Ruben Castillo

P Inland Empire 66ers

Age 26 RHP 6'1" / 160 lbs A

Overview

APROSPECT

MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2023	22	ROKLAA	18	0	30	2.37	1.91	39.0%	8.5%	—	K 26.5% · BB 10.6% · FIP 3.73
2024	23	ASEA	20	5	51	7.19	4.31	20.2%	13.1%	—	K 15.0% · BB 15.5% · FIP 5.40
2027PROJ	26	MLBSEA	34	0	36	4.87	4.87	21.3%	12.1%	-0.1
2028PROJ36% MLB	27	MLBSEA	12	0	13	4.83	4.85	21.5%	11.9%	-0.0

Next 2 projected WAR -0.2Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

CompsCody Tucker (age 25) · Jesus Pirela (age 26) · Ronald Peña (age 26)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 126118vR 109

ERA4.87

FIP4.87

K%21.3%

BB%12.1%

K-BB%9.1%

Proj IP36

Value2027 · WAR

Runs saved vs league avg · 36 IP

Grades · Contract

Scouting Grades

K†5050

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)
2021	20	ROK MLE	DSL Yankees 1	17	1	30	116	32	6	0	6%	1.7	18.8%	6.5%	12.3%	0.0%	2.12	2.33	—
2021	20	ROK RAW	DSL Yankees 1	17	1	30	116	32	6	0	6%	1.7	27.6%	5.2%	22.4%	0.0%	2.12	1.55	—
2022	21	ROK MLE	DSL NYY Bombers	16	0	28	119	35	8	1	0%	1.8	20.0%	8.4%	11.6%	0.7%	2.54	2.88	—
2022	21	ROK RAW	DSL NYY Bombers	16	0	28	119	35	8	1	0%	1.8	29.4%	6.7%	22.7%	0.8%	2.54	1.94	—
2023	22	ROK MLE	DSL Angels	18	0	30	118	46	10	2	0%	1.7	26.5%	10.6%	15.9%	2.8%	2.37	3.73	—
2023	22	ROK RAW	DSL Angels	18	0	30	118	46	10	2	0%	1.7	39.0%	8.5%	30.5%	1.7%	2.37	1.91	—
2024	23	A MLE	Inland Empire 66ers	20	5	51	252	51	33	5	25%	2.6	15.0%	15.5%	-0.5%	2.9%	7.19	5.40	—
2024	23	A MLE	Inland Empire 66ers	20	5	51	252	51	33	5	25%	2.6	15.0%	15.5%	-0.5%	2.9%	7.19	5.40	—
2024	23	A RAW	Inland Empire 66ers	20	5	51	252	51	33	5	25%	2.6	20.2%	13.1%	7.1%	2.0%	7.19	4.31	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	26	MLB	SEA	34	0	36	152	32	18	5	0%	1.1	21.3%	12.1%	9.1%	3.0%	4.87	4.87	-0.1
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	27	MLB MLE	SEA	34	0	35	149	32	18	5	0%	1.0	21.5%	11.9%	9.6%	3.0%	4.83	4.85	-0.1
2028	27	MLB CTX	SEA	12	0	13	55	12	7	2	0%	1.1	21.5%	11.9%	9.6%	3.0%	4.83	4.85	-0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		12	0	13	54	12	6	2	0%	1.1	21.5%	11.9%	9.6%	3.0%	4.83	4.47	+0.0
/ 200 IP	—	RAW		190	0	200	844	187	93	31	0%	1.1	21.5%	11.9%	9.6%	3.0%	4.83	4.47	+0.2
Career	—	MLE		71	6	140	605	115	69	12	8%	2.0	18.9%	11.4%	7.5%	1.9%	4.12	3.99	-0.1
/ 200 IP	—	MLE		102	9	200	866	164	99	17	8%	2.0	18.9%	11.4%	7.5%	1.9%	4.12	3.99	-0.7

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
Ruben Castillo (OGILVIE)	—	—	4.87	21.3%	12.1%	3.0%	—	4.85	21.5%	9.6%	35	-0.02	—	—	—
Cody Tucker R 2024 · 4.97 FIP	25	SU	4.97	22.0%	12.0%	4.0%	.272	5.36	15.8%	-1.9%	40	+0.39	4.97	105	86
Jesus Pirela R 2015 · 3.84 FIP	26	SU	3.84	23.7%	11.6%	2.3%	.305	3.92	17.1%	13.9%	45	+0.08	3.24	161	86
Ronald Peña R 2018 · 4.19 FIP	26	SU	4.19	23.4%	11.6%	2.9%	.273	4.52	18.7%	7.1%	88	+0.33	3.72	187	85
Daniel Corcino R 2017 · 3.93 FIP	26	SU	3.93	21.7%	11.4%	2.2%	.292	4.91	19.0%	7.9%	223	+0.98	3.84	318	85
Carlos Fisher R 2009 · 3.90 FIP	26	SU	3.90	21.2%	12.8%	1.8%	.317	3.80	18.2%	8.1%	46	-0.10	2.48	245	85
Sam Gardner R 2023 · 4.04 FIP	26	SU	4.04	23.8%	15.1%	1.9%	.298	3.23	26.7%	16.4%	76	-0.81	2.28	121	85
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	85
Jose Rafael De Paula R 2017 · 4.46 FIP	26	SU	4.46	19.9%	9.8%	3.3%	.278	4.79	22.7%	10.3%	89	+0.33	2.64	315	84
Ryan Conroy R 2022 · 4.75 FIP	25	SU	4.75	19.3%	12.6%	3.1%	.361	—	—	—	—	—	4.01	106	84
Nolan Riggs R 2018 · 4.49 FIP	25	SU	4.49	20.7%	14.0%	2.5%	.300	—	—	—	—	—	2.36	132	83
Garrett Apker R 2024 · 4.01 FIP	24	SU	4.01	19.8%	11.2%	2.1%	.288	8.46	15.4%	-7.6%	11	+4.45	4.01	101	83
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	83
Nick Ernst R 2022 · 5.05 FIP	25	SU	5.05	21.9%	14.6%	3.5%	.275	—	—	—	—	—	3.56	117	83
Brett McKinney R 2017 · 4.66 FIP	26	SU	4.66	18.5%	9.9%	3.4%	.287	—	—	—	—	—	3.43	183	83
Josh Zeid R 2013 · 4.00 FIP	26	SU	4.00	20.3%	9.3%	2.6%	.287	4.75	16.2%	4.8%	183	+0.75	4.00	313	82
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	82
Spencer Stockton R 2022 · 4.18 FIP	26	SU	4.18	20.2%	10.3%	2.7%	.276	5.45	18.9%	6.4%	63	+1.27	1.93	233	82
Layne Somsen R 2015 · 3.74 FIP	26	SU	3.74	19.5%	12.5%	1.3%	.265	4.00	19.9%	6.7%	92	+0.26	3.66	154	82
Jarret Whorff R 2024 · 4.04 FIP	25	SU	4.04	18.9%	10.2%	2.3%	.271	4.52	19.6%	12.0%	123	+0.48	3.88	257	82
Kyle Martin R 2017 · 4.41 FIP	26	SU	4.41	18.3%	10.0%	2.9%	.304	3.22	23.0%	10.0%	51	-1.19	3.01	214	82

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	36	21.4%	12.0%	1.17	4.85
Fred Lasher ('63-'71, -1 WAR*)	1.0	50	21.5%*	11.9%*	1.05*	4.68*
Bill Wilson ('69-'73, -0 WAR*)	1.3	52	20.3%*	11.5%*	1.13*	4.84*
Valerio De Los Santos ('08)	1.3	51	18.7%	11.5%	1.30	4.57
Gene Harris ('89-'95, -1 WAR*)	1.2	40	20.0%*	12.5%*	0.98*	4.96*
John Hudek ('99)	1.0	40	23.0%	13.7%	1.30	4.43
Pedro Borbón ('03)	1.4	45	18.5%	11.1%	1.10	4.68