2020 season · rankings

2020 MLB Pitching Leaders

40 players qualified at 59.9 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

40 of 40 qualifiedDownload Parquet

#
1	Shane Bieber	United States	25	12	12	77.1	8	1	122	1.63	2.07	0.87	14.2	40.7%	19.0%	7.1%	34.0%	46	3.1
2	Yu Darvish	Japan	34	12	12	76.0	8	3	93	2.01	2.23	0.96	11.0	32.0%	15.9%	4.7%	26.6%	50	2.8
3	Jacob deGrom	United States	32	12	12	68.0	4	2	104	2.38	2.26	0.96	13.8	41.0%	22.2%	6.7%	32.1%	51	2.5
4	Dinelson Lamet	Dominican Republic	28	12	12	69.0	3	1	93	2.09	2.48	0.86	12.1	32.5%	15.4%	7.5%	27.3%	56	2.4
5	Luis Castillo	Dominican Republic	28	12	12	70.0	4	6	89	3.21	2.65	1.23	11.4	32.8%	16.7%	8.2%	22.3%	59	2.4
6	Trevor Bauer	United States	29	11	11	73.0	5	4	100	1.73	2.88	0.79	12.3	30.4%	14.1%	6.1%	29.9%	65	2.3
7	Germán Márquez	Venezuela	25	13	13	81.2	4	6	73	3.75	3.28	1.26	8.0	26.3%	12.9%	7.3%	14.0%	74	2.2
8	Framber Valdez	Dominican Republic	27	11	10	70.2	5	3	76	3.57	2.85	1.12	9.7	24.5%	11.0%	5.6%	20.8%	64	2.1
9	Zack Greinke	United States	37	12	12	67.0	3	3	67	4.03	2.80	1.13	9.0	27.7%	11.3%	3.3%	21.2%	63	2.1
10	Dylan Bundy	United States	28	11	11	65.2	6	3	72	3.29	2.95	1.04	9.9	29.3%	13.2%	6.4%	20.6%	66	2.0
11	Brandon Woodruff	United States	27	13	13	73.2	3	5	91	3.05	3.20	0.99	11.1	28.9%	14.0%	6.1%	24.9%	72	2.0
12	Lucas Giolito	United States	26	12	12	72.1	4	3	97	3.48	3.19	1.04	12.1	36.6%	18.5%	9.7%	24.0%	72	2.0
13	Hyun Jin Ryu	South Korea	33	12	12	67.0	5	2	72	2.69	3.01	1.15	9.7	26.2%	12.9%	6.2%	20.0%	68	2.0
14	Kenta Maeda	Japan	32	11	11	66.2	6	1	80	2.70	3.00	0.75	10.8	34.9%	18.4%	4.0%	28.2%	67	1.9
15	Aaron Nola	United States	27	12	12	71.1	5	5	96	3.28	3.19	1.08	12.1	31.2%	14.7%	8.0%	25.3%	72	1.9
16	Zack Wheeler	United States	30	11	11	71.0	4	2	53	2.92	3.22	1.17	6.7	22.6%	12.0%	5.6%	12.8%	72	1.9
17	Dallas Keuchel	United States	32	11	11	63.1	6	2	42	1.99	3.08	1.09	6.0	23.8%	10.7%	6.6%	9.7%	69	1.8
18	Kyle Hendricks	United States	31	12	12	81.1	6	5	64	2.88	3.55	1.00	7.1	24.9%	12.4%	2.5%	17.8%	80	1.8
19	Marco Gonzales	United States	28	11	11	69.2	7	2	64	3.10	3.32	0.95	8.3	19.8%	9.5%	2.5%	20.6%	75	1.8
20	Zac Gallen	United States	25	12	12	72.0	3	2	82	2.75	3.66	1.11	10.3	30.2%	13.1%	8.6%	19.6%	82	1.6
21	Max Scherzer	United States	36	12	12	67.1	5	4	92	3.74	3.46	1.38	12.3	32.5%	16.4%	7.8%	23.4%	78	1.6
22	Carlos Carrasco	Venezuela	33	12	12	68.0	3	4	82	2.91	3.59	1.21	10.9	32.8%	16.0%	9.6%	19.6%	81	1.6
23	Gerrit Cole	United States	30	12	12	73.0	7	3	94	2.84	3.89	0.96	11.6	34.2%	17.0%	5.9%	26.7%	87	1.4
24	Andrew Heaney	United States	29	12	12	66.2	4	3	70	4.46	3.79	1.23	9.4	27.9%	14.1%	6.8%	18.3%	85	1.4
25	Chris Bassitt	United States	31	11	11	63.0	5	2	55	2.29	3.59	1.16	7.9	23.0%	10.7%	6.5%	14.6%	81	1.4
26	Aaron Civale	United States	25	12	12	74.0	4	6	69	4.74	4.03	1.32	8.4	24.9%	11.3%	5.1%	17.0%	90	1.3
27	Lance Lynn	United States	33	13	13	84.0	6	3	89	3.32	4.19	1.06	9.5	25.4%	12.6%	7.3%	18.6%	94	1.3
28	Zach Davies	United States	27	12	12	69.1	7	4	63	2.73	3.88	1.07	8.2	25.5%	10.6%	6.9%	15.9%	87	1.3
29	Brady Singer	United States	24	12	12	64.1	4	5	61	4.06	4.08	1.17	8.5	24.2%	10.2%	8.7%	14.4%	92	1.1
30	Adam Wainwright	United States	39	10	10	65.2	5	3	54	3.15	4.11	1.05	7.4	24.1%	11.1%	5.7%	14.9%	92	1.1
31	José Berríos	Puerto Rico	26	12	12	63.0	5	4	68	4.00	4.06	1.32	9.7	27.5%	12.6%	9.6%	15.5%	91	1.1
32	Patrick Corbin	United States	31	11	11	65.2	2	7	60	4.66	4.17	1.57	8.2	23.6%	11.9%	6.1%	14.2%	94	1.0
33	Antonio Senzatela	Venezuela	25	12	12	73.1	5	3	41	3.44	4.57	1.21	5.0	18.6%	8.6%	5.9%	7.6%	103	0.9
34	Kyle Freeland	United States	27	13	13	70.2	2	3	46	4.33	4.65	1.42	5.9	20.5%	9.4%	7.6%	7.6%	104	0.8
35	Johnny Cueto	Dominican Republic	34	12	12	63.1	2	3	56	5.40	4.64	1.37	8.0	19.9%	9.0%	9.4%	10.8%	104	0.7
36	Martín Pérez	Venezuela	29	12	12	62.0	3	5	46	4.50	4.88	1.34	6.7	22.1%	9.6%	10.7%	6.9%	110	0.5
37	Jon Lester	United States	36	12	12	61.0	3	3	42	5.16	5.14	1.33	6.2	18.1%	8.0%	6.4%	9.4%	115	0.3
38	Kyle Gibson	United States	33	12	12	67.1	2	6	58	5.35	5.39	1.53	7.8	23.3%	9.7%	10.0%	9.3%	121	0.1
39	Alec Mills	United States	29	11	11	62.1	5	5	46	4.48	5.44	1.16	6.6	17.9%	7.9%	7.5%	10.7%	122	0.1
40	Matthew Boyd	United States	29	12	12	60.1	3	7	60	6.71	5.78	1.48	9.0	28.1%	13.6%	8.1%	14.0%	130	-0.2

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 →