2025 Projections






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  • General Projections
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  • Steamer (RoS):
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  • Context Neutral
    Steamer:
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  • Overall - No Split
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  • Overall - No Split
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  • 600 PA / 200 IP
    3-Year
    Historical Projections
    New! Members Exclusive Data
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  • Splits - Steamer Projections
    New! Members Exclusive Data
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  • Overall - No Split
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  • Steamer Ros:
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  • Overall - No Split
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  • Steamer
    (Context Neutral):
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  • Overall - No Split
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  • Steamer RoS
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  • Overall - No Split
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  • Data Export [Members Only]
    #NameTeamGPAHRRRBISBBB%K%ISOBABIPAVGOBPSLGwOBAwRC+BsROffDefWAR
    1Riley GreeneDET142610228073610.2%25.6%.192.332.265.345.457.346129-0.519.5-3.63.7
    2Gleyber TorresDET14562216746579.5%18.2%.141.292.256.329.397.318109-1.25.1-0.12.7
    3Parker MeadowsDET113464135846178.8%23.5%.163.288.237.308.400.3081021.32.22.72.1
    4Kerry CarpenterDET11647422587037.3%25.0%.217.301.256.319.473.339123-1.411.2-11.01.7
    5Colt KeithDET13252516616257.7%20.4%.161.303.260.320.421.321111-0.75.7-8.41.5
    6Jake RogersDET9233812383917.3%30.1%.168.266.209.274.377.28485-0.1-6.19.31.5
    7Matt VierlingDET10945011564477.7%21.0%.147.302.253.315.400.312104-0.12.1-4.51.3
    8Trey SweeneyDET943629383698.0%26.9%.138.284.220.288.358.284850.0-6.45.91.2
    9Dillon DinglerDET622326232616.7%28.7%.142.292.222.285.365.28585-0.3-4.26.21.0
    10Jace JungDET7629173029111.4%26.6%.137.288.222.315.359.30096-0.6-2.01.40.9
    11Javier BáezDET863419353774.6%24.0%.134.276.227.271.361.275790.3-8.03.60.7
    12Wenceel PérezDET853497423297.9%20.2%.141.283.239.302.380.298950.5-1.6-3.50.7
    13Zach McKinstryDET732655292297.8%21.5%.133.277.228.294.361.288870.6-3.3-0.40.5
    14Spencer TorkelsonDET9338414444519.8%26.7%.180.277.225.308.405.311104-0.71.1-9.00.5
    15Andy IbáñezDET551934202026.5%21.1%.134.284.238.293.372.29290-0.3-2.5-0.80.3
    16Manuel MargotDET381393151436.4%16.4%.128.292.257.309.385.303980.0-0.3-1.10.3
    17Gage WorkmanDET291172131247.8%33.9%.130.317.216.281.347.276760.0-3.21.60.2
    18Hao-Yu LeeDET83113306.7%20.5%.106.300.247.301.352.288880.0-0.40.10.1
    19Tomás NidoDET206816604.4%24.7%.098.280.220.256.318.25162-0.2-3.21.30.0
    20Akil BaddooDET721132110.1%28.0%.144.275.210.293.354.285860.1-0.3-0.20.0
    21Justyn-Henry MalloyDET3212541313111.5%31.2%.151.305.222.318.373.306100-0.3-0.2-3.90.0
    22Ryan KreidlerDET92502218.5%31.6%.097.276.193.267.290.251620.0-1.10.20.0
    23Jahmai JonesDET102904309.5%27.7%.094.300.220.301.314.277800.0-0.7-0.40.0
    24Brian ServenDET82202206.7%29.8%.098.253.185.250.283.239530.0-1.20.30.0
    25Bligh MadrisDET72412218.3%28.6%.133.270.206.274.339.270750.0-0.7-0.40.0
    #NameTeamGPAHRRRBISBBB%K%ISOBABIPAVGOBPSLGwOBAwRC+BsROffDefWAR
    1Riley GreeneDET142610228073610.2%25.6%.192.332.265.345.457.346129-0.519.5-3.63.7
    2Gleyber TorresDET14562216746579.5%18.2%.141.292.256.329.397.318109-1.25.1-0.12.7
    3Parker MeadowsDET113464135846178.8%23.5%.163.288.237.308.400.3081021.32.22.72.1
    4Kerry CarpenterDET11647422587037.3%25.0%.217.301.256.319.473.339123-1.411.2-11.01.7
    5Colt KeithDET13252516616257.7%20.4%.161.303.260.320.421.321111-0.75.7-8.41.5
    6Jake RogersDET9233812383917.3%30.1%.168.266.209.274.377.28485-0.1-6.19.31.5
    7Matt VierlingDET10945011564477.7%21.0%.147.302.253.315.400.312104-0.12.1-4.51.3
    8Trey SweeneyDET943629383698.0%26.9%.138.284.220.288.358.284850.0-6.45.91.2
    9Dillon DinglerDET622326232616.7%28.7%.142.292.222.285.365.28585-0.3-4.26.21.0
    10Jace JungDET7629173029111.4%26.6%.137.288.222.315.359.30096-0.6-2.01.40.9
    11Javier BáezDET863419353774.6%24.0%.134.276.227.271.361.275790.3-8.03.60.7
    12Wenceel PérezDET853497423297.9%20.2%.141.283.239.302.380.298950.5-1.6-3.50.7
    13Zach McKinstryDET732655292297.8%21.5%.133.277.228.294.361.288870.6-3.3-0.40.5
    14Spencer TorkelsonDET9338414444519.8%26.7%.180.277.225.308.405.311104-0.71.1-9.00.5
    15Andy IbáñezDET551934202026.5%21.1%.134.284.238.293.372.29290-0.3-2.5-0.80.3
    16Manuel MargotDET381393151436.4%16.4%.128.292.257.309.385.303980.0-0.3-1.10.3
    17Gage WorkmanDET291172131247.8%33.9%.130.317.216.281.347.276760.0-3.21.60.2
    18Hao-Yu LeeDET83113306.7%20.5%.106.300.247.301.352.288880.0-0.40.10.1
    19Tomás NidoDET206816604.4%24.7%.098.280.220.256.318.25162-0.2-3.21.30.0
    20Akil BaddooDET721132110.1%28.0%.144.275.210.293.354.285860.1-0.3-0.20.0
    21Justyn-Henry MalloyDET3212541313111.5%31.2%.151.305.222.318.373.306100-0.3-0.2-3.90.0
    22Ryan KreidlerDET92502218.5%31.6%.097.276.193.267.290.251620.0-1.10.20.0
    23Jahmai JonesDET102904309.5%27.7%.094.300.220.301.314.277800.0-0.7-0.40.0
    24Brian ServenDET82202206.7%29.8%.098.253.185.250.283.239530.0-1.20.30.0
    25Bligh MadrisDET72412218.3%28.6%.133.270.206.274.339.270750.0-0.7-0.40.0
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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. Peak version and 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.