Greison Acosta

P DSL Mets Blue

Age 19 LHP 6'0" / 185 lbs ROK

Overview

ROKPROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2025	17	ROKDSL Mets Blue	18	1	22	8.87	4.09	18.8%	18.8%	—	K 12.8% · BB 23.5% · FIP 5.00
2026	18	ROKDSL Mets Blue	8	5	9	21.81	8.75	14.1%	28.1%	—	K 9.6% · BB 35.2% · FIP 7.95
2027PROJ	19	MLBNYM	8	0	8	5.99	5.99	19.4%	20.0%	-0.1
2028PROJ49% MLB	20	MLBNYM	10	0	10	5.61	5.47	20.4%	16.8%	-0.1

Next 2 projected WAR -0.2Projected 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%

CompsRoberto Medina (age 19) · Felix Cabrera (age 19) · Yensy Bello (age 19)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 131139vR 147

ERA5.99

FIP5.99

K%19.4%

BB%20.0%

K-BB%-0.6%

Proj IP8

Value2027 · WAR

Runs saved vs league avg · 8 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	17	ROK MLE	DSL Mets Blue	18	1	22	117	22	22	0	6%	1.2	12.8%	23.5%	-10.7%	0.0%	8.87	5.00	—
2025	17	ROK MLE	DSL Mets Blue	18	1	22	117	22	22	0	6%	1.2	12.8%	23.5%	-10.7%	0.0%	8.87	5.00	—
2025	17	ROK RAW	DSL Mets Blue	18	1	22	117	22	22	0	6%	1.2	18.8%	18.8%	0.0%	0.0%	8.87	4.09	—
2026	18	ROK MLE	DSL Mets Blue	8	5	9	64	9	18	1	62%	1.1	9.6%	35.2%	-25.6%	2.2%	21.81	7.95	—
2026	18	ROK MLE	DSL Mets Blue	8	5	9	64	9	18	1	62%	1.1	9.6%	35.2%	-25.6%	2.2%	21.81	7.95	—
2026	18	ROK RAW	DSL Mets Blue	8	5	9	64	9	18	1	62%	1.1	14.1%	28.1%	-14.1%	1.6%	21.81	8.75	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	19	MLB	NYM	8	0	8	34	7	7	1	0%	1.0	19.4%	20.0%	-0.6%	2.9%	5.99	5.99	-0.1
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	20	MLB MLE	NYM	20	0	21	89	18	15	3	0%	1.1	20.4%	16.8%	3.6%	2.9%	5.61	5.47	-0.2
2028	20	MLB CTX	NYM	10	0	10	42	9	7	1	0%	1.0	20.4%	16.8%	3.6%	2.9%	5.61	5.47	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		10	0	10	44	9	7	1	0%	1.0	20.4%	16.8%	3.6%	2.9%	5.61	5.09	-0.1
/ 200 IP	—	RAW		190	0	200	844	174	135	19	0%	1.1	20.4%	16.8%	3.6%	2.9%	5.61	5.09	-1.3
Career	—	MLE		26	6	31	181	21	50	1	23%	1.2	11.6%	27.6%	-16.0%	0.8%	12.48	6.04	-0.2
/ 200 IP	—	MLE		168	39	200	1168	136	323	9	23%	1.2	11.6%	27.6%	-16.0%	0.8%	12.48	6.04	-2.1

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
Greison Acosta (OGILVIE)	—	—	5.99	19.4%	20.0%	2.9%	—	5.47	20.4%	3.6%	21	-0.52	—	—	—
Roberto Medina L 2024 · 5.29 FIP	19	SW	5.29	18.5%	19.6%	2.3%	.254	5.91	15.1%	-2.7%	45	+0.62	3.87	109	77
Felix Cabrera L 2021 · 6.37 FIP	19	SW	6.37	11.0%	22.5%	2.5%	.324	4.96	15.3%	-2.3%	92	-1.41	3.96	132	76
Yensy Bello L 2022 · 6.82 FIP	19	SU	6.82	19.9%	32.3%	2.4%	.240	3.76	17.4%	4.1%	91	-3.06	2.65	103	75
Gabriel Cotto L 2019 · 5.98 FIP	19	SW	5.98	11.3%	18.4%	2.8%	.309	5.15	18.5%	2.4%	113	-0.83	5.02	236	74
Spencer Giesting L 2022 · 5.80 FIP	21	SP-	5.80	20.8%	16.6%	4.3%	.290	4.30	19.0%	8.0%	394	-1.50	3.58	460	74
Daniel Gonzalez L 2021 · 5.55 FIP	19	SU	5.55	13.6%	19.1%	2.1%	.318	4.98	20.1%	2.0%	100	-0.57	4.34	136	73
Develson Aria L 2019 · 5.19 FIP	18	SU	5.19	15.5%	19.7%	1.6%	.311	4.33	21.7%	3.1%	54	-0.86	4.32	137	73
Zhiorman Imbriano L 2022 · 5.72 FIP	19	SU	5.72	12.3%	21.1%	1.8%	.283	4.79	13.2%	-5.0%	65	-0.93	3.82	100	73
Yordan Nodal L 2021 · 5.02 FIP	19	SW	5.02	15.7%	20.7%	1.2%	.292	5.13	14.7%	-0.2%	128	+0.11	4.94	193	71
Riger Fernandez L 2017 · 5.21 FIP	19	SW	5.21	17.5%	24.7%	0.8%	.278	4.61	17.2%	-2.3%	35	-0.60	4.61	164	71
Alvaro Gamez L 2024 · 5.50 FIP	19	SW	5.50	13.2%	21.0%	1.6%	.278	7.06	15.0%	-9.3%	21	+1.56	4.57	115	71
Sandro Bargallo L 2021 · 6.70 FIP	19	SP-	6.70	15.8%	26.5%	2.9%	.308	4.91	19.2%	-3.1%	82	-1.79	4.16	129	70
Dominic Scheffler L 2024 · 5.54 FIP	20	SP-	5.54	19.7%	28.4%	0.9%	.348	5.19	16.1%	-4.1%	82	-0.35	4.59	110	70
Edison Suriel L 2018 · 6.39 FIP	19	SU	6.39	16.8%	20.5%	3.8%	.341	2.16	21.4%	14.6%	17	-4.23	2.16	159	69
Jayvien Sandridge L 2018 · 5.17 FIP	19	SU	5.17	15.5%	19.0%	1.8%	.188	6.78	19.0%	-4.9%	13	+1.61	3.25	223	69
Caleb Ferguson L 2015 · 6.00 FIP	19	SW	6.00	13.1%	31.6%	0.0%	.370	3.29	21.4%	13.5%	277	-2.71	2.77	618	68
Colby Langford L 2024 · 5.34 FIP	22	SW	5.34	21.6%	22.5%	2.2%	.273	6.01	22.2%	-1.1%	110	+0.67	4.92	168	68
Jhonny Diaz L 2015 · 5.35 FIP	19	SU	5.35	10.4%	14.0%	2.5%	.270	4.19	8.6%	-0.6%	76	-1.16	3.74	116	68
Roberth Fernandez L 2015 · 5.66 FIP	20	SW	5.66	11.4%	16.2%	2.7%	.356	4.92	14.7%	6.3%	60	-0.74	4.92	103	68
Ryan Anderson L 2021 · 5.71 FIP	22	SP-	5.71	14.7%	26.1%	1.0%	.373	3.73	20.3%	11.0%	149	-1.98	2.80	214	68