Jose Aguilar

PosCF

B/TR/R

Born1990-05-19

Age (2027)37

No MLB projection yet. Career stats below are historical.

Overview

INTLPROSPECT

MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR
2023	33	INTLCharros de Ja…	151	.277/.361/.315	0	6	94	—
2024	34	INTLCharros de Ja…	163	.271/.333/.389	1	6	101	—
2025	35	INTLCharros de Ja…	89	.237/.310/.316	0	4	70	—

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)
2010	20	AAA	Broncos de Reynosa	—	33	30	8	1	1	0	3	6	0	1	1	267	333	367	700	100	333	18	9	316	68	—	—	—	—	—	—
2011	21	AAA	Broncos de Reynosa	—	135	106	24	3	1	0	20	15	4	2	1	226	369	274	643	47	264	11	15	300	73	—	—	—	—	—	—
2012	22	AAA	Broncos de Reynosa	—	339	298	99	13	8	4	27	48	6	13	7	332	399	470	869	138	386	14	8	378	124	—	—	—	—	—	—
2012	22	INTL	Naranjeros de Hermosillo	—	216	182	56	11	1	4	19	41	8	5	3	308	397	445	842	137	371	19	9	368	135	—	—	—	—	—	—
2013	23	AAA	Broncos de Reynosa	—	502	444	140	18	7	6	38	61	13	16	6	315	386	428	814	113	355	12	8	362	110	—	—	—	—	—	—
2013	23	INTL	Mexico	—	222	193	60	15	1	3	20	31	5	3	3	311	390	446	836	135	354	14	9	369	136	—	—	—	—	—	—
2014	24	AAA	Broncos de Reynosa	—	277	243	83	22	5	2	29	30	2	6	3	342	416	498	914	156	382	11	10	401	123	—	—	—	—	—	—
2014	24	INTL	Naranjeros de Hermosillo	—	72	59	14	2	0	1	10	10	1	0	0	237	357	322	679	85	265	14	14	310	96	—	—	—	—	—	—
2015	25	AAA	Leones de Yucatan	—	405	345	103	17	2	8	34	43	14	16	6	299	384	429	813	130	321	11	8	357	109	—	—	—	—	—	—
2016	26	AAA	Leones de Yucatan	—	401	345	98	19	3	3	36	47	6	18	4	284	362	383	744	99	315	12	9	327	78	—	—	—	—	—	—
2016	26	INTL	Venados de Mazatlan	—	165	143	44	3	2	2	13	29	3	5	0	308	377	399	776	91	375	18	8	339	116	—	—	—	—	—	—
2017	27	AAA	Leones de Yucatan	—	266	234	68	16	0	6	16	45	7	10	2	291	353	436	789	145	335	17	6	342	87	—	—	—	—	—	—
2017	27	INTL	Venados de Mazatlan	—	220	187	53	14	0	2	18	25	7	6	6	283	366	390	757	107	315	11	8	333	112	—	—	—	—	—	—
2018	28	INTL	Yaquis de Obregon	—	163	138	37	12	0	1	11	21	8	4	4	268	354	377	731	109	308	13	7	324	105	—	—	—	—	—	—
2019	29	AAA	Leones de Yucatan	—	350	299	92	17	6	3	34	56	10	18	3	308	397	435	831	127	368	16	10	367	93	—	—	—	—	—	—
2019	29	INTL	Yaquis de Obregon	—	216	180	54	12	1	1	27	27	5	6	9	300	406	394	800	94	344	12	12	360	130	—	—	—	—	—	—
2020	30	INTL	Sultanes de Monterrey	—	156	143	46	8	1	2	9	27	3	7	1	322	374	434	808	112	386	17	6	360	130	—	—	—	—	—	—
2021	31	INTL	Mexico	—	182	153	42	8	0	0	16	30	3	2	1	275	355	327	681	52	331	16	9	299	88	—	—	—	—	—	—
2022	32	INTL	Charros de Jalisco	—	148	125	37	6	1	2	19	25	3	2	1	296	401	408	809	112	357	17	13	367	134	—	—	—	—	—	—
2023	33	INTL	Charros de Jalisco	—	151	130	36	3	1	0	15	25	2	6	3	277	361	315	676	38	343	17	10	307	94	—	—	—	—	—	—
2024	34	INTL	Charros de Jalisco	—	163	144	39	14	0	1	11	18	3	6	5	271	333	389	722	118	302	11	7	317	101	—	—	—	—	—	—
2025	35	INTL	Charros de Jalisco	—	89	76	18	4	1	0	6	10	2	4	0	237	310	316	625	79	257	11	7	272	70	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2010	20	AAA MLE	Broncos de Reynosa	—	33	31	8	1	1	0	2	7	0	1	1	258	303	355	658	97	311	21	6	269	68	—	—	—	—	—	—
2011	21	AAA MLE	Broncos de Reynosa	—	135	112	26	3	1	0	14	18	4	2	1	232	338	277	615	45	264	13	10	276	73	—	—	—	—	—	—
2012	22	AAA MLE	Broncos de Reynosa	—	339	308	101	11	7	3	17	55	6	13	7	328	375	438	813	110	383	16	5	351	124	—	—	—	—	—	—
2013	23	AAA MLE	Broncos de Reynosa	—	502	455	141	15	6	5	27	72	13	16	6	310	366	402	768	92	351	14	5	331	110	—	—	—	—	—	—
2014	24	AAA MLE	Broncos de Reynosa	—	277	252	79	19	5	2	20	35	2	6	3	313	369	452	821	139	352	13	7	350	123	—	—	—	—	—	—
2015	25	AAA MLE	Leones de Yucatan	—	405	356	103	17	2	7	23	51	14	16	6	289	356	407	764	118	307	13	6	329	109	—	—	—	—	—	—
2016	26	AAA MLE	Leones de Yucatan	—	401	356	92	15	3	3	25	61	6	18	4	258	318	343	661	84	283	15	6	284	78	—	—	—	—	—	—
2017	27	AAA MLE	Leones de Yucatan	—	266	240	63	13	0	5	11	53	7	10	2	263	314	379	693	117	306	20	4	297	87	—	—	—	—	—	—
2019	29	AAA MLE	Leones de Yucatan	—	350	310	83	15	5	3	23	66	10	18	3	268	338	377	716	110	316	19	7	306	93	—	—	—	—	—	—
2010	20	AAA MLE	Broncos de Reynosa	—	33	31	8	1	1	0	2	7	0	1	1	258	303	355	658	97	333	21	6	269	68	—	—	—	—	—	—
2010	20	AAA RAW	Broncos de Reynosa	—	33	30	8	1	1	0	3	6	0	1	1	267	333	367	700	100	333	18	9	316	68	—	—	—	—	—	—
2011	21	AAA MLE	Broncos de Reynosa	—	135	112	26	3	1	0	14	18	4	2	1	232	338	277	615	45	277	13	10	276	73	—	—	—	—	—	—
2011	21	AAA RAW	Broncos de Reynosa	—	135	106	24	3	1	0	20	15	4	2	1	226	369	274	643	47	264	11	15	300	73	—	—	—	—	—	—
2012	22	AAA MLE	2 teams	—	555	499	167	18	12	5	27	89	14	18	10	335	385	449	834	114	397	16	5	351	124	—	—	—	—	—	—
2012	22	AAA RAW	2 teams	—	555	480	155	24	9	8	46	89	14	18	10	323	398	460	859	137	381	16	8	374	124	—	—	—	—	—	—
2013	23	AAA MLE	2 teams	—	724	657	202	21	9	7	38	104	18	19	9	307	362	399	761	91	356	14	5	331	110	—	—	—	—	—	—
2013	23	AAA RAW	2 teams	—	724	637	200	33	8	9	58	92	18	19	9	314	387	433	820	119	355	13	8	364	110	—	—	—	—	—	—
2014	24	AAA MLE	2 teams	—	349	316	99	24	6	2	25	45	3	6	3	313	369	446	815	133	358	13	7	350	123	—	—	—	—	—	—
2014	24	AAA RAW	2 teams	—	349	302	97	24	5	3	39	40	3	6	3	321	404	464	868	142	360	11	11	382	123	—	—	—	—	—	—
2015	25	AAA MLE	Leones de Yucatan	—	405	356	103	17	2	7	23	51	14	16	6	289	356	407	764	118	320	13	6	329	109	—	—	—	—	—	—
2015	25	AAA RAW	Leones de Yucatan	—	405	345	103	17	2	8	34	43	14	16	6	299	384	429	813	130	321	11	8	357	109	—	—	—	—	—	—
2016	26	AAA MLE	2 teams	—	566	501	130	21	4	4	36	86	9	23	4	259	321	341	662	82	301	15	6	284	78	—	—	—	—	—	—
2016	26	AAA RAW	2 teams	—	566	488	142	22	5	5	49	76	9	23	4	291	366	387	754	96	331	13	9	331	78	—	—	—	—	—	—
2017	27	AAA MLE	2 teams	—	486	437	116	25	0	8	20	97	14	16	8	265	318	378	696	112	321	20	4	297	87	—	—	—	—	—	—
2017	27	AAA RAW	2 teams	—	486	421	121	30	0	8	34	70	14	16	8	287	359	416	774	128	326	14	7	338	87	—	—	—	—	—	—
2018	28	INTL MLE	Yaquis de Obregon	—	163	138	37	12	0	1	11	21	8	4	4	268	354	377	731	109	308	13	7	—	—	—	—	—	—	—	—
2018	28	INTL RAW	Yaquis de Obregon	—	163	138	37	12	0	1	11	21	8	4	4	268	354	377	731	109	308	13	7	324	105	—	—	—	—	—	—
2019	29	AAA MLE	2 teams	—	566	502	132	24	7	4	38	107	15	24	12	263	333	363	696	100	324	19	7	306	93	—	—	—	—	—	—
2019	29	AAA RAW	2 teams	—	566	479	146	29	7	4	61	83	15	24	12	305	400	420	820	115	359	15	11	365	93	—	—	—	—	—	—
2020	30	INTL MLE	Sultanes de Monterrey	—	156	143	46	8	1	2	9	27	3	7	1	322	374	434	808	112	386	17	6	—	—	—	—	—	—	—	—
2020	30	INTL RAW	Sultanes de Monterrey	—	156	143	46	8	1	2	9	27	3	7	1	322	374	434	808	112	386	17	6	360	130	—	—	—	—	—	—
2021	31	INTL MLE	Mexico	—	182	153	42	8	0	0	16	30	3	2	1	275	355	327	681	52	331	16	9	—	—	—	—	—	—	—	—
2021	31	INTL RAW	Mexico	—	182	153	42	8	0	0	16	30	3	2	1	275	355	327	681	52	331	16	9	299	88	—	—	—	—	—	—
2022	32	INTL MLE	Charros de Jalisco	—	148	125	37	6	1	2	19	25	3	2	1	296	401	408	809	112	357	17	13	—	—	—	—	—	—	—	—
2022	32	INTL RAW	Charros de Jalisco	—	148	125	37	6	1	2	19	25	3	2	1	296	401	408	809	112	357	17	13	367	134	—	—	—	—	—	—
2023	33	INTL MLE	Charros de Jalisco	—	151	130	36	3	1	0	15	25	2	6	3	277	361	315	676	38	343	17	10	—	—	—	—	—	—	—	—
2023	33	INTL RAW	Charros de Jalisco	—	151	130	36	3	1	0	15	25	2	6	3	277	361	315	676	38	343	17	10	307	94	—	—	—	—	—	—
2024	34	INTL MLE	Charros de Jalisco	—	163	144	39	14	0	1	11	18	3	6	5	271	333	389	722	118	302	11	7	—	—	—	—	—	—	—	—
2024	34	INTL RAW	Charros de Jalisco	—	163	144	39	14	0	1	11	18	3	6	5	271	333	389	722	118	302	11	7	317	101	—	—	—	—	—	—
2025	35	INTL MLE	Charros de Jalisco	—	89	76	18	4	1	0	6	10	2	4	0	237	310	316	625	79	257	11	7	—	—	—	—	—	—	—	—
2025	35	INTL RAW	Charros de Jalisco	—	89	76	18	4	1	0	6	10	2	4	0	237	310	316	625	79	257	11	7	272	70	—	—	—	—	—	—
2010	20	AAA MLE	Broncos de Reynosa	—	33	31	8	1	1	0	2	7	0	1	1	258	303	355	658	97	311	21	6	269	68	—	—	—	—	—	—
2011	21	AAA MLE	Broncos de Reynosa	—	135	116	26	3	1	0	14	18	4	2	1	224	338	267	606	43	264	13	10	276	73	—	—	—	—	—	—
2012	22	AAA MLE	2 teams	—	555	509	167	18	12	5	27	89	14	18	10	328	385	440	825	112	383	16	5	351	124	—	—	—	—	—	—
2013	23	AAA MLE	2 teams	—	724	662	202	21	9	7	38	104	18	19	9	305	362	396	758	91	351	14	5	331	110	—	—	—	—	—	—
2014	24	AAA MLE	2 teams	—	349	318	99	24	6	2	25	45	3	6	3	311	369	443	813	132	352	13	7	350	123	—	—	—	—	—	—
2015	25	AAA MLE	Leones de Yucatan	—	405	365	103	17	2	7	23	51	14	16	6	282	356	397	753	115	307	13	6	329	109	—	—	—	—	—	—
2016	26	AAA MLE	2 teams	—	566	516	130	21	4	4	36	86	9	23	4	252	321	331	652	79	283	15	6	284	78	—	—	—	—	—	—
2017	27	AAA MLE	2 teams	—	486	449	116	25	0	8	20	97	14	16	8	258	318	367	686	109	306	20	4	297	87	—	—	—	—	—	—
2019	29	AAA MLE	2 teams	—	566	508	132	24	7	4	38	107	15	24	12	260	333	358	692	98	316	19	7	306	93	—	—	—	—	—	—
▸ Career Totals
Career	—	MLE		—	4871	4320	1238	209	46	43	310	760	115	156	69	287	350	386	736	100	337	16	6	249	55	-262	+4	+0	+17	+106	-13.8
/ 162G	—	MLE		—	650	576	165	28	6	6	41	101	15	21	9	286	349	387	736	101	335	16	6	249	55	-35	+1	+0	+2	+14	-1.8

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.

2019 AAALeones de Yucatan · 350 PAwOBA .360 → .306 (−54)K% 16.0% → 18.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.00%	÷1.018	×1.200	—	—	18.86%
BB% (unintentional) /PA	9.71%	÷0.986	×0.690	—	×0.982	6.68%
HBP% /PA	2.86%	—	×0.940	—	×0.982	2.64%
Singles /BIP	27.16%	÷0.992	×0.930	×0.950	×0.982	23.75%
Doubles /BIP	7.00%	÷0.910	×0.830	×0.950	×0.982	5.95%
Triples /BIP	2.47%	÷1.150	×0.920	×0.950	×0.982	1.84%
Home runs /BIP	1.23%	÷0.792	×0.700	—	×0.982	1.07%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 58, 1B 98, 2B 82, 3B 130, K 104, BB 97 — 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 ×0.950.

Result: wOBA .360 → .306; ISO .127 → .108; BABIP .368 → .316. 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).

2017 AAALeones de Yucatan · 266 PAwOBA .335 → .297 (−39)K% 16.9% → 20.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.92%	÷1.015	×1.200	—	—	20.01%
BB% (unintentional) /PA	6.02%	÷0.998	×0.690	—	×1.003	4.17%
HBP% /PA	2.63%	—	×0.940	—	×1.003	2.48%
Singles /BIP	24.34%	÷1.002	×0.930	×1.028	×1.003	23.30%
Doubles /BIP	8.47%	÷1.054	×0.830	×1.028	×1.003	6.88%
Triples /BIP	0.00%	÷0.900	×0.920	×1.028	×1.003	0.00%
Home runs /BIP	3.17%	÷0.945	×0.700	—	×1.003	2.36%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 89, 1B 100, 2B 111, 3B 80, K 103, BB 100 — 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 ×1.028.

Result: wOBA .335 → .297; ISO .145 → .116; BABIP .335 → .306. 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 AAALeones de Yucatan · 401 PAwOBA .324 → .284 (−40)K% 11.7% → 15.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	11.72%	÷0.924	×1.200	—	—	15.22%
BB% (unintentional) /PA	8.98%	÷1.008	×0.690	—	×1.018	6.26%
HBP% /PA	1.50%	—	×0.940	—	×1.018	1.43%
Singles /BIP	24.50%	÷0.991	×0.930	×0.987	×1.018	23.09%
Doubles /BIP	6.38%	÷1.104	×0.830	×0.987	×1.018	4.82%
Triples /BIP	1.01%	÷1.150	×0.920	×0.987	×1.018	0.81%
Home runs /BIP	1.01%	÷0.834	×0.700	—	×1.018	0.86%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 67, 1B 98, 2B 121, 3B 130, K 85, 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 ×0.987.

Result: wOBA .324 → .284; ISO .099 → .081; BABIP .315 → .283. 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 AAALeones de Yucatan · 405 PAwOBA .347 → .329 (−18)K% 10.6% → 12.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	10.62%	÷1.000	×1.200	—	—	12.74%
BB% (unintentional) /PA	7.65%	÷0.949	×0.690	—	×1.033	5.75%
HBP% /PA	3.46%	—	×0.940	—	×1.033	3.36%
Singles /BIP	25.17%	÷1.005	×0.930	×1.015	×1.033	24.40%
Doubles /BIP	5.63%	÷0.935	×0.830	×1.015	×1.033	5.24%
Triples /BIP	0.66%	÷1.150	×0.920	×1.015	×1.033	0.56%
Home runs /BIP	2.65%	÷0.849	×0.700	—	×1.033	2.26%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 70, 1B 101, 2B 87, 3B 130, K 100, BB 90 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.015.

Result: wOBA .347 → .329; ISO .130 → .120; BABIP .321 → .307. 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 AAABroncos de Reynosa · 277 PAwOBA .392 → .350 (−42)K% 10.8% → 12.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	10.83%	÷1.016	×1.200	—	—	12.79%
BB% (unintentional) /PA	10.47%	÷1.048	×0.690	—	×1.048	7.22%
HBP% /PA	0.72%	—	×0.940	—	×1.048	0.71%
Singles /BIP	25.35%	÷1.065	×0.930	×1.044	×1.048	24.21%
Doubles /BIP	10.33%	÷1.061	×0.830	×1.044	×1.048	8.84%
Triples /BIP	2.35%	÷1.150	×0.920	×1.044	×1.048	2.05%
Home runs /BIP	0.94%	÷0.912	×0.700	—	×1.048	0.75%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 82, 1B 113, 2B 112, 3B 130, K 103, BB 110 — 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 ×1.044.

Result: wOBA .392 → .350; ISO .156 → .137; BABIP .382 → .352. 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 AAABroncos de Reynosa · 502 PAwOBA .352 → .331 (−22)K% 12.2% → 14.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.15%	÷1.012	×1.200	—	—	14.41%
BB% (unintentional) /PA	7.57%	÷1.031	×0.690	—	×1.050	5.32%
HBP% /PA	2.59%	—	×0.940	—	×1.050	2.56%
Singles /BIP	28.46%	÷0.994	×0.930	×1.050	×1.050	29.36%
Doubles /BIP	4.70%	÷1.155	×0.830	×1.050	×1.050	3.72%
Triples /BIP	1.83%	÷1.150	×0.920	×1.050	×1.050	1.61%
Home runs /BIP	1.57%	÷0.932	×0.700	—	×1.050	1.24%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 86, 1B 99, 2B 131, 3B 130, K 102, BB 106 — 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 ×1.050.

Result: wOBA .352 → .331; ISO .113 → .094; BABIP .355 → .351. 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 AAABroncos de Reynosa · 339 PAwOBA .367 → .351 (−16)K% 14.2% → 16.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.16%	÷1.052	×1.200	—	—	16.14%
BB% (unintentional) /PA	7.67%	÷1.125	×0.690	—	×1.050	4.94%
HBP% /PA	1.77%	—	×0.940	—	×1.050	1.75%
Singles /BIP	29.60%	÷0.988	×0.930	×1.050	×1.050	30.70%
Doubles /BIP	5.20%	÷1.106	×0.830	×1.050	×1.050	4.30%
Triples /BIP	3.20%	÷1.150	×0.920	×1.050	×1.050	2.82%
Home runs /BIP	1.60%	÷0.941	×0.700	—	×1.050	1.25%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 88, 1B 98, 2B 121, 3B 130, K 110, BB 125 — applied at half strength. Age: age 22 vs a level average of 27.2 → +5.0% on BB/HBP/hit rates (5.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .367 → .351; ISO .138 → .120; BABIP .386 → .383. 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 AAABroncos de Reynosa · 135 PAwOBA .293 → .276 (−17)K% 11.1% → 13.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	11.11%	÷0.981	×1.200	—	—	13.59%
BB% (unintentional) /PA	14.81%	÷1.016	×0.690	—	×1.050	10.56%
HBP% /PA	2.96%	—	×0.940	—	×1.050	2.92%
Singles /BIP	21.98%	÷1.007	×0.930	×1.050	×1.050	22.38%
Doubles /BIP	3.30%	÷1.001	×0.830	×1.050	×1.050	3.01%
Triples /BIP	1.10%	÷1.150	×0.920	×1.050	×1.050	0.97%
Home runs /BIP	0.00%	÷0.972	×0.700	—	×1.050	0.00%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 94, 1B 101, 2B 100, 3B 130, K 96, BB 103 — applied at half strength. Age: age 21 vs a level average of 27.2 → +5.0% on BB/HBP/hit rates (6.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .293 → .276; ISO .047 → .046; BABIP .264 → .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).

Not traceable per stint: some stints lack the counting stats the component translation needs. Level-wide factors that apply instead — .