2026 season · rankings

2026 MLB Pitching Leaders

46 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.

GamesRegular season Postseason

TableBatting Pitching

RoleLeaguePool

Who

Born in

46 of 46 qualifiedDownload Parquet

#
1	Jacob Misiorowski	United States	24	30	30	174.2	16	5	0	252	1.80	2.17	0.80	13.0	37.2%	19.1%	6.6%	31.3%	52	6.2
2	Cam Schlittler	United States	25	33	33	193.2	14	6	0	239	1.95	2.56	0.92	11.1	29.4%	15.3%	6.4%	25.0%	61	6.2
3	Cristopher Sánchez	Dominican Republic	30	33	33	207.0	18	7	0	231	2.91	2.80	1.20	10.0	31.3%	15.8%	5.3%	21.7%	67	6.1
4	Chris Sale	United States	37	27	27	162.2	14	9	0	200	2.16	2.29	0.98	11.1	30.4%	15.4%	4.8%	26.1%	55	5.6
5	Jesús Luzardo	Peru	29	30	29	179.2	14	5	0	221	2.96	2.78	1.08	11.1	31.9%	14.8%	7.1%	23.2%	66	5.3
6	Dylan Cease	United States	31	29	29	169.0	11	6	0	239	2.40	2.56	1.10	12.7	33.3%	15.3%	11.4%	23.5%	61	5.3
7	Drew Rasmussen	United States	31	30	30	172.0	16	5	0	174	2.67	2.82	0.91	9.1	25.1%	12.6%	4.8%	21.2%	67	4.8
8	Parker Messick	United States	26	32	32	186.1	12	9	0	193	2.56	3.07	1.06	9.3	25.5%	12.4%	6.6%	19.3%	73	4.7
9	Reid Detmers	United States	27	32	32	185.0	7	8	0	211	3.36	3.02	1.04	10.3	29.0%	14.3%	6.5%	22.0%	72	4.6
10	Cade Cavalli	United States	28	32	32	169.2	13	5	0	200	3.02	3.26	1.16	10.6	27.4%	13.0%	6.8%	21.5%	78	4.1
11	Yoshinobu Yamamoto	Japan	28	28	28	185.0	14	9	0	182	2.53	3.34	0.87	8.9	27.9%	13.8%	5.9%	19.8%	80	4.1
12	Paul Skenes	United States	24	32	32	174.1	10	11	0	200	3.82	3.33	1.12	10.3	28.2%	14.4%	6.9%	21.2%	80	4.0
13	Jacob deGrom	United States	38	31	31	162.2	11	11	0	201	4.20	3.12	1.14	11.1	33.2%	17.2%	6.9%	23.2%	75	3.9
14	Bryan Woo	United States	26	30	30	173.0	12	10	0	175	4.01	3.25	1.10	9.1	25.2%	13.4%	5.5%	19.2%	78	3.8
15	Gavin Williams	United States	27	32	32	184.1	14	8	0	248	3.76	3.48	1.11	12.1	32.8%	16.1%	8.2%	25.1%	83	3.8
16	Zack Wheeler	United States	36	28	28	162.0	14	5	0	193	3.00	3.35	1.05	10.7	30.9%	15.5%	7.3%	22.6%	80	3.7
17	Sonny Gray	United States	37	29	29	169.0	18	5	0	149	2.72	3.48	1.15	7.9	23.1%	11.0%	6.7%	15.1%	83	3.5
18	Braxton Ashcraft	United States	27	28	28	165.1	14	6	0	173	3.70	3.50	1.09	9.4	25.6%	13.3%	5.2%	20.7%	84	3.5
19	Trevor Rogers	United States	29	30	30	169.2	10	11	0	157	4.03	3.45	1.18	8.3	24.4%	13.0%	5.6%	16.9%	83	3.4
20	Nolan McLean	United States	25	31	31	179.2	12	10	0	194	3.16	3.59	1.17	9.7	23.6%	10.5%	9.4%	16.6%	86	3.4
21	Shane Baz	United States	27	31	31	179.2	6	15	0	154	4.11	3.63	1.35	7.7	21.5%	10.4%	8.2%	11.8%	87	3.2
22	Kevin Gausman	United States	35	32	32	177.2	9	12	0	184	4.51	3.74	1.27	9.3	27.7%	13.9%	6.3%	18.3%	90	3.1
23	Sean Burke	United States	27	32	27	172.1	11	7	0	185	3.34	3.63	1.20	9.7	25.5%	12.5%	8.7%	17.2%	87	3.0
24	Eduardo Rodriguez	Venezuela	33	32	32	189.2	16	7	0	143	2.89	3.89	1.24	6.8	21.9%	10.7%	7.9%	10.3%	93	2.9
25	Noah Cameron	United States	27	31	30	177.1	9	8	0	158	4.11	3.93	1.23	8.0	25.8%	12.4%	7.8%	13.4%	94	2.9
26	Logan Gilbert	United States	29	32	32	186.0	12	11	0	205	3.73	3.83	1.09	9.9	30.7%	15.5%	6.5%	20.8%	92	2.9
27	Taj Bradley	United States	25	31	31	178.1	12	6	0	205	3.73	3.83	1.22	10.3	27.4%	12.9%	10.2%	17.2%	92	2.9
28	Foster Griffin	United States	31	31	31	172.2	15	6	0	158	3.60	3.96	1.21	8.2	23.2%	11.2%	6.2%	15.7%	95	2.8
29	Nick Martinez	United States	36	31	31	180.0	15	6	0	109	3.10	3.96	1.09	5.5	17.4%	8.9%	3.6%	11.5%	95	2.7
30	Andre Pallante	United States	28	29	29	162.0	12	9	0	110	3.83	3.75	1.27	6.1	21.0%	9.5%	7.4%	8.8%	90	2.7
31	Sandy Alcantara	Dominican Republic	31	36	33	214.0	13	11	3	153	3.87	4.08	1.23	6.4	21.0%	10.6%	6.6%	10.5%	98	2.6
32	MacKenzie Gore	United States	27	34	34	173.0	8	11	0	174	4.58	3.87	1.33	9.1	24.9%	12.2%	9.5%	13.7%	93	2.6
33	George Kirby	United States	28	30	30	174.2	9	11	0	148	4.33	3.90	1.40	7.6	22.4%	11.6%	6.3%	13.6%	93	2.5
34	José Soriano	Dominican Republic	28	32	32	177.1	12	8	0	169	3.91	3.90	1.29	8.6	28.6%	13.4%	9.8%	12.9%	93	2.5
35	Michael Wacha	United States	35	32	32	200.2	9	10	0	158	3.32	4.38	1.11	7.1	21.6%	10.6%	6.7%	12.8%	105	2.2
36	Michael King	United States	31	32	32	185.0	12	10	0	159	3.21	4.14	1.18	7.7	24.5%	11.4%	9.2%	11.8%	99	2.2
37	Framber Valdez	Dominican Republic	33	31	31	174.0	10	12	0	135	4.03	4.14	1.36	7.0	20.6%	9.6%	8.8%	9.0%	99	2.1
38	Seth Lugo	United States	37	32	32	172.1	7	9	0	134	5.17	4.38	1.47	7.0	18.7%	8.5%	7.2%	10.7%	105	1.9
39	Freddy Peralta	Dominican Republic	30	32	32	169.0	10	11	0	156	4.42	4.29	1.33	8.3	26.1%	12.5%	8.6%	12.7%	103	1.8
40	Michael McGreevy	United States	26	31	31	168.2	7	9	0	115	3.95	4.23	1.28	6.1	20.1%	9.0%	6.8%	9.5%	101	1.8
41	Tanner Bibee	United States	27	33	33	188.0	7	15	0	148	4.36	4.52	1.22	7.1	23.6%	11.1%	7.1%	11.9%	108	1.6
42	Shota Imanaga	Japan	33	32	32	174.1	11	10	0	174	3.77	4.47	1.10	9.0	30.0%	15.5%	5.2%	19.4%	107	1.6
43	Aaron Nola	United States	33	33	33	175.1	7	12	0	177	4.67	4.87	1.35	9.1	27.1%	12.5%	7.9%	15.9%	117	0.9
44	Robbie Ray	United States	35	31	30	165.2	13	8	0	140	3.59	4.70	1.35	7.6	24.6%	11.4%	12.0%	8.0%	112	0.9
45	Andrew Abbott	United States	27	32	32	166.0	6	11	0	131	4.66	4.93	1.45	7.1	22.4%	10.3%	10.4%	7.5%	118	0.5
46	Merrill Kelly	United States	38	29	29	162.0	10	14	0	113	4.94	5.33	1.46	6.3	21.6%	10.6%	9.9%	6.1%	127	-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 →