Grégor Blanco

PosCF

B/TL/L

Born1983-12-24

Age (2027)43

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	33	MLBARI	256	.246/.337/.357	3	15	94	0.7
2018	34	AAA/INTL2 orgs	253	.247/.345/.370	4	3	67	—	.202/.264/.298
2018	34	MLBSF	203	.217/.264/.317	2	6	64	-1.1
2019	35	AAANYM	426	.246/.344/.406	13	11	60	—	.192/.262/.318
2020	36	No MLB games played
2021	37	No MLB games played
2022	38	No MLB games played
2023	39	No MLB games played
2024	40	No MLB games played
2025	41	No MLB games played
2026	42	No MLB games played

Last 3 seasons WAR -0.3

Contract

No contract data on file.

Skills · percentileStatcast 2016-2018

Speed73

xwOBA25

Barrel%10

Avg EV10

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	21	AA	Mississippi Braves	—	486	401	101	11	12	6	73	124	2	28	12	252	370	384	754	132	347	26	15	337	87	—	—	—	—	—	—
2006	22	AAA	Richmond Braves	—	327	269	79	12	1	0	52	53	0	14	9	294	408	346	754	52	366	16	16	346	102	—	—	—	—	—	—
2006	22	AA	Mississippi Braves	—	302	251	72	16	3	0	43	57	3	17	6	287	397	375	772	88	371	19	14	350	99	—	—	—	—	—	—
2007	23	AAA	Richmond Braves	—	545	464	131	18	5	3	63	85	2	23	18	282	371	362	733	80	339	16	12	326	95	—	—	—	—	—	—
2008	24	MLB	Atlanta Braves	—	519	430	108	14	4	1	74	99	6	13	5	251	369	309	678	58	321	19	14	314	97	-2	+1	-1	-6	+11	0.3
2009	25	MLB	Atlanta Braves	—	48	43	8	0	1	0	4	9	0	2	0	186	255	233	488	47	235	19	8	224	38	-4	+0	-1	+2	+1	-0.1
2009	25	AAA	Gwinnett Braves	—	397	333	76	9	1	2	50	70	1	10	3	228	331	279	610	51	277	18	13	279	58	—	—	—	—	—	—
2010	26	MLB	Kansas City Royals	—	269	237	67	9	4	1	29	50	0	11	4	283	361	367	728	84	353	19	11	328	107	+2	+1	+1	+2	+6	1.2
2010	26	AAA	Gwinnett Braves	—	187	154	44	8	0	1	23	28	1	9	1	286	382	357	739	71	344	15	12	325	84	—	—	—	—	—	—
2010	26	INTL	Tiburones de La Guaira	—	191	149	42	6	1	1	35	30	2	11	4	282	425	356	780	74	347	16	18	356	127	—	—	—	—	—	—
2011	27	AAA	Syracuse Chiefs	—	252	199	40	12	2	3	44	50	2	24	2	201	351	327	678	126	252	20	17	309	64	—	—	—	—	—	—
2011	27	INTL	Tiburones de La Guaira	—	252	196	66	14	5	4	47	46	6	18	7	337	478	520	998	184	425	18	19	438	183	—	—	—	—	—	—
2012	28	MLB	San Francisco Giants	—	453	393	96	14	5	5	51	104	2	26	6	244	334	344	678	99	318	23	11	306	94	-3	+3	+2	-6	+10	0.5
2012	28	INTL	Tiburones de La Guaira	—	80	70	23	1	1	1	10	18	0	4	2	329	412	414	827	86	431	22	12	376	140	—	—	—	—	—	—
2013	29	MLB	San Francisco Giants	—	511	452	120	17	6	3	52	95	1	14	9	265	343	350	692	84	328	19	10	313	97	-2	-1	+5	+2	+11	1.6
2014	30	MLB	San Francisco Giants	—	444	393	102	18	6	5	41	77	3	16	5	260	334	374	708	115	311	17	9	315	101	+1	+1	+2	+2	+10	1.5
2015	31	MLB	San Francisco Giants	—	372	327	95	19	3	5	40	59	2	13	5	291	371	413	784	122	338	16	11	351	118	+8	+1	-4	+1	+8	1.4
2016	32	MLB	San Francisco Giants	—	274	241	54	10	4	1	29	51	1	6	3	224	309	311	620	87	279	19	11	283	73	-9	+0	-4	-3	+6	-1.0
2017	33	MLB	Arizona Diamondbacks	—	256	224	55	10	3	3	31	59	0	15	1	246	337	357	694	112	321	23	12	316	94	-2	+3	-0	+1	+6	0.7
2017	33	A+	Visalia Rawhide	—	20	18	7	1	0	0	2	5	0	4	0	389	450	444	894	56	538	25	10	405	80	—	—	—	—	—	—
2018	34	MLB	San Francisco Giants	—	203	189	41	7	3	2	12	58	0	6	2	217	264	317	581	101	300	29	6	259	64	-9	+0	-2	-5	+4	-1.1
2018	34	AAA	Sacramento River Cats	—	194	170	42	7	2	4	23	40	0	2	1	247	337	382	719	135	302	21	12	324	54	—	—	—	—	—	—
2018	34	INTL	Tiburones de La Guaira	—	59	49	12	2	1	0	10	10	0	1	3	245	373	327	699	82	308	17	17	327	108	—	—	—	—	—	—
2019	35	AAA	Syracuse Mets	—	426	362	89	13	3	13	52	94	2	11	8	246	344	406	750	160	291	22	12	330	60	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	3349	2929	746	118	39	26	363	661	15	122	40	255	340	348	688	94	319	20	11	311	97	-13	+8	-2	-9	+73	5.7
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2005	21	AA MLE	Mississippi Braves	—	486	423	101	11	12	5	51	151	2	28	12	239	324	357	681	118	343	31	10	297	87	—	—	—	—	—	—
2006	22	AAA MLE	Richmond Braves	—	327	284	84	12	1	0	37	63	0	14	9	296	377	345	722	49	369	19	11	319	102	—	—	—	—	—	—
2006	22	AA MLE	Mississippi Braves	—	302	264	73	16	3	0	30	69	3	17	6	277	357	360	717	83	367	23	10	315	99	—	—	—	—	—	—
2007	23	AAA MLE	Richmond Braves	—	545	481	138	17	6	3	46	102	2	23	18	287	352	366	718	79	342	19	8	308	95	—	—	—	—	—	—
2008	24	MLB MLE	Atlanta Braves	—	519	432	108	14	4	1	72	99	6	13	5	250	365	308	673	58	321	19	14	312	97	-2	+1	-1	-6	+11	0.3
2009	25	MLB MLE	Atlanta Braves	—	48	43	8	0	1	0	4	9	0	2	0	186	255	233	488	47	235	19	8	224	38	-4	+0	-1	+2	+1	-0.1
2009	25	AAA MLE	Gwinnett Braves	—	397	348	78	8	1	2	35	84	1	10	3	224	297	270	567	46	271	21	9	254	58	—	—	—	—	—	—
2010	26	MLB MLE	Kansas City Royals	—	269	238	67	9	4	1	28	50	0	11	4	282	357	366	723	84	353	19	10	326	107	+2	+1	+1	+2	+6	1.2
2010	26	AAA MLE	Gwinnett Braves	—	187	161	45	8	0	1	16	35	1	9	1	280	348	348	696	68	323	19	9	292	84	—	—	—	—	—	—
2011	27	AAA MLE	Syracuse Chiefs	—	252	213	40	11	2	3	30	61	2	24	2	188	294	300	594	113	236	24	12	263	64	—	—	—	—	—	—
2012	28	MLB MLE	San Francisco Giants	—	453	395	97	14	5	5	49	104	2	26	6	246	332	344	676	99	318	23	11	307	94	-3	+3	+2	-6	+10	0.5
2013	29	MLB MLE	San Francisco Giants	—	511	456	121	17	6	3	48	95	1	14	9	265	337	349	685	83	328	19	9	311	97	-2	-1	+5	+2	+11	1.6
2014	30	MLB MLE	San Francisco Giants	—	444	394	103	18	6	5	40	77	3	16	5	261	334	376	710	114	311	17	9	318	101	+1	+1	+2	+2	+10	1.5
2015	31	MLB MLE	San Francisco Giants	—	372	334	96	19	3	5	33	59	2	13	5	287	355	407	762	120	338	16	9	343	118	+8	+1	-4	+1	+8	1.4
2016	32	MLB MLE	San Francisco Giants	—	274	246	55	10	4	1	25	51	1	6	3	224	298	309	607	85	279	19	9	276	73	-9	+0	-4	-3	+6	-1.0
2017	33	MLB MLE	Arizona Diamondbacks	—	256	224	53	9	2	3	31	59	0	15	1	237	329	335	664	98	321	23	12	307	94	-2	+3	-0	+1	+6	0.7
2017	33	A+ MLE	Visalia Rawhide	—	20	19	6	1	0	0	1	7	0	4	0	316	350	368	718	53	446	35	5	286	80	—	—	—	—	—	—
2018	34	MLB MLE	San Francisco Giants	—	203	189	41	7	3	2	12	58	0	6	2	217	264	317	581	101	300	29	6	263	64	-9	+0	-2	-5	+4	-1.1
2018	34	AAA MLE	Sacramento River Cats	—	194	178	36	6	1	3	15	48	0	2	1	202	264	298	562	96	256	25	8	248	54	—	—	—	—	—	—
2019	35	AAA MLE	Syracuse Mets	—	426	380	73	9	3	11	34	111	2	11	8	192	262	318	580	126	227	26	8	257	60	—	—	—	—	—	—
2005	21	AA MLE	Mississippi Braves	—	486	423	101	11	12	5	51	151	2	28	12	239	324	357	681	118	356	31	10	297	87	—	—	—	—	—	—
2005	21	AA RAW	Mississippi Braves	—	486	401	101	11	12	6	73	124	2	28	12	252	370	384	754	132	347	26	15	337	87	—	—	—	—	—	—
2006	22	AAA MLE	2 teams	—	629	548	157	28	4	0	67	133	3	31	15	286	367	352	720	66	378	21	11	317	101	—	—	—	—	—	—
2006	22	AAA RAW	2 teams	—	629	520	151	28	4	0	95	110	3	31	15	290	403	360	763	69	368	17	15	348	101	—	—	—	—	—	—
2007	23	AAA MLE	Richmond Braves	—	545	481	138	17	6	3	46	102	2	23	18	287	352	366	718	79	357	19	8	308	95	—	—	—	—	—	—
2007	23	AAA RAW	Richmond Braves	—	545	464	131	18	5	3	63	85	2	23	18	282	371	362	733	80	339	16	12	326	95	—	—	—	—	—	—
2008	24	MLB MLE	Atlanta Braves	—	519	432	108	14	4	1	72	99	6	13	5	250	365	308	673	58	319	19	14	312	97	-2	+1	-1	-6	+11	0.3
2008	24	MLB RAW	Atlanta Braves	—	519	430	108	14	4	1	74	99	6	13	5	251	369	309	678	58	321	19	14	314	97	-2	+1	-1	-6	+11	0.3
2009	25	AAA MLE	2 teams	—	445	391	86	8	2	2	39	93	1	12	3	220	292	266	558	46	278	21	9	251	56	—	—	—	—	—	—
2009	25	AAA RAW	2 teams	—	445	376	84	9	2	2	54	79	1	12	3	223	323	274	596	51	272	18	12	273	56	—	—	—	—	—	—
2010	26	MLB MLE	3 teams	—	647	565	159	24	5	3	62	120	3	31	9	281	356	358	713	76	352	19	10	312	97	-2	+3	+1	+2	+14	1.8
2010	26	MLB RAW	3 teams	—	647	540	153	23	5	3	87	108	3	31	9	283	386	361	747	78	349	17	13	336	97	-2	+3	+1	+2	+14	1.8
2011	27	AAA MLE	2 teams	—	504	427	81	22	5	6	59	122	8	42	9	190	300	307	606	117	250	24	12	263	64	—	—	—	—	—	—
2011	27	AAA RAW	2 teams	—	504	395	106	26	7	7	91	96	8	42	9	268	415	423	838	154	338	19	18	374	64	—	—	—	—	—	—
2012	28	MLB MLE	2 teams	—	533	466	114	16	6	6	58	122	2	30	8	245	331	343	674	99	318	23	11	307	94	-4	+3	+2	-6	+12	0.7
2012	28	MLB RAW	2 teams	—	533	463	119	15	6	6	61	122	2	30	8	257	346	354	700	97	335	23	11	317	94	-4	+3	+2	-6	+12	0.7
2013	29	MLB MLE	San Francisco Giants	—	511	456	121	17	6	3	48	95	1	14	9	265	337	349	685	83	327	19	9	311	97	-2	-1	+5	+2	+11	1.6
2013	29	MLB RAW	San Francisco Giants	—	511	452	120	17	6	3	52	95	1	14	9	265	343	350	692	84	328	19	10	313	97	-2	-1	+5	+2	+11	1.6
2014	30	MLB MLE	San Francisco Giants	—	444	394	103	18	6	5	40	77	3	16	5	261	334	376	710	114	313	17	9	318	101	+1	+1	+2	+2	+10	1.5
2014	30	MLB RAW	San Francisco Giants	—	444	393	102	18	6	5	41	77	3	16	5	260	334	374	708	115	311	17	9	315	101	+1	+1	+2	+2	+10	1.5
2015	31	MLB MLE	San Francisco Giants	—	372	334	96	19	3	5	33	59	2	13	5	287	355	407	762	120	333	16	9	343	118	+8	+1	-4	+1	+8	1.4
2015	31	MLB RAW	San Francisco Giants	—	372	327	95	19	3	5	40	59	2	13	5	291	371	413	784	122	338	16	11	351	118	+8	+1	-4	+1	+8	1.4
2016	32	MLB MLE	San Francisco Giants	—	274	246	55	10	4	1	25	51	1	6	3	224	298	309	607	85	277	19	9	276	73	-9	+0	-4	-3	+6	-1.0
2016	32	MLB RAW	San Francisco Giants	—	274	241	54	10	4	1	29	51	1	6	3	224	309	311	620	87	279	19	11	283	73	-9	+0	-4	-3	+6	-1.0
2017	33	MLB MLE	2 teams	—	276	243	58	10	2	3	32	66	0	19	1	239	327	333	661	95	316	24	12	305	93	-2	+3	-0	+1	+6	0.8
2017	33	MLB RAW	2 teams	—	276	242	62	11	3	3	33	64	0	19	1	256	345	364	709	107	337	23	12	322	93	-2	+3	-0	+1	+6	0.8
2018	34	MLB MLE	3 teams	—	456	422	89	15	5	6	31	122	0	9	6	211	265	313	578	102	281	27	7	256	59	-22	-1	-2	-5	+10	-2.0
2018	34	MLB RAW	3 teams	—	456	408	95	16	6	6	45	108	0	9	6	233	309	346	655	113	302	24	10	295	59	-22	-1	-2	-5	+10	-2.0
2019	35	AAA MLE	Syracuse Mets	—	426	380	73	9	3	11	34	111	2	11	8	192	262	318	580	126	235	26	8	257	60	—	—	—	—	—	—
2019	35	AAA RAW	Syracuse Mets	—	426	362	89	13	3	13	52	94	2	11	8	246	344	406	750	160	291	22	12	330	60	—	—	—	—	—	—
2005	21	AA MLE	Mississippi Braves	—	486	430	101	11	12	5	51	151	2	28	12	235	324	351	675	116	343	31	10	297	87	—	—	—	—	—	—
2006	22	AAA MLE	2 teams	—	629	554	157	28	4	0	67	133	3	31	15	283	367	348	716	65	368	21	11	317	101	—	—	—	—	—	—
2007	23	AAA MLE	Richmond Braves	—	545	492	138	17	6	3	46	102	2	23	18	280	352	358	709	77	342	19	8	308	95	—	—	—	—	—	—
2008	24	MLB MLE	Atlanta Braves	—	519	436	108	14	4	1	72	99	6	13	5	248	365	305	670	57	321	19	14	312	97	—	—	—	—	—	—
2009	25	AAA MLE	2 teams	—	445	402	86	8	2	2	39	93	1	12	3	214	292	259	551	45	267	21	9	251	56	—	—	—	—	—	—
2010	26	MLB MLE	3 teams	—	647	577	159	24	5	3	62	120	3	31	9	276	356	350	706	75	341	19	10	312	97	—	—	—	—	—	—
2011	27	AAA MLE	2 teams	—	504	432	81	22	5	6	59	122	8	42	9	188	300	303	603	116	236	24	12	263	64	—	—	—	—	—	—
2012	28	MLB MLE	2 teams	—	533	468	114	16	6	6	58	122	2	30	8	244	331	342	673	98	318	23	11	307	94	—	—	—	—	—	—
2013	29	MLB MLE	San Francisco Giants	—	511	457	121	17	6	3	48	95	1	14	9	265	337	348	685	83	328	19	9	311	97	—	—	—	—	—	—
2014	30	MLB MLE	San Francisco Giants	—	444	398	103	18	6	5	40	77	3	16	5	259	334	372	706	113	311	17	9	318	101	—	—	—	—	—	—
2015	31	MLB MLE	San Francisco Giants	—	372	334	96	19	3	5	33	59	2	13	5	287	355	407	762	120	338	16	9	343	118	—	—	—	—	—	—
2016	32	MLB MLE	San Francisco Giants	—	274	246	55	10	4	1	25	51	1	6	3	224	298	309	607	85	279	19	9	276	73	—	—	—	—	—	—
2017	33	MLB MLE	2 teams	—	276	242	58	10	2	3	32	66	0	19	1	240	327	335	662	95	330	24	12	305	93	—	—	—	—	—	—
2018	34	MLB MLE	3 teams	—	456	422	89	15	5	6	31	122	0	9	6	211	265	313	578	102	278	27	7	256	59	—	—	—	—	—	—
2019	35	AAA MLE	Syracuse Mets	—	426	387	73	9	3	11	34	111	2	11	8	189	262	313	575	124	227	26	8	257	60	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	3349	2929	746	118	39	26	363	661	15	122	40	255	340	348	688	94	319	20	11	311	87	-13	+8	-2	-9	+73	5.7
/ 162G	—	A+C		—	650	568	145	23	8	5	70	128	3	24	8	255	340	350	690	95	320	20	11	311	87	-2	+2	-0	-2	+14	1.1
Career	—	MLE		—	7067	6208	1539	238	73	60	697	1523	36	298	116	248	327	339	666	91	318	22	10	297	87	-13	+8	-2	-9	+73	5.7
/ 162G	—	MLE		—	650	571	142	22	7	6	64	140	3	27	11	249	328	343	671	95	318	22	10	297	87	-2	+2	-0	-2	+14	1.1

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 AAASyracuse Mets · 426 PAwOBA .325 → .257 (−69)K% 22.1% → 26.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.07%	÷1.020	×1.200	—	—	25.97%
BB% (unintentional) /PA	11.97%	÷0.966	×0.690	—	×0.940	8.04%
HBP% /PA	0.47%	—	×0.940	—	×0.940	0.41%
Singles /BIP	22.39%	÷1.042	×0.930	×0.950	×0.940	17.85%
Doubles /BIP	4.85%	÷1.060	×0.830	×0.950	×0.940	3.39%
Triples /BIP	1.12%	÷0.900	×0.970	×0.950	×0.940	1.08%
Home runs /BIP	4.85%	÷0.960	×0.840	—	×0.940	3.99%

Factors used: league row IL. Park (home-season share, regressed): HR 92, 1B 108, 2B 112, 3B 80, K 104, BB 93 — applied at half strength. Age: age 36 vs a level average of 27.2 → −6.0% on BB/HBP/hit rates (8.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .325 → .257; ISO .160 → .135; BABIP .291 → .227. 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 AAASacramento River Cats · 194 PAwOBA .316 → .248 (−68)K% 20.6% → 24.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.62%	÷1.071	×1.290	—	—	24.83%
BB% (unintentional) /PA	11.86%	÷1.043	×0.710	—	×0.940	7.59%
HBP% /PA	0.00%	—	×0.980	—	×0.940	0.00%
Singles /BIP	22.31%	÷0.963	×0.900	×0.997	×0.940	19.52%
Doubles /BIP	5.38%	÷0.910	×0.810	×0.997	×0.940	4.49%
Triples /BIP	1.54%	÷1.150	×0.810	×0.997	×0.940	1.02%
Home runs /BIP	3.08%	÷0.998	×0.780	—	×0.940	2.26%

Factors used: league row PCL. Park (home-season share, regressed): HR 100, 1B 93, 2B 82, 3B 130, K 114, BB 109 — applied at half strength. Age: age 35 vs a level average of 27.2 → −6.0% on BB/HBP/hit rates (7.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.997.

Result: wOBA .316 → .248; ISO .135 → .103; BABIP .302 → .256. 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 A+Visalia Rawhide · 20 PAwOBA .395 → .286 (−109)K% 25.0% → 35.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.00%	÷0.952	×1.340	—	—	35.18%
BB% (unintentional) /PA	10.00%	÷0.996	×0.710	—	×0.940	6.70%
HBP% /PA	0.00%	—	×0.790	—	×0.940	0.00%
Singles /BIP	46.15%	÷1.016	×0.910	—	×0.940	38.85%
Doubles /BIP	7.69%	÷1.038	×0.820	—	×0.940	5.71%
Triples /BIP	0.00%	÷0.900	×0.760	—	×0.940	0.00%
Home runs /BIP	0.00%	÷1.048	×0.920	—	×0.940	0.00%

Factors used: league row CAL. Park (home-season share, regressed): HR 110, 1B 103, 2B 108, 3B 80, K 90, BB 99 — applied at half strength. Age: age 34 vs a level average of 22.8 → −6.0% on BB/HBP/hit rates (11.2 yr older than average).

Result: wOBA .395 → .286; ISO .056 → .037; BABIP .538 → .446. 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 AAASyracuse Chiefs · 252 PAwOBA .303 → .263 (−40)K% 19.8% → 24.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.84%	÷0.986	×1.200	—	—	24.16%
BB% (unintentional) /PA	17.46%	÷1.012	×0.690	—	×0.992	11.81%
HBP% /PA	0.79%	—	×0.940	—	×0.992	0.74%
Singles /BIP	15.44%	÷1.000	×0.930	×1.050	×0.992	14.96%
Doubles /BIP	8.05%	÷1.018	×0.830	×1.050	×0.992	6.84%
Triples /BIP	1.34%	÷0.900	×0.970	×1.050	×0.992	1.51%
Home runs /BIP	2.01%	÷0.921	×0.840	—	×0.992	1.82%

Factors used: league row IL. Park (home-season share, regressed): HR 84, 1B 100, 2B 104, 3B 80, K 97, BB 102 — 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 ×1.050.

Result: wOBA .303 → .263; ISO .126 → .123; BABIP .252 → .236. 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 AAAGwinnett Braves · 187 PAwOBA .317 → .292 (−26)K% 15.0% → 18.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.97%	÷0.964	×1.200	—	—	18.65%
BB% (unintentional) /PA	12.30%	÷1.026	×0.690	—	×1.003	8.29%
HBP% /PA	0.53%	—	×0.940	—	×1.003	0.50%
Singles /BIP	27.78%	÷1.032	×0.930	×1.050	×1.003	26.36%
Doubles /BIP	6.35%	÷0.968	×0.830	×1.050	×1.003	5.74%
Triples /BIP	0.00%	÷1.150	×0.970	×1.050	×1.003	0.00%
Home runs /BIP	0.79%	÷0.921	×0.840	—	×1.003	0.73%

Factors used: league row IL. Park (home-season share, regressed): HR 84, 1B 106, 2B 94, 3B 130, K 93, BB 105 — 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 ×1.050.

Result: wOBA .317 → .292; ISO .071 → .070; BABIP .344 → .323. 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 AAAGwinnett Braves · 397 PAwOBA .277 → .254 (−23)K% 17.6% → 21.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.63%	÷1.000	×1.200	—	—	21.16%
BB% (unintentional) /PA	12.59%	÷1.000	×0.690	—	×1.018	8.85%
HBP% /PA	0.25%	—	×0.940	—	×1.018	0.24%
Singles /BIP	24.33%	÷1.000	×0.930	×1.045	×1.018	24.08%
Doubles /BIP	3.42%	÷1.000	×0.830	×1.045	×1.018	3.02%
Triples /BIP	0.38%	÷1.000	×0.970	×1.045	×1.018	0.39%
Home runs /BIP	0.76%	÷1.000	×0.840	—	×1.018	0.65%

Factors used: league row IL. 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 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 ×1.045.

Result: wOBA .277 → .254; ISO .051 → .048; BABIP .277 → .271. 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 AAARichmond Braves · 545 PAwOBA .320 → .308 (−12)K% 15.6% → 18.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.60%	÷1.000	×1.200	—	—	18.72%
BB% (unintentional) /PA	11.56%	÷1.000	×0.690	—	×1.048	8.36%
HBP% /PA	0.37%	—	×0.940	—	×1.048	0.36%
Singles /BIP	27.70%	÷1.000	×0.930	×1.050	×1.048	28.35%
Doubles /BIP	4.75%	÷1.000	×0.830	×1.050	×1.048	4.34%
Triples /BIP	1.32%	÷1.000	×0.970	×1.050	×1.048	1.41%
Home runs /BIP	0.79%	÷1.000	×0.840	—	×1.048	0.70%

Factors used: league row IL. 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 27.2 → +4.8% on BB/HBP/hit rates (3.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .320 → .308; ISO .080 → .079; BABIP .339 → .342. 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).

2006 AAARichmond Braves · 327 PAwOBA .337 → .319 (−18)K% 16.2% → 19.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.21%	÷1.000	×1.200	—	—	19.45%
BB% (unintentional) /PA	15.60%	÷1.000	×0.690	—	×1.050	11.30%
HBP% /PA	0.00%	—	×0.940	—	×1.050	0.00%
Singles /BIP	30.56%	÷1.000	×0.930	×1.050	×1.050	31.33%
Doubles /BIP	5.56%	÷1.000	×0.830	×1.050	×1.050	5.08%
Triples /BIP	0.46%	÷1.000	×0.970	×1.050	×1.050	0.50%
Home runs /BIP	0.00%	÷1.000	×0.840	—	×1.050	0.00%

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 ×1.050.

Result: wOBA .337 → .319; ISO .052 → .051; BABIP .366 → .369. 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 — .