Brant Hurter — OGILVIE

Brant Hurter P Detroit Tigers

Age 27 LHP 6'6" / 250 lbs MLB peak 0.5 · 2026

2026 ROS PROJECTION35 act + 6 ip · rates below = ROS only

showingROS

wRC+ AGAINSTvL 8795vR 103

ERA3.41

FIP3.68

K%19.4%

BB%7.6%

K-BB%11.8%

ROS IP6

Value2026 · WAR

Runs saved vs league avg · 41 IP

Grades · Statcast · Arsenal · Contract

Scouting Grades

STUF4545

CTRL5555

CMD5555

K†5050

Statcast Percentiles

FB Velo

p1291.8

Whiff%

p1119.8%

p1617.3%

xwOBA vs

p710.292

FB+2.2 (61%)

CH (11%)

SI (57%)

SL-0.7 (28%)

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)
2022	23	MIX MLE	3 levels	25	18	107	437	136	21	7	72%	4.3	23.7%	5.5%	18.2%	1.9%	3.71	2.84	—
2022	23	MIX RAW	3 levels	25	18	107	437	136	21	7	72%	4.3	31.1%	4.8%	26.3%	1.6%	3.71	1.99	—
2023	24	AA MLE	Erie SeaWolves	26	26	118	498	133	33	7	100%	4.5	21.6%	7.3%	14.3%	1.6%	3.28	3.07	—
2023	24	AA MLE	Erie SeaWolves	26	26	118	498	133	33	7	100%	4.5	21.6%	7.3%	14.3%	1.6%	3.28	3.07	—
2023	24	AA RAW	Erie SeaWolves	26	26	118	498	133	33	7	100%	4.5	26.7%	6.6%	20.1%	1.4%	3.28	2.46	—
2024	25	MIX MLE	2 levels	29	19	117	498	108	29	12	66%	4.0	19.3%	5.4%	13.9%	3.1%	4.55	3.83	+1.5
2024	25	MIX MLE	2 levels	29	19	117	498	108	29	12	66%	4.0	19.3%	5.4%	13.9%	3.1%	4.55	3.83	+1.5
2024	25	MIX RAW	2 levels	29	19	117	498	108	29	12	66%	4.0	21.7%	5.8%	15.9%	2.4%	4.55	3.33	+2.2
2025	26	MIX MLE	2 levels	46	4	67	294	70	24	4	9%	1.4	24.5%	8.7%	15.9%	1.5%	2.83	2.95	+1.3
2025	26	MIX MLE	2 levels	46	4	67	294	70	24	4	9%	1.4	24.5%	8.7%	15.9%	1.5%	2.83	2.95	+1.3
2025	26	MIX RAW	2 levels	46	4	67	294	70	24	4	9%	1.4	23.8%	8.2%	15.6%	1.4%	2.83	2.86	+1.4
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			76	5	136	562	125	41	9	7%	1.8	22.2%	7.3%	14.9%	1.6%	2.59	3.03	+2.5
▸ 2026 season
YTD	27	MLB MLE	Detroit Tigers	32	2	35	155	28	18	1	6%	1.1	17.3%	10.0%	7.3%	0.9%	5.14	3.43	+0.5
YTD	27	MLB MLE	Detroit Tigers	32	2	35	155	28	18	1	6%	1.1	17.3%	10.0%	7.3%	0.9%	5.14	3.43	+0.5
▸ 2026 season — so far · projected rest · full
2026	27	A RAW	DET	1	1	0	4	1	1	0	100%	0.3	25.0%	25.0%	0.0%	0.0%	81.00	4.16	—
2026	27	AAA RAW	DET	8	1	7	41	8	6	0	12%	0.9	19.5%	14.6%	4.9%	0.0%	9.82	3.31	—
2026	27	MLB RAW	DET	23	0	27	110	19	11	1	0%	1.2	17.3%	10.0%	7.3%	0.9%	2.96	3.41	+0.4
SO FAR	27	MLB RAW	DET	23	0	27	110	19	11	1	0%	1.2	17.3%	10.0%	7.3%	0.9%	2.96	3.41	+0.4
ROS	27	MLB MLE	DET	6	0	6	27	5	2	1	0%	1.1	19.4%	7.6%	11.8%	2.3%	3.41	3.68	+0.1
ROS	27	MLB CTX	DET	6	0	6	25	5	2	1	0%	1.0	19.4%	7.6%	11.8%	2.3%	3.41	3.68	+0.1
2026 TOT	27	MLB MLE	DET	—	—	41	182	33	20	2	—	—	18.3%	11.0%	7.2%	0.9%	4.88	3.47	+0.5
FULL	27	MLB A+C	DET	—	—	34	142	33	20	2	—	—	23.4%	14.1%	9.3%	1.1%	5.99	3.54	+0.4
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	28	MLB MLE	DET	67	0	71	299	59	23	7	0%	1.1	19.7%	7.7%	11.9%	2.2%	3.87	4.01	+0.5
2028	29	MLB MLE	DET	64	0	68	285	54	23	7	0%	1.1	19.1%	8.0%	11.1%	2.4%	4.05	4.17	+0.3
2029	30	MLB MLE	DET	60	0	63	268	49	22	7	0%	1.1	18.4%	8.3%	10.1%	2.6%	4.25	4.38	+0.1
2027	28	MLB CTX	DET	64	0	67	283	56	22	6	0%	1.0	19.7%	7.7%	11.9%	2.2%	3.87	4.01	+0.4
2028	29	MLB CTX	DET	61	0	64	270	52	22	6	0%	1.0	19.1%	8.0%	11.1%	2.4%	4.05	4.17	+0.3
2029	30	MLB CTX	DET	57	0	60	253	47	21	6	0%	1.1	18.4%	8.3%	10.1%	2.6%	4.25	4.38	+0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		264	5	333	1397	284	108	29	2%	1.3	20.3%	7.7%	12.6%	2.1%	3.44	3.49	+4.2
/ 200 IP	—	RAW		159	3	200	838	170	65	17	2%	1.3	20.3%	7.7%	12.6%	2.1%	3.44	3.49	+2.5
Career	—	MLE		158	69	443	1882	406	128	37	44%	2.8	21.6%	6.8%	14.8%	2.0%	3.80	3.23	+3.4
/ 200 IP	—	MLE		71	31	200	850	184	58	17	44%	2.8	21.6%	6.8%	14.8%	2.0%	3.80	3.23	+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
Brant Hurter (OGILVIE)	—	—	3.90	20.7%	6.8%	2.4%	—	4.18	19.1%	11.1%	202	+0.28	—	—	—
Buddy Baumann L 2015 · 2.92 FIP	27	SW	2.92	22.5%	7.4%	1.5%	.278	4.40	23.5%	13.1%	78	+1.48	2.92	155	79
Hector Hernandez L 2019 · 3.39 FIP	28	SW	3.39	20.2%	9.0%	1.5%	.290	—	—	—	—	—	2.17	121	75
Jordan Carr L 2023 · 3.49 FIP	26	SW	3.49	17.2%	8.5%	1.4%	.270	5.16	12.7%	2.3%	137	+1.67	3.49	269	75
Andrew Barbosa L 2015 · 3.14 FIP	27	SW	3.14	22.8%	12.2%	0.8%	.292	3.73	20.2%	11.3%	127	+0.59	2.70	175	75
Ryan Verdugo L 2015 · 3.61 FIP	28	SU	3.61	19.8%	10.8%	1.5%	.281	3.36	22.7%	17.3%	82	-0.25	3.36	153	74
Edgar Olmos L 2017 · 3.64 FIP	27	SW	3.64	18.9%	9.7%	1.7%	.252	—	—	—	—	—	3.19	203	73
Jason Gurka L 2015 · 3.15 FIP	27	SU	3.15	17.5%	7.0%	1.2%	.303	3.25	23.4%	17.6%	95	+0.10	2.82	183	73
Jorge Ibarra L 2015 · 2.97 FIP	27	SW	2.97	20.2%	8.4%	0.9%	.407	2.81	21.0%	14.5%	99	-0.16	2.55	146	73
Colton Turner L 2018 · 3.27 FIP	27	SU	3.27	21.1%	8.4%	1.6%	.235	4.23	22.4%	13.2%	94	+0.96	2.79	325	71
Joe Mantiply L 2017 · 2.80 FIP	26	SW	2.80	18.5%	6.1%	0.9%	.324	3.65	18.7%	16.0%	38	+0.85	2.07	485	70
Jimmy Reyes L 2016 · 3.82 FIP	27	SU	3.82	14.6%	6.2%	2.1%	.313	4.92	13.8%	5.8%	66	+1.10	3.02	200	70
David Huff L 2015 · 3.40 FIP	30	SW	3.40	17.1%	3.8%	2.3%	.271	4.06	19.5%	14.6%	52	+0.66	3.40	158	70
Carson Teel L 2022 · 4.26 FIP	26	SU	4.26	17.7%	7.1%	3.2%	.355	—	—	—	—	—	3.43	248	70
Mike Montgomery L 2016 · 3.43 FIP	27	SU	3.43	22.2%	8.7%	2.0%	.255	4.15	17.3%	9.2%	346	+0.72	3.43	764	69
Matt Tracy L 2016 · 3.89 FIP	27	SW	3.89	13.8%	8.3%	1.7%	.328	4.22	15.3%	5.5%	129	+0.33	3.24	298	69
Brendan Nail L 2023 · 4.39 FIP	27	SU	4.39	18.9%	10.5%	2.8%	.262	—	—	—	—	—	3.45	165	69
Brian Johnson L 2018 · 4.59 FIP	27	SW	4.59	20.0%	8.8%	3.8%	.300	4.73	17.1%	7.0%	116	+0.14	3.39	506	69
Juan Grullon L 2016 · 4.64 FIP	26	SU	4.64	19.8%	10.9%	3.3%	.305	—	—	—	—	—	4.64	134	69
Chad Bell L 2016 · 3.39 FIP	27	SW	3.39	18.8%	9.7%	1.2%	.307	4.50	19.2%	10.8%	153	+1.11	3.39	393	69
Greg Nappo L 2016 · 5.09 FIP	27	SU	5.09	17.2%	10.3%	3.9%	.285	6.26	12.3%	-0.3%	11	+1.17	3.37	144	69

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	1.4	69	19.5%	7.7%	0.92	3.94
Trevor Gott ('23)	1.0	51	22.0%	7.4%	0.79	3.97
Robert Gsellman ('21)	1.7	67	18.4%	7.8%	0.96	4.38
Derek Law ('24)	1.5	60	21.5%	8.9%	0.88	3.47
Josh Winckowski ('24)	1.2	77	18.3%	8.2%	1.13	4.21
Adam Cimber ('24)	1.6	52	18.3%	6.6%	0.75	3.75
Jarlín García ('22)	1.5	61	19.6%	7.8%	1.33	3.79