2024 Projections

Data Export [Members Only]
#NameTeamGPAHRRRBISBBB%K%ISOBABIPAVGOBPSLGwOBAwRC+BsROffDefWAR
1Yandy DíazTBR136591178168112.0%14.6%.157.324.293.384.450.364131-2.520.2-9.73.1
2Randy ArozarenaTBR1486362587802510.4%24.2%.195.311.258.349.453.347120-0.714.6-9.62.7
3Isaac ParedesTBR132541246576110.6%17.6%.203.252.241.334.444.337113-1.57.0-0.32.5
4Brandon LoweTBR113476226265610.6%26.2%.210.278.234.324.445.3321090.25.6-0.32.1
5Josh LoweTBR109442145655217.8%27.1%.177.328.256.317.433.3221031.42.8-3.51.4
6Jose SiriTBR120462206057196.1%34.3%.197.299.223.276.420.298861.4-6.24.81.4
7Junior CamineroTBR7129911364036.7%20.8%.176.302.264.318.440.326105-0.51.3-0.91.1
8René PintoTBR9834713344214.5%32.9%.171.304.227.267.398.28578-0.6-10.08.01.0
9Amed RosarioTBR9338064740104.8%18.1%.123.315.269.308.392.303900.2-4.50.70.9
10José CaballeroTBR77274534252110.5%23.1%.120.284.226.328.346.303890.6-2.92.40.9
11Taylor WallsTBR64249529231011.6%25.8%.124.268.206.301.330.283760.5-6.92.90.5
12Curtis MeadTBR532135242428.1%20.1%.144.303.256.323.400.31598-0.4-1.0-3.10.3
13Ben RortvedtTBR351123111109.4%27.8%.136.244.192.277.328.26967-0.2-4.73.90.3
14Harold RamírezTBR783117343934.8%17.5%.131.322.281.323.412.318100-0.5-0.4-7.30.3
15Jonathan ArandaTBR692487293019.7%25.7%.156.317.249.332.404.321102-0.40.2-6.10.3
16Jonny DeLucaTBR441575181837.4%21.2%.173.263.230.295.403.30289-0.1-2.2-0.90.2
17Richie PalaciosTBR612214242259.1%16.3%.134.275.243.320.377.30692-0.3-2.5-3.30.2
18Alex JacksonTBR135225606.2%33.2%.192.272.209.266.400.28779-0.1-1.51.30.2
19Yu ChangTBR31913101026.2%29.2%.160.268.211.268.371.27872-0.1-3.11.00.1
20Osleivis BasabeTBR93204305.9%19.2%.076.311.254.301.330.279730.0-1.10.60.1
21Dominic SmithTBR461714181817.7%18.4%.129.293.253.321.381.30893-0.6-2.0-3.10.1
22Austin ShentonTBR728133010.2%30.7%.152.310.223.313.375.30490-0.1-0.4-0.30.0
23Rob BrantlyTBR92702205.4%17.9%.090.265.224.284.314.267650.0-1.20.10.0
24Jake MangumTBR52002204.5%21.2%.068.318.251.287.319.268660.0-0.9-0.10.0
#NameTeamGPAHRRRBISBBB%K%ISOBABIPAVGOBPSLGwOBAwRC+BsROffDefWAR
1Yandy DíazTBR136591178168112.0%14.6%.157.324.293.384.450.364131-2.520.2-9.73.1
2Randy ArozarenaTBR1486362587802510.4%24.2%.195.311.258.349.453.347120-0.714.6-9.62.7
3Isaac ParedesTBR132541246576110.6%17.6%.203.252.241.334.444.337113-1.57.0-0.32.5
4Brandon LoweTBR113476226265610.6%26.2%.210.278.234.324.445.3321090.25.6-0.32.1
5Josh LoweTBR109442145655217.8%27.1%.177.328.256.317.433.3221031.42.8-3.51.4
6Jose SiriTBR120462206057196.1%34.3%.197.299.223.276.420.298861.4-6.24.81.4
7Junior CamineroTBR7129911364036.7%20.8%.176.302.264.318.440.326105-0.51.3-0.91.1
8René PintoTBR9834713344214.5%32.9%.171.304.227.267.398.28578-0.6-10.08.01.0
9Amed RosarioTBR9338064740104.8%18.1%.123.315.269.308.392.303900.2-4.50.70.9
10José CaballeroTBR77274534252110.5%23.1%.120.284.226.328.346.303890.6-2.92.40.9
11Taylor WallsTBR64249529231011.6%25.8%.124.268.206.301.330.283760.5-6.92.90.5
12Curtis MeadTBR532135242428.1%20.1%.144.303.256.323.400.31598-0.4-1.0-3.10.3
13Ben RortvedtTBR351123111109.4%27.8%.136.244.192.277.328.26967-0.2-4.73.90.3
14Harold RamírezTBR783117343934.8%17.5%.131.322.281.323.412.318100-0.5-0.4-7.30.3
15Jonathan ArandaTBR692487293019.7%25.7%.156.317.249.332.404.321102-0.40.2-6.10.3
16Jonny DeLucaTBR441575181837.4%21.2%.173.263.230.295.403.30289-0.1-2.2-0.90.2
17Richie PalaciosTBR612214242259.1%16.3%.134.275.243.320.377.30692-0.3-2.5-3.30.2
18Alex JacksonTBR135225606.2%33.2%.192.272.209.266.400.28779-0.1-1.51.30.2
19Yu ChangTBR31913101026.2%29.2%.160.268.211.268.371.27872-0.1-3.11.00.1
20Osleivis BasabeTBR93204305.9%19.2%.076.311.254.301.330.279730.0-1.10.60.1
21Dominic SmithTBR461714181817.7%18.4%.129.293.253.321.381.30893-0.6-2.0-3.10.1
22Austin ShentonTBR728133010.2%30.7%.152.310.223.313.375.30490-0.1-0.4-0.30.0
23Rob BrantlyTBR92702205.4%17.9%.090.265.224.284.314.267650.0-1.20.10.0
24Jake MangumTBR52002204.5%21.2%.068.318.251.287.319.268660.0-0.9-0.10.0
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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.