2024 Projections

BattersPitchers
Position:
All Positions
All PositionsC1B2B3BSSLFCFRFOFDH
League:
MLB
MLB
Team:
All Teams
All Teams
Pre-Season Projections
ZiPS
ZiPS DC
Steamer
Depth Charts
ATC
THE BAT
THE BAT X
600 PA / 200 IP Projections
Steamer600
Steamer600 (Update)
Updated In-Season Projections
ZiPS (RoS)
ZiPS (Update)
ZiPS DC (RoS)
Steamer (RoS)
Steamer (Update)
Depth Charts (RoS)
ATC DC (RoS)
THE BAT (RoS)
THE BAT X (RoS)
3 Year Projections
ZiPS 2025
ZiPS 2026
On-Pace Leaders
Every Game Played
Games Played %
Pre-Season
ATC
ZiPSZiPS DCSteamerDepth ChartsATCTHE BATTHE BAT X
600 PA / 200 IP
600 PA / 200 IP
Steamer600Steamer600 (Update)
In-Season
In-Season
ZiPS (RoS)ZiPS (Update)ZiPS DC (RoS)Steamer (RoS)Steamer (Update)Depth Charts (RoS)ATC DC (RoS)THE BAT (RoS)THE BAT X (RoS)
3 Year
3 Year
ZiPS 2025ZiPS 2026
On-Pace
On-Pace
Every Game PlayedGames Played %
Dashboard
Standard
Advanced
Fantasy
Data Export [Members Only]
#NameTeamGPAHRRRBISBBB%K%ISOBABIPAVGOBPSLGwOBAwRC+BsROffDefWAR
1Rafael DeversBOS150651359310049.4%19.1%.246.303.282.356.528.372133-0.924.6-2.34.4
2Triston CasasBOS142578277578113.5%23.8%.221.298.254.358.475.358123-1.814.2-11.82.2
3Trevor StoryBOS120504186563207.9%28.7%.183.306.239.306.422.313921.2-3.64.91.8
4Vaughn GrissomBOS11948195853107.8%16.9%.128.323.278.345.407.328102-0.51.0-0.31.7
5Tyler O'NeillBOS121492216764129.3%27.1%.202.308.250.327.452.3361070.24.6-4.91.6
6Masataka YoshidaBOS13556816707168.1%13.1%.158.310.289.353.447.346115-1.78.2-13.71.4
7Jarren DuranBOS128521137054287.1%25.4%.164.334.261.320.425.322981.50.2-4.71.3
8Ceddanne RafaelaBOS121471125953184.5%23.9%.151.313.253.294.405.30183-0.1-9.43.31.0
9Connor WongBOS10136311433965.7%30.6%.158.320.237.288.395.29580-0.2-9.25.70.9
10Wilyer AbreuBOS85339114440811.6%26.2%.166.304.239.331.405.32298-0.7-1.4-2.60.7
11Reese McGuireBOS712452232025.7%23.0%.096.314.245.294.340.27968-0.7-10.07.30.6
12Rob RefsnyderBOS5017632218311.0%22.7%.124.328.260.352.384.326101-0.3-0.1-2.60.3
13Enmanuel ValdezBOS411495181838.1%23.8%.177.292.244.309.421.31593-0.2-1.4-1.10.3
14Pablo ReyesBOS371292151348.2%17.9%.120.289.249.314.369.30083-0.1-2.80.50.2
15Garrett CooperBOS672699293308.1%27.3%.161.324.252.320.413.318100-1.2-1.1-6.20.2
16Roberto PérezBOS1658266010.5%33.0%.144.275.200.288.345.28170-0.2-2.31.50.1
17Tyler HeinemanBOS123803308.8%18.7%.083.275.224.299.307.27364-0.1-1.71.00.1
18David HamiltonBOS103104329.4%25.5%.099.288.220.295.319.275650.1-1.20.40.0
19Romy GonzalezBOS2480210934.9%33.5%.138.316.224.264.361.271620.1-3.50.50.0
20Bobby DalbecBOS511828212228.3%38.4%.186.323.218.293.404.30284-0.3-3.7-4.3-0.2
#NameTeamGPAHRRRBISBBB%K%ISOBABIPAVGOBPSLGwOBAwRC+BsROffDefWAR
1Rafael DeversBOS150651359310049.4%19.1%.246.303.282.356.528.372133-0.924.6-2.34.4
2Triston CasasBOS142578277578113.5%23.8%.221.298.254.358.475.358123-1.814.2-11.82.2
3Trevor StoryBOS120504186563207.9%28.7%.183.306.239.306.422.313921.2-3.64.91.8
4Vaughn GrissomBOS11948195853107.8%16.9%.128.323.278.345.407.328102-0.51.0-0.31.7
5Tyler O'NeillBOS121492216764129.3%27.1%.202.308.250.327.452.3361070.24.6-4.91.6
6Masataka YoshidaBOS13556816707168.1%13.1%.158.310.289.353.447.346115-1.78.2-13.71.4
7Jarren DuranBOS128521137054287.1%25.4%.164.334.261.320.425.322981.50.2-4.71.3
8Ceddanne RafaelaBOS121471125953184.5%23.9%.151.313.253.294.405.30183-0.1-9.43.31.0
9Connor WongBOS10136311433965.7%30.6%.158.320.237.288.395.29580-0.2-9.25.70.9
10Wilyer AbreuBOS85339114440811.6%26.2%.166.304.239.331.405.32298-0.7-1.4-2.60.7
11Reese McGuireBOS712452232025.7%23.0%.096.314.245.294.340.27968-0.7-10.07.30.6
12Rob RefsnyderBOS5017632218311.0%22.7%.124.328.260.352.384.326101-0.3-0.1-2.60.3
13Enmanuel ValdezBOS411495181838.1%23.8%.177.292.244.309.421.31593-0.2-1.4-1.10.3
14Pablo ReyesBOS371292151348.2%17.9%.120.289.249.314.369.30083-0.1-2.80.50.2
15Garrett CooperBOS672699293308.1%27.3%.161.324.252.320.413.318100-1.2-1.1-6.20.2
16Roberto PérezBOS1658266010.5%33.0%.144.275.200.288.345.28170-0.2-2.31.50.1
17Tyler HeinemanBOS123803308.8%18.7%.083.275.224.299.307.27364-0.1-1.71.00.1
18David HamiltonBOS103104329.4%25.5%.099.288.220.295.319.275650.1-1.20.40.0
19Romy GonzalezBOS2480210934.9%33.5%.138.316.224.264.361.271620.1-3.50.50.0
20Bobby DalbecBOS511828212228.3%38.4%.186.323.218.293.404.30284-0.3-3.7-4.3-0.2
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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.