Alejandro De Aza

PosCF

B/TL/L

Born1984-04-11

Age (2027)43

No MLB projection yet. Career stats below are historical.

Overview

INTLLAST SEASON 2022

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2019	35	AAA/INTL2 orgs	391	.313/.390/.471	10	6	115	—	.276/.340/.478
2021	37	INTLVenezuela	216	.335/.423/.486	5	3	157	—
2022	38	INTLCangrejeros d…	38	.229/.289/.286	0	0	67	—

Contract

No contract data on file.

Skills · percentileStatcast 2015-2017

Speed52

xwOBA42

Avg EV25

Barrel%12

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)
2005	21	A+	Jupiter Hammerheads	—	554	472	135	24	9	3	58	87	8	34	17	286	374	394	768	108	341	16	10	339	93	—	—	—	—	—	—
2006	22	AA	Carolina Mudcats	—	266	230	64	12	2	2	21	46	4	27	10	278	349	374	723	96	337	17	8	315	84	—	—	—	—	—	—
2006	22	ROK	GCL Marlins	—	28	24	11	1	0	0	4	2	0	3	2	458	536	500	1.036	42	500	7	14	469	124	—	—	—	—	—	—
2007	23	MLB	Florida Marlins	—	158	144	33	8	2	0	6	37	1	2	0	229	265	312	577	83	303	23	4	248	51	-9	+0	+0	+1	+3	-0.5
2007	23	AA	Carolina Mudcats	—	23	20	7	2	0	2	3	2	0	0	0	350	435	750	1.185	400	312	9	13	502	174	—	—	—	—	—	—
2009	25	MLB	Florida Marlins	—	27	20	5	1	0	0	5	5	0	0	0	250	400	300	700	50	312	19	19	311	96	-0	+0	+1	+1	+1	0.2
2009	25	AAA	New Orleans Zephyrs	—	307	267	80	21	5	8	27	53	4	11	5	300	372	506	878	206	346	17	9	375	101	—	—	—	—	—	—
2010	26	MLB	Chicago White Sox	—	32	30	9	3	0	0	1	4	0	2	1	300	323	400	723	100	346	12	3	312	96	-0	+0	-1	+2	+1	0.1
2010	26	AAA	Charlotte Knights	—	358	318	96	21	4	5	29	60	5	16	3	302	369	440	810	138	355	17	8	356	101	—	—	—	—	—	—
2010	26	INTL	Dominican Republic	—	61	55	15	2	1	2	5	17	0	5	1	273	333	455	788	182	361	28	8	342	118	—	—	—	—	—	—
2011	27	MLB	Chicago White Sox	—	171	152	50	11	3	4	17	34	1	12	5	329	400	520	920	191	404	20	10	403	155	+11	+0	+8	-8	+4	1.6
2011	27	AAA	Charlotte Knights	—	435	384	123	29	5	8	34	72	4	22	12	320	382	484	866	164	373	17	8	372	103	—	—	—	—	—	—
2011	27	INTL	Toros del Este	—	132	111	22	4	4	0	17	28	2	6	1	198	315	306	622	108	262	21	13	285	79	—	—	—	—	—	—
2012	28	MLB	Chicago White Sox	—	585	524	147	29	6	9	47	109	9	26	12	281	350	410	760	130	339	19	8	339	112	+9	+0	-2	+2	+13	2.3
2012	28	AAA	Charlotte Knights	—	21	20	5	1	0	1	1	3	0	0	0	250	286	450	736	200	250	14	5	323	70	—	—	—	—	—	—
2013	29	MLB	Chicago White Sox	—	675	607	160	27	4	17	50	147	6	20	8	264	326	405	731	142	318	22	7	322	102	+2	+1	-4	+2	+15	1.6
2014	30	MLB	Baltimore Orioles	—	528	477	120	24	8	8	39	119	6	17	10	252	316	386	702	134	317	23	7	311	93	-5	-1	-5	-6	+11	-0.4
2015	31	MLB	San Francisco Giants	—	365	325	85	17	7	7	31	84	5	7	5	262	335	422	757	160	331	23	8	334	112	+5	-1	-8	-4	+8	0.1
2016	32	MLB	New York Mets	—	267	234	48	9	0	6	26	67	5	4	3	205	298	321	619	115	259	25	10	284	80	-6	-0	-1	+1	+6	-0.1
2017	33	MLB	Washington Nationals	—	70	62	12	2	3	0	3	16	0	1	0	194	231	323	553	129	250	23	4	226	42	-5	+0	-0	-4	+2	-0.8
2017	33	AAA	Syracuse Chiefs	—	212	186	52	11	0	4	25	30	1	2	0	280	368	403	771	124	316	14	12	350	63	—	—	—	—	—	—
2017	33	INTL	Cardenales de Lara	—	114	98	37	10	2	1	10	15	3	1	2	378	450	551	1.001	173	429	13	9	430	177	—	—	—	—	—	—
2018	34	AAA	Syracuse Chiefs	—	131	106	32	6	0	1	20	18	3	4	0	302	426	387	813	85	348	14	15	371	84	—	—	—	—	—	—
2018	34	ROK	GCL Nationals	—	32	29	8	2	0	0	3	5	0	0	0	276	344	345	689	69	333	16	9	315	28	—	—	—	—	—	—
2018	34	INTL	Venezuela	—	247	217	71	8	1	5	22	31	4	1	4	327	399	442	842	115	359	13	9	373	139	—	—	—	—	—	—
2019	35	AAA	Rochester Red Wings	—	148	128	45	11	2	6	14	30	5	4	0	352	435	609	1.045	258	419	20	9	451	119	—	—	—	—	—	—
2019	35	INTL	Aguilas de Mexicali	—	243	214	62	9	0	4	21	42	3	2	0	290	361	388	749	98	341	17	9	334	112	—	—	—	—	—	—
2021	37	INTL	Venezuela	—	216	185	62	9	2	5	24	32	4	3	2	335	423	486	909	151	383	15	11	400	157	—	—	—	—	—	—
2022	38	INTL	Cangrejeros de Santurce	—	38	35	8	2	0	0	1	8	2	0	1	229	289	286	575	57	296	21	3	268	67	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	2878	2575	669	131	33	51	225	622	33	91	44	260	327	396	723	136	322	22	8	320	102	+8	+1	-12	-13	+62	4.8
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2005	21	A+ MLE	Jupiter Hammerheads	—	554	488	131	24	8	3	42	124	8	34	17	268	336	369	705	100	334	22	8	306	93	—	—	—	—	—	—
2006	22	AA MLE	Carolina Mudcats	—	266	236	65	12	2	2	15	56	4	27	10	275	329	369	698	93	327	21	6	292	84	—	—	—	—	—	—
2006	22	ROK MLE	GCL Marlins	—	28	26	9	1	0	0	2	3	0	3	2	346	393	385	777	38	395	11	7	351	124	—	—	—	—	—	—
2007	23	MLB MLE	Florida Marlins	—	158	145	33	8	2	0	5	37	1	2	0	228	258	310	569	83	303	23	3	244	51	-9	+0	+0	+1	+3	-0.5
2007	23	AA MLE	Carolina Mudcats	—	23	21	7	2	0	2	2	2	0	0	0	333	391	714	1.106	381	288	9	9	425	174	—	—	—	—	—	—
2009	25	MLB MLE	Florida Marlins	—	27	20	5	1	0	0	5	5	0	0	0	250	400	300	700	50	312	19	19	311	96	-0	+0	+1	+1	+1	0.2
2009	25	AAA MLE	New Orleans Zephyrs	—	307	274	71	18	4	6	20	68	4	11	5	259	319	420	738	161	312	22	7	317	101	—	—	—	—	—	—
2010	26	MLB MLE	Chicago White Sox	—	32	30	9	3	0	0	1	4	0	2	1	300	323	400	723	100	346	12	3	311	96	-0	+0	-1	+2	+1	0.1
2010	26	AAA MLE	Charlotte Knights	—	358	326	91	18	4	4	21	69	5	16	3	279	332	396	728	117	334	19	6	317	101	—	—	—	—	—	—
2011	27	MLB MLE	Chicago White Sox	—	171	153	50	11	3	4	16	34	1	12	5	327	394	516	910	190	404	20	9	397	155	+11	+0	+8	-8	+4	1.6
2011	27	AAA MLE	Charlotte Knights	—	435	395	115	21	6	7	23	82	4	22	12	291	336	428	764	137	330	19	5	320	103	—	—	—	—	—	—
2012	28	MLB MLE	Chicago White Sox	—	585	527	147	29	6	9	44	109	9	26	12	279	345	408	753	129	339	19	8	334	112	+9	+0	-2	+2	+13	2.3
2012	28	AAA MLE	Charlotte Knights	—	21	20	5	1	0	1	1	4	0	0	0	250	286	450	736	200	219	19	5	271	70	—	—	—	—	—	—
2013	29	MLB MLE	Chicago White Sox	—	675	608	160	27	4	17	49	147	6	20	8	263	324	405	729	141	318	22	7	319	102	+2	+1	-4	+2	+15	1.6
2014	30	MLB MLE	Baltimore Orioles	—	528	479	118	24	8	7	37	119	6	17	10	246	308	374	682	127	317	23	7	305	93	-5	-1	-5	-6	+11	-0.4
2015	31	MLB MLE	San Francisco Giants	—	365	328	87	17	7	8	28	84	5	7	5	265	332	433	765	168	331	23	8	334	112	+5	-1	-8	-4	+8	0.1
2016	32	MLB MLE	New York Mets	—	267	235	50	10	0	6	25	67	5	4	3	213	302	332	634	119	259	25	9	287	80	-6	-0	-1	+1	+6	-0.1
2017	33	MLB MLE	Washington Nationals	—	70	63	13	2	4	0	2	16	0	1	0	206	231	365	596	159	250	23	3	230	42	-5	+0	-0	-4	+2	-0.8
2017	33	AAA MLE	Syracuse Chiefs	—	212	196	43	8	0	3	15	36	1	2	0	219	278	306	584	87	252	17	7	262	63	—	—	—	—	—	—
2018	34	AAA MLE	Syracuse Chiefs	—	131	114	28	5	0	1	12	21	3	4	0	246	333	316	649	70	276	16	9	293	84	—	—	—	—	—	—
2018	34	ROK MLE	GCL Nationals	—	32	31	6	1	0	0	1	7	0	0	0	194	219	226	445	32	249	22	3	209	28	—	—	—	—	—	—
2019	35	AAA MLE	Rochester Red Wings	—	148	134	37	8	2	5	8	36	5	4	0	276	340	478	818	201	331	24	5	344	119	—	—	—	—	—	—
2005	21	A+ MLE	Jupiter Hammerheads	—	554	488	131	24	8	3	42	124	8	34	17	268	336	369	705	100	350	22	8	306	93	—	—	—	—	—	—
2005	21	A+ RAW	Jupiter Hammerheads	—	554	472	135	24	9	3	58	87	8	34	17	286	374	394	768	108	341	16	10	339	93	—	—	—	—	—	—
2006	22	AA MLE	2 teams	—	294	262	74	13	2	2	17	59	4	30	12	282	336	370	706	88	355	20	6	298	88	—	—	—	—	—	—
2006	22	AA RAW	2 teams	—	294	254	75	13	2	2	25	48	4	30	12	295	367	386	753	91	354	16	9	330	88	—	—	—	—	—	—
2007	23	MLB MLE	2 teams	—	181	166	40	10	2	2	7	39	1	2	0	241	276	361	637	120	299	22	4	267	67	-7	+0	+0	+1	+4	-0.2
2007	23	MLB RAW	2 teams	—	181	164	40	10	2	2	9	39	1	2	0	244	287	366	653	122	304	22	5	281	67	-7	+0	+0	+1	+4	-0.2
2009	25	AAA MLE	2 teams	—	334	294	76	19	4	6	25	73	4	11	5	259	325	412	737	153	321	22	7	317	100	—	—	—	—	—	—
2009	25	AAA RAW	2 teams	—	334	287	85	22	5	8	32	58	4	11	5	296	375	491	866	195	344	17	10	370	100	—	—	—	—	—	—
2010	26	AAA MLE	3 teams	—	451	412	116	24	5	5	26	85	5	23	5	282	332	400	732	119	342	19	6	316	100	—	—	—	—	—	—
2010	26	AAA RAW	3 teams	—	451	403	120	26	5	7	35	81	5	23	5	298	361	439	800	141	355	18	8	351	100	—	—	—	—	—	—
2011	27	AAA MLE	3 teams	—	738	667	199	38	11	13	48	142	7	40	18	298	352	447	799	148	360	19	7	342	117	—	—	—	—	—	—
2011	27	AAA RAW	3 teams	—	738	647	195	44	12	12	68	134	7	40	18	301	374	462	836	161	362	18	9	364	117	—	—	—	—	—	—
2012	28	MLB MLE	2 teams	—	606	547	151	29	6	10	45	113	9	26	12	276	341	406	747	130	332	19	7	332	111	+8	+0	-2	+2	+13	2.2
2012	28	MLB RAW	2 teams	—	606	544	152	30	6	10	48	112	9	26	12	279	348	412	760	132	336	18	8	338	111	+8	+0	-2	+2	+13	2.2
2013	29	MLB MLE	Chicago White Sox	—	675	608	160	27	4	17	49	147	6	20	8	263	324	405	729	141	318	22	7	319	102	+2	+1	-4	+2	+15	1.6
2013	29	MLB RAW	Chicago White Sox	—	675	607	160	27	4	17	50	147	6	20	8	264	326	405	731	142	318	22	7	322	102	+2	+1	-4	+2	+15	1.6
2014	30	MLB MLE	Baltimore Orioles	—	528	479	118	24	8	7	37	119	6	17	10	246	308	374	682	127	312	23	7	305	93	-5	-1	-5	-6	+11	-0.4
2014	30	MLB RAW	Baltimore Orioles	—	528	477	120	24	8	8	39	119	6	17	10	252	316	386	702	134	317	23	7	311	93	-5	-1	-5	-6	+11	-0.4
2015	31	MLB MLE	San Francisco Giants	—	365	328	87	17	7	8	28	84	5	7	5	265	332	433	765	168	332	23	8	334	112	+5	-1	-8	-4	+8	0.1
2015	31	MLB RAW	San Francisco Giants	—	365	325	85	17	7	7	31	84	5	7	5	262	335	422	757	160	331	23	8	334	112	+5	-1	-8	-4	+8	0.1
2016	32	MLB MLE	New York Mets	—	267	235	50	10	0	6	25	67	5	4	3	213	302	332	634	119	270	25	9	287	80	-6	-0	-1	+1	+6	-0.1
2016	32	MLB RAW	New York Mets	—	267	234	48	9	0	6	26	67	5	4	3	205	298	321	619	115	259	25	10	284	80	-6	-0	-1	+1	+6	-0.1
2017	33	AAA MLE	3 teams	—	396	360	78	14	5	5	24	73	4	4	2	217	273	325	598	108	255	18	6	254	58	—	—	—	—	—	—
2017	33	AAA RAW	3 teams	—	396	346	101	23	5	5	38	61	4	4	2	292	369	431	799	139	338	15	10	351	58	—	—	—	—	—	—
2018	34	INTL MLE	3 teams	—	410	363	84	16	0	2	34	70	7	5	4	231	309	292	601	61	277	17	8	277	73	—	—	—	—	—	—
2018	34	INTL RAW	3 teams	—	410	352	111	16	1	6	45	54	7	5	4	315	403	418	821	102	354	13	11	368	73	—	—	—	—	—	—
2019	35	INTL MLE	2 teams	—	391	355	97	21	4	13	22	95	8	6	0	273	330	465	795	192	336	24	6	344	119	—	—	—	—	—	—
2019	35	INTL RAW	2 teams	—	391	342	107	20	2	10	35	72	8	6	0	313	390	471	860	158	369	18	9	378	119	—	—	—	—	—	—
2021	37	INTL MLE	Venezuela	—	216	185	62	9	2	5	24	32	4	3	2	335	423	486	909	151	383	15	11	—	—	—	—	—	—	—	—
2021	37	INTL RAW	Venezuela	—	216	185	62	9	2	5	24	32	4	3	2	335	423	486	909	151	383	15	11	400	157	—	—	—	—	—	—
2022	38	INTL MLE	Cangrejeros de Santurce	—	38	35	8	2	0	0	1	8	2	0	1	229	289	286	575	57	296	21	3	—	—	—	—	—	—	—	—
2022	38	INTL RAW	Cangrejeros de Santurce	—	38	35	8	2	0	0	1	8	2	0	1	229	289	286	575	57	296	21	3	268	67	—	—	—	—	—	—
2005	21	A+ MLE	Jupiter Hammerheads	—	554	499	131	24	8	3	42	124	8	34	17	263	336	361	697	98	334	22	8	306	93	—	—	—	—	—	—
2006	22	AA MLE	2 teams	—	294	271	74	13	2	2	17	59	4	30	12	273	336	358	694	85	333	20	6	298	88	—	—	—	—	—	—
2007	23	MLB MLE	2 teams	—	181	171	40	10	2	2	7	39	1	2	0	234	276	351	627	117	301	22	4	267	67	—	—	—	—	—	—
2009	25	AAA MLE	2 teams	—	334	302	76	19	4	6	25	73	4	11	5	252	325	401	726	149	312	22	7	317	100	—	—	—	—	—	—
2010	26	AAA MLE	3 teams	—	451	417	116	24	5	5	26	85	5	23	5	278	332	396	728	118	335	19	6	316	100	—	—	—	—	—	—
2011	27	AAA MLE	3 teams	—	738	677	199	38	11	13	48	142	7	40	18	294	352	440	792	146	351	19	7	342	117	—	—	—	—	—	—
2012	28	MLB MLE	2 teams	—	606	547	151	29	6	10	45	113	9	26	12	276	341	406	747	130	335	19	7	332	111	—	—	—	—	—	—
2013	29	MLB MLE	Chicago White Sox	—	675	615	160	27	4	17	49	147	6	20	8	260	324	400	724	140	318	22	7	319	102	—	—	—	—	—	—
2014	30	MLB MLE	Baltimore Orioles	—	528	480	118	24	8	7	37	119	6	17	10	246	308	373	681	127	317	23	7	305	93	—	—	—	—	—	—
2015	31	MLB MLE	San Francisco Giants	—	365	329	87	17	7	8	28	84	5	7	5	264	332	432	764	167	331	23	8	334	112	—	—	—	—	—	—
2016	32	MLB MLE	New York Mets	—	267	235	50	10	0	6	25	67	5	4	3	213	302	332	634	119	259	25	9	287	80	—	—	—	—	—	—
2017	33	AAA MLE	3 teams	—	396	365	78	14	5	5	24	73	4	4	2	214	273	321	594	107	252	18	6	254	58	—	—	—	—	—	—
2018	34	INTL MLE	3 teams	—	410	366	84	16	0	2	34	70	7	5	4	230	309	290	599	60	271	17	8	277	73	—	—	—	—	—	—
2019	35	INTL MLE	2 teams	—	391	358	97	21	4	13	22	95	8	6	0	271	330	461	791	190	331	24	6	344	119	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2878	2575	669	131	33	51	225	622	33	91	44	260	327	396	723	136	322	22	8	320	89	+8	+1	-12	-13	+62	4.8
/ 162G	—	A+C		—	650	582	152	30	7	12	51	140	7	21	10	261	328	399	727	137	323	22	8	320	89	+2	+0	-3	-3	+14	1.1
Career	—	MLE		—	6444	5784	1531	297	68	104	454	1330	85	232	104	265	327	393	721	129	325	21	7	300	89	+8	+1	-12	-13	+62	4.8
/ 162G	—	MLE		—	650	583	154	30	7	10	46	134	9	23	10	264	328	391	719	127	324	21	7	300	89	+2	+0	-3	-3	+14	1.1

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 AAARochester Red Wings · 148 PAwOBA .442 → .344 (−98)K% 20.3% → 24.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.27%	÷0.999	×1.200	—	—	24.35%
BB% (unintentional) /PA	9.46%	÷1.095	×0.690	—	×0.940	5.60%
HBP% /PA	3.38%	—	×0.940	—	×0.940	2.99%
Singles /BIP	26.53%	÷0.982	×0.930	×0.950	×0.940	22.44%
Doubles /BIP	11.22%	÷1.063	×0.830	×0.950	×0.940	7.83%
Triples /BIP	2.04%	÷1.150	×0.970	×0.950	×0.940	1.54%
Home runs /BIP	6.12%	÷0.958	×0.840	—	×0.940	5.05%

Factors used: league row IL. Park (home-season share, regressed): HR 92, 1B 96, 2B 113, 3B 130, K 100, BB 119 — 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 .442 → .344; ISO .258 → .202; BABIP .419 → .331. 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 AAASyracuse Chiefs · 131 PAwOBA .363 → .293 (−70)K% 13.7% → 15.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.74%	÷1.044	×1.200	—	—	15.79%
BB% (unintentional) /PA	13.74%	÷0.956	×0.690	—	×0.940	9.32%
HBP% /PA	2.29%	—	×0.940	—	×0.940	2.02%
Singles /BIP	28.41%	÷1.044	×0.930	×0.950	×0.940	22.60%
Doubles /BIP	6.82%	÷0.933	×0.830	×0.950	×0.940	5.42%
Triples /BIP	0.00%	÷0.900	×0.970	×0.950	×0.940	0.00%
Home runs /BIP	1.14%	÷1.205	×0.840	—	×0.940	0.74%

Factors used: league row IL. Park (home-season share, regressed): HR 141, 1B 109, 2B 87, 3B 80, K 109, BB 91 — 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 ×0.950.

Result: wOBA .363 → .293; ISO .085 → .069; BABIP .348 → .276. 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 ROKGCL Nationals · 32 PAwOBA .295 → .209 (−86)K% 15.6% → 22.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.62%	÷1.000	×1.440	—	—	22.50%
BB% (unintentional) /PA	6.25%	÷1.000	×0.620	—	×0.940	3.64%
HBP% /PA	0.00%	—	×0.720	—	×0.940	0.00%
Singles /BIP	25.00%	÷1.000	×0.820	—	×0.940	19.27%
Doubles /BIP	8.33%	÷1.000	×0.720	—	×0.940	5.64%
Triples /BIP	0.00%	÷1.000	×0.720	—	×0.940	0.00%
Home runs /BIP	0.00%	÷1.000	×0.780	—	×0.940	0.00%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 34 vs a level average of 19.5 → −6.0% on BB/HBP/hit rates (14.5 yr older than average).

Result: wOBA .295 → .209; ISO .069 → .046; BABIP .333 → .249. 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 AAASyracuse Chiefs · 212 PAwOBA .339 → .262 (−77)K% 14.2% → 16.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.15%	÷1.005	×1.200	—	—	16.90%
BB% (unintentional) /PA	11.32%	÷1.033	×0.690	—	×0.942	7.12%
HBP% /PA	0.47%	—	×0.940	—	×0.942	0.42%
Singles /BIP	23.72%	÷0.997	×0.930	×0.950	×0.942	19.79%
Doubles /BIP	7.05%	÷1.081	×0.830	×0.950	×0.942	4.85%
Triples /BIP	0.00%	÷1.150	×0.970	×0.950	×0.942	0.00%
Home runs /BIP	2.56%	÷0.980	×0.840	—	×0.942	2.07%

Factors used: league row IL. Park (home-season share, regressed): HR 96, 1B 99, 2B 116, 3B 130, K 101, BB 107 — 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 ×0.950.

Result: wOBA .339 → .262; ISO .124 → .095; BABIP .316 → .252. 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 AAACharlotte Knights · 21 PAwOBA .313 → .271 (−42)K% 14.3% → 16.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.29%	÷1.020	×1.200	—	—	16.80%
BB% (unintentional) /PA	4.76%	÷1.047	×0.690	—	×0.992	3.11%
HBP% /PA	0.00%	—	×0.940	—	×0.992	0.00%
Singles /BIP	17.65%	÷1.009	×0.930	—	×0.992	16.13%
Doubles /BIP	5.88%	÷1.065	×0.830	—	×0.992	4.55%
Triples /BIP	0.00%	÷0.900	×0.970	—	×0.992	0.00%
Home runs /BIP	5.88%	÷0.866	×0.840	—	×0.992	5.66%

Factors used: league row IL. Park (home-season share, regressed): HR 73, 1B 102, 2B 113, 3B 80, K 104, BB 109 — 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).

Result: wOBA .313 → .271; ISO .200 → .181; BABIP .250 → .219. 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 AAACharlotte Knights · 435 PAwOBA .364 → .320 (−45)K% 16.6% → 18.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.55%	÷1.049	×1.200	—	—	18.94%
BB% (unintentional) /PA	7.36%	÷0.965	×0.690	—	×1.003	5.27%
HBP% /PA	0.92%	—	×0.940	—	×1.003	0.87%
Singles /BIP	25.96%	÷0.982	×0.930	×1.003	×1.003	24.73%
Doubles /BIP	9.29%	÷1.232	×0.830	×1.003	×1.003	6.30%
Triples /BIP	1.60%	÷0.900	×0.970	×1.003	×1.003	1.74%
Home runs /BIP	2.56%	÷1.074	×0.840	—	×1.003	2.01%

Factors used: league row IL. Park (home-season share, regressed): HR 115, 1B 96, 2B 146, 3B 80, K 110, BB 93 — 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 ×1.003.

Result: wOBA .364 → .320; ISO .164 → .134; BABIP .373 → .330. 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 AAACharlotte Knights · 358 PAwOBA .350 → .317 (−33)K% 16.8% → 19.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.76%	÷1.036	×1.200	—	—	19.41%
BB% (unintentional) /PA	8.10%	÷0.960	×0.690	—	×1.018	5.93%
HBP% /PA	1.40%	—	×0.940	—	×1.018	1.34%
Singles /BIP	25.58%	÷0.987	×0.930	×1.007	×1.018	24.71%
Doubles /BIP	8.14%	÷1.001	×0.830	×1.007	×1.018	6.92%
Triples /BIP	1.55%	÷0.926	×0.970	×1.007	×1.018	1.66%
Home runs /BIP	1.94%	÷1.109	×0.840	—	×1.018	1.49%

Factors used: league row IL. Park (home-season share, regressed): HR 122, 1B 97, 2B 100, 3B 85, K 107, BB 92 — 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 ×1.007.

Result: wOBA .350 → .317; ISO .138 → .122; BABIP .355 → .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).

2009 AAANew Orleans Zephyrs · 307 PAwOBA .367 → .317 (−50)K% 17.3% → 22.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.26%	÷1.000	×1.290	—	—	22.27%
BB% (unintentional) /PA	8.79%	÷1.000	×0.710	—	×1.033	6.45%
HBP% /PA	1.30%	—	×0.980	—	×1.033	1.32%
Singles /BIP	21.50%	÷1.000	×0.900	×1.013	×1.033	20.24%
Doubles /BIP	9.81%	÷1.000	×0.810	×1.013	×1.033	8.32%
Triples /BIP	2.34%	÷1.000	×0.810	×1.013	×1.033	1.98%
Home runs /BIP	3.74%	÷1.000	×0.780	—	×1.033	3.01%

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 ×1.013.

Result: wOBA .367 → .317; ISO .206 → .171; BABIP .346 → .312. 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 — .