Alejandro Gonzalez

PosCF

B/TS/R

Born1985-10-18

Age (2027)41

No MLB projection yet. Career stats below are historical.

Overview

INTLLAST SEASON 2023

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR
2021	35	INTLYaquis de Obr…	152	.269/.408/.336	1	3	116	—
2022	36	INTLCharros de Ja…	55	.263/.491/.395	1	0	170	—
2023	37	INTLCharros de Ja…	57	.159/.327/.295	1	0	81	—

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)
2009	23	AAA	Guerreros de Oaxaca	—	63	52	11	2	0	0	6	9	2	0	0	212	317	250	567	38	244	14	10	260	53	—	—	—	—	—	—
2010	24	AAA	Guerreros de Oaxaca	—	353	268	77	10	6	3	59	67	12	14	5	287	437	403	840	116	366	19	17	372	108	—	—	—	—	—	—
2010	24	INTL	Mayos de Navojoa	—	165	140	37	8	1	7	15	33	5	2	0	264	356	486	842	221	297	20	9	361	131	—	—	—	—	—	—
2011	25	AAA	Guerreros de Oaxaca	—	451	375	100	12	1	5	54	99	10	9	8	267	374	344	718	77	348	22	12	325	72	—	—	—	—	—	—
2011	25	INTL	Mayos de Navojoa	—	50	39	7	2	0	0	5	11	4	0	0	179	333	231	564	51	241	22	10	270	69	—	—	—	—	—	—
2012	26	AAA	Guerreros de Oaxaca	—	430	368	103	17	1	10	41	67	14	9	12	280	374	413	787	133	317	16	10	351	82	—	—	—	—	—	—
2012	26	INTL	Mayos de Navojoa	—	86	69	17	2	0	1	10	19	3	3	1	246	366	319	685	72	327	22	12	308	95	—	—	—	—	—	—
2013	27	AAA	Guerreros de Oaxaca	—	379	315	89	17	5	11	46	74	10	2	1	283	391	473	864	190	339	20	12	377	84	—	—	—	—	—	—
2013	27	INTL	Mayos de Navojoa	—	157	131	35	4	2	1	16	30	4	0	5	267	364	351	715	84	340	19	10	318	101	—	—	—	—	—	—
2014	28	AAA	Guerreros de Oaxaca	—	449	362	113	18	0	16	60	84	16	4	4	312	432	494	926	182	367	19	13	404	90	—	—	—	—	—	—
2014	28	INTL	Mayos de Navojoa	—	126	111	19	3	0	2	7	29	4	0	1	171	246	252	498	81	210	23	6	226	39	—	—	—	—	—	—
2015	29	AAA	Guerreros de Oaxaca	—	456	401	117	14	5	10	31	93	13	5	4	292	362	426	788	135	357	20	7	346	68	—	—	—	—	—	—
2015	29	INTL	Mayos de Navojoa	—	197	161	38	11	0	1	20	37	7	2	0	236	346	323	669	87	296	19	10	299	88	—	—	—	—	—	—
2016	30	AAA	Guerreros de Oaxaca	—	292	255	69	15	2	0	22	84	9	1	2	271	350	345	695	75	397	29	8	313	48	—	—	—	—	—	—
2016	30	INTL	Mayos de Navojoa	—	247	208	52	7	1	2	23	41	8	3	1	250	347	322	669	72	298	17	9	302	91	—	—	—	—	—	—
2017	31	AAA	Guerreros de Oaxaca	—	398	353	101	21	5	8	30	91	8	5	3	286	355	442	797	156	360	23	8	350	75	—	—	—	—	—	—
2017	31	INTL	Mayos de Navojoa	—	181	161	39	5	2	2	12	40	2	4	4	242	303	335	638	93	306	22	7	281	76	—	—	—	—	—	—
2018	32	INTL	Mayos de Navojoa	—	227	199	46	1	2	1	19	47	2	8	8	231	305	271	576	40	296	21	8	261	63	—	—	—	—	—	—
2019	33	AAA	Guerreros de Oaxaca	—	447	377	119	34	3	9	54	80	10	20	9	316	415	493	908	178	378	18	12	399	80	—	—	—	—	—	—
2019	33	INTL	Mayos de Navojoa	—	127	106	21	3	0	0	15	35	2	4	2	198	309	226	535	28	292	28	12	253	57	—	—	—	—	—	—
2020	34	INTL	Yaquis de Obregon	—	173	137	38	8	0	5	22	33	7	3	0	277	404	445	849	168	327	19	13	369	136	—	—	—	—	—	—
2021	35	INTL	Yaquis de Obregon	—	152	119	32	3	1	1	24	35	4	3	3	269	408	336	744	67	373	23	16	340	116	—	—	—	—	—	—
2022	36	INTL	Charros de Jalisco	—	55	38	10	2	0	1	12	10	5	0	2	263	491	395	886	132	333	18	22	419	170	—	—	—	—	—	—
2023	37	INTL	Charros de Jalisco	—	57	44	7	3	0	1	8	16	3	0	1	159	327	295	623	136	222	28	14	288	81	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2009	23	AAA MLE	Guerreros de Oaxaca	—	63	54	11	2	0	0	4	11	2	0	0	204	283	241	524	37	236	17	6	246	53	—	—	—	—	—	—
2010	24	AAA MLE	Guerreros de Oaxaca	—	353	289	79	9	6	2	38	78	12	14	5	273	381	367	747	93	339	22	11	328	108	—	—	—	—	—	—
2011	25	AAA MLE	Guerreros de Oaxaca	—	451	398	98	11	1	4	31	123	10	9	8	246	317	309	626	63	329	27	7	275	72	—	—	—	—	—	—
2012	26	AAA MLE	Guerreros de Oaxaca	—	430	385	95	13	1	7	24	86	14	9	12	247	314	340	655	94	291	20	6	289	82	—	—	—	—	—	—
2013	27	AAA MLE	Guerreros de Oaxaca	—	379	329	76	14	4	6	32	93	10	2	1	231	318	353	671	122	293	25	8	292	84	—	—	—	—	—	—
2014	28	AAA MLE	Guerreros de Oaxaca	—	449	388	96	14	0	9	34	106	16	4	4	247	333	353	686	106	301	24	8	301	90	—	—	—	—	—	—
2015	29	AAA MLE	Guerreros de Oaxaca	—	456	412	97	10	5	5	20	115	13	5	4	235	292	320	613	85	302	25	4	268	68	—	—	—	—	—	—
2016	30	AAA MLE	Guerreros de Oaxaca	—	292	266	57	12	2	0	11	105	9	1	2	214	269	274	544	60	330	36	4	239	48	—	—	—	—	—	—
2017	31	AAA MLE	Guerreros de Oaxaca	—	398	367	89	17	4	5	16	110	8	5	3	243	289	351	641	109	318	28	4	279	75	—	—	—	—	—	—
2019	33	AAA MLE	Guerreros de Oaxaca	—	447	397	91	22	2	6	34	96	10	20	9	229	306	340	646	111	281	21	8	287	80	—	—	—	—	—	—
2009	23	AAA MLE	Guerreros de Oaxaca	—	63	54	11	2	0	0	4	11	2	0	0	204	283	241	524	37	244	17	6	246	53	—	—	—	—	—	—
2009	23	AAA RAW	Guerreros de Oaxaca	—	63	52	11	2	0	0	6	9	2	0	0	212	317	250	567	38	244	14	10	260	53	—	—	—	—	—	—
2010	24	AAA MLE	2 teams	—	518	426	116	14	8	3	56	115	17	16	5	272	379	364	743	92	361	22	11	328	108	—	—	—	—	—	—
2010	24	AAA RAW	2 teams	—	518	408	114	18	7	10	74	100	17	16	5	279	411	431	842	152	343	19	14	368	108	—	—	—	—	—	—
2011	25	AAA MLE	2 teams	—	501	438	108	12	1	4	35	137	14	9	8	247	322	306	628	59	347	27	7	275	72	—	—	—	—	—	—
2011	25	AAA RAW	2 teams	—	501	414	107	14	1	5	59	110	14	9	8	258	370	333	703	75	338	22	12	320	72	—	—	—	—	—	—
2012	26	AAA MLE	2 teams	—	516	460	113	16	1	8	28	104	17	12	13	246	313	337	650	91	300	20	5	289	82	—	—	—	—	—	—
2012	26	AAA RAW	2 teams	—	516	437	120	19	1	11	51	86	17	12	13	275	372	398	770	124	319	17	10	344	82	—	—	—	—	—	—
2013	27	AAA MLE	2 teams	—	536	463	108	19	6	9	45	132	14	2	6	233	320	359	678	125	307	25	8	292	84	—	—	—	—	—	—
2013	27	AAA RAW	2 teams	—	536	446	124	21	7	12	62	104	14	2	6	278	383	437	820	159	339	19	12	360	84	—	—	—	—	—	—
2014	28	AAA MLE	2 teams	—	575	497	122	17	0	12	43	136	20	4	5	245	330	352	682	107	312	24	7	301	90	—	—	—	—	—	—
2014	28	AAA RAW	2 teams	—	575	473	132	21	0	18	67	113	20	4	5	279	391	438	829	159	330	20	12	365	90	—	—	—	—	—	—
2015	29	AAA MLE	2 teams	—	653	585	140	15	6	8	28	165	20	7	4	239	297	326	623	87	317	25	4	268	68	—	—	—	—	—	—
2015	29	AAA RAW	2 teams	—	653	562	155	25	5	11	51	130	20	7	4	276	357	397	754	121	339	20	8	332	68	—	—	—	—	—	—
2016	30	AAA MLE	2 teams	—	539	488	104	21	3	0	20	195	17	4	3	213	269	268	537	55	348	36	4	239	48	—	—	—	—	—	—
2016	30	AAA RAW	2 teams	—	539	463	121	22	3	2	45	125	17	4	3	261	349	335	683	73	348	23	8	308	48	—	—	—	—	—	—
2017	31	AAA MLE	2 teams	—	579	533	130	25	6	7	23	160	10	9	7	244	288	353	641	109	331	28	4	279	75	—	—	—	—	—	—
2017	31	AAA RAW	2 teams	—	579	514	140	26	7	10	42	131	10	9	7	272	339	409	748	136	343	23	7	328	75	—	—	—	—	—	—
2018	32	INTL MLE	Mayos de Navojoa	—	227	199	46	1	2	1	19	47	2	8	8	231	305	271	576	40	296	21	8	—	—	—	—	—	—	—	—
2018	32	INTL RAW	Mayos de Navojoa	—	227	199	46	1	2	1	19	47	2	8	8	231	305	271	576	40	296	21	8	261	63	—	—	—	—	—	—
2019	33	AAA MLE	2 teams	—	574	508	118	28	3	8	44	123	12	24	11	232	309	346	655	114	289	21	8	287	80	—	—	—	—	—	—
2019	33	AAA RAW	2 teams	—	574	483	140	37	3	9	69	115	12	24	11	290	392	435	827	145	361	20	12	367	80	—	—	—	—	—	—
2020	34	INTL MLE	Yaquis de Obregon	—	173	137	38	8	0	5	22	33	7	3	0	277	404	445	849	168	327	19	13	—	—	—	—	—	—	—	—
2020	34	INTL RAW	Yaquis de Obregon	—	173	137	38	8	0	5	22	33	7	3	0	277	404	445	849	168	327	19	13	369	136	—	—	—	—	—	—
2021	35	INTL MLE	Yaquis de Obregon	—	152	119	32	3	1	1	24	35	4	3	3	269	408	336	744	67	373	23	16	—	—	—	—	—	—	—	—
2021	35	INTL RAW	Yaquis de Obregon	—	152	119	32	3	1	1	24	35	4	3	3	269	408	336	744	67	373	23	16	340	116	—	—	—	—	—	—
2022	36	INTL MLE	Charros de Jalisco	—	55	38	10	2	0	1	12	10	5	0	2	263	491	395	886	132	333	18	22	—	—	—	—	—	—	—	—
2022	36	INTL RAW	Charros de Jalisco	—	55	38	10	2	0	1	12	10	5	0	2	263	491	395	886	132	333	18	22	419	170	—	—	—	—	—	—
2023	37	INTL MLE	Charros de Jalisco	—	57	44	7	3	0	1	8	16	3	0	1	159	327	295	623	136	222	28	14	—	—	—	—	—	—	—	—
2023	37	INTL RAW	Charros de Jalisco	—	57	44	7	3	0	1	8	16	3	0	1	159	327	295	623	136	222	28	14	288	81	—	—	—	—	—	—
2009	23	AAA MLE	Guerreros de Oaxaca	—	63	57	11	2	0	0	4	11	2	0	0	193	283	228	511	35	236	17	6	246	53	—	—	—	—	—	—
2010	24	AAA MLE	2 teams	—	518	440	116	14	8	3	56	115	17	16	5	264	379	352	731	89	339	22	11	328	108	—	—	—	—	—	—
2011	25	AAA MLE	2 teams	—	501	447	108	12	1	4	35	137	14	9	8	242	322	300	622	58	329	27	7	275	72	—	—	—	—	—	—
2012	26	AAA MLE	2 teams	—	516	466	113	16	1	8	28	104	17	12	13	242	313	333	645	90	291	20	5	289	82	—	—	—	—	—	—
2013	27	AAA MLE	2 teams	—	536	472	108	19	6	9	45	132	14	2	6	229	320	352	672	123	293	25	8	292	84	—	—	—	—	—	—
2014	28	AAA MLE	2 teams	—	575	507	122	17	0	12	43	136	20	4	5	241	330	345	676	105	301	24	7	301	90	—	—	—	—	—	—
2015	29	AAA MLE	2 teams	—	653	600	140	15	6	8	28	165	20	7	4	233	297	318	615	85	302	25	4	268	68	—	—	—	—	—	—
2016	30	AAA MLE	2 teams	—	539	497	104	21	3	0	20	195	17	4	3	209	269	264	532	54	330	36	4	239	48	—	—	—	—	—	—
2017	31	AAA MLE	2 teams	—	579	541	130	25	6	7	23	160	10	9	7	240	288	348	635	107	318	28	4	279	75	—	—	—	—	—	—
2019	33	AAA MLE	2 teams	—	574	513	118	28	3	8	44	123	12	24	11	230	309	343	652	113	281	21	8	287	80	—	—	—	—	—	—
▸ Career Totals
Career	—	MLE		—	5718	4989	1203	186	37	68	411	1419	164	101	76	241	320	334	654	93	321	25	7	250	56	-302	-10	+0	+20	+124	-17.1
/ 162G	—	MLE		—	650	567	137	21	4	8	47	161	19	11	9	242	321	335	656	93	321	25	7	250	56	-34	-1	+0	+2	+14	-2.0

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 AAAGuerreros de Oaxaca · 447 PAwOBA .391 → .287 (−105)K% 17.9% → 21.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.90%	÷0.998	×1.200	—	—	21.53%
BB% (unintentional) /PA	12.08%	÷1.036	×0.690	—	×0.940	7.56%
HBP% /PA	2.24%	—	×0.940	—	×0.940	1.98%
Singles /BIP	24.58%	÷1.025	×0.930	×0.950	×0.940	19.91%
Doubles /BIP	11.45%	÷1.200	×0.830	×0.950	×0.940	7.07%
Triples /BIP	1.01%	÷1.058	×0.920	×0.950	×0.940	0.78%
Home runs /BIP	3.03%	÷0.972	×0.700	—	×0.940	2.05%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 94, 1B 105, 2B 140, 3B 112, K 100, BB 107 — applied at half strength. Age: age 34 vs a level average of 27.2 → −6.0% on BB/HBP/hit rates (6.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .391 → .287; ISO .178 → .121; BABIP .378 → .281. 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 AAAGuerreros de Oaxaca · 398 PAwOBA .340 → .279 (−62)K% 22.9% → 27.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.86%	÷0.991	×1.200	—	—	27.69%
BB% (unintentional) /PA	6.53%	÷1.085	×0.690	—	×0.952	3.95%
HBP% /PA	2.01%	—	×0.940	—	×0.952	1.80%
Singles /BIP	25.57%	÷0.999	×0.930	×1.050	×0.952	23.80%
Doubles /BIP	8.02%	÷1.042	×0.830	×1.050	×0.952	6.38%
Triples /BIP	1.91%	÷1.135	×0.920	×1.050	×0.952	1.55%
Home runs /BIP	3.05%	÷1.121	×0.700	—	×0.952	1.82%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 124, 1B 100, 2B 108, 3B 127, K 98, BB 117 — 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 ×1.050.

Result: wOBA .340 → .279; ISO .156 → .112; BABIP .360 → .318. 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 AAAGuerreros de Oaxaca · 292 PAwOBA .303 → .239 (−64)K% 28.8% → 36.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	28.77%	÷0.956	×1.200	—	—	36.11%
BB% (unintentional) /PA	6.16%	÷1.092	×0.690	—	×0.962	3.75%
HBP% /PA	3.08%	—	×0.940	—	×0.962	2.79%
Singles /BIP	30.41%	÷1.086	×0.930	×1.028	×0.962	25.74%
Doubles /BIP	8.77%	÷1.046	×0.830	×1.028	×0.962	6.88%
Triples /BIP	1.17%	÷1.150	×0.920	×1.028	×0.962	0.92%
Home runs /BIP	0.00%	÷1.190	×0.700	—	×0.962	0.00%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 138, 1B 117, 2B 109, 3B 130, K 91, BB 118 — 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 ×1.028.

Result: wOBA .303 → .239; ISO .075 → .057; BABIP .397 → .330. 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 AAAGuerreros de Oaxaca · 456 PAwOBA .337 → .268 (−70)K% 20.4% → 25.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.39%	÷0.966	×1.200	—	—	25.33%
BB% (unintentional) /PA	6.58%	÷1.029	×0.690	—	×0.972	4.29%
HBP% /PA	2.85%	—	×0.940	—	×0.972	2.60%
Singles /BIP	28.57%	÷1.059	×0.930	×1.027	×0.972	25.06%
Doubles /BIP	4.55%	÷1.117	×0.830	×1.027	×0.972	3.37%
Triples /BIP	1.62%	÷1.017	×0.920	×1.027	×0.972	1.47%
Home runs /BIP	3.25%	÷1.244	×0.700	—	×0.972	1.78%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 149, 1B 112, 2B 123, 3B 103, K 93, BB 106 — 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 ×1.027.

Result: wOBA .337 → .268; ISO .135 → .090; BABIP .357 → .302. 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 AAAGuerreros de Oaxaca · 449 PAwOBA .393 → .301 (−93)K% 18.7% → 23.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.71%	÷0.948	×1.200	—	—	23.68%
BB% (unintentional) /PA	12.47%	÷1.120	×0.690	—	×0.982	7.55%
HBP% /PA	3.56%	—	×0.940	—	×0.982	3.29%
Singles /BIP	28.42%	÷1.067	×0.930	×1.019	×0.982	24.78%
Doubles /BIP	6.47%	÷1.167	×0.830	×1.019	×0.982	4.61%
Triples /BIP	0.00%	÷1.150	×0.920	×1.019	×0.982	0.00%
Home runs /BIP	5.76%	÷1.287	×0.700	—	×0.982	3.07%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 157, 1B 113, 2B 133, 3B 130, K 90, BB 124 — 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 ×1.019.

Result: wOBA .393 → .301; ISO .182 → .112; BABIP .367 → .301. 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 AAAGuerreros de Oaxaca · 379 PAwOBA .368 → .292 (−76)K% 19.5% → 24.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.53%	÷0.952	×1.200	—	—	24.61%
BB% (unintentional) /PA	12.14%	÷0.992	×0.690	—	×0.992	8.38%
HBP% /PA	2.64%	—	×0.940	—	×0.992	2.46%
Singles /BIP	23.24%	÷1.022	×0.930	×1.016	×0.992	21.30%
Doubles /BIP	7.05%	÷1.064	×0.830	×1.016	×0.992	5.54%
Triples /BIP	2.07%	÷1.150	×0.920	×1.016	×0.992	1.67%
Home runs /BIP	4.56%	÷1.221	×0.700	—	×0.992	2.60%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 144, 1B 104, 2B 113, 3B 130, K 90, BB 98 — 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 ×1.016.

Result: wOBA .368 → .292; ISO .190 → .130; BABIP .339 → .293. 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 AAAGuerreros de Oaxaca · 430 PAwOBA .340 → .289 (−51)K% 15.6% → 20.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.58%	÷0.931	×1.200	—	—	20.08%
BB% (unintentional) /PA	8.37%	÷1.056	×0.690	—	×1.003	5.49%
HBP% /PA	3.26%	—	×0.940	—	×1.003	3.07%
Singles /BIP	24.92%	÷0.985	×0.930	×1.017	×1.003	24.01%
Doubles /BIP	5.65%	÷1.118	×0.830	×1.017	×1.003	4.28%
Triples /BIP	0.33%	÷0.961	×0.920	×1.017	×1.003	0.32%
Home runs /BIP	3.32%	÷1.045	×0.700	—	×1.003	2.23%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 109, 1B 97, 2B 124, 3B 92, K 86, BB 111 — 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 ×1.017.

Result: wOBA .340 → .289; ISO .133 → .097; BABIP .317 → .291. 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 AAAGuerreros de Oaxaca · 451 PAwOBA .317 → .275 (−42)K% 22.0% → 27.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.95%	÷0.965	×1.200	—	—	27.30%
BB% (unintentional) /PA	11.53%	÷1.169	×0.690	—	×1.018	6.93%
HBP% /PA	2.22%	—	×0.940	—	×1.018	2.12%
Singles /BIP	29.71%	÷1.031	×0.930	×1.050	×1.018	28.65%
Doubles /BIP	4.35%	÷1.025	×0.830	×1.050	×1.018	3.76%
Triples /BIP	0.36%	÷1.150	×0.920	×1.050	×1.018	0.31%
Home runs /BIP	1.81%	÷1.016	×0.700	—	×1.018	1.27%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 103, 1B 106, 2B 105, 3B 130, K 93, BB 134 — 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 ×1.050.

Result: wOBA .317 → .275; ISO .077 → .063; BABIP .348 → .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).

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