2024 Projections

Data Export [Members Only]
#NameTeamWLSVGGSIPK/9BB/9HR/9BABIPLOB%GB%ERAFIPWAR
1Dylan CeaseSDP10803030171.110.513.821.13.29473.4%3.873.942.9
2Michael KingSDP9703424139.29.963.020.98.29573.3%3.563.602.8
3Joe MusgroveSDP10802525149.08.962.301.15.28973.1%3.663.902.5
4Yu DarvishSDP9802323139.09.142.451.25.28769.4%4.094.002.4
5Jhony BritoSDP760341697.17.172.751.24.28571.1%4.214.500.9
6Matt WaldronSDP450211383.27.102.771.36.29167.9%4.724.690.9
7Yuki MatsuiSDP32858060.211.593.911.05.29376.4%3.423.620.7
8Randy VásquezSDP44027971.07.973.751.16.28473.0%4.104.620.6
9Tom CosgroveSDP22155057.28.663.641.12.27173.6%3.794.340.3
10Robert SuarezSDP442359062.29.573.461.20.27674.1%3.754.140.3
11Enyel De Los SantosSDP42059061.19.303.501.16.29473.5%3.944.190.2
12Wandy PeraltaSDP33257056.08.414.020.92.28474.6%3.674.230.2
13Drew CarltonSDP11014016.28.272.441.11.28069.4%3.943.940.1
14Adrian MorejonSDP21030033.28.613.381.14.30571.3%4.284.220.1
15Robby SnellingSDP1103313.27.403.651.33.28570.0%4.634.820.1
16Stephen KolekSDP22034037.27.973.811.02.29666.0%4.764.420.1
17Alek JacobSDP11022024.08.362.991.22.29271.4%4.164.280.1
18Tommy NanceSDP11012012.19.303.801.09.30370.8%4.284.220.1
19Glenn OttoSDP22025233.18.644.181.31.28670.1%4.624.780.0
20Jackson WolfSDP11013016.07.803.001.25.29368.7%4.524.440.0
21Jay GroomeSDP1109320.07.594.851.34.29470.8%4.965.270.0
22Logan GillaspieSDP11014014.07.622.941.25.30070.2%4.464.560.0
23Kevin KoppsSDP00011011.17.584.351.07.29570.6%4.544.760.0
24Austin DavisSDP000707.18.505.331.08.26761.0%5.464.900.0
25Sean ReynoldsSDP11017018.18.355.471.11.29468.1%5.075.00-0.1
26Jeremiah EstradaSDP11041043.110.505.461.42.27674.9%4.344.91-0.1
27Luis PatiñoSDP12021130.17.224.811.49.28471.3%5.015.52-0.2
#NameTeamWLSVGGSIPK/9BB/9HR/9BABIPLOB%GB%ERAFIPWAR
1Dylan CeaseSDP10803030171.110.513.821.13.29473.4%3.873.942.9
2Michael KingSDP9703424139.29.963.020.98.29573.3%3.563.602.8
3Joe MusgroveSDP10802525149.08.962.301.15.28973.1%3.663.902.5
4Yu DarvishSDP9802323139.09.142.451.25.28769.4%4.094.002.4
5Jhony BritoSDP760341697.17.172.751.24.28571.1%4.214.500.9
6Matt WaldronSDP450211383.27.102.771.36.29167.9%4.724.690.9
7Yuki MatsuiSDP32858060.211.593.911.05.29376.4%3.423.620.7
8Randy VásquezSDP44027971.07.973.751.16.28473.0%4.104.620.6
9Tom CosgroveSDP22155057.28.663.641.12.27173.6%3.794.340.3
10Robert SuarezSDP442359062.29.573.461.20.27674.1%3.754.140.3
11Enyel De Los SantosSDP42059061.19.303.501.16.29473.5%3.944.190.2
12Wandy PeraltaSDP33257056.08.414.020.92.28474.6%3.674.230.2
13Drew CarltonSDP11014016.28.272.441.11.28069.4%3.943.940.1
14Adrian MorejonSDP21030033.28.613.381.14.30571.3%4.284.220.1
15Robby SnellingSDP1103313.27.403.651.33.28570.0%4.634.820.1
16Stephen KolekSDP22034037.27.973.811.02.29666.0%4.764.420.1
17Alek JacobSDP11022024.08.362.991.22.29271.4%4.164.280.1
18Tommy NanceSDP11012012.19.303.801.09.30370.8%4.284.220.1
19Glenn OttoSDP22025233.18.644.181.31.28670.1%4.624.780.0
20Jackson WolfSDP11013016.07.803.001.25.29368.7%4.524.440.0
21Jay GroomeSDP1109320.07.594.851.34.29470.8%4.965.270.0
22Logan GillaspieSDP11014014.07.622.941.25.30070.2%4.464.560.0
23Kevin KoppsSDP00011011.17.584.351.07.29570.6%4.544.760.0
24Austin DavisSDP000707.18.505.331.08.26761.0%5.464.900.0
25Sean ReynoldsSDP11017018.18.355.471.11.29468.1%5.075.00-0.1
26Jeremiah EstradaSDP11041043.110.505.461.42.27674.9%4.344.91-0.1
27Luis PatiñoSDP12021130.17.224.811.49.28471.3%5.015.52-0.2
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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.