Jhony Osoria

P DSL Mets Blue

Age 20 RHP 6'2" / 182 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…	7	0	11	3.97	3.72	19.1%	8.5%	—	K 19.1% · BB 8.5% · FIP 3.73
2026	19	ROKDSL Mets Blue	10	4	27	9.45	2.80	26.5%	12.5%	—	K 18.0% · BB 15.6% · FIP 4.12
2027PROJ	20	MLBNYM	15	0	16	5.04	5.04	21.5%	14.0%	-0.1
2028PROJ49% MLB	21	MLBNYM	11	0	12	4.84	4.76	22.1%	12.4%	-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%

CompsWill Kobos (age 20) · Juan Mendez (age 22) · Jose Vasquez (age 19)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 129121vR 113

ERA5.04

FIP5.04

K%21.5%

BB%14.0%

K-BB%7.5%

Proj IP16

Value2027 · WAR

Runs saved vs league avg · 16 IP

Grades · Contract

Scouting Grades

K†5055

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	7	0	11	47	9	4	1	0%	1.6	19.1%	8.5%	10.6%	2.1%	3.97	3.73	—
2025	18	ROK MLE	DSL Mets Orange	7	0	11	47	9	4	1	0%	1.6	19.1%	8.5%	10.6%	2.1%	3.97	3.73	—
2025	18	ROK RAW	DSL Mets Orange	7	0	11	47	9	4	1	0%	1.6	19.1%	8.5%	10.6%	2.1%	3.97	3.72	—
2026	19	ROK MLE	DSL Mets Blue	10	4	27	136	36	17	1	40%	2.7	18.0%	15.6%	2.4%	1.0%	9.45	4.12	—
2026	19	ROK MLE	DSL Mets Blue	10	4	27	136	36	17	1	40%	2.7	18.0%	15.6%	2.4%	1.0%	9.45	4.12	—
2026	19	ROK RAW	DSL Mets Blue	10	4	27	136	36	17	1	40%	2.7	26.5%	12.5%	14.0%	0.7%	9.45	2.80	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	20	MLB	NYM	15	0	16	68	15	9	2	0%	1.1	21.5%	14.0%	7.5%	2.9%	5.04	5.04	-0.1
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	21	MLB MLE	NYM	24	0	25	106	24	13	3	0%	1.1	22.1%	12.4%	9.7%	2.9%	4.84	4.76	-0.1
2028	21	MLB CTX	NYM	11	0	12	51	11	6	1	0%	1.1	22.1%	12.4%	9.7%	2.9%	4.84	4.76	-0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		12	0	12	52	12	6	2	0%	1.0	22.1%	12.4%	9.7%	2.9%	4.84	4.38	+0.0
/ 200 IP	—	RAW		190	0	200	844	194	97	32	0%	1.1	22.1%	12.4%	9.7%	2.9%	4.84	4.38	+0.4
Career	—	MLE		17	4	38	183	33	25	2	24%	2.2	18.3%	13.8%	4.5%	1.3%	7.82	4.02	-0.1
/ 200 IP	—	MLE		89	21	200	963	176	133	13	24%	2.2	18.3%	13.8%	4.5%	1.3%	7.82	4.02	-0.5

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
Jhony Osoria (OGILVIE)	—	—	5.04	21.5%	14.0%	2.9%	—	4.76	22.1%	9.7%	25	-0.28	—	—	—
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	85
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	85
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	84
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	84
Kobe Robinson R 2022 · 4.49 FIP	21	SW	4.49	23.2%	14.3%	2.8%	.296	3.44	18.8%	4.9%	84	-1.05	2.98	107	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	84
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	83
Denny Larrondo R 2021 · 4.77 FIP	19	SW	4.77	22.7%	17.5%	2.5%	.293	5.26	18.1%	-0.4%	155	+0.49	4.48	293	83
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	83
Rafael Gonzalez R 2024 · 4.11 FIP	20	SW	4.11	21.8%	16.3%	1.4%	.303	5.08	15.7%	-4.4%	82	+0.97	3.42	162	83
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	83
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	82
Yunior Montero R 2015 · 4.82 FIP	22	SW	4.82	16.9%	14.1%	2.5%	.276	4.58	21.5%	6.2%	91	-0.24	3.65	127	81
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	80
Alix Hernandez R 2024 · 4.44 FIP	20	SU	4.44	21.7%	13.7%	2.6%	.300	5.16	23.0%	11.4%	78	+0.72	3.55	170	80
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	80
Engel Daniel Peralta R 2024 · 5.28 FIP	20	SW	5.28	17.7%	15.0%	3.2%	.300	5.89	16.6%	1.2%	33	+0.61	3.34	129	80
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	80
Nestor Lorant R 2022 · 3.99 FIP	20	SW	3.99	22.5%	13.2%	2.0%	.385	3.98	18.6%	8.4%	223	-0.01	2.73	373	79
Alec Barger R 2021 · 4.55 FIP	23	SW	4.55	21.7%	13.6%	2.8%	.289	4.17	21.3%	9.4%	148	-0.38	3.85	242	79