Maxwell Leon

Pos2B

B/TS/R

Born1984-06-27

Age (2027)43

No MLB projection yet. Career stats below are historical.

Overview

INTLLAST SEASON 2022

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR
2020	36	INTLVenados de Ma…	131	.261/.336/.452	4	1	118	—
2021	37	INTLVenados de Ma…	99	.291/.429/.494	4	0	162	—
2022	38	INTLNaranjeros de…	110	.242/.312/.384	2	1	96	—

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)
2006	22	AA	Erie SeaWolves	—	16	15	1	0	0	1	1	6	0	0	0	67	125	267	392	200		38	6	174	-32	—	—	—	—	—	—
2006	22	ROK	GCL Tigers	—	57	49	9	3	0	1	6	13	0	0	0	184	263	306	569	122	229	23	11	257	3	—	—	—	—	—	—
2007	23	A+	Lakeland Flying Tigers	—	371	321	96	16	2	1	33	41	2	14	1	299	368	371	739	72	338	11	9	324	88	—	—	—	—	—	—
2008	24	AAA	Toledo Mud Hens	—	174	149	41	2	2	0	17	33	0	8	2	275	345	315	661	40	347	19	10	294	81	—	—	—	—	—	—
2008	24	AA	Erie SeaWolves	—	182	147	46	5	1	0	30	41	2	8	5	313	436	361	796	48	426	23	16	366	115	—	—	—	—	—	—
2009	25	AAA	Toledo Mud Hens	—	34	31	5	0	0	1	2	4	1	0	1	161	235	258	493	97	154	12	6	230	21	—	—	—	—	—	—
2009	25	AA	Erie SeaWolves	—	269	234	60	11	4	7	24	47	3	6	2	256	333	427	761	171	294	17	9	329	84	—	—	—	—	—	—
2009	25	A+	Lakeland Flying Tigers	—	33	28	8	2	1	0	4	7	0	0	0	286	375	429	804	143	364	21	12	348	82	—	—	—	—	—	—
2010	26	AAA	Toledo Mud Hens	—	333	298	71	10	6	3	24	59	5	2	1	238	306	342	648	104	283	18	7	289	60	—	—	—	—	—	—
2010	26	INTL	Tomateros de Culiacan	—	209	176	50	12	3	2	22	40	3	11	2	284	373	420	794	136	358	19	11	344	119	—	—	—	—	—	—
2011	27	AAA	Petroleros de Minatitlan	—	243	205	70	16	5	14	26	43	3	4	0	341	423	673	1.096	332	376	18	11	452	131	—	—	—	—	—	—
2011	27	INTL	Tomateros de Culiacan	—	235	198	63	16	0	6	18	32	10	9	3	318	401	490	891	172	354	14	8	383	145	—	—	—	—	—	—
2012	28	AAA	Sultanes de Monterrey	—	430	356	107	17	4	5	49	67	18	14	10	301	410	413	823	112	355	16	11	371	98	—	—	—	—	—	—
2012	28	INTL	Tomateros de Culiacan	—	246	214	58	8	1	5	27	46	1	6	2	271	355	388	743	117	323	19	11	332	111	—	—	—	—	—	—
2013	29	AAA	Sultanes de Monterrey	—	217	188	42	8	1	3	11	42	11	1	0	223	305	324	629	101	271	19	5	281	48	—	—	—	—	—	—
2013	29	INTL	Tomateros de Culiacan	—	199	163	52	4	3	5	22	34	5	10	1	319	416	472	888	153	376	17	11	380	143	—	—	—	—	—	—
2014	30	AAA	Piratas de Campeche	—	377	331	108	19	8	6	33	57	1	11	6	326	389	486	875	160	378	15	9	375	92	—	—	—	—	—	—
2014	30	INTL	Mexico	—	244	212	67	9	2	3	19	40	1	13	8	316	375	420	795	104	372	16	8	340	116	—	—	—	—	—	—
2015	31	AAA	Toros de Tijuana	—	308	256	75	10	0	3	34	49	3	10	0	293	382	367	749	74	348	16	11	328	82	—	—	—	—	—	—
2015	31	INTL	Tomateros de Culiacan	—	47	42	6	2	0	0	2	6	0	0	1	143	182	190	372	48	162	13	4	161	-5	—	—	—	—	—	—
2016	32	AAA	Piratas de Campeche	—	322	279	73	9	1	7	34	68	3	7	2	262	348	376	724	115	319	21	11	324	59	—	—	—	—	—	—
2016	32	INTL	Tomateros de Culiacan	—	143	126	44	6	1	1	12	15	1	6	3	349	410	437	847	87	384	10	8	371	137	—	—	—	—	—	—
2017	33	AAA	Piratas de Campeche	—	375	335	90	20	2	7	25	75	9	6	2	269	336	403	739	134	324	20	7	327	63	—	—	—	—	—	—
2017	33	INTL	Tomateros de Culiacan	—	168	139	31	5	1	0	12	36	6	4	2	223	310	273	584	50	292	21	7	259	61	—	—	—	—	—	—
2018	34	INTL	Tomateros de Culiacan	—	76	69	20	2	1	0	1	11	3	4	1	290	329	348	677	58	339	14	1	296	86	—	—	—	—	—	—
2019	35	AAA	Toros de Tijuana	—	293	241	80	16	1	10	33	49	12	10	3	332	437	531	968	199	385	17	11	419	107	—	—	—	—	—	—
2019	35	INTL	Charros de Jalisco	—	194	170	36	7	0	1	14	32	7	2	3	212	298	271	569	59	254	16	7	265	65	—	—	—	—	—	—
2020	36	INTL	Venados de Mazatlan	—	131	115	30	8	1	4	9	15	4	1	2	261	336	452	788	191	265	11	7	342	118	—	—	—	—	—	—
2021	37	INTL	Venados de Mazatlan	—	99	79	23	4	0	4	17	12	2	0	1	291	429	494	922	203	297	12	17	408	162	—	—	—	—	—	—
2022	38	INTL	Naranjeros de Hermosillo	—	110	99	24	6	1	2	10	22	0	1	0	242	312	384	696	141	293	20	9	309	96	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2006	22	AA MLE	Erie SeaWolves	—	16	15	1	0	0	1	1	7	0	0	0	67	125	267	392	200		44	6	121	-32	—	—	—	—	—	—
2006	22	ROK MLE	GCL Tigers	—	57	53	7	2	0	1	4	19	0	0	0	132	193	226	419	94	173	33	7	173	3	—	—	—	—	—	—
2007	23	A+ MLE	Lakeland Flying Tigers	—	371	330	95	16	2	1	24	58	2	14	1	288	340	358	697	70	327	16	6	299	88	—	—	—	—	—	—
2008	24	AAA MLE	Toledo Mud Hens	—	174	157	44	2	2	0	11	40	0	8	2	280	327	318	646	38	355	23	6	288	81	—	—	—	—	—	—
2008	24	AA MLE	Erie SeaWolves	—	182	157	49	5	1	0	20	50	2	8	5	312	397	357	753	45	433	27	11	338	115	—	—	—	—	—	—
2009	25	AAA MLE	Toledo Mud Hens	—	34	32	5	0	0	1	1	5	1	0	1	156	206	250	456	94	147	15	3	199	21	—	—	—	—	—	—
2009	25	AA MLE	Erie SeaWolves	—	269	242	60	10	4	6	16	57	3	6	2	248	303	397	699	149	289	21	6	293	84	—	—	—	—	—	—
2009	25	A+ MLE	Lakeland Flying Tigers	—	33	29	7	2	1	0	3	10	0	0	0	241	312	379	692	138	325	30	9	289	82	—	—	—	—	—	—
2010	26	AAA MLE	Toledo Mud Hens	—	333	304	66	9	6	3	18	70	5	2	1	217	272	316	588	99	262	21	5	257	60	—	—	—	—	—	—
2011	27	AAA MLE	Petroleros de Minatitlan	—	243	215	62	13	4	11	16	53	3	4	0	288	346	540	886	251	319	22	7	362	131	—	—	—	—	—	—
2012	28	AAA MLE	Sultanes de Monterrey	—	430	375	99	14	3	3	31	82	18	14	10	264	349	341	690	77	320	19	7	313	98	—	—	—	—	—	—
2013	29	AAA MLE	Sultanes de Monterrey	—	217	192	38	6	1	2	7	49	11	1	0	198	267	271	537	73	243	23	3	239	48	—	—	—	—	—	—
2014	30	AAA MLE	Piratas de Campeche	—	377	343	96	16	6	3	21	68	1	11	6	280	323	388	711	108	326	18	6	304	92	—	—	—	—	—	—
2015	31	AAA MLE	Toros de Tijuana	—	308	270	75	9	0	2	20	60	3	10	0	278	334	333	668	56	324	19	6	289	82	—	—	—	—	—	—
2016	32	AAA MLE	Piratas de Campeche	—	322	290	64	7	1	4	23	84	3	7	2	221	285	293	578	72	283	26	7	256	59	—	—	—	—	—	—
2017	33	AAA MLE	Piratas de Campeche	—	375	345	79	17	2	4	15	88	9	6	2	229	279	325	604	96	282	23	4	261	63	—	—	—	—	—	—
2019	35	AAA MLE	Toros de Tijuana	—	293	253	68	12	1	7	21	53	12	10	3	269	353	407	760	138	305	18	7	326	107	—	—	—	—	—	—
2006	22	ROK MLE	2 teams	—	73	69	7	2	0	1	4	26	0	0	0	101	151	174	325	72	143	36	5	162	-4	—	—	—	—	—	—
2006	22	ROK RAW	2 teams	—	73	64	10	3	0	2	7	19	0	0	0	156	233	297	530	141	186	26	10	239	-4	—	—	—	—	—	—
2007	23	A+ MLE	Lakeland Flying Tigers	—	371	330	95	16	2	1	24	58	2	14	1	288	340	358	697	70	344	16	6	299	88	—	—	—	—	—	—
2007	23	A+ RAW	Lakeland Flying Tigers	—	371	321	96	16	2	1	33	41	2	14	1	299	368	371	739	72	338	11	9	324	88	—	—	—	—	—	—
2008	24	AA MLE	2 teams	—	356	314	93	7	3	0	31	90	2	16	7	296	363	338	701	41	408	25	9	314	98	—	—	—	—	—	—
2008	24	AA RAW	2 teams	—	356	296	87	7	3	0	47	74	2	16	7	294	392	338	730	44	385	21	13	331	98	—	—	—	—	—	—
2009	25	AA MLE	3 teams	—	336	302	71	12	5	6	21	72	4	6	3	235	294	368	661	132	289	21	6	283	78	—	—	—	—	—	—
2009	25	AA RAW	3 teams	—	336	293	73	13	5	8	30	58	4	6	3	249	327	410	737	160	285	17	9	321	78	—	—	—	—	—	—
2010	26	AAA MLE	2 teams	—	542	491	107	15	10	4	29	114	8	13	3	218	273	314	586	96	273	21	5	257	60	—	—	—	—	—	—
2010	26	AAA RAW	2 teams	—	542	474	121	22	9	5	46	99	8	13	3	255	331	371	703	116	310	18	8	310	60	—	—	—	—	—	—
2011	27	AAA MLE	2 teams	—	478	416	122	26	9	21	32	104	13	13	3	293	362	550	913	257	345	22	7	362	131	—	—	—	—	—	—
2011	27	AAA RAW	2 teams	—	478	403	133	32	5	20	44	75	13	13	3	330	412	583	995	253	365	16	9	418	131	—	—	—	—	—	—
2012	28	AAA MLE	2 teams	—	676	598	156	22	5	5	49	128	19	20	12	261	336	339	676	79	322	19	7	313	98	—	—	—	—	—	—
2012	28	AAA RAW	2 teams	—	676	570	165	25	5	10	76	113	19	20	12	289	390	404	794	114	344	17	11	357	98	—	—	—	—	—	—
2013	29	AAA MLE	2 teams	—	416	370	75	12	2	4	14	93	16	11	1	203	263	278	541	76	258	22	3	239	48	—	—	—	—	—	—
2013	29	AAA RAW	2 teams	—	416	351	94	12	4	8	33	76	16	11	1	268	357	393	751	125	320	18	8	328	48	—	—	—	—	—	—
2014	30	AAA MLE	2 teams	—	621	560	160	26	11	6	35	112	2	24	14	286	330	404	734	118	345	18	6	304	92	—	—	—	—	—	—
2014	30	AAA RAW	2 teams	—	621	543	175	28	10	9	52	97	2	24	14	322	384	460	844	138	376	16	8	361	92	—	—	—	—	—	—
2015	31	AAA MLE	2 teams	—	355	311	86	10	0	2	23	69	3	10	1	277	332	328	660	51	344	19	6	289	82	—	—	—	—	—	—
2015	31	AAA RAW	2 teams	—	355	298	81	12	0	3	36	55	3	10	1	272	356	342	698	70	320	15	10	306	82	—	—	—	—	—	—
2016	32	AAA MLE	2 teams	—	465	418	92	10	1	6	33	122	4	13	5	220	284	292	575	72	292	26	7	256	59	—	—	—	—	—	—
2016	32	AAA RAW	2 teams	—	465	405	117	15	2	8	46	83	4	13	5	289	367	395	762	106	342	18	10	339	59	—	—	—	—	—	—
2017	33	AAA MLE	2 teams	—	543	491	113	25	3	5	21	127	15	10	4	230	283	324	607	94	296	23	4	261	63	—	—	—	—	—	—
2017	33	AAA RAW	2 teams	—	543	474	121	25	3	7	37	111	15	10	4	255	328	365	693	110	315	20	7	306	63	—	—	—	—	—	—
2018	34	INTL MLE	Tomateros de Culiacan	—	76	69	20	2	1	0	1	11	3	4	1	290	329	348	677	58	339	14	1	—	—	—	—	—	—	—	—
2018	34	INTL RAW	Tomateros de Culiacan	—	76	69	20	2	1	0	1	11	3	4	1	290	329	348	677	58	339	14	1	296	86	—	—	—	—	—	—
2019	35	AAA MLE	2 teams	—	487	422	113	20	1	12	36	88	19	12	6	268	352	405	757	137	313	18	7	326	107	—	—	—	—	—	—
2019	35	AAA RAW	2 teams	—	487	411	116	23	1	11	47	81	19	12	6	282	382	423	805	141	328	17	10	357	107	—	—	—	—	—	—
2020	36	INTL MLE	Venados de Mazatlan	—	131	115	30	8	1	4	9	15	4	1	2	261	336	452	788	191	265	11	7	—	—	—	—	—	—	—	—
2020	36	INTL RAW	Venados de Mazatlan	—	131	115	30	8	1	4	9	15	4	1	2	261	336	452	788	191	265	11	7	342	118	—	—	—	—	—	—
2021	37	INTL MLE	Venados de Mazatlan	—	99	79	23	4	0	4	17	12	2	0	1	291	429	494	922	203	297	12	17	—	—	—	—	—	—	—	—
2021	37	INTL RAW	Venados de Mazatlan	—	99	79	23	4	0	4	17	12	2	0	1	291	429	494	922	203	297	12	17	408	162	—	—	—	—	—	—
2022	38	INTL MLE	Naranjeros de Hermosillo	—	110	99	24	6	1	2	10	22	0	1	0	242	312	384	696	141	293	20	9	—	—	—	—	—	—	—	—
2022	38	INTL RAW	Naranjeros de Hermosillo	—	110	99	24	6	1	2	10	22	0	1	0	242	312	384	696	141	293	20	9	309	96	—	—	—	—	—	—
2006	22	ROK MLE	2 teams	—	73	69	7	2	0	1	4	26	0	0	0	101	151	174	325	72	135	36	5	162	-4	—	—	—	—	—	—
2007	23	A+ MLE	Lakeland Flying Tigers	—	371	342	95	16	2	1	24	58	2	14	1	278	340	345	685	67	327	16	6	299	88	—	—	—	—	—	—
2008	24	AA MLE	2 teams	—	356	320	93	7	3	0	31	90	2	16	7	291	363	331	694	41	395	25	9	314	98	—	—	—	—	—	—
2009	25	AA MLE	3 teams	—	336	308	71	12	5	6	21	72	4	6	3	231	294	360	654	130	278	21	6	283	78	—	—	—	—	—	—
2010	26	AAA MLE	2 teams	—	542	500	107	15	10	4	29	114	8	13	3	214	273	308	581	94	262	21	5	257	60	—	—	—	—	—	—
2011	27	AAA MLE	2 teams	—	478	430	122	26	9	21	32	104	13	13	3	284	362	533	895	249	319	22	7	362	131	—	—	—	—	—	—
2012	28	AAA MLE	2 teams	—	676	603	156	22	5	5	49	128	19	20	12	259	336	337	673	78	320	19	7	313	98	—	—	—	—	—	—
2013	29	AAA MLE	2 teams	—	416	383	75	12	2	4	14	93	16	11	1	196	263	269	531	73	243	22	3	239	48	—	—	—	—	—	—
2014	30	AAA MLE	2 teams	—	621	579	160	26	11	6	35	112	2	24	14	276	330	390	720	114	326	18	6	304	92	—	—	—	—	—	—
2015	31	AAA MLE	2 teams	—	355	326	86	10	0	2	23	69	3	10	1	264	332	313	645	49	324	19	6	289	82	—	—	—	—	—	—
2016	32	AAA MLE	2 teams	—	465	425	92	10	1	6	33	122	4	13	5	216	284	287	571	71	283	26	7	256	59	—	—	—	—	—	—
2017	33	AAA MLE	2 teams	—	543	502	113	25	3	5	21	127	15	10	4	225	283	317	599	92	282	23	4	261	63	—	—	—	—	—	—
2019	35	AAA MLE	2 teams	—	487	429	113	20	1	12	36	88	19	12	6	263	352	399	751	135	305	18	7	326	107	—	—	—	—	—	—
▸ Career Totals
Career	—	MLE		—	6135	5454	1387	223	55	83	389	1263	116	168	64	254	318	361	679	107	314	21	6	271	70	-221	+8	+0	+22	+133	-6.0
/ 162G	—	MLE		—	650	578	148	24	6	9	41	134	12	18	7	256	319	365	684	109	316	21	6	271	70	-23	+1	+0	+2	+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.

2019 AAAToros de Tijuana · 293 PAwOBA .408 → .326 (−83)K% 16.7% → 18.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.72%	÷1.111	×1.200	—	—	18.06%
BB% (unintentional) /PA	11.26%	÷1.007	×0.690	—	×0.940	7.26%
HBP% /PA	4.10%	—	×0.940	—	×0.940	3.62%
Singles /BIP	27.60%	÷0.989	×0.930	×0.950	×0.940	23.17%
Doubles /BIP	8.33%	÷1.051	×0.830	×0.950	×0.940	5.88%
Triples /BIP	0.52%	÷0.993	×0.920	×0.950	×0.940	0.43%
Home runs /BIP	5.21%	÷1.023	×0.700	—	×0.940	3.35%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 105, 1B 98, 2B 110, 3B 99, K 122, BB 101 — 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 ×0.950.

Result: wOBA .408 → .326; ISO .199 → .145; BABIP .385 → .305. 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 AAAPiratas de Campeche · 375 PAwOBA .318 → .261 (−57)K% 20.0% → 23.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.00%	÷1.024	×1.200	—	—	23.44%
BB% (unintentional) /PA	5.87%	÷0.986	×0.690	—	×0.942	3.87%
HBP% /PA	2.40%	—	×0.940	—	×0.942	2.13%
Singles /BIP	23.46%	÷1.003	×0.930	×1.024	×0.942	20.99%
Doubles /BIP	7.69%	÷0.953	×0.830	×1.024	×0.942	6.47%
Triples /BIP	0.77%	÷0.959	×0.920	×1.024	×0.942	0.71%
Home runs /BIP	2.69%	÷1.263	×0.700	—	×0.942	1.41%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 153, 1B 101, 2B 91, 3B 92, K 105, BB 97 — 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 ×1.024.

Result: wOBA .318 → .261; ISO .134 → .096; BABIP .324 → .282. 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 AAAPiratas de Campeche · 322 PAwOBA .319 → .256 (−63)K% 21.1% → 26.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.12%	÷0.966	×1.200	—	—	26.25%
BB% (unintentional) /PA	10.56%	÷0.984	×0.690	—	×0.952	7.05%
HBP% /PA	0.93%	—	×0.940	—	×0.952	0.83%
Singles /BIP	26.54%	÷0.989	×0.930	×1.030	×0.952	24.45%
Doubles /BIP	4.27%	÷1.075	×0.830	×1.030	×0.952	3.23%
Triples /BIP	0.47%	÷0.900	×0.920	×1.030	×0.952	0.47%
Home runs /BIP	3.32%	÷1.132	×0.700	—	×0.952	1.95%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 126, 1B 98, 2B 115, 3B 80, K 93, BB 97 — 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 ×1.030.

Result: wOBA .319 → .256; ISO .115 → .076; BABIP .319 → .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 AAAToros de Tijuana · 308 PAwOBA .319 → .289 (−30)K% 15.9% → 19.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.91%	÷0.978	×1.200	—	—	19.52%
BB% (unintentional) /PA	9.74%	÷1.013	×0.690	—	×0.962	6.38%
HBP% /PA	0.97%	—	×0.940	—	×0.962	0.88%
Singles /BIP	29.95%	÷0.982	×0.930	×1.049	×0.962	28.60%
Doubles /BIP	4.83%	÷1.026	×0.830	×1.049	×0.962	3.94%
Triples /BIP	0.00%	÷1.046	×0.920	×1.049	×0.962	0.00%
Home runs /BIP	1.45%	÷1.208	×0.700	—	×0.962	0.81%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 142, 1B 96, 2B 105, 3B 109, K 96, BB 103 — 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 ×1.049.

Result: wOBA .319 → .289; ISO .074 → .056; BABIP .348 → .324. 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 AAAPiratas de Campeche · 377 PAwOBA .367 → .304 (−63)K% 15.1% → 18.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.12%	÷1.008	×1.200	—	—	18.01%
BB% (unintentional) /PA	8.75%	÷1.055	×0.690	—	×0.972	5.56%
HBP% /PA	0.27%	—	×0.940	—	×0.972	0.24%
Singles /BIP	27.37%	÷0.995	×0.930	×0.992	×0.972	24.65%
Doubles /BIP	6.93%	÷1.010	×0.830	×0.992	×0.972	5.49%
Triples /BIP	2.92%	÷1.150	×0.920	×0.992	×0.972	2.25%
Home runs /BIP	2.19%	÷1.245	×0.700	—	×0.972	1.20%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 149, 1B 99, 2B 102, 3B 130, K 102, BB 111 — 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 ×0.992.

Result: wOBA .367 → .304; ISO .160 → .118; BABIP .378 → .326. 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 AAASultanes de Monterrey · 217 PAwOBA .273 → .239 (−35)K% 19.4% → 22.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.35%	÷1.039	×1.200	—	—	22.35%
BB% (unintentional) /PA	4.61%	÷0.952	×0.690	—	×0.982	3.28%
HBP% /PA	5.07%	—	×0.940	—	×0.982	4.68%
Singles /BIP	20.55%	÷0.991	×0.930	×1.029	×0.982	19.49%
Doubles /BIP	5.48%	÷1.140	×0.830	×1.029	×0.982	4.03%
Triples /BIP	0.68%	÷1.150	×0.920	×1.029	×0.982	0.55%
Home runs /BIP	2.05%	÷1.011	×0.700	—	×0.982	1.40%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 102, 1B 98, 2B 128, 3B 130, K 108, BB 90 — 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 ×1.029.

Result: wOBA .273 → .239; ISO .101 → .075; BABIP .271 → .243. 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 AAASultanes de Monterrey · 430 PAwOBA .361 → .313 (−49)K% 15.6% → 19.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.58%	÷0.984	×1.200	—	—	19.00%
BB% (unintentional) /PA	10.47%	÷0.984	×0.690	—	×0.992	7.28%
HBP% /PA	4.19%	—	×0.940	—	×0.992	3.90%
Singles /BIP	28.03%	÷1.015	×0.930	×1.030	×0.992	26.23%
Doubles /BIP	5.88%	÷1.092	×0.830	×1.030	×0.992	4.57%
Triples /BIP	1.38%	÷1.128	×0.920	×1.030	×0.992	1.15%
Home runs /BIP	1.73%	÷1.081	×0.700	—	×0.992	1.11%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 116, 1B 103, 2B 118, 3B 126, K 97, BB 97 — 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 ×1.030.

Result: wOBA .361 → .313; ISO .112 → .086; BABIP .355 → .320. 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 AAAPetroleros de Minatitlan · 243 PAwOBA .441 → .362 (−79)K% 17.7% → 21.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.70%	÷0.980	×1.200	—	—	21.66%
BB% (unintentional) /PA	10.70%	÷1.107	×0.690	—	×1.003	6.69%
HBP% /PA	1.23%	—	×0.940	—	×1.003	1.16%
Singles /BIP	21.60%	÷1.059	×0.930	×1.036	×1.003	19.71%
Doubles /BIP	9.88%	÷1.085	×0.830	×1.036	×1.003	7.85%
Triples /BIP	3.09%	÷1.150	×0.920	×1.036	×1.003	2.57%
Home runs /BIP	8.64%	÷0.988	×0.700	—	×1.003	6.14%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 98, 1B 112, 2B 117, 3B 130, K 96, BB 121 — 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 ×1.036.

Result: wOBA .441 → .362; ISO .332 → .262; BABIP .376 → .319. 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 — .