2024 Projections

Data Export [Members Only]
#NameTeamWLSVGGSIPK/9BB/9HR/9BABIPLOB%GB%ERAFIPWAR
1Justin SteeleCHC11802929167.18.782.640.97.30072.9%3.673.713.2
2Shota ImanagaCHC9802727153.19.102.561.23.29672.8%3.883.972.6
3Jameson TaillonCHC8802424133.27.802.361.37.29368.1%4.524.391.7
4Kyle HendricksCHC8802424138.06.402.171.34.29668.8%4.584.621.5
5Jordan WicksCHC7602522115.17.573.011.26.29070.1%4.394.491.2
6Javier AssadCHC540401193.07.543.431.18.29572.0%4.284.560.7
7Julian MerryweatherCHC33361064.011.053.721.11.30573.4%3.853.780.6
8Ben BrownCHC33026550.29.673.981.06.29671.1%4.154.100.6
9Adbert AlzolayCHC332757064.19.742.511.27.28975.9%3.563.940.5
10Hayden WesneskiCHC33025652.28.413.051.36.28971.1%4.334.510.4
11Mark Leiter Jr.CHC33256062.09.983.321.13.29671.1%4.034.020.3
12Héctor NerisCHC44664065.210.113.581.37.28676.4%3.814.350.3
13Cade HortonCHC1104421.18.223.261.34.29068.7%4.624.560.2
14Luke LittleCHC32042044.211.505.061.00.30176.6%3.644.080.2
15Drew SmylyCHC54047572.08.893.051.71.29474.5%4.434.880.2
16Yency AlmonteCHC22048049.29.184.041.10.28569.9%4.294.370.2
17Daniel PalenciaCHC22034037.19.594.341.11.30270.9%4.394.350.2
18Richard LoveladyCHC11015015.18.733.390.97.29770.7%4.044.040.1
19Jose CuasCHC33055053.19.004.281.02.30972.2%4.264.410.1
20Julio TeheranCHC1208531.26.542.421.60.27169.1%4.645.090.1
21Caleb KilianCHC11013118.07.663.230.99.30767.1%4.604.510.1
22Ethan RobertsCHC11011011.28.863.481.19.29671.6%4.214.350.0
23Brad WieckCHC000909.010.514.501.28.29572.5%4.314.450.0
24Carl Edwards Jr.CHC22132032.27.763.971.12.28274.6%3.944.590.0
25Colten BrewerCHC000708.07.874.131.20.30169.1%4.814.830.0
26Cam SandersCHC1009010.19.866.701.17.29972.7%4.825.21-0.1
27Keegan ThompsonCHC21025030.18.554.671.37.29273.6%4.525.04-0.1
#NameTeamWLSVGGSIPK/9BB/9HR/9BABIPLOB%GB%ERAFIPWAR
1Justin SteeleCHC11802929167.18.782.640.97.30072.9%3.673.713.2
2Shota ImanagaCHC9802727153.19.102.561.23.29672.8%3.883.972.6
3Jameson TaillonCHC8802424133.27.802.361.37.29368.1%4.524.391.7
4Kyle HendricksCHC8802424138.06.402.171.34.29668.8%4.584.621.5
5Jordan WicksCHC7602522115.17.573.011.26.29070.1%4.394.491.2
6Javier AssadCHC540401193.07.543.431.18.29572.0%4.284.560.7
7Julian MerryweatherCHC33361064.011.053.721.11.30573.4%3.853.780.6
8Ben BrownCHC33026550.29.673.981.06.29671.1%4.154.100.6
9Adbert AlzolayCHC332757064.19.742.511.27.28975.9%3.563.940.5
10Hayden WesneskiCHC33025652.28.413.051.36.28971.1%4.334.510.4
11Mark Leiter Jr.CHC33256062.09.983.321.13.29671.1%4.034.020.3
12Héctor NerisCHC44664065.210.113.581.37.28676.4%3.814.350.3
13Cade HortonCHC1104421.18.223.261.34.29068.7%4.624.560.2
14Luke LittleCHC32042044.211.505.061.00.30176.6%3.644.080.2
15Drew SmylyCHC54047572.08.893.051.71.29474.5%4.434.880.2
16Yency AlmonteCHC22048049.29.184.041.10.28569.9%4.294.370.2
17Daniel PalenciaCHC22034037.19.594.341.11.30270.9%4.394.350.2
18Richard LoveladyCHC11015015.18.733.390.97.29770.7%4.044.040.1
19Jose CuasCHC33055053.19.004.281.02.30972.2%4.264.410.1
20Julio TeheranCHC1208531.26.542.421.60.27169.1%4.645.090.1
21Caleb KilianCHC11013118.07.663.230.99.30767.1%4.604.510.1
22Ethan RobertsCHC11011011.28.863.481.19.29671.6%4.214.350.0
23Brad WieckCHC000909.010.514.501.28.29572.5%4.314.450.0
24Carl Edwards Jr.CHC22132032.27.763.971.12.28274.6%3.944.590.0
25Colten BrewerCHC000708.07.874.131.20.30169.1%4.814.830.0
26Cam SandersCHC1009010.19.866.701.17.29972.7%4.825.21-0.1
27Keegan ThompsonCHC21025030.18.554.671.37.29273.6%4.525.04-0.1
of 1
Page Size:
1 - 27 of 27 results
of 1
Page Size:
1 - 27 of 27 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.