DataBaseball
2026

2006 season · rankings

2006 MLB Pitching Leaders

84 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
84 of 84 qualifiedDownload Parquet
#
1Johan SantanaVenezuela273434233.219602452.773.041.009.426.0%13.8%5.1%21.5%676.5
2Brandon WebbUnited States273333235.016801783.103.181.136.820.4%9.2%5.3%13.5%706.5
3Roy OswaltUnited States293332220.215801662.983.301.176.817.1%8.5%4.2%14.3%735.6
4John SmoltzUnited States393535232.016902113.493.441.198.225.2%12.7%5.7%16.3%765.4
5Jeremy BondermanUnited States243434214.014802024.083.291.308.525.2%12.1%7.1%15.3%735.4
6John LackeyUnited States283333217.2131101903.563.351.267.921.5%10.2%7.8%12.8%745.2
7Chris CarpenterUnited States313232221.215801843.093.441.077.520.4%9.6%4.8%15.7%765.2
8Aaron HarangUnited States283635234.1161102163.763.681.278.325.5%13.0%5.6%16.1%815.1
9Roy HalladayUnited States293232220.016501323.193.601.105.417.5%8.7%3.9%11.2%804.9
10CC SabathiaUnited States262828192.2121101723.223.301.178.022.7%11.8%5.5%16.0%734.8
11Derek LoweUnited States333534218.016801233.633.681.275.119.1%8.8%6.0%7.4%814.6
12Curt SchillingUnited States403131204.015701833.973.591.228.120.2%10.4%3.4%18.6%794.5
13Mike MussinaUnited States383232197.115701723.513.461.117.818.9%8.7%4.4%17.0%764.5
14Jake PeavyUnited States253232202.1111402154.093.511.239.626.0%12.8%7.3%18.1%774.4
15Erik BedardCanada273333196.1151101713.763.591.357.821.7%9.8%8.2%12.1%794.3
16Greg MadduxUnited States403434210.0151401174.203.801.225.016.7%8.0%4.3%9.3%844.2
17Kevin MillwoodUnited States323434215.0161201574.523.871.316.617.5%8.3%5.8%11.5%864.2
18Bronson ArroyoUnited States293535240.2141101843.294.151.196.919.1%8.5%6.5%12.1%924.1
19Kelvim EscobarVenezuela303030189.1111401473.613.621.287.025.1%12.0%6.3%12.3%804.0
20Javier VazquezPuerto Rico303332202.2111201844.843.861.298.223.2%11.1%6.4%14.7%853.9
21Jake WestbrookUnited States293232211.1151001094.173.881.434.616.5%7.3%6.1%6.0%863.9
22Jason SchmidtUnited States333232213.111901803.593.951.267.622.6%10.6%8.9%11.2%873.8
23Chien-Ming WangTaiwan263433218.01961763.633.911.313.114.9%7.1%5.8%2.7%863.8
24Chris CapuanoUnited States283434221.1111201744.034.041.257.121.6%10.3%5.0%13.6%893.8
25Jason JenningsUnited States283232212.091301423.784.091.376.019.5%8.9%9.4%6.3%903.7
26Dave BushUnited States273432210.0121101664.413.981.147.118.7%9.1%4.4%14.7%883.7
27Brad PennyUnited States283433189.016901484.333.891.387.016.1%7.3%6.6%11.6%863.6
28Carlos ZambranoVenezuela253333214.016702103.414.141.298.822.5%9.7%12.5%10.4%913.5
29Dan HarenUnited States263434223.0141301764.124.121.217.120.0%9.5%4.8%14.1%913.5
30Aaron CookUnited States273232212.29150924.234.201.403.913.5%6.4%6.0%4.0%933.5
31Zach DukeUnited States233434215.1101501174.474.131.504.914.1%6.2%7.3%5.2%913.5
32Andy PettitteUnited States343635214.1141301784.204.131.447.520.0%9.3%7.5%11.6%913.5
33Félix HernándezVenezuela203131191.0121401764.523.911.348.321.2%9.6%7.4%14.2%863.4
34Matt CainUnited States223231190.2131201794.153.961.288.420.4%9.3%10.6%11.2%873.4
35Jose ContrerasCuba353030196.013901344.274.101.276.218.4%8.7%6.6%9.5%913.3
36Brett MyersUnited States263131198.012701893.914.141.308.622.1%10.0%7.6%15.1%913.2
37Vicente PadillaNicaragua293333200.0151001564.504.261.387.019.0%9.0%8.0%9.9%943.1
38Dontrelle WillisUnited States243434223.1121201603.874.311.426.419.1%8.7%8.5%7.9%953.0
39Jon GarlandUnited States273332211.118701124.514.351.364.813.0%6.5%4.6%7.9%962.9
40Joe BlantonUnited States263231194.1161201074.824.161.545.016.5%7.2%6.8%5.7%922.9
41Jeff FrancisCanada253232199.0131101174.164.381.295.318.1%8.0%8.2%5.7%972.9
42Randy JohnsonUnited States433333205.0171101725.004.271.247.621.5%10.3%7.0%13.0%942.8
43Ervin SantanaDominican Republic243333204.016801414.284.291.236.219.1%8.6%8.3%8.4%952.8
44Doug DavisUnited States313434203.1111101594.914.381.517.018.1%7.7%11.3%6.3%972.7
45Tom GlavineUnited States403232198.015701313.824.301.336.017.8%7.4%7.4%8.2%952.7
46Miguel BatistaDominican Republic353433206.111801104.584.521.534.815.9%7.2%9.2%2.9%1002.6
47Clay HensleyUnited States273729187.0111201223.714.151.345.923.4%10.3%9.7%5.8%922.5
48Justin VerlanderUnited States233030186.017901243.634.351.336.018.5%8.6%7.7%8.2%962.5
49Freddy GarciaVenezuela303333216.117901354.534.581.285.618.8%8.8%5.2%9.5%1012.5
50Matt MorrisUnited States323333207.2101501174.984.511.355.114.1%6.4%7.0%6.0%1002.5
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 →