2024 Projections

Data Export [Members Only]
#NameTeamGPAHRRRBISBBB%K%ISOBABIPAVGOBPSLGwOBAwRC+BsROffDefWAR
1Ronald Acuña Jr.ATL14765935119925111.7%15.8%.251.328.311.401.563.4081574.951.6-6.66.7
2Austin RileyATL1546683810010228.5%24.0%.252.316.278.348.529.370132-1.325.1-2.44.5
3Matt OlsonATL15266140101111113.1%22.4%.267.288.265.366.532.379138-1.229.7-10.24.2
4Michael Harris IIATL146597228878245.6%20.1%.193.331.287.334.480.3471161.613.85.84.0
5Ozzie AlbiesATL147641279392137.0%17.0%.206.289.271.326.477.3421130.911.01.83.4
6Sean MurphyATL116462206264010.1%22.4%.211.289.252.345.463.349117-1.28.89.53.4
7Orlando ArciaATL12750317616027.8%19.5%.157.282.250.311.406.31193-0.8-5.53.11.5
8Marcell OzunaATL12953929718118.8%23.1%.229.282.255.323.484.344114-1.38.3-13.31.3
9Travis d'ArnaudATL8232511394306.7%22.8%.170.290.246.306.416.31293-1.2-4.04.21.1
10Jarred KelenicATL107430145552129.3%28.1%.177.309.239.315.416.315950.0-2.6-5.50.6
11Adam DuvallATL6927514354126.6%31.3%.225.269.221.281.445.30991-0.5-3.7-3.50.2
12Luis GuillormeATL331161129011.2%17.8%.080.300.247.335.327.29783-0.4-2.80.70.2
13David FletcherATL341290141124.9%9.2%.060.287.262.301.322.27568-0.2-5.20.80.0
14Luke WilliamsATL214215347.1%28.5%.098.291.213.274.311.259580.1-2.10.50.0
15J.P. MartínezATL113915429.3%32.6%.100.307.211.288.311.268640.1-1.70.00.0
16Eli WhiteATL62003219.2%34.2%.102.306.206.286.308.267630.0-0.9-0.20.0
17Sandy LeónATL215014408.3%31.6%.093.269.188.265.281.24751-0.1-3.00.90.0
18Yuli GurrielATL331262131316.3%13.4%.124.279.256.306.379.29886-0.3-2.4-2.7-0.1
19Forrest WallATL246418568.2%28.3%.086.319.229.296.315.274670.3-2.3-0.9-0.1
20Leury GarcíaATL288419815.1%21.2%.090.302.244.289.334.274670.0-3.5-1.4-0.2
21Andrew VelazquezATL296719556.8%33.0%.114.292.204.262.318.256550.3-3.4-1.9-0.3
#NameTeamGPAHRRRBISBBB%K%ISOBABIPAVGOBPSLGwOBAwRC+BsROffDefWAR
1Ronald Acuña Jr.ATL14765935119925111.7%15.8%.251.328.311.401.563.4081574.951.6-6.66.7
2Austin RileyATL1546683810010228.5%24.0%.252.316.278.348.529.370132-1.325.1-2.44.5
3Matt OlsonATL15266140101111113.1%22.4%.267.288.265.366.532.379138-1.229.7-10.24.2
4Michael Harris IIATL146597228878245.6%20.1%.193.331.287.334.480.3471161.613.85.84.0
5Ozzie AlbiesATL147641279392137.0%17.0%.206.289.271.326.477.3421130.911.01.83.4
6Sean MurphyATL116462206264010.1%22.4%.211.289.252.345.463.349117-1.28.89.53.4
7Orlando ArciaATL12750317616027.8%19.5%.157.282.250.311.406.31193-0.8-5.53.11.5
8Marcell OzunaATL12953929718118.8%23.1%.229.282.255.323.484.344114-1.38.3-13.31.3
9Travis d'ArnaudATL8232511394306.7%22.8%.170.290.246.306.416.31293-1.2-4.04.21.1
10Jarred KelenicATL107430145552129.3%28.1%.177.309.239.315.416.315950.0-2.6-5.50.6
11Adam DuvallATL6927514354126.6%31.3%.225.269.221.281.445.30991-0.5-3.7-3.50.2
12Luis GuillormeATL331161129011.2%17.8%.080.300.247.335.327.29783-0.4-2.80.70.2
13David FletcherATL341290141124.9%9.2%.060.287.262.301.322.27568-0.2-5.20.80.0
14Luke WilliamsATL214215347.1%28.5%.098.291.213.274.311.259580.1-2.10.50.0
15J.P. MartínezATL113915429.3%32.6%.100.307.211.288.311.268640.1-1.70.00.0
16Eli WhiteATL62003219.2%34.2%.102.306.206.286.308.267630.0-0.9-0.20.0
17Sandy LeónATL215014408.3%31.6%.093.269.188.265.281.24751-0.1-3.00.90.0
18Yuli GurrielATL331262131316.3%13.4%.124.279.256.306.379.29886-0.3-2.4-2.7-0.1
19Forrest WallATL246418568.2%28.3%.086.319.229.296.315.274670.3-2.3-0.9-0.1
20Leury GarcíaATL288419815.1%21.2%.090.302.244.289.334.274670.0-3.5-1.4-0.2
21Andrew VelazquezATL296719556.8%33.0%.114.292.204.262.318.256550.3-3.4-1.9-0.3
of 1
Page Size:
1 - 21 of 21 results
of 1
Page Size:
1 - 21 of 21 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.