Anthony Recker

PosC

B/TR/R

Born1983-08-29

Age (2027)43

No MLB projection yet. Career stats below are historical.

Overview

AAALAST SEASON 2018

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2016	32	AAAGwinnett Brav…	230	.244/.349/.421	8	1	59	—	.192/.266/.322
2016	32	MLBATL	112	.278/.398/.433	2	1	126	0.8
2017	33	AAAWSH	234	.244/.316/.392	4	1	44	—	.186/.242/.293
2018	34	AAAARI	293	.276/.361/.537	15	0	60	—	.182/.244/.346
2019	35	No MLB games played
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 0.8

Contract

No contract data on file.

Skills · percentileStatcast 2015-2017

xwOBA85

Barrel%71

Avg EV40

Speed36

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)
2006	22	A	Kane County Cougars	—	453	407	117	24	3	14	42	115	3	5	5	287	358	464	823	177	369	25	9	364	71	—	—	—	—	—	—
2007	23	AA	Midland RockHounds	—	219	201	41	12	0	4	17	63	1	0	1	204	269	323	593	119	276	29	8	269	30	—	—	—	—	—	—
2007	23	A+	Stockton Ports	—	244	207	66	17	2	13	27	48	5	2	0	319	410	609	1.019	290	351	20	11	432	124	—	—	—	—	—	—
2008	24	AA	Midland RockHounds	—	482	430	118	29	4	11	43	140	5	1	2	274	347	437	784	163	381	29	9	347	72	—	—	—	—	—	—
2009	25	AAA	Sacramento River Cats	—	306	272	71	11	2	12	28	80	2	2	0	261	334	449	783	188	326	26	9	343	70	—	—	—	—	—	—
2009	25	AA	Midland RockHounds	—	65	57	17	4	0	3	8	22	0	0	0	298	385	526	911	228	438	34	12	400	90	—	—	—	—	—	—
2010	26	AAA	Sacramento River Cats	—	276	250	72	18	2	10	22	62	0	0	1	288	346	496	842	208	341	22	8	364	83	—	—	—	—	—	—
2010	26	AA	Midland RockHounds	—	47	38	8	1	0	1	7	12	2	1	0	211	362	316	677	105	280	26	15	322	55	—	—	—	—	—	—
2011	27	MLB	Oakland Athletics	—	21	17	3	1	0	0	4	7	0	0	0	176	333	235	569	59	300	33	19	280	75	-1	+0	-1	+8	+0	0.7
2011	27	AAA	Sacramento River Cats	—	412	345	99	24	1	16	56	81	4	7	5	287	393	501	894	214	328	20	14	389	99	—	—	—	—	—	—
2012	28	MLB	Chicago Cubs	—	58	49	7	2	0	1	6	15	2	0	0	143	263	245	508	102	182	26	10	240	49	-4	+0	-1	+6	+1	0.2
2012	28	AAA	Iowa Cubs	—	238	207	55	8	0	9	30	58	1	3	1	266	361	435	796	169	329	24	13	357	68	—	—	—	—	—	—
2012	28	AA	Tennessee Smokies	—	15	15	3	1	0	1	0	7	0	0	0	200	200	467	667	267	286	47	0	285	3	—	—	—	—	—	—
2013	29	MLB	New York Mets	—	151	135	29	7	0	6	13	49	0	0	1	215	284	400	684	185	280	32	9	298	89	-2	-0	-5	+3	+3	-0.1
2014	30	MLB	New York Mets	—	189	174	35	9	0	7	10	64	1	1	1	201	249	374	622	172	267	34	5	270	73	-6	-0	-6	+3	+4	-0.5
2015	31	MLB	New York Mets	—	92	80	10	1	0	2	11	35	1	1	0	125	239	212	452	87	186	38	12	219	26	-8	+0	-4	+4	+2	-0.7
2015	31	AAA	Las Vegas 51s	—	108	94	23	3	1	8	12	26	2	0	0	245	343	553	896	309	250	24	11	388	68	—	—	—	—	—	—
2016	32	MLB	Atlanta Braves	—	112	90	25	8	0	2	16	22	2	1	0	278	398	433	831	156	343	20	14	363	126	+4	+0	-5	+6	+2	0.8
2016	32	AAA	Gwinnett Braves	—	230	197	48	11	0	8	30	62	2	1	0	244	349	421	771	178	312	27	13	345	59	—	—	—	—	—	—
2017	33	AAA	Rochester Red Wings	—	234	209	51	17	1	4	15	63	7	1	0	244	316	392	708	148	324	27	6	315	44	—	—	—	—	—	—
2018	34	AAA	Reno Aces	—	293	257	71	20	1	15	32	73	2	0	1	276	361	537	898	261	327	25	11	389	60	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	623	545	109	28	0	18	60	192	6	3	2	200	286	350	637	150	268	31	10	284	78	-16	-0	-21	+29	+13	0.5
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2006	22	A MLE	Kane County Cougars	—	453	422	93	18	2	10	27	156	3	5	5	220	272	344	616	123	324	34	6	273	71	—	—	—	—	—	—
2007	23	AA MLE	Midland RockHounds	—	219	206	35	10	0	3	12	77	1	0	1	170	219	262	481	92	253	35	5	213	30	—	—	—	—	—	—
2007	23	A+ MLE	Stockton Ports	—	244	215	55	13	1	12	19	64	5	2	0	256	331	493	824	237	294	26	8	351	124	—	—	—	—	—	—
2008	24	AA MLE	Midland RockHounds	—	482	443	100	23	4	8	30	171	5	1	2	226	282	350	632	124	338	35	6	275	72	—	—	—	—	—	—
2009	25	AAA MLE	Sacramento River Cats	—	306	280	61	9	2	9	20	103	2	2	0	218	275	361	636	143	298	34	7	272	70	—	—	—	—	—	—
2009	25	AA MLE	Midland RockHounds	—	65	59	13	3	0	2	6	27	0	0	0	220	292	373	665	153	380	42	9	301	90	—	—	—	—	—	—
2010	26	AAA MLE	Sacramento River Cats	—	276	258	61	15	2	8	14	77	0	0	1	236	276	403	679	167	292	28	5	291	83	—	—	—	—	—	—
2010	26	AA MLE	Midland RockHounds	—	47	40	7	1	0	1	5	16	2	1	0	175	298	275	573	100	242	34	11	250	55	—	—	—	—	—	—
2011	27	MLB MLE	Oakland Athletics	—	21	17	3	1	0	0	4	7	0	0	0	176	333	235	569	59	300	33	19	279	75	-1	+0	-1	+8	+0	0.7
2011	27	AAA MLE	Sacramento River Cats	—	412	363	86	21	1	13	38	102	4	7	5	237	316	408	724	171	278	25	9	315	99	—	—	—	—	—	—
2012	28	MLB MLE	Chicago Cubs	—	58	49	7	2	0	1	6	15	2	0	0	143	263	245	508	102	182	26	10	240	49	-4	+0	-1	+6	+1	0.2
2012	28	AAA MLE	Iowa Cubs	—	238	215	42	5	0	8	22	74	1	3	1	195	273	330	603	135	263	31	9	268	68	—	—	—	—	—	—
2012	28	AA MLE	Tennessee Smokies	—	15	15	3	1	0	1	0	9	0	0	0	200	200	467	667	267	239	60	0	173	3	—	—	—	—	—	—
2013	29	MLB MLE	New York Mets	—	151	136	29	7	0	6	12	49	0	0	1	213	277	397	674	184	280	32	8	300	89	-2	-0	-5	+3	+3	-0.1
2014	30	MLB MLE	New York Mets	—	189	174	36	10	0	7	10	64	1	1	1	207	254	385	639	178	267	34	5	276	73	-6	-0	-6	+3	+4	-0.5
2015	31	MLB MLE	New York Mets	—	92	82	10	1	0	2	9	35	1	1	0	122	217	207	425	85	186	38	10	207	26	-8	+0	-4	+4	+2	-0.7
2015	31	AAA MLE	Las Vegas 51s	—	108	98	17	2	1	5	8	34	2	0	0	173	250	367	617	194	205	31	7	268	68	—	—	—	—	—	—
2016	32	MLB MLE	Atlanta Braves	—	112	91	25	8	0	2	15	22	2	1	0	275	389	429	817	154	343	20	13	355	126	+4	+0	-5	+6	+2	0.8
2016	32	AAA MLE	Gwinnett Braves	—	230	208	40	9	0	6	19	71	2	1	0	192	266	322	588	130	252	31	8	256	59	—	—	—	—	—	—
2017	33	AAA MLE	Rochester Red Wings	—	234	215	40	12	1	3	9	76	7	1	0	186	242	293	535	107	254	32	4	233	44	—	—	—	—	—	—
2018	34	AAA MLE	Reno Aces	—	293	269	49	12	1	10	20	95	2	0	1	182	244	346	590	164	234	32	7	257	60	—	—	—	—	—	—
2006	22	A MLE	Kane County Cougars	—	453	422	93	18	2	10	27	156	3	5	5	220	272	344	616	123	323	34	6	273	71	—	—	—	—	—	—
2006	22	A RAW	Kane County Cougars	—	453	407	117	24	3	14	42	115	3	5	5	287	358	464	823	177	369	25	9	364	71	—	—	—	—	—	—
2007	23	A+ MLE	2 teams	—	463	421	91	23	1	15	31	141	6	2	1	216	279	382	662	166	281	30	7	286	80	—	—	—	—	—	—
2007	23	A+ RAW	2 teams	—	463	408	107	29	2	17	44	111	6	2	1	262	343	468	811	206	316	24	10	355	80	—	—	—	—	—	—
2008	24	AA MLE	Midland RockHounds	—	482	443	100	23	4	8	30	171	5	1	2	226	282	350	632	124	346	35	6	275	72	—	—	—	—	—	—
2008	24	AA RAW	Midland RockHounds	—	482	430	118	29	4	11	43	140	5	1	2	274	347	437	784	163	381	29	9	347	72	—	—	—	—	—	—
2009	25	AAA MLE	2 teams	—	371	339	75	12	2	11	26	130	2	2	0	221	281	366	646	145	322	35	7	277	74	—	—	—	—	—	—
2009	25	AAA RAW	2 teams	—	371	329	88	15	2	15	36	102	2	2	0	267	343	462	805	195	343	27	10	353	74	—	—	—	—	—	—
2010	26	AAA MLE	2 teams	—	323	298	68	16	2	9	19	93	2	1	1	228	279	386	665	158	295	29	6	285	79	—	—	—	—	—	—
2010	26	AAA RAW	2 teams	—	323	288	80	19	2	11	29	74	2	1	1	278	348	472	820	194	333	23	9	358	79	—	—	—	—	—	—
2011	27	AAA MLE	2 teams	—	433	380	89	22	1	13	42	109	4	7	5	234	317	400	717	166	289	25	10	313	98	—	—	—	—	—	—
2011	27	AAA RAW	2 teams	—	433	362	102	25	1	16	60	88	4	7	5	282	390	489	879	207	327	20	14	384	98	—	—	—	—	—	—
2012	28	AAA MLE	3 teams	—	311	279	51	8	0	9	28	98	3	3	1	183	265	308	573	125	244	32	9	258	61	—	—	—	—	—	—
2012	28	AAA RAW	3 teams	—	311	271	65	11	0	11	36	80	3	3	1	240	335	402	738	162	300	26	12	332	61	—	—	—	—	—	—
2013	29	MLB MLE	New York Mets	—	151	136	29	7	0	6	12	49	0	0	1	213	277	397	674	184	277	32	8	300	89	-2	-0	-5	+3	+3	-0.1
2013	29	MLB RAW	New York Mets	—	151	135	29	7	0	6	13	49	0	0	1	215	284	400	684	185	280	32	9	298	89	-2	-0	-5	+3	+3	-0.1
2014	30	MLB MLE	New York Mets	—	189	174	36	10	0	7	10	64	1	1	1	207	254	385	639	178	276	34	5	276	73	-6	-0	-6	+3	+4	-0.5
2014	30	MLB RAW	New York Mets	—	189	174	35	9	0	7	10	64	1	1	1	201	249	374	622	172	267	34	5	270	73	-6	-0	-6	+3	+4	-0.5
2015	31	AAA MLE	2 teams	—	200	180	27	3	1	7	17	69	3	1	0	150	235	294	529	144	192	34	8	240	49	—	—	—	—	—	—
2015	31	AAA RAW	2 teams	—	200	174	33	4	1	10	23	61	3	1	0	190	295	397	692	207	223	30	12	311	49	—	—	—	—	—	—
2016	32	AAA MLE	2 teams	—	342	299	64	16	0	8	34	93	4	2	0	214	303	348	650	134	280	27	10	288	81	—	—	—	—	—	—
2016	32	AAA RAW	2 teams	—	342	287	73	19	0	10	46	84	4	2	0	254	365	425	790	171	323	25	13	351	81	—	—	—	—	—	—
2017	33	AAA MLE	Rochester Red Wings	—	234	215	40	12	1	3	9	76	7	1	0	186	242	293	535	107	266	32	4	233	44	—	—	—	—	—	—
2017	33	AAA RAW	Rochester Red Wings	—	234	209	51	17	1	4	15	63	7	1	0	244	316	392	708	148	324	27	6	315	44	—	—	—	—	—	—
2018	34	AAA MLE	Reno Aces	—	293	269	49	12	1	10	20	95	2	0	1	182	244	346	590	164	235	32	7	257	60	—	—	—	—	—	—
2018	34	AAA RAW	Reno Aces	—	293	257	71	20	1	15	32	73	2	0	1	276	361	537	898	261	327	25	11	389	60	—	—	—	—	—	—
2006	22	A MLE	Kane County Cougars	—	453	420	93	18	2	10	27	156	3	5	5	221	272	345	617	124	324	34	6	273	71	—	—	—	—	—	—
2007	23	A+ MLE	2 teams	—	463	423	91	23	1	15	31	141	6	2	1	215	279	381	660	165	275	30	7	286	80	—	—	—	—	—	—
2008	24	AA MLE	Midland RockHounds	—	482	444	100	23	4	8	30	171	5	1	2	225	282	349	632	124	338	35	6	275	72	—	—	—	—	—	—
2009	25	AAA MLE	2 teams	—	371	340	75	12	2	11	26	130	2	2	0	221	281	365	645	144	312	35	7	277	74	—	—	—	—	—	—
2010	26	AAA MLE	2 teams	—	323	299	68	16	2	9	19	93	2	1	1	227	279	385	664	157	285	29	6	285	79	—	—	—	—	—	—
2011	27	AAA MLE	2 teams	—	433	384	89	22	1	13	42	109	4	7	5	232	317	396	713	164	279	25	10	313	98	—	—	—	—	—	—
2012	28	AAA MLE	3 teams	—	311	277	51	8	0	9	28	98	3	3	1	184	265	310	575	126	247	32	9	258	61	—	—	—	—	—	—
2013	29	MLB MLE	New York Mets	—	151	138	29	7	0	6	12	49	0	0	1	210	277	391	668	181	280	32	8	300	89	—	—	—	—	—	—
2014	30	MLB MLE	New York Mets	—	189	176	36	10	0	7	10	64	1	1	1	205	254	381	635	176	267	34	5	276	73	—	—	—	—	—	—
2015	31	AAA MLE	2 teams	—	200	178	27	3	1	7	17	69	3	1	0	152	235	298	533	146	196	34	8	240	49	—	—	—	—	—	—
2016	32	AAA MLE	2 teams	—	342	301	64	16	0	8	34	93	4	2	0	213	303	346	648	133	282	27	10	288	81	—	—	—	—	—	—
2017	33	AAA MLE	Rochester Red Wings	—	234	216	40	12	1	3	9	76	7	1	0	185	242	292	534	106	254	32	4	233	44	—	—	—	—	—	—
2018	34	AAA MLE	Reno Aces	—	293	269	49	12	1	10	20	95	2	0	1	182	244	346	590	164	234	32	7	257	60	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	623	545	109	28	0	18	60	192	6	3	2	200	286	350	637	150	268	31	10	284	73	-16	-0	-21	+29	+13	0.5
/ 162G	—	A+C		—	650	569	114	29	0	19	63	200	6	3	2	200	287	351	638	151	268	31	10	284	73	-17	-0	-22	+30	+14	0.5
Career	—	MLE		—	4245	3855	812	182	15	116	305	1344	42	26	18	211	276	356	632	145	287	32	7	276	73	-16	-0	-21	+29	+13	0.5
/ 162G	—	MLE		—	650	590	124	28	2	18	47	206	6	4	3	210	275	356	631	146	286	32	7	276	73	-17	-0	-22	+30	+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.

2018 AAAReno Aces · 293 PAwOBA .381 → .257 (−124)K% 24.9% → 32.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.91%	÷0.991	×1.290	—	—	32.44%
BB% (unintentional) /PA	10.92%	÷1.069	×0.710	—	×0.940	6.82%
HBP% /PA	0.68%	—	×0.980	—	×0.940	0.63%
Singles /BIP	19.02%	÷1.024	×0.900	×0.951	×0.940	14.95%
Doubles /BIP	10.87%	÷1.117	×0.810	×0.951	×0.940	7.05%
Triples /BIP	0.54%	÷1.150	×0.810	×0.951	×0.940	0.34%
Home runs /BIP	8.15%	÷1.044	×0.780	—	×0.940	5.73%

Factors used: league row PCL. Park (home-season share, regressed): HR 109, 1B 105, 2B 123, 3B 130, K 98, BB 114 — 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 ×0.951.

Result: wOBA .381 → .257; ISO .261 → .171; BABIP .327 → .234. 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 AAARochester Red Wings · 234 PAwOBA .310 → .233 (−77)K% 26.9% → 32.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	26.92%	÷0.997	×1.200	—	—	32.40%
BB% (unintentional) /PA	6.41%	÷1.080	×0.690	—	×0.940	3.85%
HBP% /PA	2.99%	—	×0.940	—	×0.940	2.64%
Singles /BIP	19.86%	÷1.019	×0.930	×0.977	×0.940	16.64%
Doubles /BIP	11.64%	÷1.085	×0.830	×0.977	×0.940	8.18%
Triples /BIP	0.68%	÷1.085	×0.970	×0.977	×0.940	0.56%
Home runs /BIP	2.74%	÷0.956	×0.840	—	×0.940	2.26%

Factors used: league row IL. Park (home-season share, regressed): HR 91, 1B 104, 2B 117, 3B 117, K 99, BB 116 — applied at half strength. Age: age 34 vs a level average of 27.2 → −6.0% on BB/HBP/hit rates (6.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.977.

Result: wOBA .310 → .233; ISO .148 → .110; BABIP .324 → .254. 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 · 230 PAwOBA .338 → .256 (−82)K% 27.0% → 30.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	26.96%	÷1.046	×1.200	—	—	30.91%
BB% (unintentional) /PA	13.04%	÷1.022	×0.690	—	×0.942	8.29%
HBP% /PA	0.87%	—	×0.940	—	×0.942	0.77%
Singles /BIP	21.48%	÷1.017	×0.930	×0.974	×0.942	18.03%
Doubles /BIP	8.15%	÷0.991	×0.830	×0.974	×0.942	6.26%
Triples /BIP	0.00%	÷1.150	×0.970	×0.974	×0.942	0.00%
Home runs /BIP	5.93%	÷1.132	×0.840	—	×0.942	4.14%

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 ×0.974.

Result: wOBA .338 → .256; ISO .178 → .131; BABIP .312 → .252. 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 AAALas Vegas 51s · 108 PAwOBA .377 → .268 (−110)K% 24.1% → 31.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.07%	÷0.977	×1.290	—	—	31.78%
BB% (unintentional) /PA	11.11%	÷1.010	×0.710	—	×0.952	7.43%
HBP% /PA	1.85%	—	×0.980	—	×0.952	1.73%
Singles /BIP	16.18%	÷0.983	×0.900	×1.024	×0.952	14.43%
Doubles /BIP	4.41%	÷1.042	×0.810	×1.024	×0.952	3.34%
Triples /BIP	1.47%	÷1.061	×0.810	×1.024	×0.952	1.09%
Home runs /BIP	11.76%	÷1.099	×0.780	—	×0.952	7.95%

Factors used: league row PCL. Park (home-season share, regressed): HR 120, 1B 97, 2B 108, 3B 112, K 95, BB 102 — 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 ×1.024.

Result: wOBA .377 → .268; ISO .309 → .199; BABIP .250 → .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).

2012 AAAIowa Cubs · 238 PAwOBA .348 → .268 (−80)K% 24.4% → 31.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.37%	÷1.004	×1.290	—	—	31.32%
BB% (unintentional) /PA	12.61%	÷0.938	×0.710	—	×0.982	9.37%
HBP% /PA	0.42%	—	×0.980	—	×0.982	0.40%
Singles /BIP	25.50%	÷1.028	×0.900	×0.957	×0.982	20.98%
Doubles /BIP	5.37%	÷1.049	×0.810	×0.957	×0.982	3.89%
Triples /BIP	0.00%	÷0.953	×0.810	×0.957	×0.982	0.00%
Home runs /BIP	6.04%	÷0.863	×0.780	—	×0.982	5.36%

Factors used: league row PCL. Park (home-season share, regressed): HR 73, 1B 106, 2B 110, 3B 91, K 101, BB 88 — 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 ×0.957.

Result: wOBA .348 → .268; ISO .169 → .135; BABIP .329 → .263. 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 · 15 PAwOBA .275 → .173 (−102)K% 46.7% → 58.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	46.67%	÷0.976	×1.220	—	—	58.34%
BB% (unintentional) /PA	0.00%	÷0.983	×0.680	—	×0.958	0.00%
HBP% /PA	0.00%	—	×0.840	—	×0.958	0.00%
Singles /BIP	12.50%	÷0.991	×0.920	—	×0.958	11.12%
Doubles /BIP	12.50%	÷1.033	×0.910	—	×0.958	10.55%
Triples /BIP	0.00%	÷1.082	×0.880	—	×0.958	0.00%
Home runs /BIP	12.50%	÷1.028	×0.800	—	×0.958	9.32%

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 29 vs a level average of 24.8 → −4.2% on BB/HBP/hit rates (4.2 yr older than average).

Result: wOBA .275 → .173; ISO .267 → .160; BABIP .286 → .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).

2011 AAASacramento River Cats · 412 PAwOBA .382 → .315 (−67)K% 19.7% → 24.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.66%	÷1.021	×1.290	—	—	24.84%
BB% (unintentional) /PA	13.11%	÷0.991	×0.710	—	×0.992	9.31%
HBP% /PA	0.97%	—	×0.980	—	×0.992	0.94%
Singles /BIP	21.97%	÷0.995	×0.900	×0.963	×0.992	18.99%
Doubles /BIP	9.09%	÷0.916	×0.810	×0.963	×0.992	7.68%
Triples /BIP	0.38%	÷1.048	×0.810	×0.963	×0.992	0.28%
Home runs /BIP	6.06%	÷0.936	×0.780	—	×0.992	5.01%

Factors used: league row PCL. Park (home-season share, regressed): HR 87, 1B 99, 2B 83, 3B 110, K 104, BB 98 — 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 ×0.963.

Result: wOBA .382 → .315; ISO .214 → .180; BABIP .328 → .278. 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 AAASacramento River Cats · 276 PAwOBA .358 → .291 (−67)K% 22.5% → 27.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.46%	÷1.038	×1.290	—	—	27.93%
BB% (unintentional) /PA	7.61%	÷1.067	×0.710	—	×1.003	5.08%
HBP% /PA	0.00%	—	×0.980	—	×1.003	0.00%
Singles /BIP	22.34%	÷0.998	×0.900	×0.962	×1.003	19.45%
Doubles /BIP	9.57%	÷0.920	×0.810	×0.962	×1.003	8.14%
Triples /BIP	1.06%	÷0.900	×0.810	×0.962	×1.003	0.92%
Home runs /BIP	5.32%	÷0.950	×0.780	—	×1.003	4.38%

Factors used: league row PCL. Park (home-season share, regressed): HR 90, 1B 100, 2B 84, 3B 80, K 108, BB 113 — 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 ×0.962.

Result: wOBA .358 → .291; ISO .208 → .171; BABIP .341 → .292. 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).