2026 Projections






ZiPS:
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  • Steamer:
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  • 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
  • 3-Year
    Historical Projections
    Members Exclusive Data
    ZiPS:
    Select
  • 2025
  • 2024
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  • 2018
  • 2017
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  • 2013
  • 2012
  • 2011
  • 2010
  • Steamer:
    Select
  • 2025
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  • Splits - Steamer Projections
    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
    1Cole RagansKCR10802626155.211.173.190.97.29473.8%3.433.223.8
    2Kris BubicKCR9802924138.08.742.940.96.29672.4%3.753.662.5
    3Michael WachaKCR101002828163.16.942.671.22.28769.5%4.364.342.1
    4Noah CameronKCR9802626150.27.602.951.27.28771.5%4.244.371.6
    5Seth LugoKCR9902626156.17.642.961.35.29170.9%4.414.491.5
    6Matt StrahmKCR43361062.29.802.681.10.28173.5%3.523.580.7
    7Lucas ErcegKCR55660062.18.643.270.81.29371.5%3.723.670.5
    8Stephen KolekKCR33026760.06.502.790.92.30269.1%4.304.130.5
    9Justin TopaKCR34559061.27.492.830.86.30370.2%4.003.810.4
    10John SchreiberKCR33162061.18.303.271.06.29070.9%4.094.060.3
    11Ryan BergertKCR22019851.07.683.651.28.28769.7%4.614.610.3
    12Carlos EstévezKCR442861062.18.153.141.20.28170.5%4.184.230.3
    13Nick MearsKCR34058058.18.743.421.14.28870.2%4.224.090.2
    14Scott BarlowKCR33556056.09.544.761.05.28871.1%4.304.310.2
    15James McArthurKCR11022023.28.002.821.07.30169.8%4.224.000.1
    16Steven CruzKCR22035036.18.173.761.02.28670.9%4.154.190.1
    17Luinder AvilaKCR22024027.28.173.850.87.29470.7%4.094.020.1
    18Mitch SpenceKCR11022127.17.232.721.20.30469.4%4.514.300.1
    19Bailey FalterKCR43039569.06.662.941.41.28369.5%4.644.740.1
    20Alex LangeKCR22044044.09.344.850.91.29373.1%4.014.160.1
    21Easton McGeeKCR21026030.17.563.091.05.28669.7%4.174.130.1
    22Mason BlackKCR23023339.17.453.811.39.28969.2%4.874.900.0
    23Ben KudrnaKCR1107212.16.883.951.20.29768.6%4.904.810.0
    24Daniel Lynch IVKCR32048055.26.913.051.14.28871.0%4.234.400.0
    25Scott AlexanderKCR11026024.26.143.090.97.28269.4%4.234.340.0
    26Vince VelasquezKCR000606.08.754.151.33.28971.7%4.504.590.0
    27Connor SeaboldKCR11017019.17.523.001.41.29468.2%4.804.680.0
    28Randy DobnakKCR0108011.16.903.681.04.28771.6%4.234.51-0.1
    29Dan AltavillaKCR12037038.07.664.431.16.28769.4%4.724.82-0.1
    30Eli MorganKCR11024026.17.563.231.48.28669.1%4.784.78-0.1
    #NameTeamWLSVGGSIPK/9BB/9HR/9BABIPLOB%GB%ERAFIPWAR
    1Cole RagansKCR10802626155.211.173.190.97.29473.8%3.433.223.8
    2Kris BubicKCR9802924138.08.742.940.96.29672.4%3.753.662.5
    3Michael WachaKCR101002828163.16.942.671.22.28769.5%4.364.342.1
    4Noah CameronKCR9802626150.27.602.951.27.28771.5%4.244.371.6
    5Seth LugoKCR9902626156.17.642.961.35.29170.9%4.414.491.5
    6Matt StrahmKCR43361062.29.802.681.10.28173.5%3.523.580.7
    7Lucas ErcegKCR55660062.18.643.270.81.29371.5%3.723.670.5
    8Stephen KolekKCR33026760.06.502.790.92.30269.1%4.304.130.5
    9Justin TopaKCR34559061.27.492.830.86.30370.2%4.003.810.4
    10John SchreiberKCR33162061.18.303.271.06.29070.9%4.094.060.3
    11Ryan BergertKCR22019851.07.683.651.28.28769.7%4.614.610.3
    12Carlos EstévezKCR442861062.18.153.141.20.28170.5%4.184.230.3
    13Nick MearsKCR34058058.18.743.421.14.28870.2%4.224.090.2
    14Scott BarlowKCR33556056.09.544.761.05.28871.1%4.304.310.2
    15James McArthurKCR11022023.28.002.821.07.30169.8%4.224.000.1
    16Steven CruzKCR22035036.18.173.761.02.28670.9%4.154.190.1
    17Luinder AvilaKCR22024027.28.173.850.87.29470.7%4.094.020.1
    18Mitch SpenceKCR11022127.17.232.721.20.30469.4%4.514.300.1
    19Bailey FalterKCR43039569.06.662.941.41.28369.5%4.644.740.1
    20Alex LangeKCR22044044.09.344.850.91.29373.1%4.014.160.1
    21Easton McGeeKCR21026030.17.563.091.05.28669.7%4.174.130.1
    22Mason BlackKCR23023339.17.453.811.39.28969.2%4.874.900.0
    23Ben KudrnaKCR1107212.16.883.951.20.29768.6%4.904.810.0
    24Daniel Lynch IVKCR32048055.26.913.051.14.28871.0%4.234.400.0
    25Scott AlexanderKCR11026024.26.143.090.97.28269.4%4.234.340.0
    26Vince VelasquezKCR000606.08.754.151.33.28971.7%4.504.590.0
    27Connor SeaboldKCR11017019.17.523.001.41.29468.2%4.804.680.0
    28Randy DobnakKCR0108011.16.903.681.04.28771.6%4.234.51-0.1
    29Dan AltavillaKCR12037038.07.664.431.16.28769.4%4.724.82-0.1
    30Eli MorganKCR11024026.17.563.231.48.28669.1%4.784.78-0.1
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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, and OOPSYPeak use neutral playing time. 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.