Diego Castillo

P Albuquerque Isotopes

Age 33 RHP 6'3" / 268 lbs AAA peak 0.1 · 2027

Overview

AAARP

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2023	29	MIX2 levels	51	1	56	5.30	4.83	21.3%	15.0%	-0.2	K 19.0% · BB 13.1% · FIP 4.31
2024	30	MIX2 levels	47	0	47	4.98	4.14	21.9%	14.2%	0.2	K 20.5% · BB 11.8% · FIP 4.18
2025	31	AAACOL	20	0	21	5.06	5.07	24.2%	12.6%	—	K 20.8% · BB 11.4% · FIP 5.28
2026	32	No MLB games played
2027PROJ	33	MLBCOL	5	0	5	4.32	4.41	23.9%	9.8%	0.0
2028PROJ6% MLB	34	MLBCOL	2	0	2	4.56	4.72	23.0%	10.2%	-0.0
2029PROJMLE	35	MLBCOL	—	—	0	4.86	5.05	22.0%	10.8%	—

Last 3 seasons WAR 0.0 · Next 3 projected WAR 0.0Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Scouting grades · 20-80

Stuff58Control45Command57FB velo56

CompsTony Barnette (age 33) · Jose Manuel Lopez (age 32) · Jim Henderson (age 33)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 117109vR 101

ERA4.32

FIP4.41

K%23.9%

BB%9.8%

K-BB%14.1%

Proj IP54

Value2027 · WAR

Runs saved vs league avg · 54 IP

Grades · Contract

Scouting Grades

STUF6060

CTRL4545

CMD5555

K†5555

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)
2015	21	A MLE	Bowling Green Hot Rods	5	0	9	41	4	4	0	0%	1.9	9.8%	9.8%	0.0%	0.0%	4.82	3.51	—
2015	21	A RAW	Bowling Green Hot Rods	5	0	9	41	4	4	0	0%	1.9	9.8%	9.8%	0.0%	0.0%	4.82	3.53	—
2016	22	MIX MLE	2 levels	38	0	60	265	67	16	4	0%	1.6	18.9%	7.1%	11.8%	1.7%	2.98	3.34	—
2016	22	MIX RAW	2 levels	38	0	60	265	67	16	4	0%	1.6	25.3%	6.0%	19.2%	1.5%	2.98	2.54	—
2017	23	MIX MLE	2 levels	51	1	72	294	90	19	3	2%	1.4	26.2%	6.9%	19.3%	1.1%	2.76	2.38	—
2017	23	MIX RAW	2 levels	51	1	72	294	90	19	3	2%	1.4	30.6%	6.5%	24.1%	1.0%	2.76	1.93	—
2018	24	MIX MLE	2 levels	62	11	83	319	97	25	7	18%	1.3	29.2%	7.9%	21.3%	2.3%	2.49	2.90	+1.6
2018	24	MIX RAW	2 levels	62	11	83	319	97	25	7	18%	1.3	30.4%	7.8%	22.6%	2.2%	2.49	2.76	+1.8
2019	25	MIX MLE	2 levels	66	6	70	294	82	23	8	9%	1.1	27.9%	7.6%	20.3%	2.8%	3.36	3.26	+1.1
2019	25	MIX RAW	2 levels	66	6	70	294	82	23	8	9%	1.1	27.9%	7.8%	20.1%	2.7%	3.36	3.23	+1.1
2020	26	MLB MLE	Tampa Bay Rays	22	0	22	89	23	11	3	0%	1.0	25.8%	12.4%	13.5%	3.5%	1.66	4.39	+0.0
2020	26	MLB RAW	Tampa Bay Rays	22	0	22	89	23	11	3	0%	1.0	25.8%	12.4%	13.5%	3.4%	1.66	4.30	+0.1
2021	27	MIX MLE	2 levels	62	0	59	236	77	15	9	0%	1.0	32.2%	6.4%	25.8%	4.0%	2.73	3.37	+0.8
2021	27	MIX RAW	2 levels	62	0	59	236	77	15	9	0%	1.0	32.6%	6.4%	26.3%	3.8%	2.73	3.23	+0.9
2022	28	MIX MLE	2 levels	60	0	55	229	54	19	5	0%	0.9	23.9%	8.1%	15.8%	2.3%	4.42	3.38	+0.8
2022	28	MIX RAW	2 levels	60	0	55	229	54	19	5	0%	0.9	23.6%	8.3%	15.3%	2.2%	4.42	3.35	+0.8
2023	29	MIX MLE	2 levels	51	1	56	267	57	40	7	2%	1.1	19.0%	13.1%	5.9%	2.1%	5.30	4.31	+0.2
2023	29	MIX RAW	2 levels	51	1	56	267	57	40	7	2%	1.1	21.3%	15.0%	6.4%	2.6%	5.30	4.83	-0.2
2024	30	MIX MLE	2 levels	47	0	47	219	48	31	4	0%	1.0	20.5%	11.8%	8.8%	2.4%	4.98	4.18	+0.2
2024	30	MIX MLE	2 levels	47	0	47	219	48	31	4	0%	1.0	20.5%	11.8%	8.8%	2.4%	4.98	4.18	+0.2
2024	30	MIX RAW	2 levels	47	0	47	219	48	31	4	0%	1.0	21.9%	14.2%	7.8%	1.8%	4.98	4.14	+0.2
2025	31	AAA MLE	Albuquerque Isotopes	20	0	21	95	23	12	4	0%	1.1	20.8%	11.4%	9.5%	4.6%	5.06	5.28	—
2025	31	AAA MLE	Albuquerque Isotopes	20	0	21	95	23	12	4	0%	1.1	20.8%	11.4%	9.5%	4.6%	5.06	5.28	—
2025	31	AAA RAW	Albuquerque Isotopes	20	0	21	95	23	12	4	0%	1.1	24.2%	12.6%	11.6%	4.2%	5.06	5.07	—
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			265	17	278	1140	310	99	33	6%	1.1	27.2%	8.7%	18.5%	2.9%	3.20	3.48	+3.5
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	33	MLB	COL	5	0	5	21	5	2	1	0%	1.0	23.9%	9.8%	14.1%	3.1%	4.32	4.41	+0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	34	MLB MLE	COL	39	0	41	173	40	18	6	0%	1.1	23.0%	10.2%	12.7%	3.4%	4.56	4.72	-0.1
2029	35	MLB MLE	COL	30	0	32	134	29	14	5	0%	1.1	22.0%	10.8%	11.2%	3.8%	4.86	5.05	-0.2
2028	34	MLB CTX	COL	2	0	2	8	2	1	0	0%	1.0	23.0%	10.2%	12.7%	3.4%	4.56	4.72	-0.0
2029	35	MLB CTX	COL	—	—	0	—	—	—	—	—	—	22.0%	10.8%	11.2%	3.8%	4.86	5.05	—
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		267	17	281	1151	312	100	33	6%	1.1	27.2%	8.7%	18.5%	2.9%	3.21	3.50	+3.5
/ 200 IP	—	RAW		190	12	200	819	222	71	23	6%	1.1	27.2%	8.7%	18.5%	2.9%	3.21	3.50	+2.5
Career	—	MLE		484	19	554	2348	575	207	56	4%	1.1	24.5%	8.8%	15.7%	2.4%	3.51	3.47	+3.3
/ 200 IP	—	MLE		175	7	200	847	208	75	20	4%	1.1	24.5%	8.8%	15.7%	2.4%	3.51	3.47	+1.9

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.

2025 AAAAlbuquerque Isotopes · 21 IPFIP 4.97 → 5.28 (+0.32)K% 24.2% → 20.8%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	24.21%	—	×0.860	20.82%
BB% (unintentional) /BF	12.63%	—	×0.900	11.37%
HR / BF /BF	4.21%	÷1.017	×1.100	4.56%

Factors used: pitcher AAA level factors (Triple-A 2023+ robo-zone set: walks improve on promotion) — K ×0.86, BB ×0.90, HR ×1.10. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 103).

Result: FIP 4.97 → 5.28, 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 AAASt. Paul Saints · 37 IPFIP 3.99 → 4.18 (+0.19)K% 23.9% → 20.5%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	23.86%	—	×0.860	20.52%
BB% (unintentional) /BF	13.07%	—	×0.900	11.76%
HR / BF /BF	2.27%	÷1.039	×1.100	2.41%

Result: FIP 3.99 → 4.18, 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).

2023 AAATacoma Rainiers · 47 IPFIP 4.30 → 4.31 (+0.02)K% 22.1% → 19.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	22.12%	—	×0.860	19.03%
BB% (unintentional) /BF	14.60%	—	×0.900	13.14%
HR / BF /BF	2.21%	÷1.157	×1.100	2.10%

Result: FIP 4.30 → 4.31, 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).

2018 AAADurham Bulls · 26 IPFIP 1.79 → 2.25 (+0.46)K% 33.0% → 29.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	32.99%	—	×0.880	29.03%
BB% (unintentional) /BF	7.22%	—	×1.050	7.58%
HR / BF /BF	1.03%	÷0.970	×1.100	1.17%

Factors used: pitcher AAA level factors — K ×0.88, BB ×1.05, HR ×1.10. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 94).

Result: FIP 1.79 → 2.25, 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).

2017 AAADurham Bulls · 43 IPFIP 1.89 → 2.30 (+0.41)K% 32.6% → 28.7%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	32.58%	—	×0.880	28.67%
BB% (unintentional) /BF	7.30%	—	×1.050	7.67%
HR / BF /BF	1.12%	÷1.049	×1.100	1.18%

Result: FIP 1.89 → 2.30, 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).

2017 AAMontgomery Biscuits · 29 IPFIP 1.90 → 2.50 (+0.60)K% 27.6% → 22.3%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	27.59%	—	×0.810	22.34%
BB% (unintentional) /BF	5.17%	—	×1.100	5.69%
HR / BF /BF	0.86%	÷1.008	×1.200	1.03%

Factors used: pitcher AA level factors — K ×0.81, BB ×1.10, HR ×1.20. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 102).

Result: FIP 1.90 → 2.50, 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).

2016 ABowling Green Hot Rods · 40 IPFIP 1.67 → 2.54 (+0.88)K% 29.8% → 22.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	29.76%	—	×0.740	22.02%
BB% (unintentional) /BF	5.95%	—	×1.180	7.02%
HR / BF /BF	0.60%	÷1.028	×1.300	0.75%

Factors used: pitcher A level factors — K ×0.74, BB ×1.18, HR ×1.30. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 106).

Result: FIP 1.67 → 2.54, 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).

2016 A+Charlotte Stone Crabs · 20 IPFIP 4.10 → 4.72 (+0.62)K% 17.5% → 13.5%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	17.53%	—	×0.770	13.49%
BB% (unintentional) /BF	6.19%	—	×1.150	7.11%
HR / BF /BF	3.09%	÷1.142	×1.250	3.39%

Factors used: pitcher A+ level factors — K ×0.77, BB ×1.15, HR ×1.25. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 128).

Result: FIP 4.10 → 4.72, 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
Diego Castillo (OGILVIE)	—	—	4.41	23.9%	9.8%	3.1%	—	4.86	22.6%	12.1%	73	+0.45	—	—	—
Tony Barnette R 2017 · 3.56 FIP	33	SU	3.56	22.6%	7.1%	2.7%	.335	2.61	25.0%	20.2%	26	-0.95	2.61	144	79
Jose Manuel Lopez R 2017 · 3.61 FIP	32	SU	3.61	20.4%	10.0%	1.8%	.331	6.14	17.9%	3.7%	41	+2.53	3.50	170	79
Jim Henderson R 2016 · 4.55 FIP	33	SU	4.55	25.8%	9.0%	4.5%	.287	—	—	—	—	—	1.86	167	78
Arcenio Leon R 2019 · 3.61 FIP	32	SU	3.61	21.4%	8.1%	2.4%	.314	—	—	—	—	—	3.00	115	78
Jon Edwards R 2019 · 4.43 FIP	31	SU	4.43	25.1%	11.6%	3.6%	.290	—	—	—	—	—	2.40	132	76
Zack Segovia R 2016 · 3.33 FIP	33	SU	3.33	20.2%	5.9%	2.2%	.312	4.55	17.6%	4.0%	57	+1.22	3.33	144	75
Mark Serrano R 2019 · 5.25 FIP	33	SU	5.25	20.2%	7.9%	5.2%	.289	—	—	—	—	—	3.16	120	75
Huascar Brazobán R 2023 · 3.52 FIP	33	SU	3.52	25.3%	11.3%	2.1%	.304	3.54	21.9%	11.8%	195	+0.02	3.08	370	73
Keiichi Yabu R 2005 · 4.05 FIP	36	SU	4.05	16.8%	8.8%	2.3%	.307	3.48	15.9%	6.6%	68	-0.57	3.48	126	73
Adrian Ramirez R 2019 · 4.29 FIP	31	SU	4.29	21.7%	6.3%	4.0%	.327	—	—	—	—	—	3.04	137	72
Hirokazu Sawamura R 2021 · 4.48 FIP	33	SU	4.48	26.2%	11.2%	4.0%	.263	4.02	18.1%	6.8%	51	-0.46	4.02	104	72
Jumbo Diaz R 2017 · 4.17 FIP	33	SU	4.17	20.0%	9.7%	2.8%	.302	2.90	24.2%	15.4%	98	-1.27	2.80	319	71
Tommy Nance R 2024 · 3.51 FIP	33	SU	3.51	20.2%	5.8%	2.5%	.327	2.84	26.3%	19.5%	123	-0.67	2.08	360	70
Felipe Arredondo R 2019 · 4.65 FIP	32	SU	4.65	16.2%	7.1%	3.7%	.272	—	—	—	—	—	3.92	337	70
Juan Sandoval R 2015 · 3.82 FIP	34	SU	3.82	15.4%	6.0%	2.3%	.294	3.33	17.4%	8.8%	116	-0.49	3.24	225	69
Jean Machi R 2015 · 4.56 FIP	33	SU	4.56	16.3%	8.6%	3.2%	.276	4.24	18.5%	11.9%	128	-0.32	2.16	306	69
Ryan Brasier R 2021 · 4.85 FIP	33	SU	4.85	18.0%	8.0%	4.1%	.286	3.16	23.7%	17.9%	150	-1.69	2.31	426	69
Leo Rosales R 2015 · 3.99 FIP	34	SU	3.99	18.1%	10.8%	1.9%	.261	4.24	7.8%	-0.4%	22	+0.25	3.85	130	69
Jake Sanchez R 2023 · 4.70 FIP	33	SU	4.70	20.3%	10.6%	3.6%	.317	—	—	—	—	—	1.86	361	69
Fernando Rodriguez Jr. R 2016 · 3.61 FIP	32	SU	3.61	22.7%	10.4%	2.0%	.255	4.41	24.1%	13.8%	97	+0.80	3.34	335	68

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	2.0	51	25.9%	9.8%	1.18	3.62
Ryan Tepera ('23)	1.8	52	24.3%	8.8%	1.13	3.62
Mychal Givens ('23)	2.3	58	28.2%	10.0%	1.05	3.47
Al Reyes ('08)	2.1	54	23.2%	10.7%	1.11	3.84
Alberto Reyes ('95-'08, 5 WAR*)	2.1	54	27.1%*	10.2%*	1.18*	3.66*
Rob Murphy ('85-'95, 6 WAR*)	3.1	69	25.2%*	9.2%*	1.07*	3.94*
Mike Schooler ('88-'93, 5 WAR*)	1.5	49	26.9%*	8.0%*	0.96*	3.68*