Matteo Marelli

P DSL Mets Blue

Age 21 RHP 6'2" / 215 lbs ROK

Overview

ROKPROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2025	19	ROKDSL Mets Blue	6	2	14	9.22	5.51	14.8%	23.5%	—	K 10.1% · BB 29.3% · FIP 5.96
2027PROJ	21	MLBNYM	8	0	8	5.63	5.63	21.5%	18.4%	-0.1
2028PROJ49% MLB	22	MLBNYM	10	0	10	5.28	5.13	22.6%	15.5%	-0.1

Next 2 projected WAR -0.2Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

CompsRadhames Liz (age 23) · Hansel Rosario (age 21) · Juan Mendez (age 22)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 140132vR 124

ERA5.63

FIP5.63

K%21.5%

BB%18.4%

K-BB%3.1%

Proj IP8

Value2027 · WAR

Runs saved vs league avg · 8 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	19	ROK MLE	DSL Mets Blue	6	2	14	81	12	19	0	33%	2.3	10.1%	29.3%	-19.2%	0.0%	9.22	5.96	—
2025	19	ROK MLE	DSL Mets Blue	6	2	14	81	12	19	0	33%	2.3	10.1%	29.3%	-19.2%	0.0%	9.22	5.96	—
2025	19	ROK RAW	DSL Mets Blue	6	2	14	81	12	19	0	33%	2.3	14.8%	23.5%	-8.6%	0.0%	9.22	5.51	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	21	MLB	NYM	8	0	8	34	7	6	1	0%	1.0	21.5%	18.4%	3.1%	3.0%	5.63	5.63	-0.1
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	22	MLB MLE	NYM	19	0	20	84	19	13	2	0%	1.1	22.6%	15.5%	7.1%	2.9%	5.28	5.13	-0.1
2028	22	MLB CTX	NYM	10	0	10	42	10	7	1	0%	1.0	22.6%	15.5%	7.1%	2.9%	5.28	5.13	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		9	0	10	42	9	6	1	0%	1.1	22.6%	15.5%	7.1%	2.9%	5.28	4.75	-0.0
/ 200 IP	—	RAW		190	0	200	844	183	122	20	0%	1.1	22.6%	15.5%	7.1%	2.9%	5.28	4.75	-0.5
Career	—	MLE		6	2	14	81	8	24	0	33%	2.3	10.1%	29.3%	-19.2%	0.0%	9.22	5.96	-0.1
/ 200 IP	—	MLE		88	29	200	1185	119	348	0	33%	2.3	10.1%	29.3%	-19.2%	0.0%	9.22	5.96	-1.3

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
Matteo Marelli (OGILVIE)	—	—	5.63	21.5%	18.4%	3.0%	—	5.13	22.6%	7.1%	20	-0.50	—	—	—
Radhames Liz R 2007 · 5.07 FIP	23	SW	5.07	19.7%	18.0%	2.5%	.301	5.66	14.5%	2.3%	84	+0.59	2.81	219	84
Hansel Rosario R 2024 · 5.54 FIP	21	SW	5.54	19.2%	22.2%	2.3%	.306	7.16	16.3%	-21.0%	19	+1.62	5.25	107	81
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	81
Nestor Lorant R 2023 · 5.53 FIP	21	SW	5.53	18.7%	18.2%	3.1%	.280	3.86	20.5%	11.3%	249	-1.67	2.73	373	80
Keegan Collett R 2019 · 5.05 FIP	21	SW	5.05	21.9%	24.6%	1.2%	.321	4.68	29.1%	9.0%	84	-0.37	3.93	184	80
Lisandro Almonte R 2023 · 5.54 FIP	21	SP-	5.54	20.4%	20.7%	2.8%	.274	3.81	20.7%	12.2%	15	-1.73	3.81	128	80
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	80
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	79
Blane Abeyta R 2021 · 4.66 FIP	22	SP-	4.66	21.1%	18.2%	1.9%	.283	4.78	15.6%	6.4%	343	+0.12	4.24	489	78
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	78
Jordan Brink R 2016 · 5.96 FIP	23	SW	5.96	18.3%	19.2%	3.6%	.233	—	—	—	—	—	3.99	132	77
Wilian Bormie R 2023 · 5.84 FIP	22	SP-	5.84	21.6%	20.4%	3.6%	.275	4.13	23.2%	9.3%	203	-1.71	3.51	226	77
Jordarlin Mendoza R 2024 · 4.50 FIP	20	SW	4.50	22.1%	18.6%	1.7%	.368	5.96	17.9%	-0.0%	49	+1.46	3.33	147	77
Trayson Kubo R 2019 · 5.01 FIP	21	SW	5.01	19.8%	15.6%	2.9%	.450	4.82	17.7%	1.4%	66	-0.19	4.48	107	77
Keegan Zinn R 2024 · 6.40 FIP	19	SP-	6.40	19.1%	19.5%	4.4%	.318	5.80	19.0%	-1.9%	112	-0.60	4.88	145	77
Reynardo Cruz R 2022 · 5.44 FIP	20	SW	5.44	16.1%	18.2%	2.5%	.252	4.85	16.3%	-1.2%	66	-0.59	3.96	216	77
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	76
Kevin Abel R 2022 · 5.92 FIP	23	SW	5.92	25.2%	22.4%	3.9%	.441	4.63	18.6%	4.5%	308	-1.29	4.50	450	76
Ryan Cardona R 2022 · 5.07 FIP	22	SW	5.07	20.9%	17.7%	2.7%	.274	4.27	18.5%	4.3%	292	-0.80	3.62	367	76
Jhoster Baez R 2024 · 4.57 FIP	19	SP-	4.57	17.3%	14.8%	1.9%	.283	5.93	15.9%	-5.0%	73	+1.36	4.57	110	75