Josh Perez

P DSL CLE Mendoza

Age 19 RHP 6'0" / 170 lbs ROK peak 0.2 · 2028

Overview

ROKPROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2025	17	ROKDSL CLE Goryl	10	10	32	4.45	3.81	15.5%	12.7%	—	K 10.5% · BB 15.8% · FIP 4.63
2026	18	ROKDSL CLE Mendo…	9	9	31	4.88	3.64	15.5%	11.3%	—	K 10.5% · BB 14.1% · FIP 4.54
2027PROJ	19	MLBPIT	3	3	19	5.32	5.32	17.5%	13.7%	-0.1
2028PROJ49% MLB	20	MLBPIT	3	3	15	5.07	4.97	19.0%	12.2%	-0.0

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 99%

CompsJharold Clemente (age 20) · Ben Hernandez (age 20) · Jeferson Figueroa (age 20)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 134126vR 118

ERA5.32

FIP5.32

K%17.5%

BB%13.7%

K-BB%3.8%

Proj IP19

Value2027 · WAR

Runs saved vs league avg · 19 IP

Grades · Contract

Scouting Grades

K†4045

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 CLE Goryl	10	10	32	142	22	18	1	100%	3.2	10.5%	15.8%	-5.3%	0.7%	4.45	4.63	—
2025	17	ROK MLE	DSL CLE Goryl	10	10	32	142	22	18	1	100%	3.2	10.5%	15.8%	-5.3%	0.7%	4.45	4.63	—
2025	17	ROK RAW	DSL CLE Goryl	10	10	32	142	22	18	1	100%	3.2	15.5%	12.7%	2.8%	0.7%	4.45	3.81	—
2026	18	ROK MLE	DSL CLE Mendoza	9	9	31	142	22	16	1	100%	3.5	10.5%	14.1%	-3.5%	1.0%	4.88	4.54	—
2026	18	ROK MLE	DSL CLE Mendoza	9	9	31	142	22	16	1	100%	3.5	10.5%	14.1%	-3.5%	1.0%	4.88	4.54	—
2026	18	ROK RAW	DSL CLE Mendoza	9	9	31	142	22	16	1	100%	3.5	15.5%	11.3%	4.2%	0.7%	4.88	3.64	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	19	MLB	PIT	3	3	19	80	14	11	2	100%	6.3	17.5%	13.7%	3.8%	2.9%	5.32	5.32	-0.1
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	20	MLB MLE	PIT	6	6	31	129	25	16	4	100%	5.1	19.0%	12.2%	6.8%	2.8%	5.07	4.97	-0.0
2028	20	MLB CTX	PIT	3	3	15	63	12	8	2	100%	5.0	19.0%	12.2%	6.8%	2.8%	5.07	4.97	-0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		3	3	15	64	12	8	2	100%	5.0	19.0%	12.2%	6.8%	2.8%	5.07	4.59	+0.1
/ 200 IP	—	RAW		43	43	200	844	160	106	27	100%	4.6	19.0%	12.2%	6.8%	2.8%	5.07	4.59	+0.7
Career	—	MLE		19	19	64	284	30	42	2	100%	3.4	10.5%	15.0%	-4.4%	0.9%	4.66	4.58	-0.0
/ 200 IP	—	MLE		60	60	200	892	94	134	8	100%	3.4	10.5%	15.0%	-4.4%	0.9%	4.66	4.58	-0.2

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
Josh Perez (OGILVIE)	—	—	5.32	17.5%	13.7%	2.9%	—	4.97	19.0%	6.8%	31	-0.35	—	—	—
Jharold Clemente R 2023 · 4.97 FIP	20	SP	4.97	17.5%	13.6%	3.0%	.258	5.11	13.3%	4.3%	92	+0.14	4.09	116	87
Ben Hernandez R 2021 · 4.36 FIP	20	SP	4.36	16.5%	14.4%	1.5%	.337	4.59	12.4%	-0.3%	186	+0.23	4.00	301	86
Jeferson Figueroa R 2021 · 5.24 FIP	20	SP	5.24	17.1%	15.6%	2.9%	.232	5.02	20.6%	5.4%	188	-0.22	4.77	249	85
Luis Ghisays R 2024 · 5.74 FIP	18	SP	5.74	13.8%	15.0%	3.5%	.291	5.08	16.2%	5.4%	75	-0.66	4.58	110	85
Alexander Almonte R 2024 · 5.69 FIP	17	SP	5.69	16.2%	13.8%	4.0%	.250	4.82	12.6%	-2.8%	75	-0.87	4.27	100	85
Tyler Gough R 2023 · 5.48 FIP	19	SP	5.48	13.4%	13.3%	3.3%	.297	3.58	20.0%	6.5%	158	-1.90	3.12	188	85
Luke Albright R 2021 · 5.77 FIP	21	SP	5.77	16.8%	13.4%	4.4%	.295	5.10	19.4%	5.5%	269	-0.67	4.02	329	85
Randry De Leon R 2024 · 4.49 FIP	19	SP	4.49	18.0%	11.5%	2.6%	.284	5.01	18.6%	1.6%	80	+0.52	4.37	153	84
Juan Carela R 2021 · 4.42 FIP	19	SP	4.42	17.0%	13.5%	1.9%	.333	4.32	20.8%	9.3%	329	-0.10	4.23	455	84
Moises Castillo R 2024 · 4.58 FIP	19	SP-	4.58	18.1%	11.7%	2.8%	.269	4.06	19.4%	4.9%	67	-0.52	3.76	104	84
Gio Arriera R 2017 · 5.41 FIP	19	SP	5.41	15.1%	13.9%	3.3%	.333	4.34	15.5%	2.0%	79	-1.07	4.34	185	84
Mason Thompson R 2017 · 4.32 FIP	19	SP	4.32	18.0%	12.3%	2.2%	.288	4.57	16.6%	4.5%	115	+0.25	3.15	350	84
Ryan Harvey R 2023 · 5.20 FIP	22	SP	5.20	16.7%	13.1%	3.4%	.294	4.50	17.0%	5.9%	87	-0.70	4.08	133	83
Adam Bates R 2024 · 5.12 FIP	18	SP-	5.12	16.2%	14.1%	2.9%	.358	6.39	13.0%	-7.2%	146	+1.27	5.12	183	83
Luis Hernandez R 2022 · 4.94 FIP	21	SP	4.94	16.7%	14.0%	2.7%	.311	5.62	21.4%	4.1%	64	+0.68	4.09	109	82
Carlos Betancourt R 2019 · 4.47 FIP	18	SP	4.47	15.5%	12.5%	2.0%	.293	3.35	19.9%	10.6%	45	-1.12	3.35	188	82
Rafael Garcia R 2019 · 4.65 FIP	18	SP	4.65	14.9%	14.0%	1.9%	.288	7.13	16.0%	-0.4%	50	+2.48	4.65	102	82
Tomas Cleto R 2021 · 4.13 FIP	20	SP	4.13	15.0%	11.3%	1.6%	.233	3.88	15.5%	5.7%	75	-0.25	3.15	117	82
Ryan Harbin R 2021 · 4.79 FIP	19	SP	4.79	15.8%	15.4%	2.0%	.391	4.57	21.8%	6.2%	107	-0.22	3.82	185	82
Victor Mederos R 2022 · 4.69 FIP	21	SP	4.69	15.6%	14.0%	2.1%	.286	5.19	16.4%	5.7%	301	+0.50	3.73	394	81