Joseilyn Gonzalez

P Great Lakes Loons

Age 25 RHP 5'11" / 160 lbs A+

Overview

A+PROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2025	23	A+LAD	40	1	45	2.80	4.23	19.2%	19.2%	—	K 14.8% · BB 22.1% · FIP 5.00
2026	24	A+LAD	28	0	36	5.80	4.36	24.3%	14.8%	—	K 18.7% · BB 17.0% · FIP 5.30
2027PROJ	25	MLBLAD	57	0	60	6.25	6.25	15.7%	20.0%	-1.1
2028PROJ43% MLB	26	MLBLAD	25	0	26	6.03	6.01	16.9%	18.9%	-0.4
2029PROJ63% MLB	27	MLBLAD	35	0	37	5.91	5.92	17.4%	18.2%	-0.5

Next 3 projected WAR -2.0Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Scouting grades · 20-80

Stuff35Control20Command20

Career WAR0 WAR median (P10 0 / P90 0, comp-based) · star 0% · didn't stick 99%

CompsCre Finfrock (age 26) · Jeff Soptic (age 25) · Wandi Montout (age 25)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 152144vR 136

ERA6.25

FIP6.25

K%15.7%

BB%20.0%

K-BB%-4.4%

Proj IP60

Value2027 · WAR

Runs saved vs league avg · 60 IP

Grades · Contract

Scouting Grades

STUF3535

CTRL2020

CMD2020

K†3040

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)
2022	20	ROK MLE	DSL LAD Mega	17	1	26	117	25	8	3	6%	1.5	14.5%	8.5%	6.0%	3.7%	6.66	4.98	—
2022	20	ROK RAW	DSL LAD Mega	17	1	26	117	25	8	3	6%	1.5	21.4%	6.8%	14.5%	2.6%	6.66	3.61	—
2024	22	A MLE	Rancho Cucamonga Quakes	39	0	62	287	55	35	7	0%	1.6	14.2%	14.4%	-0.2%	3.0%	5.66	5.35	—
2024	22	A MLE	Rancho Cucamonga Quakes	39	0	62	287	55	35	7	0%	1.6	14.2%	14.4%	-0.2%	3.0%	5.66	5.35	—
2024	22	A RAW	Rancho Cucamonga Quakes	39	0	62	287	55	35	7	0%	1.6	19.2%	12.2%	7.0%	2.4%	5.66	4.49	—
2025	23	A+ MLE	Great Lakes Loons	40	1	45	198	38	38	1	2%	1.1	14.8%	22.1%	-7.3%	0.6%	2.80	5.00	—
2025	23	A+ MLE	Great Lakes Loons	40	1	45	198	38	38	1	2%	1.1	14.8%	22.1%	-7.3%	0.6%	2.80	5.00	—
2025	23	A+ RAW	Great Lakes Loons	40	1	45	198	38	38	1	2%	1.1	19.2%	19.2%	0.0%	0.5%	2.80	4.23	—
2026	24	A+ MLE	Great Lakes Loons	28	0	36	169	41	25	4	0%	1.3	18.7%	17.0%	1.7%	3.0%	5.80	5.30	—
2026	24	A+ MLE	Great Lakes Loons	28	0	36	169	41	25	4	0%	1.3	18.7%	17.0%	1.7%	3.0%	5.80	5.30	—
2026	24	A+ RAW	Great Lakes Loons	28	0	36	169	41	25	4	0%	1.3	24.3%	14.8%	9.5%	2.4%	5.80	4.36	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	25	MLB	LAD	57	0	60	253	40	51	7	0%	1.1	15.7%	20.0%	-4.4%	2.8%	6.25	6.25	-1.1
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	26	MLB MLE	LAD	57	0	60	251	42	47	7	0%	1.0	16.9%	18.9%	-2.0%	2.9%	6.03	6.01	-0.9
2029	27	MLB MLE	LAD	56	0	59	247	43	45	7	0%	1.0	17.4%	18.2%	-0.8%	2.9%	5.91	5.92	-0.9
2028	26	MLB CTX	LAD	25	0	26	110	19	21	3	0%	1.0	16.9%	18.9%	-2.0%	2.9%	6.03	6.01	-0.4
2029	27	MLB CTX	LAD	35	0	37	156	27	28	5	0%	1.1	17.4%	18.2%	-0.8%	2.9%	5.91	5.92	-0.5
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		59	0	62	264	45	49	8	0%	1.1	17.2%	18.5%	-1.3%	2.9%	5.96	5.58	-0.7
/ 200 IP	—	RAW		190	0	200	844	144	157	26	0%	1.1	17.2%	18.5%	-1.3%	2.9%	5.96	5.58	-2.4
Career	—	MLE		124	2	168	771	119	124	19	2%	1.4	15.4%	16.1%	-0.7%	2.5%	5.08	5.19	-1.9
/ 200 IP	—	MLE		147	2	200	916	141	147	23	2%	1.4	15.4%	16.1%	-0.7%	2.5%	5.08	5.19	-3.3

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
Joseilyn Gonzalez (OGILVIE)	—	—	6.25	15.7%	20.0%	2.8%	—	5.97	17.1%	-1.4%	118	-0.28	—	—	—
Cre Finfrock R 2022 · 6.31 FIP	26	SU	6.31	16.7%	25.2%	2.6%	.309	—	—	—	—	—	4.27	103	85
Jeff Soptic R 2016 · 5.52 FIP	25	SU	5.52	13.6%	15.3%	3.0%	.326	—	—	—	—	—	5.30	124	84
Wandi Montout R 2022 · 5.59 FIP	25	SU	5.59	13.4%	18.7%	2.3%	.273	—	—	—	—	—	3.16	103	84
Jeff Ames R 2016 · 5.17 FIP	25	SU	5.17	18.0%	16.1%	2.8%	.229	4.34	25.2%	11.2%	142	-0.83	3.85	272	83
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	83
Jairo Beras R 2019 · 5.47 FIP	24	SU	5.47	15.0%	20.3%	1.9%	.310	—	—	—	—	—	3.48	110	82
Noah Takacs R 2024 · 5.77 FIP	22	SU	5.77	12.5%	16.4%	3.0%	.301	5.68	13.4%	-2.3%	91	-0.09	5.25	130	82
Christian Ruebeck R 2024 · 6.03 FIP	23	SU	6.03	20.6%	24.4%	2.9%	.265	4.57	21.6%	1.9%	70	-1.46	4.35	104	82
Jonathan Teaney R 2019 · 5.65 FIP	23	SU	5.65	16.4%	15.7%	3.5%	.301	—	—	—	—	—	4.77	108	82
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	82
Tommy DeJuneas R 2021 · 5.65 FIP	25	SU	5.65	13.7%	17.6%	2.7%	.277	—	—	—	—	—	3.93	178	82
Leandro Linares R 2018 · 5.49 FIP	24	SU	5.49	16.2%	22.0%	1.8%	.353	—	—	—	—	—	1.93	134	81
Yunior Thibo R 2023 · 5.32 FIP	25	SU	5.32	14.3%	15.6%	2.7%	.231	—	—	—	—	—	4.42	110	81
Will McAffer R 2022 · 5.37 FIP	25	SU	5.37	14.5%	20.2%	1.7%	.260	—	—	—	—	—	4.68	133	80
Hunter Breault R 2024 · 5.98 FIP	25	SU	5.98	17.1%	17.6%	3.8%	.336	5.59	7.6%	-3.2%	45	-0.39	2.90	186	80
Julian Arballo R 2015 · 5.13 FIP	27	SU	5.13	15.1%	13.8%	2.8%	.335	4.46	12.6%	0.6%	116	-0.67	4.45	214	80
Austin Pettibone R 2016 · 5.11 FIP	23	SU	5.11	14.6%	16.2%	2.2%	.333	—	—	—	—	—	3.99	142	80
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	79
Carlos Polanco R 2017 · 5.71 FIP	23	SU	5.71	13.9%	20.0%	2.3%	.267	—	—	—	—	—	3.70	276	79
Tim Elliott R 2023 · 6.21 FIP	25	SU	6.21	15.5%	16.1%	4.3%	.338	—	—	—	—	—	5.54	138	78

Career Comps

Completed MLB careers (no pro action in 2+ yrs) whose totals — actual + projected — most resemble this player's. Pool: 1,474 reliever careers (754 from 1990-2025 + 720 historical, 1901-2023), also matched on career-to-date at the same age. * Historical (Lahman) careers: rates era-adjusted to 2001-24 league levels; WAR is an OGILVIE proxy.

Player	162s	IP/yr	K%	BB%	HR/9	ERA
OGILVIE CAREER PROJECTION	0.9	59	16.6%	19.0%	1.11	6.06
Doug Creek ('05)	1.4	58	22.2%	15.1%	1.52	5.32
Richie Lewis ('98)	1.5	59	18.1%	14.1%	1.38	4.88
Brian Bruney ('12)	1.3	43	21.2%	15.8%	0.94	4.68
Dwayne Henry ('84-'95, -1 WAR*)	1.7	67	23.8%*	14.2%*	0.90*	5.02*
Ron Piche ('60-'66, -3 WAR*)	1.1	44	20.6%*	12.8%*	1.14*	5.06*
Dave Jolly ('53-'57, -0 WAR*)	1.5	58	20.2%*	14.3%*	0.91*	4.33*