Tyler Smith

PosSS

B/TR/R

Born1991-07-01

Age (2027)36

No MLB projection yet. Career stats below are historical.

Overview

AAALAST SEASON 2018

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2016	25	AAASEA	421	.268/.309/.357	5	6	63	—	.242/.271/.317
2017	26	AAATEX	383	.231/.323/.330	6	4	42	—	.183/.254/.249
2017	26	MLBSEA	19	.188/.278/.250	0	0	48	0.4
2018	27	AAAATL	178	.219/.298/.362	4	0	47	—	.181/.236/.289
2019	28	No MLB games played
2020	29	No MLB games played
2021	30	No MLB games played
2022	31	No MLB games played
2023	32	No MLB games played
2024	33	No MLB games played
2025	34	No MLB games played
2026	35	No MLB games played

Last 3 seasons WAR 0.4

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)
2013	22	ROK	Pulaski Mariners	—	233	200	64	16	3	2	18	32	9	12	5	320	401	460	861	140	365	14	8	376	76	—	—	—	—	—	—
2014	23	AA	Jackson Generals	—	87	70	19	3	1	1	16	13	1	1	1	271	414	386	800	114	321	15	18	369	98	—	—	—	—	—	—
2014	23	A+	High Desert Mavericks	—	492	423	121	19	7	9	57	81	7	11	7	286	380	428	808	142	334	16	12	360	82	—	—	—	—	—	—
2015	24	AA	Jackson Generals	—	520	443	120	24	2	3	61	85	3	10	4	271	363	354	717	84	328	16	12	322	80	—	—	—	—	—	—
2015	24	INTL	Peoria Javelinas	—	87	78	18	3	1	1	6	14	1	3	0	231	294	333	627	103	262	16	7	279	75	—	—	—	—	—	—
2016	25	AAA	Tacoma Rainiers	—	421	392	105	20	0	5	20	68	4	6	2	268	309	357	666	89	312	16	5	298	63	—	—	—	—	—	—
2017	26	MLB	Seattle Mariners	—	19	16	3	1	0	0	1	8	1	0	0	188	278	250	528	62	333	42	5	238	48	-1	+0	+1	+4	+0	0.4
2017	26	AAA	Round Rock Express	—	383	333	77	15	0	6	40	76	5	4	6	231	323	330	653	99	281	20	10	298	42	—	—	—	—	—	—
2018	27	AAA	Gwinnett Stripers	—	178	160	35	9	1	4	16	46	2	0	0	219	298	362	660	144	282	26	9	298	47	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	19	16	3	1	0	0	1	8	1	0	0	188	278	250	528	62	333	42	5	238	47	-1	+0	+1	+4	+0	0.4
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2013	22	ROK MLE	Pulaski Mariners	—	233	207	50	11	2	2	11	45	9	12	5	242	308	343	651	101	282	19	5	280	76	—	—	—	—	—	—
2014	23	AA MLE	Jackson Generals	—	87	76	19	3	1	1	10	16	1	1	1	250	345	355	700	105	308	18	11	313	98	—	—	—	—	—	—
2014	23	A+ MLE	High Desert Mavericks	—	492	439	104	15	5	7	41	117	7	11	7	237	312	342	654	105	302	24	8	290	82	—	—	—	—	—	—
2015	24	AA MLE	Jackson Generals	—	520	460	118	22	2	3	44	107	3	10	4	257	325	333	658	76	314	21	8	287	80	—	—	—	—	—	—
2016	25	AAA MLE	Tacoma Rainiers	—	421	401	97	18	0	4	12	84	4	6	2	242	271	317	588	75	293	20	3	261	63	—	—	—	—	—	—
2017	26	MLB MLE	Seattle Mariners	—	19	16	3	1	0	0	1	8	1	0	0	188	278	250	528	62	333	42	5	240	48	-1	+0	+1	+4	+0	0.4
2017	26	AAA MLE	Round Rock Express	—	383	345	63	11	0	4	28	95	5	4	6	183	254	249	503	67	234	25	7	230	42	—	—	—	—	—	—
2018	27	AAA MLE	Gwinnett Stripers	—	178	166	30	7	1	3	10	58	2	0	0	181	236	289	525	108	256	33	6	238	47	—	—	—	—	—	—
2013	22	ROK MLE	Pulaski Mariners	—	233	207	50	11	2	2	11	45	9	12	5	242	308	343	651	101	293	19	5	280	76	—	—	—	—	—	—
2013	22	ROK RAW	Pulaski Mariners	—	233	200	64	16	3	2	18	32	9	12	5	320	401	460	861	140	365	14	8	376	76	—	—	—	—	—	—
2014	23	A+ MLE	2 teams	—	579	514	123	18	6	8	52	133	8	12	8	239	319	344	663	105	307	23	9	293	85	—	—	—	—	—	—
2014	23	A+ RAW	2 teams	—	579	493	140	22	8	10	73	94	8	12	8	284	385	422	807	138	332	16	13	361	85	—	—	—	—	—	—
2015	24	AA MLE	2 teams	—	607	536	137	26	2	3	52	124	4	13	4	256	326	328	654	73	324	20	9	287	80	—	—	—	—	—	—
2015	24	AA RAW	2 teams	—	607	521	138	27	3	4	67	99	4	13	4	265	353	351	704	86	318	16	11	316	80	—	—	—	—	—	—
2016	25	AAA MLE	Tacoma Rainiers	—	421	401	97	18	0	4	12	84	4	6	2	242	271	317	588	75	295	20	3	261	63	—	—	—	—	—	—
2016	25	AAA RAW	Tacoma Rainiers	—	421	392	105	20	0	5	20	68	4	6	2	268	309	357	666	89	312	16	5	298	63	—	—	—	—	—	—
2017	26	AAA MLE	2 teams	—	402	361	67	13	0	4	29	103	6	4	6	186	258	255	512	69	245	26	7	230	42	—	—	—	—	—	—
2017	26	AAA RAW	2 teams	—	402	349	80	16	0	6	41	84	6	4	6	229	321	327	647	97	282	21	10	295	42	—	—	—	—	—	—
2018	27	AAA MLE	Gwinnett Stripers	—	178	166	30	7	1	3	10	58	2	0	0	181	236	289	525	108	257	33	6	238	47	—	—	—	—	—	—
2018	27	AAA RAW	Gwinnett Stripers	—	178	160	35	9	1	4	16	46	2	0	0	219	298	362	660	144	282	26	9	298	47	—	—	—	—	—	—
2013	22	ROK MLE	Pulaski Mariners	—	233	211	50	11	2	2	11	45	9	12	5	237	308	336	645	100	282	19	5	280	76	—	—	—	—	—	—
2014	23	A+ MLE	2 teams	—	579	514	123	18	6	8	52	133	8	12	8	239	319	344	663	105	303	23	9	293	85	—	—	—	—	—	—
2015	24	AA MLE	2 teams	—	607	546	137	26	2	3	52	124	4	13	4	251	326	322	648	71	314	20	9	287	80	—	—	—	—	—	—
2016	25	AAA MLE	Tacoma Rainiers	—	421	402	97	18	0	4	12	84	4	6	2	241	271	316	587	75	293	20	3	261	63	—	—	—	—	—	—
2017	26	AAA MLE	2 teams	—	402	364	67	13	0	4	29	103	6	4	6	184	258	253	510	69	239	26	7	230	42	—	—	—	—	—	—
2018	27	AAA MLE	Gwinnett Stripers	—	178	164	30	7	1	3	10	58	2	0	0	183	236	293	529	110	256	33	6	238	47	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	19	16	3	1	0	0	1	8	1	0	0	188	278	250	528	62	333	42	5	238	69	-1	+0	+1	+4	+0	0.4
/ 162G	—	A+C		—	650	547	102	34	0	0	34	274	34	0	0	186	276	249	525	62	332	42	5	238	69	-41	+0	+27	+147	+14	15.1
Career	—	MLE		—	2420	2185	504	93	11	24	166	547	33	47	25	231	295	316	611	86	295	23	7	270	69	-1	+0	+1	+4	+0	0.4
/ 162G	—	MLE		—	650	587	135	25	3	6	45	147	9	13	7	230	295	313	609	83	295	23	7	270	69	-41	+0	+27	+147	+14	15.1

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.

2018 AAAGwinnett Stripers · 178 PAwOBA .286 → .238 (−49)K% 25.8% → 32.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.84%	÷0.952	×1.200	—	—	32.58%
BB% (unintentional) /PA	7.87%	÷0.947	×0.690	—	×1.003	5.75%
HBP% /PA	1.12%	—	×0.940	—	×1.003	1.06%
Singles /BIP	18.42%	÷1.010	×0.930	×1.019	×1.003	17.34%
Doubles /BIP	7.89%	÷0.995	×0.830	×1.019	×1.003	6.73%
Triples /BIP	0.88%	÷1.116	×0.970	×1.019	×1.003	0.78%
Home runs /BIP	3.51%	÷0.970	×0.840	—	×1.003	3.05%

Factors used: league row IL. Park (home-season share, regressed): HR 94, 1B 102, 2B 99, 3B 123, K 90, BB 89 — applied at half strength. Age: age 27 vs a level average of 27.2 → +0.3% on BB/HBP/hit rates (0.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.019.

Result: wOBA .286 → .238; ISO .144 → .118; BABIP .282 → .256. 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).

2017 AAARound Rock Express · 383 PAwOBA .292 → .230 (−62)K% 19.8% → 24.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.84%	÷1.033	×1.290	—	—	24.78%
BB% (unintentional) /PA	10.44%	÷1.037	×0.710	—	×1.018	7.28%
HBP% /PA	1.31%	—	×0.980	—	×1.018	1.30%
Singles /BIP	21.79%	÷1.039	×0.900	×0.972	×1.018	18.67%
Doubles /BIP	5.84%	÷1.039	×0.810	×0.972	×1.018	4.50%
Triples /BIP	0.00%	÷1.046	×0.810	×0.972	×1.018	0.00%
Home runs /BIP	2.33%	÷1.117	×0.780	—	×1.018	1.66%

Factors used: league row PCL. Park (home-season share, regressed): HR 123, 1B 108, 2B 108, 3B 109, K 107, BB 107 — 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 ×0.972.

Result: wOBA .292 → .230; ISO .099 → .073; BABIP .281 → .234. 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 AAATacoma Rainiers · 421 PAwOBA .289 → .261 (−28)K% 16.2% → 20.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.15%	÷1.041	×1.290	—	—	20.02%
BB% (unintentional) /PA	4.28%	÷1.115	×0.710	—	×1.033	2.81%
HBP% /PA	0.95%	—	×0.980	—	×1.033	0.96%
Singles /BIP	24.69%	÷0.987	×0.900	×1.004	×1.033	23.36%
Doubles /BIP	6.17%	÷0.901	×0.810	×1.004	×1.033	5.75%
Triples /BIP	0.00%	÷1.063	×0.810	×1.004	×1.033	0.00%
Home runs /BIP	1.54%	÷0.896	×0.780	—	×1.033	1.39%

Factors used: league row PCL. Park (home-season share, regressed): HR 79, 1B 97, 2B 80, 3B 113, K 108, BB 123 — 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 ×1.004.

Result: wOBA .289 → .261; ISO .089 → .081; BABIP .312 → .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).

2015 AAJackson Generals · 520 PAwOBA .315 → .287 (−28)K% 16.3% → 20.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.35%	÷0.973	×1.220	—	—	20.50%
BB% (unintentional) /PA	11.73%	÷0.950	×0.680	—	×1.012	8.49%
HBP% /PA	0.58%	—	×0.840	—	×1.012	0.49%
Singles /BIP	25.42%	÷0.974	×0.920	×1.017	×1.012	24.71%
Doubles /BIP	6.70%	÷1.032	×0.910	×1.017	×1.012	6.08%
Triples /BIP	0.56%	÷0.900	×0.880	×1.017	×1.012	0.56%
Home runs /BIP	0.84%	÷0.890	×0.800	—	×1.012	0.76%

Factors used: league row SL. Park (home-season share, regressed): HR 78, 1B 95, 2B 106, 3B 80, K 95, BB 90 — 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 ×1.017.

Result: wOBA .315 → .287; ISO .084 → .079; BABIP .328 → .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).

2014 A+High Desert Mavericks · 492 PAwOBA .352 → .290 (−62)K% 16.5% → 23.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.46%	÷0.925	×1.340	—	—	23.84%
BB% (unintentional) /PA	11.38%	÷0.961	×0.710	—	×0.998	8.39%
HBP% /PA	1.42%	—	×0.790	—	×0.998	1.12%
Singles /BIP	25.15%	÷0.981	×0.910	×1.014	×0.998	23.61%
Doubles /BIP	5.56%	÷1.015	×0.820	×1.014	×0.998	4.54%
Triples /BIP	2.05%	÷1.001	×0.760	×1.014	×0.998	1.57%
Home runs /BIP	2.63%	÷1.097	×0.920	—	×0.998	2.20%

Factors used: league row CAL. Park (home-season share, regressed): HR 119, 1B 96, 2B 103, 3B 100, K 85, BB 92 — 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 ×1.014.

Result: wOBA .352 → .290; ISO .142 → .111; BABIP .334 → .302. 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).

2014 AAJackson Generals · 87 PAwOBA .361 → .313 (−48)K% 14.9% → 18.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.94%	÷0.968	×1.220	—	—	18.83%
BB% (unintentional) /PA	18.39%	÷1.083	×0.680	—	×1.027	11.86%
HBP% /PA	1.15%	—	×0.840	—	×1.027	0.99%
Singles /BIP	24.56%	÷1.003	×0.920	×1.013	×1.027	23.44%
Doubles /BIP	5.26%	÷0.955	×0.910	×1.013	×1.027	5.22%
Triples /BIP	1.75%	÷0.975	×0.880	×1.013	×1.027	1.65%
Home runs /BIP	1.75%	÷0.930	×0.800	—	×1.027	1.55%

Factors used: league row SL. Park (home-season share, regressed): HR 86, 1B 101, 2B 91, 3B 95, K 94, BB 117 — applied at half strength. Age: age 23 vs a level average of 24.8 → +2.7% on BB/HBP/hit rates (1.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.013.

Result: wOBA .361 → .313; ISO .114 → .112; BABIP .321 → .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).

2013 ROKPulaski Mariners · 233 PAwOBA .373 → .280 (−93)K% 13.7% → 19.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.73%	÷1.000	×1.420	—	—	19.50%
BB% (unintentional) /PA	7.73%	÷1.000	×0.640	—	×0.975	4.82%
HBP% /PA	3.86%	—	×0.740	—	×0.975	2.79%
Singles /BIP	25.60%	÷1.000	×0.840	×0.982	×0.975	20.59%
Doubles /BIP	9.52%	÷1.000	×0.740	×0.982	×0.975	6.75%
Triples /BIP	1.79%	÷1.000	×0.740	×0.982	×0.975	1.27%
Home runs /BIP	1.19%	÷1.000	×0.800	—	×0.975	0.93%

Factors used: level-wide ROK factors (no league-specific row for this league/era). 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 19.5 → −2.5% on BB/HBP/hit rates (2.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.982.

Result: wOBA .373 → .280; ISO .140 → .102; BABIP .365 → .282. 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 — .