Curtis Granderson

PosCF

B/TL/R

Born1981-03-16

Age (2027)46

No MLB projection yet. Career stats below are historical.

Overview

MLBLAST SEASON 2019

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR
2017	36	MLBLAD	527	.212/.324/.452	26	6	120	2.2
2018	37	MLBMIL	403	.242/.352/.431	13	2	123	0.8
2019	38	MLBMIA	363	.183/.283/.356	12	0	87	-0.6
2020	39	No MLB games played
2021	40	No MLB games played
2022	41	No MLB games played
2023	42	No MLB games played
2024	43	No MLB games played
2025	44	No MLB games played
2026	45	No MLB games played

Last 3 seasons WAR 2.4

Contract

No contract data on file.

Skills · percentileStatcast 2017-2019

xwOBA70

Barrel%52

Avg EV39

Speed30

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)
2004	23	MLB	Detroit Tigers	—	28	25	6	1	1	0	3	8	0	0	0	240	321	360	681	120	353	29	11	308	94	-0	+0	+0	+0	+1	0.1
2005	24	MLB	Detroit Tigers	—	174	162	44	6	3	8	10	43	0	1	1	272	314	494	808	222	324	25	6	348	122	+5	-0	+3	+2	+4	1.4
2005	24	AAA	Toledo Mud Hens	—	503	445	129	29	13	15	48	129	3	22	6	290	363	515	878	225	373	26	10	378	112	—	—	—	—	—	—
2006	25	MLB	Detroit Tigers	—	679	596	155	31	9	19	66	174	4	8	5	260	338	438	776	178	333	26	10	338	115	+12	-0	+14	+2	+15	4.4
2007	26	MLB	Detroit Tigers	—	676	612	185	38	23	23	52	141	5	26	1	302	362	552	914	250	360	21	8	392	149	+40	+5	+17	+2	+15	8.1
2008	27	MLB	Detroit Tigers	—	629	553	155	26	13	22	71	111	3	12	4	280	365	494	859	213	316	18	11	377	140	+30	+1	-9	+2	+14	3.9
2009	28	MLB	Detroit Tigers	—	710	631	157	23	8	30	72	141	2	20	6	249	328	453	781	204	275	20	10	343	116	+13	+2	+1	+3	+15	3.4
2010	29	MLB	New York Yankees	—	528	466	115	17	7	24	53	116	2	12	2	247	326	468	794	221	277	22	10	345	113	+8	+2	+9	+2	+11	3.3
2010	29	AAA	Scranton/Wilkes-Barre Yankees	—	18	16	4	0	0	0	2	2	0	0	0	250	333	250	583		286	11	11	279	40	—	—	—	—	—	—
2011	30	MLB	New York Yankees	—	691	583	153	26	10	41	85	169	12	25	10	262	368	552	920	290	295	24	12	393	147	+39	+1	-3	+2	+15	5.6
2012	31	MLB	New York Yankees	—	684	596	138	18	4	43	75	195	5	10	3	232	322	492	814	260	260	29	11	353	117	+13	+1	-3	+2	+15	2.9
2013	32	MLB	New York Yankees	—	245	214	49	13	2	7	27	69	1	8	2	229	318	407	725	178	302	28	11	320	99	-0	+1	+3	+1	+5	1.0
2013	32	AAA	Scranton/Wilkes-Barre RailRiders	—	21	20	8	0	0	1	1	4	0	0	0	400	429	550	979	150	467	19	5	434	128	—	—	—	—	—	—
2014	33	MLB	New York Mets	—	654	564	128	27	2	20	79	141	6	8	2	227	328	388	716	161	265	22	12	322	108	+6	+1	-17	-7	+14	-0.3
2015	34	MLB	New York Mets	—	682	580	150	33	2	26	91	151	7	11	6	259	366	457	823	198	305	22	13	365	136	+29	-0	+2	-7	+15	3.9
2016	35	MLB	New York Mets	—	633	545	129	24	5	30	74	130	9	4	2	237	338	464	802	228	254	21	12	352	123	+18	+0	-2	-7	+14	2.3
2017	36	MLB	Los Angeles Dodgers	—	527	449	95	24	3	26	71	123	4	6	2	212	324	452	777	241	228	23	13	342	120	+12	+0	-4	+2	+11	2.2
2018	37	MLB	Milwaukee Brewers	—	403	343	83	22	2	13	54	106	4	2	1	242	352	431	783	190	311	26	13	349	123	+11	+0	-8	-4	+9	0.8
2019	38	MLB	Miami Marlins	—	363	317	58	17	1	12	41	98	3	0	3	183	283	356	639	174	220	27	11	288	87	-6	-1	-3	-4	+8	-0.6
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	8306	7236	1800	346	95	344	924	1916	67	153	50	249	339	465	805	217	290	23	11	352	125	+243	+11	+2	-7	+180	43.6
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2004	23	MLB MLE	Detroit Tigers	—	28	25	6	1	1	0	3	8	0	0	0	240	321	360	681	120	353	29	11	308	94	-0	+0	+0	+0	+1	0.1
2005	24	MLB MLE	Detroit Tigers	—	174	162	44	6	3	8	10	43	0	1	1	272	314	494	808	222	324	25	6	348	122	+5	-0	+3	+2	+4	1.4
2005	24	AAA MLE	Toledo Mud Hens	—	503	461	122	25	13	13	32	155	3	22	6	265	317	460	776	195	358	31	6	334	112	—	—	—	—	—	—
2006	25	MLB MLE	Detroit Tigers	—	679	596	155	31	9	19	66	174	4	8	5	260	338	438	776	178	333	26	10	338	115	+12	-0	+14	+2	+15	4.4
2007	26	MLB MLE	Detroit Tigers	—	676	615	185	38	23	23	49	141	5	26	1	301	357	550	907	249	360	21	7	389	149	+40	+5	+17	+2	+15	8.1
2008	27	MLB MLE	Detroit Tigers	—	629	554	155	26	13	22	70	111	3	12	4	280	364	493	856	213	316	18	11	376	140	+30	+1	-9	+2	+14	3.9
2009	28	MLB MLE	Detroit Tigers	—	710	635	157	23	8	30	68	141	2	20	6	247	322	450	772	203	275	20	10	339	116	+13	+2	+1	+3	+15	3.4
2010	29	MLB MLE	New York Yankees	—	528	469	113	17	7	22	50	116	2	12	2	241	317	448	764	207	277	22	9	335	113	+8	+2	+9	+2	+11	3.3
2010	29	AAA MLE	Scranton/Wilkes-Barre Yankees	—	18	17	4	0	0	0	1	2	0	0	0	235	278	235	513		260	11	6	228	40	—	—	—	—	—	—
2011	30	MLB MLE	New York Yankees	—	691	583	150	26	10	38	85	169	12	25	10	257	363	532	895	274	295	24	12	386	147	+39	+1	-3	+2	+15	5.6
2012	31	MLB MLE	New York Yankees	—	684	600	135	18	4	40	71	195	5	10	3	225	312	468	780	243	260	29	10	340	117	+13	+1	-3	+2	+15	2.9
2013	32	MLB MLE	New York Yankees	—	245	215	49	13	2	7	26	69	1	8	2	228	314	405	719	177	302	28	11	315	99	-0	+1	+3	+1	+5	1.0
2013	32	AAA MLE	Scranton/Wilkes-Barre RailRiders	—	21	20	7	0	0	1	1	5	0	0	0	350	381	500	881	150	420	24	5	358	128	—	—	—	—	—	—
2014	33	MLB MLE	New York Mets	—	654	565	132	29	2	20	78	141	6	8	2	234	333	398	731	165	265	22	12	327	108	+6	+1	-17	-7	+14	-0.3
2015	34	MLB MLE	New York Mets	—	682	583	154	35	2	26	88	151	7	11	6	264	367	465	832	201	305	22	13	369	136	+29	-0	+2	-7	+15	3.9
2016	35	MLB MLE	New York Mets	—	633	552	132	25	5	30	67	130	9	4	2	239	331	466	797	226	254	21	11	351	123	+18	+0	-2	-7	+14	2.3
2017	36	MLB MLE	Los Angeles Dodgers	—	527	451	96	25	4	25	69	123	4	6	2	213	323	452	775	239	228	23	13	345	120	+12	+0	-4	+2	+11	2.2
2018	37	MLB MLE	Milwaukee Brewers	—	403	344	84	24	2	12	53	106	4	2	1	244	352	430	782	186	311	26	13	350	123	+11	+0	-8	-4	+9	0.8
2019	38	MLB MLE	Miami Marlins	—	363	318	61	19	1	13	40	98	3	0	3	192	288	381	669	189	220	27	11	297	87	-6	-1	-3	-4	+8	-0.6
2004	23	MLB MLE	Detroit Tigers	—	28	25	6	1	1	0	3	8	0	0	0	240	321	360	681	120	353	29	11	308	94	-0	+0	+0	+0	+1	0.1
2004	23	MLB RAW	Detroit Tigers	—	28	25	6	1	1	0	3	8	0	0	0	240	321	360	681	120	353	29	11	308	94	-0	+0	+0	+0	+1	0.1
2005	24	AAA MLE	2 teams	—	677	623	166	31	16	21	42	198	3	23	7	266	316	469	785	202	355	29	6	338	115	—	—	—	—	—	—
2005	24	AAA RAW	2 teams	—	677	607	173	35	16	23	58	172	3	23	7	285	350	509	859	224	360	25	9	371	115	—	—	—	—	—	—
2006	25	MLB MLE	Detroit Tigers	—	679	596	155	31	9	19	66	174	4	8	5	260	338	438	776	178	333	26	10	338	115	+12	-0	+14	+2	+15	4.4
2006	25	MLB RAW	Detroit Tigers	—	679	596	155	31	9	19	66	174	4	8	5	260	338	438	776	178	333	26	10	338	115	+12	-0	+14	+2	+15	4.4
2007	26	MLB MLE	Detroit Tigers	—	676	615	185	38	23	23	49	141	5	26	1	301	357	550	907	249	358	21	7	389	149	+40	+5	+17	+2	+15	8.1
2007	26	MLB RAW	Detroit Tigers	—	676	612	185	38	23	23	52	141	5	26	1	302	362	552	914	250	360	21	8	392	149	+40	+5	+17	+2	+15	8.1
2008	27	MLB MLE	Detroit Tigers	—	629	554	155	26	13	22	70	111	3	12	4	280	364	493	856	213	315	18	11	376	140	+30	+1	-9	+2	+14	3.9
2008	27	MLB RAW	Detroit Tigers	—	629	553	155	26	13	22	71	111	3	12	4	280	365	494	859	213	316	18	11	377	140	+30	+1	-9	+2	+14	3.9
2009	28	MLB MLE	Detroit Tigers	—	710	635	157	23	8	30	68	141	2	20	6	247	322	450	772	203	273	20	10	339	116	+13	+2	+1	+3	+15	3.4
2009	28	MLB RAW	Detroit Tigers	—	710	631	157	23	8	30	72	141	2	20	6	249	328	453	781	204	275	20	10	343	116	+13	+2	+1	+3	+15	3.4
2010	29	MLB MLE	2 teams	—	546	486	117	17	7	22	51	118	2	12	2	241	315	440	756	200	272	22	9	332	111	+7	+2	+9	+2	+12	3.2
2010	29	MLB RAW	2 teams	—	546	482	119	17	7	24	55	118	2	12	2	247	327	461	787	214	277	22	10	343	111	+7	+2	+9	+2	+12	3.2
2011	30	MLB MLE	New York Yankees	—	691	583	150	26	10	38	85	169	12	25	10	257	363	532	895	274	292	24	12	386	147	+39	+1	-3	+2	+15	5.6
2011	30	MLB RAW	New York Yankees	—	691	583	153	26	10	41	85	169	12	25	10	262	368	552	920	290	295	24	12	393	147	+39	+1	-3	+2	+15	5.6
2012	31	MLB MLE	New York Yankees	—	684	600	135	18	4	40	71	195	5	10	3	225	312	468	780	243	255	29	10	340	117	+13	+1	-3	+2	+15	2.9
2012	31	MLB RAW	New York Yankees	—	684	596	138	18	4	43	75	195	5	10	3	232	322	492	814	260	260	29	11	353	117	+13	+1	-3	+2	+15	2.9
2013	32	MLB MLE	2 teams	—	266	235	55	13	2	7	27	74	1	8	2	234	316	396	711	162	310	28	10	318	101	+0	+1	+3	+1	+6	1.1
2013	32	MLB RAW	2 teams	—	266	234	57	13	2	8	28	73	1	8	2	244	327	419	746	175	318	27	11	329	101	+0	+1	+3	+1	+6	1.1
2014	33	MLB MLE	New York Mets	—	654	565	132	29	2	20	78	141	6	8	2	234	333	398	731	165	274	22	12	327	108	+6	+1	-17	-7	+14	-0.3
2014	33	MLB RAW	New York Mets	—	654	564	128	27	2	20	79	141	6	8	2	227	328	388	716	161	265	22	12	322	108	+6	+1	-17	-7	+14	-0.3
2015	34	MLB MLE	New York Mets	—	682	583	154	35	2	26	88	151	7	11	6	264	367	465	832	201	312	22	13	369	136	+29	-0	+2	-7	+15	3.9
2015	34	MLB RAW	New York Mets	—	682	580	150	33	2	26	91	151	7	11	6	259	366	457	823	198	305	22	13	365	136	+29	-0	+2	-7	+15	3.9
2016	35	MLB MLE	New York Mets	—	633	552	132	25	5	30	67	130	9	4	2	239	331	466	797	226	257	21	11	351	123	+18	+0	-2	-7	+14	2.3
2016	35	MLB RAW	New York Mets	—	633	545	129	24	5	30	74	130	9	4	2	237	338	464	802	228	254	21	12	352	123	+18	+0	-2	-7	+14	2.3
2017	36	MLB MLE	Los Angeles Dodgers	—	527	451	96	25	4	25	69	123	4	6	2	213	323	452	775	239	232	23	13	345	120	+12	+0	-4	+2	+11	2.2
2017	36	MLB RAW	Los Angeles Dodgers	—	527	449	95	24	3	26	71	123	4	6	2	212	324	452	777	241	228	23	13	342	120	+12	+0	-4	+2	+11	2.2
2018	37	MLB MLE	Milwaukee Brewers	—	403	344	84	24	2	12	53	106	4	2	1	244	352	430	782	186	317	26	13	350	123	+11	+0	-8	-4	+9	0.8
2018	37	MLB RAW	Milwaukee Brewers	—	403	343	83	22	2	13	54	106	4	2	1	242	352	431	783	190	311	26	13	349	123	+11	+0	-8	-4	+9	0.8
2019	38	MLB MLE	Miami Marlins	—	363	318	61	19	1	13	40	98	3	0	3	192	288	381	669	189	230	27	11	297	87	-6	-1	-3	-4	+8	-0.6
2019	38	MLB RAW	Miami Marlins	—	363	317	58	17	1	12	41	98	3	0	3	183	283	356	639	174	220	27	11	288	87	-6	-1	-3	-4	+8	-0.6
2004	23	MLB MLE	Detroit Tigers	—	28	25	6	1	1	0	3	8	0	0	0	240	321	360	681	120	353	29	11	308	94	—	—	—	—	—	—
2005	24	AAA MLE	2 teams	—	677	627	166	31	16	21	42	198	3	23	7	265	316	466	782	201	349	29	6	338	115	—	—	—	—	—	—
2006	25	MLB MLE	Detroit Tigers	—	679	604	155	31	9	19	66	174	4	8	5	257	338	432	770	175	333	26	10	338	115	—	—	—	—	—	—
2007	26	MLB MLE	Detroit Tigers	—	676	617	185	38	23	23	49	141	5	26	1	300	357	548	905	248	360	21	7	389	149	—	—	—	—	—	—
2008	27	MLB MLE	Detroit Tigers	—	629	551	155	26	13	22	70	111	3	12	4	281	364	495	859	214	316	18	11	376	140	—	—	—	—	—	—
2009	28	MLB MLE	Detroit Tigers	—	710	634	157	23	8	30	68	141	2	20	6	248	322	451	773	203	275	20	10	339	116	—	—	—	—	—	—
2010	29	MLB MLE	2 teams	—	546	488	117	17	7	22	51	118	2	12	2	240	315	439	754	199	276	22	9	332	111	—	—	—	—	—	—
2011	30	MLB MLE	New York Yankees	—	691	589	150	26	10	38	85	169	12	25	10	255	363	526	890	272	295	24	12	386	147	—	—	—	—	—	—
2012	31	MLB MLE	New York Yankees	—	684	603	135	18	4	40	71	195	5	10	3	224	312	466	778	242	260	29	10	340	117	—	—	—	—	—	—
2013	32	MLB MLE	2 teams	—	266	236	55	13	2	7	27	74	1	8	2	233	316	394	710	161	311	28	10	318	101	—	—	—	—	—	—
2014	33	MLB MLE	New York Mets	—	654	565	132	29	2	20	78	141	6	8	2	234	333	398	731	165	265	22	12	327	108	—	—	—	—	—	—
2015	34	MLB MLE	New York Mets	—	682	582	154	35	2	26	88	151	7	11	6	265	367	466	833	201	305	22	13	369	136	—	—	—	—	—	—
2016	35	MLB MLE	New York Mets	—	633	552	132	25	5	30	67	130	9	4	2	239	331	466	797	226	254	21	11	351	123	—	—	—	—	—	—
2017	36	MLB MLE	Los Angeles Dodgers	—	527	449	96	25	4	25	69	123	4	6	2	214	323	454	777	241	228	23	13	345	120	—	—	—	—	—	—
2018	37	MLB MLE	Milwaukee Brewers	—	403	343	84	24	2	12	53	106	4	2	1	245	352	431	783	187	311	26	13	350	123	—	—	—	—	—	—
2019	38	MLB MLE	Miami Marlins	—	363	317	61	19	1	13	40	98	3	0	3	192	288	382	670	189	220	27	11	297	87	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	8306	7236	1800	346	95	344	924	1916	67	153	50	249	339	465	805	217	290	23	11	352	123	+243	+11	+2	-7	+180	43.6
/ 162G	—	A+C		—	650	566	140	27	7	27	72	150	5	12	4	247	337	463	800	216	288	23	11	352	123	+19	+1	+0	-1	+14	3.4
Career	—	MLE		—	8848	7765	1940	381	109	348	927	2078	70	175	56	250	335	461	797	212	295	23	10	349	123	+243	+11	+2	-7	+180	43.6
/ 162G	—	MLE		—	650	570	143	28	8	26	68	153	5	13	4	251	335	465	800	214	296	24	10	349	123	+19	+1	+0	-1	+14	3.4

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.

2013 AAAScranton/Wilkes-Barre RailRiders · 21 PAwOBA .422 → .358 (−63)K% 19.0% → 22.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.05%	÷1.010	×1.200	—	—	22.63%
BB% (unintentional) /PA	4.76%	÷1.015	×0.690	—	×0.952	3.08%
HBP% /PA	0.00%	—	×0.940	—	×0.952	0.00%
Singles /BIP	43.75%	÷0.971	×0.930	—	×0.952	39.88%
Doubles /BIP	0.00%	÷1.026	×0.830	—	×0.952	0.00%
Triples /BIP	0.00%	÷1.000	×0.970	—	×0.952	0.00%
Home runs /BIP	6.25%	÷0.976	×0.840	—	×0.952	5.12%

Factors used: league row IL. Park (home-season share, regressed): HR 95, 1B 94, 2B 105, 3B 100, K 102, BB 103 — applied at half strength. Age: age 32 vs a level average of 27.2 → −4.8% on BB/HBP/hit rates (4.8 yr older than average).

Result: wOBA .422 → .358; ISO .150 → .120; BABIP .467 → .420. 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).

2010 AAAScranton/Wilkes-Barre Yankees · 18 PAwOBA .248 → .228 (−20)K% 11.1% → 13.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	11.11%	÷0.970	×1.200	—	—	13.75%
BB% (unintentional) /PA	5.56%	÷0.983	×0.690	—	×0.982	3.83%
HBP% /PA	0.00%	—	×0.940	—	×0.982	0.00%
Singles /BIP	28.57%	÷1.003	×0.930	—	×0.982	26.02%
Doubles /BIP	0.00%	÷1.036	×0.830	—	×0.982	0.00%
Triples /BIP	0.00%	÷1.150	×0.970	—	×0.982	0.00%
Home runs /BIP	0.00%	÷1.070	×0.840	—	×0.982	0.00%

Factors used: league row IL. Park (home-season share, regressed): HR 114, 1B 101, 2B 107, 3B 130, K 94, BB 97 — applied at half strength. Age: age 29 vs a level average of 27.2 → −1.8% on BB/HBP/hit rates (1.8 yr older than average).

Result: wOBA .248 → .228; ISO .000 → .000; BABIP .286 → .260. 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 AAAToledo Mud Hens · 503 PAwOBA .369 → .334 (−35)K% 25.6% → 30.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.65%	÷1.000	×1.200	—	—	30.78%
BB% (unintentional) /PA	8.75%	÷1.000	×0.690	—	×1.048	6.33%
HBP% /PA	0.60%	—	×0.940	—	×1.048	0.59%
Singles /BIP	22.78%	÷1.000	×0.930	×1.015	×1.048	22.54%
Doubles /BIP	9.18%	÷1.000	×0.830	×1.015	×1.048	8.10%
Triples /BIP	4.11%	÷1.000	×0.970	×1.015	×1.048	4.24%
Home runs /BIP	4.75%	÷1.000	×0.840	—	×1.048	4.18%

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 ×1.015.

Result: wOBA .369 → .334; ISO .225 → .205; BABIP .373 → .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).