2026 Projections






ZiPS:
Select
  • 2025
  • 2024
  • 2023
  • 2022
  • 2021
  • 2020
  • 2019
  • 2018
  • 2017
  • 2016
  • 2015
  • 2014
  • 2013
  • 2012
  • 2011
  • 2010
  • Steamer:
    Select
  • 2025
  • 2024
  • 2023
  • 2022
  • 2021
  • 2020
  • 2019
  • 2018
  • 2017
  • 2016
  • 2015
  • 2014
  • 2013
  • 2012

  • General Projections
    Steamer:
    Select
  • Overall - No Split
  • vs LHP
  • vs RHP
  • Steamer (RoS):
    Select
  • Overall - No Split
  • vs LHP
  • vs RHP
  • Context Neutral
    Steamer:
    Select
  • Overall - No Split
  • vs LHP
  • vs RHP
  • Steamer (RoS)
    Select
  • Overall - No Split
  • vs LHP
  • vs RHP
  • 600 PA / 200 IP
    3-Year
    Historical Projections
    Members Exclusive Data
    ZiPS:
    Select
  • 2025
  • 2024
  • 2023
  • 2022
  • 2021
  • 2020
  • 2019
  • 2018
  • 2017
  • 2016
  • 2015
  • 2014
  • 2013
  • 2012
  • 2011
  • 2010
  • Steamer:
    Select
  • 2025
  • 2024
  • 2023
  • 2022
  • 2021
  • 2020
  • 2019
  • 2018
  • 2017
  • 2016
  • 2015
  • 2014
  • 2013
  • 2012
  • Splits - Steamer Projections
    Members Exclusive Data
    Steamer:
    Select
  • Overall - No Split
  • vs LHP
  • vs RHP
  • Steamer Ros:
    Select
  • Overall - No Split
  • vs LHP
  • vs RHP
  • Steamer
    (Context Neutral):
    Select
  • Overall - No Split
  • vs LHP
  • vs RHP
  • Steamer RoS
    (Context Neutral):
    Select
  • Overall - No Split
  • vs LHP
  • vs RHP
  • Data Export [Members Only]
    #NameTeamGPAHRRRBISBBB%K%ISOBABIPAVGOBPSLGwOBAwRC+BsROffDefWAR
    1Ezequiel TovarCOL14762620767184.9%24.9%.172.322.261.300.433.31588-0.1-9.310.62.3
    2Hunter GoodmanCOL13755527698526.0%26.1%.226.296.252.303.478.333100-0.8-0.7-1.31.7
    3Brenton DoyleCOL137561186864216.3%26.6%.164.310.247.297.411.306821.4-10.98.51.7
    4Willi CastroCOL129527126751157.9%22.8%.144.313.252.328.396.318900.4-5.9-2.50.9
    5Kyle KarrosCOL672654302528.5%23.5%.120.327.257.326.377.30983-0.3-5.53.50.7
    6Braxton FulfordCOL521906222227.0%27.4%.161.304.237.304.398.30682-0.1-4.24.50.7
    7Edouard JulienCOL7629573328312.1%29.0%.141.332.241.339.382.31991-0.5-3.7-1.30.5
    8Tyler FreemanCOL7430143827117.6%13.4%.112.306.274.350.385.326950.3-1.4-5.00.4
    9Ryan RitterCOL592285262347.0%26.3%.132.322.244.311.376.302790.0-5.71.70.4
    10Mickey MoniakCOL11847220606595.2%25.2%.208.304.255.299.464.32595-0.4-3.4-8.90.4
    11Jake McCarthyCOL9337064533156.4%17.4%.122.304.260.319.382.307821.4-6.3-2.60.3
    12Jordan BeckCOL131541156358167.8%28.7%.157.327.247.309.403.310840.4-9.6-6.00.2
    13Andrew KniznerCOL311122111007.1%21.3%.100.258.214.284.313.26775-0.1-3.41.70.2
    14Brett SullivanCOL134414416.5%20.2%.129.265.226.279.355.276610.0-2.11.30.1
    15Adael AmadorCOL381433161449.0%17.9%.111.282.240.316.352.29776-0.1-4.2-0.60.0
    16Kyle McCannCOL103313408.1%33.8%.139.292.208.279.347.27661-0.1-1.60.40.0
    17Sterlin ThompsonCOL72603306.9%23.7%.120.316.249.306.369.297750.0-0.8-0.30.0
    18Charlie CondonCOL431725192017.7%28.5%.159.313.239.310.399.31084-0.2-3.4-3.5-0.1
    19TJ RumfieldCOL662676302928.0%20.4%.133.297.250.318.383.30783-0.4-5.9-4.5-0.2
    20Kris BryantCOL197528808.3%25.9%.129.306.238.314.366.30279-0.1-2.1-2.1-0.2
    21Troy JohnstonCOL592215252466.6%21.1%.143.299.250.310.393.307820.1-4.6-4.7-0.2
    22Zac VeenCOL321193131247.2%25.3%.142.298.236.296.378.294730.1-3.6-2.5-0.2
    #NameTeamGPAHRRRBISBBB%K%ISOBABIPAVGOBPSLGwOBAwRC+BsROffDefWAR
    1Ezequiel TovarCOL14762620767184.9%24.9%.172.322.261.300.433.31588-0.1-9.310.62.3
    2Hunter GoodmanCOL13755527698526.0%26.1%.226.296.252.303.478.333100-0.8-0.7-1.31.7
    3Brenton DoyleCOL137561186864216.3%26.6%.164.310.247.297.411.306821.4-10.98.51.7
    4Willi CastroCOL129527126751157.9%22.8%.144.313.252.328.396.318900.4-5.9-2.50.9
    5Kyle KarrosCOL672654302528.5%23.5%.120.327.257.326.377.30983-0.3-5.53.50.7
    6Braxton FulfordCOL521906222227.0%27.4%.161.304.237.304.398.30682-0.1-4.24.50.7
    7Edouard JulienCOL7629573328312.1%29.0%.141.332.241.339.382.31991-0.5-3.7-1.30.5
    8Tyler FreemanCOL7430143827117.6%13.4%.112.306.274.350.385.326950.3-1.4-5.00.4
    9Ryan RitterCOL592285262347.0%26.3%.132.322.244.311.376.302790.0-5.71.70.4
    10Mickey MoniakCOL11847220606595.2%25.2%.208.304.255.299.464.32595-0.4-3.4-8.90.4
    11Jake McCarthyCOL9337064533156.4%17.4%.122.304.260.319.382.307821.4-6.3-2.60.3
    12Jordan BeckCOL131541156358167.8%28.7%.157.327.247.309.403.310840.4-9.6-6.00.2
    13Andrew KniznerCOL311122111007.1%21.3%.100.258.214.284.313.26775-0.1-3.41.70.2
    14Brett SullivanCOL134414416.5%20.2%.129.265.226.279.355.276610.0-2.11.30.1
    15Adael AmadorCOL381433161449.0%17.9%.111.282.240.316.352.29776-0.1-4.2-0.60.0
    16Kyle McCannCOL103313408.1%33.8%.139.292.208.279.347.27661-0.1-1.60.40.0
    17Sterlin ThompsonCOL72603306.9%23.7%.120.316.249.306.369.297750.0-0.8-0.30.0
    18Charlie CondonCOL431725192017.7%28.5%.159.313.239.310.399.31084-0.2-3.4-3.5-0.1
    19TJ RumfieldCOL662676302928.0%20.4%.133.297.250.318.383.30783-0.4-5.9-4.5-0.2
    20Kris BryantCOL197528808.3%25.9%.129.306.238.314.366.30279-0.1-2.1-2.1-0.2
    21Troy JohnstonCOL592215252466.6%21.1%.143.299.250.310.393.307820.1-4.6-4.7-0.2
    22Zac VeenCOL321193131247.2%25.3%.142.298.236.296.378.294730.1-3.6-2.5-0.2
    of 1
    Page Size:
    1 - 22 of 22 results
    of 1
    Page Size:
    1 - 22 of 22 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, 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.