José Reyes

PosSS

B/TS/R

Born1983-06-11

Age (2027)44

No MLB projection yet. Career stats below are historical.

Overview

MLBLAST SEASON 2018

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2016	33	AAA/AA2 orgs	73	.258/.361/.371	2	4	55	—	.212/.277/.273
2016	33	MLBNYM	279	.267/.327/.443	8	9	120	1.4
2017	34	MLBNYM	561	.246/.316/.413	15	24	107	1.9
2018	35	MLBNYM	251	.189/.260/.320	4	5	66	-0.4
2019	36	No MLB games played
2020	37	No MLB games played
2021	38	No MLB games played
2022	39	No MLB games played
2023	40	No MLB games played
2024	41	No MLB games played
2025	42	No MLB games played
2026	43	No MLB games played

Last 3 seasons WAR 3.0

Contract

No contract data on file.

Skills · percentileStatcast 2016-2018

Speed50

xwOBA31

Barrel%10

Avg EV10

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)
2003	20	MLB	New York Mets	—	292	274	84	12	4	5	13	36	0	13	3	307	338	434	772	128	335	12	4	337	114	+5	+1	+9	+3	+6	2.5
2004	21	MLB	New York Mets	—	229	220	56	16	2	2	5	31	0	19	2	255	271	373	644	118	289	14	2	279	75	-7	+3	+3	+1	+5	0.5
2005	22	MLB	New York Mets	—	733	696	190	24	17	7	27	78	2	60	15	273	302	386	689	114	298	11	4	302	91	-8	+6	+5	+8	+16	2.7
2006	23	MLB	New York Mets	—	703	647	194	30	17	19	53	81	1	64	17	300	354	487	841	187	320	12	8	369	131	+26	+6	+12	+8	+15	6.8
2007	24	MLB	New York Mets	—	765	681	191	36	12	12	77	78	1	78	21	280	354	421	776	141	302	10	10	345	111	+10	+7	+19	+8	+17	6.2
2008	25	MLB	New York Mets	—	763	688	204	37	19	16	66	82	1	56	15	297	359	475	834	179	317	11	9	364	128	+25	+5	+9	+8	+17	6.5
2009	26	MLB	New York Mets	—	166	147	41	7	2	2	18	19	0	11	2	279	358	395	752	116	307	11	11	338	112	+2	+1	+1	+2	+4	1.0
2010	27	MLB	New York Mets	—	603	563	159	29	10	11	31	63	2	30	10	282	322	428	750	146	301	10	5	328	111	+8	+2	+1	+6	+13	3.2
2011	28	MLB	New York Mets	—	586	537	181	31	16	7	43	41	0	39	7	337	386	493	880	156	353	7	7	384	146	+32	+5	+2	+6	+13	6.0
2012	29	MLB	Miami Marlins	—	716	642	184	37	12	11	63	56	0	40	11	287	350	433	783	146	298	8	9	344	121	+18	+4	+2	+8	+16	4.7
2013	30	MLB	Toronto Blue Jays	—	419	382	113	20	0	10	34	47	1	15	6	296	355	427	782	131	315	11	8	349	119	+10	+1	+1	+5	+9	2.6
2013	30	AAA	Buffalo Bisons	—	17	17	7	1	0	0	0	0	0	1	0	412	412	471	882	59	412	0	0	395	118	—	—	—	—	—	—
2014	31	MLB	Toronto Blue Jays	—	655	610	175	33	4	9	38	73	1	30	2	287	330	398	728	111	312	11	6	323	103	+3	+5	+3	+7	+14	3.3
2015	32	MLB	Colorado Rockies	—	519	481	132	25	2	7	26	62	0	24	6	274	312	378	690	104	301	12	5	302	83	-11	+2	-1	+6	+11	0.8
2016	33	MLB	New York Mets	—	279	255	68	13	4	8	23	49	0	9	2	267	327	443	770	176	302	18	8	340	120	+7	+1	-1	+1	+6	1.4
2016	33	AAA	Albuquerque Isotopes	—	40	33	10	0	0	2	7	4	0	3	0	303	425	485	910	182	296	10	18	407	82	—	—	—	—	—	—
2016	33	AA	Binghamton Mets	—	33	29	6	1	0	0	3	3	0	1	1	207	281	241	523	34	222	9	9	239	23	—	—	—	—	—	—
2017	34	MLB	New York Mets	—	561	501	123	25	7	15	50	79	2	24	6	246	316	413	730	168	263	14	9	320	107	+5	+2	-6	+6	+12	1.9
2018	35	MLB	New York Mets	—	251	228	43	12	3	4	22	39	0	5	2	189	260	320	580	132	211	16	9	262	66	-10	+0	+0	+1	+5	-0.4
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	8240	7552	2138	387	131	145	589	914	11	517	127	283	336	427	763	144	305	11	7	335	113	+129	+53	+59	+83	+179	51.3
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2003	20	MLB MLE	New York Mets	—	292	274	84	12	4	5	13	36	0	13	3	307	338	434	772	128	335	12	4	337	114	+5	+1	+9	+3	+6	2.5
2004	21	MLB MLE	New York Mets	—	229	220	56	16	2	2	5	31	0	19	2	255	271	373	644	118	289	14	2	279	75	-7	+3	+3	+1	+5	0.5
2005	22	MLB MLE	New York Mets	—	733	696	190	24	17	7	27	78	2	60	15	273	302	386	689	114	298	11	4	302	91	-8	+6	+5	+8	+16	2.7
2006	23	MLB MLE	New York Mets	—	703	653	194	30	17	19	47	81	1	64	17	297	345	482	828	185	320	12	7	363	131	+26	+6	+12	+8	+15	6.8
2007	24	MLB MLE	New York Mets	—	765	694	191	36	12	12	64	78	1	78	21	275	337	414	751	138	302	10	8	333	111	+10	+7	+19	+8	+17	6.2
2008	25	MLB MLE	New York Mets	—	763	696	204	37	19	16	58	82	1	56	15	293	348	470	818	177	317	11	8	357	128	+25	+5	+9	+8	+17	6.5
2009	26	MLB MLE	New York Mets	—	166	148	41	7	2	2	17	19	0	11	2	277	352	392	743	115	307	11	10	334	112	+2	+1	+1	+2	+4	1.0
2010	27	MLB MLE	New York Mets	—	603	567	164	31	10	11	27	63	2	30	10	289	324	437	761	148	301	10	4	333	111	+8	+2	+1	+6	+13	3.2
2011	28	MLB MLE	New York Mets	—	586	546	187	33	17	7	34	41	0	39	7	342	381	504	885	161	353	7	6	384	146	+32	+5	+2	+6	+13	6.0
2012	29	MLB MLE	Miami Marlins	—	716	651	191	40	13	12	54	56	0	40	11	293	348	450	798	157	298	8	8	347	121	+18	+4	+2	+8	+16	4.7
2013	30	MLB MLE	Toronto Blue Jays	—	419	384	113	20	0	10	32	47	1	15	6	294	350	424	775	130	315	11	8	345	119	+10	+1	+1	+5	+9	2.6
2013	30	AAA MLE	Buffalo Bisons	—	17	17	7	1	0	0	0	0	0	1	0	412	412	471	882	59	370	0	0	342	118	—	—	—	—	—	—
2014	31	MLB MLE	Toronto Blue Jays	—	655	611	174	33	4	9	37	73	1	30	2	285	327	396	723	111	312	11	6	321	103	+3	+5	+3	+7	+14	3.3
2015	32	MLB MLE	Colorado Rockies	—	519	481	126	24	1	6	26	62	0	24	6	262	300	353	653	91	301	12	5	290	83	-11	+2	-1	+6	+11	0.8
2016	33	MLB MLE	New York Mets	—	279	256	70	14	4	8	22	49	0	9	2	273	331	453	784	180	302	18	8	345	120	+7	+1	-1	+1	+6	1.4
2016	33	AAA MLE	Albuquerque Isotopes	—	40	36	8	0	0	1	4	5	0	3	0	222	300	306	606	83	237	12	10	290	82	—	—	—	—	—	—
2016	33	AA MLE	Binghamton Mets	—	33	30	6	1	0	0	2	3	0	1	1	200	250	233	483	33	192	9	6	202	23	—	—	—	—	—	—
2017	34	MLB MLE	New York Mets	—	561	502	127	27	7	15	49	79	2	24	6	253	322	424	746	171	263	14	9	327	107	+5	+2	-6	+6	+12	1.9
2018	35	MLB MLE	New York Mets	—	251	229	45	13	3	4	21	39	0	5	2	197	264	332	596	135	211	16	8	266	66	-10	+0	+0	+1	+5	-0.4
2003	20	MLB MLE	New York Mets	—	292	274	84	12	4	5	13	36	0	13	3	307	338	434	772	128	335	12	4	337	114	+5	+1	+9	+3	+6	2.5
2003	20	MLB RAW	New York Mets	—	292	274	84	12	4	5	13	36	0	13	3	307	338	434	772	128	335	12	4	337	114	+5	+1	+9	+3	+6	2.5
2004	21	MLB MLE	New York Mets	—	229	220	56	16	2	2	5	31	0	19	2	255	271	373	644	118	289	14	2	279	75	-7	+3	+3	+1	+5	0.5
2004	21	MLB RAW	New York Mets	—	229	220	56	16	2	2	5	31	0	19	2	255	271	373	644	118	289	14	2	279	75	-7	+3	+3	+1	+5	0.5
2005	22	MLB MLE	New York Mets	—	733	696	190	24	17	7	27	78	2	60	15	273	302	386	689	114	298	11	4	302	91	-8	+6	+5	+8	+16	2.7
2005	22	MLB RAW	New York Mets	—	733	696	190	24	17	7	27	78	2	60	15	273	302	386	689	114	298	11	4	302	91	-8	+6	+5	+8	+16	2.7
2006	23	MLB MLE	New York Mets	—	703	653	194	30	17	19	47	81	1	64	17	297	345	482	828	185	316	12	7	363	131	+26	+6	+12	+8	+15	6.8
2006	23	MLB RAW	New York Mets	—	703	647	194	30	17	19	53	81	1	64	17	300	354	487	841	187	320	12	8	369	131	+26	+6	+12	+8	+15	6.8
2007	24	MLB MLE	New York Mets	—	765	694	191	36	12	12	64	78	1	78	21	275	337	414	751	138	296	10	8	333	111	+10	+7	+19	+8	+17	6.2
2007	24	MLB RAW	New York Mets	—	765	681	191	36	12	12	77	78	1	78	21	280	354	421	776	141	302	10	10	345	111	+10	+7	+19	+8	+17	6.2
2008	25	MLB MLE	New York Mets	—	763	696	204	37	19	16	58	82	1	56	15	293	348	470	818	177	313	11	8	357	128	+25	+5	+9	+8	+17	6.5
2008	25	MLB RAW	New York Mets	—	763	688	204	37	19	16	66	82	1	56	15	297	359	475	834	179	317	11	9	364	128	+25	+5	+9	+8	+17	6.5
2009	26	MLB MLE	New York Mets	—	166	148	41	7	2	2	17	19	0	11	2	277	352	392	743	115	305	11	10	334	112	+2	+1	+1	+2	+4	1.0
2009	26	MLB RAW	New York Mets	—	166	147	41	7	2	2	18	19	0	11	2	279	358	395	752	116	307	11	11	338	112	+2	+1	+1	+2	+4	1.0
2010	27	MLB MLE	New York Mets	—	603	567	164	31	10	11	27	63	2	30	10	289	324	437	761	148	308	10	4	333	111	+8	+2	+1	+6	+13	3.2
2010	27	MLB RAW	New York Mets	—	603	563	159	29	10	11	31	63	2	30	10	282	322	428	750	146	301	10	5	328	111	+8	+2	+1	+6	+13	3.2
2011	28	MLB MLE	New York Mets	—	586	546	187	33	17	7	34	41	0	39	7	342	381	504	885	161	359	7	6	384	146	+32	+5	+2	+6	+13	6.0
2011	28	MLB RAW	New York Mets	—	586	537	181	31	16	7	43	41	0	39	7	337	386	493	880	156	353	7	7	384	146	+32	+5	+2	+6	+13	6.0
2012	29	MLB MLE	Miami Marlins	—	716	651	191	40	13	12	54	56	0	40	11	293	348	450	798	157	304	8	8	347	121	+18	+4	+2	+8	+16	4.7
2012	29	MLB RAW	Miami Marlins	—	716	642	184	37	12	11	63	56	0	40	11	287	350	433	783	146	298	8	9	344	121	+18	+4	+2	+8	+16	4.7
2013	30	MLB MLE	2 teams	—	436	401	119	21	0	10	32	47	1	16	6	297	350	424	774	127	315	11	7	344	119	+10	+1	+1	+5	+9	2.7
2013	30	MLB RAW	2 teams	—	436	399	120	21	0	10	34	47	1	16	6	301	357	429	786	128	320	11	8	350	119	+10	+1	+1	+5	+9	2.7
2014	31	MLB MLE	Toronto Blue Jays	—	655	611	174	33	4	9	37	73	1	30	2	285	327	396	723	111	310	11	6	321	103	+3	+5	+3	+7	+14	3.3
2014	31	MLB RAW	Toronto Blue Jays	—	655	610	175	33	4	9	38	73	1	30	2	287	330	398	728	111	312	11	6	323	103	+3	+5	+3	+7	+14	3.3
2015	32	MLB MLE	Colorado Rockies	—	519	481	126	24	1	6	26	62	0	24	6	262	300	353	653	91	288	12	5	290	83	-11	+2	-1	+6	+11	0.8
2015	32	MLB RAW	Colorado Rockies	—	519	481	132	25	2	7	26	62	0	24	6	274	312	378	690	104	301	12	5	302	83	-11	+2	-1	+6	+11	0.8
2016	33	MLB MLE	3 teams	—	352	322	84	15	4	9	28	58	0	13	3	261	320	416	736	155	292	16	8	326	107	+3	+1	-1	+1	+8	1.2
2016	33	MLB RAW	3 teams	—	352	317	84	14	4	10	33	56	0	13	3	265	334	429	763	164	292	16	9	338	107	+3	+1	-1	+1	+8	1.2
2017	34	MLB MLE	New York Mets	—	561	502	127	27	7	15	49	79	2	24	6	253	322	424	746	171	273	14	9	327	107	+5	+2	-6	+6	+12	1.9
2017	34	MLB RAW	New York Mets	—	561	501	123	25	7	15	50	79	2	24	6	246	316	413	730	168	263	14	9	320	107	+5	+2	-6	+6	+12	1.9
2018	35	MLB MLE	New York Mets	—	251	229	45	13	3	4	21	39	0	5	2	197	264	332	596	135	220	16	8	266	66	-10	+0	+0	+1	+5	-0.4
2018	35	MLB RAW	New York Mets	—	251	228	43	12	3	4	22	39	0	5	2	189	260	320	580	132	211	16	9	262	66	-10	+0	+0	+1	+5	-0.4
2003	20	MLB MLE	New York Mets	—	292	277	84	12	4	5	13	36	0	13	3	303	338	430	768	126	335	12	4	337	114	—	—	—	—	—	—
2004	21	MLB MLE	New York Mets	—	229	222	56	16	2	2	5	31	0	19	2	252	271	369	640	117	289	14	2	279	75	—	—	—	—	—	—
2005	22	MLB MLE	New York Mets	—	733	698	190	24	17	7	27	78	2	60	15	272	302	385	687	113	298	11	4	302	91	—	—	—	—	—	—
2006	23	MLB MLE	New York Mets	—	703	649	194	30	17	19	47	81	1	64	17	299	345	485	831	186	320	12	7	363	131	—	—	—	—	—	—
2007	24	MLB MLE	New York Mets	—	765	694	191	36	12	12	64	78	1	78	21	275	337	414	751	138	302	10	8	333	111	—	—	—	—	—	—
2008	25	MLB MLE	New York Mets	—	763	698	204	37	19	16	58	82	1	56	15	292	348	468	817	176	317	11	8	357	128	—	—	—	—	—	—
2009	26	MLB MLE	New York Mets	—	166	148	41	7	2	2	17	19	0	11	2	277	352	392	743	115	307	11	10	334	112	—	—	—	—	—	—
2010	27	MLB MLE	New York Mets	—	603	569	164	31	10	11	27	63	2	30	10	288	324	436	760	148	301	10	4	333	111	—	—	—	—	—	—
2011	28	MLB MLE	New York Mets	—	586	547	187	33	17	7	34	41	0	39	7	342	381	503	884	161	353	7	6	384	146	—	—	—	—	—	—
2012	29	MLB MLE	Miami Marlins	—	716	656	191	40	13	12	54	56	0	40	11	291	348	447	794	155	298	8	8	347	121	—	—	—	—	—	—
2013	30	MLB MLE	2 teams	—	436	400	119	21	0	10	32	47	1	16	6	297	350	425	775	128	317	11	7	344	119	—	—	—	—	—	—
2014	31	MLB MLE	Toronto Blue Jays	—	655	612	174	33	4	9	37	73	1	30	2	284	327	395	722	111	312	11	6	321	103	—	—	—	—	—	—
2015	32	MLB MLE	Colorado Rockies	—	519	488	126	24	1	6	26	62	0	24	6	258	300	348	648	90	301	12	5	290	83	—	—	—	—	—	—
2016	33	MLB MLE	3 teams	—	352	321	84	15	4	9	28	58	0	13	3	262	320	417	737	156	284	16	8	326	107	—	—	—	—	—	—
2017	34	MLB MLE	New York Mets	—	561	505	127	27	7	15	49	79	2	24	6	251	322	422	744	170	263	14	9	327	107	—	—	—	—	—	—
2018	35	MLB MLE	New York Mets	—	251	228	45	13	3	4	21	39	0	5	2	197	264	333	597	136	211	16	8	266	66	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	8240	7552	2138	387	131	145	589	914	11	517	127	283	336	427	763	144	305	11	7	335	111	+129	+53	+59	+83	+179	51.3
/ 162G	—	A+C		—	650	596	168	31	10	11	46	72	1	41	10	282	334	423	757	141	304	11	7	335	111	+10	+4	+5	+7	+14	4.0
Career	—	MLE		—	8330	7691	2177	399	132	146	539	923	11	522	128	283	331	426	757	143	305	11	6	333	111	+129	+53	+59	+83	+179	51.3
/ 162G	—	MLE		—	650	600	169	31	10	11	42	72	1	41	10	282	330	422	751	140	304	11	6	333	111	+10	+4	+5	+7	+14	4.0

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.

2016 AAAAlbuquerque Isotopes · 40 PAwOBA .389 → .290 (−99)K% 10.0% → 13.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	10.00%	÷0.948	×1.290	—	—	13.60%
BB% (unintentional) /PA	15.00%	÷1.083	×0.710	—	×0.942	9.26%
HBP% /PA	0.00%	—	×0.980	—	×0.942	0.00%
Singles /BIP	27.59%	÷1.032	×0.900	—	×0.942	22.67%
Doubles /BIP	0.00%	÷1.050	×0.810	—	×0.942	0.00%
Triples /BIP	0.00%	÷1.150	×0.810	—	×0.942	0.00%
Home runs /BIP	6.90%	÷1.202	×0.780	—	×0.942	4.22%

Factors used: league row PCL. Park (home-season share, regressed): HR 140, 1B 106, 2B 110, 3B 130, K 90, BB 117 — applied at half strength. Age: age 33 vs a level average of 27.2 → −5.8% on BB/HBP/hit rates (5.8 yr older than average).

Result: wOBA .389 → .290; ISO .182 → .118; BABIP .296 → .237. 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 AABinghamton Mets · 33 PAwOBA .241 → .202 (−39)K% 9.1% → 10.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	9.09%	÷1.062	×1.220	—	—	10.44%
BB% (unintentional) /PA	9.09%	÷0.996	×0.700	—	×0.940	6.01%
HBP% /PA	0.00%	—	×0.850	—	×0.940	0.00%
Singles /BIP	19.23%	÷1.034	×0.970	—	×0.940	16.95%
Doubles /BIP	3.85%	÷1.070	×0.860	—	×0.940	2.90%
Triples /BIP	0.00%	÷0.956	×0.950	—	×0.940	0.00%
Home runs /BIP	0.00%	÷1.085	×0.780	—	×0.940	0.00%

Factors used: league row EL. Park (home-season share, regressed): HR 117, 1B 107, 2B 114, 3B 91, K 112, BB 99 — applied at half strength. Age: age 33 vs a level average of 24.8 → −6.0% on BB/HBP/hit rates (8.2 yr older than average).

Result: wOBA .241 → .202; ISO .034 → .028; BABIP .222 → .192. 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 AAABuffalo Bisons · 17 PAwOBA .384 → .342 (−42)K% 0.0% → 0.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	0.00%	÷0.987	×1.200	—	—	0.00%
BB% (unintentional) /PA	0.00%	÷1.015	×0.690	—	×0.972	0.00%
HBP% /PA	0.00%	—	×0.940	—	×0.972	0.00%
Singles /BIP	35.29%	÷0.976	×0.930	—	×0.972	32.70%
Doubles /BIP	5.88%	÷1.094	×0.830	—	×0.972	4.34%
Triples /BIP	0.00%	÷0.900	×0.970	—	×0.972	0.00%
Home runs /BIP	0.00%	÷0.853	×0.840	—	×0.972	0.00%

Factors used: league row IL. Park (home-season share, regressed): HR 71, 1B 95, 2B 119, 3B 80, K 97, 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).

Result: wOBA .384 → .342; ISO .059 → .043; BABIP .412 → .370. 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).