José Briceño

PosC

B/TR/R

Born1992-09-19

Age (2027)34

No MLB projection yet. Career stats below are historical.

Overview

AAALAST SEASON 2023

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2021	28	AAA/INTL2 orgs	307	.225/.310/.386	10	5	73	—	.165/.204/.311
2022	29	AAA/INTL2 orgs	197	.217/.273/.339	4	0	31	—	.195/.236/.308
2023	30	AAA/AA/INTL3 orgs	273	.227/.273/.373	10	0	42	—	.177/.212/.294

Contract

No contract data on file.

Skills · percentileMiLB Statcast 2023 AAA

Max EV85

K%47

Z-Con%39

Whiff%23

BB%17

Chase%17

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)
2010	17	ROK	DSL Rockies	—	175	151	31	6	0	0	17	28	3	9	5	205	298	245	543	40	248	16	10	254	5	—	—	—	—	—	—
2011	18	ROK	DSL Rockies	—	193	160	46	10	1	0	23	22	6	12	3	287	397	362	759	75	324	11	12	345	42	—	—	—	—	—	—
2012	19	ROK	Grand Junction Rockies	—	26	23	9	0	0	2	2	2	1	0	0	391	462	652	1.114	261	368	8	8	486	132	—	—	—	—	—	—
2013	20	A	Asheville Tourists	—	96	91	24	6	0	1	5	20	0	1	0	264	302	363	665	99	329	21	5	299	26	—	—	—	—	—	—
2013	20	ROK	Grand Junction Rockies	—	160	153	51	16	0	9	5	30	1	8	2	333	358	614	973	281	365	19	3	419	71	—	—	—	—	—	—
2014	21	A	Asheville Tourists	—	350	315	89	23	1	12	16	57	10	8	4	283	337	476	813	194	312	16	5	350	59	—	—	—	—	—	—
2014	21	INTL	Navegantes del Magallanes	—	27	26	8	1	0	6	0	7	0	0	0	308	308	1.038	1.346	731	143	26	0	543	254	—	—	—	—	—	—
2015	22	A+	Carolina Mudcats	—	327	311	57	14	0	4	12	52	1	2	0	183	216	267	483	84	206	16	4	216	-1	—	—	—	—	—	—
2015	22	INTL	Navegantes del Magallanes	—	15	14	2	0	0	0	1	7	0	0	0	143	200	143	343		286	47	7	167	-1	—	—	—	—	—	—
2016	23	AA	Arkansas Travelers	—	240	227	51	12	2	3	11	42	0	2	2	225	261	335	595	110	262	18	5	264	33	—	—	—	—	—	—
2016	23	A+	Inland Empire 66ers	—	137	125	30	6	0	1	9	28	0	1	1	240	291	312	603	72	293	20	7	269	32	—	—	—	—	—	—
2017	24	AA	Mobile BayBears	—	378	351	68	12	2	9	23	73	0	7	2	194	243	316	560	123	218	19	6	249	18	—	—	—	—	—	—
2017	24	INTL	Navegantes del Magallanes	—	32	30	3	0	0	0	2	9	0	0	0	100	156	100	256		143	28	6	128	-27	—	—	—	—	—	—
2018	25	MLB	Los Angeles Angels	—	128	117	28	2	0	5	8	35	2	0	1	239	299	385	684	145	299	27	6	305	92	-1	-0	+2	+4	+3	0.8
2018	25	AAA	Salt Lake Bees	—	118	112	31	5	0	8	4	22	0	3	0	277	302	536	837	259	274	19	3	357	72	—	—	—	—	—	—
2019	26	AAA	Salt Lake Bees	—	84	79	17	3	0	4	3	20	2	2	0	215	262	405	667	190	236	24	4	295	30	—	—	—	—	—	—
2020	27	INTL	Aguilas del Zulia	—	134	119	40	6	0	6	10	25	3	0	0	336	402	538	939	202	378	19	7	408	162	—	—	—	—	—	—
2021	28	AAA	Albuquerque Isotopes	—	111	101	22	7	0	5	6	24	1	1	0	218	269	436	704	218	227	22	5	301	33	—	—	—	—	—	—
2021	28	INTL	Aguilas del Zulia	—	196	166	38	6	0	5	24	31	2	4	0	229	333	355	689	127	246	16	12	310	96	—	—	—	—	—	—
2022	29	AAA	Omaha Storm Chasers	—	141	131	33	8	0	4	6	31	3	0	0	252	300	405	705	153	299	22	4	312	42	—	—	—	—	—	—
2022	29	INTL	Estrellas Orientales	—	56	49	6	2	0	0	4	11	1	0	0	122	204	163	367	41	154	20	7	173	4	—	—	—	—	—	—
2023	30	AAA	Omaha Storm Chasers	—	122	112	24	1	0	9	8	28	2	0	0	214	279	464	743	250	200	23	7	326	49	—	—	—	—	—	—
2023	30	AA	Northwest Arkansas Naturals	—	67	65	16	3	0	0	2	16	0	0	0	246	269	292	561	46	327	24	3	254	8	—	—	—	—	—	—
2023	30	INTL	Tiburones de La Guaira	—	84	78	18	3	0	1	2	12	2	0	0	231	268	308	576	77	254	14	2	256	59	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	128	117	28	2	0	5	8	35	2	0	1	239	299	385	684	145	299	27	6	305	92	-1	-0	+2	+4	+3	0.8
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2010	17	ROK MLE	DSL Rockies	—	175	156	22	4	0	0	12	34	3	9	5	141	216	167	383	26	169	19	7	175	5	—	—	—	—	—	—
2011	18	ROK MLE	DSL Rockies	—	193	167	31	6	1	0	16	27	6	12	3	186	280	234	514	48	203	14	8	230	42	—	—	—	—	—	—
2012	19	ROK MLE	Grand Junction Rockies	—	26	24	8	0	0	2	1	3	1	0	0	333	385	583	968	250	293	12	4	363	132	—	—	—	—	—	—
2013	20	A MLE	Asheville Tourists	—	96	93	18	3	0	1	3	29	0	1	0	194	219	258	477	65	273	30	3	207	26	—	—	—	—	—	—
2013	20	ROK MLE	Grand Junction Rockies	—	160	156	34	10	0	6	2	43	1	8	2	218	233	397	630	179	262	27	1	273	71	—	—	—	—	—	—
2014	21	A MLE	Asheville Tourists	—	350	321	71	16	1	7	10	78	10	8	4	221	267	343	610	121	256	22	3	255	59	—	—	—	—	—	—
2015	22	A+ MLE	Carolina Mudcats	—	327	316	46	10	0	3	7	73	1	2	0	146	167	206	372	60	177	22	2	166	-1	—	—	—	—	—	—
2016	23	AA MLE	Arkansas Travelers	—	240	230	44	10	2	2	8	51	0	2	2	191	218	278	497	87	233	21	3	217	33	—	—	—	—	—	—
2016	23	A+ MLE	Inland Empire 66ers	—	137	128	25	4	0	1	6	37	0	1	1	195	231	250	481	55	250	27	4	216	32	—	—	—	—	—	—
2017	24	AA MLE	Mobile BayBears	—	378	359	56	8	2	8	15	89	0	7	2	156	190	256	446	100	180	24	4	195	18	—	—	—	—	—	—
2018	25	MLB MLE	Los Angeles Angels	—	128	117	28	2	0	5	8	35	2	0	1	239	299	385	684	145	299	27	6	304	92	-1	-0	+2	+4	+3	0.8
2018	25	AAA MLE	Salt Lake Bees	—	118	113	24	4	0	6	3	28	0	3	0	212	233	407	640	195	217	24	3	274	72	—	—	—	—	—	—
2019	26	AAA MLE	Salt Lake Bees	—	84	80	13	2	0	3	2	26	2	2	0	163	202	300	502	137	191	31	2	212	30	—	—	—	—	—	—
2021	28	AAA MLE	Albuquerque Isotopes	—	111	103	17	6	0	3	4	30	1	1	0	165	204	311	514	146	181	27	4	217	33	—	—	—	—	—	—
2022	29	AAA MLE	Omaha Storm Chasers	—	141	133	26	6	0	3	4	39	3	0	0	195	236	308	544	113	243	28	3	230	42	—	—	—	—	—	—
2023	30	AAA MLE	Omaha Storm Chasers	—	122	115	20	1	0	6	5	34	2	0	0	174	221	339	560	165	179	28	4	241	49	—	—	—	—	—	—
2023	30	AA MLE	Northwest Arkansas Naturals	—	67	66	12	2	0	0	1	19	0	0	0	182	194	212	406	30	255	28	1	180	8	—	—	—	—	—	—
2010	17	ROK MLE	DSL Rockies	—	175	156	22	4	0	0	12	34	3	9	5	141	216	167	383	26	177	19	7	175	5	—	—	—	—	—	—
2010	17	ROK RAW	DSL Rockies	—	175	151	31	6	0	0	17	28	3	9	5	205	298	245	543	40	248	16	10	254	5	—	—	—	—	—	—
2011	18	ROK MLE	DSL Rockies	—	193	167	31	6	1	0	16	27	6	12	3	186	280	234	514	48	215	14	8	230	42	—	—	—	—	—	—
2011	18	ROK RAW	DSL Rockies	—	193	160	46	10	1	0	23	22	6	12	3	287	397	362	759	75	324	11	12	345	42	—	—	—	—	—	—
2012	19	ROK MLE	Grand Junction Rockies	—	26	24	8	0	0	2	1	3	1	0	0	333	385	583	968	250	316	12	4	363	132	—	—	—	—	—	—
2012	19	ROK RAW	Grand Junction Rockies	—	26	23	9	0	0	2	2	2	1	0	0	391	462	652	1.114	261	368	8	8	486	132	—	—	—	—	—	—
2013	20	ROK MLE	2 teams	—	256	248	53	13	0	7	6	72	1	9	2	214	235	351	586	137	271	28	2	248	54	—	—	—	—	—	—
2013	20	ROK RAW	2 teams	—	256	244	75	22	0	10	10	50	1	9	2	307	337	520	858	213	351	20	4	374	54	—	—	—	—	—	—
2014	21	A MLE	2 teams	—	377	346	76	17	1	8	11	84	10	8	4	220	264	344	608	124	266	22	3	255	59	—	—	—	—	—	—
2014	21	A RAW	2 teams	—	377	341	97	24	1	18	16	64	10	8	4	284	335	519	854	235	303	17	4	364	59	—	—	—	—	—	—
2015	22	A+ MLE	2 teams	—	342	330	48	10	0	3	8	76	1	2	0	145	168	203	371	58	178	22	2	166	-1	—	—	—	—	—	—
2015	22	A+ RAW	2 teams	—	342	325	59	14	0	4	13	59	1	2	0	182	215	262	477	80	208	17	4	214	-1	—	—	—	—	—	—
2016	23	AA MLE	2 teams	—	377	358	69	14	2	3	14	88	0	3	3	193	223	268	491	75	244	23	4	217	33	—	—	—	—	—	—
2016	23	AA RAW	2 teams	—	377	352	81	18	2	4	20	70	0	3	3	230	272	327	598	97	273	19	5	266	33	—	—	—	—	—	—
2017	24	AA MLE	2 teams	—	410	390	61	9	2	9	16	97	0	7	2	156	190	259	449	103	182	24	4	195	18	—	—	—	—	—	—
2017	24	AA RAW	2 teams	—	410	381	71	12	2	9	25	82	0	7	2	186	236	299	536	113	212	20	6	240	18	—	—	—	—	—	—
2018	25	MLB MLE	2 teams	—	246	230	52	6	0	11	11	63	2	3	1	226	267	396	663	170	259	26	4	290	82	-5	+0	+2	+4	+5	0.7
2018	25	MLB RAW	2 teams	—	246	229	59	7	0	13	12	57	2	3	1	258	300	459	759	201	286	23	5	330	82	-5	+0	+2	+4	+5	0.7
2019	26	AAA MLE	Salt Lake Bees	—	84	80	13	2	0	3	2	26	2	2	0	163	202	300	502	137	196	31	2	212	30	—	—	—	—	—	—
2019	26	AAA RAW	Salt Lake Bees	—	84	79	17	3	0	4	3	20	2	2	0	215	262	405	667	190	236	24	4	295	30	—	—	—	—	—	—
2020	27	INTL MLE	Aguilas del Zulia	—	134	119	40	6	0	6	10	25	3	0	0	336	402	538	939	202	378	19	7	—	—	—	—	—	—	—	—
2020	27	INTL RAW	Aguilas del Zulia	—	134	119	40	6	0	6	10	25	3	0	0	336	402	538	939	202	378	19	7	408	162	—	—	—	—	—	—
2021	28	INTL MLE	2 teams	—	307	286	46	16	0	8	11	83	3	5	0	161	200	301	501	140	188	27	4	217	33	—	—	—	—	—	—
2021	28	INTL RAW	2 teams	—	307	267	60	13	0	10	30	55	3	5	0	225	310	386	696	161	239	18	10	307	33	—	—	—	—	—	—
2022	29	AAA MLE	2 teams	—	197	184	36	8	0	4	6	54	4	0	0	196	237	304	541	109	250	27	3	230	42	—	—	—	—	—	—
2022	29	AAA RAW	2 teams	—	197	180	39	10	0	4	10	42	4	0	0	217	273	339	612	122	257	21	5	273	42	—	—	—	—	—	—
2023	30	AAA MLE	3 teams	—	273	258	46	4	0	9	9	77	4	0	0	178	218	298	516	120	213	28	3	219	35	—	—	—	—	—	—
2023	30	AAA RAW	3 teams	—	273	255	58	7	0	10	12	56	4	0	0	227	273	373	646	145	251	21	4	286	35	—	—	—	—	—	—
2010	17	ROK MLE	DSL Rockies	—	175	158	22	4	0	0	12	34	3	9	5	139	216	165	381	25	169	19	7	175	5	—	—	—	—	—	—
2011	18	ROK MLE	DSL Rockies	—	193	169	31	6	1	0	16	27	6	12	3	183	280	231	511	47	203	14	8	230	42	—	—	—	—	—	—
2012	19	ROK MLE	Grand Junction Rockies	—	26	24	8	0	0	2	1	3	1	0	0	333	385	583	968	250	293	12	4	363	132	—	—	—	—	—	—
2013	20	ROK MLE	2 teams	—	256	247	53	13	0	7	6	72	1	9	2	215	235	352	588	138	266	28	2	248	54	—	—	—	—	—	—
2014	21	A MLE	2 teams	—	377	353	76	17	1	8	11	84	10	8	4	215	264	337	601	122	256	22	3	255	59	—	—	—	—	—	—
2015	22	A+ MLE	2 teams	—	342	330	48	10	0	3	8	76	1	2	0	145	168	203	371	58	177	22	2	166	-1	—	—	—	—	—	—
2016	23	AA MLE	2 teams	—	377	360	69	14	2	3	14	88	0	3	3	192	223	267	490	75	239	23	4	217	33	—	—	—	—	—	—
2017	24	AA MLE	2 teams	—	410	391	61	9	2	9	16	97	0	7	2	156	190	258	448	102	180	24	4	195	18	—	—	—	—	—	—
2018	25	MLB MLE	2 teams	—	246	231	52	6	0	11	11	63	2	3	1	225	267	394	661	169	260	26	4	290	82	—	—	—	—	—	—
2019	26	AAA MLE	Salt Lake Bees	—	84	80	13	2	0	3	2	26	2	2	0	163	202	300	502	137	191	31	2	212	30	—	—	—	—	—	—
2021	28	INTL MLE	2 teams	—	307	290	46	16	0	8	11	83	3	5	0	159	200	297	497	138	181	27	4	217	33	—	—	—	—	—	—
2022	29	AAA MLE	2 teams	—	197	185	36	8	0	4	6	54	4	0	0	195	237	303	540	108	243	27	3	230	42	—	—	—	—	—	—
2023	30	AAA MLE	3 teams	—	273	258	46	4	0	9	9	77	4	0	0	178	218	298	516	120	206	28	3	219	35	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	128	117	28	2	0	5	8	35	2	0	1	239	299	385	684	145	299	27	6	305	30	-1	-0	+2	+4	+3	0.8
/ 162G	—	A+C		—	650	594	142	10	0	25	41	178	10	0	5	239	299	382	681	143	299	27	6	305	30	-6	-2	+12	+22	+14	4.1
Career	—	MLE		—	3397	3176	601	115	6	73	133	809	40	60	20	189	231	298	529	109	227	24	4	213	30	-1	-0	+2	+4	+3	0.8
/ 162G	—	MLE		—	650	608	115	22	1	14	25	155	8	11	4	189	231	298	529	109	227	24	4	213	30	-6	-2	+12	+22	+14	4.1

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 AAAOmaha Storm Chasers · 122 PAwOBA .316 → .241 (−75)K% 23.0% → 27.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.95%	÷0.995	×1.200	—	—	27.68%
BB% (unintentional) /PA	6.56%	÷1.030	×0.690	—	×0.962	4.23%
HBP% /PA	1.64%	—	×0.940	—	×0.962	1.48%
Singles /BIP	16.67%	÷0.978	×0.930	×1.021	×0.962	15.57%
Doubles /BIP	1.19%	÷1.000	×0.830	×1.021	×0.962	0.97%
Triples /BIP	0.00%	÷1.150	×0.970	×1.021	×0.962	0.00%
Home runs /BIP	10.71%	÷0.942	×0.700	—	×0.962	7.66%

Factors used: league row International League. Park (home-season share, regressed): HR 88, 1B 96, 2B 100, 3B 130, K 99, BB 106 — 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 ×1.021.

Result: wOBA .316 → .241; ISO .250 → .174; BABIP .200 → .179. 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).

2023 AANorthwest Arkansas Naturals · 67 PAwOBA .247 → .180 (−67)K% 23.9% → 28.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.88%	÷1.014	×1.220	—	—	28.73%
BB% (unintentional) /PA	2.99%	÷0.984	×0.700	—	×0.940	2.00%
HBP% /PA	0.00%	—	×0.870	—	×0.940	0.00%
Singles /BIP	26.53%	÷1.055	×0.920	×0.982	×0.940	21.35%
Doubles /BIP	6.12%	÷1.131	×0.840	×0.982	×0.940	4.20%
Triples /BIP	0.00%	÷1.062	×0.940	×0.982	×0.940	0.00%
Home runs /BIP	0.00%	÷0.872	×0.800	—	×0.940	0.00%

Factors used: league row TL. Park (home-season share, regressed): HR 74, 1B 111, 2B 126, 3B 112, K 103, BB 97 — applied at half strength. Age: age 31 vs a level average of 24.8 → −6.0% on BB/HBP/hit rates (6.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.982.

Result: wOBA .247 → .180; ISO .046 → .030; BABIP .327 → .255. 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 AAAOmaha Storm Chasers · 141 PAwOBA .305 → .230 (−76)K% 22.0% → 27.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.99%	÷0.957	×1.200	—	—	27.56%
BB% (unintentional) /PA	4.26%	÷1.001	×0.690	—	×0.972	2.85%
HBP% /PA	2.13%	—	×0.940	—	×0.972	1.94%
Singles /BIP	21.00%	÷1.016	×0.930	×0.960	×0.972	17.95%
Doubles /BIP	8.00%	÷1.041	×0.830	×0.960	×0.972	5.95%
Triples /BIP	0.00%	÷1.150	×0.970	×0.960	×0.972	0.00%
Home runs /BIP	4.00%	÷0.984	×0.700	—	×0.972	2.77%

Factors used: league row International League. Park (home-season share, regressed): HR 97, 1B 103, 2B 108, 3B 130, K 91, BB 100 — 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 ×0.960.

Result: wOBA .305 → .230; ISO .153 → .104; BABIP .299 → .243. 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 AAAAlbuquerque Isotopes · 111 PAwOBA .300 → .217 (−83)K% 21.6% → 27.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.62%	÷0.958	×1.200	—	—	27.08%
BB% (unintentional) /PA	5.41%	÷1.032	×0.690	—	×0.982	3.55%
HBP% /PA	0.90%	—	×0.940	—	×0.982	0.83%
Singles /BIP	12.99%	÷1.110	×0.930	×0.999	×0.982	10.68%
Doubles /BIP	9.09%	÷0.988	×0.830	×0.999	×0.982	7.49%
Triples /BIP	0.00%	÷1.150	×0.920	×0.999	×0.982	0.00%
Home runs /BIP	6.49%	÷1.172	×0.700	—	×0.982	3.81%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 134, 1B 122, 2B 98, 3B 130, K 92, BB 106 — 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 ×0.999.

Result: wOBA .300 → .217; ISO .218 → .142; BABIP .227 → .181. 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 AAASalt Lake Bees · 84 PAwOBA .286 → .212 (−75)K% 23.8% → 30.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.81%	÷1.009	×1.290	—	—	30.44%
BB% (unintentional) /PA	3.57%	÷0.980	×0.710	—	×1.003	2.60%
HBP% /PA	2.38%	—	×0.980	—	×1.003	2.34%
Singles /BIP	16.95%	÷1.007	×0.900	×0.950	×1.003	14.44%
Doubles /BIP	5.08%	÷1.062	×0.810	×0.950	×1.003	3.70%
Triples /BIP	0.00%	÷0.900	×0.810	×0.950	×1.003	0.00%
Home runs /BIP	6.78%	÷1.059	×0.780	—	×1.003	5.01%

Factors used: league row PCL. Park (home-season share, regressed): HR 112, 1B 101, 2B 112, 3B 80, K 102, BB 96 — applied at half strength. Age: age 27 vs a level average of 27.2 → +0.3% on BB/HBP/hit rates (0.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .286 → .212; ISO .190 → .129; BABIP .236 → .191. 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 AAASalt Lake Bees · 118 PAwOBA .352 → .274 (−78)K% 18.6% → 24.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.64%	÷1.003	×1.290	—	—	23.98%
BB% (unintentional) /PA	3.39%	÷1.068	×0.710	—	×1.018	2.29%
HBP% /PA	0.00%	—	×0.980	—	×1.018	0.00%
Singles /BIP	20.00%	÷1.064	×0.900	×0.952	×1.018	16.39%
Doubles /BIP	5.56%	÷1.045	×0.810	×0.952	×1.018	4.17%
Triples /BIP	0.00%	÷0.969	×0.810	×0.952	×1.018	0.00%
Home runs /BIP	8.89%	÷0.958	×0.780	—	×1.018	7.37%

Factors used: league row PCL. Park (home-season share, regressed): HR 92, 1B 113, 2B 109, 3B 94, K 101, BB 114 — 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 ×0.952.

Result: wOBA .352 → .274; ISO .259 → .204; BABIP .274 → .217. 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 AAMobile BayBears · 378 PAwOBA .242 → .195 (−48)K% 19.3% → 23.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.31%	÷0.998	×1.220	—	—	23.60%
BB% (unintentional) /PA	5.82%	÷0.986	×0.680	—	×0.998	4.01%
HBP% /PA	0.00%	—	×0.840	—	×0.998	0.00%
Singles /BIP	16.19%	÷1.018	×0.920	×0.950	×0.998	13.87%
Doubles /BIP	4.32%	÷1.204	×0.910	×0.950	×0.998	3.09%
Triples /BIP	0.72%	÷0.930	×0.880	×0.950	×0.998	0.65%
Home runs /BIP	3.24%	÷0.896	×0.800	—	×0.998	2.89%

Factors used: league row SL. Park (home-season share, regressed): HR 79, 1B 104, 2B 141, 3B 86, K 100, BB 97 — applied at half strength. Age: age 25 vs a level average of 24.8 → −0.2% on BB/HBP/hit rates (0.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .242 → .195; ISO .123 → .102; BABIP .218 → .180. 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 AAArkansas Travelers · 240 PAwOBA .258 → .217 (−40)K% 17.5% → 21.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.50%	÷1.009	×1.220	—	—	21.15%
BB% (unintentional) /PA	4.58%	÷0.979	×0.700	—	×1.012	3.32%
HBP% /PA	0.00%	—	×0.870	—	×1.012	0.00%
Singles /BIP	18.38%	÷0.995	×0.920	×0.973	×1.012	16.73%
Doubles /BIP	6.49%	÷0.975	×0.840	×0.973	×1.012	5.50%
Triples /BIP	1.08%	÷1.150	×0.940	×0.973	×1.012	0.87%
Home runs /BIP	1.62%	÷0.972	×0.800	—	×1.012	1.35%

Factors used: league row TL. Park (home-season share, regressed): HR 94, 1B 99, 2B 95, 3B 130, K 102, BB 96 — applied at half strength. Age: age 24 vs a level average of 24.8 → +1.2% on BB/HBP/hit rates (0.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.973.

Result: wOBA .258 → .217; ISO .110 → .090; BABIP .262 → .233. 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 — .