Emilio Jiménez

P DSL Cardinals

Age 18 LHP ROK

Overview

ROKPROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2026	17	ROKSTL	11	6	28	9.21	5.15	22.2%	22.2%	—	K 15.1% · BB 27.8% · FIP 6.41
2027PROJ	18	MLBSTL	4	4	17	5.92	5.92	20.4%	20.0%	-0.2
2028PROJ49% MLB	19	MLBSTL	3	3	13	5.56	5.42	21.1%	16.8%	-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%

CompsBrayan Mendoza (age 18) · Yordan Nodal (age 17) · Gabriel Agostini (age 18)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 129137vR 146

ERA5.92

FIP5.92

K%20.4%

BB%20.0%

K-BB%0.4%

Proj IP17

Value2027 · WAR

Runs saved vs league avg · 17 IP

Grades · Contract

Scouting Grades

K†5050

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	17	ROK MLE	DSL Cardinals	11	6	28	144	32	32	2	55%	2.6	15.1%	27.8%	-12.7%	1.9%	9.21	6.41	—
2026	17	ROK MLE	DSL Cardinals	11	6	28	144	32	32	2	55%	2.6	15.1%	27.8%	-12.7%	1.9%	9.21	6.41	—
2026	17	ROK RAW	DSL Cardinals	11	6	28	144	32	32	2	55%	2.6	22.2%	22.2%	0.0%	1.4%	9.21	5.15	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	18	MLB	STL	4	4	17	72	15	14	2	100%	4.2	20.4%	20.0%	0.4%	3.0%	5.92	5.92	-0.2
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	19	MLB MLE	STL	6	6	27	113	24	19	3	100%	4.5	21.1%	16.8%	4.3%	2.9%	5.56	5.42	-0.2
2028	19	MLB CTX	STL	3	3	13	55	12	9	2	100%	4.3	21.1%	16.8%	4.3%	2.9%	5.56	5.42	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		3	3	13	56	12	9	2	100%	4.4	21.1%	16.8%	4.3%	2.9%	5.56	5.04	-0.0
/ 200 IP	—	RAW		42	42	200	844	182	137	30	100%	4.7	21.1%	16.8%	4.3%	2.9%	5.56	5.04	-0.3
Career	—	MLE		11	6	28	144	22	40	3	55%	2.6	15.1%	27.8%	-12.7%	1.9%	9.21	6.41	-0.2
/ 200 IP	—	MLE		78	42	200	1016	154	282	20	55%	2.6	15.1%	27.8%	-12.7%	1.9%	9.21	6.41	-1.2

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
Emilio Jiménez (OGILVIE)	—	—	5.92	20.4%	20.0%	3.0%	—	5.42	21.1%	4.3%	27	-0.50	—	—	—
Brayan Mendoza L 2022 · 5.29 FIP	18	SP-	5.29	17.9%	15.0%	3.3%	.273	3.89	17.1%	6.3%	221	-1.40	3.59	398	84
Yordan Nodal L 2019 · 5.24 FIP	17	SW	5.24	15.8%	20.7%	1.6%	.280	4.97	16.5%	1.3%	77	-0.27	4.94	193	80
Gabriel Agostini L 2022 · 4.84 FIP	18	SP-	4.84	14.6%	15.0%	1.9%	.311	5.24	12.7%	-2.7%	55	+0.40	1.97	122	78
Dominic Scheffler L 2024 · 5.54 FIP	20	SP-	5.54	19.7%	28.4%	0.9%	.348	5.19	16.1%	-4.1%	82	-0.35	4.59	110	78
Spencer Giesting L 2022 · 5.80 FIP	21	SP-	5.80	20.8%	16.6%	4.3%	.290	4.30	19.0%	8.0%	394	-1.50	3.58	460	77
Miguel Gutierrez L 2015 · 5.58 FIP	20	SP-	5.58	14.3%	21.8%	1.7%	.240	4.24	14.9%	-4.1%	64	-1.34	3.91	103	74
Yeury Gervacio L 2018 · 4.88 FIP	19	SW	4.88	13.9%	13.8%	2.2%	.376	4.70	17.8%	4.2%	65	-0.18	4.10	184	73
Joseph Herrera L 2024 · 5.50 FIP	18	SW	5.50	13.0%	20.5%	1.6%	.325	5.55	13.6%	-4.1%	67	+0.05	4.67	105	73
Jeremy Pilon L 2024 · 4.86 FIP	18	SP-	4.86	22.1%	21.7%	1.6%	.279	4.10	17.9%	-1.9%	83	-0.76	3.99	144	73
Junior Tavera L 2024 · 6.14 FIP	17	SP-	6.14	18.0%	31.6%	1.0%	.385	5.41	16.6%	-2.3%	85	-0.73	5.12	101	73
Derek Corro L 2023 · 6.42 FIP	18	SP-	6.42	14.4%	26.5%	2.1%	.432	5.20	15.9%	-3.8%	67	-1.22	4.54	128	73
Wilker Reyes L 2019 · 4.90 FIP	17	SW	4.90	13.6%	15.9%	1.7%	.284	4.07	15.7%	5.0%	63	-0.83	3.76	237	72
Liam Sullivan L 2023 · 5.78 FIP	21	SP	5.78	25.7%	20.5%	4.1%	.290	5.79	20.9%	7.2%	141	+0.01	4.45	156	70
Luis Bellorin L 2016 · 5.01 FIP	18	SP-	5.01	12.4%	16.2%	1.7%	.330	3.28	14.2%	3.3%	37	-1.73	3.28	109	70
McKenzie Mills L 2015 · 7.06 FIP	19	SP-	7.06	9.8%	21.4%	3.8%	.288	4.17	18.2%	11.0%	227	-2.89	4.12	334	69
Reinold Navarro L 2024 · 4.92 FIP	17	SP	4.92	21.7%	22.6%	1.4%	.211	4.32	29.4%	5.7%	95	-0.60	3.55	119	69
Eduardo Solano L 2015 · 6.15 FIP	18	SP-	6.15	10.5%	25.0%	1.4%	.307	4.93	15.0%	-7.4%	61	-1.22	4.34	100	69
Dylan MacLean L 2021 · 6.38 FIP	19	SP	6.38	13.6%	27.9%	1.6%	.271	4.11	15.7%	5.3%	101	-2.27	3.45	282	68
Roberth Fernandez L 2015 · 5.66 FIP	20	SW	5.66	11.4%	16.2%	2.7%	.356	4.92	14.7%	6.3%	60	-0.74	4.92	103	68
Jorge Benitez L 2017 · 5.15 FIP	18	SP-	5.15	13.1%	20.0%	1.1%	.338	4.50	12.3%	0.5%	53	-0.65	3.30	314	68