Leo Heras

PosOF

B/TL/R

Born1990-05-29

Age (2027)37

No MLB projection yet. Career stats below are historical.

Overview

INTLPROSPECT

MLB%20%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR
2024	34	INTLAguilas de Me…	171	.236/.333/.389	3	7	99	—
2025	35	INTLMexico Rojo	258	.306/.466/.606	14	9	191	—
2026	36	INTLAlgodoneros d…	51	.231/.400/.436	2	1	138	—

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)
2007	17	AAA	Potros de Tijuana	—	22	21	4	0	0	0	1	6	0	0	0	190	227	190	418		267	27	5	196	1	—	—	—	—	—	—
2008	18	AAA	Potros de Tijuana	—	317	280	76	20	7	2	21	51	1	9	5	271	325	414	739	143	323	16	7	313	88	—	—	—	—	—	—
2009	19	AAA	Broncos de Reynosa	—	486	442	146	21	10	1	30	57	3	13	10	330	377	430	807	100	377	12	6	353	116	—	—	—	—	—	—
2010	20	AAA	Broncos de Reynosa	—	462	399	126	15	8	4	42	45	3	11	5	316	385	424	809	108	342	10	9	350	110	—	—	—	—	—	—
2010	20	INTL	Mexico	—	277	251	76	11	5	10	18	34	2	9	3	303	354	506	860	203	319	12	6	369	136	—	—	—	—	—	—
2011	21	AAA	Diablos Rojos del Mexico	—	497	444	152	16	8	18	38	48	5	25	9	342	400	536	936	194	353	10	8	404	118	—	—	—	—	—	—
2011	21	INTL	Algodoneros de Guasave	—	245	216	57	8	2	4	19	39	1	7	2	264	326	375	701	111	305	16	8	305	93	—	—	—	—	—	—
2012	22	AAA	Diablos Rojos del Mexico	—	521	455	147	18	8	24	53	83	6	17	7	323	401	556	957	233	350	16	10	413	114	—	—	—	—	—	—
2013	23	AAA	Diablos Rojos del Mexico	—	392	334	104	19	9	11	49	72	2	14	6	311	403	521	924	210	368	18	12	399	103	—	—	—	—	—	—
2013	23	AA	Corpus Christi Hooks	—	48	39	8	2	1	1	8	11	1	1	0	205	354	385	739	179	259	23	17	338	66	—	—	—	—	—	—
2013	23	INTL	Algodoneros de Guasave	—	225	188	50	7	1	3	25	28	2	9	1	266	358	362	720	96	297	12	11	316	100	—	—	—	—	—	—
2014	24	AA	Corpus Christi Hooks	—	375	313	74	13	6	5	52	58	5	19	4	236	354	364	718	128	276	15	14	325	75	—	—	—	—	—	—
2014	24	INTL	Charros de Jalisco	—	290	228	66	20	2	9	55	58	2	14	4	289	432	513	945	224	350	20	19	411	164	—	—	—	—	—	—
2015	25	AAA	Fresno Grizzlies	—	35	31	6	1	1	0	2	11	1	0	0	194	265	290	555	97	300	31	6	247	22	—	—	—	—	—	—
2015	25	AA	Corpus Christi Hooks	—	302	262	64	14	2	5	35	50	1	13	1	244	336	370	706	126	281	17	12	317	63	—	—	—	—	—	—
2015	25	INTL	Yaquis de Obregon	—	180	146	44	9	2	5	26	35	1	8	3	301	410	493	904	192	368	19	14	386	147	—	—	—	—	—	—
2016	26	AAA	Diablos Rojos del Mexico	—	219	182	51	5	3	4	33	55	0	8	5	280	391	407	797	126	379	25	15	356	73	—	—	—	—	—	—
2016	26	INTL	Yaquis de Obregon	—	281	237	62	9	8	6	38	55	2	10	2	262	368	443	811	181	318	20	14	357	128	—	—	—	—	—	—
2017	27	AAA	Leones de Yucatan	—	408	355	104	21	10	3	46	75	2	18	9	293	377	434	811	141	359	18	11	358	94	—	—	—	—	—	—
2017	27	INTL	Yaquis de Obregon	—	200	178	45	9	1	0	20	40	2	6	2	253	335	315	650	62	326	20	10	301	90	—	—	—	—	—	—
2018	28	INTL	Yaquis de Obregon	—	203	174	41	10	2	5	29	45	0	6	2	236	345	402	747	167	290	22	14	337	114	—	—	—	—	—	—
2019	29	AAA	Leones de Yucatan	—	433	349	97	17	4	15	68	82	3	12	4	278	400	479	879	201	318	19	16	380	103	—	—	—	—	—	—
2019	29	INTL	Aguilas de Mexicali	—	220	192	45	2	0	1	23	51	1	12	4	234	319	260	580	26	314	23	10	270	69	—	—	—	—	—	—
2020	30	INTL	Aguilas de Mexicali	—	85	73	21	5	0	3	12	21	0	3	1	288	388	479	868	192	367	25	14	386	147	—	—	—	—	—	—
2021	31	INTL	Aguilas de Mexicali	—	256	208	49	9	2	4	42	49	2	7	2	236	369	356	725	120	290	19	16	331	110	—	—	—	—	—	—
2022	32	INTL	Aguilas de Mexicali	—	208	172	47	4	5	2	32	41	2	8	6	273	393	390	783	116	344	20	15	355	126	—	—	—	—	—	—
2023	33	INTL	Aguilas de Mexicali	—	202	170	35	10	4	3	26	39	0	6	0	206	311	365	676	159	250	19	13	297	87	—	—	—	—	—	—
2024	34	INTL	Aguilas de Mexicali	—	171	144	34	7	3	3	21	38	0	7	2	236	333	389	722	153	295	22	12	314	99	—	—	—	—	—	—
2025	35	INTL	Mexico Rojo	—	258	193	59	10	3	14	57	52	1	9	4	306	466	606	1.072	301	346	20	22	451	191	—	—	—	—	—	—
2026	36	INTL	Algodoneros de Guasave	—	51	39	9	2	0	2	10	8	1	1	1	231	400	436	836	205	241	16	20	372	138	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2007	17	AAA MLE	Potros de Tijuana	—	22	21	4	0	0	0	1	7	0	0	0	190	227	190	418		260	32	5	169	1	—	—	—	—	—	—
2008	18	AAA MLE	Potros de Tijuana	—	317	286	78	19	7	2	15	61	1	9	5	273	311	409	720	136	321	19	5	299	88	—	—	—	—	—	—
2009	19	AAA MLE	Broncos de Reynosa	—	486	451	151	20	10	1	21	69	3	13	10	335	368	430	799	95	380	14	4	339	116	—	—	—	—	—	—
2010	20	AAA MLE	Broncos de Reynosa	—	462	416	129	14	7	3	25	52	3	11	5	310	354	399	753	89	330	11	5	331	110	—	—	—	—	—	—
2011	21	AAA MLE	Diablos Rojos del Mexico	—	497	455	140	12	7	12	27	58	5	25	9	308	353	444	797	136	324	12	5	342	118	—	—	—	—	—	—
2012	22	AAA MLE	Diablos Rojos del Mexico	—	521	472	132	16	7	17	36	99	6	17	7	280	339	451	790	172	313	19	7	336	114	—	—	—	—	—	—
2013	23	AAA MLE	Diablos Rojos del Mexico	—	392	351	95	15	8	6	32	94	2	14	6	271	335	410	745	140	339	24	8	321	103	—	—	—	—	—	—
2013	23	AA MLE	Corpus Christi Hooks	—	48	42	8	2	1	1	5	13	1	1	0	190	292	357	649	167	232	27	10	266	66	—	—	—	—	—	—
2014	24	AA MLE	Corpus Christi Hooks	—	375	328	71	13	7	4	37	72	5	19	4	216	305	335	641	119	256	19	10	279	75	—	—	—	—	—	—
2015	25	AAA MLE	Fresno Grizzlies	—	35	32	6	1	1	0	1	14	1	0	0	188	235	281	517	94	272	40	3	200	22	—	—	—	—	—	—
2015	25	AA MLE	Corpus Christi Hooks	—	302	274	58	12	2	4	23	63	1	13	1	212	275	314	589	102	253	21	8	262	63	—	—	—	—	—	—
2016	26	AAA MLE	Diablos Rojos del Mexico	—	219	192	44	4	2	2	23	74	0	8	5	229	312	302	614	73	345	34	11	276	73	—	—	—	—	—	—
2017	27	AAA MLE	Leones de Yucatan	—	408	372	97	17	11	2	29	89	2	18	9	261	318	382	699	121	327	22	7	307	94	—	—	—	—	—	—
2019	29	AAA MLE	Leones de Yucatan	—	433	370	90	16	3	14	47	97	3	12	4	243	333	416	750	173	273	22	11	321	103	—	—	—	—	—	—
2007	17	AAA MLE	Potros de Tijuana	—	22	21	4	0	0	0	1	7	0	0	0	190	227	190	418		286	32	5	169	1	—	—	—	—	—	—
2007	17	AAA RAW	Potros de Tijuana	—	22	21	4	0	0	0	1	6	0	0	0	190	227	190	418		267	27	5	196	1	—	—	—	—	—	—
2008	18	AAA MLE	Potros de Tijuana	—	317	286	78	19	7	2	15	61	1	9	5	273	311	409	720	136	338	19	5	299	88	—	—	—	—	—	—
2008	18	AAA RAW	Potros de Tijuana	—	317	280	76	20	7	2	21	51	1	9	5	271	325	414	739	143	323	16	7	313	88	—	—	—	—	—	—
2009	19	AAA MLE	Broncos de Reynosa	—	486	451	151	20	10	1	21	69	3	13	10	335	368	430	799	95	393	14	4	339	116	—	—	—	—	—	—
2009	19	AAA RAW	Broncos de Reynosa	—	486	442	146	21	10	1	30	57	3	13	10	330	377	430	807	100	377	12	6	353	116	—	—	—	—	—	—
2010	20	AAA MLE	2 teams	—	739	670	210	23	12	6	40	84	5	20	8	313	357	410	767	97	348	11	5	331	110	—	—	—	—	—	—
2010	20	AAA RAW	2 teams	—	739	650	202	26	13	14	60	79	5	20	8	311	373	455	829	145	333	11	8	357	110	—	—	—	—	—	—
2011	21	AAA MLE	2 teams	—	742	677	209	18	10	18	40	87	6	32	11	309	353	445	797	136	332	12	5	342	118	—	—	—	—	—	—
2011	21	AAA RAW	2 teams	—	742	660	209	24	10	22	57	87	6	32	11	317	376	483	860	167	338	12	8	371	118	—	—	—	—	—	—
2012	22	AAA MLE	Diablos Rojos del Mexico	—	521	472	132	16	7	17	36	99	6	17	7	280	339	451	790	172	320	19	7	336	114	—	—	—	—	—	—
2012	22	AAA RAW	Diablos Rojos del Mexico	—	521	455	147	18	8	24	53	83	6	17	7	323	401	556	957	233	350	16	10	413	114	—	—	—	—	—	—
2013	23	AAA MLE	3 teams	—	665	587	154	25	13	11	56	162	5	24	7	262	332	405	737	143	343	24	8	315	99	—	—	—	—	—	—
2013	23	AAA RAW	3 teams	—	665	561	162	28	11	15	82	111	5	24	7	289	384	458	842	169	336	17	12	366	99	—	—	—	—	—	—
2014	24	AA MLE	2 teams	—	665	582	126	23	12	8	66	127	7	33	8	216	304	338	642	122	263	19	10	279	75	—	—	—	—	—	—
2014	24	AA RAW	2 teams	—	665	541	140	33	8	14	107	116	7	33	8	259	388	427	815	168	305	17	16	363	75	—	—	—	—	—	—
2015	25	AA MLE	3 teams	—	517	465	96	20	4	6	37	119	3	21	4	206	269	305	575	99	262	23	7	256	59	—	—	—	—	—	—
2015	25	AA RAW	3 teams	—	517	439	114	24	5	10	63	96	3	21	4	260	356	405	762	146	310	19	12	336	59	—	—	—	—	—	—
2016	26	INTL MLE	2 teams	—	500	437	100	8	6	5	53	169	2	18	7	229	315	309	624	80	360	34	11	276	73	—	—	—	—	—	—
2016	26	INTL RAW	2 teams	—	500	419	113	14	11	10	71	110	2	18	7	270	378	427	805	158	343	22	14	356	73	—	—	—	—	—	—
2017	27	AAA MLE	2 teams	—	608	556	144	25	16	3	43	132	4	24	11	259	317	378	694	119	332	22	7	307	94	—	—	—	—	—	—
2017	27	AAA RAW	2 teams	—	608	533	149	30	11	3	66	115	4	24	11	280	363	394	757	114	348	19	11	340	94	—	—	—	—	—	—
2018	28	INTL MLE	Yaquis de Obregon	—	203	174	41	10	2	5	29	45	0	6	2	236	345	402	747	167	290	22	14	—	—	—	—	—	—	—	—
2018	28	INTL RAW	Yaquis de Obregon	—	203	174	41	10	2	5	29	45	0	6	2	236	345	402	747	167	290	22	14	337	114	—	—	—	—	—	—
2019	29	AAA MLE	2 teams	—	653	561	135	23	5	21	71	146	4	24	8	241	330	412	742	171	285	22	11	321	103	—	—	—	—	—	—
2019	29	AAA RAW	2 teams	—	653	541	142	19	4	16	91	133	4	24	8	262	373	401	774	139	317	20	14	343	103	—	—	—	—	—	—
2020	30	INTL MLE	Aguilas de Mexicali	—	85	73	21	5	0	3	12	21	0	3	1	288	388	479	868	192	367	25	14	—	—	—	—	—	—	—	—
2020	30	INTL RAW	Aguilas de Mexicali	—	85	73	21	5	0	3	12	21	0	3	1	288	388	479	868	192	367	25	14	386	147	—	—	—	—	—	—
2021	31	INTL MLE	Aguilas de Mexicali	—	256	208	49	9	2	4	42	49	2	7	2	236	369	356	725	120	290	19	16	—	—	—	—	—	—	—	—
2021	31	INTL RAW	Aguilas de Mexicali	—	256	208	49	9	2	4	42	49	2	7	2	236	369	356	725	120	290	19	16	331	110	—	—	—	—	—	—
2022	32	INTL MLE	Aguilas de Mexicali	—	208	172	47	4	5	2	32	41	2	8	6	273	393	390	783	116	344	20	15	—	—	—	—	—	—	—	—
2022	32	INTL RAW	Aguilas de Mexicali	—	208	172	47	4	5	2	32	41	2	8	6	273	393	390	783	116	344	20	15	355	126	—	—	—	—	—	—
2023	33	INTL MLE	Aguilas de Mexicali	—	202	170	35	10	4	3	26	39	0	6	0	206	311	365	676	159	250	19	13	—	—	—	—	—	—	—	—
2023	33	INTL RAW	Aguilas de Mexicali	—	202	170	35	10	4	3	26	39	0	6	0	206	311	365	676	159	250	19	13	297	87	—	—	—	—	—	—
2024	34	INTL MLE	Aguilas de Mexicali	—	171	144	34	7	3	3	21	38	0	7	2	236	333	389	722	153	295	22	12	—	—	—	—	—	—	—	—
2024	34	INTL RAW	Aguilas de Mexicali	—	171	144	34	7	3	3	21	38	0	7	2	236	333	389	722	153	295	22	12	314	99	—	—	—	—	—	—
2025	35	INTL MLE	Mexico Rojo	—	258	193	59	10	3	14	57	52	1	9	4	306	466	606	1.072	301	346	20	22	—	—	—	—	—	—	—	—
2025	35	INTL RAW	Mexico Rojo	—	258	193	59	10	3	14	57	52	1	9	4	306	466	606	1.072	301	346	20	22	451	191	—	—	—	—	—	—
2026	36	INTL MLE	Algodoneros de Guasave	—	51	39	9	2	0	2	10	8	1	1	1	231	400	436	836	205	241	16	20	—	—	—	—	—	—	—	—
2026	36	INTL RAW	Algodoneros de Guasave	—	51	39	9	2	0	2	10	8	1	1	1	231	400	436	836	205	241	16	20	372	138	—	—	—	—	—	—
2007	17	AAA MLE	Potros de Tijuana	—	22	21	4	0	0	0	1	7	0	0	0	190	227	190	418		260	32	5	169	1	—	—	—	—	—	—
2008	18	AAA MLE	Potros de Tijuana	—	317	298	78	19	7	2	15	61	1	9	5	262	311	393	704	131	321	19	5	299	88	—	—	—	—	—	—
2009	19	AAA MLE	Broncos de Reynosa	—	486	459	151	20	10	1	21	69	3	13	10	329	368	423	791	94	380	14	4	339	116	—	—	—	—	—	—
2010	20	AAA MLE	2 teams	—	739	688	210	23	12	6	40	84	5	20	8	305	357	400	756	94	330	11	5	331	110	—	—	—	—	—	—
2011	21	AAA MLE	2 teams	—	742	690	209	18	10	18	40	87	6	32	11	303	353	436	789	133	324	12	5	342	118	—	—	—	—	—	—
2012	22	AAA MLE	Diablos Rojos del Mexico	—	521	474	132	16	7	17	36	99	6	17	7	278	339	449	788	171	313	19	7	336	114	—	—	—	—	—	—
2013	23	AAA MLE	3 teams	—	665	599	154	25	13	11	56	162	5	24	7	257	332	397	729	140	327	24	8	315	99	—	—	—	—	—	—
2014	24	AA MLE	2 teams	—	665	587	126	23	12	8	66	127	7	33	8	215	304	336	639	121	256	19	10	279	75	—	—	—	—	—	—
2015	25	AA MLE	3 teams	—	517	472	96	20	4	6	37	119	3	21	4	203	269	301	570	97	255	23	7	256	59	—	—	—	—	—	—
2016	26	INTL MLE	2 teams	—	500	441	100	8	6	5	53	169	2	18	7	227	315	306	621	79	345	34	11	276	73	—	—	—	—	—	—
2017	27	AAA MLE	2 teams	—	608	556	144	25	16	3	43	132	4	24	11	259	317	378	694	119	327	22	7	307	94	—	—	—	—	—	—
2019	29	AAA MLE	2 teams	—	653	573	135	23	5	21	71	146	4	24	8	236	330	403	733	168	273	22	11	321	103	—	—	—	—	—	—
▸ Career Totals
Career	—	MLE		—	7869	6938	1834	277	121	134	708	1555	52	282	104	264	337	397	734	133	321	20	9	254	58	-393	+15	+0	-47	+170	-26.0
/ 162G	—	MLE		—	650	573	152	23	10	11	58	128	4	23	9	265	336	398	734	133	323	20	9	254	58	-32	+1	+0	-4	+14	-2.2

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 · 433 PAwOBA .375 → .321 (−54)K% 18.9% → 22.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.94%	÷1.018	×1.200	—	—	22.32%
BB% (unintentional) /PA	15.70%	÷0.986	×0.690	—	×0.982	10.79%
HBP% /PA	0.69%	—	×0.940	—	×0.982	0.64%
Singles /BIP	22.85%	÷0.992	×0.930	×0.950	×0.982	19.98%
Doubles /BIP	6.37%	÷0.910	×0.830	×0.950	×0.982	5.42%
Triples /BIP	1.50%	÷1.150	×0.920	×0.950	×0.982	1.12%
Home runs /BIP	5.62%	÷0.792	×0.700	—	×0.982	4.88%

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 .375 → .321; ISO .201 → .183; BABIP .318 → .273. 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 · 408 PAwOBA .350 → .307 (−42)K% 18.4% → 21.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.38%	÷1.015	×1.200	—	—	21.74%
BB% (unintentional) /PA	10.29%	÷0.998	×0.690	—	×1.003	7.14%
HBP% /PA	0.49%	—	×0.940	—	×1.003	0.46%
Singles /BIP	25.00%	÷1.002	×0.930	×1.000	×1.003	23.29%
Doubles /BIP	7.50%	÷1.054	×0.830	×1.000	×1.003	5.93%
Triples /BIP	3.57%	÷0.900	×0.920	×1.000	×1.003	3.66%
Home runs /BIP	1.07%	÷0.945	×0.700	—	×1.003	0.80%

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 ×1.000.

Result: wOBA .350 → .307; ISO .141 → .127; BABIP .359 → .327. 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 AAADiablos Rojos del Mexico · 219 PAwOBA .349 → .276 (−73)K% 25.1% → 33.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.11%	÷0.894	×1.200	—	—	33.71%
BB% (unintentional) /PA	15.07%	÷1.001	×0.690	—	×1.018	10.57%
HBP% /PA	0.00%	—	×0.940	—	×1.018	0.00%
Singles /BIP	30.71%	÷1.027	×0.930	×1.032	×1.018	29.21%
Doubles /BIP	3.94%	÷1.188	×0.830	×1.032	×1.018	2.89%
Triples /BIP	2.36%	÷1.150	×0.920	×1.032	×1.018	1.99%
Home runs /BIP	3.15%	÷1.183	×0.700	—	×1.018	1.90%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 137, 1B 105, 2B 138, 3B 130, K 79, BB 100 — 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 ×1.032.

Result: wOBA .349 → .276; ISO .126 → .084; BABIP .379 → .345. 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 AACorpus Christi Hooks · 302 PAwOBA .309 → .262 (−47)K% 16.6% → 21.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.56%	÷0.964	×1.220	—	—	20.96%
BB% (unintentional) /PA	10.93%	÷1.003	×0.700	—	×0.998	7.61%
HBP% /PA	0.33%	—	×0.870	—	×0.998	0.29%
Singles /BIP	20.28%	÷1.022	×0.920	×1.010	×0.998	18.41%
Doubles /BIP	6.60%	÷0.963	×0.840	×1.010	×0.998	5.81%
Triples /BIP	0.94%	÷0.900	×0.940	×1.010	×0.998	0.99%
Home runs /BIP	2.36%	÷1.059	×0.800	—	×0.998	1.78%

Factors used: league row TL. Park (home-season share, regressed): HR 112, 1B 104, 2B 93, 3B 80, K 93, BB 101 — applied at half strength. Age: age 25 vs a level average of 24.8 → −0.2% on BB/HBP/hit rates (0.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.010.

Result: wOBA .309 → .262; ISO .126 → .108; BABIP .281 → .253. 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 AAAFresno Grizzlies · 35 PAwOBA .241 → .200 (−41)K% 31.4% → 39.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	31.43%	÷1.020	×1.290	—	—	39.76%
BB% (unintentional) /PA	5.71%	÷0.987	×0.710	—	×1.033	4.25%
HBP% /PA	2.86%	—	×0.980	—	×1.033	2.89%
Singles /BIP	20.00%	÷0.972	×0.900	—	×1.033	19.13%
Doubles /BIP	5.00%	÷1.051	×0.810	—	×1.033	3.98%
Triples /BIP	5.00%	÷1.021	×0.810	—	×1.033	4.10%
Home runs /BIP	0.00%	÷1.060	×0.780	—	×1.033	0.00%

Factors used: league row PCL. Park (home-season share, regressed): HR 112, 1B 94, 2B 110, 3B 104, K 104, BB 97 — 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).

Result: wOBA .241 → .200; ISO .097 → .073; BABIP .300 → .272. 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 AACorpus Christi Hooks · 375 PAwOBA .318 → .279 (−38)K% 15.5% → 19.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.47%	÷0.988	×1.220	—	—	19.11%
BB% (unintentional) /PA	13.87%	÷0.991	×0.700	—	×1.012	9.91%
HBP% /PA	1.33%	—	×0.870	—	×1.012	1.17%
Singles /BIP	19.61%	÷1.022	×0.920	×0.999	×1.012	17.84%
Doubles /BIP	5.10%	÷0.890	×0.840	×0.999	×1.012	4.87%
Triples /BIP	2.35%	÷0.900	×0.940	×0.999	×1.012	2.49%
Home runs /BIP	1.96%	÷0.956	×0.800	—	×1.012	1.66%

Factors used: league row TL. Park (home-season share, regressed): HR 91, 1B 104, 2B 78, 3B 80, K 98, BB 98 — applied at half strength. Age: age 24 vs a level average of 24.8 → +1.2% on BB/HBP/hit rates (0.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.999.

Result: wOBA .318 → .279; ISO .128 → .124; BABIP .276 → .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 AAADiablos Rojos del Mexico · 392 PAwOBA .389 → .321 (−68)K% 18.4% → 24.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.37%	÷0.920	×1.200	—	—	23.95%
BB% (unintentional) /PA	11.99%	÷1.068	×0.690	—	×1.050	8.13%
HBP% /PA	0.51%	—	×0.940	—	×1.050	0.50%
Singles /BIP	24.81%	÷0.978	×0.930	×1.003	×1.050	24.85%
Doubles /BIP	7.25%	÷1.124	×0.830	×1.003	×1.050	5.64%
Triples /BIP	3.44%	÷1.150	×0.920	×1.003	×1.050	2.89%
Home runs /BIP	4.20%	÷1.277	×0.700	—	×1.050	2.42%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 155, 1B 96, 2B 125, 3B 130, K 84, BB 114 — 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 ×1.003.

Result: wOBA .389 → .321; ISO .210 → .148; BABIP .368 → .339. 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 AACorpus Christi Hooks · 48 PAwOBA .330 → .266 (−64)K% 22.9% → 27.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.92%	÷1.004	×1.220	—	—	27.84%
BB% (unintentional) /PA	16.67%	÷1.117	×0.700	—	×1.027	10.73%
HBP% /PA	2.08%	—	×0.870	—	×1.027	1.86%
Singles /BIP	14.29%	÷1.040	×0.920	—	×1.027	12.98%
Doubles /BIP	7.14%	÷1.067	×0.840	—	×1.027	5.77%
Triples /BIP	3.57%	÷0.900	×0.940	—	×1.027	3.83%
Home runs /BIP	3.57%	÷1.106	×0.800	—	×1.027	2.65%

Factors used: league row TL. Park (home-season share, regressed): HR 121, 1B 108, 2B 113, 3B 80, K 101, BB 123 — applied at half strength. Age: age 23 vs a level average of 24.8 → +2.7% on BB/HBP/hit rates (1.8 yr younger than average).

Result: wOBA .330 → .266; ISO .179 → .157; BABIP .259 → .232. 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 — .