Moises Castillo

P ACL Reds

Age 22 RHP 6'0" / 157 lbs ROK peak 0.7 · 2031

Overview

ROKPROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2025	20	ROKDSL Rojos	13	10	51	3.51	2.87	26.1%	11.7%	—	K 17.8% · BB 14.6% · FIP 4.16
2026	21	ROKCIN	9	1	16	9.56	1.98	36.2%	11.2%	—	K 24.6% · BB 14.1% · FIP 3.76
2027PROJ	22	MLBCIN	8	8	45	5.34	5.34	19.8%	15.2%	-0.2
2028PROJ49% MLB	23	MLBCIN	4	4	24	5.10	5.01	20.9%	13.5%	-0.0
2029PROJ70% MLB	24	MLBCIN	6	6	34	4.89	4.79	21.6%	12.4%	0.0

Next 3 projected WAR -0.2Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Scouting grades · 20-80

Stuff40Control30Command40

Career WAR0 WAR median (P10 -0 / P90 0, comp-based) · star 0% · didn't stick 98%

CompsBlane Abeyta (age 22) · Juan Mendez (age 22) · Zach Linginfelter (age 24)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 135126vR 118

ERA5.34

FIP5.34

K%19.8%

BB%15.2%

K-BB%4.6%

Proj IP45

Value2027 · WAR

Runs saved vs league avg · 45 IP

Grades · Contract

Scouting Grades

STUF4040

CTRL3030

CMD4040

K†4555

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)
2024	19	ROK MLE	DSL Rojos	11	9	36	150	40	14	3	82%	3.3	18.1%	11.7%	6.5%	2.8%	3.22	4.58	—
2024	19	ROK MLE	DSL Rojos	11	9	36	150	40	14	3	82%	3.3	18.1%	11.7%	6.5%	2.8%	3.22	4.58	—
2024	19	ROK RAW	DSL Rojos	11	9	36	150	40	14	3	82%	3.3	26.7%	9.3%	17.3%	2.0%	3.22	3.13	—
2025	20	ROK MLE	DSL Rojos	13	10	51	222	58	26	2	77%	3.9	17.8%	14.6%	3.1%	1.3%	3.51	4.16	—
2025	20	ROK MLE	DSL Rojos	13	10	51	222	58	26	2	77%	3.9	17.8%	14.6%	3.1%	1.3%	3.51	4.16	—
2025	20	ROK RAW	DSL Rojos	13	10	51	222	58	26	2	77%	3.9	26.1%	11.7%	14.4%	0.9%	3.51	2.87	—
2026	21	ROK MLE	ACL Reds	9	1	16	80	29	9	1	11%	1.8	24.6%	14.1%	10.6%	1.7%	9.56	3.76	—
2026	21	ROK MLE	ACL Reds	9	1	16	80	29	9	1	11%	1.8	24.6%	14.1%	10.6%	1.7%	9.56	3.76	—
2026	21	ROK RAW	ACL Reds	9	1	16	80	29	9	1	11%	1.8	36.2%	11.2%	25.0%	1.2%	9.56	1.98	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	22	MLB	CIN	8	8	45	190	38	29	6	100%	5.6	19.8%	15.2%	4.6%	2.9%	5.34	5.34	-0.2
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	23	MLB MLE	CIN	9	9	48	202	42	27	6	100%	5.3	20.9%	13.5%	7.4%	2.9%	5.10	5.01	-0.1
2029	24	MLB MLE	CIN	9	9	49	207	45	26	6	100%	5.5	21.6%	12.4%	9.2%	2.9%	4.89	4.79	+0.1
2030	25	MLB MLE	CIN	8	8	50	210	46	25	6	100%	6.2	22.1%	11.7%	10.4%	2.9%	4.74	4.66	+0.1
2031	26	MLB MLE	CIN	8	8	50	210	47	24	6	100%	6.2	22.3%	11.6%	10.7%	2.9%	4.67	4.63	+0.2
2032	27	MLB MLE	CIN	8	8	49	207	46	24	6	100%	6.1	22.3%	11.7%	10.6%	2.9%	4.67	4.67	+0.1
2028	23	MLB CTX	CIN	4	4	24	101	21	14	3	100%	6.0	20.9%	13.5%	7.4%	2.9%	5.10	5.01	-0.0
2029	24	MLB CTX	CIN	6	6	34	144	31	18	4	100%	5.7	21.6%	12.4%	9.2%	2.9%	4.89	4.79	+0.0
2030	25	MLB CTX	CIN	7	7	40	169	37	20	5	100%	5.7	22.1%	11.7%	10.4%	2.9%	4.74	4.66	+0.1
2031	26	MLB CTX	CIN	7	7	43	182	41	21	5	100%	6.1	22.3%	11.6%	10.7%	2.9%	4.67	4.63	+0.1
2032	27	MLB CTX	CIN	7	7	44	186	41	22	5	100%	6.3	22.3%	11.7%	10.6%	2.9%	4.67	4.67	+0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		32	32	186	785	172	94	23	100%	5.8	22.0%	12.0%	9.9%	2.9%	4.78	4.34	+1.2
/ 200 IP	—	RAW		34	34	200	844	185	101	25	100%	5.8	22.0%	12.0%	9.9%	2.9%	4.78	4.34	+1.3
Career	—	MLE		33	20	104	452	86	61	8	61%	3.1	19.1%	13.6%	5.6%	1.9%	4.34	4.23	+0.4
/ 200 IP	—	MLE		64	39	200	872	167	118	16	61%	3.1	19.1%	13.6%	5.6%	1.9%	4.34	4.23	+0.3

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
Moises Castillo (OGILVIE)	—	—	5.34	19.8%	15.2%	2.9%	—	4.82	21.5%	9.0%	147	-0.52	—	—	—
Blane Abeyta R 2021 · 4.66 FIP	22	SP-	4.66	21.1%	18.2%	1.9%	.283	4.78	15.6%	6.4%	343	+0.12	4.24	489	86
Juan Mendez R 2021 · 4.45 FIP	22	SW	4.45	20.5%	14.2%	2.3%	.271	5.07	21.9%	6.1%	128	+0.62	3.69	156	86
Zach Linginfelter R 2021 · 5.53 FIP	24	SP-	5.53	19.1%	16.0%	3.7%	.295	5.01	18.8%	-0.6%	46	-0.52	3.62	109	86
Jake Lyons R 2021 · 4.46 FIP	22	SP-	4.46	21.8%	13.9%	2.6%	.325	4.64	19.4%	9.2%	105	+0.18	4.13	174	85
Wilian Bormie R 2023 · 5.84 FIP	22	SP-	5.84	21.6%	20.4%	3.6%	.275	4.13	23.2%	9.3%	203	-1.71	3.51	226	84
Radhames Liz R 2007 · 5.07 FIP	23	SW	5.07	19.7%	18.0%	2.5%	.301	5.66	14.5%	2.3%	84	+0.59	2.81	219	84
James McArthur R 2019 · 5.04 FIP	22	SP-	5.04	18.8%	15.5%	2.9%	.304	4.41	20.0%	10.7%	131	-0.63	3.48	352	83
Ray Gaither R 2022 · 4.85 FIP	24	SP-	4.85	21.9%	13.2%	3.5%	.314	4.34	18.3%	5.8%	123	-0.51	3.84	164	83
Noah Skirrow R 2021 · 4.55 FIP	23	SP-	4.55	18.4%	11.5%	2.8%	.306	4.71	16.1%	6.1%	316	+0.16	3.97	371	83
Jhoster Baez R 2024 · 4.57 FIP	19	SP-	4.57	17.3%	14.8%	1.9%	.283	5.93	15.9%	-5.0%	73	+1.36	4.57	110	83
Alex Vallecillo R 2023 · 4.75 FIP	21	SP-	4.75	18.6%	16.3%	2.1%	.277	—	—	—	—	—	4.51	152	82
Wills Montgomerie R 2018 · 5.10 FIP	23	SP-	5.10	19.3%	19.1%	2.2%	.275	4.51	20.1%	6.0%	105	-0.59	4.51	153	82
Seth McClung R 2003 · 5.63 FIP	22	SW	5.63	15.0%	14.4%	3.6%	.241	5.29	15.3%	2.8%	212	-0.34	2.52	430	82
Nick Garcia R 2021 · 4.59 FIP	22	SP-	4.59	18.3%	12.3%	2.7%	.274	5.03	17.3%	6.2%	265	+0.44	3.20	411	81
Cade Winquest R 2023 · 4.37 FIP	23	SP-	4.37	17.9%	12.0%	2.3%	.299	3.71	21.6%	11.0%	188	-0.66	3.16	266	81
Carlton Perkins R 2024 · 4.16 FIP	21	SW	4.16	18.6%	15.7%	1.2%	.356	4.88	18.2%	0.2%	66	+0.72	3.61	124	81
Trent Fennell R 2018 · 4.48 FIP	22	SP-	4.48	14.5%	12.5%	1.9%	.317	4.46	20.9%	7.5%	89	-0.02	4.08	163	81
Anyelo Gómez R 2016 · 4.66 FIP	23	SW	4.66	17.1%	12.2%	2.7%	.292	2.66	24.2%	15.6%	68	-2.00	2.66	145	81
Ryan Long R 2022 · 4.33 FIP	22	SW	4.33	17.1%	11.6%	2.2%	.263	4.69	16.6%	7.3%	292	+0.36	4.20	433	81
Jeisson Cabrera R 2019 · 4.42 FIP	20	SP-	4.42	21.3%	15.5%	2.1%	.227	—	—	—	—	—	3.78	244	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	1.4	48	21.5%	12.6%	1.11	4.89
Gene Harris ('89-'95, -1 WAR*)	1.2	40	20.0%*	12.5%*	0.98*	4.96*
Fred Lasher ('63-'71, -1 WAR*)	1.0	50	21.5%*	11.9%*	1.05*	4.68*
David Aardsma ('15)	1.7	48	23.1%	12.4%	1.09	4.27
Bill Wilson ('69-'73, -0 WAR*)	1.3	52	20.3%*	11.5%*	1.13*	4.84*
Tyler Yates ('09)	1.2	62	19.7%	12.0%	0.94	5.12
Yorkis Perez ('02)	1.4	40	20.8%	11.8%	0.93	4.44