2024 Projections

Data Export [Members Only]
#NameTeamWLSVGGSIPK/9BB/9HR/9BABIPLOB%GB%ERAFIPWAR
1Spencer StriderATL15602828176.112.662.970.95.30272.1%3.382.925.2
2Zack WheelerPHI13803030183.29.382.120.99.29171.7%3.513.454.8
3Kevin GausmanTOR12903130177.210.532.351.02.30874.3%3.423.254.6
4Logan WebbSFG121003030189.28.061.900.74.30571.7%3.443.284.6
5Aaron NolaPHI12903030185.29.451.941.23.29470.0%3.893.674.3
6Pablo LópezMIN12802929180.19.962.371.07.29873.4%3.533.513.8
7Tarik SkubalDET10902828155.110.322.390.99.29872.9%3.443.283.8
8George KirbySEA12903030179.18.511.341.09.29671.6%3.573.503.8
9Zach EflinBAL11802828164.18.771.581.09.29771.3%3.653.523.7
10Framber ValdezHOU14802929186.29.012.920.81.29573.7%3.403.563.7
11Luis CastilloSEA13903030185.19.592.721.06.28473.3%3.543.673.6
12Zac GallenARI13903030184.29.252.441.04.29271.5%3.693.643.6
13Yoshinobu YamamotoLAD12702626161.19.642.401.07.29271.2%3.693.563.5
14Corbin BurnesBAL11802929181.29.702.711.02.28572.7%3.543.623.5
15Blake SnellSFG11903029162.011.464.230.90.29575.0%3.463.503.5
16Max FriedATL13602727160.08.662.220.92.30174.1%3.413.503.4
17Freddy PeraltaMIL11902828160.010.853.081.19.28672.8%3.723.733.4
18Justin SteeleCHC11802929167.18.782.640.97.30072.9%3.673.713.2
19Jesús LuzardoMIA11902929166.110.242.921.17.29973.3%3.783.763.2
20Tyler GlasnowLAD11602424139.011.382.811.17.28873.9%3.503.423.1
21Logan GilbertSEA12803030181.09.012.061.25.28971.8%3.833.843.0
22Mitch KellerPIT101003030177.28.673.011.02.30369.8%4.153.983.0
23Grayson RodriguezBAL11803029159.19.702.971.00.29171.6%3.723.633.0
24Dylan CeaseSDP10803030171.110.513.821.13.29473.4%3.873.942.9
25Shane BieberCLE10802626164.28.542.341.10.29572.1%3.783.812.9
26Michael KingSDP9703424139.29.963.020.98.29573.3%3.563.602.8
27Jordan MontgomeryARI10802828162.08.172.421.05.29772.2%3.813.862.8
28Bobby MillerLAD12702626151.28.862.481.07.28369.9%3.833.802.8
29Sonny GraySTL9802626154.18.612.940.95.29172.7%3.673.822.8
30Tanner BibeeCLE10802828163.29.202.731.16.29273.3%3.763.912.8
#NameTeamWLSVGGSIPK/9BB/9HR/9BABIPLOB%GB%ERAFIPWAR
1Spencer StriderATL15602828176.112.662.970.95.30272.1%3.382.925.2
2Zack WheelerPHI13803030183.29.382.120.99.29171.7%3.513.454.8
3Kevin GausmanTOR12903130177.210.532.351.02.30874.3%3.423.254.6
4Logan WebbSFG121003030189.28.061.900.74.30571.7%3.443.284.6
5Aaron NolaPHI12903030185.29.451.941.23.29470.0%3.893.674.3
6Pablo LópezMIN12802929180.19.962.371.07.29873.4%3.533.513.8
7Tarik SkubalDET10902828155.110.322.390.99.29872.9%3.443.283.8
8George KirbySEA12903030179.18.511.341.09.29671.6%3.573.503.8
9Zach EflinBAL11802828164.18.771.581.09.29771.3%3.653.523.7
10Framber ValdezHOU14802929186.29.012.920.81.29573.7%3.403.563.7
11Luis CastilloSEA13903030185.19.592.721.06.28473.3%3.543.673.6
12Zac GallenARI13903030184.29.252.441.04.29271.5%3.693.643.6
13Yoshinobu YamamotoLAD12702626161.19.642.401.07.29271.2%3.693.563.5
14Corbin BurnesBAL11802929181.29.702.711.02.28572.7%3.543.623.5
15Blake SnellSFG11903029162.011.464.230.90.29575.0%3.463.503.5
16Max FriedATL13602727160.08.662.220.92.30174.1%3.413.503.4
17Freddy PeraltaMIL11902828160.010.853.081.19.28672.8%3.723.733.4
18Justin SteeleCHC11802929167.18.782.640.97.30072.9%3.673.713.2
19Jesús LuzardoMIA11902929166.110.242.921.17.29973.3%3.783.763.2
20Tyler GlasnowLAD11602424139.011.382.811.17.28873.9%3.503.423.1
21Logan GilbertSEA12803030181.09.012.061.25.28971.8%3.833.843.0
22Mitch KellerPIT101003030177.28.673.011.02.30369.8%4.153.983.0
23Grayson RodriguezBAL11803029159.19.702.971.00.29171.6%3.723.633.0
24Dylan CeaseSDP10803030171.110.513.821.13.29473.4%3.873.942.9
25Shane BieberCLE10802626164.28.542.341.10.29572.1%3.783.812.9
26Michael KingSDP9703424139.29.963.020.98.29573.3%3.563.602.8
27Jordan MontgomeryARI10802828162.08.172.421.05.29772.2%3.813.862.8
28Bobby MillerLAD12702626151.28.862.481.07.28369.9%3.833.802.8
29Sonny GraySTL9802626154.18.612.940.95.29172.7%3.673.822.8
30Tanner BibeeCLE10802828163.29.202.731.16.29273.3%3.763.912.8
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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.