2024 Projections

Data Export [Members Only]
#NameTeamWLSVGGSIPK/9BB/9HR/9BABIPLOB%GB%ERAFIPWAR
1Cole RagansKCR10902828162.09.713.691.04.29472.8%3.873.922.7
2Brady SingerKCR8902828156.07.622.731.05.30967.6%4.514.162.2
3Seth LugoKCR8902726144.07.862.581.20.30369.8%4.344.222.0
4Michael WachaKCR8702323130.27.612.701.33.29169.8%4.434.491.6
5Daniel Lynch IVKCR460211586.07.163.171.36.29868.6%4.844.800.8
6John SchreiberKCR33356060.09.413.420.90.29572.7%3.723.780.6
7Alec MarshKCR5803016102.28.844.101.34.31166.9%5.194.800.6
8Angel ZerpaKCR33039458.27.572.721.12.30469.8%4.324.240.5
9Chris StrattonKCR33162067.18.543.301.10.30770.1%4.344.150.4
10James McArthurKCR331057063.18.592.991.01.30569.7%4.163.980.4
11Jordan LylesKCR570441296.06.642.561.63.29565.1%5.325.100.3
12Nick AndersonKCR33249050.28.272.781.27.30170.8%4.304.270.3
13Will SmithKCR241562061.08.923.421.25.29269.3%4.444.330.2
14John McMillonKCR33145047.210.805.831.03.29971.5%4.464.390.2
15Zach DaviesKCR23013843.27.003.791.41.30167.7%5.215.090.2
16Josh TaylorKCR12025024.29.903.741.19.32268.6%4.694.130.2
17Kris BubicKCR1206421.08.153.741.24.32270.1%4.844.630.2
18Anthony VenezianoKCR11020229.27.273.671.15.30369.1%4.734.660.2
19Carlos HernándezKCR23044150.28.993.961.20.30168.2%4.714.420.1
20Matt SauerKCR23036246.18.293.781.21.30268.7%4.734.610.1
21Austin CoxKCR01114118.27.653.960.94.26864.5%4.594.370.1
22Will KleinKCR01013014.29.475.290.76.33067.7%4.884.140.1
23Steven CruzKCR11028029.09.085.230.99.30970.0%4.714.600.0
24Colin SelbyKCR11021021.19.194.861.01.31172.2%4.394.430.0
25Tyler DuffeyKCR11014015.28.673.511.41.28173.3%4.214.650.0
26Walter PenningtonKCR11011011.26.874.100.93.30570.4%4.504.580.0
27Jonathan BowlanKCR12014118.27.293.291.33.30770.7%4.704.760.0
28Luis CessaKCR000809.16.173.221.17.30468.0%4.874.760.0
29Sam LongKCR11012014.16.713.581.11.29967.3%4.864.670.0
30Dan AltavillaKCR11016017.19.114.681.24.31473.2%4.554.750.0
#NameTeamWLSVGGSIPK/9BB/9HR/9BABIPLOB%GB%ERAFIPWAR
1Cole RagansKCR10902828162.09.713.691.04.29472.8%3.873.922.7
2Brady SingerKCR8902828156.07.622.731.05.30967.6%4.514.162.2
3Seth LugoKCR8902726144.07.862.581.20.30369.8%4.344.222.0
4Michael WachaKCR8702323130.27.612.701.33.29169.8%4.434.491.6
5Daniel Lynch IVKCR460211586.07.163.171.36.29868.6%4.844.800.8
6John SchreiberKCR33356060.09.413.420.90.29572.7%3.723.780.6
7Alec MarshKCR5803016102.28.844.101.34.31166.9%5.194.800.6
8Angel ZerpaKCR33039458.27.572.721.12.30469.8%4.324.240.5
9Chris StrattonKCR33162067.18.543.301.10.30770.1%4.344.150.4
10James McArthurKCR331057063.18.592.991.01.30569.7%4.163.980.4
11Jordan LylesKCR570441296.06.642.561.63.29565.1%5.325.100.3
12Nick AndersonKCR33249050.28.272.781.27.30170.8%4.304.270.3
13Will SmithKCR241562061.08.923.421.25.29269.3%4.444.330.2
14John McMillonKCR33145047.210.805.831.03.29971.5%4.464.390.2
15Zach DaviesKCR23013843.27.003.791.41.30167.7%5.215.090.2
16Josh TaylorKCR12025024.29.903.741.19.32268.6%4.694.130.2
17Kris BubicKCR1206421.08.153.741.24.32270.1%4.844.630.2
18Anthony VenezianoKCR11020229.27.273.671.15.30369.1%4.734.660.2
19Carlos HernándezKCR23044150.28.993.961.20.30168.2%4.714.420.1
20Matt SauerKCR23036246.18.293.781.21.30268.7%4.734.610.1
21Austin CoxKCR01114118.27.653.960.94.26864.5%4.594.370.1
22Will KleinKCR01013014.29.475.290.76.33067.7%4.884.140.1
23Steven CruzKCR11028029.09.085.230.99.30970.0%4.714.600.0
24Colin SelbyKCR11021021.19.194.861.01.31172.2%4.394.430.0
25Tyler DuffeyKCR11014015.28.673.511.41.28173.3%4.214.650.0
26Walter PenningtonKCR11011011.26.874.100.93.30570.4%4.504.580.0
27Jonathan BowlanKCR12014118.27.293.291.33.30770.7%4.704.760.0
28Luis CessaKCR000809.16.173.221.17.30468.0%4.874.760.0
29Sam LongKCR11012014.16.713.581.11.29967.3%4.864.670.0
30Dan AltavillaKCR11016017.19.114.681.24.31473.2%4.554.750.0
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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.