2024 Projections

Data Export [Members Only]
#NameTeamWLSVGGSIPK/9BB/9HR/9BABIPLOB%GB%ERAFIPWAR
1Jesús LuzardoMIA11902929166.110.242.921.17.29973.3%3.783.763.2
2Braxton GarrettMIA7702524131.08.832.331.07.30972.0%3.863.792.3
3Trevor RogersMIA7802823115.19.083.181.08.30269.7%4.214.051.7
4Edward CabreraMIA7802423116.19.784.511.04.28672.4%4.044.271.5
5A.J. PukMIA663371399.09.912.971.24.30372.4%4.014.001.5
6Max MeyerMIA560211791.08.323.351.14.29269.3%4.374.291.2
7Eury PérezMIA430121155.210.312.941.24.28772.4%3.843.851.1
8Tanner ScottMIA432566066.211.794.020.70.31175.1%3.253.171.0
9Sixto SánchezMIA32041151.28.802.620.83.29970.2%3.713.500.7
10Andrew NardiMIA53662065.210.943.801.03.30174.3%3.673.740.7
11Ryan WeathersMIA35040873.27.633.641.37.30369.4%4.904.850.3
12Anthony BenderMIA33350049.29.183.421.11.29173.1%3.894.130.3
13George SorianoMIA22143056.08.644.100.99.30570.7%4.334.350.2
14JT ChargoisMIA21046145.28.073.611.01.29271.5%4.094.290.2
15Anthony MaldonadoMIA21129029.29.403.431.19.29571.5%4.144.170.1
16Patrick MonteverdeMIA11013221.17.863.421.22.29768.0%4.694.540.1
17Huascar BrazobanMIA11024025.09.864.641.02.30672.9%4.144.260.1
18Josh SimpsonMIA11015015.19.724.501.00.30072.2%4.134.200.1
19Darren McCaughanMIA010809.17.442.201.33.30868.6%4.604.410.0
20Bryan HoeingMIA22034348.16.632.771.31.29966.6%4.924.720.0
21Zach McCambleyMIA000606.08.643.511.21.30068.5%4.614.450.0
22Roddery MuñozMIA11014014.08.314.171.10.30670.6%4.554.530.0
23Yonny ChirinosMIA23035142.06.332.761.27.29767.6%4.804.790.0
24Calvin FaucherMIA12021023.18.804.111.21.32369.0%4.954.560.0
25Mychal GivensMIA22134032.08.834.221.20.30371.5%4.494.73-0.1
26Devin SmeltzerMIA11010223.26.372.631.75.28570.9%4.875.50-0.1
27Declan CroninMIA22037040.06.323.681.08.30768.1%4.924.95-0.2
#NameTeamWLSVGGSIPK/9BB/9HR/9BABIPLOB%GB%ERAFIPWAR
1Jesús LuzardoMIA11902929166.110.242.921.17.29973.3%3.783.763.2
2Braxton GarrettMIA7702524131.08.832.331.07.30972.0%3.863.792.3
3Trevor RogersMIA7802823115.19.083.181.08.30269.7%4.214.051.7
4Edward CabreraMIA7802423116.19.784.511.04.28672.4%4.044.271.5
5A.J. PukMIA663371399.09.912.971.24.30372.4%4.014.001.5
6Max MeyerMIA560211791.08.323.351.14.29269.3%4.374.291.2
7Eury PérezMIA430121155.210.312.941.24.28772.4%3.843.851.1
8Tanner ScottMIA432566066.211.794.020.70.31175.1%3.253.171.0
9Sixto SánchezMIA32041151.28.802.620.83.29970.2%3.713.500.7
10Andrew NardiMIA53662065.210.943.801.03.30174.3%3.673.740.7
11Ryan WeathersMIA35040873.27.633.641.37.30369.4%4.904.850.3
12Anthony BenderMIA33350049.29.183.421.11.29173.1%3.894.130.3
13George SorianoMIA22143056.08.644.100.99.30570.7%4.334.350.2
14JT ChargoisMIA21046145.28.073.611.01.29271.5%4.094.290.2
15Anthony MaldonadoMIA21129029.29.403.431.19.29571.5%4.144.170.1
16Patrick MonteverdeMIA11013221.17.863.421.22.29768.0%4.694.540.1
17Huascar BrazobanMIA11024025.09.864.641.02.30672.9%4.144.260.1
18Josh SimpsonMIA11015015.19.724.501.00.30072.2%4.134.200.1
19Darren McCaughanMIA010809.17.442.201.33.30868.6%4.604.410.0
20Bryan HoeingMIA22034348.16.632.771.31.29966.6%4.924.720.0
21Zach McCambleyMIA000606.08.643.511.21.30068.5%4.614.450.0
22Roddery MuñozMIA11014014.08.314.171.10.30670.6%4.554.530.0
23Yonny ChirinosMIA23035142.06.332.761.27.29767.6%4.804.790.0
24Calvin FaucherMIA12021023.18.804.111.21.32369.0%4.954.560.0
25Mychal GivensMIA22134032.08.834.221.20.30371.5%4.494.73-0.1
26Devin SmeltzerMIA11010223.26.372.631.75.28570.9%4.875.50-0.1
27Declan CroninMIA22037040.06.323.681.08.30768.1%4.924.95-0.2
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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.