2024 Projections

Data Export [Members Only]
#NameTeamWLSVGGSIPK/9BB/9HR/9BABIPLOB%GB%ERAFIPWAR
1Emmanuel ClaseCLE443466067.18.812.100.65.29974.3%3.013.031.0
2Pete FairbanksTBR332953053.212.463.460.96.28779.4%2.853.170.9
3Andrés MuñozSEA442957059.211.963.300.81.30077.2%2.943.050.9
4Ryan PresslyHOU43561062.19.992.440.93.29673.0%3.393.270.8
5Caleb FergusonNYY43159156.110.273.630.83.30674.6%3.473.600.8
6Clay HolmesNYY432963064.19.423.350.68.29773.8%3.313.470.7
7Chris MartinBOS43460059.28.851.671.01.31474.7%3.433.390.7
8Bryan AbreuHOU32359063.112.074.000.94.29679.2%3.043.440.7
9Jason AdamTBR331057057.010.813.011.05.27574.7%3.303.650.7
10Josh SborzTEX44256059.010.863.541.15.30669.8%4.213.770.7
11Shawn ArmstrongTBR22155161.09.322.581.09.29573.6%3.633.780.7
12Ian HamiltonNYY43253061.210.163.970.82.29273.4%3.563.640.6
13Matt BrashSEA43749050.212.374.070.84.31576.1%3.293.240.6
14Josh HaderHOU333559060.012.984.031.28.28381.8%3.103.720.6
15Mason MillerOAK331753061.011.683.731.11.28176.7%3.343.670.6
16Jhoan DuranMIN222341044.111.983.170.96.30880.8%2.833.200.6
17Josh WinckowskiBOS44157480.17.833.141.04.30971.2%4.234.180.6
18Robert StephensonLAA331054053.211.192.771.36.28672.7%3.823.760.6
19John SchreiberKCR33356060.09.413.420.90.29572.7%3.723.780.6
20Tim MayzaTOR42060056.08.872.790.92.30576.9%3.303.640.6
21Brock StewartMIN32255057.011.293.701.06.30475.8%3.533.660.6
22Gabe SpeierSEA22262058.09.732.481.00.31072.3%3.683.500.6
23Caleb ThielbarMIN32046044.210.762.851.20.30173.8%3.713.630.5
24Jordan RomanoTOR432751053.210.573.291.17.28677.6%3.383.840.5
25Erik SwansonTOR33552154.010.012.751.19.28975.0%3.563.760.5
26David RobertsonTEX34858059.210.243.891.12.29373.8%3.864.040.5
27Griffin JaxMIN44857161.09.222.691.09.29470.6%3.913.830.5
28Chad GreenTOR43253055.010.252.641.26.29972.3%3.893.760.5
29Yimi GarcíaTOR33661060.09.642.521.22.29072.1%3.823.900.5
30Sam HentgesCLE32050054.19.653.490.85.31273.6%3.673.590.5
#NameTeamWLSVGGSIPK/9BB/9HR/9BABIPLOB%GB%ERAFIPWAR
1Emmanuel ClaseCLE443466067.18.812.100.65.29974.3%3.013.031.0
2Pete FairbanksTBR332953053.212.463.460.96.28779.4%2.853.170.9
3Andrés MuñozSEA442957059.211.963.300.81.30077.2%2.943.050.9
4Ryan PresslyHOU43561062.19.992.440.93.29673.0%3.393.270.8
5Caleb FergusonNYY43159156.110.273.630.83.30674.6%3.473.600.8
6Clay HolmesNYY432963064.19.423.350.68.29773.8%3.313.470.7
7Chris MartinBOS43460059.28.851.671.01.31474.7%3.433.390.7
8Bryan AbreuHOU32359063.112.074.000.94.29679.2%3.043.440.7
9Jason AdamTBR331057057.010.813.011.05.27574.7%3.303.650.7
10Josh SborzTEX44256059.010.863.541.15.30669.8%4.213.770.7
11Shawn ArmstrongTBR22155161.09.322.581.09.29573.6%3.633.780.7
12Ian HamiltonNYY43253061.210.163.970.82.29273.4%3.563.640.6
13Matt BrashSEA43749050.212.374.070.84.31576.1%3.293.240.6
14Josh HaderHOU333559060.012.984.031.28.28381.8%3.103.720.6
15Mason MillerOAK331753061.011.683.731.11.28176.7%3.343.670.6
16Jhoan DuranMIN222341044.111.983.170.96.30880.8%2.833.200.6
17Josh WinckowskiBOS44157480.17.833.141.04.30971.2%4.234.180.6
18Robert StephensonLAA331054053.211.192.771.36.28672.7%3.823.760.6
19John SchreiberKCR33356060.09.413.420.90.29572.7%3.723.780.6
20Tim MayzaTOR42060056.08.872.790.92.30576.9%3.303.640.6
21Brock StewartMIN32255057.011.293.701.06.30475.8%3.533.660.6
22Gabe SpeierSEA22262058.09.732.481.00.31072.3%3.683.500.6
23Caleb ThielbarMIN32046044.210.762.851.20.30173.8%3.713.630.5
24Jordan RomanoTOR432751053.210.573.291.17.28677.6%3.383.840.5
25Erik SwansonTOR33552154.010.012.751.19.28975.0%3.563.760.5
26David RobertsonTEX34858059.210.243.891.12.29373.8%3.864.040.5
27Griffin JaxMIN44857161.09.222.691.09.29470.6%3.913.830.5
28Chad GreenTOR43253055.010.252.641.26.29972.3%3.893.760.5
29Yimi GarcíaTOR33661060.09.642.521.22.29072.1%3.823.900.5
30Sam HentgesCLE32050054.19.653.490.85.31273.6%3.673.590.5
of 11
Page Size:
1 - 30 of 308 results
of 11
Page Size:
1 - 30 of 308 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.