Juan Centeno

PosC

B/TL/R

Born1989-11-16

Age (2027)37

No MLB projection yet. Career stats below are historical.

Overview

INTL

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2023	33	AA/INTL2 orgs	337	.263/.322/.321	2	4	43	—	.202/.244/.233
2024	34	INTLCangrejeros d…	78	.203/.320/.328	2	0	83	—
2025	35	INTLPuerto Rico	59	.255/.333/.333	1	0	87	—

Contract

No contract data on file.

Skills · percentileMiLB Statcast 2023 AA

Z-Con%71

Whiff%61

K%41

wOBA32

Speed27

BB%21

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. Catcher framing: only 2027 Statcast framing is modeled (Baseball Savant server-caches the leaderboard to the current season); prior-year framing is unmodeled — projections for established framers may run 1-3 WAR low.

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)
2007	17	ROK	GCL Mets	—	45	41	6	0	0	0	3	6	1	0	0	146	222	146	369		171	13	7	184	-22	—	—	—	—	—	—
2008	18	ROK	GCL Mets	—	75	63	13	1	0	0	8	8	2	0	0	206	315	222	537	16	236	11	11	256	15	—	—	—	—	—	—
2010	20	A+	St. Lucie Mets	—	41	35	7	0	0	0	3	7	0	1	0	200	263	200	463		241	17	7	206	9	—	—	—	—	—	—
2011	21	A+	St. Lucie Mets	—	178	157	50	5	1	1	12	22	1	3	1	318	371	382	753	64	363	12	7	327	87	—	—	—	—	—	—
2011	21	INTL	Peoria Javelinas	—	53	47	11	3	0	0	6	6	0	0	0	234	321	298	619	64	268	11	11	288	81	—	—	—	—	—	—
2012	22	AA	Binghamton Mets	—	313	281	80	12	2	0	23	43	1	1	1	285	341	342	683	57	331	14	7	304	82	—	—	—	—	—	—
2012	22	INTL	Atenienses de Manati	—	107	92	23	2	1	1	9	13	2	1	0	250	330	326	656	76	278	12	8	292	84	—	—	—	—	—	—
2013	23	AAA	Las Vegas 51s	—	237	213	65	10	2	0	12	24	3	1	1	305	351	371	722	66	339	10	5	315	83	—	—	—	—	—	—
2013	23	AA	Binghamton Mets	—	24	23	6	1	1	0	0	5	0	0	0	261	261	391	652	130	333	21	0	272	68	—	—	—	—	—	—
2013	23	INTL	Gigantes de Carolina	—	83	75	21	3	0	1	6	10	1	0	0	280	341	360	701	80	308	12	7	316	100	—	—	—	—	—	—
2014	24	MLB	New York Mets	—	33	30	6	0	0	0	3	5	0	0	0	200	273	200	473		240	15	9	228	43	-2	+0	-1	+7	+1	0.5
2014	24	AAA	Las Vegas 51s	—	202	179	52	5	0	1	15	26	1	2	0	291	349	335	684	45	329	13	7	304	74	—	—	—	—	—	—
2014	24	AA	Binghamton Mets	—	83	77	22	5	0	0	6	11	0	0	1	286	337	351	688	65	333	13	7	313	77	—	—	—	—	—	—
2014	24	INTL	Senadores de San Juan	—	88	71	9	1	0	0	13	10	0	0	0	127	262	141	403	14	141	11	15	200	21	—	—	—	—	—	—
2015	25	MLB	Milwaukee Brewers	—	23	21	1	1	0	0	2	7	0	0	0	48	130	95	226	48	71	30	9	116	-32	-4	+0	-2	+5	+0	0.0
2015	25	AAA	Colorado Springs Sky Sox	—	187	176	52	6	3	0	5	19	1	2	2	295	319	364	682	68	323	10	3	298	54	—	—	—	—	—	—
2015	25	INTL	Criollos de Caguas	—	73	58	11	4	0	0	11	8	2	0	0	190	338	259	597	69	212	11	15	282	77	—	—	—	—	—	—
2016	26	MLB	Minnesota Twins	—	192	176	46	12	1	3	12	38	1	0	0	261	312	392	704	131	319	20	6	310	96	-1	+0	-10	+6	+4	-0.0
2016	26	AAA	Rochester Red Wings	—	55	49	12	1	0	1	4	4	1	1	0	245	315	327	641	82	250	7	7	290	63	—	—	—	—	—	—
2016	26	INTL	Tiburones de Aguadilla	—	99	85	20	4	0	0	10	15	2	1	1	235	330	282	612	47	282	15	10	283	78	—	—	—	—	—	—
2017	27	MLB	Houston Astros	—	57	52	12	0	0	2	4	12	0	0	0	231	286	346	632	115	263	21	7	281	69	-2	+0	-2	+6	+1	0.3
2017	27	AAA	Fresno Grizzlies	—	257	235	73	12	1	1	16	37	1	0	1	311	357	383	740	72	362	14	6	328	76	—	—	—	—	—	—
2018	28	MLB	Texas Rangers	—	38	37	6	1	0	1	1	7	0	0	0	162	184	270	454	108	172	18	3	202	19	-4	+0	-1	+6	+1	0.2
2018	28	AAA	Round Rock Express	—	232	205	48	9	0	2	16	34	2	0	1	234	296	307	603	73	266	15	7	267	48	—	—	—	—	—	—
2018	28	INTL	Indios de Mayaguez	—	60	51	14	4	0	1	5	4	1	0	0	275	351	412	763	137	277	7	8	326	107	—	—	—	—	—	—
2019	29	MLB	Boston Red Sox	—	18	15	2	0	0	0	2	2	1	1	0	133	278	133	411		154	11	11	219	33	-1	+0	-1	+7	+0	0.6
2019	29	AAA	Pawtucket Red Sox	—	301	266	66	15	0	4	24	47	6	2	0	248	324	350	674	102	284	16	8	303	59	—	—	—	—	—	—
2019	29	INTL	Atenienses de Manati	—	93	85	26	1	0	2	6	7	1	1	0	306	359	388	747	82	316	8	6	335	113	—	—	—	—	—	—
2020	30	INTL	Puerto Rico	—	75	71	25	5	0	4	3	9	1	0	0	352	387	592	978	239	362	12	4	427	175	—	—	—	—	—	—
2021	31	AAA	Toledo Mud Hens	—	181	166	46	9	1	1	14	25	0	0	0	277	333	361	695	84	321	14	8	313	54	—	—	—	—	—	—
2021	31	AA	Erie SeaWolves	—	23	19	6	2	0	1	4	3	0	0	0	316	435	579	1.014	263	333	13	17	442	121	—	—	—	—	—	—
2021	31	INTL	Puerto Rico	—	107	96	16	3	0	1	8	14	1	1	0	167	238	229	467	62	183	13	7	216	32	—	—	—	—	—	—
2022	32	AAA	Reno Aces	—	37	33	11	2	0	1	3	4	1	0	1	333	405	485	890	152	357	11	8	398	95	—	—	—	—	—	—
2022	32	AA	Amarillo Sod Poodles	—	337	311	94	22	1	14	17	58	6	1	1	302	350	514	865	212	333	17	5	376	73	—	—	—	—	—	—
2022	32	INTL	Criollos de Caguas	—	147	127	29	3	0	0	14	26	2	1	0	228	315	252	567	24	282	18	10	263	64	—	—	—	—	—	—
2023	33	AA	Amarillo Sod Poodles	—	273	251	68	11	0	1	20	72	0	4	1	271	325	327	651	56	374	26	7	296	34	—	—	—	—	—	—
2023	33	INTL	Criollos de Caguas	—	64	57	13	1	0	1	7	12	0	0	0	228	312	298	611	70	273	19	11	284	79	—	—	—	—	—	—
2024	34	INTL	Cangrejeros de Santurce	—	78	64	13	2	0	2	7	17	4	0	0	203	320	328	648	125	234	22	9	291	83	—	—	—	—	—	—
2025	35	INTL	Puerto Rico	—	59	51	13	1	0	1	6	10	0	0	0	255	333	333	667	78	293	17	10	297	87	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	361	331	73	14	1	6	24	71	2	1	0	221	277	323	601	103	264	20	7	270	69	-13	+0	-16	+37	+8	1.6
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2007	17	ROK MLE	GCL Mets	—	45	42	5	0	0	0	2	9	1	0	0	119	178	119	297		144	20	4	136	-22	—	—	—	—	—	—
2008	18	ROK MLE	GCL Mets	—	75	66	11	1	0	0	5	12	2	0	0	167	247	182	428	15	190	16	7	190	15	—	—	—	—	—	—
2010	20	A+ MLE	St. Lucie Mets	—	41	36	7	0	0	0	2	10	0	1	0	194	237	194	431		225	24	5	182	9	—	—	—	—	—	—
2011	21	A+ MLE	St. Lucie Mets	—	178	160	49	5	1	1	9	33	1	3	1	306	347	369	716	62	351	19	5	297	87	—	—	—	—	—	—
2012	22	AA MLE	Binghamton Mets	—	313	287	82	12	2	0	17	53	1	1	1	286	328	341	669	56	331	17	5	289	82	—	—	—	—	—	—
2013	23	AAA MLE	Las Vegas 51s	—	237	216	63	9	2	0	9	32	3	1	1	292	329	352	681	60	322	14	4	291	83	—	—	—	—	—	—
2013	23	AA MLE	Binghamton Mets	—	24	23	6	1	1	0	0	6	0	0	0	261	261	391	652	130	338	25	0	269	68	—	—	—	—	—	—
2014	24	MLB MLE	New York Mets	—	33	30	6	0	0	0	3	5	0	0	0	200	273	200	473		240	15	9	232	43	-2	+0	-1	+7	+1	0.5
2014	24	AAA MLE	Las Vegas 51s	—	202	186	52	4	0	1	8	36	1	2	0	280	313	317	630	38	319	18	4	278	74	—	—	—	—	—	—
2014	24	AA MLE	Binghamton Mets	—	83	79	21	4	0	0	4	13	0	0	1	266	301	316	618	51	329	16	5	282	77	—	—	—	—	—	—
2015	25	MLB MLE	Milwaukee Brewers	—	23	21	1	1	0	0	2	7	0	0	0	48	130	95	226	48	71	30	9	120	-32	-4	+0	-2	+5	+0	0.0
2015	25	AAA MLE	Colorado Springs Sky Sox	—	187	177	44	4	2	0	4	25	1	2	2	249	269	294	563	45	276	13	2	248	54	—	—	—	—	—	—
2016	26	MLB MLE	Minnesota Twins	—	192	176	46	12	1	3	12	38	1	0	0	261	312	392	704	131	319	20	6	310	96	-1	+0	-10	+6	+4	-0.0
2016	26	AAA MLE	Rochester Red Wings	—	55	50	12	1	0	1	3	5	1	1	0	240	296	320	616	80	240	9	5	261	63	—	—	—	—	—	—
2017	27	MLB MLE	Houston Astros	—	57	53	12	0	0	2	3	12	0	0	0	226	268	340	607	113	263	21	5	270	69	-2	+0	-2	+6	+1	0.3
2017	27	AAA MLE	Fresno Grizzlies	—	257	240	66	10	1	1	11	48	1	0	1	275	310	338	647	62	328	19	4	280	76	—	—	—	—	—	—
2018	28	MLB MLE	Texas Rangers	—	38	37	6	1	0	1	1	7	0	0	0	162	184	270	454	108	172	18	3	196	19	-4	+0	-1	+6	+1	0.2
2018	28	AAA MLE	Round Rock Express	—	232	210	47	8	0	2	11	42	2	0	1	224	269	290	560	67	249	18	5	239	48	—	—	—	—	—	—
2019	29	MLB MLE	Boston Red Sox	—	18	15	2	0	0	0	2	2	1	1	0	133	278	133	411		154	11	11	217	33	-1	+0	-1	+7	+0	0.6
2019	29	AAA MLE	Pawtucket Red Sox	—	301	274	59	13	0	3	16	56	6	2	0	215	274	296	569	80	252	19	5	255	59	—	—	—	—	—	—
2021	31	AAA MLE	Toledo Mud Hens	—	181	171	40	7	1	1	9	30	0	0	0	234	272	304	576	70	275	17	5	248	54	—	—	—	—	—	—
2021	31	AA MLE	Erie SeaWolves	—	23	20	6	2	0	1	3	4	0	0	0	300	391	550	941	250	282	17	13	347	121	—	—	—	—	—	—
2022	32	AAA MLE	Reno Aces	—	37	34	10	2	0	1	2	5	1	0	1	294	351	441	793	147	297	14	5	309	95	—	—	—	—	—	—
2022	32	AA MLE	Amarillo Sod Poodles	—	337	318	74	17	1	10	10	70	6	1	1	233	269	387	656	154	262	21	3	276	73	—	—	—	—	—	—
2023	33	AA MLE	Amarillo Sod Poodles	—	273	257	52	8	0	0	14	88	0	4	1	202	244	233	477	31	303	32	5	218	34	—	—	—	—	—	—
2007	17	ROK MLE	GCL Mets	—	45	42	5	0	0	0	2	9	1	0	0	119	178	119	297		152	20	4	136	-22	—	—	—	—	—	—
2007	17	ROK RAW	GCL Mets	—	45	41	6	0	0	0	3	6	1	0	0	146	222	146	369		171	13	7	184	-22	—	—	—	—	—	—
2008	18	ROK MLE	GCL Mets	—	75	66	11	1	0	0	5	12	2	0	0	167	247	182	428	15	204	16	7	190	15	—	—	—	—	—	—
2008	18	ROK RAW	GCL Mets	—	75	63	13	1	0	0	8	8	2	0	0	206	315	222	537	16	236	11	11	256	15	—	—	—	—	—	—
2010	20	A+ MLE	St. Lucie Mets	—	41	36	7	0	0	0	2	10	0	1	0	194	237	194	431		259	24	5	182	9	—	—	—	—	—	—
2010	20	A+ RAW	St. Lucie Mets	—	41	35	7	0	0	0	3	7	0	1	0	200	263	200	463		241	17	7	206	9	—	—	—	—	—	—
2011	21	A+ MLE	2 teams	—	231	211	63	7	1	1	11	43	1	3	1	299	336	355	692	57	369	19	5	297	87	—	—	—	—	—	—
2011	21	A+ RAW	2 teams	—	231	204	61	8	1	1	18	28	1	3	1	299	359	363	721	64	341	12	8	318	87	—	—	—	—	—	—
2012	22	AA MLE	2 teams	—	420	383	110	16	3	0	22	71	3	2	1	287	331	345	676	57	347	17	5	289	82	—	—	—	—	—	—
2012	22	AA RAW	2 teams	—	420	373	103	14	3	1	32	56	3	2	1	276	338	338	676	62	318	13	8	301	82	—	—	—	—	—	—
2013	23	AAA MLE	3 teams	—	344	317	91	13	3	0	12	51	4	1	1	287	321	347	668	60	337	15	3	289	82	—	—	—	—	—	—
2013	23	AAA RAW	3 teams	—	344	311	92	14	3	1	18	39	4	1	1	296	342	370	712	74	331	11	5	312	82	—	—	—	—	—	—
2014	24	AAA MLE	4 teams	—	406	374	101	11	0	1	20	69	1	2	1	270	309	307	616	37	323	17	5	274	72	—	—	—	—	—	—
2014	24	AAA RAW	4 teams	—	406	357	89	11	0	1	37	52	1	2	1	249	322	289	610	39	284	13	9	277	72	—	—	—	—	—	—
2015	25	AAA MLE	3 teams	—	283	266	62	7	3	0	7	43	3	2	2	233	261	282	543	49	271	15	2	234	45	—	—	—	—	—	—
2015	25	AAA RAW	3 teams	—	283	255	64	11	3	0	18	34	3	2	2	251	308	318	626	67	282	12	6	279	45	—	—	—	—	—	—
2016	26	MLB MLE	3 teams	—	346	315	80	18	1	5	21	60	4	2	1	254	309	365	674	111	299	17	6	299	88	-5	+0	-10	+6	+7	-0.1
2016	26	MLB RAW	3 teams	—	346	310	78	17	1	4	26	57	4	2	1	252	318	352	669	100	296	16	8	299	88	-5	+0	-10	+6	+7	-0.1
2017	27	AAA MLE	2 teams	—	314	293	78	10	1	3	14	60	1	0	1	266	302	338	640	72	323	19	4	278	74	—	—	—	—	—	—
2017	27	AAA RAW	2 teams	—	314	287	85	12	1	3	20	49	1	0	1	296	344	376	720	80	346	16	6	320	74	—	—	—	—	—	—
2018	28	AAA MLE	3 teams	—	330	300	63	10	0	3	15	59	3	0	1	210	255	273	528	63	247	18	5	233	44	—	—	—	—	—	—
2018	28	AAA RAW	3 teams	—	330	293	68	14	0	4	22	45	3	0	1	232	292	321	613	89	257	14	7	270	44	—	—	—	—	—	—
2019	29	AAA MLE	3 teams	—	412	375	79	17	0	4	23	75	8	4	0	211	271	288	559	77	251	18	6	253	57	—	—	—	—	—	—
2019	29	AAA RAW	3 teams	—	412	366	94	16	0	6	32	56	8	4	0	257	330	350	680	93	287	14	8	307	57	—	—	—	—	—	—
2020	30	INTL MLE	Puerto Rico	—	75	71	25	5	0	4	3	9	1	0	0	352	387	592	978	239	362	12	4	—	—	—	—	—	—	—	—
2020	30	INTL RAW	Puerto Rico	—	75	71	25	5	0	4	3	9	1	0	0	352	387	592	978	239	362	12	4	427	175	—	—	—	—	—	—
2021	31	AAA MLE	3 teams	—	311	289	67	13	1	2	18	51	1	1	0	232	279	304	584	73	274	16	6	259	62	—	—	—	—	—	—
2021	31	AAA RAW	3 teams	—	311	281	68	14	1	3	26	42	1	1	0	242	308	331	639	89	274	14	8	289	62	—	—	—	—	—	—
2022	32	AA MLE	3 teams	—	521	488	114	25	1	14	17	104	9	2	2	234	272	375	647	141	268	20	3	279	75	—	—	—	—	—	—
2022	32	AA RAW	3 teams	—	521	471	134	27	1	15	34	88	9	2	2	285	344	442	786	157	321	17	7	346	75	—	—	—	—	—	—
2023	33	AA MLE	2 teams	—	337	318	65	10	0	1	17	108	0	4	1	204	245	245	490	41	305	32	5	218	34	—	—	—	—	—	—
2023	33	AA RAW	2 teams	—	337	308	81	12	0	2	27	84	0	4	1	263	322	321	644	58	354	25	8	294	34	—	—	—	—	—	—
2024	34	INTL MLE	Cangrejeros de Santurce	—	78	64	13	2	0	2	7	17	4	0	0	203	320	328	648	125	234	22	9	—	—	—	—	—	—	—	—
2024	34	INTL RAW	Cangrejeros de Santurce	—	78	64	13	2	0	2	7	17	4	0	0	203	320	328	648	125	234	22	9	291	83	—	—	—	—	—	—
2025	35	INTL MLE	Puerto Rico	—	59	51	13	1	0	1	6	10	0	0	0	255	333	333	667	78	293	17	10	—	—	—	—	—	—	—	—
2025	35	INTL RAW	Puerto Rico	—	59	51	13	1	0	1	6	10	0	0	0	255	333	333	667	78	293	17	10	297	87	—	—	—	—	—	—
2007	17	ROK MLE	GCL Mets	—	45	42	5	0	0	0	2	9	1	0	0	119	178	119	297		144	20	4	136	-22	—	—	—	—	—	—
2008	18	ROK MLE	GCL Mets	—	75	68	11	1	0	0	5	12	2	0	0	162	247	176	423	15	190	16	7	190	15	—	—	—	—	—	—
2010	20	A+ MLE	St. Lucie Mets	—	41	39	7	0	0	0	2	10	0	1	0	179	237	179	416		225	24	5	182	9	—	—	—	—	—	—
2011	21	A+ MLE	2 teams	—	231	217	63	7	1	1	11	43	1	3	1	290	336	346	682	55	351	19	5	297	87	—	—	—	—	—	—
2012	22	AA MLE	2 teams	—	420	392	110	16	3	0	22	71	3	2	1	281	331	337	668	56	331	17	5	289	82	—	—	—	—	—	—
2013	23	AAA MLE	3 teams	—	344	325	91	13	3	0	12	51	4	1	1	280	321	338	660	58	323	15	3	289	82	—	—	—	—	—	—
2014	24	AAA MLE	4 teams	—	406	382	101	11	0	1	20	69	1	2	1	264	309	301	610	37	313	17	5	274	72	—	—	—	—	—	—
2015	25	AAA MLE	3 teams	—	283	271	62	7	3	0	7	43	3	2	2	229	261	277	538	48	254	15	2	234	45	—	—	—	—	—	—
2016	26	MLB MLE	3 teams	—	346	318	80	18	1	5	21	60	4	2	1	252	309	362	670	110	301	17	6	299	88	—	—	—	—	—	—
2017	27	AAA MLE	2 teams	—	314	296	78	10	1	3	14	60	1	0	1	264	302	334	636	71	316	19	4	278	74	—	—	—	—	—	—
2018	28	AAA MLE	3 teams	—	330	309	63	10	0	3	15	59	3	0	1	204	255	265	520	61	238	18	5	233	44	—	—	—	—	—	—
2019	29	AAA MLE	3 teams	—	412	378	79	17	0	4	23	75	8	4	0	209	271	286	557	77	246	18	6	253	57	—	—	—	—	—	—
2021	31	AAA MLE	3 teams	—	311	289	67	13	1	2	18	51	1	1	0	232	279	304	584	73	276	16	6	259	62	—	—	—	—	—	—
2022	32	AA MLE	3 teams	—	521	490	114	25	1	14	17	104	9	2	2	233	272	373	646	141	265	20	3	279	75	—	—	—	—	—	—
2023	33	AA MLE	2 teams	—	337	317	65	10	0	1	17	108	0	4	1	205	245	246	491	41	303	32	5	218	34	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	361	331	73	14	1	6	24	71	2	1	0	221	277	323	601	103	264	20	7	270	57	-13	+0	-16	+37	+8	1.6
/ 162G	—	A+C		—	650	596	132	25	2	11	43	128	4	2	0	221	278	326	604	104	265	20	7	270	57	-24	+0	-29	+67	+14	2.9
Career	—	MLE		—	4628	4259	1047	166	14	41	222	861	46	24	12	246	290	320	611	74	296	19	5	252	57	-13	+0	-16	+37	+8	1.6
/ 162G	—	MLE		—	650	598	147	23	2	6	31	121	6	3	2	246	289	321	610	75	296	19	5	252	57	-24	+0	-29	+67	+14	2.9

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 AAAmarillo Sod Poodles · 273 PAwOBA .288 → .218 (−70)K% 26.4% → 32.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	26.37%	÷1.003	×1.220	—	—	32.09%
BB% (unintentional) /PA	6.96%	÷0.922	×0.700	—	×0.940	4.97%
HBP% /PA	0.00%	—	×0.870	—	×0.940	0.00%
Singles /BIP	31.28%	÷1.054	×0.920	×0.996	×0.940	25.58%
Doubles /BIP	6.15%	÷1.008	×0.840	×0.996	×0.940	4.79%
Triples /BIP	0.00%	÷1.124	×0.940	×0.996	×0.940	0.00%
Home runs /BIP	0.56%	÷1.637	×0.800	—	×0.940	0.26%

Factors used: league row TL. Park (home-season share, regressed): HR 227, 1B 111, 2B 102, 3B 125, K 101, BB 84 — applied at half strength. Age: age 34 vs a level average of 24.8 → −6.0% on BB/HBP/hit rates (9.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.996.

Result: wOBA .288 → .218; ISO .056 → .038; BABIP .374 → .303. 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).

2022 AAAmarillo Sod Poodles · 337 PAwOBA .367 → .276 (−91)K% 17.2% → 20.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.21%	÷1.008	×1.220	—	—	20.84%
BB% (unintentional) /PA	5.04%	÷1.061	×0.700	—	×0.940	3.13%
HBP% /PA	1.78%	—	×0.870	—	×0.940	1.46%
Singles /BIP	22.53%	÷1.048	×0.920	×0.985	×0.940	18.31%
Doubles /BIP	8.70%	÷1.022	×0.840	×0.985	×0.940	6.62%
Triples /BIP	0.40%	÷0.938	×0.940	×0.985	×0.940	0.37%
Home runs /BIP	5.53%	÷1.094	×0.800	—	×0.940	3.80%

Factors used: league row TL. Park (home-season share, regressed): HR 119, 1B 110, 2B 104, 3B 88, K 102, BB 112 — applied at half strength. Age: age 33 vs a level average of 24.8 → −6.0% on BB/HBP/hit rates (8.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.985.

Result: wOBA .367 → .276; ISO .212 → .152; BABIP .333 → .262. 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).

2022 AAAReno Aces · 37 PAwOBA .387 → .309 (−78)K% 10.8% → 12.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	10.81%	÷1.004	×1.200	—	—	12.92%
BB% (unintentional) /PA	8.11%	÷1.020	×0.690	—	×0.942	5.17%
HBP% /PA	2.70%	—	×0.940	—	×0.942	2.39%
Singles /BIP	27.59%	÷1.025	×0.930	—	×0.942	23.58%
Doubles /BIP	6.90%	÷0.996	×0.830	—	×0.942	5.42%
Triples /BIP	0.00%	÷1.100	×0.970	—	×0.942	0.00%
Home runs /BIP	3.45%	÷0.965	×0.700	—	×0.942	2.36%

Factors used: league row International League. Park (home-season share, regressed): HR 93, 1B 105, 2B 99, 3B 120, K 101, BB 104 — 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 .387 → .309; ISO .152 → .111; BABIP .357 → .297. 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 AAAToledo Mud Hens · 181 PAwOBA .305 → .248 (−58)K% 13.8% → 16.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.81%	÷1.000	×1.200	—	—	16.58%
BB% (unintentional) /PA	7.73%	÷1.038	×0.690	—	×0.952	4.89%
HBP% /PA	0.00%	—	×0.940	—	×0.952	0.00%
Singles /BIP	24.82%	÷0.991	×0.930	×0.985	×0.952	21.85%
Doubles /BIP	6.38%	÷1.013	×0.830	×0.985	×0.952	4.91%
Triples /BIP	0.71%	÷0.981	×0.920	×0.985	×0.952	0.62%
Home runs /BIP	0.71%	÷1.052	×0.700	—	×0.952	0.45%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 110, 1B 98, 2B 103, 3B 96, K 100, BB 108 — applied at half strength. Age: age 32 vs a level average of 27.2 → −4.8% on BB/HBP/hit rates (4.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.985.

Result: wOBA .305 → .248; ISO .084 → .064; BABIP .321 → .275. 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 AAErie SeaWolves · 23 PAwOBA .430 → .347 (−83)K% 13.0% → 15.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.04%	÷1.026	×1.220	—	—	15.50%
BB% (unintentional) /PA	17.39%	÷0.945	×0.690	—	×0.940	11.93%
HBP% /PA	0.00%	—	×0.850	—	×0.940	0.00%
Singles /BIP	18.75%	÷1.030	×0.940	—	×0.940	16.09%
Doubles /BIP	12.50%	÷0.935	×0.870	—	×0.940	10.93%
Triples /BIP	0.00%	÷1.150	×0.920	—	×0.940	0.00%
Home runs /BIP	6.25%	÷1.055	×0.780	—	×0.940	4.34%

Factors used: level-wide AA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 111, 1B 106, 2B 87, 3B 130, K 105, BB 89 — applied at half strength. Age: age 32 vs a level average of 24.8 → −6.0% on BB/HBP/hit rates (7.2 yr older than average).

Result: wOBA .430 → .347; ISO .263 → .210; BABIP .333 → .282. 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 AAAPawtucket Red Sox · 301 PAwOBA .297 → .255 (−42)K% 15.6% → 18.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.61%	÷1.002	×1.200	—	—	18.70%
BB% (unintentional) /PA	7.64%	÷0.963	×0.690	—	×0.972	5.32%
HBP% /PA	1.99%	—	×0.940	—	×0.972	1.82%
Singles /BIP	21.46%	÷0.953	×0.930	×0.950	×0.972	19.34%
Doubles /BIP	6.85%	÷0.896	×0.830	×0.950	×0.972	5.86%
Triples /BIP	0.00%	÷0.900	×0.970	×0.950	×0.972	0.00%
Home runs /BIP	1.83%	÷1.038	×0.840	—	×0.972	1.44%

Factors used: league row IL. Park (home-season share, regressed): HR 108, 1B 91, 2B 79, 3B 80, K 100, BB 93 — applied at half strength. Age: age 30 vs a level average of 27.2 → −2.8% on BB/HBP/hit rates (2.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .297 → .255; ISO .102 → .085; BABIP .284 → .252. 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 AAARound Rock Express · 232 PAwOBA .264 → .239 (−25)K% 14.7% → 17.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.66%	÷1.055	×1.290	—	—	17.91%
BB% (unintentional) /PA	6.90%	÷0.978	×0.710	—	×0.982	4.92%
HBP% /PA	0.86%	—	×0.980	—	×0.982	0.83%
Singles /BIP	21.64%	÷0.962	×0.900	×1.050	×0.982	20.87%
Doubles /BIP	5.26%	÷1.019	×0.810	×1.050	×0.982	4.31%
Triples /BIP	0.00%	÷0.900	×0.810	×1.050	×0.982	0.00%
Home runs /BIP	1.17%	÷0.978	×0.780	—	×0.982	0.92%

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 29 vs a level average of 27.2 → −1.8% on BB/HBP/hit rates (1.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .264 → .239; ISO .073 → .061; BABIP .266 → .249. 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 AAAFresno Grizzlies · 257 PAwOBA .322 → .280 (−42)K% 14.4% → 18.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.40%	÷0.992	×1.290	—	—	18.72%
BB% (unintentional) /PA	6.23%	÷1.028	×0.710	—	×0.992	4.27%
HBP% /PA	0.39%	—	×0.980	—	×0.992	0.38%
Singles /BIP	29.80%	÷0.978	×0.900	×1.006	×0.992	27.36%
Doubles /BIP	6.06%	÷0.926	×0.810	×1.006	×0.992	5.29%
Triples /BIP	0.51%	÷1.150	×0.810	×1.006	×0.992	0.35%
Home runs /BIP	0.51%	÷0.963	×0.780	—	×0.992	0.41%

Factors used: league row PCL. Park (home-season share, regressed): HR 93, 1B 96, 2B 85, 3B 130, K 98, BB 106 — applied at half strength. Age: age 28 vs a level average of 27.2 → −0.8% on BB/HBP/hit rates (0.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.006.

Result: wOBA .322 → .280; ISO .072 → .060; BABIP .362 → .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).

Not traceable per stint: some stints lack the counting stats the component translation needs. Level-wide factors that apply instead — .