Hanser Alberto

Pos3B

B/TR/R

Born1992-10-17

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
2023	30	INTLGigantes del …	74	.266/.347/.391	1	0	107	—
2023	30	MLBCWS	90	.220/.264/.390	3	0	75	-0.3
2024	31	INTLGigantes del …	35	.188/.257/.250	0	0	47	—
2025	32	INTLGigantes del …	42	.184/.205/.237	0	1	12	—
2026	33	No MLB games played

Last 3 seasons WAR -0.3

Contract

No contract data on file.

Skills · percentileStatcast 2021-2023

xwOBA21

Barrel%13

Avg EV10

Speed10

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	DSL Rangers	—	196	179	64	15	2	0	6	9	2	16	3	358	385	464	849	106	368	5	3	361	53	—	—	—	—	—	—
2012	19	A+	Myrtle Beach Pelicans	—	290	279	74	11	2	4	2	27	3	9	3	265	278	362	640	97	277	9	1	279	49	—	—	—	—	—	—
2012	19	A	Hickory Crawdads	—	272	246	83	17	1	4	18	22	3	15	4	337	390	463	853	126	354	8	7	374	94	—	—	—	—	—	—
2012	19	INTL	Gigantes del Cibao	—	97	90	30	4	2	0	4	6	2	4	4	333	375	422	797	89	353	6	4	354	126	—	—	—	—	—	—
2013	20	AA	Frisco RoughRiders	—	384	356	76	6	4	4	16	41	5	13	5	213	257	287	544	73	227	11	4	243	40	—	—	—	—	—	—
2013	20	A+	Myrtle Beach Pelicans	—	104	97	25	5	0	0	4	8	2	3	1	258	301	309	610	52	281	8	4	277	46	—	—	—	—	—	—
2013	20	INTL	Gigantes del Cibao	—	63	60	11	1	0	0	2	7	0	3	0	183	210	200	410	17	204	11	3	186	12	—	—	—	—	—	—
2014	21	AA	Frisco RoughRiders	—	190	178	49	6	1	2	6	17	4	6	4	275	314	354	668	79	296	9	3	299	61	—	—	—	—	—	—
2014	21	A+	Myrtle Beach Pelicans	—	285	262	71	15	3	5	10	25	3	10	4	271	305	408	714	137	280	9	4	306	73	—	—	—	—	—	—
2014	21	INTL	Gigantes del Cibao	—	90	77	30	7	0	1	5	11	2	5	1	390	440	519	960	130	426	12	6	399	156	—	—	—	—	—	—
2015	22	MLB	Texas Rangers	—	104	99	22	2	1	0	2	17	0	1	0	222	238	263	500	40	268	16	2	219	32	-8	+0	+4	+2	+2	0.0
2015	22	AAA	Round Rock Express	—	330	310	96	19	4	4	9	33	2	5	5	310	333	435	769	126	335	10	3	331	82	—	—	—	—	—	—
2015	22	INTL	Gigantes del Cibao	—	169	154	56	8	1	1	9	17	2	5	3	364	406	448	854	84	404	10	5	375	140	—	—	—	—	—	—
2016	23	MLB	Texas Rangers	—	58	56	8	1	0	0	0	17	0	1	0	143	143	161	304	18	205	29	0	131	-26	-9	+0	+1	+4	+1	-0.1
2016	23	AAA	Round Rock Express	—	277	265	73	13	1	7	8	29	2	2	2	275	302	411	713	136	288	10	3	314	77	—	—	—	—	—	—
2016	23	INTL	Gigantes del Cibao	—	70	65	25	2	0	2	2	7	1	1	0	385	412	508	919	123	404	10	3	398	156	—	—	—	—	—	—
2017	24	INTL	Gigantes del Cibao	—	33	30	10	3	0	0	1	2	0	0	0	333	355	433	788	100	357	6	3	330	109	—	—	—	—	—	—
2018	25	MLB	Texas Rangers	—	30	27	5	2	0	0	2	4	0	0	1	185	241	259	501	74	217	13	7	223	30	-2	-0	+0	+6	+1	0.5
2018	25	AAA	Round Rock Express	—	384	361	119	17	3	7	9	28	3	0	3	330	351	452	803	122	337	7	2	346	99	—	—	—	—	—	—
2018	25	INTL	Gigantes del Cibao	—	186	171	55	9	0	1	10	15	2	2	1	322	366	392	758	70	348	8	5	338	115	—	—	—	—	—	—
2019	26	MLB	Baltimore Orioles	—	550	524	160	21	2	12	16	50	4	4	4	305	331	422	753	116	318	9	3	332	106	+4	-1	+4	+2	+12	2.2
2020	27	MLB	Baltimore Orioles	—	231	219	62	15	0	3	5	30	3	3	0	283	308	393	701	110	314	13	2	307	92	-2	+1	-2	+1	+5	0.2
2021	28	MLB	Kansas City Royals	—	255	241	65	20	3	2	4	26	4	3	1	270	293	402	696	133	293	10	2	300	91	-3	+0	+0	+2	+6	0.5
2021	28	INTL	Dominican Republic	—	207	194	61	10	1	0	8	11	3	1	1	314	351	376	728	62	330	5	4	326	107	—	—	—	—	—	—
2022	29	MLB	Los Angeles Dodgers	—	159	156	38	9	2	2	3	25	0	0	1	244	258	365	623	122	279	16	2	275	78	-4	-0	-3	+1	+3	-0.3
2022	29	INTL	Gigantes del Cibao	—	100	94	23	7	0	1	4	9	2	2	0	245	290	351	641	106	262	9	4	289	82	—	—	—	—	—	—
2023	30	MLB	Chicago White Sox	—	90	82	18	5	0	3	4	13	1	0	0	220	264	390	655	171	224	14	4	280	75	-3	+0	-3	+1	+2	-0.3
2023	30	INTL	Gigantes del Cibao	—	74	64	17	5	0	1	6	7	2	0	1	266	347	391	738	125	286	9	8	326	107	—	—	—	—	—	—
2024	31	INTL	Gigantes del Cibao	—	35	32	6	2	0	0	2	4	1	0	0	188	257	250	507	62	214	11	6	238	47	—	—	—	—	—	—
2025	32	INTL	Gigantes del Cibao	—	42	38	7	2	0	0	1	9	0	1	0	184	205	237	442	53	233	21	2	185	12	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	1477	1404	378	75	8	22	36	182	12	12	7	269	293	381	674	112	295	12	2	295	86	-25	-0	+3	+19	+32	2.9
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2010	17	ROK MLE	DSL Rangers	—	196	183	45	10	1	0	2	11	2	16	3	246	262	311	574	66	244	6	1	247	53	—	—	—	—	—	—
2012	19	A+ MLE	Myrtle Beach Pelicans	—	290	280	65	9	1	3	1	38	3	9	3	232	243	304	547	71	251	13	0	241	49	—	—	—	—	—	—
2012	19	A MLE	Hickory Crawdads	—	272	253	73	14	1	3	11	31	3	15	4	289	326	387	713	99	306	11	4	307	94	—	—	—	—	—	—
2013	20	AA MLE	Frisco RoughRiders	—	384	362	77	5	4	3	10	51	5	13	5	213	244	273	518	61	231	13	3	228	40	—	—	—	—	—	—
2013	20	A+ MLE	Myrtle Beach Pelicans	—	104	98	22	4	0	0	3	11	2	3	1	224	262	265	527	41	256	11	3	236	46	—	—	—	—	—	—
2014	21	AA MLE	Frisco RoughRiders	—	190	180	45	6	1	1	4	21	4	6	4	250	282	311	593	61	273	11	2	259	61	—	—	—	—	—	—
2014	21	A+ MLE	Myrtle Beach Pelicans	—	285	265	68	13	3	5	7	37	3	10	4	257	284	385	669	128	263	13	2	276	73	—	—	—	—	—	—
2015	22	MLB MLE	Texas Rangers	—	104	99	22	2	1	0	2	17	0	1	0	222	238	263	500	40	268	16	2	215	32	-8	+0	+4	+2	+2	0.0
2015	22	AAA MLE	Round Rock Express	—	330	313	89	16	4	3	6	41	2	5	5	284	302	390	692	105	306	12	2	290	82	—	—	—	—	—	—
2016	23	MLB MLE	Texas Rangers	—	58	56	8	1	0	0	0	17	0	1	0	143	143	161	304	18	205	29	0	129	-26	-9	+0	+1	+4	+1	-0.1
2016	23	AAA MLE	Round Rock Express	—	277	267	69	10	1	7	6	37	2	2	2	258	280	382	662	124	277	13	2	282	77	—	—	—	—	—	—
2018	25	MLB MLE	Texas Rangers	—	30	27	5	2	0	0	2	4	0	0	1	185	241	259	501	74	217	13	7	213	30	-2	-0	+0	+6	+1	0.5
2018	25	AAA MLE	Round Rock Express	—	384	364	113	14	3	6	6	34	3	0	3	310	327	415	742	104	313	9	2	315	99	—	—	—	—	—	—
2019	26	MLB MLE	Baltimore Orioles	—	550	525	158	21	2	11	15	50	4	4	4	301	325	411	737	110	318	9	3	325	106	+4	-1	+4	+2	+12	2.2
2020	27	MLB MLE	Baltimore Orioles	—	231	219	62	15	0	3	5	30	3	3	0	283	308	393	701	110	314	13	2	305	92	-2	+1	-2	+1	+5	0.2
2021	28	MLB MLE	Kansas City Royals	—	255	241	65	20	3	2	4	26	4	3	1	270	293	402	696	133	293	10	2	302	91	-3	+0	+0	+2	+6	0.5
2022	29	MLB MLE	Los Angeles Dodgers	—	159	156	39	10	2	2	3	25	0	0	1	250	264	378	642	128	279	16	2	284	78	-4	-0	-3	+1	+3	-0.3
2023	30	MLB MLE	Chicago White Sox	—	90	82	18	5	0	3	4	13	1	0	0	220	264	390	655	171	224	14	4	279	75	-3	+0	-3	+1	+2	-0.3
2010	17	ROK MLE	DSL Rangers	—	196	183	45	10	1	0	2	11	2	16	3	246	262	311	574	66	256	6	1	247	53	—	—	—	—	—	—
2010	17	ROK RAW	DSL Rangers	—	196	179	64	15	2	0	6	9	2	16	3	358	385	464	849	106	368	5	3	361	53	—	—	—	—	—	—
2012	19	A+ MLE	3 teams	—	659	625	163	27	3	7	14	81	8	28	11	261	286	347	633	86	286	12	2	273	71	—	—	—	—	—	—
2012	19	A+ RAW	3 teams	—	659	615	187	32	5	8	24	55	8	28	11	304	338	411	750	107	319	8	4	329	71	—	—	—	—	—	—
2013	20	AA MLE	3 teams	—	551	521	113	11	5	3	14	70	7	19	6	217	247	274	522	58	242	13	3	230	42	—	—	—	—	—	—
2013	20	AA RAW	3 teams	—	551	513	112	12	4	4	22	56	7	19	6	218	260	281	541	62	235	10	4	243	42	—	—	—	—	—	—
2014	21	A+ MLE	3 teams	—	565	525	134	22	5	7	13	69	9	21	9	255	285	356	641	101	279	12	2	269	68	—	—	—	—	—	—
2014	21	A+ RAW	3 teams	—	565	517	150	28	4	8	21	53	9	21	9	290	329	406	735	116	307	9	4	318	68	—	—	—	—	—	—
2015	22	AAA MLE	3 teams	—	603	572	154	25	7	4	11	81	4	11	8	269	288	358	646	89	307	13	2	272	70	—	—	—	—	—	—
2015	22	AAA RAW	3 teams	—	603	563	174	29	6	5	20	67	4	11	8	309	337	409	746	99	343	11	3	324	70	—	—	—	—	—	—
2016	23	AAA MLE	3 teams	—	405	389	93	13	1	8	7	66	3	4	2	239	258	339	597	100	269	16	2	256	59	—	—	—	—	—	—
2016	23	AAA RAW	3 teams	—	405	386	106	16	1	9	10	53	3	4	2	275	298	391	689	117	298	13	2	302	59	—	—	—	—	—	—
2017	24	INTL MLE	Gigantes del Cibao	—	33	30	10	3	0	0	1	2	0	0	0	333	355	433	788	100	357	6	3	—	—	—	—	—	—	—	—
2017	24	INTL RAW	Gigantes del Cibao	—	33	30	10	3	0	0	1	2	0	0	0	333	355	433	788	100	357	6	3	330	109	—	—	—	—	—	—
2018	25	AAA MLE	3 teams	—	600	569	169	23	4	8	11	55	5	2	5	297	316	394	710	97	314	9	2	308	94	—	—	—	—	—	—
2018	25	AAA RAW	3 teams	—	600	559	179	28	3	8	21	47	5	2	5	320	350	424	774	104	335	8	4	337	94	—	—	—	—	—	—
2019	26	MLB MLE	Baltimore Orioles	—	550	525	158	21	2	11	15	50	4	4	4	301	325	411	737	110	315	9	3	325	106	+4	-1	+4	+2	+12	2.2
2019	26	MLB RAW	Baltimore Orioles	—	550	524	160	21	2	12	16	50	4	4	4	305	331	422	753	116	318	9	3	332	106	+4	-1	+4	+2	+12	2.2
2020	27	MLB MLE	Baltimore Orioles	—	231	219	62	15	0	3	5	30	3	3	0	283	308	393	701	110	314	13	2	305	92	-2	+1	-2	+1	+5	0.2
2020	27	MLB RAW	Baltimore Orioles	—	231	219	62	15	0	3	5	30	3	3	0	283	308	393	701	110	314	13	2	307	92	-2	+1	-2	+1	+5	0.2
2021	28	MLB MLE	2 teams	—	462	440	118	36	5	4	7	47	7	4	2	268	291	400	691	132	290	10	2	302	91	-5	+0	+0	+2	+10	0.7
2021	28	MLB RAW	2 teams	—	462	435	126	30	4	2	12	37	7	4	2	290	319	391	710	101	310	8	3	312	91	-5	+0	+0	+2	+10	0.7
2022	29	MLB MLE	2 teams	—	259	252	64	16	4	3	5	41	2	2	1	254	274	385	659	131	293	16	2	284	78	-7	+0	-3	+1	+6	-0.3
2022	29	MLB RAW	2 teams	—	259	250	61	16	2	3	7	34	2	2	1	244	270	360	630	116	272	13	3	280	78	-7	+0	-3	+1	+6	-0.3
2023	30	MLB MLE	2 teams	—	164	149	32	9	0	5	7	24	3	0	1	215	264	376	640	161	223	15	4	279	75	-5	-0	-3	+1	+4	-0.4
2023	30	MLB RAW	2 teams	—	164	146	35	10	0	4	10	20	3	0	1	240	302	390	692	151	252	12	6	301	75	-5	-0	-3	+1	+4	-0.4
2024	31	INTL MLE	Gigantes del Cibao	—	35	32	6	2	0	0	2	4	1	0	0	188	257	250	507	62	214	11	6	—	—	—	—	—	—	—	—
2024	31	INTL RAW	Gigantes del Cibao	—	35	32	6	2	0	0	2	4	1	0	0	188	257	250	507	62	214	11	6	238	47	—	—	—	—	—	—
2025	32	INTL MLE	Gigantes del Cibao	—	42	38	7	2	0	0	1	9	0	1	0	184	205	237	442	53	233	21	2	—	—	—	—	—	—	—	—
2025	32	INTL RAW	Gigantes del Cibao	—	42	38	7	2	0	0	1	9	0	1	0	184	205	237	442	53	233	21	2	185	12	—	—	—	—	—	—
2010	17	ROK MLE	DSL Rangers	—	196	190	45	10	1	0	2	11	2	16	3	237	262	300	562	63	244	6	1	247	53	—	—	—	—	—	—
2012	19	A+ MLE	3 teams	—	659	632	163	27	3	7	14	81	8	28	11	258	286	343	629	85	278	12	2	273	71	—	—	—	—	—	—
2013	20	AA MLE	3 teams	—	551	525	113	11	5	3	14	70	7	19	6	215	247	272	520	57	236	13	3	230	42	—	—	—	—	—	—
2014	21	A+ MLE	3 teams	—	565	538	134	22	5	7	13	69	9	21	9	249	285	348	633	99	267	12	2	269	68	—	—	—	—	—	—
2015	22	AAA MLE	3 teams	—	603	583	154	25	7	4	11	81	4	11	8	264	288	352	640	87	297	13	2	272	70	—	—	—	—	—	—
2016	23	AAA MLE	3 teams	—	405	392	93	13	1	8	7	66	3	4	2	237	258	337	595	99	265	16	2	256	59	—	—	—	—	—	—
2018	25	AAA MLE	3 teams	—	600	579	169	23	4	8	11	55	5	2	5	292	316	387	703	95	306	9	2	308	94	—	—	—	—	—	—
2019	26	MLB MLE	Baltimore Orioles	—	550	526	158	21	2	11	15	50	4	4	4	300	325	411	736	110	318	9	3	325	106	—	—	—	—	—	—
2020	27	MLB MLE	Baltimore Orioles	—	231	221	62	15	0	3	5	30	3	3	0	281	308	389	698	109	314	13	2	305	92	—	—	—	—	—	—
2021	28	MLB MLE	2 teams	—	462	445	118	36	5	4	7	47	7	4	2	265	291	396	686	130	293	10	2	302	91	—	—	—	—	—	—
2022	29	MLB MLE	2 teams	—	259	250	64	16	4	3	5	41	2	2	1	256	274	388	662	132	279	16	2	284	78	—	—	—	—	—	—
2023	30	MLB MLE	2 teams	—	164	153	32	9	0	5	7	24	3	0	1	209	264	366	630	157	224	15	4	279	75	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1477	1404	378	75	8	22	36	182	12	12	7	269	293	381	674	112	295	12	2	295	72	-25	-0	+3	+19	+32	2.9
/ 162G	—	A+C		—	650	618	167	33	4	10	16	80	5	5	3	270	294	385	679	115	295	12	2	295	72	-11	-0	+1	+8	+14	1.3
Career	—	MLE		—	5355	5069	1328	235	37	63	115	640	58	115	52	262	286	360	647	98	287	12	2	274	72	-25	-0	+3	+19	+32	2.9
/ 162G	—	MLE		—	650	615	162	29	4	8	14	78	7	14	6	263	288	363	650	99	288	12	2	274	72	-11	-0	+1	+8	+14	1.3

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.

2018 AAARound Rock Express · 384 PAwOBA .341 → .315 (−26)K% 7.3% → 8.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	7.29%	÷1.055	×1.290	—	—	8.91%
BB% (unintentional) /PA	2.08%	÷0.978	×0.710	—	×1.018	1.54%
HBP% /PA	0.78%	—	×0.980	—	×1.018	0.78%
Singles /BIP	27.63%	÷0.962	×0.900	×1.000	×1.018	26.31%
Doubles /BIP	5.11%	÷1.019	×0.810	×1.000	×1.018	4.13%
Triples /BIP	0.90%	÷0.900	×0.810	×1.000	×1.018	0.83%
Home runs /BIP	2.10%	÷0.978	×0.780	—	×1.018	1.71%

Factors used: league row PCL. Park (home-season share, regressed): HR 96, 1B 92, 2B 104, 3B 80, K 111, BB 96 — 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 ×1.000.

Result: wOBA .341 → .315; ISO .122 → .103; BABIP .337 → .313. 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 AAARound Rock Express · 277 PAwOBA .305 → .282 (−23)K% 10.5% → 13.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	10.47%	÷1.004	×1.290	—	—	13.46%
BB% (unintentional) /PA	2.89%	÷1.039	×0.710	—	×1.048	2.07%
HBP% /PA	0.72%	—	×0.980	—	×1.048	0.74%
Singles /BIP	22.03%	÷0.949	×0.900	×1.011	×1.048	22.14%
Doubles /BIP	5.51%	÷1.079	×0.810	×1.011	×1.048	4.38%
Triples /BIP	0.42%	÷0.977	×0.810	×1.011	×1.048	0.37%
Home runs /BIP	2.97%	÷0.839	×0.780	—	×1.048	2.89%

Factors used: league row PCL. Park (home-season share, regressed): HR 68, 1B 90, 2B 116, 3B 95, K 101, BB 108 — 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 ×1.011.

Result: wOBA .305 → .282; ISO .136 → .121; BABIP .288 → .277. 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 AAARound Rock Express · 330 PAwOBA .323 → .290 (−33)K% 10.0% → 12.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	10.00%	÷1.031	×1.290	—	—	12.51%
BB% (unintentional) /PA	2.42%	÷1.014	×0.710	—	×1.050	1.78%
HBP% /PA	0.61%	—	×0.980	—	×1.050	0.62%
Singles /BIP	24.91%	÷1.007	×0.900	×1.001	×1.050	23.42%
Doubles /BIP	6.86%	÷1.029	×0.810	×1.001	×1.050	5.68%
Triples /BIP	1.44%	÷0.900	×0.810	×1.001	×1.050	1.37%
Home runs /BIP	1.44%	÷1.184	×0.780	—	×1.050	1.00%

Factors used: league row PCL. Park (home-season share, regressed): HR 137, 1B 101, 2B 106, 3B 80, K 106, BB 103 — 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 ×1.001.

Result: wOBA .323 → .290; ISO .126 → .103; BABIP .335 → .306. 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 A+Myrtle Beach Pelicans · 285 PAwOBA .301 → .276 (−25)K% 8.8% → 13.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	8.77%	÷0.957	×1.420	—	—	13.02%
BB% (unintentional) /PA	3.51%	÷0.954	×0.630	—	×1.012	2.34%
HBP% /PA	1.05%	—	×0.860	—	×1.012	0.92%
Singles /BIP	20.25%	÷0.984	×0.940	×1.009	×1.012	19.75%
Doubles /BIP	6.33%	÷1.007	×0.830	×1.009	×1.012	5.33%
Triples /BIP	1.27%	÷0.900	×0.800	×1.009	×1.012	1.15%
Home runs /BIP	2.11%	÷0.971	×0.900	—	×1.012	1.98%

Factors used: league row CAR. Park (home-season share, regressed): HR 94, 1B 97, 2B 101, 3B 80, K 91, BB 91 — 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 ×1.009.

Result: wOBA .301 → .276; ISO .137 → .123; BABIP .280 → .263. 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 · 190 PAwOBA .291 → .259 (−32)K% 8.9% → 11.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	8.95%	÷0.983	×1.220	—	—	11.10%
BB% (unintentional) /PA	3.16%	÷1.055	×0.700	—	×1.042	2.18%
HBP% /PA	2.11%	—	×0.870	—	×1.042	1.91%
Singles /BIP	24.84%	÷1.030	×0.920	×0.986	×1.042	22.81%
Doubles /BIP	3.73%	÷0.890	×0.840	×0.986	×1.042	3.62%
Triples /BIP	0.62%	÷0.921	×0.940	×0.986	×1.042	0.65%
Home runs /BIP	1.24%	÷1.322	×0.800	—	×1.042	0.78%

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 22 vs a level average of 24.8 → +4.2% on BB/HBP/hit rates (2.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.986.

Result: wOBA .291 → .259; ISO .079 → .066; BABIP .296 → .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).

2013 AAFrisco RoughRiders · 384 PAwOBA .239 → .228 (−11)K% 10.7% → 13.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	10.68%	÷0.984	×1.220	—	—	13.24%
BB% (unintentional) /PA	3.91%	÷1.162	×0.700	—	×1.050	2.47%
HBP% /PA	1.30%	—	×0.870	—	×1.050	1.19%
Singles /BIP	19.68%	÷0.933	×0.920	×1.000	×1.050	20.38%
Doubles /BIP	1.90%	÷1.035	×0.840	×1.000	×1.050	1.62%
Triples /BIP	1.27%	÷0.986	×0.940	×1.000	×1.050	1.27%
Home runs /BIP	1.27%	÷1.114	×0.800	—	×1.050	0.96%

Factors used: league row TL. Park (home-season share, regressed): HR 123, 1B 87, 2B 107, 3B 97, K 97, BB 132 — 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 ×1.000.

Result: wOBA .239 → .228; ISO .073 → .063; BABIP .227 → .231. 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 A+Myrtle Beach Pelicans · 104 PAwOBA .270 → .236 (−34)K% 7.7% → 10.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	7.69%	÷1.031	×1.420	—	—	10.59%
BB% (unintentional) /PA	3.85%	÷1.000	×0.630	—	×1.027	2.49%
HBP% /PA	1.92%	—	×0.860	—	×1.027	1.70%
Singles /BIP	22.47%	÷1.072	×0.940	×1.029	×1.027	20.82%
Doubles /BIP	5.62%	÷1.039	×0.830	×1.029	×1.027	4.74%
Triples /BIP	0.00%	÷1.085	×0.800	×1.029	×1.027	0.00%
Home runs /BIP	0.00%	÷0.847	×0.900	—	×1.027	0.00%

Factors used: league row CAR. Park (home-season share, regressed): HR 69, 1B 114, 2B 108, 3B 117, K 106, BB 100 — applied at half strength. Age: age 21 vs a level average of 22.8 → +2.7% on BB/HBP/hit rates (1.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.029.

Result: wOBA .270 → .236; ISO .052 → .043; BABIP .281 → .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).

2012 A+Myrtle Beach Pelicans · 290 PAwOBA .276 → .241 (−35)K% 9.3% → 13.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	9.31%	÷1.013	×1.420	—	—	13.05%
BB% (unintentional) /PA	0.69%	÷1.102	×0.630	—	×1.042	0.41%
HBP% /PA	1.03%	—	×0.860	—	×1.042	0.93%
Singles /BIP	22.62%	÷1.013	×0.940	×0.960	×1.042	21.00%
Doubles /BIP	4.37%	÷0.981	×0.830	×0.960	×1.042	3.69%
Triples /BIP	0.79%	÷1.150	×0.800	×0.960	×1.042	0.55%
Home runs /BIP	1.59%	÷1.163	×0.900	—	×1.042	1.28%

Factors used: league row CAR. Park (home-season share, regressed): HR 133, 1B 103, 2B 96, 3B 130, K 103, BB 120 — applied at half strength. Age: age 20 vs a level average of 22.8 → +4.2% on BB/HBP/hit rates (2.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.960.

Result: wOBA .276 → .241; ISO .097 → .077; BABIP .277 → .251. 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 — .