Hamlet Marte

PosC

B/TR/R

Born1994-02-03

Age (2027)33

No MLB projection yet. Career stats below are historical.

Overview

AALAST SEASON 2023

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2021	27	AAA/AA2 orgs	145	.206/.278/.328	3	1	31	—	.180/.230/.267
2022	28	INTLToros del Este	16	.267/.312/.467	1	0	118	—
2023	29	AALAD	102	.157/.255/.270	3	1	14	—	.129/.206/.204

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. Catcher framing: only 2027 Statcast framing is modeled (Baseball Savant server-caches the leaderboard to the current season); prior-year framing is unmodeled — projections for established framers may run 1-3 WAR low.

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)
2011	17	ROK	DSL Rockies	—	87	72	13	8	0	0	8	18	4	0	1	181	298	292	589	111	232	21	9	268	11	—	—	—	—	—	—
2012	18	ROK	DSL Rockies	—	85	73	13	2	0	0	10	16	0	1	3	178	277	205	483	27	228	19	12	229	-8	—	—	—	—	—	—
2013	19	ROK	DSL Rockies	—	234	199	58	9	1	7	22	31	9	7	2	291	387	452	839	161	311	13	9	371	47	—	—	—	—	—	—
2014	20	ROK	Grand Junction Rockies	—	188	167	55	14	2	4	17	37	4	6	5	329	404	509	913	180	405	20	9	404	80	—	—	—	—	—	—
2016	22	A	Asheville Tourists	—	261	241	57	15	2	6	12	83	0	6	4	237	273	390	663	154	327	32	5	284	22	—	—	—	—	—	—
2017	23	A+	Lancaster JetHawks	—	266	243	75	20	2	9	21	63	0	2	0	309	362	519	881	210	384	24	8	384	64	—	—	—	—	—	—
2017	23	INTL	Estrellas Orientales	—	20	18	3	0	0	1	2	6	0	0	0	167	250	333	583	167	182	30	10	264	65	—	—	—	—	—	—
2018	24	A+	Rancho Cucamonga Quakes	—	291	257	70	15	2	12	29	67	2	1	0	272	351	486	837	214	320	23	10	365	71	—	—	—	—	—	—
2018	24	INTL	Estrellas Orientales	—	21	18	5	1	0	0	3	6	0	0	0	278	381	333	714	56	417	29	14	333	112	—	—	—	—	—	—
2019	25	AA	Richmond Flying Squirrels	—	210	187	35	5	1	2	16	66	2	2	3	187	257	257	514	70	270	31	8	235	13	—	—	—	—	—	—
2019	25	A+	San Jose Giants	—	63	53	13	3	0	0	9	16	0	0	0	245	355	302	657	57	342	25	14	304	46	—	—	—	—	—	—
2021	27	AAA	Oklahoma City Dodgers	—	120	111	21	5	1	3	8	50	1	0	0	189	250	333	583	144	310	42	7	262	21	—	—	—	—	—	—
2021	27	AA	Tulsa Drillers	—	25	20	6	0	0	0	4	6	0	1	0	300	417	300	717		400	24	16	329	77	—	—	—	—	—	—
2022	28	INTL	Toros del Este	—	16	15	4	0	0	1	1	8	0	0	0	267	312	467	779	200	500	50	6	343	118	—	—	—	—	—	—
2023	29	AA	Tulsa Drillers	—	102	89	14	1	0	3	11	25	1	1	0	157	255	270	525	112	180	25	11	245	14	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2011	17	ROK MLE	DSL Rockies	—	87	74	9	5	0	0	6	22	4	0	1	122	226	189	415	68	152	25	7	185	11	—	—	—	—	—	—
2012	18	ROK MLE	DSL Rockies	—	85	76	9	1	0	0	7	20	0	1	3	118	193	132	324	13	155	24	8	156	-8	—	—	—	—	—	—
2013	19	ROK MLE	DSL Rockies	—	234	206	38	6	1	3	15	38	9	7	2	184	270	267	537	83	198	16	6	237	47	—	—	—	—	—	—
2014	20	ROK MLE	Grand Junction Rockies	—	188	174	42	10	1	3	10	53	4	6	5	241	298	362	660	121	331	28	5	287	80	—	—	—	—	—	—
2016	22	A MLE	Asheville Tourists	—	261	245	43	9	2	3	8	115	0	6	4	176	202	265	467	90	284	44	3	201	22	—	—	—	—	—	—
2017	23	A+ MLE	Lancaster JetHawks	—	266	250	55	14	1	5	15	94	0	2	0	220	264	344	608	124	330	35	6	263	64	—	—	—	—	—	—
2018	24	A+ MLE	Rancho Cucamonga Quakes	—	291	267	56	11	1	10	19	94	2	1	0	210	267	371	638	161	270	32	7	273	71	—	—	—	—	—	—
2019	25	AA MLE	Richmond Flying Squirrels	—	210	193	30	4	1	2	11	83	2	2	3	155	209	218	426	62	242	40	5	188	13	—	—	—	—	—	—
2019	25	A+ MLE	San Jose Giants	—	63	55	10	2	0	0	7	22	0	0	0	182	274	218	492	36	295	35	11	236	46	—	—	—	—	—	—
2021	27	AAA MLE	Oklahoma City Dodgers	—	120	114	18	4	1	2	5	60	1	0	0	158	200	263	463	105	303	50	4	199	21	—	—	—	—	—	—
2021	27	AA MLE	Tulsa Drillers	—	25	21	6	0	0	0	3	8	0	1	0	286	375	286	661		358	32	12	282	77	—	—	—	—	—	—
2023	29	AA MLE	Tulsa Drillers	—	102	93	12	1	0	2	8	30	1	1	0	129	206	204	410	75	163	29	8	189	14	—	—	—	—	—	—
2011	17	ROK MLE	DSL Rockies	—	87	74	9	5	0	0	6	22	4	0	1	122	226	189	415	68	167	25	7	185	11	—	—	—	—	—	—
2011	17	ROK RAW	DSL Rockies	—	87	72	13	8	0	0	8	18	4	0	1	181	298	292	589	111	232	21	9	268	11	—	—	—	—	—	—
2012	18	ROK MLE	DSL Rockies	—	85	76	9	1	0	0	7	20	0	1	3	118	193	132	324	13	161	24	8	156	-8	—	—	—	—	—	—
2012	18	ROK RAW	DSL Rockies	—	85	73	13	2	0	0	10	16	0	1	3	178	277	205	483	27	228	19	12	229	-8	—	—	—	—	—	—
2013	19	ROK MLE	DSL Rockies	—	234	206	38	6	1	3	15	38	9	7	2	184	270	267	537	83	208	16	6	237	47	—	—	—	—	—	—
2013	19	ROK RAW	DSL Rockies	—	234	199	58	9	1	7	22	31	9	7	2	291	387	452	839	161	311	13	9	371	47	—	—	—	—	—	—
2014	20	ROK MLE	Grand Junction Rockies	—	188	174	42	10	1	3	10	53	4	6	5	241	298	362	660	121	331	28	5	287	80	—	—	—	—	—	—
2014	20	ROK RAW	Grand Junction Rockies	—	188	167	55	14	2	4	17	37	4	6	5	329	404	509	913	180	405	20	9	404	80	—	—	—	—	—	—
2016	22	A MLE	Asheville Tourists	—	261	245	43	9	2	3	8	115	0	6	4	176	202	265	467	90	305	44	3	201	22	—	—	—	—	—	—
2016	22	A RAW	Asheville Tourists	—	261	241	57	15	2	6	12	83	0	6	4	237	273	390	663	154	327	32	5	284	22	—	—	—	—	—	—
2017	23	A+ MLE	2 teams	—	286	269	59	15	1	5	16	101	0	2	0	219	263	338	601	119	329	35	6	263	64	—	—	—	—	—	—
2017	23	A+ RAW	2 teams	—	286	261	78	20	2	10	23	69	0	2	0	299	354	506	860	207	372	24	8	376	64	—	—	—	—	—	—
2018	24	A+ MLE	2 teams	—	312	286	58	11	1	10	21	100	2	1	0	203	262	353	615	150	268	32	7	273	71	—	—	—	—	—	—
2018	24	A+ RAW	2 teams	—	312	275	75	16	2	12	32	73	2	1	0	273	353	476	829	204	326	23	10	363	71	—	—	—	—	—	—
2019	25	AA MLE	2 teams	—	273	248	41	7	1	2	18	105	2	2	3	165	228	226	453	60	269	38	7	199	21	—	—	—	—	—	—
2019	25	AA RAW	2 teams	—	273	240	48	8	1	2	25	82	2	2	3	200	280	267	547	67	287	30	9	251	21	—	—	—	—	—	—
2021	27	AAA MLE	2 teams	—	145	135	23	4	1	2	8	68	1	1	0	170	222	259	481	89	318	47	6	213	31	—	—	—	—	—	—
2021	27	AAA RAW	2 teams	—	145	131	27	5	1	3	12	56	1	1	0	206	278	328	606	122	329	39	8	274	31	—	—	—	—	—	—
2022	28	INTL MLE	Toros del Este	—	16	15	4	0	0	1	1	8	0	0	0	267	312	467	779	200	500	50	6	—	—	—	—	—	—	—	—
2022	28	INTL RAW	Toros del Este	—	16	15	4	0	0	1	1	8	0	0	0	267	312	467	779	200	500	50	6	343	118	—	—	—	—	—	—
2023	29	AA MLE	Tulsa Drillers	—	102	93	12	1	0	2	8	30	1	1	0	129	206	204	410	75	164	29	8	189	14	—	—	—	—	—	—
2023	29	AA RAW	Tulsa Drillers	—	102	89	14	1	0	3	11	25	1	1	0	157	255	270	525	112	180	25	11	245	14	—	—	—	—	—	—
2011	17	ROK MLE	DSL Rockies	—	87	77	9	5	0	0	6	22	4	0	1	117	226	182	408	65	152	25	7	185	11	—	—	—	—	—	—
2012	18	ROK MLE	DSL Rockies	—	85	78	9	1	0	0	7	20	0	1	3	115	193	128	321	13	155	24	8	156	-8	—	—	—	—	—	—
2013	19	ROK MLE	DSL Rockies	—	234	208	38	6	1	3	15	38	9	7	2	183	270	264	534	82	198	16	6	237	47	—	—	—	—	—	—
2014	20	ROK MLE	Grand Junction Rockies	—	188	172	42	10	1	3	10	53	4	6	5	244	298	366	664	122	331	28	5	287	80	—	—	—	—	—	—
2016	22	A MLE	Asheville Tourists	—	261	251	43	9	2	3	8	115	0	6	4	171	202	259	461	88	284	44	3	201	22	—	—	—	—	—	—
2017	23	A+ MLE	2 teams	—	286	268	59	15	1	5	16	101	0	2	0	220	263	340	603	119	330	35	6	263	64	—	—	—	—	—	—
2018	24	A+ MLE	2 teams	—	312	286	58	11	1	10	21	100	2	1	0	203	262	353	615	150	270	32	7	273	71	—	—	—	—	—	—
2019	25	AA MLE	2 teams	—	273	251	41	7	1	2	18	105	2	2	3	163	228	223	451	60	254	38	7	199	21	—	—	—	—	—	—
2021	27	AAA MLE	2 teams	—	145	135	23	4	1	2	8	68	1	1	0	170	222	259	481	89	312	47	6	213	31	—	—	—	—	—	—
2023	29	AA MLE	Tulsa Drillers	—	102	92	12	1	0	2	8	30	1	1	0	130	206	207	412	76	163	29	8	189	14	—	—	—	—	—	—
▸ Career Totals
Career	—	MLE		—	1989	1821	338	69	8	31	118	660	23	27	18	186	244	283	527	98	267	33	6	229	41	-139	-2	+0	+36	+43	-6.3
/ 162G	—	MLE		—	650	595	111	23	3	10	39	216	8	9	6	187	246	286	532	99	269	33	6	229	41	-45	-1	+0	+12	+14	-2.1

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.

2023 AATulsa Drillers · 102 PAwOBA .239 → .189 (−50)K% 24.5% → 29.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.51%	÷1.023	×1.220	—	—	29.22%
BB% (unintentional) /PA	10.78%	÷0.973	×0.700	—	×0.958	7.43%
HBP% /PA	0.98%	—	×0.870	—	×0.958	0.82%
Singles /BIP	15.62%	÷0.992	×0.920	×1.037	×0.958	14.39%
Doubles /BIP	1.56%	÷0.942	×0.840	×1.037	×0.958	1.38%
Triples /BIP	0.00%	÷0.900	×0.940	×1.037	×0.958	0.00%
Home runs /BIP	4.69%	÷1.083	×0.800	—	×0.958	3.32%

Factors used: league row TL. Park (home-season share, regressed): HR 117, 1B 98, 2B 88, 3B 80, K 105, BB 95 — applied at half strength. Age: age 29 vs a level average of 24.8 → −4.2% on BB/HBP/hit rates (4.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.037.

Result: wOBA .239 → .189; ISO .112 → .081; BABIP .180 → .163. 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 AAAOklahoma City Dodgers · 120 PAwOBA .255 → .199 (−56)K% 41.7% → 50.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	41.67%	÷0.994	×1.200	—	—	50.28%
BB% (unintentional) /PA	6.67%	÷1.015	×0.690	—	×1.003	4.55%
HBP% /PA	0.83%	—	×0.940	—	×1.003	0.79%
Singles /BIP	19.67%	÷0.958	×0.930	×1.043	×1.003	19.98%
Doubles /BIP	8.20%	÷0.941	×0.830	×1.043	×1.003	7.57%
Triples /BIP	1.64%	÷0.900	×0.920	×1.043	×1.003	1.75%
Home runs /BIP	4.92%	÷1.016	×0.700	—	×1.003	3.40%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 103, 1B 92, 2B 88, 3B 80, K 99, BB 103 — 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 ×1.043.

Result: wOBA .255 → .199; ISO .144 → .102; BABIP .310 → .303. 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 AATulsa Drillers · 25 PAwOBA .335 → .282 (−53)K% 24.0% → 30.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.00%	÷0.966	×1.220	—	—	30.30%
BB% (unintentional) /PA	16.00%	÷1.051	×0.690	—	×0.978	10.28%
HBP% /PA	0.00%	—	×0.850	—	×0.978	0.00%
Singles /BIP	42.86%	÷1.030	×0.940	—	×0.978	38.24%
Doubles /BIP	0.00%	÷1.026	×0.870	—	×0.978	0.00%
Triples /BIP	0.00%	÷0.900	×0.920	—	×0.978	0.00%
Home runs /BIP	0.00%	÷0.935	×0.780	—	×0.978	0.00%

Factors used: level-wide AA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 87, 1B 106, 2B 105, 3B 80, K 93, BB 110 — applied at half strength. Age: age 27 vs a level average of 24.8 → −2.2% on BB/HBP/hit rates (2.2 yr older than average).

Result: wOBA .335 → .282; ISO .000 → .000; BABIP .400 → .358. 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 AARichmond Flying Squirrels · 210 PAwOBA .232 → .188 (−44)K% 31.4% → 39.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	31.43%	÷0.975	×1.220	—	—	39.31%
BB% (unintentional) /PA	7.62%	÷1.011	×0.700	—	×0.998	5.26%
HBP% /PA	0.95%	—	×0.850	—	×0.998	0.81%
Singles /BIP	22.31%	÷1.020	×0.970	×0.950	×0.998	20.11%
Doubles /BIP	4.13%	÷0.916	×0.860	×0.950	×0.998	3.68%
Triples /BIP	0.83%	÷1.147	×0.950	×0.950	×0.998	0.65%
Home runs /BIP	1.65%	÷0.890	×0.780	—	×0.998	1.45%

Factors used: league row EL. Park (home-season share, regressed): HR 78, 1B 104, 2B 83, 3B 129, K 95, BB 102 — applied at half strength. Age: age 25 vs a level average of 24.8 → −0.2% on BB/HBP/hit rates (0.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .232 → .188; ISO .070 → .057; BABIP .270 → .242. 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+San Jose Giants · 63 PAwOBA .302 → .236 (−67)K% 25.4% → 34.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.40%	÷0.975	×1.340	—	—	34.91%
BB% (unintentional) /PA	14.29%	÷0.936	×0.710	—	×0.978	10.59%
HBP% /PA	0.00%	—	×0.790	—	×0.978	0.00%
Singles /BIP	27.03%	÷1.017	×0.910	—	×0.978	23.65%
Doubles /BIP	8.11%	÷0.973	×0.820	—	×0.978	6.68%
Triples /BIP	0.00%	÷0.903	×0.760	—	×0.978	0.00%
Home runs /BIP	0.00%	÷0.947	×0.920	—	×0.978	0.00%

Factors used: league row CAL. Park (home-season share, regressed): HR 89, 1B 103, 2B 95, 3B 81, K 95, BB 87 — applied at half strength. Age: age 25 vs a level average of 22.8 → −2.2% on BB/HBP/hit rates (2.2 yr older than average).

Result: wOBA .302 → .236; ISO .057 → .043; BABIP .342 → .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).

2018 A+Rancho Cucamonga Quakes · 291 PAwOBA .359 → .273 (−86)K% 23.0% → 32.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.02%	÷0.957	×1.340	—	—	32.25%
BB% (unintentional) /PA	9.97%	÷1.066	×0.710	—	×0.988	6.56%
HBP% /PA	0.69%	—	×0.790	—	×0.988	0.54%
Singles /BIP	21.58%	÷1.025	×0.910	×1.018	×0.988	19.28%
Doubles /BIP	7.89%	÷1.076	×0.820	×1.018	×0.988	6.05%
Triples /BIP	1.05%	÷1.150	×0.760	×1.018	×0.988	0.70%
Home runs /BIP	6.32%	÷1.058	×0.920	—	×0.988	5.43%

Factors used: league row CAL. Park (home-season share, regressed): HR 112, 1B 105, 2B 115, 3B 130, K 91, BB 113 — 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 ×1.018.

Result: wOBA .359 → .273; ISO .214 → .163; BABIP .320 → .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).

2017 A+Lancaster JetHawks · 266 PAwOBA .375 → .263 (−112)K% 23.7% → 35.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.68%	÷0.897	×1.340	—	—	35.38%
BB% (unintentional) /PA	7.89%	÷1.017	×0.710	—	×0.998	5.50%
HBP% /PA	0.00%	—	×0.790	—	×0.998	0.00%
Singles /BIP	24.44%	÷1.004	×0.910	×1.019	×0.998	22.54%
Doubles /BIP	11.11%	÷1.039	×0.820	×1.019	×0.998	8.92%
Triples /BIP	1.11%	÷1.136	×0.760	×1.019	×0.998	0.76%
Home runs /BIP	5.00%	÷1.600	×0.920	—	×0.998	2.87%

Factors used: league row CAL. Park (home-season share, regressed): HR 220, 1B 101, 2B 108, 3B 127, K 79, BB 103 — applied at half strength. Age: age 23 vs a level average of 22.8 → −0.2% on BB/HBP/hit rates (0.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.019.

Result: wOBA .375 → .263; ISO .210 → .123; BABIP .384 → .330. 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 AAsheville Tourists · 261 PAwOBA .280 → .201 (−79)K% 31.8% → 44.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	31.80%	÷0.969	×1.340	—	—	43.98%
BB% (unintentional) /PA	4.60%	÷0.987	×0.660	—	—	3.07%
HBP% /PA	0.00%	—	×0.770	—	—	0.00%
Singles /BIP	21.52%	÷0.964	×0.920	×1.019	—	20.92%
Doubles /BIP	9.49%	÷1.267	×0.820	×1.019	—	6.26%
Triples /BIP	1.27%	÷0.900	×0.940	×1.019	—	1.35%
Home runs /BIP	3.80%	÷1.232	×0.820	—	—	2.53%

Factors used: league row SAL. Park (home-season share, regressed): HR 146, 1B 93, 2B 153, 3B 80, K 94, BB 97 — 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 ×1.019.

Result: wOBA .280 → .201; ISO .154 → .095; BABIP .327 → .284. 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 — .