Austin Meadows

PosLF

B/TL/L

Born1995-05-03

Age (2027)32

No MLB projection yet. Career stats below are historical.

Overview

MLBLAST SEASON 2023

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2021	26	MLBTB	591	.234/.319/.458	27	4	114	1.2
2022	27	AAADET	39	.147/.237/.235	1	0	6	—	.143/.211/.229
2022	27	MLBDET	147	.250/.347/.328	0	0	100	-0.3
2023	28	MLBDET	21	.238/.238/.286	0	0	47	-0.1
2024	29	No MLB games played
2025	30	No MLB games played
2026	31	No MLB games played

Last 3 seasons WAR 0.8

Contract

No contract data on file.

Skills · percentileStatcast 2021-2023

xwOBA70

Barrel%49

Avg EV49

Speed20

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)
2013	18	ROK	GCL Pirates	—	189	160	47	11	5	5	24	42	4	3	2	294	399	519	918	225	372	22	13	401	74	—	—	—	—	—	—
2014	19	A	West Virginia Power	—	167	146	47	13	1	3	14	30	3	2	3	322	388	486	874	164	383	18	8	381	112	—	—	—	—	—	—
2014	19	ROK	Bristol Pirates	—	24	18	5	2	1	0	5	3	0	0	0	278	417	500	917	222	333	12	21	395	89	—	—	—	—	—	—
2015	20	AA	Altoona Curve	—	28	25	9	2	3	0	2	5	1	1	0	360	429	680	1.109	320	450	18	7	470	164	—	—	—	—	—	—
2015	20	A+	Bradenton Marauders	—	556	508	156	22	4	7	41	79	0	20	7	307	359	407	766	100	351	14	7	340	89	—	—	—	—	—	—
2015	20	INTL	Glendale Desert Dogs	—	67	65	11	2	2	1	2	12	0	3	0	169	194	308	502	138	192	18	3	219	35	—	—	—	—	—	—
2016	21	AAA	Indianapolis Indians	—	145	126	27	7	3	6	15	34	1	8	2	214	303	460	763	246	236	23	10	327	84	—	—	—	—	—	—
2016	21	AA	Altoona Curve	—	190	167	52	16	8	6	16	32	1	9	3	311	375	611	986	299	343	17	8	409	130	—	—	—	—	—	—
2017	22	AAA	Indianapolis Indians	—	312	284	71	19	0	4	24	50	2	11	3	250	313	359	672	109	289	16	8	302	69	—	—	—	—	—	—
2018	23	MLB	Tampa Bay Rays	—	191	178	51	9	2	6	10	40	1	5	1	287	328	461	789	174	336	21	5	344	114	+3	+1	-3	-5	+4	0.0
2018	23	AAA	Durham Bulls	—	285	261	79	24	0	12	17	37	2	12	2	303	350	533	883	230	313	13	6	379	101	—	—	—	—	—	—
2019	24	MLB	Tampa Bay Rays	—	591	530	154	29	7	33	54	131	7	12	7	291	364	558	922	268	331	22	9	401	153	+38	-0	-3	-6	+13	4.2
2020	25	MLB	Tampa Bay Rays	—	152	132	27	8	1	4	17	50	1	2	1	205	300	371	671	167	287	33	11	299	89	-2	+0	+0	-2	+3	-0.0
2021	26	MLB	Tampa Bay Rays	—	591	518	121	29	3	27	59	122	6	4	3	234	319	458	777	224	249	21	10	338	114	+10	-0	-4	-6	+13	1.2
2022	27	MLB	Detroit Tigers	—	147	128	32	6	2	0	16	17	3	0	1	250	347	328	675	78	288	12	11	313	100	+0	-0	-4	-2	+3	-0.3
2022	27	AAA	Toledo Mud Hens	—	39	34	5	0	0	1	4	7	0	0	0	147	237	235	472	88	148	18	10	218	6	—	—	—	—	—	—
2023	28	MLB	Detroit Tigers	—	21	21	5	1	0	0	0	3	0	0	0	238	238	286	524	48	278	14	0	234	47	-1	+0	+0	-0	+0	-0.1
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	1693	1507	390	82	15	70	156	363	18	23	13	259	336	472	808	214	295	21	9	354	126	+52	-1	-13	-22	+37	5.4
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2013	18	ROK MLE	GCL Pirates	—	189	169	35	8	3	4	15	60	4	3	2	207	287	361	648	154	292	32	8	278	74	—	—	—	—	—	—
2014	19	A MLE	West Virginia Power	—	167	153	45	11	1	3	9	38	3	2	3	294	345	438	783	144	360	23	5	334	112	—	—	—	—	—	—
2014	19	ROK MLE	Bristol Pirates	—	24	21	5	2	1	0	3	4	0	0	0	238	333	429	762	190	262	17	12	300	89	—	—	—	—	—	—
2015	20	AA MLE	Altoona Curve	—	28	26	9	2	3	0	1	6	1	1	0	346	393	654	1.047	308	429	21	4	410	164	—	—	—	—	—	—
2015	20	A+ MLE	Bradenton Marauders	—	556	520	145	19	4	6	29	110	0	20	7	279	317	365	682	87	337	20	5	300	89	—	—	—	—	—	—
2016	21	AAA MLE	Indianapolis Indians	—	145	131	26	6	3	6	10	40	1	8	2	198	261	427	688	229	220	28	7	292	84	—	—	—	—	—	—
2016	21	AA MLE	Altoona Curve	—	190	172	48	14	7	5	11	40	1	9	3	279	326	529	855	250	313	21	6	361	130	—	—	—	—	—	—
2017	22	AAA MLE	Indianapolis Indians	—	312	291	67	15	0	4	17	58	2	11	3	230	277	323	600	93	274	19	5	270	69	—	—	—	—	—	—
2018	23	MLB MLE	Tampa Bay Rays	—	191	180	50	9	2	6	8	40	1	5	1	278	312	450	762	172	336	21	4	336	114	+3	+1	-3	-5	+4	0.0
2018	23	AAA MLE	Durham Bulls	—	285	265	69	19	0	11	13	43	2	12	2	260	300	457	757	196	263	15	5	317	101	—	—	—	—	—	—
2019	24	MLB MLE	Tampa Bay Rays	—	591	536	154	30	7	34	48	131	7	12	7	287	354	560	913	272	331	22	8	395	153	+38	-0	-3	-6	+13	4.2
2020	25	MLB MLE	Tampa Bay Rays	—	152	132	27	8	1	4	17	50	1	2	1	205	300	371	671	167	287	33	11	300	89	-2	+0	+0	-2	+3	-0.0
2021	26	MLB MLE	Tampa Bay Rays	—	591	521	122	30	3	28	56	122	6	4	3	234	316	464	780	230	249	21	9	337	114	+10	-0	-4	-6	+13	1.2
2022	27	MLB MLE	Detroit Tigers	—	147	128	32	6	2	0	16	17	3	0	1	250	347	328	675	78	288	12	11	316	100	+0	-0	-4	-2	+3	-0.3
2022	27	AAA MLE	Toledo Mud Hens	—	39	35	5	0	0	1	3	8	0	0	0	143	211	229	439	86	135	21	8	177	6	—	—	—	—	—	—
2023	28	MLB MLE	Detroit Tigers	—	21	21	5	1	0	0	0	3	0	0	0	238	238	286	524	48	278	14	0	237	47	-1	+0	+0	-0	+0	-0.1
2013	18	ROK MLE	GCL Pirates	—	189	169	35	8	3	4	15	60	4	3	2	207	287	361	648	154	295	32	8	278	74	—	—	—	—	—	—
2013	18	ROK RAW	GCL Pirates	—	189	160	47	11	5	5	24	42	4	3	2	294	399	519	918	225	372	22	13	401	74	—	—	—	—	—	—
2014	19	A MLE	2 teams	—	191	173	50	13	2	3	13	43	3	2	3	289	349	439	789	150	364	23	7	330	109	—	—	—	—	—	—
2014	19	A RAW	2 teams	—	191	164	52	15	2	3	19	33	3	2	3	317	392	488	879	171	377	17	10	383	109	—	—	—	—	—	—
2015	20	A+ MLE	3 teams	—	651	609	171	23	7	7	34	129	1	24	7	281	320	376	696	95	345	20	5	305	93	—	—	—	—	—	—
2015	20	A+ RAW	3 teams	—	651	598	176	26	9	8	45	96	1	24	7	294	345	408	753	114	338	15	7	333	93	—	—	—	—	—	—
2016	21	AA MLE	2 teams	—	335	302	75	20	11	11	22	80	2	17	5	248	304	497	800	248	292	24	7	331	110	—	—	—	—	—	—
2016	21	AA RAW	2 teams	—	335	293	79	23	11	12	31	66	2	17	5	270	344	546	890	276	300	20	9	374	110	—	—	—	—	—	—
2017	22	AAA MLE	Indianapolis Indians	—	312	291	67	15	0	4	17	58	2	11	3	230	277	323	600	93	273	19	5	270	69	—	—	—	—	—	—
2017	22	AAA RAW	Indianapolis Indians	—	312	284	71	19	0	4	24	50	2	11	3	250	313	359	672	109	289	16	8	302	69	—	—	—	—	—	—
2018	23	AAA MLE	2 teams	—	476	445	119	28	2	17	21	83	3	17	3	267	305	454	759	187	292	17	4	325	106	—	—	—	—	—	—
2018	23	AAA RAW	2 teams	—	476	439	130	33	2	18	27	77	3	17	3	296	341	503	845	207	322	16	6	365	106	—	—	—	—	—	—
2019	24	MLB MLE	Tampa Bay Rays	—	591	536	154	30	7	34	48	131	7	12	7	287	354	560	913	272	323	22	8	395	153	+38	-0	-3	-6	+13	4.2
2019	24	MLB RAW	Tampa Bay Rays	—	591	530	154	29	7	33	54	131	7	12	7	291	364	558	922	268	331	22	9	401	153	+38	-0	-3	-6	+13	4.2
2020	25	MLB MLE	Tampa Bay Rays	—	152	132	27	8	1	4	17	50	1	2	1	205	300	371	671	167	287	33	11	300	89	-2	+0	+0	-2	+3	-0.0
2020	25	MLB RAW	Tampa Bay Rays	—	152	132	27	8	1	4	17	50	1	2	1	205	300	371	671	167	287	33	11	299	89	-2	+0	+0	-2	+3	-0.0
2021	26	MLB MLE	Tampa Bay Rays	—	591	521	122	30	3	28	56	122	6	4	3	234	316	464	780	230	248	21	9	337	114	+10	-0	-4	-6	+13	1.2
2021	26	MLB RAW	Tampa Bay Rays	—	591	518	121	29	3	27	59	122	6	4	3	234	319	458	777	224	249	21	10	338	114	+10	-0	-4	-6	+13	1.2
2022	27	MLB MLE	2 teams	—	186	163	37	6	2	1	19	25	3	0	1	227	319	307	626	80	261	13	10	287	81	-4	-0	-4	-2	+4	-0.7
2022	27	MLB RAW	2 teams	—	186	162	37	6	2	1	20	24	3	0	1	228	324	309	633	80	261	13	11	293	81	-4	-0	-4	-2	+4	-0.7
2023	28	MLB MLE	Detroit Tigers	—	21	21	5	1	0	0	0	3	0	0	0	238	238	286	524	48	278	14	0	237	47	-1	+0	+0	-0	+0	-0.1
2023	28	MLB RAW	Detroit Tigers	—	21	21	5	1	0	0	0	3	0	0	0	238	238	286	524	48	278	14	0	234	47	-1	+0	+0	-0	+0	-0.1
2013	18	ROK MLE	GCL Pirates	—	189	168	35	8	3	4	15	60	4	3	2	208	287	363	650	155	292	32	8	278	74	—	—	—	—	—	—
2014	19	A MLE	2 teams	—	191	173	50	13	2	3	13	43	3	2	3	289	349	439	789	150	348	23	7	330	109	—	—	—	—	—	—
2015	20	A+ MLE	3 teams	—	651	611	171	23	7	7	34	129	1	24	7	280	320	375	695	95	341	20	5	305	93	—	—	—	—	—	—
2016	21	AA MLE	2 teams	—	335	308	75	20	11	11	22	80	2	17	5	244	304	487	791	244	273	24	7	331	110	—	—	—	—	—	—
2017	22	AAA MLE	Indianapolis Indians	—	312	290	67	15	0	4	17	58	2	11	3	231	277	324	602	93	274	19	5	270	69	—	—	—	—	—	—
2018	23	AAA MLE	2 teams	—	476	449	119	28	2	17	21	83	3	17	3	265	305	450	755	185	292	17	4	325	106	—	—	—	—	—	—
2019	24	MLB MLE	Tampa Bay Rays	—	591	531	154	30	7	34	48	131	7	12	7	290	354	565	919	275	331	22	8	395	153	—	—	—	—	—	—
2020	25	MLB MLE	Tampa Bay Rays	—	152	133	27	8	1	4	17	50	1	2	1	203	300	368	668	165	287	33	11	300	89	—	—	—	—	—	—
2021	26	MLB MLE	Tampa Bay Rays	—	591	524	122	30	3	28	56	122	6	4	3	233	316	462	777	229	249	21	9	337	114	—	—	—	—	—	—
2022	27	MLB MLE	2 teams	—	186	162	37	6	2	1	19	25	3	0	1	228	319	309	628	80	256	13	10	287	81	—	—	—	—	—	—
2023	28	MLB MLE	Detroit Tigers	—	21	21	5	1	0	0	0	3	0	0	0	238	238	286	524	48	278	14	0	237	47	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1693	1507	390	82	15	70	156	363	18	23	13	259	336	472	808	214	295	21	9	354	106	+52	-1	-13	-22	+37	5.4
/ 162G	—	A+C		—	650	579	150	31	6	27	60	139	7	9	5	259	336	473	810	214	294	21	9	354	106	+20	-0	-5	-8	+14	2.1
Career	—	MLE		—	3695	3362	862	182	38	113	262	784	32	92	35	256	316	434	750	178	300	21	7	325	106	+52	-1	-13	-22	+37	5.4
/ 162G	—	MLE		—	650	591	152	32	7	20	46	138	6	16	6	257	317	437	754	179	301	21	7	325	106	+20	-0	-5	-8	+14	2.1

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.

2022 AAAToledo Mud Hens · 39 PAwOBA .218 → .177 (−41)K% 17.9% → 21.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.95%	÷1.008	×1.200	—	—	21.37%
BB% (unintentional) /PA	10.26%	÷0.964	×0.690	—	×1.003	7.37%
HBP% /PA	0.00%	—	×0.940	—	×1.003	0.00%
Singles /BIP	14.81%	÷1.015	×0.930	—	×1.003	13.61%
Doubles /BIP	0.00%	÷1.015	×0.830	—	×1.003	0.00%
Triples /BIP	0.00%	÷1.150	×0.970	—	×1.003	0.00%
Home runs /BIP	3.70%	÷1.026	×0.700	—	×1.003	2.53%

Factors used: league row International League. Park (home-season share, regressed): HR 105, 1B 103, 2B 103, 3B 130, K 102, BB 93 — 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).

Result: wOBA .218 → .177; ISO .088 → .062; BABIP .148 → .135. 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 AAADurham Bulls · 285 PAwOBA .371 → .317 (−54)K% 13.0% → 15.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.98%	÷1.032	×1.200	—	—	15.09%
BB% (unintentional) /PA	5.96%	÷0.986	×0.690	—	×1.050	4.38%
HBP% /PA	0.70%	—	×0.940	—	×1.050	0.69%
Singles /BIP	19.20%	÷1.052	×0.930	×0.958	×1.050	17.08%
Doubles /BIP	10.71%	÷1.091	×0.830	×0.958	×1.050	8.20%
Triples /BIP	0.00%	÷0.993	×0.970	×0.958	×1.050	0.00%
Home runs /BIP	5.36%	÷0.970	×0.840	—	×1.050	4.87%

Factors used: league row IL. Park (home-season share, regressed): HR 94, 1B 110, 2B 118, 3B 99, K 106, BB 97 — applied at half strength. Age: age 23 vs a level average of 27.2 → +5.0% on BB/HBP/hit rates (4.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.958.

Result: wOBA .371 → .317; ISO .230 → .199; BABIP .313 → .263. 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 AAAIndianapolis Indians · 312 PAwOBA .294 → .270 (−24)K% 16.0% → 18.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.03%	÷1.030	×1.200	—	—	18.67%
BB% (unintentional) /PA	7.05%	÷0.952	×0.690	—	×1.050	5.36%
HBP% /PA	0.64%	—	×0.940	—	×1.050	0.63%
Singles /BIP	20.51%	÷0.950	×0.930	×0.974	×1.050	20.54%
Doubles /BIP	8.12%	÷1.046	×0.830	×0.974	×1.050	6.59%
Triples /BIP	0.00%	÷1.150	×0.970	×0.974	×1.050	0.00%
Home runs /BIP	1.71%	÷0.850	×0.840	—	×1.050	1.77%

Factors used: league row IL. Park (home-season share, regressed): HR 70, 1B 90, 2B 109, 3B 130, K 106, BB 90 — applied at half strength. Age: age 22 vs a level average of 27.2 → +5.0% on BB/HBP/hit rates (5.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.974.

Result: wOBA .294 → .270; ISO .109 → .099; BABIP .289 → .274. 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 AAAltoona Curve · 190 PAwOBA .407 → .361 (−47)K% 16.8% → 21.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.84%	÷0.975	×1.220	—	—	21.07%
BB% (unintentional) /PA	7.89%	÷0.988	×0.700	—	×1.050	5.87%
HBP% /PA	0.53%	—	×0.850	—	×1.050	0.47%
Singles /BIP	16.30%	÷1.050	×0.970	×1.009	×1.050	15.96%
Doubles /BIP	11.85%	÷1.059	×0.860	×1.009	×1.050	10.20%
Triples /BIP	5.93%	÷1.150	×0.950	×1.009	×1.050	5.19%
Home runs /BIP	4.44%	÷1.016	×0.780	—	×1.050	3.58%

Factors used: league row EL. Park (home-season share, regressed): HR 103, 1B 110, 2B 112, 3B 130, K 95, BB 98 — applied at half strength. Age: age 21 vs a level average of 24.8 → +5.0% on BB/HBP/hit rates (3.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.009.

Result: wOBA .407 → .361; ISO .299 → .259; BABIP .343 → .313. 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 AAAIndianapolis Indians · 145 PAwOBA .325 → .292 (−33)K% 23.4% → 27.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.45%	÷1.015	×1.200	—	—	27.73%
BB% (unintentional) /PA	10.34%	÷1.054	×0.690	—	×1.050	7.11%
HBP% /PA	0.69%	—	×0.940	—	×1.050	0.68%
Singles /BIP	11.96%	÷0.998	×0.930	×0.973	×1.050	11.39%
Doubles /BIP	7.61%	÷1.010	×0.830	×0.973	×1.050	6.39%
Triples /BIP	3.26%	÷0.900	×0.970	×0.973	×1.050	3.59%
Home runs /BIP	6.52%	÷0.933	×0.840	—	×1.050	6.17%

Factors used: league row IL. Park (home-season share, regressed): HR 87, 1B 100, 2B 102, 3B 80, K 103, BB 111 — applied at half strength. Age: age 21 vs a level average of 27.2 → +5.0% on BB/HBP/hit rates (6.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.973.

Result: wOBA .325 → .292; ISO .246 → .238; BABIP .236 → .220. 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 A+Bradenton Marauders · 556 PAwOBA .332 → .300 (−33)K% 14.2% → 19.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.21%	÷1.027	×1.420	—	—	19.65%
BB% (unintentional) /PA	7.19%	÷1.051	×0.750	—	×1.042	5.35%
HBP% /PA	0.00%	—	×0.930	—	×1.042	0.00%
Singles /BIP	28.67%	÷0.981	×0.920	×0.997	×1.042	27.93%
Doubles /BIP	5.13%	÷1.117	×0.960	×0.997	×1.042	4.58%
Triples /BIP	0.93%	÷0.900	×0.810	×0.997	×1.042	0.87%
Home runs /BIP	1.63%	÷0.974	×0.880	—	×1.042	1.54%

Factors used: league row FSL. Park (home-season share, regressed): HR 95, 1B 96, 2B 123, 3B 80, K 105, BB 110 — applied at half strength. Age: age 20 vs a level average of 22.8 → +4.2% on BB/HBP/hit rates (2.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.997.

Result: wOBA .332 → .300; ISO .100 → .090; BABIP .351 → .337. 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 AAAltoona Curve · 28 PAwOBA .458 → .410 (−48)K% 17.9% → 21.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.86%	÷1.005	×1.220	—	—	21.67%
BB% (unintentional) /PA	7.14%	÷1.004	×0.700	—	×1.050	5.23%
HBP% /PA	3.57%	—	×0.850	—	×1.050	3.19%
Singles /BIP	20.00%	÷0.997	×0.970	—	×1.050	20.44%
Doubles /BIP	10.00%	÷0.953	×0.860	—	×1.050	9.48%
Triples /BIP	15.00%	÷1.150	×0.950	—	×1.050	13.01%
Home runs /BIP	0.00%	÷0.912	×0.780	—	×1.050	0.00%

Factors used: league row EL. Park (home-season share, regressed): HR 82, 1B 99, 2B 91, 3B 130, K 101, BB 101 — applied at half strength. Age: age 20 vs a level average of 24.8 → +5.0% on BB/HBP/hit rates (4.8 yr younger than average).

Result: wOBA .458 → .410; ISO .320 → .278; BABIP .450 → .429. 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).

2014 AWest Virginia Power · 167 PAwOBA .376 → .334 (−41)K% 18.0% → 23.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.96%	÷1.047	×1.340	—	—	22.99%
BB% (unintentional) /PA	8.38%	÷1.032	×0.660	—	×1.045	5.60%
HBP% /PA	1.80%	—	×0.770	—	×1.045	1.45%
Singles /BIP	25.86%	÷1.002	×0.920	×1.033	×1.045	25.64%
Doubles /BIP	11.21%	÷1.057	×0.820	×1.033	×1.045	9.38%
Triples /BIP	0.86%	÷1.150	×0.940	×1.033	×1.045	0.76%
Home runs /BIP	2.59%	÷0.935	×0.820	—	×1.045	2.37%

Factors used: league row SAL. Park (home-season share, regressed): HR 87, 1B 100, 2B 111, 3B 130, K 109, BB 106 — applied at half strength. Age: age 19 vs a level average of 22.0 → +4.5% on BB/HBP/hit rates (3.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.033.

Result: wOBA .376 → .334; ISO .164 → .144; BABIP .383 → .360. 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 — .