Jerry Sands

PosLF

B/TR/R

Born1987-09-28

Age (2027)39

No MLB projection yet. Career stats below are historical.

Overview

AALAST SEASON 2018

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2016	28	AAACWS	301	.252/.320/.393	8	0	62	—	.215/.263/.333
2016	28	MLBCWS	58	.236/.276/.291	1	0	61	-0.8
2017	29	AASF	254	.298/.403/.484	5	3	100	—	.246/.320/.390
2018	30	AAA/AASF	371	.269/.362/.505	16	4	90	—	.225/.292/.411
2019	31	No MLB games played
2020	32	No MLB games played
2021	33	No MLB games played
2022	34	No MLB games played
2023	35	No MLB games played
2024	36	No MLB games played
2025	37	No MLB games played
2026	38	No MLB games played

Last 3 seasons WAR -0.8

Contract

No contract data on file.

Skills · percentileStatcast 2015-2016

Avg EV54

Barrel%25

xwOBA12

Speed10

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)
2008	20	ROK	GCL Dodgers	—	185	146	30	4	0	10	29	43	5	5	0	205	356	438	794	233	204	23	16	348	51	—	—	—	—	—	—
2009	21	A	Great Lakes Loons	—	123	104	27	7	2	5	15	32	2	1	0	260	364	510	873	250	324	26	12	377	82	—	—	—	—	—	—
2009	21	ROK	Ogden Raptors	—	185	163	57	9	2	14	22	28	0	0	1	350	427	687	1.114	337	355	15	12	477	115	—	—	—	—	—	—
2010	22	AA	Chattanooga Lookouts	—	303	259	70	12	2	17	33	62	6	4	0	270	366	529	895	259	286	20	11	385	106	—	—	—	—	—	—
2010	22	A	Great Lakes Loons	—	288	243	81	16	3	18	40	61	3	14	2	333	432	646	1.078	313	382	21	14	461	132	—	—	—	—	—	—
2010	22	INTL	Phoenix Desert Dogs	—	105	87	26	8	0	3	16	19	1	2	1	299	413	494	908	195	348	18	15	400	157	—	—	—	—	—	—
2011	23	MLB	Los Angeles Dodgers	—	227	198	50	15	0	4	25	51	1	3	3	253	339	389	728	136	319	22	11	325	112	+3	-1	-2	-8	+5	-0.2
2011	23	AAA	Albuquerque Isotopes	—	418	370	103	21	3	29	38	86	3	3	1	278	350	586	937	308	282	21	9	397	80	—	—	—	—	—	—
2011	23	INTL	Tigres del Licey	—	80	72	18	3	0	2	7	20	1	1	0	250	325	375	700	125	320	25	9	317	101	—	—	—	—	—	—
2012	24	MLB	Los Angeles Dodgers	—	24	23	4	2	0	0	1	9	0	0	0	174	208	261	469	87	286	38	4	211	35	-2	+0	+1	-6	+1	-0.6
2012	24	AAA	Albuquerque Isotopes	—	522	452	134	17	4	26	59	106	3	1	0	296	381	524	906	228	329	20	11	392	90	—	—	—	—	—	—
2013	25	AAA	Indianapolis Indians	—	397	343	71	17	2	7	50	105	2	0	1	207	311	329	641	122	276	26	13	294	49	—	—	—	—	—	—
2013	25	INTL	Indios de Mayaguez	—	100	84	20	5	0	4	13	26	0	0	1	238	340	440	781	202	281	26	13	338	115	—	—	—	—	—	—
2014	26	MLB	Tampa Bay Rays	—	22	21	4	0	0	1	0	6	1	0	0	190	227	333	561	143	214	27	0	251	56	-1	+0	+0	-3	+0	-0.3
2014	26	AAA	Durham Bulls	—	219	190	51	12	0	9	26	53	0	1	0	268	356	474	830	205	321	24	12	363	92	—	—	—	—	—	—
2015	27	MLB	Cleveland Indians	—	133	123	29	5	1	4	9	36	0	0	0	236	288	390	678	154	298	27	7	299	90	-2	+0	-1	-4	+3	-0.4
2015	27	AAA	Columbus Clippers	—	276	223	64	12	1	14	45	40	4	1	2	287	415	538	954	251	289	14	16	413	109	—	—	—	—	—	—
2016	28	MLB	Chicago White Sox	—	58	55	13	0	0	1	3	24	0	0	0	236	276	291	567	55	400	41	5	259	61	-3	+0	-0	-6	+1	-0.8
2016	28	AAA	Charlotte Knights	—	301	270	68	12	1	8	26	62	1	0	1	252	320	393	712	141	297	21	9	316	62	—	—	—	—	—	—
2017	29	AA	Richmond Flying Squirrels	—	254	215	64	17	4	5	38	44	0	3	1	298	403	484	887	186	353	17	15	392	100	—	—	—	—	—	—
2018	30	AAA	Sacramento River Cats	—	82	71	22	4	0	3	10	13	1	1	0	310	402	493	895	183	345	16	12	398	109	—	—	—	—	—	—
2018	30	AA	Richmond Flying Squirrels	—	289	252	65	24	0	13	34	65	2	3	0	258	351	508	859	250	297	22	12	375	84	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	464	420	100	22	1	10	38	126	2	3	3	238	304	367	671	129	315	27	8	300	89	-6	-1	-2	-27	+10	-2.6
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2008	20	ROK MLE	GCL Dodgers	—	185	157	23	3	0	8	18	62	5	5	0	146	256	318	574	172	149	34	10	244	51	—	—	—	—	—	—
2009	21	A MLE	Great Lakes Loons	—	123	109	22	5	2	4	10	44	2	1	0	202	281	394	675	193	286	36	8	289	82	—	—	—	—	—	—
2009	21	ROK MLE	Ogden Raptors	—	185	172	43	6	1	10	13	40	0	0	1	250	303	471	774	221	280	22	7	338	115	—	—	—	—	—	—
2010	22	AA MLE	Chattanooga Lookouts	—	303	271	65	11	2	14	21	75	6	4	0	240	309	450	759	210	261	25	7	325	106	—	—	—	—	—	—
2010	22	A MLE	Great Lakes Loons	—	288	260	69	13	3	14	24	79	3	14	2	265	334	500	834	235	323	27	8	363	132	—	—	—	—	—	—
2011	23	MLB MLE	Los Angeles Dodgers	—	227	198	51	16	0	4	25	51	1	3	3	258	344	399	743	141	319	22	11	333	112	+3	-1	-2	-8	+5	-0.2
2011	23	AAA MLE	Albuquerque Isotopes	—	418	382	76	16	2	19	26	120	3	3	1	199	255	401	656	202	225	29	6	286	80	—	—	—	—	—	—
2012	24	MLB MLE	Los Angeles Dodgers	—	24	23	4	2	0	0	1	9	0	0	0	174	208	261	469	87	286	38	4	220	35	-2	+0	+1	-6	+1	-0.6
2012	24	AAA MLE	Albuquerque Isotopes	—	522	467	107	12	3	20	44	146	3	1	0	229	300	396	696	167	273	28	8	301	90	—	—	—	—	—	—
2013	25	AAA MLE	Indianapolis Indians	—	397	359	64	14	2	6	34	139	2	0	1	178	253	279	532	100	266	35	9	240	49	—	—	—	—	—	—
2014	26	MLB MLE	Tampa Bay Rays	—	22	21	4	0	0	1	0	6	1	0	0	190	227	333	561	143	214	27	0	252	56	-1	+0	+0	-3	+0	-0.3
2014	26	AAA MLE	Durham Bulls	—	219	197	46	10	0	7	19	60	0	1	0	234	301	391	692	157	284	27	9	304	92	—	—	—	—	—	—
2015	27	MLB MLE	Cleveland Indians	—	133	123	29	5	1	4	9	36	0	0	0	236	288	390	678	154	298	27	7	301	90	-2	+0	-1	-4	+3	-0.4
2015	27	AAA MLE	Columbus Clippers	—	276	239	57	10	1	10	29	47	4	1	2	238	331	414	745	176	250	17	11	329	109	—	—	—	—	—	—
2016	28	MLB MLE	Chicago White Sox	—	58	55	13	0	0	1	3	24	0	0	0	236	276	291	567	55	400	41	5	259	61	-3	+0	-0	-6	+1	-0.8
2016	28	AAA MLE	Charlotte Knights	—	301	279	60	10	1	7	17	71	1	0	1	215	263	333	596	118	255	24	6	260	62	—	—	—	—	—	—
2017	29	AA MLE	Richmond Flying Squirrels	—	254	228	56	13	4	4	25	57	0	3	1	246	320	390	711	145	309	22	10	316	100	—	—	—	—	—	—
2018	30	AAA MLE	Sacramento River Cats	—	82	74	20	4	0	2	7	16	1	1	0	270	341	405	747	135	318	20	9	329	109	—	—	—	—	—	—
2018	30	AA MLE	Richmond Flying Squirrels	—	289	264	56	20	0	11	22	81	2	3	0	212	278	413	691	201	254	28	8	293	84	—	—	—	—	—	—
2008	20	ROK MLE	GCL Dodgers	—	185	157	23	3	0	8	18	62	5	5	0	146	256	318	574	172	163	34	10	244	51	—	—	—	—	—	—
2008	20	ROK RAW	GCL Dodgers	—	185	146	30	4	0	10	29	43	5	5	0	205	356	438	794	233	204	23	16	348	51	—	—	—	—	—	—
2009	21	ROK MLE	2 teams	—	308	281	67	12	3	14	23	84	2	1	1	238	301	452	753	214	288	27	7	318	102	—	—	—	—	—	—
2009	21	ROK RAW	2 teams	—	308	267	84	16	4	19	37	60	2	1	1	315	402	618	1.020	303	344	19	12	437	102	—	—	—	—	—	—
2010	22	AA MLE	3 teams	—	696	626	157	28	5	34	53	181	10	20	3	251	319	474	794	224	294	26	8	344	119	—	—	—	—	—	—
2010	22	AA RAW	3 teams	—	696	589	177	36	5	38	89	142	10	20	3	301	401	572	973	272	334	20	13	419	119	—	—	—	—	—	—
2011	23	AAA MLE	3 teams	—	725	652	144	36	2	26	58	192	5	7	4	221	290	402	691	181	267	26	8	303	91	—	—	—	—	—	—
2011	23	AAA RAW	3 teams	—	725	640	171	39	3	35	70	157	5	7	4	267	344	502	846	234	298	22	10	366	91	—	—	—	—	—	—
2012	24	AAA MLE	2 teams	—	546	490	111	14	3	20	45	155	3	1	0	227	296	390	685	163	282	28	8	297	87	—	—	—	—	—	—
2012	24	AAA RAW	2 teams	—	546	475	138	19	4	26	60	115	3	1	0	291	374	512	885	221	327	21	11	384	87	—	—	—	—	—	—
2013	25	AAA MLE	2 teams	—	497	447	80	18	2	8	43	173	2	0	2	179	254	282	536	103	267	35	9	240	49	—	—	—	—	—	—
2013	25	AAA RAW	2 teams	—	497	427	91	22	2	11	63	131	2	0	2	213	317	351	668	138	277	26	13	303	49	—	—	—	—	—	—
2014	26	AAA MLE	2 teams	—	241	218	50	10	0	8	19	66	1	1	0	229	294	385	679	156	286	27	8	299	89	—	—	—	—	—	—
2014	26	AAA RAW	2 teams	—	241	211	55	12	0	10	26	59	1	1	0	261	345	460	804	199	310	24	11	353	89	—	—	—	—	—	—
2015	27	AAA MLE	2 teams	—	409	362	86	15	2	14	38	83	4	1	2	238	317	406	723	169	267	20	9	320	103	—	—	—	—	—	—
2015	27	AAA RAW	2 teams	—	409	346	93	17	2	18	54	76	4	1	2	269	374	486	859	217	292	19	13	376	103	—	—	—	—	—	—
2016	28	AAA MLE	2 teams	—	359	334	73	10	1	8	20	95	1	0	1	219	265	326	591	108	279	26	6	260	62	—	—	—	—	—	—
2016	28	AAA RAW	2 teams	—	359	325	81	12	1	9	29	86	1	0	1	249	313	375	688	126	310	24	8	307	62	—	—	—	—	—	—
2017	29	AA MLE	Richmond Flying Squirrels	—	254	228	56	13	4	4	25	57	0	3	1	246	320	390	711	145	310	22	10	316	100	—	—	—	—	—	—
2017	29	AA RAW	Richmond Flying Squirrels	—	254	215	64	17	4	5	38	44	0	3	1	298	403	484	887	186	353	17	15	392	100	—	—	—	—	—	—
2018	30	AA MLE	2 teams	—	371	338	75	23	0	13	29	97	3	4	0	222	289	405	695	183	271	26	8	301	90	—	—	—	—	—	—
2018	30	AA RAW	2 teams	—	371	323	87	28	0	16	44	78	3	4	0	269	362	505	867	235	309	21	12	380	90	—	—	—	—	—	—
2008	20	ROK MLE	GCL Dodgers	—	185	160	23	3	0	8	18	62	5	5	0	144	256	312	568	169	149	34	10	244	51	—	—	—	—	—	—
2009	21	ROK MLE	2 teams	—	308	280	67	12	3	14	23	84	2	1	1	239	301	454	754	214	282	27	7	318	102	—	—	—	—	—	—
2010	22	AA MLE	3 teams	—	696	628	157	28	5	34	53	181	10	20	3	250	319	473	792	223	291	26	8	344	119	—	—	—	—	—	—
2011	23	AAA MLE	3 teams	—	725	656	144	36	2	26	58	192	5	7	4	220	290	399	689	180	258	26	8	303	91	—	—	—	—	—	—
2012	24	AAA MLE	2 teams	—	546	493	111	14	3	20	45	155	3	1	0	225	296	387	683	162	274	28	8	297	87	—	—	—	—	—	—
2013	25	AAA MLE	2 teams	—	497	449	80	18	2	8	43	173	2	0	2	178	254	281	535	102	266	35	9	240	49	—	—	—	—	—	—
2014	26	AAA MLE	2 teams	—	241	219	50	10	0	8	19	66	1	1	0	228	294	384	678	155	278	27	8	299	89	—	—	—	—	—	—
2015	27	AAA MLE	2 teams	—	409	364	86	15	2	14	38	83	4	1	2	236	317	404	721	168	265	20	9	320	103	—	—	—	—	—	—
2016	28	AAA MLE	2 teams	—	359	335	73	10	1	8	20	95	1	0	1	218	265	325	590	107	278	26	6	260	62	—	—	—	—	—	—
2017	29	AA MLE	Richmond Flying Squirrels	—	254	227	56	13	4	4	25	57	0	3	1	247	320	392	712	145	309	22	10	316	100	—	—	—	—	—	—
2018	30	AA MLE	2 teams	—	371	336	75	23	0	13	29	97	3	4	0	223	289	408	697	185	268	26	8	301	90	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	464	420	100	22	1	10	38	126	2	3	3	238	304	367	671	129	315	27	8	300	88	-6	-1	-2	-27	+10	-2.6
/ 162G	—	A+C		—	650	588	140	31	1	14	53	177	3	4	4	238	304	366	670	128	315	27	8	300	88	-8	-1	-3	-38	+14	-3.7
Career	—	MLE		—	4591	4133	922	182	22	157	371	1245	36	43	14	223	293	392	684	169	276	27	8	299	88	-6	-1	-2	-27	+10	-2.6
/ 162G	—	MLE		—	650	585	130	26	3	22	53	176	5	6	2	222	292	390	682	168	275	27	8	299	88	-8	-1	-3	-38	+14	-3.7

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 AARichmond Flying Squirrels · 289 PAwOBA .365 → .293 (−72)K% 22.5% → 28.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.49%	÷0.975	×1.220	—	—	28.13%
BB% (unintentional) /PA	11.42%	÷0.983	×0.700	—	×0.940	7.64%
HBP% /PA	0.69%	—	×0.850	—	×0.940	0.55%
Singles /BIP	14.97%	÷0.995	×0.970	×0.975	×0.940	13.38%
Doubles /BIP	12.83%	÷0.949	×0.860	×0.975	×0.940	10.66%
Triples /BIP	0.00%	÷1.150	×0.950	×0.975	×0.940	0.00%
Home runs /BIP	6.95%	÷0.869	×0.780	—	×0.940	5.87%

Factors used: league row EL. Park (home-season share, regressed): HR 74, 1B 99, 2B 90, 3B 130, K 95, BB 97 — applied at half strength. Age: age 31 vs a level average of 24.8 → −6.0% on BB/HBP/hit rates (6.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.975.

Result: wOBA .365 → .293; ISO .250 → .206; BABIP .297 → .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).

2018 AAASacramento River Cats · 82 PAwOBA .388 → .329 (−59)K% 15.9% → 19.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.85%	÷1.071	×1.290	—	—	19.09%
BB% (unintentional) /PA	12.20%	÷1.043	×0.710	—	×0.962	7.99%
HBP% /PA	1.22%	—	×0.980	—	×0.962	1.15%
Singles /BIP	25.86%	÷0.963	×0.900	×1.050	×0.962	24.41%
Doubles /BIP	6.90%	÷0.910	×0.810	×1.050	×0.962	6.20%
Triples /BIP	0.00%	÷1.150	×0.810	×1.050	×0.962	0.00%
Home runs /BIP	5.17%	÷0.998	×0.780	—	×0.962	3.89%

Factors used: league row PCL. Park (home-season share, regressed): HR 100, 1B 93, 2B 82, 3B 130, K 114, BB 109 — 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 ×1.050.

Result: wOBA .388 → .329; ISO .183 → .148; BABIP .345 → .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).

2017 AARichmond Flying Squirrels · 254 PAwOBA .381 → .316 (−66)K% 17.3% → 22.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.32%	÷0.948	×1.220	—	—	22.29%
BB% (unintentional) /PA	14.17%	÷0.974	×0.700	—	×0.948	9.65%
HBP% /PA	0.00%	—	×0.850	—	×0.948	0.00%
Singles /BIP	22.22%	÷1.004	×0.970	×1.006	×0.948	20.46%
Doubles /BIP	9.94%	÷1.096	×0.860	×1.006	×0.948	7.44%
Triples /BIP	2.34%	÷0.900	×0.950	×1.006	×0.948	2.35%
Home runs /BIP	2.92%	÷0.848	×0.780	—	×0.948	2.55%

Factors used: league row EL. Park (home-season share, regressed): HR 70, 1B 101, 2B 119, 3B 80, K 90, BB 95 — 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 ×1.006.

Result: wOBA .381 → .316; ISO .186 → .159; BABIP .353 → .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).

2016 AAACharlotte Knights · 301 PAwOBA .308 → .260 (−48)K% 20.6% → 23.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.60%	÷1.053	×1.200	—	—	23.48%
BB% (unintentional) /PA	8.31%	÷0.990	×0.690	—	×0.982	5.68%
HBP% /PA	0.33%	—	×0.940	—	×0.982	0.31%
Singles /BIP	22.60%	÷1.031	×0.930	×0.984	×0.982	19.68%
Doubles /BIP	5.77%	÷0.974	×0.830	×0.984	×0.982	4.75%
Triples /BIP	0.48%	÷0.926	×0.970	×0.984	×0.982	0.49%
Home runs /BIP	3.85%	÷0.950	×0.840	—	×0.982	3.34%

Factors used: league row IL. Park (home-season share, regressed): HR 90, 1B 106, 2B 95, 3B 85, K 111, BB 98 — 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 ×0.984.

Result: wOBA .308 → .260; ISO .141 → .124; BABIP .297 → .255. 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 AAAColumbus Clippers · 276 PAwOBA .408 → .329 (−80)K% 14.5% → 17.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.49%	÷1.009	×1.200	—	—	17.23%
BB% (unintentional) /PA	16.30%	÷1.068	×0.690	—	×0.992	10.45%
HBP% /PA	1.45%	—	×0.940	—	×0.992	1.35%
Singles /BIP	20.22%	÷1.005	×0.930	×0.990	×0.992	18.39%
Doubles /BIP	6.56%	÷1.019	×0.830	×0.990	×0.992	5.25%
Triples /BIP	0.55%	÷0.900	×0.970	×0.990	×0.992	0.58%
Home runs /BIP	7.65%	÷1.217	×0.840	—	×0.992	5.24%

Factors used: league row IL. Park (home-season share, regressed): HR 143, 1B 101, 2B 104, 3B 80, K 102, BB 114 — 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 ×0.990.

Result: wOBA .408 → .329; ISO .251 → .194; BABIP .289 → .250. 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 AAADurham Bulls · 219 PAwOBA .358 → .304 (−54)K% 24.2% → 27.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.20%	÷1.070	×1.200	—	—	27.15%
BB% (unintentional) /PA	11.87%	÷0.950	×0.690	—	×1.003	8.65%
HBP% /PA	0.00%	—	×0.940	—	×1.003	0.00%
Singles /BIP	21.90%	÷1.005	×0.930	×1.002	×1.003	20.37%
Doubles /BIP	8.76%	÷1.023	×0.830	×1.002	×1.003	7.14%
Triples /BIP	0.00%	÷0.900	×0.970	×1.002	×1.003	0.00%
Home runs /BIP	6.57%	÷1.046	×0.840	—	×1.003	5.29%

Factors used: league row IL. Park (home-season share, regressed): HR 109, 1B 101, 2B 105, 3B 80, K 114, BB 90 — 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 ×1.002.

Result: wOBA .358 → .304; ISO .205 → .170; BABIP .321 → .284. 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 AAAIndianapolis Indians · 397 PAwOBA .287 → .240 (−47)K% 26.4% → 34.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	26.45%	÷0.909	×1.200	—	—	34.92%
BB% (unintentional) /PA	12.34%	÷1.012	×0.690	—	×1.018	8.57%
HBP% /PA	0.50%	—	×0.940	—	×1.018	0.48%
Singles /BIP	18.91%	÷0.978	×0.930	×1.024	×1.018	18.73%
Doubles /BIP	7.14%	÷0.954	×0.830	×1.024	×1.018	6.48%
Triples /BIP	0.84%	÷1.080	×0.970	×1.024	×1.018	0.79%
Home runs /BIP	2.94%	÷0.901	×0.840	—	×1.018	2.79%

Factors used: league row IL. Park (home-season share, regressed): HR 80, 1B 96, 2B 91, 3B 116, K 82, BB 102 — 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 ×1.024.

Result: wOBA .287 → .240; ISO .122 → .107; BABIP .276 → .266. 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 AAAAlbuquerque Isotopes · 522 PAwOBA .387 → .301 (−86)K% 20.3% → 28.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.31%	÷0.935	×1.290	—	—	28.00%
BB% (unintentional) /PA	11.11%	÷0.962	×0.710	—	×1.033	8.47%
HBP% /PA	0.57%	—	×0.980	—	×1.033	0.58%
Singles /BIP	25.14%	÷1.034	×0.900	×0.971	×1.033	21.94%
Doubles /BIP	4.91%	÷1.135	×0.810	×0.971	×1.033	3.52%
Triples /BIP	1.16%	÷1.055	×0.810	×0.971	×1.033	0.89%
Home runs /BIP	7.51%	÷1.018	×0.780	—	×1.033	5.95%

Factors used: league row PCL. Park (home-season share, regressed): HR 104, 1B 107, 2B 127, 3B 111, K 87, BB 92 — 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 ×0.971.

Result: wOBA .387 → .301; ISO .228 → .168; BABIP .329 → .273. 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 — .