Yeremi Mendez

P DSL Colorado

Age 18 RHP ROK peak 0.1 · 2028

Overview

ROKPROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2026	17	ROKDSL Colorado	13	10	31	6.68	5.71	16.3%	14.4%	—	K 11.1% · BB 18.0% · FIP 6.95
2027PROJ	18	MLB—	3	3	18	5.59	5.59	18.7%	15.9%	-0.1
2028PROJ49% MLB	19	MLB—	3	3	14	5.30	5.19	19.9%	13.8%	-0.0

Next 2 projected WAR -0.2Projected 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 1% · didn't stick 99%

CompsRandry De Leon (age 18) · Chris Viall (age 20) · Jharold Clemente (age 20)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 139131vR 123

ERA5.59

FIP5.59

K%18.7%

BB%15.9%

K-BB%2.8%

Proj IP18

Value2027 · WAR

Runs saved vs league avg · 18 IP

Grades · Contract

Scouting Grades

K†4545

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 Colorado	13	10	31	153	25	22	5	77%	2.4	11.1%	18.0%	-6.9%	4.6%	6.68	6.95	—
2026	17	ROK MLE	DSL Colorado	13	10	31	153	25	22	5	77%	2.4	11.1%	18.0%	-6.9%	4.6%	6.68	6.95	—
2026	17	ROK RAW	DSL Colorado	13	10	31	153	25	22	5	77%	2.4	16.3%	14.4%	2.0%	3.3%	6.68	5.71	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	18	MLB	—	3	3	18	76	14	12	2	100%	6.0	18.7%	15.9%	2.8%	3.1%	5.59	5.59	-0.1
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	19	MLB MLE	—	5	5	29	124	25	17	4	100%	5.9	19.9%	13.8%	6.1%	3.0%	5.30	5.19	-0.1
2028	19	MLB CTX	—	3	3	14	59	12	8	2	100%	4.7	19.9%	13.8%	6.1%	3.0%	5.30	5.19	-0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		3	3	14	61	12	8	2	100%	4.8	19.9%	13.8%	6.1%	3.0%	5.30	4.81	+0.0
/ 200 IP	—	RAW		46	46	200	844	167	111	28	100%	4.3	19.9%	13.8%	6.1%	3.0%	5.30	4.81	+0.2
Career	—	MLE		13	10	31	153	17	27	7	77%	2.4	11.1%	18.0%	-6.9%	4.6%	6.68	6.95	-0.1
/ 200 IP	—	MLE		84	65	200	987	110	177	45	77%	2.4	11.1%	18.0%	-6.9%	4.6%	6.68	6.95	-0.7

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
Yeremi Mendez (OGILVIE)	—	—	5.59	18.7%	15.9%	3.1%	—	5.19	19.9%	6.1%	29	-0.40	—	—	—
Randry De Leon R 2023 · 6.45 FIP	18	SP-	6.45	17.7%	20.2%	4.2%	.308	4.83	18.4%	3.3%	123	-1.62	4.37	153	85
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	84
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	84
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	82
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	82
Waylin Santana R 2021 · 5.12 FIP	18	SP	5.12	15.1%	15.0%	2.5%	.377	6.18	13.5%	1.0%	94	+1.06	4.88	117	82
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	82
Cristian Aray R 2024 · 4.99 FIP	17	SP-	4.99	14.8%	11.8%	3.0%	.272	4.48	13.0%	-2.3%	72	-0.51	4.44	104	81
Lisandro Almonte R 2021 · 4.89 FIP	19	SP-	4.89	16.3%	16.4%	2.0%	.298	4.93	19.6%	4.9%	78	+0.04	3.81	128	81
Eddy Peralta R 2023 · 4.65 FIP	20	SP-	4.65	22.0%	19.8%	1.6%	.342	3.96	21.0%	1.7%	86	-0.69	3.73	117	81
Edgar Isea R 2022 · 5.51 FIP	19	SP-	5.51	19.3%	20.3%	2.7%	.371	5.19	21.4%	-4.1%	98	-0.32	4.50	162	81
Jose Pena Jr. R 2022 · 5.48 FIP	19	SP-	5.48	15.0%	18.7%	2.3%	.269	4.62	19.2%	3.1%	124	-0.86	3.48	176	81
Ronny Oliver R 2022 · 5.86 FIP	18	SP-	5.86	13.8%	15.2%	3.6%	.323	4.25	16.1%	-1.3%	102	-1.61	3.67	167	81
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
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	80
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	79
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	79
Rafael Ohashi R 2021 · 4.83 FIP	18	SP-	4.83	21.2%	23.2%	1.1%	.339	5.42	15.9%	2.4%	177	+0.59	4.67	203	79
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	79
Tahnaj Thomas R 2017 · 6.61 FIP	18	SP-	6.61	12.8%	22.8%	3.1%	.309	5.06	23.0%	7.4%	20	-1.55	3.81	214	78