Taylor Featherston

Pos3B

B/TR/R

Born1989-10-08

Age (2027)37

No MLB projection yet. Career stats below are historical.

Overview

AALAST SEASON 2019

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2017	27	AAATB	291	.237/.319/.370	7	8	51	—	.188/.250/.282
2017	27	MLBTB	47	.179/.289/.359	2	1	79	0.1
2018	28	AAA/AA2 orgs	358	.197/.279/.321	7	9	29	—	.156/.219/.258
2019	29	AAA/AA2 orgs	447	.241/.305/.426	17	5	31	—	.157/.212/.276
2020	30	No MLB games played
2021	31	No MLB games played
2022	32	No MLB games played
2023	33	No MLB games played
2024	34	No MLB games played
2025	35	No MLB games played
2026	36	No MLB games played

Last 3 seasons WAR 0.1

Contract

No contract data on file.

Skills · percentileStatcast 2015-2017

Speed68

Avg EV23

Barrel%12

xwOBA10

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)
2012	22	A	Asheville Tourists	—	444	378	113	30	4	12	53	87	8	15	4	299	396	495	891	196	357	20	12	391	79	—	—	—	—	—	—
2013	23	A+	Modesto Nuts	—	516	469	137	31	10	13	30	110	9	17	4	292	346	484	830	192	352	21	6	360	78	—	—	—	—	—	—
2014	24	AA	Tulsa Drillers	—	550	497	129	33	4	16	38	114	9	14	6	260	324	439	762	179	305	21	7	335	74	—	—	—	—	—	—
2014	24	INTL	Salt River Rafters	—	79	68	20	2	3	1	7	23	0	4	1	294	360	456	816	162	422	29	9	342	118	—	—	—	—	—	—
2015	25	MLB	Los Angeles Angels	—	169	154	25	5	1	2	7	46	3	4	2	162	213	247	460	84	215	27	4	205	26	-15	+0	+5	+1	+4	-0.6
2015	25	AAA	Salt Lake Bees	—	32	29	5	1	1	0	2	8	0	0	0	172	226	276	502	103	227	25	6	219	5	—	—	—	—	—	—
2015	25	INTL	Tigres del Licey	—	38	37	8	2	2	0	0	6	0	1	1	216	216	378	595	162	258	16	0	248	54	—	—	—	—	—	—
2016	26	MLB	Philadelphia Phillies	—	28	26	3	1	0	0	2	11	0	2	0	115	179	154	332	38	200	39	7	160	-5	-3	+0	-1	+2	+1	-0.1
2016	26	AAA	Lehigh Valley IronPigs	—	439	402	102	23	4	13	25	98	9	6	3	254	312	428	740	174	304	22	6	326	68	—	—	—	—	—	—
2017	27	MLB	Tampa Bay Rays	—	47	39	7	1	0	2	5	15	1	1	0	179	289	359	648	179	208	32	11	283	79	-1	+0	-0	+1	+1	0.1
2017	27	AAA	Durham Bulls	—	291	257	61	13	0	7	28	92	3	8	0	237	319	370	689	132	335	32	10	310	51	—	—	—	—	—	—
2018	28	AAA	Rochester Red Wings	—	213	180	30	4	2	4	20	70	7	7	1	167	275	278	553	111	236	33	9	253	24	—	—	—	—	—	—
2018	28	AA	Pensacola Blue Wahoos	—	145	135	32	2	4	3	8	50	1	2	0	237	285	378	662	141	349	34	6	292	37	—	—	—	—	—	—
2019	29	AAA	Omaha Storm Chasers	—	56	47	12	0	2	4	5	23	4	2	0	255	375	596	971	340	400	41	9	418	65	—	—	—	—	—	—
2019	29	AA	Northwest Arkansas Naturals	—	391	359	86	12	4	13	19	150	9	3	6	240	295	404	698	164	367	38	5	308	26	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	244	219	35	7	1	4	14	72	4	7	2	160	224	256	479	96	212	30	6	215	32	-20	+1	+4	+4	+5	-0.6
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2012	22	A MLE	Asheville Tourists	—	444	398	90	21	3	8	33	124	8	15	4	226	298	354	653	128	297	28	7	285	79	—	—	—	—	—	—
2013	23	A+ MLE	Modesto Nuts	—	516	479	111	22	6	13	20	148	9	17	4	232	276	384	660	152	294	29	4	283	78	—	—	—	—	—	—
2014	24	AA MLE	Tulsa Drillers	—	550	511	114	26	4	14	24	139	9	14	6	223	270	372	642	149	272	25	4	277	74	—	—	—	—	—	—
2015	25	MLB MLE	Los Angeles Angels	—	169	154	25	5	1	2	7	46	3	4	2	162	213	247	460	84	215	27	4	206	26	-15	+0	+5	+1	+4	-0.6
2015	25	AAA MLE	Salt Lake Bees	—	32	30	5	1	1	0	1	11	0	0	0	167	194	267	460	100	198	34	3	175	5	—	—	—	—	—	—
2016	26	MLB MLE	Philadelphia Phillies	—	28	26	3	1	0	0	2	11	0	2	0	115	179	154	332	38	200	39	7	161	-5	-3	+0	-1	+2	+1	-0.1
2016	26	AAA MLE	Lehigh Valley IronPigs	—	439	411	88	19	3	11	16	115	9	6	3	214	259	355	614	141	267	26	4	269	68	—	—	—	—	—	—
2017	27	MLB MLE	Tampa Bay Rays	—	47	39	7	1	0	2	5	15	1	1	0	179	289	359	648	179	208	32	11	284	79	-1	+0	-0	+1	+1	0.1
2017	27	AAA MLE	Durham Bulls	—	291	266	50	10	0	5	19	107	3	8	0	188	250	282	532	94	287	37	7	243	51	—	—	—	—	—	—
2018	28	AAA MLE	Rochester Red Wings	—	213	187	26	3	2	4	13	86	7	7	1	139	222	241	463	102	200	40	6	203	24	—	—	—	—	—	—
2018	28	AA MLE	Pensacola Blue Wahoos	—	145	138	25	2	3	2	5	59	1	2	0	181	215	283	498	101	295	41	3	223	37	—	—	—	—	—	—
2019	29	AAA MLE	Omaha Storm Chasers	—	56	49	7	0	1	2	3	31	4	2	0	143	250	306	556	163	316	55	5	265	65	—	—	—	—	—	—
2019	29	AA MLE	Northwest Arkansas Naturals	—	391	365	58	8	3	9	13	190	9	3	6	159	207	271	478	112	278	49	3	207	26	—	—	—	—	—	—
2012	22	A MLE	Asheville Tourists	—	444	398	90	21	3	8	33	124	8	15	4	226	298	354	653	128	304	28	7	285	79	—	—	—	—	—	—
2012	22	A RAW	Asheville Tourists	—	444	378	113	30	4	12	53	87	8	15	4	299	396	495	891	196	357	20	12	391	79	—	—	—	—	—	—
2013	23	A+ MLE	Modesto Nuts	—	516	479	111	22	6	13	20	148	9	17	4	232	276	384	660	152	302	29	4	283	78	—	—	—	—	—	—
2013	23	A+ RAW	Modesto Nuts	—	516	469	137	31	10	13	30	110	9	17	4	292	346	484	830	192	352	21	6	360	78	—	—	—	—	—	—
2014	24	AA MLE	2 teams	—	629	583	130	29	5	16	27	159	9	18	7	223	268	372	640	149	277	25	4	277	74	—	—	—	—	—	—
2014	24	AA RAW	2 teams	—	629	565	149	35	7	17	45	137	9	18	7	264	328	441	769	177	318	22	7	336	74	—	—	—	—	—	—
2015	25	MLB MLE	3 teams	—	239	219	34	7	2	2	10	68	3	5	3	155	203	233	435	78	212	28	4	201	22	-22	-0	+5	+1	+5	-1.2
2015	25	MLB RAW	3 teams	—	239	220	38	8	4	2	9	60	3	5	3	173	216	273	488	100	225	25	4	214	22	-22	-0	+5	+1	+5	-1.2
2016	26	AAA MLE	2 teams	—	467	437	91	20	3	11	18	126	9	8	3	208	254	343	598	135	265	27	4	263	64	—	—	—	—	—	—
2016	26	AAA RAW	2 teams	—	467	428	105	24	4	13	27	109	9	8	3	245	304	411	715	166	299	23	6	316	64	—	—	—	—	—	—
2017	27	AAA MLE	2 teams	—	338	305	57	11	0	7	24	122	4	9	0	187	255	292	547	105	276	36	7	249	54	—	—	—	—	—	—
2017	27	AAA RAW	2 teams	—	338	296	68	14	0	9	33	107	4	9	0	230	315	368	684	139	319	32	10	306	54	—	—	—	—	—	—
2018	28	AAA MLE	2 teams	—	358	324	51	5	5	6	19	145	8	9	1	157	222	259	481	102	253	41	5	211	29	—	—	—	—	—	—
2018	28	AAA RAW	2 teams	—	358	315	62	6	6	7	28	120	8	9	1	197	279	321	600	124	285	34	8	269	29	—	—	—	—	—	—
2019	29	AA MLE	2 teams	—	447	414	66	8	4	12	16	221	13	5	6	159	214	285	499	126	293	49	4	214	31	—	—	—	—	—	—
2019	29	AA RAW	2 teams	—	447	406	98	12	6	17	24	173	13	5	6	241	305	426	731	185	370	39	5	322	31	—	—	—	—	—	—
2012	22	A MLE	Asheville Tourists	—	444	400	90	21	3	8	33	124	8	15	4	225	298	352	651	127	297	28	7	285	79	—	—	—	—	—	—
2013	23	A+ MLE	Modesto Nuts	—	516	482	111	22	6	13	20	148	9	17	4	230	276	382	657	151	294	29	4	283	78	—	—	—	—	—	—
2014	24	AA MLE	2 teams	—	629	588	130	29	5	16	27	159	9	18	7	221	268	369	637	148	272	25	4	277	74	—	—	—	—	—	—
2015	25	MLB MLE	3 teams	—	239	224	34	7	2	2	10	68	3	5	3	152	203	228	430	76	212	28	4	201	22	—	—	—	—	—	—
2016	26	AAA MLE	2 teams	—	467	437	91	20	3	11	18	126	9	8	3	208	254	343	598	135	263	27	4	263	64	—	—	—	—	—	—
2017	27	AAA MLE	2 teams	—	338	307	57	11	0	7	24	122	4	9	0	186	255	290	545	104	276	36	7	249	54	—	—	—	—	—	—
2018	28	AAA MLE	2 teams	—	358	328	51	5	5	6	19	145	8	9	1	155	222	256	478	101	238	41	5	211	29	—	—	—	—	—	—
2019	29	AA MLE	2 teams	—	447	415	66	8	4	12	16	221	13	5	6	159	214	284	499	125	283	49	4	214	31	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	244	219	35	7	1	4	14	72	4	7	2	160	224	256	479	96	212	30	6	215	58	-20	+1	+4	+4	+5	-0.6
/ 162G	—	A+C		—	650	583	94	19	3	11	37	192	11	19	5	161	225	261	486	99	214	30	6	215	58	-53	+2	+11	+10	+14	-1.7
Career	—	MLE		—	3438	3159	630	123	28	75	167	1113	63	86	28	199	254	327	581	128	277	32	5	254	58	-20	+1	+4	+4	+5	-0.6
/ 162G	—	MLE		—	650	597	118	23	5	14	32	210	12	16	5	198	253	323	576	126	274	32	5	254	58	-53	+2	+11	+10	+14	-1.7

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.

2019 AANorthwest Arkansas Naturals · 391 PAwOBA .302 → .207 (−95)K% 38.4% → 48.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	38.36%	÷0.962	×1.220	—	—	48.64%
BB% (unintentional) /PA	4.86%	÷1.001	×0.700	—	×0.948	3.22%
HBP% /PA	2.30%	—	×0.870	—	×0.948	1.90%
Singles /BIP	27.27%	÷1.083	×0.920	×0.950	×0.948	20.87%
Doubles /BIP	5.74%	÷0.986	×0.840	×0.950	×0.948	4.40%
Triples /BIP	1.91%	÷1.091	×0.940	×0.950	×0.948	1.48%
Home runs /BIP	6.22%	÷0.901	×0.800	—	×0.948	5.24%

Factors used: league row TL. Park (home-season share, regressed): HR 80, 1B 117, 2B 97, 3B 118, K 92, BB 100 — applied at half strength. Age: age 30 vs a level average of 24.8 → −5.2% on BB/HBP/hit rates (5.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .302 → .207; ISO .164 → .116; BABIP .367 → .278. 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).

2019 AAAOmaha Storm Chasers · 56 PAwOBA .407 → .265 (−142)K% 41.1% → 54.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	41.07%	÷0.971	×1.290	—	—	54.58%
BB% (unintentional) /PA	8.93%	÷1.065	×0.710	—	×0.972	5.79%
HBP% /PA	7.14%	—	×0.980	—	×0.972	6.80%
Singles /BIP	25.00%	÷1.024	×0.900	—	×0.972	21.35%
Doubles /BIP	0.00%	÷0.973	×0.810	—	×0.972	0.00%
Triples /BIP	8.33%	÷1.038	×0.810	—	×0.972	6.32%
Home runs /BIP	16.67%	÷1.023	×0.780	—	×0.972	12.35%

Factors used: league row PCL. Park (home-season share, regressed): HR 105, 1B 105, 2B 95, 3B 108, K 94, BB 113 — 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 .407 → .265; ISO .340 → .194; BABIP .400 → .316. 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).

2018 AAARochester Red Wings · 213 PAwOBA .252 → .203 (−49)K% 32.9% → 40.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	32.86%	÷0.978	×1.200	—	—	40.34%
BB% (unintentional) /PA	9.39%	÷1.008	×0.690	—	×0.982	6.31%
HBP% /PA	3.29%	—	×0.940	—	×0.982	3.03%
Singles /BIP	18.18%	÷1.023	×0.930	×0.968	×0.982	15.72%
Doubles /BIP	3.64%	÷1.009	×0.830	×0.968	×0.982	2.84%
Triples /BIP	1.82%	÷1.150	×0.970	×0.968	×0.982	1.46%
Home runs /BIP	3.64%	÷0.879	×0.840	—	×0.982	3.41%

Factors used: league row IL. Park (home-season share, regressed): HR 76, 1B 105, 2B 102, 3B 130, K 96, BB 102 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.968.

Result: wOBA .252 → .203; ISO .111 → .095; BABIP .236 → .200. 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).

2018 AAPensacola Blue Wahoos · 145 PAwOBA .287 → .223 (−64)K% 34.5% → 40.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	34.48%	÷1.030	×1.220	—	—	40.83%
BB% (unintentional) /PA	5.52%	÷0.967	×0.680	—	×0.958	3.72%
HBP% /PA	0.69%	—	×0.840	—	×0.958	0.55%
Singles /BIP	27.06%	÷1.023	×0.920	×0.994	×0.958	23.15%
Doubles /BIP	2.35%	÷1.039	×0.910	×0.994	×0.958	1.96%
Triples /BIP	4.71%	÷1.006	×0.880	×0.994	×0.958	3.92%
Home runs /BIP	3.53%	÷0.909	×0.800	—	×0.958	2.97%

Factors used: league row SL. Park (home-season share, regressed): HR 82, 1B 105, 2B 108, 3B 101, K 106, BB 93 — applied at half strength. Age: age 29 vs a level average of 24.8 → −4.2% on BB/HBP/hit rates (4.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.994.

Result: wOBA .287 → .223; ISO .141 → .110; BABIP .349 → .295. 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 AAADurham Bulls · 291 PAwOBA .305 → .243 (−61)K% 31.6% → 36.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	31.62%	÷1.027	×1.200	—	—	36.94%
BB% (unintentional) /PA	9.62%	÷0.993	×0.690	—	×0.992	6.64%
HBP% /PA	1.03%	—	×0.940	—	×0.992	0.96%
Singles /BIP	24.85%	÷1.025	×0.930	×0.981	×0.992	21.93%
Doubles /BIP	7.88%	÷1.008	×0.830	×0.981	×0.992	6.31%
Triples /BIP	0.00%	÷1.022	×0.970	×0.981	×0.992	0.00%
Home runs /BIP	4.24%	÷1.049	×0.840	—	×0.992	3.37%

Factors used: league row IL. Park (home-season share, regressed): HR 110, 1B 105, 2B 102, 3B 104, K 105, BB 99 — applied at half strength. Age: age 28 vs a level average of 27.2 → −0.8% on BB/HBP/hit rates (0.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.981.

Result: wOBA .305 → .243; ISO .132 → .103; BABIP .335 → .287. 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 AAALehigh Valley IronPigs · 439 PAwOBA .318 → .269 (−49)K% 22.3% → 26.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.32%	÷1.018	×1.200	—	—	26.32%
BB% (unintentional) /PA	5.47%	÷1.035	×0.690	—	×1.003	3.66%
HBP% /PA	2.05%	—	×0.940	—	×1.003	1.93%
Singles /BIP	20.39%	÷1.028	×0.930	×1.000	×1.003	18.51%
Doubles /BIP	7.57%	÷1.018	×0.830	×1.000	×1.003	6.19%
Triples /BIP	1.32%	÷1.107	×0.970	×1.000	×1.003	1.16%
Home runs /BIP	4.28%	÷0.942	×0.840	—	×1.003	3.82%

Factors used: league row IL. Park (home-season share, regressed): HR 88, 1B 106, 2B 104, 3B 121, K 104, BB 107 — 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 ×1.000.

Result: wOBA .318 → .269; ISO .174 → .149; BABIP .304 → .267. 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 AAASalt Lake Bees · 32 PAwOBA .220 → .175 (−46)K% 25.0% → 33.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.00%	÷0.952	×1.290	—	—	33.89%
BB% (unintentional) /PA	6.25%	÷1.025	×0.710	—	×1.018	4.41%
HBP% /PA	0.00%	—	×0.980	—	×1.018	0.00%
Singles /BIP	14.29%	÷1.012	×0.900	—	×1.018	12.93%
Doubles /BIP	4.76%	÷1.001	×0.810	—	×1.018	3.92%
Triples /BIP	4.76%	÷0.987	×0.810	—	×1.018	3.98%
Home runs /BIP	0.00%	÷0.980	×0.780	—	×1.018	0.00%

Factors used: league row PCL. Park (home-season share, regressed): HR 96, 1B 102, 2B 100, 3B 97, K 90, BB 105 — 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).

Result: wOBA .220 → .175; ISO .103 → .081; BABIP .227 → .198. 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 AATulsa Drillers · 550 PAwOBA .325 → .277 (−49)K% 20.7% → 25.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.73%	÷0.998	×1.220	—	—	25.34%
BB% (unintentional) /PA	6.36%	÷1.038	×0.700	—	×0.998	4.28%
HBP% /PA	1.64%	—	×0.870	—	×0.998	1.42%
Singles /BIP	19.84%	÷0.995	×0.920	×1.012	×0.998	18.54%
Doubles /BIP	8.62%	÷1.087	×0.840	×1.012	×0.998	6.72%
Triples /BIP	1.04%	÷0.901	×0.940	×1.012	×0.998	1.10%
Home runs /BIP	4.18%	÷0.894	×0.800	—	×0.998	3.73%

Factors used: league row TL. Park (home-season share, regressed): HR 79, 1B 99, 2B 117, 3B 80, K 100, BB 108 — 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 ×1.012.

Result: wOBA .325 → .277; ISO .179 → .154; BABIP .305 → .272. 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 — .