Stephen Drew

PosSS

B/TL/R

Born1983-03-16

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	MLBNYY	428	.201/.273/.381	17	0	76	0.1
2016	33	MLBWSH	165	.266/.348/.524	8	0	138	1.0
2017	34	MLBWSH	106	.253/.311/.358	1	0	84	0.2
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 1.3

Contract

No contract data on file.

Skills · percentileStatcast 2015-2017

xwOBA32

Avg EV28

Barrel%14

Speed12

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	AA	Tennessee Smokies	—	113	101	22	5	0	4	12	24	0	2	3	218	301	386	687	168	247	21	11	309	55	—	—	—	—	—	—
2005	22	A+	Lancaster JetHawks	—	177	149	58	16	3	10	26	25	2	1	1	389	486	738	1.224	349	421	14	15	520	183	—	—	—	—	—	—
2006	23	MLB	Arizona Diamondbacks	—	226	209	66	13	7	5	14	50	0	2	0	316	359	517	875	201	394	22	6	377	133	+9	+0	-2	+7	+5	1.9
2006	23	AAA	Tucson Sidewinders	—	383	342	97	16	3	13	33	50	0	3	3	284	347	462	809	178	294	13	9	351	86	—	—	—	—	—	—
2007	24	MLB	Arizona Diamondbacks	—	619	543	129	28	4	12	60	100	3	9	0	238	317	370	687	133	267	16	10	304	88	-9	+2	-6	+7	+13	0.8
2008	25	MLB	Arizona Diamondbacks	—	663	611	178	44	11	21	41	109	1	3	3	291	337	502	839	211	322	16	6	361	126	+21	-1	-9	+7	+14	3.3
2009	26	MLB	Arizona Diamondbacks	—	595	533	139	29	12	12	49	87	1	5	1	261	324	428	752	167	288	15	8	327	102	+1	+1	+8	+6	+13	3.0
2010	27	MLB	Arizona Diamondbacks	—	633	565	157	33	12	15	62	108	3	10	5	278	352	458	811	181	321	17	10	357	118	+13	+0	+15	+7	+14	5.0
2011	28	MLB	Arizona Diamondbacks	—	354	321	81	21	5	5	30	74	1	4	4	252	318	396	714	143	313	21	8	317	93	-3	-1	+8	+4	+8	1.6
2012	29	MLB	Oakland Athletics	—	327	287	64	13	1	7	37	76	0	1	2	223	312	348	660	125	275	23	11	298	88	-5	-1	-0	+4	+7	0.5
2012	29	AAA	Reno Aces	—	40	36	9	1	1	2	4	6	0	0	0	250	325	500	825	250	250	15	10	359	69	—	—	—	—	—	—
2013	30	MLB	Boston Red Sox	—	501	442	112	29	8	13	54	124	1	6	0	253	336	443	779	190	320	25	11	343	111	+7	+1	+14	+6	+11	3.9
2013	30	AA	Portland Sea Dogs	—	23	20	4	2	0	1	2	4	0	0	0	200	273	450	723	250	188	17	9	302	54	—	—	—	—	—	—
2014	31	MLB	New York Yankees	—	300	271	44	14	1	7	27	75	0	1	1	162	238	299	537	137	194	25	9	243	44	-20	-0	+4	+3	+6	-0.6
2015	32	MLB	New York Yankees	—	428	383	77	16	1	17	37	71	1	0	2	201	273	381	654	180	201	17	9	287	76	-12	-1	+3	+2	+9	0.1
2016	33	MLB	Washington Nationals	—	165	143	38	11	1	8	16	31	2	0	1	266	348	524	872	259	278	19	10	372	138	+7	-0	-1	+1	+4	1.0
2016	33	A+	Potomac Nationals	—	15	12	3	1	0	0	2	1	1	0	0	250	400	333	733	83	273	7	13	348	70	—	—	—	—	—	—
2017	34	MLB	Washington Nationals	—	106	95	24	7	0	1	8	21	0	0	0	253	311	358	669	105	303	20	8	294	84	-2	+0	+0	+1	+2	0.2
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	4917	4403	1109	258	63	123	435	926	13	41	19	252	321	423	744	171	290	19	9	326	107	+40	+1	+34	+53	+107	24.0
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2005	22	AA MLE	Tennessee Smokies	—	113	105	19	4	0	3	8	29	0	2	3	181	239	305	544	124	224	26	7	249	55	—	—	—	—	—	—
2005	22	A+ MLE	Lancaster JetHawks	—	177	158	53	14	2	9	17	33	2	1	1	335	407	620	1.027	285	378	19	10	439	183	—	—	—	—	—	—
2006	23	MLB MLE	Arizona Diamondbacks	—	226	213	66	13	7	5	10	50	0	2	0	310	341	507	848	197	394	22	4	365	133	+9	+0	-2	+7	+5	1.9
2006	23	AAA MLE	Tucson Sidewinders	—	383	352	86	13	2	11	23	64	0	3	3	244	291	386	677	142	259	17	6	296	86	—	—	—	—	—	—
2007	24	MLB MLE	Arizona Diamondbacks	—	619	548	129	28	4	12	55	100	3	9	0	235	309	367	675	131	267	16	9	299	88	-9	+2	-6	+7	+13	0.8
2008	25	MLB MLE	Arizona Diamondbacks	—	663	617	178	44	11	21	35	109	1	3	3	288	328	498	825	209	322	16	5	355	126	+21	-1	-9	+7	+14	3.3
2009	26	MLB MLE	Arizona Diamondbacks	—	595	540	139	29	12	12	42	87	1	5	1	257	312	422	734	165	288	15	7	318	102	+1	+1	+8	+6	+13	3.0
2010	27	MLB MLE	Arizona Diamondbacks	—	633	567	152	30	10	15	60	108	3	10	5	268	341	436	777	168	321	17	9	342	118	+13	+0	+15	+7	+14	5.0
2011	28	MLB MLE	Arizona Diamondbacks	—	354	321	78	19	4	5	30	74	1	4	4	243	310	374	683	131	313	21	8	305	93	-3	-1	+8	+4	+8	1.6
2012	29	MLB MLE	Oakland Athletics	—	327	289	65	13	1	8	35	76	0	1	2	225	309	360	669	135	275	23	11	298	88	-5	-1	-0	+4	+7	0.5
2012	29	AAA MLE	Reno Aces	—	40	37	7	1	1	1	3	8	0	0	0	189	250	351	601	162	213	20	8	270	69	—	—	—	—	—	—
2013	30	MLB MLE	Boston Red Sox	—	501	445	109	26	9	13	51	124	1	6	0	245	324	431	755	187	320	25	10	333	111	+7	+1	+14	+6	+11	3.9
2013	30	AA MLE	Portland Sea Dogs	—	23	21	4	2	0	1	1	5	0	0	0	190	227	429	656	238	159	22	4	248	54	—	—	—	—	—	—
2014	31	MLB MLE	New York Yankees	—	300	274	44	14	1	7	24	75	0	1	1	161	228	296	524	135	194	25	8	234	44	-20	-0	+4	+3	+6	-0.6
2015	32	MLB MLE	New York Yankees	—	428	384	76	16	1	16	36	71	1	0	2	198	268	370	638	172	201	17	8	281	76	-12	-1	+3	+2	+9	0.1
2016	33	MLB MLE	Washington Nationals	—	165	143	38	11	1	8	16	31	2	0	1	266	348	524	872	259	278	19	10	372	138	+7	-0	-1	+1	+4	1.0
2016	33	A+ MLE	Potomac Nationals	—	15	13	3	1	0	0	1	1	1	0	0	231	333	308	641	77	236	7	7	271	70	—	—	—	—	—	—
2017	34	MLB MLE	Washington Nationals	—	106	95	24	7	0	1	8	21	0	0	0	253	311	358	669	105	303	20	8	292	84	-2	+0	+0	+1	+2	0.2
2005	22	A+ MLE	2 teams	—	290	262	72	18	2	13	26	63	2	3	4	275	345	508	852	233	317	22	9	365	133	—	—	—	—	—	—
2005	22	A+ RAW	2 teams	—	290	250	80	21	3	14	38	49	2	3	4	320	414	596	1.010	276	353	17	13	438	133	—	—	—	—	—	—
2006	23	AAA MLE	2 teams	—	609	565	152	26	9	16	33	114	0	5	3	269	309	432	741	163	307	19	5	322	104	—	—	—	—	—	—
2006	23	AAA RAW	2 teams	—	609	551	163	29	10	18	47	100	0	5	3	296	351	483	834	187	329	16	8	361	104	—	—	—	—	—	—
2007	24	MLB MLE	Arizona Diamondbacks	—	619	548	129	28	4	12	55	100	3	9	0	235	309	367	675	131	264	16	9	299	88	-9	+2	-6	+7	+13	0.8
2007	24	MLB RAW	Arizona Diamondbacks	—	619	543	129	28	4	12	60	100	3	9	0	238	317	370	687	133	267	16	10	304	88	-9	+2	-6	+7	+13	0.8
2008	25	MLB MLE	Arizona Diamondbacks	—	663	617	178	44	11	21	35	109	1	3	3	288	328	498	825	209	318	16	5	355	126	+21	-1	-9	+7	+14	3.3
2008	25	MLB RAW	Arizona Diamondbacks	—	663	611	178	44	11	21	41	109	1	3	3	291	337	502	839	211	322	16	6	361	126	+21	-1	-9	+7	+14	3.3
2009	26	MLB MLE	Arizona Diamondbacks	—	595	540	139	29	12	12	42	87	1	5	1	257	312	422	734	165	283	15	7	318	102	+1	+1	+8	+6	+13	3.0
2009	26	MLB RAW	Arizona Diamondbacks	—	595	533	139	29	12	12	49	87	1	5	1	261	324	428	752	167	288	15	8	327	102	+1	+1	+8	+6	+13	3.0
2010	27	MLB MLE	Arizona Diamondbacks	—	633	567	152	30	10	15	60	108	3	10	5	268	341	436	777	168	308	17	9	342	118	+13	+0	+15	+7	+14	5.0
2010	27	MLB RAW	Arizona Diamondbacks	—	633	565	157	33	12	15	62	108	3	10	5	278	352	458	811	181	321	17	10	357	118	+13	+0	+15	+7	+14	5.0
2011	28	MLB MLE	Arizona Diamondbacks	—	354	321	78	19	4	5	30	74	1	4	4	243	310	374	683	131	300	21	8	305	93	-3	-1	+8	+4	+8	1.6
2011	28	MLB RAW	Arizona Diamondbacks	—	354	321	81	21	5	5	30	74	1	4	4	252	318	396	714	143	313	21	8	317	93	-3	-1	+8	+4	+8	1.6
2012	29	MLB MLE	2 teams	—	367	326	72	13	2	9	38	84	0	1	2	221	302	356	658	135	267	23	10	295	86	-6	-1	-0	+4	+8	0.5
2012	29	MLB RAW	2 teams	—	367	323	73	14	2	9	41	82	0	1	2	226	313	365	679	139	272	22	11	305	86	-6	-1	-0	+4	+8	0.5
2013	30	MLB MLE	2 teams	—	524	466	113	28	9	14	52	129	1	6	0	242	320	431	751	189	302	25	10	329	109	+5	+1	+14	+6	+11	3.8
2013	30	MLB RAW	2 teams	—	524	462	116	31	8	14	56	128	1	6	0	251	333	444	777	193	314	24	11	341	109	+5	+1	+14	+6	+11	3.8
2014	31	MLB MLE	New York Yankees	—	300	274	44	14	1	7	24	75	0	1	1	161	228	296	524	135	191	25	8	234	44	-20	-0	+4	+3	+6	-0.6
2014	31	MLB RAW	New York Yankees	—	300	271	44	14	1	7	27	75	0	1	1	162	238	299	537	137	194	25	9	243	44	-20	-0	+4	+3	+6	-0.6
2015	32	MLB MLE	New York Yankees	—	428	384	76	16	1	16	36	71	1	0	2	198	268	370	638	172	200	17	8	281	76	-12	-1	+3	+2	+9	0.1
2015	32	MLB RAW	New York Yankees	—	428	383	77	16	1	17	37	71	1	0	2	201	273	381	654	180	201	17	9	287	76	-12	-1	+3	+2	+9	0.1
2016	33	MLB MLE	2 teams	—	180	156	41	12	1	8	17	32	3	0	1	263	347	506	853	244	275	18	9	364	132	+7	-0	-1	+1	+4	1.0
2016	33	MLB RAW	2 teams	—	180	155	41	12	1	8	18	32	3	0	1	265	352	510	862	245	277	18	10	370	132	+7	-0	-1	+1	+4	1.0
2017	34	MLB MLE	Washington Nationals	—	106	95	24	7	0	1	8	21	0	0	0	253	311	358	669	105	303	20	8	292	84	-2	+0	+0	+1	+2	0.2
2017	34	MLB RAW	Washington Nationals	—	106	95	24	7	0	1	8	21	0	0	0	253	311	358	669	105	303	20	8	294	84	-2	+0	+0	+1	+2	0.2
2005	22	A+ MLE	2 teams	—	290	260	72	18	2	13	26	63	2	3	4	277	345	512	856	235	318	22	9	365	133	—	—	—	—	—	—
2006	23	AAA MLE	2 teams	—	609	571	152	26	9	16	33	114	0	5	3	266	309	427	737	161	309	19	5	322	104	—	—	—	—	—	—
2007	24	MLB MLE	Arizona Diamondbacks	—	619	556	129	28	4	12	55	100	3	9	0	232	309	362	670	129	267	16	9	299	88	—	—	—	—	—	—
2008	25	MLB MLE	Arizona Diamondbacks	—	663	622	178	44	11	21	35	109	1	3	3	286	328	494	821	207	322	16	5	355	126	—	—	—	—	—	—
2009	26	MLB MLE	Arizona Diamondbacks	—	595	547	139	29	12	12	42	87	1	5	1	254	312	417	729	163	288	15	7	318	102	—	—	—	—	—	—
2010	27	MLB MLE	Arizona Diamondbacks	—	633	565	152	30	10	15	60	108	3	10	5	269	341	437	778	168	321	17	9	342	118	—	—	—	—	—	—
2011	28	MLB MLE	Arizona Diamondbacks	—	354	320	78	19	4	5	30	74	1	4	4	244	310	375	685	131	313	21	8	305	93	—	—	—	—	—	—
2012	29	MLB MLE	2 teams	—	367	326	72	13	2	9	38	84	0	1	2	221	302	356	658	135	269	23	10	295	86	—	—	—	—	—	—
2013	30	MLB MLE	2 teams	—	524	466	113	28	9	14	52	129	1	6	0	242	320	431	751	189	313	25	10	329	109	—	—	—	—	—	—
2014	31	MLB MLE	New York Yankees	—	300	273	44	14	1	7	24	75	0	1	1	161	228	297	525	136	194	25	8	234	44	—	—	—	—	—	—
2015	32	MLB MLE	New York Yankees	—	428	388	76	16	1	16	36	71	1	0	2	196	268	366	634	170	201	17	8	281	76	—	—	—	—	—	—
2016	33	MLB MLE	2 teams	—	180	158	41	12	1	8	17	32	3	0	1	259	347	500	847	241	274	18	9	364	132	—	—	—	—	—	—
2017	34	MLB MLE	Washington Nationals	—	106	97	24	7	0	1	8	21	0	0	0	247	311	351	661	103	303	20	8	292	84	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	4917	4403	1109	258	63	123	435	926	13	41	19	252	321	423	744	171	290	19	9	326	101	+40	+1	+34	+53	+107	24.0
/ 162G	—	A+C		—	650	582	146	34	8	16	58	122	2	5	3	251	321	419	741	168	289	19	9	326	101	+5	+0	+5	+7	+14	3.2
Career	—	MLE		—	5668	5121	1270	284	66	149	456	1067	16	47	26	248	311	417	728	169	283	19	8	318	101	+40	+1	+34	+53	+107	24.0
/ 162G	—	MLE		—	650	587	146	33	8	17	52	122	2	5	3	249	312	419	731	170	284	19	8	318	101	+5	+0	+5	+7	+14	3.2

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 A+Potomac Nationals · 15 PAwOBA .340 → .271 (−69)K% 6.7% → 9.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	6.67%	÷0.974	×1.420	—	—	9.72%
BB% (unintentional) /PA	13.33%	÷1.061	×0.630	—	×0.940	7.44%
HBP% /PA	6.67%	—	×0.860	—	×0.940	5.39%
Singles /BIP	18.18%	÷0.966	×0.940	—	×0.940	16.63%
Doubles /BIP	9.09%	÷1.010	×0.830	—	×0.940	7.02%
Triples /BIP	0.00%	÷0.975	×0.800	—	×0.940	0.00%
Home runs /BIP	0.00%	÷1.025	×0.900	—	×0.940	0.00%

Factors used: league row CAR. Park (home-season share, regressed): HR 105, 1B 93, 2B 102, 3B 95, K 95, BB 112 — applied at half strength. Age: age 33 vs a level average of 22.8 → −6.0% on BB/HBP/hit rates (10.2 yr older than average).

Result: wOBA .340 → .271; ISO .083 → .068; BABIP .273 → .236. 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 AAPortland Sea Dogs · 23 PAwOBA .307 → .248 (−59)K% 17.4% → 21.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.39%	÷0.989	×1.220	—	—	21.45%
BB% (unintentional) /PA	8.70%	÷0.975	×0.700	—	×0.948	5.92%
HBP% /PA	0.00%	—	×0.850	—	×0.948	0.00%
Singles /BIP	6.25%	÷0.980	×0.970	—	×0.948	5.86%
Doubles /BIP	12.50%	÷0.987	×0.860	—	×0.948	10.32%
Triples /BIP	0.00%	÷0.900	×0.950	—	×0.948	0.00%
Home runs /BIP	6.25%	÷1.026	×0.780	—	×0.948	4.51%

Factors used: league row EL. Park (home-season share, regressed): HR 105, 1B 96, 2B 97, 3B 80, K 98, BB 95 — 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).

Result: wOBA .307 → .248; ISO .250 → .199; BABIP .188 → .159. 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).

2012 AAAReno Aces · 40 PAwOBA .350 → .270 (−79)K% 15.0% → 20.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.00%	÷0.956	×1.290	—	—	20.25%
BB% (unintentional) /PA	10.00%	÷1.042	×0.710	—	×0.982	6.69%
HBP% /PA	0.00%	—	×0.980	—	×0.982	0.00%
Singles /BIP	16.67%	÷0.989	×0.900	—	×0.982	14.90%
Doubles /BIP	3.33%	÷1.130	×0.810	—	×0.982	2.35%
Triples /BIP	3.33%	÷0.900	×0.810	—	×0.982	2.95%
Home runs /BIP	6.67%	÷1.021	×0.780	—	×0.982	5.00%

Factors used: league row PCL. Park (home-season share, regressed): HR 104, 1B 98, 2B 126, 3B 80, K 91, BB 108 — 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).

Result: wOBA .350 → .270; ISO .250 → .189; BABIP .250 → .213. 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 · 383 PAwOBA .346 → .296 (−50)K% 13.1% → 16.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.05%	÷1.000	×1.290	—	—	16.84%
BB% (unintentional) /PA	8.09%	÷1.000	×0.710	—	×1.050	6.03%
HBP% /PA	0.00%	—	×0.980	—	×1.050	0.00%
Singles /BIP	22.26%	÷1.000	×0.900	×0.963	×1.050	20.27%
Doubles /BIP	5.48%	÷1.000	×0.810	×0.963	×1.050	4.49%
Triples /BIP	1.03%	÷1.000	×0.810	×0.963	×1.050	0.84%
Home runs /BIP	4.45%	÷1.000	×0.780	—	×1.050	3.65%

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 ×0.963.

Result: wOBA .346 → .296; ISO .178 → .148; BABIP .294 → .259. 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+Lancaster JetHawks · 177 PAwOBA .504 → .439 (−65)K% 14.1% → 18.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.12%	÷1.000	×1.340	—	—	18.93%
BB% (unintentional) /PA	13.56%	÷1.000	×0.710	—	×1.012	9.74%
HBP% /PA	1.13%	—	×0.790	—	×1.012	0.90%
Singles /BIP	23.39%	÷1.000	×0.910	×1.025	×1.012	22.08%
Doubles /BIP	12.90%	÷1.000	×0.820	×1.025	×1.012	10.98%
Triples /BIP	2.42%	÷1.000	×0.760	×1.025	×1.012	1.91%
Home runs /BIP	8.06%	÷1.000	×0.920	—	×1.012	7.51%

Factors used: league row CAL. 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 22.8 → +1.2% on BB/HBP/hit rates (0.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.025.

Result: wOBA .504 → .439; ISO .349 → .312; BABIP .421 → .378. 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 AATennessee Smokies · 113 PAwOBA .301 → .249 (−51)K% 21.2% → 25.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.24%	÷1.000	×1.220	—	—	25.91%
BB% (unintentional) /PA	10.62%	÷1.000	×0.680	—	×1.042	7.52%
HBP% /PA	0.00%	—	×0.840	—	×1.042	0.00%
Singles /BIP	16.88%	÷1.000	×0.920	×0.958	×1.042	15.50%
Doubles /BIP	6.49%	÷1.000	×0.910	×0.958	×1.042	5.90%
Triples /BIP	0.00%	÷1.000	×0.880	×0.958	×1.042	0.00%
Home runs /BIP	5.19%	÷1.000	×0.800	—	×1.042	4.33%

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 ×0.958.

Result: wOBA .301 → .249; ISO .168 → .141; BABIP .247 → .224. 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).