Kenya Huggins — OGILVIE

Kenya Huggins P Midland RockHounds

Age 23 RHP 6'3" / 215 lbs AA Svc 0.0 · Ctrl thru 2032 peak 1.0 · 2029

2026 ROS PROJECTION89 act + 5 ip · rates below = ROS only

showingROS

wRC+ AGAINSTvL 128120vR 112

ERA5.00

FIP5.00

K%18.2%

BB%11.8%

K-BB%6.4%

ROS IP5

Value2026 · WAR

Runs saved vs league avg · 95 IP

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control+$1M ctrl surplus

Grades · Contract

Scouting Grades

OFP—40

STUF4550

CTRL—40

CMD4555

K†4555

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

Status MiLB

MLB Debut 2027

Service 0 yrs (est)

Team Control Through 2032

First FA Year 2033

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2027
2027	Pre-Arb	$0.8M	+0.1	$0.4M	+$0.0M (cut)
2028	Pre-Arb	$0.8M	+0.3	$1M	+$0.4M
2029	Pre-Arb	$0.8M	+0.3	$1.0M	+$0.3M
2030	Arb-1	$2M	+0.3	$0.9M	+$0.0M (cut)
2031	Arb-2	$3M	+0.3	$0.8M	+$0.0M (cut)
2032	Arb-3	$3M	+0.1	$0.3M	+$0.0M (cut)
Totals		$2M		$4M	+$0.7M

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	19	ROK MLE	ACL Reds	1	1	1	5	3	0	1	100%	1.0	60.0%	0.0%	60.0%	20.0%	0.00	9.01	—
2022	19	ROK RAW	ACL Reds	1	1	1	5	3	0	1	100%	1.0	60.0%	0.0%	60.0%	20.0%	0.00	10.10	—
2023	20	A MLE	Daytona Tortugas	14	6	35	164	43	22	1	43%	2.5	19.4%	15.8%	3.6%	0.7%	4.67	3.88	—
2023	20	A MLE	Daytona Tortugas	14	6	35	164	43	22	1	43%	2.5	19.4%	15.8%	3.6%	0.7%	4.67	3.88	—
2023	20	A RAW	Daytona Tortugas	14	6	35	164	43	22	1	43%	2.5	26.2%	13.4%	12.8%	0.6%	4.67	2.90	—
2024	21	A MLE	Daytona Tortugas	4	0	8	28	7	3	0	0%	2.0	25.0%	10.7%	14.3%	0.0%	1.12	2.35	—
2024	21	A MLE	Daytona Tortugas	4	0	8	28	7	3	0	0%	2.0	25.0%	10.7%	14.3%	0.0%	1.12	2.35	—
2024	21	A RAW	Daytona Tortugas	4	0	8	28	7	3	0	0%	2.0	25.0%	10.7%	14.3%	0.0%	1.12	2.48	—
2025	22	MIX MLE	2 levels	24	21	78	317	72	32	5	88%	3.2	16.9%	11.9%	5.1%	2.0%	3.81	4.29	—
2025	22	MIX MLE	2 levels	24	21	78	317	72	32	5	88%	3.2	16.9%	11.9%	5.1%	2.0%	3.81	4.29	—
2025	22	MIX RAW	2 levels	24	21	78	317	72	32	5	88%	3.2	22.7%	10.1%	12.6%	1.6%	3.81	3.32	—
▸ 2026 season
YTD	23	AA MLE	Midland RockHounds	30	10	89	423	99	49	7	33%	3.0	19.0%	12.7%	6.2%	2.0%	6.35	4.20	—
YTD	23	AA MLE	Midland RockHounds	30	10	89	423	99	49	7	33%	3.0	19.0%	12.7%	6.2%	2.0%	6.35	4.20	—
▸ 2026 season — so far · projected rest · full
2026	23	AA RAW	OAK	30	10	89	423	99	49	7	33%	3.0	23.4%	11.6%	11.8%	1.7%	6.35	3.50	—
ROS	23	MLB MLE	OAK	5	0	5	22	4	3	1	0%	1.0	18.2%	11.8%	6.4%	2.8%	5.00	5.00	-0.0
2026 TOT	23	MLB MLE	OAK	—	—	95	445	103	52	8	—	—	23.1%	11.6%	11.6%	1.7%	6.27	4.25	+0.7
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	24	MLB MLE	OAK	15	15	90	379	74	40	11	100%	6.0	19.6%	10.5%	9.1%	2.8%	4.80	4.71	+0.2
2028	25	MLB MLE	OAK	15	15	91	383	78	37	11	100%	6.1	20.3%	9.7%	10.7%	2.8%	4.63	4.54	+0.4
2029	26	MLB MLE	OAK	15	15	91	383	79	37	11	100%	6.1	20.7%	9.6%	11.2%	2.8%	4.55	4.50	+0.4
2030	27	MLB MLE	OAK	15	15	89	377	78	36	11	100%	6.0	20.8%	9.6%	11.2%	2.9%	4.53	4.53	+0.4
2031	28	MLB MLE	OAK	14	14	87	366	75	36	11	100%	6.2	20.6%	9.7%	10.9%	3.0%	4.58	4.61	+0.3
2032	29	MLB MLE	OAK	14	14	83	350	71	35	11	100%	5.9	20.4%	10.0%	10.4%	3.1%	4.68	4.74	+0.2
2033	30	MLB MLE	OAK	13	13	78	328	72	31	11	100%	6.0	22.0%	9.4%	12.6%	3.3%	4.66	4.65	+0.2
2034	31	MLB MLE	OAK	12	12	72	306	66	30	11	100%	6.0	21.6%	9.8%	11.8%	3.6%	4.78	4.85	+0.0
2027	24	MLB CTX	OAK	7	7	39	165	32	17	5	100%	5.6	19.6%	10.5%	9.1%	2.8%	4.76	4.67	+0.1
2028	25	MLB CTX	OAK	10	10	61	258	52	25	7	100%	6.1	20.3%	9.7%	10.7%	2.8%	4.59	4.50	+0.3
2029	26	MLB CTX	OAK	12	12	72	304	63	29	8	100%	6.0	20.7%	9.6%	11.2%	2.8%	4.51	4.46	+0.3
2030	27	MLB CTX	OAK	13	13	76	321	67	31	9	100%	5.8	20.8%	9.6%	11.2%	2.8%	4.49	4.49	+0.3
2031	28	MLB CTX	OAK	13	13	77	325	67	32	9	100%	5.9	20.6%	9.7%	10.9%	2.9%	4.54	4.57	+0.3
2032	29	MLB CTX	OAK	12	12	75	317	65	32	10	100%	6.2	20.4%	10.0%	10.4%	3.1%	4.64	4.70	+0.1
2033	30	MLB CTX	OAK	12	12	72	304	67	29	10	100%	6.0	22.0%	9.4%	12.6%	3.3%	4.61	4.60	+0.2
2034	31	MLB CTX	OAK	11	11	68	287	62	28	10	100%	6.2	21.6%	9.8%	11.8%	3.5%	4.73	4.80	+0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		91	90	541	2282	475	222	68	99%	5.9	20.8%	9.7%	11.1%	3.0%	4.60	4.22	+4.4
/ 200 IP	—	RAW		34	33	200	844	176	82	25	100%	6.0	20.8%	9.7%	11.1%	3.0%	4.60	4.22	+1.6
Career	—	MLE		73	38	211	937	176	120	17	52%	2.9	18.8%	12.9%	5.9%	1.8%	4.91	4.15	+2.1
/ 200 IP	—	MLE		69	36	200	888	167	114	16	52%	2.9	18.8%	12.9%	5.9%	1.8%	4.91	4.15	+0.6

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
Kenya Huggins (OGILVIE)	—	—	5.00	18.2%	11.8%	2.8%	—	4.58	20.2%	10.3%	271	-0.42	—	—	—
Cade Winquest R 2023 · 4.37 FIP	23	SP-	4.37	17.9%	12.0%	2.3%	.299	3.74	20.8%	10.5%	175	-0.63	3.11	252	93
Noah Skirrow R 2021 · 4.55 FIP	23	SP-	4.55	18.4%	11.5%	2.8%	.306	4.72	16.0%	6.0%	316	+0.17	3.97	371	92
Patrick Halligan R 2023 · 4.43 FIP	23	SW	4.43	18.8%	11.6%	2.6%	.330	3.73	25.0%	14.9%	174	-0.70	2.47	304	91
Anyelo Gómez R 2016 · 4.66 FIP	23	SW	4.66	17.1%	12.2%	2.7%	.292	2.66	24.2%	15.6%	68	-2.00	2.66	145	89
John Matthews R 2021 · 4.87 FIP	23	SW	4.87	18.6%	10.4%	3.7%	.351	4.75	15.5%	1.6%	145	-0.12	4.51	213	88
Houston Roth R 2021 · 4.63 FIP	23	SW	4.63	16.4%	10.5%	2.9%	.263	4.83	20.8%	8.3%	228	+0.20	3.79	406	87
Ray Gaither R 2022 · 4.85 FIP	24	SP-	4.85	21.9%	13.2%	3.5%	.314	4.38	17.8%	5.3%	123	-0.47	3.90	164	84
Jake Christianson R 2023 · 4.00 FIP	23	SW	4.00	17.9%	10.1%	2.1%	.309	4.72	16.4%	6.1%	105	+0.72	4.00	188	84
Hunter Adkins R 2016 · 4.64 FIP	25	SW	4.64	16.2%	10.3%	2.9%	.290	4.82	11.8%	0.5%	58	+0.18	4.64	160	82
Michael Santos R 2018 · 4.41 FIP	23	SW	4.41	17.4%	9.1%	2.9%	.289	4.87	15.0%	6.4%	49	+0.46	2.26	276	82
Matt Marsh R 2015 · 4.14 FIP	24	SW	4.14	15.5%	10.7%	1.8%	.275	3.65	20.5%	11.4%	70	-0.49	3.13	143	82
Devereaux Harrison R 2023 · 5.04 FIP	22	SP-	5.04	17.6%	11.3%	3.6%	.252	4.76	16.6%	4.4%	294	-0.28	4.43	388	82
Chris Campos R 2023 · 4.91 FIP	22	SP-	4.91	21.0%	11.8%	3.8%	.364	4.57	18.7%	11.7%	237	-0.34	4.54	306	82
Shohei Tomioka R 2021 · 4.00 FIP	25	SW	4.00	18.9%	9.0%	2.5%	.311	4.40	17.2%	4.0%	141	+0.40	3.65	299	82
Zach Linginfelter R 2021 · 5.53 FIP	24	SP-	5.53	19.1%	16.0%	3.7%	.295	5.01	18.8%	-0.6%	46	-0.52	3.62	109	82
Yaisel Sierra R 2016 · 4.32 FIP	25	SW	4.32	16.9%	8.6%	2.8%	.338	3.04	22.4%	12.3%	71	-1.28	3.04	176	81
James McArthur R 2019 · 5.04 FIP	22	SP-	5.04	18.8%	15.5%	2.9%	.304	4.41	20.0%	10.7%	131	-0.63	3.53	352	81
Ben Ethridge R 2023 · 4.45 FIP	22	SP-	4.45	14.4%	13.2%	1.7%	.250	6.04	13.0%	2.0%	66	+1.59	4.45	144	81
Cooper Chandler R 2023 · 4.33 FIP	24	SP-	4.33	17.8%	9.3%	2.9%	.300	3.78	23.5%	17.1%	18	-0.55	3.78	107	81
Grant Ford R 2021 · 5.78 FIP	23	SW	5.78	20.1%	13.2%	4.9%	.300	4.61	19.0%	4.5%	112	-1.17	3.83	188	81

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	3.7	82	20.5%	10.0%	1.17	4.68
Daniel Norris ('22)	2.8	70	21.7%	8.5%	1.37	4.70
Chad Kuhl ('24)	3.3	84	20.0%	10.4%	1.31	4.98
Junior Guerra ('21)	2.5	84	21.3%	11.0%	1.16	4.04
Buck Farmer ('24)	2.5	50	21.6%	10.5%	1.23	4.59
Matt Wisler ('22)	2.5	63	20.1%	7.6%	1.40	4.59
Luis Cessa ('23)	2.1	53	18.3%	7.8%	1.40	4.43