Edgardo Rodriguez

P DSL Mets Blue

Age 18 RHP ROK

Overview

ROKPROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2026	17	ROKDSL Mets Blue	12	16	12.94	8.22	10.5%	22.1%	—	K 7.2% · BB 27.6% · FIP 8.42
2027PROJ	18	MLBNYM	10	10	6.08	6.08	18.9%	20.0%	-0.2
2028PROJ49% MLB	19	MLBNYM	10	10	5.69	5.55	20.1%	16.8%	-0.1

Next 2 projected WAR -0.3Projected 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%

CompsCarlos De Los Santos (age 18) · Jonathan Jimenez (age 19) · Alejandro Lugo (age 18)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 149140vR 132

ERA6.08

FIP6.08

K%18.9%

BB%20.0%

K-BB%-1.1%

Proj IP10

Value2027 · WAR

Runs saved vs league avg · 10 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)
2026	17	ROK MLE	DSL Mets Blue	12	0	16	95	10	21	3	0%	1.3	7.2%	27.6%	-20.5%	4.4%	12.94	8.42	—
2026	17	ROK MLE	DSL Mets Blue	12	0	16	95	10	21	3	0%	1.3	7.2%	27.6%	-20.5%	4.4%	12.94	8.42	—
2026	17	ROK RAW	DSL Mets Blue	12	0	16	95	10	21	3	0%	1.3	10.5%	22.1%	-11.6%	3.2%	12.94	8.22	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	18	MLB	NYM	10	0	10	42	8	8	1	0%	1.0	18.9%	20.0%	-1.1%	3.0%	6.08	6.08	-0.2
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	19	MLB MLE	NYM	19	0	20	84	17	14	3	0%	1.1	20.1%	16.8%	3.2%	3.0%	5.69	5.55	-0.2
2028	19	MLB CTX	NYM	10	0	10	42	8	7	1	0%	1.0	20.1%	16.8%	3.2%	3.0%	5.69	5.55	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		9	0	10	42	8	7	1	0%	1.1	20.1%	16.8%	3.2%	3.0%	5.69	5.17	-0.1
/ 200 IP	—	RAW		190	0	200	844	163	142	20	0%	1.1	20.1%	16.8%	3.2%	3.0%	5.69	5.17	-1.5
Career	—	MLE		12	0	16	95	7	26	4	0%	1.3	7.2%	27.6%	-20.5%	4.4%	12.94	8.42	-0.2
/ 200 IP	—	MLE		150	0	200	1188	85	328	52	0%	1.3	7.2%	27.6%	-20.5%	4.4%	12.94	8.42	-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
Edgardo Rodriguez (OGILVIE)	—	—	6.08	18.9%	20.0%	3.0%	—	5.55	20.1%	3.2%	20	-0.53	—	—	—
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	89
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
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	87
Kendeglys Virguez R 2022 · 5.34 FIP	18	SU	5.34	17.7%	20.7%	2.1%	.359	4.93	18.5%	4.0%	79	-0.41	4.10	142	87
Danny Hilario R 2023 · 5.65 FIP	18	SU	5.65	17.8%	19.4%	2.9%	.241	3.68	17.2%	6.9%	68	-1.97	3.58	107	87
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	86
Christian Rodriguez R 2023 · 5.51 FIP	18	SU	5.51	15.5%	21.4%	1.8%	.268	4.93	17.0%	1.1%	169	-0.58	4.34	183	86
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	86
Jesus Colina R 2023 · 5.30 FIP	18	SU	5.30	15.3%	15.2%	2.9%	.265	4.00	17.2%	7.6%	103	-1.30	3.82	128	85
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	85
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	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
Juan Arnaud R 2022 · 6.33 FIP	19	SU	6.33	14.6%	23.7%	2.7%	.330	4.40	18.8%	1.6%	102	-1.93	3.43	184	83
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	83
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
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	82
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	82
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	81
Yonaiker Garcia R 2019 · 5.57 FIP	18	SU	5.57	14.8%	23.6%	1.3%	.258	4.24	14.3%	-0.4%	67	-1.33	3.66	108	81
Natanael Garabitos R 2019 · 5.80 FIP	18	SU	5.80	13.6%	23.6%	1.6%	.296	5.11	21.3%	1.6%	85	-0.69	4.25	221	81