Willy García

PosLF

B/TR/R

Born1992-09-04

Age (2027)34

No MLB projection yet. Career stats below are historical.

Overview

INTLLAST SEASON 2020

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	wRC+	WAR
2018	25	INTLTiburones de …	33	.143/.273/.250	1	56	—
2019	26	INTLYaquis de Obr…	136	.234/.279/.352	3	78	—
2020	27	INTLPanama	19	.125/.263/.125	0	25	—

Contract

No contract data on file.

Scouting grades · 20-80

Power40Speed59Eye59

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. 2027 = full-season projection (no games played yet). 2028+ 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)
2010	17	ROK	DSL Pirates	—	198	168	42	11	0	1	14	29	9	8	5	250	340	333	674	83	289	15	7	302	26	—	—	—	—	—	—
2011	18	ROK	GCL Pirates	—	201	177	47	9	4	5	11	49	6	7	5	266	330	446	776	181	331	24	5	332	47	—	—	—	—	—	—
2012	19	A	West Virginia Power	—	497	459	110	17	2	18	32	131	0	10	8	240	289	403	692	163	292	26	6	304	52	—	—	—	—	—	—
2013	20	A+	Bradenton Marauders	—	480	449	115	21	6	16	23	154	2	13	6	256	295	437	732	180	351	32	5	318	36	—	—	—	—	—	—
2014	21	AA	Altoona Curve	—	474	439	119	27	5	18	24	145	3	8	4	271	313	478	792	207	361	31	5	341	86	—	—	—	—	—	—
2014	21	INTL	Dominican Republic	—	156	145	40	14	0	5	10	37	0	1	0	276	323	476	798	200	337	24	6	348	122	—	—	—	—	—	—
2015	22	AAA	Indianapolis Indians	—	291	276	68	11	4	10	12	76	3	1	4	246	285	424	709	178	305	26	4	312	70	—	—	—	—	—	—
2015	22	AA	Altoona Curve	—	224	204	64	7	2	5	11	47	3	3	2	314	358	441	799	127	381	21	5	347	108	—	—	—	—	—	—
2015	22	INTL	Aguilas Cibaenas	—	53	50	8	1	0	0	2	15	0	3	0	160	192	180	372	20	222	28	4	170	1	—	—	—	—	—	—
2016	23	AAA	Indianapolis Indians	—	499	462	113	30	4	6	31	131	2	5	9	245	295	366	661	121	326	26	6	294	63	—	—	—	—	—	—
2016	23	INTL	Estrellas Orientales	—	65	56	10	1	0	0	7	19	0	1	0	179	270	196	466	18	263	29	11	220	35	—	—	—	—	—	—
2017	24	MLB	Chicago White Sox	—	119	105	25	5	3	2	11	31	0	0	0	238	310	400	710	162	311	26	9	308	94	-1	+0	-1	-4	+3	-0.3
2017	24	AAA	Charlotte Knights	—	134	112	32	6	0	5	18	38	3	1	0	286	398	473	872	188	386	28	13	387	96	—	—	—	—	—	—
2017	24	INTL	Leones del Escogido	—	92	87	25	2	0	1	5	18	0	0	1	287	326	345	671	57	353	20	5	305	92	—	—	—	—	—	—
2018	25	INTL	Tiburones de La Guaira	—	33	28	4	0	0	1	5	14	0	0	0	143	273	250	523	107	231	42	15	251	56	—	—	—	—	—	—
2019	26	INTL	Yaquis de Obregon	—	136	128	30	2	2	3	6	37	2	0	1	234	279	352	631	117	307	27	4	283	78	—	—	—	—	—	—
2020	27	INTL	Panama	—	19	16	2	0	0	0	3	6	0	0	0	125	263	125	388		200	32	16	205	25	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	119	105	25	5	3	2	11	31	0	0	0	238	310	400	710	162	311	26	9	308	95	-1	+0	-1	-4	+3	-0.3
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2010	17	ROK MLE	DSL Pirates	—	198	172	29	7	0	0	10	35	9	8	5	169	251	209	461	41	191	18	5	207	26	—	—	—	—	—	—
2011	18	ROK MLE	GCL Pirates	—	201	181	35	6	3	4	7	71	6	7	5	193	247	326	573	133	260	35	3	237	47	—	—	—	—	—	—
2012	19	A MLE	West Virginia Power	—	497	468	93	13	2	15	23	169	0	10	8	199	236	331	567	132	265	34	5	245	52	—	—	—	—	—	—
2013	20	A+ MLE	Bradenton Marauders	—	480	456	83	16	4	10	16	220	2	13	6	182	213	300	514	118	311	46	3	221	36	—	—	—	—	—	—
2014	21	AA MLE	Altoona Curve	—	474	448	110	23	4	17	15	179	3	8	4	246	275	429	703	183	351	38	3	295	86	—	—	—	—	—	—
2015	22	AAA MLE	Indianapolis Indians	—	291	280	62	9	4	10	8	93	3	1	4	221	251	389	640	168	295	32	3	272	70	—	—	—	—	—	—
2015	22	AA MLE	Altoona Curve	—	224	209	65	7	2	4	6	57	3	3	2	311	339	421	761	110	385	25	3	328	108	—	—	—	—	—	—
2016	23	AAA MLE	Indianapolis Indians	—	499	473	108	26	5	5	20	155	2	5	9	228	263	336	599	108	322	31	4	262	63	—	—	—	—	—	—
2017	24	MLB MLE	Chicago White Sox	—	119	105	25	5	3	2	11	31	0	0	0	238	310	400	710	162	311	26	9	307	94	-1	+0	-1	-4	+3	-0.3
2017	24	AAA MLE	Charlotte Knights	—	134	117	28	5	0	4	13	48	3	1	0	239	331	385	715	145	356	36	10	310	96	—	—	—	—	—	—
2010	17	ROK MLE	DSL Pirates	—	198	172	29	7	0	0	10	35	9	8	5	169	251	209	461	41	206	18	5	207	26	—	—	—	—	—	—
2010	17	ROK RAW	DSL Pirates	—	198	168	42	11	0	1	14	29	9	8	5	250	340	333	674	83	289	15	7	302	26	—	—	—	—	—	—
2011	18	ROK MLE	GCL Pirates	—	201	181	35	6	3	4	7	71	6	7	5	193	247	326	573	133	282	35	3	237	47	—	—	—	—	—	—
2011	18	ROK RAW	GCL Pirates	—	201	177	47	9	4	5	11	49	6	7	5	266	330	446	776	181	331	24	5	332	47	—	—	—	—	—	—
2012	19	A MLE	West Virginia Power	—	497	468	93	13	2	15	23	169	0	10	8	199	236	331	567	132	270	34	5	245	52	—	—	—	—	—	—
2012	19	A RAW	West Virginia Power	—	497	459	110	17	2	18	32	131	0	10	8	240	289	403	692	163	292	26	6	304	52	—	—	—	—	—	—
2013	20	A+ MLE	Bradenton Marauders	—	480	456	83	16	4	10	16	220	2	13	6	182	213	300	514	118	319	46	3	221	36	—	—	—	—	—	—
2013	20	A+ RAW	Bradenton Marauders	—	480	449	115	21	6	16	23	154	2	13	6	256	295	437	732	180	351	32	5	318	36	—	—	—	—	—	—
2014	21	AA MLE	2 teams	—	630	598	145	30	5	22	20	238	3	9	4	242	271	420	690	177	359	38	3	295	86	—	—	—	—	—	—
2014	21	AA RAW	2 teams	—	630	584	159	41	5	23	34	182	3	9	4	272	316	478	793	205	354	29	5	343	86	—	—	—	—	—	—
2015	22	AAA MLE	3 teams	—	568	539	140	17	6	16	16	166	6	7	6	260	289	403	691	143	343	29	3	296	87	—	—	—	—	—	—
2015	22	AAA RAW	3 teams	—	568	530	140	19	6	15	25	138	6	7	6	264	305	408	712	143	328	24	4	313	87	—	—	—	—	—	—
2016	23	AAA MLE	2 teams	—	564	533	122	30	5	6	23	175	2	6	9	229	263	338	601	109	326	31	4	262	63	—	—	—	—	—	—
2016	23	AAA RAW	2 teams	—	564	518	123	31	4	6	38	150	2	6	9	237	292	347	640	110	320	27	7	285	63	—	—	—	—	—	—
2017	24	AAA MLE	3 teams	—	345	306	72	14	4	8	32	108	3	1	1	235	314	386	699	150	332	31	9	309	95	—	—	—	—	—	—
2017	24	AAA RAW	3 teams	—	345	304	82	13	3	8	34	87	3	1	1	270	349	411	760	141	349	25	10	338	95	—	—	—	—	—	—
2018	25	INTL MLE	Tiburones de La Guaira	—	33	28	4	0	0	1	5	14	0	0	0	143	273	250	523	107	231	42	15	—	—	—	—	—	—	—	—
2018	25	INTL RAW	Tiburones de La Guaira	—	33	28	4	0	0	1	5	14	0	0	0	143	273	250	523	107	231	42	15	251	56	—	—	—	—	—	—
2019	26	INTL MLE	Yaquis de Obregon	—	136	128	30	2	2	3	6	37	2	0	1	234	279	352	631	117	307	27	4	—	—	—	—	—	—	—	—
2019	26	INTL RAW	Yaquis de Obregon	—	136	128	30	2	2	3	6	37	2	0	1	234	279	352	631	117	307	27	4	283	78	—	—	—	—	—	—
2020	27	INTL MLE	Panama	—	19	16	2	0	0	0	3	6	0	0	0	125	263	125	388		200	32	16	—	—	—	—	—	—	—	—
2020	27	INTL RAW	Panama	—	19	16	2	0	0	0	3	6	0	0	0	125	263	125	388		200	32	16	205	25	—	—	—	—	—	—
2010	17	ROK MLE	DSL Pirates	—	198	177	29	7	0	0	10	35	9	8	5	164	251	203	455	40	191	18	5	207	26	—	—	—	—	—	—
2011	18	ROK MLE	GCL Pirates	—	201	186	35	6	3	4	7	71	6	7	5	188	247	317	565	129	260	35	3	237	47	—	—	—	—	—	—
2012	19	A MLE	West Virginia Power	—	497	471	93	13	2	15	23	169	0	10	8	197	236	329	565	132	265	34	5	245	52	—	—	—	—	—	—
2013	20	A+ MLE	Bradenton Marauders	—	480	459	83	16	4	10	16	220	2	13	6	181	213	298	512	118	311	46	3	221	36	—	—	—	—	—	—
2014	21	AA MLE	2 teams	—	630	602	145	30	5	22	20	238	3	9	4	241	271	417	687	176	351	38	3	295	86	—	—	—	—	—	—
2015	22	AAA MLE	3 teams	—	568	541	140	17	6	16	16	166	6	7	6	259	289	401	690	142	334	29	3	296	87	—	—	—	—	—	—
2016	23	AAA MLE	2 teams	—	564	534	122	30	5	6	23	175	2	6	9	228	263	337	601	109	322	31	4	262	63	—	—	—	—	—	—
2017	24	AAA MLE	3 teams	—	345	307	72	14	4	8	32	108	3	1	1	235	314	384	698	150	335	31	9	309	95	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	119	105	25	5	3	2	11	31	0	0	0	238	310	400	710	162	311	26	9	308	57	-1	+0	-1	-4	+3	-0.3
/ 162G	—	A+C		—	650	574	136	27	16	11	60	169	0	0	0	237	309	397	706	160	309	26	9	308	57	-4	+0	-4	-20	+14	-1.4
Career	—	MLE		—	3671	3425	755	135	31	85	161	1239	33	61	45	220	262	352	615	132	314	34	4	252	57	-1	+0	-1	-4	+3	-0.3
/ 162G	—	MLE		—	650	606	133	24	5	15	29	219	6	11	8	219	263	350	612	130	312	34	4	252	57	-4	+0	-4	-20	+14	-1.4

How the minor-league lines were translated

One row per minor-league stint. Open a row to see each step: the raw rate, the park adjustment, the league/level factor, the age adjustment (hitters) and the resulting MLE rate. Factors are the same ones listed on the MLE Factors page.

2017 AAACharlotte Knights · 134 PAwOBA .380 → .310 (−70)K% 28.4% → 35.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	28.36%	÷0.952	×1.200	—	—	35.76%
BB% (unintentional) /PA	13.43%	÷1.008	×0.690	—	×1.033	9.50%
HBP% /PA	2.24%	—	×0.940	—	×1.033	2.17%
Singles /BIP	28.38%	÷1.012	×0.930	×1.004	×1.033	27.05%
Doubles /BIP	8.11%	÷0.958	×0.830	×1.004	×1.033	7.29%
Triples /BIP	0.00%	÷1.077	×0.970	×1.004	×1.033	0.00%
Home runs /BIP	6.76%	÷1.150	×0.840	—	×1.033	5.10%

Factors used: league row IL. Park (home-season share, regressed): HR 130, 1B 102, 2B 92, 3B 115, K 90, BB 102 — applied at half strength. Age: age 25 vs a level average of 27.2 → +3.3% on BB/HBP/hit rates (2.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.004.

Result: wOBA .380 → .310; ISO .188 → .142; BABIP .386 → .356. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2016 AAAIndianapolis Indians · 499 PAwOBA .287 → .262 (−25)K% 26.3% → 31.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	26.25%	÷1.015	×1.200	—	—	31.05%
BB% (unintentional) /PA	6.01%	÷1.054	×0.690	—	×1.048	4.12%
HBP% /PA	0.40%	—	×0.940	—	×1.048	0.39%
Singles /BIP	22.05%	÷0.998	×0.930	×1.041	×1.048	22.42%
Doubles /BIP	9.06%	÷1.010	×0.830	×1.041	×1.048	8.12%
Triples /BIP	1.21%	÷0.900	×0.970	×1.041	×1.048	1.42%
Home runs /BIP	1.81%	÷0.933	×0.840	—	×1.048	1.71%

Factors used: league row IL. Park (home-season share, regressed): HR 87, 1B 100, 2B 102, 3B 80, K 103, BB 111 — applied at half strength. Age: age 24 vs a level average of 27.2 → +4.8% on BB/HBP/hit rates (3.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.041.

Result: wOBA .287 → .262; ISO .121 → .112; BABIP .326 → .322. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2015 AAAIndianapolis Indians · 291 PAwOBA .303 → .272 (−32)K% 26.1% → 32.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	26.12%	÷0.977	×1.200	—	—	32.07%
BB% (unintentional) /PA	4.12%	÷1.077	×0.690	—	×1.050	2.77%
HBP% /PA	1.03%	—	×0.940	—	×1.050	1.02%
Singles /BIP	21.50%	÷1.044	×0.930	×1.050	×1.050	21.12%
Doubles /BIP	5.50%	÷1.050	×0.830	×1.050	×1.050	4.79%
Triples /BIP	2.00%	÷1.041	×0.970	×1.050	×1.050	2.06%
Home runs /BIP	5.00%	÷0.847	×0.840	—	×1.050	5.21%

Factors used: league row IL. Park (home-season share, regressed): HR 69, 1B 109, 2B 110, 3B 108, K 95, BB 115 — applied at half strength. Age: age 23 vs a level average of 27.2 → +5.0% on BB/HBP/hit rates (4.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .303 → .272; ISO .178 → .166; BABIP .305 → .295. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2015 AAAltoona Curve · 224 PAwOBA .339 → .328 (−11)K% 21.0% → 25.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.98%	÷1.005	×1.220	—	—	25.46%
BB% (unintentional) /PA	4.02%	÷1.004	×0.700	—	×1.027	2.88%
HBP% /PA	1.34%	—	×0.850	—	×1.027	1.17%
Singles /BIP	31.85%	÷0.997	×0.970	×1.031	×1.027	32.80%
Doubles /BIP	4.46%	÷0.953	×0.860	×1.031	×1.027	4.26%
Triples /BIP	1.27%	÷1.150	×0.950	×1.031	×1.027	1.11%
Home runs /BIP	3.18%	÷0.912	×0.780	—	×1.027	2.80%

Factors used: league row EL. Park (home-season share, regressed): HR 82, 1B 99, 2B 91, 3B 130, K 101, BB 101 — applied at half strength. Age: age 23 vs a level average of 24.8 → +2.7% on BB/HBP/hit rates (1.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.031.

Result: wOBA .339 → .328; ISO .127 → .115; BABIP .381 → .385. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2014 AAAltoona Curve · 474 PAwOBA .332 → .295 (−37)K% 30.6% → 37.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	30.59%	÷0.986	×1.220	—	—	37.85%
BB% (unintentional) /PA	4.64%	÷1.078	×0.700	—	×1.042	3.14%
HBP% /PA	0.63%	—	×0.850	—	×1.042	0.56%
Singles /BIP	23.47%	÷1.017	×0.970	×1.020	×1.042	23.79%
Doubles /BIP	9.18%	÷1.020	×0.860	×1.020	×1.042	8.23%
Triples /BIP	1.70%	÷1.150	×0.950	×1.020	×1.042	1.49%
Home runs /BIP	6.12%	÷0.833	×0.780	—	×1.042	5.97%

Factors used: league row EL. Park (home-season share, regressed): HR 67, 1B 103, 2B 104, 3B 130, K 97, BB 116 — applied at half strength. Age: age 22 vs a level average of 24.8 → +4.2% on BB/HBP/hit rates (2.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.020.

Result: wOBA .332 → .295; ISO .207 → .184; BABIP .361 → .351. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2013 A+Bradenton Marauders · 480 PAwOBA .310 → .221 (−89)K% 32.1% → 45.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	32.08%	÷0.994	×1.420	—	—	45.85%
BB% (unintentional) /PA	4.58%	÷1.068	×0.750	—	×1.027	3.31%
HBP% /PA	0.42%	—	×0.930	—	×1.027	0.40%
Singles /BIP	24.41%	÷1.056	×0.920	×1.001	×1.027	21.85%
Doubles /BIP	7.12%	÷1.079	×0.960	×1.001	×1.027	6.51%
Triples /BIP	2.03%	÷0.946	×0.810	×1.001	×1.027	1.79%
Home runs /BIP	5.42%	÷1.187	×0.880	—	×1.027	4.13%

Factors used: league row FSL. Park (home-season share, regressed): HR 137, 1B 111, 2B 116, 3B 89, K 99, BB 114 — applied at half strength. Age: age 21 vs a level average of 22.8 → +2.7% on BB/HBP/hit rates (1.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.001.

Result: wOBA .310 → .221; ISO .180 → .121; BABIP .351 → .311. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2012 AWest Virginia Power · 497 PAwOBA .298 → .245 (−53)K% 26.4% → 34.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	26.36%	÷1.040	×1.340	—	—	33.96%
BB% (unintentional) /PA	6.44%	÷0.933	×0.660	—	×1.030	4.69%
HBP% /PA	0.00%	—	×0.770	—	×1.030	0.00%
Singles /BIP	22.26%	÷1.035	×0.920	×1.020	×1.030	20.79%
Doubles /BIP	5.18%	÷1.031	×0.820	×1.020	×1.030	4.33%
Triples /BIP	0.61%	÷1.040	×0.940	×1.020	×1.030	0.58%
Home runs /BIP	5.49%	÷0.960	×0.820	—	×1.030	4.83%

Factors used: league row SAL. Park (home-season share, regressed): HR 92, 1B 107, 2B 106, 3B 108, K 108, BB 87 — applied at half strength. Age: age 20 vs a level average of 22.0 → +3.0% on BB/HBP/hit rates (2.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.020.

Result: wOBA .298 → .245; ISO .163 → .133; BABIP .292 → .265. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2011 ROKGCL Pirates · 201 PAwOBA .330 → .237 (−93)K% 24.4% → 35.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.38%	÷1.000	×1.440	—	—	35.10%
BB% (unintentional) /PA	5.47%	÷1.000	×0.620	—	×1.008	3.42%
HBP% /PA	2.99%	—	×0.720	—	×1.008	2.17%
Singles /BIP	22.66%	÷1.000	×0.820	×1.000	×1.008	18.72%
Doubles /BIP	7.03%	÷1.000	×0.720	×1.000	×1.008	5.10%
Triples /BIP	3.12%	÷1.000	×0.720	×1.000	×1.008	2.27%
Home runs /BIP	3.91%	÷1.000	×0.780	—	×1.008	3.07%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 19 vs a level average of 19.5 → +0.8% on BB/HBP/hit rates (0.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.000.

Result: wOBA .330 → .237; ISO .181 → .127; BABIP .331 → .260. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

Not traceable per stint: some stints lack the counting stats the component translation needs. Level-wide factors that apply instead — .