Angel Montero

P DSL Mets Orange

Age 19 LHP 6'4" / 175 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	13	6	27	4.72	4.53	23.0%	22.1%	—	K 15.6% · BB 27.7% · FIP 5.87
2026	18	ROKDSL Mets Oran…	4	4	14	3.21	3.96	23.7%	15.3%	—	K 16.1% · BB 19.1% · FIP 5.46
2027PROJ	19	MLBNYM	2	2	11	5.79	5.79	21.0%	19.4%	-0.1
2028PROJ49% MLB	20	MLBNYM	2	2	12	5.45	5.32	21.6%	16.4%	-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 97%

CompsSpencer Giesting (age 21) · Gabe Morales (age 19) · Sandro Bargallo (age 19)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 127135vR 143

ERA5.79

FIP5.79

K%21.0%

BB%19.4%

K-BB%1.6%

Proj IP11

Value2027 · WAR

Runs saved vs league avg · 11 IP

Grades · Contract

Scouting Grades

K†5050

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	13	6	27	122	28	27	1	46%	2.1	15.6%	27.7%	-12.1%	1.1%	4.72	5.87	—
2025	17	ROK MLE	DSL Mets Blue	13	6	27	122	28	27	1	46%	2.1	15.6%	27.7%	-12.1%	1.1%	4.72	5.87	—
2025	17	ROK RAW	DSL Mets Blue	13	6	27	122	28	27	1	46%	2.1	23.0%	22.1%	0.8%	0.8%	4.72	4.53	—
2026	18	ROK MLE	DSL Mets Orange	4	4	14	59	14	9	1	100%	3.5	16.1%	19.1%	-2.9%	2.4%	3.21	5.46	—
2026	18	ROK MLE	DSL Mets Orange	4	4	14	59	14	9	1	100%	3.5	16.1%	19.1%	-2.9%	2.4%	3.21	5.46	—
2026	18	ROK RAW	DSL Mets Orange	4	4	14	59	14	9	1	100%	3.5	23.7%	15.3%	8.5%	1.7%	3.21	3.96	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	19	MLB	NYM	2	2	11	46	10	9	1	100%	5.5	21.0%	19.4%	1.6%	3.0%	5.79	5.79	-0.1
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	20	MLB MLE	NYM	5	5	25	106	23	17	3	100%	5.0	21.6%	16.4%	5.2%	2.9%	5.45	5.32	-0.1
2028	20	MLB CTX	NYM	2	2	12	51	11	8	1	100%	6.0	21.6%	16.4%	5.2%	2.9%	5.45	5.32	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		3	3	12	52	11	9	2	100%	4.1	21.6%	16.4%	5.2%	2.9%	5.45	4.94	-0.0
/ 200 IP	—	RAW		43	43	200	844	178	145	32	100%	4.6	21.6%	16.4%	5.2%	2.9%	5.45	4.94	-0.1
Career	—	MLE		17	10	41	181	29	45	3	59%	2.4	15.8%	24.9%	-9.1%	1.5%	4.20	5.73	-0.1
/ 200 IP	—	MLE		84	49	200	890	140	221	13	59%	2.4	15.8%	24.9%	-9.1%	1.5%	4.20	5.73	-1.0

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
Angel Montero (OGILVIE)	—	—	5.79	21.0%	19.4%	3.0%	—	5.32	21.6%	5.2%	25	-0.47	—	—	—
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	81
Gabe Morales L 2018 · 5.12 FIP	19	SP-	5.12	19.3%	21.0%	1.8%	.313	4.23	22.9%	8.7%	124	-0.89	2.92	268	81
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	81
Luichi Casilla L 2024 · 4.62 FIP	19	SP-	4.62	22.4%	20.2%	1.6%	.372	2.62	25.7%	16.1%	34	-2.00	2.62	133	79
Liam Sullivan L 2023 · 5.78 FIP	21	SP	5.78	25.7%	20.5%	4.1%	.290	5.79	20.9%	7.2%	141	+0.01	4.45	156	78
Brandon Herbold L 2024 · 6.27 FIP	19	SP-	6.27	17.2%	17.6%	4.3%	.296	5.06	19.8%	-3.9%	44	-1.21	3.72	105	78
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	76
Jeremy Peguero L 2021 · 4.63 FIP	19	SW	4.63	17.3%	17.2%	1.5%	.345	4.08	20.1%	0.6%	87	-0.55	3.52	126	75
Reinold Navarro L 2024 · 4.92 FIP	17	SP	4.92	21.7%	22.6%	1.4%	.211	4.32	29.4%	5.7%	95	-0.60	3.55	119	75
Junior Tavera L 2024 · 6.14 FIP	17	SP-	6.14	18.0%	31.6%	1.0%	.385	5.41	16.6%	-2.3%	85	-0.73	5.12	101	75
Miguel Gutierrez L 2015 · 5.58 FIP	20	SP-	5.58	14.3%	21.8%	1.7%	.240	4.24	14.9%	-4.1%	64	-1.34	3.91	103	74
Jeremy Pilon L 2024 · 4.86 FIP	18	SP-	4.86	22.1%	21.7%	1.6%	.279	4.10	17.9%	-1.9%	83	-0.76	3.99	144	72
Noel Vela L 2018 · 5.10 FIP	19	SP-	5.10	17.0%	16.0%	2.6%	.404	4.61	20.2%	5.2%	98	-0.49	4.48	255	72
Dylan MacLean L 2021 · 6.38 FIP	19	SP	6.38	13.6%	27.9%	1.6%	.271	4.11	15.7%	5.3%	101	-2.27	3.45	282	72
Nate Savino L 2024 · 5.85 FIP	22	SP	5.85	16.8%	18.8%	3.2%	.244	4.83	14.9%	2.0%	130	-1.02	4.26	176	72
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	71
Edgardo Ibarra L 2022 · 5.37 FIP	19	SW	5.37	16.2%	16.6%	2.8%	.250	5.26	14.4%	-5.7%	63	-0.11	5.26	142	71
Bryce Hubbart L 2023 · 5.87 FIP	22	SW	5.87	17.0%	26.0%	1.7%	.303	5.28	17.9%	4.2%	149	-0.59	4.79	194	71
Liam Norris L 2021 · 6.27 FIP	19	SP	6.27	17.4%	30.7%	1.4%	.396	5.46	24.2%	4.1%	119	-0.81	3.98	184	71
Juan Rojas L 2023 · 5.60 FIP	19	SP-	5.60	13.5%	14.4%	3.3%	.286	4.28	16.9%	2.0%	178	-1.32	2.74	282	71