Brayan Vergara

P Rancho Cucamonga Quakes

Age 21 RHP 6'0" / 145 lbs A peak 0.7 · 2034

Overview

APROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	18	ROKLAA	16	0	33	1.91	2.22	25.4%	2.4%	—	K 17.3% · BB 3.0% · FIP 3.16
2025	19	MIX2 levels	13	5	55	2.63	3.08	17.1%	5.4%	—	K 12.4% · BB 6.2% · FIP 4.13
2026	20	ALAA	38	0	81	4.67	3.47	27.6%	6.3%	—	K 20.4% · BB 7.5% · FIP 4.78
2027PROJ	21	MLBLAA	45	0	47	4.93	4.93	16.5%	8.5%	-0.2
2028PROJ49% MLB	22	MLBLAA	36	0	38	4.76	4.69	18.2%	8.1%	-0.1
2029PROJ73% MLB	23	MLBLAA	55	0	58	4.62	4.54	19.3%	7.9%	0.0

Next 3 projected WAR -0.3Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Scouting grades · 20-80

Stuff25Control50Command35

Career WAR0 WAR median (P10 -0 / P90 0, comp-based) · star 1% · didn't stick 95%

CompsJosnier Parra (age 21) · Logan Lombana (age 21) · Reece Karalus (age 22)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 127119vR 111

ERA4.93

FIP4.93

K%16.5%

BB%8.5%

K-BB%8.0%

Proj IP47

Value2027 · WAR

Runs saved vs league avg · 47 IP

Grades · Contract

Scouting Grades

STUF2525

CTRL5050

CMD3535

K†4055

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)
2024	18	ROK MLE	DSL Angels	16	0	33	126	32	3	2	0%	2.1	17.3%	3.0%	14.3%	2.1%	1.91	3.16	—
2024	18	ROK MLE	DSL Angels	16	0	33	126	32	3	2	0%	2.1	17.3%	3.0%	14.3%	2.1%	1.91	3.16	—
2024	18	ROK RAW	DSL Angels	16	0	33	126	32	3	2	0%	2.1	25.4%	2.4%	23.0%	1.6%	1.91	2.22	—
2025	19	MIX MLE	2 levels	13	5	55	222	38	12	3	38%	4.2	12.4%	6.2%	6.2%	2.4%	2.63	4.13	—
2025	19	MIX MLE	2 levels	13	5	55	222	38	12	3	38%	4.2	12.4%	6.2%	6.2%	2.4%	2.63	4.13	—
2025	19	MIX RAW	2 levels	13	5	55	222	38	12	3	38%	4.2	17.1%	5.4%	11.7%	1.4%	2.63	3.08	—
2026	20	A MLE	Rancho Cucamonga Quakes	38	0	81	348	96	22	12	0%	2.1	20.4%	7.5%	13.0%	4.5%	4.67	4.78	—
2026	20	A MLE	Rancho Cucamonga Quakes	38	0	81	348	96	22	12	0%	2.1	20.4%	7.5%	13.0%	4.5%	4.67	4.78	—
2026	20	A RAW	Rancho Cucamonga Quakes	38	0	81	348	96	22	12	0%	2.1	27.6%	6.3%	21.3%	3.4%	4.67	3.47	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	21	MLB	LAA	45	0	47	198	33	17	6	0%	1.0	16.5%	8.5%	8.0%	3.2%	4.93	4.93	-0.2
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	22	MLB MLE	LAA	73	0	76	323	59	26	10	0%	1.0	18.2%	8.1%	10.1%	3.1%	4.76	4.69	-0.1
2029	23	MLB MLE	LAA	76	0	79	335	65	26	10	0%	1.0	19.3%	7.9%	11.4%	3.1%	4.62	4.54	+0.0
2030	24	MLB MLE	LAA	78	0	81	344	69	27	10	0%	1.0	20.1%	7.7%	12.3%	3.0%	4.51	4.44	+0.1
2031	25	MLB MLE	LAA	78	0	82	348	71	26	11	0%	1.1	20.5%	7.6%	12.9%	3.0%	4.43	4.38	+0.2
2032	26	MLB MLE	LAA	78	0	82	348	72	26	11	0%	1.1	20.7%	7.6%	13.1%	3.0%	4.39	4.36	+0.2
2033	27	MLB MLE	LAA	77	0	81	343	71	26	11	0%	1.1	20.7%	7.6%	13.0%	3.1%	4.39	4.39	+0.2
2034	28	MLB MLE	LAA	75	0	79	333	75	23	11	0%	1.1	22.6%	7.0%	15.6%	3.2%	4.28	4.21	+0.3
2035	29	MLB MLE	LAA	72	0	75	318	71	23	11	0%	1.0	22.3%	7.2%	15.1%	3.3%	4.32	4.34	+0.2
2036	30	MLB MLE	LAA	67	0	71	299	66	23	11	0%	1.1	22.0%	7.5%	14.4%	3.5%	4.44	4.52	+0.0
2028	22	MLB CTX	LAA	36	0	38	160	29	13	5	0%	1.1	18.2%	8.1%	10.1%	3.1%	4.76	4.69	-0.1
2029	23	MLB CTX	LAA	55	0	58	245	47	19	8	0%	1.1	19.3%	7.9%	11.4%	3.1%	4.62	4.54	+0.0
2030	24	MLB CTX	LAA	64	0	67	283	57	22	9	0%	1.0	20.1%	7.7%	12.3%	3.0%	4.51	4.44	+0.1
2031	25	MLB CTX	LAA	70	0	73	308	63	23	9	0%	1.0	20.5%	7.6%	12.9%	3.0%	4.43	4.38	+0.1
2032	26	MLB CTX	LAA	71	0	75	317	66	24	10	0%	1.1	20.7%	7.6%	13.1%	3.0%	4.39	4.36	+0.2
2033	27	MLB CTX	LAA	71	0	75	317	65	24	10	0%	1.1	20.7%	7.6%	13.0%	3.1%	4.39	4.39	+0.1
2034	28	MLB CTX	LAA	70	0	74	312	70	22	10	0%	1.1	22.6%	7.0%	15.6%	3.2%	4.28	4.21	+0.3
2035	29	MLB CTX	LAA	69	0	72	304	68	22	10	0%	1.0	22.3%	7.2%	15.1%	3.3%	4.32	4.34	+0.2
2036	30	MLB CTX	LAA	64	0	67	283	62	21	10	0%	1.0	22.0%	7.5%	14.4%	3.5%	4.44	4.52	+0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		570	0	599	2528	528	191	80	0%	1.1	20.9%	7.6%	13.3%	3.2%	4.44	4.03	+3.7
/ 200 IP	—	RAW		190	0	200	844	176	64	27	0%	1.1	20.9%	7.6%	13.3%	3.2%	4.44	4.03	+1.2
Career	—	MLE		67	5	169	696	120	43	23	7%	2.5	17.3%	6.2%	11.1%	3.4%	3.47	4.28	+1.0
/ 200 IP	—	MLE		79	6	200	825	143	51	28	7%	2.5	17.3%	6.2%	11.1%	3.4%	3.47	4.28	+0.3

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
Brayan Vergara (OGILVIE)	—	—	4.93	16.5%	8.5%	3.2%	—	4.55	19.2%	11.3%	237	-0.38	—	—	—
Josnier Parra R 2023 · 4.56 FIP	21	SU	4.56	15.9%	9.8%	2.9%	.319	5.01	12.1%	2.9%	118	+0.45	3.76	150	91
Logan Lombana R 2015 · 4.63 FIP	21	SU	4.63	16.9%	10.0%	3.1%	.315	4.02	15.7%	8.1%	123	-0.61	3.80	155	91
Reece Karalus R 2016 · 4.80 FIP	22	SU	4.80	18.5%	8.6%	4.0%	.298	4.81	14.8%	4.1%	103	+0.01	4.73	149	90
Frainger Aranguren R 2018 · 4.06 FIP	21	SU	4.06	14.6%	8.3%	2.1%	.305	4.81	13.1%	-1.9%	70	+0.75	3.20	234	87
Tyler Zombro R 2017 · 4.37 FIP	22	SU	4.37	14.6%	8.9%	2.5%	.295	2.67	15.7%	12.7%	134	-1.70	2.22	172	87
Matthew Gorst R 2017 · 4.13 FIP	22	SU	4.13	15.8%	7.0%	2.7%	.269	3.89	16.6%	8.0%	130	-0.24	3.20	199	87
Jake Newberry R 2016 · 3.83 FIP	21	SU	3.83	16.5%	7.2%	2.2%	.262	4.25	18.7%	9.1%	184	+0.42	3.23	410	86
Jack Carey R 2022 · 4.77 FIP	22	SU	4.77	16.8%	10.9%	3.1%	.333	4.31	19.5%	8.2%	156	-0.46	3.79	250	85
Connor Eller R 2016 · 4.35 FIP	22	SU	4.35	16.7%	7.5%	3.1%	.222	4.55	10.8%	-1.2%	136	+0.20	3.79	170	85
Robbie Welhaf R 2018 · 4.06 FIP	23	SU	4.06	14.0%	7.6%	2.1%	.309	3.11	18.1%	15.0%	90	-0.95	3.11	121	85
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	85
Osmer Morales R 2015 · 4.24 FIP	22	SU	4.24	17.8%	7.7%	3.0%	.319	4.55	19.2%	9.6%	345	+0.31	3.14	429	85
Braunny Munoz R 2022 · 4.53 FIP	21	SU	4.53	16.6%	7.6%	3.4%	.317	4.10	14.9%	8.5%	69	-0.43	3.56	307	85
Jake McCasland R 2015 · 4.78 FIP	23	SU	4.78	14.2%	9.8%	3.0%	.348	3.80	15.8%	8.2%	317	-0.98	3.07	367	85
Jaycob Deese R 2023 · 4.68 FIP	23	SU	4.68	17.4%	6.8%	4.0%	.309	4.83	13.6%	4.4%	140	+0.15	3.28	208	84
Matt Hardy R 2017 · 5.36 FIP	22	SU	5.36	13.7%	7.9%	4.4%	.339	3.70	18.2%	10.8%	129	-1.66	3.18	242	84
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	84
Listher Sosa R 2023 · 4.77 FIP	21	SU	4.77	15.7%	8.7%	3.5%	.288	3.51	19.1%	10.3%	57	-1.26	3.51	279	84
Joangel Gonzalez R 2024 · 4.23 FIP	20	SU	4.23	18.3%	11.7%	2.1%	.312	5.15	18.3%	2.5%	116	+0.92	3.93	151	84
Jake Elliott R 2016 · 3.82 FIP	21	SU	3.82	19.2%	7.1%	2.6%	.353	3.81	18.1%	10.0%	202	-0.01	2.91	354	84

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	3.8	76	20.4%	7.7%	1.22	4.49
Brett Cecil ('18)	3.8	76	20.7%	8.3%	1.14	4.29
Claude Raymond ('59-'71, 0 WAR*)	3.6	66	20.9%*	7.9%*	1.34*	4.45*
Anthony Swarzak ('21)	3.3	73	17.8%	7.3%	1.20	4.42
Randy Moffitt ('72-'83, 4 WAR*)	3.9	78	19.4%*	8.3%*	1.08*	4.19*
Ron Taylor ('62-'72, 3 WAR*)	4.0	80	17.8%*	6.8%*	1.26*	4.74*
Mike Trombley ('02)	4.0	80	19.4%	9.2%	1.29	4.48