Corey Brown

PosLF

B/TL/L

Born1985-11-26

Age (2027)41

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	29	AAA/INTL2 orgs	534	.242/.320/.433	21	16	65	—	.193/.241/.346
2016	30	AAA/INTL2 orgs	613	.263/.351/.505	29	14	78	—	.167/.212/.326
2017	31	AAA/INTL2 orgs	695	.272/.379/.514	32	21	106	—	.234/.311/.433

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	22	A+	Stockton Ports	—	214	196	51	9	0	16	17	72	1	4	1	260	322	551	873	291	324	34	8	378	74	—	—	—	—	—	—
2008	22	A	Kane County Cougars	—	351	300	81	18	2	14	41	96	3	12	0	270	363	483	847	213	345	27	12	367	76	—	—	—	—	—	—
2009	23	AA	Midland RockHounds	—	281	250	67	20	4	9	27	69	4	5	2	268	349	488	837	220	337	25	10	368	85	—	—	—	—	—	—
2010	24	AAA	Sacramento River Cats	—	148	135	26	4	3	5	11	36	0	3	1	193	253	378	631	185	223	24	7	275	36	—	—	—	—	—	—
2010	24	AA	Midland RockHounds	—	386	331	106	14	8	10	52	93	2	19	1	320	416	502	917	181	419	24	13	405	105	—	—	—	—	—	—
2011	25	AAA	Syracuse Chiefs	—	462	396	93	18	3	14	47	134	7	4	7	235	327	402	728	167	317	29	10	319	67	—	—	—	—	—	—
2012	26	MLB	Washington Nationals	—	27	25	5	2	0	1	1	9	0	0	0	200	231	400	631	200	267	33	4	265	64	-1	+0	+1	-6	+1	-0.6
2012	26	AAA	Syracuse Chiefs	—	554	484	138	22	9	25	59	139	4	18	7	285	367	523	890	238	349	25	11	385	109	—	—	—	—	—	—
2013	27	MLB	Washington Nationals	—	15	12	2	1	0	1	3	4	0	1	0	167	333	500	833	333	143	27	20	364	131	+1	+0	+0	-5	+0	-0.4
2013	27	AAA	Syracuse Chiefs	—	438	389	99	26	1	19	40	132	3	12	4	254	329	473	802	219	332	30	9	348	74	—	—	—	—	—	—
2013	27	INTL	Bravos de Margarita	—	36	27	8	3	0	0	8	10	1	0	0	296	472	407	880	111	471	28	22	408	162	—	—	—	—	—	—
2014	28	AAA	Pawtucket Red Sox	—	357	325	75	15	2	17	28	106	2	6	2	231	296	446	742	215	284	30	8	325	43	—	—	—	—	—	—
2014	28	INTL	Leones del Escogido	—	37	31	5	2	0	0	5	14	0	1	0	161	278	226	504	65	278	38	14	237	47	—	—	—	—	—	—
2015	29	AAA	Durham Bulls	—	455	407	99	19	3	19	43	130	2	15	2	243	319	445	763	201	307	29	9	336	59	—	—	—	—	—	—
2015	29	INTL	Tomateros de Culiacan	—	79	69	16	3	0	2	10	18	0	1	2	232	329	362	691	130	286	23	13	316	100	—	—	—	—	—	—
2016	30	AAA	Oklahoma City Dodgers	—	469	426	106	21	7	23	41	155	0	11	6	249	315	493	808	244	333	33	9	351	45	—	—	—	—	—	—
2016	30	INTL	Venados de Mazatlan	—	144	111	35	6	1	6	30	31	2	3	1	315	469	550	1.018	234	387	22	21	445	187	—	—	—	—	—	—
2017	31	AAA	Toros de Tijuana	—	462	381	111	23	4	24	73	124	3	19	2	291	409	562	971	270	367	27	16	419	104	—	—	—	—	—	—
2017	31	INTL	Venados de Mazatlan	—	233	207	49	13	1	8	25	81	0	2	0	237	319	425	744	188	345	35	11	330	109	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	42	37	7	3	0	2	4	13	0	1	0	189	268	432	701	243	227	31	10	300	89	-1	+0	+1	-11	+1	-1.0
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2008	22	A+ MLE	Stockton Ports	—	214	201	38	6	0	12	12	97	1	4	1	189	238	398	636	209	287	45	6	277	74	—	—	—	—	—	—
2008	22	A MLE	Kane County Cougars	—	351	314	67	14	2	10	27	131	3	12	0	213	282	366	648	153	305	37	8	281	76	—	—	—	—	—	—
2009	23	AA MLE	Midland RockHounds	—	281	258	57	16	4	7	19	84	4	5	2	221	285	395	680	174	301	30	7	294	85	—	—	—	—	—	—
2010	24	AAA MLE	Sacramento River Cats	—	148	139	24	4	3	4	7	45	0	3	1	173	212	331	543	158	204	30	5	222	36	—	—	—	—	—	—
2010	24	AA MLE	Midland RockHounds	—	386	349	91	10	6	10	34	120	2	19	1	261	330	410	740	149	370	31	9	324	105	—	—	—	—	—	—
2011	25	AAA MLE	Syracuse Chiefs	—	462	411	84	15	3	13	32	163	7	4	7	204	273	350	624	146	286	35	7	267	67	—	—	—	—	—	—
2012	26	MLB MLE	Washington Nationals	—	27	25	5	2	0	1	1	9	0	0	0	200	231	400	631	200	267	33	4	264	64	-1	+0	+1	-6	+1	-0.6
2012	26	AAA MLE	Syracuse Chiefs	—	554	505	128	19	9	22	38	173	4	18	7	253	311	457	768	204	329	31	7	329	109	—	—	—	—	—	—
2013	27	MLB MLE	Washington Nationals	—	15	12	2	1	0	1	3	4	0	1	0	167	333	500	833	333	143	27	20	362	131	+1	+0	+0	-5	+0	-0.4
2013	27	AAA MLE	Syracuse Chiefs	—	438	403	83	20	1	17	26	162	3	12	4	206	259	387	646	181	285	37	6	278	74	—	—	—	—	—	—
2014	28	AAA MLE	Pawtucket Red Sox	—	357	337	60	12	2	11	16	130	2	6	2	178	220	323	543	145	241	36	4	232	43	—	—	—	—	—	—
2015	29	AAA MLE	Durham Bulls	—	455	425	82	14	3	15	25	152	2	15	2	193	241	346	587	153	255	33	5	255	59	—	—	—	—	—	—
2016	30	AAA MLE	Oklahoma City Dodgers	—	469	442	74	14	4	16	25	205	0	11	6	167	212	326	538	158	264	44	5	235	45	—	—	—	—	—	—
2017	31	AAA MLE	Toros de Tijuana	—	462	411	96	19	3	19	43	149	3	19	2	234	311	433	744	200	304	32	9	322	104	—	—	—	—	—	—
2008	22	A MLE	2 teams	—	565	515	106	20	2	23	39	227	4	16	1	206	267	386	653	181	309	40	7	279	75	—	—	—	—	—	—
2008	22	A RAW	2 teams	—	565	496	132	27	2	30	58	168	4	16	1	266	348	510	858	244	338	30	10	371	75	—	—	—	—	—	—
2009	23	AA MLE	Midland RockHounds	—	281	258	57	16	4	7	19	84	4	5	2	221	285	395	680	174	299	30	7	294	85	—	—	—	—	—	—
2009	23	AA RAW	Midland RockHounds	—	281	250	67	20	4	9	27	69	4	5	2	268	349	488	837	220	337	25	10	368	85	—	—	—	—	—	—
2010	24	AA MLE	2 teams	—	534	488	115	14	9	14	41	165	2	22	2	236	298	387	685	152	326	31	8	296	86	—	—	—	—	—	—
2010	24	AA RAW	2 teams	—	534	466	132	18	11	15	63	129	2	22	2	283	371	466	837	182	362	24	12	369	86	—	—	—	—	—	—
2011	25	AAA MLE	Syracuse Chiefs	—	462	411	84	15	3	13	32	163	7	4	7	204	273	350	624	146	301	35	7	267	67	—	—	—	—	—	—
2011	25	AAA RAW	Syracuse Chiefs	—	462	396	93	18	3	14	47	134	7	4	7	235	327	402	728	167	317	29	10	319	67	—	—	—	—	—	—
2012	26	AAA MLE	2 teams	—	581	530	132	20	9	23	39	182	4	18	7	249	305	451	756	202	331	31	7	326	107	—	—	—	—	—	—
2012	26	AAA RAW	2 teams	—	581	509	143	24	9	26	60	148	4	18	7	281	361	517	878	236	345	25	10	379	107	—	—	—	—	—	—
2013	27	AAA MLE	3 teams	—	489	447	92	23	1	19	32	179	4	13	4	206	265	389	654	183	290	37	7	281	76	—	—	—	—	—	—
2013	27	AAA RAW	3 teams	—	489	428	109	30	1	20	51	146	4	13	4	255	340	470	809	215	336	30	10	353	76	—	—	—	—	—	—
2014	28	AAA MLE	2 teams	—	394	371	65	13	2	12	18	143	2	7	2	175	217	318	535	143	242	36	5	232	43	—	—	—	—	—	—
2014	28	AAA RAW	2 teams	—	394	356	80	17	2	17	33	120	2	7	2	225	294	427	721	202	284	30	8	317	43	—	—	—	—	—	—
2015	29	AAA MLE	2 teams	—	534	500	97	17	4	17	29	178	2	16	4	194	241	346	587	152	260	33	5	255	59	—	—	—	—	—	—
2015	29	AAA RAW	2 teams	—	534	476	115	22	3	21	53	148	2	16	4	242	320	433	753	191	303	28	10	333	59	—	—	—	—	—	—
2016	30	AAA MLE	2 teams	—	613	575	99	19	6	21	33	268	2	14	7	172	220	336	555	163	271	44	5	235	45	—	—	—	—	—	—
2016	30	AAA RAW	2 teams	—	613	537	141	27	8	29	71	186	2	14	7	263	351	505	855	242	346	30	12	373	45	—	—	—	—	—	—
2017	31	AAA MLE	2 teams	—	695	622	144	28	5	28	64	224	3	21	2	232	306	428	734	196	309	32	9	322	104	—	—	—	—	—	—
2017	31	AAA RAW	2 teams	—	695	588	160	36	5	32	98	205	3	21	2	272	379	514	892	241	360	29	14	389	104	—	—	—	—	—	—
2008	22	A MLE	2 teams	—	565	517	106	20	2	23	39	227	4	16	1	205	267	385	652	180	298	40	7	279	75	—	—	—	—	—	—
2009	23	AA MLE	Midland RockHounds	—	281	256	57	16	4	7	19	84	4	5	2	223	285	398	683	176	301	30	7	294	85	—	—	—	—	—	—
2010	24	AA MLE	2 teams	—	534	486	115	14	9	14	41	165	2	22	2	237	298	389	686	152	324	31	8	296	86	—	—	—	—	—	—
2011	25	AAA MLE	Syracuse Chiefs	—	462	420	84	15	3	13	32	163	7	4	7	200	273	343	616	143	286	35	7	267	67	—	—	—	—	—	—
2012	26	AAA MLE	2 teams	—	581	533	132	20	9	23	39	182	4	18	7	248	305	448	754	201	326	31	7	326	107	—	—	—	—	—	—
2013	27	AAA MLE	3 teams	—	489	450	92	23	1	19	32	179	4	13	4	204	265	387	652	182	280	37	7	281	76	—	—	—	—	—	—
2014	28	AAA MLE	2 teams	—	394	371	65	13	2	12	18	143	2	7	2	175	217	318	535	143	241	36	5	232	43	—	—	—	—	—	—
2015	29	AAA MLE	2 teams	—	534	498	97	17	4	17	29	178	2	16	4	195	241	347	588	153	255	33	5	255	59	—	—	—	—	—	—
2016	30	AAA MLE	2 teams	—	613	573	99	19	6	21	33	268	2	14	7	173	220	337	556	164	264	44	5	235	45	—	—	—	—	—	—
2017	31	AAA MLE	2 teams	—	695	623	144	28	5	28	64	224	3	21	2	231	306	427	733	196	304	32	9	322	104	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	42	37	7	3	0	2	4	13	0	1	0	189	268	432	701	243	227	31	10	300	76	-1	+0	+1	-11	+1	-1.0
/ 162G	—	A+C		—	650	573	108	46	0	31	62	201	0	15	0	188	268	431	699	243	226	31	10	300	76	-8	+3	+13	-177	+14	-15.8
Career	—	MLE		—	5148	4717	991	185	45	177	346	1813	34	136	38	210	269	381	650	171	296	35	7	280	76	-1	+0	+1	-11	+1	-1.0
/ 162G	—	MLE		—	650	596	125	23	6	22	44	229	4	17	5	210	269	379	648	169	296	35	7	280	76	-8	+3	+13	-177	+14	-15.8

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 AAAToros de Tijuana · 462 PAwOBA .408 → .322 (−86)K% 26.8% → 32.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	26.84%	÷0.999	×1.200	—	—	32.24%
BB% (unintentional) /PA	14.50%	÷1.033	×0.690	—	×0.952	9.22%
HBP% /PA	0.65%	—	×0.940	—	×0.952	0.58%
Singles /BIP	23.35%	÷0.988	×0.930	×0.986	×0.952	20.62%
Doubles /BIP	8.95%	÷1.007	×0.830	×0.986	×0.952	6.92%
Triples /BIP	1.56%	÷1.150	×0.920	×0.986	×0.952	1.17%
Home runs /BIP	9.34%	÷0.892	×0.700	—	×0.952	6.98%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 78, 1B 98, 2B 101, 3B 130, K 100, BB 107 — applied at half strength. Age: age 32 vs a level average of 27.2 → −4.8% on BB/HBP/hit rates (4.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.986.

Result: wOBA .408 → .322; ISO .270 → .212; BABIP .367 → .304. 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 AAAOklahoma City Dodgers · 469 PAwOBA .340 → .235 (−105)K% 33.0% → 43.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	33.05%	÷0.972	×1.290	—	—	43.84%
BB% (unintentional) /PA	8.32%	÷1.059	×0.710	—	×0.962	5.37%
HBP% /PA	0.00%	—	×0.980	—	×0.962	0.00%
Singles /BIP	20.30%	÷1.017	×0.900	×0.977	×0.962	16.88%
Doubles /BIP	7.75%	÷0.975	×0.810	×0.977	×0.962	6.05%
Triples /BIP	2.58%	÷1.104	×0.810	×0.977	×0.962	1.78%
Home runs /BIP	8.49%	÷0.947	×0.780	—	×0.962	6.73%

Factors used: league row PCL. Park (home-season share, regressed): HR 89, 1B 103, 2B 95, 3B 121, K 94, BB 112 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.977.

Result: wOBA .340 → .235; ISO .244 → .167; BABIP .333 → .264. 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 AAADurham Bulls · 455 PAwOBA .328 → .255 (−73)K% 28.6% → 33.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	28.57%	÷1.025	×1.200	—	—	33.45%
BB% (unintentional) /PA	9.23%	÷1.148	×0.690	—	×0.972	5.39%
HBP% /PA	0.44%	—	×0.940	—	×0.972	0.40%
Singles /BIP	20.94%	÷1.025	×0.930	×0.983	×0.972	18.16%
Doubles /BIP	6.86%	÷1.062	×0.830	×0.983	×0.972	5.12%
Triples /BIP	1.08%	÷0.900	×0.970	×0.983	×0.972	1.12%
Home runs /BIP	6.86%	÷1.039	×0.840	—	×0.972	5.39%

Factors used: league row IL. Park (home-season share, regressed): HR 108, 1B 105, 2B 112, 3B 80, K 105, BB 130 — 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 ×0.983.

Result: wOBA .328 → .255; ISO .201 → .160; BABIP .307 → .255. 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 AAAPawtucket Red Sox · 357 PAwOBA .315 → .232 (−83)K% 29.7% → 36.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	29.69%	÷0.980	×1.200	—	—	36.34%
BB% (unintentional) /PA	7.28%	÷1.084	×0.690	—	×0.982	4.55%
HBP% /PA	0.56%	—	×0.940	—	×0.982	0.52%
Singles /BIP	18.72%	÷0.976	×0.930	×0.951	×0.982	16.65%
Doubles /BIP	6.85%	÷0.937	×0.830	×0.951	×0.982	5.66%
Triples /BIP	0.91%	÷1.104	×0.970	×0.951	×0.982	0.75%
Home runs /BIP	7.76%	÷1.240	×0.840	—	×0.982	5.16%

Factors used: league row IL. Park (home-season share, regressed): HR 148, 1B 95, 2B 87, 3B 121, K 96, BB 117 — 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 ×0.951.

Result: wOBA .315 → .232; ISO .215 → .146; BABIP .284 → .241. 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 AAASyracuse Chiefs · 438 PAwOBA .339 → .278 (−61)K% 30.1% → 37.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	30.14%	÷0.979	×1.200	—	—	36.96%
BB% (unintentional) /PA	8.45%	÷0.966	×0.690	—	×0.992	5.99%
HBP% /PA	0.68%	—	×0.940	—	×0.992	0.64%
Singles /BIP	20.62%	÷0.991	×0.930	×0.959	×0.992	18.40%
Doubles /BIP	10.12%	÷0.979	×0.830	×0.959	×0.992	8.16%
Triples /BIP	0.39%	÷1.055	×0.970	×0.959	×0.992	0.34%
Home runs /BIP	7.39%	÷0.914	×0.840	—	×0.992	6.74%

Factors used: league row IL. Park (home-season share, regressed): HR 83, 1B 98, 2B 96, 3B 111, K 96, BB 93 — 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 ×0.959.

Result: wOBA .339 → .278; ISO .219 → .185; BABIP .332 → .285. 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 AAASyracuse Chiefs · 554 PAwOBA .374 → .329 (−45)K% 25.1% → 31.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.09%	÷0.964	×1.200	—	—	31.23%
BB% (unintentional) /PA	9.75%	÷0.984	×0.690	—	×1.003	6.86%
HBP% /PA	0.72%	—	×0.940	—	×1.003	0.68%
Singles /BIP	23.77%	÷0.992	×0.930	×1.030	×1.003	23.02%
Doubles /BIP	6.38%	÷1.002	×0.830	×1.030	×1.003	5.46%
Triples /BIP	2.61%	÷1.008	×0.970	×1.030	×1.003	2.59%
Home runs /BIP	7.25%	÷0.925	×0.840	—	×1.003	6.60%

Factors used: league row IL. Park (home-season share, regressed): HR 85, 1B 98, 2B 100, 3B 102, K 93, BB 97 — 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 ×1.030.

Result: wOBA .374 → .329; ISO .238 → .213; BABIP .349 → .329. 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 AAASyracuse Chiefs · 462 PAwOBA .311 → .267 (−44)K% 29.0% → 35.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	29.00%	÷0.986	×1.200	—	—	35.32%
BB% (unintentional) /PA	9.96%	÷1.012	×0.690	—	×1.018	6.91%
HBP% /PA	1.52%	—	×0.940	—	×1.018	1.45%
Singles /BIP	22.14%	÷1.000	×0.930	×0.978	×1.018	20.51%
Doubles /BIP	6.87%	÷1.018	×0.830	×0.978	×1.018	5.58%
Triples /BIP	1.15%	÷0.900	×0.970	×0.978	×1.018	1.23%
Home runs /BIP	5.34%	÷0.921	×0.840	—	×1.018	4.96%

Factors used: league row IL. Park (home-season share, regressed): HR 84, 1B 100, 2B 104, 3B 80, K 97, BB 102 — 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 ×0.978.

Result: wOBA .311 → .267; ISO .167 → .151; BABIP .317 → .286. 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).

2010 AAMidland RockHounds · 386 PAwOBA .395 → .324 (−71)K% 24.1% → 31.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.09%	÷0.945	×1.220	—	—	31.11%
BB% (unintentional) /PA	13.21%	÷1.035	×0.700	—	×0.998	8.92%
HBP% /PA	0.52%	—	×0.870	—	×0.998	0.45%
Singles /BIP	31.09%	÷1.018	×0.920	×1.010	×0.998	28.33%
Doubles /BIP	5.88%	÷1.107	×0.840	×1.010	×0.998	4.50%
Triples /BIP	3.36%	÷1.150	×0.940	×1.010	×0.998	2.77%
Home runs /BIP	4.20%	÷0.798	×0.800	—	×0.998	4.21%

Factors used: league row TL. Park (home-season share, regressed): HR 60, 1B 104, 2B 121, 3B 130, K 89, BB 107 — 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 ×1.010.

Result: wOBA .395 → .324; ISO .181 → .157; BABIP .419 → .370. 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 — .