Jhon Cabrera

P DSL Cardinals

Age 19 RHP ROK

Overview

ROKPROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2026	18	ROKSTL	11	18	7.85	5.23	9.6%	20.2%	—	K 6.5% · BB 25.3% · FIP 5.75
2027PROJ	19	MLBSTL	10	11	6.01	6.01	18.8%	19.9%	-0.2
2028PROJ49% MLB	20	MLBSTL	10	10	5.63	5.49	20.0%	16.7%	-0.1

Next 2 projected WAR -0.3Projected 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%

CompsJonathan Jimenez (age 19) · Elison Joseph (age 20) · Carlos De Los Santos (age 18)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 147139vR 131

ERA6.01

FIP6.01

K%18.8%

BB%19.9%

K-BB%-1.1%

Proj IP11

Value2027 · WAR

Runs saved vs league avg · 11 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)
2026	18	ROK MLE	DSL Cardinals	11	0	18	94	9	19	0	0%	1.7	6.5%	25.3%	-18.8%	0.0%	7.85	5.75	—
2026	18	ROK MLE	DSL Cardinals	11	0	18	94	9	19	0	0%	1.7	6.5%	25.3%	-18.8%	0.0%	7.85	5.75	—
2026	18	ROK RAW	DSL Cardinals	11	0	18	94	9	19	0	0%	1.7	9.6%	20.2%	-10.6%	0.0%	7.85	5.23	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	19	MLB	STL	10	0	11	46	9	9	1	0%	1.1	18.8%	19.9%	-1.1%	2.9%	6.01	6.01	-0.2
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	20	MLB MLE	STL	19	0	20	84	17	14	2	0%	1.1	20.0%	16.7%	3.2%	2.9%	5.63	5.49	-0.2
2028	20	MLB CTX	STL	10	0	10	42	8	7	1	0%	1.0	20.0%	16.7%	3.2%	2.9%	5.63	5.49	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		9	0	10	42	8	7	1	0%	1.1	20.0%	16.7%	3.2%	2.9%	5.63	5.11	-0.1
/ 200 IP	—	RAW		190	0	200	844	163	142	20	0%	1.1	20.0%	16.7%	3.2%	2.9%	5.63	5.11	-1.3
Career	—	MLE		11	0	18	94	6	24	0	0%	1.7	6.5%	25.3%	-18.8%	0.0%	7.85	5.75	-0.2
/ 200 IP	—	MLE		120	0	200	1025	67	259	0	0%	1.7	6.5%	25.3%	-18.8%	0.0%	7.85	5.75	-2.2

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
Jhon Cabrera (OGILVIE)	—	—	6.01	18.8%	19.9%	2.9%	—	5.49	20.0%	3.2%	20	-0.52	—	—	—
Jonathan Jimenez R 2023 · 5.41 FIP	19	SU	5.41	16.4%	16.2%	3.0%	.333	5.09	14.1%	2.2%	178	-0.32	3.49	189	90
Elison Joseph R 2021 · 5.31 FIP	20	SU	5.31	17.4%	19.2%	2.3%	.254	4.55	23.5%	6.8%	133	-0.76	3.32	217	89
Carlos De Los Santos R 2019 · 5.68 FIP	18	SU	5.68	16.9%	16.0%	3.6%	.286	3.95	20.9%	3.2%	86	-1.73	3.67	173	88
Brendan Hardy R 2018 · 5.18 FIP	18	SU	5.18	17.0%	19.7%	1.8%	.227	6.99	15.9%	-17.2%	25	+1.81	2.54	137	86
Daniel Lloyd R 2021 · 5.40 FIP	20	SU	5.40	20.4%	22.4%	2.2%	.367	4.15	18.0%	8.5%	226	-1.25	3.59	319	86
Alejandro Lugo R 2021 · 4.91 FIP	18	SU	4.91	20.4%	16.7%	2.6%	.265	4.96	16.7%	3.1%	98	+0.05	3.77	159	85
Juan Arnaud R 2022 · 6.33 FIP	19	SU	6.33	14.6%	23.7%	2.7%	.330	4.40	18.8%	1.6%	102	-1.93	3.43	184	85
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	85
Enrique Saldana R 2018 · 6.54 FIP	19	SU	6.54	15.4%	25.9%	2.6%	.310	3.85	14.6%	6.3%	80	-2.69	2.96	109	84
Angel Reyes R 2018 · 4.91 FIP	20	SU	4.91	16.5%	19.4%	1.4%	.328	4.51	17.1%	5.7%	119	-0.40	3.99	308	84
Jose G. Gonzalez R 2021 · 5.42 FIP	19	SU	5.42	16.2%	22.7%	1.5%	.320	4.81	15.6%	0.6%	94	-0.61	3.63	165	84
Luis Ramirez R 2022 · 4.92 FIP	20	SU	4.92	14.0%	16.5%	1.7%	.273	5.05	15.6%	-1.9%	68	+0.13	3.72	123	83
Michael Arias R 2021 · 5.06 FIP	19	SU	5.06	15.0%	17.5%	1.8%	.226	4.39	22.3%	4.7%	155	-0.67	3.79	253	83
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	83
Adrian Rodriguez R 2021 · 6.92 FIP	20	SU	6.92	23.1%	34.0%	2.7%	.368	5.46	23.1%	-1.6%	93	-1.46	2.43	148	83
Conor Grady R 2021 · 5.28 FIP	22	SU	5.28	17.2%	19.0%	2.2%	.242	4.62	16.9%	5.1%	96	-0.66	4.62	108	83
Wilber Perez R 2017 · 4.85 FIP	19	SU	4.85	14.9%	15.4%	1.9%	.362	4.14	18.7%	4.8%	140	-0.71	3.02	265	82
Keith Rogalla R 2017 · 4.87 FIP	21	SU	4.87	15.9%	19.1%	1.3%	.299	3.52	21.2%	9.5%	24	-1.35	3.10	113	82
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	82
Rafael Mendez R 2022 · 4.95 FIP	19	SU	4.95	14.3%	16.0%	1.9%	.337	3.92	20.1%	4.3%	45	-1.03	3.76	103	82