Andrés Blanco

Pos2B

B/TS/R

Born1984-04-11

Age (2027)43

No MLB projection yet. Career stats below are historical.

Overview

AAALAST SEASON 2019

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2017	33	INTLNavegantes de…	200	.317/.440/.476	4	2	165	—
2017	33	MLBPHI	144	.192/.261/.292	3	1	54	-0.3
2018	34	AAA/INTL2 orgs	518	.272/.369/.429	13	8	82	—	.201/.280/.308
2019	35	AAAATL	530	.262/.366/.443	19	2	71	—	.202/.282/.352
2020	36	No MLB games played
2021	37	No MLB games played
2022	38	No MLB games played
2023	39	No MLB games played
2024	40	No MLB games played
2025	41	No MLB games played
2026	42	No MLB games played

Last 3 seasons WAR -0.3

Contract

No contract data on file.

Skills · percentileStatcast 2015-2017

xwOBA41

Speed26

Avg EV22

Barrel%14

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)
2004	20	MLB	Kansas City Royals	—	67	60	19	2	2	0	5	6	1	1	2	317	379	417	795	100	352	9	7	352	124	+2	-1	+3	+1	+1	0.7
2005	21	MLB	Kansas City Royals	—	86	79	17	0	1	0	0	5	1	0	1	215	225	241	466	25	224	6	0	196	19	-8	-0	-1	+1	+2	-0.7
2005	21	AAA	Omaha Royals	—	129	114	29	4	2	1	10	23	3	2	0	254	331	351	682	96	311	18	8	306	69	—	—	—	—	—	—
2005	21	AA	Wichita Wranglers	—	41	37	7	0	0	1	3	7	0	0	0	189	250	270	520	81	207	17	7	234	24	—	—	—	—	—	—
2005	21	ROK	AZL Royals	—	28	25	8	1	0	2	1	7	1	1	2	320	370	600	970	280	375	25	4	407	76	—	—	—	—	—	—
2006	22	MLB	Kansas City Royals	—	96	87	21	4	1	0	5	14	1	0	1	241	290	310	601	69	288	15	5	265	66	-4	-0	+4	+4	+2	0.6
2006	22	AAA	Omaha Royals	—	319	283	67	9	4	2	21	41	9	6	4	237	310	318	628	81	270	13	7	284	60	—	—	—	—	—	—
2007	23	AAA	Omaha Royals	—	107	97	19	2	0	0	5	12	0	0	0	196	235	216	452	21	218	11	5	200	11	—	—	—	—	—	—
2008	24	AAA	Iowa Cubs	—	330	298	85	8	2	1	15	31	5	9	3	285	330	336	666	50	312	9	5	293	74	—	—	—	—	—	—
2009	25	MLB	Chicago Cubs	—	138	123	31	8	0	1	8	14	1	0	2	252	303	341	644	89	278	10	6	280	65	-6	-1	+2	+1	+3	-0.0
2009	25	AAA	Iowa Cubs	—	258	230	70	17	2	6	17	28	3	6	1	304	360	474	834	170	318	11	7	358	99	—	—	—	—	—	—
2010	26	MLB	Texas Rangers	—	185	166	46	10	1	0	11	24	3	0	2	277	333	349	683	72	319	13	6	303	83	-4	-1	-1	+1	+4	-0.1
2010	26	INTL	Navegantes del Magallanes	—	150	132	36	8	0	0	11	16	2	5	3	273	338	333	671	61	308	11	7	298	88	—	—	—	—	—	—
2011	27	MLB	Texas Rangers	—	82	76	17	3	0	2	4	14	0	0	1	224	263	342	605	118	250	17	5	264	59	-4	-0	-1	+2	+2	-0.2
2011	27	AAA	Round Rock Express	—	25	22	5	3	0	0	3	3	0	0	0	227	320	364	684	136	263	12	12	310	53	—	—	—	—	—	—
2011	27	INTL	Navegantes del Magallanes	—	48	44	12	2	0	0	3	8	1	0	1	273	333	318	652	45	333	17	6	301	90	—	—	—	—	—	—
2012	28	AAA	Lehigh Valley IronPigs	—	461	414	97	14	1	10	38	78	2	6	5	234	302	345	647	111	264	17	8	290	46	—	—	—	—	—	—
2012	28	INTL	Navegantes del Magallanes	—	84	66	11	2	1	0	12	20	2	0	0	167	312	227	540	61	229	24	14	253	57	—	—	—	—	—	—
2013	29	INTL	Navegantes del Magallanes	—	16	14	3	1	0	0	1	3	1	0	0	214	312	286	598	71	273	19	6	283	78	—	—	—	—	—	—
2014	30	MLB	Philadelphia Phillies	—	53	47	13	5	0	1	2	6	0	0	0	277	306	447	753	170	300	11	4	306	84	-1	+0	+2	+1	+1	0.3
2014	30	AAA	Lehigh Valley IronPigs	—	155	137	33	6	0	0	13	25	2	3	5	241	316	285	600	44	292	16	8	275	48	—	—	—	—	—	—
2014	30	INTL	Navegantes del Magallanes	—	144	123	36	11	2	0	14	23	4	2	2	293	383	415	798	122	360	16	10	353	125	—	—	—	—	—	—
2015	31	MLB	Philadelphia Phillies	—	261	233	68	22	3	7	21	44	4	1	1	292	360	502	863	210	335	17	8	375	139	+12	-0	-3	+1	+6	1.6
2016	32	MLB	Philadelphia Phillies	—	209	190	48	15	1	4	11	41	7	2	3	253	317	405	723	153	301	20	5	322	104	+1	-1	-4	+1	+5	0.1
2017	33	MLB	Philadelphia Phillies	—	144	130	25	4	0	3	12	34	0	1	0	192	261	292	553	100	232	24	8	250	54	-8	+0	+0	+1	+3	-0.3
2017	33	INTL	Navegantes del Magallanes	—	200	164	52	10	2	4	27	34	9	2	5	317	440	476	916	159	381	17	14	412	165	—	—	—	—	—	—
2018	34	AAA	Colorado Springs Sky Sox	—	357	306	83	17	3	9	35	47	11	6	3	271	365	435	800	163	291	13	10	355	63	—	—	—	—	—	—
2018	34	INTL	Navegantes del Magallanes	—	161	135	37	7	0	4	20	25	2	2	0	274	376	415	791	141	308	16	12	349	123	—	—	—	—	—	—
2019	35	AAA	Gwinnett Stripers	—	530	454	119	23	1	19	57	109	17	2	4	262	366	443	808	181	305	21	11	362	71	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	1321	1191	305	73	9	18	79	202	18	5	13	256	312	378	690	122	293	15	6	302	91	-14	-4	+1	+15	+29	2.6
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2004	20	MLB MLE	Kansas City Royals	—	67	60	19	2	2	0	5	6	1	1	2	317	379	417	795	100	352	9	7	352	124	+2	-1	+3	+1	+1	0.7
2005	21	MLB MLE	Kansas City Royals	—	86	79	17	0	1	0	0	5	1	0	1	215	225	241	466	25	224	6	0	196	19	-8	-0	-1	+1	+2	-0.7
2005	21	AAA MLE	Omaha Royals	—	129	117	27	3	2	1	7	30	3	2	0	231	291	316	608	85	301	23	5	270	69	—	—	—	—	—	—
2005	21	AA MLE	Wichita Wranglers	—	41	38	7	0	0	1	2	9	0	0	0	184	225	263	488	79	199	22	5	204	24	—	—	—	—	—	—
2005	21	ROK MLE	AZL Royals	—	28	25	6	1	0	1	1	10	1	1	2	240	296	400	696	160	288	36	4	281	76	—	—	—	—	—	—
2006	22	MLB MLE	Kansas City Royals	—	96	87	21	4	1	0	5	14	1	0	1	241	290	310	601	69	288	15	5	265	66	-4	-0	+4	+4	+2	0.6
2006	22	AAA MLE	Omaha Royals	—	319	288	65	8	4	2	16	53	9	6	4	226	288	302	590	76	262	17	5	257	60	—	—	—	—	—	—
2007	23	AAA MLE	Omaha Royals	—	107	98	19	2	0	0	4	16	0	0	0	194	225	214	440	20	204	15	4	184	11	—	—	—	—	—	—
2008	24	AAA MLE	Iowa Cubs	—	330	304	86	7	2	1	9	40	5	9	3	283	314	329	643	46	305	12	3	278	74	—	—	—	—	—	—
2009	25	MLB MLE	Chicago Cubs	—	138	126	31	8	0	1	5	14	1	0	2	246	280	333	614	87	278	10	4	264	65	-6	-1	+2	+1	+3	-0.0
2009	25	AAA MLE	Iowa Cubs	—	258	235	65	15	2	5	12	36	3	6	1	277	320	421	741	145	288	14	5	315	99	—	—	—	—	—	—
2010	26	MLB MLE	Texas Rangers	—	185	167	45	9	1	0	10	24	3	0	2	269	322	335	658	66	319	13	5	290	83	-4	-1	-1	+1	+4	-0.1
2011	27	MLB MLE	Texas Rangers	—	82	76	17	3	0	2	4	14	0	0	1	224	263	342	605	118	250	17	5	256	59	-4	-0	-1	+2	+2	-0.2
2011	27	AAA MLE	Round Rock Express	—	25	23	5	3	0	0	2	4	0	0	0	217	280	348	628	130	227	16	8	246	53	—	—	—	—	—	—
2012	28	AAA MLE	Lehigh Valley IronPigs	—	461	432	90	12	1	7	20	89	2	6	5	208	247	289	536	81	238	19	4	236	46	—	—	—	—	—	—
2014	30	MLB MLE	Philadelphia Phillies	—	53	48	13	5	0	1	1	6	0	0	0	271	286	438	723	167	300	11	2	293	84	-1	+0	+2	+1	+1	0.3
2014	30	AAA MLE	Lehigh Valley IronPigs	—	155	141	31	5	0	0	9	29	2	3	5	220	276	255	532	35	267	19	6	239	48	—	—	—	—	—	—
2015	31	MLB MLE	Philadelphia Phillies	—	261	233	69	23	3	7	21	44	4	1	1	296	364	511	875	215	335	17	8	373	139	+12	-0	-3	+1	+6	1.6
2016	32	MLB MLE	Philadelphia Phillies	—	209	190	48	15	1	4	11	41	7	2	3	253	317	405	723	153	301	20	5	321	104	+1	-1	-4	+1	+5	0.1
2017	33	MLB MLE	Philadelphia Phillies	—	144	130	25	4	0	3	12	34	0	1	0	192	261	292	553	100	232	24	8	248	54	-8	+0	+0	+1	+3	-0.3
2018	34	AAA MLE	Colorado Springs Sky Sox	—	357	318	64	12	2	6	24	66	11	6	3	201	280	308	589	107	228	18	7	262	63	—	—	—	—	—	—
2019	35	AAA MLE	Gwinnett Stripers	—	530	475	96	18	1	17	36	138	17	2	4	202	282	352	634	149	240	26	7	273	71	—	—	—	—	—	—
2004	20	MLB MLE	Kansas City Royals	—	67	60	19	2	2	0	5	6	1	1	2	317	379	417	795	100	352	9	7	352	124	+2	-1	+3	+1	+1	0.7
2004	20	MLB RAW	Kansas City Royals	—	67	60	19	2	2	0	5	6	1	1	2	317	379	417	795	100	352	9	7	352	124	+2	-1	+3	+1	+1	0.7
2005	21	AAA MLE	4 teams	—	284	259	57	4	3	3	10	53	5	3	3	220	263	293	556	73	263	19	4	239	48	—	—	—	—	—	—
2005	21	AAA RAW	4 teams	—	284	255	61	5	3	4	14	42	5	3	3	239	292	329	621	90	270	15	5	272	48	—	—	—	—	—	—
2006	22	AAA MLE	2 teams	—	415	375	86	12	5	2	21	67	10	6	5	229	288	304	592	75	274	16	5	259	61	—	—	—	—	—	—
2006	22	AAA RAW	2 teams	—	415	370	88	13	5	2	26	55	10	6	5	238	305	316	622	78	274	13	6	279	61	—	—	—	—	—	—
2007	23	AAA MLE	Omaha Royals	—	107	98	19	2	0	0	4	16	0	0	0	194	225	214	440	20	226	15	4	184	11	—	—	—	—	—	—
2007	23	AAA RAW	Omaha Royals	—	107	97	19	2	0	0	5	12	0	0	0	196	235	216	452	21	218	11	5	200	11	—	—	—	—	—	—
2008	24	AAA MLE	Iowa Cubs	—	330	304	86	7	2	1	9	40	5	9	3	283	314	329	643	46	320	12	3	278	74	—	—	—	—	—	—
2008	24	AAA RAW	Iowa Cubs	—	330	298	85	8	2	1	15	31	5	9	3	285	330	336	666	50	312	9	5	293	74	—	—	—	—	—	—
2009	25	AAA MLE	2 teams	—	396	361	96	23	2	6	17	50	4	6	3	266	306	391	697	125	290	13	4	297	87	—	—	—	—	—	—
2009	25	AAA RAW	2 teams	—	396	353	101	25	2	7	25	42	4	6	3	286	340	428	768	142	304	11	6	331	87	—	—	—	—	—	—
2010	26	MLB MLE	2 teams	—	335	302	82	17	2	0	18	43	5	5	5	272	323	341	664	70	313	13	5	290	83	-7	-1	-1	+1	+7	-0.1
2010	26	MLB RAW	2 teams	—	335	298	82	18	1	0	22	40	5	5	5	275	335	342	678	67	314	12	7	301	83	-7	-1	-1	+1	+7	-0.1
2011	27	MLB MLE	3 teams	—	155	143	31	8	0	3	9	26	1	0	2	217	268	336	604	119	246	17	6	254	58	-8	-1	-1	+2	+3	-0.4
2011	27	MLB RAW	3 teams	—	155	142	34	8	0	2	10	25	1	0	2	239	294	338	632	99	278	16	6	283	58	-8	-1	-1	+2	+3	-0.4
2012	28	AAA MLE	2 teams	—	545	506	106	14	1	8	24	105	4	6	5	209	251	289	539	79	246	19	4	236	46	—	—	—	—	—	—
2012	28	AAA RAW	2 teams	—	545	480	108	16	2	10	50	98	4	6	5	225	303	329	633	104	259	18	9	284	46	—	—	—	—	—	—
2013	29	INTL MLE	Navegantes del Magallanes	—	16	14	3	1	0	0	1	3	1	0	0	214	312	286	598	71	273	19	6	—	—	—	—	—	—	—	—
2013	29	INTL RAW	Navegantes del Magallanes	—	16	14	3	1	0	0	1	3	1	0	0	214	312	286	598	71	273	19	6	283	78	—	—	—	—	—	—
2014	30	AAA MLE	3 teams	—	352	319	75	17	0	2	17	58	6	5	7	235	287	307	594	72	281	16	5	253	57	—	—	—	—	—	—
2014	30	AAA RAW	3 teams	—	352	307	82	22	2	1	29	54	6	5	7	267	342	362	704	94	320	15	8	312	57	—	—	—	—	—	—
2015	31	MLB MLE	Philadelphia Phillies	—	261	233	69	23	3	7	21	44	4	1	1	296	364	511	875	215	341	17	8	373	139	+12	-0	-3	+1	+6	1.6
2015	31	MLB RAW	Philadelphia Phillies	—	261	233	68	22	3	7	21	44	4	1	1	292	360	502	863	210	335	17	8	375	139	+12	-0	-3	+1	+6	1.6
2016	32	MLB MLE	Philadelphia Phillies	—	209	190	48	15	1	4	11	41	7	2	3	253	317	405	723	153	301	20	5	321	104	+1	-1	-4	+1	+5	0.1
2016	32	MLB RAW	Philadelphia Phillies	—	209	190	48	15	1	4	11	41	7	2	3	253	317	405	723	153	301	20	5	322	104	+1	-1	-4	+1	+5	0.1
2017	33	INTL MLE	2 teams	—	344	304	60	10	0	7	29	81	9	3	5	197	287	299	586	102	243	24	8	248	54	—	—	—	—	—	—
2017	33	INTL RAW	2 teams	—	344	294	77	14	2	7	39	68	9	3	5	262	365	395	760	133	317	20	11	344	54	—	—	—	—	—	—
2018	34	AAA MLE	2 teams	—	518	463	93	18	3	8	34	95	13	8	3	201	275	305	579	104	233	18	7	262	63	—	—	—	—	—	—
2018	34	AAA RAW	2 teams	—	518	441	120	24	3	13	55	72	13	8	3	272	369	429	797	156	296	14	11	353	63	—	—	—	—	—	—
2019	35	AAA MLE	Gwinnett Stripers	—	530	475	96	18	1	17	36	138	17	2	4	202	282	352	634	149	245	26	7	273	71	—	—	—	—	—	—
2019	35	AAA RAW	Gwinnett Stripers	—	530	454	119	23	1	19	57	109	17	2	4	262	366	443	808	181	305	21	11	362	71	—	—	—	—	—	—
2004	20	MLB MLE	Kansas City Royals	—	67	61	19	2	2	0	5	6	1	1	2	311	379	410	789	98	352	9	7	352	124	—	—	—	—	—	—
2005	21	AAA MLE	4 teams	—	284	267	57	4	3	3	10	53	5	3	3	213	263	285	547	71	262	19	4	239	48	—	—	—	—	—	—
2006	22	AAA MLE	2 teams	—	415	381	86	12	5	2	21	67	10	6	5	226	288	299	587	73	268	16	5	259	61	—	—	—	—	—	—
2007	23	AAA MLE	Omaha Royals	—	107	102	19	2	0	0	4	16	0	0	0	186	225	206	431	20	204	15	4	184	11	—	—	—	—	—	—
2008	24	AAA MLE	Iowa Cubs	—	330	313	86	7	2	1	9	40	5	9	3	275	314	319	634	45	305	12	3	278	74	—	—	—	—	—	—
2009	25	AAA MLE	2 teams	—	396	372	96	23	2	6	17	50	4	6	3	258	306	379	685	121	284	13	4	297	87	—	—	—	—	—	—
2010	26	MLB MLE	2 teams	—	335	309	82	17	2	0	18	43	5	5	5	265	323	333	656	68	319	13	5	290	83	—	—	—	—	—	—
2011	27	MLB MLE	3 teams	—	155	144	31	8	0	3	9	26	1	0	2	215	268	333	601	118	245	17	6	254	58	—	—	—	—	—	—
2012	28	AAA MLE	2 teams	—	545	512	106	14	1	8	24	105	4	6	5	207	251	285	536	78	238	19	4	236	46	—	—	—	—	—	—
2014	30	AAA MLE	3 teams	—	352	326	75	17	0	2	17	58	6	5	7	230	287	301	587	71	275	16	5	253	57	—	—	—	—	—	—
2015	31	MLB MLE	Philadelphia Phillies	—	261	234	69	23	3	7	21	44	4	1	1	295	364	509	873	214	335	17	8	373	139	—	—	—	—	—	—
2016	32	MLB MLE	Philadelphia Phillies	—	209	189	48	15	1	4	11	41	7	2	3	254	317	407	725	153	301	20	5	321	104	—	—	—	—	—	—
2017	33	INTL MLE	2 teams	—	344	303	60	10	0	7	29	81	9	3	5	198	287	300	587	102	232	24	8	248	54	—	—	—	—	—	—
2018	34	AAA MLE	2 teams	—	518	466	93	18	3	8	34	95	13	8	3	200	275	303	577	103	228	18	7	262	63	—	—	—	—	—	—
2019	35	AAA MLE	Gwinnett Stripers	—	530	472	96	18	1	17	36	138	17	2	4	203	282	354	636	150	240	26	7	273	71	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1321	1191	305	73	9	18	79	202	18	5	13	256	312	378	690	122	293	15	6	302	69	-14	-4	+1	+15	+29	2.6
/ 162G	—	A+C		—	650	586	150	36	4	9	39	99	9	2	6	256	312	377	689	121	293	15	6	302	69	-7	-2	+1	+7	+14	1.3
Career	—	MLE		—	4864	4406	1026	191	25	68	266	866	92	57	51	233	291	334	624	101	273	18	5	270	69	-14	-4	+1	+15	+29	2.6
/ 162G	—	MLE		—	650	589	137	26	3	9	36	116	12	8	7	233	290	333	623	100	274	18	6	270	69	-7	-2	+1	+7	+14	1.3

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 AAAGwinnett Stripers · 530 PAwOBA .354 → .273 (−80)K% 20.6% → 26.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.57%	÷0.948	×1.200	—	—	26.02%
BB% (unintentional) /PA	10.75%	÷1.047	×0.690	—	×0.940	6.66%
HBP% /PA	3.21%	—	×0.940	—	×0.940	2.83%
Singles /BIP	22.03%	÷1.038	×0.930	×0.950	×0.940	17.63%
Doubles /BIP	6.67%	÷0.963	×0.830	×0.950	×0.940	5.13%
Triples /BIP	0.29%	÷1.150	×0.970	×0.950	×0.940	0.22%
Home runs /BIP	5.51%	÷0.899	×0.840	—	×0.940	4.84%

Factors used: league row IL. Park (home-season share, regressed): HR 80, 1B 108, 2B 93, 3B 130, K 90, BB 109 — 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 .354 → .273; ISO .181 → .151; BABIP .305 → .240. 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 AAAColorado Springs Sky Sox · 357 PAwOBA .350 → .262 (−88)K% 13.2% → 18.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.17%	÷0.925	×1.290	—	—	18.35%
BB% (unintentional) /PA	9.80%	÷0.985	×0.710	—	×0.940	6.64%
HBP% /PA	3.08%	—	×0.980	—	×0.940	2.84%
Singles /BIP	20.85%	÷1.014	×0.900	×0.980	×0.940	17.03%
Doubles /BIP	6.56%	÷1.014	×0.810	×0.980	×0.940	4.83%
Triples /BIP	1.16%	÷1.150	×0.810	×0.980	×0.940	0.75%
Home runs /BIP	3.47%	÷1.124	×0.780	—	×0.940	2.27%

Factors used: league row PCL. Park (home-season share, regressed): HR 125, 1B 103, 2B 103, 3B 130, K 85, BB 97 — 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 ×0.980.

Result: wOBA .350 → .262; ISO .163 → .111; BABIP .291 → .228. 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 AAALehigh Valley IronPigs · 155 PAwOBA .270 → .239 (−31)K% 16.1% → 18.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.13%	÷1.050	×1.200	—	—	18.44%
BB% (unintentional) /PA	8.39%	÷0.970	×0.690	—	×0.972	5.80%
HBP% /PA	1.29%	—	×0.940	—	×0.972	1.18%
Singles /BIP	24.11%	÷1.006	×0.930	×1.037	×0.972	22.47%
Doubles /BIP	5.36%	÷0.999	×0.830	×1.037	×0.972	4.49%
Triples /BIP	0.00%	÷1.136	×0.970	×1.037	×0.972	0.00%
Home runs /BIP	0.00%	÷0.922	×0.840	—	×0.972	0.00%

Factors used: league row IL. Park (home-season share, regressed): HR 84, 1B 101, 2B 100, 3B 127, K 110, BB 94 — 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 ×1.037.

Result: wOBA .270 → .239; ISO .044 → .038; BABIP .292 → .267. 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 AAALehigh Valley IronPigs · 461 PAwOBA .281 → .236 (−45)K% 16.9% → 19.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.92%	÷1.057	×1.200	—	—	19.21%
BB% (unintentional) /PA	7.38%	÷1.157	×0.690	—	×0.992	4.37%
HBP% /PA	0.43%	—	×0.940	—	×0.992	0.40%
Singles /BIP	21.43%	÷0.984	×0.930	×0.992	×0.992	19.94%
Doubles /BIP	4.17%	÷1.005	×0.830	×0.992	×0.992	3.39%
Triples /BIP	0.30%	÷1.150	×0.970	×0.992	×0.992	0.25%
Home runs /BIP	2.98%	÷1.249	×0.840	—	×0.992	1.99%

Factors used: league row IL. Park (home-season share, regressed): HR 150, 1B 97, 2B 101, 3B 130, K 111, BB 131 — 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 ×0.992.

Result: wOBA .281 → .236; ISO .111 → .083; BABIP .264 → .238. 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 AAARound Rock Express · 25 PAwOBA .303 → .246 (−56)K% 12.0% → 15.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.00%	÷0.976	×1.290	—	—	15.86%
BB% (unintentional) /PA	12.00%	÷1.004	×0.710	—	×1.003	8.51%
HBP% /PA	0.00%	—	×0.980	—	×1.003	0.00%
Singles /BIP	10.53%	÷1.002	×0.900	—	×1.003	9.49%
Doubles /BIP	15.79%	÷0.970	×0.810	—	×1.003	13.23%
Triples /BIP	0.00%	÷1.150	×0.810	—	×1.003	0.00%
Home runs /BIP	0.00%	÷1.087	×0.780	—	×1.003	0.00%

Factors used: league row PCL. Park (home-season share, regressed): HR 117, 1B 100, 2B 94, 3B 130, K 95, 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).

Result: wOBA .303 → .246; ISO .136 → .114; BABIP .263 → .227. 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 AAAIowa Cubs · 258 PAwOBA .354 → .315 (−39)K% 10.9% → 14.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	10.85%	÷1.000	×1.290	—	—	14.00%
BB% (unintentional) /PA	6.20%	÷1.000	×0.710	—	×1.033	4.55%
HBP% /PA	1.16%	—	×0.980	—	×1.033	1.18%
Singles /BIP	22.28%	÷1.000	×0.900	×1.009	×1.033	20.89%
Doubles /BIP	8.42%	÷1.000	×0.810	×1.009	×1.033	7.10%
Triples /BIP	0.99%	÷1.000	×0.810	×1.009	×1.033	0.84%
Home runs /BIP	2.97%	÷1.000	×0.780	—	×1.033	2.39%

Factors used: league row PCL. Park (home-season share, regressed): no park row on file (treated as neutral) — 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 ×1.009.

Result: wOBA .354 → .315; ISO .170 → .144; BABIP .318 → .288. 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 AAAIowa Cubs · 330 PAwOBA .284 → .278 (−6)K% 9.4% → 12.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	9.39%	÷1.000	×1.290	—	—	12.12%
BB% (unintentional) /PA	3.64%	÷1.000	×0.710	—	×1.048	2.71%
HBP% /PA	1.52%	—	×0.980	—	×1.048	1.56%
Singles /BIP	27.72%	÷1.000	×0.900	×1.047	×1.048	27.36%
Doubles /BIP	3.00%	÷1.000	×0.810	×1.047	×1.048	2.66%
Triples /BIP	0.75%	÷1.000	×0.810	×1.047	×1.048	0.67%
Home runs /BIP	0.37%	÷1.000	×0.780	—	×1.048	0.31%

Factors used: league row PCL. 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 ×1.047.

Result: wOBA .284 → .278; ISO .050 → .045; BABIP .312 → .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).

2007 AAAOmaha Royals · 107 PAwOBA .199 → .184 (−15)K% 11.2% → 14.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	11.21%	÷1.000	×1.290	—	—	14.47%
BB% (unintentional) /PA	4.67%	÷1.000	×0.710	—	×1.050	3.48%
HBP% /PA	0.00%	—	×0.980	—	×1.050	0.00%
Singles /BIP	20.00%	÷1.000	×0.900	×0.996	×1.050	18.82%
Doubles /BIP	2.35%	÷1.000	×0.810	×0.996	×1.050	1.99%
Triples /BIP	0.00%	÷1.000	×0.810	×0.996	×1.050	0.00%
Home runs /BIP	0.00%	÷1.000	×0.780	—	×1.050	0.00%

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 ×0.996.

Result: wOBA .199 → .184; ISO .021 → .018; BABIP .218 → .204. 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 — .