Angel Garcia — OGILVIE

Angel GarciaOF FCL Orioles

Age 19 R/R 6'2" / 195 lbs ROK HR +9% Svc 0.0 · Ctrl thru 2037

2026 ROS PROJECTION71 act + 11 ros · stats below = ROS only

showingROS

wRC+†51

AVG/OBP/SLG.100 / .182 / .100

PA11

HR0

K%27

BB%9

BABIP275

ISO85

MLB%0%

Value2026 · WAR

trajectory · projected WAR by year

Tools · ContractCON 45 / POW 25

Toolsscout grade

CONTACT45

scouting grade only

POWER25

scouting grade only

EYE25

scouting grade only

SPEED45

scouting grade only

Contract ESTIMATED · service-time + WAR-based estimator (needs verification)

Status MiLB

MLB Debut 2032

Service 0 yrs (est)

Team Control Through 2037

First FA Year 2038

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2032
2027	MiLB	still in minors · estimated debut 2032
2028	Ext	beyond projection horizon · no WAR estimate
2029	Ext	beyond projection horizon · no WAR estimate
2030	Ext	beyond projection horizon · no WAR estimate
2031	Ext	beyond projection horizon · no WAR estimate
2032	Ext	beyond projection horizon · no WAR estimate
2033	Ext	beyond projection horizon · no WAR estimate
2034	Ext	beyond projection horizon · no WAR estimate
2035	Ext	beyond projection horizon · no WAR estimate
2036	Ext	beyond projection horizon · no WAR estimate
2037	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$0.0M	+$0.0M

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 these numbers are built

All seasons translated to park-neutral MLB-equivalent (MLE) and combined per year. 2026 = actual YTD + projected ROS + total. 2027+ via Advanced Marcel + aging curve.

Year	Age	Lvl	Team	MLB%	PA	AB	H	2B	3B	HR	BB	SO	HBP	SB	CS	AVG	OBP	SLG	OPS	ISO	BABIP	K%	BB%	wOBA	wRC+	BAT	RUN	FLD	POS	REP	WAR
▸ Career — actual stats, one row per stint (as recorded, no adjustments)
2024	17	ROK	DSL Orioles Orange	—	143	114	25	5	1	2	19	37	9	3	3	219	373	333	707	114	303	26	13	332	111	+2	-1	—	—	+3	0.4
2025	18	ROK	DSL Orioles Orange	—	154	128	37	9	2	1	12	28	13	4	1	289	405	414	819	125	360	18	8	373	138	+7	+0	—	—	+3	1.1
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	17	ROK MLE	DSL Orioles Orange	—	143	122	16	3	1	1	11	54	9	3	3	131	254	197	450	66	216	38	8	214	31	-12	-1	—	—	+3	-0.9
2025	18	ROK MLE	DSL Orioles Orange	—	154	133	28	6	1	1	7	40	13	4	1	211	314	293	607	83	277	26	5	264	65	-6	+0	—	—	+3	-0.3
2024	17	ROK MLE	DSL Orioles Orange	—	143	122	16	3	1	1	11	54	9	3	3	131	254	197	450	66	221	38	8	214	31	—	—	—	—	—	—
2024	17	ROK RAW	DSL Orioles Orange	—	143	114	25	5	1	2	19	37	9	3	3	219	373	333	707	114	303	26	13	332	31	—	—	—	—	—	—
2025	18	ROK MLE	DSL Orioles Orange	—	154	133	28	6	1	1	7	40	13	4	1	211	314	293	607	83	290	26	5	264	65	—	—	—	—	—	—
2025	18	ROK RAW	DSL Orioles Orange	—	154	128	37	9	2	1	12	28	13	4	1	289	405	414	819	125	360	18	8	373	65	—	—	—	—	—	—
2024	17	ROK MLE	DSL Orioles Orange	—	143	122	16	3	1	1	11	54	9	3	3	131	254	197	450	66	216	38	8	214	31	—	—	—	—	—	—
2025	18	ROK MLE	DSL Orioles Orange	—	154	133	28	6	1	1	7	40	13	4	1	211	314	293	607	83	277	26	5	264	65	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2024	17	ROK MLE	DSL Orioles Orange	—	143	122	16	3	1	1	11	54	9	3	3	131	254	197	450	66	216	38	8	214	31	—	—	—	—	—	—
2025	18	ROK MLE	DSL Orioles Orange	—	154	133	28	6	1	1	7	40	13	4	1	211	314	293	607	83	277	26	5	264	65	—	—	—	—	—	—
YTD	19	ROK MLE	BAL	—	71	66	9	4	0	0	3	24	1	1	0	136	186	197	383	61	209	34	4	168	0	-8	+0	+0	-0	+2	-0.7
▸ 2026 season
YTD	19	ROK RAW	BAL	—	71	64	13	6	0	0	5	17	1	1	0	203	271	297	568	94	271	24	7	257	0	—	—	—	—	—	—
ROS	19	ROK MLE	BAL	0%	11	10	1	0	0	0	1	3	0	0	0	100	182	100	282		271	27	9	244	51	-1	+0	+0	-0	+0	-0.0
TOT	19	ROK MLE	BAL	—	82	76	10	4	0	0	4	27	1	1	0	132	185	184	369	53	200	33	5	178	7	-9	+0	+0	-0	+2	-0.8
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	20	MLB MLE	BAL	34%	215	197	41	9	1	3	12	59	4	3	1	208	268	310	577	102	274	27	6	257	60	-10	+0	+0	-1	+5	-0.7
2027	20	MLB CTX	BAL	34%	74	69	14	3	0	1	4	20	1	1	0	203	257	290	547	87	278	27	5	247	60	-3	+0	+0	-0	+2	-0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	74	69	14	3	0	1	4	20	1	1	0	203	257	290	547	87	271	27	5	247	53	-3	+0	+0	-0	+2	-0.2
/ 162G	—	A+C		—	650	606	123	26	0	9	35	176	9	9	0	203	257	290	547	87	271	27	5	247	53	-31	+2	+0	-4	+14	-1.9
Career	—	MLE		—	523	462	86	18	3	5	31	156	26	10	5	186	276	271	546	84	266	30	6	247	53	-11	+0	+0	-1	+5	-0.7
/ 162G	—	MLE		—	650	574	107	22	4	6	39	194	32	12	6	186	276	270	546	84	267	30	6	247	53	-31	+1	+0	-4	+14	-2.1

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Adam Engellast yr '22 career totals — 6 seasons, 1,540 PA	2.3	1,540	30	47	225	280	350	+4	+33	4.1	4.1
/162	664	13	20	+1.8	+14.4	1.8	pk7: 4
#2Adam Rosaleslast yr '17 career totals — 9 seasons, 1,756 PA	2.6	1,756	47	16	227	293	367	+6	+8	3.0	3.5
/162	664	18	6	+2.4	+3.0	1.1	pk7: 4
#3Guillermo Heredialast yr '22 career totals — 6 seasons, 1,530 PA	2.3	1,530	25	6	231	311	345	+3	+17	3.5	3.5
/162	664	11	3	+1.2	+7.6	1.5	pk7: 3
#4Ryan Goinslast yr '19 career totals — 7 seasons, 1,680 PA	2.5	1,680	22	6	230	279	335	+9	+21	2.0	2.0
/162	664	9	2	+3.7	+8.5	0.8	pk7: 2
#5Nick Senzellast yr '24 career totals — 6 seasons, 1,633 PA	2.5	1,633	40	33	232	299	363	+6	-14	0.9	0.9
/162	664	16	13	+2.4	-5.8	0.4	pk7: 1
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 1 projected seasons	0.3	202	2	3	207	265	297	-1	+0	-0.5	-0.2
/162	664	7	10	-4.0	+0.0	-1.6	pk7: 0
#6Alexi Amaristalast yr '17 career totals — 7 seasons, 1,901 PA	2.9	1,901	21	39	231	275	323	+14	-6	-1.1	-1.1
/162	664	7	14	+4.9	-2.1	-0.4	pk7: -1

Career Path Comps

What happened to players with a similar stat profile at this age · Y-axis: wRC+ (100 = league avg, 150 = elite, 80 = below) · Bands: P10–P90 outer, P25–P75 inner · Gold: OGILVIE projection

		Scouting				At Match Age									Next 3 Yrs									Peak 3 Yrs
Comp	Age	HIT	PWR	SPD	EYE	AVG/OBP/SLG	ISO	BABIP	HR	SB	K%	BB%	wRC+	WAR	AVG/OBP/SLG	ISO	BABIP	HR	SB	K%	BB%	wRC+	WAR	AVG/OBP/SLG	ISO	BABIP	HR	SB	K%	BB%	wRC+	WAR
Angel Garcia (OGILVIE)	19	45	25	45	25	195/254/276	82	271	1	2	28%	5%	51	-0.5	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Edinson Valdez 2018 · A	19	45	35→30	42→45	39	213/251/273	60	281	2	6	25%	4%	47	-2.5	211/251/282	71	282	4	6	25%	4%	50	-2.3	208/230/264	55	258	4	2	21%	2%	33	-0.7
✕Joshual Ramirez 2015 · A	19	47	37→30	45→50	42	224/272/298	74	287	5	9	23%	5%	62	-1.4	198/245/271	73	271	4	8	27%	5%	46	-2.6	154/194/243	89	210	3	6	27%	4%	18	-1.1
✕Maicol Sosa 2018 · A	19	42	36→40	44→50	39	199/244/264	66	284	4	7	30%	5%	43	-2.8	211/271/299	88	304	8	12	31%	6%	62	-1.4	203/268/285	82	287	10	18	31%	6%	55	-0.7
✕Anthony Fonseca 2008 · A	19	43	35→30	43→50	43	202/262/256	54	265	3	9	24%	6%	49	-2.4	208/278/263	55	273	3	10	24%	5%	57	-1.8	199/273/238	40	266	3	10	24%	5%	48	-0.7
✕Juan Vega 2008 · A	19	43	36→30	48→50	38	203/266/270	67	263	2	9	23%	3%	55	-2.0	217/273/288	71	265	4	11	19%	4%	61	-1.5	223/276/282	59	262	3	15	16%	3%	60	-0.7
✕Jimmy Mojica 2019 · A	19	44	36→40	46→50	40	207/258/276	69	268	4	8	24%	4%	51	-2.2	205/258/280	75	272	5	7	25%	5%	53	-2.1	182/238/250	68	239	6	5	25%	4%	38	-0.9
✕Santiago Millan 2022 · A	19	43	38→30	46→50	43	206/272/280	73	281	7	11	28%	7%	59	-1.7	193/256/284	91	323	9	9	40%	7%	53	-2.1	131/206/243	112	229	14	8	47%	8%	25	-0.9
✕Luis Reynoso 2014 · A	19	43	36→30	45→50	45	204/267/271	67	279	3	9	27%	7%	54	-2.0	192/247/249	57	314	4	6	37%	6%	41	-3.0	172/225/205	33	303	3	3	41%	6%	21	-1.1
✕Andres Martinez 2014 · A	19	43	37→30	47→45	42	200/267/273	74	300	4	8	33%	7%	55	-2.0	211/277/277	66	288	3	9	25%	7%	59	-1.6	206/276/260	54	277	1	10	24%	7%	52	-0.6
✕Jeremy Rivas 2022 · A	19	45→50	35→30	44→55	42	211/266/267	56	280	2	8	24%	5%	53	-2.1	198/254/249	51	288	3	12	30%	6%	44	-2.8	202/272/268	66	284	7	24	29%	7%	54	-1.3
✕Braian Fernández 2019 · A	20	48	35→30	45	42	226/275/287	61	295	2	8	23%	5%	60	-1.6	205/257/271	66	301	3	8	31%	6%	50	-2.3	172/226/222	50	281	2	6	37%	6%	24	-1.0
✕Yan Olmo 2010 · A	19	39	35→30	46→55	38	186/243/245	60	251	2	9	26%	4%	40	-3.1	204/262/267	63	269	4	13	25%	5%	51	-2.2	204/264/252	48	262	5	18	23%	5%	46	-0.8
✕Jose Cordoba 2022 · A	19	40	40	46→55	38	195/253/280	85	273	7	8	30%	5%	51	-2.2	200/258/297	97	283	8	10	31%	6%	57	-1.8	204/262/298	94	272	5	15	25%	6%	56	-0.8
✕Moises Charles 2008 · A	19	45	34→30	46→55	44	209/272/260	51	266	2	11	21%	6%	53	-2.1	220/277/281	61	292	2	12	24%	6%	60	-1.6	242/291/288	46	318	0	19	22%	5%	63	-0.5
✕Domingo Morillo 2007 · A	19	49	35→30	46→50	41	228/281/288	60	307	3	12	25%	5%	63	-1.4	209/276/275	66	279	2	9	24%	7%	59	-1.7	179/261/234	55	234	0	6	21%	7%	43	-1.0
✕Henry Santana 2014 · A	19	43	37→40	45→55	38	203/245/275	72	286	4	9	29%	5%	46	-2.6	206/253/278	72	263	3	10	22%	3%	50	-2.3	203/248/274	71	252	3	13	20%	2%	45	-1.0
✕Marco Soto 2023 · A	19	46	34→30	49→50	45	213/271/269	56	272	1	10	21%	6%	55	-2.0	192/246/249	57	274	3	7	29%	5%	41	-3.0	146/198/179	33	218	2	4	32%	4%	7	-1.1
✕Francisco Medina 2017 · A	19	43	39→40	49→40	42	208/264/283	75	274	8	5	26%	6%	56	-1.9	181/232/252	71	308	5	5	40%	6%	36	-3.3	130/174/193	63	246	4	4	47%	5%	-1	-1.3
✕Glenn Beltran 2011 · A	19	43	35→40	45→50	36	202/248/265	62	297	1	7	31%	4%	45	-2.7	207/255/281	74	290	5	8	29%	5%	51	-2.2	201/249/266	65	282	5	6	29%	5%	44	-0.9
✕Edwin Ventura 2017 · A	19	48	37→30	54→55	41	225/280/299	74	293	4	12	24%	5%	65	-1.2	192/240/242	50	258	2	14	25%	5%	36	-3.3	167/212/188	21	225	0	20	24%	4%	12	-1.5

Career Stats + Projections

Career Comps

Career Path Comps