2025 Projections






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    Historical Projections
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  • Splits - Steamer Preseason Projections
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  • Data Export [Members Only]
    #NameTeamGPAHRRRBISBBB%K%ISOBABIPAVGOBPSLGwOBAwRC+BsROffDefWAR
    1William ContrerasMIL147620238183710.7%21.2%.187.316.271.353.458.351125-1.517.45.84.5
    2Adley RutschmanBAL145614207873211.1%15.8%.168.278.257.343.425.334122-0.714.57.54.4
    3Cal RaleighSEA142573296883310.0%27.6%.218.253.219.301.437.318114-1.67.611.43.9
    4Will SmithLAD124510206770210.1%18.0%.192.275.253.340.445.339120-1.510.510.53.9
    5Gabriel MorenoARI1204529525459.3%16.5%.129.318.277.349.406.331111-1.44.612.03.3
    6Yainer DiazHOU13454120647414.4%17.9%.176.308.280.314.455.330117-2.08.84.43.2
    7Shea LangeliersATH12750126597037.5%27.2%.222.262.227.291.449.317111-1.25.09.03.2
    8Austin WellsNYY12246718505939.8%22.5%.184.266.232.314.417.318106-0.52.59.32.8
    9J.T. RealmutoPHI11345016555677.0%24.6%.174.304.250.314.424.320104-0.22.19.82.8
    10Logan O'HoppeLAA12649322596337.8%26.4%.197.288.241.310.438.324110-1.04.65.32.7
    11Sean MurphyATL11042917515309.8%23.3%.185.272.233.324.418.325107-1.02.79.42.7
    12Alejandro KirkTOR1084149394809.5%12.4%.127.277.259.335.386.317108-2.91.19.82.5
    13Francisco AlvarezNYM12246220556229.1%24.6%.196.268.232.310.429.320107-1.32.66.32.5
    14Iván HerreraSTL9535984338510.7%21.2%.138.316.261.347.399.3291130.15.65.12.3
    15Salvador PerezKCR14258324638505.3%21.7%.184.289.255.305.439.318106-2.61.31.22.3
    16Willson ContrerasSTL126530216865610.5%24.4%.188.300.248.348.436.343123-1.412.6-8.52.3
    17Ryan JeffersMIN10841417505238.1%22.9%.190.267.234.312.424.320110-0.93.83.62.2
    18Patrick BaileySFG1134289434438.1%23.7%.123.288.232.296.355.28784-0.5-8.613.72.0
    19Danny JansenTBR98372154345110.0%20.0%.188.242.223.312.411.316104-0.81.05.41.9
    20Bo NaylorCLE11039514444469.8%27.6%.168.265.213.295.381.29693-0.1-3.18.81.9
    21Tyler StephensonCIN11947015565918.9%23.7%.162.308.253.328.416.325102-1.6-0.63.61.9
    22Miguel AmayaCHC9433510343918.0%20.0%.147.273.237.313.384.30798-0.7-1.65.31.5
    23Keibert RuizWSN12448313485735.1%11.2%.141.250.244.290.385.29488-1.6-8.87.41.5
    24Connor WongBOS10640411454375.8%26.3%.146.312.244.297.390.300890.1-5.06.21.5
    25Jonah HeimTEX10238812404616.7%18.8%.148.253.228.283.375.28786-0.7-7.08.31.5
    26Carson KellyCHC823019313218.8%20.2%.141.263.229.305.370.29892-0.7-3.67.51.4
    27Joey BartPIT9736812414517.7%27.9%.152.304.237.308.389.30693-0.8-3.75.01.4
    28Freddy FerminKCR802946303116.8%19.4%.123.291.249.303.372.29690-0.5-3.97.51.4
    29Jake RogersDET9433812373917.4%30.0%.168.265.209.274.377.28485-0.2-6.28.21.4
    30Travis d'ArnaudLAA7327411313516.6%25.0%.177.277.234.295.411.30798-0.9-1.75.51.3
    #NameTeamGPAHRRRBISBBB%K%ISOBABIPAVGOBPSLGwOBAwRC+BsROffDefWAR
    1William ContrerasMIL147620238183710.7%21.2%.187.316.271.353.458.351125-1.517.45.84.5
    2Adley RutschmanBAL145614207873211.1%15.8%.168.278.257.343.425.334122-0.714.57.54.4
    3Cal RaleighSEA142573296883310.0%27.6%.218.253.219.301.437.318114-1.67.611.43.9
    4Will SmithLAD124510206770210.1%18.0%.192.275.253.340.445.339120-1.510.510.53.9
    5Gabriel MorenoARI1204529525459.3%16.5%.129.318.277.349.406.331111-1.44.612.03.3
    6Yainer DiazHOU13454120647414.4%17.9%.176.308.280.314.455.330117-2.08.84.43.2
    7Shea LangeliersATH12750126597037.5%27.2%.222.262.227.291.449.317111-1.25.09.03.2
    8Austin WellsNYY12246718505939.8%22.5%.184.266.232.314.417.318106-0.52.59.32.8
    9J.T. RealmutoPHI11345016555677.0%24.6%.174.304.250.314.424.320104-0.22.19.82.8
    10Logan O'HoppeLAA12649322596337.8%26.4%.197.288.241.310.438.324110-1.04.65.32.7
    11Sean MurphyATL11042917515309.8%23.3%.185.272.233.324.418.325107-1.02.79.42.7
    12Alejandro KirkTOR1084149394809.5%12.4%.127.277.259.335.386.317108-2.91.19.82.5
    13Francisco AlvarezNYM12246220556229.1%24.6%.196.268.232.310.429.320107-1.32.66.32.5
    14Iván HerreraSTL9535984338510.7%21.2%.138.316.261.347.399.3291130.15.65.12.3
    15Salvador PerezKCR14258324638505.3%21.7%.184.289.255.305.439.318106-2.61.31.22.3
    16Willson ContrerasSTL126530216865610.5%24.4%.188.300.248.348.436.343123-1.412.6-8.52.3
    17Ryan JeffersMIN10841417505238.1%22.9%.190.267.234.312.424.320110-0.93.83.62.2
    18Patrick BaileySFG1134289434438.1%23.7%.123.288.232.296.355.28784-0.5-8.613.72.0
    19Danny JansenTBR98372154345110.0%20.0%.188.242.223.312.411.316104-0.81.05.41.9
    20Bo NaylorCLE11039514444469.8%27.6%.168.265.213.295.381.29693-0.1-3.18.81.9
    21Tyler StephensonCIN11947015565918.9%23.7%.162.308.253.328.416.325102-1.6-0.63.61.9
    22Miguel AmayaCHC9433510343918.0%20.0%.147.273.237.313.384.30798-0.7-1.65.31.5
    23Keibert RuizWSN12448313485735.1%11.2%.141.250.244.290.385.29488-1.6-8.87.41.5
    24Connor WongBOS10640411454375.8%26.3%.146.312.244.297.390.300890.1-5.06.21.5
    25Jonah HeimTEX10238812404616.7%18.8%.148.253.228.283.375.28786-0.7-7.08.31.5
    26Carson KellyCHC823019313218.8%20.2%.141.263.229.305.370.29892-0.7-3.67.51.4
    27Joey BartPIT9736812414517.7%27.9%.152.304.237.308.389.30693-0.8-3.75.01.4
    28Freddy FerminKCR802946303116.8%19.4%.123.291.249.303.372.29690-0.5-3.97.51.4
    29Jake RogersDET9433812373917.4%30.0%.168.265.209.274.377.28485-0.2-6.28.21.4
    30Travis d'ArnaudLAA7327411313516.6%25.0%.177.277.234.295.411.30798-0.9-1.75.51.3
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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
    • OOPSY:OOPSY projections courtesy of Jordan Rosenblum, with Depth Charts playing time. Peak version and other flavors available at scoutthestatline.com. Stuff+ courtesy of Eno Sarris.

    • 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.