Luis Sardinas

PosSS

B/TS/R

Born1993-05-16

Age (2027)34

No MLB projection yet. Career stats below are historical.

Overview

INTL

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR
2024	31	INTLTigres de Ara…	156	.296/.371/.422	4	1	121	—
2025	32	INTLNavegantes de…	96	.275/.457/.464	3	0	157	—
2026	33	INTLNavegantes de…	25	.182/.280/.318	1	0	74	—

Contract

No contract data on file.

Skills · percentileStatcast 2016-2018

Speed30

Barrel%10

xwOBA10

Avg EV10

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	17	ROK	AZL Rangers	—	119	103	32	4	0	0	7	15	2	8	2	311	366	350	716	39	360	13	6	309	65	—	—	—	—	—	—
2011	18	ROK	AZL Rangers	—	60	52	16	2	1	0	4	10	2	2	1	308	379	385	764	77	364	17	7	337	64	—	—	—	—	—	—
2012	19	A	Hickory Crawdads	—	412	374	109	14	2	2	29	52	4	32	9	291	349	356	705	64	331	13	7	318	74	—	—	—	—	—	—
2012	19	INTL	Surprise Saguaros	—	48	44	14	3	0	1	4	9	0	1	2	318	375	455	830	136	382	19	8	370	137	—	—	—	—	—	—
2013	20	AA	Frisco RoughRiders	—	141	135	35	4	0	1	4	21	1	5	2	259	286	311	597	52	301	15	3	269	61	—	—	—	—	—	—
2013	20	A+	Myrtle Beach Pelicans	—	432	383	114	15	3	1	32	54	7	27	8	298	363	360	723	63	339	12	7	323	80	—	—	—	—	—	—
2013	20	INTL	Tiburones de La Guaira	—	147	127	45	9	1	0	13	18	1	6	6	354	418	441	859	87	413	12	9	372	138	—	—	—	—	—	—
2014	21	MLB	Texas Rangers	—	125	115	30	6	0	0	5	21	2	5	1	261	303	313	616	52	319	17	4	275	68	-5	+1	+0	+2	+3	0.1
2014	21	AAA	Round Rock Express	—	273	262	76	15	2	1	8	39	0	9	4	290	311	374	685	84	336	14	3	303	70	—	—	—	—	—	—
2014	21	AA	Frisco RoughRiders	—	90	87	22	5	1	0	3	12	0	1	1	253	278	333	611	80	293	13	3	273	59	—	—	—	—	—	—
2014	21	INTL	Tiburones de La Guaira	—	147	137	36	7	3	0	6	20	0	4	0	263	294	358	651	95	303	14	4	283	77	—	—	—	—	—	—
2015	22	MLB	Milwaukee Brewers	—	105	97	19	0	1	0	6	25	0	0	0	196	243	216	459	21	260	24	6	210	25	-9	+0	+0	+6	+2	-0.1
2015	22	AAA	Colorado Springs Sky Sox	—	416	390	110	17	5	1	20	54	1	16	4	282	319	359	678	77	325	13	5	301	57	—	—	—	—	—	—
2015	22	INTL	Tiburones de La Guaira	—	58	51	17	1	1	1	6	8	0	1	0	333	404	451	854	118	372	14	10	376	141	—	—	—	—	—	—
2016	23	MLB	San Diego Padres	—	197	180	44	6	1	4	12	48	1	4	2	244	295	356	651	111	312	24	6	287	75	-6	+0	-6	+4	+4	-0.3
2016	23	AAA	El Paso Chihuahuas	—	199	182	46	6	0	0	12	23	2	8	4	253	306	286	592	33	286	12	6	270	48	—	—	—	—	—	—
2017	24	MLB	San Diego Padres	—	53	49	8	0	0	0	4	11	0	1	0	163	226	163	390		211	21	8	189	15	-5	+0	+0	+5	+1	0.1
2017	24	AAA	Norfolk Tides	—	331	310	99	10	3	5	12	39	2	6	4	319	349	419	768	100	352	12	4	336	106	—	—	—	—	—	—
2017	24	INTL	Venezuela	—	89	79	24	2	0	1	7	6	0	2	0	304	360	367	728	63	319	7	8	321	103	—	—	—	—	—	—
2018	25	MLB	Baltimore Orioles	—	20	18	2	0	0	1	2	5	0	0	0	111	200	278	478	167	83	25	10	219	27	-2	+0	-2	+2	+0	-0.1
2018	25	AAA	Norfolk Tides	—	247	231	61	15	0	4	10	41	1	2	3	264	298	381	678	117	306	17	4	297	67	—	—	—	—	—	—
2018	25	INTL	Caribes de Anzoategui	—	181	159	43	7	2	4	15	19	1	2	0	270	337	415	752	145	283	10	8	325	106	—	—	—	—	—	—
2019	26	AAA	Fresno Grizzlies	—	66	60	20	2	1	0	3	12	1	0	1	333	375	400	775	67	408	18	5	339	86	—	—	—	—	—	—
2019	26	AA	Harrisburg Senators	—	192	167	33	8	0	1	18	25	1	1	4	198	280	263	543	66	222	13	9	247	26	—	—	—	—	—	—
2019	26	INTL	Caribes de Anzoategui	—	129	110	27	5	0	3	12	14	1	0	2	245	325	373	698	127	242	11	9	302	91	—	—	—	—	—	—
2020	27	INTL	Venezuela	—	162	140	47	12	0	2	17	14	2	1	0	336	415	464	879	129	360	9	10	387	148	—	—	—	—	—	—
2021	28	INTL	Caribes de Anzoategui	—	164	144	33	7	0	3	13	23	3	2	1	229	306	340	647	111	248	14	8	289	81	—	—	—	—	—	—
2022	29	INTL	Caribes de Anzoategui	—	175	158	34	7	1	2	13	22	1	0	0	215	279	310	589	95	235	13	7	265	65	—	—	—	—	—	—
2023	30	INTL	Caribes de Anzoategui	—	212	178	54	16	0	7	28	30	2	1	0	303	404	511	915	208	324	14	13	397	155	—	—	—	—	—	—
2024	31	INTL	Tigres de Aragua	—	156	135	40	5	0	4	12	33	4	1	0	296	371	422	793	126	356	21	8	347	121	—	—	—	—	—	—
2025	32	INTL	Navegantes del Magallanes	—	96	69	19	4	0	3	19	16	4	0	0	275	457	464	920	188	302	17	20	400	157	—	—	—	—	—	—
2026	33	INTL	Navegantes del Magallanes	—	25	22	4	0	0	1	2	5	1	0	0	182	280	318	598	136	188	20	8	277	74	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	500	459	103	12	2	5	29	110	3	10	3	224	275	292	567	68	284	22	6	255	59	-25	+1	-7	+19	+11	-0.1
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2010	17	ROK MLE	AZL Rangers	—	119	105	29	3	0	0	5	22	2	8	2	276	321	305	626	29	316	18	4	264	65	—	—	—	—	—	—
2011	18	ROK MLE	AZL Rangers	—	60	53	13	1	1	0	3	14	2	2	1	245	310	302	612	57	298	23	5	263	64	—	—	—	—	—	—
2012	19	A MLE	Hickory Crawdads	—	412	384	102	12	2	1	19	73	4	32	9	266	307	315	622	49	319	18	5	278	74	—	—	—	—	—	—
2013	20	AA MLE	Frisco RoughRiders	—	141	136	36	3	0	1	3	26	1	5	2	265	286	309	595	44	320	18	2	258	61	—	—	—	—	—	—
2013	20	A+ MLE	Myrtle Beach Pelicans	—	432	395	108	13	2	1	20	74	7	27	8	273	320	324	644	51	320	17	5	286	80	—	—	—	—	—	—
2014	21	MLB MLE	Texas Rangers	—	125	115	30	6	0	0	5	21	2	5	1	261	303	313	616	52	319	17	4	268	68	-5	+1	+0	+2	+3	0.1
2014	21	AAA MLE	Round Rock Express	—	273	264	72	12	2	1	6	50	0	9	4	273	289	345	634	72	327	18	2	272	70	—	—	—	—	—	—
2014	21	AA MLE	Frisco RoughRiders	—	90	88	21	5	1	0	2	15	0	1	1	239	256	318	574	80	294	17	2	255	59	—	—	—	—	—	—
2015	22	MLB MLE	Milwaukee Brewers	—	105	98	19	0	1	0	5	25	0	0	0	194	233	214	447	20	260	24	5	205	25	-9	+0	+0	+6	+2	-0.1
2015	22	AAA MLE	Colorado Springs Sky Sox	—	416	395	98	12	4	1	15	71	1	16	4	248	277	306	584	58	296	17	4	253	57	—	—	—	—	—	—
2016	23	MLB MLE	San Diego Padres	—	197	183	44	6	1	4	9	48	1	4	2	240	280	350	630	109	312	24	5	280	75	-6	+0	-6	+4	+4	-0.3
2016	23	AAA MLE	El Paso Chihuahuas	—	199	186	43	5	0	0	8	31	2	8	4	231	270	258	528	27	270	16	4	239	48	—	—	—	—	—	—
2017	24	MLB MLE	San Diego Padres	—	53	49	8	0	0	0	4	11	0	1	0	163	226	163	390		211	21	8	190	15	-5	+0	+0	+5	+1	0.1
2017	24	AAA MLE	Norfolk Tides	—	331	313	101	9	3	5	9	47	2	6	4	323	346	419	764	96	355	14	3	325	106	—	—	—	—	—	—
2018	25	MLB MLE	Baltimore Orioles	—	20	18	2	0	0	1	2	5	0	0	0	111	200	278	478	167	83	25	10	209	27	-2	+0	-2	+2	+0	-0.1
2018	25	AAA MLE	Norfolk Tides	—	247	234	59	13	0	4	7	49	1	2	3	252	277	359	636	107	295	20	3	267	67	—	—	—	—	—	—
2019	26	AAA MLE	Fresno Grizzlies	—	66	61	19	2	1	0	2	16	1	0	1	311	344	377	721	66	380	24	3	296	86	—	—	—	—	—	—
2019	26	AA MLE	Harrisburg Senators	—	192	174	31	7	0	1	11	31	1	1	4	178	231	236	467	57	198	16	6	206	26	—	—	—	—	—	—
2010	17	ROK MLE	AZL Rangers	—	119	105	29	3	0	0	5	22	2	8	2	276	321	305	626	29	345	18	4	264	65	—	—	—	—	—	—
2010	17	ROK RAW	AZL Rangers	—	119	103	32	4	0	0	7	15	2	8	2	311	366	350	716	39	360	13	6	309	65	—	—	—	—	—	—
2011	18	ROK MLE	AZL Rangers	—	60	53	13	1	1	0	3	14	2	2	1	245	310	302	612	57	317	23	5	263	64	—	—	—	—	—	—
2011	18	ROK RAW	AZL Rangers	—	60	52	16	2	1	0	4	10	2	2	1	308	379	385	764	77	364	17	7	337	64	—	—	—	—	—	—
2012	19	A MLE	2 teams	—	460	430	115	13	2	2	21	81	4	33	11	267	308	321	629	53	323	18	5	278	74	—	—	—	—	—	—
2012	19	A RAW	2 teams	—	460	418	123	17	2	3	33	61	4	33	11	294	352	366	718	72	336	13	7	323	74	—	—	—	—	—	—
2013	20	A+ MLE	3 teams	—	720	665	181	21	3	2	29	126	9	38	16	272	312	322	633	50	330	18	4	279	75	—	—	—	—	—	—
2013	20	A+ RAW	3 teams	—	720	645	194	28	4	2	49	93	9	38	16	301	358	366	724	65	346	13	7	322	75	—	—	—	—	—	—
2014	21	AAA MLE	4 teams	—	635	606	160	30	4	1	17	111	2	19	6	264	286	332	618	68	320	17	3	268	67	—	—	—	—	—	—
2014	21	AAA RAW	4 teams	—	635	601	164	33	6	1	22	92	2	19	6	273	301	353	654	80	319	14	3	288	67	—	—	—	—	—	—
2015	22	AAA MLE	3 teams	—	579	548	130	14	5	1	22	107	1	17	4	237	268	286	554	49	292	18	4	243	51	—	—	—	—	—	—
2015	22	AAA RAW	3 teams	—	579	538	146	18	7	2	32	87	1	17	4	271	313	342	655	71	319	15	6	292	51	—	—	—	—	—	—
2016	23	AAA MLE	2 teams	—	396	369	88	12	1	4	17	79	3	12	6	238	278	309	587	70	292	20	4	259	62	—	—	—	—	—	—
2016	23	AAA RAW	2 teams	—	396	362	90	12	1	4	24	71	3	12	6	249	301	320	621	72	298	18	6	279	62	—	—	—	—	—	—
2017	24	AAA MLE	3 teams	—	473	445	133	11	3	6	16	71	2	9	4	299	326	378	704	79	344	15	3	306	94	—	—	—	—	—	—
2017	24	AAA RAW	3 teams	—	473	438	131	12	3	6	23	56	2	9	4	299	337	381	718	82	332	12	5	317	94	—	—	—	—	—	—
2018	25	AAA MLE	3 teams	—	448	420	102	21	0	8	15	90	2	4	3	243	272	350	622	107	290	20	3	263	64	—	—	—	—	—	—
2018	25	AAA RAW	3 teams	—	448	408	106	22	2	9	27	65	2	4	3	260	309	390	699	130	289	15	6	305	64	—	—	—	—	—	—
2019	26	AA MLE	3 teams	—	387	351	74	13	1	1	19	70	3	1	7	211	257	262	519	51	252	18	5	229	41	—	—	—	—	—	—
2019	26	AA RAW	3 teams	—	387	337	80	15	1	4	33	51	3	1	7	237	311	323	634	86	260	13	9	281	41	—	—	—	—	—	—
2020	27	INTL MLE	Venezuela	—	162	140	47	12	0	2	17	14	2	1	0	336	415	464	879	129	360	9	10	—	—	—	—	—	—	—	—
2020	27	INTL RAW	Venezuela	—	162	140	47	12	0	2	17	14	2	1	0	336	415	464	879	129	360	9	10	387	148	—	—	—	—	—	—
2021	28	INTL MLE	Caribes de Anzoategui	—	164	144	33	7	0	3	13	23	3	2	1	229	306	340	647	111	248	14	8	—	—	—	—	—	—	—	—
2021	28	INTL RAW	Caribes de Anzoategui	—	164	144	33	7	0	3	13	23	3	2	1	229	306	340	647	111	248	14	8	289	81	—	—	—	—	—	—
2022	29	INTL MLE	Caribes de Anzoategui	—	175	158	34	7	1	2	13	22	1	0	0	215	279	310	589	95	235	13	7	—	—	—	—	—	—	—	—
2022	29	INTL RAW	Caribes de Anzoategui	—	175	158	34	7	1	2	13	22	1	0	0	215	279	310	589	95	235	13	7	265	65	—	—	—	—	—	—
2023	30	INTL MLE	Caribes de Anzoategui	—	212	178	54	16	0	7	28	30	2	1	0	303	404	511	915	208	324	14	13	—	—	—	—	—	—	—	—
2023	30	INTL RAW	Caribes de Anzoategui	—	212	178	54	16	0	7	28	30	2	1	0	303	404	511	915	208	324	14	13	397	155	—	—	—	—	—	—
2024	31	INTL MLE	Tigres de Aragua	—	156	135	40	5	0	4	12	33	4	1	0	296	371	422	793	126	356	21	8	—	—	—	—	—	—	—	—
2024	31	INTL RAW	Tigres de Aragua	—	156	135	40	5	0	4	12	33	4	1	0	296	371	422	793	126	356	21	8	347	121	—	—	—	—	—	—
2025	32	INTL MLE	Navegantes del Magallanes	—	96	69	19	4	0	3	19	16	4	0	0	275	457	464	920	188	302	17	20	—	—	—	—	—	—	—	—
2025	32	INTL RAW	Navegantes del Magallanes	—	96	69	19	4	0	3	19	16	4	0	0	275	457	464	920	188	302	17	20	400	157	—	—	—	—	—	—
2026	33	INTL MLE	Navegantes del Magallanes	—	25	22	4	0	0	1	2	5	1	0	0	182	280	318	598	136	188	20	8	—	—	—	—	—	—	—	—
2026	33	INTL RAW	Navegantes del Magallanes	—	25	22	4	0	0	1	2	5	1	0	0	182	280	318	598	136	188	20	8	277	74	—	—	—	—	—	—
2010	17	ROK MLE	AZL Rangers	—	119	111	29	3	0	0	5	22	2	8	2	261	321	288	610	27	316	18	4	264	65	—	—	—	—	—	—
2011	18	ROK MLE	AZL Rangers	—	60	55	13	1	1	0	3	14	2	2	1	236	310	291	601	55	298	23	5	263	64	—	—	—	—	—	—
2012	19	A MLE	2 teams	—	460	432	115	13	2	2	21	81	4	33	11	266	308	319	627	53	319	18	5	278	74	—	—	—	—	—	—
2013	20	A+ MLE	3 teams	—	720	676	181	21	3	2	29	126	9	38	16	268	312	317	628	49	320	18	4	279	75	—	—	—	—	—	—
2014	21	AAA MLE	4 teams	—	635	611	160	30	4	1	17	111	2	19	6	262	286	329	615	67	319	17	3	268	67	—	—	—	—	—	—
2015	22	AAA MLE	3 teams	—	579	551	130	14	5	1	22	107	1	17	4	236	268	285	553	49	289	18	4	243	51	—	—	—	—	—	—
2016	23	AAA MLE	2 teams	—	396	373	88	12	1	4	17	79	3	12	6	236	278	306	583	70	291	20	4	259	62	—	—	—	—	—	—
2017	24	AAA MLE	3 teams	—	473	452	133	11	3	6	16	71	2	9	4	294	326	372	698	77	335	15	3	306	94	—	—	—	—	—	—
2018	25	AAA MLE	3 teams	—	448	428	102	21	0	8	15	90	2	4	3	238	272	343	616	105	279	20	3	263	64	—	—	—	—	—	—
2019	26	AA MLE	3 teams	—	387	362	74	13	1	1	19	70	3	1	7	204	257	254	512	50	245	18	5	229	41	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	500	459	103	12	2	5	29	110	3	10	3	224	275	292	567	68	284	22	6	255	33	-25	+1	-7	+19	+11	-0.1
/ 162G	—	A+C		—	650	597	134	16	3	6	38	143	4	13	4	224	275	291	567	67	285	22	6	255	33	-32	+1	-10	+25	+14	-0.1
Career	—	MLE		—	5267	4838	1256	190	21	47	268	914	47	148	61	260	305	337	642	77	308	17	5	217	33	-25	+1	-7	+19	+11	-0.1
/ 162G	—	MLE		—	650	597	155	23	3	6	33	113	6	18	8	260	305	338	643	79	308	17	5	217	33	-32	+1	-10	+25	+14	-0.1

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 AAHarrisburg Senators · 192 PAwOBA .240 → .206 (−34)K% 13.0% → 16.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.02%	÷0.996	×1.220	—	—	15.95%
BB% (unintentional) /PA	8.33%	÷1.054	×0.700	—	×0.988	5.47%
HBP% /PA	0.52%	—	×0.850	—	×0.988	0.44%
Singles /BIP	16.90%	÷0.991	×0.970	×0.950	×0.988	15.53%
Doubles /BIP	5.63%	÷0.985	×0.860	×0.950	×0.988	4.62%
Triples /BIP	0.00%	÷1.150	×0.950	×0.950	×0.988	0.00%
Home runs /BIP	0.70%	÷1.111	×0.780	—	×0.988	0.49%

Factors used: league row EL. Park (home-season share, regressed): HR 122, 1B 98, 2B 97, 3B 130, K 99, BB 111 — applied at half strength. Age: age 26 vs a level average of 24.8 → −1.2% on BB/HBP/hit rates (1.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .240 → .206; ISO .066 → .055; BABIP .222 → .198. 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).

2019 AAAFresno Grizzlies · 66 PAwOBA .336 → .296 (−40)K% 18.2% → 24.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.18%	÷0.953	×1.290	—	—	24.61%
BB% (unintentional) /PA	4.55%	÷0.990	×0.710	—	×1.018	3.32%
HBP% /PA	1.52%	—	×0.980	—	×1.018	1.51%
Singles /BIP	35.42%	÷0.959	×0.900	—	×1.018	33.82%
Doubles /BIP	4.17%	÷0.976	×0.810	—	×1.018	3.52%
Triples /BIP	2.08%	÷1.140	×0.810	—	×1.018	1.51%
Home runs /BIP	0.00%	÷0.962	×0.780	—	×1.018	0.00%

Factors used: league row PCL. Park (home-season share, regressed): HR 92, 1B 92, 2B 95, 3B 128, K 91, BB 98 — 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).

Result: wOBA .336 → .296; ISO .067 → .051; BABIP .408 → .380. 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).

2018 AAANorfolk Tides · 247 PAwOBA .289 → .267 (−22)K% 16.6% → 19.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.60%	÷1.009	×1.200	—	—	19.74%
BB% (unintentional) /PA	4.05%	÷0.997	×0.690	—	×1.033	2.89%
HBP% /PA	0.40%	—	×0.940	—	×1.033	0.39%
Singles /BIP	22.11%	÷0.984	×0.930	×1.035	×1.033	22.35%
Doubles /BIP	7.89%	÷1.063	×0.830	×1.035	×1.033	6.59%
Triples /BIP	0.00%	÷1.150	×0.970	×1.035	×1.033	0.00%
Home runs /BIP	2.11%	÷0.964	×0.840	—	×1.033	1.89%

Factors used: league row IL. Park (home-season share, regressed): HR 93, 1B 97, 2B 113, 3B 130, K 102, BB 99 — 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 ×1.035.

Result: wOBA .289 → .267; ISO .117 → .101; BABIP .306 → .295. 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 AAANorfolk Tides · 331 PAwOBA .328 → .325 (−3)K% 11.8% → 14.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	11.78%	÷0.995	×1.200	—	—	14.22%
BB% (unintentional) /PA	3.63%	÷0.948	×0.690	—	×1.048	2.76%
HBP% /PA	0.60%	—	×0.940	—	×1.048	0.60%
Singles /BIP	29.89%	÷0.989	×0.930	×1.040	×1.048	30.61%
Doubles /BIP	3.69%	÷1.001	×0.830	×1.040	×1.048	3.33%
Triples /BIP	1.11%	÷1.150	×0.970	×1.040	×1.048	1.02%
Home runs /BIP	1.85%	÷0.866	×0.840	—	×1.048	1.88%

Factors used: league row IL. Park (home-season share, regressed): HR 73, 1B 98, 2B 100, 3B 130, K 99, BB 90 — 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 ×1.040.

Result: wOBA .328 → .325; ISO .100 → .097; BABIP .352 → .355. 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 AAAEl Paso Chihuahuas · 199 PAwOBA .264 → .239 (−24)K% 11.6% → 15.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	11.56%	÷0.951	×1.290	—	—	15.68%
BB% (unintentional) /PA	5.53%	÷1.004	×0.710	—	×1.050	4.10%
HBP% /PA	1.01%	—	×0.980	—	×1.050	1.03%
Singles /BIP	25.16%	÷1.026	×0.900	×1.033	×1.050	23.94%
Doubles /BIP	3.77%	÷0.987	×0.810	×1.033	×1.050	3.36%
Triples /BIP	0.00%	÷1.028	×0.810	×1.033	×1.050	0.00%
Home runs /BIP	0.00%	÷1.160	×0.780	—	×1.050	0.00%

Factors used: league row PCL. Park (home-season share, regressed): HR 132, 1B 105, 2B 97, 3B 106, K 90, BB 101 — 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 ×1.033.

Result: wOBA .264 → .239; ISO .033 → .029; BABIP .286 → .270. 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 AAAColorado Springs Sky Sox · 416 PAwOBA .293 → .253 (−41)K% 13.0% → 17.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.98%	÷0.979	×1.290	—	—	17.10%
BB% (unintentional) /PA	4.81%	÷1.015	×0.710	—	×1.050	3.53%
HBP% /PA	0.24%	—	×0.980	—	×1.050	0.25%
Singles /BIP	25.89%	÷1.044	×0.900	×1.050	×1.050	24.61%
Doubles /BIP	5.06%	÷1.214	×0.810	×1.050	×1.050	3.72%
Triples /BIP	1.49%	÷1.150	×0.810	×1.050	×1.050	1.16%
Home runs /BIP	0.30%	÷0.886	×0.780	—	×1.050	0.28%

Factors used: league row PCL. Park (home-season share, regressed): HR 77, 1B 109, 2B 143, 3B 130, K 96, BB 103 — 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 .293 → .253; ISO .077 → .058; BABIP .325 → .296. 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 AAARound Rock Express · 273 PAwOBA .296 → .272 (−23)K% 14.3% → 18.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.29%	÷1.015	×1.290	—	—	18.16%
BB% (unintentional) /PA	2.93%	÷1.033	×0.710	—	×1.050	2.11%
HBP% /PA	0.00%	—	×0.980	—	×1.050	0.00%
Singles /BIP	26.01%	÷0.984	×0.900	×1.050	×1.050	26.23%
Doubles /BIP	6.73%	÷1.055	×0.810	×1.050	×1.050	5.69%
Triples /BIP	0.90%	÷0.953	×0.810	×1.050	×1.050	0.84%
Home runs /BIP	0.45%	÷1.027	×0.780	—	×1.050	0.36%

Factors used: league row PCL. Park (home-season share, regressed): HR 105, 1B 97, 2B 111, 3B 91, K 103, BB 107 — 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 .296 → .272; ISO .084 → .070; BABIP .336 → .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).

2014 AAFrisco RoughRiders · 90 PAwOBA .266 → .255 (−11)K% 13.3% → 16.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.33%	÷0.983	×1.220	—	—	16.54%
BB% (unintentional) /PA	3.33%	÷1.055	×0.700	—	×1.050	2.32%
HBP% /PA	0.00%	—	×0.870	—	×1.050	0.00%
Singles /BIP	21.33%	÷1.030	×0.920	×1.050	×1.050	21.01%
Doubles /BIP	6.67%	÷0.890	×0.840	×1.050	×1.050	6.94%
Triples /BIP	1.33%	÷0.921	×0.940	×1.050	×1.050	1.50%
Home runs /BIP	0.00%	÷1.322	×0.800	—	×1.050	0.00%

Factors used: league row TL. Park (home-season share, regressed): HR 164, 1B 106, 2B 78, 3B 84, K 97, BB 111 — applied at half strength. Age: age 21 vs a level average of 24.8 → +5.0% on BB/HBP/hit rates (3.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .266 → .255; ISO .080 → .083; BABIP .293 → .294. 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 — .