2025 Projections






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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
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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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  • Data Export [Members Only]
    #NameTeamGPAHRRRBISBBB%K%ISOBABIPAVGOBPSLGwOBAwRC+BsROffDefWAR
    1Aaron JudgeNYY14563546104114817.5%25.6%.319.321.283.413.602.425179-0.558.0-10.57.1
    2Juan SotoNYM1526693410696819.1%16.7%.252.288.275.416.527.404165-2.648.0-11.16.1
    3Kyle TuckerCHC1456323092932012.9%15.4%.226.286.277.371.503.3731431.633.7-7.84.9
    4Fernando Tatis Jr.SDP143622329487208.4%21.9%.230.306.272.339.502.3611351.727.0-3.44.6
    5Corbin CarrollARI15065023107753910.4%19.4%.205.291.258.345.463.3491235.223.0-4.74.1
    6Ronald Acuña Jr.ATL1145112188612911.7%18.8%.204.319.284.377.488.3741403.628.0-6.74.0
    7Mike TroutLAA104451276565712.1%26.0%.267.296.257.356.525.375146-0.423.1-4.53.5
    8Jackson ChourioMIL147626228483276.7%20.7%.182.311.269.322.451.3321132.111.6-4.92.8
    9Matt WallnerMIN122499246165410.3%34.1%.227.327.236.337.463.346128-0.315.6-6.92.6
    10Anthony SantanderTOR14663033809328.6%20.5%.230.253.241.313.470.336121-0.914.4-12.02.4
    11Teoscar HernándezLAD14561928819197.2%28.7%.204.326.259.319.463.336118-1.011.9-9.22.4
    12Lawrence ButlerATH142587247769197.7%23.9%.195.293.250.309.445.3241101.07.6-3.92.4
    13Bryan ReynoldsPIT14764322797998.7%22.0%.175.314.264.338.440.337114-0.110.4-8.62.4
    14Lars NootbaarSTL120499176155912.9%20.2%.181.281.247.345.429.337118-0.110.7-4.22.4
    15Cody BellingerNYY134575217476127.9%17.2%.179.273.254.315.433.3211070.45.3-1.82.3
    16Victor RoblesSEA12750486342387.5%20.2%.111.310.253.328.364.3081072.96.7-2.82.1
    17Tyler O'NeillBAL112467236262610.2%30.5%.216.295.235.321.451.333121-0.310.7-6.62.0
    18Seiya SuzukiCHC1285542072691210.5%25.1%.187.325.262.345.450.344123-1.113.8-13.02.0
    19Lane ThomasCLE127533166760227.9%25.4%.164.302.243.310.406.3121041.03.7-2.42.0
    20Kerry CarpenterDET11647422587037.3%25.0%.217.301.256.319.473.339123-1.411.2-11.01.7
    21George SpringerTOR134577187363149.1%19.0%.155.273.242.318.398.3141060.24.1-7.51.6
    22Jorge SolerLAA129547277071111.1%25.5%.219.271.235.327.453.338119-2.110.1-12.71.6
    23Josh LoweTBR124506166260267.9%29.3%.172.327.248.309.419.3141032.23.7-5.01.6
    24Wilyer AbreuBOS108424155454810.5%26.9%.184.306.243.326.427.328109-0.33.9-2.81.6
    25Dylan CrewsWSN134569156861277.2%21.7%.152.291.244.308.397.308971.0-1.0-3.31.5
    26Jo AdellLAA119459215559147.6%30.0%.205.277.223.292.429.311101-0.10.3-1.31.5
    27Andy PagesLAD8333213454128.1%24.4%.193.292.245.317.438.326111-0.43.9-0.61.5
    28Jake McCarthyARI12449486448276.9%17.7%.121.309.262.325.383.311982.51.1-3.31.5
    29Luke RaleySEA122471205858116.8%30.4%.191.296.230.305.421.3161120.16.8-8.41.5
    30Adolis GarcíaTEX134571247179117.7%27.8%.189.284.232.298.421.311103-0.11.5-7.41.4
    #NameTeamGPAHRRRBISBBB%K%ISOBABIPAVGOBPSLGwOBAwRC+BsROffDefWAR
    1Aaron JudgeNYY14563546104114817.5%25.6%.319.321.283.413.602.425179-0.558.0-10.57.1
    2Juan SotoNYM1526693410696819.1%16.7%.252.288.275.416.527.404165-2.648.0-11.16.1
    3Kyle TuckerCHC1456323092932012.9%15.4%.226.286.277.371.503.3731431.633.7-7.84.9
    4Fernando Tatis Jr.SDP143622329487208.4%21.9%.230.306.272.339.502.3611351.727.0-3.44.6
    5Corbin CarrollARI15065023107753910.4%19.4%.205.291.258.345.463.3491235.223.0-4.74.1
    6Ronald Acuña Jr.ATL1145112188612911.7%18.8%.204.319.284.377.488.3741403.628.0-6.74.0
    7Mike TroutLAA104451276565712.1%26.0%.267.296.257.356.525.375146-0.423.1-4.53.5
    8Jackson ChourioMIL147626228483276.7%20.7%.182.311.269.322.451.3321132.111.6-4.92.8
    9Matt WallnerMIN122499246165410.3%34.1%.227.327.236.337.463.346128-0.315.6-6.92.6
    10Anthony SantanderTOR14663033809328.6%20.5%.230.253.241.313.470.336121-0.914.4-12.02.4
    11Teoscar HernándezLAD14561928819197.2%28.7%.204.326.259.319.463.336118-1.011.9-9.22.4
    12Lawrence ButlerATH142587247769197.7%23.9%.195.293.250.309.445.3241101.07.6-3.92.4
    13Bryan ReynoldsPIT14764322797998.7%22.0%.175.314.264.338.440.337114-0.110.4-8.62.4
    14Lars NootbaarSTL120499176155912.9%20.2%.181.281.247.345.429.337118-0.110.7-4.22.4
    15Cody BellingerNYY134575217476127.9%17.2%.179.273.254.315.433.3211070.45.3-1.82.3
    16Victor RoblesSEA12750486342387.5%20.2%.111.310.253.328.364.3081072.96.7-2.82.1
    17Tyler O'NeillBAL112467236262610.2%30.5%.216.295.235.321.451.333121-0.310.7-6.62.0
    18Seiya SuzukiCHC1285542072691210.5%25.1%.187.325.262.345.450.344123-1.113.8-13.02.0
    19Lane ThomasCLE127533166760227.9%25.4%.164.302.243.310.406.3121041.03.7-2.42.0
    20Kerry CarpenterDET11647422587037.3%25.0%.217.301.256.319.473.339123-1.411.2-11.01.7
    21George SpringerTOR134577187363149.1%19.0%.155.273.242.318.398.3141060.24.1-7.51.6
    22Jorge SolerLAA129547277071111.1%25.5%.219.271.235.327.453.338119-2.110.1-12.71.6
    23Josh LoweTBR124506166260267.9%29.3%.172.327.248.309.419.3141032.23.7-5.01.6
    24Wilyer AbreuBOS108424155454810.5%26.9%.184.306.243.326.427.328109-0.33.9-2.81.6
    25Dylan CrewsWSN134569156861277.2%21.7%.152.291.244.308.397.308971.0-1.0-3.31.5
    26Jo AdellLAA119459215559147.6%30.0%.205.277.223.292.429.311101-0.10.3-1.31.5
    27Andy PagesLAD8333213454128.1%24.4%.193.292.245.317.438.326111-0.43.9-0.61.5
    28Jake McCarthyARI12449486448276.9%17.7%.121.309.262.325.383.311982.51.1-3.31.5
    29Luke RaleySEA122471205858116.8%30.4%.191.296.230.305.421.3161120.16.8-8.41.5
    30Adolis GarcíaTEX134571247179117.7%27.8%.189.284.232.298.421.311103-0.11.5-7.41.4
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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. 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.