Jefersson Marte

P DSL Rojos

Age 19 RHP 6'0" / 170 lbs ROK

Overview

ROKPROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2025	17	ROKDSL Rojos	14	20	9.45	6.00	16.7%	21.6%	—	K 11.3% · BB 27.0% · FIP 7.08
2026	18	ROKDSL Rojos	10	9	19.29	9.96	13.6%	30.5%	—	K 9.2% · BB 38.1% · FIP 9.76
2027PROJ	19	MLB—	8	8	6.04	6.04	19.4%	20.0%	-0.1
2028PROJ49% MLB	20	MLB—	10	10	5.66	5.52	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 1% · didn't stick 99%

CompsAlejandro Lugo (age 18) · Jonathan Jimenez (age 19) · Elison Joseph (age 20)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 148140vR 132

ERA6.04

FIP6.04

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 Rojos	14	0	20	102	17	22	2	0%	1.4	11.3%	27.0%	-15.6%	2.8%	9.45	7.08	—
2025	17	ROK MLE	DSL Rojos	14	0	20	102	17	22	2	0%	1.4	11.3%	27.0%	-15.6%	2.8%	9.45	7.08	—
2025	17	ROK RAW	DSL Rojos	14	0	20	102	17	22	2	0%	1.4	16.7%	21.6%	-4.9%	2.0%	9.45	6.00	—
2026	18	ROK MLE	DSL Rojos	10	0	9	59	8	18	2	0%	0.9	9.2%	38.1%	-28.9%	4.7%	19.29	9.76	—
2026	18	ROK MLE	DSL Rojos	10	0	9	59	8	18	2	0%	0.9	9.2%	38.1%	-28.9%	4.7%	19.29	9.76	—
2026	18	ROK RAW	DSL Rojos	10	0	9	59	8	18	2	0%	0.9	13.6%	30.5%	-16.9%	3.4%	19.29	9.96	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	19	MLB	—	8	0	8	34	7	7	1	0%	1.0	19.4%	20.0%	-0.6%	3.0%	6.04	6.04	-0.1
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	20	MLB MLE	—	19	0	20	84	17	14	3	0%	1.1	20.4%	16.8%	3.6%	3.0%	5.66	5.52	-0.2
2028	20	MLB CTX	—	10	0	10	42	9	7	1	0%	1.0	20.4%	16.8%	3.6%	3.0%	5.66	5.52	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		9	0	10	42	8	7	1	0%	1.1	20.4%	16.8%	3.6%	3.0%	5.66	5.14	-0.1
/ 200 IP	—	RAW		190	0	200	844	163	142	20	0%	1.1	20.4%	16.8%	3.6%	3.0%	5.66	5.14	-1.4
Career	—	MLE		24	0	29	161	17	50	6	0%	1.2	10.6%	31.1%	-20.5%	3.5%	12.58	8.06	-0.2
/ 200 IP	—	MLE		164	0	200	1098	116	341	38	0%	1.2	10.6%	31.1%	-20.5%	3.5%	12.58	8.06	-2.3

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
Jefersson Marte (OGILVIE)	—	—	6.04	19.4%	20.0%	3.0%	—	5.52	20.4%	3.6%	20	-0.52	—	—	—
Alejandro Lugo R 2021 · 4.91 FIP	18	SU	4.91	20.4%	16.7%	2.6%	.265	4.96	16.7%	3.1%	98	+0.05	3.77	159	88
Jonathan Jimenez R 2023 · 5.41 FIP	19	SU	5.41	16.4%	16.2%	3.0%	.333	5.09	14.1%	2.2%	178	-0.32	3.49	189	88
Elison Joseph R 2021 · 5.31 FIP	20	SU	5.31	17.4%	19.2%	2.3%	.254	4.55	23.5%	6.8%	133	-0.76	3.32	217	87
Enrique Saldana R 2018 · 6.54 FIP	19	SU	6.54	15.4%	25.9%	2.6%	.310	3.85	14.6%	6.3%	80	-2.69	2.96	109	87
Daniel Lloyd R 2021 · 5.40 FIP	20	SU	5.40	20.4%	22.4%	2.2%	.367	4.15	18.0%	8.5%	226	-1.25	3.59	319	87
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	86
Carlos De Los Santos R 2019 · 5.68 FIP	18	SU	5.68	16.9%	16.0%	3.6%	.286	3.95	20.9%	3.2%	86	-1.73	3.67	173	86
Michell Miliano R 2019 · 7.22 FIP	19	SU	7.22	22.2%	30.4%	3.9%	.279	5.47	24.3%	-0.4%	76	-1.75	4.42	205	86
Jackson Rose R 2018 · 5.32 FIP	22	SU	5.32	17.3%	17.2%	2.8%	.267	4.77	23.5%	16.5%	56	-0.55	3.33	147	84
Jose G. Gonzalez R 2021 · 5.42 FIP	19	SU	5.42	16.2%	22.7%	1.5%	.320	4.81	15.6%	0.6%	94	-0.61	3.63	165	84
Greg Weissert R 2016 · 5.22 FIP	21	SU	5.22	19.4%	19.3%	2.4%	.382	3.80	23.0%	10.3%	126	-1.42	2.57	487	84
Hudson Leach R 2024 · 5.37 FIP	22	SU	5.37	20.5%	20.0%	2.7%	.261	4.54	20.9%	3.1%	71	-0.83	2.77	101	83
Junior Flores R 2021 · 5.28 FIP	19	SU	5.28	20.5%	24.1%	1.6%	.220	4.93	14.5%	-3.9%	92	-0.35	4.87	110	83
Adrian Rodriguez R 2021 · 6.92 FIP	20	SU	6.92	23.1%	34.0%	2.7%	.368	5.46	23.1%	-1.6%	93	-1.46	2.43	148	83
Angel Reyes R 2018 · 4.91 FIP	20	SU	4.91	16.5%	19.4%	1.4%	.328	4.51	17.1%	5.7%	119	-0.40	3.99	308	83
Andrew Schultz R 2019 · 5.25 FIP	22	SU	5.25	20.9%	17.8%	3.0%	.345	4.59	23.0%	4.7%	45	-0.66	3.56	176	83
Erian Rodriguez R 2022 · 5.51 FIP	20	SU	5.51	16.2%	19.8%	2.3%	.378	4.16	16.2%	3.6%	241	-1.35	3.81	287	83
Brendan Hardy R 2018 · 5.18 FIP	18	SU	5.18	17.0%	19.7%	1.8%	.227	6.99	15.9%	-17.2%	25	+1.81	2.54	137	83
Nick Kuzia R 2017 · 5.18 FIP	21	SU	5.18	16.5%	15.2%	2.8%	.361	5.35	17.6%	6.6%	60	+0.17	4.54	231	82
Michael Arias R 2021 · 5.06 FIP	19	SU	5.06	15.0%	17.5%	1.8%	.226	4.39	22.3%	4.7%	155	-0.67	3.79	253	82