2025 Projections






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  • General Projections
    Steamer:
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  • Overall - No Split
  • as SP
  • as RP
  • vs RHB
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  • vs RHB as SP
  • vs LHB as SP
  • vs RHB as RP
  • vs LHB as RP
  • Steamer (RoS):
    Select
  • Overall - No Split
  • as SP
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  • vs RHB as RP
  • vs LHB as RP
  • Context Neutral
    Steamer:
    Select
  • Overall - No Split
  • as SP
  • as RP
  • vs RHB
  • vs LHB
  • vs RHB as SP
  • vs LHB as SP
  • vs RHB as RP
  • vs LHB as RP
  • Steamer (RoS)
    Select
  • Overall - No Split
  • as SP
  • as RP
  • vs RHB
  • vs LHB
  • vs RHB as SP
  • vs LHB as SP
  • vs RHB as RP
  • vs LHB as RP
  • 600 PA / 200 IP
    3-Year
    Historical Projections
    New! Members Exclusive Data
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  • Steamer:
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  • Splits - Steamer Projections
    New! Members Exclusive Data
    Steamer:
    Select
  • Overall - No Split
  • as SP
  • as RP
  • vs RHB
  • vs LHB
  • vs RHB as SP
  • vs LHB as SP
  • vs RHB as RP
  • vs LHB as RP
  • Steamer Ros:
    Select
  • Overall - No Split
  • as SP
  • as RP
  • vs RHB
  • vs LHB
  • vs RHB as SP
  • vs LHB as SP
  • vs RHB as RP
  • vs LHB as RP
  • Steamer
    (Context Neutral):
    Select
  • Overall - No Split
  • as SP
  • as RP
  • vs RHB
  • vs LHB
  • vs RHB as SP
  • vs LHB as SP
  • vs RHB as RP
  • vs LHB as RP
  • Steamer RoS
    (Context Neutral):
    Select
  • Overall - No Split
  • as SP
  • as RP
  • vs RHB
  • vs LHB
  • vs RHB as SP
  • vs LHB as SP
  • vs RHB as RP
  • vs LHB as RP
  • Data Export [Members Only]
    #NameTeamWLSVGGSIPK/9BB/9HR/9BABIPLOB%GB%ERAFIPWAR
    1Chris SaleATL12702626153.010.802.330.91.29774.7%3.153.023.6
    2Spencer SchwellenbachATL12802828166.08.782.011.05.29171.0%3.693.533.0
    3Spencer StriderATL10602222123.112.063.081.03.29773.0%3.473.112.9
    4Reynaldo LópezATL10702929158.19.553.011.04.29273.3%3.673.642.7
    5Grant HolmesATL7504517119.08.682.831.13.30172.3%3.993.941.2
    6Aaron BummerATL53161062.010.373.670.51.32672.4%3.482.970.9
    7Raisel IglesiasATL533465066.29.722.110.97.28475.1%3.143.220.8
    8AJ Smith-ShawverATL550291486.19.183.881.37.27971.2%4.384.510.6
    9Ian AndersonATL550391288.27.873.911.15.29772.0%4.364.470.6
    10Dylan LeeATL42057059.210.352.491.11.29778.1%3.183.360.6
    11Bryce ElderATL33017958.07.403.210.99.30169.4%4.344.150.5
    12Pierce JohnsonATL44361061.210.893.881.03.31074.8%3.733.640.4
    13Daysbel HernándezATL42047049.010.494.710.88.31074.8%3.783.840.3
    14John BrebbiaATL23047147.19.642.951.32.30070.5%4.294.040.2
    15Joe JiménezATL11018018.210.692.850.98.29572.1%3.553.310.2
    16José SuarezATL33240457.28.813.531.23.30170.4%4.464.320.2
    17Kevin HergetATL12024027.27.962.491.31.28971.5%4.164.240.1
    18Domingo GonzalezATL11022024.09.463.831.03.30270.5%4.224.040.1
    19Enyel De Los SantosATL21042043.19.163.441.30.29272.4%4.204.330.1
    20Davis DanielATL110809.28.172.561.18.30270.5%4.194.010.0
    21Drue HackenbergATL000116.17.484.041.04.29969.7%4.574.590.0
    22Hurston WaldrepATL1108216.08.184.281.18.30370.5%4.684.670.0
    23Enoli ParedesATL00016019.08.374.950.82.23872.6%3.624.340.0
    24Ray KerrATL000507.110.244.271.09.31772.8%4.214.070.0
    25Hayden HarrisATL110808.19.494.181.08.30073.1%4.094.180.0
    26Dylan DoddATL11023026.07.342.541.16.30969.7%4.424.150.0
    27Jesse ChavezATL11026028.28.263.001.20.29773.2%4.044.190.0
    28Austin CoxATL000707.27.023.711.12.29570.3%4.524.550.0
    29Rolddy MuñozATL11014014.28.264.041.05.30171.3%4.364.350.0
    30Jose CuasATL01010010.18.574.321.16.30070.6%4.574.690.0
    #NameTeamWLSVGGSIPK/9BB/9HR/9BABIPLOB%GB%ERAFIPWAR
    1Chris SaleATL12702626153.010.802.330.91.29774.7%3.153.023.6
    2Spencer SchwellenbachATL12802828166.08.782.011.05.29171.0%3.693.533.0
    3Spencer StriderATL10602222123.112.063.081.03.29773.0%3.473.112.9
    4Reynaldo LópezATL10702929158.19.553.011.04.29273.3%3.673.642.7
    5Grant HolmesATL7504517119.08.682.831.13.30172.3%3.993.941.2
    6Aaron BummerATL53161062.010.373.670.51.32672.4%3.482.970.9
    7Raisel IglesiasATL533465066.29.722.110.97.28475.1%3.143.220.8
    8AJ Smith-ShawverATL550291486.19.183.881.37.27971.2%4.384.510.6
    9Ian AndersonATL550391288.27.873.911.15.29772.0%4.364.470.6
    10Dylan LeeATL42057059.210.352.491.11.29778.1%3.183.360.6
    11Bryce ElderATL33017958.07.403.210.99.30169.4%4.344.150.5
    12Pierce JohnsonATL44361061.210.893.881.03.31074.8%3.733.640.4
    13Daysbel HernándezATL42047049.010.494.710.88.31074.8%3.783.840.3
    14John BrebbiaATL23047147.19.642.951.32.30070.5%4.294.040.2
    15Joe JiménezATL11018018.210.692.850.98.29572.1%3.553.310.2
    16José SuarezATL33240457.28.813.531.23.30170.4%4.464.320.2
    17Kevin HergetATL12024027.27.962.491.31.28971.5%4.164.240.1
    18Domingo GonzalezATL11022024.09.463.831.03.30270.5%4.224.040.1
    19Enyel De Los SantosATL21042043.19.163.441.30.29272.4%4.204.330.1
    20Davis DanielATL110809.28.172.561.18.30270.5%4.194.010.0
    21Drue HackenbergATL000116.17.484.041.04.29969.7%4.574.590.0
    22Hurston WaldrepATL1108216.08.184.281.18.30370.5%4.684.670.0
    23Enoli ParedesATL00016019.08.374.950.82.23872.6%3.624.340.0
    24Ray KerrATL000507.110.244.271.09.31772.8%4.214.070.0
    25Hayden HarrisATL110808.19.494.181.08.30073.1%4.094.180.0
    26Dylan DoddATL11023026.07.342.541.16.30969.7%4.424.150.0
    27Jesse ChavezATL11026028.28.263.001.20.29773.2%4.044.190.0
    28Austin CoxATL000707.27.023.711.12.29570.3%4.524.550.0
    29Rolddy MuñozATL11014014.28.264.041.05.30171.3%4.364.350.0
    30Jose CuasATL01010010.18.574.321.16.30070.6%4.574.690.0
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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.