Angel Reyes

P Erie SeaWolves

Age 29 RHP 6'2" / 205 lbs AA

Overview

AAPROSPECT

MLB%2%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2022	24	MIX2 levels	30	3	47	3.99	4.07	17.6%	10.8%	—	K 13.3% · BB 12.6% · FIP 5.04
2023	25	A+DET	34	4	56	4.50	3.30	17.7%	9.8%	—	K 13.6% · BB 11.3% · FIP 3.99
2024	26	MIX3 levels	35	4	67	5.40	4.46	16.7%	11.1%	—	K 13.2% · BB 11.4% · FIP 5.20
2027PROJ	29	MLBDET	41	0	43	4.93	4.93	17.9%	10.3%	-0.2
2028PROJ31% MLB	30	MLBDET	12	0	13	4.98	5.05	18.1%	10.5%	-0.1

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

Contract

No contract data on file.

CompsWirfin Obispo (age 30) · Jim Miller (age 30) · Angel Castro (age 32)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 127119vR 111

ERA4.93

FIP4.93

K%17.9%

BB%10.3%

K-BB%7.6%

Proj IP43

Value2027 · WAR

Runs saved vs league avg · 43 IP

Grades · Contract

Scouting Grades

K†4045

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	20	ROK MLE	GCL Tigers West	15	0	23	103	25	16	1	0%	1.6	16.5%	19.4%	-2.9%	1.4%	3.09	4.91	—
2018	20	ROK RAW	GCL Tigers West	15	0	23	103	25	16	1	0%	1.6	24.3%	15.5%	8.7%	1.0%	3.09	3.57	—
2019	21	A MLE	West Michigan Whitecaps	46	0	60	267	64	34	4	0%	1.3	17.7%	15.0%	2.7%	2.2%	3.60	4.70	—
2019	21	A RAW	West Michigan Whitecaps	46	0	60	267	64	34	4	0%	1.3	24.0%	12.7%	11.2%	1.5%	3.60	3.53	—
2021	23	A+ MLE	West Michigan Whitecaps	40	0	59	252	54	17	5	0%	1.5	16.5%	7.8%	8.7%	2.9%	3.51	4.31	—
2021	23	A+ RAW	West Michigan Whitecaps	40	0	59	252	54	17	5	0%	1.5	21.4%	6.7%	14.7%	2.0%	3.51	3.24	—
2022	24	MIX MLE	2 levels	30	3	47	204	36	22	4	10%	1.6	13.3%	12.6%	0.7%	2.7%	3.99	5.04	—
2022	24	MIX RAW	2 levels	30	3	47	204	36	22	4	10%	1.6	17.6%	10.8%	6.9%	2.0%	3.99	4.07	—
2023	25	A+ MLE	West Michigan Whitecaps	34	4	56	254	45	25	2	12%	1.6	13.6%	11.3%	2.3%	1.1%	4.50	3.99	—
2023	25	A+ RAW	West Michigan Whitecaps	34	4	56	254	45	25	2	12%	1.6	17.7%	9.8%	7.9%	0.8%	4.50	3.30	—
2024	26	MIX MLE	3 levels	35	4	67	306	51	34	7	11%	1.9	13.2%	11.4%	1.8%	3.2%	5.40	5.20	—
2024	26	MIX MLE	3 levels	35	4	67	306	51	34	7	11%	1.9	13.2%	11.4%	1.8%	3.2%	5.40	5.20	—
2024	26	MIX RAW	3 levels	35	4	67	306	51	34	7	11%	1.9	16.7%	11.1%	5.6%	2.3%	5.40	4.46	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	29	MLB	DET	41	0	43	182	33	19	5	0%	1.0	17.9%	10.3%	7.6%	3.0%	4.93	4.93	-0.2
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	30	MLB MLE	DET	38	0	40	170	31	18	5	0%	1.1	18.1%	10.5%	7.7%	3.2%	4.98	5.05	-0.2
2028	30	MLB CTX	DET	12	0	13	55	10	6	2	0%	1.1	18.1%	10.5%	7.7%	3.2%	4.98	5.05	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		12	0	13	53	10	6	2	0%	1.0	18.1%	10.5%	7.7%	3.2%	4.98	4.67	-0.0
/ 200 IP	—	RAW		190	0	200	844	159	95	32	0%	1.1	18.1%	10.5%	7.7%	3.2%	4.98	4.67	-0.3
Career	—	MLE		200	11	312	1386	208	169	33	6%	1.6	15.0%	12.2%	2.8%	2.4%	4.15	4.68	-0.2
/ 200 IP	—	MLE		128	7	200	888	133	108	21	6%	1.6	15.0%	12.2%	2.8%	2.4%	4.15	4.68	-1.2

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 Reyes (OGILVIE)	—	—	4.93	17.9%	10.3%	3.0%	—	5.05	18.1%	7.6%	40	+0.12	—	—	—
Wirfin Obispo R 2015 · 4.80 FIP	30	SU	4.80	18.6%	12.2%	3.1%	.292	1.31	28.6%	24.5%	126	-3.49	1.30	218	89
Jim Miller R 2012 · 4.56 FIP	30	SU	4.56	20.9%	11.8%	3.1%	.243	3.95	18.8%	14.7%	74	-0.61	3.95	140	87
Angel Castro R 2015 · 4.50 FIP	32	SU	4.50	15.9%	8.0%	3.1%	.268	4.28	13.6%	5.5%	231	-0.22	3.51	292	87
Dustin Molleken R 2015 · 3.74 FIP	30	SU	3.74	20.4%	11.7%	1.6%	.287	3.90	20.6%	8.4%	77	+0.16	3.38	129	85
Gregory Infante R 2016 · 4.47 FIP	29	SU	4.47	19.0%	12.3%	2.6%	.333	3.43	22.5%	15.8%	120	-1.04	2.97	230	84
Brandon Cunniff R 2017 · 4.79 FIP	28	SU	4.79	20.1%	11.6%	3.5%	.275	6.80	13.9%	-1.9%	30	+2.01	3.89	180	83
Neil Wagner R 2013 · 4.02 FIP	29	SU	4.02	20.5%	7.5%	3.1%	.306	4.05	19.8%	7.5%	43	+0.03	3.11	135	82
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	82
Diego Moreno R 2016 · 3.75 FIP	29	SU	3.75	21.0%	8.2%	2.5%	.347	3.13	17.8%	11.9%	54	-0.62	2.29	187	82
Carlos Fisher R 2011 · 4.33 FIP	28	SU	4.33	15.5%	9.1%	2.5%	.275	—	—	—	—	—	2.48	245	82
Santiago Casilla R 2009 · 4.44 FIP	29	SU	4.44	15.0%	9.4%	2.6%	.324	3.29	22.1%	13.0%	170	-1.15	2.76	647	82
Joe Nelson R 2006 · 3.91 FIP	31	SU	3.91	22.8%	10.4%	2.6%	.258	4.05	23.4%	12.8%	94	+0.14	3.08	139	81
Willie Eyre R 2007 · 4.53 FIP	29	SU	4.53	13.7%	9.1%	2.6%	.306	2.87	11.1%	5.5%	18	-1.66	2.87	164	81
Tyler Walker R 2005 · 4.19 FIP	29	SU	4.19	19.4%	7.5%	3.2%	.303	3.61	19.7%	11.3%	93	-0.58	2.38	289	81
Ronald Peña R 2021 · 4.49 FIP	29	SU	4.49	16.5%	10.4%	2.7%	.288	—	—	—	—	—	3.72	187	80
Francisco Mendoza R 2016 · 3.81 FIP	28	SU	3.81	17.9%	7.7%	2.3%	.344	—	—	—	—	—	3.13	120	80
Bo Schultz R 2015 · 4.30 FIP	29	SU	4.30	18.3%	7.9%	3.2%	.218	3.49	15.1%	8.9%	77	-0.81	2.73	141	80
Drew Hayes R 2016 · 3.99 FIP	28	SU	3.99	13.8%	10.1%	1.4%	.302	—	—	—	—	—	3.35	117	80
Eder Llamas R 2015 · 4.84 FIP	29	SU	4.84	12.3%	8.8%	3.0%	.261	3.64	11.3%	4.6%	120	-1.20	3.23	171	80
Beck Wheeler R 2017 · 5.40 FIP	28	SU	5.40	15.3%	12.2%	3.7%	.347	—	—	—	—	—	3.46	173	80

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	0.4	42	18.0%	10.4%	1.21	4.95
Valerio De Los Santos ('08)	1.3	51	18.7%	11.5%	1.30	4.57
Sam Long ('25)	1.1	42	19.5%	9.7%	1.28	4.65
Pedro Borbón ('03)	1.4	45	18.5%	11.1%	1.10	4.68
Kevin Hickey ('81-'91, 0 WAR*)	1.2	47	17.7%*	10.2%*	1.10*	4.27*
Bob Macdonald ('90-'96, 1 WAR*)	1.2	59	18.3%*	9.8%*	1.20*	4.32*
Bill Wilson ('69-'73, -0 WAR*)	1.3	52	20.3%*	11.5%*	1.13*	4.84*