Zack Hess

P West Michigan Whitecaps

Age 30 RHP 6'6" / 219 lbs A+

Overview

A+PROSPECT

MLB%0%

Year	Age	Lvl / Team	G	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2021	24	MIX2 levels	45	53	3.42	3.84	29.6%	14.2%	—	K 22.9% · BB 16.6% · FIP 5.47
2023	26	MIX2 levels	10	10	7.20	3.90	25.5%	13.7%	—	K 25.5% · BB 13.7% · FIP 3.76
2024	27	A+DET	25	30	6.30	4.73	23.1%	17.7%	—	K 17.8% · BB 20.3% · FIP 5.75
2027PROJ	30	MLBDET	16	17	4.90	4.90	22.1%	13.0%	-0.1
2028PROJ30% MLB	31	MLBDET	6	6	4.96	5.04	21.9%	13.0%	-0.0

Next 2 projected WAR -0.1Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

CompsWirfin Obispo (age 30) · Jim Miller (age 30) · Joe Nelson (age 31)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 126118vR 110

ERA4.90

FIP4.90

K%22.1%

BB%13.0%

K-BB%9.2%

Proj IP17

Value2027 · WAR

Runs saved vs league avg · 17 IP

Grades · Contract

Scouting Grades

K†5555

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)
2019	22	MIX MLE	2 levels	17	0	22	95	23	12	2	0%	1.3	18.1%	13.1%	5.0%	3.2%	3.27	5.00	—
2019	22	MIX RAW	2 levels	17	0	22	95	23	12	2	0%	1.3	24.2%	12.6%	11.6%	2.1%	3.27	3.83	—
2021	24	MIX MLE	2 levels	45	0	53	233	69	33	6	0%	1.2	22.9%	16.6%	6.3%	4.0%	3.42	5.47	—
2021	24	MIX RAW	2 levels	45	0	53	233	69	33	6	0%	1.2	29.6%	14.2%	15.5%	2.6%	3.42	3.84	—
2023	26	MIX MLE	2 levels	10	0	10	51	13	7	1	0%	1.0	25.5%	13.7%	11.8%	2.0%	7.20	3.76	—
2023	26	MIX RAW	2 levels	10	0	10	51	13	7	1	0%	1.0	25.5%	13.7%	11.8%	2.0%	7.20	3.90	—
2024	27	A+ MLE	West Michigan Whitecaps	25	0	30	147	34	26	3	0%	1.2	17.8%	20.3%	-2.5%	2.9%	6.30	5.75	—
2024	27	A+ MLE	West Michigan Whitecaps	25	0	30	147	34	26	3	0%	1.2	17.8%	20.3%	-2.5%	2.9%	6.30	5.75	—
2024	27	A+ RAW	West Michigan Whitecaps	25	0	30	147	34	26	3	0%	1.2	23.1%	17.7%	5.4%	2.0%	6.30	4.73	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	30	MLB	DET	16	0	17	72	16	9	2	0%	1.1	22.1%	13.0%	9.2%	3.0%	4.90	4.90	-0.1
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	31	MLB MLE	DET	19	0	20	84	18	11	3	0%	1.1	21.9%	13.0%	8.9%	3.2%	4.96	5.04	-0.1
2028	31	MLB CTX	DET	6	0	6	25	6	3	1	0%	1.0	21.9%	13.0%	8.9%	3.2%	4.96	5.04	-0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		6	0	6	26	6	3	1	0%	1.0	21.9%	13.0%	8.9%	3.2%	4.96	4.66	-0.0
/ 200 IP	—	RAW		190	0	200	844	198	99	33	0%	1.1	21.9%	13.0%	8.9%	3.2%	4.96	4.66	-0.3
Career	—	MLE		97	0	115	526	110	88	18	0%	1.2	20.9%	16.7%	4.1%	3.4%	4.47	5.30	-0.1
/ 200 IP	—	MLE		169	0	200	917	191	153	31	0%	1.2	20.9%	16.7%	4.1%	3.4%	4.47	5.30	-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
Zack Hess (OGILVIE)	—	—	4.90	22.1%	13.0%	3.0%	—	5.04	21.9%	8.9%	20	+0.14	—	—	—
Wirfin Obispo R 2015 · 4.80 FIP	30	SU	4.80	18.6%	12.2%	3.1%	.292	1.31	28.6%	24.5%	126	-3.49	1.30	218	89
Jim Miller R 2012 · 4.56 FIP	30	SU	4.56	20.9%	11.8%	3.1%	.243	3.95	18.8%	14.7%	74	-0.61	3.95	140	86
Joe Nelson R 2006 · 3.91 FIP	31	SU	3.91	22.8%	10.4%	2.6%	.258	4.05	23.4%	12.8%	94	+0.14	3.08	139	85
Dustin Molleken R 2015 · 3.74 FIP	30	SU	3.74	20.4%	11.7%	1.6%	.287	3.90	20.6%	8.4%	77	+0.16	3.38	129	83
Esteban Haro R 2016 · 4.55 FIP	30	SU	4.55	17.1%	10.2%	2.9%	.338	3.83	11.6%	6.3%	75	-0.72	3.76	164	80
Erik Davis R 2017 · 4.25 FIP	30	SU	4.25	22.2%	11.1%	3.0%	.349	3.52	17.4%	8.5%	65	-0.73	3.05	227	79
Neil Wagner R 2013 · 4.02 FIP	29	SU	4.02	20.5%	7.5%	3.1%	.306	4.05	19.8%	7.5%	43	+0.03	3.11	135	78
Dalier Hinojosa R 2016 · 4.30 FIP	30	SU	4.30	18.7%	12.6%	2.2%	.329	—	—	—	—	—	3.41	104	74
Javy Guerra R 2016 · 4.29 FIP	30	SU	4.29	21.3%	13.9%	2.3%	.303	3.95	19.5%	13.0%	193	-0.34	2.94	409	74
Hirokazu Sawamura R 2021 · 4.48 FIP	33	SU	4.48	26.2%	11.2%	4.0%	.263	4.02	18.1%	6.8%	51	-0.46	4.02	104	73
Scott Atchison R 2007 · 4.55 FIP	31	SU	4.55	19.1%	7.6%	3.8%	.297	4.59	16.2%	9.5%	60	+0.04	2.52	340	73
Mike Broadway R 2017 · 4.73 FIP	30	SU	4.73	18.3%	10.2%	3.4%	.245	4.65	23.0%	12.4%	49	-0.08	1.74	195	73
Taylor Williams R 2021 · 5.96 FIP	30	SU	5.96	19.9%	14.1%	5.0%	.261	3.79	18.8%	9.0%	101	-2.17	2.51	309	72
Wil Browning R 2017 · 4.44 FIP	28	SU	4.44	17.9%	13.1%	2.2%	.359	—	—	—	—	—	2.14	162	72
Angel Castro R 2015 · 4.50 FIP	32	SU	4.50	15.9%	8.0%	3.1%	.268	4.28	13.6%	5.5%	231	-0.22	3.51	292	72
Cody Hall R 2018 · 3.92 FIP	30	SU	3.92	25.9%	17.5%	1.5%	.244	—	—	—	—	—	3.51	134	72
Dennis Sarfate R 2009 · 4.81 FIP	28	SU	4.81	19.8%	13.9%	3.0%	.281	—	—	—	—	—	4.42	103	72
Andrew Robinson R 2017 · 4.32 FIP	29	SU	4.32	23.4%	8.8%	3.8%	.245	—	—	—	—	—	3.19	160	72
Ronald Peña R 2021 · 4.49 FIP	29	SU	4.49	16.5%	10.4%	2.7%	.288	—	—	—	—	—	3.72	187	71
Jose Manuel Lopez R 2015 · 5.21 FIP	30	SU	5.21	18.6%	7.6%	4.9%	.373	3.56	18.5%	9.3%	93	-1.65	3.50	170	71