Justin Bour

Pos1B

B/TL/R

Born1988-05-28

Age (2027)39

No MLB projection yet. Career stats below are historical.

Overview

AAALAST SEASON 2021

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2018	30	MLBPHI	501	.227/.343/.404	20	2	104	-0.3
2019	31	AAALAA	229	.316/.441/.663	17	2	114	—	.225/.323/.455
2019	31	MLBLAA	170	.172/.260/.364	8	0	75	-1.0
2021	33	AAASF	130	.213/.346/.426	6	0	61	—	.167/.269/.307
2022	34	No MLB games played
2023	35	No MLB games played
2024	36	No MLB games played
2025	37	No MLB games played
2026	38	No MLB games played

Last 3 seasons WAR -1.3

Contract

No contract data on file.

Skills · percentileStatcast 2017-2019

xwOBA73

Barrel%66

Avg EV49

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.

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)
2009	21	ROK	AZL Cubs	—	62	55	15	4	0	2	5	17	0	1	0	273	333	455	788	182	342	27	8	338	43	—	—	—	—	—	—
2010	22	A	Peoria Chiefs	—	547	475	138	31	1	12	58	100	9	1	0	291	378	436	814	145	342	18	11	363	87	—	—	—	—	—	—
2011	23	A+	Daytona Cubs	—	558	502	139	30	1	23	46	105	2	3	2	277	340	478	818	201	304	19	8	356	79	—	—	—	—	—	—
2012	24	AA	Tennessee Smokies	—	577	506	143	36	0	17	62	115	3	4	1	283	364	455	819	172	332	20	11	361	95	—	—	—	—	—	—
2012	24	INTL	Gigantes de Carolina	—	60	52	12	6	0	1	8	13	0	0	0	231	333	404	737	173	289	22	13	332	111	—	—	—	—	—	—
2013	25	AA	Tennessee Smokies	—	361	317	75	17	0	18	36	63	2	0	2	237	318	461	779	224	236	17	10	338	82	—	—	—	—	—	—
2014	26	MLB	Miami Marlins	—	83	74	21	3	0	1	9	19	0	0	0	284	361	365	726	81	370	23	11	332	111	+1	+0	-1	-9	+2	-0.7
2014	26	AAA	New Orleans Zephyrs	—	430	385	118	27	0	18	39	57	3	3	1	306	375	517	892	210	319	13	9	390	110	—	—	—	—	—	—
2015	27	MLB	Miami Marlins	—	446	409	107	20	0	23	34	101	2	0	0	262	321	479	801	218	294	23	8	351	129	+16	+0	-12	-9	+10	0.4
2015	27	AAA	New Orleans Zephyrs	—	62	51	14	1	0	1	11	6	0	1	0	275	403	353	756	78	295	10	18	353	91	—	—	—	—	—	—
2016	28	MLB	Miami Marlins	—	321	280	74	12	1	15	38	56	0	0	0	264	352	475	827	211	278	17	12	363	126	+10	+0	-3	-6	+7	0.8
2016	28	AAA	New Orleans Zephyrs	—	19	18	2	0	0	0	1	0	0	0	0	111	158	111	269		111	0	5	132	-41	—	—	—	—	—	—
2017	29	MLB	Miami Marlins	—	429	377	109	18	0	25	47	95	1	1	0	289	369	536	905	247	322	22	11	393	153	+27	+0	-3	-8	+9	2.7
2018	30	MLB	Philadelphia Phillies	—	501	423	96	13	1	20	73	124	2	2	0	227	343	404	748	177	270	25	15	336	104	+3	+0	-8	-9	+11	-0.3
2019	31	MLB	Los Angeles Angels	—	170	151	26	5	0	8	17	52	1	0	0	172	260	364	625	192	196	31	10	279	75	-5	+0	-1	-7	+4	-1.0
2019	31	AAA	Salt Lake Bees	—	229	187	59	12	1	17	41	46	1	2	1	316	441	663	1.104	348	339	20	18	472	114	—	—	—	—	—	—
2021	33	AAA	Sacramento River Cats	—	130	108	23	5	0	6	20	30	2	0	1	213	346	426	772	213	236	23	15	348	61	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	1950	1714	433	71	2	92	218	447	6	3	0	253	339	457	796	205	287	23	11	351	124	+55	+1	-28	-48	+42	2.3
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2009	21	ROK MLE	AZL Cubs	—	62	57	11	3	0	1	3	24	0	1	0	193	233	298	532	105	261	39	5	232	43	—	—	—	—	—	—
2010	22	A MLE	Peoria Chiefs	—	547	499	126	27	1	9	34	135	9	1	0	253	312	365	677	112	318	25	6	297	87	—	—	—	—	—	—
2011	23	A+ MLE	Daytona Cubs	—	558	519	121	27	1	16	29	140	2	3	2	233	276	382	658	148	275	25	5	285	79	—	—	—	—	—	—
2012	24	AA MLE	Tennessee Smokies	—	577	532	134	33	0	13	36	144	3	4	1	252	303	387	690	135	313	25	6	308	95	—	—	—	—	—	—
2013	25	AA MLE	Tennessee Smokies	—	361	335	72	17	0	16	18	79	2	0	2	215	259	409	668	194	219	22	5	290	82	—	—	—	—	—	—
2014	26	MLB MLE	Miami Marlins	—	83	75	21	3	0	1	8	19	0	0	0	280	349	360	709	80	370	23	10	332	111	+1	+0	-1	-9	+2	-0.7
2014	26	AAA MLE	New Orleans Zephyrs	—	430	404	110	25	0	13	20	73	3	3	1	272	311	431	742	158	301	17	5	331	110	—	—	—	—	—	—
2015	27	MLB MLE	Miami Marlins	—	446	412	111	22	0	24	31	101	2	0	0	269	324	498	821	228	294	23	7	359	129	+16	+0	-12	-9	+10	0.4
2015	27	AAA MLE	New Orleans Zephyrs	—	62	56	15	1	0	1	6	8	0	1	0	268	339	339	678	71	280	13	10	302	91	—	—	—	—	—	—
2016	28	MLB MLE	Miami Marlins	—	321	289	77	13	1	16	29	56	0	0	0	266	333	484	818	218	278	17	9	355	126	+10	+0	-3	-6	+7	0.8
2016	28	AAA MLE	New Orleans Zephyrs	—	19	18	2	0	0	0	1	0	0	0	0	111	158	111	269		95	0	5	107	-41	—	—	—	—	—	—
2017	29	MLB MLE	Miami Marlins	—	429	384	113	20	0	26	40	95	1	1	0	294	362	549	912	255	322	22	9	395	153	+27	+0	-3	-8	+9	2.7
2018	30	MLB MLE	Philadelphia Phillies	—	501	429	95	13	1	19	67	124	2	2	0	221	329	389	719	168	270	25	13	322	104	+3	+0	-8	-9	+11	-0.3
2019	31	MLB MLE	Los Angeles Angels	—	170	151	26	5	0	8	17	52	1	0	0	172	260	364	625	192	196	31	10	279	75	-5	+0	-1	-7	+4	-1.0
2019	31	AAA MLE	Salt Lake Bees	—	229	200	45	8	1	12	28	59	1	2	1	225	323	455	778	230	255	26	12	337	114	—	—	—	—	—	—
2021	33	AAA MLE	Sacramento River Cats	—	130	114	19	4	0	4	14	35	2	0	1	167	269	307	576	140	198	27	11	259	61	—	—	—	—	—	—
2009	21	ROK MLE	AZL Cubs	—	62	57	11	3	0	1	3	24	0	1	0	193	233	298	532	105	294	39	5	232	43	—	—	—	—	—	—
2009	21	ROK RAW	AZL Cubs	—	62	55	15	4	0	2	5	17	0	1	0	273	333	455	788	182	342	27	8	338	43	—	—	—	—	—	—
2010	22	A MLE	Peoria Chiefs	—	547	499	126	27	1	9	34	135	9	1	0	253	312	365	677	112	325	25	6	297	87	—	—	—	—	—	—
2010	22	A RAW	Peoria Chiefs	—	547	475	138	31	1	12	58	100	9	1	0	291	378	436	814	145	342	18	11	363	87	—	—	—	—	—	—
2011	23	A+ MLE	Daytona Cubs	—	558	519	121	27	1	16	29	140	2	3	2	233	276	382	658	148	283	25	5	285	79	—	—	—	—	—	—
2011	23	A+ RAW	Daytona Cubs	—	558	502	139	30	1	23	46	105	2	3	2	277	340	478	818	201	304	19	8	356	79	—	—	—	—	—	—
2012	24	AA MLE	2 teams	—	637	588	149	37	0	15	40	159	3	4	1	253	304	393	697	139	319	25	6	308	95	—	—	—	—	—	—
2012	24	AA RAW	2 teams	—	637	558	155	42	0	18	70	128	3	4	1	278	361	450	811	172	328	20	11	359	95	—	—	—	—	—	—
2013	25	AA MLE	Tennessee Smokies	—	361	335	72	17	0	16	18	79	2	0	2	215	259	409	668	194	228	22	5	290	82	—	—	—	—	—	—
2013	25	AA RAW	Tennessee Smokies	—	361	317	75	17	0	18	36	63	2	0	2	237	318	461	779	224	236	17	10	338	82	—	—	—	—	—	—
2014	26	AAA MLE	2 teams	—	513	479	132	29	0	14	28	92	3	3	1	276	320	424	743	148	314	18	5	331	110	—	—	—	—	—	—
2014	26	AAA RAW	2 teams	—	513	459	139	30	0	19	48	76	3	3	1	303	373	492	865	190	327	15	9	381	110	—	—	—	—	—	—
2015	27	MLB MLE	2 teams	—	508	468	125	23	0	25	37	109	2	1	0	267	323	476	800	209	299	21	7	352	125	+15	+0	-12	-9	+11	0.5
2015	27	MLB RAW	2 teams	—	508	460	121	21	0	24	45	107	2	1	0	263	331	465	797	202	294	21	9	351	125	+15	+0	-12	-9	+11	0.5
2016	28	MLB MLE	2 teams	—	340	307	78	13	1	16	30	56	0	0	0	254	320	459	780	205	261	16	9	341	117	+7	+0	-3	-6	+7	0.5
2016	28	MLB RAW	2 teams	—	340	298	76	12	1	15	39	56	0	0	0	255	341	453	794	198	265	16	11	350	117	+7	+0	-3	-6	+7	0.5
2017	29	MLB MLE	Miami Marlins	—	429	384	113	20	0	26	40	95	1	1	0	294	362	549	912	255	326	22	9	395	153	+27	+0	-3	-8	+9	2.7
2017	29	MLB RAW	Miami Marlins	—	429	377	109	18	0	25	47	95	1	1	0	289	369	536	905	247	322	22	11	393	153	+27	+0	-3	-8	+9	2.7
2018	30	MLB MLE	Philadelphia Phillies	—	501	429	95	13	1	19	67	124	2	2	0	221	329	389	719	168	263	25	13	322	104	+3	+0	-8	-9	+11	-0.3
2018	30	MLB RAW	Philadelphia Phillies	—	501	423	96	13	1	20	73	124	2	2	0	227	343	404	748	177	270	25	15	336	104	+3	+0	-8	-9	+11	-0.3
2019	31	AAA MLE	2 teams	—	399	351	72	14	1	20	45	111	2	2	1	205	299	422	721	217	235	28	11	312	97	—	—	—	—	—	—
2019	31	AAA RAW	2 teams	—	399	338	85	17	1	25	58	98	2	2	1	251	364	530	894	278	278	25	15	390	97	—	—	—	—	—	—
2021	33	AAA MLE	Sacramento River Cats	—	130	114	19	4	0	4	14	35	2	0	1	167	269	307	576	140	200	27	11	259	61	—	—	—	—	—	—
2021	33	AAA RAW	Sacramento River Cats	—	130	108	23	5	0	6	20	30	2	0	1	213	346	426	772	213	236	23	15	348	61	—	—	—	—	—	—
2009	21	ROK MLE	AZL Cubs	—	62	59	11	3	0	1	3	24	0	1	0	186	233	288	521	102	261	39	5	232	43	—	—	—	—	—	—
2010	22	A MLE	Peoria Chiefs	—	547	499	126	27	1	9	34	135	9	1	0	253	312	365	677	112	318	25	6	297	87	—	—	—	—	—	—
2011	23	A+ MLE	Daytona Cubs	—	558	522	121	27	1	16	29	140	2	3	2	232	276	379	656	148	275	25	5	285	79	—	—	—	—	—	—
2012	24	AA MLE	2 teams	—	637	589	149	37	0	15	40	159	3	4	1	253	304	392	696	139	313	25	6	308	95	—	—	—	—	—	—
2013	25	AA MLE	Tennessee Smokies	—	361	338	72	17	0	16	18	79	2	0	2	213	259	405	664	192	219	22	5	290	82	—	—	—	—	—	—
2014	26	AAA MLE	2 teams	—	513	477	132	29	0	14	28	92	3	3	1	277	320	426	745	149	312	18	5	331	110	—	—	—	—	—	—
2015	27	MLB MLE	2 teams	—	508	464	125	23	0	25	37	109	2	1	0	269	323	481	804	211	292	21	7	352	125	—	—	—	—	—	—
2016	28	MLB MLE	2 teams	—	340	307	78	13	1	16	30	56	0	0	0	254	320	459	780	205	268	16	9	341	117	—	—	—	—	—	—
2017	29	MLB MLE	Miami Marlins	—	429	385	113	20	0	26	40	95	1	1	0	294	362	548	910	255	322	22	9	395	153	—	—	—	—	—	—
2018	30	MLB MLE	Philadelphia Phillies	—	501	427	95	13	1	19	67	124	2	2	0	222	329	391	720	169	270	25	13	322	104	—	—	—	—	—	—
2019	31	AAA MLE	2 teams	—	399	349	72	14	1	20	45	111	2	2	1	206	299	424	723	218	230	28	11	312	97	—	—	—	—	—	—
2021	33	AAA MLE	Sacramento River Cats	—	130	113	19	4	0	4	14	35	2	0	1	168	269	310	579	142	198	27	11	259	61	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1950	1714	433	71	2	92	218	447	6	3	0	253	339	457	796	205	287	23	11	351	102	+55	+1	-28	-48	+42	2.3
/ 162G	—	A+C		—	650	571	145	24	1	31	73	149	2	1	0	254	341	462	803	208	289	23	11	351	102	+18	+0	-9	-16	+14	0.8
Career	—	MLE		—	4985	4530	1113	227	5	181	385	1159	28	18	8	246	309	418	727	172	288	23	8	319	102	+55	+1	-28	-48	+42	2.3
/ 162G	—	MLE		—	650	591	146	30	1	24	50	151	4	2	1	247	310	423	733	176	290	23	8	319	102	+18	+0	-9	-16	+14	0.8

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 AAASacramento River Cats · 130 PAwOBA .339 → .259 (−80)K% 23.1% → 26.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.08%	÷1.034	×1.200	—	—	26.78%
BB% (unintentional) /PA	15.38%	÷0.956	×0.690	—	×0.942	10.46%
HBP% /PA	1.54%	—	×0.940	—	×0.942	1.36%
Singles /BIP	15.38%	÷1.049	×0.930	×1.027	×0.942	13.19%
Doubles /BIP	6.41%	÷0.916	×0.830	×1.027	×0.942	5.62%
Triples /BIP	0.00%	÷0.900	×0.920	×1.027	×0.942	0.00%
Home runs /BIP	7.69%	÷0.995	×0.700	—	×0.942	5.10%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 99, 1B 110, 2B 83, 3B 80, K 107, BB 91 — applied at half strength. Age: age 33 vs a level average of 27.2 → −5.8% on BB/HBP/hit rates (5.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.027.

Result: wOBA .339 → .259; ISO .213 → .155; BABIP .236 → .198. 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 AAASalt Lake Bees · 229 PAwOBA .458 → .337 (−121)K% 20.1% → 25.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.09%	÷1.009	×1.290	—	—	25.68%
BB% (unintentional) /PA	17.47%	÷0.980	×0.710	—	×0.962	12.18%
HBP% /PA	0.44%	—	×0.980	—	×0.962	0.41%
Singles /BIP	20.57%	÷1.007	×0.900	×0.950	×0.962	16.80%
Doubles /BIP	8.51%	÷1.062	×0.810	×0.950	×0.962	5.93%
Triples /BIP	0.71%	÷0.900	×0.810	×0.950	×0.962	0.58%
Home runs /BIP	12.06%	÷1.059	×0.780	—	×0.962	8.55%

Factors used: league row PCL. Park (home-season share, regressed): HR 112, 1B 101, 2B 112, 3B 80, K 102, BB 96 — 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 .458 → .337; ISO .348 → .247; BABIP .339 → .255. 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 AAANew Orleans Zephyrs · 19 PAwOBA .129 → .107 (−22)K% 0.0% → 0.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	0.00%	÷1.027	×1.290	—	—	0.00%
BB% (unintentional) /PA	5.26%	÷0.964	×0.710	—	×0.992	3.85%
HBP% /PA	0.00%	—	×0.980	—	×0.992	0.00%
Singles /BIP	11.11%	÷1.041	×0.900	—	×0.992	9.53%
Doubles /BIP	0.00%	÷0.929	×0.810	—	×0.992	0.00%
Triples /BIP	0.00%	÷1.057	×0.810	—	×0.992	0.00%
Home runs /BIP	0.00%	÷0.919	×0.780	—	×0.992	0.00%

Factors used: league row PCL. Park (home-season share, regressed): HR 84, 1B 108, 2B 86, 3B 111, K 105, 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).

Result: wOBA .129 → .107; ISO .000 → .000; BABIP .111 → .095. 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 AAANew Orleans Zephyrs · 62 PAwOBA .328 → .302 (−26)K% 9.7% → 12.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	9.68%	÷1.016	×1.290	—	—	12.29%
BB% (unintentional) /PA	12.90%	÷0.997	×0.710	—	×1.003	9.22%
HBP% /PA	0.00%	—	×0.980	—	×1.003	0.00%
Singles /BIP	26.67%	÷0.969	×0.900	×1.035	×1.003	25.70%
Doubles /BIP	2.22%	÷1.012	×0.810	×1.035	×1.003	1.84%
Triples /BIP	0.00%	÷0.985	×0.810	×1.035	×1.003	0.00%
Home runs /BIP	2.22%	÷0.975	×0.780	—	×1.003	1.78%

Factors used: league row PCL. Park (home-season share, regressed): HR 95, 1B 94, 2B 102, 3B 97, K 103, 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 ×1.035.

Result: wOBA .328 → .302; ISO .078 → .069; BABIP .295 → .280. 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 AAANew Orleans Zephyrs · 430 PAwOBA .374 → .331 (−43)K% 13.3% → 17.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.26%	÷1.008	×1.290	—	—	16.96%
BB% (unintentional) /PA	6.51%	÷1.007	×0.710	—	×1.018	4.67%
HBP% /PA	0.70%	—	×0.980	—	×1.018	0.70%
Singles /BIP	22.26%	÷0.980	×0.900	×1.037	×1.018	21.59%
Doubles /BIP	8.23%	÷0.923	×0.810	×1.037	×1.018	7.63%
Triples /BIP	0.00%	÷0.900	×0.810	×1.037	×1.018	0.00%
Home runs /BIP	5.49%	÷1.098	×0.780	—	×1.018	3.97%

Factors used: league row PCL. Park (home-season share, regressed): HR 120, 1B 96, 2B 85, 3B 80, K 102, BB 101 — 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 ×1.037.

Result: wOBA .374 → .331; ISO .210 → .169; BABIP .319 → .301. 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 AATennessee Smokies · 361 PAwOBA .326 → .290 (−36)K% 17.5% → 22.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.45%	÷0.968	×1.220	—	—	21.99%
BB% (unintentional) /PA	7.76%	÷1.060	×0.680	—	×0.998	4.97%
HBP% /PA	0.55%	—	×0.840	—	×0.998	0.46%
Singles /BIP	15.75%	÷0.990	×0.920	×1.010	×0.998	14.76%
Doubles /BIP	6.69%	÷0.970	×0.910	×1.010	×0.998	6.33%
Triples /BIP	0.00%	÷0.935	×0.880	×1.010	×0.998	0.00%
Home runs /BIP	7.09%	÷0.920	×0.800	—	×0.998	6.15%

Factors used: league row SL. Park (home-season share, regressed): HR 84, 1B 98, 2B 94, 3B 87, K 94, BB 112 — 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 ×1.010.

Result: wOBA .326 → .290; ISO .224 → .205; BABIP .236 → .219. 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 AATennessee Smokies · 577 PAwOBA .350 → .308 (−42)K% 19.9% → 24.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.93%	÷0.976	×1.220	—	—	24.92%
BB% (unintentional) /PA	9.01%	÷0.983	×0.680	—	×1.012	6.31%
HBP% /PA	0.52%	—	×0.840	—	×1.012	0.44%
Singles /BIP	23.02%	÷0.991	×0.920	×1.029	×1.012	22.27%
Doubles /BIP	9.21%	÷1.033	×0.910	×1.029	×1.012	8.45%
Triples /BIP	0.00%	÷1.082	×0.880	×1.029	×1.012	0.00%
Home runs /BIP	4.35%	÷1.028	×0.800	—	×1.012	3.42%

Factors used: league row SL. Park (home-season share, regressed): HR 106, 1B 98, 2B 107, 3B 116, K 95, BB 97 — 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 ×1.029.

Result: wOBA .350 → .308; ISO .172 → .146; BABIP .332 → .313. 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).

2011 A+Daytona Cubs · 558 PAwOBA .348 → .285 (−63)K% 18.8% → 25.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.82%	÷1.064	×1.420	—	—	25.10%
BB% (unintentional) /PA	7.35%	÷1.056	×0.750	—	×0.998	5.21%
HBP% /PA	0.36%	—	×0.930	—	×0.998	0.33%
Singles /BIP	21.41%	÷1.016	×0.920	×1.025	×0.998	19.83%
Doubles /BIP	7.56%	÷1.075	×0.960	×1.025	×0.998	6.91%
Triples /BIP	0.25%	÷1.030	×0.810	×1.025	×0.998	0.20%
Home runs /BIP	5.79%	÷1.232	×0.880	—	×0.998	4.13%

Factors used: league row FSL. Park (home-season share, regressed): HR 146, 1B 103, 2B 115, 3B 106, K 113, BB 111 — 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 ×1.025.

Result: wOBA .348 → .285; ISO .201 → .152; BABIP .304 → .275. 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 — .