Jemile Weeks

Pos2B

B/TS/R

Born1987-01-26

Age (2027)40

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	28	AAAPawtucket Red…	266	.204/.297/.281	1	7	40	—	.184/.248/.253
2016	29	AAASD	42	.306/.405/.500	0	2	97	—	.237/.310/.368
2016	29	MLBSD	57	.140/.204/.200	0	1	10	-0.3
2017	30	AAACHC	259	.235/.319/.358	2	4	49	—	.197/.260/.299
2018	31	No MLB games played
2019	32	No MLB games played
2020	33	No MLB games played
2021	34	No MLB games played
2022	35	No MLB games played
2023	36	No MLB games played
2024	37	No MLB games played
2025	38	No MLB games played
2026	39	No MLB games played

Last 3 seasons WAR -0.3

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)
2008	21	A	Kane County Cougars	—	90	74	22	3	1	1	13	12	3	6	2	297	422	405	828	108	344	13	14	380	104	—	—	—	—	—	—
2009	22	AA	Midland RockHounds	—	123	105	25	5	0	2	10	16	1	4	0	238	310	343	653	105	256	13	8	281	66	—	—	—	—	—	—
2009	22	A+	Stockton Ports	—	232	201	60	9	2	7	26	40	3	5	1	299	387	468	855	169	342	17	11	378	101	—	—	—	—	—	—
2010	23	AA	Midland RockHounds	—	312	273	73	14	7	3	28	37	3	11	6	267	342	403	745	136	293	12	9	326	78	—	—	—	—	—	—
2010	23	ROK	AZL Athletics	—	44	36	11	2	1	0	7	4	1	5	1	306	432	417	848	111	344	9	16	387	73	—	—	—	—	—	—
2011	24	MLB	Oakland Athletics	—	437	406	123	26	8	2	21	62	4	22	11	303	343	421	765	118	350	14	5	336	112	+6	+0	-3	+2	+9	1.6
2011	24	AAA	Sacramento River Cats	—	217	184	59	6	4	3	29	32	2	10	4	321	419	446	864	125	373	15	13	386	109	—	—	—	—	—	—
2012	25	MLB	Oakland Athletics	—	511	444	98	15	8	2	50	70	5	16	5	221	307	304	611	83	256	14	10	276	73	-16	+1	-5	+2	+11	-0.7
2012	25	AAA	Sacramento River Cats	—	51	45	15	4	0	0	6	8	0	1	0	333	412	422	834	89	405	16	12	378	103	—	—	—	—	—	—
2013	26	AAA	Sacramento River Cats	—	614	520	141	19	10	4	80	99	8	17	2	271	377	369	746	98	328	16	13	339	83	—	—	—	—	—	—
2014	27	MLB	Boston Red Sox	—	45	37	11	3	1	0	4	2	1	2	0	297	381	432	813	135	306	4	9	341	111	+1	+0	+0	+1	+1	0.3
2014	27	AAA	Norfolk Tides	—	257	207	58	12	4	1	37	30	3	8	4	280	397	391	788	111	318	12	14	347	95	—	—	—	—	—	—
2014	27	ROK	GCL Orioles	—	19	16	9	3	1	0	3	3	0	1	0	562	632	875	1.507	312	692	16	16	636	176	—	—	—	—	—	—
2015	28	AAA	Pawtucket Red Sox	—	266	235	48	11	2	1	29	53	2	7	0	204	297	281	578	77	260	20	11	270	40	—	—	—	—	—	—
2016	29	MLB	San Diego Padres	—	57	50	7	1	1	0	3	14	1	1	0	140	204	200	404	60	194	25	5	180	10	-6	+0	+2	+0	+1	-0.3
2016	29	AAA	El Paso Chihuahuas	—	42	36	11	1	3	0	6	3	0	2	0	306	405	500	905	194	333	7	14	396	97	—	—	—	—	—	—
2017	30	AAA	Iowa Cubs	—	259	226	53	18	2	2	28	32	0	4	0	235	319	358	677	124	263	12	11	302	49	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	1050	937	239	45	18	4	78	148	11	41	16	255	320	354	674	99	296	14	7	298	88	-15	+2	-6	+6	+23	1.0
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2008	21	A MLE	Kane County Cougars	—	90	78	22	3	1	1	9	16	3	6	2	282	378	385	762	103	327	18	10	322	104	—	—	—	—	—	—
2009	22	AA MLE	Midland RockHounds	—	123	108	26	5	0	2	7	20	1	4	0	241	293	343	636	102	246	16	6	266	66	—	—	—	—	—	—
2009	22	A+ MLE	Stockton Ports	—	232	208	54	7	2	6	19	54	3	5	1	260	330	399	729	139	315	23	8	317	101	—	—	—	—	—	—
2010	23	AA MLE	Midland RockHounds	—	312	282	67	11	6	3	19	48	3	11	6	238	293	351	644	113	263	15	6	283	78	—	—	—	—	—	—
2010	23	ROK MLE	AZL Athletics	—	44	39	9	1	1	0	4	6	1	5	1	231	318	308	626	77	263	14	9	276	73	—	—	—	—	—	—
2011	24	MLB MLE	Oakland Athletics	—	437	407	122	25	8	2	20	62	4	22	11	300	339	415	754	115	350	14	5	334	112	+6	+0	-3	+2	+9	1.6
2011	24	AAA MLE	Sacramento River Cats	—	217	191	54	5	3	3	22	40	2	10	4	283	363	387	750	105	341	18	10	330	109	—	—	—	—	—	—
2012	25	MLB MLE	Oakland Athletics	—	511	444	98	15	8	2	50	70	5	16	5	221	307	304	611	83	256	14	10	277	73	-16	+1	-5	+2	+11	-0.7
2012	25	AAA MLE	Sacramento River Cats	—	51	47	14	3	0	0	4	10	0	1	0	298	353	362	715	64	381	20	8	321	103	—	—	—	—	—	—
2013	26	AAA MLE	Sacramento River Cats	—	614	544	133	16	9	3	56	126	8	17	2	244	324	324	648	79	309	21	9	291	83	—	—	—	—	—	—
2014	27	MLB MLE	Boston Red Sox	—	45	37	11	3	1	0	4	2	1	2	0	297	381	432	813	135	306	4	9	333	111	+1	+0	+0	+1	+1	0.3
2014	27	AAA MLE	Norfolk Tides	—	257	219	58	12	4	1	25	35	3	8	4	265	348	370	718	105	292	14	10	309	95	—	—	—	—	—	—
2014	27	ROK MLE	GCL Orioles	—	19	17	7	2	1	0	2	4	0	1	0	412	474	647	1.121	235	505	21	11	429	176	—	—	—	—	—	—
2015	28	AAA MLE	Pawtucket Red Sox	—	266	245	45	10	2	1	19	66	2	7	0	184	248	253	501	69	248	25	7	227	40	—	—	—	—	—	—
2016	29	MLB MLE	San Diego Padres	—	57	50	7	1	1	0	3	14	1	1	0	140	204	200	404	60	194	25	5	183	10	-6	+0	+2	+0	+1	-0.3
2016	29	AAA MLE	El Paso Chihuahuas	—	42	38	9	1	2	0	4	4	0	2	0	237	310	368	678	132	277	10	10	311	97	—	—	—	—	—	—
2017	30	AAA MLE	Iowa Cubs	—	259	234	46	14	2	2	20	38	0	4	0	197	260	299	559	103	218	15	8	241	49	—	—	—	—	—	—
2008	21	A MLE	Kane County Cougars	—	90	78	22	3	1	1	9	16	3	6	2	282	378	385	762	103	344	18	10	322	104	—	—	—	—	—	—
2008	21	A RAW	Kane County Cougars	—	90	74	22	3	1	1	13	12	3	6	2	297	422	405	828	108	344	13	14	380	104	—	—	—	—	—	—
2009	22	A+ MLE	2 teams	—	355	316	80	12	2	8	26	73	4	9	1	253	318	380	698	127	301	21	7	299	89	—	—	—	—	—	—
2009	22	A+ RAW	2 teams	—	355	306	85	14	2	9	36	56	4	9	1	278	361	425	786	147	310	16	10	344	89	—	—	—	—	—	—
2010	23	AA MLE	2 teams	—	356	320	77	13	7	3	24	54	4	16	7	241	302	353	655	113	275	15	7	282	77	—	—	—	—	—	—
2010	23	AA RAW	2 teams	—	356	309	84	16	8	3	35	41	4	16	7	272	353	405	758	133	299	12	10	333	77	—	—	—	—	—	—
2011	24	MLB MLE	2 teams	—	654	598	177	31	11	5	42	102	6	32	15	296	348	410	758	114	347	16	6	333	111	+9	+0	-3	+2	+14	2.3
2011	24	MLB RAW	2 teams	—	654	590	182	32	12	5	50	94	6	32	15	308	368	429	797	120	357	14	8	352	111	+9	+0	-3	+2	+14	2.3
2012	25	MLB MLE	2 teams	—	562	491	112	18	8	2	54	80	5	17	5	228	311	310	620	81	267	14	10	281	76	-16	+1	-5	+2	+12	-0.5
2012	25	MLB RAW	2 teams	—	562	489	113	19	8	2	56	78	5	17	5	231	316	315	631	84	269	14	10	285	76	-16	+1	-5	+2	+12	-0.5
2013	26	AAA MLE	Sacramento River Cats	—	614	544	133	16	9	3	56	126	8	17	2	244	324	324	648	79	312	21	9	291	83	—	—	—	—	—	—
2013	26	AAA RAW	Sacramento River Cats	—	614	520	141	19	10	4	80	99	8	17	2	271	377	369	746	98	328	16	13	339	83	—	—	—	—	—	—
2014	27	AAA MLE	3 teams	—	321	273	76	17	6	1	31	42	4	11	4	278	360	396	756	117	321	13	10	319	102	—	—	—	—	—	—
2014	27	AAA RAW	3 teams	—	321	260	78	18	6	1	44	35	4	11	4	300	409	427	836	127	338	11	14	363	102	—	—	—	—	—	—
2015	28	AAA MLE	Pawtucket Red Sox	—	266	245	45	10	2	1	19	66	2	7	0	184	248	253	501	69	247	25	7	227	40	—	—	—	—	—	—
2015	28	AAA RAW	Pawtucket Red Sox	—	266	235	48	11	2	1	29	53	2	7	0	204	297	281	578	77	260	20	11	270	40	—	—	—	—	—	—
2016	29	MLB MLE	2 teams	—	99	88	16	2	3	0	7	18	1	3	0	182	250	273	523	91	229	18	7	237	47	-6	+1	+2	+0	+2	-0.1
2016	29	MLB RAW	2 teams	—	99	86	18	2	4	0	9	17	1	3	0	209	292	326	617	116	261	17	9	272	47	-6	+1	+2	+0	+2	-0.1
2017	30	AAA MLE	Iowa Cubs	—	259	234	46	14	2	2	20	38	0	4	0	197	260	299	559	103	224	15	8	241	49	—	—	—	—	—	—
2017	30	AAA RAW	Iowa Cubs	—	259	226	53	18	2	2	28	32	0	4	0	235	319	358	677	124	263	12	11	302	49	—	—	—	—	—	—
2008	21	A MLE	Kane County Cougars	—	90	78	22	3	1	1	9	16	3	6	2	282	378	385	762	103	327	18	10	322	104	—	—	—	—	—	—
2009	22	A+ MLE	2 teams	—	355	322	80	12	2	8	26	73	4	9	1	248	318	373	691	124	291	21	7	299	89	—	—	—	—	—	—
2010	23	AA MLE	2 teams	—	356	325	77	13	7	3	24	54	4	16	7	237	302	348	649	111	263	15	7	282	77	—	—	—	—	—	—
2011	24	MLB MLE	2 teams	—	654	601	177	31	11	5	42	102	6	32	15	295	348	408	756	113	347	16	6	333	111	—	—	—	—	—	—
2012	25	MLB MLE	2 teams	—	562	498	112	18	8	2	54	80	5	17	5	225	311	305	616	80	267	14	10	281	76	—	—	—	—	—	—
2013	26	AAA MLE	Sacramento River Cats	—	614	545	133	16	9	3	56	126	8	17	2	244	324	323	647	79	309	21	9	291	83	—	—	—	—	—	—
2014	27	AAA MLE	3 teams	—	321	283	76	17	6	1	31	42	4	11	4	269	360	382	742	113	307	13	10	319	102	—	—	—	—	—	—
2015	28	AAA MLE	Pawtucket Red Sox	—	266	243	45	10	2	1	19	66	2	7	0	185	248	255	503	70	248	25	7	227	40	—	—	—	—	—	—
2016	29	MLB MLE	2 teams	—	99	91	16	2	3	0	7	18	1	3	0	176	250	264	514	88	229	18	7	237	47	—	—	—	—	—	—
2017	30	AAA MLE	Iowa Cubs	—	259	237	46	14	2	2	20	38	0	4	0	194	260	295	555	101	218	15	8	241	49	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1050	937	239	45	18	4	78	148	11	41	16	255	320	354	674	99	296	14	7	298	83	-15	+2	-6	+6	+23	1.0
/ 162G	—	A+C		—	650	580	147	28	11	2	48	92	7	25	10	253	318	350	668	97	295	14	7	298	83	-9	+1	-3	+4	+14	0.6
Career	—	MLE		—	3576	3187	784	136	51	26	288	615	37	122	36	246	316	345	661	99	295	17	8	290	83	-15	+2	-6	+6	+23	1.0
/ 162G	—	MLE		—	650	579	143	25	9	5	52	112	7	22	7	247	317	347	664	100	296	17	8	290	83	-9	+1	-3	+4	+14	0.6

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 AAAIowa Cubs · 259 PAwOBA .296 → .241 (−55)K% 12.4% → 14.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.36%	÷1.083	×1.290	—	—	14.72%
BB% (unintentional) /PA	10.81%	÷0.965	×0.710	—	×0.972	7.73%
HBP% /PA	0.00%	—	×0.980	—	×0.972	0.00%
Singles /BIP	15.98%	÷0.991	×0.900	×0.999	×0.972	14.09%
Doubles /BIP	9.28%	÷1.056	×0.810	×0.999	×0.972	6.91%
Triples /BIP	1.03%	÷1.042	×0.810	×0.999	×0.972	0.78%
Home runs /BIP	1.03%	÷0.899	×0.780	—	×0.972	0.87%

Factors used: league row PCL. Park (home-season share, regressed): HR 80, 1B 98, 2B 111, 3B 108, K 117, BB 93 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.999.

Result: wOBA .296 → .241; ISO .124 → .098; BABIP .263 → .218. 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 AAAEl Paso Chihuahuas · 42 PAwOBA .387 → .311 (−76)K% 7.1% → 9.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	7.14%	÷0.951	×1.290	—	—	9.69%
BB% (unintentional) /PA	14.29%	÷1.004	×0.710	—	×0.982	9.92%
HBP% /PA	0.00%	—	×0.980	—	×0.982	0.00%
Singles /BIP	21.21%	÷1.026	×0.900	—	×0.982	18.27%
Doubles /BIP	3.03%	÷0.987	×0.810	—	×0.982	2.44%
Triples /BIP	9.09%	÷1.028	×0.810	—	×0.982	7.04%
Home runs /BIP	0.00%	÷1.160	×0.780	—	×0.982	0.00%

Factors used: league row PCL. Park (home-season share, regressed): HR 132, 1B 105, 2B 97, 3B 106, K 90, BB 101 — 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 .387 → .311; ISO .194 → .155; BABIP .333 → .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).

2015 AAAPawtucket Red Sox · 266 PAwOBA .262 → .227 (−36)K% 19.9% → 25.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.92%	÷0.956	×1.200	—	—	25.02%
BB% (unintentional) /PA	10.53%	÷0.996	×0.690	—	×0.992	7.24%
HBP% /PA	0.75%	—	×0.940	—	×0.992	0.70%
Singles /BIP	18.68%	÷0.989	×0.930	×1.019	×0.992	17.75%
Doubles /BIP	6.04%	÷0.867	×0.830	×1.019	×0.992	5.85%
Triples /BIP	1.10%	÷1.012	×0.970	×1.019	×0.992	1.06%
Home runs /BIP	0.55%	÷1.012	×0.840	—	×0.992	0.45%

Factors used: league row IL. Park (home-season share, regressed): HR 102, 1B 98, 2B 73, 3B 102, K 91, 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 ×1.019.

Result: wOBA .262 → .227; ISO .077 → .071; BABIP .260 → .248. 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 AAANorfolk Tides · 257 PAwOBA .343 → .309 (−33)K% 11.7% → 13.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	11.67%	÷1.025	×1.200	—	—	13.67%
BB% (unintentional) /PA	14.40%	÷1.025	×0.690	—	×1.003	9.73%
HBP% /PA	1.17%	—	×0.940	—	×1.003	1.10%
Singles /BIP	23.16%	÷1.027	×0.930	×1.001	×1.003	21.06%
Doubles /BIP	6.78%	÷0.899	×0.830	×1.001	×1.003	6.28%
Triples /BIP	2.26%	÷1.007	×0.970	×1.001	×1.003	2.19%
Home runs /BIP	0.56%	÷1.223	×0.840	—	×1.003	0.39%

Factors used: league row IL. Park (home-season share, regressed): HR 145, 1B 105, 2B 80, 3B 101, K 105, BB 105 — 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 ×1.001.

Result: wOBA .343 → .309; ISO .111 → .111; BABIP .318 → .292. 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 ROKGCL Orioles · 19 PAwOBA .620 → .429 (−191)K% 15.8% → 22.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.79%	÷1.000	×1.440	—	—	22.74%
BB% (unintentional) /PA	15.79%	÷1.000	×0.620	—	×0.940	9.20%
HBP% /PA	0.00%	—	×0.720	—	×0.940	0.00%
Singles /BIP	38.46%	÷1.000	×0.820	—	×0.940	29.65%
Doubles /BIP	23.08%	÷1.000	×0.720	—	×0.940	15.62%
Triples /BIP	7.69%	÷1.000	×0.720	—	×0.940	5.21%
Home runs /BIP	0.00%	÷1.000	×0.780	—	×0.940	0.00%

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 27 vs a level average of 19.5 → −6.0% on BB/HBP/hit rates (7.5 yr older than average).

Result: wOBA .620 → .429; ISO .312 → .210; BABIP .692 → .505. 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 AAASacramento River Cats · 614 PAwOBA .331 → .291 (−40)K% 16.1% → 20.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.12%	÷1.016	×1.290	—	—	20.46%
BB% (unintentional) /PA	12.87%	÷1.007	×0.710	—	×1.018	9.24%
HBP% /PA	1.30%	—	×0.980	—	×1.018	1.30%
Singles /BIP	25.65%	÷0.981	×0.900	×1.035	×1.018	24.79%
Doubles /BIP	4.51%	÷1.037	×0.810	×1.035	×1.018	3.71%
Triples /BIP	2.38%	÷0.906	×0.810	×1.035	×1.018	2.24%
Home runs /BIP	0.95%	÷0.978	×0.780	—	×1.018	0.77%

Factors used: league row PCL. Park (home-season share, regressed): HR 96, 1B 96, 2B 107, 3B 81, K 103, BB 101 — 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 ×1.035.

Result: wOBA .331 → .291; ISO .098 → .086; BABIP .328 → .309. 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 AAASacramento River Cats · 51 PAwOBA .369 → .321 (−48)K% 15.7% → 19.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.69%	÷1.034	×1.290	—	—	19.58%
BB% (unintentional) /PA	11.76%	÷1.064	×0.710	—	×1.033	8.11%
HBP% /PA	0.00%	—	×0.980	—	×1.033	0.00%
Singles /BIP	29.73%	÷0.940	×0.900	—	×1.033	29.41%
Doubles /BIP	10.81%	÷1.045	×0.810	—	×1.033	8.66%
Triples /BIP	0.00%	÷1.062	×0.810	—	×1.033	0.00%
Home runs /BIP	0.00%	÷0.925	×0.780	—	×1.033	0.00%

Factors used: league row PCL. Park (home-season share, regressed): HR 85, 1B 88, 2B 109, 3B 112, K 107, BB 113 — 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).

Result: wOBA .369 → .321; ISO .089 → .071; BABIP .405 → .381. 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).

2011 AAASacramento River Cats · 217 PAwOBA .378 → .330 (−48)K% 14.7% → 18.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.75%	÷1.021	×1.290	—	—	18.64%
BB% (unintentional) /PA	13.36%	÷0.991	×0.710	—	×1.048	10.03%
HBP% /PA	0.92%	—	×0.980	—	×1.048	0.95%
Singles /BIP	30.26%	÷0.995	×0.900	×0.978	×1.048	28.06%
Doubles /BIP	3.95%	÷0.916	×0.810	×0.978	×1.048	3.58%
Triples /BIP	2.63%	÷1.048	×0.810	×0.978	×1.048	2.08%
Home runs /BIP	1.97%	÷0.936	×0.780	—	×1.048	1.72%

Factors used: league row PCL. Park (home-season share, regressed): HR 87, 1B 99, 2B 83, 3B 110, K 104, BB 98 — applied at half strength. Age: age 24 vs a level average of 27.2 → +4.8% on BB/HBP/hit rates (3.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.978.

Result: wOBA .378 → .330; ISO .125 → .107; BABIP .373 → .341. 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).