2019 season · rankings

2019 MLB Pitching Leaders

61 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.

TableBatting Pitching

RoleLeaguePool

Who

Born in

61 of 61 qualifiedDownload Parquet

#
1	Gerrit Cole	United States	29	33	33	212.1	20	5	326	2.50	2.64	0.89	13.8	37.2%	18.6%	5.9%	34.0%	59	7.1
2	Jacob deGrom	United States	31	32	32	204.0	11	8	255	2.43	2.67	0.97	11.3	31.4%	16.8%	5.5%	26.2%	59	6.4
3	Max Scherzer	United States	35	27	27	172.1	11	7	243	2.92	2.45	1.03	12.7	33.9%	17.8%	4.8%	30.3%	54	6.1
4	Lance Lynn	United States	32	33	33	208.1	16	11	246	3.67	3.13	1.22	10.6	28.5%	14.0%	6.7%	21.4%	69	6.1
5	Justin Verlander	United States	36	34	34	223.0	21	6	300	2.58	3.27	0.80	12.1	33.6%	17.5%	5.0%	30.5%	73	5.9
6	Charlie Morton	United States	36	33	33	194.2	16	6	240	3.05	2.81	1.08	11.1	29.6%	14.0%	7.2%	23.2%	62	5.8
7	Stephen Strasburg	United States	31	33	33	209.0	18	6	251	3.32	3.25	1.04	10.8	30.6%	14.6%	6.7%	23.2%	72	5.6
8	Zack Greinke	United States	36	33	33	208.2	18	5	187	2.93	3.22	0.98	8.1	24.1%	11.3%	3.7%	19.4%	71	5.5
9	Shane Bieber	United States	24	34	33	214.1	15	8	259	3.28	3.32	1.05	10.9	30.7%	14.6%	4.7%	25.5%	74	5.3
10	Walker Buehler	United States	25	30	30	182.1	14	4	215	3.26	3.01	1.04	10.6	26.8%	13.5%	5.0%	24.2%	67	5.1
11	Hyun Jin Ryu	South Korea	32	29	29	182.2	14	5	163	2.32	3.10	1.01	8.0	24.8%	12.3%	3.3%	19.2%	69	4.9
12	Patrick Corbin	United States	30	33	33	202.0	14	7	238	3.25	3.49	1.18	10.6	31.6%	15.0%	8.4%	20.1%	77	4.9
13	Jack Flaherty	United States	24	33	33	196.1	11	8	231	2.75	3.46	0.97	10.6	30.7%	14.8%	7.1%	22.8%	77	4.5
14	Zack Wheeler	United States	29	31	31	195.1	11	8	195	3.96	3.48	1.26	9.0	23.0%	11.7%	6.0%	17.5%	77	4.4
15	Sonny Gray	United States	30	31	31	175.1	11	8	205	2.87	3.42	1.08	10.5	28.4%	12.0%	9.6%	19.4%	76	4.3
16	Noah Syndergaard	United States	27	32	32	197.2	10	8	202	4.28	3.60	1.23	9.2	26.8%	13.6%	6.1%	18.4%	80	4.2
17	Lucas Giolito	United States	25	29	29	176.2	14	9	228	3.41	3.43	1.06	11.6	32.4%	16.1%	8.1%	24.3%	76	4.2
18	Michael Soroka	Canada	22	29	29	174.2	13	4	142	2.68	3.45	1.11	7.3	22.8%	11.1%	5.8%	14.4%	77	4.1
19	Luis Castillo	Dominican Republic	27	32	32	190.2	15	8	226	3.40	3.70	1.14	10.7	35.8%	17.0%	10.1%	18.8%	82	4.1
20	Eduardo Rodriguez	Venezuela	26	34	34	203.1	19	6	213	3.81	3.86	1.33	9.4	27.4%	12.7%	8.7%	16.1%	86	4.0
21	Marcus Stroman	United States	28	32	32	184.1	10	13	159	3.22	3.72	1.31	7.8	24.7%	11.2%	7.5%	13.0%	83	3.9
22	José Berríos	Puerto Rico	25	32	32	200.1	14	8	195	3.68	3.85	1.22	8.8	23.5%	11.6%	6.1%	17.1%	86	3.8
23	Kyle Hendricks	United States	30	30	30	177.0	11	10	150	3.46	3.61	1.13	7.6	22.0%	10.9%	4.4%	16.2%	80	3.8
24	Madison Bumgarner	United States	30	34	34	207.2	9	9	203	3.90	3.90	1.13	8.8	24.6%	12.5%	5.1%	19.0%	87	3.6
25	Aaron Nola	United States	26	34	34	202.1	12	7	229	3.87	4.03	1.27	10.2	26.7%	11.9%	9.4%	17.5%	90	3.6
26	Mike Minor	United States	32	32	32	208.1	14	10	200	3.59	4.25	1.24	8.6	26.2%	12.5%	7.9%	15.3%	94	3.5
27	Germán Márquez	Venezuela	24	28	28	174.0	12	5	175	4.76	4.06	1.20	9.1	26.6%	13.2%	4.9%	19.4%	90	3.5
28	Max Fried	United States	25	33	30	165.2	17	6	173	4.02	3.72	1.33	9.4	26.0%	12.3%	6.7%	17.9%	82	3.4
29	Joe Musgrove	United States	27	32	31	170.1	11	12	157	4.44	3.82	1.22	8.3	24.6%	12.8%	5.4%	16.4%	85	3.3
30	Jose Quintana	Colombia	30	32	31	171.0	13	9	152	4.68	3.80	1.39	8.0	20.9%	9.3%	6.2%	14.2%	84	3.3
31	Clayton Kershaw	United States	31	29	28	178.1	16	5	189	3.03	3.86	1.04	9.5	27.7%	14.2%	5.8%	21.0%	86	3.3
32	Marco Gonzales	United States	27	34	34	203.0	16	13	147	3.99	4.15	1.31	6.5	18.0%	8.6%	6.5%	10.5%	92	3.2
33	Trevor Bauer	United States	28	34	34	213.0	11	13	253	4.48	4.34	1.25	10.7	29.4%	13.3%	9.0%	18.8%	96	3.0
34	Homer Bailey	United States	33	31	31	163.1	13	9	149	4.57	4.11	1.32	8.2	24.2%	11.8%	7.6%	13.8%	91	2.8
35	Matthew Boyd	United States	28	32	32	185.1	9	12	238	4.56	4.32	1.23	11.6	31.1%	15.5%	6.3%	23.9%	96	2.8
36	Yu Darvish	Japan	33	31	31	178.2	6	8	229	3.98	4.18	1.10	11.5	30.4%	14.7%	7.7%	23.7%	93	2.7
37	Miles Mikolas	United States	31	32	32	184.0	9	14	144	4.16	4.27	1.22	7.0	21.7%	10.7%	4.2%	14.7%	95	2.6
38	Robbie Ray	United States	28	33	33	174.1	12	8	235	4.34	4.29	1.34	12.1	32.7%	14.8%	11.2%	20.2%	95	2.5
39	Jon Lester	United States	35	31	31	171.2	13	10	165	4.46	4.26	1.50	8.7	21.1%	9.6%	6.8%	14.8%	94	2.5
40	Joey Lucchesi	United States	26	30	30	163.2	10	10	158	4.18	4.17	1.22	8.7	25.4%	11.5%	8.2%	14.9%	93	2.4
41	Sandy Alcantara	Dominican Republic	24	32	32	197.1	6	14	151	3.88	4.55	1.32	6.9	23.8%	11.8%	9.7%	8.4%	101	2.4
42	Masahiro Tanaka	Japan	31	32	31	182.0	11	9	149	4.45	4.27	1.24	7.4	23.2%	11.7%	5.3%	14.4%	95	2.4
43	Brad Keller	United States	24	28	28	165.1	7	14	122	4.19	4.35	1.35	6.6	19.9%	9.1%	9.9%	7.3%	97	2.4
44	Adam Wainwright	United States	38	31	31	171.2	14	10	153	4.19	4.36	1.43	8.0	19.5%	8.2%	8.6%	11.9%	97	2.3
45	Aníbal Sánchez	Venezuela	35	30	30	166.0	11	8	134	3.85	4.44	1.27	7.3	22.4%	10.9%	8.1%	10.7%	99	2.3
46	Anthony DeSclafani	United States	29	31	31	166.2	9	9	167	3.89	4.43	1.20	9.0	23.6%	11.4%	7.0%	17.0%	98	2.2
47	Merrill Kelly	United States	31	32	32	183.1	13	14	158	4.42	4.51	1.31	7.8	22.4%	10.6%	7.3%	13.0%	100	2.2
48	Wade Miley	United States	33	33	33	167.1	14	6	140	3.98	4.51	1.34	7.5	22.9%	10.2%	8.5%	11.0%	100	2.1
49	Brett Anderson	United States	31	31	31	176.0	13	9	90	3.89	4.57	1.31	4.6	17.0%	8.1%	6.6%	5.5%	101	1.9
50	Julio Teheran	Colombia	28	33	33	174.2	10	11	162	3.81	4.66	1.32	8.3	22.2%	10.0%	11.0%	10.5%	103	1.8

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 →