Gabriel Garcia

Pos1B

B/TR/R

Born1997-12-16

Age (2027)29

No MLB projection yet. Career stats below are historical.

Overview

INTLLAST SEASON 2023

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2021	23	AA/A+MIL	234	.217/.299/.372	6	2	29	—	.154/.217/.251
2022	24	INTLLeones de Pon…	58	.180/.268/.260	1	3	50	—
2023	25	INTLLeones de Pon…	17	.067/.125/.067	0	0	-49	—

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)
2016	18	ROK	AZL Brewers	—	150	130	39	12	4	2	17	34	3	4	2	300	393	500	893	200	394	23	11	394	72	—	—	—	—	—	—
2017	19	ROK	Helena Brewers	—	285	233	70	17	1	9	39	69	10	6	2	300	422	498	920	197	391	24	14	406	70	—	—	—	—	—	—
2018	20	A	Wisconsin Timber Rattlers	—	381	325	64	16	2	5	43	115	7	5	4	197	304	305	609	108	284	30	11	279	24	—	—	—	—	—	—
2019	21	A	Wisconsin Timber Rattlers	—	338	279	57	17	1	11	45	87	12	5	5	204	339	391	730	186	253	26	13	331	48	—	—	—	—	—	—
2019	21	INTL	Atenienses de Manati	—	21	17	3	0	0	0	4	7	0	0	0	176	333	176	510		300	33	19	262	64	—	—	—	—	—	—
2020	22	INTL	Atenienses de Manati	—	41	36	5	0	0	1	0	15	2	1	0	139	184	222	406	83	182	37	0	175	5	—	—	—	—	—	—
2021	23	AA	Biloxi Shuckers	—	126	115	25	8	0	4	9	44	2	0	2	217	286	391	677	174	313	35	7	302	35	—	—	—	—	—	—
2021	23	A+	Wisconsin Timber Rattlers	—	108	92	20	6	0	2	12	41	1	2	1	217	314	348	662	130	346	38	11	295	22	—	—	—	—	—	—
2022	24	INTL	Leones de Ponce	—	58	50	9	1	0	1	1	16	5	3	0	180	268	260	528	80	242	28	2	243	50	—	—	—	—	—	—
2023	25	INTL	Leones de Ponce	—	17	15	1	0	0	0	0	3	1	0	1	67	125	67	192		83	18	0	96	-49	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2016	18	ROK MLE	AZL Brewers	—	150	136	29	8	3	1	11	49	3	4	2	213	287	338	625	125	319	33	7	274	72	—	—	—	—	—	—
2017	19	ROK MLE	Helena Brewers	—	285	248	50	11	1	6	24	99	10	6	2	202	298	327	624	125	293	35	8	272	70	—	—	—	—	—	—
2018	20	A MLE	Wisconsin Timber Rattlers	—	381	336	48	12	1	3	32	162	7	5	4	143	232	211	443	68	245	43	8	204	24	—	—	—	—	—	—
2019	21	A MLE	Wisconsin Timber Rattlers	—	338	292	43	11	1	8	32	119	12	5	5	147	259	274	533	127	206	35	9	239	48	—	—	—	—	—	—
2021	23	AA MLE	Biloxi Shuckers	—	126	119	19	5	0	3	5	55	2	0	2	160	206	277	484	118	267	44	4	220	35	—	—	—	—	—	—
2021	23	A+ MLE	Wisconsin Timber Rattlers	—	108	95	14	4	0	1	9	55	1	2	1	147	229	221	450	74	274	51	8	201	22	—	—	—	—	—	—
2016	18	ROK MLE	AZL Brewers	—	150	136	29	8	3	1	11	49	3	4	2	213	287	338	625	125	326	33	7	274	72	—	—	—	—	—	—
2016	18	ROK RAW	AZL Brewers	—	150	130	39	12	4	2	17	34	3	4	2	300	393	500	893	200	394	23	11	394	72	—	—	—	—	—	—
2017	19	ROK MLE	Helena Brewers	—	285	248	50	11	1	6	24	99	10	6	2	202	298	327	624	125	306	35	8	272	70	—	—	—	—	—	—
2017	19	ROK RAW	Helena Brewers	—	285	233	70	17	1	9	39	69	10	6	2	300	422	498	920	197	391	24	14	406	70	—	—	—	—	—	—
2018	20	A MLE	Wisconsin Timber Rattlers	—	381	336	48	12	1	3	32	162	7	5	4	143	232	211	443	68	259	43	8	204	24	—	—	—	—	—	—
2018	20	A RAW	Wisconsin Timber Rattlers	—	381	325	64	16	2	5	43	115	7	5	4	197	304	305	609	108	284	30	11	279	24	—	—	—	—	—	—
2019	21	A MLE	2 teams	—	359	311	46	12	1	8	34	126	12	5	5	148	258	270	528	122	213	35	9	239	48	—	—	—	—	—	—
2019	21	A RAW	2 teams	—	359	296	60	17	1	11	49	94	12	5	5	203	339	378	717	176	255	26	14	327	48	—	—	—	—	—	—
2020	22	INTL MLE	Atenienses de Manati	—	41	36	5	0	0	1	0	15	2	1	0	139	184	222	406	83	182	37	0	—	—	—	—	—	—	—	—
2020	22	INTL RAW	Atenienses de Manati	—	41	36	5	0	0	1	0	15	2	1	0	139	184	222	406	83	182	37	0	175	5	—	—	—	—	—	—
2021	23	AA MLE	2 teams	—	234	214	33	9	0	4	14	110	3	2	3	154	216	252	469	98	282	47	6	211	29	—	—	—	—	—	—
2021	23	AA RAW	2 teams	—	234	207	45	14	0	6	21	85	3	2	3	217	299	372	671	155	328	36	9	299	29	—	—	—	—	—	—
2022	24	INTL MLE	Leones de Ponce	—	58	50	9	1	0	1	1	16	5	3	0	180	268	260	528	80	242	28	2	—	—	—	—	—	—	—	—
2022	24	INTL RAW	Leones de Ponce	—	58	50	9	1	0	1	1	16	5	3	0	180	268	260	528	80	242	28	2	243	50	—	—	—	—	—	—
2023	25	INTL MLE	Leones de Ponce	—	17	15	1	0	0	0	0	3	1	0	1	67	125	67	192		83	18	0	—	—	—	—	—	—	—	—
2023	25	INTL RAW	Leones de Ponce	—	17	15	1	0	0	0	0	3	1	0	1	67	125	67	192		83	18	0	96	-49	—	—	—	—	—	—
2016	18	ROK MLE	AZL Brewers	—	150	135	29	8	3	1	11	49	3	4	2	215	287	341	627	126	319	33	7	274	72	—	—	—	—	—	—
2017	19	ROK MLE	Helena Brewers	—	285	249	50	11	1	6	24	99	10	6	2	201	298	325	623	124	293	35	8	272	70	—	—	—	—	—	—
2018	20	A MLE	Wisconsin Timber Rattlers	—	381	339	48	12	1	3	32	162	7	5	4	142	232	209	441	68	245	43	8	204	24	—	—	—	—	—	—
2019	21	A MLE	2 teams	—	359	310	46	12	1	8	34	126	12	5	5	148	258	271	529	123	206	35	9	239	48	—	—	—	—	—	—
2021	23	AA MLE	2 teams	—	234	215	33	9	0	4	14	110	3	2	3	153	216	251	468	98	270	47	6	211	29	—	—	—	—	—	—
▸ Career Totals
Career	—	MLE		—	1525	1346	221	53	6	24	116	580	43	26	17	164	252	266	518	102	262	38	8	217	33	-121	-2	+0	-27	+33	-11.9
/ 162G	—	MLE		—	650	574	95	23	3	10	49	247	18	11	7	166	252	268	521	103	265	38	8	217	33	-52	-1	+0	-12	+14	-5.1

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.

2021 AABiloxi Shuckers · 126 PAwOBA .291 → .220 (−71)K% 34.9% → 43.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	34.92%	÷0.980	×1.220	—	—	43.45%
BB% (unintentional) /PA	6.35%	÷1.033	×0.690	—	×1.012	4.29%
HBP% /PA	1.59%	—	×0.850	—	×1.012	1.37%
Singles /BIP	18.31%	÷0.993	×0.940	×0.963	×1.012	16.89%
Doubles /BIP	11.27%	÷1.124	×0.870	×0.963	×1.012	8.51%
Triples /BIP	0.00%	÷1.000	×0.920	×0.963	×1.012	0.00%
Home runs /BIP	5.63%	÷0.929	×0.780	—	×1.012	4.78%

Factors used: level-wide AA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 86, 1B 99, 2B 125, 3B 100, K 96, BB 107 — applied at half strength. Age: age 24 vs a level average of 24.8 → +1.2% on BB/HBP/hit rates (0.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.963.

Result: wOBA .291 → .220; ISO .174 → .127; BABIP .313 → .267. 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).

2021 A+Wisconsin Timber Rattlers · 108 PAwOBA .296 → .201 (−95)K% 38.0% → 51.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	37.96%	÷1.001	×1.350	—	—	51.21%
BB% (unintentional) /PA	11.11%	÷0.988	×0.710	—	×0.988	7.89%
HBP% /PA	0.93%	—	×0.810	—	×0.988	0.74%
Singles /BIP	23.53%	÷0.982	×0.910	×0.950	×0.988	20.46%
Doubles /BIP	11.76%	÷1.132	×0.830	×0.950	×0.988	8.10%
Triples /BIP	0.00%	÷0.956	×0.820	×0.950	×0.988	0.00%
Home runs /BIP	3.92%	÷1.155	×0.830	—	×0.988	2.79%

Factors used: level-wide A+ factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 131, 1B 96, 2B 126, 3B 91, K 100, BB 98 — applied at half strength. Age: age 24 vs a level average of 22.8 → −1.2% on BB/HBP/hit rates (1.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .296 → .201; ISO .130 → .078; BABIP .346 → .274. 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).

2019 AWisconsin Timber Rattlers · 338 PAwOBA .324 → .239 (−85)K% 25.7% → 35.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.74%	÷0.994	×1.360	—	—	35.23%
BB% (unintentional) /PA	13.31%	÷0.953	×0.690	—	—	9.64%
HBP% /PA	3.55%	—	×0.780	—	—	2.77%
Singles /BIP	14.58%	÷0.963	×0.920	×0.950	—	13.24%
Doubles /BIP	8.85%	÷1.136	×0.830	×0.950	—	6.14%
Triples /BIP	0.52%	÷1.150	×0.910	×0.950	—	0.39%
Home runs /BIP	5.73%	÷1.022	×0.800	—	—	4.48%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 104, 1B 92, 2B 127, 3B 130, K 99, BB 91 — applied at half strength. Age: age 22 vs a level average of 22.0 → +0.0% on BB/HBP/hit rates (0.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .324 → .239; ISO .186 → .129; BABIP .253 → .206. 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).

2018 AWisconsin Timber Rattlers · 381 PAwOBA .275 → .204 (−70)K% 30.2% → 42.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	30.18%	÷0.967	×1.360	—	—	42.45%
BB% (unintentional) /PA	11.29%	÷0.946	×0.690	—	×1.015	8.36%
HBP% /PA	1.84%	—	×0.780	—	×1.015	1.45%
Singles /BIP	19.52%	÷0.998	×0.920	×0.950	×1.015	17.36%
Doubles /BIP	7.62%	÷0.957	×0.830	×0.950	×1.015	6.37%
Triples /BIP	0.95%	÷1.112	×0.910	×0.950	×1.015	0.75%
Home runs /BIP	2.38%	÷1.019	×0.800	—	×1.015	1.90%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 104, 1B 100, 2B 91, 3B 122, K 93, BB 89 — applied at half strength. Age: age 21 vs a level average of 22.0 → +1.5% on BB/HBP/hit rates (1.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .275 → .204; ISO .108 → .076; BABIP .284 → .245. 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 ROKHelena Brewers · 285 PAwOBA .397 → .272 (−125)K% 24.2% → 34.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.21%	÷1.000	×1.440	—	—	34.86%
BB% (unintentional) /PA	13.68%	÷1.000	×0.610	—	×0.995	8.31%
HBP% /PA	3.51%	—	×0.720	—	×0.995	2.51%
Singles /BIP	26.22%	÷1.000	×0.820	×0.965	×0.995	20.65%
Doubles /BIP	10.37%	÷1.000	×0.720	×0.965	×0.995	7.17%
Triples /BIP	0.61%	÷1.000	×0.720	×0.965	×0.995	0.42%
Home runs /BIP	5.49%	÷1.000	×0.750	—	×0.995	4.10%

Factors used: league row PIO. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 20 vs a level average of 19.5 → −0.5% on BB/HBP/hit rates (0.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.965.

Result: wOBA .397 → .272; ISO .197 → .135; BABIP .391 → .293. 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 ROKAZL Brewers · 150 PAwOBA .384 → .274 (−110)K% 22.7% → 32.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.67%	÷1.000	×1.440	—	—	32.64%
BB% (unintentional) /PA	11.33%	÷1.000	×0.620	—	×1.008	7.08%
HBP% /PA	2.00%	—	×0.720	—	×1.008	1.45%
Singles /BIP	21.88%	÷1.000	×0.820	×1.040	×1.008	18.80%
Doubles /BIP	12.50%	÷1.000	×0.720	×1.040	×1.008	9.43%
Triples /BIP	4.17%	÷1.000	×0.720	×1.040	×1.008	3.14%
Home runs /BIP	2.08%	÷1.000	×0.780	—	×1.008	1.64%

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 ×1.040.

Result: wOBA .384 → .274; ISO .200 → .140; BABIP .394 → .319. 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 — .