Angel Lopez

P DSL Red Sox Blue

Age 19 RHP 5'10" / 155 lbs ROK

Overview

ROKPROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2025	17	ROKDSL Red Sox B…	8	3	18	6.11	3.33	23.2%	17.1%	—	K 15.8% · BB 21.3% · FIP 4.47
2026	18	ROKDSL Red Sox B…	16	1	17	11.34	4.72	20.9%	14.3%	—	K 14.2% · BB 17.9% · FIP 5.85
2027PROJ	19	MLBBOS	10	0	10	5.46	5.46	20.4%	16.4%	-0.1
2028PROJ49% MLB	20	MLBBOS	10	0	10	5.19	5.09	21.1%	14.2%	-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 100%

CompsAlejandro Lugo (age 18) · Michael Perez (age 21) · Raimon Gomez (age 19)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 137129vR 121

ERA5.46

FIP5.46

K%20.4%

BB%16.4%

K-BB%4.0%

Proj IP10

Value2027 · WAR

Runs saved vs league avg · 10 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 Red Sox Blue	8	3	18	82	19	14	0	38%	2.2	15.8%	21.3%	-5.6%	0.0%	6.11	4.47	—
2025	17	ROK MLE	DSL Red Sox Blue	8	3	18	82	19	14	0	38%	2.2	15.8%	21.3%	-5.6%	0.0%	6.11	4.47	—
2025	17	ROK RAW	DSL Red Sox Blue	8	3	18	82	19	14	0	38%	2.2	23.2%	17.1%	6.1%	0.0%	6.11	3.33	—
2026	18	ROK MLE	DSL Red Sox Blue	16	1	17	91	19	13	2	6%	1.0	14.2%	17.9%	-3.7%	3.1%	11.34	5.85	—
2026	18	ROK MLE	DSL Red Sox Blue	16	1	17	91	19	13	2	6%	1.0	14.2%	17.9%	-3.7%	3.1%	11.34	5.85	—
2026	18	ROK RAW	DSL Red Sox Blue	16	1	17	91	19	13	2	6%	1.0	20.9%	14.3%	6.6%	2.2%	11.34	4.72	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	19	MLB	BOS	10	0	10	42	9	7	1	0%	1.0	20.4%	16.4%	4.0%	3.0%	5.46	5.46	-0.1
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	20	MLB MLE	BOS	19	0	20	84	18	12	2	0%	1.1	21.1%	14.2%	7.0%	2.9%	5.19	5.09	-0.1
2028	20	MLB CTX	BOS	10	0	10	42	9	6	1	0%	1.0	21.1%	14.2%	7.0%	2.9%	5.19	5.09	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		9	0	10	42	9	6	1	0%	1.1	21.1%	14.2%	7.0%	2.9%	5.19	4.71	-0.0
/ 200 IP	—	RAW		190	0	200	844	183	122	20	0%	1.1	21.1%	14.2%	7.0%	2.9%	5.19	4.71	-0.4
Career	—	MLE		24	4	34	173	26	34	3	17%	1.4	14.9%	19.5%	-4.6%	1.6%	8.65	5.20	-0.1
/ 200 IP	—	MLE		140	23	200	1008	151	197	16	17%	1.4	14.9%	19.5%	-4.6%	1.6%	8.65	5.20	-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
Angel Lopez (OGILVIE)	—	—	5.46	20.4%	16.4%	3.0%	—	5.09	21.1%	7.0%	20	-0.37	—	—	—
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
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	87
Raimon Gomez R 2021 · 4.90 FIP	19	SW	4.90	17.3%	13.6%	2.8%	.265	3.28	19.5%	8.0%	48	-1.62	3.28	103	86
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	84
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	84
Efrailin Ramos R 2024 · 4.31 FIP	18	SU	4.31	21.0%	15.7%	1.8%	.284	3.35	17.0%	6.4%	106	-0.96	3.11	142	84
Michael Brewer R 2021 · 4.30 FIP	20	SU	4.30	23.7%	16.2%	2.1%	.303	4.69	19.7%	6.3%	114	+0.39	3.14	144	83
Tommy DeJuneas R 2017 · 4.72 FIP	21	SU	4.72	19.1%	15.5%	2.3%	.357	4.59	20.8%	4.9%	100	-0.13	3.93	178	83
Will Varmette R 2024 · 5.06 FIP	21	SU	5.06	22.8%	19.3%	2.6%	.302	5.13	16.1%	2.3%	135	+0.07	4.69	182	82
Isaac Gallegos R 2024 · 4.40 FIP	21	SU	4.40	22.9%	17.8%	1.8%	.267	3.09	19.9%	10.5%	106	-1.31	2.89	125	82
Tim Naughton R 2017 · 4.53 FIP	21	SU	4.53	17.9%	15.6%	1.8%	.312	3.58	20.7%	6.4%	83	-0.95	2.93	305	82
Will Kobos R 2018 · 5.58 FIP	20	SW	5.58	19.3%	16.0%	3.8%	.313	3.46	26.6%	11.6%	76	-2.12	2.44	139	82
Paul Gervase R 2022 · 4.91 FIP	22	SU	4.91	20.3%	16.2%	2.7%	.345	3.76	29.3%	16.0%	152	-1.15	3.38	211	82
Over Galue R 2021 · 5.01 FIP	20	SW	5.01	17.5%	17.0%	2.2%	.346	4.16	18.2%	3.6%	94	-0.85	4.16	122	82
Brandon Dufault R 2021 · 5.32 FIP	22	SU	5.32	22.1%	15.9%	3.8%	.278	4.83	21.0%	4.2%	66	-0.49	4.38	152	81
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	81
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	81
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	81
Gerson Moreno R 2016 · 4.48 FIP	20	SU	4.48	18.6%	14.8%	2.0%	.278	4.13	23.0%	9.1%	67	-0.35	3.37	349	81
Daniel Procopio R 2017 · 4.33 FIP	21	SU	4.33	23.4%	18.8%	1.5%	.283	4.43	20.5%	6.5%	81	+0.10	4.16	103	81