K.C. Hunt

P Durham Bulls

Age 27 RHP 6'3" / 200 lbs AAA peak 0.1 · 2027

Overview

AAAPROSPECT

ETA2029MLB%2%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	24	MIX3 levels	25	14	102	2.03	1.87	34.7%	6.2%	—	K 26.8% · BB 7.1% · FIP 2.69
2025	25	AAMIL	26	26	121	4.45	3.73	23.8%	8.2%	—	K 19.3% · BB 9.0% · FIP 4.26
2026	26	MIX3 levels	27	5	70	4.63	5.74	19.0%	14.4%	—	K 14.0% · BB 14.8% · FIP 6.22
2027PROJ	27	MLBTB	1	0	1	5.36	5.36	16.3%	11.3%	-0.0
2028PROJ38% MLB	28	MLBTB	20	0	21	5.31	5.34	16.9%	11.3%	-0.2
2029PROJ56% MLB	29	MLBTB	25	0	26	5.33	5.40	17.1%	11.3%	-0.2

Next 3 projected WAR -0.4Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Scouting grades · 20-80

Stuff45Control50Command50

Career WAR0.0 WAR median (P10 -0.1 / P90 0.1, comp-based) · star 0% · didn't stick 96%

CompsDennis O'Grady (age 26) · Nolan Sanburn (age 26) · Aaron Northcraft (age 26)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 135127vR 119

ERA5.36

FIP5.36

K%16.3%

BB%11.3%

K-BB%5.0%

Proj IP70

Value2027 · WAR

Runs saved vs league avg · 70 IP

Grades · Contract

Scouting Grades

STUF4545

CTRL5050

CMD5050

K†4040

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)
2023	23	ROK MLE	ACL Brewers	4	0	4	21	5	2	0	0%	1.1	23.8%	9.5%	14.3%	0.0%	4.15	2.30	—
2023	23	ROK RAW	ACL Brewers	4	0	4	21	5	2	0	0%	1.1	23.8%	9.5%	14.3%	0.0%	4.15	2.18	—
2024	24	MIX MLE	3 levels	25	14	102	401	139	25	6	56%	4.1	26.8%	7.1%	19.8%	1.7%	2.03	2.69	—
2024	24	MIX MLE	3 levels	25	14	102	401	139	25	6	56%	4.1	26.8%	7.1%	19.8%	1.7%	2.03	2.69	—
2024	24	MIX RAW	3 levels	25	14	102	401	139	25	6	56%	4.1	34.7%	6.2%	28.4%	1.5%	2.03	1.87	—
2025	25	AA MLE	Biloxi Shuckers	26	26	121	513	122	42	15	100%	4.7	19.3%	9.0%	10.3%	3.0%	4.45	4.26	—
2025	25	AA MLE	Biloxi Shuckers	26	26	121	513	122	42	15	100%	4.7	19.3%	9.0%	10.3%	3.0%	4.45	4.26	—
2025	25	AA RAW	Biloxi Shuckers	26	26	121	513	122	42	15	100%	4.7	23.8%	8.2%	15.6%	2.9%	4.45	3.73	—
2026	26	MIX MLE	3 levels	27	5	70	305	58	44	13	19%	2.6	14.0%	14.8%	-0.7%	4.4%	4.63	6.22	—
2026	26	MIX MLE	3 levels	27	5	70	305	58	44	13	19%	2.6	14.0%	14.8%	-0.7%	4.4%	4.63	6.22	—
2026	26	MIX RAW	3 levels	27	5	70	305	58	44	13	19%	2.6	19.0%	14.4%	4.6%	4.3%	4.63	5.74	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	27	MLB	TB	1	0	1	4	1	0	0	0%	1.0	16.3%	11.3%	5.0%	3.3%	5.36	5.36	-0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	28	MLB MLE	TB	53	0	55	233	39	26	8	0%	1.0	16.9%	11.3%	5.6%	3.4%	5.31	5.34	-0.5
2029	29	MLB MLE	TB	45	0	48	201	34	23	7	0%	1.1	17.1%	11.3%	5.8%	3.5%	5.33	5.40	-0.4
2028	28	MLB CTX	TB	20	0	21	89	15	10	3	0%	1.1	16.9%	11.3%	5.6%	3.4%	5.31	5.34	-0.2
2029	29	MLB CTX	TB	25	0	26	110	19	12	4	0%	1.0	17.1%	11.3%	5.8%	3.5%	5.33	5.40	-0.2
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		45	0	47	199	34	23	7	0%	1.0	17.0%	11.3%	5.7%	3.5%	5.32	5.00	-0.2
/ 200 IP	—	RAW		190	0	200	844	144	97	30	0%	1.1	17.0%	11.3%	5.7%	3.5%	5.32	5.00	-1.0
Career	—	MLE		82	45	298	1240	254	122	36	55%	3.6	20.5%	9.8%	10.7%	2.9%	3.66	4.20	+0.0
/ 200 IP	—	MLE		55	30	200	833	171	82	24	55%	3.6	20.5%	9.8%	10.7%	2.9%	3.66	4.20	+0.1

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 AAADurham Bulls · 30 IPFIP 6.59 → 6.74 (+0.16)K% 13.9% → 11.9%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	13.89%	—	×0.860	11.94%
BB% (unintentional) /BF	18.75%	—	×0.900	16.88%
HR / BF /BF	4.17%	÷1.000	×1.100	4.58%

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 6.59 → 6.74, 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).

2026 AAMontgomery Biscuits · 35 IPFIP 4.82 → 5.68 (+0.86)K% 20.0% → 16.2%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	20.00%	—	×0.810	16.20%
BB% (unintentional) /BF	11.43%	—	×1.100	12.57%
HR / BF /BF	3.57%	÷1.000	×1.200	4.29%

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 100).

Result: FIP 4.82 → 5.68, 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).

2026 A+Bowling Green Hot Rods · 5 IPFIP 4.91 → 7.23 (+2.32)K% 47.6% → 36.7%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	47.62%	—	×0.770	36.67%
BB% (unintentional) /BF	4.76%	—	×1.150	5.48%
HR / BF /BF	9.52%	÷1.000	×1.250	11.90%

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 100).

Result: FIP 4.91 → 7.23, 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).

2025 AABiloxi Shuckers · 121 IPFIP 3.73 → 4.26 (+0.53)K% 23.8% → 19.3%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	23.78%	—	×0.810	19.26%
BB% (unintentional) /BF	8.19%	—	×1.100	9.01%
HR / BF /BF	2.92%	÷1.170	×1.200	3.00%

Result: FIP 3.73 → 4.26, 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 A+Wisconsin Timber Rattlers · 50 IPFIP 1.80 → 2.81 (+1.01)K% 34.3% → 26.4%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	34.34%	—	×0.770	26.44%
BB% (unintentional) /BF	6.06%	—	×1.150	6.97%
HR / BF /BF	1.52%	÷0.979	×1.250	1.93%

Result: FIP 1.80 → 2.81, 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 AABiloxi Shuckers · 33 IPFIP 2.29 → 2.86 (+0.57)K% 29.8% → 24.1%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	29.77%	—	×0.810	24.11%
BB% (unintentional) /BF	6.87%	—	×1.100	7.56%
HR / BF /BF	1.53%	÷1.198	×1.200	1.53%

Result: FIP 2.29 → 2.86, 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 ACarolina Mudcats · 19 IPFIP 0.81 → 2.05 (+1.24)K% 44.4% → 32.9%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	44.44%	—	×0.740	32.89%
BB% (unintentional) /BF	5.56%	—	×1.180	6.56%
HR / BF /BF	1.39%	÷1.101	×1.300	1.64%

Factors used: pitcher A level factors — K ×0.74, BB ×1.18, HR ×1.30. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 120).

Result: FIP 0.81 → 2.05, 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 ROKACL Brewers · 4 IPFIP 2.30 → 3.24 (+0.94)K% 23.8% → 16.2%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	23.81%	—	×0.680	16.19%
BB% (unintentional) /BF	9.52%	—	×1.250	11.90%
HR / BF /BF	0.00%	÷0.898	×1.400	0.00%

Factors used: pitcher ROK level factors — K ×0.68, BB ×1.25, HR ×1.40. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 80).

Result: FIP 2.30 → 3.24, 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
K.C. Hunt (OGILVIE)	—	—	5.36	16.3%	11.3%	3.3%	—	5.37	17.0%	5.7%	103	+0.01	—	—	—
Dennis O'Grady R 2015 · 4.95 FIP	26	SW	4.95	13.5%	11.0%	2.9%	.339	—	—	—	—	—	3.62	157	84
Nolan Sanburn R 2017 · 4.55 FIP	26	SW	4.55	15.0%	10.4%	2.5%	.310	—	—	—	—	—	3.82	169	83
Aaron Northcraft R 2016 · 4.19 FIP	26	SW	4.19	16.1%	8.3%	2.5%	.309	3.32	24.1%	13.4%	34	-0.87	3.32	252	82
Josh Roeder R 2019 · 4.71 FIP	26	SW	4.71	15.1%	8.7%	3.3%	.264	—	—	—	—	—	4.71	175	82
Mike Connolly R 2018 · 5.13 FIP	26	SW	5.13	13.2%	9.4%	3.5%	.321	—	—	—	—	—	3.94	328	81
Alfonso Sanchez R 2015 · 4.96 FIP	27	SP-	4.96	12.5%	9.1%	3.2%	.346	4.85	14.0%	5.3%	138	-0.11	4.51	224	81
Bryce Morrow R 2015 · 4.31 FIP	27	SP-	4.31	12.8%	7.9%	2.4%	.316	5.44	10.1%	-0.2%	50	+1.13	4.31	125	80
Colby Morris R 2022 · 5.76 FIP	25	SW	5.76	16.2%	11.8%	4.6%	.268	—	—	—	—	—	4.11	105	80
Dakota Hawkins R 2024 · 4.31 FIP	24	SW	4.31	16.3%	8.9%	2.7%	.277	4.32	19.4%	10.4%	102	+0.01	3.50	186	79
Lisalverto Bonilla R 2017 · 4.61 FIP	27	SW	4.61	18.2%	10.5%	3.1%	.304	4.70	15.8%	3.2%	11	+0.09	3.22	242	79
Chris Jensen R 2018 · 5.31 FIP	27	SW	5.31	12.0%	10.6%	3.4%	.347	—	—	—	—	—	4.47	488	79
Cameron Foster R 2024 · 4.83 FIP	25	SW	4.83	17.4%	11.5%	3.2%	.321	3.09	25.5%	17.5%	60	-1.74	2.50	213	79
Orlando Rodriguez R 2023 · 4.67 FIP	27	SW	4.67	13.7%	10.6%	2.5%	.252	—	—	—	—	—	4.40	119	78
Tyler Yates R 2004 · 4.47 FIP	26	SW	4.47	15.4%	9.6%	2.6%	.333	3.64	22.5%	13.5%	116	-0.83	3.23	248	78
Clay Condrey R 2003 · 5.41 FIP	27	SP-	5.41	14.9%	10.1%	4.2%	.303	4.07	13.1%	7.4%	29	-1.34	3.18	250	77
Danny Kirwin R 2024 · 4.19 FIP	24	SW	4.19	17.9%	9.9%	2.4%	.262	5.33	16.8%	4.6%	91	+1.14	4.16	161	77
Aldo Montes R 2017 · 4.96 FIP	27	SP-	4.96	12.4%	8.5%	3.3%	.322	4.69	18.2%	7.6%	75	-0.27	4.69	210	76
Edgar Alberto Garcia R 2015 · 5.24 FIP	27	SP-	5.24	11.6%	9.8%	3.4%	.263	4.28	15.3%	5.2%	167	-0.96	4.01	272	76
David Griffin R 2023 · 5.83 FIP	27	SP-	5.83	14.2%	9.2%	5.0%	.306	—	—	—	—	—	4.43	239	76
Grant Judkins R 2024 · 5.13 FIP	26	SW	5.13	16.8%	9.1%	4.2%	.264	5.80	14.9%	5.8%	124	+0.67	5.13	322	76

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	0.9	58	16.7%	11.3%	1.32	5.34
Brian Stokes ('10)	1.0	52	14.5%	10.1%	1.22	5.27
Valerio De Los Santos ('08)	1.3	51	18.7%	11.5%	1.30	4.57
Scott Proctor ('11)	1.7	57	19.0%	10.9%	1.52	4.78
Daryl Patterson ('68-'74, -1 WAR*)	1.2	46	18.3%*	11.2%*	1.27*	5.03*
Bill Wilson ('69-'73, -0 WAR*)	1.3	52	20.3%*	11.5%*	1.13*	4.84*
Bob Macdonald ('90-'96, 1 WAR*)	1.2	59	18.3%*	9.8%*	1.20*	4.32*