DataBaseball
2026

2016 season · rankings

2016 MLB Pitching Leaders

74 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. Filter by position, cohort, league or country of birth, several countries at a time.

RoleLeaguePool
Who
Born in
74 of 74 qualifiedDownload Parquet
#
1Noah SyndergaardUnited States243130183.214902182.602.291.1510.730.4%15.4%5.8%23.5%556.2
2José FernándezCuba242929182.116802532.862.301.1212.532.8%15.1%7.5%26.9%555.9
3Johnny CuetoDominican Republic303232219.218501982.792.961.098.121.8%10.5%5.1%17.4%715.8
4Madison BumgarnerUnited States273434226.215902512.743.241.0310.025.9%12.4%5.9%21.6%775.2
5Corey KluberUnited States303232215.018902273.143.261.069.528.2%13.7%6.6%19.8%785.2
6Max ScherzerUnited States323434228.120702842.963.240.9711.232.4%16.8%6.2%25.3%775.1
7Rick PorcelloUnited States283333223.022401893.153.401.017.618.6%9.0%3.6%17.6%815.0
8David PriceUnited States313535230.017902283.993.601.208.924.8%12.7%5.3%18.7%864.6
9Justin VerlanderUnited States333434227.216902543.043.481.0010.026.9%13.5%6.3%21.8%834.6
10Chris SaleUnited States273232226.2171002333.343.461.049.324.7%12.2%5.0%20.7%834.5
11Kyle HendricksUnited States273130190.016801702.133.200.988.124.7%10.7%5.9%16.9%764.2
12Jon LesterUnited States323232202.219501972.443.411.028.724.0%11.3%6.5%18.2%814.1
13Masahiro TanakaJapan283131199.214401653.073.511.087.423.3%11.7%4.5%16.0%844.0
14Aaron SanchezUnited States243030192.015201613.003.551.177.521.0%9.1%8.0%12.4%853.9
15Jose QuintanaColombia273232208.0131201813.203.561.167.818.6%8.5%6.0%15.7%853.9
16Marcus StromanUnited States253232204.091001664.373.711.297.321.5%10.2%6.3%13.1%893.8
17Jake ArrietaUnited States303131197.118801903.103.521.088.725.2%11.5%9.6%14.3%843.7
18Jon GrayUnited States252929168.0101001854.613.601.269.926.5%13.0%8.3%17.7%863.6
19Carlos MartinezDominican Republic253131195.116901743.043.611.228.023.1%10.9%8.7%12.9%863.5
20Julio TeheranColombia253030188.071001673.213.691.058.024.1%11.7%5.4%16.6%883.4
21Tanner RoarkUnited States303433210.0161001722.833.791.177.421.9%9.6%8.5%11.6%903.4
22Jeff SamardzijaUnited States313232203.1121101673.813.851.207.420.7%10.1%6.5%13.6%923.2
23Robbie RayUnited States253232174.181502184.903.761.4711.326.6%12.4%9.1%18.9%903.2
24Chris ArcherUnited States283333201.191902334.023.811.2410.429.6%13.5%7.9%19.5%913.1
25Kenta MaedaJapan283232175.2161101793.483.581.149.227.5%12.6%7.0%18.0%853.1
26Cole HamelsUnited States333232200.215502003.323.981.319.027.2%13.2%9.1%14.5%953.1
27J.A. HappUnited States343232195.020401633.183.961.177.522.3%10.5%7.5%12.9%943.0
28Ervin SantanaDominican Republic343030181.171101493.383.811.227.422.9%10.8%7.1%12.8%913.0
29Michael PinedaDominican Republic273232175.261202074.823.801.3510.631.2%15.2%7.0%20.4%912.9
30Gio GonzalezUnited States313232177.1111101714.573.761.348.723.4%10.3%7.7%14.6%902.9
31John LackeyUnited States382929188.111801803.353.811.068.625.4%12.5%7.1%17.0%912.9
32Adam WainwrightUnited States353333198.213901614.623.931.407.320.1%8.9%7.0%12.0%942.8
33Drew PomeranzUnited States283130170.2111201863.323.801.189.825.9%12.0%9.2%17.2%912.8
34Trevor BauerUnited States253528190.012801684.263.991.318.022.5%10.0%8.6%12.1%952.7
35Mike LeakeUnited States293030176.291201254.693.831.326.416.3%7.8%4.0%12.5%912.7
36Danny DuffyUnited States284226179.212301883.513.831.149.427.3%14.0%5.7%20.0%912.7
37Bartolo ColonDominican Republic433433191.215801283.433.991.216.013.5%6.4%4.0%12.1%952.7
38Chad BettisUnited States273232186.014801384.794.261.416.721.6%9.7%7.2%9.7%1022.5
39Ricky NolascoUnited States343232197.281401444.424.141.246.620.9%9.7%5.4%12.2%992.5
40Jeremy HellicksonUnited States293232189.0121001543.713.981.157.324.0%11.5%5.8%14.1%952.5
41Zach DaviesUnited States232828163.111701353.973.891.257.420.3%9.0%5.6%14.2%932.5
42Collin McHughUnited States293333184.2131001774.343.951.418.623.9%11.4%6.8%15.5%942.5
43Dallas KeuchelUnited States282626168.091201444.553.871.297.723.2%10.2%6.8%13.7%922.4
44Marco EstradaMexico332929176.09901653.484.151.128.426.2%12.0%9.0%13.8%992.4
45Kevin GausmanUnited States253030179.291201743.614.101.288.725.4%12.3%6.2%16.8%982.2
46Matt MooreUnited States273333198.1131201784.084.171.298.124.2%11.4%8.6%12.6%1002.2
47Carlos RodónUnited States242828165.091001684.044.011.399.223.6%10.9%7.6%15.9%962.2
48Jerad EickhoffUnited States263333197.1111401673.654.191.167.621.6%9.9%5.2%15.4%1002.1
49Hisashi IwakumaJapan353333199.0161201474.124.271.336.617.4%8.5%5.5%12.1%1022.1
50CC SabathiaUnited States363030179.291201523.914.281.327.623.0%10.7%8.5%11.3%1022.0
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 →