2025 Projections






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  • General Projections
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  • Context Neutral
    Steamer:
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  • Overall - No Split
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  • 600 PA / 200 IP
    3-Year
    Historical Projections
    New! Members Exclusive Data
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  • Splits - Steamer Projections
    New! Members Exclusive Data
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  • Overall - No Split
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  • Steamer Ros:
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  • Overall - No Split
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  • Steamer
    (Context Neutral):
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  • Data Export [Members Only]
    #NameTeamGPAHRRRBISBBB%K%ISOBABIPAVGOBPSLGwOBAwRC+BsROffDefWAR
    1Vladimir Guerrero Jr.TOR153665319299410.3%14.1%.219.306.296.373.515.378151-2.636.4-13.54.7
    2Freddie FreemanLAD142620228985911.5%16.0%.191.318.289.378.480.368140-0.228.6-10.34.0
    3Bryce HarperPHI144626288889912.9%21.5%.221.321.278.374.498.371139-1.727.5-9.94.0
    4Matt OlsonATL1546613389100111.8%23.9%.229.285.250.343.479.352125-1.518.6-11.13.0
    5Christian WalkerHOU13758728748559.8%22.6%.216.263.239.321.455.334120-0.612.9-6.72.7
    6Pete AlonsoNYM152653358799410.1%23.4%.233.260.239.329.472.343123-2.015.4-12.62.5
    7Yandy DíazTBR13960416716719.9%14.8%.147.314.285.361.431.347125-2.715.1-11.72.4
    8Vinnie PasquantinoKCR13758722708328.9%13.1%.194.272.267.336.461.343122-1.913.5-10.92.3
    9Willson ContrerasSTL129545226967610.6%24.7%.190.300.248.348.438.344123-1.413.3-9.62.3
    10Salvador PerezKCR14157824628505.3%21.7%.184.289.256.306.440.319106-2.41.6-0.12.1
    11Jake CronenworthSDP13857914676559.1%18.5%.151.275.240.321.391.313102-0.21.0-1.02.0
    12Triston CasasBOS138571267277112.9%26.9%.214.296.243.344.456.346121-1.811.9-12.21.9
    13Jake BurgerTEX13957931718116.2%26.7%.227.284.245.303.472.331117-1.010.2-11.21.9
    14Luis ArraezSDP1446295755775.6%5.4%.090.316.306.349.396.324110-0.66.7-11.21.7
    15Nathaniel LoweWSN140587156767211.3%21.8%.139.319.261.348.399.330112-2.36.1-9.81.6
    16Paul GoldschmidtNYY14060122737489.4%25.6%.177.303.247.321.425.324109-0.36.3-10.81.6
    17Josh NaylorARI13858621728978.4%15.5%.180.280.263.331.443.332111-1.66.3-10.71.6
    18Michael BuschCHC133544196768210.4%27.7%.181.303.238.324.419.324110-1.05.3-9.01.5
    19Luke RaleySEA122471205858116.8%30.4%.191.296.230.305.421.3161120.16.8-8.41.5
    20Ryan MountcastleBAL12150818586636.5%23.3%.170.309.260.310.431.319111-0.95.5-9.91.3
    21Spencer HorwitzPIT9740094643211.2%18.9%.146.309.262.353.409.335112-1.44.6-5.61.3
    22Jonathan ArandaTBR10540916525019.8%25.0%.183.306.251.335.435.335117-0.77.4-9.41.2
    23LaMonte Wade Jr.LAA112449125343213.6%21.0%.145.286.240.351.385.325111-1.14.5-8.11.2
    24Ryan O'HearnBAL10440213495237.7%17.9%.168.293.263.323.431.326116-0.96.3-9.21.1
    25Nolan SchanuelLAA132557106651811.7%16.4%.113.292.254.351.367.320107-1.33.5-11.61.1
    26Spencer SteerCIN1184981660631410.0%20.9%.175.283.244.329.419.3271030.42.5-8.91.1
    27Andrew VaughnMIL14159722647716.9%20.3%.178.285.253.312.431.322108-2.03.8-13.61.0
    28Endy RodríguezPIT873458403827.9%20.0%.143.295.249.312.392.30894-0.5-2.81.01.0
    29Kyle ManzardoCLE111444175155210.0%22.5%.191.271.236.317.427.322112-0.85.3-10.71.0
    30Carlos SantanaCLE128534185763310.8%17.5%.158.243.224.311.382.305100-1.2-1.3-8.30.9
    #NameTeamGPAHRRRBISBBB%K%ISOBABIPAVGOBPSLGwOBAwRC+BsROffDefWAR
    1Vladimir Guerrero Jr.TOR153665319299410.3%14.1%.219.306.296.373.515.378151-2.636.4-13.54.7
    2Freddie FreemanLAD142620228985911.5%16.0%.191.318.289.378.480.368140-0.228.6-10.34.0
    3Bryce HarperPHI144626288889912.9%21.5%.221.321.278.374.498.371139-1.727.5-9.94.0
    4Matt OlsonATL1546613389100111.8%23.9%.229.285.250.343.479.352125-1.518.6-11.13.0
    5Christian WalkerHOU13758728748559.8%22.6%.216.263.239.321.455.334120-0.612.9-6.72.7
    6Pete AlonsoNYM152653358799410.1%23.4%.233.260.239.329.472.343123-2.015.4-12.62.5
    7Yandy DíazTBR13960416716719.9%14.8%.147.314.285.361.431.347125-2.715.1-11.72.4
    8Vinnie PasquantinoKCR13758722708328.9%13.1%.194.272.267.336.461.343122-1.913.5-10.92.3
    9Willson ContrerasSTL129545226967610.6%24.7%.190.300.248.348.438.344123-1.413.3-9.62.3
    10Salvador PerezKCR14157824628505.3%21.7%.184.289.256.306.440.319106-2.41.6-0.12.1
    11Jake CronenworthSDP13857914676559.1%18.5%.151.275.240.321.391.313102-0.21.0-1.02.0
    12Triston CasasBOS138571267277112.9%26.9%.214.296.243.344.456.346121-1.811.9-12.21.9
    13Jake BurgerTEX13957931718116.2%26.7%.227.284.245.303.472.331117-1.010.2-11.21.9
    14Luis ArraezSDP1446295755775.6%5.4%.090.316.306.349.396.324110-0.66.7-11.21.7
    15Nathaniel LoweWSN140587156767211.3%21.8%.139.319.261.348.399.330112-2.36.1-9.81.6
    16Paul GoldschmidtNYY14060122737489.4%25.6%.177.303.247.321.425.324109-0.36.3-10.81.6
    17Josh NaylorARI13858621728978.4%15.5%.180.280.263.331.443.332111-1.66.3-10.71.6
    18Michael BuschCHC133544196768210.4%27.7%.181.303.238.324.419.324110-1.05.3-9.01.5
    19Luke RaleySEA122471205858116.8%30.4%.191.296.230.305.421.3161120.16.8-8.41.5
    20Ryan MountcastleBAL12150818586636.5%23.3%.170.309.260.310.431.319111-0.95.5-9.91.3
    21Spencer HorwitzPIT9740094643211.2%18.9%.146.309.262.353.409.335112-1.44.6-5.61.3
    22Jonathan ArandaTBR10540916525019.8%25.0%.183.306.251.335.435.335117-0.77.4-9.41.2
    23LaMonte Wade Jr.LAA112449125343213.6%21.0%.145.286.240.351.385.325111-1.14.5-8.11.2
    24Ryan O'HearnBAL10440213495237.7%17.9%.168.293.263.323.431.326116-0.96.3-9.21.1
    25Nolan SchanuelLAA132557106651811.7%16.4%.113.292.254.351.367.320107-1.33.5-11.61.1
    26Spencer SteerCIN1184981660631410.0%20.9%.175.283.244.329.419.3271030.42.5-8.91.1
    27Andrew VaughnMIL14159722647716.9%20.3%.178.285.253.312.431.322108-2.03.8-13.61.0
    28Endy RodríguezPIT873458403827.9%20.0%.143.295.249.312.392.30894-0.5-2.81.01.0
    29Kyle ManzardoCLE111444175155210.0%22.5%.191.271.236.317.427.322112-0.85.3-10.71.0
    30Carlos SantanaCLE128534185763310.8%17.5%.158.243.224.311.382.305100-1.2-1.3-8.30.9
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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. Peak version and 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.