Brayan Cabello

P DSL Giants Black

Age 23 RHP 6'0" / 155 lbs ROK

Overview

ROKPROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2025	21	ROKDSL Giants Or…	16	28	3.81	3.59	15.3%	6.8%	—	K 10.4% · BB 8.5% · FIP 4.65
2026	22	ROKDSL Giants Bl…	19	36	1.24	2.99	18.6%	11.4%	—	K 12.6% · BB 14.3% · FIP 3.84
2027PROJ	23	MLBSF	19	20	5.04	5.04	18.2%	11.9%	-0.1
2028PROJ43% MLB	24	MLBSF	13	14	4.85	4.77	19.7%	10.9%	-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 0% · didn't stick 100%

CompsJunior Rincon (age 23) · Jayson McKinley (age 23) · Sean Isaac (age 23)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 129121vR 113

ERA5.04

FIP5.04

K%18.2%

BB%11.9%

K-BB%6.3%

Proj IP20

Value2027 · WAR

Runs saved vs league avg · 20 IP

Grades · Contract

Scouting Grades

K†4545

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	18	ROK MLE	DSL Giants Black	17	0	25	118	23	16	1	0%	1.5	13.3%	16.9%	-3.7%	1.1%	3.65	4.73	—
2022	18	ROK RAW	DSL Giants Black	17	0	25	118	23	16	1	0%	1.5	19.5%	13.6%	5.9%	0.8%	3.65	3.71	—
2023	19	ROK MLE	DSL Giants Black	13	7	33	152	38	12	2	54%	2.5	17.0%	9.9%	7.1%	1.6%	6.27	3.82	—
2023	19	ROK RAW	DSL Giants Black	13	7	33	152	38	12	2	54%	2.5	25.0%	7.9%	17.1%	1.3%	6.27	2.68	—
2024	20	ROK MLE	DSL Giants Orange	17	0	30	131	31	13	3	0%	1.8	16.1%	12.4%	3.7%	3.5%	4.80	5.24	—
2024	20	ROK MLE	DSL Giants Orange	17	0	30	131	31	13	3	0%	1.8	16.1%	12.4%	3.7%	3.5%	4.80	5.24	—
2024	20	ROK RAW	DSL Giants Orange	17	0	30	131	31	13	3	0%	1.8	23.7%	9.9%	13.7%	2.3%	4.80	3.63	—
2025	21	ROK MLE	DSL Giants Orange	16	0	28	118	18	8	2	0%	1.8	10.4%	8.5%	1.9%	2.5%	3.81	4.65	—
2025	21	ROK MLE	DSL Giants Orange	16	0	28	118	18	8	2	0%	1.8	10.4%	8.5%	1.9%	2.5%	3.81	4.65	—
2025	21	ROK RAW	DSL Giants Orange	16	0	28	118	18	8	2	0%	1.8	15.3%	6.8%	8.5%	1.7%	3.81	3.59	—
2026	22	ROK MLE	DSL Giants Black	19	0	36	140	26	16	0	0%	1.9	12.6%	14.3%	-1.7%	0.0%	1.24	3.84	—
2026	22	ROK MLE	DSL Giants Black	19	0	36	140	26	16	0	0%	1.9	12.6%	14.3%	-1.7%	0.0%	1.24	3.84	—
2026	22	ROK RAW	DSL Giants Black	19	0	36	140	26	16	0	0%	1.9	18.6%	11.4%	7.1%	0.0%	1.24	2.99	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	23	MLB	SF	19	0	20	84	15	10	2	0%	1.1	18.2%	11.9%	6.3%	2.9%	5.04	5.04	-0.1
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	24	MLB MLE	SF	32	0	34	141	28	15	4	0%	1.0	19.7%	10.9%	8.8%	2.9%	4.85	4.77	-0.1
2028	24	MLB CTX	SF	13	0	14	59	12	6	2	0%	1.1	19.7%	10.9%	8.8%	2.9%	4.85	4.77	-0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		14	0	14	60	12	7	2	0%	1.0	19.7%	10.9%	8.8%	2.9%	4.85	4.39	+0.0
/ 200 IP	—	RAW		190	0	200	844	168	98	28	0%	1.1	19.7%	10.9%	8.8%	2.9%	4.85	4.39	+0.4
Career	—	MLE		82	7	152	659	92	81	11	9%	1.9	14.0%	12.3%	1.7%	1.7%	3.90	4.42	-0.1
/ 200 IP	—	MLE		108	9	200	865	121	107	15	9%	1.9	14.0%	12.3%	1.7%	1.7%	3.90	4.42	-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
Brayan Cabello (OGILVIE)	—	—	5.04	18.2%	11.9%	2.9%	—	4.77	19.7%	8.8%	34	-0.27	—	—	—
Junior Rincon R 2015 · 4.93 FIP	23	SU	4.93	17.8%	13.8%	2.9%	.318	3.75	17.6%	5.1%	82	-1.18	3.52	113	91
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
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	90
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	89
Julio Mateo R 2002 · 4.54 FIP	24	SU	4.54	16.0%	12.8%	2.1%	.277	4.23	17.5%	13.8%	232	-0.31	3.42	318	88
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	88
Randy Messenger R 2005 · 4.90 FIP	23	SU	4.90	16.3%	12.9%	2.8%	.281	3.93	13.8%	7.1%	137	-0.97	3.56	174	87
Easton Sikorski R 2023 · 4.85 FIP	23	SU	4.85	20.9%	14.1%	3.1%	.254	4.62	17.5%	6.3%	154	-0.23	4.23	183	87
Kasey Ford R 2021 · 4.89 FIP	23	SU	4.89	20.3%	14.5%	3.0%	.310	4.26	21.9%	5.8%	98	-0.63	2.53	114	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	87
Miles Mikolas R 2012 · 4.56 FIP	23	SU	4.56	16.0%	10.4%	2.7%	.275	4.29	14.9%	8.6%	57	-0.27	3.13	1,386	87
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	87
Kieran Lovegrove R 2017 · 4.92 FIP	23	SU	4.92	17.9%	12.6%	3.2%	.273	4.46	19.3%	4.5%	76	-0.46	3.79	215	86
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	86
Luis Eusebio R 2019 · 4.92 FIP	23	SU	4.92	18.2%	10.6%	3.7%	.295	—	—	—	—	—	4.79	131	86
Michael Hobbs R 2022 · 4.54 FIP	23	SU	4.54	17.3%	12.9%	2.3%	.232	4.48	20.1%	3.9%	158	-0.06	4.14	184	86
Luke Stofel R 2024 · 4.26 FIP	22	SU	4.26	17.6%	12.4%	2.0%	.328	4.42	14.0%	1.8%	147	+0.16	4.26	188	86
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	86
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	86
Zack Hess R 2019 · 5.00 FIP	22	SU	5.00	18.1%	13.1%	3.2%	.232	5.47	22.9%	6.3%	50	+0.47	5.00	101	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	0.3	27	19.2%	11.3%	1.11	4.92
Pedro Borbón ('03)	1.4	45	18.5%	11.1%	1.10	4.68
Bill Wilson ('69-'73, -0 WAR*)	1.3	52	20.3%*	11.5%*	1.13*	4.84*
Gene Harris ('89-'95, -1 WAR*)	1.2	40	20.0%*	12.5%*	0.98*	4.96*
Fred Lasher ('63-'71, -1 WAR*)	1.0	50	21.5%*	11.9%*	1.05*	4.68*
Valerio De Los Santos ('08)	1.3	51	18.7%	11.5%	1.30	4.57
Sam Long ('25)	1.1	42	19.5%	9.7%	1.28	4.65