[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

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

  • Steamer:
    Select
  • Overall - No Split
  • vs LHP
  • vs RHP
  • Steamer (Context Neutral):
    Select
  • Overall - No Split
  • vs LHP
  • vs RHP
  • 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 Preseason Projections
    New! Members Exclusive Data
    Steamer:
    Select
  • Overall - No Split
  • vs LHP
  • vs RHP
  • Steamer
    (Context Neutral):
    Select
  • Overall - No Split
  • vs LHP
  • vs RHP
  • Data Export [Members Only]
    #NameTeamGPAHRRRBISBBB%K%ISOBABIPAVGOBPSLGwOBAwRC+BsROffDefWAR
    1Vladimir Guerrero Jr.TOR154666319299410.3%14.1%.218.305.295.373.513.377151-2.736.0-13.34.6
    2Freddie FreemanLAD1496512394891111.5%16.0%.190.318.290.379.480.368140-0.230.3-10.94.2
    3Bryce HarperPHI143622278888912.9%21.5%.220.320.277.373.497.371139-1.727.0-9.83.9
    4Matt OlsonATL1556643389101111.8%23.8%.229.284.250.343.479.352125-1.518.5-11.23.0
    5Christian WalkerHOU14762230789059.7%22.6%.213.264.239.321.452.333119-0.613.1-7.12.8
    6Pete AlonsoNYM1536583688101410.1%23.3%.233.263.241.331.474.345124-2.016.5-12.72.7
    7Yandy DíazTBR141613167268110.0%14.9%.146.313.283.360.429.346124-2.814.7-11.92.4
    8Vinnie PasquantinoKCR13959622718428.9%13.1%.193.272.266.336.460.342122-1.913.4-11.02.3
    9Salvador PerezKCR14358524628605.3%21.7%.183.289.255.306.439.318105-2.41.30.12.2
    10Jake CronenworthSDP14360015696759.2%18.5%.150.275.240.321.389.312101-0.20.7-1.02.0
    11Triston CasasBOS140578267378112.9%26.8%.214.296.242.344.456.345121-1.812.0-13.01.9
    12Jake BurgerTEX14158231718216.2%26.7%.227.283.244.302.471.331116-1.010.0-11.31.9
    13Luis ArraezSDP1466405775875.6%5.4%.089.315.305.349.394.324109-0.66.5-11.21.7
    14Nathaniel LoweWSN141595156869211.3%21.8%.139.318.260.348.399.329112-2.36.0-9.91.6
    15Michael BuschCHC141578217272310.4%27.7%.180.303.238.324.418.324110-1.15.4-9.21.6
    16Paul GoldschmidtNYY14260923747589.4%25.6%.177.302.247.320.424.323109-0.36.2-11.01.6
    17Josh NaylorARI14059622749178.4%15.4%.179.279.263.330.442.331111-1.66.2-11.01.6
    18Spencer SteerCIN1415911970741710.0%20.9%.176.283.243.329.419.3271030.62.9-9.11.4
    19Luke RaleySEA119454195656116.8%30.4%.192.295.229.304.421.3161120.16.5-8.61.3
    20Spencer HorwitzPIT103424104846211.3%18.9%.145.308.262.353.407.334112-1.44.6-6.11.3
    21Ryan MountcastleBAL12551918596736.5%23.3%.170.308.260.310.430.319111-0.95.5-10.21.3
    22Jonathan ArandaTBR10540115514819.8%25.2%.182.305.250.334.431.333116-0.66.7-8.91.2
    23LaMonte Wade Jr.SFG109435125143213.6%21.0%.145.284.239.351.384.325110-1.14.2-7.91.1
    24Ryan O'HearnBAL10340113485237.7%17.9%.168.292.263.323.430.325115-0.96.0-9.21.1
    25Nolan SchanuelLAA134563116652811.7%16.4%.113.291.253.350.366.320107-1.33.1-11.81.0
    26Andrew VaughnCHW14260122647716.9%20.3%.177.284.252.312.430.321108-2.03.5-13.71.0
    27Carlos SantanaCLE132548185964310.8%17.5%.157.242.224.311.381.30599-1.2-1.7-8.50.8
    28Tyler BlackMIL79303735321210.8%23.4%.138.292.233.327.371.310980.2-0.6-2.90.7
    29Jeimer CandelarioCIN12049618576257.4%23.7%.182.282.238.304.420.31494-0.9-4.2-5.70.7
    30Ty FranceMIN853629383917.4%18.8%.137.292.252.329.389.317107-1.41.7-7.20.7
    #NameTeamGPAHRRRBISBBB%K%ISOBABIPAVGOBPSLGwOBAwRC+BsROffDefWAR
    1Vladimir Guerrero Jr.TOR154666319299410.3%14.1%.218.305.295.373.513.377151-2.736.0-13.34.6
    2Freddie FreemanLAD1496512394891111.5%16.0%.190.318.290.379.480.368140-0.230.3-10.94.2
    3Bryce HarperPHI143622278888912.9%21.5%.220.320.277.373.497.371139-1.727.0-9.83.9
    4Matt OlsonATL1556643389101111.8%23.8%.229.284.250.343.479.352125-1.518.5-11.23.0
    5Christian WalkerHOU14762230789059.7%22.6%.213.264.239.321.452.333119-0.613.1-7.12.8
    6Pete AlonsoNYM1536583688101410.1%23.3%.233.263.241.331.474.345124-2.016.5-12.72.7
    7Yandy DíazTBR141613167268110.0%14.9%.146.313.283.360.429.346124-2.814.7-11.92.4
    8Vinnie PasquantinoKCR13959622718428.9%13.1%.193.272.266.336.460.342122-1.913.4-11.02.3
    9Salvador PerezKCR14358524628605.3%21.7%.183.289.255.306.439.318105-2.41.30.12.2
    10Jake CronenworthSDP14360015696759.2%18.5%.150.275.240.321.389.312101-0.20.7-1.02.0
    11Triston CasasBOS140578267378112.9%26.8%.214.296.242.344.456.345121-1.812.0-13.01.9
    12Jake BurgerTEX14158231718216.2%26.7%.227.283.244.302.471.331116-1.010.0-11.31.9
    13Luis ArraezSDP1466405775875.6%5.4%.089.315.305.349.394.324109-0.66.5-11.21.7
    14Nathaniel LoweWSN141595156869211.3%21.8%.139.318.260.348.399.329112-2.36.0-9.91.6
    15Michael BuschCHC141578217272310.4%27.7%.180.303.238.324.418.324110-1.15.4-9.21.6
    16Paul GoldschmidtNYY14260923747589.4%25.6%.177.302.247.320.424.323109-0.36.2-11.01.6
    17Josh NaylorARI14059622749178.4%15.4%.179.279.263.330.442.331111-1.66.2-11.01.6
    18Spencer SteerCIN1415911970741710.0%20.9%.176.283.243.329.419.3271030.62.9-9.11.4
    19Luke RaleySEA119454195656116.8%30.4%.192.295.229.304.421.3161120.16.5-8.61.3
    20Spencer HorwitzPIT103424104846211.3%18.9%.145.308.262.353.407.334112-1.44.6-6.11.3
    21Ryan MountcastleBAL12551918596736.5%23.3%.170.308.260.310.430.319111-0.95.5-10.21.3
    22Jonathan ArandaTBR10540115514819.8%25.2%.182.305.250.334.431.333116-0.66.7-8.91.2
    23LaMonte Wade Jr.SFG109435125143213.6%21.0%.145.284.239.351.384.325110-1.14.2-7.91.1
    24Ryan O'HearnBAL10340113485237.7%17.9%.168.292.263.323.430.325115-0.96.0-9.21.1
    25Nolan SchanuelLAA134563116652811.7%16.4%.113.291.253.350.366.320107-1.33.1-11.81.0
    26Andrew VaughnCHW14260122647716.9%20.3%.177.284.252.312.430.321108-2.03.5-13.71.0
    27Carlos SantanaCLE132548185964310.8%17.5%.157.242.224.311.381.30599-1.2-1.7-8.50.8
    28Tyler BlackMIL79303735321210.8%23.4%.138.292.233.327.371.310980.2-0.6-2.90.7
    29Jeimer CandelarioCIN12049618576257.4%23.7%.182.282.238.304.420.31494-0.9-4.2-5.70.7
    30Ty FranceMIN853629383917.4%18.8%.137.292.252.329.389.317107-1.41.7-7.20.7
    of 3
    Page Size:
    1 - 30 of 72 results
    of 3
    Page Size:
    1 - 30 of 72 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.
    Quantcast

    Clicky