2026 Projections






ZiPS:
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  • Steamer:
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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)
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  • 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
  • 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
  • vs RHP
  • Data Export [Members Only]
    #NameTeamGPAHRRRBISBBB%K%ISOBABIPAVGOBPSLGwOBAwRC+BsROffDefWAR
    1Matt ChapmanSFG145614238172911.4%24.5%.188.286.238.332.426.330112-0.58.03.53.3
    2Willy AdamesSFG1526492683831210.7%25.3%.187.275.231.316.418.319104-0.12.96.73.2
    3Rafael DeversSFG150651308791212.7%24.6%.214.296.251.352.465.349124-1.517.3-12.02.8
    4Luis ArraezSFG1406064675585.2%4.0%.083.305.299.339.383.315101-0.30.6-5.41.6
    5Jung Hoo LeeSFG1365678665497.6%11.2%.126.289.266.327.392.3151010.41.0-7.21.3
    6Harrison BaderSFG122482135750136.5%23.7%.141.297.243.303.384.301910.1-4.91.41.3
    7Heliot RamosSFG14560921737167.4%24.2%.164.307.253.319.417.320104-0.92.2-11.61.1
    8Casey SchmittSFG682659283016.7%23.2%.162.280.239.296.401.30292-0.3-2.80.40.7
    9Jesus RodriguezSFG145206518.0%16.0%.076.309.263.324.339.294870.0-0.81.80.3
    10Daniel SusacSFG238928915.3%28.8%.119.300.228.275.347.27272-0.1-3.02.20.2
    11Christian KossSFG27992111025.0%23.4%.106.300.238.287.344.278760.0-2.81.20.2
    12Eric HaaseSFG72402206.9%33.1%.095.306.212.269.308.257610.0-1.10.70.0
    13Drew GilbertSFG351283141327.9%20.7%.131.263.223.295.354.28782-0.1-2.8-1.30.0
    14Will BrennanSFG411542151425.2%13.8%.102.283.254.298.356.28681-0.1-3.6-1.50.0
    15Jerar EncarnacionSFG361364151616.8%30.6%.149.294.224.280.372.28580-0.2-3.4-2.9-0.2
    16Grant McCraySFG206217627.3%31.8%.115.294.210.269.325.263650.1-2.5-1.3-0.2
    17Bryce EldridgeSFG8132712344128.7%30.2%.172.301.231.301.403.30493-0.4-3.0-9.9-0.2
    #NameTeamGPAHRRRBISBBB%K%ISOBABIPAVGOBPSLGwOBAwRC+BsROffDefWAR
    1Matt ChapmanSFG145614238172911.4%24.5%.188.286.238.332.426.330112-0.58.03.53.3
    2Willy AdamesSFG1526492683831210.7%25.3%.187.275.231.316.418.319104-0.12.96.73.2
    3Rafael DeversSFG150651308791212.7%24.6%.214.296.251.352.465.349124-1.517.3-12.02.8
    4Luis ArraezSFG1406064675585.2%4.0%.083.305.299.339.383.315101-0.30.6-5.41.6
    5Jung Hoo LeeSFG1365678665497.6%11.2%.126.289.266.327.392.3151010.41.0-7.21.3
    6Harrison BaderSFG122482135750136.5%23.7%.141.297.243.303.384.301910.1-4.91.41.3
    7Heliot RamosSFG14560921737167.4%24.2%.164.307.253.319.417.320104-0.92.2-11.61.1
    8Casey SchmittSFG682659283016.7%23.2%.162.280.239.296.401.30292-0.3-2.80.40.7
    9Jesus RodriguezSFG145206518.0%16.0%.076.309.263.324.339.294870.0-0.81.80.3
    10Daniel SusacSFG238928915.3%28.8%.119.300.228.275.347.27272-0.1-3.02.20.2
    11Christian KossSFG27992111025.0%23.4%.106.300.238.287.344.278760.0-2.81.20.2
    12Eric HaaseSFG72402206.9%33.1%.095.306.212.269.308.257610.0-1.10.70.0
    13Drew GilbertSFG351283141327.9%20.7%.131.263.223.295.354.28782-0.1-2.8-1.30.0
    14Will BrennanSFG411542151425.2%13.8%.102.283.254.298.356.28681-0.1-3.6-1.50.0
    15Jerar EncarnacionSFG361364151616.8%30.6%.149.294.224.280.372.28580-0.2-3.4-2.9-0.2
    16Grant McCraySFG206217627.3%31.8%.115.294.210.269.325.263650.1-2.5-1.3-0.2
    17Bryce EldridgeSFG8132712344128.7%30.2%.172.301.231.301.403.30493-0.4-3.0-9.9-0.2
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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.