2024 Projections

Data Export [Members Only]
#NameTeamGPAHRRRBISBBB%K%ISOBABIPAVGOBPSLGwOBAwRC+BsROffDefWAR
1Bo BichetteTOR146639228683115.6%19.7%.176.335.291.333.467.343120-0.315.11.63.8
2Vladimir Guerrero Jr.TOR152659318998610.1%15.0%.218.293.283.362.501.367137-2.526.7-13.43.6
3Alejandro KirkTOR103392114245010.3%11.2%.142.279.268.350.410.333113-2.33.88.72.6
4George SpringerTOR134588228270149.3%18.7%.178.288.259.334.436.334114-0.19.7-4.12.5
5Daulton VarshoTOR138554227168168.1%23.2%.192.267.233.301.425.312990.70.12.52.1
6Davis SchneiderTOR98399165049511.9%28.1%.204.291.232.331.436.333113-0.75.60.82.0
7Danny JansenTOR7829215374418.7%20.4%.225.246.235.314.461.331112-0.73.54.41.8
8Kevin KiermaierTOR10540575039117.2%23.2%.130.305.243.304.373.296870.0-6.15.11.3
9Justin TurnerTOR11750015606538.4%17.8%.155.286.256.328.411.322105-2.31.0-5.41.2
10Cavan BiggioTOR9937594839512.2%26.3%.143.293.226.329.369.31097-0.3-1.5-2.70.8
11Isiah Kiner-FalefaTOR9436344032146.5%16.5%.085.301.257.312.342.290830.2-7.12.00.7
12Ernie ClementTOR481522171525.4%10.4%.113.273.258.302.371.29385-0.2-2.90.70.3
13Spencer HorwitzTOR2176288011.2%20.4%.126.310.255.343.381.320105-0.20.3-0.80.2
14Orelvis MartinezTOR301235131608.0%27.0%.183.258.216.285.399.29587-0.2-2.10.00.2
15Addison BargerTOR176928708.2%26.3%.147.298.233.304.381.29990-0.1-0.90.50.2
16Daniel VogelbachTOR3211651315014.0%24.8%.182.274.230.340.411.330111-0.51.0-3.50.1
17Nathan LukesTOR276317616.7%19.1%.100.308.255.311.355.29285-0.1-1.2-0.10.1
18Leo JimenezTOR83114307.9%19.8%.114.290.241.320.355.30191-0.1-0.40.10.1
19Damiano PalmegianiTOR92813308.3%29.0%.155.278.215.288.370.288820.0-0.60.10.0
20Joey VottoTOR5420782226011.5%27.4%.182.262.213.314.395.31198-1.0-1.4-5.40.0
21Brian ServenTOR196316605.2%30.2%.112.248.187.241.299.23948-0.1-4.11.70.0
#NameTeamGPAHRRRBISBBB%K%ISOBABIPAVGOBPSLGwOBAwRC+BsROffDefWAR
1Bo BichetteTOR146639228683115.6%19.7%.176.335.291.333.467.343120-0.315.11.63.8
2Vladimir Guerrero Jr.TOR152659318998610.1%15.0%.218.293.283.362.501.367137-2.526.7-13.43.6
3Alejandro KirkTOR103392114245010.3%11.2%.142.279.268.350.410.333113-2.33.88.72.6
4George SpringerTOR134588228270149.3%18.7%.178.288.259.334.436.334114-0.19.7-4.12.5
5Daulton VarshoTOR138554227168168.1%23.2%.192.267.233.301.425.312990.70.12.52.1
6Davis SchneiderTOR98399165049511.9%28.1%.204.291.232.331.436.333113-0.75.60.82.0
7Danny JansenTOR7829215374418.7%20.4%.225.246.235.314.461.331112-0.73.54.41.8
8Kevin KiermaierTOR10540575039117.2%23.2%.130.305.243.304.373.296870.0-6.15.11.3
9Justin TurnerTOR11750015606538.4%17.8%.155.286.256.328.411.322105-2.31.0-5.41.2
10Cavan BiggioTOR9937594839512.2%26.3%.143.293.226.329.369.31097-0.3-1.5-2.70.8
11Isiah Kiner-FalefaTOR9436344032146.5%16.5%.085.301.257.312.342.290830.2-7.12.00.7
12Ernie ClementTOR481522171525.4%10.4%.113.273.258.302.371.29385-0.2-2.90.70.3
13Spencer HorwitzTOR2176288011.2%20.4%.126.310.255.343.381.320105-0.20.3-0.80.2
14Orelvis MartinezTOR301235131608.0%27.0%.183.258.216.285.399.29587-0.2-2.10.00.2
15Addison BargerTOR176928708.2%26.3%.147.298.233.304.381.29990-0.1-0.90.50.2
16Daniel VogelbachTOR3211651315014.0%24.8%.182.274.230.340.411.330111-0.51.0-3.50.1
17Nathan LukesTOR276317616.7%19.1%.100.308.255.311.355.29285-0.1-1.2-0.10.1
18Leo JimenezTOR83114307.9%19.8%.114.290.241.320.355.30191-0.1-0.40.10.1
19Damiano PalmegianiTOR92813308.3%29.0%.155.278.215.288.370.288820.0-0.60.10.0
20Joey VottoTOR5420782226011.5%27.4%.182.262.213.314.395.31198-1.0-1.4-5.40.0
21Brian ServenTOR196316605.2%30.2%.112.248.187.241.299.23948-0.1-4.11.70.0
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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

  • 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.