2024 Projections

Data Export [Members Only]
#NameTeamGPAHRRRBISBBB%K%ISOBABIPAVGOBPSLGwOBAwRC+BsROffDefWAR
1Willson ContrerasSTL12048521626459.9%22.9%.203.296.254.348.457.348121-1.610.55.03.2
2Nolan ArenadoSTL14561725739047.6%15.0%.195.269.260.320.455.330108-1.15.14.63.1
3Paul GoldschmidtSTL147644248784712.0%22.7%.183.314.264.355.447.347120-0.615.0-11.32.6
4Nolan GormanSTL12752127697579.8%30.6%.223.298.238.318.461.334111-0.76.0-1.42.2
5Lars NootbaarSTL110461166451913.2%20.2%.179.291.253.354.432.342116-0.29.0-4.82.0
6Tommy EdmanSTL10241895641216.6%16.3%.142.293.260.316.402.312962.0-0.22.01.6
7Brendan DonovanSTL12049810644969.9%15.2%.125.308.272.359.397.334111-0.66.0-8.41.4
8Masyn WinnSTL11947795647137.2%19.8%.127.287.243.301.369.293830.2-9.87.31.4
9Jordan WalkerSTL133550186664108.0%22.8%.170.321.266.334.437.333110-0.86.1-12.21.3
10Iván HerreraSTL5119842321211.7%23.7%.128.309.244.343.372.318100-0.3-0.33.51.0
11Dylan CarlsonSTL803198383439.7%19.8%.152.292.248.332.401.321102-0.30.4-1.90.9
12Brandon CrawfordSTL582206242628.6%23.0%.139.280.231.305.371.29584-0.5-4.61.90.5
13Victor Scott IISTL5823532820165.9%18.6%.103.290.244.298.346.283760.7-6.22.10.4
14Alec BurlesonSTL612296252726.6%15.2%.142.283.259.312.401.30994-0.6-2.3-3.30.2
15Pedro PagésSTL82913307.8%25.3%.125.280.222.286.347.27873-0.1-1.01.00.1
16Thomas SaggeseSTL145627716.0%25.0%.154.316.253.304.407.30792-0.1-0.6-0.40.1
17Michael SianiSTL286617539.4%24.1%.100.264.208.285.308.266650.0-2.91.30.1
18José FermínSTL134215408.9%12.5%.093.267.243.319.336.29383-0.1-1.00.00.0
19Matt CarpenterSTL4817561921113.9%27.8%.172.266.208.328.380.31497-0.7-1.3-4.80.0
20Moisés GómezSTL123514406.4%36.2%.158.285.200.257.359.266650.0-1.5-0.4-0.1
21Alfonso Rivas IIISTL2474198110.0%27.7%.093.324.236.318.329.29081-0.1-1.8-1.8-0.1
22Luken BakerSTL175526709.0%27.6%.134.295.228.300.362.29282-0.1-1.3-1.8-0.1
#NameTeamGPAHRRRBISBBB%K%ISOBABIPAVGOBPSLGwOBAwRC+BsROffDefWAR
1Willson ContrerasSTL12048521626459.9%22.9%.203.296.254.348.457.348121-1.610.55.03.2
2Nolan ArenadoSTL14561725739047.6%15.0%.195.269.260.320.455.330108-1.15.14.63.1
3Paul GoldschmidtSTL147644248784712.0%22.7%.183.314.264.355.447.347120-0.615.0-11.32.6
4Nolan GormanSTL12752127697579.8%30.6%.223.298.238.318.461.334111-0.76.0-1.42.2
5Lars NootbaarSTL110461166451913.2%20.2%.179.291.253.354.432.342116-0.29.0-4.82.0
6Tommy EdmanSTL10241895641216.6%16.3%.142.293.260.316.402.312962.0-0.22.01.6
7Brendan DonovanSTL12049810644969.9%15.2%.125.308.272.359.397.334111-0.66.0-8.41.4
8Masyn WinnSTL11947795647137.2%19.8%.127.287.243.301.369.293830.2-9.87.31.4
9Jordan WalkerSTL133550186664108.0%22.8%.170.321.266.334.437.333110-0.86.1-12.21.3
10Iván HerreraSTL5119842321211.7%23.7%.128.309.244.343.372.318100-0.3-0.33.51.0
11Dylan CarlsonSTL803198383439.7%19.8%.152.292.248.332.401.321102-0.30.4-1.90.9
12Brandon CrawfordSTL582206242628.6%23.0%.139.280.231.305.371.29584-0.5-4.61.90.5
13Victor Scott IISTL5823532820165.9%18.6%.103.290.244.298.346.283760.7-6.22.10.4
14Alec BurlesonSTL612296252726.6%15.2%.142.283.259.312.401.30994-0.6-2.3-3.30.2
15Pedro PagésSTL82913307.8%25.3%.125.280.222.286.347.27873-0.1-1.01.00.1
16Thomas SaggeseSTL145627716.0%25.0%.154.316.253.304.407.30792-0.1-0.6-0.40.1
17Michael SianiSTL286617539.4%24.1%.100.264.208.285.308.266650.0-2.91.30.1
18José FermínSTL134215408.9%12.5%.093.267.243.319.336.29383-0.1-1.00.00.0
19Matt CarpenterSTL4817561921113.9%27.8%.172.266.208.328.380.31497-0.7-1.3-4.80.0
20Moisés GómezSTL123514406.4%36.2%.158.285.200.257.359.266650.0-1.5-0.4-0.1
21Alfonso Rivas IIISTL2474198110.0%27.7%.093.324.236.318.329.29081-0.1-1.8-1.8-0.1
22Luken BakerSTL175526709.0%27.6%.134.295.228.300.362.29282-0.1-1.3-1.8-0.1
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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.