Chris Young

PosCF

B/TR/R

Born1983-09-05

Age (2027)43

No MLB projection yet. Career stats below are historical.

Overview

MLBLAST SEASON 2018

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2016	32	AAAPawtucket Red…	25	.217/.280/.304	0	0	30	—	.217/.280/.304
2016	32	MLBBOS	227	.276/.352/.498	9	4	132	0.7
2017	33	MLBBOS	276	.235/.324/.387	7	3	99	-0.1
2018	34	MLBLAA	128	.168/.254/.363	6	2	70	-0.4
2019	35	No MLB games played
2020	36	No MLB games played
2021	37	No MLB games played
2022	38	No MLB games played
2023	39	No MLB games played
2024	40	No MLB games played
2025	41	No MLB games played
2026	42	No MLB games played

Last 3 seasons WAR 0.3

Contract

No contract data on file.

Skills · percentileStatcast 2016-2018

Speed43

xwOBA40

Barrel%24

Avg EV10

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	21	AA	Birmingham Barons	—	553	466	129	41	3	26	70	129	7	32	6	277	379	545	924	268	328	23	13	396	109	—	—	—	—	—	—
2006	22	MLB	Arizona Diamondbacks	—	78	70	17	4	0	2	6	12	1	2	1	243	312	386	697	143	263	15	8	310	96	-0	+0	+3	+2	+2	0.6
2006	22	AAA	Tucson Sidewinders	—	466	402	111	32	4	21	52	71	6	17	5	276	367	532	900	256	286	15	11	388	99	—	—	—	—	—	—
2007	23	MLB	Arizona Diamondbacks	—	624	569	135	29	3	32	43	141	6	27	6	237	298	467	765	230	257	23	7	332	110	+8	+3	-6	+2	+14	2.1
2008	24	MLB	Arizona Diamondbacks	—	699	625	155	42	7	22	62	165	1	14	5	248	317	443	760	195	300	24	9	331	108	+7	+1	+3	+2	+15	2.9
2009	25	MLB	Arizona Diamondbacks	—	501	433	92	28	4	15	59	133	4	11	4	212	312	400	712	187	268	27	12	316	98	-1	+1	-4	+2	+11	0.9
2009	25	AAA	Reno Aces	—	63	54	20	5	1	3	9	13	0	2	2	370	460	667	1.127	296	447	21	14	484	143	—	—	—	—	—	—
2010	26	MLB	Arizona Diamondbacks	—	664	584	150	33	0	27	74	145	2	28	7	257	342	452	794	195	296	22	11	351	119	+15	+3	+6	+2	+14	4.2
2011	27	MLB	Arizona Diamondbacks	—	659	567	134	38	3	20	80	139	4	22	9	236	335	420	755	183	275	21	12	334	103	+2	+1	+18	+2	+14	3.9
2012	28	MLB	Arizona Diamondbacks	—	363	325	75	24	0	14	36	79	2	8	3	231	311	434	745	203	263	22	10	331	104	+2	+0	+5	+1	+8	1.7
2013	29	MLB	Oakland Athletics	—	375	335	67	18	3	12	36	93	2	10	3	200	282	379	661	179	237	25	10	294	85	-7	+1	-2	+1	+8	0.2
2014	30	MLB	New York Yankees	—	366	325	72	20	0	11	32	70	5	8	3	222	301	385	686	163	247	19	9	305	88	-5	+0	-2	-4	+8	-0.3
2014	30	AAA	Scranton/Wilkes-Barre RailRiders	—	30	27	11	2	0	3	3	8	0	1	0	407	467	815	1.281	407	500	27	10	544	181	—	—	—	—	—	—
2015	31	MLB	New York Yankees	—	356	318	80	20	1	14	30	73	3	3	1	252	322	453	775	201	283	21	8	338	109	+4	+0	-8	-4	+8	0.0
2016	32	MLB	Boston Red Sox	—	227	203	56	18	0	9	21	50	3	4	2	276	352	498	850	222	326	22	9	374	132	+9	+0	-4	-3	+5	0.7
2016	32	AAA	Pawtucket Red Sox	—	25	23	5	2	0	0	1	7	1	0	0	217	280	304	584	87	312	28	4	269	30	—	—	—	—	—	—
2017	33	MLB	Boston Red Sox	—	276	243	57	12	2	7	30	55	2	3	2	235	324	387	710	152	275	20	11	320	99	-0	-0	-3	-3	+6	-0.1
2018	34	MLB	Los Angeles Angels	—	128	113	19	2	1	6	11	37	2	2	0	168	254	363	617	195	183	29	9	272	70	-5	+0	-1	-1	+3	-0.4
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	5316	4710	1109	288	24	191	520	1192	37	142	46	235	316	428	745	193	273	22	10	328	108	+52	+10	+6	+1	+115	18.8
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2005	21	AA MLE	Birmingham Barons	—	553	487	116	37	3	22	49	158	7	32	6	238	317	462	779	224	293	29	9	329	109	—	—	—	—	—	—
2006	22	MLB MLE	Arizona Diamondbacks	—	78	70	17	4	0	2	6	12	1	2	1	243	312	386	697	143	263	15	8	310	96	-0	+0	+3	+2	+2	0.6
2006	22	AAA MLE	Tucson Sidewinders	—	466	417	94	26	3	17	37	92	6	17	5	225	298	424	722	199	243	20	8	315	99	—	—	—	—	—	—
2007	23	MLB MLE	Arizona Diamondbacks	—	624	570	135	29	3	32	42	141	6	27	6	237	296	467	763	230	257	23	7	331	110	+8	+3	-6	+2	+14	2.1
2008	24	MLB MLE	Arizona Diamondbacks	—	699	627	155	42	7	22	60	165	1	14	5	247	314	442	756	195	300	24	9	329	108	+7	+1	+3	+2	+15	2.9
2009	25	MLB MLE	Arizona Diamondbacks	—	501	435	92	28	4	15	57	133	4	11	4	211	308	398	706	186	268	27	11	313	98	-1	+1	-4	+2	+11	0.9
2009	25	AAA MLE	Reno Aces	—	63	57	17	4	1	2	6	17	0	2	2	298	365	509	874	211	389	27	10	380	143	—	—	—	—	—	—
2010	26	MLB MLE	Arizona Diamondbacks	—	664	584	147	30	0	27	74	145	2	28	7	252	338	442	780	190	296	22	11	344	119	+15	+3	+6	+2	+14	4.2
2011	27	MLB MLE	Arizona Diamondbacks	—	659	571	130	35	2	20	76	139	4	22	9	228	323	401	724	173	275	21	12	321	103	+2	+1	+18	+2	+14	3.9
2012	28	MLB MLE	Arizona Diamondbacks	—	363	325	73	22	0	14	36	79	2	8	3	225	306	422	727	197	263	22	10	322	104	+2	+0	+5	+1	+8	1.7
2013	29	MLB MLE	Oakland Athletics	—	375	338	67	17	3	13	33	93	2	10	3	198	273	382	655	183	237	25	9	294	85	-7	+1	-2	+1	+8	0.2
2014	30	MLB MLE	New York Yankees	—	366	327	71	20	0	10	30	70	5	8	3	217	293	370	663	153	247	19	8	298	88	-5	+0	-2	-4	+8	-0.3
2014	30	AAA MLE	Scranton/Wilkes-Barre RailRiders	—	30	29	10	2	0	2	1	10	0	1	0	345	367	621	987	276	428	33	3	436	181	—	—	—	—	—	—
2015	31	MLB MLE	New York Yankees	—	356	320	79	20	1	13	28	73	3	3	1	247	313	438	751	191	283	21	8	330	109	+4	+0	-8	-4	+8	0.0
2016	32	MLB MLE	Boston Red Sox	—	227	203	54	16	0	9	21	50	3	4	2	266	344	478	821	212	326	22	9	363	132	+9	+0	-4	-3	+5	0.7
2016	32	AAA MLE	Pawtucket Red Sox	—	25	23	5	2	0	0	1	9	1	0	0	217	280	304	584	87	277	36	4	212	30	—	—	—	—	—	—
2017	33	MLB MLE	Boston Red Sox	—	276	243	55	11	2	7	30	55	2	3	2	226	316	374	691	148	275	20	11	314	99	-0	-0	-3	-3	+6	-0.1
2018	34	MLB MLE	Los Angeles Angels	—	128	113	19	2	1	6	11	37	2	2	0	168	254	363	617	195	183	29	9	271	70	-5	+0	-1	-1	+3	-0.4
2005	21	AA MLE	Birmingham Barons	—	553	487	116	37	3	22	49	158	7	32	6	238	317	462	779	224	303	29	9	329	109	—	—	—	—	—	—
2005	21	AA RAW	Birmingham Barons	—	553	466	129	41	3	26	70	129	7	32	6	277	379	545	924	268	328	23	13	396	109	—	—	—	—	—	—
2006	22	AAA MLE	2 teams	—	544	487	111	30	3	19	43	104	7	19	6	228	300	419	719	191	249	19	8	314	99	—	—	—	—	—	—
2006	22	AAA RAW	2 teams	—	544	472	128	36	4	23	58	83	7	19	6	271	359	511	870	239	282	15	11	377	99	—	—	—	—	—	—
2007	23	MLB MLE	Arizona Diamondbacks	—	624	570	135	29	3	32	42	141	6	27	6	237	296	467	763	230	256	23	7	331	110	+8	+3	-6	+2	+14	2.1
2007	23	MLB RAW	Arizona Diamondbacks	—	624	569	135	29	3	32	43	141	6	27	6	237	298	467	765	230	257	23	7	332	110	+8	+3	-6	+2	+14	2.1
2008	24	MLB MLE	Arizona Diamondbacks	—	699	627	155	42	7	22	60	165	1	14	5	247	314	442	756	195	299	24	9	329	108	+7	+1	+3	+2	+15	2.9
2008	24	MLB RAW	Arizona Diamondbacks	—	699	625	155	42	7	22	62	165	1	14	5	248	317	443	760	195	300	24	9	331	108	+7	+1	+3	+2	+15	2.9
2009	25	MLB MLE	2 teams	—	564	492	109	32	5	17	63	150	4	13	6	222	315	411	725	189	281	27	11	321	103	+2	+0	-4	+2	+12	1.3
2009	25	MLB RAW	2 teams	—	564	487	112	33	5	18	68	146	4	13	6	230	329	429	758	199	289	26	12	335	103	+2	+0	-4	+2	+12	1.3
2010	26	MLB MLE	Arizona Diamondbacks	—	664	584	147	30	0	27	74	145	2	28	7	252	338	442	780	190	289	22	11	344	119	+15	+3	+6	+2	+14	4.2
2010	26	MLB RAW	Arizona Diamondbacks	—	664	584	150	33	0	27	74	145	2	28	7	257	342	452	794	195	296	22	11	351	119	+15	+3	+6	+2	+14	4.2
2011	27	MLB MLE	Arizona Diamondbacks	—	659	571	130	35	2	20	76	139	4	22	9	228	323	401	724	173	263	21	12	321	103	+2	+1	+18	+2	+14	3.9
2011	27	MLB RAW	Arizona Diamondbacks	—	659	567	134	38	3	20	80	139	4	22	9	236	335	420	755	183	275	21	12	334	103	+2	+1	+18	+2	+14	3.9
2012	28	MLB MLE	Arizona Diamondbacks	—	363	325	73	22	0	14	36	79	2	8	3	225	306	422	727	197	254	22	10	322	104	+2	+0	+5	+1	+8	1.7
2012	28	MLB RAW	Arizona Diamondbacks	—	363	325	75	24	0	14	36	79	2	8	3	231	311	434	745	203	263	22	10	331	104	+2	+0	+5	+1	+8	1.7
2013	29	MLB MLE	Oakland Athletics	—	375	338	67	17	3	13	33	93	2	10	3	198	273	382	655	183	231	25	9	294	85	-7	+1	-2	+1	+8	0.2
2013	29	MLB RAW	Oakland Athletics	—	375	335	67	18	3	12	36	93	2	10	3	200	282	379	661	179	237	25	10	294	85	-7	+1	-2	+1	+8	0.2
2014	30	MLB MLE	2 teams	—	396	356	82	22	0	13	31	80	5	9	3	230	301	402	703	171	259	20	8	309	95	-2	+1	-2	-4	+9	0.1
2014	30	MLB RAW	2 teams	—	396	352	83	22	0	14	35	78	5	9	3	236	314	418	731	182	262	20	9	323	95	-2	+1	-2	-4	+9	0.1
2015	31	MLB MLE	New York Yankees	—	356	320	79	20	1	13	28	73	3	3	1	247	313	438	751	191	280	21	8	330	109	+4	+0	-8	-4	+8	0.0
2015	31	MLB RAW	New York Yankees	—	356	318	80	20	1	14	30	73	3	3	1	252	322	453	775	201	283	21	8	338	109	+4	+0	-8	-4	+8	0.0
2016	32	MLB MLE	2 teams	—	252	226	58	18	0	9	22	59	4	4	2	257	333	456	789	199	310	23	9	348	122	+7	+0	-4	-3	+5	0.6
2016	32	MLB RAW	2 teams	—	252	226	61	20	0	9	22	57	4	4	2	270	345	478	823	208	325	23	9	364	122	+7	+0	-4	-3	+5	0.6
2017	33	MLB MLE	Boston Red Sox	—	276	243	55	11	2	7	30	55	2	3	2	226	316	374	691	148	264	20	11	314	99	-0	-0	-3	-3	+6	-0.1
2017	33	MLB RAW	Boston Red Sox	—	276	243	57	12	2	7	30	55	2	3	2	235	324	387	710	152	275	20	11	320	99	-0	-0	-3	-3	+6	-0.1
2018	34	MLB MLE	Los Angeles Angels	—	128	113	19	2	1	6	11	37	2	2	0	168	254	363	617	195	183	29	9	271	70	-5	+0	-1	-1	+3	-0.4
2018	34	MLB RAW	Los Angeles Angels	—	128	113	19	2	1	6	11	37	2	2	0	168	254	363	617	195	183	29	9	272	70	-5	+0	-1	-1	+3	-0.4
2005	21	AA MLE	Birmingham Barons	—	553	492	116	37	3	22	49	158	7	32	6	236	317	457	774	222	293	29	9	329	109	—	—	—	—	—	—
2006	22	AAA MLE	2 teams	—	544	489	111	30	3	19	43	104	7	19	6	227	300	417	717	190	246	19	8	314	99	—	—	—	—	—	—
2007	23	MLB MLE	Arizona Diamondbacks	—	624	571	135	29	3	32	42	141	6	27	6	236	296	466	762	229	257	23	7	331	110	—	—	—	—	—	—
2008	24	MLB MLE	Arizona Diamondbacks	—	699	633	155	42	7	22	60	165	1	14	5	245	314	438	752	193	300	24	9	329	108	—	—	—	—	—	—
2009	25	MLB MLE	2 teams	—	564	492	109	32	5	17	63	150	4	13	6	222	315	411	725	189	282	27	11	321	103	—	—	—	—	—	—
2010	26	MLB MLE	Arizona Diamondbacks	—	664	583	147	30	0	27	74	145	2	28	7	252	338	443	780	190	296	22	11	344	119	—	—	—	—	—	—
2011	27	MLB MLE	Arizona Diamondbacks	—	659	574	130	35	2	20	76	139	4	22	9	226	323	399	722	172	275	21	12	321	103	—	—	—	—	—	—
2012	28	MLB MLE	Arizona Diamondbacks	—	363	322	73	22	0	14	36	79	2	8	3	227	306	425	731	199	263	22	10	322	104	—	—	—	—	—	—
2013	29	MLB MLE	Oakland Athletics	—	375	337	67	17	3	13	33	93	2	10	3	199	273	383	656	184	237	25	9	294	85	—	—	—	—	—	—
2014	30	MLB MLE	2 teams	—	396	357	82	22	0	13	31	80	5	9	3	230	301	401	702	171	261	20	8	309	95	—	—	—	—	—	—
2015	31	MLB MLE	New York Yankees	—	356	322	79	20	1	13	28	73	3	3	1	245	313	435	748	189	283	21	8	330	109	—	—	—	—	—	—
2016	32	MLB MLE	2 teams	—	252	224	58	18	0	9	22	59	4	4	2	259	333	460	793	201	321	23	9	348	122	—	—	—	—	—	—
2017	33	MLB MLE	Boston Red Sox	—	276	242	55	11	2	7	30	55	2	3	2	227	316	376	692	149	275	20	11	314	99	—	—	—	—	—	—
2018	34	MLB MLE	Los Angeles Angels	—	128	114	19	2	1	6	11	37	2	2	0	167	254	360	614	193	183	29	9	271	70	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	5316	4710	1109	288	24	191	520	1192	37	142	46	235	316	428	745	193	273	22	10	328	105	+52	+10	+6	+1	+115	18.8
/ 162G	—	A+C		—	650	576	135	35	3	23	64	146	5	17	6	234	317	425	742	191	273	22	10	328	105	+6	+1	+1	+0	+14	2.3
Career	—	MLE		—	6453	5739	1336	347	30	234	598	1478	51	194	59	233	311	426	737	193	271	23	9	323	105	+52	+10	+6	+1	+115	18.8
/ 162G	—	MLE		—	650	578	135	35	3	24	60	149	5	20	6	234	311	429	740	196	271	23	9	323	105	+6	+1	+1	+0	+14	2.3

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.

2016 AAAPawtucket Red Sox · 25 PAwOBA .262 → .212 (−50)K% 28.0% → 34.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	28.00%	÷0.979	×1.200	—	—	34.31%
BB% (unintentional) /PA	4.00%	÷1.007	×0.690	—	×0.942	2.58%
HBP% /PA	4.00%	—	×0.940	—	×0.942	3.54%
Singles /BIP	18.75%	÷0.957	×0.930	—	×0.942	17.16%
Doubles /BIP	12.50%	÷0.923	×0.830	—	×0.942	10.59%
Triples /BIP	0.00%	÷0.912	×0.970	—	×0.942	0.00%
Home runs /BIP	0.00%	÷0.994	×0.840	—	×0.942	0.00%

Factors used: league row IL. Park (home-season share, regressed): HR 99, 1B 91, 2B 85, 3B 82, K 96, BB 101 — 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 .262 → .212; ISO .087 → .069; BABIP .312 → .277. 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 AAAScranton/Wilkes-Barre RailRiders · 30 PAwOBA .517 → .436 (−81)K% 26.7% → 33.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	26.67%	÷0.970	×1.200	—	—	32.99%
BB% (unintentional) /PA	3.33%	÷0.985	×0.690	—	×0.962	2.25%
HBP% /PA	0.00%	—	×0.940	—	×0.962	0.00%
Singles /BIP	31.58%	÷0.984	×0.930	—	×0.962	28.71%
Doubles /BIP	10.53%	÷0.936	×0.830	—	×0.962	8.98%
Triples /BIP	0.00%	÷0.954	×0.970	—	×0.962	0.00%
Home runs /BIP	15.79%	÷1.067	×0.840	—	×0.962	11.96%

Factors used: league row IL. Park (home-season share, regressed): HR 113, 1B 97, 2B 87, 3B 91, K 94, BB 97 — 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 .517 → .436; ISO .407 → .323; BABIP .500 → .428. 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).

2009 AAAReno Aces · 63 PAwOBA .471 → .380 (−91)K% 20.6% → 26.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.63%	÷1.000	×1.290	—	—	26.62%
BB% (unintentional) /PA	14.29%	÷1.000	×0.710	—	×1.018	10.33%
HBP% /PA	0.00%	—	×0.980	—	×1.018	0.00%
Singles /BIP	26.83%	÷1.000	×0.900	—	×1.018	24.58%
Doubles /BIP	12.20%	÷1.000	×0.810	—	×1.018	10.06%
Triples /BIP	2.44%	÷1.000	×0.810	—	×1.018	2.01%
Home runs /BIP	7.32%	÷1.000	×0.780	—	×1.018	5.81%

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).

Result: wOBA .471 → .380; ISO .296 → .232; BABIP .447 → .389. 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 AAATucson Sidewinders · 466 PAwOBA .380 → .315 (−65)K% 15.2% → 19.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.24%	÷1.000	×1.290	—	—	19.65%
BB% (unintentional) /PA	10.73%	÷1.000	×0.710	—	×1.050	8.00%
HBP% /PA	1.29%	—	×0.980	—	×1.050	1.32%
Singles /BIP	16.31%	÷1.000	×0.900	×0.950	×1.050	14.65%
Doubles /BIP	9.67%	÷1.000	×0.810	×0.950	×1.050	7.81%
Triples /BIP	1.21%	÷1.000	×0.810	×0.950	×1.050	0.98%
Home runs /BIP	6.34%	÷1.000	×0.780	—	×1.050	5.20%

Factors used: league row PCL. 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 27.2 → +5.0% on BB/HBP/hit rates (4.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .380 → .315; ISO .256 → .209; BABIP .286 → .243. 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 AABirmingham Barons · 553 PAwOBA .387 → .329 (−58)K% 23.3% → 28.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.33%	÷1.000	×1.220	—	—	28.46%
BB% (unintentional) /PA	12.48%	÷1.000	×0.680	—	×1.042	8.84%
HBP% /PA	1.27%	—	×0.840	—	×1.042	1.11%
Singles /BIP	17.51%	÷1.000	×0.920	×0.950	×1.042	15.94%
Doubles /BIP	12.17%	÷1.000	×0.910	×0.950	×1.042	10.96%
Triples /BIP	0.89%	÷1.000	×0.880	×0.950	×1.042	0.78%
Home runs /BIP	7.72%	÷1.000	×0.800	—	×1.042	6.43%

Factors used: league row SL. 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 24.8 → +4.2% on BB/HBP/hit rates (2.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .387 → .329; ISO .268 → .232; BABIP .328 → .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).