2026 Projections






ZiPS:
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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
  • vs RHP
  • Context Neutral
    Steamer:
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  • Overall - No Split
  • vs LHP
  • vs RHP
  • Steamer (RoS)
    Select
  • Overall - No Split
  • vs LHP
  • vs RHP
  • 600 PA / 200 IP
    3-Year
    Historical Projections
    Members Exclusive Data
    ZiPS:
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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
  • vs RHP
  • Data Export [Members Only]
    #NameTeamGPAHRRRBISBBB%K%ISOBABIPAVGOBPSLGwOBAwRC+BsROffDefWAR
    1Roman AnthonyBOS1416101985681112.3%25.2%.176.338.266.360.441.350121-0.115.2-6.83.0
    2Trevor StoryBOS136575207272226.1%27.3%.165.313.248.300.412.308921.7-3.54.82.2
    3Ceddanne RafaelaBOS140559167064204.6%21.6%.160.296.251.293.411.304901.2-5.67.32.1
    4Jarren DuranBOS142615178270238.0%23.5%.178.321.260.327.438.3311083.19.2-9.92.1
    5Wilyer AbreuBOS125505226470810.1%24.8%.206.289.245.324.451.333110-0.35.4-2.82.0
    6Willson ContrerasBOS13456322707559.3%25.3%.190.307.251.342.440.341115-1.38.9-9.81.9
    7Caleb DurbinBOS133532106354216.6%10.8%.126.269.254.325.380.311951.1-2.32.21.9
    8Carlos NarváezBOS10841012424439.1%26.7%.148.289.228.303.375.29886-0.7-7.59.81.7
    9Marcelo MayerBOS11143211504867.2%24.3%.150.300.243.299.393.30087-0.2-6.90.40.9
    10Romy GonzalezBOS511966242555.6%25.0%.159.328.264.309.423.31598-0.1-0.7-0.30.6
    11Connor WongBOS602215232136.7%24.4%.126.293.233.292.359.28678-0.3-6.13.60.5
    12Triston CasasBOS4518472123011.8%25.2%.184.285.236.330.420.325104-0.50.5-3.10.4
    13Kristian CampbellBOS321243141229.3%25.8%.124.317.243.326.367.30893-0.1-1.2-1.00.2
    14Andruw MonasterioBOS351223141238.4%23.7%.125.292.235.305.361.294830.0-2.4-0.50.1
    15Masataka YoshidaBOS532135242727.1%13.1%.131.295.272.334.403.322102-0.40.3-6.40.1
    16Nate EatonBOS248119836.3%25.1%.107.290.225.284.332.273690.2-2.91.30.1
    17Isiah Kiner-FalefaBOS552142221964.6%16.9%.084.293.250.292.334.276710.5-6.90.70.1
    18Brendan RodgersBOS289429906.8%27.7%.119.304.230.289.349.281740.0-2.9-0.10.0
    19Nick SogardBOS2490110819.6%22.4%.086.302.235.312.321.28476-0.1-2.6-0.70.0
    20Mickey GasperBOS133814409.2%20.1%.107.275.231.308.338.289790.0-1.0-0.8-0.1
    21Matt ThaissBOS826033012.5%25.2%.075.292.218.319.293.28174-0.1-0.8-1.2-0.1
    #NameTeamGPAHRRRBISBBB%K%ISOBABIPAVGOBPSLGwOBAwRC+BsROffDefWAR
    1Roman AnthonyBOS1416101985681112.3%25.2%.176.338.266.360.441.350121-0.115.2-6.83.0
    2Trevor StoryBOS136575207272226.1%27.3%.165.313.248.300.412.308921.7-3.54.82.2
    3Ceddanne RafaelaBOS140559167064204.6%21.6%.160.296.251.293.411.304901.2-5.67.32.1
    4Jarren DuranBOS142615178270238.0%23.5%.178.321.260.327.438.3311083.19.2-9.92.1
    5Wilyer AbreuBOS125505226470810.1%24.8%.206.289.245.324.451.333110-0.35.4-2.82.0
    6Willson ContrerasBOS13456322707559.3%25.3%.190.307.251.342.440.341115-1.38.9-9.81.9
    7Caleb DurbinBOS133532106354216.6%10.8%.126.269.254.325.380.311951.1-2.32.21.9
    8Carlos NarváezBOS10841012424439.1%26.7%.148.289.228.303.375.29886-0.7-7.59.81.7
    9Marcelo MayerBOS11143211504867.2%24.3%.150.300.243.299.393.30087-0.2-6.90.40.9
    10Romy GonzalezBOS511966242555.6%25.0%.159.328.264.309.423.31598-0.1-0.7-0.30.6
    11Connor WongBOS602215232136.7%24.4%.126.293.233.292.359.28678-0.3-6.13.60.5
    12Triston CasasBOS4518472123011.8%25.2%.184.285.236.330.420.325104-0.50.5-3.10.4
    13Kristian CampbellBOS321243141229.3%25.8%.124.317.243.326.367.30893-0.1-1.2-1.00.2
    14Andruw MonasterioBOS351223141238.4%23.7%.125.292.235.305.361.294830.0-2.4-0.50.1
    15Masataka YoshidaBOS532135242727.1%13.1%.131.295.272.334.403.322102-0.40.3-6.40.1
    16Nate EatonBOS248119836.3%25.1%.107.290.225.284.332.273690.2-2.91.30.1
    17Isiah Kiner-FalefaBOS552142221964.6%16.9%.084.293.250.292.334.276710.5-6.90.70.1
    18Brendan RodgersBOS289429906.8%27.7%.119.304.230.289.349.281740.0-2.9-0.10.0
    19Nick SogardBOS2490110819.6%22.4%.086.302.235.312.321.28476-0.1-2.6-0.70.0
    20Mickey GasperBOS133814409.2%20.1%.107.275.231.308.338.289790.0-1.0-0.8-0.1
    21Matt ThaissBOS826033012.5%25.2%.075.292.218.319.293.28174-0.1-0.8-1.2-0.1
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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.