2024 Projections

Data Export [Members Only]
#NameTeamWLSVGGSIPK/9BB/9HR/9BABIPLOB%GB%ERAFIPWAR
1Pablo LópezMIN12803030184.29.952.381.05.29773.2%3.523.504.0
2Joe RyanMIN11902828163.09.992.311.42.28771.4%4.004.002.6
3Bailey OberMIN9802727153.08.772.041.43.28971.5%4.074.162.2
4Chris PaddackMIN7602620114.18.202.171.25.30568.1%4.414.051.9
5Louie VarlandMIN7703518122.18.722.571.26.30071.3%4.144.111.4
6Jhoan DuranMIN433361064.012.023.150.72.30977.6%2.822.841.1
7Anthony DeSclafaniMIN6703019112.17.262.301.35.29667.8%4.604.471.1
8Caleb ThielbarMIN32153052.210.792.841.23.30274.4%3.703.660.6
9Brock StewartMIN32155055.211.333.691.04.30675.5%3.543.610.6
10Griffin JaxMIN44254161.19.232.741.06.29870.0%3.983.790.5
11Kody FunderburkMIN31037040.29.923.800.79.30873.6%3.613.610.4
12Justin TopaMIN33155053.17.802.760.87.30771.1%3.933.840.4
13Steven OkertMIN22050049.110.953.741.25.29372.0%4.064.060.4
14Simeon Woods RichardsonMIN22014435.07.533.811.21.29668.9%4.754.690.2
15David FestaMIN1103316.27.813.731.17.29369.5%4.554.600.2
16Jovani MoranMIN00014016.010.664.920.67.28768.3%4.033.580.1
17Matt CanterinoMIN1103316.18.753.981.35.29070.1%4.644.680.1
18Josh StaumontMIN22135035.110.344.881.05.29870.0%4.444.270.1
19Brent HeadrickMIN11017126.19.073.271.39.30270.6%4.524.520.1
20Cole SandsMIN11025030.28.973.621.19.30471.1%4.364.340.1
21Jay JacksonMIN32035037.09.383.041.50.28477.3%3.844.470.1
22Randy DobnakMIN1109012.16.883.570.81.33671.6%4.444.230.0
23Pierson OhlMIN11011011.27.251.821.29.30169.5%4.304.270.0
24Cody LawerysonMIN11012012.28.473.131.22.30269.3%4.484.300.0
25Austin SchulferMIN000505.18.023.950.99.30466.2%4.844.400.0
26Ronny HenriquezMIN010809.17.954.040.99.29967.6%4.674.450.0
27Josh WinderMIN22024131.27.733.511.28.30771.4%4.574.670.0
28Jorge AlcalaMIN23034037.29.013.521.35.28770.2%4.434.500.0
29Zack WeissMIN11020021.19.714.681.42.30872.5%4.714.86-0.1
30Hobie HarrisMIN11012014.16.635.261.35.32971.7%5.465.65-0.2
#NameTeamWLSVGGSIPK/9BB/9HR/9BABIPLOB%GB%ERAFIPWAR
1Pablo LópezMIN12803030184.29.952.381.05.29773.2%3.523.504.0
2Joe RyanMIN11902828163.09.992.311.42.28771.4%4.004.002.6
3Bailey OberMIN9802727153.08.772.041.43.28971.5%4.074.162.2
4Chris PaddackMIN7602620114.18.202.171.25.30568.1%4.414.051.9
5Louie VarlandMIN7703518122.18.722.571.26.30071.3%4.144.111.4
6Jhoan DuranMIN433361064.012.023.150.72.30977.6%2.822.841.1
7Anthony DeSclafaniMIN6703019112.17.262.301.35.29667.8%4.604.471.1
8Caleb ThielbarMIN32153052.210.792.841.23.30274.4%3.703.660.6
9Brock StewartMIN32155055.211.333.691.04.30675.5%3.543.610.6
10Griffin JaxMIN44254161.19.232.741.06.29870.0%3.983.790.5
11Kody FunderburkMIN31037040.29.923.800.79.30873.6%3.613.610.4
12Justin TopaMIN33155053.17.802.760.87.30771.1%3.933.840.4
13Steven OkertMIN22050049.110.953.741.25.29372.0%4.064.060.4
14Simeon Woods RichardsonMIN22014435.07.533.811.21.29668.9%4.754.690.2
15David FestaMIN1103316.27.813.731.17.29369.5%4.554.600.2
16Jovani MoranMIN00014016.010.664.920.67.28768.3%4.033.580.1
17Matt CanterinoMIN1103316.18.753.981.35.29070.1%4.644.680.1
18Josh StaumontMIN22135035.110.344.881.05.29870.0%4.444.270.1
19Brent HeadrickMIN11017126.19.073.271.39.30270.6%4.524.520.1
20Cole SandsMIN11025030.28.973.621.19.30471.1%4.364.340.1
21Jay JacksonMIN32035037.09.383.041.50.28477.3%3.844.470.1
22Randy DobnakMIN1109012.16.883.570.81.33671.6%4.444.230.0
23Pierson OhlMIN11011011.27.251.821.29.30169.5%4.304.270.0
24Cody LawerysonMIN11012012.28.473.131.22.30269.3%4.484.300.0
25Austin SchulferMIN000505.18.023.950.99.30466.2%4.844.400.0
26Ronny HenriquezMIN010809.17.954.040.99.29967.6%4.674.450.0
27Josh WinderMIN22024131.27.733.511.28.30771.4%4.574.670.0
28Jorge AlcalaMIN23034037.29.013.521.35.28770.2%4.434.500.0
29Zack WeissMIN11020021.19.714.681.42.30872.5%4.714.86-0.1
30Hobie HarrisMIN11012014.16.635.261.35.32971.7%5.465.65-0.2
of 1
Page Size:
1 - 30 of 30 results
of 1
Page Size:
1 - 30 of 30 results
  • 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.