2025 Projections






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  • General Projections
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  • Context Neutral
    Steamer:
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  • Overall - No Split
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  • Overall - No Split
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  • 600 PA / 200 IP
    3-Year
    Historical Projections
    New! Members Exclusive Data
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  • Splits - Steamer Projections
    New! Members Exclusive Data
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  • Overall - No Split
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  • Steamer Ros:
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  • Overall - No Split
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  • Steamer
    (Context Neutral):
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  • Data Export [Members Only]
    #NameTeamGPAHRRRBISBBB%K%ISOBABIPAVGOBPSLGwOBAwRC+BsROffDefWAR
    1Shohei OhtaniLAD145642411131043312.5%22.8%.295.317.286.379.581.4021632.750.3-13.86.0
    2Yordan AlvarezHOU138599379098312.4%16.6%.283.305.298.394.581.409173-1.548.7-13.95.7
    3Adley RutschmanBAL143602207571211.1%15.8%.168.279.258.343.426.334122-0.714.28.34.4
    4Manny MachadoSDP14762629799487.9%19.3%.203.286.264.322.467.337119-1.112.60.83.5
    5Yainer DiazHOU13454220647414.3%17.9%.175.309.280.314.455.330117-1.98.84.23.2
    6Rafael DeversBOS140606298490310.4%21.7%.232.303.269.350.502.361132-1.120.8-13.92.8
    7Brent RookerATH14260335809289.4%29.8%.248.310.253.332.501.356131-0.521.6-15.22.7
    8Brandon LoweTBR11447622626759.4%25.7%.215.280.239.318.454.3331160.29.00.32.6
    9Royce LewisMIN10242620556148.2%23.1%.210.285.252.315.462.334119-0.48.90.52.4
    10Yandy DíazTBR13960416716719.9%14.8%.147.314.285.361.431.347125-2.715.1-11.72.4
    11Kyle SchwarberPHI148652369693415.0%28.9%.241.261.222.344.464.349124-1.517.3-16.62.3
    12Vinnie PasquantinoKCR13758722708328.9%13.1%.194.272.267.336.461.343122-1.913.5-10.92.3
    13Ryan JeffersMIN10641417495238.1%22.9%.193.267.235.313.427.322111-0.94.34.12.3
    14Christian YelichMIL1175091571582112.7%21.2%.161.324.268.365.430.3461221.915.5-10.52.3
    15Willson ContrerasSTL129545226967610.6%24.7%.190.300.248.348.438.344123-1.413.3-9.62.3
    16Marcell OzunaATL14661932829219.7%24.3%.220.301.261.336.482.351125-1.816.6-15.72.2
    17Seiya SuzukiCHC1285542072691210.5%25.1%.187.325.262.345.450.344123-1.113.8-13.02.0
    18Joc PedersonTEX107419215658411.3%23.5%.225.281.248.349.473.354133-0.914.7-11.51.8
    19Luis ArraezSDP1446295755775.6%5.4%.090.316.306.349.396.324110-0.66.7-11.21.7
    20Kerry CarpenterDET11647422587037.3%25.0%.217.301.256.319.473.339123-1.411.2-11.01.7
    21Jorge SolerLAA129547277071111.1%25.5%.219.271.235.327.453.338119-2.110.1-12.71.6
    22Trevor LarnachMIN114466175959310.5%26.1%.183.302.244.328.427.328115-1.17.0-7.41.6
    23Christopher MorelTBR12149522606389.1%27.5%.201.275.228.305.429.317105-0.12.8-7.31.2
    24Heston KjerstadBAL9636713444437.4%26.2%.173.316.252.323.425.324114-0.65.5-6.91.1
    25Ryan O'HearnBAL10440213495237.7%17.9%.168.293.263.323.431.326116-0.96.3-9.21.1
    26Kyle ManzardoCLE111444175155210.0%22.5%.191.271.236.317.427.322112-0.85.3-10.71.0
    27Gary SánchezBAL7025911283409.0%26.7%.185.252.213.296.399.304100-0.8-0.81.41.0
    28Mitch GarverSEA80317133338011.7%28.7%.179.252.205.306.384.305105-0.81.0-2.40.9
    29Alec BurlesonSTL11346215535866.4%13.7%.156.281.266.316.423.320107-1.02.8-9.20.9
    30Masataka YoshidaBOS652657313327.4%12.9%.146.296.276.340.421.332112-0.92.6-6.10.6
    #NameTeamGPAHRRRBISBBB%K%ISOBABIPAVGOBPSLGwOBAwRC+BsROffDefWAR
    1Shohei OhtaniLAD145642411131043312.5%22.8%.295.317.286.379.581.4021632.750.3-13.86.0
    2Yordan AlvarezHOU138599379098312.4%16.6%.283.305.298.394.581.409173-1.548.7-13.95.7
    3Adley RutschmanBAL143602207571211.1%15.8%.168.279.258.343.426.334122-0.714.28.34.4
    4Manny MachadoSDP14762629799487.9%19.3%.203.286.264.322.467.337119-1.112.60.83.5
    5Yainer DiazHOU13454220647414.3%17.9%.175.309.280.314.455.330117-1.98.84.23.2
    6Rafael DeversBOS140606298490310.4%21.7%.232.303.269.350.502.361132-1.120.8-13.92.8
    7Brent RookerATH14260335809289.4%29.8%.248.310.253.332.501.356131-0.521.6-15.22.7
    8Brandon LoweTBR11447622626759.4%25.7%.215.280.239.318.454.3331160.29.00.32.6
    9Royce LewisMIN10242620556148.2%23.1%.210.285.252.315.462.334119-0.48.90.52.4
    10Yandy DíazTBR13960416716719.9%14.8%.147.314.285.361.431.347125-2.715.1-11.72.4
    11Kyle SchwarberPHI148652369693415.0%28.9%.241.261.222.344.464.349124-1.517.3-16.62.3
    12Vinnie PasquantinoKCR13758722708328.9%13.1%.194.272.267.336.461.343122-1.913.5-10.92.3
    13Ryan JeffersMIN10641417495238.1%22.9%.193.267.235.313.427.322111-0.94.34.12.3
    14Christian YelichMIL1175091571582112.7%21.2%.161.324.268.365.430.3461221.915.5-10.52.3
    15Willson ContrerasSTL129545226967610.6%24.7%.190.300.248.348.438.344123-1.413.3-9.62.3
    16Marcell OzunaATL14661932829219.7%24.3%.220.301.261.336.482.351125-1.816.6-15.72.2
    17Seiya SuzukiCHC1285542072691210.5%25.1%.187.325.262.345.450.344123-1.113.8-13.02.0
    18Joc PedersonTEX107419215658411.3%23.5%.225.281.248.349.473.354133-0.914.7-11.51.8
    19Luis ArraezSDP1446295755775.6%5.4%.090.316.306.349.396.324110-0.66.7-11.21.7
    20Kerry CarpenterDET11647422587037.3%25.0%.217.301.256.319.473.339123-1.411.2-11.01.7
    21Jorge SolerLAA129547277071111.1%25.5%.219.271.235.327.453.338119-2.110.1-12.71.6
    22Trevor LarnachMIN114466175959310.5%26.1%.183.302.244.328.427.328115-1.17.0-7.41.6
    23Christopher MorelTBR12149522606389.1%27.5%.201.275.228.305.429.317105-0.12.8-7.31.2
    24Heston KjerstadBAL9636713444437.4%26.2%.173.316.252.323.425.324114-0.65.5-6.91.1
    25Ryan O'HearnBAL10440213495237.7%17.9%.168.293.263.323.431.326116-0.96.3-9.21.1
    26Kyle ManzardoCLE111444175155210.0%22.5%.191.271.236.317.427.322112-0.85.3-10.71.0
    27Gary SánchezBAL7025911283409.0%26.7%.185.252.213.296.399.304100-0.8-0.81.41.0
    28Mitch GarverSEA80317133338011.7%28.7%.179.252.205.306.384.305105-0.81.0-2.40.9
    29Alec BurlesonSTL11346215535866.4%13.7%.156.281.266.316.423.320107-1.02.8-9.20.9
    30Masataka YoshidaBOS652657313327.4%12.9%.146.296.276.340.421.332112-0.92.6-6.10.6
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    • ZiPS:ZiPS Projections courtesy of Dan Szymborski
    • ZiPS DC:ZiPS Projections pro-rated to Depth Charts playing time
    • Steamer:Steamer Projections courtesy of steamerprojections.com
    • Depth Charts:FanGraphs Depth Chart projections are a combination of ZiPS and Steamer projections with playing time allocated by our staff.
    • ATC:ATC Projections courtesy of Ariel Cohen
    • THE BAT:THE BAT projections courtesy of Derek Carty. DFS version of THE BAT available at RotoGrinders. Sports betting version of THE BAT available at EV Analytics
    • THE BAT X:THE BAT X projections courtesy of Derek Carty. DFS version of THE BAT X available at RotoGrinders. Sports betting version of THE BAT X available at EV Analytics
    • OOPSY:OOPSY projections courtesy of Jordan Rosenblum, with Depth Charts playing time. Peak version and other flavors available at scoutthestatline.com. Stuff+ courtesy of Eno Sarris.

    • On-Pace - Every Game Played:Please note, these are not projections. They represent a player's current seasons stats pro-rated for the remaining games in the season if they were to play in every single remaining game*. This is not how a player will actually perform the rest of the season, and should not be used for anything other than your own personal amusement. (*Starters pitch every 4.5 days and relievers pitch every 2.5 days.)
    • On-Pace - Games Played %:Please note, these are not projections. They represent a player's current seasons stats prorated for the remaining games in the season if they were to play the same percentage of total games they have already played this season. This is not how a player will actually perform the rest of the season, and should not be used for anything other than your own personal amusement.
    • RoS:Rest of Season
    • Update:Updated In-Season

    • ADP:ADP data provided courtesy of National Fantasy Baseball Championship
    • Inter-Projection Standard Deviation (InterSD):The standard deviation of the underlying projections surrounding the ATC average auction value. InterSD describes how much the projections disagree about the value of a player. The larger the InterSD, the more projections differ.
    • Inter-Projection Skewness (InterSK):The skewness of the underlying projections surrounding the ATC average auction value. InterSK describes the symmetry of the underlying projections. A positive InterSK means that a player’s mean is being pulled to the upside; the majority of projections are lower than the ATC average. A negative InterSK means that a player’s mean is being pulled to the downside; the majority of projections are higher than the ATC average.
    • Intra-Projection Standard Deviation (IntraSD):The standard deviation of a player’s categorical Z-Scores. IntraSD is a measure of the dimension of a player’s statistical profile. The smaller the IntraSD, the more balanced the individual player’s category contributions are. The larger the IntraSD, the more unbalanced the player’s category contributions are.