2025 Projections






ZiPS:
Select
  • 2024
  • 2023
  • 2022
  • 2021
  • 2020
  • 2019
  • 2018
  • 2017
  • 2016
  • 2015
  • 2014
  • 2013
  • 2012
  • 2011
  • 2010
  • Steamer:
    Select
  • 2024
  • 2023
  • 2022
  • 2021
  • 2020
  • 2019
  • 2018
  • 2017
  • 2016
  • 2015
  • 2014
  • 2013
  • 2012

  • General Projections
    Steamer:
    Select
  • Overall - No Split
  • as SP
  • as RP
  • vs RHB
  • vs LHB
  • vs RHB as SP
  • vs LHB as SP
  • vs RHB as RP
  • vs LHB as RP
  • Steamer (RoS):
    Select
  • Overall - No Split
  • as SP
  • as RP
  • vs RHB
  • vs LHB
  • vs RHB as SP
  • vs LHB as SP
  • vs RHB as RP
  • vs LHB as RP
  • Context Neutral
    Steamer:
    Select
  • Overall - No Split
  • as SP
  • as RP
  • vs RHB
  • vs LHB
  • vs RHB as SP
  • vs LHB as SP
  • vs RHB as RP
  • vs LHB as RP
  • Steamer (RoS)
    Select
  • Overall - No Split
  • as SP
  • as RP
  • vs RHB
  • vs LHB
  • vs RHB as SP
  • vs LHB as SP
  • vs RHB as RP
  • vs LHB as RP
  • 600 PA / 200 IP
    3-Year
    Historical Projections
    New! Members Exclusive Data
    ZiPS:
    Select
  • 2024
  • 2023
  • 2022
  • 2021
  • 2020
  • 2019
  • 2018
  • 2017
  • 2016
  • 2015
  • 2014
  • 2013
  • 2012
  • 2011
  • 2010
  • Steamer:
    Select
  • 2024
  • 2023
  • 2022
  • 2021
  • 2020
  • 2019
  • 2018
  • 2017
  • 2016
  • 2015
  • 2014
  • 2013
  • 2012
  • Splits - Steamer Projections
    New! Members Exclusive Data
    Steamer:
    Select
  • Overall - No Split
  • as SP
  • as RP
  • vs RHB
  • vs LHB
  • vs RHB as SP
  • vs LHB as SP
  • vs RHB as RP
  • vs LHB as RP
  • Steamer Ros:
    Select
  • Overall - No Split
  • as SP
  • as RP
  • vs RHB
  • vs LHB
  • vs RHB as SP
  • vs LHB as SP
  • vs RHB as RP
  • vs LHB as RP
  • Steamer
    (Context Neutral):
    Select
  • Overall - No Split
  • as SP
  • as RP
  • vs RHB
  • vs LHB
  • vs RHB as SP
  • vs LHB as SP
  • vs RHB as RP
  • vs LHB as RP
  • Steamer RoS
    (Context Neutral):
    Select
  • Overall - No Split
  • as SP
  • as RP
  • vs RHB
  • vs LHB
  • vs RHB as SP
  • vs LHB as SP
  • vs RHB as RP
  • vs LHB as RP
  • Data Export [Members Only]
    #NameTeamWLSVGGSIPK/9BB/9HR/9BABIPLOB%GB%ERAFIPWAR
    1Paul SkenesPIT12602929173.111.202.440.75.29376.2%2.782.695.3
    2Zack WheelerPHI14803030192.19.632.250.99.27973.6%3.283.334.6
    3Logan WebbSFG131003030196.07.672.030.69.29871.5%3.423.234.3
    4Chris SaleATL12702626153.010.802.330.91.29774.7%3.153.023.6
    5Dylan CeaseSDP12903131182.110.603.351.02.28173.5%3.513.503.5
    6Yoshinobu YamamotoLAD11602525150.19.552.280.95.28872.2%3.423.263.3
    7Corbin BurnesARI12902929183.28.852.570.97.28672.7%3.553.573.3
    8Blake SnellLAD11602828156.211.733.941.00.27675.5%3.333.393.3
    9Justin SteeleCHC11802929167.18.742.460.91.29272.8%3.493.463.2
    10Michael KingSDP12802929169.29.863.151.01.29174.3%3.543.623.2
    11Tyler GlasnowLAD9602222134.111.162.641.06.28372.5%3.423.153.2
    12Sonny GraySTL10802626156.19.522.540.97.29572.1%3.593.413.1
    13Cristopher SánchezPHI10802828167.07.782.390.87.29672.7%3.583.593.1
    14Spencer SchwellenbachATL12802828166.08.782.011.05.29171.0%3.693.533.0
    15Aaron NolaPHI12903030185.08.892.151.28.29072.1%3.893.853.0
    16Sandy AlcantaraMIA9902727172.17.812.290.97.29371.6%3.733.713.0
    17Spencer StriderATL10602222123.112.063.081.03.29773.0%3.473.112.9
    18Hunter GreeneCIN9802525151.110.603.251.30.27672.3%3.894.002.8
    19Freddy PeraltaMIL10902929165.210.333.251.24.27973.3%3.783.892.8
    20Reynaldo LópezATL10702929158.19.553.011.04.29273.3%3.673.642.7
    21Shota ImanagaCHC11702727167.18.941.921.38.28275.1%3.643.902.7
    22Zac GallenARI12802828167.19.022.751.02.29471.6%3.793.662.6
    23Kodai SengaNYM11702926150.29.923.941.06.28374.3%3.723.972.5
    24Roki SasakiLAD9602222128.110.442.881.10.28273.6%3.523.552.4
    25MacKenzie GoreWSN101003030164.19.603.401.10.29673.1%3.883.882.4
    26Mitch KellerPIT101102929176.28.242.731.11.30169.4%4.244.032.4
    27Ranger SuárezPHI9702823137.18.132.780.93.29472.7%3.693.732.4
    28Nick LodoloCIN8802424136.29.762.841.21.29771.8%3.984.002.4
    29Erick FeddeSTL91002828164.17.832.751.18.29071.5%4.094.142.4
    30Brady SingerCIN91002929168.28.352.651.30.30370.4%4.384.242.3
    #NameTeamWLSVGGSIPK/9BB/9HR/9BABIPLOB%GB%ERAFIPWAR
    1Paul SkenesPIT12602929173.111.202.440.75.29376.2%2.782.695.3
    2Zack WheelerPHI14803030192.19.632.250.99.27973.6%3.283.334.6
    3Logan WebbSFG131003030196.07.672.030.69.29871.5%3.423.234.3
    4Chris SaleATL12702626153.010.802.330.91.29774.7%3.153.023.6
    5Dylan CeaseSDP12903131182.110.603.351.02.28173.5%3.513.503.5
    6Yoshinobu YamamotoLAD11602525150.19.552.280.95.28872.2%3.423.263.3
    7Corbin BurnesARI12902929183.28.852.570.97.28672.7%3.553.573.3
    8Blake SnellLAD11602828156.211.733.941.00.27675.5%3.333.393.3
    9Justin SteeleCHC11802929167.18.742.460.91.29272.8%3.493.463.2
    10Michael KingSDP12802929169.29.863.151.01.29174.3%3.543.623.2
    11Tyler GlasnowLAD9602222134.111.162.641.06.28372.5%3.423.153.2
    12Sonny GraySTL10802626156.19.522.540.97.29572.1%3.593.413.1
    13Cristopher SánchezPHI10802828167.07.782.390.87.29672.7%3.583.593.1
    14Spencer SchwellenbachATL12802828166.08.782.011.05.29171.0%3.693.533.0
    15Aaron NolaPHI12903030185.08.892.151.28.29072.1%3.893.853.0
    16Sandy AlcantaraMIA9902727172.17.812.290.97.29371.6%3.733.713.0
    17Spencer StriderATL10602222123.112.063.081.03.29773.0%3.473.112.9
    18Hunter GreeneCIN9802525151.110.603.251.30.27672.3%3.894.002.8
    19Freddy PeraltaMIL10902929165.210.333.251.24.27973.3%3.783.892.8
    20Reynaldo LópezATL10702929158.19.553.011.04.29273.3%3.673.642.7
    21Shota ImanagaCHC11702727167.18.941.921.38.28275.1%3.643.902.7
    22Zac GallenARI12802828167.19.022.751.02.29471.6%3.793.662.6
    23Kodai SengaNYM11702926150.29.923.941.06.28374.3%3.723.972.5
    24Roki SasakiLAD9602222128.110.442.881.10.28273.6%3.523.552.4
    25MacKenzie GoreWSN101003030164.19.603.401.10.29673.1%3.883.882.4
    26Mitch KellerPIT101102929176.28.242.731.11.30169.4%4.244.032.4
    27Ranger SuárezPHI9702823137.18.132.780.93.29472.7%3.693.732.4
    28Nick LodoloCIN8802424136.29.762.841.21.29771.8%3.984.002.4
    29Erick FeddeSTL91002828164.17.832.751.18.29071.5%4.094.142.4
    30Brady SingerCIN91002929168.28.352.651.30.30370.4%4.384.242.3
    of 15
    Page Size:
    1 - 30 of 426 results
    of 15
    Page Size:
    1 - 30 of 426 results
    • 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.