Jose G. Gonzalez

P ACL Giants

Age 25 RHP 6'1" / 180 lbs ROK

Overview

ROKPROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2025	23	ROKDSL Giants Or…	19	32	5.12	4.43	16.4%	14.9%	—	K 11.2% · BB 18.7% · FIP 5.71
2026	24	ROKSF	18	22	8.18	4.60	14.3%	11.6%	—	K 9.7% · BB 14.5% · FIP 5.49
2027PROJ	25	MLBSF	15	16	5.45	5.45	17.8%	14.7%	-0.2
2028PROJ43% MLB	26	MLBSF	11	12	5.30	5.28	19.1%	14.1%	-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%

CompsAndrew McInvale (age 25) · Francisco Del Rosario (age 25) · Haden Erbe (age 25)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 137129vR 120

ERA5.45

FIP5.45

K%17.8%

BB%14.7%

K-BB%3.1%

Proj IP16

Value2027 · WAR

Runs saved vs league avg · 16 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)
2021	19	ROK MLE	DSL Giants Orange	14	0	18	88	21	16	1	0%	1.3	16.2%	22.7%	-6.5%	1.5%	5.60	5.42	—
2021	19	ROK RAW	DSL Giants Orange	14	0	18	88	21	16	1	0%	1.3	23.9%	18.2%	5.7%	1.1%	5.60	4.18	—
2022	20	ROK MLE	DSL Giants Black	11	0	17	89	18	13	2	0%	1.6	13.8%	18.3%	-4.5%	2.9%	7.27	5.86	—
2022	20	ROK RAW	DSL Giants Black	11	0	17	89	18	13	2	0%	1.6	20.2%	14.6%	5.6%	2.2%	7.27	4.77	—
2023	21	ROK MLE	DSL Giants Orange	14	7	41	174	40	19	4	50%	3.0	15.6%	13.6%	2.0%	3.4%	4.35	5.37	—
2023	21	ROK RAW	DSL Giants Orange	14	7	41	174	40	19	4	50%	3.0	23.0%	10.9%	12.1%	2.3%	4.35	3.80	—
2024	22	ROK MLE	DSL Giants Black	11	8	35	164	40	20	0	73%	3.2	16.6%	15.2%	1.3%	0.0%	6.94	3.63	—
2024	22	ROK MLE	DSL Giants Black	11	8	35	164	40	20	0	73%	3.2	16.6%	15.2%	1.3%	0.0%	6.94	3.63	—
2024	22	ROK RAW	DSL Giants Black	11	8	35	164	40	20	0	73%	3.2	24.4%	12.2%	12.2%	0.0%	6.94	2.53	—
2025	23	ROK MLE	DSL Giants Orange	19	0	32	134	22	20	2	0%	1.7	11.2%	18.7%	-7.5%	2.2%	5.12	5.71	—
2025	23	ROK MLE	DSL Giants Orange	19	0	32	134	22	20	2	0%	1.7	11.2%	18.7%	-7.5%	2.2%	5.12	5.71	—
2025	23	ROK RAW	DSL Giants Orange	19	0	32	134	22	20	2	0%	1.7	16.4%	14.9%	1.5%	1.5%	5.12	4.43	—
2026	24	ROK MLE	ACL Giants	18	0	22	112	16	13	2	0%	1.2	9.7%	14.5%	-4.8%	2.5%	8.18	5.49	—
2026	24	ROK MLE	ACL Giants	18	0	22	112	16	13	2	0%	1.2	9.7%	14.5%	-4.8%	2.5%	8.18	5.49	—
2026	24	ROK RAW	ACL Giants	18	0	22	112	16	13	2	0%	1.2	14.3%	11.6%	2.7%	1.8%	8.18	4.60	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	25	MLB	SF	15	0	16	68	12	10	2	0%	1.1	17.8%	14.7%	3.1%	2.9%	5.45	5.45	-0.2
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	26	MLB MLE	SF	27	0	28	120	23	17	4	0%	1.1	19.1%	14.1%	5.0%	3.0%	5.30	5.28	-0.2
2028	26	MLB CTX	SF	11	0	12	51	10	7	1	0%	1.1	19.1%	14.1%	5.0%	3.0%	5.30	5.28	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		12	0	12	51	10	7	2	0%	1.0	19.1%	14.1%	5.0%	3.0%	5.30	4.90	-0.0
/ 200 IP	—	RAW		190	0	200	844	164	115	33	0%	1.1	19.1%	14.1%	5.0%	3.0%	5.30	4.90	-0.8
Career	—	MLE		87	15	165	761	107	126	16	17%	1.9	14.0%	16.6%	-2.6%	2.0%	6.00	5.14	-0.2
/ 200 IP	—	MLE		105	18	200	922	129	153	19	17%	1.9	14.0%	16.6%	-2.6%	2.0%	6.00	5.14	-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
Jose G. Gonzalez (OGILVIE)	—	—	5.45	17.8%	14.7%	2.9%	—	5.28	19.1%	5.0%	28	-0.17	—	—	—
Andrew McInvale R 2022 · 5.15 FIP	25	SU	5.15	17.6%	15.9%	2.8%	.324	6.44	24.5%	10.0%	23	+1.29	4.92	103	87
Francisco Del Rosario R 2006 · 5.13 FIP	25	SU	5.13	19.4%	13.0%	3.7%	.290	3.93	19.7%	10.3%	26	-1.20	3.93	194	86
Haden Erbe R 2024 · 5.28 FIP	25	SU	5.28	18.4%	16.5%	3.0%	.320	5.19	17.8%	0.5%	40	-0.09	5.19	116	86
Hayden Snelsire R 2024 · 5.10 FIP	23	SU	5.10	18.9%	13.8%	3.4%	.272	4.28	20.0%	13.7%	135	-0.82	3.83	178	84
Kevin Kopps R 2022 · 4.56 FIP	25	SU	4.56	20.2%	15.1%	2.3%	.278	4.40	16.3%	4.0%	182	-0.16	3.45	237	82
Jeremy Guthrie R 2006 · 4.92 FIP	27	SU	4.92	15.1%	15.1%	2.1%	.349	4.57	14.8%	8.1%	566	-0.35	4.08	1,834	82
Yordy Cabrera R 2016 · 4.99 FIP	25	SU	4.99	15.8%	17.2%	1.9%	.321	4.17	13.7%	2.7%	140	-0.82	3.43	159	82
Tyler Burch R 2023 · 4.92 FIP	25	SU	4.92	15.0%	12.6%	2.7%	.285	—	—	—	—	—	4.56	119	81
Ray Gaither R 2023 · 4.89 FIP	25	SU	4.89	18.1%	16.4%	2.3%	.278	4.13	18.4%	7.3%	90	-0.76	3.84	164	81
Tanner Duncan R 2019 · 5.37 FIP	24	SU	5.37	17.5%	14.8%	3.4%	.301	—	—	—	—	—	3.28	123	81
Casey Fien R 2009 · 5.17 FIP	25	SU	5.17	17.0%	11.3%	3.8%	.306	2.79	22.7%	19.2%	35	-2.38	2.79	308	81
David Holman R 2017 · 5.53 FIP	27	SU	5.53	15.6%	12.7%	3.9%	.324	5.45	9.6%	0.5%	107	-0.08	5.28	129	81
Grant Black R 2021 · 4.46 FIP	27	SW	4.46	19.0%	13.9%	2.2%	.327	5.35	15.0%	3.8%	156	+0.89	4.46	215	81
Jake Gilbert R 2022 · 4.65 FIP	25	SU	4.65	18.2%	16.2%	1.9%	.331	—	—	—	—	—	4.14	103	81
Michael Blazek R 2013 · 5.52 FIP	24	SU	5.52	16.7%	15.5%	3.4%	.241	3.81	19.8%	10.3%	97	-1.71	2.99	238	81
Sean Wymer R 2022 · 4.71 FIP	25	SU	4.71	18.2%	14.1%	2.5%	.227	—	—	—	—	—	4.18	188	81
Thad Weber R 2013 · 5.18 FIP	28	SU	5.18	16.4%	13.1%	3.3%	.244	4.52	12.2%	6.0%	308	-0.66	4.40	378	81
Marc Brakeman R 2018 · 4.67 FIP	24	SU	4.67	18.3%	13.7%	2.5%	.294	—	—	—	—	—	3.85	156	81
Ryan Conroy R 2022 · 4.75 FIP	25	SU	4.75	19.3%	12.6%	3.1%	.361	—	—	—	—	—	4.01	106	80
Derek Eitel R 2015 · 4.35 FIP	27	SU	4.35	18.1%	13.9%	1.8%	.338	4.26	19.7%	5.0%	113	-0.09	3.96	138	80