Nestor Gonzalez

P DSL Rangers Blue

Age 19 RHP 6'1" / 175 lbs ROK peak 0.1 · 2028

Overview

ROKPROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2025	17	ROKDSL Rangers B…	7	5	19	10.24	5.58	18.4%	19.4%	—	K 12.5% · BB 24.3% · FIP 6.62
2027PROJ	19	MLBTEX	2	2	12	5.46	5.46	21.6%	17.0%	-0.1
2028PROJ49% MLB	20	MLBTEX	2	2	10	5.19	5.08	22.1%	14.6%	-0.0

Next 2 projected WAR -0.1Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

CompsDaniel Corniel (age 19) · Junior Mieses (age 19) · Janser Lara (age 19)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 137129vR 121

ERA5.46

FIP5.46

K%21.6%

BB%17.0%

K-BB%4.5%

Proj IP12

Value2027 · WAR

Runs saved vs league avg · 12 IP

Grades · Contract

Scouting Grades

K†5055

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 Rangers Blue	7	5	19	103	19	20	2	71%	2.8	12.5%	24.3%	-11.7%	2.7%	10.24	6.62	—
2025	17	ROK MLE	DSL Rangers Blue	7	5	19	103	19	20	2	71%	2.8	12.5%	24.3%	-11.7%	2.7%	10.24	6.62	—
2025	17	ROK RAW	DSL Rangers Blue	7	5	19	103	19	20	2	71%	2.8	18.4%	19.4%	-1.0%	1.9%	10.24	5.58	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	19	MLB	TEX	2	2	12	51	11	9	2	100%	6.0	21.6%	17.0%	4.5%	3.0%	5.46	5.46	-0.1
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	20	MLB MLE	TEX	4	4	20	84	19	12	2	100%	5.0	22.1%	14.6%	7.5%	2.9%	5.19	5.08	-0.0
2028	20	MLB CTX	TEX	2	2	10	42	9	6	1	100%	5.0	22.1%	14.6%	7.5%	2.9%	5.19	5.08	-0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		2	2	10	42	9	6	1	100%	4.9	22.1%	14.6%	7.5%	2.9%	5.19	4.70	+0.0
/ 200 IP	—	RAW		36	36	200	844	183	122	20	100%	5.5	22.1%	14.6%	7.5%	2.9%	5.19	4.70	+0.5
Career	—	MLE		7	5	19	103	13	25	3	71%	2.8	12.5%	24.3%	-11.7%	2.7%	10.24	6.62	-0.0
/ 200 IP	—	MLE		72	52	200	1066	134	259	29	71%	2.8	12.5%	24.3%	-11.7%	2.7%	10.24	6.62	-0.4

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
Nestor Gonzalez (OGILVIE)	—	—	5.46	21.6%	17.0%	3.0%	—	5.08	22.1%	7.5%	20	-0.38	—	—	—
Daniel Corniel R 2023 · 5.15 FIP	19	SP-	5.15	20.3%	17.1%	2.9%	.364	4.37	15.7%	3.2%	140	-0.78	3.50	218	85
Junior Mieses R 2019 · 4.87 FIP	19	SP-	4.87	19.9%	19.2%	1.9%	.296	6.10	18.9%	-1.2%	134	+1.23	4.87	236	84
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	84
Wilian Bormie R 2023 · 5.84 FIP	22	SP-	5.84	21.6%	20.4%	3.6%	.275	4.13	23.2%	9.3%	203	-1.71	3.51	226	82
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	82
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	82
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	81
Cristian Hernandez R 2024 · 4.39 FIP	19	SP	4.39	23.5%	19.9%	1.4%	.269	5.41	18.1%	2.6%	62	+1.02	4.39	116	80
Jefferson Jean R 2024 · 6.45 FIP	19	SP-	6.45	18.3%	21.5%	4.0%	.311	4.79	16.9%	-0.3%	87	-1.66	4.79	132	80
Reibyn Corona R 2021 · 5.02 FIP	19	SP-	5.02	17.0%	13.1%	3.1%	.290	5.53	14.5%	1.7%	63	+0.51	4.48	190	80
Marco Jimenez R 2022 · 5.27 FIP	22	SP-	5.27	19.6%	17.7%	2.9%	.372	3.89	18.3%	6.7%	148	-1.38	3.36	183	79
Biembenido Brito R 2022 · 4.64 FIP	19	SP	4.64	24.7%	18.5%	2.3%	.301	5.37	18.7%	-1.3%	91	+0.73	3.58	130	79
Tahnaj Thomas R 2018 · 5.06 FIP	19	SP-	5.06	23.0%	15.6%	3.5%	.268	6.04	17.0%	2.7%	61	+0.98	3.81	214	79
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	79
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	79
Bryan Polanco R 2022 · 5.18 FIP	20	SP-	5.18	18.2%	14.3%	3.3%	.248	5.58	13.0%	1.2%	243	+0.40	5.18	374	79
Yoniel Curet R 2022 · 5.18 FIP	19	SP-	5.18	21.8%	17.5%	3.1%	.205	3.80	23.9%	8.1%	273	-1.38	3.40	394	79
Eriq Swan R 2024 · 4.85 FIP	22	SP-	4.85	19.7%	17.3%	2.2%	.371	5.28	19.7%	0.9%	109	+0.43	4.85	132	78
Jaydenn Estanista R 2021 · 4.72 FIP	19	SP-	4.72	18.1%	19.2%	1.3%	.254	5.35	21.0%	2.6%	109	+0.63	4.59	230	78
Deivy Mendez R 2015 · 4.43 FIP	19	SP-	4.43	20.3%	20.5%	0.8%	.308	4.98	22.9%	3.4%	81	+0.55	2.84	130	78