Preston Howey

P West Michigan Whitecaps

Age 25 RHP 5'10" / 175 lbs A+

Overview

A+PROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	22	ADET	1	0	2	5.40	5.50	11.1%	22.2%	—	K 11.1% · BB 22.2% · FIP 4.98
2025	23	A+DET	32	9	62	3.19	3.49	19.4%	10.9%	—	K 14.9% · BB 12.5% · FIP 4.40
2026	24	MIX2 levels	24	1	46	7.63	6.10	17.2%	10.7%	—	K 12.7% · BB 10.7% · FIP 7.16
2027PROJ	25	MLBDET	57	0	60	5.91	5.91	12.7%	13.0%	-0.9
2028PROJ43% MLB	26	MLBDET	25	0	26	5.70	5.67	14.7%	12.6%	-0.3
2029PROJ63% MLB	27	MLBDET	35	0	37	5.60	5.60	15.4%	12.4%	-0.4

Next 3 projected WAR -1.6Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Scouting grades · 20-80

Stuff35Control40Command35

Career WAR0 WAR median (P10 0 / P90 0, comp-based) · star 0% · didn't stick 99%

CompsClate Schmidt (age 25) · Conner O'Neil (age 24) · Zach Nuding (age 25)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 145137vR 129

ERA5.91

FIP5.91

K%12.7%

BB%13.0%

K-BB%-0.3%

Proj IP60

Value2027 · WAR

Runs saved vs league avg · 60 IP

Grades · Contract

Scouting Grades

STUF3535

CTRL4040

CMD3535

K†3030

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 + 2027 so far)
2024	22	A MLE	Lakeland Flying Tigers	1	0	2	9	1	2	0	0%	1.7	11.1%	22.2%	-11.1%	0.0%	5.40	4.98	—
2024	22	A MLE	Lakeland Flying Tigers	1	0	2	9	1	2	0	0%	1.7	11.1%	22.2%	-11.1%	0.0%	5.40	4.98	—
2024	22	A RAW	Lakeland Flying Tigers	1	0	2	9	1	2	0	0%	1.7	11.1%	22.2%	-11.1%	0.0%	5.40	5.50	—
2025	23	A+ MLE	West Michigan Whitecaps	32	9	62	248	48	27	3	28%	1.9	14.9%	12.5%	2.4%	1.8%	3.19	4.40	—
2025	23	A+ MLE	West Michigan Whitecaps	32	9	62	248	48	27	3	28%	1.9	14.9%	12.5%	2.4%	1.8%	3.19	4.40	—
2025	23	A+ RAW	West Michigan Whitecaps	32	9	62	248	48	27	3	28%	1.9	19.4%	10.9%	8.5%	1.2%	3.19	3.49	—
2026	24	MIX MLE	2 levels	24	1	46	215	37	23	11	4%	1.9	12.7%	10.7%	2.0%	6.9%	7.63	7.16	—
2026	24	MIX MLE	2 levels	24	1	46	215	37	23	11	4%	1.9	12.7%	10.7%	2.0%	6.9%	7.63	7.16	—
2026	24	MIX RAW	2 levels	24	1	46	215	37	23	11	4%	1.9	17.2%	10.7%	6.5%	5.1%	7.63	6.10	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	25	MLB	DET	57	0	60	253	32	33	9	0%	1.1	12.7%	13.0%	-0.3%	3.4%	5.91	5.91	-0.9
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	26	MLB MLE	DET	57	0	60	251	37	32	8	0%	1.0	14.7%	12.6%	2.1%	3.3%	5.70	5.67	-0.7
2029	27	MLB MLE	DET	56	0	59	247	38	31	8	0%	1.0	15.4%	12.4%	2.9%	3.4%	5.60	5.60	-0.7
2028	26	MLB CTX	DET	25	0	26	110	16	14	4	0%	1.0	14.7%	12.6%	2.1%	3.3%	5.70	5.67	-0.3
2029	27	MLB CTX	DET	35	0	37	156	24	19	5	0%	1.1	15.4%	12.4%	2.9%	3.4%	5.60	5.60	-0.4
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		59	0	62	264	40	33	9	0%	1.1	15.1%	12.5%	2.6%	3.4%	5.64	5.25	-0.5
/ 200 IP	—	RAW		190	0	200	844	128	106	29	0%	1.1	15.1%	12.5%	2.6%	3.4%	5.64	5.25	-1.6
Career	—	MLE		57	10	110	472	65	56	19	18%	1.9	13.8%	11.9%	1.9%	4.1%	5.09	5.67	-1.5
/ 200 IP	—	MLE		104	18	200	861	119	102	35	18%	1.9	13.8%	11.9%	1.9%	4.1%	5.09	5.67	-2.5

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
Preston Howey (OGILVIE)	—	—	5.91	12.7%	13.0%	3.4%	—	5.64	15.0%	2.5%	118	-0.27	—	—	—
Clate Schmidt R 2019 · 5.66 FIP	25	SU	5.66	13.5%	13.9%	3.5%	.290	—	—	—	—	—	3.51	160	86
Conner O'Neil R 2019 · 5.78 FIP	24	SU	5.78	12.8%	13.6%	3.7%	.340	6.92	16.4%	4.1%	26	+1.14	2.89	115	85
Zach Nuding R 2015 · 4.76 FIP	25	SU	4.76	12.5%	10.5%	2.5%	.236	5.03	12.6%	3.3%	106	+0.27	4.76	146	85
Stephen Johnson R 2016 · 5.15 FIP	25	SU	5.15	16.7%	12.7%	3.4%	.268	—	—	—	—	—	3.12	141	84
Dillon McNamara R 2017 · 5.01 FIP	25	SW	5.01	13.3%	11.1%	3.0%	.229	3.00	21.2%	12.3%	69	-2.01	1.73	244	84
Jarod Wright R 2022 · 5.73 FIP	25	SU	5.73	12.7%	13.2%	3.7%	.282	4.46	13.2%	3.8%	53	-1.27	4.46	170	84
Julian Arballo R 2015 · 5.13 FIP	27	SU	5.13	15.1%	13.8%	2.8%	.335	4.46	12.6%	0.6%	116	-0.67	4.45	214	84
Fernando Cruz R 2015 · 5.29 FIP	25	SU	5.29	15.6%	12.2%	3.6%	.284	—	—	—	—	—	2.50	371	83
Jeff Soptic R 2016 · 5.52 FIP	25	SU	5.52	13.6%	15.3%	3.0%	.326	—	—	—	—	—	5.30	124	83
Tyler Burch R 2023 · 4.92 FIP	25	SU	4.92	15.0%	12.6%	2.7%	.285	—	—	—	—	—	4.56	119	83
Ryan Vogelsong R 2001 · 5.34 FIP	24	SU	5.34	14.6%	11.6%	3.7%	.287	4.78	14.9%	5.7%	155	-0.56	3.14	1,184	82
Reece Karalus R 2018 · 4.73 FIP	24	SU	4.73	15.4%	11.9%	2.6%	.299	—	—	—	—	—	4.73	149	82
Rafael Dolis R 2012 · 5.19 FIP	24	SU	5.19	13.9%	12.7%	3.0%	.287	4.02	15.8%	1.5%	66	-1.17	2.80	200	81
Andrew Gross R 2022 · 6.02 FIP	25	SU	6.02	13.7%	10.6%	5.0%	.254	—	—	—	—	—	2.44	116	81
Wuilder Rodriguez R 2018 · 5.25 FIP	25	SU	5.25	11.1%	10.4%	3.2%	.320	4.12	9.2%	1.0%	18	-1.13	3.03	249	81
Aaron Cohn R 2023 · 5.78 FIP	24	SU	5.78	11.1%	10.7%	4.1%	.327	—	—	—	—	—	5.72	106	80
Claudio Custodio R 2015 · 5.31 FIP	24	SU	5.31	11.1%	13.2%	2.7%	.351	3.79	11.5%	4.8%	37	-1.52	3.08	186	80
Miguel Nunez R 2017 · 5.12 FIP	24	SU	5.12	13.2%	13.7%	2.6%	.257	—	—	—	—	—	3.72	154	80
Scott Griggs R 2016 · 5.11 FIP	25	SU	5.11	11.3%	13.2%	2.4%	.278	4.19	19.7%	8.0%	112	-0.92	3.06	176	80
Cooper Adams R 2024 · 5.42 FIP	24	SW	5.42	13.0%	12.2%	3.4%	.275	4.32	21.7%	10.4%	141	-1.10	3.05	221	80

Career Comps

Completed MLB careers (no pro action in 2+ yrs) whose totals — actual + projected — most resemble this player's. Pool: 1,474 reliever careers (754 from 1990-2025 + 720 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	59	14.3%	12.7%	1.30	5.74
Matt Perisho ('05)	1.4	69	15.2%	12.2%	1.37	6.39
Brian Stokes ('10)	1.0	52	14.5%	10.1%	1.22	5.27
Luther Hackman ('03)	1.1	71	13.3%	10.9%	1.10	5.09
Daryl Patterson ('68-'74, -1 WAR*)	1.2	46	18.3%*	11.2%*	1.27*	5.03*
Darrel Akerfelds ('86-'91, -3 WAR*)	1.2	78	15.8%*	11.9%*	1.61*	5.40*
Bill Wilson ('69-'73, -0 WAR*)	1.3	52	20.3%*	11.5%*	1.13*	4.84*