2024 Projections

Data Export [Members Only]
#NameTeamWLSVGGSIPK/9BB/9HR/9BABIPLOB%GB%ERAFIPWAR
1Pablo LópezMIN12802929180.19.962.371.07.29873.4%3.533.513.8
2Joe RyanMIN11902828160.210.002.291.39.28670.8%3.993.932.7
3Bailey OberMIN9802828153.28.822.041.40.29071.1%4.084.112.3
4Chris PaddackMIN8702622120.28.202.151.27.30768.6%4.414.072.0
5Louie VarlandMIN9803723142.08.712.571.29.30071.5%4.154.141.7
6Anthony DeSclafaniMIN460221586.27.352.301.29.29667.6%4.564.370.9
7Jhoan DuranMIN222341044.111.983.170.96.30880.8%2.833.200.6
8Brock StewartMIN32255057.011.293.701.06.30475.8%3.533.660.6
9Caleb ThielbarMIN32046044.210.762.851.20.30173.8%3.713.630.5
10Griffin JaxMIN44857161.09.222.691.09.29470.6%3.913.830.5
11Steven OkertMIN33054055.010.903.741.27.29172.3%4.054.100.4
12Justin TopaMIN33151050.17.752.760.88.31271.7%3.943.870.3
13Simeon Woods RichardsonMIN22012431.07.413.761.18.29268.1%4.744.640.2
14Kody FunderburkMIN31040045.29.843.900.98.30075.6%3.613.960.2
15David FestaMIN1106318.28.043.701.14.29569.8%4.464.470.2
16Brent HeadrickMIN11013221.08.903.301.32.30370.6%4.474.470.2
17Jovani MoranMIN00014015.210.535.000.65.28568.3%4.033.610.1
18Matt CanterinoMIN1103315.08.773.891.33.29470.3%4.604.620.1
19Josh StaumontMIN22135036.010.254.991.04.29870.1%4.454.310.1
20Cody LawerysonMIN01015015.09.012.881.06.29267.3%4.223.880.1
21Cole SandsMIN12031037.28.903.671.17.30571.0%4.374.350.1
22Michael TonkinMIN43049056.18.993.121.40.28070.7%4.284.460.1
23Jay JacksonMIN32038041.19.323.001.56.28378.1%3.824.550.0
24Randy DobnakMIN1109012.16.773.620.78.33471.7%4.394.230.0
25Pierson OhlMIN110908.27.261.831.29.30169.5%4.304.200.0
26Diego CastilloMIN11217017.28.214.111.25.28370.2%4.544.810.0
27Austin SchulferMIN000505.07.964.000.95.30466.0%4.834.380.0
28Ronny HenriquezMIN000506.17.864.080.96.29867.7%4.634.440.0
29Jordan BalazovicMIN11016020.28.354.781.01.31771.9%4.574.570.0
30Josh WinderMIN22019024.27.713.511.24.30670.8%4.594.620.0
#NameTeamWLSVGGSIPK/9BB/9HR/9BABIPLOB%GB%ERAFIPWAR
1Pablo LópezMIN12802929180.19.962.371.07.29873.4%3.533.513.8
2Joe RyanMIN11902828160.210.002.291.39.28670.8%3.993.932.7
3Bailey OberMIN9802828153.28.822.041.40.29071.1%4.084.112.3
4Chris PaddackMIN8702622120.28.202.151.27.30768.6%4.414.072.0
5Louie VarlandMIN9803723142.08.712.571.29.30071.5%4.154.141.7
6Anthony DeSclafaniMIN460221586.27.352.301.29.29667.6%4.564.370.9
7Jhoan DuranMIN222341044.111.983.170.96.30880.8%2.833.200.6
8Brock StewartMIN32255057.011.293.701.06.30475.8%3.533.660.6
9Caleb ThielbarMIN32046044.210.762.851.20.30173.8%3.713.630.5
10Griffin JaxMIN44857161.09.222.691.09.29470.6%3.913.830.5
11Steven OkertMIN33054055.010.903.741.27.29172.3%4.054.100.4
12Justin TopaMIN33151050.17.752.760.88.31271.7%3.943.870.3
13Simeon Woods RichardsonMIN22012431.07.413.761.18.29268.1%4.744.640.2
14Kody FunderburkMIN31040045.29.843.900.98.30075.6%3.613.960.2
15David FestaMIN1106318.28.043.701.14.29569.8%4.464.470.2
16Brent HeadrickMIN11013221.08.903.301.32.30370.6%4.474.470.2
17Jovani MoranMIN00014015.210.535.000.65.28568.3%4.033.610.1
18Matt CanterinoMIN1103315.08.773.891.33.29470.3%4.604.620.1
19Josh StaumontMIN22135036.010.254.991.04.29870.1%4.454.310.1
20Cody LawerysonMIN01015015.09.012.881.06.29267.3%4.223.880.1
21Cole SandsMIN12031037.28.903.671.17.30571.0%4.374.350.1
22Michael TonkinMIN43049056.18.993.121.40.28070.7%4.284.460.1
23Jay JacksonMIN32038041.19.323.001.56.28378.1%3.824.550.0
24Randy DobnakMIN1109012.16.773.620.78.33471.7%4.394.230.0
25Pierson OhlMIN110908.27.261.831.29.30169.5%4.304.200.0
26Diego CastilloMIN11217017.28.214.111.25.28370.2%4.544.810.0
27Austin SchulferMIN000505.07.964.000.95.30466.0%4.834.380.0
28Ronny HenriquezMIN000506.17.864.080.96.29867.7%4.634.440.0
29Jordan BalazovicMIN11016020.28.354.781.01.31771.9%4.574.570.0
30Josh WinderMIN22019024.27.713.511.24.30670.8%4.594.620.0
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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.