José Pirela

PosLF

B/TR/R

Born1989-11-21

Age (2027)37

No MLB projection yet. Career stats below are historical.

Overview

INTL

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR
2023	33	INTLAguilas del Z…	46	.333/.378/.476	1	4	137	—
2024	34	INTLAguilas del Z…	202	.294/.371/.444	5	7	133	—
2025	35	INTLAguilas del Z…	205	.264/.330/.368	3	5	95	—

Contract

No contract data on file.

Skills · percentileStatcast 2017-2019

Avg EV49

xwOBA48

Speed46

Barrel%18

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	17	ROK	DSL Yankees 1	—	283	238	65	7	3	4	34	36	5	15	5	273	375	378	754	105	299	13	12	338	41	—	—	—	—	—	—
2008	18	ROK	GCL Yankees	—	153	141	33	4	1	0	8	19	3	4	2	234	289	277	566	43	268	12	5	261	19	—	—	—	—	—	—
2009	19	A	Charleston RiverDogs	—	447	404	119	23	6	0	37	65	1	9	8	295	355	381	736	87	350	15	8	329	83	—	—	—	—	—	—
2010	20	A+	Tampa Yankees	—	573	497	125	15	13	5	57	87	4	30	7	252	333	364	698	113	291	15	10	308	70	—	—	—	—	—	—
2010	20	INTL	Aguilas del Zulia	—	211	191	50	4	2	4	15	28	1	3	4	262	319	366	685	105	287	13	7	304	92	—	—	—	—	—	—
2011	21	AA	Trenton Thunder	—	521	468	112	21	4	8	25	88	13	9	7	239	296	353	649	113	274	17	5	285	69	—	—	—	—	—	—
2011	21	INTL	Aguilas del Zulia	—	259	236	71	8	4	3	13	29	4	4	2	301	348	407	755	106	329	11	5	331	110	—	—	—	—	—	—
2012	22	AA	Trenton Thunder	—	358	317	93	19	3	8	26	48	6	9	3	293	358	448	806	155	323	13	7	350	105	—	—	—	—	—	—
2012	22	INTL	Aguilas del Zulia	—	233	201	53	9	2	3	21	35	5	5	2	264	346	373	720	109	303	15	9	320	103	—	—	—	—	—	—
2013	23	AAA	Scranton/Wilkes-Barre RailRiders	—	24	23	7	0	0	0	1	2	0	1	0	304	333	304	638		333	8	4	293	74	—	—	—	—	—	—
2013	23	AA	Trenton Thunder	—	530	459	125	27	5	10	56	61	9	18	3	272	363	418	781	146	293	12	11	348	86	—	—	—	—	—	—
2013	23	INTL	Venezuela	—	293	251	83	13	7	6	33	29	4	5	2	331	417	510	927	179	352	10	11	403	159	—	—	—	—	—	—
2014	24	MLB	New York Yankees	—	25	24	8	1	2	0	1	4	0	0	0	333	360	542	902	208	400	16	4	389	149	+1	+0	-0	+3	+1	0.5
2014	24	AAA	Scranton/Wilkes-Barre RailRiders	—	581	535	163	21	11	10	37	74	3	15	7	305	353	441	794	136	336	13	6	349	99	—	—	—	—	—	—
2014	24	INTL	Aguilas del Zulia	—	199	169	50	11	4	6	26	30	2	3	1	296	396	515	911	219	328	15	13	397	155	—	—	—	—	—	—
2015	25	MLB	New York Yankees	—	78	74	17	3	0	1	2	16	0	1	0	230	250	311	561	81	276	21	3	245	51	-5	+0	-3	+2	+2	-0.3
2015	25	AAA	Scranton/Wilkes-Barre RailRiders	—	259	231	75	14	1	3	24	22	2	5	2	325	393	433	826	108	346	8	9	369	108	—	—	—	—	—	—
2015	25	INTL	Aguilas del Zulia	—	212	188	58	12	3	2	24	18	0	4	0	309	387	436	823	128	333	8	11	369	136	—	—	—	—	—	—
2016	26	MLB	San Diego Padres	—	41	39	6	2	0	0	1	9	0	0	1	154	175	205	380	51	200	22	2	168	3	-5	-0	-1	+1	+1	-0.4
2016	26	AAA	El Paso Chihuahuas	—	146	137	34	7	3	2	9	21	0	1	1	248	295	387	681	139	281	14	6	303	45	—	—	—	—	—	—
2016	26	INTL	Venezuela	—	176	155	51	11	2	2	14	22	4	2	0	329	399	465	863	135	366	12	8	380	143	—	—	—	—	—	—
2017	27	MLB	San Diego Padres	—	344	312	90	25	4	10	27	71	2	4	3	288	349	490	839	202	343	21	8	366	138	+16	-0	-3	-6	+7	1.4
2017	27	AAA	El Paso Chihuahuas	—	201	181	60	10	3	13	15	26	2	8	3	331	389	635	1.024	304	329	13	7	435	118	—	—	—	—	—	—
2017	27	INTL	Aguilas del Zulia	—	27	22	5	1	1	0	3	5	2	0	0	227	370	364	734	136	294	19	11	340	116	—	—	—	—	—	—
2018	28	MLB	San Diego Padres	—	473	438	109	23	2	5	30	89	3	6	3	249	301	345	646	96	301	19	6	291	86	-8	+0	+2	+2	+10	0.6
2019	29	MLB	Philadelphia Phillies	—	24	22	4	1	0	1	2	7	0	0	0	182	250	364	614	182	214	29	8	274	68	-1	+0	+1	-4	+1	-0.4
2019	29	AAA	Lehigh Valley IronPigs	—	372	342	112	22	2	22	25	76	3	2	1	327	378	596	975	269	366	20	7	421	115	—	—	—	—	—	—
2023	33	INTL	Aguilas del Zulia	—	46	42	14	1	1	1	3	8	0	4	1	333	378	476	854	143	382	17	7	370	137	—	—	—	—	—	—
2024	34	INTL	Aguilas del Zulia	—	202	180	53	6	3	5	16	34	6	7	2	294	371	444	816	150	340	17	8	365	133	—	—	—	—	—	—
2025	35	INTL	Aguilas del Zulia	—	205	182	48	8	1	3	17	34	1	5	3	264	330	368	698	104	300	17	8	309	95	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	985	909	234	55	8	17	63	196	5	11	7	257	309	392	701	134	310	20	6	311	96	-4	-1	-3	-3	+21	1.1
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2007	17	ROK MLE	DSL Yankees 1	—	283	248	44	4	2	2	24	44	5	15	5	177	264	234	497	56	197	16	8	229	41	—	—	—	—	—	—
2008	18	ROK MLE	GCL Yankees	—	153	144	27	3	1	0	5	27	3	4	2	188	230	222	452	35	222	18	3	197	19	—	—	—	—	—	—
2009	19	A MLE	Charleston RiverDogs	—	447	416	114	20	6	0	25	87	1	9	8	274	317	351	668	77	341	19	6	291	83	—	—	—	—	—	—
2010	20	A+ MLE	Tampa Yankees	—	573	514	120	16	10	5	40	124	4	30	7	233	294	333	627	99	283	22	7	272	70	—	—	—	—	—	—
2011	21	AA MLE	Trenton Thunder	—	521	476	114	19	4	8	17	111	13	9	7	239	285	347	631	107	278	21	3	270	69	—	—	—	—	—	—
2012	22	AA MLE	Trenton Thunder	—	358	324	93	16	3	7	19	59	6	9	3	287	338	420	758	133	320	16	5	323	105	—	—	—	—	—	—
2013	23	AAA MLE	Scranton/Wilkes-Barre RailRiders	—	24	23	7	0	0	0	1	2	0	1	0	304	333	304	638		334	8	4	277	74	—	—	—	—	—	—
2013	23	AA MLE	Trenton Thunder	—	530	477	117	20	4	8	38	74	9	18	3	245	313	354	667	109	269	14	7	295	86	—	—	—	—	—	—
2014	24	MLB MLE	New York Yankees	—	25	24	8	1	2	0	1	4	0	0	0	333	360	542	902	208	400	16	4	389	149	+1	+0	-0	+3	+1	0.5
2014	24	AAA MLE	Scranton/Wilkes-Barre RailRiders	—	581	546	157	19	12	8	26	92	3	15	7	288	323	410	734	123	324	16	4	315	99	—	—	—	—	—	—
2015	25	MLB MLE	New York Yankees	—	78	74	17	3	0	1	2	16	0	1	0	230	250	311	561	81	276	21	3	244	51	-5	+0	-3	+2	+2	-0.3
2015	25	AAA MLE	Scranton/Wilkes-Barre RailRiders	—	259	240	73	14	1	3	15	27	2	5	2	304	350	408	759	104	323	10	6	328	108	—	—	—	—	—	—
2016	26	MLB MLE	San Diego Padres	—	41	39	6	2	0	0	1	9	0	0	1	154	175	205	380	51	200	22	2	173	3	-5	-0	-1	+1	+1	-0.4
2016	26	AAA MLE	El Paso Chihuahuas	—	146	140	28	6	2	1	6	28	0	1	1	200	233	293	526	93	245	19	4	234	45	—	—	—	—	—	—
2017	27	MLB MLE	San Diego Padres	—	344	312	92	27	4	10	27	71	2	4	3	295	355	503	858	208	343	21	8	372	138	+16	-0	-3	-6	+7	1.4
2017	27	AAA MLE	El Paso Chihuahuas	—	201	185	49	8	2	9	11	33	2	8	3	265	313	476	789	211	280	16	5	342	118	—	—	—	—	—	—
2018	28	MLB MLE	San Diego Padres	—	473	439	112	25	2	5	29	89	3	6	3	255	306	355	661	100	301	19	6	295	86	-8	+0	+2	+2	+10	0.6
2019	29	MLB MLE	Philadelphia Phillies	—	24	22	4	1	0	1	2	7	0	0	0	182	250	364	614	182	214	29	8	269	68	-1	+0	+1	-4	+1	-0.4
2019	29	AAA MLE	Lehigh Valley IronPigs	—	372	352	93	16	2	21	15	91	3	2	1	264	300	500	800	236	295	24	4	338	115	—	—	—	—	—	—
2007	17	ROK MLE	DSL Yankees 1	—	283	248	44	4	2	2	24	44	5	15	5	177	264	234	497	56	202	16	8	229	41	—	—	—	—	—	—
2007	17	ROK RAW	DSL Yankees 1	—	283	238	65	7	3	4	34	36	5	15	5	273	375	378	754	105	299	13	12	338	41	—	—	—	—	—	—
2008	18	ROK MLE	GCL Yankees	—	153	144	27	3	1	0	5	27	3	4	2	188	230	222	452	35	229	18	3	197	19	—	—	—	—	—	—
2008	18	ROK RAW	GCL Yankees	—	153	141	33	4	1	0	8	19	3	4	2	234	289	277	566	43	268	12	5	261	19	—	—	—	—	—	—
2009	19	A MLE	Charleston RiverDogs	—	447	416	114	20	6	0	25	87	1	9	8	274	317	351	668	77	345	19	6	291	83	—	—	—	—	—	—
2009	19	A RAW	Charleston RiverDogs	—	447	404	119	23	6	0	37	65	1	9	8	295	355	381	736	87	350	15	8	329	83	—	—	—	—	—	—
2010	20	A+ MLE	2 teams	—	784	706	164	23	13	6	54	169	5	33	11	232	292	327	619	95	293	22	7	272	70	—	—	—	—	—	—
2010	20	A+ RAW	2 teams	—	784	688	175	19	15	9	72	115	5	33	11	254	329	365	694	110	290	15	9	307	70	—	—	—	—	—	—
2011	21	AA MLE	2 teams	—	780	717	170	28	5	12	25	167	17	13	9	237	279	340	620	103	288	21	3	270	69	—	—	—	—	—	—
2011	21	AA RAW	2 teams	—	780	704	183	29	8	11	38	117	17	13	9	260	314	371	684	111	294	15	5	300	69	—	—	—	—	—	—
2012	22	AA MLE	2 teams	—	591	535	154	27	6	11	31	98	11	14	5	288	340	422	762	135	333	17	5	323	105	—	—	—	—	—	—
2012	22	AA RAW	2 teams	—	591	518	146	28	5	11	47	83	11	14	5	282	354	419	772	137	315	14	8	339	105	—	—	—	—	—	—
2013	23	AA MLE	3 teams	—	847	764	191	31	7	13	59	117	13	24	5	250	315	360	675	110	277	14	7	294	85	—	—	—	—	—	—
2013	23	AA RAW	3 teams	—	847	733	215	40	12	16	90	92	13	24	5	293	380	446	826	153	314	11	11	365	85	—	—	—	—	—	—
2014	24	AAA MLE	3 teams	—	805	757	219	27	18	11	35	127	5	18	8	289	325	416	741	127	333	16	4	318	101	—	—	—	—	—	—
2014	24	AAA RAW	3 teams	—	805	728	221	33	17	16	64	108	5	18	8	304	364	462	825	158	337	13	8	362	101	—	—	—	—	—	—
2015	25	AAA MLE	3 teams	—	549	516	145	27	1	6	27	70	2	10	2	281	319	372	691	91	314	13	5	308	95	—	—	—	—	—	—
2015	25	AAA RAW	3 teams	—	549	493	150	29	4	6	50	56	2	10	2	304	371	416	786	112	332	10	9	352	95	—	—	—	—	—	—
2016	26	INTL MLE	3 teams	—	363	342	68	15	5	3	13	73	4	3	2	199	237	298	535	99	242	20	4	221	35	—	—	—	—	—	—
2016	26	INTL RAW	3 teams	—	363	331	91	20	5	4	24	52	4	3	2	275	331	402	733	127	313	14	7	325	35	—	—	—	—	—	—
2017	27	MLB MLE	3 teams	—	572	520	149	37	7	20	40	110	6	12	6	287	345	500	845	213	328	19	7	361	131	+21	+0	-3	-6	+12	2.5
2017	27	MLB RAW	3 teams	—	572	515	155	36	8	23	45	102	6	12	6	301	364	536	900	235	336	18	8	389	131	+21	+0	-3	-6	+12	2.5
2018	28	MLB MLE	San Diego Padres	—	473	439	112	25	2	5	29	89	3	6	3	255	306	355	661	100	308	19	6	295	86	-8	+0	+2	+2	+10	0.6
2018	28	MLB RAW	San Diego Padres	—	473	438	109	23	2	5	30	89	3	6	3	249	301	345	646	96	301	19	6	291	86	-8	+0	+2	+2	+10	0.6
2019	29	AAA MLE	2 teams	—	396	374	96	17	2	21	17	98	3	2	1	257	294	481	776	225	292	25	4	334	112	—	—	—	—	—	—
2019	29	AAA RAW	2 teams	—	396	364	116	23	2	23	27	83	3	2	1	319	371	582	953	264	358	21	7	412	112	—	—	—	—	—	—
2023	33	INTL MLE	Aguilas del Zulia	—	46	42	14	1	1	1	3	8	0	4	1	333	378	476	854	143	382	17	7	—	—	—	—	—	—	—	—
2023	33	INTL RAW	Aguilas del Zulia	—	46	42	14	1	1	1	3	8	0	4	1	333	378	476	854	143	382	17	7	370	137	—	—	—	—	—	—
2024	34	INTL MLE	Aguilas del Zulia	—	202	180	53	6	3	5	16	34	6	7	2	294	371	444	816	150	340	17	8	—	—	—	—	—	—	—	—
2024	34	INTL RAW	Aguilas del Zulia	—	202	180	53	6	3	5	16	34	6	7	2	294	371	444	816	150	340	17	8	365	133	—	—	—	—	—	—
2025	35	INTL MLE	Aguilas del Zulia	—	205	182	48	8	1	3	17	34	1	5	3	264	330	368	698	104	300	17	8	—	—	—	—	—	—	—	—
2025	35	INTL RAW	Aguilas del Zulia	—	205	182	48	8	1	3	17	34	1	5	3	264	330	368	698	104	300	17	8	309	95	—	—	—	—	—	—
2007	17	ROK MLE	DSL Yankees 1	—	283	252	44	4	2	2	24	44	5	15	5	175	264	230	494	56	197	16	8	229	41	—	—	—	—	—	—
2008	18	ROK MLE	GCL Yankees	—	153	144	27	3	1	0	5	27	3	4	2	188	230	222	452	35	222	18	3	197	19	—	—	—	—	—	—
2009	19	A MLE	Charleston RiverDogs	—	447	418	114	20	6	0	25	87	1	9	8	273	317	349	666	77	341	19	6	291	83	—	—	—	—	—	—
2010	20	A+ MLE	2 teams	—	784	719	164	23	13	6	54	169	5	33	11	228	292	321	613	93	283	22	7	272	70	—	—	—	—	—	—
2011	21	AA MLE	2 teams	—	780	732	170	28	5	12	25	167	17	13	9	232	279	333	613	101	278	21	3	270	69	—	—	—	—	—	—
2012	22	AA MLE	2 teams	—	591	544	154	27	6	11	31	98	11	14	5	283	340	415	755	132	320	17	5	323	105	—	—	—	—	—	—
2013	23	AA MLE	3 teams	—	847	768	191	31	7	13	59	117	13	24	5	249	315	358	673	109	272	14	7	294	85	—	—	—	—	—	—
2014	24	AAA MLE	3 teams	—	805	759	219	27	18	11	35	127	5	18	8	289	325	415	740	126	327	16	4	318	101	—	—	—	—	—	—
2015	25	AAA MLE	3 teams	—	549	515	145	27	1	6	27	70	2	10	2	282	319	373	692	91	312	13	5	308	95	—	—	—	—	—	—
2016	26	INTL MLE	3 teams	—	363	343	68	15	5	3	13	73	4	3	2	198	237	297	534	99	235	20	4	221	35	—	—	—	—	—	—
2017	27	MLB MLE	3 teams	—	572	521	149	37	7	20	40	110	6	12	6	286	345	499	844	213	320	19	7	361	131	—	—	—	—	—	—
2018	28	MLB MLE	San Diego Padres	—	473	438	112	25	2	5	29	89	3	6	3	256	306	356	662	100	301	19	6	295	86	—	—	—	—	—	—
2019	29	AAA MLE	2 teams	—	396	373	96	17	2	21	17	98	3	2	1	257	294	483	777	225	290	25	4	334	112	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	985	909	234	55	8	17	63	196	5	11	7	257	309	392	701	134	310	20	6	311	73	-4	-1	-3	-3	+21	1.1
/ 162G	—	A+C		—	650	600	154	36	5	11	42	129	3	7	5	257	309	388	697	132	309	20	6	311	73	-3	-0	-2	-2	+14	0.7
Career	—	MLE		—	7496	6882	1768	299	80	119	420	1352	85	179	73	257	308	375	683	119	301	18	6	277	73	-4	-1	-3	-3	+21	1.1
/ 162G	—	MLE		—	650	597	153	26	7	10	36	117	7	16	6	256	306	374	679	117	301	18	6	277	73	-3	-0	-2	-2	+14	0.7

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.

2019 AAALehigh Valley IronPigs · 372 PAwOBA .408 → .338 (−70)K% 20.4% → 24.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.43%	÷0.999	×1.200	—	—	24.53%
BB% (unintentional) /PA	5.65%	÷0.948	×0.690	—	×0.972	3.99%
HBP% /PA	0.81%	—	×0.940	—	×0.972	0.74%
Singles /BIP	24.81%	÷1.032	×0.930	×0.950	×0.972	20.64%
Doubles /BIP	8.27%	÷1.033	×0.830	×0.950	×0.972	6.13%
Triples /BIP	0.75%	÷1.061	×0.970	×0.950	×0.972	0.63%
Home runs /BIP	8.27%	÷0.866	×0.840	—	×0.972	7.80%

Factors used: league row IL. Park (home-season share, regressed): HR 73, 1B 106, 2B 107, 3B 112, K 100, BB 90 — 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 ×0.950.

Result: wOBA .408 → .338; ISO .269 → .237; BABIP .366 → .295. 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 AAAEl Paso Chihuahuas · 201 PAwOBA .425 → .342 (−83)K% 12.9% → 16.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.94%	÷1.005	×1.290	—	—	16.61%
BB% (unintentional) /PA	7.46%	÷0.921	×0.710	—	×0.992	5.71%
HBP% /PA	1.00%	—	×0.980	—	×0.992	0.97%
Singles /BIP	21.94%	÷1.040	×0.900	×1.035	×0.992	19.49%
Doubles /BIP	6.45%	÷0.983	×0.810	×1.035	×0.992	5.46%
Triples /BIP	1.94%	÷1.049	×0.810	×1.035	×0.992	1.53%
Home runs /BIP	8.39%	÷1.087	×0.780	—	×0.992	5.97%

Factors used: league row PCL. Park (home-season share, regressed): HR 117, 1B 108, 2B 97, 3B 110, K 101, BB 84 — 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 ×1.035.

Result: wOBA .425 → .342; ISO .304 → .225; BABIP .329 → .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).

2016 AAAEl Paso Chihuahuas · 146 PAwOBA .292 → .234 (−57)K% 14.4% → 19.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.38%	÷0.951	×1.290	—	—	19.51%
BB% (unintentional) /PA	5.48%	÷1.004	×0.710	—	×1.003	3.89%
HBP% /PA	0.00%	—	×0.980	—	×1.003	0.00%
Singles /BIP	18.97%	÷1.026	×0.900	×1.021	×1.003	17.03%
Doubles /BIP	6.03%	÷0.987	×0.810	×1.021	×1.003	5.07%
Triples /BIP	2.59%	÷1.028	×0.810	×1.021	×1.003	2.09%
Home runs /BIP	1.72%	÷1.160	×0.780	—	×1.003	1.16%

Factors used: league row PCL. Park (home-season share, regressed): HR 132, 1B 105, 2B 97, 3B 106, K 90, BB 101 — 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 ×1.021.

Result: wOBA .292 → .234; ISO .139 → .104; BABIP .281 → .245. 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 AAAScranton/Wilkes-Barre RailRiders · 259 PAwOBA .363 → .328 (−35)K% 8.5% → 10.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	8.49%	÷0.991	×1.200	—	—	10.29%
BB% (unintentional) /PA	9.27%	÷1.139	×0.690	—	×1.018	5.71%
HBP% /PA	0.77%	—	×0.940	—	×1.018	0.74%
Singles /BIP	27.27%	÷1.011	×0.930	×0.999	×1.018	25.52%
Doubles /BIP	6.70%	÷0.903	×0.830	×0.999	×1.018	6.26%
Triples /BIP	0.48%	÷1.150	×0.970	×0.999	×1.018	0.41%
Home runs /BIP	1.44%	÷0.878	×0.840	—	×1.018	1.40%

Factors used: league row IL. Park (home-season share, regressed): HR 76, 1B 102, 2B 81, 3B 130, K 98, BB 128 — 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 ×0.999.

Result: wOBA .363 → .328; ISO .108 → .105; BABIP .346 → .323. 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 · 581 PAwOBA .341 → .315 (−26)K% 12.7% → 15.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.74%	÷0.970	×1.200	—	—	15.76%
BB% (unintentional) /PA	6.02%	÷0.985	×0.690	—	×1.033	4.36%
HBP% /PA	0.52%	—	×0.940	—	×1.033	0.50%
Singles /BIP	26.25%	÷0.984	×0.930	×0.995	×1.033	25.49%
Doubles /BIP	4.56%	÷0.936	×0.830	×0.995	×1.033	4.15%
Triples /BIP	2.39%	÷0.954	×0.970	×0.995	×1.033	2.49%
Home runs /BIP	2.17%	÷1.067	×0.840	—	×1.033	1.76%

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 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 ×0.995.

Result: wOBA .341 → .315; ISO .136 → .124; BABIP .336 → .324. 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 AATrenton Thunder · 530 PAwOBA .342 → .295 (−47)K% 11.5% → 14.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	11.51%	÷1.003	×1.220	—	—	14.00%
BB% (unintentional) /PA	10.57%	÷1.055	×0.700	—	×1.012	7.10%
HBP% /PA	1.70%	—	×0.850	—	×1.012	1.46%
Singles /BIP	20.85%	÷0.996	×0.970	×1.006	×1.012	20.67%
Doubles /BIP	6.78%	÷1.204	×0.860	×1.006	×1.012	4.93%
Triples /BIP	1.26%	÷1.140	×0.950	×1.006	×1.012	1.07%
Home runs /BIP	2.51%	÷0.979	×0.780	—	×1.012	2.03%

Factors used: league row EL. Park (home-season share, regressed): HR 96, 1B 99, 2B 141, 3B 128, K 101, BB 111 — applied at half strength. Age: age 24 vs a level average of 24.8 → +1.2% on BB/HBP/hit rates (0.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.006.

Result: wOBA .342 → .295; ISO .146 → .117; BABIP .293 → .269. 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 AAAScranton/Wilkes-Barre RailRiders · 24 PAwOBA .285 → .277 (−8)K% 8.3% → 9.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	8.33%	÷1.010	×1.200	—	—	9.90%
BB% (unintentional) /PA	4.17%	÷1.015	×0.690	—	×1.048	2.97%
HBP% /PA	0.00%	—	×0.940	—	×1.048	0.00%
Singles /BIP	33.33%	÷0.971	×0.930	—	×1.048	33.45%
Doubles /BIP	0.00%	÷1.026	×0.830	—	×1.048	0.00%
Triples /BIP	0.00%	÷1.000	×0.970	—	×1.048	0.00%
Home runs /BIP	0.00%	÷0.976	×0.840	—	×1.048	0.00%

Factors used: league row IL. Park (home-season share, regressed): HR 95, 1B 94, 2B 105, 3B 100, K 102, BB 103 — applied at half strength. Age: age 24 vs a level average of 27.2 → +4.8% on BB/HBP/hit rates (3.2 yr younger than average).

Result: wOBA .285 → .277; ISO .000 → .000; BABIP .333 → .334. 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 AATrenton Thunder · 358 PAwOBA .342 → .323 (−19)K% 13.4% → 16.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.41%	÷0.990	×1.220	—	—	16.52%
BB% (unintentional) /PA	6.98%	÷0.955	×0.700	—	×1.027	5.26%
HBP% /PA	1.68%	—	×0.850	—	×1.027	1.46%
Singles /BIP	23.42%	÷0.980	×0.970	×1.017	×1.027	24.20%
Doubles /BIP	7.06%	÷1.058	×0.860	×1.017	×1.027	6.00%
Triples /BIP	1.12%	÷0.900	×0.950	×1.017	×1.027	1.23%
Home runs /BIP	2.97%	÷0.975	×0.780	—	×1.027	2.44%

Factors used: league row EL. Park (home-season share, regressed): HR 95, 1B 96, 2B 112, 3B 80, K 98, BB 91 — applied at half strength. Age: age 23 vs a level average of 24.8 → +2.7% on BB/HBP/hit rates (1.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.017.

Result: wOBA .342 → .323; ISO .155 → .137; BABIP .323 → .320. 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 — .