Eduardo Pina

P DSL Mets Blue

Age 18 LHP ROK peak 0.3 · 2028

Overview

ROKPROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2026	17	ROKDSL Mets Blue	8	5	19	2.89	1.87	27.1%	7.1%	—	K 18.5% · BB 8.9% · FIP 2.67
2027PROJ	18	MLBNYM	2	2	11	4.35	4.35	22.3%	9.0%	0.1
2028PROJ49% MLB	19	MLBNYM	2	2	10	4.29	4.25	22.8%	8.8%	0.1

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 98%

CompsJames Gonzalez (age 18) · Juan Rojas (age 18) · Johan Simon (age 20)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 100108vR 116

ERA4.35

FIP4.35

K%22.3%

BB%9.0%

K-BB%13.3%

Proj IP11

Value2027 · WAR

Runs saved vs league avg · 11 IP

Grades · Contract

Scouting Grades

K†5555

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	8	5	19	70	19	5	0	62%	2.3	18.5%	8.9%	9.5%	0.0%	2.89	2.67	—
2026	17	ROK MLE	DSL Mets Blue	8	5	19	70	19	5	0	62%	2.3	18.5%	8.9%	9.5%	0.0%	2.89	2.67	—
2026	17	ROK RAW	DSL Mets Blue	8	5	19	70	19	5	0	62%	2.3	27.1%	7.1%	20.0%	0.0%	2.89	1.87	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	18	MLB	NYM	2	2	11	46	10	4	1	100%	5.5	22.3%	9.0%	13.3%	2.9%	4.35	4.35	+0.1
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	19	MLB MLE	NYM	4	4	20	84	19	7	2	100%	5.0	22.8%	8.8%	14.1%	2.9%	4.29	4.25	+0.2
2028	19	MLB CTX	NYM	2	2	10	42	10	4	1	100%	5.0	22.8%	8.8%	14.1%	2.9%	4.29	4.25	+0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		2	2	10	42	9	4	1	100%	4.9	22.8%	8.8%	14.1%	2.9%	4.29	3.87	+0.1
/ 200 IP	—	RAW		46	46	200	844	183	81	20	100%	4.3	22.8%	8.8%	14.1%	2.9%	4.29	3.87	+2.5
Career	—	MLE		8	5	19	70	13	6	0	62%	2.3	18.5%	8.9%	9.5%	0.0%	2.89	2.67	+0.2
/ 200 IP	—	MLE		86	54	200	750	138	67	0	62%	2.3	18.5%	8.9%	9.5%	0.0%	2.89	2.67	+1.5

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
Eduardo Pina (OGILVIE)	—	—	4.35	22.3%	9.0%	2.9%	—	4.25	22.8%	14.1%	20	-0.10	—	—	—
James Gonzalez L 2019 · 3.47 FIP	18	SP-	3.47	18.7%	7.8%	1.8%	.327	4.87	17.1%	7.0%	91	+1.40	2.31	489	84
Juan Rojas L 2022 · 3.66 FIP	18	SP-	3.66	23.0%	7.6%	2.8%	.279	4.29	15.9%	2.4%	164	+0.63	2.74	282	79
Johan Simon L 2021 · 3.51 FIP	20	SP-	3.51	19.8%	10.2%	1.4%	.302	4.50	17.6%	1.1%	41	+0.99	3.45	178	78
Robinson Ortiz L 2018 · 3.85 FIP	18	SP-	3.85	21.0%	11.0%	2.1%	.312	5.36	15.2%	0.6%	98	+1.51	2.29	276	78
Blake Townsend L 2021 · 3.78 FIP	20	SP-	3.78	26.7%	11.2%	2.8%	.286	4.01	18.5%	4.8%	96	+0.23	3.34	305	75
Denny Roman L 2018 · 3.24 FIP	19	SW	3.24	25.6%	6.9%	2.6%	.348	5.55	15.7%	-1.0%	21	+2.31	3.24	109	75
Luke Little L 2021 · 4.02 FIP	20	SP-	4.02	25.8%	12.5%	2.8%	.200	2.91	28.0%	12.3%	155	-1.11	2.74	277	73
Bodi Rascon L 2021 · 4.18 FIP	20	SP-	4.18	15.4%	8.8%	2.3%	.271	5.30	15.7%	3.9%	143	+1.12	4.18	218	73
Jacob Lopez L 2018 · 3.66 FIP	20	SW	3.66	24.3%	7.9%	2.9%	.302	3.53	30.4%	21.6%	55	-0.13	3.45	546	73
Jordan Woods L 2024 · 4.51 FIP	20	SP	4.51	20.5%	10.3%	3.3%	.329	4.18	20.5%	8.3%	139	-0.33	3.92	170	72
Zhiorman Imbriano L 2021 · 3.82 FIP	18	SP-	3.82	14.1%	6.5%	2.0%	.375	4.99	13.0%	-5.8%	83	+1.17	3.82	100	71
Jackson Stoeckinger L 2017 · 3.19 FIP	21	SP-	3.19	18.7%	7.7%	1.2%	.365	4.82	13.1%	7.3%	157	+1.63	3.19	184	71
Thomas Ireland L 2023 · 4.64 FIP	21	SP-	4.64	16.7%	8.7%	3.4%	.286	3.79	17.1%	7.8%	206	-0.85	2.95	250	70
Elier Morillo L 2023 · 4.12 FIP	17	SP-	4.12	18.1%	12.7%	1.7%	.418	4.31	28.7%	8.3%	89	+0.19	2.67	115	68
Luifer Romero L 2023 · 4.34 FIP	18	SW	4.34	13.9%	6.6%	2.9%	.321	3.58	18.1%	4.7%	53	-0.76	3.08	106	68
Dalton Lehnen L 2017 · 3.95 FIP	21	SP	3.95	19.8%	7.6%	2.8%	.398	4.49	15.8%	2.9%	189	+0.54	3.95	222	67
Brayan Mendoza L 2022 · 5.29 FIP	18	SP-	5.29	17.9%	15.0%	3.3%	.273	3.89	17.1%	6.3%	221	-1.40	3.59	398	67
Sterling Patick L 2024 · 3.47 FIP	19	SP	3.47	16.0%	9.8%	0.9%	.295	4.55	19.2%	7.1%	188	+1.08	3.47	220	65
Alex Ayala Jr. L 2022 · 4.20 FIP	20	SW	4.20	20.7%	12.3%	2.3%	.271	5.99	13.6%	-3.1%	71	+1.79	4.20	128	65
Jagger Haynes L 2023 · 4.25 FIP	20	SP	4.25	19.7%	13.0%	2.1%	.303	4.98	17.7%	3.9%	349	+0.73	4.25	374	65