Amilkar Romero

P DSL Cubs Blue

Age 19 RHP 6'2" / 208 lbs ROK

Overview

ROKPROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2025	17	ROKDSL Cubs Blue	6	4	12	8.03	7.88	11.3%	32.3%	—	K 7.7% · BB 40.3% · FIP 8.90
2026	18	ROKDSL Cubs Blue	14	0	21	1.69	3.52	19.1%	16.0%	—	K 13.0% · BB 19.9% · FIP 4.53
2027PROJ	19	MLBCHC	10	0	11	5.97	5.97	19.5%	20.0%	-0.2
2028PROJ49% MLB	20	MLBCHC	10	0	10	5.59	5.46	20.5%	16.8%	-0.1

Next 2 projected WAR -0.3Projected 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 1% · didn't stick 99%

CompsJonathan Jimenez (age 19) · Elison Joseph (age 20) · Michael Perez (age 21)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 147138vR 130

ERA5.97

FIP5.97

K%19.5%

BB%20.0%

K-BB%-0.5%

Proj IP11

Value2027 · WAR

Runs saved vs league avg · 11 IP

Grades · Contract

Scouting Grades

K†4550

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 Cubs Blue	6	4	12	62	7	20	1	67%	2.1	7.7%	40.3%	-32.6%	2.4%	8.03	8.90	—
2025	17	ROK MLE	DSL Cubs Blue	6	4	12	62	7	20	1	67%	2.1	7.7%	40.3%	-32.6%	2.4%	8.03	8.90	—
2025	17	ROK RAW	DSL Cubs Blue	6	4	12	62	7	20	1	67%	2.1	11.3%	32.3%	-21.0%	1.6%	8.03	7.88	—
2026	18	ROK MLE	DSL Cubs Blue	14	0	21	94	18	15	0	0%	1.5	13.0%	19.9%	-6.9%	0.0%	1.69	4.53	—
2026	18	ROK MLE	DSL Cubs Blue	14	0	21	94	18	15	0	0%	1.5	13.0%	19.9%	-6.9%	0.0%	1.69	4.53	—
2026	18	ROK RAW	DSL Cubs Blue	14	0	21	94	18	15	0	0%	1.5	19.1%	16.0%	3.2%	0.0%	1.69	3.52	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	19	MLB	CHC	10	0	11	46	9	9	1	0%	1.1	19.5%	20.0%	-0.5%	2.9%	5.97	5.97	-0.2
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	20	MLB MLE	CHC	19	0	20	85	17	14	2	0%	1.1	20.5%	16.8%	3.7%	2.9%	5.59	5.46	-0.2
2028	20	MLB CTX	CHC	10	0	10	42	9	7	1	0%	1.0	20.5%	16.8%	3.7%	2.9%	5.59	5.46	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		9	0	10	42	9	7	1	0%	1.1	20.5%	16.8%	3.7%	2.9%	5.59	5.08	-0.1
/ 200 IP	—	RAW		190	0	200	844	181	141	20	0%	1.1	20.5%	16.8%	3.7%	2.9%	5.59	5.08	-1.2
Career	—	MLE		20	4	34	156	17	44	2	20%	1.7	10.9%	28.0%	-17.1%	1.0%	4.01	6.26	-0.2
/ 200 IP	—	MLE		119	24	200	927	101	260	9	20%	1.7	10.9%	28.0%	-17.1%	1.0%	4.01	6.26	-2.1

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
Amilkar Romero (OGILVIE)	—	—	5.97	19.5%	20.0%	2.9%	—	5.46	20.5%	3.7%	20	-0.51	—	—	—
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	86
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	86
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	86
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	85
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	85
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	85
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	84
Juan Arnaud R 2022 · 6.33 FIP	19	SU	6.33	14.6%	23.7%	2.7%	.330	4.40	18.8%	1.6%	102	-1.93	3.43	184	83
Anthony Cruz R 2022 · 5.38 FIP	19	SW	5.38	16.7%	16.6%	2.9%	.237	4.19	18.2%	5.6%	180	-1.19	3.32	272	83
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	83
Brendan Hardy R 2018 · 5.18 FIP	18	SU	5.18	17.0%	19.7%	1.8%	.227	6.99	15.9%	-17.2%	25	+1.81	2.54	137	83
Enrique Saldana R 2018 · 6.54 FIP	19	SU	6.54	15.4%	25.9%	2.6%	.310	3.85	14.6%	6.3%	80	-2.69	2.96	109	82
Erian Rodriguez R 2022 · 5.51 FIP	20	SU	5.51	16.2%	19.8%	2.3%	.378	4.16	16.2%	3.6%	241	-1.35	3.81	287	82
Angel Peralta R 2024 · 6.70 FIP	17	SW	6.70	19.0%	29.7%	2.6%	.200	4.28	15.9%	2.0%	84	-2.42	3.81	107	82
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
Hudson Leach R 2024 · 5.37 FIP	22	SU	5.37	20.5%	20.0%	2.7%	.261	4.54	20.9%	3.1%	71	-0.83	2.77	101	82
Angel Reyes R 2018 · 4.91 FIP	20	SU	4.91	16.5%	19.4%	1.4%	.328	4.51	17.1%	5.7%	119	-0.40	3.99	308	82
Jose G. Gonzalez R 2021 · 5.42 FIP	19	SU	5.42	16.2%	22.7%	1.5%	.320	4.81	15.6%	0.6%	94	-0.61	3.63	165	82
Aidan Curry R 2021 · 5.05 FIP	19	SU	5.05	18.4%	20.6%	1.6%	.450	4.87	20.8%	9.2%	211	-0.18	3.34	410	82
Adrian Rodriguez R 2021 · 6.92 FIP	20	SU	6.92	23.1%	34.0%	2.7%	.368	5.46	23.1%	-1.6%	93	-1.46	2.43	148	82