2026 Projections






ZiPS:
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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
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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
  • vs LHP
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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
  • 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
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  • Data Export [Members Only]
    #NameTeamGPAHRRRBISBBB%K%ISOBABIPAVGOBPSLGwOBAwRC+BsROffDefWAR
    1Aaron JudgeNYY14563847108112917.9%24.6%.325.326.290.422.615.432182-1.560.0-6.27.7
    2Bobby Witt Jr.KCR1516592810092347.3%17.1%.225.315.291.347.516.3651363.331.112.06.7
    3Shohei OhtaniLAD149660461211092413.9%24.2%.315.313.283.386.598.4101671.253.2-14.06.3
    4Juan SotoNYM15567839109992118.4%17.9%.262.284.273.409.535.402161-0.248.6-13.95.9
    5Gunnar HendersonBAL1526602697822410.2%21.2%.207.311.270.349.477.3541302.525.86.75.6
    6Julio RodríguezSEA152660309591287.2%22.1%.206.311.271.332.478.3461301.824.96.85.6
    7Cal RaleighSEA1496193985100812.1%27.0%.265.251.229.328.494.348131-1.620.810.05.3
    8José RamírezCLE151649289289339.8%11.5%.212.270.273.347.485.3531292.124.01.34.9
    9Fernando Tatis Jr.SDP1496482999802610.9%19.8%.209.301.270.355.479.3591311.925.9-1.54.7
    10Ketel MarteARI140612288885511.0%16.2%.223.289.275.361.499.367136-0.625.50.24.7
    11Ronald Acuña Jr.ATL14462928105772513.6%21.4%.214.324.280.385.494.3791452.235.7-10.64.7
    12Kyle TuckerLAD1436203094882313.6%14.9%.230.274.269.371.498.3721401.130.5-6.54.6
    13Francisco LindorNYM142628259277238.9%18.4%.189.282.258.335.447.3391170.913.89.04.5
    14Corey SeagerTEX123526267176211.3%18.6%.226.293.273.360.499.364136-1.521.24.34.5
    15Vladimir Guerrero Jr.TOR153663299495511.3%13.7%.207.305.294.379.501.376144-1.333.0-13.04.4
    16Corbin CarrollARI1396062697773210.6%21.1%.234.291.257.344.491.3561294.725.4-3.24.3
    17William ContrerasMIL144600197777611.5%19.3%.166.306.266.353.432.342120-1.213.38.94.3
    18Trea TurnerPHI143627188971286.4%18.1%.157.323.283.333.440.3351133.713.67.24.3
    19Will SmithLAD124497206968211.6%19.5%.196.291.262.357.458.352126-1.514.010.84.3
    20Mookie BettsLAD143622218881910.7%11.6%.180.273.268.349.448.345122-0.615.54.74.2
    21Junior CamineroTBR149636378410466.8%19.5%.238.282.269.321.507.352127-0.619.4-0.94.1
    22Zach NetoLAA148634278675277.0%24.5%.199.298.251.322.451.3331131.611.07.34.1
    23Elly De La CruzCIN149640239278419.6%26.8%.191.328.258.332.449.3351104.212.06.04.0
    24Yordan AlvarezHOU131559297886312.6%16.9%.248.305.291.386.540.389153-1.533.7-13.94.0
    25Geraldo PerdomoARI1516491388672011.7%13.4%.133.288.263.356.396.3321120.710.17.24.0
    26Jackson MerrillSDP14360622778286.6%19.6%.190.304.269.320.459.3331140.510.36.33.8
    27Wyatt LangfordTEX1436132484742311.7%23.4%.198.296.251.343.449.3431221.317.2-2.83.6
    28Pete Crow-ArmstrongCHC147619238478335.6%24.2%.191.291.246.297.437.3141003.03.311.33.6
    29Jeremy PeñaHOU137590167665175.9%17.8%.149.311.273.327.422.3261091.07.66.93.6
    30Shea LangeliersATH12852529697657.4%22.7%.240.275.253.312.494.343120-0.412.24.63.5
    #NameTeamGPAHRRRBISBBB%K%ISOBABIPAVGOBPSLGwOBAwRC+BsROffDefWAR
    1Aaron JudgeNYY14563847108112917.9%24.6%.325.326.290.422.615.432182-1.560.0-6.27.7
    2Bobby Witt Jr.KCR1516592810092347.3%17.1%.225.315.291.347.516.3651363.331.112.06.7
    3Shohei OhtaniLAD149660461211092413.9%24.2%.315.313.283.386.598.4101671.253.2-14.06.3
    4Juan SotoNYM15567839109992118.4%17.9%.262.284.273.409.535.402161-0.248.6-13.95.9
    5Gunnar HendersonBAL1526602697822410.2%21.2%.207.311.270.349.477.3541302.525.86.75.6
    6Julio RodríguezSEA152660309591287.2%22.1%.206.311.271.332.478.3461301.824.96.85.6
    7Cal RaleighSEA1496193985100812.1%27.0%.265.251.229.328.494.348131-1.620.810.05.3
    8José RamírezCLE151649289289339.8%11.5%.212.270.273.347.485.3531292.124.01.34.9
    9Fernando Tatis Jr.SDP1496482999802610.9%19.8%.209.301.270.355.479.3591311.925.9-1.54.7
    10Ketel MarteARI140612288885511.0%16.2%.223.289.275.361.499.367136-0.625.50.24.7
    11Ronald Acuña Jr.ATL14462928105772513.6%21.4%.214.324.280.385.494.3791452.235.7-10.64.7
    12Kyle TuckerLAD1436203094882313.6%14.9%.230.274.269.371.498.3721401.130.5-6.54.6
    13Francisco LindorNYM142628259277238.9%18.4%.189.282.258.335.447.3391170.913.89.04.5
    14Corey SeagerTEX123526267176211.3%18.6%.226.293.273.360.499.364136-1.521.24.34.5
    15Vladimir Guerrero Jr.TOR153663299495511.3%13.7%.207.305.294.379.501.376144-1.333.0-13.04.4
    16Corbin CarrollARI1396062697773210.6%21.1%.234.291.257.344.491.3561294.725.4-3.24.3
    17William ContrerasMIL144600197777611.5%19.3%.166.306.266.353.432.342120-1.213.38.94.3
    18Trea TurnerPHI143627188971286.4%18.1%.157.323.283.333.440.3351133.713.67.24.3
    19Will SmithLAD124497206968211.6%19.5%.196.291.262.357.458.352126-1.514.010.84.3
    20Mookie BettsLAD143622218881910.7%11.6%.180.273.268.349.448.345122-0.615.54.74.2
    21Junior CamineroTBR149636378410466.8%19.5%.238.282.269.321.507.352127-0.619.4-0.94.1
    22Zach NetoLAA148634278675277.0%24.5%.199.298.251.322.451.3331131.611.07.34.1
    23Elly De La CruzCIN149640239278419.6%26.8%.191.328.258.332.449.3351104.212.06.04.0
    24Yordan AlvarezHOU131559297886312.6%16.9%.248.305.291.386.540.389153-1.533.7-13.94.0
    25Geraldo PerdomoARI1516491388672011.7%13.4%.133.288.263.356.396.3321120.710.17.24.0
    26Jackson MerrillSDP14360622778286.6%19.6%.190.304.269.320.459.3331140.510.36.33.8
    27Wyatt LangfordTEX1436132484742311.7%23.4%.198.296.251.343.449.3431221.317.2-2.83.6
    28Pete Crow-ArmstrongCHC147619238478335.6%24.2%.191.291.246.297.437.3141003.03.311.33.6
    29Jeremy PeñaHOU137590167665175.9%17.8%.149.311.273.327.422.3261091.07.66.93.6
    30Shea LangeliersATH12852529697657.4%22.7%.240.275.253.312.494.343120-0.412.24.63.5
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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.