Kenny Wilson

PosCF

B/TR/R

Born1990-01-30

Age (2027)37

No MLB projection yet. Career stats below are historical.

Overview

AAALAST SEASON 2019

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2017	27	AAA/AA2 orgs	332	.240/.318/.314	3	15	45	—	.204/.267/.274
2018	28	AAA/AA/A+/INTL2 orgs	412	.256/.371/.378	5	26	97	—	.221/.303/.347
2019	29	AAAGenerales de …	161	.275/.360/.507	6	5	48	—	.181/.242/.302

Contract

No contract data on file.

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	GCL Blue Jays	—	192	162	34	6	2	0	20	60	7	25	3	210	323	272	594	62	327	31	10	279	9	—	—	—	—	—	—
2009	19	A	Lansing Lugnuts	—	373	321	68	12	3	4	35	99	11	37	12	212	311	305	616	93	287	27	9	283	36	—	—	—	—	—	—
2009	19	ROK	GCL Blue Jays	—	29	25	5	2	1	0	3	8	1	3	1	200	310	360	670	160	294	28	10	304	18	—	—	—	—	—	—
2010	20	A+	Dunedin Blue Jays	—	68	58	8	1	0	0	8	15	0	5	0	138	242	155	398	17	186	22	12	194	1	—	—	—	—	—	—
2010	20	A	Lansing Lugnuts	—	426	361	78	10	4	0	51	112	8	35	11	216	326	266	592	50	313	26	12	279	36	—	—	—	—	—	—
2011	21	A+	Dunedin Blue Jays	—	188	164	33	8	2	0	16	52	6	17	4	201	296	274	570	73	295	28	9	265	33	—	—	—	—	—	—
2011	21	INTL	Canberra Cavalry	—	204	174	44	10	0	4	17	34	9	12	3	253	350	379	729	126	290	17	8	327	108	—	—	—	—	—	—
2012	22	A+	Dunedin Blue Jays	—	135	117	33	6	0	1	14	22	2	14	4	282	368	359	727	77	340	16	10	330	72	—	—	—	—	—	—
2012	22	A	Lansing Lugnuts	—	421	349	88	13	6	4	44	75	17	41	8	252	363	358	722	106	307	18	10	325	59	—	—	—	—	—	—
2013	23	AA	New Hampshire Fisher Cats	—	242	216	56	14	1	3	19	56	5	16	6	259	333	375	708	116	338	23	8	319	75	—	—	—	—	—	—
2013	23	INTL	Salt River Rafters	—	110	97	25	3	2	2	10	32	1	12	5	258	333	392	725	134	365	29	9	320	103	—	—	—	—	—	—
2014	24	AAA	Sacramento River Cats	—	139	123	24	4	2	0	12	29	2	7	4	195	277	260	538	65	255	21	9	248	34	—	—	—	—	—	—
2014	24	AA	Midland RockHounds	—	359	324	86	14	5	2	19	82	7	24	9	265	320	358	678	93	347	23	5	299	61	—	—	—	—	—	—
2015	25	AA	Jacksonville Suns	—	570	497	134	24	7	8	58	108	4	37	9	270	351	394	745	125	326	19	10	330	78	—	—	—	—	—	—
2016	26	AAA	New Orleans Zephyrs	—	358	310	68	14	0	1	39	75	7	26	8	219	320	274	594	55	284	21	11	280	44	—	—	—	—	—	—
2016	26	AA	Jacksonville Suns	—	133	118	41	6	3	2	15	26	0	4	4	347	421	500	921	153	433	20	11	408	109	—	—	—	—	—	—
2017	27	AAA	Nashville Sounds	—	256	232	55	6	2	1	15	67	7	12	7	237	303	293	596	56	325	26	6	274	38	—	—	—	—	—	—
2017	27	AA	Midland RockHounds	—	76	64	16	1	1	2	10	14	2	3	2	250	368	391	759	141	292	18	13	347	70	—	—	—	—	—	—
2018	28	AAA	Toledo Mud Hens	—	38	34	6	0	0	2	3	11	1	0	0	176	263	353	616	176	190	29	8	279	42	—	—	—	—	—	—
2018	28	AA	Erie SeaWolves	—	130	108	30	4	3	0	18	36	1	10	4	278	386	370	756	93	400	28	14	339	79	—	—	—	—	—	—
2018	28	A+	Lakeland Flying Tigers	—	23	18	6	4	0	1	4	5	1	2	0	333	478	722	1.200	389	417	22	17	506	143	—	—	—	—	—	—
2018	28	INTL	Venados de Mazatlan	—	221	184	46	7	3	2	22	59	13	14	0	250	370	353	723	103	355	27	10	333	112	—	—	—	—	—	—
2019	29	AAA	Generales de Durango	—	161	142	39	11	2	6	17	51	2	5	1	275	360	507	867	232	388	32	11	381	48	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2008	18	ROK MLE	GCL Blue Jays	—	192	169	23	4	1	0	13	86	7	25	3	136	228	172	399	36	252	45	7	182	9	—	—	—	—	—	—
2009	19	A MLE	Lansing Lugnuts	—	373	331	55	9	2	3	25	135	11	37	12	166	248	233	481	66	256	36	7	221	36	—	—	—	—	—	—
2009	19	ROK MLE	GCL Blue Jays	—	29	26	3	1	1	0	2	12	1	3	1	115	207	231	438	115	225	41	7	195	18	—	—	—	—	—	—
2010	20	A+ MLE	Dunedin Blue Jays	—	68	60	8	1	0	0	6	21	0	5	0	133	212	150	362	17	190	31	9	170	1	—	—	—	—	—	—
2010	20	A MLE	Lansing Lugnuts	—	426	377	69	8	4	0	35	152	8	35	11	183	267	225	492	42	294	36	8	222	36	—	—	—	—	—	—
2011	21	A+ MLE	Dunedin Blue Jays	—	188	168	28	7	2	0	12	75	6	17	4	167	247	232	479	65	292	40	6	217	33	—	—	—	—	—	—
2012	22	A+ MLE	Dunedin Blue Jays	—	135	121	29	5	0	1	10	31	2	14	4	240	308	306	614	66	311	23	7	274	72	—	—	—	—	—	—
2012	22	A MLE	Lansing Lugnuts	—	421	364	74	10	5	3	29	108	17	41	8	203	293	283	576	80	263	26	7	255	59	—	—	—	—	—	—
2013	23	AA MLE	New Hampshire Fisher Cats	—	242	221	54	12	1	2	14	70	5	16	6	244	304	335	639	90	341	29	6	279	75	—	—	—	—	—	—
2014	24	AAA MLE	Sacramento River Cats	—	139	126	24	4	2	0	9	38	2	7	4	190	255	254	509	63	253	27	6	219	34	—	—	—	—	—	—
2014	24	AA MLE	Midland RockHounds	—	359	330	80	11	5	2	13	104	7	24	9	242	286	324	610	82	329	29	4	258	61	—	—	—	—	—	—
2015	25	AA MLE	Jacksonville Suns	—	570	517	127	22	7	7	38	137	4	37	9	246	302	356	658	110	307	24	7	284	78	—	—	—	—	—	—
2016	26	AAA MLE	New Orleans Zephyrs	—	358	320	60	12	0	1	29	94	7	26	8	188	270	234	504	47	257	26	8	233	44	—	—	—	—	—	—
2016	26	AA MLE	Jacksonville Suns	—	133	124	37	6	3	1	9	32	0	4	4	298	346	419	765	121	391	24	7	330	109	—	—	—	—	—	—
2017	27	AAA MLE	Nashville Sounds	—	256	237	48	5	2	1	10	86	7	12	7	203	256	253	509	51	300	34	4	225	38	—	—	—	—	—	—
2017	27	AA MLE	Midland RockHounds	—	76	67	14	1	1	2	7	18	2	3	2	209	303	343	646	134	243	24	9	272	70	—	—	—	—	—	—
2018	28	AAA MLE	Toledo Mud Hens	—	38	35	5	0	0	2	2	13	1	0	0	143	211	314	525	171	174	34	5	230	42	—	—	—	—	—	—
2018	28	AA MLE	Erie SeaWolves	—	130	114	27	3	3	0	12	44	1	10	4	237	315	316	631	79	358	34	9	285	79	—	—	—	—	—	—
2018	28	A+ MLE	Lakeland Flying Tigers	—	23	19	5	3	0	1	3	7	1	2	0	263	391	579	970	316	369	30	13	380	143	—	—	—	—	—	—
2019	29	AAA MLE	Generales de Durango	—	161	149	27	7	1	3	10	65	2	5	1	181	242	302	544	121	291	40	6	239	48	—	—	—	—	—	—
2008	18	ROK MLE	GCL Blue Jays	—	192	169	23	4	1	0	13	86	7	25	3	136	228	172	399	36	271	45	7	182	9	—	—	—	—	—	—
2008	18	ROK RAW	GCL Blue Jays	—	192	162	34	6	2	0	20	60	7	25	3	210	323	272	594	62	327	31	10	279	9	—	—	—	—	—	—
2009	19	A MLE	2 teams	—	402	357	59	10	3	3	27	146	12	40	13	165	247	235	483	70	263	36	7	219	34	—	—	—	—	—	—
2009	19	A RAW	2 teams	—	402	346	73	14	4	4	38	107	12	40	13	211	311	309	620	98	287	27	9	284	34	—	—	—	—	—	—
2010	20	A MLE	2 teams	—	494	437	76	8	4	0	41	173	8	40	11	174	257	211	468	37	288	35	8	215	32	—	—	—	—	—	—
2010	20	A RAW	2 teams	—	494	419	86	11	4	0	59	127	8	40	11	205	315	251	565	45	295	26	12	267	32	—	—	—	—	—	—
2011	21	INTL MLE	2 teams	—	392	345	58	15	3	0	26	156	15	29	7	168	256	229	485	61	304	40	7	217	33	—	—	—	—	—	—
2011	21	INTL RAW	2 teams	—	392	338	77	18	2	4	33	86	15	29	7	228	324	328	652	101	292	22	8	298	33	—	—	—	—	—	—
2012	22	A MLE	2 teams	—	556	485	103	15	5	4	39	139	19	55	12	212	297	289	585	76	286	25	7	260	62	—	—	—	—	—	—
2012	22	A RAW	2 teams	—	556	466	121	19	6	5	58	97	19	55	12	260	365	358	723	99	315	17	10	326	62	—	—	—	—	—	—
2013	23	AA MLE	2 teams	—	352	322	77	17	1	3	20	102	6	28	11	239	296	326	622	87	341	29	6	279	75	—	—	—	—	—	—
2013	23	AA RAW	2 teams	—	352	313	81	17	3	5	29	88	6	28	11	259	333	380	714	121	345	25	8	319	75	—	—	—	—	—	—
2014	24	AA MLE	2 teams	—	498	456	102	15	6	2	22	142	9	31	13	224	273	296	569	72	318	29	4	247	53	—	—	—	—	—	—
2014	24	AA RAW	2 teams	—	498	447	110	18	7	2	31	111	9	31	13	246	308	331	639	85	321	22	6	285	53	—	—	—	—	—	—
2015	25	AA MLE	Jacksonville Suns	—	570	517	127	22	7	7	38	137	4	37	9	246	302	356	658	110	317	24	7	284	78	—	—	—	—	—	—
2015	25	AA RAW	Jacksonville Suns	—	570	497	134	24	7	8	58	108	4	37	9	270	351	394	745	125	326	19	10	330	78	—	—	—	—	—	—
2016	26	AAA MLE	2 teams	—	491	444	97	18	3	2	38	126	7	30	12	218	290	286	576	68	299	26	8	259	62	—	—	—	—	—	—
2016	26	AAA RAW	2 teams	—	491	428	109	20	3	3	54	101	7	30	12	255	348	336	684	82	325	21	11	315	62	—	—	—	—	—	—
2017	27	AAA MLE	2 teams	—	332	304	61	5	3	3	17	104	9	15	9	201	264	266	530	66	291	31	5	236	46	—	—	—	—	—	—
2017	27	AAA RAW	2 teams	—	332	296	71	7	3	3	25	81	9	15	9	240	318	314	632	74	318	24	8	291	46	—	—	—	—	—	—
2018	28	INTL MLE	4 teams	—	412	355	80	15	6	5	36	139	16	26	4	225	324	344	668	118	349	34	9	285	79	—	—	—	—	—	—
2018	28	INTL RAW	4 teams	—	412	344	88	15	6	5	47	111	16	26	4	256	371	378	749	122	358	27	11	340	79	—	—	—	—	—	—
2019	29	AAA MLE	Generales de Durango	—	161	149	27	7	1	3	10	65	2	5	1	181	242	302	544	121	296	40	6	239	48	—	—	—	—	—	—
2019	29	AAA RAW	Generales de Durango	—	161	142	39	11	2	6	17	51	2	5	1	275	360	507	867	232	388	32	11	381	48	—	—	—	—	—	—
2008	18	ROK MLE	GCL Blue Jays	—	192	170	23	4	1	0	13	86	7	25	3	135	228	171	398	35	252	45	7	182	9	—	—	—	—	—	—
2009	19	A MLE	2 teams	—	402	360	59	10	3	3	27	146	12	40	13	164	247	233	481	69	254	36	7	219	34	—	—	—	—	—	—
2010	20	A MLE	2 teams	—	494	442	76	8	4	0	41	173	8	40	11	172	257	208	465	36	280	35	8	215	32	—	—	—	—	—	—
2011	21	INTL MLE	2 teams	—	392	348	58	15	3	0	26	156	15	29	7	167	256	227	483	60	292	40	7	217	33	—	—	—	—	—	—
2012	22	A MLE	2 teams	—	556	493	103	15	5	4	39	139	19	55	12	209	297	284	580	75	275	25	7	260	62	—	—	—	—	—	—
2013	23	AA MLE	2 teams	—	352	323	77	17	1	3	20	102	6	28	11	238	296	325	621	87	341	29	6	279	75	—	—	—	—	—	—
2014	24	AA MLE	2 teams	—	498	464	102	15	6	2	22	142	9	31	13	220	273	291	564	71	308	29	4	247	53	—	—	—	—	—	—
2015	25	AA MLE	Jacksonville Suns	—	570	523	127	22	7	7	38	137	4	37	9	243	302	352	654	109	307	24	7	284	78	—	—	—	—	—	—
2016	26	AAA MLE	2 teams	—	491	443	97	18	3	2	38	126	7	30	12	219	290	287	577	68	293	26	8	259	62	—	—	—	—	—	—
2017	27	AAA MLE	2 teams	—	332	303	61	5	3	3	17	104	9	15	9	201	264	267	531	66	287	31	5	236	46	—	—	—	—	—	—
2018	28	INTL MLE	4 teams	—	412	357	80	15	6	5	36	139	16	26	4	224	324	342	666	118	323	34	9	285	79	—	—	—	—	—	—
2019	29	AAA MLE	Generales de Durango	—	161	148	27	7	1	3	10	65	2	5	1	182	242	304	546	122	291	40	6	239	48	—	—	—	—	—	—
▸ Career Totals
Career	—	MLE		—	4852	4340	890	151	43	32	327	1515	114	361	105	205	278	282	560	77	304	31	7	248	54	-266	+30	+0	+17	+105	-11.5
/ 162G	—	MLE		—	650	581	119	20	6	4	44	203	15	48	14	205	278	281	559	76	304	31	7	248	54	-36	+4	+0	+2	+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.

2019 AAAGenerales de Durango · 161 PAwOBA .370 → .239 (−131)K% 31.7% → 40.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	31.68%	÷0.946	×1.200	—	—	40.17%
BB% (unintentional) /PA	10.56%	÷1.118	×0.690	—	×0.982	6.40%
HBP% /PA	1.24%	—	×0.940	—	×0.982	1.15%
Singles /BIP	21.98%	÷1.034	×0.930	×0.950	×0.982	18.43%
Doubles /BIP	12.09%	÷1.163	×0.830	×0.950	×0.982	8.05%
Triples /BIP	2.20%	÷1.150	×0.920	×0.950	×0.982	1.64%
Home runs /BIP	6.59%	÷1.311	×0.700	—	×0.982	3.46%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 162, 1B 107, 2B 133, 3B 130, K 89, BB 124 — 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 ×0.950.

Result: wOBA .370 → .239; ISO .232 → .129; BABIP .388 → .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).

2018 AAErie SeaWolves · 130 PAwOBA .339 → .285 (−54)K% 27.7% → 33.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	27.69%	÷0.999	×1.220	—	—	33.83%
BB% (unintentional) /PA	13.85%	÷1.007	×0.700	—	×0.968	9.32%
HBP% /PA	0.77%	—	×0.850	—	×0.968	0.63%
Singles /BIP	31.94%	÷1.016	×0.970	×0.968	×0.968	28.55%
Doubles /BIP	5.56%	÷0.974	×0.860	×0.968	×0.968	4.59%
Triples /BIP	4.17%	÷0.901	×0.950	×0.968	×0.968	4.12%
Home runs /BIP	0.00%	÷1.112	×0.780	—	×0.968	0.00%

Factors used: league row EL. Park (home-season share, regressed): HR 122, 1B 103, 2B 95, 3B 80, K 100, BB 101 — 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 ×0.968.

Result: wOBA .339 → .285; ISO .093 → .087; BABIP .400 → .358. 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 AAAToledo Mud Hens · 38 PAwOBA .272 → .230 (−41)K% 28.9% → 34.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	28.95%	÷1.011	×1.200	—	—	34.37%
BB% (unintentional) /PA	7.89%	÷0.980	×0.690	—	×0.992	5.51%
HBP% /PA	2.63%	—	×0.940	—	×0.992	2.45%
Singles /BIP	17.39%	÷1.005	×0.930	—	×0.992	15.96%
Doubles /BIP	0.00%	÷1.038	×0.830	—	×0.992	0.00%
Triples /BIP	0.00%	÷1.038	×0.970	—	×0.992	0.00%
Home runs /BIP	8.70%	÷0.893	×0.840	—	×0.992	8.11%

Factors used: league row IL. Park (home-season share, regressed): HR 79, 1B 101, 2B 108, 3B 108, K 102, BB 96 — 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).

Result: wOBA .272 → .230; ISO .176 → .157; BABIP .190 → .174. 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 A+Lakeland Flying Tigers · 23 PAwOBA .493 → .380 (−114)K% 21.7% → 31.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.74%	÷0.987	×1.420	—	—	31.28%
BB% (unintentional) /PA	17.39%	÷1.097	×0.750	—	×0.948	11.28%
HBP% /PA	4.35%	—	×0.930	—	×0.948	3.83%
Singles /BIP	7.69%	÷0.974	×0.920	—	×0.948	6.89%
Doubles /BIP	30.77%	÷0.995	×0.960	—	×0.948	28.14%
Triples /BIP	0.00%	÷1.150	×0.810	—	×0.948	0.00%
Home runs /BIP	7.69%	÷1.277	×0.880	—	×0.948	5.02%

Factors used: league row FSL. Park (home-season share, regressed): HR 155, 1B 95, 2B 99, 3B 130, K 97, BB 119 — applied at half strength. Age: age 28 vs a level average of 22.8 → −5.2% on BB/HBP/hit rates (5.2 yr older than average).

Result: wOBA .493 → .380; ISO .389 → .296; BABIP .417 → .369. 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 AAANashville Sounds · 256 PAwOBA .270 → .225 (−44)K% 26.2% → 33.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	26.17%	÷1.003	×1.290	—	—	33.67%
BB% (unintentional) /PA	5.86%	÷1.029	×0.710	—	×1.003	4.05%
HBP% /PA	2.73%	—	×0.980	—	×1.003	2.69%
Singles /BIP	27.88%	÷0.984	×0.900	×1.023	×1.003	26.16%
Doubles /BIP	3.64%	÷1.021	×0.810	×1.023	×1.003	2.96%
Triples /BIP	1.21%	÷0.900	×0.810	×1.023	×1.003	1.12%
Home runs /BIP	0.61%	÷0.868	×0.780	—	×1.003	0.55%

Factors used: league row PCL. Park (home-season share, regressed): HR 74, 1B 97, 2B 104, 3B 80, K 101, BB 106 — 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 ×1.023.

Result: wOBA .270 → .225; ISO .056 → .045; BABIP .325 → .300. 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 AAMidland RockHounds · 76 PAwOBA .338 → .272 (−66)K% 18.4% → 23.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.42%	÷0.939	×1.220	—	—	23.95%
BB% (unintentional) /PA	13.16%	÷0.990	×0.700	—	×0.978	9.10%
HBP% /PA	2.63%	—	×0.870	—	×0.978	2.24%
Singles /BIP	24.00%	÷1.142	×0.920	×1.041	×0.978	19.68%
Doubles /BIP	2.00%	÷0.987	×0.840	×1.041	×0.978	1.73%
Triples /BIP	2.00%	÷0.977	×0.940	×1.041	×0.978	1.96%
Home runs /BIP	4.00%	÷0.862	×0.800	—	×0.978	3.63%

Factors used: league row TL. Park (home-season share, regressed): HR 72, 1B 128, 2B 97, 3B 95, K 88, BB 98 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.041.

Result: wOBA .338 → .272; ISO .141 → .127; BABIP .292 → .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).

2016 AAANew Orleans Zephyrs · 358 PAwOBA .274 → .233 (−41)K% 20.9% → 26.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.95%	÷1.027	×1.290	—	—	26.31%
BB% (unintentional) /PA	10.61%	÷0.964	×0.710	—	×1.018	7.96%
HBP% /PA	1.96%	—	×0.980	—	×1.018	1.95%
Singles /BIP	22.55%	÷1.041	×0.900	×1.029	×1.018	20.42%
Doubles /BIP	5.96%	÷0.929	×0.810	×1.029	×1.018	5.44%
Triples /BIP	0.00%	÷1.057	×0.810	×1.029	×1.018	0.00%
Home runs /BIP	0.43%	÷0.919	×0.780	—	×1.018	0.37%

Factors used: league row PCL. Park (home-season share, regressed): HR 84, 1B 108, 2B 86, 3B 111, K 105, BB 93 — 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 ×1.029.

Result: wOBA .274 → .233; ISO .055 → .048; BABIP .284 → .257. 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 AAJacksonville Suns · 133 PAwOBA .396 → .330 (−66)K% 19.5% → 24.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.55%	÷0.986	×1.220	—	—	24.20%
BB% (unintentional) /PA	10.53%	÷1.029	×0.680	—	×0.988	6.87%
HBP% /PA	0.00%	—	×0.840	—	×0.988	0.00%
Singles /BIP	32.61%	÷0.993	×0.920	×0.997	×0.988	29.78%
Doubles /BIP	6.52%	÷0.957	×0.910	×0.997	×0.988	6.11%
Triples /BIP	3.26%	÷1.013	×0.880	×0.997	×0.988	2.79%
Home runs /BIP	2.17%	÷1.423	×0.800	—	×0.988	1.21%

Factors used: league row SL. Park (home-season share, regressed): HR 185, 1B 99, 2B 91, 3B 103, K 97, BB 106 — applied at half strength. Age: age 26 vs a level average of 24.8 → −1.2% on BB/HBP/hit rates (1.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.997.

Result: wOBA .396 → .330; ISO .153 → .119; BABIP .433 → .391. 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 — .