Wynton Bernard

PosCF

B/TR/R

Born1990-09-24

Age (2027)36

No MLB projection yet. Career stats below are historical.

Overview

INTLROOKIE

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2023	32	AAA/INTL2 orgs	588	.296/.372/.432	11	41	69	—	.238/.295/.335
2024	33	AAA/INTL2 orgs	465	.259/.320/.374	8	36	70	—	.224/.254/.311
2025	34	INTLAguilas de Me…	112	.235/.304/.333	0	5	82	—

Contract

No contract data on file.

Skills · percentileMiLB Statcast 2024 AAA

Max EV95

Speed95

K%82

Z-Con%74

Whiff%73

Chase%35

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)
2012	21	ROK	AZL Padres	—	65	56	13	3	0	1	7	14	1	4	0	232	328	339	667	107	286	22	11	303	28	—	—	—	—	—	—
2013	22	A+	Lake Elsinore Storm	—	15	14	3	0	1	0	1	2	0	0	1	214	267	357	624	143	250	13	7	275	28	—	—	—	—	—	—
2013	22	A	Fort Wayne TinCaps	—	16	15	3	0	1	0	1	5	0	1	1	200	250	333	583	133	300	31	6	258	15	—	—	—	—	—	—
2014	23	A	West Michigan Whitecaps	—	583	507	164	30	6	6	56	86	5	45	19	323	396	442	838	118	378	15	10	367	93	—	—	—	—	—	—
2015	24	AA	Erie SeaWolves	—	587	534	161	29	8	4	38	73	4	43	16	301	352	408	761	107	344	12	6	335	87	—	—	—	—	—	—
2015	24	INTL	Leones del Caracas	—	86	80	23	5	2	0	3	12	3	7	1	287	337	400	737	113	338	14	3	331	110	—	—	—	—	—	—
2016	25	AAA	Toledo Mud Hens	—	163	149	35	5	1	1	10	30	1	10	3	235	286	302	588	67	286	18	6	265	42	—	—	—	—	—	—
2016	25	AA	Erie SeaWolves	—	263	227	70	8	4	6	27	39	1	13	2	308	383	458	841	150	348	15	10	364	95	—	—	—	—	—	—
2017	26	AAA	Sacramento River Cats	—	211	193	49	8	2	2	12	41	2	13	1	254	304	347	651	93	311	19	6	289	51	—	—	—	—	—	—
2017	26	INTL	Aguilas del Zulia	—	20	17	5	1	0	1	1	5	1	0	0	294	368	529	898	235	364	25	5	376	140	—	—	—	—	—	—
2018	27	AAA	Iowa Cubs	—	156	147	30	10	3	1	6	32	1	11	2	204	239	333	572	129	254	21	4	251	16	—	—	—	—	—	—
2018	27	AA	Tennessee Smokies	—	118	105	31	2	0	2	10	20	1	14	2	295	359	371	730	76	349	17	8	329	74	—	—	—	—	—	—
2018	27	INTL	Brisbane Bandits	—	62	56	13	2	0	2	5	12	1	3	0	232	306	375	681	143	262	19	8	308	95	—	—	—	—	—	—
2019	28	AAA	Iowa Cubs	—	106	95	25	6	3	1	10	21	0	6	3	263	330	421	751	158	329	20	9	332	54	—	—	—	—	—	—
2019	28	AA	Tennessee Smokies	—	37	31	10	3	0	1	6	4	0	2	1	323	432	516	949	194	346	11	16	420	107	—	—	—	—	—	—
2019	28	INTL	Sultanes de Monterrey	—	45	43	13	1	0	2	1	7	0	4	2	302	318	465	783	163	324	16	2	338	115	—	—	—	—	—	—
2020	29	INTL	Tigres del Licey	—	15	15	3	0	0	1	0	5	0	0	0	200	200	400	600	200	222	33	0	259	62	—	—	—	—	—	—
2021	30	AAA	Albuquerque Isotopes	—	351	319	81	12	6	7	26	76	5	23	2	254	320	395	715	141	312	22	7	320	42	—	—	—	—	—	—
2021	30	INTL	Aguilas de Mexicali	—	64	58	19	4	1	2	6	9	0	5	0	328	391	534	925	207	362	14	9	406	161	—	—	—	—	—	—
2022	31	MLB	Colorado Rockies	—	42	42	12	1	0	0	0	8	0	3	1	286	286	310	595	24	353	19	0	268	61	-2	+0	+0	+2	+1	0.1
2022	31	AAA	Albuquerque Isotopes	—	475	429	143	31	8	21	39	67	2	30	5	333	391	590	981	256	353	14	8	422	107	—	—	—	—	—	—
2023	32	AAA	Albuquerque Isotopes	—	571	506	153	36	1	11	56	103	5	41	7	302	377	443	820	140	359	18	10	365	72	—	—	—	—	—	—
2023	32	INTL	Toros del Este	—	17	15	1	0	0	0	2	4	0	0	0	67	176	67	243		91	24	12	135	-22	—	—	—	—	—	—
2024	33	AAA	St. Paul Saints	—	265	250	69	12	2	5	12	44	2	23	2	276	314	400	714	124	317	17	5	317	54	—	—	—	—	—	—
2024	33	INTL	Aguilas de Mexicali	—	200	175	41	5	2	3	22	32	2	13	3	234	327	337	664	103	270	16	11	304	92	—	—	—	—	—	—
2025	34	INTL	Aguilas de Mexicali	—	112	102	24	8	1	0	9	26	1	5	0	235	304	333	637	98	316	23	8	290	82	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	42	42	12	1	0	0	0	8	0	3	1	286	286	310	595	24	353	19	0	268	67	-2	+0	+0	+2	+1	0.2
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2012	21	ROK MLE	AZL Padres	—	65	59	10	2	0	1	4	20	1	4	0	169	234	254	489	85	221	31	6	210	28	—	—	—	—	—	—
2013	22	A+ MLE	Lake Elsinore Storm	—	15	14	3	0	1	0	1	3	0	0	1	214	267	357	624	143	211	20	7	209	28	—	—	—	—	—	—
2013	22	A MLE	Fort Wayne TinCaps	—	16	15	2	0	1	0	1	7	0	1	1	133	188	267	454	133	272	44	6	190	15	—	—	—	—	—	—
2014	23	A MLE	West Michigan Whitecaps	—	583	525	147	26	6	6	38	128	5	45	19	280	335	387	721	107	340	22	7	305	93	—	—	—	—	—	—
2015	24	AA MLE	Erie SeaWolves	—	587	547	156	24	7	3	25	93	4	43	16	285	321	371	692	86	332	16	4	297	87	—	—	—	—	—	—
2016	25	AAA MLE	Toledo Mud Hens	—	163	153	33	4	1	1	7	36	1	10	3	216	255	275	529	59	265	22	4	230	42	—	—	—	—	—	—
2016	25	AA MLE	Erie SeaWolves	—	263	237	65	7	4	4	18	48	1	13	2	274	328	388	716	114	315	18	7	309	95	—	—	—	—	—	—
2017	26	AAA MLE	Sacramento River Cats	—	211	196	44	7	2	2	9	53	2	13	1	224	266	311	577	87	284	25	4	244	51	—	—	—	—	—	—
2018	27	AAA MLE	Iowa Cubs	—	156	150	24	7	2	1	4	41	1	11	2	160	187	253	440	93	217	26	3	192	16	—	—	—	—	—	—
2018	27	AA MLE	Tennessee Smokies	—	118	109	29	2	0	2	7	25	1	14	2	266	316	339	656	73	320	21	6	278	74	—	—	—	—	—	—
2019	28	AAA MLE	Iowa Cubs	—	106	100	20	4	2	1	6	26	0	6	3	200	245	310	555	110	267	25	6	248	54	—	—	—	—	—	—
2019	28	AA MLE	Tennessee Smokies	—	37	33	9	3	0	1	4	5	0	2	1	273	351	455	806	182	293	14	11	327	107	—	—	—	—	—	—
2021	30	AAA MLE	Albuquerque Isotopes	—	351	328	63	10	5	4	17	95	5	23	2	192	243	290	532	98	252	27	5	230	42	—	—	—	—	—	—
2022	31	MLB MLE	Colorado Rockies	—	42	42	12	1	0	0	0	8	0	3	1	286	286	310	595	24	353	19	0	259	61	-2	+0	+0	+2	+1	0.1
2022	31	AAA MLE	Albuquerque Isotopes	—	475	441	119	25	7	13	27	81	2	30	5	270	315	447	762	177	296	17	6	327	107	—	—	—	—	—	—
2023	32	AAA MLE	Albuquerque Isotopes	—	571	525	125	28	1	7	37	131	5	41	7	238	295	335	630	97	296	23	6	275	72	—	—	—	—	—	—
2024	33	AAA MLE	St. Paul Saints	—	265	254	57	9	2	3	8	53	2	23	2	224	254	311	565	87	272	20	3	248	54	—	—	—	—	—	—
2012	21	ROK MLE	AZL Padres	—	65	59	10	2	0	1	4	20	1	4	0	169	234	254	489	85	231	31	6	210	28	—	—	—	—	—	—
2012	21	ROK RAW	AZL Padres	—	65	56	13	3	0	1	7	14	1	4	0	232	328	339	667	107	286	22	11	303	28	—	—	—	—	—	—
2013	22	A MLE	2 teams	—	31	30	4	0	1	0	1	10	0	1	2	133	161	200	361	67	200	32	3	199	21	—	—	—	—	—	—
2013	22	A RAW	2 teams	—	31	29	6	0	2	0	2	7	0	1	2	207	258	345	603	138	273	23	6	266	21	—	—	—	—	—	—
2014	23	A MLE	West Michigan Whitecaps	—	583	525	147	26	6	6	38	128	5	45	19	280	335	387	721	107	358	22	7	305	93	—	—	—	—	—	—
2014	23	A RAW	West Michigan Whitecaps	—	583	507	164	30	6	6	56	86	5	45	19	323	396	442	838	118	378	15	10	367	93	—	—	—	—	—	—
2015	24	AA MLE	2 teams	—	673	627	178	27	8	3	28	106	7	50	17	284	322	367	689	83	338	16	4	297	87	—	—	—	—	—	—
2015	24	AA RAW	2 teams	—	673	614	184	34	10	4	41	85	7	50	17	300	350	407	758	107	343	13	6	334	87	—	—	—	—	—	—
2016	25	AA MLE	2 teams	—	426	390	97	11	4	5	25	83	2	23	5	249	297	336	633	87	302	19	6	279	75	—	—	—	—	—	—
2016	25	AA RAW	2 teams	—	426	376	105	13	5	7	37	69	2	23	5	279	345	396	742	117	323	16	9	326	75	—	—	—	—	—	—
2017	26	AAA MLE	2 teams	—	231	213	47	7	2	2	10	58	3	13	1	221	265	300	566	80	292	25	4	244	51	—	—	—	—	—	—
2017	26	AAA RAW	2 teams	—	231	210	54	9	2	3	13	46	3	13	1	257	310	362	672	105	315	20	6	297	51	—	—	—	—	—	—
2018	27	AAA MLE	3 teams	—	336	318	65	11	3	3	13	82	3	28	4	204	243	286	529	82	266	24	4	229	41	—	—	—	—	—	—
2018	27	AAA RAW	3 teams	—	336	308	74	14	3	5	21	64	3	28	4	240	293	354	647	114	289	19	6	289	41	—	—	—	—	—	—
2019	28	AAA MLE	3 teams	—	188	174	39	10	3	2	13	41	0	12	6	224	278	351	629	126	282	22	7	268	68	—	—	—	—	—	—
2019	28	AAA RAW	3 teams	—	188	169	48	10	3	4	17	32	0	12	6	284	348	450	797	166	331	17	9	351	68	—	—	—	—	—	—
2020	29	INTL MLE	Tigres del Licey	—	15	15	3	0	0	1	0	5	0	0	0	200	200	400	600	200	222	33	0	—	—	—	—	—	—	—	—
2020	29	INTL RAW	Tigres del Licey	—	15	15	3	0	0	1	0	5	0	0	0	200	200	400	600	200	222	33	0	259	62	—	—	—	—	—	—
2021	30	AAA MLE	2 teams	—	415	389	73	11	5	5	20	112	5	28	2	188	237	280	517	93	249	27	5	230	42	—	—	—	—	—	—
2021	30	AAA RAW	2 teams	—	415	377	100	16	7	9	32	85	5	28	2	265	331	416	747	151	320	20	8	333	42	—	—	—	—	—	—
2022	31	AAA MLE	2 teams	—	517	483	131	26	7	13	27	89	2	33	6	271	312	435	747	164	306	17	5	321	104	—	—	—	—	—	—
2022	31	AAA RAW	2 teams	—	517	471	155	32	8	21	39	75	2	33	6	329	383	565	948	236	353	15	8	409	104	—	—	—	—	—	—
2023	32	AAA MLE	2 teams	—	588	541	128	28	1	7	38	135	5	41	7	237	293	331	624	94	300	23	6	275	72	—	—	—	—	—	—
2023	32	AAA RAW	2 teams	—	588	521	154	36	1	11	58	107	5	41	7	296	372	432	803	136	351	18	10	359	72	—	—	—	—	—	—
2024	33	AAA MLE	2 teams	—	465	445	100	16	3	5	14	93	4	36	5	225	255	308	563	83	272	20	3	248	54	—	—	—	—	—	—
2024	33	AAA RAW	2 teams	—	465	425	110	17	4	8	34	76	4	36	5	259	320	374	694	115	297	16	7	312	54	—	—	—	—	—	—
2025	34	INTL MLE	Aguilas de Mexicali	—	112	102	24	8	1	0	9	26	1	5	0	235	304	333	637	98	316	23	8	—	—	—	—	—	—	—	—
2025	34	INTL RAW	Aguilas de Mexicali	—	112	102	24	8	1	0	9	26	1	5	0	235	304	333	637	98	316	23	8	290	82	—	—	—	—	—	—
2012	21	ROK MLE	AZL Padres	—	65	60	10	2	0	1	4	20	1	4	0	167	234	250	484	83	221	31	6	210	28	—	—	—	—	—	—
2013	22	A MLE	2 teams	—	31	30	4	0	1	0	1	10	0	1	2	133	161	200	361	67	242	32	3	199	21	—	—	—	—	—	—
2014	23	A MLE	West Michigan Whitecaps	—	583	535	147	26	6	6	38	128	5	45	19	275	335	379	714	105	340	22	7	305	93	—	—	—	—	—	—
2015	24	AA MLE	2 teams	—	673	633	178	27	8	3	28	106	7	50	17	281	322	363	685	82	332	16	4	297	87	—	—	—	—	—	—
2016	25	AA MLE	2 teams	—	426	396	97	11	4	5	25	83	2	23	5	245	297	331	628	86	296	19	6	279	75	—	—	—	—	—	—
2017	26	AAA MLE	2 teams	—	231	216	47	7	2	2	10	58	3	13	1	218	265	296	562	79	284	25	4	244	51	—	—	—	—	—	—
2018	27	AAA MLE	3 teams	—	336	317	65	11	3	3	13	82	3	28	4	205	243	287	530	82	261	24	4	229	41	—	—	—	—	—	—
2019	28	AAA MLE	3 teams	—	188	173	39	10	3	2	13	41	0	12	6	225	278	353	631	127	274	22	7	268	68	—	—	—	—	—	—
2021	30	AAA MLE	2 teams	—	415	387	73	11	5	5	20	112	5	28	2	189	237	282	518	93	252	27	5	230	42	—	—	—	—	—	—
2022	31	AAA MLE	2 teams	—	517	483	131	26	7	13	27	89	2	33	6	271	312	435	747	164	301	17	5	321	104	—	—	—	—	—	—
2023	32	AAA MLE	2 teams	—	588	540	128	28	1	7	38	135	5	41	7	237	293	331	624	94	296	23	6	275	72	—	—	—	—	—	—
2024	33	AAA MLE	2 teams	—	465	444	100	16	3	5	14	93	4	36	5	225	255	309	563	83	272	20	3	248	54	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	33	AAA MLE	2 teams	—	465	444	100	16	3	5	14	93	4	36	5	225	255	309	563	83	272	20	3	248	54	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	42	42	12	1	0	0	0	8	0	3	1	286	286	310	595	24	353	19	0	268	67	-2	+0	+0	+2	+1	0.2
/ 162G	—	A+C		—	650	650	185	15	0	0	0	124	0	46	15	285	285	308	592	23	352	19	0	268	67	-25	+3	+6	+29	+14	2.7
Career	—	MLE		—	4645	4311	1046	183	44	53	240	988	38	319	74	243	289	342	631	100	302	21	5	267	67	-2	+0	+0	+2	+1	0.2
/ 162G	—	MLE		—	650	603	146	26	6	7	34	138	5	45	10	242	288	340	628	98	302	21	5	267	67	-25	+3	+6	+29	+14	2.7

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.

2024 AAASt. Paul Saints · 265 PAwOBA .310 → .248 (−62)K% 16.6% → 20.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.60%	÷0.995	×1.200	—	—	20.02%
BB% (unintentional) /PA	4.53%	÷0.985	×0.690	—	×0.940	2.98%
HBP% /PA	0.75%	—	×0.940	—	×0.940	0.67%
Singles /BIP	24.27%	÷1.010	×0.930	×1.018	×0.940	21.40%
Doubles /BIP	5.83%	÷0.996	×0.830	×1.018	×0.940	4.65%
Triples /BIP	0.97%	÷1.043	×0.970	×1.018	×0.940	0.86%
Home runs /BIP	2.43%	÷1.039	×0.700	—	×0.940	1.54%

Factors used: league row International League. Park (home-season share, regressed): HR 108, 1B 102, 2B 99, 3B 109, K 99, BB 97 — applied at half strength. Age: age 34 vs a level average of 27.2 → −6.0% on BB/HBP/hit rates (6.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.018.

Result: wOBA .310 → .248; ISO .124 → .089; BABIP .317 → .272. 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 AAAAlbuquerque Isotopes · 571 PAwOBA .358 → .275 (−83)K% 18.0% → 22.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.04%	÷0.947	×1.200	—	—	22.86%
BB% (unintentional) /PA	9.81%	÷0.984	×0.690	—	×0.942	6.48%
HBP% /PA	0.88%	—	×0.940	—	×0.942	0.78%
Singles /BIP	26.05%	÷1.018	×0.930	×0.994	×0.942	22.28%
Doubles /BIP	8.93%	÷1.002	×0.830	×0.994	×0.942	6.93%
Triples /BIP	0.25%	÷1.150	×0.970	×0.994	×0.942	0.20%
Home runs /BIP	2.73%	÷1.062	×0.700	—	×0.942	1.70%

Factors used: league row International League. Park (home-season share, regressed): HR 112, 1B 104, 2B 100, 3B 130, K 89, BB 97 — 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 ×0.994.

Result: wOBA .358 → .275; ISO .140 → .098; BABIP .359 → .296. 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 AAAAlbuquerque Isotopes · 475 PAwOBA .414 → .327 (−87)K% 14.1% → 17.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.11%	÷0.995	×1.200	—	—	17.01%
BB% (unintentional) /PA	8.21%	÷0.945	×0.690	—	×0.952	5.71%
HBP% /PA	0.42%	—	×0.940	—	×0.952	0.38%
Singles /BIP	22.93%	÷1.047	×0.930	×1.046	×0.952	20.29%
Doubles /BIP	8.56%	÷1.038	×0.830	×1.046	×0.952	6.82%
Triples /BIP	2.21%	÷1.150	×0.970	×1.046	×0.952	1.86%
Home runs /BIP	5.80%	÷1.061	×0.700	—	×0.952	3.64%

Factors used: league row International League. Park (home-season share, regressed): HR 112, 1B 109, 2B 108, 3B 130, K 99, BB 89 — 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 ×1.046.

Result: wOBA .414 → .327; ISO .256 → .183; BABIP .353 → .296. 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 · 351 PAwOBA .312 → .230 (−82)K% 21.7% → 27.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.65%	÷0.958	×1.200	—	—	27.12%
BB% (unintentional) /PA	7.41%	÷1.032	×0.690	—	×0.962	4.76%
HBP% /PA	1.42%	—	×0.940	—	×0.962	1.29%
Singles /BIP	23.05%	÷1.110	×0.930	×1.017	×0.962	18.88%
Doubles /BIP	4.94%	÷0.988	×0.830	×1.017	×0.962	4.06%
Triples /BIP	2.47%	÷1.150	×0.920	×1.017	×0.962	1.93%
Home runs /BIP	2.88%	÷1.172	×0.700	—	×0.962	1.65%

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 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 ×1.017.

Result: wOBA .312 → .230; ISO .141 → .095; BABIP .312 → .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).

2019 AAAIowa Cubs · 106 PAwOBA .320 → .248 (−72)K% 19.8% → 24.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.81%	÷1.025	×1.290	—	—	24.93%
BB% (unintentional) /PA	8.49%	÷0.968	×0.710	—	×0.982	6.11%
HBP% /PA	0.00%	—	×0.980	—	×0.982	0.00%
Singles /BIP	20.27%	÷0.993	×0.900	×0.960	×0.982	17.33%
Doubles /BIP	8.11%	÷1.014	×0.810	×0.960	×0.982	6.11%
Triples /BIP	4.05%	÷1.029	×0.810	×0.960	×0.982	3.01%
Home runs /BIP	1.35%	÷1.050	×0.780	—	×0.982	0.99%

Factors used: league row PCL. Park (home-season share, regressed): HR 110, 1B 99, 2B 103, 3B 106, K 105, BB 94 — 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 ×0.960.

Result: wOBA .320 → .248; ISO .158 → .116; BABIP .329 → .267. 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 AATennessee Smokies · 37 PAwOBA .410 → .327 (−83)K% 10.8% → 13.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	10.81%	÷0.972	×1.220	—	—	13.56%
BB% (unintentional) /PA	16.22%	÷1.047	×0.680	—	×0.958	10.09%
HBP% /PA	0.00%	—	×0.840	—	×0.958	0.00%
Singles /BIP	22.22%	÷1.051	×0.920	—	×0.958	18.63%
Doubles /BIP	11.11%	÷0.977	×0.910	—	×0.958	9.92%
Triples /BIP	0.00%	÷0.957	×0.880	—	×0.958	0.00%
Home runs /BIP	3.70%	÷1.142	×0.800	—	×0.958	2.49%

Factors used: league row SL. Park (home-season share, regressed): HR 128, 1B 110, 2B 95, 3B 91, K 94, BB 109 — applied at half strength. Age: age 29 vs a level average of 24.8 → −4.2% on BB/HBP/hit rates (4.2 yr older than average).

Result: wOBA .410 → .327; ISO .194 → .158; BABIP .346 → .293. 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 AAAIowa Cubs · 156 PAwOBA .244 → .192 (−52)K% 20.5% → 26.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.51%	÷0.993	×1.290	—	—	26.65%
BB% (unintentional) /PA	3.85%	÷1.116	×0.710	—	×0.992	2.43%
HBP% /PA	0.64%	—	×0.980	—	×0.992	0.62%
Singles /BIP	13.91%	÷1.033	×0.900	×1.050	×0.992	12.62%
Doubles /BIP	8.70%	÷1.091	×0.810	×1.050	×0.992	6.72%
Triples /BIP	2.61%	÷1.024	×0.810	×1.050	×0.992	2.15%
Home runs /BIP	0.87%	÷0.919	×0.780	—	×0.992	0.73%

Factors used: league row PCL. Park (home-season share, regressed): HR 84, 1B 107, 2B 118, 3B 105, K 99, BB 123 — 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 ×1.050.

Result: wOBA .244 → .192; ISO .129 → .099; BABIP .254 → .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).

2018 AATennessee Smokies · 118 PAwOBA .321 → .278 (−43)K% 16.9% → 21.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.95%	÷0.975	×1.220	—	—	21.22%
BB% (unintentional) /PA	8.47%	÷0.982	×0.680	—	×0.968	5.68%
HBP% /PA	0.85%	—	×0.840	—	×0.968	0.69%
Singles /BIP	31.76%	÷0.990	×0.920	×1.022	×0.968	29.20%
Doubles /BIP	2.35%	÷0.966	×0.910	×1.022	×0.968	2.19%
Triples /BIP	0.00%	÷1.128	×0.880	×1.022	×0.968	0.00%
Home runs /BIP	2.35%	÷0.947	×0.800	—	×0.968	1.92%

Factors used: league row SL. Park (home-season share, regressed): HR 89, 1B 98, 2B 93, 3B 126, K 95, BB 96 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.022.

Result: wOBA .321 → .278; ISO .076 → .065; BABIP .349 → .320. 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 — .