Yerison Mendez

P DSL Miami

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 Miami	14	3	30	4.50	6.40	13.9%	13.9%	—	K 9.5% · BB 17.4% · FIP 7.56
2027PROJ	18	MLBMIA	17	0	18	5.61	5.61	18.1%	15.4%	-0.2
2028PROJ49% MLB	19	MLBMIA	13	0	14	5.31	5.21	19.5%	13.5%	-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%

CompsAnthony Cruz (age 19) · Will Kobos (age 20) · Over Galue (age 20)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 140132vR 123

ERA5.61

FIP5.61

K%18.1%

BB%15.4%

K-BB%2.7%

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 Miami	14	3	30	151	21	21	6	21%	2.1	9.5%	17.4%	-7.9%	5.6%	4.50	7.56	—
2026	17	ROK MLE	DSL Miami	14	3	30	151	21	21	6	21%	2.1	9.5%	17.4%	-7.9%	5.6%	4.50	7.56	—
2026	17	ROK RAW	DSL Miami	14	3	30	151	21	21	6	21%	2.1	13.9%	13.9%	0.0%	4.0%	4.50	6.40	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	18	MLB	MIA	17	0	18	76	14	12	2	0%	1.1	18.1%	15.4%	2.7%	3.1%	5.61	5.61	-0.2
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	19	MLB MLE	MIA	27	0	28	120	23	16	4	0%	1.1	19.5%	13.5%	6.0%	3.0%	5.31	5.21	-0.2
2028	19	MLB CTX	MIA	13	0	14	59	12	8	2	0%	1.1	19.5%	13.5%	6.0%	3.0%	5.31	5.21	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		13	0	14	59	11	8	2	0%	1.1	19.5%	13.5%	6.0%	3.0%	5.31	4.82	-0.0
/ 200 IP	—	RAW		190	0	200	844	158	115	29	0%	1.1	19.5%	13.5%	6.0%	3.0%	5.31	4.82	-0.6
Career	—	MLE		14	3	30	151	14	26	8	21%	2.1	9.5%	17.4%	-7.9%	5.6%	4.50	7.56	-0.2
/ 200 IP	—	MLE		93	20	200	1007	95	175	56	21%	2.1	9.5%	17.4%	-7.9%	5.6%	4.50	7.56	-1.5

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
Yerison Mendez (OGILVIE)	—	—	5.61	18.1%	15.4%	3.1%	—	5.21	19.5%	6.0%	28	-0.40	—	—	—
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	88
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	88
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	85
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	84
Yimi Presinal R 2023 · 4.75 FIP	18	SW	4.75	20.2%	15.0%	2.7%	.326	4.71	20.8%	4.6%	92	-0.04	3.62	157	84
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	84
Juan Burgos R 2019 · 4.75 FIP	19	SW	4.75	15.4%	13.5%	2.3%	.292	4.38	17.7%	0.8%	58	-0.37	3.50	284	84
Raimon Gomez R 2021 · 4.90 FIP	19	SW	4.90	17.3%	13.6%	2.8%	.265	3.28	19.5%	8.0%	48	-1.62	3.28	103	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
Tanner Cooper R 2021 · 4.71 FIP	21	SW	4.71	17.1%	14.1%	2.3%	.338	5.15	14.4%	6.7%	121	+0.44	4.51	148	83
Odalvi Javier R 2015 · 5.37 FIP	18	SU	5.37	14.4%	13.2%	3.3%	.357	4.57	15.0%	4.3%	234	-0.80	2.95	578	82
Carlos De Los Santos R 2019 · 5.68 FIP	18	SU	5.68	16.9%	16.0%	3.6%	.286	3.95	20.9%	3.2%	86	-1.73	3.67	173	82
Felix Arronde R 2021 · 4.51 FIP	18	SW	4.51	14.3%	15.4%	1.2%	.333	4.33	18.6%	9.0%	184	-0.18	4.16	442	81
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	81
Victor Espiritu R 2024 · 4.45 FIP	19	SW	4.45	14.6%	12.7%	1.8%	.294	4.04	13.5%	1.8%	60	-0.41	3.49	101	81
Jonathan Jimenez R 2023 · 5.41 FIP	19	SU	5.41	16.4%	16.2%	3.0%	.333	5.09	14.1%	2.2%	178	-0.32	3.49	189	80
Anderson Cardenas R 2024 · 4.90 FIP	18	SW	4.90	19.5%	11.9%	3.5%	.235	3.52	22.2%	8.8%	58	-1.38	3.52	129	80
Jesus Colina R 2023 · 5.30 FIP	18	SU	5.30	15.3%	15.2%	2.9%	.265	4.00	17.2%	7.6%	103	-1.30	3.82	128	80
Brandon Komar R 2019 · 4.77 FIP	20	SW	4.77	17.7%	11.6%	3.1%	.327	4.93	16.7%	5.7%	198	+0.16	3.00	538	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