Jesus Lopez

P DSL Red Sox Blue

Age 19 RHP ROK

Overview

ROKPROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2026	18	ROKDSL Red Sox B…	11	10	24	2.59	3.35	26.8%	19.6%	—	K 18.2% · BB 24.6% · FIP 4.67
2027PROJ	19	MLBBOS	3	3	14	5.77	5.77	21.8%	20.0%	-0.1
2028PROJ49% MLB	20	MLBBOS	2	2	11	5.42	5.29	22.4%	16.8%	-0.0

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%

CompsEddy Peralta (age 20) · Marlon Nieves (age 19) · Chris Viall (age 20)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 143135vR 126

ERA5.77

FIP5.77

K%21.8%

BB%20.0%

K-BB%1.8%

Proj IP14

Value2027 · WAR

Runs saved vs league avg · 14 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)
2026	18	ROK MLE	DSL Red Sox Blue	11	10	24	112	30	22	0	91%	2.2	18.2%	24.6%	-6.3%	0.0%	2.59	4.67	—
2026	18	ROK MLE	DSL Red Sox Blue	11	10	24	112	30	22	0	91%	2.2	18.2%	24.6%	-6.3%	0.0%	2.59	4.67	—
2026	18	ROK RAW	DSL Red Sox Blue	11	10	24	112	30	22	0	91%	2.2	26.8%	19.6%	7.1%	0.0%	2.59	3.35	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	19	MLB	BOS	3	3	14	59	13	12	2	100%	4.7	21.8%	20.0%	1.8%	2.9%	5.77	5.77	-0.1
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	20	MLB MLE	BOS	4	4	23	97	22	16	3	100%	5.8	22.4%	16.8%	5.5%	2.9%	5.42	5.29	-0.1
2028	20	MLB CTX	BOS	2	2	11	46	10	8	1	100%	5.5	22.4%	16.8%	5.5%	2.9%	5.42	5.29	-0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		2	2	11	48	11	8	1	100%	5.7	22.4%	16.8%	5.5%	2.9%	5.42	4.91	-0.0
/ 200 IP	—	RAW		43	43	200	844	195	142	18	100%	4.6	22.4%	16.8%	5.5%	2.9%	5.42	4.91	-0.0
Career	—	MLE		11	10	24	112	20	28	0	91%	2.2	18.2%	24.6%	-6.3%	0.0%	2.59	4.67	-0.1
/ 200 IP	—	MLE		90	82	200	921	168	226	0	91%	2.2	18.2%	24.6%	-6.3%	0.0%	2.59	4.67	-0.9

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
Jesus Lopez (OGILVIE)	—	—	5.77	21.8%	20.0%	2.9%	—	5.29	22.4%	5.5%	23	-0.48	—	—	—
Eddy Peralta R 2023 · 4.65 FIP	20	SP-	4.65	22.0%	19.8%	1.6%	.342	3.96	21.0%	1.7%	86	-0.69	3.73	117	84
Marlon Nieves R 2024 · 5.63 FIP	19	SP	5.63	17.9%	20.0%	2.8%	.300	4.19	18.6%	1.2%	134	-1.44	3.82	187	81
Chris Viall R 2016 · 5.86 FIP	20	SP-	5.86	18.9%	21.9%	2.9%	.314	5.06	21.3%	5.8%	88	-0.80	4.89	108	80
Peter Heubeck R 2022 · 6.70 FIP	20	SP	6.70	21.9%	20.8%	5.1%	.221	4.52	22.2%	6.6%	243	-2.18	4.08	294	78
Jharold Clemente R 2023 · 4.97 FIP	20	SP	4.97	17.5%	13.6%	3.0%	.258	5.11	13.3%	4.3%	92	+0.14	4.09	116	78
Jared Kelley R 2021 · 5.33 FIP	19	SP	5.33	16.5%	23.2%	1.2%	.312	5.14	16.5%	-1.2%	174	-0.19	4.25	250	78
Tahnaj Thomas R 2018 · 5.06 FIP	19	SP-	5.06	23.0%	15.6%	3.5%	.268	6.04	17.0%	2.7%	61	+0.98	3.81	214	78
Marco Jimenez R 2022 · 5.27 FIP	22	SP-	5.27	19.6%	17.7%	2.9%	.372	3.89	18.3%	6.7%	148	-1.38	3.36	183	77
Eriq Swan R 2024 · 4.85 FIP	22	SP-	4.85	19.7%	17.3%	2.2%	.371	5.28	19.7%	0.9%	109	+0.43	4.85	132	76
Omar Victorino R 2024 · 5.88 FIP	19	SP-	5.88	19.5%	30.3%	1.1%	.302	5.30	13.2%	-5.7%	97	-0.58	5.26	182	76
Chen-Wei Lin R 2023 · 6.48 FIP	21	SP	6.48	21.3%	22.0%	4.4%	.379	3.81	20.5%	8.4%	257	-2.67	3.05	269	76
Tyrone Yulie R 2021 · 6.80 FIP	19	SP	6.80	19.7%	22.1%	4.7%	.324	5.30	18.1%	2.7%	166	-1.50	4.87	265	76
Gio Arriera R 2017 · 5.41 FIP	19	SP	5.41	15.1%	13.9%	3.3%	.333	4.34	15.5%	2.0%	79	-1.07	4.34	185	76
Jackson Fristoe R 2023 · 6.07 FIP	22	SP-	6.07	17.0%	24.2%	2.5%	.258	6.12	15.3%	-2.9%	112	+0.05	4.81	139	76
Daniel Corniel R 2023 · 5.15 FIP	19	SP-	5.15	20.3%	17.1%	2.9%	.364	4.37	15.7%	3.2%	140	-0.78	3.50	218	76
Biembenido Brito R 2022 · 4.64 FIP	19	SP	4.64	24.7%	18.5%	2.3%	.301	5.37	18.7%	-1.3%	91	+0.73	3.58	130	76
Edgar Isea R 2022 · 5.51 FIP	19	SP-	5.51	19.3%	20.3%	2.7%	.371	5.19	21.4%	-4.1%	98	-0.32	4.50	162	75
Alexander Almonte R 2024 · 5.69 FIP	17	SP	5.69	16.2%	13.8%	4.0%	.250	4.82	12.6%	-2.8%	75	-0.87	4.27	100	75
Tanner McDougal R 2023 · 4.96 FIP	20	SP	4.96	19.7%	16.9%	2.5%	.285	4.81	21.3%	8.0%	253	-0.15	3.82	323	75
Dylan Questad R 2024 · 6.95 FIP	19	SP-	6.95	17.6%	24.0%	4.2%	.392	6.50	17.3%	-5.3%	89	-0.45	6.31	117	74