2026 Projections






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  • General Projections
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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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  • Steamer (RoS)
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  • Overall - No Split
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  • 600 PA / 200 IP
    3-Year
    Historical Projections
    Members Exclusive Data
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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
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  • Steamer
    (Context Neutral):
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  • Overall - No Split
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  • Steamer RoS
    (Context Neutral):
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  • Overall - No Split
  • vs LHP
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  • Data Export [Members Only]
    #NameTeamGPAHRRRBISBBB%K%ISOBABIPAVGOBPSLGwOBAwRC+BsROffDefWAR
    1Juan SotoNYM15567839109992118.4%17.9%.262.284.273.409.535.402161-0.248.6-13.95.9
    2Francisco LindorNYM142628259277238.9%18.4%.189.282.258.335.447.3391170.913.89.04.5
    3Bo BichetteNYM13860217747666.3%16.4%.152.319.286.333.438.334114-0.69.30.93.1
    4Marcus SemienNYM13757718736799.0%16.5%.157.260.240.312.397.310970.1-1.75.42.4
    5Francisco AlvarezNYM11142719515719.2%25.8%.195.274.233.312.428.321105-0.71.93.42.0
    6Luis Robert Jr.NYM127523206662297.5%28.1%.170.293.234.297.404.303931.0-3.34.71.9
    7Jorge PolancoNYM12350721616859.2%20.5%.188.274.247.320.435.326109-0.84.5-7.61.4
    8Brett BatyNYM11244616525258.3%24.9%.166.292.242.309.408.31299-0.4-0.8-4.41.0
    9Luis TorrensNYM622225222316.6%22.3%.123.284.234.290.357.28480-0.3-5.67.51.0
    10Carson BengeNYM9538110464188.9%21.6%.148.284.238.314.386.30695-0.1-2.2-3.20.8
    11Mark VientosNYM10643518505817.0%26.3%.189.287.240.298.428.314100-1.0-1.0-9.50.4
    12Christopher MorelNYM9134713414269.1%30.1%.183.285.221.299.404.306940.1-2.3-6.00.3
    13Andy IbáñezNYM551904191936.9%20.1%.130.283.240.300.370.29487-0.4-3.3-0.10.3
    14Tyrone TaylorNYM752816322885.1%22.7%.133.276.225.278.359.278760.6-7.5-1.10.1
    15Mike TauchmanNYM3814531714111.7%23.0%.123.284.230.325.352.30393-0.4-1.6-2.60.1
    16Vidal BrujánNYM113404317.7%21.1%.085.277.220.284.306.263650.0-1.40.60.0
    17Ronny MauricioNYM371404161446.3%25.4%.140.287.232.285.372.284800.1-3.2-1.40.0
    18Jared OlivaNYM62713326.6%24.1%.138.278.229.289.367.289830.1-0.4-0.40.0
    19Ryan CliffordNYM1243156011.1%30.0%.131.283.211.302.342.287820.0-1.0-0.40.0
    20Ben RortvedtNYM124014309.0%26.2%.071.262.196.277.267.24956-0.1-2.20.80.0
    21Ji Hwan BaeNYM102503228.6%27.4%.087.319.231.301.319.277750.1-0.7-0.40.0
    22Jared YoungNYM123715408.9%25.8%.119.286.225.300.344.286810.0-0.9-0.70.0
    23Eric WagamanNYM311203131316.3%20.2%.140.285.245.293.385.29587-0.2-2.0-3.0-0.1
    24MJ MelendezNYM281033111128.5%29.0%.161.261.205.276.366.28178-0.1-2.8-1.9-0.1
    #NameTeamGPAHRRRBISBBB%K%ISOBABIPAVGOBPSLGwOBAwRC+BsROffDefWAR
    1Juan SotoNYM15567839109992118.4%17.9%.262.284.273.409.535.402161-0.248.6-13.95.9
    2Francisco LindorNYM142628259277238.9%18.4%.189.282.258.335.447.3391170.913.89.04.5
    3Bo BichetteNYM13860217747666.3%16.4%.152.319.286.333.438.334114-0.69.30.93.1
    4Marcus SemienNYM13757718736799.0%16.5%.157.260.240.312.397.310970.1-1.75.42.4
    5Francisco AlvarezNYM11142719515719.2%25.8%.195.274.233.312.428.321105-0.71.93.42.0
    6Luis Robert Jr.NYM127523206662297.5%28.1%.170.293.234.297.404.303931.0-3.34.71.9
    7Jorge PolancoNYM12350721616859.2%20.5%.188.274.247.320.435.326109-0.84.5-7.61.4
    8Brett BatyNYM11244616525258.3%24.9%.166.292.242.309.408.31299-0.4-0.8-4.41.0
    9Luis TorrensNYM622225222316.6%22.3%.123.284.234.290.357.28480-0.3-5.67.51.0
    10Carson BengeNYM9538110464188.9%21.6%.148.284.238.314.386.30695-0.1-2.2-3.20.8
    11Mark VientosNYM10643518505817.0%26.3%.189.287.240.298.428.314100-1.0-1.0-9.50.4
    12Christopher MorelNYM9134713414269.1%30.1%.183.285.221.299.404.306940.1-2.3-6.00.3
    13Andy IbáñezNYM551904191936.9%20.1%.130.283.240.300.370.29487-0.4-3.3-0.10.3
    14Tyrone TaylorNYM752816322885.1%22.7%.133.276.225.278.359.278760.6-7.5-1.10.1
    15Mike TauchmanNYM3814531714111.7%23.0%.123.284.230.325.352.30393-0.4-1.6-2.60.1
    16Vidal BrujánNYM113404317.7%21.1%.085.277.220.284.306.263650.0-1.40.60.0
    17Ronny MauricioNYM371404161446.3%25.4%.140.287.232.285.372.284800.1-3.2-1.40.0
    18Jared OlivaNYM62713326.6%24.1%.138.278.229.289.367.289830.1-0.4-0.40.0
    19Ryan CliffordNYM1243156011.1%30.0%.131.283.211.302.342.287820.0-1.0-0.40.0
    20Ben RortvedtNYM124014309.0%26.2%.071.262.196.277.267.24956-0.1-2.20.80.0
    21Ji Hwan BaeNYM102503228.6%27.4%.087.319.231.301.319.277750.1-0.7-0.40.0
    22Jared YoungNYM123715408.9%25.8%.119.286.225.300.344.286810.0-0.9-0.70.0
    23Eric WagamanNYM311203131316.3%20.2%.140.285.245.293.385.29587-0.2-2.0-3.0-0.1
    24MJ MelendezNYM281033111128.5%29.0%.161.261.205.276.366.28178-0.1-2.8-1.9-0.1
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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.