Dan Uggla

Pos2B

B/TR/R

Born1980-03-11

Age (2027)47

No MLB projection yet. Career stats below are historical.

Overview

MLBLAST SEASON 2015

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR
2013	33	MLBATL	537	.179/.311/.362	22	2	96	0.7
2014	34	MLBSF	157	.149/.231/.213	2	0	31	-1.0
2015	35	MLBWSH	141	.183/.300/.300	2	0	77	0.1
2016	36	No MLB games played
2017	37	No MLB games played
2018	38	No MLB games played
2019	39	No MLB games played
2020	40	No MLB games played
2021	41	No MLB games played
2022	42	No MLB games played
2023	43	No MLB games played
2024	44	No MLB games played
2025	45	No MLB games played
2026	46	No MLB games played

Last 3 seasons WAR -0.2

Contract

No contract data on file.

Scouting grades · 20-80

Power46Speed60Eye69

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	25	AA	Tennessee Smokies	—	571	498	148	33	3	21	52	103	14	15	8	297	378	502	880	205	338	18	9	385	107	—	—	—	—	—	—
2006	26	MLB	Florida Marlins	—	683	611	172	26	7	27	48	123	9	6	6	282	343	480	822	198	309	18	7	355	126	+21	-1	+8	+2	+15	4.5
2007	27	MLB	Florida Marlins	—	728	632	155	49	3	31	68	167	13	2	1	245	331	479	810	234	279	23	9	349	123	+20	+0	-8	+3	+16	3.0
2008	28	MLB	Florida Marlins	—	619	531	138	37	1	32	77	171	8	5	5	260	362	514	876	254	320	28	12	383	141	+30	-1	+3	+2	+13	4.9
2009	29	MLB	Florida Marlins	—	668	564	137	27	1	31	92	150	7	2	1	243	356	459	815	216	274	22	14	360	127	+22	+0	-8	+2	+14	3.1
2010	30	MLB	Florida Marlins	—	674	589	169	31	0	33	78	149	2	4	1	287	372	508	880	221	330	22	12	385	154	+43	+0	-5	+2	+15	5.7
2011	31	MLB	Atlanta Braves	—	672	600	140	22	1	36	62	156	7	1	3	233	312	453	766	220	253	23	9	337	118	+14	-1	-10	+2	+15	2.1
2012	32	MLB	Atlanta Braves	—	630	523	115	29	0	19	94	168	10	4	3	220	349	384	734	164	283	27	15	334	110	+7	-0	+6	+2	+14	2.9
2013	33	MLB	Atlanta Braves	—	537	448	80	10	3	22	77	171	9	2	0	179	311	362	672	183	225	32	14	306	96	-3	+0	-4	+2	+12	0.7
2014	34	MLB	San Francisco Giants	—	157	141	21	3	0	2	11	46	4	0	0	149	231	213	444	64	202	29	7	211	31	-13	+0	-1	+1	+3	-1.0
2015	35	MLB	Washington Nationals	—	141	120	22	4	2	2	19	40	1	0	1	183	300	300	600	117	253	28	13	278	77	-4	-0	+2	+1	+3	0.1
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	5509	4759	1149	238	18	235	626	1341	70	26	21	241	338	447	785	206	283	24	11	346	120	+134	-3	-17	+20	+119	25.8
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2005	25	AA MLE	Tennessee Smokies	—	571	520	137	31	3	17	32	126	14	15	8	263	323	433	756	169	311	22	6	326	107	—	—	—	—	—	—
2006	26	MLB MLE	Florida Marlins	—	683	612	172	26	7	27	47	123	9	6	6	281	341	479	820	198	309	18	7	354	126	+21	-1	+8	+2	+15	4.5
2007	27	MLB MLE	Florida Marlins	—	728	632	155	49	3	31	68	167	13	2	1	245	331	479	810	234	279	23	9	349	123	+20	+0	-8	+3	+16	3.0
2008	28	MLB MLE	Florida Marlins	—	619	537	138	37	1	32	71	171	8	5	5	257	352	508	861	251	320	28	11	376	141	+30	-1	+3	+2	+13	4.9
2009	29	MLB MLE	Florida Marlins	—	668	568	137	27	1	31	88	150	7	2	1	241	350	456	806	215	274	22	13	356	127	+22	+0	-8	+2	+14	3.1
2010	30	MLB MLE	Florida Marlins	—	674	591	176	34	0	35	76	149	2	4	1	298	380	533	913	235	330	22	11	396	154	+43	+0	-5	+2	+15	5.7
2011	31	MLB MLE	Atlanta Braves	—	672	602	142	21	1	39	60	156	7	1	3	236	312	468	781	233	253	23	9	342	118	+14	-1	-10	+2	+15	2.1
2012	32	MLB MLE	Atlanta Braves	—	630	528	116	28	0	21	89	168	10	4	3	220	343	392	735	172	283	27	14	330	110	+7	-0	+6	+2	+14	2.9
2013	33	MLB MLE	Atlanta Braves	—	537	450	81	9	3	24	75	171	9	2	0	180	309	373	682	193	225	32	14	309	96	-3	+0	-4	+2	+12	0.7
2014	34	MLB MLE	San Francisco Giants	—	157	141	21	3	0	2	11	46	4	0	0	149	231	213	444	64	202	29	7	214	31	-13	+0	-1	+1	+3	-1.0
2015	35	MLB MLE	Washington Nationals	—	141	120	22	4	2	2	19	40	1	0	1	183	300	300	600	117	253	28	13	282	77	-4	-0	+2	+1	+3	0.1
2005	25	AA MLE	Tennessee Smokies	—	571	520	137	31	3	17	32	126	14	15	8	263	323	433	756	169	317	22	6	326	107	—	—	—	—	—	—
2005	25	AA RAW	Tennessee Smokies	—	571	498	148	33	3	21	52	103	14	15	8	297	378	502	880	205	338	18	9	385	107	—	—	—	—	—	—
2006	26	MLB MLE	Florida Marlins	—	683	612	172	26	7	27	47	123	9	6	6	281	341	479	820	198	309	18	7	354	126	+21	-1	+8	+2	+15	4.5
2006	26	MLB RAW	Florida Marlins	—	683	611	172	26	7	27	48	123	9	6	6	282	343	480	822	198	309	18	7	355	126	+21	-1	+8	+2	+15	4.5
2007	27	MLB MLE	Florida Marlins	—	728	632	155	49	3	31	68	167	13	2	1	245	331	479	810	234	279	23	9	349	123	+20	+0	-8	+3	+16	3.0
2007	27	MLB RAW	Florida Marlins	—	728	632	155	49	3	31	68	167	13	2	1	245	331	479	810	234	279	23	9	349	123	+20	+0	-8	+3	+16	3.0
2008	28	MLB MLE	Florida Marlins	—	619	537	138	37	1	32	71	171	8	5	5	257	352	508	861	251	315	28	11	376	141	+30	-1	+3	+2	+13	4.9
2008	28	MLB RAW	Florida Marlins	—	619	531	138	37	1	32	77	171	8	5	5	260	362	514	876	254	320	28	12	383	141	+30	-1	+3	+2	+13	4.9
2009	29	MLB MLE	Florida Marlins	—	668	568	137	27	1	31	88	150	7	2	1	241	350	456	806	215	271	22	13	356	127	+22	+0	-8	+2	+14	3.1
2009	29	MLB RAW	Florida Marlins	—	668	564	137	27	1	31	92	150	7	2	1	243	356	459	815	216	274	22	14	360	127	+22	+0	-8	+2	+14	3.1
2010	30	MLB MLE	Florida Marlins	—	674	591	176	34	0	35	76	149	2	4	1	298	380	533	913	235	342	22	11	396	154	+43	+0	-5	+2	+15	5.7
2010	30	MLB RAW	Florida Marlins	—	674	589	169	31	0	33	78	149	2	4	1	287	372	508	880	221	330	22	12	385	154	+43	+0	-5	+2	+15	5.7
2011	31	MLB MLE	Atlanta Braves	—	672	602	142	21	1	39	60	156	7	1	3	236	312	468	781	233	251	23	9	342	118	+14	-1	-10	+2	+15	2.1
2011	31	MLB RAW	Atlanta Braves	—	672	600	140	22	1	36	62	156	7	1	3	233	312	453	766	220	253	23	9	337	118	+14	-1	-10	+2	+15	2.1
2012	32	MLB MLE	Atlanta Braves	—	630	528	116	28	0	21	89	168	10	4	3	220	343	392	735	172	278	27	14	330	110	+7	-0	+6	+2	+14	2.9
2012	32	MLB RAW	Atlanta Braves	—	630	523	115	29	0	19	94	168	10	4	3	220	349	384	734	164	283	27	15	334	110	+7	-0	+6	+2	+14	2.9
2013	33	MLB MLE	Atlanta Braves	—	537	450	81	9	3	24	75	171	9	2	0	180	309	373	682	193	221	32	14	309	96	-3	+0	-4	+2	+12	0.7
2013	33	MLB RAW	Atlanta Braves	—	537	448	80	10	3	22	77	171	9	2	0	179	311	362	672	183	225	32	14	306	96	-3	+0	-4	+2	+12	0.7
2014	34	MLB MLE	San Francisco Giants	—	157	141	21	3	0	2	11	46	4	0	0	149	231	213	444	64	202	29	7	214	31	-13	+0	-1	+1	+3	-1.0
2014	34	MLB RAW	San Francisco Giants	—	157	141	21	3	0	2	11	46	4	0	0	149	231	213	444	64	202	29	7	211	31	-13	+0	-1	+1	+3	-1.0
2015	35	MLB MLE	Washington Nationals	—	141	120	22	4	2	2	19	40	1	0	1	183	300	300	600	117	253	28	13	282	77	-4	-0	+2	+1	+3	0.1
2015	35	MLB RAW	Washington Nationals	—	141	120	22	4	2	2	19	40	1	0	1	183	300	300	600	117	253	28	13	278	77	-4	-0	+2	+1	+3	0.1
2005	25	AA MLE	Tennessee Smokies	—	571	520	137	31	3	17	32	126	14	15	8	263	323	433	756	169	311	22	6	326	107	—	—	—	—	—	—
2006	26	MLB MLE	Florida Marlins	—	683	622	172	26	7	27	47	123	9	6	6	277	341	471	812	195	309	18	7	354	126	—	—	—	—	—	—
2007	27	MLB MLE	Florida Marlins	—	728	641	155	49	3	31	68	167	13	2	1	242	331	473	804	231	279	23	9	349	123	—	—	—	—	—	—
2008	28	MLB MLE	Florida Marlins	—	619	535	138	37	1	32	71	171	8	5	5	258	352	510	863	252	320	28	11	376	141	—	—	—	—	—	—
2009	29	MLB MLE	Florida Marlins	—	668	568	137	27	1	31	88	150	7	2	1	241	350	456	806	215	274	22	13	356	127	—	—	—	—	—	—
2010	30	MLB MLE	Florida Marlins	—	674	591	176	34	0	35	76	149	2	4	1	298	380	533	913	235	330	22	11	396	154	—	—	—	—	—	—
2011	31	MLB MLE	Atlanta Braves	—	672	600	142	21	1	39	60	156	7	1	3	237	312	470	782	233	253	23	9	342	118	—	—	—	—	—	—
2012	32	MLB MLE	Atlanta Braves	—	630	526	116	28	0	21	89	168	10	4	3	221	343	394	736	173	283	27	14	330	110	—	—	—	—	—	—
2013	33	MLB MLE	Atlanta Braves	—	537	448	81	9	3	24	75	171	9	2	0	181	309	375	684	194	225	32	14	309	96	—	—	—	—	—	—
2014	34	MLB MLE	San Francisco Giants	—	157	141	21	3	0	2	11	46	4	0	0	149	231	213	444	64	202	29	7	214	31	—	—	—	—	—	—
2015	35	MLB MLE	Washington Nationals	—	141	120	22	4	2	2	19	40	1	0	1	183	300	300	600	117	253	28	13	282	77	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	5509	4759	1149	238	18	235	626	1341	70	26	21	241	338	447	785	206	283	24	11	346	120	+134	-3	-17	+20	+119	25.8
/ 162G	—	A+C		—	650	562	136	28	2	28	74	158	8	3	2	242	339	448	787	206	283	24	11	346	120	+16	-0	-2	+2	+14	3.0
Career	—	MLE		—	6080	5301	1297	269	21	261	636	1467	84	41	29	245	335	451	786	206	286	24	10	345	120	+134	-3	-17	+20	+119	25.8
/ 162G	—	MLE		—	650	567	139	29	2	28	68	157	9	4	3	245	336	451	787	206	287	24	10	345	120	+16	-0	-2	+2	+14	3.0

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.

2005 AATennessee Smokies · 571 PAwOBA .373 → .326 (−48)K% 18.0% → 22.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.04%	÷1.000	×1.220	—	—	22.01%
BB% (unintentional) /PA	8.23%	÷1.000	×0.680	—	×0.998	5.59%
HBP% /PA	2.45%	—	×0.840	—	×0.998	2.06%
Singles /BIP	23.04%	÷1.000	×0.920	×1.017	×0.998	21.52%
Doubles /BIP	8.35%	÷1.000	×0.910	×1.017	×0.998	7.72%
Triples /BIP	0.76%	÷1.000	×0.880	×1.017	×0.998	0.68%
Home runs /BIP	5.32%	÷1.000	×0.800	—	×0.998	4.24%

Factors used: league row SL. Park (home-season share, regressed): no park row on file (treated as neutral) — 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 ×1.017.

Result: wOBA .373 → .326; ISO .205 → .176; BABIP .338 → .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).