Starling Reyes

P DSL Angels

Age 20 RHP 6'4" / 205 lbs ROK

Overview

ROKPROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2025	18	ROKLAA	14	18	9.50	6.49	17.0%	19.1%	—	K 11.6% · BB 23.9% · FIP 7.67
2026	19	ROKLAA	13	23	8.10	4.39	22.0%	22.8%	—	K 14.9% · BB 28.5% · FIP 5.44
2027PROJ	20	MLBLAA	12	13	5.96	5.96	19.6%	20.0%	-0.2
2028PROJ49% MLB	21	MLBLAA	10	11	5.59	5.45	20.6%	16.8%	-0.1

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

Contract

No contract data on file.

Career WAR0 WAR median (P10 0 / P90 0, comp-based) · star 0% · didn't stick 100%

CompsElison Joseph (age 20) · Michael Perez (age 21) · Hudson Leach (age 22)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 146138vR 130

ERA5.96

FIP5.96

K%19.6%

BB%20.0%

K-BB%-0.4%

Proj IP13

Value2027 · WAR

Runs saved vs league avg · 13 IP

Grades · Contract

Scouting Grades

K†4550

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)
2025	18	ROK MLE	DSL Angels	14	0	18	94	16	18	3	0%	1.3	11.6%	23.9%	-12.4%	4.6%	9.50	7.67	—
2025	18	ROK MLE	DSL Angels	14	0	18	94	16	18	3	0%	1.3	11.6%	23.9%	-12.4%	4.6%	9.50	7.67	—
2025	18	ROK RAW	DSL Angels	14	0	18	94	16	18	3	0%	1.3	17.0%	19.1%	-2.1%	3.2%	9.50	6.49	—
2026	19	ROK MLE	DSL Angels	13	0	23	123	27	28	0	0%	1.8	14.9%	28.5%	-13.5%	0.0%	8.10	5.44	—
2026	19	ROK MLE	DSL Angels	13	0	23	123	27	28	0	0%	1.8	14.9%	28.5%	-13.5%	0.0%	8.10	5.44	—
2026	19	ROK RAW	DSL Angels	13	0	23	123	27	28	0	0%	1.8	22.0%	22.8%	-0.8%	0.0%	8.10	4.39	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	20	MLB	LAA	12	0	13	55	11	11	2	0%	1.1	19.6%	20.0%	-0.4%	2.9%	5.96	5.96	-0.2
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	21	MLB MLE	LAA	21	0	22	93	19	16	3	0%	1.1	20.6%	16.8%	3.7%	2.9%	5.59	5.45	-0.2
2028	21	MLB CTX	LAA	10	0	11	46	10	8	1	0%	1.1	20.6%	16.8%	3.7%	2.9%	5.59	5.45	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		10	0	11	46	9	8	1	0%	1.1	20.6%	16.8%	3.7%	2.9%	5.59	5.07	-0.1
/ 200 IP	—	RAW		190	0	200	844	166	147	18	0%	1.0	20.6%	16.8%	3.7%	2.9%	5.59	5.07	-1.2
Career	—	MLE		27	0	41	217	29	58	4	0%	1.5	13.5%	26.5%	-13.0%	2.0%	8.71	6.41	-0.2
/ 200 IP	—	MLE		131	0	200	1050	141	278	21	0%	1.5	13.5%	26.5%	-13.0%	2.0%	8.71	6.41	-2.1

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
Starling Reyes (OGILVIE)	—	—	5.96	19.6%	20.0%	2.9%	—	5.45	20.6%	3.7%	22	-0.51	—	—	—
Elison Joseph R 2021 · 5.31 FIP	20	SU	5.31	17.4%	19.2%	2.3%	.254	4.55	23.5%	6.8%	133	-0.76	3.32	217	90
Michael Perez R 2024 · 5.44 FIP	21	SU	5.44	18.3%	16.1%	3.4%	.296	4.65	23.4%	7.7%	132	-0.79	4.38	153	87
Hudson Leach R 2024 · 5.37 FIP	22	SU	5.37	20.5%	20.0%	2.7%	.261	4.54	20.9%	3.1%	71	-0.83	2.77	101	87
Daniel Lloyd R 2021 · 5.40 FIP	20	SU	5.40	20.4%	22.4%	2.2%	.367	4.15	18.0%	8.5%	226	-1.25	3.59	319	87
Jackson Rose R 2018 · 5.32 FIP	22	SU	5.32	17.3%	17.2%	2.8%	.267	4.77	23.5%	16.5%	56	-0.55	3.33	147	85
Conor Grady R 2021 · 5.28 FIP	22	SU	5.28	17.2%	19.0%	2.2%	.242	4.62	16.9%	5.1%	96	-0.66	4.62	108	85
Paul Gervase R 2022 · 4.91 FIP	22	SU	4.91	20.3%	16.2%	2.7%	.345	3.76	29.3%	16.0%	152	-1.15	3.38	211	84
Adrian Rodriguez R 2021 · 6.92 FIP	20	SU	6.92	23.1%	34.0%	2.7%	.368	5.46	23.1%	-1.6%	93	-1.46	2.43	148	84
Angel Reyes R 2018 · 4.91 FIP	20	SU	4.91	16.5%	19.4%	1.4%	.328	4.51	17.1%	5.7%	119	-0.40	3.99	308	84
Will Varmette R 2024 · 5.06 FIP	21	SU	5.06	22.8%	19.3%	2.6%	.302	5.13	16.1%	2.3%	135	+0.07	4.69	182	84
Ryan Harbin R 2022 · 5.47 FIP	20	SU	5.47	14.4%	18.9%	2.2%	.317	4.18	24.0%	8.1%	156	-1.29	3.82	185	84
Jordy Luciano R 2022 · 4.97 FIP	21	SU	4.97	24.9%	22.3%	2.1%	.306	5.33	17.1%	-4.8%	80	+0.36	4.97	104	84
Samuel Fabian R 2023 · 6.61 FIP	20	SU	6.61	16.8%	27.4%	2.7%	.352	4.33	17.2%	4.8%	64	-2.28	4.21	120	83
Greg Weissert R 2016 · 5.22 FIP	21	SU	5.22	19.4%	19.3%	2.4%	.382	3.80	23.0%	10.3%	126	-1.42	2.57	487	83
Tommy McCollum R 2021 · 6.21 FIP	22	SU	6.21	17.1%	27.2%	2.0%	.235	3.80	26.4%	10.9%	112	-2.41	2.90	219	83
Keith Rogalla R 2017 · 4.87 FIP	21	SU	4.87	15.9%	19.1%	1.3%	.299	3.52	21.2%	9.5%	24	-1.35	3.10	113	83
Ismael Aquino R 2019 · 4.89 FIP	20	SU	4.89	17.0%	16.5%	2.1%	.354	5.58	14.1%	-1.5%	14	+0.69	3.99	122	83
Nick Kuzia R 2017 · 5.18 FIP	21	SU	5.18	16.5%	15.2%	2.8%	.361	5.35	17.6%	6.6%	60	+0.17	4.54	231	83
Andrew Schultz R 2019 · 5.25 FIP	22	SU	5.25	20.9%	17.8%	3.0%	.345	4.59	23.0%	4.7%	45	-0.66	3.56	176	83
Marcus Crescentini R 2015 · 5.80 FIP	22	SU	5.80	21.8%	21.9%	3.2%	.365	3.95	23.3%	11.6%	123	-1.85	2.74	150	83