Daniel Munoz

P DSL Brewers Blue

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 Brewers B…	10	3	24	7.03	7.09	18.8%	27.1%	—	K 12.8% · BB 33.8% · FIP 8.04
2027PROJ	18	MLBMIL	13	0	14	6.00	6.00	19.7%	20.0%	-0.2
2028PROJ49% MLB	19	MLBMIL	10	0	11	5.62	5.49	20.6%	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 0% · didn't stick 100%

CompsErnesto Jaquez (age 18) · Edinzo Marquez (age 17) · Anthony Cruz (age 19)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 147139vR 131

ERA6.00

FIP6.00

K%19.7%

BB%20.0%

K-BB%-0.3%

Proj IP14

Value2027 · WAR

Runs saved vs league avg · 14 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)
2026	17	ROK MLE	DSL Brewers Blue	10	3	24	133	25	36	3	30%	2.4	12.8%	33.8%	-21.1%	3.2%	7.03	8.04	—
2026	17	ROK MLE	DSL Brewers Blue	10	3	24	133	25	36	3	30%	2.4	12.8%	33.8%	-21.1%	3.2%	7.03	8.04	—
2026	17	ROK RAW	DSL Brewers Blue	10	3	24	133	25	36	3	30%	2.4	18.8%	27.1%	-8.3%	2.3%	7.03	7.09	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	18	MLB	MIL	13	0	14	59	12	12	2	0%	1.1	19.7%	20.0%	-0.3%	3.0%	6.00	6.00	-0.2
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	19	MLB MLE	MIL	22	0	23	97	20	16	3	0%	1.0	20.6%	16.8%	3.8%	2.9%	5.62	5.49	-0.2
2028	19	MLB CTX	MIL	10	0	11	46	10	8	1	0%	1.1	20.6%	16.8%	3.8%	2.9%	5.62	5.49	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		11	0	11	48	10	8	1	0%	1.0	20.6%	16.8%	3.8%	2.9%	5.62	5.11	-0.1
/ 200 IP	—	RAW		190	0	200	844	177	142	18	0%	1.1	20.6%	16.8%	3.8%	2.9%	5.62	5.11	-1.3
Career	—	MLE		10	3	24	133	17	45	4	30%	2.4	12.8%	33.8%	-21.1%	3.2%	7.03	8.04	-0.2
/ 200 IP	—	MLE		82	25	200	1093	140	370	35	30%	2.4	12.8%	33.8%	-21.1%	3.2%	7.03	8.04	-2.2

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
Daniel Munoz (OGILVIE)	—	—	6.00	19.7%	20.0%	3.0%	—	5.49	20.6%	3.8%	23	-0.51	—	—	—
Ernesto Jaquez R 2017 · 4.99 FIP	18	SW	4.99	18.4%	16.9%	2.4%	.265	2.56	24.8%	15.7%	53	-2.43	2.56	239	89
Edinzo Marquez R 2022 · 4.97 FIP	17	SW	4.97	20.5%	18.9%	2.2%	.250	3.90	13.2%	0.4%	119	-1.07	3.26	188	87
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	85
Yorman Galindez R 2022 · 4.93 FIP	19	SW	4.93	19.1%	18.3%	2.1%	.374	3.77	22.9%	6.2%	96	-1.16	3.63	201	84
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
Joseph Hernandez R 2018 · 5.37 FIP	18	SW	5.37	15.6%	15.0%	3.1%	.296	4.39	24.7%	8.0%	31	-0.98	4.39	260	83
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	81
Ben Peoples R 2019 · 6.28 FIP	18	SW	6.28	21.8%	27.5%	2.8%	.227	4.51	23.0%	9.1%	103	-1.77	3.56	365	81
Eliazar Dishmey R 2023 · 6.05 FIP	18	SW	6.05	17.9%	15.1%	4.6%	.302	3.83	21.9%	9.2%	268	-2.22	3.40	311	80
Randel Clemente R 2021 · 5.99 FIP	19	SW	5.99	14.3%	21.7%	2.4%	.270	4.60	21.8%	-1.8%	88	-1.39	3.74	214	80
Aneudis Mejia R 2023 · 7.12 FIP	19	SW	7.12	18.7%	29.9%	3.3%	.404	5.03	16.9%	1.3%	102	-2.09	4.36	122	80
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	80
Keegan Zinn R 2024 · 6.40 FIP	19	SP-	6.40	19.1%	19.5%	4.4%	.318	5.80	19.0%	-1.9%	112	-0.60	4.88	145	79
Alfredo Romero R 2022 · 6.31 FIP	19	SW	6.31	16.7%	16.6%	4.6%	.172	4.44	14.6%	-1.1%	146	-1.87	4.40	256	78
Keegan Collett R 2019 · 5.05 FIP	21	SW	5.05	21.9%	24.6%	1.2%	.321	4.68	29.1%	9.0%	84	-0.37	3.93	184	78
Luis A. Reyes R 2022 · 4.89 FIP	18	SW	4.89	17.7%	14.5%	2.6%	.422	6.15	14.4%	-12.8%	81	+1.26	4.89	123	78
Sven Schüller R 2015 · 5.92 FIP	19	SW	5.92	13.2%	23.4%	1.8%	.320	4.44	11.5%	0.8%	160	-1.48	3.88	247	78
Hansel Rosario R 2022 · 6.13 FIP	19	SW	6.13	16.9%	32.0%	0.7%	.271	5.82	16.0%	-8.8%	82	-0.31	5.25	107	78
Ronny Lopez R 2023 · 5.33 FIP	20	SW	5.33	15.1%	20.6%	1.6%	.232	5.01	13.7%	-5.7%	85	-0.32	4.23	121	77
Jose Alberto Rivera R 2017 · 5.65 FIP	20	SW	5.65	16.1%	19.2%	2.7%	.185	3.68	20.3%	9.9%	115	-1.97	3.39	163	77