Ismael Cabral

P FCL Rays

Age 23 RHP 6'1" / 194 lbs ROK

Overview

ROKPROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2025	21	ROKTB	12	8	47	4.79	4.08	17.1%	12.4%	—	K 11.6% · BB 15.6% · FIP 5.13
2026	22	ROKTB	12	0	19	1.86	2.74	26.3%	14.5%	—	K 17.9% · BB 18.1% · FIP 3.88
2027PROJ	23	MLBTB	50	0	52	6.36	6.36	13.0%	18.9%	-1.0
2028PROJ43% MLB	24	MLBTB	22	0	23	6.00	5.89	15.3%	16.8%	-0.3
2029PROJ66% MLB	25	MLBTB	34	0	36	5.72	5.61	16.6%	15.5%	-0.4

Next 3 projected WAR -1.7Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Scouting grades · 20-80

Stuff25Control30Command20

Career WAR0 WAR median (P10 0 / P90 0, comp-based) · star 0% · didn't stick 100%

CompsGarrett Apker (age 23) · Ted Stuka (age 24) · Jon Keller (age 23)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 154146vR 138

ERA6.36

FIP6.36

K%13.0%

BB%18.9%

K-BB%-5.9%

Proj IP52

Value2027 · WAR

Runs saved vs league avg · 52 IP

Grades · Contract

Scouting Grades

STUF2525

CTRL3030

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)
2023	19	ROK MLE	DSL Rays	13	0	24	111	15	17	1	0%	1.8	9.2%	19.1%	-10.0%	1.3%	4.94	5.49	—
2023	19	ROK RAW	DSL Rays	13	0	24	111	15	17	1	0%	1.8	13.5%	15.3%	-1.8%	0.9%	4.94	4.54	—
2024	20	ROK MLE	DSL Tampa Bay	12	11	42	190	28	21	1	92%	3.5	10.0%	13.8%	-3.8%	0.8%	3.21	4.42	—
2024	20	ROK MLE	DSL Tampa Bay	12	11	42	190	28	21	1	92%	3.5	10.0%	13.8%	-3.8%	0.8%	3.21	4.42	—
2024	20	ROK RAW	DSL Tampa Bay	12	11	42	190	28	21	1	92%	3.5	14.7%	11.1%	3.7%	0.5%	3.21	3.58	—
2025	21	ROK MLE	DSL Rays	12	8	47	217	37	27	3	67%	3.9	11.6%	15.6%	-4.0%	1.9%	4.79	5.13	—
2025	21	ROK MLE	DSL Rays	12	8	47	217	37	27	3	67%	3.9	11.6%	15.6%	-4.0%	1.9%	4.79	5.13	—
2025	21	ROK RAW	DSL Rays	12	8	47	217	37	27	3	67%	3.9	17.1%	12.4%	4.6%	1.4%	4.79	4.08	—
2026	22	ROK MLE	FCL Rays	12	0	19	76	20	11	0	0%	1.6	17.9%	18.1%	-0.2%	0.0%	1.86	3.88	—
2026	22	ROK MLE	FCL Rays	12	0	19	76	20	11	0	0%	1.6	17.9%	18.1%	-0.2%	0.0%	1.86	3.88	—
2026	22	ROK RAW	FCL Rays	12	0	19	76	20	11	0	0%	1.6	26.3%	14.5%	11.8%	0.0%	1.86	2.74	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	23	MLB	TB	50	0	52	220	28	41	6	0%	1.0	13.0%	18.9%	-5.9%	2.9%	6.36	6.36	-1.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	24	MLB MLE	TB	51	0	54	227	35	38	7	0%	1.1	15.3%	16.8%	-1.5%	2.9%	6.00	5.89	-0.8
2029	25	MLB MLE	TB	52	0	54	230	38	36	7	0%	1.0	16.6%	15.5%	1.1%	2.9%	5.72	5.61	-0.6
2028	24	MLB CTX	TB	22	0	23	97	15	16	3	0%	1.0	15.3%	16.8%	-1.5%	2.9%	6.00	5.89	-0.3
2029	25	MLB CTX	TB	34	0	36	152	25	24	4	0%	1.1	16.6%	15.5%	1.1%	2.9%	5.72	5.61	-0.4
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		56	0	59	249	40	40	7	0%	1.1	16.1%	16.0%	0.1%	2.9%	5.83	5.34	-0.5
/ 200 IP	—	RAW		190	0	200	844	136	136	24	0%	1.1	16.1%	16.0%	0.1%	2.9%	5.83	5.34	-1.8
Career	—	MLE		49	19	132	594	68	95	7	39%	2.7	11.4%	16.0%	-4.5%	1.2%	3.89	4.81	-1.5
/ 200 IP	—	MLE		74	29	200	900	103	144	11	39%	2.7	11.4%	16.0%	-4.5%	1.2%	3.89	4.81	-2.7

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
Ismael Cabral (OGILVIE)	—	—	6.36	13.0%	18.9%	2.9%	—	5.75	16.0%	-0.2%	108	-0.61	—	—	—
Garrett Apker R 2023 · 6.24 FIP	23	SW	6.24	15.0%	18.8%	3.7%	.343	4.93	18.9%	5.2%	53	-1.31	4.01	101	88
Ted Stuka R 2021 · 5.72 FIP	24	SW	5.72	12.4%	23.4%	1.3%	.262	6.22	15.9%	-13.1%	41	+0.50	5.36	105	85
Jon Keller R 2016 · 5.48 FIP	23	SW	5.48	15.3%	20.9%	1.9%	.265	3.84	8.9%	-2.9%	15	-1.64	3.64	156	83
Johan Moreno R 2024 · 6.25 FIP	21	SW	6.25	13.2%	16.7%	3.9%	.325	4.36	20.7%	8.0%	115	-1.89	3.09	216	83
Wirkin Estevez R 2016 · 5.39 FIP	24	SW	5.39	10.7%	13.4%	2.7%	.316	4.46	12.3%	3.5%	179	-0.93	4.37	238	81
Drew Conover R 2024 · 6.25 FIP	23	SW	6.25	15.6%	29.8%	1.3%	.272	5.19	12.6%	-3.4%	106	-1.06	4.49	145	81
Blake Quinn R 2017 · 5.41 FIP	23	SW	5.41	16.9%	15.3%	3.3%	.328	4.42	17.1%	3.3%	48	-0.99	4.42	122	80
Carlos Polanco R 2017 · 5.71 FIP	23	SU	5.71	13.9%	20.0%	2.3%	.267	—	—	—	—	—	3.70	276	80
Pedro Garcia R 2018 · 6.06 FIP	23	SW	6.06	12.6%	24.0%	1.8%	.242	—	—	—	—	—	3.35	144	80
Tom Reisinger R 2024 · 5.44 FIP	23	SW	5.44	12.1%	14.6%	2.8%	.381	6.49	10.3%	-5.6%	47	+1.05	5.44	110	79
Seth McClung R 2003 · 5.63 FIP	22	SW	5.63	15.0%	14.4%	3.6%	.241	5.29	15.3%	2.8%	212	-0.34	2.52	430	78
Cole Percival R 2022 · 5.21 FIP	23	SU	5.21	15.4%	14.5%	2.9%	.297	4.27	17.9%	5.9%	182	-0.94	3.58	327	78
Austin Amaral R 2024 · 5.94 FIP	22	SU	5.94	12.1%	14.4%	3.7%	.254	3.55	18.6%	6.3%	113	-2.39	3.53	136	77
Jordan Brink R 2016 · 5.96 FIP	23	SW	5.96	18.3%	19.2%	3.6%	.233	—	—	—	—	—	3.99	132	76
Orlando Gonzalez R 2024 · 6.34 FIP	21	SP-	6.34	13.8%	18.8%	3.7%	.155	4.18	18.9%	4.9%	71	-2.16	3.83	114	75
Ruben Castillo R 2024 · 5.40 FIP	23	SW	5.40	15.0%	15.5%	2.9%	.350	—	—	—	—	—	2.33	140	75
Justin Militello R 2024 · 5.52 FIP	20	SW	5.52	9.6%	19.9%	1.3%	.376	5.17	15.9%	-3.1%	82	-0.35	4.92	114	75
Frankie De La Cruz R 2008 · 7.16 FIP	24	SW	7.16	7.5%	20.8%	3.8%	.361	2.87	16.4%	7.3%	13	-4.29	2.87	262	75
Cooper Adams R 2024 · 5.42 FIP	24	SW	5.42	13.0%	12.2%	3.4%	.275	4.32	21.7%	10.4%	141	-1.10	3.05	221	75
Hansel Rosario R 2024 · 5.54 FIP	21	SW	5.54	19.2%	22.2%	2.3%	.306	7.16	16.3%	-21.0%	19	+1.62	5.25	107	74

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	0.8	54	15.0%	17.0%	1.11	6.02
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
Doug Bochtler ('00)	1.3	65	18.6%	14.4%	1.25	4.57
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*
Gene Harris ('89-'95, -1 WAR*)	1.2	40	20.0%*	12.5%*	0.98*	4.96*