text: Another type of reductionism is color physicalism. Physicalism is the view that colors are identical to certain physical properties of objects. Most commonly the relevant properties are taken to be reflectance properties of surfaces (though there are accounts of colors apart from surface colors too). Byrne, Hilbert and Kalderon defends versions of this view. They identify colors with reflectance types.

text: This color is also called regular green. It is at precisely 120 degrees on the HSV color wheel, also known as the RGB color wheel (Image of RGB color wheel). Its complementary color is magenta.

text: This color is also called regular green. It is at precisely 120 degrees on the

entity_name: HSL and HSV

text: HSV color wheel

text: , also known as the RGB color wheel (

text: Image of RGB color wheel

text: ). Its

entity_name: Complementary colors

text: complementary color

text: is

entity_name: Magenta

text: magenta

text: The seeing of blue and yellow colors while in samadhi, which is a state of union with the omnipresent Brahman, who is beyond all duality, is also similar to the idea of beatific vision.

text: The seeing of blue and yellow colors while in

entity_name: Samadhi

text: samadhi

text: , which is a state of union with the omnipresent

entity_name: Brahman

text: Brahman

text: , who is beyond all duality, is also similar to the idea of beatific vision.

method: dangnt-nlp

text: In color printing, the color called process magenta or pigment magenta is one of the three primary pigment colors which, along with yellow and cyan, constitute the three subtractive primary colors of pigment. (The secondary colors of pigment are blue, green, and red.) As such, the CMYK printing process was invented in the 1890s, when newspapers began to publish color comic strips.

text: In

entity_name: Color printing

text: color printing

text: , the color called process magenta or pigment magenta is one of the three primary pigment colors which, along with

entity_name: Yellow

text: yellow

text: and

entity_name: Cyan

text: cyan

text: , constitute the three

entity_name: Primary color

entity_section: Subtractive primaries

text: subtractive primary colors

text: of pigment. (The secondary colors of pigment are blue, green, and red.) As such, the

entity_name: CMYK color model

text: CMYK printing process

text: was invented in the 1890s, when newspapers began to publish color

entity_name: Comic strip

text: comic strip

text: s.

method: UNH-tfidf-stem

method: UNH-tfidf-ptsim

method: UNH-tfidf-lem

text: The color of a bird's beak results from concentrations of pigments—primarily melanins and carotenoids—in the epidermal layers, including the rhamphotheca.  Eumelanin, which is found in the bare parts of many bird species, is responsible for all shades of gray and black; the denser the deposits of pigment found in the epidermis, the darker the resulting color.  Phaeomelanin produces "earth tones" ranging from gold and rufous to various shades of brown. Although it is thought to occur in combination with eumelanin in beaks which are buff, tan, or horn-colored, researchers have yet to isolate phaeomelanin from any beak structure. More than a dozen types of carotenoids are responsible for the coloration of most red, orange, and yellow beaks. The hue of the color is determined by the precise mix of red and yellow pigments, while the saturation is determined by the density of the deposited pigments.  For example, bright red is created by dense deposits of mostly red pigments, while dull yellow is created by diffuse deposits of mostly yellow pigments.  Bright orange is created by dense deposits of both red and yellow pigments, in roughly equal concentrations. Beak coloration helps to make displays using those beaks more obvious.

text: The color of a bird's beak results from concentrations of

entity_name: Pigment

text: pigment

text: s—primarily

entity_name: Melanin

text: melanin

text: s and

entity_name: Carotenoid

text: carotenoids

text: —in the epidermal layers, including the rhamphotheca.

entity_section: Eumelanin

text: Eumelanin

text: , which is found in the bare parts of many bird species, is responsible for all shades of gray and black; the denser the deposits of pigment found in the epidermis, the darker the resulting color.

entity_section: Pheomelanin

text: Phaeomelanin

text: produces "earth tones" ranging from gold and rufous to various shades of brown. Although it is thought to occur in combination with eumelanin in beaks which are buff, tan, or horn-colored, researchers have yet to isolate phaeomelanin from any beak structure. More than a dozen types of carotenoids are responsible for the coloration of most red, orange, and yellow beaks. The

entity_name: Hue

text: hue

text: of the color is determined by the precise mix of red and yellow pigments, while the

entity_name: Colorfulness

text: saturation

text: is determined by the density of the deposited pigments.  For example, bright red is created by dense deposits of mostly red pigments, while dull yellow is created by diffuse deposits of mostly yellow pigments.  Bright orange is created by dense deposits of both red and yellow pigments, in roughly equal concentrations. Beak coloration helps to make displays using those beaks more obvious.

method: UNH-qee

text: A number of pigments, especially traditional ones, contain heavy metals such as lead, mercury, and cadmium that are highly toxic.  Some of these pigments have often been banned.

text: |-| | style="background:#efe196;color:#008040;" | 14 || style="background:#efe196;color:#008040;" | 14 || 40.4 || .403 || .350 || .948 || 3.9 || 2.6 || 1.07 || 0.36 || 18.3|-| | 10 || 0 || 6.0 || .500 || .000 || style="background:#efe196;color:#008040;" | 1.000 || 0.9 || 0.3 || 0.20 || 0.00 || 0.9|-| | style="background:#efe196;color:#008040;" | 14 || style="background:#efe196;color:#008040;" | 14 || 36.4 || .491 || .000 || .710 || 5.6 || 1.8 || 1.29 || 0.57 || 15.8|-| | style="background:#efe196;color:#008040;" | 14 || 0 || 16.6 || .519 || style="background:#efe196;color:#008040;" | .486 || .909 || 1.4 || 0.9 || 0.79 || 0.00 || 7.7|-| | style="background:#efe196;color:#008040;" | 14 || 0 || 11.9 || .303 || .250 || style="background:#efe196;color:#008040;" | 1.000 || 0.9 || 1.8 || 0.07 || 0.00 || 3.7|-| | 10 || 0 || 6.6 || .500 || .000 || .833 || 1.5 || 0.4 || 0.20 || 0.50 || 1.5|-| | style="background:#efe196;color:#008040;" | 14 || style="background:#efe196;color:#008040;" | 14 || 36.6 || style="background:#efe196;color:#008040;" | .575 || .000 || .667 || style="background:#efe196;color:#008040;" | 11.6 || 1.4 || 0.43 || style="background:#efe196;color:#008040;" | 2.64 || 11.9|-| | style="background:#efe196;color:#008040;" | 14 || style="background:#efe196;color:#008040;" | 14 || 39.7 || .430 || .333 || .842 || 5.8 || 3.1 || 1.07 || 0.36 || style="background:#efe196;color:#008040;" | 21.0|-| | 2 || 0 || 12.0 || .429 || .000 || .667 || 4.5 || 0.0 || 0.00 || 0.00 || 5.0|-| | 4 || 0 || 2.8 || .000 || .000 || .000 || 0.0 || 0.5 || 0.00 || 0.25 || 0.0|-| | style="background:#efe196;color:#008040;" | 14 || style="background:#efe196;color:#008040;" | 14 || style="background:#efe196;color:#008040;" | 41.2 || .417 || .250 || .657 || 9.7 || style="background:#efe196;color:#008040;" | 9.8 || style="background:#efe196;color:#008040;" | 2.50 || 0.21 || 16.9|-| | 12 || 0 || 20.5 || .423 || .448 || style="background:#efe196;color:#008040;" | 1.000 || 2.2 || 1.0 || 0.17 || 0.42 || 5.1|-| | 4 || 0 || 2.5 || .000 || .000 || style="background:#efe196;color:#008040;" | 1.000 || 0.0 || 0.0 || 0.50 || 0.00 || 0.5|}

method: ICT-DRMMTKS

method: Bert-DRMMTKS

text: Pigments appear the colors they are because they selectively reflect and absorb certain wavelengths of visible light. White light is a roughly equal mixture of the entire spectrum of visible light with a wavelength in a range from about 375 or 400 nanometers to about 760 or 780 nm. When this light encounters a pigment, parts of the spectrum are absorbed by the molecules or ions of the pigment. In organic pigments such as diazo or phthalocyanine compounds the light is absorbed by the conjugated systems of double bonds in the molecule. Some of the inorganic pigments such as vermilion (mercury sulfide) or cadmium yellow (cadmium sulfide) absorb light by transferring an electron from the negative ion (S) to the positive ion (Hg or Cd). Such compounds are designated as charge-transfer complexes, with broad absorption bands that subtract most of the colors of the incident white light. The other wavelengths or parts of the spectrum are reflected or scattered. The new reflected light spectrum creates the appearance of a color. Pigments, unlike fluorescent or phosphorescent substances, can only subtract wavelengths from the source light, never add new ones.

text: Pigments appear the colors they are because they selectively reflect and absorb certain wavelengths of

entity_name: Light

text: visible light

entity_name: White

text: White light

text: is a roughly equal mixture of the entire spectrum of visible light with a

entity_name: Wavelength

text: wavelength

text: in a range from about 375 or 400

entity_name: Nanometre

text: nanometer

text: s to about 760 or 780 nm. When this light encounters a pigment, parts of the spectrum are

entity_name: Absorption (electromagnetic radiation)

text: absorbed

text: by the molecules or ions of the pigment. In organic pigments such as

entity_name: Azo compound

text: diazo

text: or

entity_name: Phthalocyanine

text: phthalocyanine

text: compounds the light is absorbed by the

entity_name: Conjugated system

entity_section: Conjugated systems in pigments

text: conjugated systems

text: of

entity_name: Double bond

text: double bond

text: s in the molecule. Some of the inorganic pigments such as

entity_name: Vermilion

text: vermilion

text: (mercury sulfide) or

entity_name: Cadmium pigments

text: cadmium yellow

text: (cadmium sulfide) absorb light by transferring an electron from the negative ion (S) to the positive ion (Hg or Cd). Such compounds are designated as

entity_name: Charge-transfer complex

text: charge-transfer complex

text: es, with broad

entity_name: Absorption band

text: absorption band

text: s that subtract most of the colors of the incident white light. The other wavelengths or parts of the spectrum are reflected or scattered. The new reflected light spectrum creates the appearance of a

entity_name: Color

text: color

text: . Pigments, unlike

entity_name: Fluorescence

text: fluorescent

text: or

entity_name: Phosphorescence

text: phosphorescent

text: substances, can only

entity_name: Subtractive color

text: subtract

text: wavelengths from the source light, never add new ones.

text: has a red spectrum, making it the smallest Kuiper Belt Object to have its color measured.

text: has a red spectrum, making it the smallest

entity_name: Kuiper belt

text: Kuiper Belt Object

text: to have its color measured.

text: This color is also the color called red in the X11 web colors, which were originally formulated in 1987.  It is also called color wheel red.  It is at precisely zero (360) degrees on the HSV color wheel, also known as the RGB color wheel (Image of RGB color wheel).  Its complementary color is cyan.

text: This color is also the color called red in the

entity_name: Web colors

entity_section: X11 color names

text: web colors, which were originally formulated in 1987.  It is also called color wheel red.  It is at precisely zero (360) degrees on the

text: HSV color wheel

text: , also known as the RGB color wheel (

text: Image of RGB color wheel

text: ).  Its

text: complementary color

text: is

text: cyan

text: Pigments through the ages shows a "Painted swatch of cerulean blue" that is representative of the actual cobalt stannate pigment.  This color swatch matches the color shown in the color box at right. See also painted swatch and crystals of cerulean blue at ColourLex.

text: Pigments through the ages shows a "Painted swatch of cerulean blue" that is representative of the actual cobalt stannate pigment.  This

text: color swatch

text: matches the color shown in the color box at right. See also painted swatch and crystals of cerulean blue at ColourLex.

text: Hot roots is a term used by hair stylists to explain the condition brought about by applying an artificial pigment to the hair, whereby the roots (the sections of the hair follicles closest to the scalp) are noticeably warmer in color (more red/orange) than the ends of the hair.  This can happen for a few reasons, but the two most likely causes are explained below.It is helpful to understand the general nature of the lightening, or "lifting", of natural hair color.  The color of natural hair is determined by the melanin present.  Generally, the more melanin, the darker the hair.  In order for the color of hair to be lightened, a chemical must penetrate the cuticle of the hair, enter the cortex and destroy the melanin.  Permanent hair color, bleach and other decolorants can do this to varying degrees.Permanent hair color, unlike bleach and other decolorants, leaves behind an artificial pigment while destroying the natural pigment.  This pigment is a mix of the primary colors:  blue, red and yellow.  The chemical reaction that occurs within the hair follicle during a color-lightening process, in essence, destroys the natural melanin as well as the blue, red and yellow hues, respectively, one at a time.  The extent to which this occurs can be affected by the proportion of chemicals present, especially hydrogen peroxide, as well as by the temperature at which the hair is kept during the process.  Artificial hair pigment, unlike natural hair pigment, cannot be lightened to a noticeable extent by other artificial hair color.

text: Hot roots is a term used by

entity_name: Hairdresser

text: hair stylist

text: s to explain the condition brought about by applying an artificial pigment to the hair, whereby the roots (the sections of the

entity_name: Hair follicle

text: hair follicle

text: s closest to the scalp) are noticeably warmer in color (more red/orange) than the ends of the hair.  This can happen for a few reasons, but the two most likely causes are explained below.It is helpful to understand the general nature of the lightening, or "lifting", of natural hair color.  The color of natural hair is determined by the

text: melanin

text: present.  Generally, the more melanin, the darker the hair.  In order for the color of hair to be lightened, a chemical must penetrate the cuticle of the hair, enter the cortex and destroy the melanin.  Permanent hair color,

entity_name: Bleach

text: bleach

text: and other decolorants can do this to varying degrees.Permanent hair color, unlike bleach and other decolorants, leaves behind an artificial pigment while destroying the natural pigment.  This pigment is a mix of the primary colors:  blue, red and yellow.  The chemical reaction that occurs within the hair follicle during a color-lightening process, in essence, destroys the natural melanin as well as the blue, red and yellow hues, respectively, one at a time.  The extent to which this occurs can be affected by the proportion of chemicals present, especially

entity_name: Hydrogen peroxide

text: hydrogen peroxide

text: , as well as by the temperature at which the hair is kept during the process.  Artificial hair pigment, unlike natural hair pigment, cannot be lightened to a noticeable extent by other artificial hair color.

text: Violet is at one end of the spectrum of visible light, between blue and the invisible ultraviolet. It has the shortest wavelength of all the visible colors. It is the color the eye sees looking at light with a wavelength of between 380 and 450 nanometers.

text: Violet is at one end of the spectrum of visible light, between

entity_name: Blue

text: blue

text: and the invisible

entity_name: Ultraviolet

text: ultraviolet

text: . It has the shortest wavelength of all the visible colors. It is the color the eye sees looking at light with a wavelength of between 380 and 450 nanometers.

text: Red is the color at the longer-wavelengths end of the spectrum of visible light next to orange, at the opposite end from violet. Red color has a predominant light wavelength of roughly 620–740 nanometers.Light with a longer wavelength than red but shorter than terahertz radiation and microwave is called infrared.

text: Red is the

text: color

text: at the longer-

text: wavelength

text: s end of the

entity_name: Visible spectrum

text: spectrum

text: of

text: visible light

text: next to

entity_name: Orange (colour)

text: orange

text: , at the opposite end from

entity_name: Violet (color)

text: violet

text: . Red color has a predominant light wavelength of roughly 620–740

text: nanometers

text: .Light with a longer wavelength than red but shorter than

entity_name: Terahertz radiation

text: terahertz radiation

text: and

entity_name: Microwave

text: microwave

text: is called

entity_name: Infrared

text: infrared

text: The center for luxury Italian glassmaking from the 14th century was the island of Murano, which developed many new techniques and became the center of a lucrative export trade in dinnerware, mirrors, and other items. What made Venetian Murano glass significantly different was that the local quartz pebbles were almost pure silica, and were ground into a fine clear sand that was combined with soda ash obtained from the Levant, for which the Venetians held the sole monopoly. The clearest and finest glass is tinted in two ways: firstly, a natural coloring agent is ground and melted with the glass. Many of these coloring agents still exist today; for a list of coloring agents, see below. Black glass was called obsidianus after obsidian stone. A second method is apparently to produce a black glass which, when held to the light, will show the true color that this glass will give to another glass when used as a dye.

text: The center for luxury Italian glassmaking from the 14th century was the island of

entity_name: Murano

text: Murano

text: , which developed many new techniques and became the center of a lucrative export trade in

entity_name: Dinnerware

text: dinnerware

entity_name: Mirror

text: mirror

text: s, and other items. What made Venetian

entity_name: Murano glass

text: Murano glass

text: significantly different was that the local quartz pebbles were almost pure silica, and were ground into a fine clear sand that was combined with

entity_name: Sodium carbonate

text: soda ash

text: obtained from the

entity_name: Levant

text: Levant

text: , for which the Venetians held the sole

entity_name: Monopoly

text: monopoly

text: . The clearest and finest glass is tinted in two ways: firstly, a natural coloring agent is ground and melted with the glass. Many of these coloring agents still exist today; for a list of coloring agents, see below. Black glass was called obsidianus after obsidian stone. A second method is apparently to produce a black glass which, when held to the light, will show the true color that this glass will give to another glass when used as a dye.

text: |colspan="3" style="background-color:#97DEFF"|August 5, 2008|-|colspan="3" style="background-color:#97DEFF"|August 6, 2008|-|colspan="3" style="background-color:#97DEFF"|August 7, 2008|-|colspan="3" style="background-color:#97DEFF"|August 12, 2008|-|colspan="3" style="background-color:#97DEFF"|August 13, 2008|-|colspan="3" style="background-color:#97DEFF"|August 14, 2008|-|colspan="3" style="background-color:#97DEFF"|August 19, 2008|-|colspan="3" style="background-color:#97DEFF"|August 20, 2008|-|colspan="3" style="background-color:#97DEFF"|August 21, 2008|-|colspan="3" style="background-color:#97DEFF"|August 27, 2008|}

text: In color printing, the shade of cyan  called process cyan or pigment cyan is one of the three primary pigment colors which, along with yellow and magenta, constitute the three subtractive primary colors of pigment. (The secondary colors of pigment are blue, green, and red.) As such, the CMYK printing process was invented in the 1890s, when newspapers began to publish color comic strips.

text: In

text: color printing

text: , the shade of cyan  called process cyan or pigment cyan is one of the three primary pigment colors which, along with

text: yellow

text: and

text: magenta

text: , constitute the three

text: subtractive primary colors

text: CMYK printing process

text: comic strip

text: s.

text: A garnet and glass doublet uses a top portion of natural garnet fused to any color of glass to imitate a gem. The color of glass used in the doublet is all that is seen, as the garnet provides no color. If seen in reflected light, a separation line may be seen. A harder garnet makes the stones more durable. In the case of opal doublets, a backing layer of onyx or matrix (ironstone) gives the more fragile opal layer support and can make the opal look darker and higher quality.

text: A

text: garnet

text: and

text: glass

text: doublet uses a top portion of natural garnet fused to any color of glass to imitate a

text: gem

text: . The color of glass used in the doublet is all that is seen, as the garnet provides no color. If seen in reflected light, a separation line may be seen. A harder garnet makes the stones more durable. In the case of

text: opal

text: doublets, a backing layer of

text: onyx

text: or matrix (

text: ironstone

text: ) gives the more fragile opal layer support and can make the opal look darker and higher quality.

text: Structural colors are colors caused by interference effects rather than by pigments. Color effects are produced when a material is scored with fine parallel lines, formed of one or more parallel thin layers, or otherwise composed of microstructures on the scale of the color's wavelength. If the microstructures are spaced randomly, light of shorter wavelengths will be scattered preferentially to produce Tyndall effect colors: the blue of the sky (Rayleigh scattering, caused by structures much smaller than the wavelength of light, in this case air molecules), the luster of opals, and the blue of human irises. If the microstructures are aligned in arrays, for example the array of pits in a CD, they behave as a diffraction grating: the grating reflects different wavelengths in different directions due to interference phenomena, separating mixed "white" light into light of different wavelengths. If the structure is one or more thin layers then it will reflect some wavelengths and transmit others, depending on the layers' thickness.

text: Structural colors are colors caused by interference effects rather than by pigments. Color effects are produced when a material is scored with fine parallel lines, formed of one or more parallel thin layers, or otherwise composed of microstructures on the scale of the color's

text: wavelength

text: . If the microstructures are spaced randomly, light of shorter wavelengths will be scattered preferentially to produce

text: Tyndall effect

text: colors: the blue of the sky (Rayleigh scattering, caused by structures much smaller than the wavelength of light, in this case air molecules), the luster of

text: opal

text: s, and the blue of human irises. If the microstructures are aligned in arrays, for example the array of pits in a CD, they behave as a

text: diffraction grating

text: : the grating reflects different wavelengths in different directions due to

text: interference

text: phenomena, separating mixed "white" light into light of different wavelengths. If the structure is one or more thin layers then it will reflect some wavelengths and transmit others, depending on the layers' thickness.

text: The psychological perception of color is commonly thought of as a function of the power spectrum of light frequencies impinging on the photoreceptors of the retina.  In the simplest case of pure spectral light (also known as monochromatic), the spectrum of the light has power only in one narrow frequency band peak.  For these simple stimuli, there exists a continuum of perceived colors which changes as the frequency of the narrow band peak is changed.  This is the well known rainbow spectrum, which ranges from red at one end to blue and violet at the other (corresponding respectively to the long-wavelength and short-wavelength extremes of the visible range of electromagnetic radiation).

text: The psychological perception of

text: color

text: is commonly thought of as a function of the

text: power spectrum

text: of light frequencies impinging on the

text: photoreceptor

text: s of the

text: retina

text: .  In the simplest case of

text: pure spectral light

text: (also known as monochromatic), the spectrum of the light has power only in one narrow frequency band peak.  For these simple stimuli, there exists a continuum of perceived colors which changes as the frequency of the narrow band peak is changed.  This is the well known

text: rainbow

text: spectrum, which ranges from red at one end to blue and violet at the other (corresponding respectively to the long-wavelength and short-wavelength extremes of the visible range of

text: electromagnetic radiation

text: This effect is caused by the way the eye follows a moving object on the projection.  When an object on the screen moves, the eye follows the object with a constant motion, but the projector displays each alternating color of the frame at the same location for the duration of the whole frame.  So, while the eye is moving, it sees a frame of a specific color (red, for example).  Then, when the next color is displayed (green, for example), although it gets displayed at the same location overlapping the previous color, the eye has moved toward the object's next frame target.  Thus, the eye sees that specific frame color slightly shifted.  Then, the third color gets displayed (blue, for example), and the eye sees that frame's color slightly shifted again.  This effect is not perceived only for the moving object, but the whole picture.Additionally, multi-color LED-based and laser-based single-chip projectors are able to eliminate the spinning wheel and minimize the rainbow effect, since the pulse rate of LEDs and laser are not limited by physical motion. "Three-chip DLP projectors have no color wheels, and thus do not manifest this [rainbow] artifact."

text: In fine art realism and scientific descriptions of color perception, local color is the color the brain perceives an object to be. This may be radically different from the actual wavelength of light received by the eye.  For example, an apple is painted to appear red in comparison to the colors around it, but the actual pigment mixture used may be a pale green. This effect, known as color constancy, can also be observed under colored lighting in reality, and in photographs with strong color tints such as The Dress.

text: In

text: fine art realism

text: and scientific descriptions of

text: color perception

text: , local color is the color the brain perceives an object to be. This may be radically different from the actual wavelength of light received by the eye.  For example, an apple is painted to appear red in comparison to the colors around it, but the actual pigment mixture used may be a pale green. This effect, known as

text: color constancy

text: , can also be observed under colored lighting in reality, and in photographs with strong color tints such as

text: The Dress

text: Newspapers use soy ink regularly, especially for color because it creates a sharper and brighter image.  Color newspaper inks are more competitive to petroleum-based inks as well.  They are only about five to ten percent more because the price is more due to the cost of the pigment, which is not as big a factor with black inks. Color soy inks are more widely accepted because they become the most quickly cost effective after savings in terms of excess pigment, VOC and printer cleanup costs.  This “overall cost” for soy inks is significantly lower than the initial market price, and it is at this point that they become competitive with their petroleum counterparts. Soy inks also work well for label printing as they allow a reduction in ink coverage by 85% compared to water-based inks.

text: |colspan="3" style="background-color:#FF99FF"|Northern Region|-|colspan="3" style="background-color:#99CCCC"|2 February 2013|-|colspan="3" style="background-color:#99CCCC"|3 February 2013|-|colspan="3" style="background-color:#FF99FF"|North Eastern Region|-|colspan="3" style="background-color:#99CCCC"|2 February 2013|-|colspan="3" style="background-color:#99CCCC"|3 February 2013|-|colspan="3" style="background-color:#FF99FF"|Bangkok & field Region|-|colspan="3" style="background-color:#99CCCC"|3 February 2013|-|colspan="3" style="background-color:#FF99FF"|Central-West Region|-|colspan="3" style="background-color:#99CCCC"|2 February 2013|-|colspan="3" style="background-color:#FF99FF"|Central-East Region|-|colspan="3" style="background-color:#99CCCC"|3 February 2013|-|colspan="3" style="background-color:#FF99FF"|Southern Region|-|colspan="3" style="background-color:#99CCCC"|2 February 2013|-

text: Livid (blue-gray) is the opposite concept from brown. Brown colors are mainly dark orange and dark red colors—warm colors on the warm color side of the color wheel, while blue-gray (livid) colors are mainly dark blue and dark azure colors—colors on the opposite side of the color wheel—cool colors on the cool color side of the color wheel.

text: Livid (blue-gray) is the opposite concept from

text: brown

text: . Brown colors are mainly dark

text: orange

text: and dark

text: red

text: colors—warm colors on the warm color side of the

text: color wheel

text: , while blue-gray (livid) colors are mainly dark

text: blue

text: and dark

text: azure

text: colors—colors on the opposite side of the color wheel—cool colors on the cool color side of the color wheel.

text: Industrial melanism is mostly concerned with the visual effects of melanization. The idea is that the darker pigmentation helps to camouflage the organisms better in an environment darkened by pollution and therefore heightens the fitness by making it less accessible to predators; but there are a few other ideas about why melanization can help improve fitness in air-polluted areas for these populations that are not correlated to any visual effect at all. It is theorized that organisms that experience melanization have better immunity to toxic chemicals put into the environment by industrial pollution. Other studies have been conceived to find other aspects of melanization contributing to the survivability of the organism other than visual inconspicuousness. In the black arches moth (Lymantria monacha), it has been determined that the darker pigmented forms have also developed a stronger immune response to foreign objects with the attribution of the melanic pigment. The same melanic pigment that contributes to the visual coloration of the moth is also involved in the encapsulation process of foreign invaders through the immune defense of the dark-colored form of the organism. This enhanced defense against foreign invaders is helpful in an environment contaminated by industrial pollution because the toxins that are put out into the air have less chance of negatively affecting the inhabitants of that environment.

text: Industrial melanism is mostly concerned with the visual effects of melanization. The idea is that the darker pigmentation helps to camouflage the organisms better in an environment darkened by pollution and therefore heightens the fitness by making it less accessible to predators; but there are a few other ideas about why melanization can help improve fitness in air-polluted areas for these populations that are not correlated to any visual effect at all. It is theorized that organisms that experience melanization have better immunity to toxic chemicals put into the environment by industrial pollution. Other studies have been conceived to find other aspects of melanization contributing to the survivability of the organism other than visual inconspicuousness. In the black arches moth (

text: Lymantria monacha

text: ), it has been determined that the darker pigmented forms have also developed a stronger immune response to foreign objects with the attribution of the melanic pigment. The same melanic pigment that contributes to the visual coloration of the moth is also involved in the encapsulation process of foreign invaders through the immune defense of the dark-colored form of the organism. This enhanced defense against foreign invaders is helpful in an environment contaminated by industrial pollution because the toxins that are put out into the air have less chance of negatively affecting the inhabitants of that environment.

text: In a charge-coupled device Line Array CCD telecine, a “white” light is shone through the exposed film image into a prism, which separates out the image into the three primary colors, red, green and blue. Each beam of colored light is then projected at a different CCD, one for each color. The CCD converts the light into electrical impulses which the telecine electronics modulate into a video signal which can then be recorded onto video tape or broadcast.

text: In a

text: charge-coupled device

text: Line Array CCD telecine, a “white” light is shone through the exposed film image into a prism, which separates out the image into the three primary colors, red, green and blue. Each beam of colored light is then projected at a different CCD, one for each color. The CCD converts the light into electrical impulses which the telecine electronics

text: modulate

text: into a video signal which can then be recorded onto video tape or broadcast.

text: There exists some correspondence, more or less precise, between hue values and color terms (names). One approach in color science is to use traditional color terms but try to give them more precise definitions. See spectral color for names of highly saturated colors with the hue from ≈ 0° (red) up to ≈ 275° (violet), and line of purples for color terms of the remaining part of the color wheel.

text: There exists some correspondence, more or less precise, between hue values and

text: color term

text: s (names). One approach in color science is to use traditional color terms but try to give them more precise definitions. See

entity_section: Table of spectral or near-spectral colors

text: spectral color

text: for names of highly saturated colors with the hue from ≈ 0° (red) up to ≈ 275° (violet), and

text: line of purples

text: for color terms of the remaining part of the color wheel.

text: There are two types of LEDs: colored LEDs and white LEDs. Colored LEDs emit a specific color light (monochromatic light), regardless of the color of the transparent plastic lens that encases the LED's chip. The plastic may be colored for cosmetic reasons, but does not substantially affect the color of the light emitted.  Holiday lights of this type do not suffer from color fading because the light is determined by the LED's chip rather than the plastic lens.

text: There are two types of LEDs: colored LEDs and white LEDs. Colored LEDs emit a specific color light (

text: monochromatic

text: light), regardless of the color of the transparent plastic lens that encases the LED's chip. The plastic may be colored for cosmetic reasons, but does not substantially affect the color of the light emitted.  Holiday lights of this type do not suffer from color fading because the light is determined by the LED's chip rather than the plastic lens.

text: A color circle based on spectral wavelengths appears with red at one end of the spectrum and violet at the other. A wedge-shaped gap represents colors that have no unique spectral frequency. These extra-spectral colors, the purples, form from additive mixture of colors from the ends of the spectrum.

text: A color circle based on spectral wavelengths appears with

text: red

text: at one end of the spectrum and

text: violet

text: at the other. A wedge-shaped gap represents colors that have no unique spectral frequency. These extra-spectral colors, the

text: purple

text: s, form from additive mixture of colors from the ends of the spectrum.

text: Various color models have an explicit term for this property. The Munsell color model uses the term value, while the HSL color model, HCL color space and Lab color space use the term lightness. The HSV model uses the term value a little differently: a color with a low value is nearly black, but one with a high value is the pure, fully saturated color.

text: Various

text: color models

text: have an explicit term for this property. The

text: Munsell color model

text: uses the term value, while the

text: HSL color model

text: HCL color space

text: and

text: Lab color space

text: use the term lightness. The

text: HSV model

text: uses the term value a little differently: a color with a low value is nearly black, but one with a high value is the pure, fully saturated color.

text: While synesthetes sometimes report seeing colors projected in space, they do not confuse their synesthetic colors with real colors in the external world.  Rather, they report that they are simultaneously aware of the external color and also the internal, synesthetic color:

text: Controversies exist around eliminating this disorder from breeding Collies.  Some veterinarians advocate only breeding dogs with no evidence of disease, but this would eliminate a large portion of potential breeding stock.  Because of this, others recommend only breeding mildly affected dogs, but this would never completely eradicate the condition.  Also, mild cases of choroidal hypoplasia may become pigmented and therefore undiagnosable by the age of three to seven months.  If puppies are not checked for CEA before this happens, they may be mistaken for normal and bred as such.  Checking for CEA by seven weeks of age can eliminate this possibility.  Diagnosis is also difficult in dogs with coats of dilute color because lack of pigment in the choroid of these animals can be confused with choroidal hypoplasia.  Also, because of the lack of choroidal pigment, mild choroidal hypoplasia is difficult to see, and therefore cases of CEA may be missed.

text: Controversies exist around eliminating this disorder from breeding Collies.  Some

text: veterinarian

text: s advocate only breeding dogs with no evidence of disease, but this would eliminate a large portion of potential breeding stock.  Because of this, others recommend only breeding mildly affected dogs, but this would never completely eradicate the condition.  Also, mild cases of choroidal hypoplasia may become pigmented and therefore undiagnosable by the age of three to seven months.  If puppies are not checked for CEA before this happens, they may be mistaken for normal and bred as such.  Checking for CEA by seven weeks of age can eliminate this possibility.  Diagnosis is also difficult in dogs with

text: coat

text: s of dilute color because lack of pigment in the choroid of these animals can be confused with choroidal hypoplasia.  Also, because of the lack of choroidal pigment, mild choroidal hypoplasia is difficult to see, and therefore cases of CEA may be missed.

text: In the subtractive color system,  used in painting and color printing, green is created by a combination of yellow and blue, or yellow and cyan;  in the RGB color model, used on television and computer screens, it is one of the additive primary colors, along with red and blue, which are mixed in different combinations to create all other colors.    On the HSV color wheel, also known as the RGB color wheel,  the complement of green is magenta; that is, a color corresponding to an equal mixture of red and blue light (one of the purples). On a traditional color wheel, based on subtractive color, the complementary color to green is considered to be red.

text: In the

text: subtractive color

text: system,  used in painting and color printing, green is created by a combination of yellow and blue, or yellow and

text: cyan

text: ;  in the

text: RGB color model

text: , used on television and computer screens, it is one of the

text: additive primary colors

text: , along with red and blue, which are mixed in different combinations to create all other colors.    On the

text: HSV color wheel

text: , also known as the

text: RGB color wheel

text: ,  the

text: complement

text: of green is

text: magenta

text: ; that is, a color corresponding to an equal mixture of

text: red

text: and

text: blue

text: light (one of the

text: purple

text: s). On a traditional color wheel, based on subtractive color, the complementary color to green is considered to be red.

text: Color is usually attributed to external bodies. However, color is actually the activity of the eye's retina. It is a sensation. The external body is perceived as the cause of the sensation of color. We say, "The body is red." In reality, though, color exists only in the retina of the eye. It is separate from the external object. Color is a mere sensation in the sense organ. The external object is perceived by the intellect's understanding as being the cause of sensations.

text: |-!colspan=12 style="background:#00337F; color:#FFFFFF;"| Regular season|-!colspan=12 style="background:#FFFFFF; color:#00337F;"|

entity_name: 2015 America East Women's Basketball Tournament

text: Many species can see light with frequencies outside the human "visible spectrum". Bees and many other insects can detect ultraviolet light, which helps them to find nectar in flowers. Plant species that depend on insect pollination may owe reproductive success to ultraviolet "colors" and patterns rather than how colorful they appear to humans. Birds, too, can see into the ultraviolet (300–400 nm), and some have sex-dependent markings on their plumage that are visible only in the ultraviolet range. Many animals that can see into the ultraviolet range, however, cannot see red light or any other reddish wavelengths.  For example, bees' visible spectrum ends at about 590 nm, just before the orange wavelengths start. Birds, however, can see some red wavelengths, although not as far into the light spectrum as humans. It is an incorrect popular belief that the common goldfish is the only animal that can see both infrared and ultraviolet light, their color vision extends into the ultraviolet but not the infrared.

text: Many species can see light with frequencies outside the human "visible spectrum".

text: Bee

text: s and many other insects can detect ultraviolet light, which helps them to find

text: nectar

text: in flowers. Plant species that depend on insect pollination may owe reproductive success to ultraviolet "colors" and patterns rather than how colorful they appear to humans. Birds, too, can see into the ultraviolet (300–400 nm), and some have sex-dependent markings on their plumage that are visible only in the ultraviolet range. Many animals that can see into the ultraviolet range, however, cannot see red light or any other reddish wavelengths.  For example, bees' visible spectrum ends at about 590 nm, just before the orange wavelengths start. Birds, however, can see some red wavelengths, although not as far into the light spectrum as humans. It is an incorrect popular belief that the common goldfish is the only animal that can see both infrared and ultraviolet light, their color vision extends into the ultraviolet but not the infrared.

text: The specimen is illuminated with light of a specific wavelength (or wavelengths) which is absorbed by the fluorophores, causing them to emit light of longer wavelengths (i.e., of a different color than the absorbed light). The illumination light is separated from the much weaker emitted fluorescence through the use of a spectral emission filter. Typical components of a fluorescence microscope are a light source (xenon arc lamp or mercury-vapor lamp are common; more advanced forms are high-power LEDs and lasers), the excitation filter, the dichroic mirror (or dichroic beamsplitter), and the emission filter (see figure below). The filters and the dichroic are chosen to match the spectral excitation and emission characteristics of the fluorophore used to label the specimen. In this manner, the distribution of a single fluorophore (color) is imaged at a time. Multi-color images of several types of fluorophores must be composed by combining several single-color images.

text: The specimen is illuminated with light of a specific

text: wavelength

text: (or wavelengths) which is absorbed by the

text: fluorophores

text: , causing them to emit light of longer wavelengths (i.e., of a different color than the absorbed light). The illumination light is separated from the much weaker emitted fluorescence through the use of a spectral emission filter. Typical components of a fluorescence microscope are a light source (

text: xenon arc lamp

text: or

text: mercury-vapor lamp

text: are common; more advanced forms are high-power

text: LED

text: s and

text: laser

text: s), the

text: excitation filter

text: , the

text: dichroic mirror

text: (or

text: dichroic beamsplitter

text: ), and the

text: emission filter

text: (see figure below). The filters and the dichroic are chosen to match the spectral excitation and emission characteristics of the fluorophore used to label the specimen. In this manner, the distribution of a single fluorophore (color) is imaged at a time. Multi-color images of several types of fluorophores must be composed by combining several single-color images.

text: |-| style="text-align:left;" | | style="background:#FFF; color:#000;" | 78| style="background:#FFF; color:#000;" | 26| 22.7| .400| .339| .780| 2.2| 1.0| 0.62| 0.14| 7.2|- style="background:#f0f0f0;"| style="text-align:left;" | | 73| 7| 22.2| .476| .278| .742| 5.3| 1.5| 1.03| 0.52| 11.2|-| style="text-align:left;" | | 22| 1| 7.8| .458| .000| .750| 0.9| 0.2| 0.36| 0.05| 1.1|- style="background:#f0f0f0;"| style="text-align:left;" | | 30| 6| 13.3| .390| .000| .540| 5.0| 0.2| 0.43| 0.07| 2.7|-| style="text-align:left;" | | 54| 54| 20.5| .441| .000| .809| 6.6| 1.5| 0.80| 0.74| 6.5|- style="background:#f0f0f0;"| style="text-align:left;" | | 15| 2| 16.3| .463| .250| .750| 1.5| 2.0| 0.67| 0.07| 4.1|-| style="text-align:left;" | | 79| 79| 32.6| .454| .401| .815| 3.4| 2.7| 0.59| 0.13| 15.8|- style="background:#f0f0f0;"| style="text-align:left;" | | 45| 4| 19.0| .513| .200| style="background:#FFF; color:#000;" | .513| 3.2| 1.6| 0.89| 0.42| 5.0|-| style="text-align:left;" | | style="background:#FFF; color:#000;" | 76| style="background:#FFF; color:#000;" | 54| 26.0| .483| .167| .827| 3.2| 3.2| style="background:#FFF; color:#000;" | 1.22| 0.41| 8.3|- style="background:#f0f0f0;"| style="text-align:left;" | | 17| 17| 31.4| style="background:#FFF; color:#000;" | .563| .000| style="background:#FFF; color:#000;" | .817| 6.0| 0.9| 0.53| 1.76| style="background:#FFF; color:#000;" | 20.7|-| style="text-align:left;" | | style="background:#FFF; color:#000;" | 70| style="background:#FFF; color:#000;" | 22| style="background:#FFF; color:#000;" | 18.2| style="background:#FFF; color:#000;" | .659| style="background:#FFF; color:#000;" | .000| style="background:#FFF; color:#000;" | .626| style="background:#FFF; color:#000;" | 4.4| style="background:#FFF; color:#000;" | 0.9| style="background:#FFF; color:#000;" | 0.70| style="background:#FFF; color:#000;" | 0.79| style="background:#FFF; color:#000;" | 7.4|- style="background:#f0f0f0;"| style="text-align:left;" | | 75| 68| 28.0| .451| .373| .826| 4.6| 2.4| 1.15| 0.41| 13.5|-| style="text-align:left;" | | 17| 0| style="background:#FFF; color:#000;" | 8.1| style="background:#FFF; color:#000;" | .458| .000| .380| 0.8| style="background:#FFF; color:#000;" | 0.7| 0.12| 0.06| 1.5|- style="background:#f0f0f0;"| style="text-align:left;" | | 23| 3| style="background:#FFF; color:#000;" | 11.7| .341| .250| style="background:#FFF; color:#000;" | .800| style="background:#FFF; color:#000;" | 0.7| style="background:#FFF; color:#000;" | 1.6| style="background:#FFF; color:#000;" | 0.52| 0.04| style="background:#FFF; color:#000;" | 3.9|-| style="text-align:left;" | | 21| 1| 9.6| style="background:#FFF; color:#000;" | .415| style="background:#FFF; color:#000;" | .375| style="background:#FFF; color:#000;" | .789| style="background:#FFF; color:#000;" | 1.0| 1.4| 0.38| 0.05| style="background:#FFF; color:#000;" | 3.0|- style="background:#f0f0f0;"| style="text-align:left;" | | style="background:#FFF; color:#000;" | 72| style="background:#FFF; color:#000;" | 7| style="background:#FFF; color:#000;" | 19.4| style="background:#FFF; color:#000;" | .418| style="background:#FFF; color:#000;" | .390| .710| style="background:#FFF; color:#000;" | 3.7| style="background:#FFF; color:#000;" | 0.8| style="background:#FFF; color:#000;" | 0.40| style="background:#FFF; color:#000;" | 0.32| style="background:#FFF; color:#000;" | 8.6|-| style="text-align:left;" | | 35| 0| 16.3| .362| .379| .670| 1.1| 1.6| 0.37| 0.00| 4.5|- style="background:#f0f0f0;"| style="text-align:left;" | | 26| 1| 23.8| .414| style="background:#FFF; color:#000;" | .380| .800| 2.8| 1.2| 1.04| 0.12| 12.3|-| style="text-align:left;" | | 64| 58| 32.2| .450| .366| .801| 2.6| 6.1| 1.45| 0.20| 14.3|-! Totals! 82! —! —! .459! .369! .753! 38.1! 20.9! 8.60! 3.79! 98.5|}

text: The color temperature of a light source is the temperature of an ideal black-body radiator that radiates light of comparable hue to that of the light source. Color temperature is a characteristic of visible light that has important applications in lighting, photography, videography, publishing, manufacturing, astrophysics, horticulture, and other fields. In practice, color temperature is only meaningful for light sources that do in fact correspond somewhat closely to the radiation of some black body, i.e., those on a line from reddish/orange via yellow and more or less white to blueish white; it does not make sense to speak of the color temperature of, e.g., a green or a purple light. Color temperature is conventionally expressed in kelvins, using the symbol K, a unit of measure for temperature based on the Kelvin scale.

text: The color temperature of a light source is the

text: temperature

text: of an ideal

text: black-body radiator

text: that radiates light of comparable

text: hue

text: to that of the light source. Color temperature is a characteristic of

text: visible light

text: that has important applications in

text: lighting

text: photography

text: videography

text: publishing

text: manufacturing

text: astrophysics

text: horticulture

text: , and other fields. In practice, color temperature is only meaningful for light sources that do in fact correspond somewhat closely to the radiation of some black body, i.e., those on a line from reddish/orange via yellow and more or less white to blueish white; it does not make sense to speak of the color temperature of, e.g., a green or a purple light. Color temperature is conventionally expressed in

text: kelvins

text: , using the symbol K, a

text: unit of measure

text: for temperature based on the Kelvin scale.

text: A useful concept in understanding the perceived color of a non-monochromatic light source is the dominant wavelength, which identifies the single wavelength of light that produces a sensation most similar to the light source. Dominant wavelength is roughly akin to hue.

text: A useful concept in understanding the perceived color of a non-monochromatic light source is the

text: dominant wavelength

text: , which identifies the single wavelength of light that produces a sensation most similar to the light source. Dominant wavelength is roughly akin to

text: hue

text: The body of the fish is light colored with six dark patches giving a banded appearance.  The ventral side is cream colored in the back with a series of dark bands toward the front, separated by cream colored or light brown bands.  The maxillary barbels are dark brown to black, mandibular barbels are cream colored.   The tail is milky-colored with a prominent black spot in each of the two lobes just behind the fork of the fin.

text: The color defined as purple in the Munsell color system (Munsell 5P) is shown at right. The Munsell color system is a color space that specifies colors based on three color dimensions: hue, value (lightness), and chroma (color purity), spaced uniformly in three dimensions in the elongated oval at an angle shaped Munsell color solid according to the logarithmic scale which governs human perception. In order for all the colors to be spaced uniformly, it was found necessary to use a color wheel with five primary colors—red, yellow, green, blue, and purple.

text: The color defined as purple in the Munsell color system (Munsell 5P) is shown at right. The Munsell color system is a

text: color space

text: that specifies colors based on three color dimensions:

text: hue

text: , value (

text: lightness

text: ), and

text: chroma

text: (color purity), spaced uniformly in three dimensions in the elongated oval at an angle shaped Munsell

text: color solid

text: according to the

text: logarithmic scale

text: which governs

text: human perception

text: . In order for all the colors to be spaced uniformly, it was found necessary to use a color wheel with five primary colors—red, yellow, green, blue, and purple.

text: Ancient colored walls at Dendera, Egypt, which were exposed for years to the elements, still possess their brilliant color, as vivid as when they were painted about 2,000 years ago. The Egyptians mixed their colors with a gummy substance, and applied them separately from each other without any blending or mixture. They appear to have used six colors: white, black, blue, red, yellow, and green. They first covered the area entirely with white, then traced the design in black, leaving out the lights of the ground color. They used minium for red, and generally of a dark tinge.

text: Ancient colored walls at

text: Dendera

text: Egypt

text: , which were exposed for years to the elements, still possess their brilliant color, as vivid as when they were painted about 2,000 years ago. The Egyptians mixed their colors with a gummy substance, and applied them separately from each other without any blending or mixture. They appear to have used six colors: white, black, blue, red, yellow, and green. They first covered the area entirely with white, then traced the design in black, leaving out the lights of the ground color. They used

text: minium

text: for red, and generally of a dark tinge.

text: In 2000, the Israeli company Lumus was founded by Dr. Yaakov Amitai to develop and market its Light-guide Optical Element (LOE) technology for eyewear displays (see-through wearable displays). The LOE is a patented optical waveguide that makes use of multiple partial reflectors embedded in a single substrate to reflect a virtual image into the eye of the wearer. Specifically, the image is coupled into the LOE by a "Pod" (micro-display projector) that sits at the edge of the waveguide—in an eyeglass configuration, this is embedded in the temple of the glasses. The image travels through total internal reflection to the multiple array of partial reflectors and are reflected to the eye. While each partial reflector shows only a portion of the image,the optics are such that the wearer sees the combined array and perceives it as a single uniform image projected at infinity.The transparent display enables a virtual image to be seamlessly overlaid over the wearer's real world view. This is especially true when the source image comprises a black background with light color wording or symbology being displayed.  Black is essentially see-through color, while lighter colored objects, symbols or characters appear to float in the wearer's line of sight. Conversely, full-screen images like documents, internet pages, movies which are typically brighter colors can be displayed to look like a large virtual image floating a few meter's away from the wearer.

text: In his Vocabolario (1681) he presented terms of art and technical terms, not only for the fine arts but for goldsmith's work, pietre dure, color pigments and tools.

text: In his Vocabolario (1681) he presented terms of art and technical terms, not only for the

text: fine arts

text: but for goldsmith's work,

text: pietre dure

text: , color pigments and tools.

text: CTIA/GTIA supports several options controlling Player/Missile color. The PRIOR/GPRIOR register value can switch the four Missiles between two color display options—each Missile (0 to 3) expresses the color of the associated Player object (0 to 3) or all Missiles show the color of register COLPF3/COLOR3. When Missiles are similarly colored they can be treated as a fifth player, but correct placement on screen still requires storing values in all four Missile Horizontal Position registers.  PRIOR/GPRIOR also controls a feature that causes the overlapping pixels of two Players to generate a third color allowing multi-colored Player objects at the expense of reducing the number of available objects.  Finally, PRIOR/GPRIOR can be used to change the foreground/background layering (called, "priority") of Player/Missile pixels vs Playfield pixels, and can create priority conflicts that predictably affect the colors displayed.

text: CTIA/GTIA supports several options controlling Player/Missile color. The

text: PRIOR/GPRIOR

text: register value can switch the four Missiles between two color display options—each Missile (0 to 3) expresses the color of the associated Player object (0 to 3) or all Missiles show the color of register

text: . When Missiles are similarly colored they can be treated as a fifth player, but correct placement on screen still requires storing values in all four Missile

entity_section: Missile Player/Missile Horizontal Coordinates

text: Horizontal Position registers

text: PRIOR/GPRIOR

text: also controls a feature that causes the overlapping pixels of two Players to generate a third color allowing multi-colored Player objects at the expense of reducing the number of available objects.  Finally,

text: PRIOR/GPRIOR

text: can be used to change the foreground/background layering (called, "priority") of Player/Missile pixels vs Playfield pixels, and can create priority conflicts that predictably affect the colors displayed.

text: and when you see those colors gold and blue,

text: |-!colspan=9 style="background:#FF7F00; color:#FFFFFF;"| Exhibition|-!colspan=9 style="background:#FF7F00; color:#FFFFFF;"| Out of Conference Schedule|-!colspan=9 style="background:#FF7F00; color:#FFFFFF;"| Southland Conference Schedule

text: In color television and video cameras manufactured before the 1990s, the incoming light was separated by prisms and filters into the three RGB primary colors feeding each color into a separate video camera tube (or pickup tube). These tubes are a type of cathode ray tube, not to be confused with that of CRT displays.

text: In color

text: television and video camera

text: s manufactured before the 1990s, the incoming light was separated by

text: prism

text: s and filters into the three RGB primary colors feeding each color into a separate

text: video camera tube

text: (or pickup tube). These tubes are a type of cathode ray tube, not to be confused with that of CRT displays.

text: The three color records are stacked as shown at right, with a UV filter on top to keep the non-visible ultraviolet radiation from exposing the silver-halide crystals, which are naturally sensitive to UV light.  Next are the fast and slow blue-sensitive layers, which, when developed, form the latent image.  When the exposed silver-halide crystal is developed, it is coupled with a dye grain of its complementary color.  This forms a dye "cloud" (like a drop of water on a paper towel) and is limited in its growth by development-inhibitor-releasing (DIR) couplers, which also serve to refine the sharpness of the processed image by limiting the size of the dye clouds. The dye clouds formed in the blue layer are actually yellow (the opposite or complementary color to blue).  There are two layers to each color; a "fast" and a "slow."  The fast layer features larger grains that are more sensitive to light than the slow layer, which has finer grain and is less sensitive to light.  Silver-halide crystals are naturally sensitive to blue light, so the blue layers are on the top of the film and they are followed immediately by a yellow filter, which stops any more blue light from passing through to the green and red layers and biasing those crystals with extra blue exposure.  Next are the red-sensitive record (which forms cyan dyes when developed); and, at the bottom, the green-sensitive record, which forms magenta dyes when developed.  Each color is separated by a gelatin layer that prevents silver development in one record from causing unwanted dye formation in another. On the back of the film base is an anti-halation layer that absorbs light which would otherwise be weakly reflected back through the film by that surface and create halos of light around bright features in the image. In color film, this backing is "rem-jet", a black-pigmented, non-gelatin layer which is removed in the developing process.

text: film base

text: is an anti-halation layer that absorbs light which would otherwise be weakly reflected back through the film by that surface and create halos of light around bright features in the image. In color film, this backing is "rem-jet", a black-pigmented, non-gelatin layer which is removed in the developing process.

text: The status of some color words as abstract or descriptive is debatable. The color "pink" was originally a descriptive color word derived from the name of a flower called a "pink" (see dianthus); however, because the word "pink" (flower) has become very rare whereas "pink" (color) has become very common, many native speakers of English use "pink" as an abstract color word alone and furthermore consider it to be one of the basic color terms of English. The name "purple" is another example of this shift, as it was originally a word that referred to a dye (see Tyrian purple).

text: The status of some color words as abstract or descriptive is debatable. The color "

text: pink

text: " was originally a descriptive color word derived from the name of a flower called a "pink" (see

text: dianthus

text: ); however, because the word "pink" (flower) has become very rare whereas "pink" (color) has become very common, many native speakers of English use "pink" as an abstract color word alone and furthermore consider it to be one of the basic color terms of English. The name "

text: purple

text: " is another example of this shift, as it was originally a word that referred to a

text: dye

text: (see

text: Tyrian purple

text: |-|- align="center" bgcolor=""| Ömer Aşık || style="background:black;color:#d40026;" | 15 || 0 || 9.9 || .462 || .0 || .300 || 2.1 || .1 || .13 || .53 || 1.0|- align="center" bgcolor="#f0f0f0"| Keith Bogans || style="background:black;color:#d40026;" | 16 || style="background:black;color:#d40026;" | 16 || 19.2 || .406 || .424 || .250 || 1.3 || .8 || .63 || .19 || 5.1|- align="center" bgcolor=""| Carlos Boozer || style="background:black;color:#d40026;" | 16 || style="background:black;color:#d40026;" | 16 || 31.7 || .433 || .0 || .800 || 9.7 || 1.8 || .56 || .44 || 12.6|- align="center" bgcolor="#f0f0f0"| Ronnie Brewer || style="background:black;color:#d40026;" | 16 || 0 || 16.3 || .480 || .429 || .765 || 2.1 || .9 || .75 || .38 || 4.0|- align="center" bgcolor="#f0f0f0"| Rasual Butler || 3 || 0 || 2.3 || style="background:black;color:#d40026;" | 1.000 ||  style="background:black;color:#d40026;" | 1.000 || .0 || .3 || .0 || .0 || .0 || 1.0|- align="center" bgcolor="#f0f0f0"| Luol Deng || style="background:black;color:#d40026;" | 16 || style="background:black;color:#d40026;" | 16 || style="background:black;color:#d40026;" | 42.9 || .426 || .324 || .839 || 6.6 || 2.7 || style="background:black;color:#d40026;" | 1.50 || .63 || 16.9|- align="center" bgcolor="#f0f0f0"| Taj Gibson || style="background:black;color:#d40026;" | 16 || 0 || 17.8 || .566 || .000 || .600 || 4.1 || 0.6 || .31  || 1.38 || 5.9|- align="center" bgcolor=""| Kyle Korver || style="background:black;color:#d40026;" | 16 || 0 || 17.3 || .388 || .423 || style="background:black;color:#d40026;" | 1.000 || 1.2 || 1.1 || .50 || .19 || 6.6|- align="center" bgcolor="f0f0f0"| Joakim Noah || style="background:black;color:#d40026;" | 16 ||  style="background:black;color:#d40026;" | 16 || 33.1 || .411 || .0 || .725 || style="background:black;color:#d40026;" | 10.2 || 2.5 || 1.0 || style="background:black;color:#d40026;" | 2.06 || 8.7|- align="center" bgcolor=""| Derrick Rose || style="background:black;color:#d40026;" | 16 ||  style="background:black;color:#d40026;" | 16 || 40.6 || .396 || .248 || .828 || 4.3 || style="background:black;color:#d40026;" | 7.7 ||  1.38 || .69 || style="background:black;color:#d40026;" | 27.1|- align="center" bgcolor="#f0f0f0"| Kurt Thomas || 7 || 0 || 10.6 || .556 || .000 || .000 || 2.7 || .4 || .14 || .43 || 2.9|- align="center" bgcolor="#f0f0f0"| C. J. Watson || style="background:black;color:#d40026;" | 16 || 0 || 8.5 || .339 || .200 || .909 || .9 || 1.9 || .50 || .0 || 3.2|}

text: |-|- align="center" bgcolor=""|

text: Ömer Aşık

text: || style="background:black;color:#d40026;" | 15 || 0 || 9.9 || .462 || .0 || .300 || 2.1 || .1 || .13 || .53 || 1.0|- align="center" bgcolor="#f0f0f0"|

text: Keith Bogans

text: || style="background:black;color:#d40026;" | 16 || style="background:black;color:#d40026;" | 16 || 19.2 || .406 || .424 || .250 || 1.3 || .8 || .63 || .19 || 5.1|- align="center" bgcolor=""|

text: Carlos Boozer

text: || style="background:black;color:#d40026;" | 16 || style="background:black;color:#d40026;" | 16 || 31.7 || .433 || .0 || .800 || 9.7 || 1.8 || .56 || .44 || 12.6|- align="center" bgcolor="#f0f0f0"|

text: Ronnie Brewer

text: || style="background:black;color:#d40026;" | 16 || 0 || 16.3 || .480 || .429 || .765 || 2.1 || .9 || .75 || .38 || 4.0|- align="center" bgcolor="#f0f0f0"|

text: Rasual Butler

text: || 3 || 0 || 2.3 || style="background:black;color:#d40026;" | 1.000 ||  style="background:black;color:#d40026;" | 1.000 || .0 || .3 || .0 || .0 || .0 || 1.0|- align="center" bgcolor="#f0f0f0"|

text: Luol Deng

text: || style="background:black;color:#d40026;" | 16 || style="background:black;color:#d40026;" | 16 || style="background:black;color:#d40026;" | 42.9 || .426 || .324 || .839 || 6.6 || 2.7 || style="background:black;color:#d40026;" | 1.50 || .63 || 16.9|- align="center" bgcolor="#f0f0f0"|

text: Taj Gibson

text: || style="background:black;color:#d40026;" | 16 || 0 || 17.8 || .566 || .000 || .600 || 4.1 || 0.6 || .31  || 1.38 || 5.9|- align="center" bgcolor=""|

text: Kyle Korver

text: || style="background:black;color:#d40026;" | 16 || 0 || 17.3 || .388 || .423 || style="background:black;color:#d40026;" | 1.000 || 1.2 || 1.1 || .50 || .19 || 6.6|- align="center" bgcolor="f0f0f0"|

text: Joakim Noah

text: || style="background:black;color:#d40026;" | 16 ||  style="background:black;color:#d40026;" | 16 || 33.1 || .411 || .0 || .725 || style="background:black;color:#d40026;" | 10.2 || 2.5 || 1.0 || style="background:black;color:#d40026;" | 2.06 || 8.7|- align="center" bgcolor=""|

text: Derrick Rose

text: || style="background:black;color:#d40026;" | 16 ||  style="background:black;color:#d40026;" | 16 || 40.6 || .396 || .248 || .828 || 4.3 || style="background:black;color:#d40026;" | 7.7 ||  1.38 || .69 || style="background:black;color:#d40026;" | 27.1|- align="center" bgcolor="#f0f0f0"|

text: Kurt Thomas

text: || 7 || 0 || 10.6 || .556 || .000 || .000 || 2.7 || .4 || .14 || .43 || 2.9|- align="center" bgcolor="#f0f0f0"|

text: C. J. Watson

text: || style="background:black;color:#d40026;" | 16 || 0 || 8.5 || .339 || .200 || .909 || .9 || 1.9 || .50 || .0 || 3.2|}

text: Mccreedy has also designed a series of bedroom furnishings called "My Blue Heaven" with Bernarda Beds, which Mccreedy describes as "Bed as Art", which feature his Mccreedy blue colors on their traditional white background. He has also produced other items, including tables. They are sold under the luxury brand  (stylized as CONORMCCREEDY), a company for which Mccreedy serves as the Founder and Creative Director . Works produced by the company have included some integrated natural glow pigments, created by infusing phosphor into Mccreedy's pigments.

text: In astronomy, color–color diagrams are a means of comparing the apparent magnitudes of stars at different wavelengths. Astronomers typically observe at narrow bands around certain wavelengths, and objects observed will have different brightnesses in each band. The difference in brightness between two bands is referred to as color. On color–color diagrams, the color defined by two wavelength bands is plotted on the horizontal axis, and then the color defined by another brightness difference (though usually there is one band involved in determining both colors) will be plotted on the vertical axis.

text: In

text: astronomy

text: , color–color diagrams are a means of comparing the

text: apparent magnitude

text: s of

text: star

text: s at different

text: wavelength

text: s.

text: Astronomer

text: s typically observe at narrow bands around certain wavelengths, and objects observed will have different

text: brightnesses

text: in each band. The difference in brightness between two bands is referred to as

text: color

text: . On color–color diagrams, the color defined by two wavelength bands is plotted on the horizontal

text: axis

text: , and then the color defined by another brightness difference (though usually there is one band involved in determining both colors) will be plotted on the vertical axis.

text: Melanin is yellowish-brown to dark brown in the stromal pigment cells, and black in the iris pigment epithelium, which lies in a thin but very opaque layer across the back of the iris. Most human irises also show a condensation of the brownish stromal melanin in the thin anterior border layer, which by its position has an overt influence on the overall color. The degree of dispersion of the melanin, which is in subcellular bundles called melanosomes, has some influence on the observed color, but melanosomes in the iris of humans and other vertebrates are not mobile, and the degree of pigment dispersion cannot be reversed. Abnormal clumping of melanosomes does occur in disease and may lead to irreversible changes in iris color (see heterochromia, below). Colors other than brown or black are due to selective reflection and absorption from the other stromal components. Sometimes lipofuscin, a yellow "wear and tear" pigment, also enters into the visible eye color, especially in aged or diseased green eyes.

text: Melanin is yellowish-brown to dark brown in the stromal pigment cells, and black in the

text: iris pigment epithelium

text: , which lies in a thin but very opaque layer across the back of the iris. Most human irises also show a condensation of the brownish stromal melanin in the thin anterior border layer, which by its position has an overt influence on the overall color. The degree of dispersion of the melanin, which is in subcellular bundles called

text: melanosomes

text: , has some influence on the observed color, but melanosomes in the iris of humans and other vertebrates are not mobile, and the degree of pigment dispersion cannot be reversed. Abnormal clumping of melanosomes does occur in disease and may lead to irreversible changes in iris color (see

text: heterochromia

text: , below). Colors other than brown or black are due to selective reflection and absorption from the other stromal components. Sometimes

text: lipofuscin

text: , a yellow "wear and tear" pigment, also enters into the visible eye color, especially in aged or diseased green eyes.

text: In 1949, the color names of Crayola crayons were reformed and became more scientific, more of the names of the colors of the crayons being based on the names of colors in the original 1930 edition of the Dictionary of Color and the color names of the Munsell color system. Crayola crayons set up a color naming system similar to that used in the Munsell Color Wheel, except that violet instead of purple was used as the secondary color on the color wheel between red and blue. The web color fuchsia is equivalent to the pure chroma on Munsell Color Wheel of the Munsell color system that is designated as "5RP" (reddish purple) i.e., a purple that is shaded toward red (the color we can achieve today with computers is a much more saturated pure color wheel chroma hue than the original color chip shown on the Munsell color wheel diagram in the Munsell color system article). In 1972, a new Crayola crayon color was introduced called hot magenta which is the closest equivalent to the web color fuchsia  in Crayola crayons. (See List of Crayola crayon colors.)

text: In 1949, the color names of Crayola crayons were reformed and became more scientific, more of the names of the colors of the crayons being based on the names of colors in the original 1930 edition of the Dictionary of Color and the color names of the

text: Munsell color system

text: . Crayola crayons set up a color naming system similar to that used in the Munsell Color Wheel, except that

text: violet

text: instead of

text: purple

text: was used as the secondary color on the

text: color wheel

text: between red and blue. The web color fuchsia is equivalent to the pure chroma on Munsell Color Wheel of the Munsell color system that is designated as "5RP" (reddish purple) i.e., a purple that is shaded toward

text: red

text: (the color we can achieve today with computers is a much more saturated pure color wheel

text: chroma

text: hue than the original color chip shown on the Munsell color wheel diagram in the Munsell color system article). In 1972, a new Crayola crayon color was introduced called hot magenta which is the closest equivalent to the web color fuchsia  in Crayola crayons. (See

text: List of Crayola crayon colors

text: New techniques developed in the nineteenth and twentieth centuries revolutionized book illustrations and put new resources at the disposal of artists and designers. In the early nineteenth century, the photogravure process allowed for photographs to be reproduced in books. In this process, light-sensitive gelatin was used to transfer the image to a metal plate, which would then be etched. Another process, chromolithography, which was developed in France in the mid-nineteenth century, permitted color printing. The process was extremely labor-intensive and expensive though as the artist would have to prepare a separate plate for each color used. In the late twentieth century, the process known as offset lithography made color printing cheaper and less-time consuming for the artist. The process used a chemical process to transfer a photographic negative to a rubber surface before printing.

text: New techniques developed in the nineteenth and twentieth centuries revolutionized book illustrations and put new resources at the disposal of artists and designers. In the early nineteenth century, the

text: photogravure

text: process allowed for photographs to be reproduced in books. In this process, light-sensitive gelatin was used to transfer the image to a metal plate, which would then be etched. Another process,

text: chromolithography

text: , which was developed in France in the mid-nineteenth century, permitted color printing. The process was extremely labor-intensive and expensive though as the artist would have to prepare a separate plate for each color used. In the late twentieth century, the process known as

text: offset lithography

text: made color printing cheaper and less-time consuming for the artist. The process used a chemical process to transfer a photographic negative to a rubber surface before printing.

text: Color vision in squirrel monkeys has been extensively studied as a stand-in for human ailments. In humans, two genes for color vision are found on the X chromosome. Typically, one gene (OPN1LW) produces a pigment that is most sensitive to the 564 nm wavelength, while the other gene (OPN1MW) produces a pigment most sensitive to 534 nm. In squirrel monkeys, there is only one gene on the X chromosome but it exists in three varieties: one is most sensitive to 538 nm, one to 551 nm, and one to 561 nm. Since males have only one X chromosome, they are dichromatic, although with different sensitivities. Females, on the other hand, have two X chromosomes, so some of them can have copies of two different alleles. The three alleles seem to be equally common, leading to one-third of females being dichromatic, while two-thirds are trichromatic. Recently, gene therapy has given the human OPN1LW gene to adult male squirrel monkeys, producing behavior consistent with trichromatic color vision.

text: Color vision

text: in squirrel monkeys has been extensively studied as a stand-in for human ailments. In humans, two

text: gene

text: s for color vision are found on the

text: X chromosome

text: . Typically, one gene (

text: ) produces a pigment that is most sensitive to the 564 nm

text: wavelength

text: , while the other gene (

text: ) produces a pigment most sensitive to 534 nm. In squirrel monkeys, there is only one gene on the X chromosome but it exists in three varieties: one is most sensitive to 538 nm, one to 551 nm, and one to 561 nm. Since males have only one X chromosome, they are

text: dichromatic

text: , although with different sensitivities. Females, on the other hand, have two X chromosomes, so some of them can have copies of two different

text: allele

text: s. The three alleles seem to be equally common, leading to one-third of females being dichromatic, while two-thirds are

text: trichromatic

text: . Recently,

text: gene therapy

text: has given the human OPN1LW gene to adult male squirrel monkeys, producing behavior consistent with trichromatic color vision.

text: One common application of the RGB color model is the display of colors on a cathode ray tube (CRT), liquid crystal display (LCD), plasma display, or organic light emitting diode (OLED) display such as a television, a computer’s monitor, or a large scale screen. Each pixel on the screen is built by driving three small and very close but still separated RGB light sources. At common viewing distance, the separate sources are indistinguishable, which tricks the eye to see a given solid color. All the pixels together arranged in the rectangular screen surface conforms the color image.

text: One common application of the RGB color model is the display of colors on a

text: cathode ray tube

text: (CRT),

text: liquid crystal display

text: (LCD),

text: plasma display

text: , or

text: organic light emitting diode

text: (OLED) display such as a television, a computer’s monitor, or a large scale screen. Each

text: pixel

text: on the screen is built by driving three small and very close but still separated RGB light sources. At common viewing distance, the separate sources are indistinguishable, which tricks the eye to see a given solid color. All the pixels together arranged in the rectangular screen surface conforms the color image.

text: Compare the subtractive colors to the additive colors in the two primary color charts in the article on primary colors to see the distinction between electric colors as reproducible from light on a computer screen (additive colors) and the pigment colors reproducible with pigments (subtractive colors); the additive colors are significantly brighter because they are produced from light instead of pigment.

text: Compare the subtractive colors to the additive colors in the two primary color charts in the article on

text: primary colors

text: to see the distinction between electric colors as reproducible from light on a computer screen (additive colors) and the pigment colors reproducible with pigments (subtractive colors); the additive colors are significantly brighter because they are produced from light instead of pigment.

text: Color is the element of art that is produced when light, striking an object, is reflected back to the eye. There are three properties to color. The first is hue, which simply means the name we give to a color (red, yellow, blue, green, etc.). The second property is intensity, which refers to the vividness of the color. A color's intensity is sometimes referred to as its "colorfulness", its "saturation", its "purity" or its "strength".The third and final property of color is its value, meaning how light or dark it is.  The terms shade and tint refer to value changes in colors. In painting, shades are created by adding black to a color, while tints are created by adding white to a color.

text: Color

text: is the element of art that is produced when light, striking an object, is reflected back to the eye. There are three properties to color. The first is

text: hue

text: , which simply means the name we give to a color (red, yellow, blue, green, etc.). The second property is intensity, which refers to the vividness of the color. A color's intensity is sometimes referred to as its "

text: colorfulness

text: ", its "saturation", its "purity" or its "strength".The third and final property of color is its

text: value

text: , meaning how light or dark it is.  The terms

text: shade and tint

text: refer to value changes in colors. In painting, shades are created by adding black to a color, while tints are created by adding white to a color.

text: The Adobe RGB (1998) color space is an RGB color space developed by Adobe Systems, Inc. in 1998.  It was designed to encompass most of the colors achievable on CMYK color printers, but by using RGB primary colors on a device such as a computer display.  The Adobe RGB (1998) color space encompasses roughly 50% of the visible colors specified by the CIELAB color space – improving upon the gamut of the sRGB color space, primarily in cyan-green hues.

text: The Adobe RGB (1998) color space is an

text: RGB color space

text: developed by

text: Adobe Systems, Inc.

text: in 1998.  It was designed to encompass most of the colors achievable on

text: CMYK

text: color

text: printers

text: , but by using

text: RGB

text: primary color

text: s on a device such as a

text: computer display

text: .  The Adobe RGB (1998)

text: color space

text: encompasses roughly 50% of the

text: visible colors

text: specified by the

text: CIELAB color space

text: – improving upon the

text: gamut

text: of the

text: sRGB color space

text: , primarily in cyan-green

text: hue

text: s.

text: The receptors are each responsive to a wide range of wavelengths. For example, the long wavelength "red" receptor has its peak sensitivity in the yellow-green, some way from the red end (longest wavelength) of the visible spectrum. The sensitivity of normal color vision actually depends on the overlap between the absorption ranges of the three systems: different colors are recognized when the different types of cone are stimulated to different degrees. Red light, for example, stimulates the long wavelength cones much more than either of the others, and reducing the wavelength causes the other two cone systems to be increasingly stimulated, causing a gradual change in hue.

text: |-! rowspan="2" style="background-color: #ddf;" | Year! colspan="4" style="background-color: #dfd;" | Fossil Fuel! rowspan="2" style="background-color: #ddf;" | Nuclear! colspan="7" style="background-color: #dfd;" | Renewable! rowspan="2" style="background-color: #ddf;" | Misc! rowspan="2" style="background-color: #dfd;" | Total|-! style="background-color: #dfd;" | Coal! style="background-color: #dfd;" | Oil! style="background-color: #dfd;" | Gas! style="background-color: #dfd;" | sub

text: Before the development of synthetic pigments, and the refinement of techniques for extracting mineral pigments, batches of color were often inconsistent. With the development of a modern color industry, manufacturers and professionals have cooperated to create international standards for identifying, producing, measuring, and testing colors.

text: Color is an important characteristic of many ceramic products. Pigments with cobalt-based ceramics are generally used for colored glazes in the ceramic industries for floor or wall whitewares. Ceramic pigments are considered to be inorganic crystalline structures that develop a stable color. They have a high resistance with respect to light, environment, and high temperature chemicals. The broad horizon of their colors is quite large: green, blue, violet, yellow, black and brown. Synthetic approaches such as sol-gel technology, solution combustion method, polymeric precursor method, and so on are using cobalt-based pigments more recently.

text: Bangia is an extant genus of division Rhodophyta that grows in marine or freshwater habitats. Bangia has small thalli with rapid growth and high reproductive output, and exhibits behavior characteristic of r-selected species. The plants are attached by down-growing rhizoids, usually in dense purple-black to rust-colored clumps. The chloroplasts of Bangia, like others in the division Rhodophyta, contain chlorophyll a and sometimes chlorophyll d, as well as accessory pigments such as phycobilin pigments and xanthophylls. Depending on the relative proportions of these pigments and the light conditions, the overall color of the plant can range from green to red to purple to grey; however, the red pigment, phycoerythrin, is usually dominant.

text: Bangia is an extant genus of division

text: Rhodophyta

text: that grows in marine or

text: freshwater

text: habitats. Bangia has small thalli with rapid growth and high reproductive output, and exhibits behavior characteristic of

text: r-selected

text: species. The plants are attached by down-growing

text: rhizoid

text: s, usually in dense purple-black to rust-colored clumps. The chloroplasts of Bangia, like others in the division Rhodophyta, contain

text: chlorophyll a

text: and sometimes

text: chlorophyll d

text: , as well as accessory pigments such as

text: phycobilin

text: pigments and

text: xanthophyll

text: s. Depending on the relative proportions of these pigments and the light conditions, the overall color of the plant can range from green to red to purple to grey; however, the red pigment,

text: phycoerythrin

text: , is usually dominant.

text: When the disk is spun, arcs of pale color are visible at different places on the disk. One possible reason people see colors may be that the color receptors in the human eye respond at different rates to red, green, and blue. Or, more specifically, that the latencies of the center and the surrounding mechanisms differ for the different types of color-specific ganglion cells.

text: When the disk is spun, arcs of pale color are visible at different places on the disk. One possible reason people see colors may be that the

text: color receptors

text: in the human eye respond at different rates to red, green, and blue. Or, more specifically, that the latencies of the center and the surrounding mechanisms differ for the different types of color-specific ganglion cells.

text: Newton arrived at his conclusion by passing the red color from one prism through a second prism and found the color unchanged. From this, he concluded that the colors must already be present in the incoming light — thus, the prism did not create colors, but merely separated colors that are already there. He also used a lens and a second prism to recompose the spectrum back into white light. This experiment has become a classic example of the methodology introduced during the scientific revolution. The results of this experiment dramatically transformed the field of metaphysics, leading to John Locke's primary vs secondary quality distinction.

text: Newton arrived at his conclusion by passing the red color from one prism through a second prism and found the color unchanged. From this, he concluded that the colors must already be present in the incoming light — thus, the prism did not create colors, but merely separated colors that are already there. He also used a lens and a second prism to recompose the spectrum back into white light. This experiment has become a classic example of the methodology introduced during the

text: scientific revolution

text: . The results of this experiment dramatically transformed the field of

text: metaphysics

text: , leading to

text: John Locke

text: 's

text: primary vs secondary quality distinction

text: Chroma key compositing, or chroma keying, is a special effects / post-production technique for compositing (layering) two images or video streams together based on color hues (chroma range). The technique has been used heavily in many fields to remove a background from the subject of a photo or video – particularly the newscasting, motion picture and videogame industries. A color range in the foreground footage is made transparent, allowing separately filmed background footage or a static image to be inserted into the scene. The chroma keying technique is commonly used in video production and post-production. This technique is also referred to as color keying, colour-separation overlay (CSO; primarily by the BBC), or by various terms for specific color-related variants such as green screen, and blue screen – chroma keying can be done with backgrounds of any color that are uniform and distinct, but green and blue backgrounds are more commonly used because they differ most distinctly in hue from most human skin colors. No part of the subject being filmed or photographed may duplicate the color used as the backing.

text: Chroma key compositing, or chroma keying, is a

text: special effects

text: post-production

text: technique for

text: compositing

text: (layering) two

text: image

text: s or

text: video

text: streams together based on color hues (

text: chroma

text: range). The technique has been used heavily in many fields to remove a

text: background

text: from the subject of a photo or video – particularly the

text: news

text: casting,

text: motion picture

text: and

text: videogame

text: industries. A color range in the foreground footage is made transparent, allowing separately filmed background footage or a static image to be inserted into the scene. The chroma keying technique is commonly used in

text: video production

text: and post-production. This technique is also referred to as color keying, colour-separation overlay (CSO; primarily by the

text: BBC

text: ), or by various terms for specific color-related variants such as green screen, and blue screen – chroma keying can be done with backgrounds of any color that are uniform and distinct, but green and blue backgrounds are more commonly used because they differ most distinctly in hue from most

text: human skin color

text: s. No part of the subject being filmed or photographed may duplicate the color used as the backing.

text: Parfait The Shrine Maiden (Voiced by Yuko Miyamura): She one of the two "Shrine Maidens" who brings Lamunade into the Doki Doki space. She is rather bossy and seems to have an assertive attitude towards Lamunade, whom she calls "Lamuness", like Milk in the first series. She acts no different, but does get jealous and angry when she sees her man with another girl. She has long magenta colored hair, and magenta eyes and her color scheme is magenta colored. In the OVA, Parfait is a holy virgin in training. Beyond the third episode of the OVA, she pilots an experimental mecha naked, as the cockpit is filled with water as a shock absorber.

text: Parfait The Shrine Maiden (Voiced by

text: Yuko Miyamura

text: ): She one of the two "Shrine Maidens" who brings Lamunade into the Doki Doki space. She is rather bossy and seems to have an assertive attitude towards Lamunade, whom she calls "Lamuness", like Milk in the

text: first series

text: . She acts no different, but does get jealous and angry when she sees her man with another girl. She has long magenta colored hair, and magenta eyes and her color scheme is magenta colored. In the OVA, Parfait is a holy virgin in training. Beyond the third episode of the OVA, she pilots an experimental

text: mecha

text: naked, as the cockpit is filled with water as a shock absorber.

text: Gat employs his concept of color to convey the blazing Mediterranean sun, the earth, from the sands and the flesh of the mountains. Heat is the Israel land factor in his works. The green surfaces of his canvases resemble oases' saturated shadows in a desert of fire. "I'm a painter of Israel's heat, not necessarily of its light'" he says. Gat adopts the harmonious synthetic color approach.By intentionally admixing strong colors to create a synthesis of contrasts ("in this country both the light and the shade are hot"), he joins an Israeli impressionist landscape tradition which developed in the thirties under the influence of French painting ("painting the landscape, we have no choice but to be impressionists" Menahem Shemi said at the time). The color contrasts in Gat's paintings also have an emotional quality. The express the painter's dynamic impression of the subject. The multiple rapid strokes,while conveying the dancing light, are also lines of rhythm, conveying not so much the rhythm of the landscape as the psychological rhythm of being moved by it. The line, rather than forming a structural foundation, constitutes a driving force, the embodiment of energy and movement in the painting process. It does not serve to separate areas; on the contrary, it unifies them with its vibration.the contour lines of the objects blend like arabesques in the general weave of the brushstrokes. Gat in both a colorist and a draftsman. The translucent air of Israel renders colors in a distance as strong as those near by, hence the colors are spread over the canvas in equal intensity. Thus Gat creates a uniform surface reminiscent of abstract painting which, in addition to its identification as a landscape having a spatial depth and linear perspective, constitutes yet another level of interpretation. Like in the abstract mode, Gat institutes a complex reworking of the canvas surface: opaque alongside transparent, dry with glowing, translucent and turbid, rough and smooth – all these qualities are distributed evenly over the canvas without a particular faithfulness to the depicted landscape.At the same time, Gat is not an advocate of the intellectual structuring of a composition.  Everything flows in this paintings and, like in a free sketch, he preserves the heat of the pictorial process.

text: Black is the color of objects that do not emit or reflect light in any part of the visible spectrum; they absorb all such frequencies of light. Black is the darkest possible color.

text: Black is the color of objects that do not emit or

text: reflect

text: light

text: in any part of the

text: visible spectrum

text: ; they absorb all such frequencies of light. Black is the darkest possible color.

text: calls for color matching functions that are negative at certain wavelengths. This is evidence of why the

text: During the Roman Empire, the term minium could refer either to the pigment made from ground cinnabar or to the less expensive red lead. The name came from the river Minius in Iberia (now forming part of the Spanish-Portuguese border and known as Miño or Minho), located near the main Roman cinnabar mines. Pliny the Elder referred to it as flammeus, or flame color.  The minium of red lead was easy to make and less expensive than the pigment made from the mineral cinnabar, and it was bright and cheerful, so it became the most commonly used bright red in Medieval painting until the introduction of vermilion.

text: During the

text: Roman Empire

text: , the term minium could refer either to the pigment made from ground

text: cinnabar

text: or to the less expensive red lead. The name came from the river

text: Minius

text: in

text: Iberia

text: (now forming part of the Spanish-Portuguese border and known as Miño or Minho), located near the main Roman cinnabar mines.

text: Pliny the Elder

text: referred to it as flammeus, or flame color.  The minium of red lead was easy to make and less expensive than the pigment made from the mineral

text: cinnabar

text: , and it was bright and cheerful, so it became the most commonly used bright red in Medieval painting until the introduction of

text: vermilion

text: In theatre lighting, a bastard color is a color, typically in a color gel, wherein the predominant color is blended with small amounts of complementary colors; for example, a "bastard orange" gel would produce predominantly orange light with undertones of blue. Bastard colors appear warmer and more natural than pure colors and are used to replicate natural light.

text: In

text: theatre lighting

text: , a bastard color is a color, typically in a

text: color gel

text: , wherein the predominant color is blended with small amounts of complementary colors; for example, a "bastard orange" gel would produce predominantly

text: orange

text: light with undertones of

text: blue

text: . Bastard colors appear warmer and more natural than pure colors and are used to replicate

text: natural light

text: The hue of human skin and hair is determined by the presence of pigments called melanins. Human skin color can range from darkest brown to lightest peach, or even nearly white or colorless in cases of albinism. Human hair ranges in color from white to red to blond to brown to black, which is most frequent. Hair color depends on the amount of melanin (an effective sun blocking pigment) in the skin and hair, with hair melanin concentrations in hair fading with increased age, leading to grey or even white hair. Most researchers believe that skin darkening is an adaptation that evolved as protection against ultraviolet solar radiation, which also helps balancing folate, which is destroyed by ultraviolet radiation. Light skin pigmentation protects against depletion of vitamin D, which requires sunlight to make. Skin pigmentation of contemporary humans is clinally distributed across the planet, and in general correlates with the level of ultraviolet radiation in a particular geographic area. Human skin also has a capacity to darken (tan) in response to exposure to ultraviolet radiation.

text: The hue of human skin and hair is determined by the presence of

text: pigment

text: s called

text: melanin

text: s. Human skin color can range from

text: darkest brown

text: to

text: lightest peach

text: , or even nearly white or colorless in cases of

text: albinism

text: . Human hair ranges in color from

text: white

text: to

text: red

text: to

text: blond

text: to

text: brown

text: to

text: black

text: , which is most frequent. Hair color depends on the amount of melanin (an effective sun blocking pigment) in the

text: skin

text: and hair, with hair melanin concentrations in hair fading with increased age, leading to

text: grey

text: or even white hair. Most researchers believe that skin darkening is an adaptation that evolved as protection against ultraviolet solar radiation, which also helps balancing

text: folate

text: , which is destroyed by

text: ultraviolet radiation

text: . Light skin pigmentation protects against depletion of

text: vitamin D

text: , which requires

text: sunlight

text: to make. Skin pigmentation of contemporary humans is clinally distributed across the planet, and in general correlates with the level of ultraviolet radiation in a particular geographic area. Human skin also has a capacity to darken (tan) in response to exposure to ultraviolet radiation.

text: Visible light, a small portion of the electromagnetic spectrum, encompasses wavelengths between 380-750 nanometers, which humans perceive as the colors of the spectrum: red, orange, yellow, green, blue, indigo, and violet. Light behaves according to a well-defined set of rules: it travels in straight lines, unless otherwise refracted or reflected by another object, or curved by gravity.

text: Visible

text: light

text: , a small portion of the electromagnetic spectrum, encompasses wavelengths between 380-750 nanometers, which humans perceive as the colors of the spectrum: red, orange, yellow, green, blue, indigo, and violet. Light behaves according to a well-defined set of rules: it travels in straight lines, unless otherwise refracted or reflected by another object, or curved by gravity.

text: In an anaglyph, the two images are superimposed in an additive light setting through two filters, one red and one cyan.  In a subtractive light setting, the two images are printed in the same complementary colors on white paper.  Glasses with colored filters in each eye separate the appropriate images by canceling the filter color out and rendering the complementary color black. A compensating technique, commonly known as Anachrome, uses a slightly more transparent cyan filter in the patented glasses associated with the technique. Process reconfigures the typical anaglyph image to have less parallax.

text: In an anaglyph, the two images are

text: superimposed

text: in an

text: additive light

text: setting through two filters, one red and one cyan.  In a

text: subtractive light

text: setting, the two images are printed in the same

text: complementary color

text: s on white paper.  Glasses with colored filters in each eye separate the appropriate images by canceling the filter color out and rendering the complementary color black. A compensating technique, commonly known as Anachrome, uses a slightly more transparent cyan filter in the patented glasses associated with the technique. Process reconfigures the typical anaglyph image to have less

text: parallax

text: Color centers are largely responsible for the appearance of specific wavelengths of visible light all around us. Moving from longer (0.7 micrometer) to shorter (0.4 micrometer) wavelengths: red, orange, yellow, green and blue (ROYGB) can all be identified by our senses in the appearance of color by the selective absorption of specific light wave frequencies (or wavelengths). Mechanisms of selective light wave absorption include:

text: According to game designer Daniel Berlin, the team picked World War I as the game's setting as they believed that the weapons and gadgets featured in that period of time suit players with different playstyles. The game was named Battlefield 1, since the team considered World War I "the dawn of all-out warfare". Melee weapons were reworked so as to introduce more depth to the system. According to creative director Lars Gustavsson, the setting was a concept for a very long time, and it had been the "dream" for the team to create a game based on that period. According to Berlin, gameplay was the most important aspect when they were developing the game, and he promised that it would not be slowed down due to the game's historical setting. The story of the game is told through multiple protagonists, and explores the stories of unknown war heroes. Patrick Söderlund, an executive of Electronic Arts, originally rejected the idea of having a World War One shooter as he thought that it would not be fun to play. He later accepted the pitch after being convinced by a demo created by DICE. Aleksander Grøndal, Senior Producer at DICE, prepared his own research into the war by looking at visual references. He favored colored images of the war in an attempt to visualize what the soldiers lived through. “I wanted to see the pictures and I wanted to imagine how they’d look with a mobile lens,” Grøndal expressed when interviewed. “I wanted to start off with all the footage and imagine that footage in our game with a modern take.” He specifically favored Apocalypse: World War I, a 2014 colorized French documentary, and World War I in Colour by Charles Messenger, a 2004 book of colorized war time photographs. Grøndal favored colored material as he felt, "It's quite interesting and it sucks you in because it feels much closer when you see everything in color." Despite his personal penchant for colored visuals, his self ascribed "big inspiration" was Blueprint for Armageddon, a six-part audio documentary by Dan Carlin for the latter's Hardcore History podcast series.

text: According to game designer Daniel Berlin, the team picked World War I as the game's setting as they believed that the weapons and gadgets featured in that period of time suit players with different playstyles. The game was named Battlefield 1, since the team considered

text: World War I

text: "the dawn of all-out warfare". Melee weapons were reworked so as to introduce more depth to the system. According to creative director Lars Gustavsson, the setting was a concept for a very long time, and it had been the "dream" for the team to create a game based on that period. According to Berlin, gameplay was the most important aspect when they were developing the game, and he promised that it would not be slowed down due to the game's historical setting. The story of the game is told through multiple protagonists, and explores the stories of unknown war heroes. Patrick Söderlund, an executive of Electronic Arts, originally rejected the idea of having a World War One shooter as he thought that it would not be fun to play. He later accepted the pitch after being convinced by a demo created by DICE. Aleksander Grøndal, Senior Producer at DICE, prepared his own research into the war by looking at visual references. He favored

text: colored images

text: of the war in an attempt to visualize what the soldiers lived through. “I wanted to see the pictures and I wanted to imagine how they’d look with a mobile lens,” Grøndal expressed when interviewed. “I wanted to start off with all the footage and imagine that footage in our game with a modern take.” He specifically favored Apocalypse: World War I, a 2014 colorized French documentary, and World War I in Colour by Charles Messenger, a 2004 book of colorized war time photographs. Grøndal favored colored material as he felt, "It's quite interesting and it sucks you in because it feels much closer when you see everything in color." Despite his personal penchant for colored visuals, his self ascribed "big inspiration" was Blueprint for Armageddon, a six-part audio documentary by

text: Dan Carlin

text: for the latter's Hardcore History podcast series.

text: |- style="background-color:#bbffbb"| 1 || April 3 || @ Reds || 16–7 || Ohman (1–0) || Harang (0–1)|| || 42,591 || 1–0|- style="background-color:#ffbbbb"| 2 || April 5 || @ Reds || 8–6 || Arroyo (1–0) || Rusch (0–1)|| Weathers (1) || 27,287 || 1–1|- style="background-color:#bbffbb"| 3 || April 7 || Cardinals || 5–1 || Maddux (1–0) ||  Suppan (0–1) || || 40,869 || 2–1|- style="background-color:#bbffbb"| 4 || April 8 || Cardinals || 3–2 || Howry (1–0) || Thompson (1–1) || Dempster (1)|| 40,182 || 3–1|- style="background-color:#bbffbb"| 5 || April 9 || Cardinals || 8–4 || Williamson (1–0) || Isringhausen (0–1)|| || 39,839 || 4–1|- style="background-color:#ffbbbb"| 6 || April 11 || Reds || 9–2 || Arroyo (2–0) || Rusch (0–2) || || 36,708 || 4–2|- style="background-color:#bbffbb"| 7 || April 12 || Reds || 4–1 || Maddux (2–0) || Claussen (0–1) || Dempster (2) || 37,252 || 5–2|- style="background-color:#ffbbbb"| 8 || April 13 || Reds || 8–3 || Milton (2–0) || Zambrano (0–1) || || 40,881 || 5–3|- style="background-color:#bbffbb"| 9 || April 14 || @ Pirates || 8–6 || Marshall (1–0) || Santos (1–2) || || 20,233 || 6–3|- style="background-color:#ffbbbb"| 10 || April 15 || @ Pirates || 2–1 || Duke (1–1) || Williams (0–1) || Gonzalez (2) || 34,264 || 6–4|- style="background-color:#bbffbb"| 11 || April 16 || @ Pirates || 7–3 || Rusch (1–2) || Snell (0–1) || || 15,020 || 7–4|- style="background-color:#bbffbb"| 12 || April 17 || @ Dodgers || 4–1 || Maddux (3–0) || Tomko (1–1) || Dempster (3) || 33,511 || 8–4|- style="background-color:#ffbbbb"| 13 || April 18 || @ Dodgers || 2–1 || Saito (1–0) || Ohman (1–1) || || 37,342 || 8–5|- style="background-color:#bbffbb"| 14 || April 19 || @ Dodgers || 5–4 || Williamson (2–0) || Báez (0–1) || Dempster (4) || 41,288 || 9–5|- style="background-color:#ffbbbb"| 15 || April 21 || @ Cardinals || 9–3 || Mulder (2–0) || Williams (0–2) || || 41,379 || 9–6|- style="background-color:#ffbbbb"| 16 || April 22 || @ Cardinals || 4–1 || Ponson (2–0) || Rusch (1–3) || Isringhausen (5) || 41,424 || 9–7|- style="background-color:#bbffbb"| 17 || April 23 || @ Cardinals || 7–3 || Maddux (4–0) || Marquis (3–1) || || 41,373 || 10–7|- style="background-color:#bbffbb"| 18 || April 24 || Marlins || 6–3 || Aardsma (1–0) || Johnson (1–2) || Dempster (5) || 36,865 || 11–7|- style="background-color:#bbffbb"| 19 || April 25 || Marlins || 3–1 || Marshall (2–0) || Willis (1–1) || Dempster (6) || 38,680 || 12–7|- style="background-color:#ffbbbb"| 20 || April 26 || Marlins || 7–5 || Nolasco (1–0) ||   Williamson (2–1) || Borowski (3) || 39,611 || 12–8|- style="background-color:#bbffbb"| 21 || April 28 || Brewers || 6–2 || Maddux (5–0) || Bush (2–2) || || 39,522 || 13–8|- style="background-color:#ffbbbb"| 22 || April 29 || Brewers || 16–2 || Davis (1–2) || Rusch (1–4) || || 40,644 || 13–9|- style="background-color:#ffbbbb"| 23 || April 30 || Brewers || 9–0 || Capuano (4–2) ||  Zambrano (0–2) || || 39,229 || 13–10|- style="background-color:#bbffbb"| 24 || May 1 || Pirates || 2–1 || Howry (2–0) || Grabow (0–1)|| Dempster (7) || 36,602 || 14–10|- style="background-color:#ffbbbb"| 25 || May 2 || Pirates || 8–0 || Duke (2–2) || Guzmán (0–1) || || 39,110 || 14–11|- style="background-color:#ffbbbb"| 26 || May 3 || @ Diamondbacks || 5–1 || Batista (3–1) || Maddux (5–1)  || Valverde (8) || 25,335 || 14–12|- style="background-color:#ffbbbb"| 27 || May 4 || @ Diamondbacks || 6–0 || Cruz (1–0) || Hill (0–1) || || 24,565 || 14–13|- style="background-color:#ffbbbb"| 28 || May 5 || @ Padres || 1–0 || Cassidy (2–0) || Williamson (2–2) || || 37,123 || 14–14|- style="background-color:#ffbbbb"| 29 || May 6 || @ Padres || 2–1 || Cassidy (3–0) || Howry (2–1) || || 37,745 || 14–15|- style="background-color:#ffbbbb"| 30 || May 7 || @ Padres || 6–3 || Williams (3–1) ||  Guzmán (0–2) || Sweeney (1) || 39,847 || 14–16|- style="background-color:#ffbbbb"| 31 || May 8 || @ Padres || 8–3 || Young (3–2) || Maddux (5–2) || || 24,139 || 14–17|- style="background-color:#ffbbbb"| 32 || May 9 || @ Giants || 6–1 || Schmidt (3–2) || Hill (0–2) || || 39,357 || 14–18|- style="background-color:#bbffbb"| 33 || May 10 || @ Giants || 8–1 || Zambrano (1–2) || Cain (1–5) || || 39,655 || 15–18|- style="background-color:#ffbbbb"| 34 || May 11 || @ Giants || 9–3 || Wright (3–3) || Marshall (2–1) || || 38,132 || 15–19|- style="background-color:#ffbbbb"| 35 || May 12 || Padres || 10–5 || Sweeney (2–0) || Rusch (1–5)  || || 39,245 || 15–20|- style="background-color:#ffbbbb"| 36 || May 13 || Padres || 4–3 || Meredith (1–0) || Dempster (0–1) || Hoffman (7) || 40,095 || 15–21|- style="background-color:#ffbbbb"| 37 || May 14 || Padres || 9–0 || Hensley (2–2) || Hill (0–3) || || 39,570 || 15–22|- style="background-color:#bbffbb"| 38 || May 16 || Nationals || 4–0 || Zambrano (2–2) || Hernández (1–5) || || 39,298 || 16–22|- style="background-color:#bbffbb"| 39 || May 17 || Nationals || 5–0 || Marshall (3–1) || Day (2–4) || || 39,757 || 17–22|- style="background-color:#ffbbbb"| 40 || May 18 || Nationals || 5–3 || Ortiz (1–4) ||  Wood (0–1) || Cordero (4) || 40,517 || 17–23|- style="background-color:#ffbbbb"| 41 || May 19 || @ White Sox || 6–1 || Buehrle (5–2) || Maddux (5–3) || || 39,301 || 17–24|- style="background-color:#ffbbbb"| 42 || May 20 || @ White Sox || 7–0 || García (7–1) || Hill (0–4) || || 39,387 || 17–25|- style="background-color:#bbffbb"| 43 || May 21 || @ White Sox || 7–4 || Zambrano (3–2) || Cotts (0–2) || Dempster (8) || 38,645 || 18–25|- style="background-color:#ffbbbb"| 44 || May 22 || @ Marlins || 9–1 || Nolasco (3–1) || Marshall (3–2) || || 9,462 || 18–26|- style="background-color:#ffbbbb"| 45 || May 23 || @ Marlins || 5–4 || Kensing (1–1) || Dempster (0–2) || || 10,979 || 18–27|- style="background-color:#ffbbbb"| 46 || May 24 || @ Marlins || 9–3 || Moehler (2–4) || Maddux (5–4) || || 7,720 || 18–28|- style="background-color:#ffbbbb"| 47 || May 26 || Braves || 6–5 || Remlinger (2–2) || Dempster (0–3) || Ray (1) || 40,865 || 18–29|- style="background-color:#ffbbbb"| 48 || May 27 || Braves || 2–1 || Ramírez (1–0) || Marshall (3–3) || Remlinger (2) || 41,526 || 18–30|- style="background-color:#ffbbbb"| 49 || May 28 || Braves || 13–12 || Villarreal (7–0) || Eyre (0–1) || Ray (2) || 41,698 || 18–31|- style="background-color:#bbffbb"| 50 || May 29 || Reds || 7–3 || Wood (1–1) || Ramirez (2–4) || Dempster (9) || 40,072 || 19–31|- style="background-color:#bbffbb"| 51 || May 30 || Reds || 8–3 || Maddux (6–4) || Claussen (3–6) || || 39,000 || 20–31|- style="background-color:#ffbbbb"| 52 || May 31 || Reds || 3–2 || Milton (3–2) || Zambrano (3–3) || Coffey (2) || 39,810 || 20–32|- style="background-color:#bbffbb"| 53 || June 2 || @ Cardinals || 5–4 || Dempster (1–3) || Hancock (1–2) || || 45,799 || 21–32|- style="background-color:#bbffbb"| 54 || June 3 || @ Cardinals || 8–5 || Rusch (2–5) || Mulder (5–4) || Howry (1) || 45,820 || 22–32|- style="background-color:#ffbbbb"| 55 || June 4 || @ Cardinals || 9–6 || Marquis (8–4) || Maddux (6–5) || Isringhausen (18) || 45,753 || 22–33|- style="background-color:#bbffbb"| 56 || June 5 || @ Astros || 8–0 || Zambrano (4–3) || Buchholz (3–5) || || 32,814 || 23–33|- style="background-color:#ffbbbb"| 57 || June 6 || @ Astros || 4–1 || Rodríguez (7–3) || Wood (1–2) || || 35,903 || 23–34|- style="background-color:#ffbbbb"| 58 || June 7 || @ Astros || 1–0 || Sampson (1–0) || Marshall (3–4) || Lidge (15) || 42,492 || 23–35|- style="background-color:#ffbbbb"| 59 || June 8 || @ Reds || 7–1 || Arroyo (8–2) || Rusch (2–6) || || 26,059 || 23–36|- style="background-color:#bbffbb"| 60 || June 9 || @ Reds || 6–5 || Maddux (7–5) || Ramirez (2–5) || Dempster (10) || 41,064 || 24–36|- style="background-color:#bbffbb"| 61 || June 10 || @ Reds || 4–2 || Zambrano (5–3) || Claussen (3–7) || Dempster (11) || 34,141 || 25–36|- style="background-color:#bbffbb"| 62 || June 11 || @ Reds || 9–3 || Mármol (1–0) || Milton (4–3) || || 27,250 || 26–36|- style="background-color:#ffbbbb"| 63 || June 13 || Astros || 9–2 || Pettitte (6–7) || Marshall (3–5) || || 40,563 || 26–37|- style="background-color:#ffbbbb"| 64 || June 14 || Astros || 5–4 || Oswalt (6–3)|| Maddux (7–6) || Lidge (17) || 39,946 || 26–38|- style="background-color:#ffbbbb"| 65 || June 15 || Astros || 3–2 || Borkowski (1–0) || Howry (2–2) || Lidge (18) || 40,236 || 26–39|- style="background-color:#ffbbbb"| 66 || June 16 || Tigers || 5–3 || Robertson (7–3) || Rusch (2–7) || Jones (18) || 40,683 ||26–40|- style="background-color:#ffbbbb"| 67 || June 17 || Tigers || 9–3 || Verlander (8–4) || Mármol (1–1) || || 41,459 || 26–41|- style="background-color:#ffbbbb"| 68 || June 18 || Tigers || 12–3 || Rogers (10–3) || Prior (0–1) || || 39,938 || 26–42|- style="background-color:#bbffbb"| 69 || June 19 || @ Indians || 12–8 || Marshall (4–5) || Johnson (3–8) || || 26,769 || 27–42|- style="background-color:#ffbbbb"| 70 || June 20 || @ Indians || 4–2 || Lee (6–5) || Maddux (7–7) || Wickman (10) || 25,049 || 27–43|- style="background-color:#bbffbb"| 71 || June 21 || @ Indians || 9–2 || Zambrano (6–3) || Sabathia (5–4) || || 27,182 || 28–43|- style="background-color:#ffbbbb"| 72 || June 23 || @ Twins || 7–2 || Santana (8–4)|| Mármol (1–2) || || 34,361 || 28–44|- style="background-color:#ffbbbb"| 73 || June 24 || @ Twins || 3–0 || Bonser (2–1) || Prior (0–2) || Nathan (12) || 42,304 || 28–45|- style="background-color:#ffbbbb"| 74 || June 25 || @ Twins || 8–1 || Radke (6–7) || Marshall (4–6) || || 35,128 || 28–46|- style="background-color:#ffbbbb"| 75 || June 26 || Brewers || 6–0 || Capuano (9–4) || Maddux (7–8) || || 39,698 || 28–47|- style="background-color:#ffbbbb"| 76 || June 27 || Brewers || 8–5 || Shouse (1–0) || Dempster (1–4) || Turnbow (22) || 39,399 || 28–48|- style="background-color:#bbffbb"| 77 || June 28 || Brewers || 6–3 || Howry (3–2) || Kolb (2–2) || Dempster (12) || 39,321 || 29–48|- style="background-color:#ffbbbb"| 78 || June 29 || Brewers || 5–4 || González (1–0) || Prior (0–3) || Turnbow (23) || 39,144 || 29–49|- style="background-color:#ffbbbb"| 79 || June 30 || White Sox || 6–2 || Garland (7–3) || Marshall (4–7) || || 40,720 || 29–50|- style="background-color:#ffbbbb"| 80 || July 1 || White Sox || 8–6 || Cotts (1–2) || Dempster (1–5) || Jenks (25) || 41,027 || 29–51|- style="background-color:#bbffbb"| 81 || July 2 || White Sox || 15–11 || Zambrano (7–3) || Buehrle (9–5) || Howry (2) || 40,919 || 30–51|- style="background-color:#ffbbbb"| 82 || July 3 || @ Astros || 7–2 || Clemens (1–2) || Mármol (1–3) || || 41,655 || 30–52|- style="background-color:#ffbbbb"| 83 || July 4 || @ Astros || 7–2 || Pettitte (7–9) || Prior (0–4) || || 41,502 || 30–53|- style="background-color:#bbffbb"| 84 || July 5 || @ Astros || 1–0 || Marshall (5–7) || Oswalt (6–5) || Dempster (13) || 31,952 || 31–53|- style="background-color:#ffbbbb"| 85 || July 6 || @ Brewers || 2–0 || Capuano (10–4) || Maddux (7–9) || || 37,326 || 31–54|- style="background-color:#bbffbb"| 86 || July 7 || @ Brewers || 7–2 || Zambrano (8–3) || Jackson (1–2) || || 41,172 || 32–54|- style="background-color:#bbffbb"| 87 || July 8 || @ Brewers || 3–1 || Mármol (2–3) || Bush (5–7) || Dempster (14) || 42,268 || 33–54|- style="background-color:#bbffbb"| 88 || July 9 || @ Brewers || 11–4 || Rusch (3–7) || Davis (5–6) || || 41,528 || 34–54|- style="background-color:#ffbbbb"| 89 || July 14 || Mets || 6–3 || Trachsel (9–4) || Maddux (7–10) || || 40,782 || 34–55|- style="background-color:#bbffbb"| 90 || July 15 || Mets || 9–2 || Zambrano (9–3) || Glavine (11–3) || || 41,368 || 35–55|- style="background-color:#ffbbbb"| 91 || July 16 || Mets || 13–7 || Feliciano (3–2) || Marshall (5–8) || || 40,157 || 35–56|- style="background-color:#bbffbb"| 92 || July 18 || Astros || 4–2 || Mármol (3–3) || Oswalt (6–7) || Dempster (15) || 39,883 || 36–56|- style="background-color:#ffbbbb"| 93 || July 19 || Astros || 4–2 || Clemens (2–3) || Maddux (7–11) || Lidge (22) || 40,344 || 36–57|- style="background-color:#bbffbb"| 94 || July 20 || Astros || 4–1 || Zambrano (10–3) || Pettitte (8–10) || Dempster (16) || 40,208 || 37–57|- style="background-color:#ffbbbb"| 95 || July 21 || @ Nationals || 7–6 || Rauch (3–1) || Howry (3–3) || Cordero (15) || 35,442 || 37–58|- style="background-color:#ffbbbb"| 96 || July 22 || @ Nationals || 7–3 || Hernández (7–8) || Williamson (2–3) || || 38,021 || 37–59|- style="background-color:#ffbbbb"| 97 || July 23 || @ Nationals || 7–1 || Armas (7–5) || Mármol (3–4) || || 30,851 || 37–60|- style="background-color:#bbffbb"| 98 || July 24 || @ Mets || 8–7 || Maddux (8–11) || Trachsel (9–5) || Dempster (17) || 45,631 || 38–60|- style="background-color:#bbffbb"| 99 || July 25 || @ Mets || 8–6 || Zambrano (11–3) || Glavine (11–4) || Howry (3) || 47,686 || 39–60|- style="background-color:#ffbbbb"| 100 || July 26 || @ Mets || 1–0 || Heilman (1–3) || Rusch (3–8) || || 40,299 || 39–61|- style="background-color:#bbffbb"| 101 || July 27 || Cardinals || 5–4 || Novoa (1–0) || Johnson (0–2) || Dempster (18) || 40,346 || 40–61|- style="background-color:#bbffbb"| 102 || July 28 || Cardinals || 6–5 || Mármol (4–4) || Marquis (12–8) || Dempster (19) || 40,420 || 41–61|- style="background-color:#bbffbb"| 103 || July 29 || Cardinals || 4–2 || Maddux (9–11) || Reyes (2–5) || Dempster (20) || 41,302 || 42–61|- style="background-color:#bbffbb"| 104 || July 30 || Cardinals || 6–3 || Zambrano (12–3) || Carpenter (10–5) || || 40,033 || 43–61|- style="background-color:#ffbbbb"| 105 || July 31 || Diamondbacks || 15–4 || Webb (12–4) || Prior (0–5) || || 39,226 || 43–62|- style="background-color:#bbffbb"| 106 || August 1 || Diamondbacks || 9–3 || Hill (1–4) || Vargas (8–8) || || 38,970 || 44–62|- style="background-color:#bbbbbb"| --- || August 2 || Diamondbacks || colspan=5|Postponed (rain) Rescheduled for August 3 || 44–62|- style="background-color:#ffbbbb"| 107 || August 3 || Diamondbacks || 10–2 || Cruz (4–6) || Mármol (4–5) || || || 44–63|- style="background-color:#bbffbb"| 108 || August 3 || Diamondbacks || 7–3 || Mateo (1–0) || González (3–3) || || 40,715 || 45–63|- style="background-color:#ffbbbb"| 109 || August 4 || Pirates || 6–0 || Gorzelanny (2–2) || Zambrano (12–4) || || 39,973 || 45–64|- style="background-color:#bbffbb"| 110 || August 5 || Pirates || 7–5 || Prior (1–5) || Duke (7–10) || Dempster (21) || 41,007 || 46–64|- style="background-color:#bbffbb"| 111 || August 6 || Pirates || 6–1 || Hill (2–4) || Snell (9–8) || || 40,320 || 47–64|- style="background-color:#bbffbb"| 112 || August 8 || @ Brewers || 6–3 || Mármol (5–5) || Ohka (3–3) || Dempster (22) || 36,200 || 48–64|- style="background-color:#ffbbbb"| 113 || August 9 || @ Brewers || 6–3 || Bush (8–8) || Zambrano (12–5) || Cordero (4) || 36,012 || 48–65|- style="background-color:#ffbbbb"| 114 || August 10 || @ Brewers || 8–6 || Davis (8–6) || Prior (1–6) || Cordero (5) || 41,686 || 48–66|- style="background-color:#ffbbbb"| 115 || August 11 || @ Rockies || 10–2 || Cook (8–10) || Hill (2–5) || || 35,744 || 48–67|- style="background-color:#ffbbbb"| 116 || August 12 || @ Rockies || 8–4 || Fogg (8–7) || Guzmán (0–3) || || 43,485 || 48–68|- style="background-color:#bbffbb"| 117 || August 13 || @ Rockies || 8–7 || Novoa (2–0) || Corpas (0–1) || Dempster (23) || 35,408 || 49–68|- style="background-color:#bbffbb"| 118 || August 14 || @ Astros || 3–0 || Zambrano (13–5) || Oswalt (9–8) || Dempster (24) || 37,260 || 50–68|- style="background-color:#bbffbb"| 119 || August 15 || @ Astros || 8–6 || Hill (3–5) || Borkowski (1–1) || || 41,531 || 51–68|- style="background-color:#bbffbb"| 120 || August 16 || @ Astros || 1–0 || O'Malley (1–0) || Pettitte (11–13) || Howry (4) || 38,989 || 52–68|- style="background-color:#ffbbbb"| 121 || August 18 || Cardinals || 11–3 || Marquis (13–11) || Mármol (5–6) || || 40,346 || 52–69|- style="background-color:#bbffbb"| 122 || August 19 || Cardinals || 5–4 || Wuertz (1–0)|| Isringhausen (4–6) || || 40,864 || 53–69|- style="background-color:#ffbbbb"| 123 || August 20 || Cardinals || 5–3 || Carpenter (12–6) || Mateo (1–1) || Isringhausen (30) || 40,485 || 53–70|- style="background-color:#ffbbbb"| 124 || August 21 || Phillies || 6–5 || Lieber (6–9) || Hill (3–6) || Rhodes (3) || 38,950 || 53–71|- style="background-color:#ffbbbb"| 125 || August 22 || Phillies || 6–3 || Moyer (1–0) || O'Malley (1–1) || Madson (1) || 38,770 || 53–72|- style="background-color:#ffbbbb"| 126 || August 23 || Phillies || 2–1 || Myers (9–6) || Howry (3–4) || Geary (1) || 39,470 || 53–73|- style="background-color:#bbffbb"| 127 || August 24 || Phillies || 11–2 || Zambrano (14–5) || Hamels (6–7) || || 39,464 || 54–73|- style="background-color:#ffbbbb"| 128 || August 25 || @ Cardinals || 2–0 || Suppan (10–7) || Mateo (1–2) || Isringhausen (31) || 46,004 || 54–74|- style="background-color:#ffbbbb"| 129 || August 26 || @ Cardinals || 2–1 || Flores (1–1) || Novoa (2–1) || || 46,036 || 54–75|- style="background-color:#ffbbbb"| 130 || August 27 || @ Cardinals || 10–6 || Looper (7–1) || Howry (3–5) || || 44,937 || 54–76|- style="background-color:#ffbbbb"| 131 || August 28 || @ Pirates || 11–6 || Snell (12–8) || Guzmán (0–4) || || 12,666 || 54–77|- style="background-color:#ffbbbb"| 132 || August 29 || @ Pirates || 7–6 || Capps (5–1) || Dempster (1–6) || || 14,618 || 54–78|- style="background-color:#ffbbbb"| 133 || August 30 || @ Pirates || 10–9 || McLeary (1–0) || Dempster (1–7) || || 12,730 || 54–79|- style="background-color:#bbffbb"| 134 || September 1 || Giants || 6–2 || Hill (4–6) || Lowry (7–8) || || 38,582 || 55–79|- style="background-color:#ffbbbb"| 135 || September 2 || Giants || 4–2 || Cain (11–9) || Marshall (5–9) || Stanton (4) || 40,135 || 55–80|- style="background-color:#ffbbbb"| 136 || September 3 || Giants || 7–4 || Schmidt (11–8) || Wuertz (1–1) || Stanton (5) || 40,702 || 55–81|- style="background-color:#ffbbbb"| 137 || September 4 || Pirates || 5–4 || Maholm (7–10) || Zambrano (14–6) || Torres (2) || 37,994 || 55–82|- style="background-color:#ffbbbb"| 138 || September 5 || Pirates || 6–5 || Grabow (4–1) || Dempster (1–8) || Torres (3) || 31,494 || 55–83|- style="background-color:#bbffbb"| 139 || September 6 || Pirates || 7–2 || Wuertz (2–1) || Grabow (4–2) || || 32,557 || 56–83|- style="background-color:#ffbbbb"| 140 || September 7 || Pirates || 7–5 || Bayliss (1–0) || Eyre (0–2) || Torres (4) || 27,105 || 56–84|- style="background-color:#ffbbbb"| 141 || September 8 || @ Braves || 8–4 || Hudson (12–10) || Guzmán (0–5) || || 30,977 || 56–85|- style="background-color:#ffbbbb"| 142 || September 9 || @ Braves || 7–3 || James (9–3) || Miller (0–1) || || 40,584 || 56–86|- style="background-color:#ffbbbb"| 143 || September 10 || @ Braves || 2–1 || Cormier (3–4) || Mateo (1–3) || Wickman (13) || 28,212 || 56–87|- style="background-color:#bbffbb"| 144 || September 11 || @ Braves || 8–3 || Hill (5–6) || Smoltz (12–9) || || 19,444 || 57–87|- style="background-color:#bbffbb"| 145 || September 12 || Dodgers || 9–8 || Aardsma (2–0) || Hamulack (0–3) || || 35,618 || 58–87|- style="background-color:#ffbbbb"| 146 || September 13 || Dodgers || 6–0 || Penny (16–8) || Guzmán (0–6) || || 35,868 || 58–88|- style="background-color:#bbffbb"| 147 || September 14 || Dodgers || 6–5 || Eyre (1–2) || Tomko (8–7) || Howry (5) || 31,361 || 59–88|- style="background-color:#ffbbbb"| 148 || September 15 || Reds || 4–0 || Arroyo (14–9) || Mármol (5–7) || || 37,188 || 59–89|- style="background-color:#bbffbb"| 149 || September 16 || Reds || 4–0 || Hill (6–6) || Michalak (1–3) || || 40,526 || 60–89|- style="background-color:#bbffbb"| 150 || September 17 || Reds || 11–3 || Zambrano (15–6) || Milton (8–8) || || 39,164 || 61–89|- style="background-color:#bbffbb"| 151 || September 18 || @ Phillies || 11–6 || Wuertz (3–1) || Lieber (8–10) || || 31,101 || 62–89|- style="background-color:#ffbbbb"| 152 || September 19 || @ Phillies || 4–1 || Moyer (3–2) || Miller (0–2) || Gordon (32) || 31,892 || 62–90|- style="background-color:#ffbbbb"| 153 || September 20 || @ Phillies || 6–2 || Myers (12–6) || Walrond (0–1) || || 35,269 || 62–91|- style="background-color:#ffbbbb"| 154 || September 22 || @ Reds || 4–2 || Michalak (2–3) || Hill (6–7) || Coffey (8) || 21,332 || 62–92|- style="background-color:#bbffbb"| 155 || September 23 || @ Reds || 11–4 || Zambrano (16–6) || Lohse (2–5) || || 28,264 || 63–92|- style="background-color:#ffbbbb"| 156 || September 24 || @ Reds || 3–2 || Harang (15–11) || Dempster (1–9) || || 22,226 || 63–93|- style="background-color:#ffbbbb"| 157 || September 25 || @ Reds || 5–4 || Schoeneweis (2–0) || Eyre (1–3) || Weathers (12) || 16,278 || 63–94|- style="background-color:#bbffbb"| 158 || September 26 || Brewers || 14–6 || Marshall (6–9) || Villanueva (1–2) || || 31,932 || 64–94|- style="background-color:#bbffbb"| 159 || September 27 || Brewers || 3–2 || Howry (4–5) || Cordero (3–1) || || 36,273 || 65–94|- style="background-color:#ffbbbb"| 160 || September 29 || Rockies || 5–2 || Fogg (11–9) || Zambrano (16–7) || Fuentes (30) || 33,721 || 65–95|- style="background-color:#ffbbbb"| 161 || September 30 || Rockies || 11–9 || Ramírez (4–3) || Ryu (0–1) || || 39,483 || 65–96|- style="background-color:#bbffbb"| 162 || October 1 || Rockies || 8–5 || Aardsma (3–0) || Affeldt (4–2) || || 39,609 || 66–96

text: |- style="background-color:#bbffbb"| 1 || April 3 || @

text: Reds

text: || 16–7 ||

text: Ohman

text: (1–0) ||

text: Harang

text: (0–1)|| || 42,591 || 1–0|- style="background-color:#ffbbbb"| 2 || April 5 || @

text: Reds

text: || 8–6 ||

text: Arroyo

text: (1–0) ||

text: Rusch

text: Weathers

text: (1) || 27,287 || 1–1|- style="background-color:#bbffbb"| 3 || April 7 ||

text: Cardinals

text: || 5–1 ||

text: Maddux

text: (1–0) ||

text: Suppan

text: (0–1) || || 40,869 || 2–1|- style="background-color:#bbffbb"| 4 || April 8 ||

text: Cardinals

text: || 3–2 ||

text: Howry

text: (1–0) ||

text: Thompson

text: (1–1) ||

text: Dempster

text: (1)|| 40,182 || 3–1|- style="background-color:#bbffbb"| 5 || April 9 ||

text: Cardinals

text: || 8–4 ||

text: Williamson

text: (1–0) ||

text: Isringhausen

text: (0–1)|| || 39,839 || 4–1|- style="background-color:#ffbbbb"| 6 || April 11 ||

text: Reds

text: || 9–2 ||

text: Arroyo

text: (2–0) ||

text: Rusch

text: (0–2) || || 36,708 || 4–2|- style="background-color:#bbffbb"| 7 || April 12 ||

text: Reds

text: || 4–1 ||

text: Maddux

text: (2–0) ||

text: Claussen

text: (0–1) ||

text: Dempster

text: (2) || 37,252 || 5–2|- style="background-color:#ffbbbb"| 8 || April 13 ||

text: Reds

text: || 8–3 ||

text: Milton

text: (2–0) ||

text: Zambrano

text: (0–1) || || 40,881 || 5–3|- style="background-color:#bbffbb"| 9 || April 14 || @

text: Pirates

text: || 8–6 ||

text: Marshall

text: (1–0) ||

text: Santos

text: (1–2) || || 20,233 || 6–3|- style="background-color:#ffbbbb"| 10 || April 15 || @

text: Pirates

text: || 2–1 ||

text: Duke

text: (1–1) ||

text: Williams

text: (0–1) ||

text: Gonzalez

text: (2) || 34,264 || 6–4|- style="background-color:#bbffbb"| 11 || April 16 || @

text: Pirates

text: || 7–3 ||

text: Rusch

text: (1–2) ||

text: Snell

text: (0–1) || || 15,020 || 7–4|- style="background-color:#bbffbb"| 12 || April 17 || @

text: Dodgers

text: || 4–1 ||

text: Maddux

text: (3–0) ||

text: Tomko

text: (1–1) ||

text: Dempster

text: (3) || 33,511 || 8–4|- style="background-color:#ffbbbb"| 13 || April 18 || @

text: Dodgers

text: || 2–1 ||

text: Saito

text: (1–0) ||

text: Ohman

text: (1–1) || || 37,342 || 8–5|- style="background-color:#bbffbb"| 14 || April 19 || @

text: Dodgers

text: || 5–4 ||

text: Williamson

text: (2–0) ||

text: Báez

text: (0–1) ||

text: Dempster

text: (4) || 41,288 || 9–5|- style="background-color:#ffbbbb"| 15 || April 21 || @

text: Cardinals

text: || 9–3 ||

text: Mulder

text: (2–0) ||

text: Williams

text: (0–2) || || 41,379 || 9–6|- style="background-color:#ffbbbb"| 16 || April 22 || @

text: Cardinals

text: || 4–1 ||

text: Ponson

text: (2–0) ||

text: Rusch

text: (1–3) ||

text: Isringhausen

text: (5) || 41,424 || 9–7|- style="background-color:#bbffbb"| 17 || April 23 || @

text: Cardinals

text: || 7–3 ||

text: Maddux

text: (4–0) ||

text: Marquis

text: (3–1) || || 41,373 || 10–7|- style="background-color:#bbffbb"| 18 || April 24 ||

text: Marlins

text: || 6–3 ||

text: Aardsma

text: (1–0) ||

text: Johnson

text: (1–2) ||

text: Dempster

text: (5) || 36,865 || 11–7|- style="background-color:#bbffbb"| 19 || April 25 ||

text: Marlins

text: || 3–1 ||

text: Marshall

text: (2–0) ||

text: Willis

text: (1–1) ||

text: Dempster

text: (6) || 38,680 || 12–7|- style="background-color:#ffbbbb"| 20 || April 26 ||

text: Marlins

text: || 7–5 ||

text: Nolasco

text: (1–0) ||

text: Williamson

text: (2–1) ||

text: Borowski

text: (3) || 39,611 || 12–8|- style="background-color:#bbffbb"| 21 || April 28 ||

text: Brewers

text: || 6–2 ||

text: Maddux

text: (5–0) ||

text: Bush

text: (2–2) || || 39,522 || 13–8|- style="background-color:#ffbbbb"| 22 || April 29 ||

text: Brewers

text: || 16–2 ||

text: Davis

text: (1–2) ||

text: Rusch

text: (1–4) || || 40,644 || 13–9|- style="background-color:#ffbbbb"| 23 || April 30 ||

text: Brewers

text: || 9–0 ||

text: Capuano

text: (4–2) ||

text: Zambrano

text: (0–2) || || 39,229 || 13–10|- style="background-color:#bbffbb"| 24 || May 1 ||

text: Pirates

text: || 2–1 ||

text: Howry

text: (2–0) ||

text: Grabow

text: Dempster

text: (7) || 36,602 || 14–10|- style="background-color:#ffbbbb"| 25 || May 2 ||

text: Pirates

text: || 8–0 ||

text: Duke

text: (2–2) ||

text: Guzmán

text: (0–1) || || 39,110 || 14–11|- style="background-color:#ffbbbb"| 26 || May 3 || @

text: Diamondbacks

text: || 5–1 ||

text: Batista

text: (3–1) ||

text: Maddux

text: (5–1)  ||

text: Valverde

text: (8) || 25,335 || 14–12|- style="background-color:#ffbbbb"| 27 || May 4 || @

text: Diamondbacks

text: || 6–0 ||

text: Cruz

text: (1–0) ||

text: Hill

text: (0–1) || || 24,565 || 14–13|- style="background-color:#ffbbbb"| 28 || May 5 || @

text: Padres

text: || 1–0 ||

text: Cassidy

text: (2–0) ||

text: Williamson

text: (2–2) || || 37,123 || 14–14|- style="background-color:#ffbbbb"| 29 || May 6 || @

text: Padres

text: || 2–1 ||

text: Cassidy

text: (3–0) ||

text: Howry

text: (2–1) || || 37,745 || 14–15|- style="background-color:#ffbbbb"| 30 || May 7 || @

text: Padres

text: || 6–3 ||

text: Williams

text: (3–1) ||

text: Guzmán

text: (0–2) ||

text: Sweeney

text: (1) || 39,847 || 14–16|- style="background-color:#ffbbbb"| 31 || May 8 || @

text: Padres

text: || 8–3 ||

text: Young

text: (3–2) ||

text: Maddux

text: (5–2) || || 24,139 || 14–17|- style="background-color:#ffbbbb"| 32 || May 9 || @

text: Giants

text: || 6–1 ||

text: Schmidt

text: (3–2) ||

text: Hill

text: (0–2) || || 39,357 || 14–18|- style="background-color:#bbffbb"| 33 || May 10 || @

text: Giants

text: || 8–1 ||

text: Zambrano

text: (1–2) ||

text: Cain

text: (1–5) || || 39,655 || 15–18|- style="background-color:#ffbbbb"| 34 || May 11 || @

text: Giants

text: || 9–3 ||

text: Wright

text: (3–3) ||

text: Marshall

text: (2–1) || || 38,132 || 15–19|- style="background-color:#ffbbbb"| 35 || May 12 ||

text: Padres

text: || 10–5 ||

text: Sweeney

text: (2–0) ||

text: Rusch

text: (1–5)  || || 39,245 || 15–20|- style="background-color:#ffbbbb"| 36 || May 13 ||

text: Padres

text: || 4–3 ||

text: Meredith

text: (1–0) ||

text: Dempster

text: (0–1) ||

text: Hoffman

text: (7) || 40,095 || 15–21|- style="background-color:#ffbbbb"| 37 || May 14 ||

text: Padres

text: || 9–0 ||

text: Hensley

text: (2–2) ||

text: Hill

text: (0–3) || || 39,570 || 15–22|- style="background-color:#bbffbb"| 38 || May 16 ||

text: Nationals

text: || 4–0 ||

text: Zambrano

text: (2–2) ||

text: Hernández

text: (1–5) || || 39,298 || 16–22|- style="background-color:#bbffbb"| 39 || May 17 ||

text: Nationals

text: || 5–0 ||

text: Marshall

text: (3–1) ||

text: Day

text: (2–4) || || 39,757 || 17–22|- style="background-color:#ffbbbb"| 40 || May 18 ||

text: Nationals

text: || 5–3 ||

text: Ortiz

text: (1–4) ||

text: Wood

text: (0–1) ||

text: Cordero

text: (4) || 40,517 || 17–23|- style="background-color:#ffbbbb"| 41 || May 19 || @

text: White Sox

text: || 6–1 ||

text: Buehrle

text: (5–2) ||

text: Maddux

text: (5–3) || || 39,301 || 17–24|- style="background-color:#ffbbbb"| 42 || May 20 || @

text: White Sox

text: || 7–0 ||

text: García

text: (7–1) ||

text: Hill

text: (0–4) || || 39,387 || 17–25|- style="background-color:#bbffbb"| 43 || May 21 || @

text: White Sox

text: || 7–4 ||

text: Zambrano

text: (3–2) ||

text: Cotts

text: (0–2) ||

text: Dempster

text: (8) || 38,645 || 18–25|- style="background-color:#ffbbbb"| 44 || May 22 || @

text: Marlins

text: || 9–1 ||

text: Nolasco

text: (3–1) ||

text: Marshall

text: (3–2) || || 9,462 || 18–26|- style="background-color:#ffbbbb"| 45 || May 23 || @

text: Marlins

text: || 5–4 ||

text: Kensing

text: (1–1) ||

text: Dempster

text: (0–2) || || 10,979 || 18–27|- style="background-color:#ffbbbb"| 46 || May 24 || @

text: Marlins

text: || 9–3 ||

text: Moehler

text: (2–4) ||

text: Maddux

text: (5–4) || || 7,720 || 18–28|- style="background-color:#ffbbbb"| 47 || May 26 ||

text: Braves

text: || 6–5 ||

text: Remlinger

text: (2–2) ||

text: Dempster

text: (0–3) ||

text: Ray

text: (1) || 40,865 || 18–29|- style="background-color:#ffbbbb"| 48 || May 27 ||

text: Braves

text: || 2–1 ||

text: Ramírez

text: (1–0) ||

text: Marshall

text: (3–3) ||

text: Remlinger

text: (2) || 41,526 || 18–30|- style="background-color:#ffbbbb"| 49 || May 28 ||

text: Braves

text: || 13–12 ||

text: Villarreal

text: (7–0) ||

text: Eyre

text: (0–1) ||

text: Ray

text: (2) || 41,698 || 18–31|- style="background-color:#bbffbb"| 50 || May 29 ||

text: Reds

text: || 7–3 ||

text: Wood

text: (1–1) ||

text: Ramirez

text: (2–4) ||

text: Dempster

text: (9) || 40,072 || 19–31|- style="background-color:#bbffbb"| 51 || May 30 ||

text: Reds

text: || 8–3 ||

text: Maddux

text: (6–4) ||

text: Claussen

text: (3–6) || || 39,000 || 20–31|- style="background-color:#ffbbbb"| 52 || May 31 ||

text: Reds

text: || 3–2 ||

text: Milton

text: (3–2) ||

text: Zambrano

text: (3–3) ||

text: Coffey

text: (2) || 39,810 || 20–32|- style="background-color:#bbffbb"| 53 || June 2 || @

text: Cardinals

text: || 5–4 ||

text: Dempster

text: (1–3) ||

text: Hancock

text: (1–2) || || 45,799 || 21–32|- style="background-color:#bbffbb"| 54 || June 3 || @

text: Cardinals

text: || 8–5 ||

text: Rusch

text: (2–5) ||

text: Mulder

text: (5–4) ||

text: Howry

text: (1) || 45,820 || 22–32|- style="background-color:#ffbbbb"| 55 || June 4 || @

text: Cardinals

text: || 9–6 ||

text: Marquis

text: (8–4) ||

text: Maddux

text: (6–5) ||

text: Isringhausen

text: (18) || 45,753 || 22–33|- style="background-color:#bbffbb"| 56 || June 5 || @

text: Astros

text: || 8–0 ||

text: Zambrano

text: (4–3) ||

text: Buchholz

text: (3–5) || || 32,814 || 23–33|- style="background-color:#ffbbbb"| 57 || June 6 || @

text: Astros

text: || 4–1 ||

text: Rodríguez

text: (7–3) ||

text: Wood

text: (1–2) || || 35,903 || 23–34|- style="background-color:#ffbbbb"| 58 || June 7 || @

text: Astros

text: || 1–0 ||

text: Sampson

text: (1–0) ||

text: Marshall

text: (3–4) ||

text: Lidge

text: (15) || 42,492 || 23–35|- style="background-color:#ffbbbb"| 59 || June 8 || @

text: Reds

text: || 7–1 ||

text: Arroyo

text: (8–2) ||

text: Rusch

text: (2–6) || || 26,059 || 23–36|- style="background-color:#bbffbb"| 60 || June 9 || @

text: Reds

text: || 6–5 ||

text: Maddux

text: (7–5) ||

text: Ramirez

text: (2–5) ||

text: Dempster

text: (10) || 41,064 || 24–36|- style="background-color:#bbffbb"| 61 || June 10 || @

text: Reds

text: || 4–2 ||

text: Zambrano

text: (5–3) ||

text: Claussen

text: (3–7) ||

text: Dempster

text: (11) || 34,141 || 25–36|- style="background-color:#bbffbb"| 62 || June 11 || @

text: Reds

text: || 9–3 ||

text: Mármol

text: (1–0) ||

text: Milton

text: (4–3) || || 27,250 || 26–36|- style="background-color:#ffbbbb"| 63 || June 13 ||

text: Astros

text: || 9–2 ||

text: Pettitte

text: (6–7) ||

text: Marshall

text: (3–5) || || 40,563 || 26–37|- style="background-color:#ffbbbb"| 64 || June 14 ||

text: Astros

text: || 5–4 ||

text: Oswalt

text: Maddux

text: (7–6) ||

text: Lidge

text: (17) || 39,946 || 26–38|- style="background-color:#ffbbbb"| 65 || June 15 ||

text: Astros

text: || 3–2 ||

text: Borkowski

text: (1–0) ||

text: Howry

text: (2–2) ||

text: Lidge

text: (18) || 40,236 || 26–39|- style="background-color:#ffbbbb"| 66 || June 16 ||

text: Tigers

text: || 5–3 ||

text: Robertson

text: (7–3) ||

text: Rusch

text: (2–7) ||

text: Jones

text: (18) || 40,683 ||26–40|- style="background-color:#ffbbbb"| 67 || June 17 ||

text: Tigers

text: || 9–3 ||

text: Verlander

text: (8–4) ||

text: Mármol

text: (1–1) || || 41,459 || 26–41|- style="background-color:#ffbbbb"| 68 || June 18 ||

text: Tigers

text: || 12–3 ||

text: Rogers

text: (10–3) ||

text: Prior

text: (0–1) || || 39,938 || 26–42|- style="background-color:#bbffbb"| 69 || June 19 || @

text: Indians

text: || 12–8 ||

text: Marshall

text: (4–5) ||

text: Johnson

text: (3–8) || || 26,769 || 27–42|- style="background-color:#ffbbbb"| 70 || June 20 || @

text: Indians

text: || 4–2 ||

text: Lee

text: (6–5) ||

text: Maddux

text: (7–7) ||

text: Wickman

text: (10) || 25,049 || 27–43|- style="background-color:#bbffbb"| 71 || June 21 || @

text: Indians

text: || 9–2 ||

text: Zambrano

text: (6–3) ||

text: Sabathia

text: (5–4) || || 27,182 || 28–43|- style="background-color:#ffbbbb"| 72 || June 23 || @

text: Twins

text: || 7–2 ||

text: Santana

text: Mármol

text: (1–2) || || 34,361 || 28–44|- style="background-color:#ffbbbb"| 73 || June 24 || @

text: Twins

text: || 3–0 ||

text: Bonser

text: (2–1) ||

text: Prior

text: (0–2) ||

text: Nathan

text: (12) || 42,304 || 28–45|- style="background-color:#ffbbbb"| 74 || June 25 || @

text: Twins

text: || 8–1 ||

text: Radke

text: (6–7) ||

text: Marshall

text: (4–6) || || 35,128 || 28–46|- style="background-color:#ffbbbb"| 75 || June 26 ||

text: Brewers

text: || 6–0 ||

text: Capuano

text: (9–4) ||

text: Maddux

text: (7–8) || || 39,698 || 28–47|- style="background-color:#ffbbbb"| 76 || June 27 ||

text: Brewers

text: || 8–5 ||

text: Shouse

text: (1–0) ||

text: Dempster

text: (1–4) ||

text: Turnbow

text: (22) || 39,399 || 28–48|- style="background-color:#bbffbb"| 77 || June 28 ||

text: Brewers

text: || 6–3 ||

text: Howry

text: (3–2) ||

text: Kolb

text: (2–2) ||

text: Dempster

text: (12) || 39,321 || 29–48|- style="background-color:#ffbbbb"| 78 || June 29 ||

text: Brewers

text: || 5–4 ||

text: González

text: (1–0) ||

text: Prior

text: (0–3) ||

text: Turnbow

text: (23) || 39,144 || 29–49|- style="background-color:#ffbbbb"| 79 || June 30 ||

text: White Sox

text: || 6–2 ||

text: Garland

text: (7–3) ||

text: Marshall

text: (4–7) || || 40,720 || 29–50|- style="background-color:#ffbbbb"| 80 || July 1 ||

text: White Sox

text: || 8–6 ||

text: Cotts

text: (1–2) ||

text: Dempster

text: (1–5) ||

text: Jenks

text: (25) || 41,027 || 29–51|- style="background-color:#bbffbb"| 81 || July 2 ||

text: White Sox

text: || 15–11 ||

text: Zambrano

text: (7–3) ||

text: Buehrle

text: (9–5) ||

text: Howry

text: (2) || 40,919 || 30–51|- style="background-color:#ffbbbb"| 82 || July 3 || @

text: Astros

text: || 7–2 ||

text: Clemens

text: (1–2) ||

text: Mármol

text: (1–3) || || 41,655 || 30–52|- style="background-color:#ffbbbb"| 83 || July 4 || @

text: Astros

text: || 7–2 ||

text: Pettitte

text: (7–9) ||

text: Prior

text: (0–4) || || 41,502 || 30–53|- style="background-color:#bbffbb"| 84 || July 5 || @

text: Astros

text: || 1–0 ||

text: Marshall

text: (5–7) ||

text: Oswalt

text: (6–5) ||

text: Dempster

text: (13) || 31,952 || 31–53|- style="background-color:#ffbbbb"| 85 || July 6 || @

text: Brewers

text: || 2–0 ||

text: Capuano

text: (10–4) ||

text: Maddux

text: (7–9) || || 37,326 || 31–54|- style="background-color:#bbffbb"| 86 || July 7 || @

text: Brewers

text: || 7–2 ||

text: Zambrano

text: (8–3) ||

text: Jackson

text: (1–2) || || 41,172 || 32–54|- style="background-color:#bbffbb"| 87 || July 8 || @

text: Brewers

text: || 3–1 ||

text: Mármol

text: (2–3) ||

text: Bush

text: (5–7) ||

text: Dempster

text: (14) || 42,268 || 33–54|- style="background-color:#bbffbb"| 88 || July 9 || @

text: Brewers

text: || 11–4 ||

text: Rusch

text: (3–7) ||

text: Davis

text: (5–6) || || 41,528 || 34–54|- style="background-color:#ffbbbb"| 89 || July 14 ||

text: Mets

text: || 6–3 ||

text: Trachsel

text: (9–4) ||

text: Maddux

text: (7–10) || || 40,782 || 34–55|- style="background-color:#bbffbb"| 90 || July 15 ||

text: Mets

text: || 9–2 ||

text: Zambrano

text: (9–3) ||

text: Glavine

text: (11–3) || || 41,368 || 35–55|- style="background-color:#ffbbbb"| 91 || July 16 ||

text: Mets

text: || 13–7 ||

text: Feliciano

text: (3–2) ||

text: Marshall

text: (5–8) || || 40,157 || 35–56|- style="background-color:#bbffbb"| 92 || July 18 ||

text: Astros

text: || 4–2 ||

text: Mármol

text: (3–3) ||

text: Oswalt

text: (6–7) ||

text: Dempster

text: (15) || 39,883 || 36–56|- style="background-color:#ffbbbb"| 93 || July 19 ||

text: Astros

text: || 4–2 ||

text: Clemens

text: (2–3) ||

text: Maddux

text: (7–11) ||

text: Lidge

text: (22) || 40,344 || 36–57|- style="background-color:#bbffbb"| 94 || July 20 ||

text: Astros

text: || 4–1 ||

text: Zambrano

text: (10–3) ||

text: Pettitte

text: (8–10) ||

text: Dempster

text: (16) || 40,208 || 37–57|- style="background-color:#ffbbbb"| 95 || July 21 || @

text: Nationals

text: || 7–6 ||

text: Rauch

text: (3–1) ||

text: Howry

text: (3–3) ||

text: Cordero

text: (15) || 35,442 || 37–58|- style="background-color:#ffbbbb"| 96 || July 22 || @

text: Nationals

text: || 7–3 ||

text: Hernández

text: (7–8) ||

text: Williamson

text: (2–3) || || 38,021 || 37–59|- style="background-color:#ffbbbb"| 97 || July 23 || @

text: Nationals

text: || 7–1 ||

text: Armas

text: (7–5) ||

text: Mármol

text: (3–4) || || 30,851 || 37–60|- style="background-color:#bbffbb"| 98 || July 24 || @

text: Mets

text: || 8–7 ||

text: Maddux

text: (8–11) ||

text: Trachsel

text: (9–5) ||

text: Dempster

text: (17) || 45,631 || 38–60|- style="background-color:#bbffbb"| 99 || July 25 || @

text: Mets

text: || 8–6 ||

text: Zambrano

text: (11–3) ||

text: Glavine

text: (11–4) ||

text: Howry

text: (3) || 47,686 || 39–60|- style="background-color:#ffbbbb"| 100 || July 26 || @

text: Mets

text: || 1–0 ||

text: Heilman

text: (1–3) ||

text: Rusch

text: (3–8) || || 40,299 || 39–61|- style="background-color:#bbffbb"| 101 || July 27 ||

text: Cardinals

text: || 5–4 ||

text: Novoa

text: (1–0) ||

text: Johnson

text: (0–2) ||

text: Dempster

text: (18) || 40,346 || 40–61|- style="background-color:#bbffbb"| 102 || July 28 ||

text: Cardinals

text: || 6–5 ||

text: Mármol

text: (4–4) ||

text: Marquis

text: (12–8) ||

text: Dempster

text: (19) || 40,420 || 41–61|- style="background-color:#bbffbb"| 103 || July 29 ||

text: Cardinals

text: || 4–2 ||

text: Maddux

text: (9–11) ||

text: Reyes

text: (2–5) ||

text: Dempster

text: (20) || 41,302 || 42–61|- style="background-color:#bbffbb"| 104 || July 30 ||

text: Cardinals

text: || 6–3 ||

text: Zambrano

text: (12–3) ||

text: Carpenter

text: (10–5) || || 40,033 || 43–61|- style="background-color:#ffbbbb"| 105 || July 31 ||

text: Diamondbacks

text: || 15–4 ||

text: Webb

text: (12–4) ||

text: Prior

text: (0–5) || || 39,226 || 43–62|- style="background-color:#bbffbb"| 106 || August 1 ||

text: Diamondbacks

text: || 9–3 ||

text: Hill

text: (1–4) ||

text: Vargas

text: (8–8) || || 38,970 || 44–62|- style="background-color:#bbbbbb"| --- || August 2 ||

text: Diamondbacks

text: || colspan=5|Postponed (rain) Rescheduled for August 3 || 44–62|- style="background-color:#ffbbbb"| 107 || August 3 ||

text: Diamondbacks

text: || 10–2 ||

text: Cruz

text: (4–6) ||

text: Mármol

text: (4–5) || || || 44–63|- style="background-color:#bbffbb"| 108 || August 3 ||

text: Diamondbacks

text: || 7–3 ||

text: Mateo

text: (1–0) ||

text: González

text: (3–3) || || 40,715 || 45–63|- style="background-color:#ffbbbb"| 109 || August 4 ||

text: Pirates

text: || 6–0 ||

text: Gorzelanny

text: (2–2) ||

text: Zambrano

text: (12–4) || || 39,973 || 45–64|- style="background-color:#bbffbb"| 110 || August 5 ||

text: Pirates

text: || 7–5 ||

text: Prior

text: (1–5) ||

text: Duke

text: (7–10) ||

text: Dempster

text: (21) || 41,007 || 46–64|- style="background-color:#bbffbb"| 111 || August 6 ||

text: Pirates

text: || 6–1 ||

text: Hill

text: (2–4) ||

text: Snell

text: (9–8) || || 40,320 || 47–64|- style="background-color:#bbffbb"| 112 || August 8 || @

text: Brewers

text: || 6–3 ||

text: Mármol

text: (5–5) ||

text: Ohka

text: (3–3) ||

text: Dempster

text: (22) || 36,200 || 48–64|- style="background-color:#ffbbbb"| 113 || August 9 || @

text: Brewers

text: || 6–3 ||

text: Bush

text: (8–8) ||

text: Zambrano

text: (12–5) ||

text: Cordero

text: (4) || 36,012 || 48–65|- style="background-color:#ffbbbb"| 114 || August 10 || @

text: Brewers

text: || 8–6 ||

text: Davis

text: (8–6) ||

text: Prior

text: (1–6) ||

text: Cordero

text: (5) || 41,686 || 48–66|- style="background-color:#ffbbbb"| 115 || August 11 || @

text: Rockies

text: || 10–2 ||

text: Cook

text: (8–10) ||

text: Hill

text: (2–5) || || 35,744 || 48–67|- style="background-color:#ffbbbb"| 116 || August 12 || @

text: Rockies

text: || 8–4 ||

text: Fogg

text: (8–7) ||

text: Guzmán

text: (0–3) || || 43,485 || 48–68|- style="background-color:#bbffbb"| 117 || August 13 || @

text: Rockies

text: || 8–7 ||

text: Novoa

text: (2–0) ||

text: Corpas

text: (0–1) ||

text: Dempster

text: (23) || 35,408 || 49–68|- style="background-color:#bbffbb"| 118 || August 14 || @

text: Astros

text: || 3–0 ||

text: Zambrano

text: (13–5) ||

text: Oswalt

text: (9–8) ||

text: Dempster

text: (24) || 37,260 || 50–68|- style="background-color:#bbffbb"| 119 || August 15 || @

text: Astros

text: || 8–6 ||

text: Hill

text: (3–5) ||

text: Borkowski

text: (1–1) || || 41,531 || 51–68|- style="background-color:#bbffbb"| 120 || August 16 || @

text: Astros

text: || 1–0 ||

text: O'Malley

text: (1–0) ||

text: Pettitte

text: (11–13) ||

text: Howry

text: (4) || 38,989 || 52–68|- style="background-color:#ffbbbb"| 121 || August 18 ||

text: Cardinals

text: || 11–3 ||

text: Marquis

text: (13–11) ||

text: Mármol

text: (5–6) || || 40,346 || 52–69|- style="background-color:#bbffbb"| 122 || August 19 ||

text: Cardinals

text: || 5–4 ||

text: Wuertz

text: Isringhausen

text: (4–6) || || 40,864 || 53–69|- style="background-color:#ffbbbb"| 123 || August 20 ||

text: Cardinals

text: || 5–3 ||

text: Carpenter

text: (12–6) ||

text: Mateo

text: (1–1) ||

text: Isringhausen

text: (30) || 40,485 || 53–70|- style="background-color:#ffbbbb"| 124 || August 21 ||

text: Phillies

text: || 6–5 ||

text: Lieber

text: (6–9) ||

text: Hill

text: (3–6) ||

text: Rhodes

text: (3) || 38,950 || 53–71|- style="background-color:#ffbbbb"| 125 || August 22 ||

text: Phillies

text: || 6–3 ||

text: Moyer

text: (1–0) ||

text: O'Malley

text: (1–1) ||

text: Madson

text: (1) || 38,770 || 53–72|- style="background-color:#ffbbbb"| 126 || August 23 ||

text: Phillies

text: || 2–1 ||

text: Myers

text: (9–6) ||

text: Howry

text: (3–4) ||

text: Geary

text: (1) || 39,470 || 53–73|- style="background-color:#bbffbb"| 127 || August 24 ||

text: Phillies

text: || 11–2 ||

text: Zambrano

text: (14–5) ||

text: Hamels

text: (6–7) || || 39,464 || 54–73|- style="background-color:#ffbbbb"| 128 || August 25 || @

text: Cardinals

text: || 2–0 ||

text: Suppan

text: (10–7) ||

text: Mateo

text: (1–2) ||

text: Isringhausen

text: (31) || 46,004 || 54–74|- style="background-color:#ffbbbb"| 129 || August 26 || @

text: Cardinals

text: || 2–1 ||

text: Flores

text: (1–1) ||

text: Novoa

text: (2–1) || || 46,036 || 54–75|- style="background-color:#ffbbbb"| 130 || August 27 || @

text: Cardinals

text: || 10–6 ||

text: Looper

text: (7–1) ||

text: Howry

text: (3–5) || || 44,937 || 54–76|- style="background-color:#ffbbbb"| 131 || August 28 || @

text: Pirates

text: || 11–6 ||

text: Snell

text: (12–8) ||

text: Guzmán

text: (0–4) || || 12,666 || 54–77|- style="background-color:#ffbbbb"| 132 || August 29 || @

text: Pirates

text: || 7–6 ||

text: Capps

text: (5–1) ||

text: Dempster

text: (1–6) || || 14,618 || 54–78|- style="background-color:#ffbbbb"| 133 || August 30 || @

text: Pirates

text: || 10–9 ||

text: McLeary

text: (1–0) ||

text: Dempster

text: (1–7) || || 12,730 || 54–79|- style="background-color:#bbffbb"| 134 || September 1 ||

text: Giants

text: || 6–2 ||

text: Hill

text: (4–6) ||

text: Lowry

text: (7–8) || || 38,582 || 55–79|- style="background-color:#ffbbbb"| 135 || September 2 ||

text: Giants

text: || 4–2 ||

text: Cain

text: (11–9) ||

text: Marshall

text: (5–9) ||

text: Stanton

text: (4) || 40,135 || 55–80|- style="background-color:#ffbbbb"| 136 || September 3 ||

text: Giants

text: || 7–4 ||

text: Schmidt

text: (11–8) ||

text: Wuertz

text: (1–1) ||

text: Stanton

text: (5) || 40,702 || 55–81|- style="background-color:#ffbbbb"| 137 || September 4 ||

text: Pirates

text: || 5–4 ||

text: Maholm

text: (7–10) ||

text: Zambrano

text: (14–6) ||

text: Torres

text: (2) || 37,994 || 55–82|- style="background-color:#ffbbbb"| 138 || September 5 ||

text: Pirates

text: || 6–5 ||

text: Grabow

text: (4–1) ||

text: Dempster

text: (1–8) ||

text: Torres

text: (3) || 31,494 || 55–83|- style="background-color:#bbffbb"| 139 || September 6 ||

text: Pirates

text: || 7–2 ||

text: Wuertz

text: (2–1) ||

text: Grabow

text: (4–2) || || 32,557 || 56–83|- style="background-color:#ffbbbb"| 140 || September 7 ||

text: Pirates

text: || 7–5 ||

text: Bayliss

text: (1–0) ||

text: Eyre

text: (0–2) ||

text: Torres

text: (4) || 27,105 || 56–84|- style="background-color:#ffbbbb"| 141 || September 8 || @

text: Braves

text: || 8–4 ||

text: Hudson

text: (12–10) ||

text: Guzmán

text: (0–5) || || 30,977 || 56–85|- style="background-color:#ffbbbb"| 142 || September 9 || @

text: Braves

text: || 7–3 ||

text: James

text: (9–3) ||

text: Miller

text: (0–1) || || 40,584 || 56–86|- style="background-color:#ffbbbb"| 143 || September 10 || @

text: Braves

text: || 2–1 ||

text: Cormier

text: (3–4) ||

text: Mateo

text: (1–3) ||

text: Wickman

text: (13) || 28,212 || 56–87|- style="background-color:#bbffbb"| 144 || September 11 || @

text: Braves

text: || 8–3 ||

text: Hill

text: (5–6) ||

text: Smoltz

text: (12–9) || || 19,444 || 57–87|- style="background-color:#bbffbb"| 145 || September 12 ||

text: Dodgers

text: || 9–8 ||

text: Aardsma

text: (2–0) ||

text: Hamulack

text: (0–3) || || 35,618 || 58–87|- style="background-color:#ffbbbb"| 146 || September 13 ||

text: Dodgers

text: || 6–0 ||

text: Penny

text: (16–8) ||

text: Guzmán

text: (0–6) || || 35,868 || 58–88|- style="background-color:#bbffbb"| 147 || September 14 ||

text: Dodgers

text: || 6–5 ||

text: Eyre

text: (1–2) ||

text: Tomko

text: (8–7) ||

text: Howry

text: (5) || 31,361 || 59–88|- style="background-color:#ffbbbb"| 148 || September 15 ||

text: Reds

text: || 4–0 ||

text: Arroyo

text: (14–9) ||

text: Mármol

text: (5–7) || || 37,188 || 59–89|- style="background-color:#bbffbb"| 149 || September 16 ||

text: Reds

text: || 4–0 ||

text: Hill

text: (6–6) ||

text: Michalak

text: (1–3) || || 40,526 || 60–89|- style="background-color:#bbffbb"| 150 || September 17 ||

text: Reds

text: || 11–3 ||

text: Zambrano

text: (15–6) ||

text: Milton

text: (8–8) || || 39,164 || 61–89|- style="background-color:#bbffbb"| 151 || September 18 || @

text: Phillies

text: || 11–6 ||

text: Wuertz

text: (3–1) ||

text: Lieber

text: (8–10) || || 31,101 || 62–89|- style="background-color:#ffbbbb"| 152 || September 19 || @

text: Phillies

text: || 4–1 ||

text: Moyer

text: (3–2) ||

text: Miller

text: (0–2) ||

text: Gordon

text: (32) || 31,892 || 62–90|- style="background-color:#ffbbbb"| 153 || September 20 || @

text: Phillies

text: || 6–2 ||

text: Myers

text: (12–6) ||

text: Walrond

text: (0–1) || || 35,269 || 62–91|- style="background-color:#ffbbbb"| 154 || September 22 || @

text: Reds

text: || 4–2 ||

text: Michalak

text: (2–3) ||

text: Hill

text: (6–7) ||

text: Coffey

text: (8) || 21,332 || 62–92|- style="background-color:#bbffbb"| 155 || September 23 || @

text: Reds

text: || 11–4 ||

text: Zambrano

text: (16–6) ||

text: Lohse

text: (2–5) || || 28,264 || 63–92|- style="background-color:#ffbbbb"| 156 || September 24 || @

text: Reds

text: || 3–2 ||

text: Harang

text: (15–11) ||

text: Dempster

text: (1–9) || || 22,226 || 63–93|- style="background-color:#ffbbbb"| 157 || September 25 || @

text: Reds

text: || 5–4 ||

text: Schoeneweis

text: (2–0) ||

text: Eyre

text: (1–3) ||

text: Weathers

text: (12) || 16,278 || 63–94|- style="background-color:#bbffbb"| 158 || September 26 ||

text: Brewers

text: || 14–6 ||

text: Marshall

text: (6–9) ||

text: Villanueva

text: (1–2) || || 31,932 || 64–94|- style="background-color:#bbffbb"| 159 || September 27 ||

text: Brewers

text: || 3–2 ||

text: Howry

text: (4–5) ||

text: Cordero

text: (3–1) || || 36,273 || 65–94|- style="background-color:#ffbbbb"| 160 || September 29 ||

text: Rockies

text: || 5–2 ||

text: Fogg

text: (11–9) ||

text: Zambrano

text: (16–7) ||

text: Fuentes

text: (30) || 33,721 || 65–95|- style="background-color:#ffbbbb"| 161 || September 30 ||

text: Rockies

text: || 11–9 ||

text: Ramírez

text: (4–3) ||

text: Ryu

text: (0–1) || || 39,483 || 65–96|- style="background-color:#bbffbb"| 162 || October 1 ||

text: Rockies

text: || 8–5 ||

text: Aardsma

text: (3–0) ||

text: Affeldt

text: (4–2) || || 39,609 || 66–96

text: The iris is usually strongly pigmented, with the color typically ranging between  brown, hazel, green, gray, or blue. Occasionally, the color of the iris is due to a lack of pigmentation, as in the pinkish-white of oculo-cutaneous albinism, or to obscuration of its pigment by blood vessels, as in the red of an abnormally vascularised iris. Despite the wide range of colors, the only pigment that contributes substantially to normal human iris color is the dark pigment melanin. The quantity of melanin pigment in the iris is one factor in determining the phenotypic eye color of a person. Structurally, this huge molecule is only slightly different from its equivalent found in skin and hair. Iris color is due to variable amounts of eumelanin (brown/black melanins) and pheomelanin (red/yellow melanins) produced by melanocytes. More of the former is found in brown eyed people and of the latter in blue and green-eyed people.

text: The iris is usually strongly

text: pigment

text: ed, with the

text: color

text: typically ranging between  brown, hazel, green, gray, or blue. Occasionally, the color of the iris is due to a lack of pigmentation, as in the pinkish-white of oculo-cutaneous

text: albinism

text: , or to obscuration of its pigment by blood vessels, as in the red of an abnormally vascularised iris. Despite the wide range of colors, the only pigment that contributes substantially to normal human iris color is the dark pigment

text: melanin

text: . The quantity of melanin pigment in the iris is one factor in determining the phenotypic eye color of a person. Structurally, this huge molecule is only slightly different from its equivalent found in

text: skin

text: and

text: hair

text: . Iris color is due to variable amounts of eumelanin (brown/black melanins) and pheomelanin (red/yellow melanins) produced by melanocytes. More of the former is found in brown eyed people and of the latter in blue and green-eyed people.

text: Where white light is being deliberately separated into various color bands (for example, within a color video projector or color television camera), the similar dichroic prism is used instead. For cameras, however it is now more common to have an absorption filter array to filter individual pixels on a single CCD array.

text: Where

text: white light

text: is being deliberately separated into various color bands (for example, within a color

text: video projector

text: or

text: color television camera

text: ), the similar

text: dichroic prism

text: is used instead. For cameras, however it is now more common to have an absorption filter array to filter individual pixels on a single CCD array.

text: Since the dyes in processed film block various part of visible light but are all fairly transparent to infrared, dark black sections of any processed film (where all visible colors are blocked) pass only infrared light and are commonly used (layering one over another if necessary for better visual light filtering) as a cheap alternative to expensive glass-backed filters. Such filters can be used both over color camera lenses, and to filter visible light from IR illumination sources. Such filter stock is most easily made available most simply by having any commercial color negative film developed after being fully exposed to light. The leaders of 35mm film are ideal for this, without wasting an entire roll of film. (Some special communication may be necessary in such submission, to ensure that all of the "black" negative film thus produced is indeed returned, and that there is no need to print the color-negative results on photographic paper). In the same way, visually opaque "black" color-positive film emulsions mounted in cardboard, as for routine slide projection, provide inexpensive cardboard-mounted infrared filters. Film sizes larger than 35 mm may be handled in the same way for larger filter production.

text: The RGB (CMY) color wheel has largely replaced the traditional RYB color wheel because it is possible to display much brighter and more saturated colors using the primary and secondary colors of the RGB (CMY) color wheel. In the terminology of color theory, RGB color space (CMY color space) has a much larger color gamut than RYB color space.

text: The RGB (CMY) color wheel has largely replaced the traditional RYB color wheel because it is possible to display much brighter and more saturated colors using the primary and secondary colors of the RGB (CMY) color wheel. In the terminology of

text: color theory

text: RGB color space

text: CMY color space

text: ) has a much larger

text: color gamut

text: than

text: RYB color space

text: Another common form of synesthesia is the association of sounds with colors. For some, everyday sounds such as doors opening, cars honking, or people talking can trigger seeing colors. For others, colors are triggered when musical notes and/or keys are being played. People with synesthesia related to music may also have perfect pitch because their ability to see/hear colors aids them in identifying notes or keys.

text: Another common form of synesthesia is the association of sounds with colors. For some, everyday sounds such as doors opening, cars honking, or people talking can trigger seeing colors. For others, colors are triggered when musical notes and/or keys are being played. People with synesthesia related to music may also have

text: perfect pitch

text: because their ability to see/hear colors aids them in identifying notes or keys.

text: The color defined as green in the RGB color model, displayed on the right, is the brightest possible green that can be reproduced on a computer screen, and is the color named green in X11. It is one of the three primary colors used in the RGB color space along with red and blue. The three additive primaries in the RGB color system are the three colors of light chosen such as to provide the maximum range of colors that are capable of being represented on a computer or television set.

text: The color defined as green in the

text: RGB color model

text: , displayed on the right, is the brightest possible green that can be reproduced on a computer screen, and is the color named green in

text: . It is one of the three

text: primary color

text: s used in the

text: RGB color space

text: along with

text: red

text: and

text: blue

text: . The three additive primaries in the RGB color system are the three colors of light chosen such as to provide the maximum range of colors that are capable of being represented on a computer or television set.

text: The color histogram can be built for any kind of color space, although the term is more often used for three-dimensional spaces like RGB or HSV.  For monochromatic images, the term intensity histogram may be used instead.  For multi-spectral images, where each pixel is represented by an arbitrary number of measurements (for example, beyond the three measurements in RGB), the color histogram is N-dimensional, with N being the number of measurements taken. Each measurement has its own wavelength range of the light spectrum, some of which may be outside the visible spectrum.

text: The color histogram can be built for any kind of color space, although the term is more often used for three-dimensional spaces like

text: RGB

text: or

text: HSV

text: .  For

text: monochromatic image

text: s, the term intensity histogram may be used instead.  For multi-spectral images, where each pixel is represented by an arbitrary number of measurements (for example, beyond the three measurements in RGB), the color histogram is N-dimensional, with N being the number of measurements taken. Each measurement has its own wavelength range of the light spectrum, some of which may be outside the visible spectrum.

text: The GameCube controller was sold in several different colors over the console's lifespan. Standard colors included "Indigo" (Purple), "Jet Black", "Platinum" (Silver) and "Spice" (Orange); these were bundled their respective colored GameCube consoles and sold separately in many countries. Other standard colors sold separately included "Indigo/Clear" (Indigo top with a clear translucent bottom), "Emerald Blue" (Turquoise), and White; the latter two were only available in Japan.

text: Another common form of hacking is palette hacking, where color values are modified to change the colors a player sees in the game (this often goes hand-in-hand with graphics hacking); Palette values are commonly stored in Hex. This is fairly easy for NES games, the graphics of which use a pre-defined set of colors among which a game selects; palette hacking in this case entails changing which of those colors are selected. The matter is slightly more complicated with Super NES games and games for other systems, which store absolute RGB color values. Palette editors are usually simple and often are with Level editors, or Game specific graphics editors.

text: Another common form of hacking is palette hacking, where color values are modified to change the colors a player sees in the game (this often goes hand-in-hand with

text: graphics hacking

text: ); Palette values are commonly stored in

text: Hex

text: . This is fairly easy for

text: NES

text: games, the graphics of which use a pre-defined set of colors among which a game selects; palette hacking in this case entails changing which of those colors are selected. The matter is slightly more complicated with

text: Super NES

text: games and games for other systems, which store absolute

text: RGB

text: color values. Palette editors are usually simple and often are with Level editors, or Game specific graphics editors.

text: | style="text-align:center;" colspan="7"||-  style="text-align:center; background:#e3e3e3;"|  style="border-style:none none solid solid; "|Result|  style="border-style:none none solid solid; "|Opponent|  style="border-style:none none solid solid; "|Type|  style="border-style:none none solid solid; "|Rd., Time|  style="border-style:none none solid solid; "|Date|  style="border-style:none none solid solid; "|Location|  style="border-style:none none solid solid; "|Notes|- align=center|Win|align=left| Tiger Flowers|KO|2 (10)|1922-06-05|align=left| Ponce de Leon Park, Atlanta, Georgia|align=left||- align=center|Win|align=left| George Godfrey|KO|1 (12)|1921-08-17|align=left| Riverside Club, Covington, Kentucky|align=left||- align=center|Win|align=left| George Godfrey|KO|2 (10)|1920-11-17|align=left| Hot Springs, Arkansas|align=left||- align=center|Win|align=left| Sam McVea|NWS|10|1920-08-14|align=left| East Chicago, Indiana|align=left|Newspaper Decision|- align=center|style="background:#abcdef;"|Draw|align=left| George Godfrey|PTS|10|1920-05-01|align=left| Unknown Location|align=left||- align=center|Loss|align=left| Harry Wills|PTS|15|1920-04-23|align=left| Stockyards Stadium, Denver, Colorado|align=left|For World "Colored" Heavyweight Title.|- align=center|Loss|align=left| Harry Wills|PTS|15|1919-11-05|align=left| Convention Hall, Tulsa, Oklahoma|align=left|For World "Colored" Heavyweight Title.|- align=center|Loss|align=left| Harry Wills|NWS|10|1919-09-30|align=left| Syracuse Arena, Syracuse, New York|align=left|Newspaper Decision|- align=center|Loss|align=left| Harry Wills|NWS|8|1919-07-04|align=left| Sportsman's Park, Saint Louis, Missouri|align=left|Newspaper Decision|- align=center|Loss|align=left| Harry Wills|TKO|8 (20)|1918-05-19|align=left| Vista Allegre Bull Ring, Panama City|align=left||- align=center|Loss|align=left| Harry Wills|KO|6 (20)|1918-04-14|align=left| Vista Allegre Bull Ring, Panama City|align=left|Lost World "Colored" Heavyweight Title.|- align=center|Win|align=left| Kid Norfolk|KO|2 (20)|1917-12-17|align=left| Stockyards Stadium, Denver, Colorado|align=left||- align=center|style="background:#abcdef;"|Draw|align=left| Harry Wills|NWS|12|1917-11-12|align=left| Toledo Coliseum, Toledo, Ohio|align=left|Newspaper Decision|- align=center|Loss|align=left| Harry Wills|NWS|10|1917-09-20|align=left| Clermont Avenue Rink, Brooklyn, New York|align=left|Newspaper Decision|- align=center|Win|align=left| Joe Jeanette|NWS|12|1917-09-14|align=left| Toledo Coliseum, Toledo, Ohio|align=left|Newspaper Decision|- align=center|Loss|align=left| Harry Wills|NWS|6|1917-05-11|align=left| Cambria A.C., Philadelphia, Pennsylvania|align=left|Newspaper Decision|- align=center|style="background:#abcdef;"|Draw|align=left| Sam McVea|PTS|20|1916-08-12|align=left| Teatro Roma, Avellaneda, Buenos Aires|align=left|Retains World "Colored" Heavyweight Title.|- align=center|Win|align=left| Joe Jeanette|KO|7 (10)|1916-05-12|align=left| Syracuse Arena, Syracuse, New York|align=left|Retains World "Colored" Heavyweight Title.|- align=center|style="background:#abcdef;"|Draw|align=left| Sam McVea|NWS|12|1916-05-02|align=left| East Market St. Rink, Akron, Ohio|align=left|Newspaper Decision|- align=center|Loss|align=left| Harry Wills|NWS|8|1916-04-25|align=left| Saint Louis Coliseum, Saint Louis, Missouri|align=left|Newspaper Decision|- align=center|Win|align=left| Sam McVea|NWS|10|1916-04-07|align=left| Syracuse Arena, Syracuse, New York|align=left|Newspaper Decision|- align=center|Loss|align=left| Harry Wills|NWS|10|1916-03-07|align=left| Broadway Arena, Brooklyn, New York|align=left|Newspaper Decision|- align=center|Win|align=left| Sam McVea|NWS|10|1916-02-17|align=left| Madison Square Garden, New York, New York|align=left|Newspaper Decision|- align=center|Win|align=left| Harry Wills|KO|19 (20)|1916-02-11|align=left| Tommy Burns Arena, Louisiana, New Orleans|align=left|Won World "Colored" Heavyweight Title.|- align=center|Loss|align=left| Harry Wills|PTS|20|1916-01-03|align=left| Tulane A.C., Louisiana, New Orleans|align=left|For World "Colored" Heavyweight Title.|- align=center|Loss|align=left| Harry Wills|NWS|10|1915-12-03|align=left| Harlem S.C., New York, New York|align=left|Newspaper Decision|- align=center|style="background:#abcdef;"|Draw|align=left| Sam McVea|NWS|10|1915-11-23|align=left| American A.C., New York, New York|align=left|Newspaper Decision|- align=center|style="background:#abcdef;"|Draw|align=left| Sam McVea|PTS|10|1915-09-30|align=left| Denver, Colorado|align=left||- align=center|Loss|align=left| Sam McVea|PTS|12|1915-06-29|align=left| Atlas A.A., Boston, Massachusetts|align=left|For World "Colored" Heavyweight Title.|- align=center|Loss|align=left| Joe Jeanette|PTS|12|1915-04-13|align=left| Atlas A.A., Boston, Massachusetts|align=left|Lost World "Colored" Heavyweight Title.|- align=center|Win|align=left| Harry Wills|KO|14 (20)|1914-11-26|align=left| Vernon Arena, Vernon, California|align=left|Retained World "Colored" Heavyweight Title.|- align=center|Win|align=left| Gunboat Smith|KO|3 (12)|1914-10-20|align=left| Atlas A.A., Boston, Massachusetts|align=left||- align=center|style="background:#abcdef;"|Draw|align=left| Joe Jeanette|NWS|10|1914-10-01|align=left| Stadium A.C., New York, New York|align=left|Newspaper Decision|- align=center|style="background:#abcdef;"|Draw|align=left| Harry Wills|NWS|10|1914-05-01|align=left| National Baseball Park, New Orleans, Louisiana|align=left|Newspaper Decision|- align=center|Win|align=left| Joe Jeanette|PTS|20|1913-12-20|align=left| Luna Park Arena, Paris|align=left||- align=center|Loss|align=left| Gunboat Smith|PTS|12|1913-11-17|align=left| Atlas A.A., Boston, Massachusetts|align=left||- align=center|style="background:#abcdef;"|Draw|align=left| Joe Jeanette|NWS|10|1913-10-03|align=left| Madison Square Garden, New York, New York|align=left|Newspaper Decision|- align=center|style="background:#abcdef;"|Draw|align=left| Sam McVea|PTS|20|1913-03-24|align=left| Olympic Stadium, Brisbane, Queensland|align=left|Retained World "Colored" Heavyweight Title.|- align=center|Win|align=left| Sam McVea|KO|13 (20)|1912-12-26|align=left| Sydney Stadium, Sydney, New South Wales|align=left|Retained World "Colored" Heavyweight Title.|- align=center|Win|align=left| Sam McVea|TKO|11 (20)|1912-10-09|align=left| Exhibition Stadium, Perth, Western Australia|align=left|Retained World "Colored" Heavyweight Title.|- align=center|Win|align=left| Sam McVea|PTS|20|1912-08-03|align=left| Sydney Stadium, Sydney, New South Wales|align=left|Retained World "Colored" Heavyweight Title.|- align=center|Win|align=left| Sam McVea|PTS|20|1912-04-08|align=left| Sydney Stadium, Sydney, New South Wales|align=left|Won World "Colored" Heavyweight Title.|- align=center|Loss|align=left| Sam McVea|PTS|20|1911-12-26|align=left| Sydney Stadium, Sydney, New South Wales|align=left|Lost World "Colored" Heavyweight Title.|- align=center|Win|align=left| Joe Jeanette|NWS|10|1911-09-05|align=left| Madison Square Garden, New York, New York|align=left|Newspaper Decision|- align=center|Win|align=left| Philadelphia Jack O'Brien|TKO|5 (10)|1911-08-15|align=left| Twentieth Century A.C., New York, New York|align=left||- align=center|style="background:#abcdef;"|Draw|align=left| Sam McVea|PTS|20|1911-04-01|align=left| Cirque de Paris, Paris|align=left|Retained World "Colored" Heavyweight Title.|- align=center|Win|align=left| Joe Jeanette|PTS|12|1911-01-10|align=left| Armory A.A., Boston, Massachusetts|align=left|Retained World "Colored" Heavyweight Title.|- align=center|Win|align=left| Joe Jeanette|PTS|15|1910-09-06|align=left| Armory A.A., Boston, Massachusetts|align=left|Retained World "Colored" Heavyweight Title.|- align=center|Win|align=left| Stanley Ketchel|NWS|6|1910-04-27|align=left| National A.C., Philadelphia, Pennsylvania|align=left|Newspaper Decision|- align=center|Win|align=left| Dixie Kid|KO|3 (8)|1910-01-10|align=left| Phoenix A.C., Memphis, Tennessee|align=left|Retained World "Colored" Heavyweight Title.|- align=center|Win|align=left| Dixie Kid|RTD|5 (12)|1909-09-28|align=left| Armory A.A., Boston, Massachusetts|align=left|Retained World "Colored" Heavyweight Title.|- align=center|Win|align=left| Joe Jeanette|NWS|6|1908-09-01|align=left| National A.C, New York, New York|align=left|Newspaper Decision|- align=center|style="background:#abcdef;"|Draw|align=left| Joe Jeanette|PTS|12|1908-03-03|align=left| Armory A.A., Boston, Massachusetts|align=left||- align=center|Win|align=left| Young Peter Jackson|PTS|20|1907-11-12|align=left| Pacific A.C., Los Angeles, California|align=left|Retained World "Colored" Middleweight Title.|- align=center|style="background:#abcdef;"|Draw|align=left| Joe Jeanette|PTS|12|1907-01-11|align=left| Unity Cycle Club, Lawrence, Massachusetts|align=left||- align=center|Win|align=left| Young Peter Jackson|PTS|15|1906-11-21|align=left| Rochester, New York|align=left||- align=center|Loss|align=left| Young Peter Jackson|TKO|5|1906-06-13|align=left| Southbridge, Massachusetts|align=left||- align=center|Loss|align=left| Jack Johnson|PTS|15|1906-04-26|align=left| Lincoln A.C., Chelsea, Massachusetts|align=left|For World "Colored" Heavyweight Title.|- align=center|Win|align=left| Joe Jeanette|PTS|15|1906-04-05|align=left| Lincoln A.C., Chelsea, Massachusetts|align=left||- align=center|Loss|align=left| Joe Jeanette|TKO|8 (12)|1905-12-25|align=left| Unity Cycle Club, Lawrence, Massachusetts|align=left||- align=center|style="background:#ddd;"|NC|align=left| Jack Blackburn|NC|1 (6)|1905-10-07|align=left| National A.C., Philadelphia, Pennsylvania|align=left||- align=center|style="background:#abcdef;"|Draw|align=left| Young Peter Jackson|PTS|15|1905-09-29|align=left| Germania Maennerchor Hall, Baltimore, Maryland|align=left||- align=center|style="background:#abcdef;"|Draw|align=left| Jack Blackburn|PTS|10|1905-09-20|align=left| Lyric A.C., Allentown, Pennsylvania|align=left||- align=center|Win|align=left| Young Peter Jackson|PTS|15|1905-06-16|align=left| Douglas A.C., Chelsea, Massachusetts|align=left||- align=center|Win|align=left| Young Peter Jackson|PTS|15|1905-05-26|align=left| Highland A.C., Marlborough, Massachusetts|align=left||- align=center|style="background:#abcdef;"|Draw|align=left| Jack Blackburn|PTS|15|1904-12-09|align=left| Marlborough Theater, Marlborough, Massachusetts|align=left||- align=center|style="background:#abcdef;"|Draw|align=left| Barbados Joe Walcott|PTS|15|1904-09-05|align=left| Lake Massabesic Coliseum, Manchester, New Hampshire|align=left|For World Welterweight Title.|- align=center|style="background:#abcdef;"|Draw|align=left| Jack Blackburn|NWS|6|1904-01-11|align=left| Washington S.C., Philadelphia, Pennsylvania|align=left|Newspaper Decision|- align=center|style="background:#abcdef;"|Draw|align=left| Jack Blackburn|PTS|12|1903-12-23|align=left| Central A.C., Boston, Massachusetts|align=left||- align=center|Win|align=left| Joe Gans|PTS|15|1903-12-08|align=left| Criterion A.C., Boston, Massachusetts|align=left|

text: | style="text-align:center;" colspan="7"||-  style="text-align:center; background:#e3e3e3;"|  style="border-style:none none solid solid; "|Result|  style="border-style:none none solid solid; "|Opponent|  style="border-style:none none solid solid; "|Type|  style="border-style:none none solid solid; "|Rd., Time|  style="border-style:none none solid solid; "|Date|  style="border-style:none none solid solid; "|Location|  style="border-style:none none solid solid; "|Notes|- align=center|Win|align=left|

text: Tiger Flowers

text: |KO|2 (10)|1922-06-05|align=left|

text: Ponce de Leon Park

text: Atlanta, Georgia

text: |align=left||- align=center|Win|align=left|

text: George Godfrey

text: |KO|1 (12)|1921-08-17|align=left| Riverside Club,

text: Covington

text: Kentucky

text: George Godfrey

text: |KO|2 (10)|1920-11-17|align=left| Hot Springs,

text: Arkansas

text: Sam McVea

text: East Chicago

text: Indiana

text: |align=left|Newspaper Decision|- align=center|style="background:#abcdef;"|Draw|align=left|

text: George Godfrey

text: |PTS|10|1920-05-01|align=left| Unknown Location|align=left||- align=center|Loss|align=left|

text: Harry Wills

text: |PTS|15|1920-04-23|align=left| Stockyards Stadium,

text: Denver

text: Colorado

text: |align=left|For

text: World "Colored" Heavyweight Title

text: .|- align=center|Loss|align=left|

text: Harry Wills

text: |PTS|15|1919-11-05|align=left| Convention Hall,

text: Tulsa

text: Oklahoma

text: |align=left|For

text: World "Colored" Heavyweight Title

text: .|- align=center|Loss|align=left|

text: Harry Wills

text: |NWS|10|1919-09-30|align=left| Syracuse Arena,

text: Syracuse

text: New York

text: |align=left|Newspaper Decision|- align=center|Loss|align=left|

text: Harry Wills

text: |NWS|8|1919-07-04|align=left| Sportsman's Park,

text: Saint Louis

text: Missouri

text: Harry Wills

text: |TKO|8 (20)|1918-05-19|align=left| Vista Allegre Bull Ring,

text: Panama City

text: |align=left||- align=center|Loss|align=left|

text: Harry Wills

text: |KO|6 (20)|1918-04-14|align=left| Vista Allegre Bull Ring,

text: Panama City

text: |align=left|Lost

text: World "Colored" Heavyweight Title

text: .|- align=center|Win|align=left|

text: Kid Norfolk

text: |KO|2 (20)|1917-12-17|align=left| Stockyards Stadium,

text: Denver

text: Colorado

text: |align=left||- align=center|style="background:#abcdef;"|Draw|align=left|

text: Harry Wills

text: |NWS|12|1917-11-12|align=left| Toledo Coliseum,

text: Toledo

text: Ohio

text: Harry Wills

text: |NWS|10|1917-09-20|align=left| Clermont Avenue Rink,

text: Brooklyn

text: New York

text: |align=left|Newspaper Decision|- align=center|Win|align=left|

text: Joe Jeanette

text: |NWS|12|1917-09-14|align=left| Toledo Coliseum,

text: Toledo

text: Ohio

text: Harry Wills

text: |NWS|6|1917-05-11|align=left| Cambria A.C.,

text: Philadelphia

text: Pennsylvania

text: Sam McVea

text: |PTS|20|1916-08-12|align=left| Teatro Roma,

text: Avellaneda

text: Buenos Aires

text: |align=left|Retains

text: World "Colored" Heavyweight Title

text: .|- align=center|Win|align=left|

text: Joe Jeanette

text: |KO|7 (10)|1916-05-12|align=left| Syracuse Arena,

text: Syracuse

text: New York

text: |align=left|Retains

text: World "Colored" Heavyweight Title

text: .|- align=center|style="background:#abcdef;"|Draw|align=left|

text: Sam McVea

text: |NWS|12|1916-05-02|align=left| East Market St. Rink,

text: Akron

text: Ohio

text: Harry Wills

text: |NWS|8|1916-04-25|align=left| Saint Louis Coliseum,

text: Saint Louis

text: Missouri

text: Sam McVea

text: |NWS|10|1916-04-07|align=left| Syracuse Arena,

text: Syracuse

text: New York

text: Harry Wills

text: |NWS|10|1916-03-07|align=left| Broadway Arena,

text: Brooklyn

text: New York

text: Sam McVea

text: Madison Square Garden

text: New York

text: New York

text: Harry Wills

text: |KO|19 (20)|1916-02-11|align=left| Tommy Burns Arena,

text: Louisiana

text: New Orleans

text: |align=left|Won

text: World "Colored" Heavyweight Title

text: .|- align=center|Loss|align=left|

text: Harry Wills

text: |PTS|20|1916-01-03|align=left| Tulane A.C.,

text: Louisiana

text: New Orleans

text: |align=left|For

text: World "Colored" Heavyweight Title

text: .|- align=center|Loss|align=left|

text: Harry Wills

text: |NWS|10|1915-12-03|align=left| Harlem S.C.,

text: New York

text: New York

text: Sam McVea

text: |NWS|10|1915-11-23|align=left| American A.C.,

text: New York

text: New York

text: Sam McVea

text: Denver

text: Colorado

text: Sam McVea

text: |PTS|12|1915-06-29|align=left| Atlas A.A.,

text: Boston

text: Massachusetts

text: |align=left|For

text: World "Colored" Heavyweight Title

text: .|- align=center|Loss|align=left|

text: Joe Jeanette

text: |PTS|12|1915-04-13|align=left| Atlas A.A.,

text: Boston

text: Massachusetts

text: |align=left|Lost

text: World "Colored" Heavyweight Title

text: .|- align=center|Win|align=left|

text: Harry Wills

text: |KO|14 (20)|1914-11-26|align=left| Vernon Arena,

text: Vernon

text: California

text: |align=left|Retained

text: World "Colored" Heavyweight Title

text: .|- align=center|Win|align=left|

text: Gunboat Smith

text: |KO|3 (12)|1914-10-20|align=left| Atlas A.A.,

text: Boston

text: Massachusetts

text: Joe Jeanette

text: |NWS|10|1914-10-01|align=left| Stadium A.C.,

text: New York

text: New York

text: Harry Wills

text: |NWS|10|1914-05-01|align=left| National Baseball Park,

text: New Orleans

text: Louisiana

text: Joe Jeanette

text: |PTS|20|1913-12-20|align=left| Luna Park Arena,

text: Paris

text: Gunboat Smith

text: |PTS|12|1913-11-17|align=left| Atlas A.A.,

text: Boston

text: Massachusetts

text: Joe Jeanette

text: Madison Square Garden

text: New York

text: New York

text: Sam McVea

text: Olympic Stadium

text: Brisbane

text: Queensland

text: |align=left|Retained

text: World "Colored" Heavyweight Title

text: .|- align=center|Win|align=left|

text: Sam McVea

text: |KO|13 (20)|1912-12-26|align=left| Sydney Stadium,

text: Sydney

text: New South Wales

text: |align=left|Retained

text: World "Colored" Heavyweight Title

text: .|- align=center|Win|align=left|

text: Sam McVea

text: |TKO|11 (20)|1912-10-09|align=left| Exhibition Stadium,

text: Perth

text: Western Australia

text: |align=left|Retained

text: World "Colored" Heavyweight Title

text: .|- align=center|Win|align=left|

text: Sam McVea

text: |PTS|20|1912-08-03|align=left| Sydney Stadium,

text: Sydney

text: New South Wales

text: |align=left|Retained

text: World "Colored" Heavyweight Title

text: .|- align=center|Win|align=left|

text: Sam McVea

text: |PTS|20|1912-04-08|align=left| Sydney Stadium,

text: Sydney

text: New South Wales

text: |align=left|Won

text: World "Colored" Heavyweight Title

text: .|- align=center|Loss|align=left|

text: Sam McVea

text: |PTS|20|1911-12-26|align=left| Sydney Stadium,

text: Sydney

text: New South Wales

text: |align=left|Lost

text: World "Colored" Heavyweight Title

text: .|- align=center|Win|align=left|

text: Joe Jeanette

text: Madison Square Garden

text: New York

text: New York

text: Philadelphia Jack O'Brien

text: |TKO|5 (10)|1911-08-15|align=left| Twentieth Century A.C.,

text: New York

text: New York

text: Sam McVea

text: |PTS|20|1911-04-01|align=left| Cirque de Paris,

text: Paris

text: |align=left|Retained

text: World "Colored" Heavyweight Title

text: .|- align=center|Win|align=left|

text: Joe Jeanette

text: |PTS|12|1911-01-10|align=left| Armory A.A.,

text: Boston

text: Massachusetts

text: |align=left|Retained

text: World "Colored" Heavyweight Title

text: .|- align=center|Win|align=left|

text: Joe Jeanette

text: |PTS|15|1910-09-06|align=left| Armory A.A.,

text: Boston

text: Massachusetts

text: |align=left|Retained

text: World "Colored" Heavyweight Title

text: .|- align=center|Win|align=left|

text: Stanley Ketchel

text: |NWS|6|1910-04-27|align=left| National A.C.,

text: Philadelphia

text: Pennsylvania

text: Dixie Kid

text: |KO|3 (8)|1910-01-10|align=left| Phoenix A.C.,

text: Memphis

text: Tennessee

text: |align=left|Retained

text: World "Colored" Heavyweight Title

text: .|- align=center|Win|align=left|

text: Dixie Kid

text: |RTD|5 (12)|1909-09-28|align=left| Armory A.A.,

text: Boston

text: Massachusetts

text: |align=left|Retained

text: World "Colored" Heavyweight Title

text: .|- align=center|Win|align=left|

text: Joe Jeanette

text: |NWS|6|1908-09-01|align=left| National A.C,

text: New York

text: New York

text: Joe Jeanette

text: |PTS|12|1908-03-03|align=left| Armory A.A.,

text: Boston

text: Massachusetts

text: Young Peter Jackson

text: |PTS|20|1907-11-12|align=left| Pacific A.C.,

text: Los Angeles

text: California

text: |align=left|Retained

text: World "Colored" Middleweight Title

text: Joe Jeanette

text: |PTS|12|1907-01-11|align=left| Unity Cycle Club,

text: Lawrence

text: Massachusetts

text: Young Peter Jackson

text: Rochester

text: New York

text: Young Peter Jackson

text: Southbridge

text: Massachusetts

text: Jack Johnson

text: |PTS|15|1906-04-26|align=left| Lincoln A.C.,

text: Chelsea

text: Massachusetts

text: |align=left|For

text: World "Colored" Heavyweight Title

text: .|- align=center|Win|align=left|

text: Joe Jeanette

text: |PTS|15|1906-04-05|align=left| Lincoln A.C.,

text: Chelsea

text: Massachusetts

text: Joe Jeanette

text: |TKO|8 (12)|1905-12-25|align=left| Unity Cycle Club,

text: Lawrence

text: Massachusetts

text: |align=left||- align=center|style="background:#ddd;"|NC|align=left|

text: Jack Blackburn

text: |NC|1 (6)|1905-10-07|align=left| National A.C.,

text: Philadelphia

text: Pennsylvania

text: Young Peter Jackson

text: |PTS|15|1905-09-29|align=left| Germania Maennerchor Hall,

text: Baltimore

text: Maryland

text: Jack Blackburn

text: |PTS|10|1905-09-20|align=left| Lyric A.C.,

text: Allentown

text: Pennsylvania

text: Young Peter Jackson

text: |PTS|15|1905-06-16|align=left| Douglas A.C.,

text: Chelsea

text: Massachusetts

text: Young Peter Jackson

text: |PTS|15|1905-05-26|align=left| Highland A.C.,

text: Marlborough

text: Massachusetts

text: Jack Blackburn

text: |PTS|15|1904-12-09|align=left| Marlborough Theater,

text: Marlborough

text: Massachusetts

text: Barbados Joe Walcott

text: |PTS|15|1904-09-05|align=left| Lake Massabesic Coliseum,

text: Manchester

text: New Hampshire

text: |align=left|For World Welterweight Title.|- align=center|style="background:#abcdef;"|Draw|align=left|

text: Jack Blackburn

text: |NWS|6|1904-01-11|align=left| Washington S.C.,

text: Philadelphia

text: Pennsylvania

text: Jack Blackburn

text: |PTS|12|1903-12-23|align=left| Central A.C.,

text: Boston

text: Massachusetts

text: Joe Gans

text: |PTS|15|1903-12-08|align=left| Criterion A.C.,

text: Boston

text: Massachusetts

text: |align=left|

text: Early color cameras used the obvious technique of using separate red, green and blue image tubes in conjunction with a color separator, a technique still in use with 3CCD solid state cameras today.  It was also possible to construct a color camera that used a single image tube.  One technique has already been described (Trinicon above).  A more common technique and a simpler one from the tube construction standpoint was to overlay the photosensitive target with a color striped filter having a fine pattern of vertical stripes of green, cyan and clear filters (i.e. Green; Green+Blue & Green+Blue+Red) repeating across the target.  The advantage of this arrangement was that for virtually every color, the video level of the green component was always less than the cyan, and similarly the cyan was always less than the white.  Thus the contributing images could be separated without any reference electrodes in the tube.  If the three levels were the same, then that part of the scene was green.  This method suffered from the disadvantage that the light levels under the three filters were almost certain to be different, with the green filter passing not more than one third of the available light.

text: Early color cameras used the obvious technique of using separate red, green and blue image tubes in conjunction with a

text: color separator

text: , a technique still in use with

text: solid state cameras today.  It was also possible to construct a color camera that used a single image tube.  One technique has already been described (Trinicon above).  A more common technique and a simpler one from the tube construction standpoint was to overlay the photosensitive target with a color striped filter having a fine pattern of vertical stripes of green, cyan and clear filters (i.e. Green; Green+Blue & Green+Blue+Red) repeating across the target.  The advantage of this arrangement was that for virtually every color, the video level of the green component was always less than the cyan, and similarly the cyan was always less than the white.  Thus the contributing images could be separated without any reference electrodes in the tube.  If the three levels were the same, then that part of the scene was green.  This method suffered from the disadvantage that the light levels under the three filters were almost certain to be different, with the green filter passing not more than one third of the available light.

text: Fish and some members of their food chain have color receptors in their eyes optimized for the light of their “space”. Eyes that can see a single space color can detect changes in light intensity. This is equivalent to a world in black, white and shades of gray. In this simplest level of visual information processing, an animal can recognize that something is different in its space—i.e., that there is food or a predator “over there”. Most animals living in a lighted world have an additional visual resource: color vision.  By definition, that requires that they have color receptors containing at least two different visual pigments. To efficiently perform this function in water illuminated with light, an aquatic animal would have visual pigments sensitive to the background “space” color and one or more visual pigments offset from this blue-green region, say, in the red or ultraviolet region of the spectrum. This imparts a clear survival advantage to these animals because they can detect not only changes in light intensity but also contrasts in color.  Many fish, for example, have two color receptors, one in the blue region of the spectra (425-490 nm) and the other in the near UV (320-380 nm). Insects and shrimp, members of the fish food chain, have blue, green (530 nm) and near UV receptors.  In fact, some aquatic animals have up to ten different classes of visual pigment in their eyes. By comparison, humans have three with maximum sensitivities in the blue (442 nm), green (543 nm) and yellow (570 nm). It is the differential responses of these receptor cells that enable color vision.

text: During the period 1955-1965 at Michigan and Indiana, De Valois developed techniques for measuring both electrophysiological and psychophysical responses of macaque monkeys to chromatic stimuli. In an attempt to understand the neurophysiology underlying color vision, he applied these techniques to evaluate the responses of single cells in the primate visual system . De Valois performed a set of experiments that addressed a scientific controversy that had its roots in the nineteenth century color vision theories of Young, Helmholtz, and Hering. Starting from observations on color matching, Young and Helmholtz had proposed that color vision was based on the presence of three sets of particles or three types of nervous fibres in the eye that were preferentially sensitive to reds, greens, and blue.  Hering, starting from observations on color appearance, had proposed that the percept of color emerged from spectrally-opponent mechanisms in the visual system that contrasted red vs green and blue vs yellow. A number of experiments had shown that the spectral responses of photopigments in the three types of cone cells found in the retina could provide a biophysical correlate for the first stage of trichromatic color vision, an explanation in line with the postulates of Young and Helmholtz. However the discovery of chromatically-antagonistic neurons in monkey lateral geniculate nucleus (LGN) by De Valois and his associates demonstrated a neural substrate for a second stage of color processing, similar to that proposed by Hering. In two publications  they described four types of cells: one set that had excitatory responses in the long (“red”) wavelength region and inhibitory responses at middle (“green”) wavelengths (R+G- ), and vice versa (G+ R-); and a second set that had excitatory responses to short (“blue”) wavelength and inhibitory responses to middle and long (“yellow”) wavelengths B+Y- ,and  vice versa (Y+ B-). One sees the influence of this work in the 1981 Current Contents designation of his paper, "Analysis of Response Patterns of LGN Cells,"   as a 'Citation Classic'

text: During the period 1955-1965 at Michigan and Indiana, De Valois developed techniques for measuring both electrophysiological and psychophysical responses of macaque monkeys to chromatic stimuli. In an attempt to understand the neurophysiology underlying color vision, he applied these techniques to evaluate the responses of single cells in the primate visual system . De Valois performed a set of experiments that addressed a scientific controversy that had its roots in the nineteenth century color vision theories of Young, Helmholtz, and Hering. Starting from observations on color matching,

text: Young and Helmholtz

text: had proposed that color vision was based on the presence of three sets of particles or three types of nervous fibres in the eye that were preferentially sensitive to reds, greens, and blue.

text: Hering

text: , starting from observations on color appearance, had proposed that the percept of color emerged from spectrally-opponent mechanisms in the visual system that contrasted red vs green and blue vs yellow. A number of experiments had shown that the spectral responses of photopigments in the three types of cone cells found in the

text: retina

text: could provide a biophysical correlate for the first stage of trichromatic color vision, an explanation in line with the postulates of Young and Helmholtz. However the discovery of chromatically-antagonistic neurons in monkey lateral geniculate nucleus (LGN) by De Valois and his associates demonstrated a neural substrate for a second stage of color processing, similar to that proposed by Hering. In two publications  they described four types of cells: one set that had excitatory responses in the long (“red”) wavelength region and inhibitory responses at middle (“green”) wavelengths (R+G- ), and vice versa (G+ R-); and a second set that had excitatory responses to short (“blue”) wavelength and inhibitory responses to middle and long (“yellow”) wavelengths B+Y- ,and  vice versa (Y+ B-). One sees the influence of this work in the 1981 Current Contents designation of his paper, "Analysis of Response Patterns of LGN Cells,"   as a 'Citation Classic'

text: For a wasp species, Parachartergus fraternus is average in size. A typical Parachartergus fraternus forager is about 11 mm long, 3 mm wide across its thorax, and weighs about 0.05 g. Queens do not differ morphologically from workers and are therefore similar in size. The dorsal and ventral parts of the body are blackish which is a characteristic of this species. The abdomen has a fusiform shape with short hairs that can only be seen with a microscope. The abdomen is linked to the thorax by a pedunculum. At rest, the wings are longitudinally bent with the last distal part being clear and colorless (almost white). The wings also have very pronounced veins. The eyes of the wasp are big and compound with a large number of facets. The antennae are bent at a sharp angle and the mouthparts are orange colored. The age of the wasp is determined by examining the progressive pigmentation of the transverse apodeme, which is located at the base of each sternum. The youngest wasps have no pigmentation, middle aged wasps have brown coloring, and the oldest wasps have black coloring.

text: For a wasp species, Parachartergus fraternus is average in size. A typical Parachartergus fraternus forager is about 11 mm long, 3 mm wide across its

text: thorax

text: , and weighs about 0.05 g. Queens do not differ morphologically from workers and are therefore similar in size. The

text: dorsal

text: and

text: ventral

text: parts of the body are blackish which is a characteristic of this species. The abdomen has a

text: fusiform

text: shape with short hairs that can only be seen with a

text: microscope

text: . The abdomen is linked to the thorax by a pedunculum. At rest, the wings are longitudinally bent with the last distal part being clear and colorless (almost white). The wings also have very pronounced veins. The eyes of the wasp are big and compound with a large number of facets. The antennae are bent at a sharp angle and the mouthparts are orange colored. The age of the wasp is determined by examining the progressive pigmentation of the transverse apodeme, which is located at the base of each sternum. The youngest wasps have no pigmentation, middle aged wasps have brown coloring, and the oldest wasps have black coloring.

text: Studies of various tattoo pigments have shown that a number of pigments (most containing iron oxide or titanium dioxide) change color when irradiated with Q-switched laser energy. Some tattoo colors including flesh tones, light red, white, peach and light brown containing pigments as well as some green and blue tattoo pigments, changed to black when irradiated with Q-switched laser pulses. The resulting gray-black color may require more treatments to remove. If tattoo darkening does occur, after 8 weeks the newly darkened tattoo can be treated as if it were black pigment.

text: To summarize, the color of an object is a complex result of its surface properties, its transmission properties, and its emission properties, all of which contribute to the mix of wavelengths in the light leaving the surface of the object. The perceived color is then further conditioned by the nature of the ambient illumination, and by the color properties of other objects nearby, and via other characteristics of the perceiving eye and brain.

text: Romanian clearly distinguishes between the colors green () and blue (). It also uses separate words for different hues of the same color, e.g. light blue (), blue (albastru), dark-blue (bleu- or ), along with a word for turquoise () and azure ( or ).

text: Romanian

text: clearly distinguishes between the colors green () and blue (). It also uses separate words for different hues of the same color, e.g. light blue (), blue (albastru), dark-blue (bleu- or ), along with a word for turquoise () and azure ( or ).

text: Objection, 1974 (18.25 min.): sound, color; 16 mm

text: Subtractive coloring uses dyes, inks, pigments, or filters to absorb some wavelengths of light and not others. The color that a surface displays comes from the parts of the visible spectrum that are not absorbed and therefore remain visible. Without pigments or dye, fabric fibers, paint base and paper are usually made of particles that scatter white light (all colors) well in all directions. When a pigment or ink is added, wavelengths are absorbed or "subtracted" from white light, so light of another color reaches the eye.

text: Subtractive color

text: ing uses dyes, inks, pigments, or filters to absorb some wavelengths of light and not others. The color that a surface displays comes from the parts of the visible spectrum that are not absorbed and therefore remain visible. Without pigments or dye, fabric fibers, paint base and paper are usually made of particles that scatter white light (all colors) well in all directions. When a pigment or ink is added, wavelengths are absorbed or "subtracted" from white light, so light of another color reaches the eye.

text: The brown color of leaves is not the result of a pigment, but rather cell walls, which may be evident when no coloring pigment is visible.

text: There are several ways of selecting colors, including palettes, color choosers and using an eyedropper tool to select a colour on the canvas. The built-in color choosers include RGB/HSV selector or scales, water-color selector, CMYK selector and a color-wheel selector. Colors can also be selected using hexadecimal color codes as used in HTML color selection. GIMP has native support for indexed colour and RGB color spaces; other color spaces are supported using decomposition where each channel of the new color space becomes a black-and-white image. CMYK, LAB and HSV (hue, saturation, value) are supported this way. Color blending can be achieved using the Blend tool, by applying a gradient to the surface of an image and using GIMP's color modes. Gradients are also integrated into tools such as the brush tool, when the user paints this way the output color slowly changes. There are a number of default gradients included with GIMP; a user can also create custom gradients with tools provided. Gradient plug-ins are also available.

text: There are several ways of selecting colors, including palettes, color choosers and using an eyedropper tool to select a colour on the canvas. The built-in color choosers include

text: RGB

text: HSV

text: selector or scales, water-color selector,

text: CMYK

text: selector and a color-wheel selector. Colors can also be selected using hexadecimal color codes as used in HTML color selection. GIMP has native support for indexed colour and

text: RGB

text: color spaces; other color spaces are supported using decomposition where each channel of the new color space becomes a black-and-white image. CMYK,

text: LAB

text: and

text: HSV

text: hue

text: saturation

text: value

text: ) are supported this way. Color blending can be achieved using the Blend tool, by applying a

text: gradient

text: to the surface of an image and using GIMP's color modes. Gradients are also integrated into tools such as the brush tool, when the user paints this way the output color slowly changes. There are a number of default gradients included with GIMP; a user can also create custom gradients with tools provided. Gradient plug-ins are also available.

text: The Romans were already familiar with the ability of a prism to generate a rainbow of colors.Newton is traditionally regarded as the founder of spectroscopy, but he was not the first scientist who studied and reported on the solar spectrum. The works of Athanasius Kircher (1646), Jan Marek Marci (1648), Robert Boyle (1664), and Francesco Maria Grimaldi (1665), predate Newton's optics experiments (1666–1672).Newton published his experiments and theoretical explanations of dispersion of light in his 'Opticks'. His experiments demonstrated that white light could be split up into component colors by means of a prism and that these components could be recombined to generate white light. He demonstrated that the prism is not imparting or creating the colors but rather separating constituent parts of the white light.Newton's corpuscular theory of light was gradually succeeded by the wave theory.  It was not until the 19th century that the quantitative measurement of dispersed light was recognized and standardized. As with many subsequent spectroscopy experiments, Newton's sources of white light included flames, the sun and stars. Subsequent experiments with prisms provided the first indications that spectra were associated uniquely with chemical constituents. Scientists observed the emission of distinct patterns of color when salts were added to alcohol flames.

text: The Romans were already familiar with the ability of a prism to generate a rainbow of colors.Newton is traditionally regarded as the founder of spectroscopy, but he was not the first scientist who studied and reported on the solar spectrum. The works of

text: Athanasius Kircher

text: Jan Marek Marci

text: Robert Boyle

text: (1664), and

text: Francesco Maria Grimaldi

text: (1665), predate Newton's optics experiments (1666–1672).Newton published his experiments and theoretical explanations of

text: dispersion of light

text: in his '

text: Opticks

text: '. His experiments demonstrated that white light could be split up into component colors by means of a prism and that these components could be recombined to generate white light. He demonstrated that the prism is not imparting or creating the colors but rather separating constituent parts of the white light.Newton's

text: corpuscular theory

text: of light was gradually succeeded by the

text: wave theory

text: .  It was not until the 19th century that the quantitative measurement of dispersed light was recognized and standardized. As with many subsequent spectroscopy experiments, Newton's sources of white light included

text: flame

text: s, the

text: sun

text: and

text: stars

text: . Subsequent experiments with prisms provided the first indications that spectra were associated uniquely with chemical constituents. Scientists observed the emission of distinct patterns of color when

text: salts

text: were added to

text: alcohol

text: flames.

text: The Fechner color effect is an illusion of color seen when looking at certain rapidly changing or moving black-and-white patterns. They are also called pattern induced flicker colors (PIFCs). Not everyone sees the same colors.

text: The Fechner color effect is an

text: illusion

text: of

text: color

text: seen when looking at certain rapidly changing or moving black-and-white patterns. They are also called pattern induced flicker colors (PIFCs). Not everyone sees the same colors.

text: Color paints are mixed together to create darkness, because each color absorbs certain frequencies of light. Theoretically, mixing together the three primary colors, or the three secondary colors, will absorb all visible light and create black. In practice it is difficult to prevent the mixture from taking on a brown tint.

text: Color

text: paints

text: are mixed together to create darkness, because each color absorbs certain frequencies of light. Theoretically, mixing together the three primary colors, or the three secondary colors, will absorb all visible light and create black. In practice it is difficult to prevent the mixture from taking on a brown tint.

text: Color filters are needed because the typical photosensors detect light intensity with little or no wavelength specificity, and therefore cannot separate color information.Since sensors are made of semiconductors they obey solid-state physics.

text: Color filters are needed because the typical photosensors detect light intensity with little or no

text: wavelength

text: specificity, and therefore cannot separate color information.Since sensors are made of

text: semiconductors

text: they obey

text: solid-state physics

text: |-! colspan="9" style="background:#00407A; color:#FFFFFF;"| Exhibition|-! colspan="9" style="background:#00407A; color:#FFFFFF;"| Non-conference regular season|-! colspan="9" style="background:#00407A; color:#FFFFFF;"| Conference USA regular season|-! colspan="9" style="background:#00407A; color:#FFFFFF;"| |-! colspan="9" style="background:#00407A; color:#FFFFFF;"|

text: |-! colspan="9" style="background:#00407A; color:#FFFFFF;"| Exhibition|-! colspan="9" style="background:#00407A; color:#FFFFFF;"| Non-conference regular season|-! colspan="9" style="background:#00407A; color:#FFFFFF;"| Conference USA regular season|-! colspan="9" style="background:#00407A; color:#FFFFFF;"|

entity_name: 2016 Conference USA Women's Basketball Tournament

text: |-! colspan="9" style="background:#00407A; color:#FFFFFF;"|

text: Light sources for copying artwork generally were quartz halogen lights. Backlighting was generally provided by the use a darkroom photographic enlarger colorhead modified for use with the camera. This form of controlled light provide colored light balanced for the color sensitivity of the film used and provided color light for the separate exposures that are made through the mattes.

text: Light sources for copying artwork generally were

text: quartz halogen

text: lights. Backlighting was generally provided by the use a darkroom

text: photographic enlarger

text: colorhead modified for use with the camera. This form of controlled light provide colored light balanced for the color sensitivity of the film used and provided color light for the separate exposures that are made through the mattes.

text: The color circle is used for, among other purposes, illustrating additive color mixture. Combining two colored lights from different parts of the spectrum may produce a third color that appears like a light from another part of the spectrum, even though dissimilar wavelengths are involved. This type of color matching is known as metameric matching.  Thus a combination of green and red light might produce a color close to yellow in apparent hue. The newly formed color lies between the two original colors on the color circle, but they are usually represented as being joined by a straight line on the circle, the location of the new color closer to the (white) centre of the circle indicating that the resulting hue is less saturated (i.e., paler) than either of the two source colors. The combination of any two colors in this way are always less saturated than the two pure spectral colors individually.

text: The color circle is used for, among other purposes, illustrating

text: additive color

text: mixture. Combining two colored lights from different parts of the spectrum may produce a third color that appears like a light from another part of the spectrum, even though dissimilar wavelengths are involved. This type of color matching is known as

text: metameric

text: matching.  Thus a combination of green and red light might produce a color close to yellow in apparent hue. The newly formed color lies between the two original colors on the color circle, but they are usually represented as being joined by a straight line on the circle, the location of the new color closer to the (white) centre of the circle indicating that the resulting hue is less saturated (i.e., paler) than either of the two source colors. The combination of any two colors in this way are always less saturated than the two pure spectral colors individually.

text: Color Bleeding - The transfer of color between nearby objects or, caused by the colored reflection of indirect light. This is a visible effect that appears when a scene is rendered with Radiosity or full global illumination, or can otherwise be simulated by adding colored lights to a 3D scene.

text: The principle of univariance states that one and the same visual receptor cell can be excited by different combinations of wavelength and intensity, so that the brain can not know the color of a certain point of the retinal image. One individual photoreceptor type can therefore not differentiate between a change in wavelength and a change in intensity. Thus the wave length information can be extracted only by comparing the responses across different types of receptors. The principle of univariance was first described by W.A.H. Rushton.

text: The principle of univariance states that one and the same

text: visual receptor cell

text: can be excited by different combinations of wavelength and intensity, so that the brain can not know the color of a certain point of the retinal image. One individual photoreceptor type can therefore not differentiate between a change in wavelength and a change in intensity. Thus the wave length information can be extracted only by comparing the responses across different types of receptors. The principle of univariance was first described by

text: W.A.H. Rushton

text: McCracken states the following. "I was always primarily interested in form alone, but then to make a form, you have to make it out of something. So color seemed a natural material to use, because color is abstract. If you make a form that appears to be composed of color, then you have something, an object, that's pretty abstract. Just form alone would be more abstract, of course, because it's just a mental idea, but you don't have anything there for your perceptions to grapple with unless you make it out of a material. However, if you make it out of metal, or stone, or wood, or whatever, then you have something that to my mind may overemphasize the physical aspect and therefore be difficult to perceive as purely mental. An important thought behind this is that all things are essentially mental - that matter, while quite real on the one hand, is on the other hand composed of energy, and in turn, of pure thought."

text: A color space maps a range of physically produced colors (from mixed light, pigments, etc.) to an objective description of color sensations registered in the eye, typically in terms of tristimulus values, but not usually in the LMS space defined by the cone spectral sensitivities. The tristimulus values associated with a color space can be conceptualized as amounts of three primary colors in a tri-chromatic additive color model. In some color spaces, including LMS and XYZ spaces, the primary colors used are not real colors, in the sense that they cannot be generated with any light spectrum.

text: A color space maps a range of physically produced colors (from mixed light,

text: pigment

text: s, etc.) to an objective description of color sensations registered in the eye, typically in terms of tristimulus values, but not usually in the LMS space defined by the cone spectral sensitivities. The tristimulus values associated with a color space can be conceptualized as amounts of three

text: primary color

text: s in a tri-chromatic

text: additive

text: color model

text: . In some color spaces, including LMS and XYZ spaces, the primary colors used are not real colors, in the sense that they cannot be generated with any light spectrum.

text: |-!colspan=9 style="background:#; color:#FFFFFF;"| Non-conference regular season|-!colspan=9 style="background:#; color:#FFFFFF;"| Atlantic Sun regular season|-!colspan=9 style="background:#; color:#FFFFFF;"|

entity_name: 2017 Atlantic Sun Women's Basketball Tournament

text: Before the 19th century, cobalt was predominantly used as a pigment. Since the Middle Ages, it has been used in the production of smalt, a blue colored glass. Smalt is produced by melting a mixture of the roasted mineral smaltite, quartz and potassium carbonate, yielding a dark blue silicate glass which is finely ground after the production. Smalt was widely used for the coloration of glass and as pigment for paintings. In 1780, Sven Rinman discovered cobalt green, and in 1802 Louis Jacques Thénard discovered cobalt blue. Cobalt pigments such as cobalt blue (cobalt aluminate), cerulean blue (cobalt(II) stannate), various hues of cobalt green (a mixture of cobalt(II) oxide and zinc oxide), and cobalt violet (cobalt phosphate) are used as artist's pigments because of their superior chromatic stability. Aureolin (cobalt yellow) is now largely replaced by more lightfast yellow pigments.

text: Before the 19th century, cobalt was predominantly used as a pigment. Since the Middle Ages, it has been used in the production of

text: smalt

text: , a blue colored glass. Smalt is produced by melting a mixture of the roasted mineral

text: smaltite

text: quartz

text: and

text: potassium carbonate

text: , yielding a dark blue silicate glass which is finely ground after the production. Smalt was widely used for the coloration of glass and as pigment for paintings. In 1780,

text: Sven Rinman

text: discovered

text: cobalt green

text: , and in 1802

text: Louis Jacques Thénard

text: discovered cobalt blue. Cobalt pigments such as

text: cobalt blue

text: (cobalt aluminate),

text: cerulean

text: blue (cobalt(II) stannate), various hues of

text: cobalt green

text: (a mixture of

text: cobalt(II) oxide

text: and

text: zinc oxide

text: ), and cobalt violet (

text: cobalt phosphate

text: ) are used as artist's pigments because of their superior chromatic stability.

text: Aureolin

text: (cobalt yellow) is now largely replaced by more lightfast yellow pigments.

text: No mixture of colors, however, can produce a response truly identical to that of a spectral color, although one can get close, especially for the longer wavelengths, where the CIE 1931 color space chromaticity diagram has a nearly straight edge. For example, mixing green light (530 nm) and blue light (460 nm) produces cyan light that is slightly desaturated, because response of the red color receptor would be greater to the green and blue light in the mixture than it would be to a pure cyan light at 485 nm that has the same intensity as the mixture of blue and green.

text: No mixture of colors, however, can produce a response truly identical to that of a spectral color, although one can get close, especially for the longer wavelengths, where the

text: CIE 1931 color space

text: chromaticity diagram has a nearly straight edge. For example, mixing green light (530 nm) and blue light (460 nm) produces cyan light that is slightly desaturated, because response of the red color receptor would be greater to the green and blue light in the mixture than it would be to a pure cyan light at 485 nm that has the same intensity as the mixture of blue and green.

text: Real colors are colors that can be produced by a physical light source. Any additive mixture of two real colors is also a real color. When colors are displayed in the CIE 1931 XYZ color space, additive mixture results in a color along the line between the colors being mixed. By mixing any three colors, one can therefore create any color contained in the triangle they describe—this is called the gamut formed by those three colors, which are called primary colors. Any colors outside of this triangle cannot be obtained by mixing the chosen primaries.

text: Real colors are colors that can be produced by a physical light source. Any

text: additive mixture

text: of two real colors is also a real color. When colors are displayed in the

text: CIE 1931 XYZ color space

text: , additive mixture results in a color along the line between the colors being mixed. By mixing any three colors, one can therefore create any color contained in the triangle they describe—this is called the

text: gamut

text: formed by those three colors, which are called

text: primary color

text: s. Any colors outside of this triangle cannot be obtained by mixing the chosen primaries.

text: The phenomenon is not entirely understood. One possible reason people see colors may be that the color receptors in the human eye respond at different rates to red, green, and blue. More specifically, the latencies of the center and the surrounding mechanisms differ for the different types of color-specific ganglion cells.

text: The phenomenon is not entirely understood. One possible reason people see colors may be that the

text: color receptors

text: in the human eye respond at different rates to red, green, and blue. More specifically, the latencies of the center and the surrounding mechanisms differ for the different types of color-specific ganglion cells.

text: The modern RGB color wheel replaced the traditional old-fashioned RYB color wheel because it is possible to display much brighter and more saturated colors using the primary and secondary colors of the RGB color wheel. In the terminology of color theory, RGB color space has a much larger color gamut than RYB color space.

text: The modern RGB color wheel replaced the traditional old-fashioned RYB color wheel because it is possible to display much brighter and more saturated colors using the primary and secondary colors of the RGB color wheel. In the terminology of

text: color theory

text: RGB color space

text: has a much larger

text: color gamut

text: than

text: RYB color space

text: In color printing, the color called process magenta, pigment magenta, or printer's magenta is one of the three primary pigment colors which, along with yellow and cyan, constitute the three subtractive primary colors of pigment. (The secondary colors of pigment are blue, green, and red.) As such, the hue magenta is the complement of green: magenta pigments absorb green light; thus magenta and green are opposite colors.

text: In

text: color printing

text: , the color called process magenta, pigment magenta, or printer's magenta is one of the three primary pigment colors which, along with

text: yellow

text: and

text: cyan

text: , constitute the three

text: subtractive primary colors

text: of pigment. (The secondary colors of pigment are blue, green, and red.) As such, the hue magenta is the

text: complement

text: of

text: green

text: : magenta

text: pigment

text: s absorb green light; thus magenta and green are opposite colors.

text: The sparkle effect of the pigments in coating applications is controlled by the quantity of the added pigment. The effect is visible already at concentrations of 0.1% in the paint system. The intensity is steadily increased up to pigment concentrations of about 2%. The single light spots arising from the pigment structure and orientation in the paint system seem to spring back and forth when a painted metal plate is tilted. Also, the color of the other components of the paint has an influence in addition to the concentration of the pigment. A dark color, for example, forms a high contrast to the bright light spots and strengthens the effect. Favorable is also the use of a covering varnish in order to achieve an optimal effect.

text: At right is the web color magenta. It is one of the three secondary colors in the RGB color model.On the RGB color wheel, magenta is the color between rose and violet, and halfway between red and blue.

text: At right is the

text: web color

text: magenta. It is one of the three secondary colors in the

text: RGB color model

text: .On the

text: RGB color wheel

text: , magenta is the color between

text: rose

text: and

text: violet

text: , and halfway between

text: red

text: and

text: blue

text: Perceptual constancies are sources of illusions. Color constancy and brightness constancy are responsible for the fact that a familiar object will appear the same color regardless of the amount of light or color of light reflecting from it. An illusion of color or contrast difference can be created when the luminosity or color of the area surrounding an unfamiliar object is changed. The contrast of the object will appear darker against a black field that reflects less light compared to a white field even though the object itself did not change in color. Similarly, the eye will compensate for color contrast depending on the color cast of the surrounding area.

text: Perceptual constancies are sources of illusions.

text: Color constancy

text: and brightness constancy are responsible for the fact that a familiar object will appear the same color regardless of the amount of light or color of light reflecting from it. An illusion of color or contrast difference can be created when the luminosity or color of the area surrounding an unfamiliar object is changed. The contrast of the object will appear darker against a black field that reflects less light compared to a white field even though the object itself did not change in color. Similarly, the eye will compensate for color contrast depending on the color cast of the surrounding area.

text: With regard to 1), they find that color terms are not acquired any later than other relevant lexemes to distinguish objects. It had been thought, for example, that since color is not necessarily unique to a given object, and diverse objects are more likely to share common color than a common shape, that color terms lagged behind shape terms in development. This was found not to be the case.

text: In an attempt to accommodate more traditional and intuitive color mixing models, computer graphics pioneers at PARC and NYIT developed the HSV model in the mid-1970s, formally described by Alvy Ray Smith in the August 1978 issue of Computer Graphics. In the same issue, Joblove and Greenberg described the HSL model—whose dimensions they labeled hue, relative chroma, and intensity—and compared it to HSV (). Their model was based more upon how colors are organized and conceptualized in human vision in terms of other color-making attributes, such as hue, lightness, and chroma; as well as upon traditional color mixing methods—e.g., in painting—that involve mixing brightly colored pigments with black or white to achieve lighter, darker, or less colorful colors.

text: In an attempt to accommodate more traditional and intuitive color mixing models, computer graphics pioneers at

text: PARC

text: and

text: NYIT

text: developed the HSV model in the mid-1970s, formally described by

text: Alvy Ray Smith

text: in the August 1978 issue of

text: Computer Graphics

text: . In the same issue, Joblove and Greenberg described the HSL model—whose dimensions they labeled hue, relative chroma, and intensity—and compared it to HSV (). Their model was based more upon how colors are organized and conceptualized in

text: human vision

text: in terms of other color-making attributes, such as hue, lightness, and chroma; as well as upon traditional color mixing methods—e.g., in painting—that involve mixing brightly colored pigments with black or white to achieve lighter, darker, or less colorful colors.

text: This means that a monochromat can see 100 different colors, a dichromat can see 10,000 different colors, a trichromat can see 1,000,000 different colors, a tetrachromat can see 100,000,000 different colors, and a pentachromat can see 10,000,000,000 different colors.

text: This means that a

text: monochromat

text: can see 100 different colors, a

text: dichromat

text: can see 10,000 different colors, a

text: trichromat

text: can see 1,000,000 different colors, a

text: tetrachromat

text: can see 100,000,000 different colors, and a

text: pentachromat

text: can see 10,000,000,000 different colors.

text: Kipp's early work in the 1950s focused on geometric, plaster reliefs and cast bronzes (see No. 1 - 1959 or Directional I). He moved on to large, geometric, welded pieces composed of post and beam elements emphasizing the vertical during the 1960s (see Andy's Cart Blanche, Muscoot or Hudson Bay). Finding it difficult to transport large, heavy, welded pieces, he turned to angled sections and sheets of steel and aluminum that could be bolted together on site. Typically the pieces were painted with bright colors and the thin edges were often defined with bright, complementary colors (see Long Distance,Chicksaw or Kobi). In the late 1970s, Kipp's steel sheets began to move into the air on thin legs (see Lockport 1977, Salute to Knowledge or Yoakum Jack).

text: Pigments are coloured chemicals (such as melanin) in animal tissues. For example, the Arctic fox has a white coat in winter (containing little pigment), and a brown coat in summer (containing more pigment). Many animals, including mammals, birds, and amphibians, are unable to synthesize most of the pigments that colour their fur or feathers, other than the brown or black melanins that give many mammals their earth tones. For example, the bright yellow of an American goldfinch, the startling orange of a juvenile red-spotted newt, the deep red of a cardinal and the pink of a flamingo are all produced by carotenoid pigments synthesized by plants. In the case of the flamingo, the bird eats pink shrimps, which are themselves unable to synthesize carotenoids. The shrimps derive their body colour from microscopic red algae, which like most plants are able to create their own pigments, including both carotenoids and (green) chlorophyll. Animals that eat green plants do not become green, however, as chlorophyll does not survive digestion.

text: Pigments are coloured chemicals (such as

text: melanin

text: ) in animal tissues. For example, the

text: Arctic fox

text: has a white coat in winter (containing little pigment), and a brown coat in summer (containing more pigment). Many animals, including

text: mammals

text: birds

text: , and

text: amphibians

text: , are unable to synthesize most of the pigments that colour their fur or feathers, other than the brown or black melanins that give many mammals their earth tones. For example, the bright yellow of an

text: American goldfinch

text: , the startling orange of a juvenile

text: red-spotted newt

text: , the deep red of a

text: cardinal

text: and the pink of a

text: flamingo

text: are all produced by

text: carotenoid

text: pigments synthesized by plants. In the case of the flamingo, the bird eats pink shrimps, which are themselves unable to synthesize carotenoids. The shrimps derive their body colour from microscopic red algae, which like most plants are able to create their own pigments, including both carotenoids and (green)

text: chlorophyll

text: . Animals that eat green plants do not become green, however, as chlorophyll does not survive digestion.

text: The arrangement of colors around the color circle is often considered to be in correspondence with the wavelengths of light, as opposed to hues, in accord with the original color circle of Isaac Newton.  Modern color circles include the purples, however, between red and violet. Color scientists and psychologists often use the additive primaries, red, green and blue; and often refer to their arrangement around a circle as a color circle as opposed to a color wheel.

text: The arrangement of colors around the color circle is often considered to be in correspondence with the

text: wavelength

text: s of

text: light

text: , as opposed to hues, in accord with the original color circle of

text: Isaac Newton

text: .  Modern color circles include the

text: purple

text: s, however, between red and violet. Color scientists and psychologists often use the

text: additive primaries

text: , red,

text: green

text: and blue; and often refer to their arrangement around a circle as a color circle as opposed to a color wheel.

text: Ibarra was also known for creating his own paper.  Creating different mottled paper grades depends on the way in which colors are deposited and manipulated. His technique consisted of preparing paper in a rubber bath which served as background. It was necessary to prepare this in one or two liters of cold water with about 50 grams of “Alquitira” rubber (Tragacanto), stirred at intervals while adding up to six liters of water as the rubber is undoing the process (which usually takes up to three days), then passing it through a filter, strainer, or cheesecloth. Once he had a proper background, he prepared the colors, which are pigments found in vegetables, and poured them into the bath, where they rushed to the bottom instead of floating as needed. The colors were mixed on a smooth surface with a creamy mass binding.  Then he would stir it with a spatula. The densities of the mixture of colors allowed him to control the colors being added (he used drops of ox gall was when he preferred a smoother finish).  If the color of the pigment was too creamy, he added contrast. Once the colors were prepared and spread, he manipulated them with sticks, needles, combs, etc., to form the drawings.

text: |-!colspan=9 style="background:#FF0000; color:#FFFFFF;"| Exhibition  |-!colspan=9 style="background:#FF0000; color:#FFFFFF;"| Non-Conference Regular Season|-!colspan=9 style="background:#FF0000; color:#FFFFFF;"| Big East Conference Regular Season|-!colspan=9 style="background:#FF0000; color:#FFFFFF;"|

entity_name: 2012 Big East Men's Basketball Tournament

text: There are three main color pigments of goldfish but some are just a reflection that reflects a color other than these three color pigments.

text: Cold open -- Color conversion filter --Color corrected fluorescent light --Color correction --Color gel --Color grading --Color rendering index --Color timer -- Colour-separation overlay -- Columbia Pictures -- Compositing -- Composition --Computer-generated imagery -- Continuity -- Continuity editing --Continuity clerk -- Cooke triplet lens --Costume design -- Costume designer --Costume drama -- Costume supervisor --Costumer -- Crafts service --Crane shot -- Crashbox --Creative Artists Agency -- Creative geography -- Cross cutting -- Cross lighting -- Cross-dressing in film and television --Cue (theatrical) -- Cult film --Cutaway--Cut in--Cutting on action

text: Cold open

text: Color conversion filter

text: Color corrected fluorescent light

text: Color correction

text: Color gel

text: Color grading

text: Color rendering index

text: Color timer

text: Colour-separation overlay

text: Columbia Pictures

text: Compositing

text: Composition

text: Computer-generated imagery

text: Continuity

text: Continuity editing

text: Continuity clerk

text: Cooke triplet lens

text: Costume design

text: Costume designer

text: Costume drama

text: Costume supervisor

text: Costumer

text: Crafts service

text: Crane shot

text: Crashbox

text: Creative Artists Agency

text: Creative geography

text: Cross cutting

text: Cross lighting

text: Cross-dressing in film and television

text: Cue (theatrical)

text: Cult film

text: Cutaway

text: Cut in

text: Cutting on action

text: Protanopes, deuteranopes, and tritanopes are dichromats; that is, they can match any color they see with some mixture of just two primary colors (whereas normally humans are trichromats and require three primary colors). These individuals normally know they have a color vision problem and it can affect their lives on a daily basis. Two percent of the male population exhibit severe difficulties distinguishing between red, orange, yellow, and green. A certain pair of colors, that seem very different to a normal viewer, appear to be the same color (or different shades of same color) for such a dichromat. The terms protanopia, deuteranopia, and tritanopia come from Greek and literally mean "inability to see (anopia) with the first (prot-), second (deuter-), or third (trit-) [cone]", respectively.

text: Protanopes, deuteranopes, and tritanopes are dichromats; that is, they can match any color they see with some mixture of just two

text: primary color

text: s (whereas normally humans are

text: trichromats

text: and require three primary colors). These individuals normally know they have a color vision problem and it can affect their lives on a daily basis. Two percent of the male population exhibit severe difficulties distinguishing between red, orange, yellow, and green. A certain pair of colors, that seem very different to a normal viewer, appear to be the same color (or different shades of same color) for such a dichromat. The terms protanopia, deuteranopia, and tritanopia come from Greek and literally mean "inability to see (anopia) with the first (prot-), second (deuter-), or third (trit-) [cone]", respectively.

text: XPS specifies a set of document layout functionality for paged, printable documents. It also has support for features such as color gradients, transparencies, CMYK color spaces, printer calibration, multiple-ink systems and print schemas. XPS supports the Windows Color System color management technology for color conversion precision across devices and higher dynamic range. It includes a software raster image processor (RIP) (downloadable separately). The print subsystem supports named colors, simplifying color definition for images transmitted to printers supporting those colors.

text: XPS specifies a set of document layout functionality for paged, printable documents. It also has support for features such as

text: color gradient

text: s,

text: transparencies

text: CMYK

text: color space

text: s,

text: printer calibration

text: , multiple-ink systems and print

text: schemas

text: . XPS supports the

text: Windows Color System

text: color management

text: technology for color conversion precision across devices and

text: higher dynamic range

text: . It includes a software

text: raster image processor (RIP)

text: (downloadable separately). The print subsystem supports

text: named colors

text: , simplifying color definition for images transmitted to printers supporting those colors.

text: Most light sources are mixtures of various wavelengths of light. Many such sources can still effectively produce a spectral color, as the eye cannot distinguish them from single-wavelength sources. For example, most computer displays reproduce the spectral color orange as a combination of red and green light; it appears orange because the red and green are mixed in the right proportions to allow the eye's cones to respond the way they do to the spectral color orange.

text: Using additive colors such as those on computer screens, it is possible to create a much brighter purple than with pigments where the mixing subtracts frequencies from the component primary colors. The equivalent color on a computer to the pigment color red-violet shown above would be this electric purple, i.e. the much brighter purple you can see reproduced on the screen of a computer. This color is pure purple conceived as computer artists conceive it, as the color on the color wheel halfway between color wheel violet and electric magenta. Thus, electric purple is the purest and brightest purple that it is possible to display on a computer screen.

text: Using additive colors such as those on computer screens, it is possible to create a much brighter purple than with pigments where the mixing subtracts frequencies from the component primary colors. The equivalent color on a computer to the pigment color red-violet shown above would be this electric purple, i.e. the much brighter purple you can see reproduced on the screen of a computer. This color is pure purple conceived as computer artists conceive it, as the color on the

text: color wheel

text: halfway between color wheel violet and electric magenta. Thus, electric purple is the purest and brightest purple that it is possible to display on a computer screen.

text: In Katan's most recent compositions, the shapes and colors of the solids intertwine, casting light and colors through matter… These works are inspired by the recent discovery of the elementary particles in the primordial fireball at time zero (the very first moments of the universe), when the infinitely small collided with the infinitely big… The power of changing lights enhances and transforms matter. Colors and shapes merge, then alternately combine and separate, and the viewer's optic nerve finishes the painting. At time zero, why are some bosons (elementary particles mediating fundamental interactions) such as photons, a.k.a. light particles, massless while others are massive? What caused this phenomenon to occur? First you enjoy a moment of peace and purity, the gentle breeze of colors and matter blowing through your mind… Then total chaos breaks out, fueled by luminous upheavals and apocalyptic visions, slowly rising and receding to finally let life emerge from the symbolic eggshells—and a new order arises. The changing colors of the LEDs shine through the translucent solids depending on the viewer's frame of mind—and creative remote control. Matter and light are the sacred essence of all creation, the founding elements of life and mankind… The brighter the signs, the deeper they echo within… Then our eyes are caught by the colors projected by LEDs through a spinning helicoid, inviting us to enter the ever-changing magnetic vortex of polar lights and their haunting mystery.

text: in their vicinity list. Also, all the nodes in the same color group as an object

text: Hue is a term describing a pure color, that is, a color not modified by tinting or shading (see below). In additive colors, hues are formed by combining two primary colors. When two primary colors are combined in equal intensities, the result is a "secondary color".

text: The word gamboge comes from gambogium, the Latin word for the pigment, which derives from Gambogia, the Latin word for Cambodia. Its first recorded use as a color name in English was in 1634.

text: The word gamboge comes from gambogium, the

text: Latin

text: word for the pigment, which derives from Gambogia, the Latin word for

text: Cambodia

text: . Its first recorded use as a color name in

text: English

text: was in 1634.

text: But, like many colors, it also had a negative association, with heat, destruction and evil. A prayer to god Isis said: "Oh Isis, protect me from all things evil and red." The ancient Egyptians began manufacturing pigments in about 4000 BC. Red ochre was widely used as a pigment for wall paintings, particularly as the skin color of men. An ivory painter's palette found inside the tomb of King Tutankhamun had small compartments with pigments of red ochre and five other colors. The Egyptians used the root of the rubia, or madder plant, to make a dye, later known as alizarin, and also used it to color white power to use as a pigment, which became known as madder lake, alizarin or alizarin crimson.

text: But, like many colors, it also had a negative association, with heat, destruction and evil. A prayer to god

text: Isis

text: said: "Oh Isis, protect me from all things evil and red." The ancient Egyptians began manufacturing pigments in about 4000 BC. Red ochre was widely used as a pigment for wall paintings, particularly as the skin color of men. An ivory painter's palette found inside the tomb of King

text: Tutankhamun

text: had small compartments with pigments of red ochre and five other colors. The Egyptians used the root of the

text: rubia

text: , or madder plant, to make a dye, later known as

text: alizarin

text: , and also used it to color white power to use as a pigment, which became known as

text: madder lake

text: , alizarin or alizarin crimson.

text: In a charge-coupled device (CCD) telecine, a white light is shined through the exposed film image onto a prism, which separates the image into the three primary colors, red, green and blue. Each beam of colored light is then projected at a different CCD, one for each color. The CCD converts the light into an electronic signal, and the telecine electronics modulate these into a video signal that can then be color graded.

text: In a

text: charge-coupled device

text: (CCD)

text: telecine

text: , a white light is shined through the exposed film image onto a

text: prism

text: , which separates the image into the three primary colors, red, green and blue. Each beam of colored light is then projected at a different CCD, one for each color. The CCD converts the light into an electronic signal, and the telecine electronics modulate these into a video signal that can then be color graded.

text: Reflectorless total stations can measure distances to any object that is reasonably light in color, up to a few hundred meters.

text: Reflectorless total stations can measure distances to any object that is reasonably light in color, up to a few hundred

text: meters

text: There are hundreds of commercially available pigments for visual artists to use and mix (in various media such as oil, watercolor, acrylic and pastel).  A common approach is to use just a limited palette of pigments (often between four and eight) that can be physically mixed to any color that the artist desires in the final work.  There are no specific set of pigments that are primary colors, the choice of pigment depends entirely on the artist's subjective preference of subject and style of art as well as material considerations like lightfastness and mixing heuristics.  Contemporary classical realists have often advocated that a limited palette of white, red, yellow and black pigment (often described as the "Zorn palette") is sufficient for compelling work.

text: investigated the non-increasing sequences of numbers  with the property that there exists a proper edge coloring of a given graph  with  edges of the first color,  edges of the first color, etc. They observed that, if a sequence  is feasible in this sense, and is greater in lexicographic order than a sequence  with the same sum, then  is also feasible. For, if  in lexicographic order, then  can be transformed into  by a sequence of steps, each of which reduces one of the numbers  by one unit and increases another later number  with  by one unit. In terms of edge colorings, starting from a coloring that realizes , each of these same steps may be performed by swapping colors  and  on a Kempe chain, a maximal path of edges that alternate between the two colors. In particular, any graph has an equitable edge coloring, an edge coloring with an optimal number of colors in which every two color classes differ in size by at most one unit.

text: investigated the non-increasing sequences of numbers  with the property that there exists a proper edge coloring of a given graph  with  edges of the first color,  edges of the first color, etc. They observed that, if a sequence  is feasible in this sense, and is greater in

text: lexicographic order

text: than a sequence  with the same sum, then  is also feasible. For, if  in lexicographic order, then  can be transformed into  by a sequence of steps, each of which reduces one of the numbers  by one unit and increases another later number  with  by one unit. In terms of edge colorings, starting from a coloring that realizes , each of these same steps may be performed by swapping colors  and  on a

text: Kempe chain

text: , a maximal path of edges that alternate between the two colors. In particular, any graph has an

text: equitable

text: edge coloring, an edge coloring with an optimal number of colors in which every two color classes differ in size by at most one unit.

text: Chemical colors are more durable properties of an external object, such as the red color of an apple. A chemical color is incomprehensible because we don't know its cause. Its appearance is only known from experience and it is not an essential part of the object. Chemical colors result from changes in an object's surface. A slight change in the surface may result in a different color. Color, therefore, is not an essential property of an object. This confirms the subjective nature of color.

text: The conventional color descriptions are traditional in astronomy, and represent colors relative to the mean color of an A-class star, which is considered to be white. The apparent color descriptions are what the observer would see if trying to describe the stars under a dark sky without aid to the eye, or with binoculars. However, most stars in the sky, except the brightest ones, appear white or bluish white to the unaided eye because they are too dim for color vision to work. Red supergiants are cooler and redder than dwarfs of the same spectral type, and stars with particular spectral features such as carbon stars may be far redder than any black body.

text: Han purple in its pure form is actually a dark blue, that is close to electric indigo. It is a purple in the way the term is used in colloquial English, i.e., it is a color between red and blue. It is not, however, a purple in the way the term is used in color theory, i.e. a nonspectral color between red and violet on the 'line of purples' on the CIE chromaticity diagram. Perhaps the most accurate designation for the color would be to call it 'Han indigo', although it could also be regarded as a bright shade of ultramarine (classifying ultramarine as a color and not a pigment).

text: Han purple in its pure form is actually a dark blue, that is close to

text: electric indigo

text: . It is a

text: purple

text: in the way the term is used in

text: colloquial

text: English

text: , i.e., it is a color between

text: red

text: and

text: blue

text: . It is not, however, a purple in the way the term is used in

text: color theory

text: , i.e. a

text: nonspectral color

text: between

text: red

text: and

text: violet

text: on the 'line of purples' on the

entity_section: CIE xy chromaticity diagram and the CIE xyY color space

text: CIE chromaticity diagram

text: . Perhaps the most accurate designation for the color would be to call it 'Han indigo', although it could also be regarded as a bright shade of

text: ultramarine

text: (classifying ultramarine as a color and not a pigment).

text: The color opponent process is a color theory that states that the human visual system interprets information about color by processing signals from cones and rods in an antagonistic manner.  The three types of cones (L for long, M for medium and S for short) have some overlap in the wavelengths of light to which they respond, so it is more efficient for the visual system to record differences between the responses of cones, rather than each type of cone's individual response. The opponent color theory suggests that there are three opponent channels: red versus green, blue versus yellow, and black versus white (the last type is achromatic and detects light-dark variation, or luminance). Responses to one color of an opponent channel are antagonistic to those to the other color.  That is, opposite opponent colors are never perceived together – there is no "greenish red" or "yellowish blue".

text: The color opponent process is a color theory that states that the human

text: visual system

text: interprets information about

text: color

text: by processing signals from

text: cones

text: and

text: rods

text: in an antagonistic manner.  The three types of cones (L for long, M for medium and S for short) have some overlap in the

text: wavelength

text: s of

text: light

text: to which they respond, so it is more efficient for the visual system to record differences between the responses of cones, rather than each type of cone's individual response. The opponent color theory suggests that there are three opponent channels:

text: red

text: versus

text: green

text: blue

text: versus

text: yellow

text: , and

text: black

text: versus

text: white

text: (the last type is

text: achromatic

text: and detects light-dark variation, or

text: luminance

text: ). Responses to one color of an opponent channel are antagonistic to those to the other color.  That is, opposite opponent colors are never perceived together – there is no "greenish red" or "yellowish blue".

text: ChromaFlair paints contain no conventional absorbing pigments; rather, the pigment is a light interference pigment. The color observed is created entirely by the refractive properties of the flakes, analogous to the perception of rainbow colors in oil slicks.

text: ChromaFlair paints contain no conventional absorbing

text: pigment

text: s; rather, the pigment is a

text: light interference pigment

text: . The color observed is created entirely by the refractive properties of the flakes, analogous to the perception of rainbow colors in

text: oil slick

text: s.

text: Developers are depicted as floating objects moving across the tree. They are active or disabled based on the activity of the user. Objects are shown active near the files that are being modified by the users. When a user performs a change to a file, it is depicted as a colored beam. The color is decided on the type of the changes that are being performed on the files such as color green when an add operation is being performed, color orange when files are being modified and color red when users are deleting the files.

text: Violet colors composed by mixing blue and red light are within the purple colors (the word "purple" is used in the common sense for any color between blue and red). In color theory, a purple is a color along the line of purples on the CIE chromaticity diagram and excludes violet. Violet light from the rainbow, which can be referred as spectral violet, has only short wavelengths.

text: Violet colors composed by mixing blue and red light are within the purple colors (the word "purple" is used in the common sense for any color between blue and red). In

text: color theory

text: , a purple is a color along the

text: line of purples

text: on the

text: CIE chromaticity diagram

text: and excludes violet. Violet light from the

text: rainbow

text: , which can be referred as spectral violet, has only short wavelengths.

text: There are three different colors of gems that appear in the game; red, green, and blue. Stages will always specify how many of each color you must gather. Sometimes the gems are already present when the mission starts, but at other times a player must manufacture them. This is done with rocks. When a rock is dropped on a certain object, both the rock and the object will be destroyed and up to four gems will form. If there are walls or other objects right next to where the rock makes contact, it will prevent one gem from forming there. Placing a rock on a Troddler (including zombies) will result in red gems. Sometimes a mission will require you to rescue only a few Troddlers, thus leaving a few spare victims if you are required to create some red gems. Hurling a rock onto another rock results in the formation of green gems. When a non-Troddler enemy is plunked with a rock, blue gems appear.

text: Color vision is the ability of an organism or machine to distinguish objects based on the wavelengths (or frequencies) of the light they reflect, emit, or transmit. Colors can be measured and quantified in various ways; indeed, a person's perception of colors is a subjective process whereby the brain responds to the stimuli that are produced when incoming light reacts with the several types of cone cells in the eye. In essence, different people see the same illuminated object or light source in different ways.

text: Color vision is the ability of an organism or machine to distinguish objects based on the

text: wavelength

text: s (or

text: frequencies

text: ) of the

text: light

text: they

text: reflect

text: emit

text: , or

text: transmit

text: Color

text: s can be measured and quantified in various ways; indeed, a person's perception of colors is a subjective process whereby the

text: brain

text: responds to the stimuli that are produced when incoming light reacts with the several types of

text: cone cell

text: s in the

text: eye

text: . In essence, different people see the same illuminated object or light source in different ways.

text: For example, in order to meet the expectations for good color rendering in retail applications, research suggests using the well-established CRI along with another metric called gamut area index (GAI). GAI represents the relative separation of object colors illuminated by a light source; the greater the GAI, the greater the apparent saturation or vividness of the object colors. As a result, light sources which balance both CRI and GAI are generally preferred over ones that have only high CRI or only high GAI.

text: Coloris sees players eliminating colored squares by altering the color of other squares to make them the same color as the squares nearby.

text: |-!colspan=8 style="background:#56A0D3; color:#FFFFFF;"| Spring Game|-!colspan=8 style="background:#56A0D3; color:#FFFFFF;"| Regular Season|-!colspan=8 style="background:#56A0D3; color:#FFFFFF;"| Bowl Game

text: There are two cases: in the trivial case, one of the three prisoners wears the single off-color hat. Each of the other two prisoners can see that one prisoner is wearing the off-color hat.In the non-trivial case, the three prisoners wear hats of the same color, while D wears the off-color hat.After a while, all three prisoners should be able to deduce that, because neither of the others was able to state the color of his own hat, D must wear the off-color hat.

text: Newton's own color circle has yellow directly opposite the boundary between indigo and violet. These results, that the complement of yellow is a wavelength shorter than 450 nm, are derivable from the modern CIE 1931 system of colorimetry if it is assumed that the yellow is about 580 nm or shorter wavelength, and the specified white is the color of a blackbody radiator of temperature 2800 K or lower (that is, the white of an ordinary incandescent light bulb). More typically, with a daylight-colored or around 5000 to 6000 K white, the complement of yellow will be in the blue wavelength range, which is the standard modern answer for the complement of yellow.

text: Newton's own color circle has yellow directly opposite the boundary between indigo and violet. These results, that the complement of yellow is a wavelength shorter than 450 nm, are derivable from the modern

text: CIE 1931

text: system of colorimetry if it is assumed that the yellow is about 580 nm or shorter wavelength, and the specified white is the color of a blackbody radiator of temperature 2800

text: K

text: or lower (that is, the white of an ordinary incandescent light bulb). More typically, with a daylight-colored or around 5000 to 6000 K white, the complement of yellow will be in the blue wavelength range, which is the standard modern answer for the complement of yellow.

text: As a color of low intensity, brown is a tertiary color: a mix of the three subtractive primary colors is brown if the cyan content is low. Brown exists as a color perception only in the presence of a brighter color contrast. Yellow, orange, red, or rose objects are still perceived as such if the general illumination level is low, despite reflecting the same amount of red or orange light as a brown object would in normal lighting conditions.

text: As a color of low intensity, brown is a

text: tertiary color

text: : a mix of the three subtractive

text: primary color

text: s is brown if the

text: cyan

text: content is low. Brown exists as a color perception only in the presence of a brighter color contrast. Yellow, orange, red, or rose objects are still perceived as such if the general illumination level is low, despite reflecting the same amount of red or orange light as a brown object would in normal lighting conditions.

text: The Rec. 2020 (UHDTV/UHD-1/UHD-2) color space can reproduce colors that can not be shown with the Rec. 709 (HDTV) color space. The RGB primaries used by Rec. 2020 are equivalent to monochromatic light sources on the CIE 1931 spectral locus. The wavelength of the Rec. 2020 primary colors is 630 nm for the red primary color, 532 nm for the green primary color, and 467 nm for the blue primary color. In coverage of the CIE 1931 color space the Rec. 2020 color space covers 75.8%, the digital cinema reference projector color space covers 53.6%, the Adobe RGB color space covers 52.1%, and the Rec. 709 color space covers 35.9%.

text: The Rec. 2020 (UHDTV/UHD-1/UHD-2) color space can reproduce colors that can not be shown with the

text: Rec. 709

text: (HDTV) color space. The RGB primaries used by Rec. 2020 are equivalent to monochromatic light sources on the

text: CIE 1931 spectral locus

text: . The

text: wavelength

text: of the Rec. 2020

text: primary color

text: s is 630

text: nm

text: for the red primary color, 532 nm for the green primary color, and 467 nm for the blue primary color. In coverage of the

text: CIE 1931 color space

text: the Rec. 2020 color space covers 75.8%, the

text: digital cinema

text: reference projector color space covers 53.6%, the

text: Adobe RGB color space

text: covers 52.1%, and the Rec. 709 color space covers 35.9%.

text: The breed standards of various cat fancier organizations may treat the Himalayan and Exotic Shorthair (or simply Exotic) as variants of the Persian, or as separate breeds.  The Cat Fanciers' Association (CFA) treats the Himalayan as a color-pattern class of both the Persian and the Exotic, which have separate but nearly identical standards (differing in coat length). The Fédération Internationale Féline (FIFe) entirely subsumes what other registries call the Himalayan as simply among the allowed coloration patterns for the Persian and the Exotic, treated as separate breeds. The International Cat Association (TICA) treats them both as variants of the Persian.  The World Cat Federation (WCF) treats the Persian and Exotic Shorthair as separate breeds, and subsumes the Himalayan coloration as colorpoint varieties under each.

text: The

text: breed standard

text: s of various cat fancier organizations may treat the Himalayan and Exotic Shorthair (or simply Exotic) as variants of the Persian, or as separate breeds.  The Cat Fanciers' Association (CFA) treats the Himalayan as a color-pattern class of both the Persian and the Exotic, which have separate but nearly identical standards (differing in coat length). The

text: Fédération Internationale Féline

text: (FIFe) entirely subsumes what other registries call the Himalayan as simply among the allowed coloration patterns for the Persian and the Exotic, treated as separate breeds. The International Cat Association (TICA) treats them both as variants of the Persian.  The

text: World Cat Federation

text: (WCF) treats the Persian and Exotic Shorthair as separate breeds, and subsumes the Himalayan coloration as colorpoint varieties under each.

text: Rhodoxanthin is a xanthophyll pigment with a purple color that is found in small quantities in a variety of plants including Taxus baccata.  It is also found in the feathers of some birds.  As a food additive it is used under the E number E161f as a food coloring; it is not approved for use in the EU or USA however is approved in Australia and New Zealand (where it is listed under its INS number 161f).

text: Rhodoxanthin is a

text: xanthophyll

text: pigment

text: with a purple color that is found in small quantities in a variety of plants including

text: Taxus baccata

text: .  It is also found in the feathers of some birds.  As a

text: food additive

text: it is used under the

text: E number

text: E161f as a

text: food coloring

text: ; it is not approved for use in the EU or USA however is approved in Australia and New Zealand (where it is listed under its INS number 161f).

text: |- style="background-color:#ffbbbb"| 1 || April 2 || @ Brewers || 7 – 1 || Sheets (1-0) || Lowe (0-1) || || 45,341 || 0-1|- style="background-color:#ffbbbb"| 2 || April 3 || @ Brewers || 4 – 3 || Shouse (1-0) || Wolf (0-1) || Cordero (1) || 22,603 || 0-2|- style="background-color:#bbffbb"| 3 || April 4 || @ Brewers || 5 – 4 || Schmidt (1-0) || Suppan (0-1) || Saito (1) || 23,649 || 1-2|- style="background-color:#bbffbb"| 4 || April 6 || @ Giants || 2 – 1 || Penny (1-0) ||  Lowry (0-1) || Saito (2) || 43,146 || 2-2|- style="background-color:#bbffbb"| 5 || April 7 || @ Giants || 4 – 1 || Lowe (1-1) || Ortiz (0-1) || Saito (3) || 42,098 || 3-2|- style="background-color:#bbffbb"| 6 || April 8 || @ Giants || 10 – 4 || Wolf (1-1) || Zito (0-2) || || 39,343 || 4-2|- style="background-color:#ffbbbb"| 7 || April 9 || Rockies || 6 – 3 || Francis (1-0) || Schmidt (1-1) || || 56,000 || 4-3|- style="background-color:#bbffbb"| 8 || April 10 || Rockies || 2 – 1 || Beimel (1-0) || Kim (1-1) || Saito (4) || 40,560 || 5-3|- style="background-color:#bbffbb"| 9 || April 11 || Rockies || 3 – 0 || Penny (2-0) || Hirsh (1-1) || Saito (5) || 35,852 || 6-3|- style="background-color:#bbffbb"| 10 || April 13 || Padres || 9 – 1 || Lowe (2-1) || Wells (0-1) || || 49,090 || 7-3|- style="background-color:#ffbbbb"| 11 || April 14 || Padres || 7 – 4 || Peavy (2-0) || Schmidt (1-2) || || 55,942 || 7-4|- style="background-color:#bbffbb"| 12 || April 15 || Padres || 9 – 3 || Wolf (2-1) || Young (1-1) || || 55,298 || 8-4|- style="background-color:#bbffbb"| 13 || April 16 || @ D-backs || 5 – 1 || Penny (3-0) || González (1-1) || || 27,427 || 9-4|- style="background-color:#bbffbb"| 14 || April 17 || @ D-backs || 6 – 4 || Billingsley (1-0) || Peña (0-1) || Saito (6) || 25,735 || 10-4|- style="background-color:#ffbbbb"| 15 || April 18 || @ Rockies || 7 – 2 || Buchholz (1-0) || Lowe (2-2)|| || 20,366 || 10-5|- style="background-color:#bbffbb"| 16 || April 19 || @ Rockies || 8 – 1 || Hendrickson (1-0) || Cook (0-1) || || 19,135 || 11-5|- style="background-color:#bbffbb"| 17 || April 20 || Pirates || 10 – 2 || Wolf (3-1) || Armas (0-2) || || 43,845 || 12-5|- style="background-color:#bbffbb"| 18 || April 21 || Pirates || 7 – 3 (10) || Broxton (1-0) || Bayliss (1-1) || || 48,995 || 13-5|- style="background-color:#ffbbbb"| 19 || April 22 || Pirates || 7 – 5 || Gorzelanny (3-0) || Tomko (0-1) || Torres (6) || 46,741 || 13-6|- style="background-color:#ffbbbb"| 20 || April 24 || Giants || 5 – 3 || Morris (3-0) || Lowe (2-3) || Benítez (5) || 44,001 || 13-7|- style="background-color:#ffbbbb"| 21 || April 25 || Giants || 6 – 4 || Lowry (2-2) || Wolf (3-2) || Benítez (6) || 43,963 || 13-8|- style="background-color:#ffbbbb"| 22 || April 26 || Giants || 5 – 4 || Correia (1-1) || Beimel (1-1) || Benítez (7) || 56,000 || 13-9|- style="background-color:#bbffbb"| 23 || April 27 || @ Padres || 6 – 5 || Seánez (1-0) || Hoffman (1-2) || Saito (7) || 44,035 || 14-9|- style="background-color:#ffbbbb"| 24 || April 28 || @ Padres || 3 – 2 || Maddux (2-2) || Tomko (0-2) || Hoffman (5) || 42,385 || 14-10|- style="background-color:#bbffbb"| 25 || April 29 || @ Padres || 5 – 4 (17) || Billingsley (1-0) || Hampson (0-1) || || 44,028 || 15-10|- style="background-color:#ffbbbb"| 26 || April 30 || D-backs || 9 – 1 || Webb (2-1) || Wolf (3-3) || || 53,126 || 15-11|- style="background-color:#bbffbb"| 27 || May 1 || D-backs || 2 – 1 || Saito (1-0) || Lyon (2-1) || || 36,029 || 16-11|- style="background-color:#bbffbb"| 28 || May 2 || D-backs || 2 – 1 || Hendrickson (2-0) || Davis (2-3) || Saito (8) || 34,825  || 17-11|- style="background-color:#ffbbbb"| 29 || May 4 || @ Braves || 4 – 0 || Smoltz (4-1) || Tomko (0-3) || || 38,263 || 17-12|- style="background-color:#bbffbb"| 30 || May 5 || @ Braves || 6 – 3 || Lowe (3-3) || Hudson (3-1) || Saito (9) || 42,786 || 18-12|- style="background-color:#ffbbbb"| 31 || May 6 || @ Braves || 6 – 4 || Paronto (2-0) || Tsao (0-1) || González (1) || 33,350 || 18-13|- style="background-color:#bbffbb"| 32 || May 7 || @ Marlins || 6 – 1 || Penny (4-0) || Nolasco (1-1) || || 12,252 || 19-13|- style="background-color:#ffbbbb"| 33 || May 8 || @ Marlins || 6 – 5 || Owens (2-0) || Broxton (1-1) || || 11,124 || 19-14|- style="background-color:#bbffbb"| 34 || May 9 || @ Marlins || 5 – 3 || Tomko (1-3) || Willis (5-2) || Saito (10) || 12,213 || 20-14|- style="background-color:#ffbbbb"| 35 || May 10 || @ Marlins || 3 – 0 || Tankersley (2-0) || Lowe (3-4) || || 20,345 || 20-15|- style="background-color:#bbffbb"| 36 || May 11 || Reds || 2 – 0 || Wolf (4-3) || Arroyo (2-3) || Saito (11) || 49,588 || 21-15|- style="background-color:#bbffbb"| 37 || May 12 || Reds || 7 – 3 || Penny (5-0) || Lohse (1-4)  || || 51,776 || 22-15|- style="background-color:#bbffbb"| 38 || May 13 || Reds || 10 – 5 || Broxton (2-1) || Saarloos (0-3) || || 41,399 || 23-15|- style="background-color:#ffbbbb"| 39 || May 14 || Cardinals || 8 – 4 || Thompson (2-0) || Tomko (1-4) || Isringhausen (10) || 35,707 || 23-16|- style="background-color:#bbffbb"| 40 || May 15 || Cardinals || 9 – 7 || Lowe (4-4) || Wainwright (3-3) || Saito (12) || 38,954 || 24-16|- style="background-color:#bbffbb"| 41 || May 16 || Cardinals || 5 – 4 || Wolf (5-3) || Wells (1-8) || Saito (13) || 38,252 || 25-16|- style="background-color:#ffbbbb"| 42 || May 18 || @ Angels || 9 – 1 || Santana (3-5) || Penny (5-1) || || 44,342 || 25-17|- style="background-color:#ffbbbb"| 43 || May 19 || @ Angels || 6 – 2 || Weaver (3-3) || Hendrickson (2-1) || || 44,380 || 25-18|- style="background-color:#ffbbbb"| 44 || May 20 || @ Angels || 4 – 1 || Escobar (5-2) || Lowe (4-5) || Rodríguez (13) || 44,301 || 25-19|- style="background-color:#ffbbbb"| 45 || May 21 || Brewers || 9 – 5 || Suppan (6-4) || Tomko (1-5) || || 33,446 || 25-20|- style="background-color:#bbffbb"| 46 || May 22 || Brewers || 3 – 2 || Wolf (6-3) || Sheets (4-3) || Saito (14) || 33,552 || 26-20|- style="background-color:#bbffbb"| 47 || May 23 || Brewers || 5 – 1 || Penny (6-1) || Capuano (5-3) || || 35,609 || 27-20|- style="background-color:#bbffbb"| 48 || May 25 || Cubs || 9 – 8 || Seánez (2-0) || Ohman (0-2) || Saito (15) || 46,011 || 28-20|- style="background-color:#ffbbbb"| 49 || May 26 || Cubs || 4 – 2 || Zambrano (5-4) || Hendrickson (2-2) || Dempster (11) || 48,243 || 28-21|- style="background-color:#bbffbb"| 50 || May 27 || Cubs || 2 – 1 (11) || Billingsley (3-0) || Guzmán (0-1) || || 51,198 || 29-21|- style="background-color:#bbffbb"| 51 || May 29 || @ Nationals || 10 – 0 || Penny (7-1) || Simontacchi (2-3) || || 18,483 || 30-21|- style="background-color:#bbffbb"| 52 || May 30 || @ Nationals || 5 – 0 || Lowe (5-5) || Bacsik (1-1) || || 22,360 || 31-21|- style="background-color:#ffbbbb"| 53 || May 31 || @ Nationals || 11 – 4 || Bowie (2-2) || Hendrickson (2-3) || || 20,982 || 31-22|- style="background-color:#bbffbb"| 54 || June 1 || @ Pirates || 5 – 4 || Wolf (7-3) || Duke (2-6) || Saito (16) || 20,164 || 32-22|- style="background-color:#ffbbbb"| 55 || June 2 || @ Pirates || 3 – 1 || Snell (5-4) || Kuo (0-1) || Capps (1) || 31,931 || 32-23|- style="background-color:#bbffbb"| 56 || June 3 || @ Pirates || 5 – 4 || Billingsley (4-0) || Torres (0-2) || Beimel (1) || 23,458 || 33-23|- style="background-color:#bbffbb"| 57 || June 4 || @ Pirates || 6 – 5 || Lowe (6-5) || Maholm (2-8) || Broxton (1) || 15,836 || 34-23|- style="background-color:#ffbbbb"| 58 || June 5 || @ Padres || 1 – 0 || Linebrink (2-1) || Seánez (2-1) || Hoffman (17) || 31,703 || 34-24|- style="background-color:#ffbbbb"| 59 || June 6 || @ Padres || 5 – 2 || Maddux (5-3) || Wolf (7-4) || Hoffman (18) || 31,541 || 34-25|- style="background-color:#ffbbbb"| 60 || June 7 || @ Padres || 6 – 5 || Hampson (2-1) || Broxton (2-2) || || 40,631 || 34-26|- style="background-color:#bbffbb"| 61 || June 8 || Blue Jays || 4 – 3 (10)|| Seánez (3-1) || Accardo (1-2) || || 52,173 || 35-26|- style="background-color:#ffbbbb"| 62 || June 9 || Blue Jays || 1 – 0 || Marcum (3-2) || Lowe (6-6) || Janssen (3) || 51,057 || 35-27|- style="background-color:#ffbbbb"| 63 || June 10 || Blue Jays || 11 – 5 || Halladay (6-2) || Schmidt (1-3) || || 50,183 || 35-28|- style="background-color:#bbffbb"| 64 || June 11 || Mets || 5 – 3 || Wolf (8-4) || Hernández (3-2) || Saito (17) || 40,467 || 36-28|- style="background-color:#bbffbb"| 65 || June 12 || Mets || 4 – 1 || Kuo (1-1) || Maine (6-4) || Saito (18) || 42,438 || 37-28|- style="background-color:#bbffbb"| 66 || June 13 || Mets || 9 – 1 || Penny (8-1) || Sosa (6-2) || || 46,894 || 38-28|- style="background-color:#bbffbb"| 67 || June 15 || Angels || 2 – 1 || Lowe (7-6) || Santana (5-7) || Saito (19) || 56,000 || 39-28|- style="background-color:#ffbbbb"| 68 || June 16 || Angels || 3 – 0 || Weaver (6-3) || Schmidt (1-4) || Rodríguez (22) || 56,000 || 39-29|- style="background-color:#ffbbbb"| 69 || June 17 || Angels || 10 – 4 || Escobar (8-3) || Wolf (8-5) || || 56,000 || 39-30|- style="background-color:#bbffbb"| 70 || June 19 || @ Blue Jays || 10 – 1 || Penny (9-1) || McGowan (3-3) || || 22,763 || 40-30|- style="background-color:#ffbbbb"| 71 || June 20 || @ Blue Jays || 12 – 1 || Halladay (8-2) || Kuo (1-2) || || 24,413 || 40-31|- style="background-color:#bbffbb"| 72 || June 21 || @ Blue Jays || 8 – 4 || Seánez (4-1) || Janssen (2-1) || || 25,265 || 41-31|- style="background-color:#bbffbb"| 73 || June 22 || @ Devil Rays || 6 – 3 || Lowe (8-6) || Sonnanstine (1-2) || Saito (20) || 14,961 || 42-31|- style="background-color:#ffbbbb"| 74 || June 23 || @ Devil Rays || 4 – 3 || Fossum (5-6) || Wolf (8-6) || Reyes (17) || 24,068 || 42-32|- style="background-color:#ffbbbb"| 75 || June 24 || @ Devil Rays || 9 – 4 || Jackson (1-8) || Kuo (1-3) || || 18,248 || 42-33|- style="background-color:#bbffbb"| 76 || June 25 || @ D-backs || 8 – 1 || Penny (10-1) || Owings (5-2) || || 24,966 || 43-33|- style="background-color:#bbffbb"| 77 || June 26 || @ D-backs || 6 – 5 (10)|| Broxton (3-2) ||  Slaten (3-1) || Saito (21) || 28,734 || 44-33|- style="background-color:#ffbbbb"| 78 || June 27 || @ D-backs || 2 – 0 || Webb (8-4) || Lowe (8-7) || Valverde (25) || 26,867 || 44-34|- style="background-color:#bbffbb"| 79 || June 28 || @ D-backs || 9 – 5 || Wolf (9-6) || Johnson (3-4) || Saito (22) || 26,526 || 45-34|- style="background-color:#ffbbbb"| 80 || June 29 || Padres || 7 – 6 || Young (8-3) || Kuo (1-4) || Hoffman (22) || 52,050 || 45-35|- style="background-color:#ffbbbb"| 81 || June 30 || Padres || 3 – 1 (12)|| Ring (1-0) || Tomko (1-6) || Hoffman (23) || 53,769 || 45-36|- style="background-color:#bbffbb"| 82 || July 1 || Padres || 5 – 0 || Billingsley (5-0) || Germano (5-2) || || 48,632 || 46-36|- style="background-color:#bbffbb"| 83 || July 2 || Braves || 8 – 2 || Beimel (2-1) || Smoltz (9-5) || || 40,571 || 47-36|- style="background-color:#bbffbb"| 84 || July 3 || Braves || 7 – 6 || Seánez (5-1) || Ledezma (0-1) || Saito (23) || 43,052 || 48-36|- style="background-color:#ffbbbb"| 85 || July 4 || Braves || 5 – 2 || James (8-7) || Hendrickson (2-4) || Wickman (15) || 56,000 || 48-37|- style="background-color:#ffbbbb"| 86 || July 5 || Braves || 8 – 6 || Moylan (3-1) || Stults (0-1) || Wickman (16) || 41,052 || 48-38|- style="background-color:#ffbbbb"| 87 || July 6 || Marlins || 6 – 5 (10) || Pinto (1-3) || Tomko (1-7) || Gregg (18) || 51,050 || 48-39|- style="background-color:#ffbbbb"| 88 || July 7 || Marlins || 7 – 2 || Mitre (3-4) || Lowe (8-8) || || 46,177 || 48-40|- style="background-color:#bbffbb"| 89 || July 8 || Marlins || 9 – 3 || Hendrickson (3-4) || Olsen (6-7) || || 44,021 || 49-40|- style="background-color:#bbffbb"| 90 || July 13 || @ Giants || 9 – 1 || Billingsley (6-0) || Cain (3-10) || || 43,230 || 50-40|- style="background-color:#bbffbb"| 91 || July 14 || @ Giants || 8 – 7 (12) || Hendrickson (4-4) || Misch (0-1) || Seánez (1) || 43,452 || 51-40|- style="background-color:#bbffbb"| 92 || July 15 || @ Giants || 5 – 3 || Tomko (2-7) || Lowry (9-7) || Saito (24) || 43,446 || 52-40|- style="background-color:#bbffbb"| 93 || July 16 || Phillies || 10 – 3 || Penny (11-1) || Moyer (7-8) || || 41,458 || 53-40|- style="background-color:#ffbbbb"| 94 || July 17 || Phillies || 15 – 3 || Durbin (1-2) || Hendrickson (4-5) || || 45,074 || 53-41|- style="background-color:#bbffbb"| 95 || July 18 || Phillies || 5 – 4 || Seánez (6-1) || Kendrick (4-1) || Saito (25) || 47,114 || 54-41|- style="background-color:#ffbbbb"| 96 || July 19 || Mets || 13 – 9 || Sele (3-0) || Lowe (8-9) || || 51,651 || 54-42|- style="background-color:#ffbbbb"| 97 || July 20 || Mets || 4 – 1 || Pérez (9-6) || Hernández (3-2) || Wagner (21) || 52,103 || 54-43|- style="background-color:#bbffbb"| 98 || July 21 || Mets || 8 – 6 || Penny (12-1) || Sosa (7-5) || Broxton (2) || 49,124 || 55-43|- style="background-color:#ffbbbb"| 99 || July 22 || Mets || 5 – 4 (10) || Feliciano (2-1) || Houlton (0-1) || Wagner (22) || 49,092 || 55-44|- style="background-color:#bbffbb"| 100 || July 23 || @ Astros || 10 – 2 || Billingsley (7-0) || Sampson (7-7) || || 38,245 || 56-44|- style="background-color:#ffbbbb"| 101 || July 24 || @ Astros || 7 – 4 || Jennings(2-6) || Seánez (6-2) || Lidge (4)|| 38,247 || 56-45|- style="background-color:#ffbbbb"| 102 || July 25 || @ Astros || 2 – 1 || Qualls (6-3) || Houlton (0-2) || Lidge (5)|| 31,498 || 56-46|- style="background-color:#bbffbb"| 103 || July 26 || @ Rockies || 5 – 4 || Penny (13-1) || López (5-4) || Saito (26) || 49,124 || 57-46|- style="background-color:#bbbbbb"| -- || July 27 || @ Rockies || colspan=5|Postponed (rain) Rescheduled for September 18 || 57-46|- style="background-color:#ffbbbb"| 104 || July 28 || @ Rockies || 6 – 2 || Francis (11-5) || Tomko (2-8) || || 46,039 || 57-47|- style="background-color:#ffbbbb"| 105 || July 29 || @ Rockies || 9 – 6 || Jiménez (1-0) || Billingsley (7-1) || Corpas (6) || 38,167 || 57-48|- style="background-color:#ffbbbb"| 106 || July 31 || Giants || 3 – 1 || Lowry (12-7) || Penny (13-2) || Hennessey (9) || 56,000 || 57-49|- style="background-color:#bbffbb"| 107 || August 1 || Giants || 6 – 8 || Broxton (4-2) || Messenger (1-3) || Saito (27) || 56,000 || 58-49|- style="background-color:#ffbbbb"| 108 || August 2 || Giants || 4 – 2 || Zito (8-10) || Tomko (2-9) || Kline (2) || 56,000 || 58-50|- style="background-color:#ffbbbb"| 109 || August 3 || D-backs || 1 – 0 || Davis (8-10) || Billingsley (7-2) || Valverde (32) || 51,582 || 58-51|- style="background-color:#ffbbbb"| 110 || August 4 || D-backs || 8 – 7 || Hernández (7-7) ||  Lowe (8-10) || Valverde (33) || 52,921 || 58-52|- style="background-color:#ffbbbb"| 111 || August 5 || D-backs || 3 – 0 || Webb (11-8) || Penny (13-3) || || 48,803 || 58-53|- style="background-color:#ffbbbb"| 112 || August 7 || @ Reds || 4 – 0 || Arroyo (5-12) || Hendrickson (4-6) || || 22,057 || 58-54|- style="background-color:#ffbbbb"| 113 || August 8 || @ Reds || 1 – 0 || Harang (11-3) || Billingsley (7-3) || Weathers (22) || 20,462 || 58-55|- style="background-color:#bbffbb"| 114 || August 9 || @ Reds || 5 – 4 (11) || Proctor (3-5) || Santos (1-4) || Saito (28) || 25,965 || 59-55|- style="background-color:#bbffbb"| 115 || August 10 || @ Cardinals || 2 – 1 || Beimel (3-1) || Wainwright (10-9) || Saito (29) || 44,595 || 60-55|- style="background-color:#ffbbbb"| 116 || August 11 || @ Cardinals || 6 – 1 || Looper (10-9) || Lowe (8-11) || || 44,260 || 60-56|- style="background-color:#ffbbbb"| 117 || August 12 || @ Cardinals || 12 – 2 || Reyes (2-11) || Hendrickson (4-7) || || 45,379 || 60-57|- style="background-color:#ffbbbb"| 118 || August 13 || Astros || 4 – 1 || Oswalt (13-6) || Billingsley (7-4) || Qualls (3) || 49,511 || 60-58|- style="background-color:#ffbbbb"| 119 || August 14 || Astros || 7 – 4 || Albers (3-5) || Tomko (2-10) || Lidge (9) || 49,399 || 60-59|- style="background-color:#bbffbb"| 120 || August 15 || Astros || 6 – 3 || Penny (14-3) || Jennings (2-8) || Saito (30) || 49,098 || 61-59|- style="background-color:#bbffbb"| 121 || August 16 || Astros || 6 – 2 || Lowe (9-11) || Rodríguez (7-11) || Saito (31) || 48,128 || 62-59|- style="background-color:#bbffbb"| 122 || August 17 || Rockies || 6 – 4 || Stults (1-1) || Fogg (7-8) || Saito (32) || 48,072 || 63-59|- style="background-color:#ffbbbb"| 123 || August 18 || Rockies || 7 – 4 (14) || Herges (2-0) || Hernández (3-3) || Corpas (11) || 52,508 || 63-60|- style="background-color:#bbffbb"| 124 || August 19 || Rockies || 4 – 3 || Proctor (4-5) || Julio (0-4) || Saito (33) || 48,732 || 64-60|- style="background-color:#ffbbbb"| 125 || August 21 || @ Phillies || 5 – 4 || Kendrick (6-3) || Tomko (2-11) || Myers (12) || 35,326 || 64-61|- style="background-color:#bbffbb"| 126 || August 22 || @ Phillies || 15 – 3 || Lowe (10-11) || Durbin (5-3) ||  || 37,321 || 65-61|- style="background-color:#bbffbb"| 127 || August 23 || @ Phillies || 5 – 2 || Billingsley (8-4) || Romero (1-2) || Saito (34) || 37,875 || 66-61|- style="background-color:#ffbbbb"| 128 || August 24 || @ Mets || 5 – 2 || Pérez (12-8) || Penny (14-4) || || 53,250 || 66-62|- style="background-color:#ffbbbb"| 129 || August 25 || @ Mets || 4 – 3 || Hernández (9-4) || Stults (1-2) || Heilman (1) || 52,655 || 66-63|- style="background-color:#bbffbb"| 130 || August 26 || @ Mets || 6 – 2 || Wells (6-8) || Maine (13-8) || || 49,234 || 67-63|- style="background-color:#bbffbb"| 131 || August 27 || Nationals || 5 – 4 || Lowe (11-11) || Bacsik (5-8) || Saito (35) || 46,944 || 68-63|- style="background-color:#bbffbb"| 132 || August 28 || Nationals || 4 – 3 || Billingsley (9-4) || Schroder (1-1) || Saito (36) || 49,698 || 69-63|- style="background-color:#bbffbb"| 133 || August 29 || Nationals || 10 – 9 (12) || Proctor (5-5) || Rivera (4-5) || || 41,913 || 70-63|- style="background-color:#ffbbbb"| 134 || August 31 || @ Padres || 6 – 4 || Brocail (5-1) || Seánez (6-3) || Hoffman (36) || 44,324 || 70-64|- style="background-color:#ffbbbb"| 135 || September 1 || @ Padres || 7 – 0 || Peavy (16-5) || Lowe (11-12) ||  || 42,605 || 70-65|- style="background-color:#bbffbb"| 136 || September 2 || @ Padres || 5 – 0 || Billingsley (10-4) || Germano (7-8) || || 40,776 || 71-65|- style="background-color:#bbffbb"| 137 || September 3 || @ Cubs || 11 – 3 || Loaiza (2-0) || Zambrano (14-12) || || 41,070 || 72-65|- style="background-color:#bbffbb"| 138 || September 4 || @ Cubs || 6 – 2 || Penny (15-4) || Trachsel (6-9) || || 37,834 || 73-65|- style="background-color:#ffbbbb"| 139 || September 5 || @ Cubs || 8 – 2 || Lilly (14-7) || Stults (1-3) || || 39,559 || 73-66|- style="background-color:#bbffbb"| 140 || September 6 || @ Cubs || 7 – 4 || Beimel (4-1) || Dempster (2-5) || Saito (37) || 39,397 || 74-66|- style="background-color:#ffbbbb"| 141 || September 7 || @ Giants || 5 – 4 || Hennessey (3-4) || Broxton (4-3) || || 40,016 || 74-67|- style="background-color:#bbffbb"| 142 || September 8 || @ Giants || 6 – 2 || Wells (7-8) || Zito (9-12) || || 42,228 || 75-67|- style="background-color:#ffbbbb"| 143 || September 9 || @ Giants || 4 – 2 || Walker (1-0) || Beimel (4-2) || Hennessey (19) || 40,650 || 75-68|- style="background-color:#ffbbbb"| 144 || September 11 || Padres || 9 – 4 || Peavy (17-6) || Loaiza (2-1) || || 51,620 || 75-69|- style="background-color:#bbffbb"| 145 || September 12 || Padres || 6 – 1 || Billingsley (11-4) || Germano (7-10) || || 43,699 || 76-69|- style="background-color:#bbffbb"| 146 || September 13 || Padres || 6 – 3 || Wells (8-8) || Maddux (12-10) || Saito (38) || 44,496 || 77-69|- style="background-color:#bbffbb"| 147 || September 14 || D-backs || 7 – 4 || Penny (16-4) || Davis (13-12) || Saito (39) || 54,014 || 78-69|- style="background-color:#bbffbb"| 148 || September 15 || D-backs || 6 – 2 || Lowe (12-12) || Hernández (10-10) || || 48,366 || 79-69|- style="background-color:#ffbbbb"| 149 || September 16 || D-backs || 6 – 1 ||  González (8-2) || Loaiza (2-2) || || 51,460 || 79-70|- style="background-color:#ffbbbb"| 150 || September 18 || @ Rockies || 3 – 1 || Francis (16-8) || Billingsley (11-5) || Corpas (15) || 23,282 || 79-71|- style="background-color:#ffbbbb"| 151 || September 18 || @ Rockies || 9 – 8 || Speier (1-1) || Saito (1-1) || || 23,271 || 79-72|- style="background-color:#ffbbbb"| 152 || September 19 || @ Rockies || 6 – 5 || Fuentes (2-5) || Broxton (4-4) || Corpas (16) || 26,184 || 79-73|- style="background-color:#ffbbbb"| 153 || September 20 || @ Rockies || 9 – 4 || Jiménez (4-4) || Lowe (12-13) || || 23,147 || 79-74|- style="background-color:#ffbbbb"| 154 || September 21 || @ D-backs || 12 – 3 || Hernández (11-10) || Loaiza (2-3) || || 37,753 || 79-75|- style="background-color:#ffbbbb"| 155 || September 22 || @ D-backs || 6 – 2 || Webb (17-10) || Wells (8-9) || || 47,673 || 79-76|- style="background-color:#bbffbb"| 156 || September 23 || @ D-backs || 7 – 1 || Billingsley (12-5) || González (8-3) || || 43,372 || 80-76|- style="background-color:#ffbbbb"| 157 || September 25 || Rockies || 9 – 7 || Speier (3-1) || Hendrickson (4-8) || Corpas (17) || 44,660 || 80-77|- style="background-color:#ffbbbb"| 158 || September 26 || Rockies || 2 – 0 || Fogg (10-9) || Lowe (12-14) || Corpas (18) || 45,036 || 80-78|- style="background-color:#ffbbbb"| 159 || September 27 || Rockies || 10 – 4 || Morales (3-2) || Loaiza (2-4) || || 51,999 || 80-79|- style="background-color:#bbffbb"| 160 || September 28 || Giants || 8 – 3 || Wells (9-9) || Correia (4-7) || || 47,696 || 81-79|- style="background-color:#bbffbb"| 161 || September 29 || Giants || 6 – 5 (10) || Saito (2-1) || Giese (0-2) || || 51,983 || 82-79|- style="background-color:#ffbbbb"| 162 || September 30 || Giants || 11 – 2 || Zito (11-13) || Stults (1-4) || || 49,211 || 82-80

text: |- style="background-color:#ffbbbb"| 1 || April 2 || @

text: Brewers

text: || 7 – 1 ||

text: Sheets

text: (1-0) ||

text: Lowe

text: (0-1) || || 45,341 || 0-1|- style="background-color:#ffbbbb"| 2 || April 3 || @

text: Brewers

text: || 4 – 3 ||

text: Shouse

text: (1-0) ||

text: Wolf

text: (0-1) ||

text: Cordero

text: (1) || 22,603 || 0-2|- style="background-color:#bbffbb"| 3 || April 4 || @

text: Brewers

text: || 5 – 4 ||

text: Schmidt

text: (1-0) ||

text: Suppan

text: (0-1) ||

text: Saito

text: (1) || 23,649 || 1-2|- style="background-color:#bbffbb"| 4 || April 6 || @

text: Giants

text: || 2 – 1 ||

text: Penny

text: (1-0) ||

text: Lowry

text: (0-1) ||

text: Saito

text: (2) || 43,146 || 2-2|- style="background-color:#bbffbb"| 5 || April 7 || @

text: Giants

text: || 4 – 1 ||

text: Lowe

text: (1-1) ||

text: Ortiz

text: (0-1) ||

text: Saito

text: (3) || 42,098 || 3-2|- style="background-color:#bbffbb"| 6 || April 8 || @

text: Giants

text: || 10 – 4 ||

text: Wolf

text: (1-1) ||

text: Zito

text: (0-2) || || 39,343 || 4-2|- style="background-color:#ffbbbb"| 7 || April 9 ||

text: Rockies

text: || 6 – 3 ||

text: Francis

text: (1-0) ||

text: Schmidt

text: (1-1) || || 56,000 || 4-3|- style="background-color:#bbffbb"| 8 || April 10 ||

text: Rockies

text: || 2 – 1 ||

text: Beimel

text: (1-0) ||

text: Kim

text: (1-1) ||

text: Saito

text: (4) || 40,560 || 5-3|- style="background-color:#bbffbb"| 9 || April 11 ||

text: Rockies

text: || 3 – 0 ||

text: Penny

text: (2-0) ||

text: Hirsh

text: (1-1) ||

text: Saito

text: (5) || 35,852 || 6-3|- style="background-color:#bbffbb"| 10 || April 13 ||

text: Padres

text: || 9 – 1 ||

text: Lowe

text: (2-1) ||

text: Wells

text: (0-1) || || 49,090 || 7-3|- style="background-color:#ffbbbb"| 11 || April 14 ||

text: Padres

text: || 7 – 4 ||

text: Peavy

text: (2-0) ||

text: Schmidt

text: (1-2) || || 55,942 || 7-4|- style="background-color:#bbffbb"| 12 || April 15 ||

text: Padres

text: || 9 – 3 ||

text: Wolf

text: (2-1) ||

text: Young

text: (1-1) || || 55,298 || 8-4|- style="background-color:#bbffbb"| 13 || April 16 || @

text: D-backs

text: || 5 – 1 ||

text: Penny

text: (3-0) ||

text: González

text: (1-1) || || 27,427 || 9-4|- style="background-color:#bbffbb"| 14 || April 17 || @

text: D-backs

text: || 6 – 4 ||

text: Billingsley

text: (1-0) ||

text: Peña

text: (0-1) ||

text: Saito

text: (6) || 25,735 || 10-4|- style="background-color:#ffbbbb"| 15 || April 18 || @

text: Rockies

text: || 7 – 2 ||

text: Buchholz

text: (1-0) ||

text: Lowe

text: (2-2)|| || 20,366 || 10-5|- style="background-color:#bbffbb"| 16 || April 19 || @

text: Rockies

text: || 8 – 1 ||

text: Hendrickson

text: (1-0) ||

text: Cook

text: (0-1) || || 19,135 || 11-5|- style="background-color:#bbffbb"| 17 || April 20 ||

text: Pirates

text: || 10 – 2 ||

text: Wolf

text: (3-1) ||

text: Armas

text: (0-2) || || 43,845 || 12-5|- style="background-color:#bbffbb"| 18 || April 21 ||

text: Pirates

text: || 7 – 3 (10) ||

text: Broxton

text: (1-0) ||

text: Bayliss

text: (1-1) || || 48,995 || 13-5|- style="background-color:#ffbbbb"| 19 || April 22 ||

text: Pirates

text: || 7 – 5 ||

text: Gorzelanny

text: (3-0) ||

text: Tomko

text: (0-1) ||

text: Torres

text: (6) || 46,741 || 13-6|- style="background-color:#ffbbbb"| 20 || April 24 ||

text: Giants

text: || 5 – 3 ||

text: Morris

text: (3-0) ||

text: Lowe

text: (2-3) ||

text: Benítez

text: (5) || 44,001 || 13-7|- style="background-color:#ffbbbb"| 21 || April 25 ||

text: Giants

text: || 6 – 4 ||

text: Lowry

text: (2-2) ||

text: Wolf

text: (3-2) ||

text: Benítez

text: (6) || 43,963 || 13-8|- style="background-color:#ffbbbb"| 22 || April 26 ||

text: Giants

text: || 5 – 4 ||

text: Correia

text: (1-1) ||

text: Beimel

text: (1-1) ||

text: Benítez

text: (7) || 56,000 || 13-9|- style="background-color:#bbffbb"| 23 || April 27 || @

text: Padres

text: || 6 – 5 ||

text: Seánez

text: (1-0) ||

text: Hoffman

text: (1-2) ||

text: Saito

text: (7) || 44,035 || 14-9|- style="background-color:#ffbbbb"| 24 || April 28 || @

text: Padres

text: || 3 – 2 ||

text: Maddux

text: (2-2) ||

text: Tomko

text: (0-2) ||

text: Hoffman

text: (5) || 42,385 || 14-10|- style="background-color:#bbffbb"| 25 || April 29 || @

text: Padres

text: || 5 – 4 (17) ||

text: Billingsley

text: (1-0) ||

text: Hampson

text: (0-1) || || 44,028 || 15-10|- style="background-color:#ffbbbb"| 26 || April 30 ||

text: D-backs

text: || 9 – 1 ||

text: Webb

text: (2-1) ||

text: Wolf

text: (3-3) || || 53,126 || 15-11|- style="background-color:#bbffbb"| 27 || May 1 ||

text: D-backs

text: || 2 – 1 ||

text: Saito

text: (1-0) ||

text: Lyon

text: (2-1) || || 36,029 || 16-11|- style="background-color:#bbffbb"| 28 || May 2 ||

text: D-backs

text: || 2 – 1 ||

text: Hendrickson

text: (2-0) ||

text: Davis

text: (2-3) ||

text: Saito

text: (8) || 34,825  || 17-11|- style="background-color:#ffbbbb"| 29 || May 4 || @

text: Braves

text: || 4 – 0 ||

text: Smoltz

text: (4-1) ||

text: Tomko

text: (0-3) || || 38,263 || 17-12|- style="background-color:#bbffbb"| 30 || May 5 || @

text: Braves

text: || 6 – 3 ||

text: Lowe

text: (3-3) ||

text: Hudson

text: (3-1) ||

text: Saito

text: (9) || 42,786 || 18-12|- style="background-color:#ffbbbb"| 31 || May 6 || @

text: Braves

text: || 6 – 4 ||

text: Paronto

text: (2-0) ||

text: Tsao

text: (0-1) ||

text: González

text: (1) || 33,350 || 18-13|- style="background-color:#bbffbb"| 32 || May 7 || @

text: Marlins

text: || 6 – 1 ||

text: Penny

text: (4-0) ||

text: Nolasco

text: (1-1) || || 12,252 || 19-13|- style="background-color:#ffbbbb"| 33 || May 8 || @

text: Marlins

text: || 6 – 5 ||

text: Owens

text: (2-0) ||

text: Broxton

text: (1-1) || || 11,124 || 19-14|- style="background-color:#bbffbb"| 34 || May 9 || @

text: Marlins

text: || 5 – 3 ||

text: Tomko

text: (1-3) ||

text: Willis

text: (5-2) ||

text: Saito

text: (10) || 12,213 || 20-14|- style="background-color:#ffbbbb"| 35 || May 10 || @

text: Marlins

text: || 3 – 0 ||

text: Tankersley

text: (2-0) ||

text: Lowe

text: (3-4) || || 20,345 || 20-15|- style="background-color:#bbffbb"| 36 || May 11 ||

text: Reds

text: || 2 – 0 ||

text: Wolf

text: (4-3) ||

text: Arroyo

text: (2-3) ||

text: Saito

text: (11) || 49,588 || 21-15|- style="background-color:#bbffbb"| 37 || May 12 ||

text: Reds

text: || 7 – 3 ||

text: Penny

text: (5-0) ||

text: Lohse

text: (1-4)  || || 51,776 || 22-15|- style="background-color:#bbffbb"| 38 || May 13 ||

text: Reds

text: || 10 – 5 ||

text: Broxton

text: (2-1) ||

text: Saarloos

text: (0-3) || || 41,399 || 23-15|- style="background-color:#ffbbbb"| 39 || May 14 ||

text: Cardinals

text: || 8 – 4 ||

text: Thompson

text: (2-0) ||

text: Tomko

text: (1-4) ||

text: Isringhausen

text: (10) || 35,707 || 23-16|- style="background-color:#bbffbb"| 40 || May 15 ||

text: Cardinals

text: || 9 – 7 ||

text: Lowe

text: (4-4) ||

text: Wainwright

text: (3-3) ||

text: Saito

text: (12) || 38,954 || 24-16|- style="background-color:#bbffbb"| 41 || May 16 ||

text: Cardinals

text: || 5 – 4 ||

text: Wolf

text: (5-3) ||

text: Wells

text: (1-8) ||

text: Saito

text: (13) || 38,252 || 25-16|- style="background-color:#ffbbbb"| 42 || May 18 || @

text: Angels

text: || 9 – 1 ||

text: Santana

text: (3-5) ||

text: Penny

text: (5-1) || || 44,342 || 25-17|- style="background-color:#ffbbbb"| 43 || May 19 || @

text: Angels

text: || 6 – 2 ||

text: Weaver

text: (3-3) ||

text: Hendrickson

text: (2-1) || || 44,380 || 25-18|- style="background-color:#ffbbbb"| 44 || May 20 || @

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text: D-backs

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text: Astros

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text: Astros

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text: Astros

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text: Qualls

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text: Rockies

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text: Rockies

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text: Rockies

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text: Rockies

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text: Giants

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text: Giants

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text: D-backs

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text: Davis

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text: D-backs

text: || 8 – 7 ||

text: Hernández

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text: Lowe

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text: D-backs

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text: Webb

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text: Penny

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text: Reds

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text: Reds

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text: Billingsley

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text: Reds

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text: Cardinals

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text: Cardinals

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text: Cardinals

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text: Reyes

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text: Astros

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text: Oswalt

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text: Astros

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text: Albers

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text: Astros

text: || 6 – 3 ||

text: Penny

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text: Jennings

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text: Saito

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text: Astros

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text: Lowe

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text: Rockies

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text: Stults

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text: Hernández

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text: Rockies

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text: Proctor

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text: Julio

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text: Saito

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text: Phillies

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text: Kendrick

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text: Tomko

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text: Phillies

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text: Lowe

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text: Durbin

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text: Phillies

text: || 5 – 2 ||

text: Billingsley

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text: Romero

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text: Saito

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text: Mets

text: || 5 – 2 ||

text: Pérez

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text: Penny

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text: Mets

text: || 4 – 3 ||

text: Hernández

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text: Stults

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text: Heilman

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text: Mets

text: || 6 – 2 ||

text: Wells

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text: Maine

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text: Nationals

text: || 5 – 4 ||

text: Lowe

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text: Nationals

text: || 4 – 3 ||

text: Billingsley

text: (9-4) ||

text: Schroder

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text: Saito

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text: Nationals

text: || 10 – 9 (12) ||

text: Proctor

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text: Rivera

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text: Padres

text: || 6 – 4 ||

text: Brocail

text: (5-1) ||

text: Seánez

text: (6-3) ||

text: Hoffman

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text: Padres

text: || 7 – 0 ||

text: Peavy

text: (16-5) ||

text: Lowe

text: (11-12) ||  || 42,605 || 70-65|- style="background-color:#bbffbb"| 136 || September 2 || @

text: Padres

text: || 5 – 0 ||

text: Billingsley

text: (10-4) ||

text: Germano

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text: Cubs

text: || 11 – 3 ||

text: Loaiza

text: (2-0) ||

text: Zambrano

text: (14-12) || || 41,070 || 72-65|- style="background-color:#bbffbb"| 138 || September 4 || @

text: Cubs

text: || 6 – 2 ||

text: Penny

text: (15-4) ||

text: Trachsel

text: (6-9) || || 37,834 || 73-65|- style="background-color:#ffbbbb"| 139 || September 5 || @

text: Cubs

text: || 8 – 2 ||

text: Lilly

text: (14-7) ||

text: Stults

text: (1-3) || || 39,559 || 73-66|- style="background-color:#bbffbb"| 140 || September 6 || @

text: Cubs

text: || 7 – 4 ||

text: Beimel

text: (4-1) ||

text: Dempster

text: (2-5) ||

text: Saito

text: (37) || 39,397 || 74-66|- style="background-color:#ffbbbb"| 141 || September 7 || @

text: Giants

text: || 5 – 4 ||

text: Hennessey

text: (3-4) ||

text: Broxton

text: (4-3) || || 40,016 || 74-67|- style="background-color:#bbffbb"| 142 || September 8 || @

text: Giants

text: || 6 – 2 ||

text: Wells

text: (7-8) ||

text: Zito

text: (9-12) || || 42,228 || 75-67|- style="background-color:#ffbbbb"| 143 || September 9 || @

text: Giants

text: || 4 – 2 ||

text: Walker

text: (1-0) ||

text: Beimel

text: (4-2) ||

text: Hennessey

text: (19) || 40,650 || 75-68|- style="background-color:#ffbbbb"| 144 || September 11 ||

text: Padres

text: || 9 – 4 ||

text: Peavy

text: (17-6) ||

text: Loaiza

text: (2-1) || || 51,620 || 75-69|- style="background-color:#bbffbb"| 145 || September 12 ||

text: Padres

text: || 6 – 1 ||

text: Billingsley

text: (11-4) ||

text: Germano

text: (7-10) || || 43,699 || 76-69|- style="background-color:#bbffbb"| 146 || September 13 ||

text: Padres

text: || 6 – 3 ||

text: Wells

text: (8-8) ||

text: Maddux

text: (12-10) ||

text: Saito

text: (38) || 44,496 || 77-69|- style="background-color:#bbffbb"| 147 || September 14 ||

text: D-backs

text: || 7 – 4 ||

text: Penny

text: (16-4) ||

text: Davis

text: (13-12) ||

text: Saito

text: (39) || 54,014 || 78-69|- style="background-color:#bbffbb"| 148 || September 15 ||

text: D-backs

text: || 6 – 2 ||

text: Lowe

text: (12-12) ||

text: Hernández

text: (10-10) || || 48,366 || 79-69|- style="background-color:#ffbbbb"| 149 || September 16 ||

text: D-backs

text: || 6 – 1 ||

text: González

text: (8-2) ||

text: Loaiza

text: (2-2) || || 51,460 || 79-70|- style="background-color:#ffbbbb"| 150 || September 18 || @

text: Rockies

text: || 3 – 1 ||

text: Francis

text: (16-8) ||

text: Billingsley

text: (11-5) ||

text: Corpas

text: (15) || 23,282 || 79-71|- style="background-color:#ffbbbb"| 151 || September 18 || @

text: Rockies

text: || 9 – 8 ||

text: Speier

text: (1-1) ||

text: Saito

text: (1-1) || || 23,271 || 79-72|- style="background-color:#ffbbbb"| 152 || September 19 || @

text: Rockies

text: || 6 – 5 ||

text: Fuentes

text: (2-5) ||

text: Broxton

text: (4-4) ||

text: Corpas

text: (16) || 26,184 || 79-73|- style="background-color:#ffbbbb"| 153 || September 20 || @

text: Rockies

text: || 9 – 4 ||

text: Jiménez

text: (4-4) ||

text: Lowe

text: (12-13) || || 23,147 || 79-74|- style="background-color:#ffbbbb"| 154 || September 21 || @

text: D-backs

text: || 12 – 3 ||

text: Hernández

text: (11-10) ||

text: Loaiza

text: (2-3) || || 37,753 || 79-75|- style="background-color:#ffbbbb"| 155 || September 22 || @

text: D-backs

text: || 6 – 2 ||

text: Webb

text: (17-10) ||

text: Wells

text: (8-9) || || 47,673 || 79-76|- style="background-color:#bbffbb"| 156 || September 23 || @

text: D-backs

text: || 7 – 1 ||

text: Billingsley

text: (12-5) ||

text: González

text: (8-3) || || 43,372 || 80-76|- style="background-color:#ffbbbb"| 157 || September 25 ||

text: Rockies

text: || 9 – 7 ||

text: Speier

text: (3-1) ||

text: Hendrickson

text: (4-8) ||

text: Corpas

text: (17) || 44,660 || 80-77|- style="background-color:#ffbbbb"| 158 || September 26 ||

text: Rockies

text: || 2 – 0 ||

text: Fogg

text: (10-9) ||

text: Lowe

text: (12-14) ||

text: Corpas

text: (18) || 45,036 || 80-78|- style="background-color:#ffbbbb"| 159 || September 27 ||

text: Rockies

text: || 10 – 4 ||

text: Morales

text: (3-2) ||

text: Loaiza

text: (2-4) || || 51,999 || 80-79|- style="background-color:#bbffbb"| 160 || September 28 ||

text: Giants

text: || 8 – 3 ||

text: Wells

text: (9-9) ||

text: Correia

text: (4-7) || || 47,696 || 81-79|- style="background-color:#bbffbb"| 161 || September 29 ||

text: Giants

text: || 6 – 5 (10) ||

text: Saito

text: (2-1) ||

text: Giese

text: (0-2) || || 51,983 || 82-79|- style="background-color:#ffbbbb"| 162 || September 30 ||

text: Giants

text: || 11 – 2 ||

text: Zito

text: (11-13) ||

text: Stults

text: (1-4) || || 49,211 || 82-80

text: |-!colspan=9 style="background:#a10022; color:#FFFFFF;"| Exhibition|-!colspan=9 style="background:#a10022; color:#FFFFFF;"| Regular Season|-!colspan=9 style="background:#a10022; color:#FFFFFF;"| |-!colspan=9 style="background:#a10022; color:#FFFFFF;"|

text: |-!colspan=9 style="background:#a10022; color:#FFFFFF;"| Exhibition|-!colspan=9 style="background:#a10022; color:#FFFFFF;"| Regular Season|-!colspan=9 style="background:#a10022; color:#FFFFFF;"|

entity_name: 2015 Big Sky Conference Men's Basketball Tournament

text: |-!colspan=9 style="background:#a10022; color:#FFFFFF;"|

entity_name: 2015 NCAA Men's Division I Basketball Tournament

text: Brightness is the subjective appearance of how bright an object appears given its surroundings and how it is illuminated. Lightness is the subjective appearance of how light a color appears to be. Colorfulness is the degree of difference between a color and grey. Chroma is the colorfulness relative to the brightness of another color that appears white under similar viewing conditions. This allows for the fact that a surface of a given chroma displays increasing colorfulness as the level of illumination increases. Saturation is the colorfulness of a color relative to its own brightness. Hue is the degree to which a stimulus can be described as similar to or different from stimuli that are described as red, green, blue, and yellow, the so-called unique hues. The colors that make up an object’s appearance are best described in terms of lightness and chroma when talking about the colors that make up the object’s surface, and it in terms of brightness, saturation and colorfulness when talking about the light that is emitted by or reflected off the object.

text: Brightness

text: is the subjective appearance of how bright an object appears given its surroundings and how it is illuminated.

text: Lightness

text: is the subjective appearance of how light a color appears to be.

text: Colorfulness

text: is the degree of difference between a color and grey.

text: Chroma

text: is the colorfulness relative to the brightness of another color that appears white under similar viewing conditions. This allows for the fact that a surface of a given chroma displays increasing colorfulness as the level of illumination increases.

text: Saturation

text: is the colorfulness of a color relative to its own brightness.

text: Hue

text: is the degree to which a stimulus can be described as similar to or different from stimuli that are described as red, green, blue, and yellow, the so-called

text: unique hues

text: . The colors that make up an object’s appearance are best described in terms of lightness and chroma when talking about the colors that make up the object’s surface, and it in terms of brightness, saturation and colorfulness when talking about the light that is emitted by or reflected off the object.

text: Morchella esculenta is probably the most popular of the morels. In contrast to M. angusticeps and its relatives, the caps are light-colored throughout development, especially the ridges, which remain paler than the pits. M. crassipes is sometimes confused with M. esculenta. According to Smith (1975), the two are distinct, but young forms of M. crassipes are difficult to separate from M. esculenta. The two are similar in color, but M. crassipes is larger, often has thin ridges, and sometimes has a stem base that is enlarged and longitudinally grooved.

text: Morchella esculenta is probably the most popular of the morels. In contrast to

text: M. angusticeps

text: and its relatives, the caps are light-colored throughout development, especially the ridges, which remain paler than the pits.

text: M. crassipes

text: is sometimes confused with M. esculenta. According to Smith (1975), the two are distinct, but young forms of M. crassipes are difficult to separate from M. esculenta. The two are similar in color, but M. crassipes is larger, often has thin ridges, and sometimes has a stem base that is enlarged and longitudinally grooved.

text: The RGB color model is additive in the sense that the three light beams are added together, and their light spectra add, wavelength for wavelength, to make the final color's spectrum.

text: Within the optical chamber(s), after the light is separated into its different wavelengths (colours), the light intensity is measured with a photomultiplier tube or tubes physically positioned to "view" the specific wavelength(s) for each element line involved, or, in more modern units, the separated colors fall upon an array of semiconductor photodetectors such as charge coupled devices (CCDs).  In units using these detector arrays, the intensities of all wavelengths (within the system's range) can be measured simultaneously, allowing the instrument to analyze for every element to which the unit is sensitive all at once.  Thus, samples can be analyzed very quickly.

text: Within the optical chamber(s), after the light is separated into its different wavelengths (colours), the light intensity is measured with a

text: photomultiplier

text: tube or tubes physically positioned to "view" the specific wavelength(s) for each element line involved, or, in more modern units, the separated colors fall upon an array of semiconductor photodetectors such as

text: charge coupled devices

text: (CCDs).  In units using these detector arrays, the intensities of all wavelengths (within the system's range) can be measured simultaneously, allowing the instrument to analyze for every element to which the unit is sensitive all at once.  Thus, samples can be analyzed very quickly.

text: Color blindness, also known as color vision deficiency, is the decreased ability to see color or differences in color. Color blindness can make some educational activities difficult. Buying fruit, picking clothing, and reading traffic lights can also be more challenging. Problems, however, are generally minor and most people adapt. People with total color blindness may also have decreased visual acuity and be uncomfortable in bright environments.

text: Color blindness, also known as color vision deficiency, is the decreased ability to

text: see color

text: or differences in

text: color

text: . Color blindness can make some educational activities difficult. Buying fruit, picking clothing, and reading traffic lights can also be more challenging. Problems, however, are generally minor and most people adapt. People with

text: total color blindness

text: may also have

text: decreased visual acuity

text: and be uncomfortable in bright environments.

text: C-Stand- Callier effect- Cameo lighting- Cameo (credits image)- Cameo role- Cameo shot- Camera angle- Camera boom- Camera crane- Camera dolly- Camera shot- Candles per square foot- Character animation- Choker shot- Chroma key- Chromatic aberration- CinemaDNG- Clapboard- Clock wipe- Close shot- Close up shot- Cold open- Color conversion filter- Color corrected fluorescent light- Color correction- Color gel- Color grading- Color rendering index- Color reversal internegative- Color temperature- Color timer- Continuity- Cooke Triplet lens- Crafts service- Crane shot- Creative geography- Cross cutting- Cross lighting- Cutaway- Cut in - cut out- Cutting on action

text: C-Stand

text: Callier effect

text: Cameo lighting

text: Cameo (credits image)

text: Cameo role

text: Cameo shot

text: Camera angle

text: Camera boom

text: Camera crane

text: Camera dolly

text: Camera shot

text: Candles per square foot

text: Character animation

text: Choker shot

text: Chroma key

text: Chromatic aberration

text: CinemaDNG

text: Clapboard

text: Clock wipe

text: Close shot

text: Close up shot

text: Cold open

text: Color conversion filter

text: Color corrected fluorescent light

text: Color correction

text: Color gel

text: Color grading

text: Color rendering index

text: Color reversal internegative

text: Color temperature

text: Color timer

text: Continuity

text: Cooke Triplet lens

text: Crafts service

text: Crane shot

text: Creative geography

text: Cross cutting

text: Cross lighting

text: Cutaway

text: Cut in - cut out

text: Cutting on action

text: The actual skin color of different humans is affected by many substances, although the single most important substance is the pigment melanin. Melanin is produced within the skin in cells called melanocytes and it is the main determinant of the skin color of darker-skinned humans. The skin color of people with light skin is determined mainly by the bluish-white connective tissue under the dermis and by the hemoglobin circulating in the veins of the dermis. The red color underlying the skin becomes more visible, especially in the face, when, as consequence of physical exercise or the stimulation of the nervous system (anger, fear), arterioles dilate. Color is not entirely uniform across an individual's skin; for example, the skin of the palm and the sole is lighter than most other skin, and this is especially noticeable in darker-skinned people.

text: The actual skin color of different humans is affected by many substances, although the single most important substance is the pigment

text: melanin

text: . Melanin is produced within the skin in cells called

text: melanocyte

text: s and it is the main determinant of the skin color of

text: darker-skinned

text: humans. The skin color of people with

text: light skin

text: is determined mainly by the bluish-white connective tissue under the

text: dermis

text: and by the

text: hemoglobin

text: circulating in the veins of the dermis. The red color underlying the skin becomes more visible, especially in the face, when, as consequence of

text: physical exercise

text: or the stimulation of the

text: nervous system

text: (anger, fear),

text: arteriole

text: s dilate. Color is not entirely uniform across an individual's skin; for example, the skin of the palm and the

text: sole

text: is lighter than most other skin, and this is especially noticeable in darker-skinned people.

text: Sputum  is mucus and is the name used for the coughed-up material (phlegm) from the lower airways (trachea and bronchi). This process is known as sputilization.  In medicine, sputum samples are usually used for naked eye exam, microbiological investigations of respiratory infections and cytological investigations of respiratory systems. It is critical that the patient not give a specimen that includes any mucoid material from the interior of the nose. Naked eye exam of sputum can be done at home by a patient in order to note the various colors (see below). Any hint of yellow color suggests an airway infection (but does not indicate between the types of organisms causing it). Such color hints are best detected when the sputum is viewed on a very white background such as white paper, a white pot, or a white sink surface. The more intense the yellow color, the more likely it is a bacterial infection (bronchitis, bronchopneumonia, or pneumonia).

text: Sputum  is

text: mucus

text: and is the name used for the coughed-up material (

text: phlegm

text: ) from the lower airways (trachea and bronchi). This process is known as sputilization.  In medicine, sputum samples are usually used for naked eye exam, microbiological investigations of respiratory infections and

text: cytological

text: investigations of respiratory systems. It is critical that the patient not give a specimen that includes any mucoid material from the interior of the nose. Naked eye exam of sputum can be done at home by a patient in order to note the various colors (see below). Any hint of yellow color suggests an airway infection (but does not indicate between the types of organisms causing it). Such color hints are best detected when the sputum is viewed on a very white background such as white paper, a white pot, or a white sink surface. The more intense the yellow color, the more likely it is a bacterial infection (

text: bronchitis

text: bronchopneumonia

text: , or

text: pneumonia

text: Harlequin is a color described as being located between green and yellow (closer to green than to yellow) on the color wheel. On color plate 17 in the 1930 book A Dictionary of Color (see reference below), the color harlequin is shown as being a highly saturated rich color at a position halfway between chartreuse and green. Thus in modern color terminology, harlequin is the color halfway between green and chartreuse green on the RGB color wheel.

text: Shades of black are colors that differ only slightly from pure black. These colors have a low lightness. From photometric point of view, a color which differs slightly from black always has low relative luminance. Variations of black include what are commonly termed off-black colors, which may be considered part of a neutral color scheme, usually in interior design as a part of a background for brighter colors.  Black and dark gray colors are powerful accent colors that suggest weight, dignity, formality, and solemnity.

text: Shades of black are

text: color

text: s that differ only slightly from pure

text: black

text: . These colors have a low

text: lightness

text: . From photometric point of view, a color which differs slightly from black always has low

text: relative luminance

text: . Variations of black include what are commonly termed off-black colors, which may be considered part of a neutral

text: color scheme

text: , usually in

text: interior design

text: as a part of a background for brighter colors.  Black and dark gray colors are powerful accent colors that suggest weight, dignity, formality, and solemnity.

text: A distinction is usually made between a pigment, which is insoluble in its vehicle (resulting in a suspension), and a dye, which either is itself a liquid or is soluble in its vehicle (resulting in a solution). A colorant can act as either a pigment or a dye depending on the vehicle involved. In some cases, a pigment can be manufactured from a dye by precipitating a soluble dye with a metallic salt. The resulting pigment is called a lake pigment. The term biological pigment is used for all colored substances independent of their solubility.

text: A distinction is usually made between a pigment, which is

text: insoluble

text: in its vehicle (resulting in a suspension), and a

text: dye

text: , which either is itself a

text: liquid

text: or is soluble in its vehicle (resulting in a solution). A colorant can act as either a pigment or a dye depending on the vehicle involved. In some cases, a pigment can be manufactured from a dye by

text: precipitating

text: a soluble dye with a metallic salt. The resulting pigment is called a

text: lake pigment

text: . The term

text: biological pigment

text: is used for all colored substances independent of their solubility.

text: Different grow lights produce different spectrums of light. Plant growth patterns can respond to the color spectrum of light, a process completely separate from photosynthesis known as photomorphogenesis.

text: Different grow lights produce different

text: spectrums of light

text: . Plant growth patterns can respond to the color spectrum of light, a process completely separate from photosynthesis known as

text: photomorphogenesis

text: When judging the relative luminance (brightness) of different colors in well-lit situations, humans tend to perceive light within the green parts of the spectrum as brighter than red or blue light of equal power. The luminosity function that describes the perceived brightnesses of different wavelengths is thus roughly analogous to the spectral sensitivity of M cones.

text: When judging the relative

text: luminance

text: (brightness) of different colors in well-lit situations, humans tend to perceive light within the green parts of the spectrum as brighter than red or blue light of equal power. The

text: luminosity function

text: that describes the perceived brightnesses of different wavelengths is thus roughly analogous to the spectral sensitivity of M cones.

text: Pigment color differs from structural color in that pigment color is the same for all viewing angles, whereas structural color is the result of selective reflection or iridescence, usually because of multilayer structures. For example, butterfly wings typically contain structural color, although many butterflies have cells that contain pigment as well.

text: Pigment color differs from

text: structural color

text: in that pigment color is the same for all viewing angles, whereas structural color is the result of selective reflection or

text: iridescence

text: , usually because of multilayer structures. For example,

text: butterfly

text: wings typically contain structural color, although many butterflies have cells that contain pigment as well.

text: Like other round rays, the Tumbes round stingray has a rounded pectoral fin disc, slightly wider than it is long. The tail is stout, bearing a serrated stinging spine, and terminates in a rounded caudal fin. The pelvic fins have abruptly rounded tips. The teeth have narrowly oval bases and no elevated cusps. The dorsal surface is covered uniformly by dermal denticles on stellate bases, becoming larger towards the midline of the disc; the underside is smooth. There are also thorns on the dorsal surface of the disc and tail. The dorsal coloration consists of ochre vermiculations separating brownish-white oval or circular spots about the size of the eye, becoming more distinct towards the margin of the disc and on the pelvic fins. The denticles and tail spine are ochre-colored, and the underside is light tan with a dark border along the edge of the disc. The coloration, denticles and several proportional measurements distinguish the Tumbes round stingray from other Urobatis species.

text: Like other round rays, the Tumbes round stingray has a rounded

text: pectoral fin

text: disc, slightly wider than it is long. The tail is stout, bearing a serrated stinging spine, and terminates in a rounded

text: caudal fin

text: . The

text: pelvic fin

text: s have abruptly rounded tips. The teeth have narrowly oval bases and no elevated cusps. The dorsal surface is covered uniformly by

text: dermal denticle

text: s on stellate bases, becoming larger towards the midline of the disc; the underside is smooth. There are also thorns on the dorsal surface of the disc and tail. The dorsal coloration consists of ochre vermiculations separating brownish-white oval or circular spots about the size of the eye, becoming more distinct towards the margin of the disc and on the pelvic fins. The denticles and tail spine are ochre-colored, and the underside is light tan with a dark border along the edge of the disc. The coloration, denticles and several proportional measurements distinguish the Tumbes round stingray from other Urobatis species.

text: The source of the color "cafe au lait" displayed above right is the ISCC-NBS Color List (see Page C, cafe au lait, color sample #57).

text: Deoxygenated hemoglobin is the form of hemoglobin without the bound oxygen. The absorption spectra of oxyhemoglobin and deoxyhemoglobin differ. The oxyhemoglobin has significantly lower absorption of the 660 nm wavelength than deoxyhemoglobin, while at 940 nm its absorption is slightly higher. This difference is used for the measurement of the amount of oxygen in a patient's blood by an instrument called a pulse oximeter. This difference also accounts for the presentation of cyanosis, the blue to purplish color that tissues develop during hypoxia.

text: Deoxygenated hemoglobin is the form of hemoglobin without the bound oxygen. The

text: absorption spectra

text: of oxyhemoglobin and deoxyhemoglobin differ. The oxyhemoglobin has significantly lower absorption of the 660 nm

text: wavelength

text: than deoxyhemoglobin, while at 940 nm its absorption is slightly higher. This difference is used for the measurement of the amount of oxygen in a patient's blood by an instrument called a

text: pulse oximeter

text: . This difference also accounts for the presentation of

text: cyanosis

text: , the blue to purplish color that tissues develop during

text: hypoxia

text: Red is any of a number of similar colors evoked by light, consisting predominantly of the longest wavelengths discernible by the human eye, in the wavelength range of roughly 625–750 nm. It is considered one of the additive primary colors.

text: Red is any of a number of similar colors evoked by

text: light

text: , consisting predominantly of the longest wavelengths discernible by the human eye, in the

text: wavelength

text: range of roughly 625–750

text: nm

text: . It is considered one of the

text: additive

text: primary color

text: s.

text: Glass coloring and color marking may be obtained by 1) addition of coloring ions, by 2) precipitation of nanometer sized colloides (so-called striking glasses such as "gold ruby" or red "selenium ruby"), 3) by colored inclusions (as in milk glass and smoked glass), 4) by light scattering (as in phase separated glass), 5) by dichroic coatings (see dichroic glass), or 6) by colored coatings.

text: Glass

text: color

text: ing and color marking may be obtained by 1) addition of coloring ions, by 2) precipitation of nanometer sized colloides (so-called striking glasses such as "gold ruby" or red "selenium ruby"), 3) by colored inclusions (as in

text: milk glass

text: and

text: smoked glass

text: ), 4) by light

text: scattering

text: (as in

text: phase separated glass

text: ), 5) by

text: dichroic

text: coatings (see

text: dichroic glass

text: ), or 6) by colored coatings.

text: Below is a rough table of wavelengths, colors and complementary colors. This utilizes the scientific CMY and RGB color wheels rather than the traditional RYB color wheel.

text: Below is a rough table of wavelengths, colors and complementary colors. This utilizes the scientific

text: CMY

text: and

text: RGB

text: color wheel

text: s rather than the traditional

text: RYB

text: color wheel.

text: There are two forms of 8-bit color graphics. The most common uses a separate palette of 256 colors, where each of the 256 entries in the palette map is given red, green, and blue values. In most color maps, each color is usually chosen from a palette of 16,777,216 colors (24 bits: 8 red, 8 green, 8 blue). But in the original VGA card's 320x200 mode, 256 on-screen colors could be chosen from a palette of 262,144 colors (18 bits: 6 red, 6 green, 6 blue). Some older cards prior to the VGA (like the Professional Graphics Controller) can only choose the 256-color palette from 4,096 colors (12 bits: 4 red, 4 green, 4 blue).

text: There are two forms of 8-bit color graphics. The most common uses a separate palette of 256 colors, where each of the 256 entries in the palette map is given red, green, and blue values. In most color maps, each color is usually chosen from a palette of 16,777,216 colors (24 bits: 8 red, 8 green, 8 blue). But in the original

text: VGA

text: card's 320x200 mode, 256 on-screen colors could be chosen from a palette of 262,144 colors (18 bits: 6 red, 6 green, 6 blue). Some older cards prior to the

text: VGA

text: (like the

text: Professional Graphics Controller

text: ) can only choose the 256-color palette from 4,096 colors (12 bits: 4 red, 4 green, 4 blue).

text: The Shih Tzu comes in a range of colours that include various shades of gold, white, brown, and black. Other colours include black mask gold, black and white, solid black, solid liver, liver and white,  brindle, white, red and white, and grey and white. Thus, when two Shih Tzu mate, there is a possibility that their offspring's coat will be similar to the sire's color, dam's color, tricolor, or a mix of both parents' color in one classification. An interesting point (and often a point of confusion) is that while the coat color of those with black pigmented skin (nose, lips, pads, also referred to as "leather") is determined by the color of the coat itself; the coat color on dogs with either liver or blue pigment is categorized by the color of the pigment. Thus, a parti colored (white and another shade) Shih Tzu with blue pigment is a "blue and white" regardless of the tint of the hair which might very well appear similar to a gold and white or other colors. The same principle applies to solid blue, liver, and liver and white. Sometimes you might see dark brown pigments near the shoulders and between the armpits.

text: The Shih Tzu comes in a range of colours that include various shades of gold, white, brown, and black. Other colours include black mask gold, black and white, solid black, solid liver, liver and white,  brindle, white, red and white, and grey and white. Thus, when two Shih Tzu mate, there is a possibility that their offspring's coat will be similar to the

text: sire

text: 's color,

text: dam

text: 's color, tricolor, or a mix of both parents' color in one classification. An interesting point (and often a point of confusion) is that while the coat color of those with black pigmented skin (nose, lips, pads, also referred to as "leather") is determined by the color of the coat itself; the coat color on dogs with either liver or blue pigment is categorized by the color of the pigment. Thus, a parti colored (white and another shade) Shih Tzu with blue pigment is a "blue and white" regardless of the tint of the hair which might very well appear similar to a gold and white or other colors. The same principle applies to solid blue, liver, and liver and white. Sometimes you might see dark brown pigments near the shoulders and between the armpits.

text: Note that since purples (mixtures of red and blue/violet) cannot be pure spectral colors, no color mixture perceived as purple in hue can be assigned a proper dominant wavelength.  However, purple mixtures can be assigned a dominant hue as coordinates along the line of purples.  See CIE for the standard representation of color space, where the border is composed of a horseshoe curve representing the pure spectral colors, with a straight line completing the perimeter along the bottom and representing the mixtures of extreme red and blue/violet that give the pure purples.  The same argument applies to complementary colors; for many coordinates in the green area of CIE color space, no complementary wavelength exists, but there is a complementary pure purple.

text: Note that since

text: purple

text: s (mixtures of red and blue/violet) cannot be pure spectral colors, no color mixture perceived as purple in hue can be assigned a proper dominant wavelength.  However, purple mixtures can be assigned a dominant hue as coordinates along the

text: line of purples

text: .  See

entity_name: International Commission on Illumination

text: CIE

text: for the standard representation of color space, where the border is composed of a horseshoe curve representing the pure spectral colors, with a straight line completing the perimeter along the bottom and representing the mixtures of extreme red and blue/violet that give the pure purples.  The same argument applies to complementary colors; for many coordinates in the green area of CIE color space, no complementary wavelength exists, but there is a complementary pure purple.

text: It is generally accepted across all current research that infants prefer high contrast and bold colors at their earlier stages of infancy, rather than saturated colors. One study found that newborn infants looked longer at checkered patterns of white and colored stimuli (including red, green, yellow) than they did at a uniform white color. However, infants failed to discriminate blue from white checkered patterns. Another study – recording the fixation time of infants to blue, green, yellow, red, and gray at two difference luminance levels – found that infants and adults differed in their color preference. Newborns and one month did not show any preference among the colored stimuli. It was found that three-month-old infants preferred the longer wavelength (red and yellow) to the short-wavelength (blue and green) stimuli, while adults had the opposite. However, both adults and infants preferred colored stimuli over non-colored stimuli. According this study, it was suggest that infants had a general preference for colored stimuli over non-colored stimuli at birth; however, infants were not able to distinguish between the different colored stimuli until after three months of age.

text: The molecular structures of these molecules is more conjugated than represented in the images shown below.  The pigments' colors can range from yellow to green.  One of the most common diarlyide yellow pigments is Pigment Yellow 12.  Its CAS number is  .  Other diarylide yellow pigments include ‘’’yellow 13’’’  , ‘’’yellow 17’’’  and ‘’’yellow 83’’’  .  These pigments share the same backbone and vary in color depending on substitution of the benzene rings.   Worldwide production of color organic pigments was estimated to be about 250,000 metric tons (t) in 2006, with about 25%, or 62,500 t, being diarylide yellows.

text: The molecular structures of these molecules is more conjugated than represented in the images shown below.  The pigments' colors can range from yellow to green.  One of the most common diarlyide yellow pigments is Pigment Yellow 12.  Its

text: CAS number

text: is  .  Other diarylide yellow pigments include ‘’’yellow 13’’’  , ‘’’yellow 17’’’  and ‘’’yellow 83’’’  .  These pigments share the same backbone and vary in color depending on substitution of the benzene rings.   Worldwide production of color organic pigments was estimated to be about 250,000 metric tons (t) in 2006, with about 25%, or 62,500 t, being diarylide yellows.

text: LCDs are relatively inefficient in terms of power use per display size, because the vast majority of light that is being produced at the back of the screen is blocked before it reaches the viewer. To start with, the rear polarizer filters out over half of the original un-polarized light. Examining the image above, you can see that a good portion of the screen area is covered by the cell structure around the shutters, which removes another portion. After that, each sub-pixel's color filter removes the majority of what is left to leave only the desired color. Finally, to control the color and luminance of a pixel as a whole, some light is lost when passing the front polarizer in the on-state by the imperfect operation of the shutters.

text: Tempering - as mentioned above, steel can be hardened. When heated to red-hot, the iron and carbon in the steel arrange themselves into a lattice network. When quickly quenched, the lattice is frozen in place and forms a rigid structure; the more carbon, the greater the rigidity. When quenched, the steel is as hard as it will become. The harder the steel, the more brittle it is. A file is absolutely hard. It will cut lots of mild steel because it is so much harder - but put a file in a vise and hit it with a hammer and the file will readily snap in half. Same with a drill bit, cock the drill and the bit will easily snap. Tempering is a process of controlled heating of hardened steel that will relax the lattice within the iron and carbon, thereby softening the steel. The higher the temperature, the softer the steel becomes. A chisel for steel is tempered at a high temperature - softened enough so it won't snap, but still harder than the steel it will cut. A clean piece of steel will turn a very specific color based on the temperature to which it is raised. Heat one end of a piece of steel in a fire and you can easily see bands of color move up the steel coincidental with the heat migrating up the piece. It begins as a very light yellow, turns to a darker straw color, through red and on to purple. Blacksmiths have always used these colors to identify the temperature of the steel and thus control the temper (hardness) of the work piece. Spring steel is often a pretty bluish-purple color - because it's tempered to 750* and that's the associated color - soft enough to bend, but hard enough to retain “memory” and spring back to its original shape.

text: Aqua (from  for water) is a greenish-blue color, a variation of the color cyan. The web color aqua is identical to the web color cyan, also sometimes called electric cyan, one of the three secondary colors of the RGB color model used on computer and television displays. In the HSV color wheel aqua is precisely halfway between green and blue. However, aqua is not the same as the primary subtractive color process cyan used in printing.

text: Aqua (from  for

text: water

text: ) is a

text: greenish-blue

text: color, a variation of the color

text: cyan

text: . The web color aqua is identical to the web color

text: cyan

text: , also sometimes called

text: electric cyan

text: , one of the three

text: secondary color

text: s of the

text: RGB color model

text: used on computer and television displays. In the

text: HSV color wheel

text: aqua is precisely halfway between

text: green

text: and

text: blue

text: . However, aqua is not the same as the

text: primary subtractive

text: color process cyan used in printing.

text: The color pattern consists of a light brownish gray to blackish ground color overlaid with a series of 24-33 relatively large and usually elliptical dorsolateral blotches. These blotches, which may oppose or alternate on either side of the middorsal line, are usually closed and have a pale interior with a dark smudge in the center that makes them look like a row of bull's-eyes on either side of the body. The bloches are separated laterally by one scale row, extend down to the first scale row, and may merge with blotches across the middorsal line. A dark postocular stripe is present that is bordered above by a narrow yellow or white line.

text: In computer graphics and 3D rendering, color bleeding is the phenomenon in which objects or surfaces are colored by reflection of colored light from nearby surfaces.

text: In computer graphics and

text: 3D rendering

text: , color bleeding is the phenomenon in which objects or surfaces are colored by

text: reflection

text: of colored light from nearby surfaces.

text: Color realism is a fine art style where accurately portrayed colors create a sense of space and form. It employs a flattening of objects into areas of color, where the modulations occur more as a result of an object interacting with the color and light of its environment than the sculptural modeling of form or presentation of textural detail. The actual color of an object, or 'local color', is held secondary to how that color interacts with surrounding light sources that may alter the look of the original color. Warm light of the sun, cool light from the sky, and warm reflected light bouncing off other objects are all examples of how a local color may be affected by its location in space.

text: Color realism is a

text: fine art

text: style where accurately portrayed colors create a sense of space and form. It employs a flattening of objects into areas of color, where the modulations occur more as a result of an object interacting with the color and light of its environment than the sculptural modeling of form or presentation of textural detail. The actual color of an object, or 'local color', is held secondary to how that color interacts with surrounding light sources that may alter the look of the original color. Warm light of the sun, cool light from the sky, and warm reflected light bouncing off other objects are all examples of how a local color may be affected by its location in space.

text: Color changing inks colored magnetizable inks are prepared by including chromatic pigments of high color strength. The magnetic pigments’ strong inherent color generally reduces the spectrum of achievable shades. Generally, pigments should be used at high concentrations to ensure that sufficient magnetizable material is applied even in thin offset coats. Some magnetic pigment are best suited for colored magnetizable inks due to their lower blackness.Homogenous magnetization (no preferred orientation) is easily obtained on pigment made of spherical particles. Best results are achieved when remanence and coercive field strength are very low and the saturating magnetization is high.

text: Color changing inks

text: colored magnetizable inks are prepared by including chromatic pigments of high color strength. The magnetic pigments’ strong inherent color generally reduces the spectrum of achievable shades. Generally, pigments should be used at high concentrations to ensure that sufficient magnetizable material is applied even in thin offset coats. Some magnetic pigment are best suited for colored magnetizable inks due to their lower blackness.Homogenous magnetization (no preferred orientation) is easily obtained on pigment made of spherical particles. Best results are achieved when remanence and coercive field strength are very low and the saturating magnetization is high.

text: A Egg object could be defined such that weight and color are simple attributes as in the following

text: Optimal object color limits:While still studying, MacAdam published in 1935 two papers on the theory of optimal object colors in which he showed the results of his calculations of the optimal object color solid raised over the CIE chromaticity diagram, using the newly established CIE standard observer and illuminant C and A data from 1932. (3, 4)

text: Optimal object color limits:While still studying, MacAdam published in 1935 two papers on the theory of optimal object colors in which he showed the results of his calculations of the optimal object

text: color solid

text: raised over the

text: CIE chromaticity diagram

text: , using the newly established

text: CIE

text: standard observer and

text: illuminant

text: C and A data from 1932. (3, 4)

text: |- style="text-align:center;background-color:#bbffbb"| 1 || April 3 || Yankees || 15–2 || Oakland || Johnson (1–0) || || 35,077 || 1–0 |- style="text-align:center;background-color:#ffbbbb"| 2 || April 4 || Yankees || 3–4 || Oakland || Proctor (0–1) || || 31,284 || 1–1 |- style="text-align:center;background-color:#ffbbbb"| 3 || April 5 || Yankees || 4–9 || Oakland || Wright (0–1) || || 30,165 || 1–2 |- style="text-align:center;background-color:#ffbbbb"| 4 || April 7 || Yankees || 1–4 || Angels || Chacón (0–1) || || 44,221 || 1–3 |- style="text-align:center;background-color:#ffbbbb"| 5 || April 8 || Yankees || 2–3 || Angels || Johnson (1–1) || || 44,044 || 1–4 |- style="text-align:center;background-color:#bbffbb"| 6 || April 9 || Yankees || 10–1 || Angels || Mussina (1–0) || || 44,020 || 2–4 |- style="text-align:center;background-color:#bbffbb"| 7 || April 11 || Kansas City || 7–9 || Yankees || Proctor (1–1) || Rivera (1) || 54,698 || 3–4 |- style="text-align:center;background-color:#bbffbb"| 8 || April 12 || Kansas City || 5–12 || Yankees || Chacón (1–1) || || 41,448 || 4–4  |- style="text-align:center;background-color:#bbffbb"| 9 || April 13 || Kansas City || 3–9 || Yankees || Johnson (2–1) || || 54,381 || 5–4 |- style="text-align:center;background-color:#ffbbbb"| 10 || April 14 || Yankees || 1–5 || Minnesota || Mussina (1–1) || || 30,622 || 5–5  |- style="text-align:center;background-color:#ffbbbb"| 11 || April 15 || Yankees || 5–6 || Minnesota || Rivera (0–1) || || 42,316 || 5–6 |- style="text-align:center;background-color:#bbffbb"| 12 || April 16 || Yankees || 9–3 || Minnesota || Wang (1–0) || || 22,627 || 6–6 |- style="text-align:center;background-color:#ffbbbb"| 13 || April 18 || Yankees || 5–10 || Toronto || Johnson (2–2) || || 48,776 || 6–7 |- style="text-align:center;background-color:#bbffbb"| 14 || April 19 || Yankees || 3–1 || Toronto || Mussina (2–1) || Rivera (2) || 32,886 || 7–7 |- style="text-align:center;background-color:#ffbbbb"| 15 || April 21 || Baltimore || 6–5 || Yankees || Wang (1–1) || || 51,282 || 7–8  |- style="text-align:center;background-color:#bbffbb"| 16 || April 22 || Baltimore || 1–6 || Yankees || Chacón (2–1) || || 50,872 || 8–8 |- style="text-align:center;background-color:#bbffbb"| 17 || April 23 || Baltimore || 1–7 || Yankees || Johnson (3–2) || || 47,996 || 9–8 |- style="text-align:center;background-color:#bbffbb"| 18 || April 25 || Tampa Bay || 1–9 || Yankees || Mussina (3–1) || || 36,334 || 10–8 |- style="text-align:center;background-color:#ffbbbb"| 19 || April 26 || Tampa Bay || 4–2 || Yankees || Rivera (0–2) || || 35,642 || 10–9 |- style="text-align:center;background-color:#bbffbb"| 20 || April 27 || Tampa Bay || 1–4 || Yankees || Chacón (2–1) || Rivera (3) || 45,826 || 11–9 |- style="text-align:center;background-color:#ffbbbb"| 21 || April 28 || Toronto || 7–2 || Yankees || Wright (0–2) || || 47,204 || 11–10  |- style="text-align:center;background-color:#bbffbb"| 22 || April 29 || Toronto || 6–17 || Yankees || Johnson (4–2) || || 50,119 || 12–10 |- style="text-align:center;background-color:#bbffbb"| 23 || April 30 || Toronto || 1–4 || Yankees || Mussina (4–1) || Rivera (4) || 52,954 || 13–10 |- style="text-align:center;background-color:#ffbbbb"| 24 || May 1 || Yankees || 7–3 || Boston || Small (0–1) || || 36,339 || 13–11|- style="text-align:center;background-color:#bbbbbb"| – || May 2 || Yankees || || Boston || Postponed || || || 13–11|- style="text-align:center;background-color:#bbffbb"| 25 || May 3 || Yankees || 4–2 || Tampa Bay || Farnsworth (1–0) || Rivera (5) || 17,059 || 14–11|- style="text-align:center;background-color:#bbffbb"| 26 || May 4 || Yankees || 10–5 || Tampa Bay || Johnson (5–2) || || 22,164 || 15–11 |- style="text-align:center;background-color:#bbffbb"| 27 || May 5 || Yankees || 8–7 || Texas || Mussina (5–1) || Rivera (6) || 39,002 || 16–11  |- style="text-align:center;background-color:#bbffbb"| 28 || May 6 || Yankees || 6–1 || Texas || Chacón (4–1) || || 48,634 || 17–11  |- style="text-align:center;background-color:#bbffbb"| 29 || May 7 || Yankees || 8–5 || Texas || Wang (2–1) || || 46,013 || 18–11  |- style="text-align:center;background-color:#ffbbbb"| 30 || May 9 || Boston || 14–3 || Yankees || Johnson (5–3) || || 54,688 || 18–12 |- style="text-align:center;background-color:#bbffbb"| 31 || May 10 || Boston || 3–7 || Yankees || Mussina (6–1) || || 54,769 || 19–12  |- style="text-align:center;background-color:#ffbbbb"| 32 || May 11 || Boston || 5–3 || Yankees || Villone (0–1) || || 54,956 || 19–13  |- style="text-align:center;background-color:#bbffbb"| 33 || May 12 || Oakland || 0–2 || Yankees || Wang (3–1) || Rivera (7) || 47,797 || 20–13  |- style="text-align:center;background-color:#bbffbb"| 34 || May 13 || Oakland || 3–4 || Yankees || Wright (1–2) || Farnsworth (1) || 53,907 || 21–13  |- style="text-align:center;background-color:#ffbbbb"| 35 || May 14 || Oakland || 6–1 || Yankees || Johnson (5–4) || ||  52,587 || 21–14  |- style="text-align:center;background-color:#ffbbbb"| 36 || May 15 || Texas || 4–3 || Yankees || Farnsworth (1–1) || || 41,115 || 21–15  |- style="text-align:center;background-color:#bbffbb"| 37 || May 16 || Texas || 13–14 || Yankees || Rivera (1–2) || || 40,757 || 22–15  |- style="text-align:center;background-color:#bbffbb"| 38 || May 17 || Texas || 3–4 || Yankees || Wang (4–1) || Rivera (8) || 52,547 || 23–15  |- style="text-align:center;background-color:#ffbbbb"| 39 || May 18 || Texas || 6–2 || Yankees || Wright (1–3) || || 47,194 || 23–16 |- style="text-align:center;background-color:#ffbbbb"| 40 || May 19 || Yankees || 6–7 || Mets || Rivera (1–3) || || 56,289 || 23–17  |- style="text-align:center;background-color:#bbffbb"| 41 || May 20 || Yankees || 5–4 || Mets || Rivera (2–3) || || 56,185 || 24–17  |- style="text-align:center;background-color:#ffbbbb"| 42 || May 21 || Yankees || 3–4 || Mets || Small (0–2) || || 56,205 || 24–18  |- style="text-align:center;background-color:#ffbbbb"| 43 || May 22 || Yankees || 5–9 || Boston || Wang (4–2) || || 36,342 || 24–19  |- style="text-align:center;background-color:#bbffbb"| 44 || May 23 || Yankees || 7–5 || Boston || Wright (2–3) || Rivera (9) || 36,290 || 25–19  |- style="text-align:center;background-color:#bbffbb"| 45 || May 24 || Yankees || 8–6 || Boston || Johnson (6–4) || Rivera (10) || 36,375 || 26–19  |- style="text-align:center;background-color:#ffbbbb"| 46 || May 26 || Kansas City || 7–6 || Yankees || Farnsworth (1–2) || || 48,035 || 26–20|- style="text-align:center;background-color:#bbffbb"| 47 || May 27 || Kansas City || 4–15 || Yankees || Wang (5–2) || || 54,216 || 27–20  |- style="text-align:center;background-color:#bbffbb"| 48 || May 28 || Kansas City || 5–6 || Yankees || Wright (3–3) || Rivera (11) || 54,372 || 28–20  |- style="text-align:center;background-color:#bbffbb"| 49 || May 29 || Yankees || 4–0 || Detroit || Johnson (7–4) || || 39,759 || 29–20 |- style="text-align:center;background-color:#bbffbb"| 50 || May 30 || Yankees || 11–6 || Detroit || Rivera (3–3) || || 24,765 || 30–20 |- style="text-align:center;background-color:#bbffbb"| 51 || May 31 || Yankees || 6–1 || Detroit || Mussina (7–1) || || 23,737 || 31–20 |- style="text-align:center;background-color:#ffbbbb"| 52 || June 1 || Yankees || 6–7 || Detroit || Farnsworth (1–3) || || 27,231 || 31–21|- style="text-align:center;background-color:#bbffbb"| 53 || June 2 || Yankees || 6–5 || Baltimore || Farnsworth (2–3) || || 48,168 || 32–21|- style="text-align:center;background-color:#bbffbb"| 54 || June 3 || Yankees || 6–5 || Baltimore || Proctor (2–1) || Wang (1) || 48,195 || 33–21|- style="text-align:center;background-color:#ffbbbb"| 55 || June 4 || Yankees || 4–11 || Baltimore || Small (0–3) || || 47,535 || 33–22 |- style="text-align:center;background-color:#bbffbb"| 56 || June 5 || Boston || 5–13 || Yankees || Mussina (8–1) || || 55,246 || 34–22  |- style="text-align:center;background-color:#bbffbb"| 57 || June 6 || Boston || 1–2 || Yankees || Wang (6–2) || Rivera (12) || 55,141 || 35–22  |- style="text-align:center;background-color:#bbbbbb"| – || June 7 || Boston ||  || Yankees || Postponed || || ||    35–22  |- style="text-align:center;background-color:#ffbbbb"| 58 || June 8 || Boston || 9–3 || Yankees || Wright (3–4) || || 55,225 || 35–23 |- style="text-align:center;background-color:#ffbbbb"| 59 || June 9 || Oakland || 6–5 || Yankees || Johnson (7–5) || || 53,837 || 35–24 |- style="text-align:center;background-color:#ffbbbb"| 60 || June 10 || Oakland || 5–2 || Yankees || Mussina (8–2) || || 53,779 || 35–25  |- style="text-align:center;background-color:#ffbbbb"| 61 || June 11 || Oakland || 6–5 || Yankees || Farnsworth (2–4) || || 54,570 || 35–26  |- style="text-align:center;background-color:#bbffbb"| 62 || June 13 || Cleveland || 0–1 || Yankees || Wang (7–2) || Rivera (13) || 50,365 || 36–26  |- style="text-align:center;background-color:#bbffbb"| 63 || June 14 || Cleveland || 1–6 || Yankees || Johnson (7–5)  || || 53,448 || 37–26  |- style="text-align:center;background-color:#ffbbbb"| 64 || June 15 || Cleveland || 8–4 || Yankees || Mussina (8–3) || || 54,648 || 37–27  |- style="text-align:center;background-color:#bbffbb"| 65 || June 16 || Yankees || 7–5 || Washington || Rivera (4–3) || || 44,749 || 38–27  |- style="text-align:center;background-color:#ffbbbb"| 66 || June 17 || Yankees || 9–11 || Washington || Rivera (4–4) || || 45,085 || 38–28  |- style="text-align:center;background-color:#ffbbbb"| 67 || June 18 || Yankees || 2–3 || Washington || Wang (7–3)  || || 45,157 || 38–29 |- style="text-align:center;background-color:#ffbbbb"| 68 || June 19 || Yankees || 2–4 || Philadelphia || Johnson (8–6) || || 44,747 || 38–30 |- style="text-align:center;background-color:#bbffbb"| 69 || June 20 || Yankees || 9–7 || Philadelphia || Beam (1–0) || Rivera (14) || 44,775 || 39–30  |- style="text-align:center;background-color:#bbffbb"| 70 || June 21 || Yankees || 5–0 || Philadelphia || Wright (4–4) || || 45,111 || 40–30  |- style="text-align:center;background-color:#bbffbb"| 71 || June 23 || Florida || 5–6 || Yankees || Wang (8–3) || Rivera (15) || 54,025 || 41–30  |- style="text-align:center;background-color:#bbbbbb"| – || June 24 || Florida ||  || Yankees || Postponed || || ||   41–30  |- style="text-align:center;background-color:#bbffbb"| 72 || June 25 || Florida || 1–2 || Yankees || Mussina (9–3) || Rivera (16) || 53,615 || 42–30  |- style="text-align:center;background-color:#bbffbb"| 73 || June 25 || Florida || 1–2 || Yankees || Chacón (4–2) || || 6,809 || 42–31  |- style="text-align:center;background-color:#bbffbb"| 74 || June 26 || Atlanta || 2–5 || Yankees || Johnson (9–6) || Rivera (17)|| 54,226 || 43–31|- style="text-align:center;background-color:#ffbbbb"| 75 || June 27 || Atlanta || 5–2 || Yankees || Wright (4–5) || || 53,763 || 43–32  |- style="text-align:center;background-color:#bbffbb"| 76 || June 28 || Atlanta || 3–4 || Yankees || Villone (1–1) || || 54,186 || 44–32  |- style="text-align:center;background-color:#bbffbb"| 77 || June 30 || Mets || 0–2 || Yankees || Villone (2–1) || Rivera (18) || 55,245 || 45–32 |- style="text-align:center;background-color:#ffbbbb"| 78 || July 1 || Mets || 8–3 || Yankees || Johnson (9–7) || || 55,132 || 45–33|- style="text-align:center;background-color:#bbffbb"| 79 || July 2 || Mets || 7–16 || Yankees || Villone (3–1) || || 55,212 || 46–33|- style="text-align:center;background-color:#ffbbbb"| 80 || July 3 || Yankees || 2–5 || Cleveland || Wang (8–4) ||  || 42,706 || 46–34|- style="text-align:center;background-color:#ffbbbb"| 81 || July 4 || Yankees || 1–19 || Cleveland || Chacón (4–3) || || 29,638 || 46–35 |- style="text-align:center;background-color:#bbffbb"| 82 || July 5 || Yankees || 11–3 || Cleveland || Mussina (10–3) || || 31,265 || 47–35  |- style="text-align:center;background-color:#bbffbb"| 83 || July 6 || Yankees || 10–4 || Cleveland || Johnson (10–7) || || 34,982 || 48–35  |- style="text-align:center;background-color:#bbffbb"| 84 || July 7 || Yankees || 1–0 || Tampa Bay || Wright (5–5) || Rivera (19) || 25,584 || 49–35  |- style="text-align:center;background-color:#bbffbb"| 85 || July 8 || Yankees || 5–1 || Tampa Bay || Wang (9–4) || || 34,982 || 50–35  |- style="text-align:center;background-color:#ffbbbb"| 86 || July 9 || Yankees || 5–6 || Tampa Bay || Proctor (2–2) || || 31,583 || 50–36 |- style="text-align:center;background-color:#bbffbb"| 87 || July 14 || White Sox || 5–6 || Yankees || Farnsworth (3–4) || Rivera (20) || 55,069 || 51–36  |- style="text-align:center;background-color:#bbffbb"| 88 || July 15 || White Sox || 3–14 || Yankees || Mussina (11–3) || || 55,019 || 52–36  |- style="text-align:center;background-color:#bbffbb"| 89 || July 16 || White Sox || 4–6 || Yankees || Wright (6–5) || Rivera (21) || 53,781 || 53–36 |- style="text-align:center;background-color:#bbffbb"| 90 || July 17 || Seattle || 2–4 || Yankees || Wang (10–4) || Rivera (22) || 53,444 || 54–36 |- style="text-align:center;background-color:#bbffbb"| 91 || July 18 || Seattle || 4–5 || Yankees || Proctor (3–2) || || 52,992 || 55–36|- style="text-align:center;background-color:#ffbbbb"| 92 || July 19 || Seattle || 3–2 || Yankees || Johnson (10–8) || || 54,121 || 55–37 |- style="text-align:center;background-color:#ffbbbb"| 93 || July 20 || Yankees || 4–5 || Toronto || Rivera (4–5) || || 42,336 || 55–38 |- style="text-align:center;background-color:#ffbbbb"| 94 || July 21 || Yankees || 3–7 || Toronto || Wright (6–6) || || 40,149 || 55–39  |- style="text-align:center;background-color:#bbffbb"| 95 || July 22 || Yankees || 5–4 || Toronto || Wang (11–4) || Rivera (23) || 50,014 || 56–39  |- style="text-align:center;background-color:#ffbbbb"| 96 || July 23 || Yankees || 5–13 || Toronto || Ponson (0–1) || || 42,337 || 56–40  |- style="text-align:center;background-color:#bbffbb"| 97 || July 24 || Yankees || 6–2 || Texas || Johnson (11–8) ||  || 43,206 || 57–40 |- style="text-align:center;background-color:#bbffbb"| 98 || July 25 || Yankees || 7–4 || Texas || Mussina (12–3) || Rivera (24) || 42,171 || 58–40  |- style="text-align:center;background-color:#bbffbb"| 99 || July 26 || Yankees || 8–7 || Texas || Chacón (4–3) || Rivera (25) || 43,527 || 59–40|- style="text-align:center;background-color:#bbffbb"| 100 || July 28 || Tampa Bay || 0–6 || Yankees || Wang (12–4) || || 53,979 || 60–40  |- style="text-align:center;background-color:#ffbbbb"| 101 || July 29 || Tampa Bay || 19–6 || Yankees || Johnson (11–9) || || 54,485 || 60–41|- style="text-align:center;background-color:#bbffbb"| 102 || July 30 || Tampa Bay || 2–4 || Yankees || Mussina (13–3) || Rivera (26) || 54,102 || 61–41 |- style="text-align:center;background-color:#bbffbb"| 103 || August 1 || Toronto || 1–5 || Yankees || Wright (7–6) || || 52,237 || 62–41|- style="text-align:center;background-color:#bbffbb"| 104 || August 2 || Toronto || 2–7 || Yankees || Wang (13–4) || || 54,414 || 63–41|- style="text-align:center;background-color:#bbffbb"| 105 || August 3 || Toronto || 1–8 || Yankees || Lidle (1–0) ||  || 52,156 || 64–41|- style="text-align:center;background-color:#bbffbb"| 106 || August 4 || Yankees || 5–4 || Baltimore || Proctor (4–2) || Rivera (27) || 44,840 || 65–41 |- style="text-align:center;background-color:#ffbbbb"| 107 || August 5 || Yankees || 0–5 || Baltimore || Mussina (13–4) || || 49,159 || 65–42  |- style="text-align:center;background-color:#bbffbb"| 108 || August 6 || Yankees || 6–1 || Baltimore || Wright (8–6) || Rivera (28)|| 45,563 || 66–42  |- style="text-align:center;background-color:#ffbbbb"| 109 || August 8 || Yankees || 5–6 || White Sox || Proctor (4–3) || || 39,872 || 66–43  |- style="text-align:center;background-color:#bbffbb"| 110 || August 9 || Yankees || 7–6 || White Sox || Johnson (12–9) || Rivera (29) || 39,406 || 66–44 |- style="text-align:center;background-color:#ffbbbb"| 111 || August 10 || Yankees || 4–5 || White Sox || Mussina (13–5) || || 39,289 || 67–44  |- style="text-align:center;background-color:#ffbbbb"| 112 || August 11 || Angels || 7–4 || Yankees || Lidle (1–1) || || 54,450 || 67–45|- style="text-align:center;background-color:#bbffbb"| 113 || August 12 || Angels || 2–5 || Yankees || Wright (9–6) || Rivera (30) || 54,157 || 68–45 |- style="text-align:center;background-color:#ffbbbb"| 114 || August 13 || Angels || 5–3 || Yankees || Wang (13–5) || || 54,309 || 68–46|- style="text-align:center;background-color:#bbffbb"| 115 || August 14 || Angels || 2–7 || Yankees || Johnson (13–9) || || 52,100 || 69–46  |- style="text-align:center;background-color:#bbffbb"| 116 || August 15 || Baltimore || 3–6 || Yankees || Mussina (11–3) || Rivera (31) || 52,418 || 70–46  |- style="text-align:center;background-color:#ffbbbb"| 117 || August 16 || Baltimore || 3–2 || Yankees || Proctor (5–3) || || 54,244 || 70–47 |- style="text-align:center;background-color:#ffbbbb"| 118 || August 17 || Baltimore || 12–2 || Yankees || Lidle (1–2) || || 54,333 || 70–48 |- style="text-align:center;background-color:#bbffbb"| 119 || August 18 || Yankees || 12–4 || Boston || Wang (14–5) || || 36,325 || 71–48|- style="text-align:center;background-color:#bbffbb"| 120 || August 18 || Yankees || 14–11 || Boston || Myers (1–0) || || 36,071 || 72–48|- style="text-align:center;background-color:#bbffbb"| 121 || August 19 || Yankees || 13–5 || Boston || Johnson (14–9) || || 35,738 || 73–48 |- style="text-align:center;background-color:#bbffbb"| 122 || August 20 || Yankees || 8–5 || Boston || Rivera (5–5) || || 36,155 || 74–48 |- style="text-align:center;background-color:#bbffbb"| 123 || August 21 || Yankees || 2–1 || Boston || Lidle (2–2) || Farnsworth (2) || 35,829 || 75–48 |- style="text-align:center;background-color:#ffbbbb"| 124 || August 22 || Yankees || 5–6 || Seattle || Villone (3–2) || || 42,454 || 75–49  |- style="text-align:center;background-color:#bbffbb"| 125 || August 23 || Yankees || 9–2 || Seattle || Wang (15–5) || || 41,380 || 76–49  |- style="text-align:center;background-color:#ffbbbb"| 126 || August 24 || Yankees || 2–4 || Seattle || Johnson (14–10) ||  || 44,634 || 76–50 |- style="text-align:center;background-color:#ffbbbb"| 127 || August 25 || Yankees || 5–6 || Angels || Myers (1–1) || || 44,253 || 77–51  |- style="text-align:center;background-color:#ffbbbb"| 128 || August 26 || Yankees || 7–12 || Angels || Bruney (0–1) || || 44,185 || 78–52|- style="text-align:center;background-color:#bbffbb"| 129 || August 27 || Yankees || 11–8 || Angels || Karstens (1–0) || || 44,225 || 79–52 |- style="text-align:center;background-color:#bbbbbb"| – || August 29 || Yankees || || Detroit || Postponed || || ||  79–52 |- style="text-align:center;background-color:#bbffbb"| 130 || August 30 || Yankees || 2–0 || Detroit || Wang (16–5) || Rivera (32) || 52,585 || 80–52 |- style="text-align:center;background-color:#ffbbbb"| 131 || August 30 || Yankees || 3–5 || Detroit || Proctor (5–4) || || 54,509 || 80–53|- style="text-align:center;background-color:#bbffbb"| 132 || August 31 || Yankees || 6–4 || Detroit || Johnson (15–10) || Rivera (33)|| 54,771 || 81–53|- style="text-align:center;background-color:#bbffbb"| 133 || September 1 || Minnesota || 1–8 || Yankees || Lidle (3–2) || || 54,311 || 80–53|- style="text-align:center;background-color:#ffbbbb"| 134 || September 2 || Minnesota || 6–1 || Yankees || Karstens (1–1) || || 53,220 || 80–54|- style="text-align:center;background-color:#bbffbb"| 135 || September 3 || Minnesota || 1–10 || Yankees || Rasner (1–0) ||  || 55,155 || 81–54|- style="text-align:center;background-color:#bbffbb"| 136 || September 4 || Yankees || 12–5 || Kansas City || Beam (2–0) || || 27,123 || 82–54 |- style="text-align:center;background-color:#ffbbbb"| 137 || September 5 || Yankees || 0–5 || Kansas City || Mussina (13–6) || || 25,104 || 82–55  |- style="text-align:center;background-color:#bbffbb"| 138 || September 6 || Yankees || 8–3 || Kansas City || Johnson (16–10) ||  || 16,421 || 83–55  |- style="text-align:center;background-color:#ffbbbb"| 139 || September 8 || Yankees || 4–9 || Baltimore || Lidle (3–3) || || 36,214 || 83–56  |- style="text-align:center;background-color:#bbffbb"| 140 || September 9 || Yankees || 3–2 || Baltimore || Wang (17–5) || Farnsworth (3)|| 45,827 || 84–56 |- style="text-align:center;background-color:#bbffbb"| 141 || September 10 || Yankees || 9–4 || Baltimore || Wright (10–7) || || 40,125 || 85–56|- style="text-align:center;background-color:#bbffbb"| 142 || September 11 || Yankees || 9–6 || Baltimore || Johnson (17–10) || Farnsworth (4) || 21,742 || 86–56 |- style="text-align:center;background-color:#bbffbb"| 143 || September 12 || Tampa Bay || 4–12 || Yankees || Mussina (14–6) || || 54,570 || 87–56 |- style="text-align:center;background-color:#bbffbb"| 144 || September 13 || Tampa Bay || 4–8 || Yankees || Bruney (1–1) || || 52,265 || 88–56|- style="text-align:center;background-color:#bbffbb"| 145 || September 14 || Tampa Bay || 4–7 || Yankees || Rasner (2–0) || || 51,965 || 89–56  |- style="text-align:center;background-color:#bbbbbb"| – || September 15 || Boston || || Yankees || Postponed || ||  ||    89–56  |- style="text-align:center;background-color:#ffbbbb"| 146 || September 16 || Boston || 5–2 || Yankees || Wang (17–6) || || 55,091 || 89–57  |- style="text-align:center;background-color:#bbffbb"| 147 || September 16 || Boston || 5–7 || Yankees || Proctor (6–4) || Farnsworth (5) || 55,167 || 90–57  |- style="text-align:center;background-color:#ffbbbb"| 148 || September 17 || Boston || 6–3 || Yankees || Villone (3–3) || || 55,002 || 90–58  |- style="text-align:center;background-color:#ffbbbb"| 149 || September 17 || Boston || 5–4 || Yankees || Farnsworth (3–5) || || 55,221 || 90–59|- style="text-align:center;background-color:#bbffbb"| 150 || September 18 || Yankees || 7–6 || Toronto || Rasner (3–0) || Veras (1) || 32,286 || 91–59  |- style="text-align:center;background-color:#bbffbb"| 151 || September 19 || Yankees || 6–3 || Toronto || Karstens (2–1) || Farnsworth (6) || 30,793 || 92–59 |- style="text-align:center;background-color:#ffbbbb"| 152 || September 20 || Yankees || 2–3 || Toronto || Henn (0–1) || || 33,029 || 92–60  |- style="text-align:center;background-color:#bbffbb"| 153 || September 22 || Yankees || 4–1 || Tampa Bay || Wang (18–6) || Rivera (34) || 26,337 || 93–60 |- style="text-align:center;background-color:#ffbbbb"| 154 || September 23 || Yankees || 0–8 || Tampa Bay || Johnson (17–11) || || 33,492 || 93–61  |- style="text-align:center;background-color:#ffbbbb"| 155 || September 24 || Yankees || 4–11 || Tampa Bay || Mussina (14–7) || || 31,422 || 93–62  |- style="text-align:center;background-color:#bbffbb"| 156 || September 25 || Yankees || 16–1 || Tampa Bay || Wright (11–7) || || 24,053 || 94–62  |- style="text-align:center;background-color:#bbffbb"| 157 || September 26 || Baltimore || 4–5 || Yankees || Lidle (4–3) || Proctor (1) || 53,420 || 95–62|- style="text-align:center;background-color:#bbffbb"| 158 || September 27 || Baltimore || 5–16 || Yankees || Wang (19–6) || || 53,040 || 96–62  |- style="text-align:center;background-color:#ffbbbb"| 159 || September 28 || Baltimore || 7–1 || Yankees || Rasner (3–1) || || 54,046 || 96–63  |- style="text-align:center;background-color:#bbffbb"| 160 || September 29 || Toronto || 2–7 || Yankees || Mussina (15–7) || || 52,331 || 97–63  |- style="text-align:center;background-color:#ffbbbb"| 161 || September 30 || Toronto || 6–5 || Yankees || Myers (1–2) || || 54,576 || 97–64 |- style="text-align:center;background-color:#ffbbbb"| 162 || October 1 || Toronto || 5–7 || Yankees || Farnsworth (3–6) || || 54,886 || 97–65

text: |- style="text-align:center;background-color:#bbffbb"| 1 || April 3 || Yankees || 15–2 ||

text: Oakland

text: Johnson

text: (1–0) || || 35,077 || 1–0 |- style="text-align:center;background-color:#ffbbbb"| 2 || April 4 || Yankees || 3–4 ||

text: Oakland

text: Proctor

text: (0–1) || || 31,284 || 1–1 |- style="text-align:center;background-color:#ffbbbb"| 3 || April 5 || Yankees || 4–9 ||

text: Oakland

text: Wright

text: (0–1) || || 30,165 || 1–2 |- style="text-align:center;background-color:#ffbbbb"| 4 || April 7 || Yankees || 1–4 ||

text: Angels

text: Chacón

text: (0–1) || || 44,221 || 1–3 |- style="text-align:center;background-color:#ffbbbb"| 5 || April 8 || Yankees || 2–3 ||

text: Angels

text: Johnson

text: (1–1) || || 44,044 || 1–4 |- style="text-align:center;background-color:#bbffbb"| 6 || April 9 || Yankees || 10–1 ||

text: Angels

text: Mussina

text: (1–0) || || 44,020 || 2–4 |- style="text-align:center;background-color:#bbffbb"| 7 || April 11 ||

text: Kansas City

text: || 7–9 || Yankees ||

text: Proctor

text: (1–1) ||

text: Rivera

text: (1) || 54,698 || 3–4 |- style="text-align:center;background-color:#bbffbb"| 8 || April 12 ||

text: Kansas City

text: || 5–12 || Yankees ||

text: Chacón

text: (1–1) || || 41,448 || 4–4  |- style="text-align:center;background-color:#bbffbb"| 9 || April 13 ||

text: Kansas City

text: || 3–9 || Yankees ||

text: Johnson

text: (2–1) || || 54,381 || 5–4 |- style="text-align:center;background-color:#ffbbbb"| 10 || April 14 || Yankees || 1–5 ||

text: Minnesota

text: Mussina

text: (1–1) || || 30,622 || 5–5  |- style="text-align:center;background-color:#ffbbbb"| 11 || April 15 || Yankees || 5–6 ||

text: Minnesota

text: Rivera

text: (0–1) || || 42,316 || 5–6 |- style="text-align:center;background-color:#bbffbb"| 12 || April 16 || Yankees || 9–3 ||

text: Minnesota

text: Wang

text: (1–0) || || 22,627 || 6–6 |- style="text-align:center;background-color:#ffbbbb"| 13 || April 18 || Yankees || 5–10 ||

text: Toronto

text: Johnson

text: (2–2) || || 48,776 || 6–7 |- style="text-align:center;background-color:#bbffbb"| 14 || April 19 || Yankees || 3–1 ||

text: Toronto

text: Mussina

text: (2–1) ||

text: Rivera

text: (2) || 32,886 || 7–7 |- style="text-align:center;background-color:#ffbbbb"| 15 || April 21 ||

text: Baltimore

text: || 6–5 || Yankees ||

text: Wang

text: (1–1) || || 51,282 || 7–8  |- style="text-align:center;background-color:#bbffbb"| 16 || April 22 ||

text: Baltimore

text: || 1–6 || Yankees ||

text: Chacón

text: (2–1) || || 50,872 || 8–8 |- style="text-align:center;background-color:#bbffbb"| 17 || April 23 ||

text: Baltimore

text: || 1–7 || Yankees ||

text: Johnson

text: (3–2) || || 47,996 || 9–8 |- style="text-align:center;background-color:#bbffbb"| 18 || April 25 ||

text: Tampa Bay

text: || 1–9 || Yankees ||

text: Mussina

text: (3–1) || || 36,334 || 10–8 |- style="text-align:center;background-color:#ffbbbb"| 19 || April 26 ||

text: Tampa Bay

text: || 4–2 || Yankees ||

text: Rivera

text: (0–2) || || 35,642 || 10–9 |- style="text-align:center;background-color:#bbffbb"| 20 || April 27 ||

text: Tampa Bay

text: || 1–4 || Yankees ||

text: Chacón

text: (2–1) ||

text: Rivera

text: (3) || 45,826 || 11–9 |- style="text-align:center;background-color:#ffbbbb"| 21 || April 28 ||

text: Toronto

text: || 7–2 || Yankees ||

text: Wright

text: (0–2) || || 47,204 || 11–10  |- style="text-align:center;background-color:#bbffbb"| 22 || April 29 ||

text: Toronto

text: || 6–17 || Yankees ||

text: Johnson

text: (4–2) || || 50,119 || 12–10 |- style="text-align:center;background-color:#bbffbb"| 23 || April 30 ||

text: Toronto

text: || 1–4 || Yankees ||

text: Mussina

text: (4–1) ||

text: Rivera

text: (4) || 52,954 || 13–10 |- style="text-align:center;background-color:#ffbbbb"| 24 || May 1 || Yankees || 7–3 ||

text: Boston

text: Small

text: (0–1) || || 36,339 || 13–11|- style="text-align:center;background-color:#bbbbbb"| – || May 2 || Yankees || ||

text: Boston

text: || Postponed || || || 13–11|- style="text-align:center;background-color:#bbffbb"| 25 || May 3 || Yankees || 4–2 ||

text: Tampa Bay

text: Farnsworth

text: (1–0) ||

text: Rivera

text: (5) || 17,059 || 14–11|- style="text-align:center;background-color:#bbffbb"| 26 || May 4 || Yankees || 10–5 ||

text: Tampa Bay

text: Johnson

text: (5–2) || || 22,164 || 15–11 |- style="text-align:center;background-color:#bbffbb"| 27 || May 5 || Yankees || 8–7 ||

text: Texas

text: Mussina

text: (5–1) ||

text: Rivera

text: (6) || 39,002 || 16–11  |- style="text-align:center;background-color:#bbffbb"| 28 || May 6 || Yankees || 6–1 ||

text: Texas

text: Chacón

text: (4–1) || || 48,634 || 17–11  |- style="text-align:center;background-color:#bbffbb"| 29 || May 7 || Yankees || 8–5 ||

text: Texas

text: Wang

text: (2–1) || || 46,013 || 18–11  |- style="text-align:center;background-color:#ffbbbb"| 30 || May 9 ||

text: Boston

text: || 14–3 || Yankees ||

text: Johnson

text: (5–3) || || 54,688 || 18–12 |- style="text-align:center;background-color:#bbffbb"| 31 || May 10 ||

text: Boston

text: || 3–7 || Yankees ||

text: Mussina

text: (6–1) || || 54,769 || 19–12  |- style="text-align:center;background-color:#ffbbbb"| 32 || May 11 ||

text: Boston

text: || 5–3 || Yankees ||

text: Villone

text: (0–1) || || 54,956 || 19–13  |- style="text-align:center;background-color:#bbffbb"| 33 || May 12 ||

text: Oakland

text: || 0–2 || Yankees ||

text: Wang

text: (3–1) ||

text: Rivera

text: (7) || 47,797 || 20–13  |- style="text-align:center;background-color:#bbffbb"| 34 || May 13 ||

text: Oakland

text: || 3–4 || Yankees ||

text: Wright

text: (1–2) ||

text: Farnsworth

text: (1) || 53,907 || 21–13  |- style="text-align:center;background-color:#ffbbbb"| 35 || May 14 ||

text: Oakland

text: || 6–1 || Yankees ||

text: Johnson

text: (5–4) || ||  52,587 || 21–14  |- style="text-align:center;background-color:#ffbbbb"| 36 || May 15 ||

text: Texas

text: || 4–3 || Yankees ||

text: Farnsworth

text: (1–1) || || 41,115 || 21–15  |- style="text-align:center;background-color:#bbffbb"| 37 || May 16 ||

text: Texas

text: || 13–14 || Yankees ||

text: Rivera

text: (1–2) || || 40,757 || 22–15  |- style="text-align:center;background-color:#bbffbb"| 38 || May 17 ||

text: Texas

text: || 3–4 || Yankees ||

text: Wang

text: (4–1) ||

text: Rivera

text: (8) || 52,547 || 23–15  |- style="text-align:center;background-color:#ffbbbb"| 39 || May 18 ||

text: Texas

text: || 6–2 || Yankees ||

text: Wright

text: (1–3) || || 47,194 || 23–16 |- style="text-align:center;background-color:#ffbbbb"| 40 || May 19 || Yankees || 6–7 ||

text: Mets

text: Rivera

text: (1–3) || || 56,289 || 23–17  |- style="text-align:center;background-color:#bbffbb"| 41 || May 20 || Yankees || 5–4 ||

text: Mets

text: Rivera

text: (2–3) || || 56,185 || 24–17  |- style="text-align:center;background-color:#ffbbbb"| 42 || May 21 || Yankees || 3–4 ||

text: Mets

text: Small

text: (0–2) || || 56,205 || 24–18  |- style="text-align:center;background-color:#ffbbbb"| 43 || May 22 || Yankees || 5–9 ||

text: Boston

text: Wang

text: (4–2) || || 36,342 || 24–19  |- style="text-align:center;background-color:#bbffbb"| 44 || May 23 || Yankees || 7–5 ||

text: Boston

text: Wright

text: (2–3) ||

text: Rivera

text: (9) || 36,290 || 25–19  |- style="text-align:center;background-color:#bbffbb"| 45 || May 24 || Yankees || 8–6 ||

text: Boston

text: Johnson

text: (6–4) ||

text: Rivera

text: (10) || 36,375 || 26–19  |- style="text-align:center;background-color:#ffbbbb"| 46 || May 26 ||

text: Kansas City

text: || 7–6 || Yankees ||

text: Farnsworth

text: (1–2) || || 48,035 || 26–20|- style="text-align:center;background-color:#bbffbb"| 47 || May 27 ||

text: Kansas City

text: || 4–15 || Yankees ||

text: Wang

text: (5–2) || || 54,216 || 27–20  |- style="text-align:center;background-color:#bbffbb"| 48 || May 28 ||

text: Kansas City

text: || 5–6 || Yankees ||

text: Wright

text: (3–3) ||

text: Rivera

text: (11) || 54,372 || 28–20  |- style="text-align:center;background-color:#bbffbb"| 49 || May 29 || Yankees || 4–0 ||

text: Detroit

text: Johnson

text: (7–4) || || 39,759 || 29–20 |- style="text-align:center;background-color:#bbffbb"| 50 || May 30 || Yankees || 11–6 ||

text: Detroit

text: Rivera

text: (3–3) || || 24,765 || 30–20 |- style="text-align:center;background-color:#bbffbb"| 51 || May 31 || Yankees || 6–1 ||

text: Detroit

text: Mussina

text: (7–1) || || 23,737 || 31–20 |- style="text-align:center;background-color:#ffbbbb"| 52 || June 1 || Yankees || 6–7 ||

text: Detroit

text: Farnsworth

text: (1–3) || || 27,231 || 31–21|- style="text-align:center;background-color:#bbffbb"| 53 || June 2 || Yankees || 6–5 ||

text: Baltimore

text: Farnsworth

text: (2–3) || || 48,168 || 32–21|- style="text-align:center;background-color:#bbffbb"| 54 || June 3 || Yankees || 6–5 ||

text: Baltimore

text: Proctor

text: (2–1) ||

text: Wang

text: (1) || 48,195 || 33–21|- style="text-align:center;background-color:#ffbbbb"| 55 || June 4 || Yankees || 4–11 ||

text: Baltimore

text: Small

text: (0–3) || || 47,535 || 33–22 |- style="text-align:center;background-color:#bbffbb"| 56 || June 5 ||

text: Boston

text: || 5–13 || Yankees ||

text: Mussina

text: (8–1) || || 55,246 || 34–22  |- style="text-align:center;background-color:#bbffbb"| 57 || June 6 ||

text: Boston

text: || 1–2 || Yankees ||

text: Wang

text: (6–2) ||

text: Rivera

text: (12) || 55,141 || 35–22  |- style="text-align:center;background-color:#bbbbbb"| – || June 7 ||

text: Boston

text: ||  || Yankees || Postponed || || ||    35–22  |- style="text-align:center;background-color:#ffbbbb"| 58 || June 8 ||

text: Boston

text: || 9–3 || Yankees ||

text: Wright

text: (3–4) || || 55,225 || 35–23 |- style="text-align:center;background-color:#ffbbbb"| 59 || June 9 ||

text: Oakland

text: || 6–5 || Yankees ||

text: Johnson

text: (7–5) || || 53,837 || 35–24 |- style="text-align:center;background-color:#ffbbbb"| 60 || June 10 ||

text: Oakland

text: || 5–2 || Yankees ||

text: Mussina

text: (8–2) || || 53,779 || 35–25  |- style="text-align:center;background-color:#ffbbbb"| 61 || June 11 ||

text: Oakland

text: || 6–5 || Yankees ||

text: Farnsworth

text: (2–4) || || 54,570 || 35–26  |- style="text-align:center;background-color:#bbffbb"| 62 || June 13 ||

text: Cleveland

text: || 0–1 || Yankees ||

text: Wang

text: (7–2) ||

text: Rivera

text: (13) || 50,365 || 36–26  |- style="text-align:center;background-color:#bbffbb"| 63 || June 14 ||

text: Cleveland

text: || 1–6 || Yankees ||

text: Johnson

text: (7–5)  || || 53,448 || 37–26  |- style="text-align:center;background-color:#ffbbbb"| 64 || June 15 ||

text: Cleveland

text: || 8–4 || Yankees ||

text: Mussina

text: (8–3) || || 54,648 || 37–27  |- style="text-align:center;background-color:#bbffbb"| 65 || June 16 || Yankees || 7–5 ||

text: Washington

text: Rivera

text: (4–3) || || 44,749 || 38–27  |- style="text-align:center;background-color:#ffbbbb"| 66 || June 17 || Yankees || 9–11 ||

text: Washington

text: Rivera

text: (4–4) || || 45,085 || 38–28  |- style="text-align:center;background-color:#ffbbbb"| 67 || June 18 || Yankees || 2–3 ||

text: Washington

text: Wang

text: (7–3)  || || 45,157 || 38–29 |- style="text-align:center;background-color:#ffbbbb"| 68 || June 19 || Yankees || 2–4 ||

text: Philadelphia

text: Johnson

text: (8–6) || || 44,747 || 38–30 |- style="text-align:center;background-color:#bbffbb"| 69 || June 20 || Yankees || 9–7 ||

text: Philadelphia

text: Beam

text: (1–0) ||

text: Rivera

text: (14) || 44,775 || 39–30  |- style="text-align:center;background-color:#bbffbb"| 70 || June 21 || Yankees || 5–0 ||

text: Philadelphia

text: Wright

text: (4–4) || || 45,111 || 40–30  |- style="text-align:center;background-color:#bbffbb"| 71 || June 23 ||

text: Florida

text: || 5–6 || Yankees ||

text: Wang

text: (8–3) ||

text: Rivera

text: (15) || 54,025 || 41–30  |- style="text-align:center;background-color:#bbbbbb"| – || June 24 ||

text: Florida

text: ||  || Yankees || Postponed || || ||   41–30  |- style="text-align:center;background-color:#bbffbb"| 72 || June 25 ||

text: Florida

text: || 1–2 || Yankees ||

text: Mussina

text: (9–3) ||

text: Rivera

text: (16) || 53,615 || 42–30  |- style="text-align:center;background-color:#bbffbb"| 73 || June 25 ||

text: Florida

text: || 1–2 || Yankees ||

text: Chacón

text: (4–2) || || 6,809 || 42–31  |- style="text-align:center;background-color:#bbffbb"| 74 || June 26 ||

text: Atlanta

text: || 2–5 || Yankees ||

text: Johnson

text: (9–6) ||

text: Rivera

text: (17)|| 54,226 || 43–31|- style="text-align:center;background-color:#ffbbbb"| 75 || June 27 ||

text: Atlanta

text: || 5–2 || Yankees ||

text: Wright

text: (4–5) || || 53,763 || 43–32  |- style="text-align:center;background-color:#bbffbb"| 76 || June 28 ||

text: Atlanta

text: || 3–4 || Yankees ||

text: Villone

text: (1–1) || || 54,186 || 44–32  |- style="text-align:center;background-color:#bbffbb"| 77 || June 30 ||

text: Mets

text: || 0–2 || Yankees ||

text: Villone

text: (2–1) ||

text: Rivera

text: (18) || 55,245 || 45–32 |- style="text-align:center;background-color:#ffbbbb"| 78 || July 1 ||

text: Mets

text: || 8–3 || Yankees ||

text: Johnson

text: (9–7) || || 55,132 || 45–33|- style="text-align:center;background-color:#bbffbb"| 79 || July 2 ||

text: Mets

text: || 7–16 || Yankees ||

text: Villone

text: (3–1) || || 55,212 || 46–33|- style="text-align:center;background-color:#ffbbbb"| 80 || July 3 || Yankees || 2–5 ||

text: Cleveland

text: Wang

text: (8–4) ||  || 42,706 || 46–34|- style="text-align:center;background-color:#ffbbbb"| 81 || July 4 || Yankees || 1–19 ||

text: Cleveland

text: Chacón

text: (4–3) || || 29,638 || 46–35 |- style="text-align:center;background-color:#bbffbb"| 82 || July 5 || Yankees || 11–3 ||

text: Cleveland

text: Mussina

text: (10–3) || || 31,265 || 47–35  |- style="text-align:center;background-color:#bbffbb"| 83 || July 6 || Yankees || 10–4 ||

text: Cleveland

text: Johnson

text: (10–7) || || 34,982 || 48–35  |- style="text-align:center;background-color:#bbffbb"| 84 || July 7 || Yankees || 1–0 ||

text: Tampa Bay

text: Wright

text: (5–5) ||

text: Rivera

text: (19) || 25,584 || 49–35  |- style="text-align:center;background-color:#bbffbb"| 85 || July 8 || Yankees || 5–1 ||

text: Tampa Bay

text: Wang

text: (9–4) || || 34,982 || 50–35  |- style="text-align:center;background-color:#ffbbbb"| 86 || July 9 || Yankees || 5–6 ||

text: Tampa Bay

text: Proctor

text: (2–2) || || 31,583 || 50–36 |- style="text-align:center;background-color:#bbffbb"| 87 || July 14 ||

text: White Sox

text: || 5–6 || Yankees ||

text: Farnsworth

text: (3–4) ||

text: Rivera

text: (20) || 55,069 || 51–36  |- style="text-align:center;background-color:#bbffbb"| 88 || July 15 ||

text: White Sox

text: || 3–14 || Yankees ||

text: Mussina

text: (11–3) || || 55,019 || 52–36  |- style="text-align:center;background-color:#bbffbb"| 89 || July 16 ||

text: White Sox

text: || 4–6 || Yankees ||

text: Wright

text: (6–5) ||

text: Rivera

text: (21) || 53,781 || 53–36 |- style="text-align:center;background-color:#bbffbb"| 90 || July 17 ||

text: Seattle

text: || 2–4 || Yankees ||

text: Wang

text: (10–4) ||

text: Rivera

text: (22) || 53,444 || 54–36 |- style="text-align:center;background-color:#bbffbb"| 91 || July 18 ||

text: Seattle

text: || 4–5 || Yankees ||

text: Proctor

text: (3–2) || || 52,992 || 55–36|- style="text-align:center;background-color:#ffbbbb"| 92 || July 19 ||

text: Seattle

text: || 3–2 || Yankees ||

text: Johnson

text: (10–8) || || 54,121 || 55–37 |- style="text-align:center;background-color:#ffbbbb"| 93 || July 20 || Yankees || 4–5 ||

text: Toronto

text: Rivera

text: (4–5) || || 42,336 || 55–38 |- style="text-align:center;background-color:#ffbbbb"| 94 || July 21 || Yankees || 3–7 ||

text: Toronto

text: Wright

text: (6–6) || || 40,149 || 55–39  |- style="text-align:center;background-color:#bbffbb"| 95 || July 22 || Yankees || 5–4 ||

text: Toronto

text: Wang

text: (11–4) ||

text: Rivera

text: (23) || 50,014 || 56–39  |- style="text-align:center;background-color:#ffbbbb"| 96 || July 23 || Yankees || 5–13 ||

text: Toronto

text: Ponson

text: (0–1) || || 42,337 || 56–40  |- style="text-align:center;background-color:#bbffbb"| 97 || July 24 || Yankees || 6–2 ||

text: Texas

text: Johnson

text: (11–8) ||  || 43,206 || 57–40 |- style="text-align:center;background-color:#bbffbb"| 98 || July 25 || Yankees || 7–4 ||

text: Texas

text: Mussina

text: (12–3) ||

text: Rivera

text: (24) || 42,171 || 58–40  |- style="text-align:center;background-color:#bbffbb"| 99 || July 26 || Yankees || 8–7 ||

text: Texas

text: Chacón

text: (4–3) ||

text: Rivera

text: (25) || 43,527 || 59–40|- style="text-align:center;background-color:#bbffbb"| 100 || July 28 ||

text: Tampa Bay

text: || 0–6 || Yankees ||

text: Wang

text: (12–4) || || 53,979 || 60–40  |- style="text-align:center;background-color:#ffbbbb"| 101 || July 29 ||

text: Tampa Bay

text: || 19–6 || Yankees ||

text: Johnson

text: (11–9) || || 54,485 || 60–41|- style="text-align:center;background-color:#bbffbb"| 102 || July 30 ||

text: Tampa Bay

text: || 2–4 || Yankees ||

text: Mussina

text: (13–3) ||

text: Rivera

text: (26) || 54,102 || 61–41 |- style="text-align:center;background-color:#bbffbb"| 103 || August 1 ||

text: Toronto

text: || 1–5 || Yankees ||

text: Wright

text: (7–6) || || 52,237 || 62–41|- style="text-align:center;background-color:#bbffbb"| 104 || August 2 ||

text: Toronto

text: || 2–7 || Yankees ||

text: Wang

text: (13–4) || || 54,414 || 63–41|- style="text-align:center;background-color:#bbffbb"| 105 || August 3 ||

text: Toronto

text: || 1–8 || Yankees ||

text: Lidle

text: (1–0) ||  || 52,156 || 64–41|- style="text-align:center;background-color:#bbffbb"| 106 || August 4 || Yankees || 5–4 ||

text: Baltimore

text: Proctor

text: (4–2) ||

text: Rivera

text: (27) || 44,840 || 65–41 |- style="text-align:center;background-color:#ffbbbb"| 107 || August 5 || Yankees || 0–5 ||

text: Baltimore

text: Mussina

text: (13–4) || || 49,159 || 65–42  |- style="text-align:center;background-color:#bbffbb"| 108 || August 6 || Yankees || 6–1 ||

text: Baltimore

text: Wright

text: (8–6) ||

text: Rivera

text: (28)|| 45,563 || 66–42  |- style="text-align:center;background-color:#ffbbbb"| 109 || August 8 || Yankees || 5–6 ||

text: White Sox

text: Proctor

text: (4–3) || || 39,872 || 66–43  |- style="text-align:center;background-color:#bbffbb"| 110 || August 9 || Yankees || 7–6 ||

text: White Sox

text: Johnson

text: (12–9) ||

text: Rivera

text: (29) || 39,406 || 66–44 |- style="text-align:center;background-color:#ffbbbb"| 111 || August 10 || Yankees || 4–5 ||

text: White Sox

text: Mussina

text: (13–5) || || 39,289 || 67–44  |- style="text-align:center;background-color:#ffbbbb"| 112 || August 11 ||

text: Angels

text: || 7–4 || Yankees ||

text: Lidle

text: (1–1) || || 54,450 || 67–45|- style="text-align:center;background-color:#bbffbb"| 113 || August 12 ||

text: Angels

text: || 2–5 || Yankees ||

text: Wright

text: (9–6) ||

text: Rivera

text: (30) || 54,157 || 68–45 |- style="text-align:center;background-color:#ffbbbb"| 114 || August 13 ||

text: Angels

text: || 5–3 || Yankees ||

text: Wang

text: (13–5) || || 54,309 || 68–46|- style="text-align:center;background-color:#bbffbb"| 115 || August 14 ||

text: Angels

text: || 2–7 || Yankees ||

text: Johnson

text: (13–9) || || 52,100 || 69–46  |- style="text-align:center;background-color:#bbffbb"| 116 || August 15 ||

text: Baltimore

text: || 3–6 || Yankees ||

text: Mussina

text: (11–3) ||

text: Rivera

text: (31) || 52,418 || 70–46  |- style="text-align:center;background-color:#ffbbbb"| 117 || August 16 ||

text: Baltimore

text: || 3–2 || Yankees ||

text: Proctor

text: (5–3) || || 54,244 || 70–47 |- style="text-align:center;background-color:#ffbbbb"| 118 || August 17 ||

text: Baltimore

text: || 12–2 || Yankees ||

text: Lidle

text: (1–2) || || 54,333 || 70–48 |- style="text-align:center;background-color:#bbffbb"| 119 || August 18 || Yankees || 12–4 ||

text: Boston

text: Wang

text: (14–5) || || 36,325 || 71–48|- style="text-align:center;background-color:#bbffbb"| 120 || August 18 || Yankees || 14–11 ||

text: Boston

text: Myers

text: (1–0) || || 36,071 || 72–48|- style="text-align:center;background-color:#bbffbb"| 121 || August 19 || Yankees || 13–5 ||

text: Boston

text: Johnson

text: (14–9) || || 35,738 || 73–48 |- style="text-align:center;background-color:#bbffbb"| 122 || August 20 || Yankees || 8–5 ||

text: Boston

text: Rivera

text: (5–5) || || 36,155 || 74–48 |- style="text-align:center;background-color:#bbffbb"| 123 || August 21 || Yankees || 2–1 ||

text: Boston

text: Lidle

text: (2–2) ||

text: Farnsworth

text: (2) || 35,829 || 75–48 |- style="text-align:center;background-color:#ffbbbb"| 124 || August 22 || Yankees || 5–6 ||

text: Seattle

text: Villone

text: (3–2) || || 42,454 || 75–49  |- style="text-align:center;background-color:#bbffbb"| 125 || August 23 || Yankees || 9–2 ||

text: Seattle

text: Wang

text: (15–5) || || 41,380 || 76–49  |- style="text-align:center;background-color:#ffbbbb"| 126 || August 24 || Yankees || 2–4 ||

text: Seattle

text: Johnson

text: (14–10) ||  || 44,634 || 76–50 |- style="text-align:center;background-color:#ffbbbb"| 127 || August 25 || Yankees || 5–6 ||

text: Angels

text: Myers

text: (1–1) || || 44,253 || 77–51  |- style="text-align:center;background-color:#ffbbbb"| 128 || August 26 || Yankees || 7–12 ||

text: Angels

text: Bruney

text: (0–1) || || 44,185 || 78–52|- style="text-align:center;background-color:#bbffbb"| 129 || August 27 || Yankees || 11–8 ||

text: Angels

text: Karstens

text: (1–0) || || 44,225 || 79–52 |- style="text-align:center;background-color:#bbbbbb"| – || August 29 || Yankees || ||

text: Detroit

text: || Postponed || || ||  79–52 |- style="text-align:center;background-color:#bbffbb"| 130 || August 30 || Yankees || 2–0 ||

text: Detroit

text: Wang

text: (16–5) ||

text: Rivera

text: (32) || 52,585 || 80–52 |- style="text-align:center;background-color:#ffbbbb"| 131 || August 30 || Yankees || 3–5 ||

text: Detroit

text: Proctor

text: (5–4) || || 54,509 || 80–53|- style="text-align:center;background-color:#bbffbb"| 132 || August 31 || Yankees || 6–4 ||

text: Detroit

text: Johnson

text: (15–10) ||

text: Rivera

text: (33)|| 54,771 || 81–53|- style="text-align:center;background-color:#bbffbb"| 133 || September 1 ||

text: Minnesota

text: || 1–8 || Yankees ||

text: Lidle

text: (3–2) || || 54,311 || 80–53|- style="text-align:center;background-color:#ffbbbb"| 134 || September 2 ||

text: Minnesota

text: || 6–1 || Yankees ||

text: Karstens

text: (1–1) || || 53,220 || 80–54|- style="text-align:center;background-color:#bbffbb"| 135 || September 3 ||

text: Minnesota

text: || 1–10 || Yankees ||

text: Rasner

text: (1–0) ||  || 55,155 || 81–54|- style="text-align:center;background-color:#bbffbb"| 136 || September 4 || Yankees || 12–5 ||

text: Kansas City

text: Beam

text: (2–0) || || 27,123 || 82–54 |- style="text-align:center;background-color:#ffbbbb"| 137 || September 5 || Yankees || 0–5 ||

text: Kansas City

text: Mussina

text: (13–6) || || 25,104 || 82–55  |- style="text-align:center;background-color:#bbffbb"| 138 || September 6 || Yankees || 8–3 ||

text: Kansas City

text: Johnson

text: (16–10) ||  || 16,421 || 83–55  |- style="text-align:center;background-color:#ffbbbb"| 139 || September 8 || Yankees || 4–9 ||

text: Baltimore

text: Lidle

text: (3–3) || || 36,214 || 83–56  |- style="text-align:center;background-color:#bbffbb"| 140 || September 9 || Yankees || 3–2 ||

text: Baltimore

text: Wang

text: (17–5) ||

text: Farnsworth

text: (3)|| 45,827 || 84–56 |- style="text-align:center;background-color:#bbffbb"| 141 || September 10 || Yankees || 9–4 ||

text: Baltimore

text: Wright

text: (10–7) || || 40,125 || 85–56|- style="text-align:center;background-color:#bbffbb"| 142 || September 11 || Yankees || 9–6 ||

text: Baltimore

text: Johnson

text: (17–10) ||

text: Farnsworth

text: (4) || 21,742 || 86–56 |- style="text-align:center;background-color:#bbffbb"| 143 || September 12 ||

text: Tampa Bay

text: || 4–12 || Yankees ||

text: Mussina

text: (14–6) || || 54,570 || 87–56 |- style="text-align:center;background-color:#bbffbb"| 144 || September 13 ||

text: Tampa Bay

text: || 4–8 || Yankees ||

text: Bruney

text: (1–1) || || 52,265 || 88–56|- style="text-align:center;background-color:#bbffbb"| 145 || September 14 ||

text: Tampa Bay

text: || 4–7 || Yankees ||

text: Rasner

text: (2–0) || || 51,965 || 89–56  |- style="text-align:center;background-color:#bbbbbb"| – || September 15 ||

text: Boston

text: || || Yankees || Postponed || ||  ||    89–56  |- style="text-align:center;background-color:#ffbbbb"| 146 || September 16 ||

text: Boston

text: || 5–2 || Yankees ||

text: Wang

text: (17–6) || || 55,091 || 89–57  |- style="text-align:center;background-color:#bbffbb"| 147 || September 16 ||

text: Boston

text: || 5–7 || Yankees ||

text: Proctor

text: (6–4) ||

text: Farnsworth

text: (5) || 55,167 || 90–57  |- style="text-align:center;background-color:#ffbbbb"| 148 || September 17 ||

text: Boston

text: || 6–3 || Yankees ||

text: Villone

text: (3–3) || || 55,002 || 90–58  |- style="text-align:center;background-color:#ffbbbb"| 149 || September 17 ||

text: Boston

text: || 5–4 || Yankees ||

text: Farnsworth

text: (3–5) || || 55,221 || 90–59|- style="text-align:center;background-color:#bbffbb"| 150 || September 18 || Yankees || 7–6 ||

text: Toronto

text: Rasner

text: (3–0) ||

text: Veras

text: (1) || 32,286 || 91–59  |- style="text-align:center;background-color:#bbffbb"| 151 || September 19 || Yankees || 6–3 ||

text: Toronto

text: Karstens

text: (2–1) ||

text: Farnsworth

text: (6) || 30,793 || 92–59 |- style="text-align:center;background-color:#ffbbbb"| 152 || September 20 || Yankees || 2–3 ||

text: Toronto

text: Henn

text: (0–1) || || 33,029 || 92–60  |- style="text-align:center;background-color:#bbffbb"| 153 || September 22 || Yankees || 4–1 ||

text: Tampa Bay

text: Wang

text: (18–6) ||

text: Rivera

text: (34) || 26,337 || 93–60 |- style="text-align:center;background-color:#ffbbbb"| 154 || September 23 || Yankees || 0–8 ||

text: Tampa Bay

text: Johnson

text: (17–11) || || 33,492 || 93–61  |- style="text-align:center;background-color:#ffbbbb"| 155 || September 24 || Yankees || 4–11 ||

text: Tampa Bay

text: Mussina

text: (14–7) || || 31,422 || 93–62  |- style="text-align:center;background-color:#bbffbb"| 156 || September 25 || Yankees || 16–1 ||

text: Tampa Bay

text: Wright

text: (11–7) || || 24,053 || 94–62  |- style="text-align:center;background-color:#bbffbb"| 157 || September 26 ||

text: Baltimore

text: || 4–5 || Yankees ||

text: Lidle

text: (4–3) ||

text: Proctor

text: (1) || 53,420 || 95–62|- style="text-align:center;background-color:#bbffbb"| 158 || September 27 ||

text: Baltimore

text: || 5–16 || Yankees ||

text: Wang

text: (19–6) || || 53,040 || 96–62  |- style="text-align:center;background-color:#ffbbbb"| 159 || September 28 ||

text: Baltimore

text: || 7–1 || Yankees ||

text: Rasner

text: (3–1) || || 54,046 || 96–63  |- style="text-align:center;background-color:#bbffbb"| 160 || September 29 ||

text: Toronto

text: || 2–7 || Yankees ||

text: Mussina

text: (15–7) || || 52,331 || 97–63  |- style="text-align:center;background-color:#ffbbbb"| 161 || September 30 ||

text: Toronto

text: || 6–5 || Yankees ||

text: Myers

text: (1–2) || || 54,576 || 97–64 |- style="text-align:center;background-color:#ffbbbb"| 162 || October 1 ||

text: Toronto

text: || 5–7 || Yankees ||

text: Farnsworth

text: (3–6) || || 54,886 || 97–65

text: To perform digital colorization, a digitized copy of the best monochrome film print available is needed. Technicians, with the aid of computer software, associate a range of gray levels to each object, and indicate to the computer any movement of the objects within a shot. The software also is capable of sensing variations in the light level from frame to frame and correcting it if necessary. The technician selects a color for each object based on (1) common "memory" colors such as blue sky, white clouds, flesh tones and green grass, and (2) based on any known information about the movie. For example, if there are color publicity photos or props from the movie available to examine, authentic colors may be applied. (3) In the absence of any better information, the technician chooses a color that fits the gray level and that the technician feels is consistent with what a director might have chosen for the scene. The computer software then associates a variation of the basic color with each gray level in the object, while keeping intensity levels the same as in the monochrome original. The software then follows each object from frame to frame, applying the same color until the object leaves the frame. As new objects come into the frame, the technician must associate colors to each new object in the same way as described above. This technique was patented in 1991.

text: To perform digital colorization, a digitized copy of the best

text: monochrome

text: film print available is needed. Technicians, with the aid of computer software, associate a range of gray levels to each object, and indicate to the computer any movement of the objects within a shot. The software also is capable of sensing variations in the light level from frame to frame and correcting it if necessary. The technician selects a color for each object based on (1) common "memory" colors such as blue sky, white clouds, flesh tones and green grass, and (2) based on any known information about the movie. For example, if there are color publicity photos or props from the movie available to examine, authentic colors may be applied. (3) In the absence of any better information, the technician chooses a color that fits the gray level and that the technician feels is consistent with what a director might have chosen for the scene. The computer software then associates a variation of the basic color with each gray level in the object, while keeping intensity levels the same as in the monochrome original. The software then follows each object from frame to frame, applying the same color until the object leaves the frame. As new objects come into the frame, the technician must associate colors to each new object in the same way as described above. This technique was patented in 1991.

text: Wax with colorful pigments added has been used as a medium in encaustic painting, and is used today in the manufacture of crayons, china markers and colored pencils.  Carbon paper, used for making duplicate typewritten documents was coated with carbon black suspended in wax, typically montan wax, but has largely been superseded by photocopiers and computer printers.  In another context, lipstick and mascara are blends of various fats and waxes colored with pigments, and both beeswax and lanolin are used in other cosmetics.  Ski wax is used in skiing and snowboarding.  Also, the sports of surfing and skateboarding often use wax to enhance the performance.

text: Wax with colorful pigments added has been used as a medium in

text: encaustic painting

text: , and is used today in the manufacture of

text: crayon

text: s,

text: china markers

text: and colored

text: pencil

text: s.

text: Carbon paper

text: , used for making duplicate

text: typewritten

text: documents was coated with

text: carbon black

text: suspended in wax, typically

text: montan wax

text: , but has largely been superseded by

text: photocopier

text: s and

text: computer printer

text: s.  In another context,

text: lipstick

text: and

text: mascara

text: are blends of various fats and waxes colored with pigments, and both

text: beeswax

text: and

text: lanolin

text: are used in other

text: cosmetics

text: Ski wax

text: is used in

text: skiing

text: and

text: snowboarding

text: .  Also, the sports of surfing and

text: skateboarding

text: often use wax to enhance the performance.

text: Before the Industrial Revolution, many pigments were known by the location where they were produced. Pigments based on minerals and clays often bore the name of the city or region where they were mined. Raw Sienna and Burnt Sienna came from Siena, Italy, while Raw Umber and Burnt Umber came from Umbria. These pigments were among the easiest to synthesize, and chemists created modern colors based on the originals that were more consistent than colors mined from the original ore bodies. But the place names remained.

text: Before the

text: Industrial Revolution

text: , many pigments were known by the location where they were produced. Pigments based on minerals and clays often bore the name of the city or region where they were mined.

text: Raw Sienna

text: and

text: Burnt Sienna

text: came from

text: Siena

text: Italy

text: , while

text: Raw Umber

text: and

text: Burnt Umber

text: came from

text: Umbria

text: . These pigments were among the easiest to synthesize, and chemists created modern colors based on the originals that were more consistent than colors mined from the original ore bodies. But the place names remained.

text: Smoothness is a measure of how similar colors that are close together are.  There is an assumption that objects are more likely to be colored with a small number of colors.  So if we detect two pixels with the same color they most likely belong to the same object.

text: Historically and culturally, many famous natural pigments have been replaced with synthetic pigments, while retaining historic names. In some cases, the original color name has shifted in meaning, as a historic name has been applied to a popular modern color. By convention, a contemporary mixture of pigments that replaces a historical pigment is indicated by calling the resulting color a hue, but manufacturers are not always careful in maintaining this distinction. The following examples illustrate the shifting nature of historic pigment names:

text: Despite varying bit depths among the CGA graphics modes (see below), CGA processes colors in its palette in four bits, yielding 2 = 16 different colors. The four color bits are arranged according to the RGBI color model: the lower three bits represent red, green, and blue color components; a fourth "intensifier" bit, when set, increases the brightness of all three color components (red, green, and blue).  In graphics modes, colors are set per-pixel; in text modes, colors are set per-character, with an independent foreground and background color for each character.

text: Despite varying

text: bit depths

text: among the CGA graphics modes (see below), CGA processes colors in its

text: palette

text: in four bits, yielding 2 = 16 different colors. The four color bits are arranged according to the

text: RGBI

text: color model: the lower three bits represent red, green, and blue color components; a fourth "intensifier" bit, when set, increases the brightness of all three color components (red, green, and blue).  In graphics modes, colors are set per-pixel; in text modes, colors are set per-character, with an independent foreground and background color for each character.

text: As a matter of convenience, painters typically also add one or more paints made with an iron oxide pigment (the so-called "earth" pigments) and sold under the marketing names yellow ochre, raw sienna, raw umber, burnt sienna, burnt umber and/or venetian red. Exactly the same brown or ochre colors can be matched with either of the six paint palettes, but it is tedious to do. As dark colors also require inconvenient mixing, most painters prefer to add a premixed dark neutral paint containing a carbon (black) pigment and a tinting pigment to produce a slight color bias, usually sold under the marketing names indigo, payne's gray, neutral tint or sepia.

text: Chevreul also realized that the "halo" that one sees after looking at a color is the opposing color (also known as complementary color). For example: After looking at a red object, one may see a cyan echo/halo of the original object. This complementary color (as an example, cyan for red) is due to retinal persistence. Neoimpressionist painters interested in the interplay of colors made extensive use of complementary colors in their paintings. In his works, Chevreul advised artists to think and paint not just the color of the central object, but to add colors and make appropriate adjustments to achieve a harmony among colors. It seems that the harmony Chevreul wrote about is what Seurat came to call "emotion".

text: Chevreul also realized that the "halo" that one sees after looking at a color is the opposing color (also known as

text: complementary color

text: ). For example: After looking at a red object, one may see a cyan echo/halo of the original object. This complementary color (as an example, cyan for red) is due to

text: retina

text: l persistence. Neoimpressionist painters interested in the interplay of colors made extensive use of complementary colors in their paintings. In his works, Chevreul advised artists to think and paint not just the color of the central object, but to add colors and make appropriate adjustments to achieve a harmony among colors. It seems that the harmony Chevreul wrote about is what Seurat came to call "emotion".

text: Every pixel is made up of three separate subpixel cells, each with different colored phosphors. One subpixel has a red light phosphor, one subpixel has a green light phosphor and one subpixel has a blue light phosphor. These colors blend together to create the overall color of the pixel, the same as a triad of a shadow mask CRT or color LCD. Plasma panels use pulse-width modulation (PWM) to control brightness: by varying the pulses of current flowing through the different cells thousands of times per second, the control system can increase or decrease the intensity of each subpixel color to create billions of different combinations of red, green and blue. In this way, the control system can produce most of the visible colors. Plasma displays use the same phosphors as CRTs, which accounts for the extremely accurate color reproduction when viewing television or computer video images (which use an RGB color system designed for CRT displays).

text: Every

text: pixel

text: is made up of three separate subpixel cells, each with different colored phosphors. One subpixel has a red light phosphor, one subpixel has a green light phosphor and one subpixel has a blue light phosphor. These colors blend together to create the overall color of the pixel, the same as a

text: triad

text: of a

text: shadow mask

text: CRT or color LCD. Plasma panels use pulse-width modulation (PWM) to control brightness: by varying the pulses of current flowing through the different cells thousands of times per second, the control system can increase or decrease the intensity of each subpixel color to create billions of different combinations of red, green and blue. In this way, the control system can produce most of the visible colors. Plasma displays use the same phosphors as CRTs, which accounts for the extremely accurate color reproduction when viewing television or computer video images (which use an RGB color system designed for CRT displays).

text: In computer and television screen color displays, the corners of the gamut triangle are defined by commercially available phosphors chosen to be as near as possible to pure red and pure green and pure blue, and thus are within the area of real colors; note that these color space diagrams inevitably display, instead of real colors outside your computer screen's gamut triangle, the nearest color which is inside the gamut triangle. See page Gamut for more information about the color range available on display devices.

text: In computer and television screen color displays, the corners of the gamut triangle are defined by commercially available

text: phosphor

text: s chosen to be as near as possible to pure red and pure green and pure blue, and thus are within the area of real colors; note that these color space diagrams inevitably display, instead of real colors outside your computer screen's gamut triangle, the nearest color which is inside the gamut triangle. See page

text: Gamut

text: for more information about the color range available on display devices.

text: Surprisingly, given their ability to change color, all octopodes and most cephalopods are considered to be color blind.  Coleoid cephalopods (octopus, squid, cuttlefish) have a single photoreceptor type and lack the ability to determine color by comparing detected photon intensity across multiple spectral channels.  When camouflaging themselves, they use their chromatophores to change brightness and pattern according to the background they see, but their ability to match the specific color of a background may come from cells such as iridophores and leucophores that reflect light from the environment.  They also produce visual pigments throughout their body, and may sense light levels directly from their body. Evidence of color vision has been found in the sparkling enope squid (Watasenia scintillans), which achieves color vision by the use of three distinct retinal molecules (A1, sensitive to red; A2, to purple, and A4, to yellow?) which bind to its opsin.

text: Surprisingly, given their ability to change color, all octopodes and most cephalopods are considered to be

text: color blind

text: .  Coleoid cephalopods (octopus, squid, cuttlefish) have a single photoreceptor type and lack the ability to determine color by comparing detected photon intensity across multiple spectral channels.  When

text: camouflaging

text: themselves, they use their chromatophores to change brightness and pattern according to the background they see, but their ability to match the specific color of a background may come from cells such as

text: iridophore

text: s and

text: leucophore

text: s that reflect light from the environment.  They also produce visual pigments throughout their body, and may sense light levels directly from their body. Evidence of

text: color vision

text: has been found in the

text: sparkling enope squid

text: (Watasenia scintillans), which achieves color vision by the use of three distinct

text: retinal

text: molecules (A1, sensitive to red; A2, to purple, and A4, to yellow?) which bind to its

text: opsin

text: Sutton was the photographer for James Clerk Maxwell's pioneering 1861 demonstration of color photography. In a practical trial of a thought-experiment Maxwell had published in 1855, Sutton took three separate black-and-white photographs of a multicolored ribbon, one through a blue filter, one through a green filter, and one through a red filter. Using three projectors equipped with similar filters, the three photographs were projected superimposed on a screen. The additive primaries variously blended to reproduce a gamut of color. The photographic materials available to Sutton were mainly sensitive to blue light, barely sensitive to green and practically insensitive to red, so the result was only a partial success. Forty years later, adequately panchromatic plates and films had made excellent color reproduction possible by this method, as demonstrated by the work of Sergey Prokudin-Gorsky. The principle of reproducing a full range of color by three-color analysis and synthesis is based on the nature of human color vision and underlies nearly all practical chemical and electronic color imaging technologies. Sutton's ribbon image is sometimes called the first color photograph. There were, in fact, earlier and possibly better color photographs made by experimenters who used a completely different, more purely chemical process, but the colors rapidly faded when exposed to light for viewing. Sutton's photographs preserved the color information in black-and-white silver images containing no actual coloring matter, so they are very light-fast and durable and the set may reasonably be described as the first permanent color photograph.

text: Sutton was the photographer for

text: James Clerk Maxwell

text: 's pioneering 1861 demonstration of

text: color photography

text: . In a practical trial of a

text: thought-experiment

text: Maxwell had published in 1855, Sutton took three separate black-and-white photographs of a multicolored ribbon, one through a blue

text: filter

text: , one through a green filter, and one through a red filter. Using three projectors equipped with similar filters, the three photographs were projected superimposed on a screen. The

text: additive primaries

text: variously blended to reproduce a

text: gamut

text: of color. The photographic materials available to Sutton were mainly sensitive to blue light, barely sensitive to green and practically insensitive to red, so the result was only a partial success. Forty years later, adequately

text: panchromatic

text: plates and films had made excellent color reproduction possible by this method, as demonstrated by the work of

text: Sergey Prokudin-Gorsky

text: . The principle of reproducing a full range of color by three-color analysis and synthesis is based on the nature of human

text: color vision

text: and underlies nearly all practical chemical and electronic color imaging technologies. Sutton's ribbon image is sometimes called the first color photograph. There were, in fact, earlier and possibly better color photographs made by experimenters who used a completely different, more purely chemical process, but the colors rapidly faded when exposed to light for viewing. Sutton's photographs preserved the color information in black-and-white silver images containing no actual coloring matter, so they are very light-fast and durable and the set may reasonably be described as the first permanent color photograph.

text: The SeaChanger Color Engine is an electro-mechanical device that is used to control light color in entertainment-industry lighting applications. The unit employs four overlapped color filter wheels, inserted into a light beam near its source, to produce colored light. This is in contrast to color scrollers, which insert color filter ribbons into a light beam. The color engine, which was released by Ocean Thin Films in 2005, is designed to fit into the Source Four lighting instrument made by Electronic Theatre Controls.

text: The SeaChanger Color Engine is an electro-mechanical device that is used to control light color in entertainment-industry

text: lighting

text: applications. The unit employs four overlapped color filter wheels, inserted into a light beam near its source, to produce colored light. This is in contrast to

text: color scroller

text: s, which insert color filter ribbons into a light beam. The color engine, which was released by Ocean Thin Films in 2005, is designed to fit into the

text: Source Four

text: lighting instrument made by

text: Electronic Theatre Controls

text: When defining primaries, the goal is often to leave as many real colors in gamut as possible. Since the region of real colors is not a triangle (see illustration), it is not possible to pick three real colors that span the whole region. The gamut can be increased by selecting more than three real primary colors, but since the region of real colors is not a polygon, there always will be some colors at the edge left out. Therefore, one selects colors outside of the region of real colors as primary colors; in other words, imaginary primary colors. Mathematically, the gamut created in this way contains so-called "imaginary colors".

text: The test consists of showing a pair of vertically oriented lights consisting of combinations of either red, green or yellow-white.  The test subject is asked to identify the two colors (some of which are identical).  Nine color pairs are administered during the test, beginning with a red/green combination, to allow the patient to see these two colors prior to seeing a white light, which decreases testing errors.  The examinee is shown the target for only two seconds, as color-deficient patients can sometimes correctly identify the colors with prolonged exposure.  The yellow-white light, or one of the identical paired lights, employs a 50% neutral gray filter to reduce luminance cues to the color-deficient patient.  Random presentation reduces memorization of the test sequence by motivated persons.

text: Complementary colors can create some striking optical effects. The shadow of an object appears to  contain some of the complementary color of the object. For example, the shadow of a red apple will appear to contain a little blue-green. This effect is often copied by painters who want to create more luminous and realistic shadows. Also, if you stare at a square of color for a long period of time (thirty seconds to a minute), and then look at a white paper or wall, you will briefly see an afterimage of the square in its complementary color.

text: Complementary colors can create some striking optical effects. The shadow of an object appears to  contain some of the complementary color of the object. For example, the shadow of a red apple will appear to contain a little blue-green. This effect is often copied by painters who want to create more luminous and realistic shadows. Also, if you stare at a square of color for a long period of time (thirty seconds to a minute), and then look at a white paper or wall, you will briefly see an

text: afterimage

text: of the square in its complementary color.

text: Fanti, although being pro-authenticity, has never claimed that there weren't any traces of pictural pigments; he only stated in his papers that the manner in which the image was made is not known to him and that the image has not been made by weaving "colored thread". Fanti and his collaborators claimed that certain parts did contain pigments but, when zooming to a certain extent between the fibers, pigments were not found between them but only on the fabric's surface, due to the intrinsic characteristics of the extremely fine byssus fabric. Rinaldi insists upon the fact that Fanti and his associates never said in any paper whatsoever that the Manoppello Image corresponded "exactly" to the Turin Shroud, and that such an extrapolated statement has only been made public by sister Blandine Schlömer, a Trappist nun from Manopello in charge of communicating with the media. Rinaldi shows that Fanti changed his theory many times, claiming pigments were absent, then only visible in particular zones such as the eyes and finally that, yes, it contains pigments but only the manner they were deposited on the byssus is unknown to him. These  never-ending adjustments of the pro-authenticity arguments may have led some to extrapolate to such a degree, according to Rinaldi.

text: Unlike spectral colors (which may be implemented, for example, by nearly monochromatic light of laser, with precision much finer than human chromaticity resolution), colors on the line of purples are more difficult to implement practically. The sensitivity of cones to both of the spectral colors at the opposite extremes of what the human eye can see is quite low (see luminosity function), so commonly observed purple colors do not achieve a high level of brightness.

text: Unlike spectral colors (which may be implemented, for example, by nearly monochromatic

text: light

text: of

text: laser

text: , with precision much finer than

text: human chromaticity resolution

text: ), colors on the line of purples are more difficult to implement practically. The sensitivity of cones to both of the spectral colors at the opposite extremes of what the human eye can see is quite low (see

text: luminosity function

text: ), so commonly observed purple colors do not achieve a high level of brightness.

text: Color constancy is a feature of the human internal model of perception, which provides humans with the ability to assign a relatively constant color to objects even under different illumination conditions. This is helpful for object recognition as well as identification of light sources in an environment. For example, humans see an object approximately as the same color when the sun is bright or when the sun is dim.

text: Color constancy

text: is a feature of the human internal model of perception, which provides humans with the ability to assign a relatively constant color to objects even under different illumination conditions. This is helpful for object recognition as well as identification of light sources in an environment. For example, humans see an object approximately as the same color when the sun is bright or when the sun is dim.

text: Brown is a composite color. In the CMYK color model used in printing or painting, brown is made by combining red, black, and yellow, pink and black,  or red, yellow, and blue. In the RGB color model used to project colors onto television screens and computer monitors, brown is made by combining red and green, in specific proportions. The brown color is seen widely in nature, in wood, soil, human hair color, eye color and skin pigmentation. Brown is the color of dark wood or rich soil. According to public opinion surveys in Europe and the United States, brown is the least favorite color of the public; the color most often associated with plainness, the rustic, and poverty.

text: Brown is a composite

text: color

text: . In the

text: CMYK color model

text: used in printing or painting, brown is made by combining

text: red

text: black

text: , and

text: yellow

text: , pink and black,  or red, yellow, and blue. In the

text: RGB color model

text: used to project colors onto television screens and computer monitors, brown is made by combining red and green, in specific proportions. The brown color is seen widely in nature, in wood, soil, human

text: hair

text: color,

text: eye color

text: and

text: skin pigmentation

text: . Brown is the

text: color

text: of dark wood or rich soil. According to public opinion surveys in Europe and the United States, brown is the least favorite color of the public; the color most often associated with plainness, the rustic, and

text: poverty

text: The color defined as blue in the RGB color model, X11 blue, is shown at right. This color is the brightest possible blue that can be reproduced on a computer screen, and is the color named blue in X11. It is one of the three primary colors used on the RGB color space, along with red and green. The three additive primaries in the RGB color system are the three colors of light chosen such as to provide the maximum gamut of colors that are capable of being represented on a computer or television set.

text: The color defined as blue in the

text: RGB color model

text: X11 blue

text: , is shown at right. This color is the brightest possible blue that can be reproduced on a computer screen, and is the color named blue in

text: . It is one of the three

text: primary color

text: s used on the

text: RGB color space

text: , along with

text: red

text: and

text: green

text: . The three additive primaries in the RGB color system are the three colors of

text: light

text: chosen such as to provide the maximum

text: gamut

text: of colors that are capable of being represented on a

text: computer

text: or

text: television set

text: Common pigment types include mineral salts such as white oxides: zinc, titanium, and the red to yellow cadmium pigments. Another class consists of earth types, e.g. sienna or umber. Still another group of pigments comes from living organisms, such as madder root.

text: Common pigment types include mineral salts such as white oxides:

text: zinc

text: titanium

text: , and the red to yellow

text: cadmium pigments

text: . Another class consists of

text: earth types

text: , e.g.

text: sienna

text: or

text: umber

text: . Still another group of pigments comes from living organisms, such as

text: madder root

text: The horse's limited ability to see color is sometimes taken into consideration when designing obstacles for the horse to jump, since the animal will have a harder time distinguishing between the obstacle and the ground if the two are only a few shades different. Therefore, most people paint their jump rails a different color from the footing or the surrounding landscape so that the horse may better judge the obstacle on the approach. Studies have shown that horses are less likely to knock a rail down when the jump is painted with two or more contrasting colors, rather than one single color. It is especially difficult for horses to distinguish between yellows and greens.

text: The color of a person's hair is created by the pigment melanin, found in the core of each hair. Melanin is also responsible for the color of the skin and of the eyes. There are only two types of pigment; dark (eumelanin) or light (phaeomelanin). Combined in various combinations, these pigments create all natural hair colors.

text: The color of a person's hair is created by the pigment

text: melanin

text: , found in the core of each hair. Melanin is also responsible for the color of the skin and of the eyes. There are only two types of pigment; dark (

text: eumelanin

text: ) or light (

text: phaeomelanin

text: ). Combined in various combinations, these pigments create all natural hair colors.

text: A color solid is the three-dimensional representation of a color model, an analog of the two-dimensional color wheel.  The added spatial dimension allows a color solid to depict an added dimension of color variation.  Whereas a two-dimensional color wheel typically depicts the variables of hue (red, green, blue, etc.) and brightness (gradations of light and dark), a color solid adds the variable of saturation, allowing the sphere to depict all conceivable colors in an organized three-dimensional structure.

text: A color solid is the three-dimensional representation of a

text: color model

text: , an analog of the two-dimensional

text: color wheel

text: .  The added spatial

text: dimension

text: allows a color solid to depict an added dimension of

text: color

text: variation.  Whereas a two-dimensional color wheel typically depicts the variables of

text: hue

text: (red, green, blue, etc.) and

text: brightness

text: (gradations of light and dark), a color solid adds the variable of

text: saturation

text: , allowing the sphere to depict all conceivable colors in an organized three-dimensional structure.

text: Hunt defines that "two colors are complementary when it is possible to reproduce the tristimulus values of a specified achromatic stimulus by an additive mixture of these two stimuli." That is, when two colored lights can be mixed to match a specified white (achromatic, non-colored) light, the colors of those two lights are complementary. This definition, however, does not constrain what version of white will be specified. In the nineteenth century, the scientists Grassmann and Helmholtz did experiments in which they concluded that finding a good complement for spectral yellow was difficult, but that the result was indigo, that is, a wavelength that today's color scientists would call violet. Helmholtz says "Yellow and indigo blue" are complements. Grassmann reconstructs Newton's category boundaries in terms of wavelengths and says "This indigo therefore falls within the limits of color between which, according to Helmholtz, the complementary colors of yellow lie."

text: Hunt defines that "two colors are complementary when it is possible to reproduce the tristimulus values of a specified achromatic stimulus by an additive mixture of these two stimuli." That is, when two colored lights can be mixed to match a specified white (achromatic, non-colored) light, the colors of those two lights are

text: complementary

text: . This definition, however, does not constrain what version of white will be specified. In the nineteenth century, the scientists

text: Grassmann

text: and

text: Helmholtz

text: did experiments in which they concluded that finding a good complement for spectral yellow was difficult, but that the result was indigo, that is, a wavelength that today's color scientists would call violet. Helmholtz says "Yellow and indigo blue" are complements. Grassmann reconstructs Newton's category boundaries in terms of wavelengths and says "This indigo therefore falls within the limits of color between which, according to Helmholtz, the complementary colors of yellow lie."

text: The gamut of reflective colors in nature has a similar, though more rounded, shape. An object that reflects only a narrow band of wavelengths will have a color close to the edge of the CIE diagram, but it will have a very low luminosity at the same time. At higher luminosities, the accessible area in the CIE diagram becomes smaller and smaller, up to a single point of white, where all wavelengths are reflected exactly 100 per cent; the exact coordinates of white are determined by the color of the light source.

text: |- style="background-color:#F6F6F6" ! style="background-color:#ffffff" | | colspan="5" | Derwentside Independents win|-|- style="background-color:#F6F6F6" ! style="background-color:#ffffff" | | colspan="5" | Derwentside Independents win|-|- style="background-color:#F6F6F6" ! style="background-color:#ffffff" | | colspan="5" | Derwentside Independents win|-

text: |- style="background-color:#F6F6F6" ! style="background-color:#ffffff" | | colspan="5" |

text: Derwentside Independents

text: win|-|- style="background-color:#F6F6F6" ! style="background-color:#ffffff" | | colspan="5" |

text: Derwentside Independents

text: Derwentside Independents

text: win|-

text: Dominant wavelength (or sometimes equivalent wavelength) is a physical analog to the perceptual attribute hue. On a chromaticity diagram, a line is drawn from a white point through the coordinates of the color in question, until it intersects the spectral locus. The wavelength at which the line intersects the spectrum locus is identified as the color's dominant wavelength if the point is on the same side of the white point as the spectral locus, and as the color's complementary wavelength if the point is on the opposite side.

text: Dominant wavelength

text: (or sometimes equivalent wavelength) is a physical analog to the perceptual attribute hue. On a

text: chromaticity diagram

text: , a line is drawn from a

text: white point

text: through the coordinates of the color in question, until it intersects the

text: spectral locus

text: . The wavelength at which the line intersects the spectrum locus is identified as the color's

text: dominant wavelength

text: if the point is on the same side of the white point as the spectral locus, and as the color's

text: complementary wavelength

text: if the point is on the opposite side.

text: One of the unique aspects of Gjende is that the water has a distinct green color.  The green color is the result from glacier runoff containing clay (rock flour).  Looking down towards Memurubu one can see the river Muru coloring the water with a light colored runoff.

text: One of the unique aspects of Gjende is that the water has a distinct green color.  The green color is the result from glacier runoff containing clay (

text: rock flour

text: ).  Looking down towards Memurubu one can see the river Muru coloring the water with a light colored runoff.

text: Images from infrared cameras tend to be monochrome because the cameras generally use an image sensor that does not distinguish different wavelengths of infrared radiation. Color image sensors require a complex construction to differentiate wavelengths, and color has less meaning outside of the normal visible spectrum because the differing wavelengths do not map uniformly into the system of color vision used by humans.

text: Images from infrared cameras tend to be

text: monochrome

text: because the cameras generally use an

text: image sensor

text: that does not distinguish different

text: wavelength

text: s of infrared radiation. Color image sensors require a complex construction to differentiate wavelengths, and color has less meaning outside of the normal visible spectrum because the differing wavelengths do not map uniformly into the system of

text: color vision

text: used by humans.

text: (See Color vision, Additive color, Hue for more information.)

text: (See

text: Color vision

text: Additive color

text: Hue

text: for more information.)

text: Afterimages (spectra) appear after a mechanical shock to the eye. The eye's activity is convulsively divided. Transitory pathological spectra appear from glare or dazzle. The retina's activity is disorganized from over-stimulation. A dazzled eye sees red when looking at brightness and green when looking into darkness. The retina's activity is forcefully divided by the powerful stimulation. When the eye strains to see in dim light, the retina is voluntarily activated and intensively divided. Blue eyeglasses counter the effect of orange candlelight and produce the effect of daylight. An additional proof of the subjective nature of color, namely that it is a function of the eye itself and is only secondarily related to external objects, is given by the daguerreotype. It objectively shows that color is not essential to the appearance of an object. Also, people who are color blind would see color if it was in the object and not in the eye.

text: Afterimages (spectra) appear after a mechanical shock to the eye. The eye's activity is convulsively divided. Transitory pathological spectra appear from glare or dazzle. The retina's activity is disorganized from over-stimulation. A dazzled eye sees red when looking at brightness and green when looking into darkness. The retina's activity is forcefully divided by the powerful stimulation. When the eye strains to see in dim light, the retina is voluntarily activated and intensively divided. Blue eyeglasses counter the effect of orange candlelight and produce the effect of daylight. An additional proof of the subjective nature of color, namely that it is a function of the eye itself and is only secondarily related to external objects, is given by the

text: daguerreotype

text: . It objectively shows that color is not essential to the appearance of an object. Also, people who are

text: color blind

text: would see color if it was in the object and not in the eye.

text: The LLE was founded on the University of Rochester's campus in 1970, by Dr. Moshe Lubin. Working with outside companies such as Kodak the team built Delta, a four beam laser system in 1972.  Construction started on the current LLE site in 1976.  The facility opened in 1978 a six beam laser systems and a 24 beam system follows two years later.  In 1985, Donna Strickland and Gérard Mourou invent a method to amplify lasers pulses by "chirping".  This method change a single wavelength of laser light into a spectrum of wavelengths.  The system amplifies the laser at each wavelength and then reconstitutes the beam into one color.  Chirp pulsed amplification became instrumental in building the National Ignition Facility and the Omega EP system.  In 1995, the omega laser was increased to 60 beams system and in 2008 the Omega extended performance system was opened.

text: The LLE was founded on the

text: University of Rochester

text: 's campus in 1970, by Dr. Moshe Lubin. Working with outside companies such as

text: Kodak

text: the team built Delta, a four beam laser system in 1972.  Construction started on the current LLE site in 1976.  The facility opened in 1978 a six beam laser systems and a 24 beam system follows two years later.  In 1985,

text: Donna Strickland

text: and

text: Gérard Mourou

text: invent a method to amplify lasers pulses by

text: "chirping"

text: .  This method change a single wavelength of laser light into a spectrum of wavelengths.  The system amplifies the laser at each wavelength and then reconstitutes the beam into one color.  Chirp pulsed amplification became instrumental in building the

text: National Ignition Facility

text: and the Omega EP system.  In 1995, the omega laser was increased to 60 beams system and in 2008 the Omega extended performance system was opened.

text: As an astronomical object sets or rises, the light it emits travels through the atmosphere, which works as a prism separating the light into different colors. The color of the upper limb of an astronomical object could go from blue to green to violet depending on the decrease in concentration of pollutants as they spread throughout an increasing volume of atmosphere. The lower limb of an astronomical object is always red.<br>The green rim is very thin, and is difficult or impossible to see with the naked eye. In usual conditions a green rim of an astronomical object gets fainter, when an astronomical object is very low above the horizon because of atmospheric reddening, but sometimes the conditions are right to see a green rim just above the horizon. The following quote describes probably the longest green rim, which sometimes could have been green flash, observation. It was seen on and off for 35 long minutes by members of the Richard Evelyn Byrd party from the Little America exploration base.

text: As an

text: astronomical object

text: sets or rises, the light it emits travels through the

text: atmosphere

text: , which works as a

text: prism

text: separating the light into different colors. The color of the upper limb of an astronomical object could go from blue to green to violet depending on the decrease in concentration of

text: pollutants

text: as they spread throughout an increasing volume of atmosphere. The lower limb of an astronomical object is always red.<br>The green rim is very thin, and is difficult or impossible to see with the naked eye. In usual conditions a green rim of an astronomical object gets fainter, when an astronomical object is very low above the

text: horizon

text: because of atmospheric reddening, but sometimes the conditions are right to see a green rim just above the horizon. The following quote describes probably the longest green rim, which sometimes could have been green flash, observation. It was seen on and off for 35 long minutes by members of the

text: Richard Evelyn Byrd

text: party from the

text: Little America exploration base

text: To understand false color, a look at the concept behind true color is helpful. An image is called a "true-color" image when it offers a natural color rendition, or when it comes close to it. This means that the colors of an object in an image appear to a human observer the same way as if this observer were to directly view the object: A green tree appears green in the image, a red apple red, a blue sky blue, and so on. When applied to black-and-white images, true-color means that the perceived lightness of a subject is preserved in its depiction.

text: To understand false color, a look at the concept behind true color is helpful. An image is called a "true-color" image when it offers a natural

text: color

text: rendition, or when it comes close to it. This means that the colors of an object in an image

text: appear to a human observer

text: the same way as if this observer were to directly view the object: A green tree appears green in the image, a red apple red, a blue sky blue, and so on. When applied to black-and-white images, true-color means that the perceived lightness of a subject is preserved in its depiction.

text: His company, Olyoptics, was one of the first to use computers to do color separation. Although other companies at the time were experimenting with computers, Oliff and his crew were the first to blend the color guide artist with the separator

text: His company,

text: Olyoptics

text: , was one of the first to use computers to do color separation. Although other companies at the time were experimenting with computers, Oliff and his crew were the first to blend the color guide artist with the separator

text: On the CIE color coordinate space, a straight line drawn between the point for a given color and the point for the color of the illuminant can be extrapolated out so that it intersects the perimeter of the space in two points.  The point of intersection nearer to the color in question reveals the dominant wavelength of the color as the wavelength of the pure spectral color at that intersection point. The point of intersection on the opposite side of the color space gives the complementary wavelength, which when added to the color in question in the right proportion will yield the color of the illuminant (since the illuminant point necessarily sits between these points on a straight line in CIE space, according to the definition just given).

text: On the

text: CIE

text: color coordinate space

text: , a straight line drawn between the point for a given color and the point for the color of the illuminant can be extrapolated out so that it intersects the perimeter of the space in two points.  The point of intersection nearer to the color in question reveals the dominant wavelength of the color as the wavelength of the pure spectral color at that intersection point. The point of intersection on the opposite side of the color space gives the complementary wavelength, which when added to the color in question in the right proportion will yield the color of the illuminant (since the illuminant point necessarily sits between these points on a straight line in CIE space, according to the definition just given).

text: Most of the colors listed do not reach the maximal (spectral) colorfulness, or are not usually seen with it, but they can be saturated enough to be perceived closely to their dominant wavelength spectral colors. Ranges of wavelengths and frequencies are only approximate.

text: Most of the colors listed do not reach the maximal (spectral)

text: colorfulness

text: , or are not usually seen with it, but they can be saturated enough to be perceived closely to their

text: dominant wavelength

text: spectral colors. Ranges of wavelengths and frequencies are only approximate.

text: The Fauves (many of whom would become Cubists), were heavily influenced by Neo-Impressionism, calling upon rational and scientific thought and creating highly abstract visions with the goal of producing the effects of real color-light. Mechanical brushwork suppressed the personality of the artist in an act of conspicuous defiance against the Impressionists. The Symbolists too would strip away the casual and accidental features of reality, revealing the true 'essence of form.' Whether such a revelation could be backed up by a scientific theory or not, there were still examples that could be codified. The problem was that pigments reflect light, they are not a light source themselves. Colors in the spectra of light did not respond in the same way as color pigments painted on canvas. For example, red and blue light rays result in white light, but the same colors in pigments make violet.

text: The

text: Fauves

text: (many of whom would become

text: Cubists

text: ), were heavily influenced by

text: Neo-Impressionism

text: , calling upon rational and scientific thought and creating highly abstract visions with the goal of producing the effects of real color-light. Mechanical brushwork suppressed the personality of the artist in an act of conspicuous defiance against the

text: Impressionists

text: . The

text: Symbolists

text: too would strip away the casual and accidental features of reality, revealing the true 'essence of form.' Whether such a revelation could be backed up by a scientific theory or not, there were still examples that could be codified. The problem was that pigments reflect light, they are not a light source themselves. Colors in the spectra of light did not respond in the same way as color pigments painted on canvas. For example, red and blue light rays result in white light, but the same colors in pigments make violet.

text: A polychlorinated biphenyl (PCB) was reported ( published in 2009 ) in air samples collected in Chicago, Philadelphia, the Arctic, and several sites around the Great Lakes. PCB is a global pollutant and was measured in the wastewater effluent from paint production. The widespread distribution of PCB suggests volatilization of this compound from surfaces, roofs etc. PCB is present in consumer goods including newspapers, magazines, and cardboard boxes, which usually contain color pigments. Therefore exist hypothesis that PCB congeners are present as byproduct in some current commercial pigments.

text: The appearance of pigments is intimately connected to the color of the source light. Sunlight has a high color temperature, and a fairly uniform spectrum, and is considered a standard for white light. Artificial light sources tend to have great peaks in some parts of their spectrum, and deep valleys in others. Viewed under these conditions, pigments will appear different colors.

text: The appearance of pigments is intimately connected to the color of the source light. Sunlight has a high

text: color temperature

text: , and a fairly uniform spectrum, and is considered a standard for white light. Artificial light sources tend to have great peaks in some parts of their spectrum, and deep valleys in others. Viewed under these conditions, pigments will appear different colors.

text: The sharp absorption bands of neodymium cause the glass color to change under different lighting conditions, being reddish-purple under daylight or yellow incandescent light, but blue under white fluorescent lighting, or greenish under trichromatic lighting. This color-change phenomenon is highly prized by collectors. In combination with gold or selenium, beautiful red colors result. Since neodymium coloration depends upon "forbidden" f-f transitions deep within the atom, there is relatively little influence on the color from the chemical environment, so the color is impervious to the thermal history of the glass. However, for the best color, iron-containing impurities need to be minimized in the silica used to make the glass. The same forbidden nature of the f-f transitions makes rare-earth colorants less intense than those provided by most d-transition elements, so more has to be used in a glass to achieve the desired color intensity. The original Moser recipe used about 5% of neodymium oxide in the glass melt, a sufficient quantity such that Moser referred to these as being "rare earth doped" glasses. Being a strong base, that level of neodymium would have affected the melting properties of the glass, and the lime content of the glass might have had to be adjusted accordingly.

text: The sharp absorption bands of neodymium cause the glass color to change under different lighting conditions, being reddish-purple under

text: daylight

text: or yellow

text: incandescent light

text: , but blue under white

text: fluorescent light

text: ing, or greenish under

text: trichromatic

text: lighting. This color-change phenomenon is highly prized by collectors. In combination with

text: gold

text: or

text: selenium

text: , beautiful red colors result. Since neodymium coloration depends upon "

text: forbidden

text: " f-f transitions deep within the atom, there is relatively little influence on the color from the chemical environment, so the color is impervious to the thermal history of the glass. However, for the best color,

text: iron

text: -containing impurities need to be minimized in the

text: silica

text: used to make the glass. The same forbidden nature of the f-f transitions makes

text: rare-earth

text: colorants less intense than those provided by most d-transition elements, so more has to be used in a glass to achieve the desired color intensity. The original Moser recipe used about 5% of neodymium oxide in the glass melt, a sufficient quantity such that Moser referred to these as being "rare earth doped" glasses. Being a strong base, that level of neodymium would have affected the melting properties of the glass, and the

text: lime

text: content of the glass might have had to be adjusted accordingly.

text: Plants absorb light primarily using the pigment chlorophyll. The green part of the light spectrum is not absorbed but is reflected which is the reason that most plants have a green color. Besides chlorophyll, plants also use pigments such as carotenes and xanthophylls. Algae also use chlorophyll, but various other pigments are present, such as phycocyanin, carotenes, and xanthophylls in green algae, phycoerythrin in red algae (rhodophytes) and fucoxanthin in brown algae and diatoms resulting in a wide variety of colors.

text: Plants absorb light primarily using the

text: pigment

text: chlorophyll

text: . The green part of the light spectrum is not absorbed but is reflected which is the reason that most plants have a green color. Besides chlorophyll, plants also use pigments such as

text: carotene

text: s and

text: xanthophyll

text: s. Algae also use chlorophyll, but various other pigments are present, such as

text: phycocyanin

text: carotene

text: s, and

text: xanthophyll

text: s in

text: green algae

text: phycoerythrin

text: in

text: red algae

text: (rhodophytes) and

text: fucoxanthin

text: in

text: brown algae

text: and

text: diatoms

text: resulting in a wide variety of colors.

text: The source of this color is the ISCC-NBS Dictionary of Color Names (1955), a color dictionary used by stamp collectors to identify the colors of stamps—See color sample of the color Gold (Color Sample Gold (T) #84) displayed on indicated web page:

text: MSOT provides anatomical, dynamic and molecular information, but quantifying the features of MSOT images is not straightforward because constituents of the target tissue absorb and scatter the illuminating light. As a result, the illuminating light is attenuated as one moves deeper into the tissue, and the extent of attenuation depends on wavelength. The measured spectral signature of photoabsorbers inside tissue may therefore differ from the absorption spectrum of the same molecule measured inside the cuvette of a spectrophotometer. This discrepancy, termed “spectral coloring”, depends on the number and types of photoabsorbers in the propagation path. Spectral coloring poses a challenge to spectral unmixing, which requires accurate knowledge of the absorption spectrum. Moreover, optoacoustic imaging, with a resolution in the range of 1-100 µm, cannot resolve individual photoabsorbing molecules. As a result, the spectral response of the photoabsorber of interest is a linear combination of the spectral responses of background tissue constituents, such as oxy- and deoxy-hemoglobin, melanin, water, lipids and unknown metabolites, which further complicates unmixing. Recently, eigenspectra MSOT has been developed to model more accurately the spectral responses of different photoabsorbers in three-dimensional tissue. This may help improve spectral unmixing and therefore image quality.

text: MSOT provides anatomical, dynamic and molecular information, but quantifying the features of MSOT images is not straightforward because constituents of the target tissue absorb and scatter the illuminating light. As a result, the illuminating light is attenuated as one moves deeper into the tissue, and the extent of attenuation depends on wavelength. The measured spectral signature of photoabsorbers inside tissue may therefore differ from the absorption spectrum of the same molecule measured inside the cuvette of a spectrophotometer. This discrepancy, termed “spectral coloring”, depends on the number and types of photoabsorbers in the propagation path. Spectral coloring poses a challenge to spectral unmixing, which requires accurate knowledge of the absorption spectrum. Moreover, optoacoustic imaging, with a resolution in the range of 1-100 µm, cannot resolve individual photoabsorbing molecules. As a result, the spectral response of the photoabsorber of interest is a linear combination of the spectral responses of background tissue constituents, such as oxy- and deoxy-hemoglobin,

text: melanin

text: , water, lipids and unknown

text: metabolites

text: , which further complicates unmixing. Recently, eigenspectra MSOT has been developed to model more accurately the spectral responses of different photoabsorbers in three-dimensional tissue. This may help improve spectral unmixing and therefore image quality.

text: Many of the light sources that emit white light emit light at almost all visible wavelengths (sun light, incandescent lamps of various Color temperatures). This has led to the notion that white light can be defined as a mixture of "all colors" or "all visible wavelengths". This misconception is widespread and might originally stem from the fact that Newton discovered that sunlight is composed of light with wavelengths across the visible spectrum. Concluding that since "all colors" produce white light then white must be made up of "all colors" is a common logical error called affirming the consequent, which might be the cause of the misunderstanding.

text: Many of the light sources that emit white light emit light at almost all visible wavelengths (sun light, incandescent lamps of various

text: Color temperature

text: s). This has led to the notion that white light can be defined as a mixture of "all colors" or "all visible wavelengths". This misconception is widespread and might originally stem from the fact that

text: Newton

text: discovered that sunlight is composed of light with wavelengths across the visible spectrum. Concluding that since "all colors" produce white light then white must be made up of "all colors" is a common logical error called

text: affirming the consequent

text: , which might be the cause of the misunderstanding.

text: and  describe polynomial time algorithms for coloring any graph with  colors, meeting the bound given by Vizing's theorem; see Misra & Gries edge coloring algorithm.

text: and  describe polynomial time algorithms for coloring any graph with  colors, meeting the bound given by Vizing's theorem; see

text: Misra & Gries edge coloring algorithm

text: Patients with cerebral achromatopsia deny having any experience of color when asked and fail standard clinical assessments like the Farnsworth-Munsell 100-hue test (a test of color ordering with no naming requirements). Patients may often not notice their loss of color vision and merely describe the world they see as being "drab". Most describe seeing the world in "shades of gray". This observation notes a key difference between cerebral and congenital achromatopsia, as those born with achromatopsia have never had an experience of color or gray.

text: Patients with cerebral achromatopsia deny having any experience of color when asked and fail standard clinical assessments like the Farnsworth-Munsell 100-hue test (a test of color ordering with no naming requirements). Patients may often

text: not notice their loss of color vision

text: and merely describe the world they see as being "drab". Most describe seeing the world in "shades of gray". This observation notes a key difference between cerebral and congenital achromatopsia, as those born with achromatopsia have never had an experience of color or gray.

text: The temperature of a star determines its spectral type via its effect on the physical properties of plasma in its photosphere. A star's energy emission as a function of wavelength is influenced by both its temperature and composition. A key indicator of this energy distribution is given by the color index, B − V, which measures the star's magnitude in blue (B) and green-yellow (V) light by means of filters. This difference in magnitude provides a measure of a star's temperature.

text: The temperature of a star determines its

text: spectral type

text: via its effect on the physical properties of

text: plasma

text: in its

text: photosphere

text: . A star's energy emission as a function of wavelength is influenced by both its temperature and composition. A key indicator of this energy distribution is given by the

text: color index

text: , B − V, which measures the star's

text: magnitude

text: in blue (B) and green-yellow (V) light by means of filters. This difference in magnitude provides a measure of a star's temperature.

text: The source of the color "cafe noir" displayed at right is the ISCC-NBS Color List (see Page C, cafe noir, color sample #81).

text: |-!colspan=9 style="background:#660066; color:#FFFFFF;"|  Exhibition|-!colspan=9 style="background:#660066; color:#FFFFFF;"|  Regular season|-!colspan=9 style="background:#660066; color:#FFFFFF;"| |-!colspan=9 style="background:#660066; color:#FFFFFF;"|

text: |-!colspan=9 style="background:#660066; color:#FFFFFF;"|  Exhibition|-!colspan=9 style="background:#660066; color:#FFFFFF;"|  Regular season|-!colspan=9 style="background:#660066; color:#FFFFFF;"|

entity_name: 2014 Patriot League Men's Basketball Tournament

text: |-!colspan=9 style="background:#660066; color:#FFFFFF;"|

entity_name: 2014 CollegeInsider.com Postseason Tournament

text: In an additive set of colors, as in coincident projected lights or in electronic visual displays, the primary colors normally used are red, green and blue (but the precise visible light spectra for each color can vary significantly). In a subtractive set of colors, as in mixing of pigments or dyes for printing, the colors magenta, yellow and cyan are normally used. See RGB color model, and CMYK color model for more on these popular sets of primary colors.

text: In an additive set of colors, as in coincident projected lights or in

text: electronic visual display

text: s, the primary colors normally used are

text: red

text: green

text: and

text: blue

text: (but the precise visible light spectra for each color can vary significantly). In a subtractive set of colors, as in mixing of pigments or dyes for printing, the colors

text: magenta

text: yellow

text: and

text: cyan

text: are normally used. See

text: RGB color model

text: , and

text: CMYK color model

text: for more on these popular sets of primary colors.

text: Nodular melanoma (NM) is the most aggressive form of melanoma. It tends to grow more rapidly in thickness (penetrate the skin) than in diameter. Instead of arising from a pre-existing mole, it may appear in a spot where a lesion did not previously exist . Since NM tends to grow in depth more quickly than it does in width, and can occur in a place that did not have a previous lesion, the prognosis is often worse because it takes longer for a person to be aware of the changes. NM is most often darkly pigmented; however, some NM lesions can be light brown, multicolored or even colorless (non-pigmented). A light-colored or non-pigmented NM lesion may escape detection because the appearance is not alarming, however an ulcerated and/or bleeding lesion is common. Polypoid melanoma is a virulent variant of nodular melanoma.

text: Nodular melanoma (NM) is the most aggressive form of

text: melanoma

text: . It tends to grow more rapidly in thickness (penetrate the skin) than in diameter. Instead of arising from a pre-existing mole, it may appear in a spot where a lesion did not previously exist . Since NM tends to grow in depth more quickly than it does in width, and can occur in a place that did not have a previous lesion, the prognosis is often worse because it takes longer for a person to be aware of the changes. NM is most often darkly pigmented; however, some NM lesions can be light brown, multicolored or even colorless (non-pigmented). A light-colored or non-pigmented NM lesion may escape detection because the appearance is not alarming, however an ulcerated and/or bleeding lesion is common.

text: Polypoid melanoma

text: is a virulent variant of nodular melanoma.

text: Trichromatic color vision is the ability of humans and some other animals to see different colors, mediated by interactions among three types of color-sensing cone cells. The trichromatic color theory began in the 18th century, when Thomas Young proposed that color vision was a result of three different  photoreceptor cells. Hermann von Helmholtz later expanded on Young's ideas using color-matching experiments which showed that people with normal vision needed three wavelengths to create the normal range of colors. Physiological evidence for trichromatic theory was later given by Gunnar Svaetichin (1956).

text: Trichromatic color vision is the ability of humans and some other animals to see different

text: color

text: s, mediated by interactions among three types of color-sensing

text: cone cell

text: s. The

text: trichromatic color theory

text: began in the 18th century, when

text: Thomas Young

text: proposed that color vision was a result of three different

text: photoreceptor cell

text: s.

text: Hermann von Helmholtz

text: later expanded on Young's ideas using color-matching experiments which showed that people with normal vision needed three wavelengths to create the normal range of colors. Physiological evidence for trichromatic theory was later given by

text: Gunnar Svaetichin

text: Classical dyes and pigments produce color by the absorption and reflection of light; these are the materials that make a major impact on the color of our daily lives. In 2000, world production of organic dyes was 800,000 tonnes and of organic pigments, 250,000 tonnes. There is also a very large production of inorganic pigments. Organic dyes are used mainly to color textile fibers, paper, hair, leather, while pigments are used largely in inks, paints and plastics.

text: Classical

text: dye

text: s and

text: pigment

text: s produce color by the absorption and reflection of light; these are the materials that make a major impact on the color of our daily lives. In 2000, world production of

text: organic

text: dyes was 800,000 tonnes and of organic pigments, 250,000 tonnes. There is also a very large production of

text: inorganic

text: pigments. Organic dyes are used mainly to color

text: textile fibers

text: paper

text: hair

text: leather

text: , while pigments are used largely in

text: ink

text: s,

text: paint

text: s and

text: plastic

text: s.

text: The HSI model commonly used for computer vision, which takes H as a hue dimension and the component average I ("intensity") as a lightness dimension, does not attempt to "fill" a cylinder by its definition of saturation. Instead of presenting color choice or modification interfaces to end users, the goal of HSI is to facilitate separation of shapes in an image. Saturation is therefore defined in line with the psychometric definition: chroma relative to lightness (). See the Use in image analysis section of this article.

text: The HSI model commonly used for computer vision, which takes H as a hue dimension and the component average I ("intensity") as a lightness dimension, does not attempt to "fill" a cylinder by its definition of saturation. Instead of presenting color choice or modification interfaces to end users, the goal of HSI is to facilitate separation of shapes in an image. Saturation is therefore defined in line with the psychometric definition: chroma relative to lightness (). See the

text: Use in image analysis

text: section of this article.

text: The dorsal color pattern consists of light brown to deep reddish brown ground color overlaid with 12-18 broad brown or brownish crossbands. Laterally, these crossbands are more lightly colored in the center and usually contain one or two dark spots. The head is clearly marked on either side with two longitudinal light lines: the upper one is narrow and may be broken behind to the eye, while the lower one is wider and separated from the commissure by a dark band.

text: In biology, a pigment is any colored material of plant or animal cells. Many biological structures, such as skin, eyes, fur, and hair contain pigments (such as melanin).Animal skin coloration often comes about through specialized cells called chromatophores, which animals such as the octopus and chameleon can control to vary the animal's color. Many conditions affect the levels or nature of pigments in plant, animal, some protista, or fungus cells. For instance, the disorder called albinism affects the level of melanin production in animals.

text: In

text: biology

text: , a pigment is any

text: color

text: ed material of plant or animal cells. Many biological structures, such as

text: skin

text: eye

text: s,

text: fur

text: , and

text: hair

text: contain pigments (such as

text: melanin

text: Animal skin coloration

text: often comes about through specialized cells called

text: chromatophores

text: , which animals such as the

text: octopus

text: and

text: chameleon

text: can control to vary the animal's color. Many conditions affect the levels or nature of pigments in plant, animal, some

text: protista

text: , or

text: fungus

text: cells. For instance, the disorder called

text: albinism

text: affects the level of melanin production in animals.

text: Stands for set text color. Sets the color of the text in the current text box. The input can be the name of a color or a number. If the input is a name, a quotation mark must precede it. The original text color is black, or color number 9. If no text is selected, settc sets the text color for the next characters typed. You can also set the text color by choosing Color from the Text menu. See setfont, setfontsize, and setstyle.

text: Often described by using general terms, such as dark brown, yellowish brown, etc., soil colors are also described more technically by using Munsell soil color charts, which separate color into components of hue (relation to red, yellow and blue), value (lightness or darkness) and chroma (paleness or strength).

text: Often described by using general terms, such as dark brown, yellowish brown, etc., soil colors are also described more technically by using

text: Munsell soil color charts

text: , which separate color into components of hue (relation to red, yellow and blue), value (lightness or darkness) and chroma (paleness or strength).

text: The charge is placed in an escutcheon (shield) of the Modern French type. It is a nearly rectangular upright isosceles trapezoid, rounded at the bottom, whose upper base is slightly longer than the lower one, from the middle of which extends downwards a pointed tip. Although the shield is an integral part of the coat of arms, Polish law stipulates, in certain cases, to only use the charge without the escutcheon. The shades of the principal tinctures, white (Argent) and red (Gules), which are the national colors of Poland, are specified as coordinates in the CIE 1976 color space (see Flag of PolandNational colors for details).

text: The charge is placed in an

text: escutcheon

text: (shield) of the Modern French type. It is a nearly rectangular upright

text: isosceles trapezoid

text: , rounded at the bottom, whose upper base is slightly longer than the lower one, from the middle of which extends downwards a pointed tip. Although the shield is an integral part of the coat of arms, Polish law stipulates, in certain cases, to only use the charge without the escutcheon. The shades of the principal tinctures, white (

text: Argent

text: ) and red (

text: Gules

text: ), which are the national colors of Poland, are specified as coordinates in the

text: CIE 1976

text: color space (see

text: Flag of PolandNational colors

text: for details).

text: The "See It/Skip It/Rent It" review thumbnails, the DVD recommendations, and the "3 to See" segment were retained. For some films, the show used a new "Critics Roundup" segment (see below). In addition, instead of the traditional "The balcony is closed" sign-off, one of the hosts said, "We'll be at the movies," which echoed the "We'll see you at the movies" sign-off from the first seven seasons of Sneak Previews and the Tribune Entertainment-produced At the Movies. The show also featured a new upbeat theme arrangement and brighter color scheme. An attempt to liven up film clips during reviews by filling clip letterboxes with coloring was quickly discontinued after the first two episodes due to viewer complaints.

text: The "See It/Skip It/Rent It" review thumbnails, the DVD recommendations, and the "3 to See" segment were retained. For some films, the show used a new "Critics Roundup" segment (see

text: below

text: ). In addition, instead of the traditional "The balcony is closed" sign-off, one of the hosts said, "We'll be at the movies," which echoed the "We'll see you at the movies" sign-off from the first seven seasons of Sneak Previews and the Tribune Entertainment-produced At the Movies. The show also featured a new upbeat theme arrangement and brighter color scheme. An attempt to liven up film clips during reviews by filling clip

text: letterbox

text: es with coloring was quickly discontinued after the first two episodes due to viewer complaints.

text: Psoralens are materials that make the skin more sensitive to UV light. They are called photosensitizing agents and are found in plants or manufactured artificially. Psoralens are taken as pills ( systemically) or can be applied directly to the skin, by soaking the skin in a solution that contains psoralen. The psoralens allow to lower the dose of the UVA energy. When they are combined with exposure to UVA in PUVA, they are highly effective at clearing psoriasis and vitiligo. Like UVB light treatments, the reason in case of vitiligo is that they increase the sensitivity of the Melanocyte, the cell that manufactures the skin color, to UV light. The melanocyte has sensors that see the UV light and tells it to manufacture the skin brown color. The color protects the body from the harming UV light. It can also be a connection with the skin's immune response.

text: Psoralens are materials that make the skin more sensitive to UV light. They are called photosensitizing agents and are found in plants or manufactured artificially. Psoralens are taken as pills ( systemically) or can be applied directly to the skin, by soaking the skin in a solution that contains psoralen. The psoralens allow to lower the dose of the UVA energy. When they are combined with exposure to UVA in PUVA, they are highly effective at clearing

text: psoriasis

text: and

text: vitiligo

text: . Like

text: UVB

text: light treatments, the reason in case of vitiligo is that they increase the sensitivity of the Melanocyte, the cell that manufactures the skin color, to UV light. The melanocyte has sensors that see the UV light and tells it to manufacture the skin brown color. The color protects the body from the harming UV light. It can also be a connection with the skin's immune response.

text: This nudibranch displays a stunning set of colors: the body is purple, the cerata are orange and the rhinophores are scarlet. The neon orange appendages on the back of Flabellina iodinea are the cerata which extract oxygen from the sea water they are surrounded by and live in. The cerata are also extensions of the digestive system, and are used to store the stinging cells of the anemones and fan-like hydroids they eat. The red rhinophores are sensory structures used for detecting the presence of possible mates and prey. The purple, red, and orange colors are derived from a single carotenoid pigment, astaxanthin. The pigment appears in three modified states, leading to the three distinct colors.

text: This nudibranch displays a stunning set of colors: the body is purple, the cerata are orange and the

text: rhinophore

text: s are scarlet. The neon orange appendages on the back of Flabellina iodinea are the cerata which extract oxygen from the sea water they are surrounded by and live in. The cerata are also extensions of the digestive system, and are used to store the stinging cells of the anemones and fan-like hydroids they eat. The red rhinophores are sensory structures used for detecting the presence of possible mates and prey. The purple, red, and orange colors are derived from a single carotenoid pigment,

text: astaxanthin

text: . The pigment appears in three modified states, leading to the three distinct colors.

text: In one method, twenty-five control subjects were tested using color-based depth effects through the use of five different colored pairs of squares. The different colors were blue, red, green, cyan and yellow. Subjects were placed in a dark room and the colored square stimuli were presented for 400 milliseconds each, and during this time the subjects were asked to attend to either the right or left square (evenly counterbalanced across subjects). Using a joystick, the subject indicated whether the square was behind, in front of, or in the same plane as its pair. According to the theory, the longer the wavelength of the color, the closer it should be perceived by the observer for positive chromostereopsis. Having a longer wavelength than the other colors, red should appear closest. To enhance this effect, subjects put on blazed-grating ChromaDepthTM glasses, which contain a prism structure to refract the light to an angle of approximately 1° and were tested again.

text: In one method, twenty-five control subjects were tested using color-based depth effects through the use of five different colored pairs of squares. The different colors were blue, red, green,

text: cyan

text: and yellow. Subjects were placed in a dark room and the colored square

text: stimuli

text: were presented for 400

text: milliseconds

text: each, and during this time the subjects were asked to attend to either the right or left square (evenly counterbalanced across subjects). Using a

text: joystick

text: , the subject indicated whether the square was behind, in front of, or in the same plane as its pair. According to the theory, the longer the wavelength of the color, the closer it should be perceived by the observer for positive chromostereopsis. Having a longer wavelength than the other colors, red should appear closest. To enhance this effect, subjects put on blazed-grating ChromaDepthTM

text: glasses

text: , which contain a

text: prism

text: structure to

text: refract

text: the

text: light

text: to an

text: angle

text: of approximately 1° and were tested again.

text: In the early 1950s, Stanley Merz of the Photo Control Company, Minneapolis, began development of the National School Studios’ Model 10 camera, and in 1952, NSS opened its first plant outside of Minneapolis in Winnipeg, Manitoba. During that same year, Eastman Kodak developed a new negative process and new photographic paper that streamlined color photo development. With the help of Kodak, NSS developed the school photography industry’s first cluster lens printer making it possible to print multiple photos from a single exposure. NSS was first to offer full-color (hand-colored) school photos starting in 1956. Package printing and the Model 10 camera, a replacement for the original box camera, were introduced in 1957, the chief advantage of which was a separate film magazine, better lighting control and better film metering. The company’s first color print processor was installed in 1958.

text: In the early 1950s, Stanley Merz of the Photo Control Company, Minneapolis, began development of the National School Studios’ Model 10

text: camera

text: , and in 1952, NSS opened its first

text: plant

text: outside of Minneapolis in

text: Winnipeg

text: Manitoba

text: . During that same year,

text: Eastman Kodak

text: developed a new negative process and new photographic paper that streamlined

text: color photo

text: development. With the help of Kodak, NSS developed the school photography industry’s first cluster lens printer making it possible to print multiple photos from a single exposure. NSS was first to offer full-color (hand-colored) school photos starting in 1956. Package printing and the Model 10 camera, a replacement for the original box camera, were introduced in 1957, the chief advantage of which was a separate film magazine, better

text: lighting control

text: and better

text: film metering

text: . The company’s first color print processor was installed in 1958.

text: The game presented swirls of different colors stacked upon each other. The player would try to match up as many of the same colored swirls onscreen as possible, then, when satisfied with a combo, they would press the color, making them disappear. The more swirls one can gather together, the more points earned, as well as a reward of seeing the swirls disappear in different ways. The most rewarding way to see the swirls disappear is when they all go into the air and burst with firework-like sounds and cheers. If a swirl of a certain color is alone within a stack of other colored swirls, the player actually loses points.

text: Note: the object properties can be sorted in a different order from the one in which they are placed in actionscript. For coloring/markup, refer to the legend below.

text: This argument is correct and can be formalized as follows. By the law of total probability, the probability that the hidden color is the same as the displayed color equals the weighted average of the probabilities that the hidden color is the same as the displayed color, given that the displayed color is black or white respectively (the weights are the probabilities of seeing black and white respectively). By symmetry, the two conditional probabilities that the colours are the same given we see black and given we see white are the same. Since they moreover average out to  they must both be equal to .

text: This argument is correct and can be formalized as follows. By the

text: law of total probability

text: , the probability that the hidden color is the same as the displayed color equals the weighted average of the probabilities that the hidden color is the same as the displayed color, given that the displayed color is black or white respectively (the weights are the probabilities of seeing black and white respectively). By symmetry, the two conditional probabilities that the colours are the same given we see black and given we see white are the same. Since they moreover average out to  they must both be equal to .

text: Before the Industrial Revolution, the range of color available for art and decorative uses was technically limited. Most of the pigments in use were earth and mineral pigments, or pigments of biological origin. Pigments from unusual sources such as botanical materials, animal waste, insects, and mollusks were harvested and traded over long distances. Some colors were costly or impossible to obtain, given the range of pigments that were available. Blue and purple came to be associated with royalty because of their rarity.

text: Before the

text: Industrial Revolution

text: , the range of color available for art and decorative uses was technically limited. Most of the pigments in use were earth and

text: mineral

text: pigments, or pigments of biological origin. Pigments from unusual sources such as botanical materials, animal waste,

text: insect

text: s, and

text: mollusk

text: s were harvested and traded over long distances. Some colors were costly or impossible to obtain, given the range of pigments that were available.

text: Blue

text: and

text: purple

text: came to be associated with

text: royalty

text: because of their rarity.

text: Artist-grade pencils are filled with higher concentrations of high-quality pigments than student-grade colored pencils. Their lightfastness – resistance to UV rays in sunlight – is also measured and documented. Core durability, break and water resistance, and brand popularity are also notable features of artist-grade colored pencils. Artist-grade pencils have the largest color ranges; 72 color sets are very common and there are several brands of 120 colors or more. They are also typically available as individual pencils.

text: Artist-grade pencils are filled with higher concentrations of high-quality pigments than student-grade colored pencils. Their lightfastness – resistance to

text: UV rays

text: in sunlight – is also measured and documented. Core durability, break and water resistance, and brand popularity are also notable features of artist-grade colored pencils. Artist-grade pencils have the largest color ranges; 72 color sets are very common and there are several brands of 120 colors or more. They are also typically available as individual pencils.

text: In additive color devices such as computer displays and televisions, one of the primary light sources is typically a narrow-spectrum yellowish-green of dominant wavelength ~550nm; this "green" primary is combined with an orangish-red "red" primary and a purplish-blue "blue" primary to produce any color in betweenthe RGB color model. A unique green (green appearing neither yellowish nor bluish) is produced on such a device by mixing light from the green primary with some light from the blue primary.

text: In additive color devices such as computer displays and televisions, one of the

text: primary

text: light sources is typically a narrow-spectrum yellowish-green of dominant wavelength ~550nm; this "green" primary is combined with an orangish-red "red" primary and a purplish-blue "blue" primary to produce any color in betweenthe RGB color model. A

text: unique green

text: (green appearing neither yellowish nor bluish) is produced on such a device by mixing light from the green primary with some light from the blue primary.

text: In the European Union, a sound sign or tone color can be trade marked as sound trademark if it has significant differentiation and can be graphically represented. These requirements are satisfied if the sound trademark is clear, precise, self-contained, easily accessible, intelligible, durable and objective. Therefore sound signs or tone colors can only be registered in the member states of the European Union if they are precisely graphically represented, e.g. by musical notation or a sonogram, or any other distinct method, e.g. a sound recording.

text: In the

text: European Union

text: , a sound sign or tone color can be trade marked as sound trademark if it has significant differentiation and can be graphically represented. These requirements are satisfied if the sound trademark is clear, precise, self-contained, easily accessible, intelligible, durable and objective. Therefore sound signs or tone colors can only be registered in the member states of the European Union if they are precisely graphically represented, e.g. by musical notation or a sonogram, or any other distinct method, e.g. a sound recording.

text: |- style="background-color:#F6F6F6" ! style="background-color:#ffffff" | | colspan="5" | Derwentside Independents win|-|- style="background-color:#F6F6F6" ! style="background-color:#ffffff" | | colspan="5" | Derwentside Independents win|-|- style="background-color:#F6F6F6" ! style="background-color:#ffffff" | | colspan="5" | Wear Valley Independent Group win|-|- style="background-color:#F6F6F6" ! style="background-color:#ffffff" | | colspan="5" | Derwentside Independents win|-

text: Derwentside Independents

text: Derwentside Independents

text: win|-|- style="background-color:#F6F6F6" ! style="background-color:#ffffff" | | colspan="5" | Wear Valley Independent Group win|-|- style="background-color:#F6F6F6" ! style="background-color:#ffffff" | | colspan="5" |

text: Derwentside Independents

text: win|-

text: Biological pigments, also known simply as pigments or biochromes are substances produced by living organisms that have a color resulting from selective color absorption. Biological pigments include plant pigments and flower pigments. Many biological structures, such as skin, eyes, feathers, fur and hair contain pigments such as melanin in specialized cells called chromatophores.

text: Biological pigments, also known simply as pigments or biochromes are substances produced by living organisms that have a

text: color

text: resulting from selective

text: color absorption

text: . Biological pigments include plant pigments and flower pigments. Many biological structures, such as

text: skin

text: eye

text: s,

text: feathers

text: fur

text: and

text: hair

text: contain pigments such as

text: melanin

text: in specialized cells called

text: chromatophores

text: The aim of color calibration is to measure and/or adjust the color response of a device (input or output) to a known state. In International Color Consortium (ICC) terms, this is the basis for an additional color characterization of the device and later profiling. In non-ICC workflows, calibration refers sometimes to establishing a known relationship to a standard color space in one go. The device that is to be calibrated is sometimes known as a calibration source; the color space that serves as a standard is sometimes known as a calibration target. Color calibration is a requirement for all devices taking an active part of a color-managed workflow.

text: The aim of color calibration is to measure and/or adjust the color response of a device (input or output) to a known state. In

text: International Color Consortium

text: (ICC) terms, this is the basis for an additional color characterization of the device and later profiling. In non-ICC workflows, calibration refers sometimes to establishing a known relationship to a standard

text: color space

text: in one go. The device that is to be calibrated is sometimes known as a calibration source; the color space that serves as a standard is sometimes known as a calibration target. Color calibration is a requirement for all devices taking an active part of a

text: color-managed

text: workflow.

text: While aqueous inks often provide the broadest color gamut and most vivid color, most are not waterproof without specialized coating or lamination after printing. Most Dye-based inks, while usually the least expensive, are subject to rapid fading when exposed to light or ozone. Pigment-based aqueous inks are typically more costly but provide much better long-term durability and ultraviolet resistance. Inks marketed as "Archival Quality" are usually pigment-based.

text: While aqueous inks often provide the broadest

text: color gamut

text: and most vivid color, most are not waterproof without specialized coating or

text: lamination

text: after printing. Most

text: Dye

text: -based inks, while usually the least expensive, are subject to rapid fading when exposed to light or ozone.

text: Pigment

text: -based aqueous inks are typically more costly but provide much better long-term durability and

text: ultraviolet

text: resistance. Inks marketed as "

text: Archival Quality

text: " are usually pigment-based.

text: |-!colspan=9 style="background:#B18E5F; color:#000000;"| Exhibition|-!colspan=9 style="background:#B18E5F; color:#000000;"| Non-conference regular season|-!colspan=9 style="background:#B18E5F; color:#000000;"| Big Sky regular season|-!colspan=9 style="background:#B18E5F; color:#000000;"| |-!colspan=9 style="background:#B18E5F; color:#000000;"|

text: |-!colspan=9 style="background:#B18E5F; color:#000000;"| Exhibition|-!colspan=9 style="background:#B18E5F; color:#000000;"| Non-conference regular season|-!colspan=9 style="background:#B18E5F; color:#000000;"| Big Sky regular season|-!colspan=9 style="background:#B18E5F; color:#000000;"|

entity_name: 2016 Big Sky Conference Men's Basketball Tournament

text: |-!colspan=9 style="background:#B18E5F; color:#000000;"|

text: Purple is a color intermediate between blue and  red. It is similar to violet, but unlike violet, which is a spectral color with its own wavelength on the visible spectrum of light, purple is a composite color made by combining red and blue.  According to surveys In Europe and the U.S., purple is the color most often associated with royalty, magic, mystery and piety. When combined with pink, it is associated with eroticism, femininity and seduction.

text: Purple is a color intermediate between

text: blue

text: and

text: red

text: . It is similar to

text: violet

text: , but unlike violet, which is a

text: spectral color

text: with its own wavelength on the

text: visible spectrum

text: of light, purple is a composite color made by combining red and blue.  According to surveys In Europe and the U.S., purple is the color most often associated with royalty, magic, mystery and piety. When combined with pink, it is associated with

text: eroticism

text: , femininity and

text: seduction

text: Earl Conee objects that having an ability to imagine seeing a color is neither necessary nor sufficient for knowing what it is like to see that color, meaning the ability hypothesis does not capture the nature of the new knowledge Mary acquires upon leaving the room. To show that ability is not necessary, Conee cites the example of someone who is able to see colors when she is looking at them, but who lacks the capacity to imagine colors when she is not. He argues that while staring at something that looks red to her, she would have knowledge of what it is like to see red, even though she lacks the ability to imagine what it is like. In order to show precisely that imaginative abilities are not sufficient for knowing what it is like, Conee introduces the following example: Martha, "who is highly skilled at visualizing an intermediate shade that she has not experienced between pairs of shades that she has experienced...happens not to have any familiarity with the shade known as cherry red". Martha has been told that cherry red is exactly midway between burgundy red and fire red (she has experienced these two shades of red, but not cherry). With this, Martha has the ability to imagine cherry red if she so chooses, but as long as she does not exercise this ability, to imagine cherry red, she does not know what it is like to see cherry red.

text: Light and color can influence how people perceive the area around them. Different light sources affect how the colors of walls and other objects are seen. Specific hues of colors seen under natural sunlight may vary when seen under the light from an incandescent (tungsten) light-bulb: lighter colors may appear to be more orange or "brownish" and darker colors may appear even darker. Light and the color of an object can affect how one perceives its positioning. If light or shadow, or the color of the object, masks an object's true contour (outline of a figure) it can appear to be shaped differently from reality. Objects under a uniform light-source will promote better impression of three-dimensional shape. The color of an object may affect whether or not it seems to be in motion. In particular, the trajectories of objects under a light source whose intensity varies with space are more difficult to determine than identical objects under a uniform light source. This could possibly be interpreted as interference between motion and color perception, both of which are more difficult under variable lighting.

text: Azure also describes the color of the mineral azurite, both in its natural form and as a pigment in various paint formulations. In order to preserve its deep color, azurite was ground coarsely. Fine-ground azurite produces a lighter, washed-out color. Traditionally, the pigment was considered unstable in oil paints, and was sometimes isolated from other colors and not mixed. Modern investigation of old paintings, however, shows that the pigment is very stable unless exposed to sulfur fumes.

text: Azure also describes the color of the mineral

text: azurite

text: , both in its natural form and as a pigment in various paint formulations. In order to preserve its deep color, azurite was ground coarsely. Fine-ground azurite produces a lighter, washed-out color. Traditionally, the pigment was considered unstable in oil paints, and was sometimes isolated from other colors and not mixed. Modern investigation of old paintings, however, shows that the pigment is very stable unless exposed to sulfur fumes.

text: Another problem with water is that light attenuation is a function of the wavelength. This means that different color get attenuated faster than others, leading to color degradation. Red and orange light is the first to get attenuated, followed by yellows and greens. Blue is the less attenuated wavelength.

text: Visual color measurement is the conventional and usual form of liquid color measurement.  In this case the sample is held up to a series of color standards in order to see which standard the sample most closely resembles.  This measurement is only approximate, but is the less expensive method as the only expense is the set of color standards to which the sample is matched.  This is by far the most commonly used method because of this inexpensive nature.

text: Visual color

text: measurement

text: is the conventional and usual form of liquid color measurement.  In this case the sample is held up to a series of color standards in order to see which standard the sample most closely resembles.  This measurement is only approximate, but is the less expensive method as the only expense is the set of color standards to which the sample is matched.  This is by far the most commonly used method because of this inexpensive nature.

text: |- style="background-color:#bbffbb"| 1 || April 2 || Orioles || 7 – 4 || Santana (1-0) || Bédard (0-1) || Nathan (1) || 48,711 || 1-0|- style="background-color:#bbffbb"| 2 || April 3 || Orioles || 3 – 2 ||Neshek (1-0)||Cabrera (0-1) ||Nathan (2) ||24,439 ||2-0|- style="background-color:#bbffbb"| 3 || April 4 || Orioles || 7 – 2 ||Ortiz (1-0) ||Wright (0-1)|| || 27,539|| 3-0|- style="background-color:#bbbbbb"| -- || April 6 || @ White Sox || colspan=5|Postponed (cold weather) rescheduled for July 6|| 3-0|- style="background-color:#ffbbbb"| 4 || April 7 || @ White Sox || 3 – 0 || Vázquez (1-0) || Silva (0-1)|| Jenks (1) || 33,278 || 3-1|- style="background-color:#bbffbb"| 5 || April 8 || @ White Sox || 3 – 1 || Santana (2-0) || Danks (0-1) || Nathan (3) || 27,653 || 4-1|- style="background-color:#ffbbbb"| 6 || April 9 || Yankees || 8 – 2 || Pavano (1-0) || Ponson (0-1) || || 26,047 || 4-2|- style="background-color:#ffbbbb"| 7 || April 10 || Yankees || 10 – 1 || Pettitte (1-0) || Bonser (0-1) || || 24,552 || 4-3|- style="background-color:#bbffbb"| 8 || April 11 || Yankees || 5 – 1 || Ortiz (2-0) || Farnsworth (0-1) || || 30,131 || 5-3|- style="background-color:#bbffbb"| 9 || April 12 || Devil Rays || 3 – 2 || Nathan (1-0) || Stokes (0-2) || || 15,869 || 6-3|- style="background-color:#ffbbbb"| 10 || April 13 || Devil Rays || 4 – 2 || Kazmir (2-0) || Santana (2-1) || Reyes (3) || 27,783 || 6-4|- style="background-color:#bbffbb"| 11 || April 14 || Devil Rays || 12 – 5 || Ponson (1-1) || Jackson (0-2) || || 35,269 || 7-4|- style="background-color:#ffbbbb"| 12 || April 15 || Devil Rays || 6 – 4 || Stokes (1-2) || Nathan (1-1) || Reyes (4) || 27,024 || 7-5|- style="background-color:#bbffbb"| 13 || April 17 || @ Mariners || 11 – 2 || Ortiz (3-0) || Weaver (0-2) || || 19,015 || 8-5|- style="background-color:#bbffbb"| 14 || April 18 || @ Mariners || 5 – 4 || Silva (1-1) || Hernández (2-1) || Nathan (4) ||20,871 || 9-5|- style="background-color:#bbffbb"| 15 || April 19 || @ Mariners || 6 – 5 || Santana (3-1) ||Washburn (0-2) || Nathan (5)|| 19,350 || 10-5|- style="background-color:#ffbbbb"| 16 || April 20 || @ Royals || 11 – 7 || Pérez (1-2) || Ponson (1-2) || Riske (2) || 31,813 || 10-6|- style="background-color:#bbffbb"| 17 || April 21 || @ Royals || 7 – 5 ||Neshek (2-0) ||Peralta (0-2) ||Nathan (6) || 20,566|| 11-6|- style="background-color:#ffbbbb"| 18 || April 22 || @ Royals || 3 – 1 || de la Rosa (2-1) || Ortiz (3-1) || Soria (2) || 14,801 || 11-7|- style="background-color:#ffbbbb"| 19 || April 23 || Indians || 7 – 3 (12) || Hernández (2-1) || Crain (0-1) || || 16,076 || 11-8|- style="background-color:#ffbbbb"| 20 || April 24 || Indians || 5 – 3 || Carmona (1-1) || Santana (3-2) || Borowski (8) || 20,849 || 11-9|- style="background-color:#ffbbbb"| 21 || April 25 || Royals || 4 – 3 || Pérez (2-2) || Ponson (1-3) || Soria (3) || 21,496 || 11-10|- style="background-color:#bbffbb"| 22 || April 26 || Royals || 1 – 0 (11) ||Rincón (1-0)|| Wellemeyer (0-1) || ||18,520 || 12-10|- style="background-color:#bbffbb"| 23 || April 27 || @ Tigers || 5 – 3 ||Crain (1-1)||Zumaya (0-1)||Nathan (7) || 31,147|| 13-10|- style="background-color:#bbffbb"| 24 || April 28 || @ Tigers || 11 – 3 || Silva (2-1) || Verlander (1-1) || || 39,547 || 14-10|- style="background-color:#ffbbbb"| 25 || April 29 || @ Tigers || 4 – 3 || Jones (1-1) || Crain (1-2) || ||36,483 || 14-11|- style="background-color:#bbffbb"| 26 || May 1 || @ Devil Rays || 9 – 1 ||Ponson (2-3) ||Jackson (0-4)|| ||8,773 || 15-11|- style="background-color:#ffbbbb"| 27 || May 2 || @ Devil Rays || 4 – 3 (10) || Reyes (1-0) || Guerrier (0-1) || || 9,101 || 15-12|- style="background-color:#ffbbbb"| 28 || May 3 || @ Devil Rays || 6 – 4 || Shields (3-0) || Ortiz (3-2) || Reyes (10) || 8,793 || 15-13|- style="background-color:#ffbbbb"| 29 || May 4 || Red Sox || 2 – 0 || Wakefield (3-3) || Silva (2-2) || Papelbon (9) || 34,951 || 15-14|- style="background-color:#bbffbb"| 30 || May 5 || Red Sox || 2 – 1 || Santana (4-2) || Tavárez (1-3) || Nathan (8) || 40,088 || 16-14|- style="background-color:#ffbbbb"| 31 || May 6 || Red Sox || 4 – 3 || Schilling (4-1) || Ponson (2-4) || Papelbon (10) || 27,807 || 16-15|- style="background-color:#bbffbb"| 32 || May 8 || White Sox || 7 – 4 (10) || Rincón (2-0) || Sisco (0-1) || || 21,979 || 17-15|- style="background-color:#ffbbbb"| 33 || May 9 || White Sox || 6 – 3 || Danks (1-4) || Ortiz (3-3) || || 24,367 || 17-16|- style="background-color:#ffbbbb"| 34 || May 10 || White Sox || 3 – 0 ||Contreras (3-3) || Silva (2-3) || || 23,663 || 17-17|- style="background-color:#ffbbbb"| 35 || May 11 || Tigers || 7 – 3 || Maroth (3-0) || Santana (4-3) || || 31,458 || 17-18|- style="background-color:#ffbbbb"| 36 || May 12 || Tigers || 8 – 2 || Durbin (3-1) || Ponson (2-5) || || 32,176 || 17-19|- style="background-color:#bbffbb"| 37 || May 13 || Tigers || 16 – 4 || Bonser (1-1) || Vasquez (0-1)|| || 25,037 || 18-19|- style="background-color:#ffbbbb"| 38 || May 15 || @ Indians ||15 – 7 ||Byrd (3-1) || Ortiz (3-4) || || 23,325 || 18-20|- style="background-color:#ffbbbb"| 39 || May 16 || @ Indians || 7 – 1 || Sabathia (6-1) ||Silva (2-4) || || 17,678 || 18-21|- style="background-color:#ffbbbb"| 40 || May 17 || @ Indians || 2 – 0 || Carmona (5-1) || Santana (4-4) || || 28,609 || 18-22|- style="background-color:#bbffbb"| 41 || May 18 || @ Brewers || 8 – 1 || Bonser (2-1) || Capuano (5-2) || || 44,759 || 19-22|- style="background-color:#bbffbb"| 42 || May 19 || @ Brewers || 5 – 2 || Baker (1-0) || Bush (3-4) || || 44,427 || 20-22|- style="background-color:#ffbbbb"| 43 || May 20 || @ Brewers || 6 – 5 || Wise (1-1) || Reyes (0-1) || Cordero (17) || 39,119 || 20-23|- style="background-color:#ffbbbb"| 44 || May 21 || @ Rangers || 14 – 4 || Padilla (2-6) || Silva (2-5) || || 24,814 || 20-24|- style="background-color:#bbffbb"| 45 || May 22 || @ Rangers || 7 – 1 || Santana (5-4) || Loe (1-4) || || 27,013 || 21-24|- style="background-color:#bbffbb"| 46 || May 23 || @ Rangers || 5 – 3 || Bonser (3-1) || Tejeda (4-4) || Nathan (9) || 24,370 || 22-24|- style="background-color:#bbffbb"| 47 || May 25 || Blue Jays || 4 – 3 || Guerrier (1-1)|| Downs (1-1)|| Nathan (10) || 26,781 || 23-24|- style="background-color:#ffbbbb"| 48 || May 26 || Blue Jays || 9 – 8 (13) || Tallet (1-1) || Guerrier (1-2) || || 31,434 || 23-25|- style="background-color:#bbffbb"| 49 || May 27 || Blue Jays || 4 – 2 || Silva (3-5) || Burnett (5-4) || Nathan (11) || 25,781 || 24-25|- style="background-color:#bbffbb"| 50 || May 28 || White Sox || 10 – 4 || Santana (6-4) || Contreras (4-5) || || 27,090 || 25-25|- style="background-color:#bbffbb"| 51 || May 29 || White Sox || 9 – 2 || Bonser (4-1) || Danks (3-5) || || 23,771 || 26-25|- style="background-color:#bbffbb"| 52 || May 30 || White Sox || 7 – 6 || Nathan (2-1) || MacDougal (1-2) || || 29,042 || 27-25|- style="background-color:#bbffbb"| 53 || June 1 || @ Athletics || 3 – 2 (10) || Neshek (3-0) || Calero (0-4) || Nathan (12) || 20,219 || 28-25|- style="background-color:#ffbbbb"| 54 || June 2 || @ Athletics || 1 – 0 || Blanton (5-3) || Silva (3-6) || || 30,576 || 28-26|- style="background-color:#ffbbbb"| 55 || June 3 || @ Athletics || 4 – 2 || Gaudin (6-1) || Santana (6-5) || Embree (4) || 25,388 || 28-27|- style="background-color:#ffbbbb"| 56 || June 4 || @ Angels || 16 – 3 || Weaver (5-3) || Bonser (4-2) || || 37,380 || 28-28|- style="background-color:#ffbbbb"| 57 || June 5 || @ Angels || 5 – 1 || Escobar (7-3) || Baker (1-1) || || 42,001 || 28-29|- style="background-color:#bbffbb"| 58 || June 6 || @ Angels || 8 – 5 || Slowey (1-0) || Lackey (9-4) || Nathan (13) || 36,453 || 29-29|- style="background-color:#ffbbbb"| 59 || June 8 || Nationals || 8 – 5 || Simontacchi (3-4) || Silva (3-7) || Rivera (2) || 25,144 || 29-30|- style="background-color:#ffbbbb"| 60 || June 9 || Nationals || 3 – 1 || Speigner (2-2) || Santana (6-6) || Cordero (8) || 39,742 || 29-31|- style="background-color:#bbffbb"| 61 || June 10 || Nationals || 6 – 3 || Bonser (5-2) || Bacsik (1-3) || Nathan (14) || 31,035 || 30-31|- style="background-color:#bbffbb"| 62 || June 12 || Braves || 7 – 3 || Slowey (2-0) || Davies (3-5) || || 25,868 || 31-31|- style="background-color:#bbffbb"| 63 || June 13 || Braves || 6 – 0 || Silva (4-7) || James (5-6) || || 27,903 || 32-31|- style="background-color:#bbffbb"| 64 || June 14 || Braves || 3 – 2 || Reyes (1-1) || Wickman (1-2) || || 26,714 || 33-31|- style="background-color:#ffbbbb"| 65 || June 15 || Brewers || 11 – 3 || Vargas (5-1) || Baker (1-2) || Shouse (1) || 27,977 || 33-32|- style="background-color:#ffbbbb"| 66 || June 16 || Brewers || 5 – 2 || Bush (4-6) || Bonser (5-3) || Cordero (25) || 37,117 || 33-33|- style="background-color:#bbffbb"| 67 || June 17 || Brewers || 10 – 9 || Nathan (3-1) || Spurling (1-1) || || 31,624 || 34-33|- style="background-color:#ffbbbb"| 68 || June 18 || @ Mets || 8 – 1 || Maine (7-4) || Silva (4-8) || || 37,319 || 34-34|- style="background-color:#bbffbb"| 69 || June 19 || @ Mets || 9 – 0 || Santana (7-6) || Sosa (6-3) || || 40,935 || 35-34|- style="background-color:#bbffbb"| 70 || June 20 || @ Mets || 6 – 2 || Baker (2-2) || Pérez (7-6) || || 44,517 || 36-34|- style="background-color:#ffbbbb"| 71 || June 22 || @ Marlins || 5 – 4 || Benítez (2-3) || Rincón (2-1) || Gregg (14) || 15,271 || 36-35|- style="background-color:#bbffbb"| 72 || June 23 || @ Marlins || 11 – 1 || Silva (5-8) || Johnson (0-2) || || 21,368 || 37-35|- style="background-color:#bbffbb"| 73 || June 24 || @ Marlins || 7 – 4 || Santana (8-6) || Kim (3-4) || || 15,035 || 38-35|- style="background-color:#ffbbbb"| 74 || June 25 || Blue Jays || 8 – 5 || Halladay (9-2) || Guerrier (1-3)|| Accardo (9) || 24,240 || 38-36|- style="background-color:#bbffbb"| 75 || June 26 || Blue Jays || 2 – 1 (12) || Rincón (3-1) || Tallet (2-2) || || 27,000 || 39-36|- style="background-color:#ffbbbb"| 76 || June 27 || Blue Jays || 5 – 4 || Towers (3-5) || Bonser (5-4) || Accardo (10) || 30,959 || 39-37|- style="background-color:#bbffbb"| 77 || June 28 || Blue Jays || 8 – 5 || Silva (6-8) || Frasor (1-3)|| Nathan (15) || 31,038 || 40-37|- style="background-color:#bbffbb"| 78 || June 29 || @ Tigers || 11 – 1 || Santana (9-6) || Verlander (9-3) || || 42,361 || 41-37|- style="background-color:#bbffbb"| 79 || June 30 || @ Tigers || 8 – 5 || Slowey (3-0) || Miller (3-2) || Nathan (16) || 41,588 || 42-37|- style="background-color:#ffbbbb"| 80 || July 1 || @ Tigers || 1 – 0 || Bonderman (9-1) || Baker (2-3) || Jones (20) || 41,078 || 42-38|- style="background-color:#ffbbbb"| 81 || July 2 || @ Yankees || 5 – 1 || Clemens (2-3) || Bonser (5-5) || || 53,036 || 42-39|- style="background-color:#ffbbbb"| 82 || July 3 || @ Yankees || 8 – 0 || Wang (8-4) || Silva (6-9) || || 53,862 || 42-40|- style="background-color:#bbffbb"| 83 || July 4 || @ Yankees || 6 – 2 || Santana (10-6) || Mussina (4-6) || || 52,040 || 43-40|- style="background-color:#ffbbbb"| 84 || July 5 || @ Yankees || 7 – 6 || Farnsworth (1-1) || Neshek (3-1) || Rivera (11) || 52,471 || 43-41|- style="background-color:#bbffbb"| 85 || July 6 || @ White Sox || 20 – 14 || Baker (3-3) || Garland (6-6) || || 31,543 || 44-41|- style="background-color:#bbffbb"| 86 || July 6 || @ White Sox || 12 – 0 || Garza (1-0) || Floyd (0-1) || || 32,426 || 45-41|- style="background-color:#ffbbbb"| 87 || July 7 || @ White Sox || 3 – 1 || Buehrle (6-4) || Bonser (5-6) || Jenks (23) || 36,791 || 45-42|- style="background-color:#ffbbbb"| 88 || July 8 || @ White Sox || 6 – 3 || Vázquez (6-5) || Silva (6-10) || || 32,724 || 45-43|- style="background-color:#bbffbb"| 89 || July 12 || Athletics || 6 – 2 || Baker (4-3) || Gaudin (8-4) || || 25,207 || 46-43|- style="background-color:#bbffbb"| 90 || July 13 || Athletics || 5 – 3 || Santana (11-6) || DiNardo (3-6) || Nathan (17) || 36,338 || 47-43|- style="background-color:#bbffbb"| 91 || July 14 || Athletics || 4 – 3 || Silva (6-10) || Blanton (8-6) || Nathan (18) || 36,066 || 48-43|- style="background-color:#bbffbb"| 92 || July 15 || Athletics || 4 – 3 || Neshek (4-1) || Kennedy (2-8) || || 36,737 || 49-43|- style="background-color:#ffbbbb"| 93 || July 17 || Tigers || 1 – 0 || Robertson (6-6) || Garza (1-1) || Jones (24) || 30,939 || 49-44|- style="background-color:#ffbbbb"| 94 || July 18 || Tigers || 3 – 2 || Miller (5-3) || Santana (10-7) || Jones (25) || 38,070 || 49-45|- style="background-color:#ffbbbb"| 95 || July 19 || Tigers || 4 – 3 (10) || Miner (1-1) || Nathan (3-2) || Jones (26) || 36,551 || 49-46|- style="background-color:#bbffbb"| 96 || July 20 || Angels || 7 – 5 || Silva (8-10) || Lackey (12-6) || Nathan (19) || 35,794 || 50-46|- style="background-color:#bbffbb"| 97 || July 21 || Angels || 5 – 2 || Neshek (5-1) || Shields (2-3) || Nathan (20) || 33,868 || 51-46|- style="background-color:#ffbbbb"| 98 || July 22 || Angels || 7 – 2 || Saunders (4-0) || Garza (1-2) || || 33,217 || 51-47|- style="background-color:#ffbbbb"| 99 || July 23 || @ Blue Jays || 6 – 4 || Marcum (6-4) || Santana (11-8) || Accardo (16) || 26,091 || 51-48|- style="background-color:#ffbbbb"| 100 || July 24 || @ Blue Jays || 7 – 0 || McGowan (7-5) || Baker (4-4) || || 30,669 || 51-49|- style="background-color:#ffbbbb"| 101 || July 25 || @ Blue Jays || 13 – 1 || Litsch (3-4) || Silva (8-11) || || 37,342 || 51-50|- style="background-color:#ffbbbb"| 102 || July 27 || @ Indians || 10 – 4 || Byrd (9-4) || Bonser (5-7) || || 37-292 || 51-51|- style="background-color:#bbffbb"| 103 || July 28 || @ Indians || 3 – 2 || Neshek (6-1) || Borowski (2-4) || Nathan (21) || 41,203 || 52-51|- style="background-color:#bbffbb"| 104 || July 29 || @ Indians || 4 – 1 || Reyes (2-1) ||Sabathia (13-6) || Nathan (22) || 37,102 || 53-51|- style="background-color:#bbffbb"| 105 || July 30 || Royals || 3 – 1 || Baker (5-4) || Meche (7-8) || Nathan (23) || 23,628 || 54-51|- style="background-color:#bbffbb"| 106 || July 31 || Royals || 5 – 3 || Silva (9-11) || de la Rosa (8-11) || Nathan (24) || 22,890 || 55-51|- style="background-color:#ffbbbb"| 107 || August 1 || Royals || 5 – 3 (10) || Greinke (5-5) || Rincón (3-2) || Soria (11) || 24,880 || 55-52|- style="background-color:#bbbbbb"| -- || August 2 || Royals ||colspan=5|Postponed (I-35W bridge collapse) rescheduled for August 31|| 55-52|- style="background-color:#ffbbbb"| 108 || August 3 || Indians || 5 – 4 || Sabathia (14-6) || Santana (11-9) || Borowski (30) || 31,664 || 55-53|- style="background-color:#bbffbb"| 109 || August 4 || Indians || 3 – 2 || Ortiz (4-4) || Laffey (0-1) || Nathan (25) || 33,663 || 56-53|- style="background-color:#bbffbb"| 110 || August 5 || Indians || 1 – 0 || Baker (6-4) || Carmona (13-6) || Nathan (26) || 38,334 || 57-53|- style="background-color:#ffbbbb"| 111 || August 6 || Indians || 4 – 0 || Byrd (10-4) || Silva (9-12) || || 28,314 || 57-54|- style="background-color:#ffbbbb"| 112 || August 7 || @ Royals || 5 – 1 || Bannister (8-6) || Bonser (5-8) || || 15,648 || 57-55|- style="background-color:#bbffbb"| 113 || August 8 || @ Royals || 11 – 4 || Santana (12-9) || Pérez (6-11) || || 21,503 || 58-55|- style="background-color:#ffbbbb"| 114 || August 9 || @ Royals || 1 – 0 || Davies (1-0) || Garza (1-3) || Soria (12) || 14,569 || 58-56|- style="background-color:#ffbbbb"| 115 || August 10 || @ Angels || 10 – 1 || Escobar (12-6) || Baker (6-5) || || 43,810 || 58-57|- style="background-color:#ffbbbb"| 116 || August 11 || @ Angels || 4 – 3 || Lackey (15-6) || Neshek (6-2) || Rodríguez (29) || 44,064 || 58-58|- style="background-color:#ffbbbb"| 117 || August 12 || @ Angels || 6 – 2 || Jer Weaver (8-5) || Bonser (5-9) || || 43,911 || 58-59|- style="background-color:#ffbbbb"| 118 || August 13 || @ Mariners || 4 – 3 || Putz (2-1) || Guerrier (1-4) || || 37,902 || 58-60|- style="background-color:#bbffbb"| 119 || August 14 || @ Mariners || 11 – 3 || Garza (2-3) || Ramírez (7-4) || || 33,729 || 59-60|- style="background-color:#bbffbb"| 120 || August 15 || @ Mariners || 6 – 1 || Neshek (7-2) || Washburn (8-10) || || 42,921 || 60-60|- style="background-color:#bbffbb"| 121 || August 17 || Rangers || 2 – 1 (10) || Guerrier (2-4) || Wright (3-5) || || 30,924 || 61-60|- style="background-color:#ffbbbb"| 122 || August 18 || Rangers || 5 – 0 || Loe (6-9) || Bonser (5-10) || || 41,037 || 61-61|- style="background-color:#bbffbb"| 123 || August 19 || Rangers || 1 – 0 || Santana (13-9) || Millwood (8-10) || Nathan (27) || 36,353 || 62-61|- style="background-color:#ffbbbb"| 124 || August 20 || Mariners || 9 – 4 || Ramírez (8-4) || Garza (2-4) || || 31,755 || 62-62|- style="background-color:#ffbbbb"| 125 || August 21 || Mariners || 7 – 2 || Washburn (9-10) || Baker (6-6) || || 42,373 || 62-63|- style="background-color:#bbffbb"| 126 || August 22 || Mariners || 8 – 4 || Silva (10-12) || Batista (13-9) || || 29,881 || 63-63|- style="background-color:#bbffbb"| 127 || August 23 || @ Orioles || 5 – 2 || Bonser (6-10) || Trachsel (6-8) || Guerrier (1) || 19,389 || 64-63|- style="background-color:#bbffbb"| 128 || August 24 || @ Orioles || 7 – 4 || Santana (14-9) || Hoey (1-2) || Nathan (28) || 29,742 || 65-63|- style="background-color:#bbffbb"| 129 || August 25 || @ Orioles || 8 – 1 || Garza (3-4) || Liz (0-1) || || 28,700 || 66-63|- style="background-color:#bbffbb"| 130 || August 26 || @ Orioles || 11 – 3 || Baker (7-6) || Bédard (13-5) || || 30,876 || 67-63|- style="background-color:#ffbbbb"| 131 || August 27 || @ Indians || 8 – 3 || Byrd (13-5) || Silva (10-13) || || 23,178 || 67-64|- style="background-color:#ffbbbb"| 132 || August 28 || @ Indians || 6 – 5 || Westbrook (5-7) || Bonser (6-11) || Borowski (38) || 24,784 || 67-65|- style="background-color:#ffbbbb"| 133 || August 29 || @ Indians || 4 – 3 || Sabathia (15-7) || Santana (14-10) || Borowski (39) || 27,303 || 67-66|- style="background-color:#ffbbbb"| 134 || August 31 || Royals || 9 – 4 || Davies (6-11) || Garza (3-5) || || 15,736 || 67-67|- style="background-color:#bbffbb"| 135 || August 31 || Royals || 5 – 0 || Baker (8-6) || Meche (7-12) || || 24,986 || 68-67|- style="background-color:#bbffbb"| 136 || September 1 || Royals || 6 – 4 || Silva (11-13) || Duckworth (2-4) || Nathan (29) || 21,738 || 69-67|- style="background-color:#ffbbbb"| 137 || September 2 || Royals || 8 – 1 || Bannister (12-7) || Bonser (6-12) || || 26,454 || 69-68|- style="background-color:#ffbbbb"| 138 || September 3 || Indians || 5 – 0 || Sabathia (16-7) || Santana (14-11) || || 24,105 || 69-69|- style="background-color:#ffbbbb"| 139 || September 4 || Indians || 7 – 5 (11) || Betancourt (4-0) || DePaula (0-1) || Borowski (40) || 16,218 || 69-70|- style="background-color:#ffbbbb"| 140 || September 5 || Indians || 6 – 2 || Carmona (15-8) || Baker (8-7) || Pérez (1) || 13,977 || 69-71|- style="background-color:#ffbbbb"| 141 || September 7 || @ White Sox || 11 – 10 (13) || Phillips (1-1) || Rincón (3-3) || || 34,104 || 69-72|- style="background-color:#ffbbbb"| 142 || September 8 || @ White Sox || 8 – 7 || Myers (4-0) || Cali (0-1) || Thornton (2) || 31,747 || 69-73|- style="background-color:#bbffbb"| 143 || September 9 || @ White Sox || 5 – 2 || Santana (15-11) || Garland (9-11) || Nathan (30) || 32,250 || 70-73|- style="background-color:#bbffbb"| 144 || September 10 || @ Royals || 4 – 2 || Bonser (7-12) || Buckner (0-1) || Nathan (31) || 10,525 || 71-73|- style="background-color:#bbffbb"| 145 || September 11 || @ Royals || 6 – 3 || Baker (9-7) || Davies (6-13) || Nathan (32) || 12,891 || 72-73|- style="background-color:#ffbbbb"| 146 || September 12 || @ Royals || 6 – 3 || Meche (8-12) || Silva (11-14) || || 10,102 || 72-74|- style="background-color:#ffbbbb"| 147 || September 14 || Tigers || 4 – 2 || Robertson (8-11) || Garza (3-6) || Jones (35) || 22,282 || 72-75|- style="background-color:#ffbbbb"| 148 || September 15 || Tigers || 4 – 3 || Zumaya (2-3) || Santana (15-12) || Jones (36) || 35,230 || 72-76|- style="background-color:#ffbbbb"| 149 || September 16 || Tigers || 6 – 4 || Jurrjens (3-1) || Baker (9-8) || Jones (37) || 21,771 || 72-77|- style="background-color:#bbffbb"| 150 || September 17 || Rangers || 5 – 4 || Nathan (4-2) || Benoit (7-4) || || 14,197 || 73-77|- style="background-color:#bbffbb"| 151 || September 18 || Rangers || 4 – 2 || Silva (12-14) || Millwood (9-13) || Nathan (33) || 18,226 || 74-77|- style="background-color:#bbffbb"| 152 || September 19 || Rangers || 4 – 2 || Garza (4-6) || Padilla (6-10) || Nathan (34) || 17,842 || 75-77|- style="background-color:#ffbbbb"| 153 || September 21 || White Sox || 6 – 4 || Buehrle (10-9) || Santana (15-13) || Jenks (39) || 27,928 || 75-78|- style="background-color:#ffbbbb"| 154 || September 22 || White Sox || 8 – 3 || J. Vázquez (14-8) || Baker (9-9) || || 31,737 || 75-79|- style="background-color:#bbffbb"| 155 || September 23 || White Sox || 7 – 1 || Slowey (4-0) || Floyd (1-5) || || 29,382 || 76-79|- style="background-color:#bbffbb"| 156 || September 24 || @ Tigers || 2 – 0 || Silva (13-14) || Robertson (8-13) || Nathan (35) || 32,716 || 77-79|- style="background-color:#ffbbbb"| 157 || September 25 || @ Tigers || 8 – 0 || Bazardo (2-1) || Garza (4-7) || || 31,394 || 77-80|- style="background-color:#ffbbbb"| 158 || September 26 || @ Tigers || 9 – 4 (6) || Byrdak (3-0) || Blackburn (0-1) || || 35,375 || 77-81|- style="background-color:#bbffbb"| 159 || September 27 || @ Red Sox || 5 – 4 || Bonser (8-12) || Beckett (20-7) || Nathan (36) || 36,743 || 78-81|- style="background-color:#ffbbbb"| 160 || September 28 || @ Red Sox || 5 – 2 || Matsuzaka (15-12) || Slowey (4-1) || Papelbon (37) || 36,843 || 78-82|- style="background-color:#ffbbbb"| 161 || September 29 || @ Red Sox || 6 – 4 || Wakefield (17-12) || Blackburn (0-2) || Okajima (5) || 36,619 || 78-83|- style="background-color:#bbffbb"| 162 || September 30 || @ Red Sox || 3 – 2 || Garza (5-7) || Tavárez (7-11) || Nathan (37) || 36,364 || 79-83

text: |- style="background-color:#bbffbb"| 1 || April 2 ||

text: Orioles

text: || 7 – 4 ||

text: Santana

text: (1-0) ||

text: Bédard

text: (0-1) ||

text: Nathan

text: (1) || 48,711 || 1-0|- style="background-color:#bbffbb"| 2 || April 3 ||

text: Orioles

text: || 3 – 2 ||

text: Neshek

text: Cabrera

text: (0-1) ||

text: Nathan

text: (2) ||24,439 ||2-0|- style="background-color:#bbffbb"| 3 || April 4 ||

text: Orioles

text: || 7 – 2 ||

text: Ortiz

text: (1-0) ||

text: Wright

text: (0-1)|| || 27,539|| 3-0|- style="background-color:#bbbbbb"| -- || April 6 || @

text: White Sox

text: || colspan=5|Postponed (cold weather) rescheduled for July 6|| 3-0|- style="background-color:#ffbbbb"| 4 || April 7 || @

text: White Sox

text: || 3 – 0 ||

text: Vázquez

text: (1-0) ||

text: Silva

text: Jenks

text: (1) || 33,278 || 3-1|- style="background-color:#bbffbb"| 5 || April 8 || @

text: White Sox

text: || 3 – 1 ||

text: Santana

text: (2-0) ||

text: Danks

text: (0-1) ||

text: Nathan

text: (3) || 27,653 || 4-1|- style="background-color:#ffbbbb"| 6 || April 9 ||

text: Yankees

text: || 8 – 2 ||

text: Pavano

text: (1-0) ||

text: Ponson

text: (0-1) || || 26,047 || 4-2|- style="background-color:#ffbbbb"| 7 || April 10 ||

text: Yankees

text: || 10 – 1 ||

text: Pettitte

text: (1-0) ||

text: Bonser

text: (0-1) || || 24,552 || 4-3|- style="background-color:#bbffbb"| 8 || April 11 ||

text: Yankees

text: || 5 – 1 ||

text: Ortiz

text: (2-0) ||

text: Farnsworth

text: (0-1) || || 30,131 || 5-3|- style="background-color:#bbffbb"| 9 || April 12 ||

text: Devil Rays

text: || 3 – 2 ||

text: Nathan

text: (1-0) ||

text: Stokes

text: (0-2) || || 15,869 || 6-3|- style="background-color:#ffbbbb"| 10 || April 13 ||

text: Devil Rays

text: || 4 – 2 ||

text: Kazmir

text: (2-0) ||

text: Santana

text: (2-1) ||

text: Reyes

text: (3) || 27,783 || 6-4|- style="background-color:#bbffbb"| 11 || April 14 ||

text: Devil Rays

text: || 12 – 5 ||

text: Ponson

text: (1-1) ||

text: Jackson

text: (0-2) || || 35,269 || 7-4|- style="background-color:#ffbbbb"| 12 || April 15 ||

text: Devil Rays

text: || 6 – 4 ||

text: Stokes

text: (1-2) ||

text: Nathan

text: (1-1) ||

text: Reyes

text: (4) || 27,024 || 7-5|- style="background-color:#bbffbb"| 13 || April 17 || @

text: Mariners

text: || 11 – 2 ||

text: Ortiz

text: (3-0) ||

text: Weaver

text: (0-2) || || 19,015 || 8-5|- style="background-color:#bbffbb"| 14 || April 18 || @

text: Mariners

text: || 5 – 4 ||

text: Silva

text: (1-1) ||

text: Hernández

text: (2-1) ||

text: Nathan

text: (4) ||20,871 || 9-5|- style="background-color:#bbffbb"| 15 || April 19 || @

text: Mariners

text: || 6 – 5 ||

text: Santana

text: (3-1) ||

text: Washburn

text: (0-2) ||

text: Nathan

text: (5)|| 19,350 || 10-5|- style="background-color:#ffbbbb"| 16 || April 20 || @

text: Royals

text: || 11 – 7 ||

text: Pérez

text: (1-2) ||

text: Ponson

text: (1-2) ||

text: Riske

text: (2) || 31,813 || 10-6|- style="background-color:#bbffbb"| 17 || April 21 || @

text: Royals

text: || 7 – 5 ||

text: Neshek

text: (2-0) ||

text: Peralta

text: (0-2) ||

text: Nathan

text: (6) || 20,566|| 11-6|- style="background-color:#ffbbbb"| 18 || April 22 || @

text: Royals

text: || 3 – 1 ||

text: de la Rosa

text: (2-1) ||

text: Ortiz

text: (3-1) ||

text: Soria

text: (2) || 14,801 || 11-7|- style="background-color:#ffbbbb"| 19 || April 23 ||

text: Indians

text: || 7 – 3 (12) ||

text: Hernández

text: (2-1) ||

text: Crain

text: (0-1) || || 16,076 || 11-8|- style="background-color:#ffbbbb"| 20 || April 24 ||

text: Indians

text: || 5 – 3 ||

text: Carmona

text: (1-1) ||

text: Santana

text: (3-2) ||

text: Borowski

text: (8) || 20,849 || 11-9|- style="background-color:#ffbbbb"| 21 || April 25 ||

text: Royals

text: || 4 – 3 ||

text: Pérez

text: (2-2) ||

text: Ponson

text: (1-3) ||

text: Soria

text: (3) || 21,496 || 11-10|- style="background-color:#bbffbb"| 22 || April 26 ||

text: Royals

text: || 1 – 0 (11) ||

text: Rincón

text: Wellemeyer

text: (0-1) || ||18,520 || 12-10|- style="background-color:#bbffbb"| 23 || April 27 || @

text: Tigers

text: || 5 – 3 ||

text: Crain

text: Zumaya

text: Nathan

text: (7) || 31,147|| 13-10|- style="background-color:#bbffbb"| 24 || April 28 || @

text: Tigers

text: || 11 – 3 ||

text: Silva

text: (2-1) ||

text: Verlander

text: (1-1) || || 39,547 || 14-10|- style="background-color:#ffbbbb"| 25 || April 29 || @

text: Tigers

text: || 4 – 3 ||

text: Jones

text: (1-1) ||

text: Crain

text: (1-2) || ||36,483 || 14-11|- style="background-color:#bbffbb"| 26 || May 1 || @

text: Devil Rays

text: || 9 – 1 ||

text: Ponson

text: (2-3) ||

text: Jackson

text: (0-4)|| ||8,773 || 15-11|- style="background-color:#ffbbbb"| 27 || May 2 || @

text: Devil Rays

text: || 4 – 3 (10) ||

text: Reyes

text: (1-0) ||

text: Guerrier

text: (0-1) || || 9,101 || 15-12|- style="background-color:#ffbbbb"| 28 || May 3 || @

text: Devil Rays

text: || 6 – 4 ||

text: Shields

text: (3-0) ||

text: Ortiz

text: (3-2) ||

text: Reyes

text: (10) || 8,793 || 15-13|- style="background-color:#ffbbbb"| 29 || May 4 ||

text: Red Sox

text: || 2 – 0 ||

text: Wakefield

text: (3-3) ||

text: Silva

text: (2-2) ||

text: Papelbon

text: (9) || 34,951 || 15-14|- style="background-color:#bbffbb"| 30 || May 5 ||

text: Red Sox

text: || 2 – 1 ||

text: Santana

text: (4-2) ||

text: Tavárez

text: (1-3) ||

text: Nathan

text: (8) || 40,088 || 16-14|- style="background-color:#ffbbbb"| 31 || May 6 ||

text: Red Sox

text: || 4 – 3 ||

text: Schilling

text: (4-1) ||

text: Ponson

text: (2-4) ||

text: Papelbon

text: (10) || 27,807 || 16-15|- style="background-color:#bbffbb"| 32 || May 8 ||

text: White Sox

text: || 7 – 4 (10) ||

text: Rincón

text: (2-0) ||

text: Sisco

text: (0-1) || || 21,979 || 17-15|- style="background-color:#ffbbbb"| 33 || May 9 ||

text: White Sox

text: || 6 – 3 ||

text: Danks

text: (1-4) ||

text: Ortiz

text: (3-3) || || 24,367 || 17-16|- style="background-color:#ffbbbb"| 34 || May 10 ||

text: White Sox

text: || 3 – 0 ||

text: Contreras

text: (3-3) ||

text: Silva

text: (2-3) || || 23,663 || 17-17|- style="background-color:#ffbbbb"| 35 || May 11 ||

text: Tigers

text: || 7 – 3 ||

text: Maroth

text: (3-0) ||

text: Santana

text: (4-3) || || 31,458 || 17-18|- style="background-color:#ffbbbb"| 36 || May 12 ||

text: Tigers

text: || 8 – 2 ||

text: Durbin

text: (3-1) ||

text: Ponson

text: (2-5) || || 32,176 || 17-19|- style="background-color:#bbffbb"| 37 || May 13 ||

text: Tigers

text: || 16 – 4 ||

text: Bonser

text: (1-1) ||

text: Vasquez

text: (0-1)|| || 25,037 || 18-19|- style="background-color:#ffbbbb"| 38 || May 15 || @

text: Indians

text: ||15 – 7 ||

text: Byrd

text: (3-1) ||

text: Ortiz

text: (3-4) || || 23,325 || 18-20|- style="background-color:#ffbbbb"| 39 || May 16 || @

text: Indians

text: || 7 – 1 ||

text: Sabathia

text: (6-1) ||

text: Silva

text: (2-4) || || 17,678 || 18-21|- style="background-color:#ffbbbb"| 40 || May 17 || @

text: Indians

text: || 2 – 0 ||

text: Carmona

text: (5-1) ||

text: Santana

text: (4-4) || || 28,609 || 18-22|- style="background-color:#bbffbb"| 41 || May 18 || @

text: Brewers

text: || 8 – 1 ||

text: Bonser

text: (2-1) ||

text: Capuano

text: (5-2) || || 44,759 || 19-22|- style="background-color:#bbffbb"| 42 || May 19 || @

text: Brewers

text: || 5 – 2 ||

text: Baker

text: (1-0) ||

text: Bush

text: (3-4) || || 44,427 || 20-22|- style="background-color:#ffbbbb"| 43 || May 20 || @

text: Brewers

text: || 6 – 5 ||

text: Wise

text: (1-1) ||

text: Reyes

text: (0-1) ||

text: Cordero

text: (17) || 39,119 || 20-23|- style="background-color:#ffbbbb"| 44 || May 21 || @

text: Rangers

text: || 14 – 4 ||

text: Padilla

text: (2-6) ||

text: Silva

text: (2-5) || || 24,814 || 20-24|- style="background-color:#bbffbb"| 45 || May 22 || @

text: Rangers

text: || 7 – 1 ||

text: Santana

text: (5-4) ||

text: Loe

text: (1-4) || || 27,013 || 21-24|- style="background-color:#bbffbb"| 46 || May 23 || @

text: Rangers

text: || 5 – 3 ||

text: Bonser

text: (3-1) ||

text: Tejeda

text: (4-4) ||

text: Nathan

text: (9) || 24,370 || 22-24|- style="background-color:#bbffbb"| 47 || May 25 ||

text: Blue Jays

text: || 4 – 3 ||

text: Guerrier

text: Downs

text: Nathan

text: (10) || 26,781 || 23-24|- style="background-color:#ffbbbb"| 48 || May 26 ||

text: Blue Jays

text: || 9 – 8 (13) ||

text: Tallet

text: (1-1) ||

text: Guerrier

text: (1-2) || || 31,434 || 23-25|- style="background-color:#bbffbb"| 49 || May 27 ||

text: Blue Jays

text: || 4 – 2 ||

text: Silva

text: (3-5) ||

text: Burnett

text: (5-4) ||

text: Nathan

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text: Blue Jays

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text: Blue Jays

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text: ||colspan=5|Postponed (

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text: Royals

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text: Royals

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text: Royals

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text: Angels

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text: Angels

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text: Angels

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text: Mariners

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text: Mariners

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text: Mariners

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text: Orioles

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text: Orioles

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text: Orioles

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text: Indians

text: || 8 – 3 ||

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text: Indians

text: || 6 – 5 ||

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text: Indians

text: || 4 – 3 ||

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text: Royals

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text: Royals

text: || 5 – 0 ||

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text: Royals

text: || 6 – 4 ||

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text: Duckworth

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text: Royals

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text: || 5 – 0 ||

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text: || 7 – 5 (11) ||

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text: White Sox

text: || 11 – 10 (13) ||

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text: Rincón

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text: White Sox

text: || 8 – 7 ||

text: Myers

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text: White Sox

text: || 5 – 2 ||

text: Santana

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text: Nathan

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text: Royals

text: || 4 – 2 ||

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text: Nathan

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text: Royals

text: || 6 – 3 ||

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text: Royals

text: || 6 – 3 ||

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text: Silva

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text: Tigers

text: || 4 – 2 ||

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text: Garza

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text: Jones

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text: Tigers

text: || 4 – 3 ||

text: Zumaya

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text: Santana

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text: Jones

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text: Tigers

text: || 6 – 4 ||

text: Jurrjens

text: (3-1) ||

text: Baker

text: (9-8) ||

text: Jones

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text: Rangers

text: || 5 – 4 ||

text: Nathan

text: (4-2) ||

text: Benoit

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text: Rangers

text: || 4 – 2 ||

text: Silva

text: (12-14) ||

text: Millwood

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text: Nathan

text: (33) || 18,226 || 74-77|- style="background-color:#bbffbb"| 152 || September 19 ||

text: Rangers

text: || 4 – 2 ||

text: Garza

text: (4-6) ||

text: Padilla

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text: Nathan

text: (34) || 17,842 || 75-77|- style="background-color:#ffbbbb"| 153 || September 21 ||

text: White Sox

text: || 6 – 4 ||

text: Buehrle

text: (10-9) ||

text: Santana

text: (15-13) ||

text: Jenks

text: (39) || 27,928 || 75-78|- style="background-color:#ffbbbb"| 154 || September 22 ||

text: White Sox

text: || 8 – 3 ||

text: J. Vázquez

text: (14-8) ||

text: Baker

text: (9-9) || || 31,737 || 75-79|- style="background-color:#bbffbb"| 155 || September 23 ||

text: White Sox

text: || 7 – 1 ||

text: Slowey

text: (4-0) ||

text: Floyd

text: (1-5) || || 29,382 || 76-79|- style="background-color:#bbffbb"| 156 || September 24 || @

text: Tigers

text: || 2 – 0 ||

text: Silva

text: (13-14) ||

text: Robertson

text: (8-13) ||

text: Nathan

text: (35) || 32,716 || 77-79|- style="background-color:#ffbbbb"| 157 || September 25 || @

text: Tigers

text: || 8 – 0 ||

text: Bazardo

text: (2-1) ||

text: Garza

text: (4-7) || || 31,394 || 77-80|- style="background-color:#ffbbbb"| 158 || September 26 || @

text: Tigers

text: || 9 – 4 (6) ||

text: Byrdak

text: (3-0) ||

text: Blackburn

text: (0-1) || || 35,375 || 77-81|- style="background-color:#bbffbb"| 159 || September 27 || @

text: Red Sox

text: || 5 – 4 ||

text: Bonser

text: (8-12) ||

text: Beckett

text: (20-7) ||

text: Nathan

text: (36) || 36,743 || 78-81|- style="background-color:#ffbbbb"| 160 || September 28 || @

text: Red Sox

text: || 5 – 2 ||

text: Matsuzaka

text: (15-12) ||

text: Slowey

text: (4-1) ||

text: Papelbon

text: (37) || 36,843 || 78-82|- style="background-color:#ffbbbb"| 161 || September 29 || @

text: Red Sox

text: || 6 – 4 ||

text: Wakefield

text: (17-12) ||

text: Blackburn

text: (0-2) ||

text: Okajima

text: (5) || 36,619 || 78-83|- style="background-color:#bbffbb"| 162 || September 30 || @

text: Red Sox

text: || 3 – 2 ||

text: Garza

text: (5-7) ||

text: Tavárez

text: (7-11) ||

text: Nathan

text: (37) || 36,364 || 79-83

text: A color-measuring apparatus commonly used in experiments in the 1900s was used in conjunction with partially silvered mirrors to split one beam of light into two beams. This resulted in two beams of light parallel to one another having the same intensity and color.  The beams of light were projected onto a white background, creating patches of light that were  squares.  The white light was added to one of the patches of colored light, the patch on the right.  A rod was inserted in the path of the two beams so that there would be no space in between the colored surfaces.  An additional rod was used to create a shadow where the white light scattered onto the patch that was not to receive addition of white light (the patch on the left side).  The amount of white light added was determined as one half of the luminosity of the colored light.  The red light source, for example, had more white light added than the yellow light source.  He began using two patches of red light, and in fact, the addition of white light to the light patch on the right caused a more yellow tone than the pure red light source.  The same results happened when the experimental light source was orange.  When the light source was green, the addition of white light caused the appearance of the patch to become yellow-green.  Subsequently, when white light was added to yellow-green light, the patch of light appeared primarily yellow.  In a mixture of blue-green light (with a slightly higher percentage of blue) with white light, the blue appeared to take on a reddish hue.  In the case of a violet light source, the addition of white light caused the violet light to take on a blue tint.

text: In philosophy, there are several theories of color. Color realism holds that colors are physical properties that objects actually possess. Color fictionalism is an error theory that denies this.

text: In

text: philosophy

text: , there are several theories of

text: color

text: . Color realism holds that colors are

text: physical properties

text: that objects actually possess. Color fictionalism is an

text: error theory

text: that denies this.

text: The color hardener can be applied using one of two procedures; integral color or cast-on color. Integral color is the procedure where the entire volume of concrete is dyed the base color. The entire volume of concrete is colored by adding the color hardener to the concrete truck, and allowing all the concrete in the truck to be dyed. Cast-on color is the procedure where the surface of the concrete is dyed the base color. The surface of the concrete is colored by spreading the color hardener onto the surface of the wet concrete and floating the powder into the top layer of the wet concrete.

text:
The International Commission on Illumination (CIE) developed the XYZ model for describing the colors of light spectra in 1931, but its goal was to match human visual metamerism, rather than to be perceptually uniform, geometrically. In the 1960s and 70s, attempts were made to transform XYZ colors into a more relevant geometry, influenced by the Munsell system. These efforts culminated in the 1976 CIELUV and CIELAB models. The dimensions of these models— and , respectively—are cartesian, based on the opponent process theory of color, but both are also often described using polar coordinates— or  and also HCL, where L* is lightness, C* is chroma, and h* is hue angle. Officially, both CIELAB and CIELUV were created for their color difference metrics ∆E* and ∆E*, particularly for use defining color tolerances, but both have become widely used as color order systems and color appearance models, including in computer graphics and computer vision. For example, gamut mapping in ICC color management is usually performed in CIELAB space, and Adobe Photoshop includes a CIELAB mode for editing images. CIELAB and CIELUV geometries are much more perceptually relevant than many others such as RGB, HSL, HSV, YUV/YIQ/YCbCr or XYZ, but are not perceptually perfect, and in particular have trouble adapting to unusual lighting conditions.<ref>MacEvoy 2010. "Modern Color Models"
Adobe (January 2007). "The Lab Color Mode in Photoshop". Technical Note 310838.
Steven K. Shevell (2003) The Science of Color. 2nd ed. Elsevier Science & Technology. ISBN 0-444-51251-9. {{nobr|pp. 202–206}}

text: The

text: International Commission on Illumination

text: (CIE) developed the

text: XYZ model

text: for describing the colors of light spectra in 1931, but its goal was to match human visual

text: metamerism

text: , rather than to be perceptually uniform, geometrically. In the 1960s and 70s, attempts were made to transform XYZ colors into a more relevant geometry, influenced by the Munsell system. These efforts culminated in the 1976

text: CIELUV

text: and

text: CIELAB

text: models. The dimensions of these models— and , respectively—are cartesian, based on the

text: opponent process

text: theory of color, but both are also often described using polar coordinates— or  and also

text: HCL

text: , where L* is lightness, C* is chroma, and h* is hue angle. Officially, both CIELAB and CIELUV were created for their

text: color difference

text: metrics ∆E* and ∆E*, particularly for use defining color tolerances, but both have become widely used as color order systems and color appearance models, including in computer graphics and computer vision. For example,

text: gamut mapping

text: in

text: ICC

text: color management

text:
is usually performed in CIELAB space, and Adobe Photoshop includes a CIELAB mode for editing images. CIELAB and CIELUV geometries are much more perceptually relevant than many others such as RGB, HSL, HSV, YUV/YIQ/YCbCr or XYZ, but are not perceptually perfect, and in particular have trouble adapting to unusual lighting conditions.<ref>MacEvoy 2010. "Modern Color Models"
Adobe (January 2007). "The Lab Color Mode in Photoshop". Technical Note 310838.
Steven K. Shevell (2003) The Science of Color. 2nd ed. Elsevier Science & Technology. ISBN 0-444-51251-9. {{nobr|pp. 202–206}}

text: Perception of color depends heavily on the context in which the perceived object is presented. For example, a white page under blue, pink, or purple light will reflect mostly blue, pink, or purple light to the eye, respectively; the brain, however, compensates for the effect of lighting (based on the color shift of surrounding objects) and is more likely to interpret the page as white under all three conditions, a phenomenon known as color constancy.

text: Perception of color depends heavily on the context in which the perceived object is presented. For example, a white page under blue, pink, or purple light will reflect mostly blue, pink, or purple light to the eye, respectively; the brain, however, compensates for the effect of lighting (based on the color shift of surrounding objects) and is more likely to interpret the page as white under all three conditions, a phenomenon known as

text: color constancy

text: For the most part, computer vision algorithms used on color images are straightforward extensions to algorithms designed for grayscale images, for instance k-means or fuzzy clustering of pixel colors, or canny edge detection. At the simplest, each color component is separately passed through the same algorithm. It is important, therefore, that the features of interest can be distinguished in the color dimensions used. Because the R, G, and B components of an object’s color in a digital image are all correlated with the amount of light hitting the object, and therefore with each other, image descriptions in terms of those components make object discrimination difficult. Descriptions in terms of hue/lightness/chroma or hue/lightness/saturation are often more relevant.

text: For the most part, computer vision algorithms used on color images are straightforward extensions to algorithms designed for

text: grayscale

text: images, for instance

text: k-means

text: or

text: fuzzy

text: clustering

text: of pixel colors, or

text: canny

text: edge detection

text: . At the simplest, each color component is separately passed through the same algorithm. It is important, therefore, that the

text: features

text: of interest can be distinguished in the color dimensions used. Because the R, G, and B components of an object’s color in a digital image are all correlated with the amount of light hitting the object, and therefore with each other, image descriptions in terms of those components make object discrimination difficult. Descriptions in terms of hue/lightness/chroma or hue/lightness/saturation are often more relevant.

text: When observing objects in a scene, colors appears constant.An apple looks red regardless of where it is viewed.In bright direct sunshine, under a blue sky with the sun obscured,during a colorful sunset, under a canopy of green leaves,and even under most man-made light sources,the color of the apple remains unchanging.

text: The principles on which color photography is based were first proposed by Scottish physicist James Clerk Maxwell in 1855 and presented at the Royal Society in London in 1861.  By that time, it was known that light comprises a spectrum of different wavelengths that are perceived as different colors as they are absorbed and reflected by natural objects.  Maxwell discovered that all natural colors in this spectrum may be reproduced with additive combinations of three primary colors—red, green, and blue—which, when mixed equally, produce white light.

text: The principles on which

text: color photography

text: is based were first proposed by Scottish physicist

text: James Clerk Maxwell

text: in 1855 and presented at the

text: Royal Society

text: in London in 1861.  By that time, it was known that

text: light

text: comprises a spectrum of different wavelengths that are perceived as different colors as they are absorbed and reflected by natural objects.  Maxwell discovered that all natural colors in this spectrum may be reproduced with additive combinations of three

text: primary color

text: s—

text: red

text: green

text: , and

text: blue

text: —which, when mixed equally, produce white light.

text: Emulsions contain both a dispersed and a continuous phase, with the boundary between the phases called the "interface". Emulsions tend to have a cloudy appearance because the many phase interfaces scatter light as it passes through the emulsion. Emulsions appear white when all light is scattered equally. If the emulsion is dilute enough, higher-frequency and low-wavelength light will be scattered more, and the emulsion will appear bluer – this is called the "Tyndall effect". If the emulsion is concentrated enough, the color will be distorted toward comparatively longer wavelengths, and will appear more yellow. This phenomenon is easily observable when comparing skimmed milk, which contains little fat, to cream, which contains a much higher concentration of milk fat. One example would be a mixture of water and oil.

text: Emulsions contain both a dispersed and a continuous phase, with the boundary between the phases called the "interface". Emulsions tend to have a cloudy appearance because the many

text: phase interfaces

text: scatter

text: light as it passes through the emulsion. Emulsions appear

text: white

text: when all light is scattered equally. If the emulsion is dilute enough, higher-frequency and low-wavelength light will be scattered more, and the emulsion will appear

text: blue

text: r – this is called the "

text: Tyndall effect

text: ". If the emulsion is concentrated enough, the color will be distorted toward comparatively longer wavelengths, and will appear more

text: yellow

text: . This phenomenon is easily observable when comparing

text: skimmed milk

text: , which contains little fat, to

text: cream

text: , which contains a much higher concentration of milk fat. One example would be a mixture of water and oil.

text: Because the carbon printing process uses pigments instead of dyes, it is capable of producing a far more archivally stable (permanent) print than any of the other color processes. Good examples of the color stability of pigments can be found in the paintings of the great masters, the true colors of which, in many cases, have survived all these centuries. A more contemporary example of the color stability of pigments is found in the paints used on automobiles today, which must survive intense daily exposure to very harsh lighting, under extreme conditions. The useful life of many (but not all) pigment formulations has been projected out to be several centuries and beyond (perhaps millennia, if cave paintings of Lascaux, the wall paintings in the tombs of the Valley of the Kings and the frescoes of Pompeii are relevant examples), often being limited only to the useful life of the particular support used. Additionally, the use of pigment also produces a wider color gamut than any of the other color processes, allowing for a greater range and subtlety of color reproduction.

text: Because the carbon printing process uses

text: pigments

text: instead of

text: dyes

text: , it is capable of producing a far more archivally stable (permanent) print than any of the other color processes. Good examples of the color stability of pigments can be found in the paintings of the great masters, the true colors of which, in many cases, have survived all these centuries. A more contemporary example of the color stability of pigments is found in the paints used on automobiles today, which must survive intense daily exposure to very harsh lighting, under extreme conditions. The useful life of many (but not all) pigment formulations has been projected out to be several centuries and beyond (perhaps millennia, if cave paintings of

text: Lascaux

text: , the wall paintings in the tombs of the

text: Valley of the Kings

text: and the frescoes of

text: Pompeii

text: are relevant examples), often being limited only to the useful life of the particular support used. Additionally, the use of pigment also produces a wider color

text: gamut

text: than any of the other color processes, allowing for a greater range and subtlety of color reproduction.

text: Normal (nonmetallic) objects reflect light and colors in the original color of the object being reflected.Metallic objects reflect lights and colors altered by the color of the metallic object itself.

text: This color matches the color of the Persian rose color sample in A Dictionary of Color—a highly saturated color close to the outer surface of the color sphere, just below the equator of the color sphere, about halfway between rose and magenta.  The color Persian rose may also be described as a color close to the purple boundary of the CIE chromaticity diagram about halfway between rose and magenta.

text: This color matches the color of the Persian rose color sample in A Dictionary of Color—a highly saturated color close to the outer surface of the

text: color sphere

text: , just below the equator of the color sphere, about halfway between rose and magenta.  The color Persian rose may also be described as a color close to the purple boundary of the

text: CIE chromaticity diagram

text: about halfway between rose and magenta.

text: Research shows that animals sensitive to more than three color channels are likely to see the world in a very different way from humans. These animals are likely to experience different and more numerous unique hues, along with additional ways of mixing them.

text: Research shows that animals sensitive to more than three color channels are likely to see the world in a very different way from humans. These animals are likely to experience different and more numerous

text: unique hues

text: , along with additional ways of mixing them.

text: An "object-box" (or cell) on the ends of the reflectors can hold selected objects to be viewed in the reflected pattern. Colorful transparent shapes (for instance pieces of glass or colored fluids moving in transparent containers) to create beautiful patterns. Objects smaller than the aperture create a spotted appearance of the pattern. Larger opaque objects and darker colors don't transmit much light and are usually avoided. If objects, fragments and/or liquids are loosely placed inside the cell and tumble when the cell is rotated, motion and change of colors and shapes can be introduced into the viewed pattern.

text: This method uses a similar principle to how a prism works to separate white light into its component colors. A gemological spectroscope is employed to analyze the selective absorption of light in the gem material. Essentially, when light passes from one medium to another, it bends. Blue light bends more than red light. How much the light bends will vary depending on the gem material. Coloring agents or chromophores show bands in the spectroscope and indicate which element is responsible for the gem's color.

text: This method uses a similar principle to how a

text: prism

text: works to separate white light into its component colors. A gemological

text: spectroscope

text: is employed to analyze the selective absorption of light in the gem material. Essentially, when light passes from one medium to another, it bends. Blue light bends more than red light. How much the light bends will vary depending on the gem material. Coloring agents or chromophores show bands in the spectroscope and indicate which element is responsible for the gem's color.

text: A set of primary colors is a small, arbitrary set of pigmented physical media, lights or purely abstract elements of a mathematical colorspace model.  Distinct colors from a larger gamut can be specified in terms of a mixture of primary colors which facilitates technological applications such as painting, electronic displays and printing.  Any small set of pigments or lights are "imperfect" physical primary colors in that they cannot be mixed to yield all possible colors that can be perceived by the human color vision system. The abstract (or "imaginary") primaries X, Y and Z of the CIEXYZ colorspace can be mathematically summed to specify essentially all colors that can be perceived but these primaries cannot be physically realized due to the underlying structure and overlapping spectral sensitivities of each of the human cone photoreceptors.  The precise set of primary colors that are used in a specific color application depend on gamut requirements as well as application-specific constraints such as cost, power consumption, lightfastness, mixing behavior etc.

text: A set of primary colors is a small, arbitrary set of

text: pigment

text: ed physical media, lights or purely abstract elements of a mathematical

text: colorspace

text: model.  Distinct colors from a larger

text: gamut

text: can be specified in terms of a mixture of primary colors which facilitates technological applications such as painting, electronic displays and printing.  Any small set of pigments or lights are "imperfect" physical primary colors in that they cannot be mixed to yield all possible colors that can be perceived by the human

text: color vision

text: system. The abstract (or "imaginary") primaries X, Y and Z of the

text: CIEXYZ

text: colorspace can be mathematically summed to specify essentially all colors that can be perceived but these primaries cannot be physically realized due to the underlying structure and overlapping

text: spectral sensitivities

text: of each of the human cone photoreceptors.  The precise set of primary colors that are used in a specific color application depend on gamut requirements as well as application-specific constraints such as cost, power consumption, lightfastness, mixing behavior etc.

text: The finest quality as per color grading is totally colorless, which is graded as "D" color diamond across the globe, meaning it is absolutely free from any color. The next grade has a very slight trace of color, which can be observed by any expert diamond valuer/grading laboratory. However, when studded in jewellery these very light colored diamonds do not show any color or it is not possible to make out color shades. These are graded as E color or F color diamonds.

text: In full-color chromogenic materials, multiple layers of emulsion are sensitized to different wavelengths of light. Three layers are usually present, generally sensitive to red, green, and blue colored light. Cyan-colored dye is formed on the red-sensitive layer, magenta-colored dye is formed on the green-sensitive layer, and yellow-colored dye is formed on the blue-sensitive layer, following generally the CMY color model.

text: In full-color chromogenic materials, multiple layers of emulsion are sensitized to different wavelengths of

text: light

text: . Three layers are usually present, generally sensitive to red, green, and blue colored light. Cyan-colored dye is formed on the red-sensitive layer, magenta-colored dye is formed on the green-sensitive layer, and yellow-colored dye is formed on the blue-sensitive layer, following generally the

text: CMY

text: color model.

text: The diarylide yellows are the most common yellow pigments used in printing as well as a wide variety of other applications.  Due to their stability, diarylide yellows are used in inks, coatings, and many plastics.  The pigment is insoluble. It is a standard pigment used in printing ink and packaging industry.  The diarylide yellow pigment Yellow 12 is one of the three main colored pigments used in the four color process of color printing.  As such, its use is ubiquitous in printing both in commercial applications and in home color printers, as well as in textile printing.

text: The diarylide yellows are the most common yellow pigments used in printing as well as a wide variety of other applications.  Due to their stability, diarylide yellows are used in

text: ink

text: s, coatings, and many

text: plastic

text: s.  The pigment is insoluble. It is a standard pigment used in printing ink and packaging industry.  The diarylide yellow pigment Yellow 12 is one of the three main colored pigments used in the four color process of

text: color printing

text: .  As such, its use is ubiquitous in printing both in commercial applications and in home color printers, as well as in

text: textile printing

text: Reviewing Green Oculus a drawing and lens installation by Goodell, Donald Goddard wrote, "the lenses see the way we see - randomly, inattentively sporadically, imperfectly - focused and unfocused - voraciously. Most particularly they, and we, see the drawings, which represent what is written, the beginnings of life, as an act of the artist." ArtInfo reviewed Mesmer Eyes and wrote that "as the lenses rotated around eye-height, they distorted the view of the painting into an ever-changing array of abstractions. These visions were also captured in photographs taken by the artist of the installation. The work played with the mutability of perception and the literal forms of the biological tools we use to see." In 2014, Hyperallergic wrote about Mesmer that "Goodell’s works are  strokes and takes on Rothko’s twin but separated chapels in Texas and at the Tate. Like Rothko’s masterworks, Goodell’s little jewels trigger degrees of color perception and color separation that no single drawing is likely to reveal. (And unlike Rothko’s work, Goodell’s pieces aren’t melancholy and anxious!)"

text: Reviewing Green Oculus a drawing and lens installation by Goodell, Donald Goddard wrote, "the lenses see the way we see - randomly, inattentively sporadically, imperfectly - focused and unfocused - voraciously. Most particularly they, and we, see the drawings, which represent what is written, the beginnings of life, as an act of the artist." ArtInfo reviewed Mesmer Eyes and wrote that "as the lenses rotated around eye-height, they distorted the view of the painting into an ever-changing array of abstractions. These visions were also captured in photographs taken by the artist of the installation. The work played with the mutability of perception and the literal forms of the biological tools we use to see." In 2014,

text: Hyperallergic

text: wrote about Mesmer that "Goodell’s works are  strokes and takes on

text: Rothko’s

text: twin but separated chapels in Texas and at the Tate. Like Rothko’s masterworks, Goodell’s little jewels trigger degrees of color perception and color separation that no single drawing is likely to reveal. (And unlike Rothko’s work, Goodell’s pieces aren’t melancholy and anxious!)"

text: The color defined as yellow in the Munsell color system (Munsell 5Y) is shown at right.  The Munsell color system is a color space that specifies colors based on three color dimensions: hue, value (lightness), and chroma (color purity), spaced uniformly in three dimensions in the elongated oval at an angle shaped Munsell color solid according to the logarithmic scale which governs human perception.  In order for all the colors to be spaced uniformly, it was found necessary to use a color wheel with five primary colors—red, yellow, green, blue, and purple.

text: The color defined as yellow in the

text: Munsell color system

text: (Munsell 5Y) is shown at right.  The Munsell color system is a

text: color space

text: that specifies

text: color

text: s based on three color dimensions:

text: hue

text: , value (

text: lightness

text: ), and

text: chroma

text: color solid

text: according to the

text: logarithmic scale

text: which governs

text: human perception

text: .  In order for all the colors to be spaced uniformly, it was found necessary to use a color wheel with five primary colors—red, yellow, green, blue, and purple.

text: Most light sources emit light at many different wavelengths; a source's spectrum is a distribution giving its intensity at each wavelength. Although the spectrum of light arriving at the eye from a given direction determines the color sensation in that direction, there are many more possible spectral combinations than color sensations. In fact, one may formally define a color as a class of spectra that give rise to the same color sensation, although such classes would vary widely among different species, and to a lesser extent among individuals within the same species. In each such class the members are called metamers of the color in question.

text: Most light sources emit light at many different wavelengths; a source's spectrum is a distribution giving its intensity at each wavelength. Although the spectrum of light arriving at the eye from a given direction determines the color

text: sensation

text: in that direction, there are many more possible spectral combinations than color sensations. In fact, one may formally define a color as a class of spectra that give rise to the same color sensation, although such classes would vary widely among different species, and to a lesser extent among individuals within the same species. In each such class the members are called

text: metamers

text: of the color in question.

text: The core X Window System drawing protocol does not have a way to efficiently draw transparent objects: A computer display is composed of individual pixels, which can only show a single color at a time. Thus transparency can only be achieved by mixing the colors of the transparent object to be drawn with the background color (alpha compositing). However, the standard X protocol only allows drawing with solid color, so the only way to achieve transparency is to fetch the background color from the screen, mix it with the object color, then write it back, which is fairly inefficient.

text: The core

text: X Window System

text: drawing protocol does not have a way to efficiently draw transparent objects: A computer display is composed of individual

text: pixel

text: s, which can only show a single color at a time. Thus transparency can only be achieved by mixing the colors of the transparent object to be drawn with the background color (

text: alpha compositing

text: ). However, the standard X protocol only allows drawing with solid color, so the only way to achieve transparency is to fetch the background color from the screen, mix it with the object color, then write it back, which is fairly inefficient.

text: Artists' pigments and colored pencils labeled as purple are typically colored the red-violet color shown at right.  On an RYB color wheel, red-violet is the color between red and violet.

text: Artists' pigments and colored pencils labeled as purple are typically colored the red-violet color shown at right.  On an

text: RYB color wheel

text: , red-violet is the color between red and violet.

text: Sophisticated color cameras with high color resolution are capable of detecting millions of colors to better distinguish more subtle color defects. Trichromatic color cameras (also called three-channel cameras) divide light into three bands, which can include red, green and/or blue within the visible spectrum as well as IR and UV.

text: Sophisticated color cameras with high color resolution are capable of detecting millions of colors to better distinguish more subtle color defects.

text: Trichromatic

text: color cameras (also called three-channel cameras) divide light into three bands, which can include red, green and/or blue within the visible spectrum as well as IR and UV.

text: The colors available from both the basic types of white light LED is adjustable to a certain extent, with color temperatures in the range of 2,200 K (matching incandescent lamps) up to 7,000 K are widely available.  Higher CRI values can be obtained using more than three LED colors to cover a greater range of wavelengths.  Tunable lighting systems employ banks of colored LEDs that can be individually controlled, either using separate banks of each color, or multi-chip LEDs with the colors combined and controlled at the chip level.

text: The colors available from both the basic types of white light LED is adjustable to a certain extent, with

text: color temperature

text: s in the range of 2,200 K (matching incandescent lamps) up to 7,000 K are widely available.  Higher CRI values can be obtained using more than three LED colors to cover a greater range of wavelengths.  Tunable lighting systems employ banks of colored LEDs that can be individually controlled, either using separate banks of each color, or multi-chip LEDs with the colors combined and controlled at the chip level.

text: As an illustrative model, artists typically use red, yellow, and blue primaries (RYB color model) arranged at three equally spaced points around their color wheel. Printers and others who use modern subtractive color methods and terminology use magenta, yellow, and cyan as subtractive primaries. Intermediate and interior points of color wheels and circles represent color mixtures.  In a paint or subtractive color wheel, the "center of gravity" is usually (but not always) black, representing all colors of light being absorbed; in a color circle, on the other hand, the center is white or gray, indicating a mixture of different wavelengths of light (all wavelengths, or two complementary colors, for example).

text: As an illustrative model, artists typically use

text: red

text: yellow

text: , and

text: blue

text: primaries (

text: RYB color model

text: ) arranged at three equally spaced points around their color wheel. Printers and others who use modern subtractive color methods and terminology use

text: magenta

text: , yellow, and

text: cyan

text: as

text: subtractive primaries

text: . Intermediate and interior points of color wheels and circles represent color mixtures.  In a paint or subtractive color wheel, the "center of gravity" is usually (but not always) black, representing all colors of light being absorbed; in a color circle, on the other hand, the center is white or gray, indicating a mixture of different wavelengths of light (all wavelengths, or two complementary colors, for example).

text: |- style="background-color:#ffbbbb"| 1 || April 3 || Yankees || 2-15 || Johnson (1-0) || Zito (0-1) || – || 35,077 || 0-1|- style="background-color:#bbffbb"| 2 || April 4 || Yankees || 4-3 || Street (1-0) || Proctor (0-1) || – || 31,284 || 1-1|- style="background-color:#bbffbb"| 3 || April 5 || Yankees || 9-4 || Kennedy (1-0) || Wright (0-1) || – || 30,165 || 2-1|- style="background-color:#ffbbbb"| 4 || April 6 || @ Mariners || 2-6 || Meche (1-0) || Loaiza (0-1) || Putz (1) || 22,701 || 2-2|- style="background-color:#bbffbb"| 5 || April 7 || @ Mariners || 5-0 || Blanton (1-0) || Hernández (0-1) || – || 30,612 || 3-2|- style="background-color:#bbffbb"| 6 || April 8 || @ Mariners || 3-0 || Zito (1-1) || Moyer (0-1) || Street (1) || 37,904 || 4-2|- style="background-color:#bbffbb"| 7 || April 9 || @ Mariners || 6-4 || Harden (1-0) || Piñeiro (1-1) || Street (2) || 27,139 || 5-2|- style="background-color:#ffbbbb"| 8 || April 11 || @ Twins || 6-7 || Radke (2-0) || Haren (0-1) || Nathan (1) || 48,911 || 5-3|- style="background-color:#ffbbbb"| 9 || April 12 || @ Twins || 5-6 || Silva (1-1) || Loaiza (0-2) || Nathan (2) || 22,603 || 5-4|- style="background-color:#ffbbbb"| 10 || April 13 || @ Twins || 2-8 || Lohse (1-1) || Blanton (1-1) || – || 13,520 || 5-5|- style="background-color:#ffbbbb"| 11 || April 14 || Rangers || 3-6 || Millwood (1-2) || Zito (1-2) || – || 14,049 || 5-6|- style="background-color:#bbffbb"| 12 || April 15 || Rangers || 5-4 || Harden (2-0) || Padilla (2-1) || Street (3) || 16,186 || 6-6|- style="background-color:#ffbbbb"| 13 || April 16 || Rangers || 3-5 || Cordero (1-1) || Street (1-1) || – || 21,256 || 6-7|- style="background-color:#bbffbb"| 14 || April 18 || Tigers || 4-3 || Duchscherer (1-0) || Verlander (1-2) || Street (4) || 16,857 || 7-7|- style="background-color:#ffbbbb"| 15 || April 19 || Tigers || 4-11 || Rogers (3-1) || Blanton (1-2) || – || 18,309 || 7-8|- style="background-color:#ffbbbb"| 16 || April 20 || Tigers || 3-4 || Rodney (1-0) || Duchscherer (1-1) || – || 15,489 || 7-9|- style="background-color:#bbffbb"| 17 || April 21 || Angels || 5-3 || Harden (3-0) || Romero (1-2) || Calero (1) || 19,874 || 8-9|- style="background-color:#ffbbbb"| 18 || April 22 || Angels || 4-5 || Weaver (1-2) || Haren (0-2) || F. Rodríguez (6) || 22,670 || 8-10|- style="background-color:#ffbbbb"| 19 || April 23 || Angels || 3-4 || Escobar (3-1) || Loaiza (0-3) || F. Rodríguez (7) || 27,104 || 8-11|- style="background-color:#bbffbb"| 20 || April 24 || @ Rangers || 3-2 || Blanton (2-2) || Wilson (1-1) || Duchscherer (1) || 23,802 || 9-11|- style="background-color:#ffbbbb"| 21 || April 25 || @ Rangers || 5-6 || Cordero (3-2) || Gaudin (0-1) || – || 25,492 || 9-12|- style="background-color:#bbffbb"| 22 || April 26 || @ Rangers || 6-4 (10) || Duchscherer (2-1) || Wilson (1-2) || Kennedy (1) || 23,756 || 10-12|- style="background-color:#bbffbb"| 23 || April 28 || @ Royals || 5-3 || Haren (1-2) || Mays (0-3) || Saarloos (1) || 12,203 || 11-12|- style="background-color:#bbbbbb"| --- || April 29|| @ Royals || colspan=5|Postponed (rain) Rescheduled for August 18 || 11-12|- style="background-color:#bbffbb"| 24 || April 30 || @ Royals || 13-6 || Blanton (3-2) || Hudson (0-3) || – || 15,224 || 12-12|- style="background-color:#bbffbb"| 25 || May 1 || @ Angels || 1-0 || Zito (2-2) || Carrasco (0-2)|| Duchscherer (2) || 41,721 || 13-12|- style="background-color:#bbffbb"| 26 || May 2 || @ Angels || 10-3 || Halsey (1-0) || Lackey (3-2)|| – || 35,943 || 14-12|- style="background-color:#ffbbbb"| 27 || May 3 || Indians || 3-14 || Byrd (4-2) || Haren (1-3) || – || 18,248 || 14-13|- style="background-color:#bbffbb"| 28 || May 4 || Indians || 12-4 || Saarloos (1-0) || Johnson (2-2) || Gaudin (1) || 14,695 || 15-13|- style="background-color:#ffbbbb"| 29 || May 5 || Devil Rays || 1-3 || Kazmir (4-2) || Blanton (3-3) || Walker (2) || 12,552 || 15-14|- style="background-color:#bbffbb"| 30 || May 6 || Devil Rays || 3-2 || Kennedy (2-0) || Orvella (1-3) || – || 25,080 || 16-14|- style="background-color:#ffbbbb"| 31 || May 7 || Devil Rays || 2-3 || Hendrickson (2-2) || Halsey (1-1) || Walker (3) || 22,837 || 16-15|- style="background-color:#bbffbb"| 32 || May 9 || @ Blue Jays || 6-5 || Haren (2-3) || Towers (0-7) || Street (5) || 36,269 || 17-15|- style="background-color:#ffbbbb"| 33 || May 10 || @ Blue Jays || 7-9 || Rosario (1-0) || Blanton (3-4) || Ryan (8) || 19,269 || 17-16|- style="background-color:#ffbbbb"| 34 || May 11 || @ Blue Jays || 3-8 || Lilly (4-2) || Saarloos (1-1) || – || 23,974 || 17-17|- style="background-color:#ffbbbb"| 35 || May 12 || @ Yankees || 0-2 || Wang (3-1) || Zito (2-3) || Rivera (7) || 47,497 || 17-18|- style="background-color:#ffbbbb"| 36 || May 13 || @ Yankees || 3-4 || Wright (1-2) || Halsey (1-2) || Farnsworth (1) || 53,907 || 17-19|- style="background-color:#bbffbb"| 37 || May 14 || @ Yankees || 6-1 || Haren (3-3) || Johnson (5-4) || – || 52,587 || 18-19|- style="background-color:#bbffbb"| 38 || May 16 || Mariners || 12-6 || Blanton (4-4) || Hernández (3-5) || – || 16,397 || 19-19|- style="background-color:#bbffbb"| 39 || May 17 || Mariners || 7-2 || Zito (3-3) || Moyer (1-4) || – || 19,208 || 20-19|- style="background-color:#bbffbb"| 40 || May 18 || Mariners || 6-3 || Saarloos (2-1) || Piñeiro (4-4) || Street (6) || 18,136 || 21-19|- style="background-color:#bbffbb"| 41 || May 19 || Giants || 1-0 || Haren (4-3) || Lowry (1-1) || Street (7) || 35,077 || 22-19|- style="background-color:#ffbbbb"| 42 || May 20 || Giants || 2-4 (10) || Benítez (3-0) || Calero (0-1) || – || 35,077 || 22-20|- style="background-color:#ffbbbb"| 43 || May 21 || Giants || 0-6 || Cain (2-5) || Blanton (4-5) || – || 35,077 || 22-21|- style="background-color:#ffbbbb"| 44 || May 22 || @ White Sox || 4-5 (10) || Jenks (2-1) || Flores (0-1) || – || 39,354 || 22-22|- style="background-color:#ffbbbb"| 45 || May 23 || @ White Sox || 3-9 || Vázquez (5-3) || Saarloos (2-2) || – || 38,860 || 22-23|- style="background-color:#ffbbbb"| 46 || May 24 || @ White Sox || 2-3 || Buehrle (6-2) || Haren (4-4) || Jenks (13) || 38,434 || 22-24|- style="background-color:#ffbbbb"| 47 || May 25 || @ Rangers || 7-8 || Otsuka (1-1) || Street (1-2) || – || 22,006 || 22-25|- style="background-color:#ffbbbb"| 48 || May 26 || @ Rangers || 3-5 || Cordero (4-3) || Gaudin (0-2) || Otsuka (7) || 27,791 || 22-26|- style="background-color:#bbffbb"| 49 || May 27 || @ Rangers || 6-3 || Zito (4-3) || Loe (3-5) || Street (8) || 41,226 || 23-26|- style="background-color:#ffbbbb"| 50 || May 28 || @ Rangers || 3-4 || Padilla (5-3) || Saarloos (2-3) || Otsuka (8) || 38,905 || 23-27|- style="background-color:#ffbbbb"| 51 || May 29 || Royals || 4-6 || Etherton (1-0) || Haren (4-5) || Burgos (6) || 28,040 || 23-28|- style="background-color:#ffbbbb"| 52 || May 30 || Royals || 7-8 (10) || Dessens (3-5) || Roney (0-1) || Burgos (7) || 12,516 || 23-29|- style="background-color:#bbffbb"| 53 || May 31 || Royals || 7-0 || Blanton (5-5) || Elarton (1-6) || – || 25,181 || 24-29|- style="background-color:#bbffbb"| 54 || June 1 || Twins || 4-0 || Zito (5-3) || Bonser (1-1) || – || 12,025 || 25-29|- style="background-color:#ffbbbb"| 55 || June 2 || Twins || 1-2 || Santana (5-4) || Saarloos (2-4) || Nathan (7) || 16,138 || 25-30|- style="background-color:#bbffbb"| 56 || June 3 || Twins || 2-1 || Halsey (2-2) || Radke (4-7) || Street (9) || 23,194 || 26-30|- style="background-color:#bbffbb"| 57 || June 4 || Twins || 5-1 || Halsey (3-2) || Silva (2-7) || – || 25,247 || 27-30|- style="background-color:#bbffbb"| 58 || June 6 || @ Indians || 7-6 || Zito (6-3) || Betancourt (0-1) || Street (10) || 17,340 || 28-30|- style="background-color:#ffbbbb"| 59 || June 7 || @ Indians || 2-11 || Byrd (5-4) || Blanton (5-6) || – || 20,311 || 28-31|- style="background-color:#bbffbb"| 60 || June 8 || @ Indians || 4-1 || Loaiza (1-3) || Johnson (3-6) || Street (11) || 21,099 || 29-31|- style="background-color:#bbffbb"| 61 || June 9 || @ Yankees || 6-5 || Haren (5-5) || Johnson (7-5) || Street (12) || 53,837 || 30-31|- style="background-color:#bbffbb"| 62 || June 10 || @ Yankees || 5-2 || Saarloos (3-4) || Mussina (8-2) || Street (13) || 53,779 || 31-31|- style="background-color:#bbffbb"| 63 || June 11 || @ Yankees || 6-5 || Zito (7-3) || Kyle Farnsworth (2-4) || Street (14) || 54,570 || 32-31|- style="background-color:#bbffbb"| 64 || June 13 || Mariners || 2-0 || Blanton (6-6) || Moyer (3-6) || Street (15) || 15,216 || 33-31|- style="background-color:#bbffbb"| 65 || June 14 || Mariners || 7-2 || Haren (6-5) || Piñeiro (5-7) || – || 20,550 || 34-31|- style="background-color:#bbffbb"| 66 || June 15 || Mariners || 9-6 || Loaiza (2-3) || Washburn (4-8) || Street (16) || 16,563 || 35-31|- style="background-color:#bbffbb"| 67 || June 16 || Dodgers || 7-3 || Zito (8-3) || Tomko (5-6) || – || 30,161 || 36-31|- style="background-color:#bbffbb"| 68 || June 17 || Dodgers || 5-4 (17) || Karsay (1-0) || Seo (2-4) || – || 35,077 || 37-31|- style="background-color:#bbffbb"| 69 || June 18 || Dodgers || 5-2 || Blanton (7-6) || Sele (3-2) || Street (17) || 35,077 || 38-31|- style="background-color:#ffbbbb"| 70 || June 19 || @ Rockies || 0-7 || Kim (4-4) || Haren (6-6) || – || 21,964 || 38-32|- style="background-color:#ffbbbb"| 71 || June 20 || @ Rockies || 0-6 || Jennings (6-6) || Loaiza (2-4) || – || 21,753 || 38-33|- style="background-color:#bbffbb"| 72 || June 21 || @ Rockies || 3-2 (11) || Calero (1-1) || King (1-3) || – || 26,489 || 39-33|- style="background-color:#bbffbb"| 73 || June 23 || @ Giants || 4-3 || Calero (2-1) || Benítez (4-1) || Street (18) || 42,948 || 40-33|- style="background-color:#ffbbbb"| 74 || June 24 || @ Giants || 7-8 || Worrell (3-2) || Street (1-3) || – || 42,866 || 40-34|- style="background-color:#bbffbb"| 75 || June 25 || @ Giants || 10-4 || Loaiza (3-4) || Cain (6-6) || – || 42,414 || 41-34|- style="background-color:#ffbbbb"| 76 || June 27 || @ Padres || 0-3 || Young (7-3) || Zito (8-4) || Hoffman (19) || 34,102 || 41-35|- style="background-color:#ffbbbb"| 77 || June 28 || @ Padres || 1-8 || Hensley (5-6) || Blanton (7-7) || – || 39,874 || 41-36|- style="background-color:#bbffbb"| 78 || June 29 || @ Padres || 6-5 (14) || Flores (1-1) || Cassidy (4-4) || Gaudin (2) || 30,301 || 42-36|- style="background-color:#ffbbbb"| 79 || June 30 || Diamondbacks || 4-6 || Vargas (7-4) || Halsey (3-3) || Julio (7) || 16,756 || 42-37|- style="background-color:#ffbbbb"| 80 || July 1 || Diamondbacks || 2-7 || Batista (8-5) || Loaiza (3-5) || – || 19,024 || 42-38|- style="background-color:#ffbbbb"| 81 || July 2 || Diamondbacks || 1-3 || Webb (9-3) || Zito (8-5) || – || 19,130 || 42-39|- style="background-color:#bbffbb"| 82 || July 3 || Tigers || 5-3 || Blanton (8-7) || Robertson (8-4) || Street (19) || 35,077 || 43-39|- style="background-color:#bbffbb"| 83 || July 4 || Tigers || 2-1 (10) || Gaudin (1-2) || Rodney (4-3) || – || 21,096 || 44-39|- style="background-color:#ffbbbb"| 84 || July 5 || Tigers || 4-10 || Rogers (11-3) || Saarloos (3-5) || Colón (1) || 22,210 || 44-40|- style="background-color:#bbffbb"| 85 || July 6 || Angels || 7-5 || Street (2-3) || Shields (4-6) || – || 14,673 || 45-40|- style="background-color:#ffbbbb"| 86 || July 7 || Angels || 0-3 || Lackey (7-5) || Zito (8-6) || – || 20,711 || 45-41|- style="background-color:#ffbbbb"| 87 || July 8 || Angels || 4-6 || Weaver (6-0) || Blanton (8-8) || F. Rodríguez (20) || 25,289 || 45-42|- style="background-color:#ffbbbb"| 88 || July 9 || Angels || 2-4 || Santana (10-3) || Haren (6-7) || F. Rodríguez (21) || 26,603 || 45-43|- style="background-color:#bbffbb"| 89 || July 13 || @ Red Sox || 5-4 (11) || Street (3-3) || Tavárez (1-3) || Saarloos (2) || 36,141 || 46-43|- style="background-color:#bbffbb"| 90 || July 14 || @ Red Sox || 15-3 || Zito (9-6) || Beckett (11-5) || – || 36,319 || 47-43|- style="background-color:#ffbbbb"| 91 || July 15 || @ Red Sox || 0-7 || Schilling (11-3) || Haren (6-8) || – || 36,232 || 47-44|- style="background-color:#bbffbb"| 92 || July 16 || @ Red Sox || 8-1 || Blanton (9-8) || Snyder (1-1) || – || 35,643 || 48-44|- style="background-color:#ffbbbb"| 93 || July 17 || @ Orioles || 3-5 || Birkins (5-1) || Saarloos (3-6) || Ray (23) || 19,652 || 48-45|- style="background-color:#bbffbb"| 94 || July 18 || @ Orioles || 5-4 || Loaiza (4-5) || E. Rodríguez (0-1) || Street (20) || 20,827 || 49-45|- style="background-color:#bbffbb"| 95 || July 19 || @ Orioles || 5-1 || Zito (10-6) || Benson (9-9) || – || 29,407 || 50-45|- style="background-color:#ffbbbb"| 96 || July 21 || @ Tigers || 4-7 || Verlander (12-4) || Haren (6-9) || – || 40,687 || 50-46|- style="background-color:#bbffbb"| 97 || July 22 || @ Tigers || 9-5 || Blanton (10-8) || Ledezma (1-1) || – || 38,923 || 51-46|- style="background-color:#ffbbbb"| 98 || July 23 || @ Tigers || 4-8 || Robertson (9-6) || Loaiza (4-6) || – || 40,355 || 51-47|- style="background-color:#ffbbbb"| 99 || July 24 || Red Sox || 3-7 || Beckett (13-5) || Zito (10-7) || – || 33,370 || 51-48|- style="background-color:#ffbbbb"| 100 || July 25 || Red Sox || 5-13 || Schilling (13-3) || Windsor (0-1) || – || 34,077 || 51-49|- style="background-color:#bbffbb"| 101 || July 26 || Red Sox || 5-1 || Haren (7-9) || Snyder (2-2) || – || 35,077 || 52-49|- style="background-color:#bbffbb"| 102 || July 27 || Blue Jays || 5-2 || Blanton (11-8) || Lilly (9-9) || Street (21) || 19,251 || 53-49|- style="background-color:#ffbbbb"| 103 || July 28 || Blue Jays || 3-4 || Downs (5-1) || Loaiza (4-7) || Ryan (25) || 22,217 || 53-50|- style="background-color:#bbffbb"| 104 || July 29 || Blue Jays || 7-4 || Zito (11-7) || McGowan (1-1) || Street (22) || 25,627 || 54-50|- style="background-color:#bbffbb"| 105 || July 30 || Blue Jays || 6-5 || Street (4-3) || Ryan (1-1) || – || 29,709 || 55-50|- style="background-color:#bbffbb"| 106 || July 31 || @ Angels || 3-1 || Haren (8-9) || Santana (11-5) || – || 43,558 || 56-50|- style="background-color:#ffbbbb"| 107 || August 1 || @ Angels || 2-3 || Saunders (2-0) || Blanton (11-9) || F. Rodríguez (26) || 44,111 || 55-51|- style="background-color:#bbffbb"| 108 || August 2 || @ Angels || 3-2 || Calero || Shields (6-7) || Street (23) || 44,149 || 57-51|- style="background-color:#bbffbb"| 109 || August 4 || @ Mariners || 5-2 || Zito (12-7) || Washburn (5-11) || – || 44,277 || 58-51|- style="background-color:#bbffbb"| 110 || August 5 || @ Mariners || 5-2 || Haren (9-9) || Piñeiro (7-9) || Street (24) || 40,115 || 59-51|- style="background-color:#bbffbb"| 111 || August 6 || @ Mariners || 7-6 || Blanton (12-9) || Meche (9-6) || Street (25) || 37,437 || 60-51|- style="background-color:#bbffbb"| 112 || August 7 || Rangers || 7-4 || Loaiza (5-7) || Vólquez (0-1) || Calero (2) || 21,208 || 61-51|- style="background-color:#bbffbb"| 113 || August 8 || Rangers || 7-6 || Saarloos (4-6) || Millwood (10-8) || Street (26) || 21,650 || 62-51|- style="background-color:#ffbbbb"| 114 || August 9 || Rangers || 0-14 || Padilla (12-7) || Zito (12-8) || – || 30,127 || 62-52|- style="background-color:#bbffbb"| 115 || August 11 || Devil Rays || 5-2 || Haren (10-9) || Kazmir (10-8) || Street (27) || 20,758 || 63-52|- style="background-color:#bbffbb"| 116 || August 12 || Devil Rays || 6-3 || Blanton (13-9) || Fossum (6-5) || Street (28) || 26,523 || 64-52|- style="background-color:#bbffbb"| 117 || August 13 || Devil Rays || 3-1 || Loaiza (6-7) || Corcoran (4-4) || Street (29) || 28,692 || 65-52|- style="background-color:#bbffbb"| 118 || August 14 || Mariners || 5-4 || Kennedy (3-0) || Soriano (1-2) || Duchscherer (3) || 21,859 || 66-52|- style="background-color:#bbffbb"| 119 || August 15 || Mariners || 11-2 || Saarloos (5-6) || Piñeiro (7-11) || – || 23,726 || 67-52|- style="background-color:#bbffbb"| 120 || August 16 || Mariners || 4-0 || Haren (11-9) || Meche (9-8) || – || 34,077 || 68-52|- style="background-color:#ffbbbb"| 121 || August 18|| @ Royals || 1-7 || Hudson (6-4) || Blanton (13-10) || – || n/a || 68-53|- style="background-color:#ffbbbb"| 122 || August 18 || @ Royals || 3-5 || Burgos (3-5) || Street (4-4) || Nelson (2) || 23,952 || 68-54|- style="background-color:#bbffbb"| 123 || August 19 || @ Royals || 7-2 || Zito (13-8) || Redman (7-8) || – || 30,810 || 69-54|- style="background-color:#bbffbb"| 124 || August 20 || @ Royals || 6-4 || Saarloos (6-6) || Hernández (3-8) || – || 16,592 || 70-54|- style="background-color:#bbffbb"| 125 || August 21 || @ Blue Jays || 12-10 || Haren (12-9) || League (0-1) || Duchscherer (4) || 28,280 || 71-54|- style="background-color:#ffbbbb"| 126 || August 22 || @ Blue Jays || 3-4 || Burnett (6-5) || Halsey (3-4) || Ryan (28) || 30,071 || 71-55|- style="background-color:#bbffbb"| 127 || August 23 || @ Blue Jays || 6-0 || Loaiza (7-7) || Chacín (6-3) || – || 32,516 || 72-55|- style="background-color:#bbffbb"| 128 || August 25 || @ Rangers || 9-3 || Zito (14-8) || Vólquez (1-3) || – || 31,178 || 73-55|- style="background-color:#bbffbb"| 129 || August 26 || @ Rangers || 5-3 || Blanton (14-10) || Eaton (3-4) || Duchscherer (5) || 37,752 || 74-55|- style="background-color:#ffbbbb"| 130 || August 27 || @ Rangers || 0-3 || Padilla (13-8) || Haren (12-10) || Otsuka (28) || 25,708 || 74-56|- style="background-color:#bbffbb"| 131 || August 28 || Red Sox || 9-0 || Loaiza (8-7) || Gabbard (0-3) || – || 30,159 || 75-56|- style="background-color:#bbffbb"| 132 || August 29 || Red Sox || 2-1 || Saarloos (7-6) || Beckett (14-9) || Duchscherer (6) || 30,517 || 76-56|- style="background-color:#bbffbb"| 133 || August 30 || Red Sox || 7-2 || Zito (15-8) || Schilling (14-7) || – || 31,073 || 77-56|- style="background-color:#bbffbb"| 134 || September 1 || Orioles || 5-4 || Halsey (4-4) || Williams (2-4) || Duchscherer (7) || 31,179 || 78-56|- style="background-color:#ffbbbb"| 135 || September 2 || Orioles || 5-6 || Loewen (5-4) || Haren (12-11) || Ray (31) || 24,383 || 78-57|- style="background-color:#bbffbb"| 136 || September 3 || Orioles || 10-1 || Loaiza (9-7) || Penn (0-1) || – || 26,280 || 79-57|- style="background-color:#ffbbbb"| 137 || September 4 || Rangers || 1-8 || Tejeda (4-3) || Zito (15-9) || – || 23,949 || 79-58|- style="background-color:#ffbbbb"| 138 || September 5 || Rangers || 4-5 || Eaton (5-4) || Saarloos (7-7) || Otsuka (31) || 27,225 || 79-59|- style="background-color:#bbffbb"| 139 || September 6 || Rangers || 9-6 || Blanton (15-10) || Rupe (0-1) || Duchscherer (8) || 17,838 || 80-59|- style="background-color:#bbffbb"| 140 || September 8 || @ Devil Rays || 8-6 || Haren (13-11) || Shields (6-7) || Street (30) || 12,821 || 81-59|- style="background-color:#ffbbbb"| 141 || September 9 || @ Devil Rays || 6-9 || Miceli (1-1) || Loaiza (9-8) || McClung (6) || 22,016 || 81-60|- style="background-color:#bbffbb"| 142 || September 10 || @ Devil Rays || 9-7 || Kennedy (4-0) || Camp (7-3) || Street (31) || 16,791 || 82-60|- style="background-color:#ffbbbb"| 143 || September 11 || @ Twins || 4-9 || Silva (9-13) || Blanton (15-11) || Nathan (31) || 15,728 || 82-61|- style="background-color:#ffbbbb"| 144 || September 12 || @ Twins || 5-7 || Reyes (5-0) || Kennedy (4-1) || Nathan (32) || 20,991 || 82-62|- style="background-color:#bbffbb"| 145 || September 13 || @ Twins || 1-0 || Haren (14-11) || Garza (1-5) || Street (32) || 18,902 || 83-62|- style="background-color:#bbffbb"| 146 || September 15 || White Sox || 4-2 || Loaiza (10-8) || Garland (17-5) || Street (33) || 26,809 || 84-62|- style="background-color:#bbffbb"| 147 || September 16 || White Sox || 7-4 || Zito (16-9) || Thornton (5-3) || Street (34) || 32,169 || 85-62|- style="background-color:#bbffbb"| 148 || September 17 || White Sox || 5-4 || Blanton (16-11) || Contreras (13-8) || Duchscherer (9) || 28,806 || 86-62|- style="background-color:#ffbbbb"| 149 || September 18 || Indians || 2-7 || Westbrook (13-10) || Haren (14-12) || – || 17,352 || 86-63|- style="background-color:#bbffbb"| 150 || September 19 || Indians || 7-3 || Gaudin (2-2) || Lee (12-11) || – || 15,866 || 87-63|- style="background-color:#bbffbb"| 151 || September 20 || Indians || 4-3 || Loaiza (11-8) || Cabrera (3-3) || Street (35) || 25,131 || 88-63|- style="background-color:#bbffbb"| 152 || September 21 || Indians || 7-4 || Gaudin (3-2) || Sabathia (11-11) || Street (36) || 20,452 || 89-63|- style="background-color:#bbffbb"| 153 || September 22 || Angels || 5-4 (12) || Halsey (5-4) || F. Rodríguez (2-3) || – || 35,077 || 90-63|- style="background-color:#ffbbbb"| 154 || September 23 || Angels || 2-6 || Lackey (12-11) || Blanton (16-12) || – || 34,077 || 90-64|- style="background-color:#ffbbbb"| 155 || September 24 || Angels || 1-7 || Santana (15-8) || Haren (14-13) || – || 34,077 || 90-65|- style="background-color:#ffbbbb"| 156 || September 25 || @ Mariners || 9-10 (10) || Putz (4-1) || Calero (3-2) || – || 20,982 || 90-66|- style="background-color:#bbffbb"| 157 || September 26 || @ Mariners || 12-3 || Harden (4-0) || Woods (6-4) || – || 19,604 || 91-66|- style="background-color:#bbffbb"| 158 || September 27 || @ Mariners || 7-6 (10) || Witasick (1-0) || Sherrill (2-4) || Street (37) || 23,421 || 92-66|- style="background-color:#ffbbbb"| 159 || September 28 || @ Angels || 0-2 || Lackey (13-11) || Zito (16-10) || F. Rodríguez (46) || 41,944 || 92-67|- style="background-color:#ffbbbb"| 160 || September 29 || @ Angels || 0-6 || Santana (16-8) || Loaiza (11-9) || – || 43,948 || 92-68|- style="background-color:#ffbbbb"| 161 || September 30 || @ Angels || 6-7 || Carrasco (7-3) || Flores (1-2) || F. Rodríguez (47) || 43,944 || 92-69|- style="background-color:#bbffbb"| 162 || October 1 || @ Angels || 11-10 || Gaudin (4-2) || Bootcheck (0-1) || Flores (1) || 44,107 || 93-69

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text: Yankees

text: || 2-15 ||

text: Johnson

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text: Zito

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text: Yankees

text: || 4-3 ||

text: Street

text: (1-0) ||

text: Proctor

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text: || 9-4 ||

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text: Mariners

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text: Mariners

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text: Blanton

text: (1-0) ||

text: Hernández

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text: Mariners

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text: Zito

text: (1-1) ||

text: Moyer

text: (0-1) ||

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text: (1) || 37,904 || 4-2|- style="background-color:#bbffbb"| 7 || April 9 || @

text: Mariners

text: || 6-4 ||

text: Harden

text: (1-0) ||

text: Piñeiro

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text: Twins

text: || 6-7 ||

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text: (2-0) ||

text: Haren

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text: Twins

text: || 5-6 ||

text: Silva

text: (1-1) ||

text: Loaiza

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text: Twins

text: || 2-8 ||

text: Lohse

text: (1-1) ||

text: Blanton

text: (1-1) || – || 13,520 || 5-5|- style="background-color:#ffbbbb"| 11 || April 14 ||

text: Rangers

text: || 3-6 ||

text: Millwood

text: (1-2) ||

text: Zito

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text: || 5-4 ||

text: Harden

text: (2-0) ||

text: Padilla

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text: Rangers

text: || 3-5 ||

text: Cordero

text: (1-1) ||

text: Street

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text: || 4-3 ||

text: Duchscherer

text: (1-0) ||

text: Verlander

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text: Tigers

text: || 4-11 ||

text: Rogers

text: (3-1) ||

text: Blanton

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text: Tigers

text: || 3-4 ||

text: Rodney

text: (1-0) ||

text: Duchscherer

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text: || 5-3 ||

text: Harden

text: (3-0) ||

text: Romero

text: (1-2) ||

text: Calero

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text: || 4-5 ||

text: Weaver

text: (1-2) ||

text: Haren

text: (0-2) ||

text: F. Rodríguez

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text: Escobar

text: (3-1) ||

text: Loaiza

text: (0-3) ||

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text: || 3-2 ||

text: Blanton

text: (2-2) ||

text: Wilson

text: (1-1) ||

text: Duchscherer

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text: Rangers

text: || 5-6 ||

text: Cordero

text: (3-2) ||

text: Gaudin

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text: Duchscherer

text: (2-1) ||

text: Wilson

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text: Royals

text: || 5-3 ||

text: Haren

text: (1-2) ||

text: Mays

text: (0-3) ||

text: Saarloos

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text: Royals

text: || colspan=5|Postponed (rain) Rescheduled for August 18 || 11-12|- style="background-color:#bbffbb"| 24 || April 30 || @

text: Royals

text: || 13-6 ||

text: Blanton

text: (3-2) ||

text: Hudson

text: (0-3) || – || 15,224 || 12-12|- style="background-color:#bbffbb"| 25 || May 1 || @

text: Angels

text: || 1-0 ||

text: Zito

text: (2-2) ||

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text: Angels

text: || 10-3 ||

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text: (1-0) ||

text: Lackey

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text: || 3-14 ||

text: Byrd

text: (4-2) ||

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text: (1-3) || – || 18,248 || 14-13|- style="background-color:#bbffbb"| 28 || May 4 ||

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text: || 12-4 ||

text: Saarloos

text: (1-0) ||

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text: (2-2) ||

text: Gaudin

text: (1) || 14,695 || 15-13|- style="background-color:#ffbbbb"| 29 || May 5 ||

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text: || 1-3 ||

text: Kazmir

text: (4-2) ||

text: Blanton

text: (3-3) ||

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text: Devil Rays

text: || 3-2 ||

text: Kennedy

text: (2-0) ||

text: Orvella

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text: Devil Rays

text: || 2-3 ||

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text: (2-2) ||

text: Halsey

text: (1-1) ||

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text: Blue Jays

text: || 6-5 ||

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text: (2-3) ||

text: Towers

text: (0-7) ||

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text: (5) || 36,269 || 17-15|- style="background-color:#ffbbbb"| 33 || May 10 || @

text: Blue Jays

text: || 7-9 ||

text: Rosario

text: (1-0) ||

text: Blanton

text: (3-4) ||

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text: (8) || 19,269 || 17-16|- style="background-color:#ffbbbb"| 34 || May 11 || @

text: Blue Jays

text: || 3-8 ||

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text: (4-2) ||

text: Saarloos

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text: Yankees

text: || 0-2 ||

text: Wang

text: (3-1) ||

text: Zito

text: (2-3) ||

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text: (7) || 47,497 || 17-18|- style="background-color:#ffbbbb"| 36 || May 13 || @

text: Yankees

text: || 3-4 ||

text: Wright

text: (1-2) ||

text: Halsey

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text: Yankees

text: || 6-1 ||

text: Haren

text: (3-3) ||

text: Johnson

text: (5-4) || – || 52,587 || 18-19|- style="background-color:#bbffbb"| 38 || May 16 ||

text: Mariners

text: || 12-6 ||

text: Blanton

text: (4-4) ||

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text: Mariners

text: || 7-2 ||

text: Zito

text: (3-3) ||

text: Moyer

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text: || 6-3 ||

text: Saarloos

text: (2-1) ||

text: Piñeiro

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text: || 1-0 ||

text: Haren

text: (4-3) ||

text: Lowry

text: (1-1) ||

text: Street

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text: Giants

text: || 2-4 (10) ||

text: Benítez

text: (3-0) ||

text: Calero

text: (0-1) || – || 35,077 || 22-20|- style="background-color:#ffbbbb"| 43 || May 21 ||

text: Giants

text: || 0-6 ||

text: Cain

text: (2-5) ||

text: Blanton

text: (4-5) || – || 35,077 || 22-21|- style="background-color:#ffbbbb"| 44 || May 22 || @

text: White Sox

text: || 4-5 (10) ||

text: Jenks

text: (2-1) ||

text: Flores

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text: White Sox

text: || 3-9 ||

text: Vázquez

text: (5-3) ||

text: Saarloos

text: (2-2) || – || 38,860 || 22-23|- style="background-color:#ffbbbb"| 46 || May 24 || @

text: White Sox

text: || 2-3 ||

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text: (6-2) ||

text: Haren

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text: Jenks

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text: Rangers

text: || 7-8 ||

text: Otsuka

text: (1-1) ||

text: Street

text: (1-2) || – || 22,006 || 22-25|- style="background-color:#ffbbbb"| 48 || May 26 || @

text: Rangers

text: || 3-5 ||

text: Cordero

text: (4-3) ||

text: Gaudin

text: (0-2) ||

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text: (7) || 27,791 || 22-26|- style="background-color:#bbffbb"| 49 || May 27 || @

text: Rangers

text: || 6-3 ||

text: Zito

text: (4-3) ||

text: Loe

text: (3-5) ||

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text: (8) || 41,226 || 23-26|- style="background-color:#ffbbbb"| 50 || May 28 || @

text: Rangers

text: || 3-4 ||

text: Padilla

text: (5-3) ||

text: Saarloos

text: (2-3) ||

text: Otsuka

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text: Royals

text: || 4-6 ||

text: Etherton

text: (1-0) ||

text: Haren

text: (4-5) ||

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text: || 7-8 (10) ||

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text: Roney

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text: Royals

text: || 7-0 ||

text: Blanton

text: (5-5) ||

text: Elarton

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text: Twins

text: || 4-0 ||

text: Zito

text: (5-3) ||

text: Bonser

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text: Twins

text: || 1-2 ||

text: Santana

text: (5-4) ||

text: Saarloos

text: (2-4) ||

text: Nathan

text: (7) || 16,138 || 25-30|- style="background-color:#bbffbb"| 56 || June 3 ||

text: Twins

text: || 2-1 ||

text: Halsey

text: (2-2) ||

text: Radke

text: (4-7) ||

text: Street

text: (9) || 23,194 || 26-30|- style="background-color:#bbffbb"| 57 || June 4 ||

text: Twins

text: || 5-1 ||

text: Halsey

text: (3-2) ||

text: Silva

text: (2-7) || – || 25,247 || 27-30|- style="background-color:#bbffbb"| 58 || June 6 || @

text: Indians

text: || 7-6 ||

text: Zito

text: (6-3) ||

text: Betancourt

text: (0-1) ||

text: Street

text: (10) || 17,340 || 28-30|- style="background-color:#ffbbbb"| 59 || June 7 || @

text: Indians

text: || 2-11 ||

text: Byrd

text: (5-4) ||

text: Blanton

text: (5-6) || – || 20,311 || 28-31|- style="background-color:#bbffbb"| 60 || June 8 || @

text: Indians

text: || 4-1 ||

text: Loaiza

text: (1-3) ||

text: Johnson

text: (3-6) ||

text: Street

text: (11) || 21,099 || 29-31|- style="background-color:#bbffbb"| 61 || June 9 || @

text: Yankees

text: || 6-5 ||

text: Haren

text: (5-5) ||

text: Johnson

text: (7-5) ||

text: Street

text: (12) || 53,837 || 30-31|- style="background-color:#bbffbb"| 62 || June 10 || @

text: Yankees

text: || 5-2 ||

text: Saarloos

text: (3-4) ||

text: Mussina

text: (8-2) ||

text: Street

text: (13) || 53,779 || 31-31|- style="background-color:#bbffbb"| 63 || June 11 || @

text: Yankees

text: || 6-5 ||

text: Zito

text: (7-3) ||

text: Kyle Farnsworth

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text: Street

text: (14) || 54,570 || 32-31|- style="background-color:#bbffbb"| 64 || June 13 ||

text: Mariners

text: || 2-0 ||

text: Blanton

text: (6-6) ||

text: Moyer

text: (3-6) ||

text: Street

text: (15) || 15,216 || 33-31|- style="background-color:#bbffbb"| 65 || June 14 ||

text: Mariners

text: || 7-2 ||

text: Haren

text: (6-5) ||

text: Piñeiro

text: (5-7) || – || 20,550 || 34-31|- style="background-color:#bbffbb"| 66 || June 15 ||

text: Mariners

text: || 9-6 ||

text: Loaiza

text: (2-3) ||

text: Washburn

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text: Street

text: (16) || 16,563 || 35-31|- style="background-color:#bbffbb"| 67 || June 16 ||

text: Dodgers

text: || 7-3 ||

text: Zito

text: (8-3) ||

text: Tomko

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text: Dodgers

text: || 5-4 (17) ||

text: Karsay

text: (1-0) ||

text: Seo

text: (2-4) || – || 35,077 || 37-31|- style="background-color:#bbffbb"| 69 || June 18 ||

text: Dodgers

text: || 5-2 ||

text: Blanton

text: (7-6) ||

text: Sele

text: (3-2) ||

text: Street

text: (17) || 35,077 || 38-31|- style="background-color:#ffbbbb"| 70 || June 19 || @

text: Rockies

text: || 0-7 ||

text: Kim

text: (4-4) ||

text: Haren

text: (6-6) || – || 21,964 || 38-32|- style="background-color:#ffbbbb"| 71 || June 20 || @

text: Rockies

text: || 0-6 ||

text: Jennings

text: (6-6) ||

text: Loaiza

text: (2-4) || – || 21,753 || 38-33|- style="background-color:#bbffbb"| 72 || June 21 || @

text: Rockies

text: || 3-2 (11) ||

text: Calero

text: (1-1) ||

text: King

text: (1-3) || – || 26,489 || 39-33|- style="background-color:#bbffbb"| 73 || June 23 || @

text: Giants

text: || 4-3 ||

text: Calero

text: (2-1) ||

text: Benítez

text: (4-1) ||

text: Street

text: (18) || 42,948 || 40-33|- style="background-color:#ffbbbb"| 74 || June 24 || @

text: Giants

text: || 7-8 ||

text: Worrell

text: (3-2) ||

text: Street

text: (1-3) || – || 42,866 || 40-34|- style="background-color:#bbffbb"| 75 || June 25 || @

text: Giants

text: || 10-4 ||

text: Loaiza

text: (3-4) ||

text: Cain

text: (6-6) || – || 42,414 || 41-34|- style="background-color:#ffbbbb"| 76 || June 27 || @

text: Padres

text: || 0-3 ||

text: Young

text: (7-3) ||

text: Zito

text: (8-4) ||

text: Hoffman

text: (19) || 34,102 || 41-35|- style="background-color:#ffbbbb"| 77 || June 28 || @

text: Padres

text: || 1-8 ||

text: Hensley

text: (5-6) ||

text: Blanton

text: (7-7) || – || 39,874 || 41-36|- style="background-color:#bbffbb"| 78 || June 29 || @

text: Padres

text: || 6-5 (14) ||

text: Flores

text: (1-1) ||

text: Cassidy

text: (4-4) ||

text: Gaudin

text: (2) || 30,301 || 42-36|- style="background-color:#ffbbbb"| 79 || June 30 ||

text: Diamondbacks

text: || 4-6 ||

text: Vargas

text: (7-4) ||

text: Halsey

text: (3-3) ||

text: Julio

text: (7) || 16,756 || 42-37|- style="background-color:#ffbbbb"| 80 || July 1 ||

text: Diamondbacks

text: || 2-7 ||

text: Batista

text: (8-5) ||

text: Loaiza

text: (3-5) || – || 19,024 || 42-38|- style="background-color:#ffbbbb"| 81 || July 2 ||

text: Diamondbacks

text: || 1-3 ||

text: Webb

text: (9-3) ||

text: Zito

text: (8-5) || – || 19,130 || 42-39|- style="background-color:#bbffbb"| 82 || July 3 ||

text: Tigers

text: || 5-3 ||

text: Blanton

text: (8-7) ||

text: Robertson

text: (8-4) ||

text: Street

text: (19) || 35,077 || 43-39|- style="background-color:#bbffbb"| 83 || July 4 ||

text: Tigers

text: || 2-1 (10) ||

text: Gaudin

text: (1-2) ||

text: Rodney

text: (4-3) || – || 21,096 || 44-39|- style="background-color:#ffbbbb"| 84 || July 5 ||

text: Tigers

text: || 4-10 ||

text: Rogers

text: (11-3) ||

text: Saarloos

text: (3-5) ||

text: Colón

text: (1) || 22,210 || 44-40|- style="background-color:#bbffbb"| 85 || July 6 ||

text: Angels

text: || 7-5 ||

text: Street

text: (2-3) ||

text: Shields

text: (4-6) || – || 14,673 || 45-40|- style="background-color:#ffbbbb"| 86 || July 7 ||

text: Angels

text: || 0-3 ||

text: Lackey

text: (7-5) ||

text: Zito

text: (8-6) || – || 20,711 || 45-41|- style="background-color:#ffbbbb"| 87 || July 8 ||

text: Angels

text: || 4-6 ||

text: Weaver

text: (6-0) ||

text: Blanton

text: (8-8) ||

text: F. Rodríguez

text: (20) || 25,289 || 45-42|- style="background-color:#ffbbbb"| 88 || July 9 ||

text: Angels

text: || 2-4 ||

text: Santana

text: (10-3) ||

text: Haren

text: (6-7) ||

text: F. Rodríguez

text: (21) || 26,603 || 45-43|- style="background-color:#bbffbb"| 89 || July 13 || @

text: Red Sox

text: || 5-4 (11) ||

text: Street

text: (3-3) ||

text: Tavárez

text: (1-3) ||

text: Saarloos

text: (2) || 36,141 || 46-43|- style="background-color:#bbffbb"| 90 || July 14 || @

text: Red Sox

text: || 15-3 ||

text: Zito

text: (9-6) ||

text: Beckett

text: (11-5) || – || 36,319 || 47-43|- style="background-color:#ffbbbb"| 91 || July 15 || @

text: Red Sox

text: || 0-7 ||

text: Schilling

text: (11-3) ||

text: Haren

text: (6-8) || – || 36,232 || 47-44|- style="background-color:#bbffbb"| 92 || July 16 || @

text: Red Sox

text: || 8-1 ||

text: Blanton

text: (9-8) ||

text: Snyder

text: (1-1) || – || 35,643 || 48-44|- style="background-color:#ffbbbb"| 93 || July 17 || @

text: Orioles

text: || 3-5 ||

text: Birkins

text: (5-1) ||

text: Saarloos

text: (3-6) ||

text: Ray

text: (23) || 19,652 || 48-45|- style="background-color:#bbffbb"| 94 || July 18 || @

text: Orioles

text: || 5-4 ||

text: Loaiza

text: (4-5) ||

text: E. Rodríguez

text: (0-1) ||

text: Street

text: (20) || 20,827 || 49-45|- style="background-color:#bbffbb"| 95 || July 19 || @

text: Orioles

text: || 5-1 ||

text: Zito

text: (10-6) ||

text: Benson

text: (9-9) || – || 29,407 || 50-45|- style="background-color:#ffbbbb"| 96 || July 21 || @

text: Tigers

text: || 4-7 ||

text: Verlander

text: (12-4) ||

text: Haren

text: (6-9) || – || 40,687 || 50-46|- style="background-color:#bbffbb"| 97 || July 22 || @

text: Tigers

text: || 9-5 ||

text: Blanton

text: (10-8) ||

text: Ledezma

text: (1-1) || – || 38,923 || 51-46|- style="background-color:#ffbbbb"| 98 || July 23 || @

text: Tigers

text: || 4-8 ||

text: Robertson

text: (9-6) ||

text: Loaiza

text: (4-6) || – || 40,355 || 51-47|- style="background-color:#ffbbbb"| 99 || July 24 ||

text: Red Sox

text: || 3-7 ||

text: Beckett

text: (13-5) ||

text: Zito

text: (10-7) || – || 33,370 || 51-48|- style="background-color:#ffbbbb"| 100 || July 25 ||

text: Red Sox

text: || 5-13 ||

text: Schilling

text: (13-3) ||

text: Windsor

text: (0-1) || – || 34,077 || 51-49|- style="background-color:#bbffbb"| 101 || July 26 ||

text: Red Sox

text: || 5-1 ||

text: Haren

text: (7-9) ||

text: Snyder

text: (2-2) || – || 35,077 || 52-49|- style="background-color:#bbffbb"| 102 || July 27 ||

text: Blue Jays

text: || 5-2 ||

text: Blanton

text: (11-8) ||

text: Lilly

text: (9-9) ||

text: Street

text: (21) || 19,251 || 53-49|- style="background-color:#ffbbbb"| 103 || July 28 ||

text: Blue Jays

text: || 3-4 ||

text: Downs

text: (5-1) ||

text: Loaiza

text: (4-7) ||

text: Ryan

text: (25) || 22,217 || 53-50|- style="background-color:#bbffbb"| 104 || July 29 ||

text: Blue Jays

text: || 7-4 ||

text: Zito

text: (11-7) ||

text: McGowan

text: (1-1) ||

text: Street

text: (22) || 25,627 || 54-50|- style="background-color:#bbffbb"| 105 || July 30 ||

text: Blue Jays

text: || 6-5 ||

text: Street

text: (4-3) ||

text: Ryan

text: (1-1) || – || 29,709 || 55-50|- style="background-color:#bbffbb"| 106 || July 31 || @

text: Angels

text: || 3-1 ||

text: Haren

text: (8-9) ||

text: Santana

text: (11-5) || – || 43,558 || 56-50|- style="background-color:#ffbbbb"| 107 || August 1 || @

text: Angels

text: || 2-3 ||

text: Saunders

text: (2-0) ||

text: Blanton

text: (11-9) ||

text: F. Rodríguez

text: (26) || 44,111 || 55-51|- style="background-color:#bbffbb"| 108 || August 2 || @

text: Angels

text: || 3-2 ||

text: Calero

text: Shields

text: (6-7) ||

text: Street

text: (23) || 44,149 || 57-51|- style="background-color:#bbffbb"| 109 || August 4 || @

text: Mariners

text: || 5-2 ||

text: Zito

text: (12-7) ||

text: Washburn

text: (5-11) || – || 44,277 || 58-51|- style="background-color:#bbffbb"| 110 || August 5 || @

text: Mariners

text: || 5-2 ||

text: Haren

text: (9-9) ||

text: Piñeiro

text: (7-9) ||

text: Street

text: (24) || 40,115 || 59-51|- style="background-color:#bbffbb"| 111 || August 6 || @

text: Mariners

text: || 7-6 ||

text: Blanton

text: (12-9) ||

text: Meche

text: (9-6) ||

text: Street

text: (25) || 37,437 || 60-51|- style="background-color:#bbffbb"| 112 || August 7 ||

text: Rangers

text: || 7-4 ||

text: Loaiza

text: (5-7) ||

text: Vólquez

text: (0-1) ||

text: Calero

text: (2) || 21,208 || 61-51|- style="background-color:#bbffbb"| 113 || August 8 ||

text: Rangers

text: || 7-6 ||

text: Saarloos

text: (4-6) ||

text: Millwood

text: (10-8) ||

text: Street

text: (26) || 21,650 || 62-51|- style="background-color:#ffbbbb"| 114 || August 9 ||

text: Rangers

text: || 0-14 ||

text: Padilla

text: (12-7) ||

text: Zito

text: (12-8) || – || 30,127 || 62-52|- style="background-color:#bbffbb"| 115 || August 11 ||

text: Devil Rays

text: || 5-2 ||

text: Haren

text: (10-9) ||

text: Kazmir

text: (10-8) ||

text: Street

text: (27) || 20,758 || 63-52|- style="background-color:#bbffbb"| 116 || August 12 ||

text: Devil Rays

text: || 6-3 ||

text: Blanton

text: (13-9) ||

text: Fossum

text: (6-5) ||

text: Street

text: (28) || 26,523 || 64-52|- style="background-color:#bbffbb"| 117 || August 13 ||

text: Devil Rays

text: || 3-1 ||

text: Loaiza

text: (6-7) ||

text: Corcoran

text: (4-4) ||

text: Street

text: (29) || 28,692 || 65-52|- style="background-color:#bbffbb"| 118 || August 14 ||

text: Mariners

text: || 5-4 ||

text: Kennedy

text: (3-0) ||

text: Soriano

text: (1-2) ||

text: Duchscherer

text: (3) || 21,859 || 66-52|- style="background-color:#bbffbb"| 119 || August 15 ||

text: Mariners

text: || 11-2 ||

text: Saarloos

text: (5-6) ||

text: Piñeiro

text: (7-11) || – || 23,726 || 67-52|- style="background-color:#bbffbb"| 120 || August 16 ||

text: Mariners

text: || 4-0 ||

text: Haren

text: (11-9) ||

text: Meche

text: (9-8) || – || 34,077 || 68-52|- style="background-color:#ffbbbb"| 121 || August 18|| @

text: Royals

text: || 1-7 ||

text: Hudson

text: (6-4) ||

text: Blanton

text: (13-10) || – || n/a || 68-53|- style="background-color:#ffbbbb"| 122 || August 18 || @

text: Royals

text: || 3-5 ||

text: Burgos

text: (3-5) ||

text: Street

text: (4-4) ||

text: Nelson

text: (2) || 23,952 || 68-54|- style="background-color:#bbffbb"| 123 || August 19 || @

text: Royals

text: || 7-2 ||

text: Zito

text: (13-8) ||

text: Redman

text: (7-8) || – || 30,810 || 69-54|- style="background-color:#bbffbb"| 124 || August 20 || @

text: Royals

text: || 6-4 ||

text: Saarloos

text: (6-6) ||

text: Hernández

text: (3-8) || – || 16,592 || 70-54|- style="background-color:#bbffbb"| 125 || August 21 || @

text: Blue Jays

text: || 12-10 ||

text: Haren

text: (12-9) ||

text: League

text: (0-1) ||

text: Duchscherer

text: (4) || 28,280 || 71-54|- style="background-color:#ffbbbb"| 126 || August 22 || @

text: Blue Jays

text: || 3-4 ||

text: Burnett

text: (6-5) ||

text: Halsey

text: (3-4) ||

text: Ryan

text: (28) || 30,071 || 71-55|- style="background-color:#bbffbb"| 127 || August 23 || @

text: Blue Jays

text: || 6-0 ||

text: Loaiza

text: (7-7) ||

text: Chacín

text: (6-3) || – || 32,516 || 72-55|- style="background-color:#bbffbb"| 128 || August 25 || @

text: Rangers

text: || 9-3 ||

text: Zito

text: (14-8) ||

text: Vólquez

text: (1-3) || – || 31,178 || 73-55|- style="background-color:#bbffbb"| 129 || August 26 || @

text: Rangers

text: || 5-3 ||

text: Blanton

text: (14-10) ||

text: Eaton

text: (3-4) ||

text: Duchscherer

text: (5) || 37,752 || 74-55|- style="background-color:#ffbbbb"| 130 || August 27 || @

text: Rangers

text: || 0-3 ||

text: Padilla

text: (13-8) ||

text: Haren

text: (12-10) ||

text: Otsuka

text: (28) || 25,708 || 74-56|- style="background-color:#bbffbb"| 131 || August 28 ||

text: Red Sox

text: || 9-0 ||

text: Loaiza

text: (8-7) ||

text: Gabbard

text: (0-3) || – || 30,159 || 75-56|- style="background-color:#bbffbb"| 132 || August 29 ||

text: Red Sox

text: || 2-1 ||

text: Saarloos

text: (7-6) ||

text: Beckett

text: (14-9) ||

text: Duchscherer

text: (6) || 30,517 || 76-56|- style="background-color:#bbffbb"| 133 || August 30 ||

text: Red Sox

text: || 7-2 ||

text: Zito

text: (15-8) ||

text: Schilling

text: (14-7) || – || 31,073 || 77-56|- style="background-color:#bbffbb"| 134 || September 1 ||

text: Orioles

text: || 5-4 ||

text: Halsey

text: (4-4) ||

text: Williams

text: (2-4) ||

text: Duchscherer

text: (7) || 31,179 || 78-56|- style="background-color:#ffbbbb"| 135 || September 2 ||

text: Orioles

text: || 5-6 ||

text: Loewen

text: (5-4) ||

text: Haren

text: (12-11) ||

text: Ray

text: (31) || 24,383 || 78-57|- style="background-color:#bbffbb"| 136 || September 3 ||

text: Orioles

text: || 10-1 ||

text: Loaiza

text: (9-7) ||

text: Penn

text: (0-1) || – || 26,280 || 79-57|- style="background-color:#ffbbbb"| 137 || September 4 ||

text: Rangers

text: || 1-8 ||

text: Tejeda

text: (4-3) ||

text: Zito

text: (15-9) || – || 23,949 || 79-58|- style="background-color:#ffbbbb"| 138 || September 5 ||

text: Rangers

text: || 4-5 ||

text: Eaton

text: (5-4) ||

text: Saarloos

text: (7-7) ||

text: Otsuka

text: (31) || 27,225 || 79-59|- style="background-color:#bbffbb"| 139 || September 6 ||

text: Rangers

text: || 9-6 ||

text: Blanton

text: (15-10) ||

text: Rupe

text: (0-1) ||

text: Duchscherer

text: (8) || 17,838 || 80-59|- style="background-color:#bbffbb"| 140 || September 8 || @

text: Devil Rays

text: || 8-6 ||

text: Haren

text: (13-11) ||

text: Shields

text: (6-7) ||

text: Street

text: (30) || 12,821 || 81-59|- style="background-color:#ffbbbb"| 141 || September 9 || @

text: Devil Rays

text: || 6-9 ||

text: Miceli

text: (1-1) ||

text: Loaiza

text: (9-8) ||

text: McClung

text: (6) || 22,016 || 81-60|- style="background-color:#bbffbb"| 142 || September 10 || @

text: Devil Rays

text: || 9-7 ||

text: Kennedy

text: (4-0) ||

text: Camp

text: (7-3) ||

text: Street

text: (31) || 16,791 || 82-60|- style="background-color:#ffbbbb"| 143 || September 11 || @

text: Twins

text: || 4-9 ||

text: Silva

text: (9-13) ||

text: Blanton

text: (15-11) ||

text: Nathan

text: (31) || 15,728 || 82-61|- style="background-color:#ffbbbb"| 144 || September 12 || @

text: Twins

text: || 5-7 ||

text: Reyes

text: (5-0) ||

text: Kennedy

text: (4-1) ||

text: Nathan

text: (32) || 20,991 || 82-62|- style="background-color:#bbffbb"| 145 || September 13 || @

text: Twins

text: || 1-0 ||

text: Haren

text: (14-11) ||

text: Garza

text: (1-5) ||

text: Street

text: (32) || 18,902 || 83-62|- style="background-color:#bbffbb"| 146 || September 15 ||

text: White Sox

text: || 4-2 ||

text: Loaiza

text: (10-8) ||

text: Garland

text: (17-5) ||

text: Street

text: (33) || 26,809 || 84-62|- style="background-color:#bbffbb"| 147 || September 16 ||

text: White Sox

text: || 7-4 ||

text: Zito

text: (16-9) ||

text: Thornton

text: (5-3) ||

text: Street

text: (34) || 32,169 || 85-62|- style="background-color:#bbffbb"| 148 || September 17 ||

text: White Sox

text: || 5-4 ||

text: Blanton

text: (16-11) ||

text: Contreras

text: (13-8) ||

text: Duchscherer

text: (9) || 28,806 || 86-62|- style="background-color:#ffbbbb"| 149 || September 18 ||

text: Indians

text: || 2-7 ||

text: Westbrook

text: (13-10) ||

text: Haren

text: (14-12) || – || 17,352 || 86-63|- style="background-color:#bbffbb"| 150 || September 19 ||

text: Indians

text: || 7-3 ||

text: Gaudin

text: (2-2) ||

text: Lee

text: (12-11) || – || 15,866 || 87-63|- style="background-color:#bbffbb"| 151 || September 20 ||

text: Indians

text: || 4-3 ||

text: Loaiza

text: (11-8) ||

text: Cabrera

text: (3-3) ||

text: Street

text: (35) || 25,131 || 88-63|- style="background-color:#bbffbb"| 152 || September 21 ||

text: Indians

text: || 7-4 ||

text: Gaudin

text: (3-2) ||

text: Sabathia

text: (11-11) ||

text: Street

text: (36) || 20,452 || 89-63|- style="background-color:#bbffbb"| 153 || September 22 ||

text: Angels

text: || 5-4 (12) ||

text: Halsey

text: (5-4) ||

text: F. Rodríguez

text: (2-3) || – || 35,077 || 90-63|- style="background-color:#ffbbbb"| 154 || September 23 ||

text: Angels

text: || 2-6 ||

text: Lackey

text: (12-11) ||

text: Blanton

text: (16-12) || – || 34,077 || 90-64|- style="background-color:#ffbbbb"| 155 || September 24 ||

text: Angels

text: || 1-7 ||

text: Santana

text: (15-8) ||

text: Haren

text: (14-13) || – || 34,077 || 90-65|- style="background-color:#ffbbbb"| 156 || September 25 || @

text: Mariners

text: || 9-10 (10) ||

text: Putz

text: (4-1) ||

text: Calero

text: (3-2) || – || 20,982 || 90-66|- style="background-color:#bbffbb"| 157 || September 26 || @

text: Mariners

text: || 12-3 ||

text: Harden

text: (4-0) ||

text: Woods

text: (6-4) || – || 19,604 || 91-66|- style="background-color:#bbffbb"| 158 || September 27 || @

text: Mariners

text: || 7-6 (10) ||

text: Witasick

text: (1-0) ||

text: Sherrill

text: (2-4) ||

text: Street

text: (37) || 23,421 || 92-66|- style="background-color:#ffbbbb"| 159 || September 28 || @

text: Angels

text: || 0-2 ||

text: Lackey

text: (13-11) ||

text: Zito

text: (16-10) ||

text: F. Rodríguez

text: (46) || 41,944 || 92-67|- style="background-color:#ffbbbb"| 160 || September 29 || @

text: Angels

text: || 0-6 ||

text: Santana

text: (16-8) ||

text: Loaiza

text: (11-9) || – || 43,948 || 92-68|- style="background-color:#ffbbbb"| 161 || September 30 || @

text: Angels

text: || 6-7 ||

text: Carrasco

text: (7-3) ||

text: Flores

text: (1-2) ||

text: F. Rodríguez

text: (47) || 43,944 || 92-69|- style="background-color:#bbffbb"| 162 || October 1 || @

text: Angels

text: || 11-10 ||

text: Gaudin

text: (4-2) ||

text: Bootcheck

text: (0-1) ||

text: Flores

text: (1) || 44,107 || 93-69

text: Scrambles are colorful triangular objects that fall toward the ship.  Each one must be shot and deflected several times to complete the wave.

text: The color shown in the color box above  is the color called "Fuchsia" in A Dictionary of Color. That is why the name fuchsia was chosen as the equivalent to one of the three secondary additive primary colors, electric magenta, because A Dictionary of Color was the primary reference on color names (besides the Munsell Book of Color) before the introduction of personal computers. The color shown above is somewhat brighter than most actual flowers of the fuchsia plant. The color shown as magenta in A Dictionary of Color is a somewhat different color than the color shown in that book as fuchsia—it is the original color magenta now called rich magenta or magenta (dye) (see the article on magenta for a color box displaying a sample of this original magenta).

text: The color shown in the color box above  is the color called "Fuchsia" in A Dictionary of Color. That is why the name fuchsia was chosen as the equivalent to one of the three secondary additive primary colors, electric

text: magenta

text: , because A Dictionary of Color was the primary reference on color names (besides the Munsell Book of Color) before the introduction of

text: personal computer

text: s. The color shown above is somewhat brighter than most actual flowers of the fuchsia plant. The color shown as magenta in A Dictionary of Color is a somewhat different color than the color shown in that book as fuchsia—it is the original color magenta now called rich magenta or magenta (dye) (see the article on magenta for a color box displaying a sample of this original magenta).

text: There are several other patterns which will change the appearance of the color the animal shows. One of these is gray, which, together with the base color gene, will give rise to either gray black or gray moorit. Another is "badgerface", which shows as lighter coloration on the back, sides, neck, ears and face, with a darker color on the underbelly, under the tail, parts of the neck and around the eyes. Once again, this pattern will show as either grey badgerface or moorit badgerface. A further pattern is "mouflon". These sheep will be light-colored where badgerface sheep are dark, and dark where badgerface sheep are light.

text: Buyn, Object Trouve (2012), 16mm, Color, 6 mn, With Byun Chong and Kiya Chong

text: The main objective of the game is to strategically construct a tower with multi-colored blocks.

text: Chromatophores are color pigment changing cells that are directly stimulated by central motor neurons. They are primarily used for quick environmental adaptation for camouflaging. The process of changing the color pigment of their skin relies on a single highly developed chromatophore cell and many muscles, nerves, glail and sheath cells. Chromatophores contract and contain vesicles that stores three different liquid pigments. Each color is indicated by the three types of chromatophore cells: erythrophores, melanophores, and xanthophores. The first type is the erythrophores, which contains reddish pigments such as carotenoids and pteridines. The second type is the melanophores, which contains black and brown pigments such as the melanins. The third type is the xanthophores which contains yellow pigments in the forms of carotenoids. The various colors are made by the combination of the different layers of the chromatophores. These cells are usually located beneath the skin or scale the animals. There are two categories of colors generated by the cell – biochrome and schematochromes. Biochromes are colors chemically formed microscopic, natural pigments. Their chemical composition is created to take in some color of light and reflect the rest. In contrast, schematochromes (structural colors) are colors created by light reflections from a colorless surface and refractions by tissues. Schematochromes act like prisms, refracting and dispersing visible light to the surroundings, which will eventually reflect a specific combination of colors. These categories are determined by the movement of pigments within the chromatophores. The physiological color changes are short-term and fast, found in fishes, and are a result from an animal’s response to a change in the environment. In contrast, the morphological color changes are long-term changes, occurs in different stages of the animal, and are due the change of numbers of chromatophores. To change the color pigments, transparency, or opacity, the cells alter in form and size, and stretch or contract their outer covering.

text: Chromatophore

text: s are color pigment changing cells that are directly stimulated by central motor neurons. They are primarily used for quick environmental adaptation for camouflaging. The process of changing the color pigment of their skin relies on a single highly developed chromatophore cell and many muscles, nerves, glail and sheath cells. Chromatophores contract and contain vesicles that stores three different liquid pigments. Each color is indicated by the three types of chromatophore cells:

text: erythrophores

text: melanophores

text: , and

text: xanthophores

text: . The first type is the erythrophores, which contains reddish pigments such as carotenoids and pteridines. The second type is the melanophores, which contains black and brown pigments such as the melanins. The third type is the xanthophores which contains yellow pigments in the forms of carotenoids. The various colors are made by the combination of the different layers of the chromatophores. These cells are usually located beneath the skin or scale the animals. There are two categories of colors generated by the cell –

text: biochrome

text: and

text: schematochromes

text: . Biochromes are colors chemically formed microscopic, natural pigments. Their chemical composition is created to take in some color of light and reflect the rest. In contrast, schematochromes (structural colors) are colors created by light reflections from a colorless surface and refractions by tissues. Schematochromes act like prisms, refracting and dispersing visible light to the surroundings, which will eventually reflect a specific combination of colors. These categories are determined by the movement of pigments within the chromatophores. The physiological color changes are short-term and fast, found in fishes, and are a result from an animal’s response to a change in the environment. In contrast, the morphological color changes are long-term changes, occurs in different stages of the animal, and are due the change of numbers of chromatophores. To change the color pigments, transparency, or opacity, the cells alter in form and size, and stretch or contract their outer covering.

text: Other properties of a color, such as its saturation or lightness, may be determined by the other substances that accompany pigments. Binders and fillers added to pure pigment chemicals also have their own reflection and absorption patterns, which can affect the final spectrum. Likewise, in pigment/binder mixtures, individual rays of light may not encounter pigment molecules, and may be reflected as is. These stray rays of source light contribute to a slightly less saturated color. Pure pigment allows very little white light to escape, producing a highly saturated color. A small quantity of pigment mixed with a lot of white binder, however, will appear desaturated and pale, due to the high quantity of escaping white light.

text: |- style="background-color:#ffbbbb"| 1 || April 3 || Padres || 7 - 0 || Peavy (1-0) || Zito (0-1) || || 42,773 || 0-1|- style="background-color:#ffbbbb"| 2 || April 4 || Padres || 5 - 3 || Meredith (1-0) || Hennessey (0-1) || Hoffman (1)|| 39,938 || 0-2|- style="background-color:#bbffbb"| 3 || April 5 || Padres || 5 - 3 || Morris (1-0) || Hensley (0-1)|| Benítez (1) || 37,914 || 1-2|- style="background-color:#ffbbbb"| 4 || April 6 || Dodgers || 2 - 1 || Penny (1-0) ||  Lowry (0-1) || Saito (2) || 43,146 || 1-3|- style="background-color:#ffbbbb"| 5 || April 7 || Dodgers || 4 - 1 || Lowe (1-1) || Ortiz (0-1) || Saito (3) || 42,098 || 1-4|- style="background-color:#ffbbbb"| 6 || April 8 || Dodgers || 10 - 4 || Wolf (1-1) || Zito (0-2) || || 39,343 || 1-5|- style="background-color:#ffbbbb"| 7 || April 9 || @ Padres || 1 - 0 || Young (1-0) || Cain (0-1) || Hoffman (2) || 31,388 || 1-6|- style="background-color:#bbffbb"| 8 || April 10 || @ Padres || 6 - 5 || Morris (2-0) || Hensley (0-2) || Benítez (2) || 28,878 || 2-6|- style="background-color:#ffbbbb"| 9 || April 11 || @ Padres || 4 - 0  || Maddux (1-1) || Lowry (0-2) ||  || 31,568 || 2-7|- style="background-color:#bbffbb"| 10 || April 13 || @ Pirates || 8 - 5 || Ortiz (1-1) || Duke (1-1)|| || 22,117 || 3-7|- style="background-color:#bbbbbb"| -- || April 14 || @ Pirates || colspan=5|Postponed (rain) Rescheduled for August 13 || 3-7|- style="background-color:#bbbbbb"| -- || April 15 || @ Pirates || colspan=5|Postponed (rain) Rescheduled for August 13 || 3-7|- style="background-color:#bbffbb"| 11 || April 16 || @ Rockies || 8 - 0 || Zito (1-2) || Francis (1-1) || || 18,222 || 4-7|- style="background-color:#ffbbbb"| 12 || April 17 || @ Rockies || 5 - 3 || Ramírez (1-0) || Correia (0-1) || Fuentes (3) || 18,207 || 4-8|- style="background-color:#bbffbb"| 13 || April 18 || Cardinals || 6 - 5 (12) || Sánchez (1-0) || Hancock (0-1) || || 40,532 || 5-8|- style="background-color:#bbffbb"| 14 || April 19 || Cardinals || 6 - 2 || Lowry (1-2) || Wells (1-3) || Hennessey (1) || 37,398 || 6-8|- style="background-color:#bbffbb"| 15 || April 20 || D-backs || 4 - 2 || Ortiz (2-1) || Davis (1-2) || Benítez (3) || 39,010 || 7-8|- style="background-color:#bbffbb"| 16 || April 21 || D-backs || 1 - 0 || Zito (2-2) || González (1-2) || Benítez (4) || 36,281 || 8-8|- style="background-color:#bbffbb"| 17 || April 22 || D-backs || 2 - 1 || Cain (1-1) || Petit (0-1) || || 36,868 || 9-8|- style="background-color:#bbffbb"| 18 || April 24 || @ Dodgers || 5 - 3 || Morris (3-0) || Lowe (2-3) || Benítez (5) || 44,001 || 10-8|- style="background-color:#bbffbb"| 19 || April 25 || @ Dodgers || 6 -4  || Lowry (2-2) ||Wolf (3-2) ||Benítez (6) || 43,963|| 11-8|- style="background-color:#bbffbb"| 20 || April 26 || @ Dodgers || 5 - 4 ||Correia (1-1) || Beimel (1-1) || Benítez (7)||56,000 || 12-8|- style="background-color:#ffbbbb"| 21 || April 27 || @ D-backs || 3 - 2 || Davis (2-2) || Zito (2-3) || Valverde (9) || 24,798 || 12-9|- style="background-color:#ffbbbb"| 22 || April 28 || @ D-backs || 5 - 4 || Nippert (1-0) || Chulk (0-1) || Valverde (10) || 32,147 || 12-10|- style="background-color:#ffbbbb"| 23 || April 29 || @ D-backs || 5 - 4 || Medders (1-0) || Morris (3-1) || Lyon (1) || 28,818 || 12-11|- style="background-color:#bbffbb"| 24 || April 30 || Rockies || 9 - 5 ||Lowry (3-2) ||Fogg (1-2) || || 34,689 || 13-11|- style=""|- style="background-color:#ffbbbb"| 25 || May 1 || Rockies || 9 - 7 ||Árias (1-0) ||Ortiz (2-2) || Fuentes (5)|| 33,210|| 13-12|- style="background-color:#bbffbb"| 26 || May 2 || Rockies|| 5 - 3||Hennessey (1-1) ||Francis (1-4) || ||32,557 ||14-12|- style="background-color:#ffbbbb"| 27 || May 3 || Phillies || 9 - 7 || Eaton (3-2) || Cain (1-2) || Myers (1) || 33,466 || 14-13|- style="background-color:#bbffbb"| 28 || May 4 || Phillies || 6 - 2 || Morris (4-1) || Moyer (3-2) || || 39,265 || 15-13|- style="background-color:#bbffbb"| 29 || May 5 || Phillies || 9 - 4 || Lowry (4-2) || Lieber (1-1) || || 40,796 || 16-13|- style="background-color:#ffbbbb"| 30 || May 6 || Phillies || 8 - 5 || Hamels (4-1) || Chulk (0-2) || Myers (2) || 38,738 || 16-14|- style="background-color:#bbffbb"| 31 || May 7 || Mets || 9 - 4 ||Zito (3-3) ||Pérez (3-3) || ||37,365 || 17-14|- style="background-color:#ffbbbb"| 32 || May 8 || Mets || 4 - 1 || Glavine (4-1) || Cain (1-3) || Wagner (7) || 39,455 || 17-15|- style="background-color:#ffbbbb"| 33 || May 9 || Mets || 5 - 3 || Heilman (3-2) || Benítez (0-1) || Wagner (8) || 41,832 || 17-16|- style="background-color:#ffbbbb"| 34 || May 10 || @ Rockies || 5 - 3 || Cook (2-1) || Lowry (4-3) || Fuentes (9) || 20,120 || 17-17|- style="background-color:#bbffbb"| 35 || May 11 || @ Rockies || 8 - 3 || Lincecum (1-0) || Fogg (1-4) || || 26,162 || 18-17|- style="background-color:#ffbbbb"| 36 || May 12 || @ Rockies || 6 - 2 ||Francis (2-4) ||Zito (3-4) || ||33,569 ||18-18|- style="background-color:#bbffbb"| 37 || May 13 || @ Rockies || 15 - 2 ||Cain (2-3) ||Buchholz (1-2) || ||24,243 ||19-18|- style="background-color:#ffbbbb"| 38 || May 15 || @ Astros || 6 - 5 (10) || Qualls (4-1) || Sánchez (1-1) || || 33,490 || 19-19|- style="background-color:#ffbbbb"| 39 || May 16 || @ Astros || 2 - 1 || Sampson (4-3) || Lowry (4-4) || Wheeler (9) || 33,533 || 19-20|- style="background-color:#bbffbb"| 40 || May 17 || @ Astros || 2 - 1 (12) || Chulk (1-2) || Lidge (1-2) || Benítez (8) || 36,815 || 20-20|- style="background-color:#ffbbbb"| 41 || May 18 || @ Athletics || 15 - 3 || Gaudin (3-1) || Zito (3-5) || || 35,077 || 20-21|- style="background-color:#ffbbbb"| 42 || May 19 || @ Athletics || 4 - 2 || Haren (4-2) || Cain (2-4) || Embree (1) || 35,077 || 20-22|- style="background-color:#bbffbb"| 43 || May 20 || @ Athletics || 4 - 1 || Morris (5-1) || Kennedy (1-3) || || 35,077 || 21-22|- style="background-color:#bbffbb"| 44 || May 21 || Astros || 4 - 0 || Lowry (5-4) || Sampson (4-4) || || 35,768 || 22-22|- style="background-color:#bbffbb"| 45 || May 22 || Astros || 4 - 2 || Lincecum (2-0) || Oswalt (6-3) || Benítez (9) || 35,134 || 23-22|- style="background-color:#bbffbb"| 46 || May 23 || Astros || 9 - 1 || Zito (4-5) || Albers (1-4) || || 35,521 || 24-22|- style="background-color:#ffbbbb"| 47 || May 25 || Rockies || 5 - 3 || Affeldt (2-1) || Benítez (0-2) || Fuentes (14) || 41,274 || 24-23|- style="background-color:#ffbbbb"| 48 || May 26 || Rockies || 6 - 1 || Cook (4-1) || Morris (5-2) || || 38,212 || 24-24|- style="background-color:#ffbbbb"| 49 || May 27 || Rockies || 6 - 4 (10) || Ramírez (2-1) || Kline (0-1) || Fuentes (15) || 41,708 || 24-25|- style="background-color:#ffbbbb"| 50 || May 29 || @ Mets || 5 - 4 (12) || Smith (2-0) || Benítez  (0-3) || || 47,940 || 24-26|- style="background-color:#bbffbb"| 51 || May 30 || @ Mets || 3 - 0 || Zito (5-5) || Glavine (5-3) || Hennessey (2) || 41,395 || 25-26|- style="background-color:#ffbbbb"| 52 || May 31 || @ Mets || 4 - 2 || Hernández (3-1) || Cain (2-5) || Wagner (13) || 44,228 || 25-27|- style=""|- style="background-color:#bbffbb"| 53 || June 1 || @ Phillies || 13 - 0 || Morris (6-2) || Eaton (5-4) || || 38,164 || 26-27|- style="background-color:#ffbbbb"| 54 || June 2 || @ Phillies || 5 - 2 || Hamels (8-2) || Lowry (5-5) || || 45,153 || 26-28|- style="background-color:#ffbbbb"| 55 || June 3 || @ Phillies || 9 - 8 || Alfonseca (3-1) || Correia (1-2) || || 39,293 || 26-29|- style="background-color:#bbffbb"| 56 || June 4 || @ Phillies || 8 - 1 || Zito (6-5) || Lieber (2-4) || || 33,967 || 27-29|- style="background-color:#ffbbbb"| 57 || June 5 || @ D-backs || 4 - 3 (10) || Lyon (4-2) || Correia (1-3) || || 25,848 || 27-30|- style="background-color:#ffbbbb"| 58 || June 6 || @ D-backs || 1 - 0 || Webb (6-3) || Morris (6-3) || Valverde (21) || 24,398 || 27-31|- style="background-color:#bbffbb"| 59 || June 7 || @ D-backs || 5 - 4 (11) || Taschner (1-0) || Medders (1-2) || Kline (1) || 21,984 || 28-31|- style="background-color:#ffbbbb"| 60 || June 8 || Athletics || 5 - 3 (10) || Calero (1-4) || Hennessey (1-2) || Embree (6) || 42,427 || 28-32|- style="background-color:#ffbbbb"| 61 || June 9 || Athletics || 6 - 0 || Haren (7-2) || Zito (6-6) || || 42,526 || 28-33|- style="background-color:#ffbbbb"| 62 || June 10 || Athletics || 2 - 0 || Casilla (2-0) || Cain (2-6) || || 42,345 || 28-34|- style="background-color:#bbffbb"| 63 || June 11 || Blue Jays || 4 - 3 || Morris (7-3) || Towers (2-4) || || 38,030 || 29-34|- style="background-color:#bbffbb"| 64 || June 12 || Blue Jays || 3 - 2 || Lowry (6-5) || Burnett (5-6) || Hennessey (3) || 37,574 || 30-34|- style="background-color:#ffbbbb"| 65 || June 13 || Blue Jays || 7 - 4 || McGowan (3-2) || Lincecum (2-1) || Accardo (7) || 40,086 || 30-35|- style="background-color:#ffbbbb"| 66 || June 15 || @ Red Sox || 10 - 2 || Tavárez (4-4) || Zito (6-7) || || 36,508 || 30-36|- style="background-color:#ffbbbb"| 67 || June 16 || @ Red Sox || 1 - 0 || Matsuzaka (8-5) || Cain (2-7) || Papelbon (16) || 36,381 || 30-37|- style="background-color:#ffbbbb"| 68 || June 17 || @ Red Sox || 9 - 5 || Wakefield (7-7) || Morris (7-4) || || 36,137 || 30-38|- style="background-color:#ffbbbb"| 69 || June 18 || @ Brewers || 5 - 4 || Gallardo (1-0) || Lowry (6-6) || || 41,631 || 30-39|- style="background-color:#ffbbbb"| 70 || June 19 || @ Brewers || 6 - 2 || Sheets (8-3) || Lincecum (2-2) || || 35,238 || 30-40|- style="background-color:#ffbbbb"| 71 || June 20 || @ Brewers || 7 - 5 || Vargas (6-1) || Zito (6-8)|| Cordero (27) || 35,151 || 30-41|- style="background-color:#ffbbbb"| 72 || June 22 || Yankees || 7 - 3 || Vizcaíno (4-1) || Cain (2-8) || Rivera (9) || 43,425 || 30-42|- style="background-color:#bbffbb"| 73 || June 23 || Yankees ||  6 - 5 (13) || Chulk (2-2) || Proctor (1-4) || || 43,485 || 31-42|- style="background-color:#bbffbb"| 74 || June 24 || Yankees || 7 - 2 || Lowry (7-6) || Mussina (3-5) || || 43,503 || 32-42|- style="background-color:#bbffbb"| 75 || June 25 || Padres || 4 - 3 (11) || Chulk (3-2) || Hampson (2-2) || || 41,140 || 33-42|- style="background-color:#ffbbbb"| 76 || June 26 || Padres || 3 - 2 (10) || Meredith (3-5) || Messenger (0-1) || Hoffman (20) || 41,329 || 33-43|- style="background-color:#ffbbbb"| 77 || June 27 || Padres || 4 - 2 || Maddux (7-4) || Cain (2-9) || Hoffman (21) || 42,527 || 33-44|- style="background-color:#ffbbbb"| 78 || June 29 || D-backs || 4 - 3 (10) || Peña (3-1) || Hennessey (1-3) || Valverde (26) || 39,146 || 33-45|- style="background-color:#bbffbb"| 79 || June 30 || D-backs || 4 - 1 || Lowry (8-6) || Davis (5-9) || Hennessey (4) || 41,515 || 34-45|- style=""|- style="background-color:#bbffbb"| 80 || July 1 || D-backs || 13 - 0 || Lincecum (3-2) || Owings (5-3) || || 42,154 || 35-45|- style="background-color:#ffbbbb"| 81 || July 3 || @ Reds || 7 - 3 || Harang (9-2) || Correia (1-4) || || 37,299 || 35-46|- style="background-color:#bbffbb"| 82 || July 4 || @ Reds || 9 - 5 || Cain (3-9) || Belisle (5-6) || || 24,092 || 36-46|- style="background-color:#ffbbbb"| 83 || July 5 || @ Reds || 6 - 3 || Arroyo (3-9) || Morris (7-5) || Weathers (16) || 30,080 || 36-47|- style="background-color:#bbffbb"| 84 || July 6 || @ Cardinals || 4 - 3 || Lowry (9-6) || Maroth (5-3) || Messenger (1) || 45,245 || 37-47|- style="background-color:#bbffbb"| 85 || July 7 || @ Cardinals || 7 - 6 || Lincecum (4-2) || Looper (6-7) || Hennessey (5) || 45,355 || 38-47|- style="background-color:#ffbbbb"| 86 || July 8 || @ Cardinals || 7 - 0 || Wellemeyer (3-2) || Zito (6-9) || || 44,613 || 38-48|- style="background-color:#ffbbbb"| 87 || July 13 || Dodgers || 9 - 1 || Billingsley (6-0) || Cain (3-10) || || 43,230 || 38-49|- style="background-color:#ffbbbb"| 88 || July 14 || Dodgers || 8 - 7 (12) || Hendrickson (4-4) || Misch (0-1) || Seánez (1) || 43,452 || 38-50|- style="background-color:#ffbbbb"| 89 || July 15 || Dodgers || 5 - 3 || Tomko (2-7) || Lowry (9-7) || Saito (24) || 43,446 || 38-51|- style="background-color:#ffbbbb"| 90 || July 16 || @ Cubs || 3 - 2 || Hill (6-6) || Correia (1-5) || Howry (6) || 40,282 || 38-52|- style="background-color:#bbffbb"| 91 || July 17 || @ Cubs || 4 - 2 || Zito (7-9) || Marmol (2-1) || Hennessey (6) || 41,102 || 39-52|- style="background-color:#ffbbbb"| 92 || July 18 || @ Cubs || 12 - 1 || Zambrano (12-7) || Cain (3-11) || Gallagher (1) || 39,792 || 39-53|- style="background-color:#ffbbbb"| 93 || July 19 || @ Cubs || 9 - 8 || Lilly (10-4) || Morris (7-6) || Howry (7) || 40,198 || 39-54|- style="background-color:#bbffbb"| 94 || July 20 || @ Brewers || 8 - 4 || Lowry (10-7) || Villanueva (6-2) || || 43,121 || 40-54|- style="background-color:#bbffbb"| 95 || July 21 || @ Brewers || 8 - 0 || Lincecum (5-2) || Bush (8-8) || || 43,180 || 41-54|- style="background-color:#ffbbbb"| 96 || July 22 || @ Brewers || 7 - 5 || Vargas (8-2) || Zito (7-10) || Cordero (31) || 42,554 || 41-55|- style="background-color:#ffbbbb"| 97 || July 23 || Braves || 4 - 2 || Smoltz (10-5) || Cain (3-12) || Wickman (17) || 42,679 || 41-56|- style="background-color:#ffbbbb"| 98 || July 24 || Braves || 7 - 5 (13) || Moylan (4-1) || Sánchez (1-2) || Yates (2) || 43,072 || 41-57|- style="background-color:#bbffbb"| 99 || July 25 || Braves || 2 - 1 || Lowry (11-7) || James (8-8) || Hennessey (7) || 42,834 || 42-57|- style="background-color:#bbffbb"| 100 || July 26 || Braves || 4 - 2 || Lincecum (6-2) || Carlyle (5-3)|| Hennessey (8) || 42,366 || 43-57|- style="background-color:#bbffbb"| 101 || July 27 || Marlins || 12 - 10 || Chulk (4-2) || Pinto (2-4) || ||42,831 || 44-57|- style="background-color:#bbffbb"| 102 || July 28 || Marlins || 4 - 3 || Taschner (2-0) || Gregg (0-4) || || 43,001 || 45-57|- style="background-color:#ffbbbb"| 103 || July 29 || Marlins || 8 - 5 || Mitre (5-5) || Morris (7-7) || Gregg (21) || 42,965 || 45-58|- style="background-color:#bbffbb"| 104 || July 31 || @ Dodgers || 3 - 1 || Lowry (12-7) || Penny (13-2) || Hennessey (9) || 56,000 || 46-58|- style=""|- style="background-color:#ffbbbb"| 105 || August 1|| @ Dodgers || 6 - 8 || Broxton (4-2) || Messenger (1-3) || Saito (27) || 56,000 || 46-59|- style="background-color:#bbffbb"| 106 || August 2|| @ Dodgers || 4 - 2 || Zito (8-10) || Tomko (2-9) || Kline (2) || 56,000 || 47-59|- style="background-color:#ffbbbb"| 107 || August 3|| @ Padres || 3 - 4 (10) || Bell (5-3) || Taschner (2-1) || || 43,523 || 47-60|- style="background-color:#ffbbbb"| 108 || August 4|| @ Padres || 2 - 3 (12) || Meredith (4-5) || Messenger (1-4) || || 42,497 || 47-61|- style="background-color:#ffbbbb"| 109 || August 5|| @ Padres || 4 - 5 || Brocail (4-1) || Chulk (4-3) || Hoffman (29) || 42,438 || 47-62|- style="background-color:#bbffbb"| 110 || August 6 || Nationals || 3 - 2 (11) || Hennessey (2-3) || King (1-1) || || 43,052 || 48-62|- style="background-color:#ffbbbb"| 111 || August 7 || Nationals || 6 - 8 || Schroder (1-0) || Correia (1-6) || Cordero (24) || 43,154 || 48-63|- style="background-color:#bbffbb"| 112 || August 8 || Nationals || 5 - 0 || Cain (4-12) || Redding (1-3) || || 42,991 || 49-63|- style="background-color:#ffbbbb"| 113 || August 9 || Nationals || 1 - 3 || Hanrahan (2-0) || Misch (0-2) || Cordero (25) || 41,555 || 49-64|- style="background-color:#ffbbbb"| 114 || August 10 || Pirates || 8 - 7 || Grabow (2-1) || Chulk (4-4) || Capps (10) || 41,923 || 49-65|- style="background-color:#ffbbbb"| 115 || August 11 || Pirates || 13 - 3 || Armas (2-3) || Lincecum (6-3) || || 43,105 || 49-66|- style="background-color:#ffbbbb"| 116 || August 12 || Pirates || 5 - 0 || Gorzelanny (11-6) || Zito (8-11) || || 41,976 || 49-67|- style="background-color:#ffbbbb"| 117 || August 13 || @ Pirates || 3 - 1 || Maholm (8-14) || Cain (4-13) || || || 49-68|- style="background-color:#bbffbb"| 118 || August 13 || @ Pirates || 10 - 3 || Lowry (13-7) || Youman (2-4) || || 25,434 || 50-68|- style="background-color:#ffbbbb"| 119 || August 14 || @ Braves || 5 - 4 || Wickman (3-2) || Kline (0-2) || || 36,186 || 50-69|- style="background-color:#ffbbbb"| 120 || August 15 || @ Braves || 6 - 3 || Hudson (14-5) || Ortiz (2-3) || Wickman (20) || 33,841 || 50-70|- style="background-color:#bbffbb"| 121 || August 16 || @ Braves || 9 - 3 || Lincecum (7-3) || James (9-9) || || 36,419 || 51-70|- style="background-color:#bbffbb"| 122 || August 17 || @ Marlins || 3 - 0 || Zito (9-11) || Olsen (9-10) || Hennessey (10) || 25,079 || 52-70|- style="background-color:#bbffbb"| 123 || August 18 || @ Marlins || 4 - 3 || Cain (5-13) || VandenHurk (3-4) || Hennessey (11) || 42,817 || 53-70|- style="background-color:#bbffbb"| 124 || August 19 || @ Marlins || 6 - 5 || Chulk (5-4) || Gardner (3-4) || Hennessey (12) || 15,351 || 54-70|- style="background-color:#bbffbb"| 125 || August 20 || @ Marlins || 8 - 7 || Taschner (3-1) || Wolf (0-1) || Wilson (1) || 10,907 || 55-70|- style="background-color:#ffbbbb"| 126 || August 21 || Cubs || 5 - 1 || Eyre (1-1) || Lincecum (7-4) || || 41,242 || 55-71|- style="background-color:#ffbbbb"| 127 || August 22 || Cubs || 4 - 2 || Marmol (3-1) || Misch (0-3) || Dempster (20) || 39,548 || 55-72|- style="background-color:#bbffbb"| 128 || August 23 || Cubs || 4 - 1 || Cain (6-13) || Zambrano (14-10) || Hennessey (13) || 41,558 || 56-72|- style="background-color:#bbffbb"| 129 || August 24 || Brewers || 11 - 6 || Lowry (14-7) || Capuano (5-11) || || 37,583 || 57-72|- style="background-color:#bbffbb"| 130 || August 25 || Brewers || 6 - 2 || Correia (2-6) || Gallardo (5-4) || Wilson (2) || 39,069 || 58-72|- style="background-color:#bbffbb"| 131 || August 26 || Brewers || 5 - 4 || Kline (1-2) || Linebrink (4-5) || Hennessey (14) || 40,997 || 59-72|- style="background-color:#bbffbb"| 132 || August 27 || Rockies || 4 - 1 || Wilson (1-0) || Julio (0-5) || Hennessey (15) || 35,726 || 60-72|- style="background-color:#bbffbb"| 133 || August 28 || Rockies || 3 - 1 || Cain (7-13) ||  Morales (0-2) || Hennessey (16) || 37,844 || 61-72|- style="background-color:#ffbbbb"| 134 || August 29 || Rockies || 8 - 0 || Francis (14-6) || Lowry (14-8) || || 38,397 || 61-73|- style="background-color:#bbffbb"| 135 || August 31 || @ Nationals || 3 - 2 || Correia (3-6) || Redding (3-5) || Hennessey (17) || 25,169 || 62-73|- style=""|- style="background-color:#ffbbbb"| 136 || September 1 || @ Nationals || 4 - 1 || Hanrahan (4-2) || Sánchez (1-3) || Cordero (29) || 30,221 || 62-74|- style="background-color:#ffbbbb"| 137 || September 2 || @ Nationals || 2 - 1 || Cordero (3-3) || Wilson (1-1) || || 27,310 || 62-75|- style="background-color:#ffbbbb"| 138 || September 3 || @ Rockies || 7 - 4 || Francis (15-6) || Cain (7-14) || Corpas (13) || 30,168 || 62-76|- style="background-color:#ffbbbb"| 139 || September 4 || @ Rockies || 6 - 5 || Corpas (4-2) || Hennessey (2-4) || || 20,553 || 62-77|- style="background-color:#bbffbb"| 140 || September 5 || @ Rockies || 5 - 3 || Correia (4-6) || Jiménez (3-3) || Hennessey (18) || 22,157 || 63-77|- style="background-color:#bbffbb"| 141 || September 7 || Dodgers || 5 - 4 || Hennessey (3-4) || Broxton (4-3) || || 40,016 || 64-77|- style="background-color:#ffbbbb"| 142 || September 8 || Dodgers || 6 - 2 || Wells (7-8) || Zito (9-12) || || 42,228 || 64-78|- style="background-color:#bbffbb"| 143 || September 9 || Dodgers || 4 - 2 || Walker (1-0) || Beimel (4-2) || Hennessey (19) || 40,650 || 65-78|- style="background-color:#ffbbbb"| 144 || September 10 || D-backs || 5 - 3 || Peguero (1-0) || Hennessey (3-5) || Peña (2) || 33,498 || 65-79|- style="background-color:#bbffbb"| 145 || September 11 || D-backs || 2 - 1 || Walker (2-0) || Wickman (3-4) || Wilson (3) || 33,633 || 66-79|- style="background-color:#ffbbbb"| 146 || September 12 || D-backs || 9 - 4 || Webb (16-10) || Sánchez (1-4) || || 37,083 || 66-80|- style="background-color:#ffbbbb"| 147 || September 14 || @ Padres || 5 - 4 (10) || Hoffman (4-4) || Giese (0-1) || || 32,053 || 66-81|- style="background-color:#ffbbbb"| 148 || September 15 || @ Padres || 6 - 0 || Tomko (3-11) || Cain (7-15) || || 41,554 || 66-82|- style="background-color:#ffbbbb"| 149 || September 16 || @ Padres || 5 - 1 || Peavy (18-6) || Lincecum (7-5) || || 34,000 || 66-83|- style="background-color:#bbffbb"| 150 || September 17 || @ D-backs || 8 - 5 || Munter (1-0) || Peña (5-4) || Wilson (4) || 31,122 || 67-83|- style="background-color:#ffbbbb"| 151 || September 18 || @ D-backs || 5 - 0 || Owings (7-8) || Sánchez (1-5) || || 44,220 || 67-84|- style="background-color:#ffbbbb"| 152 || September 19 || @ D-backs || 6 - 4 || Cruz (6-1) || Zito (9-13) || Valverde (46) || 42,855 || 67-85|- style="background-color:#ffbbbb"| 153 || September 20 || Reds || 4 - 2 || Bailey (3-2) || Cain (7-16) || Weathers (32) || 35,019 || 67-86|- style="background-color:#ffbbbb"| 154 || September 21 || Reds || 9 - 8 (11) || McBeth (3-2) || Munter (1-1) || Weathers (33) || 35,502 || 67-87|- style="background-color:#bbffbb"| 155 || September 22 || Reds || 2 - 0 || Hennessey (4-5) || Bray (3-3) || Wilson (5) || 36,375 || 68-87|- style="background-color:#bbffbb"| 156 || September 23 || Reds || 5 - 4 || Messenger (2-4) || Harang (16-5) || Wilson (6) || 38,029 || 69-87|- style="background-color:#bbffbb"| 157 || September 24 || Padres || 9 - 4 || Zito (10-13) || Young (9-8) || || 35,650 || 70-87|- style="background-color:#ffbbbb"| 158 || September 25 || Padres || 6 - 4 || Thatcher (1-1) || Wilson (1-2) || Hoffman (41) || 35,524 || 70-88|- style="background-color:#ffbbbb"| 159 || September 26 || Padres || 11 - 3 || Peavy (19-6) || Misch (0-4) || || 42,926 || 70-89|- style="background-color:#ffbbbb"| 160 || September 28 || @ Dodgers || 8 - 3 || Wells (9-9) || Correia (4-7) || || 47,696 || 70-90|- style="background-color:#ffbbbb"| 161 || September 29 || @ Dodgers || 6 - 5 (10) || Saito (2-1) || Giese (0-2) || || 51,983 || 70-91|- style="background-color:#bbffbb"| 162 || September 30 || @ Dodgers || 11 - 2 || Zito (11-13) || Stults (1-4) || || 49,211 || 71-91|- style=""

text: Padres

text: || 7 - 0 ||

text: Peavy

text: (1-0) ||

text: Zito

text: (0-1) || || 42,773 || 0-1|- style="background-color:#ffbbbb"| 2 || April 4 ||

text: Padres

text: || 5 - 3 ||

text: Meredith

text: (1-0) ||

text: Hennessey

text: (0-1) ||

text: Hoffman

text: (1)|| 39,938 || 0-2|- style="background-color:#bbffbb"| 3 || April 5 ||

text: Padres

text: || 5 - 3 ||

text: Morris

text: (1-0) ||

text: Hensley

text: Benítez

text: (1) || 37,914 || 1-2|- style="background-color:#ffbbbb"| 4 || April 6 ||

text: Dodgers

text: || 2 - 1 ||

text: Penny

text: (1-0) ||

text: Lowry

text: (0-1) ||

text: Saito

text: (2) || 43,146 || 1-3|- style="background-color:#ffbbbb"| 5 || April 7 ||

text: Dodgers

text: || 4 - 1 ||

text: Lowe

text: (1-1) ||

text: Ortiz

text: (0-1) ||

text: Saito

text: (3) || 42,098 || 1-4|- style="background-color:#ffbbbb"| 6 || April 8 ||

text: Dodgers

text: || 10 - 4 ||

text: Wolf

text: (1-1) ||

text: Zito

text: (0-2) || || 39,343 || 1-5|- style="background-color:#ffbbbb"| 7 || April 9 || @

text: Padres

text: || 1 - 0 ||

text: Young

text: (1-0) ||

text: Cain

text: (0-1) ||

text: Hoffman

text: (2) || 31,388 || 1-6|- style="background-color:#bbffbb"| 8 || April 10 || @

text: Padres

text: || 6 - 5 ||

text: Morris

text: (2-0) ||

text: Hensley

text: (0-2) ||

text: Benítez

text: (2) || 28,878 || 2-6|- style="background-color:#ffbbbb"| 9 || April 11 || @

text: Padres

text: || 4 - 0  ||

text: Maddux

text: (1-1) ||

text: Lowry

text: (0-2) ||  || 31,568 || 2-7|- style="background-color:#bbffbb"| 10 || April 13 || @

text: Pirates

text: || 8 - 5 ||

text: Ortiz

text: (1-1) ||

text: Duke

text: (1-1)|| || 22,117 || 3-7|- style="background-color:#bbbbbb"| -- || April 14 || @

text: Pirates

text: || colspan=5|Postponed (rain) Rescheduled for August 13 || 3-7|- style="background-color:#bbbbbb"| -- || April 15 || @

text: Pirates

text: || colspan=5|Postponed (rain) Rescheduled for August 13 || 3-7|- style="background-color:#bbffbb"| 11 || April 16 || @

text: Rockies

text: || 8 - 0 ||

text: Zito

text: (1-2) ||

text: Francis

text: (1-1) || || 18,222 || 4-7|- style="background-color:#ffbbbb"| 12 || April 17 || @

text: Rockies

text: || 5 - 3 ||

text: Ramírez

text: (1-0) ||

text: Correia

text: (0-1) ||

text: Fuentes

text: (3) || 18,207 || 4-8|- style="background-color:#bbffbb"| 13 || April 18 ||

text: Cardinals

text: || 6 - 5 (12) ||

text: Sánchez

text: (1-0) ||

text: Hancock

text: (0-1) || || 40,532 || 5-8|- style="background-color:#bbffbb"| 14 || April 19 ||

text: Cardinals

text: || 6 - 2 ||

text: Lowry

text: (1-2) ||

text: Wells

text: (1-3) ||

text: Hennessey

text: (1) || 37,398 || 6-8|- style="background-color:#bbffbb"| 15 || April 20 ||

text: D-backs

text: || 4 - 2 ||

text: Ortiz

text: (2-1) ||

text: Davis

text: (1-2) ||

text: Benítez

text: (3) || 39,010 || 7-8|- style="background-color:#bbffbb"| 16 || April 21 ||

text: D-backs

text: || 1 - 0 ||

text: Zito

text: (2-2) ||

text: González

text: (1-2) ||

text: Benítez

text: (4) || 36,281 || 8-8|- style="background-color:#bbffbb"| 17 || April 22 ||

text: D-backs

text: || 2 - 1 ||

text: Cain

text: (1-1) ||

text: Petit

text: (0-1) || || 36,868 || 9-8|- style="background-color:#bbffbb"| 18 || April 24 || @

text: Dodgers

text: || 5 - 3 ||

text: Morris

text: (3-0) ||

text: Lowe

text: (2-3) ||

text: Benítez

text: (5) || 44,001 || 10-8|- style="background-color:#bbffbb"| 19 || April 25 || @

text: Dodgers

text: || 6 -4  ||

text: Lowry

text: (2-2) ||

text: Wolf

text: (3-2) ||

text: Benítez

text: (6) || 43,963|| 11-8|- style="background-color:#bbffbb"| 20 || April 26 || @

text: Dodgers

text: || 5 - 4 ||

text: Correia

text: (1-1) ||

text: Beimel

text: (1-1) ||

text: Benítez

text: (7)||56,000 || 12-8|- style="background-color:#ffbbbb"| 21 || April 27 || @

text: D-backs

text: || 3 - 2 ||

text: Davis

text: (2-2) ||

text: Zito

text: (2-3) ||

text: Valverde

text: (9) || 24,798 || 12-9|- style="background-color:#ffbbbb"| 22 || April 28 || @

text: D-backs

text: || 5 - 4 ||

text: Nippert

text: (1-0) ||

text: Chulk

text: (0-1) ||

text: Valverde

text: (10) || 32,147 || 12-10|- style="background-color:#ffbbbb"| 23 || April 29 || @

text: D-backs

text: || 5 - 4 ||

text: Medders

text: (1-0) ||

text: Morris

text: (3-1) ||

text: Lyon

text: (1) || 28,818 || 12-11|- style="background-color:#bbffbb"| 24 || April 30 ||

text: Rockies

text: || 9 - 5 ||

text: Lowry

text: (3-2) ||

text: Fogg

text: (1-2) || || 34,689 || 13-11|- style=""|- style="background-color:#ffbbbb"| 25 || May 1 ||

text: Rockies

text: || 9 - 7 ||

text: Árias

text: (1-0) ||

text: Ortiz

text: (2-2) ||

text: Fuentes

text: (5)|| 33,210|| 13-12|- style="background-color:#bbffbb"| 26 || May 2 ||

text: Rockies

text: || 5 - 3||

text: Hennessey

text: (1-1) ||

text: Francis

text: (1-4) || ||32,557 ||14-12|- style="background-color:#ffbbbb"| 27 || May 3 ||

text: Phillies

text: || 9 - 7 ||

text: Eaton

text: (3-2) ||

text: Cain

text: (1-2) ||

text: Myers

text: (1) || 33,466 || 14-13|- style="background-color:#bbffbb"| 28 || May 4 ||

text: Phillies

text: || 6 - 2 ||

text: Morris

text: (4-1) ||

text: Moyer

text: (3-2) || || 39,265 || 15-13|- style="background-color:#bbffbb"| 29 || May 5 ||

text: Phillies

text: || 9 - 4 ||

text: Lowry

text: (4-2) ||

text: Lieber

text: (1-1) || || 40,796 || 16-13|- style="background-color:#ffbbbb"| 30 || May 6 ||

text: Phillies

text: || 8 - 5 ||

text: Hamels

text: (4-1) ||

text: Chulk

text: (0-2) ||

text: Myers

text: (2) || 38,738 || 16-14|- style="background-color:#bbffbb"| 31 || May 7 ||

text: Mets

text: || 9 - 4 ||

text: Zito

text: (3-3) ||

text: Pérez

text: (3-3) || ||37,365 || 17-14|- style="background-color:#ffbbbb"| 32 || May 8 ||

text: Mets

text: || 4 - 1 ||

text: Glavine

text: (4-1) ||

text: Cain

text: (1-3) ||

text: Wagner

text: (7) || 39,455 || 17-15|- style="background-color:#ffbbbb"| 33 || May 9 ||

text: Mets

text: || 5 - 3 ||

text: Heilman

text: (3-2) ||

text: Benítez

text: (0-1) ||

text: Wagner

text: (8) || 41,832 || 17-16|- style="background-color:#ffbbbb"| 34 || May 10 || @

text: Rockies

text: || 5 - 3 ||

text: Cook

text: (2-1) ||

text: Lowry

text: (4-3) ||

text: Fuentes

text: (9) || 20,120 || 17-17|- style="background-color:#bbffbb"| 35 || May 11 || @

text: Rockies

text: || 8 - 3 ||

text: Lincecum

text: (1-0) ||

text: Fogg

text: (1-4) || || 26,162 || 18-17|- style="background-color:#ffbbbb"| 36 || May 12 || @

text: Rockies

text: || 6 - 2 ||

text: Francis

text: (2-4) ||

text: Zito

text: (3-4) || ||33,569 ||18-18|- style="background-color:#bbffbb"| 37 || May 13 || @

text: Rockies

text: || 15 - 2 ||

text: Cain

text: (2-3) ||

text: Buchholz

text: (1-2) || ||24,243 ||19-18|- style="background-color:#ffbbbb"| 38 || May 15 || @

text: Astros

text: || 6 - 5 (10) ||

text: Qualls

text: (4-1) ||

text: Sánchez

text: (1-1) || || 33,490 || 19-19|- style="background-color:#ffbbbb"| 39 || May 16 || @

text: Astros

text: || 2 - 1 ||

text: Sampson

text: (4-3) ||

text: Lowry

text: (4-4) ||

text: Wheeler

text: (9) || 33,533 || 19-20|- style="background-color:#bbffbb"| 40 || May 17 || @

text: Astros

text: || 2 - 1 (12) ||

text: Chulk

text: (1-2) ||

text: Lidge

text: (1-2) ||

text: Benítez

text: (8) || 36,815 || 20-20|- style="background-color:#ffbbbb"| 41 || May 18 || @

text: Athletics

text: || 15 - 3 ||

text: Gaudin

text: (3-1) ||

text: Zito

text: (3-5) || || 35,077 || 20-21|- style="background-color:#ffbbbb"| 42 || May 19 || @

text: Athletics

text: || 4 - 2 ||

text: Haren

text: (4-2) ||

text: Cain

text: (2-4) ||

text: Embree

text: (1) || 35,077 || 20-22|- style="background-color:#bbffbb"| 43 || May 20 || @

text: Athletics

text: || 4 - 1 ||

text: Morris

text: (5-1) ||

text: Kennedy

text: (1-3) || || 35,077 || 21-22|- style="background-color:#bbffbb"| 44 || May 21 ||

text: Astros

text: || 4 - 0 ||

text: Lowry

text: (5-4) ||

text: Sampson

text: (4-4) || || 35,768 || 22-22|- style="background-color:#bbffbb"| 45 || May 22 ||

text: Astros

text: || 4 - 2 ||

text: Lincecum

text: (2-0) ||

text: Oswalt

text: (6-3) ||

text: Benítez

text: (9) || 35,134 || 23-22|- style="background-color:#bbffbb"| 46 || May 23 ||

text: Astros

text: || 9 - 1 ||

text: Zito

text: (4-5) ||

text: Albers

text: (1-4) || || 35,521 || 24-22|- style="background-color:#ffbbbb"| 47 || May 25 ||

text: Rockies

text: || 5 - 3 ||

text: Affeldt

text: (2-1) ||

text: Benítez

text: (0-2) ||

text: Fuentes

text: (14) || 41,274 || 24-23|- style="background-color:#ffbbbb"| 48 || May 26 ||

text: Rockies

text: || 6 - 1 ||

text: Cook

text: (4-1) ||

text: Morris

text: (5-2) || || 38,212 || 24-24|- style="background-color:#ffbbbb"| 49 || May 27 ||

text: Rockies

text: || 6 - 4 (10) ||

text: Ramírez

text: (2-1) ||

text: Kline

text: (0-1) ||

text: Fuentes

text: (15) || 41,708 || 24-25|- style="background-color:#ffbbbb"| 50 || May 29 || @

text: Mets

text: || 5 - 4 (12) ||

text: Smith

text: (2-0) ||

text: Benítez

text: (0-3) || || 47,940 || 24-26|- style="background-color:#bbffbb"| 51 || May 30 || @

text: Mets

text: || 3 - 0 ||

text: Zito

text: (5-5) ||

text: Glavine

text: (5-3) ||

text: Hennessey

text: (2) || 41,395 || 25-26|- style="background-color:#ffbbbb"| 52 || May 31 || @

text: Mets

text: || 4 - 2 ||

text: Hernández

text: (3-1) ||

text: Cain

text: (2-5) ||

text: Wagner

text: (13) || 44,228 || 25-27|- style=""|- style="background-color:#bbffbb"| 53 || June 1 || @

text: Phillies

text: || 13 - 0 ||

text: Morris

text: (6-2) ||

text: Eaton

text: (5-4) || || 38,164 || 26-27|- style="background-color:#ffbbbb"| 54 || June 2 || @

text: Phillies

text: || 5 - 2 ||

text: Hamels

text: (8-2) ||

text: Lowry

text: (5-5) || || 45,153 || 26-28|- style="background-color:#ffbbbb"| 55 || June 3 || @

text: Phillies

text: || 9 - 8 ||

text: Alfonseca

text: (3-1) ||

text: Correia

text: (1-2) || || 39,293 || 26-29|- style="background-color:#bbffbb"| 56 || June 4 || @

text: Phillies

text: || 8 - 1 ||

text: Zito

text: (6-5) ||

text: Lieber

text: (2-4) || || 33,967 || 27-29|- style="background-color:#ffbbbb"| 57 || June 5 || @

text: D-backs

text: || 4 - 3 (10) ||

text: Lyon

text: (4-2) ||

text: Correia

text: (1-3) || || 25,848 || 27-30|- style="background-color:#ffbbbb"| 58 || June 6 || @

text: D-backs

text: || 1 - 0 ||

text: Webb

text: (6-3) ||

text: Morris

text: (6-3) ||

text: Valverde

text: (21) || 24,398 || 27-31|- style="background-color:#bbffbb"| 59 || June 7 || @

text: D-backs

text: || 5 - 4 (11) ||

text: Taschner

text: (1-0) ||

text: Medders

text: (1-2) ||

text: Kline

text: (1) || 21,984 || 28-31|- style="background-color:#ffbbbb"| 60 || June 8 ||

text: Athletics

text: || 5 - 3 (10) ||

text: Calero

text: (1-4) ||

text: Hennessey

text: (1-2) ||

text: Embree

text: (6) || 42,427 || 28-32|- style="background-color:#ffbbbb"| 61 || June 9 ||

text: Athletics

text: || 6 - 0 ||

text: Haren

text: (7-2) ||

text: Zito

text: (6-6) || || 42,526 || 28-33|- style="background-color:#ffbbbb"| 62 || June 10 ||

text: Athletics

text: || 2 - 0 ||

text: Casilla

text: (2-0) ||

text: Cain

text: (2-6) || || 42,345 || 28-34|- style="background-color:#bbffbb"| 63 || June 11 ||

text: Blue Jays

text: || 4 - 3 ||

text: Morris

text: (7-3) ||

text: Towers

text: (2-4) || || 38,030 || 29-34|- style="background-color:#bbffbb"| 64 || June 12 ||

text: Blue Jays

text: || 3 - 2 ||

text: Lowry

text: (6-5) ||

text: Burnett

text: (5-6) ||

text: Hennessey

text: (3) || 37,574 || 30-34|- style="background-color:#ffbbbb"| 65 || June 13 ||

text: Blue Jays

text: || 7 - 4 ||

text: McGowan

text: (3-2) ||

text: Lincecum

text: (2-1) ||

text: Accardo

text: (7) || 40,086 || 30-35|- style="background-color:#ffbbbb"| 66 || June 15 || @

text: Red Sox

text: || 10 - 2 ||

text: Tavárez

text: (4-4) ||

text: Zito

text: (6-7) || || 36,508 || 30-36|- style="background-color:#ffbbbb"| 67 || June 16 || @

text: Red Sox

text: || 1 - 0 ||

text: Matsuzaka

text: (8-5) ||

text: Cain

text: (2-7) ||

text: Papelbon

text: (16) || 36,381 || 30-37|- style="background-color:#ffbbbb"| 68 || June 17 || @

text: Red Sox

text: || 9 - 5 ||

text: Wakefield

text: (7-7) ||

text: Morris

text: (7-4) || || 36,137 || 30-38|- style="background-color:#ffbbbb"| 69 || June 18 || @

text: Brewers

text: || 5 - 4 ||

text: Gallardo

text: (1-0) ||

text: Lowry

text: (6-6) || || 41,631 || 30-39|- style="background-color:#ffbbbb"| 70 || June 19 || @

text: Brewers

text: || 6 - 2 ||

text: Sheets

text: (8-3) ||

text: Lincecum

text: (2-2) || || 35,238 || 30-40|- style="background-color:#ffbbbb"| 71 || June 20 || @

text: Brewers

text: || 7 - 5 ||

text: Vargas

text: (6-1) ||

text: Zito

text: Cordero

text: (27) || 35,151 || 30-41|- style="background-color:#ffbbbb"| 72 || June 22 ||

text: Yankees

text: || 7 - 3 ||

text: Vizcaíno

text: (4-1) ||

text: Cain

text: (2-8) ||

text: Rivera

text: (9) || 43,425 || 30-42|- style="background-color:#bbffbb"| 73 || June 23 ||

text: Yankees

text: ||  6 - 5 (13) ||

text: Chulk

text: (2-2) ||

text: Proctor

text: (1-4) || || 43,485 || 31-42|- style="background-color:#bbffbb"| 74 || June 24 ||

text: Yankees

text: || 7 - 2 ||

text: Lowry

text: (7-6) ||

text: Mussina

text: (3-5) || || 43,503 || 32-42|- style="background-color:#bbffbb"| 75 || June 25 ||

text: Padres

text: || 4 - 3 (11) ||

text: Chulk

text: (3-2) ||

text: Hampson

text: (2-2) || || 41,140 || 33-42|- style="background-color:#ffbbbb"| 76 || June 26 ||

text: Padres

text: || 3 - 2 (10) ||

text: Meredith

text: (3-5) ||

text: Messenger

text: (0-1) ||

text: Hoffman

text: (20) || 41,329 || 33-43|- style="background-color:#ffbbbb"| 77 || June 27 ||

text: Padres

text: || 4 - 2 ||

text: Maddux

text: (7-4) ||

text: Cain

text: (2-9) ||

text: Hoffman

text: (21) || 42,527 || 33-44|- style="background-color:#ffbbbb"| 78 || June 29 ||

text: D-backs

text: || 4 - 3 (10) ||

text: Peña

text: (3-1) ||

text: Hennessey

text: (1-3) ||

text: Valverde

text: (26) || 39,146 || 33-45|- style="background-color:#bbffbb"| 79 || June 30 ||

text: D-backs

text: || 4 - 1 ||

text: Lowry

text: (8-6) ||

text: Davis

text: (5-9) ||

text: Hennessey

text: (4) || 41,515 || 34-45|- style=""|- style="background-color:#bbffbb"| 80 || July 1 ||

text: D-backs

text: || 13 - 0 ||

text: Lincecum

text: (3-2) ||

text: Owings

text: (5-3) || || 42,154 || 35-45|- style="background-color:#ffbbbb"| 81 || July 3 || @

text: Reds

text: || 7 - 3 ||

text: Harang

text: (9-2) ||

text: Correia

text: (1-4) || || 37,299 || 35-46|- style="background-color:#bbffbb"| 82 || July 4 || @

text: Reds

text: || 9 - 5 ||

text: Cain

text: (3-9) ||

text: Belisle

text: (5-6) || || 24,092 || 36-46|- style="background-color:#ffbbbb"| 83 || July 5 || @

text: Reds

text: || 6 - 3 ||

text: Arroyo

text: (3-9) ||

text: Morris

text: (7-5) ||

text: Weathers

text: (16) || 30,080 || 36-47|- style="background-color:#bbffbb"| 84 || July 6 || @

text: Cardinals

text: || 4 - 3 ||

text: Lowry

text: (9-6) ||

text: Maroth

text: (5-3) ||

text: Messenger

text: (1) || 45,245 || 37-47|- style="background-color:#bbffbb"| 85 || July 7 || @

text: Cardinals

text: || 7 - 6 ||

text: Lincecum

text: (4-2) ||

text: Looper

text: (6-7) ||

text: Hennessey

text: (5) || 45,355 || 38-47|- style="background-color:#ffbbbb"| 86 || July 8 || @

text: Cardinals

text: || 7 - 0 ||

text: Wellemeyer

text: (3-2) ||

text: Zito

text: (6-9) || || 44,613 || 38-48|- style="background-color:#ffbbbb"| 87 || July 13 ||

text: Dodgers

text: || 9 - 1 ||

text: Billingsley

text: (6-0) ||

text: Cain

text: (3-10) || || 43,230 || 38-49|- style="background-color:#ffbbbb"| 88 || July 14 ||

text: Dodgers

text: || 8 - 7 (12) ||

text: Hendrickson

text: (4-4) ||

text: Misch

text: (0-1) ||

text: Seánez

text: (1) || 43,452 || 38-50|- style="background-color:#ffbbbb"| 89 || July 15 ||

text: Dodgers

text: || 5 - 3 ||

text: Tomko

text: (2-7) ||

text: Lowry

text: (9-7) ||

text: Saito

text: (24) || 43,446 || 38-51|- style="background-color:#ffbbbb"| 90 || July 16 || @

text: Cubs

text: || 3 - 2 ||

text: Hill

text: (6-6) ||

text: Correia

text: (1-5) ||

text: Howry

text: (6) || 40,282 || 38-52|- style="background-color:#bbffbb"| 91 || July 17 || @

text: Cubs

text: || 4 - 2 ||

text: Zito

text: (7-9) ||

text: Marmol

text: (2-1) ||

text: Hennessey

text: (6) || 41,102 || 39-52|- style="background-color:#ffbbbb"| 92 || July 18 || @

text: Cubs

text: || 12 - 1 ||

text: Zambrano

text: (12-7) ||

text: Cain

text: (3-11) ||

text: Gallagher

text: (1) || 39,792 || 39-53|- style="background-color:#ffbbbb"| 93 || July 19 || @

text: Cubs

text: || 9 - 8 ||

text: Lilly

text: (10-4) ||

text: Morris

text: (7-6) ||

text: Howry

text: (7) || 40,198 || 39-54|- style="background-color:#bbffbb"| 94 || July 20 || @

text: Brewers

text: || 8 - 4 ||

text: Lowry

text: (10-7) ||

text: Villanueva

text: (6-2) || || 43,121 || 40-54|- style="background-color:#bbffbb"| 95 || July 21 || @

text: Brewers

text: || 8 - 0 ||

text: Lincecum

text: (5-2) ||

text: Bush

text: (8-8) || || 43,180 || 41-54|- style="background-color:#ffbbbb"| 96 || July 22 || @

text: Brewers

text: || 7 - 5 ||

text: Vargas

text: (8-2) ||

text: Zito

text: (7-10) ||

text: Cordero

text: (31) || 42,554 || 41-55|- style="background-color:#ffbbbb"| 97 || July 23 ||

text: Braves

text: || 4 - 2 ||

text: Smoltz

text: (10-5) ||

text: Cain

text: (3-12) ||

text: Wickman

text: (17) || 42,679 || 41-56|- style="background-color:#ffbbbb"| 98 || July 24 ||

text: Braves

text: || 7 - 5 (13) ||

text: Moylan

text: (4-1) ||

text: Sánchez

text: (1-2) ||

text: Yates

text: (2) || 43,072 || 41-57|- style="background-color:#bbffbb"| 99 || July 25 ||

text: Braves

text: || 2 - 1 ||

text: Lowry

text: (11-7) ||

text: James

text: (8-8) ||

text: Hennessey

text: (7) || 42,834 || 42-57|- style="background-color:#bbffbb"| 100 || July 26 ||

text: Braves

text: || 4 - 2 ||

text: Lincecum

text: (6-2) ||

text: Carlyle

text: Hennessey

text: (8) || 42,366 || 43-57|- style="background-color:#bbffbb"| 101 || July 27 ||

text: Marlins

text: || 12 - 10 ||

text: Chulk

text: (4-2) ||

text: Pinto

text: (2-4) || ||42,831 || 44-57|- style="background-color:#bbffbb"| 102 || July 28 ||

text: Marlins

text: || 4 - 3 ||

text: Taschner

text: (2-0) ||

text: Gregg

text: (0-4) || || 43,001 || 45-57|- style="background-color:#ffbbbb"| 103 || July 29 ||

text: Marlins

text: || 8 - 5 ||

text: Mitre

text: (5-5) ||

text: Morris

text: (7-7) ||

text: Gregg

text: (21) || 42,965 || 45-58|- style="background-color:#bbffbb"| 104 || July 31 || @

text: Dodgers

text: || 3 - 1 ||

text: Lowry

text: (12-7) ||

text: Penny

text: (13-2) ||

text: Hennessey

text: (9) || 56,000 || 46-58|- style=""|- style="background-color:#ffbbbb"| 105 || August 1|| @

text: Dodgers

text: || 6 - 8 ||

text: Broxton

text: (4-2) ||

text: Messenger

text: (1-3) ||

text: Saito

text: (27) || 56,000 || 46-59|- style="background-color:#bbffbb"| 106 || August 2|| @

text: Dodgers

text: || 4 - 2 ||

text: Zito

text: (8-10) ||

text: Tomko

text: (2-9) ||

text: Kline

text: (2) || 56,000 || 47-59|- style="background-color:#ffbbbb"| 107 || August 3|| @

text: Padres

text: || 3 - 4 (10) ||

text: Bell

text: (5-3) ||

text: Taschner

text: (2-1) || || 43,523 || 47-60|- style="background-color:#ffbbbb"| 108 || August 4|| @

text: Padres

text: || 2 - 3 (12) ||

text: Meredith

text: (4-5) ||

text: Messenger

text: (1-4) || || 42,497 || 47-61|- style="background-color:#ffbbbb"| 109 || August 5|| @

text: Padres

text: || 4 - 5 ||

text: Brocail

text: (4-1) ||

text: Chulk

text: (4-3) ||

text: Hoffman

text: (29) || 42,438 || 47-62|- style="background-color:#bbffbb"| 110 || August 6 ||

text: Nationals

text: || 3 - 2 (11) ||

text: Hennessey

text: (2-3) ||

text: King

text: (1-1) || || 43,052 || 48-62|- style="background-color:#ffbbbb"| 111 || August 7 ||

text: Nationals

text: || 6 - 8 ||

text: Schroder

text: (1-0) ||

text: Correia

text: (1-6) ||

text: Cordero

text: (24) || 43,154 || 48-63|- style="background-color:#bbffbb"| 112 || August 8 ||

text: Nationals

text: || 5 - 0 ||

text: Cain

text: (4-12) ||

text: Redding

text: (1-3) || || 42,991 || 49-63|- style="background-color:#ffbbbb"| 113 || August 9 ||

text: Nationals

text: || 1 - 3 ||

text: Hanrahan

text: (2-0) ||

text: Misch

text: (0-2) ||

text: Cordero

text: (25) || 41,555 || 49-64|- style="background-color:#ffbbbb"| 114 || August 10 ||

text: Pirates

text: || 8 - 7 ||

text: Grabow

text: (2-1) ||

text: Chulk

text: (4-4) ||

text: Capps

text: (10) || 41,923 || 49-65|- style="background-color:#ffbbbb"| 115 || August 11 ||

text: Pirates

text: || 13 - 3 ||

text: Armas

text: (2-3) ||

text: Lincecum

text: (6-3) || || 43,105 || 49-66|- style="background-color:#ffbbbb"| 116 || August 12 ||

text: Pirates

text: || 5 - 0 ||

text: Gorzelanny

text: (11-6) ||

text: Zito

text: (8-11) || || 41,976 || 49-67|- style="background-color:#ffbbbb"| 117 || August 13 || @

text: Pirates

text: || 3 - 1 ||

text: Maholm

text: (8-14) ||

text: Cain

text: (4-13) || || || 49-68|- style="background-color:#bbffbb"| 118 || August 13 || @

text: Pirates

text: || 10 - 3 ||

text: Lowry

text: (13-7) ||

text: Youman

text: (2-4) || || 25,434 || 50-68|- style="background-color:#ffbbbb"| 119 || August 14 || @

text: Braves

text: || 5 - 4 ||

text: Wickman

text: (3-2) ||

text: Kline

text: (0-2) || || 36,186 || 50-69|- style="background-color:#ffbbbb"| 120 || August 15 || @

text: Braves

text: || 6 - 3 ||

text: Hudson

text: (14-5) ||

text: Ortiz

text: (2-3) ||

text: Wickman

text: (20) || 33,841 || 50-70|- style="background-color:#bbffbb"| 121 || August 16 || @

text: Braves

text: || 9 - 3 ||

text: Lincecum

text: (7-3) ||

text: James

text: (9-9) || || 36,419 || 51-70|- style="background-color:#bbffbb"| 122 || August 17 || @

text: Marlins

text: || 3 - 0 ||

text: Zito

text: (9-11) ||

text: Olsen

text: (9-10) ||

text: Hennessey

text: (10) || 25,079 || 52-70|- style="background-color:#bbffbb"| 123 || August 18 || @

text: Marlins

text: || 4 - 3 ||

text: Cain

text: (5-13) ||

text: VandenHurk

text: (3-4) ||

text: Hennessey

text: (11) || 42,817 || 53-70|- style="background-color:#bbffbb"| 124 || August 19 || @

text: Marlins

text: || 6 - 5 ||

text: Chulk

text: (5-4) ||

text: Gardner

text: (3-4) ||

text: Hennessey

text: (12) || 15,351 || 54-70|- style="background-color:#bbffbb"| 125 || August 20 || @

text: Marlins

text: || 8 - 7 ||

text: Taschner

text: (3-1) ||

text: Wolf

text: (0-1) ||

text: Wilson

text: (1) || 10,907 || 55-70|- style="background-color:#ffbbbb"| 126 || August 21 ||

text: Cubs

text: || 5 - 1 ||

text: Eyre

text: (1-1) ||

text: Lincecum

text: (7-4) || || 41,242 || 55-71|- style="background-color:#ffbbbb"| 127 || August 22 ||

text: Cubs

text: || 4 - 2 ||

text: Marmol

text: (3-1) ||

text: Misch

text: (0-3) ||

text: Dempster

text: (20) || 39,548 || 55-72|- style="background-color:#bbffbb"| 128 || August 23 ||

text: Cubs

text: || 4 - 1 ||

text: Cain

text: (6-13) ||

text: Zambrano

text: (14-10) ||

text: Hennessey

text: (13) || 41,558 || 56-72|- style="background-color:#bbffbb"| 129 || August 24 ||

text: Brewers

text: || 11 - 6 ||

text: Lowry

text: (14-7) ||

text: Capuano

text: (5-11) || || 37,583 || 57-72|- style="background-color:#bbffbb"| 130 || August 25 ||

text: Brewers

text: || 6 - 2 ||

text: Correia

text: (2-6) ||

text: Gallardo

text: (5-4) ||

text: Wilson

text: (2) || 39,069 || 58-72|- style="background-color:#bbffbb"| 131 || August 26 ||

text: Brewers

text: || 5 - 4 ||

text: Kline

text: (1-2) ||

text: Linebrink

text: (4-5) ||

text: Hennessey

text: (14) || 40,997 || 59-72|- style="background-color:#bbffbb"| 132 || August 27 ||

text: Rockies

text: || 4 - 1 ||

text: Wilson

text: (1-0) ||

text: Julio

text: (0-5) ||

text: Hennessey

text: (15) || 35,726 || 60-72|- style="background-color:#bbffbb"| 133 || August 28 ||

text: Rockies

text: || 3 - 1 ||

text: Cain

text: (7-13) ||

text: Morales

text: (0-2) ||

text: Hennessey

text: (16) || 37,844 || 61-72|- style="background-color:#ffbbbb"| 134 || August 29 ||

text: Rockies

text: || 8 - 0 ||

text: Francis

text: (14-6) ||

text: Lowry

text: (14-8) || || 38,397 || 61-73|- style="background-color:#bbffbb"| 135 || August 31 || @

text: Nationals

text: || 3 - 2 ||

text: Correia

text: (3-6) ||

text: Redding

text: (3-5) ||

text: Hennessey

text: (17) || 25,169 || 62-73|- style=""|- style="background-color:#ffbbbb"| 136 || September 1 || @

text: Nationals

text: || 4 - 1 ||

text: Hanrahan

text: (4-2) ||

text: Sánchez

text: (1-3) ||

text: Cordero

text: (29) || 30,221 || 62-74|- style="background-color:#ffbbbb"| 137 || September 2 || @

text: Nationals

text: || 2 - 1 ||

text: Cordero

text: (3-3) ||

text: Wilson

text: (1-1) || || 27,310 || 62-75|- style="background-color:#ffbbbb"| 138 || September 3 || @

text: Rockies

text: || 7 - 4 ||

text: Francis

text: (15-6) ||

text: Cain

text: (7-14) ||

text: Corpas

text: (13) || 30,168 || 62-76|- style="background-color:#ffbbbb"| 139 || September 4 || @

text: Rockies

text: || 6 - 5 ||

text: Corpas

text: (4-2) ||

text: Hennessey

text: (2-4) || || 20,553 || 62-77|- style="background-color:#bbffbb"| 140 || September 5 || @

text: Rockies

text: || 5 - 3 ||

text: Correia

text: (4-6) ||

text: Jiménez

text: (3-3) ||

text: Hennessey

text: (18) || 22,157 || 63-77|- style="background-color:#bbffbb"| 141 || September 7 ||

text: Dodgers

text: || 5 - 4 ||

text: Hennessey

text: (3-4) ||

text: Broxton

text: (4-3) || || 40,016 || 64-77|- style="background-color:#ffbbbb"| 142 || September 8 ||

text: Dodgers

text: || 6 - 2 ||

text: Wells

text: (7-8) ||

text: Zito

text: (9-12) || || 42,228 || 64-78|- style="background-color:#bbffbb"| 143 || September 9 ||

text: Dodgers

text: || 4 - 2 ||

text: Walker

text: (1-0) ||

text: Beimel

text: (4-2) ||

text: Hennessey

text: (19) || 40,650 || 65-78|- style="background-color:#ffbbbb"| 144 || September 10 ||

text: D-backs

text: || 5 - 3 ||

text: Peguero

text: (1-0) ||

text: Hennessey

text: (3-5) ||

text: Peña

text: (2) || 33,498 || 65-79|- style="background-color:#bbffbb"| 145 || September 11 ||

text: D-backs

text: || 2 - 1 ||

text: Walker

text: (2-0) ||

text: Wickman

text: (3-4) ||

text: Wilson

text: (3) || 33,633 || 66-79|- style="background-color:#ffbbbb"| 146 || September 12 ||

text: D-backs

text: || 9 - 4 ||

text: Webb

text: (16-10) ||

text: Sánchez

text: (1-4) || || 37,083 || 66-80|- style="background-color:#ffbbbb"| 147 || September 14 || @

text: Padres

text: || 5 - 4 (10) ||

text: Hoffman

text: (4-4) ||

text: Giese

text: (0-1) || || 32,053 || 66-81|- style="background-color:#ffbbbb"| 148 || September 15 || @

text: Padres

text: || 6 - 0 ||

text: Tomko

text: (3-11) ||

text: Cain

text: (7-15) || || 41,554 || 66-82|- style="background-color:#ffbbbb"| 149 || September 16 || @

text: Padres

text: || 5 - 1 ||

text: Peavy

text: (18-6) ||

text: Lincecum

text: (7-5) || || 34,000 || 66-83|- style="background-color:#bbffbb"| 150 || September 17 || @

text: D-backs

text: || 8 - 5 ||

text: Munter

text: (1-0) ||

text: Peña

text: (5-4) ||

text: Wilson

text: (4) || 31,122 || 67-83|- style="background-color:#ffbbbb"| 151 || September 18 || @

text: D-backs

text: || 5 - 0 ||

text: Owings

text: (7-8) ||

text: Sánchez

text: (1-5) || || 44,220 || 67-84|- style="background-color:#ffbbbb"| 152 || September 19 || @

text: D-backs

text: || 6 - 4 ||

text: Cruz

text: (6-1) ||

text: Zito

text: (9-13) ||

text: Valverde

text: (46) || 42,855 || 67-85|- style="background-color:#ffbbbb"| 153 || September 20 ||

text: Reds

text: || 4 - 2 ||

text: Bailey

text: (3-2) ||

text: Cain

text: (7-16) ||

text: Weathers

text: (32) || 35,019 || 67-86|- style="background-color:#ffbbbb"| 154 || September 21 ||

text: Reds

text: || 9 - 8 (11) ||

text: McBeth

text: (3-2) ||

text: Munter

text: (1-1) ||

text: Weathers

text: (33) || 35,502 || 67-87|- style="background-color:#bbffbb"| 155 || September 22 ||

text: Reds

text: || 2 - 0 ||

text: Hennessey

text: (4-5) ||

text: Bray

text: (3-3) ||

text: Wilson

text: (5) || 36,375 || 68-87|- style="background-color:#bbffbb"| 156 || September 23 ||

text: Reds

text: || 5 - 4 ||

text: Messenger

text: (2-4) ||

text: Harang

text: (16-5) ||

text: Wilson

text: (6) || 38,029 || 69-87|- style="background-color:#bbffbb"| 157 || September 24 ||

text: Padres

text: || 9 - 4 ||

text: Zito

text: (10-13) ||

text: Young

text: (9-8) || || 35,650 || 70-87|- style="background-color:#ffbbbb"| 158 || September 25 ||

text: Padres

text: || 6 - 4 ||

text: Thatcher

text: (1-1) ||

text: Wilson

text: (1-2) ||

text: Hoffman

text: (41) || 35,524 || 70-88|- style="background-color:#ffbbbb"| 159 || September 26 ||

text: Padres

text: || 11 - 3 ||

text: Peavy

text: (19-6) ||

text: Misch

text: (0-4) || || 42,926 || 70-89|- style="background-color:#ffbbbb"| 160 || September 28 || @

text: Dodgers

text: || 8 - 3 ||

text: Wells

text: (9-9) ||

text: Correia

text: (4-7) || || 47,696 || 70-90|- style="background-color:#ffbbbb"| 161 || September 29 || @

text: Dodgers

text: || 6 - 5 (10) ||

text: Saito

text: (2-1) ||

text: Giese

text: (0-2) || || 51,983 || 70-91|- style="background-color:#bbffbb"| 162 || September 30 || @

text: Dodgers

text: || 11 - 2 ||

text: Zito

text: (11-13) ||

text: Stults

text: (1-4) || || 49,211 || 71-91|- style=""

text: Few studies into the chemical nature of turacoverdin have been performed to date. Research by R.E. Moreau in the 1950s showed it to be less soluble in basic solutions than its chemical cousin turacin. While originally thought to contain little copper by its discoverer, who instead believed it to be iron-based, later spectroscopic analysis demonstrated high copper (and low iron) content in pigment from the green feathers of the Knysna turaco and the Schalow's turaco. Moreau also demonstrated that the green coloration of turacos might actually be due to the combined effect of two different turacoverdin pigments that differ slightly in polarity.

text: Few studies into the chemical nature of turacoverdin have been performed to date. Research by R.E. Moreau in the 1950s showed it to be less

text: soluble

text: in

text: basic

text: solution

text: s than its chemical cousin turacin. While originally thought to contain little copper by its discoverer, who instead believed it to be

text: iron

text: -based, later

text: spectroscopic

text: analysis demonstrated high copper (and low iron) content in pigment from the green feathers of the

text: Knysna turaco

text: and the

text: Schalow's turaco

text: . Moreau also demonstrated that the green coloration of turacos might actually be due to the combined effect of two different turacoverdin pigments that differ slightly in

text: polarity

text: See Adiemus: Colores.

text: See

text: Adiemus: Colores

text: Pigments are used for coloring paint, ink, plastic, fabric, cosmetics, food, and other materials. Most pigments used in manufacturing and the visual arts are dry colorants, usually ground into a fine powder. This powder is added to a binder (or vehicle), a relatively neutral or colorless material that suspends the pigment and gives the paint its adhesion.

text: Pigments are used for coloring

text: paint

text: ink

text: plastic

text: fabric

text: cosmetics

text: food

text: , and other materials. Most pigments used in

text: manufacturing

text: and the

text: visual arts

text: are dry

text: colorant

text: s, usually ground into a fine

text: powder

text: . This powder is added to a

text: binder

text: (or vehicle), a relatively neutral or colorless material that

text: suspends

text: the pigment and gives the paint its

text: adhesion

text: Dominant white horses are born with pink skin and a white coat, which they retain throughout their lives. Although the term "dominant white" is typically associated with a pure white coat, such horses may be all-white, near-white, partially white, or exhibit an irregular spotting pattern similar to that of sabino horses. The amount of white hair depends on which mutation of W is involved. Non-white areas of skin and hair are most commonly seen along the dorsal midline of the horse, known as the topline, and are especially common in the mane and on the ears. They may also have interspersed specks or spots of non-white skin and hair. In addition, the hooves are most often white, but may have striping if there is pigmented skin on the coronary band just above the hoof. In some cases, foals born with residual non-white hair may lose some or all of this pigment with age, without the help of the gray factor. Dominant white spotting does not affect eye color, and most dominant white horses have brown eyes. The pink skin is devoid of pigment cells (melanocytes), and appears pink from the underlying network of capillaries. White hair is rooted in unpigmented pink skin. There are many other genetic factors that produce white, near-white, and off-white coat colors in horses, some of which are visually very similar to dominant white.

text: Dominant white horses are born with pink skin and a white coat, which they retain throughout their lives. Although the term "dominant white" is typically associated with a pure white coat, such horses may be all-white, near-white, partially white, or exhibit an irregular spotting pattern similar to that of

text: sabino horse

text: s. The amount of white hair depends on which mutation of W is involved. Non-white areas of skin and hair are most commonly seen along the

text: dorsal midline

text: of the horse, known as the

text: topline

text: , and are especially common in the

text: mane

text: and on the ears. They may also have interspersed specks or spots of non-white skin and hair. In addition, the

text: hooves

text: are most often white, but may have striping if there is pigmented skin on the

text: coronary band

text: just above the hoof. In some cases,

text: foal

text: s born with residual non-white hair may lose some or all of this pigment with age, without the help of the

text: gray

text: factor. Dominant white spotting does not affect eye color, and most dominant white horses have brown eyes. The pink skin is devoid of pigment cells (

text: melanocyte

text: s), and appears pink from the underlying network of

text: capillaries

text: . White hair is rooted in unpigmented pink skin. There are many other

text: genetic

text: factors that produce white, near-white, and off-white coat colors in horses, some of which are visually very similar to dominant white.

text: Within the ontology of color there are various competing types of theories. One way of posing their relationship is in terms of whether they posit colors as sui generis properties (properties of a special kind that can't be reduced to more basic properties or constellations of such). This divides color primitivism from color reductionism. A primitivism about color is any theory that explains colors as unreducible properties. A reductionism is the opposite view, that colors are identical to or reducible to other properties. Typically a reductionist view of color explains colors as an object's disposition to cause certain effects in perceivers or the very dispositional power itself (this sort of view is often dubbed "relationalism", since it defines colors in terms of effects on perceivers, but it also often called simply dispositionalism - various forms of course exist). An example of a notable theorist that defends this kind of view is the philosopher Jonathan Cohen.

text: In biological (and biomimetic) uses, colours produced other than with pigments or dyes are called structural coloration. Microstructures, often multilayered, are used to produce bright but sometimes non-iridescent colours: quite elaborate arrangements are needed to avoid reflecting different colours in different directions. Structural coloration has been understood in general terms since Robert Hooke's 1665 book Micrographia, where Hooke correctly noted that since the iridescence of a peacock's feather was lost when it was plunged into water, but reappeared when it was returned to the air, pigments could not be responsible. It was later found that iridescence in the peacock is due to a complex photonic crystal.

text: In biological (and

text: biomimetic

text: ) uses, colours produced other than with

text: pigment

text: s or

text: dye

text: s are called

text: structural coloration

text: . Microstructures, often multilayered, are used to produce bright but sometimes non-iridescent colours: quite elaborate arrangements are needed to avoid reflecting different colours in different directions. Structural coloration has been understood in general terms since

text: Robert Hooke

text: 's 1665 book

text: Micrographia

text: , where Hooke correctly noted that since the iridescence of a

text: peacock

text: 's feather was lost when it was plunged into water, but reappeared when it was returned to the air, pigments could not be responsible. It was later found that iridescence in the peacock is due to a complex photonic crystal.

text: The wavelength of the light emitted, and thus its color, depends on the band gap energy of the materials forming the p-n junction. In silicon or germanium diodes, the electrons and holes usually recombine by a non-radiative transition, which produces no optical emission, because these are indirect band gap materials. The materials used for the LED have a direct band gap with energies corresponding to near-infrared, visible, or near-ultraviolet light.

text: The

text: wavelength

text: of the light emitted, and thus its color, depends on the

text: band gap

text: energy of the materials forming the p-n junction. In

text: silicon

text: or

text: germanium

text: diodes, the electrons and holes usually recombine by a non-radiative transition, which produces no optical emission, because these are

text: indirect band gap

text: materials. The materials used for the LED have a

text: direct band gap

text: with energies corresponding to near-infrared, visible, or near-ultraviolet light.

text: Inspired by Newton’s theory of music-color correspondences, the French Jesuit Louis-Bertrand Castel designed a color harpsichord (clavecin oculaire) with colored strips of paper which rose above the cover of the harpsichord whenever a particular key was hit (Campen 2007, Franssen 1991). Renowned masters like Telemann and Rameau were actively engaged in the development of a clavecins oculaire. The invention of the gas light in the nineteenth century created new technical possibilities for the color organ. In England between 1869 and 1873, the inventor Frederick Kastner developed an organ that he named a Pyrophone. The British inventor Alexander Rimington, a professor in fine arts in London, documented the phrase ‘Colour-Organ’ for the first time in a patent application in 1893. Inspired by Newton’s idea that music and color are both grounded in vibrations, he divided the color spectrum into intervals analogous to musical octaves and attributed colors to notes. The same notes in a higher octave produced the same color tone but then in a lighter value (Peacock 1988). Around the turn of the century, concerts with light and musical instruments were given quite regularly. As most technical problems had been conquered, the psychological questions concerning the effects of these performances came to the fore. The Russian composer Alexander Scriabin was particularly interested in the psychological effects on the audience when they experienced sound and color simultaneously. His theory was that when the correct color was perceived with the correct sound, ‘a powerful psychological resonator for the listener’ would be created. His most famous synesthetic work, which is still performed today, is Prometheus, Poem of Fire. On the score of Prometheus, he wrote next to the instruments separate parts for the tastiere per luce, the color organ (Campen 2007, Galeyev 2001, Gleich 1963).

text: Inspired by Newton’s theory of music-color correspondences, the French Jesuit Louis-Bertrand Castel designed a color harpsichord (clavecin oculaire) with colored strips of paper which rose above the cover of the harpsichord whenever a particular key was hit (Campen 2007, Franssen 1991). Renowned masters like

text: Telemann

text: and

text: Rameau

text: were actively engaged in the development of a clavecins oculaire. The invention of the gas light in the nineteenth century created new technical possibilities for the color organ. In England between 1869 and 1873, the inventor Frederick Kastner developed an organ that he named a Pyrophone. The British inventor Alexander Rimington, a professor in fine arts in London, documented the phrase ‘Colour-Organ’ for the first time in a patent application in 1893. Inspired by Newton’s idea that music and color are both grounded in vibrations, he divided the color spectrum into intervals analogous to musical octaves and attributed colors to notes. The same notes in a higher octave produced the same color tone but then in a lighter value (Peacock 1988). Around the turn of the century, concerts with light and musical instruments were given quite regularly. As most technical problems had been conquered, the psychological questions concerning the effects of these performances came to the fore. The Russian composer

text: Alexander Scriabin

text: was particularly interested in the psychological effects on the audience when they experienced sound and color simultaneously. His theory was that when the correct color was perceived with the correct sound, ‘a powerful psychological resonator for the listener’ would be created. His most famous synesthetic work, which is still performed today, is Prometheus, Poem of Fire. On the score of Prometheus, he wrote next to the instruments separate parts for the tastiere per luce, the color organ (Campen 2007, Galeyev 2001, Gleich 1963).

text: Mate attractiveness to the newly born queens coincides with pigmentation. The more brightly colored queens were more likely to lay more eggs than their paler counterparts. As the newborn queens begin to age, pigmentation increased as well as the number of courtships from male stingless bees. In the case of an encounter between the physogastric queen and the newborn “virgin” queens, the larger queen may initiate buccal contact with the smaller queen. A rapidly growing virgin queen may incite her own imprisonment in specialized prison chambers. In one case, an abnormally large and pigmented virgin queen became overly agitated in her prison cell. The release of this queen prompted the interruption of brood cell construction, though the physogastric queen maintained her normal routine. Within a couple days, the virgin queen was found dead and was being carried off by workers.

text: Mate attractiveness to the newly born queens coincides with pigmentation. The more brightly colored queens were more likely to lay more eggs than their paler counterparts. As the newborn queens begin to age,

text: pigmentation

text: increased as well as the number of courtships from male stingless bees. In the case of an encounter between the physogastric queen and the newborn “virgin” queens, the larger queen may initiate

text: buccal

text: contact with the smaller queen. A rapidly growing virgin queen may incite her own imprisonment in specialized prison chambers. In one case, an abnormally large and pigmented virgin queen became overly agitated in her prison cell. The release of this queen prompted the interruption of brood cell construction, though the physogastric queen maintained her normal routine. Within a couple days, the virgin queen was found dead and was being carried off by workers.

text: Maund has also extended his argument particularly with reference of color. Color he sees as a dispositional property, not an objective one, an approach which allows for the facts of difference between person and person, and also leaves aside the claim that external objects are colored. Colors are therefore "virtual properties", in that it is as if things possessed them; although the naïve view attributes them to objects, they are intrinsic, non-relational inner experiences.

text: The main drawback of histograms for classification is that the representation is dependent of the color of the object being studied, ignoring its shape and texture. Color histograms can potentially be identical for two images with different object content which happens to share color information. Conversely, without spatial or shape information, similar objects of different color may be indistinguishable based solely on color histogram comparisons. There is no way to distinguish a red and white cup from a red and white plate.  Put another way, histogram-based algorithms have no concept of a generic 'cup', and a model of a red and white cup is no use when given an otherwise identical blue and white cup. Another problem is that color histograms have high sensitivity to noisy interference such as lighting intensity changes and quantization errors. High dimensionality (bins) color histograms are also another issue. Some color histogram feature spaces often occupy more than one hundred dimensions.

text: In Cubello, using the pointer function of the Wii Remote players aim and launch colored cubes at a three-dimensional object called a Cubello, itself consisting of many colored cubes, that floats and rotates in empty space. The object of the game is to strip the Cubello of cubes by matching four or more of the same color in order to reveal the Cubello's inner core.

text: "New gamboge" is synthetic yellow pigment. The pigment has a color similar to that of natural gamboge.

text: "New gamboge" is synthetic yellow

text: pigment

text: . The pigment has a color similar to that of natural gamboge.

text: Players first must roll a special die that has four colors on it and two stars.  If a color is rolled, the player must knock out a brick of that color, out of the wall.  If the player rolls a star, the player may knock out any brick they wish (with a few exceptions, see below).  Players take turns using a motorized hammer known as the "Rammer Hammer", in an attempt to knock out the specified brick out of the wall, without making the wall collapse, OR making the "Knockout" brick fall off the wall.  If a player is successful in knocking out the brick, without the wall collapsing, or the "Knockout" brick falling off the wall, they must put the brick back, on the top of the wall.  Each player thereafter must accomplish the same task.

text: The color of purple varieties is due to various anthocyanin pigments. The pigments are water-soluble, and have been proposed as possible food coloring agents.

text: The color of purple varieties is due to various

text: anthocyanin

text: pigments. The pigments are water-soluble, and have been proposed as possible

text: food coloring

text: agents.

text: In the evolution of mammals, segments of color vision were lost, then for a few species of primates, regained by gene duplication. Eutherian mammals other than primates (for example, dogs, mammalian farm animals) generally have less-effective two-receptor (dichromatic) color perception systems, which distinguish blue, green, and yellow—but cannot distinguish oranges and reds. There is some evidence that a few mammals, such as cats, have redeveloped the ability to distinguish longer wavelength colors, in at least a limited way, via one-amino-acid mutations in opsin genes.  The adaptation to see reds is particularly important for primate mammals, since it leads to identification of fruits, and also newly sprouting reddish leaves, which are particularly nutritious.

text: In the evolution of mammals, segments of color vision were lost, then for a few species of primates, regained by

text: gene duplication

text: Eutherian

text: mammals other than primates (for example, dogs, mammalian farm animals) generally have less-effective two-receptor (

text: dichromat

text: ic) color perception systems, which distinguish blue, green, and yellow—but cannot distinguish oranges and reds. There is some evidence that a few mammals, such as cats, have redeveloped the ability to distinguish longer wavelength colors, in at least a limited way, via one-amino-acid mutations in opsin genes.  The adaptation to see reds is particularly important for primate mammals, since it leads to identification of fruits, and also newly sprouting reddish leaves, which are particularly nutritious.

text: T. mauritianus does not display an abundance of visual sexual dimorphism concerning their size or coloration. Outside of the breeding season, the male reproductive organs are held in the abdominal cavity. During the breeding season, the genitals appear and become darker in color. The males possess a gular sac that lies at the base of the jaw. This gland releases secretions that help males mark their territories and attract females during the mating season. The gular sac is present in some females, depending on which region Africa the bat is found. In areas such as Nigeria and Mozambique, the sac is absent in females, in West Africa it is reduced to a vestigial pouch, and in the Sudan it is fully present in both sexes, just more developed in males. In females, the genitals are located on the ventral side of the abdomen and are marked by two pigmented patches. During the mating season, they become deeply pigmented and extend out, becoming more prominent before and just after mating.

text: T. mauritianus does not display an abundance of visual

text: sexual dimorphism

text: concerning their size or coloration. Outside of the breeding season, the male reproductive organs are held in the abdominal cavity. During the breeding season, the genitals appear and become darker in color. The males possess a

text: gular sac

text: that lies at the base of the jaw. This gland releases secretions that help males mark their territories and attract females during the mating season. The gular sac is present in some females, depending on which region Africa the bat is found. In areas such as

text: Nigeria

text: and

text: Mozambique

text: , the sac is absent in females, in West Africa it is reduced to a

text: vestigial

text: pouch, and in the

text: Sudan

text: it is fully present in both sexes, just more developed in males. In females, the

text: genitals

text: are located on the ventral side of the abdomen and are marked by two pigmented patches. During the mating season, they become deeply pigmented and extend out, becoming more prominent before and just after mating.

text: Color temperature can be indicated in kelvins or mireds (1 million divided by the color temperature in kelvins). The color temperature of a light source is the temperature of a black body that has the same chromaticity (i.e. color) of the light source. A notional temperature, the correlated color temperature, the temperature of a black body which emits light of a hue which to human color perception most closely matches the light from the lamp, is assigned.

text: Color temperature

text: can be indicated in

text: kelvin

text: s or

text: mired

text: s (1 million divided by the color temperature in kelvins). The color temperature of a light source is the temperature of a

text: black body

text: that has the same

text: chromaticity

text: (i.e. color) of the light source. A notional temperature, the

text: correlated color temperature

text: , the temperature of a black body which emits light of a hue which to human color perception most closely matches the light from the lamp, is assigned.

text: The following approximations assume a display device at gamma 2.2, using the sRGB color space. The further a display device deviates from these standards, the less accurate these swatches will be. Swatches are based on the average measurements of several lots of single-pigment watercolor paints, converted from Lab color space to sRGB color space for viewing on a computer display. Different brands and lots of the same pigment may vary in color. Furthermore, pigments have inherently complex reflectance spectra that will render their color appearance greatly different depending on the spectrum of the source illumination; a property called metamerism. Averaged measurements of pigment samples will only yield approximations of their true appearance under a specific source of illumination. Computer display systems use a technique called chromatic adaptation transforms to emulate the correlated color temperature of illumination sources, and cannot perfectly reproduce the intricate spectral combinations originally seen. In many cases, the perceived color of a pigment falls outside of the gamut of computer displays and a method called gamut mapping is used to approximate the true appearance. Gamut mapping trades off any one of lightness, hue, or saturation accuracy to render the color on screen, depending on the priority chosen in the conversion's ICC rendering intent.

text: The following approximations assume a display device at

text: gamma

text: 2.2, using the

text: sRGB color space

text: . The further a display device deviates from these standards, the less accurate these swatches will be. Swatches are based on the average measurements of several lots of single-pigment watercolor paints, converted from

text: Lab color space

text: to

text: sRGB color space

text: for viewing on a computer display. Different brands and lots of the same pigment may vary in color. Furthermore, pigments have inherently complex

text: reflectance

text: spectra that will render their color appearance greatly different depending on the spectrum of the

text: source illumination

text: ; a property called

text: metamerism

text: . Averaged measurements of pigment samples will only yield approximations of their true appearance under a specific source of illumination. Computer display systems use a technique called chromatic adaptation transforms to emulate the

text: correlated color temperature

text: of illumination sources, and cannot perfectly reproduce the intricate spectral combinations originally seen. In many cases, the perceived color of a pigment falls outside of the

text: gamut

text: of computer displays and a method called

text: gamut mapping

text: is used to approximate the true appearance. Gamut mapping trades off any one of

text: lightness

text: hue

text: , or

text: saturation

text: accuracy to render the color on screen, depending on the priority chosen in the conversion's

text: ICC

text: rendering intent

text: Xerox art (sometimes, more generically, called copy art, electrostatic art, or xerography) is an art form that began in the 1960s. Prints are created by putting objects on the glass, or platen, of a copying machine and by pressing "start" to produce an image.  If the object is not flat, or the cover does not totally cover the object, or the object is moved, the resulting image is distorted in some way.  The curvature of the object, the amount of light that reaches the image surface, and the distance of the cover from the glass, all affect the final image. Often, with proper manipulation, rather ghostly images can be made. Basic techniques include: Direct Imaging, the copying of items placed on the platen (normal copy); Still Life Collage, a variation of direct imaging with items placed on the platen in a collage format focused on what is in the foreground/background; Overprinting, the technique of constructing layers of information, one over the previous, by printing onto the same sheet of paper more than once; Copy Overlay, a technique of working with or interfering in the color separation mechanism of a color copier; Colorizing, vary color density and hue by adjusting the exposure and color balance controls; Degeneration is a copy of a copy degrading the image as successive copies are made; Copy Motion, the creation of effects by moving an item or image on the platen during the scanning process. Each machine also creates different effects.

text: Xerox art (sometimes, more generically, called copy art, electrostatic art, or xerography) is an art form that began in the 1960s. Prints are created by putting objects on the

text: glass

text: , or

text: platen

text: , of a

text: copying machine

text: and by pressing "start" to produce an image.  If the object is not flat, or the cover does not totally cover the object, or the object is moved, the resulting image is distorted in some way.  The curvature of the object, the amount of light that reaches the image surface, and the distance of the cover from the glass, all affect the final image. Often, with proper manipulation, rather ghostly images can be made. Basic techniques include: Direct Imaging, the copying of items placed on the platen (normal copy); Still Life Collage, a variation of direct imaging with items placed on the platen in a collage format focused on what is in the foreground/background; Overprinting, the technique of constructing layers of information, one over the previous, by printing onto the same sheet of paper more than once; Copy Overlay, a technique of working with or interfering in the color separation mechanism of a color copier; Colorizing, vary color density and hue by adjusting the exposure and color balance controls; Degeneration is a copy of a copy degrading the image as successive copies are made; Copy Motion, the creation of effects by moving an item or image on the platen during the scanning process. Each machine also creates different effects.

text: The idea of optimal colors was introduced by the Baltic German Chemist Wilhelm Ostwald. Erwin Schrödinger showed in his 1919 article Theorie der Pigmente von größter Leuchtkraft (Theory of Pigments with Highest Luminosity) that the most-saturated colors that can be created with a given total reflectivity are generated by surfaces having either zero or full reflectance at any given wavelength, and the reflectivity spectrum must have at most two transitions between zero and full. Thus two types of "optimal color" spectra are possible: Either the transition goes from zero at both ends of the spectrum to one in the middle, as shown in the image at right, or it goes from one at the ends to zero in the middle. The first type produces colors that are similar to the spectral colors and follow roughly the horseshoe-shaped portion of the CIE xy chromaticity diagram, but are generally less saturated. The second type produces colors that are similar to (but generally less saturated than) the colors on the straight line in the CIE xy chromaticity diagram, leading to magenta-like colors. Schrödinger's work was further developed by David MacAdam and Siegfried Rösch. MacAdam was the first person to calculate precise coordinates of selected points on the boundary of the optimal color solid in the CIE 1931 color space for lightness levels from Y = 10 to 95 in steps of 10 units. This enabled him to draw the optimal color solid at an acceptable degree of precision. Because of his achievement, the boundary of the optimal color solid is called the MacAdam limit. On modern computers, it is possible to calculate an optimal color solid with great precision in seconds or minutes. The MacAdam limit, on which the most saturated (or "optimal") colors reside, shows that colors that are near monochromatic colors can only be achieved at very low luminance levels, except for yellows, because a mixture of the wavelengths from the long straight-line portion of the spectral locus between green and red will combine to make a color very close to a monochromatic yellow.

text: The idea of optimal colors was introduced by the Baltic German Chemist

text: Wilhelm Ostwald

text: Erwin Schrödinger

text: showed in his 1919 article Theorie der Pigmente von größter Leuchtkraft (Theory of Pigments with Highest Luminosity) that the most-saturated colors that can be created with a given total reflectivity are generated by surfaces having either zero or full reflectance at any given wavelength, and the reflectivity spectrum must have at most two transitions between zero and full. Thus two types of "optimal color" spectra are possible: Either the transition goes from zero at both ends of the spectrum to one in the middle, as shown in the image at right, or it goes from one at the ends to zero in the middle. The first type produces colors that are similar to the spectral colors and follow roughly the horseshoe-shaped portion of the

text: CIE xy chromaticity diagram

text: , but are generally less saturated. The second type produces colors that are similar to (but generally less saturated than) the colors on the straight line in the

text: CIE xy chromaticity diagram

text: , leading to magenta-like colors. Schrödinger's work was further developed by

text: David MacAdam

text: and

text: Siegfried Rösch

text: . MacAdam was the first person to calculate precise coordinates of selected points on the boundary of the optimal color solid in the CIE 1931 color space for lightness levels from Y = 10 to 95 in steps of 10 units. This enabled him to draw the optimal color solid at an acceptable degree of precision. Because of his achievement, the boundary of the optimal color solid is called the MacAdam limit. On modern computers, it is possible to calculate an optimal color solid with great precision in seconds or minutes. The MacAdam limit, on which the most saturated (or "optimal") colors reside, shows that colors that are near monochromatic colors can only be achieved at very low luminance levels, except for yellows, because a mixture of the wavelengths from the long straight-line portion of the spectral locus between green and red will combine to make a color very close to a monochromatic yellow.

text: The color of wine is one of the most easily recognizable characteristics of wines. Color is also an element in wine tasting since heavy wines generally have a deeper color. The accessory traditionally used to judge the wine color was the tastevin, a shallow cup allowing one to see the color of the liquid in the dim light of a cellar. The color is an element in the classification of wines.

text: The color of wine is one of the most easily recognizable characteristics of

text: wine

text: s.

text: Color

text: is also an element in

text: wine tasting

text: since heavy wines generally have a deeper color. The

text: accessory

text: traditionally used to judge the wine color was the

text: tastevin

text: , a shallow cup allowing one to see the color of the liquid in the dim light of a

text: cellar

text: . The color is an element in the

text: classification of wine

text: s.

text: Probably the first written report of the phenomenon dates from 1693 when Christiaan Huygens noted such a pitch in the (wide-band) sound from a fountain repeatedly reflected against the steps of a large stone staircase in the garden of the castle of Chantilly in France. In an open field, one might be able to hear a gliding RP when a plane flies over . In music, the phenomenon is sometimes deliberately created by electronic means (delay and add) to superimpose a pitch or coloration effect on the original music (see Flanging). In room acoustics and sound recording, however, the phenomenon often causes an unwanted coloration of the original sound. See Repetition Pitch for various sound demos.

text: Probably the first written report of the phenomenon dates from 1693 when

text: Christiaan Huygens

text: noted such a pitch in the (wide-band) sound from a fountain repeatedly reflected against the steps of a large stone staircase in the garden of the castle of Chantilly in France. In an open field, one might be able to hear a gliding RP when a plane flies over . In music, the phenomenon is sometimes deliberately created by electronic means (delay and add) to superimpose a pitch or coloration effect on the original music (see

text: Flanging

text: ). In room acoustics and sound recording, however, the phenomenon often causes an unwanted coloration of the original sound. See Repetition Pitch for various sound demos.

text: This color is also called color wheel yellow.  It is at precisely 60 degrees on the HSV color wheel, also known as the RGB color wheel (Image of RGB color wheel:).  Its complementary color is blue.

text: This color is also called color wheel yellow.  It is at precisely 60 degrees on the

text: HSV color wheel

text: , also known as the RGB color wheel (

text: Image of RGB color wheel:

text: ).  Its

text: complementary color

text: is

text: blue

text: series! style="color:#FFFFFF; background-color: #A780F6" | No. in

text: All place-able objects can also be colored prior to placement using a slider-based GUI. The player can manipulate the hue, saturation, and value of the color to produce a very large spectrum of colors. There are 14 slots where new colors can be saved for later use within the same world. Colors can be changed after blocks have been placed, using the middle mouse button while hovering over a block on the "Color Picker" GUI.

text: |Region!style="background-color:#E9E9E9" align=center|Saenuri!style="background-color:#E9E9E9" align=center|+/-!style="background-color:#E9E9E9" align=center|DUP   !style="background-color: #E9E9E9"  align=center|+/-!style="background-color:#E9E9E9" align=center|  UPP  !style="background-color: #E9E9E9"  align=center|+/-!style="background-color:#E9E9E9" align=center|  LFP  !style="background-color: #E9E9E9"  align=center|+/-!style="background-color:#E9E9E9" align=center|  CKP  !style="background-color: #E9E9E9"  align=center|+/-!style="background-color:#E9E9E9" align=center|Indep.!style="background-color: #E9E9E9"  align=center|+/-!style="background-color:#E9E9E9" align=center|Total!style="background-color: #E9E9E9"  align=center|+/- |-| Seoul| align=center|16 !style="background-color:#E9E9E9" align=center|- 24| align=center|30 !style="background-color:#E9E9E9" align=center|+ 21| align=center|2!style="background-color:#E9E9E9" align=center|+ 2| align=center|0 !style="background-color:#E9E9E9" align=center|-| align=center|0 !style="background-color:#E9E9E9"  align=center|- 1| align=center|0 !style="background-color:#E9E9E9"  align=center|-| align=center|48!style="background-color:#E9E9E9"  align=center|-|-| Busan| align=center|16 !style="background-color:#E9E9E9"  align=center|+ 4| align=center|2 !style="background-color:#E9E9E9"  align=center|+ 1| align=center|0!style="background-color:#E9E9E9"  align=center|- | align=center|0 !style="background-color:#E9E9E9"  align=center|- | align=center|0 !style="background-color:#E9E9E9"  align=center|-| align=center|0 !style="background-color:#E9E9E9" align=center|- 5 | align=center|18!style="background-color:#E9E9E9" align=center|- |-| Incheon| align=center|6 !style="background-color:#E9E9E9"  align=center|- 3| align=center|6 !style="background-color:#E9E9E9"  align=center|+ 4| align=center|0!style="background-color:#E9E9E9"  align=center|- | align=center|0 !style="background-color:#E9E9E9"  align=center|- | align=center|0 !style="background-color:#E9E9E9"  align=center|-| align=center|0 !style="background-color:#E9E9E9"  align=center|- 1| align=center|12!style="background-color:#E9E9E9"  align=center|-|-| Daegu| align=center|12 !style="background-color:#E9E9E9"  align=center|+ 1 | align=center|0 !style="background-color:#E9E9E9"  align=center|- | align=center|0!style="background-color:#E9E9E9"  align=center |- | align=center|0 !style="background-color:#E9E9E9"  align=center |- | align=center|0 !style="background-color:#E9E9E9"  align=center|-| align=center|0 !style="background-color:#E9E9E9"  align=center|- 1| align=center|12!style="background-color:#E9E9E9"  align=center|-|-| Gwangju| align=center|0 !style="background-color:#E9E9E9"  align=center |-  | align=center|6 !style="background-color:#E9E9E9"  align=center|- 1| align=center|1!style="background-color:#E9E9E9" align=center|+ 1| align=center|0 !style="background-color:#E9E9E9" align=center |- | align=center|0 !style="background-color:#E9E9E9"  align=center|-| align=center|1 !style="background-color:#E9E9E9"  align=center |- | align=center|8!style="background-color:#E9E9E9"  align=center|-|-| Daejeon| align=center|3 !style="background-color:#E9E9E9"  align=center |+ 3  | align=center|3 !style="background-color:#E9E9E9"  align=center|+ 2| align=center|0!style="background-color:#E9E9E9"  align=center|-| align=center|0 !style="background-color:#E9E9E9"  align=center |- 5 | align=center|0 !style="background-color:#E9E9E9"  align=center|-| align=center|0 !style="background-color:#E9E9E9"  align=center |- | align=center|6!style="background-color:#E9E9E9"  align=center|-|-| Ulsan| align=center|6 !style="background-color:#E9E9E9"  align=center |+ 1  | align=center|0 !style="background-color:#E9E9E9"  align=center|-| align=center|0!style="background-color:#E9E9E9"  align=center|-| align=center|0 !style="background-color:#E9E9E9"  align=center |-| align=center|0 !style="background-color:#E9E9E9"  align=center|-| align=center|0 !style="background-color:#E9E9E9"  align=center |- 1 | align=center|6!style="background-color:#E9E9E9"  align=center|-|-| Gangwon| align=center|9 !style="background-color:#E9E9E9"  align=center |+ 6  | align=center|0 !style="background-color:#E9E9E9"  align=center|- 2| align=center|0!style="background-color:#E9E9E9"  align=center|-| align=center|0 !style="background-color:#E9E9E9"  align=center |- | align=center|0 !style="background-color:#E9E9E9"  align=center|-| align=center|0 !style="background-color:#E9E9E9"  align=center |- 3 | align=center|9!style="background-color:#E9E9E9"  align=center|+ 1|-| Gyeonggi| align=center|21 !style="background-color:#E9E9E9"  align=center |- 12  | align=center|29 !style="background-color:#E9E9E9"  align=center|+ 12| align=center|2!style="background-color:#E9E9E9"  align=center|+ 2| align=center|0 !style="background-color:#E9E9E9"  align=center |- | align=center|0 !style="background-color:#E9E9E9"  align=center|-| align=center|0 !style="background-color:#E9E9E9"  align=center |- 1 | align=center|52!style="background-color:#E9E9E9"  align=center|+ 1|-| South Gyeongsang| align=center|14 !style="background-color:#E9E9E9" align=center |+ 1  | align=center|1 !style="background-color:#E9E9E9" align=center|-| align=center|0!style="background-color:#E9E9E9"  align=center|- 2| align=center|0 !style="background-color:#E9E9E9"  align=center |- | align=center|0 !style="background-color:#E9E9E9"  align=center|-| align=center|1 !style="background-color:#E9E9E9"  align=center |- | align=center|16!style="background-color:#E9E9E9"  align=center|- 1|-| North Gyeongsang| align=center|15 !style="background-color:#E9E9E9"  align=center |+ 5  | align=center|0 !style="background-color:#E9E9E9"  align=center|-| align=center|0!style="background-color:#E9E9E9"  align=center|-| align=center|0 !style="background-color:#E9E9E9"  align=center |- | align=center|0 !style="background-color:#E9E9E9"  align=center|-| align=center|0 !style="background-color:#E9E9E9"  align=center |- 5 | align=center|15!style="background-color:#E9E9E9"  align=center|-|-| South Jeolla| align=center|0 !style="background-color:#E9E9E9"  align=center |-  | align=center|10 !style="background-color:#E9E9E9"  align=center|+ 1| align=center|1!style="background-color:#E9E9E9"  align=center|+ 1| align=center|0 !style="background-color:#E9E9E9"  align=center |- | align=center|0 !style="background-color:#E9E9E9"  align=center|-| align=center|0 !style="background-color:#E9E9E9"  align=center |- 3 | align=center|11!style="background-color:#E9E9E9"  align=center|- 1|-| North Jeolla| align=center|0 !style="background-color:#E9E9E9"  align=center |-  | align=center|9 !style="background-color:#E9E9E9"  align=center|-| align=center|1!style="background-color:#E9E9E9"  align=center|+ 1| align=center|0 !style="background-color:#E9E9E9"  align=center |- | align=center|0 !style="background-color:#E9E9E9"  align=center|-| align=center|1 !style="background-color:#E9E9E9"  align=center |- 1 | align=center|11!style="background-color:#E9E9E9" align=center|-|-| South Chungcheong| align=center|4 !style="background-color:#E9E9E9"  align=center |+ 4  | align=center|3 !style="background-color:#E9E9E9"  align=center|+ 2| align=center|0!style="background-color:#E9E9E9"  align=center|-| align=center|3 !style="background-color:#E9E9E9"  align=center |- 5 | align=center|0 !style="background-color:#E9E9E9"  align=center|-| align=center|0 !style="background-color:#E9E9E9"  align=center |- 1 | align=center|10!style="background-color:#E9E9E9"  align=center|-|-| North Chungcheong| align=center|5 !style="background-color:#E9E9E9"  align=center |+ 4  | align=center|3 !style="background-color:#E9E9E9"  align=center|- 3| align=center|0!style="background-color:#E9E9E9" align=center|-| align=center|0 !style="background-color:#E9E9E9"  align=center |- 1 | align=center|0 !style="background-color:#E9E9E9"  align=center|-| align=center|0 !style="background-color:#E9E9E9"  align=center |- | align=center|8!style="background-color:#E9E9E9" align=center|-|-| Jeju| align=center|0!style="background-color:#E9E9E9"  align=center |-  | align=center|3 !style="background-color:#E9E9E9"  align=center|-| align=center|0!style="background-color:#E9E9E9"  align=center|-| align=center|0 !style="background-color:#E9E9E9" align=center |- | align=center|0 !style="background-color:#E9E9E9"  align=center|-| align=center|0 !style="background-color:#E9E9E9"  align=center |- | align=center|3!style="background-color:#E9E9E9"  align=center|-|-| Sejong| align=center|0!style="background-color:#E9E9E9" align=center |-  | align=center|1 !style="background-color:#E9E9E9" align=center|+ 1| align=center|0!style="background-color:#E9E9E9" align=center|-| align=center|0 !style="background-color:#E9E9E9"  align=center |- | align=center|0 !style="background-color:#E9E9E9"  align=center|-| align=center|0 !style="background-color:#E9E9E9"  align=center |- | align=center|1!style="background-color:#E9E9E9" align=center|+ 1|-| Proportional<br>representation| align=center|25 !style="background-color:#E9E9E9"  align=center |- 5  | align=center|21 !style="background-color:#E9E9E9"  align=center|+ 6| align=center|6!style="background-color:#E9E9E9"  align=center|+ 3| align=center|2 !style="background-color:#E9E9E9"  align=center |- 2 | align=center|0 !style="background-color:#E9E9E9"  align=center|- 2| align=center|0 !style="background-color:#E9E9E9"  align=center |- | align=center|54!style="background-color:#E9E9E9"  align=center|-|-!style="background-color:#E9E9E9" align=left|Total!style="background-color:#E9E9E9"  align=center|152 !style="background-color:#E9E9E9"  align=center |- 15  !style="background-color:#E9E9E9"  align=center|127 !style="background-color:#E9E9E9"  align=center|+ 46!style="background-color:#E9E9E9"  align=center|13!style="background-color:#E9E9E9"  align=center|+ 8!style="background-color:#E9E9E9"  align=center|5 !style="background-color:#E9E9E9"  align=center |- 13 !style="background-color:#E9E9E9"  align=center|0 !style="background-color:#E9E9E9"  align=center |- 3 !style="background-color:#E9E9E9"  align=center|3 !style="background-color:#E9E9E9"  align=center |- 22 !style="background-color:#E9E9E9"  align=center|300!style="background-color:#E9E9E9"  align=center|+ 1|}

text: |Region!style="background-color:#E9E9E9" align=center|

text: Saenuri

text: !style="background-color:#E9E9E9" align=center|+/-!style="background-color:#E9E9E9" align=center|

text: DUP

text: !style="background-color: #E9E9E9"  align=center|+/-!style="background-color:#E9E9E9" align=center|

text: UPP

text: LFP

text: CKP

text: !style="background-color: #E9E9E9"  align=center|+/-!style="background-color:#E9E9E9" align=center|Indep.!style="background-color: #E9E9E9"  align=center|+/-!style="background-color:#E9E9E9" align=center|Total!style="background-color: #E9E9E9"  align=center|+/- |-|

text: Seoul

text: | align=center|16 !style="background-color:#E9E9E9" align=center|- 24| align=center|30 !style="background-color:#E9E9E9" align=center|+ 21| align=center|2!style="background-color:#E9E9E9" align=center|+ 2| align=center|0 !style="background-color:#E9E9E9" align=center|-| align=center|0 !style="background-color:#E9E9E9"  align=center|- 1| align=center|0 !style="background-color:#E9E9E9"  align=center|-| align=center|48!style="background-color:#E9E9E9"  align=center|-|-|

text: Busan

text: | align=center|16 !style="background-color:#E9E9E9"  align=center|+ 4| align=center|2 !style="background-color:#E9E9E9"  align=center|+ 1| align=center|0!style="background-color:#E9E9E9"  align=center|- | align=center|0 !style="background-color:#E9E9E9"  align=center|- | align=center|0 !style="background-color:#E9E9E9"  align=center|-| align=center|0 !style="background-color:#E9E9E9" align=center|- 5 | align=center|18!style="background-color:#E9E9E9" align=center|- |-|

text: Incheon

text: | align=center|6 !style="background-color:#E9E9E9"  align=center|- 3| align=center|6 !style="background-color:#E9E9E9"  align=center|+ 4| align=center|0!style="background-color:#E9E9E9"  align=center|- | align=center|0 !style="background-color:#E9E9E9"  align=center|- | align=center|0 !style="background-color:#E9E9E9"  align=center|-| align=center|0 !style="background-color:#E9E9E9"  align=center|- 1| align=center|12!style="background-color:#E9E9E9"  align=center|-|-|

text: Daegu

text: | align=center|12 !style="background-color:#E9E9E9"  align=center|+ 1 | align=center|0 !style="background-color:#E9E9E9"  align=center|- | align=center|0!style="background-color:#E9E9E9"  align=center |- | align=center|0 !style="background-color:#E9E9E9"  align=center |- | align=center|0 !style="background-color:#E9E9E9"  align=center|-| align=center|0 !style="background-color:#E9E9E9"  align=center|- 1| align=center|12!style="background-color:#E9E9E9"  align=center|-|-|

text: Gwangju

text: | align=center|0 !style="background-color:#E9E9E9"  align=center |-  | align=center|6 !style="background-color:#E9E9E9"  align=center|- 1| align=center|1!style="background-color:#E9E9E9" align=center|+ 1| align=center|0 !style="background-color:#E9E9E9" align=center |- | align=center|0 !style="background-color:#E9E9E9"  align=center|-| align=center|1 !style="background-color:#E9E9E9"  align=center |- | align=center|8!style="background-color:#E9E9E9"  align=center|-|-|

text: Daejeon

text: | align=center|3 !style="background-color:#E9E9E9"  align=center |+ 3  | align=center|3 !style="background-color:#E9E9E9"  align=center|+ 2| align=center|0!style="background-color:#E9E9E9"  align=center|-| align=center|0 !style="background-color:#E9E9E9"  align=center |- 5 | align=center|0 !style="background-color:#E9E9E9"  align=center|-| align=center|0 !style="background-color:#E9E9E9"  align=center |- | align=center|6!style="background-color:#E9E9E9"  align=center|-|-|

text: Ulsan

text: | align=center|6 !style="background-color:#E9E9E9"  align=center |+ 1  | align=center|0 !style="background-color:#E9E9E9"  align=center|-| align=center|0!style="background-color:#E9E9E9"  align=center|-| align=center|0 !style="background-color:#E9E9E9"  align=center |-| align=center|0 !style="background-color:#E9E9E9"  align=center|-| align=center|0 !style="background-color:#E9E9E9"  align=center |- 1 | align=center|6!style="background-color:#E9E9E9"  align=center|-|-|

text: Gangwon

text: | align=center|9 !style="background-color:#E9E9E9"  align=center |+ 6  | align=center|0 !style="background-color:#E9E9E9"  align=center|- 2| align=center|0!style="background-color:#E9E9E9"  align=center|-| align=center|0 !style="background-color:#E9E9E9"  align=center |- | align=center|0 !style="background-color:#E9E9E9"  align=center|-| align=center|0 !style="background-color:#E9E9E9"  align=center |- 3 | align=center|9!style="background-color:#E9E9E9"  align=center|+ 1|-|

text: Gyeonggi

text: | align=center|21 !style="background-color:#E9E9E9"  align=center |- 12  | align=center|29 !style="background-color:#E9E9E9"  align=center|+ 12| align=center|2!style="background-color:#E9E9E9"  align=center|+ 2| align=center|0 !style="background-color:#E9E9E9"  align=center |- | align=center|0 !style="background-color:#E9E9E9"  align=center|-| align=center|0 !style="background-color:#E9E9E9"  align=center |- 1 | align=center|52!style="background-color:#E9E9E9"  align=center|+ 1|-|

text: South Gyeongsang

text: | align=center|14 !style="background-color:#E9E9E9" align=center |+ 1  | align=center|1 !style="background-color:#E9E9E9" align=center|-| align=center|0!style="background-color:#E9E9E9"  align=center|- 2| align=center|0 !style="background-color:#E9E9E9"  align=center |- | align=center|0 !style="background-color:#E9E9E9"  align=center|-| align=center|1 !style="background-color:#E9E9E9"  align=center |- | align=center|16!style="background-color:#E9E9E9"  align=center|- 1|-|

text: North Gyeongsang

text: | align=center|15 !style="background-color:#E9E9E9"  align=center |+ 5  | align=center|0 !style="background-color:#E9E9E9"  align=center|-| align=center|0!style="background-color:#E9E9E9"  align=center|-| align=center|0 !style="background-color:#E9E9E9"  align=center |- | align=center|0 !style="background-color:#E9E9E9"  align=center|-| align=center|0 !style="background-color:#E9E9E9"  align=center |- 5 | align=center|15!style="background-color:#E9E9E9"  align=center|-|-|

text: South Jeolla

text: | align=center|0 !style="background-color:#E9E9E9"  align=center |-  | align=center|10 !style="background-color:#E9E9E9"  align=center|+ 1| align=center|1!style="background-color:#E9E9E9"  align=center|+ 1| align=center|0 !style="background-color:#E9E9E9"  align=center |- | align=center|0 !style="background-color:#E9E9E9"  align=center|-| align=center|0 !style="background-color:#E9E9E9"  align=center |- 3 | align=center|11!style="background-color:#E9E9E9"  align=center|- 1|-|

text: North Jeolla

text: | align=center|0 !style="background-color:#E9E9E9"  align=center |-  | align=center|9 !style="background-color:#E9E9E9"  align=center|-| align=center|1!style="background-color:#E9E9E9"  align=center|+ 1| align=center|0 !style="background-color:#E9E9E9"  align=center |- | align=center|0 !style="background-color:#E9E9E9"  align=center|-| align=center|1 !style="background-color:#E9E9E9"  align=center |- 1 | align=center|11!style="background-color:#E9E9E9" align=center|-|-|

text: South Chungcheong

text: | align=center|4 !style="background-color:#E9E9E9"  align=center |+ 4  | align=center|3 !style="background-color:#E9E9E9"  align=center|+ 2| align=center|0!style="background-color:#E9E9E9"  align=center|-| align=center|3 !style="background-color:#E9E9E9"  align=center |- 5 | align=center|0 !style="background-color:#E9E9E9"  align=center|-| align=center|0 !style="background-color:#E9E9E9"  align=center |- 1 | align=center|10!style="background-color:#E9E9E9"  align=center|-|-|

text: North Chungcheong

text: | align=center|5 !style="background-color:#E9E9E9"  align=center |+ 4  | align=center|3 !style="background-color:#E9E9E9"  align=center|- 3| align=center|0!style="background-color:#E9E9E9" align=center|-| align=center|0 !style="background-color:#E9E9E9"  align=center |- 1 | align=center|0 !style="background-color:#E9E9E9"  align=center|-| align=center|0 !style="background-color:#E9E9E9"  align=center |- | align=center|8!style="background-color:#E9E9E9" align=center|-|-|

text: Jeju

text: | align=center|0!style="background-color:#E9E9E9"  align=center |-  | align=center|3 !style="background-color:#E9E9E9"  align=center|-| align=center|0!style="background-color:#E9E9E9"  align=center|-| align=center|0 !style="background-color:#E9E9E9" align=center |- | align=center|0 !style="background-color:#E9E9E9"  align=center|-| align=center|0 !style="background-color:#E9E9E9"  align=center |- | align=center|3!style="background-color:#E9E9E9"  align=center|-|-|

text: Sejong

text: To truly calculate the color of an object under another illuminant, not merely how it will be perceived, it is necessary to record multi-spectral or hyper-spectral color information.

text: To truly calculate the color of an object under another illuminant, not merely how it will be perceived, it is necessary to record

text: multi-spectral

text: or

text: hyper-spectral

text: color information.

text: Stands for set color. Sets the color of the turtle's pen. If the turtle has its original shape, it will change color to show the pen color. The input can be the name of a color or a number. If the input is a name, a quotation mark must precede it. The original pen color is black, or color number 9. The input can be an integer or a one place decimal. See color.Examples:

text: Colors can be created in printing with color spaces based on the CMYK color model, using the subtractive primary colors of pigment (cyan (C), magenta (M), yellow (Y), and black (K)). To create a three-dimensional representation of a given color space, we can assign the amount of magenta color to the representation's X axis, the amount of cyan to its Y axis, and the amount of yellow to its Z axis. The resulting 3-D space provides a unique position for every possible color that can be created by combining those three pigments.

text: Colors can be created in

text: printing

text: with

text: color

text: spaces based on the

text: CMYK color model

text: , using the subtractive

text: primary colors

text: of

text: pigment

text: cyan

text: (C),

text: magenta

text: (M),

text: yellow

text: (Y), and

text: black

text: (K)). To create a three-dimensional representation of a given color space, we can assign the amount of magenta color to the representation's X

text: axis

text: , the amount of cyan to its Y axis, and the amount of yellow to its Z axis. The resulting 3-D space provides a unique position for every possible color that can be created by combining those three pigments.

text: !colspan=2|Official Opposition!Years|-! style="background-color: " ||Labour Party||1922–1927|-! style="background-color: " ||Fianna Fáil||1927–1932|-! style="background-color: " ||Cumann na nGaedheal||1932–1933|-! style="background-color: " ||Fine Gael||1933–1948|-! style="background-color: " ||Fianna Fáil||1948–1951|-! style="background-color: " ||Fine Gael||1951–1954|-! style="background-color: " ||Fianna Fáil||1954–1957|-! style="background-color: " ||Fine Gael||1957–1973|-! style="background-color: " ||Fianna Fáil||1973–1977|-! style="background-color: " ||Fine Gael||1977–1981|-! style="background-color: " ||Fianna Fáil||1981–1982|-! style="background-color: " ||Fine Gael||1982|-! style="background-color: " ||Fianna Fáil||1982–1987|-! style="background-color: " ||Fine Gael||1987–1994|-! style="background-color: " ||Fianna Fáil||1994–1997|-! style="background-color: " ||Fine Gael||1997–2011                                                                                |-! style="background-color: " ||Fianna Fáil||2011–                             |}

text: !colspan=2|Official Opposition!Years|-! style="background-color: " ||

text: Labour Party

text: ||1922–1927|-! style="background-color: " ||

text: Fianna Fáil

text: ||1927–1932|-! style="background-color: " ||

text: Cumann na nGaedheal

text: ||1932–1933|-! style="background-color: " ||

text: Fine Gael

text: ||1933–1948|-! style="background-color: " ||

text: Fianna Fáil

text: ||1948–1951|-! style="background-color: " ||

text: Fine Gael

text: ||1951–1954|-! style="background-color: " ||

text: Fianna Fáil

text: ||1954–1957|-! style="background-color: " ||

text: Fine Gael

text: ||1957–1973|-! style="background-color: " ||

text: Fianna Fáil

text: ||1973–1977|-! style="background-color: " ||

text: Fine Gael

text: ||1977–1981|-! style="background-color: " ||

text: Fianna Fáil

text: ||1981–1982|-! style="background-color: " ||

text: Fine Gael

text: ||1982|-! style="background-color: " ||

text: Fianna Fáil

text: ||1982–1987|-! style="background-color: " ||

text: Fine Gael

text: ||1987–1994|-! style="background-color: " ||

text: Fianna Fáil

text: ||1994–1997|-! style="background-color: " ||

text: Fine Gael

text: ||1997–2011                                                                                |-! style="background-color: " ||

text: Fianna Fáil

text: ||2011–                             |}

text: The clear light bulb is enclosed in a plastic base made up of a "bowl" and a "cap", usually of different colors. Bubble lights are manufactured in just about any color, including the liquid in the tube. The plastics used are most commonly semi-opaque red, yellow, blue, and green. Liquids are generally amber, red, blue, green, and, rarely, purple and pink.  Uncolored liquid is also available, being lit with colored bulbs instead.

text: (See Web colors and RGB color model)

text: (See

text: Web colors

text: and

text: RGB color model

text: Unlike other paints that create special effects by using a blend of pigments or tricky multi coat applications of different colors of paint Mystic achieves its dramatic color-change capability via tiny transparent layered flakes in the paint's chemistry that act like prisms to break up white light into its various component colors. Based off traditional black pigment paint it uses a special line of color-shifting interference pigments made by Flex Products, Inc called ChromaFlair pigments. You can learn more about the ChromaFlair line of color changing pigments by going to their website.

text: Pigments are solid, opaque particles suspended in ink to provide color. Pigment molecules typically link together in crystalline structures that are 0.1–2 µm in size and comprise 5–30 percent of the ink volume. Qualities such as hue, saturation, and lightness vary depending on the source and type of pigment.

text: Pigments are solid, opaque particles suspended in ink to provide color. Pigment molecules typically link together in

text: crystal

text: line structures that are 0.1–2

text: µm

text: in size and comprise 5–30 percent of the ink volume. Qualities such as

text: hue

text: saturation

text: , and

text: lightness

text: vary depending on the source and type of pigment.

text: Cryptothecia rubrocincta is a species of lichen in the Arthoniaceae family of fungi. The species is distributed in subtropical and tropical locations throughout the southeastern United States, as well as Central and South America, and has been collected infrequently in a few locales in Africa. The body of the lichen forms continuous, circular crust-like patches on dead wood, readily recognizable by the prominent red pigment. The older, central region is covered with red, spherical to cylindrical granules. Moving outwards from the center, zones of color may be distinguished, the first gray-green, the second white, and finally a bright red cottony rim. The red and green colors of this unmistakable woodland lichen give the appearance of a Christmas wreath, suggestive of its common North American name, the Christmas wreath lichen. The red pigment, called chiodectonic acid, is one of several chemicals the lichen produces to help tolerate inhospitable growing conditions.

text: Cryptothecia rubrocincta is a species of

text: lichen

text: in the

text: Arthoniaceae

text: family of

text: fungi

text: . The species is distributed in

text: subtropical

text: and

text: tropical

text: locations throughout the southeastern United States, as well as Central and South America, and has been collected infrequently in a few locales in Africa. The body of the lichen forms continuous, circular crust-like patches on dead wood, readily recognizable by the prominent red

text: pigment

text: . The older, central region is covered with red, spherical to cylindrical granules. Moving outwards from the center, zones of color may be distinguished, the first gray-green, the second white, and finally a bright red cottony rim. The red and green colors of this unmistakable woodland lichen give the appearance of a Christmas wreath, suggestive of its

text: common

text: North American name, the Christmas wreath lichen. The red pigment, called chiodectonic acid, is one of several chemicals the lichen produces to help tolerate inhospitable growing conditions.

text: Geologically, the Tinajas Altas Mountains are a southeastward extension of the block faulted Gila Mountains, and what are now the Tinajas Altas Mountains were actually considered part of the Gila Mountains until about the middle of the 20th century. The two ranges are separated by Cipriano Pass, also referred to as "Smugglers Pass," about two miles northwest of Raven Butte,  which is a notable dark-colored volcanic feature on the eastern flank of the otherwise light-colored granitic range.

text: Geologically, the Tinajas Altas Mountains are a southeastward extension of the

text: block faulted

text: Gila Mountains

text: , and what are now the Tinajas Altas Mountains were actually considered part of the Gila Mountains until about the middle of the 20th century. The two ranges are separated by Cipriano Pass, also referred to as "Smugglers Pass," about two miles northwest of Raven Butte,  which is a notable dark-colored volcanic feature on the eastern flank of the otherwise light-colored granitic range.

text: See the chart Color names that clash between X11 and HTML/CSS in the X11 color names article to see those colors which are different in HTML and X11.

text: See the chart

entity_section: Color names that clash between X11 and HTML/CSS

text: Color names that clash between X11 and HTML/CSS

text: in the X11 color names article to see those colors which are different in HTML and X11.

text: The familiar colors of the rainbow in the spectrum – named using the Latin word for appearance or apparition by Isaac Newton in 1671 – include all those colors that can be produced by visible light of a single wavelength only, the pure spectral or monochromatic colors. The table at right shows approximate frequencies (in terahertz) and wavelengths (in nanometers) for various pure spectral colors. The wavelengths listed are as measured in air or vacuum (see refractive index).

text: The familiar colors of the

text: rainbow

text: in the

text: spectrum

text: – named using the

text: Latin

text: word for appearance or apparition by

text: Isaac Newton

text: in 1671 – include all those colors that can be produced by

text: visible light

text: of a single wavelength only, the

text: pure spectral or monochromatic colors

text: . The table at right shows approximate frequencies (in

text: terahertz

text: ) and wavelengths (in

text: nanometers

text: ) for various pure spectral colors. The wavelengths listed are as measured in air or

text: vacuum

text: (see

text: refractive index

text: In certain forms of synesthesia/ideasthesia, perceiving letters and numbers (grapheme–color synesthesia) or hearing musical sounds (music–color synesthesia) will lead to the unusual additional experiences of seeing colors. Behavioral and functional neuroimaging experiments have demonstrated that these color experiences lead to changes in behavioral tasks and lead to increased activation of brain regions involved in color perception, thus demonstrating their reality, and similarity to real color percepts, albeit evoked through a non-standard route.

text: In certain forms of

text: synesthesia

text: ideasthesia

text: , perceiving letters and numbers (

text: grapheme–color synesthesia

text: ) or hearing musical sounds (music–color synesthesia) will lead to the unusual additional experiences of seeing colors. Behavioral and

text: functional neuroimaging

text: experiments have demonstrated that these color experiences lead to changes in behavioral tasks and lead to increased activation of brain regions involved in color perception, thus demonstrating their reality, and similarity to real color percepts, albeit evoked through a non-standard route.

text: |- style="background-color:#ffbbbb"| 1 || April 1 || Mets || 6 – 1 || Glavine (1-0) || Carpenter (0-1) || || 45,429 || 0-1|- style="background-color:#ffbbbb"| 2 || April 3 || Mets || 4 – 1 || Hernández (1-0) || Wells (0-1) || Wagner (1) || 45,440 || 0-2|- style="background-color:#ffbbbb"| 3 || April 4 || Mets || 10 – 0 || Maine (1-0) || Looper (0-1) || || 45,423 || 0-3|- style="background-color:#bbffbb"| 4 || April 6 || @ Astros || 4 – 2 || Wainwright (1-0) || Rodríguez (0-1) || Isringhausen (1) || 43,430 || 1-3|- style="background-color:#ffbbbb"| 5 || April 7 || @ Astros || 5 – 1 || Oswalt (1-0) || Reyes (0-1) || || 41,885 || 1-4|- style="background-color:#bbffbb"| 6 || April 8 || @ Astros || 10 – 1 || Wells (1-1) || Jennings (0-1) || || 36,273 || 2-4|- style="background-color:#bbffbb"| 7 || April 9 || @ Pirates || 3 – 0 || Looper (1-1) || Snell (0-1) || Isringhausen (2) || 38,429 || 3-4|- style="background-color:#bbffbb"| 8 || April 10 || @ Pirates || 3 – 2 (12) || Thompson (1-0) || Wasdin (0-1) || Isringhausen (3) || 12,468 || 4-4|- style="background-color:#bbffbb"| 9 || April 11 || @ Pirates || 3 – 2 || Franklin (1-0) || Torres (0-1) || || 9,959 || 5-4|- style="background-color:#bbbbbb"| -- || April 13 || Brewers || colspan=5|Postponed (rain), Rescheduled for July 28 || 5-4|- style="background-color:#ffbbbb"| 10 || April 14 || Brewers || 3 – 2 || Suppan (1-1)|| Wells (1-2)|| Cordero (4) || 42,805 || 5-5|- style="background-color:#bbffbb"| 11 || April 15 || Brewers || 10 – 2 || Looper (2-1) || Sheets (1-1) || || 44,153 || 6-5|- style="background-color:#ffbbbb"| 12 || April 16 || Pirates || 3 – 2 || Snell (1-1) || Reyes (0-2) || Torres (5) || 43,026 || 6-6|- style="background-color:#ffbbbb"| 13 || April 17 || Pirates || 6 – 1 || Gorzelanny (2-0) || Wainwright (1-1) || || 42,446 || 6-7|- style="background-color:#ffbbbb"| 14 || April 18 || @ Giants || 6 – 5 (12) || Sánchez (1-0) || Hancock (0-1) || || 40,532 || 6-8|- style="background-color:#ffbbbb"| 15 || April 19 || @ Giants || 6 – 2 || Lowry (1-2) || Wells (1-3) || Hennessey (1) || 37,398 || 6-9|- style="background-color:#bbffbb"| 16 || April 20 || @ Cubs || 2 – 1 || Looper (3-1) || Lilly (1-2) || Isringhausen (4) || 38,955 || 7-9|- style="background-color:#ffbbbb"| 17 || April 21 || @ Cubs || 6 – 0 || Marquis (2-1) || Reyes (0-3) || || 41,637 || 7-10|- style="background-color:#bbffbb"| 18 || April 22 || @ Cubs || 12 – 9 (10) || Isringhausen (1-0) || Dempster (0-1) || || 40,193 || 8-10|- style="background-color:#ffbbbb"| 19 || April 24 || Reds || 10 – 3 || Harang (3-0) || Wells (1-4) || || 42,309 || 8-11|- style="background-color:#bbffbb"| 20 || April 25 || Reds || 5 – 2 || Flores (1-0) || Saarloos (0-2) || Isringhausen (5) || 42,225 || 9-11|- style="background-color:#bbffbb"| 21 || April 26 || Reds || 7 – 5 || Springer (1-0) || Lohse (1-1) || Isringhausen (6) || 42,503 || 10-11|- style="background-color:#ffbbbb"| 22 || April 27 || Cubs || 5 – 3 || Marquis (3-1) || Reyes (0-4) || Dempster (4) || 45,131 || 10-12|- style="background-color:#ffbbbb"| 23 || April 28 || Cubs || 8 – 1 || Zambrano (2-2) || Wainwright (1-2) || || 45,015 || 10-13|- style="background-color:#bbbbbb"| -- || April 29 || Cubs || colspan=5|Postponed (death of Cardinals' pitcher Josh Hancock), Rescheduled for September 15 || 10-13|- style="background-color:#ffbbbb"| 24 || April 30 || @ Brewers || 7 – 1 || Suppan (4-1) || Wells (1-5) || || 20,191 || 10-14|- style="background-color:#ffbbbb"| 25 || May 1 || @ Brewers || 12 – 2 || Sheets (2-2) || Looper (3-2) || || 20,446 || 10-15|- style="background-color:#ffbbbb"| 26 || May 2 || @ Brewers || 4 – 0 || Villanueva (2-0) || Reyes (0-5) || || 23,299 || 10-16|- style="background-color:#bbffbb"| 27 || May 4 || Astros || 3 – 2 || Wainwright (2-2) || Williams (0-5) || Isringhausen (7) || 44,117 || 11-16|- style="background-color:#ffbbbb"| 28 || May 5 || Astros || 13 – 0 || Albers (1-1) || Wells (1-6) || || 44,881 || 11-17|- style="background-color:#bbffbb"| 29 || May 6 || Astros || 3 – 1 || Looper (4-2) || Sampson (3-2) || Isringhausen (8) || 44,453 || 12-17|- style="background-color:#ffbbbb"| 30 || May 7 || Rockies || 3 – 2 || McClellan (1-0) || Falkenborg (0-1) || Fuentes (8) || 42,285 || 12-18|- style="background-color:#bbffbb"| 31 || May 8 || Rockies || 4 – 1 || Jiménez (1-0) || Bautista (2-1) || Isringhausen (9) || 42,763 || 13-18|- style="background-color:#bbffbb"| 32 || May 9 || Rockies || 9 – 2 || Wainwright (3-2) || Hirsh (2-3) || || 43,001 || 14-18|- style="background-color:#ffbbbb"| 33 || May 11 || @ Padres || 7 – 0 || Peavy (5-1) || Wells (1-7) || || 38,901 || 14-19|- style="background-color:#bbffbb"| 34 || May 12 || @ Padres || 5 – 0 || Looper (5-2) || Young (4-3) || || 44,082 || 15-19|- style="background-color:#ffbbbb"| 35 || May 13 || @ Padres || 3 – 0 || Germano (1-0) || Reyes (0-6) || Hoffman (10) || 36,616 || 15-20|- style="background-color:#bbffbb"| 36 || May 14 || @ Dodgers || 8 – 4 || Thompson (2-0) || Tomko (1-4) || Isringhausen (10) || 35,707 || 16-20|- style="background-color:#ffbbbb"| 37 || May 15 || @ Dodgers || 9 – 7 || Lowe (4-4) || Wainwright (3-3) || Saito (12) || 38,954 || 16-21|- style="background-color:#ffbbbb"| 38 || May 16 || @ Dodgers || 5 – 4 || Wolf (5-3) || Wells (1-8) || Saito (13) || 38,252 || 16-22|- style="background-color:#ffbbbb"| 39 || May 18 || @ Tigers || 14 – 4 || Miller (1-0) || Looper (5-3) || || 40,816 || 16-23|- style="background-color:#ffbbbb"| 40 || May 19 || @ Tigers || 8 – 7 || Robertson (4-3)|| Reyes (0-7) || Jones (14) || 42,625 || 16-24|- style="background-color:#ffbbbb"| 41 || May 20 || @ Tigers || 6 – 3 || Verlander (4-1) || Thompson (2-1) || Seay (1) || 39,562 || 16-25|- style="background-color:#bbffbb"| 42 || May 22 || Pirates || 9 – 4 || Wainwright (4-3) || Duke (1-5) || || 42,679 || 17-25|- style="background-color:#bbffbb"| 43 || May 23 || Pirates || 5 – 3 || Wells (2-8) || Snell (4-3) || Isringhausen (11) || 42,245 || 18-25|- style="background-color:#bbffbb"| 44 || May 24 || Pirates || 3 – 1 || Looper (6-3) || Gorzelanny (5-3) || Isringhausen (12) || 44,296 || 19-25|- style="background-color:#ffbbbb"| 45 || May 25 || Nationals || 5 – 4 || Bowie (1-2) || Reyes (0-8) || Cordero (7) || 43,618 || 19-26|- style="background-color:#bbffbb"| 46 || May 26 || Nationals || 8 – 6 || Thompson (3-1) || Speigner (1-1) || Isringhausen (13) || 44,270 || 20-26|- style="background-color:#ffbbbb"| 47 || May 27 || Nationals || 7 – 2 || Rivera (1-1) || Wainwright (4-4) || || 44,578 || 20-27|- style="background-color:#ffbbbb"| 48 || May 28 || @ Rockies || 6 – 2 || Francis (4-4) || Wells (2-9) || || 31,575 || 20-28|- style="background-color:#ffbbbb"| 49 || May 29 || @ Rockies || 8 – 3 || López (2-0) || Looper (6-4) || || 18,213 || 20-29|- style="background-color:#bbffbb"| 50 || May 30 || @ Rockies || 8 – 4 || Wellemeyer (1-0) || Hirsh (2-5) || || 19,062 || 21-29|- style="background-color:#bbffbb"| 51 || May 31 || @ Rockies || 7 – 3 || Thompson (4-1) || Cook (4-2) || || 19,097 || 22-29|- style="background-color:#bbffbb"| 52 || June 1 || @ Astros || 8 – 1 || Franklin (2-0) || Qualls (4-3) || || 36,784 || 23-29|- style="background-color:#ffbbbb"| 53 || June 2 || @ Astros || 8 – 3 || Sampson (5-5) || Wells (2-10) || || 39,234 || 23-30|- style="background-color:#bbffbb"| 54 || June 3 || @ Astros || 8 – 6 (10) || Isringhausen (2-0) || Wheeler (0-2) || || 40,483 || 24-30|- style="background-color:#bbffbb"| 55 || June 5 || Reds || 4 – 3 || Isringhausen (3-0) || Burton (0-1) || || 43,532 || 25-30|- style="background-color:#bbffbb"| 56 || June 6 || Reds || 6 – 4 || Johnson (1-0) || Arroyo (2-7) || Isringhausen (14) || 42,029 || 26-30|- style="background-color:#ffbbbb"| 57 || June 7 || Reds || 5 – 1 || Lohse (3-7) || Wainwright (4-5) || || 43,597 || 26-31|- style="background-color:#ffbbbb"| 58 || June 8 || Angels || 10 – 6 || Carrasco (1-1) || Johnson (1-1) || || 44,156 || 26-32|- style="background-color:#ffbbbb"| 59 || June 9 || Angels || 9 – 3 || Santana (5-6) || Looper (6-5) || || 45,392 || 26-33|- style="background-color:#bbffbb"| 60 || June 10 || Angels || 9 – 6 || Wellemeyer (2-1) || Bootcheck (1-1) || || 43,612 || 27-33|- style="background-color:#ffbbbb"| 61 || June 12 || @ Royals || 8 – 1 || Bannister (3-3) || Thompson (4-2) || || 29,354 || 27-34|- style="background-color:#bbffbb"| 62 || June 13 || @ Royals || 7 – 3 || Wainwright (5-5) || Pérez (3-7) || || 25,555 || 28-34|- style="background-color:#ffbbbb"| 63 || June 14 || @ Royals || 17 – 8 || Greinke (4-4) || Wells (2-11) || || 28,837 || 28-35|- style="background-color:#ffbbbb"| 64 || June 15 || @ Athletics || 14 – 3 || Haren (8-2) || Looper (6-6) || || 24,241 || 28-36|- style="background-color:#bbffbb"| 65 || June 16 || @ Athletics || 15 – 6 || Springer (2-0) || DiNardo (2-3) || || 28,572 || 29-36|- style="background-color:#bbffbb"| 66 || June 17 || @ Athletics || 10 – 6 || Springer (3-0) || Lewis (0-2) || || 35,077 || 30-36|- style="background-color:#ffbbbb"| 67 || June 18 || Royals || 5 – 3 || Pérez (4-7) || Wainwright (5-6) || Dotel (6) || 43,524 || 30-37|- style="background-color:#bbffbb"| 68 || June 19 || Royals || 5 – 1 || Thompson (5-2) || Elarton (2-3) || || 42,712 || 31-37|- style="background-color:#bbffbb"| 69 || June 20 || Royals || 7 – 6 (14) || Wells (3-11) || de la Rosa (4-8) || || 42,623 || 32-37|- style="background-color:#ffbbbb"| 70 || June 22 || Phillies || 6 – 0 || Moyer (7-5) || Reyes (0-9) || || 45,360 || 32-38|- style="background-color:#bbffbb"| 71 || June 23 || Phillies || 8 – 3 || Wainwright (6-6) || Eaton (7-5) || || 45,336 || 33-38|- style="background-color:#ffbbbb"| 72 || June 24 || Phillies || 5 – 1 || Sanches (1-0) || Thompson (5-3) || || 44,899 || 33-39|- style="background-color:#ffbbbb"| 73 || June 25 || @ Mets || 2 – 1 (11) || Heilman (6-3) || Springer (3-1) || || 40,075 || 33-40|- style="background-color:#bbffbb"| 74 || June 26 || @ Mets || 5 – 3 (11) || Thompson (6-3) || Schoeneweis (0-2) || Flores (1) || 40,053 || 34-40|- style="background-color:#ffbbbb"| 75 || June 27 || @ Mets || 2 – 0 (6) || Glavine (7-5) || Reyes (0-10) || || 40,948 || 34-41|- style="background-color:#bbbbbb"| -- || June 28 || @ Mets || colspan=5|Postponed (rain), Rescheduled for September 27 || 34-41|- style="background-color:#bbffbb"| 76 || June 29 || @ Reds || 4 – 2 || Percival (1-0) || McBeth (2-2) || Isringhausen (15) || 35,508 || 35-41|- style="background-color:#ffbbbb"| 77 || June 30 || @ Reds || 5 – 1 || Lohse (4-10) || Wainwright (6-7) || || 32,538 || 35-42|- style="background-color:#bbffbb"| 78 || July 1 || @ Reds || 11 – 7 || Percival (2-0) || Bailey (2-2) || || 24,126 || 36-42|- style="background-color:#bbffbb"| 79 || July 2 || D-backs || 11 – 3 || Springer (4-1) || Webb (8-6) || || 42,312 || 37-42|- style="background-color:#ffbbbb"| 80 || July 3 || D-backs || 7 – 1 || Petit (1-1) || Wellemeyer (2-2) || || 42,127 || 37-43|- style="background-color:#bbffbb"| 81 || July 4 || D-backs || 5 – 4 || Franklin (3-0) || Lyon (5-3) || Isringhausen (16) || 43,538 || 38-43|- style="background-color:#bbffbb"| 82 || July 5 || D-backs || 3 – 2 || Wainwright (7-7) || Davis (5-10) || Isringhausen (17) || 42,184 || 39-43|- style="background-color:#ffbbbb"| 83 || July 6 || Giants || 4 – 3 || Lowry (9-6) || Maroth (5-3) || Messenger (1) || 45,245 || 39-44|- style="background-color:#ffbbbb"| 84 || July 7 || Giants || 7 – 6 || Lincecum (4-2) || Looper (6-7) || Hennessey (5) || 45,355 || 39-45|- style="background-color:#bbffbb"| 85 || July 8 || Giants || 7 – 0 || Wellemeyer (3-2) || Zito (6-9) || || 44,613 || 40-45|- style="background-color:#ffbbbb"| 86 || July 13 || @ Phillies || 13 – 3 || Kendrick (4-0) || Wells (3-12) || || 43,838 || 40-46|- style="background-color:#ffbbbb"| 87 || July 14 || @ Phillies || 10 – 4 || Hamels (11-4) || Maroth (5-4) || || 45,050 || 40-47|- style="background-color:#bbffbb"| 88 || July 15 || @ Phillies || 10 – 2 || Wainwright (8-7) || Eaton (8-6) || || 44,872 || 41-47|- style="background-color:#bbffbb"| 89 || July 16 || @ Marlins || 5 – 3 || Looper (7-7) || Kim (4-5) || Isringhausen (18) || 13,827 || 42-47|- style="background-color:#ffbbbb"| 90 || July 17 || @ Marlins || 4 – 0 || VandenHurk (3-2) || Thompson (6-4) || || 12,475 || 42-48|- style="background-color:#bbffbb"| 91 || July 18 || @ Marlins || 6 – 0 || Wells (4-12) || Willis (7-9) || || 12,819 || 43-48|- style="background-color:#ffbbbb"| 92 || July 19 || @ Braves || 10 – 1 || Hudson (10-5) || Maroth (5-5) || || 41,171 || 43-49|- style="background-color:#bbffbb"| 93 || July 20 || @ Braves || 4 – 2 || Wainwright (9-7) || Soriano (2-2) || Isringhausen (19) || 42,712 || 44-49|- style="background-color:#ffbbbb"| 94 || July 21 || @ Braves || 14 – 6 || Carlyle (5-2) || Looper (7-8) || || 53,953 || 44-50|- style="background-color:#bbffbb"| 95 || July 22 || @ Braves || 7 – 2 (10) || Isringhausen (4-0) || Yates (2-2) || || 39,181 || 45-50|- style="background-color:#ffbbbb"| 96 || July 24 || Cubs || 4 – 3 || Zambrano (13-7) || Wells (4-13) || Dempster (17) || 45,436 || 45-51|- style="background-color:#ffbbbb"| 97 || July 25 || Cubs || 7 – 1 || Lilly (11-4) || Wainwright (9-8) || || 45,316 || 45-52|- style="background-color:#bbffbb"| 98 || July 26 || Cubs || 11 – 1 || Looper (8-8) || Marquis (7-6) || || 45,308 || 46-52|- style="background-color:#ffbbbb"| 99 || July 27 || Brewers || 12 – 2 || Vargas (9-2) || Maroth (5-6) || || 45,137 || 46-53|- style="background-color:#bbffbb"| 100 || July 28 || Brewers || 7 – 6 || Springer (5-1) || Cordero (0-4) || || 45,089 || 47-53|- style="background-color:#bbffbb"| 101 || July 28 || Brewers || 5 – 2 ||Reyes (1-10) || Capuano (5-7) || Isringhausen (20) || 45,829 || 48-53|- style="background-color:#bbffbb"| 102 || July 29 || Brewers || 9 – 5 ||Franklin (4-0) || Turnbow (2-4) || || 44,854 || 49-53|- style="background-color:#bbffbb"| 103 || July 31 || @ Pirates || 6 – 4 ||Wainwright (10-8) || Maholm (7-13) || Isringhausen (21) || 24,085 || 50-53|- style="background-color:#bbffbb"|- style="background-color:#ffbbbb"| 104 || August 1 || @ Pirates || 15 – 1 || Armas (1-3) || Looper (8-9) || || 17,041 || 50-54|- style="background-color:#ffbbbb"| 105 || August 2 || @ Pirates || 5 – 4 (11) || Torres (1-3) || Thompson (6-5) || || 19,132 || 50-55|- style="background-color:#ffbbbb"| 106 || August 3 || @ Nationals || 3 – 2 || Cordero (2-2) || Franklin (4-1) || || 27,992 || 50-56|- style="background-color:#ffbbbb"| 107 || August 4 || @ Nationals || 12 – 1 ||Hanrahan (1-0) || Piñeiro (1-2) || || 29,252 || 50-57|- style="background-color:#ffbbbb"| 108 || August 5 || @ Nationals || 6 – 3 ||King (1-0) ||Franklin (4-2) || Cordero (23) || 33,517 || 50-58|- style="background-color:#bbffbb"| 109 || August 6 || Padres || 10 – 5 ||Looper (9-9) ||Wells (5-8) || || 42,743 || 51-58|- style="background-color:#ffbbbb"| 110 || August 7 || Padres || 4 – 0 || Peavy (12-5) ||Reyes (1-11) || || 42,846 || 51-59|- style="background-color:#bbffbb"| 111 || August 8 || Padres || 2 – 1 || Wells (5-13) || Maddux (7-9) || Isringhausen (22) || 42,138 || 52-59|- style="background-color:#bbffbb"| 112 || August 9 || Padres || 5 – 0 || Piñeiro (2-2) || Young (9-4) || || 42,848 || 53-59|- style="background-color:#ffbbbb"| 113 || August 10 || Dodgers || 2 – 1 || Beimel (3-1) || Wainwright (10-9) || Saito (29) || 44,595 || 53-60|- style="background-color:#bbffbb"| 114 || August 11 || Dodgers || 6 – 1 || Looper (10-9) || Lowe (8-11) || || 44,260 || 54-60|- style="background-color:#bbffbb"| 115 || August 12 || Dodgers || 12 – 2 || Reyes (2-11) || Hendrickson (4-7) || || 45,379 || 55-60|- style="background-color:#bbffbb"| 116 || August 14 || @ Brewers || 12 – 4 || Wells (6-13) || Capuano (5-10) || || 37,518 || 56-60|- style="background-color:#bbffbb"| 117 || August 15 || @ Brewers || 8 – 3 || Piñeiro (3-2) || Gallardo (4-3) || || 33,404 || 57-60|- style="background-color:#bbffbb"| 118 || August 16 || @ Brewers || 8 – 0 || Wainwright (11-9) || Bush (9-9) || || 36,062 || 58-60|- style="background-color:#ffbbbb"| 119 || August 17 || @ Cubs || 2 – 1 || Hill (7-7) || Looper (10-10) || Dempster (18) || 41,634 || 58-61|- style="background-color:#ffbbbb"| 120 || August 18 || @ Cubs || 5 – 3 || Marshall (6-6) || Reyes (2-12) || Dempster (19) || 41,369 || 58-62|- style="background-color:#bbbbbb"| -- || August 19 || @ Cubs || colspan=5|Postponed (rain), Rescheduled for September 10 || 58-62|- style="background-color:#bbffbb"| 121 || August 20 || @ Cubs || 6 – 4 || Piñeiro (4-2) || Lilly (13-6) || Isringhausen (23) || 40,141 || 59-62|- style="background-color:#bbffbb"| 122 || August 21 || Marlins || 5 – 2 || Percival (3-0) || Benítez (2-8) || Isringhausen (24) || 42,059 || 60-62|- style="background-color:#bbffbb"| 123 || August 22 || Marlins || 6 – 4 || Springer (6-1) || Olsen (9-11) || Isringhausen (25) || 42,147 || 61-62|- style="background-color:#ffbbbb"| 124 || August 23 || Marlins || 11 – 3 || VandenHurk (4-4) || Reyes (2-13) || || 42,123 || 61-63|- style="background-color:#ffbbbb"| 125 || August 24 || Braves || 7 – 2 || Smoltz (12-6) || Wells (6-14) || || 44,032 || 61-64|- style="background-color:#bbffbb"| 126 || August 25 || Braves || 5 – 4 || Springer (7-1) || Hudson (15-6) || Isringhausen (26) || 45,441 || 62-64|- style="background-color:#bbffbb"| 127 || August 26 || Braves || 4 – 1 || Wainwright (12-9) || Reyes (0-2) || Isringhausen (27) || 43,934 || 63-64|- style="background-color:#bbffbb"| 128 || August 28 || @ Astros || 7 – 0 || Looper (11-10) || Williams (8-13) || || 37,915 || 64-64|- style="background-color:#ffbbbb"| 129 || August 29 || @ Astros || 7 – 0 || Oswalt (14-6) || Wells (6-15) || || 33,422 || 64-65|- style="background-color:#ffbbbb"| 130 || August 30 || @ Astros || 2 – 1 || Albers (4-6) || Piñeiro (4-3) || Lidge (14) || 37,520 || 64-66|- style="background-color:#bbffbb"| 131 || August 31 || Reds || 8 – 5 || Flores (2-0) || Majewski (0-2) || || 43,564 || 65-66|- style="background-color:#bbffbb"| 132 || September 1 || Reds || 11 – 3 || Wainwright (13-9) || Dumatrait (0-3) || || 42,356 || 66-66|- style="background-color:#bbffbb"| 133 || September 2 || Reds || 3 – 2 || Looper (12-10) || Arroyo (7-14) || Isringhausen (28) || 44,223 || 67-66|- style="background-color:#ffbbbb"| 134 || September 3 || Pirates || 11 – 0 || Snell (9-11) || Wells (6-16) || || 42,238 || 67-67|- style="background-color:#bbffbb"| 135 || September 4 || Pirates || 6 – 2 || Piñeiro (5-3) || Morris (8-9) || Franklin (1) || 42,300 || 68-67|- style="background-color:#ffbbbb"| 136 || September 5 || Pirates || 8 – 2 || Armas (3-5) || Mulder (0-1) || || 42,299 || 68-68|- style="background-color:#bbffbb"| 137 || September 6 || Pirates || 16 – 4 (8) || Jiménez (2-0) || Bullington (0-1) || || 42,330 || 69-68|- style="background-color:#ffbbbb"| 138 || September 7 || @ D-backs || 4 – 2 || Webb (15-10) || Wainwright (13-10) || Valverde (43) || 31,225 || 69-69|- style="background-color:#ffbbbb"| 139 || September 8 || @ D-backs || 9 – 8 || Eveland (1-0) || Wellemeyer (3-3) || Valverde (44) || 45,931 || 69-70|- style="background-color:#ffbbbb"| 140 || September 9 || @ D-backs || 6 – 5 || Petit (3-4) || Franklin (4-3) || Valverde (45) || 35,136 || 69-71|- style="background-color:#ffbbbb"| 141 || September 10 || @ Cubs || 12 – 3 || Lilly (15-7) || Piñeiro (5-4) || || 40,358 || 69-72|- style="background-color:#ffbbbb"| 142 || September 11 || @ Reds || 7 – 2 || Belisle (8-8) || Mulder (0-2) || || 14,027 || 69-73|- style="background-color:#ffbbbb"| 143 || September 12 || @ Reds || 5 – 1 || Arroyo (9-14) || Reyes (2-14) || || 16,167 || 69-74|- style="background-color:#ffbbbb"| 144 || September 13 || @ Reds || 5 – 4 || Harang (15-4) || Wells (6-17) || Weathers (30) || 18,018 || 69-75|- style="background-color:#ffbbbb"| 145 || September 14 || Cubs || 5 – 3 || Zambrano (16-12) || Wainwright (13-11) || Howry (8) || 45,750 || 69-76|- style="background-color:#ffbbbb"| 146 || September 15 || Cubs || 3 – 2 || Wood (1-1) || Franklin (4-4) || Dempster (27) || 45,918 || 69-77|- style="background-color:#bbffbb"| 147 || September 15 || Cubs || 4 – 3 || Piñeiro (6-4) || Marshall (7-8) || Isringhausen (29) || 45,894 || 70-77|- style="background-color:#ffbbbb"| 148 || September 16 || Cubs || 4 – 2 || Marquis (12-8) || Mulder (0-3) || Dempster (28) || 45,735 || 70-78|- style="background-color:#ffbbbb"| 149 || September 17 || Phillies || 13 – 11 || Kendrick (9-4) || Thompson (6-6) || Rosario (1) || 42,031 || 70-79|- style="background-color:#ffbbbb"| 150 || September 18 || Phillies || 7 – 4 (14) || Mesa (2-3) || Maroth (5-7) || Condrey (1) || 42,170 || 70-80|- style="background-color:#bbffbb"| 151 || September 19 || Phillies || 2 – 1 (10) || Flores (3-0) || Myers (4-7) || || 44,337 || 71-80|- style="background-color:#ffbbbb"| 152 || September 20 || Astros || 18 – 1 || Rodríguez (9-13) || Looper (12-11) || || 42,171 || 71-81|- style="background-color:#ffbbbb"| 153 || September 21 || Astros || 6 – 3 || Backe (2-1) || Piñeiro (6-5) || Lidge (16) || 43,677 || 71-82|- style="background-color:#bbffbb"| 154 || September 22 || Astros || 7 – 4 || Thompson (7-6) || Albers (4-10) || Isringhausen (30) || 46,237 || 72-82|- style="background-color:#bbffbb"| 155 || September 23 || Astros || 4 – 3 || Jiménez (3-0) || Lidge (5-3) || || 46,169 || 73-82|- style="background-color:#ffbbbb"| 156 || September 24 || @ Brewers || 13 – 5 || Bush (12-10) || Wainwright (13-12) || || 40,908 || 73-83|- style="background-color:#ffbbbb"| 157 || September 25 || @ Brewers || 9 – 1 || Suppan (11-12) || Looper (12-12) || || 32,329 || 73-84|- style="background-color:#bbffbb"| 158 || September 26 || @ Brewers || 7 – 3 || Thompson (8-6) || Villanueva (8-5) || || 32,411 || 74-84|- style="background-color:#bbffbb"| 159 || September 27 || @ Mets || 3 – 0 || Piñeiro (7-5) || Martínez (3-1) || Isringhausen (31) || 48,900 || 75-84|- style="background-color:#bbffbb"| 160 || September 28 || @ Pirates || 6 – 1 || Springer (8-1) || Grabow (3-2) || || 30,603 || 76-84|- style="background-color:#bbffbb"| 161 || September 29 || @ Pirates || 7 – 3 || Wainwright (14-12) || Gorzelanny (14-10) || || 35,169 || 77-84|- style="background-color:#bbffbb"| 162 || September 30 || @ Pirates || 6 – 5 || Wells (7-17) || Bullington (0-3) || Isringhausen (32) || 25,664 || 78-84

text: |- style="background-color:#ffbbbb"| 1 || April 1 ||

text: Mets

text: || 6 – 1 ||

text: Glavine

text: (1-0) ||

text: Carpenter

text: (0-1) || || 45,429 || 0-1|- style="background-color:#ffbbbb"| 2 || April 3 ||

text: Mets

text: || 4 – 1 ||

text: Hernández

text: (1-0) ||

text: Wells

text: (0-1) ||

text: Wagner

text: (1) || 45,440 || 0-2|- style="background-color:#ffbbbb"| 3 || April 4 ||

text: Mets

text: || 10 – 0 ||

text: Maine

text: (1-0) ||

text: Looper

text: (0-1) || || 45,423 || 0-3|- style="background-color:#bbffbb"| 4 || April 6 || @

text: Astros

text: || 4 – 2 ||

text: Wainwright

text: (1-0) ||

text: Rodríguez

text: (0-1) ||

text: Isringhausen

text: (1) || 43,430 || 1-3|- style="background-color:#ffbbbb"| 5 || April 7 || @

text: Astros

text: || 5 – 1 ||

text: Oswalt

text: (1-0) ||

text: Reyes

text: (0-1) || || 41,885 || 1-4|- style="background-color:#bbffbb"| 6 || April 8 || @

text: Astros

text: || 10 – 1 ||

text: Wells

text: (1-1) ||

text: Jennings

text: (0-1) || || 36,273 || 2-4|- style="background-color:#bbffbb"| 7 || April 9 || @

text: Pirates

text: || 3 – 0 ||

text: Looper

text: (1-1) ||

text: Snell

text: (0-1) ||

text: Isringhausen

text: (2) || 38,429 || 3-4|- style="background-color:#bbffbb"| 8 || April 10 || @

text: Pirates

text: || 3 – 2 (12) ||

text: Thompson

text: (1-0) ||

text: Wasdin

text: (0-1) ||

text: Isringhausen

text: (3) || 12,468 || 4-4|- style="background-color:#bbffbb"| 9 || April 11 || @

text: Pirates

text: || 3 – 2 ||

text: Franklin

text: (1-0) ||

text: Torres

text: (0-1) || || 9,959 || 5-4|- style="background-color:#bbbbbb"| -- || April 13 ||

text: Brewers

text: || colspan=5|Postponed (rain), Rescheduled for July 28 || 5-4|- style="background-color:#ffbbbb"| 10 || April 14 ||

text: Brewers

text: || 3 – 2 ||

text: Suppan

text: Wells

text: Cordero

text: (4) || 42,805 || 5-5|- style="background-color:#bbffbb"| 11 || April 15 ||

text: Brewers

text: || 10 – 2 ||

text: Looper

text: (2-1) ||

text: Sheets

text: (1-1) || || 44,153 || 6-5|- style="background-color:#ffbbbb"| 12 || April 16 ||

text: Pirates

text: || 3 – 2 ||

text: Snell

text: (1-1) ||

text: Reyes

text: (0-2) ||

text: Torres

text: (5) || 43,026 || 6-6|- style="background-color:#ffbbbb"| 13 || April 17 ||

text: Pirates

text: || 6 – 1 ||

text: Gorzelanny

text: (2-0) ||

text: Wainwright

text: (1-1) || || 42,446 || 6-7|- style="background-color:#ffbbbb"| 14 || April 18 || @

text: Giants

text: || 6 – 5 (12) ||

text: Sánchez

text: (1-0) ||

text: Hancock

text: (0-1) || || 40,532 || 6-8|- style="background-color:#ffbbbb"| 15 || April 19 || @

text: Giants

text: || 6 – 2 ||

text: Lowry

text: (1-2) ||

text: Wells

text: (1-3) ||

text: Hennessey

text: (1) || 37,398 || 6-9|- style="background-color:#bbffbb"| 16 || April 20 || @

text: Cubs

text: || 2 – 1 ||

text: Looper

text: (3-1) ||

text: Lilly

text: (1-2) ||

text: Isringhausen

text: (4) || 38,955 || 7-9|- style="background-color:#ffbbbb"| 17 || April 21 || @

text: Cubs

text: || 6 – 0 ||

text: Marquis

text: (2-1) ||

text: Reyes

text: (0-3) || || 41,637 || 7-10|- style="background-color:#bbffbb"| 18 || April 22 || @

text: Cubs

text: || 12 – 9 (10) ||

text: Isringhausen

text: (1-0) ||

text: Dempster

text: (0-1) || || 40,193 || 8-10|- style="background-color:#ffbbbb"| 19 || April 24 ||

text: Reds

text: || 10 – 3 ||

text: Harang

text: (3-0) ||

text: Wells

text: (1-4) || || 42,309 || 8-11|- style="background-color:#bbffbb"| 20 || April 25 ||

text: Reds

text: || 5 – 2 ||

text: Flores

text: (1-0) ||

text: Saarloos

text: (0-2) ||

text: Isringhausen

text: (5) || 42,225 || 9-11|- style="background-color:#bbffbb"| 21 || April 26 ||

text: Reds

text: || 7 – 5 ||

text: Springer

text: (1-0) ||

text: Lohse

text: (1-1) ||

text: Isringhausen

text: (6) || 42,503 || 10-11|- style="background-color:#ffbbbb"| 22 || April 27 ||

text: Cubs

text: || 5 – 3 ||

text: Marquis

text: (3-1) ||

text: Reyes

text: (0-4) ||

text: Dempster

text: (4) || 45,131 || 10-12|- style="background-color:#ffbbbb"| 23 || April 28 ||

text: Cubs

text: || 8 – 1 ||

text: Zambrano

text: (2-2) ||

text: Wainwright

text: (1-2) || || 45,015 || 10-13|- style="background-color:#bbbbbb"| -- || April 29 ||

text: Cubs

text: || colspan=5|Postponed (death of Cardinals' pitcher

text: Josh Hancock

text: ), Rescheduled for September 15 || 10-13|- style="background-color:#ffbbbb"| 24 || April 30 || @

text: Brewers

text: || 7 – 1 ||

text: Suppan

text: (4-1) ||

text: Wells

text: (1-5) || || 20,191 || 10-14|- style="background-color:#ffbbbb"| 25 || May 1 || @

text: Brewers

text: || 12 – 2 ||

text: Sheets

text: (2-2) ||

text: Looper

text: (3-2) || || 20,446 || 10-15|- style="background-color:#ffbbbb"| 26 || May 2 || @

text: Brewers

text: || 4 – 0 ||

text: Villanueva

text: (2-0) ||

text: Reyes

text: (0-5) || || 23,299 || 10-16|- style="background-color:#bbffbb"| 27 || May 4 ||

text: Astros

text: || 3 – 2 ||

text: Wainwright

text: (2-2) ||

text: Williams

text: (0-5) ||

text: Isringhausen

text: (7) || 44,117 || 11-16|- style="background-color:#ffbbbb"| 28 || May 5 ||

text: Astros

text: || 13 – 0 ||

text: Albers

text: (1-1) ||

text: Wells

text: (1-6) || || 44,881 || 11-17|- style="background-color:#bbffbb"| 29 || May 6 ||

text: Astros

text: || 3 – 1 ||

text: Looper

text: (4-2) ||

text: Sampson

text: (3-2) ||

text: Isringhausen

text: (8) || 44,453 || 12-17|- style="background-color:#ffbbbb"| 30 || May 7 ||

text: Rockies

text: || 3 – 2 ||

text: McClellan

text: (1-0) ||

text: Falkenborg

text: (0-1) ||

text: Fuentes

text: (8) || 42,285 || 12-18|- style="background-color:#bbffbb"| 31 || May 8 ||

text: Rockies

text: || 4 – 1 ||

text: Jiménez

text: (1-0) ||

text: Bautista

text: (2-1) ||

text: Isringhausen

text: (9) || 42,763 || 13-18|- style="background-color:#bbffbb"| 32 || May 9 ||

text: Rockies

text: || 9 – 2 ||

text: Wainwright

text: (3-2) ||

text: Hirsh

text: (2-3) || || 43,001 || 14-18|- style="background-color:#ffbbbb"| 33 || May 11 || @

text: Padres

text: || 7 – 0 ||

text: Peavy

text: (5-1) ||

text: Wells

text: (1-7) || || 38,901 || 14-19|- style="background-color:#bbffbb"| 34 || May 12 || @

text: Padres

text: || 5 – 0 ||

text: Looper

text: (5-2) ||

text: Young

text: (4-3) || || 44,082 || 15-19|- style="background-color:#ffbbbb"| 35 || May 13 || @

text: Padres

text: || 3 – 0 ||

text: Germano

text: (1-0) ||

text: Reyes

text: (0-6) ||

text: Hoffman

text: (10) || 36,616 || 15-20|- style="background-color:#bbffbb"| 36 || May 14 || @

text: Dodgers

text: || 8 – 4 ||

text: Thompson

text: (2-0) ||

text: Tomko

text: (1-4) ||

text: Isringhausen

text: (10) || 35,707 || 16-20|- style="background-color:#ffbbbb"| 37 || May 15 || @

text: Dodgers

text: || 9 – 7 ||

text: Lowe

text: (4-4) ||

text: Wainwright

text: (3-3) ||

text: Saito

text: (12) || 38,954 || 16-21|- style="background-color:#ffbbbb"| 38 || May 16 || @

text: Dodgers

text: || 5 – 4 ||

text: Wolf

text: (5-3) ||

text: Wells

text: (1-8) ||

text: Saito

text: (13) || 38,252 || 16-22|- style="background-color:#ffbbbb"| 39 || May 18 || @

text: Tigers

text: || 14 – 4 ||

text: Miller

text: (1-0) ||

text: Looper

text: (5-3) || || 40,816 || 16-23|- style="background-color:#ffbbbb"| 40 || May 19 || @

text: Tigers

text: || 8 – 7 ||

text: Robertson

text: Reyes

text: (0-7) ||

text: Jones

text: (14) || 42,625 || 16-24|- style="background-color:#ffbbbb"| 41 || May 20 || @

text: Tigers

text: || 6 – 3 ||

text: Verlander

text: (4-1) ||

text: Thompson

text: (2-1) ||

text: Seay

text: (1) || 39,562 || 16-25|- style="background-color:#bbffbb"| 42 || May 22 ||

text: Pirates

text: || 9 – 4 ||

text: Wainwright

text: (4-3) ||

text: Duke

text: (1-5) || || 42,679 || 17-25|- style="background-color:#bbffbb"| 43 || May 23 ||

text: Pirates

text: || 5 – 3 ||

text: Wells

text: (2-8) ||

text: Snell

text: (4-3) ||

text: Isringhausen

text: (11) || 42,245 || 18-25|- style="background-color:#bbffbb"| 44 || May 24 ||

text: Pirates

text: || 3 – 1 ||

text: Looper

text: (6-3) ||

text: Gorzelanny

text: (5-3) ||

text: Isringhausen

text: (12) || 44,296 || 19-25|- style="background-color:#ffbbbb"| 45 || May 25 ||

text: Nationals

text: || 5 – 4 ||

text: Bowie

text: (1-2) ||

text: Reyes

text: (0-8) ||

text: Cordero

text: (7) || 43,618 || 19-26|- style="background-color:#bbffbb"| 46 || May 26 ||

text: Nationals

text: || 8 – 6 ||

text: Thompson

text: (3-1) ||

text: Speigner

text: (1-1) ||

text: Isringhausen

text: (13) || 44,270 || 20-26|- style="background-color:#ffbbbb"| 47 || May 27 ||

text: Nationals

text: || 7 – 2 ||

text: Rivera

text: (1-1) ||

text: Wainwright

text: (4-4) || || 44,578 || 20-27|- style="background-color:#ffbbbb"| 48 || May 28 || @

text: Rockies

text: || 6 – 2 ||

text: Francis

text: (4-4) ||

text: Wells

text: (2-9) || || 31,575 || 20-28|- style="background-color:#ffbbbb"| 49 || May 29 || @

text: Rockies

text: || 8 – 3 ||

text: López

text: (2-0) ||

text: Looper

text: (6-4) || || 18,213 || 20-29|- style="background-color:#bbffbb"| 50 || May 30 || @

text: Rockies

text: || 8 – 4 ||

text: Wellemeyer

text: (1-0) ||

text: Hirsh

text: (2-5) || || 19,062 || 21-29|- style="background-color:#bbffbb"| 51 || May 31 || @

text: Rockies

text: || 7 – 3 ||

text: Thompson

text: (4-1) ||

text: Cook

text: (4-2) || || 19,097 || 22-29|- style="background-color:#bbffbb"| 52 || June 1 || @

text: Astros

text: || 8 – 1 ||

text: Franklin

text: (2-0) ||

text: Qualls

text: (4-3) || || 36,784 || 23-29|- style="background-color:#ffbbbb"| 53 || June 2 || @

text: Astros

text: || 8 – 3 ||

text: Sampson

text: (5-5) ||

text: Wells

text: (2-10) || || 39,234 || 23-30|- style="background-color:#bbffbb"| 54 || June 3 || @

text: Astros

text: || 8 – 6 (10) ||

text: Isringhausen

text: (2-0) ||

text: Wheeler

text: (0-2) || || 40,483 || 24-30|- style="background-color:#bbffbb"| 55 || June 5 ||

text: Reds

text: || 4 – 3 ||

text: Isringhausen

text: (3-0) ||

text: Burton

text: (0-1) || || 43,532 || 25-30|- style="background-color:#bbffbb"| 56 || June 6 ||

text: Reds

text: || 6 – 4 ||

text: Johnson

text: (1-0) ||

text: Arroyo

text: (2-7) ||

text: Isringhausen

text: (14) || 42,029 || 26-30|- style="background-color:#ffbbbb"| 57 || June 7 ||

text: Reds

text: || 5 – 1 ||

text: Lohse

text: (3-7) ||

text: Wainwright

text: (4-5) || || 43,597 || 26-31|- style="background-color:#ffbbbb"| 58 || June 8 ||

text: Angels

text: || 10 – 6 ||

text: Carrasco

text: (1-1) ||

text: Johnson

text: (1-1) || || 44,156 || 26-32|- style="background-color:#ffbbbb"| 59 || June 9 ||

text: Angels

text: || 9 – 3 ||

text: Santana

text: (5-6) ||

text: Looper

text: (6-5) || || 45,392 || 26-33|- style="background-color:#bbffbb"| 60 || June 10 ||

text: Angels

text: || 9 – 6 ||

text: Wellemeyer

text: (2-1) ||

text: Bootcheck

text: (1-1) || || 43,612 || 27-33|- style="background-color:#ffbbbb"| 61 || June 12 || @

text: Royals

text: || 8 – 1 ||

text: Bannister

text: (3-3) ||

text: Thompson

text: (4-2) || || 29,354 || 27-34|- style="background-color:#bbffbb"| 62 || June 13 || @

text: Royals

text: || 7 – 3 ||

text: Wainwright

text: (5-5) ||

text: Pérez

text: (3-7) || || 25,555 || 28-34|- style="background-color:#ffbbbb"| 63 || June 14 || @

text: Royals

text: || 17 – 8 ||

text: Greinke

text: (4-4) ||

text: Wells

text: (2-11) || || 28,837 || 28-35|- style="background-color:#ffbbbb"| 64 || June 15 || @

text: Athletics

text: || 14 – 3 ||

text: Haren

text: (8-2) ||

text: Looper

text: (6-6) || || 24,241 || 28-36|- style="background-color:#bbffbb"| 65 || June 16 || @

text: Athletics

text: || 15 – 6 ||

text: Springer

text: (2-0) ||

text: DiNardo

text: (2-3) || || 28,572 || 29-36|- style="background-color:#bbffbb"| 66 || June 17 || @

text: Athletics

text: || 10 – 6 ||

text: Springer

text: (3-0) ||

text: Lewis

text: (0-2) || || 35,077 || 30-36|- style="background-color:#ffbbbb"| 67 || June 18 ||

text: Royals

text: || 5 – 3 ||

text: Pérez

text: (4-7) ||

text: Wainwright

text: (5-6) ||

text: Dotel

text: (6) || 43,524 || 30-37|- style="background-color:#bbffbb"| 68 || June 19 ||

text: Royals

text: || 5 – 1 ||

text: Thompson

text: (5-2) ||

text: Elarton

text: (2-3) || || 42,712 || 31-37|- style="background-color:#bbffbb"| 69 || June 20 ||

text: Royals

text: || 7 – 6 (14) ||

text: Wells

text: (3-11) ||

text: de la Rosa

text: (4-8) || || 42,623 || 32-37|- style="background-color:#ffbbbb"| 70 || June 22 ||

text: Phillies

text: || 6 – 0 ||

text: Moyer

text: (7-5) ||

text: Reyes

text: (0-9) || || 45,360 || 32-38|- style="background-color:#bbffbb"| 71 || June 23 ||

text: Phillies

text: || 8 – 3 ||

text: Wainwright

text: (6-6) ||

text: Eaton

text: (7-5) || || 45,336 || 33-38|- style="background-color:#ffbbbb"| 72 || June 24 ||

text: Phillies

text: || 5 – 1 ||

text: Sanches

text: (1-0) ||

text: Thompson

text: (5-3) || || 44,899 || 33-39|- style="background-color:#ffbbbb"| 73 || June 25 || @

text: Mets

text: || 2 – 1 (11) ||

text: Heilman

text: (6-3) ||

text: Springer

text: (3-1) || || 40,075 || 33-40|- style="background-color:#bbffbb"| 74 || June 26 || @

text: Mets

text: || 5 – 3 (11) ||

text: Thompson

text: (6-3) ||

text: Schoeneweis

text: (0-2) ||

text: Flores

text: (1) || 40,053 || 34-40|- style="background-color:#ffbbbb"| 75 || June 27 || @

text: Mets

text: || 2 – 0 (6) ||

text: Glavine

text: (7-5) ||

text: Reyes

text: (0-10) || || 40,948 || 34-41|- style="background-color:#bbbbbb"| -- || June 28 || @

text: Mets

text: || colspan=5|Postponed (rain), Rescheduled for September 27 || 34-41|- style="background-color:#bbffbb"| 76 || June 29 || @

text: Reds

text: || 4 – 2 ||

text: Percival

text: (1-0) ||

text: McBeth

text: (2-2) ||

text: Isringhausen

text: (15) || 35,508 || 35-41|- style="background-color:#ffbbbb"| 77 || June 30 || @

text: Reds

text: || 5 – 1 ||

text: Lohse

text: (4-10) ||

text: Wainwright

text: (6-7) || || 32,538 || 35-42|- style="background-color:#bbffbb"| 78 || July 1 || @

text: Reds

text: || 11 – 7 ||

text: Percival

text: (2-0) ||

text: Bailey

text: (2-2) || || 24,126 || 36-42|- style="background-color:#bbffbb"| 79 || July 2 ||

text: D-backs

text: || 11 – 3 ||

text: Springer

text: (4-1) ||

text: Webb

text: (8-6) || || 42,312 || 37-42|- style="background-color:#ffbbbb"| 80 || July 3 ||

text: D-backs

text: || 7 – 1 ||

text: Petit

text: (1-1) ||

text: Wellemeyer

text: (2-2) || || 42,127 || 37-43|- style="background-color:#bbffbb"| 81 || July 4 ||

text: D-backs

text: || 5 – 4 ||

text: Franklin

text: (3-0) ||

text: Lyon

text: (5-3) ||

text: Isringhausen

text: (16) || 43,538 || 38-43|- style="background-color:#bbffbb"| 82 || July 5 ||

text: D-backs

text: || 3 – 2 ||

text: Wainwright

text: (7-7) ||

text: Davis

text: (5-10) ||

text: Isringhausen

text: (17) || 42,184 || 39-43|- style="background-color:#ffbbbb"| 83 || July 6 ||

text: Giants

text: || 4 – 3 ||

text: Lowry

text: (9-6) ||

text: Maroth

text: (5-3) ||

text: Messenger

text: (1) || 45,245 || 39-44|- style="background-color:#ffbbbb"| 84 || July 7 ||

text: Giants

text: || 7 – 6 ||

text: Lincecum

text: (4-2) ||

text: Looper

text: (6-7) ||

text: Hennessey

text: (5) || 45,355 || 39-45|- style="background-color:#bbffbb"| 85 || July 8 ||

text: Giants

text: || 7 – 0 ||

text: Wellemeyer

text: (3-2) ||

text: Zito

text: (6-9) || || 44,613 || 40-45|- style="background-color:#ffbbbb"| 86 || July 13 || @

text: Phillies

text: || 13 – 3 ||

text: Kendrick

text: (4-0) ||

text: Wells

text: (3-12) || || 43,838 || 40-46|- style="background-color:#ffbbbb"| 87 || July 14 || @

text: Phillies

text: || 10 – 4 ||

text: Hamels

text: (11-4) ||

text: Maroth

text: (5-4) || || 45,050 || 40-47|- style="background-color:#bbffbb"| 88 || July 15 || @

text: Phillies

text: || 10 – 2 ||

text: Wainwright

text: (8-7) ||

text: Eaton

text: (8-6) || || 44,872 || 41-47|- style="background-color:#bbffbb"| 89 || July 16 || @

text: Marlins

text: || 5 – 3 ||

text: Looper

text: (7-7) ||

text: Kim

text: (4-5) ||

text: Isringhausen

text: (18) || 13,827 || 42-47|- style="background-color:#ffbbbb"| 90 || July 17 || @

text: Marlins

text: || 4 – 0 ||

text: VandenHurk

text: (3-2) ||

text: Thompson

text: (6-4) || || 12,475 || 42-48|- style="background-color:#bbffbb"| 91 || July 18 || @

text: Marlins

text: || 6 – 0 ||

text: Wells

text: (4-12) ||

text: Willis

text: (7-9) || || 12,819 || 43-48|- style="background-color:#ffbbbb"| 92 || July 19 || @

text: Braves

text: || 10 – 1 ||

text: Hudson

text: (10-5) ||

text: Maroth

text: (5-5) || || 41,171 || 43-49|- style="background-color:#bbffbb"| 93 || July 20 || @

text: Braves

text: || 4 – 2 ||

text: Wainwright

text: (9-7) ||

text: Soriano

text: (2-2) ||

text: Isringhausen

text: (19) || 42,712 || 44-49|- style="background-color:#ffbbbb"| 94 || July 21 || @

text: Braves

text: || 14 – 6 ||

text: Carlyle

text: (5-2) ||

text: Looper

text: (7-8) || || 53,953 || 44-50|- style="background-color:#bbffbb"| 95 || July 22 || @

text: Braves

text: || 7 – 2 (10) ||

text: Isringhausen

text: (4-0) ||

text: Yates

text: (2-2) || || 39,181 || 45-50|- style="background-color:#ffbbbb"| 96 || July 24 ||

text: Cubs

text: || 4 – 3 ||

text: Zambrano

text: (13-7) ||

text: Wells

text: (4-13) ||

text: Dempster

text: (17) || 45,436 || 45-51|- style="background-color:#ffbbbb"| 97 || July 25 ||

text: Cubs

text: || 7 – 1 ||

text: Lilly

text: (11-4) ||

text: Wainwright

text: (9-8) || || 45,316 || 45-52|- style="background-color:#bbffbb"| 98 || July 26 ||

text: Cubs

text: || 11 – 1 ||

text: Looper

text: (8-8) ||

text: Marquis

text: (7-6) || || 45,308 || 46-52|- style="background-color:#ffbbbb"| 99 || July 27 ||

text: Brewers

text: || 12 – 2 ||

text: Vargas

text: (9-2) ||

text: Maroth

text: (5-6) || || 45,137 || 46-53|- style="background-color:#bbffbb"| 100 || July 28 ||

text: Brewers

text: || 7 – 6 ||

text: Springer

text: (5-1) ||

text: Cordero

text: (0-4) || || 45,089 || 47-53|- style="background-color:#bbffbb"| 101 || July 28 ||

text: Brewers

text: || 5 – 2 ||

text: Reyes

text: (1-10) ||

text: Capuano

text: (5-7) ||

text: Isringhausen

text: (20) || 45,829 || 48-53|- style="background-color:#bbffbb"| 102 || July 29 ||

text: Brewers

text: || 9 – 5 ||

text: Franklin

text: (4-0) ||

text: Turnbow

text: (2-4) || || 44,854 || 49-53|- style="background-color:#bbffbb"| 103 || July 31 || @

text: Pirates

text: || 6 – 4 ||

text: Wainwright

text: (10-8) ||

text: Maholm

text: (7-13) ||

text: Isringhausen

text: (21) || 24,085 || 50-53|- style="background-color:#bbffbb"|- style="background-color:#ffbbbb"| 104 || August 1 || @

text: Pirates

text: || 15 – 1 ||

text: Armas

text: (1-3) ||

text: Looper

text: (8-9) || || 17,041 || 50-54|- style="background-color:#ffbbbb"| 105 || August 2 || @

text: Pirates

text: || 5 – 4 (11) ||

text: Torres

text: (1-3) ||

text: Thompson

text: (6-5) || || 19,132 || 50-55|- style="background-color:#ffbbbb"| 106 || August 3 || @

text: Nationals

text: || 3 – 2 ||

text: Cordero

text: (2-2) ||

text: Franklin

text: (4-1) || || 27,992 || 50-56|- style="background-color:#ffbbbb"| 107 || August 4 || @

text: Nationals

text: || 12 – 1 ||

text: Hanrahan

text: (1-0) ||

text: Piñeiro

text: (1-2) || || 29,252 || 50-57|- style="background-color:#ffbbbb"| 108 || August 5 || @

text: Nationals

text: || 6 – 3 ||

text: King

text: (1-0) ||

text: Franklin

text: (4-2) ||

text: Cordero

text: (23) || 33,517 || 50-58|- style="background-color:#bbffbb"| 109 || August 6 ||

text: Padres

text: || 10 – 5 ||

text: Looper

text: (9-9) ||

text: Wells

text: (5-8) || || 42,743 || 51-58|- style="background-color:#ffbbbb"| 110 || August 7 ||

text: Padres

text: || 4 – 0 ||

text: Peavy

text: (12-5) ||

text: Reyes

text: (1-11) || || 42,846 || 51-59|- style="background-color:#bbffbb"| 111 || August 8 ||

text: Padres

text: || 2 – 1 ||

text: Wells

text: (5-13) ||

text: Maddux

text: (7-9) ||

text: Isringhausen

text: (22) || 42,138 || 52-59|- style="background-color:#bbffbb"| 112 || August 9 ||

text: Padres

text: || 5 – 0 ||

text: Piñeiro

text: (2-2) ||

text: Young

text: (9-4) || || 42,848 || 53-59|- style="background-color:#ffbbbb"| 113 || August 10 ||

text: Dodgers

text: || 2 – 1 ||

text: Beimel

text: (3-1) ||

text: Wainwright

text: (10-9) ||

text: Saito

text: (29) || 44,595 || 53-60|- style="background-color:#bbffbb"| 114 || August 11 ||

text: Dodgers

text: || 6 – 1 ||

text: Looper

text: (10-9) ||

text: Lowe

text: (8-11) || || 44,260 || 54-60|- style="background-color:#bbffbb"| 115 || August 12 ||

text: Dodgers

text: || 12 – 2 ||

text: Reyes

text: (2-11) ||

text: Hendrickson

text: (4-7) || || 45,379 || 55-60|- style="background-color:#bbffbb"| 116 || August 14 || @

text: Brewers

text: || 12 – 4 ||

text: Wells

text: (6-13) ||

text: Capuano

text: (5-10) || || 37,518 || 56-60|- style="background-color:#bbffbb"| 117 || August 15 || @

text: Brewers

text: || 8 – 3 ||

text: Piñeiro

text: (3-2) ||

text: Gallardo

text: (4-3) || || 33,404 || 57-60|- style="background-color:#bbffbb"| 118 || August 16 || @

text: Brewers

text: || 8 – 0 ||

text: Wainwright

text: (11-9) ||

text: Bush

text: (9-9) || || 36,062 || 58-60|- style="background-color:#ffbbbb"| 119 || August 17 || @

text: Cubs

text: || 2 – 1 ||

text: Hill

text: (7-7) ||

text: Looper

text: (10-10) ||

text: Dempster

text: (18) || 41,634 || 58-61|- style="background-color:#ffbbbb"| 120 || August 18 || @

text: Cubs

text: || 5 – 3 ||

text: Marshall

text: (6-6) ||

text: Reyes

text: (2-12) ||

text: Dempster

text: (19) || 41,369 || 58-62|- style="background-color:#bbbbbb"| -- || August 19 || @

text: Cubs

text: || colspan=5|Postponed (rain), Rescheduled for September 10 || 58-62|- style="background-color:#bbffbb"| 121 || August 20 || @

text: Cubs

text: || 6 – 4 ||

text: Piñeiro

text: (4-2) ||

text: Lilly

text: (13-6) ||

text: Isringhausen

text: (23) || 40,141 || 59-62|- style="background-color:#bbffbb"| 122 || August 21 ||

text: Marlins

text: || 5 – 2 ||

text: Percival

text: (3-0) ||

text: Benítez

text: (2-8) ||

text: Isringhausen

text: (24) || 42,059 || 60-62|- style="background-color:#bbffbb"| 123 || August 22 ||

text: Marlins

text: || 6 – 4 ||

text: Springer

text: (6-1) ||

text: Olsen

text: (9-11) ||

text: Isringhausen

text: (25) || 42,147 || 61-62|- style="background-color:#ffbbbb"| 124 || August 23 ||

text: Marlins

text: || 11 – 3 ||

text: VandenHurk

text: (4-4) ||

text: Reyes

text: (2-13) || || 42,123 || 61-63|- style="background-color:#ffbbbb"| 125 || August 24 ||

text: Braves

text: || 7 – 2 ||

text: Smoltz

text: (12-6) ||

text: Wells

text: (6-14) || || 44,032 || 61-64|- style="background-color:#bbffbb"| 126 || August 25 ||

text: Braves

text: || 5 – 4 ||

text: Springer

text: (7-1) ||

text: Hudson

text: (15-6) ||

text: Isringhausen

text: (26) || 45,441 || 62-64|- style="background-color:#bbffbb"| 127 || August 26 ||

text: Braves

text: || 4 – 1 ||

text: Wainwright

text: (12-9) ||

text: Reyes

text: (0-2) ||

text: Isringhausen

text: (27) || 43,934 || 63-64|- style="background-color:#bbffbb"| 128 || August 28 || @

text: Astros

text: || 7 – 0 ||

text: Looper

text: (11-10) ||

text: Williams

text: (8-13) || || 37,915 || 64-64|- style="background-color:#ffbbbb"| 129 || August 29 || @

text: Astros

text: || 7 – 0 ||

text: Oswalt

text: (14-6) ||

text: Wells

text: (6-15) || || 33,422 || 64-65|- style="background-color:#ffbbbb"| 130 || August 30 || @

text: Astros

text: || 2 – 1 ||

text: Albers

text: (4-6) ||

text: Piñeiro

text: (4-3) ||

text: Lidge

text: (14) || 37,520 || 64-66|- style="background-color:#bbffbb"| 131 || August 31 ||

text: Reds

text: || 8 – 5 ||

text: Flores

text: (2-0) ||

text: Majewski

text: (0-2) || || 43,564 || 65-66|- style="background-color:#bbffbb"| 132 || September 1 ||

text: Reds

text: || 11 – 3 ||

text: Wainwright

text: (13-9) ||

text: Dumatrait

text: (0-3) || || 42,356 || 66-66|- style="background-color:#bbffbb"| 133 || September 2 ||

text: Reds

text: || 3 – 2 ||

text: Looper

text: (12-10) ||

text: Arroyo

text: (7-14) ||

text: Isringhausen

text: (28) || 44,223 || 67-66|- style="background-color:#ffbbbb"| 134 || September 3 ||

text: Pirates

text: || 11 – 0 ||

text: Snell

text: (9-11) ||

text: Wells

text: (6-16) || || 42,238 || 67-67|- style="background-color:#bbffbb"| 135 || September 4 ||

text: Pirates

text: || 6 – 2 ||

text: Piñeiro

text: (5-3) ||

text: Morris

text: (8-9) ||

text: Franklin

text: (1) || 42,300 || 68-67|- style="background-color:#ffbbbb"| 136 || September 5 ||

text: Pirates

text: || 8 – 2 ||

text: Armas

text: (3-5) ||

text: Mulder

text: (0-1) || || 42,299 || 68-68|- style="background-color:#bbffbb"| 137 || September 6 ||

text: Pirates

text: || 16 – 4 (8) ||

text: Jiménez

text: (2-0) ||

text: Bullington

text: (0-1) || || 42,330 || 69-68|- style="background-color:#ffbbbb"| 138 || September 7 || @

text: D-backs

text: || 4 – 2 ||

text: Webb

text: (15-10) ||

text: Wainwright

text: (13-10) ||

text: Valverde

text: (43) || 31,225 || 69-69|- style="background-color:#ffbbbb"| 139 || September 8 || @

text: D-backs

text: || 9 – 8 ||

text: Eveland

text: (1-0) ||

text: Wellemeyer

text: (3-3) ||

text: Valverde

text: (44) || 45,931 || 69-70|- style="background-color:#ffbbbb"| 140 || September 9 || @

text: D-backs

text: || 6 – 5 ||

text: Petit

text: (3-4) ||

text: Franklin

text: (4-3) ||

text: Valverde

text: (45) || 35,136 || 69-71|- style="background-color:#ffbbbb"| 141 || September 10 || @

text: Cubs

text: || 12 – 3 ||

text: Lilly

text: (15-7) ||

text: Piñeiro

text: (5-4) || || 40,358 || 69-72|- style="background-color:#ffbbbb"| 142 || September 11 || @

text: Reds

text: || 7 – 2 ||

text: Belisle

text: (8-8) ||

text: Mulder

text: (0-2) || || 14,027 || 69-73|- style="background-color:#ffbbbb"| 143 || September 12 || @

text: Reds

text: || 5 – 1 ||

text: Arroyo

text: (9-14) ||

text: Reyes

text: (2-14) || || 16,167 || 69-74|- style="background-color:#ffbbbb"| 144 || September 13 || @

text: Reds

text: || 5 – 4 ||

text: Harang

text: (15-4) ||

text: Wells

text: (6-17) ||

text: Weathers

text: (30) || 18,018 || 69-75|- style="background-color:#ffbbbb"| 145 || September 14 ||

text: Cubs

text: || 5 – 3 ||

text: Zambrano

text: (16-12) ||

text: Wainwright

text: (13-11) ||

text: Howry

text: (8) || 45,750 || 69-76|- style="background-color:#ffbbbb"| 146 || September 15 ||

text: Cubs

text: || 3 – 2 ||

text: Wood

text: (1-1) ||

text: Franklin

text: (4-4) ||

text: Dempster

text: (27) || 45,918 || 69-77|- style="background-color:#bbffbb"| 147 || September 15 ||

text: Cubs

text: || 4 – 3 ||

text: Piñeiro

text: (6-4) ||

text: Marshall

text: (7-8) ||

text: Isringhausen

text: (29) || 45,894 || 70-77|- style="background-color:#ffbbbb"| 148 || September 16 ||

text: Cubs

text: || 4 – 2 ||

text: Marquis

text: (12-8) ||

text: Mulder

text: (0-3) ||

text: Dempster

text: (28) || 45,735 || 70-78|- style="background-color:#ffbbbb"| 149 || September 17 ||

text: Phillies

text: || 13 – 11 ||

text: Kendrick

text: (9-4) ||

text: Thompson

text: (6-6) ||

text: Rosario

text: (1) || 42,031 || 70-79|- style="background-color:#ffbbbb"| 150 || September 18 ||

text: Phillies

text: || 7 – 4 (14) ||

text: Mesa

text: (2-3) ||

text: Maroth

text: (5-7) ||

text: Condrey

text: (1) || 42,170 || 70-80|- style="background-color:#bbffbb"| 151 || September 19 ||

text: Phillies

text: || 2 – 1 (10) ||

text: Flores

text: (3-0) ||

text: Myers

text: (4-7) || || 44,337 || 71-80|- style="background-color:#ffbbbb"| 152 || September 20 ||

text: Astros

text: || 18 – 1 ||

text: Rodríguez

text: (9-13) ||

text: Looper

text: (12-11) || || 42,171 || 71-81|- style="background-color:#ffbbbb"| 153 || September 21 ||

text: Astros

text: || 6 – 3 ||

text: Backe

text: (2-1) ||

text: Piñeiro

text: (6-5) ||

text: Lidge

text: (16) || 43,677 || 71-82|- style="background-color:#bbffbb"| 154 || September 22 ||

text: Astros

text: || 7 – 4 ||

text: Thompson

text: (7-6) ||

text: Albers

text: (4-10) ||

text: Isringhausen

text: (30) || 46,237 || 72-82|- style="background-color:#bbffbb"| 155 || September 23 ||

text: Astros

text: || 4 – 3 ||

text: Jiménez

text: (3-0) ||

text: Lidge

text: (5-3) || || 46,169 || 73-82|- style="background-color:#ffbbbb"| 156 || September 24 || @

text: Brewers

text: || 13 – 5 ||

text: Bush

text: (12-10) ||

text: Wainwright

text: (13-12) || || 40,908 || 73-83|- style="background-color:#ffbbbb"| 157 || September 25 || @

text: Brewers

text: || 9 – 1 ||

text: Suppan

text: (11-12) ||

text: Looper

text: (12-12) || || 32,329 || 73-84|- style="background-color:#bbffbb"| 158 || September 26 || @

text: Brewers

text: || 7 – 3 ||

text: Thompson

text: (8-6) ||

text: Villanueva

text: (8-5) || || 32,411 || 74-84|- style="background-color:#bbffbb"| 159 || September 27 || @

text: Mets

text: || 3 – 0 ||

text: Piñeiro

text: (7-5) ||

text: Martínez

text: (3-1) ||

text: Isringhausen

text: (31) || 48,900 || 75-84|- style="background-color:#bbffbb"| 160 || September 28 || @

text: Pirates

text: || 6 – 1 ||

text: Springer

text: (8-1) ||

text: Grabow

text: (3-2) || || 30,603 || 76-84|- style="background-color:#bbffbb"| 161 || September 29 || @

text: Pirates

text: || 7 – 3 ||

text: Wainwright

text: (14-12) ||

text: Gorzelanny

text: (14-10) || || 35,169 || 77-84|- style="background-color:#bbffbb"| 162 || September 30 || @

text: Pirates

text: || 6 – 5 ||

text: Wells

text: (7-17) ||

text: Bullington

text: (0-3) ||

text: Isringhausen

text: (32) || 25,664 || 78-84

text: |-! style="color:#FFFFFF; background-color: #A780F6" | No. in

text: Monopack color films are based on the subtractive color system, which filters colors from white light by using superimposed cyan, magenta and yellow dye images. Those images are created from records of the amounts of red, green and blue light present at each point of the image formed by the camera lens. A subtractive primary color (cyan, magenta, yellow) is what remains when one of the additive primary colors (red, green, blue) has been removed from the spectrum. Eastman Kodak's monopack color films incorporated three separate layers of differently color sensitive emulsion into one strip of film. Each layer recorded one of the additive primaries and was processed to produce a dye image in the complementary subtractive primary.

text: Monopack color films are based on the subtractive color system, which filters colors from white light by using superimposed cyan, magenta and yellow dye images. Those images are created from records of the amounts of red, green and blue light present at each point of the image formed by the camera lens. A subtractive primary color (cyan, magenta, yellow) is what remains when one of the additive primary colors (red, green, blue) has been removed from the spectrum. Eastman Kodak's monopack color films incorporated three separate layers of differently color sensitive emulsion into one strip of film. Each layer recorded one of the additive primaries and was processed to produce a dye image in the

text: complementary

text: subtractive primary.

text: Almost all oral white patches are usually the result of keratosis. For this reason oral white patches are sometimes generally described as keratoses, although a minority of oral white lesions are not related to hyperkeratosis, e.g. epithelial necrosis and ulceration caused by a chemical burn (see: Oral ulceration). In keratosis, the thickened keratin layer absorbs water from saliva in the mouth and appears white in comparison with normal mucosa. Normal oral mucosa is a red-pink color due the underlying vasculature in the lamina propria showing through the thin layer of epithelium. Melanin produced in the oral mucosa also influences the color, with a darker appearance being created by higher levels of melanin in the tissues (associated with racial/physiologic pigmentation, or with disorders causing melanin overproduction such as Addison's disease). Other endogenous pigments can be overproduced to influence the color, e.g. bilirubin in hyperbilirubinemia or hemosiderin in hemochromatosis, or exogenous pigments such as heavy metals can be introduced into the mucosa, e.g. in an amalgam tattoo.

text: Almost all oral white patches are usually the result of keratosis. For this reason oral white patches are sometimes generally described as keratoses, although a minority of oral white lesions are not related to hyperkeratosis, e.g. epithelial

text: necrosis

text: and ulceration caused by a chemical burn (see:

text: Oral ulceration

text: ). In keratosis, the thickened keratin layer absorbs water from saliva in the mouth and appears white in comparison with normal mucosa. Normal oral mucosa is a red-pink color due the underlying vasculature in the

text: lamina propria

text: showing through the thin layer of epithelium. Melanin produced in the oral mucosa also influences the color, with a darker appearance being created by higher levels of melanin in the tissues (associated with racial/physiologic pigmentation, or with disorders causing melanin overproduction such as

text: Addison's disease

text: ). Other endogenous pigments can be overproduced to influence the color, e.g.

text: bilirubin

text: in

text: hyperbilirubinemia

text: or

text: hemosiderin

text: in

text: hemochromatosis

text: , or exogenous pigments such as heavy metals can be introduced into the mucosa, e.g. in an

text: amalgam tattoo

text: Many minerals provide pigments which have been used in green paints and dyes over the centuries. Pigments, in this case, are minerals which reflect the color green, rather that emitting it through luminescent or phosphorescent qualities. The large number of green pigments makes it impossible to mention them all. Among the more notable green minerals, however is the emerald, which is colored green by trace amounts of chromium and sometimes vanadium. Chromium(III) oxide (CrO), is called chrome green, also called viridian or institutional green when used as a pigment. For many years, the source of amazonite's color was a mystery. Widely thought to have been due to copper because copper compounds often have blue and green colors, the blue-green color is likely to be derived from small quantities of lead and water in the feldspar. Copper is the source of the green color in malachite pigments, chemically known as basic copper(II) carbonate.

text: Many minerals provide

text: pigment

text: s which have been used in green paints and dyes over the centuries. Pigments, in this case, are minerals which reflect the color green, rather that emitting it through

text: luminescent

text: or

text: phosphorescent

text: qualities. The large number of green pigments makes it impossible to mention them all. Among the more notable green minerals, however is the

text: emerald

text: , which is colored green by trace amounts of

text: chromium

text: and sometimes

text: vanadium

text: . Chromium(III) oxide (CrO), is called

text: chrome green

text: , also called

text: viridian

text: or institutional green when used as a pigment. For many years, the source of

text: amazonite's

text: color was a mystery. Widely thought to have been due to

text: copper

text: because copper compounds often have blue and green colors, the blue-green color is likely to be derived from small quantities of

text: lead

text: and water in the

text: feldspar

text: . Copper is the source of the green color in

text: malachite

text: pigments, chemically known as basic

text: copper(II) carbonate

text: Red-violet or pigment purple (pigment red-violet) represents the way the color purple (red-violet) was normally reproduced in pigments, paints, or colored pencils in the 1950s on an old-fashioned RYB color wheel. This color is displayed at right and is identical to the web color medium violet red.

text: Red-violet or pigment purple (pigment red-violet) represents the way the color purple (red-violet) was normally reproduced in pigments, paints, or colored

text: pencil

text: s in the 1950s on an old-fashioned

text: RYB color wheel

text: . This color is displayed at right and is identical to the

text: web color

text: medium violet red.

text: Both of these technologies are offered in a stacked die format (PureCel-S and PureCelPlus-S). This stacked die methodology separates the imaging array from the image sensor processing pipeline into a stacked die structure, allowing for additional functionality to be implemented on the sensor while providing for much smaller die sizes compared to non-stacked sensors. When compared with other BSI image sensor technologies, PureCel technology has demonstrated reduced pixel cross talk, minimized color, crosstalk and color noise, and improved color reproduction under low-light conditions.

text: |-| | style="background:#BB0000;color:#FFFFFF;"| 6 || style="background:#BB0000;color:#FFFFFF;"| 6 || style="background:#BB0000;color:#FFFFFF;"| 38.2 || .430 || .500 || .750 || 6.0 || 2.2 || style="background:#BB0000;color:#FFFFFF;"| 1.2 || style="background:#BB0000;color:#FFFFFF;"| 1.8 || style="background:#BB0000;color:#FFFFFF;"| 19.0|-| | style="background:#BB0000;color:#FFFFFF;"| 6 || style="background:#BB0000;color:#FFFFFF;"| 6 || 23.2 || .459 || .429 || .750 || 3.2 || .8 || .3 || .0 || 8.2|-| | style="background:#BB0000;color:#FFFFFF;"| 6 || 2 || 27.7 || .431 || .400 || .792 || 2.7 || 3.8 || .3 || .0 || 13.5|-| | style="background:#BB0000;color:#FFFFFF;"| 6 || style="background:#BB0000;color:#FFFFFF;"| 6 || 29.7 || .421 || .000 || .500 || style="background:#BB0000;color:#FFFFFF;"| 10.0 || 2.3 || .7 || 1.2 || 5.8|-| | 5 || 0 || 8.4 || style="background:#BB0000;color:#FFFFFF;"| .600 || .00 || .833 || 2.6 || .0 || 1.0 || .0 || 4.6|-| | 2 || 0 || 3.5 || .000 || .000 || .000 || .0 || 1.0 || .0 || .0 || .0|-| | style="background:#BB0000;color:#FFFFFF;"| 6 || 3 || 19.8 || .444 || .478 || .750 || 1.7 || 1.3 || .2 || .0 || 6.8|-| | style="background:#BB0000;color:#FFFFFF;"| 6 || 0 || 14.5 || .526 || .000 || .000 || 2.7 || .7 || .2 || .2 || 3.3|-| | style="background:#BB0000;color:#FFFFFF;"| 6 || style="background:#BB0000;color:#FFFFFF;"| 6 || 35.0 || .405 || .429 || .775 || 3.2 || style="background:#BB0000;color:#FFFFFF;"| 5.8 || style="background:#BB0000;color:#FFFFFF;"| 1.2 || .2 || 15.7|-| | 3 || 0 || 4.0 || .500 || style="background:#BB0000;color:#FFFFFF;"| 1.000 || style="background:#BB0000;color:#FFFFFF;"| 1.000 || .0 || 1.0 || .0 || .0 || 2.0|-| | 0 || 0 || .0 || .000 || .000 || .000 || .0 || .0 || .0 || .0 || .0|-| | 3 || 0 || 5.7 || .500 || .00 || .750 || .7 || .0 || .7 || 1.0 || 2.3|-| | 0 || 0 || .0 || .000 || .000 || .000 || .0 || .0 || .0 || .0 || .0|-| | 3 || 1 || 27.7 || .303 || .167 || .778 || 2.3 || 1.7 || .0 || .0 || 9.7|-| | style="background:#BB0000;color:#FFFFFF;"| 6 || 0 || 25.3 || .423 || .294 || .556 || 4.3 || .7 || .8 || .5 || 9.8|}

text: Analogous colors (also called Dominance Harmony) color scheme are groups of colors that are adjacent to each other on the color wheel, with one being the dominant color, which tends to be a primary or secondary color, and two on either side complementing, which tend to be tertiary.

text: Analogous colors (also called Dominance Harmony) color scheme are groups of colors that are adjacent to each other on the color wheel, with one being the dominant color, which tends to be a

text: primary

text: or

text: secondary

text: color, and two on either side complementing, which tend to be

text: tertiary

text: In the subtractive color system, or CMYK (subtractive), which can be overlaid to produce all colors in paint and color printing, cyan is one of the primary colors, along with magenta, yellow, and black. In the additive color system, or RGB (additive) color model, used to create all the colors on a computer or television display, cyan is made by mixing equal amounts of green and blue light. Cyan is the complement of red; it can be made by the removal of red from white light. Mixing red light and cyan light at the right intensity on a black screen will make white.

text: In the

text: subtractive color

text: system, or

text: CMYK (subtractive)

text: , which can be overlaid to produce all colors in paint and color printing, cyan is one of the

text: primary colors

text: , along with

text: magenta

text: yellow

text: , and

text: black

text: . In the

text: additive color

text: system, or

text: RGB (additive)

text: color model, used to create all the colors on a computer or television display, cyan is made by mixing equal amounts of

text: green

text: and

text: blue

text: light

text: . Cyan is the

text: complement

text: of

text: red

text: ; it can be made by the removal of red from white light. Mixing red light and cyan light at the right intensity on a black screen will make

text: white

text: Synthetic pigments are also now available.  Natural pigments have the advantage of being well understood through centuries of use, but synthetics have greatly increased the spectrum of available colors, and many are tested well for their lightfastness.

text: Synthetic

text: pigments are also now available.  Natural pigments have the advantage of being well understood through centuries of use, but synthetics have greatly increased the spectrum of available colors, and many are tested well for their

text: lightfastness

text: In classical times, cerulean was used to describe blue pigments, particularly mixtures of copper and cobaltous oxides, like azurite and smalt. These early attempts to create sky blue colors were often less than satisfactory due to a limited saturation and the tendency to discolour in reaction with other pigments. When the pigment cerulean blue (shown in the color box to the left) was discovered, it became a useful addition to Prussian blue, cobalt blue and synthetic ultramarine which already had superseded the prior pigments. See also Tekhelet.

text: In classical times, cerulean was used to describe blue

text: pigment

text: s, particularly mixtures of

text: copper

text: and

text: cobalt

text: ous

text: oxide

text: s, like

text: azurite

text: and

text: smalt

text: . These early attempts to create sky blue colors were often less than satisfactory due to a limited saturation and the tendency to discolour in reaction with other pigments. When the pigment cerulean blue (shown in the color box to the left) was discovered, it became a useful addition to

text: Prussian blue

text: cobalt blue

text: and synthetic

text: ultramarine

text: which already had superseded the prior pigments. See also

text: Tekhelet

text: UML color standards are a set of four colors associated with Unified Modeling Language (UML) diagrams. The coloring system indicates which of several archetypes apply to the UML object. UML typically identifies a stereotype with a bracketed comment for each object identifying whether it is a class, interface, etc.

text: UML color standards are a set of four colors associated with

text: Unified Modeling Language

text: (UML) diagrams. The coloring system indicates which of several archetypes apply to the UML object. UML typically identifies a

text: stereotype

text: with a bracketed comment for each object identifying whether it is a class, interface, etc.

text: A color wheel is a tool that provides a visual representation of the relationships between all possible hues. The primary colors are arranged around a circle at equal (120 degree) intervals. (Warning: Color wheels frequently depict "Painter's Colors" primary colors, which leads to a different set of hues than additive colors.) The illustration shows a simple color wheel based on the additive colors. Note that the position (top, right) of the starting color, typically red, is arbitrary, as is the order of green and blue (clockwise, counter-clockwise). The illustration also shows the secondary colors, yellow, cyan, and magenta, located halfway between (60 degrees) the primary colors.

text: Many animals readily classify objects by perceived differences in form or color.  For example, bees or pigeons quickly learn to choose any red object and reject any green object if red leads to reward and green does not.  Seemingly much more difficult is an animal's ability to categorize natural objects that vary a great deal in color and form even while belonging to the same group.   In a classic study, Richard J. Herrnstein trained pigeons to respond to the presence or absence of human beings in photographs.  The birds readily learned to peck photos that contained partial or full views of humans and to avoid pecking photos with no human, despite great differences in the form, size, and color of both the humans displayed and in the non-human pictures.  In follow-up studies, pigeons categorized other natural objects (e.g. trees) and after training they were able without reward to sort photos they had not seen before .  Similar work has been done with natural auditory categories, for example, bird songs.  Honeybees (Apis mellifera) are able to form concepts of "up" and "down".

text: Many animals readily classify objects by perceived differences in form or color.  For example, bees or pigeons quickly learn to choose any red object and reject any green object if red leads to reward and green does not.  Seemingly much more difficult is an animal's ability to categorize natural objects that vary a great deal in color and form even while belonging to the same group.   In a classic study,

text: Richard J. Herrnstein

text: trained pigeons to respond to the presence or absence of human beings in photographs.  The birds readily learned to peck photos that contained partial or full views of humans and to avoid pecking photos with no human, despite great differences in the form, size, and color of both the humans displayed and in the non-human pictures.  In follow-up studies, pigeons categorized other natural objects (e.g. trees) and after training they were able without reward to sort photos they had not seen before .  Similar work has been done with natural auditory categories, for example, bird songs.  Honeybees (

text: Apis mellifera

text: ) are able to form concepts of "up" and "down".

text: Colors vary in several different ways, including hue (shades of red, orange, yellow, green, blue, and violet), saturation, brightness, and gloss. Some color words are derived from the name of an object of that color, such as "orange" or "salmon", while others are abstract, like "red".

text: Colors vary in several different ways, including

text: hue

text: (shades of

text: red

text: orange

text: yellow

text: green

text: blue

text: , and

text: violet

text: saturation

text: brightness

text: , and

text: gloss

text: . Some color words are derived from the name of an object of that color, such as "

text: orange

text: " or "

text: salmon

text: ", while others are abstract, like "red".

text: That night, Cody takes advice from Barney and wishes for a real adventure for that summer, and to do something no one has ever done before. A shooting star deposits a large colorful egg in the barn which Cody discovers in the morning. Barney and the kids go to tell the grandparents about this, but Barney is distracted by Fig's crying. Grandma suggests to Abby and Marcella that they go see Mrs. Goldfinch. Cody finds Barney who has just changed Fig's wet diaper and takes him to see his grandparents. However, Abby and Marcella take Cody and Barney to see Mrs. Goldfinch, who tells them that the egg is a dream maker. Cody accidentally knocks the egg off the table which lands on a birdseed truck. Barney and the others try to recover it through a parade as the egg narrowly avoids being stomped or cracked by the parade's participants as the egg's five colors begin to reveal itself, one color at a time. Barney's friend B.J. catches it when it almost lands on the ground, but accidentally tosses it away. Barney and the gang chase the egg throughout a French restaurant, a circus, and fly through the sky on an airplane to continue their pursuit of the egg which is in a hot air balloon. All the while, Baby Bop is looking for her small, yellow blanket, and B.J. and Baby Bop arrive just in time to see the egg hatch.

text: That night, Cody takes advice from Barney and wishes for a real adventure for that summer, and to do something no one has ever done before. A

text: shooting star

text: deposits a large colorful egg in the barn which Cody discovers in the morning. Barney and the kids go to tell the grandparents about this, but Barney is distracted by Fig's crying. Grandma suggests to Abby and Marcella that they go see Mrs. Goldfinch. Cody finds Barney who has just changed Fig's wet diaper and takes him to see his grandparents. However, Abby and Marcella take Cody and Barney to see Mrs. Goldfinch, who tells them that the egg is a dream maker. Cody accidentally knocks the egg off the table which lands on a birdseed truck. Barney and the others try to recover it through a parade as the egg narrowly avoids being stomped or cracked by the parade's participants as the egg's five colors begin to reveal itself, one color at a time. Barney's friend B.J. catches it when it almost lands on the ground, but accidentally tosses it away. Barney and the gang chase the egg throughout a French restaurant, a circus, and fly through the sky on an airplane to continue their pursuit of the egg which is in a hot air balloon. All the while, Baby Bop is looking for her small, yellow blanket, and B.J. and Baby Bop arrive just in time to see the egg hatch.

text: The cause which had hitherto prevented the accurate determination of the power of a given medium to refract the rays of light and separate the different colors which they contain was chiefly the circumstance that the colors of the spectrum have no precise limits, and that the transition from one to another is gradual and not immediate; hence, the angle of refraction could not be accurately measured. To obviate this, Fraunhofer made a series of experiments for the purpose of producing homogeneous light artificially, and unable to effect his object in a direct way, he did so by means of lamps and prisms.

text: The cause which had hitherto prevented the accurate determination of the power of a given medium to refract the rays of light and separate the different colors which they contain was chiefly the circumstance that the

text: color

text: s of the

text: spectrum

text: have no precise limits, and that the transition from one to another is gradual and not immediate; hence, the angle of refraction could not be accurately measured. To obviate this, Fraunhofer made a series of experiments for the purpose of producing

text: homogeneous light

text: artificially, and unable to effect his object in a direct way, he did so by means of lamps and

text: prism

text: s.

text: See the chart Color name clashes in the X11 color names article to see those colors which are different in HTML/CSS and X11.

text: See the chart

text: Color name clashes

text: in the X11 color names article to see those colors which are different in HTML/CSS and X11.

text: Pigment is a finely ground, particulate substance which, when mixed or ground into a liquid to make ink or paint, does not dissolve, but remains dispersed or suspended in the liquid. Pigments are categorized as either inorganic (mineral) or organic (synthetic).

text: Pigment is a finely ground, particulate substance which, when mixed or ground into a liquid to make ink or paint, does not dissolve, but remains dispersed or suspended in the liquid. Pigments are categorized as either

text: inorganic

text: (mineral) or organic (synthetic).

text: Usually, colors with the same hue are distinguished with adjectives referring to their lightness and/or colorfulness, such as with "light blue", "pastel blue", "vivid blue". Exceptions include brown, which is a dark orange,  and pink, a light red with reduced chroma.

text: Usually, colors with the same hue are distinguished with adjectives referring to their lightness and/or colorfulness, such as with "light blue", "pastel blue", "vivid blue". Exceptions include

text: brown

text: , which is a dark

text: orange

text: ,  and

text: pink

text: , a light red with reduced chroma.

text: |- style="background-color:#bbffbb"| 1 || April 3 || @ Giants || 7 - 0 || Peavy (1-0) || Zito (0-1) || || 42,773 || 1-0|- style="background-color:#bbffbb"| 2 || April 4 || @ Giants || 5 - 3 || Meredith (1-0) || Hennessey (0-1) || Hoffman (1) || 39,938 || 2-0|- style="background-color:#ffbbbb"| 3 || April 5 || @ Giants || 5 - 3 || Morris (1-0) || Hensley (0-1)|| Benítez (1) || 37,914 || 2-1|- style="background-color:#ffbbbb"| 4 || April 6 || Rockies || 4 - 3 || Hirsh (1-0) || Maddux (0-1) || Fuentes (1) || 44,267 || 2-2|- style="background-color:#bbffbb"| 5 || April 7 || Rockies || 3 - 2 || Hoffman (1-0) || Corpas (0-1) || || 40,504 || 3-2|- style="background-color:#bbffbb"| 6 || April 8 || Rockies || 2 - 1 (10) || Linebrink (1-0) || Hawkins (0-2) || || 27,086 || 4-2|- style="background-color:#bbffbb"| 7 || April 9 || Giants || 1 - 0 || Young (1-0) || Cain (0-1) || Hoffman (2) || 31,388 || 5-2|- style="background-color:#ffbbbb"| 8 || April 10 || Giants || 6 - 5 || Morris (2-0) || Hensley (0-2) || Benítez (2) || 28,878 || 5-3|- style="background-color:#bbffbb"| 9 || April 11 || Giants || 4 - 0 || Maddux (1-1) || Lowry (0-2) || || 31,568 || 6-3|- style="background-color:#ffbbbb"| 10 || April 13 || @ Dodgers || 9 - 1 || Lowe (2-1) || Wells (0-1) || || 49,090 || 6-4|- style="background-color:#bbffbb"| 11 || April 14 || @ Dodgers || 7 - 2 || Peavy (2-0) || Schmidt (1-2) || || 55,942 || 7-4|- style="background-color:#ffbbbb"| 12 || April 15 || @ Dodgers || 9 - 3 || Wolf (2-1) || Young (1-1) || || 55,298 || 7-5|- style="background-color:#ffbbbb"| 13 || April 16 || @ Cubs || 12 - 4 || Marquis (1-1) || Hensley (0-3) || || 32,126 || 7-6|- style="background-color:#bbffbb"| 14 || April 17 || @ Cubs || 4 - 3 (14) || Brocail (1-0) || Ohman (0-1) || Hoffman (3) || 36,021 || 8-6|- style="background-color:#ffbbbb"| 15 || April 18 || D-backs || 5 - 2 (12) || Peña (1-1) || Thompson (0-1) || Valverde (7) || 26,872 || 8-7|- style="background-color:#bbffbb"| 16 || April 19 || D-backs || 11 - 6 || Peavy (3-0) || Hernández (1-1) || || 32,224 || 9-7|- style="background-color:#bbffbb"| 17 || April 20 || @ Rockies || 11 - 1 || Young (2-1) || Fogg (0-1) || || 22,338 || 10-7|- style="background-color:#bbffbb"| 18 || April 21 || @ Rockies || 7 - 3 || Hensley (1-3) || Francis (1-2) || || 22,795 || 11-7|- style="background-color:#ffbbbb"| 19 || April 22 || @ Rockies || 4 - 2 || Hirsh (2-1) || Maddux (1-2) || Fuentes (4) || 25,746 || 11-8|- style="background-color:#bbffbb"| 20 || April 24 || @ D-backs || 10 - 5 || Wells (1-1) || Johnson (0-1) || Hoffman (4) || 19,508 || 12-8|- style="background-color:#ffbbbb"| 21 || April 25 || @ D-backs || 3 - 2 || Peña (2-1) || Hoffman (1-1) || || 18,307 || 12-9|- style="background-color:#ffbbbb"| 22 || April 26 || @ D-backs || 7 - 4 || Hernández (2-1) || Young (2-2) || Valverde (8) || 16,792 || 12-10|- style="background-color:#ffbbbb"| 23 || April 27 || Dodgers || 6 - 5 || Seánez (1-0) || Hoffman (1-2) || Saito (7) || 44,035 || 12-11|- style="background-color:#bbffbb"| 24 || April 28 || Dodgers || 3 - 2 || Maddux (2-2) || Tomko (0-2) || Hoffman (5) || 42,385 || 13-11|- style="background-color:#ffbbbb"| 25 || April 29 || Dodgers || 5 - 4 (17) || Billingsley (1-0) || Hampson (0-1) || || 44,028 || 13-12|- style="background-color:#ffbbbb"| 26 || April 30 || Nationals || 3 - 2 || Patterson (1-4) || Peavy (3-1) || Cordero (4) || 19,769 || 13-13|- style="background-color:#bbffbb"| 27 || May 1 || Nationals || 3 - 0 || Young (3-2) || Hill (2-3) || Hoffman (6) || 19,438 || 14-13|- style="background-color:#bbffbb"| 28 || May 2 || Nationals || 7 - 3 || Brocail (2-0) || Chico (2-3) || || 22,153 || 15-13|- style="background-color:#ffbbbb"| 29 || May 4 || @ Marlins || 5 - 4 || Tankersley (1-0) || Linebrink (1-1) || Owens (4) || 24,691 || 15-14|- style="background-color:#bbffbb"| 30 || May 5 || @ Marlins || 7 - 6 (12) || Hampson (1-1) || Gardner (0-2) || Hoffman (7) || 21,381 || 16-14|- style="background-color:#bbffbb"| 31 || May 6 || @ Marlins || 3 - 1 || Peavy (4-1) || Olsen (3-2) || Hoffman (8) || 15,310 || 17-14|- style="background-color:#bbffbb"| 32 || May 7 || @ Braves || 4 - 2 || Young (4-2) || James (3-3) || Hoffman (9) || 19,189 || 18-14|- style="background-color:#ffbbbb"| 33 || May 8 || @ Braves || 3 - 2 || González (2-0) || Bell (0-1) || Soriano (3) || 21,748 || 18-15|- style="background-color:#ffbbbb"| 34 || May 9 || @ Braves || 3 - 2 || Smoltz (5-1) || Meredith (1-1) || Soriano (4) || 36,523 || 18-16|- style="background-color:#ffbbbb"| 35 || May 10 || @ Braves || 5 - 3 || Hudson (4-1) || Wells (1-2) || Soriano (5) || 28,799 || 18-17|- style="background-color:#bbffbb"| 36 || May 11 || Cardinals || 7 - 0 || Peavy (5-1) || Wells (1-7) || || 38,901 || 19-17|- style="background-color:#ffbbbb"| 37 || May 12 || Cardinals || 5 - 0 || Looper (5-2) || Young (4-3) || || 44,082 || 19-18|- style="background-color:#bbffbb"| 38 || May 13 || Cardinals || 3 - 0 || Germano (1-0) || Reyes (0-6) || Hoffman (10) || 36,616 || 20-18|- style="background-color:#bbffbb"| 39 || May 14 || Reds || 7 - 1 || Maddux (3-2) || Belisle (3-3) || || 20,262 || 21-18|- style="background-color:#ffbbbb"| 40 || May 15 || Reds || 2 - 1 (12) || Weathers (1-2) || Bell (0-2) || || 26,694 || 21-19|- style="background-color:#bbffbb"| 41 || May 16 || Reds || 3 - 2 || Hoffman (2-2) || Arroyo (2-4) || || 23,856 || 22-19|- style="background-color:#bbffbb"| 42 || May 18 || @ Mariners || 8 - 1 || Young (5-3) || Batista (3-4) || || 39,531 || 23-19|- style="background-color:#ffbbbb"| 43 || May 19 || @ Mariners || 7 - 4 || Ramírez (4-2) || Maddux (3-3) || Putz (10) || 34,287 || 23-20|- style="background-color:#bbffbb"| 44 || May 20 || @ Mariners || 2 - 1 || Germano (2-0) || Hernández (2-2) || Hoffman (11) || 38,844 || 24-20|- style="background-color:#bbffbb"| 45 || May 22 || Cubs || 5 - 1 || Peavy (6-1) || Hill (4-4) || Hoffman (12) || 26,192 || 25-20|- style="background-color:#bbffbb"| 46 || May 23 || Cubs || 2 - 1 || Wells (2-2) || Marshall (0-1) || Hoffman (13) || 27,535 || 26-20|- style="background-color:#ffbbbb"| 47 || May 24 || Cubs || 3 - 1 || Howry (2-3) || Meredith (1-2) || Dempster (10) || 32,258 || 26-21|- style="background-color:#bbffbb"| 48 || May 25 || Brewers || 8 - 6 || Maddux (4-3) || Bush (3-5) || Linebrink (1) || 32,130 || 27-21|- style="background-color:#bbffbb"| 49 || May 26 || Brewers || 6 - 3 || Germano (3-0) || Vargas (3-1) || Hoffman (14) || 35,975 || 28-21|- style="background-color:#bbffbb"| 50 || May 27 || Brewers || 3 - 0 || Peavy (7-1) || Suppan (6-5) || Hoffman (15) || 41,246 || 29-21|- style="background-color:#ffbbbb"| 51 || May 29 || @ Pirates || 4 - 1 || Gorzelanny (6-3) || Wells (2-3) || Torres (12) || 15,794 || 29-22|- style="background-color:#bbffbb"| 52 || May 30 || @ Pirates || 9 - 0 || Young (6-3) || Maholm (2-7) || || 12,734 || 30-22|- style="background-color:#bbffbb"| 53 || May 31 || @ Pirates || 4 - 2 (11) || Meredith (3-2) || Sharpless (0-1) || Hoffman (16) || 14,966 || 31-22|- style="background-color:#ffbbbb"| 54 || June 1 || @ Nationals || 4 - 3 (10) || Rauch (3-1) || Meredith (2-3) || || 22,354 || 31-23|- style="background-color:#bbffbb"| 55 || June 2 || @ Nationals || 11 - 3 || Germano (4-0) || Speigner (1-2) || || 21,635 || 32-23|- style="background-color:#bbffbb"| 56 || June 3 || @ Nationals || 7 - 3 || Wells (3-3) || Simontacchi (2-4) || || 26,967 || 33-23|- style="background-color:#bbffbb"| 57 || June 5 || Dodgers || 1 - 0 || Linebrink (2-1) || Seánez (2-1) || Hoffman (17) || 31,703 || 34-23|- style="background-color:#bbffbb"| 58 || June 6 || Dodgers || 5 - 2 || Maddux (5-3) || Wolf (7-4) || Hoffman (18) || 31,541 || 35-23|- style="background-color:#bbffbb"| 59 || June 7 || Dodgers || 6 - 5 || Hampson (2-1) || Broxton (2-2) || || 40,631 || 36-23|- style="background-color:#ffbbbb"| 60 || June 8 || Mariners || 6 - 5 (11) || O'Flaherty (2-0) || Meredith (2-4) || Putz (16) || 44,325 || 36-24|- style="background-color:#ffbbbb"| 61 || June 9 || Mariners || 6 - 5 || Green (1-1) || Brocail (2-1) || Putz (17) || 37,178 || 36-25|- style="background-color:#ffbbbb"| 62 || June 10 || Mariners || 4 - 3 || Batista (7-4) || Hoffman (2-3) || Putz (18) || 35,950 || 36-26|- style="background-color:#ffbbbb"| 63 || June 12 || @ Devil Rays || 11 - 4 || Fossum (4-6) || Meredith (2-5)|| || 12,870 || 36-27|- style="background-color:#bbffbb"| 64 || June 13 || @ Devil Rays || 9 - 0 || Peavy (8-1) || Jackson (0-8) || || 12,020 || 37-27|- style="background-color:#bbffbb"| 65 || June 14 || @ Devil Rays || 7 - 1 || Germano (5-0) || Howell (1-1) || || 19,270 || 38-27|- style="background-color:#ffbbbb"| 66 || June 15 || @ Cubs || 4 - 1 || Lilly (5-4) || Wells (3-4) || Dempster (15) || 40,479 || 38-28|- style="background-color:#bbffbb"| 67 || June 16 || @ Cubs || 1 - 0 || Bell (1-2) || Zambrano (7-6) || Hoffman (19) || 41,632 || 39-28|- style="background-color:#bbffbb"| 68 || June 17 || @ Cubs || 11 - 3 || Maddux (6-4) || Hill (5-5) || || 40,964 || 40-28|- style="background-color:#bbffbb"| 69 || June 19 || Orioles || 12 - 6 || Peavy (9-1) || Trachsel (5-5) || || 38,181 || 41-28|- style="background-color:#ffbbbb"| 70 || June 20 || Orioles || 7 - 1 || Guthrie (4-1) || Germano (5-1) || || 26,931 || 41-29|- style="background-color:#ffbbbb"| 71 || June 21 || Orioles || 6 - 3 || Bédard (5-4) || Wells (3-5) || || 40,680 || 41-30|- style="background-color:#ffbbbb"| 72 || June 22 || Red Sox || 2 - 1 || Matsuzaka (9-5) || Maddux (6-4) || Papelbon (17) || 44,405 || 41-31|- style="background-color:#bbffbb" | 73 || June 23 || Red Sox || 6 - 1 || Young (7-3) || Wakefield (7-8) || || 44,457 || 42-31|- style="background-color:#ffbbbb"| 74 || June 24 || Red Sox || 4 - 2 || Beckett (11-1) || Peavy (9-2) || Papelbon (18) || 44,449 || 42-32|- style="background-color:#ffbbbb"| 75 || June 25 || @ Giants || 4 - 3 (11) || Chulk (3-2) || Hampson (2-2) || || 41,140 || 42-33|- style="background-color:#bbffbb"| 76 || June 26 || @ Giants || 3 - 2 (10) || Meredith (3-5) || Messenger (1-2) || Hoffman (20) || 41,329 || 43-33|- style="background-color:#bbffbb"| 77 || June 27 || @ Giants || 4 - 2 || Maddux (7-4) || Cain (2-9) || Hoffman (21) || 42,527 || 44-33|- style="background-color:#bbffbb"| 78 || June 29 || @ Dodgers || 7 - 6 || Young (8-3) || Kuo (1-4) || Hoffman (22) || 52,050 || 45-33|- style="background-color:#bbffbb"| 79 || June 30 || @ Dodgers || 3 - 1 (12) || Ring (1-0) || Tomko (1-6) || Hoffman (23) || 53,769 || 46-33|- style="background-color:#ffbbbb"| 80 || July 1 || @ Dodgers || 5 - 0 || Billingsley (5-0) || Germano (5-2) || || 48,632 || 46-34|- style="background-color:#bbffbb"| 81 || July 2 || Marlins || 3 - 1 || Wells (4-5) || Mitre (2-4) || Hoffman (24) || 25,857 || 47-34|- style="background-color:#ffbbbb"| 82 || July 3 || Marlins || 6 - 4 || Miller (3-0) || Maddux (7-5) || Gregg (16) || 34,488 || 47-35|- style="background-color:#bbffbb"| 83 || July 4 || Marlins || 1 - 0 || Bell (2-2) || Lindstrom (1-3) || || 27,491 || 48-35|- style="background-color:#ffbbbb"| 84 || July 5 || Marlins || 3 - 2 || Kim (4-4) || Peavy (9-3) || Gregg (17) || 32,496 || 48-36|- style="background-color:#ffbbbb"| 85 || July 6 || Braves || 7 - 4 || Carlyle (3-2) || Germano (5-3) || || 37,526 || 48-37|- style="background-color:#bbffbb"| 86 || July 7 || Braves || 8 - 5 || Bell (3-2) || Yates (2-1) || Hoffman (25) || 41,419 || 49-37|- style="background-color:#ffbbbb"| 87 || July 8 || Braves || 5 - 4 || Davies (4-7) || Maddux (7-6) || || 41,026 || 49-38|- style="background-color:#ffbbbb"| 88 || July 13 || @ D-backs || 8 - 3 || Davis (6-10) || Maddux (7-7) || || 30,981 || 49-39|- style="background-color:#ffbbbb"| 89 || July 14 || @ D-backs || 5 - 4 || Lyon (6-3) || Linebrink (2-2) || Valverde (27) || 36,833 || 49-40|- style="background-color:#bbffbb"| 90 || July 15 || @ D-backs || 4 - 0 || Germano (6-3) || Webb (8-7) || || 30,343 || 50-40|- style="background-color:#bbffbb"| 91 || July 16 || Mets || 5 - 1 || Wells (5-5) || Sosa (7-4) || || 35,802 || 51-40|- style="background-color:#ffbbbb"| 92 || July 17 || Mets || 7 - 0 || Hernández (6-4) || Peavy (9-4) || || 31,660 || 51-41|- style="background-color:#bbffbb"| 93 || July 18 || Mets || 5 - 4 || Linebrink (3-2) || Smith (2-1) || Hoffman (26) || 32,524 || 52-41|- style="background-color:#bbffbb"| 94 || July 19 || Phillies || 1 - 0 || Young (9-3) || Hamels (11-5) || Hoffman (27) || 30,885 || 53-41|- style="background-color:#ffbbbb"| 95 || July 20 || Phillies || 7 - 3 || Eaton (9-6) || Germano (6-4) || Alfonseca (7) || 36,113 || 53-42|- style="background-color:#ffbbbb"| 96 || July 21 || Phillies || 12 - 4 || Moyer (8-8) || Wells (5-6) || || 40,917 || 53-43|- style="background-color:#ffbbbb"| 97 || July 22 || Phillies || 9 - 0 || Durbin (2-2) || Peavy (9-5) || || 37,986 || 53-44|- style="background-color:#ffbbbb"| 98 || July 23 || @ Rockies || 7 - 5 || Buchholz (5-3) || Linebrink (3-3) || Corpas (5) || 31,047 || 53-45|- style="background-color:#bbffbb"| 99 || July 24 || @ Rockies || 5 - 3 || Bell (4-2) || Ramírez (2-2) || Hoffman (28) || 37,127 || 54-45|- style="background-color:#ffbbbb"| 100 || July 25 || @ Rockies || 10 - 2 || Cook (7-6) || Germano (6-5) || || 28,162 || 54-46|- style="background-color:#ffbbbb"| 101 || July 26 || @ Astros || 7 - 1 || Rodríguez (7-9) || Wells (5-7) || || 33,718 || 54-47|- style="background-color:#bbffbb"| 102 || July 27 || @ Astros || 9 - 4 || Peavy (10-5) || Williams (5-12) || || 39,996 || 55-47|- style="background-color:#ffbbbb"| 103 || July 28 || @ Astros || 3 - 1 || Oswalt (10-6) || Maddux (7-8) || Lidge (6) || 42,651 || 55-48|- style="background-color:#bbffbb"| 104 || July 29 || @ Astros || 18-11 || Brocail (3-1) || Jennings (2-7) || || 39,350 || 56-48|- style="background-color:#ffbbbb"| 105 || July 31 || D-backs || 4 - 0 || Webb (10-8) || Germano (6-6) || || 32,086 || 56-49|- style="background-color:#ffbbbb"| 106 || August 1 || D-backs || 9 - 5 (11) || Valverde (1-3) || Bell (4-3) || || 30,416 || 56-50|- style="background-color:#bbffbb"| 107 || August 2 || D-backs || 11 - 0 || Peavy (11-5) || Petit (2-3) || || 37,119 || 57-50|- style="background-color:#bbffbb"| 108 || August 3 || Giants || 4 - 3 (10) || Bell (5-3) || Taschner (2-1) || || 43,523 || 58-50|- style="background-color:#bbffbb"| 109 || August 4 || Giants || 3 - 2 (12) || Meredith (4-5) || Messenger (1-4) || || 42,497 || 59-50|- style="background-color:#bbffbb"| 110 || August 5 || Giants || 5 - 4 || Brocail (4-1) || Chulk (4-3) || Hoffman (29) || 42,438 || 60-50|- style="background-color:#ffbbbb"| 111 || August 6 || @ Cardinals || 10 - 5 ||Looper (9-9) ||Wells (5-8) || || 42,743 || 60-51|- style="background-color:#bbffbb"| 112 || August 7 || @ Cardinals || 4 - 0 || Peavy (12-5) ||Reyes (1-11) || || 42,846 || 61-51|- style="background-color:#ffbbbb"| 113 || August 8 || @ Cardinals || 2 - 1 || Wells (5-13) || Maddux (7-9) || Isringhausen (22) || 42,138 || 61-52|- style="background-color:#ffbbbb"| 114 || August 9 || @ Cardinals || 5 - 0 || Piñeiro (2-2) || Young (9-4) || || 42,848 || 61-53|- style="background-color:#bbffbb"| 115 || August 10 || @ Reds || 12 - 7 (11) || Cameron (1-0) || Weathers (2-4) || || 21,594 || 62-53|- style="background-color:#ffbbbb"| 116 || August 11 || @ Reds || 8 - 3 || Livingston (3-2) || Hampson (2-3) || || 27,381 || 62-54|- style="background-color:#bbffbb"| 117 || August 12 || @ Reds || 10 - 4 || Peavy (13-5) || Arroyo (5-13) || || 31,297 || 63-54|- style="background-color:#bbffbb"| 118 || August 14 || Rockies || 8 - 0 || Maddux (8-9) || Francis (13-6) || || 32,049 || 64-54|- style="background-color:#ffbbbb"| 119 || August 15 || Rockies || 3 - 0 || Jiménez (2-2) || Meredith (4-6) || Corpas (10) || 36,864 || 64-55|- style="background-color:#bbffbb"| 120 || August 16 || Rockies || 11 - 9 || Hensley (2-3) || Affeldt (4-3) || Hoffman (30) || 28,198 || 65-55|- style="background-color:#ffbbbb"| 121 || August 17 || Astros || 3 - 1 || Williams (7-12) || Bell (5-4) || Lidge (10) || 32,063 || 65-56|- style="background-color:#ffbbbb"| 122 || August 18 || Astros || 3 - 2 || Borkowski (3-3) || Germano (6-7) || Lidge (11) || 44,272 || 65-57|- style="background-color:#bbffbb"| 123 || August 19 || Astros || 5 - 3 || Maddux (9-9) || Albers (3-6) || Hoffman (31) || 37,628 || 66-57|- style="background-color:#ffbbbb"| 124 || August 21 || @ Mets || 7 - 6 || Wagner (2-1) || Hoffman (2-4) || || 48,592 || 66-58|- style="background-color:#bbffbb"| 125 || August 22 || @ Mets || 7 - 5 || Peavy (14-5) || Lawrence (1-1) || Hoffman (32) || 50,060 || 67-58|- style="background-color:#bbffbb"| 126 || August 23 || @ Mets || 9 - 8 (10) || Hoffman (3-4) || Heilman (7-6) || Bell (1) || 50,078 || 68-58|- style="background-color:#bbffbb"| 127 || August 24 || @ Phillies || 14 - 3 || Maddux (10-9) || Moyer (11-10) || || 39,023 || 69-58|- style="background-color:#bbffbb"| 128 || August 25 || @ Phillies || 4 - 3 || Bell (6-4) || Myers (2-5) || Hoffman (33) || 37,957 || 70-58|- style="background-color:#ffbbbb"| 129 || August 26 || @ Phillies || 14 - 2 || Kendrick (7-3) || Stauffer (0-1) || Ennis (1) || 39,362 || 70-59|- style="background-color:#bbffbb"| 130 || August 27 || D-backs || 3 - 1 || Peavy (15-5) || Hernández (9-9) || Hoffman (34) || 25,763 || 71-59|- style="background-color:#bbffbb"| 131 || August 28 || D-backs || 6 - 4 || Germano (7-7) || Webb (14-9) || Hoffman (35) || 23,006 || 72-59|- style="background-color:#bbffbb"| 132 || August 29 || D-backs || 3 - 1 || Cameron (2-0) || Slaten (3-2) || Bell (2) || 29,021 || 73-59|- style="background-color:#ffbbbb"| 133 || August 30 || D-backs || 8 - 7 || Davis (12-11) || Young (9-5) || Valverde (41) || 28,554 || 73-60|- style="background-color:#bbffbb"| 134 || August 31 || Dodgers || 6 - 4 || Brocail (5-1) || Seánez (6-3) || Hoffman (36) || 44,324 || 74-60|- style="background-color:#bbffbb"| 135 || September 1 || Dodgers || 7 - 0 || Peavy (16-5) || Lowe (11-12) || || 42,605 || 75-60|- style="background-color:#ffbbbb"| 136 || September 2 || Dodgers || 5 - 0 || Billingsley (10-4) || Germano (7-8) || || 40,776 || 75-61|- style="background-color:#bbffbb"| 137 || September 3 || @ D-backs || 10 - 2 || Maddux (11-9) || Owings (6-8) || || 30,531 || 76-61|- style="background-color:#ffbbbb"| 138 || September 4 || @ D-backs || 9 - 1 || Davis (13-11) || Young (9-6) || || 26,063 || 76-62|- style="background-color:#ffbbbb"| 139 || September 5 || @ D-backs || 9 - 6 || Hernández (10-9) || Peavy (16-6) || Valverde (42) || 28,065 || 76-63|- style="background-color:#ffbbbb"| 140 || September 7 || @ Rockies || 10 - 4 || Herges (4-0) || Germano (7-9) || || 27,247 || 76-64|- style="background-color:#bbffbb"| 141 || September 8 || @ Rockies || 3 - 1 || Maddux (12-9) || Francis (15-7) || Hoffman (37) || 30,429 || 77-64|- style="background-color:#ffbbbb"| 142 || September 9 || @ Rockies || 4 - 2 || Fogg (9-9) || Young (9-7) || Corpas (14) || 20,260 || 77-65|- style="background-color:#bbffbb"| 143 || September 11 || @ Dodgers || 9 - 4 || Peavy (17-6) || Loaiza (2-1) || || 51,620 || 78-65|- style="background-color:#ffbbbb"| 144 || September 12 || @ Dodgers || 6 - 1 || Billingsley (11-4) || Germano (7-10) || || 43,699 || 78-66|- style="background-color:#ffbbbb"| 145 || September 13 || @ Dodgers || 6 - 3 || Wells (8-8) || Maddux (12-10) || Saito (38) || 44,496 || 78-67|- style="background-color:#bbffbb"| 146 || September 14 || Giants || 5 - 4 (10) || Hoffman (4-4) || Giese (0-1) || || 32,053 || 79-67|- style="background-color:#bbffbb"| 147 || September 15 || Giants || 6 - 0 || Tomko (3-11) || Cain (7-15) || || 41,554 || 80-67|- style="background-color:#bbffbb"| 148 || September 16 || Giants || 5 - 1 || Peavy (18-6) || Lincecum (7-5) || || 34,000 || 81-67|- style="background-color:#bbffbb"| 149 || September 17 || Pirates || 3 - 0 || Cassel (1-0) || Van Benschoten (0-6) || Hoffman (38) || 33,557 || 82-67|- style="background-color:#bbffbb"| 150 || September 18 || Pirates || 5 - 3 || Maddux (13-10) || Gorzelanny (14-8) || Hoffman (39) || 30,629 || 83-67|- style="background-color:#bbffbb"| 151 || September 19 || Pirates || 5 - 3 || Meredith (5-6) || Capps (4-7) || || 26,354 || 84-67|- style="background-color:#bbffbb"| 152 || September 20 || Pirates || 6 - 3 || Tomko (4-11) || Morris (9-11) || Hoffman (40) || 27,020 || 85-67|- style="background-color:#ffbbbb"| 153 || September 21 || Rockies || 2 - 1 (14) || Herges (5-1) || Thatcher (0-1) || || 31,288 || 85-68|- style="background-color:#ffbbbb"| 154 || September 22 || Rockies || 6 - 2 || Speier (2-1) || Cassel (1-1) || || 35,020 || 85-69|- style="background-color:#ffbbbb"| 155 || September 23 || Rockies || 7 - 3 || Francis (17-8) || Maddux (13-11) || || 37,984 || 85-70|- style="background-color:#ffbbbb"| 156 || September 24 || @ Giants || 9 - 4 || Zito (10-13) || Young (9-8) || || 35,650 || 85-71|- style="background-color:#bbffbb"| 157 || September 25 || @ Giants || 6 - 4 || Thatcher (1-1) || Wilson (1-2) || Hoffman (41) || 35,524 || 86-71|- style="background-color:#bbffbb"| 158 || September 26 || @ Giants || 11 - 3 || Peavy (19-6) || Misch (0-4) || || 42,926 || 87-71|- style="background-color:#bbffbb"| 159 || September 27 || @ Brewers || 9 - 5 || Thatcher (2-1) || Gallardo (9-5) || || 34,918 || 88-71|- style="background-color:#bbffbb"| 160 || September 28 || @ Brewers || 6 - 3 || Maddux (14-11) || Vargas (11-6) || Hoffman (42) || 38,135 || 89-71|- style="background-color:#ffbbbb"| 161 || September 29 || @ Brewers || 4 - 3 (11) || Stetter (1-0) || Thatcher (2-2) || || 40,946 || 89-72|- style="background-color:#ffbbbb"| 162 || September 30 || @ Brewers || 11 - 6 || Suppan (12-12) || Tomko (4-12) || || 42,415 || 89-73|- style="background-color:#ffbbbb"| 163 || October 1 || @ Rockies || 9 - 8 (13) || Ortiz (5-4) || Hoffman (4-5) || || 48,404 || 89-74

text: Giants

text: || 7 - 0 ||

text: Peavy

text: (1-0) ||

text: Zito

text: (0-1) || || 42,773 || 1-0|- style="background-color:#bbffbb"| 2 || April 4 || @

text: Giants

text: || 5 - 3 ||

text: Meredith

text: (1-0) ||

text: Hennessey

text: (0-1) ||

text: Hoffman

text: (1) || 39,938 || 2-0|- style="background-color:#ffbbbb"| 3 || April 5 || @

text: Giants

text: || 5 - 3 ||

text: Morris

text: (1-0) ||

text: Hensley

text: Benítez

text: (1) || 37,914 || 2-1|- style="background-color:#ffbbbb"| 4 || April 6 ||

text: Rockies

text: || 4 - 3 ||

text: Hirsh

text: (1-0) ||

text: Maddux

text: (0-1) ||

text: Fuentes

text: (1) || 44,267 || 2-2|- style="background-color:#bbffbb"| 5 || April 7 ||

text: Rockies

text: || 3 - 2 ||

text: Hoffman

text: (1-0) ||

text: Corpas

text: (0-1) || || 40,504 || 3-2|- style="background-color:#bbffbb"| 6 || April 8 ||

text: Rockies

text: || 2 - 1 (10) ||

text: Linebrink

text: (1-0) ||

text: Hawkins

text: (0-2) || || 27,086 || 4-2|- style="background-color:#bbffbb"| 7 || April 9 ||

text: Giants

text: || 1 - 0 ||

text: Young

text: (1-0) ||

text: Cain

text: (0-1) ||

text: Hoffman

text: (2) || 31,388 || 5-2|- style="background-color:#ffbbbb"| 8 || April 10 ||

text: Giants

text: || 6 - 5 ||

text: Morris

text: (2-0) ||

text: Hensley

text: (0-2) ||

text: Benítez

text: (2) || 28,878 || 5-3|- style="background-color:#bbffbb"| 9 || April 11 ||

text: Giants

text: || 4 - 0 ||

text: Maddux

text: (1-1) ||

text: Lowry

text: (0-2) || || 31,568 || 6-3|- style="background-color:#ffbbbb"| 10 || April 13 || @

text: Dodgers

text: || 9 - 1 ||

text: Lowe

text: (2-1) ||

text: Wells

text: (0-1) || || 49,090 || 6-4|- style="background-color:#bbffbb"| 11 || April 14 || @

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text: || 7 - 2 ||

text: Peavy

text: (2-0) ||

text: Schmidt

text: (1-2) || || 55,942 || 7-4|- style="background-color:#ffbbbb"| 12 || April 15 || @

text: Dodgers

text: || 9 - 3 ||

text: Wolf

text: (2-1) ||

text: Young

text: (1-1) || || 55,298 || 7-5|- style="background-color:#ffbbbb"| 13 || April 16 || @

text: Cubs

text: || 12 - 4 ||

text: Marquis

text: (1-1) ||

text: Hensley

text: (0-3) || || 32,126 || 7-6|- style="background-color:#bbffbb"| 14 || April 17 || @

text: Cubs

text: || 4 - 3 (14) ||

text: Brocail

text: (1-0) ||

text: Ohman

text: (0-1) ||

text: Hoffman

text: (3) || 36,021 || 8-6|- style="background-color:#ffbbbb"| 15 || April 18 ||

text: D-backs

text: || 5 - 2 (12) ||

text: Peña

text: (1-1) ||

text: Thompson

text: (0-1) ||

text: Valverde

text: (7) || 26,872 || 8-7|- style="background-color:#bbffbb"| 16 || April 19 ||

text: D-backs

text: || 11 - 6 ||

text: Peavy

text: (3-0) ||

text: Hernández

text: (1-1) || || 32,224 || 9-7|- style="background-color:#bbffbb"| 17 || April 20 || @

text: Rockies

text: || 11 - 1 ||

text: Young

text: (2-1) ||

text: Fogg

text: (0-1) || || 22,338 || 10-7|- style="background-color:#bbffbb"| 18 || April 21 || @

text: Rockies

text: || 7 - 3 ||

text: Hensley

text: (1-3) ||

text: Francis

text: (1-2) || || 22,795 || 11-7|- style="background-color:#ffbbbb"| 19 || April 22 || @

text: Rockies

text: || 4 - 2 ||

text: Hirsh

text: (2-1) ||

text: Maddux

text: (1-2) ||

text: Fuentes

text: (4) || 25,746 || 11-8|- style="background-color:#bbffbb"| 20 || April 24 || @

text: D-backs

text: || 10 - 5 ||

text: Wells

text: (1-1) ||

text: Johnson

text: (0-1) ||

text: Hoffman

text: (4) || 19,508 || 12-8|- style="background-color:#ffbbbb"| 21 || April 25 || @

text: D-backs

text: || 3 - 2 ||

text: Peña

text: (2-1) ||

text: Hoffman

text: (1-1) || || 18,307 || 12-9|- style="background-color:#ffbbbb"| 22 || April 26 || @

text: D-backs

text: || 7 - 4 ||

text: Hernández

text: (2-1) ||

text: Young

text: (2-2) ||

text: Valverde

text: (8) || 16,792 || 12-10|- style="background-color:#ffbbbb"| 23 || April 27 ||

text: Dodgers

text: || 6 - 5 ||

text: Seánez

text: (1-0) ||

text: Hoffman

text: (1-2) ||

text: Saito

text: (7) || 44,035 || 12-11|- style="background-color:#bbffbb"| 24 || April 28 ||

text: Dodgers

text: || 3 - 2 ||

text: Maddux

text: (2-2) ||

text: Tomko

text: (0-2) ||

text: Hoffman

text: (5) || 42,385 || 13-11|- style="background-color:#ffbbbb"| 25 || April 29 ||

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text: || 5 - 4 (17) ||

text: Billingsley

text: (1-0) ||

text: Hampson

text: (0-1) || || 44,028 || 13-12|- style="background-color:#ffbbbb"| 26 || April 30 ||

text: Nationals

text: || 3 - 2 ||

text: Patterson

text: (1-4) ||

text: Peavy

text: (3-1) ||

text: Cordero

text: (4) || 19,769 || 13-13|- style="background-color:#bbffbb"| 27 || May 1 ||

text: Nationals

text: || 3 - 0 ||

text: Young

text: (3-2) ||

text: Hill

text: (2-3) ||

text: Hoffman

text: (6) || 19,438 || 14-13|- style="background-color:#bbffbb"| 28 || May 2 ||

text: Nationals

text: || 7 - 3 ||

text: Brocail

text: (2-0) ||

text: Chico

text: (2-3) || || 22,153 || 15-13|- style="background-color:#ffbbbb"| 29 || May 4 || @

text: Marlins

text: || 5 - 4 ||

text: Tankersley

text: (1-0) ||

text: Linebrink

text: (1-1) ||

text: Owens

text: (4) || 24,691 || 15-14|- style="background-color:#bbffbb"| 30 || May 5 || @

text: Marlins

text: || 7 - 6 (12) ||

text: Hampson

text: (1-1) ||

text: Gardner

text: (0-2) ||

text: Hoffman

text: (7) || 21,381 || 16-14|- style="background-color:#bbffbb"| 31 || May 6 || @

text: Marlins

text: || 3 - 1 ||

text: Peavy

text: (4-1) ||

text: Olsen

text: (3-2) ||

text: Hoffman

text: (8) || 15,310 || 17-14|- style="background-color:#bbffbb"| 32 || May 7 || @

text: Braves

text: || 4 - 2 ||

text: Young

text: (4-2) ||

text: James

text: (3-3) ||

text: Hoffman

text: (9) || 19,189 || 18-14|- style="background-color:#ffbbbb"| 33 || May 8 || @

text: Braves

text: || 3 - 2 ||

text: González

text: (2-0) ||

text: Bell

text: (0-1) ||

text: Soriano

text: (3) || 21,748 || 18-15|- style="background-color:#ffbbbb"| 34 || May 9 || @

text: Braves

text: || 3 - 2 ||

text: Smoltz

text: (5-1) ||

text: Meredith

text: (1-1) ||

text: Soriano

text: (4) || 36,523 || 18-16|- style="background-color:#ffbbbb"| 35 || May 10 || @

text: Braves

text: || 5 - 3 ||

text: Hudson

text: (4-1) ||

text: Wells

text: (1-2) ||

text: Soriano

text: (5) || 28,799 || 18-17|- style="background-color:#bbffbb"| 36 || May 11 ||

text: Cardinals

text: || 7 - 0 ||

text: Peavy

text: (5-1) ||

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text: Rockies

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text: Astros

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text: Astros

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text: Astros

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text: Astros

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text: D-backs

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text: Cardinals

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text: Young

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text: Reds

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text: Reds

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text: Reds

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text: Mets

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text: Mets

text: || 7 - 5 ||

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text: Mets

text: || 9 - 8 (10) ||

text: Hoffman

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text: Heilman

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text: Phillies

text: || 14 - 3 ||

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text: Moyer

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text: Phillies

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text: Phillies

text: || 14 - 2 ||

text: Kendrick

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text: Stauffer

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text: Ennis

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text: D-backs

text: || 3 - 1 ||

text: Peavy

text: (15-5) ||

text: Hernández

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text: Hoffman

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text: D-backs

text: || 6 - 4 ||

text: Germano

text: (7-7) ||

text: Webb

text: (14-9) ||

text: Hoffman

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text: D-backs

text: || 3 - 1 ||

text: Cameron

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text: Slaten

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text: Bell

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text: D-backs

text: || 8 - 7 ||

text: Davis

text: (12-11) ||

text: Young

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text: Valverde

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text: Dodgers

text: || 6 - 4 ||

text: Brocail

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text: Seánez

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text: Hoffman

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text: Dodgers

text: || 7 - 0 ||

text: Peavy

text: (16-5) ||

text: Lowe

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text: Dodgers

text: || 5 - 0 ||

text: Billingsley

text: (10-4) ||

text: Germano

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text: D-backs

text: || 10 - 2 ||

text: Maddux

text: (11-9) ||

text: Owings

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text: D-backs

text: || 9 - 1 ||

text: Davis

text: (13-11) ||

text: Young

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text: D-backs

text: || 9 - 6 ||

text: Hernández

text: (10-9) ||

text: Peavy

text: (16-6) ||

text: Valverde

text: (42) || 28,065 || 76-63|- style="background-color:#ffbbbb"| 140 || September 7 || @

text: Rockies

text: || 10 - 4 ||

text: Herges

text: (4-0) ||

text: Germano

text: (7-9) || || 27,247 || 76-64|- style="background-color:#bbffbb"| 141 || September 8 || @

text: Rockies

text: || 3 - 1 ||

text: Maddux

text: (12-9) ||

text: Francis

text: (15-7) ||

text: Hoffman

text: (37) || 30,429 || 77-64|- style="background-color:#ffbbbb"| 142 || September 9 || @

text: Rockies

text: || 4 - 2 ||

text: Fogg

text: (9-9) ||

text: Young

text: (9-7) ||

text: Corpas

text: (14) || 20,260 || 77-65|- style="background-color:#bbffbb"| 143 || September 11 || @

text: Dodgers

text: || 9 - 4 ||

text: Peavy

text: (17-6) ||

text: Loaiza

text: (2-1) || || 51,620 || 78-65|- style="background-color:#ffbbbb"| 144 || September 12 || @

text: Dodgers

text: || 6 - 1 ||

text: Billingsley

text: (11-4) ||

text: Germano

text: (7-10) || || 43,699 || 78-66|- style="background-color:#ffbbbb"| 145 || September 13 || @

text: Dodgers

text: || 6 - 3 ||

text: Wells

text: (8-8) ||

text: Maddux

text: (12-10) ||

text: Saito

text: (38) || 44,496 || 78-67|- style="background-color:#bbffbb"| 146 || September 14 ||

text: Giants

text: || 5 - 4 (10) ||

text: Hoffman

text: (4-4) ||

text: Giese

text: (0-1) || || 32,053 || 79-67|- style="background-color:#bbffbb"| 147 || September 15 ||

text: Giants

text: || 6 - 0 ||

text: Tomko

text: (3-11) ||

text: Cain

text: (7-15) || || 41,554 || 80-67|- style="background-color:#bbffbb"| 148 || September 16 ||

text: Giants

text: || 5 - 1 ||

text: Peavy

text: (18-6) ||

text: Lincecum

text: (7-5) || || 34,000 || 81-67|- style="background-color:#bbffbb"| 149 || September 17 ||

text: Pirates

text: || 3 - 0 ||

text: Cassel

text: (1-0) ||

text: Van Benschoten

text: (0-6) ||

text: Hoffman

text: (38) || 33,557 || 82-67|- style="background-color:#bbffbb"| 150 || September 18 ||

text: Pirates

text: || 5 - 3 ||

text: Maddux

text: (13-10) ||

text: Gorzelanny

text: (14-8) ||

text: Hoffman

text: (39) || 30,629 || 83-67|- style="background-color:#bbffbb"| 151 || September 19 ||

text: Pirates

text: || 5 - 3 ||

text: Meredith

text: (5-6) ||

text: Capps

text: (4-7) || || 26,354 || 84-67|- style="background-color:#bbffbb"| 152 || September 20 ||

text: Pirates

text: || 6 - 3 ||

text: Tomko

text: (4-11) ||

text: Morris

text: (9-11) ||

text: Hoffman

text: (40) || 27,020 || 85-67|- style="background-color:#ffbbbb"| 153 || September 21 ||

text: Rockies

text: || 2 - 1 (14) ||

text: Herges

text: (5-1) ||

text: Thatcher

text: (0-1) || || 31,288 || 85-68|- style="background-color:#ffbbbb"| 154 || September 22 ||

text: Rockies

text: || 6 - 2 ||

text: Speier

text: (2-1) ||

text: Cassel

text: (1-1) || || 35,020 || 85-69|- style="background-color:#ffbbbb"| 155 || September 23 ||

text: Rockies

text: || 7 - 3 ||

text: Francis

text: (17-8) ||

text: Maddux

text: (13-11) || || 37,984 || 85-70|- style="background-color:#ffbbbb"| 156 || September 24 || @

text: Giants

text: || 9 - 4 ||

text: Zito

text: (10-13) ||

text: Young

text: (9-8) || || 35,650 || 85-71|- style="background-color:#bbffbb"| 157 || September 25 || @

text: Giants

text: || 6 - 4 ||

text: Thatcher

text: (1-1) ||

text: Wilson

text: (1-2) ||

text: Hoffman

text: (41) || 35,524 || 86-71|- style="background-color:#bbffbb"| 158 || September 26 || @

text: Giants

text: || 11 - 3 ||

text: Peavy

text: (19-6) ||

text: Misch

text: (0-4) || || 42,926 || 87-71|- style="background-color:#bbffbb"| 159 || September 27 || @

text: Brewers

text: || 9 - 5 ||

text: Thatcher

text: (2-1) ||

text: Gallardo

text: (9-5) || || 34,918 || 88-71|- style="background-color:#bbffbb"| 160 || September 28 || @

text: Brewers

text: || 6 - 3 ||

text: Maddux

text: (14-11) ||

text: Vargas

text: (11-6) ||

text: Hoffman

text: (42) || 38,135 || 89-71|- style="background-color:#ffbbbb"| 161 || September 29 || @

text: Brewers

text: || 4 - 3 (11) ||

text: Stetter

text: (1-0) ||

text: Thatcher

text: (2-2) || || 40,946 || 89-72|- style="background-color:#ffbbbb"| 162 || September 30 || @

text: Brewers

text: || 11 - 6 ||

text: Suppan

text: (12-12) ||

text: Tomko

text: (4-12) || || 42,415 || 89-73|- style="background-color:#ffbbbb"| 163 || October 1 || @

text: Rockies

text: || 9 - 8 (13) ||

text: Ortiz

text: (5-4) ||

text: Hoffman

text: (4-5) || || 48,404 || 89-74

text: The formation of these pigments involves the reaction of diazotized aromatic diamines (derivatives of benzidine) with coupling components, typically derivatives of acetoacetanilide.  By varying both of these components, a wide variety of pigments have been produced. A related family of organic pigments are the simpler arylides, which arise from the coupling of monodiazonium salts with the same coupling partners.

text: The formation of these pigments involves the reaction of

text: diazotized

text: aromatic diamines (derivatives of

text: benzidine

text: ) with coupling components, typically derivatives of

text: acetoacetanilide

text: .  By varying both of these components, a wide variety of pigments have been produced. A related family of organic pigments are the simpler

text: arylide

text: s, which arise from the coupling of monodiazonium salts with the same coupling partners.

text: The color of an object depends on both the physics of the object in its environment and the characteristics of the perceiving eye and brain. Physically, objects can be said to have the color of the light leaving their surfaces, which normally depends on the spectrum of the incident illumination and the reflectance properties of the surface, as well as potentially on the angles of illumination and viewing. Some objects not only reflect light, but also transmit light or emit light themselves, which also contribute to the color. A viewer's perception of the object's color depends not only on the spectrum of the light leaving its surface, but also on a host of contextual cues, so that color differences between objects can be discerned mostly independent of the lighting spectrum, viewing angle, etc. This effect is known as color constancy.

text: The color of an object depends on both the physics of the object in its environment and the characteristics of the perceiving eye and brain. Physically, objects can be said to have the color of the light leaving their surfaces, which normally depends on the spectrum of the incident illumination and the reflectance properties of the surface, as well as potentially on the angles of illumination and viewing. Some objects not only reflect light, but also transmit light or emit light themselves, which also contribute to the color. A viewer's perception of the object's color depends not only on the spectrum of the light leaving its surface, but also on a host of contextual cues, so that color differences between objects can be discerned mostly independent of the lighting spectrum, viewing angle, etc. This effect is known as

text: color constancy

text: The color palette of furniture and design details is brighter and more saturated than other examples of Wright's architecture.  This was prompted by Kay Christian who requested brighter colors against Wright's wishes.  Wright was finally convinced by his wife, Olgivanna Lloyd Wright, who insisted that she would help the Christians with the color design. The result was a palette of vibrant lime green, magenta, and purple combined with more subdued shades of orange, yellow, and beige (see image at left).  The home was designated as a National Historic Landmark in 2015.  The nomination form for the home provides a very detailed overview of the home with pictures and floor plans. It was featured in a mid-2015 exhibit at the Portsmouth Art and Cultural Center.

text: The color palette of furniture and design details is brighter and more saturated than other examples of Wright's architecture.  This was prompted by Kay Christian who requested brighter colors against Wright's wishes.  Wright was finally convinced by his wife,

text: Olgivanna Lloyd Wright

text: , who insisted that she would help the Christians with the color design. The result was a palette of vibrant lime green, magenta, and purple combined with more subdued shades of orange, yellow, and beige (see image at left).  The home was designated as a

text: National Historic Landmark

text: in 2015.  The nomination form for the home provides a very detailed overview of the home with pictures and floor plans. It was featured in a mid-2015 exhibit at the Portsmouth Art and Cultural Center.

text: The Mus macedonicus is a small rodent (15 g).  It has very different fur color based upon location. In a study of numerous specimens in Turkey, the Mus macedonicus was found to have back colors ranging from dark brown to pale light brown to dark-reddish brown.  There is a distinct line of demarcation along the flanks that separates top and bottom coloration.  The bottom coloration ranged from whitish grey, pure white, yellowish white, and reddish white.  The ears have tiny white hairs.  This rodent has a tail that is dark brown on top and lighter on bottom.  The bottoms of the Mus macedonicus' feet are bare while the tops of their feet have white hairs.  Mus macedonicus are nocturnal.

text: Take the statement "All red objects have color." This can be equivalently expressed as "If an object is red, then it has color."

text: Ron Cooper (b. 1943) is an American artist who grew up in Ojai, California and started his career in the late 1960s in Los Angeles. He currently resides in Taos, New Mexico. By 1973, he had already participated in numerous international solo and group shows with pieces in the permanent collections of the Guggenheim Museum, NY and LACMA. His work was exhibited at the La Jolla Museum of Contemporary Art, La Jolla, California, May 13-July 1, 1973. Cooper's work explores light, reflection, transparency, and color, through the medium of colored fluorescent lights, neon, and glass. In his Separator Variations series the colored fluorescent fixtures, separated by glass, reflect and appear to overlap combining the colors producing a third hue. Most of his pieces, like the Separator Variations series, demonstrate the additive nature of light, (the subtractive result of combining colors of light). His other work included environmental installations and neon focused on the same themes.

text: Ron Cooper (b. 1943) is an

text: American

text: artist who grew up in Ojai, California and started his career in the late 1960s in

text: Los Angeles

text: . He currently resides in

text: Taos, New Mexico

text: . By 1973, he had already participated in numerous international solo and group shows with pieces in the permanent collections of the

text: Guggenheim Museum

text: NY

text: and

text: LACMA

text: . His work was exhibited at the

text: La Jolla Museum of Contemporary Art

text: La Jolla

text: California

text: , May 13-July 1, 1973. Cooper's work explores light, reflection, transparency, and color, through the medium of colored fluorescent lights, neon, and glass. In his Separator Variations series the colored fluorescent fixtures, separated by glass, reflect and appear to overlap combining the colors producing a third hue. Most of his pieces, like the Separator Variations series, demonstrate the additive nature of light, (the subtractive result of combining colors of light). His other work included environmental installations and neon focused on the same themes.

text: A study by psychologist Andrew J. Elliot tested to see if the color of a person's clothing could make them appear more sexually appealing. He found that to men, women dressed in the color red were significantly more likely to attract romantic attention than women in any other color. However, for women, the color of one's shirt made no difference in their level of attractiveness.

text: A study by psychologist

text: Andrew J. Elliot

text: tested to see if the color of a person's clothing could make them appear more sexually appealing. He found that to men, women dressed in the color red were significantly more likely to attract romantic attention than women in any other color. However, for women, the color of one's shirt made no difference in their level of attractiveness.

text: The photoreceptor proteins in the three types of cones differ in their sensitivity to photons of different  wavelengths (see graph).  Since cones respond to both the wavelength and intensity of light, the cone's sensitivity to wavelength is measured in terms of its relative rate of response if the intensity of a stimulus is held fixed, while the wavelength is varied. From this, in turn, is inferred the absorbance. The graph normalizes the degree of absorbance on a hundred-point scale.  For example, the S cone's relative response peaks around 420 nm (nanometers, a measure of wavelength).  This tells us that an S cone is more likely to absorb a photon at 420 nm than at any other wavelength.  If light of a different wavelength to which it is less sensitive, say 480 nm, is increased in brightness appropriately, however, it will produce exactly the same response in the S cone.  So, the colors of the curves are misleading.  Cones cannot detect color by themselves; rather, color vision requires comparison of the signal across different cone types.

text: The photoreceptor proteins in the three types of cones differ in their sensitivity to photons of different

text: wavelengths

text: (see graph).  Since cones respond to both the wavelength and intensity of light, the cone's sensitivity to wavelength is measured in terms of its relative rate of response if the intensity of a stimulus is held fixed, while the wavelength is varied. From this, in turn, is inferred the

text: absorbance

text: . The graph normalizes the degree of absorbance on a hundred-point scale.  For example, the S cone's relative response peaks around 420 nm (nanometers, a measure of wavelength).  This tells us that an S cone is more likely to absorb a photon at 420 nm than at any other wavelength.  If light of a different wavelength to which it is less sensitive, say 480 nm, is increased in brightness appropriately, however, it will produce exactly the same response in the S cone.  So, the colors of the curves are misleading.  Cones cannot detect color by themselves; rather,

text: color vision

text: requires comparison of the signal across different cone types.

text: Diffuse interreflection is a process whereby light reflected from an object strikes other objects in the surrounding area, illuminating them. Diffuse interreflection specifically describes light reflected from objects which are not shiny or specular. In real life terms what this means is that light is reflected off non-shiny surfaces such as the ground, walls, or fabric, to reach areas not directly in view of a light source.  If the diffuse surface is colored, the reflected light is also colored, resulting in similar coloration of surrounding objects.

text: Diffuse interreflection is a process whereby

text: light

text: reflected from an object strikes other objects in the surrounding area, illuminating them. Diffuse interreflection specifically describes light reflected from objects which are not shiny or

text: specular

text: . In real life terms what this means is that light is reflected off non-shiny surfaces such as the ground, walls, or fabric, to reach areas not directly in view of a light source.  If the diffuse surface is

text: color

text: ed, the reflected light is also colored, resulting in similar coloration of surrounding objects.

text: First, see liquor carefully. The color of Korean traditional spirits is usually golden ranging from light to dark grown. The lighter the color of the liquor is, the cleaner the taste is. The darker the color is, the richer the taste is. Good traditional liquor is clear and has golden color. According to the color of the ingredients of spirits, for example, if ingredients other than grains such as medicinal herbs are added, the color of the liquor is different.

text: Violet is the color at the end of the visible spectrum of light between blue and the invisible ultraviolet.  Violet color has a predominant light wavelength of roughly 380-450 nanometers (in experiments under special conditions, people have so far seen to 310 nm). Light with a shorter wavelength than violet but longer than X-rays and gamma rays is called ultraviolet.  In the color wheel historically used by painters, it is located between blue and purple. On the screens of computer monitors and television sets, a color which looks similar to violet is made, with the RGB color model, by mixing red and blue light, with the blue twice as bright as the red. This is not true violet, since it is composed of multiple longer wavelengths rather than a single wavelength shorter than that of blue light.

text: Violet is the color at the end of the

text: visible spectrum

text: of light between blue and the invisible

text: ultraviolet

text: .  Violet color has a predominant light wavelength of roughly 380-450 nanometers (in experiments under special conditions, people have so far seen to 310 nm). Light with a shorter wavelength than violet but longer than

text: X-ray

text: s and

text: gamma ray

text: s is called

text: ultraviolet

text: .  In the

text: color wheel

text: historically used by painters, it is located between

text: blue

text: and

text: purple

text: . On the screens of computer monitors and television sets, a color which looks similar to violet is made, with the

text: RGB color model

text: , by mixing red and blue light, with the blue twice as bright as the red. This is not true violet, since it is composed of multiple longer wavelengths rather than a single wavelength shorter than that of blue light.

text: Hair coloring is the process of adding pigment to or removing pigment from the hair shaft. Hair coloring processes may be referred to as coloring or bleaching, depending on whether you are adding or removing pigment.

text: Hair coloring

text: is the process of adding pigment to or removing pigment from the hair shaft. Hair coloring processes may be referred to as coloring or bleaching, depending on whether you are adding or removing pigment.

text: For a list of articles about specific named colors, see list of colors.

text: For a list of articles about specific named colors, see

text: list of colors

text: Dithering is used in computer graphics to create the illusion of "color depth" in images with a limited color palette - a technique also known as color quantization. In a dithered image, colors that are not available in the palette are approximated by a diffusion of colored pixels from within the available palette. The human eye perceives the diffusion as a mixture of the colors within it (see color vision).  Dithered images, particularly those with relatively few colors, can often be distinguished by a characteristic graininess or speckled appearance.

text: Dithering is used in

text: computer graphics

text: to create the illusion of "

text: color

text: depth" in images with a limited

text: color palette

text: - a technique also known as

text: color quantization

text: . In a dithered image, colors that are not available in the palette are approximated by a diffusion of colored

text: pixel

text: s from within the available palette. The human eye perceives the diffusion as a mixture of the colors within it (see

text: color vision

text: ).  Dithered images, particularly those with relatively few colors, can often be distinguished by a characteristic graininess or speckled appearance.

text: True white horses have unpigmented pink skin and unpigmented white hair, though eye color varies. The lack of pigment in the skin and hair is caused by the absence of pigment-producing cells called melanocytes. Some coat colors are characterized by light or white-like coats and even pinkish skin, however these white-like coats are not lacking melanocytes. Instead, white-like coat colors result from various changes in the ways melanocytes produce pigment.

text: True white horses have unpigmented pink skin and unpigmented white hair, though eye color varies. The lack of pigment in the skin and hair is caused by the absence of pigment-producing cells called

text: melanocyte

text: s. Some coat colors are characterized by light or white-like coats and even pinkish skin, however these white-like coats are not lacking melanocytes. Instead, white-like coat colors result from various changes in the ways melanocytes produce

text: pigment

text: season! style="color:#FFFFFF; background-color: #CD853F" | Title! style="color:#FFFFFF; background-color: #CD853F" | Directed by! style="color:#FFFFFF; background-color: #CD853F" | Written by! style="color:#FFFFFF; background-color: #CD853F" | Original air date! style="color:#FFFFFF; background-color: #CD853F" | U.S. viewers

text: A particularly noticeable manifestation of pigmentation in plants is seen with autumn leaf color, a phenomenon that affects the normally green leaves of many deciduous trees and shrubs whereby they take on, during a few weeks in the autumn season, various shades of red, yellow, purple, and brown.Chlorophylls degrade into colorless tetrapyrroles known as nonfluorescent chlorophyll catabolites (NCCs).As the predominant chlorophylls degrade, the hidden pigments of yellow xanthophylls and orange beta-carotene are revealed. These pigments are present throughout the year, but the red pigments, the anthocyanins, are synthesized de novo once roughly half of chlorophyll has been degraded. The amino acids released from degradation of light harvesting complexes are stored all winter in the tree's roots, branches, stems, and trunk until next spring when they are recycled to re‑leaf the tree.

text: A particularly noticeable manifestation of pigmentation in plants is seen with

text: autumn leaf color

text: , a phenomenon that affects the normally

text: green

text: leaves of many

text: deciduous

text: tree

text: s and

text: shrub

text: s whereby they take on, during a few weeks in the

text: autumn

text: season, various shades of

text: red

text: yellow

text: purple

text: , and

text: brown

text: .Chlorophylls degrade into colorless

text: tetrapyrrole

text: s known as nonfluorescent chlorophyll catabolites (NCCs).As the predominant chlorophylls degrade, the hidden pigments of yellow

text: xanthophyll

text: s and orange

text: beta-carotene

text: are revealed. These pigments are present throughout the year, but the red pigments, the

text: anthocyanin

text: s, are

text: synthesized de novo

text: once roughly half of chlorophyll has been degraded. The

text: amino acid

text: s released from degradation of light harvesting complexes are stored all winter in the tree's roots, branches, stems, and

text: trunk

text: until next spring when they are recycled to re‑leaf the tree.

text: RGB LEDs can deliver an enormous color gamut to screens. When using three separate LEDs (additive color) the backlight can produce a color spectrum that closely matches the color filters in the LCD pixels themselves. In this way, the filter passband can be narrowed so that each color component lets only a very narrow band of spectrum through the LCD. This improves the efficiency of the display since less light is blocked when white is displayed. Also, the actual red, green, and blue points can be moved farther out so that the display is capable of reproducing more vivid colors.

text: RGB LEDs can deliver an enormous color

text: gamut

text: to screens. When using three separate LEDs (

text: additive color

text: ) the backlight can produce a color spectrum that closely matches the color filters in the LCD

text: pixel

text: s themselves. In this way, the filter

text: passband

text: can be narrowed so that each color component lets only a very narrow band of spectrum through the LCD. This improves the efficiency of the display since less light is blocked when white is displayed. Also, the actual

text: red, green, and blue

text: points can be moved farther out so that the display is capable of reproducing more vivid colors.

text: There is some discussion as to whether achromats can see color or not. As illustrated in The Island of the Colorblind by Oliver Sacks, some achromats cannot see color, only black, white, and shades of grey. With five different genes currently known to cause similar symptoms, it may be that some do see marginal levels of color differentiation due to different gene characteristics. With such small sample sizes and low response rates, it is difficult to accurately diagnose the 'typical achromatic conditions'. If the light level during testing is optimized for them, they may achieve corrected visual acuity of 20/100 to 20/150 at lower light levels, regardless of the absence of color. One common trait is hemeralopia or blindness in full sun. In patients with achromatopsia, the cone system and fibres carrying color information remain intact. This indicates that the mechanism used to construct colors is defective.

text: There is some discussion as to whether achromats can see color or not. As illustrated in

text: The Island of the Colorblind

text: by

text: Oliver Sacks

text: , some achromats cannot see color, only black, white, and shades of grey. With five different genes currently known to cause similar symptoms, it may be that some do see marginal levels of color differentiation due to different gene characteristics. With such small sample sizes and low response rates, it is difficult to accurately diagnose the 'typical achromatic conditions'. If the light level during testing is optimized for them, they may achieve corrected visual acuity of 20/100 to 20/150 at lower light levels, regardless of the absence of color. One common trait is

text: hemeralopia

text: or blindness in full sun. In patients with achromatopsia, the

text: cone system

text: and fibres carrying color information remain intact. This indicates that the mechanism used to construct colors is defective.

text: Color constancy works only if the incident illumination contains a range of wavelengths. The different cone cells of the eye register different but overlapping ranges of wavelengths of the light reflected by every object in the scene. From this information, the visual system attempts to determine the approximate composition of the illuminating light. This illumination is then discounted in order to obtain the object's "true color" or reflectance: the wavelengths of light the object reflects. This reflectance then largely determines the perceived color.

text: Color constancy works only if the incident illumination contains a range of wavelengths. The different

text: cone cell

text: s of the

text: eye

text: register different but overlapping ranges of wavelengths of the light reflected by every object in the scene. From this information, the visual system attempts to determine the approximate composition of the illuminating light. This illumination is then discounted in order to obtain the object's "true color" or

text: reflectance

text: : the wavelengths of light the object reflects. This reflectance then largely determines the perceived color.

text: The (blackbody) colors of stars are sometimes confused with the colors of the spectrum. The spectral (rainbow) colors are those on the curved part of the boundary of the diagram on the right.  As can be seen, the red, orange, yellow and blue rainbow colors happen to be much the same as blackbody colors. However, stars whose peak emission is green light also emit much red and blue light, and the human visual system happens to interpret this mixture of colors as whitish rather than green. So the fact that some spectral colors appear as star colors is more a quirk of human color vision than a property of stars: if one uses an instrument such as a spectroscope that is better at distinguishing wavelengths of light, then all spectral colors look completely different from star colors. All sufficiently hot stars look about the same shade of blue (and not violet as claimed in some popular accounts). The reason for this is that at sufficiently large temperatures (above about 20,000 K) all blackbody spectra look about the same in visible light, though they can differ lot at shorter wavelengths. Although their maximum output at visible wavelengths is at violet, they put out enough light at other wavelengths to look light blue: the color at the end of the Planckian locus rather than the color at the end of the spectrum.

text: The (blackbody) colors of stars are sometimes confused with the colors of the spectrum. The spectral (rainbow) colors are those on the curved part of the boundary of the diagram on the right.  As can be seen, the red, orange, yellow and blue rainbow colors happen to be much the same as blackbody colors. However, stars whose peak emission is green light also emit much red and blue light, and the human visual system happens to interpret this mixture of colors as whitish rather than green. So the fact that some spectral colors appear as star colors is more a quirk of human color vision than a property of stars: if one uses an instrument such as a

text: spectroscope

text: that is better at distinguishing wavelengths of light, then all spectral colors look completely different from star colors. All sufficiently hot stars look about the same shade of blue (and not violet as claimed in some popular accounts). The reason for this is that at sufficiently large temperatures (above about 20,000 K) all blackbody spectra look about the same in visible light, though they can differ lot at shorter wavelengths. Although their maximum output at visible wavelengths is at violet, they put out enough light at other wavelengths to look light blue: the color at the end of the Planckian locus rather than the color at the end of the spectrum.

text: Industrial melanism is an effect of urban pollution prominent in many species of arthropods. It is the phenomenon of an organism evolving dark pigmentation when exposed to an environment polluted by dark soot deposit and sulfuric buildup from industrial pollution.  In this type of industrial melanism, the darker pigmented individuals develop a higher fitness and are favored by natural selection.  This change in favoritism as a result of modification in selection pressure is one of the best-noted cases of Darwinian evolution. The most common case of this adaptation is found in the arthropod order Lepidoptera. This order of insects encompasses all insects with microscopic scales on their wings, such as moths and butterflies. Some species thought to undergo the selection of industrial melanism are Adalia bipunctata (two-spot ladybird), Hamadryas feronia (variable cracker butterfly), Odontopera bidentata (scalloped hazel moth), Oligia latruncula (tawny marbled minor moth), Oligia strigilis (marbled minor moth), and many other species of moths; but probably the best and most studied example of industrial melanism is in the peppered moth, Biston betularia. Originally, peppered moths lived where light-colored lichens covered the trees where they would rest. To camouflage with the tree, they originated with a light-colored pigment that helped them to avoid predators by not being a visual distraction. Lichens are great bio-indicators of air-pollution. Sulfur dioxide present in the atmosphere reduces the amount of lichen covering the surrounding trees.  Eventually, industrial pollution came to the area, and sulfur dioxide began to kill the light-colored lichens off the trees, exposing the dark bark of the moths' resting places, creating a drastic contrast in color and making the light-colored moths more vulnerable to predation. This slowly altered the balance of the population, as light-colored moths were not surviving to reproduce and pass on their genes to the next generation, and the darker-colored moths began to breed more due to their new-found rise in fitness. This reversal of survivability made the gene contributing to melanic forms of the moth more desirable. The melanic phenotype of the Biston betularia has been calculated to give a fitness advantage as great as 30 per cent. As generations went on, eventually the population of peppered moths transformed from the majority being light-colored moths to the majority being dark-colored moths.

text: Industrial melanism is an effect of urban pollution prominent in many species of arthropods. It is the phenomenon of an organism evolving dark pigmentation when exposed to an environment polluted by dark soot deposit and sulfuric buildup from industrial pollution.  In this type of industrial melanism, the darker pigmented individuals develop a higher fitness and are favored by natural selection.  This change in favoritism as a result of modification in selection pressure is one of the best-noted cases of Darwinian evolution. The most common case of this adaptation is found in the arthropod order

text: Lepidoptera

text: . This order of insects encompasses all insects with microscopic scales on their wings, such as moths and butterflies. Some species thought to undergo the selection of industrial melanism are

text: Adalia bipunctata

text: (two-spot ladybird),

text: Hamadryas feronia

text: (variable cracker butterfly),

text: Odontopera bidentata

text: (scalloped hazel moth),

text: Oligia latruncula

text: (tawny marbled minor moth),

text: Oligia strigilis

text: (marbled minor moth), and many other species of moths; but probably the best and most studied example of industrial melanism is in the peppered moth,

text: Biston betularia

text: . Originally, peppered moths lived where light-colored lichens covered the trees where they would rest. To camouflage with the tree, they originated with a light-colored pigment that helped them to avoid predators by not being a visual distraction. Lichens are great bio-indicators of air-pollution. Sulfur dioxide present in the atmosphere reduces the amount of lichen covering the surrounding trees.  Eventually, industrial pollution came to the area, and

text: sulfur dioxide

text: began to kill the light-colored lichens off the trees, exposing the dark bark of the moths' resting places, creating a drastic contrast in color and making the light-colored moths more vulnerable to predation. This slowly altered the balance of the population, as light-colored moths were not surviving to reproduce and pass on their genes to the next generation, and the darker-colored moths began to breed more due to their new-found rise in fitness. This reversal of survivability made the gene contributing to melanic forms of the moth more desirable. The melanic phenotype of the

text: Biston betularia

text: has been calculated to give a fitness advantage as great as 30 per cent. As generations went on, eventually the population of peppered moths transformed from the majority being light-colored moths to the majority being dark-colored moths.

text: The color pigment indigo is equivalent to the web color indigo and approximates the color indigo that is usually reproduced in pigments and colored pencils.

text: Interestingly, programming colors did not require a new screen programming language, because the implementation was completely at the hardware level.  A protocol called the IBM 5250 Data Stream interpreted field attributes such as blinking, non-display, high intensity, reverse image, underline, and column separators and was used in combination to create colors.  Normal text was presented as green on a 3180 color terminal, but high intensity became white.  Column separators became yellow.  Blinking became red.  Underlined text was presented as blue.  High intensity blinking became pink.  High intensity column separators became turquoise.

text: |- style="background-color:#ffbbbb"| 1 || April 3 || Red Sox || 7–3 || Schilling || Millwood (0–1) || || 51,541 || 0–1|- style="background-color:#bbffbb"| 2 || April 4 || Red Sox || 10–4 || Padilla (1–0) || Wakefield || || 29,442 || 1–1|- style="background-color:#ffbbbb"| 3 || April 5 || Red Sox || 2–1 || Beckett || Loe (0–1) || Papelbon || 32,416 || 1–2|- style="background-color:#ffbbbb"| 4 || April 6 || Tigers || 10–6 || Robertson || Dickey (0–1) || || 21,713 || 1–3|- style="background-color:#ffbbbb"| 5 || April 7 || Tigers || 5–2 || Maroth || Koronka (0–1) || Rodney || 21,155 || 1–4|- style="background-color:#ffbbbb"| 6 || April 8 || Tigers || 7–0 || Verlander || Millwood (0–2) || || 35,066 || 1–5|- style="background-color:#bbffbb"| 7 || April 9 || Tigers || 5–3 || Padilla (2–0) || Rogers || Cordero (1) || 31,032 || 2–5|- style="background-color:#ffbbbb"| 8 || April 10 || @ Angels || 5–2 || Lackey || Loe (0–2) || Rodríguez || 38,003 || 2–6|- style="background-color:#ffbbbb"| 9 || April 11 || @ Angels || 5–4 || Romero || Cordero (0–1) || || 40,012 || 2–7|- style="background-color:#bbffbb"| 10 || April 12 || @ Angels || 11–3 || Koronka (1–1) || Escobar || || 42,911 || 3–7|- style="background-color:#bbffbb"| 11 || April 14 || @ Athletics || 6–3 || Millwood (1–2) || Zito || || 14,049 || 4–7|- style="background-color:#ffbbbb"| 12 || April 15 || @ Athletics || 5–4 || Harden || Padilla (2–1) || Street || 16,186 || 4–8|- style="background-color:#bbffbb"| 13 || April 16 || @ Athletics || 5–3 || Cordero (1–1) || Street || || 21,256 || 5–8|- style="background-color:#bbffbb"| 14 || April 18 || @ Mariners || 7–4 || Koronka (2–1) || Hernández || Cordero (2) || 17,927 || 6–8|- style="background-color:#ffbbbb"| 15 || April 19 || @ Mariners || 9–6 || Putz || Cordero (1–2)|| || 17,613 || 6–9|- style="background-color:#bbffbb"| 16 || April 20 || @ Mariners || 4–3 || Bauer (1–0) || Guardado || Cordero (3) || 17,917 || 7–9|- style="background-color:#bbffbb"| 17 || April 21 || Devil Rays || 13–7 || Wilson (1–0) || McClung || || 25,129 || 8–9|- style="background-color:#bbffbb"| 18 || April 22 || Devil Rays || 6–5 || Cordero (2–2) || Orvella || || 35,302 || 9–9|- style="background-color:#bbffbb"| 19 || April 23 || Devil Rays || 8–3 || Koronka (3–1) || Fossum || || 29,232 || 10–9|- style="background-color:#ffbbbb"| 20 || April 24 || Athletics || 3–2 || Blanton || Wilson (1–1) || Duchscherer || 23,802 || 10–10|- style="background-color:#bbffbb"| 21 || April 25 || Athletics || 6–5 || Cordero (3–2) || Gaudin || || 25,492 || 11–10|- style="background-color:#ffbbbb"| 22 || April 26 || Athletics || 6–4 || Duchscherer || Wilson (1–2) || Kennedy || 23,756 || 11–11|- style="background-color:#ffbbbb"| 23 || April 28 || @ Indians || 7–6 || Davis || Bauer (1–1) || Wickman || 22,106 || 11–12|- style="background-color:#bbffbb"| 24 || April 29 || @ Indians || 7–5 || Millwood (2–2) || Carmona|| Otsuka (1) || 37,496 || 12–12|- style="background-color:#bbffbb"| 25 || April 30 || @ Indians || 8–4 || Padilla (3–1) || Davis || || 22,989 || 13–12|- style="background-color:#bbffbb"| 26 || May 1 || @ Devil Rays || 3–0 || Loe (1–2) || McClung || Otsuka (2) || 7,295 || 14–12|- style="background-color:#bbffbb"| 27 || May 2 || @ Devil Rays || 7–5 || Tejeda (1–0) || Hendrickson || Otsuka (3) || 7,147 || 15–12|- style="background-color:#bbffbb"| 28 || May 3 || Orioles || 2–1 || Bauer (2–1) || Halama || || 23,783 || 16–12|- style="background-color:#bbffbb"| 29 || May 4 || Orioles || 8–2 || Millwood (3–2) || Chen || || 21,962 || 17–12|- style="background-color:#ffbbbb"| 30 || May 5 || Yankees || 8–7 || Mussina || Padilla (3–2) || Rivera || 39,002 || 17–13|- style="background-color:#ffbbbb"| 31 || May 6 || Yankees || 6–1 || Chacón || Loe (1–3) || || 48,634 || 17–14|- style="background-color:#ffbbbb"| 32 || May 7 || Yankees || 8–5 || Wang || Tejeda (1–1) || || 46,013 || 17–15|- style="background-color:#bbffbb"| 33 || May 8 || Twins || 6–4 || Koronka (4–1) || Radke || Otsuka (4) || 18,608 || 18–15|- style="background-color:#ffbbbb"| 34 || May 9 || Twins || 15–5 || Silva || Millwood (3–3) || Liriano || 19,309 || 18–16|- style="background-color:#ffbbbb"| 35 || May 10 || Twins || 4–3 || Lohse || Padilla (3–3) || Nathan || 23,037 || 18–17|- style="background-color:#bbffbb"| 36 || May 12 || @ Red Sox || 6–0 || Loe (2–3) || Clement || || 36,102 || 19–17|- style="background-color:#bbbbbb"| – || May 13 || @ Red Sox || colspan=5|Postponed || 19–17|- style="background-color:#bbbbbb"| – || May 14 || @ Red Sox || colspan=5|Postponed || 19–17|- style="background-color:#bbffbb"| 37 || May 15 || @ Yankees || 4–2 || Millwood (4–3) || Farnsworth || Otsuka (5) || 41,115 || 20–17|- style="background-color:#ffbbbb"| 38 || May 16 || @ Yankees || 14–13 || Rivera || Otsuka (0–1) || || 40,757 || 20–18|- style="background-color:#ffbbbb"| 39 || May 17 || @ Yankees || 4–3 || Wang || Loe (2–4) || Rivera || 52,547 || 20–19|- style="background-color:#bbffbb"| 40 || May 18 || @ Yankees || 6–2 || Padilla (4–3) || Wright || || 47,194 || 21–19|- style="background-color:#ffbbbb"| 41 || May 19 || @ Astros || 5–3 || Qualls || Benoit (0–1) || Lidge || 40,790 || 21–20|- style="background-color:#bbffbb"| 42 || May 20 || @ Astros || 6–0 || Millwood (5–3) || Pettitte || || 41,480 || 22–20|- style="background-color:#ffbbbb"| 43 || May 21 || @ Astros || 5–0 || Buchholz || Koronka (4–2) || || 37,979 || 22–21|- style="background-color:#bbffbb"| 44 || May 22 || Angels || 3–2 || Loe (3–4) || Escobar || Otsuka (6) || 22,032 || 23–21|- style="background-color:#ffbbbb"| 45 || May 23 || Angels || 7–6 || Carrasco || Cordero (3–3) || Rodríguez || 21,833 || 23–22|- style="background-color:#ffbbbb"| 46 || May 24 || Angels || 8–5 || Weaver || Tejeda (1–2) || || 16,536 || 23–23|- style="background-color:#bbffbb"| 47 || May 25 || Athletics || 8–7 || Otsuka (1–1) || Street || || 22,006 || 24–23|- style="background-color:#bbffbb"| 48 || May 26 || Athletics || 5–3 || Cordero (4–3) || Gaudin || Otsuka (7) || 27,791 || 25–23|- style="background-color:#ffbbbb"| 49 || May 27 || Athletics || 6–3 || Zito || Loe (3–5) || Street || 41,226 || 25–24|- style="background-color:#bbffbb"| 50 || May 28 || Athletics || 4–3 || Padilla (5–3) || Saarloos || Otsuka (8) || 38,905 || 26–24|- style="background-color:#bbffbb"| 51 || May 29 || Mariners || 2–0 || Rheinecker (1–0) || Washburn || Bauer (1) || 23,771 || 27–24|- style="background-color:#bbffbb"| 52 || May 30 || Mariners || 6–4 || Millwood (6–3) || Meche || Otsuka (9) || 18,084 || 28–24|- style="background-color:#ffbbbb"| 53 || May 31 || Mariners || 14–5 || Hernández || Koronka (4–3) || || 19,131 || 28–25|- style="background-color:#bbffbb"| 54 || June 2 || @ White Sox || 4–3 || Cordero (5–3) || McCarthy || Otsuka (10) || 32,802 || 29–25|- style="background-color:#ffbbbb"| 55 || June 3 || @ White Sox || 8–6 || Vázquez || Padilla (5–4) || Jenks || 38,697 || 29–26|- style="background-color:#bbffbb"| 56 || June 4 || @ White Sox || 10–2 || Rheinecker (2–0) || Buehrle || || 35,915 || 30–26|- style="background-color:#bbffbb"| 57 || June 6 || @ Royals || 6–2 || Millwood (7–3) || Elarton || Cordero (4) || 11,715 || 31–26|- style="background-color:#bbffbb"| 58 || June 7 || @ Royals || 4–2 || Otsuka (2–1) || Burgos || Cordero (5) || 11,246 || 32–26|- style="background-color:#ffbbbb"| 59 || June 8 || @ Royals || 16–12 || Gobble || Mahay (0–1) || || 11,815 || 32–27|- style="background-color:#ffbbbb"| 60 || June 9 || @ Red Sox || 4–3 || Papelbon || Cordero (5–4) || || 36,133 || 32–28|- style="background-color:#bbffbb"| 61 || June 10 || @ Red Sox || 7–4 || Corey (1–0) || Tavárez || Otsuka (11) || 36,920 || 33–28|- style="background-color:#bbbbbb"| – || June 10 || @ Red Sox || colspan=5|Postponed || 33–28|- style="background-color:#ffbbbb"| 62 || June 11 || @ Red Sox || 5–4 || Delcarmen || Otsuka (2–2) || || 36,232 || 33–29|- style="background-color:#bbffbb"| 63 || June 11 || @ Red Sox || 13–6 || Wasdin (1–0) || Pauley || || 35,602 || 34–29|- style="background-color:#ffbbbb"| 64 || June 12 || @ White Sox || 8–3 || Contreras || Koronka (4–4) || || 29,182 || 34–30|- style="background-color:#ffbbbb"| 65 || June 13 || @ White Sox || 5–2 || Garland || Loe (3–6) || Jenks || 18,354 || 34–31|- style="background-color:#bbffbb"| 66 || June 14 || @ White Sox || 8–0 || Padilla (6–4) || Vázquez || || 28,776 || 35–31|- style="background-color:#ffbbbb"| 67 || June 15 || @ White Sox || 8–2 || Buehrle || Rheinecker (2–1) || || 19,424 || 35–32|- style="background-color:#bbffbb"| 68 || June 16 || Diamondbacks || 5–3 || Millwood (8–3) || Webb || Otsuka (12) || 28,167 || 36–32|- style="background-color:#bbffbb"| 69 || June 17 || Diamondbacks || 8–4 || Koronka (5–4) || Jarvis || || 41,165 || 37–32|- style="background-color:#bbffbb"| 70 || June 18 || Diamondbacks || 10–7 || Cordero (6–4) || Vizcaíno || Otsuka (13) || 24,358 || 38–32|- style="background-color:#ffbbbb"| 71 || June 20 || Padres || 6–5 || Thompson || Feldman (0–1) || Hoffman || 24,064 || 38–33|- style="background-color:#ffbbbb"| 72 || June 21 || Padres || 3–2 || Linebrink || Otsuka (2–3) || Hoffman || 29,047 || 38–34|- style="background-color:#bbffbb"| 73 || June 22 || Padres || 5–3 || Rheinecker (3–1) || Hensley || Otsuka (14) || 24,637 || 39–34|- style="background-color:#bbffbb"| 74 || June 23 || @ Rockies || 8–6 || Koronka (6–4) || Francis || Otsuka (15) || 28,360 || 40–34|- style="background-color:#ffbbbb"| 75 || June 24 || @ Rockies || 11–6 || Fogg || Tejeda (1–3) || || 31,439 || 40–35|- style="background-color:#ffbbbb"| 76 || June 25 || @ Rockies || 3–0 || Kim || Padilla (6–5) || Fuentes || 28,313 || 40–36|- style="background-color:#ffbbbb"| 77 || June 27 || @ Giants || 5–3 || Morris || Millwood (8–4) || Accardo || 36,053 || 40–37|- style="background-color:#ffbbbb"| 78 || June 28 || @ Giants || 5–1 || Lowry || Rheinecker (3–2) || || 37,275 || 40–38|- style="background-color:#ffbbbb"| 79 || June 29 || @ Giants || 2–1 || Sánchez || Feldman (0–2) || Accardo || 38,212 || 40–39|- style="background-color:#bbffbb"| 80 || June 30 || Astros || 3–1 || Padilla (7–5) || Oswalt || Otsuka (16) || 40,177 || 41–39|- style="background-color:#ffbbbb"| 81 || July 1 || Astros || 7–0 || Buchholz || Wasdin (1–1) || || 35,131 || 41–40|- style="background-color:#ffbbbb"| 82 || July 2 || Astros || 9–5 || Rodríguez || Millwood (8–5) || Lidge || 39,298 || 41–41|- style="background-color:#bbffbb"| 83 || July 3 || Blue Jays || 6–1 || Rheinecker (4–2) || Lilly || || 30,021 || 42–41|- style="background-color:#ffbbbb"| 84 || July 4 || Blue Jays || 3–2 || Halladay || Koronka (6–5) || Ryan || 42,255 || 42–42|- style="background-color:#bbffbb"| 85 || July 5 || Blue Jays || 9–3 || Padilla (8–5) || Janssen || Cordero (6) || 25,803 || 43–42|- style="background-color:#bbffbb"| 86 || July 7 || Twins || 9–4 || Wasdin (2–1) || Silva || || 30,207 || 44–42|- style="background-color:#ffbbbb"| 87 || July 8 || Twins || 4–0 || Liriano || Rheinecker (4–3) || || 36,035 || 44–43|- style="background-color:#bbffbb"| 88 || July 9 || Twins || 5–2 || Bauer (3–1) || Santana || Otsuka (17) || 23,268 || 45–43|- style="background-color:#bbffbb"| 89 || July 13 || @ Orioles || 15–1 || Padilla (9–5) || Cabrera || || 22,780 || 46–43|- style="background-color:#bbffbb"| 90 || July 14 || @ Orioles || 2–1 || Millwood (9–5) || Benson || Otsuka (18) || 28,201 || 47–43|- style="background-color:#ffbbbb"| 91 || July 15 || @ Orioles || 8–1 || Bédard || Rheinecker (4–4) || || 35,804 || 47–44|- style="background-color:#ffbbbb"| 92 || July 16 || @ Orioles || 4–0 || López || Wasdin (2–2) || || 25,169 || 47–45|- style="background-color:#ffbbbb"| 93 || July 17 || @ Blue Jays || 10–1 || Lilly || Koronka (6–6) || || 16,872 || 47–46|- style="background-color:#bbffbb"| 94 || July 18 || @ Blue Jays || 5–2 || Padilla (10–5) || Schoeneweis || Otsuka (19) || 20,017 || 48–46|- style="background-color:#bbffbb"| 95 || July 19 || @ Blue Jays || 5–4 || Millwood (10–5) || Janssen || Otsuka (20) || 20,778 || 49–46|- style="background-color:#ffbbbb"| 96 || July 20 || @ Red Sox || 6–4 || Schilling || Corey (1–1) || Timlin || 36,489 || 49–47|- style="background-color:#bbffbb"| 97 || July 21 || @ White Sox || 10–3 || Mahay (1–1) || Buehrle || Bauer (2) || 38,246 || 50–47|- style="background-color:#bbffbb"| 98 || July 22 || @ White Sox || 3–1 || Cordero (7–4) || Jenks || Otsuka (21) || 39,250 || 51–47|- style="background-color:#ffbbbb"| 99 || July 23 || @ White Sox || 5–0 || Garland || Padilla (10–6) || || 38,312 || 51–48|- style="background-color:#ffbbbb"| 100 || July 24 || Yankees || 6–2 || Johnson || Millwood (10–6) || || 43,206 || 51–49|- style="background-color:#ffbbbb"| 101 || July 25 || Yankees || 7–4 || Mussina || Eaton (0–1) || Rivera || 42,171 || 51–50|- style="background-color:#ffbbbb"| 102 || July 26 || Yankees || 8–7 || Chacón || Otsuka (2–4) || Rivera || 43,527 || 51–51|- style="background-color:#ffbbbb"| 103 || July 28 || Royals || 11–3 || Hudson || Padilla (10–7) || || 30,202 || 51–52|- style="background-color:#ffbbbb"| 104 || July 29 || Royals || 5–3 || de la Rosa || Millwood (10–7) || Burgos || 42,017 || 51–53|- style="background-color:#bbffbb"| 105 || July 30 || Royals || 15–2 || Koronka (7–6) || Redman || || 29,726 || 52–53|- style="background-color:#ffbbbb"| 106 || July 31 || @ Twins || 15–2 || Silva || Rheinecker (4–5) || || 19,532 || 52–54|- style="background-color:#bbffbb"| 107 || August 1 || @ Twins || 9–0 || Eaton (1–1) || Baker || || 25,969 || 53–54|- style="background-color:#bbffbb"| 108 || August 2 || @ Twins || 10–2 || Wells (1–0) || Bonser || || 26,492 || 54–54|- style="background-color:#bbffbb"| 109 || August 3 || @ Angels || 7–6 || Littleton (1–0) || Gregg || Otsuka (22) || 43,569 || 55–54|- style="background-color:#bbffbb"| 110 || August 4 || @ Angels || 7–3 || Padilla (11–7) || Lackey || || 44,074 || 56–54|- style="background-color:#ffbbbb"| 111 || August 5 || @ Angels || 10–3 ||Santana || Koronka (7–7) || || 43,701 || 56–55|- style="background-color:#ffbbbb"| 112 || August 6 || @ Angels || 9–1 || Saunders || Eaton (1–2) || || 43,804 || 56–56|- style="background-color:#ffbbbb"| 113 || August 7 || @ Athletics || 7–4 || Loaiza || Vólquez (0–1) || Calero || 21,208 || 56–57|- style="background-color:#ffbbbb"| 114 || August 8 || @ Athletics || 7–6 || Saarloos || Millwood (10–8) || Street || 21,650 || 56–58|- style="background-color:#bbffbb"| 115 || August 9 || @ Athletics || 14–0 || Padilla (12–7) || Zito || || 30,127 || 58–57|- style="background-color:#bbffbb"| 116 || August 10 || Mariners || 8–2 || Eaton (2–2) || Piñeiro || || 31,763 || 58–58|- style="background-color:#bbffbb"| 117 || August 11 || Mariners || 14–7 || Littleton (2–0) || Meche || || 28,207 || 59–58|- style="background-color:#bbffbb"| 118 || August 12 || Mariners || 5–4 || Vólquez (1–1) || Moyer || Otsuka (23) || 35,784 || 60–58|- style="background-color:#bbffbb"| 119 || August 13 || Mariners || 10–6 || Millwood (11–8) || Hernández || || 29,717 || 61–58|- style="background-color:#ffbbbb"| 120 || August 15 || Angels || 9–7 || Carrasco || Littleton (2–1) || Rodríguez || 26,561 || 61–59|- style="background-color:#bbffbb"| 121 || August 16 || Angels || 9–3 || Eaton (3–2) || Saunders || || 31,723 || 62–59|- style="background-color:#ffbbbb"| 122 || August 17 || @ Tigers || 4–2 || Rogers || Vólquez (1–2) || Jones || 34,756 || 62–60|- style="background-color:#bbffbb"| 123 || August 18 || @ Tigers || 2–1 || Millwood (12–8) || Miner || Otsuka (24) || 39,327 || 63–60|- style="background-color:#bbffbb"| 124 || August 19 || @ Tigers || 3–1 || Tejeda (2–3) || Robertson || Otsuka (25) || 41,643 || 64–60|- style="background-color:#bbffbb"| 125 || August 20 || @ Tigers || 7–6 || Benoit (1–1) || Grilli || Otsuka (26) || 39,071 || 65–60|- style="background-color:#ffbbbb"| 126 || August 21 || @ Devil Rays || 4–3 || Shields || Eaton (3–2) || McClung || 7,820 || 65–61|- style="background-color:#ffbbbb"| 127 || August 22 || @ Devil Rays || 5–3 || Camp || Padilla (12–8) || McClung || 8,028 || 65–62|- style="background-color:#ffbbbb"| 128 || August 23 || @ Devil Rays || 7–3 || Camp || Millwood (12–9) || || 9,701 || 65–63|- style="background-color:#bbffbb"| 129 || August 24 || @ Devil Rays || 4–3 || Tejeda (3–3) || Corcoran || Otsuka (27) || 9,454 || 66–63|- style="background-color:#ffbbbb"| 130 || August 25 || Athletics || 9–3 || Zito || Vólquez (1–3) || || 31,178 || 66–64|- style="background-color:#ffbbbb"| 131 || August 26 || Athletics || 5–3 || Blanton || Eaton (3–4) || Duchscherer || 37,752 || 66–65|- style="background-color:#bbffbb"| 132 || August 27 || Athletics || 3–0 || Padilla (13–8) || Haren || Otsuka (28) || 25,708 || 67–65|- style="background-color:#bbffbb"| 133 || August 29 || Orioles || 9–4 || Millwood (13–9) || López || || 23,684 || 68–65|- style="background-color:#ffbbbb"| 134 || August 30 || Orioles || 7–4 || Hawkins || Mahay (1–2) || || 23,812 || 68–66|- style="background-color:#bbffbb"| 135 || August 31 || Orioles || 7–5 || Eaton (4–4) || Cabrera || Otsuka (29) || 21,446 || 69–66|- style="background-color:#ffbbbb"| 136 || September 1 || Indians || 7–2 || Westbrook || Padilla (13–9) || || 23,776 || 69–67|- style="background-color:#ffbbbb"| 137 || September 2 || Indians || 6–5 || Lee || Vólquez (1–4) || Mastny || 40,222 || 69–68|- style="background-color:#bbffbb"| 138 || September 3 || Indians || 5–2 || Millwood (14–9) || Byrd || Otsuka (30) || 19,667 || 70–68|- style="background-color:#bbffbb"| 139 || September 4 || @ Athletics || 8–1 || Tejeda (4–3) || Zito || || 23,949 || 71–68|- style="background-color:#bbffbb"| 140 || September 5 || @ Athletics || 5–4 || Eaton (5–4) || Saarloos || Otsuka (31) || 27,225 || 72–68|- style="background-color:#ffbbbb"| 141 || September 6 || @ Athletics || 9–6 || Blanton || Rupe (0–1) || Duchscherer || 17,838 || 72–69|- style="background-color:#ffbbbb"| 142 || September 8 || @ Mariners || 7–2 || Baek || Millwood (14–10) || Piñeiro || 28,646 || 72–70|- style="background-color:#ffbbbb"| 143 || September 9 || @ Mariners || 3–2 || Fruto || Rheinecker (4–6) || || 33,454 || 72–71|- style="background-color:#bbffbb"| 144 || September 10 || @ Mariners || 4–2 || Wilson (2–2) || Huber || Otsuka (32) || 34,321 || 73–71|- style="background-color:#ffbbbb"| 145 || September 12 || @ Tigers || 3–2 || Rodney || Mahay (1–3) || || 24,196 || 73–72|- style="background-color:#bbffbb"| 146 || September 13 || @ Tigers || 11–3 || Millwood (15–10) || Verlander || || 24,672 || 74–72|- style="background-color:#ffbbbb"| 147 || September 14 || Angels || 2–1 || Carrasco || Vólquez (1–5) || Rodríguez || 21,488 || 74–73|- style="background-color:#ffbbbb"| 148 || September 15 || Angels || 2–1 || Donnelly || Francisco (0–1) || || 30,788 || 74–74|- style="background-color:#bbffbb"| 149 || September 16 || Angels || 12–6 || Eaton (6–4) || Lackey || || 40,196 || 75–74|- style="background-color:#bbffbb"| 150 || September 17 || Angels || 8–1 || Padilla (14–9) || Santana || || 24,303 || 76–74|- style="background-color:#bbffbb"| 151 || September 18 || Mariners || 8–1 || Millwood (16–10) || Hernández || || 18,214 || 77–74|- style="background-color:#ffbbbb"| 152 || September 19 || Mariners || 9–7 || Huber || Wilson (2–3) || Putz || 18,551 || 77–75|- style="background-color:#ffbbbb"| 153 || September 20 || Mariners || 6–3 || Baek || Tejeda (4–4) || Putz || 26,006 || 77–76|- style="background-color:#bbffbb"| 154 || September 22 || Indians || 12–4 || Eaton (7–4) || Byrd || || 26,284 || 78–76|- style="background-color:#ffbbbb"| 155 || September 23 || Indians || 6–3 || Miller || Padilla (14–10) || Betancourt || 38,351 || 78–77|- style="background-color:#ffbbbb"| 156 || September 24 || Indians || 11–6 || Westbrook || Millwood (16–11) || || 36,617 || 78–78|- style="background-color:#ffbbbb"| 157 || September 25 || @ Angels || 8–3 || Saunders || Vólquez (1–6) || Shields || 39,781 || 78–79|- style="background-color:#bbffbb"| 158 || September 26 || @ Angels || 5–2 || Tejeda (5–4) || Escobar || Littleton (1) || 37,339 || 79–79|- style="background-color:#ffbbbb"| 159 || September 27 || @ Angels || 6–5 || Donnelly || Wilson (2–4) || Rodríguez || 38,032 || 79–80|- style="background-color:#bbffbb"| 160 || September 29 || @ Mariners || 6–5 || Padilla (15–10) || Fruto || Wilson (1) || 30,766 || 80–80|- style="background-color:#ffbbbb"| 161 || September 30 || @ Mariners || 3–1 || Hernández || Millwood (16–12) || Putz || 23,310 || 80–81|- style="background-color:#ffbbbb"| 162 || October 1 || @ Mariners || 3–2 || Woods || Tejeda (5–5) || Putz || 28,361 || 80–82

text: Red Sox

text: || 7–3 ||

text: Schilling

text: Millwood

text: (0–1) || || 51,541 || 0–1|- style="background-color:#bbffbb"| 2 || April 4 ||

text: Red Sox

text: || 10–4 ||

text: Padilla

text: (1–0) ||

text: Wakefield

text: || || 29,442 || 1–1|- style="background-color:#ffbbbb"| 3 || April 5 ||

text: Red Sox

text: || 2–1 ||

text: Beckett

text: Loe

text: (0–1) ||

text: Papelbon

text: || 32,416 || 1–2|- style="background-color:#ffbbbb"| 4 || April 6 ||

text: Tigers

text: || 10–6 ||

text: Robertson

text: Dickey

text: (0–1) || || 21,713 || 1–3|- style="background-color:#ffbbbb"| 5 || April 7 ||

text: Tigers

text: || 5–2 ||

text: Maroth

text: Koronka

text: (0–1) ||

text: Rodney

text: || 21,155 || 1–4|- style="background-color:#ffbbbb"| 6 || April 8 ||

text: Tigers

text: || 7–0 ||

text: Verlander

text: Millwood

text: (0–2) || || 35,066 || 1–5|- style="background-color:#bbffbb"| 7 || April 9 ||

text: Tigers

text: || 5–3 ||

text: Padilla

text: (2–0) ||

text: Rogers

text: Cordero

text: (1) || 31,032 || 2–5|- style="background-color:#ffbbbb"| 8 || April 10 || @

text: Angels

text: || 5–2 ||

text: Lackey

text: Loe

text: (0–2) ||

text: Rodríguez

text: || 38,003 || 2–6|- style="background-color:#ffbbbb"| 9 || April 11 || @

text: Angels

text: || 5–4 ||

text: Romero

text: Cordero

text: (0–1) || || 40,012 || 2–7|- style="background-color:#bbffbb"| 10 || April 12 || @

text: Angels

text: || 11–3 ||

text: Koronka

text: (1–1) ||

text: Escobar

text: || || 42,911 || 3–7|- style="background-color:#bbffbb"| 11 || April 14 || @

text: Athletics

text: || 6–3 ||

text: Millwood

text: (1–2) ||

text: Zito

text: || || 14,049 || 4–7|- style="background-color:#ffbbbb"| 12 || April 15 || @

text: Athletics

text: || 5–4 ||

text: Harden

text: Padilla

text: (2–1) ||

text: Street

text: || 16,186 || 4–8|- style="background-color:#bbffbb"| 13 || April 16 || @

text: Athletics

text: || 5–3 ||

text: Cordero

text: (1–1) ||

text: Street

text: || || 21,256 || 5–8|- style="background-color:#bbffbb"| 14 || April 18 || @

text: Mariners

text: || 7–4 ||

text: Koronka

text: (2–1) ||

text: Hernández

text: Cordero

text: (2) || 17,927 || 6–8|- style="background-color:#ffbbbb"| 15 || April 19 || @

text: Mariners

text: || 9–6 ||

text: Putz

text: Cordero

text: (1–2)|| || 17,613 || 6–9|- style="background-color:#bbffbb"| 16 || April 20 || @

text: Mariners

text: || 4–3 ||

text: Bauer

text: (1–0) ||

text: Guardado

text: Cordero

text: (3) || 17,917 || 7–9|- style="background-color:#bbffbb"| 17 || April 21 ||

text: Devil Rays

text: || 13–7 ||

text: Wilson

text: (1–0) ||

text: McClung

text: || || 25,129 || 8–9|- style="background-color:#bbffbb"| 18 || April 22 ||

text: Devil Rays

text: || 6–5 ||

text: Cordero

text: (2–2) ||

text: Orvella

text: || || 35,302 || 9–9|- style="background-color:#bbffbb"| 19 || April 23 ||

text: Devil Rays

text: || 8–3 ||

text: Koronka

text: (3–1) ||

text: Fossum

text: || || 29,232 || 10–9|- style="background-color:#ffbbbb"| 20 || April 24 ||

text: Athletics

text: || 3–2 ||

text: Blanton

text: Wilson

text: (1–1) ||

text: Duchscherer

text: || 23,802 || 10–10|- style="background-color:#bbffbb"| 21 || April 25 ||

text: Athletics

text: || 6–5 ||

text: Cordero

text: (3–2) ||

text: Gaudin

text: || || 25,492 || 11–10|- style="background-color:#ffbbbb"| 22 || April 26 ||

text: Athletics

text: || 6–4 ||

text: Duchscherer

text: Wilson

text: (1–2) ||

text: Kennedy

text: || 23,756 || 11–11|- style="background-color:#ffbbbb"| 23 || April 28 || @

text: Indians

text: || 7–6 ||

text: Davis

text: Bauer

text: (1–1) ||

text: Wickman

text: || 22,106 || 11–12|- style="background-color:#bbffbb"| 24 || April 29 || @

text: Indians

text: || 7–5 ||

text: Millwood

text: (2–2) ||

text: Carmona

text: Otsuka

text: (1) || 37,496 || 12–12|- style="background-color:#bbffbb"| 25 || April 30 || @

text: Indians

text: || 8–4 ||

text: Padilla

text: (3–1) ||

text: Davis

text: || || 22,989 || 13–12|- style="background-color:#bbffbb"| 26 || May 1 || @

text: Devil Rays

text: || 3–0 ||

text: Loe

text: (1–2) ||

text: McClung

text: Otsuka

text: (2) || 7,295 || 14–12|- style="background-color:#bbffbb"| 27 || May 2 || @

text: Devil Rays

text: || 7–5 ||

text: Tejeda

text: (1–0) ||

text: Hendrickson

text: Otsuka

text: (3) || 7,147 || 15–12|- style="background-color:#bbffbb"| 28 || May 3 ||

text: Orioles

text: || 2–1 ||

text: Bauer

text: (2–1) ||

text: Halama

text: || || 23,783 || 16–12|- style="background-color:#bbffbb"| 29 || May 4 ||

text: Orioles

text: || 8–2 ||

text: Millwood

text: (3–2) ||

text: Chen

text: || || 21,962 || 17–12|- style="background-color:#ffbbbb"| 30 || May 5 ||

text: Yankees

text: || 8–7 ||

text: Mussina

text: Padilla

text: (3–2) ||

text: Rivera

text: || 39,002 || 17–13|- style="background-color:#ffbbbb"| 31 || May 6 ||

text: Yankees

text: || 6–1 ||

text: Chacón

text: Loe

text: (1–3) || || 48,634 || 17–14|- style="background-color:#ffbbbb"| 32 || May 7 ||

text: Yankees

text: || 8–5 ||

text: Wang

text: Tejeda

text: (1–1) || || 46,013 || 17–15|- style="background-color:#bbffbb"| 33 || May 8 ||

text: Twins

text: || 6–4 ||

text: Koronka

text: (4–1) ||

text: Radke

text: Otsuka

text: (4) || 18,608 || 18–15|- style="background-color:#ffbbbb"| 34 || May 9 ||

text: Twins

text: || 15–5 ||

text: Silva

text: Millwood

text: (3–3) ||

text: Liriano

text: || 19,309 || 18–16|- style="background-color:#ffbbbb"| 35 || May 10 ||

text: Twins

text: || 4–3 ||

text: Lohse

text: Padilla

text: (3–3) ||

text: Nathan

text: || 23,037 || 18–17|- style="background-color:#bbffbb"| 36 || May 12 || @

text: Red Sox

text: || 6–0 ||

text: Loe

text: (2–3) ||

text: Clement

text: || || 36,102 || 19–17|- style="background-color:#bbbbbb"| – || May 13 || @

text: Red Sox

text: || colspan=5|Postponed || 19–17|- style="background-color:#bbbbbb"| – || May 14 || @

text: Red Sox

text: || colspan=5|Postponed || 19–17|- style="background-color:#bbffbb"| 37 || May 15 || @

text: Yankees

text: || 4–2 ||

text: Millwood

text: (4–3) ||

text: Farnsworth

text: Otsuka

text: (5) || 41,115 || 20–17|- style="background-color:#ffbbbb"| 38 || May 16 || @

text: Yankees

text: || 14–13 ||

text: Rivera

text: Otsuka

text: (0–1) || || 40,757 || 20–18|- style="background-color:#ffbbbb"| 39 || May 17 || @

text: Yankees

text: || 4–3 ||

text: Wang

text: Loe

text: (2–4) ||

text: Rivera

text: || 52,547 || 20–19|- style="background-color:#bbffbb"| 40 || May 18 || @

text: Yankees

text: || 6–2 ||

text: Padilla

text: (4–3) ||

text: Wright

text: || || 47,194 || 21–19|- style="background-color:#ffbbbb"| 41 || May 19 || @

text: Astros

text: || 5–3 ||

text: Qualls

text: Benoit

text: (0–1) ||

text: Lidge

text: || 40,790 || 21–20|- style="background-color:#bbffbb"| 42 || May 20 || @

text: Astros

text: || 6–0 ||

text: Millwood

text: (5–3) ||

text: Pettitte

text: || || 41,480 || 22–20|- style="background-color:#ffbbbb"| 43 || May 21 || @

text: Astros

text: || 5–0 ||

text: Buchholz

text: Koronka

text: (4–2) || || 37,979 || 22–21|- style="background-color:#bbffbb"| 44 || May 22 ||

text: Angels

text: || 3–2 ||

text: Loe

text: (3–4) ||

text: Escobar

text: Otsuka

text: (6) || 22,032 || 23–21|- style="background-color:#ffbbbb"| 45 || May 23 ||

text: Angels

text: || 7–6 ||

text: Carrasco

text: Cordero

text: (3–3) ||

text: Rodríguez

text: || 21,833 || 23–22|- style="background-color:#ffbbbb"| 46 || May 24 ||

text: Angels

text: || 8–5 ||

text: Weaver

text: Tejeda

text: (1–2) || || 16,536 || 23–23|- style="background-color:#bbffbb"| 47 || May 25 ||

text: Athletics

text: || 8–7 ||

text: Otsuka

text: (1–1) ||

text: Street

text: || || 22,006 || 24–23|- style="background-color:#bbffbb"| 48 || May 26 ||

text: Athletics

text: || 5–3 ||

text: Cordero

text: (4–3) ||

text: Gaudin

text: Otsuka

text: (7) || 27,791 || 25–23|- style="background-color:#ffbbbb"| 49 || May 27 ||

text: Athletics

text: || 6–3 ||

text: Zito

text: Loe

text: (3–5) ||

text: Street

text: || 41,226 || 25–24|- style="background-color:#bbffbb"| 50 || May 28 ||

text: Athletics

text: || 4–3 ||

text: Padilla

text: (5–3) ||

text: Saarloos

text: Otsuka

text: (8) || 38,905 || 26–24|- style="background-color:#bbffbb"| 51 || May 29 ||

text: Mariners

text: || 2–0 ||

text: Rheinecker

text: (1–0) ||

text: Washburn

text: Bauer

text: (1) || 23,771 || 27–24|- style="background-color:#bbffbb"| 52 || May 30 ||

text: Mariners

text: || 6–4 ||

text: Millwood

text: (6–3) ||

text: Meche

text: Otsuka

text: (9) || 18,084 || 28–24|- style="background-color:#ffbbbb"| 53 || May 31 ||

text: Mariners

text: || 14–5 ||

text: Hernández

text: Koronka

text: (4–3) || || 19,131 || 28–25|- style="background-color:#bbffbb"| 54 || June 2 || @

text: White Sox

text: || 4–3 ||

text: Cordero

text: (5–3) ||

text: McCarthy

text: Otsuka

text: (10) || 32,802 || 29–25|- style="background-color:#ffbbbb"| 55 || June 3 || @

text: White Sox

text: || 8–6 ||

text: Vázquez

text: Padilla

text: (5–4) ||

text: Jenks

text: || 38,697 || 29–26|- style="background-color:#bbffbb"| 56 || June 4 || @

text: White Sox

text: || 10–2 ||

text: Rheinecker

text: (2–0) ||

text: Buehrle

text: || || 35,915 || 30–26|- style="background-color:#bbffbb"| 57 || June 6 || @

text: Royals

text: || 6–2 ||

text: Millwood

text: (7–3) ||

text: Elarton

text: Cordero

text: (4) || 11,715 || 31–26|- style="background-color:#bbffbb"| 58 || June 7 || @

text: Royals

text: || 4–2 ||

text: Otsuka

text: (2–1) ||

text: Burgos

text: Cordero

text: (5) || 11,246 || 32–26|- style="background-color:#ffbbbb"| 59 || June 8 || @

text: Royals

text: || 16–12 ||

text: Gobble

text: Mahay

text: (0–1) || || 11,815 || 32–27|- style="background-color:#ffbbbb"| 60 || June 9 || @

text: Red Sox

text: || 4–3 ||

text: Papelbon

text: Cordero

text: (5–4) || || 36,133 || 32–28|- style="background-color:#bbffbb"| 61 || June 10 || @

text: Red Sox

text: || 7–4 ||

text: Corey

text: (1–0) ||

text: Tavárez

text: Otsuka

text: (11) || 36,920 || 33–28|- style="background-color:#bbbbbb"| – || June 10 || @

text: Red Sox

text: || colspan=5|Postponed || 33–28|- style="background-color:#ffbbbb"| 62 || June 11 || @

text: Red Sox

text: || 5–4 ||

text: Delcarmen

text: Otsuka

text: (2–2) || || 36,232 || 33–29|- style="background-color:#bbffbb"| 63 || June 11 || @

text: Red Sox

text: || 13–6 ||

text: Wasdin

text: (1–0) ||

text: Pauley

text: || || 35,602 || 34–29|- style="background-color:#ffbbbb"| 64 || June 12 || @

text: White Sox

text: || 8–3 ||

text: Contreras

text: Koronka

text: (4–4) || || 29,182 || 34–30|- style="background-color:#ffbbbb"| 65 || June 13 || @

text: White Sox

text: || 5–2 ||

text: Garland

text: Loe

text: (3–6) ||

text: Jenks

text: || 18,354 || 34–31|- style="background-color:#bbffbb"| 66 || June 14 || @

text: White Sox

text: || 8–0 ||

text: Padilla

text: (6–4) ||

text: Vázquez

text: || || 28,776 || 35–31|- style="background-color:#ffbbbb"| 67 || June 15 || @

text: White Sox

text: || 8–2 ||

text: Buehrle

text: Rheinecker

text: (2–1) || || 19,424 || 35–32|- style="background-color:#bbffbb"| 68 || June 16 ||

text: Diamondbacks

text: || 5–3 ||

text: Millwood

text: (8–3) ||

text: Webb

text: Otsuka

text: (12) || 28,167 || 36–32|- style="background-color:#bbffbb"| 69 || June 17 ||

text: Diamondbacks

text: || 8–4 ||

text: Koronka

text: (5–4) ||

text: Jarvis

text: || || 41,165 || 37–32|- style="background-color:#bbffbb"| 70 || June 18 ||

text: Diamondbacks

text: || 10–7 ||

text: Cordero

text: (6–4) ||

text: Vizcaíno

text: Otsuka

text: (13) || 24,358 || 38–32|- style="background-color:#ffbbbb"| 71 || June 20 ||

text: Padres

text: || 6–5 ||

text: Thompson

text: Feldman

text: (0–1) ||

text: Hoffman

text: || 24,064 || 38–33|- style="background-color:#ffbbbb"| 72 || June 21 ||

text: Padres

text: || 3–2 ||

text: Linebrink

text: Otsuka

text: (2–3) ||

text: Hoffman

text: || 29,047 || 38–34|- style="background-color:#bbffbb"| 73 || June 22 ||

text: Padres

text: || 5–3 ||

text: Rheinecker

text: (3–1) ||

text: Hensley

text: Otsuka

text: (14) || 24,637 || 39–34|- style="background-color:#bbffbb"| 74 || June 23 || @

text: Rockies

text: || 8–6 ||

text: Koronka

text: (6–4) ||

text: Francis

text: Otsuka

text: (15) || 28,360 || 40–34|- style="background-color:#ffbbbb"| 75 || June 24 || @

text: Rockies

text: || 11–6 ||

text: Fogg

text: Tejeda

text: (1–3) || || 31,439 || 40–35|- style="background-color:#ffbbbb"| 76 || June 25 || @

text: Rockies

text: || 3–0 ||

text: Kim

text: Padilla

text: (6–5) ||

text: Fuentes

text: || 28,313 || 40–36|- style="background-color:#ffbbbb"| 77 || June 27 || @

text: Giants

text: || 5–3 ||

text: Morris

text: Millwood

text: (8–4) ||

text: Accardo

text: || 36,053 || 40–37|- style="background-color:#ffbbbb"| 78 || June 28 || @

text: Giants

text: || 5–1 ||

text: Lowry

text: Rheinecker

text: (3–2) || || 37,275 || 40–38|- style="background-color:#ffbbbb"| 79 || June 29 || @

text: Giants

text: || 2–1 ||

text: Sánchez

text: Feldman

text: (0–2) ||

text: Accardo

text: || 38,212 || 40–39|- style="background-color:#bbffbb"| 80 || June 30 ||

text: Astros

text: || 3–1 ||

text: Padilla

text: (7–5) ||

text: Oswalt

text: Otsuka

text: (16) || 40,177 || 41–39|- style="background-color:#ffbbbb"| 81 || July 1 ||

text: Astros

text: || 7–0 ||

text: Buchholz

text: Wasdin

text: (1–1) || || 35,131 || 41–40|- style="background-color:#ffbbbb"| 82 || July 2 ||

text: Astros

text: || 9–5 ||

text: Rodríguez

text: Millwood

text: (8–5) ||

text: Lidge

text: || 39,298 || 41–41|- style="background-color:#bbffbb"| 83 || July 3 ||

text: Blue Jays

text: || 6–1 ||

text: Rheinecker

text: (4–2) ||

text: Lilly

text: || || 30,021 || 42–41|- style="background-color:#ffbbbb"| 84 || July 4 ||

text: Blue Jays

text: || 3–2 ||

text: Halladay

text: Koronka

text: (6–5) ||

text: Ryan

text: || 42,255 || 42–42|- style="background-color:#bbffbb"| 85 || July 5 ||

text: Blue Jays

text: || 9–3 ||

text: Padilla

text: (8–5) ||

text: Janssen

text: Cordero

text: (6) || 25,803 || 43–42|- style="background-color:#bbffbb"| 86 || July 7 ||

text: Twins

text: || 9–4 ||

text: Wasdin

text: (2–1) ||

text: Silva

text: || || 30,207 || 44–42|- style="background-color:#ffbbbb"| 87 || July 8 ||

text: Twins

text: || 4–0 ||

text: Liriano

text: Rheinecker

text: (4–3) || || 36,035 || 44–43|- style="background-color:#bbffbb"| 88 || July 9 ||

text: Twins

text: || 5–2 ||

text: Bauer

text: (3–1) ||

text: Santana

text: Otsuka

text: (17) || 23,268 || 45–43|- style="background-color:#bbffbb"| 89 || July 13 || @

text: Orioles

text: || 15–1 ||

text: Padilla

text: (9–5) ||

text: Cabrera

text: || || 22,780 || 46–43|- style="background-color:#bbffbb"| 90 || July 14 || @

text: Orioles

text: || 2–1 ||

text: Millwood

text: (9–5) ||

text: Benson

text: Otsuka

text: (18) || 28,201 || 47–43|- style="background-color:#ffbbbb"| 91 || July 15 || @

text: Orioles

text: || 8–1 ||

text: Bédard

text: Rheinecker

text: (4–4) || || 35,804 || 47–44|- style="background-color:#ffbbbb"| 92 || July 16 || @

text: Orioles

text: || 4–0 ||

text: López

text: Wasdin

text: (2–2) || || 25,169 || 47–45|- style="background-color:#ffbbbb"| 93 || July 17 || @

text: Blue Jays

text: || 10–1 ||

text: Lilly

text: Koronka

text: (6–6) || || 16,872 || 47–46|- style="background-color:#bbffbb"| 94 || July 18 || @

text: Blue Jays

text: || 5–2 ||

text: Padilla

text: (10–5) ||

text: Schoeneweis

text: Otsuka

text: (19) || 20,017 || 48–46|- style="background-color:#bbffbb"| 95 || July 19 || @

text: Blue Jays

text: || 5–4 ||

text: Millwood

text: (10–5) ||

text: Janssen

text: Otsuka

text: (20) || 20,778 || 49–46|- style="background-color:#ffbbbb"| 96 || July 20 || @

text: Red Sox

text: || 6–4 ||

text: Schilling

text: Corey

text: (1–1) ||

text: Timlin

text: || 36,489 || 49–47|- style="background-color:#bbffbb"| 97 || July 21 || @

text: White Sox

text: || 10–3 ||

text: Mahay

text: (1–1) ||

text: Buehrle

text: Bauer

text: (2) || 38,246 || 50–47|- style="background-color:#bbffbb"| 98 || July 22 || @

text: White Sox

text: || 3–1 ||

text: Cordero

text: (7–4) ||

text: Jenks

text: Otsuka

text: (21) || 39,250 || 51–47|- style="background-color:#ffbbbb"| 99 || July 23 || @

text: White Sox

text: || 5–0 ||

text: Garland

text: Padilla

text: (10–6) || || 38,312 || 51–48|- style="background-color:#ffbbbb"| 100 || July 24 ||

text: Yankees

text: || 6–2 ||

text: Johnson

text: Millwood

text: (10–6) || || 43,206 || 51–49|- style="background-color:#ffbbbb"| 101 || July 25 ||

text: Yankees

text: || 7–4 ||

text: Mussina

text: Eaton

text: (0–1) ||

text: Rivera

text: || 42,171 || 51–50|- style="background-color:#ffbbbb"| 102 || July 26 ||

text: Yankees

text: || 8–7 ||

text: Chacón

text: Otsuka

text: (2–4) ||

text: Rivera

text: || 43,527 || 51–51|- style="background-color:#ffbbbb"| 103 || July 28 ||

text: Royals

text: || 11–3 ||

text: Hudson

text: Padilla

text: (10–7) || || 30,202 || 51–52|- style="background-color:#ffbbbb"| 104 || July 29 ||

text: Royals

text: || 5–3 ||

text: de la Rosa

text: Millwood

text: (10–7) ||

text: Burgos

text: || 42,017 || 51–53|- style="background-color:#bbffbb"| 105 || July 30 ||

text: Royals

text: || 15–2 ||

text: Koronka

text: (7–6) ||

text: Redman

text: || || 29,726 || 52–53|- style="background-color:#ffbbbb"| 106 || July 31 || @

text: Twins

text: || 15–2 ||

text: Silva

text: Rheinecker

text: (4–5) || || 19,532 || 52–54|- style="background-color:#bbffbb"| 107 || August 1 || @

text: Twins

text: || 9–0 ||

text: Eaton

text: (1–1) ||

text: Baker

text: || || 25,969 || 53–54|- style="background-color:#bbffbb"| 108 || August 2 || @

text: Twins

text: || 10–2 ||

text: Wells

text: (1–0) ||

text: Bonser

text: || || 26,492 || 54–54|- style="background-color:#bbffbb"| 109 || August 3 || @

text: Angels

text: || 7–6 ||

text: Littleton

text: (1–0) ||

text: Gregg

text: Otsuka

text: (22) || 43,569 || 55–54|- style="background-color:#bbffbb"| 110 || August 4 || @

text: Angels

text: || 7–3 ||

text: Padilla

text: (11–7) ||

text: Lackey

text: || || 44,074 || 56–54|- style="background-color:#ffbbbb"| 111 || August 5 || @

text: Angels

text: || 10–3 ||

text: Santana

text: Koronka

text: (7–7) || || 43,701 || 56–55|- style="background-color:#ffbbbb"| 112 || August 6 || @

text: Angels

text: || 9–1 ||

text: Saunders

text: Eaton

text: (1–2) || || 43,804 || 56–56|- style="background-color:#ffbbbb"| 113 || August 7 || @

text: Athletics

text: || 7–4 ||

text: Loaiza

text: Vólquez

text: (0–1) ||

text: Calero

text: || 21,208 || 56–57|- style="background-color:#ffbbbb"| 114 || August 8 || @

text: Athletics

text: || 7–6 ||

text: Saarloos

text: Millwood

text: (10–8) ||

text: Street

text: || 21,650 || 56–58|- style="background-color:#bbffbb"| 115 || August 9 || @

text: Athletics

text: || 14–0 ||

text: Padilla

text: (12–7) ||

text: Zito

text: || || 30,127 || 58–57|- style="background-color:#bbffbb"| 116 || August 10 ||

text: Mariners

text: || 8–2 ||

text: Eaton

text: (2–2) ||

text: Piñeiro

text: || || 31,763 || 58–58|- style="background-color:#bbffbb"| 117 || August 11 ||

text: Mariners

text: || 14–7 ||

text: Littleton

text: (2–0) ||

text: Meche

text: || || 28,207 || 59–58|- style="background-color:#bbffbb"| 118 || August 12 ||

text: Mariners

text: || 5–4 ||

text: Vólquez

text: (1–1) ||

text: Moyer

text: Otsuka

text: (23) || 35,784 || 60–58|- style="background-color:#bbffbb"| 119 || August 13 ||

text: Mariners

text: || 10–6 ||

text: Millwood

text: (11–8) ||

text: Hernández

text: || || 29,717 || 61–58|- style="background-color:#ffbbbb"| 120 || August 15 ||

text: Angels

text: || 9–7 ||

text: Carrasco

text: Littleton

text: (2–1) ||

text: Rodríguez

text: || 26,561 || 61–59|- style="background-color:#bbffbb"| 121 || August 16 ||

text: Angels

text: || 9–3 ||

text: Eaton

text: (3–2) ||

text: Saunders

text: || || 31,723 || 62–59|- style="background-color:#ffbbbb"| 122 || August 17 || @

text: Tigers

text: || 4–2 ||

text: Rogers

text: Vólquez

text: (1–2) ||

text: Jones

text: || 34,756 || 62–60|- style="background-color:#bbffbb"| 123 || August 18 || @

text: Tigers

text: || 2–1 ||

text: Millwood

text: (12–8) ||

text: Miner

text: Otsuka

text: (24) || 39,327 || 63–60|- style="background-color:#bbffbb"| 124 || August 19 || @

text: Tigers

text: || 3–1 ||

text: Tejeda

text: (2–3) ||

text: Robertson

text: Otsuka

text: (25) || 41,643 || 64–60|- style="background-color:#bbffbb"| 125 || August 20 || @

text: Tigers

text: || 7–6 ||

text: Benoit

text: (1–1) ||

text: Grilli

text: Otsuka

text: (26) || 39,071 || 65–60|- style="background-color:#ffbbbb"| 126 || August 21 || @

text: Devil Rays

text: || 4–3 ||

text: Shields

text: Eaton

text: (3–2) ||

text: McClung

text: || 7,820 || 65–61|- style="background-color:#ffbbbb"| 127 || August 22 || @

text: Devil Rays

text: || 5–3 ||

text: Camp

text: Padilla

text: (12–8) ||

text: McClung

text: || 8,028 || 65–62|- style="background-color:#ffbbbb"| 128 || August 23 || @

text: Devil Rays

text: || 7–3 ||

text: Camp

text: Millwood

text: (12–9) || || 9,701 || 65–63|- style="background-color:#bbffbb"| 129 || August 24 || @

text: Devil Rays

text: || 4–3 ||

text: Tejeda

text: (3–3) ||

text: Corcoran

text: Otsuka

text: (27) || 9,454 || 66–63|- style="background-color:#ffbbbb"| 130 || August 25 ||

text: Athletics

text: || 9–3 ||

text: Zito

text: Vólquez

text: (1–3) || || 31,178 || 66–64|- style="background-color:#ffbbbb"| 131 || August 26 ||

text: Athletics

text: || 5–3 ||

text: Blanton

text: Eaton

text: (3–4) ||

text: Duchscherer

text: || 37,752 || 66–65|- style="background-color:#bbffbb"| 132 || August 27 ||

text: Athletics

text: || 3–0 ||

text: Padilla

text: (13–8) ||

text: Haren

text: Otsuka

text: (28) || 25,708 || 67–65|- style="background-color:#bbffbb"| 133 || August 29 ||

text: Orioles

text: || 9–4 ||

text: Millwood

text: (13–9) ||

text: López

text: || || 23,684 || 68–65|- style="background-color:#ffbbbb"| 134 || August 30 ||

text: Orioles

text: || 7–4 ||

text: Hawkins

text: Mahay

text: (1–2) || || 23,812 || 68–66|- style="background-color:#bbffbb"| 135 || August 31 ||

text: Orioles

text: || 7–5 ||

text: Eaton

text: (4–4) ||

text: Cabrera

text: Otsuka

text: (29) || 21,446 || 69–66|- style="background-color:#ffbbbb"| 136 || September 1 ||

text: Indians

text: || 7–2 ||

text: Westbrook

text: Padilla

text: (13–9) || || 23,776 || 69–67|- style="background-color:#ffbbbb"| 137 || September 2 ||

text: Indians

text: || 6–5 ||

text: Lee

text: Vólquez

text: (1–4) ||

text: Mastny

text: || 40,222 || 69–68|- style="background-color:#bbffbb"| 138 || September 3 ||

text: Indians

text: || 5–2 ||

text: Millwood

text: (14–9) ||

text: Byrd

text: Otsuka

text: (30) || 19,667 || 70–68|- style="background-color:#bbffbb"| 139 || September 4 || @

text: Athletics

text: || 8–1 ||

text: Tejeda

text: (4–3) ||

text: Zito

text: || || 23,949 || 71–68|- style="background-color:#bbffbb"| 140 || September 5 || @

text: Athletics

text: || 5–4 ||

text: Eaton

text: (5–4) ||

text: Saarloos

text: Otsuka

text: (31) || 27,225 || 72–68|- style="background-color:#ffbbbb"| 141 || September 6 || @

text: Athletics

text: || 9–6 ||

text: Blanton

text: Rupe

text: (0–1) ||

text: Duchscherer

text: || 17,838 || 72–69|- style="background-color:#ffbbbb"| 142 || September 8 || @

text: Mariners

text: || 7–2 ||

text: Baek

text: Millwood

text: (14–10) ||

text: Piñeiro

text: || 28,646 || 72–70|- style="background-color:#ffbbbb"| 143 || September 9 || @

text: Mariners

text: || 3–2 ||

text: Fruto

text: Rheinecker

text: (4–6) || || 33,454 || 72–71|- style="background-color:#bbffbb"| 144 || September 10 || @

text: Mariners

text: || 4–2 ||

text: Wilson

text: (2–2) ||

text: Huber

text: Otsuka

text: (32) || 34,321 || 73–71|- style="background-color:#ffbbbb"| 145 || September 12 || @

text: Tigers

text: || 3–2 ||

text: Rodney

text: Mahay

text: (1–3) || || 24,196 || 73–72|- style="background-color:#bbffbb"| 146 || September 13 || @

text: Tigers

text: || 11–3 ||

text: Millwood

text: (15–10) ||

text: Verlander

text: || || 24,672 || 74–72|- style="background-color:#ffbbbb"| 147 || September 14 ||

text: Angels

text: || 2–1 ||

text: Carrasco

text: Vólquez

text: (1–5) ||

text: Rodríguez

text: || 21,488 || 74–73|- style="background-color:#ffbbbb"| 148 || September 15 ||

text: Angels

text: || 2–1 ||

text: Donnelly

text: Francisco

text: (0–1) || || 30,788 || 74–74|- style="background-color:#bbffbb"| 149 || September 16 ||

text: Angels

text: || 12–6 ||

text: Eaton

text: (6–4) ||

text: Lackey

text: || || 40,196 || 75–74|- style="background-color:#bbffbb"| 150 || September 17 ||

text: Angels

text: || 8–1 ||

text: Padilla

text: (14–9) ||

text: Santana

text: || || 24,303 || 76–74|- style="background-color:#bbffbb"| 151 || September 18 ||

text: Mariners

text: || 8–1 ||

text: Millwood

text: (16–10) ||

text: Hernández

text: || || 18,214 || 77–74|- style="background-color:#ffbbbb"| 152 || September 19 ||

text: Mariners

text: || 9–7 ||

text: Huber

text: Wilson

text: (2–3) ||

text: Putz

text: || 18,551 || 77–75|- style="background-color:#ffbbbb"| 153 || September 20 ||

text: Mariners

text: || 6–3 ||

text: Baek

text: Tejeda

text: (4–4) ||

text: Putz

text: || 26,006 || 77–76|- style="background-color:#bbffbb"| 154 || September 22 ||

text: Indians

text: || 12–4 ||

text: Eaton

text: (7–4) ||

text: Byrd

text: || || 26,284 || 78–76|- style="background-color:#ffbbbb"| 155 || September 23 ||

text: Indians

text: || 6–3 ||

text: Miller

text: Padilla

text: (14–10) ||

text: Betancourt

text: || 38,351 || 78–77|- style="background-color:#ffbbbb"| 156 || September 24 ||

text: Indians

text: || 11–6 ||

text: Westbrook

text: Millwood

text: (16–11) || || 36,617 || 78–78|- style="background-color:#ffbbbb"| 157 || September 25 || @

text: Angels

text: || 8–3 ||

text: Saunders

text: Vólquez

text: (1–6) ||

text: Shields

text: || 39,781 || 78–79|- style="background-color:#bbffbb"| 158 || September 26 || @

text: Angels

text: || 5–2 ||

text: Tejeda

text: (5–4) ||

text: Escobar

text: Littleton

text: (1) || 37,339 || 79–79|- style="background-color:#ffbbbb"| 159 || September 27 || @

text: Angels

text: || 6–5 ||

text: Donnelly

text: Wilson

text: (2–4) ||

text: Rodríguez

text: || 38,032 || 79–80|- style="background-color:#bbffbb"| 160 || September 29 || @

text: Mariners

text: || 6–5 ||

text: Padilla

text: (15–10) ||

text: Fruto

text: Wilson

text: (1) || 30,766 || 80–80|- style="background-color:#ffbbbb"| 161 || September 30 || @

text: Mariners

text: || 3–1 ||

text: Hernández

text: Millwood

text: (16–12) ||

text: Putz

text: || 23,310 || 80–81|- style="background-color:#ffbbbb"| 162 || October 1 || @

text: Mariners

text: || 3–2 ||

text: Woods

text: Tejeda

text: (5–5) ||

text: Putz

text: || 28,361 || 80–82

text: |-| | style="background:#ffcd35;color:#6137ad;"| 24 ||style="background:#ffcd35;color:#6137ad;"| 24 || 29.9 || .464 || .000 || .789 || 5.5 || 1.5 || 0.6 ||style="background:#ffcd35;color:#6137ad;"| 1.5 || 14.1|-| | 15 || 0 || 6.3 || .429 || .000 || .688 || 0.7 || 0.3 || 0.2 || 0.0 || 3.1|-| | style="background:#ffcd35;color:#6137ad;"| 24 || 0 || 24.5 || .412 || .403 || .741 || 2.4 || 2.7 || 0.8 || 0.3 || 6.4|-| | style="background:#ffcd35;color:#6137ad;"| 24 || 18  || 30.3 || .544 || .000 || .753 ||style="background:#ffcd35;color:#6137ad;"| 7.3 || 0.8 || 0.1 || 0.5 || 10.1|-| | style="background:#ffcd35;color:#6137ad;"| 24 ||style="background:#ffcd35;color:#6137ad;"| 24 ||style="background:#ffcd35;color:#6137ad;"| 40.2 || .514 || .500 || .852 || 5.4 ||style="background:#ffcd35;color:#6137ad;"| 12.6 ||style="background:#ffcd35;color:#6137ad;"| 1.4 || 0.1 || 19.9|-| | 10 || 0 || 2.7 || .400 || .000 || .800 || 0.1 || 0.2 || 0.1 || 0.0 || 1.2|-| | 19 || 6 || 9.8 ||style="background:#ffcd35;color:#6137ad;"| .618 || .000 || .692 || 2.7 || 0.4 || 0.2  || 0.1 || 2.7|-| | style="background:#ffcd35;color:#6137ad;"| 24 ||style="background:#ffcd35;color:#6137ad;"| 24 || 37.4 || .499 ||style="background:#ffcd35;color:#6137ad;"| .436 || .865 || 4.2 || 2.5 || 1.4 || 0.2 || 19.6|-| |  8 || 0 || 4.3 || .200 || .000 || .333 || 0.8 || 0.0 || 0.1 || 0.3 || 0.4|-| | style="background:#ffcd35;color:#6137ad;"| 24 || 0 || 25.6 || .513 || .000 || .581 || 7.1 || 0.5 || 0.7 || 0.8 || 9.7|-| | 5 || 0 || 2.8 || .400 || .000 ||style="background:#ffcd35;color:#6137ad;"| 1.000 || 0.4 || 0.6 || 0.0 || 0.2 || 1.2|-| | style="background:#ffcd35;color:#6137ad;"| 24 ||style="background:#ffcd35;color:#6137ad;"| 24 || 37.3 || .523 || .111 || .758 || 5.8 || 4.4 || 1.3 || 0.8 ||style="background:#ffcd35;color:#6137ad;"| 21.1|}

text: A related technique is wavelength division multiple access (WDMA), based on wavelength-division multiplexing (WDM), where different datastreams get different colors in fiber-optical communications. In the WDMA case, different network nodes in a bus or hub network get a different color.

text: A related technique is wavelength division multiple access (WDMA), based on

text: wavelength-division multiplexing

text: (WDM), where different datastreams get different colors in fiber-optical communications. In the WDMA case, different network nodes in a bus or hub network get a different color.

text: Conversely, additive color systems start with darkness. Light sources of various wavelengths are added in various proportions to produce a range of colors. Usually, three primary colors are combined to stimulate humans’ trichromatic color vision, sensed by the three types of cone cells in the eye, giving an apparently full range.

text: Conversely,

text: additive color

text: systems start with darkness. Light sources of various wavelengths are added in various proportions to produce a range of colors. Usually, three

text: primary color

text: s are combined to stimulate humans’

text: trichromatic

text: color vision

text: , sensed by the three types of

text: cone cell

text: s in the eye, giving an apparently full range.

text: The specular highlight often reflects the color of the light source, not the color of the reflecting object. This is because many materials have a thin layer of clear material above the surface of the pigmented material. For example plastic is made up of tiny beads of color suspended in a clear polymer and human skin often has a thin layer of oil or sweat above the pigmented cells. Such materials will show specular highlights in which all parts of the color spectrum are reflected equally. On metallic materials such as gold the color of the specular highlight will reflect the color of the material.

text: season! style="color:#FFFFFF; background-color: #A780F6" | Title! style="color:#FFFFFF; background-color: #A780F6" | Directed by! style="color:#FFFFFF; background-color: #A780F6" | Written by! style="color:#FFFFFF; background-color: #A780F6" | Original air date! style="color:#FFFFFF; background-color: #A780F6" | U.S. viewers

text: {| class="wikitable"|-!colspan="1"|! Year of election! MLA! Political Party|-|style="background-color: " || 1967 | Narala Saikiran| Indian National Congress|-|style="background-color: " || 1972| Narala Saikiran| Indian National Congress|-|style="background-color: " || 1978 | P. Janardhan Reddy|Indian National Congress|-|style="background-color: " || 1983 | M. Ramchander Rao| Independent|-|style="background-color: " || 1985 | P. Janardhan Reddy|Indian National Congress|-|style="background-color: " || 1989  | P. Janardhan Reddy| Indian National Congress|-|style="background-color: " || 1994 | P. Janardhan Reddy| Indian National Congress|-|style="background-color: " || 1999 | K. Vijaya Rama Rao| Telugu Desam Party|-|style="background-color: " || 2004| P. Janardhan Reddy | Indian National Congress|-|style="background-color: " || 2008 (By Polls) |P. Vishnuvardhan Reddy| Indian National Congress|-|style="background-color: " || 2009 |Danam Nagender| Indian National Congress|-|style="background-color: " || 2014-Incumbent| C. Ramachandra Reddy| Bharatiya Janata Party|-

text: {| class="wikitable"|-!colspan="1"|! Year of election! MLA! Political Party|-|style="background-color: " || 1967 | Narala Saikiran|

text: Indian National Congress

text: |-|style="background-color: " || 1972| Narala Saikiran|

text: Indian National Congress

text: |-|style="background-color: " || 1978 |

text: P. Janardhan Reddy

text: Indian National Congress

text: |-|style="background-color: " || 1983 | M. Ramchander Rao|

text: Independent

text: |-|style="background-color: " || 1985 |

text: P. Janardhan Reddy

text: Indian National Congress

text: |-|style="background-color: " || 1989  |

text: P. Janardhan Reddy

text: Indian National Congress

text: |-|style="background-color: " || 1994 |

text: P. Janardhan Reddy

text: Indian National Congress

text: |-|style="background-color: " || 1999 | K. Vijaya Rama Rao|

text: Telugu Desam Party

text: |-|style="background-color: " || 2004|

text: P. Janardhan Reddy

text: Indian National Congress

text: |-|style="background-color: " || 2008 (By Polls) |

text: P. Vishnuvardhan Reddy

text: Indian National Congress

text: |-|style="background-color: " || 2009 |

text: Danam Nagender

text: Indian National Congress

text: |-|style="background-color: " || 2014-Incumbent|

text: C. Ramachandra Reddy

text: Bharatiya Janata Party

text: The first way that hot roots can occur involves two separate color applications.  Once permanent hair color is applied and subsequent hair growth occurs, the roots of the affected hair can, and usually do, exhibit a noticeably different color from the ends.  To equalize the color of the roots and the ends, another artificial color can be applied to this new growth.  This is what is called a "color touch-up."  If this touch-up color is lighter and/or warmer than the original color applied, the roots can appear warmer, creating hot roots.  This will happen even if the touch-up color is applied from root to end because, as mentioned above, the newly applied artificial color will not lighten the artificial color already present on the ends, as it does the natural color at the roots.

text: This color was the color called lavender in Crayola crayons before 1958, when Crayola switched to calling the color shown above as lavender pink as being lavender. See the website "Lost Crayola Crayon Colors". Because of that, another name for this color is lavender purple.

text: Isolated quarks and antiquarks have never been detected, a fact explained by confinement. Every quark carries one of three color charges of the strong interaction; antiquarks similarly carry anticolor. Color-charged particles interact via gluon exchange in the same way that charged particles interact via photon exchange. However, gluons are themselves color-charged, resulting in an amplification of the strong force as color-charged particles are separated. Unlike the electromagnetic force, which diminishes as charged particles separate, color-charged particles feel increasing force.

text: Isolated quarks and antiquarks have never been detected, a fact explained by

text: confinement

text: . Every quark carries one of three

text: color charge

text: s of the

text: strong interaction

text: ; antiquarks similarly carry anticolor. Color-charged particles interact via

text: gluon

text: exchange in the same way that charged particles interact via

text: photon

text: exchange. However, gluons are themselves color-charged, resulting in an amplification of the strong force as color-charged particles are separated. Unlike the

text: electromagnetic force

text: , which diminishes as charged particles separate, color-charged particles feel increasing force.

text: Light indigo (web color indigo) represents the way the color indigo was always reproduced in pigments, paints, or colored pencils in the 1950s. By the 1970s, because of the advent of psychedelic art, artists became used to brighter pigments, and pigments called "bright indigo" or "bright blue-violet" that are the pigment equivalent of the electric indigo reproduced in the section above became available in artists' pigments and colored pencils.

text: Light indigo (web color indigo) represents the way the color indigo was always reproduced in pigments, paints, or colored

text: pencil

text: s in the 1950s. By the 1970s, because of the advent of

text: psychedelic art

text: , artists became used to brighter pigments, and pigments called "bright indigo" or "bright blue-violet" that are the pigment equivalent of the electric indigo reproduced in the section above became available in artists' pigments and colored pencils.

text: In principle, any type of still background can be used as a chroma key instead of a solid color. First the background is captured without actors or other foreground elements; then the scene is recorded. The image of the background is used to cancel the background in the actual footage; for example in a digital image, each pixel will have a different chroma key. This is sometimes referred to as a difference matte. However, this makes it easy for objects to be accidentally removed if they happen to be similar to the background, or for the background to remain due to camera noise or if it happens to change slightly from the reference footage. A background with a repeating pattern alleviates many of these issues, and can be less sensitive to wardrobe color than solid-color backdrops.

text: The ability of the human eye to distinguish colors is based upon the varying sensitivity of different cells in the retina to light of different wavelengths. Humans being trichromatic, the retina contains three types of color receptor cells, or cones. One type, relatively distinct from the other two, is most responsive to light that is perceived as blue or blue-violet, with wavelengths around 450 nm; cones of this type are sometimes called short-wavelength cones, S cones, or blue cones. The other two types are closely related genetically and chemically: middle-wavelength cones, M cones, or green cones are most sensitive to light perceived as green, with wavelengths around 540 nm, while the long-wavelength cones, L cones, or red cones, are most sensitive to light is perceived as greenish yellow, with wavelengths around 570  nm.

text: The ability of the

text: human eye

text: to distinguish colors is based upon the varying sensitivity of different cells in the

text: retina

text: to light of different

text: wavelengths

text: . Humans being

text: trichromatic

text: , the retina contains three types of color receptor cells, or

text: cones

text: . One type, relatively distinct from the other two, is most responsive to light that is perceived as blue or blue-violet, with wavelengths around 450

text: nm

text: ; cones of this type are sometimes called short-wavelength cones, S cones, or blue cones. The other two types are closely related genetically and chemically: middle-wavelength cones, M cones, or green cones are most sensitive to light perceived as green, with wavelengths around 540 nm, while the long-wavelength cones, L cones, or red cones, are most sensitive to light is perceived as greenish yellow, with wavelengths around 570  nm.

text: Color correction by using color gels, or filters, is a process used in stage lighting, photography, television, cinematography and other disciplines, the intention of which is to alter the overall color of the light; typically the light color is measured on a scale known as color temperature, as well as along a green–magenta axis orthogonal to the color temperature axis.

text: Color correction by using

text: color gel

text: s, or filters, is a process used in

text: stage lighting

text: photography

text: television

text: cinematography

text: and other disciplines, the intention of which is to alter the overall color of the light; typically the light color is measured on a scale known as

text: color temperature

text: , as well as along a

text: green

text: magenta

text: axis orthogonal to the color temperature axis.

text: The three subspecies of Callicebus personatus are products of clinical differentiation (when certain portions of the population are cut off from the parental stock due to an ecological barrier such as a river and are thus completely genetically isolated from one another). Distinctions between each of the Callicebus subspecies are based on coat color. The evolution of these coat colors is termed metachromism. The pigments are produced by melanocytes which deposit the pigments into the medulla of growing hair so that the hair grows with the color of that distinct pigment. The characteristic pigment of the Callicebus is eumelanin (dark brown or black) found in the iris, skin, and hair (usually on the forehead, crown and tail).

text: The three subspecies of Callicebus personatus are products of clinical differentiation (when certain portions of the population are cut off from the parental stock due to an ecological barrier such as a river and are thus completely genetically isolated from one another). Distinctions between each of the Callicebus subspecies are based on coat color. The evolution of these coat colors is termed metachromism. The pigments are produced by

text: melanocyte

text: s which deposit the pigments into the

text: medulla

text: of growing hair so that the hair grows with the color of that distinct pigment. The characteristic pigment of the Callicebus is

text: eumelanin

text: (dark brown or black) found in the iris, skin, and hair (usually on the forehead, crown and tail).

text: Colors are assigned in the same way as in 4-bit indexed color graphic modes (see VGA color palette).VGA modes have no need for the MDA's reverse and bright attributes because foreground and background colors can be set explicitly

text: Colors are assigned in the same way as in 4-bit indexed color graphic modes (see

text: VGA color palette

text: ).VGA modes have no need for the MDA's reverse and bright attributes because foreground and background colors can be set explicitly

text: Vertebrate animals were primitively tetrachromatic. They possessed four types of cones—long, mid, short wavelength cones, and ultraviolet sensitive cones.  Today, fish, reptiles and birds are all tetrachromatic. Placental mammals lost both the mid and short wavelength cones. Thus, most mammals do not have complex color vision—they are dichromatic but they are sensitive to ultraviolet light, though they cannot see its colors. Human trichromatic color vision is a recent evolutionary novelty that first evolved in the common ancestor of the Old World Primates. Our trichromatic color vision evolved by duplication of the long wavelength sensitive opsin, found on the X chromosome. One of these copies evolved to be sensitive to green light and constitutes our mid wavelength opsin. At the same time, our short wavelength opsin evolved from the ultraviolet opsin of our vertebrate and mammalian ancestors.

text: Vertebrate animals were primitively

text: tetrachromatic

text: . They possessed four types of cones—long, mid, short wavelength cones, and ultraviolet sensitive cones.  Today, fish, reptiles and birds are all tetrachromatic. Placental mammals lost both the mid and short wavelength cones. Thus, most mammals do not have complex color vision—they are

text: dichromatic

text: but they are sensitive to ultraviolet light, though they cannot see its colors. Human trichromatic color vision is a recent evolutionary novelty that first evolved in the common ancestor of the Old World Primates. Our trichromatic color vision evolved by duplication of the long wavelength sensitive

text: opsin

text: , found on the X chromosome. One of these copies evolved to be sensitive to green light and constitutes our mid wavelength opsin. At the same time, our short wavelength opsin evolved from the ultraviolet opsin of our vertebrate and mammalian ancestors.

text: Human color vision is in fact more complicated than suggested by the explanation above, and in particular the perceived color of an object depends not only on the light it emits, but also on the colors of nearby objects. For example, a blue object close to a red object may appear somewhat greenish; this effect accounts for many apparently green stars.

text: In the language of optics, yellow is the evoked by light that stimulates both the L and M (long and medium wavelength) cone cells of the retina about equally, with no significant stimulation of the S (short-wavelength) cone cells. Light with a wavelength of 570–590 nm is yellow, as is light with a suitable mixture of red and green. Yellow's traditional RYB complementary color is purple, violet, or indigo, while its colorimetrically defined complementary color in both RGB and CMYK color spaces is blue.

text: In the language of

text: optics

text: , yellow is the evoked by light that stimulates both the L and M (long and medium wavelength)

text: cone cell

text: s of the

text: retina

text: about equally, with no significant stimulation of the S (short-wavelength) cone cells. Light with a wavelength of 570–590

text: nm

text: is yellow, as is light with a suitable mixture of red and green. Yellow's traditional

text: RYB

text: complementary color

text: is purple, violet, or

text: indigo

text: , while its colorimetrically defined complementary color in both

text: RGB

text: and

text: CMYK

text: color spaces is blue.

text: The question hinges on whether color is a product of the mind or an inherent property of objects. While most philosophers will agree that color assignment corresponds to spectra of light frequencies, it is not at all clear whether the particular psychological phenomena of color are imposed on these visual signals by the mind, or whether such qualia are somehow naturally associated with their noumena. Another way to look at this question is to assume two people ("Fred" and "George" for the sake of convenience) see colors differently. That is, when Fred sees the sky, his mind interprets this light signal as blue. He calls the sky "blue." However, when George sees the sky, his mind assigns green to that light frequency. If Fred were able to step into George's mind, he would be amazed that George saw green skies. However, George has learned to associate the word "blue" with what his mind sees as green, and so he calls the sky "blue", because for him the color green has the name "blue." The question is whether blue must be blue for all people, or whether the perception of that particular color is assigned by the mind.

text: The question hinges on whether

text: color

text: is a product of the mind or an inherent property of objects. While most philosophers will agree that color assignment corresponds to spectra of light

text: frequencies

text: , it is not at all clear whether the particular psychological phenomena of color are imposed on these visual signals by the mind, or whether such

text: qualia

text: are somehow naturally associated with their

text: noumena

text: . Another way to look at this question is to assume two people ("Fred" and "George" for the sake of convenience) see colors differently. That is, when Fred sees the sky, his mind interprets this light signal as blue. He calls the sky "blue." However, when George sees the sky, his mind assigns green to that light frequency. If Fred were able to step into George's mind, he would be amazed that George saw green skies. However, George has learned to associate the word "blue" with what his mind sees as green, and so he calls the sky "blue", because for him the color green has the name "blue." The question is whether blue must be blue for all people, or whether the

text: perception

text: of that particular color is assigned by the mind.

text: This provides two superficially opposite but actually complementary descriptions of black. Black is the absorption of all colors of light, or an exhaustive combination of multiple colors of pigment. See also primary colors.

text: This provides two superficially opposite but actually complementary descriptions of black. Black is the absorption of all colors of light, or an exhaustive combination of multiple colors of pigment. See also

text: primary colors

text: The ChromaFlair pigment is available in thousands of color variations. It is usually applied to items where visual appeal is important — such as motor vehicles, electric guitars and computer case mods.

text: The ChromaFlair pigment is available in thousands of color variations. It is usually applied to items where visual appeal is important — such as

text: motor vehicles

text: electric guitar

text: s and computer

text: case mod

text: s.

text: |colspan="3" style="background-color:#FF99FF"|Northern Region|-|colspan="3" style="background-color:#99CCCC"|3 April 2012|-|colspan="3" style="background-color:#99CCCC"|4 April 2012|-|colspan="3" style="background-color:#FF99FF"|North Eastern Region|-|colspan="3" style="background-color:#99CCCC"|3 April 2012|-|colspan="3" style="background-color:#99CCCC"|4 April 2012|-|colspan="3" style="background-color:#FF99FF"|Bangkok & field Region|-|colspan="3" style="background-color:#99CCCC"|3 April 2012|-|colspan="3" style="background-color:#99CCCC"|4 April 2012|-|-|colspan="3" style="background-color:#FF99FF"|Central & Eastern Region|-|colspan="3" style="background-color:#99CCCC"|4 April 2012|-|-|colspan="3" style="background-color:#99CCCC"|6 April 2012|-|-|colspan="3" style="background-color:#FF99FF"|Southern Region|-|colspan="3" style="background-color:#99CCCC"|3 April 2012|}

text: A coloring using at most k colors is called a (proper)  k-coloring.The smallest number of colors needed to color a graph G is called its chromatic number, and is often denoted χ(G).  Sometimes γ(G) is used, since χ(G) is also used to denote the Euler characteristic of a graph.A graph that can be assigned a (proper) k-coloring is  k-colorable, and it is  k-chromatic if its chromatic number is exactly k.A subset of vertices assigned to the same color is called a color class, every such class forms an independent set. Thus, a k-coloring is the same as a partition of the vertex set into k independent sets, and the terms k-partite and k-colorable have the same meaning.

text: A coloring using at most k colors is called a (proper)  k-coloring.The smallest number of colors needed to color a graph G is called its chromatic number, and is often denoted χ(G).  Sometimes γ(G) is used, since χ(G) is also used to denote the

text: Euler characteristic

text: of a graph.A graph that can be assigned a (proper) k-coloring is  k-colorable, and it is  k-chromatic if its chromatic number is exactly k.A subset of vertices assigned to the same color is called a color class, every such class forms an

text: independent set

text: . Thus, a k-coloring is the same as a partition of the vertex set into k independent sets, and the terms k-partite and k-colorable have the same meaning.

text: A color space is a specific organization of colors. In combination with physical device profiling, it allows for reproducible representations of color, in both analog and digital representations. A color space may be arbitrary, with particular colors assigned to a set of physical color swatches and corresponding assigned names or numbers such as with the Pantone collection, or structured mathematically, as with NCS System, Adobe RGB or sRGB. A color model is an abstract mathematical model describing the way colors can be represented as tuples of numbers (e.g. triples in RGB or quadruples in CMYK); however, a color model with no associated mapping function to an absolute color space is a more or less arbitrary color system with no connection to any globally understood system of color interpretation. Adding a specific mapping function between a color model and a reference color space establishes within the reference color space a definite "footprint", known as a gamut, and for a given color model this defines a color space. For example, Adobe RGB and sRGB are two different absolute color spaces, both based on the RGB color model. When defining a color space, the usual reference standard is the CIELAB or CIEXYZ color spaces, which were specifically designed to encompass all colors the average human can see.

text: A color space is a specific organization of

text: color

text: s. In combination with physical device profiling, it allows for reproducible representations of color, in both

text: analog

text: and

text: digital

text: representations. A color space may be arbitrary, with particular colors assigned to a set of physical

text: color swatches

text: and corresponding assigned names or numbers such as with the

text: Pantone

text: collection, or structured mathematically, as with

text: NCS System

text: Adobe RGB

text: or

text: sRGB

text: . A

text: color model

text: is an abstract mathematical model describing the way colors can be represented as

text: tuple

text: s of numbers (e.g. triples in

text: RGB

text: or quadruples in

text: CMYK

text: ); however, a color model with no associated mapping function to an

text: absolute color space

text: is a more or less arbitrary color system with no connection to any globally understood system of color interpretation. Adding a specific mapping function between a color model and a reference color space establishes within the reference color space a definite "footprint", known as a

text: gamut

text: , and for a given color model this defines a color space. For example, Adobe RGB and sRGB are two different absolute color spaces, both based on the RGB color model. When defining a color space, the usual reference standard is the

text: CIELAB

text: or

text: CIEXYZ

text: color spaces, which were specifically designed to encompass all colors the average human can see.

text: The conceptual act model of emotion posits that the experience of emotion is analogous to the experience of color. People experience colors as discrete categories: blue, red, yellow, and so on. The physics of color, however, is actually continuous, with wavelengths measured in nanometers along a scale from ultraviolet to infrared. When a person experiences an object as "blue", she is using her knowledge of color to give this wavelength a label. And in fact, people experience a whole range of wavelengths as "blue".

text: Color words in a language can also be divided into abstract color words and descriptive color words, though the distinction is blurry in many cases. Abstract color words are words that only refer to a color. In English white, black, red, yellow, green, blue, brown, and gray are abstract color words. These words also happen to be 'basic color terms' in English as described above, but colors like maroon and magenta are also abstract though they may not be considered 'basic color terms', either because they are considered by native speakers to be too rare, too specific, or subordinate hues of more basic colors (red in the case of maroon, or purple in the case of magenta).

text: Color words in a language can also be divided into abstract color words and descriptive color words, though the distinction is blurry in many cases. Abstract color words are words that only refer to a color. In English white, black, red, yellow, green, blue, brown, and gray are abstract color words. These words also happen to be 'basic color terms' in English as described above, but colors like

text: maroon

text: and

text: magenta

text: are also abstract though they may not be considered 'basic color terms', either because they are considered by native speakers to be too rare, too specific, or subordinate hues of more basic colors (red in the case of maroon, or purple in the case of magenta).

text: In the visible light, the object appears to have a neutral or slightly red color.

text: In the

text: visible light

text: , the object appears to have a neutral or slightly red color.

text: Optical system. In many examples of 3D optical data storage systems, several wavelengths (colors) of light are used (e.g. reading laser, writing laser, signal; sometimes even two lasers are required just for writing). Therefore, as well as coping with the high laser power and variable spherical aberration, the optical system must combine and separate these different colors of light as required.

text: Primates can distinguish the full range of the colors of the spectrum visible to humans, but many kinds of mammals, such as dogs and cattle, have dichromacy, which means they can see blues and yellows, but cannot distinguish red and green (both are seen as gray). Bulls, for instance, cannot see the red color of the cape of a bullfighter, but they are agitated by its movement. (See color vision).

text: Primates

text: can distinguish the full range of the colors of the spectrum visible to humans, but many kinds of mammals, such as dogs and cattle, have

text: dichromacy

text: , which means they can see blues and yellows, but cannot distinguish red and green (both are seen as gray). Bulls, for instance, cannot see the red color of the cape of a bullfighter, but they are agitated by its movement. (See

text: color vision

text: Impossible colors or forbidden colors are supposed colors that cannot be perceived in normal seeing of light that is a combination of various intensities of the various frequencies of visible light, but are reported to be seen in special circumstances.

text: Colorist Steve Oliff and his company Olyoptics were one of the first to use computers to do color separations. Although other companies at the time were experimenting with computers, Oliff and his crew were the first to blend the color guide artist with the separator. In 1987, the Japanese manga Akira was in preparation to be translated and published by Marvel Comics's Epic Comics line. Oliff was chosen as the colorist, and he convinced Marvel that it was time to try computer color. After the publication of Akira in 1988, computer coloring became increasingly prevalent in the comics industry.

text: Colorist

text: Steve Oliff

text: and his company

text: Olyoptics

text: were one of the first to use computers to do color separations. Although other companies at the time were experimenting with computers, Oliff and his crew were the first to blend the color guide artist with the separator. In 1987, the Japanese

text: manga

text: Akira

text: was in preparation to be translated and published by

text: Marvel Comics

text: 's

text: Epic Comics

text: line. Oliff was chosen as the colorist, and he convinced Marvel that it was time to try computer color. After the publication of Akira in 1988, computer coloring became increasingly prevalent in the comics industry.

text: "Neon" references a neon tube and the bright colors that appear within one. "Color spreading" references how the colors seem to spread out from the center of the colored portion of the object.

text: "Neon" references a

text: neon tube

text: and the bright colors that appear within one. "Color spreading" references how the colors seem to spread out from the center of the colored portion of the object.

text: Color printing or colour printing is the reproduction of an image or text in color (as opposed to simpler black and white  or monochrome printing). Any natural scene or color photograph can be optically and physiologically dissected into three primary colors, red, green and blue, roughly equal amounts of which give rise to the perception of white, and different proportions of which give rise to the visual sensations of all other colors.  The additive combination of any two primary colors in roughly equal proportion gives rise to the perception of a secondary color. For example, red and green yields yellow, red and blue yields magenta (a purple hue), and green and blue yield cyan (a turquoise hue).  Only yellow is counter-intuitive.Yellow, cyan and magenta are merely the "basic" secondary colors: unequal mixtures of the primaries give rise to perception of many other colors all of which may be considered "tertiary."

text: Color printing or colour printing is the reproduction of an image or text in color (as opposed to simpler black and white  or

text: monochrome

text: printing). Any natural scene or color photograph can be optically and physiologically dissected into three

text: primary color

text: s, red, green and blue, roughly equal amounts of which give rise to the perception of white, and different proportions of which give rise to the visual sensations of all other colors.  The additive combination of any two primary colors in roughly equal proportion gives rise to the perception of a

text: secondary color

text: . For example, red and green yields yellow, red and blue yields

text: magenta

text: (a purple hue), and green and blue yield

text: cyan

text: (a turquoise hue).  Only yellow is counter-intuitive.Yellow, cyan and magenta are merely the "basic" secondary colors: unequal mixtures of the primaries give rise to perception of many other colors all of which may be considered "

text: tertiary

text: The first paper documenting dispersion effects seen through the microscope was written in 1872 by O. Maschke in Germany.  This paper discussed the occurrence of colored Becke` lines when a particle was in a liquid of matching refractive index.  Prior to this paper these colors were thought to be the result of the microscope lenses (chromatic aberration) and not the result of the slide mounted subject and the medium in which it was mounted.  In 1884 and 1895 Christian Christiansen published his data on the first analytical application of dispersion colors, the Christiansen filter.  He found that by placing a colorless transparent powder into a vial of a colorless organic liquid he could create monochromatic light from white light if the liquid and powder had the same refractive index for just that wavelength.  Only that wavelength would see an optically homogeneous media and pass directly through the vial.  The other wavelengths would be scattered in all directions by the particles in the liquid.  Monochromatic light could be viewed by looking through the vial along the path of the direct beam of light.  At any other angle the complementary color of that wavelength would be observed.  If he chose a liquid that matched the refractive index of the powder in the far red, 700 nanometers wavelength, he could create any other wavelength by heating the vial, thereby changing the wavelength at which the powder and liquid’s refractive index matched.  This technique did not work for any powder or liquid.  For optimal effects the powder and the liquid had to be carefully selected so that the intersection of their dispersion curves created as large an angle as possible over the full range of visible wavelengths.  Christiansen’s interest was in the creation of monochromatic filters and not the development of an analytical technique.  It wasn’t until 1911 that the analytical potential of dispersion effects was reported by F. E. Wright.  He observed that the colored Becke` lines noted by Maschke could be used to distinguish between two materials with the same refractive index but different dispersion curves.  The colors could also indicate the region of the visible light spectrum for which a particle and liquid it was mounted in had a refractive index match.  Wright also noted that by using oblique transmitted illumination the particle would show these colors without having to inspect the Becke` line.

text: The first paper documenting dispersion effects seen through the microscope was written in 1872 by O. Maschke in Germany.  This paper discussed the occurrence of colored Becke` lines when a particle was in a liquid of matching refractive index.  Prior to this paper these colors were thought to be the result of the microscope lenses (chromatic aberration) and not the result of the slide mounted subject and the medium in which it was mounted.  In 1884 and 1895

text: Christian Christiansen

text: published his data on the first analytical application of dispersion colors, the

text: Christiansen filter

text: .  He found that by placing a colorless transparent powder into a vial of a colorless organic liquid he could create

text: monochromatic light

text: from white light if the liquid and powder had the same refractive index for just that wavelength.  Only that wavelength would see an optically homogeneous media and pass directly through the vial.  The other wavelengths would be scattered in all directions by the particles in the liquid.  Monochromatic light could be viewed by looking through the vial along the path of the direct beam of light.  At any other angle the complementary color of that wavelength would be observed.  If he chose a liquid that matched the refractive index of the powder in the far red, 700 nanometers wavelength, he could create any other wavelength by heating the vial, thereby changing the wavelength at which the powder and liquid’s refractive index matched.  This technique did not work for any powder or liquid.  For optimal effects the powder and the liquid had to be carefully selected so that the intersection of their dispersion curves created as large an angle as possible over the full range of

text: visible wavelength

text: s.  Christiansen’s interest was in the creation of monochromatic filters and not the development of an analytical technique.  It wasn’t until 1911 that the analytical potential of dispersion effects was reported by F. E. Wright.  He observed that the colored Becke` lines noted by Maschke could be used to distinguish between two materials with the same refractive index but different dispersion curves.  The colors could also indicate the region of the visible light spectrum for which a particle and liquid it was mounted in had a refractive index match.  Wright also noted that by using oblique transmitted illumination the particle would show these colors without having to inspect the Becke` line.

text: In Hebrew, the word "כחול" (pronounced ) means blue, while "ירוק" (pronounced ) means green and has the same root, י־ר־ק (j-r-q), as the word for vegetables (ירקות, ). However, in classical Hebrew, ירוק can mean both green and yellow, giving rise to such expressions as ירוק כרתי, "leek green", to specify green to the exclusion of yellow. Like Russian and Italian, Hebrew has a separate name for light blue (תכלת, "t'khelet")—the color of the sky and of fringes on the ritual garment Tzitzit. This color has special symbolic significance in Judaism and Jewish culture.

text: In Hebrew, the word "כחול" (pronounced ) means blue, while "ירוק" (pronounced ) means green and has the same

text: root

text: , י־ר־ק (j-r-q), as the word for vegetables (ירקות, ). However, in classical Hebrew, ירוק can mean both green and yellow, giving rise to such expressions as ירוק כרתי, "leek green", to specify green to the exclusion of yellow. Like Russian and Italian, Hebrew has a separate name for light blue (תכלת, "

text: t'khelet

text: ")—the color of the sky and of fringes on the ritual garment

text: Tzitzit

text: . This color has

text: special symbolic significance

text: in

text: Judaism

text: and Jewish culture.

text: Green fluorescent signs can be seen better in dark conditions than other colors, as the human rod cell is more sensitive to these wavelengths.

text: Green fluorescent signs can be seen better in dark conditions than other colors, as the human

text: rod cell

text: is more sensitive to these wavelengths.

text: Further research into the relationship between color histogram data to the physical properties of the objects in an image has shown they can represent not only object color and illumination but relate to surface roughness and image geometry and provide an improved estimate of illumination and object color.

text: Migmatites often appear as tightly, incoherently folded (ptygmatic folds) dikelets, veins and segregations of light-colored granitic composition called leucosome, within dark-colored amphibole and biotite rich material called the melanosome. If present, the mesosome, intermediate in color between a leucosome and melanosome, is mostly a more or less unmodified remnant of the original parent rock (protolith). The light-colored material has the appearance of having been mobilized or molten.

text: Migmatites often appear as tightly, incoherently folded (

text: ptygmatic folds

text: dikelets

text: , veins and segregations of light-colored

text: granitic

text: composition called leucosome, within dark-colored

text: amphibole

text: and

text: biotite

text: rich material called the

text: melanosome

text: . If present, the mesosome, intermediate in color between a leucosome and melanosome, is mostly a more or less unmodified remnant of the original parent rock (

text: protolith

text: ). The light-colored material has the appearance of having been mobilized or molten.

text: Skin is opaque to light. In physics light reception, heat or other type of radiant energy on the part of molecules is called absorption. When tissues are illuminated during translumination, some light is absorbed and some reflected. It is known that an object which absorbs all radiation is seen as black; the pigments that give color to the skin and the other tissues, absorb certain wavelengths of white light and transmit radiant energy. This is an aspect of color as captured by our vision. The mechanism by which certain substances absorb more light than others apparently depends on their molecular structure. Light, when reaching more pigmented areas, disperses and reflects more easily; the refraction index is smaller, and it is difficult for white light to penetrate below the skin. Studies of the distribution of elastin and collagen fibers in patients with dermal lesions need to be analyzed for changes. A study of tissue consistency using translumination and  dermatoscopy could supply important data complementing the diagnosis of some collagen diseases and study tissue aging. Skin color affects the effectiveness of translumination; individuals with light skin have better venous visualization during the translumination than those with darker skin.

text: Skin is opaque to light. In physics light reception, heat or other type of radiant energy on the part of molecules is called absorption. When tissues are illuminated during translumination, some light is absorbed and some reflected. It is known that an object which absorbs all radiation is seen as black; the

text: pigments

text: that give color to the skin and the other tissues, absorb certain wavelengths of white light and transmit radiant

text: energy

text: . This is an aspect of color as captured by our

text: vision

text: . The mechanism by which certain substances absorb more light than others apparently depends on their

text: molecular

text: structure. Light, when reaching more pigmented areas, disperses and reflects more easily; the refraction index is smaller, and it is difficult for white light to penetrate below the skin. Studies of the distribution of

text: elastin

text: and collagen fibers in patients with dermal lesions need to be analyzed for changes. A study of tissue consistency using translumination and

text: dermatoscopy

text: could supply important data complementing the diagnosis of some

text: collagen diseases

text: and study tissue aging. Skin color affects the effectiveness of translumination; individuals with light skin have better venous visualization during the translumination than those with darker skin.

text: Coat color alleles affect melanin, the pigment or coloring of the coat. There are two chemically distinct types of melanin: pheomelanin, which is perceived as red to yellow color, and eumelanin, is perceived as brown to black. All coloration genes in mammals affect either the production or distribution of these two chemicals. Alleles affecting melanocytes (pigment cells) do not alter the pigment chemicals themselves but rather by acting on the placement of pigment cells produce distinct patterns of unpigmented pink skin and corresponding white hair.

text: Coat color alleles affect

text: melanin

text: , the pigment or coloring of the coat. There are two chemically distinct types of melanin:

text: pheomelanin

text: , which is perceived as red to yellow color, and

text: eumelanin

text: , is perceived as brown to black. All coloration genes in

text: mammal

text: s affect either the production or distribution of these two chemicals. Alleles affecting

text: melanocyte

text: s (pigment cells) do not alter the pigment chemicals themselves but rather by acting on the placement of pigment cells produce distinct patterns of unpigmented pink skin and corresponding white hair.

text: Wratten is also credited with introducing the noodling process for pre-washed gelatin emulsion in 1878, which substantially increases the surface area of the emulsion and thus the efficiency of the process. This allowed creating more sensitive photographic plates than previously possible. In 1906 Wratten incorporated his company with his son, S. H. Wratten, and C. E. Kenneth Mees as owners. Mees, a recent graduate of London University, was placed in charge of new product development, and soon introduced panchromatic plates sensitive to longer wavelengths. To allow photography using particular wavelengths of light, Mees developed dyed gelatin filters which were placed between the plate or lens and the subject matter. These colored filters, later known as Wratten filters, began with yellow filters dyed with tartrazine ([[CAS registry number|CAS #]] 1934-21-0), but were soon available in many more colors. George Eastman purchased Wratten and Wainwright in 1912, to be merged with Kodak Ltd.. Frederick and S. H. Wratten continued working at Kodak's branch in Harrow, while Mees moved to Rochester, New York to found Eastman Kodak's Research Laboratories.

text: Wratten is also credited with introducing the noodling process for pre-washed gelatin emulsion in 1878, which substantially increases the surface area of the emulsion and thus the efficiency of the process. This allowed creating more sensitive photographic plates than previously possible. In 1906 Wratten incorporated his company with his son, S. H. Wratten, and

text: C. E. Kenneth Mees

text: as owners. Mees, a recent graduate of

text: London University

text: , was placed in charge of new product development, and soon introduced

text: panchromatic

text: plates sensitive to longer wavelengths. To allow photography using particular wavelengths of light, Mees developed dyed gelatin

text: filters

text: which were placed between the plate or lens and the subject matter. These colored filters, later known as

text: Wratten filter

text: s, began with yellow filters dyed with

text: tartrazine

text: ([[CAS registry number|CAS #]] 1934-21-0), but were soon available in many more colors.

text: George Eastman

text: purchased Wratten and Wainwright in 1912, to be merged with

text: Kodak Ltd.

text: . Frederick and S. H. Wratten continued working at Kodak's branch in

text: Harrow

text: , while Mees moved to

text: Rochester, New York

text: to found

text: Eastman Kodak

text: 's Research Laboratories.

text: Another form of “artificial skin” has been created out of flexible semiconductor materials that can sense touch for those with prosthetic limbs.  The artificial skin is anticipated to augment robotics in conducting rudimentary jobs that would be considered delicate and require sensitive “touch”. Scientists found that by applying a layer of rubber with two parallel electrodes that stored electrical charges inside of the artificial skin, tiny amounts of pressure could be detected. When pressure is exerted, the electrical charge in the rubber is changed and the change is detected by the electrodes.  However, the film is so small that when pressure is applied to the skin, the molecules have nowhere to move and become entangled. The molecules also fail to return to their original shape when the pressure is removed. A recent development in the synthetic skin technique has been made by imparting the color changing properties to the thin layer of silicon with the help of artificial ridges which reflect a very specific wavelength of light. By tuning the spaces between these ridges, color to be reflected by the skin can be controlled. This technology can be used in color-shifting camouflages and sensors that can detect otherwise imperceptible defects in buildings, bridges, and aircraft.

text: Another form of “artificial skin” has been created out of flexible

text: semiconductor

text: materials that can sense touch for those with

text: prosthetic limbs

text: .  The artificial skin is anticipated to augment

text: robotics

text: in conducting rudimentary jobs that would be considered delicate and require sensitive “touch”. Scientists found that by applying a layer of rubber with two parallel electrodes that stored electrical charges inside of the artificial skin, tiny amounts of pressure could be detected. When pressure is exerted, the electrical charge in the rubber is changed and the change is detected by the electrodes.  However, the film is so small that when pressure is applied to the skin, the molecules have nowhere to move and become entangled. The molecules also fail to return to their original shape when the pressure is removed. A recent development in the synthetic skin technique has been made by imparting the color changing properties to the thin layer of silicon with the help of artificial ridges which reflect a very specific wavelength of light. By tuning the spaces between these ridges, color to be reflected by the skin can be controlled. This technology can be used in color-shifting camouflages and sensors that can detect otherwise imperceptible defects in buildings, bridges, and aircraft.

text: All natural hair colors are the result of two types of hair pigments. Both of these pigments are melanin types, produced inside the hair follicle and packed into granules found in the fibers. Eumelanin is the dominant pigment in brown hair, and black hair, while pheomelanin is dominant in red hair. Blond hair is the result of having little pigmentation in the hair strand. Gray hair occurs when melanin production decreases or stops, while poliosis, typically in spots is hair (and often the skin to which the hair is attached) that never possessed melanin at all in the first place, or ceased for natural genetic reasons, generally in the first years of life.

text: All natural hair colors are the result of two types of hair pigments. Both of these pigments are melanin types, produced inside the hair follicle and packed into granules found in the fibers.

text: Eumelanin

text: is the dominant pigment in

text: brown hair

text: , and

text: black hair

text: , while

text: pheomelanin

text: is dominant in

text: red hair

text: Blond hair

text: is the result of having little

text: pigmentation

text: in the hair strand.

text: Gray hair

text: occurs when melanin production decreases or stops, while

text: poliosis

text: , typically in spots is hair (and often the skin to which the hair is attached) that never possessed melanin at all in the first place, or ceased for natural genetic reasons, generally in the first years of life.

text: And the FCC was allowing work to continue on compatible color. On the Friday before Premiere's airing, Allen B. DuMont, founder of DuMont Laboratories and the DuMont Television Network, contacted the FCC requesting that it postpone CBS's commercial color programming in light of recent improvements to RCA's compatible tricolor picture tube. His request was turned down, so while Premiere was airing Dr. DuMont invited members of the press to his Passaic, New Jersey laboratories to view a demonstration of color on this improved RCA tube. Closed-circuit color still images were displayed which to the viewing press seemed similar in quality to the CBS color broadcast which could be viewed in a separate room. NBC had already announced that starting July 9 it would begin authorized experimental broadcasts in New York City of RCA compatible color, with public demonstrations of the WNBT-TV broadcasts on RCA color receivers. In addition, the National Television System Committee (NTSC), which had helped craft the original U.S. black-and-white television broadcasting standards in 1941, had already reorganized in order to implement an all-industry plan which would pool together the knowledge and resources of the NTSC, RCA, General Electric and others to create a new "composite" compatible color system which it hoped would prove acceptable to the FCC.

text: And the FCC was allowing work to continue on compatible color. On the Friday before Premiere's airing,

text: Allen B. DuMont

text: , founder of

text: DuMont Laboratories

text: and the

text: DuMont Television Network

text: , contacted the FCC requesting that it postpone CBS's commercial color programming in light of recent improvements to RCA's compatible tricolor picture tube. His request was turned down, so while Premiere was airing Dr. DuMont invited members of the press to his

text: Passaic, New Jersey

text: laboratories to view a demonstration of color on this improved RCA tube.

text: Closed-circuit

text: color

text: still image

text: s were displayed which to the viewing press seemed similar in quality to the CBS color broadcast which could be viewed in a separate room. NBC had already announced that starting July 9 it would begin authorized experimental broadcasts in New York City of RCA compatible color, with public demonstrations of the

text: WNBT-TV

text: broadcasts on RCA color receivers. In addition, the

text: National Television System Committee

text: (NTSC), which had helped craft the original U.S. black-and-white television broadcasting standards in 1941, had already reorganized in order to implement an all-industry plan which would pool together the knowledge and resources of the NTSC, RCA,

text: General Electric

text: and others to create a new "composite" compatible color system which it hoped would prove acceptable to the FCC.

text: The color defined as red in the Munsell color system (Munsell 5R) is shown at right.  The Munsell color system is a color space that specifies colors based on three color dimensions:  hue, value (lightness), and chroma (color purity), spaced uniformly in three dimensions in the elongated oval at an angle shaped Munsell color solid according to the logarithmic scale which governs human perception.   In order for all the colors to be spaced uniformly, it was found necessary to use a color wheel with five primary colors—red, yellow, green, blue, and purple.

text: The color defined as red in the

text: Munsell color system

text: (Munsell 5R) is shown at right.  The Munsell color system is a

text: color space

text: that specifies

text: color

text: s based on three color dimensions:

text: hue

text: , value (

text: lightness

text: ), and

text: chroma

text: color solid

text: according to the

text: logarithmic scale

text: which governs

text: human perception

text: .   In order for all the colors to be spaced uniformly, it was found necessary to use a color wheel with five primary colors—red, yellow, green, blue, and purple.

text: Horses are not color blind, but have two-color, or dichromatic vision. This means they distinguish colours in two wavelength regions of visible light, compared to the three-color (trichromic vision) of most humans. In other words, horses naturally see the blue and green colors of the spectrum and the color variations based upon them, but cannot distinguish red. Research indicates that their color vision is somewhat like red-green color blindness in humans, in which certain colors, especially red and related colors, appear more green.

text: Horses are not

text: color blind

text: , but have two-color, or

text: dichromatic vision

text: . This means they distinguish colours in two wavelength regions of visible light, compared to the three-color (

text: trichromic vision

text: ) of most humans. In other words, horses naturally see the blue and green colors of the spectrum and the color variations based upon them, but cannot distinguish red. Research indicates that their color vision is somewhat like

text: red-green color blindness

text: in humans, in which certain colors, especially red and related colors, appear more green.

text: It is based on the Young-Helmholtz theory that the normal human eye sees color because its inner surface is covered with millions of intermingled cone cells of three types: In theory, one type is most sensitive to the end of the spectrum we call "red", another is more sensitive to the middle or "green" region, and a third which is most strongly stimulated by "blue". The named colors are somewhat arbitrary divisions imposed on the continuous spectrum of visible light, and the theory is not an entirely accurate description of cone sensitivity. But the simple description of these three colors coincides enough with the sensations experienced by the eye that when these three colors are used the three cones types are adequately and unequally stimulated to form the illusion of various intermediate wavelengths of light.

text: It is based on the

text: Young-Helmholtz theory

text: that the normal human eye sees color because its inner surface is covered with millions of intermingled

text: cone cell

text: s of three types: In theory, one type is most sensitive to the end of the

text: spectrum

text: we call "red", another is more sensitive to the middle or "green" region, and a third which is most strongly stimulated by "blue". The named colors are somewhat arbitrary divisions imposed on the continuous spectrum of visible light, and the theory is not an entirely accurate description of cone sensitivity. But the simple description of these three colors coincides enough with the sensations experienced by the eye that when these three colors are used the three cones types are adequately and unequally stimulated to form the illusion of various intermediate wavelengths of

text: light

text: In addition to Lithography, Chatham also produces original oil paintings. His oil paintings currently sell for tens of thousands of dollars, and there is a multi-year waiting list for commissions, but according to his dealers, he prefers printing lithographs as the more challenging art form. (Longtime Livingston residents can recall a time when early in his career Chatham traded his canvases for essential services in a barter arrangement.) Despite being a print, Chatham's lithographs have little to do with modern process lithography, which always starts from a photograph and typically only uses 4 colors. His art lithographs may have 30 or 40 different layers of color, all of which have to be hand drawn on to the printing plate, and the colors selected for the final effect.  To see some of the early proofs of one of his prints is to see a study in vivid and unusual colors from which it is almost impossible to conceive of the final subtle shadings and quiet colors.

text: In addition to

text: Lithography

text: , Chatham also produces original oil paintings. His oil paintings currently sell for tens of thousands of dollars, and there is a multi-year waiting list for commissions, but according to his dealers, he prefers printing lithographs as the more challenging art form. (Longtime Livingston residents can recall a time when early in his career Chatham traded his canvases for essential services in a barter arrangement.) Despite being a print, Chatham's lithographs have little to do with

text: modern process lithography

text: , which always starts from a photograph and typically only uses 4 colors. His art lithographs may have 30 or 40 different layers of color, all of which have to be hand drawn on to the printing plate, and the colors selected for the final effect.  To see some of the early proofs of one of his prints is to see a study in vivid and unusual colors from which it is almost impossible to conceive of the final subtle shadings and quiet colors.

text: The wavelength dependence in the grating equation shows that the grating separates an incident polychromatic beam into its constituent wavelength components, i.e., it is dispersive.  Each wavelength of input beam spectrum is sent into a different direction, producing a rainbow of colors under white light illumination. This is visually similar to the operation of a prism, although the mechanism is very different.

text: The wavelength dependence in the grating equation shows that the grating separates an incident

text: polychromatic

text: beam into its constituent wavelength components, i.e., it is

text: dispersive

text: .  Each wavelength of input beam

text: spectrum

text: is sent into a different direction, producing a

text: rainbow

text: of colors under white light illumination. This is visually similar to the operation of a

text: prism

text: , although the mechanism is very different.

text: The spectrum does not, however, contain all the colors that the human eyes and brain can distinguish. Unsaturated colors such as pink, or purple variations such as magenta, are absent, for example, because they can be made only by a mix of multiple wavelengths. Colors containing only one wavelength are also called pure colors or spectral colors.

text: The spectrum does not, however, contain all the

text: color

text: s that the human eyes and brain can distinguish.

text: Unsaturated colors

text: such as

text: pink

text: , or

text: purple

text: variations such as

text: magenta

text: , are absent, for example, because they can be made only by a mix of multiple wavelengths. Colors containing only one wavelength are also called

text: pure colors

text: or spectral colors.

text: The VAT components are used to define a cylindrical color geometry, with V as the achromatic vertical axis (lightness or brightness), T as the horizontal distance from the achromatic axis (chroma), and A as the hue angle around the hue circle. The circumferential limits of this cylinder are defined by the spectrum locus, or colors as they appear in a single wavelength of light (or a mixture of single "violet" and "red" wavelengths); this ambit varies vertically in V around the hue circle, showing whether the relative luminance or brightness of each wavelength is high (yellow hue) or low (violet blue hue). This defines the outer perceptual limits of the color space.

text: By the 1970s, because of the advent of psychedelic art, artists became used to brighter pigments, and pigments called "purple" or "bright purple" that are the pigment equivalent of electric purple became available in artists pigments and colored pencils. Reproducing electric purple in pigment requires adding some white pigment and a small amount of blue pigment to red-violet pigment. Even then, the reproduction will not be exact because it is impossible for pigment colors to be so bright as colors displayed on a computer.

text: By the 1970s, because of the advent of

text: psychedelic

text: art

text: , artists became used to brighter pigments, and pigments called "purple" or "bright purple" that are the pigment equivalent of

text: electric purple

text: became available in artists pigments and colored pencils. Reproducing electric purple in pigment requires adding some

text: white

text: pigment and a small amount of blue pigment to red-violet pigment. Even then, the reproduction will not be exact because it is impossible for pigment colors to be so bright as colors displayed on a computer.

text: Colored cements are used for decorative purposes. In some standards, the addition of pigments to produce "colored Portland cement" is allowed. In other standards (e.g. ASTM), pigments are not allowed constituents of Portland cement, and colored cements are sold as "blended hydraulic cements".

text: The best distinction between inks and pigments is that ink is a colored liquid while pigments are colored particles suspended in a liquid.  Areas colored by pigments usually have multiple layers of pigments and other mediums. The most important aspect of preserving pigments and inks is to identify their composition.  Some techniques are not suitable for certain pigments and will do further harm.

text: Corresponds to colors such as red, blue, etc. A color wheel contains basic pigments. All the hues of the rainbow encircle the cone’s perimeter. The wavelength of the color that allows color to be distinguished such as red, blue and green. Often used synonymously with the term tint. It is the dominant wavelength that distinguishes a color such as red, yellow, etc. Most commonly, video hue is influenced by a camera’s white balance or scene lighting. Video color processors, such as the video equalizer, are the main tools used to adjust and correct hue problems.

text: Media that transmit light (such as television) use additive color mixing with primary colors of red, green, and blue, each of which stimulates one of the three types of the eye's color receptors with as little stimulation as possible of the other two. This is called "RGB" color space. Mixtures of light of these primary colors cover a large part of the human color space and thus produce a large part of human color experiences. This is why color television sets or color computer monitors need only produce mixtures of red, green and blue light. See Additive color.

text: Media that transmit light (such as television) use

text: additive color

text: mixing with

text: primary color

text: s of

text: red

text: green

text: , and

text: blue

text: , each of which stimulates one of the three types of the eye's color receptors with as little stimulation as possible of the other two. This is called "

text: RGB

text: " color space. Mixtures of light of these primary colors cover a large part of the human color space and thus produce a large part of human color experiences. This is why

text: color television

text: sets or color computer monitors need only produce mixtures of red, green and blue light. See

text: Additive color

text: Pigments and dyes are largely used as colorants.  The difference between the two is in the size of the particles. Dyes are microscopic crystals that dissolve in the vehicle and pigments are suspended in the vehicle and are much larger. Dyes will color very fine grained wood, like cherry or maple, which pigments will not. Those fine-grained woods have pores too small for pigments to attach themselves to. Pigments contain a binder to help attach themselves to the wood.

text: Charles Blanc's Grammaire des arts du dessin introduced Seurat to the theories of color and vision that would inspire chromo-luminarism. Blanc's work, drawing from the theories of Michel Eugène Chevreul and Eugène Delacroix, stated that optical mixing would produce more vibrant and pure colors than the traditional process of mixing pigments. Mixing pigments physically is a subtractive process with cyan, magenta, and yellow being the primary colors. On the other hand, if colored light is mixed together, an additive mixture results, a process in which the primary colors are red, green and blue. The optical mixture which characterized Divisionism—the process of mixing color by juxtaposing pigments—is different from either additive or subtractive mixture, although combining colors in optical mixture functions the same way as additive mixture, i.e. the primary colors are the same. In reality, Seurat's paintings did not actually achieve true optical mixing; for him, the theory was more useful for causing vibrations of color to the viewer, where contrasting colors placed near each other would intensify the relationship between the colors while preserving their singular separate identity.

text: Complementary color anaglyphs employ one of a pair of complementary color filters for each eye. The most common color filters used are red and cyan. Employing tristimulus theory, the eye is sensitive to three primary colors, red, green, and blue. The red filter admits only red, while the cyan filter blocks red, passing blue and green (the combination of blue and green is perceived as cyan). If a paper viewer containing red and cyan filters is folded so that light passes through both, the image will appear black. Another recently introduced form employs blue and yellow filters. (Yellow is the color perceived when both red and green light passes through the filter.)

text: Complementary color anaglyphs employ one of a pair of complementary color filters for each eye. The most common color filters used are red and cyan. Employing

text: tristimulus

text: theory, the eye is sensitive to three primary colors, red, green, and blue. The red filter admits only red, while the cyan filter blocks red, passing blue and green (the combination of blue and green is perceived as cyan). If a paper viewer containing red and cyan filters is folded so that light passes through both, the image will appear black. Another recently introduced form employs blue and yellow filters. (Yellow is the color perceived when both red and green light passes through the filter.)

text: Aureusidin synthase has two main enzymatic tasks:  hydroxylation at the 3-position on the B-ring of chalcones, and the oxidative cyclization of chalcones to form aurones.  The chalcones modified are typically glucosylated 2',4,4',6'-tetrahydroxychalcone (THC) and 2',3,4,4',6'-pentahydroxychalcone (PHC).  These aurones, particularly auresidin, form pigments for coloration in flowers.  These pigments may have been developed to attract and guide bees for pollination, but they also provide protection from viruses, pests and fungus.

text: Aureusidin synthase has two main enzymatic tasks:

text: hydroxylation

text: at the 3-position on the B-ring of

text: chalcone

text: s, and the

text: oxidative

text: cyclization of chalcones to form

text: aurone

text: s.  The chalcones modified are typically glucosylated 2',4,4',6'-tetrahydroxychalcone (THC) and 2',3,4,4',6'-pentahydroxychalcone (PHC).  These aurones, particularly auresidin, form pigments for coloration in flowers.  These pigments may have been developed to attract and guide

text: bee

text: s for

text: pollination

text: , but they also provide protection from

text: virus

text: es, pests and

text: fungus

text: Today, there is evidence to suggest that children do not learn words through 'fast mapping' but rather learn probabilistic, predictive relationships between objects and sounds that develop over time. Evidence for this comes, for example, from children's struggles to understand color words: although infants can distinguish between basic color categories, many sighted children use color words in the same way that blind children do up until the fourth year. Typically, words such as "blue" and "yellow" appear in their vocabularies and they produce them in appropriate places in speech, but their application of individual color terms is haphazard and interchangeable. If shown a blue cup and asked its color, typical three-year-olds seem as likely to answer "red" as "blue." These difficulties persist up until around age four, even after hundreds of explicit training trials. The inability for children to understand color stems from the cognitive process of whole object constraint. Whole object constraint is the idea that a child will understand that a novel word represents the entirety of that object. Then, if the child is presented with further novel words, they attach inferred meanings to the object. However, color is the last attribute to be considered because it explains the least about the object itself. Children's behavior clearly indicates that they have knowledge of these words, but this knowledge is far from complete; rather it appears to be predictive, as opposed to all-or-none.

text: The color of individual eggs is also genetically influenced, and appears to be inherited through the mother only, suggesting that the gene responsible for pigmentation is on the sex determining W chromosome (female birds are WZ, males ZZ).

text: The color of individual eggs is also genetically influenced, and appears to be inherited through the mother only, suggesting that the

text: gene

text: responsible for pigmentation is on the sex determining

text: W chromosome

text: (female birds are WZ, males ZZ).

text: If a test color is the combination of two other colors, then in a matching experiment based on mixing primary light colors, an observer's matching value of each primary will be the sum of the matching values for each of the other test colors when viewed separately.

text: Color is a very influential source of information when people are making a purchasing decision. Customers generally make an initial judgment on a product within 90 seconds of interaction with that product and about 62%-90% of that judgment is based on color. People often see the logo of a brand or company as a representation of that company. Without prior experience to a logo, we begin to associate a brand with certain characteristics based on the primary logo color.

text: A color term, also known as a color name, is a word or phrase that refers to a specific color.  The color term may refer to human perception of that color (which is affected by visual context), or to an underlying physical property (such as a specific wavelength of visible light).  There are also numerical systems of color specification, referred to as color spaces.

text: A color term, also known as a color name, is a

text: word

text: or

text: phrase

text: that refers to a specific

text: color

text: .  The color term may refer to human perception of that color (which is affected by visual context), or to an underlying physical property (such as a specific wavelength of

text: visible light

text: ).  There are also numerical systems of color specification, referred to as

text: color space

text: s.

text: Objective stop dispersion staining takes advantage of the fact that all light unaltered by the presence of particles in the field of view is focused at the back focal plane of the objective.  If the substage condenser iris is closed down then all of the direct light is focused into a small image of the opening in the substage condenser iris at the back focal plane of the objective.  If an opaque stop is place at that position then all of the direct light is blocked and the image of the particle is made up by the wavelengths at which the particles and the mounting liquid do not match.  These colors are basically the same as the colors seen when using darkfield dispersion staining.  The double aperturing of this method enhances the color effect but also sacrifices resolution of the particles.  In fields of view where particles may be stacked or in very close proximity it may be difficult to be sure which small particle is actually producing the color. Examples of this type of dispersion staining and the colors shown for different λo’s can be seen at the microlabgallery.com site for Objective Stop Dispersion Staining.  This method is more difficult to interpret due to the single color rather than two bracketing colors but is relatively accurate near the center of the visible range.

text: However, better visual results may be obtained by first converting the color channels into a perceptive color model that will separate lightness, hue and saturation channels, so that a higher weight for error diffusion will be given to the lightness channel, than to the hue channel. The motivation for this conversion is that human vision better perceives small differences of lightness in small local areas, than similar differences of hue in the same area, and even more than similar differences of saturation on the same area.

text: However, better visual results may be obtained by first converting the color channels into a perceptive

text: color model

text: that will separate lightness, hue and saturation channels, so that a higher weight for error diffusion will be given to the lightness channel, than to the hue channel. The motivation for this conversion is that human vision better perceives small differences of lightness in small local areas, than similar differences of hue in the same area, and even more than similar differences of saturation on the same area.

text: Color–color diagrams allow for these effects to be isolated. As the color–color relationships of main sequence stars are well known, a theoretical main sequence can be plotted for reference, as is done with the solid black line in the example to the right. Interstellar dust scattering is also well understood, allowing bands to be drawn on a color–color diagram defining the region in which stars reddened by interstellar dust are expected to be observed, indicated on the color–color diagram by dashed lines. The typical axes for infrared color–color diagrams have (H–K) on the horizontal axis and (J–H) on the vertical axis (see infrared astronomy for information on band color designations). On a diagram with these axes, stars which fall to the right of the main sequence and the reddening bands drawn are significantly brighter in the K band than main sequence stars, including main sequence stars which have experienced reddening due to interstellar dust. Of the J, H, and K bands, K is the longest wavelength, so objects which are anomalously bright in the K band are said to exhibit infrared excess. These objects are likely protostellar in nature, with the excess radiation at long wavelengths caused by suppression by the reflection nebula in which the protostars are embedded. Color–color diagrams can be used then as a means of studying stellar formation, as the state of a star in its formation can be roughly determined by looking at its position on the diagram.

text: Color–color diagrams allow for these effects to be isolated. As the color–color relationships of

text: main sequence

text: stars are well known, a theoretical main sequence can be plotted for reference, as is done with the solid black line in the example to the right.

text: Interstellar dust

text: scattering is also well understood, allowing bands to be drawn on a color–color diagram defining the region in which stars

text: reddened

text: by interstellar dust are expected to be observed, indicated on the color–color diagram by dashed lines. The typical axes for infrared color–color diagrams have (H–K) on the horizontal axis and (J–H) on the vertical axis (see

text: infrared astronomy

text: for information on band color designations). On a diagram with these axes, stars which fall to the right of the main sequence and the reddening bands drawn are significantly brighter in the K band than main sequence stars, including main sequence stars which have experienced reddening due to interstellar dust. Of the J, H, and K bands, K is the longest wavelength, so objects which are anomalously bright in the K band are said to exhibit

text: infrared excess

text: . These objects are likely

text: protostellar

text: in nature, with the excess radiation at long wavelengths caused by suppression by the

text: reflection nebula

text: in which the protostars are embedded. Color–color diagrams can be used then as a means of studying stellar formation, as the state of a star in its formation can be roughly determined by looking at its position on the diagram.

text: In any photometric system interstellar reddening can be described by color excess, defined as the difference between an object's observed color index and its intrinsic color index (sometimes referred to as its normal color index). An object's intrinsic color index is the theoretical color index which it would have if unaffected by extinction. In the UBV photometric system the color excess

text: In any

text: photometric system

text: interstellar reddening can be described by color excess, defined as the difference between an object's observed color index and its intrinsic color index (sometimes referred to as its normal color index). An object's intrinsic color index is the theoretical color index which it would have if unaffected by extinction. In the

text: UBV photometric system

text: the color excess

text: Humans are able to see an array of colours because light in the visible spectrum is made up of different wavelengths (from 380 to 760 nm). Our ability to see in colour is due to three different cone cells in the retina, containing three different photopigments. The three cones are each specialized to best pick up a certain wavelength (420, 530 and 560 nm or roughly the colours blue, green and red). The brain is able to distinguish the wavelength and colour in the field of vision by figuring out which cone has been stimulated. The physical dimensions of colour include wavelength, intensity and purity while the related perceptual dimensions include hue, brightness and saturation.

text: Humans are able to see an array of colours because light in the visible spectrum is made up of different wavelengths (from 380 to 760 nm). Our ability to see in colour is due to three different

text: cone cells

text: in the retina, containing three different photopigments. The three cones are each specialized to best pick up a certain wavelength (420, 530 and 560 nm or roughly the colours blue, green and red). The brain is able to distinguish the wavelength and colour in the field of vision by figuring out which cone has been stimulated. The physical dimensions of colour include

text: wavelength

text: intensity

text: and purity while the related perceptual dimensions include

text: hue

text: brightness

text: and saturation.

text: The White Shepherd has a weather-resistant double coat. The outer coat is dense, straight, harsh, and close lying. The undercoat is short, thick, and fine in texture. At the neck, the coat may be slightly longer and heavier, particularly in males. Ideal coat color is a pure white. Colors ranging from a very light cream to a light biscuit tan are acceptable but not preferred.It is a disqualification for dogs to have noses not predominantly black.The tail is set on low in a natural extension of the sloping croup. The tail extends at least to the hock joint and usually below.The appearance standard for United Kennel Club registered dogs is very similar to but not exactly the same as for other separate breed lines such as the AWSA-registered White Shepherd or the FCI internationally recognized Berger Blanc Suisse (White Swiss Shepherd Dog). While all of the existing breed lines have a common genetic heritage with the white-coated members of the German Shepherd Dog breed, they are each separately registered with their respective clubs or registries which also maintain the individual breed appearance standards.

text: The northern cardinal is a mid-sized songbird with a body length of  and a wingspan of . The adult weighs from , with an average . The male averages slightly larger than the female. The adult male is a brilliant crimson red color with a black face mask over the eyes, extending to the upper chest. The color becomes duller and darker on the back and wings. The female is fawn, with mostly grayish-brown tones and a slight reddish tint on the wings, the crest, and the tail feathers. The face mask of the female is gray to black and is less defined than that of the male. Both sexes possess prominent raised crests and bright coral-colored beaks. The beak is cone-shaped and strong. Young birds, both male and female, show coloring similar to the adult female until the fall, when they molt and grow adult feathers. They are brown above and red-brown below, with brick-colored crest, forehead, wings, and tail. The legs and feet are a dark pink-brown. The iris of the eye is brown.The plumage color of the males is produced from carotenoid pigments in the diet. Coloration is produced from both red pigments and yellow carotenoid pigments. Northern cardinal males possess the ability to metabolize carotenoid pigments to create plumage pigmentation of a color different from the ingested pigment. When fed only yellow pigments, males become a pale red color, rather than a yellow. However, there are rare "yellow morph" cardinals, where all feathers (except for black face mask) and beak are a moderate yellow color. During the winter months, both male and female will fluff up their down feathers in order to trap warm air next to their body and keeping cold air from reaching their body. The down feathers are small and hairlike at the base of each flight feather. The legs and feet of almost all birds are thin and lack feathers, and so are vulnerable to rapid heat loss. Therefore, many take turns tucking one leg at a time into their body to keep them warm while still using the other to stand.

text: The northern cardinal is a mid-sized

text: songbird

text: with a body length of  and a wingspan of . The adult weighs from , with an average . The male averages

text: slightly larger

text: than the female. The adult male is a brilliant

text: crimson

text: red color with a black face mask over the eyes, extending to the upper chest. The color becomes duller and darker on the back and wings. The female is

text: fawn

text: , with mostly grayish-brown tones and a slight reddish tint on the wings, the crest, and the tail feathers. The face mask of the female is gray to black and is less defined than that of the male. Both sexes possess prominent raised crests and bright coral-colored

text: beak

text: s. The beak is cone-shaped and strong. Young birds, both male and female, show coloring similar to the adult female until the fall, when they molt and grow adult feathers. They are brown above and red-brown below, with brick-colored crest, forehead, wings, and tail. The legs and feet are a dark pink-brown. The iris of the eye is brown.The plumage color of the males is produced from

text: carotenoid

text: pigments in the diet. Coloration is produced from both red pigments and yellow carotenoid pigments. Northern cardinal males possess the ability to metabolize carotenoid pigments to create plumage pigmentation of a color different from the ingested pigment. When fed only yellow pigments, males become a pale red color, rather than a yellow. However, there are rare "yellow morph" cardinals, where all feathers (except for black face mask) and beak are a moderate yellow color. During the winter months, both male and female will fluff up their

text: down feather

text: s in order to trap warm air next to their body and keeping cold air from reaching their body. The down feathers are small and hairlike at the base of each

text: flight feather

text: . The legs and feet of almost all birds are thin and lack feathers, and so are vulnerable to rapid heat loss. Therefore, many take turns tucking one leg at a time into their body to keep them warm while still using the other to stand.

text: Since the human eye has three types of color sensors that respond to different ranges of wavelengths, a full plot of all visible colors is a three-dimensional figure. However, the concept of color can be divided into two parts: brightness and chromaticity. For example, the color white is a bright color, while the color grey is considered to be a less bright version of that same white. In other words, the chromaticity of white and grey are the same while their brightness differs.

text: Since the

text: human eye

text: has three types of color sensors that respond to different ranges of

text: wavelength

text: s, a full plot of all visible colors is a three-dimensional figure. However, the concept of color can be divided into two parts: brightness and

text: chromaticity

text: . For example, the color white is a bright color, while the color grey is considered to be a less bright version of that same white. In other words, the chromaticity of white and grey are the same while their brightness differs.

text: {|class="wikitable"|+! style="background-color:#FFFFFF; color:#000000;" scope="col"|Position! style="background-color:#FFFFFF; color:#000000;" scope="col"|Staff|-

text: Similarly, languages are selective when deciding which hues are split into different colors on the basis of how light or dark they are. English splits some hues into several distinct colors according to lightness: such as red and pink or orange and brown. To English speakers, these pairs of colors, which are objectively no more different from one another than light green and dark green, are conceived of as belonging to different categories. A Russian will make the same red/pink and orange/brown distinctions, but will also make a further distinction between sinii and goluboi, which English speakers would simply call dark and light blue.  To Russian speakers, sinii and goluboi are as separate as red and pink or orange and brown.

text: Similarly, languages are selective when deciding which hues are split into different colors on the basis of how light or dark they are. English splits some hues into several distinct colors according to lightness: such as

text: red

text: and

text: pink

text: or

text: orange

text: and

text: brown

text: . To English speakers, these pairs of colors, which are objectively no more different from one another than light green and dark green, are conceived of as belonging to different categories. A Russian will make the same red/pink and orange/brown distinctions, but will also make a further distinction between sinii and goluboi, which English speakers would simply call dark and light blue.  To Russian speakers, sinii and goluboi are as separate as red and pink or orange and brown.

text: Symbolic representations of religious concepts or articles may include a specific color with which the concept or object is associated. There is evidence to suggest that colors have been used for this purpose as early as 90,000 BC.

text: It is straightforward to verify that every -constructible graph requires at least  colors in any proper graph coloring. Indeed, this is clear for the complete graph , and the effect of identifying two nonadjacent vertices is to force them to have the same color as each other in any coloring, something that does not reduce the number of colors. In the Hajós construction itself, the new edge  forces at least one of the two vertices  and  to have a different color than the combined vertex for  and , so any proper coloring of the combined graph leads to a proper coloring of one of the two smaller graphs from which it was formed, which again causes it to require  colors.

text: It is straightforward to verify that every -constructible graph requires at least  colors in any

text: proper graph coloring

text: . Indeed, this is clear for the complete graph , and the effect of identifying two nonadjacent vertices is to force them to have the same color as each other in any coloring, something that does not reduce the number of colors. In the Hajós construction itself, the new edge  forces at least one of the two vertices  and  to have a different color than the combined vertex for  and , so any proper coloring of the combined graph leads to a proper coloring of one of the two smaller graphs from which it was formed, which again causes it to require  colors.

text: |-| | style="background:#ffcd35;color:#6137ad;"| 23 || style="background:#ffcd35;color:#6137ad;"| 23 || 36.5 || .398 || .291 || .579 || 4.0 || 2.1 || style="background:#ffcd35;color:#6137ad;"| 1.5 || .5 || 11.2|-| | style="background:#ffcd35;color:#6137ad;"| 23 || 0 || 14.1 || .393 || .281 || .714 || 1.3 || .9 || .4 || .3 || 4.9|-| | style="background:#ffcd35;color:#6137ad;"| 23 || style="background:#ffcd35;color:#6137ad;"| 23 || style="background:#ffcd35;color:#6137ad;"| 40.1 || .458 || .374 || .842 || 6.0 || style="background:#ffcd35;color:#6137ad;"| 5.5 || 1.4 || .7 || style="background:#ffcd35;color:#6137ad;"| 29.2|-| | style="background:#ffcd35;color:#6137ad;"| 23 || style="background:#ffcd35;color:#6137ad;"| 23 || 24.4 || .537 || .000 || .679 || 6.9 || .5 || .3 || 1.6 || 8.6|-| | style="background:#ffcd35;color:#6137ad;"| 23 || 0 || 13.1 || .404 || style="background:#ffcd35;color:#6137ad;"| .400 || .692 || 1.2 || 1.4 || .7 || .0 || 4.6|-| | style="background:#ffcd35;color:#6137ad;"| 23 || style="background:#ffcd35;color:#6137ad;"| 23 || 32.5 || .448 || .360 || .821 || 2.5 || 2.8 || 1.2 || .0 || 10.3|-| | style="background:#ffcd35;color:#6137ad;"| 23 || style="background:#ffcd35;color:#6137ad;"| 23 || 39.7 || style="background:#ffcd35;color:#6137ad;"| .539 || .000 || .759 || style="background:#ffcd35;color:#6137ad;"| 11.1 || 3.5 || .4 || style="background:#ffcd35;color:#6137ad;"| 2.1 || 19.6|-| | 3 || 0 || 4.0 || .333 || .000 || style="background:#ffcd35;color:#6137ad;"| 1.000 || 1.7 || .3 || .0 || .0 || 1.7|-| | 2 || 0 || 6.5 || .444 || .000 || .000 || 2.5 || .5 || .0 || .0 || 4.0|-| | style="background:#ffcd35;color:#6137ad;"| 23 || 0 || 29.0 || .469 || .244 || .600 || 8.6 || 2.0 || .6 || .9 || 9.7|-| | 13 || 0 || 3.1 || .375 || .000 || .750 || .5 || .1 || .0 || .0 || .7|-| | 10 || 0 || 7.6 || .435 || style="background:#ffcd35;color:#6137ad;"| .400 || .833 || .8 || .5 || .2 || .0 || 3.1|-| | 16 || 0 || 6.0 || .304 || .222 || .500 || .5 || .9 || .1 || .1 || 1.1|}

text: are zero at , since in these cases the test color is one of the primaries. The primaries with wavelengths  and  were chosen because they are easily reproducible monochromatic lines of a mercury vapor discharge. The  wavelength, which in 1931 was difficult to reproduce as a monochromatic beam, was chosen because the eye's perception of color is rather unchanging at this wavelength, and therefore small errors in wavelength of this primary would have little effect on the results.

text: All of these configurations have the same requirements for the preparation of the sample to be examined.  First, the substance of interest must be in intimate contact with the known reference material.  In other words, the clean solid must be mounted in a reference liquid, one mineral phase must be in intimate contact with the reference mineral phase, or the homogenous liquid must contain the reference solid. Most applications involve a solid mounted in a reference liquid (referred to as the mounting medium).  Second, dispersion colors will only be present if the two materials have the same refractive index for some wavelength in the visible spectrum (referred to as λo) and they have very different dispersions curves for the refractive index.  Finally, the sample must be properly mounted under a coverslip to minimize any other optical effect that could complicate the interpretation of the color seen.  Once these criteria are met the sample is ready to be examined.

text: The 7800 features a broad (for its time) palette of 256 colors. Depending on various parameters, each individual sprite can use from 1 to 12 colors, with 3 colors (plus a 4th "transparency" color) being the most common. In this format, the sprite is referenced to one of 8 palettes, where each palette holds 3 assignable colors. There is also an assignable background color, which will be visible wherever another object has not covered it up. In total the system can utilize 25 colors on a scanline at one time.

text: The CIE RGB color space is one of many RGB color spaces, distinguished by a particular set of monochromatic (single-wavelength) primary colors.

text: The CIE RGB color space is one of many

text: RGB color spaces

text: , distinguished by a particular set of monochromatic (single-wavelength)

text: primary color

text: s.

text: (see Color center)

text: (see

text: Color center

text: Birds from a handful of families—including raptors, owls, skuas, parrots, turkeys and curassows—have a waxy structure called a cere (from the Latin cera, which means "wax") which covers the base of their bill.  This structure typically contains the nares, except in the owls, where the nares are distal to the cere.  Although it is sometimes feathered in parrots, the cere is typically bare and often brightly colored. In raptors, the cere is a sexual signal which indicates the "quality" of a bird; the orangeness of a Montague's harrier's cere, for example, correlates to its body mass and physical condition.  The cere color of young Eurasian scops-owls has an ultraviolet (UV) component, with a UV peak that correlates to the bird's mass.  A chick with a lower body mass has a UV peak at a higher wavelength than a chick with a higher body mass does.  Studies have shown that parent owls preferentially feed chicks with ceres that show higher wavelength UV peaks, that is, lighter-weight chicks.

text: Birds from a handful of families—including raptors, owls, skuas, parrots, turkeys and curassows—have a waxy structure called a cere (from the

text: Latin

text: cera, which means "wax") which covers the base of their bill.  This structure typically contains the nares, except in the owls, where the nares are distal to the cere.  Although it is sometimes feathered in parrots, the cere is typically bare and often brightly colored. In raptors, the cere is a sexual signal which indicates the "quality" of a bird; the orangeness of a

text: Montague's harrier

text: 's cere, for example, correlates to its body mass and physical condition.  The cere color of young

text: Eurasian scops-owl

text: s has an

text: ultraviolet

text: (UV) component, with a UV peak that correlates to the bird's mass.  A chick with a lower body mass has a UV peak at a higher

text: wavelength

text: than a chick with a higher body mass does.  Studies have shown that parent owls preferentially feed chicks with ceres that show higher wavelength UV peaks, that is, lighter-weight chicks.

text: The editors chose the names for the dictionary and their corresponding colors by comparing the chips in the Color Harmony Manual to physical products advertised with color names, and also made reference to a number of already published color dictionaries. Where names referred to natural objects they examined those objects directly.

text: The Adobe RGB color space is an RGB color space developed by Adobe Systems in 1998. It was designed to encompass most of the colors achievable on CMYK color printers, but by using RGB primary colors on a device such as the computer display. The Adobe RGB color space encompasses roughly 50% of the visible colors specified by the Lab color space, improving upon the gamut of the sRGB color space primarily in cyan-greens.

text: The Adobe RGB color space is an

text: RGB color space

text: developed by

text: Adobe Systems

text: in 1998. It was designed to encompass most of the colors achievable on

text: CMYK

text: color

text: printers

text: , but by using

text: RGB

text: primary colors on a device such as the

text: computer display

text: . The Adobe RGB

text: color space

text: encompasses roughly 50% of the visible colors specified by the

text: Lab color space

text: , improving upon the

text: gamut

text: of the

text: sRGB color space

text: primarily in cyan-greens.

text: Candidate galaxies around redshift z = 3 can then be selected by looking for galaxies which appear in optical images (which are sensitive to wavelengths greater than 3600 Å), but do not appear in ultraviolet images (which are sensitive to light at wavelengths shorter than 3600 Å).  The technique may be adapted to look for galaxies at other redshifts by choosing different sets of filters—the method works as long as images may be taken through at least one filter above and below the wavelength of the redshifted Lyman limit. In order to confirm the redshift estimated by the color selection, follow-up spectroscopy is performed.  Although spectroscopic measurements are necessary to obtain a high-precision redshift, spectroscopy is typically much more time-consuming than imaging, so the selection of candidate galaxies via the Lyman-break technique greatly improves the efficiency of high-redshift galaxy surveys.

text: Candidate galaxies around redshift z = 3 can then be selected by looking for galaxies which appear in optical images (which are sensitive to wavelengths greater than 3600 Å), but do not appear in ultraviolet images (which are sensitive to light at wavelengths shorter than 3600 Å).  The technique may be adapted to look for galaxies at other redshifts by choosing different sets of filters—the method works as long as images may be taken through at least one filter above and below the wavelength of the redshifted Lyman limit. In order to confirm the redshift estimated by the color selection, follow-up

text: spectroscopy

text: is performed.  Although spectroscopic measurements are necessary to obtain a high-precision redshift, spectroscopy is typically much more time-consuming than imaging, so the selection of candidate galaxies via the Lyman-break technique greatly improves the efficiency of high-redshift galaxy surveys.

text: Some of the proposed solutions have been color histogram intersection, color constant indexing, cumulative color histogram, quadratic distance, and color correlograms. Although there are drawbacks of using histograms for indexing and classification, using color in a real-time system has several advantages. One is that color information is faster to compute compared to other invariants. It has been shown in some cases that color can be an efficient method for identifying objects of known location and appearance.

text: Some of the proposed solutions have been color histogram intersection, color constant indexing, cumulative color histogram, quadratic distance, and color

text: correlogram

text: s. Although there are drawbacks of using histograms for indexing and classification, using color in a real-time system has several advantages. One is that color information is faster to compute compared to other invariants. It has been shown in some cases that color can be an efficient method for identifying objects of known location and appearance.

text: |-! colspan="2" style="background-color: #D0103A;  color: #FFFFFF; text-align: center;" | Anderson Packers 1949–50 roster|- style="background-color: #0046AD; color: #FFFFFF;   text-align: center;"! Players !! Coaches|- | valign="top" |

text: series! style="color:#FFFFFF; background-color: #CD853F" | No. in

text: Lichens come in many colors. Coloration is usually determined by the photosynthetic component. Special pigments, such as yellow usnic acid, give lichens a variety of colors, including reds, oranges, yellows, and browns, especially in exposed, dry habitats. In the absence of special pigments, lichens are usually bright green to olive gray when wet, gray or grayish-green to brown when dry. This is because moisture causes the surface skin (cortex) to become more transparent, exposing the green photobiont layer. Different colored lichens covering large areas of exposed rock surfaces, or lichens covering or hanging from bark can be a spectacular display when the patches of diverse colors "come to life" or "glow" in brilliant displays following rain.

text: Lichens come in many colors. Coloration is usually determined by the photosynthetic component. Special pigments, such as yellow

text: usnic acid

text: , give lichens a variety of colors, including reds, oranges, yellows, and browns, especially in exposed, dry habitats. In the absence of special pigments, lichens are usually bright green to olive gray when wet, gray or grayish-green to brown when dry. This is because moisture causes the surface skin (

text: cortex

text: ) to become more transparent, exposing the green photobiont layer. Different colored lichens covering large areas of exposed rock surfaces, or lichens covering or hanging from bark can be a spectacular display when the patches of diverse colors "come to life" or "glow" in brilliant displays following rain.

text: In optical apparatuses such as curved mirrors, lenses or prisms, chromatic aberrations, i.e., unintended separation of colors, may occur.  However, when optical aberrations distort monochromatic light the effect is called monochromatic aberration.

text: Chingis Izmailov hypothesized that spherical models and other metric structures may not be applicable to properties of categorizable perceptual objects. Thus, colors lose their metric arrangement when they are colors of differently categorized objects (such as “apple” and “banana”) rather than colors of objects that do not belong to different categories (e.g., apertures or pigment patches). Chingis Izmailov also hypothesized, based on the evoked potential experiments, that the system responsible for detection of changes in brightness is physiologically different from the system responsible for detecting spatial patterns.

text: The use of metallic colors is not limited to those colors that approximate the appearance of actual metals. In some instances, it has been noted, "[b]eetles with bright metallic colors are made up into tie pins and cuff links". One popular modern use of metallic colors is for automobiles, which use metallic paint to achieve a particular shine. Such colors "are made from a combination of different pigments and aluminum flakes that have different weights and particle sizes". Crayon-maker Crayola has manufactured several lines of "metallic" products, including "Metallic FX" crayons, and "Metallic Colors" colored pencils, which have flecks of sparkles to achieve the metallic effect.

text: The use of metallic colors is not limited to those colors that approximate the appearance of actual metals. In some instances, it has been noted, "[b]eetles with bright metallic colors are made up into tie pins and cuff links". One popular modern use of metallic colors is for

text: automobile

text: s, which use

text: metallic paint

text: to achieve a particular shine. Such colors "are made from a combination of different pigments and aluminum flakes that have different weights and particle sizes".

text: Crayon

text: -maker

text: Crayola

text: has manufactured several lines of "metallic" products, including "

text: Metallic FX

text: " crayons, and "

text: Metallic Colors

text: " colored pencils, which have flecks of sparkles to achieve the metallic effect.

text: In astronomy, the color index is a simple numerical expression that determines the color of an object, which in the case of a star gives its temperature. The smaller the color index, the more blue (or hotter) the object is. Conversely, the larger the color index, the more red (or cooler) the object is. This is a consequence of the logarithmic magnitude scale, in which brighter objects have smaller (more negative) magnitudes than dimmer ones. For comparison, the yellowish Sun has a B–V index of , whereas the bluish Rigel has a B–V of –0.03 (its B magnitude is 0.09 and its V magnitude is 0.12, B–V = –0.03).

text: In

text: astronomy

text: , the color index is a simple

text: numerical

text: expression

text: that determines the

text: color

text: of an object, which in the case of a

text: star

text: gives its

text: temperature

text: . The smaller the color index, the more

text: blue

text: (or hotter) the object is. Conversely, the larger the color index, the more

text: red

text: (or cooler) the object is. This is a consequence of the

text: logarithmic

text: magnitude scale, in which brighter objects have smaller (more negative) magnitudes than dimmer ones. For comparison, the

text: yellow

text: ish

text: Sun

text: has a B–V index of , whereas the bluish

text: Rigel

text: has a B–V of –0.03 (its B magnitude is 0.09 and its V magnitude is 0.12, B–V = –0.03).

text: Whenever a trap between two colors is created, it will contain the sum of the two colors in question when at least one of them is a spot color. In case the two colors are process colors, the trap will contain the highest value of each of the CMYK components. This trap color is always darker than the darker of the two abutting colors. In some cases, more specifically when the two colors are light pastel-like colors, this might result in a trap that is perceived as too visible. In this case, it might be desirable to reduce the amount of color in the trap. This should be limited however: the trap should never be lighter than the darkest color since this would have the same effect as misregistration—a light colored ‘gap’ between the two colors.  Also, trap color reduction is not recommended when solid spot colors are used. In this case, reduction would cause the spot color in the trap to be printed, not as a solid, but as a screened tint.

text: Green is the color between blue and yellow on the spectrum of visible light. It is evoked by light with a predominant wavelength of roughly 495570 nm. In the subtractive color system,  used in painting and color printing, it is created by a combination of yellow and blue, or yellow and cyan;  in the RGB color model, used on television and computer screens, it is one of the additive primary colors, along with red and blue, which are mixed in different combinations to create all other colors.

text: Green is the color between

text: blue

text: and

text: yellow

text: on the

text: spectrum

text: of visible light. It is evoked by light with a predominant

text: wavelength

text: of roughly 495570

text: nm

text: . In the

text: subtractive color

text: system,  used in painting and color printing, it is created by a combination of yellow and blue, or yellow and

text: cyan

text: ;  in the

text: RGB color model

text: additive primary colors

text: , along with

text: red

text: and blue, which are mixed in different combinations to create all other colors.

text: Lighter colors and also whites and metallic substances absorb less illuminating light, and thus heat up less; but otherwise color makes small difference as regards heat transfer between an object at everyday temperatures and its surroundings, since the dominant emitted wavelengths are nowhere near the visible spectrum, but rather in the far infrared. Emissivities at those wavelengths have little to do with visual emissivities (visible colors); in the far infra-red, most objects have high emissivities. Thus, except in sunlight, the color of clothing makes little difference as regards warmth; likewise, paint color of houses makes little difference to warmth except when the painted part is sunlit.

text: In astronomy, the color temperature is defined by the local slope of the SPD at a given wavelength, or, in practice, a wavelength range. Given, for example, the color magnitudes B and V which are calibrated to be equal for an A0V star (e.g. Vega), the stellar color temperature

text: In

text: astronomy

text: , the color temperature is defined by the local slope of the SPD at a given wavelength, or, in practice, a wavelength range. Given, for example, the

text: color magnitudes

text: B and V which are calibrated to be equal for an

text: A0V star

text: (e.g.

text: Vega

text: ), the stellar color temperature

text: |- style="background-color:#bbffbb"| 1 || April 3 || @ Phillies || 13–5 || Carpenter || Lieber || || 44,614 || 1–0|- style="background-color:#bbffbb"| 2 || April 5 || @ Phillies || 4–3 || Thompson || Gordon ||Isringhausen  || 20,557 || 2–0|- style="background-color:#bbffbb"| 3 || April 6 || @ Phillies || 4–2 || Marquis || Lidle || Isringhausen  || 20,413 || 3–0|- style="background-color:#ffbbbb"| 4 || April 7 || @ Cubs || 1–5 || Maddux || Suppan ||  || 40,869 || 3–1|- style="background-color:#ffbbbb"| 5 || April 8 || @ Cubs || 2–3 || Howry || Thompson || Dempster || 40,182 || 3–2|- style="background-color:#ffbbbb"| 6 || April 9 || @ Cubs || 4–8 || Williamson || Isringhausen || || 39,839 || 3–3|- style="background-color:#bbffbb"| 7 || April 10 || Brewers || 6–4 || Mulder || Ohka || Isringhausen || 41,936 || 4–3|- style="background-color:#bbffbb"| 8 || April 12 || Brewers || 8–3 || Marquis || Bush || || 40,648 || 5–3|- style="background-color:#ffbbbb"| 9 || April 13 || Brewers || 3–4(11) || de la Rosa || Isringhausen || Turnbow || 40,222 || 5–4|- style="background-color:#ffbbbb"| 10 || April 14 || Reds || 0–1 || Harang || Carpenter || Weathers || 40,901 || 5–5|- style="background-color:#bbffbb"| 11 || April 15 || Reds || 9–3 || Ponson || Williams || || 40,752 || 6–5|- style="background-color:#bbffbb"| 12 || April 16 || Reds || 8–7 || Looper || Weathers || || 40,068 || 7–5|- style="background-color:#bbffbb"| 13 || April 17 || @ Pirates || 2–1 || Marquis || Maholm || Isringhausen || 15,278 || 8–5|- style="background-color:#ffbbbb"| 14 || April 18 || @ Pirates || 4–12 || Ol. Perez || Suppan || || 16,682 || 8–6|- style="background-color:#bbffbb"| 15 || April 19 || @ Pirates || 4–0 || Carpenter || Santos || || 15,085 || 9–6|- style="background-color:#bbffbb"| 16 || April 21 || Cubs || 9–3 || Mulder || Williams || || 41,379 || 10–6|- style="background-color:#bbffbb"| 17 || April 22 || Cubs || 4–1 || Ponson || Rusch || Isringhausen || 41,424 || 11–6|- style="background-color:#ffbbbb"| 18 || April 23 || Cubs || 3–7 || Maddux || Marquis || || 41,373 || 11–7|- style="background-color:#bbffbb"| 19 || April 24 || Pirates || 7–2 || Carpenter || Ol. Perez || || 38,953 || 12–7|- style="background-color:#bbffbb"| 20 || April 25 || Pirates || 6–3 || Suppan || Santos || Isringhausen || 38,809 || 13–7|- style="background-color:#bbffbb"| 21 || April 26 || Pirates || 4–3 || Isringhausen || R. Hernandez ||  || 38,728 || 14–7|- style="background-color:#bbffbb"| 22 || April 27 || Nationals || 6–2 || Ponson || O'Connor ||  || 39,515 || 15–7|- style="background-color:#ffbbbb"| 23 || April 28 || Nationals || 3–8 || Armas || Marquis ||  || 40,841 || 15–8|- style="background-color:#bbffbb"| 24 || April 29 || Nationals || 2–1 || Looper || Rauch|| Isringhausen || 39,596 || 16–8|- style="background-color:#bbffbb"| 25 || April 30 || Nationals || 9–2 || Suppan || Day || || 39,383 || 17–8|- style="background-color:#ffbbbb"| 26 || May 1 || @ Reds || 1–6 || Arroyo || Mulder || || 20,900 || 17–9|- style="background-color:#ffbbbb"| 27 || May 2 || @ Reds || 2–3 || Coffey || Falkenborg || || 25,127 || 17–10|- style="background-color:#ffbbbb"| 28 || May 3 || @ Astros || 4–5 || Oswalt || Marquis || Lidge  || 37,305 || 17–11|- style="background-color:#ffbbbb"| 29 || May 4 || @ Astros || 3–4 || Pettitte || Carpenter || Lidge || 37,290 || 17–12|- style="background-color:#bbffbb"| 30 || May 5 || @ Marlins || 7–2 || Suppan || Mitre || || 13,266 || 18–12|- style="background-color:#bbffbb"| 31 || May 6 || @ Marlins || 7–6 || Mulder || Willis || Isringhausen || 14,369 || 19–12|- style="background-color:#bbffbb"| 32 || May 7 || @ Marlins || 9–1 || Hancock || Olsen || || 13,057 || 20–12|- style="background-color:#ffbbbb"| 33 || May 8 || Rockies || 2–6 || Francis || Marquis || Fuentes || 39,007 || 20–13|- style="background-color:#bbffbb"| 34 || May 9 || Rockies || 4–2 || Wainwright || Mesa || Isringhausen || 40,375 || 21–13|- style="background-color:#bbffbb"| 35 || May 10 || Rockies || 7–4 || Suppan || B. Kim || Isringhausen || 39,108 || 22–13|- style="background-color:#bbffbb"| 36 || May 12 || Diamondbacks || 5–3 || Mulder || Cruz || Isringhausen || 41,085 || 23–13|- style="background-color:#bbffbb"| 37 || May 13 || Diamondbacks || 9–1 || Marquis || Vargas || || 40,585 || 24–13|- style="background-color:#ffbbbb"| 38 || May 14 || Diamondbacks || 6–7 || Vizcaino || Wainwright || Valverde || 40,891|| 24–14|- style="background-color:#ffbbbb"| 39 || May 16 || Mets || 3–8 || Glavine || Suppan || || 39,616 || 24–15|- style="background-color:#bbffbb"| 40 || May 17 || Mets || 1–0 || Mulder || Trachsel || Isringhausen || 40,573 || 25–15|- style="background-color:#bbffbb"| 41 || May 18 || Mets || 6–3 || Marquis || Lima || Isringhausen || 40,573 || 26–15|- style="background-color:#bbffbb"| 42 || May 19 || @ Royals || 9–6 || Carpenter || Redman || Wainwright || 33,045 || 27–15|- style="background-color:#bbffbb"| 43 || May 20 || @ Royals || 4–2 || Reyes || Bautista || Isringhausen || 40,516 || 28–15|- style="background-color:#bbffbb"| 44 || May 21 || @ Royals || 10–3 || Suppan || Elarton || || 30,266 || 29–15|- style="background-color:#ffbbbb"| 45 || May 22 || @ Giants || 2–9 || Wright || Mulder || || 38,133 || 29–16|- style="background-color:#bbffbb"| 46 || May 23 || @ Giants || 8–5 || Marquis || Morris || Isringhausen || 37,986 || 30–16|- style="background-color:#bbffbb"| 47 || May 24 || @ Giants || 10–4 || Wainwright || Lowry ||  || 37,752 || 31–16|- style="background-color:#ffbbbb"| 48 || May 26 || @ Padres || 1–7 || Hensley || Suppan ||  || 40,075 || 31–17|- style="background-color:#bbffbb"| 49 || May 27 || @ Padres || 4–3 || Ponson || Park || Isringhausen || 32,722 || 32–17|- style="background-color:#ffbbbb"| 50 || May 28 || @ Padres || 8–10 || Peavy|| Mulder || Hoffman || 38,145 || 32–18|- style="background-color:#bbffbb"| 51 || May 29 || Astros || 3–1 || Marquis || Miller || Isringhausen || 45,509 || 33–18|- style="background-color:#ffbbbb"| 52 || May 30 || Astros || 3–6 || Pettitte || Hancock || Lidge || 44,732 || 33–19|- style="background-color:#bbffbb"| 53 || May 31 || Astros || 4–3(11) || Looper || Gallo || || 43,534 || 34–19|- style="background-color:#ffbbbb"| 54 || June 2 || Cubs || 4–5(14) || Dempster || Hancock || || 45,799 || 34–20|- style="background-color:#ffbbbb"| 55 || June 3 || Cubs|| 5–8 || Rusch || Mulder || Howry || 45,820 || 34–21|- style="background-color:#bbffbb"| 56 || June 4 || Cubs|| 9–6 || Marquis || Maddux || Isringhausen  || 45,753 || 35–21|- style="background-color:#ffbbbb"| 57 || June 5 || Reds || 7–8 || Yan || Isringhausen || Coffey || 43,707 || 35–22|- style="background-color:#ffbbbb"| 58 || June 6 || Reds || 0–7 || Milton || Carpenter || || 43,857 || 35–23|- style="background-color:#ffbbbb"| 59 || June 7 || Reds || 4–7 || Harang || Ponson || Coffey || 44,306 || 35–24|- style="background-color:#bbffbb"| 60 || June 9 || @ Brewers || 10–6 || Hancock || Winkelsas || Isringhausen || 24,490 || 36–24|- style="background-color:#ffbbbb"| 61 || June 10 ||@ Brewers || 3–4 || Wise || Flores || Turnbow || 36,981 || 36–25|- style="background-color:#bbffbb"| 62 || June 11 || @ Brewers || 7–5 || Hancock || Bush || Isringhausen || 29,122 || 37–25|- style="background-color:#bbffbb"| 63 || June 13 || @ Pirates || 2–1 || Carpenter || Ol. Perez|| Isringhausen || 24,443 || 38–25|- style="background-color:#ffbbbb"| 64 || June 14 || @ Pirates || 7–9 || Duke || Ponson || Gonzalez || 20,289 || 38–26|- style="background-color:#bbffbb"| 65 || June 15 || @ Pirates || 6–5 || Mulder || Santos || Isringhausen || 18,248 || 39–26|- style="background-color:#bbffbb"| 66 || June 16 || Rockies || 8–1 || Marquis || Cook || || 45,736 || 40–26|- style="background-color:#bbffbb"| 67 || June 17 || Rockies || 6–5 || Suppan || Francis || Isringhausen || 45,968 || 41–26|- style="background-color:#bbffbb"| 68 || June 18 || Rockies || 4–1 || Carpenter || Fogg || Isringhausen || 45,647 || 42–26|- style="background-color:#ffbbbb"| 69 || June 20 || @ White Sox || 6–20 || Vazquez || Mulder || || 39,463 || 42–27|- style="background-color:#ffbbbb"| 70 || June 21 || @ White Sox || 5–13 || Buehrle || Marqus || || 37,897 || 42–28|- style="background-color:#ffbbbb"| 71 || June 22 || @ White Sox || 0–1 || Garcia || Reyes || Jenks || 39,509 || 42–29|- style="background-color:#ffbbbb"| 72 || June 23 || @ Tigers || 6–10 || Verlander || Carpenter || || 42,238 || 42–30|- style="background-color:#ffbbbb"| 73 || June 24 || @ Tigers || 6–7(10) || Zumaya || Johnson || || 42,535 || 42–31|- style="background-color:#ffbbbb"| 74 || June 25 || @ Tigers || 1–4 || Ledezma || Ponson || Jones || 40,644 || 42–32|- style="background-color:#ffbbbb"| 75 || June 26 || Indians || 3–10 || Lee || Marquis ||  || 44,659 || 42–33|- style="background-color:#ffbbbb"| 76 || June 27 || Indians || 1–3 || Sabathia || Reyes || Wickman || 44,446 || 42–34|- style="background-color:#bbffbb"| 77 || June 28 || Indians || 5–4 || Isringhausen || Wickman || || 44,628 || 43–34|- style="background-color:#ffbbbb"| 78 || June 30 || Royals || 5–7(10) || Burgos || Looper || || 45,884 || 43–35|- style="background-color:#ffbbbb"| 79 || July 1 || Royals || 7–8(11) || Hudson || Isringhausen || || 45,035 || 43–36|- style="background-color:#bbffbb"| 80 || July 2 || Royals || 9–7 || Marquis || Wood || || 45,400 || 44–36|- style="background-color:#ffbbbb"| 81 || July 3 || @ Braves || 3–6 || Smoltz || Reyes || Sosa  || 40,011 || 44–37|- style="background-color:#bbffbb"| 82 || July 4 || @ Braves || 6–3 || Carpenter || Thomson || Isringhausen || 47,514 || 45–37|- style="background-color:#ffbbbb"| 83 || July 5 || @ Braves || 4–14 || James || Suppan || || 28,705 || 45–38|- style="background-color:#ffbbbb"| 84 || July 6 || @ Astros || 2–4 || Buchholz || Ponson || Lidge || 41,528 || 45–39|- style="background-color:#bbffbb"| 85 || July 7 || @ Astros || 8–2 || Marquis || Rodriguez || Isringhausen || 43,236 || 46–39|- style="background-color:#bbffbb"| 86 || July 8 || @ Astros || 7–6(10) || Isringhausen || Oswalt || || 43,424 || 47–39|- style="background-color:#bbffbb"| 87 || July 9 || @ Astros || 7–5(12) || Looper || Lidge || Hancock || 41,652 || 48–39|- style="background-color:#bbffbb"| 88 || July 13 || Dodgers || 3–2(14) || Looper || Perez|| || 45,156 || 49–39|- style="background-color:#bbffbb"| 89 || July 14 || Dodgers || 5–0 || Carpenter || Lowe || || 45,704 || 50–39|- style="background-color:#bbffbb"| 90 || July 15 || Dodgers || 2–1(10) || Looper || Baez || || 46,068 || 51–39|- style="background-color:#bbffbb"| 91 || July 16 || Dodgers || 11–3 || Reyes || Penny || || 44,741 || 52–39|- style="background-color:#ffbbbb"| 92 || July 17 || Braves || 3–15 || Ramirez || Weaver || || 44,507 || 52–40|- style="background-color:#ffbbbb"| 93 || July 18 || Braves || 5–14 || Hudson || Marquis || || 44,718 || 52–41|- style="background-color:#bbffbb"| 94 || July 19 || Braves || 8–3 || Carpenter || Shiell || || 43,991 || 53–41|- style="background-color:#bbffbb"| 95 || July 21 || @ Dodgers || 2–0 || Suppan || Penny || Isringhausen || 47,987 || 54–41|- style="background-color:#bbffbb"| 96 || July 22 || @ Dodgers || 6–1 || Weaver || Sele || || 50,438 || 55–41|- style="background-color:#bbffbb"| 97 || July 23 || @ Dodgers || 6–1 || Marquis || Billingsley || || 43,650 || 56–41|- style="background-color:#ffbbbb"| 98 || July 24 || @ Rockies || 0–7 || Francis || Reyes || || 28,830 || 56–42|- style="background-color:#bbffbb"| 99 || July 25 || @ Rockies || 1–0 || Carpenter || Jennings || Isringhausen || 31,673 || 57–42|- style="background-color:#bbffbb"| 100 || July 26 || @ Rockies || 6–1 || Suppan || Cook || || 32,872 || 58–42|- style="background-color:#ffbbbb"| 101 || July 27|| @ Cubs || 4–5 || Novoa || Johnson || Dempster || 40,346 || 58–43|- style="background-color:#ffbbbb"| 102 || July 28 || @ Cubs || 5–6 || Marmol || Marquis || Dempster || 40,420 || 58–44|- style="background-color:#ffbbbb"| 103 || July 29 || @ Cubs || 2–4 || Maddux || Reyes|| Dempster || 41,302 || 58–45|- style="background-color:#ffbbbb"| 104 || July 30 || @ Cubs || 3–6 || Zambrano || Carpenter || || 40,033 || 58–46|- style="background-color:#ffbbbb"| 105 || August 1 || Phillies || 3–5 || Mathieson || Suppan || Gordon || 42773 || 58–47|- style="background-color:#ffbbbb"| 106 || August 2 || Phillies || 8–16 || Myers || Weaver || || 42,598 || 58–48|- style="background-color:#ffbbbb"| 107 || August 3 || Phillies || 1–8 || Hamels || Marquis || || 42,461 || 58–49|- style="background-color:#ffbbbb"| 108 || August 4 || Brewers || 3–4 || Davis || Carpenter || Cordero || 43,162 || 58–50|- style="background-color:#bbffbb"| 109 || August 5 || Brewers || 4–3 || Reyes || Sheets || Isringhausen || 43,299 || 59–50|- style="background-color:#bbffbb"| 110 || August 6 || Brewers || 7–1 || Suppan || Capuano || Sosa || 43,140 || 60–50|- style="background-color:#bbffbb"| 111 || August 7 || @ Reds || 13–1 || Weaver || Ramirez || || 34,262 || 61–50|- style="background-color:#ffbbbb"| 112 || August 8 || @ Reds || 3–10 || Milton || Marquis || || 40,094 || 61–51|- style="background-color:#ffbbbb"| 113 || August 9 || @ Reds || 7–8 || Franklin || Isringhausen || || 41,649 || 61–52|- style="background-color:#bbffbb"| 114 || August 10 || @ Reds || 6–1 || Reyes || Arroyo || || 39,591 || 62–52|- style="background-color:#ffbbbb"| 115 || August 11 || @ Pirates || 1–7 || Duke || Suppan || || 30,516 || 62–53|- style="background-color:#ffbbbb"| 116 || August 12 || @ Pirates || 2–3 || Snell || Weaver || Gonzalez || 35,037 || 62–54|- style="background-color:#ffbbbb"| 117 || August 13 || @ Pirates || 0–7 || Maholm || Marquis|| || 27,101 || 62–55|- style="background-color:#bbffbb"| 118 || August 15 || Reds || 5–0 || Carpenter || Harang || || 42,761 || 63–55|- style="background-color:#ffbbbb"| 119 || August 16 || Reds || 2–7 || Arroyo || Reyes || || 42,752 || 63–56|- style="background-color:#bbffbb"| 120 || August 17 || Reds || 2–1 || Isringhausen || Franklin || || 40,346 || 64–56|- style="background-color:#bbffbb"| 121 || August 18 || @ Cubs || 11–3 || Marquis || Marmol || || 40,346 || 65–56|- style="background-color:#ffbbbb"| 122 || August 19 || @ Cubs || 4–5(10) || Wuertz || Isringhausen || || 40,864 || 65–57|- style="background-color:#bbffbb"| 123 || August 20 || @ Cubs || 5–3 || Carpenter || Mateo || Isringhausen || 40,485 || 66–57|- style="background-color:#ffbbbb"| 124 || August 22 || @ Mets || 7–8 || Heilman || Isringhausen || || 49,661 || 66–58|- style="background-color:#ffbbbb"| 125 || August 23 || @ Mets || 8–10 || Trachsel || Mulder || Wagner || 49,329 || 66–59|- style="background-color:#ffbbbb"| 126 || August 24 || @ Mets || 2–6 || Williams || Marquis || || 45,497 || 66–60|- style="background-color:#bbffbb"| 127 || August 25|| Cubs || 2–0 || Suppan || Mateo || Isringhausen || 46,004 || 67–60|- style="background-color:#bbffbb"| 128 || August 26 || Cubs || 2–1 || Flores || Novoa || || 46,036 || 68–60|- style="background-color:#bbffbb"| 129 || August 27 || Cubs || 10–6 || Looper || Howry || || 44,937|| 69–60|- style="background-color:#ffbbbb"| 130 || August 29 || Marlins || 1–9 || Olsen || Mulder|| || 40,663 || 69–61|- style="background-color:#bbffbb"| 131 || August 30 || Marlins || 13–6 || Marquis || Nolasco || || 41,322 || 70–61|- style="background-color:#bbffbb"| 132 || August 31 || Marlins || 5–2 || Looper || Mitre || Isringhausen || 40,989 || 71–61|- style="background-color:#bbffbb"| 133 || September 1 || Pirates || 3–1 || Carpenter || Duke || || 42,091 || 72–61|- style="background-color:#ffbbbb"| 134 || September 2 || Pirates || 0–1 || Capps || Weaver || Torres || 41,466 || 72–62|- style="background-color:#bbffbb"| 135 || September 3 || Pirates || 6–3 || Reyes || Snell || || 42,205 || 73–62|- style="background-color:#ffbbbb"| 136 || September 4 || @ Nationals || 1–4 || Ortiz || Marquis || || 31,092 || 73–63|- style="background-color:#bbffbb"| 137 || September 5 || @ Nationals || 2–0 || Suppan || Astacio || Isringhausen || 25,937 || 74–63|- style="background-color:#ffbbbb"| 138 || September 6 || @ Nationals || 6–7 || Cordero || Isringhausen || || 21,322 || 74–64|- style="background-color:#bbffbb"| 139 || September 7 || @ Diamondbacks || 6–2|| Weaver || Batista || || 29,998 || 75–64|- style="background-color:#ffbbbb"| 140 || September 8 || @ Diamondbacks || 1–13 || L. Hernandez || Reyes || || 25,229 || 75–65|- style="background-color:#ffbbbb"| 141 || September 9 || @ Diamondbacks || 0–3 || Webb || Marquis || || 33,619 || 75–66|- style="background-color:#ffbbbb"| 142 || September 10 || @ Diamondbacks || 7–9 || Vizcaino || Sosa || Valverde || 25,381 || 75–67|- style="background-color:#bbffbb"| 143 || September 11 || Astros || 7–0 || Carpenter || Buchholz || || 41,061 || 76–67|- style="background-color:#bbffbb"| 144 || September 12 || Astros || 6–5 || Looper || Lidge || || 41,453 || 77–67|- style="background-color:#ffbbbb"| 145 || September 13 || Astros || 1–5 || Oswalt || Marquis|| Wheeler || 40,459 || 77–68|- style="background-color:#bbffbb"| 146 || September 15 || Giants || 14–4 || Suppan || Hennessey || || 45,927 || 78–68|- style="background-color:#bbffbb"| 147 || September 16 || Giants || 6–1 || Carpenter || Morris || || 45,445 || 79–68|- style="background-color:#bbbbbb"| – || September 17 || Giants || colspan=5|Postponed || 79–68|- style="background-color:#ffbbbb"| 148 || September 18 || @ Brewers || 3–4 || Cordero || Looper || || 19,360 || 79–69|- style="background-color:#bbffbb"| 149 || September 19 || @ Brewers || 12–2 || Weaver || Sheets || || 15,204 || 80–69|- style="background-color:#ffbbbb"| 150 || September 20 || @ Brewers || 0–1 || Cordero || Johnson || || 14,242 || 80–70|- style="background-color:#ffbbbb"| 151 || September 21 || @ Astros || 5–6 || Borkowski || Carpenter || Wheeler || 32,975 || 80–71|- style="background-color:#ffbbbb"| 152 || September 22 || @ Astros || 5–6 || Qualls || Looper || || 39,616 || 80–72|- style="background-color:#ffbbbb"| 153 || September 23 || @ Astros || 4–7 || Wheeler || Johnson || || 43,469 || 80–73|- style="background-color:#ffbbbb"| 154 || September 24|| @ Astros || 3–7 || Qualls || Hancock || || 43,704 || 80–74|- style="background-color:#ffbbbb"| 155 || September 25 || Padres || 5–6 || Cassidy || Thompson || Linebrink || 40,149 || 80–75|- style="background-color:#ffbbbb"| 156 || September 26 || Padres || 5–7 || Williams || Carpenter || Hoffman || 40,443 || 80–76|- style="background-color:#bbffbb"| 157 || September 27 || Padres || 4–2 || Johnson || Linebrink || Wainwright || 40,358 || 81–76|- style="background-color:#ffbbbb"| 158 || September 28 || Brewers || 4–9 || Davis || Marquis || || 40,313 || 81–77|- style="background-color:#bbffbb"| 159 || September 29 || Brewers || 10–5 || Weaver || Capuano || || 41,718 || 82–77|- style="background-color:#bbffbb"| 160 || September 30 || Brewers || 3–2 || Johnson || Shouse || Wainwright || 44,294 || 83–77|- style="background-color:#ffbbbb"| 161 || October 1 || Brewers || 3–5 || Villanueva || Reyes || || 44,133 || 83–78

text: Phillies

text: || 13–5 || Carpenter || Lieber || || 44,614 || 1–0|- style="background-color:#bbffbb"| 2 || April 5 || @

text: Phillies

text: || 4–3 || Thompson || Gordon ||Isringhausen  || 20,557 || 2–0|- style="background-color:#bbffbb"| 3 || April 6 || @

text: Phillies

text: || 4–2 || Marquis || Lidle || Isringhausen  || 20,413 || 3–0|- style="background-color:#ffbbbb"| 4 || April 7 || @

text: Cubs

text: || 1–5 || Maddux || Suppan ||  || 40,869 || 3–1|- style="background-color:#ffbbbb"| 5 || April 8 || @

text: Cubs

text: || 2–3 || Howry || Thompson || Dempster || 40,182 || 3–2|- style="background-color:#ffbbbb"| 6 || April 9 || @

text: Cubs

text: || 4–8 || Williamson || Isringhausen || || 39,839 || 3–3|- style="background-color:#bbffbb"| 7 || April 10 ||

text: Brewers

text: || 6–4 || Mulder || Ohka || Isringhausen || 41,936 || 4–3|- style="background-color:#bbffbb"| 8 || April 12 ||

text: Brewers

text: || 8–3 || Marquis || Bush || || 40,648 || 5–3|- style="background-color:#ffbbbb"| 9 || April 13 ||

text: Brewers

text: || 3–4(11) || de la Rosa || Isringhausen || Turnbow || 40,222 || 5–4|- style="background-color:#ffbbbb"| 10 || April 14 ||

text: Reds

text: || 0–1 || Harang || Carpenter || Weathers || 40,901 || 5–5|- style="background-color:#bbffbb"| 11 || April 15 ||

text: Reds

text: || 9–3 || Ponson || Williams || || 40,752 || 6–5|- style="background-color:#bbffbb"| 12 || April 16 ||

text: Reds

text: || 8–7 || Looper || Weathers || || 40,068 || 7–5|- style="background-color:#bbffbb"| 13 || April 17 || @

text: Pirates

text: || 2–1 || Marquis || Maholm || Isringhausen || 15,278 || 8–5|- style="background-color:#ffbbbb"| 14 || April 18 || @

text: Pirates

text: || 4–12 || Ol. Perez || Suppan || || 16,682 || 8–6|- style="background-color:#bbffbb"| 15 || April 19 || @

text: Pirates

text: || 4–0 || Carpenter || Santos || || 15,085 || 9–6|- style="background-color:#bbffbb"| 16 || April 21 ||

text: Cubs

text: || 9–3 || Mulder || Williams || || 41,379 || 10–6|- style="background-color:#bbffbb"| 17 || April 22 ||

text: Cubs

text: || 4–1 || Ponson || Rusch || Isringhausen || 41,424 || 11–6|- style="background-color:#ffbbbb"| 18 || April 23 ||

text: Cubs

text: || 3–7 || Maddux || Marquis || || 41,373 || 11–7|- style="background-color:#bbffbb"| 19 || April 24 ||

text: Pirates

text: || 7–2 || Carpenter || Ol. Perez || || 38,953 || 12–7|- style="background-color:#bbffbb"| 20 || April 25 ||

text: Pirates

text: || 6–3 || Suppan || Santos || Isringhausen || 38,809 || 13–7|- style="background-color:#bbffbb"| 21 || April 26 ||

text: Pirates

text: || 4–3 || Isringhausen || R. Hernandez ||  || 38,728 || 14–7|- style="background-color:#bbffbb"| 22 || April 27 ||

text: Nationals

text: || 6–2 || Ponson || O'Connor ||  || 39,515 || 15–7|- style="background-color:#ffbbbb"| 23 || April 28 ||

text: Nationals

text: || 3–8 || Armas || Marquis ||  || 40,841 || 15–8|- style="background-color:#bbffbb"| 24 || April 29 ||

text: Nationals

text: || 2–1 || Looper || Rauch|| Isringhausen || 39,596 || 16–8|- style="background-color:#bbffbb"| 25 || April 30 ||

text: Nationals

text: || 9–2 || Suppan || Day || || 39,383 || 17–8|- style="background-color:#ffbbbb"| 26 || May 1 || @

text: Reds

text: || 1–6 || Arroyo || Mulder || || 20,900 || 17–9|- style="background-color:#ffbbbb"| 27 || May 2 || @

text: Reds

text: || 2–3 || Coffey || Falkenborg || || 25,127 || 17–10|- style="background-color:#ffbbbb"| 28 || May 3 || @

text: Astros

text: || 4–5 || Oswalt || Marquis || Lidge  || 37,305 || 17–11|- style="background-color:#ffbbbb"| 29 || May 4 || @

text: Astros

text: || 3–4 || Pettitte || Carpenter || Lidge || 37,290 || 17–12|- style="background-color:#bbffbb"| 30 || May 5 || @

text: Marlins

text: || 7–2 || Suppan || Mitre || || 13,266 || 18–12|- style="background-color:#bbffbb"| 31 || May 6 || @

text: Marlins

text: || 7–6 || Mulder || Willis || Isringhausen || 14,369 || 19–12|- style="background-color:#bbffbb"| 32 || May 7 || @

text: Marlins

text: || 9–1 || Hancock || Olsen || || 13,057 || 20–12|- style="background-color:#ffbbbb"| 33 || May 8 ||

text: Rockies

text: || 2–6 || Francis || Marquis || Fuentes || 39,007 || 20–13|- style="background-color:#bbffbb"| 34 || May 9 ||

text: Rockies

text: || 4–2 || Wainwright || Mesa || Isringhausen || 40,375 || 21–13|- style="background-color:#bbffbb"| 35 || May 10 ||

text: Rockies

text: || 7–4 || Suppan || B. Kim || Isringhausen || 39,108 || 22–13|- style="background-color:#bbffbb"| 36 || May 12 ||

text: Diamondbacks

text: || 5–3 || Mulder || Cruz || Isringhausen || 41,085 || 23–13|- style="background-color:#bbffbb"| 37 || May 13 ||

text: Diamondbacks

text: || 9–1 || Marquis || Vargas || || 40,585 || 24–13|- style="background-color:#ffbbbb"| 38 || May 14 ||

text: Diamondbacks

text: || 6–7 || Vizcaino || Wainwright || Valverde || 40,891|| 24–14|- style="background-color:#ffbbbb"| 39 || May 16 ||

text: Mets

text: || 3–8 || Glavine || Suppan || || 39,616 || 24–15|- style="background-color:#bbffbb"| 40 || May 17 ||

text: Mets

text: || 1–0 || Mulder || Trachsel || Isringhausen || 40,573 || 25–15|- style="background-color:#bbffbb"| 41 || May 18 ||

text: Mets

text: || 6–3 || Marquis || Lima || Isringhausen || 40,573 || 26–15|- style="background-color:#bbffbb"| 42 || May 19 || @

text: Royals

text: || 9–6 || Carpenter || Redman || Wainwright || 33,045 || 27–15|- style="background-color:#bbffbb"| 43 || May 20 || @

text: Royals

text: || 4–2 || Reyes || Bautista || Isringhausen || 40,516 || 28–15|- style="background-color:#bbffbb"| 44 || May 21 || @

text: Royals

text: || 10–3 || Suppan || Elarton || || 30,266 || 29–15|- style="background-color:#ffbbbb"| 45 || May 22 || @

text: Giants

text: || 2–9 || Wright || Mulder || || 38,133 || 29–16|- style="background-color:#bbffbb"| 46 || May 23 || @

text: Giants

text: || 8–5 || Marquis || Morris || Isringhausen || 37,986 || 30–16|- style="background-color:#bbffbb"| 47 || May 24 || @

text: Giants

text: || 10–4 || Wainwright || Lowry ||  || 37,752 || 31–16|- style="background-color:#ffbbbb"| 48 || May 26 || @

text: Padres

text: || 1–7 || Hensley || Suppan ||  || 40,075 || 31–17|- style="background-color:#bbffbb"| 49 || May 27 || @

text: Padres

text: || 4–3 || Ponson || Park || Isringhausen || 32,722 || 32–17|- style="background-color:#ffbbbb"| 50 || May 28 || @

text: Padres

text: || 8–10 || Peavy|| Mulder || Hoffman || 38,145 || 32–18|- style="background-color:#bbffbb"| 51 || May 29 ||

text: Astros

text: || 3–1 || Marquis || Miller || Isringhausen || 45,509 || 33–18|- style="background-color:#ffbbbb"| 52 || May 30 ||

text: Astros

text: || 3–6 || Pettitte || Hancock || Lidge || 44,732 || 33–19|- style="background-color:#bbffbb"| 53 || May 31 ||

text: Astros

text: || 4–3(11) || Looper || Gallo || || 43,534 || 34–19|- style="background-color:#ffbbbb"| 54 || June 2 ||

text: Cubs

text: || 4–5(14) || Dempster || Hancock || || 45,799 || 34–20|- style="background-color:#ffbbbb"| 55 || June 3 ||

text: Cubs

text: || 5–8 || Rusch || Mulder || Howry || 45,820 || 34–21|- style="background-color:#bbffbb"| 56 || June 4 ||

text: Cubs

text: || 9–6 || Marquis || Maddux || Isringhausen  || 45,753 || 35–21|- style="background-color:#ffbbbb"| 57 || June 5 ||

text: Reds

text: || 7–8 || Yan || Isringhausen || Coffey || 43,707 || 35–22|- style="background-color:#ffbbbb"| 58 || June 6 ||

text: Reds

text: || 0–7 || Milton || Carpenter || || 43,857 || 35–23|- style="background-color:#ffbbbb"| 59 || June 7 ||

text: Reds

text: || 4–7 || Harang || Ponson || Coffey || 44,306 || 35–24|- style="background-color:#bbffbb"| 60 || June 9 || @

text: Brewers

text: || 10–6 || Hancock || Winkelsas || Isringhausen || 24,490 || 36–24|- style="background-color:#ffbbbb"| 61 || June 10 ||@

text: Brewers

text: || 3–4 || Wise || Flores || Turnbow || 36,981 || 36–25|- style="background-color:#bbffbb"| 62 || June 11 || @

text: Brewers

text: || 7–5 || Hancock || Bush || Isringhausen || 29,122 || 37–25|- style="background-color:#bbffbb"| 63 || June 13 || @

text: Pirates

text: || 2–1 || Carpenter || Ol. Perez|| Isringhausen || 24,443 || 38–25|- style="background-color:#ffbbbb"| 64 || June 14 || @

text: Pirates

text: || 7–9 || Duke || Ponson || Gonzalez || 20,289 || 38–26|- style="background-color:#bbffbb"| 65 || June 15 || @

text: Pirates

text: || 6–5 || Mulder || Santos || Isringhausen || 18,248 || 39–26|- style="background-color:#bbffbb"| 66 || June 16 ||

text: Rockies

text: || 8–1 || Marquis || Cook || || 45,736 || 40–26|- style="background-color:#bbffbb"| 67 || June 17 ||

text: Rockies

text: || 6–5 || Suppan || Francis || Isringhausen || 45,968 || 41–26|- style="background-color:#bbffbb"| 68 || June 18 ||

text: Rockies

text: || 4–1 || Carpenter || Fogg || Isringhausen || 45,647 || 42–26|- style="background-color:#ffbbbb"| 69 || June 20 || @

text: White Sox

text: || 6–20 || Vazquez || Mulder || || 39,463 || 42–27|- style="background-color:#ffbbbb"| 70 || June 21 || @

text: White Sox

text: || 5–13 || Buehrle || Marqus || || 37,897 || 42–28|- style="background-color:#ffbbbb"| 71 || June 22 || @

text: White Sox

text: || 0–1 || Garcia || Reyes || Jenks || 39,509 || 42–29|- style="background-color:#ffbbbb"| 72 || June 23 || @

text: Tigers

text: || 6–10 || Verlander || Carpenter || || 42,238 || 42–30|- style="background-color:#ffbbbb"| 73 || June 24 || @

text: Tigers

text: || 6–7(10) || Zumaya || Johnson || || 42,535 || 42–31|- style="background-color:#ffbbbb"| 74 || June 25 || @

text: Tigers

text: || 1–4 || Ledezma || Ponson || Jones || 40,644 || 42–32|- style="background-color:#ffbbbb"| 75 || June 26 ||

text: Indians

text: || 3–10 || Lee || Marquis ||  || 44,659 || 42–33|- style="background-color:#ffbbbb"| 76 || June 27 ||

text: Indians

text: || 1–3 || Sabathia || Reyes || Wickman || 44,446 || 42–34|- style="background-color:#bbffbb"| 77 || June 28 ||

text: Indians

text: || 5–4 || Isringhausen || Wickman || || 44,628 || 43–34|- style="background-color:#ffbbbb"| 78 || June 30 ||

text: Royals

text: || 5–7(10) || Burgos || Looper || || 45,884 || 43–35|- style="background-color:#ffbbbb"| 79 || July 1 ||

text: Royals

text: || 7–8(11) || Hudson || Isringhausen || || 45,035 || 43–36|- style="background-color:#bbffbb"| 80 || July 2 ||

text: Royals

text: || 9–7 || Marquis || Wood || || 45,400 || 44–36|- style="background-color:#ffbbbb"| 81 || July 3 || @

text: Braves

text: || 3–6 || Smoltz || Reyes || Sosa  || 40,011 || 44–37|- style="background-color:#bbffbb"| 82 || July 4 || @

text: Braves

text: || 6–3 || Carpenter || Thomson || Isringhausen || 47,514 || 45–37|- style="background-color:#ffbbbb"| 83 || July 5 || @

text: Braves

text: || 4–14 || James || Suppan || || 28,705 || 45–38|- style="background-color:#ffbbbb"| 84 || July 6 || @

text: Astros

text: || 2–4 || Buchholz || Ponson || Lidge || 41,528 || 45–39|- style="background-color:#bbffbb"| 85 || July 7 || @

text: Astros

text: || 8–2 || Marquis || Rodriguez || Isringhausen || 43,236 || 46–39|- style="background-color:#bbffbb"| 86 || July 8 || @

text: Astros

text: || 7–6(10) || Isringhausen || Oswalt || || 43,424 || 47–39|- style="background-color:#bbffbb"| 87 || July 9 || @

text: Astros

text: || 7–5(12) || Looper || Lidge || Hancock || 41,652 || 48–39|- style="background-color:#bbffbb"| 88 || July 13 ||

text: Dodgers

text: || 3–2(14) || Looper || Perez|| || 45,156 || 49–39|- style="background-color:#bbffbb"| 89 || July 14 ||

text: Dodgers

text: || 5–0 || Carpenter || Lowe || || 45,704 || 50–39|- style="background-color:#bbffbb"| 90 || July 15 ||

text: Dodgers

text: || 2–1(10) || Looper || Baez || || 46,068 || 51–39|- style="background-color:#bbffbb"| 91 || July 16 ||

text: Dodgers

text: || 11–3 || Reyes || Penny || || 44,741 || 52–39|- style="background-color:#ffbbbb"| 92 || July 17 ||

text: Braves

text: || 3–15 || Ramirez || Weaver || || 44,507 || 52–40|- style="background-color:#ffbbbb"| 93 || July 18 ||

text: Braves

text: || 5–14 || Hudson || Marquis || || 44,718 || 52–41|- style="background-color:#bbffbb"| 94 || July 19 ||

text: Braves

text: || 8–3 || Carpenter || Shiell || || 43,991 || 53–41|- style="background-color:#bbffbb"| 95 || July 21 || @

text: Dodgers

text: || 2–0 || Suppan || Penny || Isringhausen || 47,987 || 54–41|- style="background-color:#bbffbb"| 96 || July 22 || @

text: Dodgers

text: || 6–1 || Weaver || Sele || || 50,438 || 55–41|- style="background-color:#bbffbb"| 97 || July 23 || @

text: Dodgers

text: || 6–1 || Marquis || Billingsley || || 43,650 || 56–41|- style="background-color:#ffbbbb"| 98 || July 24 || @

text: Rockies

text: || 0–7 || Francis || Reyes || || 28,830 || 56–42|- style="background-color:#bbffbb"| 99 || July 25 || @

text: Rockies

text: || 1–0 || Carpenter || Jennings || Isringhausen || 31,673 || 57–42|- style="background-color:#bbffbb"| 100 || July 26 || @

text: Rockies

text: || 6–1 || Suppan || Cook || || 32,872 || 58–42|- style="background-color:#ffbbbb"| 101 || July 27|| @

text: Cubs

text: || 4–5 || Novoa || Johnson || Dempster || 40,346 || 58–43|- style="background-color:#ffbbbb"| 102 || July 28 || @

text: Cubs

text: || 5–6 || Marmol || Marquis || Dempster || 40,420 || 58–44|- style="background-color:#ffbbbb"| 103 || July 29 || @

text: Cubs

text: || 2–4 || Maddux || Reyes|| Dempster || 41,302 || 58–45|- style="background-color:#ffbbbb"| 104 || July 30 || @

text: Cubs

text: || 3–6 || Zambrano || Carpenter || || 40,033 || 58–46|- style="background-color:#ffbbbb"| 105 || August 1 ||

text: Phillies

text: || 3–5 || Mathieson || Suppan || Gordon || 42773 || 58–47|- style="background-color:#ffbbbb"| 106 || August 2 ||

text: Phillies

text: || 8–16 || Myers || Weaver || || 42,598 || 58–48|- style="background-color:#ffbbbb"| 107 || August 3 ||

text: Phillies

text: || 1–8 || Hamels || Marquis || || 42,461 || 58–49|- style="background-color:#ffbbbb"| 108 || August 4 ||

text: Brewers

text: || 3–4 || Davis || Carpenter || Cordero || 43,162 || 58–50|- style="background-color:#bbffbb"| 109 || August 5 ||

text: Brewers

text: || 4–3 || Reyes || Sheets || Isringhausen || 43,299 || 59–50|- style="background-color:#bbffbb"| 110 || August 6 ||

text: Brewers

text: || 7–1 || Suppan || Capuano || Sosa || 43,140 || 60–50|- style="background-color:#bbffbb"| 111 || August 7 || @

text: Reds

text: || 13–1 || Weaver || Ramirez || || 34,262 || 61–50|- style="background-color:#ffbbbb"| 112 || August 8 || @

text: Reds

text: || 3–10 || Milton || Marquis || || 40,094 || 61–51|- style="background-color:#ffbbbb"| 113 || August 9 || @

text: Reds

text: || 7–8 || Franklin || Isringhausen || || 41,649 || 61–52|- style="background-color:#bbffbb"| 114 || August 10 || @

text: Reds

text: || 6–1 || Reyes || Arroyo || || 39,591 || 62–52|- style="background-color:#ffbbbb"| 115 || August 11 || @

text: Pirates

text: || 1–7 || Duke || Suppan || || 30,516 || 62–53|- style="background-color:#ffbbbb"| 116 || August 12 || @

text: Pirates

text: || 2–3 || Snell || Weaver || Gonzalez || 35,037 || 62–54|- style="background-color:#ffbbbb"| 117 || August 13 || @

text: Pirates

text: || 0–7 || Maholm || Marquis|| || 27,101 || 62–55|- style="background-color:#bbffbb"| 118 || August 15 ||

text: Reds

text: || 5–0 || Carpenter || Harang || || 42,761 || 63–55|- style="background-color:#ffbbbb"| 119 || August 16 ||

text: Reds

text: || 2–7 || Arroyo || Reyes || || 42,752 || 63–56|- style="background-color:#bbffbb"| 120 || August 17 ||

text: Reds

text: || 2–1 || Isringhausen || Franklin || || 40,346 || 64–56|- style="background-color:#bbffbb"| 121 || August 18 || @

text: Cubs

text: || 11–3 || Marquis || Marmol || || 40,346 || 65–56|- style="background-color:#ffbbbb"| 122 || August 19 || @

text: Cubs

text: || 4–5(10) || Wuertz || Isringhausen || || 40,864 || 65–57|- style="background-color:#bbffbb"| 123 || August 20 || @

text: Cubs

text: || 5–3 || Carpenter || Mateo || Isringhausen || 40,485 || 66–57|- style="background-color:#ffbbbb"| 124 || August 22 || @

text: Mets

text: || 7–8 || Heilman || Isringhausen || || 49,661 || 66–58|- style="background-color:#ffbbbb"| 125 || August 23 || @

text: Mets

text: || 8–10 || Trachsel || Mulder || Wagner || 49,329 || 66–59|- style="background-color:#ffbbbb"| 126 || August 24 || @

text: Mets

text: || 2–6 || Williams || Marquis || || 45,497 || 66–60|- style="background-color:#bbffbb"| 127 || August 25||

text: Cubs

text: || 2–0 || Suppan || Mateo || Isringhausen || 46,004 || 67–60|- style="background-color:#bbffbb"| 128 || August 26 ||

text: Cubs

text: || 2–1 || Flores || Novoa || || 46,036 || 68–60|- style="background-color:#bbffbb"| 129 || August 27 ||

text: Cubs

text: || 10–6 || Looper || Howry || || 44,937|| 69–60|- style="background-color:#ffbbbb"| 130 || August 29 ||

text: Marlins

text: || 1–9 || Olsen || Mulder|| || 40,663 || 69–61|- style="background-color:#bbffbb"| 131 || August 30 ||

text: Marlins

text: || 13–6 || Marquis || Nolasco || || 41,322 || 70–61|- style="background-color:#bbffbb"| 132 || August 31 ||

text: Marlins

text: || 5–2 || Looper || Mitre || Isringhausen || 40,989 || 71–61|- style="background-color:#bbffbb"| 133 || September 1 ||

text: Pirates

text: || 3–1 || Carpenter || Duke || || 42,091 || 72–61|- style="background-color:#ffbbbb"| 134 || September 2 ||

text: Pirates

text: || 0–1 || Capps || Weaver || Torres || 41,466 || 72–62|- style="background-color:#bbffbb"| 135 || September 3 ||

text: Pirates

text: || 6–3 || Reyes || Snell || || 42,205 || 73–62|- style="background-color:#ffbbbb"| 136 || September 4 || @

text: Nationals

text: || 1–4 || Ortiz || Marquis || || 31,092 || 73–63|- style="background-color:#bbffbb"| 137 || September 5 || @

text: Nationals

text: || 2–0 || Suppan || Astacio || Isringhausen || 25,937 || 74–63|- style="background-color:#ffbbbb"| 138 || September 6 || @

text: Nationals

text: || 6–7 || Cordero || Isringhausen || || 21,322 || 74–64|- style="background-color:#bbffbb"| 139 || September 7 || @

text: Diamondbacks

text: || 6–2|| Weaver || Batista || || 29,998 || 75–64|- style="background-color:#ffbbbb"| 140 || September 8 || @

text: Diamondbacks

text: || 1–13 || L. Hernandez || Reyes || || 25,229 || 75–65|- style="background-color:#ffbbbb"| 141 || September 9 || @

text: Diamondbacks

text: || 0–3 || Webb || Marquis || || 33,619 || 75–66|- style="background-color:#ffbbbb"| 142 || September 10 || @

text: Diamondbacks

text: || 7–9 || Vizcaino || Sosa || Valverde || 25,381 || 75–67|- style="background-color:#bbffbb"| 143 || September 11 ||

text: Astros

text: || 7–0 || Carpenter || Buchholz || || 41,061 || 76–67|- style="background-color:#bbffbb"| 144 || September 12 ||

text: Astros

text: || 6–5 || Looper || Lidge || || 41,453 || 77–67|- style="background-color:#ffbbbb"| 145 || September 13 ||

text: Astros

text: || 1–5 || Oswalt || Marquis|| Wheeler || 40,459 || 77–68|- style="background-color:#bbffbb"| 146 || September 15 ||

text: Giants

text: || 14–4 || Suppan || Hennessey || || 45,927 || 78–68|- style="background-color:#bbffbb"| 147 || September 16 ||

text: Giants

text: || 6–1 || Carpenter || Morris || || 45,445 || 79–68|- style="background-color:#bbbbbb"| – || September 17 ||

text: Giants

text: || colspan=5|Postponed || 79–68|- style="background-color:#ffbbbb"| 148 || September 18 || @

text: Brewers

text: || 3–4 || Cordero || Looper || || 19,360 || 79–69|- style="background-color:#bbffbb"| 149 || September 19 || @

text: Brewers

text: || 12–2 || Weaver || Sheets || || 15,204 || 80–69|- style="background-color:#ffbbbb"| 150 || September 20 || @

text: Brewers

text: || 0–1 || Cordero || Johnson || || 14,242 || 80–70|- style="background-color:#ffbbbb"| 151 || September 21 || @

text: Astros

text: || 5–6 || Borkowski || Carpenter || Wheeler || 32,975 || 80–71|- style="background-color:#ffbbbb"| 152 || September 22 || @

text: Astros

text: || 5–6 || Qualls || Looper || || 39,616 || 80–72|- style="background-color:#ffbbbb"| 153 || September 23 || @

text: Astros

text: || 4–7 || Wheeler || Johnson || || 43,469 || 80–73|- style="background-color:#ffbbbb"| 154 || September 24|| @

text: Astros

text: || 3–7 || Qualls || Hancock || || 43,704 || 80–74|- style="background-color:#ffbbbb"| 155 || September 25 ||

text: Padres

text: || 5–6 || Cassidy || Thompson || Linebrink || 40,149 || 80–75|- style="background-color:#ffbbbb"| 156 || September 26 ||

text: Padres

text: || 5–7 || Williams || Carpenter || Hoffman || 40,443 || 80–76|- style="background-color:#bbffbb"| 157 || September 27 ||

text: Padres

text: || 4–2 || Johnson || Linebrink || Wainwright || 40,358 || 81–76|- style="background-color:#ffbbbb"| 158 || September 28 ||

text: Brewers

text: || 4–9 || Davis || Marquis || || 40,313 || 81–77|- style="background-color:#bbffbb"| 159 || September 29 ||

text: Brewers

text: || 10–5 || Weaver || Capuano || || 41,718 || 82–77|- style="background-color:#bbffbb"| 160 || September 30 ||

text: Brewers

text: || 3–2 || Johnson || Shouse || Wainwright || 44,294 || 83–77|- style="background-color:#ffbbbb"| 161 || October 1 ||

text: Brewers

text: || 3–5 || Villanueva || Reyes || || 44,133 || 83–78

text: And, when a colored object has both diffuse and specular reflection, usually only the diffuse component is colored. A cherry reflects diffusely red light, absorbs all other colors and has a specular reflection which is essentially white. This is quite general, because, except for metals, the reflectivity of most materials depends on their refraction index, which varies little with the wavelength (though it is this variation that causes the chromatic dispersion in a prism), so that all colors are reflected nearly with the same intensity. Reflections from different origin, instead, may be colored: metallic reflections, such as in gold or copper, or interferential reflections: iridescences, peacock feathers, butterfly wings, beetle elytra, or the antireflection coating of a lens.

text: And, when a colored object has both diffuse and specular reflection, usually only the diffuse component is colored. A cherry reflects diffusely red light, absorbs all other colors and has a specular reflection which is essentially white. This is quite general, because, except for metals, the reflectivity of most materials depends on their

text: refraction index

text: , which varies little with the wavelength (though it is this variation that causes the

text: chromatic dispersion

text: in a

text: prism

text: ), so that all colors are reflected nearly with the same intensity. Reflections from different origin, instead, may be colored: metallic reflections, such as in gold or copper, or

text: interferential

text: reflections:

text: iridescence

text: s, peacock feathers, butterfly wings, beetle

text: elytra

text: , or the

text: antireflection coating

text: of a lens.

text: For the rainy scenes at the park, the color palette was toned down, and pale green shading was used to match the gloomy, rainy weather, thereby increasing the detail and defining the characters. Matching the tones to the background and lighting helped highlight the characters' faces. According to Shinkai, a novel coloring method was chosen from other coloring methods following careful testing. The method involved integrating the coloring for each character with the background, a "new innovation of sorts" that mimics the refraction of light on the skin as seen in nature. This was accomplished by coloring the outline of the character, including the lines drawn for the separation of lit and shadowed surfaces, and then incorporating the background color onto the surface. Shinkai felt that this coloring method made the anime stand out from others.

text: For the rainy scenes at the park, the color palette was toned down, and pale green

text: shading

text: was used to match the gloomy, rainy weather, thereby increasing the detail and defining the characters. Matching the

text: tones

text: to the background and lighting helped highlight the characters' faces. According to Shinkai, a novel coloring method was chosen from other coloring methods following careful testing. The method involved integrating the coloring for each character with the background, a "new innovation of sorts" that mimics the refraction of light on the skin as seen in nature. This was accomplished by coloring the outline of the character, including the lines drawn for the separation of lit and shadowed surfaces, and then incorporating the background color onto the surface. Shinkai felt that this coloring method made the anime stand out from others.

text: In normal human vision, wavelengths of between about 400 nm and 700 nm are represented by this incomplete circle, with the longer wavelengths equating to the red end of the spectrum.  Complement colors are located directly opposite each other on this wheel.  These complement colors are not identical to colors in pigment mixing (such as are used in paint), but when lights are additively mixed in the correct proportions appear as a neutral grey or white.

text: Many materials selectively absorb certain wavelengths of light. Materials that humans have chosen and developed for use as pigments usually have special properties that make them ideal for coloring other materials. A pigment must have a high tinting strength relative to the materials it colors. It must be stable in solid form at ambient temperatures.

text: Many materials selectively absorb certain

text: wavelength

text: s of light. Materials that humans have chosen and developed for use as pigments usually have special properties that make them ideal for coloring other materials. A pigment must have a high

text: tint

text: ing strength relative to the materials it colors. It must be stable in solid form at ambient temperatures.

text: |-| | 9 || 0 || 9.9 || .310 || .286 || style="background:#000000;color:#FFFFFF;"| 1.000 || 3.4 || .3 || .2 || .2 || 2.6|-| | style="background:#000000;color:#FFFFFF;"| 14 || style="background:#000000;color:#FFFFFF;"| 14 || 23.3 || .400 || .375 || .850 || 4.7 || 1.4 || .7 || .2 || 6.4|-| | 7 || 0 || 6.0 || .538 || .000 || .833 || 1.1 || .1 || .0 || .0 || 2.7|-| | style="background:#000000;color:#FFFFFF;"| 14 || style="background:#000000;color:#FFFFFF;"| 14 || 34.4 || .402 || .235 || .826 || 4.2 || 2.3 || .9 || .2 || 15.5|-| | style="background:#000000;color:#FFFFFF;"| 14 || 0 || 15.1 || style="background:#000000;color:#FFFFFF;"| .654 || .000 || .727 || 4.4 || .6 || .2 || .3 || 3.0|-| | style="background:#000000;color:#FFFFFF;"| 14 || style="background:#000000;color:#FFFFFF;"| 14 || 35.5 || .614 || .000 || .519 || style="background:#000000;color:#FFFFFF;"| 11.1 || 1.4 || .8 || style="background:#000000;color:#FFFFFF;"| 3.5 || 18.1|-| | 1 || 0 || 5.0 || .500 || .000 || .000 || .0 || 2.0 || .0 || .0 || 2.0|-| | style="background:#000000;color:#FFFFFF;"| 14 || style="background:#000000;color:#FFFFFF;"| 14 || style="background:#000000;color:#FFFFFF;"| 36.6 || .462 || .373 || .800 || 5.6 || 2.3 || style="background:#000000;color:#FFFFFF;"| 1.1 || .7 || 12.9|-| | style="background:#000000;color:#FFFFFF;"| 14 || style="background:#000000;color:#FFFFFF;"| 14 || 34.2 || .479 || .393 || .823 || 3.6 || style="background:#000000;color:#FFFFFF;"| 4.8 || 1.0 || .0 || style="background:#000000;color:#FFFFFF;"| 19.0|-| | style="background:#000000;color:#FFFFFF;"| 14 || 0 || 20.1 || .438 || style="background:#000000;color:#FFFFFF;"| .459 || .667 || 1.4 || .7 || .6 || .4 || 8.4|-| | style="background:#000000;color:#FFFFFF;"| 14 || 0 || 19.2 || .423 || .429 || .857 || 1.7 || 1.4 || .7 || .0 || 7.5|-| | style="background:#000000;color:#FFFFFF;"| 14 || 0 || 13.7 || .342 || .250 || style="background:#000000;color:#FFFFFF;"| 1.000 || .8 || 1.6 || .3 || .0 || 2.6|}

text: Inverted spectrum is the hypothetical concept of two people sharing their color vocabulary and discriminations, although the colors one sees — one's qualia — are systematically different from the colors the other person sees.

text: Inverted spectrum is the

text: hypothetical

text: concept of two people sharing their

text: color

text: vocabulary and discriminations, although the colors one sees — one's

text: qualia

text: — are systematically different from the colors the other person sees.

text: |- align="center" bgcolor=""|  || style="background:#FF8800;color:#423189;" | 3 || style="background:#FF8800;color:#423189;" | 3 || 26.3 || .500 || . || .833 || 5.7 || 3.7 || style="background:#FF8800;color:#423189;" | 2.3 || .3 || 17.0|- align="center" bgcolor="#f0f0f0"|  || style="background:#FF8800;color:#423189;" | 3 || 0 || 18.7 || .280 || .000 || .750 || 1.0 || 2.3 || 1.7 || .0 || 6.7|- align="center" bgcolor=""|  || style="background:#FF8800;color:#423189;" | 3 || 0 || 18.3 || .474 || .000 || style="background:#FF8800;color:#423189;" | 1.000 || 0.7 || 3.0 || .0 || .0 || 7.3|- align="center" bgcolor="#f0f0f0"|  || style="background:#FF8800;color:#423189;" | 3 || style="background:#FF8800;color:#423189;" | 3 || 30.0 || style="background:#FF8800;color:#423189;" | .645 || . || .750 || 1.7 || style="background:#FF8800;color:#423189;" | 5.3 || .7 || .0 || 16.3|- align="center" bgcolor=""|  || 2 || 0 || 17.0 || .600 || . || style="background:#FF8800;color:#423189;" | 1.000 || 1.5 || 1.5 || .0 || style="background:#FF8800;color:#423189;" | 1.5 || 6.0|- align="center" bgcolor="#f0f0f0"|  || style="background:#FF8800;color:#423189;" | 3 || 0 || 28.0 || .468 || . || .789 || style="background:#FF8800;color:#423189;" | 11.0 || 3.3 || .7 || .7 || style="background:#FF8800;color:#423189;" | 19.7|- align="center" bgcolor=""|  || style="background:#FF8800;color:#423189;" | 3 || style="background:#FF8800;color:#423189;" | 3 || 28.3 || .500 || style="background:#FF8800;color:#423189;" | .250 || .800 || 2.7 || 3.0 || 2.0 || .0 || 10.3|- align="center" bgcolor="#f0f0f0"|  || style="background:#FF8800;color:#423189;" | 3 || style="background:#FF8800;color:#423189;" | 3 || 27.3 || .609 || . || .706 || 6.3 || 3.0 || .0 || 1.0 || 13.3|- align="center" bgcolor=""|  || style="background:#FF8800;color:#423189;" | 3 || style="background:#FF8800;color:#423189;" | 3 || style="background:#FF8800;color:#423189;" | 30.3 || .595 || . || .800 || 5.0 || 3.3 || 1.7 || .0 || 17.3|- align="center" bgcolor="#f0f0f0"|  || style="background:#FF8800;color:#423189;" | 3 || 0 || 21.3 || .250 || .000 || .833 || 2.7 || 3.3 || .3 || 1.3 || 3.7|}

text: Melanin is the main substance responsible for the color of the skin. Melanin is class of dark polymers generated by the body through the process of melanogenesis. Among the melanin pigmenting the skin and hair, 2 types can be distinguished based on its chemical composition and biological route of synthesis: the black/brown eumelanin and the red/yellow pheomelanin. The variation of skin color among individuals is mostly because of variation of the content of melanin in the skin. Skin with little or no melanin is almost white. Other factors influence skin color in a lesser degree, including the amount of blood in blood vessels (because of the color of blood), skin thickness and content of carotenoids in skin.

text: Melanin

text: is the main substance responsible for the color of the skin. Melanin is class of dark

text: polymer

text: s generated by the body through the process of

text: melanogenesis

text: . Among the melanin pigmenting the skin and hair, 2 types can be distinguished based on its chemical composition and biological route of synthesis: the black/brown

text: eumelanin

text: and the red/yellow

text: pheomelanin

text: . The variation of

text: skin color

text: among individuals is mostly because of variation of the content of melanin in the skin. Skin with little or no melanin is

text: almost white

text: . Other factors influence skin color in a lesser degree, including the amount of blood in blood vessels (because of the color of blood), skin thickness and content of

text: carotenoid

text: s in skin.

text: The color defined as green in the Munsell color system (Munsell 5G) is shown at right. The Munsell color system is a color space that specifies colors based on three color dimensions: hue, value (lightness), and chroma (color purity), spaced uniformly in three dimensions in the elongated oval at an angle shaped Munsell color solid according to the logarithmic scale which governs human perception. In order for all the colors to be spaced uniformly, it was found necessary to use a color wheel with five primary colors—red, yellow, green, blue and purple.

text: The color defined as green in the

text: Munsell color system

text: (Munsell 5G) is shown at right. The Munsell color system is a

text: color space

text: that specifies colors based on three color dimensions: hue, value (

text: lightness

text: ), and

text: chroma

text: color solid

text: according to the

text: logarithmic scale

text: which governs

text: human perception

text: . In order for all the colors to be spaced uniformly, it was found necessary to use a color wheel with five primary colors—red, yellow, green, blue and purple.

text: In photography and image processing, color balance is the global adjustment of the intensities of the colors (typically red, green, and blue primary colors).  An important goal of this adjustment is to render specific colors – particularly neutral colors – correctly. Hence, the general method is sometimes called gray balance, neutral balance, or white balance.  Color balance changes the overall mixture of colors in an image and is used for color correction. Generalized versions of color balance are used to correct colors other than neutrals or to deliberately change them for effect.

text: In

text: photography

text: and

text: image processing

text: , color balance is the global adjustment of the intensities of the colors (typically red, green, and blue

text: primary colors

text: ).  An important goal of this adjustment is to render specific colors – particularly neutral colors – correctly. Hence, the general method is sometimes called gray balance, neutral balance, or white balance.  Color balance changes the overall mixture of colors in an image and is used for

text: color correction

text: . Generalized versions of color balance are used to correct colors other than neutrals or to deliberately change them for effect.

text: colspan=2|Seat allocationaccording to The Doha Agreement!style="background-color:#E9E9E9" align=right|Total!style="background-color:#E9E9E9" align=right|Maronites!style="background-color:#E9E9E9" align=right|Shi'a!style="background-color:#E9E9E9" align=right|Sunni!style="background-color:#E9E9E9" align=right|Greek Orthodox!style="background-color:#E9E9E9" align=right|Druze!style="background-color:#E9E9E9" align=right|Armenian Orthodox!style="background-color:#E9E9E9" align=right|Greek Catholic!style="background-color:#E9E9E9" align=right|Alawite!style="background-color:#E9E9E9" align=right|Protestant!style="background-color:#E9E9E9" align=right|Other Christians!style="background-color:#E9E9E9" align=right|14 March!style="background-color:#E9E9E9" align=right|8 March|-|rowspan=3 valign=up|Beirut

text: colspan=2|Seat allocationaccording to

text: The Doha Agreement

text: !style="background-color:#E9E9E9" align=right|Total!style="background-color:#E9E9E9" align=right|

text: Maronites

text: !style="background-color:#E9E9E9" align=right|

text: Shi'a

text: Sunni

text: Greek Orthodox

text: Druze

text: Armenian Orthodox

text: Greek Catholic

text: Alawite

text: Protestant

text: !style="background-color:#E9E9E9" align=right|Other

text: Christians

text: !style="background-color:#E9E9E9" align=right|14 March!style="background-color:#E9E9E9" align=right|8 March|-|rowspan=3 valign=up|Beirut

text: Color transformation, or color space conversion, is the transformation of the representation of a color from one color space to another. This calculation is required whenever data is exchanged inside a color-managed chain and carried out by a Color Matching Module. Transforming profiled color information to different output devices is achieved by referencing the profile data into a standard color space. It makes it easier to convert colors from one device to a selected standard color space and from that to the colors of another device. By ensuring that the reference color space covers the many possible colors that humans can see, this concept allows one to exchange colors between many different color output devices. Color transformations can be represented by two profiles (source profile and target profile) or by a devicelink profile. In this process there are approximations involved which make sure that the image keeps its important color qualities and also gives an opportunity to control on how the colors are being changed.

text: Color transformation, or color space conversion, is the transformation of the representation of a color from one

text: color space

text: to another. This calculation is required whenever data is exchanged inside a color-managed chain and carried out by a

text: Color Matching Module

text: . Transforming profiled color information to different output devices is achieved by referencing the profile data into a standard color space. It makes it easier to convert colors from one device to a selected standard color space and from that to the colors of another device. By ensuring that the reference color space covers the many possible colors that humans can see, this concept allows one to exchange colors between many different color output devices. Color transformations can be represented by two profiles (source profile and target profile) or by a devicelink profile. In this process there are approximations involved which make sure that the image keeps its important color qualities and also gives an opportunity to control on how the colors are being changed.

text: |-!colspan=9 style="background:#660099; color:#FF6600;"| Out of Conference|-!colspan=9 style="background:#660099; color:#FF6600;"| Conference Games|-!colspan=9 style="background:#660099; color:#FF6600;"| |-!colspan=9 style="background:#660099; color:#FF6600;"|

text: |-!colspan=9 style="background:#660099; color:#FF6600;"| Out of Conference|-!colspan=9 style="background:#660099; color:#FF6600;"| Conference Games|-!colspan=9 style="background:#660099; color:#FF6600;"|

entity_name: 2015 Southland Conference Men's Basketball Tournament

text: |-!colspan=9 style="background:#660099; color:#FF6600;"|

entity_name: 2015 CollegeInsider.com Postseason Tournament

text: Sergeant Brehm felt duty bound to remain at his post until relieved, but when it became clear the tide of battle was turning, he dispatched Corporal Hoffman to get revised orders. Finding that his comrades had retreated, Hoffman could not find an officer to issue new orders. Seeing that Sergeant Brehm's position was about to be overrun, Hoffman joined the retreat. The Confederates had been hesitant to approach the flags, which implied the presence of a regiment. Finally, a squad from the 42nd Mississippi moved forward cautiously to investigate. With a Rebel yell, they leaped into the hiding place. A frenzied fight over the colors took place, with the color guard desperately trying unsuccessfully to save the colors. In the end, Color Sergeant Brehm was killed trying to keep the colors from falling into enemy hands.

text: Before the show begins there is a 10-minute thunderstorm pre-roll. when the show begins there is a mysterious music swell that leads into show and following the music swell the lights on International Street turn off and the show is ready to  begin. The music begins and the fountain's shoots into the air  and dances with the music. the mountain is being constantly struck with lightning  and lava is being spilled out all over thee mountain. as the scene ends the fountains shoot up and they are all red. in the following scene the fountains are flashing with the mountain and the song playing, the fountains twirl and dance to the song and the mountain plays its supporting role as the backdrop in this sequence. the fountain continues to twirl, swirl and dance to the music with vibrant green and blue colored lights and the beam lighting is a UV color pointing  at the water fountain and surrounding area. The scene ends and the lighting fades out. The next scene follows with the mountain with streamers draping down from all of the waterfall points and starting the sequence the fountain shoots up in sections this time from the bridge to the front and then all of the beam lights come on in a stunning pattern and move everywhere creating a stunning aura effect and the water fountains continue to follow the music and move around until the scene ends. in the following scene the fountain flashes in an array of colors matching to the mountain. the lights flash a lot of colors and the scene continues with all of the beam lights to come on flashing colors rapidly and moving around the fountain and the surrounding area. The music continues and then the fountain becomes a bot slower creating a rotating spire effect and the lighting is all green and moving around like searchlights. then the scene continues flashing colors rapidly and the fountain lighting also flashes colors rapidly creating a flashing rainbow effect. the scene fade's out and the lights dim off into the next scene. thee mountain looks like a giant rock with two sides that move up/down and then the fountain shoots up with red & blue lighting effects and all of the spectacular tree lights come on and the fountain dances with the beat and the scene continues. as the fountains continue to dance the mountain looks like cosmic goop sliding down from the top and then leaking into the fountains created with lighting effects within the fountain. then the scene  ends and the final song comes on. the mountain is as specially a supporting role in this scene with the mountain changing with the lyrics of the song like "Tree's Of Green"  "Red Roses too" "I See Them Bloom For Me And You" and the song goes on the fountains slowly move upwards in a crossing  pattern with yellow lighting effects as well as a rainbow effect when the song says "The Color's Of The Rainbow So Deeply In The Sky" and the fountain & mountain Become A Stunning Rainbow Pattern and the song continues after the end of the song the mountain projects the "Canada's Wonderland" logo with twinkling sparkles and then says  Goodnight to the audience then the show progresses into Post Show where the fountain and mountain are general the same with cycling colors and limited show sequences and the show finally comes to an end.

text: The color defined as blue in the Munsell color system (Munsell 5B) is shown at right. The Munsell color system is a color space that specifies colors based on three color dimensions: hue, value (lightness), and chroma (color purity), spaced uniformly (according to the logarithmic scale which governs human perception) in three dimensions in the Munsell color solid, which is shaped like an elongated oval at an angle. In order for all the colors to be spaced uniformly, it was found necessary to use a color wheel with five primary colors: red, yellow, green, blue, and purple.

text: The color defined as blue in the

text: Munsell color system

text: (Munsell 5B) is shown at right. The Munsell color system is a

text: color space

text: that specifies

text: color

text: s based on three color dimensions:

text: hue

text: , value (

text: lightness

text: ), and

text: chroma

text: (color purity), spaced uniformly (according to the

text: logarithmic scale

text: which governs

text: human perception

text: ) in three dimensions in the Munsell

text: color solid

text: , which is shaped like an elongated oval at an angle. In order for all the colors to be spaced uniformly, it was found necessary to use a color wheel with five primary colors: red, yellow, green, blue, and purple.

text: The actual color value of an object is not considered.  If Player, Missile, Playfield, and Background color registers are all the same value making the objects effectively "invisible", the intersections of objects will still register collisions.  This is useful for making hidden or secret objects and walls.

text: The color displayed at right, Red (RGB), RGB red, or electric red (i.e., as opposed to pigment red, shown below) is the brightest possible red that can be reproduced on a computer monitor.  This color is an approximation of an orangish red spectral color. It is one of the three primary colors of light in the RGB color model, along with green and blue.  The three additive primaries in the RGB color system are the three colors of light chosen such as to provide the maximum gamut of colors that are capable of being represented on a computer or television set, at a reasonable expense of power.  Portable devices such as mobile phones might have even narrower gamut due to this purity–power tradeoff and their "red" may be less colorful and more orangish than the standard red of sRGB.

text: The color displayed at right, Red (RGB), RGB red, or electric red (i.e., as opposed to pigment red, shown below) is the brightest possible red that can be reproduced on a

text: computer monitor

text: .  This color is an approximation of an orangish red

text: spectral color

text: . It is one of the three

text: primary colors

text: of

text: light

text: in the

text: RGB color model

text: , along with

text: green

text: and

text: blue

text: .  The three additive primaries in the RGB color system are the three colors of

text: light

text: chosen such as to provide the maximum

text: gamut

text: of colors that are capable of being represented on a computer or

text: television set

text: , at a reasonable expense of

text: power

text: .  Portable devices such as

text: mobile phone

text: s might have even narrower gamut due to this

text: purity

text: –power tradeoff and their "red" may be less colorful and more orangish than the standard red of

text: sRGB

text: 1968 - White-light transmission holography was invented by Stephen Benton.  This type of holography was unique because it was able to reproduce the entire spectrum of colors by separating the seven colors that create white light.

text: 1968 - White-light transmission holography was invented by

text: Stephen Benton

text: .  This type of holography was unique because it was able to reproduce the entire spectrum of colors by separating the seven colors that create white light.

text: A spectral power distribution describes the proportion of total light given off (emitted, transmitted, or reflected) by a color sample at each visible wavelength; it defines the complete information about the light coming from the sample. However, the human eye contains only three color receptors (three types of cone cells), which means that all colors are reduced to three sensory quantities, called the tristimulus values. Metamerism occurs because each type of cone responds to the cumulative energy from a broad range of wavelengths, so that different combinations of light across all wavelengths can produce an equivalent receptor response and the same tristimulus values or color sensation. In color science, such sensations are numerically represented by color matching functions.

text: A spectral power distribution describes the proportion of total light given off (emitted, transmitted, or reflected) by a color sample at each visible wavelength; it defines the complete information about the light coming from the sample. However, the human eye contains only three color receptors (three types of

text: cone cell

text: s), which means that all colors are reduced to three sensory quantities, called the

text: tristimulus value

text: s. Metamerism occurs because each type of cone responds to the cumulative energy from a broad range of wavelengths, so that different combinations of light across all wavelengths can produce an equivalent receptor response and the same tristimulus values or color sensation. In color science, such sensations are numerically represented by color matching functions.

text: The spectral sensitivity curve of medium-wavelength ("M") cone cells overlaps those of short-wavelength ("S") and long-wavelength ("L") cone cells. Light of any wavelength that interacts with M cones also interacts with S or L cones, or both, to some extent. Therefore, no wavelength (except perhaps a bit of the far red), and no non-negative spectral power distribution, excites only one sort of cone. If, for example, M cones could be excited alone, this would make the brain see an imaginary color greener than any physically possible green; producing it by seeing light would need some of the red and blue parts of visible light to have negative power, which is impossible. Such a "hyper-green" color would be in the CIE 1931 color space chromaticity diagram (left image to the right) in the blank area above the colored area and between the y-axis and the line x+y=1.

text: The

text: spectral sensitivity

text: curve of medium-wavelength ("M") cone cells overlaps those of short-wavelength ("S") and long-wavelength ("L") cone cells. Light of any

text: wavelength

text: that interacts with M cones also interacts with S or L cones, or both, to some extent. Therefore, no wavelength (except perhaps a bit of the far red), and no non-negative

text: spectral power distribution

text: , excites only one sort of cone. If, for example, M cones could be excited alone, this would make the brain see an imaginary color greener than any physically possible green; producing it by seeing light would need some of the red and blue parts of visible light to have negative power, which is impossible. Such a "hyper-green" color would be in the CIE 1931 color space chromaticity diagram (left image to the right) in the blank area above the colored area and between the y-axis and the line x+y=1.

text: The color of chemicals is a physical property of chemicals that in most cases comes from the excitation of electrons due to an absorption of energy performed by the chemical. What is seen by the eye is not the color absorbed, but the complementary color from the removal of the absorbed wavelengths. This spectral perspective was first noted in atomic spectroscopy.

text: The color of chemicals is a

text: physical property

text: of chemicals that in most cases comes from the

text: excitation of electrons

text: due to an absorption of energy performed by the chemical. What is seen by the eye is not the color absorbed, but the

text: complementary color

text: from the removal of the absorbed

text: wavelength

text: s. This spectral perspective was first noted in

text: atomic spectroscopy

text: The Triniscope was an early color television system developed by RCA. It used three separate video tubes with colored phosphors producing the primary colors, combining the images through dichroic mirrors onto a screen for viewing.

text: The Triniscope was an early

text: color television

text: system developed by

text: RCA

text: . It used three separate video tubes with colored phosphors producing the

text: primary color

text: s, combining the images through

text: dichroic mirrors

text: onto a screen for viewing.

text: The above figure represents a gray scale copy of a color computer display for a real-life water quality problem involving five objectives. The decision map consists of four superimposed bi-objective differently colored slices. A palette shows the relation between the values of the “third” objective and colors. Two scroll-bars are related to the values of the fourth and the fifth objectives.

text: In contrast to the naming convention of optical filters where the name of the filter denotes the wavelengths that are blocked, and in line with the convention for air filters and oil filters, photographic filters are named for the color of light they pass. Thus a blue filter makes the picture look blue. A black filter marginally allows more light in the blue wavelength to pass resulting in a slight shift of the color temperature of the photo to a cooler color. Because of this, the term "IR filters" is commonly used to refer to filters that pass infrared light while completely blocking other wavelengths. However, in some applications the term "IR filter" still can be used as a synonym of infrared cut-off filter.

text: In contrast to the naming convention of

text: optical filters

text: where the name of the filter denotes the wavelengths that are blocked, and in line with the convention for

text: air filter

text: s and

text: oil filter

text: s,

text: photographic filter

text: s are named for the color of light they pass. Thus a blue filter makes the picture look blue. A black filter marginally allows more light in the blue wavelength to pass resulting in a slight shift of the

text: color temperature

text: of the photo to a cooler color. Because of this, the term "IR filters" is commonly used to refer to filters that pass infrared light while completely blocking other wavelengths. However, in some applications the term "IR filter" still can be used as a synonym of infrared cut-off filter.

text: Silver Creek had a traditional "dirt" track until after the 1998–1999 school year. An 8-lane, red colored track, was then installed. The installation included surfacing for high jump, and the long/triple jump runways.  Starting on June 27, 2012, all of Silver Creek's buildings have been painted to match the newer U-Building, and the new theater that was finished in 2014. The new colors are tan with green trim, replacing the older colors, white with maroon trim. Along with the new colors of the buildings, all of the light posts have been painted black, replacing the old maroon. In addition to the painting of the lights, new will be added and all existing lights on campus will be changed from yellow/sodium colored lights, to brighter LED lights. The school received a new turf football field, resurfaced track lanes, and stadium lighting in 2012. Photovoltaic panels were also installed in the student parking lot .

text: Certain effects of light only last for a few minutes, thus the canvases documenting such ephemera received attention for no more than a few minutes a day. Further complicating matters, the light of subsequent sunrises, for example, could alter substantially, and would require separate canvases within the series. Subsequently, different hues are evident in each painting, and in each work color is used to describe not only direct but reflected light. At differing times of day and in various seasons haystacks absorb the light from diverse parts of the color spectrum. As a result, the residual light that is reflected off of the haystacks is seen as ever-changing, and manifests in distinctive coloring.

text: Certain effects of light only last for a few minutes, thus the canvases documenting such ephemera received attention for no more than a few minutes a day. Further complicating matters, the light of subsequent

text: sunrise

text: s, for example, could alter substantially, and would require separate canvases within the series. Subsequently, different

text: hue

text: s are evident in each painting, and in each work

text: color

text: is used to describe not only direct but reflected light. At differing times of day and in various seasons haystacks absorb the light from diverse parts of the color

text: spectrum

text: . As a result, the residual light that is reflected off of the haystacks is seen as ever-changing, and manifests in distinctive coloring.

text: | 2 || April 4 || @ Reds || 4 - 1 || Lilly (1-0) || Arroyo (0-1) || Dempster (1) || 25,965 || 1-1 |||- style="background-color:#ffbbbb"| 3 || April 5 || @ Reds || 5 - 2 || Santos (1-0) || Howry (0-1) || Weathers (1) || 25,070 || 1-2 |||- style="background-color:#bbffbb"| 4 || April 6 || @ Brewers || 9 - 3 || Hill (1-0) || Bush (0-1) || || 41,758 || 2-2 |||- style="background-color:#bbffbb"| 5 || April 7 || @ Brewers || 6 - 3 || Zambrano (1-1) || Sheets (1-1) || Dempster (2) || 41,282 || 3-2 |||- style="background-color:#ffbbbb"| 6 || April 8 || @ Brewers || 9 - 4 || Capuano (1-0) || Miller (0-1) || || 28,019 || 3-3 |||- style="background-color:#ffbbbb"| 7 || April 9 || Astros || 5 - 3 || Qualls (1-1) || Howry (0-2) || Wheeler (1) || 41,388 || 3-4 |||- style="background-color:#ffbbbb"| 8 || April 10 || Astros || 4 - 2 || Sampson (1-0) || Marquis (0-1) || || 35,924 || 3-5 |||- style="background-color:#bbbbbb"| -- || April 11 || Astros || colspan=7|Postponed (snow) Rescheduled for June 11|- style="background-color:#ffbbbb"| 9 || April 13 || Reds || 6 - 5 || Coffey (1-0) || Zambrano (1-2) || Weathers (4) || 37,267 || 3-6 |||- style="background-color:#bbffbb"| 10 || April 14 || Reds || 7 - 0 || Hill (2-0) || Arroyo (0-2) || || 38,598 || 4-6 |||- style="background-color:#ffbbbb"| 11 || April 15 || Reds || 1 - 0 || Lohse (1-0) || Lilly (1-1) || Weathers (5) || 39,820 || 4-7 |||- style="background-color:#bbffbb"| 12 || April 16 || Padres || 12 - 4 || Marquis (1-1) || Hensley (0-3) || || 32,126 || 5-7 |||- style="background-color:#ffbbbb"| 13 || April 17 || Padres || 4 - 3 (14) || Brocail (1-0) || Ohman (0-1) || Hoffman (3) || 36,021 || 5-8 |||- style="background-color:#ffbbbb"| 14 || April 18 || @ Braves || 8 - 6 || Villarreal (1-0) || Eyre (0-1) || Wickman (5) || 26,837 || 5-9 |||- style="background-color:#bbffbb"| 15 || April 19 || @ Braves || 3 - 0 || Hill (3-0) || Redman (0-3) || Dempster (3) || 31,603 || 6-9 |||- style="background-color:#ffbbbb"| 16 || April 20 || Cardinals || 2 - 1 || Looper (3-1) || Lilly (1-2) || Isringhausen (4) || 38,955 || 6-10 |||- style="background-color:#bbffbb"| 17 || April 21 || Cardinals || 6 - 0 || Marquis (2-1) || Reyes (0-3) || || 41,637 || 7-10 |||- style="background-color:#ffbbbb"| 18 || April 22 || Cardinals || 12 - 9 (10) || Isringhausen (1-0) || Dempster (0-1) || || 40,193 || 7-11 |||- style="background-color:#ffbbbb"| 19 || April 23 || Brewers || 5 - 4 (12) || Villanueva (1-0) || Cherry (0-1) || Turnbow (1) || 33,920 || 7-12 |||- style="background-color:#ffbbbb"| 20 || April 24 || Brewers || 4 - 1 || Suppan (2-2) || Hill (3-1) || Cordero (8) || 34,382 || 7-13 |||- style="background-color:#bbffbb"| 21 || April 25 || Brewers || 9 - 3 || Lilly (2-2) || Dessens (1-1)|| || 38,581 || 8-13 |||- style="background-color:#bbffbb"| 22 || April 27 || @ Cardinals || 5 - 3 || Marquis (3-1) || Reyes (0-4) || Dempster (4) || 45,131 || 9-13 |||- style="background-color:#bbffbb"| 23 || April 28 || @ Cardinals || 8 - 1 || Zambrano (2-2) || Wainwright (1-2) || || 45,015 || 10-13 |||- style="background-color:#bbbbbb"| -- || April 29 || @ Cardinals || colspan=7|Postponed (death of Cardinals pitcher Josh Hancock) Rescheduled for September 15|- style="background-color:#ffbbbb"| 24 || April 30 || @ Pirates || 3 - 2 || Capps (2-0) || Wuertz (0-1) || Torres (8) || 11,437 || 10-14 |||- style=""|- style="background-color:#bbffbb"| 25 || May 1 || @ Pirates || 8 - 6 || Cherry (1-1) || Bayliss (2-2) || Dempster (5) || 13,082 || 11-14 |||- style="background-color:#bbffbb"| 26 || May 2 || @ Pirates || 7 - 1 || Marquis (4-1) || Snell (2-2) || || 21,765 || 12-14 |||- style="background-color:#bbffbb"| 27 || May 4 || Nationals || 6 - 4 || Zambrano (3-2) || Bergmann (0-3) || Dempster (6) || 39,444 || 13-14 |||- style="background-color:#bbffbb"| 28 || May 5 || Nationals || 5 - 3 || Hill (4-1) || Patterson (1-5) || Dempster (7) || 40,267 || 14-14 |||- style="background-color:#bbffbb"| 29 || May 6 || Nationals || 4 - 3 (10) || Dempster (1-1) || Wagner (0-2) || || 40,481 || 15-14 |||- style="background-color:#ffbbbb"| 30 || May 8 || Pirates || 4 - 3 (15) || Bayliss (3-2) || Cotts (0-1) || Torres (10) || 39,708 || 15-15 |||- style="background-color:#bbffbb"| 31 || May 9 || Pirates || 1 - 0 || Marquis (5-1) || Gorzelanny (4-2) || || 40,264 || 16-15 |||- style="background-color:#ffbbbb"| 32 || May 10 || Pirates || 6 - 4 || Maholm (2-4) || Zambrano (3-3) || Torres (11) || 41,101 || 16-16 |||- style="background-color:#ffbbbb"| 33 || May 11 || @ Phillies || 7 - 2 || Hamels (5-1) || Hill (4-2) || || 42,473 || 16-17 |||- style="background-color:#ffbbbb"| 34 || May 12 || @ Phillies || 11 - 7 || Alfonseca (2-1) || Howry (0-3) || || 45,026 || 16-18 |||- style="background-color:#bbffbb"| 35 || May 13 || @ Phillies || 4 - 1 || Lilly (3-2) || Lieber (1-2) || Dempster (8) || 45,129 || 17-18 |||- style="background-color:#ffbbbb"| 36 || May 14 || @ Mets || 5 - 4 || Heilman (4-2) || Wuertz (0-2) || || 34,033 || 17-19 |||- style="background-color:#bbffbb"| 37 || May 15 || @ Mets || 10 - 1 || Zambrano (4-3) || Maine (5-1) || || 37,487 || 18-19 |||- style="background-color:#ffbbbb"| 38 || May 16 || @ Mets || 8 - 1 || Sosa (3-0) || Hill (4-3) || || 37,483 || 18-20 |||- style="background-color:#ffbbbb"| 39 || May 17 || @ Mets || 6 - 5 || Burgos (1-0) || Dempster (1-2) || || 42,667 || 18-21 |||- style="background-color:#bbffbb"| 40 || May 18 || White Sox || 6 - 3 || Lilly (4-2) || MacDougal (1-1) || Dempster (9) || 40,874 || 19-21 |||- style="background-color:#bbffbb"| 41 || May 19 || White Sox || 11 - 6 || Howry (1-3) || Aardsma (2-1) || || 41,101 || 20-21 |||- style="background-color:#ffbbbb"| 42 || May 20 || White Sox || 10 - 6 || Masset (2-1) || Zambrano (4-4) || || 41,164 || 20-22 |||- style="background-color:#ffbbbb"| 43 || May 22 || @ Padres || 5 - 1 || Peavy (6-1) || Hill (4-4) || Hoffman (12) || 26,192 || 20-23 |||- style="background-color:#ffbbbb"| 44 || May 23 || @ Padres || 2 - 1 || Wells (2-2) || Marshall (0-1) || Hoffman (11) || 27,535 || 20-24 |||- style="background-color:#bbffbb"| 45 || May 24 || @ Padres || 3 - 1 || Howry (2-3) || Meredith (1-2) || Dempster (10) || 32,258 || 21-24 |||- style="background-color:#ffbbbb"| 46 || May 25 || @ Dodgers || 9 - 8 || Seánez (2-0) || Ohman (0-2) || Saito (15) || 46,011 || 21-25 |||- style="background-color:#bbffbb"| 47 || May 26 || @ Dodgers || 4 - 2 || Zambrano (5-4) || Hendrickson (2-2) || Dempster (11) || 48,243 || 22-25 |||- style="background-color:#ffbbbb"| 48 || May 27 || @ Dodgers || 2 - 1 (11) || Billingsley (3-0) || Guzmán (0-1) || || 51,198 || 22-26 |||- style="background-color:#ffbbbb"| 49 || May 28 || Marlins || 5 - 3 || Kim (3-2) || Marshall (0-2) || Gregg (5) || 41,630 || 22-27 |||- style="background-color:#ffbbbb"| 50 || May 29 || Marlins || 9 - 4 || Willis (7-3) || Marquis (5-2) || Gregg (6) || 39,788 || 22-28 |||- style="background-color:#ffbbbb"| 51 || May 30 || Marlins || 9 - 0 || Messenger (1-1) || Lilly (4-3) || || 36,699 || 22-29 |||- style="background-color:#ffbbbb"| 52 || June 1 || Braves || 8 - 5 || Davies (1-1) || Zambrano (5-5) || || 39,523 || 22-30 |||- style="background-color:#ffbbbb"| 53 || June 2 || Braves || 5 - 3 || Yates (2-0) || Ohman (0-3) || Wickman (9) || 40,290 || 22-31 |||- style="background-color:#bbffbb"| 54 || June 3 || Braves || 10 - 1 || Marshall (1-2) || Cormier (0-1) || || 40,155 || 23-31 |||- style="background-color:#bbffbb"| 55 || June 4 || @ Brewers || 7 - 2 || Mármol (1-0) || Bush (3-6) || || 35,760 || 24-31 |||- style="background-color:#ffbbbb"| 56 || June 5 || @ Brewers || 7 - 5 || Vargas (4-1) || Lilly (4-4) || Cordero (22) || 38,535 || 24-32 |||- style="background-color:#bbffbb"| 57 || June 6 || @ Brewers || 6 - 2 || Zambrano (6-5) || Suppan (7-6) || || 40,186 || 25-32 |||- style="background-color:#bbffbb"| 58 || June 7 || @ Braves || 2 - 1 || Hill (5-4) || James (5-5) || Dempster (12) || 32,902 || 26-32 |||- style="background-color:#bbffbb"| 59 || June 8 || @ Braves || 9 - 1 || Marshall (2-2) || Cormier (0-2) || || 37,123 || 27-32 |||- style="background-color:#ffbbbb"| 60 || June 9 || @ Braves || 9 - 5 || Moylan (2-1) || Marquis (5-3) || || 51,816 || 27-33 |||- style="background-color:#ffbbbb"| 61 || June 10 || @ Braves || 5 - 4 || Paronto (3-1) || Dempster (1-3) || Wickman (11) || 32,752 || 27-34 |||- style="background-color:#bbffbb"| 62 || June 11 || Astros || 2 - 1 || Zambrano (7-5) || Williams (2-9) || Dempster (13) || 37,947 || 28-34 |||- style="background-color:#ffbbbb"| 63 || June 12 || Mariners || 5 - 3 (13) || O'Flaherty (3-0) || Ohman (0-4) || Putz (18) || 40,071 || 28-35 |||- style="background-color:#bbffbb"| 64 || June 13 || Mariners || 3 - 2 || Marshall (3-2) || Batista (7-5) || Dempster (14) || 40,163 || 29-35 |||- style="background-color:#bbffbb"| 65 || June 14 || Mariners || 5 - 4 || Howry (3-3) || Morrow (3-1) || || 39,846 || 30-35 |||- style="background-color:#bbffbb"| 66 || June 15 || Padres || 4 - 1 || Lilly (5-4) || Wells (3-4) || Dempster (15) || 40,479 || 31-35 |||- style="background-color:#ffbbbb"| 67 || June 16 || Padres || 1 - 0 || Bell (1-2) || Zambrano (7-6) || Hoffman (19) || 41,632 || 31-36 |||- style="background-color:#ffbbbb"| 68 || June 17 || Padres || 3 - 11 || Maddux (6-3) || Hill (5-5) || || 40,964 || 31-37 |||- style="background-color:#bbffbb"| 69 || June 19 || @ Rangers || 5 - 4 || Mármol (2-0) || Benoit (2-2) || Dempster (16)|| 38,290 || 32-37 |||- style="background-color:#ffbbbb"| 70 || June 20 || @ Rangers || 7 - 3 || Loe (3-6) || Marquis (5-4) || || 37,564 || 32-38 |||- style="background-color:#ffbbbb"| 71 || June 21 || @ Rangers || 6 - 5 || Gagné (2-0) || Howry (3-4) || || 38,406 || 32-39 |||- style="background-color:#bbffbb"| 72 || June 22 || @ White Sox || 5 - 1 || Zambrano (8-6) || Buehrle (4-4) || || 39,046 || 33-39 |||- style="background-color:#bbffbb"| 73 || June 23 || @ White Sox || 2 - 1 || Wuertz (1-2) || Jenks (2-3) || Howry (1) || 39,043 || 34-39 |||- style="background-color:#bbffbb"| 74 || June 24 || @ White Sox || 3 - 0 || Marshall (4-2) || Contreras (5-8) || Howry (2) || 39,194 || 35-39 |||- style="background-color:#bbffbb"| 75 || June 25 || Rockies || 10 - 9 || Howry (4-4) || Fuentes (0-2) || || 40,269 || 36-39 |||- style="background-color:#bbffbb"| 76 || June 26 || Rockies || 8 - 5 || Lilly (6-4) || López (4-1) || Ohman (1) || 40,121 || 37-39 |||- style="background-color:#bbffbb"| 77 || June 27 || Rockies || 6 - 4 || Zambrano (9-6) || Hirsh (3-7) || Mármol (1) || 39,972 || 38-39 |||- style="background-color:#bbffbb"| 78 || June 29 || Brewers || 6 - 5 || Howry (5-4) || Cordero (0-2) || || 41,909 || 39-39 |||- style="background-color:#ffbbbb"| 79 || June 30 || Brewers || 13 - 4 || Sheets (10-3) || Marshall (4-3) || || 41,415 || 39-40 |||- style="background-color:#bbffbb"| 80 || July 1 || Brewers || 5 - 1 || Marquis (6-4) || Bush (6-7) || || 41,486 || 40-40 |||- style="background-color:#bbffbb"| 81 || July 2 || @ Nationals || 7 - 2 || Lilly (7-4) ||  Simontacchi (5-6) || || 24,015 || 41-40 |||- style="background-color:#bbffbb"| 82 || July 3 || @ Nationals || 3 - 1 || Zambrano (10-6) || Redding (0-1) || Howry (3) || 30,106 || 42-40 |||- style="background-color:#ffbbbb"| 83 || July 4 || @ Nationals || 6 - 0 || Chico (4-5) || Hill (5-6) || || 39,207 || 42-41 |||- style="background-color:#bbffbb"| 84 || July 5 || @ Nationals || 4 - 2 || Ohman (1-4) || Ayala (0-1) || Howry (4) || 22,594 || 43-41 |||- style="background-color:#ffbbbb"| 85 || July 6 || @ Pirates || 8 - 4 || Maholm (5-11) || Marquis (6-5) || || 27,868 || 43-42 |||- style="background-color:#bbffbb"| 86 || July 7 || @ Pirates || 7 - 1 || Lilly (8-4) || Van Benschoten (0-3) || || 33,293 || 44-42 |||- style="background-color:#ffbbbb"| 87 || July 8 || @ Pirates || 6 - 2 || Youman (2-0) || Zambrano (10-7) || || 22,470 || 44-43 |||- style=" background:#bbb;"|colspan=10| All–Star Break (July 9–12)|- style="background-color:#bbffbb"| 88 || July 13 || Astros || 6 - 0 || Zambrano (11-7) || Jennings (1-5) || || 41,593 || 45-43 |||- style="background-color:#bbffbb"| 89 || July 14 || Astros || 9 - 3 || Lilly (9-4) || Oswalt (8-6) || || 41,448 || 46-43 |||- style="background-color:#bbffbb"| 90 || July 15 || Astros || 7 - 6 || Wuertz (2-2) || Rodríguez (6-8) || Howry (5) || 41,757 || 47-43 |||- style="background-color:#bbffbb"| 91 || July 16 || Giants || 3 - 2 || Hill (6-6) || Correia (1-5) || Howry (6) || 40,282 || 48-43 |||- style="background-color:#ffbbbb"| 92 || July 17 || Giants || 4 - 2 || Zito (7-9) || Mármol (2-1) || Hennessey (6) || 41,102 || 48-44 |||- style="background-color:#bbffbb"| 93 || July 18 || Giants || 12 - 1 || Zambrano (12-7) || Cain (3-11) || Gallagher (1) || 39,792 || 49-44 |||- style="background-color:#bbffbb"| 94 || July 19 || Giants || 9 - 8 || Lilly (10-4) || Morris (7-6) || Howry (7) || 40,198 || 50-44 |||- style="background-color:#bbffbb"| 95 || July 20 || D-backs || 6 - 2 || Marquis (7-5) || Webb (8-8) || || 41,071 || 51-44 |||- style="background-color:#ffbbbb"| 96 || July 21 || D-backs || 3 - 2 || Cruz (4-1) || Howry (5-5) || Valverde (29) || 41,632 || 51-45 |||- style="background-color:#ffbbbb"| 97 || July 22 || D-backs || 3 - 0 || Petit (2-2) || Marshall (4-4) || Valverde (30) || 41,705 || 51-46 |||- style="background-color:#bbffbb"| 98 || July 24 || @ Cardinals || 4 - 3 || Zambrano (13-7) || Wells (4-13) || Dempster (17) || 45,436 || 52-46 |||- style="background-color:#bbffbb"| 99 || July 25 || @ Cardinals || 7 - 1 || Lilly (11-4) || Wainwright (9-8) || || 45,316 || 53-46 |||- style="background-color:#ffbbbb"| 100 || July 26 || @ Cardinals || 11 - 1 || Looper (8-8) || Marquis (7-6) || || 45,308 || 53-47 |||- style="background-color:#ffbbbb"| 101 || July 27 || @ Reds || 5 - 4 || Weathers (2-3) || Howry (5-6) || || 36,635 || 53-48 |||- style="background-color:#bbffbb"| 102 || July 28 || @ Reds || 8 - 1 || Marshall (5-4) || Harang (10-3) || || 42,365 || 54-48 |||- style="background-color:#bbffbb"| 103 || July 29 || @ Reds || 6 - 0 || Zambrano (14-7) || Belisle (5-8) || || 33,061 || 55-48 |||- style="background-color:#ffbbbb"| 104 || July 30|| Phillies || 4 - 1 || Hamels (12-5) || Lilly (11-5) || Myers (7) || 41,686 || 55-49 |||- style="background-color:#bbffbb"| 105 || July 31|| Phillies || 7 - 3 || Marquis (8-6) || Eaton (9-7) || || 40,495 || 56-49 |||- style="background-color:#bbffbb"| 106 || August 1|| Phillies || 5 - 4 || Dempster (2-3) || Myers (1-3) || || 40,558 || 57-49 |||- style="background-color:#ffbbbb"| 107 || August 2|| Phillies || 10 - 6 || Durbin (4-2) || Marshall (5-5) || || 40,988 || 57-50 |||- style="background-color:#ffbbbb"| 108 || August 3|| Mets || 6 - 2 || Mota (1-0) || Dempster (2-4) || || 41,512 || 57-51 |||- style="background-color:#bbffbb"| 109 || August 4|| Mets || 6 - 2 || Lilly (12-5) || Maine (12-6) || || 41,412 || 58-51 |||- style="background-color:#ffbbbb"| 110 || August 5|| Mets || 8 - 3 || Glavine (10-6) || Marquis (8-7) || || 41,599 || 58-52 |||- style="background-color:#ffbbbb"| 111 || August 6 || @ Astros || 2 - 1 (10) || Lidge (3-1) || Wuertz (2-3) || || 36,459 || 58-53 |||- style="background-color:#ffbbbb"| 112 || August 7 || @ Astros || 5 - 2 || Williams (6-12) || Marshall (5-6) || Lidge (7) || 37,561 || 58-54 |||- style="background-color:#ffbbbb"| 113 || August 8 || @ Astros || 8 - 2 || Oswalt (12-6) || Zambrano (14-8) || || 41,655 || 58-55 |||- style="background-color:#bbffbb"| 114 || August 9 || @ Rockies || 10 - 2 || Lilly (13-5) || Jiménez (1-2) || || 40,738 || 59-55 |||- style="background-color:#bbffbb"| 115 || August 10 || @ Rockies || 6 - 2 || Marquis (9-7) || Cook (8-7) || || 41,282 || 60-55 |||- style="background-color:#ffbbbb"| 116 || August 11 || @ Rockies || 15 - 2 || Fogg (7-7) || Hill (6-7) || || 48,095 || 60-56 |||- style="background-color:#ffbbbb"| 117 || August 12|| @ Rockies || 6 - 3 || Herges (1-0) || Wood (0-1) || Corpas (9) || 39,176 || 60-57 |||- style="background-color:#ffbbbb"| 118 || August 14|| Reds || 6 - 5 || Harang (12-3) || Zambrano (14-9) || Weathers (23) || 40,750 || 60-58 |||- style="background-color:#ffbbbb"| 119 || August 15|| Reds || 11 - 9 || Bray (1-0) || Howry (5-7) || Weathers (24) || 40,162 || 60-59 |||- style="background-color:#bbffbb"| 120 || August 16|| Reds || 12 - 4 || Marquis (10-7) || Livingston (3-3) || || 40,372 || 61-59 |||- style="background-color:#bbffbb"| 121 || August 17|| Cardinals || 2 - 1 || Hill (7-7)|| Looper (10-10) || Dempster (18) || 41,634 || 62-59 |||- style="background-color:#bbffbb"| 122 || August 18|| Cardinals || 5 - 3 || Marshall (6-6) || Reyes (2-12) || Dempster (19) || 41,369 || 63-59 |||- style="background-color:#bbbbbb"| -- || August 19 || Cardinals || colspan=7|Postponed (rain) Rescheduled for September 10|- style="background-color:#ffbbbb"| 123 || August 20 || Cardinals || 6 - 4 || Piñeiro (4-2) || Lilly (13-6) || Isringhausen (23) || 40,141 || 63-60 |||- style="background-color:#bbffbb"| 124 || August 21 || @ Giants || 5 - 1 || Eyre (1-1) || Lincecum (7-4) || || 41,242 || 64-60 |||- style="background-color:#bbffbb"| 125 || August 22 || @ Giants || 4 - 2 || Mármol (3-1) || Misch (0-3) || Dempster (20) || 39,548 || 65-60 |||- style="background-color:#ffbbbb"| 126 || August 23 || @ Giants || 4 - 1 || Cain (6-13) || Zambrano (14-10) || Hennessey (13) || 41,558 || 65-61 |||- style="background-color:#bbffbb"| 127 || August 24 || @ D-backs || 6 - 2 || Marshall (7-6)|| Owings (6-7) || Dempster (21) || 36,700 || 66-61 |||- style="background-color:#ffbbbb"| 128 || August 25 || @ D-backs || 3 - 1 || Davis (11-11) || Lilly (13-7) || Valverde (39) || 46,173 || 66-62 |||- style="background-color:#ffbbbb"| 129 || August 26 || @ D-backs || 5 - 4 || González (6-2) || Marquis (10-8) || Valverde (40) || 38,902 || 66-63 |||- style="background-color:#bbffbb"| 130 || August 28 || Brewers || 5 - 3 || Hill (8-7) || Linebrink (4-6) || Dempster (22) || 40,884 || 67-63 |||- style="background-color:#ffbbbb"| 131 || August 29 || Brewers || 6 - 1 || Sheets (11-4) || Zambrano (14-11) || || 40,512 || 67-64 |||- style="background-color:#bbffbb"| 132 || August 30 || Brewers || 5 - 4 || Mármol (4-1) || Capuano (5-12) || Dempster (23) || 40,790 || 68-64 |||- style="background-color:#ffbbbb"| 133 || August 31 || Astros || 6 - 1 || Rodríguez (8-12) || Marshall (7-7) || || 41,297 || 68-65 |||- style="background-color:#bbffbb"| 134 || September 1 || Astros || 4 - 3 || Marquis (11-8) || Patton (0-2) || Dempster (24) || 40,606 || 69-65 |||- style="background-color:#bbffbb"| 135 || September 2 || Astros || 6 - 5 || Mármol (5-1) || Qualls (6-4) || Dempster (25) || 41,415 || 70-65 |||- style="background-color:#ffbbbb"| 136 || September 3 || Dodgers || 11 - 3 || Loaiza (2-0) || Zambrano (14-12) || || 41,070 || 70-66 |||- style="background-color:#ffbbbb"| 137 || September 4 || Dodgers || 6 - 2 || Penny (15-4) || Trachsel (6-9) || || 37,834 || 70-67 |||- style="background-color:#bbffbb"| 138 || September 5 || Dodgers || 8 - 2 || Lilly (14-7) || Stults (1-3) || || 39,559 || 71-67 |||- style="background-color:#ffbbbb"| 139 || September 6 || Dodgers || 7 - 4 || Beimel (4-1) || Dempster (2-5) || Saito (37) || 39,397 || 71-68 |||- style="background-color:#ffbbbb"| 140 || September 7 || @ Pirates || 6 - 1 || Gorzelanny (14-7) || Hill (8-8) || || 24,489 || 71-69 |||- style="background-color:#bbffbb"| 141 || September 8 || @ Pirates || 5 - 1 || Zambrano (15-12) || Snell (9-12) || || 33,373 || 72-69 |||- style="background-color:#ffbbbb"| 142 || September 9|| @ Pirates || 10 - 5 || Morris (9-9) || Trachsel (6-10) || || 21,861 || 72-70 |||- style="background-color:#bbffbb"| 143 || September 10|| Cardinals || 12 - 3 || Lilly (15-7) || Piñeiro (5-4) || || 40,358 || 73-70 |||- style="background-color:#ffbbbb"| 144 || September 11|| @ Astros || 5 - 4 (11) || Lidge (4-2) || Dempster (2-6) || || 33,493 || 73-71 |||- style="background-color:#bbffbb"| 145 || September 12|| @ Astros || 3 - 2 || Hill (9-8) || Albers (4-8) || Dempster (26) || 33,115 || 74-71 |||- style="background-color:#bbffbb"| 146 || September 13|| @ Astros || 6 - 2 || Trachsel (7-10) || Williams (8-15) || || 34,234 || 75-71 |||- style="background-color:#bbffbb"| 147 || September 14|| @ Cardinals || 5 - 3 || Zambrano (16-12) || Wainwright (13-11) || Howry (8) || 45,750 || 76-71 |||- style="background-color:#bbffbb"| 148 || September 15|| @ Cardinals || 3 - 2 || Wood (1-1) || Franklin (4-4) || Dempster (27) || 45,918 || 77-71 |||- style="background-color:#ffbbbb"| 149 || September 15|| @ Cardinals || 4 - 3 || Piñeiro (6-4) || Marshall (7-8) || Isringhausen (29) || 45,894 || 77-72 |||- style="background-color:#bbffbb"| 150 || September 16 || @ Cardinals || 4 - 2 || Marquis (12-8) || Mulder (0-3) || Dempster (28) || 45,735 || 78-72 |||- style="background-color:#bbffbb"| 151 || September 17 || Reds || 7 - 6 || Ohman (2-4) || Weathers (2-6) || || 39,075 || 79-72 |||- style="background-color:#ffbbbb"| 152 || September 18 || Reds || 5 - 2 || Harang (16-4) || Zambrano (16-13) || Weathers (31) || 40,801 || 79-73 |||- style="background-color:#bbffbb"| 153 || September 19 || Reds || 3 - 2 || Howry (6-7) || Majewski (0-3) || || 40,805 || 80-73 |||- style="background-color:#bbffbb"| 154 || September 21 || Pirates || 13 - 8 || Eyre (2-1) || Osoria (0-2) || || 41,591 || 81-73 |||- style="background-color:#bbffbb"| 155 || September 22 || Pirates || 9 - 5 || Hill (10-8) || Duke (3-8) || || 41,271 || 82-73 |||- style="background-color:#bbffbb"| 156 || September 23 || Pirates || 8 - 0 || Zambrano (17-13) || Gorzelanny (14-9) || || 41,364 || 83-73 |||- style="background-color:#ffbbbb"| 157 || September 25|| @ Marlins || 4 - 2 || Willis (10-15) || Lilly (15-8) || Tankersley (1) || 16,044 || 83-74 |||- style="background-color:#ffbbbb"| 158 || September 26|| @ Marlins || 7 - 4 || Kensing (2-0) || Marquis (12-9) || Gardner (2) || 19,051 || 83-75 |||- style="background-color:#ffbbbb"| 159 || September 27|| @ Marlins || 6 - 4 || Olsen (10-15) || Trachsel (7-11) || Gregg (31) || 24,809 || 83-76 |||- style="background-color:#bbffbb"| 160 || September 28|| @ Reds || 6 - 0 || Zambrano (18-13) || Arroyo (9-15) || || 32,193 || 84-76 |||- style="background-color:#bbffbb"| 161 || September 29|| @ Reds || 4 - 0 || Hill (11-8) || Harang (16-6) || || 38,936 || 85-76 |||- style="background-color:#ffbbbb"| 162 || September 30|| @ Reds || 8 - 4 || Bailey (4-2) || Dempster (2-7) || || 32,620 || 85-77 |||- | Legend:       = Win       = Loss       = Postponement<br>Bold = Cubs team member

text: | 2 || April 4 || @

text: Reds

text: || 4 - 1 ||

text: Lilly

text: (1-0) ||

text: Arroyo

text: (0-1) ||

text: Dempster

text: (1) || 25,965 || 1-1 |||- style="background-color:#ffbbbb"| 3 || April 5 || @

text: Reds

text: || 5 - 2 ||

text: Santos

text: (1-0) ||

text: Howry

text: (0-1) ||

text: Weathers

text: (1) || 25,070 || 1-2 |||- style="background-color:#bbffbb"| 4 || April 6 || @

text: Brewers

text: || 9 - 3 ||

text: Hill

text: (1-0) ||

text: Bush

text: (0-1) || || 41,758 || 2-2 |||- style="background-color:#bbffbb"| 5 || April 7 || @

text: Brewers

text: || 6 - 3 ||

text: Zambrano

text: (1-1) ||

text: Sheets

text: (1-1) ||

text: Dempster

text: (2) || 41,282 || 3-2 |||- style="background-color:#ffbbbb"| 6 || April 8 || @

text: Brewers

text: || 9 - 4 ||

text: Capuano

text: (1-0) ||

text: Miller

text: (0-1) || || 28,019 || 3-3 |||- style="background-color:#ffbbbb"| 7 || April 9 ||

text: Astros

text: || 5 - 3 ||

text: Qualls

text: (1-1) ||

text: Howry

text: (0-2) ||

text: Wheeler

text: (1) || 41,388 || 3-4 |||- style="background-color:#ffbbbb"| 8 || April 10 ||

text: Astros

text: || 4 - 2 ||

text: Sampson

text: (1-0) ||

text: Marquis

text: (0-1) || || 35,924 || 3-5 |||- style="background-color:#bbbbbb"| -- || April 11 ||

text: Astros

text: || colspan=7|Postponed (snow) Rescheduled for June 11|- style="background-color:#ffbbbb"| 9 || April 13 ||

text: Reds

text: || 6 - 5 ||

text: Coffey

text: (1-0) ||

text: Zambrano

text: (1-2) ||

text: Weathers

text: (4) || 37,267 || 3-6 |||- style="background-color:#bbffbb"| 10 || April 14 ||

text: Reds

text: || 7 - 0 ||

text: Hill

text: (2-0) ||

text: Arroyo

text: (0-2) || || 38,598 || 4-6 |||- style="background-color:#ffbbbb"| 11 || April 15 ||

text: Reds

text: || 1 - 0 ||

text: Lohse

text: (1-0) ||

text: Lilly

text: (1-1) ||

text: Weathers

text: (5) || 39,820 || 4-7 |||- style="background-color:#bbffbb"| 12 || April 16 ||

text: Padres

text: || 12 - 4 ||

text: Marquis

text: (1-1) ||

text: Hensley

text: (0-3) || || 32,126 || 5-7 |||- style="background-color:#ffbbbb"| 13 || April 17 ||

text: Padres

text: || 4 - 3 (14) ||

text: Brocail

text: (1-0) ||

text: Ohman

text: (0-1) ||

text: Hoffman

text: (3) || 36,021 || 5-8 |||- style="background-color:#ffbbbb"| 14 || April 18 || @

text: Braves

text: || 8 - 6 ||

text: Villarreal

text: (1-0) ||

text: Eyre

text: (0-1) ||

text: Wickman

text: (5) || 26,837 || 5-9 |||- style="background-color:#bbffbb"| 15 || April 19 || @

text: Braves

text: || 3 - 0 ||

text: Hill

text: (3-0) ||

text: Redman

text: (0-3) ||

text: Dempster

text: (3) || 31,603 || 6-9 |||- style="background-color:#ffbbbb"| 16 || April 20 ||

text: Cardinals

text: || 2 - 1 ||

text: Looper

text: (3-1) ||

text: Lilly

text: (1-2) ||

text: Isringhausen

text: (4) || 38,955 || 6-10 |||- style="background-color:#bbffbb"| 17 || April 21 ||

text: Cardinals

text: || 6 - 0 ||

text: Marquis

text: (2-1) ||

text: Reyes

text: (0-3) || || 41,637 || 7-10 |||- style="background-color:#ffbbbb"| 18 || April 22 ||

text: Cardinals

text: || 12 - 9 (10) ||

text: Isringhausen

text: (1-0) ||

text: Dempster

text: (0-1) || || 40,193 || 7-11 |||- style="background-color:#ffbbbb"| 19 || April 23 ||

text: Brewers

text: || 5 - 4 (12) ||

text: Villanueva

text: (1-0) ||

text: Cherry

text: (0-1) ||

text: Turnbow

text: (1) || 33,920 || 7-12 |||- style="background-color:#ffbbbb"| 20 || April 24 ||

text: Brewers

text: || 4 - 1 ||

text: Suppan

text: (2-2) ||

text: Hill

text: (3-1) ||

text: Cordero

text: (8) || 34,382 || 7-13 |||- style="background-color:#bbffbb"| 21 || April 25 ||

text: Brewers

text: || 9 - 3 ||

text: Lilly

text: (2-2) ||

text: Dessens

text: (1-1)|| || 38,581 || 8-13 |||- style="background-color:#bbffbb"| 22 || April 27 || @

text: Cardinals

text: || 5 - 3 ||

text: Marquis

text: (3-1) ||

text: Reyes

text: (0-4) ||

text: Dempster

text: (4) || 45,131 || 9-13 |||- style="background-color:#bbffbb"| 23 || April 28 || @

text: Cardinals

text: || 8 - 1 ||

text: Zambrano

text: (2-2) ||

text: Wainwright

text: (1-2) || || 45,015 || 10-13 |||- style="background-color:#bbbbbb"| -- || April 29 || @

text: Cardinals

text: || colspan=7|Postponed (death of Cardinals pitcher

text: Josh Hancock

text: ) Rescheduled for September 15|- style="background-color:#ffbbbb"| 24 || April 30 || @

text: Pirates

text: || 3 - 2 ||

text: Capps

text: (2-0) ||

text: Wuertz

text: (0-1) ||

text: Torres

text: (8) || 11,437 || 10-14 |||- style=""|- style="background-color:#bbffbb"| 25 || May 1 || @

text: Pirates

text: || 8 - 6 ||

text: Cherry

text: (1-1) ||

text: Bayliss

text: (2-2) ||

text: Dempster

text: (5) || 13,082 || 11-14 |||- style="background-color:#bbffbb"| 26 || May 2 || @

text: Pirates

text: || 7 - 1 ||

text: Marquis

text: (4-1) ||

text: Snell

text: (2-2) || || 21,765 || 12-14 |||- style="background-color:#bbffbb"| 27 || May 4 ||

text: Nationals

text: || 6 - 4 ||

text: Zambrano

text: (3-2) ||

text: Bergmann

text: (0-3) ||

text: Dempster

text: (6) || 39,444 || 13-14 |||- style="background-color:#bbffbb"| 28 || May 5 ||

text: Nationals

text: || 5 - 3 ||

text: Hill

text: (4-1) ||

text: Patterson

text: (1-5) ||

text: Dempster

text: (7) || 40,267 || 14-14 |||- style="background-color:#bbffbb"| 29 || May 6 ||

text: Nationals

text: || 4 - 3 (10) ||

text: Dempster

text: (1-1) ||

text: Wagner

text: (0-2) || || 40,481 || 15-14 |||- style="background-color:#ffbbbb"| 30 || May 8 ||

text: Pirates

text: || 4 - 3 (15) ||

text: Bayliss

text: (3-2) ||

text: Cotts

text: (0-1) ||

text: Torres

text: (10) || 39,708 || 15-15 |||- style="background-color:#bbffbb"| 31 || May 9 ||

text: Pirates

text: || 1 - 0 ||

text: Marquis

text: (5-1) ||

text: Gorzelanny

text: (4-2) || || 40,264 || 16-15 |||- style="background-color:#ffbbbb"| 32 || May 10 ||

text: Pirates

text: || 6 - 4 ||

text: Maholm

text: (2-4) ||

text: Zambrano

text: (3-3) ||

text: Torres

text: (11) || 41,101 || 16-16 |||- style="background-color:#ffbbbb"| 33 || May 11 || @

text: Phillies

text: || 7 - 2 ||

text: Hamels

text: (5-1) ||

text: Hill

text: (4-2) || || 42,473 || 16-17 |||- style="background-color:#ffbbbb"| 34 || May 12 || @

text: Phillies

text: || 11 - 7 ||

text: Alfonseca

text: (2-1) ||

text: Howry

text: (0-3) || || 45,026 || 16-18 |||- style="background-color:#bbffbb"| 35 || May 13 || @

text: Phillies

text: || 4 - 1 ||

text: Lilly

text: (3-2) ||

text: Lieber

text: (1-2) ||

text: Dempster

text: (8) || 45,129 || 17-18 |||- style="background-color:#ffbbbb"| 36 || May 14 || @

text: Mets

text: || 5 - 4 ||

text: Heilman

text: (4-2) ||

text: Wuertz

text: (0-2) || || 34,033 || 17-19 |||- style="background-color:#bbffbb"| 37 || May 15 || @

text: Mets

text: || 10 - 1 ||

text: Zambrano

text: (4-3) ||

text: Maine

text: (5-1) || || 37,487 || 18-19 |||- style="background-color:#ffbbbb"| 38 || May 16 || @

text: Mets

text: || 8 - 1 ||

text: Sosa

text: (3-0) ||

text: Hill

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text: Maddux

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text: Rangers

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text: Benoit

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text: (16)|| 38,290 || 32-37 |||- style="background-color:#ffbbbb"| 70 || June 20 || @

text: Rangers

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text: Rangers

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text: Gagné

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text: Howry

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text: White Sox

text: || 5 - 1 ||

text: Zambrano

text: (8-6) ||

text: Buehrle

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text: White Sox

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text: Wuertz

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text: Jenks

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text: White Sox

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text: Marshall

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text: Lilly

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text: Zambrano

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text: Lilly

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text: Nationals

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text: Nationals

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text: Nationals

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text: Maholm

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text: Pirates

text: || 7 - 1 ||

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text: Pirates

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entity_name: 2007 Major League Baseball All-Star Game

text: All–Star Break

text: (July 9–12)|- style="background-color:#bbffbb"| 88 || July 13 ||

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text: || 6 - 0 ||

text: Zambrano

text: (11-7) ||

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text: || 9 - 3 ||

text: Lilly

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text: Wuertz

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text: || 3 - 2 ||

text: Hill

text: (6-6) ||

text: Correia

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text: Giants

text: || 4 - 2 ||

text: Zito

text: (7-9) ||

text: Mármol

text: (2-1) ||

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text: || 12 - 1 ||

text: Zambrano

text: (12-7) ||

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text: || 9 - 8 ||

text: Lilly

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text: || 6 - 2 ||

text: Marquis

text: (7-5) ||

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text: || 3 - 0 ||

text: Petit

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text: Cardinals

text: || 4 - 3 ||

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text: (13-7) ||

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text: Cardinals

text: || 7 - 1 ||

text: Lilly

text: (11-4) ||

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text: || 11 - 1 ||

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text: (8-8) ||

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text: Reds

text: || 5 - 4 ||

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text: (2-3) ||

text: Howry

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text: Reds

text: || 8 - 1 ||

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text: Harang

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text: Reds

text: || 6 - 0 ||

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text: (14-7) ||

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text: || 4 - 1 ||

text: Hamels

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text: Lilly

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text: Phillies

text: || 7 - 3 ||

text: Marquis

text: (8-6) ||

text: Eaton

text: (9-7) || || 40,495 || 56-49 |||- style="background-color:#bbffbb"| 106 || August 1||

text: Phillies

text: || 5 - 4 ||

text: Dempster

text: (2-3) ||

text: Myers

text: (1-3) || || 40,558 || 57-49 |||- style="background-color:#ffbbbb"| 107 || August 2||

text: Phillies

text: || 10 - 6 ||

text: Durbin

text: (4-2) ||

text: Marshall

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text: Mets

text: || 6 - 2 ||

text: Mota

text: (1-0) ||

text: Dempster

text: (2-4) || || 41,512 || 57-51 |||- style="background-color:#bbffbb"| 109 || August 4||

text: Mets

text: || 6 - 2 ||

text: Lilly

text: (12-5) ||

text: Maine

text: (12-6) || || 41,412 || 58-51 |||- style="background-color:#ffbbbb"| 110 || August 5||

text: Mets

text: || 8 - 3 ||

text: Glavine

text: (10-6) ||

text: Marquis

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text: Astros

text: || 2 - 1 (10) ||

text: Lidge

text: (3-1) ||

text: Wuertz

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text: Astros

text: || 5 - 2 ||

text: Williams

text: (6-12) ||

text: Marshall

text: (5-6) ||

text: Lidge

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text: Astros

text: || 8 - 2 ||

text: Oswalt

text: (12-6) ||

text: Zambrano

text: (14-8) || || 41,655 || 58-55 |||- style="background-color:#bbffbb"| 114 || August 9 || @

text: Rockies

text: || 10 - 2 ||

text: Lilly

text: (13-5) ||

text: Jiménez

text: (1-2) || || 40,738 || 59-55 |||- style="background-color:#bbffbb"| 115 || August 10 || @

text: Rockies

text: || 6 - 2 ||

text: Marquis

text: (9-7) ||

text: Cook

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text: Rockies

text: || 15 - 2 ||

text: Fogg

text: (7-7) ||

text: Hill

text: (6-7) || || 48,095 || 60-56 |||- style="background-color:#ffbbbb"| 117 || August 12|| @

text: Rockies

text: || 6 - 3 ||

text: Herges

text: (1-0) ||

text: Wood

text: (0-1) ||

text: Corpas

text: (9) || 39,176 || 60-57 |||- style="background-color:#ffbbbb"| 118 || August 14||

text: Reds

text: || 6 - 5 ||

text: Harang

text: (12-3) ||

text: Zambrano

text: (14-9) ||

text: Weathers

text: (23) || 40,750 || 60-58 |||- style="background-color:#ffbbbb"| 119 || August 15||

text: Reds

text: || 11 - 9 ||

text: Bray

text: (1-0) ||

text: Howry

text: (5-7) ||

text: Weathers

text: (24) || 40,162 || 60-59 |||- style="background-color:#bbffbb"| 120 || August 16||

text: Reds

text: || 12 - 4 ||

text: Marquis

text: (10-7) ||

text: Livingston

text: (3-3) || || 40,372 || 61-59 |||- style="background-color:#bbffbb"| 121 || August 17||

text: Cardinals

text: || 2 - 1 ||

text: Hill

text: Looper

text: (10-10) ||

text: Dempster

text: (18) || 41,634 || 62-59 |||- style="background-color:#bbffbb"| 122 || August 18||

text: Cardinals

text: || 5 - 3 ||

text: Marshall

text: (6-6) ||

text: Reyes

text: (2-12) ||

text: Dempster

text: (19) || 41,369 || 63-59 |||- style="background-color:#bbbbbb"| -- || August 19 ||

text: Cardinals

text: || colspan=7|Postponed (rain) Rescheduled for September 10|- style="background-color:#ffbbbb"| 123 || August 20 ||

text: Cardinals

text: || 6 - 4 ||

text: Piñeiro

text: (4-2) ||

text: Lilly

text: (13-6) ||

text: Isringhausen

text: (23) || 40,141 || 63-60 |||- style="background-color:#bbffbb"| 124 || August 21 || @

text: Giants

text: || 5 - 1 ||

text: Eyre

text: (1-1) ||

text: Lincecum

text: (7-4) || || 41,242 || 64-60 |||- style="background-color:#bbffbb"| 125 || August 22 || @

text: Giants

text: || 4 - 2 ||

text: Mármol

text: (3-1) ||

text: Misch

text: (0-3) ||

text: Dempster

text: (20) || 39,548 || 65-60 |||- style="background-color:#ffbbbb"| 126 || August 23 || @

text: Giants

text: || 4 - 1 ||

text: Cain

text: (6-13) ||

text: Zambrano

text: (14-10) ||

text: Hennessey

text: (13) || 41,558 || 65-61 |||- style="background-color:#bbffbb"| 127 || August 24 || @

text: D-backs

text: || 6 - 2 ||

text: Marshall

text: Owings

text: (6-7) ||

text: Dempster

text: (21) || 36,700 || 66-61 |||- style="background-color:#ffbbbb"| 128 || August 25 || @

text: D-backs

text: || 3 - 1 ||

text: Davis

text: (11-11) ||

text: Lilly

text: (13-7) ||

text: Valverde

text: (39) || 46,173 || 66-62 |||- style="background-color:#ffbbbb"| 129 || August 26 || @

text: D-backs

text: || 5 - 4 ||

text: González

text: (6-2) ||

text: Marquis

text: (10-8) ||

text: Valverde

text: (40) || 38,902 || 66-63 |||- style="background-color:#bbffbb"| 130 || August 28 ||

text: Brewers

text: || 5 - 3 ||

text: Hill

text: (8-7) ||

text: Linebrink

text: (4-6) ||

text: Dempster

text: (22) || 40,884 || 67-63 |||- style="background-color:#ffbbbb"| 131 || August 29 ||

text: Brewers

text: || 6 - 1 ||

text: Sheets

text: (11-4) ||

text: Zambrano

text: (14-11) || || 40,512 || 67-64 |||- style="background-color:#bbffbb"| 132 || August 30 ||

text: Brewers

text: || 5 - 4 ||

text: Mármol

text: (4-1) ||

text: Capuano

text: (5-12) ||

text: Dempster

text: (23) || 40,790 || 68-64 |||- style="background-color:#ffbbbb"| 133 || August 31 ||

text: Astros

text: || 6 - 1 ||

text: Rodríguez

text: (8-12) ||

text: Marshall

text: (7-7) || || 41,297 || 68-65 |||- style="background-color:#bbffbb"| 134 || September 1 ||

text: Astros

text: || 4 - 3 ||

text: Marquis

text: (11-8) ||

text: Patton

text: (0-2) ||

text: Dempster

text: (24) || 40,606 || 69-65 |||- style="background-color:#bbffbb"| 135 || September 2 ||

text: Astros

text: || 6 - 5 ||

text: Mármol

text: (5-1) ||

text: Qualls

text: (6-4) ||

text: Dempster

text: (25) || 41,415 || 70-65 |||- style="background-color:#ffbbbb"| 136 || September 3 ||

text: Dodgers

text: || 11 - 3 ||

text: Loaiza

text: (2-0) ||

text: Zambrano

text: (14-12) || || 41,070 || 70-66 |||- style="background-color:#ffbbbb"| 137 || September 4 ||

text: Dodgers

text: || 6 - 2 ||

text: Penny

text: (15-4) ||

text: Trachsel

text: (6-9) || || 37,834 || 70-67 |||- style="background-color:#bbffbb"| 138 || September 5 ||

text: Dodgers

text: || 8 - 2 ||

text: Lilly

text: (14-7) ||

text: Stults

text: (1-3) || || 39,559 || 71-67 |||- style="background-color:#ffbbbb"| 139 || September 6 ||

text: Dodgers

text: || 7 - 4 ||

text: Beimel

text: (4-1) ||

text: Dempster

text: (2-5) ||

text: Saito

text: (37) || 39,397 || 71-68 |||- style="background-color:#ffbbbb"| 140 || September 7 || @

text: Pirates

text: || 6 - 1 ||

text: Gorzelanny

text: (14-7) ||

text: Hill

text: (8-8) || || 24,489 || 71-69 |||- style="background-color:#bbffbb"| 141 || September 8 || @

text: Pirates

text: || 5 - 1 ||

text: Zambrano

text: (15-12) ||

text: Snell

text: (9-12) || || 33,373 || 72-69 |||- style="background-color:#ffbbbb"| 142 || September 9|| @

text: Pirates

text: || 10 - 5 ||

text: Morris

text: (9-9) ||

text: Trachsel

text: (6-10) || || 21,861 || 72-70 |||- style="background-color:#bbffbb"| 143 || September 10||

text: Cardinals

text: || 12 - 3 ||

text: Lilly

text: (15-7) ||

text: Piñeiro

text: (5-4) || || 40,358 || 73-70 |||- style="background-color:#ffbbbb"| 144 || September 11|| @

text: Astros

text: || 5 - 4 (11) ||

text: Lidge

text: (4-2) ||

text: Dempster

text: (2-6) || || 33,493 || 73-71 |||- style="background-color:#bbffbb"| 145 || September 12|| @

text: Astros

text: || 3 - 2 ||

text: Hill

text: (9-8) ||

text: Albers

text: (4-8) ||

text: Dempster

text: (26) || 33,115 || 74-71 |||- style="background-color:#bbffbb"| 146 || September 13|| @

text: Astros

text: || 6 - 2 ||

text: Trachsel

text: (7-10) ||

text: Williams

text: (8-15) || || 34,234 || 75-71 |||- style="background-color:#bbffbb"| 147 || September 14|| @

text: Cardinals

text: || 5 - 3 ||

text: Zambrano

text: (16-12) ||

text: Wainwright

text: (13-11) ||

text: Howry

text: (8) || 45,750 || 76-71 |||- style="background-color:#bbffbb"| 148 || September 15|| @

text: Cardinals

text: || 3 - 2 ||

text: Wood

text: (1-1) ||

text: Franklin

text: (4-4) ||

text: Dempster

text: (27) || 45,918 || 77-71 |||- style="background-color:#ffbbbb"| 149 || September 15|| @

text: Cardinals

text: || 4 - 3 ||

text: Piñeiro

text: (6-4) ||

text: Marshall

text: (7-8) ||

text: Isringhausen

text: (29) || 45,894 || 77-72 |||- style="background-color:#bbffbb"| 150 || September 16 || @

text: Cardinals

text: || 4 - 2 ||

text: Marquis

text: (12-8) ||

text: Mulder

text: (0-3) ||

text: Dempster

text: (28) || 45,735 || 78-72 |||- style="background-color:#bbffbb"| 151 || September 17 ||

text: Reds

text: || 7 - 6 ||

text: Ohman

text: (2-4) ||

text: Weathers

text: (2-6) || || 39,075 || 79-72 |||- style="background-color:#ffbbbb"| 152 || September 18 ||

text: Reds

text: || 5 - 2 ||

text: Harang

text: (16-4) ||

text: Zambrano

text: (16-13) ||

text: Weathers

text: (31) || 40,801 || 79-73 |||- style="background-color:#bbffbb"| 153 || September 19 ||

text: Reds

text: || 3 - 2 ||

text: Howry

text: (6-7) ||

text: Majewski

text: (0-3) || || 40,805 || 80-73 |||- style="background-color:#bbffbb"| 154 || September 21 ||

text: Pirates

text: || 13 - 8 ||

text: Eyre

text: (2-1) ||

text: Osoria

text: (0-2) || || 41,591 || 81-73 |||- style="background-color:#bbffbb"| 155 || September 22 ||

text: Pirates

text: || 9 - 5 ||

text: Hill

text: (10-8) ||

text: Duke

text: (3-8) || || 41,271 || 82-73 |||- style="background-color:#bbffbb"| 156 || September 23 ||

text: Pirates

text: || 8 - 0 ||

text: Zambrano

text: (17-13) ||

text: Gorzelanny

text: (14-9) || || 41,364 || 83-73 |||- style="background-color:#ffbbbb"| 157 || September 25|| @

text: Marlins

text: || 4 - 2 ||

text: Willis

text: (10-15) ||

text: Lilly

text: (15-8) ||

text: Tankersley

text: (1) || 16,044 || 83-74 |||- style="background-color:#ffbbbb"| 158 || September 26|| @

text: Marlins

text: || 7 - 4 ||

text: Kensing

text: (2-0) ||

text: Marquis

text: (12-9) ||

text: Gardner

text: (2) || 19,051 || 83-75 |||- style="background-color:#ffbbbb"| 159 || September 27|| @

text: Marlins

text: || 6 - 4 ||

text: Olsen

text: (10-15) ||

text: Trachsel

text: (7-11) ||

text: Gregg

text: (31) || 24,809 || 83-76 |||- style="background-color:#bbffbb"| 160 || September 28|| @

text: Reds

text: || 6 - 0 ||

text: Zambrano

text: (18-13) ||

text: Arroyo

text: (9-15) || || 32,193 || 84-76 |||- style="background-color:#bbffbb"| 161 || September 29|| @

text: Reds

text: || 4 - 0 ||

text: Hill

text: (11-8) ||

text: Harang

text: (16-6) || || 38,936 || 85-76 |||- style="background-color:#ffbbbb"| 162 || September 30|| @

text: Reds

text: || 8 - 4 ||

text: Bailey

text: (4-2) ||

text: Dempster

text: (2-7) || || 32,620 || 85-77 |||- | Legend:       = Win       = Loss       = Postponement<br>Bold = Cubs team member

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title="#5fd75f" |77| style="color:#000000;background:#5fd787;" title="#5fd787" |78| style="color:#000000;background:#5fd7af;" title="#5fd7af" |79| style="color:#000000;background:#5fd7d7;" title="#5fd7d7" |80| style="color:#000000;background:#5fd7ff;" title="#5fd7ff" |81| style="color:#000000;background:#5fff00;" title="#5fff00" |82| style="color:#000000;background:#5fff5f;" title="#5fff5f" |83| style="color:#000000;background:#5fff87;" title="#5fff87" |84| style="color:#000000;background:#5fffaf;" title="#5fffaf" |85| style="color:#000000;background:#5fffd7;" title="#5fffd7" |86| style="color:#000000;background:#5fffff;" title="#5fffff" |87|-| style="color:#ffffff;background:#870000;" title="#870000" |88| style="color:#ffffff;background:#87005f;" title="#87005f" |89| style="color:#ffffff;background:#870087;" title="#870087" |90| style="color:#ffffff;background:#8700af;" title="#8700af" |91| style="color:#ffffff;background:#8700d7;" title="#8700d7" |92| style="color:#ffffff;background:#8700ff;" title="#8700ff" |93| style="color:#ffffff;background:#875f00;" title="#875f00" |94| style="color:#ffffff;background:#875f5f;" title="#875f5f" |95| style="color:#ffffff;background:#875f87;" title="#875f87" |96| style="color:#ffffff;background:#875faf;" title="#875faf" |97| style="color:#ffffff;background:#875fd7;" title="#875fd7" |98| style="color:#ffffff;background:#875fff;" title="#875fff" |99| style="color:#ffffff;background:#878700;" title="#878700" |100| style="color:#ffffff;background:#87875f;" title="#87875f" |101| style="color:#ffffff;background:#878787;" title="#878787" |102| style="color:#ffffff;background:#8787af;" title="#8787af" |103| style="color:#ffffff;background:#8787d7;" title="#8787d7" |104| style="color:#ffffff;background:#8787ff;" title="#8787ff" |105| style="color:#000000;background:#87af00;" title="#87af00" |106| style="color:#000000;background:#87af5f;" title="#87af5f" |107| style="color:#000000;background:#87af87;" title="#87af87" |108| style="color:#000000;background:#87afaf;" title="#87afaf" |109| style="color:#000000;background:#87afd7;" title="#87afd7" |110| style="color:#000000;background:#87afff;" title="#87afff" |111| style="color:#000000;background:#87d700;" title="#87d700" |112| style="color:#000000;background:#87d75f;" title="#87d75f" |113| style="color:#000000;background:#87d787;" title="#87d787" |114| style="color:#000000;background:#87d7af;" title="#87d7af" |115| style="color:#000000;background:#87d7d7;" title="#87d7d7" |116| style="color:#000000;background:#87d7ff;" title="#87d7ff" |117| style="color:#000000;background:#87ff00;" title="#87ff00" |118| style="color:#000000;background:#87ff5f;" title="#87ff5f" |119| style="color:#000000;background:#87ff87;" title="#87ff87" |120| style="color:#000000;background:#87ffaf;" title="#87ffaf" |121| style="color:#000000;background:#87ffd7;" title="#87ffd7" |122| style="color:#000000;background:#87ffff;" title="#87ffff" |123|-| style="color:#ffffff;background:#af0000;" title="#af0000" |124| style="color:#ffffff;background:#af005f;" title="#af005f" |125| style="color:#ffffff;background:#af0087;" title="#af0087" |126| style="color:#ffffff;background:#af00af;" title="#af00af" |127| style="color:#ffffff;background:#af00d7;" title="#af00d7" |128| style="color:#ffffff;background:#af00ff;" title="#af00ff" |129| style="color:#ffffff;background:#af5f00;" title="#af5f00" |130| style="color:#ffffff;background:#af5f5f;" title="#af5f5f" |131| style="color:#ffffff;background:#af5f87;" title="#af5f87" |132| style="color:#ffffff;background:#af5faf;" title="#af5faf" |133| style="color:#ffffff;background:#af5fd7;" title="#af5fd7" |134| style="color:#ffffff;background:#af5fff;" title="#af5fff" |135| style="color:#ffffff;background:#af8700;" title="#af8700" |136| style="color:#ffffff;background:#af875f;" title="#af875f" |137| style="color:#ffffff;background:#af8787;" title="#af8787" |138| style="color:#ffffff;background:#af87af;" title="#af87af" |139| style="color:#ffffff;background:#af87d7;" title="#af87d7" |140| style="color:#ffffff;background:#af87ff;" title="#af87ff" |141| style="color:#000000;background:#afaf00;" title="#afaf00" |142| style="color:#000000;background:#afaf5f;" title="#afaf5f" |143| style="color:#000000;background:#afaf87;" title="#afaf87" |144| style="color:#000000;background:#afafaf;" title="#afafaf" |145| style="color:#000000;background:#afafd7;" title="#afafd7" |146| style="color:#000000;background:#afafff;" title="#afafff" |147| style="color:#000000;background:#afd700;" title="#afd700" |148| style="color:#000000;background:#afd75f;" title="#afd75f" |149| style="color:#000000;background:#afd787;" title="#afd787" |150| style="color:#000000;background:#afd7af;" title="#afd7af" |151| style="color:#000000;background:#afd7d7;" title="#afd7d7" |152| style="color:#000000;background:#afd7ff;" title="#afd7ff" |153| style="color:#000000;background:#afff00;" title="#afff00" |154| style="color:#000000;background:#afff5f;" title="#afff5f" |155| style="color:#000000;background:#afff87;" title="#afff87" |156| style="color:#000000;background:#afffaf;" title="#afffaf" |157| style="color:#000000;background:#afffd7;" title="#afffd7" |158| style="color:#000000;background:#afffff;" title="#afffff" |159|-| style="color:#ffffff;background:#d70000;" title="#d70000" |160| style="color:#ffffff;background:#d7005f;" title="#d7005f" |161| style="color:#ffffff;background:#d70087;" title="#d70087" |162| style="color:#ffffff;background:#d700af;" title="#d700af" |163| style="color:#ffffff;background:#d700d7;" title="#d700d7" |164| style="color:#ffffff;background:#d700ff;" title="#d700ff" |165| style="color:#ffffff;background:#d75f00;" title="#d75f00" |166| style="color:#ffffff;background:#d75f5f;" title="#d75f5f" |167| style="color:#ffffff;background:#d75f87;" title="#d75f87" |168| style="color:#ffffff;background:#d75faf;" title="#d75faf" |169| style="color:#ffffff;background:#d75fd7;" title="#d75fd7" |170| style="color:#ffffff;background:#d75fff;" title="#d75fff" |171| style="color:#ffffff;background:#d78700;" title="#d78700" |172| style="color:#ffffff;background:#d7875f;" title="#d7875f" |173| style="color:#ffffff;background:#d78787;" title="#d78787" |174| style="color:#ffffff;background:#d787af;" title="#d787af" |175| style="color:#ffffff;background:#d787d7;" title="#d787d7" |176| style="color:#ffffff;background:#d787ff;" title="#d787ff" |177| style="color:#000000;background:#d7af00;" title="#d7af00" |178| style="color:#000000;background:#d7af5f;" title="#d7af5f" |179| style="color:#000000;background:#d7af87;" title="#d7af87" |180| style="color:#000000;background:#d7afaf;" title="#d7afaf" |181| style="color:#000000;background:#d7afd7;" title="#d7afd7" |182| style="color:#000000;background:#d7afff;" title="#d7afff" |183| style="color:#000000;background:#d7d700;" title="#d7d700" |184| style="color:#000000;background:#d7d75f;" title="#d7d75f" |185| style="color:#000000;background:#d7d787;" title="#d7d787" |186| style="color:#000000;background:#d7d7af;" title="#d7d7af" |187| style="color:#000000;background:#d7d7d7;" title="#d7d7d7" |188| style="color:#000000;background:#d7d7ff;" title="#d7d7ff" |189| style="color:#000000;background:#d7ff00;" title="#d7ff00" |190| style="color:#000000;background:#d7ff5f;" title="#d7ff5f" |191| style="color:#000000;background:#d7ff87;" title="#d7ff87" |192| style="color:#000000;background:#d7ffaf;" title="#d7ffaf" |193| style="color:#000000;background:#d7ffd7;" title="#d7ffd7" |194| style="color:#000000;background:#d7ffff;" title="#d7ffff" |195|-| style="color:#ffffff;background:#ff0000;" title="#ff0000" |196| style="color:#ffffff;background:#ff005f;" title="#ff005f" |197| style="color:#ffffff;background:#ff0087;" title="#ff0087" |198| style="color:#ffffff;background:#ff00af;" title="#ff00af" |199| style="color:#ffffff;background:#ff00d7;" title="#ff00d7" |200| style="color:#ffffff;background:#ff00ff;" title="#ff00ff" |201| style="color:#ffffff;background:#ff5f00;" title="#ff5f00" |202| style="color:#ffffff;background:#ff5f5f;" title="#ff5f5f" |203| style="color:#ffffff;background:#ff5f87;" title="#ff5f87" |204| style="color:#ffffff;background:#ff5faf;" title="#ff5faf" |205| style="color:#ffffff;background:#ff5fd7;" title="#ff5fd7" |206| style="color:#ffffff;background:#ff5fff;" title="#ff5fff" |207| style="color:#ffffff;background:#ff8700;" title="#ff8700" |208| style="color:#ffffff;background:#ff875f;" title="#ff875f" |209| style="color:#ffffff;background:#ff8787;" title="#ff8787" |210| style="color:#ffffff;background:#ff87af;" title="#ff87af" |211| style="color:#ffffff;background:#ff87d7;" title="#ff87d7" |212| style="color:#ffffff;background:#ff87ff;" title="#ff87ff" |213| style="color:#000000;background:#ffaf00;" title="#ffaf00" |214| style="color:#000000;background:#ffaf5f;" title="#ffaf5f" |215| style="color:#000000;background:#ffaf87;" title="#ffaf87" |216| style="color:#000000;background:#ffafaf;" title="#ffafaf" |217| style="color:#000000;background:#ffafd7;" title="#ffafd7" |218| style="color:#000000;background:#ffafff;" title="#ffafff" |219| style="color:#000000;background:#ffd700;" title="#ffd700" |220| style="color:#000000;background:#ffd75f;" title="#ffd75f" |221| style="color:#000000;background:#ffd787;" title="#ffd787" |222| style="color:#000000;background:#ffd7af;" title="#ffd7af" |223| style="color:#000000;background:#ffd7d7;" title="#ffd7d7" |224| style="color:#000000;background:#ffd7ff;" title="#ffd7ff" |225| style="color:#000000;background:#ffff00;" title="#ffff00" |226| style="color:#000000;background:#ffff5f;" title="#ffff5f" |227| style="color:#000000;background:#ffff87;" title="#ffff87" |228| style="color:#000000;background:#ffffaf;" title="#ffffaf" |229| style="color:#000000;background:#ffffd7;" title="#ffffd7" |230| style="color:#000000;background:#ffffff;" title="#ffffff" |231|-

text: In color theory, a tint is the mixture of a color with white, which increases lightness, and a shade is the mixture of a color with black, which reduces lightness. A tone is produced either by the mixture of a color with gray, or by both tinting and shading. Mixing a color with any neutral color (including black, gray and white) reduces the chroma, or colorfulness, while the hue remains unchanged.

text: In

text: color theory

text: , a tint is the mixture of a

text: color

text: with

text: white

text: , which increases

text: lightness

text: , and a shade is the mixture of a color with

text: black

text: , which reduces lightness. A tone is produced either by the mixture of a color with

text: gray

text: , or by both tinting and shading. Mixing a color with any

text: neutral color

text: (including black, gray and white) reduces the

text: chroma

text: , or

text: colorfulness

text: , while the

text: hue

text: remains unchanged.

text: Ishihara graduated from medicine in 1905 on a military scholarship and immediately joined the Imperial Japanese Army as a doctor, serving mainly as a surgeon. He later changed specialties to ophthalmology.  In 1908 he returned to the University of Tokyo where he dedicated himself to ophthalmic research. In 1910 he became an instructor at the Army Medical College. There, in addition to seeing patients, he conducted research on "battlefield ophthalmology" and how to select superior soldiers.  While working at the Military Medical School he was asked to devise a test to screen military recruits for abnormalities of color vision. His assistant was a color blind physician who helped him test the plates. The first charts were hand painted by Ishihara in water colors using hiragana symbols.

text: Ishihara graduated from medicine in 1905 on a military scholarship and immediately joined the

text: Imperial Japanese Army

text: as a

text: doctor

text: , serving mainly as a

text: surgeon

text: . He later changed specialties to

text: ophthalmology

text: .  In 1908 he returned to the

text: University of Tokyo

text: where he dedicated himself to ophthalmic research. In 1910 he became an instructor at the

text: Army Medical College

text: . There, in addition to seeing patients, he conducted research on "battlefield ophthalmology" and how to select superior soldiers.  While working at the Military Medical School he was asked to devise a test to screen military recruits for abnormalities of color vision. His assistant was a color blind physician who helped him test the plates. The first charts were hand painted by Ishihara in water colors using

text: hiragana

text: symbols.

text: The color mint green is a light tint of the color mint.

text: The color mint green is a light tint of the color

text: mint

text: Ramachandran, a neuroscientist and author, studied the case of a grapheme-color synesthete who was also color blind.  While he couldn't see certain colors with his eyes, he could still "see" those colors when looking at certain letters.  Because he didn't have a name for those colors, he called them "martian colors."

text: The source of the color displayed at right is the ISCC-NBS Color List (see Page C, coffee, color sample #58).

text: |- style="background-color:#ffbbbb"| 1 || April 2 || Marlins || 9 – 2 || Willis (1-0) || Patterson (0-1) || || 40,389 || 0-1|- style="background-color:#ffbbbb"| 2 || April 3 || Marlins || 9 – 3 || Olsen (1-0) || Hill (0-1) || || 20,894 || 0-2|- style="background-color:#bbffbb"| 3 || April 4 || Marlins || 7 – 6 || Rauch (1-0) || Julio (0-1) || || 18,835 || 1-2|- style="background-color:#ffbbbb"| 4 || April 5 || D-backs || 4 – 3 || González (1-0) || Bergmann (0-1) || Valverde (2) || 16,017 || 1-3|- style="background-color:#ffbbbb"| 5 || April 6 || D-backs || 7 – 1 || Owings (1-0) || Williams (0-1) || || 19,234 || 1-4|- style="background-color:#ffbbbb"| 6 || April 7 || D-backs || 7 – 1 || Webb (1-0) || Patterson (0-2) || || 16,617 || 1-5|- style="background-color:#ffbbbb"| 7 || April 8 || D-backs || 3 – 1 || Hernández (1-0) || Hill (0-2)  || Valverde (3) || 17,244 || 1-6|- style="background-color:#ffbbbb"| 8 || April 10 || @ Braves || 8 – 0 || Hudson (1-0) || Chico (0-1) || || 18,396 || 1-7|- style="background-color:#ffbbbb"| 9 || April 11 || @ Braves || 8 – 3 || James (2-0) || Williams (0-2) || || 15,631 || 1-8|- style="background-color:#"bbffbb"| 10 || April 12 || @ Braves || 2 – 0 || Colomé (1-0) || Smoltz (1-1) || Cordero (1) || 23,897 || 2-8|- style="background-color:#ffbbbb"| 11 || April 13 || @ Mets || 3 – 2 || Heilman (1-1) || R. Wagner (0-1) || B. Wagner (3) || 47,311 || 2-9|- style="background-color:#bbffbb"| 12 || April 14 || @ Mets || 6 – 2 || Hill (1-2) || Hernández (1-1) ||  || 53,560 || 3-9|- style="background-color:#bbbbbb"| -- || April 15 || @ Mets || colspan=5|Postponed (rain) Rescheduled for July 28 as part of a doubleheader || 3-9|- style="background-color:#bbffbb"| 13 || April 16 || Braves || 5 – 1 || Chico (1-1) || James (2-1) || || 16,316 || 4-9|- style="background-color:#ffbbbb"| 14 || April 17 || Braves || 6 – 4 || Smoltz (2-1) || Williams (0-3) || Wickman (4) || 17,791 || 4-10|- style="background-color:#bbffbb"| 15 || April 18 || Phillies || 5 – 4 (13) || Speigner (1-0) || Rosario (0-1) || || 18,584 || 5-10|- style="background-color:#ffbbbb"| 16 || April 19 || Phillies || 4 – 2 || Moyer (2-1) || Patterson (0-3) || Gordon (3) || 18,671 || 5-11|- style="background-color:#bbffbb"| 17 || April 20 || @ Marlins || 6 – 5 (14) || Colomé (2-0) || Gardner (0-1) || Rivera (1) || 16,469 || 6-11|- style="background-color:#ffbbbb"| 18 || April 21 || @ Marlins || 9 – 3 || Sánchez (2-0) || Chico (1-2) || || 24,107 || 6-12|- style=""|- style="background-color:#ffbbbb"| 19 || April 22 || @ Marlins || 12 – 6 || Obermueller (1-0)  || Williams (0-4) || Gregg (1) || 18,443 || 6-13|- style="background-color:#ffbbbb"| 20 || April 24 || @ Phillies || 6 – 3 || Alfonseca (1-0) || Bowie (0-1) || Gordon (4) || 24,745 || 6-14|- style="background-color:#ffbbbb"| 21 || April 25 || @ Phillies || 9 – 3 || Lieber (1-0) || Patterson (0-4) || || 23,526 || 6-15|- style="background-color:#bbffbb"| 22 || April 26 || @ Phillies || 4 – 2 || Hill (2-2) || Hamels (2-1) || Cordero (2) || 26,572 || 7-15|- style="background-color:#bbffbb"| 23 || April 27 || Mets || 4 – 3 || Chico (2-2) || Pérez (2-2) || Cordero (3) || 21,662 || 8-15|- style="background-color:#ffbbbb"| 24 || April 28 || Mets || 6 – 2 (12) || Sele (1-0) || Rivera (0-1) || || 29,292 || 8-16|- style="background-color:#ffbbbb"| 25 || April 29 || Mets || 1 – 0 || Maine (4-0) || Bergmann (0-2) || B. Wagner (4) || 27,361 || 8-17|- style="background-color:#bbffbb"| 26 || April 30 || @ Padres || 3 – 2 || Patterson (1-4) || Peavy (3-1) || Cordero (4) || 19,769 || 9-17|- style="background-color:#ffbbbb"| 27 || May 1 || @ Padres || 3 – 0 || Young (3-2) || Hill (2-3) || Hoffman (6) || 19,438 || 9-18|- style="background-color:#ffbbbb"| 28 || May 2 || @ Padres || 7 – 3 || Brocail (2-0) || Chico (2-3) || || 22,153 || 9-19|- style="background-color:#ffbbbb"| 29 || May 4 || @ Cubs || 6 – 4 || Zambrano (3-2) || Bergmann (0-3) || Dempster (6) ||  39,444 || 9-20|- style="background-color:#ffbbbb"| 30 || May 5 || @ Cubs || 5 – 3 || R. Hill (4-1) || Patterson (1-5) || Dempster (7) || 40,267 || 9-21|- style="background-color:#ffbbbb"| 31 || May 6 || @ Cubs || 4 – 3 (10) || Dempster (1-1) || Wagner (0-2) || || 40,481 || 9-22|- style="background-color:#ffbbbb"| 32 || May 7 || @ Brewers || 3 – 0 || Capuano (5-0) || Chico (2-4) || F. Cordero (13) || 17,751 || 9-23|- style="background-color:#ffbbbb"| 33 || May 8 || @ Brewers || 6 – 4 || Bush (3-3) || Simontacchi (0-1) || F. Cordero (14) || 19,398 || 9-24|- style="background-color:#ffbbbb"| 34 || May 9 || @ Brewers || 3 – 1 || Turnbow (1-0) || Bowie (0-2) || F. Cordero (15) || 24,658 || 9-25|- style="background-color:#bbffbb"| 35 || May 11 || Marlins || 6 – 0 || Hill (3-3) || Olsen (3-3) || || 23,006 || 10-25|- style="background-color:#bbffbb"| 36 || May 12 || Marlins || 7 – 3 || Rauch (2-0) || Tankersley (2-1) || || 19,278 || 11-25|- style="background-color:#bbffbb"| 37 || May 13 || Marlins || 6 – 4 || Simontacchi (1-1) || Obermueller (1-2) || Rauch (1) || 20,486 || 12-25|- style="background-color:#bbffbb"| 38 || May 14 || Braves || 2 – 1 || Bergmann (1-3) || Smoltz (5-2) || Colomé (1) || 18,829 || 13-25|- style="background-color:#ffbbbb"| 39 || May 15 || Braves || 6 – 2 || Hudson (5-1) || Williams (0-5) || || 21,258 || 13-26|- style="background-color:#bbffbb"| 40 || May 16 || Braves || 6 – 4 || Traber (1-0) || Davies (1-2) || Rauch (2) || 20,329 || 14-26|- style="background-color:#bbffbb"| 41 || May 17 || Braves || 4 – 3 || Chico (3-4) || Paronto (2-1) || Rauch (3) || 24,631 || 15-26|- style="background-color:#ffbbbb"| 42 || May 18 || Orioles || 5 – 4 || Trachsel (2-3) || Simontacchi (1-2) || Ray (9) || 22,375 || 15-27|- style="background-color:#ffbbbb"| 43 || May 19 || Orioles || 3 – 2 (11) || Parrish (2-0) || Abreu (0-1) || Ray (10) || 30,661 || 15-28|- style="background-color:#bbffbb"| 44 || May 20 || Orioles || 4 – 3 || Colomé (3-0) || Báez (0-3) || Cordero (5) || 29,281 || 16-28|- style="background-color:#ffbbbb"| 45 || May 21 || @ Reds || 8 – 7 || Coutlangus (2-0) || Rauch (2-1) || Weathers (9) || 15,271 || 16-29|- style="background-color:#bbffbb"| 46 || May 22 || @ Reds || 8 – 4 || Colomé (4-0) || Coutlangus (2-1) || || 16,732 || 17-29|- style="background-color:#bbffbb"| 47 || May 23 || @ Reds || 12 – 7 || Simontacchi  (2-2)  || Lohse (1-6) || || 31,971 || 18-29|- style="background-color:#bbffbb"| 48 || May 24 || @ Reds || 4 – 3 || Bacsik (1-0) || Belisle (4-4) || Cordero  (6) || 19,541 || 19-29|- style="background-color:#bbffbb"| 49 || May 25 || @ Cardinals || 5 – 4 || Bowie (1-2) || Reyes (0-8) || Cordero (7) || 43,618 || 20-29|- style="background-color:#ffbbbb"| 50 || May 26 || @ Cardinals || 8 – 6 || Thompson (3-1) || Speigner (1-1) || Isringhausen (13) || 44,270 || 20-30|- style="background-color:#bbffbb"| 51 || May 27 || @ Cardinals || 7 – 2 || Rivera (1-1) || Wainwright (4-4) || || 44,578 || 21-30|- style="background-color:#ffbbbb"| 52 || May 29 || Dodgers || 10 – 0 || Penny (7-1) || Simontacchi (2-3) || || 18,483 || 21-31|- style="background-color:#ffbbbb"| 53 || May 30 || Dodgers || 5 – 0 || Lowe (5-5) || Bacsik (1-1) || || 22,360 || 21-32|- style="background-color:#bbffbb"| 54 || May 31 || Dodgers || 11 – 4 || Bowie (2-2) || Hendrickson (2-3) || || 20,982 || 22-32|- style="background-color:#bbffbb"| 55 || June 1 || Padres || 4 – 3 (10) || Rauch (3-1) || Meredith (2-3) || || 22,354 || 23-32|- style="background-color:#ffbbbb"| 56 || June 2 || Padres || 11 – 3 || Germano (4-0) || Speigner (1-2) || || 21,635 || 23-33|- style="background-color:#ffbbbb"| 57 || June 3 || Padres || 7 – 3 || Wells (3-3) || Simontacchi (2-4) || || 26,967 || 23-34|- style="background-color:#ffbbbb"| 58 || June 5 || Pirates || 7 – 6 || Chacón (2-0) || Bacsik (1-2) || Capps (2) || 19,169 || 23-35|- style="background-color:#bbffbb"| 59 || June 6 || Pirates || 6 – 5 || Cordero (1-0) || Torres (0-3) || || 24,755 || 24-35|- style="background-color:#ffbbbb"| 60 || June 7 || Pirates || 3 – 2 || Capps (3-2) || Cordero (1-1) || || 25,622 || 24-36|- style="background-color:#bbffbb"| 61 || June 8 || @ Twins || 8 – 5 || Simontacchi (3-4) || Silva (3-7) || Rivera (2) || 25,144 || 25-36|- style="background-color:#bbffbb"| 62 || June 9 || @ Twins || 3 – 1 || Speigner (2-2) || Santana (6-6) || Cordero (8) || 39,742 || 26-36|- style="background-color:#ffbbbb"| 63 || June 10 || @ Twins || 6 – 3 || Bonser (5-2) || Bacsik (1-3) || Nathan (14) || 31,035 || 26-37|- style="background-color:#bbffbb"| 64 || June 12 || @ Orioles || 7 – 4 || Bowie (3-2) || Cabrera (5-7) || Cordero (9) || 21,151 || 27-37|- style="background-color:#bbffbb"| 65 || June 13 || @ Orioles || 9 – 6 (11) || Traber (2-0) || Ray (3-5) || Rivera (3) || 21,782 || 28-37|- style="background-color:#bbffbb"| 66 || June 14 || @ Orioles || 3 – 1 || Simontacchi (4-4) || Bradford (0-3) || Cordero (10) || 20,770 || 29-37|- style="background-color:#ffbbbb"| 67 || June 15 || @ Blue Jays || 7 – 2 || Halladay (7-2) || Bacsik (1-4) || || 22,042 || 29-38|- style="background-color:#ffbbbb"| 68 || June 16 || @ Blue Jays || 7 – 3 || Marcum (4-2) || Speigner (2-3) || || 26,342 || 29-39|- style="background-color:#bbffbb"| 69 || June 17 || @ Blue Jays || 4 – 2 || Bowie (4-2) || Towers (6-6) || Cordero (11) || 28,867 || 30-39|- style="background-color:#ffbbbb"| 70 || June 18 || Tigers || 9 – 8 || Maroth (5-2) || Chico (3-5) || || 22,562 || 30-40|- style="background-color:#ffbbbb"| 71 || June 19 || Tigers || 15 – 1 || Durbin (6-3) || Simontacchi (4-5) || || 22,227 || 30-41|- style="background-color:#ffbbbb"| 72 || June 20 || Tigers || 8 – 4 || Bonderman (8-0) || Rivera (1-2) || || 26,637 || 30-42|- style="background-color:#bbffbb"| 73 || June 22 || Indians || 4 – 1 || Rivera (2-2) || Carmona (8-3) || Cordero (12) || 24,534 || 31-42|- style="background-color:#ffbbbb"| 74 || June 23 || Indians || 4 – 3 || Mastny (5-2) || Cordero (1-2) || Borowski (21) || 32,539 || 31-43|- style="background-color:#bbffbb"| 75 || June 24 || Indians || 3 – 1 || Simontacchi (5-5) || Westbrook (1-3) || Cordero (13) || 26,413 || 32-43|- style="background-color:#ffbbbb"| 76 || June 25 || @ Braves || 4 – 1 || Hudson (7-5) || Bergmann (1-4) || Wickman (13) || 25,375 || 32-44|- style="background-color:#ffbbbb"| 77 || June 26 || @ Braves || 6 – 2 || Carlyle (2-2) || Bacsik (1-5) || Wickman (14) || 22,508 || 32-45|- style="background-color:#ffbbbb"| 78 || June 27 || @ Braves || 13 – 0 || Smoltz (9-4) || Bowie (4-3) || || 29,144 || 32-46|- style="background-color:#ffbbbb"| 79 || June 29 || @ Pirates || 3 – 2 || Capps (4-4) || Rauch (3-2) || || 32,361 || 32-47|- style="background-color:#ffbbbb"| 80 || June 30 || @ Pirates || 7 – 2 || Gorzelanny (8-4) || Bergmann (1-5) || || 26,959 || 32-48|- style="background-color:#bbffbb"| 81 || July 1 || @ Pirates || 3 – 2 || Bacsik (2-5) || Maholm (4-11) || Cordero (14) || 19,149 || 33-48|- style="background-color:#ffbbbb"| 82 || July 2 || Cubs || 7 – 2 || Lilly (7-4) || Simontacchi (5-6) || || 24,015 || 33-49|- style="background-color:#ffbbbb"| 83 || July 3 || Cubs || 3 – 1 || Zambrano (10-6) || Redding (0-1) || Howry (3) || 30,106 || 33-50|- style="background-color:#bbffbb"| 84 || July 4 || Cubs || 6 – 0 || Chico (4-5) || Hill (5-6) || || 39,207 || 34-50|- style="background-color:#ffbbbb"| 85 || July 5 || Cubs || 4 – 2 || Ohman (1-4) || Ayala (0-1) || Howry (4) || 22,594 || 34-51|- style="background-color:#ffbbbb"| 86 || July 6 || Brewers || 6 – 2 || Bush (7-7) || Bacsik (2-6) || || 18,961 || 34-52|- style="background-color:#bbffbb"| 87 || July 7 || Brewers || 5 – 4 || Simontacchi (6-6) || Suppan (8-8) || C. Cordero (15) || 24,774 || 35-52|- style="background-color:#bbffbb"| 88 || July 8 || Brewers || 7 – 2 || Redding (1-1) || Capuano (5-6) || || 20,637 || 36-52|- style=" background:#bbb;"|colspan=9| All–Star Break (July 9–11)|- style="background-color:#bbffbb"| 89 || July 13 || @ Marlins || 14 – 10 || Rivera (3-2) || Willis (7-8) || || 11,438 || 37-52|- style="background-color:#ffbbbb"| 90 || July 14 || @ Marlins || 5 – 2 || Mitre (4-4) || Chico (4-6) || Gregg (19) || 21,012 || 37-53|- style="background-color:#ffbbbb"| 91 || July 15 || @ Marlins || 5 – 3 || Olsen (7-7) || Simontacchi (6-7) || Gregg (20) || 12,119 || 37-54|- style="background-color:#bbffbb"| 92 || July 16 || Astros || 4 – 3 || Rivera (4-2) || Williams (4-11) || Cordero (16) || 22,392 || 38-54|- style="background-color:#ffbbbb"| 93 || July 17 || Astros || 4 – 2 || Sampson (7-6) || Redding (1-2) || Lidge (1) || 22,362 || 38-55|- style="background-color:#bbffbb"| 94 || July 18 || Astros || 7 – 6 || Bergmann (2-5) || Jennings (1-6) || Cordero (17) || 27,119 || 39-55|- style="background-color:#bbffbb"| 95 || July 19 || Rockies || 5 – 4 (10) || Rauch (4-2) || Hawkins (1-5) || || 20,573 || 40-55|- style="background-color:#ffbbbb"| 96 || July 20 || Rockies || 3 – 1 || Cook (6-6) || Traber (2-1) || Corpas (4) || 27,581 || 40-56|- style="background-color:#bbffbb"| 97 || July 21 || Rockies || 3 – 0 || Bacsik (3-6) || R. López (5-3) || Cordero (18) || 31,674 || 41-56|- style="background-color:#bbffbb"| 98 || July 22 || Rockies || 3 – 0 || Rauch (5-2) || Julio (0-3) || Cordero (19) || 21,793 || 42-56|- style="background-color:#ffbbbb"| 99 || July 24 || @ Phillies || 4 – 3 || Madson (2-2) || Ayala (0-2) || Alfonseca (8) || 40,110 || 42-57|- style="background-color:#ffbbbb"| 100 || July 25 || @ Phillies || 7 – 5 (14) || Condrey (4-0) || Booker (0-1) || || 44,931 || 42-58|- style="background-color:#bbffbb"| 101 || July 26 || @ Phillies || 7 – 6 || Rauch (6-2) || Mesa (1-3) || Cordero (20) || 43,413 || 43-58|- style="background-color:#bbffbb"| 102 || July 27 || @ Mets || 6 – 2 || Bacsik (4-6) || Sosa (7-6) || || 51,179 || 44-58|- style="background-color:#ffbbbb"| 103 || July 28 (1) || @ Mets || 3 – 1 || Hernández (7-4) || Rivera (4-3) || Wagner (24) || 51,947 || 44-59|- style="background-color:#bbffbb"| 104 || July 28 (2) || @ Mets || 6 – 5 || Rauch (7-2) || Feliciano (2-2) || Cordero (21) || 46,265 || 45-59|- style="background-color:#ffbbbb"| 105 || July 29 || @ Mets || 5 – 0 (5) || Maine (12-5) || Traber (2-2) || || 47,264 || 45-60|- style="background-color:#bbffbb"| 106 || July 31 || Reds || 6 – 3 || Chico (5-6) || Livingston (2-2) || Cordero (22) || 20,165 || 46-60|- style="background-color:#bbffbb"| 107 || August 1 || Reds || 7 – 2 || Lannan (1-0) || Arroyo (4-12) || || 28,944 || 47-60|- style="background-color:#bbffbb"| 108 || August 2 || Reds || 7 – 3 || Bacsik (5-6) || Dumatrait (0-1) || || 26,223 || 48-60|- style="background-color:#bbffbb"| 109 || August 3 || Cardinals || 3 – 2 || Cordero (2-2) || Franklin (4-1) || || 27,992 || 49-60|- style="background-color:#bbffbb"| 110 || August 4 || Cardinals || 12 – 1 || Hanrahan (1-0) || Piñeiro (1-2) || || 29,252 || 50-60|- style="background-color:#bbffbb"| 111 || August 5 || Cardinals || 6 – 3 || King (1-0) || Franklin (4-2) || Cordero (23) || 33,517 || 51-60|- style="background-color:#ffbbbb"| 112 || August 6 || @ Giants || 3 – 2 (11) || Hennessey (2-3) || King (1-1) || || 43,052 || 51-61|- style="background-color:#bbffbb"| 113 || August 7 || @ Giants || 8 – 6 || Schroder (1-0) || Correia (1-6) || Cordero (24) || 43,154 || 52-61|- style="background-color:#ffbbbb"| 114 || August 8 || @ Giants || 5 – 0 || Cain (4-12) || Redding (1-3) || || 42,991 || 52-62|- style="background-color:#bbffbb"| 115 || August 9 || @ Giants || 3 – 1 || Hanrahan (2-0) || Misch (0-2) || Cordero (25) || 41,555 || 53-62|- style="background-color:#ffbbbb"| 116 || August 10 || @ D-backs || 11 – 4 || Hernández (8-7) || Rivera (4-4) || || 31,110 || 53-63|- style="background-color:#ffbbbb"| 117 || August 11 || @ D-backs || 1 – 0 || Webb (12-8) || Lannan (1-1) || || 32,121 || 53-64|- style="background-color:#bbffbb"| 118 || August 12 || @ D-backs || 7 – 6 || Rauch (8-2) || Valverde (1-4) || Cordero (26) || 29,839 || 54-64|- style="background-color:#ffbbbb"| 119 || August 14 || Phillies || 3 – 2 || Alfonseca (4-1) || Rauch (8-3) || Myers (10) || 27,128 || 54-65|- style="background-color:#bbffbb"| 120 || August 15 || Phillies || 4 – 2 || Redding (2-3) || Kendrick (5-3) || Cordero (27) || 25,575 || 55-65|- style="background-color:#ffbbbb"| 121 || August 16 || Phillies || 4 – 2 || Hamels (14-5) || Hanrahan (2-1) || Myers (11) || 27,308 || 55-66|- style="background-color:#ffbbbb"| 122 || August 17 || Mets || 6 – 2 || Glavine (11-6) || Chico (5-7) || || 23,636 || 55-67|- style="background-color:#ffbbbb"| 123 || August 18 || Mets || 7 – 4 || Pérez (11-8) || Lannan (1-2) || Wagner (29) || 35,157 || 55-68|- style="background-color:#ffbbbb"| 124 || August 19 || Mets || 8 – 2 || Hernández (8-4) || Rauch (8-4) || || 29,092 || 55-69|- style="background-color:#bbffbb"| 125 || August 20 || @ Astros || 7 – 0 || Redding (3-3) || Jennings (2-9) || || 30,374 || 56-69|- style="background-color:#bbffbb"| 126 || August 21 || @ Astros || 11 – 6 || Hanrahan (3-1) || Rodríguez (7-12) || || 34,073 || 57-69|- style="background-color:#ffbbbb"| 127 || August 22 || @ Astros || 3 – 2 || Williams (8-12) || Bacsik (5-7) || Lidge (12) || 32,023 || 57-70|- style="background-color:#bbffbb"| 128 || August 23 || @ Astros || 7 – 6 || Lannan (2-2) || Gutiérrez (0-1) || Cordero (28) || 36,407 || 58-70|- style="background-color:#ffbbbb"| 129 || August 24 || @ Rockies || 6 – 5 || Fuentes (1-5) || Cordero (2-3) || || 25,232 || 58-71|- style="background-color:#ffbbbb"| 130 || August 25 || @ Rockies || 5 – 1 || U. Jiménez (3-2) || Redding (3-4) || || 27,179 || 58-72|- style="background-color:#ffbbbb"| 131 || August 26 || @ Rockies || 10 – 5 || Dessens (2-1) || Hanrahan (3-2) || || 24,086 || 58-73|- style="background-color:#ffbbbb"| 132 || August 27 || @ Dodgers || 5 – 4 || Lowe (11-11) || Bacsik (5-8) || Saito (35) || 46,944 || 58-74|- style="background-color:#ffbbbb"| 133 || August 28 || @ Dodgers || 4 – 3 || Billingsley (9-4) || Schroder (1-1) || Saito (36) || 49,698 || 58-75|- style="background-color:#ffbbbb"| 134 || August 29 || @ Dodgers || 10 – 9 (12) || Proctor (5-5) || Rivera (4-5) || || 41,913 || 58-76|- style="background-color:#ffbbbb"| 135 || August 31 || Giants || 3 – 2 || Correia (3-6) || Redding (3-5) || Hennessey (17) || 25,169 || 58-77|- style="background-color:#bbffbb"| 136 || September 1 || Giants || 4 – 1 || Hanrahan (4-2) || Sánchez (1-3) || Cordero (29) || 30,221 || 59-77|- style="background-color:#bbffbb"| 137 || September 2 || Giants || 2 – 1 || Cordero (3-3) || Wilson (1-1) || || 27,310 || 60-77|- style="background-color:#bbffbb"| 138 || September 3 || Marlins || 6 – 3 || Bergmann (3-5) || VandenHurk (4-5) || Cordero (30) || 27,592 || 61-77|- style="background-color:#bbffbb"| 139 || September 4 || Marlins || 4 – 3 || Schroder (2-1) || Gregg (0-5) || || 15,611 || 62-77|- style="background-color:#bbffbb"| 140 || September 5 || Marlins || 6 – 4 || Ayala (1-2) || Lindstrom (2-4) || Cordero (31) || 19,222 || 63-77|- style="background-color:#ffbbbb"| 141 || September 7 || @ Braves || 7 – 1 || Smoltz (13-7) || Hanrahan (4-2) || || 31,116 || 63-78|- style="background-color:#ffbbbb"| 142 || September 8 || @ Braves || 9 – 2 || James (10-10) || Chico (5-8) || || 36,940 || 63-79|- style="background-color:#bbffbb"| 143 || September 9 || @ Braves || 7 – 4 || Bergmann (4-5) || Cormier (2-5) || Cordero (32) || 31,582 || 64-79|- style="background-color:#bbffbb"| 144 || September 10 || @ Marlins || 5 – 4 || Hill (4-3) || Olsen (9-13) || Cordero (33) || 12,345 || 65-79|- style="background-color:#ffbbbb"| 145 || September 11 || @ Marlins || 13 – 8 || Lindstrom (3-4) || Schroder (2-2) || || 11,078 || 65-80|- style="background-color:#ffbbbb"| 146 || September 12 || @ Marlins || 5 – 4 (12) || Barone (1-2) || Rivera (4-6) || || 10,121 || 65-81|- style="background-color:#ffbbbb"| 147 || September 14 || Braves || 8 – 5 (13) || Ascanio (1-1) || Colomé (4-1) || || 18,568 || 65-82|- style="background-color:#bbffbb"| 148 || September 15 || Braves || 7 – 4 || Bergmann (5-5) || Cormier (2-6) || Cordero (34) || 26,866 || 66-82|- style="background-color:#ffbbbb"| 149 || September 16 || Braves || 3 – 0 || Hudson (16-8) || Hill (4-4) || || 23,935 || 66-83|- style="background-color:#bbffbb"| 150 || September 17 || Mets || 12 – 4 || Albaladejo (1-0) || Sele (3-2) || || 18,678 || 67-83|- style="background-color:#bbffbb"| 151 || September 18 || Mets || 9 – 8 || Colomé (5-1) || Maine (14-10) || Cordero (35) || 19,966 || 68-83|- style="background-color:#ffbbbb"| 152 || September 19 || Mets || 8 – 4 || Pelfrey (3-7) || Chico (5-9) || || 20,558 || 68-84|- style="background-color:#ffbbbb"| 153 || September 20 || Phillies || 7 – 6 || Romero (2-2) || Albaladejo (1-1) || Myers (18) || 19,966 || 68-85|- style="background-color:#ffbbbb"| 154 || September 21 || Phillies || 6 – 3 || Eaton (10-9) || Hill (4-5) || Myers (19) || 26,949 || 68-86|- style="background-color:#ffbbbb"| 155 || September 22 || Phillies || 4 – 1 (10) || Myers (5-7) || Schroder (2-3) || Condrey (2) || 26,412 || 68-87|- style="background-color:#bbffbb"| 156 || September 23 || Phillies || 5 – 3 || Ayala (2-2) || Alfonseca (5-2) || Cordero (36) || 40,519 || 69-87|- style="background-color:#bbffbb"| 157 || September 24 || @ Mets || 13 – 4 || Chico (6-9) || Pelfrey (3-8) || || 49,164 || 70-87|- style="background-color:#bbffbb"| 158 || September 25 || @ Mets || 10 – 9 || Bergmann (6-5) || Glavine (13-7) || Rauch (4) || 49,244 || 71-87|- style="background-color:#bbffbb"| 159 || September 26 || @ Mets || 9 – 6 || Hanrahan (5-3) || Smith (3-2) || Ayala (1) || 51,940 || 72-87|- style="background-color:#ffbbbb"| 160 || September 28 || @ Phillies || 6 – 0 || Hamels (15-5) || Redding (3-6) || || 45,084 || 72-88|- style="background-color:#bbffbb"| 161 || September 29 || @ Phillies || 4 – 2 || Chico (7-9) || Eaton (10-10) || Cordero (37) || 44,532 || 73-88|- style="background-color:#ffbbbb"| 162 || September 30 || @ Phillies || 6 – 1 || Moyer (14-12) || Bergmann (6-6) || || 44,865 || 73-89

text: |- style="background-color:#ffbbbb"| 1 || April 2 ||

text: Marlins

text: || 9 – 2 ||

text: Willis

text: (1-0) ||

text: Patterson

text: (0-1) || || 40,389 || 0-1|- style="background-color:#ffbbbb"| 2 || April 3 ||

text: Marlins

text: || 9 – 3 ||

text: Olsen

text: (1-0) ||

text: Hill

text: (0-1) || || 20,894 || 0-2|- style="background-color:#bbffbb"| 3 || April 4 ||

text: Marlins

text: || 7 – 6 ||

text: Rauch

text: (1-0) ||

text: Julio

text: (0-1) || || 18,835 || 1-2|- style="background-color:#ffbbbb"| 4 || April 5 ||

text: D-backs

text: || 4 – 3 ||

text: González

text: (1-0) ||

text: Bergmann

text: (0-1) ||

text: Valverde

text: (2) || 16,017 || 1-3|- style="background-color:#ffbbbb"| 5 || April 6 ||

text: D-backs

text: || 7 – 1 ||

text: Owings

text: (1-0) ||

text: Williams

text: (0-1) || || 19,234 || 1-4|- style="background-color:#ffbbbb"| 6 || April 7 ||

text: D-backs

text: || 7 – 1 ||

text: Webb

text: (1-0) ||

text: Patterson

text: (0-2) || || 16,617 || 1-5|- style="background-color:#ffbbbb"| 7 || April 8 ||

text: D-backs

text: || 3 – 1 ||

text: Hernández

text: (1-0) ||

text: Hill

text: (0-2)  ||

text: Valverde

text: (3) || 17,244 || 1-6|- style="background-color:#ffbbbb"| 8 || April 10 || @

text: Braves

text: || 8 – 0 ||

text: Hudson

text: (1-0) ||

text: Chico

text: (0-1) || || 18,396 || 1-7|- style="background-color:#ffbbbb"| 9 || April 11 || @

text: Braves

text: || 8 – 3 ||

text: James

text: (2-0) ||

text: Williams

text: (0-2) || || 15,631 || 1-8|- style="background-color:#"bbffbb"| 10 || April 12 || @

text: Braves

text: || 2 – 0 ||

text: Colomé

text: (1-0) ||

text: Smoltz

text: (1-1) ||

text: Cordero

text: (1) || 23,897 || 2-8|- style="background-color:#ffbbbb"| 11 || April 13 || @

text: Mets

text: || 3 – 2 ||

text: Heilman

text: (1-1) ||

text: R. Wagner

text: (0-1) ||

text: B. Wagner

text: (3) || 47,311 || 2-9|- style="background-color:#bbffbb"| 12 || April 14 || @

text: Mets

text: || 6 – 2 ||

text: Hill

text: (1-2) ||

text: Hernández

text: (1-1) ||  || 53,560 || 3-9|- style="background-color:#bbbbbb"| -- || April 15 || @

text: Mets

text: || colspan=5|Postponed (rain) Rescheduled for July 28 as part of a doubleheader || 3-9|- style="background-color:#bbffbb"| 13 || April 16 ||

text: Braves

text: || 5 – 1 ||

text: Chico

text: (1-1) ||

text: James

text: (2-1) || || 16,316 || 4-9|- style="background-color:#ffbbbb"| 14 || April 17 ||

text: Braves

text: || 6 – 4 ||

text: Smoltz

text: (2-1) ||

text: Williams

text: (0-3) ||

text: Wickman

text: (4) || 17,791 || 4-10|- style="background-color:#bbffbb"| 15 || April 18 ||

text: Phillies

text: || 5 – 4 (13) ||

text: Speigner

text: (1-0) ||

text: Rosario

text: (0-1) || || 18,584 || 5-10|- style="background-color:#ffbbbb"| 16 || April 19 ||

text: Phillies

text: || 4 – 2 ||

text: Moyer

text: (2-1) ||

text: Patterson

text: (0-3) ||

text: Gordon

text: (3) || 18,671 || 5-11|- style="background-color:#bbffbb"| 17 || April 20 || @

text: Marlins

text: || 6 – 5 (14) ||

text: Colomé

text: (2-0) ||

text: Gardner

text: (0-1) ||

text: Rivera

text: (1) || 16,469 || 6-11|- style="background-color:#ffbbbb"| 18 || April 21 || @

text: Marlins

text: || 9 – 3 ||

text: Sánchez

text: (2-0) ||

text: Chico

text: (1-2) || || 24,107 || 6-12|- style=""|- style="background-color:#ffbbbb"| 19 || April 22 || @

text: Marlins

text: || 12 – 6 ||

text: Obermueller

text: (1-0)  ||

text: Williams

text: (0-4) ||

text: Gregg

text: (1) || 18,443 || 6-13|- style="background-color:#ffbbbb"| 20 || April 24 || @

text: Phillies

text: || 6 – 3 ||

text: Alfonseca

text: (1-0) ||

text: Bowie

text: (0-1) ||

text: Gordon

text: (4) || 24,745 || 6-14|- style="background-color:#ffbbbb"| 21 || April 25 || @

text: Phillies

text: || 9 – 3 ||

text: Lieber

text: (1-0) ||

text: Patterson

text: (0-4) || || 23,526 || 6-15|- style="background-color:#bbffbb"| 22 || April 26 || @

text: Phillies

text: || 4 – 2 ||

text: Hill

text: (2-2) ||

text: Hamels

text: (2-1) ||

text: Cordero

text: (2) || 26,572 || 7-15|- style="background-color:#bbffbb"| 23 || April 27 ||

text: Mets

text: || 4 – 3 ||

text: Chico

text: (2-2) ||

text: Pérez

text: (2-2) ||

text: Cordero

text: (3) || 21,662 || 8-15|- style="background-color:#ffbbbb"| 24 || April 28 ||

text: Mets

text: || 6 – 2 (12) ||

text: Sele

text: (1-0) ||

text: Rivera

text: (0-1) || || 29,292 || 8-16|- style="background-color:#ffbbbb"| 25 || April 29 ||

text: Mets

text: || 1 – 0 ||

text: Maine

text: (4-0) ||

text: Bergmann

text: (0-2) ||

text: B. Wagner

text: (4) || 27,361 || 8-17|- style="background-color:#bbffbb"| 26 || April 30 || @

text: Padres

text: || 3 – 2 ||

text: Patterson

text: (1-4) ||

text: Peavy

text: (3-1) ||

text: Cordero

text: (4) || 19,769 || 9-17|- style="background-color:#ffbbbb"| 27 || May 1 || @

text: Padres

text: || 3 – 0 ||

text: Young

text: (3-2) ||

text: Hill

text: (2-3) ||

text: Hoffman

text: (6) || 19,438 || 9-18|- style="background-color:#ffbbbb"| 28 || May 2 || @

text: Padres

text: || 7 – 3 ||

text: Brocail

text: (2-0) ||

text: Chico

text: (2-3) || || 22,153 || 9-19|- style="background-color:#ffbbbb"| 29 || May 4 || @

text: Cubs

text: || 6 – 4 ||

text: Zambrano

text: (3-2) ||

text: Bergmann

text: (0-3) ||

text: Dempster

text: (6) ||  39,444 || 9-20|- style="background-color:#ffbbbb"| 30 || May 5 || @

text: Cubs

text: || 5 – 3 ||

text: R. Hill

text: (4-1) ||

text: Patterson

text: (1-5) ||

text: Dempster

text: (7) || 40,267 || 9-21|- style="background-color:#ffbbbb"| 31 || May 6 || @

text: Cubs

text: || 4 – 3 (10) ||

text: Dempster

text: (1-1) ||

text: Wagner

text: (0-2) || || 40,481 || 9-22|- style="background-color:#ffbbbb"| 32 || May 7 || @

text: Brewers

text: || 3 – 0 ||

text: Capuano

text: (5-0) ||

text: Chico

text: (2-4) ||

text: F. Cordero

text: (13) || 17,751 || 9-23|- style="background-color:#ffbbbb"| 33 || May 8 || @

text: Brewers

text: || 6 – 4 ||

text: Bush

text: (3-3) ||

text: Simontacchi

text: (0-1) ||

text: F. Cordero

text: (14) || 19,398 || 9-24|- style="background-color:#ffbbbb"| 34 || May 9 || @

text: Brewers

text: || 3 – 1 ||

text: Turnbow

text: (1-0) ||

text: Bowie

text: (0-2) ||

text: F. Cordero

text: (15) || 24,658 || 9-25|- style="background-color:#bbffbb"| 35 || May 11 ||

text: Marlins

text: || 6 – 0 ||

text: Hill

text: (3-3) ||

text: Olsen

text: (3-3) || || 23,006 || 10-25|- style="background-color:#bbffbb"| 36 || May 12 ||

text: Marlins

text: || 7 – 3 ||

text: Rauch

text: (2-0) ||

text: Tankersley

text: (2-1) || || 19,278 || 11-25|- style="background-color:#bbffbb"| 37 || May 13 ||

text: Marlins

text: || 6 – 4 ||

text: Simontacchi

text: (1-1) ||

text: Obermueller

text: (1-2) ||

text: Rauch

text: (1) || 20,486 || 12-25|- style="background-color:#bbffbb"| 38 || May 14 ||

text: Braves

text: || 2 – 1 ||

text: Bergmann

text: (1-3) ||

text: Smoltz

text: (5-2) ||

text: Colomé

text: (1) || 18,829 || 13-25|- style="background-color:#ffbbbb"| 39 || May 15 ||

text: Braves

text: || 6 – 2 ||

text: Hudson

text: (5-1) ||

text: Williams

text: (0-5) || || 21,258 || 13-26|- style="background-color:#bbffbb"| 40 || May 16 ||

text: Braves

text: || 6 – 4 ||

text: Traber

text: (1-0) ||

text: Davies

text: (1-2) ||

text: Rauch

text: (2) || 20,329 || 14-26|- style="background-color:#bbffbb"| 41 || May 17 ||

text: Braves

text: || 4 – 3 ||

text: Chico

text: (3-4) ||

text: Paronto

text: (2-1) ||

text: Rauch

text: (3) || 24,631 || 15-26|- style="background-color:#ffbbbb"| 42 || May 18 ||

text: Orioles

text: || 5 – 4 ||

text: Trachsel

text: (2-3) ||

text: Simontacchi

text: (1-2) ||

text: Ray

text: (9) || 22,375 || 15-27|- style="background-color:#ffbbbb"| 43 || May 19 ||

text: Orioles

text: || 3 – 2 (11) ||

text: Parrish

text: (2-0) ||

text: Abreu

text: (0-1) ||

text: Ray

text: (10) || 30,661 || 15-28|- style="background-color:#bbffbb"| 44 || May 20 ||

text: Orioles

text: || 4 – 3 ||

text: Colomé

text: (3-0) ||

text: Báez

text: (0-3) ||

text: Cordero

text: (5) || 29,281 || 16-28|- style="background-color:#ffbbbb"| 45 || May 21 || @

text: Reds

text: || 8 – 7 ||

text: Coutlangus

text: (2-0) ||

text: Rauch

text: (2-1) ||

text: Weathers

text: (9) || 15,271 || 16-29|- style="background-color:#bbffbb"| 46 || May 22 || @

text: Reds

text: || 8 – 4 ||

text: Colomé

text: (4-0) ||

text: Coutlangus

text: (2-1) || || 16,732 || 17-29|- style="background-color:#bbffbb"| 47 || May 23 || @

text: Reds

text: || 12 – 7 ||

text: Simontacchi

text: (2-2)  ||

text: Lohse

text: (1-6) || || 31,971 || 18-29|- style="background-color:#bbffbb"| 48 || May 24 || @

text: Reds

text: || 4 – 3 ||

text: Bacsik

text: (1-0) ||

text: Belisle

text: (4-4) ||

text: Cordero

text: (6) || 19,541 || 19-29|- style="background-color:#bbffbb"| 49 || May 25 || @

text: Cardinals

text: || 5 – 4 ||

text: Bowie

text: (1-2) ||

text: Reyes

text: (0-8) ||

text: Cordero

text: (7) || 43,618 || 20-29|- style="background-color:#ffbbbb"| 50 || May 26 || @

text: Cardinals

text: || 8 – 6 ||

text: Thompson

text: (3-1) ||

text: Speigner

text: (1-1) ||

text: Isringhausen

text: (13) || 44,270 || 20-30|- style="background-color:#bbffbb"| 51 || May 27 || @

text: Cardinals

text: || 7 – 2 ||

text: Rivera

text: (1-1) ||

text: Wainwright

text: (4-4) || || 44,578 || 21-30|- style="background-color:#ffbbbb"| 52 || May 29 ||

text: Dodgers

text: || 10 – 0 ||

text: Penny

text: (7-1) ||

text: Simontacchi

text: (2-3) || || 18,483 || 21-31|- style="background-color:#ffbbbb"| 53 || May 30 ||

text: Dodgers

text: || 5 – 0 ||

text: Lowe

text: (5-5) ||

text: Bacsik

text: (1-1) || || 22,360 || 21-32|- style="background-color:#bbffbb"| 54 || May 31 ||

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text: Giants

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text: D-backs

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text: D-backs

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text: D-backs

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text: Astros

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text: Astros

text: || 11 – 6 ||

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text: Astros

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text: Astros

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text: Rockies

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text: Rockies

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text: U. Jiménez

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text: Rockies

text: || 10 – 5 ||

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text: Hanrahan

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text: Dodgers

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text: Dodgers

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text: Dodgers

text: || 10 – 9 (12) ||

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text: Giants

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text: Giants

text: || 2 – 1 ||

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text: Wilson

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text: Marlins

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text: Marlins

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text: Marlins

text: || 6 – 4 ||

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text: Braves

text: || 7 – 1 ||

text: Smoltz

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text: Hanrahan

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text: Braves

text: || 9 – 2 ||

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text: Chico

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text: Braves

text: || 7 – 4 ||

text: Bergmann

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text: Marlins

text: || 5 – 4 ||

text: Hill

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text: Olsen

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text: Cordero

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text: Marlins

text: || 13 – 8 ||

text: Lindstrom

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text: Schroder

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text: Marlins

text: || 5 – 4 (12) ||

text: Barone

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text: Rivera

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text: Braves

text: || 8 – 5 (13) ||

text: Ascanio

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text: Colomé

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text: Braves

text: || 7 – 4 ||

text: Bergmann

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text: Cormier

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text: Cordero

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text: Braves

text: || 3 – 0 ||

text: Hudson

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text: Hill

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text: Mets

text: || 12 – 4 ||

text: Albaladejo

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text: Sele

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text: Mets

text: || 9 – 8 ||

text: Colomé

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text: Maine

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text: Cordero

text: (35) || 19,966 || 68-83|- style="background-color:#ffbbbb"| 152 || September 19 ||

text: Mets

text: || 8 – 4 ||

text: Pelfrey

text: (3-7) ||

text: Chico

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text: Phillies

text: || 7 – 6 ||

text: Romero

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text: Albaladejo

text: (1-1) ||

text: Myers

text: (18) || 19,966 || 68-85|- style="background-color:#ffbbbb"| 154 || September 21 ||

text: Phillies

text: || 6 – 3 ||

text: Eaton

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text: Hill

text: (4-5) ||

text: Myers

text: (19) || 26,949 || 68-86|- style="background-color:#ffbbbb"| 155 || September 22 ||

text: Phillies

text: || 4 – 1 (10) ||

text: Myers

text: (5-7) ||

text: Schroder

text: (2-3) ||

text: Condrey

text: (2) || 26,412 || 68-87|- style="background-color:#bbffbb"| 156 || September 23 ||

text: Phillies

text: || 5 – 3 ||

text: Ayala

text: (2-2) ||

text: Alfonseca

text: (5-2) ||

text: Cordero

text: (36) || 40,519 || 69-87|- style="background-color:#bbffbb"| 157 || September 24 || @

text: Mets

text: || 13 – 4 ||

text: Chico

text: (6-9) ||

text: Pelfrey

text: (3-8) || || 49,164 || 70-87|- style="background-color:#bbffbb"| 158 || September 25 || @

text: Mets

text: || 10 – 9 ||

text: Bergmann

text: (6-5) ||

text: Glavine

text: (13-7) ||

text: Rauch

text: (4) || 49,244 || 71-87|- style="background-color:#bbffbb"| 159 || September 26 || @

text: Mets

text: || 9 – 6 ||

text: Hanrahan

text: (5-3) ||

text: Smith

text: (3-2) ||

text: Ayala

text: (1) || 51,940 || 72-87|- style="background-color:#ffbbbb"| 160 || September 28 || @

text: Phillies

text: || 6 – 0 ||

text: Hamels

text: (15-5) ||

text: Redding

text: (3-6) || || 45,084 || 72-88|- style="background-color:#bbffbb"| 161 || September 29 || @

text: Phillies

text: || 4 – 2 ||

text: Chico

text: (7-9) ||

text: Eaton

text: (10-10) ||

text: Cordero

text: (37) || 44,532 || 73-88|- style="background-color:#ffbbbb"| 162 || September 30 || @

text: Phillies

text: || 6 – 1 ||

text: Moyer

text: (14-12) ||

text: Bergmann

text: (6-6) || || 44,865 || 73-89

text: |- style="background-color:#bbffbb"| 1 || April 3 || @ Royals || 3–1 || Rogers (1–0) || Elarton (0–1) || Rodney (1) || 41,054 || 1–0|- style="background-color:#bbffbb"| 2 || April 5 || @ Royals || 14–3 || Bonderman (1–0) || Mays (0–1) || || 11,265 || 2–0|- style="background-color:#bbffbb"| 3 || April 6 || at Texas || 10–6 || Robertson (1–0) || Dickey (0–1) || || 21,713 || 3–0|- style="background-color:#bbffbb"| 4 || April 7 || at Texas || 5–2 || Maroth (1–0) || Koronka (0–1) || Rodney (2) || 21,155 || 4–0|- style="background-color:#bbffbb"| 5 || April 8 || at Texas || 7–0 || Verlander (1–0) || Millwood (0–2) || || 35,066 || 5–0|- style="background-color:#ffbbbb"| 6 || Sun. 9 || at Texas || 5–3 || Padilla (2–0) || Rogers (1–1) || Cordero (1) || 31,032 || 5–1|- style="background-color:#ffbbbb"| 7 || Mon. 10 || Chicago Sox || 5–3 || Garcia (1–1) || Bonderman (1–1) || Jenks (2) || 44,179 || 5–2|- style="background-color:#ffbbbb"| 8 || Wed. 12 || Chicago Sox || 4–3 || Contreras (1–0) || Robertson (1–1) || Jenks (3) || 12,601 || 5–3|- style="background-color:#ffbbbb"| 9 || Thu. 13 || Chicago Sox || 13–9 || Garland (1–1) || Verlander (1–1) || || 14,027 || 5–4|- style="background-color:#bbffbb"| 10 || Fri. 14 || Cleveland || 5–1 || Rogers (2–1) || Westbrook (2–1) || || 27,358 || 6–4|- style="background-color:#ffbbbb"| 11 || Sat. 15 || Cleveland || 7–2 || Carmona (1–0) || Bonderman (1–2) || || 30,107 || 6–5|- style="background-color:#bbffbb"| 12 || Sun. 16 || Cleveland || 1–0 || Maroth (2–0) || Lee (1–1) || Rodney (3) || 14,303 || 7–5|- style="background-color:#ffbbbb"| 13 || Mon. 17 || Cleveland || 10–2 || Byrd (2–1) || Robertson (1–2) || || 19,126 || 7–6|- style="background-color:#ffbbbb"| 14 || Tue. 18 || at Oakland || 4–3 || Duchscherer (1–0) || Verlander (1–2) || Street (4) || 16,857 || 7–7|- style="background-color:#bbffbb"| 15 || Wed. 19 || at Oakland || 11–4 || Rogers (3–1) || Blanton (1–2) || || 18,309 || 8–7|- style="background-color:#bbffbb"| 16 || Thu. 20 || at Oakland || 4–3 || Rodney (1–0) || Duchscherer (1–1) || || 15,489 || 9–7|- style="background-color:#bbffbb"| 17 || Fri. 21 || at Seattle || 2–1 || Maroth (3–0) || Washburn (1–3) || Jones (1) || 35,237 || 10–7|- style="background-color:#bbffbb"| 18 || Sat. 22 || at Seattle || 2–0 || Robertson (2–2) || Meche (1–1) || Rodney (4) || 27,893 || 11–7|- style="background-color:#bbffbb"| 19 || Sun. 23 || at Seattle || 6–4 || Verlander (2–2) || Hernandez (0–3) || Jones (2) || 28,659 || 12–7|- style="background-color:#ffbbbb"| 20 || Mon. 24 || at LA Angels || 3–0 || Santana (2–0) || Rogers (3–2) || Rodriguez (8) || 39,776 || 12–8|- style="background-color:#bbffbb"| 21 || Tue. 25 || at LA Angels || 5–2 || Bonderman (2–2) || Carrasco (0–1) || Jones (3) || 40,007 || 13–8|- style="background-color:#ffbbbb"| 22 || Wed. 26 || at LA Angels || 4–0 || Lackey (3–1) || Maroth (3–1) || || 37,532 || 13–9|- style="background-color:#bbffbb"| 23 || Fri. 28 || Minnesota || 9–0 || Robertson (3–2) || Radke (2–3) || || 23,263 || 14–9|- style="background-color:#bbffbb"| 24 || Sat. 29 || Minnesota || 18–1 || Verlander (3–2) || Silva (1–4) || || 24,258 || 15–9|- style="background-color:#bbffbb"| 25 || Sun. 30 || Minnesota || 6–0 || Rogers (4–2) || Lohse (1–2) || || 24,323 || 16–9|- style="background-color:#bbffbb"| 26 || Mon. 1 || Kansas City || 3–2 || Bonderman (3–2) || Hernandez (1–1) || Jones (4) || 9,597 || 17–9|- style="background-color:#bbffbb"| 27 || Tue. 2 || Kansas City || 4–1 || Maroth (4–1) || Redman (0–2) || Jones (5) || 12,415 || 18–9|- style="background-color:#bbffbb"| 28 || Wed. 3 || LA Angels || 2–1 || Zumaya (1–0) || Weaver (1–4) || Rodney (5) || 17,171 || 19–9|- style="background-color:#ffbbbb"| 29 || Thu. 4 || LA Angels || 7–2 || Gregg (2–0) || Verlander (3–3) || || 24,879 || 19–10|- style="background-color:#bbffbb"| 30 || Fri. 5 || at Minnesota || 9–6 || Rogers (5–2) || Lohse (1–3) || Jones (6) || 23,892 || 20–10|- style="background-color:#ffbbbb"| 31 || Sat. 6 || at Minnesota || 7–6 || Rincon (2–0) || Jones (0–1) || || 20,907 || 20–11|- style="background-color:#ffbbbb"| 32 || Sun. 7 || at Minnesota || 4–2 || Santana (3–3) || Maroth (4–2) || Nathan (4) || 20,548 || 20–12|- style="background-color:#ffbbbb"| 33 || Tue. 9 || at Baltimore || 7–6 || Hawkins (1–1) || Rodney (1–1) || Ray (8) || 16,566 || 20–13|- style="background-color:#bbffbb"| 34 || Wed. 10 || at Baltimore || 6–3 || Verlander (4–3) || Lopez (1–5) || Jones (7) || 15,548 || 21–13|- style="background-color:#bbffbb"| 35 || Fri. 12 || at Cleveland || 5–4 || Rogers (6–2) || Lee (2–4) || Jones  (8) || 23,588 || 22–13|- style="background-color:#bbffbb"| 36 || Sat. 13 || at Cleveland || 3–0 || Bonderman (4–2) || Sabathia (2–1) || Jones (9) || 24,051 || 23–13|- style="background-color:#bbffbb"| 37 || Sun. 14 || at Cleveland || 3–2 || Maroth (5–2) || Johnson (2–3) || Rodney (6) || 21,875 || 24–13|- style="background-color:#bbffbb"| 38 || Tue. 16 || Minnesota || 7–4 || Robertson (4–2) || Lohse (2–4) || Jones (10) || 18,115 || 25–13|- style="background-color:#bbffbb"| 39 || Wed. 17 || Minnesota || 2–0 || Verlander (5–3) || Santana (4–4) || Jones (11) || 16,669 || 26–13|- style="background-color:#bbffbb"| 40 || Thu. 18 || Minnesota || 5–3 || Rogers (7–2) || Radke (4–5) || Jones (12) || 26,732 || 27–13|- style="background-color:#ffbbbb"| 41 || Fri. 19 || Cincinnati || 9–4 || Claussen (3–4) || Bonderman (4–3) || || 26,933 || 27–14|- style="background-color:#bbffbb"| 42 || Sat. 20 || Cincinnati || 7–6 || Rodney (2–1) || Weathers (1–2) || || 43,128 || 28–14|- style="background-color:#bbffbb"| 43 || Sun. 21 || Cincinnati || 1–0 || Rodney (3–1) || Harang (5–3) || Jones (13) || 31,515 || 29–14|- style="background-color:#bbffbb"| 44 || Mon. 22 || at Kansas City || 8–0 || Verlander (6–3) || Affeldt (2–4) || || 9,746 || 30–14|- style="background-color:#bbffbb"| 45 || Tue. 23 || at Kansas City || 8–5 || Zumaya (2–0) || Dessens (2–4) || Jones (14) || 15,556 || 31–14|- style="background-color:#bbffbb"| 46 || Wed. 24 || at Kansas City || 6–3 || Bonderman (5–3) || Gobble (0–1) || Jones (15) || 10,745 || 32–14|- style="background-color:#bbffbb"| 47 || Thu. 25 || at Kansas City || 13–8 || Zumaya (3–0) || Dessens (2–5) || || 11,488 || 33–14|- style="background-color:#bbffbb"| 48 || Fri. 26 || Cleveland || 8–3 || Robertson (5–2) || Westbrook (4–3) || || 31,241 || 34–14|- style="background-color:#bbffbb"| 49 || Sat. 27 || Cleveland || 3–1 || Verlander (7–3) || Byrd (4–4) || Jones (16) || 37,102 || 35–14|- style="background-color:#ffbbbb"| 50 || Sun. 28 || Cleveland || 9–0 || Johnson (3–4) || Rogers (7–3) || || 37,908 || 35–15|- style="background-color:#ffbbbb"| 51 || Mon. 29 || NY Yankees || 4–0 || Johnson (7–4) || Bonderman (5–4) || || 39,759 || 35–16|- style="background-color:#ffbbbb"| 52 || Tue. 30 || NY Yankees || 11–6 || Rivera (3–3) || Jones (0–2) || || 24,765 || 35–17|- style="background-color:#ffbbbb"| 53 || Wed. 31 || NY Yankees || 6–1 || Mussina (7–1) || Robertson (5–3) || || 23,757 || 35–18|- style="background-color:#bbffbb"| 54 || Thu. 1 || NY Yankees || 7–6 || Rodney (4–1) || Farnsworth (1–3) || || 27,231 || 36–18|- style="background-color:#ffbbbb"| 55 || Fri. 2 || Boston || 3–2 || Seanez (1–0) || Jones (0–3) || Papelbon (20) || 35,531 || 36–19|- style="background-color:#bbffbb"| 56 || Sat. 3 || Boston || 6–2 || Bonderman (6–4) || Wakefield (4–7) || Rodney (7) || 40,872 || 37–19|- style="background-color:#ffbbbb"| 57 || Sun. 4 || Boston || 8–3 || Clement (5–4) || Miner (0–1) || || 35,764 || 37–20|- style="background-color:#ffbbbb"| 58 || Tue. 6 || at Chicago Sox || 4–3 || McCarthy (3–3) || Rodney (4–2) || Jenks (16) || 37,192 || 37–21|- style="background-color:#ffbbbb"| 59 || Wed. 7 || at Chicago Sox || 4–3 || Contreras (6–0) || Verlander (7–4) || Jenks (17) || 37,612 || 37–22|- style="background-color:#bbffbb"| 60 || Thu. 8 || at Chicago Sox || 6–2 || Rogers (8–3) || Garland (4–3) || || 37,354 || 38–22|- style="background-color:#ffbbbb"| 61 || Fri. 9 || at Toronto || 10–5 || Frasor (2–1) || Jones (0–4) || || 21,425 || 38–23|- style="background-color:#bbffbb"| 62 || Sat. 10 || at Toronto || 5–3 || Miner (1–1) || Lilly (5–7) || Jones (17) || 27,021 || 39–23|- style="background-color:#bbffbb"| 63 || Sun. 11 || at Toronto || 10–5 || Robertson (6–3) || Taubenheim (0–3) || Zumaya (1) || 30,404 || 40–23|- style="background-color:#bbffbb"| 64 || Mon. 12 || Tampa Bay || 4–3 || Jones (1–4) || Meadows (1–1) || || 16,302 || 41–23|- style="background-color:#bbffbb"| 65 || Tue. 13 || Tampa Bay || 7–1 || Rogers (9–3) || McClung (2–9) || || 20,935 || 42–23|- style="background-color:#ffbbbb"| 66 || Wed. 14 || Tampa Bay || 5–1 || Meadows (2–1) || Jones (1–5) || || 25,265 || 42–24|- style="background-color:#bbffbb"| 67 || Thu. 15 || Tampa Bay || 6–2 || Miner (2–1) || Fossum (2–3) || || 28,269 || 43–24|- style="background-color:#bbffbb"| 68 || Fri. 16 || at Chicago Cubs || 5–3 || Robertson (7–3) || Rusch (2–7) || Jones (18) || 40,683 || 44–24|- style="background-color:#bbffbb"| 69 || Sat. 17 || at Chicago Cubs || 9–3 || Verlander (8–4) || Marmol (1–1) || || 41,459 || 45–24|- style="background-color:#bbffbb"| 70 || Sun. 18 || at Chicago Cubs || 12–3 || Rogers (10–3) || Prior (0–1) || || 39,938 || 46–24|- style="background-color:#bbffbb"| 71 || Mon. 19 || at Milwaukee || 3–1 || Bonderman (7–4) || Wise (4–4) || Jones (19) || 29,623 || 47–24|- style="background-color:#bbffbb"| 72 || Tue. 20 || at Milwaukee || 10–1 || Miner (3–1) || Helling (0–1) || || 33,119 || 48–24|- style="background-color:#ffbbbb"| 73 || Wed. 21 || at Milwaukee || 4–3 || Capuano (8–4) || Zumaya (3–1) || Turnbow (21) || 31,222 || 48–25|- style="background-color:#bbffbb"| 74 || Fri. 23 || St. Louis || 10–6 || Verlander (9–4) || Carpenter (6–4) || || 42,238 || 49–25|- style="background-color:#bbffbb"| 75 || Sat. 24 || St. Louis || 7–6 || Zumaya (4–1) || Johnson (0–1) || || 42,535 || 50–25|- style="background-color:#bbffbb"| 76 || Sun. 25 || St. Louis || 4–1 || Ledezma (1–0) || Ponson (4–3) || Jones (20) || 40,644 || 51–25|- style="background-color:#bbffbb"| 77 || Mon. 26 || Houston || 10–4 || Miner (4–1) || Rodriguez (8–5) || || 24,285 || 52–25|- style="background-color:#bbffbb"| 78 || Tue. 27 || Houston || 4–0 || Robertson (8–3) || Clemens (0–2) || || 39,852 || 53–25|- style="background-color:#bbffbb"| 79 || Wed. 28 || Houston || 5–0 || Verlander (10–4) || Pettitte (6–9) || || 29,249 || 54–25|- style="background-color:#bbffbb"| 80 || Fri. 30 || at Pittsburgh || 7–6 || Colon (1–0) || Wells (0–3) || Jones (21) || 27,318 || 55–25|- style="background-color:#ffbbbb"| 81 || Sat. 1 || at Pittsburgh || 9–2 || Capps (3–1) || Grilli (0–1) || || 37,111 || 55–26|- style="background-color:#bbffbb"| 82 || Sun. 2 || at Pittsburgh || 9–8 || Miner (5–1) || Snell (7–6) || Jones (22) || 28,136 || 56–26|- style="background-color:#ffbbbb"| 83 || Mon. 3 || at Oakland || 5–3 || Blanton (8–7) || Robertson (8–4) || Street (19) || 35,077 || 56–27|- style="background-color:#ffbbbb"| 84 || Tue. 4 || at Oakland || 2–1 || Gaudin (1–2) || Rodney (4–3) || || 21,096 || 56–28|- style="background-color:#bbffbb"| 85 || Wed. 5 || at Oakland || 10–4 || Rogers (11–3) || Saarloos (3–5) || Colon (1) || 22,210 || 57–28|- style="background-color:#bbffbb"| 86 || Fri. 7 || at Seattle || 6–1 || Bonderman (8–4) || Pineiro (6–8) || || 31,727 || 58–28|- style="background-color:#bbffbb"| 87 || Sat. 8 || at Seattle || 2–1 || Miner (6–1) || Washburn (4–9) || Jones (23) || 32,404 || 59–28|- style="background-color:#ffbbbb"| 88 || Sun. 9 || at Seattle || 3–2 || Meche (8–4) || Robertson (8–5) || Putz (16) || 37,364 || 59–29|- style="background-color:#bbffbb"| 89 || Thu. 13 || Kansas City || 6–4 || Bonderman (9–4) || Duckworth (1–2) || Jones (24) || 31,967 || 60–29|- style="background-color:#bbffbb"| 90 || Fri. 14 || Kansas City || 10–9 || Jones (2–5) || Affeldt (4–6) || || 38,442 || 61–29|- style="background-color:#bbffbb"| 91 || Sat. 15 || Kansas City || 6–0 || Verlander (11–4) || Gobble (3–3) || || 40,210 || 62–29|- style="background-color:#ffbbbb"| 92 || Sun. 16 || Kansas City || 9–6 || Elarton (4–9) || Miner (6–2) || MacDougal (1) || 37,893 || 62–30|- style="background-color:#ffbbbb"| 93 || Tue. 18 || Chicago Sox || 7–1 || Garland (9–3) || Robertson (8–6) || || 39,153 || 62–31|- style="background-color:#bbffbb"| 94 || Wed. 19 || Chicago Sox || 5–2 || Bonderman (10–4) || Vazquez (9–5) || || 39,593 || 63–31|- style="background-color:#bbffbb"| 95 || Thu. 20 || Chicago Sox || 2–1 || Zumaya (5–1) || Contreras (9–2) || Jones (25) || 41,075 || 64–31|- style="background-color:#bbffbb"| 96 || Fri. 21 || Oakland || 7–4 || Verlander (12–4) || Haren (6–9) || || 40,687 || 65–31|- style="background-color:#ffbbbb"| 97 || Sat. 22 || Oakland || 9–5 || Blanton (10–8) || Ledezma (1–1) || || 38,923 || 65–32|- style="background-color:#bbffbb"| 98 || Sun. 23 || Oakland || 8–4 || Robertson (9–6) || Loaiza (4–6) || || 40,355 || 66–32|- style="background-color:#bbffbb"| 99 || Mon. 24 || at Cleveland || 9–7 || Bonderman (11–4) || Lee (9–8) || Jones (26) || 19,045 || 67–32|- style="background-color:#ffbbbb"| 100 || Tue. 25 || at Cleveland || 12–7 || Davis (3–1) || Rogers (11–4) || || 28,085 || 67–33|- style="background-color:#bbffbb"| 101 || Wed. 26 || at Cleveland || 4–1 || Verlander (13–4) || Sabathia (7–7) || Jones (27) || 31,220 || 68–33|- style="background-color:#bbffbb"| 102 || Fri. 28 || at Minnesota || 3–2 || Rodney (5–3) || Rincon (3–1) || Jones (28) || 45,478 || 69–33|- style="background-color:#bbffbb"| 103 || Sat. 29 || at Minnesota || 8–6 || Robertson (10–6) || Radke (9–8) || Jones (29) || 45,496 || 70–33|- style="background-color:#ffbbbb"| 104 || Sun. 30 || at Minnesota || 6–4 || Neshek (1–0) || Bonderman (11–5) || Nathan (22) || 43,204 || 70–34|- style="background-color:#ffbbbb"| 105 || Mon. 31 || at Tampa Bay || 7–3 || Fossum (5–4) || Rogers (11–5) || || 15,065 || 70–35|- style="background-color:#bbffbb"| 106 || Tue. 1 || at Tampa Bay || 10–4 || Verlander (14–4) || Howell (0–1) || || 13,808 || 71–35|- style="background-color:#bbffbb"| 107 || Wed. 2 || at Tampa Bay || 8–3 || Grilli (1–1) || Switzer (2–2) || || 13,126 || 72–35|- style="background-color:#ffbbbb"| 108 || Thu. 3 || at Tampa Bay || 2–1 || McClung (3–10) || Robertson (10–7) || Meadows (7) || 12,665 || 72–36|- style="background-color:#bbffbb"| 109 || Fri. 4 || Cleveland || 7–6 || Colon (2–0) || Cabrera (1–2) || Jones (30) || 41,502 || 73–36|- style="background-color:#bbffbb"| 110 || Sat. 5 || Cleveland || 4–3 || Zumaya (6–1) || Carmona (1–7) || || 43,015 || 74–36|- style="background-color:#bbffbb"| 111 || Sun. 6 || Cleveland || 1–0 || Ledezma (2–1) || Sabathia (8–8) || Jones (31) || 39,178 || 75–36|- style="background-color:#bbffbb"| 112 || Mon. 7 || Minnesota || 9–3 || Miner (7–2) || Liriano (12–3) || || 34,870 || 76–36|- style="background-color:#ffbbbb"| 113 || Tue. 8 || Minnesota || 4–2 || Radke (11–8) || Robertson (10–8) || Nathan (24) || 35,624 || 76–37|- style="background-color:#ffbbbb"| 114 || Wed. 9 || Minnesota || 4–3 || Santana (13–5) || Zumaya (6–2) || Nathan (25) || 36,339 || 76–38|- style="background-color:#ffbbbb"| 115 || Fri. 11 || at Chicago Sox || 5–0 || Contreras (11–4) || Verlander (14–5) || || 39,378 || 76–39|- style="background-color:#ffbbbb"| 116 || Sat. 12 || at Chicago Sox || 4–3 || MacDougal (1–0) || Rogers (11–6) || Jenks (32) || 38,873 || 76–40|- style="background-color:#ffbbbb"| 117 || Sun. 13 || at Chicago Sox || 7–3 || Garcia (11–7) || Miner (7–3) || Jenks (33) || 38,931 || 76–41|- style="background-color:#bbffbb"| 118 || Mon. 14 || at Boston || 7–4 || Robertson (11–8) || Beckett (13–7) || Jones (32) || 36,392 || 77–41|- style="background-color:#bbffbb"| 119 || Tue. 15 || at Boston || 3–2 || Rodney (6–3) || Timlin (5–2) || Jones (33) || 36,179 || 78–41|- style="background-color:#ffbbbb"| 120 || Wed. 16 || at Boston || 6–4 || Wells (2–2) || Verlander (14–6) || Papelbon (32) || 36,304 || 78–42|- style="background-color:#bbffbb"| 121 || Thu. 17 || Texas || 4–2 || Rogers (12–6) || Volquez (1–2) || Jones (34) || 34,756 || 79–42|- style="background-color:#ffbbbb"| 122 || Fri. 18 || Texas || 2–1 || Millwood (12–8) || Miner (7–4) || Otsuka (24) || 39,327 || 79–43|- style="background-color:#ffbbbb"| 123 || Sat. 19 || Texas || 3–1 || Tejeda (2–3) || Robertson (11–9) || Otsuka (25) || 41,643 || 79–44|- style="background-color:#ffbbbb"| 124 || Sun. 20 || Texas || 7–6 || Benoit (1–1) || Grilli (1–2) || Otsuka (26) || 39,071 || 79–45|- style="background-color:#bbffbb"| 125 || Mon. 21 || Chicago Sox || 7–1 || Verlander (15–6) || Contreras (11–6) || || 39,278 || 80–45|- style="background-color:#bbffbb"| 126 || Tue. 22 || Chicago Sox || 4–0 || Rogers (13–6) || Buehrle (10–11) || || 39,361 || 81–45|- style="background-color:#ffbbbb"| 127 || Wed. 23 || Chicago Sox || 7–5 || Garcia (12–8) || Miner (7–5) || Jenks (36) || 40,187 || 81–46|- style="background-color:#ffbbbb"| 128 || Thu. 24 || Chicago Sox || 10–0 || Garland (15–4) || Robertson (11–10) || || 41,565 || 81–47|- style="background-color:#ffbbbb"| 129 || Fri. 25 || at Cleveland || 4–2 || Sowers (6–3) || Bonderman (11–6) || Betancourt (1) || 33,416 || 81–48|- style="background-color:#ffbbbb"| 130 || Sat. 26 || at Cleveland || 8–5 || Westbrook (11–8) || Verlander (15–7) || Mastny (3) || 29,138 || 81–49|- style="background-color:#bbffbb"| 131 || Sun. 27 || at Cleveland || 7–1 || Rogers (14–6) || Lee (10–10) || || 28,342 || 82–49|- style="background-color:#ffbbbb"| 132 || Wed. 30 || at NY Yankees || 2–0 || Wang (16–5) || Robertson (11–11) || Rivera (32) || 52,585 || 82–50|- style="background-color:#bbffbb"| 133 || Wed. 30 || at NY Yankees || 5–3 || Grilli (2–2) || Proctor (5–4) || Jones (35) || 54,509 || 83–50|- style="background-color:#ffbbbb"| 134 || Thu. 31 || at NY Yankees || 6–4 || Johnson (15–10) || Bonderman (11–7) || Rivera (33) || 54,771 || 83–51|- style="background-color:#bbffbb"| 135 || Fri. 1 || LA Angels || 9–0 || Rogers (15–6) || Santana (13–7) || || 37,509 || 84–51|- style="background-color:#ffbbbb"| 136 || Sat. 2 || LA Angels || 7–2 || Rodriguez (2–2) || Jones (2–6) || || 37,826 || 84–52|- style="background-color:#ffbbbb"| 137 || Sun. 3 || LA Angels || 2–1 || Escobar (10–12) || Ledezma (2–2) || Rodriguez (38) || 38,688 || 84–53|- style="background-color:#bbffbb"| 138 || Mon. 4 || Seattle || 6–2 || Robertson (12–11) || Washburn (8–13) || || 32,948 || 85–53|- style="background-color:#ffbbbb"| 139 || Tue. 5 || Seattle || 4–3 || Pineiro (8–11) || Miller (0–1) || Putz (30) || 23,583 || 85–54|- style="background-color:#ffbbbb"| 140 || Wed. 6 || Seattle || 5–4 || Huber (1–0) || Zumaya (6–3) || Putz (31) || 23,066 || 85–55|- style="background-color:#bbffbb"| 141 || Thu. 7 || at Minnesota || 7–2 || Verlander (16–7) || Baker (4–8) || || 21,229 || 86–55|- style="background-color:#ffbbbb"| 142 || Fri. 8 || at Minnesota || 9–5 || Neshek (4–1) || Ledezma (2–3) || || 29,042 || 86–56|- style="background-color:#ffbbbb"| 143 || Sat. 9 || at Minnesota || 2–1 || Bonser (5–5) || Robertson (12–12) || Nathan (30) || 39,160 || 86–57|- style="background-color:#ffbbbb"| 144 || Sun. 10 || at Minnesota || 12–1 || Santana (18–5) || Bonderman (11–8) || || 40,158 || 86–58|- style="background-color:#bbffbb"| 145 || Tue. 12 || Texas || 3–2 || Rodney (7–3) || Mahay (1–3) || || 24,196 || 87–58|- style="background-color:#ffbbbb"| 146 || Wed. 13 || Texas || 11–3 || Millwood (15–10) || Verlander (16–8) || || 24,672 || 87–59|- style="background-color:#bbffbb"| 147 || Fri. 15 || Baltimore || 17–2 || Bonderman (12–8) || Penn (0–3) || || 38,261 || 88–59|- style="background-color:#bbffbb"| 148 || Sat. 16 || Baltimore || 2–0 || Robertson (13–12) || Benson (10–11) || Jones (36) || 39,030 || 89–59|- style="background-color:#ffbbbb"| 149 || Sun. 17 || Baltimore || 12–8 || Ray (3–4) || Grilli (2–3) || || 37,464 || 89–60|- style="background-color:#bbffbb"| 150 || Mon. 18 || at Chicago Sox || 8–2 || Rogers (16–6) || Buehrle (12–13) || || 39,427 || 90–60|- style="background-color:#ffbbbb"| 151 || Tue. 19 || at Chicago Sox || 7–0 || Garcia (15–9) || Verlander (16–9) || || 38,850 || 90–61|- style="background-color:#bbffbb"| 152 || Wed. 20 || at Chicago Sox || 6–2 || Bonderman (13–8) || Garland (17–6) || || 38,971 || 91–61|- style="background-color:#ffbbbb"| 153 || Thu. 21 || at Baltimore || 4–3 || Benson (11–11) || Rodney (7–4) || Ray (33) || 17,877 || 91–62|- style="background-color:#bbffbb"| 154 || Fri. 22 || at Kansas City || 7–3 || Ledezma (3–3) || Hudson (7–6) || || 13,151 || 92–62|- style="background-color:#bbffbb"| 155 || Sat. 23 || at Kansas City || 15–4 || Rogers (17–6) || Redman (10–10) || || 15,459 || 93–62|- style="background-color:#bbffbb"| 156 || Sun. 24 || at Kansas City || 11–4 || Verlander (17–9) || Hernandez (6–10) || || 10,922 || 94–62|- style="background-color:#bbffbb"| 157 || Tue. 26 || Toronto || 4–3 || Bonderman (14–8) || McGowan (1–2) || Jones (37) || 27,908 || 95–62|- style="background-color:#ffbbbb"| 158 || Wed. 27 || Toronto || 7–4 || Lilly (15–13) || Robertson (13–13) || Ryan (36) || 26,430 || 95–63|- style="background-color:#ffbbbb"| 159 || Thu. 28 || Toronto || 8–6 || Burnett (10–8) || Rogers (17–7) || Ryan (37) || 28,670 || 95–64|- style="background-color:#ffbbbb"| 160 || Fri. 29 || Kansas City || 9–7 || Greinke (1–0) || Walker (0–1) || Peralta (1) || 37,243 || 95–65|- style="background-color:#ffbbbb"| 161 || Sat. 30 || Kansas City || 9–6 || Wellemeyer (1–2) || Miner (7–6) || Gobble (2) || 40,071 || 95–66|- style="background-color:#ffbbbb"| 162 || Sun. 1 || Kansas City || 10–8 || Gobble (4–6) || Rogers (17–8) || || 40,155 || 95–67|-! colspan=9 style="" | American League Division Series|- style="background-color:#ffbbbb"| 1 || Oct. 3 || at New York || 8–4 || Wang (1–0) || Robertson (0–1) || || 56,291 || 0–1|- style="background-color:#bbffbb"| 2 || Oct. 5 || at New York || 4–3 || Walker (1–0) || Mussina (0–1) || Jones (1) || 56,252 || 1–1|- style="background-color:#bbffbb"| 3 || Oct. 6 || New York || 6–0 || Rogers (1–0) || Johnson (0–1) || || 43,440 || 2–1|- style="background-color:#bbffbb"| 4 || Oct. 7 || New York || 8–3 || Bonderman (1–0) || Wright (0–1) || || 43,126 || 3–1|-! colspan=9 style="" | American League Championship Series|- style="background-color:#bbffbb"| 1 || Oct. 10 || at Oakland || 5–1 || Robertson (1–1) || Zito (1–1) || || 35,655 || 1–0|- style="background-color:#bbffbb"| 2 || Oct. 11 || at Oakland || 8–5 || Verlander (1–0) || Loaiza (0–1) || Jones (2) || 36,168 || 2–0|- style="background-color:#bbffbb"| 3 || Oct. 13 || Oakland || 3–0 || Rogers (2–0) || Harden (0–1) || Jones (3) || 41,669 || 3–0|- style="background-color:#bbffbb"| 4 || Oct. 14 || Oakland || 6–3 || Ledezma (1–0) || Street (0–1) || || 42,967 || 4–0|-! colspan=9 style="" | World Series|- style="background-color:#ffbbbb"| 1 || Oct. 21 || St. Louis || 7–2 || Reyes (1–0) || Verlander (1–1) || || 42,479 || 0–1|- style="background-color:#bbffbb"| 2 || Oct. 22 || St. Louis || 3–1 || Rogers (3–0) || Weaver (2–2) || Jones (4) || 42,533 || 1–1|- style="background-color:#ffbbbb"| 3 || Oct. 24 || at St. Louis || 5–0 || Carpenter (3–1) || Robertson (1–2) || || 46,513 || 1–2|- style="background-color:#ffbbbb"| 4 || Oct. 26 || at St. Louis || 5–4 || Wainwright (1–0) || Zumaya (0–1) || || 46,470 || 1–3|- style="background-color:#ffbbbb"| 5 || Oct. 27 || at St. Louis || 4–2 || Weaver (3–2) || Verlander (1–2) || Wainwright (4) || 46,638 || 1–4

text: Royals

text: || 3–1 ||

text: Rogers

text: (1–0) ||

text: Elarton

text: (0–1) ||

text: Rodney

text: (1) || 41,054 || 1–0|- style="background-color:#bbffbb"| 2 || April 5 || @

text: Royals

text: American League Division Series

text: |- style="background-color:#ffbbbb"| 1 || Oct. 3 || at New York || 8–4 || Wang (1–0) || Robertson (0–1) || || 56,291 || 0–1|- style="background-color:#bbffbb"| 2 || Oct. 5 || at New York || 4–3 || Walker (1–0) || Mussina (0–1) || Jones (1) || 56,252 || 1–1|- style="background-color:#bbffbb"| 3 || Oct. 6 || New York || 6–0 || Rogers (1–0) || Johnson (0–1) || || 43,440 || 2–1|- style="background-color:#bbffbb"| 4 || Oct. 7 || New York || 8–3 || Bonderman (1–0) || Wright (0–1) || || 43,126 || 3–1|-! colspan=9 style="" |

entity_name: 2006 American League Championship Series

text: American League Championship Series

text: |- style="background-color:#bbffbb"| 1 || Oct. 10 || at Oakland || 5–1 || Robertson (1–1) || Zito (1–1) || || 35,655 || 1–0|- style="background-color:#bbffbb"| 2 || Oct. 11 || at Oakland || 8–5 || Verlander (1–0) || Loaiza (0–1) || Jones (2) || 36,168 || 2–0|- style="background-color:#bbffbb"| 3 || Oct. 13 || Oakland || 3–0 || Rogers (2–0) || Harden (0–1) || Jones (3) || 41,669 || 3–0|- style="background-color:#bbffbb"| 4 || Oct. 14 || Oakland || 6–3 || Ledezma (1–0) || Street (0–1) || || 42,967 || 4–0|-! colspan=9 style="" |

text: World Series

text: |- style="background-color:#ffbbbb"| 1 || Oct. 21 || St. Louis || 7–2 || Reyes (1–0) || Verlander (1–1) || || 42,479 || 0–1|- style="background-color:#bbffbb"| 2 || Oct. 22 || St. Louis || 3–1 || Rogers (3–0) || Weaver (2–2) || Jones (4) || 42,533 || 1–1|- style="background-color:#ffbbbb"| 3 || Oct. 24 || at St. Louis || 5–0 || Carpenter (3–1) || Robertson (1–2) || || 46,513 || 1–2|- style="background-color:#ffbbbb"| 4 || Oct. 26 || at St. Louis || 5–4 || Wainwright (1–0) || Zumaya (0–1) || || 46,470 || 1–3|- style="background-color:#ffbbbb"| 5 || Oct. 27 || at St. Louis || 4–2 || Weaver (3–2) || Verlander (1–2) || Wainwright (4) || 46,638 || 1–4

text: The supposition that dark skin evolved in the absence of selective pressure was put forward by the probable mutation effect hypothesis. The main factor initiating the development of light skin was seen as a consequence of genetic mutation without an evolutionary selective pressure. The subsequent spread of light skin was thought to be caused by assortive mating and sexual selection contributed to an even lighter pigmentation in females. Doubt has been cast on this hypothesis, as a more random patterns of skin coloration would be expected in contrast to the observed structural light skin pigmentation in areas of low UV radiation. The clinal (gradual) distribution of skin pigmentation observable in the Eastern hemisphere, and to a lesser extent in the Western hemisphere is one of the  most significant characteristic of human skin pigmentation. Increasingly lighter skinned populations are distributed across areas with incrementally lower levels of UV radiation.<ref name=Rele97>{{cite journal|last=Relethford|first=J.H.|title=Hemisphere difference in human skin color|journal=American Journal of Physical Anthropology|year=1997|volume=104|issue=4|pages=449–457|pmid=9453695|doi=10.1002/(SICI)1096-8644(199712)104:4

text: The supposition that dark skin evolved in the absence of selective pressure was put forward by the probable mutation effect hypothesis. The main factor initiating the development of light skin was seen as a consequence of

text: genetic mutation

text: without an evolutionary

text: selective pressure

text: . The subsequent spread of light skin was thought to be caused by

text: assortive mating

text: and sexual selection contributed to an even lighter pigmentation in females. Doubt has been cast on this hypothesis, as a more random patterns of skin coloration would be expected in contrast to the observed structural light skin pigmentation in areas of low UV radiation. The

text: clinal

text: (gradual) distribution of skin pigmentation observable in the Eastern hemisphere, and to a lesser extent in the Western hemisphere is one of the  most significant characteristic of human skin pigmentation. Increasingly lighter skinned populations are distributed across areas with incrementally lower levels of UV radiation.<ref name=Rele97>{{cite journal|last=Relethford|first=J.H.|title=Hemisphere difference in human skin color|journal=American Journal of Physical Anthropology|year=1997|volume=104|issue=4|pages=449–457|pmid=9453695|doi=10.1002/(SICI)1096-8644(199712)104:4

text: The primary colors in an RGB color wheel are red, green, and blue, because these are the three additive colors—the primary colors of light. The secondary colors in an RGB color wheel are cyan, magenta, and yellow because these are the three subtractive colors—the primary colors of pigment.

text: The primary colors in an RGB color wheel are

text: red

text: green

text: , and

text: blue

text: , because these are the three

text: additive color

text: s—the primary colors of light. The secondary colors in an RGB color wheel are

text: cyan

text: magenta

text: , and

text: yellow

text: because these are the three

text: subtractive color

text: s—the primary colors of pigment.

text: Nephelomys species have yellowish- to reddish-brown upperparts, and they are variable in the coloration of the underparts, with some possessing light, nearly white, fur, which is separated from the color of the upperparts by an abrupt change in color, but others having ochraceous coloring which changes more gradually from the coloring on the back. Small patches of pure white fur may also be present on the underparts in some species. The ears are small, but the tail is long, and it is bicolored to a smaller or greater extent, depending on the species.  Several pads are prominently present.

text: Nephelomys species have yellowish- to reddish-brown upperparts, and they are variable in the coloration of the underparts, with some possessing light, nearly white,

text: fur

text: , which is separated from the color of the upperparts by an abrupt change in color, but others having ochraceous coloring which changes more gradually from the coloring on the back. Small patches of pure white fur may also be present on the underparts in some species. The ears are small, but the tail is long, and it is bicolored to a smaller or greater extent, depending on the species.  Several

text: pads

text: are prominently present.

text: Most televisions, computer displays, and projectors produce colors by combining red, green, and blue light in varying intensities—the so-called RGB additive primary colors. The resulting mixtures in RGB color space can reproduce a wide variety of colors (called a gamut); however, the relationship between the constituent amounts of red, green, and blue light and the resulting color is unintuitive, especially for inexperienced users, and for users familiar with subtractive color mixing of paints or traditional artists’ models based on tints and shades (). Furthermore, neither additive nor subtractive color models define color relationships the same way the human eye does.<ref>For instance, a 1982 study by Berk, et al., found that users were better at describing colors in terms of HSL than RGB coordinates, after being taught both systems, but were much better still at describing them in terms of the natural-language CNS model (which uses names such as "very dark grayish yellow-green" or "medium strong bluish purple"). This shouldn’t be taken as gospel however: a 1987 study by Schwarz, et al., found that users could match colors using RGB controls faster than with HSL controls; a 1999 study by Douglas and Kirkpatrick found that the visual feedback in the user interface mattered more than the particular color model in use, for user matching speed.

text: Most televisions, computer displays, and projectors produce colors by combining red, green, and blue light in varying intensities—the so-called

text: RGB

text: additive

text: primary color

text: s. The resulting mixtures in

text: RGB color space

text: can reproduce a wide variety of colors (called a

text: gamut

text: ); however, the relationship between the constituent amounts of red, green, and blue light and the resulting color is unintuitive, especially for inexperienced users, and for users familiar with

text: subtractive color

text: mixing of paints or traditional artists’ models based on tints and shades (). Furthermore, neither additive nor subtractive color models define color relationships the same way the

text: human eye

text: does.<ref>For instance, a 1982 study by Berk, et al., found that users were better at describing colors in terms of HSL than RGB coordinates, after being taught both systems, but were much better still at describing them in terms of the natural-language CNS model (which uses names such as "very dark grayish yellow-green" or "medium strong bluish purple"). This shouldn’t be taken as gospel however: a 1987 study by Schwarz, et al., found that users could match colors using RGB controls faster than with HSL controls; a 1999 study by Douglas and Kirkpatrick found that the visual feedback in the user interface mattered more than the particular color model in use, for user matching speed.

text: |- style="background-color:#ffbbbb"| 1 || April 3 || @ Yankees || 9–2 || Johnson (1–0) || Wells (0–1) || — || 54,818 || 0–1|- style="background-color:#ffbbbb"| 2 || April 5 || @ Yankees || 4–3 || Rivera (1–0) || Foulke (0–1) || — || 54,690 || 0–2|- style="background-color:#bbffbb"| 3 || April 6 || @ Yankees || 7–3 || Timlin (1–0) || Rivera (1–1) || — || 55,165 || 1–2|- style="background-color:#BBFFBB"| 4 || April 8 || @ Blue Jays || 6–5 || Arroyo (1–0) || Bush (0–1)|| Foulke (1) || 50,560 || 2–2|- style="background-color:#FFBBBB"| 5 || April 9 || @ Blue Jays || 12–5 || Frasor (1–0)|| Wells (0–2) || — || 28,765 || 2–3|- style="background-color:#FFBBBB"| 6 || April 10 || @ Blue Jays || 4–3 || Batista (1–0) || Timlin (1–1) || — || 22,845 || 2–4|- style="background-color:#BBFFBB"| 7 || April 11 || Yankees || 8–1 || Wakefield (1–0) || Mussina (0–1) || — || 33,702 || 3–4|- style="background-color:#FFBBBB"| 8 || April 13 || Yankees || 5–2 || Wright (1–1) || Schilling (0–1)|| Rivera (2) || 35,115 || 3–5|- style="background-color:#BBFFBB"| 9 || April 14 || Yankees || 8–5 || Foulke (1–1) || Gordon (0–1) || — || 35,251 || 4–5|- style="background-color:#BBFFBB"| 10 || April 15 || Devil Rays || 10–0 || Wells (1–2) || Nomo (1–1) || — || 35,023 || 5–5|- style="background-color:#BBFFBB"| 11 || April 16 || Devil Rays || 6–2 || Clement (1–0) || Brazelton (0–3) || — || 35,106 || 6–5|- style="background-color:#BBFFBB"| 12 || April 17 || Devil Rays || 3–1 || Wakefield (2–0) || Kazmir (0–1) || Foulke (2) || 35,232 || 7–5|- style="background-color:#BBFFBB"| 13 || April 18 || Blue Jays || 12–7 || Schilling (1–1) || Bush (0–2) || — || 35,243 || 8–5|- style="background-color:#FFBBBB"| 14 || April 19 || Blue Jays || 4–3 || Halladay (3–0) || Foulke (1–2) || Batista (4) || 35,598 || 8–6|- style="background-color:#BBFFBB"| 15 || April 20 || @ Orioles || 8–0 || Wells (2–2) || Chen (1–1) || — || 36,478 || 9–6|- style="background-color:#BBFFBB"| 16 || April 21 || @ Orioles || 1–0 || Clement (2–0) || López (2–1) || Foulke (3) || 40,419 || 10–6|- style="background-color:#FFBBBB"| 17 || April 22 || @ Devil Rays || 5–4 || Báez (3–0) || Embree (0–1) || — || 30,530 || 10–7|- style="background-color:#FFBBBB"| 18 || April 23 || @ Devil Rays || 6–5 || Fossum (1–1) || Schilling (1–2) || Carter (1) || 33,220 || 10–8|- style="background-color:#BBFFBB"| 19 || April 24 || @ Devil Rays || 11–3 || Arroyo (2–0) || Nomo (2–2) || — || 30,236 || 11–8|- style="background-color:#FFBBBB"| 20 || April 25 || @ Orioles || 8–4 || Chen (2–1) || Wells (2–3) || — || 35,003 || 11–9|- style="background-color:#FFBBBB"| 21 || April 26 || @ Orioles || 11–8 || Julio (1–0) || Foulke (1–3) || Ryan (3) || 35,670 || 11–10|- style="background-color:#BBBBBB"| – || April 27 || @ Orioles || colspan=6|Postponed (rain) Rescheduled for June 2|- style="background-color:#FFBBBB"| 22 || April 29 || @ Rangers || 7–2 || Park (3–1) || Wakefield (2–1) || Mahay (1) || 43,933 || 11–11|- style="background-color:#BBFFBB"| 23 || April 30 || @ Rangers || 9–2 || Arroyo (3–0) || Astacio (1–3) || — || 44,114 || 12–11|- style="background-color:#BBFFBB"| 24 || May 1 || @ Rangers || 6–5 || Clement (3–0) || Drese (2–3) || Foulke (4) || 49,342 || 13–11|- style="background-color:#FFBBBB"| 25 || May 2 || @ Tigers || 8–3 || Bonderman (4–2) || Neal (0–1) || Urbina (1) || 17,497 || 13–12|- style="background-color:#BBFFBB"| 26 || May 3 || @ Tigers || 5–3 || Halama (1–0) || Maroth (2–2) || Foulke (5) || 19,121 || 14–12|- style="background-color:#BBFFBB"| 27 || May 4 || @ Tigers || 4–3 || Wakefield (3–1) || Farnsworth (1–1) || Foulke (6) || 23,295 || 15–12|- style="background-color:#BBFFBB"| 28 || May 5 || @ Tigers || 2–1 || Arroyo (4–0) || Urbina (0–3) || Foulke (7) || 24,870 || 16–12|- style="background-color:#BBFFBB"| 29 || May 6 || Mariners || 7–2 || Clement (4–0) || Moyer (4–1) || — || 35,229 || 17–12|- style="background-color:#BBBBBB"| – || May 7 || Mariners || colspan=6|Postponed (rain) Rescheduled for May 8|- style="background-color:#BBFFBB"| 30 || May 8 || Mariners || 6–3 || González (1–0) || Piñeiro (2–3) || Foulke (8) || 34,848 || 18–12|- style="background-color:#FFBBBB"| 31 || May 8 || Mariners || 6–4 || Franklin (2–4) || Halama (1–1) || Guardado (9) || 34,671 || 18–13|- style="background-color:#BBFFBB"| 32 || May 9 || Athletics || 13–5 || Wakefield (4–1) || Haren (1–5) || — || 35,000 || 19–13|- style="background-color:#BBFFBB"| 33 || May 10 || Athletics || 3–2 || Matt Mantei (1–0) || Dotel (1–1) || — || 35,644 || 20–13|- style="background-color:#BBFFBB"| 34 || May 11 || Athletics || 6–5 || Foulke (2–3) || Dotel (1–2) || — || 35,375 || 21–13|- style="background-color:#FFBBBB"| 35 || May 13 || @ Mariners || 14–7 || Mateo (1–0) || González (1–1) || — || 44,534 || 21–14|- style="background-color:#BBFFBB"| 36 || May 14 || @ Mariners || 6–3 || Myers (1–0) || Villone (0–2) || Foulke (9) || 46,229 || 22–14|- style="background-color:#FFBBBB"| 37 || May 15 || @ Mariners || 5–4 || Meche (3–2) || Wakefield || Guardado (10) || 46,145 || 22–15|- style="background-color:#FFBBBB"| 38 || May 16 || @ Athletics || 6–4 || Yabu (3–0) || Myers (1–1) || Dotel (7) || 30,281 || 22–16|- style="background-color:#BBFFBB"| 39 || May 17 || @ Athletics || 7–5 || Embree (1–1) || Cruz (0–2) || Foulke (10) || 29,494 || 23–16|- style="background-color:#FFBBBB"| 40 || May 18 || @ Athletics || 13–6 || Etherton (1–0) || Wells (2–4) || — || 42,705 || 23–17|- style="background-color:#BBFFBB"| 41 || May 20 || Braves || 4–3 || Miller (1–0) || Hudson (4–3) || Foulke (11) || 35,332 || 24–17|- style="background-color:#FFBBBB"| 42 || May 21 || Braves || 7–5 || Davies (1–0) || Wakefield (4–3) || — || 35,008 || 24–18|- style="background-color:#BBFFBB"| 43 || May 22 || Braves || 5–2 || Clement (5–0) || Colón (0–1) || — || 34,844 || 25–18|- style="background-color:#FFBBBB"| 44 || May 24 || @ Blue Jays || 9–6 || Batista (3–0) || Embree (1–2) || — || 34,280 || 25–19|- style="background-color:#FFBBBB"| 45 || May 25 || @ Blue Jays || 6–1 || Lilly (3–4) || Arroyo (4–1) || — || 23,221 || 25–20|- style="background-color:#FFBBBB"| 46 || May 26 || @ Blue Jays || 8–1 || Chacín (5–3) || Miller (1–1) || Walker (2) || 26,255 || 25–21|- style="background-color:#FFBBBB"| 47 || May 27 || @ Yankees || 6–3 || Johnson (5–3) || Wakefield (4–4) || Rivera (12) || 55,051 || 25–22|- style="background-color:#BBFFBB"| 48 || May 28 || @ Yankees || 17–1 || Clement (6–0) || Pavano (4–3) || — || 55,315 || 26–22|- style="background-color:#BBFFBB"| 49 || May 29 || @ Yankees || 7–2 || Wells (3–4) || Mussina (5–3) || — || 55,235 || 27–22|- style="background-color:#FFBBBB"| 50 || May 30 || Orioles || 8–1 || Lopez (4–2) || Arroyo (4–2) || — || 35,483 || 27–23|- style="background-color:#BBFFBB"| 51 || May 31 || Orioles || 5–1 || Miller (2–1) || Cabrera (4–4) || — || 35,147 || 28–23|- style="background-color:#FFBBBB"| 52 || June 1 || Orioles || 9–3 || Ponson (6–3) || Wakefield (4–5) || — || 35,527 || 28–24|- style="background-color:#BBFFBB"| 53 || June 2 || Orioles || 6–4 || Foulke (3–3) || Ryan (0–1) || — || 35,138 || 29–24|- style="background-color:#BBFFBB"| 54 || June 3 || Angels || 7–4 || Myers (2–1) || Shields (4–3) || Foulke (12) || 35,328 || 30–24|- style="background-color:#FFBBBB"| 55 || June 4 || Angels || 13–6 || Colón (7–3) || Embree (1–3) || — || 34,754 || 30–25|- style="background-color:#BBFFBB"| 56 || June 5 || Angels || 6–3 || Myers (3–1) || Woods (1–1) || Foulke (13) || 35,008 || 31–25|- style="background-color:#FFBBBB"| 57 || June 6 || @ Cardinals || 7–1 ||  Morris (7–0) || Wakefield (4–6) || — || 50,270 || 31–26|- style="background-color:#FFBBBB"| 58 || June 7 || @ Cardinals || 9–2 || Suppan (5–5) || Clement (6–1) || — || 47,496 || 31–27|- style="background-color:#BBFFBB"| 59 || June 8 || @ Cardinals || 4–0 || Wells (4–4) || Carpenter (8–4) || — || 46,928 || 32–27|- style="background-color:#FFBBBB"| 60 || June 10 || @ Cubs || 14–6 || Maddux (5–3) || Arroyo (4–3) || — || 39,215 || 32–28|- style="background-color:#FFBBBB"| 61 || June 11 || @ Cubs || 7–6 || Wellemeyer (2–1) || Miller (2–2) || Dempster (8) || 39,096 || 32–29|- style="background-color:#BBFFBB"| 62 || June 12 || @ Cubs || 8–1 || Wakefield (5–6) || Rusch (5–2) || — || 39,138 || 33–29|- style="background-color:#BBFFBB"| 63 || June 13 || Reds || 10–3 || Clement (7–1) || Milton (3–8) || — || 35,478 || 34–29|- style="background-color:#BBFFBB"| 64 || June 14 || Reds || 7–0 || Wells (5–4) || Hudson (1–1) || — || 35,387 || 35–29|- style="background-color:#BBFFBB"| 65 || June 15 || Reds || 6–1 || Arroyo (5–3) || Harang (4–5) || — || 35,265 || 36–29|- style="background-color:#BBFFBB"| 66 || June 17 || Pirates || 6–5 || Foulke (4–3) || White (2–3) || — || 35,377 || 37–29|- style="background-color:#FFBBBB"| 67 || June 18 || Pirates || 2–0 || White (3–3) || Embree (1–4) || Mesa (18) || 35,216 || 37–30|- style="background-color:#BBFFBB"| 68 || June 19 || Pirates || 8–0 || Clement (8–1) || Wells (5–6) || — || 35,046 || 38–30|- style="background-color:#BBFFBB"| 69 || June 20 || @ Indians || 10–9 || Wells (6–4) || Sabathia (5–4) || Foulke (14) || 30,562 || 39–30|- style="background-color:#BBFFBB"| 70 || June 21 || @ Indians || 9–2 || Arroyo (6–3) || Millwood (2–5) || — || 28,450 || 40–30|- style="background-color:#BBFFBB"| 71 || June 22 || @ Indians || 5–4 || Foulke (5–3) || Wickman (0–2) || — || 29,915 || 41–30|- style="background-color:#BBFFBB"| 72 || June 24 || @ Phillies || 8–0 || Wakefield (6–6) || Lieber (8–7) || — || 45,090 || 42–30|- style="background-color:#BBFFBB"| 73 || June 25 || @ Phillies || 7–1 || Clement (9–1) || Padilla (3–7) || — || 44,868 || 43–30|- style="background-color:#BBFFBB"| 74 || June 26 || @ Phillies || 12–8 || Timlin (2–1) || Cormier (2–2) || — || 45,042 || 44–30|- style="background-color:#FFBBBB"| 75 || June 27 || Indians || 7–0 || Millwood (3–5) || Arroyo (6–4) || — || 35,458 || 44–31|- style="background-color:#FFBBBB"| 76 || June 28 || Indians || 12–8 || Miller (1–0) || Foulke (5–4) || — || 35,445 || 44–32|- style="background-color:#BBFFBB"| 77 || June 29 || Indians || 5–2 || Wakefield (7–6) || Elarton (4–3) || Timlin (1) || 35,069 || 45–32|- style="background-color:#FFBBBB"| 78 || July 1 || Blue Jays || 15–2 || Lilly (6–8) || Clement (9–2) || — || 35,302 || 45–33|- style="background-color:#BBFFBB"| 79 || July 2 || Blue Jays || 6–4 || Timlin (3–1) || Walker (3–2) || Foulke (15) || 35,268 || 46–33|- style="background-color:#FFBBBB"| 80 || July 3 || Blue Jays || 5–2 || Halladay (12–4) || Arroyo (6–5) || Schoeneweis (1) || 34,794 || 46–34|- style="background-color:#FFBBBB"| 81 || July 4 || @ Rangers || 6–5 || Benoit (1–0) || Foulke (5–5) || — || 50,492 || 46–35|- style="background-color:#BBFFBB"| 82 || July 5 || @ Rangers || 7–4 || Wakefield (8–6) || Young (8–5) || Timlin (2) || 33,356 || 47–35|- style="background-color:#BBFFBB"| 83 || July 6 || @ Rangers || 7–4 || Clement (10–2) || Park (8–3) || Embree (1) || 34,962 || 48–35|- style="background-color:#FFBBBB"| 84 || July 7 || @ Orioles || 3–1 || Cabrera (7–7) || Wells (6–5) || Byrdak (1) || 47,389 || 48–36|- style="background-color:#BBFFBB"| 85 || July 8 || @ Orioles || 7–2 || Arroyo (7–5) || Ponson (7–7) || — || 49,174 || 49–36|- style="background-color:#FFBBBB"| 86 || July 9 || @ Orioles || 9–1 || Chen (7–5) || Miller (2–3) || — || 49,331 || 49–37|- style="background-color:#FFBBBB"| 87 || July 10 || @ Orioles || 4–1 || Lopez (8–5) || Wakefield (8–7) || Ryan (19) || 49,828 || 49–38|- style="background-color:#FFBBBB"| 88 || July 14 || Yankees || 8–6 || Gordon (3–3) || Schilling (1–3) || Rivera (21) || 35,232 || 49–39|- style="background-color:#BBFFBB"| 89 || July 15 || Yankees || 17–1 || Wells (7–5) || Redding (0–6) || — || 35,083 || 50–39|- style="background-color:#FFBBBB"| 90 || July 16 || Yankees || 7–4 || Johnson (10–6) || Clement (10–3) || Rivera (22) || 34,694 || 50–40|- style="background-color:#FFBBBB"| 91 || July 17 || Yankees || 5–3 || Leiter (4–7) || Wakefield (8–8) || Rivera (23) || 34,802 || 50–41|- style="background-color:#FFBBBB"| 92 || July 18 || Devil Rays || 3–1 || Kazmir (4–7) || Miller (2–4) || Báez (17) || 35,405 || 50–42|- style="background-color:#BBFFBB"| 93 || July 19 || Devil Rays || 5–2 || Arroyo (8–5) || Fossum (4–8) || Schilling (1) || 35,428 || 51–42|- style="background-color:#BBFFBB"| 94 || July 20 || Devil Rays || 9–4 || Wells (8–5) || Hendrickson (4–7) || — || 35,123 || 52–42|- style="background-color:#BBFFBB"| 95 || July 21 || @ White Sox || 6–5 || Schilling (2–3) || Vizcaíno (4–4) || — || 36,784 || 53–42|- style="background-color:#FFBBBB"| 96 || July 22 || @ White Sox || 8–4 || Garland (15–4) || Wakefield (8–9) || — || 37,511 || 53–43|- style="background-color:#BBFFBB"| 97 || July 23 || @ White Sox || 3–0 || Miller (3–4) || Hernández (7–3) || Schilling (2) || 39,408 || 54–43|- style="background-color:#FFBBBB"| 98 || July 24 || @ White Sox || 6–4 || Contreras (6–6) || Arroyo (8–6) || Hermanson (23) || 37,168 || 54–44|- style="background-color:#FFBBBB"| 99 || July 25 || @ Devil Rays || 4–3 || Colomé (2–2) || Schilling (2–4) || — || 21,550 || 54–45|- style="background-color:#BBFFBB"| 100 || July 26 || @ Devil Rays || 10–9 || Schilling (3–4) || Báez (5–3) || — || 24,029 || 55–45|- style="background-color:#BBFFBB"| 101 || July 27 || @ Devil Rays || 4–1 || Wakefield (9–9) || McClung (1–6) || Schilling (3) || 22,079 || 56–45|- style="background-color:#BBFFBB"| 102 || July 29 || Twins || 8–5 || Arroyo (9–6) || Silva (7–5) || Schilling (4) || 35,211 || 57–45|- style="background-color:#BBFFBB"| 103 || July 30 || Twins || 6–2 || Wells (9–5) || Lohse (7–10) || — || 35,167 || 58–45|- style="background-color:#BBFFBB"| 104 || July 31 || Twins || 4–3 || Timlin (4–1) || Rincón (4–4) || Schilling (5) || 34,929 || 59–45|- style="background-color:#BBFFBB"| 105 || August 2 || Royals || 6–4 || Wakefield (10–9) || Burgos (1–4) || Schilling (6) || 35,386 || 60–45|- style="background-color:#BBFFBB"| 106 || August 3 || Royals || 8–5 || Miller (4–4) || Snyder || Schilling (7) || 35,055 || 61–45|- style="background-color:#BBFFBB"| 107 || August 4 || Royals || 11–9 || Clement (11–3) || Núñez (2–2) || Schilling (8) || 35,060 || 62–45|- style="background-color:#FFBBBB"| 108 || August 5 || @ Twins || 12–0 || Radke (7–10) || Arroyo (9–7) || — || 38,161 || 62–46|- style="background-color:#FFBBBB"| 109 || August 6 || @ Twins || 4–3 || Nathan (4–3) || Timlin (4–2) || — || 40,626 || 62–47|- style="background-color:#BBFFBB"| 110 || August 7 || @ Twins || 11–7 || Wakefield (11–9) || Mays (5–7) || Schilling (9) || 40,982 || 63–47|- style="background-color:#BBFFBB"| 111 || August 8 || Rangers || 11–6 || González (2–1) || Karsay (0–1) || — || 35,453 || 64–47|- style="background-color:#BBFFBB"| 112 || August 9 || Rangers || 8–7 || Schilling (4–4) || Gryboski (1–1) || — || 35,308 || 65–47|- style="background-color:#BBFFBB"| 113 || August 10 || Rangers || 16–5 || Arroyo (10–7) || Rogers (11–5) || — || 35,379 || 66–47|- style="background-color:#BBFFBB"| 114 || August 12 || White Sox || 9–8 || Bradford (1–0) || Buehrle (13–5) || — || 35,132 || 67–47|- style="background-color:#BBFFBB"| 115 || August 13 || White Sox || 7–4 || Wakefield (12–9) || Garland (16–6) || — || 35,055 || 68–47|- style="background-color:#BBBBBB"| – || August 14 || White Sox || colspan=6|Postponed (rain) Rescheduled for September 5|- style="background-color:#FFBBBB"| 116 || August 15 || @ Tigers || 7–6 ||  Walker (4–3) || Schilling (4–5) || — || 30,426 || 68–48|- style="background-color:#BBFFBB"| 117 || August 16 || @ Tigers || 10–7 || Bradford (2–0) || Dingman (1–2) || — || 32,129 || 69–48|- style="background-color:#FFBBBB"| 118 || August 17 || @ Tigers || 6–5 || Bonderman (14–9) || Wells (9–6) || Rodney (5) || 30,634 || 69–49|- style="background-color:#FFBBBB"| 119 || August 18 || @ Angels || 13–4 || Colón (16–6) || Wakefield (12–10) || — || 44,050 || 69–50|- style="background-color:#BBFFBB"| 120 || August 19 || @ Angels || 4–3 || Schilling (5–5) || Shields (8–9) || — || 43,896 || 70–50|- style="background-color:#FFBBBB"| 121 || August 20 || @ Angels || 4–2 || Santana (7–5) || Arroyo (10–8) || Rodríguez (28) || 44,014 || 70–51|- style="background-color:#BBFFBB"| 122 || August 21 || @ Angels || 5–1 || Timlin (5–2) || Byrd (9–8) || — || 44,022 || 71–51|- style="background-color:#BBFFBB"| 123 || August 23 || @ Royals || 5–2 || Wells (10–6) || Greinke (3–15) || — || 21,323 || 72–51|- style="background-color:#FFBBBB"| 124 || August 24 || @ Royals || 4–3 || Sisco (2–2) || Arroyo (10–9) || — || 18,871 || 72–52|- style="background-color:#FFBBBB"| 125 || August 25 || @ Royals || 7–4 || Lima (5–12) || Schilling (5–6) || MacDougal (17) || 21,815 || 72–53|- style="background-color:#BBFFBB"| 126 || August 26 || Tigers || 9–8 || Wakefield (13–10) || Johnson (7–10) || Timlin (3) || 35,056 || 73–53|- style="background-color:#FFBBBB"| 127 || August 27 || Tigers || 12–8 || Colón (2–5) || Papelbon (0–1) || — || 35,228 || 73–54|- style="background-color:#BBFFBB"| 128 || August 28 || Tigers || 11–3 || Wells (11–6) || Robertson (6–11) || — || 34,658 || 74–54|- style="background-color:#BBFFBB"| 129 || August 29 || Devil Rays || 10–6 || Clement (12–3) || McClung (5–8) || — || 35,007 || 75–54|- style="background-color:#BBFFBB"| 130 || August 30 || Devil Rays || 7–6 || Timlin (6–2) || Borowski (1–1) || — || 35,101 || 76–54|- style="background-color:#BBFFBB"| 131 || August 31 || Devil Rays || 7–6 || Wakefield (14–10) || Fossum (8–11) || Timlin (4) || 35,253 || 77–54|- style="background-color:#BBFFBB"| 132 || September 1 || Devil Rays || 7–4 || Arroyo (11–9) || Waechter (5–9) || Timlin (5) ||35,337 || 78–54|- style="background-color:#FFBBBB"| 133 || September 2 || Orioles || 7–3 || Maine (2–1) || DiNardo (0–1) || — || 35,156 || 78–55|- style="background-color:#BBFFBB"| 134 || September 3 || Orioles || 7–6 ||Clement (13–3) || Bédard (6–6) || Timlin (6) || 35,142 || 79–55|- style="background-color:#BBFFBB"| 135 || September 4 || Orioles || 5–1 || Wells (12–6) || Lopez (13–9) || — || 35,003 || 80–55|- style="background-color:#FFBBBB"| 136 || September 5 || White Sox || 5–3 || McCarthy (2–1) || Schilling (5–7) || — || 35,673 || 80–56|- style="background-color:#BBFFBB"| 137 || September 6 || Angels || 3–2 || Wakefield (15–10) || Shields (8–11)|| — || 35,061 || 81–56|- style="background-color:#BBFFBB"| 138 || September 7 || Angels || 6–3|| Arroyo (12–9) || Santana (8–7) || Timlin (7) || 35,423 || 82–56|- style="background-color:#FFBBBB"| 139 || September 8 || Angels || 3–0 || Byrd (11–9) || Clement (13–4) || Rodríguez (35) || 35,351 || 82–57|- style="background-color:#FFBBBB"| 140 || September 9 || @ Yankees || 8–4 || Small (7–0) || Wells (12–7) || — || 55,024 || 82–58|- style="background-color:#BBFFBB"| 141 || September 10 || @ Yankees || 9–2 || Schilling (6–7) || Chacón (5–10)|| — || 55,076 || 83–58|- style="background-color:#FFBBBB"| 142 || September 11 || @ Yankees || 1–0 || Johnson (14–8) || Wakefield (15–11) || Rivera (37) || 55,123 || 83–59|- style="background-color:#BBFFBB"| 143 || September 12 || @ Blue Jays || 6–5 ||  Papelbon (1–1) || Walker (6–5) || — || 24,617 || 84–59|- style="background-color:#FFBBBB"| 144 || September 13 || @ Blue Jays || 9–3 || Downs (3–3) || Clement (13–5) || — || 25,253 || 84–60|- style="background-color:#BBFFBB"| 145 || September 14 || @ Blue Jays || 1–0 || Wells (13–7) || Towers (11–11) || Timlin (8) || 25,865 || 85–60|- style="background-color:#FFBBBB"| 146 || September 15 || Athletics || 6–2 || Blanton (10–11) || Schilling (6–8) || — || 35,079 || 85–61|- style="background-color:#BBFFBB"| 147 || September 16 || Athletics || 3–2 || Timlin (7–2) || Cruz (0–3) || — || 35,249 || 86–61|- style="background-color:#BBFFBB"| 148 || September 17 || Athletics || 2–1 || Arroyo (13–9) || Haren (13–11) || Timlin (9) || 35,220 || 87–61|- style="background-color:#FFBBBB"| 149 || September 18 || Athletics || 12–3 || Saarloos (10–7) || Clement (13–6) || — || 34,849 || 87–62|- style="background-color:#FFBBBB"| 150 || September 19 || @ Devil Rays || 8–7 || Hendrickson (10–7) || Harville (0–3) || Báez (38) || 16,124 || 87–63|- style="background-color:#BBFFBB"| 151 || September 20 || @ Devil Rays || 15–2 || Schilling (7–8) || McClung (6–11)|| — || 18,723 || 88–63|- style="background-color:#FFBBBB"| 152 || September 21 || @ Devil Rays || 7–4 || Miller (2–2) || Timlin (7–3) || Báez (39) || 20,002 || 88–64|- style="background-color:#BBFFBB"| 153 || September 23 || @ Orioles || 6–3 || Arroyo (14–9) || Cabrera (10–12) || Timlin (10) || 46,850 || 89–64|- style="background-color:#BBFFBB"| 154 || September 24 || @ Orioles || 4–3 || Papelbon (2–1) || Ryan (1–4) || Timlin (11) || 48,612 || 90–64|- style="background-color:#BBFFBB"| 155 || September 25 || @ Orioles || 9–3 || Wells (14–7) || Maine (2–3) || — || 46,559 || 91–64|- style="background-color:#bbbbbb"| – || September 26 || Blue Jays || colspan=6|Postponed (rain) Rescheduled for September 27|- style="background-color:#BBFFBB"| 156 || September 27 || Blue Jays || 3–1 || Wakefield (16–11) || Bush (5–11) || Timlin (12) || 35,700 || 92–65|- style="background-color:#FFBBBB"| 157 || September 27 || Blue Jays || 5–7 || Frasor (3–5) || Bradford (2–1) || Batista (31) || 35,476 || 92–65|- style="background-color:#FFBBBB"| 158 || September 28 || Blue Jays || 7–2 || Lilly || Arroyo (14–10) || — || 35,313 || 92–66|- style="background-color:#BBFFBB"| 159 || September 29 || Blue Jays || 5–4 || Papelbon (3–1) || Batista (5–8) || — || 35,345 || 93–66|- style="background-color:#BBFFBB"| 160 || September 30 || Yankees || 5–3 || Wells (15–7) || Wang (8–5) || Timlin (13) || 34,832 || 94–66|- style="background-color:#FFBBBB"| 161 || October 1 || Yankees || 8–4 || Johnson (17–8) || Wakefield (16–12) || — || 34,556 || 94–67|- style="background-color:#BBFFBB"| 162 || October 2 || Yankees || 10–1 || Schilling (8–8) || Wright || — || 34,534 || 95–67

text: |- style="background-color:#ffbbbb"| 1 || April 3 || @

text: Yankees

text: || 9–2 ||

text: Johnson

text: (1–0) ||

text: Wells

text: (0–1) || — || 54,818 || 0–1|- style="background-color:#ffbbbb"| 2 || April 5 || @

text: Yankees

text: || 4–3 ||

text: Rivera

text: (1–0) ||

text: Foulke

text: (0–1) || — || 54,690 || 0–2|- style="background-color:#bbffbb"| 3 || April 6 || @

text: Yankees

text: || 7–3 ||

text: Timlin

text: (1–0) ||

text: Rivera

text: (1–1) || — || 55,165 || 1–2|- style="background-color:#BBFFBB"| 4 || April 8 || @

text: Blue Jays

text: || 6–5 ||

text: Arroyo

text: (1–0) ||

text: Bush

text: Foulke

text: (1) || 50,560 || 2–2|- style="background-color:#FFBBBB"| 5 || April 9 || @

text: Blue Jays

text: || 12–5 ||

text: Frasor

text: Wells

text: (0–2) || — || 28,765 || 2–3|- style="background-color:#FFBBBB"| 6 || April 10 || @

text: Blue Jays

text: || 4–3 ||

text: Batista

text: (1–0) ||

text: Timlin

text: (1–1) || — || 22,845 || 2–4|- style="background-color:#BBFFBB"| 7 || April 11 ||

text: Yankees

text: || 8–1 ||

text: Wakefield

text: (1–0) ||

text: Mussina

text: (0–1) || — || 33,702 || 3–4|- style="background-color:#FFBBBB"| 8 || April 13 ||

text: Yankees

text: || 5–2 ||

text: Wright

text: (1–1) ||

text: Schilling

text: Rivera

text: (2) || 35,115 || 3–5|- style="background-color:#BBFFBB"| 9 || April 14 ||

text: Yankees

text: || 8–5 ||

text: Foulke

text: (1–1) ||

text: Gordon

text: (0–1) || — || 35,251 || 4–5|- style="background-color:#BBFFBB"| 10 || April 15 ||

text: Devil Rays

text: || 10–0 ||

text: Wells

text: (1–2) ||

text: Nomo

text: (1–1) || — || 35,023 || 5–5|- style="background-color:#BBFFBB"| 11 || April 16 ||

text: Devil Rays

text: || 6–2 ||

text: Clement

text: (1–0) ||

text: Brazelton

text: (0–3) || — || 35,106 || 6–5|- style="background-color:#BBFFBB"| 12 || April 17 ||

text: Devil Rays

text: || 3–1 ||

text: Wakefield

text: (2–0) ||

text: Kazmir

text: (0–1) ||

text: Foulke

text: (2) || 35,232 || 7–5|- style="background-color:#BBFFBB"| 13 || April 18 ||

text: Blue Jays

text: || 12–7 ||

text: Schilling

text: (1–1) ||

text: Bush

text: (0–2) || — || 35,243 || 8–5|- style="background-color:#FFBBBB"| 14 || April 19 ||

text: Blue Jays

text: || 4–3 ||

text: Halladay

text: (3–0) ||

text: Foulke

text: (1–2) ||

text: Batista

text: (4) || 35,598 || 8–6|- style="background-color:#BBFFBB"| 15 || April 20 || @

text: Orioles

text: || 8–0 ||

text: Wells

text: (2–2) ||

text: Chen

text: (1–1) || — || 36,478 || 9–6|- style="background-color:#BBFFBB"| 16 || April 21 || @

text: Orioles

text: || 1–0 ||

text: Clement

text: (2–0) ||

text: López

text: (2–1) ||

text: Foulke

text: (3) || 40,419 || 10–6|- style="background-color:#FFBBBB"| 17 || April 22 || @

text: Devil Rays

text: || 5–4 ||

text: Báez

text: (3–0) ||

text: Embree

text: (0–1) || — || 30,530 || 10–7|- style="background-color:#FFBBBB"| 18 || April 23 || @

text: Devil Rays

text: || 6–5 ||

text: Fossum

text: (1–1) ||

text: Schilling

text: (1–2) ||

text: Carter

text: (1) || 33,220 || 10–8|- style="background-color:#BBFFBB"| 19 || April 24 || @

text: Devil Rays

text: || 11–3 ||

text: Arroyo

text: (2–0) ||

text: Nomo

text: (2–2) || — || 30,236 || 11–8|- style="background-color:#FFBBBB"| 20 || April 25 || @

text: Orioles

text: || 8–4 ||

text: Chen

text: (2–1) ||

text: Wells

text: (2–3) || — || 35,003 || 11–9|- style="background-color:#FFBBBB"| 21 || April 26 || @

text: Orioles

text: || 11–8 ||

text: Julio

text: (1–0) ||

text: Foulke

text: (1–3) ||

text: Ryan

text: (3) || 35,670 || 11–10|- style="background-color:#BBBBBB"| – || April 27 || @

text: Orioles

text: || colspan=6|Postponed (rain) Rescheduled for June 2|- style="background-color:#FFBBBB"| 22 || April 29 || @

text: Rangers

text: || 7–2 ||

text: Park

text: (3–1) ||

text: Wakefield

text: (2–1) ||

text: Mahay

text: (1) || 43,933 || 11–11|- style="background-color:#BBFFBB"| 23 || April 30 || @

text: Rangers

text: || 9–2 ||

text: Arroyo

text: (3–0) ||

text: Astacio

text: (1–3) || — || 44,114 || 12–11|- style="background-color:#BBFFBB"| 24 || May 1 || @

text: Rangers

text: || 6–5 ||

text: Clement

text: (3–0) ||

text: Drese

text: (2–3) ||

text: Foulke

text: (4) || 49,342 || 13–11|- style="background-color:#FFBBBB"| 25 || May 2 || @

text: Tigers

text: || 8–3 ||

text: Bonderman

text: (4–2) ||

text: Neal

text: (0–1) ||

text: Urbina

text: (1) || 17,497 || 13–12|- style="background-color:#BBFFBB"| 26 || May 3 || @

text: Tigers

text: || 5–3 ||

text: Halama

text: (1–0) ||

text: Maroth

text: (2–2) ||

text: Foulke

text: (5) || 19,121 || 14–12|- style="background-color:#BBFFBB"| 27 || May 4 || @

text: Tigers

text: || 4–3 ||

text: Wakefield

text: (3–1) ||

text: Farnsworth

text: (1–1) ||

text: Foulke

text: (6) || 23,295 || 15–12|- style="background-color:#BBFFBB"| 28 || May 5 || @

text: Tigers

text: || 2–1 ||

text: Arroyo

text: (4–0) ||

text: Urbina

text: (0–3) ||

text: Foulke

text: (7) || 24,870 || 16–12|- style="background-color:#BBFFBB"| 29 || May 6 ||

text: Mariners

text: || 7–2 ||

text: Clement

text: (4–0) ||

text: Moyer

text: (4–1) || — || 35,229 || 17–12|- style="background-color:#BBBBBB"| – || May 7 ||

text: Mariners

text: || colspan=6|Postponed (rain) Rescheduled for May 8|- style="background-color:#BBFFBB"| 30 || May 8 ||

text: Mariners

text: || 6–3 ||

text: González

text: (1–0) ||

text: Piñeiro

text: (2–3) ||

text: Foulke

text: (8) || 34,848 || 18–12|- style="background-color:#FFBBBB"| 31 || May 8 ||

text: Mariners

text: || 6–4 ||

text: Franklin

text: (2–4) ||

text: Halama

text: (1–1) ||

text: Guardado

text: (9) || 34,671 || 18–13|- style="background-color:#BBFFBB"| 32 || May 9 ||

text: Athletics

text: || 13–5 ||

text: Wakefield

text: (4–1) ||

text: Haren

text: (1–5) || — || 35,000 || 19–13|- style="background-color:#BBFFBB"| 33 || May 10 ||

text: Athletics

text: || 3–2 ||

text: Matt Mantei

text: (1–0) ||

text: Dotel

text: (1–1) || — || 35,644 || 20–13|- style="background-color:#BBFFBB"| 34 || May 11 ||

text: Athletics

text: || 6–5 ||

text: Foulke

text: (2–3) ||

text: Dotel

text: (1–2) || — || 35,375 || 21–13|- style="background-color:#FFBBBB"| 35 || May 13 || @

text: Mariners

text: || 14–7 ||

text: Mateo

text: (1–0) ||

text: González

text: (1–1) || — || 44,534 || 21–14|- style="background-color:#BBFFBB"| 36 || May 14 || @

text: Mariners

text: || 6–3 ||

text: Myers

text: (1–0) ||

text: Villone

text: (0–2) ||

text: Foulke

text: (9) || 46,229 || 22–14|- style="background-color:#FFBBBB"| 37 || May 15 || @

text: Mariners

text: || 5–4 ||

text: Meche

text: (3–2) ||

text: Wakefield

text: Guardado

text: (10) || 46,145 || 22–15|- style="background-color:#FFBBBB"| 38 || May 16 || @

text: Athletics

text: || 6–4 ||

text: Yabu

text: (3–0) ||

text: Myers

text: (1–1) ||

text: Dotel

text: (7) || 30,281 || 22–16|- style="background-color:#BBFFBB"| 39 || May 17 || @

text: Athletics

text: || 7–5 ||

text: Embree

text: (1–1) ||

text: Cruz

text: (0–2) ||

text: Foulke

text: (10) || 29,494 || 23–16|- style="background-color:#FFBBBB"| 40 || May 18 || @

text: Athletics

text: || 13–6 ||

text: Etherton

text: (1–0) ||

text: Wells

text: (2–4) || — || 42,705 || 23–17|- style="background-color:#BBFFBB"| 41 || May 20 ||

text: Braves

text: || 4–3 ||

text: Miller

text: (1–0) ||

text: Hudson

text: (4–3) ||

text: Foulke

text: (11) || 35,332 || 24–17|- style="background-color:#FFBBBB"| 42 || May 21 ||

text: Braves

text: || 7–5 ||

text: Davies

text: (1–0) ||

text: Wakefield

text: (4–3) || — || 35,008 || 24–18|- style="background-color:#BBFFBB"| 43 || May 22 ||

text: Braves

text: || 5–2 ||

text: Clement

text: (5–0) ||

text: Colón

text: (0–1) || — || 34,844 || 25–18|- style="background-color:#FFBBBB"| 44 || May 24 || @

text: Blue Jays

text: || 9–6 ||

text: Batista

text: (3–0) ||

text: Embree

text: (1–2) || — || 34,280 || 25–19|- style="background-color:#FFBBBB"| 45 || May 25 || @

text: Blue Jays

text: || 6–1 ||

text: Lilly

text: (3–4) ||

text: Arroyo

text: (4–1) || — || 23,221 || 25–20|- style="background-color:#FFBBBB"| 46 || May 26 || @

text: Blue Jays

text: || 8–1 ||

text: Chacín

text: (5–3) ||

text: Miller

text: (1–1) ||

text: Walker

text: (2) || 26,255 || 25–21|- style="background-color:#FFBBBB"| 47 || May 27 || @

text: Yankees

text: || 6–3 ||

text: Johnson

text: (5–3) ||

text: Wakefield

text: (4–4) ||

text: Rivera

text: (12) || 55,051 || 25–22|- style="background-color:#BBFFBB"| 48 || May 28 || @

text: Yankees

text: || 17–1 ||

text: Clement

text: (6–0) ||

text: Pavano

text: (4–3) || — || 55,315 || 26–22|- style="background-color:#BBFFBB"| 49 || May 29 || @

text: Yankees

text: || 7–2 ||

text: Wells

text: (3–4) ||

text: Mussina

text: (5–3) || — || 55,235 || 27–22|- style="background-color:#FFBBBB"| 50 || May 30 ||

text: Orioles

text: || 8–1 ||

text: Lopez

text: (4–2) ||

text: Arroyo

text: (4–2) || — || 35,483 || 27–23|- style="background-color:#BBFFBB"| 51 || May 31 ||

text: Orioles

text: || 5–1 ||

text: Miller

text: (2–1) ||

text: Cabrera

text: (4–4) || — || 35,147 || 28–23|- style="background-color:#FFBBBB"| 52 || June 1 ||

text: Orioles

text: || 9–3 ||

text: Ponson

text: (6–3) ||

text: Wakefield

text: (4–5) || — || 35,527 || 28–24|- style="background-color:#BBFFBB"| 53 || June 2 ||

text: Orioles

text: || 6–4 ||

text: Foulke

text: (3–3) ||

text: Ryan

text: (0–1) || — || 35,138 || 29–24|- style="background-color:#BBFFBB"| 54 || June 3 ||

text: Angels

text: || 7–4 ||

text: Myers

text: (2–1) ||

text: Shields

text: (4–3) ||

text: Foulke

text: (12) || 35,328 || 30–24|- style="background-color:#FFBBBB"| 55 || June 4 ||

text: Angels

text: || 13–6 ||

text: Colón

text: (7–3) ||

text: Embree

text: (1–3) || — || 34,754 || 30–25|- style="background-color:#BBFFBB"| 56 || June 5 ||

text: Angels

text: || 6–3 ||

text: Myers

text: (3–1) ||

text: Woods

text: (1–1) ||

text: Foulke

text: (13) || 35,008 || 31–25|- style="background-color:#FFBBBB"| 57 || June 6 || @

text: Cardinals

text: || 7–1 ||

text: Morris

text: (7–0) ||

text: Wakefield

text: (4–6) || — || 50,270 || 31–26|- style="background-color:#FFBBBB"| 58 || June 7 || @

text: Cardinals

text: || 9–2 ||

text: Suppan

text: (5–5) ||

text: Clement

text: (6–1) || — || 47,496 || 31–27|- style="background-color:#BBFFBB"| 59 || June 8 || @

text: Cardinals

text: || 4–0 ||

text: Wells

text: (4–4) ||

text: Carpenter

text: (8–4) || — || 46,928 || 32–27|- style="background-color:#FFBBBB"| 60 || June 10 || @

text: Cubs

text: || 14–6 ||

text: Maddux

text: (5–3) ||

text: Arroyo

text: (4–3) || — || 39,215 || 32–28|- style="background-color:#FFBBBB"| 61 || June 11 || @

text: Cubs

text: || 7–6 ||

text: Wellemeyer

text: (2–1) ||

text: Miller

text: (2–2) ||

text: Dempster

text: (8) || 39,096 || 32–29|- style="background-color:#BBFFBB"| 62 || June 12 || @

text: Cubs

text: || 8–1 ||

text: Wakefield

text: (5–6) ||

text: Rusch

text: (5–2) || — || 39,138 || 33–29|- style="background-color:#BBFFBB"| 63 || June 13 ||

text: Reds

text: || 10–3 ||

text: Clement

text: (7–1) ||

text: Milton

text: (3–8) || — || 35,478 || 34–29|- style="background-color:#BBFFBB"| 64 || June 14 ||

text: Reds

text: || 7–0 ||

text: Wells

text: (5–4) ||

text: Hudson

text: (1–1) || — || 35,387 || 35–29|- style="background-color:#BBFFBB"| 65 || June 15 ||

text: Reds

text: || 6–1 ||

text: Arroyo

text: (5–3) ||

text: Harang

text: (4–5) || — || 35,265 || 36–29|- style="background-color:#BBFFBB"| 66 || June 17 ||

text: Pirates

text: || 6–5 ||

text: Foulke

text: (4–3) ||

text: White

text: (2–3) || — || 35,377 || 37–29|- style="background-color:#FFBBBB"| 67 || June 18 ||

text: Pirates

text: || 2–0 ||

text: White

text: (3–3) ||

text: Embree

text: (1–4) ||

text: Mesa

text: (18) || 35,216 || 37–30|- style="background-color:#BBFFBB"| 68 || June 19 ||

text: Pirates

text: || 8–0 ||

text: Clement

text: (8–1) ||

text: Wells

text: (5–6) || — || 35,046 || 38–30|- style="background-color:#BBFFBB"| 69 || June 20 || @

text: Indians

text: || 10–9 ||

text: Wells

text: (6–4) ||

text: Sabathia

text: (5–4) ||

text: Foulke

text: (14) || 30,562 || 39–30|- style="background-color:#BBFFBB"| 70 || June 21 || @

text: Indians

text: || 9–2 ||

text: Arroyo

text: (6–3) ||

text: Millwood

text: (2–5) || — || 28,450 || 40–30|- style="background-color:#BBFFBB"| 71 || June 22 || @

text: Indians

text: || 5–4 ||

text: Foulke

text: (5–3) ||

text: Wickman

text: (0–2) || — || 29,915 || 41–30|- style="background-color:#BBFFBB"| 72 || June 24 || @

text: Phillies

text: || 8–0 ||

text: Wakefield

text: (6–6) ||

text: Lieber

text: (8–7) || — || 45,090 || 42–30|- style="background-color:#BBFFBB"| 73 || June 25 || @

text: Phillies

text: || 7–1 ||

text: Clement

text: (9–1) ||

text: Padilla

text: (3–7) || — || 44,868 || 43–30|- style="background-color:#BBFFBB"| 74 || June 26 || @

text: Phillies

text: || 12–8 ||

text: Timlin

text: (2–1) ||

text: Cormier

text: (2–2) || — || 45,042 || 44–30|- style="background-color:#FFBBBB"| 75 || June 27 ||

text: Indians

text: || 7–0 ||

text: Millwood

text: (3–5) ||

text: Arroyo

text: (6–4) || — || 35,458 || 44–31|- style="background-color:#FFBBBB"| 76 || June 28 ||

text: Indians

text: || 12–8 ||

text: Miller

text: (1–0) ||

text: Foulke

text: (5–4) || — || 35,445 || 44–32|- style="background-color:#BBFFBB"| 77 || June 29 ||

text: Indians

text: || 5–2 ||

text: Wakefield

text: (7–6) ||

text: Elarton

text: (4–3) ||

text: Timlin

text: (1) || 35,069 || 45–32|- style="background-color:#FFBBBB"| 78 || July 1 ||

text: Blue Jays

text: || 15–2 ||

text: Lilly

text: (6–8) ||

text: Clement

text: (9–2) || — || 35,302 || 45–33|- style="background-color:#BBFFBB"| 79 || July 2 ||

text: Blue Jays

text: || 6–4 ||

text: Timlin

text: (3–1) ||

text: Walker

text: (3–2) ||

text: Foulke

text: (15) || 35,268 || 46–33|- style="background-color:#FFBBBB"| 80 || July 3 ||

text: Blue Jays

text: || 5–2 ||

text: Halladay

text: (12–4) ||

text: Arroyo

text: (6–5) ||

text: Schoeneweis

text: (1) || 34,794 || 46–34|- style="background-color:#FFBBBB"| 81 || July 4 || @

text: Rangers

text: || 6–5 ||

text: Benoit

text: (1–0) ||

text: Foulke

text: (5–5) || — || 50,492 || 46–35|- style="background-color:#BBFFBB"| 82 || July 5 || @

text: Rangers

text: || 7–4 ||

text: Wakefield

text: (8–6) ||

text: Young

text: (8–5) ||

text: Timlin

text: (2) || 33,356 || 47–35|- style="background-color:#BBFFBB"| 83 || July 6 || @

text: Rangers

text: || 7–4 ||

text: Clement

text: (10–2) ||

text: Park

text: (8–3) ||

text: Embree

text: (1) || 34,962 || 48–35|- style="background-color:#FFBBBB"| 84 || July 7 || @

text: Orioles

text: || 3–1 ||

text: Cabrera

text: (7–7) ||

text: Wells

text: (6–5) ||

text: Byrdak

text: (1) || 47,389 || 48–36|- style="background-color:#BBFFBB"| 85 || July 8 || @

text: Orioles

text: || 7–2 ||

text: Arroyo

text: (7–5) ||

text: Ponson

text: (7–7) || — || 49,174 || 49–36|- style="background-color:#FFBBBB"| 86 || July 9 || @

text: Orioles

text: || 9–1 ||

text: Chen

text: (7–5) ||

text: Miller

text: (2–3) || — || 49,331 || 49–37|- style="background-color:#FFBBBB"| 87 || July 10 || @

text: Orioles

text: || 4–1 ||

text: Lopez

text: (8–5) ||

text: Wakefield

text: (8–7) ||

text: Ryan

text: (19) || 49,828 || 49–38|- style="background-color:#FFBBBB"| 88 || July 14 ||

text: Yankees

text: || 8–6 ||

text: Gordon

text: (3–3) ||

text: Schilling

text: (1–3) ||

text: Rivera

text: (21) || 35,232 || 49–39|- style="background-color:#BBFFBB"| 89 || July 15 ||

text: Yankees

text: || 17–1 ||

text: Wells

text: (7–5) ||

text: Redding

text: (0–6) || — || 35,083 || 50–39|- style="background-color:#FFBBBB"| 90 || July 16 ||

text: Yankees

text: || 7–4 ||

text: Johnson

text: (10–6) ||

text: Clement

text: (10–3) ||

text: Rivera

text: (22) || 34,694 || 50–40|- style="background-color:#FFBBBB"| 91 || July 17 ||

text: Yankees

text: || 5–3 ||

text: Leiter

text: (4–7) ||

text: Wakefield

text: (8–8) ||

text: Rivera

text: (23) || 34,802 || 50–41|- style="background-color:#FFBBBB"| 92 || July 18 ||

text: Devil Rays

text: || 3–1 ||

text: Kazmir

text: (4–7) ||

text: Miller

text: (2–4) ||

text: Báez

text: (17) || 35,405 || 50–42|- style="background-color:#BBFFBB"| 93 || July 19 ||

text: Devil Rays

text: || 5–2 ||

text: Arroyo

text: (8–5) ||

text: Fossum

text: (4–8) ||

text: Schilling

text: (1) || 35,428 || 51–42|- style="background-color:#BBFFBB"| 94 || July 20 ||

text: Devil Rays

text: || 9–4 ||

text: Wells

text: (8–5) ||

text: Hendrickson

text: (4–7) || — || 35,123 || 52–42|- style="background-color:#BBFFBB"| 95 || July 21 || @

text: White Sox

text: || 6–5 ||

text: Schilling

text: (2–3) ||

text: Vizcaíno

text: (4–4) || — || 36,784 || 53–42|- style="background-color:#FFBBBB"| 96 || July 22 || @

text: White Sox

text: || 8–4 ||

text: Garland

text: (15–4) ||

text: Wakefield

text: (8–9) || — || 37,511 || 53–43|- style="background-color:#BBFFBB"| 97 || July 23 || @

text: White Sox

text: || 3–0 ||

text: Miller

text: (3–4) ||

text: Hernández

text: (7–3) ||

text: Schilling

text: (2) || 39,408 || 54–43|- style="background-color:#FFBBBB"| 98 || July 24 || @

text: White Sox

text: || 6–4 ||

text: Contreras

text: (6–6) ||

text: Arroyo

text: (8–6) ||

text: Hermanson

text: (23) || 37,168 || 54–44|- style="background-color:#FFBBBB"| 99 || July 25 || @

text: Devil Rays

text: || 4–3 ||

text: Colomé

text: (2–2) ||

text: Schilling

text: (2–4) || — || 21,550 || 54–45|- style="background-color:#BBFFBB"| 100 || July 26 || @

text: Devil Rays

text: || 10–9 ||

text: Schilling

text: (3–4) ||

text: Báez

text: (5–3) || — || 24,029 || 55–45|- style="background-color:#BBFFBB"| 101 || July 27 || @

text: Devil Rays

text: || 4–1 ||

text: Wakefield

text: (9–9) ||

text: McClung

text: (1–6) ||

text: Schilling

text: (3) || 22,079 || 56–45|- style="background-color:#BBFFBB"| 102 || July 29 ||

text: Twins

text: || 8–5 ||

text: Arroyo

text: (9–6) ||

text: Silva

text: (7–5) ||

text: Schilling

text: (4) || 35,211 || 57–45|- style="background-color:#BBFFBB"| 103 || July 30 ||

text: Twins

text: || 6–2 ||

text: Wells

text: (9–5) ||

text: Lohse

text: (7–10) || — || 35,167 || 58–45|- style="background-color:#BBFFBB"| 104 || July 31 ||

text: Twins

text: || 4–3 ||

text: Timlin

text: (4–1) ||

text: Rincón

text: (4–4) ||

text: Schilling

text: (5) || 34,929 || 59–45|- style="background-color:#BBFFBB"| 105 || August 2 ||

text: Royals

text: || 6–4 ||

text: Wakefield

text: (10–9) ||

text: Burgos

text: (1–4) ||

text: Schilling

text: (6) || 35,386 || 60–45|- style="background-color:#BBFFBB"| 106 || August 3 ||

text: Royals

text: || 8–5 ||

text: Miller

text: (4–4) ||

text: Snyder

text: Schilling

text: (7) || 35,055 || 61–45|- style="background-color:#BBFFBB"| 107 || August 4 ||

text: Royals

text: || 11–9 ||

text: Clement

text: (11–3) ||

text: Núñez

text: (2–2) ||

text: Schilling

text: (8) || 35,060 || 62–45|- style="background-color:#FFBBBB"| 108 || August 5 || @

text: Twins

text: || 12–0 ||

text: Radke

text: (7–10) ||

text: Arroyo

text: (9–7) || — || 38,161 || 62–46|- style="background-color:#FFBBBB"| 109 || August 6 || @

text: Twins

text: || 4–3 ||

text: Nathan

text: (4–3) ||

text: Timlin

text: (4–2) || — || 40,626 || 62–47|- style="background-color:#BBFFBB"| 110 || August 7 || @

text: Twins

text: || 11–7 ||

text: Wakefield

text: (11–9) ||

text: Mays

text: (5–7) ||

text: Schilling

text: (9) || 40,982 || 63–47|- style="background-color:#BBFFBB"| 111 || August 8 ||

text: Rangers

text: || 11–6 ||

text: González

text: (2–1) ||

text: Karsay

text: (0–1) || — || 35,453 || 64–47|- style="background-color:#BBFFBB"| 112 || August 9 ||

text: Rangers

text: || 8–7 ||

text: Schilling

text: (4–4) ||

text: Gryboski

text: (1–1) || — || 35,308 || 65–47|- style="background-color:#BBFFBB"| 113 || August 10 ||

text: Rangers

text: || 16–5 ||

text: Arroyo

text: (10–7) ||

text: Rogers

text: (11–5) || — || 35,379 || 66–47|- style="background-color:#BBFFBB"| 114 || August 12 ||

text: White Sox

text: || 9–8 ||

text: Bradford

text: (1–0) ||

text: Buehrle

text: (13–5) || — || 35,132 || 67–47|- style="background-color:#BBFFBB"| 115 || August 13 ||

text: White Sox

text: || 7–4 ||

text: Wakefield

text: (12–9) ||

text: Garland

text: (16–6) || — || 35,055 || 68–47|- style="background-color:#BBBBBB"| – || August 14 ||

text: White Sox

text: || colspan=6|Postponed (rain) Rescheduled for September 5|- style="background-color:#FFBBBB"| 116 || August 15 || @

text: Tigers

text: || 7–6 ||

text: Walker

text: (4–3) ||

text: Schilling

text: (4–5) || — || 30,426 || 68–48|- style="background-color:#BBFFBB"| 117 || August 16 || @

text: Tigers

text: || 10–7 ||

text: Bradford

text: (2–0) ||

text: Dingman

text: (1–2) || — || 32,129 || 69–48|- style="background-color:#FFBBBB"| 118 || August 17 || @

text: Tigers

text: || 6–5 ||

text: Bonderman

text: (14–9) ||

text: Wells

text: (9–6) ||

text: Rodney

text: (5) || 30,634 || 69–49|- style="background-color:#FFBBBB"| 119 || August 18 || @

text: Angels

text: || 13–4 ||

text: Colón

text: (16–6) ||

text: Wakefield

text: (12–10) || — || 44,050 || 69–50|- style="background-color:#BBFFBB"| 120 || August 19 || @

text: Angels

text: || 4–3 ||

text: Schilling

text: (5–5) ||

text: Shields

text: (8–9) || — || 43,896 || 70–50|- style="background-color:#FFBBBB"| 121 || August 20 || @

text: Angels

text: || 4–2 ||

text: Santana

text: (7–5) ||

text: Arroyo

text: (10–8) ||

text: Rodríguez

text: (28) || 44,014 || 70–51|- style="background-color:#BBFFBB"| 122 || August 21 || @

text: Angels

text: || 5–1 ||

text: Timlin

text: (5–2) ||

text: Byrd

text: (9–8) || — || 44,022 || 71–51|- style="background-color:#BBFFBB"| 123 || August 23 || @

text: Royals

text: || 5–2 ||

text: Wells

text: (10–6) ||

text: Greinke

text: (3–15) || — || 21,323 || 72–51|- style="background-color:#FFBBBB"| 124 || August 24 || @

text: Royals

text: || 4–3 ||

text: Sisco

text: (2–2) ||

text: Arroyo

text: (10–9) || — || 18,871 || 72–52|- style="background-color:#FFBBBB"| 125 || August 25 || @

text: Royals

text: || 7–4 ||

text: Lima

text: (5–12) ||

text: Schilling

text: (5–6) ||

text: MacDougal

text: (17) || 21,815 || 72–53|- style="background-color:#BBFFBB"| 126 || August 26 ||

text: Tigers

text: || 9–8 ||

text: Wakefield

text: (13–10) ||

text: Johnson

text: (7–10) ||

text: Timlin

text: (3) || 35,056 || 73–53|- style="background-color:#FFBBBB"| 127 || August 27 ||

text: Tigers

text: || 12–8 ||

text: Colón

text: (2–5) ||

text: Papelbon

text: (0–1) || — || 35,228 || 73–54|- style="background-color:#BBFFBB"| 128 || August 28 ||

text: Tigers

text: || 11–3 ||

text: Wells

text: (11–6) ||

text: Robertson

text: (6–11) || — || 34,658 || 74–54|- style="background-color:#BBFFBB"| 129 || August 29 ||

text: Devil Rays

text: || 10–6 ||

text: Clement

text: (12–3) ||

text: McClung

text: (5–8) || — || 35,007 || 75–54|- style="background-color:#BBFFBB"| 130 || August 30 ||

text: Devil Rays

text: || 7–6 ||

text: Timlin

text: (6–2) ||

text: Borowski

text: (1–1) || — || 35,101 || 76–54|- style="background-color:#BBFFBB"| 131 || August 31 ||

text: Devil Rays

text: || 7–6 ||

text: Wakefield

text: (14–10) ||

text: Fossum

text: (8–11) ||

text: Timlin

text: (4) || 35,253 || 77–54|- style="background-color:#BBFFBB"| 132 || September 1 ||

text: Devil Rays

text: || 7–4 ||

text: Arroyo

text: (11–9) ||

text: Waechter

text: (5–9) ||

text: Timlin

text: (5) ||35,337 || 78–54|- style="background-color:#FFBBBB"| 133 || September 2 ||

text: Orioles

text: || 7–3 ||

text: Maine

text: (2–1) ||

text: DiNardo

text: (0–1) || — || 35,156 || 78–55|- style="background-color:#BBFFBB"| 134 || September 3 ||

text: Orioles

text: || 7–6 ||

text: Clement

text: (13–3) ||

text: Bédard

text: (6–6) ||

text: Timlin

text: (6) || 35,142 || 79–55|- style="background-color:#BBFFBB"| 135 || September 4 ||

text: Orioles

text: || 5–1 ||

text: Wells

text: (12–6) ||

text: Lopez

text: (13–9) || — || 35,003 || 80–55|- style="background-color:#FFBBBB"| 136 || September 5 ||

text: White Sox

text: || 5–3 ||

text: McCarthy

text: (2–1) ||

text: Schilling

text: (5–7) || — || 35,673 || 80–56|- style="background-color:#BBFFBB"| 137 || September 6 ||

text: Angels

text: || 3–2 ||

text: Wakefield

text: (15–10) ||

text: Shields

text: (8–11)|| — || 35,061 || 81–56|- style="background-color:#BBFFBB"| 138 || September 7 ||

text: Angels

text: || 6–3||

text: Arroyo

text: (12–9) ||

text: Santana

text: (8–7) ||

text: Timlin

text: (7) || 35,423 || 82–56|- style="background-color:#FFBBBB"| 139 || September 8 ||

text: Angels

text: || 3–0 ||

text: Byrd

text: (11–9) ||

text: Clement

text: (13–4) ||

text: Rodríguez

text: (35) || 35,351 || 82–57|- style="background-color:#FFBBBB"| 140 || September 9 || @

text: Yankees

text: || 8–4 ||

text: Small

text: (7–0) ||

text: Wells

text: (12–7) || — || 55,024 || 82–58|- style="background-color:#BBFFBB"| 141 || September 10 || @

text: Yankees

text: || 9–2 ||

text: Schilling

text: (6–7) ||

text: Chacón

text: (5–10)|| — || 55,076 || 83–58|- style="background-color:#FFBBBB"| 142 || September 11 || @

text: Yankees

text: || 1–0 ||

text: Johnson

text: (14–8) ||

text: Wakefield

text: (15–11) ||

text: Rivera

text: (37) || 55,123 || 83–59|- style="background-color:#BBFFBB"| 143 || September 12 || @

text: Blue Jays

text: || 6–5 ||

text: Papelbon

text: (1–1) ||

text: Walker

text: (6–5) || — || 24,617 || 84–59|- style="background-color:#FFBBBB"| 144 || September 13 || @

text: Blue Jays

text: || 9–3 ||

text: Downs

text: (3–3) ||

text: Clement

text: (13–5) || — || 25,253 || 84–60|- style="background-color:#BBFFBB"| 145 || September 14 || @

text: Blue Jays

text: || 1–0 ||

text: Wells

text: (13–7) ||

text: Towers

text: (11–11) ||

text: Timlin

text: (8) || 25,865 || 85–60|- style="background-color:#FFBBBB"| 146 || September 15 ||

text: Athletics

text: || 6–2 ||

text: Blanton

text: (10–11) ||

text: Schilling

text: (6–8) || — || 35,079 || 85–61|- style="background-color:#BBFFBB"| 147 || September 16 ||

text: Athletics

text: || 3–2 ||

text: Timlin

text: (7–2) ||

text: Cruz

text: (0–3) || — || 35,249 || 86–61|- style="background-color:#BBFFBB"| 148 || September 17 ||

text: Athletics

text: || 2–1 ||

text: Arroyo

text: (13–9) ||

text: Haren

text: (13–11) ||

text: Timlin

text: (9) || 35,220 || 87–61|- style="background-color:#FFBBBB"| 149 || September 18 ||

text: Athletics

text: || 12–3 ||

text: Saarloos

text: (10–7) ||

text: Clement

text: (13–6) || — || 34,849 || 87–62|- style="background-color:#FFBBBB"| 150 || September 19 || @

text: Devil Rays

text: || 8–7 ||

text: Hendrickson

text: (10–7) ||

text: Harville

text: (0–3) ||

text: Báez

text: (38) || 16,124 || 87–63|- style="background-color:#BBFFBB"| 151 || September 20 || @

text: Devil Rays

text: || 15–2 ||

text: Schilling

text: (7–8) ||

text: McClung

text: (6–11)|| — || 18,723 || 88–63|- style="background-color:#FFBBBB"| 152 || September 21 || @

text: Devil Rays

text: || 7–4 ||

text: Miller

text: (2–2) ||

text: Timlin

text: (7–3) ||

text: Báez

text: (39) || 20,002 || 88–64|- style="background-color:#BBFFBB"| 153 || September 23 || @

text: Orioles

text: || 6–3 ||

text: Arroyo

text: (14–9) ||

text: Cabrera

text: (10–12) ||

text: Timlin

text: (10) || 46,850 || 89–64|- style="background-color:#BBFFBB"| 154 || September 24 || @

text: Orioles

text: || 4–3 ||

text: Papelbon

text: (2–1) ||

text: Ryan

text: (1–4) ||

text: Timlin

text: (11) || 48,612 || 90–64|- style="background-color:#BBFFBB"| 155 || September 25 || @

text: Orioles

text: || 9–3 ||

text: Wells

text: (14–7) ||

text: Maine

text: (2–3) || — || 46,559 || 91–64|- style="background-color:#bbbbbb"| – || September 26 ||

text: Blue Jays

text: || colspan=6|Postponed (rain) Rescheduled for September 27|- style="background-color:#BBFFBB"| 156 || September 27 ||

text: Blue Jays

text: || 3–1 ||

text: Wakefield

text: (16–11) ||

text: Bush

text: (5–11) ||

text: Timlin

text: (12) || 35,700 || 92–65|- style="background-color:#FFBBBB"| 157 || September 27 ||

text: Blue Jays

text: || 5–7 ||

text: Frasor

text: (3–5) ||

text: Bradford

text: (2–1) ||

text: Batista

text: (31) || 35,476 || 92–65|- style="background-color:#FFBBBB"| 158 || September 28 ||

text: Blue Jays

text: || 7–2 ||

text: Lilly

text: Arroyo

text: (14–10) || — || 35,313 || 92–66|- style="background-color:#BBFFBB"| 159 || September 29 ||

text: Blue Jays

text: || 5–4 ||

text: Papelbon

text: (3–1) ||

text: Batista

text: (5–8) || — || 35,345 || 93–66|- style="background-color:#BBFFBB"| 160 || September 30 ||

text: Yankees

text: || 5–3 ||

text: Wells

text: (15–7) ||

text: Wang

text: (8–5) ||

text: Timlin

text: (13) || 34,832 || 94–66|- style="background-color:#FFBBBB"| 161 || October 1 ||

text: Yankees

text: || 8–4 ||

text: Johnson

text: (17–8) ||

text: Wakefield

text: (16–12) || — || 34,556 || 94–67|- style="background-color:#BBFFBB"| 162 || October 2 ||

text: Yankees

text: || 10–1 ||

text: Schilling

text: (8–8) ||

text: Wright

text: || — || 34,534 || 95–67

text: Several colors of laser light (quantified by the laser wavelength) are used for tattoo removal, from visible light to near-infrared radiation. Different lasers are better for different tattoo colors. Consequently, multi-color tattoo removal almost always requires the use of two or more laser wavelengths. Tattoo removal lasers are usually identified by the lasing medium used to create the wavelength (measured in nanometers (nm)):

text: |- style="background-color:#ffbbbb"| 1 || April 4 || @ Blue Jays || 6–3 || Halladay || Santana || Ryan || 50,449 || 0–1|- style="background-color:#bbffbb"| 2 || April 5 || @ Blue Jays || 13–4 || Radke || Towers || || 18,156 || 1–1|- style="background-color:#ffbbbb"| 3 || April 6 || @ Blue Jays || 6–3 || Chacín || Silva || Ryan || 16,221 || 1–2|- style="background-color:#ffbbbb"| 4 || April 7 || @ Indians || 11–6 || Byrd || Lohse || || 42,445 || 1–3|- style="background-color:#ffbbbb"| 5 || April 8 || @ Indians || 3–0 || Johnson || Baker || Wickman || 25,107 || 1–4|- style="background-color:#ffbbbb"| 6 || April 9 || @ Indians || 3–2 || Westbrook || Santana || Wickman || 23,311 || 1–5|- style="background-color:#bbffbb"| 7 || April 11 || Athletics || 7–6 || Radke || Haren || Nathan || 48,911 || 2–5|- style="background-color:#bbffbb"| 8 || April 12 || Athletics || 6–5 || Silva || Loaiza || Nathan || 22,603 || 3–5|- style="background-color:#bbffbb"| 9 || April 13 || Athletics || 8–2 || Lohse || Blanton || || 13,520 || 4–5|- style="background-color:#bbffbb"| 10 || April 14 || Yankees || 5–1 || Baker || Mussina || || 30,622 || 5–5|- style="background-color:#bbffbb"| 11 || April 15 || Yankees || 6–5 || Rincón || Rivera || || 42,316 || 6–5|- style="background-color:#ffbbbb"| 12 || April 16 || Yankees || 9–3 || Wang || Radke || || 22,627 || 6–6|- style="background-color:#ffbbbb"| 13 || April 18 || Angels || 8–2 || Escobar || Silva || Shields || 15,757 || 6–7|- style="background-color:#bbffbb"| 14 || April 19 || Angels || 12–10 || Nathan || Romero ||  || 21,507 || 7–7|- style="background-color:#ffbbbb"| 15 || April 20 || Angels || 6–4 || Gregg || Crain || Rodríguez || 12,990 || 7–8|- style="background-color:#ffbbbb"| 16 || April 21 || @ White Sox || 7–1 || Buehrle || Santana || || 31,287 || 7–9|- style="background-color:#ffbbbb"| 17 || April 22 || @ White Sox || 9–2 || García || Radke || || 38,955 || 7–10|- style="background-color:#ffbbbb"| 18 || April 23 || @ White Sox || 7–3 || Contreras || Silva || || 38,102 || 7–11|- style="background-color:#bbffbb"| 19 || April 25 || @ Royals || 2–1 || Liriano || Hudson || Nathan || 12,911 || 8–11|- style="background-color:#ffbbbb"| 20 || April 26 || @ Royals || 3–1 || Hernández || Baker || Burgos || 9,188 || 8–12|- style="background-color:#bbffbb"| 21 || April 27 || @ Royals || 7–3 || Santana || Redman || || 11,391 || 9–12|- style="background-color:#ffbbbb"| 22 || April 28 || @ Tigers || 9–0 || Robertson || Radke || || 23,263 || 9–13|- style="background-color:#ffbbbb"| 23 || April 29 || @ Tigers || 18–1 || Verlander || Silva || || 24,258 || 9–14|- style="background-color:#ffbbbb"| 24 || April 30 || @ Tigers || 6–0 || Rogers || Lohse || || 24,323 || 9–15|- style="background-color:#ffbbbb"| 25 || May 1 || Mariners || 8–2 || Piñeiro|| Baker|| || 11,796|| 9–16|- style="background-color:#bbffbb"| 26 || May 2 || Mariners || 5–1 || Santana|| Washburn|| || 14,513||10–16|- style="background-color:#bbffbb"| 27 || May 3 || Royals || 6–1 || Radke || Mays|| || 15,996||11–16|- style="background-color:#ffbbbb"| 28 || May 4 || Royals || 1–0 || Affeldt||Silva || Burgos|| 11,803|| 11–17|- style="background-color:#ffbbbb"| 29 || May 5 || Tigers || 9–6 ||Rogers ||Lohse ||Jones || 23,892 ||11–18|- style="background-color:#bbffbb"| 30 || May 6 || Tigers ||7–6 ||Rincón ||Jones || ||20,907 || 12–18|- style="background-color:#bbffbb"| 31 || May 7 || Tigers ||4–2 ||Santana ||Maroth ||Nathan ||20,548 || 13–18|- style="background-color:#ffbbbb"| 32 || May 8 || @ Rangers ||6–4 ||Koronka ||Radke ||Otsuka ||18,609 || 13–19|- style="background-color:#bbffbb"| 33 || May 9 || @ Rangers || 15–5|| Silva||Millwood || ||19,316 || 14–19|- style="background-color:#bbffbb"| 34 || May 10 || @ Rangers || 4–3 ||Loshe ||Padilla ||Nathan ||23,008 || 15–19|- style="background-color:#bbffbb"| 35 || May 12 || White Sox ||10–1 ||Santana ||Garland || ||30,473 ||16–19|- style="background-color:#bbffbb"| 36 || May 13 || White Sox ||8–4 || Radke||Vázquez || || 33,021||17–19|- style="background-color:#ffbbbb"| 37 || May 14 || White Sox ||9–7 ||Buehrle ||Silva ||Jenks ||21,796 ||17–20|- style="background-color:#ffbbbb"| 38 || May 15 || White Sox ||7–3 ||García ||Baker || ||19,413 ||17–21|- style="background-color:#ffbbbb"| 39 || May 16 || @ Tigers ||7–4 || Robertson|| Lohse ||Jones || 18,115|| 17–22|- style="background-color:#ffbbbb"| 40 || May 17 || @ Tigers ||2–0 ||Verlander ||Santana ||Jones ||16,669 || 17–23|- style="background-color:#ffbbbb"| 41 || May 18 || @ Tigers || 5–3||Rogers ||Radke || Jones || 26,732||17–24|- style="background-color:#bbffbb"| 42 || May 19 || @ Brewers ||7–1 ||Liriano ||Davis || || 28,462||18–24|- style="background-color:#bbffbb"| 43 || May 20 || @ Brewers ||16–10 ||Baker || Hendrickson|| ||43,422 ||19–24|- style="background-color:#ffbbbb"| 44 || May 21 || @ Brewers || 5–3||Capuano ||Crain ||Turnbow ||35,180 || 19–25|- style="background-color:#bbffbb"| 45 || May 23 || Indians ||6–5 ||Nathan ||Mota || ||19,334 ||20–25|- style="background-color:#ffbbbb"| 46 || May 24 || Indians || 11–0||Sabathia ||Radke || ||22,789 ||20–26|- style="background-color:#bbffbb"| 47 || May 26 || Mariners ||3–1 ||Liriano ||Hernández ||Nathan ||28,082 ||21–26|- style="background-color:#bbffbb"| 48 || May 27 ||Mariners||9–5 ||Bonser ||Moyer ||Rincón ||25,305 ||22–26|- style="background-color:#bbffbb"| 49 || May 28 || Matiners ||4–3 ||Nathan ||Guardado || ||24,388 ||23–26|- style="background-color:#ffbbbb"| 50 || May 29 || @ Angels||4–3 ||Shields ||Crain || ||40,007 ||23–27|- style="background-color:#ffbbbb"| 51 || May 30 || @ Angels || 6–3||Weaver ||Baker ||Rodríguez ||37,299 ||23–28|- style="background-color:#bbffbb"| 52 || May 31 || @ Angels || 7–1||Liriano ||Santana || ||40,001 ||24–28|- style="background-color:#ffbbbb"| 53 || June 1 || @ Athletics ||4–0 ||Zito ||Bonser || ||12,025 ||24–29|- style="background-color:#bbffbb"| 54 || June 2 || @ Athletics ||2–1 ||Santana ||Saarloos ||Nathan ||16,138 ||25–29|- style="background-color:#ffbbbb"| 55 || June 3 || @ Athletics ||2–1 ||Halsey ||Radke ||Street ||23,194 ||25–30|- style="background-color:#ffbbbb"| 56 || June 4 || @ Athletics ||5–1 ||Halsey ||Silva || ||25,247 ||25–31|- style="background-color:#ffbbbb"| 57 || June 6 || @ Mariners || 4–2||Hernández ||Liriano ||Putz ||21,028 ||25–32|- style="background-color:#ffbbbb"| 58 || June 7 || @ Mariners || 10–9||Mateo ||Crain || ||24,785 ||25–33|- style="background-color:#bbffbb"| 59 || June 8 || @ Mariners || 7–3||Santana ||Piñeiro || ||27,341 ||26–33|- style="background-color:#bbffbb"| 60 || June 9 || Orioles || 7–5||Nathan ||Chen || ||22,894 ||27–33|- style="background-color:#ffbbbb"| 61 || June 10 || Orioles || 9–7||Cabrera ||Silva || ||24,478 ||27–34|- style="background-color:#bbffbb"| 62 || June 11 || Orioles || 4–0||Liriano ||Bédard || ||25,438 ||28–34|- style="background-color:#bbffbb"| 63 || June 13 || Red Sox || 5–2||Reyes ||Tavárez || ||25,531 ||29–34|- style="background-color:#bbffbb"| 64 || June 14 || Red Sox || 8–1||Radke ||Clement || ||26,492 ||30–34|- style="background-color:#bbffbb"| 65 || June 15 || Red Sox || 5–3||Silva ||Wakefield ||Nathan ||21,191 ||31–34|- style="background-color:#bbffbb"| 66 || June 16 || @ Pirates || 4–2||Liriano ||Snell ||Nathan ||33,025 ||32–34|- style="background-color:#bbffbb"| 67 || June 17 || @ Pirates || 5–3||Crain ||Marte ||Nathan ||34,085 ||33–34|- style="background-color:#bbffbb"| 68 || June 18 || @ Pirates || 8–2||Santana ||Pérez || ||25,104 ||34–34|- style="background-color:#bbffbb"| 69 || June 20 || @ Astros || 6–5||Nathan ||Miller || ||32,713 ||35–34|- style="background-color:#ffbbbb"| 70 || June 21 || @ Astros || 5–3||Wheeler ||Lohse ||Lidge ||33,243 ||35–35|- style="background-color:#bbffbb"| 71 || June 22 || @ Astros || 4–2||Liriano ||Clemens ||Nathan ||43,769 ||36–35|- style="background-color:#bbffbb"| 72 || June 23 || Cubs || 7–2||Santana ||Mármol || ||34,361 ||37–35|- style="background-color:#bbffbb"| 73 || June 24 || Cubs || 3–0||Bonser ||Prior ||Nathan ||42,304 ||38–35|- style="background-color:#bbffbb"| 74 || June 25 || Cubs || 8–1||Radke ||Marshall || ||35,128 ||39–35|- style="background-color:#bbffbb"| 75 || June 26 || Dodgers || 8–2||Silva ||Billingsley || ||22,258 ||40–35|- style="background-color:#bbffbb"| 76 || June 27 || Dodgers || 9–2||Liriano ||Lowe || ||30,681 ||41–35|- style="background-color:#bbffbb"| 77 || June 28 || Dodgers || 6–3||Santana ||Pérez ||Nathan ||34,157 ||42–35|- style="background-color:#bbffbb"| 78 || June 30 || Brewers || 8–2||Radke ||Villanueva || ||28,412 ||43–35|- style="background-color:#bbffbb"| 79 || July 1 || Brewers || 10–7||Rincón ||Turnbow ||Nathan  ||35,056 ||44–35|- style="background-color:#bbffbb"| 80 || July 2 || Brewers || 8–0||Liriano ||Jackson || ||35,466 ||45–35|- style="background-color:#bbffbb"| 81 || July 3 || @ Royals || 6–5||Crain ||Sisco ||Nathan||28,401 ||46–35|- style="background-color:#ffbbbb"| 82 || July 4 || @ Royals || 7–2||Gobble ||Bonser ||Dessens ||23,996 ||46–36|- style="background-color:#ffbbbb"| 83 || July 5 || @ Royals || 6–3||Affeldt ||Crain ||Burgos ||12,085 ||46–37|- style="background-color:#ffbbbb"| 84 || July 7 || @ Rangers || 9–4||Wasdin ||Silva || ||30,207 ||46–38|- style="background-color:#bbffbb"| 85 || July 8 || @ Rangers || 4–0||Liriano ||Rheinecker || ||36,035 ||47–38|- style="background-color:#ffbbbb"| 86 || July 9 || @ Rangers || 5–2||Bauer ||Santana ||Otsuka ||23,268 ||47–39|- style="background-color:#ffbbbb"| 87 || July 13 || Indians || 6–4||Lee ||Liriano ||Wickman ||21,085 ||47–40|- style="background-color:#bbffbb"| 88 || July 14 || Indians || 3–2||Nathan ||Mujica || ||21,279 ||48–40|- style="background-color:#bbffbb"| 89 || July 15 || Indians || 6–2||Santana ||Sabathia || ||33,904 ||49–40|- style="background-color:#bbffbb"| 90 || July 16 || Indians || 5–2||Silva ||Sowers ||Nathan ||31,838 ||50–40|- style="background-color:#bbffbb"| 91 || July 17 || Devil Rays || 6–3||Baker ||Corcoran ||Nathan ||17,071 ||51–40|- style="background-color:#bbffbb"| 92 || July 18 || Devil Rays || 8–1||Liriano ||Kazmir || ||22,808 ||52–40|- style="background-color:#bbffbb"| 93 || July 19 || Devil Rays || 7–2||Radke ||Seo || ||25,866 ||53–40|- style="background-color:#bbffbb"| 94 || July 20 || Devil Rays || 6–4||Santana ||Shields ||Nathan ||25,104 ||54–40|- style="background-color:#bbffbb"| 95 || July 21 || @ Indians || 14–6||Reyes ||Sabathia || ||29,695 ||55–40|- style="background-color:#ffbbbb"| 96 || July 22 || @ Indians || 11–0||Sowers ||Baker || ||26,895 ||55–41|- style="background-color:#bbffbb"| 97 || July 23 || @ Indians || 3–1||Liriano ||Westbrook ||Nathan ||25,889 ||56–41|- style="background-color:#bbffbb"| 98 || July 24 || @ White Sox || 7–4||Radke ||Vázquez || ||39,750 ||57–41|- style="background-color:#bbffbb"| 99 || July 25 || @ White Sox || 4–3||Santana ||Contreras ||Nathan ||36,984 ||58–41|- style="background-color:#bbffbb"| 100 || July 26 || @ White Sox || 7–4||Silva ||Buehrle || Nathan ||39,387 ||59–41|- style="background-color:#ffbbbb"| 101|| July 28 || Tigers || 3–2||Rodney ||Rincon ||Jones ||45,478 ||59–42|- style="background-color:#ffbbbb"| 102|| July 29 || Tigers || 8–6||Robertson ||Radke ||Jones ||45,496 ||59–43|- style="background-color:#bbffbb"| 103|| July 30 || Tigers || 6–4||Neshek ||Bonderman ||Nathan ||43,204 ||60–43|- style="background-color:#bbffbb"| 104|| July 31 || Rangers || 15–2||Silva ||Rheinecker || ||19,532 ||61–43|- style="background-color:#ffbbbb"| 105 || August 1 || Rangers || 9–0||Eaton ||Baker || ||25,969 ||61–44|- style="background-color:#ffbbbb"| 106 || August 2 || Rangers || 10–2||Wells ||Bonser || ||26,492 ||61–45|- style="background-color:#bbffbb"| 107|| August 3 || @ Royals || 8–2||Radke ||de la Rosa || ||12,022 ||62–45|- style="background-color:#bbffbb"| 108|| August 4 || @ Royals || 8–5||Reyes ||Dohmann ||Nathan ||19,394 ||63–45|- style="background-color:#bbffbb"| 109|| August 5 || @ Royals || 14–3||Silva ||Hernández || ||25,131 ||64–45|- style="background-color:#bbffbb"| 110|| August 6 || @ Royals || 11–5||Reyes ||Wellemeyer || ||14,064 ||65–45|- style="background-color:#ffbbbb"| 111|| August 7 || @ Tigers || 9–3||Miner ||Liriano || ||34,870 ||65–46|- style="background-color:#bbffbb"| 112|| August 8 || @ Tigers || 4–2||Radke ||Robertson ||Nathan ||35,624 ||66–46|- style="background-color:#bbffbb"| 113|| August 9 || @ Tigers || 4–3||Santana ||Zumaya ||Nathan ||36,339 ||67–46|- style="background-color:#ffbbbb"| 114|| August 10 || Blue Jays || 5–0||Lilly ||Silva || ||30,118 ||67–47|- style="background-color:#ffbbbb"| 115|| August 11 || Blue Jays || 7–1||Burnett ||Garza || ||31,814 ||67–48|- style="background-color:#ffbbbb"| 116|| August 12 || Blue Jays || 4–0||Downs ||Bonser || ||36,261 ||67–49|- style="background-color:#bbffbb"| 117|| August 13 || Blue Jays || 5–0||Radke ||Marcum || ||32,811 ||68–49|- style="background-color:#bbffbb"| 118|| August 15 || Indians || 4–1||Santana ||Westbrook || ||34,854 ||69–49|- style="background-color:#bbffbb"| 119|| August 16 || Indians || 7–2||Neshek ||Carmona || ||42,328 ||70–49|- style="background-color:#ffbbbb"| 120|| August 17 || Indians || 3–2||Byrd ||Garza || ||27,664 ||70–50|- style="background-color:#bbffbb"| 121|| August 18 || White Sox || 7–3||Neshek ||García || ||43,204 ||71–50|- style="background-color:#ffbbbb"| 122|| August 19 || White Sox || 4–1||Garland ||Radke ||Jenks ||46,215 ||71–51|- style="background-color:#bbffbb"| 123|| August 20 || White Sox || 7–3||Santana ||Vázquez || ||42,537 ||72–51|- style="background-color:#ffbbbb"| 124|| August 22 || @ Orioles || 6–3||Loewen ||Silva ||Ray ||19,756 ||72–52|- style="background-color:#bbffbb"| 125|| August 23 || @ Orioles || 4–1||Garza ||López ||Nathan ||19,258 ||73–52|- style="background-color:#bbffbb"| 126|| August 24 || @ Orioles || 11–2||Bonser ||Benson || ||24,848 ||74–52|- style="background-color:#bbffbb"| 127|| August 25 || @ White Sox || 5–4||Crain ||MacDougal ||Nathan ||35,931 ||75–52|- style="background-color:#bbffbb"| 128|| August 26 || @ White Sox || 8–7||Eyre ||Thornton || ||38,636 ||76–52|- style="background-color:#ffbbbb"| 129|| August 27 || @ White Sox || 6–1||Buehrle ||Silva || ||35,193 ||76–53|- style="background-color:#ffbbbb"| 130|| August 29 || Royals || 2–0||Redman ||Garza || ||24,904 ||76–54|- style="background-color:#ffbbbb"| 131|| August 30 || Royals || 4–3||Hudson ||Bonser ||Nelson ||28,668 ||76–55|- style="background-color:#bbffbb"| 132|| August 31 || Royals || 3–1||Santana ||de la Rosa ||Nathan ||21,287 ||77–55|- style="background-color:#ffbbbb"| 133 || September 1 || @ Yankees || 8–1||Lidle ||Silva || ||54,311 ||77–56|- style="background-color:#bbffbb"| 134|| September 2 || @ Yankees || 6–1||Baker ||Karstens ||Crain ||53,220 ||78–56|- style="background-color:#ffbbbb"| 135|| September 3 || @ Yankees || 10–1||Rasner ||Garza || ||55,155 ||78–57|- style="background-color:#bbffbb"| 136|| September 4 || @ Devil Rays || 2–1||Bonser ||Corcoran ||Nathan ||15,910 ||79–57|- style="background-color:#bbffbb"| 137|| September 5 || @ Devil Rays || 8–0||Santana ||Seo || ||8,256 ||80–57|- style="background-color:#ffbbbb"| 138|| September 6 || @ Devil Rays || 4–2||Camp ||Neshek ||McClung ||8,492 ||80–58|- style="background-color:#ffbbbb"| 139|| September 7 || Tigers || 7–2||Verlander ||Baker || ||21,229 ||80–59|- style="background-color:#bbffbb"| 140|| September 8 || Tigers || 9–5||Neshek ||Ledezma || ||29,042 ||81–59|- style="background-color:#bbffbb"| 141|| September 9 || Tigers || 2–1||Bonser ||Robertson ||Nathan ||39,160 ||82–59|- style="background-color:#bbffbb"| 142|| September 10 || Tigers || 12–1||Santana ||Bonderman || ||40,158 ||83–59|- style="background-color:#bbffbb"| 143|| September 11 || Athletics || 9–4||Silva ||Blanton ||Nathan ||15,728 ||84–59|- style="background-color:#bbffbb"| 144 || September 12 || Athletics || 7–5||Reyes ||Kennedy ||Nathan ||20,991 ||85–59|- style="background-color:#ffbbbb"| 145|| September 13 || Athletics || 1–0||Haren ||Garza ||Street ||18,902 ||85–60|- style="background-color:#bbffbb"| 146|| September 14 || @ Indians || 9–4||Crain ||Davis || ||21,424 ||86–60|- style="background-color:#ffbbbb"| 147|| September 15 || @ Indians || 5–4||Cabrera ||Neshek || ||32,473 ||86–61|- style="background-color:#bbffbb"| 148|| September 16 || @ Indians || 4–1||Silva ||Sabathia ||Nathan ||26,757 ||87–61|- style="background-color:#bbffbb"| 149|| September 17 || @ Indians || 6–1||Baker ||Byrd || Guerrier ||20,324 ||88–61|- style="background-color:#bbffbb"| 150|| September 19 || @ Red Sox || 7–3||Garza ||Wakefield || ||36,242 ||89–61|- style="background-color:#bbffbb"| 151|| September 20 || @ Red Sox || 8–2||Bonser ||Hansen || ||36,484 ||90–61|- style="background-color:#ffbbbb"| 152|| September 21 || @ Red Sox || 6–0||Beckett ||Santana || ||36,434 ||90–62|- style="background-color:#ffbbbb"| 153|| September 22 || @ Orioles || 7–3||Cabrera ||Silva || ||21,051 ||90–63|- style="background-color:#bbffbb"| 154|| September 23 || @ Orioles || 8–5||Guerrier ||Bédard ||Nathan ||21,980 ||91–63|- style="background-color:#bbffbb"| 155|| September 24 || @ Orioles || 6–3||Garza ||Loewen ||Nathan ||23,005 ||92–63|- style="background-color:#bbffbb"| 156|| September 25 || Royals || 8–1||Bonser ||de la Rosa || ||18,108 ||93–63|- style="background-color:#bbffbb"| 157|| September 26 || Royals || 3–2||Santana ||Peralta ||Nathan ||24,819 ||94–63|- style="background-color:#ffbbbb"| 158|| September 27 || Royals || 6–4||Redman ||Silva ||Nelson ||28,540 ||94–64|- style="background-color:#bbffbb"| 159|| September 28 || Royals || 2–1||Nathan ||Dohmann || ||26,254 ||95–64|- style="background-color:#ffbbbb"| 160|| September 29 || White Sox || 4–3||Freddy García ||Bonser ||Jenks ||45,439 ||95–65|- style="background-color:#ffbbbb"| 161|| September 30 || White Sox || 6–3||Garland ||Garza || ||46,219 ||95–66|- style="background-color:#bbffbb"| 162|| October 1 || White Sox || 5–1||Silva ||Vázquez || ||45,182 ||96–66

text: |- style="background-color:#ffbbbb"| 1 || April 4 || @

text: Blue Jays

text: || 6–3 ||

text: Halladay

text: Santana

text: Ryan

text: || 50,449 || 0–1|- style="background-color:#bbffbb"| 2 || April 5 || @

text: Blue Jays

text: || 13–4 ||

text: Radke

text: Towers

text: || || 18,156 || 1–1|- style="background-color:#ffbbbb"| 3 || April 6 || @

text: Blue Jays

text: || 6–3 ||

text: Chacín

text: Silva

text: Ryan

text: || 16,221 || 1–2|- style="background-color:#ffbbbb"| 4 || April 7 || @

text: Indians

text: || 11–6 ||

text: Byrd

text: Lohse

text: || || 42,445 || 1–3|- style="background-color:#ffbbbb"| 5 || April 8 || @

text: Indians

text: || 3–0 ||

text: Johnson

text: Baker

text: Wickman

text: || 25,107 || 1–4|- style="background-color:#ffbbbb"| 6 || April 9 || @

text: Indians

text: || 3–2 ||

text: Westbrook

text: Santana

text: Wickman

text: || 23,311 || 1–5|- style="background-color:#bbffbb"| 7 || April 11 ||

text: Athletics

text: || 7–6 ||

text: Radke

text: Haren

text: Nathan

text: || 48,911 || 2–5|- style="background-color:#bbffbb"| 8 || April 12 ||

text: Athletics

text: || 6–5 ||

text: Silva

text: Loaiza

text: Nathan

text: || 22,603 || 3–5|- style="background-color:#bbffbb"| 9 || April 13 ||

text: Athletics

text: || 8–2 ||

text: Lohse

text: Blanton

text: || || 13,520 || 4–5|- style="background-color:#bbffbb"| 10 || April 14 ||

text: Yankees

text: || 5–1 ||

text: Baker

text: Mussina

text: || || 30,622 || 5–5|- style="background-color:#bbffbb"| 11 || April 15 ||

text: Yankees

text: || 6–5 ||

text: Rincón

text: Rivera

text: || || 42,316 || 6–5|- style="background-color:#ffbbbb"| 12 || April 16 ||

text: Yankees

text: || 9–3 ||

text: Wang

text: Radke

text: || || 22,627 || 6–6|- style="background-color:#ffbbbb"| 13 || April 18 ||

text: Angels

text: || 8–2 ||

text: Escobar

text: Silva

text: Shields

text: || 15,757 || 6–7|- style="background-color:#bbffbb"| 14 || April 19 ||

text: Angels

text: || 12–10 ||

text: Nathan

text: Romero

text: ||  || 21,507 || 7–7|- style="background-color:#ffbbbb"| 15 || April 20 ||

text: Angels

text: || 6–4 ||

text: Gregg

text: Crain

text: Rodríguez

text: || 12,990 || 7–8|- style="background-color:#ffbbbb"| 16 || April 21 || @

text: White Sox

text: || 7–1 ||

text: Buehrle

text: Santana

text: || || 31,287 || 7–9|- style="background-color:#ffbbbb"| 17 || April 22 || @

text: White Sox

text: || 9–2 ||

text: García

text: Radke

text: || || 38,955 || 7–10|- style="background-color:#ffbbbb"| 18 || April 23 || @

text: White Sox

text: || 7–3 ||

text: Contreras

text: Silva

text: || || 38,102 || 7–11|- style="background-color:#bbffbb"| 19 || April 25 || @

text: Royals

text: || 2–1 ||

text: Liriano

text: Hudson

text: Nathan

text: || 12,911 || 8–11|- style="background-color:#ffbbbb"| 20 || April 26 || @

text: Royals

text: || 3–1 ||

text: Hernández

text: Baker

text: Burgos

text: || 9,188 || 8–12|- style="background-color:#bbffbb"| 21 || April 27 || @

text: Royals

text: || 7–3 ||

text: Santana

text: Redman

text: || || 11,391 || 9–12|- style="background-color:#ffbbbb"| 22 || April 28 || @

text: Tigers

text: || 9–0 ||

text: Robertson

text: Radke

text: || || 23,263 || 9–13|- style="background-color:#ffbbbb"| 23 || April 29 || @

text: Tigers

text: || 18–1 ||

text: Verlander

text: Silva

text: || || 24,258 || 9–14|- style="background-color:#ffbbbb"| 24 || April 30 || @

text: Tigers

text: || 6–0 ||

text: Rogers

text: Lohse

text: || || 24,323 || 9–15|- style="background-color:#ffbbbb"| 25 || May 1 ||

text: Mariners

text: || 8–2 ||

text: Piñeiro

text: Baker

text: || || 11,796|| 9–16|- style="background-color:#bbffbb"| 26 || May 2 ||

text: Mariners

text: || 5–1 ||

text: Santana

text: Washburn

text: || || 14,513||10–16|- style="background-color:#bbffbb"| 27 || May 3 ||

text: Royals

text: || 6–1 ||

text: Radke

text: Mays

text: || || 15,996||11–16|- style="background-color:#ffbbbb"| 28 || May 4 ||

text: Royals

text: || 1–0 ||

text: Affeldt

text: Silva

text: Burgos

text: || 11,803|| 11–17|- style="background-color:#ffbbbb"| 29 || May 5 ||

text: Tigers

text: || 9–6 ||

text: Rogers

text: Lohse

text: Jones

text: || 23,892 ||11–18|- style="background-color:#bbffbb"| 30 || May 6 ||

text: Tigers

text: ||7–6 ||

text: Rincón

text: Jones

text: || ||20,907 || 12–18|- style="background-color:#bbffbb"| 31 || May 7 ||

text: Tigers

text: ||4–2 ||

text: Santana

text: Maroth

text: Nathan

text: ||20,548 || 13–18|- style="background-color:#ffbbbb"| 32 || May 8 || @

text: Rangers

text: ||6–4 ||

text: Koronka

text: Radke

text: Otsuka

text: ||18,609 || 13–19|- style="background-color:#bbffbb"| 33 || May 9 || @

text: Rangers

text: || 15–5||

text: Silva

text: Millwood

text: || ||19,316 || 14–19|- style="background-color:#bbffbb"| 34 || May 10 || @

text: Rangers

text: || 4–3 ||

text: Loshe

text: Padilla

text: Nathan

text: ||23,008 || 15–19|- style="background-color:#bbffbb"| 35 || May 12 ||

text: White Sox

text: ||10–1 ||

text: Santana

text: Garland

text: || ||30,473 ||16–19|- style="background-color:#bbffbb"| 36 || May 13 ||

text: White Sox

text: ||8–4 ||

text: Radke

text: Vázquez

text: || || 33,021||17–19|- style="background-color:#ffbbbb"| 37 || May 14 ||

text: White Sox

text: ||9–7 ||

text: Buehrle

text: Silva

text: Jenks

text: ||21,796 ||17–20|- style="background-color:#ffbbbb"| 38 || May 15 ||

text: White Sox

text: ||7–3 ||

text: García

text: Baker

text: || ||19,413 ||17–21|- style="background-color:#ffbbbb"| 39 || May 16 || @

text: Tigers

text: ||7–4 ||

text: Robertson

text: Lohse

text: Jones

text: || 18,115|| 17–22|- style="background-color:#ffbbbb"| 40 || May 17 || @

text: Tigers

text: ||2–0 ||

text: Verlander

text: Santana

text: Jones

text: ||16,669 || 17–23|- style="background-color:#ffbbbb"| 41 || May 18 || @

text: Tigers

text: || 5–3||

text: Rogers

text: Radke

text: Jones

text: || 26,732||17–24|- style="background-color:#bbffbb"| 42 || May 19 || @

text: Brewers

text: ||7–1 ||

text: Liriano

text: Davis

text: || || 28,462||18–24|- style="background-color:#bbffbb"| 43 || May 20 || @

text: Brewers

text: ||16–10 ||

text: Baker

text: Hendrickson

text: || ||43,422 ||19–24|- style="background-color:#ffbbbb"| 44 || May 21 || @

text: Brewers

text: || 5–3||

text: Capuano

text: Crain

text: Turnbow

text: ||35,180 || 19–25|- style="background-color:#bbffbb"| 45 || May 23 ||

text: Indians

text: ||6–5 ||

text: Nathan

text: Mota

text: || ||19,334 ||20–25|- style="background-color:#ffbbbb"| 46 || May 24 ||

text: Indians

text: || 11–0||

text: Sabathia

text: Radke

text: || ||22,789 ||20–26|- style="background-color:#bbffbb"| 47 || May 26 ||

text: Mariners

text: ||3–1 ||

text: Liriano

text: Hernández

text: Nathan

text: ||28,082 ||21–26|- style="background-color:#bbffbb"| 48 || May 27 ||

text: Mariners

text: ||9–5 ||

text: Bonser

text: Moyer

text: Rincón

text: ||25,305 ||22–26|- style="background-color:#bbffbb"| 49 || May 28 ||

text: Matiners

text: ||4–3 ||

text: Nathan

text: Guardado

text: || ||24,388 ||23–26|- style="background-color:#ffbbbb"| 50 || May 29 || @

text: Angels

text: ||4–3 ||

text: Shields

text: Crain

text: || ||40,007 ||23–27|- style="background-color:#ffbbbb"| 51 || May 30 || @

text: Angels

text: || 6–3||

text: Weaver

text: Baker

text: Rodríguez

text: ||37,299 ||23–28|- style="background-color:#bbffbb"| 52 || May 31 || @

text: Angels

text: || 7–1||

text: Liriano

text: Santana

text: || ||40,001 ||24–28|- style="background-color:#ffbbbb"| 53 || June 1 || @

text: Athletics

text: ||4–0 ||

text: Zito

text: Bonser

text: || ||12,025 ||24–29|- style="background-color:#bbffbb"| 54 || June 2 || @

text: Athletics

text: ||2–1 ||

text: Santana

text: Saarloos

text: Nathan

text: ||16,138 ||25–29|- style="background-color:#ffbbbb"| 55 || June 3 || @

text: Athletics

text: ||2–1 ||

text: Halsey

text: Radke

text: Street

text: ||23,194 ||25–30|- style="background-color:#ffbbbb"| 56 || June 4 || @

text: Athletics

text: ||5–1 ||

text: Halsey

text: Silva

text: || ||25,247 ||25–31|- style="background-color:#ffbbbb"| 57 || June 6 || @

text: Mariners

text: || 4–2||

text: Hernández

text: Liriano

text: Putz

text: ||21,028 ||25–32|- style="background-color:#ffbbbb"| 58 || June 7 || @

text: Mariners

text: || 10–9||

text: Mateo

text: Crain

text: || ||24,785 ||25–33|- style="background-color:#bbffbb"| 59 || June 8 || @

text: Mariners

text: || 7–3||

text: Santana

text: Piñeiro

text: || ||27,341 ||26–33|- style="background-color:#bbffbb"| 60 || June 9 ||

text: Orioles

text: || 7–5||

text: Nathan

text: Chen

text: || ||22,894 ||27–33|- style="background-color:#ffbbbb"| 61 || June 10 ||

text: Orioles

text: || 9–7||

text: Cabrera

text: Silva

text: || ||24,478 ||27–34|- style="background-color:#bbffbb"| 62 || June 11 ||

text: Orioles

text: || 4–0||

text: Liriano

text: Bédard

text: || ||25,438 ||28–34|- style="background-color:#bbffbb"| 63 || June 13 ||

text: Red Sox

text: || 5–2||

text: Reyes

text: Tavárez

text: || ||25,531 ||29–34|- style="background-color:#bbffbb"| 64 || June 14 ||

text: Red Sox

text: || 8–1||

text: Radke

text: Clement

text: || ||26,492 ||30–34|- style="background-color:#bbffbb"| 65 || June 15 ||

text: Red Sox

text: || 5–3||

text: Silva

text: Wakefield

text: Nathan

text: ||21,191 ||31–34|- style="background-color:#bbffbb"| 66 || June 16 || @

text: Pirates

text: || 4–2||

text: Liriano

text: Snell

text: Nathan

text: ||33,025 ||32–34|- style="background-color:#bbffbb"| 67 || June 17 || @

text: Pirates

text: || 5–3||

text: Crain

text: Marte

text: Nathan

text: ||34,085 ||33–34|- style="background-color:#bbffbb"| 68 || June 18 || @

text: Pirates

text: || 8–2||

text: Santana

text: Pérez

text: || ||25,104 ||34–34|- style="background-color:#bbffbb"| 69 || June 20 || @

text: Astros

text: || 6–5||

text: Nathan

text: Miller

text: || ||32,713 ||35–34|- style="background-color:#ffbbbb"| 70 || June 21 || @

text: Astros

text: || 5–3||

text: Wheeler

text: Lohse

text: Lidge

text: ||33,243 ||35–35|- style="background-color:#bbffbb"| 71 || June 22 || @

text: Astros

text: || 4–2||

text: Liriano

text: Clemens

text: Nathan

text: ||43,769 ||36–35|- style="background-color:#bbffbb"| 72 || June 23 ||

text: Cubs

text: || 7–2||

text: Santana

text: Mármol

text: || ||34,361 ||37–35|- style="background-color:#bbffbb"| 73 || June 24 ||

text: Cubs

text: || 3–0||

text: Bonser

text: Prior

text: Nathan

text: ||42,304 ||38–35|- style="background-color:#bbffbb"| 74 || June 25 ||

text: Cubs

text: || 8–1||

text: Radke

text: Marshall

text: || ||35,128 ||39–35|- style="background-color:#bbffbb"| 75 || June 26 ||

text: Dodgers

text: || 8–2||

text: Silva

text: Billingsley

text: || ||22,258 ||40–35|- style="background-color:#bbffbb"| 76 || June 27 ||

text: Dodgers

text: || 9–2||

text: Liriano

text: Lowe

text: || ||30,681 ||41–35|- style="background-color:#bbffbb"| 77 || June 28 ||

text: Dodgers

text: || 6–3||

text: Santana

text: Pérez

text: Nathan

text: ||34,157 ||42–35|- style="background-color:#bbffbb"| 78 || June 30 ||

text: Brewers

text: || 8–2||

text: Radke

text: Villanueva

text: || ||28,412 ||43–35|- style="background-color:#bbffbb"| 79 || July 1 ||

text: Brewers

text: || 10–7||

text: Rincón

text: Turnbow

text: Nathan

text: ||35,056 ||44–35|- style="background-color:#bbffbb"| 80 || July 2 ||

text: Brewers

text: || 8–0||

text: Liriano

text: Jackson

text: || ||35,466 ||45–35|- style="background-color:#bbffbb"| 81 || July 3 || @

text: Royals

text: || 6–5||

text: Crain

text: Sisco

text: Nathan

text: ||28,401 ||46–35|- style="background-color:#ffbbbb"| 82 || July 4 || @

text: Royals

text: || 7–2||

text: Gobble

text: Bonser

text: Dessens

text: ||23,996 ||46–36|- style="background-color:#ffbbbb"| 83 || July 5 || @

text: Royals

text: || 6–3||

text: Affeldt

text: Crain

text: Burgos

text: ||12,085 ||46–37|- style="background-color:#ffbbbb"| 84 || July 7 || @

text: Rangers

text: || 9–4||

text: Wasdin

text: Silva

text: || ||30,207 ||46–38|- style="background-color:#bbffbb"| 85 || July 8 || @

text: Rangers

text: || 4–0||

text: Liriano

text: Rheinecker

text: || ||36,035 ||47–38|- style="background-color:#ffbbbb"| 86 || July 9 || @

text: Rangers

text: || 5–2||

text: Bauer

text: Santana

text: Otsuka

text: ||23,268 ||47–39|- style="background-color:#ffbbbb"| 87 || July 13 ||

text: Indians

text: || 6–4||

text: Lee

text: Liriano

text: Wickman

text: ||21,085 ||47–40|- style="background-color:#bbffbb"| 88 || July 14 ||

text: Indians

text: || 3–2||

text: Nathan

text: Mujica

text: || ||21,279 ||48–40|- style="background-color:#bbffbb"| 89 || July 15 ||

text: Indians

text: || 6–2||

text: Santana

text: Sabathia

text: || ||33,904 ||49–40|- style="background-color:#bbffbb"| 90 || July 16 ||

text: Indians

text: || 5–2||

text: Silva

text: Sowers

text: Nathan

text: ||31,838 ||50–40|- style="background-color:#bbffbb"| 91 || July 17 ||

text: Devil Rays

text: || 6–3||

text: Baker

text: Corcoran

text: Nathan

text: ||17,071 ||51–40|- style="background-color:#bbffbb"| 92 || July 18 ||

text: Devil Rays

text: || 8–1||

text: Liriano

text: Kazmir

text: || ||22,808 ||52–40|- style="background-color:#bbffbb"| 93 || July 19 ||

text: Devil Rays

text: || 7–2||

text: Radke

text: Seo

text: || ||25,866 ||53–40|- style="background-color:#bbffbb"| 94 || July 20 ||

text: Devil Rays

text: || 6–4||

text: Santana

text: Shields

text: Nathan

text: ||25,104 ||54–40|- style="background-color:#bbffbb"| 95 || July 21 || @

text: Indians

text: || 14–6||

text: Reyes

text: Sabathia

text: || ||29,695 ||55–40|- style="background-color:#ffbbbb"| 96 || July 22 || @

text: Indians

text: || 11–0||

text: Sowers

text: Baker

text: || ||26,895 ||55–41|- style="background-color:#bbffbb"| 97 || July 23 || @

text: Indians

text: || 3–1||

text: Liriano

text: Westbrook

text: Nathan

text: ||25,889 ||56–41|- style="background-color:#bbffbb"| 98 || July 24 || @

text: White Sox

text: || 7–4||

text: Radke

text: Vázquez

text: || ||39,750 ||57–41|- style="background-color:#bbffbb"| 99 || July 25 || @

text: White Sox

text: || 4–3||

text: Santana

text: Contreras

text: Nathan

text: ||36,984 ||58–41|- style="background-color:#bbffbb"| 100 || July 26 || @

text: White Sox

text: || 7–4||

text: Silva

text: Buehrle

text: Nathan

text: ||39,387 ||59–41|- style="background-color:#ffbbbb"| 101|| July 28 ||

text: Tigers

text: || 3–2||

text: Rodney

text: Rincon

text: Jones

text: ||45,478 ||59–42|- style="background-color:#ffbbbb"| 102|| July 29 ||

text: Tigers

text: || 8–6||

text: Robertson

text: Radke

text: Jones

text: ||45,496 ||59–43|- style="background-color:#bbffbb"| 103|| July 30 ||

text: Tigers

text: || 6–4||

text: Neshek

text: Bonderman

text: Nathan

text: ||43,204 ||60–43|- style="background-color:#bbffbb"| 104|| July 31 ||

text: Rangers

text: || 15–2||

text: Silva

text: Rheinecker

text: || ||19,532 ||61–43|- style="background-color:#ffbbbb"| 105 || August 1 ||

text: Rangers

text: || 9–0||

text: Eaton

text: Baker

text: || ||25,969 ||61–44|- style="background-color:#ffbbbb"| 106 || August 2 ||

text: Rangers

text: || 10–2||

text: Wells

text: Bonser

text: || ||26,492 ||61–45|- style="background-color:#bbffbb"| 107|| August 3 || @

text: Royals

text: || 8–2||

text: Radke

text: de la Rosa

text: || ||12,022 ||62–45|- style="background-color:#bbffbb"| 108|| August 4 || @

text: Royals

text: || 8–5||

text: Reyes

text: Dohmann

text: Nathan

text: ||19,394 ||63–45|- style="background-color:#bbffbb"| 109|| August 5 || @

text: Royals

text: || 14–3||

text: Silva

text: Hernández

text: || ||25,131 ||64–45|- style="background-color:#bbffbb"| 110|| August 6 || @

text: Royals

text: || 11–5||

text: Reyes

text: Wellemeyer

text: || ||14,064 ||65–45|- style="background-color:#ffbbbb"| 111|| August 7 || @

text: Tigers

text: || 9–3||

text: Miner

text: Liriano

text: || ||34,870 ||65–46|- style="background-color:#bbffbb"| 112|| August 8 || @

text: Tigers

text: || 4–2||

text: Radke

text: Robertson

text: Nathan

text: ||35,624 ||66–46|- style="background-color:#bbffbb"| 113|| August 9 || @

text: Tigers

text: || 4–3||

text: Santana

text: Zumaya

text: Nathan

text: ||36,339 ||67–46|- style="background-color:#ffbbbb"| 114|| August 10 ||

text: Blue Jays

text: || 5–0||

text: Lilly

text: Silva

text: || ||30,118 ||67–47|- style="background-color:#ffbbbb"| 115|| August 11 ||

text: Blue Jays

text: || 7–1||

text: Burnett

text: Garza

text: || ||31,814 ||67–48|- style="background-color:#ffbbbb"| 116|| August 12 ||

text: Blue Jays

text: || 4–0||

text: Downs

text: Bonser

text: || ||36,261 ||67–49|- style="background-color:#bbffbb"| 117|| August 13 ||

text: Blue Jays

text: || 5–0||

text: Radke

text: Marcum

text: || ||32,811 ||68–49|- style="background-color:#bbffbb"| 118|| August 15 ||

text: Indians

text: || 4–1||

text: Santana

text: Westbrook

text: || ||34,854 ||69–49|- style="background-color:#bbffbb"| 119|| August 16 ||

text: Indians

text: || 7–2||

text: Neshek

text: Carmona

text: || ||42,328 ||70–49|- style="background-color:#ffbbbb"| 120|| August 17 ||

text: Indians

text: || 3–2||

text: Byrd

text: Garza

text: || ||27,664 ||70–50|- style="background-color:#bbffbb"| 121|| August 18 ||

text: White Sox

text: || 7–3||

text: Neshek

text: García

text: || ||43,204 ||71–50|- style="background-color:#ffbbbb"| 122|| August 19 ||

text: White Sox

text: || 4–1||

text: Garland

text: Radke

text: Jenks

text: ||46,215 ||71–51|- style="background-color:#bbffbb"| 123|| August 20 ||

text: White Sox

text: || 7–3||

text: Santana

text: Vázquez

text: || ||42,537 ||72–51|- style="background-color:#ffbbbb"| 124|| August 22 || @

text: Orioles

text: || 6–3||

text: Loewen

text: Silva

text: Ray

text: ||19,756 ||72–52|- style="background-color:#bbffbb"| 125|| August 23 || @

text: Orioles

text: || 4–1||

text: Garza

text: López

text: Nathan

text: ||19,258 ||73–52|- style="background-color:#bbffbb"| 126|| August 24 || @

text: Orioles

text: || 11–2||

text: Bonser

text: Benson

text: || ||24,848 ||74–52|- style="background-color:#bbffbb"| 127|| August 25 || @

text: White Sox

text: || 5–4||

text: Crain

text: MacDougal

text: Nathan

text: ||35,931 ||75–52|- style="background-color:#bbffbb"| 128|| August 26 || @

text: White Sox

text: || 8–7||

text: Eyre

text: Thornton

text: || ||38,636 ||76–52|- style="background-color:#ffbbbb"| 129|| August 27 || @

text: White Sox

text: || 6–1||

text: Buehrle

text: Silva

text: || ||35,193 ||76–53|- style="background-color:#ffbbbb"| 130|| August 29 ||

text: Royals

text: || 2–0||

text: Redman

text: Garza

text: || ||24,904 ||76–54|- style="background-color:#ffbbbb"| 131|| August 30 ||

text: Royals

text: || 4–3||

text: Hudson

text: Bonser

text: Nelson

text: ||28,668 ||76–55|- style="background-color:#bbffbb"| 132|| August 31 ||

text: Royals

text: || 3–1||

text: Santana

text: de la Rosa

text: Nathan

text: ||21,287 ||77–55|- style="background-color:#ffbbbb"| 133 || September 1 || @

text: Yankees

text: || 8–1||

text: Lidle

text: Silva

text: || ||54,311 ||77–56|- style="background-color:#bbffbb"| 134|| September 2 || @

text: Yankees

text: || 6–1||

text: Baker

text: Karstens

text: Crain

text: ||53,220 ||78–56|- style="background-color:#ffbbbb"| 135|| September 3 || @

text: Yankees

text: || 10–1||

text: Rasner

text: Garza

text: || ||55,155 ||78–57|- style="background-color:#bbffbb"| 136|| September 4 || @

text: Devil Rays

text: || 2–1||

text: Bonser

text: Corcoran

text: Nathan

text: ||15,910 ||79–57|- style="background-color:#bbffbb"| 137|| September 5 || @

text: Devil Rays

text: || 8–0||

text: Santana

text: Seo

text: || ||8,256 ||80–57|- style="background-color:#ffbbbb"| 138|| September 6 || @

text: Devil Rays

text: || 4–2||

text: Camp

text: Neshek

text: McClung

text: ||8,492 ||80–58|- style="background-color:#ffbbbb"| 139|| September 7 ||

text: Tigers

text: || 7–2||

text: Verlander

text: Baker

text: || ||21,229 ||80–59|- style="background-color:#bbffbb"| 140|| September 8 ||

text: Tigers

text: || 9–5||

text: Neshek

text: Ledezma

text: || ||29,042 ||81–59|- style="background-color:#bbffbb"| 141|| September 9 ||

text: Tigers

text: || 2–1||

text: Bonser

text: Robertson

text: Nathan

text: ||39,160 ||82–59|- style="background-color:#bbffbb"| 142|| September 10 ||

text: Tigers

text: || 12–1||

text: Santana

text: Bonderman

text: || ||40,158 ||83–59|- style="background-color:#bbffbb"| 143|| September 11 ||

text: Athletics

text: || 9–4||

text: Silva

text: Blanton

text: Nathan

text: ||15,728 ||84–59|- style="background-color:#bbffbb"| 144 || September 12 ||

text: Athletics

text: || 7–5||

text: Reyes

text: Kennedy

text: Nathan

text: ||20,991 ||85–59|- style="background-color:#ffbbbb"| 145|| September 13 ||

text: Athletics

text: || 1–0||

text: Haren

text: Garza

text: Street

text: ||18,902 ||85–60|- style="background-color:#bbffbb"| 146|| September 14 || @

text: Indians

text: || 9–4||

text: Crain

text: Davis

text: || ||21,424 ||86–60|- style="background-color:#ffbbbb"| 147|| September 15 || @

text: Indians

text: || 5–4||

text: Cabrera

text: Neshek

text: || ||32,473 ||86–61|- style="background-color:#bbffbb"| 148|| September 16 || @

text: Indians

text: || 4–1||

text: Silva

text: Sabathia

text: Nathan

text: ||26,757 ||87–61|- style="background-color:#bbffbb"| 149|| September 17 || @

text: Indians

text: || 6–1||

text: Baker

text: Byrd

text: Guerrier

text: ||20,324 ||88–61|- style="background-color:#bbffbb"| 150|| September 19 || @

text: Red Sox

text: || 7–3||

text: Garza

text: Wakefield

text: || ||36,242 ||89–61|- style="background-color:#bbffbb"| 151|| September 20 || @

text: Red Sox

text: || 8–2||

text: Bonser

text: Hansen

text: || ||36,484 ||90–61|- style="background-color:#ffbbbb"| 152|| September 21 || @

text: Red Sox

text: || 6–0||

text: Beckett

text: Santana

text: || ||36,434 ||90–62|- style="background-color:#ffbbbb"| 153|| September 22 || @

text: Orioles

text: || 7–3||

text: Cabrera

text: Silva

text: || ||21,051 ||90–63|- style="background-color:#bbffbb"| 154|| September 23 || @

text: Orioles

text: || 8–5||

text: Guerrier

text: Bédard

text: Nathan

text: ||21,980 ||91–63|- style="background-color:#bbffbb"| 155|| September 24 || @

text: Orioles

text: || 6–3||

text: Garza

text: Loewen

text: Nathan

text: ||23,005 ||92–63|- style="background-color:#bbffbb"| 156|| September 25 ||

text: Royals

text: || 8–1||

text: Bonser

text: de la Rosa

text: || ||18,108 ||93–63|- style="background-color:#bbffbb"| 157|| September 26 ||

text: Royals

text: || 3–2||

text: Santana

text: Peralta

text: Nathan

text: ||24,819 ||94–63|- style="background-color:#ffbbbb"| 158|| September 27 ||

text: Royals

text: || 6–4||

text: Redman

text: Silva

text: Nelson

text: ||28,540 ||94–64|- style="background-color:#bbffbb"| 159|| September 28 ||

text: Royals

text: || 2–1||

text: Nathan

text: Dohmann

text: || ||26,254 ||95–64|- style="background-color:#ffbbbb"| 160|| September 29 ||

text: White Sox

text: || 4–3||

text: Freddy García

text: Bonser

text: Jenks

text: ||45,439 ||95–65|- style="background-color:#ffbbbb"| 161|| September 30 ||

text: White Sox

text: || 6–3||

text: Garland

text: Garza

text: || ||46,219 ||95–66|- style="background-color:#bbffbb"| 162|| October 1 ||

text: White Sox

text: || 5–1||

text: Silva

text: Vázquez

text: || ||45,182 ||96–66

text: Spirit DataCines use a charge-coupled device Line Array - CCD for imaging. In print mode a “white” light is shone through the exposed film image into a lens and then to prism, color glass separates out the image into the three primary colors, red, green and blue. Each beam of colored light is then projected at a different CCD, one for each color. The CCD converts the light into an electrical signal that produces a modulated video signal which is color corrected and sized so it can then be recorded onto video tape or a Storage area network-SAN hard disk array. Spirit DataCines can output to different TV standards: (NTSC or PAL) or HDTV. The Spatial Processor can change the size of the image: pan and scan, letterbox or make other aspect ratio and rotation changes, also product interlaced video if needed. The Spatial Processor also produces the 2:3 pulldown, if needed for the format. An optional Scream grain reducer can reduce film grain in all three color channels.

text: Spirit DataCines use a

text: charge-coupled device

text: Line Array - CCD for imaging. In print mode a “white” light is shone through the exposed film image into a lens and then to prism, color glass separates out the image into the three primary colors, red, green and blue. Each beam of colored light is then projected at a different CCD, one for each color. The CCD converts the light into an electrical signal that produces a

text: modulated

text: video

text: signal which is

text: color corrected

text: and

text: sized

text: so it can then be recorded onto

text: video tape

text: or a

text: Storage area network

text: -SAN

text: hard disk

text: array. Spirit DataCines can output to different

text: TV

text: standards: (NTSC or PAL) or

text: HDTV

text: . The Spatial Processor can change the size of the image:

text: pan and scan

text: letterbox

text: or make other

text: aspect ratio

text: and

text: rotation

text: changes, also product

text: interlaced video

text: if needed. The Spatial Processor also produces the

text: 2:3 pulldown

text: , if needed for the format. An optional Scream

text: grain reducer

text: can reduce film grain in all three color channels.

text: In the visual arts, color theory or colour theory is a body of practical guidance to color mixing and the visual effects of a specific color combination. There are also definitions (or categories) of colors based on the color wheel: primary color, secondary color and tertiary color. Although color theory principles first appeared in the writings of Leone Battista Alberti (c.1435) and the notebooks of Leonardo da Vinci (c.1490), a tradition of "colory theory" began in the 18th century, initially within a partisan controversy around Isaac Newton's theory of color (Opticks, 1704) and the nature of primary colors. From there it developed as an independent artistic tradition with only superficial reference to colorimetry and vision science.

text: In the

text: visual arts

text: , color theory or colour theory is a body of practical guidance to

text: color

text: mixing and the visual effects of a specific color combination. There are also definitions (or categories) of colors based on the

text: color wheel

text: primary color

text: secondary color

text: and

text: tertiary color

text: . Although color theory principles first appeared in the writings of

text: Leone Battista Alberti

text: (c.1435) and the notebooks of

text: Leonardo da Vinci

text: (c.1490), a tradition of "colory theory" began in the 18th century, initially within a partisan controversy around

text: Isaac Newton

text: 's theory of color (Opticks, 1704) and the nature of

text: primary color

text: s. From there it developed as an independent artistic tradition with only superficial reference to

text: colorimetry

text: and

text: vision science

text: There has been interest in tristimulus reporting in the brewing community in recent years and the ASBC has an approved Method of Analysis [MOA] for tristimulus characterization. The absorption of the sample is measured in 1 cm at 81 wavelengths separated by 5 nm starting at 380 nm and extending to 780 nm. These are converted to transmission values (by taking the antilogarithm of each absorption) and inserting the results into ASTM E-308. The reported tristimulus values are in Lab color space and describe what is seen under Illuminant C (daylight) by a 10° observer when the path is 1 cm. The choice of path, illuminant, observer and color space does not represent a limitation of E-308 but rather the ASBC's need to standardize reporting.

text: There has been interest in tristimulus reporting in the brewing community in recent years and the ASBC has an approved Method of Analysis [MOA] for tristimulus characterization. The absorption of the sample is measured in 1 cm at 81 wavelengths separated by 5 nm starting at 380 nm and extending to 780 nm. These are converted to transmission values (by taking the

text: antilogarithm

text: of each absorption) and inserting the results into ASTM E-308. The reported tristimulus values are in

text: Lab

text: color space and describe what is seen under

text: Illuminant

text: C (daylight) by a

text: 10° observer

text: when the

text: path

text: is 1 cm. The choice of path, illuminant, observer and color space does not represent a limitation of E-308 but rather the ASBC's need to standardize reporting.

text: See the chart Color names that clash between X11 and HTML/CSS in the X11 color names article to see those colors which are different in HTML/CSS and X11.

text: See the chart

text: The source of this color is the ISCC-NBS Dictionary of Color Names (1955), a color dictionary used by stamp collectors to identify the colors of stamps, now on the Internet—see sample of the color Persian blue (color sample #178) displayed on indicated web page: .

text: Objects are also given a color based on the hash value of their id. There is no correlation between the color of a node and the color of the objects it stores. Moreover, a single object may also be stored in multiple nodes. Hence, in order to enable object lookup, i.e. to find the nearest node having a copy of the object, all the nodes in Tulip maintain object pointers. If a node

text: Pastel is an art medium in the form of a stick, consisting of pure powdered pigment and a binder. The pigments used in pastels are the same as those used to produce all colored art media, including oil paints; the binder is of a neutral hue and low saturation. The color effect of pastels is closer to the natural dry pigments than that of any other process.

text: Pastel is an

text: art medium

text: in the form of a stick, consisting of pure powdered

text: pigment

text: and a binder. The pigments used in pastels are the same as those used to produce all colored art media, including oil paints; the binder is of a neutral hue and low

text: saturation

text: . The color effect of pastels is closer to the natural dry pigments than that of any other process.

text: A chimerical color is an imaginary color that can be seen temporarily by looking steadily at a strong color for a while until some of the cone cells become fatigued, temporarily changing their color sensitivities, and then looking at a markedly different color. They are explained by the opponent process color theory. For example, staring at a saturated primary-color field then looking at a white object results in an opposing shift in hue, causing an afterimage of the complementary colors. Exploration of the color space outside the range of "real colors" by this means is major corroborating evidence for the opponent process theory of color vision. Chimerical colors can be seen while seeing with one eye or with both eyes, and are not observed to reproduce simultaneously qualities of opposing colors (e.g. "yellowish blue"). Chimerical colors include:

text: A chimerical color is an imaginary color that can be seen temporarily by looking steadily at a strong color for a while until some of the cone cells become fatigued, temporarily changing their color sensitivities, and then looking at a markedly different color. They are explained by the

text: opponent process

text: color theory. For example, staring at a saturated primary-color field then looking at a white object results in an opposing shift in hue, causing an

text: afterimage

text: of the

text: complementary colors

text: . Exploration of the color space outside the range of "real colors" by this means is major corroborating evidence for the opponent process theory of color vision. Chimerical colors can be seen while seeing with one eye or with both eyes, and are not observed to reproduce simultaneously qualities of opposing colors (e.g. "yellowish blue"). Chimerical colors include:

text: This color was introduced by Crayola in 1949.  See the List of Crayola crayon colors.

text: This color was introduced by Crayola in 1949.  See the

text: List of Crayola crayon colors

text: Psychedelic art made people used to brighter colors of red, and pigment colors or colored pencils called "true red" are produced by mixing pigment red with a tiny amount of white.  The result approximates (with much less brightness that is possible on a computer screen) the electric red shown above.

text: Psychedelic art

text: made people used to brighter colors of red, and

text: pigment

text: colors or colored

text: pencil

text: s called "true red" are produced by mixing pigment red with a tiny amount of

text: white

text: .  The result approximates (with much less brightness that is possible on a computer screen) the electric red shown above.

text: In an anaglyph, the two images are superimposed in an additive light setting through two filters, one red and one cyan.  In a subtractive light setting, the two images are printed in the same complementary colors on white paper.  Glasses with colored filters in each eye separate the appropriate images by canceling the filter color out and rendering the complementary color black.

text: In an anaglyph, the two images are

text: superimposed

text: in an

text: additive light

text: subtractive light

text: complementary color

text: s on white paper.  Glasses with colored filters in each eye separate the appropriate images by canceling the filter color out and rendering the complementary color black.

text: For the human eye, the best primary colors of light are red, green, and blue.  Combining the wavelengths of light we see as these colors produces the greatest range of visible color.

text: For the human eye, the best primary colors of light are

text: red

text: green

text: , and

text: blue

text: .  Combining the wavelengths of light we see as these colors produces the greatest range of visible color.

text: Color (American English) or colour (Commonwealth English) is the characteristic of human visual perception described through color categories, with names such as red, yellow, purple, or bronze.  This perception of color derives from the stimulation of cone cells in the human eye by electromagnetic radiation in the spectrum of light. Color categories and physical specifications of color are associated with objects through the wavelength of the light that is reflected from them. This reflection is governed by the object's physical properties such as light absorption, emission spectra, etc.   Human trichromacy is the basis for all modern color spaces that assign colors numerical coordinates and associate corresponding distances between colors.

text: Color (

text: American English

text: ) or colour (

text: Commonwealth English

text: ) is the characteristic of

text: human

text: visual perception

text: described through color categories, with names such as

text: red

text: yellow

text: purple

text: , or

text: bronze

text: .  This perception of color derives from the stimulation of

text: cone cell

text: s in the human eye by

text: electromagnetic radiation

text: in the

text: spectrum of light

text: . Color categories and physical specifications of color are associated with objects through the wavelength of the light that is reflected from them. This reflection is governed by the object's physical properties such as light absorption, emission spectra, etc.   Human

text: trichromacy

text: is the basis for all modern

text: color space

text: s that assign colors numerical coordinates and associate corresponding distances between colors.

text: In 1950 Kodak announced the first Eastman color 35 mm negative film (along with a complementary positive film) that could record all three primary colors on the same strip of film. An improved version in 1952 was quickly adopted by Hollywood, making the use of three-strip Technicolor cameras and bipack cameras (used in two-color systems such as Cinecolor) obsolete in color cinematography. This "monopack" structure is made up of three separate emulsion layers, one sensitive to red light, one to green and one to blue.

text: In 1950 Kodak announced the first Eastman color 35 mm negative film (along with a complementary positive film) that could record all three primary colors on the same strip of film. An improved version in 1952 was quickly adopted by Hollywood, making the use of three-strip Technicolor cameras and bipack cameras (used in two-color systems such as

text: Cinecolor

text: ) obsolete in color cinematography. This "monopack" structure is made up of three separate emulsion layers, one sensitive to red light, one to green and one to blue.

text: Only three classes of pigment (ommochromes, bilins and guanine) have been identified in spiders, although other pigments have been detected but not yet characterized. Melanins, carotenoids and pterins, very common in other animals, are apparently absent. In some species, the exocuticle of the legs and prosoma is modified by a tanning process, resulting in brown coloration.Bilins are found, for example, in Micrommata virescens, resulting in its green color. Guanine is responsible for the white markings of the European garden spider Araneus diadematus. It is in many species accumulated in specialized cells called guanocytes. In genera such as Tetragnatha, Leucauge, Argyrodes or Theridiosoma, guanine creates their silvery appearance. While guanine is originally an end-product of protein metabolism, its excretion can be blocked in spiders, leading to an increase in its storage. Structural colors occur in some species, which are the result of the diffraction, scattering or interference of light, for example by modified setae or scales. The white prosoma of Argiope results from hairs reflecting the light, Lycosa and Josa both have areas of modified cuticle that act as light reflectors.

text: Only three classes of

text: pigment

text: ommochrome

text: s,

text: bilins

text: and

text: guanine

text: ) have been identified in spiders, although other pigments have been detected but not yet characterized.

text: Melanin

text: s,

text: carotenoid

text: s and

text: pterin

text: s, very common in other animals, are apparently absent. In some species, the

text: exocuticle

text: of the legs and prosoma is modified by a

text: tanning

text: process, resulting in brown coloration.Bilins are found, for example, in

text: Micrommata virescens

text: , resulting in its green color. Guanine is responsible for the white markings of the

text: European garden spider

text: Araneus diadematus. It is in many species accumulated in specialized cells called

text: guanocyte

text: s. In genera such as

text: Tetragnatha

text: Leucauge

text: Argyrodes

text: or

text: Theridiosoma

text: , guanine creates their silvery appearance. While guanine is originally an end-product of protein metabolism, its excretion can be blocked in spiders, leading to an increase in its storage.

text: Structural colors

text: occur in some species, which are the result of the diffraction, scattering or interference of light, for example by modified

text: setae

text: or scales. The white prosoma of

text: Argiope

text: results from hairs reflecting the light,

text: Lycosa

text: and

text: Josa

text: both have areas of modified cuticle that act as light reflectors.

text: On October 6, 2015 Microsoft updated the Surface Pro Type Cover with a new teal color in addition to the existing black, red, blue, and bright blue colors. Also introduced was a function lock light, separated keys, and a 40% larger trackpad than previous models. A "Fingerprint ID" version was also announced, but is only available in the color black. Both are backwards compatible with the Surface Pro 3, though both are designed for the Surface Pro 4. A Signature Type Cover designed out of Alcantara was announced on April 12, 2016.

text: On October 6, 2015 Microsoft updated the Surface Pro Type Cover with a new teal color in addition to the existing black, red, blue, and bright blue colors. Also introduced was a function lock light, separated keys, and a 40% larger trackpad than previous models. A "Fingerprint ID" version was also announced, but is only available in the color black. Both are backwards compatible with the Surface Pro 3, though both are designed for the Surface Pro 4. A Signature Type Cover designed out of

text: Alcantara

text: was announced on April 12, 2016.

text: With color motion picture film, information about the color of the light at each image point is also captured. This is done by analyzing the visible spectrum of color into several regions (normally three, commonly referred to by their dominant colors: red, green and blue) and recording each region separately.

text: With color motion picture film, information about the

text: color

text: of the light at each image point is also captured. This is done by analyzing the

text: visible spectrum

text: of color into several regions (normally three, commonly referred to by their dominant colors: red, green and blue) and recording each region separately.

text: Reptiles and amphibians also have four cone types (occasionally five), and probably see at least the same number of colors that humans do, or perhaps more. In addition, some nocturnal geckos have the capability of seeing color in dim light.

text: Reptiles and amphibians also have four cone types (occasionally five), and probably see at least the same number of colors that humans do, or perhaps more. In addition, some nocturnal

text: gecko

text: s have the capability of

text: seeing color in dim light

text: The underlying physiological mechanisms involved in color opponency include the bipolar and ganglion cells in the retina, which process the signal originated by the retinal cones before it is sent to the brain. Models like RGB are based on what happens at the lower, retinal cone level, and thus are fitted for presenting self-illuminated, dynamic images as done by TV sets and computer displays; see additive color. The NCS model, for its part, describes the organization of the color sensations as perceived at the upper, brain level, and thus is much better fitted than RGB to deal with how humans experience and describe their color sensations (hence the "natural" part of its name). More problematic is the relation with the CMYK-model which is generally seen as a correct prediction of the behavior of mixing pigments, as a system of subtractive color. The NCS coincides with the CMYK as regards the green-yellow-red segment of the color circle, but differs from it in seeing the saturated subtractive primary colors magenta and cyan as complex sensations of a "redblue" and a "greenblue" respectively and in seeing green, not as a secondary color mix of yellow and cyan, but as a unique hue. The NCS explains this by assuming that the behavior of paint is partly counterintuitive to human phenomenology. Observing that the mix of yellow and cyan paint results in a green color, would thus be at odds with the intuition of pure human perception which would be unable to account for such a "yellowblue".

text: The underlying physiological mechanisms involved in color opponency include the

text: bipolar

text: and

text: ganglion cell

text: s in the

text: retina

text: , which process the signal originated by the retinal

text: cones

text: before it is sent to the

text: brain

text: . Models like

text: RGB

text: are based on what happens at the lower, retinal cone level, and thus are fitted for presenting self-illuminated, dynamic images as done by

text: TV set

text: s and

text: computer display

text: s; see

text: additive color

text: . The NCS model, for its part, describes the organization of the color sensations as perceived at the upper, brain level, and thus is much better fitted than RGB to deal with how humans experience and describe their color sensations (hence the "natural" part of its name). More problematic is the relation with the CMYK-model which is generally seen as a correct prediction of the behavior of

text: mixing pigments

text: , as a system of

text: subtractive color

text: . The NCS coincides with the CMYK as regards the green-yellow-red segment of the

text: color circle

text: , but differs from it in seeing the saturated subtractive

text: primary colors

text: magenta

text: and

text: cyan

text: as complex sensations of a "redblue" and a "greenblue" respectively and in seeing green, not as a

text: secondary color

text: mix of yellow and cyan, but as a unique hue. The NCS explains this by assuming that the behavior of paint is partly counterintuitive to human phenomenology. Observing that the mix of yellow and cyan paint results in a green color, would thus be at odds with the intuition of pure human perception which would be unable to account for such a "yellowblue".

text: The color filters filter the light by wavelength range, such that the separate filtered intensities include information about the color of light.For example, the Bayer filter (shown to the right) gives information about the intensity of light in red, green, and blue (RGB) wavelength regions. The raw image data captured by the image sensor is then converted to a full-color image (with intensities of all three primary colors represented at each pixel) by a demosaicing algorithm which is tailored for each type of color filter.The spectral transmittance of the CFA elements along with the demosaicing algorithm jointly determine the color rendition. The sensor's passband quantum efficiency and span of the CFA's spectral responses are typically wider than the visible spectrum, thus all visible colors can be distinguished. The responses of the filters do not generally correspond to the CIE color matching functions, so a color translation is required to convert the tristimulus values into a common, absolute color space.

text: The color

text: filters

text: filter the light by wavelength range, such that the separate filtered intensities include information about the color of light.For example, the

text: Bayer filter

text: (shown to the right) gives information about the intensity of light in red, green, and blue (RGB) wavelength regions. The raw image data captured by the image sensor is then converted to a full-color image (with intensities of all three

text: primary color

text: s represented at each pixel) by a

text: demosaicing

text: algorithm which is tailored for each type of color filter.The spectral

text: transmittance

text: of the CFA elements along with the demosaicing algorithm jointly determine the color rendition. The sensor's

text: passband

text: quantum efficiency

text: and span of the CFA's spectral responses are typically wider than the

text: visible spectrum

text: , thus all visible colors can be distinguished. The responses of the filters do not generally correspond to the

text: CIE

text: color matching function

text: s, so a

text: color translation

text: is required to convert the

text: tristimulus

text: values into a common,

text: absolute color space

text: Multi-Color Player<br>PRIOR bit 5, value $20/32 enables Multi-Color Player objects.  Where pixels of two Player/Missile objects overlap a third color appears.  This is implemented by eliminating priority processing between pairs of Player/Missile objects resulting in CTIA/GTIA performing a bitwise OR of the two colored pixels to output a new color.

text: Pigments, such as inks and paint, display color by absorbing some wavelengths of light and reflecting the remainder.  When pigments are combined, they absorb the combination of their colors, and reflect less.  Thus, combining pigments results in a darker color.  This is called subtractive color-mixing, as mixing pigments subtracts wavelengths from the light that is reflected.

text: In color printing, yellow is one of the three colors of ink, along with magenta and cyan, which can be overlaid in the right combination, along with black, to print any full color image. (See the CMYK color model).

text: In color printing, yellow is one of the three colors of ink, along with magenta and cyan, which can be overlaid in the right combination, along with black, to print any full color image. (See the

text: CMYK color model

text: The color box at right displays the web color indigo which is equivalent to 'light indigo', the color indigo as it would be reproduced by artists' paints as opposed to the brighter indigo above (electric indigo) that is possible to reproduce on a computer screen. Its hue is closer to violet than to indigo dye for which the color is named. Pigment indigo can be obtained by mixing 55% pigment cyan with about 45% pigment magenta.

text: The color box at right displays the web color indigo which is equivalent to 'light indigo', the color indigo as it would be reproduced by artists' paints as opposed to the brighter indigo above (electric indigo) that is possible to reproduce on a computer screen. Its hue is closer to violet than to indigo dye for which the color is named. Pigment indigo can be obtained by mixing 55% pigment cyan with about 45% pigment

text: magenta

text: The human visual response relies on trichromacy to process color appearance.  While the human visual response integrates over all wavelengths, the relative spectral power distribution will provide color appearance modeling information as the concentration of wavelength band(s) will become the primary contributors to the perceived color.

text: The human visual response relies on

text: trichromacy

text: to process color appearance.  While the human visual response integrates over all wavelengths, the relative spectral power distribution will provide

text: color appearance model

text: ing information as the concentration of wavelength band(s) will become the primary contributors to the perceived color.

text: Selection of a pigment for a particular application is determined by cost, and by the physical properties and attributes of the pigment itself. For example, a pigment that is used to color glass must have very high heat stability in order to survive the manufacturing process; but, suspended in the glass vehicle, its resistance to alkali or acidic materials is not an issue. In artistic paint, heat stability is less important, while lightfastness and toxicity are greater concerns.

text: Selection of a pigment for a particular application is determined by cost, and by the physical properties and attributes of the pigment itself. For example, a pigment that is used to color glass must have very high heat stability in order to survive the manufacturing process; but, suspended in the glass vehicle, its resistance to

text: alkali

text: or

text: acidic

text: materials is not an issue. In artistic paint, heat stability is less important, while

text: lightfastness

text: and

text: toxicity

text: are greater concerns.

text: Two-color varieties always have a white base color with areas of the second color. Tan and white is the most common two-color variety, but there is a wide range of other colors including lemon, a very light tan; red, a reddish, almost orange, brown; and liver, a darker brown, and black. Liver is not common and is not permitted in some standards; it tends to occur with yellow eyes. Ticked or mottled varieties may be either white or black with different colored flecks (ticking), such as the blue-mottled or bluetick Beagle, which has spots that appear to be a midnight-blue color, similar to the coloring of the Bluetick Coonhound. Some tricolor Beagles also have ticking of various colors in their white areas.

text: Two-color varieties always have a white base color with areas of the second color. Tan and white is the most common two-color variety, but there is a wide range of other colors including lemon, a very light tan; red, a reddish, almost orange, brown; and liver, a darker brown, and black. Liver is not common and is not permitted in some standards; it tends to occur with yellow eyes. Ticked or mottled varieties may be either white or black with different colored flecks (ticking), such as the blue-mottled or bluetick Beagle, which has spots that appear to be a midnight-blue color, similar to the coloring of the

text: Bluetick Coonhound

text: . Some tricolor Beagles also have ticking of various colors in their white areas.

text: In the field of optics, transparency (also called pellucidity or diaphaneity) is the physical property of allowing light to pass through the material without being scattered. On a macroscopic scale (one where the dimensions investigated are much, much larger than the wavelength of the photons in question), the photons can be said to follow Snell's Law. Translucency (also called translucence or translucidity) is a super-set of transparency: it allows light to pass through, but does not necessarily (again, on the macroscopic scale) follow Snell's law; the photons can be scattered at either of the two interfaces where there is a change in index of refraction, or internally. In other words, a translucent medium allows the transport of light while a transparent medium not only allows the transport of light but allows for image formation. The opposite property of translucency is opacity. Transparent materials appear clear, with the overall appearance of one color, or any combination leading up to a brilliant spectrum of every color.

text: In the field of

text: optics

text: , transparency (also called pellucidity or diaphaneity) is the

text: physical property

text: of allowing light to pass through the material without being scattered. On a macroscopic scale (one where the dimensions investigated are much, much larger than the wavelength of the

text: photon

text: s in question), the photons can be said to follow

text: Snell's Law

text: . Translucency (also called translucence or translucidity) is a super-set of transparency: it allows light to pass through, but does not necessarily (again, on the macroscopic scale) follow Snell's law; the photons can be scattered at either of the two interfaces where there is a change in index of

text: refraction

text: , or internally. In other words, a translucent medium allows the transport of light while a transparent medium not only allows the transport of light but allows for image formation. The opposite property of translucency is opacity. Transparent materials appear clear, with the overall appearance of one color, or any combination leading up to a brilliant

text: spectrum

text: of every color.

text: The result is that the background is black.  All of the features of objects in the field of view that don’t match the refractive index of the mounting medium appear as bright white.  When a particle is mounted in a liquid that matches its refractive index somewhere in the visible wavelengths then those wavelengths are not refracted by the particle and are not collected by the objective.  The image of the object is formed by all of the wavelengths that remain.  These wavelengths combine to produce a single color that can be used to indicate which band of wavelengths are missing (see Chart 2).  Examples of this type of dispersion staining and the colors shown for different λo’s can be seen at the microlabgallery.com site for Darkfield Dispersion Staining.  This method is more difficult to interpret due to the single color rather than two bracketing colors but is relatively accurate near the center of the visible range.

text: Pigment violet (web color dark violet) represents the way the color violet was always reproduced in pigments, paints, or colored pencils in the 1950s.By the 1970s, because of the advent of psychedelic art, artists became used to brighter pigments, and pigments called "Violet" that are the pigment equivalent of the electric violet reproduced in the section above became available in artists pigments and colored pencils.  (When approximating electric violet in artists pigments, a bit of white pigment is added to pigment violet.)

text: Pigment violet (web color dark violet) represents the way the color violet was always reproduced in pigments, paints, or colored pencils in the 1950s.By the 1970s, because of the advent of

text: psychedelic art

text: , artists became used to brighter pigments, and pigments called "Violet" that are the pigment equivalent of the electric violet reproduced in the section above became available in artists pigments and colored pencils.  (When approximating electric violet in artists pigments, a bit of

text: white

text: pigment is added to pigment violet.)

text: |-!colspan=9 style="background:#0021A5; color:#FFFFFF;"| Exhibition|-!colspan=9 style="background:#0021A5; color:#FFFFFF;"| Regular season (non-conference play)|-!colspan=9 style="background:#0021A5; color:#FFFFFF;"| Regular season (SEC conference play)|-!colspan=9 style="background:#0021A5; color:#FFFFFF;"|[[2015 SEC Men's Basketball Tournament|

text: The process is not very complicated in principle. An actor is filmed performing in front of a white screen that is lit with powerful sodium vapor lights. Such light glows in a specific narrow color spectrum that falls neatly into a chromatic notch between the various color sensitivity layers of the film so that the odd yellow color does not register on the red, green or blue layers. This allows the complete range of colors to be used not only in costumes, but also in makeup and props. A camera with a beam-splitter prism is used to expose two separate film elements. The main element is regular color negative film that is not very sensitive to sodium light, and the other a fine-grain black-and-white film that is extremely sensitive to the specific wavelength produced by the sodium vapor.

text: The process is not very complicated in principle. An actor is filmed performing in front of a white screen that is lit with powerful

text: sodium vapor lights

text: . Such light glows in a specific narrow color spectrum that falls neatly into a chromatic notch between the various color sensitivity layers of the film so that the odd yellow color does not register on the red, green or blue layers. This allows the complete range of colors to be used not only in costumes, but also in makeup and props. A camera with a beam-splitter

text: prism

text: is used to expose two separate film elements. The main element is regular color negative film that is not very sensitive to sodium light, and the other a fine-grain black-and-white film that is extremely sensitive to the specific wavelength produced by the sodium vapor.

text: After the completion of the Phoenix shots, the crew moved to two weeks of nighttime shooting in the Angeles National Forest. Zimmerman created a village of fourteen huts to stand in for Montana; the cast enjoyed the scenes as a chance to escape their uniforms and wear "normal" clothes. The last location shoot was at an art deco restaurant in Los Angeles' Union Station, which stood in for the Dixon Hill holonovel; Frakes wanted a sharp contrast with the dark, mechanical Borg scenes. While the cinematographer wanted to shoot the scene in black and white, Paramount executives deemed the test footage "too experimental" and the idea was dropped. The site made using high-wattage lights impractical, so Leonetti opted to use dimmer master lights near the ceiling and took advantage of a large window to shine diffused lights through. To give the scene a black-and-white feel, Leonetti made sure to use light without any coloration. "I like creating separation with lighting as opposed to using color," he explained. "You can't always rely on color because the actor might start to melt into the background." By separating the backlights, Leonetti made sure that the principal actors stood out of the backdrop. The shoot used a ten-piece orchestra, 15 stuntmen, and 120 extras to fill the seats. Among the nightclub patrons were Braga, Moore, and the film's stunt coordinator, Ronnie Rondell.

text: After the completion of the Phoenix shots, the crew moved to two weeks of nighttime shooting in the Angeles National Forest. Zimmerman created a village of fourteen huts to stand in for Montana; the cast enjoyed the scenes as a chance to escape their uniforms and wear "normal" clothes. The last location shoot was at an

text: art deco

text: restaurant in Los Angeles'

text: Union Station

text: , which stood in for the Dixon Hill holonovel; Frakes wanted a sharp contrast with the dark, mechanical Borg scenes. While the cinematographer wanted to shoot the scene in black and white, Paramount executives deemed the test footage "too experimental" and the idea was dropped. The site made using high-wattage lights impractical, so Leonetti opted to use dimmer master lights near the ceiling and took advantage of a large window to shine diffused lights through. To give the scene a black-and-white feel, Leonetti made sure to use light without any coloration. "I like creating separation with lighting as opposed to using color," he explained. "You can't always rely on color because the actor might start to melt into the background." By separating the backlights, Leonetti made sure that the principal actors stood out of the backdrop. The shoot used a ten-piece orchestra, 15 stuntmen, and 120 extras to fill the seats. Among the nightclub patrons were Braga, Moore, and the film's stunt coordinator, Ronnie Rondell.

text: A spectral color is a color that is evoked by a single wavelength of light in the visible spectrum, or by a relatively narrow band of wavelengths, also known as monochromatic light.  Every wavelength of visible light is perceived as a spectral color, in a continuous spectrum; the colors of sufficiently close wavelengths are indistinguishable.

text: A spectral color is a

text: color

text: that is evoked by a single

text: wavelength

text: of

text: light

text: in the

text: visible spectrum

text: , or by a relatively narrow band of wavelengths, also known as

text: monochromatic

text: light.  Every wavelength of visible light is perceived as a spectral color, in a continuous spectrum; the colors of sufficiently close wavelengths are indistinguishable.

text: In an observation, the brightness of an object is measured twice through a different filter. The resulting difference in magnitude is called the color index. The U–B or B–V color indices are the most common ones.

text: In an observation, the brightness of an object is measured twice through a different filter. The resulting difference in magnitude is called the

text: color index

text: . The U–B or B–V color indices are the most common ones.

text: Once the SOM is trained using the input data, the final map is not expected to have any twists. If the map is twist-free, the distance between the codebook vectors of neighboring neurons gives an approximation of the distance between different parts of the underlying data. When such distances are depicted in a grayscale image, light colors depict closely spaced node codebook vectors and darker colors indicate more widely separated node codebook vectors. Thus, groups of light colors can be considered as clusters, and the dark parts as the boundaries between the clusters. This representation can help to visualize the clusters in the high-dimensional spaces, or to automatically recognize them using relatively simple image processing techniques.

text: Once the SOM is trained using the input data, the final map is not expected to have any twists. If the map is twist-free, the distance between the codebook vectors of neighboring neurons gives an approximation of the distance between different parts of the underlying data. When such distances are depicted in a grayscale image, light colors depict closely spaced node codebook vectors and darker colors indicate more widely separated node codebook vectors. Thus, groups of light colors can be considered as

text: clusters

text: , and the dark parts as the boundaries between the clusters. This representation can help to visualize the clusters in the

text: high-dimensional space

text: s, or to automatically recognize them using relatively simple

text: image processing

text: techniques.

text: |-! rowspan="2" colspan=2 style="background-color:#E9E9E9" align=left|Parties! rowspan="2" style="background-color:#E9E9E9" align=right|Votes! rowspan="2" style="background-color:#E9E9E9" align=right|%! rowspan="2" style="background-color:#E9E9E9" align=right|±pp swing! colspan="5" style="background-color:#E9E9E9" align="center"|MPs! rowspan="2" style="background-color:#E9E9E9;text-align:right;" |MPs %/<br>votes %|- style="background-color:#E9E9E9"! style="background-color:#E9E9E9;text-align=center|2007! style="background-color:#E9E9E9;text-align=center|2011! style="background-color:#E9E9E9" align=right|±! style="background-color:#E9E9E9" align=right|%! style="background-color:#E9E9E9" align=right|±|-|71,561||48.57||15.7||33||25||8||53.19||17.0||1.10|-|25,975||17.63||12.3||2||9||7||19.15||14.8||1.09|-|16,942||11.50||3.9||7||6||1||12.77||2.1||1.11|-|10,115||6.87||||||3||||6.38||||0.93|-|5,546||3.76||3.8||2||1||1||2.13||2.1||0.57|-|4,825||3.27||1.2||1||1||0||2.13||0.0||0.65|-|style="width: 10px" bgcolor=teal align="center" | |align=left|Party for Animals and Nature|3,134||2.13||||||1||||2.13||||1.00|-|2,839||1.93||0.3||1||1||0||2.13||0.0||1.10|-|2,512||1.70||1.3||1||0||1||0.00||2.1||0.0|-|colspan=2 align=left style="background-color:#E9E9E9"|Total valid|width="50" align="right" style="background-color:#E9E9E9"|143,449|width="40" align="right" style="background-color:#E9E9E9"|97.36|width="40" align="right" style="background-color:#E9E9E9"|0.4|width="40" align="right" style="background-color:#E9E9E9"|47|width="40" align="right" style="background-color:#E9E9E9"|47|width="40" align="right" style="background-color:#E9E9E9"|0|width="40" align="right" style="background-color:#E9E9E9"|100.00|width="40" align="right" style="background-color:#E9E9E9"|0.0|width="40" align="right" style="background-color:#E9E9E9"|—|-|colspan=2|Blank ballots|1,088||0.74||0.1||colspan=6 rowspan=3||-|colspan=2|Invalid ballots|2,800||1.90||0.5|-|colspan=2 align=left style="background-color:#E9E9E9"|Total (turnout 57.38%)|width="50" align="right" style="background-color:#E9E9E9"|147,337|width="40" align="right" style="background-color:#E9E9E9"|100.00|width="40" align="right" style="background-color:#E9E9E9"|3.4|-| colspan=11 align=left | Source: Comissão Nacional de Eleições|}

text: |-! rowspan="2" colspan=2 style="background-color:#E9E9E9" align=left|

text: Parties

text: ! rowspan="2" style="background-color:#E9E9E9" align=right|Votes! rowspan="2" style="background-color:#E9E9E9" align=right|%! rowspan="2" style="background-color:#E9E9E9" align=right|±

text: pp

text: swing

text: ! colspan="5" style="background-color:#E9E9E9" align="center"|

text: MPs

text: ! rowspan="2" style="background-color:#E9E9E9;text-align:right;" |MPs %/<br>votes %|- style="background-color:#E9E9E9"! style="background-color:#E9E9E9;text-align=center|

text: ! style="background-color:#E9E9E9;text-align=center|2011! style="background-color:#E9E9E9" align=right|±! style="background-color:#E9E9E9" align=right|%! style="background-color:#E9E9E9" align=right|±|-|71,561||48.57||15.7||33||25||8||53.19||17.0||1.10|-|25,975||17.63||12.3||2||9||7||19.15||14.8||1.09|-|16,942||11.50||3.9||7||6||1||12.77||2.1||1.11|-|10,115||6.87||||||3||||6.38||||0.93|-|5,546||3.76||3.8||2||1||1||2.13||2.1||0.57|-|4,825||3.27||1.2||1||1||0||2.13||0.0||0.65|-|style="width: 10px" bgcolor=teal align="center" | |align=left|

text: Party for Animals and Nature

text: |3,134||2.13||||||1||||2.13||||1.00|-|2,839||1.93||0.3||1||1||0||2.13||0.0||1.10|-|2,512||1.70||1.3||1||0||1||0.00||2.1||0.0|-|colspan=2 align=left style="background-color:#E9E9E9"|Total valid|width="50" align="right" style="background-color:#E9E9E9"|143,449|width="40" align="right" style="background-color:#E9E9E9"|97.36|width="40" align="right" style="background-color:#E9E9E9"|0.4|width="40" align="right" style="background-color:#E9E9E9"|47|width="40" align="right" style="background-color:#E9E9E9"|47|width="40" align="right" style="background-color:#E9E9E9"|0|width="40" align="right" style="background-color:#E9E9E9"|100.00|width="40" align="right" style="background-color:#E9E9E9"|0.0|width="40" align="right" style="background-color:#E9E9E9"|—|-|colspan=2|Blank ballots|1,088||0.74||0.1||colspan=6 rowspan=3||-|colspan=2|Invalid ballots|2,800||1.90||0.5|-|colspan=2 align=left style="background-color:#E9E9E9"|Total (turnout 57.38%)|width="50" align="right" style="background-color:#E9E9E9"|147,337|width="40" align="right" style="background-color:#E9E9E9"|100.00|width="40" align="right" style="background-color:#E9E9E9"|3.4|-| colspan=11 align=left | Source: Comissão Nacional de Eleições|}

text: Red is one of the additive primary colors of visible light, along with green and blue, which in Red Green Blue (RGB) color systems are combined to create all the colors on a computer monitor or television screen. Red is one of the subtractive secondary colors, resulting from the combination of yellow and magenta.  (See CMYK color model.)  Traditionally, it was viewed as a primary subtractive colour, along with yellow and blue, in the RYB color space and traditional color wheel formerly used by painters and artists. Reds can vary in shade from very light pink to very dark maroon or burgundy;  and in hue from the bright orange-red scarlet or vermilion to the bluish-red crimson. Red is the complementary color of cyan.

text: Red is one of the

text: additive primary color

text: s of visible light, along with

text: green

text: and

text: blue

text: , which in

text: Red Green Blue (RGB)

text: color systems are combined to create all the colors on a computer monitor or television screen. Red is one of the

text: subtractive secondary colors

text: , resulting from the combination of

text: yellow

text: and

text: magenta

text: .  (See

text: CMYK color model

text: .)  Traditionally, it was viewed as a primary subtractive colour, along with yellow and

text: blue

text: , in the

text: RYB color space

text: and traditional

text: color wheel

text: formerly used by painters and artists. Reds can vary in

text: shade

text: from very light

text: pink

text: to very dark

text: maroon

text: or

text: burgundy

text: ;  and in

text: hue

text: from the bright orange-red

text: scarlet

text: or

text: vermilion

text: to the bluish-red

text: crimson

text: . Red is the

text: complementary color

text: of

text: cyan

text: Dennett also has a response to the "Mary the color scientist" thought experiment. He argues that Mary would not, in fact, learn something new if she stepped out of her black and white room to see the color red. Dennett asserts that if she already truly knew "everything about color", that knowledge would include a deep understanding of why and how human neurology causes us to sense the "quale" of color. Mary would therefore already know exactly what to expect of seeing red, before ever leaving the room. Dennett argues that the misleading aspect of the story is that Mary is supposed to not merely be knowledgeable about color but to actually know all the physical facts about it, which would be a knowledge so deep that it exceeds what can be imagined, and twists our intuitions.

text: Dennett also has a response to the

text: "Mary the color scientist"

text: thought experiment. He argues that Mary would not, in fact, learn something new if she stepped out of her black and white room to see the color red. Dennett asserts that if she already truly knew "everything about color", that knowledge would include a deep understanding of why and how human neurology causes us to sense the "quale" of color. Mary would therefore already know exactly what to expect of seeing red, before ever leaving the room. Dennett argues that the misleading aspect of the story is that Mary is supposed to not merely be knowledgeable about color but to actually know all the physical facts about it, which would be a knowledge so deep that it exceeds what can be imagined, and twists our intuitions.

text: Microblading should be performed using aseptic technique, needles must always be sterile and single use, the technician must disinfect the area of the skin prior to the tattoo service and clinical grade single use associated equipment and consumables are highly recommended (hand piece, skin wipes and saline, micro-brushes, dressing packs etc.) preferably sterile. The most common complications and client dissatisfaction that results from any form of tattooing is misapplication of the pigment, pigment migration and color change. Serious complications are uncommon though it is important to stress that like all forms of tattooing risks associated with Microblading include the transmission of Blood Borne Pathogenic Organisms (e.g. HIV, Hepatitis C Virus) as well as short term or long terms reactions to pigment ingredients. Therefore, it is essential to check that the technician holds appropriate licenses and registrations for the provision of tattoo services as well as enquiring about the standard of training and that has been attained by the technician.

text: As a ray of white sunlight travels through the atmosphere to an observer, some of the colors are scattered out of the beam by air molecules and airborne particles, changing the final color of the beam the viewer sees.Because the shorter wavelength components, such as blue and green, scatter more strongly,these colors are preferentially removed from the beam.At sunrise and sunset, when the path through the atmosphere is longer, the blue and green components are removed almost completely, leaving the longer wavelength orange and red hues we see at those times. The remaining reddened sunlight can then be scattered by cloud droplets and other relatively large particles to light up the horizon red and orange.  The removal of the shorter wavelengths of light is due to Rayleigh scattering by air molecules and particles much smaller than the wavelength of visible light (less than 50 nm in diameter).  The scattering by cloud droplets and other particles with diameters comparable to or larger than the sunlight's wavelengths (> 600 nm) is due to Mie scattering and is not strongly wavelength-dependent.  Mie scattering is responsible for the light scattered by clouds, and also for the daytime halo of white light around the Sun (forward scattering of white light). Sunset colors are typically more brilliant than sunrise colors, because the evening air contains more particles than morning air.

text: As a ray of white sunlight travels through the atmosphere to an observer, some of the colors are scattered out of the beam by air molecules and

text: airborne particles

text: , changing the final color of the beam the viewer sees.Because the shorter wavelength components, such as blue and green, scatter more strongly,these colors are preferentially removed from the beam.At

text: sunrise

text: and sunset, when the path through the atmosphere is longer, the blue and green components are removed almost completely, leaving the longer wavelength orange and red

text: hue

text: s we see at those times. The remaining reddened sunlight can then be scattered by cloud droplets and other relatively large particles to light up the horizon red and orange.  The removal of the shorter wavelengths of light is due to

text: Rayleigh scattering

text: by air molecules and particles much smaller than the wavelength of visible light (less than 50 nm in diameter).  The scattering by cloud droplets and other particles with diameters comparable to or larger than the sunlight's wavelengths (> 600 nm) is due to

text: Mie scattering

text: and is not strongly wavelength-dependent.  Mie scattering is responsible for the light scattered by clouds, and also for the daytime halo of white light around the Sun (forward scattering of white light). Sunset colors are typically more brilliant than

text: sunrise

text: colors, because the evening air contains more particles than morning air.

text: Source: |-!colspan=9 style="background:#C41E3A; color:#FFFFFF;"| Regular season|-|-!colspan=9 style="background:#C41E3A; color:#FFFFFF;"|

text: People who use Luxin are called Drafters. Most Drafters can only cast a single color of Luxin and are known as 'Monochromes'. More powerful Drafters, known as 'Bichromes', can use two colors of Luxin, and people who can use three or more colors are known as 'Polychromes.' Polychromes are the most highly-sought-after Drafters for any Satrapy's army. It would seem that in order to be considered a Drafter in a particular color, said Drafter must be able to Draft the whole color: Karris Whiteoak, who can Draft Green, Red and  most of Sub-Red, is only considered a Bichrome. In order to draft a color of Luxin, a Drafter must see the color somewhere in his or her surroundings. If the color is not available in their immediate surroundings, most Drafters get around this by wearing colored spectacles to filter their color from white (natural) light.

text: If the activity of the retina is divided without a remainder, or if the remainder is active, then a color and its spectrum (afterimage) are bright or pale. When such a color and its spectrum are united, then the eye sees pure light or white. For example, the mixture of bright or pale red and green on the same retinal spot results in the impression there of light or white. White cannot be produced by mixing colored pigments. With colors from a prism, however, the production of white can be demonstrated by using a mixture of colored light from each of the three main pairs of complementary colors: red – green, orange – blue, or yellow – violet. White can be produced from two complementary opposite colors when both of the external causes of the colors excite the same retinal place at the same time. Newton claimed that white could be produced by the aggregation of his seven prismatic colors. He erroneously considered color to be in light instead of in the eye. White is the result of the combination of two opposite colors because their inactivity, or darkness, is removed when the two active parts of the retina combine.

text: Other ISO standards pertain to particular classes or categories of pigments, based on their chemical composition, such as ultramarine pigments, titanium dioxide, iron oxide pigments, and so forth.

text: Other ISO standards pertain to particular classes or categories of pigments, based on their chemical composition, such as

text: ultramarine

text: pigments,

text: titanium dioxide

text: , iron oxide pigments, and so forth.

text: In 1860 Cros began studies in medicine, but he soon abandoned them for a life of literary and scientific pursuits. In 1869 he published a theory of color photography in which he proposed that a single scene could be photographed through glass filters colored green, violet, and orange. The three negatives obtained through those filters could be developed to produce positive impressions that contained varying amounts of red, yellow, and blue (the "antichromatic" or complementary colors of the filters). The three positive impressions, when superimposed on one another (for instance, by making three carbon prints using sufficiently transparent pigments, then transferring the pigmented gelatin onto a single support sheet) would recompose the original colors of the photographed scene. Cros's proposals, which anticipated the subtractive method of modern photography, were similar to more influential ideas advanced about the same time by Louis Ducos du Hauron. The same day, May 7, 1869, Charles Cros and Louis Ducos du Hauron presented their method of creating color photographs to the French Society of Photography. They had not been in communication beforehand and each knew nothing about the other's research. Cros ended up conceding the invention to Ducos Du Hauron, despite having deposited a sealed paper at the French Academy of Sciences on December 2, 1867. Ducos du Hauron had patented his ideas on November 28, 1868, almost a full year later, but claimed to have written an unpublished paper on the subject in 1862.

text: In 1860 Cros began studies in medicine, but he soon abandoned them for a life of literary and scientific pursuits. In 1869 he published a theory of color photography in which he proposed that a single scene could be photographed through glass filters colored green, violet, and orange. The three negatives obtained through those filters could be developed to produce positive impressions that contained varying amounts of red, yellow, and blue (the "antichromatic" or

text: complementary color

text: s of the filters). The three positive impressions, when superimposed on one another (for instance, by making three

text: carbon print

text: s using sufficiently transparent pigments, then transferring the pigmented gelatin onto a single support sheet) would recompose the original colors of the photographed scene. Cros's proposals, which anticipated the subtractive method of modern photography, were similar to more influential ideas advanced about the same time by

text: Louis Ducos du Hauron

text: . The same day, May 7, 1869, Charles Cros and Louis Ducos du Hauron presented their method of creating color photographs to the French Society of Photography. They had not been in communication beforehand and each knew nothing about the other's research. Cros ended up conceding the invention to Ducos Du Hauron, despite having deposited a sealed paper at the French Academy of Sciences on December 2, 1867. Ducos du Hauron had patented his ideas on November 28, 1868, almost a full year later, but claimed to have written an unpublished paper on the subject in 1862.

text: One can picture this space as a region in three-dimensional Euclidean space if one identifies the x, y, and z axes with the stimuli for the long-wavelength (L), medium-wavelength (M), and short-wavelength (S) light receptors. The origin, (S,M,L) = (0,0,0), corresponds to black.  White has no definite position in this diagram; rather it is defined according to the color temperature or white balance as desired or as available from ambient lighting. The human color space is a horse-shoe-shaped cone such as shown here (see also CIE chromaticity diagram below), extending from the origin to, in principle, infinity. In practice, the human color receptors will be saturated or even be damaged at extremely high light intensities, but such behavior is not part of the CIE color space and neither is the changing color perception at low light levels (see: Kruithof curve).

text: One can picture this space as a region in three-dimensional

text: Euclidean space

text: if one identifies the x, y, and z axes with the stimuli for the long-wavelength (L), medium-wavelength (M), and short-wavelength (S)

text: light receptors

text: . The origin, (S,M,L) = (0,0,0), corresponds to black.  White has no definite position in this diagram; rather it is defined according to the

text: color temperature

text: or white balance as desired or as available from ambient lighting. The human color space is a horse-shoe-shaped cone such as shown here (see also

text: CIE chromaticity diagram

text: below), extending from the origin to, in principle, infinity. In practice, the human color receptors will be saturated or even be damaged at extremely high light intensities, but such behavior is not part of the

text: CIE

text: color space and neither is the changing color perception at low light levels (see:

text: Kruithof curve

text: Automated color measurement is a newer method of liquid color measurement.  In this case the same is contained in a test tube; the tube is inserted into the instrument, and the color properties of the liquid read out on a screen.  This method can provide objective measurements, but is far more expensive than a set of color standards.  This method is used less frequently because of how expensive it is.  There is also an automated method which compares a sample to its standard, also providing objective measurement.

text: Automated color measurement is a newer method of liquid color measurement.  In this case the same is contained in a

text: test tube

text: ; the tube is inserted into the instrument, and the color properties of the liquid read out on a screen.  This method can provide objective measurements, but is far more expensive than a set of color standards.  This method is used less frequently because of how expensive it is.  There is also an automated method which compares a sample to its standard, also providing objective measurement.

text: Color subtraction filters work by absorbing certain colors of light, letting the remaining colors through.  They can be used to demonstrate the primary colors that make up an image. They are perhaps most frequently used in the printing industry for color separations, and again, use has diminished as digital solutions have become more advanced and abundant.

text: Color subtraction filters work by absorbing certain colors of light, letting the remaining colors through.  They can be used to demonstrate the primary colors that make up an image. They are perhaps most frequently used in the

text: printing

text: industry for

text: color separation

text: s, and again, use has diminished as digital solutions have become more advanced and abundant.

text: The different colors used in the film have symbolic meanings. Each of the three main storylines has its own unique hue that highlights their originality and unlikeness to each other. Color differentiation can be traced as far back as Nemo's childhood, where three girls sit on a bench. They are his possible future wives: Jeanne, Elise, and Anna; one in yellow, the other in blue, and the third in a red dress. In his life with Elise, Nemo experiences the consequences of depression and despair, themes associated with the color blue. Choosing Jeanne, Nemo seeks material well-being and independence: yellow – the color of life and wealth – emphasizes this. The true love and passionate relationship between Nemo and Anna is symbolized by the red color of Anna's dress. It is noteworthy that the unborn Nemo is shown living in a white world. White contains all colors of the visible spectrum; this supports the allegorical message of the film that all things are possible until a choice is made. By the end of his life, Nemo is a decrepit old man and lives in a white surrounding (room, clothes, doctor). This way we can see that the fate of the protagonist leads him back to the origins from where he started, the point at which everything is possible.

text: Many flowering plants reflect as much light as possible within the range of visible wavelengths of the pollinator the plant intends to attract. Flowers that reflect the full range of visible light are generally perceived as white by a human observer. An important feature of white flowers is that they reflect equally across the visible spectrum. While many flowering plants use white to attract pollinators, the use of color is also widespread (even within the same species). Color allows a flowering plant to be more specific about the pollinator it seeks to attract. The color model used by human color reproduction technology (CMYK) relies on the modulation of pigments that divide the spectrum into broad areas of absorption. Flowering plants by contrast are able to shift the transition point wavelength between absorption and reflection. If it is assumed that the visual systems of most pollinators view the visible spectrum as circular then it may be said that flowering plants produce color by absorbing the light in one region of the spectrum and reflecting the light in the other region. With CMYK, color is produced as a function of the amplitude of the broad regions of absorption. Flowering plants by contrast produce color by modifying the frequency (or rather wavelength) of the light reflected. Most flowers absorb light in the blue to yellow region of the spectrum and reflect light from the green to red region of the spectrum. For many species of flowering plant, it is the transition point that characterizes the color that they produce. Color may be modulated by shifting the transition point between absorption and reflection and in this way a flowering plant may specify which pollinator it seeks to attract.

text: Many flowering plants reflect as much light as possible within the range of visible wavelengths of the pollinator the plant intends to attract. Flowers that reflect the full range of visible light are generally perceived as

text: white

text: by a human observer. An important feature of white flowers is that they reflect equally across the visible spectrum. While many flowering plants use white to attract pollinators, the use of color is also widespread (even within the same species). Color allows a flowering plant to be more specific about the pollinator it seeks to attract. The color model used by human color reproduction technology (

text: CMYK

text: ) relies on the modulation of pigments that divide the spectrum into broad areas of absorption. Flowering plants by contrast are able to shift the transition point wavelength between absorption and reflection. If it is assumed that the visual systems of most pollinators view the visible spectrum as

text: circular

text: then it may be said that flowering plants produce color by absorbing the light in one region of the spectrum and reflecting the light in the other region. With CMYK, color is produced as a function of the amplitude of the broad regions of absorption. Flowering plants by contrast produce color by modifying the frequency (or rather wavelength) of the light reflected. Most flowers absorb light in the blue to yellow region of the spectrum and reflect light from the green to red region of the spectrum. For many species of flowering plant, it is the transition point that characterizes the color that they produce. Color may be modulated by shifting the transition point between absorption and reflection and in this way a flowering plant may specify which pollinator it seeks to attract.

text: A striplight is a multi-circuit stage lighting instrument. Striplights are one of the most basic types of lighting fixtures available.  They usually consist of row of lamps.  A single striplight is usually wired internally into either 3 or 4 circuits.  Each internal circuit consists of several lamps evenly spaced within the unit.  Often, a lighting designer will use roundels (colored glass lenses) or gels to make these lights different colors. The unit can then be wired into several different circuits, allowing each bank of colored lights to be controlled by a separate dimmer on the lighting board. Striplights are often used to color a cyclorama, or can alternately be positioned behind the proscenium arch to provide a general overhead color wash.

text: A striplight is a multi-circuit

text: stage lighting instrument

text: . Striplights are one of the most basic types of lighting fixtures available.  They usually consist of row of lamps.  A single striplight is usually wired internally into either 3 or 4 circuits.  Each internal circuit consists of several lamps evenly spaced within the unit.  Often, a lighting designer will use roundels (colored glass lenses) or

text: gels

text: to make these lights different colors. The unit can then be wired into several different circuits, allowing each bank of colored lights to be controlled by a separate dimmer on the

text: lighting board

text: . Striplights are often used to color a

text: cyclorama

text: , or can alternately be positioned behind the

text: proscenium arch

text: to provide a general overhead color wash.

text: A color chart or color reference card is a flat, physical object that has many different color samples present. They can be available as a one-page chart, or in the form of swatchbooks or color-matching fans.

text: A color chart or color reference card is a flat, physical object that has many different

text: color

text: samples present. They can be available as a one-page chart, or in the form of swatchbooks or color-matching fans.

text: One way to test this idea is to see whether the frequency of co-occurrence of light spectra predicts simultaneous color contrast effects (see side image, Fig. 1). Long and Purves showed that by sampling thousands of natural images, analysis of associations between target colors and the colors of their surrounds could explain perceptual effects like those seen on the right. Rather than explaining the diverging color percepts as unfortunate byproducts of a normally veridical color perception mechanism, according to this work the different colors humans see are simply the byproducts of our species and individual exposure to the distribution of color spectra in the world.

text: One way to test this idea is to see whether the frequency of co-occurrence of light spectra predicts simultaneous color contrast effects (see side image, Fig. 1). Long and Purves showed that by sampling thousands of

text: natural images

text: , analysis of associations between target colors and the colors of their surrounds could explain perceptual effects like those seen on the right. Rather than explaining the diverging color percepts as unfortunate byproducts of a normally veridical color perception mechanism, according to this work the different colors humans see are simply the byproducts of our species and individual exposure to the distribution of color spectra in the world.

text: Source of color: ISCC-NBS Dictionary of Color Names (1955)--Color Sample of golden brown (color sample #74)(matches color called ''golden brown'' in ''A Dictionary of Color''by Maerz and Paul):

text: The breed's coat pattern is that of a ticked tabby. That is, individual hair strands have alternating sections of dark and light color, typically two dark bands separated by two light bands, with a dark color at the tip. The underside, including the chest, muzzle and chin, takes the color of the light bands. The Singapura is recognized by cat registries in only one color, the sepia agouti, described as "dark brown ticking on a warm old ivory ground color".

text: The breed's coat pattern is that of a

text: ticked tabby

text: . That is, individual hair strands have alternating sections of dark and light color, typically two dark bands separated by two light bands, with a dark color at the tip. The underside, including the chest, muzzle and chin, takes the color of the light bands. The Singapura is recognized by

text: cat registries

text: in only one color, the sepia agouti, described as "dark brown ticking on a warm old ivory ground color".

text: While there are many techniques for reproducing images in color, specific graphic processes and industrial equipment are used for mass reproduction of color images on paper. In this sense, "color printing" involves reproduction techniques suited for printing presses capable of thousands or millions of impressions for publishing newspapers and magazines, brochures, cards, posters and similar mass-market items. In this type of industrial or commercial printing, the technique used to print full-color images, such as color photographs, is referred to as four-color-process or merely process printing.  Four inks are used: three secondary colors plus black. These ink colors are cyan, magenta, yellow and key (black); abbreviated as CMYK. Cyan can be thought of as minus-red, magenta as minus-green, and yellow as minus-blue.  These inks are semi-transparent or translucent.  Where two such inks overlap on the paper due to sequential printing impressions, a primary color is perceived.  For example, yellow (minus-blue) overprinted by magenta (minus green) yields red. Where all three inks may overlap, almost all incident light is absorbed or subtracted, yielding near black, but in practical terms it is better and cheaper to use a separate black ink instead of combining three colored inks. The secondary or subtractive colors cyan, magenta and yellow may be considered "primary" by printers and watercolorists (whose basic inks and paints are transparent).

text: While there are many techniques for reproducing images in color, specific graphic processes and industrial equipment are used for mass reproduction of color images on paper. In this sense, "color printing" involves reproduction techniques suited for

text: printing press

text: es capable of thousands or millions of impressions for publishing newspapers and magazines, brochures, cards, posters and similar mass-market items. In this type of industrial or commercial

text: printing

text: , the technique used to print full-color images, such as color photographs, is referred to as four-color-process or merely process printing.  Four inks are used: three secondary colors plus black. These ink colors are

text: cyan

text: magenta

text: yellow

text: and

text: key

text: black

text: ); abbreviated as

text: CMYK

text: . Cyan can be thought of as minus-red, magenta as minus-green, and yellow as minus-blue.  These inks are semi-transparent or translucent.  Where two such inks overlap on the paper due to sequential printing impressions, a primary color is perceived.  For example, yellow (minus-blue) overprinted by magenta (minus green) yields red. Where all three inks may overlap, almost all incident light is absorbed or subtracted, yielding near black, but in practical terms it is better and cheaper to use a separate black ink instead of combining three colored inks. The secondary or

text: subtractive color

text: s cyan, magenta and yellow may be considered "primary" by printers and watercolorists (whose basic inks and paints are transparent).

text: Separate colors may be used for fire versus EMS volunteers.  In Connecticut, Indiana, and New York, volunteer firefighters use blue while volunteer EMTs use green. In New Jersey, volunteer fire and ambulance personnel use blue lights in their personal vehicles while responding to their stations. In NJ red lights are only allowed for emergency vehicles, fire chiefs, chief officers of first aid or rescue squads, or other law enforcement vehicles. In Iowa, volunteer firefighters can use flashing blue lights on their personal vehicles, while volunteer EMTs can use flashing white (clear) lights.

text: See also : R-colored vowel in Badaga

text: See also :

text: R-colored vowel in Badaga

text: As an astronomical object sets or rises in relation to the horizon, the light it emits travels through Earth's atmosphere, which works as a prism separating the light into different colors. The color of the upper rim of an astronomical object could go from green to blue to violet depending on the decrease in concentration of pollutants, as they spread throughout an increasing volume of atmosphere. The lower rim of an astronomical object is always red.<br>A green rim is very thin and is difficult or impossible to see with the naked eye. In usual conditions, a green rim of an astronomical object gets fainter when an astronomical object is very low above the horizon because of atmospheric reddening, but sometimes the conditions are right to see a green rim just above the horizon. The following quote describes what was probably the longest observation of a green rim, which at times could have been a green flash. It was seen on and off for 35 minutes by members of the Richard Evelyn Byrd party from the Antarctic Little America exploration base in 1934:

text: As an

text: astronomical object

text: sets or rises in relation to the horizon, the light it emits travels through Earth's

text: atmosphere

text: , which works as a

text: prism

text: separating the light into different colors. The color of the upper rim of an astronomical object could go from green to blue to violet depending on the decrease in concentration of

text: pollutants

text: , as they spread throughout an increasing volume of atmosphere. The lower rim of an astronomical object is always red.<br>A green rim is very thin and is difficult or impossible to see with the naked eye. In usual conditions, a green rim of an astronomical object gets fainter when an astronomical object is very low above the

text: horizon

text: because of atmospheric reddening, but sometimes the conditions are right to see a green rim just above the horizon. The following quote describes what was probably the longest observation of a green rim, which at times could have been a green flash. It was seen on and off for 35 minutes by members of the

text: Richard Evelyn Byrd

text: party from the Antarctic

text: Little America exploration base

text: in 1934:

text: |- ! rowspan="2" colspan=2 style="background-color:#E9E9E9" align=left|Parties! rowspan="2" style="background-color:#E9E9E9" align=right|Votes! rowspan="2" style="background-color:#E9E9E9" align=right|%! rowspan="2" style="background-color:#E9E9E9" align=right|±pp swing! colspan="5" style="background-color:#E9E9E9" align="center"|MPs! rowspan="2" style="background-color:#E9E9E9;text-align:right;" |MPs %/<br>votes %|- style="background-color:#E9E9E9"! style="background-color:#E9E9E9;text-align:center;"|2011! style="background-color:#E9E9E9;text-align:center;"| 2015! style="background-color:#E9E9E9" align=right|±! style="background-color:#E9E9E9" align=right|%! style="background-color:#E9E9E9" align=right|±|-||56,574||44.36||4.2||25||24||1||51.06||2.1||1.15|-||17,488||13.71||3.9||9||7||2||14.89||4.3||1.09|-||14,573||11.43||11.0||11||6||5||12.77||10.6||1.12|-||13,114||10.28||||||5||||10.64||||1.03|-||7,060||5.54||1.8||1||2||1||4.25||2.1||0.77|-||4,849||3.80||2.1||0||2||2||4.25||4.3||1.12|-||2,635||2.07||1.2||1||1||0||2.13||0.0||1.04|-||2,137||1.67||||||0||||0.00||||0.0|-||1,715||1.34||||||0||||0.00||||0.0|-||1,052||0.82||||||0||||0.00||||0.0|-|style="width: 10px" bgcolor=white align="center" | |align=left|Citizen Platform||903||0.71||||||0||||0.00||||0.0|-|colspan=2 align=left style="background-color:#E9E9E9"|Total valid|width="50" align="right" style="background-color:#E9E9E9"|122,100|width="40" align="right" style="background-color:#E9E9E9"|95.74|width="40" align="right" style="background-color:#E9E9E9"|1.6|width="40" align="right" style="background-color:#E9E9E9"|47|width="40" align="right" style="background-color:#E9E9E9"|47|width="40" align="right" style="background-color:#E9E9E9"|0|width="40" align="right" style="background-color:#E9E9E9"|100.00|width="40" align="right" style="background-color:#E9E9E9"|0.0|width="40" align="right" style="background-color:#E9E9E9"|—|-|colspan=2|Blank ballots||1,116||0.87||0.2||colspan=6 rowspan=3||-|colspan=2|Invalid ballots||4,323||3.39||1.5|-|colspan=2 align=left style="background-color:#E9E9E9"|Total (turnout 49.58%)|width="50" align="right" style="background-color:#E9E9E9"|127,539|width="40" align="right" style="background-color:#E9E9E9"|100.00|width="40" align="right" style="background-color:#E9E9E9"|7.8|-| colspan=11 align=left|

text: |- ! rowspan="2" colspan=2 style="background-color:#E9E9E9" align=left|

text: Parties

text: pp

text: swing

text: MPs

text: ! rowspan="2" style="background-color:#E9E9E9;text-align:right;" |MPs %/<br>votes %|- style="background-color:#E9E9E9"! style="background-color:#E9E9E9;text-align:center;"|

text: ! style="background-color:#E9E9E9;text-align:center;"| 2015! style="background-color:#E9E9E9" align=right|±! style="background-color:#E9E9E9" align=right|%! style="background-color:#E9E9E9" align=right|±|-||56,574||44.36||4.2||25||24||1||51.06||2.1||1.15|-||17,488||13.71||3.9||9||7||2||14.89||4.3||1.09|-||14,573||11.43||11.0||11||6||5||12.77||10.6||1.12|-||13,114||10.28||||||5||||10.64||||1.03|-||7,060||5.54||1.8||1||2||1||4.25||2.1||0.77|-||4,849||3.80||2.1||0||2||2||4.25||4.3||1.12|-||2,635||2.07||1.2||1||1||0||2.13||0.0||1.04|-||2,137||1.67||||||0||||0.00||||0.0|-||1,715||1.34||||||0||||0.00||||0.0|-||1,052||0.82||||||0||||0.00||||0.0|-|style="width: 10px" bgcolor=white align="center" | |align=left|

text: Citizen Platform

text: ||903||0.71||||||0||||0.00||||0.0|-|colspan=2 align=left style="background-color:#E9E9E9"|Total valid|width="50" align="right" style="background-color:#E9E9E9"|122,100|width="40" align="right" style="background-color:#E9E9E9"|95.74|width="40" align="right" style="background-color:#E9E9E9"|1.6|width="40" align="right" style="background-color:#E9E9E9"|47|width="40" align="right" style="background-color:#E9E9E9"|47|width="40" align="right" style="background-color:#E9E9E9"|0|width="40" align="right" style="background-color:#E9E9E9"|100.00|width="40" align="right" style="background-color:#E9E9E9"|0.0|width="40" align="right" style="background-color:#E9E9E9"|—|-|colspan=2|Blank ballots||1,116||0.87||0.2||colspan=6 rowspan=3||-|colspan=2|Invalid ballots||4,323||3.39||1.5|-|colspan=2 align=left style="background-color:#E9E9E9"|Total (turnout 49.58%)|width="50" align="right" style="background-color:#E9E9E9"|127,539|width="40" align="right" style="background-color:#E9E9E9"|100.00|width="40" align="right" style="background-color:#E9E9E9"|7.8|-| colspan=11 align=left|

text: All Player/Missile objects' pixels and all Playfield pixels in the default CTIA/GTIA color interpretation mode use indirection to specify color.  Indirection means that the values of the pixel data do not directly specify the color, but point to another source of information for color.  CTIA/GTIA contain hardware registers that set the values used for colors, and the pixels' information refer to these registers.  The palette on the Atari is 8 luminance levels of 16 colors for a total 128 colors.  The color indirection flexibility allows a program to tailor the screen's colors to fit the purpose of the program's display.

text: The earliest known pigments were natural minerals. Natural iron oxides give a range of colors and are found in many Paleolithic and Neolithic cave paintings. Two examples include Red Ochre, anhydrous FeO, and the hydrated Yellow Ochre (FeOHO). Charcoal, or carbon black, has also been used as a black pigment since prehistoric times.

text: The earliest known pigments were natural minerals. Natural iron oxides give a range of colors and are found in many

text: Paleolithic

text: and

text: Neolithic

text: cave paintings. Two examples include Red Ochre, anhydrous FeO, and the hydrated Yellow Ochre (FeOHO). Charcoal, or carbon black, has also been used as a black pigment since prehistoric times.

text: The concept of adapting ambient light with a video display already existed, but proposed solutions required a separate channel for the light effects in addition to the video and audio channels. Ambilight uses the video channel itself to generate color and the concepts as well as various methods of calculating the color from the video signal are protected by various patents.

text: "Transparent" colors do not contain titanium dioxide (white) or most of the earth pigments (sienna, umber, etc.) which are very opaque. The 19th-century claim that "transparent" watercolors gain "luminosity" because they function like a pane of stained glass laid on paper  – the color intensified because the light passes through the pigment, reflects from the paper, and passes a second time through the pigment on its way to the viewer—is false: watercolor paints do not form a cohesive paint layer, as do acrylic or oil paints, but simply scatter pigment particles randomly across the paper surface; the transparency consists in the paper being directly visible between the particles. Watercolors appear more vivid than acrylics or oils because the pigments are laid down in a more pure form with no or fewer fillers (such as kaolin) obscuring the pigment colors. Furthermore, typically most or all of the gum binder will be absorbed by the paper, preventing it from changing the visibility of the pigment. Even multiple layers of watercolor do achieve a very luminous effect without fillers or binder obscuring the pigment particles.

text: "Transparent" colors do not contain

text: titanium dioxide

text: (white) or most of the

text: earth pigments

text: sienna

text: umber

text: , etc.) which are very opaque. The 19th-century claim that "transparent" watercolors gain "luminosity" because they function like a pane of stained glass laid on paper  – the color intensified because the light passes through the pigment, reflects from the paper, and passes a second time through the pigment on its way to the viewer—is false: watercolor paints do not form a cohesive paint layer, as do

text: acrylic

text: or

text: oil

text: paints, but simply scatter

text: pigment

text: particles randomly across the

text: paper

text: surface; the transparency consists in the paper being directly visible between the particles. Watercolors appear more vivid than acrylics or oils because the pigments are laid down in a more pure form with no or fewer fillers (such as kaolin) obscuring the pigment colors. Furthermore, typically most or all of the gum binder will be absorbed by the paper, preventing it from changing the visibility of the pigment. Even multiple layers of watercolor do achieve a very luminous effect without fillers or binder obscuring the pigment particles.

text: For many power distributions of natural light, the set of spectra mapping to the same color perception also includes a stimulus that is a narrow band at a single frequency; i.e. a pure spectral light (usually with some flat spectrum white light added to desaturate).  The wavelength of this pure spectral light that will evoke the same color perception as the given complicated light mixture is the dominant wavelength of that mixture.

text: The opponent process is a color theory that states that the human visual system interprets information about color by processing signals from cones and rods in an antagonistic manner.  The three types of cones have some overlap in the wavelengths of light to which they respond, so it is more efficient for the visual system to record differences between the responses of cones, rather than each type of cone's individual response. The opponent color theory suggests that there are three opponent channels: red versus green, blue versus yellow and black versus white. Responses to one color of an opponent channel are antagonistic to those of the other color. The theory states that the particular colors considered by an observer to be uniquely representative of the concepts red, yellow, green, blue, white and black might be called "psychological primary colors", because any other color could be described in terms of some combination of these.

text: The

text: opponent process

text: is a color theory that states that the human

text: visual system

text: interprets information about

text: color

text: by processing signals from

text: cones

text: and

text: rods

text: in an antagonistic manner.  The three types of cones have some overlap in the

text: wavelengths

text: of

text: light

text: red

text: versus

text: green

text: blue

text: versus

text: yellow

text: and

text: black

text: versus

text: white

text: . Responses to one color of an opponent channel are antagonistic to those of the other color. The theory states that the particular colors considered by an observer to be uniquely representative of the concepts red, yellow, green, blue, white and black might be called "psychological primary colors", because any other color could be described in terms of some combination of these.

text: The first color photograph made according to Maxwell's prescription, a set of three monochrome "color separations", was taken by Thomas Sutton in 1861 for use in illustrating a lecture on color by Maxwell, where it was shown in color by the triple projection method. The test subject was a bow made of ribbon with stripes of various colors, apparently including red and green. During the lecture, which was about physics and physiology, not photography, Maxwell commented on the inadequacy of the results and the need for a photographic material more sensitive to red and green light. A century later, historians were mystified by the reproduction of any red at all, because the photographic process used by Sutton was for all practical purposes totally insensitive to red light and only marginally sensitive to green. In 1961, researchers found that many red dyes also reflect ultraviolet light, coincidentally transmitted by Sutton’s red filter, and surmised that the three images were probably due to ultra-violet, blue-green and blue wavelengths, rather than to red, green and blue.<ref>R.W.G. Hunt (2004). The Reproduction of Colour, 6th edition. Wiley. pp 9–10.<br>R.M. Evans (1961a). “Some Notes on Maxwell’s Colour Photograph.” Journal of Photographic Science 9. pp243–246

text: The first color photograph made according to Maxwell's prescription, a set of three monochrome "

text: color separation

text: s", was taken by

text: Thomas Sutton

text: in 1861 for use in illustrating a lecture on color by Maxwell, where it was shown in color by the triple projection method. The test subject was a bow made of ribbon with stripes of various colors, apparently including red and green. During the lecture, which was about physics and physiology, not photography, Maxwell commented on the inadequacy of the results and the need for a photographic material more sensitive to red and green light. A century later, historians were mystified by the reproduction of any red at all, because the photographic process used by Sutton was for all practical purposes totally insensitive to red light and only marginally sensitive to green. In 1961, researchers found that many red dyes also reflect ultraviolet light, coincidentally transmitted by Sutton’s red filter, and surmised that the three images were probably due to ultra-violet, blue-green and blue wavelengths, rather than to red, green and blue.<ref>R.W.G. Hunt (2004). The Reproduction of Colour, 6th edition. Wiley. pp 9–10.<br>R.M. Evans (1961a). “Some Notes on Maxwell’s Colour Photograph.” Journal of Photographic Science 9. pp243–246

text: Thierry et al. studied how having different words for different colors in one language might affect the perception of that color as compared to a language that does not discriminate between those colors. In Greek, "light blue" is distinguished from "blue", not simply as a different shade but as a whole different category of color. In this study, bilingual and monolingual Greek/English participants were shown different shades of blue and light blue as well as green and light green (for which a distinction is not made in Greek) and ERPs were recorded. Electrophysiological measures showed a distinct pattern for the bilinguals indicating that they were perceiving the two colors as completely separate.

text: Further investigation of this related subject found Brücke examining the color changes in chameleons and cephalopods, then studying pigment cells, and observing how muscular contraction is influenced by the duration of a stimulus.

text: Further investigation of this related subject found Brücke examining the color changes in chameleons and

text: cephalopods

text: , then studying pigment cells, and observing how muscular contraction is influenced by the duration of a stimulus.

text: A color tool is used to preview and test color values. In graphic design and image editing, users typically choose colors via an interface with a visual representation of a color – often organized with quasi-perceptually-relevant hue, lightness, and saturation dimensions (HLS) – instead of keying in alphanumeric text values. Because color appearance depends on comparison of neighboring colors (see color vision), many interfaces attempt to clarify the relationships between colors.

text: A color tool is used to preview and test color values. In

text: graphic design

text: and

text: image editing

text: , users typically choose colors via an interface with a visual representation of a color – often organized with quasi-perceptually-relevant

text: hue

text: lightness

text: , and

text: saturation

text: dimensions (

text: HLS

text: ) – instead of keying in

text: alphanumeric

text: text values. Because color appearance depends on comparison of neighboring colors (see

text: color vision

text: ), many interfaces attempt to clarify the relationships between colors.

text: A color palette must be defined in order to show graphics on the screen. It is stored in a separate 32 byte location in RAM, known as "palette-RAM". Each entry here picks a color from the hardware color palette, which are the predefined colors to choose between. 16 colors can be chosen for sprites, and 16 colors for backgrounds. However, bytes 4, 8 and 12 of the sprite palette, and bytes 0, 4, 8, and 12 of the background palette, are not in use by the PPU. Therefore, the number of actually usable colors is reduced to 25 instead of 32. The first byte of the sprite palette also defines the global background color for both sprites and the background.

text: Aerial perspective or atmospheric perspective refers to the effect the atmosphere has on the appearance of an object as it is viewed from a distance. As the distance between an object and a viewer increases, the contrast between the object and its background decreases, and the contrast of any markings or details within the object also decreases. The colours of the object also become less saturated and shift towards the background color, which is usually blue, but under some conditions may be some other color (for example, at sunrise or sunset distant colors may shift towards red).

text: Aerial perspective or atmospheric perspective refers to the effect the atmosphere has on the appearance of an object as it is viewed from a distance. As the distance between an object and a viewer increases, the

text: contrast

text: between the object and its background decreases, and the contrast of any markings or details within the object also decreases. The colours of the object also become less

text: saturated

text: and shift towards the background color, which is usually blue, but under some conditions may be some other color (for example, at sunrise or sunset distant colors may shift towards red).

text: Sound-color synesthesia is far more common than color-sound synesthesia, although there are reported cases where sounds and colors activate bidirectionally. One individual, JR, sees colors when she hears sounds and also hears sounds when she sees colors. This type of synesthesia interferes greatly with daily life. It is interesting to note that this individual's associations were highly consistent over time, but the associations were not necessarily the same in either direction.

text: Red hair varies in hues from a deep burgundy or bright copper (reddish-brown or auburn) through to burnt orange or red-orange and strawberry blond. It is characterized by high levels of the reddish pigment pheomelanin and relatively low levels of the dark pigment eumelanin.  It is associated with fair skin color, lighter eye colors (gray, blue, green, and hazel), freckles, and sensitivity to ultraviolet light.

text: Red hair varies in hues from a deep

text: burgundy

text: or bright

text: copper

text: (reddish-brown or

text: auburn

text: ) through to

text: burnt orange

text: or

text: red-orange

text: and

text: strawberry blond

text: . It is characterized by high levels of the reddish pigment

text: pheomelanin

text: and relatively low levels of the dark pigment

text: eumelanin

text: .  It is associated with

text: fair skin color

text: , lighter

text: eye color

text: s (gray, blue, green, and hazel),

text: freckle

text: s, and sensitivity to

text: ultraviolet light

text: In the 1940s, the company began developing a new class of pigments called daylight fluorescent pigments that fluoresce in daylight. These pigments convert ultraviolet light to visible light, resulting in color that is comparatively brighter than other types of pigments. This class of pigments is also known as DayGlo.

text: Most wavelengths stimulate two or all three types of cone cell, because the spectral sensitivity curves of the three types of cone cells overlap. Certain tristimulus values are thus physically impossible (for instance LMS tristimulus values that are non-zero for the M component, and zero for both L and S). Furthermore, LMS tristimulus values for pure spectral colors would, in any normal trichromatic additive color space (e.g. RGB color spaces), imply negative values for at least one of the three primaries, since the chromaticity would be outside the color triangle defined by the primary colors. To avoid these negative RGB values, and to have one component that describes the perceived brightness, "imaginary" primary colors and corresponding color-matching functions have been formulated. The resulting tristimulus values are defined by the CIE 1931 color space, in which they are denoted X, Y, and Z. In XYZ space, all combinations of nonnegative coordinates are meaningful, but many such as the primary locations [1, 0, 0], [0, 1, 0], and [0, 0, 1] correspond to imaginary colors outside the space of possible LMS coordinates; imaginary colors do not correspond to any spectral distribution of wavelengths, so have no physical reality.

text: Most wavelengths stimulate two or all three types of cone cell, because the spectral sensitivity curves of the three types of cone cells overlap. Certain tristimulus values are thus physically impossible (for instance LMS tristimulus values that are non-zero for the M component, and zero for both L and S). Furthermore, LMS tristimulus values for pure spectral colors would, in any normal trichromatic additive color space (e.g.

text: RGB color space

text: s), imply negative values for at least one of the three

text: primaries

text: , since the

text: chromaticity

text: would be outside the

text: color triangle

text: defined by the primary colors. To avoid these negative RGB values, and to have one component that describes the perceived

text: brightness

text: , "imaginary" primary colors and corresponding color-matching functions have been formulated. The resulting tristimulus values are defined by the CIE 1931 color space, in which they are denoted X, Y, and Z. In XYZ space, all combinations of nonnegative coordinates are meaningful, but many such as the primary locations [1, 0, 0], [0, 1, 0], and [0, 0, 1] correspond to imaginary colors outside the space of possible LMS coordinates; imaginary colors do not correspond to any spectral distribution of wavelengths, so have no physical reality.

text: |- align="center" bgcolor=""|  || style="background:#FF8800;color:#423189;" | 3 || style="background:#FF8800;color:#423189;" | 3 || 28.0 || .469 || . || .714 || 6.0 || 4.7 || .7 || 1.7 || 11.7|- align="center" bgcolor="#f0f0f0"|  || style="background:#FF8800;color:#423189;" | 3 || style="background:#FF8800;color:#423189;" | 3 || style="background:#FF8800;color:#423189;" | 37.7 || .435 || style="background:#FF8800;color:#423189;" | .500 || .810 || 5.0 || 4.3 || style="background:#FF8800;color:#423189;" | 2.0 || 1.7 || style="background:#FF8800;color:#423189;" | 26.0|- align="center" bgcolor=""|  || style="background:#FF8800;color:#423189;" | 3 || 0 || 18.0 || .423 || . || style="background:#FF8800;color:#423189;" | 1.000 || 6.0 || 1.3 || .3 || .3 || 9.3|- align="center" bgcolor="#f0f0f0"|  || style="background:#FF8800;color:#423189;" | 3 || 0 || 15.0 || .455 || .000 || .000 || 3.3 || 2.0 || 1.0 || .3 || 3.3|- align="center" bgcolor=""|  || style="background:#FF8800;color:#423189;" | 3 || style="background:#FF8800;color:#423189;" | 3 || 36.0 || .458 || .000 || .833 || 7.7 || style="background:#FF8800;color:#423189;" | 5.7 || 1.7 || .7 || 18.0|- align="center" bgcolor="#f0f0f0"|  || 2 || 0 || 3.0 || .000 || . || . || 0.0 || 0.0 || .0 || .0 || 0.0|- align="center" bgcolor=""|  || 2 || 2 || 28.5 || style="background:#FF8800;color:#423189;" | .571 || . || .500 || 6.0 || 4.0 || 1.5 || .0 || 13.0|- align="center" bgcolor="#f0f0f0"|  || style="background:#FF8800;color:#423189;" | 3 || 0 || 24.0 || .429 || .000 || .714 || 2.7 || 3.0 || .3 || .0 || 11.7|- align="center" bgcolor=""|  || style="background:#FF8800;color:#423189;" | 3 || style="background:#FF8800;color:#423189;" | 3 || 34.3 || .400 || . || .800 || style="background:#FF8800;color:#423189;" | 8.3 || 1.0 || 1.0 || style="background:#FF8800;color:#423189;" | 2.0 || 12.0|- align="center" bgcolor="#f0f0f0"|  || 1 || 0 || 1.0 || . || . || . || 0.0 || 0.0 || .0 || .0 || 0.0|- align="center" bgcolor=""|  || style="background:#FF8800;color:#423189;" | 3 || 1 || 20.7 || .462 || . || style="background:#FF8800;color:#423189;" | 1.000 || 4.0 || 1.7 || .7 || 1.7 || 4.7|- align="center" bgcolor="#f0f0f0"|  || style="background:#FF8800;color:#423189;" | 3 || 0 || 13.3 || .500 || .000 || .500 || 3.3 || 0.0 || .0 || .0 || 5.3|}

text: Dedicated regions of the brain are specialized for given functions. Increased cross-talk between regions specialized for different functions may account for the many types of synesthesia. For example, the additive experience of seeing color when looking at graphemes might be due to cross-activation of the grapheme-recognition area and the color area called V4 (see figure). This is supported by the fact that grapheme-color synesthetes are able to identify the color of a grapheme in their peripheral vision even when they cannot consciously identify the shape of the grapheme.

text: Dedicated regions of the brain are specialized for given functions. Increased cross-talk between regions specialized for different functions may account for the many types of synesthesia. For example, the additive experience of seeing color when looking at graphemes might be due to cross-activation of the grapheme-recognition area and the color area called

text: (see figure). This is supported by the fact that grapheme-color synesthetes are able to identify the color of a grapheme in their peripheral vision even when they cannot consciously identify the shape of the grapheme.

text: Many of the vectorization programs will group same-color pixels into lines, curves, or outlined shapes.  If each possible color is grouped into its own object, there can be an enormous number of objects. Instead, the user is asked to select a finite number of colors (usually less than 256), the image is reduced to using that many colors (this step is color quantization), and then the vectorization is done on the reduced image. For continuous tone images such as photographs, the result of color quantization is posterization. Gradient fills will also be posterized.

text: Many of the vectorization programs will group same-color pixels into lines, curves, or outlined shapes.  If each possible color is grouped into its own object, there can be an enormous number of objects. Instead, the user is asked to select a finite number of colors (usually less than 256), the image is reduced to using that many colors (this step is

text: color quantization

text: ), and then the vectorization is done on the reduced image. For continuous tone images such as photographs, the result of color quantization is

text: posterization

text: . Gradient fills will also be posterized.

text: Cerebral achromatopsia, also known as Color agnosia, is a category-specific semantic impairment pertaining to semantic color associations, such that individuals retain perceptual abilities for distinguishing color, demonstrated through color categorization or hue perception tasks; however knowledge of typical color-object relationships is defective.  Color agnostics are assessed on performance coloring in black and white images of common items or identifying abnormally colored objects within a set of images.  For example, a color agnostic may not identify a blue banana as being improperly colored.

text: Cerebral achromatopsia

text: , also known as Color agnosia, is a category-specific semantic impairment pertaining to semantic color associations, such that individuals retain perceptual abilities for distinguishing color, demonstrated through color categorization or

text: hue

text: perception tasks; however knowledge of typical color-object relationships is defective.  Color agnostics are assessed on performance coloring in black and white images of common items or identifying abnormally colored objects within a set of images.  For example, a color agnostic may not identify a blue banana as being improperly colored.

text: Nothing categorically distinguishes the visible spectrum of electromagnetic radiation from invisible portions of the broader spectrum.  In this sense, color is not a property of electromagnetic radiation, but a feature of visual perception by an observer.  Furthermore, there is an arbitrary mapping between wavelengths of light in the visual spectrum and human experiences of color.  Although most people are assumed to have the same mapping, the philosopher John Locke recognized that alternatives are possible, and described one such hypothetical case with the "inverted spectrum" thought experiment.  For example, someone with an inverted spectrum might experience green while seeing 'red' (700 nm) light, and experience red while seeing 'green' (530 nm) light.  Synesthesia (or ideasthesia) provides some atypical but illuminating examples of subjective color experience triggered by input that is not even light, such as sounds or shapes.  The possibility of a clean dissociation between color experience from properties of the world reveals that color is a subjective psychological phenomenon.

text: Nothing categorically distinguishes the visible spectrum of electromagnetic radiation from invisible portions of the broader spectrum.  In this sense, color is not a property of electromagnetic radiation, but a feature of visual perception by an observer.  Furthermore, there is an arbitrary mapping between wavelengths of light in the visual spectrum and human experiences of color.  Although most people are assumed to have the same mapping, the philosopher

text: John Locke

text: recognized that alternatives are possible, and described one such hypothetical case with the "inverted spectrum" thought experiment.  For example, someone with an inverted spectrum might experience green while seeing 'red' (700 nm) light, and experience red while seeing 'green' (530 nm) light.

text: Synesthesia

text: (or

text: ideasthesia

text: ) provides some atypical but illuminating examples of subjective color experience triggered by input that is not even light, such as sounds or shapes.  The possibility of a clean dissociation between color experience from properties of the world reveals that color is a subjective psychological phenomenon.

text: Chapter 9. Objections and evidence bearing on the theory of concealing coloration.

text: The color electric indigo is a bright and saturated color between the traditional indigo and violet. This is the brightest color indigo that can be approximated on a computer screen—it is a color located between the (primary) blue and the color violet of the RGB color wheel.

text: The color electric indigo is a bright and

text: saturated

text: color between the traditional indigo and violet. This is the

text: brightest

text: color indigo that can be approximated on a computer screen—it is a color located between the (primary) blue and the color

text: violet

text: of the RGB color wheel.

text: Auburn hair is a variety of red hair, most commonly described as reddish-brown in color or dark ginger. Auburn hair ranges in shades from medium to dark. It is common with a wide array of skin tones and eye colors, but as is the case with most brown hair, it is commonly associated with light skin features. The chemical pigments that cause the coloration of auburn hair are frequently pheomelanin with high levels of eumelanin, however the auburn hair is due to a mutated melanocortin 1 receptor gene in the people of Northwestern European descent and by a mutated TYRP1 gene in the Austronesians, both genes that reduce the melanin production of the hair cells.

text: Auburn hair is a variety of

text: red hair

text: , most commonly described as

text: red

text: dish-

text: brown

text: in

text: color

text: or dark ginger. Auburn

text: hair

text: ranges in shades from medium to dark. It is common with a wide array of skin tones and eye colors, but as is the case with most brown hair, it is commonly associated with light skin features. The chemical pigments that cause the coloration of auburn hair are frequently

text: pheomelanin

text: with high levels of

text: eumelanin

text: , however the auburn hair is due to a mutated

text: melanocortin 1 receptor

text: gene in the people of Northwestern European descent and by a mutated

text: gene in the

text: Austronesians

text: , both genes that reduce the melanin production of the hair cells.

text: Additive color is light created by mixing together light of two or more different colors. Red, green, and blue are the additive primary colors normally used in additive color systems such as projectors and computer terminals.

text: Additive color

text: is light created by mixing together

text: light

text: of two or more different colors.

text: Red

text: green

text: , and

text: blue

text: are the additive

text: primary color

text: s normally used in additive color systems such as projectors and computer terminals.

text: The prisoners pair off. In a pair (A,B) of the prisoners A says the color he can see on the head of B, who says the opposite color he sees on the head of A. Then, if both wear hats with the same color, A is released (and B is not), if the colors are different, B is released (and A is not). In total, 5 prisoners answer correctly and 5 do not.  This assumes the pair can communicate who is A and who is B, which may not be allowed.

text: In some other color models, such as the HSV color space, the neutral colors (white, greys, and black) lie along a central axis. Complementary colors (as defined in HSV) lie opposite each other on any horizontal cross-section. For example, in the CIE 1931 color space a color of a  "dominant" wavelength can be mixed with an amount of the complementary wavelength to produce a neutral color (gray or white).

text: In some other color models, such as the

text: HSV color space

text: , the neutral colors (white, greys, and black) lie along a central axis. Complementary colors (as defined in HSV) lie opposite each other on any horizontal cross-section. For example, in the

text: CIE 1931 color space

text: a color of a  "

text: dominant

text: " wavelength can be mixed with an amount of the

text: complementary wavelength

text: to produce a neutral color (gray or white).

text: Colors that can be produced by visible light of a narrow band of wavelengths (monochromatic light) are called pure spectral colors. The various color ranges indicated in the illustration are an approximation: The spectrum is continuous, with no clear boundaries between one color and the next.

text: Colors that can be produced by visible light of a narrow band of wavelengths (monochromatic light) are called

text: pure spectral colors

text: . The various color ranges indicated in the illustration are an approximation: The spectrum is continuous, with no clear boundaries between one color and the next.

text: The color of individual eggs is also genetically influenced, and appears to be inherited through the mother only, suggesting the gene responsible for pigmentation is on the female-specific W chromosome (female birds are WZ, males are ZZ).

text: The color of individual eggs is also genetically influenced, and appears to be inherited through the mother only, suggesting the

text: gene

text: responsible for pigmentation is on the female-specific

text: W chromosome

text: (female birds are WZ, males are ZZ).

text: Many people feel colored objects appeal to the pattern recognition section of the brain.  Others advocate that you can begin a modeling process with a stack of four-color note cards or colored sticky notes.

text: Extraneous colors appearing at the edges of colored objects, and differing from the true colors in the object.

text: Results obtained when mixing additive colors are often counterintuitive for people accustomed to the subtractive color system of pigments, dyes, inks and other substances that present color to the eye by reflection rather than emission. For example, in subtractive color systems, green is a combination of yellow and cyan; in additive color, red plus green makes yellow. Additive color is a result of the way the eye detects color, and is not a property of light. There is a vast difference between a pure spectral yellow light, with a wavelength of approximately 580 nm, and a mixture of red and green light. However, both stimulate our eyes in a similar manner, so we do not detect that difference, and both are yellow light to the human eye. (see eye (cytology), color vision.)

text: Results obtained when mixing additive colors are often counterintuitive for people accustomed to the subtractive color system of pigments, dyes, inks and other substances that present color to the eye by reflection rather than

text: emission

text: . For example, in subtractive color systems, green is a combination of yellow and cyan; in additive color, red plus green makes yellow. Additive color is a result of the way the

text: eye

text: detects color, and is not a property of light. There is a vast difference between a pure spectral yellow light, with a wavelength of approximately 580 nm, and a mixture of red and green light. However, both stimulate our eyes in a similar manner, so we do not detect that difference, and both are yellow light to the human eye. (see

text: eye (cytology)

text: color vision

text: The characteristic colours are, from long to short wavelengths (and, correspondingly, from low to high frequency), red, orange, yellow, green, blue, indigo, and violet. Sufficient differences in wavelength cause a difference in the perceived hue; the just-noticeable difference in wavelength varies from about 1 nm in the blue-green and yellow wavelengths, to 10 nm and more in the longer red and shorter blue wavelengths. Although the human eye can distinguish up to a few hundred hues, when those pure spectral colours are mixed together or diluted with white light, the number of distinguishable chromaticities can be quite high.

text: The characteristic colours are, from long to short wavelengths (and, correspondingly, from low to high frequency), red, orange, yellow, green, blue, indigo, and violet. Sufficient differences in wavelength cause a difference in the perceived

text: hue

text: ; the

text: just-noticeable difference

text: in wavelength varies from about 1

text: nm

text: in the

text: blue-green

text: and

text: yellow

text: wavelengths, to 10 nm and more in the longer red and shorter blue wavelengths. Although the human eye can distinguish up to a few hundred hues, when those pure

text: spectral colour

text: s are mixed together or diluted with white light, the number of distinguishable

text: chromaticities

text: can be quite high.

text: ! style="background-color:#DDDDFF" width="160px" | Stadium! style="background-color:#DDDDFF" width="71px" | Attendance! style="background-color:#DDDDFF" width="53px" | Record! style="background-color:#DDDDFF" width="42px" | GB|- style="background-color:#bbffbb"| 1 || April 2 || Rangers || 4–1 || Lackey (1–0) || Millwood (0–1) || Rodríguez (1) || Angel Stadium of Anaheim || 43,906 || 1–0 || style="background-color:#f2f2f2;" | 0|- style="background-color:#bbffbb"| 2 || April 3 || Rangers || 8–3 || Escobar (1–0) || Padilla (0–1) || || Angel Stadium of Anaheim || 42,463 || 2–0 || style="background-color:#f2f2f2;" | 0|- style="background-color:#bbffbb"| 3 || April 4 || Rangers || 5–3 || Santana (1–0) || McCarthy (0–1) || Rodríguez (2) || Angel Stadium of Anaheim || 35,701 || 3–0 || style="background-color:#bbffbb;" | +1|- style="background-color:#ffbbbb"| 4 || April 5 || Athletics || 4–3 || Duchscherer (1–0) || Rodríguez (0–1) || Street (1) || Angel Stadium of Anaheim || 39,234 || 3–1 || style="background-color:#bbffbb;" | +½|- style="background-color:#bbffbb"| 5 || April 6 || Athletics || 5–2 || Moseley (1–0) || Kennedy (0–1) || Rodríguez (3) || Angel Stadium of Anaheim || 43,534 || 4–1 || style="background-color:#bbffbb;" | +1|- style="background-color:#bbffbb"| 6 || April 7 || Athletics || 2–1 || Lackey (2–0) || Haren (0–2) || Shields (1) || Angel Stadium of Anaheim || 44,007 || 5–1 || style="background-color:#bbffbb;" | +1½|- style="background-color:#ffbbbb"| 7 || April 8 || Athletics || 2–1 || Blanton (1–0) || Escobar (1–1) || Street (2) || Angel Stadium of Anaheim || 37,783 || 5–2 || style="background-color:#bbffbb;" | +1|- style="background-color:#ffbbbb"| 8 || April 10 || @ Indians || 7–6 || Sabathia (2–0) || Santana (1–1) || Borowski (2) || Miller Park || 19,031 || 5–3 || style="background-color:#bbffbb;" | +1|- style="background-color:#bbffbb"| 9 || April 11 || @ Indians || 4–1 || Saunders (1–0) || Westbrook (0–1) || Rodríguez (4) || Miller Park || 16,375 || 6–3 || style="background-color:#bbffbb;" | +1|- style="background-color:#ffbbbb"| 10 || April 12 || @ Indians || 4–2 || Fultz (2–0) || Shields (0–1) || Borowski (3) || Miller Park || 17,090 || 6–4 || style="background-color:#bbffbb;" | +½|- style="background-color:#ffbbbb"| 11 || April 13 || @ Red Sox || 10–1 || Wakefield (1–1) || Lackey (2–1) || || Fenway Park || 35,946 || 6–5 || style="background-color:#bbffbb;" | +½|- style="background-color:#ffbbbb"| 12 || April 14 || @ Red Sox || 8–0 || Schilling (2–1) || Carrasco (0–1) || || Fenway Park || 36,300 || 6–6 || style="background-color:#ffbbbb;" | -½|- style="background-color:#bbbbbb"| || April 15 || @ Red Sox || colspan=4|Postponed (rain) Rescheduled for August 17 || Fenway Park || || 6–6 || style="background-color:#ffbbbb;" | -1|- style="background-color:#ffbbbb"| 13 || April 16 || @ Red Sox || 7–2 || Beckett (3–0) || Santana (1–2) || || Fenway Park || 35,424 || 6–7 || style="background-color:#ffbbbb;" | -1½|- style="background-color:#ffbbbb"| 14 || April 17 || @ Athletics || 4–1 || Gaudin (1–0) || Weaver (0–1) || Street (3) || McAfee Coliseum || 20,174 || 6–8 || style="background-color:#ffbbbb;" | -1½|- style="background-color:#ffbbbb"| 15 || April 18 || @ Athletics || 3–0 || Haren (1–2) || Lackey (2–2) || Street (4) || McAfee Coliseum || 17,322 || 6–9 || style="background-color:#ffbbbb;" | -2|- style="background-color:#bbffbb"| 16 || April 20 || Mariners || 8–4 || Saunders (2–0) || Batista (1–2) || Rodríguez (5) || Angel Stadium of Anaheim || 43,359 || 7–9 || style="background-color:#ffbbbb;" | -2|- style="background-color:#bbffbb"| 17 || April 21 || Mariners || 7–6 || Colón (1–0) || Ramírez (1–1) || Rodríguez (6) || Angel Stadium of Anaheim || 41,752 || 8–9 || style="background-color:#ffbbbb;" | -1|- style="background-color:#bbffbb"| 18 || April 22 || Mariners || 6–1 || Santana (2–2) || Weaver, Jeff (0–3) || || Angel Stadium of Anaheim || 43,628 || 9–9 || style="background-color:#f2f2f2;" | 0|- style="background-color:#ffbbbb"| 19 || April 23 || Tigers || 9–5 || Grilli (2–1) || Weaver (0–2) || || Angel Stadium of Anaheim || 40,563 || 9–10 || style="background-color:#ffbbbb;" | -1|- style="background-color:#bbffbb"| 20 || April 24 || Tigers || 9–8 (10) || Moseley (2–0) || Jones (0–1) || || Angel Stadium of Anaheim || 36,055 || 10–10 || style="background-color:#ffbbbb;" | -1|- style="background-color:#bbffbb"| 21 || April 25 || Devil Rays || 9–1 || Lackey (3–2) || Jackson (0–3) || || Angel Stadium of Anaheim || 36,850 || 11–10 || style="background-color:#f2f2f2;" | 0|- style="background-color:#bbffbb"| 22 || April 26 || Devil Rays || 11–3 || Colón (2–0) || Seo (1–2) || || Angel Stadium of Anaheim || 35,597 || 12–10 || style="background-color:#bbffbb;" | +1|- style="background-color:#ffbbbb"| 23 || April 27 || @ White Sox || 7–3 || Contreras (2–2) || Santana (2–3) || || U.S. Cellular Field || 30,193 || 12–11 || style="background-color:#bbffbb;" | +½|- style="background-color:#bbffbb"| 24 || April 28 || @ White Sox || 3–0 || Weaver (1–2) || Garland (0–2) || Rodríguez (7) || U.S. Cellular Field || 38,208 || 13–11 || style="background-color:#bbffbb;" | +1|- style="background-color:#bbffbb"| 25 || April 29 || @ White Sox || 5–2 || Escobar (1–0) || Buehrle (2–1) || Rodríguez (8) || U.S. Cellular Field || 38,513 || 14–11 || style="background-color:#bbffbb;" | +1½|- style="background-color:#bbffbb"| 26 || April 30 || @ Royals || 3–1 || Lackey (4–2) || Pérez (2–3) || Rodríguez (9) || Kauffman Stadium || 10,866 || 15–11 || style="background-color:#bbffbb;" | +2! style="background-color:#DDDDFF" width="160px" | Stadium! style="background-color:#DDDDFF" width="71px" | Attendance! style="background-color:#DDDDFF" width="53px" | Record! style="background-color:#DDDDFF" width="42px" | GB|- style="background-color:#bbffbb"| 27 || May 1 || @ Royals || 7–5 || Colón (3–0) || Greinke (1–3) || Rodríguez (10) || Kauffman Stadium || 11,225 || 16–11 || style="background-color:#bbffbb;" | +2|- style="background-color:#ffbbbb"| 28 || May 2 || @ Royals || 3–1 || de la Rosa (3–2) || Santana (2–4) || Soria (4) || Kauffman Stadium || 9,697 || 16–12 || style="background-color:#bbffbb;" | +1|- style="background-color:#ffbbbb"| 29 || May 3 || @ Royals || 5–2 || Meche (3–1) || Weaver (1–3) ||Soria (5) || Kauffman Stadium || 12,683 || 16–13 || style="background-color:#bbffbb;" | +1|- style="background-color:#bbffbb"| 30 || May 4 || White Sox || 5–1 || Escobar (3–1) || Contreras (2–3) || Shields (2) || Angel Stadium of Anaheim || 44,126 || 17–13 || style="background-color:#bbffbb;" | +1|- style="background-color:#ffbbbb"| 31 || May 5 || White Sox || 6–3 || Garland (1–2) || Lackey (4–3) || Jenks (9) || Angel Stadium of Anaheim || 42,574 || 17–14 || style="background-color:#bbffbb;" | +1|- style="background-color:#ffbbbb"| 32 || May 6 || White Sox || 4–3 (10) || Thornton (2–1) || Rodríguez (0–2) || Jenks (10) || Angel Stadium of Anaheim || 42,017 || 17–15 || style="background-color:#bbffbb;" | +1|- style="background-color:#ffbbbb"| 33 || May 8 || Indians || 5–1 || Lee (1–0) || Santana (2–5) || || Angel Stadium of Anaheim || 41,731 || 17–16 || style="background-color:#f2f2f2;" | 0|- style="background-color:#bbffbb"| 34 || May 9 || Indians || 3–2 || Moseley (3–0) || Cabrera (1–2) || Rodríguez (11) || Angel Stadium of Anaheim || 40,007 || 18–16 || style="background-color:#bbffbb;" | +½|- style="background-color:#bbffbb"| 35 || May 10 || Indians || 8–0 || Escobar (4–1) || Sowers (0–3) || || Angel Stadium of Anaheim || 33,698 || 19–16 || style="background-color:#bbffbb;" | +1|- style="background-color:#bbffbb"| 36 || May 11 || @ Rangers || 6–3 || Lackey (5–3) || Padilla (1–5) || Shields (3) || Ameriquest Field in Arlington || 30,782 || 20–16 || style="background-color:#bbffbb;" | +1|- style="background-color:#bbffbb"| 37 || May 12 || @ Rangers || 6–3 || Colón (4–0) || Loe (1–3) || Rodríguez (12) || Ameriquest Field in Arlington || 36,474 || 21–16 || style="background-color:#bbffbb;" | +2|- style="background-color:#ffbbbb"| 38 || May 13 || @ Rangers || 7–6 || Gagné (1–0) || Shields (0–2) || || Ameriquest Field in Arlington || 24,847 || 21–17 || style="background-color:#bbffbb;" | +1|- style="background-color:#bbffbb"| 39 || May 14 || @ Rangers || 7–2 || Weaver (2–3) || Millwood (2–4) || || Ameriquest Field in Arlington || 23,421 || 22–17 || style="background-color:#bbffbb;" | +2|- style="background-color:#ffbbbb"| 40 || May 15 || @ Mariners || 11–3 || White (1–0) || Escobar (4–2) || || Safeco Field || 21,769 || 22–18 || style="background-color:#bbffbb;" | +1|- style="background-color:#bbffbb"| 41 || May 16 || @ Mariners || 5–0 || Lackey (6–3) || Baek (1–1) || || Safeco Field || 22,331 || 23–18 || style="background-color:#bbffbb;" | +2|- style="background-color:#bbffbb"| 42 || May 17 || @ Mariners || 7–3 || Colón (5–0) || Washburn (3–4) || || Safeco Field || 20,488 || 24–18 || style="background-color:#bbffbb;" | +3|- style="background-color:#bbffbb"| 43 || May 18 || Dodgers || 9–1 || Santana (3–5) || Penny (5–1) || || Angel Stadium of Anaheim || 44,342 || 25–18 || style="background-color:#bbffbb;" | +3|- style="background-color:#bbffbb"| 44 || May 19 || Dodgers || 6–2 || Weaver (3–3) || Hendrickson (2–1) || || Angel Stadium of Anaheim || 44,380 || 26–18 || style="background-color:#bbffbb;" | +3|- style="background-color:#bbffbb"| 45 || May 20 || Dodgers || 4–1 || Escobar (5–2) || Lowe (4–5) || Rodríguez (13) || Angel Stadium of Anaheim || 44,301 || 27–18 || style="background-color:#bbffbb;" | +4|- style="background-color:#bbffbb"| 46 || May 22 || @ Tigers || 6–3 || Lackey (7–3) || Maroth (3–1) || Rodríguez (14) || Comerica Park || 28,678 || 28–18 || style="background-color:#bbffbb;" | +5½|- style="background-color:#ffbbbb"| 47 || May 23 || @ Tigers || 8–7 || Durbin (4–1) || Colón (5–1) || Jones (15) || Comerica Park || 28,105 || 28–19 || style="background-color:#bbffbb;" | +4½|- style="background-color:#ffbbbb"| 48 || May 24 || @ Tigers || 12–0 || Bonderman (3–0) || Santana (3–6) || || Comerica Park || 36,048 || 28–20 || style="background-color:#bbffbb;" | +4|- style="background-color:#bbffbb"| 49 || May 25 || @ Yankees || 10–6 || Weaver (4–3) || Clippard (1–1) || || Yankee Stadium || 50,363 || 29–20 || style="background-color:#bbffbb;" | +4|- style="background-color:#bbffbb"| 50 || May 26 || @ Yankeess || 3–1 || Escobar (6–2) || Wang (3–4) || Rodríguez (15) || Yankee Stadium || 52,536 || 30–20 || style="background-color:#bbffbb;" | +4½|- style="background-color:#bbffbb"| 51 || May 27 || @ Yankees || 4–3 || Lackey (8–3) || Proctor (0–2) || Rodríguez (16) || Yankee Stadium || 53,508 || 31–20 || style="background-color:#bbffbb;" | +4½|- style="background-color:#ffbbbb"| 52 || May 28 || Mariners || 12–5 || Batista (5–4)  || Colón (5–2) ||  || Angel Stadium of Anaheim || 42,352 || 31–21 || style="background-color:#bbffbb;" | +3½|- style="background-color:#bbffbb"| 53 || May 29 || Mariners || 4–1 || Santana (4–6) || Feierabend (0–1) || Rodríguez (17) || Angel Stadium of Anaheim || 38,174 || 32–21 || style="background-color:#bbffbb;" | +4½|- style="background-color:#bbffbb"| 54 || May 30 || Mariners || 8–6 || Moseley (4–0) || Hernández (3–3) || Rodríguez (18) || Angel Stadium of Anaheim || 39,288 || 33–21 || style="background-color:#bbffbb;" | +5½|- style="background-color:#ffbbbb"| 55 || May 31 || Orioles || 6–2 || Burres (3–2) || Escobar (6–3) || || Oriole Park at Camden Yards || 42,266 || 33–22 || style="background-color:#bbffbb;" | +4½! style="background-color:#DDDDFF" width="160px" | Stadium! style="background-color:#DDDDFF" width="71px" | Attendance! style="background-color:#DDDDFF" width="53px" | Record! style="background-color:#DDDDFF" width="42px" | GB|- style="background-color:#bbffbb"| 56 || June 1 || Orioles || 3–2 || Lackey (9–3) || Cabrera (4–6) || Rodríguez (19) || Angel Stadium of Anaheim || 43,012 || 34–22 || style="background-color:#bbffbb;" | +5½|- style="background-color:#bbffbb"| 57 || June 2 || Orioles || 7–4 || Saunders (3–0) || Trachsel (4–4) || || Angel Stadium of Anaheim || 42,190 || 35–22 || style="background-color:#bbffbb;" | +5½|- style="background-color:#bbffbb"| 58 || June 3 || Orioles || 4–3 || Bootcheck (1–0) || Ray (3–4) || || Angel Stadium of Anaheim || 41,026 || 36–22 || style="background-color:#bbffbb;" | +5½|- style="background-color:#bbffbb"| 59 || June 4 || Twins || 16–3 || Weaver (5–3) || Bonser (4–2) || || Angel Stadium of Anaheim || 37,380 || 37–22 || style="background-color:#bbffbb;" | +5½|- style="background-color:#bbffbb"| 60 || June 5 || Twins || 5–1 || Escobar (7–3) || Baker (1–1) || || Angel Stadium of Anaheim || 42,001 || 38–22 || style="background-color:#bbffbb;" | +5½|- style="background-color:#ffbbbb"| 61 || June 6 || Twins || 8–5 || Slowey (1–0) || Lackey (9–4) || Nathan (13) || Angel Stadium of Anaheim || 36,453 || 38–23 || style="background-color:#bbffbb;" | +5½|- style="background-color:#bbffbb"| 62 || June 8 || @ Cardinals || 10–6 || Carrasco (1–1) || Johnson (1–1) || || Busch Stadium || 44,156 || 39–23 || style="background-color:#bbffbb;" | +5½|- style="background-color:#bbffbb"| 63 || June 9 || @ Cardinals || 9–3 || Santana (5–6) || Looper (6–5) || || Busch Stadium || 45,392 || 40–23 || style="background-color:#bbffbb;" | +5½|- style="background-color:#ffbbbb"| 64 || June 10 || @ Cardinals || 9–6 || Wellemeyer (2–1) || Bootcheck (1–1) || || Busch Stadium || 43,612 || 40–24 || style="background-color:#bbffbb;" | +4½|- style="background-color:#ffbbbb"| 65 || June 12 || @ Reds || 5–3 || Coutlangus (3–1) || Moseley (4–1) || Weathers (13) || Great American Ball Park || 23,153 || 40–25 || style="background-color:#bbffbb;" | +3|- style="background-color:#bbffbb"| 66 || June 13 || @ Reds || 6–3 || Lackey (10–4) || Lohse (3–8) || Rodríguez (20) || Great American Ball Park || 29,655 || 41–25 || style="background-color:#bbffbb;" | +4|- style="background-color:#bbffbb"| 67 || June 14 || @ Reds || 9–7 || Colón (6–2) || Majewski (0–1) || Rodríguez (21) || Great American Ball Park || 32,860 || 42–25 || style="background-color:#bbffbb;" | +5|- style="background-color:#ffbbbb"| 68 || June 15 || @ Dodgers || 2–1 || Lowe (7–6) || Santana (5–7) || Saito (19) || Dodger Stadium || 56,000 || 42–26 || style="background-color:#bbffbb;" | +4|- style="background-color:#bbffbb"| 69 || June 16 || @ Dodgers || 3–0 || Weaver (6–3) || Schmidt (1–4) || Rodríguez (22) || Dodger Stadium || 56,000 || 43–26 || style="background-color:#bbffbb;" | +5|- style="background-color:#bbffbb"| 70 || June 17 || @ Dodgers || 10–4 || Escobar (8–3) || Wolf (8–5) || || Dodger Stadium || 56,000 || 44–26 || style="background-color:#bbffbb;" | +6|- style="background-color:#bbffbb"| 71 || June 18 || Astros || 10–9 || Rodríguez (1–2) || Borkowski (1–1) || || Angel Stadium of Anaheim || 42,232 || 45–26 || style="background-color:#bbffbb;" | +6|- style="background-color:#ffbbbb"| 72 || June 19 || Astros ||  9–5 || Jennings (1–1) || Colón (6–3) || || Angel Stadium of Anaheim || 42,156 || 45–27 || style="background-color:#bbffbb;" | +6|- style="background-color:#bbffbb"| 73 || June 20 || Astros || 8–4 || Carrasco (2–1) || Borkowski (1–2) || || Angel Stadium of Anaheim || 40,761 || 46–27 || style="background-color:#bbffbb;" | +6|- style="background-color:#bbffbb"| 74 || June 22 || Pirates || 5–4 (11) || Shields (1–2) || Bayliss (4–3) || || Angel Stadium of Anaheim || 43,545 || 47–27 || style="background-color:#bbffbb;" | +7|- style="background-color:#bbffbb"| 75 || June 23 || Pirates || 10–1 || Escobar (9–3) || Snell (6–5) || || Angel Stadium of Anaheim || 44,010 || 48–27 || style="background-color:#bbffbb;" | +8|- style="background-color:#bbffbb"| 76 || June 24 || Pirates || 4–3 (10) || Bootcheck (2–1) || Capps (3–4) || || Angel Stadium of Anaheim || 42,346 || 49–27 || style="background-color:#bbffbb;" | +8|- style="background-color:#ffbbbb"| 77 || June 25 || Royals || 5–3 || Thomson (1–0) || Lackey (10–5) || Dotel (7) || Angel Stadium of Anaheim || 43,895 || 49–28 || style="background-color:#bbffbb;" | +7|- style="background-color:#ffbbbb"| 78 || June 26 || Royals || 12–4 || Meche (5–6) || Santana (5–8) || || Angel Stadium of Anaheim || 44,002 || 49–29 || style="background-color:#bbffbb;" | +6|- style="background-color:#ffbbbb"| 79 || June 27 || Royals || 1–0 || de la Rosa (5–9) || Weaver (6–4) || Dotel (8) || Angel Stadium of Anaheim || 41,269 || 49–30 || style="background-color:#bbffbb;" | +5|- style="background-color:#bbffbb"| 80 || June 29 || @ Orioles || 9–7 || Shields (2–2) || Ray (4–6) || Rodríguez (23) || Oriole Park at Camden Yards || 36,689 || 50–30 || style="background-color:#bbffbb;" | +5|- style="background-color:#ffbbbb"| 81 || June 30 || @ Orioles || 6–3 || Burres (4–2) || Colón (6–4) || Shuey (1) || Oriole Park at Camden Yards || 26,235 || 50–31 || style="background-color:#bbffbb;" | +4! style="background-color:#DDDDFF" width="160px" | Stadium! style="background-color:#DDDDFF" width="71px" | Attendance! style="background-color:#DDDDFF" width="53px" | Record! style="background-color:#DDDDFF" width="42px" | GB|- style="background-color:#bbffbb"| 82 || July 1 || @ Orioles || 4–3 || Lackey (11–6) || Guthrie (4–2) || Rodríguez (24) || Oriole Park at Camden Yards || 25,058 || 51–31 || style="background-color:#bbffbb;" | +4|- style="background-color:#ffbbbb"| 83 || July 3 || @ Rangers || 8–3 || Millwood (5–7) || Santana (5–9) || || Ameriquest Field in Arlington || 24,871 || 51–32 || style="background-color:#bbffbb;" | +4½|- style="background-color:#ffbbbb"| 84 || July 4 || @ Rangers || 4–2 || Wright (2–2) || Weaver (6–5) || Gagné (11) || Ameriquest Field in Arlington || 46,105 || 51–33 || style="background-color:#bbffbb;" | +3½|- style="background-color:#bbffbb"| 85 || July 5 || @ Rangers || 5–2 || Escobar (10–3) || Tejeda (5–8) || || Ameriquest Field in Arlington || 22,062 || 52–33 || style="background-color:#bbffbb;" | +4½|- style="background-color:#ffbbbb"| 86 || July 6 || @ Yankees || 14–9 || Ramírez (1–0) || Bootcheck (2–2) || || Yankee Stadium || 52,059 || 52–34 || style="background-color:#bbffbb;" | +3½|- style="background-color:#bbffbb"| 87 || July 7 || @ Yankees || 2–1 (13) || Rodríguez (2–2) || Vizcaíno (4–2) || || Yankee Stadium || 54,497 || 53–34 || style="background-color:#bbffbb;" | +3½|- style="background-color:#ffbbbb"| 88 || July 8 || @ Yankees || 12–0 || Wang (9–4) || Santana (5–10) || || Yankee Stadium || 53,921 || 53–35 || style="background-color:#bbffbb;" | +2½|- style="background-color:#bbcaff"|colspan=4 style="background-color:#bbcaff" | July 10: All-Star Game (AL wins, 5–4) || Beckett (BOS) || Young (SD) || Rodríguez (LAA) || AT&T Park || 43,965 || colspan=2 | San Francisco|- style="background-color:#bbffbb"| 89 || July 13 || Rangers || 2–1 || Rodríguez (3–2) || Benoit (3–3) || || Angel Stadium of Anaheim || 44,100 || 54–35 || style="background-color:#bbffbb;" | +3|- style="background-color:#bbffbb"| 90 || July 14 || Rangers || 9–5 || Lackey (12–5) || Loe (5–7) || || Angel Stadium of Anaheim || 44,026 || 55–35 || style="background-color:#bbffbb;" | +3|- style="background-color:#ffbbbb"| 91 || July 15 || Rangers || 5–4 (11) || Wilson (1–1) || Speier (0–1) || Gagné (13) || Angel Stadium of Anaheim || 44,068 || 55–36 || style="background-color:#bbffbb;" | +3|- style="background-color:#ffbbbb"| 92 || July 17 || @ Devil Rays || 8–3 || Shields (8–5) || Santana (5–11) || || Tropicana Field || 9,430 || 55–37 || style="background-color:#bbffbb;" | +2½|- style="background-color:#ffbbbb"| 93 || July 18 || @ Devil Rays || 7–2 || Kazmir (7–6) || Colón (6–5) || || Tropicana Field || 13,521 || 55–38 || style="background-color:#bbffbb;" | +1½|- style="background-color:#bbffbb"| 94 || July 19 || @ Devil Rays || 3–0 || Escobar (11–3) || Sonnanstine (1–5) || Rodríguez (25) || Tropicana Field || 18,163 || 56–38 || style="background-color:#bbffbb;" | +2|- style="background-color:#ffbbbb"| 95 || July 20 || @ Twins || 7–5 || Silva (8–10) || Lackey (12–6) || Nathan (19) || HHH Metrodome || 35,794 || 56–39 || style="background-color:#bbffbb;" | +1|- style="background-color:#ffbbbb"| 96 || July 21 || @ Twins || 5–2 || Neshek (5–1) || Shields (2–3) || Nathan (20) || HHH Metrodome || 33,868 || 56–40 || style="background-color:#bbffbb;" | +1|- style="background-color:#bbffbb"| 97 || July 22 || @ Twins || 7–2 || Saunders (4–0) || Garza (1–2) || || HHH Metrodome || 33,217 || 57–40 || style="background-color:#bbffbb;" | +2|- style="background-color:#ffbbbb"| 98 || July 23 || Athletics || 12–6 || Kennedy (3–8) || Colón (6–6)|| || Angel Stadium of Anaheim || 43,847 || 57–41 || style="background-color:#bbffbb;" | +2|- style="background-color:#ffbbbb"| 99 || July 24 || Athletics || 4–3 || DiNardo (5–6) || Escobar (11–4) || Embree (11) || Angel Stadium of Anaheim || 43,784 || 57–42 || style="background-color:#bbffbb;" | +2½|- style="background-color:#bbffbb"| 100 || July 25 || Athletics || 7–6 || Rodríguez (4–2) || Kennedy (3–9) || || Angel Stadium of Anaheim || 44,252 || 58–42 || style="background-color:#bbffbb;" | +3½|- style="background-color:#bbffbb"| 101 || July 27 || Tigers || 11–6 || Weaver (7–5) || Robertson (6–8) || || Angel Stadium of Anaheim || 44,042 || 59–42 || style="background-color:#bbffbb;" | +4|- style="background-color:#bbffbb"| 102 || July 28 || Tigers || 10–3 || Shields (3–3) || Grilli (5–3) || || Angel Stadium of Anaheim || 43,122 || 60–42 || style="background-color:#bbffbb;" | +4|- style="background-color:#bbffbb"| 103 || July 29 || Tigers || 13–4 || Bootcheck (3–2) || Bonderman (10–3) || || Angel Stadium of Anaheim || 44,019 || 61–42 || style="background-color:#bbffbb;" | +4|- style="background-color:#ffbbbb"| 104 || July 30 || @ Mariners || 2–0 || Batista (11–7) || Escobar (11–5) || Putz (31) || Safeco Field || 31,232 || 61–43 || style="background-color:#bbffbb;" | +3|- style="background-color:#bbffbb"| 105 || July 31|| @ Mariners || 8–0 || Lackey (13–6) || Weaver, Jeff (2–10) || || Safeco Field || 28,903 || 62–43 || style="background-color:#bbffbb;" | +4! style="background-color:#DDDDFF" width="160px" | Stadium! style="background-color:#DDDDFF" width="71px" | Attendance! style="background-color:#DDDDFF" width="53px" | Record! style="background-color:#DDDDFF" width="42px" | GB|- style="background-color:#ffbbbb"| 106 || August 1 || @ Mariners || 8–7 (12) || O'Flaherty (7–0) || Speier (0–2) || || Safeco Field || 34,471 || 62–44 || style="background-color:#bbffbb;" | +3|- style="background-color:#bbffbb"| 107 || August 2 || @ Athletics || 6–4 || Saunders (5–0) || Gaudin (8–7) || Rodríguez (26) || McAfee Coliseum || 21,654 || 63–44 || style="background-color:#bbffbb;" | +3½|- style="background-color:#ffbbbb"| 108 || August 3 || @ Athletics || 8–4 || Casilla (3–1) || Shields (3–4) || || McAfee Coliseum || 21,552 || 63–45 || style="background-color:#bbffbb;" | +2½|- style="background-color:#ffbbbb"| 109 || August 4 || @ Athletics || 2–1 || Blanton (9–8) || Escobar (11–6) || Embree (13) || McAfee Coliseum || 29,144 || 63–46 || style="background-color:#bbffbb;" | +2½|- style="background-color:#bbffbb"| 110 || August 5 || @ Athletics || 4–3 || Lackey (14–6) || Calero (1–5) || Rodríguez (27) || McAfee Coliseum || 26,782 || 64–46 || style="background-color:#bbffbb;" | +3½|- style="background-color:#bbffbb"| 111 || August 6 || Red Sox || 4–2 || Speier (1–2) || Schilling (6–5) || Rodríguez (28) || Angel Stadium of Anaheim || 44,142 || 65–46 || style="background-color:#bbffbb;" | +4|- style="background-color:#bbffbb"| 112 || August 7 || Red Sox || 10–4 ||  Saunders (6–0) || Wakefield (13–10) || || Angel Stadium of Anaheim || 44,177 || 66–46 || style="background-color:#bbffbb;" | +4|- style="background-color:#ffbbbb"| 113 || August 8 || Red Sox || 9–6 || Okajima (3–0) || Speier (1–3) || Papelbon (26) || Angel Stadium of Anaheim || 44,243 || 66–47 || style="background-color:#bbffbb;" | +3|- style="background-color:#bbffbb"| 114 || August 10 || Twins || 10–1 || Escobar (12–6) || Baker (6–5) || || Angel Stadium of Anaheim || 43,810 || 67–47 || style="background-color:#bbffbb;" | +3½|- style="background-color:#bbffbb"| 115 || August 11 || Twins || 4–3 || Lackey (15–6) || Neshek (6–2) || Rodríguez (29) || Angel Stadium of Anaheim || 44,064 || 68–47 || style="background-color:#bbffbb;" | +3½|- style="background-color:#bbffbb"| 116 || August 12 || Twins || 6–2 || Weaver (8–5) || Bonser (5–9) || || Angel Stadium of Anaheim || 43,911 || 69–47 || style="background-color:#bbffbb;" | +3½|- style="background-color:#ffbbbb"| 117 || August 14 || @ Blue Jays || 4–1 || Halladay (14–5) || Saunders (6–1) || || Rogers Centre || 31,978 || 69–48 || style="background-color:#bbffbb;" | +3|- style="background-color:#ffbbbb"| 118 || August 15 || @ Blue Jays || 2–1 || Marcum (10–4) || Moseley (4–2) || Accardo (23) || Rogers Centre || 30,353 || 69–49 || style="background-color:#bbffbb;" | +3|- style="background-color:#bbffbb"| 119 || August 16 || @ Blue Jays || 4–3 || Escobar (13–6) || McGowan (8–7)  || Rodríguez (30) || Rogers Centre || 27,861 || 70–49 || style="background-color:#bbffbb;" | +3½|- style="background-color:#ffbbbb"| 120 || August 17 || @ Red Sox || 8–4 || Buchholz (1–0) || Lackey (15–7) || Papelbon (29) || Fenway Park || 36,686 || 70–50 || style="background-color:#bbffbb;" | +3|- style="background-color:#bbffbb"| 121 || August 17 || @ Red Sox || 7–5 || Rodríguez (5–2) || Gagné (3–1) || || Fenway Park || 36,538 || 71–50 || style="background-color:#bbffbb;" | +3|- style="background-color:#ffbbbb"| 122 || August 18 || @ Red Sox || 10–5 || Schilling (7–5) || Weaver (8–6) || || Fenway Park || 36,652 || 71–51 || style="background-color:#bbffbb;" | +2|- style="background-color:#bbffbb"| 123 || August 19 || @ Red Sox || 3–1 || Saunders (7–1) || Tavárez (6–9) || Rodríguez (31) || Fenway Park || 36,346 || 72–51 || style="background-color:#bbffbb;" | +2|- style="background-color:#bbffbb"| 124 || August 20 || Yankees || 7–6 (10)|| Oliver (1–0) || Henn (2–1) || || Angel Stadium of Anaheim || 44,249 || 73–51 || style="background-color:#bbffbb;" | +2|- style="background-color:#bbffbb"| 125 || August 21 || Yankees || 18–9 || Escobar (14–6) || Mussina (8–9) || Gwyn (1) || Angel Stadium of Anaheim || 44,264 || 74–51 || style="background-color:#bbffbb;" | +2|- style="background-color:#ffbbbb"| 126 || August 22 || Yankees || 8–2 || Pettitte (11–7) || Lackey (15–8) || || Angel Stadium of Anaheim || 44,326 || 74–52 || style="background-color:#bbffbb;" | +2|- style="background-color:#ffbbbb"| 127 || August 23 || Blue Jays || 5–4 || Litsch (5–6) || Santana (5–12) || Accardo (25) || Angel Stadium of Anaheim || 41,009 || 74–53 || style="background-color:#bbffbb;" | +1|- style="background-color:#bbffbb"| 128 || August 24 || Blue Jays || 3–0 || Weaver (9–6) || Halladay (14–6) || Rodríguez (32) || Angel Stadium of Anaheim || 41,131 || 75–53 || style="background-color:#bbffbb;" | +1|- style="background-color:#ffbbbb"| 129 || August 25 || Blue Jays || 9–2 || Marcum (11–5) || Saunders (7–2) || || Angel Stadium of Anaheim || 41,631 || 75–54 || style="background-color:#bbffbb;" | +1|- style="background-color:#bbffbb"| 130 || August 26 || Blue Jays || 3–1 || Escobar (15–6) || McGowan (8–8) || Rodríguez (33) || Angel Stadium of Anaheim || 40,565 || 76–54 || style="background-color:#bbffbb;" | +2|- style="background-color:#bbffbb"| 131 || August 27 || @ Mariners || 6–0 || Lackey (16–8) || Batista (13–10) || || Safeco Field || 45,998 || 77–54 || style="background-color:#bbffbb;" | +3|- style="background-color:#bbffbb"| 132 || August 28 || @ Mariners || 10–6 || Speier (2–3) || Morrow (3–3) || || Safeco Field || 44,395 || 78–54 || style="background-color:#bbffbb;" | +4|- style="background-color:#bbffbb"| 133 || August 29 || @ Mariners || 8–2 || Weaver (10–6) || Hernández (10–7) || || Safeco Field || 46,047 || 79–54 || style="background-color:#bbffbb;" | +5|- style="background-color:#bbffbb"| 134 || August 31 || Rangers || 7–6 (10) || Oliver (2–0) || Francisco (1–1) || || Angel Stadium of Anaheim || 41,012 || 80–54 || style="background-color:#bbffbb;" | +6½! style="background-color:#DDDDFF" width="160px" | Stadium! style="background-color:#DDDDFF" width="71px" | Attendance! style="background-color:#DDDDFF" width="53px" | Record! style="background-color:#DDDDFF" width="42px" | GB|- style="background-color:#ffbbbb"| 135 || September 1 || Rangers || 7–6 || Vólquez (1–0) || Escobar (15–7) || Wilson (9) || Angel Stadium of Anaheim || 38,342 || 80–55 || style="background-color:#bbffbb;" | +6½|- style="background-color:#ffbbbb"| 136 || September 2 || Rangers || 8–7 || Littleton (3–1) || Shields (3–5) || Wilson (10) || Angel Stadium of Anaheim || 40,635 || 80–56 || style="background-color:#bbffbb;" | +6½|- style="background-color:#bbffbb"| 137 || September 3 || Athletics || 9–5 || Santana (6–12) || Gaudin (10–10) || || Angel Stadium of Anaheim || 39,164 || 81–56 || style="background-color:#bbffbb;" | +6½|- style="background-color:#bbffbb"| 138 || September 4 || Athletics || 4–3 || Weaver (11–6) || DiNardo (8–8) || Rodríguez (34) || Angel Stadium of Anaheim || 39,017 || 82–56 || style="background-color:#bbffbb;" | +7½|- style="background-color:#ffbbbb"| 139 || September 5 || Athletics || 6–2 || Blanton (12–9) || Saunders (7–3) || || Angel Stadium of Anaheim || 34,000 || 82–57 || style="background-color:#bbffbb;" | +7½|- style="background-color:#bbffbb"| 140 || September 6 || Indians || 10–3 || Escobar (16–7) || Byrd (14–6) || || Angel Stadium of Anaheim || 41,720 || 83–57 || style="background-color:#bbffbb;" | +8|- style="background-color:#bbffbb"| 141 || September 7 || Indians || 3–2 (10) || Shields (4–5) || Betancourt (4–1) || || Angel Stadium of Anaheim || 40,020 || 84–57 || style="background-color:#bbffbb;" | +9|- style="background-color:#ffbbbb"| 142 || September 8 || Indians || 6–1 || Sabathia (17–7) || Santana (6–13) || || Angel Stadium of Anaheim || 43,544 || 84–58 || style="background-color:#bbffbb;" | +9|- style="background-color:#ffbbbb"| 143 || September 9 || Indians || 6–2 || Laffey (3–1) || Weaver (11–7) || || Angel Stadium of Anaheim || 40,037 || 84–59 || style="background-color:#bbffbb;" | +8|- style="background-color:#bbffbb"| 144 || September 11 || @ Orioles || 10–5 || Saunders (8–3) || Santos (1–5) || || Oriole Park at Camden Yards || 15,371 || 85–59 || style="background-color:#bbffbb;" | +9½|- style="background-color:#bbffbb"| 145 || September 12 || @ Orioles || 18–6 || Escobar (17–7) || Cabrera (9–16) || || Oriole Park at Camden Yards || 15,136 || 86–59 || style="background-color:#bbffbb;" | +9½|- style="background-color:#ffbbbb"| 146 || September 13 || @ Orioles || 3–0 || Leicester (2–1) || Lackey (16–9) || Walker (5) || Oriole Park at Camden Yards || 16,359 || 86–60 || style="background-color:#bbffbb;" | +8½|- style="background-color:#ffbbbb"| 147 || September 14 || @ White Sox || 5–3 || Contreras (9–16) || Colón (6–7) || Jenks (38) || U.S. Cellular Field || 33,581 || 86–61 || style="background-color:#bbffbb;" | +7½|- style="background-color:#bbffbb"| 148 || September 15 || @ White Sox || 2–1 || Weaver (12–7) || Garland (9–12) || Rodríguez (35) || U.S. Cellular Field || 36,485 || 87–61 || style="background-color:#bbffbb;" | +8½|- style="background-color:#ffbbbb"| 149 || September 16 || @ White Sox || 9–7 || MacDougal (2–5) || Moseley (4–3) || || U.S. Cellular Field || 29,010 || 87–62 || style="background-color:#bbffbb;" | +8½|- style="background-color:#bbffbb"| 150 || September 17 || Devil Rays || 10–7 || Oliver (3–0) || Jackson (4–15) || || Angel Stadium of Anaheim || 37,530 || 88–62 || style="background-color:#bbffbb;" | +8½|- style="background-color:#bbffbb"| 151 || September 18 || Devil Rays || 2–1 || Lackey (17–9) || Hammel (2–5) || Rodríguez (36) || Angel Stadium of Anaheim || 36,313 || 89–62 || style="background-color:#bbffbb;" | +8½|- style="background-color:#bbffbb"| 152 || September 19 || Devil Rays || 2–1 || Santana (7–13) || Howell (1–5) || Rodríguez (37) || Angel Stadium of Anaheim || 33,699 || 90–62 || style="background-color:#bbffbb;" | +8½|- style="background-color:#bbffbb"| 153 || September 20 || Mariners || 9–5 || Weaver (13–7) || Feierabend (1–5) || || Angel Stadium of Anaheim || 40,016 || 91–62 || style="background-color:#bbffbb;" | +9½|- style="background-color:#ffbbbb"| 154 || September 21 || Mariners || 6–0 || Washburn (10–15) || Saunders (8–4) || || Angel Stadium of Anaheim || 44,018 || 91–63 || style="background-color:#bbffbb;" | +8½|- style="background-color:#ffbbbb"| 155 || September 22 || Mariners || 3–2 || Batista (15–11) || Colón (6–8) || Putz (39) || Angel Stadium of Anaheim || 43,583 || 91–64 || style="background-color:#bbffbb;" | +7½|- style="background-color:#bbffbb"| 156 || y-September 23 || Mariners || 7–4 || Lackey (18–9) || Weaver, Jeff (7–13) || Rodríguez (38) || Angel Stadium of Anaheim || 44,234 || 92–64 || style="background-color:#bbffbb;" | +8½|- style="background-color:#ffbbbb"| 157 || September 24 || @ Rangers || 8–7 || White (2–0) || Santana (7–14) || Littleton (2) || Ameriquest Field in Arlington || 22,881 || 92–65 || style="background-color:#bbffbb;" | +8|- style="background-color:#ffbbbb"| 158 || September 25 || @ Rangers || 3–1 || Wright (4–5) || Oliver (3–1) || || Ameriquest Field in Arlington || 30,708 || 92–66 || style="background-color:#bbffbb;" | +8|- style="background-color:#ffbbbb"| 159 || September 26 || @ Rangers || 16–2 || Rheinecker (4–3) || Saunders (8–4) || || Ameriquest Field in Arlington || 24,223 || 92–67 || style="background-color:#bbffbb;" | +7½|- style="background-color:#bbffbb"| 160 || September 28 || @ Athletics || 2–0 || Lackey (19–9) || Haren (15–9) || Rodríguez (39) || McAfee Coliseum || 32,287 || 93–67 || style="background-color:#bbffbb;" | +7|- style="background-color:#bbffbb"| 161 || September 29 || @ Athletics || 3–2 || Escobar (18–7) || DiNardo (8–10) || Rodríguez (40) || McAfee Coliseum || 26,480 || 94–67 || style="background-color:#bbffbb;" | +7|- style="background-color:#ffbbbb"| 162 || September 30 || @ Athletics || 3–2 || Street (5–2) || Bootcheck (3–3) || || McAfee Coliseum || 28,062 || 94–68 || style="background-color:#bbffbb;" | +6

text: ! style="background-color:#DDDDFF" width="160px" | Stadium! style="background-color:#DDDDFF" width="71px" | Attendance! style="background-color:#DDDDFF" width="53px" | Record! style="background-color:#DDDDFF" width="42px" | GB|- style="background-color:#bbffbb"| 1 || April 2 ||

text: Rangers

text: || 4–1 ||

text: Lackey

text: (1–0) ||

text: Millwood

text: (0–1) ||

text: Rodríguez

text: (1) ||

text: Angel Stadium of Anaheim

text: || 43,906 || 1–0 || style="background-color:#f2f2f2;" | 0|- style="background-color:#bbffbb"| 2 || April 3 ||

text: Rangers

text: || 8–3 ||

text: Escobar

text: (1–0) ||

text: Padilla

text: (0–1) || ||

text: Angel Stadium of Anaheim

text: || 42,463 || 2–0 || style="background-color:#f2f2f2;" | 0|- style="background-color:#bbffbb"| 3 || April 4 ||

text: Rangers

text: || 5–3 ||

text: Santana

text: (1–0) ||

text: McCarthy

text: (0–1) ||

text: Rodríguez

text: (2) ||

text: Angel Stadium of Anaheim

text: || 35,701 || 3–0 || style="background-color:#bbffbb;" | +1|- style="background-color:#ffbbbb"| 4 || April 5 ||

text: Athletics

text: || 4–3 ||

text: Duchscherer

text: (1–0) ||

text: Rodríguez

text: (0–1) ||

text: Street

text: (1) ||

text: Angel Stadium of Anaheim

text: || 39,234 || 3–1 || style="background-color:#bbffbb;" | +½|- style="background-color:#bbffbb"| 5 || April 6 ||

text: Athletics

text: || 5–2 ||

text: Moseley

text: (1–0) ||

text: Kennedy

text: (0–1) ||

text: Rodríguez

text: (3) ||

text: Angel Stadium of Anaheim

text: || 43,534 || 4–1 || style="background-color:#bbffbb;" | +1|- style="background-color:#bbffbb"| 6 || April 7 ||

text: Athletics

text: || 2–1 ||

text: Lackey

text: (2–0) ||

text: Haren

text: (0–2) ||

text: Shields

text: (1) ||

text: Angel Stadium of Anaheim

text: || 44,007 || 5–1 || style="background-color:#bbffbb;" | +1½|- style="background-color:#ffbbbb"| 7 || April 8 ||

text: Athletics

text: || 2–1 ||

text: Blanton

text: (1–0) ||

text: Escobar

text: (1–1) ||

text: Street

text: (2) ||

text: Angel Stadium of Anaheim

text: || 37,783 || 5–2 || style="background-color:#bbffbb;" | +1|- style="background-color:#ffbbbb"| 8 || April 10 || @

text: Indians

text: || 7–6 ||

text: Sabathia

text: (2–0) ||

text: Santana

text: (1–1) ||

text: Borowski

text: (2) ||

text: Miller Park

text: || 19,031 || 5–3 || style="background-color:#bbffbb;" | +1|- style="background-color:#bbffbb"| 9 || April 11 || @

text: Indians

text: || 4–1 ||

text: Saunders

text: (1–0) ||

text: Westbrook

text: (0–1) ||

text: Rodríguez

text: (4) ||

text: Miller Park

text: || 16,375 || 6–3 || style="background-color:#bbffbb;" | +1|- style="background-color:#ffbbbb"| 10 || April 12 || @

text: Indians

text: || 4–2 ||

text: Fultz

text: (2–0) ||

text: Shields

text: (0–1) ||

text: Borowski

text: (3) ||

text: Miller Park

text: || 17,090 || 6–4 || style="background-color:#bbffbb;" | +½|- style="background-color:#ffbbbb"| 11 || April 13 || @

text: Red Sox

text: || 10–1 ||

text: Wakefield

text: (1–1) ||

text: Lackey

text: (2–1) || ||

text: Fenway Park

text: || 35,946 || 6–5 || style="background-color:#bbffbb;" | +½|- style="background-color:#ffbbbb"| 12 || April 14 || @

text: Red Sox

text: || 8–0 ||

text: Schilling

text: (2–1) ||

text: Carrasco

text: (0–1) || ||

text: Fenway Park

text: || 36,300 || 6–6 || style="background-color:#ffbbbb;" | -½|- style="background-color:#bbbbbb"| || April 15 || @

text: Red Sox

text: || colspan=4|Postponed (rain) Rescheduled for August 17 ||

text: Fenway Park

text: || || 6–6 || style="background-color:#ffbbbb;" | -1|- style="background-color:#ffbbbb"| 13 || April 16 || @

text: Red Sox

text: || 7–2 ||

text: Beckett

text: (3–0) ||

text: Santana

text: (1–2) || ||

text: Fenway Park

text: || 35,424 || 6–7 || style="background-color:#ffbbbb;" | -1½|- style="background-color:#ffbbbb"| 14 || April 17 || @

text: Athletics

text: || 4–1 ||

text: Gaudin

text: (1–0) ||

text: Weaver

text: (0–1) ||

text: Street

text: (3) ||

text: McAfee Coliseum

text: || 20,174 || 6–8 || style="background-color:#ffbbbb;" | -1½|- style="background-color:#ffbbbb"| 15 || April 18 || @

text: Athletics

text: || 3–0 ||

text: Haren

text: (1–2) ||

text: Lackey

text: (2–2) ||

text: Street

text: (4) ||

text: McAfee Coliseum

text: || 17,322 || 6–9 || style="background-color:#ffbbbb;" | -2|- style="background-color:#bbffbb"| 16 || April 20 ||

text: Mariners

text: || 8–4 ||

text: Saunders

text: (2–0) ||

text: Batista

text: (1–2) ||

text: Rodríguez

text: (5) ||

text: Angel Stadium of Anaheim

text: || 43,359 || 7–9 || style="background-color:#ffbbbb;" | -2|- style="background-color:#bbffbb"| 17 || April 21 ||

text: Mariners

text: || 7–6 ||

text: Colón

text: (1–0) ||

text: Ramírez

text: (1–1) ||

text: Rodríguez

text: (6) ||

text: Angel Stadium of Anaheim

text: || 41,752 || 8–9 || style="background-color:#ffbbbb;" | -1|- style="background-color:#bbffbb"| 18 || April 22 ||

text: Mariners

text: || 6–1 ||

text: Santana

text: (2–2) ||

text: Weaver, Jeff

text: (0–3) || ||

text: Angel Stadium of Anaheim

text: || 43,628 || 9–9 || style="background-color:#f2f2f2;" | 0|- style="background-color:#ffbbbb"| 19 || April 23 ||

text: Tigers

text: || 9–5 ||

text: Grilli

text: (2–1) ||

text: Weaver

text: (0–2) || ||

text: Angel Stadium of Anaheim

text: || 40,563 || 9–10 || style="background-color:#ffbbbb;" | -1|- style="background-color:#bbffbb"| 20 || April 24 ||

text: Tigers

text: || 9–8 (10) ||

text: Moseley

text: (2–0) ||

text: Jones

text: (0–1) || ||

text: Angel Stadium of Anaheim

text: || 36,055 || 10–10 || style="background-color:#ffbbbb;" | -1|- style="background-color:#bbffbb"| 21 || April 25 ||

text: Devil Rays

text: || 9–1 ||

text: Lackey

text: (3–2) ||

text: Jackson

text: (0–3) || ||

text: Angel Stadium of Anaheim

text: || 36,850 || 11–10 || style="background-color:#f2f2f2;" | 0|- style="background-color:#bbffbb"| 22 || April 26 ||

text: Devil Rays

text: || 11–3 ||

text: Colón

text: (2–0) ||

text: Seo

text: (1–2) || ||

text: Angel Stadium of Anaheim

text: || 35,597 || 12–10 || style="background-color:#bbffbb;" | +1|- style="background-color:#ffbbbb"| 23 || April 27 || @

text: White Sox

text: || 7–3 ||

text: Contreras

text: (2–2) ||

text: Santana

text: (2–3) || ||

text: U.S. Cellular Field

text: || 30,193 || 12–11 || style="background-color:#bbffbb;" | +½|- style="background-color:#bbffbb"| 24 || April 28 || @

text: White Sox

text: || 3–0 ||

text: Weaver

text: (1–2) ||

text: Garland

text: (0–2) ||

text: Rodríguez

text: (7) ||

text: U.S. Cellular Field

text: || 38,208 || 13–11 || style="background-color:#bbffbb;" | +1|- style="background-color:#bbffbb"| 25 || April 29 || @

text: White Sox

text: || 5–2 ||

text: Escobar

text: (1–0) ||

text: Buehrle

text: (2–1) ||

text: Rodríguez

text: (8) ||

text: U.S. Cellular Field

text: || 38,513 || 14–11 || style="background-color:#bbffbb;" | +1½|- style="background-color:#bbffbb"| 26 || April 30 || @

text: Royals

text: || 3–1 ||

text: Lackey

text: (4–2) ||

text: Pérez

text: (2–3) ||

text: Rodríguez

text: (9) ||

text: Kauffman Stadium

text: || 10,866 || 15–11 || style="background-color:#bbffbb;" | +2! style="background-color:#DDDDFF" width="160px" | Stadium! style="background-color:#DDDDFF" width="71px" | Attendance! style="background-color:#DDDDFF" width="53px" | Record! style="background-color:#DDDDFF" width="42px" | GB|- style="background-color:#bbffbb"| 27 || May 1 || @

text: Royals

text: || 7–5 ||

text: Colón

text: (3–0) ||

text: Greinke

text: (1–3) ||

text: Rodríguez

text: (10) ||

text: Kauffman Stadium

text: || 11,225 || 16–11 || style="background-color:#bbffbb;" | +2|- style="background-color:#ffbbbb"| 28 || May 2 || @

text: Royals

text: || 3–1 ||

text: de la Rosa

text: (3–2) ||

text: Santana

text: (2–4) ||

text: Soria

text: (4) ||

text: Kauffman Stadium

text: || 9,697 || 16–12 || style="background-color:#bbffbb;" | +1|- style="background-color:#ffbbbb"| 29 || May 3 || @

text: Royals

text: || 5–2 ||

text: Meche

text: (3–1) ||

text: Weaver

text: (1–3) ||

text: Soria

text: (5) ||

text: Kauffman Stadium

text: || 12,683 || 16–13 || style="background-color:#bbffbb;" | +1|- style="background-color:#bbffbb"| 30 || May 4 ||

text: White Sox

text: || 5–1 ||

text: Escobar

text: (3–1) ||

text: Contreras

text: (2–3) ||

text: Shields

text: (2) ||

text: Angel Stadium of Anaheim

text: || 44,126 || 17–13 || style="background-color:#bbffbb;" | +1|- style="background-color:#ffbbbb"| 31 || May 5 ||

text: White Sox

text: || 6–3 ||

text: Garland

text: (1–2) ||

text: Lackey

text: (4–3) ||

text: Jenks

text: (9) ||

text: Angel Stadium of Anaheim

text: || 42,574 || 17–14 || style="background-color:#bbffbb;" | +1|- style="background-color:#ffbbbb"| 32 || May 6 ||

text: White Sox

text: || 4–3 (10) ||

text: Thornton

text: (2–1) ||

text: Rodríguez

text: (0–2) ||

text: Jenks

text: (10) ||

text: Angel Stadium of Anaheim

text: || 42,017 || 17–15 || style="background-color:#bbffbb;" | +1|- style="background-color:#ffbbbb"| 33 || May 8 ||

text: Indians

text: || 5–1 ||

text: Lee

text: (1–0) ||

text: Santana

text: (2–5) || ||

text: Angel Stadium of Anaheim

text: || 41,731 || 17–16 || style="background-color:#f2f2f2;" | 0|- style="background-color:#bbffbb"| 34 || May 9 ||

text: Indians

text: || 3–2 ||

text: Moseley

text: (3–0) ||

text: Cabrera

text: (1–2) ||

text: Rodríguez

text: (11) ||

text: Angel Stadium of Anaheim

text: || 40,007 || 18–16 || style="background-color:#bbffbb;" | +½|- style="background-color:#bbffbb"| 35 || May 10 ||

text: Indians

text: || 8–0 ||

text: Escobar

text: (4–1) ||

text: Sowers

text: (0–3) || ||

text: Angel Stadium of Anaheim

text: || 33,698 || 19–16 || style="background-color:#bbffbb;" | +1|- style="background-color:#bbffbb"| 36 || May 11 || @

text: Rangers

text: || 6–3 ||

text: Lackey

text: (5–3) ||

text: Padilla

text: (1–5) ||

text: Shields

text: (3) ||

text: Ameriquest Field in Arlington

text: || 30,782 || 20–16 || style="background-color:#bbffbb;" | +1|- style="background-color:#bbffbb"| 37 || May 12 || @

text: Rangers

text: || 6–3 ||

text: Colón

text: (4–0) ||

text: Loe

text: (1–3) ||

text: Rodríguez

text: (12) ||

text: Ameriquest Field in Arlington

text: || 36,474 || 21–16 || style="background-color:#bbffbb;" | +2|- style="background-color:#ffbbbb"| 38 || May 13 || @

text: Rangers

text: || 7–6 ||

text: Gagné

text: (1–0) ||

text: Shields

text: (0–2) || ||

text: Ameriquest Field in Arlington

text: || 24,847 || 21–17 || style="background-color:#bbffbb;" | +1|- style="background-color:#bbffbb"| 39 || May 14 || @

text: Rangers

text: || 7–2 ||

text: Weaver

text: (2–3) ||

text: Millwood

text: (2–4) || ||

text: Ameriquest Field in Arlington

text: || 23,421 || 22–17 || style="background-color:#bbffbb;" | +2|- style="background-color:#ffbbbb"| 40 || May 15 || @

text: Mariners

text: || 11–3 ||

text: White

text: (1–0) ||

text: Escobar

text: (4–2) || ||

text: Safeco Field

text: || 21,769 || 22–18 || style="background-color:#bbffbb;" | +1|- style="background-color:#bbffbb"| 41 || May 16 || @

text: Mariners

text: || 5–0 ||

text: Lackey

text: (6–3) ||

text: Baek

text: (1–1) || ||

text: Safeco Field

text: || 22,331 || 23–18 || style="background-color:#bbffbb;" | +2|- style="background-color:#bbffbb"| 42 || May 17 || @

text: Mariners

text: || 7–3 ||

text: Colón

text: (5–0) ||

text: Washburn

text: (3–4) || ||

text: Safeco Field

text: || 20,488 || 24–18 || style="background-color:#bbffbb;" | +3|- style="background-color:#bbffbb"| 43 || May 18 ||

text: Dodgers

text: || 9–1 ||

text: Santana

text: (3–5) ||

text: Penny

text: (5–1) || ||

text: Angel Stadium of Anaheim

text: || 44,342 || 25–18 || style="background-color:#bbffbb;" | +3|- style="background-color:#bbffbb"| 44 || May 19 ||

text: Dodgers

text: || 6–2 ||

text: Weaver

text: (3–3) ||

text: Hendrickson

text: (2–1) || ||

text: Angel Stadium of Anaheim

text: || 44,380 || 26–18 || style="background-color:#bbffbb;" | +3|- style="background-color:#bbffbb"| 45 || May 20 ||

text: Dodgers

text: || 4–1 ||

text: Escobar

text: (5–2) ||

text: Lowe

text: (4–5) ||

text: Rodríguez

text: (13) ||

text: Angel Stadium of Anaheim

text: || 44,301 || 27–18 || style="background-color:#bbffbb;" | +4|- style="background-color:#bbffbb"| 46 || May 22 || @

text: Tigers

text: || 6–3 ||

text: Lackey

text: (7–3) ||

text: Maroth

text: (3–1) ||

text: Rodríguez

text: (14) ||

text: Comerica Park

text: || 28,678 || 28–18 || style="background-color:#bbffbb;" | +5½|- style="background-color:#ffbbbb"| 47 || May 23 || @

text: Tigers

text: || 8–7 ||

text: Durbin

text: (4–1) ||

text: Colón

text: (5–1) ||

text: Jones

text: (15) ||

text: Comerica Park

text: || 28,105 || 28–19 || style="background-color:#bbffbb;" | +4½|- style="background-color:#ffbbbb"| 48 || May 24 || @

text: Tigers

text: || 12–0 ||

text: Bonderman

text: (3–0) ||

text: Santana

text: (3–6) || ||

text: Comerica Park

text: || 36,048 || 28–20 || style="background-color:#bbffbb;" | +4|- style="background-color:#bbffbb"| 49 || May 25 || @

text: Yankees

text: || 10–6 ||

text: Weaver

text: (4–3) ||

text: Clippard

text: (1–1) || ||

text: Yankee Stadium

text: || 50,363 || 29–20 || style="background-color:#bbffbb;" | +4|- style="background-color:#bbffbb"| 50 || May 26 || @

text: Yankeess

text: || 3–1 ||

text: Escobar

text: (6–2) ||

text: Wang

text: (3–4) ||

text: Rodríguez

text: (15) ||

text: Yankee Stadium

text: || 52,536 || 30–20 || style="background-color:#bbffbb;" | +4½|- style="background-color:#bbffbb"| 51 || May 27 || @

text: Yankees

text: || 4–3 ||

text: Lackey

text: (8–3) ||

text: Proctor

text: (0–2) ||

text: Rodríguez

text: (16) ||

text: Yankee Stadium

text: || 53,508 || 31–20 || style="background-color:#bbffbb;" | +4½|- style="background-color:#ffbbbb"| 52 || May 28 ||

text: Mariners

text: || 12–5 ||

text: Batista

text: (5–4)  ||

text: Colón

text: (5–2) ||  ||

text: Angel Stadium of Anaheim

text: || 42,352 || 31–21 || style="background-color:#bbffbb;" | +3½|- style="background-color:#bbffbb"| 53 || May 29 ||

text: Mariners

text: || 4–1 ||

text: Santana

text: (4–6) ||

text: Feierabend

text: (0–1) ||

text: Rodríguez

text: (17) ||

text: Angel Stadium of Anaheim

text: || 38,174 || 32–21 || style="background-color:#bbffbb;" | +4½|- style="background-color:#bbffbb"| 54 || May 30 ||

text: Mariners

text: || 8–6 ||

text: Moseley

text: (4–0) ||

text: Hernández

text: (3–3) ||

text: Rodríguez

text: (18) ||

text: Angel Stadium of Anaheim

text: || 39,288 || 33–21 || style="background-color:#bbffbb;" | +5½|- style="background-color:#ffbbbb"| 55 || May 31 ||

text: Orioles

text: || 6–2 ||

text: Burres

text: (3–2) ||

text: Escobar

text: (6–3) || ||

text: Oriole Park at Camden Yards

text: || 42,266 || 33–22 || style="background-color:#bbffbb;" | +4½! style="background-color:#DDDDFF" width="160px" | Stadium! style="background-color:#DDDDFF" width="71px" | Attendance! style="background-color:#DDDDFF" width="53px" | Record! style="background-color:#DDDDFF" width="42px" | GB|- style="background-color:#bbffbb"| 56 || June 1 ||

text: Orioles

text: || 3–2 ||

text: Lackey

text: (9–3) ||

text: Cabrera

text: (4–6) ||

text: Rodríguez

text: (19) ||

text: Angel Stadium of Anaheim

text: || 43,012 || 34–22 || style="background-color:#bbffbb;" | +5½|- style="background-color:#bbffbb"| 57 || June 2 ||

text: Orioles

text: || 7–4 ||

text: Saunders

text: (3–0) ||

text: Trachsel

text: (4–4) || ||

text: Angel Stadium of Anaheim

text: || 42,190 || 35–22 || style="background-color:#bbffbb;" | +5½|- style="background-color:#bbffbb"| 58 || June 3 ||

text: Orioles

text: || 4–3 ||

text: Bootcheck

text: (1–0) ||

text: Ray

text: (3–4) || ||

text: Angel Stadium of Anaheim

text: || 41,026 || 36–22 || style="background-color:#bbffbb;" | +5½|- style="background-color:#bbffbb"| 59 || June 4 ||

text: Twins

text: || 16–3 ||

text: Weaver

text: (5–3) ||

text: Bonser

text: (4–2) || ||

text: Angel Stadium of Anaheim

text: || 37,380 || 37–22 || style="background-color:#bbffbb;" | +5½|- style="background-color:#bbffbb"| 60 || June 5 ||

text: Twins

text: || 5–1 ||

text: Escobar

text: (7–3) ||

text: Baker

text: (1–1) || ||

text: Angel Stadium of Anaheim

text: || 42,001 || 38–22 || style="background-color:#bbffbb;" | +5½|- style="background-color:#ffbbbb"| 61 || June 6 ||

text: Twins

text: || 8–5 ||

text: Slowey

text: (1–0) ||

text: Lackey

text: (9–4) ||

text: Nathan

text: (13) ||

text: Angel Stadium of Anaheim

text: || 36,453 || 38–23 || style="background-color:#bbffbb;" | +5½|- style="background-color:#bbffbb"| 62 || June 8 || @

text: Cardinals

text: || 10–6 ||

text: Carrasco

text: (1–1) ||

text: Johnson

text: (1–1) || ||

text: Busch Stadium

text: || 44,156 || 39–23 || style="background-color:#bbffbb;" | +5½|- style="background-color:#bbffbb"| 63 || June 9 || @

text: Cardinals

text: || 9–3 ||

text: Santana

text: (5–6) ||

text: Looper

text: (6–5) || ||

text: Busch Stadium

text: || 45,392 || 40–23 || style="background-color:#bbffbb;" | +5½|- style="background-color:#ffbbbb"| 64 || June 10 || @

text: Cardinals

text: || 9–6 ||

text: Wellemeyer

text: (2–1) ||

text: Bootcheck

text: (1–1) || ||

text: Busch Stadium

text: || 43,612 || 40–24 || style="background-color:#bbffbb;" | +4½|- style="background-color:#ffbbbb"| 65 || June 12 || @

text: Reds

text: || 5–3 ||

text: Coutlangus

text: (3–1) ||

text: Moseley

text: (4–1) ||

text: Weathers

text: (13) ||

text: Great American Ball Park

text: || 23,153 || 40–25 || style="background-color:#bbffbb;" | +3|- style="background-color:#bbffbb"| 66 || June 13 || @

text: Reds

text: || 6–3 ||

text: Lackey

text: (10–4) ||

text: Lohse

text: (3–8) ||

text: Rodríguez

text: (20) ||

text: Great American Ball Park

text: || 29,655 || 41–25 || style="background-color:#bbffbb;" | +4|- style="background-color:#bbffbb"| 67 || June 14 || @

text: Reds

text: || 9–7 ||

text: Colón

text: (6–2) ||

text: Majewski

text: (0–1) ||

text: Rodríguez

text: (21) ||

text: Great American Ball Park

text: || 32,860 || 42–25 || style="background-color:#bbffbb;" | +5|- style="background-color:#ffbbbb"| 68 || June 15 || @

text: Dodgers

text: || 2–1 ||

text: Lowe

text: (7–6) ||

text: Santana

text: (5–7) ||

text: Saito

text: (19) ||

text: Dodger Stadium

text: || 56,000 || 42–26 || style="background-color:#bbffbb;" | +4|- style="background-color:#bbffbb"| 69 || June 16 || @

text: Dodgers

text: || 3–0 ||

text: Weaver

text: (6–3) ||

text: Schmidt

text: (1–4) ||

text: Rodríguez

text: (22) ||

text: Dodger Stadium

text: || 56,000 || 43–26 || style="background-color:#bbffbb;" | +5|- style="background-color:#bbffbb"| 70 || June 17 || @

text: Dodgers

text: || 10–4 ||

text: Escobar

text: (8–3) ||

text: Wolf

text: (8–5) || ||

text: Dodger Stadium

text: || 56,000 || 44–26 || style="background-color:#bbffbb;" | +6|- style="background-color:#bbffbb"| 71 || June 18 ||

text: Astros

text: || 10–9 ||

text: Rodríguez

text: (1–2) ||

text: Borkowski

text: (1–1) || ||

text: Angel Stadium of Anaheim

text: || 42,232 || 45–26 || style="background-color:#bbffbb;" | +6|- style="background-color:#ffbbbb"| 72 || June 19 ||

text: Astros

text: ||  9–5 ||

text: Jennings

text: (1–1) ||

text: Colón

text: (6–3) || ||

text: Angel Stadium of Anaheim

text: || 42,156 || 45–27 || style="background-color:#bbffbb;" | +6|- style="background-color:#bbffbb"| 73 || June 20 ||

text: Astros

text: || 8–4 ||

text: Carrasco

text: (2–1) ||

text: Borkowski

text: (1–2) || ||

text: Angel Stadium of Anaheim

text: || 40,761 || 46–27 || style="background-color:#bbffbb;" | +6|- style="background-color:#bbffbb"| 74 || June 22 ||

text: Pirates

text: || 5–4 (11) ||

text: Shields

text: (1–2) ||

text: Bayliss

text: (4–3) || ||

text: Angel Stadium of Anaheim

text: || 43,545 || 47–27 || style="background-color:#bbffbb;" | +7|- style="background-color:#bbffbb"| 75 || June 23 ||

text: Pirates

text: || 10–1 ||

text: Escobar

text: (9–3) ||

text: Snell

text: (6–5) || ||

text: Angel Stadium of Anaheim

text: || 44,010 || 48–27 || style="background-color:#bbffbb;" | +8|- style="background-color:#bbffbb"| 76 || June 24 ||

text: Pirates

text: || 4–3 (10) ||

text: Bootcheck

text: (2–1) ||

text: Capps

text: (3–4) || ||

text: Angel Stadium of Anaheim

text: || 42,346 || 49–27 || style="background-color:#bbffbb;" | +8|- style="background-color:#ffbbbb"| 77 || June 25 ||

text: Royals

text: || 5–3 ||

text: Thomson

text: (1–0) ||

text: Lackey

text: (10–5) ||

text: Dotel

text: (7) ||

text: Angel Stadium of Anaheim

text: || 43,895 || 49–28 || style="background-color:#bbffbb;" | +7|- style="background-color:#ffbbbb"| 78 || June 26 ||

text: Royals

text: || 12–4 ||

text: Meche

text: (5–6) ||

text: Santana

text: (5–8) || ||

text: Angel Stadium of Anaheim

text: || 44,002 || 49–29 || style="background-color:#bbffbb;" | +6|- style="background-color:#ffbbbb"| 79 || June 27 ||

text: Royals

text: || 1–0 ||

text: de la Rosa

text: (5–9) ||

text: Weaver

text: (6–4) ||

text: Dotel

text: (8) ||

text: Angel Stadium of Anaheim

text: || 41,269 || 49–30 || style="background-color:#bbffbb;" | +5|- style="background-color:#bbffbb"| 80 || June 29 || @

text: Orioles

text: || 9–7 ||

text: Shields

text: (2–2) ||

text: Ray

text: (4–6) ||

text: Rodríguez

text: (23) ||

text: Oriole Park at Camden Yards

text: || 36,689 || 50–30 || style="background-color:#bbffbb;" | +5|- style="background-color:#ffbbbb"| 81 || June 30 || @

text: Orioles

text: || 6–3 ||

text: Burres

text: (4–2) ||

text: Colón

text: (6–4) ||

text: Shuey

text: (1) ||

text: Oriole Park at Camden Yards

text: || 26,235 || 50–31 || style="background-color:#bbffbb;" | +4! style="background-color:#DDDDFF" width="160px" | Stadium! style="background-color:#DDDDFF" width="71px" | Attendance! style="background-color:#DDDDFF" width="53px" | Record! style="background-color:#DDDDFF" width="42px" | GB|- style="background-color:#bbffbb"| 82 || July 1 || @

text: Orioles

text: || 4–3 ||

text: Lackey

text: (11–6) ||

text: Guthrie

text: (4–2) ||

text: Rodríguez

text: (24) ||

text: Oriole Park at Camden Yards

text: || 25,058 || 51–31 || style="background-color:#bbffbb;" | +4|- style="background-color:#ffbbbb"| 83 || July 3 || @

text: Rangers

text: || 8–3 ||

text: Millwood

text: (5–7) ||

text: Santana

text: (5–9) || ||

text: Ameriquest Field in Arlington

text: || 24,871 || 51–32 || style="background-color:#bbffbb;" | +4½|- style="background-color:#ffbbbb"| 84 || July 4 || @

text: Rangers

text: || 4–2 ||

text: Wright

text: (2–2) ||

text: Weaver

text: (6–5) ||

text: Gagné

text: (11) ||

text: Ameriquest Field in Arlington

text: || 46,105 || 51–33 || style="background-color:#bbffbb;" | +3½|- style="background-color:#bbffbb"| 85 || July 5 || @

text: Rangers

text: || 5–2 ||

text: Escobar

text: (10–3) ||

text: Tejeda

text: (5–8) || ||

text: Ameriquest Field in Arlington

text: || 22,062 || 52–33 || style="background-color:#bbffbb;" | +4½|- style="background-color:#ffbbbb"| 86 || July 6 || @

text: Yankees

text: || 14–9 ||

text: Ramírez

text: (1–0) ||

text: Bootcheck

text: (2–2) || ||

text: Yankee Stadium

text: || 52,059 || 52–34 || style="background-color:#bbffbb;" | +3½|- style="background-color:#bbffbb"| 87 || July 7 || @

text: Yankees

text: || 2–1 (13) ||

text: Rodríguez

text: (2–2) ||

text: Vizcaíno

text: (4–2) || ||

text: Yankee Stadium

text: || 54,497 || 53–34 || style="background-color:#bbffbb;" | +3½|- style="background-color:#ffbbbb"| 88 || July 8 || @

text: Yankees

text: || 12–0 ||

text: Wang

text: (9–4) ||

text: Santana

text: (5–10) || ||

text: Yankee Stadium

text: || 53,921 || 53–35 || style="background-color:#bbffbb;" | +2½|- style="background-color:#bbcaff"|colspan=4 style="background-color:#bbcaff" | July 10:

text: All-Star Game

text: AL

text: wins, 5–4) ||

text: Beckett

text: (BOS) ||

text: Young

text: (SD) ||

text: Rodríguez

text: (LAA) ||

text: AT&T Park

text: || 43,965 || colspan=2 | San Francisco|- style="background-color:#bbffbb"| 89 || July 13 ||

text: Rangers

text: || 2–1 ||

text: Rodríguez

text: (3–2) ||

text: Benoit

text: (3–3) || ||

text: Angel Stadium of Anaheim

text: || 44,100 || 54–35 || style="background-color:#bbffbb;" | +3|- style="background-color:#bbffbb"| 90 || July 14 ||

text: Rangers

text: || 9–5 ||

text: Lackey

text: (12–5) ||

text: Loe

text: (5–7) || ||

text: Angel Stadium of Anaheim

text: || 44,026 || 55–35 || style="background-color:#bbffbb;" | +3|- style="background-color:#ffbbbb"| 91 || July 15 ||

text: Rangers

text: || 5–4 (11) ||

text: Wilson

text: (1–1) ||

text: Speier

text: (0–1) ||

text: Gagné

text: (13) ||

text: Angel Stadium of Anaheim

text: || 44,068 || 55–36 || style="background-color:#bbffbb;" | +3|- style="background-color:#ffbbbb"| 92 || July 17 || @

text: Devil Rays

text: || 8–3 ||

text: Shields

text: (8–5) ||

text: Santana

text: (5–11) || ||

text: Tropicana Field

text: || 9,430 || 55–37 || style="background-color:#bbffbb;" | +2½|- style="background-color:#ffbbbb"| 93 || July 18 || @

text: Devil Rays

text: || 7–2 ||

text: Kazmir

text: (7–6) ||

text: Colón

text: (6–5) || ||

text: Tropicana Field

text: || 13,521 || 55–38 || style="background-color:#bbffbb;" | +1½|- style="background-color:#bbffbb"| 94 || July 19 || @

text: Devil Rays

text: || 3–0 ||

text: Escobar

text: (11–3) ||

text: Sonnanstine

text: (1–5) ||

text: Rodríguez

text: (25) ||

text: Tropicana Field

text: || 18,163 || 56–38 || style="background-color:#bbffbb;" | +2|- style="background-color:#ffbbbb"| 95 || July 20 || @

text: Twins

text: || 7–5 ||

text: Silva

text: (8–10) ||

text: Lackey

text: (12–6) ||

text: Nathan

text: (19) ||

text: HHH Metrodome

text: || 35,794 || 56–39 || style="background-color:#bbffbb;" | +1|- style="background-color:#ffbbbb"| 96 || July 21 || @

text: Twins

text: || 5–2 ||

text: Neshek

text: (5–1) ||

text: Shields

text: (2–3) ||

text: Nathan

text: (20) ||

text: HHH Metrodome

text: || 33,868 || 56–40 || style="background-color:#bbffbb;" | +1|- style="background-color:#bbffbb"| 97 || July 22 || @

text: Twins

text: || 7–2 ||

text: Saunders

text: (4–0) ||

text: Garza

text: (1–2) || ||

text: HHH Metrodome

text: || 33,217 || 57–40 || style="background-color:#bbffbb;" | +2|- style="background-color:#ffbbbb"| 98 || July 23 ||

text: Athletics

text: || 12–6 ||

text: Kennedy

text: (3–8) ||

text: Colón

text: (6–6)|| ||

text: Angel Stadium of Anaheim

text: || 43,847 || 57–41 || style="background-color:#bbffbb;" | +2|- style="background-color:#ffbbbb"| 99 || July 24 ||

text: Athletics

text: || 4–3 ||

text: DiNardo

text: (5–6) ||

text: Escobar

text: (11–4) ||

text: Embree

text: (11) ||

text: Angel Stadium of Anaheim

text: || 43,784 || 57–42 || style="background-color:#bbffbb;" | +2½|- style="background-color:#bbffbb"| 100 || July 25 ||

text: Athletics

text: || 7–6 ||

text: Rodríguez

text: (4–2) ||

text: Kennedy

text: (3–9) || ||

text: Angel Stadium of Anaheim

text: || 44,252 || 58–42 || style="background-color:#bbffbb;" | +3½|- style="background-color:#bbffbb"| 101 || July 27 ||

text: Tigers

text: || 11–6 ||

text: Weaver

text: (7–5) ||

text: Robertson

text: (6–8) || ||

text: Angel Stadium of Anaheim

text: || 44,042 || 59–42 || style="background-color:#bbffbb;" | +4|- style="background-color:#bbffbb"| 102 || July 28 ||

text: Tigers

text: || 10–3 ||

text: Shields

text: (3–3) ||

text: Grilli

text: (5–3) || ||

text: Angel Stadium of Anaheim

text: || 43,122 || 60–42 || style="background-color:#bbffbb;" | +4|- style="background-color:#bbffbb"| 103 || July 29 ||

text: Tigers

text: || 13–4 ||

text: Bootcheck

text: (3–2) ||

text: Bonderman

text: (10–3) || ||

text: Angel Stadium of Anaheim

text: || 44,019 || 61–42 || style="background-color:#bbffbb;" | +4|- style="background-color:#ffbbbb"| 104 || July 30 || @

text: Mariners

text: || 2–0 ||

text: Batista

text: (11–7) ||

text: Escobar

text: (11–5) ||

text: Putz

text: (31) ||

text: Safeco Field

text: || 31,232 || 61–43 || style="background-color:#bbffbb;" | +3|- style="background-color:#bbffbb"| 105 || July 31|| @

text: Mariners

text: || 8–0 ||

text: Lackey

text: (13–6) ||

text: Weaver, Jeff

text: (2–10) || ||

text: Safeco Field

text: || 28,903 || 62–43 || style="background-color:#bbffbb;" | +4! style="background-color:#DDDDFF" width="160px" | Stadium! style="background-color:#DDDDFF" width="71px" | Attendance! style="background-color:#DDDDFF" width="53px" | Record! style="background-color:#DDDDFF" width="42px" | GB|- style="background-color:#ffbbbb"| 106 || August 1 || @

text: Mariners

text: || 8–7 (12) ||

text: O'Flaherty

text: (7–0) ||

text: Speier

text: (0–2) || ||

text: Safeco Field

text: || 34,471 || 62–44 || style="background-color:#bbffbb;" | +3|- style="background-color:#bbffbb"| 107 || August 2 || @

text: Athletics

text: || 6–4 ||

text: Saunders

text: (5–0) ||

text: Gaudin

text: (8–7) ||

text: Rodríguez

text: (26) ||

text: McAfee Coliseum

text: || 21,654 || 63–44 || style="background-color:#bbffbb;" | +3½|- style="background-color:#ffbbbb"| 108 || August 3 || @

text: Athletics

text: || 8–4 ||

text: Casilla

text: (3–1) ||

text: Shields

text: (3–4) || ||

text: McAfee Coliseum

text: || 21,552 || 63–45 || style="background-color:#bbffbb;" | +2½|- style="background-color:#ffbbbb"| 109 || August 4 || @

text: Athletics

text: || 2–1 ||

text: Blanton

text: (9–8) ||

text: Escobar

text: (11–6) ||

text: Embree

text: (13) ||

text: McAfee Coliseum

text: || 29,144 || 63–46 || style="background-color:#bbffbb;" | +2½|- style="background-color:#bbffbb"| 110 || August 5 || @

text: Athletics

text: || 4–3 ||

text: Lackey

text: (14–6) ||

text: Calero

text: (1–5) ||

text: Rodríguez

text: (27) ||

text: McAfee Coliseum

text: || 26,782 || 64–46 || style="background-color:#bbffbb;" | +3½|- style="background-color:#bbffbb"| 111 || August 6 ||

text: Red Sox

text: || 4–2 ||

text: Speier

text: (1–2) ||

text: Schilling

text: (6–5) ||

text: Rodríguez

text: (28) ||

text: Angel Stadium of Anaheim

text: || 44,142 || 65–46 || style="background-color:#bbffbb;" | +4|- style="background-color:#bbffbb"| 112 || August 7 ||

text: Red Sox

text: || 10–4 ||

text: Saunders

text: (6–0) ||

text: Wakefield

text: (13–10) || ||

text: Angel Stadium of Anaheim

text: || 44,177 || 66–46 || style="background-color:#bbffbb;" | +4|- style="background-color:#ffbbbb"| 113 || August 8 ||

text: Red Sox

text: || 9–6 ||

text: Okajima

text: (3–0) ||

text: Speier

text: (1–3) ||

text: Papelbon

text: (26) ||

text: Angel Stadium of Anaheim

text: || 44,243 || 66–47 || style="background-color:#bbffbb;" | +3|- style="background-color:#bbffbb"| 114 || August 10 ||

text: Twins

text: || 10–1 ||

text: Escobar

text: (12–6) ||

text: Baker

text: (6–5) || ||

text: Angel Stadium of Anaheim

text: || 43,810 || 67–47 || style="background-color:#bbffbb;" | +3½|- style="background-color:#bbffbb"| 115 || August 11 ||

text: Twins

text: || 4–3 ||

text: Lackey

text: (15–6) ||

text: Neshek

text: (6–2) ||

text: Rodríguez

text: (29) ||

text: Angel Stadium of Anaheim

text: || 44,064 || 68–47 || style="background-color:#bbffbb;" | +3½|- style="background-color:#bbffbb"| 116 || August 12 ||

text: Twins

text: || 6–2 ||

text: Weaver

text: (8–5) ||

text: Bonser

text: (5–9) || ||

text: Angel Stadium of Anaheim

text: || 43,911 || 69–47 || style="background-color:#bbffbb;" | +3½|- style="background-color:#ffbbbb"| 117 || August 14 || @

text: Blue Jays

text: || 4–1 ||

text: Halladay

text: (14–5) ||

text: Saunders

text: (6–1) || ||

text: Rogers Centre

text: || 31,978 || 69–48 || style="background-color:#bbffbb;" | +3|- style="background-color:#ffbbbb"| 118 || August 15 || @

text: Blue Jays

text: || 2–1 ||

text: Marcum

text: (10–4) ||

text: Moseley

text: (4–2) ||

text: Accardo

text: (23) ||

text: Rogers Centre

text: || 30,353 || 69–49 || style="background-color:#bbffbb;" | +3|- style="background-color:#bbffbb"| 119 || August 16 || @

text: Blue Jays

text: || 4–3 ||

text: Escobar

text: (13–6) ||

text: McGowan

text: (8–7)  ||

text: Rodríguez

text: (30) ||

text: Rogers Centre

text: || 27,861 || 70–49 || style="background-color:#bbffbb;" | +3½|- style="background-color:#ffbbbb"| 120 || August 17 || @

text: Red Sox

text: || 8–4 ||

text: Buchholz

text: (1–0) ||

text: Lackey

text: (15–7) ||

text: Papelbon

text: (29) ||

text: Fenway Park

text: || 36,686 || 70–50 || style="background-color:#bbffbb;" | +3|- style="background-color:#bbffbb"| 121 || August 17 || @

text: Red Sox

text: || 7–5 ||

text: Rodríguez

text: (5–2) ||

text: Gagné

text: (3–1) || ||

text: Fenway Park

text: || 36,538 || 71–50 || style="background-color:#bbffbb;" | +3|- style="background-color:#ffbbbb"| 122 || August 18 || @

text: Red Sox

text: || 10–5 ||

text: Schilling

text: (7–5) ||

text: Weaver

text: (8–6) || ||

text: Fenway Park

text: || 36,652 || 71–51 || style="background-color:#bbffbb;" | +2|- style="background-color:#bbffbb"| 123 || August 19 || @

text: Red Sox

text: || 3–1 ||

text: Saunders

text: (7–1) ||

text: Tavárez

text: (6–9) ||

text: Rodríguez

text: (31) ||

text: Fenway Park

text: || 36,346 || 72–51 || style="background-color:#bbffbb;" | +2|- style="background-color:#bbffbb"| 124 || August 20 ||

text: Yankees

text: || 7–6 (10)||

text: Oliver

text: (1–0) ||

text: Henn

text: (2–1) || ||

text: Angel Stadium of Anaheim

text: || 44,249 || 73–51 || style="background-color:#bbffbb;" | +2|- style="background-color:#bbffbb"| 125 || August 21 ||

text: Yankees

text: || 18–9 ||

text: Escobar

text: (14–6) ||

text: Mussina

text: (8–9) ||

text: Gwyn

text: (1) ||

text: Angel Stadium of Anaheim

text: || 44,264 || 74–51 || style="background-color:#bbffbb;" | +2|- style="background-color:#ffbbbb"| 126 || August 22 ||

text: Yankees

text: || 8–2 ||

text: Pettitte

text: (11–7) ||

text: Lackey

text: (15–8) || ||

text: Angel Stadium of Anaheim

text: || 44,326 || 74–52 || style="background-color:#bbffbb;" | +2|- style="background-color:#ffbbbb"| 127 || August 23 ||

text: Blue Jays

text: || 5–4 ||

text: Litsch

text: (5–6) ||

text: Santana

text: (5–12) ||

text: Accardo

text: (25) ||

text: Angel Stadium of Anaheim

text: || 41,009 || 74–53 || style="background-color:#bbffbb;" | +1|- style="background-color:#bbffbb"| 128 || August 24 ||

text: Blue Jays

text: || 3–0 ||

text: Weaver

text: (9–6) ||

text: Halladay

text: (14–6) ||

text: Rodríguez

text: (32) ||

text: Angel Stadium of Anaheim

text: || 41,131 || 75–53 || style="background-color:#bbffbb;" | +1|- style="background-color:#ffbbbb"| 129 || August 25 ||

text: Blue Jays

text: || 9–2 ||

text: Marcum

text: (11–5) ||

text: Saunders

text: (7–2) || ||

text: Angel Stadium of Anaheim

text: || 41,631 || 75–54 || style="background-color:#bbffbb;" | +1|- style="background-color:#bbffbb"| 130 || August 26 ||

text: Blue Jays

text: || 3–1 ||

text: Escobar

text: (15–6) ||

text: McGowan

text: (8–8) ||

text: Rodríguez

text: (33) ||

text: Angel Stadium of Anaheim

text: || 40,565 || 76–54 || style="background-color:#bbffbb;" | +2|- style="background-color:#bbffbb"| 131 || August 27 || @

text: Mariners

text: || 6–0 ||

text: Lackey

text: (16–8) ||

text: Batista

text: (13–10) || ||

text: Safeco Field

text: || 45,998 || 77–54 || style="background-color:#bbffbb;" | +3|- style="background-color:#bbffbb"| 132 || August 28 || @

text: Mariners

text: || 10–6 ||

text: Speier

text: (2–3) ||

text: Morrow

text: (3–3) || ||

text: Safeco Field

text: || 44,395 || 78–54 || style="background-color:#bbffbb;" | +4|- style="background-color:#bbffbb"| 133 || August 29 || @

text: Mariners

text: || 8–2 ||

text: Weaver

text: (10–6) ||

text: Hernández

text: (10–7) || ||

text: Safeco Field

text: || 46,047 || 79–54 || style="background-color:#bbffbb;" | +5|- style="background-color:#bbffbb"| 134 || August 31 ||

text: Rangers

text: || 7–6 (10) ||

text: Oliver

text: (2–0) ||

text: Francisco

text: (1–1) || ||

text: Angel Stadium of Anaheim

text: || 41,012 || 80–54 || style="background-color:#bbffbb;" | +6½! style="background-color:#DDDDFF" width="160px" | Stadium! style="background-color:#DDDDFF" width="71px" | Attendance! style="background-color:#DDDDFF" width="53px" | Record! style="background-color:#DDDDFF" width="42px" | GB|- style="background-color:#ffbbbb"| 135 || September 1 ||

text: Rangers

text: || 7–6 ||

text: Vólquez

text: (1–0) ||

text: Escobar

text: (15–7) ||

text: Wilson

text: (9) ||

text: Angel Stadium of Anaheim

text: || 38,342 || 80–55 || style="background-color:#bbffbb;" | +6½|- style="background-color:#ffbbbb"| 136 || September 2 ||

text: Rangers

text: || 8–7 ||

text: Littleton

text: (3–1) ||

text: Shields

text: (3–5) ||

text: Wilson

text: (10) ||

text: Angel Stadium of Anaheim

text: || 40,635 || 80–56 || style="background-color:#bbffbb;" | +6½|- style="background-color:#bbffbb"| 137 || September 3 ||

text: Athletics

text: || 9–5 ||

text: Santana

text: (6–12) ||

text: Gaudin

text: (10–10) || ||

text: Angel Stadium of Anaheim

text: || 39,164 || 81–56 || style="background-color:#bbffbb;" | +6½|- style="background-color:#bbffbb"| 138 || September 4 ||

text: Athletics

text: || 4–3 ||

text: Weaver

text: (11–6) ||

text: DiNardo

text: (8–8) ||

text: Rodríguez

text: (34) ||

text: Angel Stadium of Anaheim

text: || 39,017 || 82–56 || style="background-color:#bbffbb;" | +7½|- style="background-color:#ffbbbb"| 139 || September 5 ||

text: Athletics

text: || 6–2 ||

text: Blanton

text: (12–9) ||

text: Saunders

text: (7–3) || ||

text: Angel Stadium of Anaheim

text: || 34,000 || 82–57 || style="background-color:#bbffbb;" | +7½|- style="background-color:#bbffbb"| 140 || September 6 ||

text: Indians

text: || 10–3 ||

text: Escobar

text: (16–7) ||

text: Byrd

text: (14–6) || ||

text: Angel Stadium of Anaheim

text: || 41,720 || 83–57 || style="background-color:#bbffbb;" | +8|- style="background-color:#bbffbb"| 141 || September 7 ||

text: Indians

text: || 3–2 (10) ||

text: Shields

text: (4–5) ||

text: Betancourt

text: (4–1) || ||

text: Angel Stadium of Anaheim

text: || 40,020 || 84–57 || style="background-color:#bbffbb;" | +9|- style="background-color:#ffbbbb"| 142 || September 8 ||

text: Indians

text: || 6–1 ||

text: Sabathia

text: (17–7) ||

text: Santana

text: (6–13) || ||

text: Angel Stadium of Anaheim

text: || 43,544 || 84–58 || style="background-color:#bbffbb;" | +9|- style="background-color:#ffbbbb"| 143 || September 9 ||

text: Indians

text: || 6–2 ||

text: Laffey

text: (3–1) ||

text: Weaver

text: (11–7) || ||

text: Angel Stadium of Anaheim

text: || 40,037 || 84–59 || style="background-color:#bbffbb;" | +8|- style="background-color:#bbffbb"| 144 || September 11 || @

text: Orioles

text: || 10–5 ||

text: Saunders

text: (8–3) ||

text: Santos

text: (1–5) || ||

text: Oriole Park at Camden Yards

text: || 15,371 || 85–59 || style="background-color:#bbffbb;" | +9½|- style="background-color:#bbffbb"| 145 || September 12 || @

text: Orioles

text: || 18–6 ||

text: Escobar

text: (17–7) ||

text: Cabrera

text: (9–16) || ||

text: Oriole Park at Camden Yards

text: || 15,136 || 86–59 || style="background-color:#bbffbb;" | +9½|- style="background-color:#ffbbbb"| 146 || September 13 || @

text: Orioles

text: || 3–0 ||

text: Leicester

text: (2–1) ||

text: Lackey

text: (16–9) ||

text: Walker

text: (5) ||

text: Oriole Park at Camden Yards

text: || 16,359 || 86–60 || style="background-color:#bbffbb;" | +8½|- style="background-color:#ffbbbb"| 147 || September 14 || @

text: White Sox

text: || 5–3 ||

text: Contreras

text: (9–16) ||

text: Colón

text: (6–7) ||

text: Jenks

text: (38) ||

text: U.S. Cellular Field

text: || 33,581 || 86–61 || style="background-color:#bbffbb;" | +7½|- style="background-color:#bbffbb"| 148 || September 15 || @

text: White Sox

text: || 2–1 ||

text: Weaver

text: (12–7) ||

text: Garland

text: (9–12) ||

text: Rodríguez

text: (35) ||

text: U.S. Cellular Field

text: || 36,485 || 87–61 || style="background-color:#bbffbb;" | +8½|- style="background-color:#ffbbbb"| 149 || September 16 || @

text: White Sox

text: || 9–7 ||

text: MacDougal

text: (2–5) ||

text: Moseley

text: (4–3) || ||

text: U.S. Cellular Field

text: || 29,010 || 87–62 || style="background-color:#bbffbb;" | +8½|- style="background-color:#bbffbb"| 150 || September 17 ||

text: Devil Rays

text: || 10–7 ||

text: Oliver

text: (3–0) ||

text: Jackson

text: (4–15) || ||

text: Angel Stadium of Anaheim

text: || 37,530 || 88–62 || style="background-color:#bbffbb;" | +8½|- style="background-color:#bbffbb"| 151 || September 18 ||

text: Devil Rays

text: || 2–1 ||

text: Lackey

text: (17–9) ||

text: Hammel

text: (2–5) ||

text: Rodríguez

text: (36) ||

text: Angel Stadium of Anaheim

text: || 36,313 || 89–62 || style="background-color:#bbffbb;" | +8½|- style="background-color:#bbffbb"| 152 || September 19 ||

text: Devil Rays

text: || 2–1 ||

text: Santana

text: (7–13) ||

text: Howell

text: (1–5) ||

text: Rodríguez

text: (37) ||

text: Angel Stadium of Anaheim

text: || 33,699 || 90–62 || style="background-color:#bbffbb;" | +8½|- style="background-color:#bbffbb"| 153 || September 20 ||

text: Mariners

text: || 9–5 ||

text: Weaver

text: (13–7) ||

text: Feierabend

text: (1–5) || ||

text: Angel Stadium of Anaheim

text: || 40,016 || 91–62 || style="background-color:#bbffbb;" | +9½|- style="background-color:#ffbbbb"| 154 || September 21 ||

text: Mariners

text: || 6–0 ||

text: Washburn

text: (10–15) ||

text: Saunders

text: (8–4) || ||

text: Angel Stadium of Anaheim

text: || 44,018 || 91–63 || style="background-color:#bbffbb;" | +8½|- style="background-color:#ffbbbb"| 155 || September 22 ||

text: Mariners

text: || 3–2 ||

text: Batista

text: (15–11) ||

text: Colón

text: (6–8) ||

text: Putz

text: (39) ||

text: Angel Stadium of Anaheim

text: || 43,583 || 91–64 || style="background-color:#bbffbb;" | +7½|- style="background-color:#bbffbb"| 156 || y-September 23 ||

text: Mariners

text: || 7–4 ||

text: Lackey

text: (18–9) ||

text: Weaver, Jeff

text: (7–13) ||

text: Rodríguez

text: (38) ||

text: Angel Stadium of Anaheim

text: || 44,234 || 92–64 || style="background-color:#bbffbb;" | +8½|- style="background-color:#ffbbbb"| 157 || September 24 || @

text: Rangers

text: || 8–7 ||

text: White

text: (2–0) ||

text: Santana

text: (7–14) ||

text: Littleton

text: (2) ||

text: Ameriquest Field in Arlington

text: || 22,881 || 92–65 || style="background-color:#bbffbb;" | +8|- style="background-color:#ffbbbb"| 158 || September 25 || @

text: Rangers

text: || 3–1 ||

text: Wright

text: (4–5) ||

text: Oliver

text: (3–1) || ||

text: Ameriquest Field in Arlington

text: || 30,708 || 92–66 || style="background-color:#bbffbb;" | +8|- style="background-color:#ffbbbb"| 159 || September 26 || @

text: Rangers

text: || 16–2 ||

text: Rheinecker

text: (4–3) ||

text: Saunders

text: (8–4) || ||

text: Ameriquest Field in Arlington

text: || 24,223 || 92–67 || style="background-color:#bbffbb;" | +7½|- style="background-color:#bbffbb"| 160 || September 28 || @

text: Athletics

text: || 2–0 ||

text: Lackey

text: (19–9) ||

text: Haren

text: (15–9) ||

text: Rodríguez

text: (39) ||

text: McAfee Coliseum

text: || 32,287 || 93–67 || style="background-color:#bbffbb;" | +7|- style="background-color:#bbffbb"| 161 || September 29 || @

text: Athletics

text: || 3–2 ||

text: Escobar

text: (18–7) ||

text: DiNardo

text: (8–10) ||

text: Rodríguez

text: (40) ||

text: McAfee Coliseum

text: || 26,480 || 94–67 || style="background-color:#bbffbb;" | +7|- style="background-color:#ffbbbb"| 162 || September 30 || @

text: Athletics

text: || 3–2 ||

text: Street

text: (5–2) ||

text: Bootcheck

text: (3–3) || ||

text: McAfee Coliseum

text: || 28,062 || 94–68 || style="background-color:#bbffbb;" | +6

text: Sources:|-!colspan=9 style="background:#FFC600; color:#000000;"| Exhibition|-!colspan=9 style="background:#FFC600; color:#000000;"| Non-Conference Games|-!colspan=9 style="background:#FFC600; color:#000000;"| Conference Games|-!colspan=9 style="background:#FFFFFF; color:#342A7B;"| 2014 Big 12 Women's Basketball Tournament|-!colspan=9 style="background:#FFFFFF; color:#342A7B;"| 2014 NCAA Women's Tournament

text: Sources:|-!colspan=9 style="background:#FFC600; color:#000000;"| Exhibition|-!colspan=9 style="background:#FFC600; color:#000000;"| Non-Conference Games|-!colspan=9 style="background:#FFC600; color:#000000;"| Conference Games|-!colspan=9 style="background:#FFFFFF; color:#342A7B;"|

entity_name: 2014 Big 12 Conference Women's Basketball Tournament

text: 2014 Big 12 Women's Basketball Tournament

text: |-!colspan=9 style="background:#FFFFFF; color:#342A7B;"|

entity_name: 2014 NCAA Women's Division I Basketball Tournament

text: 2014 NCAA Women's Tournament

text: 'Royal purple' (shown above) or the dark violet color known as generic purple is the common layman's idea of purple, but professional artists, following Munsell color system (introduced in 1905 and widely accepted by 1930), regard purple as being synonymous with the red-violet color shown at right, represented by the web color medium violet red, in order to clearly distinguish purple from violet and thus have access to a larger palette of colors. This red-violet color, called artist's purple by artists, is the pigment color that would be on a pigment color color wheel between pigment violet and pigment (process) magenta. In the Munsell color system, this color at its maximum chroma of 12 is called Red-Purple, or more specifically Munsell 5RP.

text: 'Royal purple' (shown above) or the dark violet color known as generic purple is the common layman's idea of purple, but professional artists, following

text: Munsell color system

text: (introduced in 1905 and widely accepted by 1930), regard purple as being synonymous with the

text: red-violet

text: color shown at right, represented by the

text: web color

text: medium violet red, in order to clearly distinguish purple from violet and thus have access to a larger palette of colors. This red-violet color, called artist's purple by artists, is the pigment color that would be on a pigment color color wheel between pigment

text: violet

text: and pigment (process)

entity_section: Process magenta (pigment magenta; printer's magenta) (1890s)

text: magenta

text: . In the Munsell color system, this color at its maximum chroma of 12 is called Red-Purple, or more specifically Munsell 5RP.

text: The photoreceptor cells involved in vision are the rods and cones. These cells contain a chromophore (11-cis retinal, the aldehyde of Vitamin A1 and light-absorbing portion) bound to cell membrane protein, opsin. Rods deal with low light level and do not mediate color vision. Cones, on the other hand, can code the color of an image through comparison of the outputs of the three different types of cones. Each cone type responds best to certain wavelengths, or colors, of light because each type has a slightly different opsin. The three types of cones are L-cones, M-cones and S-cones that respond optimally to long wavelengths (reddish color), medium wavelengths (greenish color), and short wavelengths (bluish color) respectively. Humans have a trichromatic visual system consisting of three unique systems, rods, mid and long-wavelength sensitive (red and green) cones and short wavelength sensitive (blue) cones.

text: The

text: photoreceptor cell

text: s involved in vision are the

text: rods

text: and

text: cones

text: . These cells contain a

text: chromophore

text: 11-cis retinal

text: , the

text: aldehyde

text: of

text: Vitamin A1

text: and light-absorbing portion) bound to cell membrane protein,

text: opsin

text: . Rods deal with low light level and do not mediate color vision. Cones, on the other hand, can code the color of an image through comparison of the outputs of the three different types of cones. Each cone type responds best to certain

text: wavelength

text: s, or colors, of light because each type has a slightly different opsin. The three types of cones are L-cones, M-cones and S-cones that respond optimally to long wavelengths (reddish color), medium wavelengths (greenish color), and short wavelengths (bluish color) respectively. Humans have a trichromatic visual system consisting of three unique systems, rods, mid and long-wavelength sensitive (red and green) cones and short wavelength sensitive (blue) cones.

text: Total color blindness is defined as the inability to see color. Although the term may refer to acquired disorders such as cerebral achromatopsia also known as color agnosia, it typically refers to congenital color vision disorders (i.e. more frequently rod monochromacy and less frequently cone monochromacy).

text: Total color blindness

text: is defined as the inability to see color. Although the term may refer to acquired disorders such as

text: cerebral achromatopsia

text: also known as color agnosia, it typically refers to congenital color vision disorders (i.e. more frequently

text: rod monochromacy

text: and less frequently

text: cone monochromacy

text: As with other variants of synesthesia, sound-color synesthesia can be divided into groups based on the way the colors are experienced. Those that 'see' or perceive the color as being in the external space are often called projectors, and those that perceive the color in the mind's eye are often called associators, but these terms can be very misleading in terms of understanding the true nature of the experience. For most synesthetes, the condition is not wholly sensory/perceptual.

text: Better color separation can be reached by three-CCD devices (3CCD) and a dichroic beam splitter prism, that splits the image into red, green and blue components. Each of the three CCDs is arranged to respond to a particular color. Many professional video camcorders, and some semi-professional camcorders, use this technique, although developments in competing CMOS technology have made CMOS sensors, both with beam-splitters and bayer filters, increasingly popular in high-end video and digital cinema cameras. Another advantage of 3CCD over a Bayer mask device is higher quantum efficiency (and therefore higher light sensitivity for a given aperture size). This is because in a 3CCD device most of the light entering the aperture is captured by a sensor, while a Bayer mask absorbs a high proportion (about 2/3) of the light falling on each CCD pixel.

text: Better color separation can be reached by three-CCD devices (

text: ) and a

text: dichroic beam splitter prism

text: , that splits the

text: image

text: into

text: red

text: green

text: and

text: blue

text: components. Each of the three CCDs is arranged to respond to a particular color. Many

text: professional video

text: camcorders, and some semi-professional camcorders, use this technique, although developments in competing CMOS technology have made CMOS sensors, both with beam-splitters and bayer filters, increasingly popular in high-end video and digital cinema cameras. Another advantage of 3CCD over a Bayer mask device is higher

text: quantum efficiency

text: (and therefore higher light sensitivity for a given aperture size). This is because in a 3CCD device most of the light entering the aperture is captured by a sensor, while a Bayer mask absorbs a high proportion (about 2/3) of the light falling on each CCD pixel.

text: Cosmetic coloration is another mechanism by which male birds use to try to attract a mate. Cosmetic coloration involves brightening of a birds feathers, thus making it more attractive to females. Cosmetic coloration has two different types. The first is a type is when substances are produced by the bird itself such as uropygial gland secretions, skin secretions, and powder. The second kind are substances that the bird acquires from the environment such as soil or vegetal matter contained in carcass viscera and fresh vegetation. The first type of coloration, whereby the animal produces the substances for coloration, is directed by secretions of the uropygial gland. This gland secretes waxes and oils that make feathers appear glossier which causes an increase in brightness. The feathers coated with the preen oils look brighter and the degree to which the plumage was glossy was a way in which mates could determine the diet or overall health of the individual.  The uropygial gland also can change the shape of the reflected light off the feathers, which alters what wavelengths of light are reflected. The secretions of the gland illustrate how this coloration is cosmetic. For example, species of hornbill produce colored gland secretions that they apply to their plumage, thereby changing the color of their feathers. Only sexually mature birds develop the coloration, which would lead to the inference that these secretions have something to do with the sexual activity of the birds. Another example is in the greater flamingo Phoenicopterus roseus. This study found that the flamingo applied these carotenoid rich secretions from the uropygial gland on its plumage and the resulting cosmetic coloration may influence mate choice. This data is supported by the findings that application of the oils was more frequent during periods where the flamingos were displaying for mates and the presence of the cosmetic coloration decreased after egg hatching, indicating that the coloration has the function of finding mates but it is not of use after a mate has been found. A last example is in the house finch where they found that preen waxes on feathers acted as cosmetics and that the waxes increased the signal content of feather traits. The signal content correlated to the condition of the individual and increased the signaling value to mates, and therefore affected mate choice, implying that cosmetic coloration has some effect on sexual selection. These carotenoid pigments have been seen in multiple families of birds and have been traced back Cenozoic era, indicating that these pigments have a strong evolutionary benefit to the individual. The second type of coloration that also involves gland secretions is with powder feathers. Powder feathers are modified feathers that disintegrate into a fine powder. These powder feathers are found on pigeons, parrots, and herons. Herons provide a great example of how cosmetic coloration is related to mate choice and sexual selection. In the whistling heron, they develop a yellowish color on their neck, stomach, and tail due to the powder feathers. The coloration due to the powder is more intense during breeding season. In bustards, males use a red powder during courtship displays to attract mates and then the powder fades after the display. These examples show how these modifications to feathers can affect mate choice. The last kind of cosmetic coloration is when external substances are used to color the feathers, such as dirt. In bearded vultures, individuals will bath in mud and the degree to which the mud stains the feathers is seen as a sign of dominance. This sign of dominance could then affect mate choice.

text: |- style="background-color:#ffbbbb"| 1 || April 5 ||@ Angels || 3–2 || Colón || Drese (0–1) || Rodríguez ||43,590 || 0–1|- style="background-color:#bbffbb"| 2 || April 6 ||@ Angels || 3–2 || Shouse (1–0) || Prinz  || ||35,077 || 1–1|- style="background-color:#ffbbbb"| 3 || April 7 ||@ Angels || 7–6 || Shields || Shouse (1–1) || ||35,169|| 1–2|- style="background-color:#ffbbbb"| 4 || April 8 ||@ Mariners || 9–6 || Putz || Regilio (0–1) || Guardado || 29,652 || 2–2|- style="background-color:#bbffbb"| 5 || April 9 ||@ Mariners || 7–6 || Brocail (1–0)|| Guardado || Cordero (1) || 31,501 || 2–3|- style="background-color:#bbffbb"| 6 || April 10 ||@ Mariners || 7–6 ||Riley (1–0) ||  Thornton|| Cordero (2) || 30,434 || 3–3|- style="background-color:#ffbbbb"| 7 || April 11 || Angels || 7–6 || Shields ||  Dickey (0–1) || Rodríguez || 50,054 || 3–4|- style="background-color:#ffbbbb"| 8 || April 12 || Angels || 13–8 || Lackey || Young (0–1) ||Shields || 23,061 || 3–5|- style="background-color:#bbffbb"| 9 || April 13 || Angels || 7–5 || Park (1–0) || Byrd || Cordero (3) || 21,625 || 4–5|- style="background-color:#ffbbbb"| 10 || April 14 || Blue Jays || 2–1 || Halladay || Astacio (0–1) || || 19,366 || 4–6|- style="background-color:#bbffbb"| 11 || April 15 || Blue Jays || 4–2 || Drese (1–1) || Lilly || Cordero (4) || 30,453 || 5–6|- style="background-color:#ffbbbb"| 12 || April 16 || Blue Jays || 8–0 || Chacín || Rogers (0–1) || || 40,499 || 5–7|- style="background-color:#bbffbb"| 13 || April 17 || Blue Jays || 6–5 || Young (1–1) || Towers || Cordero (5) || 31,310 || 6–7|- style="background-color:#ffbbbb"| 14 || April 18 || Athletics || 8–5 || Haren || Park (1–1) || Dotel || 20,939 || 6–8|- style="background-color:#bbffbb"| 15 || April 19 || Athletics || 3–0 || Astacio (1–1) || Blanton || Cordero (6) || 22,146 || 7–8|- style="background-color:#bbffbb"| 16 || April 20 || @ Devil Rays || 12–10 || Drese (2–1) || Webb || Cordero (7) || 8,816 || 8–8|- style="background-color:#ffbbbb"| 17 || April 21 || @ Devil Rays || 3–2 || Brazelton || Rogers (0–2) || Báez || 8,799 || 8–9|- style="background-color:#bbffbb"| 18 || April 22 || @ Yankees || 5–3 || Young (2–1) || Brown || Cordero (8) || 42,710 || 9–9|- style="background-color:#bbffbb"| 19 || April 23 || @ Yankees || 10–2 || Park (2–1) || Wright || || 44,731 || 10–9|- style="background-color:#ffbbbb"| 20 || April 24 || @ Yankees || 11–1 || Johnson || Astacio (1–2) || || 42,732 || 10–10|- style="background-color:#ffbbbb"| 21 || April 26 || Mariners || 7–4 || Piñeiro || Drese (2–2) || Guardado || 23,064 || 10–11|- style="background-color:#bbffbb"| 22 || April 27 || Mariners || 8–2 || Rogers (1–2) || Franklin || || 26,308 || 11–11|- style="background-color:#ffbbbb"| 23 || April 28 || Mariners || 4–1 || Meche || Young (2–2) || Guardado || 23,928 || 11–12|- style="background-color:#bbffbb"| 24 || April 29 || Red Sox || 7–2 || Park (3–1) || Wakefield || Mahay (1) || 43,933 || 12–12|- style="background-color:#ffbbbb"| 25 || April 30 || Red Sox || 9–2 || Arroyo || Astacio (1–3) || || 44,114 || 12–13|- style="background-color:#ffbbbb"| 26 || May 1 || Red Sox || 6–5 || Clement || Drese (2–3) || Foulke || 49,342 || 12–14|- style="background-color:#bbffbb"| 27 || May 2 || @Athletics || 3–2 || Shouse (2–1) || Harden || Cordero (9) || 10,144 || 13–14|- style="background-color:#bbffbb"| 28 || May 3 || @Athletics || 6–1 || Young (3–2) || Saarloos || || 10,427 || 14–14|- style="background-color:#bbffbb"| 29 || May 4 || @Athletics || 16–7 || Rogers (2–2) || Haren || || 15,654 || 15–14|- style="background-color:#ffbbbb"| 30 || May 6 || Indians || 8–6 || Lee || Astacio (1–4) || Wickman || 30,742 || 15–15|- style="background-color:#bbffbb"| 31 || May 7 || Indians || 6–1 || Drese (3–3) || Elarton || || 36,311 || 16–15|- style="background-color:#bbffbb"| 32 || May 8 || Indians || 7–2 || Rogers (3–2) || Westbrook || Cordero (10) || 23,203 || 17–15|- style="background-color:#ffbbbb"| 33 || May 9 || Tigers || 2–0 || Robertson || Cordero (0–1) || || 24,122 || 17–16|- style="background-color:#bbffbb"| 34 || May 10 || Tigers || 5–4 || Brocail (2–0) || Johnson || Cordero (11) || 24,766 || 18–16|- style="background-color:#ffbbbb"| 35 || May 11 || Tigers || 6–5 || Walker || Mahay (0–1) || Urbina || 28,689 || 18–17|- style="background-color:#bbffbb"| 36 || May 13 || @Twins || 9–6 || Brocail (3–0) ||Nathan || Cordero (12) || 24,524 || 19–17|- style="background-color:#bbffbb"| 37 || May 14 || @Twins || 5–0 || Rogers (4–2) ||  Silva || || 28,624 || 20–17|- style="background-color:#ffbbbb"| 38 || May 15 || @Twins || 5–2 || Radke || Mahay (0–2) || Nathan || 27,891 || 20–18|- style="background-color:#bbffbb"| 39 || May 16 || @White Sox || 7–6 || Regilio (1–1) || Marte || Cordero (13) || 26,889 || 21–18|- style="background-color:#ffbbbb"| 40 || May 17 || @White Sox || 5–2 || Garland || Astacio (1–5) ||  Hermanson || 18,333 || 21–19|- style="background-color:#ffbbbb"| 41 || May 18 || @White Sox || 7–0 || Buehrle || Drese (3–4) || || 16,255 || 21–20|- style="background-color:#bbffbb"| 42 || May 20 || Astros || 7–3 || Rogers (5–2) || Backe || || 38,109 || 22–20|- style="background-color:#bbffbb"| 43 || May 21 || Astros || 18–3 || Young (4–2) || Astacio || || 35,781 || 23–20|- style="background-color:#bbffbb"| 44 || May 22 || Astros || 2–0 || Park (4–1) || Oswalt || Cordero (14) || 40,583 || 24–20|- style="background-color:#bbffbb"| 45 || May 24 || Royals || 4–3 || Drese (4–4) ||Hernández || Cordero (15) || 27,449 || 25–20|- style="background-color:#bbffbb"| 46 || May 25 || Royals || 7–3 || Astacio (2–5) || Greinke || || 23,755 || 26–20|- style="background-color:#bbffbb"| 47 || May 26 || Royals || 8–1 || Rogers (6–2) || Lima || || 25,022 || 27–20|- style="background-color:#bbffbb"| 48 || May 27 || White Sox || 6–2 || Young (5–2) || McCarthy || Cordero (16) || 31,149 || 28–20|- style="background-color:#bbbbbb"| -- || May 28 || colspan=6 | Postponed || 29–20|- style="background-color:#bbffbb"| 49 || May 29 || White Sox || 12–4 || Park (5–1) || Garland || || 36,265 || 29–20|- style="background-color:#bbffbb"| 50 || May 31 || @Tigers || 8–2 || Rogers (7–2) ||  Maroth || || 16,931 || 30–20|- style="background-color:#ffbbbb"| 51 || June 1 || @Tigers || 6–4 || Bonderman || Drese (4–5) || Urbina || 15,428 || 30–21|- style="background-color:#ffbbbb"| 52 || June 2 || @Tigers || 6–5 || Urbina || Regilio (1–2) || || 21,166 || 30–22|- style="background-color:#ffbbbb"| 53 || June 3 || @Royals || 2–1 || Sisco || Astacio (2–6) || MacDougal || 11,635 || 30–23|- style="background-color:#bbffbb"| 54 || June 4 || @Royals || 14–9 || Park (6–1) || Lima || || 18,808 || 31–23|- style="background-color:#bbffbb"| 55 || June 5 || @Royals || 8–1 || Rogers (8–2) || Greinke || || 21,424 || 32–23|- style="background-color:#ffbbbb"| 56 || June 7 || @Phillies || 8–5 || Lieber || Drese (4–6) || Wagner || 33,616 || 32–24|- style="background-color:#ffbbbb"| 57 || June 8 || @Phillies || 2–0 || Fultz|| Young (5–3) ||  Wagner || 24,339 || 32–25|- style="background-color:#ffbbbb"| 58 || June 9 || @Phillies || 10–8 || Padilla || Astacio (2–7) ||  Wagner || 25,205 || 32–26|- style="background-color:#ffbbbb"| 59 || June 10 || @Marlins || 12–5 || Jones || Brocail (3–1) || || 16,622 || 32–27|- style="background-color:#ffbbbb"| 60 || June 11 || @Marlins || 6–5 || Riedling || Domínguez (0–1) || Jones || 25,557 || 32–28|- style="background-color:#bbffbb"| 61 || June 12 || @Marlins || 6–2 || Rodríguez (1–0) || Moehler || Wasdin (1) || 21,303 || 33–28|- style="background-color:#bbffbb"| 62 || June 13 || Braves || 7–3 || Young (6–3) || Hudson || || 41,594 || 34–28|- style="background-color:#ffbbbb"| 63 || June 14 || Braves || 7–2 || Sosa || Astacio (2–8) || || 30,221 || 34–29|- style="background-color:#bbffbb"| 64 || June 15 || Braves || 9–5 || Park (7–1) || Davies || Cordero (17) || 33,663 || 35–29|- style="background-color:#bbffbb"| 65 || June 17 || Nationals || 8–1 || Rogers (9–2) || Patterson || || 33,653 || 36–29|- style="background-color:#bbffbb"| 66 || June 18 || Nationals || 7–4 || Rodríguez (2–0)|| Armas || || 48,663 || 37–29|- style="background-color:#ffbbbb"| 67 || June 19 || Nationals || 8–2 || Hughes || Wilson (0–1) || || 34,474 || 37–30|- style="background-color:#ffbbbb"| 68 || June 20 || @Angels || 5–1 || Byrd || Young (6–4) || || 41,007 || 37–31|- style="background-color:#ffbbbb"| 69 || June 21 || @Angels || 8–6 || Colón || Park (7–2) || || 43,025 || 37–32|- style="background-color:#ffbbbb"| 70 || June 22 || @Angels || 6–0 || Washburn || Rogers (9–3) || || 41,763 || 37–33|- style="background-color:#ffbbbb"| 71 || June 24 || @Astros || 5–2 || Oswalt || Rodríguez (2–1) || Lidge || 36,199 || 37–34|- style="background-color:#bbffbb"| 72 || June 25 || @Astros || 6–5 || Young (7–4) || Backe || Cordero (18) || 41,868 || 38–34|- style="background-color:#ffbbbb"| 73 || June 26 || @Astros || 3–2 || Qualls || Domínguez (0–2) || || 35,331 || 38–35|- style="background-color:#ffbbbb"| 74 || June 27 || Angels || 13–3 || Colón || Wilson (0–2) || || 34,471 || 38–36|- style="background-color:#ffbbbb"| 75 || June 28 || Angels || 5–1 ||  Donnelly || Loe (0–1) || || 27,159 || 38–37|- style="background-color:#bbffbb"| 76 || June 29 || Angels || 7–6 || Loe (1–1) || Shields || || 30,112 || 39–37|- style="background-color:#bbffbb"| 77 || June 30 || Angels || 18–5 || Young (8–4) || Santana || || 27,466 || 40–37|- style="background-color:#bbffbb"| 78 || July 1 || @Mariners || 6–2 || Park (8–2) || Sele || || 37,270 || 41–37|- style="background-color:#bbffbb"| 79 || July 2 || @Mariners || 6–5 || Loe (2–1) || Putz || Cordero (19) || 34,209 || 42–37|- style="background-color:#ffbbbb"| 80 || July 3 || @Mariners || 2–1 || Moyer || Rogers (9–4) || Guardado || 34,397 || 42–38|- style="background-color:#bbffbb"| 81 || July 4 || Red Sox || 6–5 || Benoit (1–0) || Foulke || || 50,492 || 43–38|- style="background-color:#ffbbbb"| 82 || July 5 || Red Sox || 7–4 || Wakefield || Young (8–5) || Timlin || 33,356 || 43–39|- style="background-color:#ffbbbb"| 83 || July 6 || Red Sox || 7–4 || Clement || Park (8–3) || Embree || 34,962 || 43–40|- style="background-color:#bbffbb"| 84 || July 8 || Blue Jays || 7–6 || Cordero (1–1) || Batista || || 30,242 || 44–40|- style="background-color:#bbffbb"| 85 || July 9 || Blue Jays || 12–10 || Rogers (10–4) || Downs || Cordero (20) || 36,285 || 45–40|- style="background-color:#bbffbb"| 86 || July 10 || Blue Jays || 9–8 || Loe (3–1) || Frasor || || 25,767 || 46–40|- style="background-color:#ffbbbb"| 87 || July 14 || @Athletics || 6–0 || Harden || Park (8–4) || || 17,987 || 46–41|- style="background-color:#ffbbbb"| 88 || July 15 || @Athletics || 7–2 || Zito || Wasdin (0–1) || || 22,423 || 46–42|- style="background-color:#bbffbb"| 89 || July 16 || @Athletics || 10–8 || Rogers (11–4) || Blanton || Cordero (21) || 22,826 || 47–42|- style="background-color:#ffbbbb"| 90 || July 17 || @Athletics || 5–4 || Kennedy || Loe (3–2) || || 25,330 || 47–43|- style="background-color:#ffbbbb"| 91 || July 18 || Yankees || 11–10 || Sturtze || Brocail (3–2) || Rivera || 46,538 || 47–44|- style="background-color:#bbffbb"| 92 || July 19 || Yankees || 2–1 || Loe (4–2) || Franklin || Cordero (22) || 45,208 || 48–44|- style="background-color:#ffbbbb"| 93 || July 20 || Yankees || 8–4 || Small || Benoit (1–1) || || 45,354 || 48-45|- style="background-color:#ffbbbb"| 94 || July 21 || Athletics || 6–4 || Witasick || Loe (4–3) || Street || 31,643 || 48–46|- style="background-color:#ffbbbb"| 95 || July 22 || Athletics || 11–10 || Haren || Young (8–6) || || 35,266 || 48–47|- style="background-color:#ffbbbb"| 96 || July 23 || Athletics || 5–4 || Saarloos || Rodríguez (2–2) ||Street || 38,841 || 48–48|- style="background-color:#ffbbbb"| 97 || July 24 || Athletics || 8–3 || Harden || Park (8–5) || || 29,410 || 48–49|- style="background-color:#bbffbb"| 98 || July 25 || Orioles || 4–2 || Benoit (2–1) || Cabrera || Cordero (23) || 29,314 || 49–49|- style="background-color:#ffbbbb"| 99 || July 26 || @Orioles || 5–4 || Grimsley || Baldwin (0–1) || Ryan || 25,235 || 49–50|- style="background-color:#bbffbb"| 100 || July 27 || @Orioles || 11–8 || Cordero (2–1) || Julio || Baldwin (1) || 31,540 || 50–50|- style="background-color:#bbffbb"| 101 || July 28 || @Orioles || 2–1 || Loe (5–3) || Ray || Cordero (24) || 22,254 || 51–50|- style="background-color:#bbffbb"| 102 || July 29 || @Blue Jays || 4–1 || Brocail (4–2) || Downs || Cordero (25) || 21,113 || 52–50|- style="background-color:#bbffbb"| 103 || July 30 || @Blue Jays || 3–2 || Benoit (3–1) || Frasor || Cordero (26) || 23,039 || 53–50|- style="background-color:#ffbbbb"| 104 || July 31 || @Blue Jays || 5–1 || Chacín || Wilson (0–3) || || 24,123 || 53–51|- style="background-color:#ffbbbb"| 105 || August 2 || Devil Rays || 10–8 || McClung ||Young (8–7) || Báez || 30,038 || 53–52|- style="background-color:#ffbbbb"| 106 || August 3 || Devil Rays || 8–5 || Harper || Rodríguez (2–3) || Báez || 30,513 || 53–53|- style="background-color:#bbffbb"| 107 || August 4 || Devil Rays || 13–5 || Gryboski (1–0) || Orvella || || 27,176 || 54–53|- style="background-color:#ffbbbb"| 108 || August 5 || Orioles || 10–5 || Chen || Wilson (0–4) || || 37,296 || 54–54|- style="background-color:#bbffbb"| 109 || August 6 || Orioles || 10–3 || Wasdin (1–1) || Cabrera ||Loe (1) || 34,632 || 55–54|- style="background-color:#bbffbb"| 110 || August 7 || Orioles || 9–3 || Young (9–7) || Ponson || || 27,137 || 56–54|- style="background-color:#ffbbbb"| 111 || August 8 || @Red Sox || 11–6 || González || Karsay (0–1) || || 35,453 || 56–55|- style="background-color:#ffbbbb"| 112 || August 9 || @Red Sox || 8–7 || Schilling || Gryboski (1–1) || || 35,308 || 56–56|- style="background-color:#ffbbbb"| 113 || August 10 || @Red Sox || 16–5 || Arroyo || Rogers (11–5) || || 35,379 || 56–57|- style="background-color:#ffbbbb"| 114 || August 11 || @Yankees || 9–8 || Sturtze || Baldwin (0–2) || Rivera || 54,283 || 56–58|- style="background-color:#ffbbbb"| 115 || August 12 || @Yankees || 6–5 || Leiter || Wilson (0–5) || Sturtze || 54,442 || 56–59|- style="background-color:#ffbbbb"| 116 || August 13 || @Yankees || 7–5 || Small || Loe (5–4) || || 54,919 || 56–60|- style="background-color:#ffbbbb"| 117 || August 14 || @Yankees || 10–3 || Chacón || Benoit (3–2) || || 54,824 || 56–61|- style="background-color:#ffbbbb"| 118 || August 16 || @Indians || 8–2 || Sabathia || Rogers (11–6) || || 27,403 || 56–62|- style="background-color:#bbffbb"| 119 || August 17 || @Indians || 3–0 || Young (10–7) || Millwood || Cordero (27) || 20,442 || 57–62|- style="background-color:#ffbbbb"| 120 || August 18 || @Indians || 9–4 || Westbrook || Wilson (0–6) || || 23,214 || 57–63|- style="background-color:#ffbbbb"| 121 || August 19 || @Devil Rays || 2–1 || McClung || Domínguez (0–3) ||Báez || 10,188 || 57–64|- style="background-color:#ffbbbb"| 122 || August 20 || @Devil Rays || 4–2 || Kazmir || Benoit (3–3) || Baez || 19,041 || 57–65|- style="background-color:#ffbbbb"| 123 || August 21 || @Devil Rays || 6–3 || Fossum ||Rogers (11–7) || Báez || 13,974 || 57–66|- style="background-color:#bbffbb"| 124 || August 23 || Mariners || 6–4 || Young (11–7) || Moyer || Cordero (28) || 25,653 || 58–66|- style="background-color:#bbffbb"| 125 || August 24 || Mariners || 8–1 || Domínguez (1–3) || Franklin ||  Wasdin (2) || 28,612 || 59–66|- style="background-color:#ffbbbb"| 126 || August 25 || Mariners || 8–2 || Harris || Benoit (3–4) || || 19,112 || 59–67|- style="background-color:#bbffbb"| 127 || August 26 || Twins || 6–0 || Loe (6–4) || Kyle Lohse || Wilson (1) || 28,877 || 60–67|- style="background-color:#ffbbbb"| 128 || August 27 || Twins || 7–2 || Nathan || Shouse (2–2) || || 25,351 || 60–68|- style="background-color:#bbffbb"| 129 || August 28 || Twins || 2–1 || Brocail (5–2) || Crain || || 20,882 || 61–68|- style="background-color:#bbffbb"| 130 || August 29 || White Sox || 7–5 || Domínguez (2–3) || Buehrle || Brocail (1) || 27,819 || 62–68|- style="background-color:#bbffbb"| 131 || August 30 || White Sox || 8–6 || Wilson (1–6) || Garland || Cordero (29) || n/a || 63–68|- style="background-color:#ffbbbb"| 132 || August 30 || White Sox || 8–0 || McCarthy || Vólquez (0–1) || || 28,183 || 63–69|- style="background-color:#bbffbb"| 133 || August 31 || White Sox || 9–2 || Loe (7–4) || Hernández || || 23,493 || 64–69|- style="background-color:#bbffbb"| 134 || September 1 || @Royals || 5–4 || Rogers (12–7) || Howell || Cordero (30) || 12,735 || 65–69|- style="background-color:#bbffbb"| 135 || September 2 || @Royals || 8–7 || Cordero (3–1) || MacDougal ||  Wasdin (3) || 14,425 || 66–69|- style="background-color:#bbffbb"| 136 || September 3 || @Royals || 5–3 || Domínguez (3–3)|| Carrasco || || 18,932 || 67–69|- style="background-color:#ffbbbb"| 137 || September 4 || @Royals || 17–8 ||Núñez || Vólquez (0–2) || || 15,512 || 67–70|- style="background-color:#bbffbb"| 138 || September 5 || @Twins || 7–0 || Loe (8–4) || Silva || || 15,627 || 68–70|- style="background-color:#bbffbb"| 139 || September 6 || @Twins || 10–7 ||  Wasdin (2–1)|| Nathan || Cordero (31) || 12,564 || 69–70|- style="background-color:#ffbbbb"| 140 || September 7 || @Twins || 8–6 || Romero || Brocail (5–3) || Nathan || 13,034 || 69–71|- style="background-color:#ffbbbb"| 141 || September 9 || Athletics || 9–8 || Zito || Domínguez (3–4) || Street || 26,468 || 69–72|- style="background-color:#ffbbbb"| 142 || September 10 || Athletics || 5–4 || Blanton|| Loe (8–5)|| Street || 41,058 || 69–73|- style="background-color:#bbffbb"| 143 || September 11 || Athletics || 7–4|| Rogers (13–7)|| Kennedy ||  Wasdin (4) || 19,913 || 70–73|- style="background-color:#ffbbbb"| 144 || September 12 || Orioles || 4–2 || Cabrera || Vólquez (0–3) ||Ryan || 20,418 || 70–74|- style="background-color:#ffbbbb"| 145 || September 13 || Orioles || 4–3 || Ray|| Wilson (1–7) || Ryan || 21,167 || 70–75|- style="background-color:#bbffbb"| 146 || September 14 || Orioles || 7–6 || Benoit (4–4) || Grimsley || || 18,077 || 71–75|- style="background-color:#bbffbb"| 147 || September 15 || Mariners || 4–3 || Loe (9–5) || Harris || Cordero (32) || 23,679 || 72–75|- style="background-color:#bbffbb"| 148 || September 16 || Mariners || 5–3 || Rupe (1–0) || Hernández || Cordero (33) || 25,567 || 73–75|- style="background-color:#bbffbb"| 149 || September 17 || Mariners || 7–6 || Shouse (3–2) || Guardado || || 41,983 || 74–75|- style="background-color:#bbffbb"| 150 || September 18 || Mariners || 8–6 || Dickey (1–1) || Franklin || Cordero (34) || 26,532 || 75–75|- style="background-color:#ffbbbb"| 151 || September 20 || @Angels || 2–1 || Colón || Domínguez (3–5) || Rodríguez || 36,170 || 75–76|- style="background-color:#ffbbbb"| 152 || September 21 || @Angels || 6–5 || Yan || Feldman (0–1) || Rodríguez || 37,776 || 75–77|- style="background-color:#ffbbbb"| 153 || September 22 || @Angels || 7–4 || Santana || Vólquez (0–4) ||  Escobar || 36,588 || 75–78|- style="background-color:#bbffbb"| 154 || September 23 || @Athletics || 3–1 || Rogers (14–7)|| Haren || Cordero (35) || 33,402 || 76–78|- style="background-color:#ffbbbb"| 155 || September 24 || @Athletics || 7–6|| Duchscherer ||  Wasdin (2–2) || Street || 26,704 || 76–79|- style="background-color:#bbffbb"| 156 || September 25 || @Athletics || 6–2 ||Domínguez (4–5) || Saarloos || || 27,709 || 77–79|- style="background-color:#bbffbb"| 157 || September 27 || @Mariners || 3–2 || Wasdin (3–2) || Mateo || Cordero (36) || 22,739 || 78–79|- style="background-color:#bbffbb"| 158 || September 28 || @Mariners || 7–3 || Young (12–7)|| Piñeiro || Cordero (37) || 20,723 || 79–79|- style="background-color:#ffbbbb"| 159 || September 29 || @Mariners || 4–3 || Franklin|| Rogers (14–8) || Guardado || 19,481 || 79–80|- style="background-color:#ffbbbb"| 160 || September 30 || Angels ||7–1 || Lackey || Dickey (1–2) || || 38,187 || 79–81|- style="background-color:#ffbbbb"| 161 || October 1 || Angels || 7–6 || Shields || Domínguez (4–6) ||Rodríguez || 48,174 || 79–82|- style="background-color:#ffbbbb"| 162 || October 2 || Angels || 7–4 || Santana || Loe (9–6) || Rodríguez || 38,334 || 79–83|-|Source: ESPN.com

text: |- style="background-color:#ffbbbb"| 1 || April 5 ||@

text: Angels

text: || 3–2 ||

text: Colón

text: Drese

text: (0–1) ||

text: Rodríguez

text: ||43,590 || 0–1|- style="background-color:#bbffbb"| 2 || April 6 ||@

text: Angels

text: || 3–2 ||

text: Shouse

text: (1–0) ||

text: Prinz

text: || ||35,077 || 1–1|- style="background-color:#ffbbbb"| 3 || April 7 ||@

text: Angels

text: || 7–6 ||

text: Shields

text: Shouse

text: (1–1) || ||35,169|| 1–2|- style="background-color:#ffbbbb"| 4 || April 8 ||@

text: Mariners

text: || 9–6 ||

text: Putz

text: Regilio

text: (0–1) ||

text: Guardado

text: || 29,652 || 2–2|- style="background-color:#bbffbb"| 5 || April 9 ||@

text: Mariners

text: || 7–6 ||

text: Brocail

text: Guardado

text: Cordero

text: (1) || 31,501 || 2–3|- style="background-color:#bbffbb"| 6 || April 10 ||@

text: Mariners

text: || 7–6 ||

text: Riley

text: (1–0) ||

text: Thornton

text: Cordero

text: (2) || 30,434 || 3–3|- style="background-color:#ffbbbb"| 7 || April 11 ||

text: Angels

text: || 7–6 ||

text: Shields

text: Dickey

text: (0–1) ||

text: Rodríguez

text: || 50,054 || 3–4|- style="background-color:#ffbbbb"| 8 || April 12 ||

text: Angels

text: || 13–8 ||

text: Lackey

text: Young

text: (0–1) ||

text: Shields

text: || 23,061 || 3–5|- style="background-color:#bbffbb"| 9 || April 13 ||

text: Angels

text: || 7–5 ||

text: Park

text: (1–0) ||

text: Byrd

text: Cordero

text: (3) || 21,625 || 4–5|- style="background-color:#ffbbbb"| 10 || April 14 ||

text: Blue Jays

text: || 2–1 ||

text: Halladay

text: Astacio

text: (0–1) || || 19,366 || 4–6|- style="background-color:#bbffbb"| 11 || April 15 ||

text: Blue Jays

text: || 4–2 ||

text: Drese

text: (1–1) ||

text: Lilly

text: Cordero

text: (4) || 30,453 || 5–6|- style="background-color:#ffbbbb"| 12 || April 16 ||

text: Blue Jays

text: || 8–0 ||

text: Chacín

text: Rogers

text: (0–1) || || 40,499 || 5–7|- style="background-color:#bbffbb"| 13 || April 17 ||

text: Blue Jays

text: || 6–5 ||

text: Young

text: (1–1) ||

text: Towers

text: Cordero

text: (5) || 31,310 || 6–7|- style="background-color:#ffbbbb"| 14 || April 18 ||

text: Athletics

text: || 8–5 ||

text: Haren

text: Park

text: (1–1) ||

text: Dotel

text: || 20,939 || 6–8|- style="background-color:#bbffbb"| 15 || April 19 ||

text: Athletics

text: || 3–0 ||

text: Astacio

text: (1–1) ||

text: Blanton

text: Cordero

text: (6) || 22,146 || 7–8|- style="background-color:#bbffbb"| 16 || April 20 || @

text: Devil Rays

text: || 12–10 ||

text: Drese

text: (2–1) ||

text: Webb

text: Cordero

text: (7) || 8,816 || 8–8|- style="background-color:#ffbbbb"| 17 || April 21 || @

text: Devil Rays

text: || 3–2 ||

text: Brazelton

text: Rogers

text: (0–2) ||

text: Báez

text: || 8,799 || 8–9|- style="background-color:#bbffbb"| 18 || April 22 || @

text: Yankees

text: || 5–3 ||

text: Young

text: (2–1) ||

text: Brown

text: Cordero

text: (8) || 42,710 || 9–9|- style="background-color:#bbffbb"| 19 || April 23 || @

text: Yankees

text: || 10–2 ||

text: Park

text: (2–1) ||

text: Wright

text: || || 44,731 || 10–9|- style="background-color:#ffbbbb"| 20 || April 24 || @

text: Yankees

text: || 11–1 ||

text: Johnson

text: Astacio

text: (1–2) || || 42,732 || 10–10|- style="background-color:#ffbbbb"| 21 || April 26 ||

text: Mariners

text: || 7–4 ||

text: Piñeiro

text: Drese

text: (2–2) ||

text: Guardado

text: || 23,064 || 10–11|- style="background-color:#bbffbb"| 22 || April 27 ||

text: Mariners

text: || 8–2 ||

text: Rogers

text: (1–2) ||

text: Franklin

text: || || 26,308 || 11–11|- style="background-color:#ffbbbb"| 23 || April 28 ||

text: Mariners

text: || 4–1 ||

text: Meche

text: Young

text: (2–2) ||

text: Guardado

text: || 23,928 || 11–12|- style="background-color:#bbffbb"| 24 || April 29 ||

text: Red Sox

text: || 7–2 ||

text: Park

text: (3–1) ||

text: Wakefield

text: Mahay

text: (1) || 43,933 || 12–12|- style="background-color:#ffbbbb"| 25 || April 30 ||

text: Red Sox

text: || 9–2 ||

text: Arroyo

text: Astacio

text: (1–3) || || 44,114 || 12–13|- style="background-color:#ffbbbb"| 26 || May 1 ||

text: Red Sox

text: || 6–5 ||

text: Clement

text: Drese

text: (2–3) ||

text: Foulke

text: || 49,342 || 12–14|- style="background-color:#bbffbb"| 27 || May 2 || @

text: Athletics

text: || 3–2 ||

text: Shouse

text: (2–1) ||

text: Harden

text: Cordero

text: (9) || 10,144 || 13–14|- style="background-color:#bbffbb"| 28 || May 3 || @

text: Athletics

text: || 6–1 ||

text: Young

text: (3–2) ||

text: Saarloos

text: || || 10,427 || 14–14|- style="background-color:#bbffbb"| 29 || May 4 || @

text: Athletics

text: || 16–7 ||

text: Rogers

text: (2–2) ||

text: Haren

text: || || 15,654 || 15–14|- style="background-color:#ffbbbb"| 30 || May 6 ||

text: Indians

text: || 8–6 ||

text: Lee

text: Astacio

text: (1–4) ||

text: Wickman

text: || 30,742 || 15–15|- style="background-color:#bbffbb"| 31 || May 7 ||

text: Indians

text: || 6–1 ||

text: Drese

text: (3–3) ||

text: Elarton

text: || || 36,311 || 16–15|- style="background-color:#bbffbb"| 32 || May 8 ||

text: Indians

text: || 7–2 ||

text: Rogers

text: (3–2) ||

text: Westbrook

text: Cordero

text: (10) || 23,203 || 17–15|- style="background-color:#ffbbbb"| 33 || May 9 ||

text: Tigers

text: || 2–0 ||

text: Robertson

text: Cordero

text: (0–1) || || 24,122 || 17–16|- style="background-color:#bbffbb"| 34 || May 10 ||

text: Tigers

text: || 5–4 ||

text: Brocail

text: (2–0) ||

text: Johnson

text: Cordero

text: (11) || 24,766 || 18–16|- style="background-color:#ffbbbb"| 35 || May 11 ||

text: Tigers

text: || 6–5 ||

text: Walker

text: Mahay

text: (0–1) ||

text: Urbina

text: || 28,689 || 18–17|- style="background-color:#bbffbb"| 36 || May 13 || @

text: Twins

text: || 9–6 ||

text: Brocail

text: (3–0) ||

text: Nathan

text: Cordero

text: (12) || 24,524 || 19–17|- style="background-color:#bbffbb"| 37 || May 14 || @

text: Twins

text: || 5–0 ||

text: Rogers

text: (4–2) ||

text: Silva

text: || || 28,624 || 20–17|- style="background-color:#ffbbbb"| 38 || May 15 || @

text: Twins

text: || 5–2 ||

text: Radke

text: Mahay

text: (0–2) ||

text: Nathan

text: || 27,891 || 20–18|- style="background-color:#bbffbb"| 39 || May 16 || @

text: White Sox

text: || 7–6 ||

text: Regilio

text: (1–1) ||

text: Marte

text: Cordero

text: (13) || 26,889 || 21–18|- style="background-color:#ffbbbb"| 40 || May 17 || @

text: White Sox

text: || 5–2 ||

text: Garland

text: Astacio

text: (1–5) ||

text: Hermanson

text: || 18,333 || 21–19|- style="background-color:#ffbbbb"| 41 || May 18 || @

text: White Sox

text: || 7–0 ||

text: Buehrle

text: Drese

text: (3–4) || || 16,255 || 21–20|- style="background-color:#bbffbb"| 42 || May 20 ||

text: Astros

text: || 7–3 ||

text: Rogers

text: (5–2) ||

text: Backe

text: || || 38,109 || 22–20|- style="background-color:#bbffbb"| 43 || May 21 ||

text: Astros

text: || 18–3 ||

text: Young

text: (4–2) ||

text: Astacio

text: || || 35,781 || 23–20|- style="background-color:#bbffbb"| 44 || May 22 ||

text: Astros

text: || 2–0 ||

text: Park

text: (4–1) ||

text: Oswalt

text: Cordero

text: (14) || 40,583 || 24–20|- style="background-color:#bbffbb"| 45 || May 24 ||

text: Royals

text: || 4–3 ||

text: Drese

text: (4–4) ||

text: Hernández

text: Cordero

text: (15) || 27,449 || 25–20|- style="background-color:#bbffbb"| 46 || May 25 ||

text: Royals

text: || 7–3 ||

text: Astacio

text: (2–5) ||

text: Greinke

text: || || 23,755 || 26–20|- style="background-color:#bbffbb"| 47 || May 26 ||

text: Royals

text: || 8–1 ||

text: Rogers

text: (6–2) ||

text: Lima

text: || || 25,022 || 27–20|- style="background-color:#bbffbb"| 48 || May 27 ||

text: White Sox

text: || 6–2 ||

text: Young

text: (5–2) ||

text: McCarthy

text: Cordero

text: (16) || 31,149 || 28–20|- style="background-color:#bbbbbb"| -- || May 28 || colspan=6 | Postponed || 29–20|- style="background-color:#bbffbb"| 49 || May 29 ||

text: White Sox

text: || 12–4 ||

text: Park

text: (5–1) ||

text: Garland

text: || || 36,265 || 29–20|- style="background-color:#bbffbb"| 50 || May 31 || @

text: Tigers

text: || 8–2 ||

text: Rogers

text: (7–2) ||

text: Maroth

text: || || 16,931 || 30–20|- style="background-color:#ffbbbb"| 51 || June 1 || @

text: Tigers

text: || 6–4 ||

text: Bonderman

text: Drese

text: (4–5) ||

text: Urbina

text: || 15,428 || 30–21|- style="background-color:#ffbbbb"| 52 || June 2 || @

text: Tigers

text: || 6–5 ||

text: Urbina

text: Regilio

text: (1–2) || || 21,166 || 30–22|- style="background-color:#ffbbbb"| 53 || June 3 || @

text: Royals

text: || 2–1 ||

text: Sisco

text: Astacio

text: (2–6) ||

text: MacDougal

text: || 11,635 || 30–23|- style="background-color:#bbffbb"| 54 || June 4 || @

text: Royals

text: || 14–9 ||

text: Park

text: (6–1) ||

text: Lima

text: || || 18,808 || 31–23|- style="background-color:#bbffbb"| 55 || June 5 || @

text: Royals

text: || 8–1 ||

text: Rogers

text: (8–2) ||

text: Greinke

text: || || 21,424 || 32–23|- style="background-color:#ffbbbb"| 56 || June 7 || @

text: Phillies

text: || 8–5 ||

text: Lieber

text: Drese

text: (4–6) ||

text: Wagner

text: || 33,616 || 32–24|- style="background-color:#ffbbbb"| 57 || June 8 || @

text: Phillies

text: || 2–0 ||

text: Fultz

text: Young

text: (5–3) ||

text: Wagner

text: || 24,339 || 32–25|- style="background-color:#ffbbbb"| 58 || June 9 || @

text: Phillies

text: || 10–8 ||

text: Padilla

text: Astacio

text: (2–7) ||

text: Wagner

text: || 25,205 || 32–26|- style="background-color:#ffbbbb"| 59 || June 10 || @

text: Marlins

text: || 12–5 ||

text: Jones

text: Brocail

text: (3–1) || || 16,622 || 32–27|- style="background-color:#ffbbbb"| 60 || June 11 || @

text: Marlins

text: || 6–5 ||

text: Riedling

text: Domínguez

text: (0–1) ||

text: Jones

text: || 25,557 || 32–28|- style="background-color:#bbffbb"| 61 || June 12 || @

text: Marlins

text: || 6–2 ||

text: Rodríguez

text: (1–0) ||

text: Moehler

text: Wasdin

text: (1) || 21,303 || 33–28|- style="background-color:#bbffbb"| 62 || June 13 ||

text: Braves

text: || 7–3 ||

text: Young

text: (6–3) ||

text: Hudson

text: || || 41,594 || 34–28|- style="background-color:#ffbbbb"| 63 || June 14 ||

text: Braves

text: || 7–2 ||

text: Sosa

text: Astacio

text: (2–8) || || 30,221 || 34–29|- style="background-color:#bbffbb"| 64 || June 15 ||

text: Braves

text: || 9–5 ||

text: Park

text: (7–1) ||

text: Davies

text: Cordero

text: (17) || 33,663 || 35–29|- style="background-color:#bbffbb"| 65 || June 17 ||

text: Nationals

text: || 8–1 ||

text: Rogers

text: (9–2) ||

text: Patterson

text: || || 33,653 || 36–29|- style="background-color:#bbffbb"| 66 || June 18 ||

text: Nationals

text: || 7–4 ||

text: Rodríguez

text: Armas

text: || || 48,663 || 37–29|- style="background-color:#ffbbbb"| 67 || June 19 ||

text: Nationals

text: || 8–2 ||

text: Hughes

text: Wilson

text: (0–1) || || 34,474 || 37–30|- style="background-color:#ffbbbb"| 68 || June 20 || @

text: Angels

text: || 5–1 ||

text: Byrd

text: Young

text: (6–4) || || 41,007 || 37–31|- style="background-color:#ffbbbb"| 69 || June 21 || @

text: Angels

text: || 8–6 ||

text: Colón

text: Park

text: (7–2) || || 43,025 || 37–32|- style="background-color:#ffbbbb"| 70 || June 22 || @

text: Angels

text: || 6–0 ||

text: Washburn

text: Rogers

text: (9–3) || || 41,763 || 37–33|- style="background-color:#ffbbbb"| 71 || June 24 || @

text: Astros

text: || 5–2 ||

text: Oswalt

text: Rodríguez

text: (2–1) ||

text: Lidge

text: || 36,199 || 37–34|- style="background-color:#bbffbb"| 72 || June 25 || @

text: Astros

text: || 6–5 ||

text: Young

text: (7–4) ||

text: Backe

text: Cordero

text: (18) || 41,868 || 38–34|- style="background-color:#ffbbbb"| 73 || June 26 || @

text: Astros

text: || 3–2 ||

text: Qualls

text: Domínguez

text: (0–2) || || 35,331 || 38–35|- style="background-color:#ffbbbb"| 74 || June 27 ||

text: Angels

text: || 13–3 ||

text: Colón

text: Wilson

text: (0–2) || || 34,471 || 38–36|- style="background-color:#ffbbbb"| 75 || June 28 ||

text: Angels

text: || 5–1 ||

text: Donnelly

text: Loe

text: (0–1) || || 27,159 || 38–37|- style="background-color:#bbffbb"| 76 || June 29 ||

text: Angels

text: || 7–6 ||

text: Loe

text: (1–1) ||

text: Shields

text: || || 30,112 || 39–37|- style="background-color:#bbffbb"| 77 || June 30 ||

text: Angels

text: || 18–5 ||

text: Young

text: (8–4) ||

text: Santana

text: || || 27,466 || 40–37|- style="background-color:#bbffbb"| 78 || July 1 || @

text: Mariners

text: || 6–2 ||

text: Park

text: (8–2) ||

text: Sele

text: || || 37,270 || 41–37|- style="background-color:#bbffbb"| 79 || July 2 || @

text: Mariners

text: || 6–5 ||

text: Loe

text: (2–1) ||

text: Putz

text: Cordero

text: (19) || 34,209 || 42–37|- style="background-color:#ffbbbb"| 80 || July 3 || @

text: Mariners

text: || 2–1 ||

text: Moyer

text: Rogers

text: (9–4) ||

text: Guardado

text: || 34,397 || 42–38|- style="background-color:#bbffbb"| 81 || July 4 ||

text: Red Sox

text: || 6–5 ||

text: Benoit

text: (1–0) ||

text: Foulke

text: || || 50,492 || 43–38|- style="background-color:#ffbbbb"| 82 || July 5 ||

text: Red Sox

text: || 7–4 ||

text: Wakefield

text: Young

text: (8–5) ||

text: Timlin

text: || 33,356 || 43–39|- style="background-color:#ffbbbb"| 83 || July 6 ||

text: Red Sox

text: || 7–4 ||

text: Clement

text: Park

text: (8–3) ||

text: Embree

text: || 34,962 || 43–40|- style="background-color:#bbffbb"| 84 || July 8 ||

text: Blue Jays

text: || 7–6 ||

text: Cordero

text: (1–1) ||

text: Batista

text: || || 30,242 || 44–40|- style="background-color:#bbffbb"| 85 || July 9 ||

text: Blue Jays

text: || 12–10 ||

text: Rogers

text: (10–4) ||

text: Downs

text: Cordero

text: (20) || 36,285 || 45–40|- style="background-color:#bbffbb"| 86 || July 10 ||

text: Blue Jays

text: || 9–8 ||

text: Loe

text: (3–1) ||

text: Frasor

text: || || 25,767 || 46–40|- style="background-color:#ffbbbb"| 87 || July 14 || @

text: Athletics

text: || 6–0 ||

text: Harden

text: Park

text: (8–4) || || 17,987 || 46–41|- style="background-color:#ffbbbb"| 88 || July 15 || @

text: Athletics

text: || 7–2 ||

text: Zito

text: Wasdin

text: (0–1) || || 22,423 || 46–42|- style="background-color:#bbffbb"| 89 || July 16 || @

text: Athletics

text: || 10–8 ||

text: Rogers

text: (11–4) ||

text: Blanton

text: Cordero

text: (21) || 22,826 || 47–42|- style="background-color:#ffbbbb"| 90 || July 17 || @

text: Athletics

text: || 5–4 ||

text: Kennedy

text: Loe

text: (3–2) || || 25,330 || 47–43|- style="background-color:#ffbbbb"| 91 || July 18 ||

text: Yankees

text: || 11–10 ||

text: Sturtze

text: Brocail

text: (3–2) ||

text: Rivera

text: || 46,538 || 47–44|- style="background-color:#bbffbb"| 92 || July 19 ||

text: Yankees

text: || 2–1 ||

text: Loe

text: (4–2) ||

text: Franklin

text: Cordero

text: (22) || 45,208 || 48–44|- style="background-color:#ffbbbb"| 93 || July 20 ||

text: Yankees

text: || 8–4 ||

text: Small

text: Benoit

text: (1–1) || || 45,354 || 48-45|- style="background-color:#ffbbbb"| 94 || July 21 ||

text: Athletics

text: || 6–4 ||

text: Witasick

text: Loe

text: (4–3) ||

text: Street

text: || 31,643 || 48–46|- style="background-color:#ffbbbb"| 95 || July 22 ||

text: Athletics

text: || 11–10 ||

text: Haren

text: Young

text: (8–6) || || 35,266 || 48–47|- style="background-color:#ffbbbb"| 96 || July 23 ||

text: Athletics

text: || 5–4 ||

text: Saarloos

text: Rodríguez

text: (2–2) ||

text: Street

text: || 38,841 || 48–48|- style="background-color:#ffbbbb"| 97 || July 24 ||

text: Athletics

text: || 8–3 ||

text: Harden

text: Park

text: (8–5) || || 29,410 || 48–49|- style="background-color:#bbffbb"| 98 || July 25 ||

text: Orioles

text: || 4–2 ||

text: Benoit

text: (2–1) ||

text: Cabrera

text: Cordero

text: (23) || 29,314 || 49–49|- style="background-color:#ffbbbb"| 99 || July 26 || @

text: Orioles

text: || 5–4 ||

text: Grimsley

text: Baldwin

text: (0–1) ||

text: Ryan

text: || 25,235 || 49–50|- style="background-color:#bbffbb"| 100 || July 27 || @

text: Orioles

text: || 11–8 ||

text: Cordero

text: (2–1) ||

text: Julio

text: Baldwin

text: (1) || 31,540 || 50–50|- style="background-color:#bbffbb"| 101 || July 28 || @

text: Orioles

text: || 2–1 ||

text: Loe

text: (5–3) ||

text: Ray

text: Cordero

text: (24) || 22,254 || 51–50|- style="background-color:#bbffbb"| 102 || July 29 || @

text: Blue Jays

text: || 4–1 ||

text: Brocail

text: (4–2) ||

text: Downs

text: Cordero

text: (25) || 21,113 || 52–50|- style="background-color:#bbffbb"| 103 || July 30 || @

text: Blue Jays

text: || 3–2 ||

text: Benoit

text: (3–1) ||

text: Frasor

text: Cordero

text: (26) || 23,039 || 53–50|- style="background-color:#ffbbbb"| 104 || July 31 || @

text: Blue Jays

text: || 5–1 ||

text: Chacín

text: Wilson

text: (0–3) || || 24,123 || 53–51|- style="background-color:#ffbbbb"| 105 || August 2 ||

text: Devil Rays

text: || 10–8 ||

text: McClung

text: Young

text: (8–7) ||

text: Báez

text: || 30,038 || 53–52|- style="background-color:#ffbbbb"| 106 || August 3 ||

text: Devil Rays

text: || 8–5 ||

text: Harper

text: Rodríguez

text: (2–3) ||

text: Báez

text: || 30,513 || 53–53|- style="background-color:#bbffbb"| 107 || August 4 ||

text: Devil Rays

text: || 13–5 ||

text: Gryboski

text: (1–0) ||

text: Orvella

text: || || 27,176 || 54–53|- style="background-color:#ffbbbb"| 108 || August 5 ||

text: Orioles

text: || 10–5 ||

text: Chen

text: Wilson

text: (0–4) || || 37,296 || 54–54|- style="background-color:#bbffbb"| 109 || August 6 ||

text: Orioles

text: || 10–3 ||

text: Wasdin

text: (1–1) ||

text: Cabrera

text: Loe

text: (1) || 34,632 || 55–54|- style="background-color:#bbffbb"| 110 || August 7 ||

text: Orioles

text: || 9–3 ||

text: Young

text: (9–7) ||

text: Ponson

text: || || 27,137 || 56–54|- style="background-color:#ffbbbb"| 111 || August 8 || @

text: Red Sox

text: || 11–6 ||

text: González

text: Karsay

text: (0–1) || || 35,453 || 56–55|- style="background-color:#ffbbbb"| 112 || August 9 || @

text: Red Sox

text: || 8–7 ||

text: Schilling

text: Gryboski

text: (1–1) || || 35,308 || 56–56|- style="background-color:#ffbbbb"| 113 || August 10 || @

text: Red Sox

text: || 16–5 ||

text: Arroyo

text: Rogers

text: (11–5) || || 35,379 || 56–57|- style="background-color:#ffbbbb"| 114 || August 11 || @

text: Yankees

text: || 9–8 ||

text: Sturtze

text: Baldwin

text: (0–2) ||

text: Rivera

text: || 54,283 || 56–58|- style="background-color:#ffbbbb"| 115 || August 12 || @

text: Yankees

text: || 6–5 ||

text: Leiter

text: Wilson

text: (0–5) ||

text: Sturtze

text: || 54,442 || 56–59|- style="background-color:#ffbbbb"| 116 || August 13 || @

text: Yankees

text: || 7–5 ||

text: Small

text: Loe

text: (5–4) || || 54,919 || 56–60|- style="background-color:#ffbbbb"| 117 || August 14 || @

text: Yankees

text: || 10–3 ||

text: Chacón

text: Benoit

text: (3–2) || || 54,824 || 56–61|- style="background-color:#ffbbbb"| 118 || August 16 || @

text: Indians

text: || 8–2 ||

text: Sabathia

text: Rogers

text: (11–6) || || 27,403 || 56–62|- style="background-color:#bbffbb"| 119 || August 17 || @

text: Indians

text: || 3–0 ||

text: Young

text: (10–7) ||

text: Millwood

text: Cordero

text: (27) || 20,442 || 57–62|- style="background-color:#ffbbbb"| 120 || August 18 || @

text: Indians

text: || 9–4 ||

text: Westbrook

text: Wilson

text: (0–6) || || 23,214 || 57–63|- style="background-color:#ffbbbb"| 121 || August 19 || @

text: Devil Rays

text: || 2–1 ||

text: McClung

text: Domínguez

text: (0–3) ||

text: Báez

text: || 10,188 || 57–64|- style="background-color:#ffbbbb"| 122 || August 20 || @

text: Devil Rays

text: || 4–2 ||

text: Kazmir

text: Benoit

text: (3–3) ||

text: Baez

text: || 19,041 || 57–65|- style="background-color:#ffbbbb"| 123 || August 21 || @

text: Devil Rays

text: || 6–3 ||

text: Fossum

text: Rogers

text: (11–7) ||

text: Báez

text: || 13,974 || 57–66|- style="background-color:#bbffbb"| 124 || August 23 ||

text: Mariners

text: || 6–4 ||

text: Young

text: (11–7) ||

text: Moyer

text: Cordero

text: (28) || 25,653 || 58–66|- style="background-color:#bbffbb"| 125 || August 24 ||

text: Mariners

text: || 8–1 ||

text: Domínguez

text: (1–3) ||

text: Franklin

text: Wasdin

text: (2) || 28,612 || 59–66|- style="background-color:#ffbbbb"| 126 || August 25 ||

text: Mariners

text: || 8–2 ||

text: Harris

text: Benoit

text: (3–4) || || 19,112 || 59–67|- style="background-color:#bbffbb"| 127 || August 26 ||

text: Twins

text: || 6–0 ||

text: Loe

text: (6–4) ||

text: Kyle Lohse

text: Wilson

text: (1) || 28,877 || 60–67|- style="background-color:#ffbbbb"| 128 || August 27 ||

text: Twins

text: || 7–2 ||

text: Nathan

text: Shouse

text: (2–2) || || 25,351 || 60–68|- style="background-color:#bbffbb"| 129 || August 28 ||

text: Twins

text: || 2–1 ||

text: Brocail

text: (5–2) ||

text: Crain

text: || || 20,882 || 61–68|- style="background-color:#bbffbb"| 130 || August 29 ||

text: White Sox

text: || 7–5 ||

text: Domínguez

text: (2–3) ||

text: Buehrle

text: Brocail

text: (1) || 27,819 || 62–68|- style="background-color:#bbffbb"| 131 || August 30 ||

text: White Sox

text: || 8–6 ||

text: Wilson

text: (1–6) ||

text: Garland

text: Cordero

text: (29) || n/a || 63–68|- style="background-color:#ffbbbb"| 132 || August 30 ||

text: White Sox

text: || 8–0 ||

text: McCarthy

text: Vólquez

text: (0–1) || || 28,183 || 63–69|- style="background-color:#bbffbb"| 133 || August 31 ||

text: White Sox

text: || 9–2 ||

text: Loe

text: (7–4) ||

text: Hernández

text: || || 23,493 || 64–69|- style="background-color:#bbffbb"| 134 || September 1 || @

text: Royals

text: || 5–4 ||

text: Rogers

text: (12–7) ||

text: Howell

text: Cordero

text: (30) || 12,735 || 65–69|- style="background-color:#bbffbb"| 135 || September 2 || @

text: Royals

text: || 8–7 ||

text: Cordero

text: (3–1) ||

text: MacDougal

text: Wasdin

text: (3) || 14,425 || 66–69|- style="background-color:#bbffbb"| 136 || September 3 || @

text: Royals

text: || 5–3 ||

text: Domínguez

text: Carrasco

text: || || 18,932 || 67–69|- style="background-color:#ffbbbb"| 137 || September 4 || @

text: Royals

text: || 17–8 ||

text: Núñez

text: Vólquez

text: (0–2) || || 15,512 || 67–70|- style="background-color:#bbffbb"| 138 || September 5 || @

text: Twins

text: || 7–0 ||

text: Loe

text: (8–4) ||

text: Silva

text: || || 15,627 || 68–70|- style="background-color:#bbffbb"| 139 || September 6 || @

text: Twins

text: || 10–7 ||

text: Wasdin

text: Nathan

text: Cordero

text: (31) || 12,564 || 69–70|- style="background-color:#ffbbbb"| 140 || September 7 || @

text: Twins

text: || 8–6 ||

text: Romero

text: Brocail

text: (5–3) ||

text: Nathan

text: || 13,034 || 69–71|- style="background-color:#ffbbbb"| 141 || September 9 ||

text: Athletics

text: || 9–8 ||

text: Zito

text: Domínguez

text: (3–4) ||

text: Street

text: || 26,468 || 69–72|- style="background-color:#ffbbbb"| 142 || September 10 ||

text: Athletics

text: || 5–4 ||

text: Blanton

text: Loe

text: Street

text: || 41,058 || 69–73|- style="background-color:#bbffbb"| 143 || September 11 ||

text: Athletics

text: || 7–4||

text: Rogers

text: Kennedy

text: Wasdin

text: (4) || 19,913 || 70–73|- style="background-color:#ffbbbb"| 144 || September 12 ||

text: Orioles

text: || 4–2 ||

text: Cabrera

text: Vólquez

text: (0–3) ||

text: Ryan

text: || 20,418 || 70–74|- style="background-color:#ffbbbb"| 145 || September 13 ||

text: Orioles

text: || 4–3 ||

text: Ray

text: Wilson

text: (1–7) ||

text: Ryan

text: || 21,167 || 70–75|- style="background-color:#bbffbb"| 146 || September 14 ||

text: Orioles

text: || 7–6 ||

text: Benoit

text: (4–4) ||

text: Grimsley

text: || || 18,077 || 71–75|- style="background-color:#bbffbb"| 147 || September 15 ||

text: Mariners

text: || 4–3 ||

text: Loe

text: (9–5) ||

text: Harris

text: Cordero

text: (32) || 23,679 || 72–75|- style="background-color:#bbffbb"| 148 || September 16 ||

text: Mariners

text: || 5–3 ||

text: Rupe

text: (1–0) ||

text: Hernández

text: Cordero

text: (33) || 25,567 || 73–75|- style="background-color:#bbffbb"| 149 || September 17 ||

text: Mariners

text: || 7–6 ||

text: Shouse

text: (3–2) ||

text: Guardado

text: || || 41,983 || 74–75|- style="background-color:#bbffbb"| 150 || September 18 ||

text: Mariners

text: || 8–6 ||

text: Dickey

text: (1–1) ||

text: Franklin

text: Cordero

text: (34) || 26,532 || 75–75|- style="background-color:#ffbbbb"| 151 || September 20 || @

text: Angels

text: || 2–1 ||

text: Colón

text: Domínguez

text: (3–5) ||

text: Rodríguez

text: || 36,170 || 75–76|- style="background-color:#ffbbbb"| 152 || September 21 || @

text: Angels

text: || 6–5 ||

text: Yan

text: Feldman

text: (0–1) ||

text: Rodríguez

text: || 37,776 || 75–77|- style="background-color:#ffbbbb"| 153 || September 22 || @

text: Angels

text: || 7–4 ||

text: Santana

text: Vólquez

text: (0–4) ||

text: Escobar

text: || 36,588 || 75–78|- style="background-color:#bbffbb"| 154 || September 23 || @

text: Athletics

text: || 3–1 ||

text: Rogers

text: Haren

text: Cordero

text: (35) || 33,402 || 76–78|- style="background-color:#ffbbbb"| 155 || September 24 || @

text: Athletics

text: || 7–6||

text: Duchscherer

text: Wasdin

text: (2–2) ||

text: Street

text: || 26,704 || 76–79|- style="background-color:#bbffbb"| 156 || September 25 || @

text: Athletics

text: || 6–2 ||

text: Domínguez

text: (4–5) ||

text: Saarloos

text: || || 27,709 || 77–79|- style="background-color:#bbffbb"| 157 || September 27 || @

text: Mariners

text: || 3–2 ||

text: Wasdin

text: (3–2) ||

text: Mateo

text: Cordero

text: (36) || 22,739 || 78–79|- style="background-color:#bbffbb"| 158 || September 28 || @

text: Mariners

text: || 7–3 ||

text: Young

text: Piñeiro

text: Cordero

text: (37) || 20,723 || 79–79|- style="background-color:#ffbbbb"| 159 || September 29 || @

text: Mariners

text: || 4–3 ||

text: Franklin

text: Rogers

text: (14–8) ||

text: Guardado

text: || 19,481 || 79–80|- style="background-color:#ffbbbb"| 160 || September 30 ||

text: Angels

text: ||7–1 ||

text: Lackey

text: Dickey

text: (1–2) || || 38,187 || 79–81|- style="background-color:#ffbbbb"| 161 || October 1 ||

text: Angels

text: || 7–6 ||

text: Shields

text: Domínguez

text: (4–6) ||

text: Rodríguez

text: || 48,174 || 79–82|- style="background-color:#ffbbbb"| 162 || October 2 ||

text: Angels

text: || 7–4 ||

text: Santana

text: Loe

text: (9–6) ||

text: Rodríguez

text: || 38,334 || 79–83|-|Source: ESPN.com

text: At the exit slit, the colors of the light are spread out (in the visible this shows the colors of the rainbow). Because each color arrives at a separate point in the exit-slit plane, there are a series of images of the entrance slit focused on the plane. Because the entrance slit is finite in width, parts of nearby images overlap. The light leaving the exit slit (G) contains the entire image of the entrance slit of the selected color plus parts of the entrance slit images of nearby colors. A rotation of the dispersing element causes the band of colors to move relative to the exit slit, so that the desired entrance slit image is centered on the exit slit. The range of colors leaving the exit slit is a function of the width of the slits. The entrance and exit slit widths are adjusted together.

text: French pianist (born November 7, 1969).  Grimaud has colored numbers (graphemes → color) and sees music in colors (music → color).

text: |- style="background-color:#ffbbbb"| 1 || April 2 || Pirates || 4 – 2 (10) || Capps (1-0) || Qualls (0-1) || Torres (1) || 43,803 || 0-1|- style="background-color:#ffbbbb"| 2 || April 3 || Pirates || 3 – 2 || Bayliss (1-0) || Wheeler (0-1) || Torres (2) || 31,238 || 0-2|- style="background-color:#ffbbbb"| 3 || April 4 || Pirates || 5 – 4 || Gorzelanny (1-0) || Williams (0-1) || Torres (3) || 25,961 || 0-3|- style="background-color:#ffbbbb"| 4 || April 6 || Cardinals || 4 – 2 || Wainwright (1-0) || Rodríguez (0-1) || Isringhausen (1) || 43,430 || 0-4|- style="background-color:#bbffbb"| 5 || April 7 || Cardinals || 5 – 1 || Oswalt (1-0) || Reyes (0-1) || || 41,885 || 1-4|- style="background-color:#ffbbbb"| 6 || April 8 || Cardinals || 10 – 1 || Wells (1-1) || Jennings (0-1) || || 36,273 || 1-5|- style="background-color:#bbffbb"| 7 || April 9 || @ Cubs || 5 – 3 || Qualls (1-1) || Howry (0-2) || Wheeler (1) || 41,388 || 2-5|- style="background-color:#bbffbb"| 8 || April 10 || @ Cubs || 4 – 2 || Sampson (1-0) || Marquis (0-1) || || 35,924 || 3-5|- style="background-color:#bbbbbb"| -- || April 11 || @ Cubs || colspan=5|Postponed (snow) Rescheduled for June 11|| 3-5|- style="background-color:#bbffbb"| 9 || April 13 || @ Phillies || 9 – 6 || Oswalt (2-0) || Myers (0-1)|| Wheeler (2) || 44,336 || 4-5|- style="background-color:#ffbbbb"| 10 || April 14 || @ Phillies || 8 – 5 || Hamels (1-0) || Williams (0-2) || Gordon (2) || 35,387 || 4-6|- style="background-color:#bbbbbb"| -- || April 15 || @ Phillies || colspan=5|Postponed (rain) Rescheduled for April 23 || 4-6|- style="background-color:#bbffbb"| 11 || April 16 || Marlins || 4 – 3 || Qualls (2-1) || Gregg (0-1) || || 30,665 || 5-6|- style="background-color:#bbffbb"| 12 || April 17 || Marlins || 6 – 1 || Oswalt (3-0) || Julio (0-2) || || 38,106 || 6-6|- style="background-color:#bbffbb"| 13 || April 18 || @ Reds || 7 – 2 || Sampson (2-0) || Coffey (1-1) || || 13,772 || 7-6|- style="background-color:#bbffbb"| 14 || April 19 || @ Reds || 8 – 6 || Lidge (1-0) || Weathers (0-2) || Wheeler (3) || 14,222 || 8-6|- style="background-color:#bbffbb"| 15 || April 20 || @ Brewers || 6 – 5 || White (1-0) || Wise (0-1) || Qualls (1) || 41,522 || 9-6|- style="background-color:#ffbbbb"| 16 || April 21 || @ Brewers || 6 – 4 || Capuano (3-0) || Rodríguez (0-2) || Cordero (6) || 41,209 || 9-7|- style="background-color:#ffbbbb"| 17 || April 22 || @ Brewers || 4 – 3 || Bush (2-1) || Oswalt (3-1) || Cordero (7) || 31,985 || 9-8|- style="background-color:#ffbbbb"| 18 || April 23 || @ Phillies|| 11 – 4 || Eaton (2-1) || Sampson (2-1) |||| 32,517 || 9-9|- style="background-color:#ffbbbb"| 19 || April 24 || @ Pirates || 3 – 0 || Maholm (1-2) || Williams (0-3) || || 13,062 || 9-10|- style="background-color:#ffbbbb"| 20 || April 25 || @ Pirates || 4 – 3 (16) || Wasdin (1-1) || Moehler (0-1) || || 8,201 || 9-11|- style="background-color:#ffbbbb"| 21 || April 26 || @ Pirates || 5 – 3 || Bayliss (2-1) || Rodríguez (0-3) || Grabow (1) || 12,056 || 9-12|- style="background-color:#ffbbbb"| 22 || April 27 || Brewers || 4 – 1 || Capuano (4-0) || Oswalt (3-2) || Cordero (9) || 40,530 || 9-13|- style="background-color:#bbffbb"| 23 || April 28 || Brewers || 10 – 1 || Sampson (3-1) || Bush (2-2) || || 41,004 || 10-13|- style="background-color:#ffbbbb"| 24 || April 29 || Brewers || 3 – 1 || Vargas (2-0) || Williams (0-4) || Cordero (10) || 37,114 || 10-14|- style=""|- style="background-color:#ffbbbb"| 25 || May 1 || Reds || 11 – 2 || Arroyo (1-2) || Albers (0-1) || || 30,361 || 10-15|- style="background-color:#bbffbb"| 26 || May 2 || Reds || 3 – 1 || Oswalt (4-2) || Lohse (1-2) || Wheeler (4) || 29,468 || 11-15|- style="background-color:#bbffbb"| 27 || May 3 || Reds || 7 – 5 || Qualls (3-1) || Stanton (1-1) || Wheeler (5) || 29,931 || 12-15|- style="background-color:#ffbbbb"| 28 || May 4 || @ Cardinals || 3 – 2 || Wainwright (2-2) || Williams (0-5) || Isringhausen (7)  || 44,117 || 12-16|- style="background-color:#bbffbb"| 29 || May 5 || @ Cardinals || 13 – 0 || Albers (1-1) || Wells (1-6) || || 44,881 || 13-16|- style="background-color:#ffbbbb"| 30 || May 6 || @ Cardinals || 3 – 1 || Looper (4-2) || Sampson (3-2) || Isringhausen (8) || 44,453 || 13-17|- style="background-color:#bbffbb"| 31 || May 7 || @ Reds || 5 – 4 || Oswalt (5-2) || Lohse (1-3) || Wheeler (6) || 17,362 || 14-17|- style="background-color:#bbffbb"| 32 || May 8 || @ Reds || 7 – 6 || Lidge (2-0) || Salmon (0-1) || Wheeler (7) || 16,264 || 15-17|- style="background-color:#bbffbb"| 33 || May 9 || @ Reds || 3 – 2 || Williams (1-5) || Belisle (3-2) || Wheeler (8) || 16,278 || 16-17|- style="background-color:#ffbbbb"| 34 || May 10 || @ Reds || 9 – 5 || Harang (5-1) || Albers (1-2) || Weathers (7) || 25,796 || 16-18|- style="background-color:#ffbbbb"| 35 || May 11 || D-backs || 3 – 1 || Webb (3-2) || Sampson (3-3) || || 36,080 || 16-19|- style="background-color:#bbffbb"| 36 || May 12 || D-backs || 10 – 4 ||  Oswalt (6-2)  || Hernández (3-2) || || 36,142 || 17-19|- style="background-color:#bbffbb"| 37 || May 13 || D-backs || 5 – 2 || Rodríguez (1-3) || Davis (2-4) || || 37,230 || 18-19|- style="background-color:#bbffbb"| 38 || May 15 || Giants || 6 – 5 (10) || Qualls (4-1) || Sánchez (1-1) || || 33,490 || 19-19|- style="background-color:#bbffbb"| 39 || May 16 || Giants || 2 – 1 || Sampson (4-3) || Lowry (4-4) ||   || 33,533 || 20-19|- style="background-color:#ffbbbb"| 40 || May 17 || Giants || 2 – 1 (12) || Chulk (1-2) || Lidge (1-2) || Benítez (8) || 36,815 || 20-20|- style="background-color:#ffbbbb"| 41 || May 18 || Rangers || 7 – 4 || Tejeda (4-3) || Albers (1-3) || Gagné (2) || 37,634 || 20-21|- style="background-color:#bbffbb"| 42 || May 19 || Rangers || 6 – 1 || Rodríguez (2-3) || Koronka (0-1) || || 41,990 || 21-21|- style="background-color:#ffbbbb"| 43 || May 20 || Rangers || 14 – 1 || McCarthy (4-4) || Williams (1-6) || || 39,938 || 21-22|- style="background-color:#ffbbbb"| 44 || May 21 || @ Giants || 4 – 0 || Lowry (5-4) || Sampson (4-4) || || 35,768 || 21-23|- style="background-color:#ffbbbb"| 45 || May 22 || @ Giants || 4 – 2 || Lincecum (2-0) || Oswalt (6-3) || Benítez (9) || 35,134 || 21-24|- style="background-color:#ffbbbb"| 46 || May 23 || @ Giants || 9 – 1 || Zito (4-5) || Albers (1-4) || || 35,521 || 21-25|- style="background-color:#ffbbbb"| 47 || May 24 || @ D-backs || 9 – 1 || Owings (3-1) || Rodríguez (2-4) || || 18,130 || 21-26|- style="background-color:#ffbbbb"| 48 || May 25 || @ D-backs || 13 – 3 || González (2-2) || Williams (1-7) || || 23,298 || 21-27|- style="background-color:#ffbbbb"| 49 || May 26 || @ D-backs || 5 – 4 || Webb (4-3) || Sampson (4-5) || Valverde (18) || 27,836 || 21-28|- style="background-color:#ffbbbb"| 50 || May 27 || @ D-backs || 8 – 4 || Hernández (5-2) || Oswalt (6-4) || || 26,621 || 21-29|- style="background-color:#ffbbbb"| 51 || May 29 || Reds || 2 – 1 || Belisle (5-4) || Qualls (4-2) || Weathers (10) || 33,565 || 21-30|- style="background-color:#ffbbbb"| 52 || May 30 || Reds || 4 – 3 || Harang (6-2) || Rodríguez (2-5) || || 31,904 || 21-31|- style="background-color:#bbffbb"| 53 || May 31 || Reds || 10 – 2 || Williams (2-7) || Arroyo (2-6) || || 30,336 || 22-31|- style=""|- style="background-color:#ffbbbb"| 54 || June 1 || Cardinals || 8 – 1 || Franklin (2-0) || Qualls (4-3) || || 36,784 || 22-32|- style="background-color:#bbffbb"| 55 || June 2 || Cardinals || 8 – 3 || Sampson (5-5) || Wells (2-10) || || 39,234 || 23-32|- style="background-color:#ffbbbb"| 56 || June 3 || Cardinals || 8 – 6 (10) || Isringhausen (2-0) || Wheeler (0-2) || || 40,483 || 23-33|- style="background-color:#bbffbb"| 57 || June 5 || @ Rockies || 4 – 1 || Rodríguez (3-5) || Hirsh (2-6) || Wheeler (10) || 27,101 || 24-33|- style="background-color:#ffbbbb"| 58 || June 6 || @ Rockies || 8 – 7 || Buchholz (3-3) || Williams (2-8) || Fuentes (17) || 22,471 || 24-34|- style="background-color:#ffbbbb"| 59 || June 7 || @ Rockies || 7 – 6 || Affeldt (3-1) || Wheeler (0-3) || || 22,103 || 24-35|- style="background-color:#bbffbb"| 60 || June 8 || @ White Sox || 5 – 2 || Sampson (6-5) || Danks (3-6) || Wheeler (11) || 33,212 || 25-35|- style="background-color:#bbffbb"| 61 || June 9 || @ White Sox || 3 – 2 || Qualls (5-3) || Jenks (2-2) || || 36,616 || 26-35|- style="background-color:#ffbbbb"| 62 || June 10 || @ White Sox || 6 – 3 || Buehrle (3-3) || Rodríguez (3-6) || Jenks (17) || 33,433 || 26-36|- style="background-color:#ffbbbb"| 63 || June 11 || @ Cubs || 2 – 1 || Zambrano (7-5) || Williams (2-9) || Dempster (13) || 37,947 || 26-37|- style="background-color:#bbffbb"| 64 || June 12 || Athletics || 5 – 4 (11) || Borkowski (1-0) || Flores (0-1) || || 33,637 || 27-37|- style="background-color:#ffbbbb"| 65 || June 13 || Athletics || 7 – 3 || Blanton (6-4) || Wheeler (0-3) || || 34,611 || 27-38|- style="background-color:#ffbbbb"| 66 || June 14 || Athletics || 6 – 5 (11) || Embree (1-0) || Moehler (0-2) || Casilla (2) || 42,024 || 27-39|- style="background-color:#bbffbb"| 67 || June 15 || Mariners || 5 – 1 || Rodríguez (4-6) || Hernández (3-4) || || 37,322 || 28-39|- style="background-color:#bbffbb"| 68 || June 16 || Mariners || 9 – 4 || Williams (3-9) || Baek (3-3) || || 41,974 || 29-39|- style="background-color:#bbffbb"| 69 || June 17 || Mariners || 10 – 3 || Oswalt (7-4) || Washburn (5-6) || || 42,019 || 30-39|- style="background-color:#ffbbbb"| 70 || June 18 || @ Angels || 10 – 9 || Rodríguez (1-2) || Borkowski (1-1) || || 42,232 || 30-40|- style="background-color:#bbffbb"| 71 || June 19 || @ Angels || 9 – 5 || Jennings (1-1) || Colón (6-3) || || 42,156 || 31-40|- style="background-color:#ffbbbb"| 72 || June 20 || @ Angels || 8 – 4 || Carrasco (2-1) || Borkowski (1-2) || || 40,761 || 31-41|- style="background-color:#ffbbbb"| 73 || June 22 || @ Rangers || 11 – 3 || Millwood (4-6) || Williams (3-10) || || 37,847 || 31-42|- style="background-color:#ffbbbb"| 74 || June 23 || @ Rangers || 7 – 2 || Wright (1-1) || Oswalt (7-5) || || 42,315 || 31-43|- style="background-color:#bbffbb"| 75 || June 24 || @ Rangers || 12 – 9 (10) || Wheeler (1-4) || Wilson (0-1) || Qualls (2) || 31,560 || 32-43|- style="background-color:#ffbbbb"| 76 || June 25 || @ Brewers || 5 – 1 || Sheets (9-3) || Jennings (1-2) || || 28,786 || 32-44|- style="background-color:#ffbbbb"| 77 || June 26 || @ Brewers || 11 – 5 || Wise (2-1) || Rodríguez (4-7) || || 30,713 || 32-45|- style="background-color:#ffbbbb"| 78 || June 27 || @ Brewers || 6 – 3 (11) || Bush (6-6) || Borkowski (1-3) || || 31,862 || 32-46|- style="background-color:#bbffbb"| 79 || June 28 || Rockies || 8 – 5 (11) || Moehler (1-2) || Fuentes (0-3) || || 42,537 || 33-46|- style="background-color:#bbffbb"| 80 || June 29 || Rockies || 9 – 8 || Borkowski (2-3) || Fuentes (0-4) || || 42,861 || 34-46|- style="background-color:#ffbbbb"| 81 || June 30 || Rockies || 5 – 0 || Francis (8-5) || Jennings (1-3) || || 43,071 || 34-47|- style=""|- style="background-color:#bbffbb"| 82 || July 1 || Rockies || 12 – 0 || Rodríguez (5-7) || López (4-2) || || 35,260 || 35-47|- style="background-color:#bbffbb"| 83 || July 2 || Phillies || 7 – 5 || Williams (4-10) || Moyer (7-6) || Miller (1) || 28,973 || 36-47|- style="background-color:#bbffbb"| 84 || July 3 || Phillies || 5 – 4 (13) || Albers (2-4) || Mesa (0-1) || || 37,997 || 37-47|- style="background-color:#ffbbbb"| 85 || July 4 || Phillies || 8 – 3 || Hamels (10-4) || Sampson (6-6) || || 39,993 || 37-48|- style="background-color:#ffbbbb"| 86 || July 5 || Mets || 6 – 2 || Maine (10-4) || Jennings (1-4) || || 35,430 || 37-49|- style="background-color:#bbffbb"| 87 || July 6 || Mets || 4 – 0 || Rodríguez (6-7) || Pelfrey (0-7) || || 38,812 || 38-49|- style="background-color:#ffbbbb"| 88 || July 7 || Mets || 5 – 3 (17) || Sele (2-0) || Moehler (1-3) || Wagner (17) || 41,596 || 38-50|- style="background-color:#bbffbb"| 89 || July 8 || Mets || 8 – 3 || Oswalt (8-5) || Williams (0-1) || || 40,708 || 39-50|- style="background-color:#ffbbbb"| 90 || July 13 || @ Cubs || 6 – 0 || Zambrano (11-7) || Jennings (1-5) || || 41,593 || 39-51|- style="background-color:#ffbbbb"| 91 || July 14 || @ Cubs || 9 – 3 || Lilly (9-4) || Oswalt (8-6) || || 41,448 || 39-52|- style="background-color:#ffbbbb"| 92 || July 15 || @ Cubs || 7 – 6 || Wuertz (2-2) || Rodríguez (6-8) || Howry (5) || 41,757 || 39-53|- style="background-color:#ffbbbb"| 93 || July 16 || @ Nationals || 4 – 3 || Rivera (4-2) || Williams (4-11) || Cordero (16) || 22,392 || 39-54|- style="background-color:#bbffbb"| 94 || July 17 || @ Nationals || 4 – 2 || Sampson (7-6) || Redding (1-2) || Lidge (1) || 22,362 || 40-54|- style="background-color:#ffbbbb"| 95 || July 18 || @ Nationals || 7 – 6 || Bergmann (2-5) || Jennings (1-6) || Cordero (17) || 27,119 || 40-55|- style="background-color:#bbffbb"| 96 || July 20 || @ Pirates || 2 – 1 || Oswalt (9-6) || Gorzelanny (9-5) || Lidge (2) || 33,541 || 41-55|- style="background-color:#ffbbbb"| 97 || July 21 || @ Pirates || 7 – 3 || Maholm (6-12) || Rodríguez (6-9) || || 32,068 || 41-56|- style="background-color:#bbffbb"| 98 || July 22 || @ Pirates || 1 – 0 || Williams (5-11) || Youman (2-2) || Lidge (3) || 22,404 || 42-56|- style="background-color:#ffbbbb"| 99 || July 23 || Dodgers || 10 – 2 || Billingsley (7-0) || Sampson (7-7) || || 38,245 || 42-57|- style="background-color:#bbffbb"| 100 || July 24 || Dodgers || 7 – 4 || Jennings (2-6) || Seánez (6-2) || Lidge (4)|| 38,247 || 43-57|- style="background-color:#bbffbb"| 101 || July 25 || Dodgers || 2 – 1 || Qualls (6-3) || Houlton (0-2) || Lidge (5)|| 31,498 || 44-57|- style="background-color:#bbffbb"| 102 || July 26 || Padres || 7 – 1 || Rodríguez (7-9) || Wells (5-7) || || 33,718 || 45-57|- style="background-color:#ffbbbb"| 103 || July 27 || Padres || 9 – 4 || Peavy (10-5) || Williams (5-12) || || 39,996 || 45-58|- style="background-color:#bbffbb"| 104 || July 28 || Padres || 3 – 1 || Oswalt (10-6) || Maddux (7-8) || Lidge (6) || 42.651 || 46-58|- style="background-color:#ffbbbb"| 105 || July 29 || Padres || 18 – 11 || Brocail (3-1) || Jennings (2-7) || || 39,350 || 46-59|- style="background-color:#ffbbbb"| 106 || July 31 || @ Braves || 12 – 4 || James (9-8) || Sampson (7-8) || || 32,315 || 46-60|- style=""|- style="background-color:#ffbbbb"| 107 || August 1|| @ Braves || 12 – 3 || Carlyle (6-3) || Rodríguez (7-10) || || 30,785 || 46-61|- style="background-color:#bbffbb"| 108 || August 2|| @ Braves || 12 – 11 (14) || McLemore (1-0) || Villarreal (1-1) || Moehler (1) || 35,659 || 47-61|- style="background-color:#bbffbb"| 109 || August 3|| @ Marlins || 8 – 2 || Oswalt (11-6) || Willis (7-11) || || 15,226 || 48-61|- style="background-color:#ffbbbb"| 110 || August 4|| @ Marlins || 6 – 5 (12) || Gardner (3-2) || Randolph (0-1) || || 22,112 || 48-62|- style="background-color:#ffbbbb"| 111 || August 5|| @ Marlins || 6 – 5 || Olsen (9-9) || Albers (2-5) || Gregg (23) || 14,622 || 48-63|- style="background-color:#bbffbb"| 112 || August 6 || Cubs || 2 – 1 (10) || Lidge (3-1) || Wuertz (2-3) || || 36,459 || 49-63|- style="background-color:#bbffbb"| 113 || August 7 || Cubs || 5 – 2 || Williams (6-12) || Marshall (5-6) || Lidge (7) || 37,561 || 50-63|- style="background-color:#bbffbb"| 114 || August 8 || Cubs || 8 – 2 || Oswalt (12-6) || Zambrano (14-8) || || 41,655 || 51-63|- style="background-color:#ffbbbb"| 115 || August 10 || Brewers || 5 – 4 (11) || Spurling (2-1) || Moehler (1-4) || Cordero (35) || 40,211 || 51-64|- style="background-color:#ffbbbb"| 116 || August 11 || Brewers || 7 – 4 || Linebrink (4-3) || Lidge (3-2) || Cordero (36) || 41,461 || 51-65|- style="background-color:#bbffbb"| 117 || August 12 || Brewers || 6 – 4 || McLemore (2-0) || Villanueva (6-3) || Lidge (8) || 43,578 || 52-65|- style="background-color:#bbffbb"| 118 || August 13 || @ Dodgers || 4 – 1 || Oswalt (13-6) || Billingsley (7-4) || Qualls (3) || 49,511 || 53-65|- style="background-color:#bbffbb"| 119 || August 14 || @ Dodgers || 7 – 4 || Albers (3-5) || Tomko (2-10) || Lidge (9) || 49,399 || 54-65|- style="background-color:#ffbbbb"| 120 || August 15 || @ Dodgers || 6 – 3 || Penny (14-3) || Jennings (2-8) || Saito (30) || 49,098 || 54-66|- style="background-color:#ffbbbb"| 121 || August 16 || @ Dodgers || 6 – 2 || Lowe (9-11) || Rodríguez (7-11) || Saito (31) || 48,128 || 54-67|- style="background-color:#bbffbb"| 122 || August 17 || @ Padres || 3 – 1 || Williams (7-12) || Bell (5-4) || Lidge (10) || 32,063 || 55-67|- style="background-color:#bbffbb"| 123 || August 18 || @ Padres || 3 – 2 || Borkowski (3-3) || Germano (6-7) || Lidge (11) || 44,272 || 56-67|- style="background-color:#ffbbbb"| 124 || August 19 || @ Padres || 5 – 3 || Maddux (9-9) || Albers (3-6) || Hoffman (31) || 37,628 || 56-68|- style="background-color:#ffbbbb"| 125 || August 20 || Nationals || 7 – 0 || Redding (3-3) || Jennings (2-9) || || 30,374 || 56-69|- style="background-color:#ffbbbb"| 126 || August 21 || Nationals || 11 – 6 || Hanrahan (3-1) || Rodríguez (7-12) || || 34,073 || 56-70|- style="background-color:#bbffbb"| 127 || August 22 || Nationals || 3 – 2 || Williams (8-12) || Bacsik (5-7) || Lidge (12) || 32,023 || 57-70|- style="background-color:#ffbbbb"| 128 || August 23 || Nationals || 7 – 6 || Lannan (2-2) || Gutiérrez (0-1) || Cordero (28) || 36,407 || 57-71|- style="background-color:#ffbbbb"| 129 || August 24 || Pirates || 8 – 3 (15) || Youman (3-4) || Driskill (0-1) || || 41,403 || 57-72|- style="background-color:#ffbbbb"| 130 || August 25 || Pirates || 4 – 1 || Morris (8-8)  || Patton (0-1) || Capps (13) || 41,109 || 57-73|- style="background-color:#bbffbb"| 131 || August 26 || Pirates || 5 – 4 || McLemore (3-0) || Chacón (4-4) || Lidge (13) || 42,564 || 58-73|- style="background-color:#ffbbbb"| 132 || August 28 || Cardinals || 7 – 0 || Looper (11-10) || Williams (8-13)  || || 37,915 || 58-74|- style="background-color:#bbffbb"| 133 || August 29 || Cardinals || 7 – 0 || Oswalt (14-6) || Wells (6-15) || || 33,422 || 59-74|- style="background-color:#bbffbb"| 134 || August 30 || Cardinals || 2 – 1 || Albers (4-6) || Piñeiro (4-3) || Lidge (14) || 37,520 || 60-74|- style="background-color:#bbffbb"| 135 || August 31 || @ Cubs || 6 – 1 || Rodríguez (8-12) || Marshall (7-7) || || 41,297 || 61-74|- style=""|- style="background-color:#ffbbbb"| 136 || September 1 || @ Cubs || 4 – 3 || Marquis (11-8) || Patton (0-2) || Dempster (24) || 40,606 || 61-75|- style="background-color:#ffbbbb"| 137 || September 2 || @ Cubs || 6 – 5 || Mármol (5-1) || Qualls (6-4) || Dempster (25) || 41,415 || 61-76|- style="background-color:#bbffbb"| 138 || September 3 || @ Brewers || 9 – 7 || Borkowski (4-3) || Aquino (0-1) || Qualls (4) || 31,226 || 62-76|- style="background-color:#ffbbbb"| 139 || September 4 || @ Brewers || 5 – 3 || Villanueva (7-3) || Backe (0-1) || Cordero (40) || 25,854 || 62-77|- style="background-color:#ffbbbb"| 140 || September 5 || @ Brewers || 14 – 2 || Gallardo  (7-4) || Albers (4-7) || || 28,988 || 62-78|- style="background-color:#ffbbbb"| 141 || September 7 || @ Mets || 11 – 3 || Pelfrey (2-7) || Rodríguez (8-13) || || 51,113 || 62-79|- style="background-color:#ffbbbb"| 142 || September 8 || @ Mets || 3 – 1 || Glavine (13-6) || Williams (8-14) || Wagner (31) || 53,061 || 62-80|- style="background-color:#ffbbbb"| 143 || September 9 || @ Mets || 4 – 1 || Martínez (2-0) || Oswalt (14-7) || Wagner (32) || 51,847 || 62-81|- style="background-color:#bbffbb"| 144 || September 11 || Cubs || 5 – 4 (11) || Lidge (4-2) || Dempster (2-6) || || 33,493 || 63-81|- style="background-color:#ffbbbb"| 145 || September 12 || Cubs || 3 – 2 || Hill (9-8) || Albers (4-8) || Dempster (26) || 33,115 || 63-82|- style="background-color:#ffbbbb"| 146 || September 13 || Cubs || 6 – 2 || Trachsel (7-10) || Williams (8-15) || || 34,234 || 63-83|- style="background-color:#ffbbbb"| 147 || September 14 || Pirates || 4 – 3 || Sánchez (1-0) || Qualls (6-5) || Capps (17) || 35,352 || 63-84|- style="background-color:#bbffbb"| 148 || September 15 || Pirates || 9 – 7 || Gutiérrez (1-1) || Morris (9-10) || Lidge (15) || 40,425 || 64-84|- style="background-color:#bbffbb"| 149 || September 16 || Pirates || 15 – 3 || Backe (1-1) || Maholm (10-15) || || 35,715 || 65-84|- style="background-color:#ffbbbb"| 150 || September 17 || Brewers || 6 – 0 || Gallardo (9-4) || Albers (4-9) || || 32,578 || 65-85|- style="background-color:#ffbbbb"| 151 || September 18 || Brewers || 9 – 1 || Vargas (11-4) || Paulino (0-1) || || 32,866 || 65-86|- style="background-color:#bbffbb"| 152 || September 19 || Brewers || 5 – 4 (10) || Lidge (5-2) || Wise (3-2) || || 36,981 || 66-86|- style="background-color:#bbffbb"| 153 || September 20 || @ Cardinals || 18 – 1 || Rodríguez (9-13) || Looper (12-11) || || 42,171 || 67-86|- style="background-color:#bbffbb"| 154 || September 21 || @ Cardinals || 6 – 3 || Backe (2-1) || Piñeiro (6-5) || Lidge (16) || 43,677 || 68-86|- style="background-color:#ffbbbb"| 155 || September 22 || @ Cardinals || 7 – 4 || Thompson (7-6) || Albers (4-10) || Isringhausen (30) || 46,237 || 68-87|- style="background-color:#ffbbbb"| 156 || September 23 || @ Cardinals || 4 – 3 || Jiménez (3-0) || Lidge (5-3) || || 46,169 || 68-88|- style="background-color:#bbffbb"| 157 || September 25 || @ Reds || 8 – 5 || Paulino (1-1) || Coutlangus (4-2) || Lidge (17) || 13,261 || 69-88|- style="background-color:#bbffbb"| 158 || September 26 || @ Reds || 7 – 6 || Sarfate (1-0) || Burton (4-2) || Qualls (5) || 13,138 || 70-88|- style="background-color:#bbffbb"| 159 || September 27 || @ Reds || 4 – 3 || Borkowski (5-3) || Majewski (0-4) || Lidge (18) || 13,626 || 71-88|- style="background-color:#ffbbbb"| 160 || September 28 || Braves || 7 – 2 || Reyes (2-2) || Albers (4-11) || || 43,011 || 71-89|- style="background-color:#bbffbb"| 161 || September 29 || Braves || 3 – 2 || Backe (3-1) || Bennett (2-1) || Lidge (19) || 43,624 || 72-89|- style="background-color:#bbffbb"| 162 || September 30 || Braves || 3 – 0 || Paulino (2-1) || Carlyle (8-7) || Borkowski (1) || 43,823 || 73-89

text: Pirates

text: || 4 – 2 (10) ||

text: Capps

text: (1-0) ||

text: Qualls

text: (0-1) ||

text: Torres

text: (1) || 43,803 || 0-1|- style="background-color:#ffbbbb"| 2 || April 3 ||

text: Pirates

text: || 3 – 2 ||

text: Bayliss

text: (1-0) ||

text: Wheeler

text: (0-1) ||

text: Torres

text: (2) || 31,238 || 0-2|- style="background-color:#ffbbbb"| 3 || April 4 ||

text: Pirates

text: || 5 – 4 ||

text: Gorzelanny

text: (1-0) ||

text: Williams

text: (0-1) ||

text: Torres

text: (3) || 25,961 || 0-3|- style="background-color:#ffbbbb"| 4 || April 6 ||

text: Cardinals

text: || 4 – 2 ||

text: Wainwright

text: (1-0) ||

text: Rodríguez

text: (0-1) ||

text: Isringhausen

text: (1) || 43,430 || 0-4|- style="background-color:#bbffbb"| 5 || April 7 ||

text: Cardinals

text: || 5 – 1 ||

text: Oswalt

text: (1-0) ||

text: Reyes

text: (0-1) || || 41,885 || 1-4|- style="background-color:#ffbbbb"| 6 || April 8 ||

text: Cardinals

text: || 10 – 1 ||

text: Wells

text: (1-1) ||

text: Jennings

text: (0-1) || || 36,273 || 1-5|- style="background-color:#bbffbb"| 7 || April 9 || @

text: Cubs

text: || 5 – 3 ||

text: Qualls

text: (1-1) ||

text: Howry

text: (0-2) ||

text: Wheeler

text: (1) || 41,388 || 2-5|- style="background-color:#bbffbb"| 8 || April 10 || @

text: Cubs

text: || 4 – 2 ||

text: Sampson

text: (1-0) ||

text: Marquis

text: (0-1) || || 35,924 || 3-5|- style="background-color:#bbbbbb"| -- || April 11 || @

text: Cubs

text: || colspan=5|Postponed (snow) Rescheduled for June 11|| 3-5|- style="background-color:#bbffbb"| 9 || April 13 || @

text: Phillies

text: || 9 – 6 ||

text: Oswalt

text: (2-0) ||

text: Myers

text: Wheeler

text: (2) || 44,336 || 4-5|- style="background-color:#ffbbbb"| 10 || April 14 || @

text: Phillies

text: || 8 – 5 ||

text: Hamels

text: (1-0) ||

text: Williams

text: (0-2) ||

text: Gordon

text: (2) || 35,387 || 4-6|- style="background-color:#bbbbbb"| -- || April 15 || @

text: Phillies

text: || colspan=5|Postponed (rain) Rescheduled for April 23 || 4-6|- style="background-color:#bbffbb"| 11 || April 16 ||

text: Marlins

text: || 4 – 3 ||

text: Qualls

text: (2-1) ||

text: Gregg

text: (0-1) || || 30,665 || 5-6|- style="background-color:#bbffbb"| 12 || April 17 ||

text: Marlins

text: || 6 – 1 ||

text: Oswalt

text: (3-0) ||

text: Julio

text: (0-2) || || 38,106 || 6-6|- style="background-color:#bbffbb"| 13 || April 18 || @

text: Reds

text: || 7 – 2 ||

text: Sampson

text: (2-0) ||

text: Coffey

text: (1-1) || || 13,772 || 7-6|- style="background-color:#bbffbb"| 14 || April 19 || @

text: Reds

text: || 8 – 6 ||

text: Lidge

text: (1-0) ||

text: Weathers

text: (0-2) ||

text: Wheeler

text: (3) || 14,222 || 8-6|- style="background-color:#bbffbb"| 15 || April 20 || @

text: Brewers

text: || 6 – 5 ||

text: White

text: (1-0) ||

text: Wise

text: (0-1) ||

text: Qualls

text: (1) || 41,522 || 9-6|- style="background-color:#ffbbbb"| 16 || April 21 || @

text: Brewers

text: || 6 – 4 ||

text: Capuano

text: (3-0) ||

text: Rodríguez

text: (0-2) ||

text: Cordero

text: (6) || 41,209 || 9-7|- style="background-color:#ffbbbb"| 17 || April 22 || @

text: Brewers

text: || 4 – 3 ||

text: Bush

text: (2-1) ||

text: Oswalt

text: (3-1) ||

text: Cordero

text: (7) || 31,985 || 9-8|- style="background-color:#ffbbbb"| 18 || April 23 || @

text: Phillies

text: || 11 – 4 ||

text: Eaton

text: (2-1) ||

text: Sampson

text: (2-1) |||| 32,517 || 9-9|- style="background-color:#ffbbbb"| 19 || April 24 || @

text: Pirates

text: || 3 – 0 ||

text: Maholm

text: (1-2) ||

text: Williams

text: (0-3) || || 13,062 || 9-10|- style="background-color:#ffbbbb"| 20 || April 25 || @

text: Pirates

text: || 4 – 3 (16) ||

text: Wasdin

text: (1-1) ||

text: Moehler

text: (0-1) || || 8,201 || 9-11|- style="background-color:#ffbbbb"| 21 || April 26 || @

text: Pirates

text: || 5 – 3 ||

text: Bayliss

text: (2-1) ||

text: Rodríguez

text: (0-3) ||

text: Grabow

text: (1) || 12,056 || 9-12|- style="background-color:#ffbbbb"| 22 || April 27 ||

text: Brewers

text: || 4 – 1 ||

text: Capuano

text: (4-0) ||

text: Oswalt

text: (3-2) ||

text: Cordero

text: (9) || 40,530 || 9-13|- style="background-color:#bbffbb"| 23 || April 28 ||

text: Brewers

text: || 10 – 1 ||

text: Sampson

text: (3-1) ||

text: Bush

text: (2-2) || || 41,004 || 10-13|- style="background-color:#ffbbbb"| 24 || April 29 ||

text: Brewers

text: || 3 – 1 ||

text: Vargas

text: (2-0) ||

text: Williams

text: (0-4) ||

text: Cordero

text: (10) || 37,114 || 10-14|- style=""|- style="background-color:#ffbbbb"| 25 || May 1 ||

text: Reds

text: || 11 – 2 ||

text: Arroyo

text: (1-2) ||

text: Albers

text: (0-1) || || 30,361 || 10-15|- style="background-color:#bbffbb"| 26 || May 2 ||

text: Reds

text: || 3 – 1 ||

text: Oswalt

text: (4-2) ||

text: Lohse

text: (1-2) ||

text: Wheeler

text: (4) || 29,468 || 11-15|- style="background-color:#bbffbb"| 27 || May 3 ||

text: Reds

text: || 7 – 5 ||

text: Qualls

text: (3-1) ||

text: Stanton

text: (1-1) ||

text: Wheeler

text: (5) || 29,931 || 12-15|- style="background-color:#ffbbbb"| 28 || May 4 || @

text: Cardinals

text: || 3 – 2 ||

text: Wainwright

text: (2-2) ||

text: Williams

text: (0-5) ||

text: Isringhausen

text: (7)  || 44,117 || 12-16|- style="background-color:#bbffbb"| 29 || May 5 || @

text: Cardinals

text: || 13 – 0 ||

text: Albers

text: (1-1) ||

text: Wells

text: (1-6) || || 44,881 || 13-16|- style="background-color:#ffbbbb"| 30 || May 6 || @

text: Cardinals

text: || 3 – 1 ||

text: Looper

text: (4-2) ||

text: Sampson

text: (3-2) ||

text: Isringhausen

text: (8) || 44,453 || 13-17|- style="background-color:#bbffbb"| 31 || May 7 || @

text: Reds

text: || 5 – 4 ||

text: Oswalt

text: (5-2) ||

text: Lohse

text: (1-3) ||

text: Wheeler

text: (6) || 17,362 || 14-17|- style="background-color:#bbffbb"| 32 || May 8 || @

text: Reds

text: || 7 – 6 ||

text: Lidge

text: (2-0) ||

text: Salmon

text: (0-1) ||

text: Wheeler

text: (7) || 16,264 || 15-17|- style="background-color:#bbffbb"| 33 || May 9 || @

text: Reds

text: || 3 – 2 ||

text: Williams

text: (1-5) ||

text: Belisle

text: (3-2) ||

text: Wheeler

text: (8) || 16,278 || 16-17|- style="background-color:#ffbbbb"| 34 || May 10 || @

text: Reds

text: || 9 – 5 ||

text: Harang

text: (5-1) ||

text: Albers

text: (1-2) ||

text: Weathers

text: (7) || 25,796 || 16-18|- style="background-color:#ffbbbb"| 35 || May 11 ||

text: D-backs

text: || 3 – 1 ||

text: Webb

text: (3-2) ||

text: Sampson

text: (3-3) || || 36,080 || 16-19|- style="background-color:#bbffbb"| 36 || May 12 ||

text: D-backs

text: || 10 – 4 ||

text: Oswalt

text: (6-2)  ||

text: Hernández

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text: Braves

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text: Braves

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text: Marlins

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text: Marlins

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text: Marlins

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text: Dodgers

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text: Dodgers

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text: Padres

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text: Padres

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text: Padres

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text: Nationals

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text: Cardinals

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text: Cardinals

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text: Wells

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text: Cardinals

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text: Cubs

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text: Rodríguez

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text: Cubs

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text: Patton

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text: Dempster

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text: Cubs

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text: Qualls

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text: Dempster

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text: Brewers

text: || 9 – 7 ||

text: Borkowski

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text: Aquino

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text: Qualls

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text: Brewers

text: || 5 – 3 ||

text: Villanueva

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text: Cordero

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text: Brewers

text: || 14 – 2 ||

text: Gallardo

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text: Albers

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text: Mets

text: || 11 – 3 ||

text: Pelfrey

text: (2-7) ||

text: Rodríguez

text: (8-13) || || 51,113 || 62-79|- style="background-color:#ffbbbb"| 142 || September 8 || @

text: Mets

text: || 3 – 1 ||

text: Glavine

text: (13-6) ||

text: Williams

text: (8-14) ||

text: Wagner

text: (31) || 53,061 || 62-80|- style="background-color:#ffbbbb"| 143 || September 9 || @

text: Mets

text: || 4 – 1 ||

text: Martínez

text: (2-0) ||

text: Oswalt

text: (14-7) ||

text: Wagner

text: (32) || 51,847 || 62-81|- style="background-color:#bbffbb"| 144 || September 11 ||

text: Cubs

text: || 5 – 4 (11) ||

text: Lidge

text: (4-2) ||

text: Dempster

text: (2-6) || || 33,493 || 63-81|- style="background-color:#ffbbbb"| 145 || September 12 ||

text: Cubs

text: || 3 – 2 ||

text: Hill

text: (9-8) ||

text: Albers

text: (4-8) ||

text: Dempster

text: (26) || 33,115 || 63-82|- style="background-color:#ffbbbb"| 146 || September 13 ||

text: Cubs

text: || 6 – 2 ||

text: Trachsel

text: (7-10) ||

text: Williams

text: (8-15) || || 34,234 || 63-83|- style="background-color:#ffbbbb"| 147 || September 14 ||

text: Pirates

text: || 4 – 3 ||

text: Sánchez

text: (1-0) ||

text: Qualls

text: (6-5) ||

text: Capps

text: (17) || 35,352 || 63-84|- style="background-color:#bbffbb"| 148 || September 15 ||

text: Pirates

text: || 9 – 7 ||

text: Gutiérrez

text: (1-1) ||

text: Morris

text: (9-10) ||

text: Lidge

text: (15) || 40,425 || 64-84|- style="background-color:#bbffbb"| 149 || September 16 ||

text: Pirates

text: || 15 – 3 ||

text: Backe

text: (1-1) ||

text: Maholm

text: (10-15) || || 35,715 || 65-84|- style="background-color:#ffbbbb"| 150 || September 17 ||

text: Brewers

text: || 6 – 0 ||

text: Gallardo

text: (9-4) ||

text: Albers

text: (4-9) || || 32,578 || 65-85|- style="background-color:#ffbbbb"| 151 || September 18 ||

text: Brewers

text: || 9 – 1 ||

text: Vargas

text: (11-4) ||

text: Paulino

text: (0-1) || || 32,866 || 65-86|- style="background-color:#bbffbb"| 152 || September 19 ||

text: Brewers

text: || 5 – 4 (10) ||

text: Lidge

text: (5-2) ||

text: Wise

text: (3-2) || || 36,981 || 66-86|- style="background-color:#bbffbb"| 153 || September 20 || @

text: Cardinals

text: || 18 – 1 ||

text: Rodríguez

text: (9-13) ||

text: Looper

text: (12-11) || || 42,171 || 67-86|- style="background-color:#bbffbb"| 154 || September 21 || @

text: Cardinals

text: || 6 – 3 ||

text: Backe

text: (2-1) ||

text: Piñeiro

text: (6-5) ||

text: Lidge

text: (16) || 43,677 || 68-86|- style="background-color:#ffbbbb"| 155 || September 22 || @

text: Cardinals

text: || 7 – 4 ||

text: Thompson

text: (7-6) ||

text: Albers

text: (4-10) ||

text: Isringhausen

text: (30) || 46,237 || 68-87|- style="background-color:#ffbbbb"| 156 || September 23 || @

text: Cardinals

text: || 4 – 3 ||

text: Jiménez

text: (3-0) ||

text: Lidge

text: (5-3) || || 46,169 || 68-88|- style="background-color:#bbffbb"| 157 || September 25 || @

text: Reds

text: || 8 – 5 ||

text: Paulino

text: (1-1) ||

text: Coutlangus

text: (4-2) ||

text: Lidge

text: (17) || 13,261 || 69-88|- style="background-color:#bbffbb"| 158 || September 26 || @

text: Reds

text: || 7 – 6 ||

text: Sarfate

text: (1-0) ||

text: Burton

text: (4-2) ||

text: Qualls

text: (5) || 13,138 || 70-88|- style="background-color:#bbffbb"| 159 || September 27 || @

text: Reds

text: || 4 – 3 ||

text: Borkowski

text: (5-3) ||

text: Majewski

text: (0-4) ||

text: Lidge

text: (18) || 13,626 || 71-88|- style="background-color:#ffbbbb"| 160 || September 28 ||

text: Braves

text: || 7 – 2 ||

text: Reyes

text: (2-2) ||

text: Albers

text: (4-11) || || 43,011 || 71-89|- style="background-color:#bbffbb"| 161 || September 29 ||

text: Braves

text: || 3 – 2 ||

text: Backe

text: (3-1) ||

text: Bennett

text: (2-1) ||

text: Lidge

text: (19) || 43,624 || 72-89|- style="background-color:#bbffbb"| 162 || September 30 ||

text: Braves

text: || 3 – 0 ||

text: Paulino

text: (2-1) ||

text: Carlyle

text: (8-7) ||

text: Borkowski

text: (1) || 43,823 || 73-89

text: R. palaea has been placed in the Arecoideae genus Roystonea, which has ten modern genera native to the islands of the Caribbean, and to Florida, Central and South America.   Many of the characters used to separate modern species of Roystonea, including coloration, are not visible in the preserved flowers.   The fossil flowers have darkened to shades of brown, with only the anthers retaining a light whitish color.  Of the modern genera the R. palaea flowers are similar in structure, R. oleracea and R. dunlapiana both having a similar petal to sepal length ratio.   R. palaea is most distinguishable from modern species by the large size of the calyx.  The three species differ in the shape and length of their sepals, R. palaea having the longest of the species while R. dunlapiana has the shortest.   R. oleracea also possesses longer anthers at which are recurved at the tips, unlike R. palaea, with anthers   and straight. Along with the shorter sepal length R. dunlapiana also has purple anthers, differing from the light-colored anthers of R. palaea.

text: R. palaea has been placed in the

text: Arecoideae

text: genus

text: Roystonea

text: , which has ten modern genera native to the islands of the Caribbean, and to Florida, Central and South America.   Many of the characters used to separate modern species of Roystonea, including coloration, are not visible in the preserved flowers.   The fossil flowers have darkened to shades of brown, with only the anthers retaining a light whitish color.  Of the modern genera the R. palaea flowers are similar in structure,

text: R. oleracea

text: and

text: R. dunlapiana

text: both having a similar petal to sepal length ratio.   R. palaea is most distinguishable from modern species by the large size of the

text: calyx

text: .  The three species differ in the shape and length of their

text: sepal

text: s, R. palaea having the longest of the species while R. dunlapiana has the shortest.   R. oleracea also possesses longer

text: anther

text: s at which are recurved at the tips, unlike R. palaea, with anthers   and straight. Along with the shorter sepal length R. dunlapiana also has purple anthers, differing from the light-colored anthers of R. palaea.

text: Michael Tye argues among other things, that there is only one correct way to see colors. Therefore, the colorblind and most mammals do not really have color vision because their vision differs from the vision of "normal" humans. Similarly, creatures with more advanced color vision, although better able to distinguish objects than people, are actually suffering from color illusions because their vision differs from humans. Tye advanced this particular position in an essay called True Blue.

text: Chevrolet made extensive changes to the Spyder package including separate equipment and appearance packages with separate RPO codes found on the build sheet.  The Spyder equipment package was a regular production option (RPO) Z01, while the Spyder appearance package was RPO Z02.  The Spyder packages were available on Monza 2+2 sport hatchbacks.  Spyder decal colors were determined by the body color of the Monza ordered.  There were four color combinations for 1977.  For 1979, there were six combinations, which included a green and a blue color scheme.

text: |-! style="color:#FFFFFF; background-color: #CD853F" | No. in

text: There is a direct correlation between the geographic distribution of UV radiation (UVR) and the distribution of indigenous skin pigmentation around the world. Areas that receive higher amounts of UVR, generally located closer to the equator, tend to have darker-skinned populations. Areas that are far from the tropics and closer to the poles have lower intensity of UVR, which is reflected in lighter-skinned populations. Researchers suggest that human populations over the past 50,000 years have changed from dark-skinned to light-skinned and vice versa as they migrated to different UV zones, and that such major changes in pigmentation may have happened in as little as 100 generations (≈2,500 years) through selective sweeps. Natural skin color can also darken as a result of tanning due to exposure to sunlight. The leading theory is that skin color adapts to intense sunlight irradiation to provide partial protection against the ultraviolet fraction that produces damage and thus mutations in the DNA of the skin cells. In addition, it has been observed that adult human females on average are significantly lighter in skin pigmentation than males. Females need more calcium during pregnancy and lactation. The body synthesizes vitamin D from sunlight, which helps it absorb calcium. Females evolved to have lighter skin so their bodies absorb more calcium.

text: There is a direct correlation between the geographic distribution of UV radiation (UVR) and the distribution of indigenous skin pigmentation around the world. Areas that receive higher amounts of UVR, generally located closer to the equator, tend to have darker-skinned populations. Areas that are far from the tropics and closer to the poles have lower intensity of UVR, which is reflected in lighter-skinned populations. Researchers suggest that human populations over the past 50,000 years have changed from dark-skinned to light-skinned and vice versa as they migrated to different UV zones, and that such major changes in pigmentation may have happened in as little as 100 generations (≈2,500 years) through

text: selective sweep

text: s. Natural skin color can also darken as a result of

text: tanning

text: due to exposure to

text: sunlight

text: . The leading theory is that skin color adapts to intense sunlight irradiation to provide partial protection against the ultraviolet fraction that produces damage and thus mutations in the

text: DNA

text: of the skin cells. In addition, it has been observed that adult human

text: females

text: on average are significantly lighter in skin pigmentation than

text: males

text: . Females need more

text: calcium

text: during

text: pregnancy

text: and

text: lactation

text: . The body synthesizes

text: vitamin D

text: from sunlight, which helps it absorb calcium. Females evolved to have lighter skin so their bodies absorb more calcium.

text: The most commonly seen consequence of dispersion in optics is the separation of white light into a color spectrum by a prism. From Snell's law it can be seen that the angle of refraction of light in a prism depends on the refractive index of the prism material. Since that refractive index varies with wavelength, it follows that the angle that the light is refracted by will also vary with wavelength, causing an angular separation of the colors known as angular dispersion.

text: The most commonly seen consequence of dispersion in optics is the separation of

text: white light

text: into a

text: color spectrum

text: by a

text: prism

text: . From

text: Snell's law

text: it can be seen that the angle of

text: refraction

text: of light in a prism depends on the refractive index of the prism material. Since that refractive index varies with wavelength, it follows that the angle that the light is refracted by will also vary with wavelength, causing an angular separation of the colors known as angular dispersion.

text: Southern Cameroons opted to join Cameroon on 1 October 1961.  In the meantime, the area was administered as a United Kingdom Trust Territory (UKTT) and used stamps of Nigeria, values one halfpenny to one pound, that were inscribed CAMEROONS U.K.T.T.  These stamps were also valid in Northern Cameroons.  The stamps became invalid in each area when its separate existence ended.

text: Most brands produce gradations of a color, the original pigment of which tends to be dark, from pure pigment to near-white by mixing in differing quantities of chalk. This mixing of pigments with chalks is the origin of the word "pastel" in reference to "pale color" as it is commonly used in cosmetic and fashion venues.

text: Most brands produce gradations of a color, the original pigment of which tends to be dark, from pure pigment to near-white by mixing in differing quantities of

text: chalk

text: . This mixing of pigments with chalks is the origin of the word "pastel" in reference to "pale color" as it is commonly used in cosmetic and fashion venues.

text: Compare the subtractive colors to the additive colors in the two primary color charts in the article on primary colors to see the distinction between electric colors as reproducible from light on a computer screen (additive colors) and the pigment colors reproducible with pigments (subtractive colors); the additive colors are a lot brighter because they are produced from light instead of pigment.

text: primary colors

text: to see the distinction between electric colors as reproducible from light on a computer screen (additive colors) and the pigment colors reproducible with pigments (subtractive colors); the additive colors are a lot brighter because they are produced from light instead of pigment.

text: Tissue transluminated by white light has a refraction index in agreement with its texture. By the impression of the camera on the skin, red and yellow colors are observed. The red color is soon dispersed in the skin and the yellow surrounding it begins to alter its tonality with the change in source direction. A shade with the change of source direction arises. It is known that the refraction index changes in agreement with the spectrum of transmitted light; when the white light is projected and finds an obstacle, it becomes separated into the three elementary colors (red, blue and green). Light during translumination may have greater dispersion or reflection, depending on how the source is placed on the examined area. This handling may improve or degrade the image, depending on the examiner's experience.

text: In July 2009 the Polish media group Agora SA invested in AdTaily, and started using the AdTaily system across 80 per cent of its portfolio of websites.

text: In July 2009 the Polish media group

text: Agora SA

text: invested in AdTaily, and started using the AdTaily system across 80 per cent of its portfolio of websites.

text: In addition to the Gestalt principles of perception, water-color illusions contribute to the formation of optical illusions. Water-color illusions consist of object-hole effects and coloration. Object-hole effects occur when boundaries are prominent where there is a figure and background with a hole that is 3D volumetric in appearance. Coloration consists of an assimilation of color radiating from a thin-colored edge lining a darker chromatic contour. The water-color illusion describes how the human mind perceives the wholeness of an object such as top-down processing.  Thus, contextual factors play into perceiving the brightness of an object.

text: Surviving 5"/51 caliber guns include:

text: Surviving 5"/51 caliber guns include:

text: The components of a triple, such as the statement "The sky has the color blue", consist of a subject ("the sky"), a predicate ("has the color"), and an object ("blue"). This is similar to the classical notation of an entity–attribute–value model within object-oriented design, where this example would be expressed as an entity (sky), an attribute (color) and a value (blue). From this basic structure, triples can be composed into more complex models, by using triples as objects or subjects of other triples — for example, Mike → said → (triples → can be → objects).

text: The components of a triple, such as the statement "The sky has the color blue", consist of a

text: subject

text: ("the sky"), a

text: predicate

text: ("has the color"), and an

text: object

text: ("blue"). This is similar to the classical notation of an

text: entity–attribute–value model

text: within

text: object-oriented design

text: , where this example would be expressed as an entity (sky), an attribute (color) and a value (blue). From this basic structure, triples can be composed into

text: more complex models

text: , by using triples as objects or subjects of other triples — for example, Mike → said → (triples → can be → objects).

text: The Turkey Creek Sanctuary is a small nature reserve in the city of Palm Bay in Brevard County, Florida, and incorporates both salty hammock and sand pine ridge habitats.  The sanctuary is part of the Brevard County Environmentally Endangered Lands (EEL) program. It has 1.85 miles (3 km) of boardwalk paths and 1.5 miles (2.4 km) of jogging trails through native forest to Turkey Creek, an excellent site for seeing birds, turtles, manatees, alligators as well as other local wildlife; there is a canoe deck on the creek. The creek is an important breeding ground for both salt and fresh water fish. The Sanctuary is part of the East Florida section of the Great Florida Birding Trail.

text: The Turkey Creek Sanctuary is a small

text: nature reserve

text: in the city of

text: Palm Bay

text: in

text: Brevard County, Florida

text: , and incorporates both salty

text: hammock

text: and sand pine ridge habitats.  The sanctuary is part of the Brevard County Environmentally Endangered Lands (EEL) program. It has 1.85 miles (3 km) of boardwalk paths and 1.5 miles (2.4 km) of jogging trails through native forest to

text: Turkey Creek

text: , an excellent site for seeing

text: bird

text: s,

text: turtle

text: s,

text: manatee

text: s,

text: alligator

text: s as well as other local wildlife; there is a

text: canoe

text: deck on the creek. The creek is an important breeding ground for both salt and fresh water fish. The Sanctuary is part of the East Florida section of the

text: Great Florida Birding Trail

text: The color temperature of a light source is the temperature of an ideal black-body radiator that radiates light of comparable hue to that of the light source. Color temperature is a characteristic of visible light that has important applications in lighting, photography, videography, publishing, manufacturing, astrophysics, horticulture, and other fields. In practice, color temperature is only meaningful for light sources that do in fact correspond somewhat closely to the radiation of some black body, i.e., those on a line from reddish/orange via yellow and more or less white to blueish white; it does not make sense to speak of the color temperature of, e.g., a green or a purple light. Color temperature is conventionally stated in the unit of absolute temperature, the Kelvin, having the unit symbol K.

text: temperature

text: of an ideal

text: black-body radiator

text: that radiates light of comparable

text: hue

text: visible light

text: that has important applications in

text: lighting

text: photography

text: videography

text: publishing

text: manufacturing

text: astrophysics

text: horticulture

text: , and other fields. In practice, color temperature is only meaningful for light sources that do in fact correspond somewhat closely to the radiation of some black body, i.e., those on a line from reddish/orange via yellow and more or less white to blueish white; it does not make sense to speak of the color temperature of, e.g., a green or a purple light. Color temperature is conventionally stated in the unit of absolute temperature, the

text: Kelvin

text: , having the unit symbol K.

text: Jon Irazustabarrena Lizarralde (born 30 April 1986), known as Txusta, is a Spanish footballer who plays for Barakaldo CF as a goalkeeper.

text: Jon Irazustabarrena Lizarralde (born 30 April 1986), known as Txusta, is a Spanish

text: footballer

text: who plays for

text: Barakaldo CF

text: as a

text: goalkeeper

text: Bailén is probably the ancient Baecula, where the Romans, under Scipio the elder, signally defeated the Carthaginians in 209 and 206 B.C. In its neighbourhood, also, in 1212, was fought the great Battle of Las Navas de Tolosa, in which, according to the ancient chroniclers, the Castilians under Alphonso VIII, slew 200,000 Almohads, and themselves only lost 25 men. Although this estimate is absurd, the victory of the Christians was complete.

text: Bailén is probably the ancient Baecula, where the

text: Romans

text: , under

text: Scipio the elder

text: , signally defeated the

text: Carthaginians

text: in 209 and 206 B.C. In its neighbourhood, also, in 1212, was fought the great

text: Battle of Las Navas de Tolosa

text: , in which, according to the ancient chroniclers, the

text: Castilians

text: under

text: Alphonso VIII

text: , slew 200,000

text: Almohads

text: , and themselves only lost 25 men. Although this estimate is absurd, the victory of the Christians was complete.

text: In flash photography the light of the flash occurs too fast for the pupil to close, so much of the very bright light from the flash passes into the eye through the pupil, reflects off the fundus at the back of the eyeball and out through the pupil.  The camera records this reflected light.  The main cause of the red color is the ample amount of blood in the choroid which nourishes the back of the eye and is located behind the retina. The blood in the retinal circulation is far less than in the choroid, and plays virtually no role. The eye contains several photostable pigments that all absorb in the short wavelength region, and hence contribute somewhat to the red eye effect. The lens cuts off deep blue and violet light, below 430 nm (depending on age), and macular pigment absorbs between 400 and 500 nm, but this pigment is located exclusively in the tiny fovea. Melanin, located in the retinal pigment epithelium (RPE) and the choroid, shows a gradually increasing absorption towards the short wavelengths. But blood is the main determinant of the red color, because it is completely transparent at long wavelengths and abruptly starts absorbing at 600 nm. The amount of red light emerging from the pupil depends on the amount of melanin in the layers behind the retina. This amount varies strongly between individuals. Light skinned people with blue eyes have relatively low  melanin in the fundus and thus show a much stronger red-eye effect than  dark skinned people with brown eyes. The same holds for animals. The color of the iris itself is of virtually no importance for the red-eye effect. This is obvious because the red-eye effect is most apparent when photographing dark adapted subjects, hence with fully dilated pupils. Photographs taken with infrared light through night vision devices always show very bright pupils because, in the dark, the pupils are fully dilated and the infrared light is not absorbed by any ocular pigment.

text: In flash photography the

text: light

text: of the flash occurs too fast for the

text: pupil

text: to close, so much of the very bright light from the flash passes into the eye through the pupil,

text: reflects

text: off the

text: fundus

text: at the back of the eyeball and out through the pupil.  The camera records this reflected light.  The main cause of the red color is the ample amount of blood in the

text: choroid

text: which nourishes the back of the eye and is located behind the retina. The blood in the retinal circulation is far less than in the choroid, and plays virtually no role. The eye contains several photostable pigments that all absorb in the short wavelength region, and hence contribute somewhat to the red eye effect. The

text: lens

text: cuts off deep blue and violet light, below 430 nm (depending on age), and macular pigment absorbs between 400 and 500 nm, but this pigment is located exclusively in the tiny

text: fovea

text: Melanin

text: , located in the

text: retinal pigment epithelium

text: (RPE) and the choroid, shows a gradually increasing absorption towards the short wavelengths. But blood is the main determinant of the red color, because it is completely transparent at long wavelengths and abruptly starts absorbing at 600 nm. The amount of red light emerging from the pupil depends on the amount of melanin in the layers behind the retina. This amount varies strongly between individuals. Light skinned people with blue eyes have relatively low  melanin in the

text: fundus

text: and thus show a much stronger red-eye effect than  dark skinned people with brown eyes. The same holds for animals. The color of the

text: iris

text: itself is of virtually no importance for the red-eye effect. This is obvious because the red-eye effect is most apparent when photographing dark adapted subjects, hence with fully dilated pupils. Photographs taken with infrared light through night vision devices always show very bright pupils because, in the dark, the pupils are fully dilated and the infrared light is not absorbed by any ocular pigment.

text: Theddlethorpe St Helen has a primary school.

text: Chromophores are particles that absorb certain wavelengths (colors) of light.

text: The following products have been superseded, or are no longer available:

text: Initially, CD lasers with a wavelength of 780 nm were used, being within infrared range. For DVDs, the wavelength was reduced to 650 nm (red color), and the wavelength for Blu-ray Disc was reduced to 405 nm (violet color).

text: Initially, CD lasers with a

text: wavelength

text: of 780 nm were used, being within infrared range. For DVDs, the wavelength was reduced to 650 nm (red color), and the wavelength for Blu-ray Disc was reduced to 405 nm (violet color).

text: Joseph William Easby (12 August 1867 – 7 February 1914) was an English cricketer who played first class cricket for Kent between 1894-1899. He was born at Appleton Wiske, Yorkshire, and died at Dover, Kent.

text: Joseph William Easby (12 August 1867 – 7 February 1914) was an

text: English

text: cricketer

text: who played

text: first class cricket

text: for

text: Kent

text: between 1894-1899. He was born at

text: Appleton Wiske

text: Yorkshire

text: , and died at

text: Dover

text: Kent

text: In color science, the dominant wavelength and complementary wavelength are ways of describing non-spectral (polychromatic) light mixtures in terms of the spectral (monochromatic) light that evokes an identical perception of hue.

text: In

text: color science

text: , the dominant wavelength and complementary wavelength are ways of describing non-spectral (polychromatic) light mixtures in terms of the

text: spectral

text: (monochromatic)

text: light

text: that evokes an identical perception of

text: hue

text: Under the anole's skin are pigment cells called chromatophores responsible for its usual coloration. Underneath these pigment cells are specialized pigment cells called melanocytes which contain the pigment melanin, in response to changes in the lizards hormones these cells can expand and mask the ordinary pigment cells, resulting in a change to a darker coloration, thus the anole is capable of changing its hue from bright blue, to varying shades of brown or almost completely black when stressed.often the end of the tail,and sometimes the trunk,remains colored during a color change.These lizards also have the ability to change the color of only one half of their bodies.

text: Under the anole's skin are pigment cells called

text: chromatophore

text: s responsible for its usual coloration. Underneath these pigment cells are specialized pigment cells called

text: melanocyte

text: s which contain the pigment melanin, in response to changes in the lizards hormones these cells can expand and mask the ordinary pigment cells, resulting in a change to a darker coloration, thus the anole is capable of changing its hue from bright blue, to varying shades of brown or almost completely black when stressed.often the end of the tail,and sometimes the trunk,remains colored during a color change.These lizards also have the ability to change the color of only one half of their bodies.

text: Andrew recalls that Leonie has warned him that Callista was trained in the old ways of Keepers, and may not be able to consummate their relationship for a long time.  Ellemir has a premonition of her father’s death.  Desiderio Leynier, a nedestro relation (Dom Alton's illegitimate son), creates trouble at the wedding feast.

text: The Flemish miniature did not, however, hold the favor of western Europe without a rival. That rival had arisen in the south, and had come to perfection concurrently with the miniature of the Low Countries in the 15th century. This was the Italian miniature, which passed through the same stages as the miniatures of England and France and the Low Countries. Intercommunication between the countries of Europe was too well established for the case to be otherwise. In Italian manuscripts of the normal type the influence of Byzantine art is very manifest during the 13th and 14th centuries. The old system of painting the flesh tints upon olive green or some similar pigment, which is left exposed on the lines of the features, thus obtaining a swarthy complexion, continued to be practiced in a more or less modified form into the 15th century. As a rule, the pigments used are more opaque than those employed in the northern schools; and the artist trusted more to color alone to obtain the desired effect than to the mixture of color and gold which gave such brilliant results in the diapered patterns of France. The vivid scarlet of the Italian miniaturists is peculiarly their own. The figure-drawing is less realistic than the contemporary art of English and French manuscripts, the human form being often thick-set. In general, the Italian miniature, before its great expansion in the 14th century, is far behind the miniatures of the north. But with the 15th century, under the influence of the Renaissance, it advanced into the front rank and rivalled the best work of the Flemish school. The use of thicker pigments enabled the miniaturist to obtain the hard and polished surface so characteristic of his work, and to maintain sharpness of outline, without losing the depth and richness of color which compare with the same qualities in the Flemish school.

text: Renaissance

text: , it advanced into the front rank and rivalled the best work of the Flemish school. The use of thicker pigments enabled the miniaturist to obtain the hard and polished surface so characteristic of his work, and to maintain sharpness of outline, without losing the depth and richness of color which compare with the same qualities in the Flemish school.

text: Cyclamen mirabile has two naturally occurring forms, distinguished by flower color:

text: Cyclamen mirabile has two naturally occurring

text: forms

text: , distinguished by flower color: