Juan Perez

P DSL Rangers Red

Age 21 RHP ROK

Overview

ROKPROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2026	20	ROKDSL Rangers R…	15	30	7.89	6.74	20.9%	17.6%	—	K 14.2% · BB 22.1% · FIP 8.21
2027PROJ	21	MLB—	17	18	5.93	5.93	19.9%	19.0%	-0.3
2028PROJ49% MLB	22	MLB—	13	14	5.54	5.38	21.3%	15.9%	-0.1

Next 2 projected WAR -0.4Projected 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%

CompsConor Grady (age 22) · José Mesa Jr. (age 22) · Hudson Leach (age 22)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 146138vR 130

ERA5.93

FIP5.93

K%19.9%

BB%19.0%

K-BB%0.9%

Proj IP18

Value2027 · WAR

Runs saved vs league avg · 18 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	20	ROK MLE	DSL Rangers Red	15	0	30	153	32	27	7	0%	2.0	14.2%	22.1%	-7.8%	6.4%	7.89	8.21	—
2026	20	ROK MLE	DSL Rangers Red	15	0	30	153	32	27	7	0%	2.0	14.2%	22.1%	-7.8%	6.4%	7.89	8.21	—
2026	20	ROK RAW	DSL Rangers Red	15	0	30	153	32	27	7	0%	2.0	20.9%	17.6%	3.3%	4.6%	7.89	6.74	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	21	MLB	—	17	0	18	76	15	14	2	0%	1.1	19.9%	19.0%	0.9%	3.1%	5.93	5.93	-0.3
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	22	MLB MLE	—	27	0	28	118	25	19	4	0%	1.0	21.3%	15.9%	5.4%	3.1%	5.54	5.38	-0.3
2028	22	MLB CTX	—	13	0	14	59	13	9	2	0%	1.1	21.3%	15.9%	5.4%	3.1%	5.54	5.38	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		13	0	14	58	12	9	2	0%	1.1	21.3%	15.9%	5.4%	3.1%	5.54	5.00	-0.1
/ 200 IP	—	RAW		190	0	200	844	174	131	29	0%	1.1	21.3%	15.9%	5.4%	3.1%	5.54	5.00	-1.1
Career	—	MLE		15	0	30	153	22	34	10	0%	2.0	14.2%	22.1%	-7.8%	6.4%	7.89	8.21	-0.3
/ 200 IP	—	MLE		101	0	200	1031	147	228	66	0%	2.0	14.2%	22.1%	-7.8%	6.4%	7.89	8.21	-1.9

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
Juan Perez (OGILVIE)	—	—	5.93	19.9%	19.0%	3.1%	—	5.38	21.3%	5.4%	28	-0.55	—	—	—
Conor Grady R 2021 · 5.28 FIP	22	SU	5.28	17.2%	19.0%	2.2%	.242	4.62	16.9%	5.1%	96	-0.66	4.62	108	86
José Mesa Jr. R 2016 · 5.41 FIP	22	SU	5.41	22.4%	17.2%	3.7%	.311	4.00	22.8%	9.6%	113	-1.41	3.33	176	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	86
Adilson Peralta R 2024 · 5.29 FIP	21	SU	5.29	20.9%	17.5%	3.2%	.316	5.11	18.7%	3.0%	83	-0.18	3.79	181	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	85
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	85
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	85
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	84
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	83
Morgan McSweeney R 2021 · 5.36 FIP	23	SU	5.36	21.9%	16.3%	3.7%	.295	5.15	18.5%	5.3%	93	-0.21	3.20	213	83
Tyler Smith R 2018 · 5.30 FIP	22	SU	5.30	17.8%	14.3%	3.4%	.329	4.35	19.8%	7.8%	94	-0.95	3.44	121	82
James Acuna R 2021 · 5.12 FIP	23	SU	5.12	21.3%	17.0%	3.0%	.302	4.33	19.4%	4.6%	60	-0.79	4.33	107	82
Cory Thompson R 2017 · 5.42 FIP	22	SU	5.42	15.2%	15.7%	2.9%	.289	4.34	16.3%	10.6%	131	-1.08	3.59	218	82
Connor Walsh R 2015 · 4.76 FIP	22	SU	4.76	23.3%	20.7%	1.8%	.288	3.98	21.3%	6.8%	151	-0.78	3.36	266	82
Jaydenn Estanista R 2023 · 6.67 FIP	21	SU	6.67	16.7%	25.7%	3.1%	.348	4.95	21.5%	5.6%	143	-1.72	4.59	230	82
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	82
Walker Brockhouse R 2021 · 6.65 FIP	22	SU	6.65	20.2%	19.7%	5.0%	.265	4.69	19.3%	3.2%	111	-1.96	4.24	126	81
Christian Ruebeck R 2024 · 6.03 FIP	23	SU	6.03	20.6%	24.4%	2.9%	.265	4.57	21.6%	1.9%	70	-1.46	4.35	104	81
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	81
Yovanny Cabrera R 2022 · 6.15 FIP	21	SU	6.15	17.5%	19.5%	3.8%	.274	4.91	18.2%	1.9%	128	-1.24	4.39	243	81