Leury García — OGILVIE

Leury GarcíaOF Gigantes del Cibao

Age 35 S/R 5'8" / 190 lbs INTL BB -5% Svc 13.000 · Ctrl thru 2026 peak 0.5 · 2026

wRC+†88

AVG/OBP/SLG.239 / .297 / .372

PA219

HR5

SB5

K%26

BB%6

xwOBA.264

Barrel%4.2%

MLB%0%

Scouting · now → future

PWR

40→40

SPD

64→64

EYE

39→39

trajectory · 10 yrs

0.1peak

2026

Barrel%

194.2

xwOBA

120.264

Avg EV

2287.0

Whiff%

310.131

Chase%

100.411

Speed

7328.4

Contract

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

Status FA

MLB Debut 2013

Service 13.000 yrs.days

Team Control Through 2026

First FA Year 2027

Year	Status	Salary	Proj WAR	Value	Surplus
2026	Ext / FA-deal	$1M	+0.5	$2M	+$1M
Totals		$1M		$2M	+$1M

Career Projections (MLE)

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	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
2008	17	ROK	AZL Rangers	144	132	20	2	2	0	5	58	0	12	3	.152	.182	.197	.379	.045	.260	40	3	.166	-15	-19	+1	+0	+1	+4	-1.3
2009	18	A	Hickory Crawdads	308	283	58	5	3	1	11	84	4	19	6	.205	.245	.254	.499	.049	.286	27	4	.210	19	-28	+1	+0	+1	+9	-1.7
2010	19	A	2 teams	414	388	95	6	3	3	16	82	1	51	11	.245	.277	.299	.576	.054	.303	20	4	.247	47	-25	+6	+0	+1	+12	-0.6
2011	20	A+	2 teams	579	546	117	17	6	2	19	172	4	38	15	.214	.246	.278	.524	.064	.308	30	3	.230	34	-43	+2	+0	+2	+16	-2.3
2012	21	AA	2 teams	574	533	145	14	15	2	18	144	8	40	9	.272	.306	.366	.672	.094	.367	25	3	.285	76	-15	+4	+0	+2	+16	0.7
2013	22	AAA	3 teams	518	481	109	12	8	5	26	156	5	35	7	.227	.273	.316	.589	.089	.324	30	5	.253	52	-28	+4	+0	+2	+15	-0.7
2014	23	MLB	2 teams	277	260	41	5	0	2	9	86	0	20	4	.158	.186	.200	.386	.042	.224	31	3	.165	-15	-36	+2	-2	+1	+8	-2.7
2015	24	AAA	3 teams	538	502	139	23	2	3	19	118	4	37	13	.277	.309	.349	.657	.072	.354	22	4	.285	77	-14	+2	-0	+2	+15	0.5
2016	25	AAA	3 teams	532	497	142	13	8	9	21	114	5	28	11	.286	.321	.398	.720	.113	.353	21	4	.311	97	-2	+1	+0	+2	+15	1.7
2017	26	MLB	2 teams	390	361	96	17	2	11	16	83	8	11	6	.266	.312	.416	.727	.150	.316	21	4	.321	104	+2	-0	+3	+1	+11	1.7
2018	27	MLB	2 teams	290	272	74	9	4	4	10	73	3	12	1	.272	.305	.379	.684	.107	.357	25	3	.296	85	-5	+2	+3	-3	+8	0.5
2019	28	MLB	Chicago White Sox	618	577	161	27	4	8	21	139	6	15	5	.279	.311	.381	.693	.102	.353	22	3	.299	87	-9	+1	+1	+2	+18	1.3
2020	29	MLB	Chicago White Sox	63	59	15	1	0	3	4	9	0	0	0	.254	.302	.424	.725	.169	.255	14	6	.318	102	+0	+0	+1	+1	+2	0.4
2021	30	MLB	Chicago White Sox	474	415	109	23	2	4	41	97	4	6	2	.263	.335	.357	.691	.094	.329	20	9	.303	90	-5	+0	-2	+2	+13	0.9
2022	31	MLB	Chicago White Sox	315	300	64	8	0	3	7	65	3	2	0	.213	.239	.270	.509	.057	.260	21	2	.227	32	-24	+0	+1	+1	+9	-1.3
2023	32	INTL	Dominican Republic	115	101	32	5	2	0	10	19	1	8	1	.317	.384	.406	.790	.089	.386	17	9	—	—	—	—	+0	+0	—	—
2024	33	INTL	2 teams	276	250	68	12	2	2	15	62	5	14	0	.272	.326	.360	.686	.088	.347	22	5	.307	93	-2	+3	+0	+1	+8	1.0
2025	34	INTL	Gigantes del Cibao	116	102	22	4	0	1	13	25	0	5	3	.216	.304	.284	.589	.069	.273	22	11	—	—	—	—	+0	+0	—	—
▸ 2026 Season
2026	35	MLB	ATL	219	201	48	9	1	5	14	56	2	5	1	.239	.295	.368	.663	.129	.307	26	6	.300	88	-3	+1	-0	+1	+6	0.5
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	36	MLB 7%	ATL	154	141	33	6	1	3	10	41	2	3	1	.234	.294	.355	.649	.121	.304	27	6	.291	81	-3	+0	-6	+1	+4	-0.5
▸ Career Totals (MLE all levels + projections)
Career	—			6914	6401	1588	218	65	71	305	1683	65	361	99	.248	.289	.336	.625	.088	.324	24	4	.262	59	-324	+33	-1	+21	+196	-7.7
/ 162G	—			650	602	149	20	6	7	29	158	6	34	9	.248	.289	.336	.625	.088	.322	24	4	.262	59	-30	+3	-0	+2	+18	-0.7

Historical Stats — Raw (Per Stint)

Actual MLB + MiLB stats as they happened, one row per stint at each level. Use this to see what really got recorded; the table above shows MLB-equivalent translations + projections.

Year	Age	Lvl	Team	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
2008	17	ROK	AZL Rangers	144	129	27	3	3	0	8	40	0	12	3	.209	.255	.279	.535	.070	.293	28	6	.231	35	-11	+1	—	—	+4	-0.5
2009	18	A	Hickory Crawdads	308	276	64	6	3	1	18	64	4	19	6	.232	.289	.286	.575	.054	.297	21	6	.256	54	-16	+1	—	—	+9	-0.6
2010	19	A	Hickory Crawdads	392	359	94	5	4	3	23	57	1	47	9	.262	.308	.323	.631	.061	.303	15	6	.281	73	-12	+6	—	—	+11	0.5
2010	19	ROK	AZL Rangers	22	18	9	2	0	0	4	4	0	4	2	.500	.591	.611	1.202	.111	.643	18	18	.532	265	+4	+0	—	—	+1	0.5
2011	20	A+	Myrtle Beach Pelicans	482	442	113	19	5	3	28	100	4	30	12	.256	.306	.342	.648	.086	.324	21	6	.288	79	-11	+1	—	—	+14	0.3
2011	20	INTL	Gigantes del Cibao	97	91	32	6	2	3	4	15	0	8	3	.352	.379	.560	.939	.209	.392	15	4	.402	166	+7	+0	—	—	+3	1.1
2012	21	AA	Frisco RoughRiders	416	377	110	12	11	2	22	79	5	31	7	.292	.339	.398	.737	.106	.361	19	5	.320	103	+2	+3	—	—	+12	1.7
2012	21	INTL	Gigantes del Cibao	158	144	41	5	1	2	8	34	3	9	2	.285	.335	.375	.710	.090	.361	22	5	.315	100	-0	+1	—	—	+4	0.6
2013	22	MLB	Chicago White Sox	111	101	20	1	1	0	7	34	0	7	2	.198	.250	.228	.478	.030	.294	31	6	.217	24	-10	+1	+0	+2	+3	-0.4
2013	22	AAA	Charlotte Knights	240	223	59	9	4	4	15	61	1	15	4	.265	.314	.395	.708	.130	.348	25	6	.315	99	-0	+1	—	—	+7	0.8
2013	22	INTL	Dominican Republic	167	147	37	2	1	2	14	30	4	13	1	.252	.333	.320	.653	.068	.304	18	8	.299	87	-2	+2	—	—	+5	0.5
2014	23	MLB	Chicago White Sox	155	145	24	3	0	1	5	48	0	11	1	.166	.193	.207	.400	.041	.237	31	3	.178	-6	-19	+2	-2	+1	+4	-1.4
2014	23	INTL	Dominican Republic	122	102	38	6	1	0	17	14	0	9	3	.373	.462	.451	.913	.078	.427	11	14	.404	167	+9	+1	—	—	+3	1.4
2015	24	MLB	Chicago White Sox	15	14	3	0	0	0	1	7	0	1	0	.214	.267	.214	.481	.000	.429	47	7	.228	32	-1	+0	-0	+2	+0	0.1
2015	24	AAA	Charlotte Knights	385	349	104	19	3	3	20	66	4	30	12	.298	.343	.395	.739	.097	.357	17	5	.322	104	+2	+1	—	—	+11	1.4
2015	24	INTL	Dominican Republic	138	127	36	5	1	3	10	28	0	6	1	.283	.336	.409	.745	.126	.344	20	7	.331	112	+2	+1	—	—	+4	0.7
2016	25	MLB	Chicago White Sox	50	48	11	1	1	1	1	13	1	2	1	.229	.260	.354	.614	.125	.294	26	2	.273	67	-2	+0	+0	+2	+1	0.2
2016	25	AAA	Charlotte Knights	342	310	97	9	4	6	24	64	3	18	8	.313	.368	.426	.794	.113	.378	19	7	.351	127	+10	+0	—	—	+10	2.1
2016	25	INTL	Dominican Republic	140	120	30	5	3	0	15	21	1	8	2	.250	.338	.342	.680	.092	.297	15	11	.303	90	-2	+1	—	—	+4	0.3
2017	26	MLB	Chicago White Sox	326	300	81	15	2	9	13	69	8	8	5	.270	.318	.423	.741	.153	.321	21	4	.325	107	+3	-0	+3	+1	+9	1.6
2017	26	INTL	Gigantes del Cibao	64	61	20	2	0	3	3	10	0	3	1	.328	.359	.508	.868	.180	.354	16	5	.382	151	+4	+0	—	—	+2	0.6
2018	27	MLB	Chicago White Sox	275	258	70	7	4	4	9	69	3	12	1	.271	.304	.376	.680	.105	.355	25	3	.298	86	-4	+2	+3	-3	+8	0.6
2018	27	AAA	Charlotte Knights	15	14	6	3	0	0	1	3	0	0	0	.429	.467	.643	1.110	.214	.545	20	7	.484	229	+2	+0	—	—	+0	0.3
2019	28	MLB	Chicago White Sox	618	577	161	27	3	8	21	139	6	15	5	.279	.311	.378	.689	.099	.353	22	3	.302	89	-8	+1	+1	+2	+18	1.5
2020	29	MLB	Chicago White Sox	63	59	16	1	0	3	4	9	0	0	0	.271	.317	.441	.758	.169	.277	14	6	.336	115	+1	+0	+1	+1	+2	0.5
2021	30	MLB	Chicago White Sox	474	415	111	22	4	5	41	97	4	6	2	.267	.339	.376	.715	.108	.333	20	9	.314	99	-1	+0	-2	+2	+13	1.3
2022	31	MLB	Chicago White Sox	315	300	63	8	0	3	7	65	3	2	0	.210	.235	.267	.502	.057	.255	21	2	.224	30	-25	+0	+1	+1	+9	-1.4
2023	32	INTL	Dominican Republic	115	101	32	5	2	0	10	19	1	8	1	.317	.384	.406	.790	.089	.386	17	9	.348	124	+3	+1	—	—	+3	0.8
2024	33	AAA	Gwinnett Stripers	116	100	32	6	2	1	9	21	2	4	0	.320	.387	.450	.837	.130	.378	18	8	.358	132	+4	+1	—	—	+3	0.9
2024	33	INTL	Gigantes del Cibao	160	148	40	9	1	3	8	29	3	10	0	.270	.321	.405	.726	.135	.319	18	5	.323	105	+1	+2	—	—	+5	0.8
2025	34	INTL	Gigantes del Cibao	116	102	22	4	0	1	13	25	0	5	3	.216	.304	.284	.589	.069	.273	22	11	.273	67	-4	-0	—	—	+3	-0.1
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			2402	2217	560	85	15	34	109	550	25	64	17	.253	.295	.350	.646	.098	.319	23	5	.285	76	-65	+6	+6	+11	+68	2.6

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
Leury García (OGILVIE)	35	—	40	64	39	.239/.297/.372	.133	.307	5	5	26%	6%	88	+0.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Roger Bernadina 2019 · AAA	35	48→58	44→45	53→60	44	.230/.294/.352	.122	.309	11	19	28%	7%	81	+0.4	.251/.300/.380	.129	.315	14	10	24%	6%	91	+1.1	.289/.335/.400	.111	.359	13	4	22%	6%	105	+0.5
✕Pedro Swann 2007 · AAA	36	50→47	49→50	55→45	42	.251/.303/.407	.156	.308	15	12	24%	5%	99	+1.7	.236/.282/.365	.129	.301	12	10	25%	5%	79	+0.3	.222/.262/.331	.109	.284	11	6	25%	5%	61	-0.5
✕Curtis Pride 2005 · MLB	36	48	46→45	51→55	43	.239/.295/.372	.133	.300	13	12	24%	6%	87	+0.8	.242/.317/.378	.136	.327	12	18	27%	10%	97	+1.5	.234/.314/.359	.125	.326	11	21	29%	10%	89	+0.5
✕Andrew Romine 2021 · MLB	35	47→54	42→40	55	43	.232/.277/.333	.101	.283	10	19	22%	5%	69	-0.4	.238/.286/.329	.091	.307	8	10	24%	6%	71	-0.3	.247/.295/.310	.063	.326	3	3	24%	6%	65	-0.4
✕Chris Dickerson 2017 · MLB	35	52→55	45→50	54→60	45	.248/.313/.378	.129	.339	12	20	29%	8%	95	+1.4	.227/.305/.360	.133	.324	13	13	31%	9%	88	+0.9	.209/.303/.334	.125	.305	12	11	32%	10%	77	+0.1
✕Grégor Blanco 2019 · MLB	35	47→57	41→45	56→60	50	.226/.294/.329	.104	.292	8	18	24%	9%	75	-0.0	.218/.284/.350	.132	.279	14	14	26%	8%	76	+0.1	.200/.272/.336	.136	.248	17	13	26%	9%	67	-0.4
✕Ryan LaMarre 2023 · MLB	34	50→52	47→45	52→60	44	.242/.319/.380	.139	.327	14	21	29%	7%	100	+1.7	.222/.294/.354	.132	.316	14	20	32%	7%	82	+0.5	.149/.229/.250	.102	.226	13	33	38%	7%	26	-0.6
✕Eric Young Jr. 2019 · MLB	34	50→60	42→45	56→65	44	.241/.293/.348	.107	.299	9	25	22%	6%	79	+0.3	.231/.287/.343	.112	.291	9	17	23%	6%	75	-0.0	.219/.282/.316	.096	.274	7	15	22%	7%	65	-0.3
✕James Adduci 2019 · MLB	34	51→59	44→45	52→60	41	.249/.289/.374	.125	.323	11	12	26%	6%	84	+0.6	.239/.276/.364	.125	.315	13	12	27%	5%	76	+0.0	.231/.263/.346	.114	.309	13	12	29%	4%	63	-0.6
✕Vinny Rottino 2015 · MLB	35	48→57	46→45	51→55	46	.236/.285/.366	.130	.269	13	17	18%	6%	80	+0.4	.219/.283/.317	.098	.282	9	4	24%	7%	67	-0.5	.210/.279/.293	.083	.270	8	1	24%	8%	57	-0.8
✕Maxwell Leon 2019 · AAA	35	48→56	42→50	49→50	42	.233/.287/.336	.103	.300	9	10	25%	6%	73	-0.1	.261/.331/.408	.147	.306	16	15	20%	7%	111	+2.5	.286/.368/.445	.159	.327	18	17	17%	8%	131	+1.9
✕Tim Torres 2017 · AAA	33	52→50	46→45	55	46	.253/.311/.387	.134	.331	13	19	27%	8%	97	+1.5	.250/.316/.389	.139	.331	15	18	27%	9%	100	+1.7	.257/.343/.392	.136	.345	16	20	28%	12%	115	+0.8
✕Jerry Owens 2016 · AAA	35	53→63	42→40	57→65	48	.253/.309/.362	.109	.311	8	22	21%	7%	89	+0.9	.262/.306/.358	.096	.307	8	15	16%	5%	86	+0.8	.345/.375/.385	.040	.389	0	14	11%	4%	117	+0.5
✕Willy Taveras 2017 · AAA	35	51→61	42→45	58→65	43	.248/.299/.359	.111	.297	9	25	20%	5%	84	+0.6	.253/.305/.375	.122	.308	12	20	21%	4%	92	+1.2	.261/.315/.385	.124	.320	13	22	22%	4%	95	+1.1
✕Nyjer Morgan 2016 · MLB	36	47→57	45→40	53→65	47	.233/.293/.358	.125	.285	13	15	23%	8%	82	+0.5	.241/.307/.372	.131	.278	13	21	18%	7%	92	+1.2	.242/.311/.368	.126	.276	13	26	17%	7%	90	+0.8
●Jolbert Cabrera 2007 · MLB	34	51	45→50	51→50	45	.253/.305/.379	.126	.294	12	14	19%	5%	92	+1.2	.238/.285/.367	.129	.281	11	8	19%	4%	81	+0.4	.267/.303/.405	.139	.314	14	9	19%	4%	97	+1.0
✕David Newhan 2009 · MLB	35	50→60	48→50	53→55	45	.253/.301/.402	.149	.296	15	15	20%	6%	96	+1.5	.242/.289/.367	.125	.298	11	10	22%	6%	82	+0.5	.241/.288/.345	.104	.302	8	5	22%	6%	76	+0.0
✕Calvin Murray 2005 · MLB	34	44→54	45→40	54→50	50	.219/.288/.346	.127	.256	12	14	19%	8%	77	+0.1	.251/.317/.351	.100	.296	7	14	17%	7%	90	+1.0	.258/.324/.345	.087	.307	4	16	16%	7%	89	+0.9
✕Justin Christian 2015 · MLB	35	50→57	42→45	52→65	47	.241/.292/.353	.112	.270	8	16	14%	6%	80	+0.4	.231/.284/.342	.111	.265	10	16	16%	6%	74	-0.1	.222/.278/.300	.077	.251	8	21	14%	6%	56	-0.4
✕Yuniesky Betancourt 2017 · AAA	35	46→56	44→50	50	43	.227/.273/.342	.115	.269	11	12	20%	5%	69	-0.4	.229/.260/.311	.082	.254	7	7	13%	4%	54	-1.4	.238/.258/.278	.039	.258	3	0	9%	2%	43	-0.8

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)