Andy Marte

Pos3B

B/TR/R

Born1983-10-21

Age (2027)43

No MLB projection yet. Career stats below are historical.

Overview

INTLLAST SEASON 2016

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2013	29	AAA/INTL2 orgs	248	.300/.343/.478	9	0	103	—	.292/.327/.469
2014	30	AAA/INTL2 orgs	602	.333/.396/.564	26	1	100	—	.240/.282/.373
2014	30	MLBARI	16	.188/.188/.375	1	0	49	0.1
2016	32	INTLAguilas Cibae…	20	.278/.350/.278	0	0	86	—
2017	33	No MLB games played
2018	34	No MLB games played
2019	35	No MLB games played
2020	36	No MLB games played
2021	37	No MLB games played
2022	38	No MLB games played
2023	39	No MLB games played
2024	40	No MLB games played
2025	41	No MLB games played
2026	42	No MLB games played

Last 3 seasons WAR 0.1

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)
2005	21	MLB	Atlanta Braves	—	66	57	8	2	1	0	7	13	0	0	1	140	234	211	445	70	174	20	11	206	26	-6	-0	-6	+2	+1	-0.9
2005	21	AAA	Richmond Braves	—	460	389	107	26	2	20	64	83	0	0	3	275	377	506	884	231	297	18	14	383	109	—	—	—	—	—	—
2006	22	MLB	Cleveland Indians	—	178	164	37	15	1	5	13	38	1	0	0	226	287	421	707	195	264	21	7	312	97	-1	+0	+3	+2	+4	0.9
2006	22	AAA	Buffalo Bisons	—	394	357	93	23	0	15	34	81	0	1	0	261	325	451	776	190	295	21	9	341	78	—	—	—	—	—	—
2007	23	MLB	Cleveland Indians	—	60	57	11	4	0	1	2	9	1	0	0	193	233	316	549	123	213	15	3	246	53	-3	+0	-1	+2	+1	-0.2
2007	23	AAA	Buffalo Bisons	—	379	352	94	17	1	16	21	64	2	0	0	267	312	457	769	190	283	17	6	336	81	—	—	—	—	—	—
2008	24	MLB	Cleveland Indians	—	257	235	52	11	1	3	14	52	1	1	2	221	268	315	583	94	272	20	5	257	60	-12	-1	+4	+1	+6	-0.2
2009	25	MLB	Cleveland Indians	—	175	155	36	6	1	6	14	30	1	0	0	232	300	400	700	168	244	17	8	304	89	-2	+0	-7	-9	+4	-1.5
2009	25	AAA	Columbus Clippers	—	326	300	98	24	1	18	22	50	0	3	0	327	373	593	966	267	340	15	7	414	118	—	—	—	—	—	—
2010	26	MLB	Cleveland Indians	—	188	170	39	7	2	5	17	35	0	0	3	229	299	382	682	153	260	19	9	304	93	-2	-1	-3	+1	+4	-0.1
2010	26	INTL	Tigres del Licey	—	60	50	7	1	0	2	7	13	0	0	0	140	246	280	526	140	135	22	12	232	43	—	—	—	—	—	—
2011	27	AAA	Indianapolis Indians	—	321	287	58	15	0	7	27	60	4	2	0	202	280	328	607	125	230	19	8	275	37	—	—	—	—	—	—
2011	27	INTL	Leones del Escogido	—	39	34	7	2	0	0	2	8	1	0	0	206	270	265	535	59	259	21	5	236	46	—	—	—	—	—	—
2013	29	AAA	Salt Lake Bees	—	103	94	34	2	0	6	7	16	0	0	0	362	406	574	980	213	378	16	7	422	109	—	—	—	—	—	—
2013	29	INTL	Aguilas Cibaenas	—	145	136	35	12	0	3	8	28	0	0	0	257	299	412	710	154	302	19	6	313	98	—	—	—	—	—	—
2014	30	MLB	Arizona Diamondbacks	—	16	16	3	0	0	1	0	3	0	0	0	188	188	375	562	188	167	19	0	243	49	-1	+0	-1	+2	+0	0.1
2014	30	AAA	Reno Aces	—	531	471	155	32	3	19	48	62	1	1	0	329	389	531	919	202	343	12	9	398	81	—	—	—	—	—	—
2014	30	INTL	Aguilas Cibaenas	—	71	61	22	7	0	7	10	13	0	0	0	361	451	820	1.270	459	366	18	14	532	246	—	—	—	—	—	—
2016	32	INTL	Aguilas Cibaenas	—	20	18	5	0	0	0	2	4	0	0	0	278	350	278	628		357	20	10	296	86	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	940	854	186	45	6	21	67	180	4	1	6	218	278	358	636	141	250	19	7	281	76	-27	-2	-10	+1	+20	-1.9
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2005	21	MLB MLE	Atlanta Braves	—	66	57	8	2	1	0	7	13	0	0	1	140	234	211	445	70	174	20	11	206	26	-6	-0	-6	+2	+1	-0.9
2005	21	AAA MLE	Richmond Braves	—	460	408	99	22	2	18	45	100	0	0	3	243	318	439	757	196	267	22	10	329	109	—	—	—	—	—	—
2006	22	MLB MLE	Cleveland Indians	—	178	164	37	15	1	5	13	38	1	0	0	226	287	421	707	195	264	21	7	312	97	-1	+0	+3	+2	+4	0.9
2006	22	AAA MLE	Buffalo Bisons	—	394	367	82	19	0	13	24	97	0	1	0	223	271	381	653	158	264	25	6	283	78	—	—	—	—	—	—
2007	23	MLB MLE	Cleveland Indians	—	60	57	11	4	0	1	2	9	1	0	0	193	233	316	549	123	213	15	3	246	53	-3	+0	-1	+2	+1	-0.2
2007	23	AAA MLE	Buffalo Bisons	—	379	359	85	14	1	14	14	77	2	0	0	237	269	398	668	162	257	20	4	288	81	—	—	—	—	—	—
2008	24	MLB MLE	Cleveland Indians	—	257	235	52	11	1	3	14	52	1	1	2	221	268	315	583	94	272	20	5	257	60	-12	-1	+4	+1	+6	-0.2
2009	25	MLB MLE	Cleveland Indians	—	175	156	36	6	1	6	13	30	1	0	0	231	294	397	692	167	244	17	7	300	89	-2	+0	-7	-9	+4	-1.5
2009	25	AAA MLE	Columbus Clippers	—	326	307	85	19	1	15	15	60	0	3	0	277	311	492	802	215	293	18	5	343	118	—	—	—	—	—	—
2010	26	MLB MLE	Cleveland Indians	—	188	170	39	7	2	5	17	35	0	0	3	229	299	382	682	153	260	19	9	306	93	-2	-1	-3	+1	+4	-0.1
2011	27	AAA MLE	Indianapolis Indians	—	321	295	50	13	0	6	19	72	4	2	0	169	230	275	504	105	197	22	6	223	37	—	—	—	—	—	—
2013	29	AAA MLE	Salt Lake Bees	—	103	96	28	2	0	5	5	21	0	0	0	292	327	469	795	177	308	20	5	329	109	—	—	—	—	—	—
2014	30	MLB MLE	Arizona Diamondbacks	—	16	16	3	0	0	1	0	3	0	0	0	188	188	375	562	188	167	19	0	241	49	-1	+0	-1	+2	+0	0.1
2014	30	AAA MLE	Reno Aces	—	531	496	119	23	2	13	28	83	1	1	0	240	282	373	655	133	258	16	5	288	81	—	—	—	—	—	—
2005	21	AAA MLE	2 teams	—	526	465	107	24	3	18	52	113	0	0	4	230	308	411	718	181	259	21	10	314	98	—	—	—	—	—	—
2005	21	AAA RAW	2 teams	—	526	446	115	28	3	20	71	96	0	0	4	258	360	469	828	211	280	18	13	361	98	—	—	—	—	—	—
2006	22	AAA MLE	2 teams	—	572	531	119	34	1	18	37	135	1	1	0	224	276	394	670	169	265	24	6	292	84	—	—	—	—	—	—
2006	22	AAA RAW	2 teams	—	572	521	130	38	1	20	47	119	1	1	0	250	313	441	754	192	286	21	8	332	84	—	—	—	—	—	—
2007	23	AAA MLE	2 teams	—	439	416	96	18	1	15	16	86	3	0	0	231	264	387	651	156	254	20	4	282	77	—	—	—	—	—	—
2007	23	AAA RAW	2 teams	—	439	409	105	21	1	17	23	73	3	0	0	257	301	438	739	181	272	17	5	323	77	—	—	—	—	—	—
2008	24	MLB MLE	Cleveland Indians	—	257	235	52	11	1	3	14	52	1	1	2	221	268	315	583	94	272	20	5	257	60	-12	-1	+4	+1	+6	-0.2
2008	24	MLB RAW	Cleveland Indians	—	257	235	52	11	1	3	14	52	1	1	2	221	268	315	583	94	272	20	5	257	60	-12	-1	+4	+1	+6	-0.2
2009	25	AAA MLE	2 teams	—	501	463	121	25	2	21	28	90	1	3	0	261	305	460	765	199	279	18	6	328	108	—	—	—	—	—	—
2009	25	AAA RAW	2 teams	—	501	455	134	30	2	24	36	80	1	3	0	295	348	527	875	233	307	16	7	376	108	—	—	—	—	—	—
2010	26	MLB MLE	2 teams	—	248	222	52	9	3	7	22	46	0	0	3	234	303	396	700	162	262	19	9	306	93	-2	-1	-3	+1	+5	0.0
2010	26	MLB RAW	2 teams	—	248	220	46	8	2	7	24	48	0	0	3	209	287	359	646	150	232	19	10	287	93	-2	-1	-3	+1	+5	0.0
2011	27	AAA MLE	2 teams	—	360	329	56	14	0	7	21	81	5	2	0	170	231	277	508	106	201	22	6	223	37	—	—	—	—	—	—
2011	27	AAA RAW	2 teams	—	360	321	65	17	0	7	29	68	5	2	0	202	279	321	600	118	233	19	8	271	37	—	—	—	—	—	—
2013	29	INTL MLE	2 teams	—	248	234	66	4	0	11	11	52	0	0	0	282	314	440	754	158	316	21	4	329	109	—	—	—	—	—	—
2013	29	INTL RAW	2 teams	—	248	230	69	14	0	9	15	44	0	0	0	300	343	478	821	178	333	18	6	358	109	—	—	—	—	—	—
2014	30	AAA MLE	3 teams	—	618	580	138	26	2	16	31	97	1	1	0	238	278	372	650	134	258	16	5	287	80	—	—	—	—	—	—
2014	30	AAA RAW	3 teams	—	618	548	180	39	3	27	58	78	1	1	0	328	391	558	949	230	341	13	9	409	80	—	—	—	—	—	—
2016	32	INTL MLE	Aguilas Cibaenas	—	20	18	5	0	0	0	2	4	0	0	0	278	350	278	628		357	20	10	—	—	—	—	—	—	—	—
2016	32	INTL RAW	Aguilas Cibaenas	—	20	18	5	0	0	0	2	4	0	0	0	278	350	278	628		357	20	10	296	86	—	—	—	—	—	—
2005	21	AAA MLE	2 teams	—	526	469	107	24	3	18	52	113	0	0	4	228	308	407	715	179	255	21	10	314	98	—	—	—	—	—	—
2006	22	AAA MLE	2 teams	—	572	529	119	34	1	18	37	135	1	1	0	225	276	395	671	170	264	24	6	292	84	—	—	—	—	—	—
2007	23	AAA MLE	2 teams	—	439	417	96	18	1	15	16	86	3	0	0	230	264	386	650	156	251	20	4	282	77	—	—	—	—	—	—
2008	24	MLB MLE	Cleveland Indians	—	257	240	52	11	1	3	14	52	1	1	2	217	268	308	576	92	272	20	5	257	60	—	—	—	—	—	—
2009	25	AAA MLE	2 teams	—	501	467	121	25	2	21	28	90	1	3	0	259	305	456	761	197	276	18	6	328	108	—	—	—	—	—	—
2010	26	MLB MLE	2 teams	—	248	224	52	9	3	7	22	46	0	0	3	232	303	393	696	161	260	19	9	306	93	—	—	—	—	—	—
2011	27	AAA MLE	2 teams	—	360	331	56	14	0	7	21	81	5	2	0	169	231	275	506	106	197	22	6	223	37	—	—	—	—	—	—
2013	29	INTL MLE	2 teams	—	248	235	66	4	0	11	11	52	0	0	0	281	314	438	753	157	308	21	4	329	109	—	—	—	—	—	—
2014	30	AAA MLE	3 teams	—	618	581	138	26	2	16	31	97	1	1	0	238	278	372	650	134	255	16	5	287	80	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	940	854	186	45	6	21	67	180	4	1	6	218	278	358	636	141	250	19	7	281	83	-27	-2	-10	+1	+20	-1.9
/ 162G	—	A+C		—	650	591	129	31	4	15	46	124	3	1	4	218	279	360	639	142	249	19	7	281	83	-18	-2	-7	+0	+14	-1.3
Career	—	MLE		—	3789	3493	812	165	13	116	234	756	12	8	9	232	283	387	670	154	262	20	6	291	83	-27	-2	-10	+1	+20	-1.9
/ 162G	—	MLE		—	650	599	139	28	2	20	40	130	2	1	2	232	282	386	668	154	261	20	6	291	83	-18	-2	-7	+0	+14	-1.3

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.

2014 AAAReno Aces · 531 PAwOBA .388 → .288 (−100)K% 11.7% → 15.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	11.68%	÷0.965	×1.290	—	—	15.61%
BB% (unintentional) /PA	7.91%	÷1.049	×0.710	—	×0.962	5.15%
HBP% /PA	0.19%	—	×0.980	—	×0.962	0.18%
Singles /BIP	24.69%	÷1.047	×0.900	×0.950	×0.962	19.40%
Doubles /BIP	7.82%	÷1.047	×0.810	×0.950	×0.962	5.53%
Triples /BIP	0.73%	÷1.150	×0.810	×0.950	×0.962	0.47%
Home runs /BIP	4.65%	÷1.116	×0.780	—	×0.962	3.12%

Factors used: league row PCL. Park (home-season share, regressed): HR 123, 1B 109, 2B 109, 3B 130, K 93, BB 110 — applied at half strength. Age: age 31 vs a level average of 27.2 → −3.8% on BB/HBP/hit rates (3.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .388 → .288; ISO .202 → .141; BABIP .343 → .258. 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 AAASalt Lake Bees · 103 PAwOBA .418 → .329 (−90)K% 15.5% → 20.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.53%	÷0.964	×1.290	—	—	20.78%
BB% (unintentional) /PA	6.80%	÷1.016	×0.710	—	×0.972	4.62%
HBP% /PA	0.00%	—	×0.980	—	×0.972	0.00%
Singles /BIP	33.33%	÷0.997	×0.900	×0.950	×0.972	27.78%
Doubles /BIP	2.56%	÷0.977	×0.810	×0.950	×0.972	1.96%
Triples /BIP	0.00%	÷1.150	×0.810	×0.950	×0.972	0.00%
Home runs /BIP	7.69%	÷0.973	×0.780	—	×0.972	6.00%

Factors used: league row PCL. Park (home-season share, regressed): HR 95, 1B 99, 2B 95, 3B 130, K 93, BB 103 — applied at half strength. Age: age 30 vs a level average of 27.2 → −2.8% on BB/HBP/hit rates (2.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .418 → .329; ISO .213 → .163; BABIP .378 → .308. 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 AAAIndianapolis Indians · 321 PAwOBA .269 → .223 (−47)K% 18.7% → 22.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.69%	÷0.995	×1.200	—	—	22.53%
BB% (unintentional) /PA	8.41%	÷0.978	×0.690	—	×0.992	5.89%
HBP% /PA	1.25%	—	×0.940	—	×0.992	1.16%
Singles /BIP	15.86%	÷1.008	×0.930	×0.950	×0.992	13.78%
Doubles /BIP	6.61%	÷0.927	×0.830	×0.950	×0.992	5.58%
Triples /BIP	0.00%	÷0.984	×0.970	×0.950	×0.992	0.00%
Home runs /BIP	3.08%	÷0.955	×0.840	—	×0.992	2.69%

Factors used: league row IL. Park (home-season share, regressed): HR 91, 1B 102, 2B 85, 3B 97, K 99, BB 96 — applied at half strength. Age: age 28 vs a level average of 27.2 → −0.8% on BB/HBP/hit rates (0.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .269 → .223; ISO .125 → .108; BABIP .230 → .197. 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).

2009 AAAColumbus Clippers · 326 PAwOBA .405 → .343 (−62)K% 15.3% → 18.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.34%	÷1.000	×1.200	—	—	18.40%
BB% (unintentional) /PA	6.44%	÷1.000	×0.690	—	×1.018	4.52%
HBP% /PA	0.00%	—	×0.940	—	×1.018	0.00%
Singles /BIP	22.00%	÷1.000	×0.930	×0.950	×1.018	19.79%
Doubles /BIP	9.60%	÷1.000	×0.830	×0.950	×1.018	7.71%
Triples /BIP	0.40%	÷1.000	×0.970	×0.950	×1.018	0.38%
Home runs /BIP	7.20%	÷1.000	×0.840	—	×1.018	6.16%

Factors used: league row IL. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 26 vs a level average of 27.2 → +1.8% on BB/HBP/hit rates (1.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .405 → .343; ISO .267 → .226; BABIP .340 → .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).

2007 AAABuffalo Bisons · 379 PAwOBA .327 → .288 (−40)K% 16.9% → 20.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.89%	÷1.000	×1.200	—	—	20.26%
BB% (unintentional) /PA	5.01%	÷1.000	×0.690	—	×1.048	3.63%
HBP% /PA	0.53%	—	×0.940	—	×1.048	0.52%
Singles /BIP	20.83%	÷1.000	×0.930	×0.961	×1.048	19.52%
Doubles /BIP	5.90%	÷1.000	×0.830	×0.961	×1.048	4.94%
Triples /BIP	0.35%	÷1.000	×0.970	×0.961	×1.048	0.34%
Home runs /BIP	5.56%	÷1.000	×0.840	—	×1.048	4.89%

Factors used: league row IL. Park (home-season share, regressed): no park row on file (treated as neutral) — 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 ×0.961.

Result: wOBA .327 → .288; ISO .190 → .165; BABIP .283 → .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).

2006 AAABuffalo Bisons · 394 PAwOBA .333 → .283 (−50)K% 20.6% → 24.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.56%	÷1.000	×1.200	—	—	24.67%
BB% (unintentional) /PA	8.38%	÷1.000	×0.690	—	×1.050	6.07%
HBP% /PA	0.00%	—	×0.940	—	×1.050	0.00%
Singles /BIP	19.93%	÷1.000	×0.930	×0.950	×1.050	18.49%
Doubles /BIP	8.33%	÷1.000	×0.830	×0.950	×1.050	6.90%
Triples /BIP	0.00%	÷1.000	×0.970	×0.950	×1.050	0.00%
Home runs /BIP	5.43%	÷1.000	×0.840	—	×1.050	4.79%

Factors used: league row IL. Park (home-season share, regressed): no park row on file (treated as neutral) — 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 ×0.950.

Result: wOBA .333 → .283; ISO .190 → .163; BABIP .295 → .264. 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).

2005 AAARichmond Braves · 460 PAwOBA .378 → .329 (−49)K% 18.0% → 21.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.04%	÷1.000	×1.200	—	—	21.65%
BB% (unintentional) /PA	13.48%	÷1.000	×0.690	—	×1.050	9.76%
HBP% /PA	0.00%	—	×0.940	—	×1.050	0.00%
Singles /BIP	19.28%	÷1.000	×0.930	×0.956	×1.050	18.01%
Doubles /BIP	8.50%	÷1.000	×0.830	×0.956	×1.050	7.08%
Triples /BIP	0.65%	÷1.000	×0.970	×0.956	×1.050	0.64%
Home runs /BIP	6.54%	÷1.000	×0.840	—	×1.050	5.76%

Factors used: league row IL. Park (home-season share, regressed): no park row on file (treated as neutral) — 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 ×0.956.

Result: wOBA .378 → .329; ISO .231 → .208; BABIP .297 → .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).

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