2018 season · rankings

2018 MLB Pitching Leaders

56 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.

TableBatting Pitching

RoleLeaguePool

Who

Born in

56 of 56 qualifiedDownload Parquet

#
1	Jacob deGrom	United States	30	32	32	217.0	10	9	0	269	1.70	1.99	0.91	11.2	31.4%	16.4%	5.5%	26.7%	48	7.7
2	Max Scherzer	United States	34	33	33	220.2	18	7	0	300	2.53	2.65	0.91	12.2	33.1%	17.3%	5.9%	28.8%	64	6.7
3	Patrick Corbin	United States	29	33	33	200.0	11	7	0	246	3.15	2.47	1.05	11.1	34.7%	16.5%	6.0%	24.8%	60	6.4
4	Justin Verlander	United States	35	34	34	214.0	16	9	0	290	2.52	2.78	0.90	12.2	31.6%	16.2%	4.4%	30.4%	67	6.0
5	Gerrit Cole	United States	28	32	32	200.1	15	5	0	276	2.88	2.70	1.03	12.4	30.9%	15.3%	8.0%	26.5%	65	5.8
6	Trevor Bauer	United States	27	28	27	175.1	12	6	1	221	2.21	2.44	1.09	11.3	31.5%	14.2%	7.9%	22.9%	59	5.7
7	Aaron Nola	United States	25	33	33	212.1	17	6	0	224	2.37	3.01	0.97	9.5	27.7%	13.2%	7.0%	20.0%	73	5.4
8	Corey Kluber	United States	32	33	33	215.0	20	7	0	222	2.89	3.12	0.99	9.3	26.9%	13.0%	4.0%	22.3%	75	5.3
9	Luis Severino	Dominican Republic	24	32	32	191.1	19	8	0	220	3.39	2.95	1.14	10.3	26.8%	13.3%	5.9%	22.3%	71	5.1
10	Carlos Carrasco	Venezuela	31	32	30	192.0	17	10	0	231	3.38	2.94	1.13	10.8	33.1%	16.5%	5.5%	24.0%	71	5.1
11	Blake Snell	United States	26	31	31	180.2	21	5	0	221	1.89	2.94	0.97	11.0	34.6%	15.7%	9.1%	22.4%	71	4.6
12	Germán Márquez	Venezuela	23	33	33	196.0	14	11	0	230	3.77	3.40	1.20	10.6	28.4%	13.5%	7.0%	21.2%	82	4.4
13	Miles Mikolas	United States	30	32	32	200.2	18	4	0	146	2.83	3.28	1.07	6.5	20.2%	10.6%	3.6%	14.5%	79	4.3
14	Mike Clevinger	United States	28	32	32	200.0	13	8	0	207	3.02	3.52	1.16	9.3	27.8%	12.9%	8.3%	17.3%	85	4.0
15	Mike Foltynewicz	United States	27	31	31	183.0	13	10	0	202	2.85	3.37	1.08	9.9	25.7%	11.3%	9.1%	18.0%	81	4.0
16	Kyle Freeland	United States	25	33	33	202.1	17	7	0	173	2.85	3.67	1.25	7.7	21.8%	10.0%	8.3%	12.2%	88	3.9
17	Zack Wheeler	United States	28	29	29	182.1	12	7	0	179	3.31	3.25	1.12	8.8	24.7%	12.2%	7.4%	16.7%	78	3.8
18	Jameson Taillon	United States	27	32	32	191.0	14	10	0	179	3.20	3.46	1.18	8.4	23.8%	11.8%	5.9%	16.9%	83	3.7
19	Zack Greinke	United States	35	33	33	207.2	15	11	0	199	3.21	3.70	1.08	8.6	25.9%	11.7%	5.1%	18.6%	89	3.7
20	Dallas Keuchel	United States	30	34	34	204.2	12	11	0	153	3.74	3.69	1.31	6.7	19.8%	9.0%	6.6%	10.9%	89	3.5
21	Kyle Hendricks	United States	29	33	33	199.0	14	11	0	161	3.44	3.78	1.15	7.3	22.1%	9.9%	5.4%	14.4%	91	3.4
22	Marco Gonzales	United States	26	29	29	166.2	13	9	0	145	4.00	3.43	1.22	7.8	21.1%	10.2%	4.7%	16.5%	83	3.2
23	Charlie Morton	United States	35	30	30	167.0	15	3	0	201	3.13	3.59	1.16	10.8	28.5%	12.8%	9.2%	19.7%	87	3.1
24	Zack Godley	United States	28	33	32	178.1	15	11	0	185	4.74	3.82	1.45	9.3	28.1%	12.5%	10.2%	13.1%	92	2.9
25	José Berríos	Puerto Rico	24	32	32	192.1	12	11	0	202	3.84	3.90	1.14	9.5	25.9%	12.4%	7.7%	17.7%	94	2.9
26	Rick Porcello	United States	30	33	33	191.1	17	7	0	190	4.28	4.01	1.18	8.9	20.5%	9.6%	5.9%	17.6%	97	2.7
27	Nick Pivetta	Canada	25	33	32	164.0	7	14	0	188	4.77	3.79	1.30	10.3	27.5%	13.2%	7.3%	19.7%	91	2.7
28	Jhoulys Chacín	Venezuela	30	35	35	192.2	15	8	0	156	3.50	4.03	1.16	7.3	21.3%	9.2%	8.9%	10.7%	97	2.6
29	Jon Gray	United States	27	31	31	172.1	12	9	0	183	5.12	4.08	1.35	9.6	29.1%	13.4%	7.0%	17.6%	98	2.5
30	David Price	United States	33	30	30	176.0	16	7	0	177	3.58	4.02	1.14	9.1	22.9%	10.9%	6.9%	17.6%	97	2.5
31	Trevor Williams	United States	26	31	31	170.2	14	10	0	126	3.11	3.86	1.18	6.6	18.8%	8.9%	7.8%	10.1%	93	2.5
32	Derek Holland	United States	32	36	30	171.1	7	9	0	169	3.57	3.87	1.29	8.9	23.8%	11.2%	9.2%	14.0%	93	2.5
33	Andrew Heaney	United States	27	30	30	180.0	9	10	0	180	4.15	3.99	1.20	9.0	26.3%	12.8%	6.0%	18.0%	96	2.4
34	J.A. Happ	United States	36	31	31	177.2	17	6	0	193	3.65	3.98	1.13	9.8	24.1%	11.5%	7.0%	19.4%	96	2.4
35	Kyle Gibson	United States	31	32	32	196.2	10	13	0	179	3.62	4.13	1.30	8.2	26.8%	12.1%	9.6%	12.1%	99	2.4
36	Gio Gonzalez	United States	33	32	32	171.0	10	11	0	148	4.21	4.16	1.44	7.8	24.0%	10.4%	10.7%	9.1%	100	2.2
37	Sean Newcomb	United States	25	31	30	164.0	12	9	0	160	3.90	4.14	1.33	8.8	24.9%	11.1%	11.6%	11.4%	100	2.1
38	Mike Leake	United States	31	31	31	185.2	10	10	0	119	4.36	4.14	1.30	5.8	16.7%	8.3%	4.3%	10.8%	100	2.1
39	Tanner Roark	United States	32	31	30	180.1	9	15	0	146	4.34	4.27	1.28	7.3	20.3%	9.3%	6.6%	12.6%	103	2.0
40	Cole Hamels	United States	35	32	32	190.2	9	12	0	188	3.78	4.49	1.26	8.9	27.0%	12.9%	8.1%	15.3%	108	2.0
41	Jake Arrieta	United States	32	31	31	172.2	10	11	0	138	3.96	4.26	1.29	7.2	19.5%	9.0%	7.9%	11.2%	103	1.9
42	Jake Odorizzi	United States	28	32	32	164.1	7	10	0	162	4.49	4.19	1.34	8.9	24.7%	11.7%	9.8%	12.9%	101	1.9
43	Luis Castillo	Dominican Republic	26	31	31	169.2	10	12	0	165	4.30	4.32	1.22	8.8	28.7%	14.3%	6.9%	16.4%	104	1.9
44	Kevin Gausman	United States	27	31	31	183.2	10	11	0	148	3.92	4.32	1.30	7.3	24.7%	12.2%	6.4%	12.6%	104	1.8
45	Jon Lester	United States	34	32	32	181.2	18	6	0	149	3.32	4.39	1.31	7.4	20.3%	9.0%	8.4%	11.2%	106	1.8
46	José Ureña	Dominican Republic	27	31	31	174.0	9	12	0	130	3.98	4.17	1.18	6.7	20.2%	9.6%	7.2%	11.1%	101	1.7
47	Jose Quintana	Colombia	29	32	32	174.1	13	11	0	158	4.03	4.43	1.32	8.2	20.6%	8.8%	9.2%	12.2%	107	1.6
48	Tyler Anderson	United States	29	32	32	176.0	7	9	0	164	4.55	4.57	1.27	8.4	25.4%	12.5%	8.0%	14.2%	110	1.6
49	Matthew Boyd	United States	27	31	31	170.1	9	13	0	159	4.39	4.45	1.16	8.4	23.5%	10.9%	7.2%	15.2%	107	1.4
50	Jakob Junis	United States	26	30	30	177.0	9	12	0	164	4.37	4.64	1.27	8.3	22.4%	10.5%	5.7%	16.0%	112	1.2

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 →