Emmanuel Burriss

Pos2B

B/TS/R

Born1985-01-17

Age (2027)42

No MLB projection yet. Career stats below are historical.

Overview

INTLLAST SEASON 2018

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2016	31	AAAPHI	187	.263/.299/.309	0	6	38	—	.228/.245/.267
2016	31	MLBPHI	50	.111/.184/.178	0	1	1	-0.4
2017	32	AAASyracuse Chie…	153	.253/.283/.274	0	3	30	—	.223/.243/.236
2018	33	INTLLeones del Es…	31	.192/.300/.192	0	1	47	—
2019	34	No MLB games played
2020	35	No MLB games played
2021	36	No MLB games played
2022	37	No MLB games played
2023	38	No MLB games played
2024	39	No MLB games played
2025	40	No MLB games played
2026	41	No MLB games played

Last 3 seasons WAR -0.4

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)
2007	22	A+	San Jose Giants	—	160	139	23	2	0	0	12	20	2	17	3	165	242	180	422	14	189	12	8	196	4	—	—	—	—	—	—
2007	22	A	Augusta GreenJackets	—	405	365	117	14	4	0	28	49	5	51	15	321	377	381	758	60	367	12	7	339	83	—	—	—	—	—	—
2008	23	MLB	San Francisco Giants	—	274	240	68	6	1	1	23	24	5	13	5	283	358	329	687	46	310	9	8	312	95	-1	+1	+1	+4	+6	1.0
2008	23	AAA	Fresno Grizzlies	—	64	62	16	1	1	0	2	7	0	1	2	258	281	306	588	48	291	11	3	265	47	—	—	—	—	—	—
2009	24	MLB	San Francisco Giants	—	220	202	48	6	0	0	14	34	2	11	4	238	294	267	561	30	284	15	6	259	59	-11	+1	-1	+1	+5	-0.5
2009	24	AAA	Fresno Grizzlies	—	77	71	19	2	1	1	3	4	2	6	2	268	316	366	682	99	269	5	4	304	78	—	—	—	—	—	—
2010	25	AAA	Fresno Grizzlies	—	305	273	77	11	2	0	19	29	3	11	5	282	336	337	673	55	314	10	6	297	80	—	—	—	—	—	—
2010	25	A+	San Jose Giants	—	17	14	3	0	0	0	0	3	2	1	1	214	312	214	527		273	18	0	246	29	—	—	—	—	—	—
2010	25	INTL	Gigantes del Cibao	—	124	120	31	2	0	0	2	15	0	5	0	258	270	275	545	17	295	12	2	244	51	—	—	—	—	—	—
2011	26	MLB	San Francisco Giants	—	152	137	28	1	0	0	6	17	3	11	3	204	253	212	465	7	233	11	4	211	31	-13	+1	-0	+1	+3	-0.7
2011	26	AAA	Fresno Grizzlies	—	206	175	52	8	1	2	22	19	4	24	5	297	388	389	777	91	323	9	11	347	97	—	—	—	—	—	—
2012	27	MLB	San Francisco Giants	—	150	136	29	1	0	0	10	25	1	5	3	213	272	221	493	7	259	17	7	229	40	-11	-0	-3	+1	+3	-1.0
2012	27	AAA	Fresno Grizzlies	—	120	106	29	7	2	0	11	12	1	5	0	274	347	377	725	104	302	10	9	323	78	—	—	—	—	—	—
2013	28	AAA	Louisville Bats	—	405	369	89	6	0	1	22	41	6	17	8	241	295	266	560	24	268	10	5	256	42	—	—	—	—	—	—
2014	29	AAA	Syracuse Chiefs	—	510	444	133	18	7	6	48	41	8	22	10	300	378	412	790	113	319	8	9	350	91	—	—	—	—	—	—
2014	29	INTL	Gigantes del Cibao	—	61	55	16	4	1	0	2	6	3	1	1	291	344	400	744	109	327	10	3	333	111	—	—	—	—	—	—
2015	30	AAA	Syracuse Chiefs	—	420	377	105	15	6	3	31	47	6	12	6	279	343	374	717	95	310	11	7	320	73	—	—	—	—	—	—
2015	30	INTL	Tigres del Licey	—	38	34	7	1	0	0	4	0	0	3	1	206	289	235	525	29	206	0	11	250	55	—	—	—	—	—	—
2016	31	MLB	Philadelphia Phillies	—	50	45	5	1	1	0	2	10	2	1	0	111	184	178	361	67	143	20	4	170	1	-6	+0	-0	+1	+1	-0.4
2016	31	AAA	Lehigh Valley IronPigs	—	187	175	46	6	1	0	9	25	0	6	1	263	299	309	607	46	303	13	5	272	38	—	—	—	—	—	—
2017	32	AAA	Syracuse Chiefs	—	153	146	37	3	0	0	5	11	1	3	2	253	283	274	557	21	274	7	3	254	30	—	—	—	—	—	—
2018	33	INTL	Leones del Escogido	—	31	26	5	0	0	0	2	1	2	1	0	192	300	192	492		200	3	6	238	47	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	846	760	178	15	2	1	55	110	13	41	15	234	297	263	560	29	271	13	7	257	60	-40	+2	-3	+8	+18	-1.6
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2007	22	A+ MLE	San Jose Giants	—	160	142	22	2	0	0	9	27	2	17	3	155	216	169	385	14	176	17	6	174	4	—	—	—	—	—	—
2007	22	A MLE	Augusta GreenJackets	—	405	374	108	12	4	0	19	66	5	51	15	289	332	342	674	53	336	16	5	291	83	—	—	—	—	—	—
2008	23	MLB MLE	San Francisco Giants	—	274	241	68	6	1	1	22	24	5	13	5	282	354	328	682	46	310	9	8	309	95	-1	+1	+1	+4	+6	1.0
2008	23	AAA MLE	Fresno Grizzlies	—	64	63	15	1	1	0	1	9	0	1	2	238	250	286	536	48	282	14	2	238	47	—	—	—	—	—	—
2009	24	MLB MLE	San Francisco Giants	—	220	203	48	6	0	0	13	34	2	11	4	236	289	266	555	30	284	15	6	256	59	-11	+1	-1	+1	+5	-0.5
2009	24	AAA MLE	Fresno Grizzlies	—	77	72	19	2	1	1	2	5	2	6	2	264	303	361	664	97	261	6	3	283	78	—	—	—	—	—	—
2010	25	AAA MLE	Fresno Grizzlies	—	305	278	80	11	2	0	14	39	3	11	5	288	329	342	671	54	318	13	5	287	80	—	—	—	—	—	—
2010	25	A+ MLE	San Jose Giants	—	17	14	3	0	0	0	0	4	2	1	1	214	312	214	527		248	24	0	211	29	—	—	—	—	—	—
2011	26	MLB MLE	San Francisco Giants	—	152	137	28	1	0	0	6	17	3	11	3	204	253	212	465	7	233	11	4	214	31	-13	+1	-0	+1	+3	-0.7
2011	26	AAA MLE	Fresno Grizzlies	—	206	182	52	7	1	1	15	24	4	24	5	286	353	352	705	66	309	12	7	311	97	—	—	—	—	—	—
2012	27	MLB MLE	San Francisco Giants	—	150	137	29	1	0	0	9	25	1	5	3	212	265	219	484	7	259	17	6	227	40	-11	-0	-3	+1	+3	-1.0
2012	27	AAA MLE	Fresno Grizzlies	—	120	111	27	6	2	0	6	16	1	5	0	243	288	333	621	90	281	13	5	283	78	—	—	—	—	—	—
2013	28	AAA MLE	Louisville Bats	—	405	378	88	6	0	1	13	51	6	17	8	233	270	257	526	24	258	13	3	231	42	—	—	—	—	—	—
2014	29	AAA MLE	Syracuse Chiefs	—	510	458	125	15	7	5	34	51	8	22	10	273	334	369	703	96	288	10	7	302	91	—	—	—	—	—	—
2015	30	AAA MLE	Syracuse Chiefs	—	420	388	97	12	6	2	20	54	6	12	6	250	297	327	624	77	279	13	5	276	73	—	—	—	—	—	—
2016	31	MLB MLE	Philadelphia Phillies	—	50	45	5	1	1	0	2	10	2	1	0	111	184	178	361	67	143	20	4	170	1	-6	+0	-0	+1	+1	-0.4
2016	31	AAA MLE	Lehigh Valley IronPigs	—	187	180	41	5	1	0	4	30	0	6	1	228	245	267	511	39	260	16	2	224	38	—	—	—	—	—	—
2017	32	AAA MLE	Syracuse Chiefs	—	153	148	33	2	0	0	3	13	1	3	2	223	243	236	480	14	241	8	2	212	30	—	—	—	—	—	—
2007	22	A MLE	2 teams	—	565	517	130	13	4	0	27	92	7	68	18	251	298	292	590	41	302	16	5	258	61	—	—	—	—	—	—
2007	22	A RAW	2 teams	—	565	504	140	16	4	0	40	69	7	68	18	278	339	325	665	48	317	12	7	298	61	—	—	—	—	—	—
2008	23	MLB MLE	2 teams	—	338	304	83	7	2	1	23	33	5	14	7	273	334	319	653	46	303	10	7	296	86	-6	+0	+1	+4	+7	0.6
2008	23	MLB RAW	2 teams	—	338	302	84	7	2	1	25	31	5	14	7	278	343	325	668	46	306	9	7	303	86	-6	+0	+1	+4	+7	0.6
2009	24	MLB MLE	2 teams	—	297	275	67	8	1	1	15	39	4	17	6	244	293	291	583	47	278	13	5	263	64	-13	+1	-1	+1	+6	-0.5
2009	24	MLB RAW	2 teams	—	297	273	67	8	1	1	17	38	4	17	6	245	299	293	592	48	280	13	6	271	64	-13	+1	-1	+1	+6	-0.5
2010	25	AAA MLE	3 teams	—	446	408	114	15	2	0	20	59	5	17	6	279	321	326	647	47	326	13	4	283	78	—	—	—	—	—	—
2010	25	AAA RAW	3 teams	—	446	407	111	13	2	0	21	47	5	17	6	273	316	314	631	42	307	11	5	281	78	—	—	—	—	—	—
2011	26	AAA MLE	2 teams	—	358	319	80	8	1	1	21	41	7	35	8	251	311	292	603	41	284	11	6	270	69	—	—	—	—	—	—
2011	26	AAA RAW	2 teams	—	358	312	80	9	1	2	28	36	7	35	8	256	331	311	642	54	284	10	8	289	69	—	—	—	—	—	—
2012	27	MLB MLE	2 teams	—	270	248	57	7	2	0	15	41	2	10	3	230	279	274	553	44	271	15	6	252	57	-14	+1	-3	+1	+6	-0.9
2012	27	MLB RAW	2 teams	—	270	242	58	8	2	0	21	37	2	10	3	240	306	289	595	50	279	14	8	271	57	-14	+1	-3	+1	+6	-0.9
2013	28	AAA MLE	Louisville Bats	—	405	378	88	6	0	1	13	51	6	17	8	233	270	257	526	24	266	13	3	231	42	—	—	—	—	—	—
2013	28	AAA RAW	Louisville Bats	—	405	369	89	6	0	1	22	41	6	17	8	241	295	266	560	24	268	10	5	256	42	—	—	—	—	—	—
2014	29	AAA MLE	2 teams	—	571	512	139	17	7	6	38	57	11	23	11	271	335	367	702	96	296	10	7	302	91	—	—	—	—	—	—
2014	29	AAA RAW	2 teams	—	571	499	149	22	8	6	50	47	11	23	11	299	374	411	785	112	320	8	9	348	91	—	—	—	—	—	—
2015	30	AAA MLE	2 teams	—	458	424	106	13	7	2	22	59	6	15	7	250	296	328	624	78	285	13	5	276	73	—	—	—	—	—	—
2015	30	AAA RAW	2 teams	—	458	411	112	16	6	3	35	47	6	15	7	273	338	363	701	90	300	10	8	314	73	—	—	—	—	—	—
2016	31	AAA MLE	2 teams	—	237	225	46	6	2	0	6	40	2	7	1	204	232	249	481	44	246	17	3	213	30	—	—	—	—	—	—
2016	31	AAA RAW	2 teams	—	237	220	51	7	2	0	11	35	2	7	1	232	275	282	556	50	273	15	5	251	30	—	—	—	—	—	—
2017	32	AAA MLE	Syracuse Chiefs	—	153	148	33	2	0	0	3	13	1	3	2	223	243	236	480	14	244	8	2	212	30	—	—	—	—	—	—
2017	32	AAA RAW	Syracuse Chiefs	—	153	146	37	3	0	0	5	11	1	3	2	253	283	274	557	21	274	7	3	254	30	—	—	—	—	—	—
2018	33	INTL MLE	Leones del Escogido	—	31	26	5	0	0	0	2	1	2	1	0	192	300	192	492		200	3	6	—	—	—	—	—	—	—	—
2018	33	INTL RAW	Leones del Escogido	—	31	26	5	0	0	0	2	1	2	1	0	192	300	192	492		200	3	6	238	47	—	—	—	—	—	—
2007	22	A MLE	2 teams	—	565	526	130	13	4	0	27	92	7	68	18	247	298	287	585	40	291	16	5	258	61	—	—	—	—	—	—
2008	23	MLB MLE	2 teams	—	338	307	83	7	2	1	23	33	5	14	7	270	334	316	650	46	305	10	7	296	86	—	—	—	—	—	—
2009	24	MLB MLE	2 teams	—	297	276	67	8	1	1	15	39	4	17	6	243	293	290	582	47	278	13	5	263	64	—	—	—	—	—	—
2010	25	AAA MLE	3 teams	—	446	418	114	15	2	0	20	59	5	17	6	273	321	318	639	45	314	13	4	283	78	—	—	—	—	—	—
2011	26	AAA MLE	2 teams	—	358	327	80	8	1	1	21	41	7	35	8	245	311	284	596	40	277	11	6	270	69	—	—	—	—	—	—
2012	27	MLB MLE	2 teams	—	270	251	57	7	2	0	15	41	2	10	3	227	279	271	550	44	269	15	6	252	57	—	—	—	—	—	—
2013	28	AAA MLE	Louisville Bats	—	405	383	88	6	0	1	13	51	6	17	8	230	270	253	523	23	258	13	3	231	42	—	—	—	—	—	—
2014	29	AAA MLE	2 teams	—	571	517	139	17	7	6	38	57	11	23	11	269	335	364	699	95	288	10	7	302	91	—	—	—	—	—	—
2015	30	AAA MLE	2 teams	—	458	427	106	13	7	2	22	59	6	15	7	248	296	326	622	77	279	13	5	276	73	—	—	—	—	—	—
2016	31	AAA MLE	2 teams	—	237	227	46	6	2	0	6	40	2	7	1	203	232	247	478	44	235	17	3	213	30	—	—	—	—	—	—
2017	32	AAA MLE	Syracuse Chiefs	—	153	148	33	2	0	0	3	13	1	3	2	223	243	236	480	14	241	8	2	212	30	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	846	760	178	15	2	1	55	110	13	41	15	234	297	263	560	29	271	13	7	257	65	-40	+2	-3	+8	+18	-1.6
/ 162G	—	A+C		—	650	584	138	12	2	1	42	85	10	32	12	236	299	269	568	33	274	13	6	257	65	-31	+2	-3	+6	+14	-1.2
Career	—	MLE		—	4129	3784	948	102	28	12	205	526	58	227	77	251	299	302	601	51	287	13	5	264	65	-40	+2	-3	+8	+18	-1.6
/ 162G	—	MLE		—	650	596	149	16	4	2	32	83	9	36	12	250	298	300	599	50	286	13	5	264	65	-31	+2	-3	+6	+14	-1.2

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 AAASyracuse Chiefs · 153 PAwOBA .247 → .212 (−35)K% 7.2% → 8.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	7.19%	÷1.005	×1.200	—	—	8.58%
BB% (unintentional) /PA	3.27%	÷1.033	×0.690	—	×0.952	2.08%
HBP% /PA	0.65%	—	×0.940	—	×0.952	0.58%
Singles /BIP	25.19%	÷0.997	×0.930	×1.006	×0.952	22.49%
Doubles /BIP	2.22%	÷1.081	×0.830	×1.006	×0.952	1.63%
Triples /BIP	0.00%	÷1.150	×0.970	×1.006	×0.952	0.00%
Home runs /BIP	0.00%	÷0.980	×0.840	—	×0.952	0.00%

Factors used: league row IL. Park (home-season share, regressed): HR 96, 1B 99, 2B 116, 3B 130, K 101, BB 107 — 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 ×1.006.

Result: wOBA .247 → .212; ISO .021 → .015; BABIP .274 → .241. 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 AAALehigh Valley IronPigs · 187 PAwOBA .263 → .224 (−40)K% 13.4% → 15.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.37%	÷1.018	×1.200	—	—	15.76%
BB% (unintentional) /PA	3.74%	÷1.035	×0.690	—	×0.962	2.40%
HBP% /PA	0.00%	—	×0.940	—	×0.962	0.00%
Singles /BIP	26.00%	÷1.028	×0.930	×1.001	×0.962	22.66%
Doubles /BIP	4.00%	÷1.018	×0.830	×1.001	×0.962	3.14%
Triples /BIP	0.67%	÷1.107	×0.970	×1.001	×0.962	0.56%
Home runs /BIP	0.00%	÷0.942	×0.840	—	×0.962	0.00%

Factors used: league row IL. Park (home-season share, regressed): HR 88, 1B 106, 2B 104, 3B 121, K 104, BB 107 — 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 ×1.001.

Result: wOBA .263 → .224; ISO .046 → .037; BABIP .303 → .260. 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 AAASyracuse Chiefs · 420 PAwOBA .311 → .276 (−35)K% 11.2% → 12.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	11.19%	÷1.043	×1.200	—	—	12.88%
BB% (unintentional) /PA	6.67%	÷0.938	×0.690	—	×0.972	4.77%
HBP% /PA	1.43%	—	×0.940	—	×0.972	1.31%
Singles /BIP	24.55%	÷1.010	×0.930	×1.029	×0.972	22.59%
Doubles /BIP	4.55%	÷1.088	×0.830	×1.029	×0.972	3.47%
Triples /BIP	1.82%	÷0.947	×0.970	×1.029	×0.972	1.86%
Home runs /BIP	0.91%	÷1.183	×0.840	—	×0.972	0.63%

Factors used: league row IL. Park (home-season share, regressed): HR 137, 1B 102, 2B 118, 3B 89, K 109, BB 88 — 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 ×1.029.

Result: wOBA .311 → .276; ISO .095 → .082; BABIP .310 → .279. 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 AAASyracuse Chiefs · 510 PAwOBA .342 → .302 (−40)K% 8.0% → 10.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	8.04%	÷0.965	×1.200	—	—	9.99%
BB% (unintentional) /PA	9.41%	÷0.972	×0.690	—	×0.982	6.56%
HBP% /PA	1.57%	—	×0.940	—	×0.982	1.45%
Singles /BIP	25.31%	÷1.003	×0.930	×1.013	×0.982	23.35%
Doubles /BIP	4.47%	÷1.027	×0.830	×1.013	×0.982	3.59%
Triples /BIP	1.74%	÷1.063	×0.970	×1.013	×0.982	1.58%
Home runs /BIP	1.49%	÷0.985	×0.840	—	×0.982	1.25%

Factors used: league row IL. Park (home-season share, regressed): HR 97, 1B 101, 2B 105, 3B 113, K 93, BB 94 — 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 ×1.013.

Result: wOBA .342 → .302; ISO .113 → .099; BABIP .319 → .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).

2013 AAALouisville Bats · 405 PAwOBA .249 → .231 (−18)K% 10.1% → 12.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	10.12%	÷0.961	×1.200	—	—	12.64%
BB% (unintentional) /PA	5.19%	÷1.075	×0.690	—	×0.992	3.30%
HBP% /PA	1.48%	—	×0.940	—	×0.992	1.38%
Singles /BIP	25.00%	÷1.000	×0.930	×1.050	×0.992	24.21%
Doubles /BIP	1.83%	÷0.960	×0.830	×1.050	×0.992	1.65%
Triples /BIP	0.00%	÷0.900	×0.970	×1.050	×0.992	0.00%
Home runs /BIP	0.30%	÷1.038	×0.840	—	×0.992	0.24%

Factors used: league row IL. Park (home-season share, regressed): HR 108, 1B 100, 2B 92, 3B 80, K 92, BB 115 — 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 .249 → .231; ISO .024 → .022; BABIP .268 → .258. 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 AAAFresno Grizzlies · 120 PAwOBA .314 → .283 (−31)K% 10.0% → 13.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	10.00%	÷0.945	×1.290	—	—	13.66%
BB% (unintentional) /PA	7.50%	÷1.068	×0.710	—	×1.003	5.00%
HBP% /PA	0.83%	—	×0.980	—	×1.003	0.82%
Singles /BIP	21.28%	÷1.001	×0.900	×1.050	×1.003	20.14%
Doubles /BIP	7.45%	÷0.964	×0.810	×1.050	×1.003	6.59%
Triples /BIP	2.13%	÷0.940	×0.810	×1.050	×1.003	1.93%
Home runs /BIP	0.00%	÷0.834	×0.780	—	×1.003	0.00%

Factors used: league row PCL. Park (home-season share, regressed): HR 67, 1B 100, 2B 93, 3B 88, K 89, BB 114 — 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 .314 → .283; ISO .104 → .095; BABIP .302 → .281. 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 AAAFresno Grizzlies · 206 PAwOBA .338 → .311 (−27)K% 9.2% → 11.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	9.22%	÷1.027	×1.290	—	—	11.59%
BB% (unintentional) /PA	10.19%	÷1.043	×0.710	—	×1.018	7.06%
HBP% /PA	1.94%	—	×0.980	—	×1.018	1.94%
Singles /BIP	26.28%	÷0.960	×0.900	×1.037	×1.018	26.01%
Doubles /BIP	5.13%	÷1.013	×0.810	×1.037	×1.018	4.33%
Triples /BIP	0.64%	÷1.150	×0.810	×1.037	×1.018	0.48%
Home runs /BIP	1.28%	÷1.112	×0.780	—	×1.018	0.92%

Factors used: league row PCL. Park (home-season share, regressed): HR 122, 1B 92, 2B 103, 3B 130, K 105, 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 ×1.037.

Result: wOBA .338 → .311; ISO .091 → .075; BABIP .323 → .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).

2010 AAAFresno Grizzlies · 305 PAwOBA .291 → .287 (−4)K% 9.5% → 12.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	9.51%	÷0.969	×1.290	—	—	12.65%
BB% (unintentional) /PA	6.23%	÷0.981	×0.710	—	×1.033	4.66%
HBP% /PA	0.98%	—	×0.980	—	×1.033	1.00%
Singles /BIP	26.23%	÷0.951	×0.900	×1.050	×1.033	26.91%
Doubles /BIP	4.51%	÷0.910	×0.810	×1.050	×1.033	4.35%
Triples /BIP	0.82%	÷1.022	×0.810	×1.050	×1.033	0.70%
Home runs /BIP	0.00%	÷1.047	×0.780	—	×1.033	0.00%

Factors used: league row PCL. Park (home-season share, regressed): HR 109, 1B 90, 2B 82, 3B 104, K 94, BB 96 — 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 ×1.050.

Result: wOBA .291 → .287; ISO .055 → .053; BABIP .314 → .318. 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 — .