Wilson Betemit

Pos3B

B/TS/R

Born1981-11-02

Age (2027)45

No MLB projection yet. Career stats below are historical.

Overview

AAALAST SEASON 2016

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2014	32	AAA/INTL2 orgs	587	.218/.306/.384	21	1	58	—	.174/.231/.307
2015	33	INTLGigantes del …	36	.143/.333/.143	0	0	60	—
2016	34	AAAOlmecas de Ta…	51	.146/.196/.167	0	0	-29	—	.120/.137/.140

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)
2004	22	MLB	Atlanta Braves	—	52	47	8	0	0	0	4	16	0	0	1	170	235	170	406		250	31	8	193	17	-5	-0	-1	+1	+1	-0.5
2005	23	MLB	Atlanta Braves	—	274	246	75	12	4	4	22	55	0	1	3	305	362	435	797	130	376	20	8	348	115	+5	-1	+0	+1	+6	1.1
2006	24	MLB	Los Angeles Dodgers	—	412	373	98	23	0	18	36	102	0	3	1	263	328	469	797	206	314	25	9	349	115	+7	+0	-8	+1	+9	1.0
2007	25	MLB	New York Yankees	—	284	240	55	12	0	14	38	82	1	0	0	229	337	454	791	225	279	29	13	345	120	+7	+0	-5	+1	+6	0.9
2008	26	MLB	New York Yankees	—	198	189	50	13	0	6	6	56	1	0	1	265	291	429	719	164	344	28	3	314	99	-0	-0	-5	-4	+4	-0.5
2008	26	AAA	Scranton/Wilkes-Barre Yankees	—	33	27	9	4	0	1	6	7	0	0	0	333	455	593	1.047	259	421	21	18	455	136	—	—	—	—	—	—
2009	27	MLB	Chicago White Sox	—	50	45	9	5	0	0	5	13	0	0	0	200	280	311	591	111	281	26	10	271	69	-2	+0	-5	-6	+1	-1.2
2009	27	AAA	Charlotte Knights	—	286	261	63	19	0	11	21	73	0	2	0	241	298	441	738	199	287	26	7	321	63	—	—	—	—	—	—
2010	28	MLB	Kansas City Royals	—	315	276	82	20	0	13	36	74	1	0	0	297	380	511	891	214	361	23	11	390	153	+20	+0	-12	+2	+7	1.7
2010	28	AAA	Omaha Royals	—	135	113	30	6	2	2	17	23	1	1	1	265	366	407	773	142	308	17	13	339	70	—	—	—	—	—	—
2010	28	INTL	Gigantes del Cibao	—	113	100	29	9	0	3	11	24	0	1	0	290	360	470	830	180	347	21	10	362	131	—	—	—	—	—	—
2011	29	MLB	Detroit Tigers	—	359	323	92	22	4	8	31	105	0	4	1	285	347	452	799	167	391	29	9	350	119	+8	+0	-7	+1	+8	1.0
2012	30	MLB	Baltimore Orioles	—	376	341	89	19	0	12	31	103	1	0	1	261	324	422	747	161	336	27	8	330	105	+2	-0	-5	+1	+8	0.6
2013	31	AA	Bowie Baysox	—	21	17	6	0	0	0	4	4	0	0	0	353	476	353	829		462	19	19	391	96	—	—	—	—	—	—
2013	31	A+	Frederick Keys	—	17	17	5	0	0	0	0	4	0	0	0	294	294	294	588		385	24	0	266	24	—	—	—	—	—	—
2013	31	ROK	GCL Orioles	—	18	16	6	2	0	0	2	2	0	0	0	375	444	500	944	125	429	11	11	421	81	—	—	—	—	—	—
2013	31	INTL	Gigantes del Cibao	—	97	86	23	2	1	1	11	17	0	0	0	267	351	349	699	81	324	18	11	321	103	—	—	—	—	—	—
2014	32	AAA	Durham Bulls	—	453	396	86	17	0	18	49	144	0	1	0	217	303	396	700	179	281	32	11	308	49	—	—	—	—	—	—
2014	32	INTL	Gigantes del Cibao	—	134	117	26	5	0	3	16	37	0	0	0	222	316	342	658	120	295	28	12	299	89	—	—	—	—	—	—
2015	33	INTL	Gigantes del Cibao	—	36	28	4	0	0	0	7	7	1	0	0	143	333	143	476		190	19	19	257	60	—	—	—	—	—	—
2016	34	AAA	Olmecas de Tabasco	—	51	48	7	1	0	0	3	10	0	0	0	146	196	167	363	21	184	20	6	173	-29	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	2320	2080	558	126	8	75	209	606	4	8	8	268	336	445	781	176	341	26	9	343	118	+50	-2	-48	-1	+50	5.0
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2004	22	MLB MLE	Atlanta Braves	—	52	47	8	0	0	0	4	16	0	0	1	170	235	170	406		250	31	8	193	17	-5	-0	-1	+1	+1	-0.5
2005	23	MLB MLE	Atlanta Braves	—	274	250	75	12	4	4	18	55	0	1	3	300	347	428	775	128	376	20	7	338	115	+5	-1	+0	+1	+6	1.1
2006	24	MLB MLE	Los Angeles Dodgers	—	412	379	98	23	0	18	30	102	0	3	1	259	313	462	775	203	314	25	7	339	115	+7	+0	-8	+1	+9	1.0
2007	25	MLB MLE	New York Yankees	—	284	240	55	12	0	14	38	82	1	0	0	229	337	454	791	225	279	29	13	345	120	+7	+0	-5	+1	+6	0.9
2008	26	MLB MLE	New York Yankees	—	198	189	50	13	0	6	6	56	1	0	1	265	291	429	719	164	344	28	3	314	99	-0	-0	-5	-4	+4	-0.5
2008	26	AAA MLE	Scranton/Wilkes-Barre Yankees	—	33	29	8	3	0	1	4	8	0	0	0	276	364	483	846	207	369	24	12	369	136	—	—	—	—	—	—
2009	27	MLB MLE	Chicago White Sox	—	50	45	9	5	0	0	5	13	0	0	0	200	280	311	591	111	281	26	10	271	69	-2	+0	-5	-6	+1	-1.2
2009	27	AAA MLE	Charlotte Knights	—	286	269	55	16	0	9	13	88	0	2	0	204	241	364	605	160	254	31	5	261	63	—	—	—	—	—	—
2010	28	MLB MLE	Kansas City Royals	—	315	278	83	20	0	14	34	74	1	0	0	299	377	522	899	223	361	23	11	394	153	+20	+0	-12	+2	+7	1.7
2010	28	AAA MLE	Omaha Royals	—	135	119	26	5	1	2	11	31	1	1	1	218	290	328	618	109	259	23	8	271	70	—	—	—	—	—	—
2011	29	MLB MLE	Detroit Tigers	—	359	329	94	23	4	8	25	105	0	4	1	286	336	453	789	167	391	29	7	344	119	+8	+0	-7	+1	+8	1.0
2012	30	MLB MLE	Baltimore Orioles	—	376	341	87	19	0	11	31	103	1	0	1	255	319	408	727	152	336	27	8	324	105	+2	-0	-5	+1	+8	0.6
2013	31	AA MLE	Bowie Baysox	—	21	19	6	0	0	0	2	5	0	0	0	316	381	316	697		408	24	10	310	96	—	—	—	—	—	—
2013	31	A+ MLE	Frederick Keys	—	17	17	4	0	0	0	0	6	0	0	0	235	235	235	471		355	35	0	204	24	—	—	—	—	—	—
2013	31	ROK MLE	GCL Orioles	—	18	17	4	1	0	0	1	3	0	0	0	235	278	294	572	59	317	17	6	288	81	—	—	—	—	—	—
2014	32	AAA MLE	Durham Bulls	—	453	414	72	13	0	14	31	162	0	1	0	174	231	307	538	133	230	36	7	240	49	—	—	—	—	—	—
2016	34	AAA MLE	Olmecas de Tabasco	—	51	50	6	1	0	0	1	12	0	0	0	120	137	140	277	20	154	24	2	125	-29	—	—	—	—	—	—
2004	22	MLB MLE	Atlanta Braves	—	52	47	8	0	0	0	4	16	0	0	1	170	235	170	406		250	31	8	193	17	-5	-0	-1	+1	+1	-0.5
2004	22	MLB RAW	Atlanta Braves	—	52	47	8	0	0	0	4	16	0	0	1	170	235	170	406		250	31	8	193	17	-5	-0	-1	+1	+1	-0.5
2005	23	MLB MLE	Atlanta Braves	—	274	250	75	12	4	4	18	55	0	1	3	300	347	428	775	128	368	20	7	338	115	+5	-1	+0	+1	+6	1.1
2005	23	MLB RAW	Atlanta Braves	—	274	246	75	12	4	4	22	55	0	1	3	305	362	435	797	130	376	20	8	348	115	+5	-1	+0	+1	+6	1.1
2006	24	MLB MLE	Los Angeles Dodgers	—	412	379	98	23	0	18	30	102	0	3	1	259	313	462	775	203	307	25	7	339	115	+7	+0	-8	+1	+9	1.0
2006	24	MLB RAW	Los Angeles Dodgers	—	412	373	98	23	0	18	36	102	0	3	1	263	328	469	797	206	314	25	9	349	115	+7	+0	-8	+1	+9	1.0
2007	25	MLB MLE	New York Yankees	—	284	240	55	12	0	14	38	82	1	0	0	229	337	454	791	225	279	29	13	345	120	+7	+0	-5	+1	+6	0.9
2007	25	MLB RAW	New York Yankees	—	284	240	55	12	0	14	38	82	1	0	0	229	337	454	791	225	279	29	13	345	120	+7	+0	-5	+1	+6	0.9
2008	26	MLB MLE	2 teams	—	231	218	58	16	0	7	10	64	1	0	1	266	301	436	737	170	345	28	4	322	104	+1	-0	-5	-4	+5	-0.3
2008	26	MLB RAW	2 teams	—	231	216	59	17	0	7	12	63	1	0	1	273	314	449	763	176	354	27	5	334	104	+1	-0	-5	-4	+5	-0.3
2009	27	AAA MLE	2 teams	—	336	314	64	21	0	9	18	101	0	2	0	204	247	357	604	153	264	30	5	262	64	—	—	—	—	—	—
2009	27	AAA RAW	2 teams	—	336	306	72	24	0	11	26	86	0	2	0	235	295	422	717	186	286	26	8	313	64	—	—	—	—	—	—
2010	28	MLB MLE	3 teams	—	563	496	137	31	2	20	57	131	2	2	1	276	353	468	821	192	332	23	10	357	128	+19	+0	-12	+2	+12	2.1
2010	28	MLB RAW	3 teams	—	563	489	141	35	2	18	64	121	2	2	1	288	373	479	852	190	345	21	11	372	128	+19	+0	-12	+2	+12	2.1
2011	29	MLB MLE	Detroit Tigers	—	359	329	94	23	4	8	25	105	0	4	1	286	336	453	789	167	389	29	7	344	119	+8	+0	-7	+1	+8	1.0
2011	29	MLB RAW	Detroit Tigers	—	359	323	92	22	4	8	31	105	0	4	1	285	347	452	799	167	391	29	9	350	119	+8	+0	-7	+1	+8	1.0
2012	30	MLB MLE	Baltimore Orioles	—	376	341	87	19	0	11	31	103	1	0	1	255	319	408	727	152	330	27	8	324	105	+2	-0	-5	+1	+8	0.6
2012	30	MLB RAW	Baltimore Orioles	—	376	341	89	19	0	12	31	103	1	0	1	261	324	422	747	161	336	27	8	330	105	+2	-0	-5	+1	+8	0.6
2013	31	INTL MLE	4 teams	—	153	144	39	4	0	0	9	37	0	0	0	271	314	299	612	28	364	24	6	271	69	—	—	—	—	—	—
2013	31	INTL RAW	4 teams	—	153	136	40	4	1	1	17	27	0	0	0	294	373	360	733	66	361	18	11	336	69	—	—	—	—	—	—
2014	32	AAA MLE	2 teams	—	587	537	94	17	0	18	41	210	0	1	0	175	234	307	541	132	239	36	7	240	49	—	—	—	—	—	—
2014	32	AAA RAW	2 teams	—	587	513	112	22	0	21	65	181	0	1	0	218	306	384	690	166	284	31	11	306	49	—	—	—	—	—	—
2015	33	INTL MLE	Gigantes del Cibao	—	36	28	4	0	0	0	7	7	1	0	0	143	333	143	476		190	19	19	—	—	—	—	—	—	—	—
2015	33	INTL RAW	Gigantes del Cibao	—	36	28	4	0	0	0	7	7	1	0	0	143	333	143	476		190	19	19	257	60	—	—	—	—	—	—
2016	34	AAA MLE	Olmecas de Tabasco	—	51	50	6	1	0	0	1	12	0	0	0	120	137	140	277	20	158	24	2	125	-29	—	—	—	—	—	—
2016	34	AAA RAW	Olmecas de Tabasco	—	51	48	7	1	0	0	3	10	0	0	0	146	196	167	363	21	184	20	6	173	-29	—	—	—	—	—	—
2004	22	MLB MLE	Atlanta Braves	—	52	48	8	0	0	0	4	16	0	0	1	167	235	167	402		250	31	8	193	17	—	—	—	—	—	—
2005	23	MLB MLE	Atlanta Braves	—	274	254	75	12	4	4	18	55	0	1	3	295	347	421	768	126	376	20	7	338	115	—	—	—	—	—	—
2006	24	MLB MLE	Los Angeles Dodgers	—	412	379	98	23	0	18	30	102	0	3	1	259	313	462	775	203	314	25	7	339	115	—	—	—	—	—	—
2007	25	MLB MLE	New York Yankees	—	284	243	55	12	0	14	38	82	1	0	0	226	337	449	785	222	279	29	13	345	120	—	—	—	—	—	—
2008	26	MLB MLE	2 teams	—	231	218	58	16	0	7	10	64	1	0	1	266	301	436	737	170	347	28	4	322	104	—	—	—	—	—	—
2009	27	AAA MLE	2 teams	—	336	315	64	21	0	9	18	101	0	2	0	203	247	356	603	152	258	30	5	262	64	—	—	—	—	—	—
2010	28	MLB MLE	3 teams	—	563	499	137	31	2	20	57	131	2	2	1	275	353	465	818	190	331	23	10	357	128	—	—	—	—	—	—
2011	29	MLB MLE	Detroit Tigers	—	359	331	94	23	4	8	25	105	0	4	1	284	336	450	786	166	391	29	7	344	119	—	—	—	—	—	—
2012	30	MLB MLE	Baltimore Orioles	—	376	341	87	19	0	11	31	103	1	0	1	255	319	408	727	152	336	27	8	324	105	—	—	—	—	—	—
2013	31	INTL MLE	4 teams	—	153	143	39	4	0	0	9	37	0	0	0	273	314	301	614	28	363	24	6	271	69	—	—	—	—	—	—
2014	32	AAA MLE	2 teams	—	587	541	94	17	0	18	41	210	0	1	0	174	234	305	539	131	230	36	7	240	49	—	—	—	—	—	—
2016	34	AAA MLE	Olmecas de Tabasco	—	51	50	6	1	0	0	1	12	0	0	0	120	137	140	277	20	154	24	2	125	-29	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2320	2080	558	126	8	75	209	606	4	8	8	268	336	445	781	176	341	26	9	343	93	+50	-2	-48	-1	+50	5.0
/ 162G	—	A+C		—	650	583	156	35	2	21	59	170	1	2	2	268	336	443	778	175	340	26	9	343	93	+14	-0	-13	-0	+14	1.4
Career	—	MLE		—	3714	3373	819	179	10	109	289	1025	6	13	9	243	304	399	702	156	312	28	8	306	93	+50	-2	-48	-1	+50	5.0
/ 162G	—	MLE		—	650	590	143	31	2	19	51	179	1	2	2	242	304	398	702	156	312	28	8	306	93	+14	-0	-13	-0	+14	1.4

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.

2016 AAAOlmecas de Tabasco · 51 PAwOBA .158 → .125 (−33)K% 19.6% → 24.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.61%	÷0.977	×1.200	—	—	24.08%
BB% (unintentional) /PA	3.92%	÷0.933	×0.690	—	×0.940	2.72%
HBP% /PA	0.00%	—	×0.940	—	×0.940	0.00%
Singles /BIP	15.79%	÷1.022	×0.930	×1.006	×0.940	13.59%
Doubles /BIP	2.63%	÷1.142	×0.830	×1.006	×0.940	1.81%
Triples /BIP	0.00%	÷1.000	×0.920	×1.006	×0.940	0.00%
Home runs /BIP	0.00%	÷0.872	×0.700	—	×0.940	0.00%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 74, 1B 104, 2B 128, 3B 100, K 95, BB 87 — applied at half strength. Age: age 35 vs a level average of 27.2 → −6.0% on BB/HBP/hit rates (7.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.006.

Result: wOBA .158 → .125; ISO .021 → .014; BABIP .184 → .154. 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 AAADurham Bulls · 453 PAwOBA .303 → .240 (−63)K% 31.8% → 35.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	31.79%	÷1.070	×1.200	—	—	35.67%
BB% (unintentional) /PA	10.15%	÷0.950	×0.690	—	×0.942	6.95%
HBP% /PA	0.00%	—	×0.940	—	×0.942	0.00%
Singles /BIP	20.24%	÷1.005	×0.930	×0.986	×0.942	17.41%
Doubles /BIP	6.75%	÷1.023	×0.830	×0.986	×0.942	5.09%
Triples /BIP	0.00%	÷0.900	×0.970	×0.986	×0.942	0.00%
Home runs /BIP	7.14%	÷1.046	×0.840	—	×0.942	5.41%

Factors used: league row IL. Park (home-season share, regressed): HR 109, 1B 101, 2B 105, 3B 80, K 114, 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.986.

Result: wOBA .303 → .240; ISO .179 → .140; BABIP .281 → .230. 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 AABowie Baysox · 21 PAwOBA .383 → .310 (−73)K% 19.0% → 23.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.05%	÷0.991	×1.220	—	—	23.44%
BB% (unintentional) /PA	19.05%	÷1.189	×0.700	—	×0.940	10.54%
HBP% /PA	0.00%	—	×0.850	—	×0.940	0.00%
Singles /BIP	46.15%	÷1.032	×0.970	—	×0.940	40.78%
Doubles /BIP	0.00%	÷0.890	×0.860	—	×0.940	0.00%
Triples /BIP	0.00%	÷0.900	×0.950	—	×0.940	0.00%
Home runs /BIP	0.00%	÷1.140	×0.780	—	×0.940	0.00%

Factors used: league row EL. Park (home-season share, regressed): HR 128, 1B 106, 2B 78, 3B 80, K 98, BB 138 — applied at half strength. Age: age 32 vs a level average of 24.8 → −6.0% on BB/HBP/hit rates (7.2 yr older than average).

Result: wOBA .383 → .310; ISO .000 → .000; BABIP .462 → .408. 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 ROKGCL Orioles · 18 PAwOBA .411 → .288 (−122)K% 11.1% → 16.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	11.11%	÷1.000	×1.440	—	—	16.00%
BB% (unintentional) /PA	11.11%	÷1.000	×0.620	—	×0.940	6.48%
HBP% /PA	0.00%	—	×0.720	—	×0.940	0.00%
Singles /BIP	28.57%	÷1.000	×0.820	—	×0.940	22.02%
Doubles /BIP	14.29%	÷1.000	×0.720	—	×0.940	9.67%
Triples /BIP	0.00%	÷1.000	×0.720	—	×0.940	0.00%
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 32 vs a level average of 19.5 → −6.0% on BB/HBP/hit rates (12.5 yr older than average).

Result: wOBA .411 → .288; ISO .125 → .084; BABIP .429 → .317. 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 A+Frederick Keys · 17 PAwOBA .259 → .204 (−55)K% 23.5% → 34.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.53%	÷0.964	×1.420	—	—	34.67%
BB% (unintentional) /PA	0.00%	÷1.028	×0.630	—	×0.940	0.00%
HBP% /PA	0.00%	—	×0.860	—	×0.940	0.00%
Singles /BIP	38.46%	÷0.958	×0.940	—	×0.940	35.49%
Doubles /BIP	0.00%	÷1.050	×0.830	—	×0.940	0.00%
Triples /BIP	0.00%	÷0.918	×0.800	—	×0.940	0.00%
Home runs /BIP	0.00%	÷1.324	×0.900	—	×0.940	0.00%

Factors used: league row CAR. Park (home-season share, regressed): HR 165, 1B 92, 2B 110, 3B 84, K 93, BB 106 — applied at half strength. Age: age 32 vs a level average of 22.8 → −6.0% on BB/HBP/hit rates (9.2 yr older than average).

Result: wOBA .259 → .204; ISO .000 → .000; BABIP .385 → .355. 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 AAAOmaha Royals · 135 PAwOBA .338 → .271 (−67)K% 17.0% → 22.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.04%	÷0.959	×1.290	—	—	22.92%
BB% (unintentional) /PA	12.59%	÷1.034	×0.710	—	×0.982	8.49%
HBP% /PA	0.74%	—	×0.980	—	×0.982	0.71%
Singles /BIP	22.22%	÷1.002	×0.900	×0.978	×0.982	19.18%
Doubles /BIP	6.67%	÷0.932	×0.810	×0.978	×0.982	5.57%
Triples /BIP	2.22%	÷1.150	×0.810	×0.978	×0.982	1.50%
Home runs /BIP	2.22%	÷0.967	×0.780	—	×0.982	1.76%

Factors used: league row PCL. Park (home-season share, regressed): HR 93, 1B 100, 2B 86, 3B 130, K 92, BB 107 — 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 ×0.978.

Result: wOBA .338 → .271; ISO .142 → .112; BABIP .308 → .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).

2009 AAACharlotte Knights · 286 PAwOBA .314 → .261 (−53)K% 25.5% → 30.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.52%	÷1.000	×1.200	—	—	30.63%
BB% (unintentional) /PA	6.64%	÷1.000	×0.690	—	×0.992	4.55%
HBP% /PA	0.00%	—	×0.940	—	×0.992	0.00%
Singles /BIP	17.55%	÷1.000	×0.930	×1.008	×0.992	16.32%
Doubles /BIP	10.11%	÷1.000	×0.830	×1.008	×0.992	8.38%
Triples /BIP	0.00%	÷1.000	×0.970	×1.008	×0.992	0.00%
Home runs /BIP	5.85%	÷1.000	×0.840	—	×0.992	4.88%

Factors used: league row IL. Park (home-season share, regressed): no park row on file (treated as neutral) — 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 ×1.008.

Result: wOBA .314 → .261; ISO .199 → .163; BABIP .287 → .254. 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).

2008 AAAScranton/Wilkes-Barre Yankees · 33 PAwOBA .444 → .369 (−74)K% 21.2% → 25.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.21%	÷1.000	×1.200	—	—	25.45%
BB% (unintentional) /PA	18.18%	÷1.000	×0.690	—	×1.003	12.58%
HBP% /PA	0.00%	—	×0.940	—	×1.003	0.00%
Singles /BIP	20.00%	÷1.000	×0.930	—	×1.003	18.66%
Doubles /BIP	20.00%	÷1.000	×0.830	—	×1.003	16.65%
Triples /BIP	0.00%	÷1.000	×0.970	—	×1.003	0.00%
Home runs /BIP	5.00%	÷1.000	×0.840	—	×1.003	4.21%

Factors used: league row IL. 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 27.2 → +0.3% on BB/HBP/hit rates (0.2 yr younger than average).

Result: wOBA .444 → .369; ISO .259 → .222; BABIP .421 → .369. 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 — .