2024 Projections

Data Export [Members Only]
#NameTeamGPAHRRRBISBBB%K%ISOBABIPAVGOBPSLGwOBAwRC+BsROffDefWAR
1Juan SotoNYY153665371051001119.1%16.6%.265.287.279.419.543.408161-2.147.6-10.16.0
2Yordan AlvarezHOU1375943895105113.1%19.5%.296.312.295.396.591.413168-1.546.9-12.95.4
3Corbin CarrollARI1486312310176459.5%20.7%.210.323.277.357.486.3621274.325.70.14.7
4Brandon NimmoNYM145640198665411.3%20.1%.171.315.266.361.437.349121-1.514.6-3.33.3
5Bryan ReynoldsPIT148643248681109.4%21.4%.194.310.267.345.461.346116-0.711.9-6.32.7
6Randy ArozarenaTBR1486362587802510.4%24.2%.195.311.258.349.453.347120-0.714.6-9.62.7
7Riley GreeneDET136588177764108.7%26.4%.165.357.275.342.440.338115-0.210.5-4.42.6
8Ian HappCHC1436132077721112.0%23.4%.175.302.248.344.423.334111-0.47.9-3.72.5
9Christian YelichMIL1436201789682212.8%22.9%.158.324.261.361.419.3401131.711.8-8.32.5
10Evan CarterTEX1365611672641811.9%25.3%.167.323.253.349.420.335111-0.86.5-1.42.4
11Nolan JonesCOL1425862481781911.7%28.8%.210.352.267.359.478.359111-0.47.5-3.82.4
12Chas McCormickHOU131525206768169.2%26.0%.178.312.253.330.431.330111-0.85.8-0.62.3
13Taylor WardLAA130552207570610.1%20.8%.187.304.264.347.451.345118-0.911.2-7.42.2
14Steven KwanCLE14061657951179.5%10.2%.098.301.275.348.373.3181040.43.3-1.82.2
15Kyle SchwarberPHI147644409495315.2%29.3%.264.252.220.345.484.355123-1.916.1-16.22.2
16Daulton VarshoTOR138555227068168.1%23.3%.191.266.232.300.423.311980.7-0.42.52.1
17Davis SchneiderTOR98400165049511.9%28.1%.204.289.230.330.434.332112-0.75.30.82.0
18Brandon MarshPHI1264921358541210.3%30.7%.163.356.254.336.417.3271040.42.8-0.61.9
19Tyler O'NeillBOS121492216764129.3%27.1%.202.308.250.327.452.3361070.24.6-4.91.6
20Wyatt LangfordTEX1275481969691510.0%21.9%.186.303.258.339.444.338113-0.58.2-10.41.6
21Spencer SteerCIN137582207174109.4%21.5%.183.298.255.335.438.335105-0.82.6-6.41.6
22Brendan DonovanSTL12049810644969.9%15.2%.125.308.272.359.397.334111-0.66.0-8.41.4
23Masataka YoshidaBOS13556816707168.1%13.1%.158.310.289.353.447.346115-1.78.2-13.71.4
24Lourdes Gurriel Jr.ARI13054517657156.1%17.7%.168.311.276.325.445.331107-1.62.9-7.71.4
25Alex VerdugoNYY12452713655647.6%15.4%.147.293.265.324.412.319101-0.6-0.3-4.31.3
26Austin HaysBAL12551916626146.5%22.4%.164.302.253.308.417.313100-1.0-0.7-3.61.3
27Jarren DuranBOS128521137054287.1%25.4%.164.334.261.320.425.322981.50.2-4.71.3
28Matt WallnerMIN110439175556311.0%33.1%.197.321.230.332.426.329111-0.74.9-6.91.3
29Mark CanhaDET125507125855710.2%17.3%.141.292.255.351.395.330110-1.14.8-9.71.2
30MJ MelendezKCR133559207065511.0%26.0%.194.300.243.329.437.330108-1.54.3-11.71.2
#NameTeamGPAHRRRBISBBB%K%ISOBABIPAVGOBPSLGwOBAwRC+BsROffDefWAR
1Juan SotoNYY153665371051001119.1%16.6%.265.287.279.419.543.408161-2.147.6-10.16.0
2Yordan AlvarezHOU1375943895105113.1%19.5%.296.312.295.396.591.413168-1.546.9-12.95.4
3Corbin CarrollARI1486312310176459.5%20.7%.210.323.277.357.486.3621274.325.70.14.7
4Brandon NimmoNYM145640198665411.3%20.1%.171.315.266.361.437.349121-1.514.6-3.33.3
5Bryan ReynoldsPIT148643248681109.4%21.4%.194.310.267.345.461.346116-0.711.9-6.32.7
6Randy ArozarenaTBR1486362587802510.4%24.2%.195.311.258.349.453.347120-0.714.6-9.62.7
7Riley GreeneDET136588177764108.7%26.4%.165.357.275.342.440.338115-0.210.5-4.42.6
8Ian HappCHC1436132077721112.0%23.4%.175.302.248.344.423.334111-0.47.9-3.72.5
9Christian YelichMIL1436201789682212.8%22.9%.158.324.261.361.419.3401131.711.8-8.32.5
10Evan CarterTEX1365611672641811.9%25.3%.167.323.253.349.420.335111-0.86.5-1.42.4
11Nolan JonesCOL1425862481781911.7%28.8%.210.352.267.359.478.359111-0.47.5-3.82.4
12Chas McCormickHOU131525206768169.2%26.0%.178.312.253.330.431.330111-0.85.8-0.62.3
13Taylor WardLAA130552207570610.1%20.8%.187.304.264.347.451.345118-0.911.2-7.42.2
14Steven KwanCLE14061657951179.5%10.2%.098.301.275.348.373.3181040.43.3-1.82.2
15Kyle SchwarberPHI147644409495315.2%29.3%.264.252.220.345.484.355123-1.916.1-16.22.2
16Daulton VarshoTOR138555227068168.1%23.3%.191.266.232.300.423.311980.7-0.42.52.1
17Davis SchneiderTOR98400165049511.9%28.1%.204.289.230.330.434.332112-0.75.30.82.0
18Brandon MarshPHI1264921358541210.3%30.7%.163.356.254.336.417.3271040.42.8-0.61.9
19Tyler O'NeillBOS121492216764129.3%27.1%.202.308.250.327.452.3361070.24.6-4.91.6
20Wyatt LangfordTEX1275481969691510.0%21.9%.186.303.258.339.444.338113-0.58.2-10.41.6
21Spencer SteerCIN137582207174109.4%21.5%.183.298.255.335.438.335105-0.82.6-6.41.6
22Brendan DonovanSTL12049810644969.9%15.2%.125.308.272.359.397.334111-0.66.0-8.41.4
23Masataka YoshidaBOS13556816707168.1%13.1%.158.310.289.353.447.346115-1.78.2-13.71.4
24Lourdes Gurriel Jr.ARI13054517657156.1%17.7%.168.311.276.325.445.331107-1.62.9-7.71.4
25Alex VerdugoNYY12452713655647.6%15.4%.147.293.265.324.412.319101-0.6-0.3-4.31.3
26Austin HaysBAL12551916626146.5%22.4%.164.302.253.308.417.313100-1.0-0.7-3.61.3
27Jarren DuranBOS128521137054287.1%25.4%.164.334.261.320.425.322981.50.2-4.71.3
28Matt WallnerMIN110439175556311.0%33.1%.197.321.230.332.426.329111-0.74.9-6.91.3
29Mark CanhaDET125507125855710.2%17.3%.141.292.255.351.395.330110-1.14.8-9.71.2
30MJ MelendezKCR133559207065511.0%26.0%.194.300.243.329.437.330108-1.54.3-11.71.2
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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.