DataBaseball
2026

2005 season · rankings

2005 MLB Pitching Leaders

93 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
93 of 93 qualifiedDownload Parquet
#
1Chris CarpenterUnited States303333241.221502132.832.901.067.923.4%11.0%5.4%17.0%676.7
2Johan SantanaVenezuela263333231.216702382.872.800.979.225.8%13.9%4.9%21.2%656.7
3Dontrelle Willistwo-wayUnited States233434236.1221001702.632.991.136.517.1%8.3%5.7%12.0%706.1
4Roy OswaltUnited States283535241.2201201842.943.161.206.917.2%8.4%4.8%13.6%745.8
5Roger ClemensUnited States433232211.113801851.872.871.017.922.3%10.2%7.4%14.7%675.8
6Pedro MartínezDominican Republic343131217.015802082.822.950.958.624.3%11.6%5.6%19.1%695.8
7Andy PettitteUnited States333333222.117901712.393.071.036.922.5%10.9%4.7%14.9%725.6
8John SmoltzUnited States383333229.214701693.063.271.156.622.2%11.1%5.7%12.5%765.5
9Jake PeavyUnited States243030203.013702162.882.891.049.626.9%12.9%6.2%20.4%675.3
10Mark BuehrleUnited States263333236.216801493.123.421.185.714.7%7.2%4.1%11.2%805.2
11John LackeyUnited States273333209.014501993.443.101.338.623.4%10.8%8.0%14.3%725.1
12A.J. BurnettUnited States283232209.0121201983.443.111.268.524.1%10.7%9.0%13.6%725.1
13Brandon WebbUnited States263333229.0141201723.543.511.266.820.1%9.3%6.3%12.0%824.8
14Esteban LoaizaMexico343434217.0121001733.773.331.307.216.1%7.8%6.0%12.9%784.7
15Aaron HarangUnited States273232211.2111301633.833.671.276.921.4%11.0%5.7%12.6%854.1
16Carlos ZambranoVenezuela243333223.114602023.263.701.158.121.9%9.8%9.5%12.8%864.1
17Randy JohnsonUnited States423434225.217802113.793.781.138.423.5%11.6%5.1%17.8%884.0
18Josh BeckettUnited States252929178.215801663.383.271.188.422.7%10.5%8.0%14.8%764.0
19John PattersonUnited States273131198.19701853.133.461.198.422.0%10.4%8.0%14.7%814.0
20Tom GlavineUnited States393333211.1131301053.533.671.364.514.7%6.3%6.8%4.9%863.9
21Bartolo ColonDominican Republic323333222.221801573.483.751.166.315.4%7.8%4.7%12.6%873.8
22Dan HarenUnited States253434217.0141201633.733.891.226.820.9%9.8%5.9%12.3%913.6
23Cory LidleUnited States333131184.2131101214.533.721.355.916.9%7.8%5.1%10.2%873.5
24CC SabathiaUnited States253131196.2151001614.033.691.267.422.0%10.4%7.5%12.0%863.4
25Doug DavisUnited States303535222.2111102083.843.981.308.421.5%9.6%9.8%12.2%933.4
26Freddy GarciaVenezuela293333228.014801463.874.051.255.821.3%9.7%6.4%9.1%943.3
27Cliff LeeUnited States273232202.018501433.793.791.226.415.5%7.5%6.2%10.9%883.3
28Brett MyersUnited States253434215.113802083.724.061.218.721.1%9.5%7.5%15.5%953.3
29Josh TowersUnited States283333208.2131201123.713.941.274.814.9%7.5%3.3%9.5%923.3
30Kevin MillwoodUnited States313030192.091101462.863.731.226.817.4%8.3%6.5%11.8%873.3
31Scott KazmirUnited States213232186.010901743.773.761.468.423.8%10.9%12.2%9.0%883.3
32Noah LowryUnited States253333204.2131301723.783.891.317.621.2%9.5%8.7%11.0%913.3
33Greg MadduxUnited States393535225.0131501364.244.061.225.417.8%8.4%3.8%10.7%953.2
34Brad PennyUnited States272929175.17901223.903.641.296.314.7%6.9%5.6%11.0%853.2
35Javier VazquezPuerto Rico293333215.2111501924.424.061.258.024.2%11.8%5.1%16.2%953.2
36David WellsUnited States423030184.015701074.453.831.315.213.1%6.5%2.7%11.0%893.1
37Paul ByrdUnited States353131204.1121101023.743.941.194.513.9%7.0%3.3%8.8%923.1
38Jake WestbrookUnited States283434210.2151501194.493.961.305.114.9%7.0%6.3%7.0%923.0
39Jeremy BondermanUnited States232929189.0141301454.573.901.356.922.1%11.0%7.1%11.0%913.0
40Matt MorrisUnited States313131192.2141001174.113.991.285.516.8%8.0%4.5%9.8%932.9
41Chris YoungUnited States263131164.212701374.263.801.267.519.5%9.6%6.4%13.1%892.9
42Kenny RogersUnited States413030195.11480873.464.061.324.014.7%6.3%6.4%4.1%952.9
43Jon LieberUnited States353535218.1171301494.204.251.216.119.9%10.2%4.5%11.8%992.9
44Matt ClementUnited States313232191.013601464.574.041.366.924.2%11.4%8.2%9.4%942.8
45Mark PriorUnited States252727166.211701883.673.851.2110.223.2%10.8%8.4%18.4%902.8
46Derek LoweUnited States323535222.0121501463.614.161.255.918.5%8.7%5.9%9.7%972.8
47Jon GarlandUnited States263232221.0181001153.504.241.174.714.5%7.3%5.2%7.5%992.8
48Jason SchmidtUnited States322929172.012701654.403.881.428.625.3%11.4%11.2%10.6%902.8
49Mike MussinaUnited States373030179.213801424.414.011.377.119.9%9.1%6.1%12.4%932.7
50Jose ContrerasCuba343232204.215701543.614.211.236.821.6%10.0%8.8%9.2%982.6
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 →