Jonathan Villar

Pos2B

B/TS/R

Born1991-05-02

Age (2027)36

No MLB projection yet. Career stats below are historical.

Overview

INTLLAST SEASON 2024

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2022	31	AAASEA	155	.283/.329/.497	6	10	82	—	.242/.271/.389
2022	31	MLBLAA	220	.208/.263/.302	3	7	58	-1.5
2023	32	INTLLeones del Ca…	76	.203/.276/.246	0	6	53	—
2024	33	INTLAguilas Cibae…	177	.252/.329/.329	3	6	87	—
2025	34	No MLB games played
2026	35	No MLB games played

Last 3 seasons WAR -1.5

Contract

No contract data on file.

Skills · percentileStatcast 2020-2022

Avg EV36

Speed36

xwOBA29

Barrel%25

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)
2008	17	ROK	DSL Phillies	—	255	214	58	6	3	1	30	56	4	27	8	271	371	341	712	70	356	22	12	321	34	—	—	—	—	—	—
2009	18	ROK	GCL Phillies	—	111	94	26	7	1	0	13	24	1	11	2	277	370	372	743	96	361	22	12	331	50	—	—	—	—	—	—
2010	19	A+	Lancaster JetHawks	—	143	129	29	6	2	3	12	50	1	7	2	225	296	372	668	147	338	35	8	298	30	—	—	—	—	—	—
2010	19	A	Lakewood BlueClaws	—	420	371	101	18	4	2	26	103	8	38	13	272	333	358	692	86	369	25	6	303	71	—	—	—	—	—	—
2011	20	AA	Corpus Christi Hooks	—	367	324	75	16	2	10	29	100	4	14	6	231	303	386	688	154	301	27	8	301	61	—	—	—	—	—	—
2011	20	A+	Lancaster JetHawks	—	207	174	45	7	4	4	25	56	2	20	6	259	358	414	772	155	350	27	12	337	70	—	—	—	—	—	—
2011	20	INTL	Aguilas Cibaenas	—	42	36	4	0	0	0	5	15	1	5	0	111	238	111	349		190	36	12	187	13	—	—	—	—	—	—
2012	21	AA	Corpus Christi Hooks	—	377	326	85	7	2	11	35	87	4	39	8	261	340	396	735	135	319	23	9	322	79	—	—	—	—	—	—
2012	21	INTL	Aguilas Cibaenas	—	38	30	10	0	1	0	4	8	0	6	2	333	412	400	812	67	455	21	11	330	110	—	—	—	—	—	—
2013	22	MLB	Houston Astros	—	241	210	51	9	2	1	24	71	0	18	8	243	321	319	640	76	362	29	10	286	75	-7	+0	-6	+8	+5	0.0
2013	22	AAA	Oklahoma City RedHawks	—	386	339	94	16	8	8	32	93	2	31	7	277	343	442	786	165	358	24	8	337	79	—	—	—	—	—	—
2013	22	INTL	Aguilas Cibaenas	—	89	72	19	5	2	0	12	24	0	8	4	264	369	389	758	125	388	27	13	325	106	—	—	—	—	—	—
2014	23	MLB	Houston Astros	—	289	263	55	13	2	7	19	80	2	17	4	209	268	354	621	144	271	28	7	274	68	-11	+2	-3	+7	+6	0.1
2014	23	AAA	Oklahoma City RedHawks	—	225	190	49	2	3	3	31	61	1	24	6	258	365	347	712	89	362	27	14	325	68	—	—	—	—	—	—
2014	23	INTL	Dominican Republic	—	166	144	33	5	0	3	17	40	2	9	6	229	319	326	645	97	294	24	10	293	84	—	—	—	—	—	—
2015	24	MLB	Houston Astros	—	128	116	33	7	1	2	10	29	0	7	2	284	341	414	755	129	360	23	8	332	108	+1	+1	-4	+6	+3	0.7
2015	24	AAA	Fresno Grizzlies	—	313	280	76	13	5	5	27	77	3	35	9	271	342	407	749	136	359	25	9	333	76	—	—	—	—	—	—
2015	24	INTL	Aguilas Cibaenas	—	130	106	28	7	1	0	21	28	1	12	2	264	391	349	740	85	354	22	16	339	116	—	—	—	—	—	—
2016	25	MLB	Milwaukee Brewers	—	679	589	168	38	3	19	79	174	2	62	18	285	372	457	828	171	372	26	12	365	132	+26	+5	-13	+8	+15	4.1
2016	25	INTL	Aguilas Cibaenas	—	28	25	6	0	0	2	2	7	0	1	1	240	296	480	776	240	235	25	7	328	108	—	—	—	—	—	—
2017	26	MLB	Milwaukee Brewers	—	436	403	97	18	1	11	30	132	0	23	8	241	293	372	666	132	330	30	7	296	87	-7	+1	+2	+2	+9	0.7
2017	26	A	Wisconsin Timber Rattlers	—	15	13	8	1	1	0	1	3	0	0	1	615	643	846	1.489	231	727	20	7	602	262	—	—	—	—	—	—
2018	27	MLB	Baltimore Orioles	—	515	466	121	14	1	14	41	138	5	35	5	260	326	384	710	124	339	27	8	319	98	-1	+5	+1	+2	+11	1.8
2019	28	MLB	Baltimore Orioles	—	714	642	176	33	5	24	61	176	4	40	9	274	340	453	794	179	341	25	9	349	117	+15	+4	-6	+3	+15	3.2
2020	29	MLB	Toronto Blue Jays	—	207	185	43	5	0	2	19	54	0	16	5	232	304	292	596	59	313	26	9	273	68	-8	+1	-8	+1	+4	-1.0
2020	29	INTL	Dominican Republic	—	25	22	3	1	0	0	3	6	0	0	0	136	240	182	422	45	188	24	12	207	27	—	—	—	—	—	—
2021	30	MLB	New York Mets	—	505	454	113	18	2	18	46	132	3	14	7	249	322	416	738	167	312	26	9	329	111	+7	+0	-0	+2	+11	1.9
2022	31	MLB	Los Angeles Angels	—	220	202	42	6	2	3	15	59	0	7	0	208	263	302	565	94	275	27	7	253	58	-11	+1	-11	+1	+5	-1.5
2022	31	AAA	Tacoma Rainiers	—	155	145	41	9	2	6	10	34	0	10	3	283	329	497	826	214	333	22	6	361	82	—	—	—	—	—	—
2023	32	INTL	Leones del Caracas	—	76	69	14	3	0	0	6	20	1	6	0	203	276	246	523	43	286	26	8	246	53	—	—	—	—	—	—
2024	33	INTL	Aguilas Cibaenas	—	177	155	39	3	0	3	18	33	0	6	7	252	329	329	659	77	300	19	10	297	87	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	3934	3530	899	161	19	101	344	1045	16	239	66	255	324	397	720	142	332	27	9	320	103	+12	+21	-48	+39	+85	11.2
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2008	17	ROK MLE	DSL Phillies	—	255	223	40	4	2	0	21	68	4	27	8	179	262	215	477	36	239	27	8	218	34	—	—	—	—	—	—
2009	18	ROK MLE	GCL Phillies	—	111	99	21	5	1	0	8	35	1	11	2	212	278	283	561	71	292	32	7	242	50	—	—	—	—	—	—
2010	19	A+ MLE	Lancaster JetHawks	—	143	131	20	4	1	2	10	71	1	7	2	153	218	244	463	92	307	50	7	213	30	—	—	—	—	—	—
2010	19	A MLE	Lakewood BlueClaws	—	420	380	98	17	3	2	17	138	8	38	13	258	304	334	638	76	373	33	4	273	71	—	—	—	—	—	—
2011	20	AA MLE	Corpus Christi Hooks	—	367	334	70	16	2	8	19	119	4	14	6	210	261	341	602	132	284	32	5	258	61	—	—	—	—	—	—
2011	20	A+ MLE	Lancaster JetHawks	—	207	182	39	5	3	4	17	78	2	20	6	214	289	341	629	126	322	38	8	271	70	—	—	—	—	—	—
2012	21	AA MLE	Corpus Christi Hooks	—	377	337	83	6	2	8	24	108	4	39	8	246	304	347	651	101	317	29	6	285	79	—	—	—	—	—	—
2013	22	MLB MLE	Houston Astros	—	241	211	51	9	2	1	23	71	0	18	8	242	316	318	634	76	362	29	10	280	75	-7	+0	-6	+8	+5	0.0
2013	22	AAA MLE	Oklahoma City RedHawks	—	386	347	85	13	7	6	24	128	2	31	7	245	298	375	672	130	347	33	6	285	79	—	—	—	—	—	—
2014	23	MLB MLE	Houston Astros	—	289	264	54	12	2	7	18	80	2	17	4	205	261	345	605	140	271	28	6	269	68	-11	+2	-3	+7	+6	0.1
2014	23	AAA MLE	Oklahoma City RedHawks	—	225	197	44	2	2	2	24	79	1	24	6	223	311	284	595	61	346	35	11	269	68	—	—	—	—	—	—
2015	24	MLB MLE	Houston Astros	—	128	116	33	7	1	2	10	29	0	7	2	284	341	414	755	129	360	23	8	329	108	+1	+1	-4	+6	+3	0.7
2015	24	AAA MLE	Fresno Grizzlies	—	313	287	69	10	4	4	20	97	3	35	9	240	297	345	642	105	348	31	6	281	76	—	—	—	—	—	—
2016	25	MLB MLE	Milwaukee Brewers	—	679	593	171	41	3	18	75	174	2	62	18	288	370	459	829	170	372	26	11	363	132	+26	+5	-13	+8	+15	4.1
2017	26	MLB MLE	Milwaukee Brewers	—	436	404	97	19	1	10	29	132	0	23	8	240	291	366	657	126	330	30	7	297	87	-7	+1	+2	+2	+9	0.7
2017	26	A MLE	Wisconsin Timber Rattlers	—	15	13	8	1	1	0	1	4	0	0	1	615	643	846	1.489	231	647	27	7	556	262	—	—	—	—	—	—
2018	27	MLB MLE	Baltimore Orioles	—	515	466	119	14	1	13	41	138	5	35	5	255	322	373	696	118	339	27	8	312	98	-1	+5	+1	+2	+11	1.8
2019	28	MLB MLE	Baltimore Orioles	—	714	643	174	34	5	22	61	176	4	40	9	271	338	442	779	171	341	25	9	342	117	+15	+4	-6	+3	+15	3.2
2020	29	MLB MLE	Toronto Blue Jays	—	207	186	43	5	0	2	18	54	0	16	5	231	299	290	589	59	313	26	9	269	68	-8	+1	-8	+1	+4	-1.0
2021	30	MLB MLE	New York Mets	—	505	456	116	19	2	18	44	132	3	14	7	254	324	423	747	169	312	26	9	333	111	+7	+0	-0	+2	+11	1.9
2022	31	MLB MLE	Los Angeles Angels	—	220	202	42	6	2	3	15	59	0	7	0	208	263	302	565	94	275	27	7	254	58	-11	+1	-11	+1	+5	-1.5
2022	31	AAA MLE	Tacoma Rainiers	—	155	149	36	9	2	3	6	40	0	10	3	242	271	389	660	148	311	26	4	289	82	—	—	—	—	—	—
2008	17	ROK MLE	DSL Phillies	—	255	223	40	4	2	0	21	68	4	27	8	179	262	215	477	36	253	27	8	218	34	—	—	—	—	—	—
2008	17	ROK RAW	DSL Phillies	—	255	214	58	6	3	1	30	56	4	27	8	271	371	341	712	70	356	22	12	321	34	—	—	—	—	—	—
2009	18	ROK MLE	GCL Phillies	—	111	99	21	5	1	0	8	35	1	11	2	212	278	283	561	71	318	32	7	242	50	—	—	—	—	—	—
2009	18	ROK RAW	GCL Phillies	—	111	94	26	7	1	0	13	24	1	11	2	277	370	372	743	96	361	22	12	331	50	—	—	—	—	—	—
2010	19	A MLE	2 teams	—	563	511	120	21	5	4	27	209	9	45	15	235	285	319	604	84	385	37	5	258	61	—	—	—	—	—	—
2010	19	A RAW	2 teams	—	563	500	130	24	6	5	38	153	9	45	15	260	324	362	686	102	362	27	7	302	61	—	—	—	—	—	—
2011	20	AA MLE	3 teams	—	616	553	117	23	5	13	40	211	7	39	12	212	273	342	615	130	311	34	6	263	64	—	—	—	—	—	—
2011	20	AA RAW	3 teams	—	616	534	124	23	6	14	59	171	7	39	12	232	317	376	693	144	311	28	10	305	64	—	—	—	—	—	—
2012	21	AA MLE	2 teams	—	415	368	91	7	2	9	27	119	4	45	10	247	306	351	656	103	336	29	7	285	79	—	—	—	—	—	—
2012	21	AA RAW	2 teams	—	415	356	95	7	3	11	39	95	4	45	10	267	346	396	742	129	331	23	9	323	79	—	—	—	—	—	—
2013	22	AAA MLE	3 teams	—	716	635	155	25	10	8	54	227	2	57	19	244	305	353	658	109	365	32	8	283	78	—	—	—	—	—	—
2013	22	AAA RAW	3 teams	—	716	621	164	30	12	9	68	188	2	57	19	264	339	395	733	130	363	26	9	318	78	—	—	—	—	—	—
2014	23	MLB MLE	3 teams	—	680	609	129	19	5	12	55	211	5	50	16	212	283	319	601	107	301	31	8	269	68	-26	+4	-3	+7	+15	-0.3
2014	23	MLB RAW	3 teams	—	680	597	137	20	5	13	67	181	5	50	16	229	312	345	657	116	305	27	10	295	68	-26	+4	-3	+7	+15	-0.3
2015	24	AAA MLE	3 teams	—	571	521	132	22	7	7	39	164	4	54	13	253	310	363	673	109	355	29	7	295	86	—	—	—	—	—	—
2015	24	AAA RAW	3 teams	—	571	502	137	27	7	7	58	134	4	54	13	273	353	396	749	124	358	23	10	334	86	—	—	—	—	—	—
2016	25	MLB MLE	2 teams	—	707	617	177	42	3	19	78	181	2	63	19	287	369	457	826	170	374	26	11	363	132	+27	+5	-13	+8	+15	4.3
2016	25	MLB RAW	2 teams	—	707	614	174	38	3	21	81	181	2	63	19	283	369	458	826	174	367	26	11	363	132	+27	+5	-13	+8	+15	4.3
2017	26	MLB MLE	2 teams	—	451	417	105	20	2	10	30	136	0	23	9	252	302	381	683	129	348	30	7	305	93	-4	+1	+2	+2	+10	1.0
2017	26	MLB RAW	2 teams	—	451	416	105	19	2	11	31	135	0	23	9	252	304	387	691	135	346	30	7	306	93	-4	+1	+2	+2	+10	1.0
2018	27	MLB MLE	Baltimore Orioles	—	515	466	119	14	1	13	41	138	5	35	5	255	322	373	696	118	334	27	8	312	98	-1	+5	+1	+2	+11	1.8
2018	27	MLB RAW	Baltimore Orioles	—	515	466	121	14	1	14	41	138	5	35	5	260	326	384	710	124	339	27	8	319	98	-1	+5	+1	+2	+11	1.8
2019	28	MLB MLE	Baltimore Orioles	—	714	643	174	34	5	22	61	176	4	40	9	271	338	442	779	171	339	25	9	342	117	+15	+4	-6	+3	+15	3.2
2019	28	MLB RAW	Baltimore Orioles	—	714	642	176	33	5	24	61	176	4	40	9	274	340	453	794	179	341	25	9	349	117	+15	+4	-6	+3	+15	3.2
2020	29	MLB MLE	2 teams	—	232	209	48	6	0	2	20	61	0	16	5	230	297	287	584	57	311	26	9	269	68	-9	+1	-8	+1	+5	-1.0
2020	29	MLB RAW	2 teams	—	232	207	46	6	0	2	22	60	0	16	5	222	297	280	577	58	299	26	9	266	68	-9	+1	-8	+1	+5	-1.0
2021	30	MLB MLE	New York Mets	—	505	456	116	19	2	18	44	132	3	14	7	254	324	423	747	169	320	26	9	333	111	+7	+0	-0	+2	+11	1.9
2021	30	MLB RAW	New York Mets	—	505	454	113	18	2	18	46	132	3	14	7	249	322	416	738	167	312	26	9	329	111	+7	+0	-0	+2	+11	1.9
2022	31	MLB MLE	2 teams	—	375	351	78	15	4	6	21	99	0	17	3	222	266	339	605	117	290	26	6	269	68	-14	+2	-11	+1	+8	-1.4
2022	31	MLB RAW	2 teams	—	375	347	83	15	4	9	25	93	0	17	3	239	290	383	674	144	300	25	7	298	68	-14	+2	-11	+1	+8	-1.4
2023	32	INTL MLE	Leones del Caracas	—	76	69	14	3	0	0	6	20	1	6	0	203	276	246	523	43	286	26	8	—	—	—	—	—	—	—	—
2023	32	INTL RAW	Leones del Caracas	—	76	69	14	3	0	0	6	20	1	6	0	203	276	246	523	43	286	26	8	246	53	—	—	—	—	—	—
2024	33	INTL MLE	Aguilas Cibaenas	—	177	155	39	3	0	3	18	33	0	6	7	252	329	329	659	77	300	19	10	—	—	—	—	—	—	—	—
2024	33	INTL RAW	Aguilas Cibaenas	—	177	155	39	3	0	3	18	33	0	6	7	252	329	329	659	77	300	19	10	297	87	—	—	—	—	—	—
2008	17	ROK MLE	DSL Phillies	—	255	228	40	4	2	0	21	68	4	27	8	175	262	211	473	35	239	27	8	218	34	—	—	—	—	—	—
2009	18	ROK MLE	GCL Phillies	—	111	101	21	5	1	0	8	35	1	11	2	208	278	277	555	69	292	32	7	242	50	—	—	—	—	—	—
2010	19	A MLE	2 teams	—	563	522	120	21	5	4	27	209	9	45	15	230	285	312	597	82	356	37	5	258	61	—	—	—	—	—	—
2011	20	AA MLE	3 teams	—	616	564	117	23	5	13	40	211	7	39	12	207	273	335	608	128	298	34	6	263	64	—	—	—	—	—	—
2012	21	AA MLE	2 teams	—	415	381	91	7	2	9	27	119	4	45	10	239	306	339	644	100	317	29	7	285	79	—	—	—	—	—	—
2013	22	AAA MLE	3 teams	—	716	654	155	25	10	8	54	227	2	57	19	237	305	343	648	106	353	32	8	283	78	—	—	—	—	—	—
2014	23	MLB MLE	3 teams	—	680	615	129	19	5	12	55	211	5	50	16	210	283	315	598	106	304	31	8	269	68	—	—	—	—	—	—
2015	24	AAA MLE	3 teams	—	571	523	132	22	7	7	39	164	4	54	13	252	310	361	672	109	352	29	7	295	86	—	—	—	—	—	—
2016	25	MLB MLE	2 teams	—	707	621	177	42	3	19	78	181	2	63	19	285	369	454	823	169	372	26	11	363	132	—	—	—	—	—	—
2017	26	MLB MLE	2 teams	—	451	418	105	20	2	10	30	136	0	23	9	251	302	380	682	129	340	30	7	305	93	—	—	—	—	—	—
2018	27	MLB MLE	Baltimore Orioles	—	515	464	119	14	1	13	41	138	5	35	5	256	322	375	697	119	339	27	8	312	98	—	—	—	—	—	—
2019	28	MLB MLE	Baltimore Orioles	—	714	643	174	34	5	22	61	176	4	40	9	271	338	442	779	171	341	25	9	342	117	—	—	—	—	—	—
2020	29	MLB MLE	2 teams	—	232	210	48	6	0	2	20	61	0	16	5	229	297	286	583	57	313	26	9	269	68	—	—	—	—	—	—
2021	30	MLB MLE	New York Mets	—	505	453	116	19	2	18	44	132	3	14	7	256	324	426	750	170	312	26	9	333	111	—	—	—	—	—	—
2022	31	MLB MLE	2 teams	—	375	351	78	15	4	6	21	99	0	17	3	222	266	339	605	117	290	26	6	269	68	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	3934	3530	899	161	19	101	344	1045	16	239	66	255	324	397	720	142	332	27	9	320	79	+12	+21	-48	+39	+85	11.2
/ 162G	—	A+C		—	650	583	149	27	3	17	57	173	3	39	11	256	325	400	725	144	333	27	9	320	79	+2	+4	-8	+6	+14	1.8
Career	—	MLE		—	7679	6902	1675	282	54	146	590	2220	51	548	159	243	307	363	670	120	334	29	8	285	79	+12	+21	-48	+39	+85	11.2
/ 162G	—	MLE		—	650	584	142	24	5	12	50	188	4	46	13	243	307	363	670	120	335	29	8	285	79	+2	+4	-8	+6	+14	1.8

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 AAATacoma Rainiers · 155 PAwOBA .351 → .289 (−62)K% 21.9% → 25.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.94%	÷1.020	×1.200	—	—	25.82%
BB% (unintentional) /PA	6.45%	÷1.048	×0.690	—	×0.962	4.09%
HBP% /PA	0.00%	—	×0.940	—	×0.962	0.00%
Singles /BIP	21.62%	÷1.013	×0.930	×1.050	×0.962	20.05%
Doubles /BIP	8.11%	÷0.839	×0.830	×1.050	×0.962	8.10%
Triples /BIP	1.80%	÷0.902	×0.970	×1.050	×0.962	1.96%
Home runs /BIP	5.41%	÷1.144	×0.700	—	×0.962	3.18%

Factors used: league row International League. Park (home-season share, regressed): HR 129, 1B 103, 2B 68, 3B 80, K 104, BB 110 — 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 ×1.050.

Result: wOBA .351 → .289; ISO .214 → .162; BABIP .333 → .311. 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 AWisconsin Timber Rattlers · 15 PAwOBA .627 → .556 (−72)K% 20.0% → 27.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.00%	÷1.008	×1.360	—	—	26.97%
BB% (unintentional) /PA	6.67%	÷1.082	×0.690	—	×0.960	4.08%
HBP% /PA	0.00%	—	×0.780	—	×0.960	0.00%
Singles /BIP	60.00%	÷0.974	×0.920	—	×0.960	54.42%
Doubles /BIP	10.00%	÷0.940	×0.830	—	×0.960	8.48%
Triples /BIP	10.00%	÷1.081	×0.910	—	×0.960	8.08%
Home runs /BIP	0.00%	÷1.164	×0.800	—	×0.960	0.00%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 133, 1B 95, 2B 88, 3B 116, K 102, BB 116 — applied at half strength. Age: age 26 vs a level average of 22.0 → −4.0% on BB/HBP/hit rates (4.0 yr older than average).

Result: wOBA .627 → .556; ISO .231 → .196; BABIP .727 → .647. 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 · 313 PAwOBA .324 → .281 (−43)K% 24.6% → 31.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.60%	÷1.020	×1.290	—	—	31.12%
BB% (unintentional) /PA	8.63%	÷0.987	×0.710	—	×1.048	6.50%
HBP% /PA	0.96%	—	×0.980	—	×1.048	0.98%
Singles /BIP	26.11%	÷0.972	×0.900	×1.050	×1.048	26.60%
Doubles /BIP	6.40%	÷1.051	×0.810	×1.050	×1.048	5.43%
Triples /BIP	2.46%	÷1.021	×0.810	×1.050	×1.048	2.15%
Home runs /BIP	2.46%	÷1.060	×0.780	—	×1.048	1.90%

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 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 ×1.050.

Result: wOBA .324 → .281; ISO .136 → .106; BABIP .359 → .348. 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 AAAOklahoma City RedHawks · 225 PAwOBA .319 → .269 (−50)K% 27.1% → 35.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	27.11%	÷0.994	×1.290	—	—	35.20%
BB% (unintentional) /PA	13.78%	÷0.977	×0.710	—	×1.050	10.52%
HBP% /PA	0.44%	—	×0.980	—	×1.050	0.46%
Singles /BIP	31.78%	÷1.018	×0.900	×1.050	×1.050	30.99%
Doubles /BIP	1.55%	÷0.935	×0.810	×1.050	×1.050	1.48%
Triples /BIP	2.33%	÷1.150	×0.810	×1.050	×1.050	1.81%
Home runs /BIP	2.33%	÷1.042	×0.780	—	×1.050	1.83%

Factors used: league row PCL. Park (home-season share, regressed): HR 108, 1B 104, 2B 87, 3B 130, K 99, BB 95 — 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 ×1.050.

Result: wOBA .319 → .269; ISO .089 → .067; BABIP .362 → .346. 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 AAAOklahoma City RedHawks · 386 PAwOBA .330 → .285 (−45)K% 24.1% → 33.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.09%	÷0.938	×1.290	—	—	33.14%
BB% (unintentional) /PA	8.29%	÷1.003	×0.710	—	×1.050	6.16%
HBP% /PA	0.52%	—	×0.980	—	×1.050	0.53%
Singles /BIP	25.20%	÷0.984	×0.900	×1.050	×1.050	25.42%
Doubles /BIP	6.50%	÷1.008	×0.810	×1.050	×1.050	5.76%
Triples /BIP	3.25%	÷1.000	×0.810	×1.050	×1.050	2.90%
Home runs /BIP	3.25%	÷1.002	×0.780	—	×1.050	2.66%

Factors used: league row PCL. Park (home-season share, regressed): HR 100, 1B 97, 2B 102, 3B 100, K 88, BB 101 — 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 .330 → .285; ISO .165 → .134; BABIP .358 → .347. 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 AACorpus Christi Hooks · 377 PAwOBA .316 → .285 (−31)K% 23.1% → 28.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.08%	÷0.982	×1.220	—	—	28.67%
BB% (unintentional) /PA	9.02%	÷1.035	×0.700	—	×1.050	6.41%
HBP% /PA	1.06%	—	×0.870	—	×1.050	0.97%
Singles /BIP	27.20%	÷0.998	×0.920	×1.050	×1.050	27.63%
Doubles /BIP	2.93%	÷1.044	×0.840	×1.050	×1.050	2.60%
Triples /BIP	0.84%	÷0.940	×0.940	×1.050	×1.050	0.92%
Home runs /BIP	4.60%	÷1.110	×0.800	—	×1.050	3.48%

Factors used: league row TL. Park (home-season share, regressed): HR 122, 1B 100, 2B 109, 3B 88, K 96, BB 107 — 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 .316 → .285; ISO .135 → .110; BABIP .319 → .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).

2011 AACorpus Christi Hooks · 367 PAwOBA .294 → .258 (−36)K% 27.2% → 32.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	27.25%	÷1.028	×1.220	—	—	32.34%
BB% (unintentional) /PA	7.90%	÷1.099	×0.700	—	×1.050	5.28%
HBP% /PA	1.09%	—	×0.870	—	×1.050	1.00%
Singles /BIP	20.98%	÷1.088	×0.920	×1.050	×1.050	19.55%
Doubles /BIP	7.14%	÷0.934	×0.840	×1.050	×1.050	7.08%
Triples /BIP	0.89%	÷0.922	×0.940	×1.050	×1.050	1.00%
Home runs /BIP	4.46%	÷1.059	×0.800	—	×1.050	3.54%

Factors used: league row TL. Park (home-season share, regressed): HR 112, 1B 118, 2B 87, 3B 84, K 106, BB 120 — applied at half strength. Age: age 20 vs a level average of 24.8 → +5.0% on BB/HBP/hit rates (4.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .294 → .258; ISO .154 → .137; BABIP .301 → .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).

2011 A+Lancaster JetHawks · 207 PAwOBA .334 → .271 (−63)K% 27.1% → 37.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	27.05%	÷0.960	×1.340	—	—	37.77%
BB% (unintentional) /PA	12.08%	÷1.063	×0.710	—	×1.042	8.41%
HBP% /PA	0.97%	—	×0.790	—	×1.042	0.80%
Singles /BIP	25.42%	÷1.006	×0.910	×1.035	×1.042	24.80%
Doubles /BIP	5.93%	÷1.132	×0.820	×1.035	×1.042	4.63%
Triples /BIP	3.39%	÷1.100	×0.760	×1.035	×1.042	2.52%
Home runs /BIP	3.39%	÷0.957	×0.920	—	×1.042	3.40%

Factors used: league row CAL. Park (home-season share, regressed): HR 91, 1B 101, 2B 126, 3B 120, K 92, BB 113 — 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 ×1.035.

Result: wOBA .334 → .271; ISO .155 → .125; BABIP .350 → .322. 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 — .