Jose Zerpa

P Inland Empire 66ers

Age 22 RHP 6'2" / 180 lbs A peak 0.4 · 2029

Overview

APROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	19	ROKSEA	10	11	4.22	4.32	18.4%	12.2%	—	K 18.4% · BB 12.2% · FIP 4.22
2025	20	MIX3 levels	34	58	3.39	2.74	19.4%	6.3%	—	K 14.6% · BB 5.4% · FIP 3.50
2026	21	ASEA	10	23	4.70	2.75	23.5%	4.1%	—	K 17.4% · BB 4.8% · FIP 3.70
2027PROJ	22	MLBSEA	43	45	4.63	4.63	14.7%	6.2%	-0.0
2028PROJ49% MLB	23	MLBSEA	26	27	4.50	4.44	16.7%	6.2%	0.0
2029PROJ70% MLB	24	MLBSEA	37	39	4.39	4.32	17.9%	6.2%	0.1

Next 3 projected WAR 0.1Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Scouting grades · 20-80

Stuff30Control60Command40

Career WAR0 WAR median (P10 0 / P90 0, comp-based) · star 0% · didn't stick 98%

CompsAaron Brooks (age 23) · Matthew Gorst (age 22) · Gilberto Mendez (age 22)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 121113vR 105

ERA4.63

FIP4.63

K%14.7%

BB%6.2%

K-BB%8.5%

Proj IP45

Value2027 · WAR

Runs saved vs league avg · 45 IP

Grades · Contract

Scouting Grades

STUF3030

CTRL6060

CMD4040

K†3045

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)
2023	18	ROK MLE	DSL Mariners	12	0	23	96	34	8	0	0%	1.9	24.1%	10.4%	13.7%	0.0%	2.70	2.39	—
2023	18	ROK RAW	DSL Mariners	12	0	23	96	34	8	0	0%	1.9	35.4%	8.3%	27.1%	0.0%	2.70	1.21	—
2024	19	ROK MLE	ACL Mariners	10	0	11	49	9	6	1	0%	1.1	18.4%	12.2%	6.1%	2.0%	4.22	4.22	—
2024	19	ROK MLE	ACL Mariners	10	0	11	49	9	6	1	0%	1.1	18.4%	12.2%	6.1%	2.0%	4.22	4.22	—
2024	19	ROK RAW	ACL Mariners	10	0	11	49	9	6	1	0%	1.1	18.4%	12.2%	6.1%	2.0%	4.22	4.32	—
2025	20	MIX MLE	3 levels	34	0	58	237	46	15	2	0%	1.7	14.6%	5.4%	9.2%	1.7%	3.39	3.50	—
2025	20	MIX MLE	3 levels	34	0	58	237	46	15	2	0%	1.7	14.6%	5.4%	9.2%	1.7%	3.39	3.50	—
2025	20	MIX RAW	3 levels	34	0	58	237	46	15	2	0%	1.7	19.4%	6.3%	13.1%	0.8%	3.39	2.74	—
2026	21	A MLE	Inland Empire 66ers	10	0	23	98	23	4	2	0%	2.3	17.4%	4.8%	12.6%	2.7%	4.70	3.70	—
2026	21	A MLE	Inland Empire 66ers	10	0	23	98	23	4	2	0%	2.3	17.4%	4.8%	12.6%	2.7%	4.70	3.70	—
2026	21	A RAW	Inland Empire 66ers	10	0	23	98	23	4	2	0%	2.3	23.5%	4.1%	19.4%	2.0%	4.70	2.75	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	22	MLB	SEA	43	0	45	190	28	12	6	0%	1.0	14.7%	6.2%	8.5%	2.9%	4.63	4.63	-0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	23	MLB MLE	SEA	52	0	54	230	39	14	7	0%	1.0	16.7%	6.2%	10.5%	2.9%	4.50	4.44	+0.1
2029	24	MLB MLE	SEA	53	0	56	236	42	15	7	0%	1.1	17.9%	6.2%	11.7%	2.9%	4.39	4.32	+0.2
2030	25	MLB MLE	SEA	54	0	57	239	44	15	7	0%	1.0	18.6%	6.2%	12.3%	2.9%	4.32	4.27	+0.2
2031	26	MLB MLE	SEA	54	0	57	239	45	15	7	0%	1.0	18.9%	6.3%	12.6%	2.9%	4.27	4.25	+0.2
2032	27	MLB MLE	SEA	53	0	56	236	45	15	7	0%	1.1	18.9%	6.3%	12.5%	2.9%	4.28	4.28	+0.2
2028	23	MLB CTX	SEA	26	0	27	114	19	7	3	0%	1.0	16.7%	6.2%	10.5%	2.9%	4.50	4.44	+0.0
2029	24	MLB CTX	SEA	37	0	39	165	30	10	5	0%	1.1	17.9%	6.2%	11.7%	2.9%	4.39	4.32	+0.1
2030	25	MLB CTX	SEA	44	0	46	194	36	12	6	0%	1.0	18.6%	6.2%	12.3%	2.9%	4.32	4.27	+0.2
2031	26	MLB CTX	SEA	47	0	49	207	39	13	6	0%	1.0	18.9%	6.3%	12.6%	2.9%	4.27	4.25	+0.2
2032	27	MLB CTX	SEA	48	0	50	211	40	13	6	0%	1.0	18.9%	6.3%	12.5%	2.9%	4.28	4.28	+0.2
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		201	0	212	893	164	56	26	0%	1.1	18.4%	6.3%	12.1%	2.9%	4.33	3.92	+1.6
/ 200 IP	—	RAW		190	0	200	844	155	53	25	0%	1.1	18.4%	6.3%	12.1%	2.9%	4.33	3.92	+1.5
Career	—	MLE		66	0	115	480	84	33	8	0%	1.7	17.4%	7.0%	10.5%	1.6%	3.59	3.39	+0.8
/ 200 IP	—	MLE		114	0	200	832	145	58	13	0%	1.7	17.4%	7.0%	10.5%	1.6%	3.59	3.39	+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
Jose Zerpa (OGILVIE)	—	—	4.63	14.7%	6.2%	2.9%	—	4.34	17.8%	11.5%	167	-0.29	—	—	—
Aaron Brooks R 2015 · 4.09 FIP	23	SU	4.09	15.2%	7.3%	2.5%	.314	3.54	13.7%	6.0%	77	-0.55	3.54	109	91
Matthew Gorst R 2017 · 4.13 FIP	22	SU	4.13	15.8%	7.0%	2.7%	.269	3.89	16.6%	8.0%	130	-0.24	3.20	199	91
Gilberto Mendez R 2015 · 3.75 FIP	22	SU	3.75	15.9%	5.8%	2.3%	.320	4.16	15.1%	7.4%	128	+0.41	3.75	189	90
Riley Davis R 2022 · 4.12 FIP	23	SU	4.12	15.3%	6.4%	2.7%	.237	4.41	13.3%	3.2%	81	+0.29	4.12	108	89
Kyle Whitten R 2022 · 4.32 FIP	23	SU	4.32	17.2%	7.0%	3.2%	.264	4.69	18.0%	8.3%	85	+0.37	4.32	152	89
Matt Pidich R 2018 · 4.42 FIP	23	SU	4.42	17.1%	8.3%	3.1%	.303	4.08	20.8%	13.3%	115	-0.34	4.05	196	88
Kris Wilson R 2000 · 3.94 FIP	23	SU	3.94	11.7%	5.5%	2.1%	.299	5.47	13.2%	7.6%	201	+1.53	3.94	235	88
Jimmy Duff R 2016 · 4.63 FIP	22	SU	4.63	13.1%	6.1%	3.4%	.354	—	—	—	—	—	2.64	117	88
Andrew Vinson R 2016 · 3.45 FIP	22	SU	3.45	13.2%	4.7%	1.6%	.308	4.09	13.9%	6.2%	114	+0.64	3.45	151	87
Tyler Zombro R 2017 · 4.37 FIP	22	SU	4.37	14.6%	8.9%	2.5%	.295	2.67	15.7%	12.7%	134	-1.70	2.22	172	87
Lorenzo Barcelo R 2000 · 4.10 FIP	22	SU	4.10	16.6%	5.1%	3.2%	.246	3.14	15.6%	9.4%	21	-0.96	3.14	259	87
Fred Villarreal R 2021 · 3.93 FIP	23	SU	3.93	17.6%	6.8%	2.6%	.331	3.64	14.1%	3.5%	63	-0.29	3.64	114	87
Matt Anderson R 2015 · 3.84 FIP	23	SU	3.84	17.4%	7.5%	2.3%	.288	2.99	17.5%	10.7%	62	-0.85	2.99	129	87
Juan Carlos Oviedo R 2005 · 4.83 FIP	23	SU	4.83	13.0%	6.5%	3.7%	.339	4.05	15.8%	9.5%	105	-0.78	2.84	389	87
Nick Neumann R 2015 · 4.09 FIP	24	SU	4.09	14.7%	7.0%	2.5%	.299	4.30	11.4%	3.9%	62	+0.21	3.68	107	87
Confesor Lara R 2015 · 3.74 FIP	24	SU	3.74	13.7%	6.2%	1.8%	.303	4.26	16.4%	5.4%	52	+0.52	3.74	111	87
Robbie Welhaf R 2018 · 4.06 FIP	23	SU	4.06	14.0%	7.6%	2.1%	.309	3.11	18.1%	15.0%	90	-0.95	3.11	121	87
Justin Garcia R 2015 · 4.06 FIP	22	SU	4.06	14.0%	7.8%	2.1%	.234	4.71	16.0%	3.5%	112	+0.65	4.06	164	87
Vince Arobio R 2017 · 4.49 FIP	22	SU	4.49	16.5%	5.6%	3.8%	.237	3.97	22.7%	13.3%	89	-0.52	3.67	118	87
Tyler Carpenter R 2015 · 4.03 FIP	23	SU	4.03	15.2%	8.1%	2.1%	.351	4.22	12.9%	7.0%	189	+0.19	3.68	296	86

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	1.6	54	17.7%	6.3%	1.11	4.39
James Russell ('16)	1.7	56	17.0%	7.0%	1.16	4.09
Todd Coffey ('12)	2.2	63	17.2%	7.2%	1.01	4.10
Manny Corpas ('13)	1.9	53	16.6%	7.0%	0.91	4.14
Cris Carpenter ('88-'96, 2 WAR*)	2.1	69	18.3%*	7.4%*	1.15*	4.29*
Larry Casian ('90-'98, 0 WAR*)	1.2	40	14.7%*	6.8%*	1.25*	4.37*
Will McEnaney ('74-'79, 1 WAR*)	1.7	70	14.4%*	6.1%*	1.02*	4.35*