2024 season · rankings

2024 MLB Pitching Leaders

58 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

58 of 58 qualifiedDownload Parquet

#
1	Chris Sale	United States	35	29	29	177.2	18	3	225	2.38	2.09	1.01	11.4	31.0%	15.2%	5.6%	26.5%	51	6.2
2	Tarik Skubal	United States	28	31	31	192.0	18	4	228	2.39	2.49	0.92	10.7	31.9%	16.5%	4.6%	25.6%	61	5.9
3	Logan Webb	United States	28	33	33	204.2	13	10	172	3.47	2.95	1.23	7.6	20.8%	9.6%	5.9%	14.5%	72	5.1
4	Cole Ragans	United States	27	32	32	186.1	11	9	223	3.14	2.99	1.14	10.8	32.0%	15.7%	8.8%	20.5%	73	4.8
5	Seth Lugo	United States	35	33	33	206.2	16	9	181	3.00	3.25	1.09	7.9	22.5%	10.5%	5.7%	15.9%	80	4.7
6	Zack Wheeler	United States	34	32	32	200.0	16	7	224	2.56	3.13	0.95	10.1	27.5%	14.1%	6.6%	21.9%	77	4.7
7	Cristopher Sánchez	Dominican Republic	28	31	31	181.2	11	9	153	3.32	3.00	1.24	7.6	24.3%	12.5%	5.8%	14.5%	73	4.5
8	Dylan Cease	United States	29	33	33	189.1	14	11	224	3.47	3.10	1.07	10.6	32.4%	15.6%	8.5%	20.9%	76	4.4
9	Logan Gilbert	United States	27	33	33	208.2	9	12	220	3.23	3.27	0.89	9.5	31.7%	15.9%	4.6%	22.8%	80	4.2
10	Framber Valdez	Dominican Republic	31	28	28	176.1	15	7	169	2.91	3.25	1.11	8.6	27.2%	12.2%	7.8%	16.2%	80	3.9
11	George Kirby	United States	26	33	33	191.0	14	11	179	3.53	3.26	1.07	8.4	24.1%	12.8%	3.0%	20.1%	80	3.9
12	Sonny Gray	United States	35	28	28	166.1	13	9	203	3.84	3.12	1.09	11.0	29.8%	14.5%	5.8%	24.4%	77	3.8
13	Tanner Houck	United States	28	30	30	178.2	9	10	154	3.12	3.32	1.14	7.8	22.6%	10.6%	6.5%	14.3%	81	3.8
14	Michael King	United States	29	31	30	173.2	13	9	201	2.95	3.33	1.19	10.4	29.3%	13.3%	8.7%	19.0%	82	3.6
15	Max Fried	United States	30	29	29	174.1	11	10	166	3.25	3.33	1.16	8.6	24.1%	11.1%	8.0%	15.3%	82	3.6
16	Corbin Burnes	United States	30	32	32	194.1	15	9	181	2.92	3.55	1.10	8.4	28.6%	14.0%	6.1%	17.0%	87	3.5
17	Yusei Kikuchi	Japan	33	32	32	175.2	9	10	206	4.05	3.46	1.20	10.6	29.1%	14.1%	6.0%	22.0%	85	3.5
18	Brandon Pfaadt	United States	26	32	32	181.2	11	10	185	4.71	3.61	1.24	9.2	25.4%	12.5%	5.5%	18.8%	88	3.3
19	Tanner Bibee	United States	25	31	31	173.2	12	8	187	3.47	3.56	1.12	9.7	26.9%	13.7%	6.2%	20.1%	87	3.3
20	Pablo López	Venezuela	28	32	32	185.1	15	10	198	4.08	3.65	1.19	9.6	27.0%	14.0%	5.3%	20.3%	89	3.3
21	Jack Flaherty	United States	29	28	28	162.0	13	7	194	3.17	3.48	1.07	10.8	32.1%	14.9%	5.9%	24.0%	85	3.1
22	Hunter Brown	United States	26	31	30	170.0	11	9	179	3.49	3.58	1.27	9.5	25.1%	11.6%	8.4%	16.7%	88	3.1
23	MacKenzie Gore	United States	25	32	32	166.1	10	12	181	3.90	3.53	1.42	9.8	28.6%	14.4%	8.9%	15.9%	87	3.1
24	Michael Wacha	United States	33	29	29	166.2	13	8	145	3.35	3.65	1.19	7.8	23.3%	11.3%	6.6%	14.6%	90	3.0
25	Bryce Miller	United States	26	31	31	180.1	12	8	171	2.94	3.58	0.98	8.5	24.4%	11.9%	6.4%	17.9%	88	3.0
26	Kevin Gausman	United States	33	31	31	181.0	14	11	162	3.83	3.77	1.22	8.1	23.4%	11.7%	7.4%	14.0%	93	2.9
27	Bailey Ober	United States	29	31	31	178.2	12	9	191	3.98	3.82	1.00	9.6	29.0%	15.2%	6.1%	20.9%	94	2.8
28	Aaron Nola	United States	31	33	33	199.1	14	8	197	3.57	3.94	1.20	8.9	25.2%	12.2%	6.1%	17.9%	97	2.7
29	Sean Manaea	United States	32	32	32	181.2	12	6	184	3.47	3.83	1.08	9.1	26.1%	12.8%	8.5%	16.4%	94	2.7
30	Brady Singer	United States	28	32	32	179.2	9	13	170	3.71	3.93	1.27	8.5	25.1%	11.2%	7.1%	15.2%	96	2.6
31	Zach Eflin	United States	30	28	28	165.1	10	9	134	3.59	3.77	1.15	7.3	21.6%	10.8%	3.5%	16.1%	92	2.6
32	Nestor Cortes	Cuba	30	31	30	174.1	9	10	162	3.77	3.84	1.15	8.4	24.2%	12.2%	5.5%	17.3%	94	2.6
33	Erick Fedde	United States	31	31	31	177.1	9	9	154	3.30	3.86	1.16	7.8	21.6%	9.8%	7.2%	14.0%	95	2.5
34	Shota Imanaga	Japan	31	29	29	173.1	15	3	174	2.91	3.72	1.02	9.0	28.4%	15.8%	4.0%	21.0%	91	2.5
35	Nathan Eovaldi	United States	34	29	29	170.2	12	8	166	3.80	3.83	1.11	8.8	26.8%	14.0%	6.0%	17.8%	94	2.4
36	Mitch Keller	United States	28	31	31	178.0	11	12	166	4.25	4.08	1.30	8.4	21.5%	10.2%	6.5%	15.0%	100	2.3
37	Luis Castillo	Dominican Republic	32	30	30	175.1	11	12	175	3.64	3.91	1.17	9.0	25.9%	13.1%	6.5%	17.8%	96	2.2
38	Chris Bassitt	United States	35	31	31	171.0	10	14	168	4.16	4.08	1.46	8.8	21.7%	9.8%	9.2%	12.9%	100	2.1
39	Ryan Feltner	United States	28	30	30	162.1	3	10	138	4.49	4.16	1.34	7.7	23.8%	11.5%	7.5%	12.4%	102	2.0
40	Jameson Taillon	United States	33	28	28	165.1	12	8	125	3.27	3.92	1.13	6.8	19.5%	9.4%	4.9%	13.6%	96	2.0
41	Ronel Blanco	Dominican Republic	31	30	29	167.1	13	6	166	2.80	4.15	1.09	8.9	29.0%	14.1%	10.1%	14.5%	102	1.9
42	Freddy Peralta	Dominican Republic	28	32	32	173.2	11	9	200	3.68	4.16	1.21	10.4	31.1%	14.6%	9.4%	18.2%	102	1.9
43	Luis Severino	Dominican Republic	30	31	31	182.0	11	7	161	3.91	4.21	1.24	8.0	22.0%	11.1%	7.9%	13.3%	103	1.9
44	Brayan Bello	Dominican Republic	25	30	30	162.1	14	8	153	4.49	4.19	1.36	8.5	25.9%	12.0%	9.1%	12.7%	103	1.8
45	Miles Mikolas	United States	36	32	32	171.2	10	11	122	5.35	4.24	1.28	6.4	16.4%	8.2%	3.5%	13.5%	104	1.7
46	Jake Irvin	United States	27	33	33	187.2	10	14	156	4.41	4.41	1.20	7.5	22.3%	10.8%	6.8%	13.5%	108	1.5
47	Carlos Rodón	United States	32	32	32	175.0	16	9	195	3.96	4.39	1.22	10.0	30.1%	14.9%	7.7%	18.8%	108	1.5
48	Patrick Corbin	United States	35	32	32	174.2	6	13	139	5.62	4.41	1.50	7.2	22.4%	10.8%	7.1%	11.1%	108	1.4
49	Kyle Gibson	United States	37	30	30	169.2	8	8	151	4.24	4.42	1.35	8.0	25.9%	11.1%	9.4%	11.5%	108	1.3
50	Charlie Morton	United States	41	30	30	165.1	8	10	167	4.19	4.46	1.32	9.1	26.1%	12.2%	9.3%	14.6%	109	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 →