Bruce Maxwell

PosC

B/TL/R

Born1990-12-20

Age (2027)36

No MLB projection yet. Career stats below are historical.

Overview

INTLLAST SEASON 2022

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	wRC+	WAR	MLE AVG/OBP/SLG
2020	29	INTLToros del Este	58	.113/.175/.132	0	-13	—
2021	30	AAA/AA2 orgs	69	.211/.328/.351	2	45	—	.182/.269/.317
2022	31	INTLCaneros de lo…	164	.169/.307/.235	2	64	—

Contract

No contract data on file.

Skills · percentileStatcast 2016-2018

Avg EV52

xwOBA46

Barrel%14

Speed10

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. Catcher framing: only 2027 Statcast framing is modeled (Baseball Savant server-caches the leaderboard to the current season); prior-year framing is unmodeled — projections for established framers may run 1-3 WAR low.

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)
2012	21	ROK	AZL Athletics	—	26	21	11	4	0	0	5	3	0	0	0	524	615	714	1.330	190	611	12	19	575	168	—	—	—	—	—	—
2013	22	A+	Stockton Ports	—	197	175	46	8	0	5	19	34	1	0	0	263	338	394	733	131	297	17	10	328	70	—	—	—	—	—	—
2013	22	A	Beloit Snappers	—	228	199	57	14	0	2	24	29	0	0	0	286	363	387	750	101	324	13	11	333	68	—	—	—	—	—	—
2014	23	AA	Midland RockHounds	—	94	85	12	3	0	0	9	32	0	0	1	141	223	176	400	35	226	34	10	194	-14	—	—	—	—	—	—
2014	23	A+	Stockton Ports	—	334	289	79	11	1	6	41	58	2	0	1	273	367	381	748	107	322	17	12	340	71	—	—	—	—	—	—
2015	24	AA	Midland RockHounds	—	381	338	82	16	0	2	39	54	1	0	1	243	323	308	630	65	282	14	10	290	49	—	—	—	—	—	—
2016	25	MLB	Oakland Athletics	—	101	92	26	6	1	1	8	24	0	0	0	283	340	402	742	120	368	24	8	329	110	+1	+0	-0	+6	+2	0.9
2016	25	AAA	Nashville Sounds	—	219	193	62	12	0	10	24	38	0	1	0	321	396	539	935	218	354	17	11	407	126	—	—	—	—	—	—
2017	26	MLB	Oakland Athletics	—	253	219	52	12	0	3	31	63	0	0	0	237	332	333	665	96	316	25	12	303	92	-2	+0	+4	+6	+5	1.3
2017	26	AAA	Nashville Sounds	—	93	84	24	9	0	2	8	14	0	0	0	286	348	464	812	179	319	15	9	356	87	—	—	—	—	—	—
2018	27	MLB	Oakland Athletics	—	58	55	10	4	0	1	2	13	0	0	0	182	211	309	520	127	214	22	3	227	40	-4	+0	+1	+5	+1	0.2
2018	27	AAA	Nashville Sounds	—	200	178	39	8	0	1	21	61	0	0	0	219	302	281	582	62	325	30	10	271	34	—	—	—	—	—	—
2019	28	AAA	Acereros del Norte	—	487	424	138	27	0	24	59	94	1	0	0	325	409	559	968	233	369	19	12	421	98	—	—	—	—	—	—
2019	28	INTL	Charros de Jalisco	—	88	72	17	3	0	1	15	22	0	0	0	236	368	319	687	83	320	25	17	320	103	—	—	—	—	—	—
2020	29	INTL	Toros del Este	—	58	53	6	1	0	0	4	15	0	0	0	113	175	132	308	19	154	26	7	148	-13	—	—	—	—	—	—
2021	30	AAA	Syracuse Mets	—	31	23	4	1	0	1	7	9	0	0	0	174	367	348	714	174	214	29	23	324	54	—	—	—	—	—	—
2021	30	AA	Richmond Flying Squirrels	—	38	34	8	1	0	1	3	13	0	0	0	235	297	353	650	118	333	34	8	287	38	—	—	—	—	—	—
2022	31	INTL	Caneros de los Mochis	—	164	136	23	3	0	2	26	28	1	0	0	169	307	235	542	66	196	17	16	263	64	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	412	366	88	22	1	5	41	100	0	0	0	240	317	347	664	107	313	24	10	299	88	-6	+0	+4	+16	+9	2.4
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2012	21	ROK MLE	AZL Athletics	—	26	23	9	3	0	0	3	4	0	0	0	391	462	522	983	130	467	15	12	416	168	—	—	—	—	—	—
2013	22	A+ MLE	Stockton Ports	—	197	181	41	7	0	4	13	44	1	0	0	227	282	331	614	105	269	22	7	271	70	—	—	—	—	—	—
2013	22	A MLE	Beloit Snappers	—	228	207	50	12	0	2	16	41	0	0	0	242	296	329	624	87	278	18	7	268	68	—	—	—	—	—	—
2014	23	AA MLE	Midland RockHounds	—	94	88	10	2	0	0	6	41	0	0	1	114	170	136	307	23	217	44	6	148	-14	—	—	—	—	—	—
2014	23	A+ MLE	Stockton Ports	—	334	303	70	9	1	5	27	78	2	0	1	231	298	317	615	86	289	23	8	273	71	—	—	—	—	—	—
2015	24	AA MLE	Midland RockHounds	—	381	353	78	13	0	2	24	71	1	0	1	221	272	275	547	54	263	19	6	241	49	—	—	—	—	—	—
2016	25	MLB MLE	Oakland Athletics	—	101	92	26	6	1	1	8	24	0	0	0	283	340	402	742	120	368	24	8	330	110	+1	+0	-0	+6	+2	0.9
2016	25	AAA MLE	Nashville Sounds	—	219	199	57	11	0	9	18	49	0	1	0	286	346	477	823	191	330	22	8	354	126	—	—	—	—	—	—
2017	26	MLB MLE	Oakland Athletics	—	253	219	52	12	0	3	31	63	0	0	0	237	332	333	665	96	316	25	12	305	92	-2	+0	+4	+6	+5	1.3
2017	26	AAA MLE	Nashville Sounds	—	93	86	21	7	0	2	6	18	0	0	0	244	293	395	689	151	285	19	6	297	87	—	—	—	—	—	—
2018	27	MLB MLE	Oakland Athletics	—	58	55	10	4	0	1	2	13	0	0	0	182	211	309	520	127	214	22	3	228	40	-4	+0	+1	+5	+1	0.2
2018	27	AAA MLE	Nashville Sounds	—	200	184	34	7	0	1	15	75	0	0	0	185	246	239	485	54	297	38	8	218	34	—	—	—	—	—	—
2019	28	AAA MLE	Acereros del Norte	—	487	445	110	20	0	16	38	114	1	0	0	247	308	400	708	153	293	23	8	313	98	—	—	—	—	—	—
2021	30	AAA MLE	Syracuse Mets	—	31	25	4	1	0	1	5	11	0	0	0	160	300	320	620	160	184	35	16	248	54	—	—	—	—	—	—
2021	30	AA MLE	Richmond Flying Squirrels	—	38	35	7	1	0	1	2	16	0	0	0	200	243	314	558	114	293	42	5	225	38	—	—	—	—	—	—
2012	21	ROK MLE	AZL Athletics	—	26	23	9	3	0	0	3	4	0	0	0	391	462	522	983	130	474	15	12	416	168	—	—	—	—	—	—
2012	21	ROK RAW	AZL Athletics	—	26	21	11	4	0	0	5	3	0	0	0	524	615	714	1.330	190	611	12	19	575	168	—	—	—	—	—	—
2013	22	A MLE	2 teams	—	425	388	90	18	0	6	29	85	1	0	0	232	287	325	612	93	279	20	7	269	68	—	—	—	—	—	—
2013	22	A RAW	2 teams	—	425	374	103	22	0	7	43	63	1	0	0	275	352	390	742	115	312	15	10	331	68	—	—	—	—	—	—
2014	23	A+ MLE	2 teams	—	428	391	80	11	1	5	33	119	2	0	2	205	270	276	546	72	279	28	8	246	52	—	—	—	—	—	—
2014	23	A+ RAW	2 teams	—	428	374	91	14	1	6	50	90	2	0	2	243	336	334	670	91	304	21	12	308	52	—	—	—	—	—	—
2015	24	AA MLE	Midland RockHounds	—	381	353	78	13	0	2	24	71	1	0	1	221	272	275	547	54	270	19	6	241	49	—	—	—	—	—	—
2015	24	AA RAW	Midland RockHounds	—	381	338	82	16	0	2	39	54	1	0	1	243	323	308	630	65	282	14	10	290	49	—	—	—	—	—	—
2016	25	AAA MLE	2 teams	—	320	291	83	17	1	10	26	73	0	1	0	285	344	454	797	168	346	23	8	346	121	—	—	—	—	—	—
2016	25	AAA RAW	2 teams	—	320	285	88	18	1	11	32	62	0	1	0	309	379	495	873	186	358	19	10	383	121	—	—	—	—	—	—
2017	26	MLB MLE	2 teams	—	346	305	73	19	0	5	37	81	0	0	0	239	322	351	672	111	306	23	11	303	91	-4	+0	+4	+6	+7	1.4
2017	26	MLB RAW	2 teams	—	346	303	76	21	0	5	39	77	0	0	0	251	336	370	706	119	317	22	11	317	91	-4	+0	+4	+6	+7	1.4
2018	27	AAA MLE	2 teams	—	258	239	43	10	0	2	17	88	0	0	0	180	234	247	481	67	272	34	7	220	35	—	—	—	—	—	—
2018	27	AAA RAW	2 teams	—	258	233	49	12	0	2	23	74	0	0	0	210	281	288	569	77	296	29	9	261	35	—	—	—	—	—	—
2019	28	AAA MLE	2 teams	—	575	525	130	24	0	19	45	135	1	0	0	248	308	402	710	154	296	23	8	313	98	—	—	—	—	—	—
2019	28	AAA RAW	2 teams	—	575	496	155	30	0	25	74	116	1	0	0	312	403	524	927	212	362	20	13	406	98	—	—	—	—	—	—
2020	29	INTL MLE	Toros del Este	—	58	53	6	1	0	0	4	15	0	0	0	113	175	132	308	19	154	26	7	—	—	—	—	—	—	—	—
2020	29	INTL RAW	Toros del Este	—	58	53	6	1	0	0	4	15	0	0	0	113	175	132	308	19	154	26	7	148	-13	—	—	—	—	—	—
2021	30	AA MLE	2 teams	—	69	61	10	2	0	1	6	27	0	0	0	164	239	246	485	82	257	39	9	235	45	—	—	—	—	—	—
2021	30	AA RAW	2 teams	—	69	57	12	2	0	2	10	22	0	0	0	211	328	351	679	140	286	32	14	304	45	—	—	—	—	—	—
2022	31	INTL MLE	Caneros de los Mochis	—	164	136	23	3	0	2	26	28	1	0	0	169	307	235	542	66	196	17	16	—	—	—	—	—	—	—	—
2022	31	INTL RAW	Caneros de los Mochis	—	164	136	23	3	0	2	26	28	1	0	0	169	307	235	542	66	196	17	16	263	64	—	—	—	—	—	—
2012	21	ROK MLE	AZL Athletics	—	26	23	9	3	0	0	3	4	0	0	0	391	462	522	983	130	467	15	12	416	168	—	—	—	—	—	—
2013	22	A MLE	2 teams	—	425	392	90	18	0	6	29	85	1	0	0	230	287	321	609	92	274	20	7	269	68	—	—	—	—	—	—
2014	23	A+ MLE	2 teams	—	428	390	80	11	1	5	33	119	2	0	2	205	270	277	547	72	273	28	8	246	52	—	—	—	—	—	—
2015	24	AA MLE	Midland RockHounds	—	381	353	78	13	0	2	24	71	1	0	1	221	272	275	547	54	263	19	6	241	49	—	—	—	—	—	—
2016	25	AAA MLE	2 teams	—	320	291	83	17	1	10	26	73	0	1	0	285	344	454	797	168	342	23	8	346	121	—	—	—	—	—	—
2017	26	MLB MLE	2 teams	—	346	306	73	19	0	5	37	81	0	0	0	239	322	350	671	111	308	23	11	303	91	—	—	—	—	—	—
2018	27	AAA MLE	2 teams	—	258	239	43	10	0	2	17	88	0	0	0	180	234	247	481	67	278	34	7	220	35	—	—	—	—	—	—
2019	28	AAA MLE	2 teams	—	575	524	130	24	0	19	45	135	1	0	0	248	308	403	711	155	293	23	8	313	98	—	—	—	—	—	—
2021	30	AA MLE	2 teams	—	69	63	10	2	0	1	6	27	0	0	0	159	239	238	477	79	244	39	9	235	45	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	412	366	88	22	1	5	41	100	0	0	0	240	317	347	664	107	313	24	10	299	62	-6	+0	+4	+16	+9	2.4
/ 162G	—	A+C		—	650	577	140	35	2	8	65	158	0	0	0	243	319	352	671	109	317	24	10	299	62	-9	+0	+6	+26	+14	3.8
Career	—	MLE		—	3050	2765	625	121	2	52	250	726	6	1	3	226	292	328	619	102	285	24	8	259	62	-6	+0	+4	+16	+9	2.4
/ 162G	—	MLE		—	650	589	133	26	0	11	53	155	1	0	1	226	290	326	616	100	285	24	8	259	62	-9	+0	+6	+26	+14	3.8

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.

2021 AARichmond Flying Squirrels · 38 PAwOBA .286 → .225 (−61)K% 34.2% → 41.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	34.21%	÷1.004	×1.220	—	—	41.57%
BB% (unintentional) /PA	7.89%	÷1.134	×0.690	—	×0.940	4.52%
HBP% /PA	0.00%	—	×0.850	—	×0.940	0.00%
Singles /BIP	28.57%	÷0.970	×0.940	—	×0.940	26.03%
Doubles /BIP	4.76%	÷1.098	×0.870	—	×0.940	3.55%
Triples /BIP	0.00%	÷1.150	×0.920	—	×0.940	0.00%
Home runs /BIP	4.76%	÷0.923	×0.780	—	×0.940	3.78%

Factors used: level-wide AA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 85, 1B 94, 2B 120, 3B 130, K 101, BB 127 — applied at half strength. Age: age 31 vs a level average of 24.8 → −6.0% on BB/HBP/hit rates (6.2 yr older than average).

Result: wOBA .286 → .225; ISO .118 → .090; BABIP .333 → .293. 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 AAASyracuse Mets · 31 PAwOBA .328 → .248 (−79)K% 29.0% → 36.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	29.03%	÷0.966	×1.200	—	—	36.07%
BB% (unintentional) /PA	22.58%	÷1.006	×0.690	—	×0.962	14.89%
HBP% /PA	0.00%	—	×0.940	—	×0.962	0.00%
Singles /BIP	14.29%	÷1.032	×0.930	—	×0.962	12.38%
Doubles /BIP	7.14%	÷0.897	×0.830	—	×0.962	6.36%
Triples /BIP	0.00%	÷0.986	×0.920	—	×0.962	0.00%
Home runs /BIP	7.14%	÷1.039	×0.700	—	×0.962	4.63%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 108, 1B 106, 2B 79, 3B 97, K 93, BB 101 — 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).

Result: wOBA .328 → .248; ISO .174 → .134; BABIP .214 → .184. 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 AAAAcereros del Norte · 487 PAwOBA .410 → .313 (−97)K% 19.3% → 23.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.30%	÷0.988	×1.200	—	—	23.45%
BB% (unintentional) /PA	11.09%	÷0.960	×0.690	—	×0.982	7.83%
HBP% /PA	0.21%	—	×0.940	—	×0.982	0.19%
Singles /BIP	26.36%	÷1.036	×0.930	×0.950	×0.982	22.09%
Doubles /BIP	8.18%	÷1.048	×0.830	×0.950	×0.982	6.04%
Triples /BIP	0.00%	÷0.922	×0.920	×0.950	×0.982	0.00%
Home runs /BIP	7.27%	÷1.015	×0.700	—	×0.982	4.93%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 103, 1B 107, 2B 110, 3B 84, K 98, BB 92 — 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 .410 → .313; ISO .233 → .164; BABIP .369 → .293. 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 AAANashville Sounds · 200 PAwOBA .266 → .218 (−48)K% 30.5% → 37.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	30.50%	÷1.055	×1.290	—	—	37.28%
BB% (unintentional) /PA	10.50%	÷0.966	×0.710	—	×0.992	7.65%
HBP% /PA	0.00%	—	×0.980	—	×0.992	0.00%
Singles /BIP	25.64%	÷0.986	×0.900	×1.024	×0.992	23.79%
Doubles /BIP	6.84%	÷0.937	×0.810	×1.024	×0.992	6.01%
Triples /BIP	0.00%	÷1.150	×0.810	×1.024	×0.992	0.00%
Home runs /BIP	0.85%	÷0.988	×0.780	—	×0.992	0.67%

Factors used: league row PCL. Park (home-season share, regressed): HR 98, 1B 97, 2B 87, 3B 130, K 111, 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 ×1.024.

Result: wOBA .266 → .218; ISO .062 → .050; BABIP .325 → .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).

2017 AAANashville Sounds · 93 PAwOBA .350 → .297 (−53)K% 15.1% → 19.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.05%	÷1.003	×1.290	—	—	19.37%
BB% (unintentional) /PA	8.60%	÷1.029	×0.710	—	×1.003	5.95%
HBP% /PA	0.00%	—	×0.980	—	×1.003	0.00%
Singles /BIP	18.57%	÷0.984	×0.900	×1.032	×1.003	17.58%
Doubles /BIP	12.86%	÷1.021	×0.810	×1.032	×1.003	10.56%
Triples /BIP	0.00%	÷0.900	×0.810	×1.032	×1.003	0.00%
Home runs /BIP	2.86%	÷0.868	×0.780	—	×1.003	2.58%

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 ×1.032.

Result: wOBA .350 → .297; ISO .179 → .151; BABIP .319 → .285. 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 AAANashville Sounds · 219 PAwOBA .400 → .354 (−45)K% 17.4% → 22.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.35%	÷1.004	×1.290	—	—	22.29%
BB% (unintentional) /PA	10.96%	÷0.979	×0.710	—	×1.018	8.09%
HBP% /PA	0.00%	—	×0.980	—	×1.018	0.00%
Singles /BIP	25.81%	÷1.035	×0.900	×1.050	×1.018	24.00%
Doubles /BIP	7.74%	÷0.898	×0.810	×1.050	×1.018	7.46%
Triples /BIP	0.00%	÷1.015	×0.810	×1.050	×1.018	0.00%
Home runs /BIP	6.45%	÷0.856	×0.780	—	×1.018	5.98%

Factors used: league row PCL. Park (home-season share, regressed): HR 71, 1B 107, 2B 80, 3B 103, K 101, BB 96 — 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 .400 → .354; ISO .218 → .201; BABIP .354 → .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 AAMidland RockHounds · 381 PAwOBA .284 → .241 (−42)K% 14.2% → 18.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.17%	÷0.928	×1.220	—	—	18.64%
BB% (unintentional) /PA	9.97%	÷1.106	×0.700	—	×0.998	6.30%
HBP% /PA	0.26%	—	×0.870	—	×0.998	0.23%
Singles /BIP	22.54%	÷0.990	×0.920	×1.050	×0.998	21.95%
Doubles /BIP	5.63%	÷1.125	×0.840	×1.050	×0.998	4.41%
Triples /BIP	0.00%	÷1.150	×0.940	×1.050	×0.998	0.00%
Home runs /BIP	0.70%	÷0.982	×0.800	—	×0.998	0.57%

Factors used: league row TL. Park (home-season share, regressed): HR 96, 1B 98, 2B 125, 3B 130, K 86, BB 121 — applied at half strength. Age: age 25 vs a level average of 24.8 → −0.2% on BB/HBP/hit rates (0.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .284 → .241; ISO .065 → .052; BABIP .282 → .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).

2014 A+Stockton Ports · 334 PAwOBA .332 → .273 (−59)K% 17.4% → 23.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.37%	÷0.997	×1.340	—	—	23.34%
BB% (unintentional) /PA	11.98%	÷1.020	×0.710	—	×0.988	8.23%
HBP% /PA	0.60%	—	×0.790	—	×0.988	0.47%
Singles /BIP	26.41%	÷0.992	×0.910	×1.022	×0.988	24.45%
Doubles /BIP	4.76%	÷1.044	×0.820	×1.022	×0.988	3.77%
Triples /BIP	0.43%	÷1.011	×0.760	×1.022	×0.988	0.33%
Home runs /BIP	2.60%	÷1.112	×0.920	—	×0.988	2.12%

Factors used: league row CAL. Park (home-season share, regressed): HR 122, 1B 98, 2B 109, 3B 102, K 99, BB 104 — applied at half strength. Age: age 24 vs a level average of 22.8 → −1.2% on BB/HBP/hit rates (1.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.022.

Result: wOBA .332 → .273; ISO .107 → .085; BABIP .322 → .289. 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 — .