Oliver Castillo

P DSL Tigers 1

Age 22 RHP 5'11" / 180 lbs ROK

Overview

ROKPROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2025	20	ROKDSL Tigers 1	19	27	7.67	5.58	15.3%	13.9%	—	K 10.4% · BB 17.3% · FIP 5.11
2026	21	ROKDSL Tigers 1	21	25	8.76	4.28	19.8%	14.0%	—	K 13.5% · BB 17.6% · FIP 5.46
2027PROJ	22	MLBDET	14	15	5.53	5.53	18.6%	15.8%	-0.2
2028PROJ49% MLB	23	MLBDET	11	12	5.22	5.10	20.2%	13.7%	-0.1

Next 2 projected WAR -0.2Projected 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%

CompsMichael Perez (age 21) · Jackson Rose (age 22) · Kasey Ford (age 23)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 138130vR 122

ERA5.53

FIP5.53

K%18.6%

BB%15.8%

K-BB%2.8%

Proj IP15

Value2027 · WAR

Runs saved vs league avg · 15 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	20	ROK MLE	DSL Tigers 1	19	0	27	137	21	19	4	0%	1.4	10.4%	17.3%	-6.9%	1.3%	7.67	5.11	—
2025	20	ROK MLE	DSL Tigers 1	19	0	27	137	21	19	4	0%	1.4	10.4%	17.3%	-6.9%	1.3%	7.67	5.11	—
2025	20	ROK RAW	DSL Tigers 1	19	0	27	137	21	19	4	0%	1.4	15.3%	13.9%	1.5%	2.9%	7.67	5.58	—
2026	21	ROK MLE	DSL Tigers 1	21	0	25	121	24	17	2	0%	1.2	13.5%	17.6%	-4.1%	2.3%	8.76	5.46	—
2026	21	ROK MLE	DSL Tigers 1	21	0	25	121	24	17	2	0%	1.2	13.5%	17.6%	-4.1%	2.3%	8.76	5.46	—
2026	21	ROK RAW	DSL Tigers 1	21	0	25	121	24	17	2	0%	1.2	19.8%	14.0%	5.8%	1.7%	8.76	4.28	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	22	MLB	DET	14	0	15	63	12	10	2	0%	1.1	18.6%	15.8%	2.8%	2.9%	5.53	5.53	-0.2
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	23	MLB MLE	DET	24	0	25	106	21	15	3	0%	1.1	20.2%	13.7%	6.5%	2.9%	5.22	5.10	-0.2
2028	23	MLB CTX	DET	11	0	12	51	10	7	1	0%	1.1	20.2%	13.7%	6.5%	2.9%	5.22	5.10	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		12	0	12	52	11	7	2	0%	1.0	20.2%	13.7%	6.5%	2.9%	5.22	4.72	-0.0
/ 200 IP	—	RAW		190	0	200	844	178	113	32	0%	1.1	20.2%	13.7%	6.5%	2.9%	5.22	4.72	-0.4
Career	—	MLE		40	0	52	258	31	45	5	0%	1.3	11.9%	17.4%	-5.6%	1.8%	8.19	5.27	-0.2
/ 200 IP	—	MLE		155	0	200	999	118	174	18	0%	1.3	11.9%	17.4%	-5.6%	1.8%	8.19	5.27	-1.3

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
Oliver Castillo (OGILVIE)	—	—	5.53	18.6%	15.8%	2.9%	—	5.10	20.2%	6.5%	25	-0.43	—	—	—
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	93
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	91
Kasey Ford R 2021 · 4.89 FIP	23	SU	4.89	20.3%	14.5%	3.0%	.310	4.26	21.9%	5.8%	98	-0.63	2.53	114	91
Tyler Smith R 2018 · 5.30 FIP	22	SU	5.30	17.8%	14.3%	3.4%	.329	4.35	19.8%	7.8%	94	-0.95	3.44	121	90
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	90
Jason Ruffcorn R 2021 · 4.74 FIP	23	SU	4.74	16.6%	14.2%	2.3%	.297	4.69	17.6%	4.2%	136	-0.05	4.01	283	89
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	88
Cory Thompson R 2017 · 5.42 FIP	22	SU	5.42	15.2%	15.7%	2.9%	.289	4.34	16.3%	10.6%	131	-1.08	3.59	218	88
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	88
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	88
Fabian Anguamea R 2016 · 5.11 FIP	22	SU	5.11	16.6%	15.2%	2.7%	.295	4.53	15.8%	1.8%	96	-0.58	3.99	164	87
Stefan Raeth R 2023 · 4.62 FIP	22	SU	4.62	18.0%	15.4%	2.0%	.309	4.73	17.5%	8.3%	124	+0.11	4.51	173	87
Brandon Dufault R 2021 · 5.32 FIP	22	SU	5.32	22.1%	15.9%	3.8%	.278	4.83	21.0%	4.2%	66	-0.49	4.38	152	87
Carlos Contreras R 2014 · 4.77 FIP	23	SU	4.77	20.2%	18.1%	2.0%	.304	4.35	18.4%	5.0%	107	-0.42	4.29	127	87
Zack Hess R 2019 · 5.00 FIP	22	SU	5.00	18.1%	13.1%	3.2%	.232	5.47	22.9%	6.3%	50	+0.47	5.00	101	87
Morgan McSweeney R 2021 · 5.36 FIP	23	SU	5.36	21.9%	16.3%	3.7%	.295	5.15	18.5%	5.3%	93	-0.21	3.20	213	86
Randy Messenger R 2005 · 4.90 FIP	23	SU	4.90	16.3%	12.9%	2.8%	.281	3.93	13.8%	7.1%	137	-0.97	3.56	174	86
Brooks Crawford R 2019 · 4.78 FIP	22	SU	4.78	14.9%	13.7%	2.2%	.262	3.56	22.1%	14.5%	103	-1.22	2.50	296	86
Miguel Alfonseca R 2022 · 4.78 FIP	22	SU	4.78	20.1%	16.4%	2.4%	.354	5.73	11.6%	-3.8%	56	+0.95	4.19	123	86
Carson Hobbs R 2024 · 5.63 FIP	22	SU	5.63	18.9%	13.6%	4.4%	.303	3.97	22.0%	10.4%	118	-1.66	3.54	143	86