2026 Projections






ZiPS:
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  • Steamer:
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  • General Projections
    Steamer:
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  • Overall - No Split
  • vs LHP
  • vs RHP
  • Steamer (RoS):
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  • Overall - No Split
  • vs LHP
  • vs RHP
  • Context Neutral
    Steamer:
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  • Overall - No Split
  • vs LHP
  • vs RHP
  • Steamer (RoS)
    Select
  • Overall - No Split
  • vs LHP
  • vs RHP
  • 600 PA / 200 IP
    3-Year
    Historical Projections
    Members Exclusive Data
    ZiPS:
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  • Steamer:
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  • Splits - Steamer Projections
    Members Exclusive Data
    Steamer:
    Select
  • Overall - No Split
  • vs LHP
  • vs RHP
  • Steamer Ros:
    Select
  • 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]
    #NameTeamGPAABH2B3BHRRRBIBBSOHBPSBCSBB%K%ISOBABIPAVGOBPSLGOPSwOBAwRC+ADPVolSkewDim
    1Corey SeagerTEX123526459125240267176599842111.3%18.6%.226.293.273.360.499.859.36413695.13.000.353.89
    2Wyatt LangfordTEX14361353213328224847472144523511.7%23.4%.198.296.251.343.449.792.34312237.82.720.634.22
    3Brandon NimmoTEX143614542136253217872581359929.4%22.0%.173.294.250.330.423.753.328112145.53.100.034.53
    4Evan CarterTEX10943438290183115445429871849.7%22.6%.151.287.236.321.386.707.311100280.53.87-0.013.84
    5Josh JungTEX124507473117221175560281293415.5%25.5%.157.304.247.293.404.696.30294610.51.27-0.164.60
    6Josh SmithTEX125511448107222105945489810939.3%19.1%.124.284.240.325.363.689.30697428.92.20-0.294.30
    7Danny JansenTEX9033429061130123738367851010.8%23.4%.172.241.210.306.383.688.30495999.01.660.314.24
    8Jake BurgerTEX130532492119221256274281328215.2%24.8%.202.276.241.290.443.734.315103236.71.971.113.95
    9Kyle HigashiokaTEX742722515511110283517671216.2%24.7%.170.257.221.270.391.661.28683999.03.17-0.993.82
    10Joc PedersonTEX10139734278141164849459083111.2%22.6%.190.260.229.329.418.747.326111999.02.610.844.45
    11Ezequiel DuranTEX73267248581315282413643825.1%24.1%.122.294.234.280.356.637.27878999.02.000.303.35
    12Michael HelmanTEX2899911940211106231305.9%23.4%.129.255.211.265.341.606.26669999.02.12-0.352.77
    13Cody FreemanTEX4417015837804181810271215.6%16.0%.127.262.237.282.364.647.28280999.02.52-0.493.07
    14Sam HaggertyTEX61223200479232819185021138.3%22.3%.113.297.237.308.350.658.29186999.02.010.693.00
    15Alejandro OsunaTEX19706215301876151218.9%21.6%.106.295.238.317.344.661.29589999.02.100.112.52
    16Andrew McCutchenTEX49205178408062221244821111.6%23.4%.142.275.226.322.368.690.30696999.03.00-0.393.37
    17Willie MacIverTEX93028610033280006.8%26.2%.079.290.219.278.297.576.25964999.02.140.092.37
    18Jonah BrideTEX1137327201334900011.3%24.2%.104.280.216.309.320.629.28381999.03.26-1.372.39
    19Mark CanhaTEX269986204021099203108.8%20.3%.109.272.227.314.335.649.29186999.02.52-0.042.70
    20Tyler WadeTEX20615512200645150218.4%25.1%.052.292.212.283.264.547.25058999.01.730.342.47
    21Cameron CauleyTEX52120410022160106.5%29.6%.105.296.216.267.321.588.26065999.01.95-1.232.29
    22Justin FoscueTEX124339820155390008.0%20.5%.124.261.218.286.342.628.27878999.02.200.432.47
    #NameTeamGPAABH2B3BHRRRBIBBSOHBPSBCSBB%K%ISOBABIPAVGOBPSLGOPSwOBAwRC+ADPVolSkewDim
    1Corey SeagerTEX123526459125240267176599842111.3%18.6%.226.293.273.360.499.859.36413695.13.000.353.89
    2Wyatt LangfordTEX14361353213328224847472144523511.7%23.4%.198.296.251.343.449.792.34312237.82.720.634.22
    3Brandon NimmoTEX143614542136253217872581359929.4%22.0%.173.294.250.330.423.753.328112145.53.100.034.53
    4Evan CarterTEX10943438290183115445429871849.7%22.6%.151.287.236.321.386.707.311100280.53.87-0.013.84
    5Josh JungTEX124507473117221175560281293415.5%25.5%.157.304.247.293.404.696.30294610.51.27-0.164.60
    6Josh SmithTEX125511448107222105945489810939.3%19.1%.124.284.240.325.363.689.30697428.92.20-0.294.30
    7Danny JansenTEX9033429061130123738367851010.8%23.4%.172.241.210.306.383.688.30495999.01.660.314.24
    8Jake BurgerTEX130532492119221256274281328215.2%24.8%.202.276.241.290.443.734.315103236.71.971.113.95
    9Kyle HigashiokaTEX742722515511110283517671216.2%24.7%.170.257.221.270.391.661.28683999.03.17-0.993.82
    10Joc PedersonTEX10139734278141164849459083111.2%22.6%.190.260.229.329.418.747.326111999.02.610.844.45
    11Ezequiel DuranTEX73267248581315282413643825.1%24.1%.122.294.234.280.356.637.27878999.02.000.303.35
    12Michael HelmanTEX2899911940211106231305.9%23.4%.129.255.211.265.341.606.26669999.02.12-0.352.77
    13Cody FreemanTEX4417015837804181810271215.6%16.0%.127.262.237.282.364.647.28280999.02.52-0.493.07
    14Sam HaggertyTEX61223200479232819185021138.3%22.3%.113.297.237.308.350.658.29186999.02.010.693.00
    15Alejandro OsunaTEX19706215301876151218.9%21.6%.106.295.238.317.344.661.29589999.02.100.112.52
    16Andrew McCutchenTEX49205178408062221244821111.6%23.4%.142.275.226.322.368.690.30696999.03.00-0.393.37
    17Willie MacIverTEX93028610033280006.8%26.2%.079.290.219.278.297.576.25964999.02.140.092.37
    18Jonah BrideTEX1137327201334900011.3%24.2%.104.280.216.309.320.629.28381999.03.26-1.372.39
    19Mark CanhaTEX269986204021099203108.8%20.3%.109.272.227.314.335.649.29186999.02.52-0.042.70
    20Tyler WadeTEX20615512200645150218.4%25.1%.052.292.212.283.264.547.25058999.01.730.342.47
    21Cameron CauleyTEX52120410022160106.5%29.6%.105.296.216.267.321.588.26065999.01.95-1.232.29
    22Justin FoscueTEX124339820155390008.0%20.5%.124.261.218.286.342.628.27878999.02.200.432.47
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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
    • Inter-Projection Standard Deviation (InterSD):The standard deviation of the underlying projections surrounding the ATC average auction value. InterSD describes how much the projections disagree about the value of a player. The larger the InterSD, the more projections differ.
    • Inter-Projection Skewness (InterSK):The skewness of the underlying projections surrounding the ATC average auction value. InterSK describes the symmetry of the underlying projections. A positive InterSK means that a player’s mean is being pulled to the upside; the majority of projections are lower than the ATC average. A negative InterSK means that a player’s mean is being pulled to the downside; the majority of projections are higher than the ATC average.
    • Intra-Projection Standard Deviation (IntraSD):The standard deviation of a player’s categorical Z-Scores. IntraSD is a measure of the dimension of a player’s statistical profile. The smaller the IntraSD, the more balanced the individual player’s category contributions are. The larger the IntraSD, the more unbalanced the player’s category contributions are.