George Kottaras

PosC

B/TL/R

Born1983-05-10

Age (2027)44

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	31	AAATOR	96	.190/.284/.345	4	0	25	—	.146/.200/.258
2014	31	MLBTOR	38	.233/.361/.533	3	0	136	0.3
2015	32	AAATOR	181	.238/.374/.429	8	0	80	—	.208/.296/.365
2016	33	AAAGwinnett Brav…	130	.174/.308/.257	2	0	21	—	.128/.215/.171
2017	34	No MLB games played
2018	35	No MLB games played
2019	36	No MLB games played
2020	37	No MLB games played
2021	38	No MLB games played
2022	39	No MLB games played
2023	40	No MLB games played
2024	41	No MLB games played
2025	42	No MLB games played
2026	43	No MLB games played

Last 3 seasons WAR 0.3

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. Catcher framing: only 2027 Statcast framing is modeled (Baseball Savant server-caches the leaderboard to the current season); prior-year framing is unmodeled — projections for established framers may run 1-3 WAR low.

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	22	AA	Mobile BayBears	—	121	101	29	7	0	2	19	23	0	0	0	287	400	416	816	129	351	19	16	368	109	—	—	—	—	—	—
2005	22	A+	Lake Elsinore Storm	—	394	337	102	29	0	9	50	60	1	2	1	303	394	469	863	166	342	15	13	379	103	—	—	—	—	—	—
2006	23	AAA	Portland Beavers	—	133	119	25	10	1	2	12	30	1	0	0	210	288	361	649	151	261	23	9	290	45	—	—	—	—	—	—
2006	23	AA	Mobile BayBears	—	310	257	71	19	1	8	50	68	1	0	1	276	396	451	847	175	344	22	16	378	99	—	—	—	—	—	—
2007	24	AAA	Pawtucket Red Sox	—	334	294	71	22	0	9	32	71	2	1	1	241	320	408	728	167	284	21	10	320	77	—	—	—	—	—	—
2008	25	AAA	Pawtucket Red Sox	—	462	395	96	18	0	22	64	110	1	0	0	243	350	456	806	213	279	24	14	357	84	—	—	—	—	—	—
2009	26	MLB	Boston Red Sox	—	107	93	22	11	0	1	11	25	0	0	0	237	317	387	704	151	300	23	10	308	94	-1	+0	+0	+2	+2	0.4
2009	26	AAA	Pawtucket Red Sox	—	30	24	7	3	0	0	6	6	0	0	0	292	433	417	850	125	389	20	20	389	103	—	—	—	—	—	—
2010	27	MLB	Milwaukee Brewers	—	250	212	43	12	1	9	33	44	0	2	0	203	310	396	706	193	209	18	13	311	96	-1	+0	-3	+4	+5	0.6
2011	28	MLB	Milwaukee Brewers	—	123	111	28	6	1	5	10	26	0	0	1	252	314	459	774	207	284	21	8	335	114	+2	-0	-3	+4	+3	0.5
2011	28	AAA	Nashville Sounds	—	118	102	35	8	1	4	16	29	0	0	1	343	432	559	991	216	449	25	14	435	116	—	—	—	—	—	—
2012	29	MLB	Oakland Athletics	—	209	171	36	6	1	9	37	48	0	0	0	211	351	415	766	205	237	23	18	344	122	+6	+0	-3	+4	+5	1.2
2013	30	MLB	Kansas City Royals	—	126	100	18	4	0	5	24	42	2	1	0	180	349	370	719	190	245	33	19	333	109	+1	+0	-4	+2	+3	0.3
2014	31	MLB	Toronto Blue Jays	—	38	30	7	0	0	3	6	16	0	0	0	233	361	533	894	300	333	42	16	370	136	+2	+0	-2	+2	+1	0.3
2014	31	AAA	Buffalo Bisons	—	96	84	16	1	0	4	11	32	0	0	0	190	284	345	629	155	250	33	11	284	25	—	—	—	—	—	—
2015	32	AAA	Buffalo Bisons	—	181	147	35	4	0	8	32	56	0	0	0	238	374	429	803	190	321	31	18	359	80	—	—	—	—	—	—
2016	33	AAA	Gwinnett Braves	—	130	109	19	3	0	2	21	38	0	0	0	174	308	257	565	83	246	29	16	272	21	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	853	717	154	39	3	32	121	201	2	3	1	215	330	411	741	197	247	24	14	328	108	+8	+0	-14	+20	+18	3.3
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2005	22	AA MLE	Mobile BayBears	—	121	107	30	7	0	2	13	28	0	0	0	280	358	402	760	121	349	23	11	330	109	—	—	—	—	—	—
2005	22	A+ MLE	Lake Elsinore Storm	—	394	352	92	24	0	8	35	80	1	2	1	261	330	398	728	136	307	20	9	320	103	—	—	—	—	—	—
2006	23	AAA MLE	Portland Beavers	—	133	122	22	8	1	2	9	39	1	0	0	180	242	311	554	131	236	29	7	235	45	—	—	—	—	—	—
2006	23	AA MLE	Mobile BayBears	—	310	275	67	18	1	7	32	83	1	0	1	244	325	393	717	149	314	27	10	315	99	—	—	—	—	—	—
2007	24	AAA MLE	Pawtucket Red Sox	—	334	304	68	20	0	8	22	85	2	1	1	224	280	368	649	145	271	25	7	282	77	—	—	—	—	—	—
2008	25	AAA MLE	Pawtucket Red Sox	—	462	416	86	15	0	19	43	132	1	0	0	207	283	380	662	173	251	29	9	293	84	—	—	—	—	—	—
2009	26	MLB MLE	Boston Red Sox	—	107	93	22	11	0	1	11	25	0	0	0	237	317	387	704	151	300	23	10	308	94	-1	+0	+0	+2	+2	0.4
2009	26	AAA MLE	Pawtucket Red Sox	—	30	26	7	3	0	0	4	7	0	0	0	269	367	385	751	115	351	23	13	320	103	—	—	—	—	—	—
2010	27	MLB MLE	Milwaukee Brewers	—	250	213	44	13	1	9	32	44	0	2	0	207	310	404	714	197	209	18	13	310	96	-1	+0	-3	+4	+5	0.6
2011	28	MLB MLE	Milwaukee Brewers	—	123	111	28	6	1	5	10	26	0	0	1	252	314	459	774	207	284	21	8	336	114	+2	-0	-3	+4	+3	0.5
2011	28	AAA MLE	Nashville Sounds	—	118	106	30	6	1	3	12	36	0	0	1	283	356	443	799	160	395	31	10	339	116	—	—	—	—	—	—
2012	29	MLB MLE	Oakland Athletics	—	209	172	37	6	1	10	36	48	0	0	0	215	351	436	787	221	237	23	17	349	122	+6	+0	-3	+4	+5	1.2
2013	30	MLB MLE	Kansas City Royals	—	126	102	18	4	0	5	22	42	2	1	0	176	333	363	696	186	245	33	17	329	109	+1	+0	-4	+2	+3	0.3
2014	31	MLB MLE	Toronto Blue Jays	—	38	30	7	0	0	3	6	16	0	0	0	233	361	533	894	300	333	42	16	369	136	+2	+0	-2	+2	+1	0.3
2014	31	AAA MLE	Buffalo Bisons	—	96	89	13	1	0	3	6	41	0	0	0	146	200	258	458	112	218	43	6	205	25	—	—	—	—	—	—
2015	32	AAA MLE	Buffalo Bisons	—	181	159	33	4	0	7	20	67	0	0	0	208	296	365	661	157	291	37	11	287	80	—	—	—	—	—	—
2016	33	AAA MLE	Gwinnett Braves	—	130	117	15	2	0	1	13	44	0	0	0	128	215	171	386	43	205	34	10	199	21	—	—	—	—	—	—
2005	22	A+ MLE	2 teams	—	515	460	121	31	0	10	47	108	1	2	1	263	333	396	728	133	320	21	9	322	104	—	—	—	—	—	—
2005	22	A+ RAW	2 teams	—	515	438	131	36	0	11	69	83	1	2	1	299	396	457	852	158	344	16	13	377	104	—	—	—	—	—	—
2006	23	AA MLE	2 teams	—	443	397	88	26	2	8	41	122	2	0	1	222	298	358	655	136	296	28	9	291	83	—	—	—	—	—	—
2006	23	AA RAW	2 teams	—	443	376	96	29	2	10	62	98	2	0	1	255	364	423	787	168	317	22	14	352	83	—	—	—	—	—	—
2007	24	AAA MLE	Pawtucket Red Sox	—	334	304	68	20	0	8	22	85	2	1	1	224	280	368	649	145	279	25	7	282	77	—	—	—	—	—	—
2007	24	AAA RAW	Pawtucket Red Sox	—	334	294	71	22	0	9	32	71	2	1	1	241	320	408	728	167	284	21	10	320	77	—	—	—	—	—	—
2008	25	AAA MLE	Pawtucket Red Sox	—	462	416	86	15	0	19	43	132	1	0	0	207	283	380	662	173	251	29	9	293	84	—	—	—	—	—	—
2008	25	AAA RAW	Pawtucket Red Sox	—	462	395	96	18	0	22	64	110	1	0	0	243	350	456	806	213	279	24	14	357	84	—	—	—	—	—	—
2009	26	MLB MLE	2 teams	—	137	119	29	14	0	1	15	32	0	0	0	244	328	387	715	143	315	23	11	310	96	-1	+0	+0	+2	+3	0.5
2009	26	MLB RAW	2 teams	—	137	117	29	14	0	1	17	31	0	0	0	248	343	393	736	145	318	23	12	325	96	-1	+0	+0	+2	+3	0.5
2010	27	MLB MLE	Milwaukee Brewers	—	250	213	44	13	1	9	32	44	0	2	0	207	310	404	714	197	213	18	13	310	96	-1	+0	-3	+4	+5	0.6
2010	27	MLB RAW	Milwaukee Brewers	—	250	212	43	12	1	9	33	44	0	2	0	203	310	396	706	193	209	18	13	311	96	-1	+0	-3	+4	+5	0.6
2011	28	MLB MLE	2 teams	—	241	217	59	13	2	8	22	62	0	0	2	272	339	461	800	189	345	26	9	337	115	+4	-1	-3	+4	+5	1.0
2011	28	MLB RAW	2 teams	—	241	213	63	14	2	9	26	55	0	0	2	296	372	507	879	211	360	23	11	384	115	+4	-1	-3	+4	+5	1.0
2012	29	MLB MLE	Oakland Athletics	—	209	172	37	6	1	10	36	48	0	0	0	215	351	436	787	221	237	23	17	349	122	+6	+0	-3	+4	+5	1.2
2012	29	MLB RAW	Oakland Athletics	—	209	171	36	6	1	9	37	48	0	0	0	211	351	415	766	205	237	23	18	344	122	+6	+0	-3	+4	+5	1.2
2013	30	MLB MLE	Kansas City Royals	—	126	102	18	4	0	5	22	42	2	1	0	176	333	363	696	186	236	33	17	329	109	+1	+0	-4	+2	+3	0.3
2013	30	MLB RAW	Kansas City Royals	—	126	100	18	4	0	5	24	42	2	1	0	180	349	370	719	190	245	33	19	333	109	+1	+0	-4	+2	+3	0.3
2014	31	AAA MLE	2 teams	—	134	119	20	1	0	6	12	57	0	0	0	168	244	328	572	160	246	43	9	252	56	—	—	—	—	—	—
2014	31	AAA RAW	2 teams	—	134	114	23	1	0	7	17	48	0	0	0	202	305	395	700	193	267	36	13	308	56	—	—	—	—	—	—
2015	32	AAA MLE	Buffalo Bisons	—	181	159	33	4	0	7	20	67	0	0	0	208	296	365	661	157	302	37	11	287	80	—	—	—	—	—	—
2015	32	AAA RAW	Buffalo Bisons	—	181	147	35	4	0	8	32	56	0	0	0	238	374	429	803	190	321	31	18	359	80	—	—	—	—	—	—
2016	33	AAA MLE	Gwinnett Braves	—	130	117	15	2	0	1	13	44	0	0	0	128	215	171	386	43	194	34	10	199	21	—	—	—	—	—	—
2016	33	AAA RAW	Gwinnett Braves	—	130	109	19	3	0	2	21	38	0	0	0	174	308	257	565	83	246	29	16	272	21	—	—	—	—	—	—
2005	22	A+ MLE	2 teams	—	515	462	121	31	0	10	47	108	1	2	1	262	333	394	727	132	317	21	9	322	104	—	—	—	—	—	—
2006	23	AA MLE	2 teams	—	443	397	88	26	2	8	41	122	2	0	1	222	298	358	655	136	291	28	9	291	83	—	—	—	—	—	—
2007	24	AAA MLE	Pawtucket Red Sox	—	334	307	68	20	0	8	22	85	2	1	1	221	280	365	645	143	271	25	7	282	77	—	—	—	—	—	—
2008	25	AAA MLE	Pawtucket Red Sox	—	462	415	86	15	0	19	43	132	1	0	0	207	283	381	663	173	251	29	9	293	84	—	—	—	—	—	—
2009	26	MLB MLE	2 teams	—	137	121	29	14	0	1	15	32	0	0	0	240	328	380	709	140	311	23	11	310	96	—	—	—	—	—	—
2010	27	MLB MLE	Milwaukee Brewers	—	250	216	44	13	1	9	32	44	0	2	0	204	310	398	708	194	209	18	13	310	96	—	—	—	—	—	—
2011	28	MLB MLE	2 teams	—	241	217	59	13	2	8	22	62	0	0	2	272	339	461	800	189	338	26	9	337	115	—	—	—	—	—	—
2012	29	MLB MLE	Oakland Athletics	—	209	171	37	6	1	10	36	48	0	0	0	216	351	439	790	222	237	23	17	349	122	—	—	—	—	—	—
2013	30	MLB MLE	Kansas City Royals	—	126	101	18	4	0	5	22	42	2	1	0	178	333	366	700	188	245	33	17	329	109	—	—	—	—	—	—
2014	31	AAA MLE	2 teams	—	134	121	20	1	0	6	12	57	0	0	0	165	244	322	567	157	251	43	9	252	56	—	—	—	—	—	—
2015	32	AAA MLE	Buffalo Bisons	—	181	159	33	4	0	7	20	67	0	0	0	208	296	365	661	157	291	37	11	287	80	—	—	—	—	—	—
2016	33	AAA MLE	Gwinnett Braves	—	130	116	15	2	0	1	13	44	0	0	0	129	215	172	388	43	205	34	10	199	21	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	853	717	154	39	3	32	121	201	2	3	1	215	330	411	741	197	247	24	14	328	90	+8	+0	-14	+20	+18	3.3
/ 162G	—	A+C		—	650	546	117	30	2	24	92	153	2	2	1	214	330	408	738	194	247	24	14	328	90	+6	+0	-11	+15	+14	2.5
Career	—	MLE		—	3162	2795	618	149	6	92	325	843	8	6	5	221	304	377	681	156	279	27	10	301	90	+8	+0	-14	+20	+18	3.3
/ 162G	—	MLE		—	650	575	127	31	1	19	67	173	2	1	1	221	305	377	682	157	278	27	10	301	90	+6	+0	-11	+15	+14	2.5

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.

2016 AAAGwinnett Braves · 130 PAwOBA .266 → .199 (−66)K% 29.2% → 33.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	29.23%	÷1.046	×1.200	—	—	33.52%
BB% (unintentional) /PA	16.15%	÷1.022	×0.690	—	×0.942	10.27%
HBP% /PA	0.00%	—	×0.940	—	×0.942	0.00%
Singles /BIP	19.72%	÷1.017	×0.930	×0.991	×0.942	16.83%
Doubles /BIP	4.23%	÷0.991	×0.830	×0.991	×0.942	3.30%
Triples /BIP	0.00%	÷1.150	×0.970	×0.991	×0.942	0.00%
Home runs /BIP	2.82%	÷1.132	×0.840	—	×0.942	1.97%

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 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 ×0.991.

Result: wOBA .266 → .199; ISO .083 → .062; BABIP .246 → .205. 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 AAABuffalo Bisons · 181 PAwOBA .350 → .287 (−63)K% 30.9% → 36.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	30.94%	÷1.008	×1.200	—	—	36.84%
BB% (unintentional) /PA	17.13%	÷1.040	×0.690	—	×0.952	10.81%
HBP% /PA	0.00%	—	×0.940	—	×0.952	0.00%
Singles /BIP	25.27%	÷0.981	×0.930	×1.029	×0.952	23.48%
Doubles /BIP	4.40%	÷0.944	×0.830	×1.029	×0.952	3.79%
Triples /BIP	0.00%	÷0.900	×0.970	×1.029	×0.952	0.00%
Home runs /BIP	8.79%	÷0.966	×0.840	—	×0.952	7.27%

Factors used: league row IL. Park (home-season share, regressed): HR 93, 1B 96, 2B 89, 3B 80, K 102, BB 108 — applied at half strength. Age: age 32 vs a level average of 27.2 → −4.8% on BB/HBP/hit rates (4.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.029.

Result: wOBA .350 → .287; ISO .190 → .165; BABIP .321 → .291. 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 AAABuffalo Bisons · 96 PAwOBA .272 → .205 (−67)K% 33.3% → 42.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	33.33%	÷0.942	×1.200	—	—	42.47%
BB% (unintentional) /PA	10.42%	÷1.041	×0.690	—	×0.962	6.64%
HBP% /PA	0.00%	—	×0.940	—	×0.962	0.00%
Singles /BIP	21.15%	÷0.968	×0.930	×0.969	×0.962	18.95%
Doubles /BIP	1.92%	÷0.985	×0.830	×0.969	×0.962	1.51%
Triples /BIP	0.00%	÷1.150	×0.970	×0.969	×0.962	0.00%
Home runs /BIP	7.69%	÷1.006	×0.840	—	×0.962	6.18%

Factors used: league row IL. Park (home-season share, regressed): HR 101, 1B 94, 2B 97, 3B 130, K 88, BB 108 — 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 ×0.969.

Result: wOBA .272 → .205; ISO .155 → .117; BABIP .250 → .218. 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 AAANashville Sounds · 118 PAwOBA .423 → .339 (−84)K% 24.6% → 30.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.58%	÷1.035	×1.290	—	—	30.64%
BB% (unintentional) /PA	13.56%	÷0.950	×0.710	—	×0.992	10.05%
HBP% /PA	0.00%	—	×0.980	—	×0.992	0.00%
Singles /BIP	30.14%	÷0.980	×0.900	×1.022	×0.992	28.06%
Doubles /BIP	10.96%	÷1.024	×0.810	×1.022	×0.992	8.79%
Triples /BIP	1.37%	÷1.150	×0.810	×1.022	×0.992	0.98%
Home runs /BIP	5.48%	÷1.028	×0.780	—	×0.992	4.12%

Factors used: league row PCL. Park (home-season share, regressed): HR 106, 1B 96, 2B 105, 3B 130, K 107, BB 90 — 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 ×1.022.

Result: wOBA .423 → .339; ISO .216 → .159; BABIP .449 → .395. 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 AAAPawtucket Red Sox · 30 PAwOBA .380 → .320 (−60)K% 20.0% → 24.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.00%	÷1.000	×1.200	—	—	24.00%
BB% (unintentional) /PA	20.00%	÷1.000	×0.690	—	×1.018	14.05%
HBP% /PA	0.00%	—	×0.940	—	×1.018	0.00%
Singles /BIP	22.22%	÷1.000	×0.930	—	×1.018	21.04%
Doubles /BIP	16.67%	÷1.000	×0.830	—	×1.018	14.08%
Triples /BIP	0.00%	÷1.000	×0.970	—	×1.018	0.00%
Home runs /BIP	0.00%	÷1.000	×0.840	—	×1.018	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 26 vs a level average of 27.2 → +1.8% on BB/HBP/hit rates (1.2 yr younger than average).

Result: wOBA .380 → .320; ISO .125 → .109; BABIP .389 → .351. 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 AAAPawtucket Red Sox · 462 PAwOBA .347 → .293 (−54)K% 23.8% → 28.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.81%	÷1.000	×1.200	—	—	28.57%
BB% (unintentional) /PA	13.20%	÷1.000	×0.690	—	×1.033	9.41%
HBP% /PA	0.22%	—	×0.940	—	×1.033	0.21%
Singles /BIP	19.65%	÷1.000	×0.930	×0.973	×1.033	18.36%
Doubles /BIP	6.32%	÷1.000	×0.830	×0.973	×1.033	5.27%
Triples /BIP	0.00%	÷1.000	×0.970	×0.973	×1.033	0.00%
Home runs /BIP	7.72%	÷1.000	×0.840	—	×1.033	6.70%

Factors used: league row IL. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 25 vs a level average of 27.2 → +3.3% on BB/HBP/hit rates (2.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.973.

Result: wOBA .347 → .293; ISO .213 → .183; BABIP .279 → .251. 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 AAAPawtucket Red Sox · 334 PAwOBA .314 → .282 (−33)K% 21.3% → 25.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.26%	÷1.000	×1.200	—	—	25.51%
BB% (unintentional) /PA	9.28%	÷1.000	×0.690	—	×1.048	6.71%
HBP% /PA	0.60%	—	×0.940	—	×1.048	0.59%
Singles /BIP	17.94%	÷1.000	×0.930	×1.021	×1.048	17.86%
Doubles /BIP	9.87%	÷1.000	×0.830	×1.021	×1.048	8.77%
Triples /BIP	0.00%	÷1.000	×0.970	×1.021	×1.048	0.00%
Home runs /BIP	4.04%	÷1.000	×0.840	—	×1.048	3.55%

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 ×1.021.

Result: wOBA .314 → .282; ISO .167 → .148; BABIP .284 → .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).

2006 AAMobile BayBears · 310 PAwOBA .367 → .315 (−52)K% 21.9% → 26.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.94%	÷1.000	×1.220	—	—	26.76%
BB% (unintentional) /PA	14.84%	÷1.000	×0.680	—	×1.027	10.36%
HBP% /PA	0.32%	—	×0.840	—	×1.027	0.28%
Singles /BIP	22.75%	÷1.000	×0.920	×0.976	×1.027	20.98%
Doubles /BIP	10.05%	÷1.000	×0.910	×0.976	×1.027	9.17%
Triples /BIP	0.53%	÷1.000	×0.880	×0.976	×1.027	0.47%
Home runs /BIP	4.23%	÷1.000	×0.800	—	×1.027	3.48%

Factors used: league row SL. 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 24.8 → +2.7% on BB/HBP/hit rates (1.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.976.

Result: wOBA .367 → .315; ISO .175 → .155; BABIP .344 → .314. 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).