Luis Valbuena

Pos3B

B/TL/R

Born1985-11-30

Age (2027)41

No MLB projection yet. Career stats below are historical.

Overview

MLBLAST SEASON 2018

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR
2016	30	INTLCardenales de…	33	.393/.485/.464	0	1	177	—
2016	30	MLBHOU	342	.260/.359/.459	13	1	125	1.8
2017	31	MLBLAA	401	.199/.298/.432	22	0	101	0.8
2018	32	INTLCardenales de…	188	.278/.417/.490	7	0	158	—
2018	32	MLBLAA	288	.199/.255/.335	9	3	60	-0.6
2019	33	No MLB games played
2020	34	No MLB games played
2021	35	No MLB games played
2022	36	No MLB games played
2023	37	No MLB games played
2024	38	No MLB games played
2025	39	No MLB games played
2026	40	No MLB games played

Last 3 seasons WAR 2.0

Contract

No contract data on file.

Skills · percentileStatcast 2016-2018

Barrel%59

xwOBA44

Avg EV36

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)
2006	20	A+	Inland Empire 66ers	—	181	163	41	10	1	2	14	26	1	1	3	252	315	362	677	110	289	14	8	301	59	—	—	—	—	—	—
2006	20	A	Wisconsin Timber Rattlers	—	373	325	93	16	6	3	44	44	1	21	7	286	373	400	773	114	321	12	12	347	86	—	—	—	—	—	—
2007	21	AA	West Tenn Diamond Jaxx	—	505	444	106	23	3	11	48	83	1	10	6	239	314	378	693	140	267	16	10	305	74	—	—	—	—	—	—
2008	22	MLB	Seattle Mariners	—	54	49	12	5	0	0	4	11	1	0	0	245	315	347	662	102	316	20	7	302	90	-1	+0	-0	+2	+1	0.3
2008	22	AAA	Tacoma Rainiers	—	246	212	64	9	0	2	28	32	0	10	4	302	383	373	756	71	348	13	11	338	87	—	—	—	—	—	—
2008	22	AA	West Tenn Diamond Jaxx	—	277	240	73	12	2	9	31	37	0	8	4	304	384	483	867	179	327	13	11	376	112	—	—	—	—	—	—
2009	23	MLB	Cleveland Indians	—	398	368	92	25	3	10	26	83	0	2	3	250	299	416	715	166	296	21	7	313	98	-1	-1	-6	+2	+9	0.3
2009	23	AAA	Columbus Clippers	—	95	78	25	4	2	3	16	13	0	3	3	321	436	538	975	218	355	14	17	424	145	—	—	—	—	—	—
2010	24	MLB	Cleveland Indians	—	310	275	53	12	0	2	28	61	3	1	2	193	275	258	533	65	238	20	9	247	51	-18	-1	-4	+2	+7	-1.3
2010	24	AAA	Columbus Clippers	—	119	96	30	8	1	6	19	21	1	2	0	312	431	604	1.035	292	343	18	16	436	143	—	—	—	—	—	—
2010	24	INTL	Cardenales de Lara	—	208	167	38	9	0	4	36	26	0	5	4	228	363	353	716	126	246	12	17	325	106	—	—	—	—	—	—
2011	25	MLB	Cleveland Indians	—	44	43	9	0	0	1	1	9	0	1	0	209	227	279	506	70	242	20	2	228	40	-3	+0	-1	+3	+1	-0.0
2011	25	AAA	Columbus Clippers	—	472	420	127	22	0	17	46	96	2	6	3	302	374	476	850	174	355	20	10	375	84	—	—	—	—	—	—
2011	25	INTL	Cardenales de Lara	—	247	211	60	13	3	5	33	38	0	2	0	284	381	445	827	161	325	15	13	365	133	—	—	—	—	—	—
2012	26	MLB	Chicago Cubs	—	303	265	58	20	0	4	36	55	0	0	2	219	312	340	652	121	260	18	12	297	84	-6	-1	+13	+3	+7	1.6
2012	26	AAA	Iowa Cubs	—	246	211	64	17	1	8	28	50	1	1	1	303	388	507	895	204	352	20	11	385	99	—	—	—	—	—	—
2012	26	INTL	Cardenales de Lara	—	223	183	56	15	1	6	34	32	2	3	0	306	420	497	917	191	338	14	15	401	157	—	—	—	—	—	—
2013	27	MLB	Chicago Cubs	—	391	331	72	15	1	12	53	63	4	1	4	218	332	378	710	160	233	16	14	321	99	-1	-1	+6	+2	+8	1.5
2013	27	INTL	Cardenales de Lara	—	150	122	38	7	0	4	25	23	3	1	1	311	440	467	907	156	358	15	17	409	163	—	—	—	—	—	—
2014	28	MLB	Chicago Cubs	—	547	478	119	33	4	16	65	113	2	1	2	249	341	435	776	186	294	21	12	345	115	+10	-1	+2	+2	+12	2.5
2014	28	INTL	Cardenales de Lara	—	81	73	18	4	1	5	7	18	1	0	0	247	321	534	855	288	260	22	9	371	137	—	—	—	—	—	—
2015	29	MLB	Houston Astros	—	493	434	97	18	0	25	50	106	6	1	0	224	312	438	750	214	235	22	10	331	109	+5	+0	-4	+2	+11	1.5
2016	30	MLB	Houston Astros	—	342	292	76	17	1	13	44	81	1	1	1	260	359	459	818	199	315	24	13	359	125	+10	-0	-1	+1	+7	1.8
2016	30	INTL	Cardenales de Lara	—	33	28	11	2	0	0	5	6	0	1	0	393	485	464	949	71	500	18	15	430	177	—	—	—	—	—	—
2017	31	MLB	Los Angeles Angels	—	401	347	69	15	0	22	48	106	1	0	2	199	298	432	730	233	210	26	12	320	101	+1	-1	-2	+2	+9	0.8
2017	31	A+	Inland Empire 66ers	—	24	23	8	3	0	0	1	4	0	0	0	348	375	478	853	130	421	17	4	378	89	—	—	—	—	—	—
2018	32	MLB	Los Angeles Angels	—	288	266	53	9	0	9	19	100	1	3	0	199	255	335	590	135	277	35	7	264	60	-14	+1	-1	+2	+6	-0.6
2018	32	INTL	Cardenales de Lara	—	188	151	42	11	0	7	34	32	2	0	0	278	417	490	907	212	310	17	18	402	158	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	3571	3148	710	169	9	114	374	788	19	11	16	226	311	394	705	168	263	22	10	314	99	-5	-4	+2	+22	+77	9.4
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2006	20	A+ MLE	Inland Empire 66ers	—	181	168	39	9	1	2	9	35	1	1	3	232	275	333	609	101	267	19	5	255	59	—	—	—	—	—	—
2006	20	A MLE	Wisconsin Timber Rattlers	—	373	338	87	14	6	2	31	60	1	21	7	257	322	352	674	95	298	16	8	295	86	—	—	—	—	—	—
2007	21	AA MLE	West Tenn Diamond Jaxx	—	505	459	106	23	3	9	33	102	1	10	6	231	284	353	637	122	264	20	7	277	74	—	—	—	—	—	—
2008	22	MLB MLE	Seattle Mariners	—	54	49	12	5	0	0	4	11	1	0	0	245	315	347	662	102	316	20	7	302	90	-1	+0	-0	+2	+1	0.3
2008	22	AAA MLE	Tacoma Rainiers	—	246	219	62	8	0	2	21	41	0	10	4	283	346	347	693	64	327	17	9	297	87	—	—	—	—	—	—
2008	22	AA MLE	West Tenn Diamond Jaxx	—	277	249	72	12	2	8	22	45	0	8	4	289	347	450	797	161	311	16	8	334	112	—	—	—	—	—	—
2009	23	MLB MLE	Cleveland Indians	—	398	368	92	25	3	10	26	83	0	2	3	250	299	416	715	166	296	21	7	313	98	-1	-1	-6	+2	+9	0.3
2009	23	AAA MLE	Columbus Clippers	—	95	82	26	4	2	3	12	16	0	3	3	317	404	524	929	207	347	17	13	382	145	—	—	—	—	—	—
2010	24	MLB MLE	Cleveland Indians	—	310	276	53	12	0	2	27	61	3	1	2	192	271	257	528	65	238	20	9	244	51	-18	-1	-4	+2	+7	-1.3
2010	24	AAA MLE	Columbus Clippers	—	119	102	28	7	1	5	13	25	1	2	0	275	362	510	872	235	313	21	11	380	143	—	—	—	—	—	—
2011	25	MLB MLE	Cleveland Indians	—	44	43	9	0	0	1	1	9	0	1	0	209	227	279	506	70	242	20	2	227	40	-3	+0	-1	+3	+1	-0.0
2011	25	AAA MLE	Columbus Clippers	—	472	435	108	18	0	10	31	120	2	6	3	248	301	359	660	110	315	25	7	292	84	—	—	—	—	—	—
2012	26	MLB MLE	Chicago Cubs	—	303	266	57	19	0	4	35	55	0	0	2	214	306	331	636	117	260	18	12	293	84	-6	-1	+13	+3	+7	1.6
2012	26	AAA MLE	Iowa Cubs	—	246	219	54	13	1	7	20	64	1	1	1	247	312	411	723	164	291	26	8	315	99	—	—	—	—	—	—
2013	27	MLB MLE	Chicago Cubs	—	391	335	72	15	1	12	49	63	4	1	4	215	322	373	695	158	233	16	13	314	99	-1	-1	+6	+2	+8	1.5
2014	28	MLB MLE	Chicago Cubs	—	547	482	118	32	3	17	61	113	2	1	2	245	332	429	762	185	294	21	11	338	115	+10	-1	+2	+2	+12	2.5
2015	29	MLB MLE	Houston Astros	—	493	435	97	17	0	26	49	106	6	1	0	223	310	441	752	218	235	22	10	330	109	+5	+0	-4	+2	+11	1.5
2016	30	MLB MLE	Houston Astros	—	342	294	75	16	1	13	42	81	1	1	1	255	350	449	799	194	315	24	12	353	125	+10	-0	-1	+1	+7	1.8
2017	31	MLB MLE	Los Angeles Angels	—	401	348	70	16	0	22	47	106	1	0	2	201	298	437	735	236	210	26	12	318	101	+1	-1	-2	+2	+9	0.8
2017	31	A+ MLE	Inland Empire 66ers	—	24	23	6	2	0	0	1	5	0	0	0	261	292	348	639	87	372	21	4	300	89	—	—	—	—	—	—
2018	32	MLB MLE	Los Angeles Angels	—	288	269	53	9	0	9	16	100	1	3	0	197	245	331	576	134	277	35	6	257	60	-14	+1	-1	+2	+6	-0.6
2006	20	A MLE	2 teams	—	554	506	123	22	6	4	40	94	2	22	10	243	301	334	635	91	290	17	7	282	77	—	—	—	—	—	—
2006	20	A RAW	2 teams	—	554	488	134	26	7	5	58	70	2	22	10	275	354	387	741	113	311	13	10	332	77	—	—	—	—	—	—
2007	21	AA MLE	West Tenn Diamond Jaxx	—	505	459	106	23	3	9	33	102	1	10	6	231	284	353	637	122	274	20	7	277	74	—	—	—	—	—	—
2007	21	AA RAW	West Tenn Diamond Jaxx	—	505	444	106	23	3	11	48	83	1	10	6	239	314	378	693	140	267	16	10	305	74	—	—	—	—	—	—
2008	22	AA MLE	3 teams	—	577	517	144	25	2	9	47	97	1	18	8	279	340	387	727	108	327	17	8	315	99	—	—	—	—	—	—
2008	22	AA RAW	3 teams	—	577	501	149	26	2	11	63	80	1	18	8	297	377	423	800	126	335	14	11	353	99	—	—	—	—	—	—
2009	23	MLB MLE	2 teams	—	493	450	118	29	5	13	38	99	0	5	6	262	320	436	755	173	309	20	8	327	107	+4	-1	-6	+2	+11	0.9
2009	23	MLB RAW	2 teams	—	493	446	117	29	5	13	42	96	0	5	6	262	326	437	763	175	307	19	9	335	107	+4	-1	-6	+2	+11	0.9
2010	24	MLB MLE	3 teams	—	637	562	121	28	2	11	60	128	4	8	6	215	296	331	626	116	258	20	9	282	77	-18	-1	-4	+2	+14	-0.6
2010	24	MLB RAW	3 teams	—	637	538	121	29	1	12	83	108	4	8	6	225	332	349	682	125	258	17	13	308	77	-18	-1	-4	+2	+14	-0.6
2011	25	AAA MLE	3 teams	—	763	707	175	27	0	17	47	191	2	9	3	248	296	358	654	110	314	25	6	286	80	—	—	—	—	—	—
2011	25	AAA RAW	3 teams	—	763	674	196	35	3	23	80	143	2	9	3	291	368	454	822	163	338	19	10	363	80	—	—	—	—	—	—
2012	26	MLB MLE	3 teams	—	772	679	155	45	1	16	78	168	3	4	3	228	311	368	679	140	275	22	10	303	91	-8	-0	+13	+3	+17	2.4
2012	26	MLB RAW	3 teams	—	772	659	178	52	2	18	98	137	3	4	3	270	367	437	804	167	311	18	13	355	91	-8	-0	+13	+3	+17	2.4
2013	27	MLB MLE	2 teams	—	541	463	99	20	1	17	68	87	7	2	5	214	323	371	695	158	227	16	13	314	99	-1	-2	+6	+2	+12	1.8
2013	27	MLB RAW	2 teams	—	541	453	110	22	1	16	78	86	7	2	5	243	362	402	764	159	266	16	14	346	99	-1	-2	+6	+2	+12	1.8
2014	28	MLB MLE	2 teams	—	628	553	136	37	4	19	70	130	3	1	2	246	334	430	764	184	289	21	11	338	115	+11	-1	+2	+2	+14	2.9
2014	28	MLB RAW	2 teams	—	628	551	137	37	5	21	72	131	3	1	2	249	339	448	787	200	290	21	11	348	115	+11	-1	+2	+2	+14	2.9
2015	29	MLB MLE	Houston Astros	—	493	435	97	17	0	26	49	106	6	1	0	223	310	441	752	218	232	22	10	330	109	+5	+0	-4	+2	+11	1.5
2015	29	MLB RAW	Houston Astros	—	493	434	97	18	0	25	50	106	6	1	0	224	312	438	750	214	235	22	10	331	109	+5	+0	-4	+2	+11	1.5
2016	30	MLB MLE	2 teams	—	375	323	83	18	1	15	46	89	1	2	1	257	351	458	810	201	308	24	12	353	125	+11	+0	-1	+1	+8	2.0
2016	30	MLB RAW	2 teams	—	375	320	87	19	1	13	49	87	1	2	1	272	370	459	830	188	333	23	13	365	125	+11	+0	-1	+1	+8	2.0
2017	31	MLB MLE	2 teams	—	425	371	76	18	0	22	48	111	1	0	2	205	298	431	729	226	222	26	11	317	101	+0	-1	-2	+2	+9	0.8
2017	31	MLB RAW	2 teams	—	425	370	77	18	0	22	49	110	1	0	2	208	302	435	738	227	226	26	12	323	101	+0	-1	-2	+2	+9	0.8
2018	32	MLB MLE	2 teams	—	476	444	88	15	0	15	26	165	3	3	0	198	247	333	581	135	273	35	5	257	60	-23	+1	-1	+2	+10	-1.1
2018	32	MLB RAW	2 teams	—	476	417	95	20	0	16	53	132	3	3	0	228	319	391	710	163	290	28	11	318	60	-23	+1	-1	+2	+10	-1.1
2006	20	A MLE	2 teams	—	554	507	123	22	6	4	40	94	2	22	10	243	301	333	634	91	288	17	7	282	77	—	—	—	—	—	—
2007	21	AA MLE	West Tenn Diamond Jaxx	—	505	466	106	23	3	9	33	102	1	10	6	227	284	348	632	120	264	20	7	277	74	—	—	—	—	—	—
2008	22	AA MLE	3 teams	—	577	524	144	25	2	9	47	97	1	18	8	275	340	382	722	107	318	17	8	315	99	—	—	—	—	—	—
2009	23	MLB MLE	2 teams	—	493	452	118	29	5	13	38	99	0	5	6	261	320	434	753	173	306	20	8	327	107	—	—	—	—	—	—
2010	24	MLB MLE	3 teams	—	637	568	121	28	2	11	60	128	4	8	6	213	296	327	623	114	259	20	9	282	77	—	—	—	—	—	—
2011	25	AAA MLE	3 teams	—	763	708	175	27	0	17	47	191	2	9	3	247	296	357	654	110	309	25	6	286	80	—	—	—	—	—	—
2012	26	MLB MLE	3 teams	—	772	685	155	45	1	16	78	168	3	4	3	226	311	365	675	139	274	22	10	303	91	—	—	—	—	—	—
2013	27	MLB MLE	2 teams	—	541	461	99	20	1	17	68	87	7	2	5	215	323	373	697	158	233	16	13	314	99	—	—	—	—	—	—
2014	28	MLB MLE	2 teams	—	628	550	136	37	4	19	70	130	3	1	2	247	334	433	767	185	294	21	11	338	115	—	—	—	—	—	—
2015	29	MLB MLE	Houston Astros	—	493	435	97	17	0	26	49	106	6	1	0	223	310	441	752	218	235	22	10	330	109	—	—	—	—	—	—
2016	30	MLB MLE	2 teams	—	375	325	83	18	1	15	46	89	1	2	1	255	351	455	807	200	315	24	12	353	125	—	—	—	—	—	—
2017	31	MLB MLE	2 teams	—	425	373	76	18	0	22	48	111	1	0	2	204	298	429	727	225	219	26	11	317	101	—	—	—	—	—	—
2018	32	MLB MLE	2 teams	—	476	444	88	15	0	15	26	165	3	3	0	198	247	333	581	135	277	35	5	257	60	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	3571	3148	710	169	9	114	374	788	19	11	16	226	311	394	705	168	263	22	10	314	92	-5	-4	+2	+22	+77	9.4
/ 162G	—	A+C		—	650	573	130	31	2	21	68	143	3	2	3	227	312	398	710	171	264	22	10	314	92	-1	-1	+0	+4	+14	1.7
Career	—	MLE		—	7239	6469	1521	324	25	193	650	1567	34	85	52	235	308	382	691	147	279	22	9	305	92	-5	-4	+2	+22	+77	9.4
/ 162G	—	MLE		—	650	581	136	29	2	17	58	141	3	8	5	234	307	379	686	145	279	22	9	305	92	-1	-1	+0	+4	+14	1.7

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.

2017 A+Inland Empire 66ers · 24 PAwOBA .368 → .300 (−68)K% 16.7% → 22.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.67%	÷0.975	×1.340	—	—	22.91%
BB% (unintentional) /PA	4.17%	÷1.003	×0.710	—	×0.940	2.77%
HBP% /PA	0.00%	—	×0.790	—	×0.940	0.00%
Singles /BIP	26.32%	÷0.955	×0.910	—	×0.940	23.56%
Doubles /BIP	15.79%	÷0.891	×0.820	—	×0.940	13.66%
Triples /BIP	0.00%	÷1.150	×0.760	—	×0.940	0.00%
Home runs /BIP	0.00%	÷1.008	×0.920	—	×0.940	0.00%

Factors used: league row CAL. Park (home-season share, regressed): HR 102, 1B 91, 2B 78, 3B 130, K 95, BB 101 — applied at half strength. Age: age 32 vs a level average of 22.8 → −6.0% on BB/HBP/hit rates (9.2 yr older than average).

Result: wOBA .368 → .300; ISO .130 → .106; BABIP .421 → .372. 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 AAAIowa Cubs · 246 PAwOBA .383 → .315 (−68)K% 20.3% → 26.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.33%	÷1.004	×1.290	—	—	26.12%
BB% (unintentional) /PA	10.98%	÷0.938	×0.710	—	×1.003	8.33%
HBP% /PA	0.41%	—	×0.980	—	×1.003	0.40%
Singles /BIP	23.60%	÷1.028	×0.900	×0.980	×1.003	20.31%
Doubles /BIP	10.56%	÷1.049	×0.810	×0.980	×1.003	8.01%
Triples /BIP	0.62%	÷0.953	×0.810	×0.980	×1.003	0.52%
Home runs /BIP	4.97%	÷0.863	×0.780	—	×1.003	4.51%

Factors used: league row PCL. Park (home-season share, regressed): HR 73, 1B 106, 2B 110, 3B 91, K 101, BB 88 — 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 ×0.980.

Result: wOBA .383 → .315; ISO .204 → .171; BABIP .352 → .291. 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 AAAColumbus Clippers · 472 PAwOBA .366 → .292 (−74)K% 20.3% → 25.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.34%	÷0.961	×1.200	—	—	25.41%
BB% (unintentional) /PA	9.53%	÷1.032	×0.690	—	×1.018	6.49%
HBP% /PA	0.42%	—	×0.940	—	×1.018	0.41%
Singles /BIP	27.16%	÷1.020	×0.930	×0.998	×1.018	25.16%
Doubles /BIP	6.79%	÷1.015	×0.830	×0.998	×1.018	5.64%
Triples /BIP	0.00%	÷0.900	×0.970	×0.998	×1.018	0.00%
Home runs /BIP	5.25%	÷1.378	×0.840	—	×1.018	3.26%

Factors used: league row IL. Park (home-season share, regressed): HR 176, 1B 104, 2B 103, 3B 80, K 92, BB 106 — 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 ×0.998.

Result: wOBA .366 → .292; ISO .174 → .117; BABIP .355 → .315. 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 AAAColumbus Clippers · 119 PAwOBA .429 → .380 (−49)K% 17.6% → 21.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.65%	÷1.007	×1.200	—	—	21.03%
BB% (unintentional) /PA	15.97%	÷1.004	×0.690	—	×1.033	11.34%
HBP% /PA	0.84%	—	×0.940	—	×1.033	0.82%
Singles /BIP	20.00%	÷1.035	×0.930	×1.027	×1.033	19.06%
Doubles /BIP	10.67%	÷1.038	×0.830	×1.027	×1.033	9.04%
Triples /BIP	1.33%	÷0.900	×0.970	×1.027	×1.033	1.52%
Home runs /BIP	8.00%	÷1.038	×0.840	—	×1.033	6.69%

Factors used: league row IL. Park (home-season share, regressed): HR 108, 1B 107, 2B 108, 3B 80, K 101, BB 101 — 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 ×1.027.

Result: wOBA .429 → .380; ISO .292 → .266; BABIP .343 → .313. 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).

2009 AAAColumbus Clippers · 95 PAwOBA .413 → .382 (−32)K% 13.7% → 16.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.68%	÷1.000	×1.200	—	—	16.42%
BB% (unintentional) /PA	16.84%	÷1.000	×0.690	—	×1.048	12.18%
HBP% /PA	0.00%	—	×0.940	—	×1.048	0.00%
Singles /BIP	24.62%	÷1.000	×0.930	×1.026	×1.048	24.61%
Doubles /BIP	6.15%	÷1.000	×0.830	×1.026	×1.048	5.49%
Triples /BIP	3.08%	÷1.000	×0.970	×1.026	×1.048	3.21%
Home runs /BIP	4.62%	÷1.000	×0.840	—	×1.048	4.06%

Factors used: league row IL. Park (home-season share, regressed): no park row on file (treated as neutral) — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.026.

Result: wOBA .413 → .382; ISO .218 → .210; BABIP .355 → .347. 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).

2008 AAWest Tenn Diamond Jaxx · 277 PAwOBA .369 → .334 (−35)K% 13.4% → 16.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.36%	÷1.000	×1.220	—	—	16.30%
BB% (unintentional) /PA	11.19%	÷1.000	×0.680	—	×1.027	7.82%
HBP% /PA	0.00%	—	×0.840	—	×1.027	0.00%
Singles /BIP	24.63%	÷1.000	×0.920	×1.018	×1.027	23.69%
Doubles /BIP	5.91%	÷1.000	×0.910	×1.018	×1.027	5.62%
Triples /BIP	0.99%	÷1.000	×0.880	×1.018	×1.027	0.91%
Home runs /BIP	4.43%	÷1.000	×0.800	—	×1.027	3.64%

Factors used: league row SL. Park (home-season share, regressed): no park row on file (treated as neutral) — 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 ×1.018.

Result: wOBA .369 → .334; ISO .179 → .161; BABIP .327 → .311. 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).

2008 AAATacoma Rainiers · 246 PAwOBA .330 → .297 (−33)K% 13.0% → 16.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.01%	÷1.000	×1.290	—	—	16.78%
BB% (unintentional) /PA	11.38%	÷1.000	×0.710	—	×1.050	8.49%
HBP% /PA	0.00%	—	×0.980	—	×1.050	0.00%
Singles /BIP	29.44%	÷1.000	×0.900	×1.010	×1.050	28.10%
Doubles /BIP	5.00%	÷1.000	×0.810	×1.010	×1.050	4.29%
Triples /BIP	0.00%	÷1.000	×0.810	×1.010	×1.050	0.00%
Home runs /BIP	1.11%	÷1.000	×0.780	—	×1.050	0.91%

Factors used: league row PCL. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 23 vs a level average of 27.2 → +5.0% on BB/HBP/hit rates (4.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.010.

Result: wOBA .330 → .297; ISO .071 → .061; BABIP .348 → .327. 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).

2007 AAWest Tenn Diamond Jaxx · 505 PAwOBA .299 → .277 (−22)K% 16.4% → 20.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.44%	÷1.000	×1.220	—	—	20.05%
BB% (unintentional) /PA	9.11%	÷1.000	×0.680	—	×1.042	6.45%
HBP% /PA	0.20%	—	×0.840	—	×1.042	0.17%
Singles /BIP	19.11%	÷1.000	×0.920	×1.042	×1.042	19.10%
Doubles /BIP	6.37%	÷1.000	×0.910	×1.042	×1.042	6.30%
Triples /BIP	0.83%	÷1.000	×0.880	×1.042	×1.042	0.79%
Home runs /BIP	3.05%	÷1.000	×0.800	—	×1.042	2.54%

Factors used: league row SL. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 22 vs a level average of 24.8 → +4.2% on BB/HBP/hit rates (2.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.042.

Result: wOBA .299 → .277; ISO .140 → .129; BABIP .267 → .264. 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 — .