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
    Steamer:
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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
    1William ContrerasMIL147614238083710.7%21.3%.184.316.270.352.455.350125-1.316.86.24.5
    2Adley RutschmanBAL143602207571211.1%15.8%.168.279.258.343.426.334122-0.714.28.34.4
    3Cal RaleighSEA141568296782310.0%27.6%.218.255.220.302.437.318114-1.57.712.74.1
    4Will SmithLAD120493196567210.1%17.9%.191.274.254.341.445.339120-1.310.29.93.8
    5Gabriel MorenoARI1174479515359.3%16.5%.128.319.278.349.405.331111-1.34.512.63.3
    6Yainer DiazHOU13454220647414.3%17.9%.175.309.280.314.455.330117-1.98.84.23.2
    7Austin WellsNYY11845917505739.8%22.7%.184.267.233.315.417.318106-0.42.68.92.8
    8J.T. RealmutoPHI11345016565567.3%24.5%.175.306.251.316.427.322106-0.32.88.92.8
    9Logan O'HoppeLAA12549822606337.9%26.4%.197.290.242.312.439.325111-1.24.94.92.7
    10Shea LangeliersATH12749926587037.5%27.2%.222.262.228.291.450.317105-1.21.87.82.7
    11Alejandro KirkTOR1084149394909.5%12.4%.124.277.259.335.383.316108-2.60.911.32.7
    12Iván HerreraSTL10239594741510.6%21.3%.140.316.261.346.400.3291130.16.25.42.6
    13Patrick BaileySFG1134349444538.1%23.7%.122.288.232.296.354.28684-0.5-8.816.52.3
    14Ryan JeffersMIN10641417495238.1%22.9%.193.267.235.313.427.322111-0.94.34.12.3
    15Willson ContrerasSTL129545226967610.6%24.7%.190.300.248.348.438.344123-1.413.3-9.62.3
    16Sean MurphyATL8131712374009.8%23.4%.188.272.233.325.421.326108-0.72.37.92.1
    17Salvador PerezKCR14157824628505.3%21.7%.184.289.256.306.440.319106-2.41.6-0.12.1
    18Bo NaylorCLE11341314464679.9%27.6%.168.266.213.295.381.29693-0.2-3.49.82.1
    19Danny JansenTBR97368154245110.0%19.9%.188.242.225.314.413.318105-0.71.55.72.0
    20Francisco AlvarezNYM9435515424719.1%24.7%.187.270.231.308.418.316104-1.00.75.31.8
    21Tyler StephensonCIN10440713495118.9%23.6%.164.309.255.329.419.326103-1.20.03.91.8
    22Jonah HeimTEX10038112394516.7%18.8%.148.253.228.283.376.28786-0.6-6.79.11.6
    23Miguel AmayaCHC933339333917.9%20.0%.147.273.237.312.384.30697-0.7-1.85.31.5
    24Jake RogersDET9233812383917.3%30.1%.168.266.209.274.377.28485-0.1-6.19.31.5
    25Joey BartPIT10037912424617.7%27.8%.152.306.238.310.389.30894-0.8-3.45.11.5
    26Connor WongBOS10640211464375.8%26.3%.147.313.246.299.392.30190-0.1-4.75.61.5
    27Keibert RuizWSN12348113475635.0%11.2%.140.250.244.289.384.29387-1.5-9.07.01.4
    28Carson KellyCHC812978303218.8%20.1%.137.263.229.305.366.29691-0.7-4.07.61.4
    29Freddy FerminKCR802966303116.7%19.4%.123.291.249.303.372.29690-0.5-3.97.51.4
    30Travis d'ArnaudLAA6925810293306.7%25.1%.181.278.234.295.415.30899-0.8-1.25.81.4
    #NameTeamGPAHRRRBISBBB%K%ISOBABIPAVGOBPSLGwOBAwRC+BsROffDefWAR
    1William ContrerasMIL147614238083710.7%21.3%.184.316.270.352.455.350125-1.316.86.24.5
    2Adley RutschmanBAL143602207571211.1%15.8%.168.279.258.343.426.334122-0.714.28.34.4
    3Cal RaleighSEA141568296782310.0%27.6%.218.255.220.302.437.318114-1.57.712.74.1
    4Will SmithLAD120493196567210.1%17.9%.191.274.254.341.445.339120-1.310.29.93.8
    5Gabriel MorenoARI1174479515359.3%16.5%.128.319.278.349.405.331111-1.34.512.63.3
    6Yainer DiazHOU13454220647414.3%17.9%.175.309.280.314.455.330117-1.98.84.23.2
    7Austin WellsNYY11845917505739.8%22.7%.184.267.233.315.417.318106-0.42.68.92.8
    8J.T. RealmutoPHI11345016565567.3%24.5%.175.306.251.316.427.322106-0.32.88.92.8
    9Logan O'HoppeLAA12549822606337.9%26.4%.197.290.242.312.439.325111-1.24.94.92.7
    10Shea LangeliersATH12749926587037.5%27.2%.222.262.228.291.450.317105-1.21.87.82.7
    11Alejandro KirkTOR1084149394909.5%12.4%.124.277.259.335.383.316108-2.60.911.32.7
    12Iván HerreraSTL10239594741510.6%21.3%.140.316.261.346.400.3291130.16.25.42.6
    13Patrick BaileySFG1134349444538.1%23.7%.122.288.232.296.354.28684-0.5-8.816.52.3
    14Ryan JeffersMIN10641417495238.1%22.9%.193.267.235.313.427.322111-0.94.34.12.3
    15Willson ContrerasSTL129545226967610.6%24.7%.190.300.248.348.438.344123-1.413.3-9.62.3
    16Sean MurphyATL8131712374009.8%23.4%.188.272.233.325.421.326108-0.72.37.92.1
    17Salvador PerezKCR14157824628505.3%21.7%.184.289.256.306.440.319106-2.41.6-0.12.1
    18Bo NaylorCLE11341314464679.9%27.6%.168.266.213.295.381.29693-0.2-3.49.82.1
    19Danny JansenTBR97368154245110.0%19.9%.188.242.225.314.413.318105-0.71.55.72.0
    20Francisco AlvarezNYM9435515424719.1%24.7%.187.270.231.308.418.316104-1.00.75.31.8
    21Tyler StephensonCIN10440713495118.9%23.6%.164.309.255.329.419.326103-1.20.03.91.8
    22Jonah HeimTEX10038112394516.7%18.8%.148.253.228.283.376.28786-0.6-6.79.11.6
    23Miguel AmayaCHC933339333917.9%20.0%.147.273.237.312.384.30697-0.7-1.85.31.5
    24Jake RogersDET9233812383917.3%30.1%.168.266.209.274.377.28485-0.1-6.19.31.5
    25Joey BartPIT10037912424617.7%27.8%.152.306.238.310.389.30894-0.8-3.45.11.5
    26Connor WongBOS10640211464375.8%26.3%.147.313.246.299.392.30190-0.1-4.75.61.5
    27Keibert RuizWSN12348113475635.0%11.2%.140.250.244.289.384.29387-1.5-9.07.01.4
    28Carson KellyCHC812978303218.8%20.1%.137.263.229.305.366.29691-0.7-4.07.61.4
    29Freddy FerminKCR802966303116.7%19.4%.123.291.249.303.372.29690-0.5-3.97.51.4
    30Travis d'ArnaudLAA6925810293306.7%25.1%.181.278.234.295.415.30899-0.8-1.25.81.4
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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.