2026 Projections






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  • Steamer:
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  • General Projections
    Steamer:
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  • Overall - No Split
  • vs LHP
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  • Steamer (RoS):
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  • Overall - No Split
  • vs LHP
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  • Context Neutral
    Steamer:
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  • Overall - No Split
  • vs LHP
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  • Steamer (RoS)
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  • Overall - No Split
  • vs LHP
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  • 600 PA / 200 IP
    3-Year
    Historical Projections
    Members Exclusive Data
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  • Steamer:
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  • Splits - Steamer Projections
    Members Exclusive Data
    Steamer:
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  • Overall - No Split
  • vs LHP
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  • Steamer Ros:
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  • Overall - No Split
  • vs LHP
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  • Steamer
    (Context Neutral):
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  • Overall - No Split
  • vs LHP
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  • Steamer RoS
    (Context Neutral):
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  • Overall - No Split
  • vs LHP
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  • Data Export [Members Only]
    #NameTeamGPAHRRRBISBBB%K%ISOBABIPAVGOBPSLGwOBAwRC+BsROffDefWAR
    1Xavier EdwardsMIA13357246844278.3%14.4%.079.323.278.339.357.308952.1-1.04.32.3
    2Kyle StowersMIA13054324657849.9%28.3%.208.304.243.326.451.335114-0.48.4-4.82.2
    3Otto LopezMIA136563126361166.8%15.3%.127.296.265.318.392.309960.6-2.04.52.2
    4Jakob MarseeMIA1315641270553311.0%21.9%.138.291.237.330.375.313992.41.41.12.2
    5Agustín RamírezMIA124519186265137.2%19.7%.176.272.244.305.420.31399-0.2-0.8-7.01.0
    6Connor NorbyMIA11645413535086.8%27.1%.155.309.242.299.398.30392-0.4-4.9-1.00.9
    7Joe MackMIA602307252527.5%28.1%.147.277.217.283.364.28378-0.1-6.06.70.9
    8Javier SanojaMIA642354262455.9%11.3%.127.278.259.304.386.30089-0.1-3.01.10.6
    9Graham PauleyMIA853208343358.5%21.4%.143.261.222.295.365.29083-0.2-6.70.70.5
    10Owen CaissieMIA11442312484659.2%30.8%.157.316.231.306.388.30392-0.3-4.3-5.40.4
    11Liam HicksMIA7930643029210.4%15.8%.099.276.240.333.339.30392-0.5-3.6-3.30.3
    12Christopher MorelMIA9134713414269.1%30.1%.183.285.221.299.404.306940.1-2.3-6.00.3
    13Leo JiménezMIA361243141217.4%22.9%.127.281.230.309.357.29689-0.2-1.90.20.3
    14Esteury RuizMIA3611321510107.7%24.0%.131.294.233.307.364.296870.7-1.0-0.30.3
    15Austin SlaterMIA391403171429.8%28.8%.132.312.231.314.362.30091-0.1-1.6-1.60.2
    16Jared SernaMIA82903307.0%18.6%.085.272.226.283.311.264650.0-1.20.90.1
    17Maximo AcostaMIA238329837.1%24.9%.117.289.228.289.345.280760.1-2.2-0.10.0
    18Heriberto HernándezMIA8232911383939.7%29.3%.163.295.225.307.388.30493-0.5-3.4-7.60.0
    19Daniel JohnsonMIA92112215.5%24.4%.133.261.214.262.347.266670.0-0.8-0.20.0
    20Griffin ConineMIA8434410374019.0%31.7%.150.297.217.293.367.29183-0.7-7.4-5.6-0.2
    21Deyvison De Los SantosMIA218238915.3%25.6%.143.285.233.278.377.283780.0-2.2-4.1-0.4
    #NameTeamGPAHRRRBISBBB%K%ISOBABIPAVGOBPSLGwOBAwRC+BsROffDefWAR
    1Xavier EdwardsMIA13357246844278.3%14.4%.079.323.278.339.357.308952.1-1.04.32.3
    2Kyle StowersMIA13054324657849.9%28.3%.208.304.243.326.451.335114-0.48.4-4.82.2
    3Otto LopezMIA136563126361166.8%15.3%.127.296.265.318.392.309960.6-2.04.52.2
    4Jakob MarseeMIA1315641270553311.0%21.9%.138.291.237.330.375.313992.41.41.12.2
    5Agustín RamírezMIA124519186265137.2%19.7%.176.272.244.305.420.31399-0.2-0.8-7.01.0
    6Connor NorbyMIA11645413535086.8%27.1%.155.309.242.299.398.30392-0.4-4.9-1.00.9
    7Joe MackMIA602307252527.5%28.1%.147.277.217.283.364.28378-0.1-6.06.70.9
    8Javier SanojaMIA642354262455.9%11.3%.127.278.259.304.386.30089-0.1-3.01.10.6
    9Graham PauleyMIA853208343358.5%21.4%.143.261.222.295.365.29083-0.2-6.70.70.5
    10Owen CaissieMIA11442312484659.2%30.8%.157.316.231.306.388.30392-0.3-4.3-5.40.4
    11Liam HicksMIA7930643029210.4%15.8%.099.276.240.333.339.30392-0.5-3.6-3.30.3
    12Christopher MorelMIA9134713414269.1%30.1%.183.285.221.299.404.306940.1-2.3-6.00.3
    13Leo JiménezMIA361243141217.4%22.9%.127.281.230.309.357.29689-0.2-1.90.20.3
    14Esteury RuizMIA3611321510107.7%24.0%.131.294.233.307.364.296870.7-1.0-0.30.3
    15Austin SlaterMIA391403171429.8%28.8%.132.312.231.314.362.30091-0.1-1.6-1.60.2
    16Jared SernaMIA82903307.0%18.6%.085.272.226.283.311.264650.0-1.20.90.1
    17Maximo AcostaMIA238329837.1%24.9%.117.289.228.289.345.280760.1-2.2-0.10.0
    18Heriberto HernándezMIA8232911383939.7%29.3%.163.295.225.307.388.30493-0.5-3.4-7.60.0
    19Daniel JohnsonMIA92112215.5%24.4%.133.261.214.262.347.266670.0-0.8-0.20.0
    20Griffin ConineMIA8434410374019.0%31.7%.150.297.217.293.367.29183-0.7-7.4-5.6-0.2
    21Deyvison De Los SantosMIA218238915.3%25.6%.143.285.233.278.377.283780.0-2.2-4.1-0.4
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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.