Moises Castillo

P ACL Reds

Age 22 RHP 6'0" / 157 lbs ROK peak 0.6 · 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	—	—	0	5.34	5.34	19.8%	15.2%	—
2028PROJ49% MLB	23	MLBCIN	4	4	22	5.10	5.01	20.9%	13.5%	0.1
2029PROJ70% MLB	24	MLBCIN	6	6	31	4.89	4.79	21.6%	12.4%	0.2

Next 3 projected WAR 0.3Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Scouting grades · 20-80

Stuff40Control30Command40

Career WAR0.0 WAR median (P10 -0.0 / P90 0.0, 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 the standard WAR scale.

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	—	—	0	—	—	—	—	—	—	19.8%	15.2%	4.6%	2.9%	5.34	5.34	—
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	23	MLB MLE	CIN	8	8	45	188	39	25	5	100%	5.6	20.9%	13.5%	7.4%	2.9%	5.10	5.01	+0.2
2029	24	MLB MLE	CIN	8	8	45	188	41	23	5	100%	5.6	21.6%	12.4%	9.2%	2.9%	4.89	4.79	+0.3
2030	25	MLB MLE	CIN	6	6	36	153	34	18	4	100%	6.0	22.1%	11.7%	10.4%	2.9%	4.74	4.66	+0.3
2031	26	MLB MLE	CIN	6	6	36	153	34	18	4	100%	6.0	22.3%	11.6%	10.7%	2.9%	4.67	4.63	+0.3
2032	27	MLB MLE	CIN	6	6	35	149	33	17	4	100%	5.9	22.3%	11.7%	10.6%	2.9%	4.67	4.67	+0.3
2028	23	MLB CTX	CIN	4	4	22	93	19	13	3	100%	5.5	20.9%	13.5%	7.4%	2.9%	5.10	5.01	+0.1
2029	24	MLB CTX	CIN	6	6	31	131	28	16	4	100%	5.2	21.6%	12.4%	9.2%	2.9%	4.89	4.79	+0.2
2030	25	MLB CTX	CIN	5	5	29	122	27	14	3	100%	5.8	22.1%	11.7%	10.4%	2.9%	4.74	4.66	+0.2
2031	26	MLB CTX	CIN	5	5	32	135	30	16	4	100%	6.4	22.3%	11.6%	10.7%	2.9%	4.67	4.63	+0.3
2032	27	MLB CTX	CIN	5	5	32	135	30	16	4	100%	6.4	22.3%	11.7%	10.6%	2.9%	4.67	4.67	+0.3
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		25	25	146	617	135	75	18	100%	5.8	21.9%	12.1%	9.8%	2.9%	4.80	4.36	+1.8
/ 200 IP	—	RAW		34	34	200	844	185	103	25	100%	5.8	21.9%	12.1%	9.8%	2.9%	4.80	4.36	+2.4
Career	—	MLE		33	20	104	452	86	61	8	61%	3.1	19.1%	13.6%	5.6%	1.9%	4.34	4.23	+1.5
/ 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	+1.5

How the minor-league lines were translated

One row per minor-league stint. Open a row to see each step: the raw rate, the park adjustment, the league/level factor, the age adjustment (hitters) and the resulting MLE rate. Factors are the same ones listed on the MLE Factors page.

2026 ROKACL Reds · 16 IPFIP 2.15 → 3.76 (+1.61)K% 36.2% → 24.6%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	36.25%	—	×0.680	24.65%
BB% (unintentional) /BF	11.25%	—	×1.250	14.06%
HR / BF /BF	1.25%	÷1.000	×1.400	1.75%

Factors used: pitcher ROK level factors — K ×0.68, BB ×1.25, HR ×1.40. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 100).

Result: FIP 2.15 → 3.76, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2025 ROKDSL Rojos · 51 IPFIP 2.87 → 4.16 (+1.28)K% 26.1% → 17.8%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	26.13%	—	×0.680	17.77%
BB% (unintentional) /BF	11.71%	—	×1.250	14.64%
HR / BF /BF	0.90%	÷0.987	×1.400	1.28%

Result: FIP 2.87 → 4.16, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2024 ROKDSL Rojos · 36 IPFIP 3.13 → 4.58 (+1.46)K% 26.7% → 18.1%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	26.67%	—	×0.680	18.13%
BB% (unintentional) /BF	9.33%	—	×1.250	11.67%
HR / BF /BF	2.00%	÷1.000	×1.400	2.80%

Result: FIP 3.13 → 4.58, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

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%	—	4.83	21.5%	8.9%	126	-0.51	—	—	—
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: 1,234 reliever careers (754 from 1990-2025 + 480 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	1.2	40	21.4%	12.8%	1.12	4.92
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
John Hudek ('99)	1.0	40	23.0%	13.7%	1.30	4.43
Bill Wilson ('69-'73, -0 WAR*)	1.3	52	20.3%*	11.5%*	1.13*	4.84*
Mike Holtz ('06)	1.2	34	20.4%	12.0%	0.94	4.76