DataBaseball
2026

2026 season · rankings

2026 MLB Pitching Leaders

59 players qualified at 118.4 innings pitched, ranked by dbWAR. Every column sorts across the full qualified set — not just the rows shown — and the whole table downloads as Parquet.

RoleLeaguePool
Who
59 of 59 qualifiedDownload Parquet
#
1Jacob Misiorowski242222133.011502041.762.170.7413.838.3%19.8%6.0%34.6%524.3
2Dylan Cease312121126.17501842.282.201.0413.134.9%16.2%10.3%26.1%534.0
3Cam Schlittler252525146.210601822.212.600.9311.228.6%15.2%5.4%26.1%624.0
4Cristopher Sánchez302424149.215401742.652.691.2210.532.8%16.5%5.6%22.2%644.0
5Chris Sale372121123.012701512.202.401.0211.030.7%15.4%5.7%24.9%583.7
6Jesús Luzardo292424143.210501763.322.831.1411.031.8%14.8%7.4%22.3%683.6
7Paul Skenes242424129.291001623.962.911.1211.228.9%14.8%6.8%23.7%703.1
8Drew Rasmussen312222124.111501302.752.930.919.425.6%12.9%4.5%22.3%703.0
9Parker Messick262323136.29601362.573.191.049.025.6%12.4%7.0%18.1%762.9
10Gavin Williams272424144.211601853.553.421.0411.531.2%15.6%7.2%25.1%822.7
11Logan Webb302121133.07701033.593.271.087.020.5%9.8%5.9%13.2%782.7
12Bryan Woo262222127.18801274.313.201.129.025.1%13.3%5.2%19.1%772.7
13Shane Baz272323136.141101203.763.361.327.922.1%10.8%7.9%12.8%802.6
14Yoshinobu Yamamoto282121139.111701272.653.440.898.225.8%12.7%6.0%17.8%822.5
15Chase Burns232222124.013201432.613.281.1210.431.7%15.6%9.2%19.3%792.5
16Sandy Alcantara312525163.213601283.523.771.177.021.9%11.2%6.2%12.8%902.4
17Jacob deGrom382222118.28701443.873.281.1310.933.3%17.2%6.2%23.5%792.4
18Sean Burke272319128.27601443.083.361.1210.125.6%12.5%7.4%20.0%802.4
19Logan Gilbert292323139.18701453.423.571.009.429.9%15.3%5.8%20.6%862.3
20Joe Ryan302323125.26801383.653.411.149.925.5%12.8%5.2%21.2%822.3
21Kevin Gausman352424134.161001314.293.531.268.827.0%13.6%6.5%16.6%852.3
22Nolan McLean252323130.28701563.513.491.1610.725.4%11.1%8.8%19.7%842.3
23Reid Detmers272323129.03801504.123.471.1010.528.8%14.1%7.4%20.9%832.3
24Davis Martin292323123.09601084.173.491.337.923.9%11.7%7.3%13.5%832.2
25Landen Roupp282323123.271101234.223.521.299.025.3%10.9%10.9%12.6%842.1
26Cade Cavalli282525128.29501413.573.601.309.925.3%12.1%7.1%18.5%862.1
27Braxton Ashcraft272323132.111501454.083.651.169.926.2%13.7%5.9%20.7%872.1
28Sonny Gray372121119.214201062.783.521.158.023.2%11.0%6.6%15.3%842.1
29George Kirby282222132.08901123.683.671.277.622.2%11.6%5.2%15.5%882.1
30Eduardo Rodriguez332424143.111401012.703.841.236.320.6%9.8%8.0%9.2%922.0
31Ryan Weathers272222121.05701323.793.651.229.827.4%12.5%6.8%19.5%871.9
32MacKenzie Gore272424128.26901404.553.761.249.825.6%12.7%8.6%17.0%901.9
33Andre Pallante282222124.01260903.633.721.226.521.7%9.8%7.2%10.3%891.9
34José Soriano282323127.29601303.243.781.269.231.6%14.7%11.3%13.2%901.8
35Noah Cameron272221123.26801164.373.731.298.425.7%12.3%7.6%14.4%891.8
36Taj Bradley252323131.29401483.763.841.2510.126.3%12.4%9.9%16.7%921.8
37Emerson Hancock272222121.06701113.353.731.128.323.2%12.0%6.1%16.5%891.8
38Kyle Bradish302323127.071101213.693.861.348.624.8%11.2%10.1%12.5%921.7
39Michael Wacha352323144.05801123.444.021.157.021.2%10.2%7.0%12.1%961.7
40Nick Martinez362222129.01130732.654.001.105.117.5%8.9%3.9%10.2%961.5
41Keider Montero262519122.1871863.383.871.016.319.2%9.3%5.7%11.8%931.5
42Joey Cantillo272525119.28701323.913.961.489.930.5%13.7%10.7%14.6%951.5
43Framber Valdez332323127.17701034.174.041.377.320.7%9.7%8.1%10.4%971.5
44Michael King312424136.17801203.374.171.177.925.7%11.9%9.8%11.6%1001.4
45Foster Griffin312323133.112401223.314.201.118.224.3%11.8%5.9%16.5%1011.3
46Seth Lugo372424134.25701044.414.251.377.018.5%8.5%8.0%10.1%1021.2
47Justin Wrobleski262019120.11140943.444.131.117.019.4%9.8%5.5%13.6%991.2
48Nathan Eovaldi362222132.210901374.214.261.219.330.5%15.9%5.8%18.9%1021.2
49Michael McGreevy262323126.0490853.644.251.226.118.7%8.5%6.2%10.3%1021.2
50J.T. Ginn272421121.18601073.414.221.217.927.4%12.5%10.4%10.6%1011.1
Reading this table

FIP estimates what a pitcher's ERA would be given only the outcomes they control directly — strikeouts, walks, hit batters and home runs. FIP− indexes that against the league, so 100 is average and lower is better. dbWAR is our own open implementation, not fWAR or bWAR. See the full derivation →