Brandon Dixon

Pos3B

B/TR/R

Born1992-01-29

Age (2027)35

No MLB projection yet. Career stats below are historical.

Overview

AAALAST SEASON 2023

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2019	27	AAADET	46	.174/.174/.239	1	0	-10	—	.152/.152/.217
2019	27	MLBDET	420	.248/.293/.435	15	5	106	0.2
2022	30	AAA/AASD	228	.369/.448/.826	23	9	152	—	.278/.336/.600
2023	31	AAASD	273	.268/.352/.502	15	7	70	—	.206/.270/.351
2023	31	MLBSD	86	.203/.250/.329	2	1	62	-0.8
2024	32	No MLB games played
2025	33	No MLB games played
2026	34	No MLB games played

Last 3 seasons WAR -0.6

Contract

No contract data on file.

Skills · percentileMiLB Statcast 2023 AAA

Max EV86

Speed81

Chase%42

BB%39

Z-Con%16

K%15

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	21	A	Great Lakes Loons	—	228	211	39	11	1	1	11	65	1	6	2	185	229	261	489	76	259	29	5	218	-1	—	—	—	—	—	—
2014	22	A+	Rancho Cucamonga Quakes	—	416	390	102	23	4	9	12	103	2	8	7	262	287	410	697	149	330	25	3	299	50	—	—	—	—	—	—
2014	22	INTL	Adelaide Bite	—	218	204	59	17	2	9	5	54	6	21	2	289	326	525	850	235	352	25	2	366	134	—	—	—	—	—	—
2015	23	AA	Tulsa Drillers	—	349	336	82	16	2	8	12	98	1	16	6	244	272	375	647	131	322	28	3	287	42	—	—	—	—	—	—
2015	23	A+	Rancho Cucamonga Quakes	—	193	174	52	9	3	11	16	46	1	10	0	299	361	575	936	276	345	24	8	401	93	—	—	—	—	—	—
2015	23	INTL	Glendale Desert Dogs	—	66	61	18	4	0	3	3	15	0	2	0	295	328	508	836	213	333	23	5	355	126	—	—	—	—	—	—
2016	24	AA	Pensacola Blue Wahoos	—	461	419	109	23	1	16	30	137	6	15	5	260	319	434	753	174	342	30	7	330	68	—	—	—	—	—	—
2016	24	INTL	Peoria Javelinas	—	70	60	20	7	0	2	10	24	0	1	1	333	429	550	979	217	529	34	14	430	177	—	—	—	—	—	—
2017	25	AAA	Louisville Bats	—	491	440	116	31	3	16	37	125	7	18	8	264	331	457	787	193	328	25	8	343	74	—	—	—	—	—	—
2018	26	MLB	Cincinnati Reds	—	124	118	21	6	0	5	6	43	0	0	0	178	218	356	574	178	229	35	5	253	53	-7	+0	+1	-6	+3	-0.9
2018	26	AAA	Louisville Bats	—	193	179	62	18	2	6	12	54	1	9	3	346	391	570	960	223	467	28	6	417	104	—	—	—	—	—	—
2019	27	MLB	Detroit Tigers	—	420	391	97	20	4	15	21	136	4	5	1	248	293	435	728	187	336	32	5	318	106	+3	+1	-2	-8	+9	0.2
2019	27	AAA	Toledo Mud Hens	—	46	46	8	0	0	1	0	16	0	0	0	174	174	239	413	65	241	35	0	183	-10	—	—	—	—	—	—
2022	30	AAA	El Paso Chihuahuas	—	114	97	36	9	0	13	14	27	1	3	1	371	455	866	1.321	495	390	24	12	542	135	—	—	—	—	—	—
2022	30	AA	San Antonio Missions	—	114	98	36	7	2	10	12	25	1	6	0	367	441	786	1.227	418	394	22	11	505	169	—	—	—	—	—	—
2023	31	MLB	San Diego Padres	—	86	79	16	4	0	2	1	31	4	1	0	203	250	329	579	127	292	36	1	256	62	-4	+0	+1	-6	+2	-0.8
2023	31	AAA	El Paso Chihuahuas	—	273	239	64	7	2	15	28	85	3	7	0	268	352	502	854	234	345	31	10	371	70	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	630	588	134	30	4	22	28	210	8	6	1	228	272	405	677	177	309	33	4	296	87	-10	+1	-1	-20	+14	-1.7
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2013	21	A MLE	Great Lakes Loons	—	228	214	31	8	1	1	8	86	1	6	2	145	179	206	385	61	223	38	4	166	-1	—	—	—	—	—	—
2014	22	A+ MLE	Rancho Cucamonga Quakes	—	416	393	85	18	3	9	9	133	2	8	7	216	238	346	584	130	283	32	2	242	50	—	—	—	—	—	—
2015	23	AA MLE	Tulsa Drillers	—	349	339	70	12	2	6	9	121	1	16	6	206	229	307	536	100	303	35	3	231	42	—	—	—	—	—	—
2015	23	A+ MLE	Rancho Cucamonga Quakes	—	193	178	40	6	2	10	12	63	1	10	0	225	277	449	727	225	271	33	6	306	93	—	—	—	—	—	—
2016	24	AA MLE	Pensacola Blue Wahoos	—	461	431	94	18	1	14	18	160	6	15	5	218	259	362	621	144	297	35	4	268	68	—	—	—	—	—	—
2017	25	AAA MLE	Louisville Bats	—	491	451	99	24	3	13	26	152	7	18	8	220	273	373	645	153	287	31	5	278	74	—	—	—	—	—	—
2018	26	MLB MLE	Cincinnati Reds	—	124	118	21	6	0	5	6	43	0	0	0	178	218	356	574	178	229	35	5	246	53	-7	+0	+1	-6	+3	-0.9
2018	26	AAA MLE	Louisville Bats	—	193	183	50	13	2	5	8	67	1	9	3	273	307	448	755	175	398	35	4	322	104	—	—	—	—	—	—
2019	27	MLB MLE	Detroit Tigers	—	420	391	99	20	4	16	21	136	4	5	1	253	298	448	746	194	336	32	5	324	106	+3	+1	-2	-8	+9	0.2
2019	27	AAA MLE	Toledo Mud Hens	—	46	46	7	0	0	1	0	18	0	0	0	152	152	217	370	65	222	39	0	153	-10	—	—	—	—	—	—
2022	30	AAA MLE	El Paso Chihuahuas	—	114	103	26	6	0	8	8	34	1	3	1	252	312	544	856	291	277	30	7	367	135	—	—	—	—	—	—
2022	30	AA MLE	San Antonio Missions	—	114	102	31	5	2	9	8	30	1	6	0	304	360	657	1.017	353	317	26	7	418	169	—	—	—	—	—	—
2023	31	MLB MLE	San Diego Padres	—	86	79	16	4	0	2	1	31	4	1	0	203	250	329	579	127	292	36	1	259	62	-4	+0	+1	-6	+2	-0.8
2023	31	AAA MLE	El Paso Chihuahuas	—	273	248	51	5	2	9	19	103	3	7	0	206	270	351	621	145	296	38	7	272	70	—	—	—	—	—	—
2013	21	A MLE	Great Lakes Loons	—	228	214	31	8	1	1	8	86	1	6	2	145	179	206	385	61	233	38	4	166	-1	—	—	—	—	—	—
2013	21	A RAW	Great Lakes Loons	—	228	211	39	11	1	1	11	65	1	6	2	185	229	261	489	76	259	29	5	218	-1	—	—	—	—	—	—
2014	22	A+ MLE	2 teams	—	634	598	128	27	4	13	13	203	8	29	9	214	241	338	579	124	297	32	2	242	50	—	—	—	—	—	—
2014	22	A+ RAW	2 teams	—	634	594	161	40	6	18	17	157	8	29	9	271	300	449	750	178	337	25	3	322	50	—	—	—	—	—	—
2015	23	AA MLE	3 teams	—	608	579	123	20	4	18	23	207	2	28	6	212	245	354	599	142	293	34	4	258	61	—	—	—	—	—	—
2015	23	AA RAW	3 teams	—	608	571	152	29	5	22	31	159	2	28	6	266	306	450	756	184	330	26	5	331	61	—	—	—	—	—	—
2016	24	AA MLE	2 teams	—	531	498	108	21	1	16	21	185	6	16	6	217	257	359	617	143	304	35	4	268	68	—	—	—	—	—	—
2016	24	AA RAW	2 teams	—	531	479	129	30	1	18	40	161	6	16	6	269	333	449	782	180	363	30	8	343	68	—	—	—	—	—	—
2017	25	AAA MLE	Louisville Bats	—	491	451	99	24	3	13	26	152	7	18	8	220	273	373	645	153	295	31	5	278	74	—	—	—	—	—	—
2017	25	AAA RAW	Louisville Bats	—	491	440	116	31	3	16	37	125	7	18	8	264	331	457	787	193	328	25	8	343	74	—	—	—	—	—	—
2018	26	AAA MLE	2 teams	—	317	301	70	19	2	9	14	110	1	9	3	233	269	399	668	166	333	35	4	292	84	—	—	—	—	—	—
2018	26	AAA RAW	2 teams	—	317	297	83	24	2	11	18	97	1	9	3	279	323	485	808	205	379	31	6	353	84	—	—	—	—	—	—
2019	27	MLB MLE	2 teams	—	466	437	106	20	4	17	21	154	4	5	1	243	284	423	707	181	330	33	5	307	94	-3	+1	-2	-8	+10	-0.3
2019	27	MLB RAW	2 teams	—	466	437	105	20	4	16	21	152	4	5	1	240	281	414	696	174	326	33	5	304	94	-3	+1	-2	-8	+10	-0.3
2022	30	AAA MLE	2 teams	—	228	205	58	12	2	17	16	64	2	9	1	283	341	610	951	327	318	28	7	393	152	—	—	—	—	—	—
2022	30	AAA RAW	2 teams	—	228	195	72	16	2	23	26	52	2	9	1	369	448	826	1.274	456	392	23	11	523	152	—	—	—	—	—	—
2023	31	AAA MLE	2 teams	—	359	327	68	10	2	11	20	134	7	8	0	208	268	352	620	144	305	37	6	269	68	—	—	—	—	—	—
2023	31	AAA RAW	2 teams	—	359	318	80	11	2	17	29	116	7	8	0	252	328	459	787	208	332	32	8	344	68	—	—	—	—	—	—
2013	21	A MLE	Great Lakes Loons	—	228	217	31	8	1	1	8	86	1	6	2	143	179	203	382	60	223	38	4	166	-1	—	—	—	—	—	—
2014	22	A+ MLE	2 teams	—	634	608	128	27	4	13	13	203	8	29	9	211	241	332	573	122	283	32	2	242	50	—	—	—	—	—	—
2015	23	AA MLE	3 teams	—	608	578	123	20	4	18	23	207	2	28	6	213	245	355	600	142	292	34	4	258	61	—	—	—	—	—	—
2016	24	AA MLE	2 teams	—	531	499	108	21	1	16	21	185	6	16	6	216	257	359	616	142	297	35	4	268	68	—	—	—	—	—	—
2017	25	AAA MLE	Louisville Bats	—	491	455	99	24	3	13	26	152	7	18	8	218	273	369	642	152	287	31	5	278	74	—	—	—	—	—	—
2018	26	AAA MLE	2 teams	—	317	299	70	19	2	9	14	110	1	9	3	234	269	401	670	167	332	35	4	292	84	—	—	—	—	—	—
2019	27	MLB MLE	2 teams	—	466	438	106	20	4	17	21	154	4	5	1	242	284	422	706	180	325	33	5	307	94	—	—	—	—	—	—
2022	30	AAA MLE	2 teams	—	228	208	58	12	2	17	16	64	2	9	1	279	341	601	942	322	297	28	7	393	152	—	—	—	—	—	—
2023	31	AAA MLE	2 teams	—	359	329	68	10	2	11	20	134	7	8	0	207	268	350	618	143	295	37	6	269	68	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	630	588	134	30	4	22	28	210	8	6	1	228	272	405	677	177	309	33	4	296	70	-10	+1	-1	-20	+14	-1.7
/ 162G	—	A+C		—	650	607	138	31	4	23	29	217	8	6	1	227	272	405	677	178	308	33	4	296	70	-10	+1	-1	-21	+14	-1.8
Career	—	MLE		—	3862	3610	791	161	23	115	162	1295	38	128	36	219	260	372	632	153	302	34	4	272	70	-10	+1	-1	-20	+14	-1.7
/ 162G	—	MLE		—	650	608	133	27	4	19	27	218	6	22	6	219	259	370	629	151	302	34	4	272	70	-10	+1	-1	-21	+14	-1.8

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 AAAEl Paso Chihuahuas · 273 PAwOBA .365 → .272 (−93)K% 31.1% → 37.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	31.14%	÷0.985	×1.200	—	—	37.95%
BB% (unintentional) /PA	10.26%	÷0.963	×0.690	—	×0.962	7.07%
HBP% /PA	1.10%	—	×0.940	—	×0.962	0.99%
Singles /BIP	25.97%	÷0.958	×0.930	×0.978	×0.962	23.71%
Doubles /BIP	4.55%	÷0.975	×0.830	×0.978	×0.962	3.64%
Triples /BIP	1.30%	÷1.150	×0.970	×0.978	×0.962	1.03%
Home runs /BIP	9.74%	÷1.052	×0.700	—	×0.962	6.23%

Factors used: league row International League. Park (home-season share, regressed): HR 110, 1B 92, 2B 95, 3B 130, K 97, BB 93 — 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 ×0.978.

Result: wOBA .365 → .272; ISO .234 → .150; BABIP .345 → .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 AAAEl Paso Chihuahuas · 114 PAwOBA .533 → .367 (−166)K% 23.7% → 29.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.68%	÷0.959	×1.200	—	—	29.65%
BB% (unintentional) /PA	10.53%	÷0.990	×0.690	—	×0.972	7.13%
HBP% /PA	0.88%	—	×0.940	—	×0.972	0.80%
Singles /BIP	20.00%	÷1.047	×0.930	×0.962	×0.972	16.62%
Doubles /BIP	12.86%	÷1.133	×0.830	×0.962	×0.972	8.81%
Triples /BIP	0.00%	÷1.002	×0.970	×0.962	×0.972	0.00%
Home runs /BIP	18.57%	÷1.138	×0.700	—	×0.972	11.11%

Factors used: league row International League. Park (home-season share, regressed): HR 128, 1B 109, 2B 127, 3B 100, K 92, BB 98 — 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 ×0.962.

Result: wOBA .533 → .367; ISO .495 → .309; BABIP .390 → .277. 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 AASan Antonio Missions · 114 PAwOBA .503 → .418 (−85)K% 21.9% → 26.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.93%	÷1.008	×1.220	—	—	26.55%
BB% (unintentional) /PA	10.53%	÷0.965	×0.700	—	×0.948	7.24%
HBP% /PA	0.88%	—	×0.870	—	×0.948	0.72%
Singles /BIP	23.29%	÷0.979	×0.920	×0.958	×0.948	19.86%
Doubles /BIP	9.59%	÷1.035	×0.840	×0.958	×0.948	7.07%
Triples /BIP	2.74%	÷1.035	×0.940	×0.958	×0.948	2.26%
Home runs /BIP	13.70%	÷0.870	×0.800	—	×0.948	11.94%

Factors used: league row TL. Park (home-season share, regressed): HR 74, 1B 96, 2B 107, 3B 107, K 102, BB 93 — applied at half strength. Age: age 30 vs a level average of 24.8 → −5.2% on BB/HBP/hit rates (5.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.958.

Result: wOBA .503 → .418; ISO .418 → .361; BABIP .394 → .317. 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 AAAToledo Mud Hens · 46 PAwOBA .177 → .153 (−25)K% 34.8% → 39.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	34.78%	÷1.056	×1.200	—	—	39.54%
BB% (unintentional) /PA	0.00%	÷1.004	×0.690	—	×1.003	0.00%
HBP% /PA	0.00%	—	×0.940	—	×1.003	0.00%
Singles /BIP	23.33%	÷1.013	×0.930	—	×1.003	21.49%
Doubles /BIP	0.00%	÷0.995	×0.830	—	×1.003	0.00%
Triples /BIP	0.00%	÷1.096	×0.970	—	×1.003	0.00%
Home runs /BIP	3.33%	÷0.888	×0.840	—	×1.003	3.16%

Factors used: league row IL. Park (home-season share, regressed): HR 78, 1B 103, 2B 99, 3B 119, K 111, BB 101 — 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 .177 → .153; ISO .065 → .057; BABIP .241 → .222. 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 AAALouisville Bats · 193 PAwOBA .406 → .322 (−84)K% 28.0% → 34.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	27.98%	÷0.962	×1.200	—	—	34.89%
BB% (unintentional) /PA	5.70%	÷0.967	×0.690	—	×1.018	4.14%
HBP% /PA	0.52%	—	×0.940	—	×1.018	0.50%
Singles /BIP	28.80%	÷1.011	×0.930	×0.950	×1.018	25.62%
Doubles /BIP	14.40%	÷1.018	×0.830	×0.950	×1.018	11.36%
Triples /BIP	1.60%	÷1.001	×0.970	×0.950	×1.018	1.50%
Home runs /BIP	4.80%	÷0.988	×0.840	—	×1.018	4.16%

Factors used: league row IL. Park (home-season share, regressed): HR 98, 1B 102, 2B 104, 3B 100, K 92, 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 ×0.950.

Result: wOBA .406 → .322; ISO .223 → .175; BABIP .467 → .398. 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 AAALouisville Bats · 491 PAwOBA .338 → .278 (−60)K% 25.5% → 31.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.46%	÷0.985	×1.200	—	—	31.03%
BB% (unintentional) /PA	7.54%	÷1.015	×0.690	—	×1.033	5.29%
HBP% /PA	1.43%	—	×0.940	—	×1.033	1.38%
Singles /BIP	20.95%	÷1.038	×0.930	×0.991	×1.033	19.20%
Doubles /BIP	9.84%	÷1.051	×0.830	×0.991	×1.033	7.95%
Triples /BIP	0.95%	÷1.113	×0.970	×0.991	×1.033	0.85%
Home runs /BIP	5.08%	÷1.042	×0.840	—	×1.033	4.23%

Factors used: league row IL. Park (home-season share, regressed): HR 108, 1B 108, 2B 110, 3B 123, K 97, BB 103 — applied at half strength. Age: age 25 vs a level average of 27.2 → +3.3% on BB/HBP/hit rates (2.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.991.

Result: wOBA .338 → .278; ISO .193 → .155; BABIP .328 → .287. 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 AAPensacola Blue Wahoos · 461 PAwOBA .324 → .268 (−55)K% 29.7% → 34.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	29.72%	÷1.042	×1.220	—	—	34.78%
BB% (unintentional) /PA	6.07%	÷1.075	×0.680	—	×1.012	3.89%
HBP% /PA	1.30%	—	×0.840	—	×1.012	1.11%
Singles /BIP	24.47%	÷0.993	×0.920	×0.956	×1.012	21.94%
Doubles /BIP	8.16%	÷1.081	×0.910	×0.956	×1.012	6.64%
Triples /BIP	0.35%	÷0.981	×0.880	×0.956	×1.012	0.31%
Home runs /BIP	5.67%	÷0.924	×0.800	—	×1.012	4.97%

Factors used: league row SL. Park (home-season share, regressed): HR 85, 1B 99, 2B 116, 3B 96, K 108, BB 115 — 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 ×0.956.

Result: wOBA .324 → .268; ISO .174 → .147; BABIP .342 → .297. 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 AATulsa Drillers · 349 PAwOBA .279 → .231 (−48)K% 28.1% → 34.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	28.08%	÷0.989	×1.220	—	—	34.65%
BB% (unintentional) /PA	3.44%	÷0.976	×0.700	—	×1.027	2.53%
HBP% /PA	0.29%	—	×0.870	—	×1.027	0.26%
Singles /BIP	23.53%	÷0.938	×0.920	×0.971	×1.027	23.00%
Doubles /BIP	6.72%	÷1.006	×0.840	×0.971	×1.027	5.60%
Triples /BIP	0.84%	÷0.900	×0.940	×0.971	×1.027	0.88%
Home runs /BIP	3.36%	÷1.039	×0.800	—	×1.027	2.66%

Factors used: league row TL. Park (home-season share, regressed): HR 108, 1B 88, 2B 101, 3B 80, K 98, BB 95 — 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 ×0.971.

Result: wOBA .279 → .231; ISO .131 → .100; BABIP .322 → .303. 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 — .