Angel Cuenca

P Palm Beach Cardinals

Age 26 RHP 6'1" / 160 lbs A

Overview

APROSPECT

MLB%0%

Year	Age	Lvl / Team	G	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2023	22	ASTL	31	53	5.47	4.05	23.8%	7.9%	—	K 17.6% · BB 9.4% · FIP 5.29
2024	23	MIX2 levels	35	52	3.81	3.23	18.7%	7.8%	—	K 14.0% · BB 8.4% · FIP 3.96
2025	24	ASTL	22	36	6.75	4.93	18.6%	17.5%	—	K 13.8% · BB 20.7% · FIP 5.80
2027PROJ	26	MLBSTL	22	23	5.41	5.41	18.7%	15.0%	-0.2
2028PROJ36% MLB	27	MLBSTL	11	12	5.33	5.34	19.1%	14.5%	-0.1

Next 2 projected WAR -0.3Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

CompsGrant Black (age 27) · Haden Erbe (age 25) · Jeremy Guthrie (age 27)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 136128vR 120

ERA5.41

FIP5.41

K%18.7%

BB%15.0%

K-BB%3.7%

Proj IP23

Value2027 · WAR

Runs saved vs league avg · 23 IP

Grades · Contract

Scouting Grades

K†4545

Contract

No contract data on file. Pre-MLB players and minor-league free agents do not yet have salary projections — entries are added at first 40-man roster placement.

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 + 2027 so far)
2018	17	ROK MLE	DSL Cardinals Blue	12	5	35	154	33	13	1	42%	2.9	14.6%	10.6%	4.0%	0.9%	4.15	3.71	—
2018	17	ROK RAW	DSL Cardinals Blue	12	5	35	154	33	13	1	42%	2.9	21.4%	8.4%	13.0%	0.6%	4.15	2.70	—
2019	18	ROK MLE	DSL Cardinals Red	12	12	63	240	60	18	3	100%	5.2	17.0%	9.4%	7.6%	1.7%	2.00	3.81	—
2019	18	ROK RAW	DSL Cardinals Red	12	12	63	240	60	18	3	100%	5.2	25.0%	7.5%	17.5%	1.2%	2.00	2.67	—
2021	20	A MLE	Palm Beach Cardinals	4	0	8	48	10	7	0	0%	1.9	20.8%	14.6%	6.2%	0.0%	7.04	3.19	—
2021	20	A RAW	Palm Beach Cardinals	4	0	8	48	10	7	0	0%	1.9	20.8%	14.6%	6.2%	0.0%	7.04	3.23	—
2022	21	MIX MLE	2 levels	18	2	20	95	21	11	1	11%	1.1	17.7%	12.7%	5.1%	1.8%	4.43	4.20	—
2022	21	MIX RAW	2 levels	18	2	20	95	21	11	1	11%	1.1	22.1%	11.6%	10.5%	1.1%	4.43	3.30	—
2023	22	A MLE	Palm Beach Cardinals	31	0	53	227	54	18	8	0%	1.7	17.6%	9.4%	8.2%	4.5%	5.47	5.29	—
2023	22	A RAW	Palm Beach Cardinals	31	0	53	227	54	18	8	0%	1.7	23.8%	7.9%	15.9%	3.5%	5.47	4.05	—
2024	23	MIX MLE	2 levels	35	0	52	230	43	18	3	0%	1.5	14.0%	8.4%	5.6%	1.8%	3.81	3.96	—
2024	23	MIX MLE	2 levels	35	0	52	230	43	18	3	0%	1.5	14.0%	8.4%	5.6%	1.8%	3.81	3.96	—
2024	23	MIX RAW	2 levels	35	0	52	230	43	18	3	0%	1.5	18.7%	7.8%	10.9%	1.3%	3.81	3.23	—
2025	24	A MLE	Palm Beach Cardinals	22	0	36	177	33	31	3	0%	1.6	13.8%	20.7%	-6.9%	2.3%	6.75	5.80	—
2025	24	A MLE	Palm Beach Cardinals	22	0	36	177	33	31	3	0%	1.6	13.8%	20.7%	-6.9%	2.3%	6.75	5.80	—
2025	24	A RAW	Palm Beach Cardinals	22	0	36	177	33	31	3	0%	1.6	18.6%	17.5%	1.1%	1.7%	6.75	4.93	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	26	MLB	STL	22	0	23	97	18	15	3	0%	1.0	18.7%	15.0%	3.7%	2.9%	5.41	5.41	-0.2
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	27	MLB MLE	STL	30	0	32	135	26	19	4	0%	1.1	19.1%	14.5%	4.7%	3.0%	5.33	5.34	-0.3
2028	27	MLB CTX	STL	11	0	12	51	10	7	2	0%	1.1	19.1%	14.5%	4.7%	3.0%	5.33	5.34	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		11	0	12	49	9	7	1	0%	1.1	19.1%	14.5%	4.7%	3.0%	5.33	4.96	-0.1
/ 200 IP	—	RAW		190	0	200	844	155	121	17	0%	1.1	19.1%	14.5%	4.7%	3.0%	5.33	4.96	-1.0
Career	—	MLE		134	19	266	1171	187	135	26	14%	2.0	15.9%	11.5%	4.4%	2.2%	4.29	4.42	-0.3
/ 200 IP	—	MLE		101	14	200	879	140	101	19	14%	2.0	15.9%	11.5%	4.4%	2.2%	4.29	4.42	-1.8

Career Path Comps

What happened to similar pitchers from this age · Y-axis: ERA+ (100 = league avg, 150 = elite, 80 = below) · Bands: P10–P90 outer, P25–P75 inner · Gold: OGILVIE projection

			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
Angel Cuenca (OGILVIE)	—	—	5.41	18.7%	15.0%	2.9%	—	5.34	19.1%	4.7%	32	-0.07	—	—	—
Grant Black R 2021 · 4.46 FIP	27	SW	4.46	19.0%	13.9%	2.2%	.327	5.35	15.0%	3.8%	156	+0.89	4.46	215	85
Haden Erbe R 2024 · 5.28 FIP	25	SU	5.28	18.4%	16.5%	3.0%	.320	5.19	17.8%	0.5%	40	-0.09	5.19	116	84
Jeremy Guthrie R 2006 · 4.92 FIP	27	SU	4.92	15.1%	15.1%	2.1%	.349	4.57	14.8%	8.1%	566	-0.35	4.08	1,834	83
Hayden Snelsire R 2024 · 5.10 FIP	23	SU	5.10	18.9%	13.8%	3.4%	.272	4.28	20.0%	13.7%	135	-0.82	3.83	178	83
Thad Weber R 2013 · 5.18 FIP	28	SU	5.18	16.4%	13.1%	3.3%	.244	4.52	12.2%	6.0%	308	-0.66	4.40	378	83
Spencer Bivens R 2022 · 4.86 FIP	28	SU	4.86	19.8%	13.5%	3.1%	.265	3.85	18.1%	10.3%	272	-1.01	3.52	391	82
David Holman R 2017 · 5.53 FIP	27	SU	5.53	15.6%	12.7%	3.9%	.324	5.45	9.6%	0.5%	107	-0.08	5.28	129	81
Derek Eitel R 2015 · 4.35 FIP	27	SU	4.35	18.1%	13.9%	1.8%	.338	4.26	19.7%	5.0%	113	-0.09	3.96	138	81
Justin Courtney R 2022 · 5.11 FIP	26	SU	5.11	16.8%	12.8%	3.3%	.331	8.63	18.4%	7.1%	21	+3.52	4.58	108	81
Jake Gilbert R 2022 · 4.65 FIP	25	SU	4.65	18.2%	16.2%	1.9%	.331	—	—	—	—	—	4.14	103	81
Logan Taylor R 2018 · 4.79 FIP	26	SU	4.79	17.2%	12.1%	2.9%	.316	—	—	—	—	—	3.55	300	81
Tyler Davis R 2024 · 6.02 FIP	25	SU	6.02	21.0%	18.8%	4.2%	.317	3.78	21.9%	10.2%	111	-2.24	3.20	137	80
Julian Arballo R 2015 · 5.13 FIP	27	SU	5.13	15.1%	13.8%	2.8%	.335	4.46	12.6%	0.6%	116	-0.67	4.45	214	80
Ryan Conroy R 2022 · 4.75 FIP	25	SU	4.75	19.3%	12.6%	3.1%	.361	—	—	—	—	—	4.01	106	80
Juan Paniagua R 2016 · 4.57 FIP	26	SU	4.57	17.7%	14.7%	2.0%	.246	4.75	12.9%	-1.0%	29	+0.18	4.57	151	79
Casey Fien R 2009 · 5.17 FIP	25	SU	5.17	17.0%	11.3%	3.8%	.306	2.79	22.7%	19.2%	35	-2.38	2.79	308	79
Nolan Riggs R 2018 · 4.49 FIP	25	SU	4.49	20.7%	14.0%	2.5%	.300	—	—	—	—	—	2.36	132	79
Roman Phansalkar R 2024 · 5.39 FIP	26	SU	5.39	15.8%	13.2%	3.6%	.294	4.33	18.2%	3.7%	31	-1.06	4.33	164	79
Luis García R 2013 · 4.92 FIP	26	SU	4.92	16.7%	16.7%	2.0%	.270	3.68	20.3%	9.3%	151	-1.24	2.33	662	79
Jake Johansen R 2017 · 4.65 FIP	26	SU	4.65	15.9%	12.1%	2.5%	.273	3.65	12.8%	4.9%	48	-1.00	3.65	162	79

Career Comps

Completed MLB careers (no pro action in 2+ yrs) whose totals — actual + projected — most resemble this player's. Pool: 1,474 reliever careers (754 from 1990-2025 + 720 historical, 1901-2023), also matched on career-to-date at the same age. * Historical (Lahman) careers: rates era-adjusted to 2001-24 league levels; WAR is an OGILVIE proxy.

Player	162s	IP/yr	K%	BB%	HR/9	ERA
OGILVIE CAREER PROJECTION	0.3	28	18.9%	14.7%	1.15	5.36
Richie Lewis ('98)	1.5	59	18.1%	14.1%	1.38	4.88
Ron Piche ('60-'66, -3 WAR*)	1.1	44	20.6%*	12.8%*	1.14*	5.06*
Gene Harris ('89-'95, -1 WAR*)	1.2	40	20.0%*	12.5%*	0.98*	4.96*
Brian Bruney ('12)	1.3	43	21.2%	15.8%	0.94	4.68
Doug Bochtler ('00)	1.3	65	18.6%	14.4%	1.25	4.57
Fred Lasher ('63-'71, -1 WAR*)	1.0	50	21.5%*	11.9%*	1.05*	4.68*