Bryce Brentz

PosLF

B/TR/R

Born1988-12-30

Age (2027)38

No MLB projection yet. Career stats below are historical.

Overview

AAALAST SEASON 2019

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2017	28	AAA/INTL2 orgs	605	.260/.336/.518	38	2	92	—	.221/.270/.405
2018	29	AAA/INTL2 orgs	250	.253/.325/.524	15	1	69	—	.191/.244/.402
2019	30	AAA/INTL2 orgs	378	.207/.306/.422	18	0	53	—	.168/.245/.332

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	22	A+	Salem Red Sox	—	321	288	79	15	1	19	26	80	3	1	1	274	341	531	872	257	311	25	8	376	78	—	—	—	—	—	—
2011	22	A	Greenville Drive	—	186	170	61	10	3	11	14	35	2	2	2	359	414	647	1.061	288	403	19	8	459	122	—	—	—	—	—	—
2012	23	AAA	Pawtucket Red Sox	—	18	17	2	0	0	0	1	6	0	0	0	118	167	118	284		182	33	6	139	-35	—	—	—	—	—	—
2012	23	AA	Portland Sea Dogs	—	504	456	135	30	1	17	40	130	4	7	5	296	358	478	836	182	377	26	8	367	85	—	—	—	—	—	—
2012	23	INTL	Surprise Saguaros	—	71	64	19	1	1	2	6	19	1	2	0	297	366	438	804	141	395	27	8	360	130	—	—	—	—	—	—
2013	24	AAA	Pawtucket Red Sox	—	349	326	86	16	1	17	20	86	3	1	0	264	312	475	788	212	309	25	6	346	80	—	—	—	—	—	—
2013	24	ROK	GCL Red Sox	—	19	17	4	2	0	2	1	4	1	0	0	235	316	706	1.022	471	182	21	5	430	70	—	—	—	—	—	—
2013	24	INTL	Leones del Escogido	—	63	57	6	2	0	1	6	21	0	1	1	105	190	193	383	88	143	33	10	183	10	—	—	—	—	—	—
2014	25	MLB	Boston Red Sox	—	26	26	8	2	0	0	0	9	0	0	0	308	308	385	692	77	471	35	0	308	85	-0	+0	-1	-3	+1	-0.4
2014	25	AAA	Pawtucket Red Sox	—	267	230	56	11	2	12	32	58	3	0	1	243	343	465	809	222	272	22	12	355	77	—	—	—	—	—	—
2014	25	ROK	GCL Red Sox	—	21	18	1	1	0	0	3	5	0	0	0	56	190	111	302	56	77	24	14	161	-59	—	—	—	—	—	—
2015	26	AAA	Pawtucket Red Sox	—	250	220	51	9	0	8	24	74	2	0	0	232	313	382	695	150	303	30	10	309	59	—	—	—	—	—	—
2015	26	INTL	Criollos de Caguas	—	32	27	7	1	0	1	4	5	1	0	0	259	375	407	782	148	286	16	12	357	128	—	—	—	—	—	—
2016	27	MLB	Boston Red Sox	—	64	61	17	3	0	1	3	17	0	0	0	279	312	377	690	98	372	27	5	309	90	-1	+0	-1	-3	+1	-0.3
2016	27	AAA	Pawtucket Red Sox	—	212	204	51	17	1	4	8	52	0	2	0	250	278	402	680	152	318	25	4	300	58	—	—	—	—	—	—
2016	27	AA	Portland Sea Dogs	—	48	40	8	2	0	1	7	14	1	1	0	200	333	325	658	125	280	29	15	308	36	—	—	—	—	—	—
2017	28	AAA	Pawtucket Red Sox	—	494	450	122	21	1	31	42	109	1	1	1	271	335	529	864	258	293	22	9	376	84	—	—	—	—	—	—
2017	28	INTL	Naranjeros de Hermosillo	—	111	92	19	3	0	7	19	25	0	1	0	207	342	467	810	261	200	23	17	359	129	—	—	—	—	—	—
2018	29	AAA	Las Vegas 51s	—	214	193	51	16	0	15	19	67	1	1	0	264	333	580	914	316	321	31	9	392	74	—	—	—	—	—	—
2018	29	INTL	Naranjeros de Hermosillo	—	36	32	6	0	0	0	4	9	0	0	0	188	278	188	465		261	25	11	228	41	—	—	—	—	—	—
2019	30	AAA	Pawtucket Red Sox	—	357	310	67	17	0	18	39	122	6	0	2	216	315	445	761	229	285	34	11	336	58	—	—	—	—	—	—
2019	30	INTL	Cangrejeros de Santurce	—	21	19	1	0	0	0	2	8	0	0	0	53	143	53	195		91	38	10	110	-40	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	90	87	25	5	0	1	3	26	0	0	0	287	311	379	690	92	400	29	3	309	95	-1	+0	-1	-7	+2	-0.7
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2011	22	A+ MLE	Salem Red Sox	—	321	300	64	10	1	15	14	120	3	1	1	213	256	403	659	190	281	37	4	284	78	—	—	—	—	—	—
2011	22	A MLE	Greenville Drive	—	186	175	49	7	3	9	9	49	2	2	2	280	323	509	831	229	343	26	5	349	122	—	—	—	—	—	—
2012	23	AAA MLE	Pawtucket Red Sox	—	18	17	2	0	0	0	1	7	0	0	0	118	167	118	284		182	39	6	117	-35	—	—	—	—	—	—
2012	23	AA MLE	Portland Sea Dogs	—	504	470	118	23	1	12	26	166	4	7	5	251	296	381	677	130	351	33	5	294	85	—	—	—	—	—	—
2013	24	AAA MLE	Pawtucket Red Sox	—	349	333	78	13	1	13	13	102	3	1	0	234	269	396	666	162	296	29	4	287	80	—	—	—	—	—	—
2013	24	ROK MLE	GCL Red Sox	—	19	17	2	1	0	1	1	6	1	0	0	118	211	353	563	235	118	32	5	272	70	—	—	—	—	—	—
2014	25	MLB MLE	Boston Red Sox	—	26	26	8	2	0	0	0	9	0	0	0	308	308	385	692	77	471	35	0	294	85	-0	+0	-1	-3	+1	-0.4
2014	25	AAA MLE	Pawtucket Red Sox	—	267	241	50	10	2	8	21	71	3	0	1	207	279	365	644	158	253	27	8	282	77	—	—	—	—	—	—
2014	25	ROK MLE	GCL Red Sox	—	21	20	1	1	0	0	1	7	0	0	0	50	95	100	195	50	52	33	5	81	-59	—	—	—	—	—	—
2015	26	AAA MLE	Pawtucket Red Sox	—	250	227	45	8	0	6	17	93	2	0	0	198	260	313	573	115	288	37	7	256	59	—	—	—	—	—	—
2016	27	MLB MLE	Boston Red Sox	—	64	61	17	3	0	1	3	17	0	0	0	279	312	377	690	98	372	27	5	301	90	-1	+0	-1	-3	+1	-0.3
2016	27	AAA MLE	Pawtucket Red Sox	—	212	206	46	15	1	3	6	64	0	2	0	223	245	350	595	126	307	30	3	254	58	—	—	—	—	—	—
2016	27	AA MLE	Portland Sea Dogs	—	48	42	7	2	0	1	5	17	1	1	0	167	271	286	557	119	243	35	10	222	36	—	—	—	—	—	—
2017	28	AAA MLE	Pawtucket Red Sox	—	494	462	102	17	1	22	30	133	1	1	1	221	270	405	675	184	260	27	6	292	84	—	—	—	—	—	—
2018	29	AAA MLE	Las Vegas 51s	—	214	199	38	12	0	10	13	88	1	1	0	191	244	402	646	211	272	41	6	277	74	—	—	—	—	—	—
2019	30	AAA MLE	Pawtucket Red Sox	—	357	322	54	14	0	13	27	146	6	0	2	168	245	332	577	165	244	41	8	254	58	—	—	—	—	—	—
2011	22	A+ MLE	2 teams	—	507	474	113	18	3	24	24	169	5	3	3	238	282	441	723	203	312	33	5	308	94	—	—	—	—	—	—
2011	22	A+ RAW	2 teams	—	507	458	140	25	4	30	40	115	5	3	3	306	368	574	942	269	347	23	8	406	94	—	—	—	—	—	—
2012	23	AA MLE	3 teams	—	593	553	135	26	1	13	31	197	5	9	5	244	290	365	656	121	352	33	5	288	81	—	—	—	—	—	—
2012	23	AA RAW	3 teams	—	593	537	156	31	2	19	47	155	5	9	5	291	353	462	815	171	373	26	8	359	81	—	—	—	—	—	—
2013	24	AAA MLE	3 teams	—	431	412	94	16	1	17	15	126	4	2	1	228	262	396	658	167	286	29	3	286	80	—	—	—	—	—	—
2013	24	AAA RAW	3 teams	—	431	400	96	20	1	20	27	111	4	2	1	240	295	445	740	205	283	26	6	326	80	—	—	—	—	—	—
2014	25	AAA MLE	3 teams	—	314	287	58	12	2	8	22	87	3	0	1	202	266	341	607	139	258	28	7	270	69	—	—	—	—	—	—
2014	25	AAA RAW	3 teams	—	314	274	65	14	2	12	35	72	3	0	1	237	330	434	764	197	276	23	11	338	69	—	—	—	—	—	—
2015	26	AAA MLE	2 teams	—	282	256	51	9	0	7	19	105	3	0	0	199	263	316	579	117	297	37	7	256	59	—	—	—	—	—	—
2015	26	AAA RAW	2 teams	—	282	247	58	10	0	9	28	79	3	0	0	235	320	385	705	150	301	28	10	314	59	—	—	—	—	—	—
2016	27	AAA MLE	3 teams	—	324	310	69	19	1	5	13	98	1	3	0	223	256	339	595	116	309	30	4	258	61	—	—	—	—	—	—
2016	27	AAA RAW	3 teams	—	324	305	76	22	1	6	18	83	1	3	0	249	293	387	680	138	324	26	6	303	61	—	—	—	—	—	—
2017	28	AAA MLE	2 teams	—	605	566	125	21	1	27	37	163	1	2	1	221	270	405	674	184	260	27	6	292	84	—	—	—	—	—	—
2017	28	AAA RAW	2 teams	—	605	542	141	24	1	38	61	134	1	2	1	260	336	518	855	258	278	22	10	373	84	—	—	—	—	—	—
2018	29	AAA MLE	2 teams	—	250	233	45	14	0	12	15	102	1	1	0	193	245	408	653	215	275	41	6	277	74	—	—	—	—	—	—
2018	29	AAA RAW	2 teams	—	250	225	57	16	0	15	23	76	1	1	0	253	325	524	850	271	311	30	9	368	74	—	—	—	—	—	—
2019	30	AAA MLE	2 teams	—	378	342	57	14	0	14	28	155	6	0	2	167	242	330	572	164	246	41	7	254	58	—	—	—	—	—	—
2019	30	AAA RAW	2 teams	—	378	329	68	17	0	18	41	130	6	0	2	207	306	422	728	216	273	34	11	323	58	—	—	—	—	—	—
2011	22	A+ MLE	2 teams	—	507	473	113	18	3	24	24	169	5	3	3	239	282	442	724	203	304	33	5	308	94	—	—	—	—	—	—
2012	23	AA MLE	3 teams	—	593	552	135	26	1	13	31	197	5	9	5	245	290	366	656	121	345	33	5	288	81	—	—	—	—	—	—
2013	24	AAA MLE	3 teams	—	431	409	94	16	1	17	15	126	4	2	1	230	262	399	661	169	287	29	3	286	80	—	—	—	—	—	—
2014	25	AAA MLE	3 teams	—	314	286	58	12	2	8	22	87	3	0	1	203	266	343	609	140	258	28	7	270	69	—	—	—	—	—	—
2015	26	AAA MLE	2 teams	—	282	258	51	9	0	7	19	105	3	0	0	198	263	314	577	116	288	37	7	256	59	—	—	—	—	—	—
2016	27	AAA MLE	3 teams	—	324	307	69	19	1	5	13	98	1	3	0	225	256	342	598	117	310	30	4	258	61	—	—	—	—	—	—
2017	28	AAA MLE	2 teams	—	605	562	125	21	1	27	37	163	1	2	1	222	270	407	677	185	260	27	6	292	84	—	—	—	—	—	—
2018	29	AAA MLE	2 teams	—	250	232	45	14	0	12	15	102	1	1	0	194	245	409	654	216	272	41	6	277	74	—	—	—	—	—	—
2019	30	AAA MLE	2 teams	—	378	341	57	14	0	14	28	155	6	0	2	167	242	331	573	164	244	41	7	254	58	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	90	87	25	5	0	1	3	26	0	0	0	287	311	379	690	92	400	29	3	309	76	-1	+0	-1	-7	+2	-0.7
/ 162G	—	A+C		—	650	628	180	36	0	7	22	188	0	0	0	287	311	377	688	91	400	29	3	309	76	-4	+0	-10	-49	+14	-5.0
Career	—	MLE		—	3684	3433	747	149	9	127	204	1202	29	20	13	218	267	377	645	160	292	33	6	280	76	-1	+0	-1	-7	+2	-0.7
/ 162G	—	MLE		—	650	606	132	26	2	22	36	212	5	4	2	218	267	376	644	158	293	33	6	280	76	-4	+0	-10	-49	+14	-5.0

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.

2019 AAAPawtucket Red Sox · 357 PAwOBA .329 → .254 (−75)K% 34.2% → 40.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	34.17%	÷1.002	×1.200	—	—	40.93%
BB% (unintentional) /PA	10.92%	÷0.963	×0.690	—	×0.962	7.53%
HBP% /PA	1.68%	—	×0.940	—	×0.962	1.52%
Singles /BIP	17.02%	÷0.953	×0.930	×0.950	×0.962	15.18%
Doubles /BIP	9.04%	÷0.896	×0.830	×0.950	×0.962	7.65%
Triples /BIP	0.00%	÷0.900	×0.970	×0.950	×0.962	0.00%
Home runs /BIP	9.57%	÷1.038	×0.840	—	×0.962	7.46%

Factors used: league row IL. Park (home-season share, regressed): HR 108, 1B 91, 2B 79, 3B 80, K 100, 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 ×0.950.

Result: wOBA .329 → .254; ISO .229 → .173; BABIP .285 → .244. 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 AAALas Vegas 51s · 214 PAwOBA .382 → .277 (−106)K% 31.3% → 41.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	31.31%	÷0.986	×1.290	—	—	40.97%
BB% (unintentional) /PA	8.88%	÷1.039	×0.710	—	×0.972	5.90%
HBP% /PA	0.47%	—	×0.980	—	×0.972	0.45%
Singles /BIP	15.87%	÷0.992	×0.900	×1.005	×0.972	14.07%
Doubles /BIP	12.70%	÷0.918	×0.810	×1.005	×0.972	10.94%
Triples /BIP	0.00%	÷0.959	×0.810	×1.005	×0.972	0.00%
Home runs /BIP	11.90%	÷1.009	×0.780	—	×0.972	8.95%

Factors used: league row PCL. Park (home-season share, regressed): HR 102, 1B 98, 2B 84, 3B 92, K 97, BB 108 — 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 ×1.005.

Result: wOBA .382 → .277; ISO .316 → .221; BABIP .321 → .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).

2017 AAAPawtucket Red Sox · 494 PAwOBA .366 → .292 (−74)K% 22.1% → 26.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.06%	÷0.985	×1.200	—	—	26.89%
BB% (unintentional) /PA	8.50%	÷0.937	×0.690	—	×0.982	6.15%
HBP% /PA	0.20%	—	×0.940	—	×0.982	0.19%
Singles /BIP	20.23%	÷0.987	×0.930	×1.001	×0.982	18.75%
Doubles /BIP	6.16%	÷0.954	×0.830	×1.001	×0.982	5.27%
Triples /BIP	0.29%	÷1.000	×0.970	×1.001	×0.982	0.28%
Home runs /BIP	9.09%	÷1.106	×0.840	—	×0.982	6.78%

Factors used: league row IL. Park (home-season share, regressed): HR 121, 1B 97, 2B 91, 3B 100, K 97, BB 87 — 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 ×1.001.

Result: wOBA .366 → .292; ISO .258 → .192; BABIP .293 → .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 AAAPawtucket Red Sox · 212 PAwOBA .291 → .254 (−38)K% 24.5% → 30.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.53%	÷0.979	×1.200	—	—	30.06%
BB% (unintentional) /PA	3.77%	÷1.007	×0.690	—	×0.992	2.57%
HBP% /PA	0.00%	—	×0.940	—	×0.992	0.00%
Singles /BIP	19.08%	÷0.957	×0.930	×1.032	×0.992	18.97%
Doubles /BIP	11.18%	÷0.923	×0.830	×1.032	×0.992	10.29%
Triples /BIP	0.66%	÷0.912	×0.970	×1.032	×0.992	0.72%
Home runs /BIP	2.63%	÷0.994	×0.840	—	×0.992	2.21%

Factors used: league row IL. Park (home-season share, regressed): HR 99, 1B 91, 2B 85, 3B 82, K 96, BB 101 — 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 ×1.032.

Result: wOBA .291 → .254; ISO .152 → .128; BABIP .318 → .307. 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 AAPortland Sea Dogs · 48 PAwOBA .301 → .222 (−78)K% 29.2% → 36.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	29.17%	÷0.985	×1.220	—	—	36.13%
BB% (unintentional) /PA	14.58%	÷1.050	×0.700	—	×0.968	9.41%
HBP% /PA	2.08%	—	×0.850	—	×0.968	1.71%
Singles /BIP	19.23%	÷1.040	×0.970	—	×0.968	17.36%
Doubles /BIP	7.69%	÷0.997	×0.860	—	×0.968	6.42%
Triples /BIP	0.00%	÷1.031	×0.950	—	×0.968	0.00%
Home runs /BIP	3.85%	÷1.371	×0.780	—	×0.968	2.12%

Factors used: league row EL. Park (home-season share, regressed): HR 174, 1B 108, 2B 99, 3B 106, K 97, BB 110 — applied at half strength. Age: age 28 vs a level average of 24.8 → −3.2% on BB/HBP/hit rates (3.2 yr older than average).

Result: wOBA .301 → .222; ISO .125 → .081; BABIP .280 → .243. 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 AAAPawtucket Red Sox · 250 PAwOBA .306 → .256 (−49)K% 29.6% → 37.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	29.60%	÷0.956	×1.200	—	—	37.17%
BB% (unintentional) /PA	9.60%	÷0.996	×0.690	—	×1.003	6.67%
HBP% /PA	0.80%	—	×0.940	—	×1.003	0.75%
Singles /BIP	23.29%	÷0.989	×0.930	×1.015	×1.003	22.28%
Doubles /BIP	6.16%	÷0.867	×0.830	×1.015	×1.003	6.01%
Triples /BIP	0.00%	÷1.012	×0.970	×1.015	×1.003	0.00%
Home runs /BIP	5.48%	÷1.012	×0.840	—	×1.003	4.56%

Factors used: league row IL. Park (home-season share, regressed): HR 102, 1B 98, 2B 73, 3B 102, K 91, BB 99 — 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 ×1.015.

Result: wOBA .306 → .256; ISO .150 → .124; BABIP .303 → .288. 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 AAAPawtucket Red Sox · 267 PAwOBA .349 → .282 (−66)K% 21.7% → 26.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.72%	÷0.980	×1.200	—	—	26.59%
BB% (unintentional) /PA	11.99%	÷1.084	×0.690	—	×1.018	7.77%
HBP% /PA	1.12%	—	×0.940	—	×1.018	1.08%
Singles /BIP	18.02%	÷0.976	×0.930	×1.003	×1.018	17.53%
Doubles /BIP	6.40%	÷0.937	×0.830	×1.003	×1.018	5.78%
Triples /BIP	1.16%	÷1.104	×0.970	×1.003	×1.018	1.04%
Home runs /BIP	6.98%	÷1.240	×0.840	—	×1.018	4.81%

Factors used: league row IL. Park (home-season share, regressed): HR 148, 1B 95, 2B 87, 3B 121, K 96, BB 117 — 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 ×1.003.

Result: wOBA .349 → .282; ISO .222 → .167; BABIP .272 → .253. 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 ROKGCL Red Sox · 21 PAwOBA .131 → .081 (−50)K% 23.8% → 34.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.81%	÷1.000	×1.440	—	—	34.29%
BB% (unintentional) /PA	9.52%	÷1.000	×0.620	—	×0.940	5.55%
HBP% /PA	0.00%	—	×0.720	—	×0.940	0.00%
Singles /BIP	0.00%	÷1.000	×0.820	—	×0.940	0.00%
Doubles /BIP	7.69%	÷1.000	×0.720	—	×0.940	5.21%
Triples /BIP	0.00%	÷1.000	×0.720	—	×0.940	0.00%
Home runs /BIP	0.00%	÷1.000	×0.780	—	×0.940	0.00%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 26 vs a level average of 19.5 → −6.0% on BB/HBP/hit rates (6.5 yr older than average).

Result: wOBA .131 → .081; ISO .056 → .037; BABIP .077 → .052. 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 — .