Jesus Valdez

PosLF

B/TR/R

Born1984-11-02

Age (2027)42

No MLB projection yet. Career stats below are historical.

Overview

INTLLAST SEASON 2023

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2019	34	AAA/INTL2 orgs	663	.306/.350/.504	28	2	98	—	.245/.278/.383
2020	35	INTLYaquis de Obr…	122	.246/.277/.316	1	1	64	—
2023	38	INTLVenados de Ma…	204	.320/.353/.418	3	2	120	—

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)
2006	21	A	Peoria Chiefs	—	547	510	154	25	1	5	22	73	9	10	6	302	342	384	726	82	343	13	4	324	75	—	—	—	—	—	—
2007	22	A+	Daytona Cubs	—	313	288	72	11	4	1	18	40	4	2	3	250	303	326	630	76	284	13	6	284	53	—	—	—	—	—	—
2008	23	A	Hagerstown Suns	—	114	108	31	6	0	3	3	16	1	0	0	287	312	426	738	139	308	14	3	322	65	—	—	—	—	—	—
2009	24	A+	Potomac Nationals	—	367	343	102	20	2	9	18	53	5	6	3	297	342	446	788	149	330	14	5	349	80	—	—	—	—	—	—
2009	24	ROK	GCL Nationals	—	18	14	4	0	0	3	1	1	1	0	0	286	375	929	1.304	643	100	6	6	477	146	—	—	—	—	—	—
2010	25	AA	Harrisburg Senators	—	569	527	144	31	4	9	28	83	8	2	2	273	320	398	718	125	307	15	5	318	72	—	—	—	—	—	—
2010	25	INTL	Leones del Escogido	—	44	44	12	2	0	1	0	9	0	0	0	273	273	386	659	114	324	20	0	291	83	—	—	—	—	—	—
2011	26	AAA	Syracuse Chiefs	—	428	388	105	19	0	10	28	68	3	3	2	271	325	397	721	126	298	16	7	317	75	—	—	—	—	—	—
2011	26	AA	Harrisburg Senators	—	118	111	29	8	0	2	4	25	3	1	0	261	305	387	692	126	321	21	3	310	63	—	—	—	—	—	—
2012	27	AAA	Syracuse Chiefs	—	168	156	41	6	1	6	9	29	1	0	0	263	307	429	737	167	285	17	5	322	72	—	—	—	—	—	—
2012	27	AA	Harrisburg Senators	—	288	269	79	19	3	4	11	40	4	2	1	294	331	431	762	138	328	14	4	334	86	—	—	—	—	—	—
2015	30	AAA	Leones de Yucatan	—	455	410	149	24	1	17	34	54	2	5	5	363	415	551	966	188	379	12	7	417	125	—	—	—	—	—	—
2015	30	INTL	Charros de Jalisco	—	243	222	77	14	2	5	11	26	1	2	2	347	380	495	876	149	362	11	5	373	139	—	—	—	—	—	—
2016	31	AAA	Leones de Yucatan	—	427	386	119	25	1	18	33	64	4	2	1	308	369	518	887	210	328	15	8	386	92	—	—	—	—	—	—
2016	31	INTL	Charros de Jalisco	—	228	202	62	7	0	6	18	29	5	0	3	307	378	431	808	124	333	13	8	360	130	—	—	—	—	—	—
2017	32	AAA	Vaqueros Union Laguna	—	388	350	127	26	2	16	32	39	4	3	3	363	422	586	1.008	223	374	10	8	439	120	—	—	—	—	—	—
2017	32	INTL	Navegantes del Magallanes	—	281	233	79	14	0	18	36	36	9	1	1	339	446	631	1.077	292	335	13	13	462	198	—	—	—	—	—	—
2018	33	INTL	Mexico	—	286	250	80	13	1	6	34	41	0	2	0	320	401	452	853	132	361	14	12	380	144	—	—	—	—	—	—
2019	34	AAA	Toros de Tijuana	—	387	359	113	21	0	19	23	62	3	1	2	315	361	532	893	217	336	16	6	390	81	—	—	—	—	—	—
2019	34	INTL	Yaquis de Obregon	—	276	258	76	17	0	9	14	55	1	1	1	295	333	465	798	171	340	20	5	349	122	—	—	—	—	—	—
2020	35	INTL	Yaquis de Obregon	—	122	114	28	5	0	1	2	16	3	1	0	246	277	316	593	70	270	13	2	262	64	—	—	—	—	—	—
2023	38	INTL	Venados de Mazatlan	—	204	194	62	10	0	3	10	23	0	2	2	320	353	418	770	98	351	11	5	345	120	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2006	21	A MLE	Peoria Chiefs	—	547	518	141	21	1	4	14	99	9	10	6	272	303	340	643	68	321	18	3	279	75	—	—	—	—	—	—
2007	22	A+ MLE	Daytona Cubs	—	313	293	65	10	3	1	13	57	4	2	3	222	265	287	551	65	268	18	4	247	53	—	—	—	—	—	—
2008	23	A MLE	Hagerstown Suns	—	114	109	26	5	0	2	2	21	1	0	0	239	259	339	598	101	270	18	2	264	65	—	—	—	—	—	—
2009	24	A+ MLE	Potomac Nationals	—	367	350	91	16	2	8	11	75	5	6	3	260	292	386	678	126	305	20	3	287	80	—	—	—	—	—	—
2009	24	ROK MLE	GCL Nationals	—	18	14	4	0	0	3	1	1	1	0	0	286	375	929	1.304	643	72	6	6	384	146	—	—	—	—	—	—
2010	25	AA MLE	Harrisburg Senators	—	569	537	134	29	3	7	18	104	8	2	2	250	284	354	638	104	289	18	3	275	72	—	—	—	—	—	—
2011	26	AAA MLE	Syracuse Chiefs	—	428	397	97	16	0	9	19	83	3	3	2	244	284	353	637	108	273	19	4	279	75	—	—	—	—	—	—
2011	26	AA MLE	Harrisburg Senators	—	118	112	27	7	0	2	3	30	3	1	0	241	280	357	637	116	303	25	3	262	63	—	—	—	—	—	—
2012	27	AAA MLE	Syracuse Chiefs	—	168	159	36	5	1	5	6	36	1	0	0	226	259	365	624	138	257	21	4	274	72	—	—	—	—	—	—
2012	27	AA MLE	Harrisburg Senators	—	288	273	74	16	3	3	7	48	4	2	1	271	299	385	684	114	309	17	2	296	86	—	—	—	—	—	—
2015	30	AAA MLE	Leones de Yucatan	—	455	426	133	21	1	14	18	65	2	5	5	312	343	465	808	153	325	14	4	353	125	—	—	—	—	—	—
2016	31	AAA MLE	Leones de Yucatan	—	427	401	100	18	1	14	18	83	4	2	1	249	288	404	692	155	277	19	4	304	92	—	—	—	—	—	—
2017	32	AAA MLE	Vaqueros Union Laguna	—	388	364	106	21	2	12	18	47	4	3	3	291	332	459	790	168	305	12	5	345	120	—	—	—	—	—	—
2019	34	AAA MLE	Toros de Tijuana	—	387	368	90	15	0	12	14	67	3	1	2	245	278	383	661	139	265	17	4	288	81	—	—	—	—	—	—
2006	21	A MLE	Peoria Chiefs	—	547	518	141	21	1	4	14	99	9	10	6	272	303	340	643	68	328	18	3	279	75	—	—	—	—	—	—
2006	21	A RAW	Peoria Chiefs	—	547	510	154	25	1	5	22	73	9	10	6	302	342	384	726	82	343	13	4	324	75	—	—	—	—	—	—
2007	22	A+ MLE	Daytona Cubs	—	313	293	65	10	3	1	13	57	4	2	3	222	265	287	551	65	269	18	4	247	53	—	—	—	—	—	—
2007	22	A+ RAW	Daytona Cubs	—	313	288	72	11	4	1	18	40	4	2	3	250	303	326	630	76	284	13	6	284	53	—	—	—	—	—	—
2008	23	A MLE	Hagerstown Suns	—	114	109	26	5	0	2	2	21	1	0	0	239	259	339	598	101	273	18	2	264	65	—	—	—	—	—	—
2008	23	A RAW	Hagerstown Suns	—	114	108	31	6	0	3	3	16	1	0	0	287	312	426	738	139	308	14	3	322	65	—	—	—	—	—	—
2009	24	A+ MLE	2 teams	—	385	364	94	16	2	10	12	77	6	6	3	258	293	396	689	137	302	20	3	292	83	—	—	—	—	—	—
2009	24	A+ RAW	2 teams	—	385	357	106	20	2	12	19	54	6	6	3	297	343	465	808	168	322	14	5	355	83	—	—	—	—	—	—
2010	25	AA MLE	2 teams	—	613	580	144	31	4	7	19	112	8	2	2	248	282	352	633	103	294	18	3	275	72	—	—	—	—	—	—
2010	25	AA RAW	2 teams	—	613	571	156	33	4	10	28	92	8	2	2	273	316	398	714	124	308	15	5	316	72	—	—	—	—	—	—
2011	26	AAA MLE	2 teams	—	546	509	124	23	0	11	22	113	6	4	2	244	283	354	637	110	287	21	4	275	72	—	—	—	—	—	—
2011	26	AAA RAW	2 teams	—	546	499	134	27	0	12	32	93	6	4	2	269	320	395	715	126	303	17	6	316	72	—	—	—	—	—	—
2012	27	AA MLE	2 teams	—	456	431	110	21	4	8	14	85	5	2	1	255	287	378	665	123	297	19	3	288	81	—	—	—	—	—	—
2012	27	AA RAW	2 teams	—	456	425	120	25	4	10	20	69	5	2	1	282	322	431	753	148	312	15	4	330	81	—	—	—	—	—	—
2015	30	AAA MLE	2 teams	—	698	649	204	32	1	22	28	99	3	7	7	314	346	468	814	154	334	14	4	353	125	—	—	—	—	—	—
2015	30	AAA RAW	2 teams	—	698	632	226	38	3	22	45	80	3	7	7	358	403	532	935	174	373	11	6	402	125	—	—	—	—	—	—
2016	31	AAA MLE	2 teams	—	655	611	154	28	1	22	28	128	9	2	4	252	295	409	704	157	283	20	4	304	92	—	—	—	—	—	—
2016	31	AAA RAW	2 teams	—	655	588	181	32	1	24	51	93	9	2	4	308	372	488	860	180	330	14	8	377	92	—	—	—	—	—	—
2017	32	AAA MLE	2 teams	—	669	620	184	37	3	21	31	81	13	4	4	297	343	468	811	171	312	12	5	345	120	—	—	—	—	—	—
2017	32	AAA RAW	2 teams	—	669	583	206	40	2	34	68	75	13	4	4	353	432	604	1.036	250	359	11	10	448	120	—	—	—	—	—	—
2018	33	INTL MLE	Mexico	—	286	250	80	13	1	6	34	41	0	2	0	320	401	452	853	132	361	14	12	—	—	—	—	—	—	—	—
2018	33	INTL RAW	Mexico	—	286	250	80	13	1	6	34	41	0	2	0	320	401	452	853	132	361	14	12	380	144	—	—	—	—	—	—
2019	34	AAA MLE	2 teams	—	663	629	154	26	0	21	25	115	4	2	3	245	278	386	664	141	267	17	4	288	81	—	—	—	—	—	—
2019	34	AAA RAW	2 teams	—	663	617	189	38	0	28	37	117	4	2	3	306	350	504	854	198	338	18	6	373	81	—	—	—	—	—	—
2020	35	INTL MLE	Yaquis de Obregon	—	122	114	28	5	0	1	2	16	3	1	0	246	277	316	593	70	270	13	2	—	—	—	—	—	—	—	—
2020	35	INTL RAW	Yaquis de Obregon	—	122	114	28	5	0	1	2	16	3	1	0	246	277	316	593	70	270	13	2	262	64	—	—	—	—	—	—
2023	38	INTL MLE	Venados de Mazatlan	—	204	194	62	10	0	3	10	23	0	2	2	320	353	418	770	98	351	11	5	—	—	—	—	—	—	—	—
2023	38	INTL RAW	Venados de Mazatlan	—	204	194	62	10	0	3	10	23	0	2	2	320	353	418	770	98	351	11	5	345	120	—	—	—	—	—	—
2006	21	A MLE	Peoria Chiefs	—	547	519	141	21	1	4	14	99	9	10	6	272	303	339	642	67	321	18	3	279	75	—	—	—	—	—	—
2007	22	A+ MLE	Daytona Cubs	—	313	293	65	10	3	1	13	57	4	2	3	222	265	287	551	65	268	18	4	247	53	—	—	—	—	—	—
2008	23	A MLE	Hagerstown Suns	—	114	110	26	5	0	2	2	21	1	0	0	236	259	336	595	100	270	18	2	264	65	—	—	—	—	—	—
2009	24	A+ MLE	2 teams	—	385	364	94	16	2	10	12	77	6	6	3	258	293	396	689	137	294	20	3	292	83	—	—	—	—	—	—
2010	25	AA MLE	2 teams	—	613	581	144	31	4	7	19	112	8	2	2	248	282	351	633	103	289	18	3	275	72	—	—	—	—	—	—
2011	26	AAA MLE	2 teams	—	546	513	124	23	0	11	22	113	6	4	2	242	283	351	634	109	279	21	4	275	72	—	—	—	—	—	—
2012	27	AA MLE	2 teams	—	456	434	110	21	4	8	14	85	5	2	1	253	287	376	662	122	290	19	3	288	81	—	—	—	—	—	—
2015	30	AAA MLE	2 teams	—	698	662	204	32	1	22	28	99	3	7	7	308	346	459	805	151	325	14	4	353	125	—	—	—	—	—	—
2016	31	AAA MLE	2 teams	—	655	613	154	28	1	22	28	128	9	2	4	251	295	408	703	157	277	20	4	304	92	—	—	—	—	—	—
2017	32	AAA MLE	2 teams	—	669	620	184	37	3	21	31	81	13	4	4	297	343	468	811	171	305	12	5	345	120	—	—	—	—	—	—
2019	34	AAA MLE	2 teams	—	663	629	154	26	0	21	25	115	4	2	3	245	278	386	664	141	265	17	4	288	81	—	—	—	—	—	—
▸ Career Totals
Career	—	MLE		—	6271	5871	1570	278	20	139	254	1067	71	46	37	267	306	393	698	125	302	17	4	269	69	-235	-6	+0	-67	+136	-17.5
/ 162G	—	MLE		—	650	609	162	29	2	14	26	111	7	5	4	266	304	389	693	123	301	17	4	269	69	-24	-1	+0	-7	+14	-1.8

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 AAAToros de Tijuana · 387 PAwOBA .380 → .288 (−92)K% 16.0% → 17.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.02%	÷1.111	×1.200	—	—	17.30%
BB% (unintentional) /PA	5.68%	÷1.007	×0.690	—	×0.940	3.66%
HBP% /PA	0.78%	—	×0.940	—	×0.940	0.68%
Singles /BIP	24.58%	÷0.989	×0.930	×0.950	×0.940	20.63%
Doubles /BIP	7.07%	÷1.051	×0.830	×0.950	×0.940	4.99%
Triples /BIP	0.00%	÷0.993	×0.920	×0.950	×0.940	0.00%
Home runs /BIP	6.40%	÷1.023	×0.700	—	×0.940	4.11%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 105, 1B 98, 2B 110, 3B 99, K 122, BB 101 — 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 ×0.950.

Result: wOBA .380 → .288; ISO .217 → .146; BABIP .336 → .265. 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 AAAVaqueros Union Laguna · 388 PAwOBA .426 → .345 (−81)K% 10.1% → 12.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	10.05%	÷0.993	×1.200	—	—	12.14%
BB% (unintentional) /PA	7.22%	÷0.991	×0.690	—	×0.942	4.73%
HBP% /PA	1.03%	—	×0.940	—	×0.942	0.91%
Singles /BIP	26.69%	÷1.039	×0.930	×0.994	×0.942	22.38%
Doubles /BIP	8.36%	÷0.972	×0.830	×0.994	×0.942	6.69%
Triples /BIP	0.64%	÷1.150	×0.920	×0.994	×0.942	0.48%
Home runs /BIP	5.14%	÷0.879	×0.700	—	×0.942	3.86%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 76, 1B 108, 2B 94, 3B 130, K 99, BB 98 — 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 ×0.994.

Result: wOBA .426 → .345; ISO .223 → .175; BABIP .374 → .305. 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 AAALeones de Yucatan · 427 PAwOBA .376 → .304 (−72)K% 15.0% → 19.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.99%	÷0.924	×1.200	—	—	19.46%
BB% (unintentional) /PA	6.56%	÷1.008	×0.690	—	×0.952	4.27%
HBP% /PA	0.94%	—	×0.940	—	×0.952	0.84%
Singles /BIP	23.29%	÷0.991	×0.930	×1.007	×0.952	20.94%
Doubles /BIP	7.76%	÷1.104	×0.830	×1.007	×0.952	5.59%
Triples /BIP	0.31%	÷1.150	×0.920	×1.007	×0.952	0.24%
Home runs /BIP	5.59%	÷0.834	×0.700	—	×0.952	4.47%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 67, 1B 98, 2B 121, 3B 130, K 85, 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 ×1.007.

Result: wOBA .376 → .304; ISO .210 → .162; BABIP .328 → .277. 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 AAALeones de Yucatan · 455 PAwOBA .409 → .353 (−56)K% 11.9% → 14.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	11.87%	÷1.000	×1.200	—	—	14.24%
BB% (unintentional) /PA	5.71%	÷0.949	×0.690	—	×0.962	4.00%
HBP% /PA	0.44%	—	×0.940	—	×0.962	0.40%
Singles /BIP	30.06%	÷1.005	×0.930	×0.981	×0.962	26.23%
Doubles /BIP	6.74%	÷0.935	×0.830	×0.981	×0.962	5.65%
Triples /BIP	0.28%	÷1.150	×0.920	×0.981	×0.962	0.21%
Home runs /BIP	4.78%	÷0.849	×0.700	—	×0.962	3.79%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 70, 1B 101, 2B 87, 3B 130, K 100, BB 90 — 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 ×0.981.

Result: wOBA .409 → .353; ISO .188 → .157; BABIP .379 → .325. 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 AAHarrisburg Senators · 288 PAwOBA .329 → .296 (−33)K% 13.9% → 16.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.89%	÷1.006	×1.220	—	—	16.84%
BB% (unintentional) /PA	3.82%	÷0.989	×0.700	—	×0.968	2.62%
HBP% /PA	1.39%	—	×0.850	—	×0.968	1.14%
Singles /BIP	23.14%	÷0.967	×0.970	×1.010	×0.968	22.72%
Doubles /BIP	8.30%	÷0.982	×0.860	×1.010	×0.968	7.10%
Triples /BIP	1.31%	÷1.015	×0.950	×1.010	×0.968	1.20%
Home runs /BIP	1.75%	÷0.976	×0.780	—	×0.968	1.35%

Factors used: league row EL. Park (home-season share, regressed): HR 95, 1B 93, 2B 96, 3B 103, K 101, BB 98 — 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 ×1.010.

Result: wOBA .329 → .296; ISO .138 → .115; BABIP .328 → .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).

2012 AAASyracuse Chiefs · 168 PAwOBA .317 → .274 (−43)K% 17.3% → 21.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.26%	÷0.964	×1.200	—	—	21.49%
BB% (unintentional) /PA	5.36%	÷0.984	×0.690	—	×0.992	3.73%
HBP% /PA	0.60%	—	×0.940	—	×0.992	0.56%
Singles /BIP	22.05%	÷0.992	×0.930	×0.994	×0.992	20.39%
Doubles /BIP	4.72%	÷1.002	×0.830	×0.994	×0.992	3.86%
Triples /BIP	0.79%	÷1.008	×0.970	×0.994	×0.992	0.75%
Home runs /BIP	4.72%	÷0.925	×0.840	—	×0.992	4.26%

Factors used: league row IL. Park (home-season share, regressed): HR 85, 1B 98, 2B 100, 3B 102, K 93, BB 97 — 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 ×0.994.

Result: wOBA .317 → .274; ISO .167 → .145; BABIP .285 → .257. 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 AAASyracuse Chiefs · 428 PAwOBA .315 → .279 (−36)K% 15.9% → 19.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.89%	÷0.986	×1.200	—	—	19.35%
BB% (unintentional) /PA	6.54%	÷1.012	×0.690	—	×1.003	4.48%
HBP% /PA	0.70%	—	×0.940	—	×1.003	0.66%
Singles /BIP	23.75%	÷1.000	×0.930	×1.009	×1.003	22.36%
Doubles /BIP	5.94%	÷1.018	×0.830	×1.009	×1.003	4.90%
Triples /BIP	0.00%	÷0.900	×0.970	×1.009	×1.003	0.00%
Home runs /BIP	3.12%	÷0.921	×0.840	—	×1.003	2.86%

Factors used: league row IL. Park (home-season share, regressed): HR 84, 1B 100, 2B 104, 3B 80, K 97, BB 102 — 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 ×1.009.

Result: wOBA .315 → .279; ISO .126 → .112; BABIP .298 → .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).

2011 AAHarrisburg Senators · 118 PAwOBA .302 → .262 (−40)K% 21.2% → 25.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.19%	÷1.014	×1.220	—	—	25.49%
BB% (unintentional) /PA	3.39%	÷1.023	×0.700	—	×0.978	2.27%
HBP% /PA	2.54%	—	×0.850	—	×0.978	2.11%
Singles /BIP	22.09%	÷0.981	×0.970	×1.013	×0.978	21.64%
Doubles /BIP	9.30%	÷0.976	×0.860	×1.013	×0.978	8.12%
Triples /BIP	0.00%	÷0.934	×0.950	×1.013	×0.978	0.00%
Home runs /BIP	2.33%	÷0.936	×0.780	—	×0.978	1.90%

Factors used: league row EL. Park (home-season share, regressed): HR 87, 1B 96, 2B 95, 3B 87, K 103, BB 105 — applied at half strength. Age: age 27 vs a level average of 24.8 → −2.2% on BB/HBP/hit rates (2.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.013.

Result: wOBA .302 → .262; ISO .126 → .103; BABIP .321 → .303. 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 — .