2025 Projections






ZiPS:
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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
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  • 600 PA / 200 IP
    3-Year
    Historical Projections
    New! Members Exclusive Data
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  • Steamer:
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  • Splits - Steamer Projections
    New! Members Exclusive Data
    Steamer:
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  • Overall - No Split
  • vs LHP
  • vs RHP
  • 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
    1Aaron JudgeNYY14563546104114817.5%25.6%.319.321.283.413.602.425179-0.558.0-10.57.1
    2Bobby Witt Jr.KCR1516583010395327.3%16.3%.235.313.294.350.529.3721432.835.59.66.9
    3Juan SotoNYM1526693410696819.1%16.7%.252.288.275.416.527.404165-2.648.0-11.16.1
    4Gunnar HendersonBAL1426202996841610.6%22.6%.234.312.271.353.505.3671451.333.14.86.1
    5Shohei OhtaniLAD145642411131043312.5%22.8%.295.317.286.379.581.4021632.750.3-13.86.0
    6Yordan AlvarezHOU138599379098312.4%16.6%.283.305.298.394.581.409173-1.548.7-13.95.7
    7Mookie BettsLAD1446342798881511.8%13.5%.216.286.279.368.495.3711420.431.42.15.6
    8José RamírezCLE151656299496309.5%11.8%.222.271.274.344.496.3551352.728.73.15.5
    9Julio RodríguezSEA146635278883277.0%23.9%.193.328.274.334.468.3451332.225.95.35.4
    10Francisco LindorNYM152667289887248.9%19.0%.203.281.257.332.460.3421221.718.710.65.3
    11Corey SeagerTEX12353429758129.9%17.2%.244.293.282.357.526.373146-1.926.33.44.9
    12Kyle TuckerCHC1456323092932012.9%15.4%.226.286.277.371.503.3731431.633.7-7.84.9
    13Vladimir Guerrero Jr.TOR153665319299410.3%14.1%.219.306.296.373.515.378151-2.636.4-13.54.7
    14Ketel MarteARI140608288888710.7%17.9%.226.297.276.358.502.367135-0.724.70.04.6
    15Fernando Tatis Jr.SDP143622329487208.4%21.9%.230.306.272.339.502.3611351.727.0-3.44.6
    16William ContrerasMIL147614238083710.7%21.3%.184.316.270.352.455.350125-1.316.86.24.5
    17Jackson MerrillSDP151627257986165.8%16.6%.198.298.277.320.475.3391200.215.17.04.4
    18Adley RutschmanBAL143602207571211.1%15.8%.168.279.258.343.426.334122-0.714.28.34.4
    19Elly De La CruzCIN149645249677549.2%30.5%.206.341.254.327.460.3391114.412.97.74.3
    20Austin RileyATL15165232929228.2%24.3%.225.312.268.336.493.355127-1.020.4-0.64.3
    21Corbin CarrollARI15065023107753910.4%19.4%.205.291.258.345.463.3491235.223.0-4.74.1
    22Cal RaleighSEA141568296782310.0%27.6%.218.255.220.302.437.318114-1.57.712.74.1
    23Freddie FreemanLAD142620228985911.5%16.0%.191.318.289.378.480.368140-0.228.6-10.34.0
    24Bryce HarperPHI144626288889912.9%21.5%.221.321.278.374.498.371139-1.727.5-9.94.0
    25Ronald Acuña Jr.ATL1145112188612911.7%18.8%.204.319.284.377.488.3741403.628.0-6.74.0
    26Trea TurnerPHI143625219075236.1%19.2%.169.317.278.326.447.3341142.412.94.23.9
    27Matt ChapmanSFG147619258176910.3%25.7%.203.290.241.326.444.3331160.512.15.03.9
    28Michael Harris IIATL139583218272185.6%19.4%.183.318.280.326.463.3381161.212.65.33.8
    29Will SmithLAD120493196567210.1%17.9%.191.274.254.341.445.339120-1.310.29.93.8
    30Riley GreeneDET142610228073610.2%25.6%.192.332.265.345.457.346129-0.519.5-3.63.7
    #NameTeamGPAHRRRBISBBB%K%ISOBABIPAVGOBPSLGwOBAwRC+BsROffDefWAR
    1Aaron JudgeNYY14563546104114817.5%25.6%.319.321.283.413.602.425179-0.558.0-10.57.1
    2Bobby Witt Jr.KCR1516583010395327.3%16.3%.235.313.294.350.529.3721432.835.59.66.9
    3Juan SotoNYM1526693410696819.1%16.7%.252.288.275.416.527.404165-2.648.0-11.16.1
    4Gunnar HendersonBAL1426202996841610.6%22.6%.234.312.271.353.505.3671451.333.14.86.1
    5Shohei OhtaniLAD145642411131043312.5%22.8%.295.317.286.379.581.4021632.750.3-13.86.0
    6Yordan AlvarezHOU138599379098312.4%16.6%.283.305.298.394.581.409173-1.548.7-13.95.7
    7Mookie BettsLAD1446342798881511.8%13.5%.216.286.279.368.495.3711420.431.42.15.6
    8José RamírezCLE151656299496309.5%11.8%.222.271.274.344.496.3551352.728.73.15.5
    9Julio RodríguezSEA146635278883277.0%23.9%.193.328.274.334.468.3451332.225.95.35.4
    10Francisco LindorNYM152667289887248.9%19.0%.203.281.257.332.460.3421221.718.710.65.3
    11Corey SeagerTEX12353429758129.9%17.2%.244.293.282.357.526.373146-1.926.33.44.9
    12Kyle TuckerCHC1456323092932012.9%15.4%.226.286.277.371.503.3731431.633.7-7.84.9
    13Vladimir Guerrero Jr.TOR153665319299410.3%14.1%.219.306.296.373.515.378151-2.636.4-13.54.7
    14Ketel MarteARI140608288888710.7%17.9%.226.297.276.358.502.367135-0.724.70.04.6
    15Fernando Tatis Jr.SDP143622329487208.4%21.9%.230.306.272.339.502.3611351.727.0-3.44.6
    16William ContrerasMIL147614238083710.7%21.3%.184.316.270.352.455.350125-1.316.86.24.5
    17Jackson MerrillSDP151627257986165.8%16.6%.198.298.277.320.475.3391200.215.17.04.4
    18Adley RutschmanBAL143602207571211.1%15.8%.168.279.258.343.426.334122-0.714.28.34.4
    19Elly De La CruzCIN149645249677549.2%30.5%.206.341.254.327.460.3391114.412.97.74.3
    20Austin RileyATL15165232929228.2%24.3%.225.312.268.336.493.355127-1.020.4-0.64.3
    21Corbin CarrollARI15065023107753910.4%19.4%.205.291.258.345.463.3491235.223.0-4.74.1
    22Cal RaleighSEA141568296782310.0%27.6%.218.255.220.302.437.318114-1.57.712.74.1
    23Freddie FreemanLAD142620228985911.5%16.0%.191.318.289.378.480.368140-0.228.6-10.34.0
    24Bryce HarperPHI144626288889912.9%21.5%.221.321.278.374.498.371139-1.727.5-9.94.0
    25Ronald Acuña Jr.ATL1145112188612911.7%18.8%.204.319.284.377.488.3741403.628.0-6.74.0
    26Trea TurnerPHI143625219075236.1%19.2%.169.317.278.326.447.3341142.412.94.23.9
    27Matt ChapmanSFG147619258176910.3%25.7%.203.290.241.326.444.3331160.512.15.03.9
    28Michael Harris IIATL139583218272185.6%19.4%.183.318.280.326.463.3381161.212.65.33.8
    29Will SmithLAD120493196567210.1%17.9%.191.274.254.341.445.339120-1.310.29.93.8
    30Riley GreeneDET142610228073610.2%25.6%.192.332.265.345.457.346129-0.519.5-3.63.7
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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.