2026 Projections






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
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  • 2019
  • 2018
  • 2017
  • 2016
  • 2015
  • 2014
  • 2013
  • 2012

  • General Projections
    Steamer:
    Overall - No Split
  • 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
    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
  • 2023
  • 2022
  • 2021
  • 2020
  • 2019
  • 2018
  • 2017
  • 2016
  • 2015
  • 2014
  • 2013
  • 2012
  • Splits - Steamer Projections
    Members Exclusive Data
    Steamer:
    Overall - No Split
  • 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 SkubalDET14903232199.210.951.960.91.28877.2%42.4%2.792.785.9
    2Paul SkenesPIT13903232194.010.992.390.82.29875.9%44.4%2.922.785.7
    3Garrett CrochetBOS14903232193.011.142.330.91.30075.8%45.5%3.022.845.6
    4Cristopher SánchezPHI14903232198.08.702.300.80.30274.8%54.5%3.153.224.7
    5Chris SaleATL12802828168.210.982.360.97.29775.0%41.7%3.193.044.2
    6Logan WebbSFG131003232199.18.462.130.75.30973.1%54.7%3.323.154.1
    7Cole RagansKCR12902929172.011.023.260.99.29376.0%39.8%3.313.304.1
    8Jacob deGromTEX11902929174.210.442.051.22.29074.5%37.9%3.523.344.0
    9Sonny GrayBOS121003131181.19.412.381.05.30572.9%45.1%3.693.443.9
    10Dylan CeaseTOR12903131177.210.573.291.07.28875.1%38.1%3.543.523.8
    11Framber ValdezDET121003131190.18.332.930.73.30873.3%55.5%3.433.443.7
    12Zack WheelerPHI11702626154.210.332.271.04.28875.6%41.5%3.203.223.7
    13Max FriedNYY13903131189.18.542.580.89.29675.3%50.5%3.283.503.7
    14Hunter BrownHOU121003131184.19.792.971.02.29973.7%47.3%3.633.543.6
    15Jesús LuzardoPHI121003131181.09.842.851.16.28975.4%40.4%3.573.673.5
    16Yoshinobu YamamotoLAD11702626154.19.482.750.98.30074.5%49.2%3.453.463.4
    17Nathan EovaldiTEX11902929174.28.852.301.06.30073.2%46.0%3.653.583.4
    18Joe RyanMIN111002929172.29.862.181.30.28973.3%33.6%3.813.693.3
    19Bryan WooSEA121003232195.09.022.041.20.28474.0%39.5%3.603.663.3
    20Ranger SuarezBOS111002929171.28.042.590.96.30672.9%49.0%3.743.693.3
    21Drew RasmussenTBR111003131171.08.472.371.03.29972.6%45.7%3.723.633.2
    22Shane McClanahanTBR9802424142.19.992.641.03.29475.4%44.5%3.353.373.2
    23Logan GilbertSEA11902929166.19.822.101.13.28774.8%39.8%3.403.393.2
    24George KirbySEA121003131178.18.771.711.11.29073.5%42.3%3.513.493.2
    25Brandon WoodruffMIL101002828167.29.452.461.31.28673.7%36.4%3.863.873.1
    26Kyle BradishBAL10902828154.09.502.821.08.30273.7%45.2%3.723.653.0
    27José SorianoLAA111103131177.18.373.830.75.31273.5%57.2%3.683.793.0
    28Aaron NolaPHI111003131180.28.712.331.32.29373.3%42.3%3.983.983.0
    29Kevin GausmanTOR111003131185.18.802.651.22.29172.8%37.9%3.983.902.9
    30Michael KingSDP101002929166.29.353.121.18.28974.3%40.2%3.803.922.9
    #NameTeamWLSVGGSIPK/9BB/9HR/9BABIPLOB%GB%ERAFIPWAR
    1Tarik SkubalDET14903232199.210.951.960.91.28877.2%42.4%2.792.785.9
    2Paul SkenesPIT13903232194.010.992.390.82.29875.9%44.4%2.922.785.7
    3Garrett CrochetBOS14903232193.011.142.330.91.30075.8%45.5%3.022.845.6
    4Cristopher SánchezPHI14903232198.08.702.300.80.30274.8%54.5%3.153.224.7
    5Chris SaleATL12802828168.210.982.360.97.29775.0%41.7%3.193.044.2
    6Logan WebbSFG131003232199.18.462.130.75.30973.1%54.7%3.323.154.1
    7Cole RagansKCR12902929172.011.023.260.99.29376.0%39.8%3.313.304.1
    8Jacob deGromTEX11902929174.210.442.051.22.29074.5%37.9%3.523.344.0
    9Sonny GrayBOS121003131181.19.412.381.05.30572.9%45.1%3.693.443.9
    10Dylan CeaseTOR12903131177.210.573.291.07.28875.1%38.1%3.543.523.8
    11Framber ValdezDET121003131190.18.332.930.73.30873.3%55.5%3.433.443.7
    12Zack WheelerPHI11702626154.210.332.271.04.28875.6%41.5%3.203.223.7
    13Max FriedNYY13903131189.18.542.580.89.29675.3%50.5%3.283.503.7
    14Hunter BrownHOU121003131184.19.792.971.02.29973.7%47.3%3.633.543.6
    15Jesús LuzardoPHI121003131181.09.842.851.16.28975.4%40.4%3.573.673.5
    16Yoshinobu YamamotoLAD11702626154.19.482.750.98.30074.5%49.2%3.453.463.4
    17Nathan EovaldiTEX11902929174.28.852.301.06.30073.2%46.0%3.653.583.4
    18Joe RyanMIN111002929172.29.862.181.30.28973.3%33.6%3.813.693.3
    19Bryan WooSEA121003232195.09.022.041.20.28474.0%39.5%3.603.663.3
    20Ranger SuarezBOS111002929171.28.042.590.96.30672.9%49.0%3.743.693.3
    21Drew RasmussenTBR111003131171.08.472.371.03.29972.6%45.7%3.723.633.2
    22Shane McClanahanTBR9802424142.19.992.641.03.29475.4%44.5%3.353.373.2
    23Logan GilbertSEA11902929166.19.822.101.13.28774.8%39.8%3.403.393.2
    24George KirbySEA121003131178.18.771.711.11.29073.5%42.3%3.513.493.2
    25Brandon WoodruffMIL101002828167.29.452.461.31.28673.7%36.4%3.863.873.1
    26Kyle BradishBAL10902828154.09.502.821.08.30273.7%45.2%3.723.653.0
    27José SorianoLAA111103131177.18.373.830.75.31273.5%57.2%3.683.793.0
    28Aaron NolaPHI111003131180.28.712.331.32.29373.3%42.3%3.983.983.0
    29Kevin GausmanTOR111003131185.18.802.651.22.29172.8%37.9%3.983.902.9
    30Michael KingSDP101002929166.29.353.121.18.28974.3%40.2%3.803.922.9
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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