2017 season · rankings

2017 MLB Pitching Leaders

58 players qualified at 162 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.

SeasonTableBatting Pitching

RoleLeaguePool

Who

58 of 58 qualifiedDownload Parquet

#
1	Chris Sale	28	32	32	214.1	17	8	308	2.90	2.45	0.97	12.9	31.8%	15.9%	5.1%	31.1%	56	6.5
2	Corey Kluber	31	29	29	203.2	18	4	265	2.25	2.50	0.87	11.7	33.6%	16.5%	4.6%	29.5%	57	6.0
3	Max Scherzer	33	31	31	200.2	16	6	268	2.51	2.90	0.90	12.0	32.2%	16.8%	7.1%	27.3%	67	5.1
4	Stephen Strasburg	29	28	28	175.1	15	4	204	2.52	2.72	1.02	10.5	27.8%	13.8%	6.7%	22.4%	62	4.8
5	Carlos Carrasco	30	32	32	200.0	18	6	226	3.29	3.10	1.09	10.2	29.8%	14.6%	5.8%	22.6%	71	4.6
6	Luis Severino	23	31	31	193.1	14	6	230	2.98	3.07	1.04	10.7	28.1%	13.8%	6.5%	22.9%	71	4.5
7	Zack Greinke	34	32	32	202.1	17	7	215	3.20	3.31	1.07	9.6	29.0%	13.4%	5.6%	21.2%	76	4.3
8	Jimmy Nelson	28	29	29	175.1	12	6	199	3.49	3.05	1.25	10.2	25.5%	12.4%	6.6%	20.7%	70	4.2
9	Clayton Kershaw	29	27	27	175.0	18	4	202	2.31	3.07	0.95	10.4	29.9%	15.4%	4.4%	25.3%	70	4.1
10	Chris Archer	29	34	34	201.0	10	12	249	4.07	3.40	1.26	11.1	30.3%	14.5%	7.0%	22.2%	78	4.0
11	Jacob deGrom	29	31	31	201.1	15	10	239	3.53	3.50	1.19	10.7	29.3%	14.6%	7.1%	21.8%	80	3.8
12	Jeff Samardzija	32	32	32	207.2	9	15	205	4.42	3.61	1.14	8.9	22.5%	11.0%	3.8%	20.4%	83	3.7
13	Aaron Nola	24	27	27	168.0	12	11	184	3.54	3.27	1.21	9.9	26.6%	12.0%	7.1%	19.5%	75	3.6
14	Jose Quintana	28	32	32	188.2	11	11	207	4.15	3.68	1.22	9.9	21.4%	9.4%	7.7%	18.5%	84	3.2
15	Justin Verlander	34	33	33	206.0	15	8	219	3.36	3.84	1.17	9.6	23.6%	11.6%	8.5%	17.3%	88	3.1
16	Carlos Martinez	26	32	32	205.0	12	11	217	3.64	3.91	1.22	9.5	24.6%	11.5%	8.3%	17.0%	90	3.0
17	Marcus Stroman	26	33	33	201.0	13	9	164	3.09	3.90	1.31	7.3	23.6%	10.5%	7.4%	12.2%	89	2.9
18	Michael Wacha	26	30	30	165.2	12	9	158	4.13	3.63	1.36	8.6	23.0%	11.0%	7.8%	14.7%	83	2.9
19	Gio Gonzalez	32	32	32	201.0	15	9	188	2.96	3.93	1.18	8.4	22.3%	9.4%	9.6%	13.2%	90	2.9
20	Yu Darvish	31	31	31	186.2	10	12	209	3.86	3.83	1.16	10.1	28.0%	13.2%	7.6%	19.7%	88	2.9
21	Michael Fulmer	24	25	25	164.2	10	12	114	3.83	3.67	1.15	6.2	21.5%	10.6%	5.9%	10.9%	84	2.8
22	Mike Leake	30	31	31	186.0	10	13	130	3.92	3.90	1.28	6.3	18.5%	9.0%	4.7%	11.9%	89	2.7
23	Robbie Ray	26	28	28	162.0	15	5	218	2.89	3.72	1.15	12.1	34.4%	15.4%	10.7%	22.1%	85	2.7
24	Drew Pomeranz	29	32	32	173.2	17	6	174	3.32	3.84	1.35	9.0	24.2%	10.8%	9.3%	14.2%	88	2.7
25	Trevor Bauer	26	32	31	176.1	17	9	196	4.19	3.88	1.37	10.0	23.9%	10.1%	8.0%	18.2%	89	2.6
26	Gerrit Cole	27	33	33	203.0	12	12	196	4.26	4.08	1.25	8.7	21.9%	10.2%	6.5%	16.6%	94	2.6
27	Patrick Corbin	28	33	32	189.2	14	13	178	4.03	4.08	1.42	8.4	25.5%	12.0%	7.4%	14.2%	94	2.4
28	Sonny Gray	28	27	27	162.1	10	12	153	3.55	3.90	1.21	8.5	27.3%	12.7%	8.4%	14.2%	90	2.4
29	Jon Lester	33	32	32	180.2	13	8	180	4.33	4.10	1.32	9.0	25.2%	11.5%	7.9%	15.7%	94	2.3
30	Clayton Richard	34	32	32	197.1	8	15	151	4.79	4.23	1.52	6.9	20.6%	10.0%	6.9%	10.7%	97	2.2
31	Tanner Roark	31	32	30	181.1	13	11	166	4.67	4.13	1.33	8.2	23.4%	10.8%	8.2%	13.1%	95	2.1
32	Zach Davies	24	33	33	191.1	17	9	124	3.90	4.22	1.35	5.8	18.2%	7.9%	6.7%	8.4%	97	2.1
33	Alex Cobb	30	29	29	179.1	12	10	128	3.66	4.16	1.22	6.4	16.9%	7.5%	5.9%	11.3%	95	2.1
34	Jake Arrieta	31	30	30	168.1	14	10	163	3.53	4.16	1.22	8.7	21.3%	9.4%	7.8%	15.3%	95	2.0
35	Jhoulys Chacín	29	32	32	180.1	13	10	153	3.89	4.26	1.27	7.6	20.5%	8.7%	9.4%	10.6%	98	1.9
36	Ervin Santana	35	33	33	211.1	16	8	167	3.28	4.46	1.13	7.1	23.4%	11.3%	7.1%	12.3%	102	1.8
37	Masahiro Tanaka	29	30	30	178.1	13	12	194	4.74	4.34	1.24	9.8	31.1%	15.9%	5.5%	20.3%	100	1.8
38	Jason Hammel	35	32	32	180.1	8	13	145	5.29	4.37	1.43	7.2	21.5%	10.3%	6.0%	12.1%	100	1.7
39	Iván Nova	30	31	31	187.0	11	14	131	4.14	4.46	1.28	6.3	17.9%	9.0%	4.6%	12.1%	102	1.6
40	Dylan Bundy	25	28	28	169.2	13	9	152	4.24	4.38	1.20	8.1	25.4%	12.5%	7.3%	14.5%	101	1.6
41	Kevin Gausman	26	34	34	186.2	11	12	179	4.68	4.48	1.49	8.6	25.9%	12.0%	8.7%	13.2%	103	1.6
42	Luis Perdomo	24	29	29	163.2	8	11	118	4.67	4.40	1.51	6.5	21.8%	9.9%	9.1%	7.4%	101	1.5
43	Germán Márquez	22	29	29	162.0	11	7	147	4.39	4.40	1.38	8.2	20.7%	10.1%	7.0%	14.0%	101	1.5
44	Rick Porcello	29	33	33	203.1	11	17	181	4.65	4.60	1.40	8.0	21.1%	10.5%	5.4%	15.0%	106	1.4
45	Dan Straily	29	33	33	181.2	10	9	170	4.26	4.58	1.30	8.4	26.6%	13.3%	7.8%	14.3%	105	1.3
46	Marco Estrada	34	33	33	186.0	10	9	176	4.98	4.61	1.38	8.5	24.2%	11.9%	8.8%	13.0%	106	1.3
47	Ty Blach	27	34	24	163.2	8	12	73	4.78	4.42	1.36	4.0	15.6%	7.1%	6.2%	4.3%	101	1.2
48	Martín Pérez	26	32	32	185.0	13	12	115	4.82	4.65	1.54	5.6	17.9%	8.0%	7.8%	6.4%	107	1.2
49	Andrew Cashner	31	28	28	166.2	11	11	86	3.40	4.61	1.32	4.6	14.9%	6.6%	9.1%	3.1%	106	1.2
50	Jason Vargas	34	32	32	179.2	18	11	134	4.16	4.67	1.33	6.7	23.6%	10.2%	7.7%	10.1%	107	1.1

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 →