2025 Projections






ZiPS:
Select
  • 2024
  • 2023
  • 2022
  • 2021
  • 2020
  • 2019
  • 2018
  • 2017
  • 2016
  • 2015
  • 2014
  • 2013
  • 2012
  • 2011
  • 2010
  • Steamer:
    Select
  • 2024
  • 2023
  • 2022
  • 2021
  • 2020
  • 2019
  • 2018
  • 2017
  • 2016
  • 2015
  • 2014
  • 2013
  • 2012

  • General Projections
    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
  • 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
    ZiPS:
    Select
  • 2024
  • 2023
  • 2022
  • 2021
  • 2020
  • 2019
  • 2018
  • 2017
  • 2016
  • 2015
  • 2014
  • 2013
  • 2012
  • 2011
  • 2010
  • Steamer:
    Select
  • 2024
  • 2023
  • 2022
  • 2021
  • 2020
  • 2019
  • 2018
  • 2017
  • 2016
  • 2015
  • 2014
  • 2013
  • 2012
  • 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
    1Mason MillerATH322861066.113.053.080.84.28376.9%2.772.641.3
    2Cade SmithCLE42264067.111.702.910.68.30374.4%2.982.671.2
    3Emmanuel ClaseCLE433765067.08.581.710.57.27975.7%2.582.741.1
    4Jhoan DuranMIN542861062.211.002.800.67.30476.8%2.822.811.0
    5Félix BautistaBAL422752055.213.173.700.84.28279.5%2.682.811.0
    6Griffin JaxMIN54762065.110.532.400.85.29273.7%3.152.980.9
    7Jeff HoffmanTOR322762062.111.203.070.98.28476.9%3.093.260.9
    8Chris MartinTEX421454056.19.291.380.93.31174.0%3.273.040.8
    9Robert GarciaTEX44862062.210.043.070.87.29574.3%3.373.320.8
    10Keegan AkinBAL42161068.110.042.511.09.29073.7%3.503.440.8
    11Josh HaderHOU543362062.212.683.581.12.27676.8%3.213.290.8
    12Bryan AbreuHOU42569071.111.743.750.91.29176.9%3.153.300.8
    13Andrés MuñozSEA432758059.211.533.500.73.28378.4%2.732.990.8
    14Devin WilliamsNYY533157058.212.384.210.79.27578.1%2.853.110.8
    15Lucas ErcegKCR441462065.010.233.400.69.30671.7%3.543.240.8
    16Brant HurterDET43038253.07.682.200.75.29869.4%3.713.420.7
    17Cole SandsMIN53456062.19.812.681.00.30072.1%3.683.500.7
    18Gregory SantosSEA22348052.18.973.050.66.30073.3%3.343.320.7
    19Aroldis ChapmanBOS431959058.113.345.420.80.30275.7%3.423.290.6
    20Hunter HarveyKCR33257059.29.492.670.93.30271.2%3.713.430.6
    21Garrett WhitlockBOS33447157.19.012.141.05.30271.9%3.723.520.6
    22Fernando CruzNYY33058159.112.564.201.09.30273.8%3.743.480.6
    23Ben JoyceLAA331056058.210.824.240.75.29374.9%3.353.480.6
    24Tyler HoltonDET32858166.17.832.170.92.27073.4%3.293.590.6
    25Pete FairbanksTBR332351052.110.093.350.92.28573.8%3.453.480.6
    26Justin SlatenBOS43558064.09.513.081.03.30172.4%3.833.680.6
    27Will VestDET33261062.28.782.770.79.29873.4%3.423.410.6
    28Edwin UcetaTBR321057064.110.123.321.11.27973.4%3.673.800.5
    29Ian HamiltonNYY22351057.19.763.560.78.30073.5%3.513.470.5
    30Tim HerrinCLE42058058.09.543.590.71.28773.8%3.333.420.5
    #NameTeamWLSVGGSIPK/9BB/9HR/9BABIPLOB%GB%ERAFIPWAR
    1Mason MillerATH322861066.113.053.080.84.28376.9%2.772.641.3
    2Cade SmithCLE42264067.111.702.910.68.30374.4%2.982.671.2
    3Emmanuel ClaseCLE433765067.08.581.710.57.27975.7%2.582.741.1
    4Jhoan DuranMIN542861062.211.002.800.67.30476.8%2.822.811.0
    5Félix BautistaBAL422752055.213.173.700.84.28279.5%2.682.811.0
    6Griffin JaxMIN54762065.110.532.400.85.29273.7%3.152.980.9
    7Jeff HoffmanTOR322762062.111.203.070.98.28476.9%3.093.260.9
    8Chris MartinTEX421454056.19.291.380.93.31174.0%3.273.040.8
    9Robert GarciaTEX44862062.210.043.070.87.29574.3%3.373.320.8
    10Keegan AkinBAL42161068.110.042.511.09.29073.7%3.503.440.8
    11Josh HaderHOU543362062.212.683.581.12.27676.8%3.213.290.8
    12Bryan AbreuHOU42569071.111.743.750.91.29176.9%3.153.300.8
    13Andrés MuñozSEA432758059.211.533.500.73.28378.4%2.732.990.8
    14Devin WilliamsNYY533157058.212.384.210.79.27578.1%2.853.110.8
    15Lucas ErcegKCR441462065.010.233.400.69.30671.7%3.543.240.8
    16Brant HurterDET43038253.07.682.200.75.29869.4%3.713.420.7
    17Cole SandsMIN53456062.19.812.681.00.30072.1%3.683.500.7
    18Gregory SantosSEA22348052.18.973.050.66.30073.3%3.343.320.7
    19Aroldis ChapmanBOS431959058.113.345.420.80.30275.7%3.423.290.6
    20Hunter HarveyKCR33257059.29.492.670.93.30271.2%3.713.430.6
    21Garrett WhitlockBOS33447157.19.012.141.05.30271.9%3.723.520.6
    22Fernando CruzNYY33058159.112.564.201.09.30273.8%3.743.480.6
    23Ben JoyceLAA331056058.210.824.240.75.29374.9%3.353.480.6
    24Tyler HoltonDET32858166.17.832.170.92.27073.4%3.293.590.6
    25Pete FairbanksTBR332351052.110.093.350.92.28573.8%3.453.480.6
    26Justin SlatenBOS43558064.09.513.081.03.30172.4%3.833.680.6
    27Will VestDET33261062.28.782.770.79.29873.4%3.423.410.6
    28Edwin UcetaTBR321057064.110.123.321.11.27973.4%3.673.800.5
    29Ian HamiltonNYY22351057.19.763.560.78.30073.5%3.513.470.5
    30Tim HerrinCLE42058058.09.543.590.71.28773.8%3.333.420.5
    of 9
    Page Size:
    1 - 30 of 260 results
    of 9
    Page Size:
    1 - 30 of 260 results
    • 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.