Brennan Boesch

PosRF

B/TL/L

Born1985-04-12

Age (2027)42

No MLB projection yet. Career stats below are historical.

Overview

AAALAST SEASON 2016

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2014	29	AAALAA	407	.332/.383/.636	25	10	101	—	.252/.289/.457
2014	29	MLBLAA	79	.187/.208/.293	2	3	28	-1.1
2015	30	AAACIN	208	.326/.388/.439	4	0	93	—	.279/.311/.365
2015	30	MLBCIN	94	.146/.191/.202	1	1	8	-1.0
2016	31	AAAPawtucket Red…	158	.221/.271/.345	4	2	43	—	.196/.232/.291
2017	32	No MLB games played
2018	33	No MLB games played
2019	34	No MLB games played
2020	35	No MLB games played
2021	36	No MLB games played
2022	37	No MLB games played
2023	38	No MLB games played
2024	39	No MLB games played
2025	40	No MLB games played
2026	41	No MLB games played

Last 3 seasons WAR -2.1

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)
2007	22	A	West Michigan Whitecaps	—	542	513	137	19	4	10	23	81	1	15	4	267	300	378	678	111	297	15	4	300	55	—	—	—	—	—	—
2008	23	A+	Lakeland Flying Tigers	—	461	417	104	17	8	7	36	90	3	3	5	249	314	379	692	129	298	20	8	308	57	—	—	—	—	—	—
2009	24	AA	Erie SeaWolves	—	571	527	145	26	7	28	33	127	3	11	2	275	321	510	832	235	309	22	6	358	93	—	—	—	—	—	—
2010	25	MLB	Detroit Tigers	—	512	464	119	26	3	14	40	99	5	7	1	256	322	416	738	159	297	19	8	328	107	+4	+1	-9	-6	+11	0.2
2010	25	AAA	Toledo Mud Hens	—	66	58	22	3	1	3	4	17	4	2	1	379	455	621	1.075	241	500	26	6	470	154	—	—	—	—	—	—
2011	26	MLB	Detroit Tigers	—	472	428	121	25	1	16	35	83	5	5	3	283	344	458	802	175	315	18	7	353	128	+15	-0	-10	-5	+10	1.1
2012	27	MLB	Detroit Tigers	—	503	470	113	22	2	12	26	104	5	6	3	240	287	372	660	132	284	21	5	294	88	-7	+0	-10	-5	+11	-1.2
2013	28	MLB	New York Yankees	—	53	51	14	2	1	3	2	9	0	0	0	275	302	529	831	255	282	17	4	360	125	+2	+0	-3	-2	+1	-0.2
2013	28	AAA	Scranton/Wilkes-Barre RailRiders	—	37	30	6	2	0	0	7	8	0	0	0	200	351	267	618	67	273	22	19	299	47	—	—	—	—	—	—
2013	28	INTL	Leones del Escogido	—	75	58	12	2	0	0	17	12	0	3	3	207	387	241	628	34	261	16	23	313	98	—	—	—	—	—	—
2014	29	MLB	Los Angeles Angels	—	79	75	14	2	0	2	2	19	0	3	0	187	208	293	501	107	214	24	3	217	28	-7	+1	-1	-5	+2	-1.1
2014	29	AAA	Salt Lake Bees	—	407	374	124	25	7	25	29	86	2	10	4	332	383	636	1.019	305	374	21	7	437	101	—	—	—	—	—	—
2015	30	MLB	Cincinnati Reds	—	94	89	13	2	0	1	4	30	1	1	0	146	191	202	394	56	207	32	4	183	8	-10	+0	-3	+1	+2	-1.0
2015	30	AAA	Louisville Bats	—	208	187	61	9	0	4	19	41	0	0	2	326	388	439	827	112	399	20	9	368	93	—	—	—	—	—	—
2016	31	AAA	Pawtucket Red Sox	—	158	145	32	6	0	4	9	24	1	2	1	221	271	345	616	124	233	15	6	272	43	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	1713	1577	394	79	7	48	109	344	16	22	7	250	305	400	705	150	289	20	6	313	98	-4	+2	-35	-23	+37	-2.4
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2007	22	A MLE	West Michigan Whitecaps	—	542	521	122	16	4	8	15	110	1	15	4	234	257	326	583	92	274	20	3	250	55	—	—	—	—	—	—
2008	23	A+ MLE	Lakeland Flying Tigers	—	461	430	91	16	6	6	23	128	3	3	5	212	257	319	575	107	277	28	5	253	57	—	—	—	—	—	—
2009	24	AA MLE	Erie SeaWolves	—	571	541	135	23	7	22	19	155	3	11	2	250	279	440	719	190	297	27	3	306	93	—	—	—	—	—	—
2010	25	MLB MLE	Detroit Tigers	—	512	469	122	27	3	15	35	99	5	7	1	260	318	426	745	166	297	19	7	327	107	+4	+1	-9	-6	+11	0.2
2010	25	AAA MLE	Toledo Mud Hens	—	66	59	20	3	1	3	3	20	4	2	1	339	409	576	985	237	452	30	5	396	154	—	—	—	—	—	—
2011	26	MLB MLE	Detroit Tigers	—	472	430	124	26	1	17	33	83	5	5	3	288	346	472	818	184	315	18	7	357	128	+15	-0	-10	-5	+10	1.1
2012	27	MLB MLE	Detroit Tigers	—	503	471	116	23	2	13	25	104	5	6	3	246	291	386	678	140	284	21	5	298	88	-7	+0	-10	-5	+11	-1.2
2013	28	MLB MLE	New York Yankees	—	53	51	14	2	1	3	2	9	0	0	0	275	302	529	831	255	282	17	4	353	125	+2	+0	-3	-2	+1	-0.2
2013	28	AAA MLE	Scranton/Wilkes-Barre RailRiders	—	37	32	6	2	0	0	5	10	0	0	0	188	297	250	547	62	246	27	14	238	47	—	—	—	—	—	—
2014	29	MLB MLE	Los Angeles Angels	—	79	76	14	2	0	2	1	19	0	3	0	184	195	289	484	105	214	24	1	209	28	-7	+1	-1	-5	+2	-1.1
2014	29	AAA MLE	Salt Lake Bees	—	407	385	97	19	6	16	18	113	2	10	4	252	289	457	746	205	310	28	4	317	101	—	—	—	—	—	—
2015	30	MLB MLE	Cincinnati Reds	—	94	89	13	2	0	1	4	30	1	1	0	146	191	202	394	56	207	32	4	181	8	-10	+0	-3	+1	+2	-1.0
2015	30	AAA MLE	Louisville Bats	—	208	197	55	8	0	3	9	50	0	0	2	279	311	365	676	86	355	24	4	305	93	—	—	—	—	—	—
2016	31	AAA MLE	Pawtucket Red Sox	—	158	148	29	5	0	3	6	29	1	2	1	196	232	291	523	95	213	18	4	232	43	—	—	—	—	—	—
2007	22	A MLE	West Michigan Whitecaps	—	542	521	122	16	4	8	15	110	1	15	4	234	257	326	583	92	279	20	3	250	55	—	—	—	—	—	—
2007	22	A RAW	West Michigan Whitecaps	—	542	513	137	19	4	10	23	81	1	15	4	267	300	378	678	111	297	15	4	300	55	—	—	—	—	—	—
2008	23	A+ MLE	Lakeland Flying Tigers	—	461	430	91	16	6	6	23	128	3	3	5	212	257	319	575	107	282	28	5	253	57	—	—	—	—	—	—
2008	23	A+ RAW	Lakeland Flying Tigers	—	461	417	104	17	8	7	36	90	3	3	5	249	314	379	692	129	298	20	8	308	57	—	—	—	—	—	—
2009	24	AA MLE	Erie SeaWolves	—	571	541	135	23	7	22	19	155	3	11	2	250	279	440	719	190	305	27	3	306	93	—	—	—	—	—	—
2009	24	AA RAW	Erie SeaWolves	—	571	527	145	26	7	28	33	127	3	11	2	275	321	510	832	235	309	22	6	358	93	—	—	—	—	—	—
2010	25	MLB MLE	2 teams	—	578	528	140	29	4	17	38	119	9	9	2	265	325	432	757	167	311	21	7	335	113	+9	+1	-9	-6	+13	0.8
2010	25	MLB RAW	2 teams	—	578	522	141	29	4	17	44	116	9	9	2	270	337	439	776	169	316	20	8	344	113	+9	+1	-9	-6	+13	0.8
2011	26	MLB MLE	Detroit Tigers	—	472	430	124	26	1	17	33	83	5	5	3	288	346	472	818	184	320	18	7	357	128	+15	-0	-10	-5	+10	1.1
2011	26	MLB RAW	Detroit Tigers	—	472	428	121	25	1	16	35	83	5	5	3	283	344	458	802	175	315	18	7	353	128	+15	-0	-10	-5	+10	1.1
2012	27	MLB MLE	Detroit Tigers	—	503	471	116	23	2	13	25	104	5	6	3	246	291	386	678	140	289	21	5	298	88	-7	+0	-10	-5	+11	-1.2
2012	27	MLB RAW	Detroit Tigers	—	503	470	113	22	2	12	26	104	5	6	3	240	287	372	660	132	284	21	5	294	88	-7	+0	-10	-5	+11	-1.2
2013	28	INTL MLE	3 teams	—	165	153	36	7	2	5	12	34	0	3	3	235	291	405	696	170	272	21	7	305	93	—	—	—	—	—	—
2013	28	INTL RAW	3 teams	—	165	139	32	6	1	3	26	29	0	3	3	230	352	353	704	122	271	18	16	325	93	—	—	—	—	—	—
2014	29	AAA MLE	2 teams	—	486	461	111	21	6	18	19	132	2	13	4	241	274	430	703	189	295	27	4	299	89	—	—	—	—	—	—
2014	29	AAA RAW	2 teams	—	486	449	138	27	7	27	31	105	2	13	4	307	355	579	934	272	346	22	6	401	89	—	—	—	—	—	—
2015	30	AAA MLE	2 teams	—	302	286	68	10	0	4	13	80	1	1	2	238	273	315	588	77	315	26	4	266	66	—	—	—	—	—	—
2015	30	AAA RAW	2 teams	—	302	276	74	11	0	5	23	71	1	1	2	268	327	362	689	94	343	24	8	311	66	—	—	—	—	—	—
2016	31	AAA MLE	Pawtucket Red Sox	—	158	148	29	5	0	3	6	29	1	2	1	196	232	291	523	95	218	18	4	232	43	—	—	—	—	—	—
2016	31	AAA RAW	Pawtucket Red Sox	—	158	145	32	6	0	4	9	24	1	2	1	221	271	345	616	124	233	15	6	272	43	—	—	—	—	—	—
2007	22	A MLE	West Michigan Whitecaps	—	542	521	122	16	4	8	15	110	1	15	4	234	257	326	583	92	274	20	3	250	55	—	—	—	—	—	—
2008	23	A+ MLE	Lakeland Flying Tigers	—	461	432	91	16	6	6	23	128	3	3	5	211	257	317	574	106	277	28	5	253	57	—	—	—	—	—	—
2009	24	AA MLE	Erie SeaWolves	—	571	544	135	23	7	22	19	155	3	11	2	248	279	438	716	189	297	27	3	306	93	—	—	—	—	—	—
2010	25	MLB MLE	2 teams	—	578	526	140	29	4	17	38	119	9	9	2	266	325	433	759	167	314	21	7	335	113	—	—	—	—	—	—
2011	26	MLB MLE	Detroit Tigers	—	472	431	124	26	1	17	33	83	5	5	3	288	346	471	817	183	315	18	7	357	128	—	—	—	—	—	—
2012	27	MLB MLE	Detroit Tigers	—	503	468	116	23	2	13	25	104	5	6	3	248	291	389	680	141	284	21	5	298	88	—	—	—	—	—	—
2013	28	INTL MLE	3 teams	—	165	152	36	7	2	5	12	34	0	3	3	237	291	408	699	171	267	21	7	305	93	—	—	—	—	—	—
2014	29	AAA MLE	2 teams	—	486	462	111	21	6	18	19	132	2	13	4	240	274	429	702	188	294	27	4	299	89	—	—	—	—	—	—
2015	30	AAA MLE	2 teams	—	302	285	68	10	0	4	13	80	1	1	2	239	273	316	589	77	309	26	4	266	66	—	—	—	—	—	—
2016	31	AAA MLE	Pawtucket Red Sox	—	158	150	29	5	0	3	6	29	1	2	1	193	232	287	519	93	213	18	4	232	43	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1713	1577	394	79	7	48	109	344	16	22	7	250	305	400	705	150	289	20	6	313	86	-4	+2	-35	-23	+37	-2.4
/ 162G	—	A+C		—	650	598	150	30	3	18	41	131	6	8	3	251	305	401	706	151	291	20	6	313	86	-2	+1	-13	-9	+14	-0.9
Career	—	MLE		—	4238	3969	972	176	32	113	203	974	30	68	29	245	287	391	678	146	295	23	5	295	86	-4	+2	-35	-23	+37	-2.4
/ 162G	—	MLE		—	650	609	149	27	5	17	31	149	5	10	4	245	287	389	676	144	295	23	5	295	86	-2	+1	-13	-9	+14	-0.9

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.

2016 AAAPawtucket Red Sox · 158 PAwOBA .270 → .232 (−37)K% 15.2% → 18.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.19%	÷0.979	×1.200	—	—	18.62%
BB% (unintentional) /PA	5.70%	÷1.007	×0.690	—	×0.962	3.76%
HBP% /PA	0.63%	—	×0.940	—	×0.962	0.57%
Singles /BIP	18.18%	÷0.957	×0.930	×0.999	×0.962	16.98%
Doubles /BIP	4.96%	÷0.923	×0.830	×0.999	×0.962	4.28%
Triples /BIP	0.00%	÷0.912	×0.970	×0.999	×0.962	0.00%
Home runs /BIP	3.31%	÷0.994	×0.840	—	×0.962	2.69%

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 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 ×0.999.

Result: wOBA .270 → .232; ISO .124 → .104; BABIP .233 → .213. 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 AAALouisville Bats · 208 PAwOBA .352 → .305 (−47)K% 19.7% → 23.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.71%	÷0.991	×1.200	—	—	23.87%
BB% (unintentional) /PA	6.73%	÷1.023	×0.690	—	×0.972	4.41%
HBP% /PA	0.00%	—	×0.940	—	×0.972	0.00%
Singles /BIP	32.88%	÷0.999	×0.930	×1.002	×0.972	29.80%
Doubles /BIP	6.16%	÷0.975	×0.830	×1.002	×0.972	5.11%
Triples /BIP	0.00%	÷0.922	×0.970	×1.002	×0.972	0.00%
Home runs /BIP	2.74%	÷1.009	×0.840	—	×0.972	2.22%

Factors used: league row IL. Park (home-season share, regressed): HR 102, 1B 100, 2B 95, 3B 84, K 98, BB 105 — 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 ×1.002.

Result: wOBA .352 → .305; ISO .112 → .094; BABIP .399 → .355. 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 AAASalt Lake Bees · 407 PAwOBA .425 → .317 (−108)K% 21.1% → 27.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.13%	÷0.986	×1.290	—	—	27.65%
BB% (unintentional) /PA	6.63%	÷1.043	×0.710	—	×0.982	4.43%
HBP% /PA	0.49%	—	×0.980	—	×0.982	0.47%
Singles /BIP	23.26%	÷1.013	×0.900	×1.007	×0.982	20.45%
Doubles /BIP	8.68%	÷1.005	×0.810	×1.007	×0.982	6.92%
Triples /BIP	2.43%	÷0.958	×0.810	×1.007	×0.982	2.03%
Home runs /BIP	8.68%	÷1.139	×0.780	—	×0.982	5.83%

Factors used: league row PCL. Park (home-season share, regressed): HR 128, 1B 103, 2B 101, 3B 92, K 97, BB 109 — 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 ×1.007.

Result: wOBA .425 → .317; ISO .305 → .209; BABIP .374 → .310. 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 AAAScranton/Wilkes-Barre RailRiders · 37 PAwOBA .293 → .238 (−55)K% 21.6% → 25.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.62%	÷1.010	×1.200	—	—	25.68%
BB% (unintentional) /PA	18.92%	÷1.015	×0.690	—	×0.992	12.76%
HBP% /PA	0.00%	—	×0.940	—	×0.992	0.00%
Singles /BIP	18.18%	÷0.971	×0.930	—	×0.992	17.27%
Doubles /BIP	9.09%	÷1.026	×0.830	—	×0.992	7.30%
Triples /BIP	0.00%	÷1.000	×0.970	—	×0.992	0.00%
Home runs /BIP	0.00%	÷0.976	×0.840	—	×0.992	0.00%

Factors used: league row IL. Park (home-season share, regressed): HR 95, 1B 94, 2B 105, 3B 100, K 102, BB 103 — 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).

Result: wOBA .293 → .238; ISO .067 → .055; BABIP .273 → .246. 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).

2010 AAAToledo Mud Hens · 66 PAwOBA .457 → .396 (−61)K% 25.8% → 30.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.76%	÷1.015	×1.200	—	—	30.46%
BB% (unintentional) /PA	6.06%	÷0.922	×0.690	—	×1.033	4.69%
HBP% /PA	6.06%	—	×0.940	—	×1.033	5.88%
Singles /BIP	36.59%	÷1.059	×0.930	—	×1.033	33.18%
Doubles /BIP	7.32%	÷0.951	×0.830	—	×1.033	6.59%
Triples /BIP	2.44%	÷1.015	×0.970	—	×1.033	2.41%
Home runs /BIP	7.32%	÷0.957	×0.840	—	×1.033	6.64%

Factors used: league row IL. Park (home-season share, regressed): HR 91, 1B 112, 2B 90, 3B 103, K 103, BB 84 — 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).

Result: wOBA .457 → .396; ISO .241 → .210; BABIP .500 → .452. 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).

2009 AAErie SeaWolves · 571 PAwOBA .348 → .306 (−42)K% 22.2% → 27.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.24%	÷1.000	×1.220	—	—	27.13%
BB% (unintentional) /PA	4.73%	÷1.000	×0.700	—	×1.012	3.35%
HBP% /PA	0.53%	—	×0.850	—	×1.012	0.45%
Singles /BIP	21.00%	÷1.000	×0.970	×1.021	×1.012	21.05%
Doubles /BIP	6.50%	÷1.000	×0.860	×1.021	×1.012	5.78%
Triples /BIP	1.75%	÷1.000	×0.950	×1.021	×1.012	1.72%
Home runs /BIP	7.00%	÷1.000	×0.780	—	×1.012	5.53%

Factors used: league row EL. Park (home-season share, regressed): no park row on file (treated as neutral) — 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 ×1.021.

Result: wOBA .348 → .306; ISO .235 → .193; BABIP .309 → .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).

2008 A+Lakeland Flying Tigers · 461 PAwOBA .298 → .253 (−45)K% 19.5% → 27.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.52%	÷1.000	×1.420	—	—	27.72%
BB% (unintentional) /PA	6.51%	÷1.000	×0.750	—	×0.998	4.87%
HBP% /PA	0.65%	—	×0.930	—	×0.998	0.60%
Singles /BIP	22.02%	÷1.000	×0.920	×1.016	×0.998	20.54%
Doubles /BIP	5.20%	÷1.000	×0.960	×1.016	×0.998	5.06%
Triples /BIP	2.45%	÷1.000	×0.810	×1.016	×0.998	2.01%
Home runs /BIP	2.14%	÷1.000	×0.880	—	×0.998	1.88%

Factors used: league row FSL. Park (home-season share, regressed): no park row on file (treated as neutral) — 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 ×1.016.

Result: wOBA .298 → .253; ISO .129 → .109; BABIP .298 → .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).

2007 AWest Michigan Whitecaps · 542 PAwOBA .293 → .250 (−43)K% 14.9% → 20.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.94%	÷1.000	×1.360	—	—	20.32%
BB% (unintentional) /PA	3.87%	÷1.000	×0.690	—	—	2.67%
HBP% /PA	0.18%	—	×0.780	—	—	0.14%
Singles /BIP	24.07%	÷1.000	×0.920	×1.020	—	22.60%
Doubles /BIP	4.40%	÷1.000	×0.830	×1.020	—	3.72%
Triples /BIP	0.93%	÷1.000	×0.910	×1.020	—	0.86%
Home runs /BIP	2.31%	÷1.000	×0.800	—	—	1.85%

Factors used: level-wide A 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 22 vs a level average of 22.0 → +0.0% on BB/HBP/hit rates (0.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.020.

Result: wOBA .293 → .250; ISO .111 → .089; BABIP .297 → .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).

Not traceable per stint: some stints lack the counting stats the component translation needs. Level-wide factors that apply instead — .