2025 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
  • 600 PA / 200 IP
    3-Year
    Historical Projections
    New! Members Exclusive Data
    ZiPS:
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  • 2024
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  • 2010
  • Steamer:
    Select
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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
    1Tarik SkubalDET14702929183.110.461.920.85.28575.2%2.882.825.2
    2Jack FlahertyDET10902727157.09.662.831.15.29572.8%3.813.782.4
    3Reese OlsonDET8802626140.28.362.870.99.29070.5%3.923.812.2
    4Casey MizeDET6702323121.07.112.521.11.29970.1%4.244.171.4
    5Alex CobbDET550151585.17.392.500.89.29971.1%3.853.741.3
    6Brant HurterDET43038253.07.682.200.75.29869.4%3.713.420.7
    7Tyler HoltonDET32858166.17.832.170.92.27073.4%3.293.590.6
    8Will VestDET33261062.28.782.770.79.29873.4%3.423.410.6
    9Jackson JobeDET6602620108.17.343.271.27.27569.0%4.474.580.5
    10Jason FoleyDET331257056.17.182.620.75.29872.1%3.633.640.3
    11Beau BrieskeDET341054264.28.543.431.02.28872.3%3.903.990.3
    12Brenan HanifeeDET22041046.27.212.550.89.30072.3%3.793.820.3
    13Sawyer Gipson-LongDET22022335.08.452.581.15.29271.0%4.013.950.3
    14Keider MonteroDET22015541.27.623.181.32.29070.3%4.514.590.2
    15Matt ManningDET22021439.07.433.001.15.28371.1%4.134.270.2
    16Sean GuentherDET22034037.07.202.570.89.29671.6%3.813.850.1
    17Alex LangeDET22131031.19.944.880.79.29172.8%3.833.940.1
    18Tommy KahnleDET12346046.09.223.840.98.27475.2%3.513.970.1
    19Ty MaddenDET11022026.08.633.441.14.29371.3%4.174.170.1
    20Chase LeeDET11015015.28.533.060.93.29472.7%3.723.790.1
    21Carlos HernándezDET13039043.08.894.031.11.29469.8%4.434.270.1
    22Matt GageDET11010012.28.913.910.92.28869.8%4.113.950.0
    23José UrquidyDET1102212.16.672.591.54.27369.1%4.634.880.0
    24Ryan MillerDET11015018.27.712.681.27.28568.3%4.424.320.0
    25Tyler MattisonDET11016016.08.893.901.10.29371.3%4.224.220.0
    26Tyler OwensDET11015016.17.242.841.18.30869.9%4.514.370.0
    27Dietrich EnnsDET10012012.28.373.781.23.29370.3%4.504.450.0
    28Bailey HornDET11011011.28.134.721.12.29271.5%4.524.640.0
    #NameTeamWLSVGGSIPK/9BB/9HR/9BABIPLOB%GB%ERAFIPWAR
    1Tarik SkubalDET14702929183.110.461.920.85.28575.2%2.882.825.2
    2Jack FlahertyDET10902727157.09.662.831.15.29572.8%3.813.782.4
    3Reese OlsonDET8802626140.28.362.870.99.29070.5%3.923.812.2
    4Casey MizeDET6702323121.07.112.521.11.29970.1%4.244.171.4
    5Alex CobbDET550151585.17.392.500.89.29971.1%3.853.741.3
    6Brant HurterDET43038253.07.682.200.75.29869.4%3.713.420.7
    7Tyler HoltonDET32858166.17.832.170.92.27073.4%3.293.590.6
    8Will VestDET33261062.28.782.770.79.29873.4%3.423.410.6
    9Jackson JobeDET6602620108.17.343.271.27.27569.0%4.474.580.5
    10Jason FoleyDET331257056.17.182.620.75.29872.1%3.633.640.3
    11Beau BrieskeDET341054264.28.543.431.02.28872.3%3.903.990.3
    12Brenan HanifeeDET22041046.27.212.550.89.30072.3%3.793.820.3
    13Sawyer Gipson-LongDET22022335.08.452.581.15.29271.0%4.013.950.3
    14Keider MonteroDET22015541.27.623.181.32.29070.3%4.514.590.2
    15Matt ManningDET22021439.07.433.001.15.28371.1%4.134.270.2
    16Sean GuentherDET22034037.07.202.570.89.29671.6%3.813.850.1
    17Alex LangeDET22131031.19.944.880.79.29172.8%3.833.940.1
    18Tommy KahnleDET12346046.09.223.840.98.27475.2%3.513.970.1
    19Ty MaddenDET11022026.08.633.441.14.29371.3%4.174.170.1
    20Chase LeeDET11015015.28.533.060.93.29472.7%3.723.790.1
    21Carlos HernándezDET13039043.08.894.031.11.29469.8%4.434.270.1
    22Matt GageDET11010012.28.913.910.92.28869.8%4.113.950.0
    23José UrquidyDET1102212.16.672.591.54.27369.1%4.634.880.0
    24Ryan MillerDET11015018.27.712.681.27.28568.3%4.424.320.0
    25Tyler MattisonDET11016016.08.893.901.10.29371.3%4.224.220.0
    26Tyler OwensDET11015016.17.242.841.18.30869.9%4.514.370.0
    27Dietrich EnnsDET10012012.28.373.781.23.29370.3%4.504.450.0
    28Bailey HornDET11011011.28.134.721.12.29271.5%4.524.640.0
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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.