Juan Lagares

PosRF

B/TR/R

Born1989-03-17

Age (2027)38

No MLB projection yet. Career stats below are historical.

Overview

INTL

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR
2023	34	INTLAguilas Cibae…	142	.299/.364/.386	2	7	114	—
2024	35	INTLAguilas Cibae…	76	.319/.355/.500	2	0	142	—
2025	36	INTLAguilas Cibae…	89	.225/.279/.275	0	1	54	—

Contract

No contract data on file.

Skills · percentileStatcast 2020-2022

Avg EV67

Speed50

Barrel%33

xwOBA23

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)
2006	17	ROK	DSL Mets	—	232	200	52	7	8	3	23	47	4	12	5	260	348	420	768	160	322	20	10	336	40	—	—	—	—	—	—
2007	18	A	Savannah Sand Gnats	—	304	281	59	12	6	2	18	64	2	11	7	210	262	317	579	107	265	21	6	258	37	—	—	—	—	—	—
2008	19	A	Savannah Sand Gnats	—	197	181	46	9	0	2	8	28	1	3	4	254	289	337	626	83	286	14	4	273	53	—	—	—	—	—	—
2009	20	A	Savannah Sand Gnats	—	177	168	46	6	2	0	6	42	2	9	4	274	307	333	640	60	362	24	3	288	49	—	—	—	—	—	—
2009	20	ROK	GCL Mets	—	25	24	5	1	0	0	1	4	0	1	0	208	240	250	490	42	250	16	4	224	-8	—	—	—	—	—	—
2010	21	A+	St. Lucie Mets	—	137	133	31	5	0	2	2	18	1	7	3	233	250	316	566	83	254	13	1	251	40	—	—	—	—	—	—
2010	21	A	Savannah Sand Gnats	—	307	290	87	13	9	5	7	44	3	18	2	300	323	459	782	159	333	14	2	336	88	—	—	—	—	—	—
2011	22	AA	Binghamton Mets	—	170	162	60	11	3	2	5	29	1	10	2	370	393	512	905	142	439	17	3	395	139	—	—	—	—	—	—
2011	22	A+	St. Lucie Mets	—	335	308	104	15	6	7	21	47	1	5	6	338	382	494	875	156	379	14	6	381	103	—	—	—	—	—	—
2011	22	INTL	Aguilas Cibaenas	—	86	82	22	4	1	2	4	16	0	4	1	268	302	415	717	146	312	19	5	317	101	—	—	—	—	—	—
2012	23	AA	Binghamton Mets	—	548	499	141	29	6	4	37	93	4	21	10	283	336	389	725	106	337	17	7	322	84	—	—	—	—	—	—
2012	23	INTL	Aguilas Cibaenas	—	61	54	17	2	0	0	5	13	1	2	0	315	383	352	735	37	405	21	8	334	112	—	—	—	—	—	—
2013	24	MLB	New York Mets	—	421	392	95	21	5	4	20	96	2	6	3	242	283	352	635	110	310	23	5	279	76	-12	+0	+20	+2	+9	2.0
2013	24	AAA	Las Vegas 51s	—	82	78	27	3	2	3	4	14	0	2	3	346	378	551	929	205	393	17	5	406	107	—	—	—	—	—	—
2013	24	INTL	Aguilas Cibaenas	—	124	114	39	5	0	1	7	16	1	5	1	342	385	412	798	70	384	13	6	355	126	—	—	—	—	—	—
2014	25	MLB	New York Mets	—	452	416	117	24	3	4	20	87	7	13	4	281	325	382	707	101	341	19	4	312	102	+1	+1	+10	+2	+10	2.4
2015	26	MLB	New York Mets	—	465	441	114	16	5	6	16	87	4	7	3	259	291	358	649	100	308	19	3	288	84	-9	+0	+2	+2	+10	0.5
2015	26	INTL	Aguilas Cibaenas	—	64	58	16	1	0	0	5	11	0	2	1	276	333	293	626	17	340	17	8	287	80	—	—	—	—	—	—
2016	27	MLB	New York Mets	—	160	142	34	7	2	3	11	27	2	4	2	239	303	380	684	141	274	17	7	297	89	-2	+0	+4	+1	+3	0.6
2016	27	AA	Binghamton Mets	—	19	18	6	0	1	0	0	5	1	0	0	333	368	444	813	111	462	26	0	362	97	—	—	—	—	—	—
2016	27	INTL	Aguilas Cibaenas	—	50	47	8	2	1	0	1	4	0	1	0	170	188	255	443	85	182	8	2	188	13	—	—	—	—	—	—
2017	28	MLB	New York Mets	—	272	252	63	16	2	3	14	56	3	7	3	250	297	365	662	115	309	21	5	294	91	-3	+0	+8	+1	+6	1.3
2017	28	AA	Binghamton Rumble Ponies	—	29	29	7	0	0	0	0	6	0	0	0	241	241	241	483		304	21	0	218	19	—	—	—	—	—	—
2018	29	MLB	New York Mets	—	64	59	20	1	1	0	3	9	1	3	1	339	381	390	771	51	392	14	5	344	117	+1	+0	+1	+0	+1	0.4
2018	29	INTL	Aguilas Cibaenas	—	21	20	6	2	1	0	1	2	0	0	0	300	333	500	833	200	333	10	5	362	131	—	—	—	—	—	—
2019	30	MLB	New York Mets	—	285	258	55	12	1	5	22	75	2	4	1	213	280	326	606	112	279	26	8	273	69	-11	+0	+3	+1	+6	0.0
2019	30	INTL	Aguilas Cibaenas	—	111	104	35	2	1	1	6	16	0	0	0	337	373	404	777	67	391	14	5	347	121	—	—	—	—	—	—
2020	31	INTL	Dominican Republic	—	119	111	32	5	1	2	7	20	0	4	1	288	331	405	736	117	333	17	6	326	107	—	—	—	—	—	—
2021	32	MLB	Los Angeles Angels	—	327	309	73	20	2	6	12	76	1	1	2	236	267	372	639	136	294	23	4	279	77	-9	-1	-1	+1	+7	-0.2
2021	32	INTL	Aguilas Cibaenas	—	88	83	25	3	1	1	4	15	0	2	0	301	333	398	731	96	353	17	5	323	105	—	—	—	—	—	—
2022	33	MLB	Los Angeles Angels	—	62	60	11	2	1	0	2	15	0	0	0	183	210	250	460	67	244	24	3	207	28	-5	+0	+0	-1	+1	-0.5
2022	33	AAA	Salt Lake Bees	—	29	26	8	2	1	0	3	4	0	0	1	308	379	462	841	154	364	14	10	372	86	—	—	—	—	—	—
2022	33	INTL	Aguilas Cibaenas	—	15	14	0	0	0	0	0	2	0	0	0							13	0		-114	—	—	—	—	—	—
2023	34	INTL	Aguilas Cibaenas	—	142	127	38	3	1	2	10	18	3	7	1	299	364	386	750	87	333	13	7	336	114	—	—	—	—	—	—
2024	35	INTL	Aguilas Cibaenas	—	76	72	23	7	0	2	2	16	2	0	1	319	355	500	855	181	389	21	3	377	142	—	—	—	—	—	—
2025	36	INTL	Aguilas Cibaenas	—	89	80	18	4	0	0	4	21	2	1	1	225	279	275	554	50	295	24	4	248	54	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	2508	2329	582	119	22	31	120	528	22	45	19	250	293	360	653	110	309	21	5	289	81	-55	+1	+47	+10	+54	5.9
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2006	17	ROK MLE	DSL Mets	—	232	207	36	5	5	1	16	57	4	12	5	174	247	261	508	87	223	25	7	227	40	—	—	—	—	—	—
2007	18	A MLE	Savannah Sand Gnats	—	304	287	55	10	6	2	12	86	2	11	7	192	229	289	518	98	263	28	4	223	37	—	—	—	—	—	—
2008	19	A MLE	Savannah Sand Gnats	—	197	183	44	8	0	2	6	37	1	3	4	240	268	317	585	77	274	19	3	247	53	—	—	—	—	—	—
2009	20	A MLE	Savannah Sand Gnats	—	177	170	41	5	2	0	4	56	2	9	4	241	267	294	561	53	348	32	2	241	49	—	—	—	—	—	—
2009	20	ROK MLE	GCL Mets	—	25	24	4	1	0	0	1	6	0	1	0	167	200	208	408	42	199	24	4	157	-8	—	—	—	—	—	—
2010	21	A+ MLE	St. Lucie Mets	—	137	133	29	5	0	2	2	25	1	7	3	218	235	301	536	83	249	18	1	227	40	—	—	—	—	—	—
2010	21	A MLE	Savannah Sand Gnats	—	307	293	80	10	8	4	4	60	3	18	2	273	290	403	693	130	318	20	1	299	88	—	—	—	—	—	—
2011	22	AA MLE	Binghamton Mets	—	170	163	58	10	3	1	4	36	1	10	2	356	375	472	847	117	448	21	2	373	139	—	—	—	—	—	—
2011	22	A+ MLE	St. Lucie Mets	—	335	315	92	14	4	5	14	70	1	5	6	292	324	410	734	117	355	21	4	321	103	—	—	—	—	—	—
2012	23	AA MLE	Binghamton Mets	—	548	510	135	27	5	3	27	115	4	21	10	265	307	355	662	90	328	21	5	292	84	—	—	—	—	—	—
2013	24	MLB MLE	New York Mets	—	421	396	98	22	5	4	16	96	2	6	3	247	280	359	639	111	310	23	4	281	76	-12	+0	+20	+2	+9	2.0
2013	24	AAA MLE	Las Vegas 51s	—	82	79	22	2	1	2	3	19	0	2	3	278	305	405	710	127	364	23	4	326	107	—	—	—	—	—	—
2014	25	MLB MLE	New York Mets	—	452	417	120	25	3	4	19	87	7	13	4	288	330	391	720	103	341	19	4	319	102	+1	+1	+10	+2	+10	2.4
2015	26	MLB MLE	New York Mets	—	465	443	117	17	5	6	14	87	4	7	3	264	293	366	659	102	308	19	3	293	84	-9	+0	+2	+2	+10	0.5
2016	27	MLB MLE	New York Mets	—	160	143	35	7	2	3	10	27	2	4	2	245	303	385	688	140	274	17	6	300	89	-2	+0	+4	+1	+3	0.6
2016	27	AA MLE	Binghamton Mets	—	19	18	5	0	1	0	0	6	1	0	0	278	316	389	705	111	428	32	0	311	97	—	—	—	—	—	—
2017	28	MLB MLE	New York Mets	—	272	252	65	17	2	3	14	56	3	7	3	258	305	377	682	119	309	21	5	303	91	-3	+0	+8	+1	+6	1.3
2017	28	AA MLE	Binghamton Rumble Ponies	—	29	29	6	0	0	0	0	7	0	0	0	207	207	207	414		294	24	0	197	19	—	—	—	—	—	—
2018	29	MLB MLE	New York Mets	—	64	60	20	1	1	0	2	9	1	3	1	333	365	383	748	50	392	14	3	342	117	+1	+0	+1	+0	+1	0.4
2019	30	MLB MLE	New York Mets	—	285	262	57	13	1	5	18	75	2	4	1	218	273	332	605	115	279	26	6	270	69	-11	+0	+3	+1	+6	0.0
2021	32	MLB MLE	Los Angeles Angels	—	327	309	74	21	2	6	12	76	1	1	2	239	270	379	649	139	294	23	4	282	77	-9	-1	-1	+1	+7	-0.2
2022	33	MLB MLE	Los Angeles Angels	—	62	60	11	2	1	0	2	15	0	0	0	183	210	250	460	67	244	24	3	209	28	-5	+0	+0	-1	+1	-0.5
2022	33	AAA MLE	Salt Lake Bees	—	29	27	7	2	1	0	2	5	0	0	1	259	310	407	718	148	311	17	7	295	86	—	—	—	—	—	—
2006	17	ROK MLE	DSL Mets	—	232	207	36	5	5	1	16	57	4	12	5	174	247	261	508	87	232	25	7	227	40	—	—	—	—	—	—
2006	17	ROK RAW	DSL Mets	—	232	200	52	7	8	3	23	47	4	12	5	260	348	420	768	160	322	20	10	336	40	—	—	—	—	—	—
2007	18	A MLE	Savannah Sand Gnats	—	304	287	55	10	6	2	12	86	2	11	7	192	229	289	518	98	266	28	4	223	37	—	—	—	—	—	—
2007	18	A RAW	Savannah Sand Gnats	—	304	281	59	12	6	2	18	64	2	11	7	210	262	317	579	107	265	21	6	258	37	—	—	—	—	—	—
2008	19	A MLE	Savannah Sand Gnats	—	197	183	44	8	0	2	6	37	1	3	4	240	268	317	585	77	286	19	3	247	53	—	—	—	—	—	—
2008	19	A RAW	Savannah Sand Gnats	—	197	181	46	9	0	2	8	28	1	3	4	254	289	337	626	83	286	14	4	273	53	—	—	—	—	—	—
2009	20	A MLE	2 teams	—	202	194	44	5	2	0	5	62	2	10	4	227	254	273	527	46	331	31	2	231	42	—	—	—	—	—	—
2009	20	A RAW	2 teams	—	202	192	51	7	2	0	7	46	2	10	4	266	299	323	621	57	347	23	3	280	42	—	—	—	—	—	—
2010	21	A MLE	2 teams	—	444	426	110	15	8	6	6	85	4	25	5	258	275	373	648	115	305	19	1	277	73	—	—	—	—	—	—
2010	21	A RAW	2 teams	—	444	423	118	18	9	7	9	62	4	25	5	279	300	414	714	135	308	14	2	310	73	—	—	—	—	—	—
2011	22	A+ MLE	3 teams	—	591	561	178	29	9	8	21	124	2	19	9	317	344	444	788	127	394	21	4	339	115	—	—	—	—	—	—
2011	22	A+ RAW	3 teams	—	591	552	186	30	10	11	30	92	2	19	9	337	373	487	861	150	387	16	5	376	115	—	—	—	—	—	—
2012	23	AA MLE	2 teams	—	609	566	151	30	6	4	30	127	5	23	10	267	309	362	672	95	333	21	5	292	84	—	—	—	—	—	—
2012	23	AA RAW	2 teams	—	609	553	158	31	6	4	42	106	5	23	10	286	341	385	726	99	343	17	7	323	84	—	—	—	—	—	—
2013	24	MLB MLE	3 teams	—	627	591	152	31	8	8	24	143	3	13	7	257	290	377	667	120	324	23	4	288	81	-14	-0	+20	+2	+14	2.2
2013	24	MLB RAW	3 teams	—	627	584	161	29	7	8	31	126	3	13	7	276	316	390	706	115	337	20	5	311	81	-14	-0	+20	+2	+14	2.2
2014	25	MLB MLE	New York Mets	—	452	417	120	25	3	4	19	87	7	13	4	288	330	391	720	103	349	19	4	319	102	+1	+1	+10	+2	+10	2.4
2014	25	MLB RAW	New York Mets	—	452	416	117	24	3	4	20	87	7	13	4	281	325	382	707	101	341	19	4	312	102	+1	+1	+10	+2	+10	2.4
2015	26	MLB MLE	2 teams	—	529	504	134	19	6	7	16	99	4	9	4	266	294	369	663	103	317	19	3	293	84	-10	+0	+2	+2	+11	0.6
2015	26	MLB RAW	2 teams	—	529	499	130	17	5	6	21	98	4	9	4	261	296	351	647	90	312	19	4	288	84	-10	+0	+2	+2	+11	0.6
2016	27	MLB MLE	3 teams	—	229	206	52	10	4	4	13	42	3	5	2	252	306	398	704	146	296	18	6	301	90	-3	+0	+4	+1	+5	0.7
2016	27	MLB RAW	3 teams	—	229	207	48	9	4	3	12	36	3	5	2	232	284	357	641	126	265	16	5	279	90	-3	+0	+4	+1	+5	0.7
2017	28	MLB MLE	2 teams	—	301	281	72	17	2	3	14	63	3	7	3	256	299	363	662	107	319	21	5	293	84	-6	+0	+8	+1	+7	1.0
2017	28	MLB RAW	2 teams	—	301	281	70	16	2	3	14	62	3	7	3	249	292	352	644	103	309	21	5	287	84	-6	+0	+8	+1	+7	1.0
2018	29	MLB MLE	2 teams	—	85	80	27	1	1	0	3	12	1	3	1	338	369	375	744	37	391	14	4	342	117	+2	+0	+1	+0	+2	0.5
2018	29	MLB RAW	2 teams	—	85	79	26	3	2	0	4	11	1	3	1	329	369	418	787	89	377	13	5	348	117	+2	+0	+1	+0	+2	0.5
2019	30	MLB MLE	2 teams	—	396	365	79	18	1	7	25	104	2	4	1	216	270	329	599	112	282	26	6	270	69	-15	+0	+3	+1	+9	-0.1
2019	30	MLB RAW	2 teams	—	396	362	90	14	2	6	28	91	2	4	1	249	306	348	654	99	316	23	7	294	69	-15	+0	+3	+1	+9	-0.1
2020	31	INTL MLE	Dominican Republic	—	119	111	32	5	1	2	7	20	0	4	1	288	331	405	736	117	333	17	6	—	—	—	—	—	—	—	—
2020	31	INTL RAW	Dominican Republic	—	119	111	32	5	1	2	7	20	0	4	1	288	331	405	736	117	333	17	6	326	107	—	—	—	—	—	—
2021	32	MLB MLE	2 teams	—	415	393	93	26	3	7	15	96	1	3	2	237	267	372	638	135	295	23	4	282	77	-11	-0	-1	+1	+9	-0.2
2021	32	MLB RAW	2 teams	—	415	392	98	23	3	7	16	91	1	3	2	250	281	378	659	128	307	22	4	288	77	-11	-0	-1	+1	+9	-0.2
2022	33	MLB MLE	3 teams	—	106	100	21	4	2	0	5	23	0	0	1	210	248	290	538	80	269	22	5	236	46	-7	-0	+0	-1	+2	-0.6
2022	33	MLB RAW	3 teams	—	106	100	19	4	2	0	5	21	0	0	1	190	229	270	499	80	237	20	5	223	46	-7	-0	+0	-1	+2	-0.6
2023	34	INTL MLE	Aguilas Cibaenas	—	142	127	38	3	1	2	10	18	3	7	1	299	364	386	750	87	333	13	7	—	—	—	—	—	—	—	—
2023	34	INTL RAW	Aguilas Cibaenas	—	142	127	38	3	1	2	10	18	3	7	1	299	364	386	750	87	333	13	7	336	114	—	—	—	—	—	—
2024	35	INTL MLE	Aguilas Cibaenas	—	76	72	23	7	0	2	2	16	2	0	1	319	355	500	855	181	389	21	3	—	—	—	—	—	—	—	—
2024	35	INTL RAW	Aguilas Cibaenas	—	76	72	23	7	0	2	2	16	2	0	1	319	355	500	855	181	389	21	3	377	142	—	—	—	—	—	—
2025	36	INTL MLE	Aguilas Cibaenas	—	89	80	18	4	0	0	4	21	2	1	1	225	279	275	554	50	295	24	4	—	—	—	—	—	—	—	—
2025	36	INTL RAW	Aguilas Cibaenas	—	89	80	18	4	0	0	4	21	2	1	1	225	279	275	554	50	295	24	4	248	54	—	—	—	—	—	—
2006	17	ROK MLE	DSL Mets	—	232	210	36	5	5	1	16	57	4	12	5	171	247	257	504	86	223	25	7	227	40	—	—	—	—	—	—
2007	18	A MLE	Savannah Sand Gnats	—	304	287	55	10	6	2	12	86	2	11	7	192	229	289	518	98	263	28	4	223	37	—	—	—	—	—	—
2008	19	A MLE	Savannah Sand Gnats	—	197	188	44	8	0	2	6	37	1	3	4	234	268	309	577	74	274	19	3	247	53	—	—	—	—	—	—
2009	20	A MLE	2 teams	—	202	193	44	5	2	0	5	62	2	10	4	228	254	275	528	47	330	31	2	231	42	—	—	—	—	—	—
2010	21	A MLE	2 teams	—	444	431	110	15	8	6	6	85	4	25	5	255	275	369	644	114	297	19	1	277	73	—	—	—	—	—	—
2011	22	A+ MLE	3 teams	—	591	563	178	29	9	8	21	124	2	19	9	316	344	442	786	126	386	21	4	339	115	—	—	—	—	—	—
2012	23	AA MLE	2 teams	—	609	569	151	30	6	4	30	127	5	23	10	265	309	360	670	95	328	21	5	292	84	—	—	—	—	—	—
2013	24	MLB MLE	3 teams	—	627	595	152	31	8	8	24	143	3	13	7	255	290	375	664	119	318	23	4	288	81	—	—	—	—	—	—
2014	25	MLB MLE	New York Mets	—	452	423	120	25	3	4	19	87	7	13	4	284	330	385	715	102	341	19	4	319	102	—	—	—	—	—	—
2015	26	MLB MLE	2 teams	—	529	504	134	19	6	7	16	99	4	9	4	266	294	369	663	103	308	19	3	293	84	—	—	—	—	—	—
2016	27	MLB MLE	3 teams	—	229	211	52	10	4	4	13	42	3	5	2	246	306	389	695	142	291	18	6	301	90	—	—	—	—	—	—
2017	28	MLB MLE	2 teams	—	301	281	72	17	2	3	14	63	3	7	3	256	299	363	662	107	308	21	5	293	84	—	—	—	—	—	—
2018	29	MLB MLE	2 teams	—	85	81	27	1	1	0	3	12	1	3	1	333	369	370	739	37	392	14	4	342	117	—	—	—	—	—	—
2019	30	MLB MLE	2 teams	—	396	366	79	18	1	7	25	104	2	4	1	216	270	328	598	112	279	26	6	270	69	—	—	—	—	—	—
2021	32	MLB MLE	2 teams	—	415	396	93	26	3	7	15	96	1	3	2	235	267	369	635	134	294	23	4	282	77	—	—	—	—	—	—
2022	33	MLB MLE	3 teams	—	106	100	21	4	2	0	5	23	0	0	1	210	248	290	538	80	266	22	5	236	46	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2508	2329	582	119	22	31	120	528	22	45	19	250	293	360	653	110	309	21	5	289	66	-55	+1	+47	+10	+54	5.9
/ 162G	—	A+C		—	650	604	151	31	6	8	31	137	6	12	5	250	293	361	654	111	309	21	5	289	66	-14	+0	+12	+3	+14	1.5
Career	—	MLE		—	6145	5751	1479	272	68	69	253	1322	51	172	73	257	294	364	659	107	320	22	4	265	66	-55	+1	+47	+10	+54	5.9
/ 162G	—	MLE		—	650	608	156	29	7	7	27	140	5	18	8	257	294	362	656	105	320	22	4	265	66	-14	+0	+12	+3	+14	1.5

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 AAASalt Lake Bees · 29 PAwOBA .363 → .295 (−68)K% 13.8% → 16.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.79%	÷0.989	×1.200	—	—	16.74%
BB% (unintentional) /PA	10.34%	÷1.034	×0.690	—	×0.942	6.51%
HBP% /PA	0.00%	—	×0.940	—	×0.942	0.00%
Singles /BIP	22.73%	÷0.993	×0.930	—	×0.942	20.05%
Doubles /BIP	9.09%	÷0.956	×0.830	—	×0.942	7.43%
Triples /BIP	4.55%	÷1.150	×0.970	—	×0.942	3.61%
Home runs /BIP	0.00%	÷0.978	×0.700	—	×0.942	0.00%

Factors used: league row International League. Park (home-season share, regressed): HR 96, 1B 99, 2B 91, 3B 130, K 98, BB 107 — 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).

Result: wOBA .363 → .295; ISO .154 → .125; BABIP .364 → .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 AABinghamton Rumble Ponies · 29 PAwOBA .212 → .197 (−16)K% 20.7% → 24.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.69%	÷1.046	×1.220	—	—	24.14%
BB% (unintentional) /PA	0.00%	÷0.986	×0.700	—	×0.968	0.00%
HBP% /PA	0.00%	—	×0.850	—	×0.968	0.00%
Singles /BIP	30.43%	÷0.971	×0.970	—	×0.968	29.44%
Doubles /BIP	0.00%	÷1.056	×0.860	—	×0.968	0.00%
Triples /BIP	0.00%	÷1.150	×0.950	—	×0.968	0.00%
Home runs /BIP	0.00%	÷1.365	×0.780	—	×0.968	0.00%

Factors used: league row EL. Park (home-season share, regressed): HR 173, 1B 94, 2B 111, 3B 130, K 109, BB 97 — applied at half strength. Age: age 28 vs a level average of 24.8 → −3.2% on BB/HBP/hit rates (3.2 yr older than average).

Result: wOBA .212 → .197; ISO .000 → .000; BABIP .304 → .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).

2016 AABinghamton Mets · 19 PAwOBA .352 → .311 (−41)K% 26.3% → 30.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	26.32%	÷1.062	×1.220	—	—	30.23%
BB% (unintentional) /PA	0.00%	÷0.996	×0.700	—	×0.978	0.00%
HBP% /PA	5.26%	—	×0.850	—	×0.978	4.38%
Singles /BIP	38.46%	÷1.034	×0.970	—	×0.978	35.28%
Doubles /BIP	0.00%	÷1.070	×0.860	—	×0.978	0.00%
Triples /BIP	7.69%	÷0.956	×0.950	—	×0.978	7.48%
Home runs /BIP	0.00%	÷1.085	×0.780	—	×0.978	0.00%

Factors used: league row EL. Park (home-season share, regressed): HR 117, 1B 107, 2B 114, 3B 91, K 112, BB 99 — applied at half strength. Age: age 27 vs a level average of 24.8 → −2.2% on BB/HBP/hit rates (2.2 yr older than average).

Result: wOBA .352 → .311; ISO .111 → .103; BABIP .462 → .428. 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 AAALas Vegas 51s · 82 PAwOBA .395 → .326 (−68)K% 17.1% → 23.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.07%	÷0.952	×1.290	—	—	23.15%
BB% (unintentional) /PA	4.88%	÷0.994	×0.710	—	×1.048	3.65%
HBP% /PA	0.00%	—	×0.980	—	×1.048	0.00%
Singles /BIP	29.69%	÷1.018	×0.900	×1.041	×1.048	28.62%
Doubles /BIP	4.69%	÷1.023	×0.810	×1.041	×1.048	4.05%
Triples /BIP	3.12%	÷1.150	×0.810	×1.041	×1.048	2.40%
Home runs /BIP	4.69%	÷1.078	×0.780	—	×1.048	3.56%

Factors used: league row PCL. Park (home-season share, regressed): HR 116, 1B 104, 2B 105, 3B 130, K 90, BB 99 — 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 ×1.041.

Result: wOBA .395 → .326; ISO .205 → .150; BABIP .393 → .364. 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 AABinghamton Mets · 548 PAwOBA .316 → .292 (−24)K% 17.0% → 20.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.97%	÷0.989	×1.220	—	—	20.93%
BB% (unintentional) /PA	6.75%	÷0.990	×0.700	—	×1.027	4.91%
HBP% /PA	0.73%	—	×0.850	—	×1.027	0.64%
Singles /BIP	25.12%	÷1.036	×0.970	×1.031	×1.027	24.89%
Doubles /BIP	7.14%	÷0.967	×0.860	×1.031	×1.027	6.73%
Triples /BIP	1.48%	÷1.093	×0.950	×1.031	×1.027	1.36%
Home runs /BIP	0.99%	÷0.932	×0.780	—	×1.027	0.85%

Factors used: league row EL. Park (home-season share, regressed): HR 86, 1B 107, 2B 93, 3B 119, K 98, BB 98 — 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 ×1.031.

Result: wOBA .316 → .292; ISO .106 → .097; BABIP .337 → .328. 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+St. Lucie Mets · 335 PAwOBA .372 → .321 (−52)K% 14.0% → 21.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.03%	÷0.947	×1.420	—	—	21.04%
BB% (unintentional) /PA	5.97%	÷1.042	×0.750	—	×1.012	4.35%
HBP% /PA	0.30%	—	×0.930	—	×1.012	0.28%
Singles /BIP	29.12%	÷1.009	×0.920	×1.026	×1.012	27.56%
Doubles /BIP	5.75%	÷1.013	×0.960	×1.026	×1.012	5.65%
Triples /BIP	2.30%	÷1.097	×0.810	×1.026	×1.012	1.76%
Home runs /BIP	2.68%	÷1.095	×0.880	—	×1.012	2.18%

Factors used: league row FSL. Park (home-season share, regressed): HR 119, 1B 102, 2B 103, 3B 119, K 89, BB 108 — 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 ×1.026.

Result: wOBA .372 → .321; ISO .156 → .127; BABIP .379 → .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).

2011 AABinghamton Mets · 170 PAwOBA .386 → .373 (−13)K% 17.1% → 20.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.06%	÷0.995	×1.220	—	—	20.91%
BB% (unintentional) /PA	2.94%	÷0.944	×0.700	—	×1.042	2.27%
HBP% /PA	0.59%	—	×0.850	—	×1.042	0.52%
Singles /BIP	33.08%	÷1.005	×0.970	×1.028	×1.042	34.20%
Doubles /BIP	8.27%	÷0.961	×0.860	×1.028	×1.042	7.93%
Triples /BIP	2.26%	÷0.920	×0.950	×1.028	×1.042	2.50%
Home runs /BIP	1.50%	÷1.102	×0.780	—	×1.042	1.11%

Factors used: league row EL. Park (home-season share, regressed): HR 120, 1B 101, 2B 92, 3B 84, K 99, BB 89 — 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 ×1.028.

Result: wOBA .386 → .373; ISO .142 → .130; BABIP .439 → .448. 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).

2010 ASavannah Sand Gnats · 307 PAwOBA .332 → .299 (−33)K% 14.3% → 19.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.33%	÷0.988	×1.340	—	—	19.43%
BB% (unintentional) /PA	2.28%	÷1.072	×0.660	—	×1.015	1.42%
HBP% /PA	0.98%	—	×0.770	—	×1.015	0.76%
Singles /BIP	24.39%	÷0.968	×0.920	×1.032	×1.015	24.28%
Doubles /BIP	5.28%	÷1.050	×0.820	×1.032	×1.015	4.32%
Triples /BIP	3.66%	÷1.105	×0.940	×1.032	×1.015	3.26%
Home runs /BIP	2.03%	÷0.920	×0.820	—	×1.015	1.84%

Factors used: league row SAL. Park (home-season share, regressed): HR 84, 1B 94, 2B 110, 3B 121, K 98, BB 114 — 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 ×1.032.

Result: wOBA .332 → .299; ISO .159 → .136; BABIP .333 → .318. 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 — .