Hunter Bigge

P Las Vegas Aviators

Age 29 RHP 6'0" / 215 lbs AAA

Overview

AAARP40-MAN

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	26	MIX4 levels	41	1	39	2.52	2.95	39.9%	8.9%	0.8	K 36.6% · BB 8.7% · FIP 3.38
2025	27	MLBTB	13	0	15	2.40	5.97	20.0%	8.3%	-0.2
2026	28	MIX2 levels	48	0	52	6.02	5.14	23.0%	15.7%	-0.4	K 20.6% · BB 14.7% · FIP 5.26
2027PROJ	29	MLBTB	53	0	56	4.54	4.75	25.3%	12.0%	-0.1
2028PROJ83% MLB	30	MLBTB	37	0	39	4.75	4.91	24.4%	12.0%	-0.2
2029PROJ87% MLB	31	MLBTB	26	0	27	4.94	5.10	23.6%	12.2%	-0.2

Last 3 seasons WAR 0.1 · Next 3 projected WAR -0.5Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Skills · percentileStatcast 2026

FB Velo78

xwOBA vs51

K%11

CompsJason Bulger (age 29) · Joe Nelson (age 31) · Cody Hall (age 29)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 123115vR 107

ERA4.54

FIP4.75

K%25.3%

BB%12.0%

K-BB%13.3%

Proj IP72

Value2027 · WAR

Runs saved vs league avg · 72 IP

Grades · Statcast · Contract

Scouting Grades

STUF6060

CTRL5555

CMD6060

K†6060

Statcast Percentiles

FB Velo

p7896.5

Whiff%

p5425.9%

p1116.5%

xwOBA vs

p510.311

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)
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	23.3%	14.6%	8.7%	1.9%	4.50	4.00	—
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	36.6%	8.7%	27.9%	4.1%	2.52	3.38	+0.5
2024	26	MIX MLE	4 levels	41	1	39	158	63	14	6	2%	1.0	36.6%	8.7%	27.9%	4.1%	2.52	3.38	+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
2026	28	MIX MLE	2 levels	48	0	52	235	54	37	8	0%	1.1	20.6%	14.7%	5.9%	3.7%	6.02	5.26	-0.4
2026	28	MIX MLE	2 levels	48	0	52	235	54	37	8	0%	1.1	20.6%	14.7%	5.9%	3.7%	6.02	5.26	-0.4
2026	28	MIX RAW	2 levels	48	0	52	235	54	37	8	0%	1.1	23.0%	15.7%	7.2%	3.4%	6.02	5.14	-0.4
▸ 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
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	29	MLB	TB	53	0	56	236	60	28	8	0%	1.1	25.3%	12.0%	13.3%	3.4%	4.54	4.75	-0.1
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	30	MLB MLE	TB	44	0	46	195	48	23	7	0%	1.1	24.4%	12.0%	12.4%	3.6%	4.75	4.91	-0.2
2029	31	MLB MLE	TB	30	0	32	133	31	16	5	0%	1.1	23.6%	12.2%	11.4%	3.8%	4.94	5.10	-0.2
2028	30	MLB CTX	TB	37	0	39	165	40	20	6	0%	1.1	24.4%	12.0%	12.4%	3.6%	4.75	4.91	-0.2
2029	31	MLB CTX	TB	26	0	27	114	27	14	4	0%	1.0	23.6%	12.2%	11.4%	3.8%	4.94	5.10	-0.2
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		113	1	118	496	117	57	17	1%	1.0	23.6%	11.4%	12.2%	3.5%	4.54	4.46	+0.1
/ 200 IP	—	RAW		192	2	200	844	199	97	29	1%	1.0	23.6%	11.4%	12.2%	3.5%	4.54	4.46	+0.2
Career	—	MLE		203	1	235	1036	253	150	37	0%	1.2	24.4%	14.5%	9.9%	3.6%	4.63	4.83	-0.2
/ 200 IP	—	MLE		173	1	200	880	215	128	31	0%	1.2	24.4%	14.5%	9.9%	3.6%	4.63	4.83	-0.3

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 AAALas Vegas Aviators · 33 IPFIP 5.44 → 5.81 (+0.37)K% 26.7% → 22.9%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	26.67%	—	×0.860	22.93%
BB% (unintentional) /BF	16.00%	—	×0.900	14.40%
HR / BF /BF	4.67%	÷1.000	×1.100	5.13%

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 5.44 → 5.81, 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 AAADurham Bulls · 20 IPFIP 3.48 → 3.99 (+0.51)K% 46.8% → 40.2%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	46.75%	—	×0.860	40.21%
BB% (unintentional) /BF	11.69%	—	×0.900	10.52%
HR / BF /BF	5.19%	÷1.061	×1.100	5.39%

Result: FIP 3.48 → 3.99, 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).

2023 AATennessee Smokies · 44 IPFIP 2.87 → 3.60 (+0.73)K% 30.4% → 24.7%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	30.43%	—	×0.810	24.65%
BB% (unintentional) /BF	11.41%	—	×1.100	12.55%
HR / BF /BF	1.63%	÷1.082	×1.200	1.81%

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 116).

Result: FIP 2.87 → 3.60, 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).

2023 AAAIowa Cubs · 10 IPFIP 5.25 → 5.35 (+0.10)K% 21.8% → 18.8%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	21.82%	—	×0.860	18.76%
BB% (unintentional) /BF	23.64%	—	×0.900	21.27%
HR / BF /BF	1.82%	÷0.965	×1.100	2.07%

Result: FIP 5.25 → 5.35, 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 A+South Bend Cubs · 37 IPFIP 4.14 → 5.53 (+1.39)K% 28.8% → 22.2%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	28.83%	—	×0.770	22.20%
BB% (unintentional) /BF	14.11%	—	×1.150	16.23%
HR / BF /BF	3.07%	÷0.938	×1.250	4.09%

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 88).

Result: FIP 4.14 → 5.53, 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 AATennessee Smokies · 16 IPFIP 3.60 → 4.45 (+0.85)K% 30.3% → 24.5%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	30.26%	—	×0.810	24.51%
BB% (unintentional) /BF	18.42%	—	×1.100	20.26%
HR / BF /BF	1.32%	÷1.010	×1.200	1.56%

Result: FIP 3.60 → 4.45, 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).

2021 A+South Bend Cubs · 21 IPFIP 4.89 → 6.54 (+1.65)K% 29.3% → 22.6%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	29.29%	—	×0.770	22.56%
BB% (unintentional) /BF	16.16%	—	×1.150	18.59%
HR / BF /BF	4.04%	÷0.928	×1.250	5.44%

Result: FIP 4.89 → 6.54, 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
Hunter Bigge (OGILVIE)	—	—	4.75	25.3%	12.0%	3.4%	—	4.99	24.1%	12.0%	78	+0.24	—	—	—
Jason Bulger R 2008 · 4.60 FIP	29	SU	4.60	27.4%	12.3%	4.1%	.293	3.94	25.1%	13.3%	90	-0.66	3.78	106	81
Joe Nelson R 2006 · 3.91 FIP	31	SU	3.91	22.8%	10.4%	2.6%	.258	4.05	23.4%	12.8%	94	+0.14	3.08	139	77
Cody Hall R 2017 · 4.03 FIP	29	SU	4.03	26.8%	10.0%	3.5%	.299	3.92	25.9%	8.4%	19	-0.11	3.51	134	77
Manny Acosta R 2010 · 3.61 FIP	29	SU	3.61	26.8%	10.8%	2.5%	.277	4.12	21.9%	12.6%	94	+0.51	3.08	350	75
Jake Cousins R 2023 · 4.38 FIP	29	SU	4.38	27.3%	11.4%	3.9%	.379	3.42	34.2%	21.9%	38	-0.96	1.11	160	75
Jose Veras R 2010 · 4.10 FIP	29	SU	4.10	26.9%	14.4%	2.6%	.239	3.42	25.3%	14.8%	201	-0.68	3.37	422	75
Jim Miller R 2012 · 4.56 FIP	30	SU	4.56	20.9%	11.8%	3.1%	.243	3.95	18.8%	14.7%	74	-0.61	3.95	140	75
Shintaro Fujinami R 2023 · 4.09 FIP	29	SU	4.09	23.2%	12.3%	2.5%	.290	4.49	22.0%	0.2%	51	+0.40	4.09	130	74
Coleman Huntley III R 2022 · 4.05 FIP	29	SU	4.05	24.4%	10.9%	3.0%	.311	2.38	20.9%	12.6%	25	-1.67	2.38	160	74
Pedro Báez R 2017 · 4.08 FIP	29	SU	4.08	22.9%	9.6%	3.1%	.261	3.18	24.7%	16.1%	143	-0.90	2.29	356	74
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	74
Neil Wagner R 2013 · 4.02 FIP	29	SU	4.02	20.5%	7.5%	3.1%	.306	4.05	19.8%	7.5%	43	+0.03	3.11	135	73
Joe Colón J R 2017 · 4.25 FIP	27	SU	4.25	20.4%	12.1%	2.4%	.315	—	—	—	—	—	3.27	113	73
Ray Black R 2019 · 4.89 FIP	29	SU	4.89	30.8%	13.2%	5.0%	.275	—	—	—	—	—	2.95	150	73
Jacob Barnes R 2019 · 5.09 FIP	29	SU	5.09	21.9%	10.0%	4.7%	.303	3.54	23.1%	15.1%	101	-1.55	1.84	551	72
Diego Moreno R 2016 · 3.75 FIP	29	SU	3.75	21.0%	8.2%	2.5%	.347	3.13	17.8%	11.9%	54	-0.62	2.29	187	72
Wirfin Obispo R 2015 · 4.80 FIP	30	SU	4.80	18.6%	12.2%	3.1%	.292	1.31	28.6%	24.5%	126	-3.49	1.30	218	72
Andrew Robinson R 2017 · 4.32 FIP	29	SU	4.32	23.4%	8.8%	3.8%	.245	—	—	—	—	—	3.19	160	72
Jhan Mariñez R 2018 · 4.09 FIP	29	SU	4.09	21.2%	7.9%	3.2%	.331	—	—	—	—	—	3.16	253	71
Dustin Molleken R 2015 · 3.74 FIP	30	SU	3.74	20.4%	11.7%	1.6%	.287	3.90	20.6%	8.4%	77	+0.16	3.38	129	71

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	1.0	67	24.2%	11.8%	1.34	4.56
Mac Scarce ('72-'78, 1 WAR*)	1.0	52	25.9%*	12.4%*	1.27*	4.17*
J.J. Hoover ('18)	1.4	57	23.8%	11.4%	1.42	4.17
José Ruiz ('25)	1.4	57	22.3%	10.4%	1.44	4.62
Colin Poche ('25)	1.1	54	26.7%	10.2%	1.32	4.01
Ed Glynn ('75-'85, -0 WAR*)	1.3	53	23.5%*	12.9%*	1.22*	4.69*
Fred Lasher ('63-'71, -1 WAR*)	1.0	50	21.5%*	11.9%*	1.05*	4.68*