Moisés Sierra

PosRF

B/TR/R

Born1988-09-24

Age (2027)38

No MLB projection yet. Career stats below are historical.

Overview

INTLLAST SEASON 2023

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR
2021	32	INTLDominican Rep…	114	.260/.339/.330	1	1	92	—
2022	33	INTLGigantes del …	63	.180/.349/.220	0	0	80	—
2023	34	INTLGigantes del …	50	.143/.265/.238	1	1	47	—

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.

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	17	ROK	DSL Blue Jays	—	281	245	62	16	1	4	24	50	11	17	3	253	346	376	722	122	302	18	9	329	33	—	—	—	—	—	—
2007	18	ROK	GCL Blue Jays	—	156	143	29	5	1	5	5	39	4	2	2	203	247	357	603	154	240	25	3	264	7	—	—	—	—	—	—
2008	19	A	Lansing Lugnuts	—	489	451	111	16	5	9	26	114	8	12	11	246	299	364	663	118	308	23	5	296	53	—	—	—	—	—	—
2009	20	AA	New Hampshire Fisher Cats	—	36	34	12	1	0	1	1	8	0	0	1	353	371	471	842	118	423	22	3	364	118	—	—	—	—	—	—
2009	20	A+	Dunedin Blue Jays	—	459	405	116	24	2	5	34	66	15	10	2	286	363	393	756	106	328	14	7	340	93	—	—	—	—	—	—
2010	21	A+	Dunedin Blue Jays	—	40	37	6	1	0	1	1	11	0	0	1	162	184	270	454	108	185	28	2	192	-2	—	—	—	—	—	—
2010	21	ROK	GCL Blue Jays	—	38	34	9	2	0	1	4	8	0	0	0	265	342	412	754	147	320	21	11	339	39	—	—	—	—	—	—
2011	22	AA	New Hampshire Fisher Cats	—	551	495	137	19	3	18	39	93	12	16	14	277	344	436	781	160	307	17	7	346	96	—	—	—	—	—	—
2011	22	INTL	Gigantes del Cibao	—	106	92	20	3	0	1	10	28	1	3	1	217	301	283	584	65	292	26	9	265	66	—	—	—	—	—	—
2012	23	MLB	Toronto Blue Jays	—	157	147	33	4	0	6	8	44	2	1	0	224	274	374	648	150	278	28	5	290	82	-3	+0	-2	-8	+3	-1.0
2012	23	AAA	Las Vegas 51s	—	422	377	109	16	1	17	39	86	4	7	6	289	362	472	834	183	333	20	9	369	93	—	—	—	—	—	—
2012	23	INTL	Gigantes del Cibao	—	185	157	42	7	0	6	19	32	7	8	6	268	372	427	798	159	303	17	10	357	128	—	—	—	—	—	—
2013	24	MLB	Toronto Blue Jays	—	122	107	31	13	1	1	14	29	0	1	0	290	372	458	830	168	385	24	11	366	129	+4	+0	-3	-8	+3	-0.4
2013	24	AAA	Buffalo Bisons	—	412	379	99	18	5	11	16	106	12	12	4	261	312	422	734	161	331	26	4	323	83	—	—	—	—	—	—
2013	24	INTL	Gigantes del Cibao	—	173	154	51	4	0	4	16	33	2	6	3	331	401	435	836	104	402	19	9	376	140	—	—	—	—	—	—
2014	25	MLB	Chicago White Sox	—	170	161	37	8	2	2	8	43	0	3	1	230	266	342	608	112	299	25	5	270	68	-6	+0	+0	-4	+4	-0.6
2014	25	AAA	Charlotte Knights	—	18	16	4	0	0	0	2	3	0	2	0	250	333	250	583		308	17	11	279	51	—	—	—	—	—	—
2014	25	INTL	Gigantes del Cibao	—	166	148	46	8	1	2	17	39	1	2	1	311	386	419	804	108	411	23	10	363	132	—	—	—	—	—	—
2015	26	AAA	Omaha Storm Chasers	—	259	235	68	8	0	3	20	51	2	13	7	289	350	362	712	72	359	20	8	322	65	—	—	—	—	—	—
2015	26	INTL	Dominican Republic	—	168	147	38	4	0	2	11	28	7	4	2	259	339	327	666	68	305	17	7	304	92	—	—	—	—	—	—
2016	27	AA	Jacksonville Suns	—	307	268	90	16	3	9	30	45	7	6	3	336	416	519	935	183	375	15	10	411	115	—	—	—	—	—	—
2016	27	INTL	Gigantes del Cibao	—	104	93	17	6	0	1	7	28	2	0	1	183	255	280	534	97	242	27	7	242	50	—	—	—	—	—	—
2017	28	AAA	New Orleans Baby Cakes	—	468	422	124	22	3	11	39	81	6	18	3	294	362	438	800	145	341	17	8	357	84	—	—	—	—	—	—
2017	28	INTL	Gigantes del Cibao	—	167	150	53	10	1	1	15	23	1	4	2	353	416	453	869	100	409	14	9	388	149	—	—	—	—	—	—
2018	29	MLB	Washington Nationals	—	60	54	9	2	0	0	2	20	2	1	1	167	224	204	428	37	250	33	3	196	18	-6	-0	+0	-6	+1	-1.0
2018	29	AAA	Syracuse Chiefs	—	255	226	55	12	0	6	23	50	4	3	4	243	324	376	700	133	285	20	9	315	61	—	—	—	—	—	—
2018	29	INTL	Dominican Republic	—	202	165	44	11	1	2	30	31	7	3	2	267	401	382	783	115	318	15	15	362	131	—	—	—	—	—	—
2019	30	AAA	Guerreros de Oaxaca	—	498	411	146	31	2	18	71	79	14	15	9	355	466	572	1.038	217	405	16	14	454	114	—	—	—	—	—	—
2019	30	INTL	Gigantes del Cibao	—	163	135	47	7	1	2	21	32	7	2	1	348	460	459	919	111	446	20	13	417	169	—	—	—	—	—	—
2020	31	INTL	Gigantes del Cibao	—	67	63	16	5	0	3	3	13	1	0	0	254	299	476	775	222	277	19	4	339	116	—	—	—	—	—	—
2021	32	INTL	Dominican Republic	—	114	100	26	4	0	1	10	31	2	1	1	260	339	330	669	70	357	27	9	304	92	—	—	—	—	—	—
2022	33	INTL	Gigantes del Cibao	—	63	50	9	2	0	0	11	16	2	0	0	180	349	220	569	40	265	25	17	286	80	—	—	—	—	—	—
2023	34	INTL	Gigantes del Cibao	—	50	42	6	1	0	1	6	19	1	1	0	143	265	238	503	95	227	38	12	238	47	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	509	469	110	27	3	9	32	136	4	6	2	235	289	362	652	128	308	27	6	290	83	-11	+0	-5	-25	+11	-3.0
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2006	17	ROK MLE	DSL Blue Jays	—	281	252	43	10	1	2	17	61	11	17	3	171	254	242	496	71	208	22	6	217	33	—	—	—	—	—	—
2007	18	ROK MLE	GCL Blue Jays	—	156	147	21	3	1	4	3	56	4	2	2	143	182	259	440	116	184	36	2	179	7	—	—	—	—	—	—
2008	19	A MLE	Lansing Lugnuts	—	489	458	99	13	5	7	19	155	8	12	11	216	260	312	572	96	300	32	4	246	53	—	—	—	—	—	—
2009	20	AA MLE	New Hampshire Fisher Cats	—	36	34	12	1	0	1	1	10	0	0	1	353	371	471	842	118	423	28	3	343	118	—	—	—	—	—	—
2009	20	A+ MLE	Dunedin Blue Jays	—	459	415	110	24	2	4	24	94	15	10	2	265	328	361	690	96	322	20	5	305	93	—	—	—	—	—	—
2010	21	A+ MLE	Dunedin Blue Jays	—	40	37	5	1	0	1	1	16	0	0	1	135	158	243	401	108	173	40	2	165	-2	—	—	—	—	—	—
2010	21	ROK MLE	GCL Blue Jays	—	38	36	6	1	0	1	2	12	0	0	0	167	211	278	488	111	246	32	5	226	39	—	—	—	—	—	—
2011	22	AA MLE	New Hampshire Fisher Cats	—	551	510	136	18	3	14	24	111	12	16	14	267	315	396	711	129	309	20	4	310	96	—	—	—	—	—	—
2012	23	MLB MLE	Toronto Blue Jays	—	157	147	33	4	0	6	8	44	2	1	0	224	274	374	648	150	278	28	5	289	82	-3	+0	-2	-8	+3	-1.0
2012	23	AAA MLE	Las Vegas 51s	—	422	388	99	13	1	13	28	111	4	7	6	255	312	394	706	139	318	26	7	306	93	—	—	—	—	—	—
2013	24	MLB MLE	Toronto Blue Jays	—	122	108	31	13	1	1	13	29	0	1	0	287	364	454	817	167	385	24	11	360	129	+4	+0	-3	-8	+3	-0.4
2013	24	AAA MLE	Buffalo Bisons	—	412	384	93	14	5	11	11	129	12	12	4	242	285	391	676	148	324	31	3	291	83	—	—	—	—	—	—
2014	25	MLB MLE	Chicago White Sox	—	170	161	37	8	2	2	8	43	0	3	1	230	266	342	608	112	299	25	5	269	68	-6	+0	+0	-4	+4	-0.6
2014	25	AAA MLE	Charlotte Knights	—	18	17	4	0	0	0	1	4	0	2	0	235	278	235	513		302	22	6	244	51	—	—	—	—	—	—
2015	26	AAA MLE	Omaha Storm Chasers	—	259	242	61	7	0	2	13	66	2	13	7	252	296	306	602	54	333	25	5	264	65	—	—	—	—	—	—
2016	27	AA MLE	Jacksonville Suns	—	307	280	83	16	3	5	18	56	7	6	3	296	354	429	783	132	345	18	6	338	115	—	—	—	—	—	—
2017	28	AAA MLE	New Orleans Baby Cakes	—	468	435	107	19	2	9	26	108	6	18	3	246	298	361	659	115	310	23	6	292	84	—	—	—	—	—	—
2018	29	MLB MLE	Washington Nationals	—	60	54	9	2	0	0	2	20	2	1	1	167	224	204	428	37	250	33	3	195	18	-6	-0	+0	-6	+1	-1.0
2018	29	AAA MLE	Syracuse Chiefs	—	255	233	49	11	0	4	16	57	4	3	4	210	273	309	582	99	256	22	6	259	61	—	—	—	—	—	—
2019	30	AAA MLE	Guerreros de Oaxaca	—	498	440	119	21	2	13	42	95	14	15	9	270	353	416	769	145	311	19	8	337	114	—	—	—	—	—	—
2006	17	ROK MLE	DSL Blue Jays	—	281	252	43	10	1	2	17	61	11	17	3	171	254	242	496	71	216	22	6	217	33	—	—	—	—	—	—
2006	17	ROK RAW	DSL Blue Jays	—	281	245	62	16	1	4	24	50	11	17	3	253	346	376	722	122	302	18	9	329	33	—	—	—	—	—	—
2007	18	ROK MLE	GCL Blue Jays	—	156	147	21	3	1	4	3	56	4	2	2	143	182	259	440	116	193	36	2	179	7	—	—	—	—	—	—
2007	18	ROK RAW	GCL Blue Jays	—	156	143	29	5	1	5	5	39	4	2	2	203	247	357	603	154	240	25	3	264	7	—	—	—	—	—	—
2008	19	A MLE	Lansing Lugnuts	—	489	458	99	13	5	7	19	155	8	12	11	216	260	312	572	96	308	32	4	246	53	—	—	—	—	—	—
2008	19	A RAW	Lansing Lugnuts	—	489	451	111	16	5	9	26	114	8	12	11	246	299	364	663	118	308	23	5	296	53	—	—	—	—	—	—
2009	20	A+ MLE	2 teams	—	495	449	121	24	2	5	25	103	15	10	3	269	329	365	694	96	335	21	5	308	94	—	—	—	—	—	—
2009	20	A+ RAW	2 teams	—	495	439	128	25	2	6	35	74	15	10	3	292	364	399	763	107	335	15	7	342	94	—	—	—	—	—	—
2010	21	A+ MLE	2 teams	—	78	73	12	2	0	2	3	27	0	0	1	164	197	274	471	110	217	35	4	195	18	—	—	—	—	—	—
2010	21	A+ RAW	2 teams	—	78	71	15	3	0	2	5	19	0	0	1	211	263	338	601	127	250	24	6	263	18	—	—	—	—	—	—
2011	22	AA MLE	2 teams	—	657	607	162	21	4	17	29	133	13	19	15	267	314	399	713	132	313	20	4	310	96	—	—	—	—	—	—
2011	22	AA RAW	2 teams	—	657	587	157	22	3	19	49	121	13	19	15	267	337	412	750	145	305	18	7	333	96	—	—	—	—	—	—
2012	23	AAA MLE	3 teams	—	764	700	173	22	1	25	47	204	13	16	12	247	307	389	695	141	313	27	6	301	90	—	—	—	—	—	—
2012	23	AAA RAW	3 teams	—	764	681	184	27	1	29	66	162	13	16	12	270	346	441	787	170	315	21	9	350	90	—	—	—	—	—	—
2013	24	AAA MLE	3 teams	—	707	654	164	36	9	15	32	209	14	19	7	251	300	402	702	151	343	30	5	307	94	—	—	—	—	—	—
2013	24	AAA RAW	3 teams	—	707	640	181	35	6	16	46	168	14	19	7	283	344	431	776	148	358	24	7	343	94	—	—	—	—	—	—
2014	25	MLB MLE	3 teams	—	354	334	77	15	4	4	18	88	1	7	2	231	272	335	607	105	300	25	5	266	66	-14	+1	+0	-4	+8	-1.0
2014	25	MLB RAW	3 teams	—	354	325	87	16	3	4	27	85	1	7	2	268	326	372	698	105	350	24	8	314	66	-14	+1	+0	-4	+8	-1.0
2015	26	AAA MLE	2 teams	—	427	392	100	11	0	3	21	108	9	17	9	255	308	306	614	51	344	25	5	264	65	—	—	—	—	—	—
2015	26	AAA RAW	2 teams	—	427	382	106	12	0	5	31	79	9	17	9	277	346	348	694	71	338	19	7	315	65	—	—	—	—	—	—
2016	27	AA MLE	2 teams	—	411	374	111	21	4	7	24	74	9	6	4	297	354	430	784	134	350	18	6	338	115	—	—	—	—	—	—
2016	27	AA RAW	2 teams	—	411	361	107	22	3	10	37	73	9	6	4	296	376	457	833	161	344	18	9	369	115	—	—	—	—	—	—
2017	28	AAA MLE	2 teams	—	635	590	146	26	3	12	36	146	7	22	5	247	299	363	661	115	309	23	6	292	84	—	—	—	—	—	—
2017	28	AAA RAW	2 teams	—	635	572	177	32	4	12	54	104	7	22	5	309	376	442	818	133	360	16	9	365	84	—	—	—	—	—	—
2018	29	AAA MLE	3 teams	—	517	470	95	21	0	7	30	127	13	7	7	202	269	291	560	89	259	25	6	247	53	—	—	—	—	—	—
2018	29	AAA RAW	3 teams	—	517	445	108	25	1	8	55	101	13	7	7	243	343	357	700	115	294	20	11	320	53	—	—	—	—	—	—
2019	30	AAA MLE	2 teams	—	661	582	156	27	2	17	56	126	21	17	10	268	354	409	763	141	315	19	8	337	114	—	—	—	—	—	—
2019	30	AAA RAW	2 teams	—	661	546	193	38	3	20	92	111	21	17	10	353	464	544	1.008	190	415	17	14	445	114	—	—	—	—	—	—
2020	31	INTL MLE	Gigantes del Cibao	—	67	63	16	5	0	3	3	13	1	0	0	254	299	476	775	222	277	19	4	—	—	—	—	—	—	—	—
2020	31	INTL RAW	Gigantes del Cibao	—	67	63	16	5	0	3	3	13	1	0	0	254	299	476	775	222	277	19	4	339	116	—	—	—	—	—	—
2021	32	INTL MLE	Dominican Republic	—	114	100	26	4	0	1	10	31	2	1	1	260	339	330	669	70	357	27	9	—	—	—	—	—	—	—	—
2021	32	INTL RAW	Dominican Republic	—	114	100	26	4	0	1	10	31	2	1	1	260	339	330	669	70	357	27	9	304	92	—	—	—	—	—	—
2022	33	INTL MLE	Gigantes del Cibao	—	63	50	9	2	0	0	11	16	2	0	0	180	349	220	569	40	265	25	17	—	—	—	—	—	—	—	—
2022	33	INTL RAW	Gigantes del Cibao	—	63	50	9	2	0	0	11	16	2	0	0	180	349	220	569	40	265	25	17	286	80	—	—	—	—	—	—
2023	34	INTL MLE	Gigantes del Cibao	—	50	42	6	1	0	1	6	19	1	1	0	143	265	238	503	95	227	38	12	—	—	—	—	—	—	—	—
2023	34	INTL RAW	Gigantes del Cibao	—	50	42	6	1	0	1	6	19	1	1	0	143	265	238	503	95	227	38	12	238	47	—	—	—	—	—	—
2006	17	ROK MLE	DSL Blue Jays	—	281	251	43	10	1	2	17	61	11	17	3	171	254	243	497	72	208	22	6	217	33	—	—	—	—	—	—
2007	18	ROK MLE	GCL Blue Jays	—	156	148	21	3	1	4	3	56	4	2	2	142	182	257	439	115	184	36	2	179	7	—	—	—	—	—	—
2008	19	A MLE	Lansing Lugnuts	—	489	459	99	13	5	7	19	155	8	12	11	216	260	312	571	96	300	32	4	246	53	—	—	—	—	—	—
2009	20	A+ MLE	2 teams	—	495	452	121	24	2	5	25	103	15	10	3	268	329	363	692	95	329	21	5	308	94	—	—	—	—	—	—
2010	21	A+ MLE	2 teams	—	78	75	12	2	0	2	3	27	0	0	1	160	197	267	464	107	209	35	4	195	18	—	—	—	—	—	—
2011	22	AA MLE	2 teams	—	657	610	162	21	4	17	29	133	13	19	15	266	314	397	711	131	309	20	4	310	96	—	—	—	—	—	—
2012	23	AAA MLE	3 teams	—	764	698	173	22	1	25	47	204	13	16	12	248	307	390	696	142	307	27	6	301	90	—	—	—	—	—	—
2013	24	AAA MLE	3 teams	—	707	655	164	36	9	15	32	209	14	19	7	250	300	402	702	151	338	30	5	307	94	—	—	—	—	—	—
2014	25	MLB MLE	3 teams	—	354	332	77	15	4	4	18	88	1	7	2	232	272	337	609	105	299	25	5	266	66	—	—	—	—	—	—
2015	26	AAA MLE	2 teams	—	427	394	100	11	0	3	21	108	9	17	9	254	308	305	613	51	333	25	5	264	65	—	—	—	—	—	—
2016	27	AA MLE	2 teams	—	411	375	111	21	4	7	24	74	9	6	4	296	354	429	783	133	345	18	6	338	115	—	—	—	—	—	—
2017	28	AAA MLE	2 teams	—	635	587	146	26	3	12	36	146	7	22	5	249	299	365	663	116	310	23	6	292	84	—	—	—	—	—	—
2018	29	AAA MLE	3 teams	—	517	469	95	21	0	7	30	127	13	7	7	203	269	292	561	90	255	25	6	247	53	—	—	—	—	—	—
2019	30	AAA MLE	2 teams	—	661	579	156	27	2	17	56	126	21	17	10	269	354	411	765	142	311	19	8	337	114	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	509	469	110	27	3	9	32	136	4	6	2	235	289	362	652	128	308	27	6	290	73	-11	+0	-5	-25	+11	-3.0
/ 162G	—	A+C		—	650	599	140	34	4	11	41	174	5	8	3	234	288	359	647	125	308	27	6	290	73	-13	+1	-6	-32	+14	-3.8
Career	—	MLE		—	6926	6337	1537	264	36	132	390	1696	144	173	92	243	301	358	659	116	309	24	6	276	73	-11	+0	-5	-25	+11	-3.0
/ 162G	—	MLE		—	650	595	144	25	3	12	37	159	14	16	9	242	302	355	657	113	308	24	6	276	73	-13	+1	-6	-32	+14	-3.8

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 AAAGuerreros de Oaxaca · 498 PAwOBA .442 → .337 (−105)K% 15.9% → 19.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.86%	÷0.998	×1.200	—	—	19.08%
BB% (unintentional) /PA	13.25%	÷1.036	×0.690	—	×0.962	8.49%
HBP% /PA	2.81%	—	×0.940	—	×0.962	2.54%
Singles /BIP	28.61%	÷1.025	×0.930	×0.950	×0.962	23.72%
Doubles /BIP	9.34%	÷1.200	×0.830	×0.950	×0.962	5.90%
Triples /BIP	0.60%	÷1.058	×0.920	×0.950	×0.962	0.48%
Home runs /BIP	5.42%	÷0.972	×0.700	—	×0.962	3.76%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 94, 1B 105, 2B 140, 3B 112, K 100, BB 107 — 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 ×0.950.

Result: wOBA .442 → .337; ISO .217 → .154; BABIP .405 → .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).

2018 AAASyracuse Chiefs · 255 PAwOBA .309 → .259 (−50)K% 19.6% → 22.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.61%	÷1.044	×1.200	—	—	22.53%
BB% (unintentional) /PA	9.02%	÷0.956	×0.690	—	×0.972	6.32%
HBP% /PA	1.57%	—	×0.940	—	×0.972	1.43%
Singles /BIP	21.02%	÷1.044	×0.930	×1.050	×0.972	19.12%
Doubles /BIP	6.82%	÷0.933	×0.830	×1.050	×0.972	6.19%
Triples /BIP	0.00%	÷0.900	×0.970	×1.050	×0.972	0.00%
Home runs /BIP	3.41%	÷1.205	×0.840	—	×0.972	2.31%

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 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 ×1.050.

Result: wOBA .309 → .259; ISO .133 → .103; BABIP .285 → .256. 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 AAANew Orleans Baby Cakes · 468 PAwOBA .348 → .292 (−56)K% 17.3% → 23.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.31%	÷0.971	×1.290	—	—	22.99%
BB% (unintentional) /PA	8.12%	÷1.005	×0.710	—	×0.982	5.63%
HBP% /PA	1.28%	—	×0.980	—	×0.982	1.23%
Singles /BIP	25.81%	÷1.015	×0.900	×1.050	×0.982	23.60%
Doubles /BIP	6.45%	÷0.918	×0.810	×1.050	×0.982	5.87%
Triples /BIP	0.88%	÷0.977	×0.810	×1.050	×0.982	0.75%
Home runs /BIP	3.23%	÷0.928	×0.780	—	×0.982	2.66%

Factors used: league row PCL. Park (home-season share, regressed): HR 86, 1B 103, 2B 84, 3B 95, K 94, BB 101 — 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 ×1.050.

Result: wOBA .348 → .292; ISO .145 → .119; BABIP .341 → .310. 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 AAJacksonville Suns · 307 PAwOBA .401 → .338 (−64)K% 14.7% → 18.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.66%	÷0.986	×1.220	—	—	18.14%
BB% (unintentional) /PA	9.12%	÷1.029	×0.680	—	×0.968	5.83%
HBP% /PA	2.28%	—	×0.840	—	×0.968	1.85%
Singles /BIP	27.80%	÷0.993	×0.920	×1.043	×0.968	26.00%
Doubles /BIP	7.17%	÷0.957	×0.910	×1.043	×0.968	6.88%
Triples /BIP	1.35%	÷1.013	×0.880	×1.043	×0.968	1.18%
Home runs /BIP	4.04%	÷1.423	×0.800	—	×0.968	2.20%

Factors used: league row SL. Park (home-season share, regressed): HR 185, 1B 99, 2B 91, 3B 103, K 97, BB 106 — applied at half strength. Age: age 28 vs a level average of 24.8 → −3.2% on BB/HBP/hit rates (3.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.043.

Result: wOBA .401 → .338; ISO .183 → .134; BABIP .375 → .345. 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 AAAOmaha Storm Chasers · 259 PAwOBA .314 → .264 (−50)K% 19.7% → 25.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.69%	÷0.999	×1.290	—	—	25.42%
BB% (unintentional) /PA	7.72%	÷1.127	×0.710	—	×1.003	4.88%
HBP% /PA	0.77%	—	×0.980	—	×1.003	0.76%
Singles /BIP	30.98%	÷1.008	×0.900	×1.050	×1.003	29.12%
Doubles /BIP	4.35%	÷0.961	×0.810	×1.050	×1.003	3.86%
Triples /BIP	0.00%	÷0.948	×0.810	×1.050	×1.003	0.00%
Home runs /BIP	1.63%	÷1.157	×0.780	—	×1.003	1.10%

Factors used: league row PCL. Park (home-season share, regressed): HR 131, 1B 102, 2B 92, 3B 90, K 100, BB 125 — 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 ×1.050.

Result: wOBA .314 → .264; ISO .072 → .054; BABIP .359 → .333. 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 AAACharlotte Knights · 18 PAwOBA .272 → .244 (−28)K% 16.7% → 20.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.67%	÷0.975	×1.200	—	—	20.51%
BB% (unintentional) /PA	11.11%	÷1.012	×0.690	—	×1.018	7.71%
HBP% /PA	0.00%	—	×0.940	—	×1.018	0.00%
Singles /BIP	30.77%	÷0.966	×0.930	—	×1.018	30.17%
Doubles /BIP	0.00%	÷0.977	×0.830	—	×1.018	0.00%
Triples /BIP	0.00%	÷0.910	×0.970	—	×1.018	0.00%
Home runs /BIP	0.00%	÷1.118	×0.840	—	×1.018	0.00%

Factors used: league row IL. Park (home-season share, regressed): HR 124, 1B 93, 2B 95, 3B 82, K 95, BB 102 — 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).

Result: wOBA .272 → .244; ISO .000 → .000; BABIP .308 → .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).

2013 AAABuffalo Bisons · 412 PAwOBA .317 → .291 (−26)K% 25.7% → 31.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.73%	÷0.987	×1.200	—	—	31.28%
BB% (unintentional) /PA	3.88%	÷1.015	×0.690	—	×1.033	2.73%
HBP% /PA	2.91%	—	×0.940	—	×1.033	2.83%
Singles /BIP	23.81%	÷0.976	×0.930	×1.030	×1.033	24.14%
Doubles /BIP	6.59%	÷1.094	×0.830	×1.030	×1.033	5.32%
Triples /BIP	1.83%	÷0.900	×0.970	×1.030	×1.033	2.10%
Home runs /BIP	4.03%	÷0.853	×0.840	—	×1.033	4.10%

Factors used: league row IL. Park (home-season share, regressed): HR 71, 1B 95, 2B 119, 3B 80, K 97, BB 103 — 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 ×1.030.

Result: wOBA .317 → .291; ISO .161 → .150; BABIP .331 → .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).

2012 AAALas Vegas 51s · 422 PAwOBA .359 → .306 (−53)K% 20.4% → 26.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.38%	÷1.004	×1.290	—	—	26.18%
BB% (unintentional) /PA	8.77%	÷0.985	×0.710	—	×1.048	6.63%
HBP% /PA	0.95%	—	×0.980	—	×1.048	0.97%
Singles /BIP	25.77%	÷0.985	×0.900	×1.045	×1.048	25.78%
Doubles /BIP	5.50%	÷1.085	×0.810	×1.045	×1.048	4.49%
Triples /BIP	0.34%	÷0.994	×0.810	×1.045	×1.048	0.31%
Home runs /BIP	5.84%	÷1.059	×0.780	—	×1.048	4.51%

Factors used: league row PCL. Park (home-season share, regressed): HR 112, 1B 97, 2B 117, 3B 99, K 101, BB 97 — 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 ×1.045.

Result: wOBA .359 → .306; ISO .183 → .138; BABIP .333 → .318. 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 — .