Harold Chirino

P El Paso Chihuahuas

Age 29 RHP 6'2" / 173 lbs AAA

Overview

AAAPROSPECT

ETA2029MLB%10%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2023	25	AAMIL	11	0	14	0.00	0.60	45.8%	6.2%	—	K 45.8% · BB 6.2% · FIP 0.02
2024	26	MIX2 levels	37	0	45	4.76	5.11	22.0%	14.7%	—	K 15.9% · BB 15.1% · FIP 5.20
2025	27	AAASD	40	0	46	5.91	3.60	18.7%	12.0%	—	K 16.1% · BB 10.8% · FIP 3.66
2026	28	No MLB games played
2027PROJ	29	MLBSD	6	0	6	5.28	5.28	15.5%	13.1%	-0.0
2028PROJ37% MLB	30	MLBSD	14	0	15	5.29	5.36	15.9%	13.0%	-0.1
2029PROJ55% MLB	31	MLBSD	17	0	18	5.38	5.48	16.1%	13.1%	-0.2

Next 3 projected WAR -0.4Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Scouting grades · 20-80

Stuff40Control40Command35

CompsWirfin Obispo (age 30) · Beck Wheeler (age 28) · Gregory Infante (age 29)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 133125vR 117

ERA5.28

FIP5.28

K%15.5%

BB%13.1%

K-BB%2.4%

Proj IP58

Value2027 · WAR

Runs saved vs league avg · 58 IP

Grades · Contract

Scouting Grades

STUF4040

CTRL4040

CMD3535

K†3040

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)
2016	18	ROK MLE	DSL Brewers	11	11	58	244	40	14	1	100%	5.2	11.1%	7.2%	4.0%	0.6%	3.12	3.38	—
2016	18	ROK RAW	DSL Brewers	11	11	58	244	40	14	1	100%	5.2	16.4%	5.7%	10.7%	0.4%	3.12	2.67	—
2017	19	ROK MLE	Helena Brewers	16	11	47	226	44	29	6	69%	2.9	13.2%	16.0%	-2.8%	3.7%	6.94	6.05	—
2017	19	ROK RAW	Helena Brewers	16	11	47	226	44	29	6	69%	2.9	19.5%	12.8%	6.6%	2.7%	6.94	4.75	—
2019	21	ROK MLE	AZL Brewers Blue	19	0	34	147	41	15	0	0%	1.8	19.0%	12.8%	6.2%	0.0%	3.74	3.11	—
2019	21	ROK RAW	AZL Brewers Blue	19	0	34	147	41	15	0	0%	1.8	27.9%	10.2%	17.7%	0.0%	3.74	2.00	—
2021	23	A+ MLE	Wisconsin Timber Rattlers	35	0	51	235	75	23	9	0%	1.5	24.6%	11.3%	13.3%	4.1%	3.88	4.73	—
2021	23	A+ RAW	Wisconsin Timber Rattlers	35	0	51	235	75	23	9	0%	1.5	31.9%	9.8%	22.1%	3.8%	3.88	3.81	—
2022	24	AA MLE	Biloxi Shuckers	44	0	52	230	50	23	4	0%	1.2	17.6%	11.0%	6.6%	2.1%	3.29	4.14	—
2022	24	AA RAW	Biloxi Shuckers	44	0	52	230	50	23	4	0%	1.2	21.7%	10.0%	11.7%	1.7%	3.29	3.50	—
2023	25	AA MLE	Biloxi Shuckers	11	0	14	48	22	3	0	0%	1.3	45.8%	6.2%	39.6%	0.0%	0.00	0.02	—
2023	25	AA RAW	Biloxi Shuckers	11	0	14	48	22	3	0	0%	1.3	45.8%	6.2%	39.6%	0.0%	0.00	0.60	—
2024	26	MIX MLE	2 levels	37	0	45	218	48	32	7	0%	1.2	15.9%	15.1%	0.8%	2.8%	4.76	5.20	—
2024	26	MIX MLE	2 levels	37	0	45	218	48	32	7	0%	1.2	15.9%	15.1%	0.8%	2.8%	4.76	5.20	—
2024	26	MIX RAW	2 levels	37	0	45	218	48	32	7	0%	1.2	22.0%	14.7%	7.3%	3.2%	4.76	5.11	—
2025	27	AAA MLE	El Paso Chihuahuas	40	0	46	225	42	27	2	0%	1.1	16.1%	10.8%	5.3%	1.0%	5.91	3.66	—
2025	27	AAA MLE	El Paso Chihuahuas	40	0	46	225	42	27	2	0%	1.1	16.1%	10.8%	5.3%	1.0%	5.91	3.66	—
2025	27	AAA RAW	El Paso Chihuahuas	40	0	46	225	42	27	2	0%	1.1	18.7%	12.0%	6.7%	0.9%	5.91	3.60	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	29	MLB	SD	6	0	6	25	4	3	1	0%	1.0	15.5%	13.1%	2.4%	2.6%	5.28	5.28	-0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	30	MLB MLE	SD	38	0	40	169	27	22	5	0%	1.1	15.9%	13.0%	2.9%	2.9%	5.29	5.36	-0.4
2029	31	MLB MLE	SD	30	0	32	135	22	18	4	0%	1.1	16.1%	13.1%	3.0%	3.1%	5.38	5.48	-0.3
2028	30	MLB CTX	SD	14	0	15	63	10	8	2	0%	1.1	15.9%	13.0%	2.9%	2.9%	5.29	5.36	-0.1
2029	31	MLB CTX	SD	17	0	18	76	12	10	2	0%	1.1	16.1%	13.1%	3.0%	3.1%	5.38	5.48	-0.2
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		31	0	32	137	22	18	4	0%	1.0	16.0%	13.0%	3.0%	3.0%	5.34	5.05	-0.2
/ 200 IP	—	RAW		190	0	200	844	136	111	25	0%	1.1	16.0%	13.0%	3.0%	3.0%	5.34	5.05	-1.2
Career	—	MLE		213	22	346	1573	276	184	33	10%	1.6	17.5%	11.7%	5.8%	2.1%	4.29	4.24	-0.7
/ 200 IP	—	MLE		123	13	200	909	160	107	19	10%	1.6	17.5%	11.7%	5.8%	2.1%	4.29	4.24	-2.0

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 AAAEl Paso Chihuahuas · 46 IPFIP 3.53 → 3.66 (+0.13)K% 18.7% → 16.1%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	18.67%	—	×0.860	16.05%
BB% (unintentional) /BF	12.00%	—	×0.900	10.80%
HR / BF /BF	0.89%	÷0.981	×1.100	1.00%

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 96).

Result: FIP 3.53 → 3.66, 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 AAANashville Sounds · 35 IPFIP 4.93 → 5.20 (+0.27)K% 18.5% → 15.9%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	18.50%	—	×0.860	15.91%
BB% (unintentional) /BF	16.76%	—	×0.900	15.09%
HR / BF /BF	2.31%	÷0.909	×1.100	2.80%

Result: FIP 4.93 → 5.20, 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 AABiloxi Shuckers · 11 IPFIP 4.60 → 5.26 (+0.66)K% 35.6% → 28.8%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	35.56%	—	×0.810	28.80%
BB% (unintentional) /BF	6.67%	—	×1.100	7.33%
HR / BF /BF	6.67%	÷1.198	×1.200	6.68%

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 140).

Result: FIP 4.60 → 5.26, 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 AABiloxi Shuckers · 14 IPFIP 0.02 → 0.84 (+0.81)K% 45.8% → 37.1%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	45.83%	—	×0.810	37.12%
BB% (unintentional) /BF	6.25%	—	×1.100	6.88%
HR / BF /BF	0.00%	÷1.055	×1.200	0.00%

Result: FIP 0.02 → 0.84, 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).

2022 AABiloxi Shuckers · 52 IPFIP 3.49 → 4.14 (+0.65)K% 21.7% → 17.6%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	21.74%	—	×0.810	17.61%
BB% (unintentional) /BF	10.00%	—	×1.100	11.00%
HR / BF /BF	1.74%	÷1.012	×1.200	2.06%

Result: FIP 3.49 → 4.14, 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).

2021 A+Wisconsin Timber Rattlers · 51 IPFIP 3.75 → 4.73 (+0.98)K% 31.9% → 24.6%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	31.91%	—	×0.770	24.57%
BB% (unintentional) /BF	9.79%	—	×1.150	11.26%
HR / BF /BF	3.83%	÷1.155	×1.250	4.15%

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 131).

Result: FIP 3.75 → 4.73, 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).

2019 ROKAZL Brewers Blue · 34 IPFIP 2.04 → 3.11 (+1.08)K% 27.9% → 19.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	27.89%	—	×0.680	18.97%
BB% (unintentional) /BF	10.20%	—	×1.250	12.76%
HR / BF /BF	0.00%	÷1.000	×1.400	0.00%

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 2.04 → 3.11, 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 ROKHelena Brewers · 47 IPFIP 4.54 → 6.05 (+1.52)K% 19.5% → 13.2%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	19.47%	—	×0.680	13.24%
BB% (unintentional) /BF	12.83%	—	×1.250	16.04%
HR / BF /BF	2.65%	÷1.000	×1.400	3.72%

Result: FIP 4.54 → 6.05, 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
Harold Chirino (OGILVIE)	—	—	5.28	15.5%	13.1%	2.6%	—	5.41	16.0%	3.0%	72	+0.13	—	—	—
Wirfin Obispo R 2015 · 4.80 FIP	30	SU	4.80	18.6%	12.2%	3.1%	.292	1.31	28.6%	24.5%	126	-3.49	1.30	218	83
Beck Wheeler R 2017 · 5.40 FIP	28	SU	5.40	15.3%	12.2%	3.7%	.347	—	—	—	—	—	3.46	173	83
Gregory Infante R 2016 · 4.47 FIP	29	SU	4.47	19.0%	12.3%	2.6%	.333	3.43	22.5%	15.8%	120	-1.04	2.97	230	82
Thad Weber R 2013 · 5.18 FIP	28	SU	5.18	16.4%	13.1%	3.3%	.244	4.52	12.2%	6.0%	308	-0.66	4.40	378	82
Willie Eyre R 2007 · 4.53 FIP	29	SU	4.53	13.7%	9.1%	2.6%	.306	2.87	11.1%	5.5%	18	-1.66	2.87	164	81
Wil Browning R 2017 · 4.44 FIP	28	SU	4.44	17.9%	13.1%	2.2%	.359	—	—	—	—	—	2.14	162	81
Grant Black R 2023 · 5.49 FIP	29	SU	5.49	15.9%	11.3%	4.2%	.352	—	—	—	—	—	4.46	215	80
Benjamin Sandoval R 2016 · 5.13 FIP	29	SU	5.13	6.7%	11.3%	2.1%	.292	5.51	9.0%	-4.4%	49	+0.38	4.66	146	80
Eder Llamas R 2015 · 4.84 FIP	29	SU	4.84	12.3%	8.8%	3.0%	.261	3.64	11.3%	4.6%	120	-1.20	3.23	171	79
Kyle McMyne R 2017 · 4.84 FIP	27	SU	4.84	12.5%	12.8%	2.1%	.330	—	—	—	—	—	3.93	181	79
Fernando Villalobos R 2015 · 5.33 FIP	30	SU	5.33	8.3%	13.1%	2.3%	.365	4.36	11.4%	3.1%	109	-0.97	4.00	152	79
Jim Miller R 2012 · 4.56 FIP	30	SU	4.56	20.9%	11.8%	3.1%	.243	3.95	18.8%	14.7%	74	-0.61	3.95	140	78
Angel Castro R 2015 · 4.50 FIP	32	SU	4.50	15.9%	8.0%	3.1%	.268	4.28	13.6%	5.5%	231	-0.22	3.51	292	78
Santiago Casilla R 2009 · 4.44 FIP	29	SU	4.44	15.0%	9.4%	2.6%	.324	3.29	22.1%	13.0%	170	-1.15	2.76	647	78
Chris Jefferson R 2024 · 5.65 FIP	27	SU	5.65	16.4%	13.6%	4.0%	.308	—	—	—	—	—	3.53	140	78
Mike Adams R 2022 · 5.36 FIP	27	SU	5.36	17.1%	11.2%	4.2%	.326	—	—	—	—	—	3.65	109	78
Brian Bass R 2009 · 4.70 FIP	27	SU	4.70	13.5%	9.8%	2.8%	.321	—	—	—	—	—	4.70	176	77
Alex Caldera R 2015 · 5.57 FIP	29	SW	5.57	10.4%	13.1%	3.1%	.333	4.54	11.9%	0.8%	84	-1.03	4.54	120	77
Brandon Cunniff R 2017 · 4.79 FIP	28	SU	4.79	20.1%	11.6%	3.5%	.275	6.80	13.9%	-1.9%	30	+2.01	3.89	180	76
Ronald Peña R 2021 · 4.49 FIP	29	SU	4.49	16.5%	10.4%	2.7%	.288	—	—	—	—	—	3.72	187	76

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	0.7	43	15.8%	13.1%	1.09	5.31
Matt Anderson ('05)	1.3	51	19.3%	13.5%	1.05	5.19
Tyler Yates ('09)	1.2	62	19.7%	12.0%	0.94	5.12
Gene Harris ('89-'95, -1 WAR*)	1.2	40	20.0%*	12.5%*	0.98*	4.96*
Mike Mohler ('01)	2.1	60	15.0%	12.4%	0.97	4.99
Bill Wilson ('69-'73, -0 WAR*)	1.3	52	20.3%*	11.5%*	1.13*	4.84*
Daryl Patterson ('68-'74, -1 WAR*)	1.2	46	18.3%*	11.2%*	1.27*	5.03*