Isaac Garcia — OGILVIE

Isaac GarciaOF DSL Reds

Age 18 R/R 5'11" / 163 lbs ROK HR +16%BB +6% Svc 0.0 · Ctrl thru 2037

2026 ROS PROJECTION182 act + 18 ros · stats below = ROS only

showingROS

wRC+†79

AVG/OBP/SLG.235 / .278 / .294

PA18

HR0

K%22

BB%6

BABIP290

ISO59

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$18M ctrl surplus

Tools · ContractCON 50 / POW 25

Toolsscout grade

CONTACT50

scouting grade only

POWER25

scouting grade only

EYE30

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	MiLB	still in minors · estimated debut 2032
2029	MiLB	still in minors · estimated debut 2032
2030	MiLB	still in minors · estimated debut 2032
2031	MiLB	still in minors · estimated debut 2032
2032	Pre-Arb	$0.9M	+0.5	$1M	+$0.8M
2033	Pre-Arb	$1.0M	+0.5	$1M	+$0.7M
2034	Pre-Arb	$1.0M	+0.5	$1M	+$0.7M
2035	Arb-1	$3M	+0.5	$1M	+$0.0M (cut)
2036	Arb-2	$4M	+0.5	$0.9M	+$0.0M (cut)
2037	Arb-3	$5M	+0.4	$0.7M	+$0.0M (cut)
Totals		$3M		$6M	+$2M

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)
2025	17	ROK	DSL Rojos	—	159	138	38	10	2	1	13	13	7	5	0	275	367	399	766	123	296	8	8	346	120	+4	+1	—	—	+3	0.8
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	17	ROK MLE	DSL Rojos	—	159	143	30	7	1	1	8	19	7	5	0	210	285	294	579	84	232	12	5	255	59	-8	+1	—	—	+3	-0.3
2025	17	ROK MLE	DSL Rojos	—	159	143	30	7	1	1	8	19	7	5	0	210	285	294	579	84	234	12	5	255	59	—	—	—	—	—	—
2025	17	ROK RAW	DSL Rojos	—	159	138	38	10	2	1	13	13	7	5	0	275	367	399	766	123	296	8	8	346	59	—	—	—	—	—	—
2025	17	ROK MLE	DSL Rojos	—	159	143	30	7	1	1	8	19	7	5	0	210	285	294	579	84	232	12	5	255	59	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2025	17	ROK MLE	DSL Rojos	—	159	143	30	7	1	1	8	19	7	5	0	210	285	294	579	84	232	12	5	255	59	—	—	—	—	—	—
YTD	18	ROK MLE	CIN	—	182	154	37	6	0	2	17	33	9	4	1	240	350	318	668	78	289	18	9	303	91	-2	+0	+0	-1	+4	0.1
▸ 2026 season
YTD	18	ROK RAW	CIN	—	182	143	47	9	0	3	28	23	9	4	1	329	467	455	921	126	370	13	15	416	91	—	—	—	—	—	—
ROS	18	ROK MLE	CIN	0%	18	17	4	1	0	0	1	4	0	0	0	235	278	294	572	59	287	22	6	285	79	-0	+0	+0	-0	+0	-0.0
TOT	18	ROK MLE	CIN	—	200	171	41	7	0	2	18	37	9	4	1	240	343	316	659	76	291	18	9	301	90	-2	+0	+0	-1	+4	0.1
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	19	MLB MLE	CIN	34%	244	218	51	9	1	4	18	52	6	4	1	234	310	339	649	106	289	21	7	294	85	-4	+0	+0	-1	+5	-0.0
2028	20	MLB MLE	CIN	48%	372	332	78	14	2	6	28	78	9	6	2	235	312	343	655	108	291	21	8	301	90	-4	+0	+0	-2	+8	0.2
2029	21	MLB MLE	CIN	54%	467	417	100	18	2	9	36	98	11	7	2	240	317	357	674	118	292	21	8	306	93	-4	+1	+0	-3	+10	0.4
2030	22	MLB MLE	CIN	57%	534	474	116	21	3	11	42	111	13	8	2	245	323	371	695	127	293	21	8	309	95	-3	+1	+0	-3	+12	0.6
2031	23	MLB MLE	CIN	58%	579	514	126	23	3	12	46	119	14	9	2	245	324	372	696	126	293	21	8	311	97	-2	+1	+0	-3	+13	0.8
2032	24	MLB MLE	CIN	57%	608	541	133	24	3	13	48	125	14	10	3	246	323	373	697	128	294	21	8	313	98	-2	+1	+0	-4	+13	0.9
2033	25	MLB MLE	CIN	57%	625	555	136	25	3	13	50	128	15	10	3	245	324	371	695	126	294	20	8	314	98	-1	+1	+0	-4	+14	1.0
2034	26	MLB MLE	CIN	57%	633	563	138	25	3	13	50	130	15	10	3	245	323	369	693	124	294	21	8	314	98	-1	+1	+0	-4	+14	1.0
2035	27	MLB MLE	CIN	55%	633	562	137	25	3	13	51	130	15	10	3	244	323	368	692	125	294	21	8	314	98	-1	+1	+0	-4	+14	1.0
2036	28	MLB MLE	CIN	55%	628	557	136	25	3	13	51	130	15	10	3	244	324	370	694	126	293	21	8	313	98	-2	+1	-1	-4	+14	0.8
2037	29	MLB MLE	CIN	53%	618	547	133	24	3	13	51	129	15	9	3	243	325	369	694	126	292	21	8	311	96	-3	+1	-1	-4	+13	0.6
2038	30	MLB MLE	CIN	57%	608	539	129	23	3	12	50	129	14	9	2	239	320	360	680	121	291	21	8	308	95	-4	+1	-2	-4	+13	0.5
2039	31	MLB MLE	CIN	60%	593	525	123	22	2	11	49	127	14	8	2	234	316	347	663	112	289	21	8	304	92	-6	+1	-3	-4	+13	0.1
2040	32	MLB MLE	CIN	61%	575	510	118	21	2	10	47	126	13	8	2	231	312	339	651	108	286	22	8	298	88	-8	+1	-4	-3	+12	-0.2
2027	19	MLB CTX	CIN	34%	84	76	17	3	0	1	6	18	2	1	0	224	298	303	600	79	292	21	7	281	85	-1	+0	+0	-1	+2	0.0
2028	20	MLB CTX	CIN	48%	180	160	38	7	1	3	14	38	4	3	1	237	315	350	665	112	294	21	8	288	90	-2	+0	+0	-1	+4	0.1
2029	21	MLB CTX	CIN	54%	253	225	55	10	1	5	20	53	6	4	1	244	323	364	687	120	295	21	8	294	93	-2	+0	+0	-2	+5	0.2
2030	22	MLB CTX	CIN	57%	302	268	66	12	2	6	24	63	7	5	1	246	324	373	698	127	296	21	8	297	95	-2	+1	+0	-2	+7	0.4
2031	23	MLB CTX	CIN	58%	333	296	73	13	2	7	26	69	8	5	1	247	324	375	699	128	296	21	8	299	97	-1	+1	+0	-2	+7	0.5
2032	24	MLB CTX	CIN	57%	347	309	77	14	2	8	27	71	8	6	1	249	326	385	711	136	297	20	8	301	98	-1	+1	+0	-2	+8	0.5
2033	25	MLB CTX	CIN	57%	354	315	78	14	2	8	28	73	8	6	2	248	325	381	706	133	297	21	8	301	98	-1	+0	+0	-2	+8	0.5
2034	26	MLB CTX	CIN	57%	358	317	79	14	2	8	29	73	9	6	2	249	330	382	711	132	297	20	8	301	98	-1	+0	+0	-2	+8	0.5
2035	27	MLB CTX	CIN	55%	351	312	78	14	2	8	28	72	8	6	2	250	328	385	712	135	297	21	8	301	98	-1	+0	+0	-2	+8	0.5
2036	28	MLB CTX	CIN	55%	345	306	77	14	2	8	28	71	8	5	1	252	330	389	719	137	296	21	8	300	98	-1	+1	-0	-2	+7	0.5
2037	29	MLB CTX	CIN	53%	330	292	72	13	2	7	27	69	8	5	1	247	327	377	704	130	296	21	8	299	96	-1	+1	-1	-2	+7	0.4
2038	30	MLB CTX	CIN	57%	347	307	75	14	2	7	29	73	8	5	1	244	326	371	697	127	294	21	8	296	95	-2	+1	-1	-2	+8	0.3
2039	31	MLB CTX	CIN	60%	353	313	75	14	1	7	29	76	8	5	1	240	320	358	678	118	292	22	8	291	92	-3	+1	-2	-2	+8	0.1
2040	32	MLB CTX	CIN	61%	352	312	73	13	1	7	29	77	8	5	1	234	315	349	665	115	289	22	8	286	88	-5	+1	-2	-2	+8	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	4289	3808	933	169	22	90	344	896	100	67	16	245	324	372	696	127	296	21	8	297	94	-24	+7	-6	-26	+93	4.4
/ 162G	—	A+C		—	650	577	142	26	3	14	52	136	15	10	2	246	325	374	699	128	297	21	8	297	94	-4	+1	-1	-4	+14	0.7
Career	—	MLE		—	7894	7014	1688	307	37	154	626	1635	190	123	33	241	320	361	681	120	291	21	8	308	94	-45	+10	-10	-46	+168	7.7
/ 162G	—	MLE		—	650	578	139	25	3	13	52	135	16	10	3	240	321	362	683	121	291	21	8	308	94	-4	+1	-1	-4	+14	0.6

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Marwin Gonzalezlast yr '22 career totals — 11 seasons, 3,882 PA	5.8	3,882	107	44	252	310	399	-10	+17	10.9	10.9
/162	664	18	8	-1.6	+2.8	1.9	pk7: 11
#2Logan Forsythelast yr '19 career totals — 9 seasons, 3,502 PA	5.3	3,502	70	42	246	327	370	+5	-11	8.6	9.2
/162	664	13	8	+0.9	-2.2	1.6	pk7: 10
#3Manuel Margotlast yr '24 career totals — 8 seasons, 3,154 PA	4.8	3,154	56	94	254	307	380	-5	+27	8.4	8.8
/162	664	12	20	-1.1	+5.6	1.8	pk7: 9
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 9 projected seasons	6.7	4,438	86	68	242	317	363	-27	+0	7.1	6.1
/162	664	13	10	-4.0	+0.0	1.1	pk7: 5
#4Michael Saunderslast yr '17 career totals — 8 seasons, 2,711 PA	4.1	2,711	81	55	233	305	399	-12	-13	4.1	4.5
/162	664	20	13	-2.9	-3.2	1.0	pk7: 5
#5Tony Kemplast yr '23 career totals — 7 seasons, 2,198 PA	3.3	2,198	35	52	238	326	354	-4	-3	4.3	4.3
/162	664	11	16	-1.3	-0.8	1.3	pk7: 4
#6Dustin Ackleylast yr '16 career totals — 6 seasons, 2,347 PA	3.5	2,347	46	31	241	304	367	-5	+7	3.8	3.8
/162	664	13	9	-1.3	+1.9	1.1	pk7: 4

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
Isaac Garcia (OGILVIE)	18	50	25	45	30	227/304/312	85	287	1	2	21%	7%	79	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Victor Rodrigues 2023 · A	18	41	38→30	49→50	43	196/259/277	81	254	5	7	24%	6%	53	-2.1	212/289/284	72	268	5	9	21%	9%	66	-1.1	221/317/274	53	274	5	10	19%	11%	72	-0.3
✕Mikey Edie 2015 · A	18	48	37→30	47→50	45	227/308/301	74	283	5	13	20%	6%	78	-0.3	214/275/269	55	304	2	15	29%	5%	57	-1.8	194/246/238	44	286	1	12	31%	3%	36	-1.2
✕José Fermín 2017 · A	18	42→51	37→45	48→55	44	201/258/285	84	274	3	8	27%	7%	54	-2.0	203/252/278	75	241	4	11	17%	4%	50	-2.3	244/330/367	123	265	11	26	12%	10%	98	+0.7
✕Luis Santana 2017 · A	18	47	37→45	44→50	44	220/273/299	79	265	3	5	18%	5%	63	-1.4	249/318/344	95	286	6	10	14%	7%	91	+0.6	243/313/349	105	286	8	12	17%	7%	86	+0.1
✕Jesus Alastre 2015 · A	18	51	34→30	44→50	41	236/305/293	57	301	1	11	21%	4%	74	-0.5	227/280/293	66	292	2	9	22%	4%	63	-1.3	250/283/334	84	348	4	9	28%	2%	69	-0.2
✕Ricky Cabrera 2023 · A	18	43	37→45	48→60	37	200/274/282	82	301	4	8	32%	5%	61	-1.5	219/296/323	104	314	8	15	31%	6%	78	-0.3	223/301/336	113	317	11	20	31%	6%	80	-0.1
✕Jose Monserrate 2023 · A	18	47	38→40	50	45	221/288/307	86	288	5	13	24%	7%	71	-0.8	215/291/282	67	299	3	21	26%	8%	66	-1.1	187/271/231	44	298	1	34	34%	9%	45	-0.6
✕Miguel Flames 2016 · A	18	49	39→40	49→30	41	231/289/323	92	315	6	4	27%	6%	74	-0.5	209/257/283	74	269	4	3	23%	5%	53	-2.1	186/231/247	60	233	4	0	21%	4%	33	-1.2
✕Yairo Muñoz 2013 · A	18	41→51	37→45	48→55	41	195/247/274	79	274	2	8	29%	6%	47	-2.6	202/253/288	86	262	6	7	24%	6%	53	-2.1	263/305/392	130	320	14	17	22%	5%	92	+0.4
✕Armando Sierra 2022 · A	18	45	37→45	41→40	41	211/271/282	71	309	4	4	31%	7%	58	-1.7	219/278/318	99	292	9	4	26%	7%	69	-0.9	214/272/321	107	278	11	2	26%	7%	65	-0.3
✕Dubal Baez 2011 · A	18	46	36→30	50→60	46	214/289/282	68	300	4	7	28%	8%	65	-1.2	214/302/264	50	297	2	18	26%	8%	68	-1.0	217/309/247	30	304	0	28	25%	8%	63	-0.4
✕Allen Córdoba 2014 · A	18	46→52	35→45	47→55	46	212/284/274	62	284	2	8	24%	8%	62	-1.4	226/272/291	65	283	3	13	20%	5%	60	-1.6	252/309/331	79	298	5	15	16%	6%	80	-0.1
✕Ivan Gonzalez 2015 · A	19	47	38→40	45→50	44	221/272/301	80	266	4	10	18%	5%	63	-1.4	219/270/297	78	290	4	12	24%	6%	61	-1.5	253/300/334	81	307	5	17	18%	5%	80	-0.1
✕Kelvin Fajardo 2014 · A	18	44	35→30	46→50	48	204/261/260	56	246	3	6	18%	7%	49	-2.4	222/278/270	48	270	1	6	17%	6%	57	-1.8	224/280/257	33	266	0	6	15%	6%	55	-0.7
✕Edinson Valdez 2017 · A	18	49	36→30	44→45	43	230/270/297	67	281	3	7	19%	5%	61	-1.5	210/247/275	65	280	3	6	25%	4%	47	-2.6	208/230/264	55	258	4	2	21%	2%	33	-0.7
✕Junior Lake 2008 · A	18	43→53	39→45	49→55	37	204/255/292	87	292	5	9	31%	5%	54	-2.0	205/245/294	89	309	6	10	34%	4%	51	-2.3	228/299/358	130	286	13	19	24%	8%	84	+0.1
✕Efrain Contreras 2006 · A	19	43	37→45	49→55	41	202/261/275	74	285	4	9	29%	6%	53	-2.1	224/289/333	109	269	10	13	20%	5%	77	-0.3	225/291/340	115	260	12	15	18%	5%	79	-0.1
✕Jorge Caballero 2018 · A	18	44	37→40	49→45	47	210/286/284	74	263	4	10	21%	7%	65	-1.2	216/286/282	66	325	3	7	31%	8%	64	-1.3	226/304/293	67	365	5	5	36%	9%	71	-0.4
✕Albert Hernandez 2008 · A	19	43	39→40	49→45	46	207/270/299	92	260	6	7	22%	7%	62	-1.4	226/286/317	91	285	6	7	22%	6%	72	-0.7	230/289/314	84	291	6	6	22%	6%	70	-0.2
✕Jose Paez 2013 · A	19	49	40→45	51→50	43	233/286/331	98	308	6	13	25%	6%	74	-0.5	210/256/293	83	314	4	11	32%	5%	55	-2.0	178/220/246	68	283	3	12	36%	4%	26	-1.1

Career Stats + Projections

Career Comps

Career Path Comps