Anderson Ozuna

P DSL Mets Orange

Age 20 RHP 6'0" / 153 lbs ROK

Overview

ROKPROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2025	18	ROKDSL Mets Oran…	18	0	27	3.00	3.69	19.2%	10.0%	—	K 13.0% · BB 12.5% · FIP 5.05
2026	19	ROKDSL Mets Oran…	7	6	18	2.00	2.88	18.9%	10.8%	—	K 12.9% · BB 13.5% · FIP 3.73
2027PROJ	20	MLB—	11	0	12	4.95	4.95	19.8%	12.0%	-0.1
2028PROJ49% MLB	21	MLB—	12	0	13	4.78	4.71	20.7%	11.0%	-0.0

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

Contract

No contract data on file.

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

CompsSaul Teran (age 20) · Juan Mendez (age 22) · Tanner Cooper (age 21)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 127119vR 111

ERA4.95

FIP4.95

K%19.8%

BB%12.0%

K-BB%7.7%

Proj IP12

Value2027 · WAR

Runs saved vs league avg · 12 IP

Grades · Contract

Scouting Grades

K†4550

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)
2025	18	ROK MLE	DSL Mets Orange	18	0	27	120	23	12	2	0%	1.5	13.0%	12.5%	0.5%	2.7%	3.00	5.05	—
2025	18	ROK MLE	DSL Mets Orange	18	0	27	120	23	12	2	0%	1.5	13.0%	12.5%	0.5%	2.7%	3.00	5.05	—
2025	18	ROK RAW	DSL Mets Orange	18	0	27	120	23	12	2	0%	1.5	19.2%	10.0%	9.2%	1.7%	3.00	3.69	—
2026	19	ROK MLE	DSL Mets Orange	7	6	18	74	14	8	0	86%	2.6	12.9%	13.5%	-0.6%	0.0%	2.00	3.73	—
2026	19	ROK MLE	DSL Mets Orange	7	6	18	74	14	8	0	86%	2.6	12.9%	13.5%	-0.6%	0.0%	2.00	3.73	—
2026	19	ROK RAW	DSL Mets Orange	7	6	18	74	14	8	0	86%	2.6	18.9%	10.8%	8.1%	0.0%	2.00	2.88	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	20	MLB	—	11	0	12	51	10	6	1	0%	1.1	19.8%	12.0%	7.7%	2.9%	4.95	4.95	-0.1
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	21	MLB MLE	—	24	0	26	108	22	12	3	0%	1.1	20.7%	11.0%	9.7%	2.9%	4.78	4.71	-0.0
2028	21	MLB CTX	—	12	0	13	55	11	6	2	0%	1.1	20.7%	11.0%	9.7%	2.9%	4.78	4.71	-0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		12	0	13	53	11	6	2	0%	1.0	20.7%	11.0%	9.7%	2.9%	4.78	4.33	+0.0
/ 200 IP	—	RAW		190	0	200	844	175	96	32	0%	1.1	20.7%	11.0%	9.7%	2.9%	4.78	4.33	+0.5
Career	—	MLE		25	6	45	194	25	25	3	24%	1.8	13.0%	12.9%	0.1%	1.7%	2.60	4.54	-0.0
/ 200 IP	—	MLE		111	27	200	862	112	111	14	24%	1.8	13.0%	12.9%	0.1%	1.7%	2.60	4.54	-0.4

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
Anderson Ozuna (OGILVIE)	—	—	4.95	19.8%	12.0%	2.9%	—	4.71	20.7%	9.7%	26	-0.24	—	—	—
Saul Teran R 2022 · 4.81 FIP	20	SW	4.81	17.5%	9.8%	3.5%	.333	3.88	20.8%	8.7%	94	-0.93	2.28	166	86
Juan Mendez R 2021 · 4.45 FIP	22	SW	4.45	20.5%	14.2%	2.3%	.271	5.07	21.9%	6.1%	128	+0.62	3.69	156	84
Tanner Cooper R 2021 · 4.71 FIP	21	SW	4.71	17.1%	14.1%	2.3%	.338	5.15	14.4%	6.7%	121	+0.44	4.51	148	82
Johzan Oquendo R 2021 · 4.22 FIP	20	SW	4.22	18.4%	14.5%	1.5%	.294	3.65	23.5%	5.7%	113	-0.57	3.62	187	81
Joel Ibarra R 2022 · 4.08 FIP	20	SW	4.08	21.4%	13.8%	1.9%	.323	4.74	19.6%	-3.4%	86	+0.66	4.08	155	81
Deretd Parra R 2019 · 5.29 FIP	19	SP-	5.29	16.8%	10.9%	4.1%	.295	3.85	15.7%	2.3%	83	-1.44	2.79	161	80
Edgar Sanchez R 2021 · 3.89 FIP	20	SW	3.89	17.2%	11.0%	1.5%	.288	4.34	16.2%	3.0%	189	+0.45	2.53	257	80
Anderson Cardenas R 2024 · 4.90 FIP	18	SW	4.90	19.5%	11.9%	3.5%	.235	3.52	22.2%	8.8%	58	-1.38	3.52	129	80
Will Kobos R 2018 · 5.58 FIP	20	SW	5.58	19.3%	16.0%	3.8%	.313	3.46	26.6%	11.6%	76	-2.12	2.44	139	80
Victor Simeon R 2021 · 3.87 FIP	20	SW	3.87	17.7%	13.8%	0.9%	.266	4.21	21.3%	5.1%	105	+0.34	3.22	180	79
Eccel Correa R 2023 · 4.39 FIP	20	SW	4.39	19.4%	11.9%	2.6%	.316	4.41	14.0%	2.2%	154	+0.02	3.96	189	79
Brandon Komar R 2019 · 4.77 FIP	20	SW	4.77	17.7%	11.6%	3.1%	.327	4.93	16.7%	5.7%	198	+0.16	3.00	538	78
Miguel Alfonseca R 2021 · 4.19 FIP	21	SP-	4.19	18.3%	12.1%	2.0%	.400	5.36	14.9%	-0.9%	92	+1.17	4.19	123	78
Trayson Kubo R 2019 · 5.01 FIP	21	SW	5.01	19.8%	15.6%	2.9%	.450	4.82	17.7%	1.4%	66	-0.19	4.48	107	78
Wuilliams Rodriguez R 2024 · 3.76 FIP	18	SW	3.76	16.3%	11.0%	1.2%	.277	5.39	14.3%	3.9%	120	+1.63	3.76	187	78
Adrián Martinez R 2017 · 4.30 FIP	20	SW	4.30	18.8%	8.4%	3.1%	.329	4.25	17.3%	7.6%	92	-0.05	2.02	526	78
Todd Peterson R 2021 · 5.11 FIP	23	SW	5.11	18.4%	10.3%	4.1%	.279	4.83	15.0%	4.3%	124	-0.28	4.45	175	78
Jose Vasquez R 2024 · 4.12 FIP	19	SW	4.12	21.9%	13.4%	2.1%	.359	6.49	15.6%	-10.2%	66	+2.37	4.12	123	78
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	78
Ivan Oviedo R 2023 · 5.64 FIP	20	SW	5.64	21.2%	14.0%	4.7%	.353	4.01	20.1%	3.6%	33	-1.63	3.75	174	78