Brandon Woodruff

Brandon Woodruff P Milwaukee Brewers

Age 33 RHP 6'4" / 241 lbs MLB Svc 7.0 · Ctrl thru 2026 peak 1.3 · 2026 ILInjured 60-Day (D60)

2026 ROS PROJECTION54 act + 3 ip · rates below = ROS only

showingROS

wRC+ AGAINSTvL 8577vR 69

ERA3.01

FIP3.08

K%27.8%

BB%5.7%

K-BB%22.1%

ROS IP3

Value2026 · WAR

Runs saved vs league avg · 58 IP

Grades · Statcast · Arsenal · Contract

Scouting Grades

STUF5555

CTRL5555

CMD6060

K†6565

Statcast Percentiles

FB Velo

p1291.8

Whiff%

p3823.6%

p7627.0%

xwOBA vs

p900.263

CT+1.9 (10%)

SI (19%)

CU (4%)

CH (21%)

FB (63%)

Contract ESTIMATED · service-time + WAR-based estimator (needs verification)

Status FA

MLB Debut 2017

Service 7.936 yrs.days

Team Control Through 2026

First FA Year 2027

NTCOPT

Year	Status	Salary	Proj WAR	Value	Surplus
2026ROS	Ext	$2M	+0.1	$0.5M	-$1M
Totals		$2M		$0.5M	-$1M

Options · projected decision
2027	MUTUAL OPT	$22.0M / $0.0M buyout	DECLINE
2028	MUTUAL OPT	$20.0M / $10.0M buyout	DECLINE
2029	MUTUAL OPT	$22.0M / $0.0M buyout	DECLINE

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)
2015	22	A+ MLE	Brevard County Manatees	21	19	110	457	71	33	2	90%	5.2	12.0%	8.3%	3.7%	0.6%	3.45	3.48	—
2015	22	A+ RAW	Brevard County Manatees	21	19	110	457	71	33	2	90%	5.2	15.5%	7.2%	8.3%	0.4%	3.45	2.94	—
2016	23	MIX MLE	2 levels	28	28	158	633	173	40	6	100%	5.6	21.8%	7.0%	14.8%	1.0%	2.68	2.68	—
2016	23	MIX RAW	2 levels	28	28	158	633	173	40	6	100%	5.6	27.3%	6.3%	21.0%	0.9%	2.68	2.16	—
2017	24	MIX MLE	3 levels	25	25	120	518	103	38	13	100%	4.8	18.4%	7.5%	10.9%	2.8%	4.49	4.03	+1.2
2017	24	MIX RAW	3 levels	25	25	120	518	103	38	13	100%	4.8	19.9%	7.3%	12.5%	2.5%	4.49	3.74	+1.7
2018	25	MIX MLE	2 levels	36	21	114	486	115	46	12	58%	3.2	22.0%	9.8%	12.2%	2.4%	3.88	3.80	+1.5
2018	25	MIX RAW	2 levels	36	21	114	486	115	46	12	58%	3.2	23.7%	9.5%	14.2%	2.5%	3.88	3.66	+1.7
2019	26	MLB MLE	Milwaukee Brewers	22	22	122	493	143	30	12	100%	5.5	29.0%	6.1%	22.9%	2.3%	3.62	2.69	+3.4
2019	26	MLB RAW	Milwaukee Brewers	22	22	122	493	143	30	12	100%	5.5	29.0%	6.1%	22.9%	2.4%	3.62	2.77	+3.3
2020	27	MLB MLE	Milwaukee Brewers	13	13	74	293	91	18	9	100%	5.7	31.1%	6.1%	24.9%	2.9%	3.05	2.86	+1.9
2020	27	MLB RAW	Milwaukee Brewers	13	13	74	293	91	18	9	100%	5.7	31.1%	6.1%	24.9%	3.1%	3.05	2.95	+1.8
2021	28	MLB MLE	Milwaukee Brewers	30	30	179	708	211	43	18	100%	6.0	29.8%	6.1%	23.7%	2.4%	2.56	2.68	+5.1
2021	28	MLB RAW	Milwaukee Brewers	30	30	179	708	211	43	18	100%	6.0	29.8%	6.1%	23.7%	2.5%	2.56	2.77	+4.9
2022	29	MIX MLE	3 levels	29	29	161	649	204	44	19	100%	5.6	30.6%	6.8%	23.9%	2.8%	3.02	2.89	+4.1
2022	29	MIX RAW	3 levels	29	29	161	649	204	44	19	100%	5.6	31.4%	6.8%	24.7%	2.9%	3.02	2.92	+4.0
2023	30	MIX MLE	3 levels	14	14	79	297	85	17	9	100%	5.6	29.2%	5.9%	23.3%	3.4%	2.40	3.24	+1.6
2023	30	MIX MLE	3 levels	14	14	79	297	85	17	9	100%	5.6	29.2%	5.9%	23.3%	3.4%	2.40	3.24	+1.6
2023	30	MIX RAW	3 levels	14	14	79	297	85	17	9	100%	5.6	28.6%	5.7%	22.9%	3.0%	2.40	3.07	+1.8
2025	32	MIX MLE	3 levels	22	22	107	427	118	26	11	100%	4.8	26.1%	6.0%	20.0%	2.5%	3.04	3.02	+2.5
2025	32	MIX MLE	3 levels	22	22	107	427	118	26	11	100%	4.8	26.1%	6.0%	20.0%	2.5%	3.04	3.02	+2.5
2025	32	MIX RAW	3 levels	22	22	107	427	118	26	11	100%	4.8	27.6%	6.1%	21.5%	2.6%	3.04	2.96	+2.6
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			151	136	790	3158	918	198	89	90%	5.2	29.1%	6.3%	22.8%	2.8%	3.10	2.99	+18.8
▸ 2026 season
YTD	33	MLB MLE	Milwaukee Brewers	11	11	54	212	58	12	6	100%	4.9	27.0%	5.2%	21.8%	2.7%	3.48	2.98	+1.3
YTD	33	MLB MLE	Milwaukee Brewers	11	11	54	212	58	12	6	100%	4.9	27.0%	5.2%	21.8%	2.7%	3.48	2.98	+1.3
▸ 2026 season — so far · projected rest · full
2026	33	ROK RAW	MIL	1	1	4	17	5	2	0	100%	3.7	29.4%	11.8%	17.6%	0.0%	7.36	2.11	—
2026	33	A+ RAW	MIL	1	1	5	21	6	1	1	100%	5.3	28.6%	4.8%	23.8%	4.8%	5.06	3.90	—
2026	33	MLB RAW	MIL	9	9	45	174	47	9	5	100%	5.0	27.0%	5.2%	21.8%	2.9%	2.98	3.05	+1.0
SO FAR	33	MLB RAW	MIL	9	9	45	174	47	9	5	100%	5.0	27.0%	5.2%	21.8%	2.9%	2.98	3.05	+1.0
ROS	33	MLB MLE	MIL	1	1	3	14	4	1	0	100%	3.4	27.8%	5.7%	22.1%	2.9%	3.01	3.08	+0.1
ROS	33	MLB CTX	MIL	1	1	3	13	4	1	0	100%	3.0	27.8%	5.7%	22.1%	3.1%	3.09	3.16	+0.1
2026 TOT	33	MLB MLE	MIL	—	—	58	226	62	13	6	—	—	27.4%	5.7%	21.7%	2.8%	3.45	2.98	+1.1
FULL	33	MLB A+C	MIL	—	—	49	206	62	13	6	—	—	30.1%	6.2%	23.9%	3.1%	4.09	3.06	+1.0
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	34	MLB MLE	MIL	9	9	55	232	63	14	7	100%	6.1	27.1%	6.2%	20.9%	3.2%	3.60	3.75	+0.8
2028	35	MLB MLE	MIL	8	8	49	209	55	14	7	100%	6.2	26.1%	6.8%	19.4%	3.6%	3.89	4.09	+0.5
2029	36	MLB MLE	MIL	7	7	44	185	46	14	7	100%	6.2	25.1%	7.4%	17.7%	3.9%	4.23	4.46	+0.2
2027	34	MLB CTX	MIL	9	9	55	232	63	14	8	100%	6.1	27.1%	6.2%	20.9%	3.4%	3.69	3.84	+0.8
2028	35	MLB CTX	MIL	8	8	49	207	54	14	8	100%	6.1	26.1%	6.8%	19.4%	3.7%	3.99	4.19	+0.5
2029	36	MLB CTX	MIL	7	7	44	186	47	14	8	100%	6.3	25.1%	7.4%	17.7%	4.1%	4.34	4.57	+0.2
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		176	161	942	3798	1086	241	113	91%	5.4	28.6%	6.3%	22.2%	3.0%	3.24	3.12	+20.9
/ 200 IP	—	RAW		37	34	200	806	231	51	24	91%	5.3	28.6%	6.3%	22.2%	3.0%	3.24	3.12	+4.4
Career	—	MLE		251	234	1277	5173	1294	358	117	93%	5.1	25.0%	6.9%	18.1%	2.3%	3.21	3.10	+20.2
/ 200 IP	—	MLE		39	37	200	810	203	56	18	93%	5.1	25.0%	6.9%	18.1%	2.3%	3.21	3.10	+4.3

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
Brandon Woodruff (OGILVIE)	—	—	3.45	28.6%	6.0%	2.9%	—	4.07	26.2%	19.4%	148	+0.62	—	—	—
Josh Lindblom R 2020 · 3.50 FIP	33	SP	3.50	27.2%	8.4%	3.0%	.308	4.46	21.7%	13.8%	255	+0.96	3.50	348	68
Alex Cobb R 2021 · 2.74 FIP	33	SP	2.74	24.9%	8.4%	1.2%	.311	3.32	21.8%	15.6%	317	+0.58	2.74	844	64
Jose Oyervides R 2015 · 3.01 FIP	33	SP	3.01	19.1%	6.2%	1.4%	.333	4.09	21.9%	14.5%	184	+1.08	3.01	407	58
Jarrett Grube R 2015 · 3.75 FIP	33	SP	3.75	18.7%	4.2%	3.1%	.285	4.57	17.3%	9.6%	253	+0.82	3.75	393	58
Josh Lowey R 2017 · 2.36 FIP	32	SP	2.36	24.7%	6.9%	0.9%	.330	3.45	22.4%	15.6%	53	+1.09	2.22	426	56
Kenta Maeda R 2021 · 3.79 FIP	33	SP	3.79	24.9%	6.8%	3.5%	.307	4.26	23.5%	17.0%	230	+0.47	2.87	1,092	56
Hisashi Iwakuma R 2015 · 3.74 FIP	34	SP	3.74	21.5%	3.9%	3.6%	.270	4.44	16.9%	11.2%	230	+0.70	3.74	360	54
Carlos Carrasco R 2020 · 3.42 FIP	33	SP	3.42	29.3%	9.6%	2.9%	.288	4.24	20.8%	13.5%	296	+0.82	2.67	1,455	54
Charlie Morton R 2017 · 3.16 FIP	33	SP	3.16	26.4%	7.9%	2.3%	.284	2.90	29.2%	21.3%	400	-0.26	2.52	1,534	54
Clay Buchholz R 2018 · 3.61 FIP	33	SP	3.61	19.0%	6.4%	2.4%	.254	5.36	15.4%	9.5%	59	+1.75	2.51	433	54
Hector Ambriz R 2016 · 3.63 FIP	32	SP	3.63	16.0%	6.4%	2.0%	.273	6.40	10.4%	2.9%	91	+2.77	3.63	155	52
Kodai Senga R 2023 · 3.40 FIP	30	SP	3.40	29.1%	11.1%	2.5%	.274	4.52	23.1%	10.6%	183	+1.12	3.40	349	51
Jorge Martinez R 2017 · 3.70 FIP	32	SP	3.70	17.1%	2.6%	3.1%	.355	3.71	16.3%	10.6%	117	+0.01	3.53	214	51
Jason Hammel R 2016 · 4.37 FIP	33	SP	4.37	20.8%	7.7%	3.8%	.262	4.28	17.1%	11.3%	307	-0.09	3.54	645	51
Manuel Flores R 2019 · 4.32 FIP	33	SP	4.32	17.1%	7.4%	3.1%	.291	—	—	—	—	—	3.46	515	51
Jair Jurrjens R 2017 · 4.27 FIP	31	SP	4.27	16.3%	7.9%	2.8%	.335	—	—	—	—	—	4.27	125	51
Juan Delgadillo R 2015 · 4.54 FIP	32	SP	4.54	15.5%	7.2%	3.3%	.316	4.47	10.9%	4.7%	39	-0.07	4.47	143	49
Jake Peavy R 2015 · 4.07 FIP	34	SP	4.07	17.3%	5.7%	3.1%	.278	4.35	19.6%	12.9%	119	+0.28	4.07	262	48
Matt Garza R 2017 · 4.57 FIP	33	SP	4.57	15.7%	8.1%	3.2%	.283	—	—	—	—	—	4.00	365	47
Guillermo Moscoso R 2017 · 3.77 FIP	33	SP	3.77	14.5%	6.9%	1.8%	.270	4.64	14.9%	7.5%	176	+0.87	3.77	264	47

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	1.0	51	26.8%	6.5%	1.31	3.75
Blake Parker ('21)	1.2	60	26.6%	7.3%	1.40	3.36
Erik Swanson ('24)	1.3	51	26.2%	6.5%	1.57	3.70
Sean Doolittle ('21)	1.2	49	28.7%	6.2%	1.18	3.31
Chris Devenski ('24)	1.9	62	26.0%	6.9%	1.25	3.61
Giovanny Gallegos ('24)	1.5	52	29.4%	6.6%	1.19	3.46
Eli Morgan ('24)	1.3	66	23.8%	6.4%	1.46	3.97