Yolcar Garcia

P DSL Twins

Age 19 RHP ROK

Overview

ROKPROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2026	18	ROKMIN	11	5	29	7.45	3.55	20.3%	10.2%	—	K 13.8% · BB 12.7% · FIP 4.74
2027PROJ	19	MLBMIN	16	0	17	4.90	4.90	20.2%	11.8%	-0.1
2028PROJ49% MLB	20	MLBMIN	12	0	13	4.74	4.67	21.0%	10.8%	-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 98%

CompsLuis Victorino (age 19) · Deretd Parra (age 19) · Alimber Santa (age 18)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 126118vR 110

ERA4.90

FIP4.90

K%20.2%

BB%11.8%

K-BB%8.4%

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	18	ROK MLE	DSL Twins	11	5	29	128	26	13	2	45%	2.6	13.8%	12.7%	1.1%	2.2%	7.45	4.74	—
2026	18	ROK MLE	DSL Twins	11	5	29	128	26	13	2	45%	2.6	13.8%	12.7%	1.1%	2.2%	7.45	4.74	—
2026	18	ROK RAW	DSL Twins	11	5	29	128	26	13	2	45%	2.6	20.3%	10.2%	10.2%	1.6%	7.45	3.55	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	19	MLB	MIN	16	0	17	72	14	8	2	0%	1.1	20.2%	11.8%	8.4%	3.0%	4.90	4.90	-0.1
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	20	MLB MLE	MIN	26	0	27	116	24	12	3	0%	1.1	21.0%	10.8%	10.2%	2.9%	4.74	4.67	-0.0
2028	20	MLB CTX	MIN	12	0	13	55	12	6	2	0%	1.1	21.0%	10.8%	10.2%	2.9%	4.74	4.67	-0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		13	0	13	57	12	6	2	0%	1.0	21.0%	10.8%	10.2%	2.9%	4.74	4.29	+0.0
/ 200 IP	—	RAW		190	0	200	844	178	89	30	0%	1.1	21.0%	10.8%	10.2%	2.9%	4.74	4.29	+0.6
Career	—	MLE		11	5	29	128	18	16	3	45%	2.6	13.8%	12.7%	1.1%	2.2%	7.45	4.74	-0.0
/ 200 IP	—	MLE		76	34	200	883	122	112	19	45%	2.6	13.8%	12.7%	1.1%	2.2%	7.45	4.74	-0.3

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
Yolcar Garcia (OGILVIE)	—	—	4.90	20.2%	11.8%	3.0%	—	4.67	21.0%	10.2%	27	-0.23	—	—	—
Luis Victorino R 2022 · 4.26 FIP	19	SP-	4.26	18.9%	12.8%	2.1%	.301	4.98	15.9%	-5.0%	84	+0.72	4.26	149	89
Deretd Parra R 2019 · 5.29 FIP	19	SP-	5.29	16.8%	10.9%	4.1%	.295	3.85	15.7%	2.3%	83	-1.44	2.79	161	87
Alimber Santa R 2021 · 4.85 FIP	18	SW	4.85	17.0%	11.4%	3.2%	.304	5.08	20.9%	1.8%	125	+0.23	3.30	277	87
Eccel Correa R 2023 · 4.39 FIP	20	SW	4.39	19.4%	11.9%	2.6%	.316	4.41	14.0%	2.2%	154	+0.02	3.96	189	87
Luis Aguilar R 2023 · 4.45 FIP	19	SW	4.45	17.6%	10.3%	2.8%	.356	4.27	16.7%	6.7%	111	-0.18	3.51	146	86
Jose Morban R 2017 · 4.42 FIP	19	SP-	4.42	18.7%	11.2%	2.7%	.333	3.98	16.9%	5.8%	61	-0.44	3.98	178	85
Kobe Robinson R 2022 · 4.49 FIP	21	SW	4.49	23.2%	14.3%	2.8%	.296	3.44	18.8%	4.9%	84	-1.05	2.98	107	83
Jerming Rosario R 2021 · 4.97 FIP	19	SW	4.97	21.1%	10.5%	4.2%	.303	4.43	20.9%	5.7%	281	-0.54	3.05	507	83
Juan Mendez R 2021 · 4.45 FIP	22	SW	4.45	20.5%	14.2%	2.3%	.271	5.07	21.9%	6.1%	128	+0.62	3.69	156	82
Anderson Cardenas R 2024 · 4.90 FIP	18	SW	4.90	19.5%	11.9%	3.5%	.235	3.52	22.2%	8.8%	58	-1.38	3.52	129	82
Ricardo Brizuela R 2022 · 4.03 FIP	19	SW	4.03	20.1%	11.6%	2.1%	.375	4.39	16.0%	7.1%	208	+0.36	3.20	246	81
Carlos Espinosa R 2022 · 3.73 FIP	20	SW	3.73	17.0%	11.2%	1.2%	.260	4.52	22.0%	9.8%	177	+0.79	3.73	274	81
Michael Dominguez R 2019 · 3.82 FIP	18	SW	3.82	20.8%	13.2%	1.5%	.218	4.69	21.1%	10.6%	110	+0.87	3.82	383	81
Jose Vasquez R 2024 · 4.12 FIP	19	SW	4.12	21.9%	13.4%	2.1%	.359	6.49	15.6%	-10.2%	66	+2.37	4.12	123	81
Saul Teran R 2022 · 4.81 FIP	20	SW	4.81	17.5%	9.8%	3.5%	.333	3.88	20.8%	8.7%	94	-0.93	2.28	166	81
Jhoster Baez R 2024 · 4.57 FIP	19	SP-	4.57	17.3%	14.8%	1.9%	.283	5.93	15.9%	-5.0%	73	+1.36	4.57	110	80
Henson Leal R 2023 · 5.16 FIP	19	SP-	5.16	17.6%	10.0%	4.2%	.408	4.05	17.7%	7.8%	146	-1.11	3.49	193	80
Miguel Alfonseca R 2021 · 4.19 FIP	21	SP-	4.19	18.3%	12.1%	2.0%	.400	5.36	14.9%	-0.9%	92	+1.17	4.19	123	79
Wuilliams Rodriguez R 2024 · 3.76 FIP	18	SW	3.76	16.3%	11.0%	1.2%	.277	5.39	14.3%	3.9%	120	+1.63	3.76	187	79
Nick Lockhart R 2021 · 5.73 FIP	20	SW	5.73	18.3%	11.6%	4.9%	.315	4.53	19.3%	9.0%	92	-1.20	4.44	140	79