Brad Miller

PosSS

B/TL/R

Born1989-10-18

Age (2027)37

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	31	MLBPHI	377	.227/.321/.453	20	3	110	0.1
2022	32	MLBTEX	241	.212/.271/.320	7	4	63	-1.3
2023	33	AAA/AATEX	66	.204/.338/.389	3	0	45	—	.156/.247/.275
2023	33	MLBTEX	67	.214/.333/.339	1	0	92	-0.2
2024	34	No MLB games played
2025	35	No MLB games played
2026	36	No MLB games played

Last 3 seasons WAR -1.4

Contract

No contract data on file.

Skills · percentileStatcast 2021-2023

Avg EV85

Barrel%63

xwOBA55

Bat Spd51

Speed17

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	A	Clinton LumberKings	—	59	53	22	4	1	0	4	9	1	1	0	415	466	528	994	113	489	15	7	435	132	—	—	—	—	—	—
2012	22	AA	Jackson Generals	—	170	147	47	7	2	4	22	26	0	4	1	320	408	476	884	156	364	15	13	392	120	—	—	—	—	—	—
2012	22	A+	High Desert Mavericks	—	473	410	139	33	5	11	52	79	2	19	6	339	416	524	940	185	394	17	11	407	97	—	—	—	—	—	—
2013	23	MLB	Seattle Mariners	—	335	306	81	11	6	8	24	52	1	5	3	265	320	418	739	154	294	16	7	324	108	+3	-0	+4	+7	+7	2.2
2013	23	AAA	Tacoma Rainiers	—	122	104	37	5	1	6	15	18	0	2	1	356	437	596	1.033	240	373	15	12	439	155	—	—	—	—	—	—
2013	23	AA	Jackson Generals	—	175	153	45	7	1	6	20	30	1	4	3	294	379	471	850	176	333	17	11	376	93	—	—	—	—	—	—
2014	24	MLB	Seattle Mariners	—	411	367	81	15	4	10	34	95	2	4	2	221	289	365	654	144	268	23	8	289	81	-9	+0	+2	+4	+9	0.6
2015	25	MLB	Seattle Mariners	—	497	438	113	22	4	11	47	101	2	13	4	258	333	402	734	144	307	20	9	323	107	+4	+1	-6	+5	+11	1.6
2016	26	MLB	Tampa Bay Rays	—	601	548	133	29	6	30	47	149	3	6	4	243	306	482	788	239	277	25	8	343	119	+14	-0	-15	+6	+13	1.8
2017	27	MLB	Tampa Bay Rays	—	407	338	68	13	3	9	63	110	2	5	3	201	330	337	667	136	265	27	15	306	89	-6	-0	-4	+1	+9	0.1
2018	28	MLB	Milwaukee Brewers	—	254	230	57	13	2	7	22	82	0	0	0	248	313	413	727	165	350	32	9	321	103	+1	+0	-5	-5	+6	-0.4
2018	28	AAA	Colorado Springs Sky Sox	—	31	27	5	0	0	1	3	9	0	1	0	185	267	296	563	111	222	29	10	251	10	—	—	—	—	—	—
2019	29	MLB	Philadelphia Phillies	—	170	154	40	6	1	13	15	45	1	2	0	260	329	565	894	305	281	26	9	386	141	+8	+0	-0	+1	+4	1.4
2019	29	AAA	Scranton/Wilkes-Barre RailRiders	—	163	136	40	9	1	10	24	40	1	1	3	294	404	596	999	301	341	25	15	427	107	—	—	—	—	—	—
2020	30	MLB	St. Louis Cardinals	—	171	142	33	8	1	7	25	46	3	1	0	232	359	451	810	218	289	27	15	360	131	+6	+0	-1	+1	+4	1.0
2021	31	MLB	Philadelphia Phillies	—	377	331	75	9	3	20	45	112	1	3	0	227	321	453	774	227	276	30	12	342	110	+5	+1	-6	-7	+8	0.1
2022	32	MLB	Texas Rangers	—	241	222	47	3	0	7	18	70	0	4	2	212	271	320	591	108	274	29	7	267	63	-10	+0	-5	-3	+5	-1.3
2023	33	MLB	Texas Rangers	—	67	56	12	4	0	1	10	11	0	0	0	214	333	339	673	125	244	16	15	306	92	-1	+0	-0	-2	+1	-0.2
2023	33	AAA	Round Rock Express	—	30	27	6	1	0	2	2	11	1	0	0	222	300	481	781	259	286	37	7	343	36	—	—	—	—	—	—
2023	33	AA	Frisco RoughRiders	—	36	27	5	0	0	1	8	9	0	0	0	185	371	296	668	111	222	25	22	313	53	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	3531	3132	740	133	30	123	350	873	15	43	18	236	316	416	732	179	286	25	10	323	105	+20	+1	-36	+9	+77	7.3
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2011	21	A MLE	Clinton LumberKings	—	59	54	19	3	1	0	3	12	1	1	0	352	397	444	841	93	427	20	5	364	132	—	—	—	—	—	—
2012	22	AA MLE	Jackson Generals	—	170	154	47	6	2	3	15	33	0	4	1	305	367	429	795	123	359	19	9	346	120	—	—	—	—	—	—
2012	22	A+ MLE	High Desert Mavericks	—	473	427	114	23	3	8	35	111	2	19	6	267	325	391	717	124	330	23	7	312	97	—	—	—	—	—	—
2013	23	MLB MLE	Seattle Mariners	—	335	306	81	11	6	8	24	52	1	5	3	265	320	418	739	154	294	16	7	328	108	+3	-0	+4	+7	+7	2.2
2013	23	AAA MLE	Tacoma Rainiers	—	122	108	36	5	1	5	11	23	0	2	1	333	395	537	932	204	354	19	9	398	155	—	—	—	—	—	—
2013	23	AA MLE	Jackson Generals	—	175	161	41	6	1	5	12	37	1	4	3	255	310	398	708	143	300	21	7	306	93	—	—	—	—	—	—
2014	24	MLB MLE	Seattle Mariners	—	411	371	81	15	4	10	32	95	2	4	2	218	284	361	645	143	268	23	8	289	81	-9	+0	+2	+4	+9	0.6
2015	25	MLB MLE	Seattle Mariners	—	497	438	113	22	4	11	47	101	2	13	4	258	333	402	734	144	307	20	9	326	107	+4	+1	-6	+5	+11	1.6
2016	26	MLB MLE	Tampa Bay Rays	—	601	548	134	30	6	31	47	149	3	6	4	245	308	491	799	246	277	25	8	344	119	+14	-0	-15	+6	+13	1.8
2017	27	MLB MLE	Tampa Bay Rays	—	407	342	67	13	3	9	59	110	2	5	3	196	318	330	648	135	265	27	14	299	89	-6	-0	-4	+1	+9	0.1
2018	28	MLB MLE	Milwaukee Brewers	—	254	231	58	14	2	7	21	82	0	0	0	251	313	420	733	169	350	32	8	321	103	+1	+0	-5	-5	+6	-0.4
2018	28	AAA MLE	Colorado Springs Sky Sox	—	31	28	4	0	0	1	2	13	0	1	0	143	200	250	450	107	189	42	6	183	10	—	—	—	—	—	—
2019	29	MLB MLE	Philadelphia Phillies	—	170	154	39	6	1	12	15	45	1	2	0	253	324	539	862	286	281	26	9	376	141	+8	+0	-0	+1	+4	1.4
2019	29	AAA MLE	Scranton/Wilkes-Barre RailRiders	—	163	145	34	7	1	8	15	48	1	1	3	234	311	462	773	228	273	29	9	326	107	—	—	—	—	—	—
2020	30	MLB MLE	St. Louis Cardinals	—	171	143	34	8	1	8	24	46	3	1	0	238	359	476	834	238	289	27	14	362	131	+6	+0	-1	+1	+4	1.0
2021	31	MLB MLE	Philadelphia Phillies	—	377	333	74	9	3	19	43	112	1	3	0	222	313	438	751	216	276	30	11	331	110	+5	+1	-6	-7	+8	0.1
2022	32	MLB MLE	Texas Rangers	—	241	222	47	3	0	7	18	70	0	4	2	212	271	320	591	108	274	29	7	262	63	-10	+0	-5	-3	+5	-1.3
2023	33	MLB MLE	Texas Rangers	—	67	56	12	4	0	1	10	11	0	0	0	214	333	339	673	125	244	16	15	304	92	-1	+0	-0	-2	+1	-0.2
2023	33	AAA MLE	Round Rock Express	—	30	28	4	1	0	1	1	14	1	0	0	143	200	286	486	143	230	47	3	222	36	—	—	—	—	—	—
2023	33	AA MLE	Frisco RoughRiders	—	36	30	5	0	0	1	5	11	0	0	0	167	286	267	552	100	185	31	14	246	53	—	—	—	—	—	—
2011	21	A MLE	Clinton LumberKings	—	59	54	19	3	1	0	3	12	1	1	0	352	397	444	841	93	442	20	5	364	132	—	—	—	—	—	—
2011	21	A RAW	Clinton LumberKings	—	59	53	22	4	1	0	4	9	1	1	0	415	466	528	994	113	489	15	7	435	132	—	—	—	—	—	—
2012	22	A+ MLE	2 teams	—	643	580	161	29	5	11	51	143	2	23	7	278	338	402	740	124	347	22	8	321	103	—	—	—	—	—	—
2012	22	A+ RAW	2 teams	—	643	557	186	40	7	15	74	105	2	23	7	334	414	512	926	178	386	16	12	403	103	—	—	—	—	—	—
2013	23	MLB MLE	3 teams	—	632	575	158	22	8	18	47	111	2	11	7	275	332	435	767	160	310	18	7	335	113	+10	-1	+4	+7	+14	3.5
2013	23	MLB RAW	3 teams	—	632	563	163	23	8	20	59	100	2	11	7	290	359	465	824	176	319	16	9	361	113	+10	-1	+4	+7	+14	3.5
2014	24	MLB MLE	Seattle Mariners	—	411	371	81	15	4	10	32	95	2	4	2	218	284	361	645	143	264	23	8	289	81	-9	+0	+2	+4	+9	0.6
2014	24	MLB RAW	Seattle Mariners	—	411	367	81	15	4	10	34	95	2	4	2	221	289	365	654	144	268	23	8	289	81	-9	+0	+2	+4	+9	0.6
2015	25	MLB MLE	Seattle Mariners	—	497	438	113	22	4	11	47	101	2	13	4	258	333	402	734	144	307	20	9	326	107	+4	+1	-6	+5	+11	1.6
2015	25	MLB RAW	Seattle Mariners	—	497	438	113	22	4	11	47	101	2	13	4	258	333	402	734	144	307	20	9	323	107	+4	+1	-6	+5	+11	1.6
2016	26	MLB MLE	Tampa Bay Rays	—	601	548	134	30	6	31	47	149	3	6	4	245	308	491	799	246	278	25	8	344	119	+14	-0	-15	+6	+13	1.8
2016	26	MLB RAW	Tampa Bay Rays	—	601	548	133	29	6	30	47	149	3	6	4	243	306	482	788	239	277	25	8	343	119	+14	-0	-15	+6	+13	1.8
2017	27	MLB MLE	Tampa Bay Rays	—	407	342	67	13	3	9	59	110	2	5	3	196	318	330	648	135	256	27	14	299	89	-6	-0	-4	+1	+9	0.1
2017	27	MLB RAW	Tampa Bay Rays	—	407	338	68	13	3	9	63	110	2	5	3	201	330	337	667	136	265	27	15	306	89	-6	-0	-4	+1	+9	0.1
2018	28	MLB MLE	2 teams	—	285	259	61	14	2	7	23	95	0	1	0	236	298	386	684	151	338	33	8	306	93	-2	+0	-5	-5	+6	-0.7
2018	28	MLB RAW	2 teams	—	285	257	62	13	2	8	25	91	0	1	0	241	309	401	709	160	335	32	9	313	93	-2	+0	-5	-5	+6	-0.7
2019	29	MLB MLE	2 teams	—	333	299	72	13	2	20	30	93	2	3	3	241	314	498	813	258	277	28	9	352	124	+10	-1	-0	+1	+7	1.8
2019	29	MLB RAW	2 teams	—	333	290	80	15	2	23	39	85	2	3	3	276	366	579	945	303	310	26	12	406	124	+10	-1	-0	+1	+7	1.8
2020	30	MLB MLE	St. Louis Cardinals	—	171	143	34	8	1	8	24	46	3	1	0	238	359	476	834	238	289	27	14	362	131	+6	+0	-1	+1	+4	1.0
2020	30	MLB RAW	St. Louis Cardinals	—	171	142	33	8	1	7	25	46	3	1	0	232	359	451	810	218	289	27	15	360	131	+6	+0	-1	+1	+4	1.0
2021	31	MLB MLE	Philadelphia Phillies	—	377	333	74	9	3	19	43	112	1	3	0	222	313	438	751	216	272	30	11	331	110	+5	+1	-6	-7	+8	0.1
2021	31	MLB RAW	Philadelphia Phillies	—	377	331	75	9	3	20	45	112	1	3	0	227	321	453	774	227	276	30	12	342	110	+5	+1	-6	-7	+8	0.1
2022	32	MLB MLE	Texas Rangers	—	241	222	47	3	0	7	18	70	0	4	2	212	271	320	591	108	274	29	7	262	63	-10	+0	-5	-3	+5	-1.3
2022	32	MLB RAW	Texas Rangers	—	241	222	47	3	0	7	18	70	0	4	2	212	271	320	591	108	274	29	7	267	63	-10	+0	-5	-3	+5	-1.3
2023	33	MLB MLE	3 teams	—	133	113	21	5	0	3	17	36	1	0	0	186	298	310	607	124	237	27	13	270	69	-5	+0	-0	-2	+3	-0.5
2023	33	MLB RAW	3 teams	—	133	110	23	5	0	4	20	31	1	0	0	209	336	364	700	155	247	23	15	317	69	-5	+0	-0	-2	+3	-0.5
2011	21	A MLE	Clinton LumberKings	—	59	55	19	3	1	0	3	12	1	1	0	345	397	436	833	91	427	20	5	364	132	—	—	—	—	—	—
2012	22	A+ MLE	2 teams	—	643	585	161	29	5	11	51	143	2	23	7	275	338	398	736	123	338	22	8	321	103	—	—	—	—	—	—
2013	23	MLB MLE	3 teams	—	632	578	158	22	8	18	47	111	2	11	7	273	332	433	764	159	307	18	7	335	113	—	—	—	—	—	—
2014	24	MLB MLE	Seattle Mariners	—	411	374	81	15	4	10	32	95	2	4	2	217	284	358	642	142	268	23	8	289	81	—	—	—	—	—	—
2015	25	MLB MLE	Seattle Mariners	—	497	445	113	22	4	11	47	101	2	13	4	254	333	396	728	142	307	20	9	326	107	—	—	—	—	—	—
2016	26	MLB MLE	Tampa Bay Rays	—	601	546	134	30	6	31	47	149	3	6	4	245	308	493	800	247	277	25	8	344	119	—	—	—	—	—	—
2017	27	MLB MLE	Tampa Bay Rays	—	407	343	67	13	3	9	59	110	2	5	3	195	318	329	647	134	265	27	14	299	89	—	—	—	—	—	—
2018	28	MLB MLE	2 teams	—	285	260	61	14	2	7	23	95	0	1	0	235	298	385	682	150	332	33	8	306	93	—	—	—	—	—	—
2019	29	MLB MLE	2 teams	—	333	298	72	13	2	20	30	93	2	3	3	242	314	500	814	258	277	28	9	352	124	—	—	—	—	—	—
2020	30	MLB MLE	St. Louis Cardinals	—	171	142	34	8	1	8	24	46	3	1	0	239	359	479	838	239	289	27	14	362	131	—	—	—	—	—	—
2021	31	MLB MLE	Philadelphia Phillies	—	377	330	74	9	3	19	43	112	1	3	0	224	313	442	755	218	276	30	11	331	110	—	—	—	—	—	—
2022	32	MLB MLE	Texas Rangers	—	241	221	47	3	0	7	18	70	0	4	2	213	271	321	592	109	274	29	7	262	63	—	—	—	—	—	—
2023	33	MLB MLE	3 teams	—	133	114	21	5	0	3	17	36	1	0	0	184	298	307	605	123	225	27	13	270	69	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	3531	3132	740	133	30	123	350	873	15	43	18	236	316	416	732	179	286	25	10	323	104	+20	+1	-36	+9	+77	7.3
/ 162G	—	A+C		—	650	577	137	24	6	23	64	161	3	8	3	237	317	419	736	182	287	25	10	323	104	+4	+0	-7	+2	+14	1.3
Career	—	MLE		—	4790	4277	1042	186	39	154	441	1173	21	75	32	244	317	413	731	170	297	24	9	321	104	+20	+1	-36	+9	+77	7.3
/ 162G	—	MLE		—	650	580	141	25	5	21	60	159	3	10	4	243	317	412	729	169	296	24	9	321	104	+4	+0	-7	+2	+14	1.3

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.

2023 AAFrisco RoughRiders · 36 PAwOBA .316 → .246 (−69)K% 25.0% → 30.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.00%	÷1.009	×1.220	—	—	30.22%
BB% (unintentional) /PA	22.22%	÷0.989	×0.700	—	×0.940	14.79%
HBP% /PA	0.00%	—	×0.870	—	×0.940	0.00%
Singles /BIP	22.22%	÷1.031	×0.920	—	×0.940	18.64%
Doubles /BIP	0.00%	÷0.875	×0.840	—	×0.940	0.00%
Triples /BIP	0.00%	÷1.074	×0.940	—	×0.940	0.00%
Home runs /BIP	5.56%	÷0.974	×0.800	—	×0.940	4.29%

Factors used: league row TL. Park (home-season share, regressed): HR 95, 1B 106, 2B 75, 3B 115, K 102, BB 98 — applied at half strength. Age: age 34 vs a level average of 24.8 → −6.0% on BB/HBP/hit rates (9.2 yr older than average).

Result: wOBA .316 → .246; ISO .111 → .094; BABIP .222 → .185. 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 AAARound Rock Express · 30 PAwOBA .333 → .222 (−111)K% 36.7% → 45.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	36.67%	÷0.964	×1.200	—	—	45.62%
BB% (unintentional) /PA	6.67%	÷0.991	×0.690	—	×0.940	4.36%
HBP% /PA	3.33%	—	×0.940	—	×0.940	2.95%
Singles /BIP	18.75%	÷0.993	×0.930	—	×0.940	16.51%
Doubles /BIP	6.25%	÷1.044	×0.830	—	×0.940	4.67%
Triples /BIP	0.00%	÷0.918	×0.970	—	×0.940	0.00%
Home runs /BIP	12.50%	÷1.035	×0.700	—	×0.940	7.95%

Factors used: league row International League. Park (home-season share, regressed): HR 107, 1B 99, 2B 109, 3B 84, K 93, BB 98 — 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).

Result: wOBA .333 → .222; ISO .259 → .149; BABIP .286 → .230. 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 AAAScranton/Wilkes-Barre RailRiders · 163 PAwOBA .419 → .326 (−93)K% 24.5% → 29.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.54%	÷1.007	×1.200	—	—	29.25%
BB% (unintentional) /PA	14.11%	÷1.066	×0.690	—	×0.972	8.88%
HBP% /PA	0.61%	—	×0.940	—	×0.972	0.56%
Singles /BIP	20.83%	÷1.019	×0.930	×0.950	×0.972	17.55%
Doubles /BIP	9.38%	÷1.009	×0.830	×0.950	×0.972	7.12%
Triples /BIP	1.04%	÷0.938	×0.970	×0.950	×0.972	0.99%
Home runs /BIP	10.42%	÷1.087	×0.840	—	×0.972	7.82%

Factors used: league row IL. Park (home-season share, regressed): HR 117, 1B 104, 2B 102, 3B 88, K 101, BB 113 — 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 ×0.950.

Result: wOBA .419 → .326; ISO .301 → .239; BABIP .341 → .273. 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 AAAColorado Springs Sky Sox · 31 PAwOBA .253 → .183 (−70)K% 29.0% → 40.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	29.03%	÷0.925	×1.290	—	—	40.48%
BB% (unintentional) /PA	9.68%	÷0.985	×0.710	—	×0.982	6.85%
HBP% /PA	0.00%	—	×0.980	—	×0.982	0.00%
Singles /BIP	22.22%	÷1.014	×0.900	—	×0.982	19.36%
Doubles /BIP	0.00%	÷1.014	×0.810	—	×0.982	0.00%
Triples /BIP	0.00%	÷1.150	×0.810	—	×0.982	0.00%
Home runs /BIP	5.56%	÷1.124	×0.780	—	×0.982	3.79%

Factors used: league row PCL. Park (home-season share, regressed): HR 125, 1B 103, 2B 103, 3B 130, K 85, BB 97 — 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).

Result: wOBA .253 → .183; ISO .111 → .069; BABIP .222 → .189. 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).

2013 AAJackson Generals · 175 PAwOBA .363 → .306 (−56)K% 17.1% → 21.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.14%	÷0.994	×1.220	—	—	21.04%
BB% (unintentional) /PA	10.29%	÷1.020	×0.680	—	×1.012	6.94%
HBP% /PA	0.57%	—	×0.840	—	×1.012	0.49%
Singles /BIP	25.20%	÷1.046	×0.920	×1.032	×1.012	23.15%
Doubles /BIP	5.69%	÷1.065	×0.910	×1.032	×1.012	5.08%
Triples /BIP	0.81%	÷1.144	×0.880	×1.032	×1.012	0.65%
Home runs /BIP	4.88%	÷1.069	×0.800	—	×1.012	3.69%

Factors used: league row SL. Park (home-season share, regressed): HR 114, 1B 109, 2B 113, 3B 129, K 99, BB 104 — 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 ×1.032.

Result: wOBA .363 → .306; ISO .176 → .143; BABIP .333 → .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).

2013 AAATacoma Rainiers · 122 PAwOBA .438 → .398 (−40)K% 14.8% → 18.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.75%	÷1.030	×1.290	—	—	18.49%
BB% (unintentional) /PA	12.30%	÷1.049	×0.710	—	×1.048	8.72%
HBP% /PA	0.00%	—	×0.980	—	×1.048	0.00%
Singles /BIP	29.07%	÷0.983	×0.900	×1.008	×1.048	28.09%
Doubles /BIP	5.81%	÷0.957	×0.810	×1.008	×1.048	5.20%
Triples /BIP	1.16%	÷0.900	×0.810	×1.008	×1.048	1.11%
Home runs /BIP	6.98%	÷0.938	×0.780	—	×1.048	6.08%

Factors used: league row PCL. Park (home-season share, regressed): HR 88, 1B 97, 2B 91, 3B 80, K 106, BB 110 — applied at half strength. Age: age 24 vs a level average of 27.2 → +4.8% on BB/HBP/hit rates (3.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.008.

Result: wOBA .438 → .398; ISO .240 → .219; BABIP .373 → .354. 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).

2012 A+High Desert Mavericks · 473 PAwOBA .399 → .312 (−87)K% 16.7% → 23.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.70%	÷0.958	×1.340	—	—	23.37%
BB% (unintentional) /PA	10.57%	÷0.999	×0.710	—	×0.998	7.50%
HBP% /PA	0.42%	—	×0.790	—	×0.998	0.33%
Singles /BIP	27.19%	÷0.994	×0.910	×0.993	×0.998	24.67%
Doubles /BIP	9.97%	÷1.150	×0.820	×0.993	×0.998	7.05%
Triples /BIP	1.51%	÷1.150	×0.760	×0.993	×0.998	0.99%
Home runs /BIP	3.32%	÷1.267	×0.920	—	×0.998	2.41%

Factors used: league row CAL. Park (home-season share, regressed): HR 153, 1B 99, 2B 130, 3B 130, K 92, BB 100 — applied at half strength. Age: age 23 vs a level average of 22.8 → −0.2% on BB/HBP/hit rates (0.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.993.

Result: wOBA .399 → .312; ISO .185 → .129; BABIP .394 → .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).

2012 AAJackson Generals · 170 PAwOBA .384 → .346 (−38)K% 15.3% → 19.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.29%	÷0.974	×1.220	—	—	19.16%
BB% (unintentional) /PA	12.94%	÷0.997	×0.680	—	×1.027	9.07%
HBP% /PA	0.00%	—	×0.840	—	×1.027	0.00%
Singles /BIP	28.10%	÷0.943	×0.920	×1.040	×1.027	29.27%
Doubles /BIP	5.79%	÷1.228	×0.910	×1.040	×1.027	4.58%
Triples /BIP	1.65%	÷1.150	×0.880	×1.040	×1.027	1.35%
Home runs /BIP	3.31%	÷0.957	×0.800	—	×1.027	2.84%

Factors used: league row SL. Park (home-season share, regressed): HR 91, 1B 89, 2B 146, 3B 130, K 95, BB 99 — applied at half strength. Age: age 23 vs a level average of 24.8 → +2.7% on BB/HBP/hit rates (1.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.040.

Result: wOBA .384 → .346; ISO .156 → .131; BABIP .364 → .359. 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).