Julio Gonzalez

P FCL Mets

Age 20 RHP 6'2" / 205 lbs ROK

Overview

ROKPROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2025	18	ROKDSL Mets Oran…	12	4	35	2.55	2.34	21.6%	7.9%	—	K 14.7% · BB 9.9% · FIP 3.11
2026	19	MIX2 levels	7	3	18	8.50	9.27	19.2%	10.3%	—	K 12.7% · BB 13.3% · FIP 12.94
2027PROJ	20	MLBNYM	13	0	14	4.98	4.98	19.8%	11.1%	-0.1
2028PROJ49% MLB	21	MLBNYM	15	0	16	4.82	4.75	20.7%	10.2%	-0.0

Next 2 projected WAR -0.1Projected 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 2% · didn't stick 96%

CompsEccel Correa (age 20) · Deretd Parra (age 19) · Saul Teran (age 20)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 128120vR 112

ERA4.98

FIP4.98

K%19.8%

BB%11.1%

K-BB%8.8%

Proj IP14

Value2027 · WAR

Runs saved vs league avg · 14 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	18	ROK MLE	DSL Mets Orange	12	4	35	139	30	11	0	33%	2.9	14.7%	9.9%	4.8%	0.0%	2.55	3.11	—
2025	18	ROK MLE	DSL Mets Orange	12	4	35	139	30	11	0	33%	2.9	14.7%	9.9%	4.8%	0.0%	2.55	3.11	—
2025	18	ROK RAW	DSL Mets Orange	12	4	35	139	30	11	0	33%	2.9	21.6%	7.9%	13.7%	0.0%	2.55	2.34	—
2026	19	MIX MLE	2 levels	7	3	18	78	15	8	9	43%	2.6	12.7%	13.3%	-0.6%	16.8%	8.50	12.94	—
2026	19	MIX MLE	2 levels	7	3	18	78	15	8	9	43%	2.6	12.7%	13.3%	-0.6%	16.8%	8.50	12.94	—
2026	19	MIX RAW	2 levels	7	3	18	78	15	8	9	43%	2.6	19.2%	10.3%	9.0%	11.5%	8.50	9.27	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	20	MLB	NYM	13	0	14	59	12	7	2	0%	1.1	19.8%	11.1%	8.8%	3.2%	4.98	4.98	-0.1
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	21	MLB MLE	NYM	32	0	33	141	29	14	4	0%	1.0	20.7%	10.2%	10.5%	3.1%	4.82	4.75	-0.1
2028	21	MLB CTX	NYM	15	0	16	68	14	7	2	0%	1.1	20.7%	10.2%	10.5%	3.1%	4.82	4.75	-0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		16	0	16	69	14	7	2	0%	1.0	20.7%	10.2%	10.5%	3.1%	4.82	4.37	+0.0
/ 200 IP	—	RAW		190	0	200	844	171	85	24	0%	1.1	20.7%	10.2%	10.5%	3.1%	4.82	4.37	+0.4
Career	—	MLE		19	7	53	217	30	24	13	37%	2.8	14.0%	11.1%	2.8%	6.0%	4.56	6.65	-0.1
/ 200 IP	—	MLE		71	26	200	814	114	91	49	37%	2.8	14.0%	11.1%	2.8%	6.0%	4.56	6.65	-0.5

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
Julio Gonzalez (OGILVIE)	—	—	4.98	19.8%	11.1%	3.2%	—	4.75	20.7%	10.5%	33	-0.23	—	—	—
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	88
Deretd Parra R 2019 · 5.29 FIP	19	SP-	5.29	16.8%	10.9%	4.1%	.295	3.85	15.7%	2.3%	83	-1.44	2.79	161	86
Saul Teran R 2022 · 4.81 FIP	20	SW	4.81	17.5%	9.8%	3.5%	.333	3.88	20.8%	8.7%	94	-0.93	2.28	166	85
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	83
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	83
Felix Arronde R 2023 · 4.42 FIP	20	SW	4.42	20.2%	12.1%	2.7%	.275	4.98	15.8%	5.8%	344	+0.56	4.16	442	83
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
Nick Lockhart R 2021 · 5.73 FIP	20	SW	5.73	18.3%	11.6%	4.9%	.315	4.53	19.3%	9.0%	92	-1.20	4.44	140	82
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	82
Simon Mathews R 2017 · 4.09 FIP	21	SW	4.09	17.7%	7.5%	2.8%	.326	4.42	16.0%	5.9%	167	+0.33	4.09	215	81
Adrián Martinez R 2017 · 4.30 FIP	20	SW	4.30	18.8%	8.4%	3.1%	.329	4.25	17.3%	7.6%	92	-0.05	2.02	526	80
Lisandro Almonte R 2022 · 4.73 FIP	20	SP-	4.73	17.9%	10.3%	3.3%	.310	5.04	20.5%	3.3%	50	+0.31	3.81	128	80
Jose Vasquez R 2024 · 4.12 FIP	19	SW	4.12	21.9%	13.4%	2.1%	.359	6.49	15.6%	-10.2%	66	+2.37	4.12	123	80
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	79
Daniel Hudson R 2009 · 5.06 FIP	22	SW	5.06	17.1%	11.0%	3.7%	.232	3.42	19.4%	13.6%	363	-1.64	1.68	850	78
Huei-Sheng Lin R 2019 · 4.59 FIP	20	SW	4.59	17.4%	7.4%	3.7%	.360	5.64	16.1%	3.7%	88	+1.05	4.59	120	78
Rodolfo Sanchez R 2021 · 4.71 FIP	21	SW	4.71	23.0%	13.6%	3.3%	.264	4.83	19.9%	6.3%	104	+0.12	3.59	255	78
Miguel Alfonseca R 2021 · 4.19 FIP	21	SP-	4.19	18.3%	12.1%	2.0%	.400	5.36	14.9%	-0.9%	92	+1.17	4.19	123	78
Julio Goff R 2019 · 4.80 FIP	19	SW	4.80	16.1%	11.9%	2.8%	.364	4.70	16.4%	5.9%	207	-0.10	4.46	251	78
Darwin Ramos R 2016 · 4.03 FIP	20	SW	4.03	16.0%	11.2%	1.6%	.353	3.66	15.7%	5.9%	177	-0.37	3.34	262	78