Hunter Bigge — OGILVIE

Hunter Bigge P Durham Bulls

Age 28 RHP 6'0" / 215 lbs AAA peak 0.1 · 2026 ILReassigned to Minors (RM)

2026 ROS PROJECTION49 act + 5 ip · rates below = ROS only

showingROS

wRC+ AGAINSTvL 110101vR 93

ERA4.12

FIP4.02

K%27.1%

BB%9.4%

K-BB%17.7%

ROS IP5

Value2026 · WAR

Runs saved vs league avg · 54 IP

Grades · Statcast · Arsenal · Contract

Scouting Grades

STUF6060

CTRL5555

CMD6060

K†6565

Statcast Percentiles

FB Velo

p7896.5

Whiff%

p5425.9%

p1116.5%

xwOBA vs

p510.311

SL+1.2 (41%)

CU (2%)

FB (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)
2019	21	ROK MLE	AZL Cubs 1	1	0	1	6	2	2	0	0%	1.0	33.3%	33.3%	0.0%	0.0%	0.00	4.51	—
2019	21	ROK RAW	AZL Cubs 1	1	0	1	6	2	2	0	0%	1.0	33.3%	33.3%	0.0%	0.0%	0.00	5.10	—
2021	23	A+ MLE	South Bend Cubs	17	0	21	99	29	16	4	0%	1.2	22.6%	18.6%	4.0%	5.4%	5.66	6.54	—
2021	23	A+ RAW	South Bend Cubs	17	0	21	99	29	16	4	0%	1.2	29.3%	16.2%	13.1%	4.0%	5.66	5.13	—
2022	24	MIX MLE	2 levels	41	0	53	239	70	37	6	0%	1.3	22.9%	17.5%	5.4%	3.3%	5.26	5.18	—
2022	24	MIX RAW	2 levels	41	0	53	239	70	37	6	0%	1.3	29.3%	15.5%	13.8%	2.5%	5.26	4.02	—
2023	25	MIX MLE	2 levels	42	0	54	239	68	34	4	0%	1.3	23.1%	14.6%	8.6%	1.9%	4.50	4.02	—
2023	25	MIX MLE	2 levels	42	0	54	239	68	34	4	0%	1.3	23.1%	14.6%	8.6%	1.9%	4.50	4.02	—
2023	25	MIX RAW	2 levels	42	0	54	239	68	34	4	0%	1.3	28.5%	14.2%	14.2%	1.7%	4.50	3.43	—
2024	26	MIX MLE	4 levels	41	1	39	158	63	14	6	2%	1.0	35.9%	8.7%	27.2%	4.1%	2.52	3.44	+0.5
2024	26	MIX MLE	4 levels	41	1	39	158	63	14	6	2%	1.0	35.9%	8.7%	27.2%	4.1%	2.52	3.44	+0.5
2024	26	MIX RAW	4 levels	41	1	39	158	63	14	6	2%	1.0	39.9%	8.9%	31.0%	3.8%	2.52	2.95	+0.8
2025	27	MLB MLE	Tampa Bay Rays	13	0	15	60	12	5	4	0%	1.2	20.0%	8.3%	11.7%	6.5%	2.40	6.02	-0.3
2025	27	MLB MLE	Tampa Bay Rays	13	0	15	60	12	5	4	0%	1.2	20.0%	8.3%	11.7%	6.5%	2.40	6.02	-0.3
2025	27	MLB RAW	Tampa Bay Rays	13	0	15	60	12	5	4	0%	1.2	20.0%	8.3%	11.7%	6.7%	2.40	5.97	-0.2
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			50	1	52	218	50	23	7	2%	1.0	22.9%	10.6%	12.4%	3.2%	4.18	4.26	+0.2
▸ 2026 season
YTD	28	MLB MLE	Tampa Bay Rays	45	0	49	220	51	33	8	0%	1.1	20.3%	14.1%	6.2%	4.0%	6.47	5.35	-0.5
YTD	28	MLB MLE	Tampa Bay Rays	45	0	49	220	51	33	8	0%	1.1	20.3%	14.1%	6.2%	4.0%	6.47	5.35	-0.5
▸ 2026 season — so far · projected rest · full
2026	28	AAA RAW	TB	27	0	29	135	37	20	7	0%	1.1	27.4%	14.8%	12.6%	5.2%	6.14	5.51	—
2026	28	MLB RAW	TB	18	0	19	85	14	13	1	0%	1.1	16.5%	15.3%	1.2%	1.2%	6.98	4.29	+0.1
SO FAR	28	MLB RAW	TB	18	0	19	85	14	13	1	0%	1.1	16.5%	15.3%	1.2%	1.2%	6.98	4.29	+0.1
ROS	28	MLB MLE	TB	5	0	5	21	6	2	1	0%	1.0	27.1%	9.4%	17.7%	3.7%	4.12	4.02	+0.0
ROS	28	MLB CTX	TB	5	0	5	21	6	2	1	0%	1.0	27.1%	9.4%	17.7%	3.7%	4.12	4.02	+0.0
2026 TOT	28	MLB MLE	TB	—	—	54	241	57	35	9	—	—	23.5%	14.5%	9.0%	3.6%	6.26	5.22	-0.4
FULL	28	MLB A+C	TB	—	—	24	102	57	35	9	—	—	55.3%	34.1%	21.2%	8.6%	13.83	7.45	-0.2
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	29	MLB MLE	TB	49	0	52	218	57	21	7	0%	1.1	25.9%	9.8%	16.1%	3.4%	4.39	4.41	+0.1
2028	30	MLB MLE	TB	46	0	49	205	51	21	7	0%	1.1	25.1%	10.1%	15.0%	3.6%	4.52	4.61	-0.0
2027	29	MLB CTX	TB	47	0	49	207	54	20	7	0%	1.0	25.9%	9.8%	16.1%	3.4%	4.39	4.41	+0.1
2028	30	MLB CTX	TB	44	0	46	194	49	20	7	0%	1.0	25.1%	10.1%	15.0%	3.6%	4.52	4.61	-0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		145	1	152	641	158	65	22	1%	1.0	24.7%	10.1%	14.6%	3.4%	4.35	4.17	+0.7
/ 200 IP	—	RAW		192	1	200	844	208	86	29	1%	1.0	24.7%	10.1%	14.6%	3.4%	4.35	4.17	+0.9
Career	—	MLE		200	1	232	1021	248	147	37	0%	1.2	24.3%	14.4%	9.9%	3.6%	4.70	4.85	+0.3
/ 200 IP	—	MLE		173	1	200	881	214	127	32	0%	1.2	24.3%	14.4%	9.9%	3.6%	4.70	4.85	+0.3

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
Hunter Bigge (OGILVIE)	—	—	4.02	29.8%	8.3%	3.7%	—	4.51	25.5%	15.6%	100	+0.49	—	—	—
Daniel Hudson R 2015 · 3.35 FIP	28	SU	3.35	24.5%	7.9%	2.4%	.302	3.78	22.8%	13.6%	168	+0.43	1.68	468	79
Matt Ramsey R 2018 · 3.78 FIP	28	SU	3.78	24.9%	8.8%	3.0%	.276	2.42	21.7%	12.6%	34	-1.36	2.42	125	79
Ryan Brasier R 2016 · 3.68 FIP	28	SU	3.68	25.0%	7.7%	3.1%	.289	3.09	24.2%	17.9%	130	-0.59	2.31	426	78
Neftalí Feliz R 2016 · 4.62 FIP	28	SU	4.62	28.0%	9.2%	5.0%	.236	5.02	17.1%	4.4%	138	+0.40	3.54	291	77
Bryan Shaw R 2016 · 3.73 FIP	28	SU	3.73	25.1%	9.1%	2.9%	.277	3.83	21.1%	12.7%	203	+0.10	2.78	596	77
Michael Flynn R 2023 · 4.31 FIP	26	SU	4.31	26.5%	11.2%	3.7%	.299	4.42	20.8%	10.2%	92	+0.11	3.89	168	77
Daniel Robert R 2023 · 3.51 FIP	28	SU	3.51	21.9%	10.7%	1.7%	.310	3.09	24.6%	16.4%	87	-0.42	2.32	186	76
Jonathan Broxton R 2015 · 3.67 FIP	31	SU	3.67	24.5%	8.2%	2.9%	.325	3.89	21.7%	13.5%	76	+0.22	3.67	137	76
Kaleb Bowman R 2023 · 3.88 FIP	26	SU	3.88	22.0%	7.5%	3.1%	.333	4.55	17.5%	6.5%	168	+0.67	3.88	202	76
David Hernandez R 2015 · 4.40 FIP	30	SU	4.40	22.9%	7.6%	4.1%	.287	3.17	24.9%	18.4%	192	-1.23	2.60	268	75
José Cisnero R 2016 · 4.50 FIP	27	SU	4.50	26.1%	11.7%	3.9%	.367	3.90	24.5%	13.3%	75	-0.60	2.26	279	75
Jake Cousins R 2022 · 3.15 FIP	28	SU	3.15	30.9%	11.9%	2.1%	.265	3.86	30.9%	19.0%	65	+0.71	1.11	160	75
Gerardo Sanchez R 2017 · 3.47 FIP	28	SU	3.47	21.6%	8.4%	2.1%	.355	3.58	20.5%	15.1%	56	+0.11	2.65	137	74
Arquimedes Caminero R 2015 · 3.54 FIP	28	SU	3.54	23.0%	8.5%	2.4%	.265	4.45	17.9%	6.5%	61	+0.91	3.54	173	74
Yennier Cano R 2022 · 4.46 FIP	28	SU	4.46	23.2%	11.8%	3.3%	.325	3.19	23.4%	16.2%	191	-1.27	2.43	377	74
Trevor May R 2018 · 3.74 FIP	28	SU	3.74	26.1%	9.8%	2.9%	.291	3.47	31.9%	23.6%	150	-0.27	3.05	432	74
Dayan Díaz R 2017 · 3.45 FIP	28	SU	3.45	25.1%	8.7%	2.5%	.358	3.96	29.4%	19.3%	16	+0.51	3.08	205	74
Chris Hatcher R 2015 · 2.92 FIP	30	SU	2.92	27.1%	6.6%	2.3%	.292	4.67	22.6%	14.0%	137	+1.75	2.92	176	74
Blake Wood R 2015 · 2.92 FIP	29	SU	2.92	24.5%	10.5%	1.0%	.325	3.60	24.9%	14.9%	151	+0.68	2.92	210	74
Arodys Vizcaíno R 2018 · 3.47 FIP	27	SU	3.47	25.3%	8.9%	2.5%	.260	—	—	—	—	—	2.28	183	74

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	0.8	50	27.0%	9.4%	1.38	4.34
Noé Ramirez ('22)	1.3	52	24.8%	9.0%	1.33	4.19
Colin Poche ('24)	1.0	52	27.0%	9.2%	1.34	3.63
Robert Stephenson ('23)	1.7	57	26.2%	9.9%	1.39	4.33
Mike Mayers ('23)	1.2	47	24.3%	7.8%	1.50	4.47
José Ruiz ('24)	1.3	52	22.2%	10.4%	1.41	4.41
Michael Feliz ('21)	1.2	47	30.5%	9.8%	1.48	5.05