2026 Projections






ZiPS:
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  • Steamer:
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  • General Projections
    Steamer:
    Select
  • Overall - No Split
  • vs LHP
  • vs RHP
  • Steamer (RoS):
    Overall - No Split
  • Overall - No Split
  • vs LHP
  • vs RHP
  • Context Neutral
    Steamer:
    Select
  • Overall - No Split
  • vs LHP
  • vs RHP
  • Steamer (RoS)
    Select
  • Overall - No Split
  • vs LHP
  • vs RHP
  • 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
  • vs LHP
  • vs RHP
  • Steamer Ros:
    Overall - No Split
  • Overall - No Split
  • vs LHP
  • vs RHP
  • Steamer
    (Context Neutral):
    Select
  • Overall - No Split
  • vs LHP
  • vs RHP
  • Steamer RoS
    (Context Neutral):
    Select
  • Overall - No Split
  • vs LHP
  • vs RHP
  • Data Export [Members Only]
    #NameTeamGPAHRRRBISBBB%K%ISOBABIPAVGOBPSLGwOBAwRC+BsROffDefWAR
    1Wyatt LangfordTEX4118472522610.9%22.7%.195.292.250.338.445.3421210.34.9-1.51.0
    2Riley GreeneDET4218072325110.4%26.7%.196.327.261.341.456.346123-0.24.6-2.10.9
    3Steven KwanCLE4017622215410.6%9.8%.105.294.274.355.379.3281110.32.6-0.40.9
    4Tyler SoderstromATH4117682325110.2%20.9%.216.283.255.336.471.348121-0.24.2-2.30.8
    5Jackson ChourioMIL411878262457.4%21.8%.201.302.264.322.465.3391140.53.7-1.60.8
    6Brandon NimmoTEX411786222229.6%21.9%.171.301.255.336.426.335116-0.13.2-2.30.7
    7Sam AntonacciCHW391743221578.7%16.4%.126.305.265.353.391.3321130.42.9-2.10.7
    8Randy ArozarenaSEA4017862221610.2%24.2%.170.299.244.343.414.336122-0.14.5-3.80.7
    9James WoodWSN3013762016414.2%28.5%.224.326.255.365.479.3641300.25.2-2.60.7
    10Taylor WardSEA3917862319212.8%23.7%.166.281.232.337.399.327116-0.52.8-2.60.7
    11Cody BellingerNYY231004121329.6%15.6%.183.275.259.333.442.3381180.12.2-0.70.5
    12JJ BledayCIN4117982223212.3%22.7%.207.258.230.327.436.333105-0.20.8-1.80.5
    13Dylan BeaversBAL3012831513411.6%22.4%.148.298.245.336.393.3241090.11.4-1.50.5
    14Colton CowserBAL3112441414310.6%30.5%.167.295.223.313.390.3111000.20.2-0.20.5
    15Jarren DuranBOS381634191768.0%25.3%.171.300.239.308.410.313960.90.1-1.60.4
    16Ian HappCHC4017362120212.9%26.8%.177.287.228.333.405.326107-0.21.1-2.50.4
    17Bryan ReynoldsPIT4017652121210.5%24.2%.164.312.252.338.416.332107-0.11.3-3.10.4
    18Trevor LarnachMIN2812441613110.7%21.5%.162.295.250.335.412.329110-0.11.3-1.90.4
    19Jesús SánchezTOR291204141528.2%23.0%.177.297.251.318.428.325109-0.11.2-1.60.4
    20Heliot RamosNYY341496181817.6%25.6%.175.304.248.314.423.322107-0.11.1-2.60.4
    21Isaac CollinsKCR3413731513411.7%21.6%.139.301.243.340.382.3231040.00.6-1.70.4
    22Chandler SimpsonTBR3113301412115.3%10.2%.070.317.287.326.357.303921.1-0.2-1.20.3
    23Daylen LileWSN381614181946.2%18.2%.162.296.260.312.422.3201000.30.4-2.40.3
    24Brandon MarshPHI331344151638.9%26.9%.153.334.257.326.410.3221000.20.2-1.40.3
    25Teoscar HernándezLAD401617202217.2%26.5%.198.301.250.310.449.328107-0.31.0-3.10.3
    26Lars NootbaarARI2912331513113.3%20.1%.154.294.249.352.403.3341090.01.3-2.30.3
    27Jake McCarthyCOL341514201576.1%16.8%.150.310.273.327.423.328930.8-0.5-1.50.3
    28Kyle StowersMIA361607202019.3%29.6%.203.302.236.316.438.3281040.00.8-3.10.3
    29Wade MecklerLAA301312141129.7%21.6%.102.324.258.333.360.310960.0-0.6-1.40.3
    30Mauricio DubónATL391623171725.7%12.9%.120.285.262.307.382.30389-0.1-2.3-0.30.3
    #NameTeamGPAHRRRBISBBB%K%ISOBABIPAVGOBPSLGwOBAwRC+BsROffDefWAR
    1Wyatt LangfordTEX4118472522610.9%22.7%.195.292.250.338.445.3421210.34.9-1.51.0
    2Riley GreeneDET4218072325110.4%26.7%.196.327.261.341.456.346123-0.24.6-2.10.9
    3Steven KwanCLE4017622215410.6%9.8%.105.294.274.355.379.3281110.32.6-0.40.9
    4Tyler SoderstromATH4117682325110.2%20.9%.216.283.255.336.471.348121-0.24.2-2.30.8
    5Jackson ChourioMIL411878262457.4%21.8%.201.302.264.322.465.3391140.53.7-1.60.8
    6Brandon NimmoTEX411786222229.6%21.9%.171.301.255.336.426.335116-0.13.2-2.30.7
    7Sam AntonacciCHW391743221578.7%16.4%.126.305.265.353.391.3321130.42.9-2.10.7
    8Randy ArozarenaSEA4017862221610.2%24.2%.170.299.244.343.414.336122-0.14.5-3.80.7
    9James WoodWSN3013762016414.2%28.5%.224.326.255.365.479.3641300.25.2-2.60.7
    10Taylor WardSEA3917862319212.8%23.7%.166.281.232.337.399.327116-0.52.8-2.60.7
    11Cody BellingerNYY231004121329.6%15.6%.183.275.259.333.442.3381180.12.2-0.70.5
    12JJ BledayCIN4117982223212.3%22.7%.207.258.230.327.436.333105-0.20.8-1.80.5
    13Dylan BeaversBAL3012831513411.6%22.4%.148.298.245.336.393.3241090.11.4-1.50.5
    14Colton CowserBAL3112441414310.6%30.5%.167.295.223.313.390.3111000.20.2-0.20.5
    15Jarren DuranBOS381634191768.0%25.3%.171.300.239.308.410.313960.90.1-1.60.4
    16Ian HappCHC4017362120212.9%26.8%.177.287.228.333.405.326107-0.21.1-2.50.4
    17Bryan ReynoldsPIT4017652121210.5%24.2%.164.312.252.338.416.332107-0.11.3-3.10.4
    18Trevor LarnachMIN2812441613110.7%21.5%.162.295.250.335.412.329110-0.11.3-1.90.4
    19Jesús SánchezTOR291204141528.2%23.0%.177.297.251.318.428.325109-0.11.2-1.60.4
    20Heliot RamosNYY341496181817.6%25.6%.175.304.248.314.423.322107-0.11.1-2.60.4
    21Isaac CollinsKCR3413731513411.7%21.6%.139.301.243.340.382.3231040.00.6-1.70.4
    22Chandler SimpsonTBR3113301412115.3%10.2%.070.317.287.326.357.303921.1-0.2-1.20.3
    23Daylen LileWSN381614181946.2%18.2%.162.296.260.312.422.3201000.30.4-2.40.3
    24Brandon MarshPHI331344151638.9%26.9%.153.334.257.326.410.3221000.20.2-1.40.3
    25Teoscar HernándezLAD401617202217.2%26.5%.198.301.250.310.449.328107-0.31.0-3.10.3
    26Lars NootbaarARI2912331513113.3%20.1%.154.294.249.352.403.3341090.01.3-2.30.3
    27Jake McCarthyCOL341514201576.1%16.8%.150.310.273.327.423.328930.8-0.5-1.50.3
    28Kyle StowersMIA361607202019.3%29.6%.203.302.236.316.438.3281040.00.8-3.10.3
    29Wade MecklerLAA301312141129.7%21.6%.102.324.258.333.360.310960.0-0.6-1.40.3
    30Mauricio DubónATL391623171725.7%12.9%.120.285.262.307.382.30389-0.1-2.3-0.30.3
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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