2025 season · rankings

2025 MLB Pitching Leaders

52 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.

Season2026 2025 2024TableBatting Pitching

RoleLeaguePool

Who

52 of 52 qualifiedDownload Parquet

#
1	Tarik Skubal	29	31	31	195.1	13	6	241	2.21	2.45	0.89	11.1	32.5%	17.8%	4.4%	27.8%	59	5.7
2	Logan Webb	29	34	34	207.0	15	11	224	3.22	2.60	1.24	9.7	24.7%	11.4%	5.4%	20.8%	63	5.7
3	Cristopher Sánchez	29	32	32	202.0	13	5	212	2.50	2.55	1.06	9.4	30.4%	15.1%	5.5%	20.8%	61	5.7
4	Paul Skenes	23	32	32	187.2	10	10	216	1.97	2.36	0.95	10.4	30.1%	14.9%	5.7%	23.7%	57	5.7
5	Garrett Crochet	26	32	32	205.1	18	5	255	2.59	2.89	1.03	11.2	29.3%	15.2%	5.7%	25.7%	69	5.0
6	Jesús Luzardo	28	32	32	183.2	15	7	216	3.92	2.90	1.22	10.6	30.8%	14.7%	7.5%	21.0%	70	4.5
7	Max Fried	31	32	32	195.1	19	5	189	2.86	3.07	1.10	8.7	26.6%	12.5%	6.4%	17.2%	74	4.4
8	Yoshinobu Yamamoto	27	30	30	173.2	12	8	201	2.49	2.94	0.99	10.4	28.9%	13.5%	8.6%	20.8%	71	4.1
9	Hunter Brown	27	31	31	185.1	12	9	206	2.43	3.14	1.03	10.0	27.8%	12.5%	7.8%	20.4%	76	4.0
10	Framber Valdez	32	31	31	192.0	13	11	187	3.66	3.37	1.24	8.8	26.6%	12.6%	8.5%	14.8%	81	3.6
11	Kevin Gausman	34	32	32	193.0	10	11	189	3.59	3.41	1.06	8.8	26.4%	13.6%	6.5%	17.9%	82	3.6
12	Sonny Gray	36	32	32	180.2	14	8	201	4.28	3.39	1.23	10.0	27.5%	13.1%	5.0%	21.6%	82	3.4
13	Bryan Woo	25	30	30	186.2	15	7	198	2.94	3.47	0.93	9.5	26.2%	14.0%	4.9%	22.2%	83	3.3
14	Nick Pivetta	32	31	31	181.2	13	5	190	2.87	3.49	0.99	9.4	24.5%	11.7%	6.9%	19.4%	84	3.2
15	David Peterson	30	30	30	168.2	9	6	150	4.22	3.48	1.37	8.0	24.0%	11.2%	9.0%	11.8%	84	3.0
16	Matthew Boyd	34	31	31	179.2	14	8	154	3.21	3.65	1.09	7.7	23.1%	11.9%	5.8%	15.6%	88	2.9
17	Dylan Cease	30	32	32	168.0	8	12	215	4.55	3.56	1.33	11.5	33.5%	16.5%	9.8%	19.9%	86	2.8
18	Freddy Peralta	29	33	33	176.2	17	6	204	2.70	3.64	1.08	10.4	30.1%	14.1%	9.1%	19.1%	88	2.8
19	Carlos Rodón	33	33	33	195.1	18	9	203	3.09	3.78	1.05	9.4	30.3%	13.8%	9.3%	16.5%	91	2.8
20	Jacob deGrom	37	30	30	172.2	12	8	185	2.97	3.64	0.92	9.6	30.2%	15.6%	5.5%	22.1%	88	2.7
21	Michael Wacha	34	31	31	172.2	10	13	126	3.86	3.66	1.22	6.6	21.3%	10.7%	6.3%	11.3%	88	2.7
22	Merrill Kelly	37	32	32	184.0	12	9	167	3.52	3.76	1.11	8.2	24.1%	11.9%	6.4%	15.9%	90	2.7
23	Andrew Abbott	26	29	29	166.1	10	7	149	2.87	3.66	1.15	8.1	24.0%	12.0%	6.3%	15.5%	88	2.6
24	José Soriano	27	31	31	169.0	10	11	152	4.26	3.73	1.40	8.1	27.0%	12.1%	10.8%	10.2%	90	2.5
25	Joe Ryan	29	31	30	171.0	13	10	194	3.42	3.74	1.04	10.2	26.1%	13.0%	5.7%	22.5%	90	2.5
26	Luis Castillo	33	32	32	180.2	11	8	162	3.54	3.88	1.18	8.1	24.6%	12.7%	6.2%	15.6%	93	2.4
27	Robbie Ray	34	32	32	182.1	11	8	186	3.65	3.93	1.21	9.2	27.8%	13.7%	9.7%	15.0%	95	2.3
28	Brady Singer	29	32	32	169.2	14	12	163	4.03	3.98	1.24	8.6	24.0%	10.6%	8.4%	14.4%	96	2.1
29	Mitch Keller	29	32	32	176.1	6	15	150	4.19	4.02	1.26	7.7	20.6%	10.0%	6.8%	13.2%	97	2.1
30	Dean Kremer	29	31	29	171.2	11	10	142	4.19	3.97	1.21	7.4	22.9%	11.3%	6.4%	13.7%	95	2.0
31	Chris Bassitt	36	32	31	170.1	11	9	166	3.96	4.01	1.33	8.8	23.3%	10.9%	7.1%	15.5%	96	2.0
32	Will Warren	26	33	33	162.1	9	8	171	4.44	4.07	1.37	9.5	24.6%	10.5%	9.1%	14.9%	98	1.8
33	Luis Severino	31	29	29	162.2	8	11	124	4.54	4.11	1.30	6.9	18.3%	8.6%	7.1%	10.5%	99	1.7
34	Clay Holmes	32	33	31	165.2	12	8	129	3.53	4.11	1.30	7.0	22.1%	9.9%	9.3%	8.9%	99	1.7
35	Brandon Pfaadt	27	33	33	176.2	13	9	147	5.25	4.22	1.33	7.5	22.1%	10.9%	4.8%	14.3%	101	1.7
36	Yusei Kikuchi	34	33	33	178.1	7	11	174	3.99	4.23	1.42	8.8	23.6%	11.4%	9.6%	13.0%	102	1.7
37	Kyle Freeland	32	31	31	162.2	5	17	124	4.98	4.18	1.42	6.9	21.0%	10.8%	5.4%	12.1%	101	1.6
38	Brayan Bello	26	29	28	166.2	11	9	124	3.35	4.19	1.24	6.7	20.1%	9.2%	8.4%	9.3%	101	1.6
39	Sandy Alcantara	30	31	31	174.2	11	12	142	5.36	4.28	1.27	7.3	20.9%	10.3%	7.7%	11.4%	103	1.5
40	Tanner Bibee	26	31	31	182.1	12	11	162	4.24	4.34	1.23	8.0	23.8%	11.0%	7.1%	14.2%	104	1.5
41	Ryan Pepiot	28	31	31	167.2	11	12	167	3.86	4.36	1.16	9.0	26.0%	13.0%	9.0%	15.6%	105	1.3
42	Shane Baz	26	31	31	166.1	10	12	176	4.87	4.37	1.33	9.5	25.8%	12.7%	9.0%	15.8%	105	1.3
43	Gavin Williams	26	31	31	167.2	12	5	173	3.06	4.39	1.27	9.3	27.7%	12.6%	11.8%	12.8%	106	1.3
44	Zac Gallen	30	33	33	192.0	13	15	175	4.83	4.50	1.26	8.2	23.7%	10.6%	8.1%	13.4%	108	1.2
45	Nick Martinez	35	40	26	165.2	11	14	116	4.45	4.33	1.21	6.3	19.9%	9.4%	6.1%	10.8%	104	1.1
46	Kyle Hendricks	36	31	31	164.2	8	10	114	4.76	4.60	1.28	6.2	18.3%	8.8%	6.2%	10.2%	111	0.9
47	José Berríos	31	31	30	166.0	9	5	138	4.17	4.65	1.30	7.5	22.0%	10.1%	8.0%	11.7%	112	0.7
48	Jeffrey Springs	33	32	30	171.0	11	11	138	4.11	4.65	1.21	7.3	26.0%	12.0%	7.6%	11.8%	112	0.7
49	Andre Pallante	27	31	31	162.2	6	15	111	5.31	4.68	1.44	6.1	22.3%	10.2%	8.7%	6.9%	113	0.7
50	Zack Littell	30	32	32	186.2	10	8	130	3.81	4.88	1.10	6.3	20.4%	10.6%	4.2%	12.9%	117	0.4

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 →