Edson Garcia

PosLF

B/TS/R

Born1992-09-11

Age (2027)34

No MLB projection yet. Career stats below are historical.

Overview

INTLPROSPECT

MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR
2024	31	INTLSultanes de M…	110	.174/.336/.221	0	2	70	—
2025	32	INTLNaranjeros de…	196	.253/.321/.329	1	5	79	—
2026	33	INTLNaranjeros de…	20	.111/.200/.111	0	1	-4	—

Contract

No contract data on file.

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)
2013	20	AAA	Leones de Yucatan	—	109	87	19	1	2	1	15	18	0	3	1	218	333	310	644	92	261	17	14	281	65	—	—	—	—	—	—
2014	21	AAA	Leones de Yucatan	—	405	355	84	9	5	2	34	49	2	6	8	237	306	307	613	70	269	12	8	273	61	—	—	—	—	—	—
2014	21	INTL	Charros de Jalisco	—	46	38	12	2	1	0	5	2	1	1	2	316	409	421	830	105	324	4	11	360	130	—	—	—	—	—	—
2015	22	AAA	Leones de Yucatan	—	147	124	26	6	1	1	18	15	1	3	2	210	315	298	613	89	229	10	12	279	57	—	—	—	—	—	—
2015	22	INTL	Charros de Jalisco	—	223	203	59	7	5	1	15	39	1	4	5	291	342	389	732	99	352	17	7	323	105	—	—	—	—	—	—
2016	23	AAA	Toros de Tijuana	—	127	109	26	5	2	2	10	17	3	3	3	239	320	376	696	138	264	13	8	302	74	—	—	—	—	—	—
2016	23	INTL	Charros de Jalisco	—	90	83	11	1	0	0	5	16	1	0	0	133	191	145	336	12	164	18	6	162	-4	—	—	—	—	—	—
2017	24	AAA	Rieleros de Aguascalientes	—	292	255	67	13	3	6	18	38	9	5	4	263	333	408	741	145	289	13	6	322	72	—	—	—	—	—	—
2017	24	INTL	Charros de Jalisco	—	237	199	57	5	1	4	23	30	9	1	4	286	385	382	767	95	312	13	10	344	119	—	—	—	—	—	—
2018	25	INTL	Venados de Mazatlan	—	260	238	65	5	4	1	16	36	0	3	8	273	319	340	659	67	318	14	6	292	84	—	—	—	—	—	—
2019	26	AAA	Rieleros de Aguascalientes	—	474	397	111	24	5	12	52	80	9	8	5	280	376	456	831	176	316	17	11	359	78	—	—	—	—	—	—
2019	26	INTL	Mexico	—	250	216	57	11	3	3	24	34	2	3	2	264	343	384	727	120	302	14	10	318	102	—	—	—	—	—	—
2020	27	INTL	Venados de Mazatlan	—	180	156	34	5	1	2	19	32	0	3	2	218	303	301	604	83	260	18	11	272	70	—	—	—	—	—	—
2021	28	INTL	Venados de Mazatlan	—	190	168	41	5	1	0	16	24	1	6	4	244	314	286	599	42	285	13	8	272	70	—	—	—	—	—	—
2022	29	INTL	Charros de Jalisco	—	106	93	21	7	0	0	12	25	1	2	0	226	321	301	622	75	309	24	11	290	83	—	—	—	—	—	—
2023	30	INTL	Sultanes de Monterrey	—	164	139	32	8	0	3	17	31	5	1	4	230	335	353	688	122	276	19	10	311	97	—	—	—	—	—	—
2024	31	INTL	Sultanes de Monterrey	—	110	86	15	4	0	0	19	19	2	2	3	174	336	221	557	47	221	17	17	271	70	—	—	—	—	—	—
2025	32	INTL	Naranjeros de Hermosillo	—	196	170	43	10	0	1	15	29	2	5	1	253	321	329	650	76	290	15	8	285	79	—	—	—	—	—	—
2026	33	INTL	Naranjeros de Hermosillo	—	20	18	2	0	0	0	1	3	1	1	0	111	200	111	311		133	15	5	162	-4	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2013	20	AAA MLE	Leones de Yucatan	—	109	91	20	1	2	1	11	22	0	3	1	220	304	308	612	88	257	20	10	264	65	—	—	—	—	—	—
2014	21	AAA MLE	Leones de Yucatan	—	405	363	87	9	4	2	27	61	2	6	8	240	296	303	599	63	270	15	7	258	61	—	—	—	—	—	—
2015	22	AAA MLE	Leones de Yucatan	—	147	128	26	6	1	1	14	18	1	3	2	203	287	289	576	86	218	12	10	252	57	—	—	—	—	—	—
2016	23	AAA MLE	Toros de Tijuana	—	127	113	26	5	2	1	6	19	3	3	3	230	287	336	623	106	261	15	5	278	74	—	—	—	—	—	—
2017	24	AAA MLE	Rieleros de Aguascalientes	—	292	262	63	12	3	4	11	47	9	5	4	240	294	355	649	115	263	16	4	274	72	—	—	—	—	—	—
2019	26	AAA MLE	Rieleros de Aguascalientes	—	474	415	94	21	4	8	34	102	9	8	5	227	299	354	653	128	262	22	7	283	78	—	—	—	—	—	—
2013	20	AAA MLE	Leones de Yucatan	—	109	91	20	1	2	1	11	22	0	3	1	220	304	308	612	88	275	20	10	264	65	—	—	—	—	—	—
2013	20	AAA RAW	Leones de Yucatan	—	109	87	19	1	2	1	15	18	0	3	1	218	333	310	644	92	261	17	14	281	65	—	—	—	—	—	—
2014	21	AAA MLE	2 teams	—	451	403	96	9	5	2	30	68	3	7	10	238	296	300	596	62	281	15	7	258	61	—	—	—	—	—	—
2014	21	AAA RAW	2 teams	—	451	393	96	11	6	2	39	51	3	7	10	244	317	318	635	74	275	11	9	282	61	—	—	—	—	—	—
2015	22	INTL MLE	2 teams	—	370	326	65	15	2	2	34	45	2	7	7	199	279	276	555	77	223	12	9	252	57	—	—	—	—	—	—
2015	22	INTL RAW	2 teams	—	370	327	85	13	6	2	33	54	2	7	7	260	331	355	686	95	303	15	9	305	57	—	—	—	—	—	—
2016	23	AAA MLE	2 teams	—	217	196	46	9	4	2	11	33	4	3	3	235	289	352	641	117	272	15	5	278	74	—	—	—	—	—	—
2016	23	AAA RAW	2 teams	—	217	192	37	6	2	2	15	33	4	3	3	193	265	276	541	83	222	15	7	244	74	—	—	—	—	—	—
2017	24	AAA MLE	2 teams	—	529	474	114	21	5	8	21	86	18	6	8	241	298	357	655	116	275	16	4	274	72	—	—	—	—	—	—
2017	24	AAA RAW	2 teams	—	529	454	124	18	4	10	41	68	18	6	8	273	357	396	753	123	299	13	8	332	72	—	—	—	—	—	—
2018	25	INTL MLE	Venados de Mazatlan	—	260	238	65	5	4	1	16	36	0	3	8	273	319	340	659	67	318	14	6	—	—	—	—	—	—	—	—
2018	25	INTL RAW	Venados de Mazatlan	—	260	238	65	5	4	1	16	36	0	3	8	273	319	340	659	67	318	14	6	292	84	—	—	—	—	—	—
2019	26	AAA MLE	2 teams	—	724	638	145	32	7	12	51	156	11	11	7	227	296	356	652	129	278	22	7	283	78	—	—	—	—	—	—
2019	26	AAA RAW	2 teams	—	724	613	168	35	8	15	76	114	11	11	7	274	364	431	795	157	311	16	10	345	78	—	—	—	—	—	—
2020	27	INTL MLE	Venados de Mazatlan	—	180	156	34	5	1	2	19	32	0	3	2	218	303	301	604	83	260	18	11	—	—	—	—	—	—	—	—
2020	27	INTL RAW	Venados de Mazatlan	—	180	156	34	5	1	2	19	32	0	3	2	218	303	301	604	83	260	18	11	272	70	—	—	—	—	—	—
2021	28	INTL MLE	Venados de Mazatlan	—	190	168	41	5	1	0	16	24	1	6	4	244	314	286	599	42	285	13	8	—	—	—	—	—	—	—	—
2021	28	INTL RAW	Venados de Mazatlan	—	190	168	41	5	1	0	16	24	1	6	4	244	314	286	599	42	285	13	8	272	70	—	—	—	—	—	—
2022	29	INTL MLE	Charros de Jalisco	—	106	93	21	7	0	0	12	25	1	2	0	226	321	301	622	75	309	24	11	—	—	—	—	—	—	—	—
2022	29	INTL RAW	Charros de Jalisco	—	106	93	21	7	0	0	12	25	1	2	0	226	321	301	622	75	309	24	11	290	83	—	—	—	—	—	—
2023	30	INTL MLE	Sultanes de Monterrey	—	164	139	32	8	0	3	17	31	5	1	4	230	335	353	688	122	276	19	10	—	—	—	—	—	—	—	—
2023	30	INTL RAW	Sultanes de Monterrey	—	164	139	32	8	0	3	17	31	5	1	4	230	335	353	688	122	276	19	10	311	97	—	—	—	—	—	—
2024	31	INTL MLE	Sultanes de Monterrey	—	110	86	15	4	0	0	19	19	2	2	3	174	336	221	557	47	221	17	17	—	—	—	—	—	—	—	—
2024	31	INTL RAW	Sultanes de Monterrey	—	110	86	15	4	0	0	19	19	2	2	3	174	336	221	557	47	221	17	17	271	70	—	—	—	—	—	—
2025	32	INTL MLE	Naranjeros de Hermosillo	—	196	170	43	10	0	1	15	29	2	5	1	253	321	329	650	76	290	15	8	—	—	—	—	—	—	—	—
2025	32	INTL RAW	Naranjeros de Hermosillo	—	196	170	43	10	0	1	15	29	2	5	1	253	321	329	650	76	290	15	8	285	79	—	—	—	—	—	—
2026	33	INTL MLE	Naranjeros de Hermosillo	—	20	18	2	0	0	0	1	3	1	1	0	111	200	111	311		133	15	5	—	—	—	—	—	—	—	—
2026	33	INTL RAW	Naranjeros de Hermosillo	—	20	18	2	0	0	0	1	3	1	1	0	111	200	111	311		133	15	5	162	-4	—	—	—	—	—	—
2013	20	AAA MLE	Leones de Yucatan	—	109	97	20	1	2	1	11	22	0	3	1	206	304	289	593	82	257	20	10	264	65	—	—	—	—	—	—
2014	21	AAA MLE	2 teams	—	451	415	96	9	5	2	30	68	3	7	10	231	296	292	587	60	270	15	7	258	61	—	—	—	—	—	—
2015	22	INTL MLE	2 teams	—	370	331	65	15	2	2	34	45	2	7	7	196	279	272	551	76	218	12	9	252	57	—	—	—	—	—	—
2016	23	AAA MLE	2 teams	—	217	200	46	9	4	2	11	33	4	3	3	230	289	345	634	115	261	15	5	278	74	—	—	—	—	—	—
2017	24	AAA MLE	2 teams	—	529	485	114	21	5	8	21	86	18	6	8	235	298	348	647	113	263	16	4	274	72	—	—	—	—	—	—
2019	26	AAA MLE	2 teams	—	724	656	145	32	7	12	51	156	11	11	7	221	296	346	642	125	262	22	7	283	78	—	—	—	—	—	—
▸ Career Totals
Career	—	MLE		—	3626	3196	739	131	31	34	273	609	50	60	58	231	302	324	625	92	273	17	8	179	7	-400	-11	+0	-39	+79	-37.9
/ 162G	—	MLE		—	650	573	132	23	6	6	49	109	9	11	10	230	301	323	624	92	272	17	8	179	7	-72	-2	+0	-7	+14	-6.8

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.

2019 AAARieleros de Aguascalientes · 474 PAwOBA .355 → .283 (−72)K% 16.9% → 21.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.88%	÷0.936	×1.200	—	—	21.64%
BB% (unintentional) /PA	10.76%	÷1.051	×0.690	—	×1.003	7.09%
HBP% /PA	1.90%	—	×0.940	—	×1.003	1.79%
Singles /BIP	22.08%	÷1.050	×0.930	×0.950	×1.003	18.63%
Doubles /BIP	7.57%	÷0.954	×0.830	×0.950	×1.003	6.27%
Triples /BIP	1.58%	÷1.065	×0.920	×0.950	×1.003	1.30%
Home runs /BIP	3.79%	÷1.115	×0.700	—	×1.003	2.38%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 123, 1B 110, 2B 91, 3B 113, K 87, BB 110 — applied at half strength. Age: age 27 vs a level average of 27.2 → +0.3% on BB/HBP/hit rates (0.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .355 → .283; ISO .176 → .133; BABIP .316 → .262. 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).

2017 AAARieleros de Aguascalientes · 292 PAwOBA .312 → .274 (−37)K% 13.0% → 16.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.01%	÷0.966	×1.200	—	—	16.16%
BB% (unintentional) /PA	5.82%	÷1.059	×0.690	—	×1.033	3.92%
HBP% /PA	3.08%	—	×0.940	—	×1.033	2.99%
Singles /BIP	20.74%	÷1.026	×0.930	×1.007	×1.033	19.56%
Doubles /BIP	5.99%	÷1.008	×0.830	×1.007	×1.033	5.13%
Triples /BIP	1.38%	÷1.150	×0.920	×1.007	×1.033	1.15%
Home runs /BIP	2.76%	÷1.050	×0.700	—	×1.033	1.90%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 110, 1B 105, 2B 102, 3B 130, K 93, BB 112 — 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 ×1.007.

Result: wOBA .312 → .274; ISO .145 → .116; BABIP .289 → .263. 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 AAAToros de Tijuana · 127 PAwOBA .294 → .278 (−15)K% 13.4% → 15.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.39%	÷1.062	×1.200	—	—	15.13%
BB% (unintentional) /PA	7.09%	÷1.055	×0.690	—	×1.048	4.86%
HBP% /PA	2.36%	—	×0.940	—	×1.048	2.33%
Singles /BIP	18.48%	÷0.967	×0.930	×1.002	×1.048	18.66%
Doubles /BIP	5.43%	÷0.926	×0.830	×1.002	×1.048	5.11%
Triples /BIP	2.17%	÷0.941	×0.920	×1.002	×1.048	2.23%
Home runs /BIP	2.17%	÷1.278	×0.700	—	×1.048	1.25%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 156, 1B 93, 2B 85, 3B 88, K 112, 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 ×1.002.

Result: wOBA .294 → .278; ISO .138 → .121; BABIP .264 → .261. 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 AAALeones de Yucatan · 147 PAwOBA .274 → .252 (−23)K% 10.2% → 12.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	10.20%	÷1.000	×1.200	—	—	12.24%
BB% (unintentional) /PA	12.24%	÷0.949	×0.690	—	×1.050	9.35%
HBP% /PA	0.68%	—	×0.940	—	×1.050	0.67%
Singles /BIP	16.51%	÷1.005	×0.930	×0.997	×1.050	15.98%
Doubles /BIP	5.50%	÷0.935	×0.830	×0.997	×1.050	5.11%
Triples /BIP	0.92%	÷1.150	×0.920	×0.997	×1.050	0.77%
Home runs /BIP	0.92%	÷0.849	×0.700	—	×1.050	0.79%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 70, 1B 101, 2B 87, 3B 130, K 100, BB 90 — 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 ×0.997.

Result: wOBA .274 → .252; ISO .089 → .083; BABIP .229 → .218. 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 AAALeones de Yucatan · 405 PAwOBA .267 → .258 (−9)K% 12.1% → 15.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.10%	÷0.971	×1.200	—	—	14.96%
BB% (unintentional) /PA	8.40%	÷0.921	×0.690	—	×1.050	6.61%
HBP% /PA	0.49%	—	×0.940	—	×1.050	0.49%
Singles /BIP	22.22%	÷0.969	×0.930	×1.021	×1.050	22.86%
Doubles /BIP	2.94%	÷0.970	×0.830	×1.021	×1.050	2.70%
Triples /BIP	1.63%	÷1.150	×0.920	×1.021	×1.050	1.40%
Home runs /BIP	0.65%	÷0.947	×0.700	—	×1.050	0.51%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 89, 1B 94, 2B 94, 3B 130, K 94, BB 84 — applied at half strength. Age: age 22 vs a level average of 27.2 → +5.0% on BB/HBP/hit rates (5.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.021.

Result: wOBA .267 → .258; ISO .070 → .062; BABIP .269 → .270. 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 AAALeones de Yucatan · 109 PAwOBA .277 → .264 (−14)K% 16.5% → 20.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.51%	÷0.964	×1.200	—	—	20.57%
BB% (unintentional) /PA	13.76%	÷0.987	×0.690	—	×1.050	10.10%
HBP% /PA	0.00%	—	×0.940	—	×1.050	0.00%
Singles /BIP	21.74%	÷1.019	×0.930	×1.026	×1.050	21.37%
Doubles /BIP	1.45%	÷0.992	×0.830	×1.026	×1.050	1.31%
Triples /BIP	2.90%	÷0.955	×0.920	×1.026	×1.050	3.01%
Home runs /BIP	1.45%	÷0.866	×0.700	—	×1.050	1.23%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 73, 1B 104, 2B 98, 3B 91, K 93, BB 97 — applied at half strength. Age: age 21 vs a level average of 27.2 → +5.0% on BB/HBP/hit rates (6.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.026.

Result: wOBA .277 → .264; ISO .092 → .096; BABIP .261 → .257. 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 — .