Antoan Richardson

PosRF

B/TS/R

Born1983-10-08

Age (2027)43

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	30	AAAScranton/Wilk…	315	.271/.384/.364	3	26	86	—	.249/.338/.323
2014	30	MLBNYY	17	.312/.353/.312	0	5	94	-0.3
2015	31	ROKAZL Rangers	31	.154/.241/.192	0	3	-20	—	.111/.172/.148
2016	32	AAAOklahoma City…	62	.123/.194/.140	0	3	-39	—	.085/.129/.102
2017	33	No MLB games played
2018	34	No MLB games played
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 -0.3

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.

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	ROK	AZL Giants	—	252	193	62	4	2	1	44	43	8	40	6	321	465	378	844	57	409	17	17	384	82	—	—	—	—	—	—
2006	22	A	Augusta GreenJackets	—	493	418	122	17	4	2	54	73	9	66	9	292	385	366	751	74	345	15	11	337	83	—	—	—	—	—	—
2007	23	A+	San Jose Giants	—	469	384	107	12	7	2	67	94	11	43	11	279	400	362	762	83	362	20	14	349	80	—	—	—	—	—	—
2008	24	AA	Connecticut Defenders	—	445	365	88	5	6	5	55	82	12	33	6	241	359	329	688	88	295	18	12	312	77	—	—	—	—	—	—
2009	25	AA	Connecticut Defenders	—	106	87	18	3	2	0	11	31	4	6	5	207	324	287	611	80	316	29	10	278	54	—	—	—	—	—	—
2010	26	AAA	Gwinnett Braves	—	32	25	7	0	0	0	5	9	1	3	0	280	419	280	699		412	28	16	330	77	—	—	—	—	—	—
2010	26	AA	Mississippi Braves	—	331	272	76	8	1	0	41	47	12	24	3	279	397	316	713	37	333	14	12	332	70	—	—	—	—	—	—
2011	27	AA	Mississippi Braves	—	353	272	77	9	0	1	60	66	11	17	5	283	431	327	759	44	369	19	17	352	90	—	—	—	—	—	—
2011	27	INTL	Leones de Ponce	—	114	89	19	1	3	0	22	15	1	7	3	213	375	292	667	79	257	13	19	314	99	—	—	—	—	—	—
2012	28	AAA	Norfolk Tides	—	34	25	4	0	0	0	7	6	0	1	0	160	344	160	504		211	18	21	250	22	—	—	—	—	—	—
2012	28	AA	Bowie Baysox	—	367	290	81	4	4	1	61	60	7	26	5	279	416	331	747	52	348	16	17	345	92	—	—	—	—	—	—
2013	29	AAA	Rochester Red Wings	—	369	302	80	14	7	0	52	70	5	25	2	265	382	358	739	93	343	19	14	332	77	—	—	—	—	—	—
2013	29	AA	New Britain Rock Cats	—	154	120	42	8	1	0	21	24	5	13	5	350	466	433	899	83	433	16	14	390	132	—	—	—	—	—	—
2013	29	INTL	Bravos de Margarita	—	158	134	34	6	1	1	16	33	5	6	2	254	355	336	691	82	327	21	10	315	99	—	—	—	—	—	—
2014	30	MLB	New York Yankees	—	17	16	5	0	0	0	1	3	0	5	0	312	353	312	665		385	18	6	307	94	-0	+1	-0	-4	+0	-0.3
2014	30	AAA	Scranton/Wilkes-Barre RailRiders	—	315	258	70	7	4	3	33	56	14	26	1	271	384	364	748	93	332	18	10	336	86	—	—	—	—	—	—
2015	31	ROK	AZL Rangers	—	31	26	4	1	0	0	2	7	1	3	0	154	241	192	434	38	200	23	6	198	-20	—	—	—	—	—	—
2016	32	AAA	Oklahoma City Dodgers	—	62	57	7	1	0	0	5	21	0	3	0	123	194	140	334	18	194	34	8	165	-39	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	17	16	5	0	0	0	1	3	0	5	0	312	353	312	665		385	18	6	307	94	-0	+1	-0	-4	+0	-0.3
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2005	21	ROK MLE	AZL Giants	—	252	211	55	3	2	1	26	62	8	40	6	261	363	308	671	47	339	25	10	290	82	—	—	—	—	—	—
2006	22	A MLE	Augusta GreenJackets	—	493	437	117	15	4	2	35	98	9	66	9	268	335	334	669	66	323	20	7	291	83	—	—	—	—	—	—
2007	23	A+ MLE	San Jose Giants	—	469	404	97	10	5	2	47	126	11	43	11	240	335	304	640	64	334	27	10	287	80	—	—	—	—	—	—
2008	24	AA MLE	Connecticut Defenders	—	445	382	91	5	6	4	38	100	12	33	6	238	326	314	641	76	294	22	9	282	77	—	—	—	—	—	—
2009	25	AA MLE	Connecticut Defenders	—	106	90	18	3	2	0	8	38	4	6	5	200	294	278	572	78	311	36	8	248	54	—	—	—	—	—	—
2010	26	AAA MLE	Gwinnett Braves	—	32	27	7	0	0	0	3	11	1	3	0	259	355	259	614		373	34	9	282	77	—	—	—	—	—	—
2010	26	AA MLE	Mississippi Braves	—	331	285	68	8	1	0	28	59	12	24	3	239	332	274	606	35	286	18	8	272	70	—	—	—	—	—	—
2011	27	AA MLE	Mississippi Braves	—	353	292	76	10	0	1	40	80	11	17	5	260	370	305	675	45	336	23	11	301	90	—	—	—	—	—	—
2012	28	AAA MLE	Norfolk Tides	—	34	28	4	0	0	0	4	7	0	1	0	143	250	143	393		192	21	12	201	22	—	—	—	—	—	—
2012	28	AA MLE	Bowie Baysox	—	367	309	83	4	5	1	42	73	7	26	5	269	369	324	692	55	332	20	11	304	92	—	—	—	—	—	—
2013	29	AAA MLE	Rochester Red Wings	—	369	320	77	13	8	0	34	85	5	25	2	241	323	331	654	91	309	23	9	282	77	—	—	—	—	—	—
2013	29	AA MLE	New Britain Rock Cats	—	154	127	45	8	1	0	14	29	5	13	5	354	438	433	871	79	415	19	9	364	132	—	—	—	—	—	—
2014	30	MLB MLE	New York Yankees	—	17	16	5	0	0	0	1	3	0	5	0	312	353	312	665		385	18	6	307	94	-0	+1	-0	-4	+0	-0.3
2014	30	AAA MLE	Scranton/Wilkes-Barre RailRiders	—	315	269	67	6	4	2	22	69	14	26	1	249	338	323	661	74	309	22	7	295	86	—	—	—	—	—	—
2015	31	ROK MLE	AZL Rangers	—	31	27	3	1	0	0	1	10	1	3	0	111	172	148	321	37	149	32	3	139	-20	—	—	—	—	—	—
2016	32	AAA MLE	Oklahoma City Dodgers	—	62	59	5	1	0	0	3	28	0	3	0	85	129	102	231	17	161	45	5	110	-39	—	—	—	—	—	—
2005	21	ROK MLE	AZL Giants	—	252	211	55	3	2	1	26	62	8	40	6	261	363	308	671	47	365	25	10	290	82	—	—	—	—	—	—
2005	21	ROK RAW	AZL Giants	—	252	193	62	4	2	1	44	43	8	40	6	321	465	378	844	57	409	17	17	384	82	—	—	—	—	—	—
2006	22	A MLE	Augusta GreenJackets	—	493	437	117	15	4	2	35	98	9	66	9	268	335	334	669	66	336	20	7	291	83	—	—	—	—	—	—
2006	22	A RAW	Augusta GreenJackets	—	493	418	122	17	4	2	54	73	9	66	9	292	385	366	751	74	345	15	11	337	83	—	—	—	—	—	—
2007	23	A+ MLE	San Jose Giants	—	469	404	97	10	5	2	47	126	11	43	11	240	335	304	640	64	342	27	10	287	80	—	—	—	—	—	—
2007	23	A+ RAW	San Jose Giants	—	469	384	107	12	7	2	67	94	11	43	11	279	400	362	762	83	362	20	14	349	80	—	—	—	—	—	—
2008	24	AA MLE	Connecticut Defenders	—	445	382	91	5	6	4	38	100	12	33	6	238	326	314	641	76	310	22	9	282	77	—	—	—	—	—	—
2008	24	AA RAW	Connecticut Defenders	—	445	365	88	5	6	5	55	82	12	33	6	241	359	329	688	88	295	18	12	312	77	—	—	—	—	—	—
2009	25	AA MLE	Connecticut Defenders	—	106	90	18	3	2	0	8	38	4	6	5	200	294	278	572	78	340	36	8	248	54	—	—	—	—	—	—
2009	25	AA RAW	Connecticut Defenders	—	106	87	18	3	2	0	11	31	4	6	5	207	324	287	611	80	316	29	10	278	54	—	—	—	—	—	—
2010	26	AA MLE	2 teams	—	363	312	75	8	1	0	31	70	13	27	3	240	334	272	607	32	305	19	9	273	71	—	—	—	—	—	—
2010	26	AA RAW	2 teams	—	363	297	83	8	1	0	46	56	13	27	3	279	399	313	712	34	339	15	13	332	71	—	—	—	—	—	—
2011	27	AA MLE	2 teams	—	467	390	100	13	0	1	53	106	12	24	8	256	363	297	660	41	349	23	11	301	90	—	—	—	—	—	—
2011	27	AA RAW	2 teams	—	467	361	96	10	3	1	82	81	12	24	8	266	418	319	736	53	339	17	18	343	90	—	—	—	—	—	—
2012	28	AA MLE	2 teams	—	401	337	88	4	5	1	46	81	7	27	5	261	362	312	673	50	340	20	11	295	86	—	—	—	—	—	—
2012	28	AA RAW	2 teams	—	401	315	85	4	4	1	68	66	7	27	5	270	410	317	728	48	337	16	17	337	86	—	—	—	—	—	—
2013	29	AAA MLE	3 teams	—	681	583	158	27	12	0	62	148	15	44	9	271	356	358	715	87	361	22	9	306	93	—	—	—	—	—	—
2013	29	AAA RAW	3 teams	—	681	556	156	28	9	1	89	127	15	44	9	281	394	369	763	88	360	19	13	341	93	—	—	—	—	—	—
2014	30	AAA MLE	2 teams	—	332	285	72	6	4	2	23	72	14	31	1	253	339	323	661	70	327	22	7	296	86	—	—	—	—	—	—
2014	30	AAA RAW	2 teams	—	332	274	75	7	4	3	34	59	14	31	1	274	382	361	743	88	335	18	10	334	86	—	—	—	—	—	—
2015	31	ROK MLE	AZL Rangers	—	31	27	3	1	0	0	1	10	1	3	0	111	172	148	321	37	167	32	3	139	-20	—	—	—	—	—	—
2015	31	ROK RAW	AZL Rangers	—	31	26	4	1	0	0	2	7	1	3	0	154	241	192	434	38	200	23	6	198	-20	—	—	—	—	—	—
2016	32	AAA MLE	Oklahoma City Dodgers	—	62	59	5	1	0	0	3	28	0	3	0	85	129	102	231	17	161	45	5	110	-39	—	—	—	—	—	—
2016	32	AAA RAW	Oklahoma City Dodgers	—	62	57	7	1	0	0	5	21	0	3	0	123	194	140	334	18	194	34	8	165	-39	—	—	—	—	—	—
2005	21	ROK MLE	AZL Giants	—	252	216	55	3	2	1	26	62	8	40	6	255	363	301	664	46	339	25	10	290	82	—	—	—	—	—	—
2006	22	A MLE	Augusta GreenJackets	—	493	446	117	15	4	2	35	98	9	66	9	262	335	327	662	65	323	20	7	291	83	—	—	—	—	—	—
2007	23	A+ MLE	San Jose Giants	—	469	408	97	10	5	2	47	126	11	43	11	238	335	301	637	64	334	27	10	287	80	—	—	—	—	—	—
2008	24	AA MLE	Connecticut Defenders	—	445	392	91	5	6	4	38	100	12	33	6	232	326	306	633	74	294	22	9	282	77	—	—	—	—	—	—
2009	25	AA MLE	Connecticut Defenders	—	106	93	18	3	2	0	8	38	4	6	5	194	294	269	563	75	311	36	8	248	54	—	—	—	—	—	—
2010	26	AA MLE	2 teams	—	363	316	75	8	1	0	31	70	13	27	3	237	334	269	603	32	294	19	9	273	71	—	—	—	—	—	—
2011	27	AA MLE	2 teams	—	467	399	100	13	0	1	53	106	12	24	8	251	363	291	653	40	336	23	11	301	90	—	—	—	—	—	—
2012	28	AA MLE	2 teams	—	401	345	88	4	5	1	46	81	7	27	5	255	362	304	666	49	320	20	11	295	86	—	—	—	—	—	—
2013	29	AAA MLE	3 teams	—	681	599	158	27	12	0	62	148	15	44	9	264	356	349	705	85	340	22	9	306	93	—	—	—	—	—	—
2014	30	AAA MLE	2 teams	—	332	292	72	6	4	2	23	72	14	31	1	247	339	315	654	68	313	22	7	296	86	—	—	—	—	—	—
2015	31	ROK MLE	AZL Rangers	—	31	29	3	1	0	0	1	10	1	3	0	103	172	138	310	34	149	32	3	139	-20	—	—	—	—	—	—
2016	32	AAA MLE	Oklahoma City Dodgers	—	62	59	5	1	0	0	3	28	0	3	0	85	129	102	231	17	161	45	5	110	-39	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	17	16	5	0	0	0	1	3	0	5	0	312	353	312	665		385	18	6	307	81	-0	+1	-0	-4	+0	-0.3
/ 162G	—	A+C		—	650	612	191	0	0	0	38	115	0	191	0	312	352	312	664		384	18	6	307	81	-5	+38	-6	-136	+14	-9.6
Career	—	MLE		—	4102	3517	879	96	41	13	373	939	106	347	63	250	340	312	651	62	334	23	9	287	81	-0	+1	-0	-4	+0	-0.3
/ 162G	—	MLE		—	650	557	139	15	6	2	59	149	17	55	10	250	340	309	648	59	334	23	9	287	81	-5	+38	-6	-136	+14	-9.6

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 AAAOklahoma City Dodgers · 62 PAwOBA .161 → .110 (−51)K% 33.9% → 44.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	33.87%	÷0.972	×1.290	—	—	44.93%
BB% (unintentional) /PA	8.06%	÷1.059	×0.710	—	×0.942	5.10%
HBP% /PA	0.00%	—	×0.980	—	×0.942	0.00%
Singles /BIP	16.67%	÷1.017	×0.900	—	×0.942	13.90%
Doubles /BIP	2.78%	÷0.975	×0.810	—	×0.942	2.17%
Triples /BIP	0.00%	÷1.104	×0.810	—	×0.942	0.00%
Home runs /BIP	0.00%	÷0.947	×0.780	—	×0.942	0.00%

Factors used: league row PCL. Park (home-season share, regressed): HR 89, 1B 103, 2B 95, 3B 121, K 94, BB 112 — 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).

Result: wOBA .161 → .110; ISO .018 → .012; BABIP .194 → .161. 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 ROKAZL Rangers · 31 PAwOBA .200 → .139 (−60)K% 22.6% → 32.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.58%	÷1.000	×1.440	—	—	32.52%
BB% (unintentional) /PA	6.45%	÷1.000	×0.620	—	×0.940	3.76%
HBP% /PA	3.23%	—	×0.720	—	×0.940	2.18%
Singles /BIP	15.79%	÷1.000	×0.820	—	×0.940	12.17%
Doubles /BIP	5.26%	÷1.000	×0.720	—	×0.940	3.56%
Triples /BIP	0.00%	÷1.000	×0.720	—	×0.940	0.00%
Home runs /BIP	0.00%	÷1.000	×0.780	—	×0.940	0.00%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 32 vs a level average of 19.5 → −6.0% on BB/HBP/hit rates (12.5 yr older than average).

Result: wOBA .200 → .139; ISO .038 → .026; BABIP .200 → .149. 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 AAAScranton/Wilkes-Barre RailRiders · 315 PAwOBA .331 → .295 (−36)K% 17.8% → 22.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.78%	÷0.970	×1.200	—	—	22.00%
BB% (unintentional) /PA	10.48%	÷0.985	×0.690	—	×0.962	7.06%
HBP% /PA	4.44%	—	×0.940	—	×0.962	4.02%
Singles /BIP	27.72%	÷0.984	×0.930	×1.030	×0.962	25.96%
Doubles /BIP	3.47%	÷0.936	×0.830	×1.030	×0.962	3.04%
Triples /BIP	1.98%	÷0.954	×0.970	×1.030	×0.962	2.00%
Home runs /BIP	1.49%	÷1.067	×0.840	—	×0.962	1.12%

Factors used: league row IL. Park (home-season share, regressed): HR 113, 1B 97, 2B 87, 3B 91, K 94, BB 97 — 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 ×1.030.

Result: wOBA .331 → .295; ISO .093 → .085; BABIP .332 → .309. 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 AAARochester Red Wings · 369 PAwOBA .326 → .282 (−43)K% 19.0% → 23.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.97%	÷0.987	×1.200	—	—	23.06%
BB% (unintentional) /PA	14.09%	÷1.026	×0.690	—	×0.972	9.21%
HBP% /PA	1.36%	—	×0.940	—	×0.972	1.24%
Singles /BIP	25.43%	÷1.040	×0.930	×1.026	×0.972	22.68%
Doubles /BIP	6.03%	÷0.977	×0.830	×1.026	×0.972	5.11%
Triples /BIP	3.02%	÷0.900	×0.970	×1.026	×0.972	3.24%
Home runs /BIP	0.00%	÷0.938	×0.840	—	×0.972	0.00%

Factors used: league row IL. Park (home-season share, regressed): HR 88, 1B 108, 2B 95, 3B 80, K 97, BB 105 — 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 ×1.026.

Result: wOBA .326 → .282; ISO .093 → .094; BABIP .343 → .309. 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 AANew Britain Rock Cats · 154 PAwOBA .383 → .364 (−19)K% 15.6% → 18.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.58%	÷1.020	×1.220	—	—	18.64%
BB% (unintentional) /PA	13.64%	÷1.011	×0.700	—	×0.948	8.95%
HBP% /PA	3.25%	—	×0.850	—	×0.948	2.62%
Singles /BIP	34.38%	÷0.995	×0.970	×1.050	×0.948	33.35%
Doubles /BIP	8.33%	÷0.963	×0.860	×1.050	×0.948	7.41%
Triples /BIP	1.04%	÷0.900	×0.950	×1.050	×0.948	1.09%
Home runs /BIP	0.00%	÷0.897	×0.780	—	×0.948	0.00%

Factors used: league row EL. Park (home-season share, regressed): HR 79, 1B 99, 2B 93, 3B 80, K 104, BB 102 — applied at half strength. Age: age 30 vs a level average of 24.8 → −5.2% on BB/HBP/hit rates (5.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .383 → .364; ISO .083 → .086; BABIP .433 → .415. 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 AABowie Baysox · 367 PAwOBA .338 → .304 (−35)K% 16.3% → 20.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.35%	÷1.000	×1.220	—	—	19.96%
BB% (unintentional) /PA	16.62%	÷0.978	×0.700	—	×0.958	11.40%
HBP% /PA	1.91%	—	×0.850	—	×0.958	1.55%
Singles /BIP	31.30%	÷1.027	×0.970	×1.050	×0.958	29.75%
Doubles /BIP	1.74%	÷0.932	×0.860	×1.050	×0.958	1.61%
Triples /BIP	1.74%	÷0.900	×0.950	×1.050	×0.958	1.85%
Home runs /BIP	0.43%	÷1.018	×0.780	—	×0.958	0.32%

Factors used: league row EL. Park (home-season share, regressed): HR 104, 1B 105, 2B 86, 3B 80, K 100, BB 96 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .338 → .304; ISO .052 → .053; BABIP .348 → .332. 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 AAANorfolk Tides · 34 PAwOBA .246 → .201 (−44)K% 17.6% → 21.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.65%	÷0.999	×1.200	—	—	21.21%
BB% (unintentional) /PA	20.59%	÷1.066	×0.690	—	×0.982	13.08%
HBP% /PA	0.00%	—	×0.940	—	×0.982	0.00%
Singles /BIP	21.05%	÷1.001	×0.930	—	×0.982	19.21%
Doubles /BIP	0.00%	÷0.984	×0.830	—	×0.982	0.00%
Triples /BIP	0.00%	÷0.900	×0.970	—	×0.982	0.00%
Home runs /BIP	0.00%	÷0.870	×0.840	—	×0.982	0.00%

Factors used: league row IL. Park (home-season share, regressed): HR 74, 1B 100, 2B 97, 3B 80, K 100, BB 113 — 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).

Result: wOBA .246 → .201; ISO .000 → .000; BABIP .211 → .192. 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 AAMississippi Braves · 353 PAwOBA .345 → .301 (−44)K% 18.7% → 22.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.70%	÷1.000	×1.220	—	—	22.81%
BB% (unintentional) /PA	17.00%	÷0.978	×0.680	—	×0.968	11.44%
HBP% /PA	3.12%	—	×0.840	—	×0.968	2.53%
Singles /BIP	32.52%	÷1.040	×0.920	×1.050	×0.968	29.26%
Doubles /BIP	4.37%	÷0.923	×0.910	×1.050	×0.968	4.38%
Triples /BIP	0.00%	÷0.978	×0.880	×1.050	×0.968	0.00%
Home runs /BIP	0.49%	÷0.844	×0.800	—	×0.968	0.45%

Factors used: league row SL. Park (home-season share, regressed): HR 69, 1B 108, 2B 85, 3B 96, K 100, BB 96 — applied at half strength. Age: age 28 vs a level average of 24.8 → −3.2% on BB/HBP/hit rates (3.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .345 → .301; ISO .044 → .047; BABIP .369 → .336. 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 — .