2024 Projections

Data Export [Members Only]
#NameTeamWLSVGGSIPK/9BB/9HR/9BABIPLOB%GB%ERAFIPWAR
1Carlos RodónNYY10802525137.210.243.041.28.28470.3%4.073.982.5
2Nestor CortesNYY9602824134.19.202.591.34.28472.0%3.984.122.3
3Marcus StromanNYY10802626150.07.652.921.00.29170.9%3.994.082.2
4Clarke SchmidtNYY9802828147.28.152.831.23.29569.5%4.364.332.1
5Gerrit ColeNYY630161484.210.012.301.70.27080.1%3.584.341.1
6Luis GilNYY440271586.210.054.421.29.27471.3%4.294.470.9
7Caleb FergusonNYY43159156.110.273.630.83.30674.6%3.473.600.8
8Clay HolmesNYY432963064.19.423.350.68.29773.8%3.313.470.7
9Ian HamiltonNYY43253061.210.163.970.82.29273.4%3.563.640.6
10Will WarrenNYY33019749.07.763.551.14.29570.7%4.374.490.4
11Jonathan LoáisigaNYY33448053.17.272.550.95.28872.1%3.744.030.4
12Tommy KahnleNYY23246047.010.103.681.13.28174.4%3.694.050.3
13Luke WeaverNYY23035453.18.412.811.53.30768.8%4.864.660.2
14Victor GonzálezNYY33049049.18.543.410.98.29171.3%3.964.090.2
15Clayton BeeterNYY33024646.29.314.351.35.28771.0%4.574.750.2
16JT BrubakerNYY11015222.08.853.081.18.30269.8%4.314.190.2
17Phil BickfordNYY21032033.29.753.681.21.28267.5%4.434.210.2
18Scott EffrossNYY11125025.18.702.761.05.30371.0%3.993.920.2
19Chase HamptonNYY1105423.28.423.151.56.29070.0%4.704.800.2
20Nick BurdiNYY22044044.210.744.381.21.30170.8%4.394.250.1
21Michael TonkinNYY43049056.18.993.121.40.28070.7%4.284.460.1
22Lou TrivinoNYY11118018.19.113.811.11.30572.2%4.214.280.1
23Yerry De Los SantosNYY12019021.17.973.990.95.31974.7%4.044.330.1
24Cody PoteetNYY22027132.28.553.531.35.29571.5%4.444.610.1
25Anthony MisiewiczNYY11016016.28.313.341.38.30471.1%4.584.580.0
26Dennis SantanaNYY22029030.18.894.321.05.30168.6%4.634.440.0
27Duane Underwood Jr.NYY11019024.07.183.491.02.30367.1%4.744.450.0
28Cody MorrisNYY11023025.29.784.531.22.29474.0%4.164.470.0
29Ron MarinaccioNYY23039042.010.114.841.16.27872.2%4.184.560.0
30Clayton AndrewsNYY11014014.29.694.511.23.29172.2%4.334.490.0
#NameTeamWLSVGGSIPK/9BB/9HR/9BABIPLOB%GB%ERAFIPWAR
1Carlos RodónNYY10802525137.210.243.041.28.28470.3%4.073.982.5
2Nestor CortesNYY9602824134.19.202.591.34.28472.0%3.984.122.3
3Marcus StromanNYY10802626150.07.652.921.00.29170.9%3.994.082.2
4Clarke SchmidtNYY9802828147.28.152.831.23.29569.5%4.364.332.1
5Gerrit ColeNYY630161484.210.012.301.70.27080.1%3.584.341.1
6Luis GilNYY440271586.210.054.421.29.27471.3%4.294.470.9
7Caleb FergusonNYY43159156.110.273.630.83.30674.6%3.473.600.8
8Clay HolmesNYY432963064.19.423.350.68.29773.8%3.313.470.7
9Ian HamiltonNYY43253061.210.163.970.82.29273.4%3.563.640.6
10Will WarrenNYY33019749.07.763.551.14.29570.7%4.374.490.4
11Jonathan LoáisigaNYY33448053.17.272.550.95.28872.1%3.744.030.4
12Tommy KahnleNYY23246047.010.103.681.13.28174.4%3.694.050.3
13Luke WeaverNYY23035453.18.412.811.53.30768.8%4.864.660.2
14Victor GonzálezNYY33049049.18.543.410.98.29171.3%3.964.090.2
15Clayton BeeterNYY33024646.29.314.351.35.28771.0%4.574.750.2
16JT BrubakerNYY11015222.08.853.081.18.30269.8%4.314.190.2
17Phil BickfordNYY21032033.29.753.681.21.28267.5%4.434.210.2
18Scott EffrossNYY11125025.18.702.761.05.30371.0%3.993.920.2
19Chase HamptonNYY1105423.28.423.151.56.29070.0%4.704.800.2
20Nick BurdiNYY22044044.210.744.381.21.30170.8%4.394.250.1
21Michael TonkinNYY43049056.18.993.121.40.28070.7%4.284.460.1
22Lou TrivinoNYY11118018.19.113.811.11.30572.2%4.214.280.1
23Yerry De Los SantosNYY12019021.17.973.990.95.31974.7%4.044.330.1
24Cody PoteetNYY22027132.28.553.531.35.29571.5%4.444.610.1
25Anthony MisiewiczNYY11016016.28.313.341.38.30471.1%4.584.580.0
26Dennis SantanaNYY22029030.18.894.321.05.30168.6%4.634.440.0
27Duane Underwood Jr.NYY11019024.07.183.491.02.30367.1%4.744.450.0
28Cody MorrisNYY11023025.29.784.531.22.29474.0%4.164.470.0
29Ron MarinaccioNYY23039042.010.114.841.16.27872.2%4.184.560.0
30Clayton AndrewsNYY11014014.29.694.511.23.29172.2%4.334.490.0
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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.