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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  • 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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    (Context Neutral):
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  • Data Export [Members Only]
    #NameTeamGPAHRRRBISBBB%K%ISOBABIPAVGOBPSLGwOBAwRC+BsROffDefWAR
    1Vladimir Guerrero Jr.TOR153663299495511.3%13.7%.207.305.294.379.501.376144-1.333.0-13.04.4
    2Bryce HarperPHI140607268284912.3%21.3%.214.312.272.365.486.364133-0.223.5-10.13.4
    3Nick KurtzATH14357938949539.4%30.7%.275.320.261.334.537.368137-0.624.9-13.93.1
    4Freddie FreemanLAD143618228484810.5%18.5%.191.314.278.361.470.356129-1.220.1-10.93.1
    5Pete AlonsoBAL153655368510329.1%22.9%.239.276.252.333.491.351128-2.119.3-14.02.8
    6Matt OlsonATL154665298793111.9%24.0%.209.289.247.341.456.344121-1.814.6-9.12.8
    7Rafael DeversSFG150651308791212.7%24.6%.214.296.251.352.465.349124-1.517.3-12.02.8
    8Michael BuschCHC141591297980410.2%25.1%.227.291.249.334.477.348124-1.315.5-10.72.5
    9Cody BellingerNYY138592227779118.3%15.0%.183.268.257.320.440.3261090.26.3-2.82.4
    10Tyler SoderstromATH14058524727858.6%23.5%.195.300.256.325.451.334114-0.79.2-5.92.4
    11Ben RiceNYY13254127747549.9%21.1%.225.268.247.331.473.346122-0.913.4-9.12.3
    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
    14Josh NaylorSEA143604227486178.3%14.8%.171.276.262.327.432.3261160.011.2-11.22.1
    15Willson ContrerasBOS13456322707559.3%25.3%.190.307.251.342.440.341115-1.38.9-9.81.9
    16Vinnie PasquantinoKCR14662926739318.2%14.7%.200.266.259.325.459.336115-1.99.4-12.31.9
    17Miguel VargasCHW138581197166710.3%19.3%.172.262.233.319.405.317102-0.51.1-2.41.9
    18Jonathan ArandaTBR13656820707329.9%25.3%.172.323.260.343.432.337116-2.28.7-9.91.8
    19Jake CronenworthSDP140579146660410.7%19.9%.143.276.235.331.379.314101-0.6-0.2-2.31.8
    20Luis ArraezPHI1406064675585.2%4.0%.083.305.299.339.383.315101-0.30.6-5.41.6
    21Spencer TorkelsonDET147615277679210.5%26.1%.203.275.232.319.435.326109-0.75.5-11.61.5
    22Kyle ManzardoCLE12852325607029.6%23.8%.216.268.238.318.454.331114-0.78.0-11.51.5
    23Munetaka MurakamiCHW133547286975813.1%32.2%.215.276.217.326.432.329111-0.76.2-10.31.5
    24Sal StewartCIN12048419616477.7%19.5%.185.294.263.325.448.334110-0.25.3-8.61.3
    25Alec BurlesonSTL13857520657366.9%14.3%.165.283.268.321.433.326109-1.24.7-11.61.3
    26Nolan SchanuelLAA141598137057611.0%14.1%.123.288.261.352.384.326108-1.53.9-12.31.3
    27Christian WalkerHOU13556625677738.2%25.6%.197.269.231.303.428.316103-1.20.6-8.71.2
    28Ryan O'HearnPIT12451114615939.2%18.8%.147.305.264.338.411.326107-1.23.2-8.91.2
    29Luis García Jr.NYY124508155962145.5%15.8%.154.290.266.306.420.312100-0.1-0.4-5.21.2
    30Spencer HorwitzPIT116477115752210.6%18.5%.144.301.258.344.402.328108-1.13.5-8.51.1
    #NameTeamGPAHRRRBISBBB%K%ISOBABIPAVGOBPSLGwOBAwRC+BsROffDefWAR
    1Vladimir Guerrero Jr.TOR153663299495511.3%13.7%.207.305.294.379.501.376144-1.333.0-13.04.4
    2Bryce HarperPHI140607268284912.3%21.3%.214.312.272.365.486.364133-0.223.5-10.13.4
    3Nick KurtzATH14357938949539.4%30.7%.275.320.261.334.537.368137-0.624.9-13.93.1
    4Freddie FreemanLAD143618228484810.5%18.5%.191.314.278.361.470.356129-1.220.1-10.93.1
    5Pete AlonsoBAL153655368510329.1%22.9%.239.276.252.333.491.351128-2.119.3-14.02.8
    6Matt OlsonATL154665298793111.9%24.0%.209.289.247.341.456.344121-1.814.6-9.12.8
    7Rafael DeversSFG150651308791212.7%24.6%.214.296.251.352.465.349124-1.517.3-12.02.8
    8Michael BuschCHC141591297980410.2%25.1%.227.291.249.334.477.348124-1.315.5-10.72.5
    9Cody BellingerNYY138592227779118.3%15.0%.183.268.257.320.440.3261090.26.3-2.82.4
    10Tyler SoderstromATH14058524727858.6%23.5%.195.300.256.325.451.334114-0.79.2-5.92.4
    11Ben RiceNYY13254127747549.9%21.1%.225.268.247.331.473.346122-0.913.4-9.12.3
    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
    14Josh NaylorSEA143604227486178.3%14.8%.171.276.262.327.432.3261160.011.2-11.22.1
    15Willson ContrerasBOS13456322707559.3%25.3%.190.307.251.342.440.341115-1.38.9-9.81.9
    16Vinnie PasquantinoKCR14662926739318.2%14.7%.200.266.259.325.459.336115-1.99.4-12.31.9
    17Miguel VargasCHW138581197166710.3%19.3%.172.262.233.319.405.317102-0.51.1-2.41.9
    18Jonathan ArandaTBR13656820707329.9%25.3%.172.323.260.343.432.337116-2.28.7-9.91.8
    19Jake CronenworthSDP140579146660410.7%19.9%.143.276.235.331.379.314101-0.6-0.2-2.31.8
    20Luis ArraezPHI1406064675585.2%4.0%.083.305.299.339.383.315101-0.30.6-5.41.6
    21Spencer TorkelsonDET147615277679210.5%26.1%.203.275.232.319.435.326109-0.75.5-11.61.5
    22Kyle ManzardoCLE12852325607029.6%23.8%.216.268.238.318.454.331114-0.78.0-11.51.5
    23Munetaka MurakamiCHW133547286975813.1%32.2%.215.276.217.326.432.329111-0.76.2-10.31.5
    24Sal StewartCIN12048419616477.7%19.5%.185.294.263.325.448.334110-0.25.3-8.61.3
    25Alec BurlesonSTL13857520657366.9%14.3%.165.283.268.321.433.326109-1.24.7-11.61.3
    26Nolan SchanuelLAA141598137057611.0%14.1%.123.288.261.352.384.326108-1.53.9-12.31.3
    27Christian WalkerHOU13556625677738.2%25.6%.197.269.231.303.428.316103-1.20.6-8.71.2
    28Ryan O'HearnPIT12451114615939.2%18.8%.147.305.264.338.411.326107-1.23.2-8.91.2
    29Luis García Jr.NYY124508155962145.5%15.8%.154.290.266.306.420.312100-0.1-0.4-5.21.2
    30Spencer HorwitzPIT116477115752210.6%18.5%.144.301.258.344.402.328108-1.13.5-8.51.1
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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.