Jesus Colmenarez

P DSL CLE Mendoza

Age 19 RHP ROK

Overview

ROKPROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2026	18	ROKDSL CLE Mendo…	11	4	31	9.48	5.56	10.3%	14.5%	—	K 7.0% · BB 18.2% · FIP 6.21
2027PROJ	19	MLBPIT	18	0	19	5.74	5.74	16.9%	16.2%	-0.2
2028PROJ49% MLB	20	MLBPIT	14	0	15	5.41	5.29	18.6%	14.0%	-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%

CompsJoseph Hernandez (age 18) · Jhoster Baez (age 19) · Andinson Ferrer (age 19)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 142134vR 126

ERA5.74

FIP5.74

K%16.9%

BB%16.2%

K-BB%0.7%

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)
2026	18	ROK MLE	DSL CLE Mendoza	11	4	31	165	17	24	3	36%	2.8	7.0%	18.2%	-11.2%	2.5%	9.48	6.21	—
2026	18	ROK MLE	DSL CLE Mendoza	11	4	31	165	17	24	3	36%	2.8	7.0%	18.2%	-11.2%	2.5%	9.48	6.21	—
2026	18	ROK RAW	DSL CLE Mendoza	11	4	31	165	17	24	3	36%	2.8	10.3%	14.5%	-4.2%	1.8%	9.48	5.56	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	19	MLB	PIT	18	0	19	80	14	13	2	0%	1.1	16.9%	16.2%	0.7%	3.0%	5.74	5.74	-0.2
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	20	MLB MLE	PIT	28	0	30	125	23	18	4	0%	1.1	18.6%	14.0%	4.5%	2.9%	5.41	5.29	-0.2
2028	20	MLB CTX	PIT	14	0	15	63	12	9	2	0%	1.1	18.6%	14.0%	4.5%	2.9%	5.41	5.29	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		14	0	15	61	11	9	2	0%	1.0	18.6%	14.0%	4.5%	2.9%	5.41	4.91	-0.1
/ 200 IP	—	RAW		190	0	200	844	151	124	27	0%	1.1	18.6%	14.0%	4.5%	2.9%	5.41	4.91	-0.9
Career	—	MLE		11	4	31	165	12	30	4	36%	2.8	7.0%	18.2%	-11.2%	2.5%	9.48	6.21	-0.3
/ 200 IP	—	MLE		70	26	200	1053	74	191	27	36%	2.8	7.0%	18.2%	-11.2%	2.5%	9.48	6.21	-1.7

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
Jesus Colmenarez (OGILVIE)	—	—	5.74	16.9%	16.2%	3.0%	—	5.29	18.6%	4.5%	30	-0.45	—	—	—
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	88
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	85
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	84
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	83
Yeriel Santos R 2023 · 5.89 FIP	19	SW	5.89	17.4%	22.9%	2.5%	.239	5.80	16.0%	-0.9%	276	-0.09	4.44	351	83
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	83
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	83
Juan Soto R 2022 · 5.88 FIP	19	SW	5.88	16.4%	21.4%	2.7%	.274	6.68	8.9%	-15.1%	26	+0.80	5.06	102	83
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	82
Dante Mendoza R 2018 · 5.90 FIP	19	SW	5.90	14.9%	14.1%	4.1%	.259	—	—	—	—	—	3.40	113	82
Juan Perez R 2016 · 5.39 FIP	21	SW	5.39	15.4%	14.1%	3.3%	.321	4.52	10.8%	0.0%	56	-0.87	4.52	113	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
Leudy Martinez R 2019 · 5.99 FIP	19	SW	5.99	15.2%	22.0%	2.5%	.292	—	—	—	—	—	3.40	116	82
Jose Olivares R 2022 · 4.99 FIP	19	SW	4.99	18.4%	14.4%	2.9%	.276	4.78	18.6%	4.1%	222	-0.21	3.05	308	82
Jose Alberto Rivera R 2017 · 5.65 FIP	20	SW	5.65	16.1%	19.2%	2.7%	.185	3.68	20.3%	9.9%	115	-1.97	3.39	163	81
Kamdyn Perry R 2024 · 5.61 FIP	18	SW	5.61	12.3%	18.4%	2.2%	.300	5.55	14.9%	1.0%	116	-0.06	5.31	142	81
Eury Ramos R 2017 · 5.40 FIP	19	SW	5.40	13.0%	14.8%	2.8%	.343	7.19	14.1%	0.6%	29	+1.79	3.33	176	81
Sven Schüller R 2015 · 5.92 FIP	19	SW	5.92	13.2%	23.4%	1.8%	.320	4.44	11.5%	0.8%	160	-1.48	3.88	247	81
Zac Correll R 2015 · 4.75 FIP	19	SW	4.75	13.9%	11.7%	2.5%	.282	2.82	19.3%	10.8%	72	-1.93	2.59	112	81
Alfredo Romero R 2022 · 6.31 FIP	19	SW	6.31	16.7%	16.6%	4.6%	.172	4.44	14.6%	-1.1%	146	-1.87	4.40	256	81