Avisaíl García

Avisaíl GarcíaRF Miami Marlins

Age 35 R/R 6'4" / 250 lbs MLB HR -4%BB +3% Svc 14.000 · Ctrl thru 2026 peak 0.3 · 2026

wRC+†103

AVG/OBP/SLG.239 / .301 / .419

PA179

HR7

K%31

BB%7

MLB%100%

Scouting · now → future

PWR

50→50

SPD

60→60

EYE

30→30

Contract

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

Status FA

MLB Debut 2012

Service 14.000 yrs.days

Team Control Through 2026

First FA Year 2027

Year	Status	Salary	Proj WAR	Value	Surplus
2026	Ext / FA-deal	$1M	+0.3	$1M	-$0.1M
Totals		$1M		$1M	-$0.1M

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	VSL Tigers	263	251	56	8	1	5	9	56	2	7	5	.223	.256	.323	.578	.100	.267	21	3	.256	54	-14	-1	+0	-3	+7	-1.0
2009	18	A	West Michigan Whitecaps	315	301	72	9	2	1	6	89	4	8	7	.239	.264	.292	.556	.053	.330	28	2	.237	40	-22	-1	+0	-3	+9	-1.8
2010	19	A	West Michigan Whitecaps	524	499	115	12	3	3	15	148	5	20	4	.230	.260	.285	.545	.054	.317	28	3	.240	42	-34	+2	+0	-6	+15	-2.3
2011	20	A+	Lakeland Flying Tigers	515	494	102	14	2	8	12	198	6	14	5	.206	.234	.291	.526	.085	.323	38	2	.233	37	-37	+1	+0	-6	+15	-2.8
2012	21	A+	4 teams	620	587	153	16	6	11	17	157	11	24	11	.261	.294	.365	.659	.104	.335	25	3	.285	76	-17	+0	-1	-7	+18	-0.6
2013	22	MLB	3 teams	472	446	139	13	7	13	21	103	3	9	5	.312	.347	.460	.806	.148	.380	22	4	.345	122	+12	-0	-7	-5	+13	1.3
2014	23	MLB	3 teams	385	350	89	17	0	13	23	101	6	8	2	.254	.311	.414	.726	.160	.314	26	6	.304	91	-4	+1	-6	-4	+11	-0.2
2015	24	MLB	Chicago White Sox	601	553	141	18	2	12	36	141	8	7	7	.255	.310	.360	.670	.105	.319	23	6	.290	80	-13	-1	-6	-6	+17	-1.1
2016	25	MLB	2 teams	589	534	131	23	2	16	44	150	9	6	5	.245	.313	.386	.699	.140	.311	25	7	.306	92	-5	-1	-2	-6	+17	0.3
2017	26	MLB	Chicago White Sox	561	518	171	26	5	18	33	111	9	5	3	.330	.380	.504	.884	.174	.392	20	6	.380	149	+31	-0	-2	-6	+16	4.0
2018	27	MLB	2 teams	413	382	89	13	2	20	22	113	4	3	1	.233	.282	.435	.716	.202	.272	27	5	.308	94	-3	+0	+1	-4	+12	0.6
2019	28	MLB	Tampa Bay Rays	530	489	140	26	2	21	31	125	7	10	4	.286	.338	.476	.814	.190	.344	24	6	.349	125	+15	+0	-1	-6	+15	2.4
2020	29	MLB	Milwaukee Brewers	207	181	43	10	0	2	20	49	6	1	3	.238	.333	.326	.659	.088	.315	24	10	.298	86	-3	-1	+1	+1	+6	0.4
2021	30	MLB	Milwaukee Brewers	515	461	124	19	0	29	38	121	11	8	4	.269	.339	.499	.838	.230	.301	23	7	.350	126	+15	+0	-3	-6	+15	2.2
2022	31	MLB	2 teams	414	386	88	12	0	8	21	123	4	6	0	.228	.275	.321	.596	.093	.310	30	5	.261	58	-20	+1	-3	-4	+12	-1.4
2023	32	MLB	3 teams	171	157	28	6	1	6	11	58	3	2	0	.178	.246	.344	.590	.166	.237	34	6	.253	52	-9	+0	-0	-2	+5	-0.6
2024	33	MLB	2 teams	72	70	14	1	1	2	2	21	0	0	0	.200	.222	.329	.551	.129	.255	29	3	.242	44	-5	+0	+0	-1	+2	-0.3
▸ 2026 Season
2026	35	MLB	MIA	179	163	40	7	1	7	12	55	2	3	1	.245	.305	.429	.735	.184	.316	31	7	.319	103	+1	+0	-1	-2	+5	0.3
▸ Career Totals (MLE all levels + projections)
Career	—			7346	6822	1735	250	37	195	373	1919	100	141	67	.254	.303	.388	.690	.133	.324	26	5	.298	87	-111	+1	-28	-76	+208	-0.5
/ 162G	—			650	604	153	22	3	17	33	170	9	12	6	.253	.302	.384	.686	.131	.323	26	5	.298	87	-10	+0	-2	-7	+18	-0.1

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	VSL Tigers	263	245	73	12	2	7	15	39	2	7	5	.298	.344	.449	.792	.151	.330	15	6	.351	126	+8	-1	—	—	+7	1.5
2009	18	A	West Michigan Whitecaps	315	299	79	11	2	1	8	70	4	8	7	.264	.293	.324	.617	.060	.336	22	3	.275	69	-11	-1	—	—	+9	-0.3
2010	19	A	West Michigan Whitecaps	524	494	139	17	4	4	20	113	5	20	4	.281	.316	.356	.672	.075	.353	22	4	.300	88	-7	+2	—	—	+15	1.0
2011	20	A+	Lakeland Flying Tigers	515	488	129	16	6	11	18	132	6	14	5	.264	.299	.389	.688	.125	.339	26	3	.305	91	-5	+1	—	—	+15	1.1
2012	21	MLB	Detroit Tigers	51	47	15	0	0	0	3	10	1	0	2	.319	.373	.319	.692	.000	.405	20	6	.322	104	+0	-1	-1	-7	+1	-0.7
2012	21	AA	Erie SeaWolves	226	215	67	9	3	6	7	38	4	9	4	.312	.345	.465	.810	.153	.357	17	3	.359	133	+8	+0	—	—	+6	1.5
2012	21	A+	Lakeland Flying Tigers	283	262	74	7	5	8	11	57	5	14	4	.282	.324	.439	.763	.156	.327	20	4	.332	112	+4	+1	—	—	+8	1.3
2012	21	INTL	Caribes de Anzoategui	60	54	10	2	0	0	5	15	1	1	1	.185	.267	.222	.489	.037	.256	25	8	.234	37	-4	-0	—	—	+2	-0.3
2013	22	MLB	Chicago White Sox	256	244	69	7	3	7	9	59	1	3	3	.283	.311	.422	.733	.139	.344	23	4	.322	105	+1	-1	-7	-5	+7	-0.4
2013	22	AAA	Charlotte Knights	188	174	65	7	2	6	12	36	2	4	2	.374	.420	.540	.960	.167	.447	19	6	.424	183	+18	+0	—	—	+5	2.3
2013	22	A+	Lakeland Flying Tigers	28	24	10	0	2	1	4	1	0	2	0	.417	.500	.708	1.208	.292	.409	4	14	.516	253	+5	+0	—	—	+1	0.6
2014	23	MLB	Chicago White Sox	190	172	42	8	0	7	14	44	2	4	1	.244	.309	.413	.721	.169	.285	23	7	.318	102	+0	+0	-6	-4	+5	-0.4
2014	23	AAA	Charlotte Knights	53	50	17	3	0	1	1	16	2	0	0	.340	.377	.460	.837	.120	.485	30	2	.375	145	+3	+0	—	—	+2	0.4
2014	23	INTL	Tigres de Aragua	142	125	39	8	2	5	11	34	2	4	1	.312	.377	.528	.905	.216	.378	24	8	.386	153	+9	+0	—	—	+4	1.3
2015	24	MLB	Chicago White Sox	601	553	142	17	2	13	36	141	8	7	7	.257	.312	.365	.677	.108	.320	23	6	.304	91	-6	-1	-6	-6	+17	-0.3
2016	25	MLB	Chicago White Sox	453	413	101	18	2	12	34	115	4	4	4	.245	.308	.385	.693	.140	.309	25	8	.310	95	-2	-1	-2	-6	+13	0.2
2016	25	INTL	Tigres de Aragua	136	113	33	6	0	5	18	25	5	2	1	.292	.412	.478	.890	.186	.337	18	13	.399	163	+10	+0	—	—	+4	1.4
2017	26	MLB	Chicago White Sox	561	518	171	27	5	18	33	111	9	5	3	.330	.380	.506	.886	.176	.392	20	6	.391	157	+36	-0	-2	-6	+16	4.5
2018	27	MLB	Chicago White Sox	385	356	84	11	2	19	20	102	4	3	1	.236	.284	.438	.722	.202	.271	26	5	.314	98	-1	+0	+1	-4	+11	0.7
2018	27	AAA	Charlotte Knights	28	25	9	3	0	3	3	9	0	0	0	.360	.429	.840	1.269	.480	.462	32	11	.532	265	+5	+0	—	—	+1	0.6
2019	28	MLB	Tampa Bay Rays	530	489	138	25	2	20	31	125	7	10	4	.282	.334	.464	.798	.182	.340	24	6	.351	127	+16	+0	-1	-6	+15	2.5
2020	29	MLB	Milwaukee Brewers	207	181	43	10	0	2	20	49	6	1	3	.238	.333	.326	.659	.088	.315	24	10	.306	93	-2	-1	+1	+1	+6	0.5
2021	30	MLB	Milwaukee Brewers	515	461	121	18	0	29	38	121	11	8	4	.262	.333	.490	.824	.228	.291	23	7	.359	133	+19	+0	-3	-6	+15	2.6
2022	31	MLB	Miami Marlins	380	357	80	9	0	8	17	109	4	4	0	.224	.267	.317	.584	.092	.298	29	4	.263	60	-17	+1	-3	-4	+11	-1.3
2022	31	AAA	Jacksonville Jumbo Shrimp	34	28	7	2	0	0	5	11	0	2	0	.250	.364	.321	.685	.071	.389	32	15	.311	96	-0	+0	—	—	+1	0.1
2023	32	MLB	Miami Marlins	118	108	20	3	1	3	6	39	2	2	0	.185	.237	.315	.552	.130	.258	33	5	.247	47	-7	+0	-0	-2	+3	-0.5
2023	32	AAA	Jacksonville Jumbo Shrimp	32	27	7	2	0	3	5	11	0	0	0	.259	.375	.667	1.042	.407	.308	34	16	.441	196	+3	+0	—	—	+1	0.4
2023	32	AA	Pensacola Blue Wahoos	21	17	3	1	0	1	3	5	1	0	0	.176	.333	.412	.745	.235	.182	24	14	.338	117	+0	+0	—	—	+1	0.1
2024	33	MLB	Miami Marlins	51	50	12	1	0	2	1	13	0	0	0	.240	.255	.380	.635	.140	.286	25	2	.280	73	-2	+0	+0	-1	+1	-0.1
2024	33	AAA	Jacksonville Jumbo Shrimp	21	19	2	0	1	0	2	7	0	0	0	.105	.190	.211	.401	.105	.167	33	10	.186	1	-2	+0	—	—	+1	-0.2
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			4298	3949	1038	154	17	140	262	1038	59	51	32	.263	.318	.417	.735	.154	.321	24	6	.326	108	+37	-3	-27	-57	+122	7.4

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
Avisaíl García (OGILVIE)	35	—	50	60	30	.239/.301/.419	.179	.316	7	3	31%	7%	103	+0.6	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Nick Hundley 2019 · MLB	35	48→45	53→55	46→40	44	.247/.297/.424	.177	.303	20	4	25%	7%	102	+1.8	.227/.279/.384	.157	.303	18	6	30%	6%	83	+0.6	.167/.203/.288	.122	.239	14	0	36%	4%	25	-0.8
●Randy Ruiz 2013 · MLB	35	47→56	55→60	50→40	39	.246/.293/.425	.179	.319	24	10	31%	6%	100	+1.7	.258/.301/.422	.164	.333	22	5	28%	5%	102	+1.9	.258/.298/.407	.149	.333	21	2	28%	4%	93	+0.5
✕Brad Snyder 2017 · MLB	35	46→54	57→60	50	41	.238/.293/.426	.188	.325	26	8	34%	7%	101	+1.8	.241/.300/.428	.187	.315	24	6	30%	8%	104	+2.0	.229/.294/.434	.205	.292	26	0	30%	8%	100	+0.8
✕Chris Richard 2009 · AAA	35	46→53	54→60	49→50	44	.238/.306/.422	.183	.294	21	8	26%	7%	105	+2.1	.232/.298/.412	.180	.281	22	5	25%	7%	99	+1.7	.222/.292/.398	.177	.261	22	1	24%	8%	90	+0.8
●Darin Ruf 2021 · MLB	35	51→53	55→60	50→40	54	.260/.342/.453	.193	.308	22	10	23%	11%	128	+3.6	.247/.347/.442	.195	.314	24	6	27%	13%	127	+3.6	.227/.336/.401	.174	.292	22	3	28%	13%	105	+0.9
✕Darnell McDonald 2012 · MLB	33	51→56	51→55	50→55	46	.255/.309/.424	.170	.304	17	12	22%	7%	106	+2.2	.216/.280/.340	.124	.264	12	10	22%	8%	72	-0.2	.195/.258/.288	.093	.243	8	9	22%	7%	47	-1.0
✕Justin Ruggiano 2017 · MLB	35	46→56	50→55	44→55	44	.230/.299/.386	.156	.316	18	11	32%	8%	92	+1.2	.227/.279/.381	.154	.295	18	9	29%	6%	82	+0.5	.225/.261/.379	.153	.275	19	5	26%	3%	71	-0.1
✕So Taguchi 2004 · MLB	35	49→58	53→45	52→50	51	.255/.318/.433	.178	.281	21	10	18%	8%	112	+2.6	.265/.316/.394	.129	.295	12	15	14%	6%	100	+1.7	.276/.331/.372	.096	.310	7	15	13%	7%	98	+1.0
✕Kevin Pillar 2023 · MLB	34	47→57	55	48→55	44	.246/.300/.432	.186	.274	23	9	20%	6%	105	+2.1	.232/.281/.400	.168	.269	21	14	22%	5%	89	+0.9	.223/.271/.382	.159	.261	19	18	23%	4%	78	+0.1
✕Mark Little 2006 · MLB	34	44	52→55	52→55	40	.227/.298/.393	.166	.296	20	19	30%	6%	95	+1.4	.232/.315/.357	.125	.319	12	15	29%	6%	92	+1.2	.233/.334/.324	.091	.343	4	13	29%	7%	89	+0.5
✕Steven Souza Jr. 2022 · MLB	33	43→53	53→60	53→55	44	.217/.299/.394	.177	.315	20	10	36%	9%	95	+1.4	.222/.301/.384	.162	.319	19	12	34%	9%	93	+1.3	.193/.291/.342	.149	.276	19	13	35%	11%	76	+0.0
✕Yadiel Hernandez 2022 · MLB	34	49→56	56→55	45	46	.259/.315/.443	.184	.308	25	7	25%	8%	114	+2.7	.255/.302/.397	.142	.316	17	7	24%	6%	96	+1.5	.272/.317/.409	.136	.334	16	4	23%	6%	104	+1.1
✕Miguel Olivo 2012 · MLB	34	45→52	53→60	46→50	39	.238/.279/.410	.172	.297	22	9	28%	5%	90	+1.0	.239/.272/.410	.171	.298	23	7	28%	4%	88	+0.9	.247/.281/.410	.163	.321	20	9	29%	4%	87	+0.5
✕Corey Hart 2015 · MLB	33	46→56	52→60	52→55	46	.236/.300/.406	.170	.280	20	6	24%	7%	98	+1.6	.220/.274/.367	.147	.283	18	7	28%	6%	77	+0.1	.182/.203/.311	.129	.250	22	0	37%	2%	24	-0.6
✕Emmanuel Valdez 2014 · AAA	35	44→53	53→55	47→40	44	.227/.299/.400	.172	.308	22	4	32%	8%	96	+1.5	.221/.303/.384	.163	.305	20	6	32%	9%	94	+1.3	.208/.298/.346	.139	.283	18	4	31%	10%	81	+0.2
✕Pedro Swann 2006 · MLB	35	47	50	53→45	40	.238/.290/.398	.161	.288	18	7	24%	5%	92	+1.2	.244/.293/.386	.142	.306	14	11	24%	5%	89	+1.0	.248/.295/.380	.131	.315	11	12	24%	5%	88	+0.5
✕Mike Coolbaugh 2006 · AAA	34	43→41	53→55	53→50	42	.228/.277/.396	.168	.276	21	10	26%	6%	86	+0.8	.217/.283/.361	.144	.272	17	9	26%	7%	79	+0.3	.182/.274/.295	.113	.227	14	4	26%	10%	56	-0.6
✕Cody Ransom 2011 · MLB	35	42→41	53→55	48→50	44	.221/.281/.393	.172	.275	20	8	28%	7%	87	+0.8	.220/.290/.402	.182	.297	22	8	32%	8%	93	+1.3	.209/.290/.400	.192	.287	24	6	34%	10%	89	+0.5
✕Hiram Bocachica 2011 · AAA	35	48	50→55	49→55	46	.243/.308/.402	.158	.282	18	12	21%	7%	100	+1.7	.226/.302/.399	.173	.268	20	18	23%	8%	98	+1.6	.197/.289/.387	.191	.223	22	24	23%	10%	88	+0.4
✕Fernando Tatis 2009 · MLB	34	48→54	52→55	47→45	49	.248/.314/.415	.168	.287	19	7	21%	8%	106	+2.2	.253/.316/.417	.164	.290	17	7	19%	7%	107	+2.2	.276/.335/.428	.152	.308	13	6	14%	6%	111	+1.6

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)