Guillermo Quiroz

PosC

B/TR/R

Born1981-11-29

Age (2027)45

No MLB projection yet. Career stats below are historical.

Overview

AAALAST SEASON 2016

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	wRC+	WAR	MLE AVG/OBP/SLG
2014	32	AAACOL	252	.267/.296/.367	3	31	—	.202/.224/.272
2015	33	AAA/INTL2 orgs	292	.256/.326/.391	6	90	—	.209/.258/.242
2016	34	AAA/INTL2 orgs	354	.250/.312/.406	11	50	—	.201/.241/.330

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. Catcher framing: only 2027 Statcast framing is modeled (Baseball Savant server-caches the leaderboard to the current season); prior-year framing is unmodeled — projections for established framers may run 1-3 WAR low.

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)
2004	22	MLB	Toronto Blue Jays	—	57	52	11	2	0	0	2	8	2	1	0	212	268	250	518	38	244	14	4	238	47	-4	+0	+1	+1	+1	-0.0
2005	23	MLB	Toronto Blue Jays	—	39	36	7	2	0	0	2	13	1	0	0	194	256	250	506	56	304	33	5	236	46	-2	+0	+1	+3	+1	0.2
2005	23	AAA	Syracuse SkyChiefs	—	94	83	19	3	0	6	9	19	1	0	0	229	312	482	794	253	220	20	10	345	91	—	—	—	—	—	—
2005	23	A+	Dunedin Blue Jays	—	43	38	9	1	0	2	2	8	3	0	0	237	326	421	747	184	250	19	5	337	70	—	—	—	—	—	—
2006	24	AAA	Tacoma Rainiers	—	153	138	42	8	0	3	11	29	2	0	0	304	364	428	792	123	361	19	7	351	86	—	—	—	—	—	—
2006	24	AA	San Antonio Missions	—	68	64	12	3	0	2	3	15	1	0	0	188	235	328	563	141	213	22	4	253	17	—	—	—	—	—	—
2007	25	AAA	Oklahoma RedHawks	—	278	259	69	16	0	6	15	52	1	0	0	266	309	398	707	131	310	19	5	312	58	—	—	—	—	—	—
2008	26	MLB	Baltimore Orioles	—	149	134	25	5	0	2	12	34	1	0	0	187	257	269	525	82	235	23	8	241	50	-9	+0	+7	+3	+3	0.4
2009	27	MLB	Seattle Mariners	—	15	14	4	0	0	0	0	3	0	0	0	286	286	286	571		364	20	0	241	49	-1	+0	+1	+4	+0	0.5
2009	27	AAA	Tacoma Rainiers	—	50	48	12	2	0	1	0	9	0	0	0	250	250	354	604	104	289	18	0	256	28	—	—	—	—	—	—
2009	27	AA	West Tenn Diamond Jaxx	—	171	157	38	9	1	5	11	25	1	0	0	242	296	408	704	166	256	15	6	309	58	—	—	—	—	—	—
2010	28	AAA	Tacoma Rainiers	—	98	91	27	5	1	2	6	16	1	0	0	297	347	440	786	143	342	16	6	350	61	—	—	—	—	—	—
2010	28	AA	West Tenn Diamond Jaxx	—	263	234	66	17	1	5	21	59	4	0	2	282	351	427	779	145	353	22	8	344	73	—	—	—	—	—	—
2010	28	INTL	Aguilas del Zulia	—	164	147	33	8	0	1	13	36	1	2	1	224	292	299	591	75	283	22	8	268	67	—	—	—	—	—	—
2011	29	AAA	Tucson Padres	—	278	250	60	18	2	5	20	67	2	0	1	240	301	388	689	148	301	24	7	302	39	—	—	—	—	—	—
2011	29	INTL	Cardenales de Lara	—	189	163	42	9	1	5	14	41	6	0	0	258	339	417	756	160	306	22	7	329	109	—	—	—	—	—	—
2012	30	AAA	Tacoma Rainiers	—	347	302	84	15	1	15	36	70	5	0	0	278	364	483	848	205	315	20	10	371	86	—	—	—	—	—	—
2012	30	INTL	Cardenales de Lara	—	144	131	33	2	0	2	10	31	2	1	0	252	315	313	628	61	316	22	7	288	81	—	—	—	—	—	—
2013	31	MLB	San Francisco Giants	—	95	86	16	7	0	1	5	21	1	0	0	186	239	302	541	116	231	22	5	237	43	-6	+0	+1	+5	+2	0.1
2013	31	AAA	Fresno Grizzlies	—	42	34	10	2	0	0	6	7	1	1	0	294	415	353	768	59	357	17	14	351	82	—	—	—	—	—	—
2013	31	INTL	Tigres de Aragua	—	123	112	32	9	0	1	8	21	2	0	0	286	344	393	737	107	341	17	7	330	110	—	—	—	—	—	—
2014	32	AAA	Fresno Grizzlies	—	252	240	64	13	1	3	8	56	2	0	0	267	296	367	663	100	335	22	3	294	31	—	—	—	—	—	—
2015	33	AAA	Sacramento River Cats	—	99	89	22	4	0	0	7	13	1	0	0	247	309	292	601	45	282	13	7	273	41	—	—	—	—	—	—
2015	33	INTL	Venezuela	—	193	169	44	11	1	6	10	48	9	0	0	260	335	444	779	183	322	25	5	339	115	—	—	—	—	—	—
2016	34	AAA	Columbus Clippers	—	297	273	72	17	0	11	16	68	5	0	0	264	316	447	763	183	311	23	5	335	52	—	—	—	—	—	—
2016	34	INTL	Tigres de Aragua	—	57	47	8	0	0	0	4	16	4	0	0	170	291	170	461		258	28	7	228	40	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	355	322	63	16	0	3	21	79	5	1	0	196	255	273	528	78	248	22	6	239	48	-22	+0	+11	+16	+8	1.3
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2004	22	MLB MLE	Toronto Blue Jays	—	57	52	11	2	0	0	2	8	2	1	0	212	268	250	518	38	244	14	4	238	47	-4	+0	+1	+1	+1	-0.0
2005	23	MLB MLE	Toronto Blue Jays	—	39	36	7	2	0	0	2	13	1	0	0	194	256	250	506	56	304	33	5	236	46	-2	+0	+1	+3	+1	0.2
2005	23	AAA MLE	Syracuse SkyChiefs	—	94	86	18	3	0	5	6	23	1	0	0	209	269	419	687	209	217	24	6	302	91	—	—	—	—	—	—
2005	23	A+ MLE	Dunedin Blue Jays	—	43	39	8	1	0	2	1	11	3	0	0	205	279	385	664	179	227	26	2	271	70	—	—	—	—	—	—
2006	24	AAA MLE	Tacoma Rainiers	—	153	142	37	7	0	2	7	37	2	0	0	261	305	352	657	92	330	24	5	296	86	—	—	—	—	—	—
2006	24	AA MLE	San Antonio Missions	—	68	65	10	2	0	2	2	18	1	0	0	154	191	277	468	123	181	26	3	194	17	—	—	—	—	—	—
2007	25	AAA MLE	Oklahoma RedHawks	—	278	264	60	13	0	5	10	67	1	0	0	227	258	333	592	106	278	24	4	254	58	—	—	—	—	—	—
2008	26	MLB MLE	Baltimore Orioles	—	149	135	25	5	0	2	12	34	1	0	0	185	257	267	523	81	235	23	8	241	50	-9	+0	+7	+3	+3	0.4
2009	27	MLB MLE	Seattle Mariners	—	15	14	4	0	0	0	0	3	0	0	0	286	286	286	571		364	20	0	241	49	-1	+0	+1	+4	+0	0.5
2009	27	AAA MLE	Tacoma Rainiers	—	50	48	11	2	0	1	0	12	0	0	0	229	229	333	562	104	252	24	0	209	28	—	—	—	—	—	—
2009	27	AA MLE	West Tenn Diamond Jaxx	—	171	161	34	8	1	4	7	30	1	0	0	211	249	348	596	137	226	18	4	254	58	—	—	—	—	—	—
2010	28	AAA MLE	Tacoma Rainiers	—	98	93	20	3	1	1	4	20	1	0	0	215	255	301	556	86	272	20	4	258	61	—	—	—	—	—	—
2010	28	AA MLE	West Tenn Diamond Jaxx	—	263	242	56	16	1	4	13	73	4	0	2	231	282	355	637	124	298	28	5	276	73	—	—	—	—	—	—
2011	29	AAA MLE	Tucson Padres	—	278	256	46	13	1	4	14	92	2	0	1	180	228	285	513	105	250	33	5	226	39	—	—	—	—	—	—
2012	30	AAA MLE	Tacoma Rainiers	—	347	315	74	13	1	12	23	87	5	0	0	235	297	397	694	162	275	25	7	296	86	—	—	—	—	—	—
2013	31	MLB MLE	San Francisco Giants	—	95	87	16	7	0	1	4	21	1	0	0	184	228	299	527	115	231	22	4	232	43	-6	+0	+1	+5	+2	0.1
2013	31	AAA MLE	Fresno Grizzlies	—	42	36	9	2	0	0	4	9	1	1	0	250	341	306	647	56	302	21	10	290	82	—	—	—	—	—	—
2014	32	AAA MLE	Fresno Grizzlies	—	252	243	49	9	1	2	5	73	2	0	0	202	224	272	496	70	272	29	2	214	31	—	—	—	—	—	—
2015	33	AAA MLE	Sacramento River Cats	—	99	91	19	3	0	0	5	16	1	0	0	209	258	242	499	33	244	16	5	229	41	—	—	—	—	—	—
2016	34	AAA MLE	Columbus Clippers	—	297	279	56	12	0	8	10	85	5	0	0	201	241	330	571	129	253	29	3	245	52	—	—	—	—	—	—
2004	22	MLB MLE	Toronto Blue Jays	—	57	52	11	2	0	0	2	8	2	1	0	212	268	250	518	38	244	14	4	238	47	-4	+0	+1	+1	+1	-0.0
2004	22	MLB RAW	Toronto Blue Jays	—	57	52	11	2	0	0	2	8	2	1	0	212	268	250	518	38	244	14	4	238	47	-4	+0	+1	+1	+1	-0.0
2005	23	AAA MLE	3 teams	—	176	161	33	6	0	7	9	47	5	0	0	205	269	373	641	168	241	27	5	280	76	—	—	—	—	—	—
2005	23	AAA RAW	3 teams	—	176	157	35	6	0	8	13	40	5	0	0	223	303	414	717	191	245	23	7	319	76	—	—	—	—	—	—
2006	24	AAA MLE	2 teams	—	221	207	47	9	0	4	9	56	3	0	0	227	269	329	598	101	289	25	4	265	65	—	—	—	—	—	—
2006	24	AAA RAW	2 teams	—	221	202	54	11	0	5	14	44	3	0	0	267	324	396	720	129	316	20	6	321	65	—	—	—	—	—	—
2007	25	AAA MLE	Oklahoma RedHawks	—	278	264	60	13	0	5	10	67	1	0	0	227	258	333	592	106	284	24	4	254	58	—	—	—	—	—	—
2007	25	AAA RAW	Oklahoma RedHawks	—	278	259	69	16	0	6	15	52	1	0	0	266	309	398	707	131	310	19	5	312	58	—	—	—	—	—	—
2008	26	MLB MLE	Baltimore Orioles	—	149	135	25	5	0	2	12	34	1	0	0	185	257	267	523	81	232	23	8	241	50	-9	+0	+7	+3	+3	0.4
2008	26	MLB RAW	Baltimore Orioles	—	149	134	25	5	0	2	12	34	1	0	0	187	257	269	525	82	235	23	8	241	50	-9	+0	+7	+3	+3	0.4
2009	27	AA MLE	3 teams	—	236	223	49	10	1	5	7	45	1	0	0	220	247	341	588	121	251	19	3	244	51	—	—	—	—	—	—
2009	27	AA RAW	3 teams	—	236	219	54	11	1	6	11	37	1	0	0	247	286	388	674	142	270	16	5	293	51	—	—	—	—	—	—
2010	28	AA MLE	3 teams	—	525	486	111	28	2	8	26	135	6	2	3	228	276	344	620	115	295	26	5	271	70	—	—	—	—	—	—
2010	28	AA RAW	3 teams	—	525	472	126	30	2	8	40	111	6	2	3	267	332	390	722	123	329	21	8	321	70	—	—	—	—	—	—
2011	29	AAA MLE	2 teams	—	467	424	77	22	2	6	23	155	8	0	1	182	237	285	523	104	261	33	5	226	39	—	—	—	—	—	—
2011	29	AAA RAW	2 teams	—	467	413	102	27	3	10	34	108	8	0	1	247	316	400	716	153	303	23	7	313	39	—	—	—	—	—	—
2012	30	AAA MLE	2 teams	—	491	447	104	18	1	17	32	123	7	1	0	233	294	391	686	159	282	25	7	296	86	—	—	—	—	—	—
2012	30	AAA RAW	2 teams	—	491	433	117	17	1	17	46	101	7	1	0	270	350	432	782	162	315	21	9	347	86	—	—	—	—	—	—
2013	31	INTL MLE	3 teams	—	260	235	47	16	0	2	16	57	4	1	0	200	263	294	556	94	251	22	6	250	55	—	—	—	—	—	—
2013	31	INTL RAW	3 teams	—	260	232	58	18	0	2	19	49	4	1	0	250	318	353	671	103	304	19	7	299	55	—	—	—	—	—	—
2014	32	AAA MLE	Fresno Grizzlies	—	252	243	49	9	1	2	5	73	2	0	0	202	224	272	496	70	278	29	2	214	31	—	—	—	—	—	—
2014	32	AAA RAW	Fresno Grizzlies	—	252	240	64	13	1	3	8	56	2	0	0	267	296	367	663	100	335	22	3	294	31	—	—	—	—	—	—
2015	33	INTL MLE	2 teams	—	292	261	57	9	0	0	14	47	10	0	0	218	284	253	537	34	260	16	5	229	41	—	—	—	—	—	—
2015	33	INTL RAW	2 teams	—	292	258	66	15	1	6	17	61	10	0	0	256	326	391	718	136	306	21	6	316	41	—	—	—	—	—	—
2016	34	AAA MLE	2 teams	—	354	329	67	15	0	9	11	101	9	0	0	204	249	331	581	128	262	29	3	245	52	—	—	—	—	—	—
2016	34	AAA RAW	2 teams	—	354	320	80	17	0	11	20	84	9	0	0	250	312	406	719	156	304	24	6	317	52	—	—	—	—	—	—
2004	22	MLB MLE	Toronto Blue Jays	—	57	53	11	2	0	0	2	8	2	1	0	208	268	245	513	38	244	14	4	238	47	—	—	—	—	—	—
2005	23	AAA MLE	3 teams	—	176	160	33	6	0	7	9	47	5	0	0	206	269	375	644	169	239	27	5	280	76	—	—	—	—	—	—
2006	24	AAA MLE	2 teams	—	221	207	47	9	0	4	9	56	3	0	0	227	269	329	598	101	284	25	4	265	65	—	—	—	—	—	—
2007	25	AAA MLE	Oklahoma RedHawks	—	278	265	60	13	0	5	10	67	1	0	0	226	258	332	590	106	278	24	4	254	58	—	—	—	—	—	—
2008	26	MLB MLE	Baltimore Orioles	—	149	135	25	5	0	2	12	34	1	0	0	185	257	267	523	81	235	23	8	241	50	—	—	—	—	—	—
2009	27	AA MLE	3 teams	—	236	226	49	10	1	5	7	45	1	0	0	217	247	336	583	119	240	19	3	244	51	—	—	—	—	—	—
2010	28	AA MLE	3 teams	—	525	488	111	28	2	8	26	135	6	2	3	227	276	342	618	115	291	26	5	271	70	—	—	—	—	—	—
2011	29	AAA MLE	2 teams	—	467	433	77	22	2	6	23	155	8	0	1	178	237	279	517	102	250	33	5	226	39	—	—	—	—	—	—
2012	30	AAA MLE	2 teams	—	491	449	104	18	1	17	32	123	7	1	0	232	294	390	684	158	275	25	7	296	86	—	—	—	—	—	—
2013	31	INTL MLE	3 teams	—	260	238	47	16	0	2	16	57	4	1	0	197	263	290	553	92	253	22	6	250	55	—	—	—	—	—	—
2014	32	AAA MLE	Fresno Grizzlies	—	252	243	49	9	1	2	5	73	2	0	0	202	224	272	496	70	272	29	2	214	31	—	—	—	—	—	—
2015	33	INTL MLE	2 teams	—	292	266	57	9	0	0	14	47	10	0	0	214	284	248	532	34	244	16	5	229	41	—	—	—	—	—	—
2016	34	AAA MLE	2 teams	—	354	331	67	15	0	9	11	101	9	0	0	202	249	329	579	127	253	29	3	245	52	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	355	322	63	16	0	3	21	79	5	1	0	196	255	273	528	78	248	22	6	239	57	-22	+0	+11	+16	+8	1.3
/ 162G	—	A+C		—	650	590	115	29	0	5	38	145	9	2	0	195	254	269	523	75	248	22	6	239	57	-40	+0	+20	+29	+14	2.4
Career	—	MLE		—	3758	3467	737	162	7	67	176	948	59	5	4	213	263	321	584	109	269	25	5	253	57	-22	+0	+11	+16	+8	1.3
/ 162G	—	MLE		—	650	600	128	28	1	12	30	164	10	1	1	213	262	323	585	110	270	25	5	253	57	-40	+0	+20	+29	+14	2.4

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.

2016 AAAColumbus Clippers · 297 PAwOBA .327 → .245 (−82)K% 22.9% → 28.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.90%	÷0.965	×1.200	—	—	28.46%
BB% (unintentional) /PA	5.39%	÷1.077	×0.690	—	×0.940	3.24%
HBP% /PA	1.68%	—	×0.940	—	×0.940	1.49%
Singles /BIP	21.46%	÷1.018	×0.930	×0.996	×0.940	18.36%
Doubles /BIP	8.29%	÷1.043	×0.830	×0.996	×0.940	6.18%
Triples /BIP	0.00%	÷0.901	×0.970	×0.996	×0.940	0.00%
Home runs /BIP	5.37%	÷1.113	×0.840	—	×0.940	3.81%

Factors used: league row IL. Park (home-season share, regressed): HR 123, 1B 104, 2B 109, 3B 80, K 93, BB 115 — 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 ×0.996.

Result: wOBA .327 → .245; ISO .183 → .128; BABIP .311 → .253. 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 · 99 PAwOBA .272 → .229 (−43)K% 13.1% → 16.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.13%	÷1.047	×1.290	—	—	16.18%
BB% (unintentional) /PA	7.07%	÷0.960	×0.710	—	×0.940	4.92%
HBP% /PA	1.01%	—	×0.980	—	×0.940	0.93%
Singles /BIP	23.68%	÷1.003	×0.900	×1.050	×0.940	20.97%
Doubles /BIP	5.26%	÷1.024	×0.810	×1.050	×0.940	4.11%
Triples /BIP	0.00%	÷0.925	×0.810	×1.050	×0.940	0.00%
Home runs /BIP	0.00%	÷0.982	×0.780	—	×0.940	0.00%

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 34 vs a level average of 27.2 → −6.0% on BB/HBP/hit rates (6.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .272 → .229; ISO .045 → .036; BABIP .282 → .244. 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 · 252 PAwOBA .287 → .214 (−73)K% 22.2% → 28.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.22%	÷0.994	×1.290	—	—	28.84%
BB% (unintentional) /PA	3.17%	÷1.005	×0.710	—	×0.942	2.11%
HBP% /PA	0.79%	—	×0.980	—	×0.942	0.73%
Singles /BIP	25.54%	÷1.002	×0.900	×0.988	×0.942	21.37%
Doubles /BIP	7.07%	÷1.014	×0.810	×0.988	×0.942	5.25%
Triples /BIP	0.54%	÷0.900	×0.810	×0.988	×0.942	0.46%
Home runs /BIP	1.63%	÷1.045	×0.780	—	×0.942	1.15%

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 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 ×0.988.

Result: wOBA .287 → .214; ISO .100 → .069; BABIP .335 → .272. 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 · 42 PAwOBA .351 → .290 (−61)K% 16.7% → 21.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.67%	÷0.989	×1.290	—	—	21.73%
BB% (unintentional) /PA	14.29%	÷0.908	×0.710	—	×0.952	10.64%
HBP% /PA	2.38%	—	×0.980	—	×0.952	2.22%
Singles /BIP	29.63%	÷0.999	×0.900	—	×0.952	25.42%
Doubles /BIP	7.41%	÷0.974	×0.810	—	×0.952	5.87%
Triples /BIP	0.00%	÷0.954	×0.810	—	×0.952	0.00%
Home runs /BIP	0.00%	÷0.994	×0.780	—	×0.952	0.00%

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 32 vs a level average of 27.2 → −4.8% on BB/HBP/hit rates (4.8 yr older than average).

Result: wOBA .351 → .290; ISO .059 → .047; BABIP .357 → .302. 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 AAATacoma Rainiers · 347 PAwOBA .363 → .296 (−67)K% 20.2% → 25.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.17%	÷1.042	×1.290	—	—	24.97%
BB% (unintentional) /PA	10.09%	÷1.061	×0.710	—	×0.962	6.49%
HBP% /PA	1.44%	—	×0.980	—	×0.962	1.36%
Singles /BIP	22.84%	÷0.979	×0.900	×1.014	×0.962	20.48%
Doubles /BIP	6.47%	÷0.936	×0.810	×1.014	×0.962	5.46%
Triples /BIP	0.43%	÷0.900	×0.810	×1.014	×0.962	0.38%
Home runs /BIP	6.47%	÷0.963	×0.780	—	×0.962	5.04%

Factors used: league row PCL. Park (home-season share, regressed): HR 93, 1B 96, 2B 87, 3B 80, K 108, BB 112 — 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 ×1.014.

Result: wOBA .363 → .296; ISO .205 → .165; BABIP .315 → .275. 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 AAATucson Padres · 278 PAwOBA .299 → .226 (−73)K% 24.1% → 33.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.10%	÷0.935	×1.290	—	—	33.24%
BB% (unintentional) /PA	7.19%	÷0.997	×0.710	—	×0.972	4.98%
HBP% /PA	0.72%	—	×0.980	—	×0.972	0.69%
Singles /BIP	19.13%	÷1.022	×0.900	×1.008	×0.972	16.49%
Doubles /BIP	9.84%	÷1.001	×0.810	×1.008	×0.972	7.79%
Triples /BIP	1.09%	÷1.000	×0.810	×1.008	×0.972	0.87%
Home runs /BIP	2.73%	÷0.968	×0.780	—	×0.972	2.14%

Factors used: league row PCL. Park (home-season share, regressed): HR 94, 1B 104, 2B 100, 3B 100, K 87, BB 99 — 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 ×1.008.

Result: wOBA .299 → .226; ISO .148 → .108; BABIP .301 → .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).

2010 AAWest Tenn Diamond Jaxx · 263 PAwOBA .337 → .276 (−61)K% 22.4% → 27.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.43%	÷0.992	×1.220	—	—	27.59%
BB% (unintentional) /PA	7.60%	÷0.976	×0.680	—	×0.958	5.08%
HBP% /PA	1.52%	—	×0.840	—	×0.958	1.22%
Singles /BIP	24.57%	÷1.058	×0.920	×0.988	×0.958	20.24%
Doubles /BIP	9.71%	÷0.934	×0.910	×0.988	×0.958	8.96%
Triples /BIP	0.57%	÷1.150	×0.880	×0.988	×0.958	0.41%
Home runs /BIP	2.86%	÷0.900	×0.800	—	×0.958	2.43%

Factors used: league row SL. Park (home-season share, regressed): HR 80, 1B 112, 2B 87, 3B 130, K 98, BB 95 — applied at half strength. Age: age 29 vs a level average of 24.8 → −4.2% on BB/HBP/hit rates (4.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.988.

Result: wOBA .337 → .276; ISO .145 → .127; BABIP .353 → .298. 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 AAATacoma Rainiers · 98 PAwOBA .341 → .258 (−83)K% 16.3% → 20.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.33%	÷1.012	×1.290	—	—	20.82%
BB% (unintentional) /PA	6.12%	÷0.968	×0.710	—	×0.982	4.41%
HBP% /PA	1.02%	—	×0.980	—	×0.982	0.98%
Singles /BIP	25.33%	÷1.034	×0.900	×0.962	×0.982	20.84%
Doubles /BIP	6.67%	÷1.086	×0.810	×0.962	×0.982	4.70%
Triples /BIP	1.33%	÷0.934	×0.810	×0.962	×0.982	1.09%
Home runs /BIP	2.67%	÷1.031	×0.780	—	×0.982	1.98%

Factors used: league row PCL. Park (home-season share, regressed): HR 106, 1B 107, 2B 117, 3B 87, K 102, 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 ×0.962.

Result: wOBA .341 → .258; ISO .143 → .102; BABIP .342 → .272. 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 — .