Jesús Aguilar

Pos1B

B/TR/R

Born1990-06-30

Age (2027)37

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	32	MLBBAL	507	.235/.281/.379	16	1	79	-1.3
2023	33	AAAATL	241	.271/.378/.379	5	0	68	—	.222/.294/.292
2023	33	MLBOakland Athle…	115	.221/.281/.385	5	0	83	-0.8
2024	34	INTLTigres de Ara…	69	.250/.382/.500	3	0	146	—
2025	35	No MLB games played
2026	36	No MLB games played

Last 3 seasons WAR -2.1

Contract

No contract data on file.

Skills · percentileStatcast 2021-2023

xwOBA52

Barrel%46

Avg EV41

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)
2008	18	ROK	DSL Indians	—	274	235	49	12	0	4	23	29	6	4	3	209	295	311	606	102	213	11	8	270	9	—	—	—	—	—	—
2009	19	ROK	DSL Indians	—	238	200	61	16	0	5	31	24	6	5	1	305	414	460	874	155	326	10	13	392	53	—	—	—	—	—	—
2010	20	ROK	AZL Indians	—	123	112	29	2	1	7	5	33	2	1	1	259	303	482	785	223	289	27	4	333	40	—	—	—	—	—	—
2011	21	A+	Kinston Indians	—	124	113	29	3	0	4	11	28	0	1	0	257	323	389	712	133	309	23	9	321	41	—	—	—	—	—	—
2011	21	A	Lake County Captains	—	397	349	102	27	2	19	35	98	10	1	0	292	373	544	918	252	353	25	9	398	84	—	—	—	—	—	—
2011	21	INTL	Leones del Caracas	—	153	128	39	12	0	6	21	34	2	0	1	305	411	539	950	234	367	22	14	412	165	—	—	—	—	—	—
2012	22	AA	Akron Aeros	—	87	72	21	6	0	3	13	24	1	0	0	292	407	500	907	208	391	28	15	398	114	—	—	—	—	—	—
2012	22	A+	Carolina Mudcats	—	427	367	102	25	2	12	45	90	10	0	1	278	372	455	827	177	333	21	11	365	80	—	—	—	—	—	—
2012	22	INTL	Leones del Caracas	—	67	60	16	7	0	3	4	26	2	0	0	267	333	533	867	267	406	39	6	372	138	—	—	—	—	—	—
2013	23	AA	Akron Aeros	—	567	499	137	28	0	16	56	107	5	0	1	275	354	427	780	152	316	19	10	346	94	—	—	—	—	—	—
2013	23	INTL	Leones del Caracas	—	258	226	74	7	0	18	27	43	3	0	0	327	406	597	1.004	270	335	17	10	433	179	—	—	—	—	—	—
2014	24	MLB	Cleveland Indians	—	38	33	4	0	0	0	4	13	0	0	0	121	216	121	337		190	34	11	169	0	-5	+0	-1	-12	+1	-1.7
2014	24	AAA	Columbus Clippers	—	499	427	130	31	0	19	64	96	3	0	0	304	399	511	909	206	350	19	13	398	115	—	—	—	—	—	—
2014	24	INTL	Leones del Caracas	—	129	119	36	4	2	4	8	20	1	1	0	303	352	471	822	168	333	16	6	361	130	—	—	—	—	—	—
2015	25	MLB	Cleveland Indians	—	20	19	6	1	0	0	0	7	1	0	0	316	350	368	718	53	500	35	0	327	107	+0	+0	-0	-12	+0	-1.2
2015	25	AAA	Columbus Clippers	—	570	510	136	29	1	19	47	115	6	0	0	267	336	439	775	173	305	20	8	341	73	—	—	—	—	—	—
2015	25	INTL	Leones del Caracas	—	90	79	20	6	0	5	8	16	3	0	1	253	344	519	863	266	259	18	9	378	142	—	—	—	—	—	—
2016	26	AAA	Columbus Clippers	—	578	515	127	26	0	30	53	110	4	0	0	247	322	472	794	225	255	19	9	346	70	—	—	—	—	—	—
2016	26	INTL	Leones del Caracas	—	169	140	44	8	0	10	27	27	2	0	0	314	432	586	1.018	271	330	16	16	443	186	—	—	—	—	—	—
2017	27	MLB	Milwaukee Brewers	—	311	279	74	15	2	16	25	94	4	0	0	265	334	505	840	240	337	30	8	364	131	+12	+0	-2	-7	+7	0.9
2017	27	INTL	Leones del Caracas	—	104	82	26	4	0	5	18	19	2	0	0	317	451	549	1.000	232	350	18	17	432	179	—	—	—	—	—	—
2018	28	MLB	Milwaukee Brewers	—	566	492	135	25	0	35	58	143	6	0	0	274	358	539	897	264	309	25	10	385	143	+29	+0	-5	-12	+12	2.5
2018	28	INTL	Tigres de Aragua	—	90	79	23	5	0	0	11	13	0	0	0	291	378	354	732	63	348	14	12	338	115	—	—	—	—	—	—
2019	29	MLB	Tampa Bay Rays	—	369	314	74	12	0	12	43	81	2	0	0	236	329	389	717	153	272	22	12	317	101	+1	+0	-3	-7	+8	-0.1
2020	30	MLB	Miami Marlins	—	216	188	52	10	0	8	23	40	1	0	1	277	358	457	816	181	306	19	11	357	135	+9	-0	-6	-4	+5	0.4
2021	31	MLB	Miami Marlins	—	510	449	117	23	0	22	46	93	3	0	0	261	330	459	789	198	279	18	9	343	122	+14	+0	-3	-9	+11	1.2
2022	32	MLB	Baltimore Orioles	—	507	464	109	19	0	16	28	119	4	1	0	235	281	379	660	144	278	23	6	290	79	-13	+0	-2	-9	+11	-1.3
2023	33	MLB	Oakland Athletics	—	115	104	23	2	0	5	8	31	1	0	0	221	281	385	665	163	261	27	7	294	83	-2	+0	-1	-6	+2	-0.8
2023	33	AAA	Gwinnett Stripers	—	241	203	55	7	0	5	34	49	1	0	0	271	378	379	757	108	329	20	14	343	68	—	—	—	—	—	—
2024	34	INTL	Tigres de Aragua	—	69	56	14	5	0	3	11	10	1	0	0	250	382	500	882	250	250	14	16	384	146	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	2652	2342	594	107	2	114	235	621	22	1	1	254	326	447	773	193	292	23	9	337	114	+45	-0	-23	-78	+57	0.1
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2008	18	ROK MLE	DSL Indians	—	274	242	32	7	0	2	16	35	6	4	3	132	205	186	390	54	137	13	6	182	9	—	—	—	—	—	—
2009	19	ROK MLE	DSL Indians	—	238	211	40	10	0	2	20	29	6	5	1	190	278	265	544	76	204	12	8	247	53	—	—	—	—	—	—
2010	20	ROK MLE	AZL Indians	—	123	114	20	1	1	5	3	47	2	1	1	175	210	333	543	158	215	38	2	227	40	—	—	—	—	—	—
2011	21	A+ MLE	Kinston Indians	—	124	117	22	2	0	3	7	40	0	1	0	188	234	282	516	94	266	32	6	229	41	—	—	—	—	—	—
2011	21	A MLE	Lake County Captains	—	397	360	81	21	2	12	24	135	10	1	0	225	292	394	686	169	310	34	6	292	84	—	—	—	—	—	—
2012	22	AA MLE	Akron Aeros	—	87	75	19	5	0	3	10	30	1	0	0	253	349	440	789	187	367	34	11	336	114	—	—	—	—	—	—
2012	22	A+ MLE	Carolina Mudcats	—	427	386	85	19	2	11	26	133	10	0	1	220	287	365	652	145	291	31	6	286	80	—	—	—	—	—	—
2013	23	AA MLE	Akron Aeros	—	567	516	132	25	0	15	39	133	5	0	1	256	314	391	706	136	306	23	7	307	94	—	—	—	—	—	—
2014	24	MLB MLE	Cleveland Indians	—	38	33	4	0	0	0	4	13	0	0	0	121	216	121	337		190	34	11	168	0	-5	+0	-1	-12	+1	-1.7
2014	24	AAA MLE	Columbus Clippers	—	499	449	120	26	0	17	42	113	3	0	0	267	334	439	773	171	315	23	8	338	115	—	—	—	—	—	—
2015	25	MLB MLE	Cleveland Indians	—	20	19	6	1	0	0	0	7	1	0	0	316	350	368	718	53	500	35	0	326	107	+0	+0	-0	-12	+0	-1.2
2015	25	AAA MLE	Columbus Clippers	—	570	529	120	24	1	14	28	137	6	0	0	227	274	355	629	129	270	24	5	276	73	—	—	—	—	—	—
2016	26	AAA MLE	Columbus Clippers	—	578	534	109	21	0	23	34	137	4	0	0	204	257	373	630	169	221	24	6	271	70	—	—	—	—	—	—
2017	27	MLB MLE	Milwaukee Brewers	—	311	280	74	16	2	15	24	94	4	0	0	264	331	496	828	232	337	30	8	362	131	+12	+0	-2	-7	+7	0.9
2018	28	MLB MLE	Milwaukee Brewers	—	566	495	135	27	0	33	55	143	6	0	0	273	353	527	880	255	309	25	10	379	143	+29	+0	-5	-12	+12	2.5
2019	29	MLB MLE	Tampa Bay Rays	—	369	317	73	12	0	12	43	81	2	0	0	230	326	382	708	151	272	22	12	318	101	+1	+0	-3	-7	+8	-0.1
2020	30	MLB MLE	Miami Marlins	—	216	188	54	11	0	8	23	40	1	0	1	287	368	473	841	186	306	19	11	368	135	+9	-0	-6	-4	+5	0.4
2021	31	MLB MLE	Miami Marlins	—	510	458	121	25	0	23	42	93	3	0	0	264	330	469	799	205	279	18	8	349	122	+14	+0	-3	-9	+11	1.2
2022	32	MLB MLE	Baltimore Orioles	—	507	471	107	18	0	16	27	119	4	1	0	227	275	367	642	140	278	23	5	285	79	-13	+0	-2	-9	+11	-1.3
2023	33	MLB MLE	Oakland Athletics	—	115	107	23	2	0	5	6	31	1	0	0	215	263	374	637	159	261	27	5	290	83	-2	+0	-1	-6	+2	-0.8
2023	33	AAA MLE	Gwinnett Stripers	—	241	216	48	6	0	3	21	59	1	0	0	222	294	292	586	69	277	24	9	268	68	—	—	—	—	—	—
2008	18	ROK MLE	DSL Indians	—	274	242	32	7	0	2	16	35	6	4	3	132	205	186	390	54	140	13	6	182	9	—	—	—	—	—	—
2008	18	ROK RAW	DSL Indians	—	274	235	49	12	0	4	23	29	6	4	3	209	295	311	606	102	213	11	8	270	9	—	—	—	—	—	—
2009	19	ROK MLE	DSL Indians	—	238	211	40	10	0	2	20	29	6	5	1	190	278	265	544	76	210	12	8	247	53	—	—	—	—	—	—
2009	19	ROK RAW	DSL Indians	—	238	200	61	16	0	5	31	24	6	5	1	305	414	460	874	155	326	10	13	392	53	—	—	—	—	—	—
2010	20	ROK MLE	AZL Indians	—	123	114	20	1	1	5	3	47	2	1	1	175	210	333	543	158	227	38	2	227	40	—	—	—	—	—	—
2010	20	ROK RAW	AZL Indians	—	123	112	29	2	1	7	5	33	2	1	1	259	303	482	785	223	289	27	4	333	40	—	—	—	—	—	—
2011	21	A MLE	3 teams	—	674	618	133	30	2	18	39	226	12	2	1	215	275	358	633	142	303	34	6	277	74	—	—	—	—	—	—
2011	21	A RAW	3 teams	—	674	590	170	42	2	29	67	160	12	2	1	288	372	514	886	225	347	24	10	387	74	—	—	—	—	—	—
2012	22	A+ MLE	3 teams	—	581	520	118	27	2	16	41	184	13	0	1	227	300	379	678	152	312	32	7	294	85	—	—	—	—	—	—
2012	22	A+ RAW	3 teams	—	581	499	139	38	2	18	62	140	13	0	1	279	373	471	844	192	348	24	11	371	85	—	—	—	—	—	—
2013	23	AA MLE	2 teams	—	825	752	192	37	0	21	56	193	8	0	1	255	314	388	702	133	313	23	7	307	94	—	—	—	—	—	—
2013	23	AA RAW	2 teams	—	825	725	211	35	0	34	83	150	8	0	1	291	370	480	850	189	322	18	10	373	94	—	—	—	—	—	—
2014	24	AAA MLE	3 teams	—	666	598	155	33	0	21	57	157	4	1	0	259	328	420	748	161	314	24	9	326	107	—	—	—	—	—	—
2014	24	AAA RAW	3 teams	—	666	579	170	35	2	23	76	129	4	1	0	294	379	480	860	187	339	19	11	378	107	—	—	—	—	—	—
2015	25	AAA MLE	3 teams	—	680	631	145	29	1	16	32	166	10	0	1	230	278	355	633	125	283	24	5	278	74	—	—	—	—	—	—
2015	25	AAA RAW	3 teams	—	680	608	162	36	1	24	55	138	10	0	1	266	337	447	785	181	305	20	8	345	74	—	—	—	—	—	—
2016	26	AAA MLE	2 teams	—	747	692	141	27	0	30	43	177	6	0	0	204	256	373	629	169	227	24	6	271	70	—	—	—	—	—	—
2016	26	AAA RAW	2 teams	—	747	655	171	34	0	40	80	137	6	0	0	261	347	496	843	235	271	18	11	368	70	—	—	—	—	—	—
2017	27	MLB MLE	2 teams	—	415	372	99	21	3	20	32	125	6	0	0	266	334	500	834	234	341	30	8	362	131	+15	+0	-2	-7	+9	1.6
2017	27	MLB RAW	2 teams	—	415	361	100	19	2	21	43	113	6	0	0	277	363	515	879	238	341	27	10	381	131	+15	+0	-2	-7	+9	1.6
2018	28	MLB MLE	2 teams	—	656	576	157	31	0	39	64	166	6	0	0	273	351	530	881	257	310	25	10	379	143	+33	+0	-5	-12	+14	3.2
2018	28	MLB RAW	2 teams	—	656	571	158	30	0	35	69	156	6	0	0	277	361	513	874	236	315	24	11	378	143	+33	+0	-5	-12	+14	3.2
2019	29	MLB MLE	Tampa Bay Rays	—	369	317	73	12	0	12	43	81	2	0	0	230	326	382	708	151	264	22	12	318	101	+1	+0	-3	-7	+8	-0.1
2019	29	MLB RAW	Tampa Bay Rays	—	369	314	74	12	0	12	43	81	2	0	0	236	329	389	717	153	272	22	12	317	101	+1	+0	-3	-7	+8	-0.1
2020	30	MLB MLE	Miami Marlins	—	216	188	54	11	0	8	23	40	1	0	1	287	368	473	841	186	319	19	11	368	135	+9	-0	-6	-4	+5	0.4
2020	30	MLB RAW	Miami Marlins	—	216	188	52	10	0	8	23	40	1	0	1	277	358	457	816	181	306	19	11	357	135	+9	-0	-6	-4	+5	0.4
2021	31	MLB MLE	Miami Marlins	—	510	458	121	25	0	23	42	93	3	0	0	264	330	469	799	205	281	18	8	349	122	+14	+0	-3	-9	+11	1.2
2021	31	MLB RAW	Miami Marlins	—	510	449	117	23	0	22	46	93	3	0	0	261	330	459	789	198	279	18	9	343	122	+14	+0	-3	-9	+11	1.2
2022	32	MLB MLE	Baltimore Orioles	—	507	471	107	18	0	16	27	119	4	1	0	227	275	367	642	140	267	23	5	285	79	-13	+0	-2	-9	+11	-1.3
2022	32	MLB RAW	Baltimore Orioles	—	507	464	109	19	0	16	28	119	4	1	0	235	281	379	660	144	278	23	6	290	79	-13	+0	-2	-9	+11	-1.3
2023	33	AAA MLE	2 teams	—	356	323	72	8	0	9	27	90	2	0	0	223	287	331	618	108	276	25	8	275	72	—	—	—	—	—	—
2023	33	AAA RAW	2 teams	—	356	307	78	9	0	10	42	80	2	0	0	254	347	381	728	127	308	22	12	327	72	—	—	—	—	—	—
2024	34	INTL MLE	Tigres de Aragua	—	69	56	14	5	0	3	11	10	1	0	0	250	382	500	882	250	250	14	16	—	—	—	—	—	—	—	—
2024	34	INTL RAW	Tigres de Aragua	—	69	56	14	5	0	3	11	10	1	0	0	250	382	500	882	250	250	14	16	384	146	—	—	—	—	—	—
2008	18	ROK MLE	DSL Indians	—	274	250	32	7	0	2	16	35	6	4	3	128	205	180	385	52	137	13	6	182	9	—	—	—	—	—	—
2009	19	ROK MLE	DSL Indians	—	238	210	40	10	0	2	20	29	6	5	1	190	278	267	545	76	204	12	8	247	53	—	—	—	—	—	—
2010	20	ROK MLE	AZL Indians	—	123	117	20	1	1	5	3	47	2	1	1	171	210	325	535	154	215	38	2	227	40	—	—	—	—	—	—
2011	21	A MLE	3 teams	—	674	618	133	30	2	18	39	226	12	2	1	215	275	358	633	142	300	34	6	277	74	—	—	—	—	—	—
2012	22	A+ MLE	3 teams	—	581	522	118	27	2	16	41	184	13	0	1	226	300	377	677	151	304	32	7	294	85	—	—	—	—	—	—
2013	23	AA MLE	2 teams	—	825	755	192	37	0	21	56	193	8	0	1	254	314	387	700	132	306	23	7	307	94	—	—	—	—	—	—
2014	24	AAA MLE	3 teams	—	666	600	155	33	0	21	57	157	4	1	0	258	328	418	746	160	306	24	9	326	107	—	—	—	—	—	—
2015	25	AAA MLE	3 teams	—	680	633	145	29	1	16	32	166	10	0	1	229	278	354	632	125	278	24	5	278	74	—	—	—	—	—	—
2016	26	AAA MLE	2 teams	—	747	692	141	27	0	30	43	177	6	0	0	204	256	373	629	169	221	24	6	271	70	—	—	—	—	—	—
2017	27	MLB MLE	2 teams	—	415	374	99	21	3	20	32	125	6	0	0	265	334	497	831	233	337	30	8	362	131	—	—	—	—	—	—
2018	28	MLB MLE	2 teams	—	656	581	157	31	0	39	64	166	6	0	0	270	351	525	876	255	309	25	10	379	143	—	—	—	—	—	—
2019	29	MLB MLE	Tampa Bay Rays	—	369	321	73	12	0	12	43	81	2	0	0	227	326	377	703	150	272	22	12	318	101	—	—	—	—	—	—
2020	30	MLB MLE	Miami Marlins	—	216	190	54	11	0	8	23	40	1	0	1	284	368	468	836	184	306	19	11	368	135	—	—	—	—	—	—
2021	31	MLB MLE	Miami Marlins	—	510	460	121	25	0	23	42	93	3	0	0	263	330	467	797	204	279	18	8	349	122	—	—	—	—	—	—
2022	32	MLB MLE	Baltimore Orioles	—	507	471	107	18	0	16	27	119	4	1	0	227	275	367	642	140	278	23	5	285	79	—	—	—	—	—	—
2023	33	AAA MLE	2 teams	—	356	324	72	8	0	9	27	90	2	0	0	222	287	330	617	108	272	25	8	275	72	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2652	2342	594	107	2	114	235	621	22	1	1	254	326	447	773	193	292	23	9	337	89	+45	-0	-23	-78	+57	0.1
/ 162G	—	A+C		—	650	574	145	26	0	28	58	152	5	0	0	253	324	444	769	192	290	23	9	337	89	+11	-0	-6	-19	+14	0.0
Career	—	MLE		—	7906	7139	1673	332	9	261	576	1938	92	14	10	234	300	393	693	159	280	25	7	300	89	+45	-0	-23	-78	+57	0.1
/ 162G	—	MLE		—	650	587	137	27	1	21	47	159	8	1	1	233	299	390	689	157	280	24	7	300	89	+11	-0	-6	-19	+14	0.0

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.

2023 AAAGwinnett Stripers · 241 PAwOBA .336 → .268 (−68)K% 20.3% → 24.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.33%	÷1.005	×1.200	—	—	24.28%
BB% (unintentional) /PA	13.28%	÷0.997	×0.690	—	×0.942	8.66%
HBP% /PA	0.41%	—	×0.940	—	×0.942	0.37%
Singles /BIP	27.92%	÷0.968	×0.930	×0.950	×0.942	24.00%
Doubles /BIP	4.55%	÷0.933	×0.830	×0.950	×0.942	3.62%
Triples /BIP	0.00%	÷0.999	×0.970	×0.950	×0.942	0.00%
Home runs /BIP	3.25%	÷0.984	×0.700	—	×0.942	2.17%

Factors used: league row International League. Park (home-season share, regressed): HR 97, 1B 94, 2B 87, 3B 100, K 101, BB 99 — applied at half strength. Age: age 33 vs a level average of 27.2 → −5.8% on BB/HBP/hit rates (5.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .336 → .268; ISO .108 → .080; BABIP .329 → .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).

2016 AAAColumbus Clippers · 578 PAwOBA .338 → .271 (−68)K% 19.0% → 23.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.03%	÷0.965	×1.200	—	—	23.66%
BB% (unintentional) /PA	8.82%	÷1.077	×0.690	—	×1.018	5.75%
HBP% /PA	0.69%	—	×0.940	—	×1.018	0.66%
Singles /BIP	17.53%	÷1.018	×0.930	×0.982	×1.018	16.02%
Doubles /BIP	6.42%	÷1.043	×0.830	×0.982	×1.018	5.11%
Triples /BIP	0.00%	÷0.901	×0.970	×0.982	×1.018	0.00%
Home runs /BIP	7.41%	÷1.113	×0.840	—	×1.018	5.69%

Factors used: league row IL. Park (home-season share, regressed): HR 123, 1B 104, 2B 109, 3B 80, K 93, BB 115 — 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 ×0.982.

Result: wOBA .338 → .271; ISO .225 → .174; BABIP .255 → .221. 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 AAAColumbus Clippers · 570 PAwOBA .333 → .276 (−57)K% 20.2% → 24.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.18%	÷1.009	×1.200	—	—	23.98%
BB% (unintentional) /PA	7.37%	÷1.068	×0.690	—	×1.033	4.92%
HBP% /PA	1.05%	—	×0.940	—	×1.033	1.02%
Singles /BIP	22.03%	÷1.005	×0.930	×0.966	×1.033	20.35%
Doubles /BIP	7.34%	÷1.019	×0.830	×0.966	×1.033	5.97%
Triples /BIP	0.25%	÷0.900	×0.970	×0.966	×1.033	0.27%
Home runs /BIP	4.81%	÷1.217	×0.840	—	×1.033	3.43%

Factors used: league row IL. Park (home-season share, regressed): HR 143, 1B 101, 2B 104, 3B 80, K 102, BB 114 — 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 ×0.966.

Result: wOBA .333 → .276; ISO .173 → .132; BABIP .305 → .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).

2014 AAAColumbus Clippers · 499 PAwOBA .388 → .338 (−50)K% 19.2% → 22.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.24%	÷1.016	×1.200	—	—	22.71%
BB% (unintentional) /PA	11.82%	÷1.015	×0.690	—	×1.048	8.42%
HBP% /PA	0.60%	—	×0.940	—	×1.048	0.59%
Singles /BIP	24.17%	÷1.034	×0.930	×0.995	×1.048	22.67%
Doubles /BIP	9.37%	÷1.047	×0.830	×0.995	×1.048	7.74%
Triples /BIP	0.00%	÷1.007	×0.970	×0.995	×1.048	0.00%
Home runs /BIP	5.74%	÷1.028	×0.840	—	×1.048	4.92%

Factors used: league row IL. Park (home-season share, regressed): HR 106, 1B 107, 2B 109, 3B 102, K 103, BB 103 — 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 ×0.995.

Result: wOBA .388 → .338; ISO .206 → .179; BABIP .350 → .315. 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 AAAkron Aeros · 567 PAwOBA .340 → .307 (−34)K% 18.9% → 23.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.87%	÷0.984	×1.220	—	—	23.40%
BB% (unintentional) /PA	9.70%	÷1.029	×0.700	—	×1.027	6.78%
HBP% /PA	0.88%	—	×0.850	—	×1.027	0.77%
Singles /BIP	23.72%	÷1.037	×0.970	×1.030	×1.027	23.47%
Doubles /BIP	7.14%	÷1.001	×0.860	×1.030	×1.027	6.50%
Triples /BIP	0.00%	÷1.049	×0.950	×1.030	×1.027	0.00%
Home runs /BIP	4.08%	÷0.879	×0.780	—	×1.027	3.72%

Factors used: league row EL. Park (home-season share, regressed): HR 76, 1B 107, 2B 100, 3B 110, K 97, BB 106 — 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 ×1.030.

Result: wOBA .340 → .307; ISO .152 → .138; BABIP .316 → .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).

2012 A+Carolina Mudcats · 427 PAwOBA .359 → .286 (−73)K% 21.1% → 31.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.08%	÷0.963	×1.420	—	—	31.07%
BB% (unintentional) /PA	10.07%	÷1.035	×0.630	—	×1.012	6.20%
HBP% /PA	2.34%	—	×0.860	—	×1.012	2.04%
Singles /BIP	22.74%	÷1.054	×0.940	×1.001	×1.012	20.54%
Doubles /BIP	9.03%	÷1.054	×0.830	×1.001	×1.012	7.20%
Triples /BIP	0.72%	÷0.900	×0.800	×1.001	×1.012	0.65%
Home runs /BIP	4.33%	÷0.895	×0.900	—	×1.012	4.41%

Factors used: league row CAR. Park (home-season share, regressed): HR 79, 1B 111, 2B 111, 3B 80, K 93, BB 107 — 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 ×1.001.

Result: wOBA .359 → .286; ISO .177 → .153; BABIP .333 → .291. 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 AAAkron Aeros · 87 PAwOBA .392 → .336 (−56)K% 27.6% → 34.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	27.59%	÷0.979	×1.220	—	—	34.38%
BB% (unintentional) /PA	14.94%	÷0.966	×0.700	—	×1.042	11.28%
HBP% /PA	1.15%	—	×0.850	—	×1.042	1.02%
Singles /BIP	25.00%	÷1.027	×0.970	—	×1.042	24.59%
Doubles /BIP	12.50%	÷1.035	×0.860	—	×1.042	10.82%
Triples /BIP	0.00%	÷1.142	×0.950	—	×1.042	0.00%
Home runs /BIP	6.25%	÷0.903	×0.780	—	×1.042	5.62%

Factors used: league row EL. Park (home-season share, regressed): HR 81, 1B 105, 2B 107, 3B 128, K 96, BB 93 — 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).

Result: wOBA .392 → .336; ISO .208 → .178; BABIP .391 → .367. 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 ALake County Captains · 397 PAwOBA .389 → .292 (−98)K% 24.7% → 34.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.69%	÷0.987	×1.360	—	—	34.00%
BB% (unintentional) /PA	8.56%	÷1.000	×0.690	—	×1.015	6.00%
HBP% /PA	2.52%	—	×0.780	—	×1.015	1.99%
Singles /BIP	21.51%	÷0.963	×0.920	×0.966	×1.015	20.16%
Doubles /BIP	10.76%	÷0.975	×0.830	×0.966	×1.015	8.98%
Triples /BIP	0.80%	÷0.984	×0.910	×0.966	×1.015	0.72%
Home runs /BIP	7.57%	÷1.216	×0.800	—	×1.015	5.05%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 143, 1B 93, 2B 95, 3B 97, K 97, BB 100 — 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 ×0.966.

Result: wOBA .389 → .292; ISO .252 → .169; BABIP .353 → .310. 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 — .