2024 Projections

Data Export [Members Only]
#NameTeamWLSVGGSIPK/9BB/9HR/9BABIPLOB%GB%ERAFIPWAR
1MacKenzie GoreWSN8902626140.09.573.701.37.29572.7%4.294.441.8
2Josiah GrayWSN71102727156.18.314.101.53.28769.9%4.915.121.1
3Jake IrvinWSN5702424121.27.233.481.37.28567.9%4.854.951.0
4Patrick CorbinWSN71202727153.26.542.951.55.30868.4%5.205.110.9
5Hunter HarveyWSN331358060.210.002.561.06.29473.3%3.543.520.8
6Trevor WilliamsWSN5703419115.26.932.981.62.30869.2%5.165.170.5
7Dylan FloroWSN34252053.28.122.910.84.32068.9%4.243.750.5
8Robert GarciaWSN33049055.29.474.191.09.30571.8%4.274.230.4
9Jackson RutledgeWSN450171371.26.523.631.43.28966.5%5.245.290.4
10Cade CavalliWSN23015742.08.713.971.16.29469.5%4.504.660.4
11Joan AdonWSN24023753.27.584.111.22.30466.5%5.174.890.3
12Kyle FinneganWSN442064067.28.883.411.29.29374.2%4.054.390.3
13Jordan WeemsWSN33056062.09.184.281.23.29069.8%4.564.570.1
14DJ HerzWSN11010217.09.725.191.14.29169.7%4.664.650.1
15Mason ThompsonWSN23140041.27.253.980.89.31467.5%4.824.440.1
16Mitchell ParkerWSN1107318.17.964.381.31.29169.0%4.914.940.1
17Derek LawWSN34041043.27.743.921.13.29671.6%4.384.640.1
18Víctor AranoWSN11013013.08.763.241.17.29671.3%4.174.250.1
19Joe La SorsaWSN11024026.26.872.781.21.29969.7%4.484.620.0
20Jacob BarnesWSN12029030.06.963.281.25.30165.9%5.074.770.0
21Tim CateWSN010909.06.963.661.08.30369.1%4.674.590.0
22Jose A. FerrerWSN21029028.27.393.501.13.30069.9%4.524.530.0
23Zach BrzykcyWSN11012012.29.034.371.25.29170.5%4.564.670.0
24Spenser WatkinsWSN01011114.16.433.061.49.30467.5%5.235.090.0
25Tanner RaineyWSN24651052.110.114.691.58.28474.6%4.474.970.0
26Amos WillinghamWSN12025027.16.773.021.45.30266.9%5.154.98-0.1
27Robert GsellmanWSN11023025.16.463.831.31.30266.7%5.305.17-0.1
28Thaddeus WardWSN11022024.07.845.281.31.28468.3%5.185.34-0.2
#NameTeamWLSVGGSIPK/9BB/9HR/9BABIPLOB%GB%ERAFIPWAR
1MacKenzie GoreWSN8902626140.09.573.701.37.29572.7%4.294.441.8
2Josiah GrayWSN71102727156.18.314.101.53.28769.9%4.915.121.1
3Jake IrvinWSN5702424121.27.233.481.37.28567.9%4.854.951.0
4Patrick CorbinWSN71202727153.26.542.951.55.30868.4%5.205.110.9
5Hunter HarveyWSN331358060.210.002.561.06.29473.3%3.543.520.8
6Trevor WilliamsWSN5703419115.26.932.981.62.30869.2%5.165.170.5
7Dylan FloroWSN34252053.28.122.910.84.32068.9%4.243.750.5
8Robert GarciaWSN33049055.29.474.191.09.30571.8%4.274.230.4
9Jackson RutledgeWSN450171371.26.523.631.43.28966.5%5.245.290.4
10Cade CavalliWSN23015742.08.713.971.16.29469.5%4.504.660.4
11Joan AdonWSN24023753.27.584.111.22.30466.5%5.174.890.3
12Kyle FinneganWSN442064067.28.883.411.29.29374.2%4.054.390.3
13Jordan WeemsWSN33056062.09.184.281.23.29069.8%4.564.570.1
14DJ HerzWSN11010217.09.725.191.14.29169.7%4.664.650.1
15Mason ThompsonWSN23140041.27.253.980.89.31467.5%4.824.440.1
16Mitchell ParkerWSN1107318.17.964.381.31.29169.0%4.914.940.1
17Derek LawWSN34041043.27.743.921.13.29671.6%4.384.640.1
18Víctor AranoWSN11013013.08.763.241.17.29671.3%4.174.250.1
19Joe La SorsaWSN11024026.26.872.781.21.29969.7%4.484.620.0
20Jacob BarnesWSN12029030.06.963.281.25.30165.9%5.074.770.0
21Tim CateWSN010909.06.963.661.08.30369.1%4.674.590.0
22Jose A. FerrerWSN21029028.27.393.501.13.30069.9%4.524.530.0
23Zach BrzykcyWSN11012012.29.034.371.25.29170.5%4.564.670.0
24Spenser WatkinsWSN01011114.16.433.061.49.30467.5%5.235.090.0
25Tanner RaineyWSN24651052.110.114.691.58.28474.6%4.474.970.0
26Amos WillinghamWSN12025027.16.773.021.45.30266.9%5.154.98-0.1
27Robert GsellmanWSN11023025.16.463.831.31.30266.7%5.305.17-0.1
28Thaddeus WardWSN11022024.07.845.281.31.28468.3%5.185.34-0.2
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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.