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
  • 600 PA / 200 IP
    3-Year
    Historical Projections
    Members Exclusive Data
    ZiPS:
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  • 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]
    #NameTeamK/9BB/9K/BBHR/9K%BB%K-BB%AVGWHIPBABIPLOB%FIP
    1Tarik SkubalDET11.011.796.160.8531.0%5.0%26.0%.2110.98.28777.5%2.61
    2Garrett CrochetBOS11.112.354.730.8930.5%6.5%24.1%.2191.08.29977.4%2.82
    3Paul SkenesPIT10.632.374.480.8129.3%6.5%22.8%.2161.07.29176.4%2.84
    4Cristopher SánchezPHI8.752.213.970.8023.7%6.0%17.8%.2391.16.29874.5%3.18
    5Logan WebbSFG8.511.994.280.7122.9%5.4%17.6%.2431.16.30373.5%3.02
    6Cole RagansKCR11.073.193.470.9629.7%8.6%21.1%.2171.17.29374.0%3.22
    7Chris SaleATL10.812.384.550.9529.3%6.4%22.9%.2231.11.29975.3%3.08
    8Hunter BrownHOU9.752.973.280.9226.1%8.0%18.2%.2261.18.29074.9%3.39
    9Max FriedNYY8.352.573.250.8422.4%6.9%15.5%.2351.18.28873.8%3.46
    10Jacob deGromTEX10.062.114.771.2327.7%5.8%21.9%.2251.08.28374.2%3.45
    11Dylan CeaseTOR10.533.363.131.0527.9%8.9%19.0%.2201.21.28774.7%3.52
    12Bryan WooSEA9.111.944.691.1325.1%5.3%19.7%.2281.08.27973.2%3.52
    13Yoshinobu YamamotoLAD9.592.523.810.9726.4%6.9%19.4%.2241.11.28472.9%3.34
    14Sonny GrayBOS9.332.433.851.0824.7%6.4%18.3%.2451.22.30573.4%3.53
    15Framber ValdezDET8.123.002.700.7621.5%8.0%13.6%.2421.26.29772.5%3.56
    16Jesús LuzardoPHI9.952.803.561.1726.6%7.5%19.1%.2311.19.29273.4%3.63
    17Zack WheelerPHI9.812.364.151.0126.8%6.5%20.4%.2251.11.28774.4%3.33
    18Ranger SuarezBOS7.922.623.020.8820.8%6.9%13.9%.2521.28.30373.4%3.62
    19George KirbySEA8.801.715.151.0823.8%4.6%19.2%.2391.12.29072.4%3.42
    20Joe RyanMIN9.822.144.591.2926.6%5.8%20.8%.2311.12.28772.6%3.68
    21Shane McClanahanTBR9.732.533.851.0426.5%6.9%19.6%.2281.14.29075.7%3.38
    22Aaron NolaPHI8.852.253.931.3023.6%6.0%17.6%.2461.21.29471.5%3.89
    23Kevin GausmanTOR8.792.603.381.1923.3%6.9%16.4%.2421.23.29173.2%3.83
    24Logan GilbertSEA9.782.174.511.1526.8%5.9%20.9%.2251.09.28274.7%3.45
    25Kyle BradishBAL9.432.853.310.9925.1%7.6%17.5%.2351.21.29673.4%3.56
    26Brandon WoodruffMIL9.552.433.931.2625.7%6.6%19.2%.2311.15.28473.4%3.77
    27José SorianoLAA8.423.912.150.7321.7%10.1%11.6%.2421.36.30171.4%3.80
    28Nathan EovaldiTEX8.472.383.561.1222.8%6.4%16.4%.2411.19.28972.2%3.79
    29MacKenzie GoreTEX10.163.402.991.0726.6%8.9%17.7%.2281.25.29372.2%3.70
    30Drew RasmussenTBR8.062.333.461.0421.8%6.3%15.5%.2431.18.28972.7%3.72
    #NameTeamK/9BB/9K/BBHR/9K%BB%K-BB%AVGWHIPBABIPLOB%FIP
    1Tarik SkubalDET11.011.796.160.8531.0%5.0%26.0%.2110.98.28777.5%2.61
    2Garrett CrochetBOS11.112.354.730.8930.5%6.5%24.1%.2191.08.29977.4%2.82
    3Paul SkenesPIT10.632.374.480.8129.3%6.5%22.8%.2161.07.29176.4%2.84
    4Cristopher SánchezPHI8.752.213.970.8023.7%6.0%17.8%.2391.16.29874.5%3.18
    5Logan WebbSFG8.511.994.280.7122.9%5.4%17.6%.2431.16.30373.5%3.02
    6Cole RagansKCR11.073.193.470.9629.7%8.6%21.1%.2171.17.29374.0%3.22
    7Chris SaleATL10.812.384.550.9529.3%6.4%22.9%.2231.11.29975.3%3.08
    8Hunter BrownHOU9.752.973.280.9226.1%8.0%18.2%.2261.18.29074.9%3.39
    9Max FriedNYY8.352.573.250.8422.4%6.9%15.5%.2351.18.28873.8%3.46
    10Jacob deGromTEX10.062.114.771.2327.7%5.8%21.9%.2251.08.28374.2%3.45
    11Dylan CeaseTOR10.533.363.131.0527.9%8.9%19.0%.2201.21.28774.7%3.52
    12Bryan WooSEA9.111.944.691.1325.1%5.3%19.7%.2281.08.27973.2%3.52
    13Yoshinobu YamamotoLAD9.592.523.810.9726.4%6.9%19.4%.2241.11.28472.9%3.34
    14Sonny GrayBOS9.332.433.851.0824.7%6.4%18.3%.2451.22.30573.4%3.53
    15Framber ValdezDET8.123.002.700.7621.5%8.0%13.6%.2421.26.29772.5%3.56
    16Jesús LuzardoPHI9.952.803.561.1726.6%7.5%19.1%.2311.19.29273.4%3.63
    17Zack WheelerPHI9.812.364.151.0126.8%6.5%20.4%.2251.11.28774.4%3.33
    18Ranger SuarezBOS7.922.623.020.8820.8%6.9%13.9%.2521.28.30373.4%3.62
    19George KirbySEA8.801.715.151.0823.8%4.6%19.2%.2391.12.29072.4%3.42
    20Joe RyanMIN9.822.144.591.2926.6%5.8%20.8%.2311.12.28772.6%3.68
    21Shane McClanahanTBR9.732.533.851.0426.5%6.9%19.6%.2281.14.29075.7%3.38
    22Aaron NolaPHI8.852.253.931.3023.6%6.0%17.6%.2461.21.29471.5%3.89
    23Kevin GausmanTOR8.792.603.381.1923.3%6.9%16.4%.2421.23.29173.2%3.83
    24Logan GilbertSEA9.782.174.511.1526.8%5.9%20.9%.2251.09.28274.7%3.45
    25Kyle BradishBAL9.432.853.310.9925.1%7.6%17.5%.2351.21.29673.4%3.56
    26Brandon WoodruffMIL9.552.433.931.2625.7%6.6%19.2%.2311.15.28473.4%3.77
    27José SorianoLAA8.423.912.150.7321.7%10.1%11.6%.2421.36.30171.4%3.80
    28Nathan EovaldiTEX8.472.383.561.1222.8%6.4%16.4%.2411.19.28972.2%3.79
    29MacKenzie GoreTEX10.163.402.991.0726.6%8.9%17.7%.2281.25.29372.2%3.70
    30Drew RasmussenTBR8.062.333.461.0421.8%6.3%15.5%.2431.18.28972.7%3.72
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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