Hector Ozuna

P DSL Arizona Black

Age 20 RHP ROK

Overview

ROKPROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2026	19	ROKDSL Arizona B…	10	19	3.86	4.12	16.7%	13.3%	—	K 11.3% · BB 16.7% · FIP 5.11
2027PROJ	20	MLBARI	10	11	5.18	5.18	20.2%	14.1%	-0.1
2028PROJ49% MLB	21	MLBARI	10	10	4.97	4.88	21.0%	12.5%	-0.0

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

Contract

No contract data on file.

Career WAR0 WAR median (P10 0 / P90 0, comp-based) · star 0% · didn't stick 100%

CompsDrew Pestka (age 20) · Brandon Dufault (age 22) · Kyle Hinton (age 21)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 132123vR 115

ERA5.18

FIP5.18

K%20.2%

BB%14.1%

K-BB%6.1%

Proj IP11

Value2027 · WAR

Runs saved vs league avg · 11 IP

Grades · Contract

Scouting Grades

K†5050

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)
2026	19	ROK MLE	DSL Arizona Black	10	0	19	90	15	12	1	0%	1.9	11.3%	16.7%	-5.3%	1.6%	3.86	5.11	—
2026	19	ROK MLE	DSL Arizona Black	10	0	19	90	15	12	1	0%	1.9	11.3%	16.7%	-5.3%	1.6%	3.86	5.11	—
2026	19	ROK RAW	DSL Arizona Black	10	0	19	90	15	12	1	0%	1.9	16.7%	13.3%	3.3%	1.1%	3.86	4.12	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	20	MLB	ARI	10	0	11	46	9	7	1	0%	1.1	20.2%	14.1%	6.1%	3.0%	5.18	5.18	-0.1
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	21	MLB MLE	ARI	19	0	20	84	18	11	2	0%	1.1	21.0%	12.5%	8.5%	2.9%	4.97	4.88	-0.1
2028	21	MLB CTX	ARI	10	0	10	42	9	5	1	0%	1.0	21.0%	12.5%	8.5%	2.9%	4.97	4.88	-0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		9	0	10	42	9	5	1	0%	1.1	21.0%	12.5%	8.5%	2.9%	4.97	4.50	+0.0
/ 200 IP	—	RAW		190	0	200	844	183	102	20	0%	1.1	21.0%	12.5%	8.5%	2.9%	4.97	4.50	+0.1
Career	—	MLE		10	0	19	90	10	15	1	0%	1.9	11.3%	16.7%	-5.3%	1.6%	3.86	5.11	-0.1
/ 200 IP	—	MLE		107	0	200	964	109	161	15	0%	1.9	11.3%	16.7%	-5.3%	1.6%	3.86	5.11	-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
Hector Ozuna (OGILVIE)	—	—	5.18	20.2%	14.1%	3.0%	—	4.88	21.0%	8.5%	20	-0.30	—	—	—
Drew Pestka R 2024 · 4.26 FIP	20	SU	4.26	19.0%	15.1%	1.6%	.298	4.55	18.1%	0.7%	83	+0.29	3.42	100	87
Brandon Dufault R 2021 · 5.32 FIP	22	SU	5.32	22.1%	15.9%	3.8%	.278	4.83	21.0%	4.2%	66	-0.49	4.38	152	86
Kyle Hinton R 2018 · 4.17 FIP	21	SU	4.17	23.5%	15.0%	2.1%	.275	5.69	17.7%	-0.7%	75	+1.52	4.17	106	85
Tyler Smith R 2018 · 5.30 FIP	22	SU	5.30	17.8%	14.3%	3.4%	.329	4.35	19.8%	7.8%	94	-0.95	3.44	121	85
Tommy DeJuneas R 2017 · 4.72 FIP	21	SU	4.72	19.1%	15.5%	2.3%	.357	4.59	20.8%	4.9%	100	-0.13	3.93	178	85
Joangel Gonzalez R 2024 · 4.23 FIP	20	SU	4.23	18.3%	11.7%	2.1%	.312	5.15	18.3%	2.5%	116	+0.92	3.93	151	85
Luis Alvarado R 2018 · 5.24 FIP	21	SU	5.24	20.2%	12.4%	4.2%	.276	5.16	18.7%	4.4%	140	-0.08	4.89	162	85
Michael Brewer R 2021 · 4.30 FIP	20	SU	4.30	23.7%	16.2%	2.1%	.303	4.69	19.7%	6.3%	114	+0.39	3.14	144	85
Samuel Carpio R 2024 · 4.20 FIP	21	SU	4.20	21.2%	15.3%	1.7%	.300	5.36	21.6%	-3.4%	112	+1.16	4.20	134	85
Rolddy Muñoz R 2021 · 4.32 FIP	21	SU	4.32	21.4%	13.7%	2.4%	.342	3.54	21.1%	9.8%	149	-0.78	3.18	290	85
Adam Ravenelle R 2015 · 4.32 FIP	22	SU	4.32	19.6%	14.8%	1.8%	.322	5.06	17.1%	4.3%	130	+0.74	4.32	165	85
Devon Fisher R 2016 · 4.39 FIP	20	SU	4.39	16.5%	12.5%	2.0%	.333	5.76	15.1%	0.9%	88	+1.37	4.39	102	85
Paul Gervase R 2022 · 4.91 FIP	22	SU	4.91	20.3%	16.2%	2.7%	.345	3.76	29.3%	16.0%	152	-1.15	3.38	211	85
Nolan Sparks R 2024 · 4.10 FIP	21	SU	4.10	21.8%	13.5%	2.1%	.229	4.72	19.3%	5.3%	140	+0.62	4.10	155	85
Michael Perez R 2024 · 5.44 FIP	21	SU	5.44	18.3%	16.1%	3.4%	.296	4.65	23.4%	7.7%	132	-0.79	4.38	153	84
Jeremy Beasley R 2017 · 4.71 FIP	21	SU	4.71	19.5%	11.6%	3.3%	.273	4.10	17.7%	8.7%	234	-0.61	3.17	337	84
Efrailin Ramos R 2024 · 4.31 FIP	18	SU	4.31	21.0%	15.7%	1.8%	.284	3.35	17.0%	6.4%	106	-0.96	3.11	142	84
Audry Lugo R 2019 · 4.05 FIP	20	SU	4.05	18.5%	11.4%	2.0%	.247	5.30	15.6%	-0.4%	77	+1.25	4.05	113	84
Kasey Ford R 2021 · 4.89 FIP	23	SU	4.89	20.3%	14.5%	3.0%	.310	4.26	21.9%	5.8%	98	-0.63	2.53	114	84
Brandyn Sittinger R 2017 · 4.37 FIP	23	SU	4.37	22.2%	13.8%	2.5%	.324	3.97	21.2%	7.2%	72	-0.40	3.58	152	84