Jose Cabrera

P Ontario Tower Buzzers

Age 22 RHP 6'4" / 195 lbs A

Overview

APROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	19	ROKDSL LAD Bauti…	20	26	5.26	4.46	24.2%	18.5%	—	K 16.5% · BB 23.2% · FIP 5.82
2025	20	MIX2 levels	30	34	5.50	3.25	28.4%	11.6%	—	K 20.0% · BB 14.0% · FIP 4.48
2026	21	MIX2 levels	17	17	19.44	6.46	29.7%	29.7%	—	K 19.5% · BB 38.8% · FIP 8.25
2027PROJ	22	MLBLAD	43	45	5.91	5.91	20.7%	20.0%	-0.7
2028PROJ49% MLB	23	MLBLAD	22	23	5.55	5.41	21.7%	16.9%	-0.2
2029PROJ70% MLB	24	MLBLAD	31	33	5.23	5.07	22.4%	14.8%	-0.2

Next 3 projected WAR -1.1Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Scouting grades · 20-80

Stuff50Command45FB velo55

Career WAR0 WAR median (P10 0 / P90 0, comp-based) · star 0% · didn't stick 97%

CompsHudson Leach (age 22) · Franklyn German (age 23) · Christian Ruebeck (age 23)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 145137vR 129

ERA5.91

FIP5.91

K%20.7%

BB%20.0%

K-BB%0.7%

Proj IP45

Value2027 · WAR

Runs saved vs league avg · 45 IP

Grades · Contract

Scouting Grades

STUF4550

CMD4045

K†5055

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	19	ROK MLE	DSL LAD Bautista	20	0	26	124	30	23	2	0%	1.3	16.5%	23.2%	-6.7%	2.1%	5.26	5.82	—
2024	19	ROK MLE	DSL LAD Bautista	20	0	26	124	30	23	2	0%	1.3	16.5%	23.2%	-6.7%	2.1%	5.26	5.82	—
2024	19	ROK RAW	DSL LAD Bautista	20	0	26	124	30	23	2	0%	1.3	24.2%	18.5%	5.6%	1.6%	5.26	4.46	—
2025	20	MIX MLE	2 levels	30	0	34	155	44	18	3	0%	1.1	20.0%	14.0%	5.9%	2.4%	5.50	4.48	—
2025	20	MIX MLE	2 levels	30	0	34	155	44	18	3	0%	1.1	20.0%	14.0%	5.9%	2.4%	5.50	4.48	—
2025	20	MIX RAW	2 levels	30	0	34	155	44	18	3	0%	1.1	28.4%	11.6%	16.8%	1.9%	5.50	3.25	—
2026	21	MIX MLE	2 levels	17	0	17	101	30	30	2	0%	1.0	19.5%	38.8%	-19.3%	3.4%	19.44	8.25	—
2026	21	MIX MLE	2 levels	17	0	17	101	30	30	2	0%	1.0	19.5%	38.8%	-19.3%	3.4%	19.44	8.25	—
2026	21	MIX RAW	2 levels	17	0	17	101	30	30	2	0%	1.0	29.7%	29.7%	0.0%	2.0%	19.44	6.46	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	22	MLB	LAD	43	0	45	190	39	38	6	0%	1.0	20.7%	20.0%	0.7%	3.0%	5.91	5.91	-0.7
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	23	MLB MLE	LAD	44	0	46	195	42	33	6	0%	1.1	21.7%	16.9%	4.9%	3.0%	5.55	5.41	-0.4
2029	24	MLB MLE	LAD	45	0	48	201	45	30	6	0%	1.1	22.4%	14.8%	7.6%	2.9%	5.23	5.07	-0.3
2028	23	MLB CTX	LAD	22	0	23	97	21	16	3	0%	1.0	21.7%	16.9%	4.9%	3.0%	5.55	5.41	-0.2
2029	24	MLB CTX	LAD	31	0	33	139	31	21	4	0%	1.1	22.4%	14.8%	7.6%	2.9%	5.23	5.07	-0.2
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		53	0	56	236	52	37	7	0%	1.1	22.1%	15.6%	6.5%	2.9%	5.36	4.83	-0.2
/ 200 IP	—	RAW		190	0	200	844	186	132	25	0%	1.1	22.1%	15.6%	6.5%	2.9%	5.36	4.83	-0.7
Career	—	MLE		67	0	77	380	71	90	10	0%	1.1	18.7%	23.6%	-4.9%	2.6%	8.45	5.92	-0.8
/ 200 IP	—	MLE		175	0	200	991	185	234	25	0%	1.1	18.7%	23.6%	-4.9%	2.6%	8.45	5.92	-1.6

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
Jose Cabrera (OGILVIE)	—	—	5.91	20.7%	20.0%	3.0%	—	5.24	22.1%	6.2%	94	-0.67	—	—	—
Hudson Leach R 2024 · 5.37 FIP	22	SU	5.37	20.5%	20.0%	2.7%	.261	4.54	20.9%	3.1%	71	-0.83	2.77	101	92
Franklyn German R 2003 · 5.17 FIP	23	SU	5.17	18.5%	18.9%	2.2%	.313	5.27	13.1%	0.1%	86	+0.10	3.37	152	91
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	90
James Acuna R 2021 · 5.12 FIP	23	SU	5.12	21.3%	17.0%	3.0%	.302	4.33	19.4%	4.6%	60	-0.79	4.33	107	90
Jonathan Teaney R 2018 · 4.77 FIP	22	SU	4.77	22.5%	19.8%	1.9%	.328	5.65	16.4%	0.7%	55	+0.88	4.77	108	89
Roberto Espinosa R 2015 · 4.92 FIP	23	SU	4.92	18.9%	18.6%	1.9%	.273	4.43	14.8%	2.2%	77	-0.49	4.32	117	89
Marcus Crescentini R 2015 · 5.80 FIP	22	SU	5.80	21.8%	21.9%	3.2%	.365	3.95	23.3%	11.6%	123	-1.85	2.74	150	88
Will Varmette R 2024 · 5.06 FIP	21	SU	5.06	22.8%	19.3%	2.6%	.302	5.13	16.1%	2.3%	135	+0.07	4.69	182	88
Matt Brill R 2018 · 4.90 FIP	23	SU	4.90	20.8%	16.3%	2.7%	.248	3.89	19.4%	4.9%	60	-1.01	3.73	161	88
Saul Teran R 2024 · 5.21 FIP	22	SU	5.21	22.4%	18.8%	2.9%	.279	4.40	20.1%	10.7%	84	-0.81	2.28	166	88
Michael Perez R 2024 · 5.44 FIP	21	SU	5.44	18.3%	16.1%	3.4%	.296	4.65	23.4%	7.7%	132	-0.79	4.38	153	87
Zane Russell R 2024 · 4.95 FIP	24	SU	4.95	22.7%	18.3%	2.6%	.314	5.36	18.2%	6.7%	71	+0.41	4.63	108	87
Carlos Contreras R 2014 · 4.77 FIP	23	SU	4.77	20.2%	18.1%	2.0%	.304	4.35	18.4%	5.0%	107	-0.42	4.29	127	87
Andrew Schultz R 2019 · 5.25 FIP	22	SU	5.25	20.9%	17.8%	3.0%	.345	4.59	23.0%	4.7%	45	-0.66	3.56	176	86
Morgan McSweeney R 2021 · 5.36 FIP	23	SU	5.36	21.9%	16.3%	3.7%	.295	5.15	18.5%	5.3%	93	-0.21	3.20	213	86
Jackson Rose R 2018 · 5.32 FIP	22	SU	5.32	17.3%	17.2%	2.8%	.267	4.77	23.5%	16.5%	56	-0.55	3.33	147	86
Miguel Alfonseca R 2022 · 4.78 FIP	22	SU	4.78	20.1%	16.4%	2.4%	.354	5.73	11.6%	-3.8%	56	+0.95	4.19	123	85
Connor Walsh R 2015 · 4.76 FIP	22	SU	4.76	23.3%	20.7%	1.8%	.288	3.98	21.3%	6.8%	151	-0.78	3.36	266	85
Angel German R 2018 · 5.26 FIP	22	SU	5.26	19.0%	16.3%	3.1%	.324	6.58	17.8%	2.7%	52	+1.32	3.33	200	85
Danny Dopico R 2016 · 5.58 FIP	22	SU	5.58	18.3%	22.6%	2.1%	.309	3.19	23.9%	11.2%	189	-2.39	3.00	318	85

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	0.7	46	21.6%	17.2%	1.15	5.56
Brian Bruney ('12)	1.3	43	21.2%	15.8%	0.94	4.68
Doug Creek ('05)	1.4	58	22.2%	15.1%	1.52	5.32
Armando Almanza ('05)	1.1	54	24.4%	14.3%	1.43	4.82
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*
Ed Glynn ('75-'85, -0 WAR*)	1.3	53	23.5%*	12.9%*	1.22*	4.69*