Hunter Strickland

Hunter Strickland P Salt Lake Bees

Age 37 RHP 6'3" / 225 lbs AAA

2026 FULL-SEASON PROJECTIONpark-neutral Marcel · 54 proj IP

wRC+ AGAINSTvL 125116vR 108

ERA4.47

FIP4.81

K%18.3%

BB%8.8%

K-BB%9.5%

ROS IP54

Value2026 · WAR

Runs saved vs league avg · 54 IP

Grades · Statcast · Arsenal · Contract

Scouting Grades

STUF4545

CTRL4545

CMD4040

K†4545

Statcast Percentiles

FB Velo

p3793.6

Whiff%

p2221.3%

p1015.4%

xwOBA vs

p530.309

SL+2.1 (46%)

FB+1.3 (46%)

SI (11%)

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	26	MIX MLE	2 levels	70	0	73	271	75	12	4	0%	1.0	26.6%	4.5%	22.1%	1.6%	2.22	2.30	+2.0
2015	26	MIX RAW	2 levels	70	0	73	271	75	12	4	0%	1.0	27.7%	4.4%	23.2%	1.5%	2.22	2.25	+2.0
2016	27	MLB MLE	San Francisco Giants	72	0	61	250	57	16	4	0%	0.8	22.8%	6.4%	16.4%	1.7%	3.10	2.93	+1.2
2016	27	MLB RAW	San Francisco Giants	72	0	61	250	57	16	4	0%	0.8	22.8%	6.4%	16.4%	1.6%	3.10	2.87	+1.2
2017	28	MLB MLE	San Francisco Giants	68	0	61	268	58	25	4	0%	0.9	21.6%	9.3%	12.3%	1.6%	2.64	3.34	+0.9
2017	28	MLB RAW	San Francisco Giants	68	0	61	268	58	25	4	0%	0.9	21.6%	9.3%	12.3%	1.5%	2.64	3.28	+0.9
2018	29	MIX MLE	4 levels	55	1	51	223	47	20	6	2%	0.9	18.4%	9.5%	9.0%	2.7%	3.71	4.22	+0.2
2018	29	MIX RAW	4 levels	55	1	51	223	47	20	6	2%	0.9	21.1%	9.0%	12.1%	2.7%	3.71	3.96	+0.4
2019	30	MIX MLE	2 levels	31	0	27	117	22	9	7	0%	0.9	17.1%	7.6%	9.5%	5.7%	5.27	5.75	-0.4
2019	30	MIX RAW	2 levels	31	0	27	117	22	9	7	0%	0.9	18.8%	7.7%	11.1%	6.0%	5.27	5.81	-0.4
2020	31	MLB MLE	New York Mets	4	0	3	16	4	1	0	0%	0.8	25.0%	6.2%	18.8%	0.0%	8.10	1.78	+0.1
2020	31	MLB RAW	New York Mets	4	0	3	16	4	1	0	0%	0.8	25.0%	6.2%	18.8%	0.0%	8.10	1.60	+0.1
2021	32	MLB MLE	Milwaukee Brewers	57	0	59	242	58	22	8	0%	1.0	24.0%	9.1%	14.9%	3.1%	2.61	3.96	+0.4
2021	32	MLB RAW	Milwaukee Brewers	57	0	59	242	58	22	8	0%	1.0	24.0%	9.1%	14.9%	3.3%	2.61	4.02	+0.4
2022	33	MLB MLE	Cincinnati Reds	66	0	62	284	60	32	8	0%	0.9	21.1%	11.3%	9.9%	2.6%	4.91	4.17	+0.3
2022	33	MLB RAW	Cincinnati Reds	66	0	62	284	60	32	8	0%	0.9	21.1%	11.3%	9.9%	2.8%	4.91	4.38	+0.1
2023	34	AAA MLE	Louisville Bats	12	0	11	58	8	11	2	0%	0.9	11.4%	17.1%	-5.6%	3.6%	11.45	6.27	—
2023	34	AAA MLE	Louisville Bats	12	0	11	58	8	11	2	0%	0.9	11.4%	17.1%	-5.6%	3.6%	11.45	6.27	—
2023	34	AAA RAW	Louisville Bats	12	0	11	58	8	11	2	0%	0.9	13.8%	19.0%	-5.2%	3.4%	11.45	7.01	—
2024	35	MIX MLE	2 levels	74	0	75	305	59	24	10	0%	1.0	19.4%	7.8%	11.6%	3.3%	3.58	4.28	+0.2
2024	35	MIX MLE	2 levels	74	0	75	305	59	24	10	0%	1.0	19.4%	7.8%	11.6%	3.3%	3.58	4.28	+0.2
2024	35	MIX RAW	2 levels	74	0	75	305	59	24	10	0%	1.0	19.3%	7.9%	11.5%	3.3%	3.58	4.22	+0.3
2025	36	MIX MLE	2 levels	34	0	40	175	31	17	6	0%	1.2	16.1%	9.2%	6.9%	3.7%	5.13	4.92	-0.2
2025	36	MIX MLE	2 levels	34	0	40	175	31	17	6	0%	1.2	16.1%	9.2%	6.9%	3.7%	5.13	4.92	-0.2
2025	36	MIX RAW	2 levels	34	0	40	175	31	17	6	0%	1.2	17.7%	9.7%	8.0%	3.4%	5.13	4.76	-0.1
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			490	0	463	1942	413	163	51	0%	0.9	21.3%	8.4%	12.9%	2.6%	3.44	3.80	+4.1
▸ 2026 season
YTD	37	AAA MLE	Salt Lake Bees	10	1	12	63	13	5	3	10%	1.2	17.1%	7.1%	10.0%	5.2%	13.14	5.43	—
YTD	37	AAA MLE	Salt Lake Bees	10	1	12	63	13	5	3	10%	1.2	17.1%	7.1%	10.0%	5.2%	13.14	5.43	—
▸ 2026 season — so far · projected rest · full
2026	37	AAA RAW	LAA	10	1	12	63	13	5	3	10%	1.2	20.6%	7.9%	12.7%	4.8%	13.14	4.98	—
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	38	MLB MLE	LAA	45	0	47	198	34	19	7	0%	1.0	17.2%	9.5%	7.7%	3.7%	4.94	5.25	-0.4
2028	39	MLB MLE	LAA	38	0	40	170	27	17	7	0%	1.1	16.0%	10.2%	5.8%	4.1%	5.38	5.68	-0.5
2027	38	MLB CTX	LAA	45	0	47	198	34	19	7	0%	1.0	17.2%	9.5%	7.7%	3.7%	4.94	5.25	-0.4
2028	39	MLB CTX	LAA	38	0	40	169	27	17	7	0%	1.1	16.0%	10.2%	5.8%	4.1%	5.38	5.68	-0.5
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		573	0	550	2309	474	199	65	0%	1.0	20.5%	8.6%	11.9%	2.8%	3.71	4.01	+3.5
/ 200 IP	—	RAW		208	0	200	840	172	72	24	0%	1.0	20.5%	8.6%	11.9%	2.8%	3.71	4.01	+1.3
Career	—	MLE		553	2	537	2272	475	193	63	0%	1.0	20.9%	8.5%	12.4%	2.8%	3.91	3.92	+3.2
/ 200 IP	—	MLE		206	1	200	846	177	72	23	0%	1.0	20.9%	8.5%	12.4%	2.8%	3.91	3.92	+1.1

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 Strickland (OGILVIE)	—	—	4.81	18.3%	8.8%	3.2%	—	5.45	16.6%	6.8%	87	+0.64	—	—	—
Santiago Casilla R 2017 · 4.13 FIP	37	SU	4.13	22.0%	8.1%	3.4%	.289	4.14	16.8%	1.6%	44	+0.01	3.50	219	76
Fernando Rodney R 2015 · 4.37 FIP	38	SU	4.37	20.9%	9.4%	3.4%	.272	3.37	26.2%	15.2%	185	-1.00	2.69	295	75
Rudy Gonzalez R 2017 · 4.72 FIP	36	SU	4.72	15.8%	7.1%	3.8%	.354	—	—	—	—	—	3.31	119	72
Jean Machi R 2017 · 4.12 FIP	35	SU	4.12	18.6%	6.6%	3.2%	.285	—	—	—	—	—	4.12	186	72
Francisco Del Rosario R 2017 · 4.15 FIP	36	SU	4.15	16.4%	10.0%	2.1%	.267	6.35	11.9%	-0.6%	77	+2.20	4.15	145	72
Jason Motte R 2017 · 5.16 FIP	35	SU	5.16	16.3%	11.4%	3.6%	.193	—	—	—	—	—	3.18	113	71
Dustin McGowan R 2017 · 4.58 FIP	35	SU	4.58	19.4%	6.7%	4.2%	.277	—	—	—	—	—	3.82	208	71
Ronald Belisario R 2019 · 4.16 FIP	36	SU	4.16	12.7%	3.9%	3.0%	.322	—	—	—	—	—	2.10	126	68
Felipe Paulino R 2019 · 5.82 FIP	35	SU	5.82	19.2%	9.4%	5.7%	.385	—	—	—	—	—	4.55	150	68
Matt Belisle R 2017 · 3.62 FIP	37	SU	3.62	21.9%	6.5%	2.8%	.241	4.60	15.4%	9.2%	34	+0.98	2.51	174	66
Zack Segovia R 2019 · 4.55 FIP	36	SU	4.55	17.6%	13.6%	2.2%	.353	—	—	—	—	—	3.33	144	66
Matt Bush R 2023 · 3.83 FIP	37	SU	3.83	25.8%	8.7%	3.3%	.225	—	—	—	—	—	2.87	249	65
Salvador Valdez R 2019 · 4.30 FIP	36	SW	4.30	17.1%	8.2%	2.9%	.405	—	—	—	—	—	3.60	326	63
Chien-Ming Wang R 2016 · 4.53 FIP	36	SU	4.53	13.0%	7.8%	2.8%	.305	—	—	—	—	—	4.23	183	63
Joe Blanton R 2017 · 4.94 FIP	36	SU	4.94	20.0%	5.6%	5.1%	.319	—	—	—	—	—	3.01	240	60
Oscar Villarreal R 2017 · 5.36 FIP	35	SU	5.36	8.7%	8.6%	3.5%	.354	—	—	—	—	—	2.53	135	59
Seunghwan Oh R 2019 · 5.75 FIP	37	SU	5.75	18.2%	6.8%	6.0%	.383	—	—	—	—	—	1.87	226	58
Yoshihisa Hirano R 2020 · 5.02 FIP	36	SU	5.02	17.5%	12.7%	3.3%	.381	—	—	—	—	—	3.45	132	47
Sergio Romo R 2020 · 3.77 FIP	37	SU	3.77	26.4%	8.0%	3.4%	.241	4.87	22.0%	14.9%	80	+1.10	1.71	371	46
Jonathan Castellanos R 2019 · 5.24 FIP	37	SW	5.24	11.0%	9.0%	3.5%	.348	—	—	—	—	—	3.40	394	38

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	0.7	47	17.3%	9.4%	1.40	4.88
Alex Young ('23)	1.3	52	19.5%	8.6%	1.61	4.43
Joe Biagini ('19)	1.6	81	19.1%	7.8%	1.28	4.86
José Ruiz ('24)	1.3	52	22.2%	10.4%	1.41	4.41
Roansy Contreras ('24)	1.2	77	19.5%	10.1%	1.36	4.78
Josh Winckowski ('24)	1.2	77	18.3%	8.2%	1.13	4.21
Jharel Cotton ('22)	1.2	58	19.8%	9.2%	1.59	4.50