Taylor Davis

Pos3B

B/TR/R

Born1989-11-28

Age (2027)37

No MLB projection yet. Career stats below are historical.

Overview

AAALAST SEASON 2022

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2019	29	AAACHC	241	.235/.339/.328	5	0	55	—	.206/.280/.276
2019	29	MLBCHC	20	.167/.250/.333	1	0	68	0.4
2021	31	AAAPIT	180	.248/.344/.325	2	0	49	—	.210/.267/.257
2022	32	AAAPIT	144	.273/.362/.306	0	0	55	—	.236/.297/.268
2023	33	No MLB games played
2024	34	No MLB games played
2025	35	No MLB games played
2026	36	No MLB games played

Last 3 seasons WAR 0.4

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)
2011	21	ROK	AZL Cubs	—	46	39	12	1	3	0	5	3	1	0	0	308	400	487	887	179	324	7	11	382	80	—	—	—	—	—	—
2012	22	A+	Daytona Cubs	—	181	157	35	8	0	2	21	24	1	3	2	223	318	312	631	89	248	13	12	290	52	—	—	—	—	—	—
2012	22	A	Peoria Chiefs	—	76	65	22	4	2	1	8	8	0	0	0	338	411	508	919	169	356	11	11	390	122	—	—	—	—	—	—
2013	23	AA	Tennessee Smokies	—	19	19	3	2	0	0	0	4	0	0	0	158	158	263	421	105	200	21	0	183	-8	—	—	—	—	—	—
2013	23	A+	Daytona Cubs	—	92	83	18	2	0	2	9	15	0	0	1	217	293	313	607	96	242	16	10	279	38	—	—	—	—	—	—
2014	24	AA	Tennessee Smokies	—	152	138	44	11	1	4	12	14	1	0	0	319	377	500	877	181	331	9	8	385	106	—	—	—	—	—	—
2015	25	AAA	Iowa Cubs	—	282	259	80	19	2	4	21	37	0	0	1	309	361	444	805	135	349	13	7	356	95	—	—	—	—	—	—
2015	25	AA	Tennessee Smokies	—	78	72	23	7	0	5	5	11	0	0	0	319	364	625	989	306	321	14	6	421	110	—	—	—	—	—	—
2016	26	AAA	Iowa Cubs	—	258	223	56	13	1	2	30	28	1	2	0	251	343	345	688	94	278	11	12	311	70	—	—	—	—	—	—
2016	26	AA	Tennessee Smokies	—	63	56	19	3	1	0	4	6	0	0	0	339	383	429	812	89	358	10	6	347	112	—	—	—	—	—	—
2017	27	AAA	Iowa Cubs	—	406	357	106	27	1	6	37	45	1	0	3	297	365	429	793	132	318	11	9	346	86	—	—	—	—	—	—
2018	28	AAA	Iowa Cubs	—	409	356	98	18	0	4	40	57	1	0	2	275	349	360	709	84	315	14	10	315	59	—	—	—	—	—	—
2019	29	MLB	Chicago Cubs	—	20	18	3	0	0	1	2	4	0	0	0	167	250	333	583	167	154	20	10	264	68	-1	+0	-1	+5	+0	0.4
2019	29	AAA	Iowa Cubs	—	241	204	48	4	0	5	31	38	1	0	0	235	339	328	667	93	265	16	13	304	55	—	—	—	—	—	—
2021	31	AAA	Indianapolis Indians	—	180	157	39	6	0	2	22	21	1	0	0	248	344	325	669	76	276	12	12	311	49	—	—	—	—	—	—
2022	32	AAA	Indianapolis Indians	—	144	121	33	4	0	0	16	21	1	0	0	273	362	306	668	33	320	15	11	301	55	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	20	18	3	0	0	1	2	4	0	0	0	167	250	333	583	167	154	20	10	264	65	-1	+0	-1	+5	+0	0.4
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2011	21	ROK MLE	AZL Cubs	—	46	41	10	1	2	0	3	4	1	0	0	244	311	366	677	122	249	9	7	287	80	—	—	—	—	—	—
2012	22	A+ MLE	Daytona Cubs	—	181	162	32	7	0	1	16	32	1	3	2	198	274	259	533	62	232	18	9	245	52	—	—	—	—	—	—
2012	22	A MLE	Peoria Chiefs	—	76	68	21	3	2	1	5	11	0	0	0	309	356	456	812	147	323	14	7	349	122	—	—	—	—	—	—
2013	23	AA MLE	Tennessee Smokies	—	19	19	3	2	0	0	0	5	0	0	0	158	158	263	421	105	189	26	0	156	-8	—	—	—	—	—	—
2013	23	A+ MLE	Daytona Cubs	—	92	86	16	2	0	1	6	20	0	0	1	186	239	244	483	58	225	22	7	225	38	—	—	—	—	—	—
2014	24	AA MLE	Tennessee Smokies	—	152	143	40	9	1	3	7	17	1	0	0	280	318	420	737	140	297	11	5	325	106	—	—	—	—	—	—
2015	25	AAA MLE	Iowa Cubs	—	282	265	74	17	2	3	15	45	0	0	1	279	318	392	710	113	325	16	5	309	95	—	—	—	—	—	—
2015	25	AA MLE	Tennessee Smokies	—	78	73	19	6	0	4	4	14	0	0	0	260	299	507	806	247	273	18	5	331	110	—	—	—	—	—	—
2016	26	AAA MLE	Iowa Cubs	—	258	232	54	12	1	2	21	35	1	2	0	233	299	319	618	86	260	14	8	271	70	—	—	—	—	—	—
2016	26	AA MLE	Tennessee Smokies	—	63	57	18	3	1	0	3	7	0	0	0	316	350	404	754	88	330	11	5	333	112	—	—	—	—	—	—
2017	27	AAA MLE	Iowa Cubs	—	406	367	95	21	1	5	27	54	1	0	3	259	311	362	674	104	276	13	7	296	86	—	—	—	—	—	—
2018	28	AAA MLE	Iowa Cubs	—	409	372	87	14	0	3	25	74	1	0	2	234	284	296	580	62	271	18	6	255	59	—	—	—	—	—	—
2019	29	MLB MLE	Chicago Cubs	—	20	18	3	0	0	1	2	4	0	0	0	167	250	333	583	167	154	20	10	268	68	-1	+0	-1	+5	+0	0.4
2019	29	AAA MLE	Iowa Cubs	—	241	214	44	3	0	4	21	48	1	0	0	206	280	276	555	70	241	20	9	250	55	—	—	—	—	—	—
2021	31	AAA MLE	Indianapolis Indians	—	180	167	35	5	0	1	12	26	1	0	0	210	267	257	524	48	241	14	7	241	49	—	—	—	—	—	—
2022	32	AAA MLE	Indianapolis Indians	—	144	127	30	4	0	0	10	26	1	0	0	236	297	268	565	31	272	18	7	250	55	—	—	—	—	—	—
2011	21	ROK MLE	AZL Cubs	—	46	41	10	1	2	0	3	4	1	0	0	244	311	366	677	122	263	9	7	287	80	—	—	—	—	—	—
2011	21	ROK RAW	AZL Cubs	—	46	39	12	1	3	0	5	3	1	0	0	308	400	487	887	179	324	7	11	382	80	—	—	—	—	—	—
2012	22	A+ MLE	2 teams	—	257	230	53	10	2	2	21	43	1	3	2	230	298	317	615	87	268	17	8	276	73	—	—	—	—	—	—
2012	22	A+ RAW	2 teams	—	257	222	57	12	2	3	29	32	1	3	2	257	345	369	715	113	281	12	11	319	73	—	—	—	—	—	—
2013	23	A+ MLE	2 teams	—	111	105	18	3	0	1	6	25	0	0	1	171	216	229	445	57	215	23	5	213	30	—	—	—	—	—	—
2013	23	A+ RAW	2 teams	—	111	102	21	4	0	2	9	19	0	0	1	206	270	304	574	98	235	17	8	263	30	—	—	—	—	—	—
2014	24	AA MLE	Tennessee Smokies	—	152	143	40	9	1	3	7	17	1	0	0	280	318	420	737	140	298	11	5	325	106	—	—	—	—	—	—
2014	24	AA RAW	Tennessee Smokies	—	152	138	44	11	1	4	12	14	1	0	0	319	377	500	877	181	331	9	8	385	106	—	—	—	—	—	—
2015	25	AAA MLE	2 teams	—	360	338	94	23	2	7	19	59	0	0	1	278	317	420	737	142	320	16	5	314	98	—	—	—	—	—	—
2015	25	AAA RAW	2 teams	—	360	331	103	26	2	9	26	48	0	0	1	311	361	483	845	172	343	13	7	370	98	—	—	—	—	—	—
2016	26	AAA MLE	2 teams	—	321	290	72	15	2	2	23	42	1	2	0	248	306	334	640	86	280	13	7	283	78	—	—	—	—	—	—
2016	26	AAA RAW	2 teams	—	321	279	75	16	2	2	34	34	1	2	0	269	350	362	712	93	296	11	11	318	78	—	—	—	—	—	—
2017	27	AAA MLE	Iowa Cubs	—	406	367	95	21	1	5	27	54	1	0	3	259	311	362	674	104	285	13	7	296	86	—	—	—	—	—	—
2017	27	AAA RAW	Iowa Cubs	—	406	357	106	27	1	6	37	45	1	0	3	297	365	429	793	132	318	11	9	346	86	—	—	—	—	—	—
2018	28	AAA MLE	Iowa Cubs	—	409	372	87	14	0	3	25	74	1	0	2	234	284	296	580	62	282	18	6	255	59	—	—	—	—	—	—
2018	28	AAA RAW	Iowa Cubs	—	409	356	98	18	0	4	40	57	1	0	2	275	349	360	709	84	315	14	10	315	59	—	—	—	—	—	—
2019	29	AAA MLE	2 teams	—	261	232	47	3	0	5	23	52	1	0	0	203	277	280	558	78	239	20	9	251	56	—	—	—	—	—	—
2019	29	AAA RAW	2 teams	—	261	222	51	4	0	6	33	42	1	0	0	230	332	329	661	99	257	16	13	301	56	—	—	—	—	—	—
2021	31	AAA MLE	Indianapolis Indians	—	180	167	35	5	0	1	12	26	1	0	0	210	267	257	524	48	243	14	7	241	49	—	—	—	—	—	—
2021	31	AAA RAW	Indianapolis Indians	—	180	157	39	6	0	2	22	21	1	0	0	248	344	325	669	76	276	12	12	311	49	—	—	—	—	—	—
2022	32	AAA MLE	Indianapolis Indians	—	144	127	30	4	0	0	10	26	1	0	0	236	297	268	565	31	288	18	7	250	55	—	—	—	—	—	—
2022	32	AAA RAW	Indianapolis Indians	—	144	121	33	4	0	0	16	21	1	0	0	273	362	306	668	33	320	15	11	301	55	—	—	—	—	—	—
2011	21	ROK MLE	AZL Cubs	—	46	42	10	1	2	0	3	4	1	0	0	238	311	357	668	119	249	9	7	287	80	—	—	—	—	—	—
2012	22	A+ MLE	2 teams	—	257	233	53	10	2	2	21	43	1	3	2	227	298	313	611	86	259	17	8	276	73	—	—	—	—	—	—
2013	23	A+ MLE	2 teams	—	111	104	18	3	0	1	6	25	0	0	1	173	216	231	447	58	219	23	5	213	30	—	—	—	—	—	—
2014	24	AA MLE	Tennessee Smokies	—	152	143	40	9	1	3	7	17	1	0	0	280	318	420	737	140	297	11	5	325	106	—	—	—	—	—	—
2015	25	AAA MLE	2 teams	—	360	338	94	23	2	7	19	59	0	0	1	278	317	420	737	142	314	16	5	314	98	—	—	—	—	—	—
2016	26	AAA MLE	2 teams	—	321	294	72	15	2	2	23	42	1	2	0	245	306	330	636	85	274	13	7	283	78	—	—	—	—	—	—
2017	27	AAA MLE	Iowa Cubs	—	406	375	95	21	1	5	27	54	1	0	3	253	311	355	666	101	276	13	7	296	86	—	—	—	—	—	—
2018	28	AAA MLE	Iowa Cubs	—	409	380	87	14	0	3	25	74	1	0	2	229	284	289	573	61	271	18	6	255	59	—	—	—	—	—	—
2019	29	AAA MLE	2 teams	—	261	235	47	3	0	5	23	52	1	0	0	200	277	277	554	77	234	20	9	251	56	—	—	—	—	—	—
2021	31	AAA MLE	Indianapolis Indians	—	180	165	35	5	0	1	12	26	1	0	0	212	267	261	527	48	241	14	7	241	49	—	—	—	—	—	—
2022	32	AAA MLE	Indianapolis Indians	—	144	132	30	4	0	0	10	26	1	0	0	227	297	258	555	30	272	18	7	250	55	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	20	18	3	0	0	1	2	4	0	0	0	167	250	333	583	167	154	20	10	264	73	-1	+0	-1	+5	+0	0.4
/ 162G	—	A+C		—	650	585	97	0	0	32	65	130	0	0	0	166	249	330	579	164	154	20	10	264	73	-27	+0	-18	+151	+14	12.3
Career	—	MLE		—	2647	2412	581	108	10	29	176	422	9	5	9	241	295	330	625	89	278	16	7	276	73	-1	+0	-1	+5	+0	0.4
/ 162G	—	MLE		—	650	592	143	27	2	7	43	104	2	1	2	242	295	329	624	88	279	16	7	276	73	-27	+0	-18	+151	+14	12.3

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 AAAIndianapolis Indians · 144 PAwOBA .300 → .250 (−50)K% 14.6% → 17.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.58%	÷0.982	×1.200	—	—	17.83%
BB% (unintentional) /PA	11.11%	÷1.058	×0.690	—	×0.942	6.82%
HBP% /PA	0.69%	—	×0.940	—	×0.942	0.61%
Singles /BIP	29.00%	÷1.087	×0.930	×1.050	×0.942	24.54%
Doubles /BIP	4.00%	÷0.964	×0.830	×1.050	×0.942	3.41%
Triples /BIP	0.00%	÷0.942	×0.970	×1.050	×0.942	0.00%
Home runs /BIP	0.00%	÷1.013	×0.700	—	×0.942	0.00%

Factors used: league row International League. Park (home-season share, regressed): HR 103, 1B 117, 2B 93, 3B 88, K 96, BB 112 — 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 ×1.050.

Result: wOBA .300 → .250; ISO .033 → .030; BABIP .320 → .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).

2021 AAAIndianapolis Indians · 180 PAwOBA .299 → .241 (−59)K% 11.7% → 14.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	11.67%	÷0.961	×1.200	—	—	14.57%
BB% (unintentional) /PA	11.11%	÷1.100	×0.690	—	×0.952	6.64%
HBP% /PA	0.56%	—	×0.940	—	×0.952	0.50%
Singles /BIP	22.79%	÷1.011	×0.930	×1.015	×0.952	20.26%
Doubles /BIP	4.41%	÷0.986	×0.830	×1.015	×0.952	3.59%
Triples /BIP	0.00%	÷0.914	×0.920	×1.015	×0.952	0.00%
Home runs /BIP	1.47%	÷1.096	×0.700	—	×0.952	0.89%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 119, 1B 102, 2B 97, 3B 83, K 92, BB 120 — 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 ×1.015.

Result: wOBA .299 → .241; ISO .076 → .056; BABIP .276 → .241. 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 · 241 PAwOBA .296 → .250 (−46)K% 15.8% → 19.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.77%	÷1.025	×1.290	—	—	19.84%
BB% (unintentional) /PA	12.45%	÷0.968	×0.710	—	×0.972	8.87%
HBP% /PA	0.41%	—	×0.980	—	×0.972	0.40%
Singles /BIP	23.49%	÷0.993	×0.900	×1.050	×0.972	21.74%
Doubles /BIP	2.41%	÷1.014	×0.810	×1.050	×0.972	1.96%
Triples /BIP	0.00%	÷1.029	×0.810	×1.050	×0.972	0.00%
Home runs /BIP	3.01%	÷1.050	×0.780	—	×0.972	2.17%

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 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 ×1.050.

Result: wOBA .296 → .250; ISO .093 → .071; BABIP .265 → .241. 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 · 409 PAwOBA .308 → .255 (−53)K% 13.9% → 18.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.94%	÷0.993	×1.290	—	—	18.11%
BB% (unintentional) /PA	9.54%	÷1.116	×0.710	—	×0.982	5.96%
HBP% /PA	0.24%	—	×0.980	—	×0.982	0.24%
Singles /BIP	25.42%	÷1.033	×0.900	×1.036	×0.982	22.53%
Doubles /BIP	6.02%	÷1.091	×0.810	×1.036	×0.982	4.55%
Triples /BIP	0.00%	÷1.024	×0.810	×1.036	×0.982	0.00%
Home runs /BIP	1.34%	÷0.919	×0.780	—	×0.982	1.12%

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 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 ×1.036.

Result: wOBA .308 → .255; ISO .084 → .069; BABIP .315 → .271. 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 AAAIowa Cubs · 406 PAwOBA .344 → .296 (−48)K% 11.1% → 13.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	11.08%	÷1.083	×1.290	—	—	13.20%
BB% (unintentional) /PA	9.11%	÷0.965	×0.710	—	×0.992	6.65%
HBP% /PA	0.25%	—	×0.980	—	×0.992	0.24%
Singles /BIP	23.08%	÷0.991	×0.900	×1.006	×0.992	20.92%
Doubles /BIP	8.65%	÷1.056	×0.810	×1.006	×0.992	6.62%
Triples /BIP	0.32%	÷1.042	×0.810	×1.006	×0.992	0.25%
Home runs /BIP	1.92%	÷0.899	×0.780	—	×0.992	1.65%

Factors used: league row PCL. Park (home-season share, regressed): HR 80, 1B 98, 2B 111, 3B 108, K 117, BB 93 — 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 .344 → .296; ISO .132 → .110; BABIP .318 → .276. 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 AAAIowa Cubs · 258 PAwOBA .305 → .271 (−34)K% 10.9% → 13.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	10.85%	÷1.037	×1.290	—	—	13.50%
BB% (unintentional) /PA	11.63%	÷1.034	×0.710	—	×1.003	8.01%
HBP% /PA	0.39%	—	×0.980	—	×1.003	0.38%
Singles /BIP	20.51%	÷1.006	×0.900	×1.050	×1.003	19.32%
Doubles /BIP	6.67%	÷0.927	×0.810	×1.050	×1.003	6.13%
Triples /BIP	0.51%	÷0.945	×0.810	×1.050	×1.003	0.46%
Home runs /BIP	1.03%	÷0.890	×0.780	—	×1.003	0.90%

Factors used: league row PCL. Park (home-season share, regressed): HR 78, 1B 101, 2B 85, 3B 89, K 107, BB 107 — 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 ×1.050.

Result: wOBA .305 → .271; ISO .094 → .088; BABIP .278 → .260. 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 AATennessee Smokies · 63 PAwOBA .354 → .333 (−22)K% 9.5% → 11.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	9.52%	÷0.992	×1.220	—	—	11.72%
BB% (unintentional) /PA	6.35%	÷0.982	×0.680	—	×0.978	4.30%
HBP% /PA	0.00%	—	×0.840	—	×0.978	0.00%
Singles /BIP	30.00%	÷1.013	×0.920	×1.015	×0.978	27.04%
Doubles /BIP	6.00%	÷0.918	×0.910	×1.015	×0.978	5.90%
Triples /BIP	2.00%	÷0.900	×0.880	×1.015	×0.978	1.94%
Home runs /BIP	0.00%	÷1.059	×0.800	—	×0.978	0.00%

Factors used: league row SL. Park (home-season share, regressed): HR 112, 1B 103, 2B 84, 3B 80, K 98, BB 96 — 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 ×1.015.

Result: wOBA .354 → .333; ISO .089 → .092; BABIP .358 → .330. 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).

2015 AAAIowa Cubs · 282 PAwOBA .346 → .309 (−38)K% 13.1% → 16.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.12%	÷1.051	×1.290	—	—	16.10%
BB% (unintentional) /PA	7.45%	÷0.996	×0.710	—	×1.018	5.40%
HBP% /PA	0.00%	—	×0.980	—	×1.018	0.00%
Singles /BIP	24.77%	÷1.008	×0.900	×1.050	×1.018	23.65%
Doubles /BIP	8.56%	÷0.984	×0.810	×1.050	×1.018	7.53%
Triples /BIP	0.90%	÷0.948	×0.810	×1.050	×1.018	0.82%
Home runs /BIP	1.80%	÷0.916	×0.780	—	×1.018	1.56%

Factors used: league row PCL. Park (home-season share, regressed): HR 83, 1B 102, 2B 97, 3B 90, K 110, BB 99 — 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 ×1.050.

Result: wOBA .346 → .309; ISO .135 → .118; BABIP .349 → .325. 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).