Gleiderson Mendoza

P DSL Colorado

Age 19 RHP 6'0" / 181 lbs ROK

Overview

ROKPROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2025	17	ROKCOL	15	3	32	3.66	4.44	14.6%	16.7%	—	K 9.9% · BB 20.8% · FIP 5.52
2026	18	ROKDSL Colorado	9	5	26	3.81	2.75	23.3%	12.9%	—	K 15.8% · BB 16.2% · FIP 3.81
2027PROJ	19	MLBCOL	16	0	17	5.49	5.49	19.2%	16.2%	-0.2
2028PROJ49% MLB	20	MLBCOL	14	0	15	5.20	5.10	20.2%	14.0%	-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 99%

CompsJoseph Hernandez (age 18) · Denny Larrondo (age 19) · Will Kobos (age 20)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 137129vR 121

ERA5.49

FIP5.49

K%19.2%

BB%16.2%

K-BB%3.0%

Proj IP17

Value2027 · WAR

Runs saved vs league avg · 17 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)
2025	17	ROK MLE	DSL Rockies	15	3	32	144	21	24	1	20%	2.1	9.9%	20.8%	-10.9%	1.1%	3.66	5.52	—
2025	17	ROK MLE	DSL Rockies	15	3	32	144	21	24	1	20%	2.1	9.9%	20.8%	-10.9%	1.1%	3.66	5.52	—
2025	17	ROK RAW	DSL Rockies	15	3	32	144	21	24	1	20%	2.1	14.6%	16.7%	-2.1%	0.7%	3.66	4.44	—
2026	18	ROK MLE	DSL Colorado	9	5	26	116	27	15	0	56%	2.9	15.8%	16.2%	-0.3%	0.0%	3.81	3.81	—
2026	18	ROK MLE	DSL Colorado	9	5	26	116	27	15	0	56%	2.9	15.8%	16.2%	-0.3%	0.0%	3.81	3.81	—
2026	18	ROK RAW	DSL Colorado	9	5	26	116	27	15	0	56%	2.9	23.3%	12.9%	10.3%	0.0%	3.81	2.75	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	19	MLB	COL	16	0	17	72	14	12	2	0%	1.1	19.2%	16.2%	3.0%	2.9%	5.49	5.49	-0.2
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	20	MLB MLE	COL	29	0	30	128	26	18	4	0%	1.0	20.2%	14.0%	6.2%	2.8%	5.20	5.10	-0.2
2028	20	MLB CTX	COL	14	0	15	63	13	9	2	0%	1.1	20.2%	14.0%	6.2%	2.8%	5.20	5.10	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		14	0	15	63	13	9	2	0%	1.1	20.2%	14.0%	6.2%	2.8%	5.20	4.72	-0.0
/ 200 IP	—	RAW		190	0	200	844	175	121	27	0%	1.1	20.2%	14.0%	6.2%	2.8%	5.20	4.72	-0.4
Career	—	MLE		24	8	58	260	33	49	2	33%	2.4	12.6%	18.8%	-6.2%	0.6%	3.72	4.76	-0.2
/ 200 IP	—	MLE		83	28	200	897	113	168	6	33%	2.4	12.6%	18.8%	-6.2%	0.6%	3.72	4.76	-1.3

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
Gleiderson Mendoza (OGILVIE)	—	—	5.49	19.2%	16.2%	2.9%	—	5.10	20.2%	6.2%	30	-0.39	—	—	—
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	87
Denny Larrondo R 2021 · 4.77 FIP	19	SW	4.77	22.7%	17.5%	2.5%	.293	5.26	18.1%	-0.4%	155	+0.49	4.48	293	85
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	85
Jhoster Baez R 2024 · 4.57 FIP	19	SP-	4.57	17.3%	14.8%	1.9%	.283	5.93	15.9%	-5.0%	73	+1.36	4.57	110	84
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	84
Josue Panacual R 2021 · 4.81 FIP	19	SW	4.81	17.5%	15.6%	2.2%	.286	4.41	14.2%	0.8%	91	-0.40	4.41	164	84
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	84
Luis De La Cruz R 2023 · 4.31 FIP	20	SW	4.31	17.5%	16.9%	1.0%	.281	5.19	18.3%	-2.9%	124	+0.88	3.55	158	82
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	82
Juan Mendez R 2021 · 4.45 FIP	22	SW	4.45	20.5%	14.2%	2.3%	.271	5.07	21.9%	6.1%	128	+0.62	3.69	156	82
Luis Rujano R 2023 · 4.68 FIP	20	SW	4.68	17.1%	16.6%	1.7%	.309	4.71	17.6%	1.2%	150	+0.03	4.54	203	82
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	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
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	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	81
Andinson Ferrer R 2023 · 4.72 FIP	19	SW	4.72	17.4%	13.7%	2.5%	.287	4.64	21.7%	2.1%	34	-0.08	4.04	101	81
Alimber Santa R 2021 · 4.85 FIP	18	SW	4.85	17.0%	11.4%	3.2%	.304	5.08	20.9%	1.8%	125	+0.23	3.30	277	80
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	80
Eccel Correa R 2023 · 4.39 FIP	20	SW	4.39	19.4%	11.9%	2.6%	.316	4.41	14.0%	2.2%	154	+0.02	3.96	189	80
Kobe Robinson R 2022 · 4.49 FIP	21	SW	4.49	23.2%	14.3%	2.8%	.296	3.44	18.8%	4.9%	84	-1.05	2.98	107	80