DataBaseball
2026

2007 season · rankings

2007 MLB Pitching Leaders

80 players qualified at 162.1 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
80 of 80 qualifiedDownload Parquet
#
1CC SabathiaUnited States273434241.019702093.213.141.147.824.7%12.1%3.8%17.6%706.6
2Jake PeavyUnited States263434223.119602402.542.841.069.723.8%11.3%7.6%19.2%646.2
3Brandon WebbUnited States283434236.1181001943.013.241.197.421.3%9.6%7.4%12.5%726.2
4Josh BeckettUnited States273030200.220701943.273.081.148.720.6%9.5%4.9%18.7%695.7
5John SmoltzUnited States403232205.214801973.113.211.188.628.9%14.7%5.5%17.6%725.2
6John LackeyUnited States293333224.019901793.013.541.217.220.2%9.3%5.6%13.7%795.1
7Tim HudsonUnited States323434224.1161001323.333.461.225.319.7%9.2%5.7%8.5%775.0
8Joe BlantonUnited States273434230.0141001403.953.501.225.515.6%7.0%4.2%10.5%784.9
9Erik BedardCanada282828182.013502213.163.191.0910.925.7%11.7%7.8%22.4%714.8
10Roy HalladayUnited States303131225.116701393.713.551.245.617.0%8.1%5.2%9.8%794.8
11Aaron HarangUnited States293434231.216602183.733.711.148.521.7%11.0%5.5%17.5%834.8
12Kelvim EscobarVenezuela313030195.218701603.403.391.277.424.8%11.3%8.1%11.6%764.7
13Scott KazmirUnited States233434206.213902393.483.451.3810.426.6%12.8%10.0%16.9%774.6
14Brad PennyUnited States293333208.016401353.033.631.315.817.7%8.4%8.4%7.2%814.5
15Roy OswaltUnited States303332212.014701543.183.591.336.518.5%9.1%6.6%10.3%804.4
16Javier VazquezPuerto Rico313232216.215802133.743.801.148.823.8%11.5%5.7%18.5%854.3
17Dan HarenUnited States273434222.215901923.073.701.217.822.6%10.3%5.9%14.7%834.2
18Roberto HernandezDominican Republic273232215.019801373.063.941.215.719.2%9.2%6.9%8.6%884.0
19Andy PettitteUnited States353634215.115901414.053.871.435.919.1%8.6%7.5%7.9%874.0
20Johan SantanaVenezuela283333219.0151302353.333.821.079.727.7%14.6%5.9%20.8%853.9
21Chien-Ming WangTaiwan273030199.119701043.703.791.294.716.0%7.4%7.2%5.5%853.9
22Greg MadduxUnited States413434198.0141101044.143.581.244.714.1%6.7%3.0%9.5%803.9
23Matt CainUnited States233232200.071601633.653.781.267.319.0%9.0%9.5%10.1%843.9
24James ShieldsUnited States263131215.012801843.853.861.117.722.8%11.1%4.1%16.9%863.8
25Chris YoungUnited States283030173.09801673.123.431.108.724.4%12.0%10.2%13.5%773.7
26Gil MecheUnited States293434216.091301563.674.021.306.518.5%8.6%6.8%10.4%903.7
27Félix HernándezVenezuela213030190.114701653.923.751.387.822.7%10.4%6.6%13.9%843.6
28Adam WainwrightUnited States263232202.0141201363.703.901.406.118.2%7.9%7.9%7.5%873.5
29Justin VerlanderUnited States243232201.218601833.663.991.238.220.4%9.6%7.7%13.4%893.5
30Cole HamelsUnited States242828183.115501773.393.831.128.726.7%14.2%5.8%18.0%863.5
31Derek LoweUnited States343332199.1121401473.883.971.276.621.6%9.5%7.1%10.6%893.5
32Jeff FrancisCanada263434215.117901654.224.191.386.920.8%9.4%6.8%11.1%943.4
33Ian SnellUnited States263232208.091201773.764.011.337.723.7%11.5%7.7%12.4%903.4
34Ted LillyUnited States313434207.015801743.834.161.147.617.6%8.4%6.5%14.0%933.4
35Dustin McGowanUnited States252727169.2121001444.083.731.227.625.1%11.5%8.7%11.8%833.3
36Daisuke MatsuzakaJapan273232204.2151202014.404.231.328.824.3%11.3%9.2%13.8%943.2
37Mark BuehrleUnited States283030201.010901153.634.261.265.116.9%8.0%5.4%8.4%952.9
38Rich HillUnited States273232195.011801833.924.321.198.421.4%10.3%7.8%14.8%962.9
39Jon GarlandUnited States283232208.110130984.234.361.324.213.1%6.1%6.5%4.6%982.8
40Tom GorzelannyUnited States253232201.2141001353.884.241.406.018.3%8.5%7.8%7.7%952.8
41John MaineUnited States263232191.0151001803.914.181.278.523.5%11.0%9.3%13.0%932.7
42Carlos SilvaVenezuela283333202.013140894.194.241.314.012.6%6.0%4.2%6.3%952.7
43Jeremy BondermanUnited States252828174.111901455.014.191.387.524.0%11.5%6.4%12.9%942.7
44Wandy RodriguezDominican Republic283131182.291301584.584.181.327.819.3%8.4%7.9%12.3%932.6
45Jeff SuppanUnited States323434206.2121201144.624.421.505.016.6%7.9%7.4%5.0%992.6
46Carlos ZambranoVenezuela263434216.1181301773.954.581.337.421.8%9.8%10.9%8.2%1022.5
47Bronson ArroyoUnited States303434210.291501564.234.571.406.719.2%8.5%6.8%10.1%1022.4
48Matt MorrisUnited States333232198.2101101024.894.451.524.613.4%5.9%6.9%4.6%992.4
49Oliver PérezMexico262929177.0151001743.564.351.318.822.1%10.0%10.3%12.4%972.2
50Kyle LohseUnited States293432192.291201224.624.531.375.718.6%8.5%6.9%7.8%1012.2
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 →