Dérmis Garcia

Pos3B

B/TR/R

Born1998-01-07

Age (2027)29

No MLB projection yet. Career stats below are historical.

Overview

AALAST SEASON 2024

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2022	24	AAAOAK	278	.264/.355/.498	13	4	83	—	.218/.289/.383
2022	24	MLBOakland Athle…	125	.207/.264/.388	5	0	87	-0.6
2023	25	AAAOAK	198	.263/.360/.532	12	3	91	—	.213/.289/.393
2024	26	AAWSH	424	.182/.275/.332	14	2	29	—	.149/.213/.264
2025	27	No MLB games played
2026	28	No MLB games played

Last 3 seasons WAR -0.6

Contract

No contract data on file.

Skills · percentileMiLB Statcast 2024 AA

ISO70

BB%61

wRC+33

wOBA28

K%23

Chase%21

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)
2015	17	ROK	GCL Yankees2	—	78	69	11	2	0	0	9	25	0	0	1	159	256	188	445	29	250	32	12	218	-20	—	—	—	—	—	—
2016	18	ROK	Pulaski Yankees	—	230	194	40	9	0	13	32	79	3	0	2	206	328	454	781	247	262	34	14	345	36	—	—	—	—	—	—
2017	19	A	Charleston RiverDogs	—	125	110	25	6	1	8	14	42	0	0	0	227	315	518	833	291	279	34	11	358	60	—	—	—	—	—	—
2017	19	ROK	Pulaski Yankees	—	141	115	31	5	1	9	24	39	1	6	0	270	400	565	965	296	324	28	17	416	79	—	—	—	—	—	—
2018	20	A	Charleston RiverDogs	—	363	324	78	17	2	15	36	111	2	3	2	241	320	444	765	204	317	31	10	338	60	—	—	—	—	—	—
2019	21	A+	Tampa Tarpons	—	297	271	67	15	0	17	19	105	2	4	2	247	301	491	792	244	325	35	6	340	51	—	—	—	—	—	—
2019	21	INTL	Gigantes del Cibao	—	25	21	4	0	0	0	4	7	0	0	0	190	320	190	510		286	28	16	256	60	—	—	—	—	—	—
2021	23	AA	Somerset Patriots	—	443	385	81	11	1	31	52	168	3	10	2	210	309	486	795	275	265	38	12	346	63	—	—	—	—	—	—
2022	24	MLB	Oakland Athletics	—	125	116	24	6	0	5	8	55	1	0	0	207	264	388	652	181	339	44	6	290	87	-2	+0	+1	-7	+3	-0.6
2022	24	AAA	Las Vegas Aviators	—	278	239	63	15	1	13	32	83	2	4	1	264	355	498	853	234	338	30	12	369	83	—	—	—	—	—	—
2023	25	AAA	Las Vegas Aviators	—	198	171	45	8	1	12	22	63	4	3	0	263	360	532	893	269	340	32	11	388	91	—	—	—	—	—	—
2024	26	AA	Harrisburg Senators	—	424	373	68	12	1	14	44	127	4	2	1	182	275	332	607	150	231	30	10	276	29	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	125	116	24	6	0	5	8	55	1	0	0	207	264	388	652	181	339	44	6	290	82	-3	+0	+1	-7	+3	-0.6
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2015	17	ROK MLE	GCL Yankees2	—	78	72	7	1	0	0	6	36	0	0	1	97	167	111	278	14	199	46	8	138	-20	—	—	—	—	—	—
2016	18	ROK MLE	Pulaski Yankees	—	230	206	26	5	0	9	20	112	3	0	2	126	214	282	496	155	200	49	9	222	36	—	—	—	—	—	—
2017	19	A MLE	Charleston RiverDogs	—	125	115	19	4	1	6	9	59	0	0	0	165	226	374	600	209	245	47	7	257	60	—	—	—	—	—	—
2017	19	ROK MLE	Pulaski Yankees	—	141	123	23	3	1	7	16	55	1	6	0	187	286	398	684	211	246	39	11	285	79	—	—	—	—	—	—
2018	20	A MLE	Charleston RiverDogs	—	363	338	63	13	1	14	22	150	2	3	2	186	240	355	595	169	278	41	6	257	60	—	—	—	—	—	—
2019	21	A+ MLE	Tampa Tarpons	—	297	276	48	12	0	13	14	151	2	4	2	174	219	359	578	185	282	51	5	243	51	—	—	—	—	—	—
2021	23	AA MLE	Somerset Patriots	—	443	402	67	10	1	22	35	200	3	10	2	167	239	361	599	194	243	45	8	262	63	—	—	—	—	—	—
2022	24	MLB MLE	Oakland Athletics	—	125	116	24	6	0	5	8	55	1	0	0	207	264	388	652	181	339	44	6	296	87	-2	+0	+1	-7	+3	-0.6
2022	24	AAA MLE	Las Vegas Aviators	—	278	248	54	12	1	9	23	99	2	4	1	218	289	383	672	165	298	36	8	291	83	—	—	—	—	—	—
2023	25	AAA MLE	Las Vegas Aviators	—	198	178	38	6	1	8	15	74	4	3	0	213	289	393	683	180	311	37	8	302	91	—	—	—	—	—	—
2024	26	AA MLE	Harrisburg Senators	—	424	390	58	10	1	11	28	153	4	2	1	149	213	264	477	115	205	36	7	211	29	—	—	—	—	—	—
2015	17	ROK MLE	GCL Yankees2	—	78	72	7	1	0	0	6	36	0	0	1	97	167	111	278	14	194	46	8	138	-20	—	—	—	—	—	—
2015	17	ROK RAW	GCL Yankees2	—	78	69	11	2	0	0	9	25	0	0	1	159	256	188	445	29	250	32	12	218	-20	—	—	—	—	—	—
2016	18	ROK MLE	Pulaski Yankees	—	230	206	26	5	0	9	20	112	3	0	2	126	214	282	496	155	198	49	9	222	36	—	—	—	—	—	—
2016	18	ROK RAW	Pulaski Yankees	—	230	194	40	9	0	13	32	79	3	0	2	206	328	454	781	247	262	34	14	345	36	—	—	—	—	—	—
2017	19	ROK MLE	2 teams	—	266	238	42	7	2	13	25	114	1	6	0	176	258	387	644	210	257	43	9	272	70	—	—	—	—	—	—
2017	19	ROK RAW	2 teams	—	266	225	56	11	2	17	38	81	1	6	0	249	360	542	902	293	302	30	14	389	70	—	—	—	—	—	—
2018	20	A MLE	Charleston RiverDogs	—	363	338	63	13	1	14	22	150	2	3	2	186	240	355	595	169	280	41	6	257	60	—	—	—	—	—	—
2018	20	A RAW	Charleston RiverDogs	—	363	324	78	17	2	15	36	111	2	3	2	241	320	444	765	204	317	31	10	338	60	—	—	—	—	—	—
2019	21	A+ MLE	2 teams	—	322	300	52	13	0	14	15	164	2	4	2	173	218	357	574	183	299	51	5	243	51	—	—	—	—	—	—
2019	21	A+ RAW	2 teams	—	322	292	71	15	0	17	23	112	2	4	2	243	303	469	772	226	321	35	7	334	51	—	—	—	—	—	—
2021	23	AA MLE	Somerset Patriots	—	443	402	67	10	1	22	35	200	3	10	2	167	239	361	599	194	246	45	8	262	63	—	—	—	—	—	—
2021	23	AA RAW	Somerset Patriots	—	443	385	81	11	1	31	52	168	3	10	2	210	309	486	795	275	265	38	12	346	63	—	—	—	—	—	—
2022	24	AAA MLE	2 teams	—	403	364	77	17	1	14	31	154	3	4	1	212	279	379	658	168	313	38	8	293	84	—	—	—	—	—	—
2022	24	AAA RAW	2 teams	—	403	355	87	21	1	18	40	138	3	4	1	245	327	462	789	217	338	34	10	344	84	—	—	—	—	—	—
2023	25	AAA MLE	Las Vegas Aviators	—	198	178	38	6	1	8	15	74	4	3	0	213	289	393	683	180	309	37	8	302	91	—	—	—	—	—	—
2023	25	AAA RAW	Las Vegas Aviators	—	198	171	45	8	1	12	22	63	4	3	0	263	360	532	893	269	340	32	11	388	91	—	—	—	—	—	—
2024	26	AA MLE	Harrisburg Senators	—	424	390	58	10	1	11	28	153	4	2	1	149	213	264	477	115	206	36	7	211	29	—	—	—	—	—	—
2024	26	AA RAW	Harrisburg Senators	—	424	373	68	12	1	14	44	127	4	2	1	182	275	332	607	150	231	30	10	276	29	—	—	—	—	—	—
2015	17	ROK MLE	GCL Yankees2	—	78	72	7	1	0	0	6	36	0	0	1	97	167	111	278	14	199	46	8	138	-20	—	—	—	—	—	—
2016	18	ROK MLE	Pulaski Yankees	—	230	205	26	5	0	9	20	112	3	0	2	127	214	283	497	156	200	49	9	222	36	—	—	—	—	—	—
2017	19	ROK MLE	2 teams	—	266	238	42	7	2	13	25	114	1	6	0	176	258	387	644	210	246	43	9	272	70	—	—	—	—	—	—
2018	20	A MLE	Charleston RiverDogs	—	363	336	63	13	1	14	22	150	2	3	2	188	240	357	597	170	278	41	6	257	60	—	—	—	—	—	—
2019	21	A+ MLE	2 teams	—	322	302	52	13	0	14	15	164	2	4	2	172	218	354	572	182	282	51	5	243	51	—	—	—	—	—	—
2021	23	AA MLE	Somerset Patriots	—	443	402	67	10	1	22	35	200	3	10	2	167	239	361	599	194	243	45	8	262	63	—	—	—	—	—	—
2022	24	AAA MLE	2 teams	—	403	366	77	17	1	14	31	154	3	4	1	210	279	377	656	167	311	38	8	293	84	—	—	—	—	—	—
2023	25	AAA MLE	Las Vegas Aviators	—	198	177	38	6	1	8	15	74	4	3	0	215	289	395	685	181	311	37	8	302	91	—	—	—	—	—	—
2024	26	AA MLE	Harrisburg Senators	—	424	389	58	10	1	11	28	153	4	2	1	149	213	265	478	116	205	36	7	211	29	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	26	AA MLE	Harrisburg Senators	—	424	389	58	10	1	11	28	153	4	2	1	149	213	265	478	116	205	36	7	211	29	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	125	116	24	6	0	5	8	55	1	0	0	207	264	388	652	181	339	44	6	290	57	-3	+0	+1	-7	+3	-0.6
/ 162G	—	A+C		—	650	603	125	31	0	26	42	286	5	0	0	207	265	388	653	181	340	44	6	290	57	-14	+0	+5	-37	+14	-3.3
Career	—	MLE		—	2727	2488	430	82	7	105	197	1157	22	32	11	173	240	338	578	165	261	42	7	253	57	-3	+0	+1	-7	+3	-0.6
/ 162G	—	MLE		—	650	593	103	20	2	25	47	276	5	8	3	174	240	341	581	167	263	42	7	253	57	-14	+0	+5	-37	+14	-3.3

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.

2024 AAHarrisburg Senators · 424 PAwOBA .269 → .211 (−57)K% 30.0% → 36.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	29.95%	÷1.008	×1.220	—	—	36.24%
BB% (unintentional) /PA	10.14%	÷1.051	×0.700	—	×0.988	6.67%
HBP% /PA	0.94%	—	×0.850	—	×0.988	0.79%
Singles /BIP	16.67%	÷1.010	×0.970	×0.965	×0.988	15.26%
Doubles /BIP	4.88%	÷0.964	×0.860	×0.965	×0.988	4.15%
Triples /BIP	0.41%	÷0.915	×0.950	×0.965	×0.988	0.40%
Home runs /BIP	5.69%	÷0.990	×0.780	—	×0.988	4.43%

Factors used: league row EL. Park (home-season share, regressed): HR 98, 1B 102, 2B 93, 3B 83, K 102, BB 110 — applied at half strength. Age: age 26 vs a level average of 24.8 → −1.2% on BB/HBP/hit rates (1.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.965.

Result: wOBA .269 → .211; ISO .150 → .117; BABIP .231 → .205. 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).

2023 AAALas Vegas Aviators · 198 PAwOBA .380 → .302 (−77)K% 31.8% → 37.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	31.82%	÷1.017	×1.200	—	—	37.53%
BB% (unintentional) /PA	11.11%	÷1.055	×0.690	—	×1.033	7.51%
HBP% /PA	2.02%	—	×0.940	—	×1.033	1.96%
Singles /BIP	22.22%	÷0.993	×0.930	×1.033	×1.033	22.22%
Doubles /BIP	7.41%	÷1.124	×0.830	×1.033	×1.033	5.84%
Triples /BIP	0.93%	÷1.133	×0.970	×1.033	×1.033	0.85%
Home runs /BIP	11.11%	÷0.996	×0.700	—	×1.033	8.07%

Factors used: league row International League. Park (home-season share, regressed): HR 99, 1B 99, 2B 125, 3B 127, K 103, BB 111 — 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 ×1.033.

Result: wOBA .380 → .302; ISO .269 → .195; BABIP .340 → .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).

2022 AAALas Vegas Aviators · 278 PAwOBA .365 → .291 (−74)K% 29.9% → 35.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	29.86%	÷1.009	×1.200	—	—	35.50%
BB% (unintentional) /PA	11.51%	÷0.992	×0.690	—	×1.048	8.39%
HBP% /PA	0.72%	—	×0.940	—	×1.048	0.71%
Singles /BIP	21.79%	÷0.995	×0.930	×0.977	×1.048	20.84%
Doubles /BIP	9.62%	÷1.088	×0.830	×0.977	×1.048	7.51%
Triples /BIP	0.64%	÷0.900	×0.970	×0.977	×1.048	0.71%
Home runs /BIP	8.33%	÷1.075	×0.700	—	×1.048	5.69%

Factors used: league row International League. Park (home-season share, regressed): HR 115, 1B 99, 2B 118, 3B 80, K 102, BB 98 — 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 ×0.977.

Result: wOBA .365 → .291; ISO .234 → .167; BABIP .338 → .298. 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 AASomerset Patriots · 443 PAwOBA .338 → .262 (−76)K% 37.9% → 45.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	37.92%	÷1.024	×1.220	—	—	45.20%
BB% (unintentional) /PA	11.51%	÷1.036	×0.690	—	×1.027	7.87%
HBP% /PA	0.68%	—	×0.850	—	×1.027	0.59%
Singles /BIP	17.51%	÷1.008	×0.940	×0.991	×1.027	16.62%
Doubles /BIP	5.07%	÷0.905	×0.870	×0.991	×1.027	4.96%
Triples /BIP	0.46%	÷0.900	×0.920	×0.991	×1.027	0.48%
Home runs /BIP	14.29%	÷1.053	×0.780	—	×1.027	10.86%

Factors used: level-wide AA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 111, 1B 102, 2B 81, 3B 80, K 105, BB 107 — 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 ×0.991.

Result: wOBA .338 → .262; ISO .275 → .205; BABIP .265 → .243. 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 A+Tampa Tarpons · 297 PAwOBA .336 → .243 (−93)K% 35.4% → 50.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	35.35%	÷0.989	×1.420	—	—	50.75%
BB% (unintentional) /PA	6.40%	÷1.055	×0.750	—	×1.027	4.67%
HBP% /PA	0.67%	—	×0.930	—	×1.027	0.64%
Singles /BIP	21.08%	÷1.072	×0.920	×0.950	×1.027	17.65%
Doubles /BIP	9.04%	÷0.954	×0.960	×0.950	×1.027	8.88%
Triples /BIP	0.00%	÷0.900	×0.810	×0.950	×1.027	0.00%
Home runs /BIP	10.24%	÷0.960	×0.880	—	×1.027	9.64%

Factors used: league row FSL. Park (home-season share, regressed): HR 92, 1B 114, 2B 91, 3B 80, K 98, BB 111 — 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 ×0.950.

Result: wOBA .336 → .243; ISO .244 → .182; BABIP .325 → .282. 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 ACharleston RiverDogs · 363 PAwOBA .329 → .257 (−71)K% 30.6% → 41.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	30.58%	÷0.991	×1.340	—	—	41.35%
BB% (unintentional) /PA	9.64%	÷1.092	×0.660	—	×1.030	6.00%
HBP% /PA	0.55%	—	×0.770	—	×1.030	0.44%
Singles /BIP	20.66%	÷1.020	×0.920	×0.960	×1.030	18.42%
Doubles /BIP	7.98%	÷0.961	×0.820	×0.960	×1.030	6.73%
Triples /BIP	0.94%	÷1.150	×0.940	×0.960	×1.030	0.76%
Home runs /BIP	7.04%	÷0.811	×0.820	—	×1.030	7.33%

Factors used: league row SAL. Park (home-season share, regressed): HR 62, 1B 104, 2B 92, 3B 130, K 98, BB 118 — 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 ×0.960.

Result: wOBA .329 → .257; ISO .204 → .177; BABIP .317 → .278. 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 ROKPulaski Yankees · 141 PAwOBA .409 → .285 (−124)K% 27.7% → 39.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	27.66%	÷1.000	×1.420	—	—	39.28%
BB% (unintentional) /PA	17.02%	÷1.000	×0.640	—	×1.008	10.98%
HBP% /PA	0.71%	—	×0.740	—	×1.008	0.53%
Singles /BIP	21.05%	÷1.000	×0.840	×0.952	×1.008	16.96%
Doubles /BIP	6.58%	÷1.000	×0.740	×0.952	×1.008	4.67%
Triples /BIP	1.32%	÷1.000	×0.740	×0.952	×1.008	0.93%
Home runs /BIP	11.84%	÷1.000	×0.800	—	×1.008	9.54%

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 ×0.952.

Result: wOBA .409 → .285; ISO .296 → .212; BABIP .324 → .246. 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 ACharleston RiverDogs · 125 PAwOBA .351 → .257 (−94)K% 33.6% → 47.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	33.60%	÷0.958	×1.340	—	—	46.98%
BB% (unintentional) /PA	11.20%	÷1.051	×0.660	—	×1.045	7.35%
HBP% /PA	0.00%	—	×0.770	—	×1.045	0.00%
Singles /BIP	14.71%	÷0.978	×0.920	×0.950	×1.045	13.73%
Doubles /BIP	8.82%	÷1.010	×0.820	×0.950	×1.045	7.11%
Triples /BIP	1.47%	÷0.900	×0.940	×0.950	×1.045	1.52%
Home runs /BIP	11.76%	÷0.945	×0.820	—	×1.045	10.67%

Factors used: league row SAL. Park (home-season share, regressed): HR 89, 1B 96, 2B 102, 3B 80, K 92, BB 110 — applied at half strength. Age: age 19 vs a level average of 22.0 → +4.5% on BB/HBP/hit rates (3.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .351 → .257; ISO .291 → .219; BABIP .279 → .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).

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