Issmael Salas

Pos3B

B/TR/R

Born1982-07-25

Age (2027)45

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	38	INTLYaquis de Obr…	106	.216/.330/.318	1	1	85	—
2021	39	INTLSultanes de M…	227	.274/.359/.421	5	1	119	—
2022	40	INTLSultanes de M…	115	.204/.246/.296	2	0	51	—

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)
2005	23	A+	Daytona Cubs	—	281	254	67	17	2	10	14	42	6	1	0	264	318	465	782	201	278	15	5	336	80	—	—	—	—	—	—
2006	24	A+	Daytona Cubs	—	92	83	26	8	0	0	7	16	1	1	1	313	374	410	783	96	388	17	8	350	91	—	—	—	—	—	—
2007	25	AA	Tennessee Smokies	—	387	344	85	19	0	8	27	36	5	2	2	247	311	372	683	125	254	9	7	300	63	—	—	—	—	—	—
2008	26	AAA	Acereros del Norte	—	121	112	41	4	2	0	3	11	3	3	2	366	398	438	836	71	406	9	2	366	123	—	—	—	—	—	—
2008	26	AA	Tennessee Smokies	—	75	66	15	4	0	0	6	5	0	3	0	227	292	288	580	61	246	7	8	257	45	—	—	—	—	—	—
2009	27	AAA	Acereros del Norte	—	372	311	98	16	0	8	34	33	4	8	4	315	390	444	833	129	324	9	9	352	103	—	—	—	—	—	—
2010	28	AAA	Acereros del Norte	—	354	316	92	23	1	8	27	48	4	7	3	291	354	446	801	155	323	14	8	350	80	—	—	—	—	—	—
2011	29	AAA	Saraperos de Saltillo	—	347	291	82	17	2	6	46	42	1	6	3	282	382	416	797	134	310	12	13	351	76	—	—	—	—	—	—
2011	29	INTL	Aguilas de Mexicali	—	249	219	63	12	1	13	15	36	7	4	1	288	353	530	882	242	287	14	6	374	139	—	—	—	—	—	—
2012	30	AAA	Saraperos de Saltillo	—	385	339	113	23	1	19	28	59	7	4	1	333	396	575	971	242	355	15	7	412	101	—	—	—	—	—	—
2012	30	INTL	Venados de Mazatlan	—	235	204	60	10	0	10	23	34	3	1	2	294	374	490	864	196	309	14	10	375	140	—	—	—	—	—	—
2013	31	AAA	Saraperos de Saltillo	—	174	150	40	13	1	3	13	27	2	1	0	267	333	427	760	160	301	16	7	321	66	—	—	—	—	—	—
2013	31	INTL	Venados de Mazatlan	—	259	231	64	11	0	4	16	38	4	4	2	277	335	377	711	100	308	15	6	312	98	—	—	—	—	—	—
2014	32	AAA	Rojos del Aguila de Veracruz	—	466	413	108	18	0	5	35	58	4	3	0	262	325	341	667	80	290	12	8	296	54	—	—	—	—	—	—
2014	32	INTL	Mexico	—	264	228	61	11	0	6	24	33	4	7	4	268	348	395	742	127	288	12	9	326	107	—	—	—	—	—	—
2015	33	AAA	Rojos del Aguila de Veracruz	—	327	279	88	18	0	9	29	42	5	6	4	315	390	477	866	161	331	13	9	370	94	—	—	—	—	—	—
2015	33	INTL	Tomateros de Culiacan	—	112	105	30	1	0	1	4	17	0	0	1	286	312	324	636	38	330	15	4	281	76	—	—	—	—	—	—
2016	34	AAA	Pericos de Puebla	—	330	300	89	26	0	8	22	40	2	2	3	297	349	463	812	167	318	12	7	353	65	—	—	—	—	—	—
2016	34	INTL	Tomateros de Culiacan	—	243	219	62	13	0	2	14	26	3	0	2	283	335	370	705	87	311	11	6	310	96	—	—	—	—	—	—
2017	35	AAA	Pericos de Puebla	—	428	376	109	20	0	9	39	37	8	3	1	290	369	415	784	125	299	9	9	350	71	—	—	—	—	—	—
2017	35	INTL	Mexico	—	213	190	44	6	0	2	17	21	2	2	3	232	301	295	596	63	250	10	8	271	70	—	—	—	—	—	—
2018	36	INTL	Tomateros de Culiacan	—	224	203	56	2	0	9	16	31	1	1	0	276	332	419	751	143	287	14	7	330	109	—	—	—	—	—	—
2019	37	AAA	Pericos de Puebla	—	378	343	105	20	0	14	25	42	2	1	3	306	357	487	844	181	310	11	7	365	70	—	—	—	—	—	—
2019	37	INTL	Venados de Mazatlan	—	257	221	56	14	0	3	22	27	6	0	3	253	337	357	695	104	270	11	9	308	95	—	—	—	—	—	—
2020	38	INTL	Yaquis de Obregon	—	106	88	19	4	1	1	12	16	3	1	1	216	330	318	648	102	243	15	11	294	85	—	—	—	—	—	—
2021	39	INTL	Sultanes de Monterrey	—	227	197	54	14	0	5	24	24	2	1	0	274	359	421	780	147	288	11	11	345	119	—	—	—	—	—	—
2022	40	INTL	Sultanes de Monterrey	—	115	108	22	4	0	2	5	22	1	0	0	204	246	296	542	93	235	19	4	243	51	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2005	23	A+ MLE	Daytona Cubs	—	281	258	60	16	2	9	10	60	6	1	0	233	277	415	692	182	254	21	4	287	80	—	—	—	—	—	—
2006	24	A+ MLE	Daytona Cubs	—	92	85	24	8	0	0	5	23	1	1	1	282	330	376	706	94	375	25	5	303	91	—	—	—	—	—	—
2007	25	AA MLE	Tennessee Smokies	—	387	353	81	18	0	7	18	44	5	2	2	229	277	340	617	110	232	11	5	261	63	—	—	—	—	—	—
2008	26	AAA MLE	Acereros del Norte	—	121	113	41	4	2	0	2	13	3	3	2	363	390	434	823	71	399	11	2	350	123	—	—	—	—	—	—
2008	26	AA MLE	Tennessee Smokies	—	75	68	15	4	0	0	4	6	0	3	0	221	264	279	543	59	234	8	5	235	45	—	—	—	—	—	—
2009	27	AAA MLE	Acereros del Norte	—	372	322	97	15	0	6	23	39	4	8	4	301	355	404	759	102	295	10	6	320	103	—	—	—	—	—	—
2010	28	AAA MLE	Acereros del Norte	—	354	326	84	20	1	5	17	59	4	7	3	258	303	371	674	113	291	17	5	287	80	—	—	—	—	—	—
2011	29	AAA MLE	Saraperos de Saltillo	—	347	309	73	14	2	5	28	53	1	6	3	236	302	343	645	107	260	15	8	280	76	—	—	—	—	—	—
2012	30	AAA MLE	Saraperos de Saltillo	—	385	350	94	19	1	13	17	76	7	4	1	269	316	440	756	171	291	20	4	318	101	—	—	—	—	—	—
2013	31	AAA MLE	Saraperos de Saltillo	—	174	154	36	12	1	2	9	34	2	1	0	234	285	364	648	130	254	20	5	266	66	—	—	—	—	—	—
2014	32	AAA MLE	Rojos del Aguila de Veracruz	—	466	426	98	16	0	3	22	70	4	3	0	230	274	289	563	59	256	15	5	248	54	—	—	—	—	—	—
2015	33	AAA MLE	Rojos del Aguila de Veracruz	—	327	293	79	14	0	7	15	50	5	6	4	270	316	389	705	119	275	15	5	307	94	—	—	—	—	—	—
2016	34	AAA MLE	Pericos de Puebla	—	330	310	72	20	0	5	12	52	2	2	3	232	265	345	611	113	256	16	4	265	65	—	—	—	—	—	—
2017	35	AAA MLE	Pericos de Puebla	—	428	391	91	17	0	7	24	48	8	3	1	233	291	330	621	97	243	11	6	273	71	—	—	—	—	—	—
2019	37	AAA MLE	Pericos de Puebla	—	378	353	84	16	0	8	15	52	2	1	3	238	273	351	624	113	246	14	4	272	70	—	—	—	—	—	—
2005	23	A+ MLE	Daytona Cubs	—	281	258	60	16	2	9	10	60	6	1	0	233	277	415	692	182	266	21	4	287	80	—	—	—	—	—	—
2005	23	A+ RAW	Daytona Cubs	—	281	254	67	17	2	10	14	42	6	1	0	264	318	465	782	201	278	15	5	336	80	—	—	—	—	—	—
2006	24	A+ MLE	Daytona Cubs	—	92	85	24	8	0	0	5	23	1	1	1	282	330	376	706	94	387	25	5	303	91	—	—	—	—	—	—
2006	24	A+ RAW	Daytona Cubs	—	92	83	26	8	0	0	7	16	1	1	1	313	374	410	783	96	388	17	8	350	91	—	—	—	—	—	—
2007	25	AA MLE	Tennessee Smokies	—	387	353	81	18	0	7	18	44	5	2	2	229	277	340	617	110	243	11	5	261	63	—	—	—	—	—	—
2007	25	AA RAW	Tennessee Smokies	—	387	344	85	19	0	8	27	36	5	2	2	247	311	372	683	125	254	9	7	300	63	—	—	—	—	—	—
2008	26	AAA MLE	2 teams	—	196	181	57	8	2	0	6	19	3	6	2	315	347	381	729	66	352	10	3	306	93	—	—	—	—	—	—
2008	26	AAA RAW	2 teams	—	196	178	56	8	2	0	9	16	3	6	2	315	358	382	740	67	346	8	5	325	93	—	—	—	—	—	—
2009	27	AAA MLE	Acereros del Norte	—	372	322	97	15	0	6	23	39	4	8	4	301	355	404	759	102	319	10	6	320	103	—	—	—	—	—	—
2009	27	AAA RAW	Acereros del Norte	—	372	311	98	16	0	8	34	33	4	8	4	315	390	444	833	129	324	9	9	352	103	—	—	—	—	—	—
2010	28	AAA MLE	Acereros del Norte	—	354	326	84	20	1	5	17	59	4	7	3	258	303	371	674	113	302	17	5	287	80	—	—	—	—	—	—
2010	28	AAA RAW	Acereros del Norte	—	354	316	92	23	1	8	27	48	4	7	3	291	354	446	801	155	323	14	8	350	80	—	—	—	—	—	—
2011	29	AAA MLE	2 teams	—	596	523	126	25	3	8	48	91	8	10	4	241	314	346	660	105	274	15	8	280	76	—	—	—	—	—	—
2011	29	AAA RAW	2 teams	—	596	510	145	29	3	19	61	78	8	10	4	284	370	465	834	180	301	13	10	361	76	—	—	—	—	—	—
2012	30	AAA MLE	2 teams	—	620	567	152	30	1	22	27	123	10	5	3	268	313	441	754	173	304	20	4	318	101	—	—	—	—	—	—
2012	30	AAA RAW	2 teams	—	620	543	173	33	1	29	51	93	10	5	3	319	387	543	931	225	337	15	8	398	101	—	—	—	—	—	—
2013	31	INTL MLE	2 teams	—	433	387	88	29	2	5	23	84	6	5	2	227	281	351	633	124	270	19	5	266	66	—	—	—	—	—	—
2013	31	INTL RAW	2 teams	—	433	381	104	24	1	7	29	65	6	5	2	273	334	396	730	123	305	15	7	316	66	—	—	—	—	—	—
2014	32	AAA MLE	2 teams	—	730	666	154	25	0	5	34	110	8	10	4	231	277	291	568	60	267	15	5	248	54	—	—	—	—	—	—
2014	32	AAA RAW	2 teams	—	730	641	169	29	0	11	59	91	8	10	4	264	333	360	694	97	289	12	8	307	54	—	—	—	—	—	—
2015	33	AAA MLE	2 teams	—	439	397	106	19	0	9	20	67	5	6	5	267	310	383	693	116	291	15	5	307	94	—	—	—	—	—	—
2015	33	AAA RAW	2 teams	—	439	384	118	19	0	10	33	59	5	6	5	307	370	435	805	128	330	13	8	347	94	—	—	—	—	—	—
2016	34	AAA MLE	2 teams	—	573	534	125	34	0	9	21	91	5	2	5	234	270	348	618	114	264	16	4	265	65	—	—	—	—	—	—
2016	34	AAA RAW	2 teams	—	573	519	151	39	0	10	36	66	5	2	5	291	343	424	767	133	315	12	6	335	65	—	—	—	—	—	—
2017	35	AAA MLE	2 teams	—	641	586	136	25	0	10	36	72	10	5	4	232	288	326	614	94	248	11	6	273	71	—	—	—	—	—	—
2017	35	AAA RAW	2 teams	—	641	566	153	26	0	11	56	58	10	5	4	270	347	375	721	104	283	9	9	324	71	—	—	—	—	—	—
2018	36	INTL MLE	Tomateros de Culiacan	—	224	203	56	2	0	9	16	31	1	1	0	276	332	419	751	143	287	14	7	—	—	—	—	—	—	—	—
2018	36	INTL RAW	Tomateros de Culiacan	—	224	203	56	2	0	9	16	31	1	1	0	276	332	419	751	143	287	14	7	330	109	—	—	—	—	—	—
2019	37	AAA MLE	2 teams	—	635	586	142	27	0	14	25	87	8	1	6	242	283	360	643	118	258	14	4	272	70	—	—	—	—	—	—
2019	37	AAA RAW	2 teams	—	635	564	161	34	0	17	47	69	8	1	6	285	349	436	785	151	294	11	7	342	70	—	—	—	—	—	—
2020	38	INTL MLE	Yaquis de Obregon	—	106	88	19	4	1	1	12	16	3	1	1	216	330	318	648	102	243	15	11	—	—	—	—	—	—	—	—
2020	38	INTL RAW	Yaquis de Obregon	—	106	88	19	4	1	1	12	16	3	1	1	216	330	318	648	102	243	15	11	294	85	—	—	—	—	—	—
2021	39	INTL MLE	Sultanes de Monterrey	—	227	197	54	14	0	5	24	24	2	1	0	274	359	421	780	147	288	11	11	—	—	—	—	—	—	—	—
2021	39	INTL RAW	Sultanes de Monterrey	—	227	197	54	14	0	5	24	24	2	1	0	274	359	421	780	147	288	11	11	345	119	—	—	—	—	—	—
2022	40	INTL MLE	Sultanes de Monterrey	—	115	108	22	4	0	2	5	22	1	0	0	204	246	296	542	93	235	19	4	—	—	—	—	—	—	—	—
2022	40	INTL RAW	Sultanes de Monterrey	—	115	108	22	4	0	2	5	22	1	0	0	204	246	296	542	93	235	19	4	243	51	—	—	—	—	—	—
2005	23	A+ MLE	Daytona Cubs	—	281	263	60	16	2	9	10	60	6	1	0	228	277	407	684	179	254	21	4	287	80	—	—	—	—	—	—
2006	24	A+ MLE	Daytona Cubs	—	92	86	24	8	0	0	5	23	1	1	1	279	330	372	702	93	375	25	5	303	91	—	—	—	—	—	—
2007	25	AA MLE	Tennessee Smokies	—	387	361	81	18	0	7	18	44	5	2	2	224	277	332	609	108	232	11	5	261	63	—	—	—	—	—	—
2008	26	AAA MLE	2 teams	—	196	185	57	8	2	0	6	19	3	6	2	308	347	373	720	65	336	10	3	306	93	—	—	—	—	—	—
2009	27	AAA MLE	Acereros del Norte	—	372	342	97	15	0	6	23	39	4	8	4	284	355	380	735	96	295	10	6	320	103	—	—	—	—	—	—
2010	28	AAA MLE	Acereros del Norte	—	354	330	84	20	1	5	17	59	4	7	3	255	303	367	669	112	291	17	5	287	80	—	—	—	—	—	—
2011	29	AAA MLE	2 teams	—	596	535	126	25	3	8	48	91	8	10	4	236	314	338	653	103	260	15	8	280	76	—	—	—	—	—	—
2012	30	AAA MLE	2 teams	—	620	578	152	30	1	22	27	123	10	5	3	263	313	433	745	170	291	20	4	318	101	—	—	—	—	—	—
2013	31	INTL MLE	2 teams	—	433	401	88	29	2	5	23	84	6	5	2	219	281	339	620	120	254	19	5	266	66	—	—	—	—	—	—
2014	32	AAA MLE	2 teams	—	730	682	154	25	0	5	34	110	8	10	4	226	277	284	561	59	256	15	5	248	54	—	—	—	—	—	—
2015	33	AAA MLE	2 teams	—	439	411	106	19	0	9	20	67	5	6	5	258	310	370	680	112	275	15	5	307	94	—	—	—	—	—	—
2016	34	AAA MLE	2 teams	—	573	542	125	34	0	9	21	91	5	2	5	231	270	343	613	113	256	16	4	265	65	—	—	—	—	—	—
2017	35	AAA MLE	2 teams	—	641	590	136	25	0	10	36	72	10	5	4	231	288	324	612	93	243	11	6	273	71	—	—	—	—	—	—
2019	37	AAA MLE	2 teams	—	635	597	142	27	0	14	25	87	8	1	6	238	283	353	636	116	246	14	4	272	70	—	—	—	—	—	—
▸ Career Totals
Career	—	MLE		—	7021	6367	1583	323	12	126	370	1062	90	72	46	249	299	362	662	114	277	15	5	254	58	-349	-4	+0	+25	+152	-18.0
/ 162G	—	MLE		—	650	589	147	30	1	12	34	98	8	7	4	250	299	365	664	115	277	15	5	254	58	-32	-0	+0	+2	+14	-1.6

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 AAAPericos de Puebla · 378 PAwOBA .361 → .272 (−88)K% 11.1% → 13.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	11.11%	÷0.970	×1.200	—	—	13.74%
BB% (unintentional) /PA	6.35%	÷1.043	×0.690	—	×0.940	3.95%
HBP% /PA	0.53%	—	×0.940	—	×0.940	0.47%
Singles /BIP	23.59%	÷1.008	×0.930	×0.950	×0.940	19.43%
Doubles /BIP	6.64%	÷0.964	×0.830	×0.950	×0.940	5.11%
Triples /BIP	0.00%	÷1.150	×0.920	×0.950	×0.940	0.00%
Home runs /BIP	4.65%	÷1.144	×0.700	—	×0.940	2.67%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 129, 1B 102, 2B 93, 3B 130, K 94, BB 109 — applied at half strength. Age: age 37 vs a level average of 27.2 → −6.0% on BB/HBP/hit rates (9.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .361 → .272; ISO .181 → .118; BABIP .310 → .246. 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 AAAPericos de Puebla · 428 PAwOBA .344 → .273 (−71)K% 8.6% → 11.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	8.64%	÷0.920	×1.200	—	—	11.28%
BB% (unintentional) /PA	8.88%	÷1.033	×0.690	—	×0.940	5.57%
HBP% /PA	1.87%	—	×0.940	—	×0.940	1.65%
Singles /BIP	23.60%	÷1.055	×0.930	×0.989	×0.940	19.34%
Doubles /BIP	5.90%	÷0.946	×0.830	×0.989	×0.940	4.81%
Triples /BIP	0.00%	÷1.114	×0.920	×0.989	×0.940	0.00%
Home runs /BIP	2.65%	÷0.910	×0.700	—	×0.940	1.92%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 82, 1B 111, 2B 89, 3B 123, K 84, BB 107 — 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 ×0.989.

Result: wOBA .344 → .273; ISO .125 → .098; BABIP .299 → .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).

2016 AAAPericos de Puebla · 330 PAwOBA .345 → .265 (−80)K% 12.1% → 15.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.12%	÷0.921	×1.200	—	—	15.80%
BB% (unintentional) /PA	6.06%	÷1.091	×0.690	—	×0.940	3.60%
HBP% /PA	0.61%	—	×0.940	—	×0.940	0.54%
Singles /BIP	21.15%	÷1.048	×0.930	×1.018	×0.940	17.97%
Doubles /BIP	10.00%	÷1.075	×0.830	×1.018	×0.940	7.39%
Triples /BIP	0.00%	÷1.008	×0.920	×1.018	×0.940	0.00%
Home runs /BIP	3.08%	÷1.024	×0.700	—	×0.940	1.98%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 105, 1B 110, 2B 115, 3B 102, K 84, BB 118 — 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 ×1.018.

Result: wOBA .345 → .265; ISO .167 → .117; BABIP .318 → .256. 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 AAARojos del Aguila de Veracruz · 327 PAwOBA .370 → .307 (−63)K% 12.8% → 15.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.84%	÷1.009	×1.200	—	—	15.28%
BB% (unintentional) /PA	7.95%	÷1.121	×0.690	—	×0.942	4.61%
HBP% /PA	1.53%	—	×0.940	—	×0.942	1.35%
Singles /BIP	25.74%	÷0.998	×0.930	×0.992	×0.942	22.43%
Doubles /BIP	7.59%	÷1.074	×0.830	×0.992	×0.942	5.49%
Triples /BIP	0.00%	÷0.900	×0.920	×0.992	×0.942	0.00%
Home runs /BIP	3.80%	÷0.920	×0.700	—	×0.942	2.72%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 84, 1B 100, 2B 115, 3B 80, K 102, BB 124 — 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 ×0.992.

Result: wOBA .370 → .307; ISO .161 → .126; BABIP .331 → .275. 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 AAARojos del Aguila de Veracruz · 466 PAwOBA .291 → .248 (−43)K% 12.4% → 15.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.45%	÷0.988	×1.200	—	—	15.11%
BB% (unintentional) /PA	7.51%	÷1.041	×0.690	—	×0.952	4.74%
HBP% /PA	0.86%	—	×0.940	—	×0.952	0.77%
Singles /BIP	23.94%	÷1.005	×0.930	×1.015	×0.952	21.42%
Doubles /BIP	5.07%	÷0.945	×0.830	×1.015	×0.952	4.30%
Triples /BIP	0.00%	÷1.000	×0.920	×1.015	×0.952	0.00%
Home runs /BIP	1.41%	÷1.006	×0.700	—	×0.952	0.93%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 101, 1B 101, 2B 89, 3B 100, K 98, BB 108 — 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 ×1.015.

Result: wOBA .291 → .248; ISO .080 → .064; BABIP .290 → .256. 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 AAASaraperos de Saltillo · 174 PAwOBA .318 → .266 (−53)K% 15.5% → 19.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.52%	÷0.967	×1.200	—	—	19.26%
BB% (unintentional) /PA	7.47%	÷0.937	×0.690	—	×0.962	5.29%
HBP% /PA	1.15%	—	×0.940	—	×0.962	1.04%
Singles /BIP	18.70%	÷1.057	×0.930	×1.013	×0.962	16.04%
Doubles /BIP	10.57%	÷0.956	×0.830	×1.013	×0.962	8.94%
Triples /BIP	0.81%	÷1.150	×0.920	×1.013	×0.962	0.63%
Home runs /BIP	2.44%	÷1.129	×0.700	—	×0.962	1.45%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 126, 1B 111, 2B 91, 3B 130, K 93, BB 87 — 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 ×1.013.

Result: wOBA .318 → .266; ISO .160 → .126; BABIP .301 → .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).

2012 AAASaraperos de Saltillo · 385 PAwOBA .405 → .318 (−87)K% 15.3% → 19.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.32%	÷0.928	×1.200	—	—	19.82%
BB% (unintentional) /PA	7.27%	÷1.136	×0.690	—	×0.972	4.29%
HBP% /PA	1.82%	—	×0.940	—	×0.972	1.66%
Singles /BIP	25.00%	÷1.036	×0.930	×0.982	×0.972	21.42%
Doubles /BIP	8.21%	÷1.003	×0.830	×0.982	×0.972	6.49%
Triples /BIP	0.36%	÷1.150	×0.920	×0.982	×0.972	0.27%
Home runs /BIP	6.79%	÷0.984	×0.700	—	×0.972	4.69%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 97, 1B 107, 2B 101, 3B 130, K 86, BB 127 — 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 ×0.982.

Result: wOBA .405 → .318; ISO .242 → .178; BABIP .355 → .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 AAASaraperos de Saltillo · 347 PAwOBA .344 → .280 (−64)K% 12.1% → 15.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.10%	÷0.956	×1.200	—	—	15.19%
BB% (unintentional) /PA	12.97%	÷1.079	×0.690	—	×0.982	8.14%
HBP% /PA	0.29%	—	×0.940	—	×0.982	0.27%
Singles /BIP	22.89%	÷1.049	×0.930	×0.987	×0.982	19.67%
Doubles /BIP	6.83%	÷1.008	×0.830	×0.987	×0.982	5.45%
Triples /BIP	0.80%	÷1.150	×0.920	×0.987	×0.982	0.62%
Home runs /BIP	2.41%	÷0.920	×0.700	—	×0.982	1.80%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 84, 1B 110, 2B 102, 3B 130, K 91, BB 116 — 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 ×0.987.

Result: wOBA .344 → .280; ISO .134 → .110; BABIP .310 → .260. 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 — .