Jarol Lopez

P DSL Colorado

Age 18 RHP ROK

Overview

ROKPROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2026	17	ROKDSL Colorado	11	2	31	4.60	3.45	22.9%	8.6%	—	K 15.5% · BB 10.7% · FIP 4.79
2027PROJ	18	MLB—	18	0	19	4.70	4.70	20.6%	10.3%	-0.0
2028PROJ49% MLB	19	MLB—	14	0	15	4.58	4.53	21.3%	9.7%	0.0

Next 2 projected WAR -0.0Projected 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 99%

CompsAnderson Cardenas (age 18) · Brandon Komar (age 20) · Wilmy Sanchez (age 18)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 122114vR 106

ERA4.70

FIP4.70

K%20.6%

BB%10.3%

K-BB%10.2%

Proj IP19

Value2027 · WAR

Runs saved vs league avg · 19 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)
2026	17	ROK MLE	DSL Colorado	11	2	31	140	32	12	3	18%	2.8	15.5%	10.7%	4.8%	3.0%	4.60	4.79	—
2026	17	ROK MLE	DSL Colorado	11	2	31	140	32	12	3	18%	2.8	15.5%	10.7%	4.8%	3.0%	4.60	4.79	—
2026	17	ROK RAW	DSL Colorado	11	2	31	140	32	12	3	18%	2.8	22.9%	8.6%	14.3%	2.1%	4.60	3.45	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	18	MLB	—	18	0	19	80	17	8	2	0%	1.1	20.6%	10.3%	10.2%	3.0%	4.70	4.70	-0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	19	MLB MLE	—	28	0	30	125	27	12	4	0%	1.1	21.3%	9.7%	11.6%	2.9%	4.58	4.53	+0.0
2028	19	MLB CTX	—	14	0	15	63	13	6	2	0%	1.1	21.3%	9.7%	11.6%	2.9%	4.58	4.53	+0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		14	0	15	61	13	6	2	0%	1.0	21.3%	9.7%	11.6%	2.9%	4.58	4.15	+0.1
/ 200 IP	—	RAW		190	0	200	844	179	82	27	0%	1.1	21.3%	9.7%	11.6%	2.9%	4.58	4.15	+1.0
Career	—	MLE		11	2	31	140	22	15	4	18%	2.8	15.5%	10.7%	4.8%	3.0%	4.60	4.79	+0.0
/ 200 IP	—	MLE		70	13	200	894	139	96	27	18%	2.8	15.5%	10.7%	4.8%	3.0%	4.60	4.79	+0.0

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
Jarol Lopez (OGILVIE)	—	—	4.70	20.6%	10.3%	3.0%	—	4.53	21.3%	11.6%	30	-0.17	—	—	—
Anderson Cardenas R 2024 · 4.90 FIP	18	SW	4.90	19.5%	11.9%	3.5%	.235	3.52	22.2%	8.8%	58	-1.38	3.52	129	86
Brandon Komar R 2019 · 4.77 FIP	20	SW	4.77	17.7%	11.6%	3.1%	.327	4.93	16.7%	5.7%	198	+0.16	3.00	538	85
Wilmy Sanchez R 2022 · 3.87 FIP	18	SW	3.87	23.0%	12.9%	1.9%	.316	4.24	21.5%	3.8%	148	+0.37	3.31	218	83
Harold Cortijo R 2017 · 4.46 FIP	18	SU	4.46	19.1%	9.8%	3.1%	.309	5.64	13.5%	2.2%	73	+1.18	4.15	179	83
Joel Garcia R 2023 · 4.26 FIP	19	SW	4.26	18.4%	13.0%	1.9%	.341	3.88	16.7%	9.5%	72	-0.38	3.02	104	82
Ricardo Brizuela R 2022 · 4.03 FIP	19	SW	4.03	20.1%	11.6%	2.1%	.375	4.39	16.0%	7.1%	208	+0.36	3.20	246	82
Eccel Correa R 2023 · 4.39 FIP	20	SW	4.39	19.4%	11.9%	2.6%	.316	4.41	14.0%	2.2%	154	+0.02	3.96	189	81
Joangel Gonzalez R 2024 · 4.23 FIP	20	SU	4.23	18.3%	11.7%	2.1%	.312	5.15	18.3%	2.5%	116	+0.92	3.93	151	81
Saul Teran R 2022 · 4.81 FIP	20	SW	4.81	17.5%	9.8%	3.5%	.333	3.88	20.8%	8.7%	94	-0.93	2.28	166	81
Leury Tejada R 2018 · 4.03 FIP	18	SW	4.03	16.5%	10.1%	1.9%	.286	5.06	17.4%	6.2%	39	+1.03	4.03	183	81
Luis Aguilar R 2023 · 4.45 FIP	19	SW	4.45	17.6%	10.3%	2.8%	.356	4.27	16.7%	6.7%	111	-0.18	3.51	146	81
Huei-Sheng Lin R 2019 · 4.59 FIP	20	SW	4.59	17.4%	7.4%	3.7%	.360	5.64	16.1%	3.7%	88	+1.05	4.59	120	80
Yorlin Calderon R 2019 · 4.90 FIP	17	SW	4.90	15.4%	8.3%	3.7%	.275	5.02	20.3%	13.1%	84	+0.12	3.43	287	79
Jostin Florentino R 2023 · 3.78 FIP	18	SU	3.78	16.5%	8.7%	1.8%	.330	4.05	21.2%	10.5%	179	+0.27	2.58	215	79
Carlos Gutierrez R 2019 · 4.71 FIP	19	SW	4.71	15.1%	7.1%	3.6%	.326	3.08	18.3%	6.2%	47	-1.63	3.08	122	79
Yimi Presinal R 2023 · 4.75 FIP	18	SW	4.75	20.2%	15.0%	2.7%	.326	4.71	20.8%	4.6%	92	-0.04	3.62	157	78
Kevin Rodriguez R 2019 · 4.37 FIP	18	SU	4.37	17.4%	12.8%	2.0%	.279	4.14	16.7%	7.6%	41	-0.23	2.34	188	78
Michael Dominguez R 2019 · 3.82 FIP	18	SW	3.82	20.8%	13.2%	1.5%	.218	4.69	21.1%	10.6%	110	+0.87	3.82	383	78
Dariel Francia R 2024 · 3.84 FIP	18	SU	3.84	20.5%	14.4%	1.2%	.287	5.79	19.7%	-3.8%	65	+1.95	3.84	134	78
Dawil Almonte R 2022 · 3.59 FIP	20	SW	3.59	17.4%	7.8%	1.8%	.271	4.54	14.7%	3.3%	97	+0.95	3.59	138	77