2026 Projections






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  • General Projections
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  • Overall - No Split
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  • Steamer (RoS):
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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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  • 3-Year
    Historical Projections
    Members Exclusive Data
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  • Splits - Steamer Projections
    Members Exclusive Data
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  • Steamer Ros:
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  • Overall - No Split
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  • Steamer
    (Context Neutral):
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  • Steamer RoS
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  • Data Export [Members Only]
    #NameTeamGPAHRRRBISBBB%K%ISOBABIPAVGOBPSLGwOBAwRC+BsROffDefWAR
    1José RamírezCLE151649289289339.8%11.5%.212.270.273.347.485.3531292.124.01.34.9
    2Junior CamineroTBR149636378410466.8%19.5%.238.282.269.321.507.352127-0.619.4-0.94.1
    3Alex BregmanCHC149641238179210.2%14.0%.175.264.254.338.429.334114-1.69.03.63.5
    4Matt ChapmanSFG145614238172911.4%24.5%.188.286.238.332.426.330112-0.58.03.53.3
    5Maikel GarciaKCR150640128365268.3%14.9%.133.300.268.329.401.3191041.94.75.93.3
    6Bo BichetteNYM13860217747666.3%16.4%.152.319.286.333.438.334114-0.69.30.93.1
    7Austin RileyATL14863328828627.4%26.1%.204.312.258.320.462.336115-0.910.6-1.23.1
    8Manny MachadoSDP14762926798998.1%19.4%.188.290.263.324.451.332113-0.79.0-1.82.9
    9Rafael DeversSFG150651308791212.7%24.6%.214.296.251.352.465.349124-1.517.3-12.02.8
    10Carlos CorreaHOU12954616646308.9%19.7%.150.307.264.332.414.325109-0.94.93.12.7
    11Kevin McGonigleDET1084471456521010.0%14.5%.173.270.254.331.427.329111-0.15.74.92.7
    12Max MuncyLAD109444215962314.6%24.5%.217.250.222.343.439.340118-1.38.2-0.82.3
    13Yandy DíazTBR14261619737329.3%15.0%.158.314.287.358.444.349124-1.716.0-14.52.3
    14Kazuma OkamotoTOR12652322627129.3%18.5%.195.260.243.322.438.328111-0.95.7-1.62.3
    15Isaac ParedesHOU116492206062111.2%16.9%.186.255.241.341.428.337117-1.18.7-3.62.3
    16Alec BohmPHI13356214647036.5%15.7%.140.302.273.323.413.319103-1.00.70.92.1
    17Jordan WestburgBAL9339416545046.3%22.5%.193.303.261.316.454.332114-0.36.5-0.82.0
    18Miguel VargasCHW138581197166710.3%19.3%.172.262.233.319.405.317102-0.51.1-2.41.9
    19Caleb DurbinBOS133532106354216.6%10.8%.126.269.254.325.380.311951.1-2.32.21.9
    20Nolan ArenadoARI13455916606936.8%13.8%.147.267.252.306.399.30593-0.8-5.23.61.7
    21Ryan McMahonNYY118475165351311.3%31.5%.164.293.218.310.382.30494-0.6-4.24.61.7
    22Colt KeithDET12349315625538.8%20.9%.165.300.257.325.423.3241080.14.5-5.71.6
    23Joey OrtizMIL13251495752126.9%17.4%.124.278.241.298.365.291860.7-8.26.51.6
    24Josh JungTEX12450717556045.5%25.5%.157.304.247.293.404.30294-1.2-4.82.71.6
    25Ernie ClementTOR13955410645684.4%10.3%.120.276.262.298.383.295880.1-7.53.61.6
    26Royce LewisMIN123498195663117.2%21.4%.175.274.242.299.418.309970.0-1.8-0.61.5
    27Josh SmithTOR12551110594599.3%19.1%.124.284.240.325.363.30697-0.2-2.2-0.81.5
    28Jared TrioloPIT119473953421310.0%22.8%.121.302.241.321.362.303910.1-4.83.21.5
    29Addison BargerTOR11547017566048.1%24.3%.183.285.239.305.422.314101-0.50.2-3.01.4
    30Sal StewartCIN12048419616477.7%19.5%.185.294.263.325.448.334110-0.25.3-8.61.3
    #NameTeamGPAHRRRBISBBB%K%ISOBABIPAVGOBPSLGwOBAwRC+BsROffDefWAR
    1José RamírezCLE151649289289339.8%11.5%.212.270.273.347.485.3531292.124.01.34.9
    2Junior CamineroTBR149636378410466.8%19.5%.238.282.269.321.507.352127-0.619.4-0.94.1
    3Alex BregmanCHC149641238179210.2%14.0%.175.264.254.338.429.334114-1.69.03.63.5
    4Matt ChapmanSFG145614238172911.4%24.5%.188.286.238.332.426.330112-0.58.03.53.3
    5Maikel GarciaKCR150640128365268.3%14.9%.133.300.268.329.401.3191041.94.75.93.3
    6Bo BichetteNYM13860217747666.3%16.4%.152.319.286.333.438.334114-0.69.30.93.1
    7Austin RileyATL14863328828627.4%26.1%.204.312.258.320.462.336115-0.910.6-1.23.1
    8Manny MachadoSDP14762926798998.1%19.4%.188.290.263.324.451.332113-0.79.0-1.82.9
    9Rafael DeversSFG150651308791212.7%24.6%.214.296.251.352.465.349124-1.517.3-12.02.8
    10Carlos CorreaHOU12954616646308.9%19.7%.150.307.264.332.414.325109-0.94.93.12.7
    11Kevin McGonigleDET1084471456521010.0%14.5%.173.270.254.331.427.329111-0.15.74.92.7
    12Max MuncyLAD109444215962314.6%24.5%.217.250.222.343.439.340118-1.38.2-0.82.3
    13Yandy DíazTBR14261619737329.3%15.0%.158.314.287.358.444.349124-1.716.0-14.52.3
    14Kazuma OkamotoTOR12652322627129.3%18.5%.195.260.243.322.438.328111-0.95.7-1.62.3
    15Isaac ParedesHOU116492206062111.2%16.9%.186.255.241.341.428.337117-1.18.7-3.62.3
    16Alec BohmPHI13356214647036.5%15.7%.140.302.273.323.413.319103-1.00.70.92.1
    17Jordan WestburgBAL9339416545046.3%22.5%.193.303.261.316.454.332114-0.36.5-0.82.0
    18Miguel VargasCHW138581197166710.3%19.3%.172.262.233.319.405.317102-0.51.1-2.41.9
    19Caleb DurbinBOS133532106354216.6%10.8%.126.269.254.325.380.311951.1-2.32.21.9
    20Nolan ArenadoARI13455916606936.8%13.8%.147.267.252.306.399.30593-0.8-5.23.61.7
    21Ryan McMahonNYY118475165351311.3%31.5%.164.293.218.310.382.30494-0.6-4.24.61.7
    22Colt KeithDET12349315625538.8%20.9%.165.300.257.325.423.3241080.14.5-5.71.6
    23Joey OrtizMIL13251495752126.9%17.4%.124.278.241.298.365.291860.7-8.26.51.6
    24Josh JungTEX12450717556045.5%25.5%.157.304.247.293.404.30294-1.2-4.82.71.6
    25Ernie ClementTOR13955410645684.4%10.3%.120.276.262.298.383.295880.1-7.53.61.6
    26Royce LewisMIN123498195663117.2%21.4%.175.274.242.299.418.309970.0-1.8-0.61.5
    27Josh SmithTOR12551110594599.3%19.1%.124.284.240.325.363.30697-0.2-2.2-0.81.5
    28Jared TrioloPIT119473953421310.0%22.8%.121.302.241.321.362.303910.1-4.83.21.5
    29Addison BargerTOR11547017566048.1%24.3%.183.285.239.305.422.314101-0.50.2-3.01.4
    30Sal StewartCIN12048419616477.7%19.5%.185.294.263.325.448.334110-0.25.3-8.61.3
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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.