Yendy Gomez

P Lakeland Flying Tigers

Age 23 RHP 6'2" / 170 lbs A peak 0.1 · 2029

Overview

APROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	20	MIX2 levels	36	53	3.54	3.31	23.1%	9.3%	—	K 16.1% · BB 11.2% · FIP 4.66
2025	21	MIX2 levels	26	39	4.15	2.38	22.3%	6.6%	—	K 17.5% · BB 7.1% · FIP 3.22
2026	22	ADET	39	58	2.81	2.94	21.1%	9.3%	—	K 15.6% · BB 11.0% · FIP 3.75
2027PROJ	23	MLBDET	32	34	4.75	4.75	18.0%	10.2%	-0.1
2028PROJ43% MLB	24	MLBDET	22	23	4.61	4.54	19.5%	9.6%	0.0
2029PROJ66% MLB	25	MLBDET	34	36	4.50	4.43	20.4%	9.2%	0.1

Next 3 projected WAR -0.0Projected 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 98%

CompsMatt Pidich (age 23) · Thomas Balboni Jr. (age 23) · Jayson McKinley (age 23)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 123115vR 107

ERA4.75

FIP4.75

K%18.0%

BB%10.2%

K-BB%7.8%

Proj IP34

Value2027 · WAR

Runs saved vs league avg · 34 IP

Grades · Contract

Scouting Grades

K†4050

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	17	ROK MLE	DSL Angels	12	8	41	198	29	18	5	67%	3.4	10.0%	11.4%	-1.4%	3.9%	6.59	5.85	—
2021	17	ROK RAW	DSL Angels	12	8	41	198	29	18	5	67%	3.4	14.6%	9.1%	5.6%	2.5%	6.59	4.59	—
2022	18	ROK MLE	ACL Angels	7	2	16	83	13	13	2	29%	2.3	10.7%	19.6%	-8.9%	3.6%	10.69	6.64	—
2022	18	ROK RAW	ACL Angels	7	2	16	83	13	13	2	29%	2.3	15.7%	15.7%	0.0%	2.4%	10.69	5.54	—
2023	19	ROK MLE	ACL Angels	12	8	55	261	49	19	7	67%	4.6	12.8%	9.1%	3.7%	4.1%	6.55	5.44	—
2023	19	ROK RAW	ACL Angels	12	8	55	261	49	19	7	67%	4.6	18.8%	7.3%	11.5%	2.7%	6.55	4.01	—
2024	20	MIX MLE	2 levels	36	0	53	225	52	21	4	0%	1.5	16.1%	11.2%	4.9%	2.7%	3.54	4.66	—
2024	20	MIX MLE	2 levels	36	0	53	225	52	21	4	0%	1.5	16.1%	11.2%	4.9%	2.7%	3.54	4.66	—
2024	20	MIX RAW	2 levels	36	0	53	225	52	21	4	0%	1.5	23.1%	9.3%	13.8%	1.8%	3.54	3.31	—
2025	21	MIX MLE	2 levels	26	0	39	166	37	11	1	0%	1.5	17.5%	7.1%	10.5%	1.3%	4.15	3.22	—
2025	21	MIX MLE	2 levels	26	0	39	166	37	11	1	0%	1.5	17.5%	7.1%	10.5%	1.3%	4.15	3.22	—
2025	21	MIX RAW	2 levels	26	0	39	166	37	11	1	0%	1.5	22.3%	6.6%	15.7%	0.6%	4.15	2.38	—
2026	22	A MLE	Lakeland Flying Tigers	39	0	58	247	52	23	2	0%	1.5	15.6%	11.0%	4.6%	1.1%	2.81	3.75	—
2026	22	A MLE	Lakeland Flying Tigers	39	0	58	247	52	23	2	0%	1.5	15.6%	11.0%	4.6%	1.1%	2.81	3.75	—
2026	22	A RAW	Lakeland Flying Tigers	39	0	58	247	52	23	2	0%	1.5	21.1%	9.3%	11.7%	0.8%	2.81	2.94	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	23	MLB	DET	32	0	34	144	26	15	4	0%	1.1	18.0%	10.2%	7.8%	2.7%	4.75	4.75	-0.1
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	24	MLB MLE	DET	51	0	53	225	44	21	6	0%	1.0	19.5%	9.6%	9.9%	2.7%	4.61	4.54	+0.0
2029	25	MLB MLE	DET	51	0	54	228	46	21	6	0%	1.1	20.4%	9.2%	11.2%	2.7%	4.50	4.43	+0.1
2030	26	MLB MLE	DET	51	0	54	228	47	21	6	0%	1.1	20.8%	9.2%	11.6%	2.7%	4.43	4.39	+0.1
2031	27	MLB MLE	DET	51	0	53	224	47	21	6	0%	1.0	20.9%	9.3%	11.6%	2.8%	4.43	4.43	+0.1
2028	24	MLB CTX	DET	22	0	23	97	19	9	3	0%	1.0	19.5%	9.6%	9.9%	2.7%	4.61	4.54	+0.0
2029	25	MLB CTX	DET	34	0	36	152	31	14	4	0%	1.1	20.4%	9.2%	11.2%	2.7%	4.50	4.43	+0.1
2030	26	MLB CTX	DET	41	0	43	182	38	17	5	0%	1.0	20.8%	9.2%	11.6%	2.7%	4.43	4.39	+0.1
2031	27	MLB CTX	DET	43	0	45	190	40	18	5	0%	1.0	20.9%	9.3%	11.6%	2.8%	4.43	4.43	+0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		139	0	146	618	127	57	17	0%	1.1	20.5%	9.3%	11.2%	2.8%	4.48	4.06	+0.9
/ 200 IP	—	RAW		190	0	200	844	173	78	23	0%	1.1	20.5%	9.3%	11.2%	2.8%	4.48	4.06	+1.2
Career	—	MLE		132	18	262	1180	166	127	32	14%	2.0	14.1%	10.7%	3.3%	2.7%	5.02	4.78	+0.3
/ 200 IP	—	MLE		101	14	200	901	127	97	25	14%	2.0	14.1%	10.7%	3.3%	2.7%	5.02	4.78	+0.2

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
Yendy Gomez (OGILVIE)	—	—	4.75	18.0%	10.2%	2.7%	—	4.45	20.2%	10.9%	161	-0.30	—	—	—
Matt Pidich R 2018 · 4.42 FIP	23	SU	4.42	17.1%	8.3%	3.1%	.303	4.08	20.8%	13.3%	115	-0.34	4.05	196	90
Thomas Balboni Jr. R 2023 · 3.99 FIP	23	SU	3.99	17.5%	10.9%	1.8%	.331	3.47	28.1%	14.3%	79	-0.52	2.99	122	90
Jayson McKinley R 2017 · 4.39 FIP	23	SU	4.39	17.5%	11.4%	2.4%	.308	3.60	20.4%	11.3%	134	-0.79	2.35	173	90
Colby Morris R 2021 · 4.11 FIP	24	SU	4.11	20.4%	10.7%	2.5%	.291	5.76	16.2%	4.4%	54	+1.65	4.11	105	89
Dylan Simmons R 2024 · 3.85 FIP	23	SU	3.85	17.8%	9.4%	1.9%	.295	5.10	12.7%	0.6%	74	+1.25	3.85	125	89
Todd Peterson R 2021 · 5.11 FIP	23	SW	5.11	18.4%	10.3%	4.1%	.279	4.83	15.0%	4.3%	124	-0.28	4.45	175	88
Justin Lasko R 2019 · 3.66 FIP	22	SU	3.66	17.1%	8.6%	1.7%	.286	4.62	15.8%	8.1%	152	+0.96	3.66	173	88
Brandon Beckel R 2024 · 3.75 FIP	22	SU	3.75	19.4%	10.3%	1.8%	.250	4.23	19.5%	10.5%	147	+0.48	3.75	194	88
Chris Powell R 2016 · 3.76 FIP	23	SU	3.76	16.9%	7.8%	2.0%	.266	3.53	18.8%	15.1%	28	-0.23	3.31	102	87
Heath Holder R 2016 · 4.16 FIP	23	SU	4.16	21.1%	10.1%	2.8%	.287	3.30	22.3%	13.1%	247	-0.86	2.94	367	87
Zac Ryan R 2017 · 3.83 FIP	23	SU	3.83	20.5%	10.9%	2.0%	.233	3.93	21.6%	6.9%	124	+0.10	3.83	184	87
Blake Goldsberry R 2021 · 4.09 FIP	24	SU	4.09	16.4%	8.1%	2.4%	.267	4.51	23.6%	13.4%	75	+0.42	3.43	117	87
Carlos Lequerica R 2024 · 3.92 FIP	23	SU	3.92	16.3%	10.0%	1.7%	.302	5.06	16.9%	5.1%	96	+1.14	3.92	129	87
Brett Standlee R 2022 · 4.13 FIP	23	SU	4.13	19.7%	11.1%	2.4%	.322	4.45	17.0%	8.9%	75	+0.32	4.13	128	87
Anyelo Leclerc R 2015 · 5.00 FIP	23	SU	5.00	16.2%	9.8%	3.7%	.326	4.65	15.9%	6.1%	96	-0.35	4.65	140	87
Owen Holt R 2022 · 3.72 FIP	23	SU	3.72	20.7%	10.2%	2.0%	.258	4.51	18.7%	6.4%	107	+0.79	3.72	145	87
Sean Isaac R 2016 · 4.27 FIP	23	SU	4.27	19.5%	12.3%	2.3%	.342	3.76	25.0%	10.7%	128	-0.51	3.27	155	87
Miguel Guerrero R 2023 · 4.56 FIP	23	SU	4.56	18.1%	10.3%	3.1%	.288	—	—	—	—	—	4.56	171	87
James McDonald R 2009 · 3.96 FIP	24	SU	3.96	19.3%	10.4%	2.1%	.283	4.16	20.4%	11.3%	414	+0.20	2.99	506	86
Luis Eusebio R 2019 · 4.92 FIP	23	SU	4.92	18.2%	10.6%	3.7%	.295	—	—	—	—	—	4.79	131	86

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	1.2	50	20.1%	9.4%	1.06	4.53
Kevin Quackenbush ('21)	1.0	52	21.0%	9.2%	1.04	4.41
Juan Gutierrez ('14)	1.4	57	19.4%	8.4%	1.04	4.49
Yency Almonte ('24)	1.1	45	22.5%	9.9%	1.13	4.44
Kevin Hickey ('81-'91, 0 WAR*)	1.2	47	17.7%*	10.2%*	1.10*	4.27*
Bill Pleis ('61-'66, -0 WAR*)	1.4	56	19.7%*	9.8%*	1.15*	4.53*
Bob Macdonald ('90-'96, 1 WAR*)	1.2	59	18.3%*	9.8%*	1.20*	4.32*