B.J. Upton

PosCF

B/TR/R

Born1984-08-21

Age (2027)42

No MLB projection yet. Career stats below are historical.

Overview

AAALAST SEASON 2017

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2015	30	AAASD	55	.280/.327/.380	1	4	50	—	.231/.273/.327
2015	30	MLBSD	228	.259/.327/.429	5	9	111	1.2
2016	31	MLBTOR	539	.238/.293/.402	20	27	91	0.2
2017	32	AAASF	49	.244/.306/.333	1	0	27	—	.196/.245/.283
2018	33	No MLB games played
2019	34	No MLB games played
2020	35	No MLB games played
2021	36	No MLB games played
2022	37	No MLB games played
2023	38	No MLB games played
2024	39	No MLB games played
2025	40	No MLB games played
2026	41	No MLB games played

Last 3 seasons WAR 1.5

Contract

No contract data on file.

Skills · percentileStatcast 2015-2016

Speed68

xwOBA44

Avg EV41

Barrel%32

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	19	MLB	Tampa Bay Devil Rays	—	177	159	41	8	2	4	15	46	1	4	1	258	326	409	735	151	336	26	8	325	106	+1	+0	-3	+2	+4	0.5
2005	20	AAA	Durham Bulls	—	632	545	165	36	6	18	78	127	4	44	13	303	393	490	883	187	365	20	12	389	120	—	—	—	—	—	—
2006	21	MLB	Tampa Bay Devil Rays	—	189	175	43	5	0	1	13	40	1	11	3	246	302	291	593	46	313	21	7	274	72	-6	+1	-3	+2	+4	-0.2
2006	21	AAA	Durham Bulls	—	470	398	107	18	4	8	65	89	4	46	17	269	377	394	771	126	326	19	14	349	96	—	—	—	—	—	—
2007	22	MLB	Tampa Bay Devil Rays	—	548	474	142	25	1	24	65	154	4	22	8	300	389	508	897	209	393	28	12	393	148	+32	+1	-1	+2	+12	4.7
2007	22	A+	Vero Beach Devil Rays	—	24	17	4	0	0	1	5	2	0	0	0	235	409	412	821	176	188	8	21	345	115	—	—	—	—	—	—
2008	23	MLB	Tampa Bay Rays	—	640	531	145	37	2	9	97	134	2	44	16	273	387	401	788	128	344	21	15	354	123	+17	+2	+10	+2	+14	4.7
2009	24	MLB	Tampa Bay Rays	—	626	560	135	33	4	11	57	152	3	42	14	241	315	373	688	132	310	24	9	307	94	-4	+3	+9	+2	+14	2.4
2010	25	MLB	Tampa Bay Rays	—	610	536	127	38	4	18	67	164	2	42	9	237	324	424	747	187	304	27	11	330	110	+7	+5	+3	+2	+13	3.1
2011	26	MLB	Tampa Bay Rays	—	640	560	136	27	4	23	71	161	4	36	12	243	332	429	761	186	298	25	11	337	112	+9	+2	+4	+2	+14	3.2
2012	27	MLB	Tampa Bay Rays	—	633	573	141	29	3	28	45	169	1	31	6	246	301	454	755	208	294	27	7	325	107	+5	+4	+0	+2	+14	2.6
2013	28	MLB	Atlanta Braves	—	446	391	72	14	0	9	44	151	3	12	5	184	271	289	560	105	266	34	10	255	58	-22	+0	-0	+2	+10	-1.1
2014	29	MLB	Atlanta Braves	—	582	519	108	19	5	12	57	173	1	20	7	208	288	333	621	125	286	30	10	280	73	-19	+1	-3	+2	+13	-0.6
2015	30	MLB	San Diego Padres	—	228	205	53	12	4	5	21	62	0	9	3	259	327	429	757	171	348	27	9	333	111	+3	+1	+3	+1	+5	1.2
2015	30	AAA	El Paso Chihuahuas	—	55	50	14	2	0	1	4	12	0	4	0	280	327	380	707	100	351	22	7	316	50	—	—	—	—	—	—
2016	31	MLB	Toronto Blue Jays	—	539	492	117	15	3	20	37	155	2	27	8	238	293	402	696	165	300	29	7	305	91	-6	+2	-0	-6	+12	0.2
2017	32	AAA	Sacramento River Cats	—	49	45	11	1	0	1	4	14	0	0	0	244	306	333	639	89	333	29	8	292	27	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	5858	5175	1260	262	32	164	589	1561	24	300	92	243	323	402	725	158	314	27	10	322	104	+26	+23	+18	+16	+127	21.5
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2004	19	MLB MLE	Tampa Bay Devil Rays	—	177	159	41	8	2	4	15	46	1	4	1	258	326	409	735	151	336	26	8	325	106	+1	+0	-3	+2	+4	0.5
2005	20	AAA MLE	Durham Bulls	—	632	568	160	32	6	16	56	152	4	44	13	282	350	444	794	162	356	24	9	345	120	—	—	—	—	—	—
2006	21	MLB MLE	Tampa Bay Devil Rays	—	189	175	43	5	0	1	13	40	1	11	3	246	302	291	593	46	313	21	7	274	72	-6	+1	-3	+2	+4	-0.2
2006	21	AAA MLE	Durham Bulls	—	470	416	105	16	4	7	47	107	4	46	17	252	334	361	695	108	319	23	10	310	96	—	—	—	—	—	—
2007	22	MLB MLE	Tampa Bay Devil Rays	—	548	478	142	25	1	24	61	154	4	22	8	297	381	504	885	207	393	28	11	388	148	+32	+1	-1	+2	+12	4.7
2007	22	A+ MLE	Vero Beach Devil Rays	—	24	18	4	0	0	1	4	3	0	0	0	222	364	389	753	167	174	12	17	338	115	—	—	—	—	—	—
2008	23	MLB MLE	Tampa Bay Rays	—	640	535	145	37	2	9	93	134	2	44	16	271	381	398	779	127	344	21	15	349	123	+17	+2	+10	+2	+14	4.7
2009	24	MLB MLE	Tampa Bay Rays	—	626	560	135	33	4	11	57	152	3	42	14	241	315	373	688	132	310	24	9	307	94	-4	+3	+9	+2	+14	2.4
2010	25	MLB MLE	Tampa Bay Rays	—	610	537	128	39	4	19	66	164	2	42	9	238	324	432	756	194	304	27	11	330	110	+7	+5	+3	+2	+13	3.1
2011	26	MLB MLE	Tampa Bay Rays	—	640	564	136	28	4	24	67	161	4	36	12	241	326	433	759	191	298	25	10	333	112	+9	+2	+4	+2	+14	3.2
2012	27	MLB MLE	Tampa Bay Rays	—	633	575	141	30	3	29	45	169	1	31	6	245	301	459	760	214	294	27	7	326	107	+5	+4	+0	+2	+14	2.6
2013	28	MLB MLE	Atlanta Braves	—	446	394	72	13	0	10	42	151	3	12	5	183	267	292	558	109	266	34	9	254	58	-22	+0	-0	+2	+10	-1.1
2014	29	MLB MLE	Atlanta Braves	—	582	524	108	18	5	13	52	173	1	20	7	206	279	334	613	128	286	30	9	276	73	-19	+1	-3	+2	+13	-0.6
2015	30	MLB MLE	San Diego Padres	—	228	207	54	13	4	5	19	62	0	9	3	261	323	435	758	174	348	27	8	332	111	+3	+1	+3	+1	+5	1.2
2015	30	AAA MLE	El Paso Chihuahuas	—	55	52	12	2	0	1	3	16	0	4	0	231	273	327	600	96	295	29	5	242	50	—	—	—	—	—	—
2016	31	MLB MLE	Toronto Blue Jays	—	539	494	117	15	3	20	36	155	2	27	8	237	291	401	692	164	300	29	7	303	91	-6	+2	-0	-6	+12	0.2
2017	32	AAA MLE	Sacramento River Cats	—	49	46	9	1	0	1	3	18	0	0	0	196	245	283	528	87	272	37	6	208	27	—	—	—	—	—	—
2004	19	MLB MLE	Tampa Bay Devil Rays	—	177	159	41	8	2	4	15	46	1	4	1	258	326	409	735	151	336	26	8	325	106	+1	+0	-3	+2	+4	0.5
2004	19	MLB RAW	Tampa Bay Devil Rays	—	177	159	41	8	2	4	15	46	1	4	1	258	326	409	735	151	336	26	8	325	106	+1	+0	-3	+2	+4	0.5
2005	20	AAA MLE	Durham Bulls	—	632	568	160	32	6	16	56	152	4	44	13	282	350	444	794	162	357	24	9	345	120	—	—	—	—	—	—
2005	20	AAA RAW	Durham Bulls	—	632	545	165	36	6	18	78	127	4	44	13	303	393	490	883	187	365	20	12	389	120	—	—	—	—	—	—
2006	21	AAA MLE	2 teams	—	659	591	148	21	4	8	60	147	5	57	20	250	325	340	665	90	319	22	9	300	89	—	—	—	—	—	—
2006	21	AAA RAW	2 teams	—	659	573	150	23	4	9	78	129	5	57	20	262	355	363	718	101	322	20	12	328	89	—	—	—	—	—	—
2007	22	MLB MLE	2 teams	—	572	496	146	25	1	25	65	157	4	22	8	294	381	500	881	206	378	27	11	386	147	+32	+1	-1	+2	+12	4.8
2007	22	MLB RAW	2 teams	—	572	491	146	25	1	25	70	156	4	22	8	297	389	505	894	208	383	27	12	391	147	+32	+1	-1	+2	+12	4.8
2008	23	MLB MLE	Tampa Bay Rays	—	640	535	145	37	2	9	93	134	2	44	16	271	381	398	779	127	341	21	15	349	123	+17	+2	+10	+2	+14	4.7
2008	23	MLB RAW	Tampa Bay Rays	—	640	531	145	37	2	9	97	134	2	44	16	273	387	401	788	128	344	21	15	354	123	+17	+2	+10	+2	+14	4.7
2009	24	MLB MLE	Tampa Bay Rays	—	626	560	135	33	4	11	57	152	3	42	14	241	315	373	688	132	310	24	9	307	94	-4	+3	+9	+2	+14	2.4
2009	24	MLB RAW	Tampa Bay Rays	—	626	560	135	33	4	11	57	152	3	42	14	241	315	373	688	132	310	24	9	307	94	-4	+3	+9	+2	+14	2.4
2010	25	MLB MLE	Tampa Bay Rays	—	610	537	128	39	4	19	66	164	2	42	9	238	324	432	756	194	304	27	11	330	110	+7	+5	+3	+2	+13	3.1
2010	25	MLB RAW	Tampa Bay Rays	—	610	536	127	38	4	18	67	164	2	42	9	237	324	424	747	187	304	27	11	330	110	+7	+5	+3	+2	+13	3.1
2011	26	MLB MLE	Tampa Bay Rays	—	640	564	136	28	4	24	67	161	4	36	12	241	326	433	759	191	293	25	10	333	112	+9	+2	+4	+2	+14	3.2
2011	26	MLB RAW	Tampa Bay Rays	—	640	560	136	27	4	23	71	161	4	36	12	243	332	429	761	186	298	25	11	337	112	+9	+2	+4	+2	+14	3.2
2012	27	MLB MLE	Tampa Bay Rays	—	633	575	141	30	3	29	45	169	1	31	6	245	301	459	760	214	291	27	7	326	107	+5	+4	+0	+2	+14	2.6
2012	27	MLB RAW	Tampa Bay Rays	—	633	573	141	29	3	28	45	169	1	31	6	246	301	454	755	208	294	27	7	325	107	+5	+4	+0	+2	+14	2.6
2013	28	MLB MLE	Atlanta Braves	—	446	394	72	13	0	10	42	151	3	12	5	183	267	292	558	109	259	34	9	254	58	-22	+0	-0	+2	+10	-1.1
2013	28	MLB RAW	Atlanta Braves	—	446	391	72	14	0	9	44	151	3	12	5	184	271	289	560	105	266	34	10	255	58	-22	+0	-0	+2	+10	-1.1
2014	29	MLB MLE	Atlanta Braves	—	582	524	108	18	5	13	52	173	1	20	7	206	279	334	613	128	279	30	9	276	73	-19	+1	-3	+2	+13	-0.6
2014	29	MLB RAW	Atlanta Braves	—	582	519	108	19	5	12	57	173	1	20	7	208	288	333	621	125	286	30	10	280	73	-19	+1	-3	+2	+13	-0.6
2015	30	MLB MLE	2 teams	—	283	259	65	14	4	6	22	78	0	13	3	251	310	405	715	154	337	28	8	314	99	-0	+1	+3	+1	+6	1.1
2015	30	MLB RAW	2 teams	—	283	255	67	14	4	6	25	74	0	13	3	263	327	420	747	157	349	26	9	330	99	-0	+1	+3	+1	+6	1.1
2016	31	MLB MLE	Toronto Blue Jays	—	539	494	117	15	3	20	36	155	2	27	8	237	291	401	692	164	298	29	7	303	91	-6	+2	-0	-6	+12	0.2
2016	31	MLB RAW	Toronto Blue Jays	—	539	492	117	15	3	20	37	155	2	27	8	238	293	402	696	165	300	29	7	305	91	-6	+2	-0	-6	+12	0.2
2017	32	AAA MLE	Sacramento River Cats	—	49	46	9	1	0	1	3	18	0	0	0	196	245	283	528	87	296	37	6	208	27	—	—	—	—	—	—
2017	32	AAA RAW	Sacramento River Cats	—	49	45	11	1	0	1	4	14	0	0	0	244	306	333	639	89	333	29	8	292	27	—	—	—	—	—	—
2004	19	MLB MLE	Tampa Bay Devil Rays	—	177	159	41	8	2	4	15	46	1	4	1	258	326	409	735	151	336	26	8	325	106	—	—	—	—	—	—
2005	20	AAA MLE	Durham Bulls	—	632	567	160	32	6	16	56	152	4	44	13	282	350	444	795	162	356	24	9	345	120	—	—	—	—	—	—
2006	21	AAA MLE	2 teams	—	659	589	148	21	4	8	60	147	5	57	20	251	325	341	666	90	317	22	9	300	89	—	—	—	—	—	—
2007	22	MLB MLE	2 teams	—	572	498	146	25	1	25	65	157	4	22	8	293	381	498	879	205	384	27	11	386	147	—	—	—	—	—	—
2008	23	MLB MLE	Tampa Bay Rays	—	640	540	145	37	2	9	93	134	2	44	16	269	381	394	775	126	344	21	15	349	123	—	—	—	—	—	—
2009	24	MLB MLE	Tampa Bay Rays	—	626	561	135	33	4	11	57	152	3	42	14	241	315	373	687	132	310	24	9	307	94	—	—	—	—	—	—
2010	25	MLB MLE	Tampa Bay Rays	—	610	537	128	39	4	19	66	164	2	42	9	238	324	432	756	194	304	27	11	330	110	—	—	—	—	—	—
2011	26	MLB MLE	Tampa Bay Rays	—	640	564	136	28	4	24	67	161	4	36	12	241	326	433	759	191	298	25	10	333	112	—	—	—	—	—	—
2012	27	MLB MLE	Tampa Bay Rays	—	633	582	141	30	3	29	45	169	1	31	6	242	301	454	755	211	294	27	7	326	107	—	—	—	—	—	—
2013	28	MLB MLE	Atlanta Braves	—	446	398	72	13	0	10	42	151	3	12	5	181	267	289	555	108	266	34	9	254	58	—	—	—	—	—	—
2014	29	MLB MLE	Atlanta Braves	—	582	524	108	18	5	13	52	173	1	20	7	206	279	334	613	128	286	30	9	276	73	—	—	—	—	—	—
2015	30	MLB MLE	2 teams	—	283	259	65	14	4	6	22	78	0	13	3	251	310	405	715	154	338	28	8	314	99	—	—	—	—	—	—
2016	31	MLB MLE	Toronto Blue Jays	—	539	496	117	15	3	20	36	155	2	27	8	236	291	399	691	163	300	29	7	303	91	—	—	—	—	—	—
2017	32	AAA MLE	Sacramento River Cats	—	49	46	9	1	0	1	3	18	0	0	0	196	245	283	528	87	272	37	6	208	27	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	5858	5175	1260	262	32	164	589	1561	24	300	92	243	323	402	725	158	314	27	10	322	103	+26	+23	+18	+16	+127	21.5
/ 162G	—	A+C		—	650	574	140	29	4	18	65	173	3	33	10	244	323	402	726	159	314	27	10	322	103	+3	+3	+2	+2	+14	2.4
Career	—	MLE		—	7088	6302	1551	314	42	195	679	1857	32	394	122	246	323	402	725	156	315	26	10	320	103	+26	+23	+18	+16	+127	21.5
/ 162G	—	MLE		—	650	578	143	29	4	18	62	170	3	36	11	247	323	405	728	157	316	26	10	320	103	+3	+3	+2	+2	+14	2.4

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.

2017 AAASacramento River Cats · 49 PAwOBA .284 → .208 (−76)K% 28.6% → 37.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	28.57%	÷0.989	×1.290	—	—	37.27%
BB% (unintentional) /PA	8.16%	÷0.952	×0.710	—	×0.942	5.74%
HBP% /PA	0.00%	—	×0.980	—	×0.942	0.00%
Singles /BIP	29.03%	÷1.027	×0.900	—	×0.942	23.97%
Doubles /BIP	3.23%	÷0.975	×0.810	—	×0.942	2.53%
Triples /BIP	0.00%	÷0.920	×0.810	—	×0.942	0.00%
Home runs /BIP	3.23%	÷0.889	×0.780	—	×0.942	2.67%

Factors used: league row PCL. Park (home-season share, regressed): HR 78, 1B 105, 2B 95, 3B 84, K 98, BB 90 — applied at half strength. Age: age 33 vs a level average of 27.2 → −5.8% on BB/HBP/hit rates (5.8 yr older than average).

Result: wOBA .284 → .208; ISO .089 → .065; BABIP .333 → .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).

2015 AAAEl Paso Chihuahuas · 55 PAwOBA .308 → .242 (−66)K% 21.8% → 28.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.82%	÷0.980	×1.290	—	—	28.73%
BB% (unintentional) /PA	7.27%	÷0.972	×0.710	—	×0.962	5.11%
HBP% /PA	0.00%	—	×0.980	—	×0.962	0.00%
Singles /BIP	28.95%	÷1.017	×0.900	—	×0.962	24.64%
Doubles /BIP	5.26%	÷0.970	×0.810	—	×0.962	4.23%
Triples /BIP	0.00%	÷1.150	×0.810	—	×0.962	0.00%
Home runs /BIP	2.63%	÷0.919	×0.780	—	×0.962	2.15%

Factors used: league row PCL. Park (home-season share, regressed): HR 84, 1B 103, 2B 94, 3B 130, K 96, BB 94 — applied at half strength. Age: age 31 vs a level average of 27.2 → −3.8% on BB/HBP/hit rates (3.8 yr older than average).

Result: wOBA .308 → .242; ISO .100 → .078; BABIP .351 → .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).

2007 A+Vero Beach Devil Rays · 24 PAwOBA .368 → .338 (−30)K% 8.3% → 11.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	8.33%	÷1.000	×1.420	—	—	11.83%
BB% (unintentional) /PA	20.83%	÷1.000	×0.750	—	×0.998	15.59%
HBP% /PA	0.00%	—	×0.930	—	×0.998	0.00%
Singles /BIP	20.00%	÷1.000	×0.920	—	×0.998	18.36%
Doubles /BIP	0.00%	÷1.000	×0.960	—	×0.998	0.00%
Triples /BIP	0.00%	÷1.000	×0.810	—	×0.998	0.00%
Home runs /BIP	6.67%	÷1.000	×0.880	—	×0.998	5.85%

Factors used: league row FSL. 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).

Result: wOBA .368 → .338; ISO .176 → .180; BABIP .188 → .174. 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 AAADurham Bulls · 470 PAwOBA .343 → .310 (−33)K% 18.9% → 22.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.94%	÷1.000	×1.200	—	—	22.72%
BB% (unintentional) /PA	13.83%	÷1.000	×0.690	—	×1.050	10.02%
HBP% /PA	0.85%	—	×0.940	—	×1.050	0.84%
Singles /BIP	24.92%	÷1.000	×0.930	×1.024	×1.050	24.91%
Doubles /BIP	5.83%	÷1.000	×0.830	×1.024	×1.050	5.20%
Triples /BIP	1.29%	÷1.000	×0.970	×1.024	×1.050	1.35%
Home runs /BIP	2.59%	÷1.000	×0.840	—	×1.050	2.28%

Factors used: league row IL. 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 27.2 → +5.0% on BB/HBP/hit rates (5.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.024.

Result: wOBA .343 → .310; ISO .126 → .116; BABIP .326 → .319. 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 AAADurham Bulls · 632 PAwOBA .380 → .345 (−35)K% 20.1% → 24.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.09%	÷1.000	×1.200	—	—	24.11%
BB% (unintentional) /PA	12.18%	÷1.000	×0.690	—	×1.050	8.83%
HBP% /PA	0.63%	—	×0.940	—	×1.050	0.62%
Singles /BIP	25.12%	÷1.000	×0.930	×1.029	×1.050	25.24%
Doubles /BIP	8.61%	÷1.000	×0.830	×1.029	×1.050	7.72%
Triples /BIP	1.44%	÷1.000	×0.970	×1.029	×1.050	1.50%
Home runs /BIP	4.31%	÷1.000	×0.840	—	×1.050	3.80%

Factors used: league row IL. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 21 vs a level average of 27.2 → +5.0% on BB/HBP/hit rates (6.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.029.

Result: wOBA .380 → .345; ISO .187 → .170; BABIP .365 → .356. 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).