2026 Projections






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

  • 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:
    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:
    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
  • DashboardStandardAdvancedFantasy
    Data Export [Members Only]
    #NameTeamGPAHRRRBISBBB%K%ISOBABIPAVGOBPSLGwOBAwRC+BsROffDefWAR
    1Yordan AlvarezHOU209051514015.1%17.2%.267.314.298.413.565.410167-0.36.7-2.20.8
    2Shohei OhtaniLAD219961714214.2%24.2%.284.307.271.380.555.3931500.16.1-2.50.7
    3Adley RutschmanBOS1670288011.6%15.5%.165.277.254.344.419.336113-0.20.90.90.5
    4Mike TroutLAA188431110115.0%27.4%.197.296.236.359.433.346123-0.22.0-0.50.5
    5Yandy DíazTBR21983131109.7%15.0%.169.309.285.362.455.357129-0.33.0-2.40.4
    6Drake BaldwinATL19874121009.4%19.3%.185.296.266.341.451.346119-0.21.8-0.50.4
    7Roman AnthonyBOS19873129112.9%24.7%.174.330.259.361.434.3511220.12.3-1.60.4
    8Carter JensenKCR17753108110.2%26.2%.188.296.239.319.428.3271060.00.50.40.4
    9Aaron JudgeNYY939266117.9%25.3%.286.319.275.410.561.408166-0.12.9-0.60.4
    10Chase DeLauterCLE1672210919.7%15.3%.172.313.285.356.457.356129-0.12.4-1.50.4
    11Ben RiceNYY188341211111.1%22.8%.237.265.242.335.479.352126-0.12.4-2.00.3
    12Liam HicksTBR1462277010.7%13.1%.137.276.258.350.395.332111-0.20.60.30.3
    13Kyle SchwarberPHI209361413115.6%29.9%.262.262.224.353.486.362126-0.32.6-2.40.3
    14Seiya SuzukiCHC198631211111.6%25.1%.199.310.255.345.454.348122-0.22.0-1.60.3
    15Rafael DeversSFG209041212012.0%24.9%.211.287.244.340.455.344119-0.21.9-1.80.3
    16Colt KeithDET198229918.7%19.4%.159.298.258.327.417.3271080.10.9-0.80.3
    17Dominic CanzoneSEA18783101018.0%22.1%.199.283.251.316.450.332119-0.11.6-1.60.3
    18Iván HerreraSTL19862119110.8%18.5%.145.305.263.360.409.341117-0.11.7-1.60.3
    19Samuel BasalloBAL166638908.3%25.1%.209.271.237.306.446.325110-0.10.60.60.3
    20George SpringerTOR177631010210.1%18.6%.184.285.258.339.442.3421210.11.9-1.90.3
    21Hunter GoodmanCOL18795101316.9%28.5%.249.290.247.304.496.342103-0.10.2-0.20.3
    22Joc PedersonTEX1464398011.7%23.4%.205.267.235.337.440.340120-0.11.4-1.70.2
    23Trevor LarnachMIN1564277110.4%21.0%.157.294.250.332.407.326108-0.10.5-0.90.2
    24Leo BernalSTL114815517.5%21.6%.136.280.236.297.372.295860.0-0.80.70.1
    25Salvador PerezKCR1879391104.6%19.7%.178.274.249.295.427.31296-0.5-0.80.00.1
    26Eduardo ValenciaDET83524506.2%23.3%.190.280.245.298.434.317102-0.10.00.10.1
    27Christian YelichMIL1670298211.1%24.3%.160.311.252.340.412.3301090.20.9-1.90.1
    28Bryce EldridgeSFG208831010010.5%28.3%.179.307.241.324.420.326107-0.20.6-2.10.1
    29Moisés BallesterosLAA177027808.3%19.2%.142.286.249.314.391.31198-0.1-0.2-1.00.1
    30Josh BellMIN177428909.8%19.4%.163.278.247.325.410.324107-0.30.3-1.90.1
    #NameTeamGPAHRRRBISBBB%K%ISOBABIPAVGOBPSLGwOBAwRC+BsROffDefWAR
    1Yordan AlvarezHOU209051514015.1%17.2%.267.314.298.413.565.410167-0.36.7-2.20.8
    2Shohei OhtaniLAD219961714214.2%24.2%.284.307.271.380.555.3931500.16.1-2.50.7
    3Adley RutschmanBOS1670288011.6%15.5%.165.277.254.344.419.336113-0.20.90.90.5
    4Mike TroutLAA188431110115.0%27.4%.197.296.236.359.433.346123-0.22.0-0.50.5
    5Yandy DíazTBR21983131109.7%15.0%.169.309.285.362.455.357129-0.33.0-2.40.4
    6Drake BaldwinATL19874121009.4%19.3%.185.296.266.341.451.346119-0.21.8-0.50.4
    7Roman AnthonyBOS19873129112.9%24.7%.174.330.259.361.434.3511220.12.3-1.60.4
    8Carter JensenKCR17753108110.2%26.2%.188.296.239.319.428.3271060.00.50.40.4
    9Aaron JudgeNYY939266117.9%25.3%.286.319.275.410.561.408166-0.12.9-0.60.4
    10Chase DeLauterCLE1672210919.7%15.3%.172.313.285.356.457.356129-0.12.4-1.50.4
    11Ben RiceNYY188341211111.1%22.8%.237.265.242.335.479.352126-0.12.4-2.00.3
    12Liam HicksTBR1462277010.7%13.1%.137.276.258.350.395.332111-0.20.60.30.3
    13Kyle SchwarberPHI209361413115.6%29.9%.262.262.224.353.486.362126-0.32.6-2.40.3
    14Seiya SuzukiCHC198631211111.6%25.1%.199.310.255.345.454.348122-0.22.0-1.60.3
    15Rafael DeversSFG209041212012.0%24.9%.211.287.244.340.455.344119-0.21.9-1.80.3
    16Colt KeithDET198229918.7%19.4%.159.298.258.327.417.3271080.10.9-0.80.3
    17Dominic CanzoneSEA18783101018.0%22.1%.199.283.251.316.450.332119-0.11.6-1.60.3
    18Iván HerreraSTL19862119110.8%18.5%.145.305.263.360.409.341117-0.11.7-1.60.3
    19Samuel BasalloBAL166638908.3%25.1%.209.271.237.306.446.325110-0.10.60.60.3
    20George SpringerTOR177631010210.1%18.6%.184.285.258.339.442.3421210.11.9-1.90.3
    21Hunter GoodmanCOL18795101316.9%28.5%.249.290.247.304.496.342103-0.10.2-0.20.3
    22Joc PedersonTEX1464398011.7%23.4%.205.267.235.337.440.340120-0.11.4-1.70.2
    23Trevor LarnachMIN1564277110.4%21.0%.157.294.250.332.407.326108-0.10.5-0.90.2
    24Leo BernalSTL114815517.5%21.6%.136.280.236.297.372.295860.0-0.80.70.1
    25Salvador PerezKCR1879391104.6%19.7%.178.274.249.295.427.31296-0.5-0.80.00.1
    26Eduardo ValenciaDET83524506.2%23.3%.190.280.245.298.434.317102-0.10.00.10.1
    27Christian YelichMIL1670298211.1%24.3%.160.311.252.340.412.3301090.20.9-1.90.1
    28Bryce EldridgeSFG208831010010.5%28.3%.179.307.241.324.420.326107-0.20.6-2.10.1
    29Moisés BallesterosLAA177027808.3%19.2%.142.286.249.314.391.31198-0.1-0.2-1.00.1
    30Josh BellMIN177428909.8%19.4%.163.278.247.325.410.324107-0.30.3-1.90.1
    of 5
    Page Size:
    1 - 30 of 146 results
    of 5
    Page Size:
    1 - 30 of 146 results
    • 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