2023 season · rankings

2023 MLB Pitching Leaders

44 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. Filter by position, cohort, league or country of birth, several countries at a time.

TableBatting Pitching

RoleLeaguePool

Who

Born in

44 of 44 qualifiedDownload Parquet

#
1	Spencer Strider	United States	25	32	32	186.2	20	5	281	3.86	2.85	1.09	13.5	38.6%	20.5%	7.6%	29.2%	66	5.5
2	Sonny Gray	United States	34	32	32	184.0	8	8	183	2.79	2.83	1.15	9.0	26.1%	12.5%	7.3%	17.0%	65	5.4
3	Gerrit Cole	United States	33	33	33	209.0	15	4	222	2.63	3.16	0.98	9.6	26.1%	13.1%	5.8%	21.2%	73	5.3
4	Logan Webb	United States	27	33	33	216.0	11	13	194	3.25	3.16	1.07	8.1	20.8%	9.9%	3.6%	19.2%	73	5.3
5	Zac Gallen	United States	28	34	34	210.0	17	9	220	3.47	3.26	1.12	9.4	26.4%	12.5%	5.6%	20.4%	75	5.0
6	Kevin Gausman	United States	32	31	31	185.0	12	9	237	3.16	2.97	1.18	11.5	28.9%	14.3%	7.2%	23.9%	69	5.0
7	Zack Wheeler	United States	33	32	32	192.0	13	6	212	3.61	3.15	1.08	9.9	28.7%	14.7%	5.0%	22.0%	73	4.9
8	Zach Eflin	United States	29	31	31	177.2	16	8	186	3.50	3.01	1.02	9.4	24.1%	12.0%	3.4%	23.0%	69	4.8
9	Justin Steele	United States	28	30	30	173.1	16	5	176	3.06	3.02	1.17	9.1	24.0%	12.7%	5.0%	19.6%	70	4.8
10	Pablo López	Venezuela	27	32	32	194.0	11	8	234	3.66	3.33	1.15	10.9	30.3%	15.6%	6.0%	23.2%	77	4.6
11	George Kirby	United States	25	31	31	190.2	13	10	172	3.35	3.34	1.04	8.1	22.9%	12.5%	2.5%	20.2%	77	4.3
12	Framber Valdez	Dominican Republic	30	31	31	198.0	12	11	200	3.45	3.50	1.13	9.1	26.8%	12.6%	7.1%	17.7%	81	4.2
13	Jordan Montgomery	United States	31	32	32	188.2	10	11	166	3.20	3.56	1.19	7.9	26.0%	12.4%	6.2%	15.2%	82	4.1
14	Kyle Bradish	United States	27	30	30	168.2	12	7	168	2.83	3.27	1.04	9.0	26.0%	11.9%	6.6%	18.5%	75	4.0
15	Blake Snell	United States	31	32	32	180.0	14	9	234	2.25	3.44	1.19	11.7	37.3%	16.0%	13.3%	18.2%	79	3.9
16	Jesús Luzardo	Peru	26	32	32	178.2	10	10	208	3.58	3.55	1.21	10.5	31.4%	15.2%	7.4%	20.6%	82	3.8
17	Mitch Keller	United States	27	32	32	194.1	13	9	210	4.21	3.80	1.25	9.7	23.2%	11.1%	6.7%	18.8%	88	3.6
18	Corbin Burnes	United States	29	32	32	193.2	10	8	200	3.39	3.81	1.07	9.3	28.8%	13.3%	8.4%	17.1%	88	3.6
19	Luis Castillo	Dominican Republic	31	33	33	197.0	14	9	219	3.34	3.81	1.10	10.0	30.6%	15.9%	7.0%	20.3%	88	3.4
20	Dylan Cease	United States	28	33	33	177.0	7	9	214	4.58	3.72	1.42	10.9	31.0%	14.4%	10.1%	17.2%	86	3.4
21	Kodai Senga	Japan	30	29	29	166.1	12	7	202	2.98	3.63	1.22	10.9	29.7%	13.4%	11.1%	18.0%	84	3.3
22	Logan Gilbert	United States	26	32	32	190.2	13	7	189	3.73	3.85	1.08	8.9	26.4%	13.8%	4.7%	19.9%	89	3.2
23	Merrill Kelly	United States	35	30	30	177.2	12	8	187	3.29	3.85	1.19	9.5	26.9%	13.2%	9.6%	16.3%	89	3.1
24	Aaron Nola	United States	30	32	32	193.2	12	9	202	4.46	4.03	1.15	9.4	26.0%	12.8%	5.7%	19.8%	93	3.0
25	Freddy Peralta	Dominican Republic	27	30	30	165.2	12	10	210	3.86	3.85	1.12	11.4	33.6%	16.0%	7.9%	22.9%	89	3.0
26	Sandy Alcantara	Dominican Republic	28	28	28	184.2	7	12	151	4.14	4.03	1.21	7.4	25.4%	13.7%	6.3%	13.5%	93	3.0
27	José Berríos	Puerto Rico	29	32	32	189.2	11	12	184	3.65	3.99	1.19	8.7	25.5%	11.8%	6.6%	16.9%	92	2.9
28	Charlie Morton	United States	40	30	30	163.1	14	12	183	3.64	3.87	1.43	10.1	32.2%	13.8%	11.6%	14.0%	89	2.9
29	Justin Verlander	United States	40	27	27	162.1	13	8	144	3.22	3.85	1.13	8.0	22.5%	11.1%	6.7%	14.8%	89	2.8
30	Miles Mikolas	United States	35	35	35	201.1	9	13	137	4.78	4.27	1.32	6.1	16.7%	8.3%	4.5%	11.4%	99	2.7
31	Kyle Gibson	United States	36	33	33	192.0	15	9	157	4.73	4.13	1.32	7.4	25.4%	11.6%	6.8%	12.6%	95	2.6
32	Chris Bassitt	United States	34	33	33	200.0	16	8	186	3.60	4.28	1.18	8.4	21.9%	10.4%	7.1%	15.4%	99	2.4
33	Yusei Kikuchi	Japan	32	32	32	167.2	11	6	181	3.86	4.12	1.27	9.7	28.0%	13.6%	6.9%	19.0%	95	2.3
34	Dane Dunning	United States	29	35	26	172.2	12	7	140	3.70	4.27	1.26	7.3	22.3%	10.5%	7.6%	11.8%	99	2.2
35	Bryce Elder	United States	24	31	31	174.2	12	4	128	3.81	4.42	1.28	6.6	23.6%	10.9%	8.6%	8.9%	102	2.0
36	Johan Oviedo	Cuba	25	32	32	177.2	9	14	158	4.31	4.49	1.37	8.0	26.0%	12.1%	10.6%	9.6%	104	1.9
37	Taijuan Walker	United States	31	31	31	172.2	15	6	138	4.38	4.53	1.31	7.2	20.5%	9.1%	9.7%	9.1%	105	1.7
38	Dean Kremer	United States	27	32	32	172.2	13	5	157	4.12	4.51	1.31	8.2	24.0%	11.5%	7.5%	13.9%	104	1.6
39	Cristian Javier	Dominican Republic	26	31	31	162.0	10	5	159	4.56	4.58	1.27	8.8	27.1%	13.0%	9.0%	14.1%	106	1.5
40	JP Sears	United States	27	32	32	172.1	5	14	161	4.54	5.15	1.26	8.4	24.8%	12.7%	7.2%	14.7%	119	0.4
41	Patrick Corbin	United States	34	32	32	180.0	10	15	124	5.20	5.28	1.48	6.2	21.3%	9.7%	7.2%	8.5%	122	0.3
42	Lucas Giolito	United States	29	33	33	184.1	8	15	204	4.88	5.27	1.31	10.0	28.8%	13.5%	9.2%	16.5%	122	0.3
43	Jordan Lyles	United States	33	31	31	177.2	6	17	120	6.28	5.62	1.24	6.1	20.1%	9.7%	6.0%	10.0%	130	-0.2
44	Lance Lynn	United States	36	32	32	183.2	13	11	191	5.73	5.53	1.39	9.4	28.7%	14.4%	8.3%	15.3%	128	-0.3

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 →