Johnny Cueto

PosP

B/TR/R

Born1986-02-15

Age (2026)40

Career Stats + Projections

Real MLB stats plus park-adjusted projections — this season (so far / rest / full), then future seasons and career totals.

show model inputsbasis chips: RAW = as recorded · CTX = with park/league context · A+C = actual + context combined · MLE = level/park-neutral

Methodology▸ how WAR & MLE are computed

Stats are park-neutral MLB equivalents. The "TEAM" column shows current org affiliation only — we do NOT project at that team's park.
Rates (K%, BB%, HR-BF) are park-stripped; MiLB stat lines are translated to their MLB-equivalent via per-level MLE factors.
WAR is computed from projected runs prevented vs a replacement pitcher (the marginal arm a team would call up if this pitcher were unavailable) — calibrated to industry-standard fWAR.

Year	Age	Lvl	Team	G	GS	IP	BF	K	BB	HR	GS%	IP/G	K%	BB%	K-BB%	HR%	ERA	FIP	WAR
▸ Career — actual stats, one row per year (as recorded, no adjustments)
▸ Career — adjusted (each season translated to a park/league-neutral MLB-equivalent line; levels combined per year)
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2015	29	MLB MLE	Kansas City Royals	32	32	212	866	176	45	21	100%	6.6	20.3%	5.2%	15.1%	2.6%	3.44	3.48	+3.7
2015	29	MLB RAW	Kansas City Royals	32	32	212	866	176	45	21	100%	6.6	20.3%	5.2%	15.1%	2.4%	3.44	3.36	+4.0
2016	30	MLB MLE	San Francisco Giants	32	32	220	881	198	44	15	100%	6.9	22.5%	5.0%	17.5%	1.8%	2.79	2.85	+5.8
2016	30	MLB RAW	San Francisco Giants	32	32	220	881	198	44	15	100%	6.9	22.5%	5.0%	17.5%	1.7%	2.79	2.79	+6.0
2017	31	MIX MLE	3 levels	28	28	157	692	145	52	23	100%	5.6	21.0%	7.9%	13.1%	3.7%	4.53	4.34	+1.0
2017	31	MIX RAW	3 levels	28	28	157	692	145	52	23	100%	5.6	21.0%	7.5%	13.4%	3.3%	4.53	4.15	+1.4
2018	32	MIX MLE	2 levels	11	11	61	244	48	14	8	100%	5.5	17.8%	6.1%	11.7%	4.0%	2.82	4.59	+0.2
2018	32	MIX RAW	2 levels	11	11	61	244	48	14	8	100%	5.5	19.7%	5.7%	13.9%	3.3%	2.82	3.92	+0.7
2019	33	MIX MLE	4 levels	10	10	37	151	34	10	6	100%	3.7	19.4%	13.4%	6.0%	4.8%	4.10	5.82	-0.4
2019	33	MIX RAW	4 levels	10	10	37	151	34	10	6	100%	3.7	22.5%	6.6%	15.9%	4.0%	4.10	4.17	+0.3
2020	34	MLB MLE	San Francisco Giants	12	12	63	277	56	26	9	100%	5.3	20.2%	9.4%	10.8%	3.5%	5.40	4.51	+0.3
2020	34	MLB RAW	San Francisco Giants	12	12	63	277	56	26	9	100%	5.3	20.2%	9.4%	10.8%	3.2%	5.40	4.41	+0.4
2021	35	MIX MLE	2 levels	23	22	116	500	99	30	15	96%	5.1	20.0%	5.9%	14.1%	3.3%	4.10	3.98	+1.3
2021	35	MIX RAW	2 levels	23	22	116	500	99	30	15	96%	5.1	19.8%	6.0%	13.8%	3.0%	4.10	3.85	+1.5
2022	36	MIX MLE	2 levels	29	28	174	714	119	35	18	97%	6.0	16.4%	4.9%	11.5%	2.4%	3.52	3.65	+2.6
2022	36	MIX RAW	2 levels	29	28	174	714	119	35	18	97%	6.0	16.7%	4.9%	11.8%	2.5%	3.52	3.68	+2.6
2023	37	MIX MLE	3 levels	20	17	81	359	53	22	33	85%	4.1	15.2%	6.2%	9.0%	10.3%	7.52	8.28	-3.0
2023	37	MIX MLE	3 levels	20	17	81	359	53	22	33	85%	4.1	15.2%	6.2%	9.0%	10.3%	7.52	8.28	-3.0
2023	37	MIX RAW	3 levels	20	17	81	359	53	22	33	85%	4.1	14.8%	6.1%	8.6%	9.2%	7.52	7.88	-2.7
2024	38	MIX MLE	3 levels	15	15	76	323	55	15	14	100%	5.0	13.9%	4.4%	9.5%	4.9%	5.11	5.14	-0.2
2024	38	MIX MLE	3 levels	15	15	76	323	55	15	14	100%	5.0	13.9%	4.4%	9.5%	4.9%	5.11	5.14	-0.2
2024	38	MIX RAW	3 levels	15	15	76	323	55	15	14	100%	5.0	17.0%	4.6%	12.4%	4.3%	5.11	4.65	+0.2
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			176	171	1048	4362	862	265	129	97%	6.0	19.8%	6.1%	13.7%	3.0%	3.81	3.81	+13.7
▸ 2026 season — projected remainder (no 2026 stats recorded)
2026	40	MLB	LAA	2	2	13	55	8	4	2	100%	6.5	13.8%	6.9%	6.9%	4.2%	5.19	5.48	-0.1
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	41	MLB MLE	LAA	22	22	129	546	69	41	25	100%	5.9	12.6%	7.5%	5.1%	4.6%	5.63	5.92	-1.4
2027	41	MLB CTX	LAA	22	22	129	545	69	41	26	100%	5.9	12.6%	7.5%	5.1%	4.7%	5.68	5.97	-1.4
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		198	193	1177	4908	931	306	155	97%	5.9	19.0%	6.2%	12.7%	3.2%	4.02	4.02	+12.3
/ 200 IP	—	RAW		34	33	200	834	158	52	26	97%	6.0	19.0%	6.2%	12.7%	3.2%	4.02	4.02	+2.1
Career	—	MLE		212	207	1197	5007	964	306	178	98%	5.6	19.3%	6.1%	13.2%	3.5%	4.01	4.19	+12.0
/ 200 IP	—	MLE		35	35	200	836	161	51	30	98%	5.6	19.3%	6.1%	13.2%	3.5%	4.01	4.19	+2.0

Player	162s	IP/yr	K%	BB%	HR/9	ERA
OGILVIE CAREER PROJECTION	1.4	140	13.2%	7.2%	1.70	5.39
Homer Bailey ('19)	1.9	96	18.5%	7.8%	1.34	5.56
Dan Straily ('19)	2.7	136	20.0%	8.9%	1.72	4.54
Cole Irvin ('24)	2.9	118	17.1%	5.6%	1.28	4.46
Zach Plesac ('23)	2.3	93	18.4%	6.3%	1.39	4.20
Yonny Chirinos ('24)	1.7	84	18.9%	6.6%	1.38	4.37
Sam Gaviglio ('19)	1.5	98	19.3%	6.9%	1.69	4.84

Johnny Cueto

Career Stats + Projections

Career Path Comps

Career Comps

			Profile at Match Age					Next 3 Yrs				Career
Comp	Age	Role	FIP	K%	BB%	HR/BF	BABIP	FIP	K%	K-BB%	IP	ΔFIP	Low FIP	IP	Match
Johnny Cueto (OGILVIE)	—	—	5.48	13.8%	6.9%	4.2%	—	5.92	12.6%	5.1%	129	+0.44	—	—	—
Aaron Harang R 2015 · 4.47 FIP	37	SP	4.47	14.4%	6.4%	3.2%	.288	—	—	—	—	—	4.47	172	81
Tim Hudson R 2015 · 4.41 FIP	40	SP	4.41	12.2%	6.9%	2.7%	.294	—	—	—	—	—	4.41	124	75
Francisco Campos R 2015 · 4.77 FIP	42	SP	4.77	11.5%	7.9%	3.0%	.303	4.08	12.2%	7.0%	197	-0.69	4.06	332	70
Pablo Ortega R 2017 · 4.42 FIP	40	SP	4.42	13.4%	6.0%	3.1%	.298	5.20	12.4%	4.2%	14	+0.78	4.01	375	70
Sergio Mitre R 2019 · 4.54 FIP	38	SP	4.54	11.8%	6.5%	2.9%	.355	—	—	—	—	—	4.54	156	65
R.A. Dickey R 2015 · 4.31 FIP	40	SP	4.31	14.3%	6.8%	2.8%	.253	4.63	17.0%	8.7%	360	+0.32	4.31	574	60
John Lackey R 2017 · 5.05 FIP	38	SP	5.05	20.4%	6.8%	5.1%	.260	—	—	—	—	—	3.51	577	55
Ryan Vogelsong R 2016 · 4.79 FIP	39	SP-	4.79	16.7%	10.4%	3.2%	.270	—	—	—	—	—	4.45	217	41
Jason Lane L 2015 · 5.56 FIP	38	SP	5.56	8.4%	6.2%	4.3%	.307	—	—	—	—	—	5.56	164	38
Mauricio Lara L 2019 · 4.96 FIP	40	SP	4.96	12.3%	6.8%	3.7%	.311	—	—	—	—	—	3.62	444	38
Barry Zito L 2015 · 4.52 FIP	37	SP	4.52	13.6%	10.7%	2.2%	.259	—	—	—	—	—	4.52	138	35
Juan Antonio Pena L 2019 · 4.56 FIP	41	SW	4.56	13.7%	14.1%	1.5%	.313	—	—	—	—	—	4.20	149	0