Huascar Brazobán

Huascar Brazobán P Chicago White Sox

Age 36 RHP 6'3" / 155 lbs MLB peak 0.3 · 2026 ILInjured 15-Day (D15)

2026 ROS PROJECTION66 act + 4 ip · rates below = ROS only

showingROS

wRC+ AGAINSTvL 10193vR 85

ERA3.77

FIP3.85

K%22.5%

BB%10.6%

K-BB%11.9%

ROS IP4

Value2026 · WAR

Runs saved vs league avg · 70 IP

Grades · Statcast · Arsenal · Contract

Scouting Grades

STUF5050

CTRL4040

CMD4545

K†5555

Statcast Percentiles

FB Velo

p8496.9

Whiff%

p5125.5%

p4521.4%

xwOBA vs

p710.292

FB+2.8 (57%)

CH (39%)

CT (3%)

SI (51%)

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 + 2026 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 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	21.5%	8.9%	12.6%	2.4%	3.99	3.75	+0.7
2025	35	MIX MLE	2 levels	62	3	77	323	72	29	8	5%	1.2	21.5%	8.9%	12.6%	2.4%	3.99	3.75	+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
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			224	9	268	1129	267	128	21	4%	1.2	23.6%	11.3%	12.3%	1.9%	3.59	3.56	+3.2
▸ 2026 season
YTD	36	MLB MLE	Chicago White Sox	59	6	66	263	56	28	5	10%	1.1	21.4%	11.1%	10.3%	2.0%	3.00	3.77	+0.6
YTD	36	MLB MLE	Chicago White Sox	59	6	66	263	56	28	5	10%	1.1	21.4%	11.1%	10.3%	2.0%	3.00	3.77	+0.6
▸ 2026 season — so far · projected rest · full
2026	36	AAA RAW	CWS	3	0	3	11	2	0	0	0%	1.1	18.2%	0.0%	18.2%	0.0%	0.00	1.56	—
2026	36	MLB RAW	CWS	56	6	63	252	54	28	5	11%	1.1	21.4%	11.1%	10.3%	2.0%	3.16	3.79	+0.6
SO FAR	36	MLB RAW	CWS	56	6	63	252	54	28	5	11%	1.1	21.4%	11.1%	10.3%	2.0%	3.16	3.79	+0.6
ROS	36	MLB MLE	CWS	4	0	4	17	4	2	0	0%	1.0	22.5%	10.6%	11.9%	2.4%	3.77	3.85	+0.0
ROS	36	MLB CTX	CWS	4	0	4	17	4	2	0	0%	1.0	22.5%	10.6%	11.9%	2.4%	3.77	3.85	+0.0
2026 TOT	36	MLB MLE	CWS	—	—	70	280	60	30	5	—	—	21.4%	10.6%	10.7%	1.9%	3.04	3.77	+0.7
FULL	36	MLB A+C	CWS	—	—	67	281	60	30	5	—	—	21.2%	10.6%	10.7%	1.9%	3.20	3.70	+0.7
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	37	MLB MLE	CWS	42	0	44	186	40	21	5	0%	1.1	21.6%	11.2%	10.4%	2.7%	4.36	4.56	-0.0
2027	37	MLB CTX	CWS	38	0	40	169	37	19	5	0%	1.1	21.6%	11.2%	10.4%	2.7%	4.36	4.56	-0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		266	9	312	1315	307	149	26	3%	1.2	23.4%	11.3%	12.1%	2.0%	3.69	3.64	+3.4
/ 200 IP	—	RAW		170	6	200	843	197	95	17	3%	1.2	23.4%	11.3%	12.1%	2.0%	3.69	3.64	+2.2
Career	—	MLE		309	9	383	1621	374	178	31	3%	1.2	23.0%	11.0%	12.1%	1.9%	3.93	3.61	+3.2
/ 200 IP	—	MLE		161	5	200	847	195	93	16	3%	1.2	23.0%	11.0%	12.1%	1.9%	3.93	3.61	+2.0

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)	—	—	4.10	23.8%	10.2%	2.4%	—	4.56	21.6%	10.4%	44	+0.46	—	—	—
Hirokazu Sawamura R 2022 · 4.02 FIP	34	SU	4.02	18.1%	11.3%	1.9%	.270	—	—	—	—	—	4.02	104	77
Fernando Rodney R 2015 · 4.37 FIP	38	SU	4.37	20.9%	9.4%	3.4%	.272	3.37	26.2%	15.2%	185	-1.00	2.69	295	76
Mark Lowe R 2017 · 5.03 FIP	34	SU	5.03	16.4%	10.0%	3.7%	.331	—	—	—	—	—	2.37	153	74
Jim Johnson R 2018 · 4.48 FIP	35	SU	4.48	16.8%	7.8%	3.3%	.285	—	—	—	—	—	2.56	251	74
Blaine Boyer R 2017 · 3.24 FIP	36	SU	3.24	18.0%	7.6%	1.3%	.341	7.38	8.3%	-0.9%	22	+4.14	3.24	209	74
Manny Acosta R 2016 · 4.19 FIP	35	SU	4.19	18.1%	9.1%	2.7%	.273	3.08	23.2%	9.9%	44	-1.11	3.08	102	74
Matt Albers R 2019 · 4.13 FIP	36	SU	4.13	22.1%	10.1%	2.9%	.269	—	—	—	—	—	3.15	244	74
Carlos Torres R 2019 · 4.28 FIP	36	SU	4.28	17.8%	9.0%	2.8%	.311	—	—	—	—	—	2.89	326	74
Dustin McGowan R 2017 · 4.58 FIP	35	SU	4.58	19.4%	6.7%	4.2%	.277	—	—	—	—	—	3.82	208	73
Jean Machi R 2017 · 4.12 FIP	35	SU	4.12	18.6%	6.6%	3.2%	.285	—	—	—	—	—	4.12	186	72
Joaquín Benoit R 2015 · 3.58 FIP	38	SU	3.58	24.8%	8.7%	2.7%	.179	4.11	23.5%	12.9%	98	+0.53	3.58	164	72
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	4.15	145	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	70
Carlos Fisher R 2017 · 3.91 FIP	34	SU	3.91	18.1%	12.9%	1.3%	.333	—	—	—	—	—	2.48	147	70
Josh Lueke R 2019 · 4.11 FIP	34	SU	4.11	20.4%	6.4%	3.5%	.311	—	—	—	—	—	2.29	107	69
Santiago Casilla R 2016 · 3.69 FIP	36	SU	3.69	27.0%	7.1%	3.6%	.278	4.13	19.8%	8.7%	103	+0.44	3.50	219	69
John Axford R 2018 · 3.64 FIP	35	SU	3.64	23.2%	9.0%	2.5%	.303	—	—	—	—	—	3.20	197	68
Jason Motte R 2017 · 5.16 FIP	35	SU	5.16	16.3%	11.4%	3.6%	.193	—	—	—	—	—	3.18	113	67
Luis Ayala R 2015 · 3.03 FIP	37	SU	3.03	19.7%	5.0%	1.7%	.270	3.27	12.1%	5.9%	57	+0.24	3.03	119	67
Zack Segovia R 2019 · 4.55 FIP	36	SU	4.55	17.6%	13.6%	2.2%	.353	—	—	—	—	—	3.33	144	66

Career Comps

Retired MLB careers whose totals most resemble what we're projecting for this player. Pool: 133 completed pitcher careers (2015-2024).

Player	162s	IP/yr	K%	BB%	HR/9	ERA
OGILVIE CAREER PROJECTION	0.5	45	22.8%	10.7%	0.99	4.19
José Cisnero ('23)	1.1	42	24.8%	11.3%	0.94	3.84
Cory Gearrin ('19)	1.1	57	21.5%	9.8%	0.79	3.42
Keegan Thompson ('24)	1.1	57	23.0%	11.3%	1.19	3.64
José Ruiz ('24)	1.3	52	22.2%	10.4%	1.41	4.41
Cam Bedrosian ('21)	1.3	45	24.5%	10.0%	0.97	3.68
Noé Ramirez ('22)	1.3	52	24.8%	9.0%	1.33	4.19