Juan Carlos Perez

PosLF

B/TR/R

Born1986-11-13

Age (2027)40

No MLB projection yet. Career stats below are historical.

Overview

INTLLAST SEASON 2021

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2019	32	AAA/INTL2 orgs	541	.312/.396/.453	11	13	75	—	.252/.311/.362
2020	33	INTLDominican Rep…	47	.237/.370/.421	1	0	122	—
2021	34	INTLAguilas Cibae…	63	.226/.349/.264	0	1	86	—

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)
2009	22	A	Augusta GreenJackets	—	484	447	109	29	3	9	23	101	4	18	4	244	287	383	669	139	291	21	5	292	40	—	—	—	—	—	—
2010	23	A+	San Jose Giants	—	596	551	164	37	10	13	31	116	5	17	15	298	341	472	813	174	353	19	5	353	72	—	—	—	—	—	—
2011	24	AA	Richmond Flying Squirrels	—	497	457	117	25	10	4	28	95	4	22	6	256	305	381	685	125	313	19	6	301	51	—	—	—	—	—	—
2011	24	INTL	Aguilas Cibaenas	—	175	162	47	10	3	0	8	38	0	13	3	290	324	389	712	99	373	22	5	309	95	—	—	—	—	—	—
2012	25	AA	Richmond Flying Squirrels	—	513	483	146	26	4	11	22	85	6	18	15	302	341	441	782	139	349	17	4	346	80	—	—	—	—	—	—
2012	25	INTL	Aguilas Cibaenas	—	166	150	42	12	0	4	10	29	2	5	4	280	333	440	773	160	322	17	6	336	113	—	—	—	—	—	—
2013	26	MLB	San Francisco Giants	—	97	89	23	5	0	1	6	21	0	2	0	258	305	348	654	90	324	22	6	289	85	-2	+0	+10	+3	+2	1.3
2013	26	AAA	Fresno Grizzlies	—	409	382	111	27	5	10	15	75	5	18	6	291	326	466	792	175	337	18	4	343	70	—	—	—	—	—	—
2013	26	INTL	Dominican Republic	—	204	181	50	11	0	1	13	35	4	15	5	276	337	354	690	77	333	17	6	307	94	—	—	—	—	—	—
2014	27	MLB	San Francisco Giants	—	109	100	17	7	0	1	5	25	2	0	1	170	224	270	494	100	216	23	5	222	38	-8	-0	-1	-4	+2	-1.0
2014	27	AAA	Fresno Grizzlies	—	196	177	56	13	0	7	14	32	3	7	4	316	376	508	885	192	350	16	7	387	90	—	—	—	—	—	—
2014	27	INTL	Aguilas Cibaenas	—	27	25	11	4	0	0	1	2	0	1	1	440	444	600	1.044	160	478	7	4	451	191	—	—	—	—	—	—
2015	28	MLB	San Francisco Giants	—	40	39	11	3	0	0	1	6	0	1	0	282	300	359	659	77	333	15	2	295	87	-1	+0	+0	-5	+1	-0.5
2015	28	AAA	Sacramento River Cats	—	344	321	85	24	3	7	17	62	2	17	2	265	306	424	730	159	310	18	5	319	54	—	—	—	—	—	—
2015	28	A+	San Jose Giants	—	28	26	5	2	0	0	1	4	0	0	0	192	222	269	491	77	217	14	4	214	1	—	—	—	—	—	—
2015	28	INTL	Aguilas Cibaenas	—	60	53	12	2	0	1	6	14	0	2	0	226	305	321	626	94	282	23	10	283	78	—	—	—	—	—	—
2016	29	AAA	Iowa Cubs	—	415	381	105	27	5	9	20	85	2	16	6	276	313	444	756	168	327	20	5	325	68	—	—	—	—	—	—
2016	29	INTL	Aguilas Cibaenas	—	190	172	50	13	0	0	13	30	3	2	0	291	351	366	717	76	347	16	7	323	105	—	—	—	—	—	—
2017	30	AAA	Toledo Mud Hens	—	152	137	28	5	2	1	10	35	1	10	1	204	264	292	555	88	260	23	7	247	17	—	—	—	—	—	—
2017	30	INTL	Dominican Republic	—	218	199	56	12	0	3	15	41	2	7	2	281	338	387	725	106	340	19	7	324	106	—	—	—	—	—	—
2018	31	INTL	Aguilas Cibaenas	—	124	103	23	5	0	0	13	25	5	3	2	223	339	272	611	49	287	20	10	286	80	—	—	—	—	—	—
2019	32	AAA	Rieleros de Aguascalientes	—	477	412	138	31	1	11	54	72	6	12	5	335	419	495	914	160	385	15	11	403	84	—	—	—	—	—	—
2019	32	INTL	Aguilas Cibaenas	—	64	56	8	0	0	0	5	19	1	1	1	143	222	143	365		211	30	8	179	7	—	—	—	—	—	—
2020	33	INTL	Dominican Republic	—	47	38	9	2	1	1	7	9	1	0	0	237	370	421	791	184	276	19	15	349	122	—	—	—	—	—	—
2021	34	INTL	Aguilas Cibaenas	—	63	53	12	2	0	0	10	12	0	1	0	226	349	264	613	38	293	19	16	295	86	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	246	228	51	15	0	2	12	52	2	3	1	224	269	316	584	92	280	21	5	260	62	-11	+0	+9	-6	+5	-0.2
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2009	22	A MLE	Augusta GreenJackets	—	484	455	90	22	3	7	15	136	4	18	4	198	230	305	535	108	249	28	3	228	40	—	—	—	—	—	—
2010	23	A+ MLE	San Jose Giants	—	596	562	133	29	6	11	20	160	5	17	15	237	269	368	637	132	300	27	3	275	72	—	—	—	—	—	—
2011	24	AA MLE	Richmond Flying Squirrels	—	497	467	101	20	8	3	18	119	4	22	6	216	252	313	564	96	275	24	4	243	51	—	—	—	—	—	—
2012	25	AA MLE	Richmond Flying Squirrels	—	513	489	129	22	4	8	16	105	6	18	15	264	295	374	670	110	317	20	3	287	80	—	—	—	—	—	—
2013	26	MLB MLE	San Francisco Giants	—	97	89	23	5	0	1	6	21	0	2	0	258	305	348	654	90	324	22	6	293	85	-2	+0	+10	+3	+2	1.3
2013	26	AAA MLE	Fresno Grizzlies	—	409	385	91	21	4	8	12	98	5	18	6	236	269	374	643	138	287	24	3	272	70	—	—	—	—	—	—
2014	27	MLB MLE	San Francisco Giants	—	109	100	17	7	0	1	5	25	2	0	1	170	224	270	494	100	216	23	5	224	38	-8	-0	-1	-4	+2	-1.0
2014	27	AAA MLE	Fresno Grizzlies	—	196	181	46	10	0	5	10	42	3	7	4	254	304	392	696	138	293	21	5	301	90	—	—	—	—	—	—
2015	28	MLB MLE	San Francisco Giants	—	40	39	11	3	0	0	1	6	0	1	0	282	300	359	659	77	333	15	2	297	87	-1	+0	+0	-5	+1	-0.5
2015	28	AAA MLE	Sacramento River Cats	—	344	327	70	18	3	5	11	76	2	17	2	214	244	333	577	119	258	22	3	248	54	—	—	—	—	—	—
2015	28	A+ MLE	San Jose Giants	—	28	26	4	1	0	0	1	5	0	0	0	154	185	192	377	38	177	18	4	169	1	—	—	—	—	—	—
2016	29	AAA MLE	Iowa Cubs	—	415	391	90	23	4	8	13	106	2	16	6	230	259	371	629	141	280	26	3	268	68	—	—	—	—	—	—
2017	30	AAA MLE	Toledo Mud Hens	—	152	141	23	4	2	1	6	42	1	10	1	163	203	241	444	78	211	28	4	193	17	—	—	—	—	—	—
2019	32	AAA MLE	Rieleros de Aguascalientes	—	477	436	110	25	1	7	31	93	6	12	5	252	311	362	673	110	300	19	6	293	84	—	—	—	—	—	—
2009	22	A MLE	Augusta GreenJackets	—	484	455	90	22	3	7	15	136	4	18	4	198	230	305	535	108	260	28	3	228	40	—	—	—	—	—	—
2009	22	A RAW	Augusta GreenJackets	—	484	447	109	29	3	9	23	101	4	18	4	244	287	383	669	139	291	21	5	292	40	—	—	—	—	—	—
2010	23	A+ MLE	San Jose Giants	—	596	562	133	29	6	11	20	160	5	17	15	237	269	368	637	132	307	27	3	275	72	—	—	—	—	—	—
2010	23	A+ RAW	San Jose Giants	—	596	551	164	37	10	13	31	116	5	17	15	298	341	472	813	174	353	19	5	353	72	—	—	—	—	—	—
2011	24	AA MLE	2 teams	—	672	631	136	27	11	4	24	161	4	35	9	216	249	312	561	97	280	24	4	243	51	—	—	—	—	—	—
2011	24	AA RAW	2 teams	—	672	619	164	35	13	4	36	133	4	35	9	265	310	383	692	118	329	20	5	303	51	—	—	—	—	—	—
2012	25	AA MLE	2 teams	—	679	644	171	29	5	11	21	139	8	23	19	266	297	377	675	112	323	20	3	287	80	—	—	—	—	—	—
2012	25	AA RAW	2 teams	—	679	633	188	38	4	15	32	114	8	23	19	297	339	441	780	144	343	17	5	343	80	—	—	—	—	—	—
2013	26	AAA MLE	3 teams	—	710	662	160	36	6	12	25	167	9	35	11	242	279	369	647	127	303	24	4	276	73	—	—	—	—	—	—
2013	26	AAA RAW	3 teams	—	710	652	184	43	5	12	34	131	9	35	11	282	326	419	745	137	334	18	5	325	73	—	—	—	—	—	—
2014	27	AAA MLE	3 teams	—	332	307	68	18	0	7	16	72	5	8	6	221	271	349	620	127	265	22	5	274	71	—	—	—	—	—	—
2014	27	AAA RAW	3 teams	—	332	302	84	24	0	8	20	59	5	8	6	278	332	437	769	159	321	18	6	338	71	—	—	—	—	—	—
2015	28	AAA MLE	4 teams	—	472	449	97	26	3	6	15	101	2	20	2	216	245	327	572	111	265	21	3	247	54	—	—	—	—	—	—
2015	28	AAA RAW	4 teams	—	472	439	113	31	3	8	25	86	2	20	2	257	300	396	697	139	303	18	5	306	54	—	—	—	—	—	—
2016	29	AAA MLE	2 teams	—	605	570	131	33	6	11	19	154	5	18	6	230	261	367	628	137	290	25	3	268	68	—	—	—	—	—	—
2016	29	AAA RAW	2 teams	—	605	553	155	40	5	9	33	115	5	18	6	280	325	420	744	139	333	19	5	324	68	—	—	—	—	—	—
2017	30	INTL MLE	2 teams	—	370	347	56	10	4	2	14	102	3	17	3	161	201	231	431	69	219	28	4	193	17	—	—	—	—	—	—
2017	30	INTL RAW	2 teams	—	370	336	84	17	2	4	25	76	3	17	3	250	308	348	656	98	308	21	7	293	17	—	—	—	—	—	—
2018	31	INTL MLE	Aguilas Cibaenas	—	124	103	23	5	0	0	13	25	5	3	2	223	339	272	611	49	287	20	10	—	—	—	—	—	—	—	—
2018	31	INTL RAW	Aguilas Cibaenas	—	124	103	23	5	0	0	13	25	5	3	2	223	339	272	611	49	287	20	10	286	80	—	—	—	—	—	—
2019	32	AAA MLE	2 teams	—	541	494	125	28	1	8	35	105	7	13	6	253	312	362	674	109	305	19	6	293	84	—	—	—	—	—	—
2019	32	AAA RAW	2 teams	—	541	468	146	31	1	11	59	91	7	13	6	312	396	453	849	141	367	17	11	377	84	—	—	—	—	—	—
2020	33	INTL MLE	Dominican Republic	—	47	38	9	2	1	1	7	9	1	0	0	237	370	421	791	184	276	19	15	—	—	—	—	—	—	—	—
2020	33	INTL RAW	Dominican Republic	—	47	38	9	2	1	1	7	9	1	0	0	237	370	421	791	184	276	19	15	349	122	—	—	—	—	—	—
2021	34	INTL MLE	Aguilas Cibaenas	—	63	53	12	2	0	0	10	12	0	1	0	226	349	264	613	38	293	19	16	—	—	—	—	—	—	—	—
2021	34	INTL RAW	Aguilas Cibaenas	—	63	53	12	2	0	0	10	12	0	1	0	226	349	264	613	38	293	19	16	295	86	—	—	—	—	—	—
2009	22	A MLE	Augusta GreenJackets	—	484	462	90	22	3	7	15	136	4	18	4	195	230	301	531	106	249	28	3	228	40	—	—	—	—	—	—
2010	23	A+ MLE	San Jose Giants	—	596	566	133	29	6	11	20	160	5	17	15	235	269	366	635	131	300	27	3	275	72	—	—	—	—	—	—
2011	24	AA MLE	2 teams	—	672	639	136	27	11	4	24	161	4	35	9	213	249	308	557	95	275	24	4	243	51	—	—	—	—	—	—
2012	25	AA MLE	2 teams	—	679	645	171	29	5	11	21	139	8	23	19	265	297	377	674	112	317	20	3	287	80	—	—	—	—	—	—
2013	26	AAA MLE	3 teams	—	710	670	160	36	6	12	25	167	9	35	11	239	279	364	643	125	294	24	4	276	73	—	—	—	—	—	—
2014	27	AAA MLE	3 teams	—	332	308	68	18	0	7	16	72	5	8	6	221	271	347	619	127	266	22	5	274	71	—	—	—	—	—	—
2015	28	AAA MLE	4 teams	—	472	452	97	26	3	6	15	101	2	20	2	215	245	325	570	111	260	21	3	247	54	—	—	—	—	—	—
2016	29	AAA MLE	2 teams	—	605	576	131	33	6	11	19	154	5	18	6	227	261	363	624	135	280	25	3	268	68	—	—	—	—	—	—
2017	30	INTL MLE	2 teams	—	370	350	56	10	4	2	14	102	3	17	3	160	201	229	429	69	211	28	4	193	17	—	—	—	—	—	—
2019	32	AAA MLE	2 teams	—	541	494	125	28	1	8	35	105	7	13	6	253	312	362	674	109	300	19	6	293	84	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	246	228	51	15	0	2	12	52	2	3	1	224	269	316	584	92	280	21	5	260	56	-11	+0	+9	-6	+5	-0.2
/ 162G	—	A+C		—	650	602	135	40	0	5	32	137	5	8	3	224	269	316	585	91	281	21	5	260	56	-29	+1	+25	-16	+14	-0.6
Career	—	MLE		—	5695	5315	1211	267	46	80	234	1343	58	208	83	228	268	341	609	113	287	24	4	251	56	-11	+0	+9	-6	+5	-0.2
/ 162G	—	MLE		—	650	607	137	30	5	9	27	153	7	24	9	226	267	336	603	110	284	24	4	251	56	-29	+1	+25	-16	+14	-0.6

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.

2019 AAARieleros de Aguascalientes · 477 PAwOBA .391 → .293 (−98)K% 15.1% → 19.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.09%	÷0.936	×1.200	—	—	19.35%
BB% (unintentional) /PA	10.48%	÷1.051	×0.690	—	×0.942	6.49%
HBP% /PA	1.26%	—	×0.940	—	×0.942	1.11%
Singles /BIP	27.94%	÷1.050	×0.930	×0.950	×0.942	22.14%
Doubles /BIP	9.12%	÷0.954	×0.830	×0.950	×0.942	7.10%
Triples /BIP	0.29%	÷1.065	×0.920	×0.950	×0.942	0.23%
Home runs /BIP	3.24%	÷1.115	×0.700	—	×0.942	1.91%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 123, 1B 110, 2B 91, 3B 113, K 87, BB 110 — 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 ×0.950.

Result: wOBA .391 → .293; ISO .160 → .112; BABIP .385 → .300. 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 AAAToledo Mud Hens · 152 PAwOBA .243 → .193 (−49)K% 23.0% → 27.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.03%	÷1.004	×1.200	—	—	27.52%
BB% (unintentional) /PA	5.92%	÷0.996	×0.690	—	×0.962	3.95%
HBP% /PA	0.66%	—	×0.940	—	×0.962	0.59%
Singles /BIP	19.61%	÷1.054	×0.930	×0.960	×0.962	15.98%
Doubles /BIP	4.90%	÷0.916	×0.830	×0.960	×0.962	4.10%
Triples /BIP	1.96%	÷1.150	×0.970	×0.960	×0.962	1.53%
Home runs /BIP	0.98%	÷1.049	×0.840	—	×0.962	0.76%

Factors used: league row IL. Park (home-season share, regressed): HR 110, 1B 111, 2B 83, 3B 130, K 101, BB 99 — 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 ×0.960.

Result: wOBA .243 → .193; ISO .088 → .071; BABIP .260 → .211. 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 AAAIowa Cubs · 415 PAwOBA .321 → .268 (−53)K% 20.5% → 25.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.48%	÷1.037	×1.290	—	—	25.48%
BB% (unintentional) /PA	4.82%	÷1.034	×0.710	—	×0.972	3.22%
HBP% /PA	0.48%	—	×0.980	—	×0.972	0.46%
Singles /BIP	21.62%	÷1.006	×0.900	×0.999	×0.972	18.78%
Doubles /BIP	9.12%	÷0.927	×0.810	×0.999	×0.972	7.74%
Triples /BIP	1.69%	÷0.945	×0.810	×0.999	×0.972	1.41%
Home runs /BIP	3.04%	÷0.890	×0.780	—	×0.972	2.59%

Factors used: league row PCL. Park (home-season share, regressed): HR 78, 1B 101, 2B 85, 3B 89, K 107, BB 107 — 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 ×0.999.

Result: wOBA .321 → .268; ISO .168 → .141; BABIP .327 → .280. 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 AAASacramento River Cats · 344 PAwOBA .308 → .248 (−60)K% 18.0% → 22.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.02%	÷1.047	×1.290	—	—	22.21%
BB% (unintentional) /PA	4.36%	÷0.960	×0.710	—	×0.982	3.17%
HBP% /PA	0.58%	—	×0.980	—	×0.982	0.56%
Singles /BIP	19.69%	÷1.003	×0.900	×0.989	×0.982	17.16%
Doubles /BIP	9.27%	÷1.024	×0.810	×0.989	×0.982	7.12%
Triples /BIP	1.16%	÷0.925	×0.810	×0.989	×0.982	0.99%
Home runs /BIP	2.70%	÷0.982	×0.780	—	×0.982	2.11%

Factors used: league row PCL. Park (home-season share, regressed): HR 96, 1B 101, 2B 105, 3B 85, K 109, BB 92 — 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 ×0.989.

Result: wOBA .308 → .248; ISO .159 → .122; BABIP .310 → .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).

2015 A+San Jose Giants · 28 PAwOBA .216 → .169 (−47)K% 14.3% → 19.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.29%	÷0.983	×1.340	—	—	19.47%
BB% (unintentional) /PA	3.57%	÷0.996	×0.710	—	×0.940	2.39%
HBP% /PA	0.00%	—	×0.790	—	×0.940	0.00%
Singles /BIP	13.64%	÷0.971	×0.910	—	×0.940	12.01%
Doubles /BIP	9.09%	÷1.071	×0.820	—	×0.940	6.54%
Triples /BIP	0.00%	÷1.150	×0.760	—	×0.940	0.00%
Home runs /BIP	0.00%	÷1.031	×0.920	—	×0.940	0.00%

Factors used: league row CAL. Park (home-season share, regressed): HR 106, 1B 94, 2B 114, 3B 130, K 97, BB 99 — applied at half strength. Age: age 29 vs a level average of 22.8 → −6.0% on BB/HBP/hit rates (6.2 yr older than average).

Result: wOBA .216 → .169; ISO .077 → .055; BABIP .217 → .177. 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 AAAFresno Grizzlies · 196 PAwOBA .380 → .301 (−79)K% 16.3% → 21.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.33%	÷0.994	×1.290	—	—	21.19%
BB% (unintentional) /PA	7.14%	÷1.005	×0.710	—	×0.992	5.00%
HBP% /PA	1.53%	—	×0.980	—	×0.992	1.49%
Singles /BIP	24.83%	÷1.002	×0.900	×0.982	×0.992	21.74%
Doubles /BIP	8.97%	÷1.014	×0.810	×0.982	×0.992	6.98%
Triples /BIP	0.00%	÷0.900	×0.810	×0.982	×0.992	0.00%
Home runs /BIP	4.83%	÷1.045	×0.780	—	×0.992	3.58%

Factors used: league row PCL. Park (home-season share, regressed): HR 109, 1B 100, 2B 103, 3B 80, K 99, BB 101 — 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 ×0.982.

Result: wOBA .380 → .301; ISO .192 → .142; BABIP .350 → .293. 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 AAAFresno Grizzlies · 409 PAwOBA .335 → .272 (−64)K% 18.3% → 23.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.34%	÷0.989	×1.290	—	—	23.91%
BB% (unintentional) /PA	3.67%	÷0.908	×0.710	—	×1.003	2.88%
HBP% /PA	1.22%	—	×0.980	—	×1.003	1.20%
Singles /BIP	22.48%	÷0.999	×0.900	×0.972	×1.003	19.74%
Doubles /BIP	8.79%	÷0.974	×0.810	×0.972	×1.003	7.13%
Triples /BIP	1.63%	÷0.954	×0.810	×0.972	×1.003	1.35%
Home runs /BIP	3.26%	÷0.994	×0.780	—	×1.003	2.56%

Factors used: league row PCL. Park (home-season share, regressed): HR 99, 1B 100, 2B 95, 3B 91, K 98, BB 82 — 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 ×0.972.

Result: wOBA .335 → .272; ISO .175 → .135; BABIP .337 → .287. 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 AARichmond Flying Squirrels · 513 PAwOBA .336 → .287 (−50)K% 16.6% → 20.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.57%	÷0.992	×1.220	—	—	20.37%
BB% (unintentional) /PA	4.29%	÷0.950	×0.700	—	×0.988	3.12%
HBP% /PA	1.17%	—	×0.850	—	×0.988	0.98%
Singles /BIP	26.38%	÷1.023	×0.970	×0.991	×0.988	24.50%
Doubles /BIP	6.53%	÷0.979	×0.860	×0.991	×0.988	5.62%
Triples /BIP	1.01%	÷1.011	×0.950	×0.991	×0.988	0.92%
Home runs /BIP	2.76%	÷1.031	×0.780	—	×0.988	2.07%

Factors used: league row EL. Park (home-season share, regressed): HR 106, 1B 105, 2B 96, 3B 102, K 98, BB 90 — applied at half strength. Age: age 26 vs a level average of 24.8 → −1.2% on BB/HBP/hit rates (1.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.991.

Result: wOBA .336 → .287; ISO .139 → .110; BABIP .349 → .317. 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 — .