Chad Kuhl — OGILVIE

Chad Kuhl P Gwinnett Stripers

Age 33 RHP 6'3" / 200 lbs AAA peak 0.5 · 2026

2026 ROS PROJECTION0 act + 3 ip · rates below = ROS only

showingROS

wRC+ AGAINSTvL 121113vR 104

ERA4.99

FIP4.79

K%18.0%

BB%10.5%

K-BB%7.5%

ROS IP3

Value2026 · WAR

Runs saved vs league avg · 3 IP

Grades · Statcast · Arsenal · Contract

Scouting Grades

K†4545

Statcast Percentiles

FB Velo

p5795.0

Whiff%

p6227.1%

p5222.5%

xwOBA vs

p390.325

SL+6.1 (45%)

SI (23%)

CH-1.3 (13%)

CT-3.1 (11%)

FB-6.3 (32%)

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)
2015	22	AA MLE	Altoona Curve	26	26	153	620	101	41	10	100%	5.9	13.2%	7.3%	5.9%	2.1%	2.48	4.07	—
2015	22	AA RAW	Altoona Curve	26	26	153	620	101	41	10	100%	5.9	16.3%	6.6%	9.7%	1.6%	2.48	3.43	—
2016	23	MIX MLE	2 levels	30	30	154	640	119	36	16	100%	5.1	17.4%	5.8%	11.6%	2.8%	3.21	3.92	+1.8
2016	23	MIX RAW	2 levels	30	30	154	640	119	36	16	100%	5.1	18.6%	5.6%	13.0%	2.5%	3.21	3.61	+2.4
2017	24	MLB MLE	Pittsburgh Pirates	31	31	157	680	142	65	17	100%	5.1	20.9%	9.6%	11.3%	2.7%	4.35	4.03	+1.6
2017	24	MLB RAW	Pittsburgh Pirates	31	31	157	680	142	65	17	100%	5.1	20.9%	9.6%	11.3%	2.5%	4.35	3.94	+1.8
2018	25	MLB MLE	Pittsburgh Pirates	16	16	85	373	81	32	14	100%	5.3	21.7%	8.6%	13.1%	4.1%	4.55	4.58	+0.3
2018	25	MLB RAW	Pittsburgh Pirates	16	16	85	373	81	32	14	100%	5.3	21.7%	8.6%	13.1%	3.8%	4.55	4.46	+0.4
2020	27	MLB MLE	Pittsburgh Pirates	11	9	46	197	44	28	8	82%	4.2	22.3%	14.2%	8.1%	4.4%	4.27	5.42	-0.3
2020	27	MLB RAW	Pittsburgh Pirates	11	9	46	197	44	28	8	82%	4.2	22.3%	14.2%	8.1%	4.1%	4.27	5.26	-0.2
2021	28	MIX MLE	2 levels	30	16	87	373	84	45	13	53%	2.9	21.5%	12.0%	9.5%	4.0%	4.57	5.02	-0.1
2021	28	MIX RAW	2 levels	30	16	87	373	84	45	13	53%	2.9	22.5%	12.1%	10.5%	3.5%	4.57	4.67	+0.2
2022	29	MIX MLE	2 levels	28	28	142	638	116	61	25	100%	5.1	17.8%	9.2%	8.6%	3.6%	5.51	4.74	+0.3
2022	29	MIX RAW	2 levels	28	28	142	638	116	61	25	100%	5.1	18.2%	9.6%	8.6%	3.9%	5.51	5.04	-0.2
2023	30	MLB MLE	Washington Nationals	16	5	38	187	31	26	8	31%	2.4	16.6%	13.9%	2.7%	4.3%	8.45	5.81	-0.6
2023	30	MLB MLE	Washington Nationals	16	5	38	187	31	26	8	31%	2.4	16.6%	13.9%	2.7%	4.3%	8.45	5.81	-0.6
2023	30	MLB RAW	Washington Nationals	16	5	38	187	31	26	8	31%	2.4	16.6%	13.9%	2.7%	4.3%	8.45	6.23	-0.7
2024	31	MIX MLE	2 levels	44	12	109	483	96	57	10	27%	2.5	18.4%	11.1%	7.3%	2.1%	4.69	4.13	+0.5
2024	31	MIX MLE	2 levels	44	12	109	483	96	57	10	27%	2.5	18.4%	11.1%	7.3%	2.1%	4.69	4.13	+0.5
2024	31	MIX RAW	2 levels	44	12	109	483	96	57	10	27%	2.5	19.9%	11.8%	8.1%	2.1%	4.69	4.10	+0.6
2025	32	AAA MLE	Gwinnett Stripers	7	3	22	105	18	12	2	43%	3.1	14.2%	10.3%	3.9%	2.2%	6.55	4.40	—
2025	32	AAA MLE	Gwinnett Stripers	7	3	22	105	18	12	2	43%	3.1	14.2%	10.3%	3.9%	2.2%	6.55	4.40	—
2025	32	AAA RAW	Gwinnett Stripers	7	3	22	105	18	12	2	43%	3.1	17.1%	11.4%	5.7%	1.9%	6.55	4.28	—
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			174	117	668	2944	590	294	97	67%	3.8	20.0%	10.0%	10.1%	3.3%	4.98	4.54	+2.8
▸ 2026 season — projected remainder (no 2026 stats recorded)
2026	33	MLB	ATL	1	1	3	13	2	1	0	100%	3.0	18.0%	10.5%	7.5%	2.7%	4.99	4.79	+0.0
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	34	MLB MLE	ATL	6	6	38	160	27	18	5	100%	6.3	17.1%	11.0%	6.1%	3.0%	5.05	5.09	-0.1
2027	34	MLB CTX	ATL	6	6	38	160	27	18	5	100%	6.3	17.1%	11.0%	6.1%	3.0%	5.05	5.09	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		180	123	706	3104	617	312	102	68%	3.9	19.9%	10.0%	9.9%	3.3%	4.99	4.49	+3.4
/ 200 IP	—	RAW		51	35	200	879	175	88	29	68%	3.9	19.9%	10.0%	9.9%	3.3%	4.99	4.49	+1.0
Career	—	MLE		239	176	994	4296	789	401	132	74%	4.2	18.4%	9.3%	9.0%	3.1%	4.33	4.42	+2.7
/ 200 IP	—	MLE		48	35	200	864	159	81	27	74%	4.2	18.4%	9.3%	9.0%	3.1%	4.33	4.42	+0.8

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
Chad Kuhl (OGILVIE)	—	—	4.79	18.0%	10.5%	2.7%	—	5.09	17.1%	6.1%	38	+0.30	—	—	—
Jair Jurrjens R 2017 · 4.27 FIP	31	SP	4.27	16.3%	7.9%	2.8%	.335	—	—	—	—	—	4.27	125	73
Deck McGuire R 2022 · 5.12 FIP	33	SP-	5.12	15.7%	13.1%	3.1%	.279	—	—	—	—	—	3.41	622	71
Miguel Ruiz R 2017 · 5.60 FIP	31	SP	5.60	10.6%	11.0%	3.6%	.279	—	—	—	—	—	5.60	117	71
Marco Quevedo R 2019 · 5.17 FIP	32	SP-	5.17	13.6%	11.4%	3.2%	.344	—	—	—	—	—	4.13	300	70
Edwin Jackson R 2017 · 5.02 FIP	33	SP-	5.02	18.7%	9.5%	4.2%	.278	5.25	16.9%	6.9%	252	+0.23	3.77	521	70
Andres Ivan Meza R 2019 · 4.33 FIP	32	SP	4.33	11.7%	7.7%	2.3%	.349	—	—	—	—	—	4.14	275	69
Brandon McCarthy R 2016 · 4.84 FIP	33	SP	4.84	22.5%	11.5%	4.0%	.288	3.82	19.0%	12.4%	171	-1.02	3.09	248	68
Guillermo Moscoso R 2017 · 3.77 FIP	33	SP	3.77	14.5%	6.9%	1.8%	.270	4.64	14.9%	7.5%	176	+0.87	3.77	264	68
Matt Garza R 2017 · 4.57 FIP	33	SP	4.57	15.7%	8.1%	3.2%	.283	—	—	—	—	—	4.00	365	68
Roberto Hernandez R 2015 · 4.38 FIP	34	SP-	4.38	11.8%	6.7%	2.6%	.287	4.38	13.8%	6.8%	86	+0.00	4.38	171	67
Jason Berken R 2016 · 4.54 FIP	32	SW	4.54	11.5%	8.3%	2.5%	.308	—	—	—	—	—	4.34	219	66
Juan Delgadillo R 2015 · 4.54 FIP	32	SP	4.54	15.5%	7.2%	3.3%	.316	4.47	10.9%	4.7%	39	-0.07	4.47	143	66
Mike Pelfrey R 2017 · 5.69 FIP	33	SP-	5.69	14.5%	10.6%	4.5%	.266	—	—	—	—	—	3.70	404	66
Jerome Williams R 2015 · 4.72 FIP	33	SP-	4.72	13.4%	5.6%	3.7%	.326	5.81	11.7%	5.6%	74	+1.09	4.72	195	65
Tim Lincecum R 2016 · 4.88 FIP	32	SP	4.88	17.9%	10.4%	3.6%	.351	5.87	14.4%	-1.1%	13	+0.99	4.20	166	65
Stephen Fife R 2018 · 3.77 FIP	31	SP	3.77	12.5%	5.1%	2.0%	.374	—	—	—	—	—	3.11	179	65
Kameron Loe R 2016 · 3.84 FIP	34	SP	3.84	11.9%	5.3%	2.0%	.356	3.38	17.1%	9.1%	133	-0.46	3.38	201	65
Sergio Valenzuela R 2017 · 5.66 FIP	32	SP	5.66	10.6%	6.5%	4.8%	.355	—	—	—	—	—	3.66	244	64
Leo Medrano R 2016 · 4.34 FIP	33	SP	4.34	11.0%	7.3%	2.3%	.312	—	—	—	—	—	3.76	222	64
Dillon Gee R 2017 · 3.85 FIP	31	SP-	3.85	18.0%	5.9%	2.8%	.302	—	—	—	—	—	3.67	380	64

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	0.4	40	17.6%	10.8%	1.11	5.02
Roansy Contreras ('24)	1.2	77	19.5%	10.1%	1.36	4.78
José Ruiz ('24)	1.3	52	22.2%	10.4%	1.41	4.41
Josh Winckowski ('24)	1.2	77	18.3%	8.2%	1.13	4.21
Joe Biagini ('19)	1.6	81	19.1%	7.8%	1.28	4.86
Robert Gsellman ('21)	1.7	67	18.4%	7.8%	0.96	4.38
Jacob Barnes ('24)	1.5	42	22.1%	9.6%	1.21	4.58