Jordy Brache

P DSL Brewers Blue

Age 17 RHP ROK

Overview

ROKPROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2026	16	ROKDSL Brewers B…	12	5	24	14.83	7.37	18.3%	26.8%	—	K 12.5% · BB 33.5% · FIP 7.91
2027PROJ	17	MLBMIL	13	0	14	6.02	6.02	19.4%	20.0%	-0.2
2028PROJ49% MLB	18	MLBMIL	10	0	11	5.64	5.50	20.4%	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) · Dariel Francia (age 17)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 147139vR 131

ERA6.02

FIP6.02

K%19.4%

BB%20.0%

K-BB%-0.6%

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	16	ROK MLE	DSL Brewers Blue	12	5	24	142	26	38	3	42%	2.0	12.5%	33.5%	-21.0%	3.0%	14.83	7.91	—
2026	16	ROK MLE	DSL Brewers Blue	12	5	24	142	26	38	3	42%	2.0	12.5%	33.5%	-21.0%	3.0%	14.83	7.91	—
2026	16	ROK RAW	DSL Brewers Blue	12	5	24	142	26	38	3	42%	2.0	18.3%	26.8%	-8.5%	2.1%	14.83	7.37	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	17	MLB	MIL	13	0	14	59	11	12	2	0%	1.1	19.4%	20.0%	-0.6%	3.0%	6.02	6.02	-0.2
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	18	MLB MLE	MIL	21	0	22	95	19	16	3	0%	1.1	20.4%	16.8%	3.6%	2.9%	5.64	5.50	-0.2
2028	18	MLB CTX	MIL	10	0	11	46	9	8	1	0%	1.1	20.4%	16.8%	3.6%	2.9%	5.64	5.50	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		10	0	11	46	10	8	1	0%	1.1	20.4%	16.8%	3.6%	2.9%	5.64	5.12	-0.1
/ 200 IP	—	RAW		190	0	200	844	182	145	18	0%	1.1	20.4%	16.8%	3.6%	2.9%	5.64	5.12	-1.3
Career	—	MLE		12	5	24	142	18	48	4	42%	2.0	12.5%	33.5%	-21.0%	3.0%	14.83	7.91	-0.2
/ 200 IP	—	MLE		101	42	200	1200	149	401	35	42%	2.0	12.5%	33.5%	-21.0%	3.0%	14.83	7.91	-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
Jordy Brache (OGILVIE)	—	—	6.02	19.4%	20.0%	3.0%	—	5.50	20.4%	3.6%	22	-0.52	—	—	—
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	88
Dariel Francia R 2023 · 5.09 FIP	17	SW	5.09	19.8%	17.4%	2.7%	.322	5.13	19.9%	-0.4%	98	+0.04	3.84	134	87
Sandy Ozuna R 2023 · 5.42 FIP	17	SW	5.42	15.1%	17.4%	2.5%	.303	4.77	18.3%	7.9%	71	-0.65	3.03	103	86
Luis Reyes R 2023 · 6.24 FIP	17	SP-	6.24	18.4%	20.7%	3.8%	.333	4.28	17.1%	5.1%	129	-1.96	4.02	167	85
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	84
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	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
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	82
Adrian Acosta R 2022 · 6.45 FIP	17	SP-	6.45	15.7%	18.0%	4.4%	.260	4.68	15.9%	-2.1%	88	-1.77	3.48	120	82
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	81
Janser Lara R 2016 · 5.61 FIP	19	SP-	5.61	20.1%	17.3%	3.7%	.354	5.04	17.9%	4.8%	118	-0.57	2.84	220	81
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	81
Yosber Sanchez R 2019 · 5.58 FIP	18	SP-	5.58	14.6%	14.9%	3.3%	.315	4.61	20.2%	-5.2%	13	-0.97	3.21	200	80
Jesus Rivero R 2021 · 5.42 FIP	18	SP-	5.42	21.7%	22.1%	2.5%	.224	4.35	21.7%	1.5%	117	-1.07	4.09	146	80
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	80
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	79
Wellington Aracena R 2022 · 5.34 FIP	17	SW	5.34	15.2%	23.0%	1.1%	.342	4.18	20.4%	2.5%	176	-1.16	3.20	304	79
Leomar Rosario R 2022 · 5.75 FIP	19	SW	5.75	15.4%	26.4%	1.1%	.282	5.24	19.6%	-2.4%	58	-0.51	4.95	134	79
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	79