Reid Brignac

PosSS

B/TL/R

Born1986-01-16

Age (2027)41

No MLB projection yet. Career stats below are historical.

Overview

AAALAST SEASON 2017

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2015	29	AAANew Orleans Z…	398	.268/.350/.375	5	3	60	—	.219/.281/.300
2015	29	MLBMIA	17	.077/.250/.077	0	0	6	-0.0
2016	30	AAAGwinnett Brav…	424	.264/.363/.394	8	6	69	—	.223/.291/.322
2016	30	MLBATL	29	.207/.207/.276	0	0	28	-0.2
2017	31	AAA/INTL2 orgs	483	.247/.333/.399	13	4	52	—	.190/.248/.307
2018	32	No MLB games played
2019	33	No MLB games played
2020	34	No MLB games played
2021	35	No MLB games played
2022	36	No MLB games played
2023	37	No MLB games played
2024	38	No MLB games played
2025	39	No MLB games played
2026	40	No MLB games played

Last 3 seasons WAR -0.2

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)
2005	19	A	Southwest Michigan Devil Rays	—	565	512	135	29	2	15	40	131	4	5	5	264	322	416	738	152	323	23	7	324	59	—	—	—	—	—	—
2006	20	AA	Montgomery Biscuits	—	121	110	33	6	2	3	7	31	3	3	0	300	358	473	831	173	390	26	6	365	91	—	—	—	—	—	—
2006	20	A+	Visalia Oaks	—	455	411	134	26	3	21	35	82	4	12	6	326	384	557	942	231	363	18	8	407	118	—	—	—	—	—	—
2007	21	AA	Montgomery Biscuits	—	596	527	137	30	5	17	55	94	3	15	5	260	333	433	766	173	282	16	9	335	82	—	—	—	—	—	—
2008	22	AAA	Durham Bulls	—	386	352	88	26	2	9	25	93	2	5	2	250	303	412	715	162	309	24	6	312	69	—	—	—	—	—	—
2009	23	MLB	Tampa Bay Rays	—	93	90	25	8	2	1	3	20	0	2	2	278	301	444	746	167	348	22	3	326	107	+1	-0	-1	+6	+2	0.8
2009	23	AAA	Durham Bulls	—	453	415	117	28	2	8	27	69	3	5	5	282	330	417	747	135	318	15	6	328	78	—	—	—	—	—	—
2010	24	MLB	Tampa Bay Rays	—	326	301	77	13	1	8	20	77	3	3	3	256	309	385	694	130	317	24	6	309	91	-4	-1	+5	+1	+7	0.9
2011	25	MLB	Tampa Bay Rays	—	264	249	48	4	0	1	10	63	1	3	1	193	227	221	448	28	254	24	4	204	21	-25	+0	+3	+3	+6	-1.3
2011	25	AAA	Durham Bulls	—	48	39	9	2	1	1	7	6	0	0	1	231	348	410	758	179	250	12	15	327	89	—	—	—	—	—	—
2012	26	MLB	Tampa Bay Rays	—	22	21	2	0	0	0	1	5	0	0	0	95	136	95	232		125	23	5	114	-38	-4	+0	+1	+5	+0	0.2
2012	26	AAA	Durham Bulls	—	400	346	80	14	2	8	45	79	3	3	3	231	325	353	677	121	276	20	11	305	59	—	—	—	—	—	—
2013	27	MLB	New York Yankees	—	98	92	17	4	0	1	4	30	0	0	0	185	219	261	480	76	262	31	4	213	25	-9	+0	+1	+3	+2	-0.2
2013	27	AAA	Colorado Springs Sky Sox	—	194	165	38	8	0	2	20	33	4	2	1	230	326	315	641	85	273	17	10	292	43	—	—	—	—	—	—
2014	28	MLB	Philadelphia Phillies	—	91	81	18	5	1	1	9	33	0	1	1	222	300	346	646	123	362	36	10	290	77	-3	-0	-0	+1	+2	-0.0
2014	28	AAA	Lehigh Valley IronPigs	—	149	128	34	8	1	5	16	31	0	3	0	266	347	461	808	195	305	21	11	346	93	—	—	—	—	—	—
2015	29	MLB	Miami Marlins	—	17	13	1	0	0	0	3	5	0	0	0	77	250	77	327		125	29	18	176	6	-2	+0	-0	+1	+0	-0.0
2015	29	AAA	New Orleans Zephyrs	—	398	347	93	20	1	5	42	62	2	3	1	268	350	375	725	107	311	16	11	324	60	—	—	—	—	—	—
2016	30	MLB	Atlanta Braves	—	29	29	6	2	0	0	0	8	0	0	0	207	207	276	483	69	286	28	0	213	28	-2	+0	-1	+2	+1	-0.2
2016	30	AAA	Gwinnett Braves	—	424	363	96	21	1	8	52	91	4	6	3	264	363	394	757	129	331	21	12	340	69	—	—	—	—	—	—
2017	31	AAA	Fresno Grizzlies	—	437	387	97	17	3	13	41	116	4	4	1	251	329	411	740	160	321	27	9	328	49	—	—	—	—	—	—
2017	31	INTL	Yaquis de Obregon	—	46	34	7	2	0	0	7	11	2	0	0	206	372	265	637	59	292	24	15	292	84	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	940	876	194	36	4	12	50	241	4	9	7	221	267	313	579	91	291	26	5	260	62	-43	-1	+8	+22	+20	0.7
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2005	19	A MLE	Southwest Michigan Devil Rays	—	565	523	112	22	2	12	29	178	4	5	5	214	261	333	593	119	286	32	5	255	59	—	—	—	—	—	—
2006	20	AA MLE	Montgomery Biscuits	—	121	112	28	5	2	2	5	38	3	3	0	250	300	384	684	134	353	31	4	302	91	—	—	—	—	—	—
2006	20	A+ MLE	Visalia Oaks	—	455	420	118	21	2	19	26	110	4	12	6	281	329	476	805	195	330	24	6	343	118	—	—	—	—	—	—
2007	21	AA MLE	Montgomery Biscuits	—	596	545	128	28	5	15	37	114	3	15	5	235	287	387	674	152	258	19	6	290	82	—	—	—	—	—	—
2008	22	AAA MLE	Durham Bulls	—	386	360	81	22	2	8	17	112	2	5	2	225	264	364	628	139	287	29	4	270	69	—	—	—	—	—	—
2009	23	MLB MLE	Tampa Bay Rays	—	93	90	25	8	2	1	3	20	0	2	2	278	301	444	746	167	348	22	3	326	107	+1	-0	-1	+6	+2	0.8
2009	23	AAA MLE	Durham Bulls	—	453	423	106	23	2	7	19	83	3	5	5	251	288	364	652	113	288	18	4	284	78	—	—	—	—	—	—
2010	24	MLB MLE	Tampa Bay Rays	—	326	304	76	13	1	8	17	77	3	3	3	250	296	378	675	128	317	24	5	302	91	-4	-1	+5	+1	+7	0.9
2011	25	MLB MLE	Tampa Bay Rays	—	264	250	47	4	0	1	9	63	1	3	1	188	219	216	435	28	254	24	3	199	21	-25	+0	+3	+3	+6	-1.3
2011	25	AAA MLE	Durham Bulls	—	48	41	9	2	1	1	5	7	0	0	1	220	304	390	695	171	239	15	10	300	89	—	—	—	—	—	—
2012	26	MLB MLE	Tampa Bay Rays	—	22	21	2	0	0	0	1	5	0	0	0	95	136	95	232		125	23	5	112	-38	-4	+0	+1	+5	+0	0.2
2012	26	AAA MLE	Durham Bulls	—	400	361	74	12	2	6	30	94	3	3	3	205	272	299	571	94	255	24	8	256	59	—	—	—	—	—	—
2013	27	MLB MLE	New York Yankees	—	98	93	17	4	0	1	3	30	0	0	0	183	208	258	466	75	262	31	3	205	25	-9	+0	+1	+3	+2	-0.2
2013	27	AAA MLE	Colorado Springs Sky Sox	—	194	172	32	6	0	2	14	45	4	2	1	186	263	256	519	70	229	23	7	232	43	—	—	—	—	—	—
2014	28	MLB MLE	Philadelphia Phillies	—	91	82	18	5	1	1	8	33	0	1	1	220	289	341	630	122	362	36	9	281	77	-3	-0	-0	+1	+2	-0.0
2014	28	AAA MLE	Lehigh Valley IronPigs	—	149	133	33	7	1	5	11	35	0	3	0	248	306	429	734	180	272	23	7	306	93	—	—	—	—	—	—
2015	29	MLB MLE	Miami Marlins	—	17	13	1	0	0	0	3	5	0	0	0	77	250	77	327		125	29	18	177	6	-2	+0	-0	+1	+0	-0.0
2015	29	AAA MLE	New Orleans Zephyrs	—	398	360	79	15	1	4	29	79	2	3	1	219	281	300	581	81	261	20	7	257	60	—	—	—	—	—	—
2016	30	MLB MLE	Atlanta Braves	—	29	29	6	2	0	0	0	8	0	0	0	207	207	276	483	69	286	28	0	209	28	-2	+0	-1	+2	+1	-0.2
2016	30	AAA MLE	Gwinnett Braves	—	424	382	85	18	1	6	33	104	4	6	3	223	291	322	613	99	282	25	8	270	69	—	—	—	—	—	—
2017	31	AAA MLE	Fresno Grizzlies	—	437	401	76	13	2	10	27	151	4	4	1	190	248	307	554	117	262	35	6	240	49	—	—	—	—	—	—
2005	19	A MLE	Southwest Michigan Devil Rays	—	565	523	112	22	2	12	29	178	4	5	5	214	261	333	593	119	296	32	5	255	59	—	—	—	—	—	—
2005	19	A RAW	Southwest Michigan Devil Rays	—	565	512	135	29	2	15	40	131	4	5	5	264	322	416	738	152	323	23	7	324	59	—	—	—	—	—	—
2006	20	A+ MLE	2 teams	—	576	532	147	26	4	22	31	148	7	15	6	276	325	464	789	188	342	26	5	334	112	—	—	—	—	—	—
2006	20	A+ RAW	2 teams	—	576	521	167	32	5	24	42	113	7	15	6	321	379	539	918	219	369	20	7	398	112	—	—	—	—	—	—
2007	21	AA MLE	Montgomery Biscuits	—	596	545	128	28	5	15	37	114	3	15	5	235	287	387	674	152	265	19	6	290	82	—	—	—	—	—	—
2007	21	AA RAW	Montgomery Biscuits	—	596	527	137	30	5	17	55	94	3	15	5	260	333	433	766	173	282	16	9	335	82	—	—	—	—	—	—
2008	22	AAA MLE	Durham Bulls	—	386	360	81	22	2	8	17	112	2	5	2	225	264	364	628	139	297	29	4	270	69	—	—	—	—	—	—
2008	22	AAA RAW	Durham Bulls	—	386	352	88	26	2	9	25	93	2	5	2	250	303	412	715	162	309	24	6	312	69	—	—	—	—	—	—
2009	23	AAA MLE	2 teams	—	546	513	131	31	4	8	22	103	3	7	7	255	290	378	668	123	302	19	4	291	83	—	—	—	—	—	—
2009	23	AAA RAW	2 teams	—	546	505	142	36	4	9	30	89	3	7	7	281	325	422	747	141	323	16	5	327	83	—	—	—	—	—	—
2010	24	MLB MLE	Tampa Bay Rays	—	326	304	76	13	1	8	17	77	3	3	3	250	296	378	675	128	308	24	5	302	91	-4	-1	+5	+1	+7	0.9
2010	24	MLB RAW	Tampa Bay Rays	—	326	301	77	13	1	8	20	77	3	3	3	256	309	385	694	130	317	24	6	309	91	-4	-1	+5	+1	+7	0.9
2011	25	MLB MLE	2 teams	—	312	291	57	6	1	2	14	70	1	3	2	196	235	244	479	48	251	22	4	215	31	-25	-0	+3	+3	+7	-1.3
2011	25	MLB RAW	2 teams	—	312	288	57	6	1	2	17	69	1	3	2	198	245	247	492	49	253	22	5	223	31	-25	-0	+3	+3	+7	-1.3
2012	26	AAA MLE	2 teams	—	422	382	76	12	2	6	31	99	3	3	3	199	264	288	552	89	251	23	7	249	54	—	—	—	—	—	—
2012	26	AAA RAW	2 teams	—	422	367	82	14	2	8	46	84	3	3	3	223	315	338	653	114	267	20	11	295	54	—	—	—	—	—	—
2013	27	AAA MLE	2 teams	—	292	265	49	11	0	2	17	75	4	2	1	185	245	249	494	64	247	26	6	223	37	—	—	—	—	—	—
2013	27	AAA RAW	2 teams	—	292	257	55	12	0	3	24	63	4	2	1	214	290	296	586	82	269	22	8	266	37	—	—	—	—	—	—
2014	28	AAA MLE	2 teams	—	240	215	51	12	2	6	19	68	0	4	1	237	299	395	694	158	312	28	8	297	87	—	—	—	—	—	—
2014	28	AAA RAW	2 teams	—	240	209	52	13	2	6	25	64	0	4	1	249	329	416	745	167	324	27	10	325	87	—	—	—	—	—	—
2015	29	AAA MLE	2 teams	—	415	373	80	15	1	4	32	84	2	3	1	214	280	292	572	78	264	20	8	254	58	—	—	—	—	—	—
2015	29	AAA RAW	2 teams	—	415	360	94	20	1	5	45	67	2	3	1	261	346	364	710	103	306	16	11	318	58	—	—	—	—	—	—
2016	30	AAA MLE	2 teams	—	453	411	90	19	1	6	33	112	4	6	3	219	283	314	597	95	285	25	7	266	66	—	—	—	—	—	—
2016	30	AAA RAW	2 teams	—	453	392	102	23	1	8	52	99	4	6	3	260	353	385	738	125	328	22	11	332	66	—	—	—	—	—	—
2017	31	AAA MLE	2 teams	—	483	439	83	14	2	11	30	167	6	4	1	189	251	305	556	116	271	35	6	240	49	—	—	—	—	—	—
2017	31	AAA RAW	2 teams	—	483	421	104	19	3	13	48	127	6	4	1	247	333	399	732	152	318	26	10	324	49	—	—	—	—	—	—
2005	19	A MLE	Southwest Michigan Devil Rays	—	565	527	112	22	2	12	29	178	4	5	5	213	261	330	591	118	286	32	5	255	59	—	—	—	—	—	—
2006	20	A+ MLE	2 teams	—	576	533	147	26	4	22	31	148	7	15	6	276	325	463	788	188	335	26	5	334	112	—	—	—	—	—	—
2007	21	AA MLE	Montgomery Biscuits	—	596	551	128	28	5	15	37	114	3	15	5	232	287	383	670	151	258	19	6	290	82	—	—	—	—	—	—
2008	22	AAA MLE	Durham Bulls	—	386	364	81	22	2	8	17	112	2	5	2	223	264	360	624	137	287	29	4	270	69	—	—	—	—	—	—
2009	23	AAA MLE	2 teams	—	546	516	131	31	4	8	22	103	3	7	7	254	290	376	666	122	298	19	4	291	83	—	—	—	—	—	—
2010	24	MLB MLE	Tampa Bay Rays	—	326	303	76	13	1	8	17	77	3	3	3	251	296	380	676	129	317	24	5	302	91	—	—	—	—	—	—
2011	25	MLB MLE	2 teams	—	312	294	57	6	1	2	14	70	1	3	2	194	235	241	477	48	252	22	4	215	31	—	—	—	—	—	—
2012	26	AAA MLE	2 teams	—	422	385	76	12	2	6	31	99	3	3	3	197	264	286	550	88	248	23	7	249	54	—	—	—	—	—	—
2013	27	AAA MLE	2 teams	—	292	269	49	11	0	2	17	75	4	2	1	182	245	245	490	63	240	26	6	223	37	—	—	—	—	—	—
2014	28	AAA MLE	2 teams	—	240	219	51	12	2	6	19	68	0	4	1	233	299	388	687	155	306	28	8	297	87	—	—	—	—	—	—
2015	29	AAA MLE	2 teams	—	415	378	80	15	1	4	32	84	2	3	1	212	280	288	568	77	255	20	8	254	58	—	—	—	—	—	—
2016	30	AAA MLE	2 teams	—	453	413	90	19	1	6	33	112	4	6	3	218	283	312	596	94	282	25	7	266	66	—	—	—	—	—	—
2017	31	AAA MLE	2 teams	—	483	444	83	14	2	11	30	167	6	4	1	187	251	302	552	115	262	35	6	240	49	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	940	876	194	36	4	12	50	241	4	9	7	221	267	313	579	91	291	26	5	260	70	-43	-1	+8	+22	+20	0.7
/ 162G	—	A+C		—	650	606	134	25	3	8	35	167	3	6	5	221	267	312	579	91	292	26	5	260	70	-30	-1	+6	+15	+14	0.5
Career	—	MLE		—	5612	5153	1161	231	27	110	329	1407	42	75	40	225	277	345	622	119	285	25	6	271	70	-43	-1	+8	+22	+20	0.7
/ 162G	—	MLE		—	650	597	135	27	3	13	38	163	5	9	5	226	279	347	625	121	286	25	6	271	70	-30	-1	+6	+15	+14	0.5

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.

2017 AAAFresno Grizzlies · 437 PAwOBA .322 → .240 (−82)K% 26.5% → 34.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	26.54%	÷0.992	×1.290	—	—	34.51%
BB% (unintentional) /PA	9.38%	÷1.028	×0.710	—	×0.962	6.23%
HBP% /PA	0.92%	—	×0.980	—	×0.962	0.86%
Singles /BIP	23.62%	÷0.978	×0.900	×0.950	×0.962	19.86%
Doubles /BIP	6.27%	÷0.926	×0.810	×0.950	×0.962	5.01%
Triples /BIP	1.11%	÷1.150	×0.810	×0.950	×0.962	0.71%
Home runs /BIP	4.80%	÷0.963	×0.780	—	×0.962	3.74%

Factors used: league row PCL. Park (home-season share, regressed): HR 93, 1B 96, 2B 85, 3B 130, K 98, BB 106 — 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 .322 → .240; ISO .160 → .116; BABIP .321 → .262. 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 AAAGwinnett Braves · 424 PAwOBA .331 → .270 (−61)K% 21.5% → 24.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.46%	÷1.046	×1.200	—	—	24.61%
BB% (unintentional) /PA	11.79%	÷1.022	×0.690	—	×0.972	7.74%
HBP% /PA	0.94%	—	×0.940	—	×0.972	0.86%
Singles /BIP	24.26%	÷1.017	×0.930	×0.986	×0.972	21.27%
Doubles /BIP	7.72%	÷0.991	×0.830	×0.986	×0.972	6.20%
Triples /BIP	0.37%	÷1.150	×0.970	×0.986	×0.972	0.30%
Home runs /BIP	2.94%	÷1.132	×0.840	—	×0.972	2.12%

Factors used: league row IL. Park (home-season share, regressed): HR 126, 1B 103, 2B 98, 3B 130, K 109, BB 104 — 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 ×0.986.

Result: wOBA .331 → .270; ISO .129 → .103; BABIP .331 → .282. 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 · 398 PAwOBA .318 → .257 (−61)K% 15.6% → 19.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.58%	÷1.016	×1.290	—	—	19.78%
BB% (unintentional) /PA	10.30%	÷0.997	×0.710	—	×0.982	7.20%
HBP% /PA	0.50%	—	×0.980	—	×0.982	0.48%
Singles /BIP	23.51%	÷0.969	×0.900	×0.954	×0.982	20.45%
Doubles /BIP	7.02%	÷1.012	×0.810	×0.954	×0.982	5.26%
Triples /BIP	0.35%	÷0.985	×0.810	×0.954	×0.982	0.27%
Home runs /BIP	1.75%	÷0.975	×0.780	—	×0.982	1.38%

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 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 ×0.954.

Result: wOBA .318 → .257; ISO .107 → .083; BABIP .311 → .261. 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 AAALehigh Valley IronPigs · 149 PAwOBA .341 → .306 (−36)K% 20.8% → 23.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.81%	÷1.050	×1.200	—	—	23.79%
BB% (unintentional) /PA	10.07%	÷0.970	×0.690	—	×0.992	7.10%
HBP% /PA	0.00%	—	×0.940	—	×0.992	0.00%
Singles /BIP	20.62%	÷1.006	×0.930	×1.006	×0.992	19.02%
Doubles /BIP	8.25%	÷0.999	×0.830	×1.006	×0.992	6.84%
Triples /BIP	1.03%	÷1.136	×0.970	×1.006	×0.992	0.88%
Home runs /BIP	5.15%	÷0.922	×0.840	—	×0.992	4.66%

Factors used: league row IL. Park (home-season share, regressed): HR 84, 1B 101, 2B 100, 3B 127, K 110, BB 94 — 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 ×1.006.

Result: wOBA .341 → .306; ISO .195 → .182; BABIP .305 → .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).

2013 AAAColorado Springs Sky Sox · 194 PAwOBA .288 → .232 (−56)K% 17.0% → 23.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.01%	÷0.941	×1.290	—	—	23.33%
BB% (unintentional) /PA	10.31%	÷1.000	×0.710	—	×1.003	7.34%
HBP% /PA	2.06%	—	×0.980	—	×1.003	2.03%
Singles /BIP	21.21%	÷1.031	×0.900	×0.972	×1.003	18.05%
Doubles /BIP	6.06%	÷0.967	×0.810	×0.972	×1.003	4.95%
Triples /BIP	0.00%	÷1.071	×0.810	×0.972	×1.003	0.00%
Home runs /BIP	1.52%	÷1.022	×0.780	—	×1.003	1.16%

Factors used: league row PCL. Park (home-season share, regressed): HR 104, 1B 106, 2B 93, 3B 114, K 88, BB 100 — 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 ×0.972.

Result: wOBA .288 → .232; ISO .085 → .067; BABIP .273 → .229. 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 AAADurham Bulls · 400 PAwOBA .299 → .256 (−44)K% 19.8% → 23.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.75%	÷1.008	×1.200	—	—	23.51%
BB% (unintentional) /PA	11.25%	÷1.046	×0.690	—	×1.018	7.55%
HBP% /PA	0.75%	—	×0.940	—	×1.018	0.72%
Singles /BIP	20.97%	÷0.987	×0.930	×0.989	×1.018	19.89%
Doubles /BIP	5.24%	÷0.998	×0.830	×0.989	×1.018	4.39%
Triples /BIP	0.75%	÷0.942	×0.970	×0.989	×1.018	0.78%
Home runs /BIP	3.00%	÷1.093	×0.840	—	×1.018	2.34%

Factors used: league row IL. Park (home-season share, regressed): HR 119, 1B 97, 2B 100, 3B 88, K 102, BB 109 — 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 ×0.989.

Result: wOBA .299 → .256; ISO .121 → .102; BABIP .276 → .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).

2011 AAADurham Bulls · 48 PAwOBA .319 → .300 (−19)K% 12.5% → 14.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.50%	÷1.051	×1.200	—	—	14.27%
BB% (unintentional) /PA	14.58%	÷0.938	×0.690	—	×1.033	11.08%
HBP% /PA	0.00%	—	×0.940	—	×1.033	0.00%
Singles /BIP	15.15%	÷0.969	×0.930	—	×1.033	15.02%
Doubles /BIP	6.06%	÷0.994	×0.830	—	×1.033	5.23%
Triples /BIP	3.03%	÷1.017	×0.970	—	×1.033	2.99%
Home runs /BIP	3.03%	÷0.960	×0.840	—	×1.033	2.74%

Factors used: league row IL. Park (home-season share, regressed): HR 92, 1B 94, 2B 99, 3B 103, K 110, BB 88 — 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 .319 → .300; ISO .179 → .178; BABIP .250 → .239. 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 AAADurham Bulls · 453 PAwOBA .322 → .284 (−38)K% 15.2% → 18.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.23%	÷1.000	×1.200	—	—	18.28%
BB% (unintentional) /PA	5.96%	÷1.000	×0.690	—	×1.050	4.32%
HBP% /PA	0.66%	—	×0.940	—	×1.050	0.65%
Singles /BIP	22.83%	÷1.000	×0.930	×0.955	×1.050	21.30%
Doubles /BIP	8.09%	÷1.000	×0.830	×0.955	×1.050	6.74%
Triples /BIP	0.58%	÷1.000	×0.970	×0.955	×1.050	0.56%
Home runs /BIP	2.31%	÷1.000	×0.840	—	×1.050	2.04%

Factors used: league row IL. 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 27.2 → +5.0% on BB/HBP/hit rates (4.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.955.

Result: wOBA .322 → .284; ISO .135 → .117; BABIP .318 → .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).

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