DataBaseball
2026

2008 season · rankings

2008 MLB Pitching Leaders

88 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
88 of 88 qualifiedDownload Parquet
#
1Tim LincecumUnited States243433227.018502652.622.621.1710.527.5%12.8%9.1%19.5%617.1
2CC SabathiaUnited States283535253.0171002512.702.911.118.928.6%14.3%5.8%18.8%677.0
3Cliff LeeUnited States303131223.122301702.542.831.116.917.7%8.8%3.8%15.3%656.4
4Roy HalladayUnited States313433246.0201102062.783.031.057.519.6%9.8%4.0%16.9%706.4
5Dan HarenUnited States283333216.016802063.333.011.138.622.1%10.5%4.5%18.8%705.9
6Brandon WebbUnited States293434226.222701833.303.281.207.324.3%11.1%6.9%12.5%765.5
7Ervin SantanaDominican Republic263232219.016702143.493.301.128.823.9%11.3%5.2%18.6%765.1
8Johan SantanaVenezuela293434234.116702062.533.511.157.923.7%11.8%6.5%14.8%814.8
9Derek LoweUnited States353434211.0141101473.243.261.136.321.5%9.2%5.3%12.0%754.8
10A.J. BurnettUnited States313534221.1181002314.073.451.349.424.7%10.8%9.0%15.2%804.7
11Mike MussinaUnited States403434200.120901503.373.321.226.712.7%5.3%3.8%14.5%774.7
12Ryan DempsterCanada313333206.217601872.963.411.218.126.0%12.0%8.9%13.0%794.7
13John DanksUnited States233333195.012901593.323.441.237.323.9%11.7%7.1%12.7%804.4
14Ben SheetsUnited States303131198.113901583.093.381.157.219.2%9.2%5.8%13.7%784.4
15Josh BeckettUnited States282727174.1121001724.033.241.198.920.2%9.3%4.7%19.0%754.3
16Cole HamelsUnited States253333227.1141001963.093.721.087.823.8%11.9%5.8%15.6%864.3
17Chad BillingsleyUnited States243532200.2161002013.143.351.349.025.7%11.2%9.3%14.1%784.2
18Jon LesterUnited States243333210.116601523.213.641.276.518.5%8.7%7.6%9.8%844.2
19Gil MecheUnited States303434210.1141101833.983.611.327.821.7%10.0%8.2%12.4%834.1
20Zack GreinkeUnited States253232202.1131001833.473.561.288.121.3%9.8%6.6%14.9%824.0
21Aaron CookUnited States293232211.11690963.963.761.344.112.1%5.9%5.4%5.4%874.0
22Javier VazquezPuerto Rico323333208.1121602004.673.741.328.623.4%11.6%6.9%15.6%864.0
23Edinson VolquezDominican Republic253332196.017602063.213.601.339.526.7%11.5%11.1%13.5%834.0
24Andy PettitteUnited States363333204.0141401584.543.711.417.020.6%9.3%6.2%11.7%863.9
25Jair JurrjensCuraçao223131188.1131001393.683.591.376.620.6%9.3%8.6%8.5%833.8
26Roy OswaltUnited States313232208.2171001653.543.801.187.118.6%9.3%5.5%13.7%883.7
27Mark BuehrleUnited States293434218.2151201403.793.941.345.815.4%7.3%5.7%9.6%913.7
28James ShieldsUnited States273333215.014801603.563.821.156.721.2%10.1%4.6%13.7%883.7
29Ricky NolascoUnited States263432212.115801863.523.771.107.921.9%10.6%4.8%16.6%873.7
30Matt CainUnited States243434217.281401863.763.911.367.721.3%10.2%9.8%10.2%903.6
31Ubaldo JiménezDominican Republic243434198.2121201723.993.831.437.821.5%9.4%11.9%7.9%893.6
32Randy JohnsonUnited States453030184.0111001733.913.761.248.522.6%11.2%5.7%16.6%873.5
33Hiroki KurodaJapan333131183.191001163.733.591.225.720.2%9.9%5.4%9.5%833.5
34Félix HernándezVenezuela223131200.291101753.453.801.397.820.6%9.5%9.3%11.1%883.4
35Kyle LohseUnited States303333200.015601193.783.891.305.414.8%6.3%5.8%8.3%903.2
36Jake PeavyUnited States272727173.2101101662.853.601.188.624.5%11.0%8.3%15.1%833.2
37Andy SonnanstineUnited States253232193.113901244.383.911.295.816.0%7.6%4.5%10.6%913.1
38Mike PelfreyUnited States243232200.2131101103.723.961.364.915.3%7.0%7.5%5.4%923.1
39Jered WeaverUnited States263030176.2111001524.333.901.287.722.2%10.5%7.2%13.2%902.9
40Scott BakerUnited States272828172.111401413.453.791.187.420.7%11.0%6.0%14.1%882.9
41Justin VerlanderUnited States253333201.0111701634.844.181.407.320.0%9.2%9.9%8.6%972.8
42Kevin MillwoodUnited States342929168.291001255.074.021.596.715.5%7.5%6.4%9.9%932.7
43Paul MaholmUnited States263131206.19901393.714.151.286.119.0%8.8%7.4%8.9%962.7
44Daisuke MatsuzakaJapan282929167.218301542.904.031.328.324.4%10.7%13.1%8.4%932.6
45Greg MadduxUnited States423333194.08130984.224.091.214.513.3%6.5%3.7%8.5%942.5
46Carlos ZambranoVenezuela273030188.214601303.914.231.296.218.6%8.3%9.0%7.3%982.5
47Matt GarzaUnited States253030184.211901283.704.141.246.217.4%8.4%7.6%8.9%962.5
48Jamie MoyerUnited States463333196.116701233.714.321.335.616.9%7.2%7.4%7.3%1002.3
49Dana EvelandUnited States252929168.09901184.344.091.486.316.7%6.9%10.4%5.6%952.3
50Ted LillyUnited States323434204.217901844.094.411.238.121.7%10.3%7.4%13.9%1022.3
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 →