Huascar Brazobán

P Chicago White Sox

Age 37 RHP 6'3" / 155 lbs MLB peak 0.2 · 2027

Overview

MLBRP40-MAN

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	34	MIX2 levels	45	0	62	4.19	3.32	23.0%	10.6%	0.9	K 23.5% · BB 11.5% · FIP 3.08
2025	35	MIX2 levels	62	3	77	3.99	3.71	22.3%	9.0%	0.8	K 21.6% · BB 8.9% · FIP 3.74
2026	36	MIX2 levels	65	6	72	2.99	3.71	20.5%	9.7%	0.7	K 21.0% · BB 10.5% · FIP 3.67
2027PROJ	37	MLBCWS	45	0	47	4.00	4.17	22.8%	10.4%	0.2
2028PROJ86% MLB	38	MLBCWS	17	0	18	4.36	4.60	21.7%	11.1%	-0.0
2029PROJ72% MLB	39	MLBCWS	6	0	6	4.76	5.03	20.5%	11.8%	-0.0

Last 3 seasons WAR 2.4 · Next 3 projected WAR 0.2Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Skills · percentileStatcast 2026

FB Velo82

xwOBA vs74

K%42

Form4.11 ERA (proj 4.00) · K 14.1% (proj 22.8%) · BB 10.9% (proj 10.4%) ▼▼ last 90d · 15 IP through Oct 27

CompsKeiichi Yabu (age 36) · Juan Sandoval (age 36) · Matt Bush (age 37)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 10596vR 88

ERA4.00

FIP4.17

K%22.8%

BB%10.4%

K-BB%12.4%

Proj IP47

Value2027 · WAR

Runs saved vs league avg · 47 IP

Grades · Statcast · Contract

Scouting Grades

STUF5050

CTRL4040

CMD4545

K†5555

Statcast Percentiles

FB Velo

p8296.8

Whiff%

p5225.6%

p4221.0%

xwOBA vs

p740.289

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)
2017	27	MIX MLE	2 levels	37	0	39	178	32	20	1	0%	1.1	14.2%	12.6%	1.6%	0.4%	5.77	3.74	—
2017	27	MIX RAW	2 levels	37	0	39	178	32	20	1	0%	1.1	18.0%	11.2%	6.7%	0.6%	5.77	3.33	—
2022	32	MIX MLE	2 levels	54	0	77	322	99	36	9	0%	1.4	28.5%	11.4%	17.1%	3.0%	3.14	3.77	+0.7
2022	32	MIX RAW	2 levels	54	0	77	322	99	36	9	0%	1.4	30.7%	11.2%	19.6%	2.8%	3.14	3.45	+1.0
2023	33	MIX MLE	2 levels	52	0	61	270	68	30	5	0%	1.2	25.3%	11.3%	14.0%	2.0%	4.40	3.52	+0.8
2023	33	MIX RAW	2 levels	52	0	61	270	68	30	5	0%	1.2	25.2%	11.1%	14.1%	1.9%	4.40	3.41	+0.8
2024	34	MIX MLE	2 levels	45	0	62	265	61	28	4	0%	1.4	23.5%	11.5%	12.0%	0.9%	4.19	3.08	+1.1
2024	34	MIX MLE	2 levels	45	0	62	265	61	28	4	0%	1.4	23.5%	11.5%	12.0%	0.9%	4.19	3.08	+1.1
2024	34	MIX RAW	2 levels	45	0	62	265	61	28	4	0%	1.4	23.0%	10.6%	12.5%	1.5%	4.19	3.32	+0.9
2025	35	MIX MLE	2 levels	62	3	77	323	72	29	8	5%	1.2	21.6%	8.9%	12.8%	2.4%	3.99	3.74	+0.7
2025	35	MIX MLE	2 levels	62	3	77	323	72	29	8	5%	1.2	21.6%	8.9%	12.8%	2.4%	3.99	3.74	+0.7
2025	35	MIX RAW	2 levels	62	3	77	323	72	29	8	5%	1.2	22.3%	9.0%	13.3%	2.5%	3.99	3.71	+0.8
2026	36	MIX MLE	2 levels	65	6	72	288	59	28	6	9%	1.1	21.0%	10.5%	10.5%	1.8%	2.99	3.67	+0.8
2026	36	MIX MLE	2 levels	65	6	72	288	59	28	6	9%	1.1	21.0%	10.5%	10.5%	1.8%	2.99	3.67	+0.8
2026	36	MIX RAW	2 levels	65	6	72	288	59	28	6	9%	1.1	20.5%	9.7%	10.8%	2.1%	2.99	3.71	+0.7
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			228	9	272	1144	269	128	21	4%	1.2	23.5%	11.2%	12.3%	1.8%	3.54	3.54	+3.3
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	37	MLB	CWS	45	0	47	198	45	21	5	0%	1.0	22.8%	10.4%	12.4%	2.4%	4.00	4.17	+0.2
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	38	MLB MLE	CWS	20	0	21	89	19	10	3	0%	1.1	21.7%	11.1%	10.6%	2.8%	4.36	4.60	-0.0
2029	39	MLB MLE	CWS	8	0	8	36	7	4	1	0%	1.1	20.5%	11.8%	8.8%	3.3%	4.76	5.03	-0.0
2028	38	MLB CTX	CWS	17	0	18	76	16	8	2	0%	1.1	21.7%	11.1%	10.6%	2.8%	4.36	4.60	-0.0
2029	39	MLB CTX	CWS	6	0	6	25	5	3	1	0%	1.0	20.5%	11.8%	8.8%	3.3%	4.76	5.03	-0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		251	9	297	1246	291	140	24	4%	1.2	23.3%	11.2%	12.1%	1.9%	3.61	3.60	+3.3
/ 200 IP	—	RAW		169	6	200	840	196	94	16	4%	1.2	23.3%	11.2%	12.1%	1.9%	3.61	3.60	+2.2
Career	—	MLE		315	9	389	1646	378	179	32	3%	1.2	23.0%	10.9%	12.1%	1.9%	3.91	3.59	+3.2
/ 200 IP	—	MLE		162	5	200	846	194	92	16	3%	1.2	23.0%	10.9%	12.1%	1.9%	3.91	3.59	+2.1

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 AAACharlotte Knights · 5 IPFIP 4.51 → 4.94 (+0.43)K% 14.3% → 12.3%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	14.29%	—	×0.860	12.29%
BB% (unintentional) /BF	0.00%	—	×0.900	0.00%
HR / BF /BF	4.76%	÷1.000	×1.100	5.24%

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 100).

Result: FIP 4.51 → 4.94, 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 AAASyracuse Mets · 14 IPFIP 3.45 → 3.57 (+0.13)K% 24.6% → 21.1%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	24.59%	—	×0.860	21.15%
BB% (unintentional) /BF	4.92%	—	×0.900	4.43%
HR / BF /BF	3.28%	÷1.167	×1.100	3.09%

Result: FIP 3.45 → 3.57, 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 AAAJacksonville Jumbo Shrimp · 11 IPFIP 4.42 → 5.02 (+0.60)K% 20.8% → 17.9%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	20.83%	—	×0.860	17.92%
BB% (unintentional) /BF	6.25%	—	×0.900	5.62%
HR / BF /BF	4.17%	÷0.925	×1.100	4.95%

Result: FIP 4.42 → 5.02, 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 AAAJacksonville Jumbo Shrimp · 45 IPFIP 3.29 → 3.79 (+0.51)K% 32.6% → 28.7%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	32.60%	—	×0.880	28.69%
BB% (unintentional) /BF	8.84%	—	×1.050	9.28%
HR / BF /BF	3.31%	÷1.032	×1.100	3.53%

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 106).

Result: FIP 3.29 → 3.79, 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 AAHartford Yard Goats · 24 IPFIP 3.25 → 3.62 (+0.36)K% 14.3% → 11.6%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	14.29%	—	×0.810	11.57%
BB% (unintentional) /BF	10.71%	—	×1.100	11.79%
HR / BF /BF	0.00%	÷1.183	×1.200	0.00%

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 137).

Result: FIP 3.25 → 3.62, 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 A+Lancaster JetHawks · 15 IPFIP 3.42 → 3.94 (+0.52)K% 24.2% → 18.7%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	24.24%	—	×0.770	18.67%
BB% (unintentional) /BF	12.12%	—	×1.150	13.94%
HR / BF /BF	1.52%	÷1.600	×1.250	1.18%

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 220).

Result: FIP 3.42 → 3.94, 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
Huascar Brazobán (OGILVIE)	—	—	4.17	22.8%	10.4%	2.4%	—	4.60	21.7%	10.6%	21	+0.43	—	—	—
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	71
Juan Sandoval R 2017 · 3.42 FIP	36	SU	3.42	16.7%	7.2%	1.5%	.298	5.41	15.9%	8.7%	57	+1.99	3.24	225	69
Matt Bush R 2023 · 3.79 FIP	37	SU	3.79	26.2%	8.7%	3.3%	.225	—	—	—	—	—	2.87	249	69
Zack Segovia R 2019 · 4.55 FIP	36	SU	4.55	17.6%	13.6%	2.2%	.353	—	—	—	—	—	3.33	144	65
Pete Walker R 2006 · 4.45 FIP	37	SU	4.45	19.6%	8.0%	3.6%	.337	—	—	—	—	—	4.45	327	64
Erubiel Gonzalez R 2016 · 2.99 FIP	37	SU	2.99	16.4%	6.5%	0.8%	.333	3.51	13.3%	10.8%	35	+0.52	2.99	119	63
Rudy Gonzalez R 2017 · 4.72 FIP	36	SU	4.72	15.8%	7.1%	3.8%	.354	—	—	—	—	—	3.31	119	61
Scott Atchison R 2013 · 3.80 FIP	37	SU	3.80	14.4%	6.2%	2.1%	.273	3.60	16.7%	12.9%	92	-0.20	2.52	340	61
Salvador Valdez R 2019 · 4.30 FIP	36	SW	4.30	17.1%	8.2%	2.9%	.405	—	—	—	—	—	3.60	326	59
Francisco Del Rosario R 2017 · 4.15 FIP	36	SU	4.15	16.4%	10.0%	2.1%	.267	6.35	11.9%	-0.6%	77	+2.20	3.93	194	58
Hector Navarro R 2017 · 3.53 FIP	37	SU	3.53	11.5%	5.6%	1.3%	.283	—	—	—	—	—	2.30	126	56
Chris Nichting R 2002 · 4.67 FIP	36	SU	4.67	16.6%	3.3%	4.6%	.289	—	—	—	—	—	4.11	103	55
Yoshihisa Hirano R 2020 · 5.02 FIP	36	SU	5.02	17.5%	12.7%	3.3%	.381	—	—	—	—	—	3.45	132	51
Tony Pena Jr. R 2017 · 3.43 FIP	36	SU	3.43	10.9%	4.3%	1.3%	.312	—	—	—	—	—	2.80	128	47
Brian Sweeney R 2010 · 4.63 FIP	36	SU	4.63	9.5%	3.4%	3.5%	.226	—	—	—	—	—	3.03	108	46
Hisanori Takahashi L 2012 · 4.04 FIP	37	SU	4.04	24.5%	6.1%	4.1%	.295	—	—	—	—	—	3.50	240	35
Heriberto Ruelas L 2017 · 3.42 FIP	35	SU	3.42	17.2%	6.7%	1.7%	.294	—	—	—	—	—	2.95	117	35
Jonathan Castellanos R 2019 · 5.24 FIP	37	SW	5.24	11.0%	9.0%	3.5%	.348	—	—	—	—	—	3.40	394	35
Brian Shouse L 2006 · 4.19 FIP	37	SU	4.19	13.2%	7.5%	2.3%	.269	3.37	15.3%	11.0%	127	-0.82	2.32	339	33
Logan Duran R 2019 · 3.66 FIP	37	SP-	3.66	15.5%	8.9%	1.4%	.427	—	—	—	—	—	3.42	187	32

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	1.7	44	23.2%	11.4%	0.78	3.68
Ray Searage ('81-'90, 4 WAR*)	1.4	41	21.0%*	10.8%*	0.84*	3.70*
Daniel Bard ('23)	2.3	57	24.2%	12.3%	0.85	3.74
Rich Garces ('02)	1.7	49	20.1%	11.1%	0.84	3.74
George Sherrill ('12)	1.6	46	22.9%	11.0%	0.80	3.77
Dave Geisel ('78-'85, 2 WAR*)	1.0	42	23.5%*	10.6%*	0.84*	4.12*
Horacio Pina ('68-'78, 2 WAR*)	2.2	62	20.7%*	11.2%*	0.84*	4.01*