Merwin Manrique

P DSL Brewers Blue

Age 20 RHP 5'10" / 176 lbs ROK

Overview

ROKPROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2025	18	ROKDSL Brewers B…	9	8	16.20	10.18	15.5%	29.3%	—	K 10.6% · BB 36.6% · FIP 9.39
2026	19	ROKDSL Brewers B…	7	6	8.53	12.42	7.7%	33.3%	—	K 7.7% · BB 33.3% · FIP 9.49
2027PROJ	20	MLBMIL	5	5	5.75	5.75	22.1%	19.6%	-0.1
2028PROJ49% MLB	21	MLBMIL	10	10	5.42	5.29	22.6%	16.5%	-0.1

Next 2 projected WAR -0.1Projected 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%

CompsAndrew Schultz (age 22) · Michael Perez (age 21) · Jordy Luciano (age 21)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 142134vR 126

ERA5.75

FIP5.75

K%22.1%

BB%19.6%

K-BB%2.5%

Proj IP5

Value2027 · WAR

Runs saved vs league avg · 5 IP

Grades · Contract

Scouting Grades

K†5555

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	18	ROK MLE	DSL Brewers Blue	9	0	8	58	9	17	2	0%	0.9	10.6%	36.6%	-26.1%	4.6%	16.20	9.39	—
2025	18	ROK MLE	DSL Brewers Blue	9	0	8	58	9	17	2	0%	0.9	10.6%	36.6%	-26.1%	4.6%	16.20	9.39	—
2025	18	ROK RAW	DSL Brewers Blue	9	0	8	58	9	17	2	0%	0.9	15.5%	29.3%	-13.8%	3.4%	16.20	10.18	—
2026	19	ROK MLE	DSL Brewers Blue	7	0	6	39	3	13	2	0%	0.9	7.7%	33.3%	-25.6%	5.1%	8.53	9.49	—
2026	19	ROK MLE	DSL Brewers Blue	7	0	6	39	3	13	2	0%	0.9	7.7%	33.3%	-25.6%	5.1%	8.53	9.49	—
2026	19	ROK RAW	DSL Brewers Blue	7	0	6	39	3	13	2	0%	0.9	7.7%	33.3%	-25.6%	5.1%	8.53	12.42	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	20	MLB	MIL	5	0	5	21	5	4	1	0%	1.0	22.1%	19.6%	2.5%	3.0%	5.75	5.75	-0.1
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	21	MLB MLE	MIL	19	0	20	84	19	14	2	0%	1.1	22.6%	16.5%	6.0%	3.0%	5.42	5.29	-0.2
2028	21	MLB CTX	MIL	10	0	10	42	10	7	1	0%	1.0	22.6%	16.5%	6.0%	3.0%	5.42	5.29	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		9	0	10	42	9	7	1	0%	1.1	22.6%	16.5%	6.0%	3.0%	5.42	4.91	-0.0
/ 200 IP	—	RAW		190	0	200	844	183	142	20	0%	1.1	22.6%	16.5%	6.0%	3.0%	5.42	4.91	-0.8
Career	—	MLE		16	0	15	97	9	34	5	0%	0.9	9.4%	35.3%	-25.9%	4.8%	12.89	9.43	-0.2
/ 200 IP	—	MLE		218	0	200	1323	124	467	64	0%	0.9	9.4%	35.3%	-25.9%	4.8%	12.89	9.43	-1.7

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
Merwin Manrique (OGILVIE)	—	—	5.75	22.1%	19.6%	3.0%	—	5.29	22.6%	6.0%	20	-0.46	—	—	—
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	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	86
Jordy Luciano R 2022 · 4.97 FIP	21	SU	4.97	24.9%	22.3%	2.1%	.306	5.33	17.1%	-4.8%	80	+0.36	4.97	104	86
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	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	85
Marcus Crescentini R 2015 · 5.80 FIP	22	SU	5.80	21.8%	21.9%	3.2%	.365	3.95	23.3%	11.6%	123	-1.85	2.74	150	84
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	84
Greg Weissert R 2016 · 5.22 FIP	21	SU	5.22	19.4%	19.3%	2.4%	.382	3.80	23.0%	10.3%	126	-1.42	2.57	487	84
Jackson Rose R 2018 · 5.32 FIP	22	SU	5.32	17.3%	17.2%	2.8%	.267	4.77	23.5%	16.5%	56	-0.55	3.33	147	84
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	83
Edgar Isea R 2023 · 6.17 FIP	20	SU	6.17	24.2%	27.6%	2.9%	.310	4.90	20.6%	-4.4%	76	-1.27	4.50	162	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	83
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	83
Andrew Marrero R 2021 · 5.09 FIP	21	SU	5.09	21.7%	22.0%	1.9%	.395	4.61	24.3%	9.1%	148	-0.48	3.45	221	82
Carlos Contreras R 2014 · 4.77 FIP	23	SU	4.77	20.2%	18.1%	2.0%	.304	4.35	18.4%	5.0%	107	-0.42	4.29	127	82
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	82
Adonis Villavicencio R 2022 · 4.65 FIP	21	SU	4.65	21.5%	21.9%	1.1%	.316	3.93	18.0%	3.9%	90	-0.72	3.21	115	82
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
Johan Quezada R 2015 · 4.65 FIP	20	SU	4.65	18.0%	17.2%	1.6%	.255	4.39	14.1%	-3.0%	53	-0.26	3.78	234	81
Junior Flores R 2021 · 5.28 FIP	19	SU	5.28	20.5%	24.1%	1.6%	.220	4.93	14.5%	-3.9%	92	-0.35	4.87	110	81