2024 Projections

Data Export [Members Only]
#NameTeamWLSVGGSIPK/9BB/9HR/9BABIPLOB%GB%ERAFIPWAR
1Logan WebbSFG121003030189.28.061.900.74.30571.7%3.443.284.6
2Blake SnellSFG11903029162.011.464.230.90.29575.0%3.463.503.5
3Alex CobbSFG7702323128.08.052.540.88.31071.6%3.843.692.5
4Kyle HarrisonSFG6602727136.010.033.951.15.28972.0%4.064.212.0
5Jordan HicksSFG6603517100.29.834.220.78.30071.9%3.823.781.6
6Keaton WinnSFG560301388.17.912.611.07.29769.4%4.164.101.1
7Camilo DovalSFG543362064.010.963.730.89.29676.5%3.253.550.7
8Taylor RogersSFG44358057.010.793.411.00.30971.9%3.843.640.6
9Ryan WalkerSFG43053256.110.263.451.03.31275.0%3.683.750.6
10Mason BlackSFG23022650.28.733.491.13.30270.6%4.314.290.5
11Robbie RaySFG33010740.09.973.121.40.29373.0%4.094.180.5
12Tyler RogersSFG34264068.06.652.420.85.29770.0%3.933.970.5
13Landen RouppSFG22029237.09.133.310.99.29571.2%3.933.880.4
14Tristan BeckSFG22017438.17.392.821.18.29869.4%4.434.380.3
15Luke JacksonSFG33157056.09.823.871.07.30373.8%3.914.040.3
16Kai-Wei TengSFG23033142.09.644.420.88.30569.8%4.274.110.3
17Daulton JefferiesSFG22025131.07.032.041.14.30366.5%4.514.160.2
18Mitch WhiteSFG22033246.18.153.601.17.29969.0%4.604.440.2
19Ethan SmallSFG11025028.19.154.431.06.30572.2%4.294.330.1
20Sean HjelleSFG11017023.07.563.320.94.33067.9%4.774.270.1
21Spencer HowardSFG23130341.29.053.501.60.29969.1%4.954.980.1
22Cody StashakSFG11014015.18.712.281.37.30971.8%4.234.180.1
23Carson SeymourSFG110707.09.143.091.03.38672.1%4.763.870.1
24Thomas SzapuckiSFG000507.110.494.650.93.30772.1%4.073.940.1
25Blayne EnlowSFG000406.28.572.801.12.32870.6%4.394.070.0
26R.J. DabovichSFG11020020.29.404.321.27.29871.3%4.514.560.0
27Randy RodríguezSFG11017018.19.295.770.93.29769.4%4.724.650.0
28Spencer BivensSFG01010010.17.133.761.09.30469.4%4.674.710.0
29Erik MillerSFG12036037.29.855.821.05.30171.7%4.574.650.0
30Nick AvilaSFG010707.16.993.741.23.30770.5%4.764.830.0
#NameTeamWLSVGGSIPK/9BB/9HR/9BABIPLOB%GB%ERAFIPWAR
1Logan WebbSFG121003030189.28.061.900.74.30571.7%3.443.284.6
2Blake SnellSFG11903029162.011.464.230.90.29575.0%3.463.503.5
3Alex CobbSFG7702323128.08.052.540.88.31071.6%3.843.692.5
4Kyle HarrisonSFG6602727136.010.033.951.15.28972.0%4.064.212.0
5Jordan HicksSFG6603517100.29.834.220.78.30071.9%3.823.781.6
6Keaton WinnSFG560301388.17.912.611.07.29769.4%4.164.101.1
7Camilo DovalSFG543362064.010.963.730.89.29676.5%3.253.550.7
8Taylor RogersSFG44358057.010.793.411.00.30971.9%3.843.640.6
9Ryan WalkerSFG43053256.110.263.451.03.31275.0%3.683.750.6
10Mason BlackSFG23022650.28.733.491.13.30270.6%4.314.290.5
11Robbie RaySFG33010740.09.973.121.40.29373.0%4.094.180.5
12Tyler RogersSFG34264068.06.652.420.85.29770.0%3.933.970.5
13Landen RouppSFG22029237.09.133.310.99.29571.2%3.933.880.4
14Tristan BeckSFG22017438.17.392.821.18.29869.4%4.434.380.3
15Luke JacksonSFG33157056.09.823.871.07.30373.8%3.914.040.3
16Kai-Wei TengSFG23033142.09.644.420.88.30569.8%4.274.110.3
17Daulton JefferiesSFG22025131.07.032.041.14.30366.5%4.514.160.2
18Mitch WhiteSFG22033246.18.153.601.17.29969.0%4.604.440.2
19Ethan SmallSFG11025028.19.154.431.06.30572.2%4.294.330.1
20Sean HjelleSFG11017023.07.563.320.94.33067.9%4.774.270.1
21Spencer HowardSFG23130341.29.053.501.60.29969.1%4.954.980.1
22Cody StashakSFG11014015.18.712.281.37.30971.8%4.234.180.1
23Carson SeymourSFG110707.09.143.091.03.38672.1%4.763.870.1
24Thomas SzapuckiSFG000507.110.494.650.93.30772.1%4.073.940.1
25Blayne EnlowSFG000406.28.572.801.12.32870.6%4.394.070.0
26R.J. DabovichSFG11020020.29.404.321.27.29871.3%4.514.560.0
27Randy RodríguezSFG11017018.19.295.770.93.29769.4%4.724.650.0
28Spencer BivensSFG01010010.17.133.761.09.30469.4%4.674.710.0
29Erik MillerSFG12036037.29.855.821.05.30171.7%4.574.650.0
30Nick AvilaSFG010707.16.993.741.23.30770.5%4.764.830.0
of 2
Page Size:
1 - 30 of 33 results
of 2
Page Size:
1 - 30 of 33 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

  • 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.