Engert Garcia

P Charleston RiverDogs

Age 27 RHP 5'11" / 190 lbs A

Overview

APROSPECT

MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2023	23	ROKDSL Tampa Bay	11	9	46	1.58	2.22	24.9%	4.4%	—	K 16.9% · BB 5.5% · FIP 3.13
2024	24	ATB	19	6	53	3.74	3.33	21.6%	14.2%	—	K 15.9% · BB 16.8% · FIP 4.25
2025	25	MIX2 levels	21	1	33	5.18	4.62	18.4%	20.4%	—	K 12.9% · BB 27.2% · FIP 5.94
2027PROJ	27	MLBTB	19	0	20	5.81	5.81	19.2%	18.7%	-0.3
2028PROJ36% MLB	28	MLBTB	7	0	7	5.71	5.75	19.5%	17.9%	-0.1

Next 2 projected WAR -0.4Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

CompsJeremy Guthrie (age 27) · Tyler Davis (age 25) · Ben Gross (age 25)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 143135vR 127

ERA5.81

FIP5.81

K%19.2%

BB%18.7%

K-BB%0.5%

Proj IP20

Value2027 · WAR

Runs saved vs league avg · 20 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)
2023	23	ROK MLE	DSL Tampa Bay	11	9	46	181	45	8	2	82%	4.2	16.9%	5.5%	11.4%	1.4%	1.58	3.13	—
2023	23	ROK RAW	DSL Tampa Bay	11	9	46	181	45	8	2	82%	4.2	24.9%	4.4%	20.4%	1.1%	1.58	2.22	—
2024	24	A MLE	Charleston RiverDogs	19	6	53	232	50	33	1	32%	2.8	15.9%	16.8%	-0.8%	0.7%	3.74	4.25	—
2024	24	A MLE	Charleston RiverDogs	19	6	53	232	50	33	1	32%	2.8	15.9%	16.8%	-0.8%	0.7%	3.74	4.25	—
2024	24	A RAW	Charleston RiverDogs	19	6	53	232	50	33	1	32%	2.8	21.6%	14.2%	7.3%	0.4%	3.74	3.33	—
2025	25	MIX MLE	2 levels	21	1	33	152	28	31	1	5%	1.6	12.9%	27.2%	-14.2%	0.9%	5.18	5.94	—
2025	25	MIX MLE	2 levels	21	1	33	152	28	31	1	5%	1.6	12.9%	27.2%	-14.2%	0.9%	5.18	5.94	—
2025	25	MIX RAW	2 levels	21	1	33	152	28	31	1	5%	1.6	18.4%	20.4%	-2.0%	0.7%	5.18	4.62	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	27	MLB	TB	19	0	20	84	16	16	2	0%	1.1	19.2%	18.7%	0.5%	2.9%	5.81	5.81	-0.3
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	28	MLB MLE	TB	19	0	20	84	16	15	3	0%	1.1	19.5%	17.9%	1.6%	3.0%	5.71	5.75	-0.3
2028	28	MLB CTX	TB	7	0	7	30	6	5	1	0%	1.0	19.5%	17.9%	1.6%	3.0%	5.71	5.75	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		7	0	7	31	6	6	1	0%	1.0	19.5%	17.9%	1.6%	3.0%	5.71	5.37	-0.1
/ 200 IP	—	RAW		190	0	200	844	165	165	28	0%	1.1	19.5%	17.9%	1.6%	3.0%	5.71	5.37	-1.9
Career	—	MLE		51	16	132	565	87	90	5	31%	2.6	15.4%	16.0%	-0.5%	1.0%	3.35	4.35	-0.3
/ 200 IP	—	MLE		77	24	200	858	133	137	8	31%	2.6	15.4%	16.0%	-0.5%	1.0%	3.35	4.35	-2.7

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
Engert Garcia (OGILVIE)	—	—	5.81	19.2%	18.7%	2.9%	—	5.75	19.5%	1.6%	20	-0.06	—	—	—
Jeremy Guthrie R 2006 · 4.92 FIP	27	SU	4.92	15.1%	15.1%	2.1%	.349	4.57	14.8%	8.1%	566	-0.35	4.08	1,834	77
Tyler Davis R 2024 · 6.02 FIP	25	SU	6.02	21.0%	18.8%	4.2%	.317	3.78	21.9%	10.2%	111	-2.24	3.20	137	73
Ben Gross R 2022 · 4.85 FIP	25	SW	4.85	17.6%	15.6%	2.3%	.303	—	—	—	—	—	4.05	118	72
Hunter Dollander R 2023 · 6.77 FIP	26	SU	6.77	17.6%	18.3%	5.2%	.329	—	—	—	—	—	3.92	106	72
Haden Erbe R 2024 · 5.28 FIP	25	SU	5.28	18.4%	16.5%	3.0%	.320	5.19	17.8%	0.5%	40	-0.09	5.19	116	70
Vanny Valenzuela R 2015 · 6.82 FIP	27	SW	6.82	12.4%	14.8%	5.3%	.314	4.29	15.8%	4.6%	70	-2.53	3.26	118	70
Brian Glowicki R 2022 · 5.39 FIP	27	SU	5.39	18.2%	15.9%	3.3%	.229	—	—	—	—	—	2.31	189	70
Ariel Peña R 2016 · 6.26 FIP	27	SW	6.26	16.2%	17.7%	4.2%	.379	4.57	21.8%	6.0%	75	-1.69	3.74	223	70
Fernando Baez R 2017 · 5.37 FIP	25	SU	5.37	24.3%	21.2%	3.0%	.271	—	—	—	—	—	3.45	129	69
Mitchell Osnowitz R 2017 · 5.30 FIP	26	SU	5.30	16.5%	18.7%	2.2%	.366	5.43	19.2%	7.7%	42	+0.13	4.54	132	69
Alex Caldera R 2015 · 5.57 FIP	29	SW	5.57	10.4%	13.1%	3.1%	.333	4.54	11.9%	0.8%	84	-1.03	4.54	120	69
Nelson Gonzalez R 2017 · 5.00 FIP	27	SU	5.00	15.3%	13.7%	2.6%	.239	5.79	17.4%	6.7%	96	+0.79	3.42	258	68
Jake Gilbert R 2022 · 4.65 FIP	25	SU	4.65	18.2%	16.2%	1.9%	.331	—	—	—	—	—	4.14	103	68
Thad Weber R 2013 · 5.18 FIP	28	SU	5.18	16.4%	13.1%	3.3%	.244	4.52	12.2%	6.0%	308	-0.66	4.40	378	68
Paul Clemens R 2015 · 5.37 FIP	27	SP-	5.37	14.3%	14.1%	3.1%	.310	4.62	16.9%	7.3%	200	-0.75	4.58	345	68
Julian Arballo R 2015 · 5.13 FIP	27	SU	5.13	15.1%	13.8%	2.8%	.335	4.46	12.6%	0.6%	116	-0.67	4.45	214	67
Colby Morris R 2022 · 5.76 FIP	25	SW	5.76	16.2%	11.8%	4.6%	.268	—	—	—	—	—	4.11	105	67
Cameron Foster R 2024 · 4.83 FIP	25	SW	4.83	17.4%	11.5%	3.2%	.321	3.09	25.5%	17.5%	60	-1.74	2.50	213	67
Endrys Briceno R 2018 · 4.76 FIP	26	SU	4.76	14.0%	13.2%	2.1%	.328	—	—	—	—	—	3.67	303	67
Logan Taylor R 2018 · 4.79 FIP	26	SU	4.79	17.2%	12.1%	2.9%	.316	—	—	—	—	—	3.55	300	67