Luis Barrera

PosOF

B/TL/L

Born1995-11-15

Age (2027)31

No MLB projection yet. Career stats below are historical.

Overview

INTLROOKIE

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	SB	wRC+	WAR
2023	27	INTLTigres del Li…	64	.222/.333/.296	2	84	—
2024	28	INTLTigres del Li…	46	.195/.233/.293	6	35	—
2025	29	INTLTigres del Li…	28	.174/.296/.217	2	50	—

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)
2013	17	ROK	DSL Athletics	—	149	126	24	5	4	4	18	22	3	3	3	190	306	389	695	198	196	15	12	308	17	—	—	—	—	—	—
2014	18	ROK	DSL Athletics	—	52	46	6	0	0	0	5	12	0	2	0	130	216	130	346		176	23	10	172	-36	—	—	—	—	—	—
2015	19	ROK	AZL Athletics	—	133	115	33	3	2	0	12	26	0	1	0	287	354	348	702	61	355	20	9	307	42	—	—	—	—	—	—
2016	20	A	Beloit Snappers	—	76	70	20	4	2	1	4	17	0	3	1	286	324	443	767	157	358	22	5	329	65	—	—	—	—	—	—
2017	21	A+	Stockton Ports	—	124	114	26	2	0	4	8	25	0	3	1	228	279	351	630	123	256	20	6	279	36	—	—	—	—	—	—
2017	21	A	Beloit Snappers	—	301	278	77	13	7	3	16	61	3	13	7	277	323	406	730	129	341	20	5	321	55	—	—	—	—	—	—
2018	22	AA	Midland RockHounds	—	144	131	43	8	4	0	9	18	2	13	3	328	380	450	831	122	377	12	6	365	103	—	—	—	—	—	—
2018	22	A+	Stockton Ports	—	351	313	89	18	7	3	32	63	3	10	4	284	356	415	772	131	345	18	9	343	78	—	—	—	—	—	—
2018	22	INTL	Tigres del Licey	—	94	82	26	1	1	1	10	20	0	16	1	317	391	390	782	73	397	21	11	349	122	—	—	—	—	—	—
2019	23	AA	Midland RockHounds	—	240	224	72	9	11	4	12	48	1	9	7	321	359	513	872	192	393	20	5	376	83	—	—	—	—	—	—
2020	24	INTL	Tigres del Licey	—	40	37	8	2	1	0	3	9	0	2	2	216	275	324	599	108	286	22	8	270	69	—	—	—	—	—	—
2021	25	AAA	Las Vegas Aviators	—	386	341	94	16	6	4	39	67	1	10	2	276	352	393	745	117	328	17	10	332	71	—	—	—	—	—	—
2021	25	INTL	Tigres del Licey	—	57	48	9	2	0	0	6	11	1	3	0	188	291	229	520	42	237	19	11	243	50	—	—	—	—	—	—
2022	26	MLB	Oakland Athletics	—	85	77	18	5	0	1	6	17	1	3	0	234	298	338	635	104	283	20	7	286	80	-2	+1	+1	-6	+2	-0.5
2022	26	AAA	Las Vegas Aviators	—	348	312	82	16	7	8	29	68	3	9	3	263	331	436	767	173	310	20	8	336	76	—	—	—	—	—	—
2022	26	INTL	Dominican Republic	—	140	120	38	5	3	0	15	36	3	7	2	317	406	408	814	92	447	26	11	365	133	—	—	—	—	—	—
2023	27	INTL	Tigres del Licey	—	64	54	12	2	1	0	7	8	2	2	1	222	333	296	630	74	255	12	11	292	84	—	—	—	—	—	—
2024	28	INTL	Tigres del Licey	—	46	41	8	2	1	0	2	8	0	6	0	195	233	293	525	98	235	17	4	220	35	—	—	—	—	—	—
2025	29	INTL	Tigres del Licey	—	28	23	4	1	0	0	4	8	0	2	1	174	296	217	514	43	250	29	14	242	50	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	85	77	18	5	0	1	6	17	1	3	0	234	298	338	635	104	283	20	7	286	79	-2	+1	+1	-6	+2	-0.5
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2013	17	ROK MLE	DSL Athletics	—	149	131	14	3	2	2	13	27	3	3	3	107	204	206	410	99	120	18	9	193	17	—	—	—	—	—	—
2014	18	ROK MLE	DSL Athletics	—	52	48	4	0	0	0	3	15	0	2	0	83	137	83	221		119	29	6	115	-36	—	—	—	—	—	—
2015	19	ROK MLE	AZL Athletics	—	133	120	26	2	1	0	7	38	0	1	0	217	260	250	510	33	283	29	5	231	42	—	—	—	—	—	—
2016	20	A MLE	Beloit Snappers	—	76	71	17	3	2	1	3	23	0	3	1	239	270	380	651	141	317	30	4	264	65	—	—	—	—	—	—
2017	21	A+ MLE	Stockton Ports	—	124	117	24	2	0	3	5	33	0	3	1	205	238	299	537	94	242	27	4	221	36	—	—	—	—	—	—
2017	21	A MLE	Beloit Snappers	—	301	284	62	9	7	2	10	81	3	13	7	218	253	320	573	102	290	27	3	249	55	—	—	—	—	—	—
2018	22	AA MLE	Midland RockHounds	—	144	133	40	7	4	0	7	23	2	13	3	301	345	414	759	113	349	16	5	320	103	—	—	—	—	—	—
2018	22	A+ MLE	Stockton Ports	—	351	323	79	16	5	2	22	87	3	10	4	245	299	344	643	99	324	25	6	283	78	—	—	—	—	—	—
2019	23	AA MLE	Midland RockHounds	—	240	228	58	6	8	3	8	62	1	9	7	254	283	390	673	136	331	26	3	291	83	—	—	—	—	—	—
2021	25	AAA MLE	Las Vegas Aviators	—	386	355	83	14	6	3	25	81	1	10	2	234	286	332	618	99	286	21	6	273	71	—	—	—	—	—	—
2022	26	MLB MLE	Oakland Athletics	—	85	77	18	5	0	1	6	17	1	3	0	234	298	338	635	104	283	20	7	286	80	-2	+1	+1	-6	+2	-0.5
2022	26	AAA MLE	Las Vegas Aviators	—	348	321	74	12	8	5	20	81	3	9	3	231	282	364	646	134	284	23	6	280	76	—	—	—	—	—	—
2013	17	ROK MLE	DSL Athletics	—	149	131	14	3	2	2	13	27	3	3	3	107	204	206	410	99	115	18	9	193	17	—	—	—	—	—	—
2013	17	ROK RAW	DSL Athletics	—	149	126	24	5	4	4	18	22	3	3	3	190	306	389	695	198	196	15	12	308	17	—	—	—	—	—	—
2014	18	ROK MLE	DSL Athletics	—	52	48	4	0	0	0	3	15	0	2	0	83	137	83	221		121	29	6	115	-36	—	—	—	—	—	—
2014	18	ROK RAW	DSL Athletics	—	52	46	6	0	0	0	5	12	0	2	0	130	216	130	346		176	23	10	172	-36	—	—	—	—	—	—
2015	19	ROK MLE	AZL Athletics	—	133	120	26	2	1	0	7	38	0	1	0	217	260	250	510	33	302	29	5	231	42	—	—	—	—	—	—
2015	19	ROK RAW	AZL Athletics	—	133	115	33	3	2	0	12	26	0	1	0	287	354	348	702	61	355	20	9	307	42	—	—	—	—	—	—
2016	20	A MLE	Beloit Snappers	—	76	71	17	3	2	1	3	23	0	3	1	239	270	380	651	141	333	30	4	264	65	—	—	—	—	—	—
2016	20	A RAW	Beloit Snappers	—	76	70	20	4	2	1	4	17	0	3	1	286	324	443	767	157	358	22	5	329	65	—	—	—	—	—	—
2017	21	A MLE	2 teams	—	425	401	86	11	7	5	15	114	3	16	8	214	248	314	562	100	283	27	4	241	49	—	—	—	—	—	—
2017	21	A RAW	2 teams	—	425	392	103	15	7	7	24	86	3	16	8	263	310	390	701	128	317	20	6	308	49	—	—	—	—	—	—
2018	22	A+ MLE	3 teams	—	589	543	142	27	10	3	34	130	5	39	8	262	311	365	676	103	335	22	6	294	85	—	—	—	—	—	—
2018	22	A+ RAW	3 teams	—	589	526	158	27	12	4	51	101	5	39	8	300	368	420	788	120	362	17	9	349	85	—	—	—	—	—	—
2019	23	AA MLE	Midland RockHounds	—	240	228	58	6	8	3	8	62	1	9	7	254	283	390	673	136	335	26	3	291	83	—	—	—	—	—	—
2019	23	AA RAW	Midland RockHounds	—	240	224	72	9	11	4	12	48	1	9	7	321	359	513	872	192	393	20	5	376	83	—	—	—	—	—	—
2020	24	INTL MLE	Tigres del Licey	—	40	37	8	2	1	0	3	9	0	2	2	216	275	324	599	108	286	22	8	—	—	—	—	—	—	—	—
2020	24	INTL RAW	Tigres del Licey	—	40	37	8	2	1	0	3	9	0	2	2	216	275	324	599	108	286	22	8	270	69	—	—	—	—	—	—
2021	25	AAA MLE	2 teams	—	443	405	95	16	7	4	29	93	2	13	2	235	289	338	627	104	291	21	7	273	71	—	—	—	—	—	—
2021	25	AAA RAW	2 teams	—	443	389	103	18	6	4	45	78	2	13	2	265	344	373	717	108	317	18	10	320	71	—	—	—	—	—	—
2022	26	AAA MLE	3 teams	—	573	524	121	23	10	8	35	129	7	19	5	231	288	359	647	128	288	23	6	281	76	—	—	—	—	—	—
2022	26	AAA RAW	3 teams	—	573	509	138	26	10	9	50	121	7	19	5	271	345	415	759	143	336	21	9	336	76	—	—	—	—	—	—
2023	27	INTL MLE	Tigres del Licey	—	64	54	12	2	1	0	7	8	2	2	1	222	333	296	630	74	255	12	11	—	—	—	—	—	—	—	—
2023	27	INTL RAW	Tigres del Licey	—	64	54	12	2	1	0	7	8	2	2	1	222	333	296	630	74	255	12	11	292	84	—	—	—	—	—	—
2024	28	INTL MLE	Tigres del Licey	—	46	41	8	2	1	0	2	8	0	6	0	195	233	293	525	98	235	17	4	—	—	—	—	—	—	—	—
2024	28	INTL RAW	Tigres del Licey	—	46	41	8	2	1	0	2	8	0	6	0	195	233	293	525	98	235	17	4	220	35	—	—	—	—	—	—
2025	29	INTL MLE	Tigres del Licey	—	28	23	4	1	0	0	4	8	0	2	1	174	296	217	514	43	250	29	14	—	—	—	—	—	—	—	—
2025	29	INTL RAW	Tigres del Licey	—	28	23	4	1	0	0	4	8	0	2	1	174	296	217	514	43	250	29	14	242	50	—	—	—	—	—	—
2013	17	ROK MLE	DSL Athletics	—	149	132	14	3	2	2	13	27	3	3	3	106	204	205	409	98	120	18	9	193	17	—	—	—	—	—	—
2014	18	ROK MLE	DSL Athletics	—	52	49	4	0	0	0	3	15	0	2	0	82	137	82	219		119	29	6	115	-36	—	—	—	—	—	—
2015	19	ROK MLE	AZL Athletics	—	133	125	26	2	1	0	7	38	0	1	0	208	260	240	500	32	283	29	5	231	42	—	—	—	—	—	—
2016	20	A MLE	Beloit Snappers	—	76	73	17	3	2	1	3	23	0	3	1	233	270	370	640	137	317	30	4	264	65	—	—	—	—	—	—
2017	21	A MLE	2 teams	—	425	404	86	11	7	5	15	114	3	16	8	213	248	312	560	99	276	27	4	241	49	—	—	—	—	—	—
2018	22	A+ MLE	3 teams	—	589	545	142	27	10	3	34	130	5	39	8	261	311	363	674	103	331	22	6	294	85	—	—	—	—	—	—
2019	23	AA MLE	Midland RockHounds	—	240	229	58	6	8	3	8	62	1	9	7	253	283	389	671	135	331	26	3	291	83	—	—	—	—	—	—
2021	25	AAA MLE	2 teams	—	443	409	95	16	7	4	29	93	2	13	2	232	289	335	624	103	286	21	7	273	71	—	—	—	—	—	—
2022	26	AAA MLE	3 teams	—	573	526	121	23	10	8	35	129	7	19	5	230	288	357	645	127	284	23	6	281	76	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	85	77	18	5	0	1	6	17	1	3	0	234	298	338	635	104	283	20	7	286	55	-2	+1	+1	-6	+2	-0.5
/ 162G	—	A+C		—	650	589	138	38	0	8	46	130	8	23	0	234	299	340	639	105	283	20	7	286	55	-16	+5	+5	-47	+14	-4.0
Career	—	MLE		—	2858	2626	595	98	50	26	163	664	23	117	38	227	278	332	609	105	289	23	6	249	55	-2	+1	+1	-6	+2	-0.5
/ 162G	—	MLE		—	650	597	135	22	11	6	37	151	5	27	9	226	277	330	607	104	289	23	6	249	55	-16	+5	+5	-47	+14	-4.0

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.

2022 AAALas Vegas Aviators · 348 PAwOBA .330 → .280 (−50)K% 19.5% → 23.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.54%	÷1.009	×1.200	—	—	23.23%
BB% (unintentional) /PA	8.33%	÷0.992	×0.690	—	×1.003	5.81%
HBP% /PA	0.86%	—	×0.940	—	×1.003	0.81%
Singles /BIP	20.90%	÷0.995	×0.930	×1.015	×1.003	19.88%
Doubles /BIP	6.56%	÷1.088	×0.830	×1.015	×1.003	5.09%
Triples /BIP	2.87%	÷0.900	×0.970	×1.015	×1.003	3.15%
Home runs /BIP	3.28%	÷1.075	×0.700	—	×1.003	2.14%

Factors used: league row International League. Park (home-season share, regressed): HR 115, 1B 99, 2B 118, 3B 80, K 102, BB 98 — 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 ×1.015.

Result: wOBA .330 → .280; ISO .173 → .139; BABIP .310 → .284. 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).

2021 AAALas Vegas Aviators · 386 PAwOBA .327 → .273 (−54)K% 17.4% → 21.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.36%	÷0.994	×1.200	—	—	20.95%
BB% (unintentional) /PA	10.10%	÷1.083	×0.690	—	×1.018	6.55%
HBP% /PA	0.26%	—	×0.940	—	×1.018	0.25%
Singles /BIP	24.82%	÷1.156	×0.930	×1.050	×1.018	21.34%
Doubles /BIP	5.84%	÷1.018	×0.830	×1.050	×1.018	5.09%
Triples /BIP	2.19%	÷0.956	×0.920	×1.050	×1.018	2.25%
Home runs /BIP	1.46%	÷0.941	×0.700	—	×1.018	1.11%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 88, 1B 131, 2B 104, 3B 91, K 99, BB 117 — 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 .327 → .273; ISO .117 → .106; BABIP .328 → .286. 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 AAMidland RockHounds · 240 PAwOBA .366 → .291 (−74)K% 20.0% → 25.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.00%	÷0.946	×1.220	—	—	25.78%
BB% (unintentional) /PA	4.58%	÷0.975	×0.700	—	×1.012	3.33%
HBP% /PA	0.42%	—	×0.870	—	×1.012	0.37%
Singles /BIP	27.27%	÷0.999	×0.920	×0.950	×1.012	24.14%
Doubles /BIP	5.11%	÷1.132	×0.840	×0.950	×1.012	3.65%
Triples /BIP	6.25%	÷1.150	×0.940	×0.950	×1.012	4.91%
Home runs /BIP	2.27%	÷0.954	×0.800	—	×1.012	1.93%

Factors used: league row TL. Park (home-season share, regressed): HR 91, 1B 100, 2B 126, 3B 130, K 89, BB 95 — 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 ×0.950.

Result: wOBA .366 → .291; ISO .192 → .146; BABIP .393 → .331. 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 A+Stockton Ports · 351 PAwOBA .336 → .283 (−53)K% 17.9% → 24.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.95%	÷0.972	×1.340	—	—	24.74%
BB% (unintentional) /PA	9.12%	÷1.035	×0.710	—	×0.998	6.24%
HBP% /PA	0.85%	—	×0.790	—	×0.998	0.67%
Singles /BIP	24.40%	÷0.978	×0.910	×1.039	×0.998	23.54%
Doubles /BIP	7.20%	÷0.926	×0.820	×1.039	×0.998	6.61%
Triples /BIP	2.80%	÷1.006	×0.760	×1.039	×0.998	2.19%
Home runs /BIP	1.20%	÷1.244	×0.920	—	×0.998	0.89%

Factors used: league row CAL. Park (home-season share, regressed): HR 149, 1B 96, 2B 85, 3B 101, K 94, BB 107 — applied at half strength. Age: age 23 vs a level average of 22.8 → −0.2% on BB/HBP/hit rates (0.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.039.

Result: wOBA .336 → .283; ISO .131 → .105; BABIP .345 → .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).

2018 AAMidland RockHounds · 144 PAwOBA .358 → .320 (−38)K% 12.5% → 15.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.50%	÷0.968	×1.220	—	—	15.75%
BB% (unintentional) /PA	6.25%	÷0.985	×0.700	—	×1.027	4.56%
HBP% /PA	1.39%	—	×0.870	—	×1.027	1.24%
Singles /BIP	27.43%	÷1.050	×0.920	×1.050	×1.027	25.93%
Doubles /BIP	7.08%	÷1.041	×0.840	×1.050	×1.027	6.16%
Triples /BIP	3.54%	÷1.150	×0.940	×1.050	×1.027	3.12%
Home runs /BIP	0.00%	÷0.922	×0.800	—	×1.027	0.00%

Factors used: league row TL. Park (home-season share, regressed): HR 84, 1B 110, 2B 108, 3B 130, K 94, BB 97 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .358 → .320; ISO .122 → .107; BABIP .377 → .349. 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 ABeloit Snappers · 301 PAwOBA .315 → .249 (−66)K% 20.3% → 26.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.27%	÷1.030	×1.360	—	—	26.77%
BB% (unintentional) /PA	5.32%	÷1.085	×0.690	—	—	3.38%
HBP% /PA	1.00%	—	×0.780	—	—	0.78%
Singles /BIP	24.88%	÷1.059	×0.920	×0.989	—	21.39%
Doubles /BIP	5.99%	÷1.096	×0.830	×0.989	—	4.49%
Triples /BIP	3.23%	÷0.900	×0.910	×0.989	—	3.23%
Home runs /BIP	1.38%	÷1.071	×0.800	—	—	1.03%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 114, 1B 112, 2B 119, 3B 80, K 106, BB 117 — applied at half strength. Age: age 22 vs a level average of 22.0 → +0.0% on BB/HBP/hit rates (0.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.989.

Result: wOBA .315 → .249; ISO .129 → .105; BABIP .341 → .290. 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 A+Stockton Ports · 124 PAwOBA .273 → .221 (−52)K% 20.2% → 26.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.16%	÷1.010	×1.340	—	—	26.75%
BB% (unintentional) /PA	6.45%	÷1.115	×0.710	—	×1.012	4.16%
HBP% /PA	0.00%	—	×0.790	—	×1.012	0.00%
Singles /BIP	22.47%	÷0.979	×0.910	×1.029	×1.012	21.74%
Doubles /BIP	2.25%	÷0.972	×0.820	×1.029	×1.012	1.97%
Triples /BIP	0.00%	÷0.900	×0.760	×1.029	×1.012	0.00%
Home runs /BIP	4.49%	÷1.397	×0.920	—	×1.012	3.00%

Factors used: league row CAL. Park (home-season share, regressed): HR 179, 1B 96, 2B 94, 3B 80, K 102, BB 123 — applied at half strength. Age: age 22 vs a level average of 22.8 → +1.2% on BB/HBP/hit rates (0.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.029.

Result: wOBA .273 → .221; ISO .123 → .082; BABIP .256 → .242. 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 ABeloit Snappers · 76 PAwOBA .324 → .264 (−60)K% 22.4% → 30.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.37%	÷0.991	×1.360	—	—	30.71%
BB% (unintentional) /PA	5.26%	÷1.100	×0.690	—	×1.015	3.35%
HBP% /PA	0.00%	—	×0.780	—	×1.015	0.00%
Singles /BIP	24.53%	÷1.058	×0.920	×0.986	×1.015	21.34%
Doubles /BIP	7.55%	÷0.940	×0.830	×0.986	×1.015	6.67%
Triples /BIP	3.77%	÷0.900	×0.910	×0.986	×1.015	3.82%
Home runs /BIP	1.89%	÷1.025	×0.800	—	×1.015	1.50%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 105, 1B 112, 2B 88, 3B 80, K 98, BB 120 — applied at half strength. Age: age 21 vs a level average of 22.0 → +1.5% on BB/HBP/hit rates (1.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.986.

Result: wOBA .324 → .264; ISO .157 → .135; BABIP .358 → .317. 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 — .