DataBaseball
2026

2015 season · rankings

2015 MLB Pitching Leaders

78 players qualified at 161.9 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.

TableBattingPitching
RoleLeaguePool
Who
78 of 78 qualifiedDownload Parquet
#
1Clayton Kershaw273333232.216703012.131.990.8811.632.6%16.7%4.7%29.1%507.9
2Jake Arrieta293333229.022602361.772.350.869.325.3%12.0%5.5%21.6%596.8
3Max Scherzer313333228.2141202762.792.770.9210.930.9%17.1%3.8%26.9%705.6
4Zack Greinke323232222.219302001.662.760.848.127.1%13.0%4.7%19.0%705.5
5David Price303232220.118502252.452.781.089.225.4%13.0%5.3%20.0%705.4
6Gerrit Cole253232208.019802022.602.661.098.723.1%11.2%5.3%19.0%675.4
7Dallas Keuchel273333232.020802162.482.911.028.425.2%11.2%5.6%18.1%735.3
8Chris Sale263131208.2131102743.412.731.0911.832.7%16.2%4.9%27.2%695.2
9Madison Bumgarner263232218.118902342.932.871.019.627.0%13.6%4.5%22.4%735.1
10Corey Kluber293232222.091602453.492.971.059.927.0%13.8%5.1%22.6%754.9
11Chris Archer273434212.0121302523.232.901.1410.729.7%14.0%7.6%21.4%734.9
12Jacob deGrom273030191.014802052.542.700.989.727.0%14.0%5.1%22.2%684.8
13Jon Lester313232205.0111202073.342.921.129.124.5%11.2%5.7%19.3%744.7
14Carlos Carrasco283030183.2141202163.632.841.0710.628.6%14.9%5.9%23.7%724.4
15Tyson Ross283333196.0101202123.262.981.319.730.6%13.2%10.2%15.6%754.3
16Jose Quintana263232206.191001773.363.181.277.721.7%10.1%5.1%15.4%804.1
17Matt Harvey262929189.113801882.713.051.028.926.5%12.9%4.9%20.0%774.0
18Gio Gonzalez303131175.211801693.793.051.428.723.7%10.6%9.1%13.2%773.7
19Francisco Liriano323131186.212702053.383.191.219.933.5%15.1%9.1%17.5%803.7
20Cole Hamels323232212.113802153.653.471.199.128.4%14.4%7.0%17.4%883.5
21Sonny Gray263131208.014701692.733.451.087.322.5%10.6%7.1%13.2%873.5
22Carlos Martinez243129179.214701843.013.211.299.224.1%11.4%8.3%16.0%813.4
23Shelby Miller253333205.161701713.023.451.257.521.2%10.4%8.5%11.4%873.4
24Johnny Cueto293232212.0111301763.443.531.137.522.1%11.0%5.3%15.0%893.3
25John Lackey373333218.0131001752.773.561.217.220.3%10.3%5.9%13.6%903.3
26Kyle Hendricks263232180.08701673.953.361.168.320.4%8.9%5.8%16.8%853.2
27Collin McHugh283232203.219701713.893.581.287.623.6%11.3%6.2%13.7%903.1
28Lance Lynn283131175.1121101673.033.441.378.621.2%9.9%9.1%13.2%872.9
29J.A. Happ333231172.011801513.613.411.277.920.2%9.3%6.3%14.8%862.9
30A.J. Burnett382626164.09701433.183.361.367.822.3%10.0%7.0%13.4%852.9
31Danny Salazar253030185.0141001953.453.611.139.525.6%12.8%7.0%18.8%912.7
32Félix Hernández293131201.218901913.533.721.188.525.1%11.8%7.0%16.1%942.7
33Jordan Zimmermann293333201.2131001643.663.751.207.319.1%9.6%4.7%15.0%952.6
34Alex Wood243232189.2121201393.843.691.366.619.6%8.8%7.4%10.0%932.6
35Anthony DeSclafani253131184.291301514.053.671.357.421.6%10.5%7.0%12.2%932.6
36Jake Odorizzi252828169.19901503.353.611.158.023.4%11.4%6.6%14.9%912.5
37Yordano Ventura242828163.113801564.083.571.308.624.4%11.1%8.4%14.1%902.5
38Garrett Richards273232207.1151201763.653.861.247.626.0%12.0%8.8%11.6%972.4
39Edinson Volquez323433200.113901553.553.821.317.022.5%10.3%8.5%9.8%962.4
40Wade Miley293232193.2111101474.463.811.376.821.0%9.1%7.7%10.0%962.4
41Jason Hammel333131170.210701723.743.681.169.125.0%12.0%5.6%18.6%932.4
42Bartolo Colon423331194.2141301364.163.841.246.314.7%7.1%2.9%13.7%972.3
43Andrew Cashner293131184.261601654.343.851.448.019.7%9.0%8.2%12.3%972.2
44Michael Wacha243030181.117701533.383.871.217.621.5%10.9%7.6%12.5%982.1
45Kyle Gibson283232194.2111101453.843.961.296.722.9%10.6%7.9%9.7%1002.1
46Brett Anderson273131180.110901163.693.941.335.818.4%8.5%6.1%9.3%1001.9
47Erasmo Ramírez253427163.111601263.753.761.136.923.8%11.8%6.0%12.9%951.9
48Scott Kazmir313131183.071101553.103.981.217.623.1%11.2%7.7%12.6%1001.9
49Yovani Gallardo293333184.1131101213.424.001.425.916.9%7.1%8.6%6.7%1011.9
50Ubaldo Jiménez313232184.0121001684.114.011.368.221.4%9.0%8.6%12.6%1011.8
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 →