DataBaseball
2026

2009 season · rankings

2009 MLB Pitching Leaders

78 players qualified at 162 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
78 of 78 qualifiedDownload Parquet
#
1Zack GreinkeUnited States263333229.116802422.162.331.079.523.4%10.5%5.6%20.9%548.0
2Tim LincecumUnited States253232225.115702612.482.341.0510.426.3%11.6%7.5%21.3%547.8
3Justin VerlanderUnited States263535240.019902693.452.801.1810.124.5%12.1%6.4%21.0%657.0
4Javier VazquezPuerto Rico333232219.1151002382.872.771.039.827.7%13.1%5.0%22.2%646.3
5Roy HalladayUnited States323232239.0171002082.793.061.137.820.8%10.3%3.6%18.0%716.1
6Félix HernándezVenezuela233434238.219502172.493.091.148.224.3%11.3%7.3%14.9%716.0
7Dan HarenUnited States293333229.1141002233.143.231.008.824.4%11.2%4.2%20.4%755.8
8Adam WainwrightUnited States283434233.019802122.633.111.218.221.8%9.6%6.8%15.1%725.8
9Josh JohnsonUnited States253333209.015501913.233.061.168.222.5%10.2%6.8%15.6%715.6
10Cliff LeeUnited States313434231.2141301813.223.111.247.016.8%8.4%4.4%14.2%725.6
11Chris CarpenterUnited States342828192.217401442.242.781.016.721.2%9.8%5.1%14.1%645.5
12Ubaldo JiménezDominican Republic253333218.0151201983.473.361.238.223.5%10.3%9.3%12.4%785.3
13Jon LesterUnited States253232203.115802253.413.151.2310.025.4%11.7%7.6%19.1%735.2
14CC SabathiaUnited States293434230.019801973.373.391.157.724.5%11.7%7.1%13.9%795.1
15Joel PineiroPuerto Rico313232214.0151201053.493.271.144.413.3%6.2%3.1%9.0%764.9
16Ricky NolascoUnited States273131185.013901955.063.351.259.522.4%10.7%5.6%19.2%784.4
17Josh BeckettUnited States293232212.117601993.863.631.198.419.7%8.9%6.2%16.3%844.3
18Clayton KershawUnited States213130171.08801852.793.081.239.724.6%10.7%13.0%13.4%714.2
19Wandy RodriguezDominican Republic303333205.2141201933.023.541.248.421.8%9.8%7.4%15.3%824.1
20Jair JurrjensCuraçao233434215.0141001522.603.681.216.418.9%8.7%8.5%8.7%853.9
21Matt CainUnited States253333217.214801712.893.891.187.121.2%10.2%8.2%11.1%903.7
22Cole HamelsUnited States263232193.2101101684.323.721.297.825.1%12.4%5.3%15.4%863.6
23Ted LillyUnited States332727177.012901513.103.651.067.720.6%10.1%5.1%16.3%843.6
24Ryan DempsterCanada323131200.011901723.653.871.307.726.3%11.9%7.7%12.7%903.6
25Gavin FloydUnited States263030193.0111101634.063.771.237.623.4%10.6%7.4%13.0%873.5
26Carlos ZambranoVenezuela282828169.19701523.773.611.388.120.3%9.2%10.6%10.1%843.5
27Jason HammelUnited States273430176.210801334.333.711.396.821.0%10.1%5.4%11.8%863.5
28Jason MarquisUnited States313333216.0151301154.044.101.384.816.4%7.2%8.7%3.8%953.4
29Paul MaholmUnited States273131194.28901194.443.831.445.516.6%7.7%7.2%7.1%893.4
30James ShieldsUnited States283333219.2111201674.144.021.326.821.5%10.4%5.6%12.4%933.3
31Jorge De La RosaMexico283332185.016901934.383.911.389.425.4%11.2%10.4%13.8%903.3
32John LackeyUnited States312727176.111801393.833.731.277.120.4%9.0%6.3%12.3%863.3
33Brett AndersonUnited States213030175.1111101504.063.691.287.718.1%8.0%6.1%14.3%853.3
34Randy WolfUnited States333434214.111701603.233.961.106.716.8%8.0%6.7%11.8%923.2
35Chad BillingsleyUnited States253332196.1121101794.033.821.328.225.3%11.4%10.4%11.3%883.2
36Roy OswaltUnited States323030181.18601384.123.761.246.820.4%10.1%5.5%12.7%873.2
37Jered WeaverUnited States273333211.016801743.754.041.247.422.2%9.9%7.5%12.2%943.2
38Kevin CorreiaUnited States293333198.0121101423.913.811.306.518.9%8.4%7.7%9.4%883.1
39Max ScherzerUnited States253030170.191101744.123.871.349.223.9%11.3%8.5%15.0%893.1
40Scott BakerUnited States283333200.015901624.374.081.197.320.6%11.1%5.8%13.8%943.0
41Randy WellsUnited States272727165.1121001043.053.881.285.719.3%8.9%6.6%8.4%902.9
42Johan SantanaVenezuela302525166.213901463.133.791.217.922.5%11.8%6.6%14.3%882.9
43Carl PavanoUnited States333333199.1141201475.104.001.376.619.3%9.2%4.6%12.6%922.8
44Yovani GallardoMexico233030185.2131202043.733.971.319.924.0%9.7%11.9%13.9%922.8
45Matt GarzaUnited States263232203.081201893.954.171.268.420.3%8.9%9.2%12.8%962.7
46Zach DukeUnited States263232213.0111601064.064.241.314.515.2%7.4%5.5%6.4%982.7
47Derek LoweUnited States363434194.2151001114.674.061.525.115.2%6.5%7.4%5.6%942.7
48Edwin JacksonGermany263333214.013901613.624.281.266.822.0%10.6%7.9%10.2%992.6
49Andy PettitteUnited States373232194.214801484.164.151.386.819.4%8.2%9.1%8.6%962.6
50Jeff NiemannUnited States263130180.213601253.944.071.356.216.0%7.3%7.7%8.6%942.6
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 →