2022 season · rankings

2022 MLB Pitching Leaders

45 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.

SeasonTableBatting Pitching

RoleLeaguePool

Who

45 of 45 qualifiedDownload Parquet

#
1	Aaron Nola	29	32	32	205.0	11	13	235	3.25	2.58	0.96	10.3	27.9%	13.8%	3.6%	25.5%	65	5.5
2	Carlos Rodón	30	31	31	178.0	14	8	237	2.88	2.25	1.03	12.0	31.2%	15.5%	7.3%	26.1%	57	5.4
3	Kevin Gausman	31	31	31	174.2	12	10	205	3.35	2.38	1.24	10.6	29.4%	16.4%	3.9%	24.4%	60	5.1
4	Sandy Alcantara	27	32	32	228.2	14	9	207	2.28	2.99	0.98	8.1	25.4%	13.6%	5.6%	17.7%	75	5.0
5	Justin Verlander	39	28	28	175.0	18	4	185	1.75	2.49	0.83	9.5	24.2%	13.0%	4.4%	23.4%	63	4.9
6	Shohei Ohtani	28	28	28	166.0	15	9	219	2.33	2.40	1.01	11.9	33.1%	16.2%	6.7%	26.5%	61	4.8
7	Max Fried	28	30	30	185.1	14	7	170	2.48	2.70	1.01	8.3	26.1%	13.0%	4.4%	18.8%	68	4.7
8	Shane Bieber	27	31	31	200.0	13	8	198	2.88	2.87	1.04	8.9	29.7%	14.8%	4.6%	20.5%	72	4.7
9	Framber Valdez	29	31	31	201.1	17	6	194	2.82	3.06	1.16	8.7	25.8%	12.1%	8.1%	15.4%	77	4.3
10	Logan Webb	26	32	32	192.1	15	9	163	2.90	3.03	1.16	7.6	24.1%	11.4%	6.2%	14.5%	76	4.1
11	Corbin Burnes	28	33	33	202.0	12	8	243	2.94	3.14	0.97	10.8	35.2%	16.3%	6.4%	24.1%	79	4.1
12	Zac Gallen	27	31	31	184.0	12	4	192	2.54	3.05	0.91	9.4	23.0%	10.9%	6.6%	20.3%	77	3.9
13	Dylan Cease	27	32	32	184.0	14	8	227	2.20	3.10	1.11	11.1	33.3%	15.8%	10.4%	19.9%	78	3.8
14	Martín Pérez	31	32	32	196.1	12	8	169	2.89	3.27	1.26	7.7	21.0%	9.3%	8.4%	12.2%	82	3.7
15	Jose Quintana	33	32	32	165.2	6	7	137	2.93	2.99	1.21	7.4	24.0%	11.5%	6.9%	13.3%	75	3.6
16	Shane McClanahan	25	29	28	166.1	12	8	194	2.54	3.00	0.93	10.5	34.3%	17.0%	5.9%	24.3%	76	3.6
17	Yu Darvish	36	30	30	194.2	16	8	197	3.10	3.31	0.95	9.1	25.1%	12.5%	4.8%	20.8%	83	3.5
18	Alek Manoah	24	31	31	196.2	16	7	180	2.24	3.35	0.99	8.2	24.9%	12.3%	6.5%	16.4%	84	3.5
19	Gerrit Cole	32	33	33	200.2	13	8	257	3.50	3.47	1.02	11.5	34.1%	16.4%	6.3%	26.1%	87	3.3
20	Tyler Anderson	33	30	28	178.2	15	5	138	2.57	3.31	1.00	7.0	24.3%	12.8%	4.8%	14.7%	83	3.2
21	Logan Gilbert	25	32	32	185.2	13	6	174	3.20	3.46	1.18	8.4	24.2%	12.2%	6.4%	16.3%	87	3.1
22	Merrill Kelly	34	33	33	200.1	13	8	177	3.37	3.65	1.14	8.0	23.6%	11.5%	7.6%	14.4%	92	2.8
23	Triston McKenzie	25	31	30	191.1	11	11	190	2.96	3.59	0.95	8.9	26.8%	14.1%	5.9%	19.7%	91	2.8
24	Joe Musgrove	30	30	30	181.0	10	7	184	2.93	3.59	1.08	9.1	25.5%	11.9%	5.7%	19.2%	90	2.7
25	Kyle Wright	27	30	30	180.1	21	5	174	3.19	3.58	1.16	8.7	26.5%	12.9%	7.2%	16.4%	90	2.7
26	Adam Wainwright	41	32	32	191.2	11	12	143	3.71	3.66	1.28	6.7	16.9%	7.3%	6.7%	11.1%	92	2.7
27	Jordan Montgomery	30	32	32	178.1	9	6	158	3.48	3.61	1.09	8.0	27.5%	13.9%	5.0%	16.9%	91	2.6
28	Chris Bassitt	33	30	30	181.2	15	9	167	3.42	3.66	1.14	8.3	23.6%	10.9%	6.6%	15.8%	92	2.6
29	Corey Kluber	36	31	31	164.0	10	10	139	4.34	3.57	1.21	7.6	23.9%	12.3%	3.0%	17.1%	90	2.5
30	Pablo López	26	32	32	180.0	10	10	174	3.75	3.71	1.17	8.7	28.2%	14.0%	7.2%	16.4%	94	2.4
31	Julio Urías	26	31	31	175.0	17	7	166	2.16	3.71	0.96	8.5	23.9%	12.4%	6.0%	18.1%	94	2.4
32	Miles Mikolas	34	33	32	202.1	12	13	153	3.29	3.87	1.03	6.8	18.6%	9.1%	4.8%	14.2%	98	2.3
33	Jameson Taillon	31	32	32	177.1	14	5	151	3.91	3.94	1.13	7.7	23.1%	11.3%	4.4%	16.3%	99	1.9
34	Cal Quantrill	27	32	32	186.1	15	5	128	3.38	4.12	1.21	6.2	18.5%	9.0%	6.1%	10.5%	104	1.6
35	Robbie Ray	31	32	32	189.0	12	12	212	3.71	4.17	1.19	10.1	30.0%	15.4%	8.0%	19.4%	105	1.6
36	Cole Irvin	28	30	30	181.0	9	13	128	3.98	4.21	1.16	6.4	20.5%	10.7%	4.9%	12.4%	106	1.4
37	Kyle Freeland	29	31	31	174.2	9	11	131	4.53	4.21	1.41	6.8	20.8%	9.9%	6.9%	10.2%	106	1.3
38	Charlie Morton	39	31	31	172.0	9	6	205	4.34	4.26	1.23	10.7	29.2%	13.3%	8.7%	19.5%	107	1.2
39	Kyle Gibson	35	31	31	167.2	10	8	144	5.05	4.28	1.34	7.7	25.2%	12.2%	6.7%	13.4%	108	1.2
40	Jordan Lyles	32	32	32	179.0	12	11	144	4.42	4.40	1.39	7.2	21.9%	10.1%	6.7%	11.9%	111	1.0
41	Nick Pivetta	29	33	33	179.2	10	12	175	4.56	4.42	1.38	8.8	23.5%	11.2%	9.4%	13.2%	111	0.9
42	José Berríos	28	32	32	172.0	12	7	149	5.23	4.55	1.42	7.8	21.3%	10.4%	6.0%	13.8%	115	0.6
43	José Urquidy	27	29	28	164.1	13	8	134	3.94	4.60	1.17	7.3	22.3%	11.6%	5.6%	14.1%	116	0.5
44	Germán Márquez	27	31	31	181.2	9	13	150	4.95	4.71	1.37	7.4	23.2%	11.6%	8.1%	11.2%	119	0.3
45	Marco Gonzales	30	32	32	183.0	10	15	103	4.13	5.05	1.33	5.1	18.3%	9.3%	6.4%	6.8%	127	-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 →