Alexander Garcia

P DSL Angels

Age 18 RHP ROK

Overview

ROKPROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2026	17	ROKLAA	9	6	18	10.50	6.93	13.1%	23.2%	—	K 8.9% · BB 29.0% · FIP 7.58
2027PROJ	18	MLBLAA	2	2	11	6.03	6.03	19.3%	20.0%	-0.1
2028PROJ49% MLB	19	MLBLAA	2	2	10	5.65	5.51	20.3%	16.8%	-0.1

Next 2 projected WAR -0.2Projected 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%

CompsChris Viall (age 20) · Jesus Rivero (age 18) · Keegan Zinn (age 19)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 148140vR 131

ERA6.03

FIP6.03

K%19.3%

BB%20.0%

K-BB%-0.7%

Proj IP11

Value2027 · WAR

Runs saved vs league avg · 11 IP

Grades · Contract

Scouting Grades

K†4550

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 Angels	9	6	18	99	13	23	2	67%	2.0	8.9%	29.0%	-20.1%	2.8%	10.50	7.58	—
2026	17	ROK MLE	DSL Angels	9	6	18	99	13	23	2	67%	2.0	8.9%	29.0%	-20.1%	2.8%	10.50	7.58	—
2026	17	ROK RAW	DSL Angels	9	6	18	99	13	23	2	67%	2.0	13.1%	23.2%	-10.1%	2.0%	10.50	6.93	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	18	MLB	LAA	2	2	11	46	9	9	1	100%	5.5	19.3%	20.0%	-0.7%	3.0%	6.03	6.03	-0.1
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	19	MLB MLE	LAA	4	4	20	84	17	14	2	100%	5.0	20.3%	16.8%	3.5%	2.9%	5.65	5.51	-0.1
2028	19	MLB CTX	LAA	2	2	10	42	9	7	1	100%	5.0	20.3%	16.8%	3.5%	2.9%	5.65	5.51	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		2	2	10	42	8	7	1	100%	4.9	20.3%	16.8%	3.5%	2.9%	5.65	5.13	-0.0
/ 200 IP	—	RAW		46	46	200	844	163	142	20	100%	4.3	20.3%	16.8%	3.5%	2.9%	5.65	5.13	-0.5
Career	—	MLE		9	6	18	99	9	29	3	67%	2.0	8.9%	29.0%	-20.1%	2.8%	10.50	7.58	-0.1
/ 200 IP	—	MLE		100	67	200	1100	98	319	31	67%	2.0	8.9%	29.0%	-20.1%	2.8%	10.50	7.58	-1.4

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
Alexander Garcia (OGILVIE)	—	—	6.03	19.3%	20.0%	3.0%	—	5.51	20.3%	3.5%	20	-0.52	—	—	—
Chris Viall R 2016 · 5.86 FIP	20	SP-	5.86	18.9%	21.9%	2.9%	.314	5.06	21.3%	5.8%	88	-0.80	4.89	108	89
Jesus Rivero R 2021 · 5.42 FIP	18	SP-	5.42	21.7%	22.1%	2.5%	.224	4.35	21.7%	1.5%	117	-1.07	4.09	146	83
Keegan Zinn R 2024 · 6.40 FIP	19	SP-	6.40	19.1%	19.5%	4.4%	.318	5.80	19.0%	-1.9%	112	-0.60	4.88	145	83
Janser Lara R 2016 · 5.61 FIP	19	SP-	5.61	20.1%	17.3%	3.7%	.354	5.04	17.9%	4.8%	118	-0.57	2.84	220	83
Randry De Leon R 2023 · 6.45 FIP	18	SP-	6.45	17.7%	20.2%	4.2%	.308	4.83	18.4%	3.3%	123	-1.62	4.37	153	82
Yosber Sanchez R 2019 · 5.58 FIP	18	SP-	5.58	14.6%	14.9%	3.3%	.315	4.61	20.2%	-5.2%	13	-0.97	3.21	200	82
Jesus Tillero R 2024 · 5.94 FIP	18	SP-	5.94	13.3%	18.0%	3.1%	.274	5.23	14.8%	3.8%	129	-0.71	2.26	180	80
Wilmer Blanco R 2022 · 5.15 FIP	18	SP-	5.15	15.0%	19.9%	1.5%	.348	4.81	16.3%	1.5%	92	-0.34	3.81	163	80
Sandy Gaston R 2019 · 5.63 FIP	17	SP-	5.63	16.3%	26.2%	1.1%	.314	5.05	22.9%	-0.2%	105	-0.58	4.17	310	79
Dylan Questad R 2024 · 6.95 FIP	19	SP-	6.95	17.6%	24.0%	4.2%	.392	6.50	17.3%	-5.3%	89	-0.45	6.31	117	79
Jace Beck R 2021 · 5.13 FIP	21	SP-	5.13	21.1%	23.7%	1.5%	.347	5.32	25.7%	2.8%	50	+0.19	4.03	216	79
Edgar Isea R 2022 · 5.51 FIP	19	SP-	5.51	19.3%	20.3%	2.7%	.371	5.19	21.4%	-4.1%	98	-0.32	4.50	162	79
Jose Pena Jr. R 2022 · 5.48 FIP	19	SP-	5.48	15.0%	18.7%	2.3%	.269	4.62	19.2%	3.1%	124	-0.86	3.48	176	79
Yeri Perez R 2023 · 5.94 FIP	18	SP-	5.94	13.8%	26.5%	1.2%	.292	5.58	16.0%	-9.0%	136	-0.36	4.91	185	79
Ernesto Jaquez R 2017 · 4.99 FIP	18	SW	4.99	18.4%	16.9%	2.4%	.265	2.56	24.8%	15.7%	53	-2.43	2.56	239	79
Ernesto Mercedes R 2022 · 4.92 FIP	18	SP-	4.92	16.7%	21.7%	0.9%	.271	4.69	20.2%	-1.4%	132	-0.23	3.86	213	78
Omar Victorino R 2023 · 6.10 FIP	18	SP-	6.10	15.9%	23.4%	2.5%	.367	5.43	14.6%	-6.8%	125	-0.67	5.26	182	78
Edinzo Marquez R 2022 · 4.97 FIP	17	SW	4.97	20.5%	18.9%	2.2%	.250	3.90	13.2%	0.4%	119	-1.07	3.26	188	78
Jordany Chirinos R 2024 · 4.89 FIP	18	SP-	4.89	16.2%	18.6%	1.4%	.312	5.29	12.2%	-5.4%	46	+0.40	3.40	126	78
Tahnaj Thomas R 2017 · 6.61 FIP	18	SP-	6.61	12.8%	22.8%	3.1%	.309	5.06	23.0%	7.4%	20	-1.55	3.81	214	78