2026 Projections






ZiPS:
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  • 2025
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  • 2021
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  • 2010
  • Steamer:
    Select
  • 2025
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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
  • 2023
  • 2022
  • 2021
  • 2020
  • 2019
  • 2018
  • 2017
  • 2016
  • 2015
  • 2014
  • 2013
  • 2012
  • 2011
  • 2010
  • Steamer:
    Select
  • 2025
  • 2024
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  • 2022
  • 2021
  • 2020
  • 2019
  • 2018
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  • 2016
  • 2015
  • 2014
  • 2013
  • 2012
  • 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
    1Nolan McLeanNYM131103232200.09.593.520.91.29274.8%3.473.643.6
    2Christian ScottNYM131203232200.09.642.971.18.28174.5%3.683.793.5
    3Tylor MegillNYM121203232200.09.163.771.12.28874.0%3.914.082.9
    4Robert StockNYM121203232200.08.203.451.12.28972.7%4.054.222.8
    5Jonah TongNYM121203232200.09.354.311.10.28574.3%3.954.142.6
    6Jonathan SantucciNYM121203232200.08.414.291.01.28974.5%3.894.212.4
    7Sean ManaeaNYM121203232200.08.763.281.29.28573.3%4.114.272.3
    8Zac ThorntonNYM121303232200.07.003.181.21.28672.8%4.204.471.6
    9Jack WenningerNYM111303232200.07.233.921.18.29171.9%4.444.621.5
    10Joander SuarezNYM111303232200.06.803.251.35.28571.7%4.534.731.3
    11Gabe DavisNYM111403232200.07.003.521.35.28871.5%4.634.791.2
    12Gary Gill HillNYM111403232200.05.142.651.28.29270.1%4.654.841.1
    13R.J. GordonNYM111403232200.06.993.711.40.28571.7%4.694.890.9
    14Dakota HawkinsNYM101303232200.06.333.541.34.29071.2%4.724.900.9
    15Will WatsonNYM111403232200.07.064.381.24.28871.7%4.674.910.9
    16Max GreenNYM101303232200.06.393.311.40.28372.1%4.604.920.9
    17Devin WilliamsNYM333465065.011.214.240.86.28476.3%3.253.370.7
    18Daviel HurtadoNYM111403232200.06.234.461.18.28972.2%4.635.010.7
    19Nate LavenderNYM33265065.010.773.860.97.28277.1%3.283.520.6
    20Reed GarrettNYM33065065.010.064.180.95.28875.9%3.523.730.5
    21Dedniel NúñezNYM33165065.09.153.691.09.28374.8%3.743.950.5
    22Justin HagenmanNYM33065065.08.252.201.25.28374.1%3.763.900.5
    23Anderson SeverinoNYM33065065.010.004.280.92.28876.3%3.463.760.5
    24Kodai SengaNYM43765065.09.983.981.04.28875.1%3.683.810.4
    25Luke GabryshNYM101403232200.06.354.671.21.29270.8%4.905.160.4
    26Irving CotaNYM101403232200.05.433.111.46.28770.2%4.955.160.4
    27Jonathan PintaroNYM33065065.09.013.990.99.28874.2%3.774.010.3
    28Brendan GirtonNYM101403232200.06.995.191.23.29071.2%4.965.210.3
    29Brian MetoyerNYM33065065.09.394.650.91.29074.7%3.754.020.3
    30Garrett StrattonNYM33065065.08.743.711.05.28874.1%3.834.030.3
    #NameTeamWLSVGGSIPK/9BB/9HR/9BABIPLOB%GB%ERAFIPWAR
    1Nolan McLeanNYM131103232200.09.593.520.91.29274.8%3.473.643.6
    2Christian ScottNYM131203232200.09.642.971.18.28174.5%3.683.793.5
    3Tylor MegillNYM121203232200.09.163.771.12.28874.0%3.914.082.9
    4Robert StockNYM121203232200.08.203.451.12.28972.7%4.054.222.8
    5Jonah TongNYM121203232200.09.354.311.10.28574.3%3.954.142.6
    6Jonathan SantucciNYM121203232200.08.414.291.01.28974.5%3.894.212.4
    7Sean ManaeaNYM121203232200.08.763.281.29.28573.3%4.114.272.3
    8Zac ThorntonNYM121303232200.07.003.181.21.28672.8%4.204.471.6
    9Jack WenningerNYM111303232200.07.233.921.18.29171.9%4.444.621.5
    10Joander SuarezNYM111303232200.06.803.251.35.28571.7%4.534.731.3
    11Gabe DavisNYM111403232200.07.003.521.35.28871.5%4.634.791.2
    12Gary Gill HillNYM111403232200.05.142.651.28.29270.1%4.654.841.1
    13R.J. GordonNYM111403232200.06.993.711.40.28571.7%4.694.890.9
    14Dakota HawkinsNYM101303232200.06.333.541.34.29071.2%4.724.900.9
    15Will WatsonNYM111403232200.07.064.381.24.28871.7%4.674.910.9
    16Max GreenNYM101303232200.06.393.311.40.28372.1%4.604.920.9
    17Devin WilliamsNYM333465065.011.214.240.86.28476.3%3.253.370.7
    18Daviel HurtadoNYM111403232200.06.234.461.18.28972.2%4.635.010.7
    19Nate LavenderNYM33265065.010.773.860.97.28277.1%3.283.520.6
    20Reed GarrettNYM33065065.010.064.180.95.28875.9%3.523.730.5
    21Dedniel NúñezNYM33165065.09.153.691.09.28374.8%3.743.950.5
    22Justin HagenmanNYM33065065.08.252.201.25.28374.1%3.763.900.5
    23Anderson SeverinoNYM33065065.010.004.280.92.28876.3%3.463.760.5
    24Kodai SengaNYM43765065.09.983.981.04.28875.1%3.683.810.4
    25Luke GabryshNYM101403232200.06.354.671.21.29270.8%4.905.160.4
    26Irving CotaNYM101403232200.05.433.111.46.28770.2%4.955.160.4
    27Jonathan PintaroNYM33065065.09.013.990.99.28874.2%3.774.010.3
    28Brendan GirtonNYM101403232200.06.995.191.23.29071.2%4.965.210.3
    29Brian MetoyerNYM33065065.09.394.650.91.29074.7%3.754.020.3
    30Garrett StrattonNYM33065065.08.743.711.05.28874.1%3.834.030.3
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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