Seth Smith

PosLF

B/TL/L

Born1982-09-30

Age (2027)44

No MLB projection yet. Career stats below are historical.

Overview

MLBLAST SEASON 2017

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR
2015	32	MLBSEA	452	.248/.334/.443	12	0	115	1.2
2016	33	MLBSEA	438	.249/.346/.415	16	0	117	0.6
2017	34	MLBBAL	373	.258/.341/.433	13	2	111	0.8
2018	35	No MLB games played
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 2.6

Contract

No contract data on file.

Skills · percentileStatcast 2015-2017

xwOBA85

Avg EV59

Barrel%49

Speed27

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	22	A+	Modesto Nuts	—	585	533	160	45	6	9	44	115	1	5	3	300	355	458	812	158	367	20	8	356	82	—	—	—	—	—	—
2006	23	AA	Tulsa Drillers	—	582	524	154	46	4	15	51	74	4	4	4	294	361	483	844	189	320	13	9	371	97	—	—	—	—	—	—
2007	24	AAA	Colorado Springs Sky Sox	—	506	451	143	32	6	17	39	73	10	7	3	317	383	528	911	211	345	14	8	396	112	—	—	—	—	—	—
2008	25	MLB	Colorado Rockies	—	123	108	28	7	0	4	15	23	0	1	0	259	350	435	785	176	296	19	12	351	124	+3	+0	-4	-5	+3	-0.2
2008	25	AAA	Colorado Springs Sky Sox	—	303	248	80	16	2	10	46	46	3	11	0	323	434	524	959	202	354	15	15	416	124	—	—	—	—	—	—
2009	26	MLB	Colorado Rockies	—	387	335	98	20	4	15	46	67	2	4	1	293	381	510	892	218	324	17	12	388	145	+21	+0	+3	-4	+8	2.9
2010	27	MLB	Colorado Rockies	—	398	358	88	19	5	17	35	67	2	2	1	246	316	469	786	223	256	17	9	342	103	+1	+0	+1	-4	+9	0.7
2011	28	MLB	Colorado Rockies	—	533	476	135	32	9	15	46	93	4	10	2	284	352	483	835	200	320	17	9	363	112	+7	+1	-11	-6	+12	0.4
2012	29	MLB	Oakland Athletics	—	441	383	92	23	2	14	50	98	5	2	2	240	336	420	756	180	285	22	11	337	110	+5	-0	-1	-5	+10	0.9
2013	30	MLB	Oakland Athletics	—	410	368	93	27	0	8	39	94	3	0	0	253	329	391	721	139	320	23	10	325	103	+1	+0	-2	-4	+9	0.4
2014	31	MLB	San Diego Padres	—	521	443	118	31	5	12	69	87	4	1	1	266	369	440	810	174	305	17	13	359	130	+19	-0	-8	-6	+11	1.7
2015	32	MLB	Seattle Mariners	—	452	395	98	31	5	12	47	99	4	0	0	248	334	443	777	195	298	22	10	340	115	+8	+0	-1	-5	+10	1.2
2016	33	MLB	Seattle Mariners	—	438	378	94	15	0	16	48	89	8	0	0	249	346	415	761	167	282	20	11	340	117	+9	+0	-8	-5	+9	0.6
2017	34	MLB	Baltimore Orioles	—	373	330	85	19	0	13	36	79	6	2	0	258	341	433	775	176	301	21	10	346	111	+5	+0	-2	-4	+8	0.8
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	4076	3574	929	224	30	126	431	796	38	22	7	260	346	445	791	185	299	20	11	349	123	+109	+2	-32	-47	+88	12.2
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2005	22	A+ MLE	Modesto Nuts	—	585	547	138	36	4	8	30	154	1	5	3	252	292	377	669	124	330	26	5	290	82	—	—	—	—	—	—
2006	23	AA MLE	Tulsa Drillers	—	582	539	140	40	4	12	36	90	4	4	4	260	311	416	726	156	291	15	6	312	97	—	—	—	—	—	—
2007	24	AAA MLE	Colorado Springs Sky Sox	—	506	462	128	27	5	14	29	94	10	7	3	277	333	448	781	171	312	19	6	333	112	—	—	—	—	—	—
2008	25	MLB MLE	Colorado Rockies	—	123	108	28	7	0	4	15	23	0	1	0	259	350	435	785	176	296	19	12	351	124	+3	+0	-4	-5	+3	-0.2
2008	25	AAA MLE	Colorado Springs Sky Sox	—	303	261	73	14	2	8	33	59	3	11	0	280	367	441	808	161	314	19	11	351	124	—	—	—	—	—	—
2009	26	MLB MLE	Colorado Rockies	—	387	338	98	20	4	15	43	67	2	4	1	290	373	506	879	216	324	17	11	383	145	+21	+0	+3	-4	+8	2.9
2010	27	MLB MLE	Colorado Rockies	—	398	359	82	18	3	15	34	67	2	2	1	228	299	421	719	192	256	17	9	320	103	+1	+0	+1	-4	+9	0.7
2011	28	MLB MLE	Colorado Rockies	—	533	483	127	31	6	13	39	93	4	10	2	263	323	433	756	170	320	17	7	333	112	+7	+1	-11	-6	+12	0.4
2012	29	MLB MLE	Oakland Athletics	—	441	390	92	22	2	15	43	98	5	2	2	236	320	418	738	182	285	22	10	331	110	+5	-0	-1	-5	+10	0.9
2013	30	MLB MLE	Oakland Athletics	—	410	372	93	26	0	9	35	94	3	0	0	250	320	392	712	142	320	23	9	320	103	+1	+0	-2	-4	+9	0.4
2014	31	MLB MLE	San Diego Padres	—	521	447	121	33	5	12	66	87	4	1	1	271	369	447	817	177	305	17	13	361	130	+19	-0	-8	-6	+11	1.7
2015	32	MLB MLE	Seattle Mariners	—	452	399	99	32	5	12	43	99	4	0	0	248	327	444	771	195	298	22	10	338	115	+8	+0	-1	-5	+10	1.2
2016	33	MLB MLE	Seattle Mariners	—	438	379	94	15	0	16	47	89	8	0	0	248	343	414	758	166	282	20	11	342	117	+9	+0	-8	-5	+9	0.6
2017	34	MLB MLE	Baltimore Orioles	—	373	333	83	19	0	12	33	79	6	2	0	249	328	414	742	165	301	21	9	333	111	+5	+0	-2	-4	+8	0.8
2005	22	A+ MLE	Modesto Nuts	—	585	547	138	36	4	8	30	154	1	5	3	252	292	377	669	124	335	26	5	290	82	—	—	—	—	—	—
2005	22	A+ RAW	Modesto Nuts	—	585	533	160	45	6	9	44	115	1	5	3	300	355	458	812	158	367	20	8	356	82	—	—	—	—	—	—
2006	23	AA MLE	Tulsa Drillers	—	582	539	140	40	4	12	36	90	4	4	4	260	311	416	726	156	293	15	6	312	97	—	—	—	—	—	—
2006	23	AA RAW	Tulsa Drillers	—	582	524	154	46	4	15	51	74	4	4	4	294	361	483	844	189	320	13	9	371	97	—	—	—	—	—	—
2007	24	AAA MLE	Colorado Springs Sky Sox	—	506	462	128	27	5	14	29	94	10	7	3	277	333	448	781	171	318	19	6	333	112	—	—	—	—	—	—
2007	24	AAA RAW	Colorado Springs Sky Sox	—	506	451	143	32	6	17	39	73	10	7	3	317	383	528	911	211	345	14	8	396	112	—	—	—	—	—	—
2008	25	AAA MLE	2 teams	—	426	369	101	21	2	12	48	82	3	12	0	274	362	439	801	165	317	19	11	351	124	—	—	—	—	—	—
2008	25	AAA RAW	2 teams	—	426	356	108	23	2	14	61	69	3	12	0	303	410	497	907	194	337	16	14	397	124	—	—	—	—	—	—
2009	26	MLB MLE	Colorado Rockies	—	387	338	98	20	4	15	43	67	2	4	1	290	373	506	879	216	320	17	11	383	145	+21	+0	+3	-4	+8	2.9
2009	26	MLB RAW	Colorado Rockies	—	387	335	98	20	4	15	46	67	2	4	1	293	381	510	892	218	324	17	12	388	145	+21	+0	+3	-4	+8	2.9
2010	27	MLB MLE	Colorado Rockies	—	398	359	82	18	3	15	34	67	2	2	1	228	299	421	719	192	239	17	9	320	103	+1	+0	+1	-4	+9	0.7
2010	27	MLB RAW	Colorado Rockies	—	398	358	88	19	5	17	35	67	2	2	1	246	316	469	786	223	256	17	9	342	103	+1	+0	+1	-4	+9	0.7
2011	28	MLB MLE	Colorado Rockies	—	533	483	127	31	6	13	39	93	4	10	2	263	323	433	756	170	297	17	7	333	112	+7	+1	-11	-6	+12	0.4
2011	28	MLB RAW	Colorado Rockies	—	533	476	135	32	9	15	46	93	4	10	2	284	352	483	835	200	320	17	9	363	112	+7	+1	-11	-6	+12	0.4
2012	29	MLB MLE	Oakland Athletics	—	441	390	92	22	2	15	43	98	5	2	2	236	320	418	738	182	275	22	10	331	110	+5	-0	-1	-5	+10	0.9
2012	29	MLB RAW	Oakland Athletics	—	441	383	92	23	2	14	50	98	5	2	2	240	336	420	756	180	285	22	11	337	110	+5	-0	-1	-5	+10	0.9
2013	30	MLB MLE	Oakland Athletics	—	410	372	93	26	0	9	35	94	3	0	0	250	320	392	712	142	312	23	9	320	103	+1	+0	-2	-4	+9	0.4
2013	30	MLB RAW	Oakland Athletics	—	410	368	93	27	0	8	39	94	3	0	0	253	329	391	721	139	320	23	10	325	103	+1	+0	-2	-4	+9	0.4
2014	31	MLB MLE	San Diego Padres	—	521	447	121	33	5	12	66	87	4	1	1	271	369	447	817	177	310	17	13	361	130	+19	-0	-8	-6	+11	1.7
2014	31	MLB RAW	San Diego Padres	—	521	443	118	31	5	12	69	87	4	1	1	266	369	440	810	174	305	17	13	359	130	+19	-0	-8	-6	+11	1.7
2015	32	MLB MLE	Seattle Mariners	—	452	399	99	32	5	12	43	99	4	0	0	248	327	444	771	195	297	22	10	338	115	+8	+0	-1	-5	+10	1.2
2015	32	MLB RAW	Seattle Mariners	—	452	395	98	31	5	12	47	99	4	0	0	248	334	443	777	195	298	22	10	340	115	+8	+0	-1	-5	+10	1.2
2016	33	MLB MLE	Seattle Mariners	—	438	379	94	15	0	16	47	89	8	0	0	248	343	414	758	166	281	20	11	342	117	+9	+0	-8	-5	+9	0.6
2016	33	MLB RAW	Seattle Mariners	—	438	378	94	15	0	16	48	89	8	0	0	249	346	415	761	167	282	20	11	340	117	+9	+0	-8	-5	+9	0.6
2017	34	MLB MLE	Baltimore Orioles	—	373	333	83	19	0	12	33	79	6	2	0	249	328	414	742	165	292	21	9	333	111	+5	+0	-2	-4	+8	0.8
2017	34	MLB RAW	Baltimore Orioles	—	373	330	85	19	0	13	36	79	6	2	0	258	341	433	775	176	301	21	10	346	111	+5	+0	-2	-4	+8	0.8
2005	22	A+ MLE	Modesto Nuts	—	585	549	138	36	4	8	30	154	1	5	3	251	292	375	668	124	330	26	5	290	82	—	—	—	—	—	—
2006	23	AA MLE	Tulsa Drillers	—	582	537	140	40	4	12	36	90	4	4	4	261	311	417	728	156	291	15	6	312	97	—	—	—	—	—	—
2007	24	AAA MLE	Colorado Springs Sky Sox	—	506	462	128	27	5	14	29	94	10	7	3	277	333	448	781	171	312	19	6	333	112	—	—	—	—	—	—
2008	25	AAA MLE	2 teams	—	426	372	101	21	2	12	48	82	3	12	0	272	362	435	797	164	309	19	11	351	124	—	—	—	—	—	—
2009	26	MLB MLE	Colorado Rockies	—	387	339	98	20	4	15	43	67	2	4	1	289	373	504	878	215	324	17	11	383	145	—	—	—	—	—	—
2010	27	MLB MLE	Colorado Rockies	—	398	359	82	18	3	15	34	67	2	2	1	228	299	421	719	192	256	17	9	320	103	—	—	—	—	—	—
2011	28	MLB MLE	Colorado Rockies	—	533	485	127	31	6	13	39	93	4	10	2	262	323	431	754	169	320	17	7	333	112	—	—	—	—	—	—
2012	29	MLB MLE	Oakland Athletics	—	441	390	92	22	2	15	43	98	5	2	2	236	320	418	738	182	285	22	10	331	110	—	—	—	—	—	—
2013	30	MLB MLE	Oakland Athletics	—	410	369	93	26	0	9	35	94	3	0	0	252	320	396	715	144	320	23	9	320	103	—	—	—	—	—	—
2014	31	MLB MLE	San Diego Padres	—	521	446	121	33	5	12	66	87	4	1	1	271	369	448	818	177	305	17	13	361	130	—	—	—	—	—	—
2015	32	MLB MLE	Seattle Mariners	—	452	402	99	32	5	12	43	99	4	0	0	246	327	440	768	194	298	22	10	338	115	—	—	—	—	—	—
2016	33	MLB MLE	Seattle Mariners	—	438	380	94	15	0	16	47	89	8	0	0	247	343	413	756	166	282	20	11	342	117	—	—	—	—	—	—
2017	34	MLB MLE	Baltimore Orioles	—	373	331	83	19	0	12	33	79	6	2	0	251	328	417	745	166	301	21	9	333	111	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	4076	3574	929	224	30	126	431	796	38	22	7	260	346	445	791	185	299	20	11	349	111	+109	+2	-32	-47	+88	12.2
/ 162G	—	A+C		—	650	570	149	36	5	20	69	127	6	4	1	261	347	447	795	186	301	20	11	349	111	+17	+0	-5	-7	+14	1.9
Career	—	MLE		—	6052	5417	1396	340	40	165	526	1193	56	49	17	258	330	427	756	169	300	20	9	333	111	+109	+2	-32	-47	+88	12.2
/ 162G	—	MLE		—	650	582	150	37	4	18	56	128	6	5	2	258	329	428	757	170	299	20	9	333	111	+17	+0	-5	-7	+14	1.9

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.

2008 AAAColorado Springs Sky Sox · 303 PAwOBA .413 → .351 (−62)K% 15.2% → 19.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.18%	÷1.000	×1.290	—	—	19.58%
BB% (unintentional) /PA	15.18%	÷1.000	×0.710	—	×1.018	10.97%
HBP% /PA	0.99%	—	×0.980	—	×1.018	0.99%
Singles /BIP	25.74%	÷1.000	×0.900	×1.006	×1.018	23.73%
Doubles /BIP	7.92%	÷1.000	×0.810	×1.006	×1.018	6.57%
Triples /BIP	0.99%	÷1.000	×0.810	×1.006	×1.018	0.82%
Home runs /BIP	4.95%	÷1.000	×0.780	—	×1.018	3.93%

Factors used: league row PCL. 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 ×1.006.

Result: wOBA .413 → .351; ISO .202 → .167; BABIP .354 → .314. 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 AAAColorado Springs Sky Sox · 506 PAwOBA .388 → .333 (−55)K% 14.4% → 18.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.43%	÷1.000	×1.290	—	—	18.61%
BB% (unintentional) /PA	7.71%	÷1.000	×0.710	—	×1.033	5.65%
HBP% /PA	1.98%	—	×0.980	—	×1.033	2.00%
Singles /BIP	23.28%	÷1.000	×0.900	×1.012	×1.033	21.90%
Doubles /BIP	8.47%	÷1.000	×0.810	×1.012	×1.033	7.17%
Triples /BIP	1.59%	÷1.000	×0.810	×1.012	×1.033	1.34%
Home runs /BIP	4.50%	÷1.000	×0.780	—	×1.033	3.62%

Factors used: league row PCL. 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 27.2 → +3.3% on BB/HBP/hit rates (2.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.012.

Result: wOBA .388 → .333; ISO .211 → .171; BABIP .345 → .312. 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 AATulsa Drillers · 582 PAwOBA .360 → .312 (−48)K% 12.7% → 15.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.71%	÷1.000	×1.220	—	—	15.51%
BB% (unintentional) /PA	8.59%	÷1.000	×0.700	—	×1.012	6.09%
HBP% /PA	0.69%	—	×0.870	—	×1.012	0.61%
Singles /BIP	19.78%	÷1.000	×0.920	×1.013	×1.012	18.65%
Doubles /BIP	10.22%	÷1.000	×0.840	×1.013	×1.012	8.80%
Triples /BIP	0.89%	÷1.000	×0.940	×1.013	×1.012	0.86%
Home runs /BIP	3.33%	÷1.000	×0.800	—	×1.012	2.70%

Factors used: league row TL. 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 24.8 → +1.2% on BB/HBP/hit rates (0.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.013.

Result: wOBA .360 → .312; ISO .189 → .161; BABIP .320 → .291. 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 A+Modesto Nuts · 585 PAwOBA .347 → .290 (−58)K% 19.7% → 26.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.66%	÷1.000	×1.340	—	—	26.34%
BB% (unintentional) /PA	7.35%	÷1.000	×0.710	—	×0.998	5.21%
HBP% /PA	0.17%	—	×0.790	—	×0.998	0.13%
Singles /BIP	23.92%	÷1.000	×0.910	×1.031	×0.998	22.40%
Doubles /BIP	10.77%	÷1.000	×0.820	×1.031	×0.998	9.08%
Triples /BIP	1.44%	÷1.000	×0.760	×1.031	×0.998	1.12%
Home runs /BIP	2.15%	÷1.000	×0.920	—	×0.998	1.98%

Factors used: league row CAL. 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 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 ×1.031.

Result: wOBA .347 → .290; ISO .158 → .129; BABIP .367 → .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).