Marwin Gonzalez

PosSS

B/TS/R

Born1989-03-14

Age (2027)38

No MLB projection yet. Career stats below are historical.

Overview

MLBLAST SEASON 2022

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR
2020	31	MLBMIN	199	.211/.292/.320	5	0	73	0.3
2021	32	MLBHOU	307	.199/.275/.304	5	3	64	-0.4
2022	33	MLBNYY	207	.185/.257/.321	6	3	58	0.2
2023	34	No MLB games played
2024	35	No MLB games played
2025	36	No MLB games played
2026	37	No MLB games played

Last 3 seasons WAR 0.1

Contract

No contract data on file.

Skills · percentileStatcast 2020-2022

Avg EV39

xwOBA35

Speed27

Barrel%26

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 Cubs	—	163	154	35	7	1	4	8	33	0	1	3	227	265	364	629	136	265	20	5	278	0	—	—	—	—	—	—
2007	18	ROK	AZL Cubs	—	69	59	17	3	3	1	9	10	1	1	2	288	391	492	883	203	333	14	13	389	80	—	—	—	—	—	—
2008	19	A	Peoria Chiefs	—	122	116	26	7	0	0	3	15	0	1	1	224	244	284	528	60	252	12	2	232	32	—	—	—	—	—	—
2009	20	A+	Daytona Cubs	—	461	424	102	15	4	2	26	77	2	9	8	241	288	309	597	68	289	17	6	266	49	—	—	—	—	—	—
2010	21	AA	Tennessee Smokies	—	330	305	75	11	3	4	17	40	1	6	4	246	288	341	629	95	268	12	5	277	55	—	—	—	—	—	—
2010	21	A+	Daytona Cubs	—	96	85	23	3	0	0	7	13	1	7	1	271	333	306	639	35	315	14	7	287	63	—	—	—	—	—	—
2010	21	INTL	Leones del Caracas	—	250	210	68	12	1	2	33	31	0	3	2	324	416	419	835	95	369	12	13	369	136	—	—	—	—	—	—
2011	22	AAA	Iowa Cubs	—	226	197	54	12	1	2	16	21	1	3	1	274	332	376	707	102	292	9	7	303	79	—	—	—	—	—	—
2011	22	AA	Tennessee Smokies	—	239	216	65	18	1	2	17	27	3	4	2	301	360	421	781	120	335	11	7	346	97	—	—	—	—	—	—
2011	22	INTL	Leones del Caracas	—	183	168	49	7	0	0	12	24	1	3	2	292	343	333	676	42	338	13	7	307	94	—	—	—	—	—	—
2012	23	MLB	Houston Astros	—	219	205	48	13	0	2	13	29	0	3	3	234	280	327	607	93	264	13	6	273	68	-8	-1	+3	+4	+5	0.3
2012	23	AAA	Oklahoma City RedHawks	—	43	39	13	4	0	1	3	7	1	0	0	333	395	513	908	179	387	16	7	402	116	—	—	—	—	—	—
2012	23	INTL	Leones del Caracas	—	72	61	11	3	0	0	7	8	2	3	1	180	286	230	515	49	204	11	10	242	50	—	—	—	—	—	—
2013	24	MLB	Houston Astros	—	222	204	45	8	0	4	9	37	0	6	2	221	254	319	572	98	250	17	4	247	52	-13	+0	+0	+5	+5	-0.2
2013	24	AAA	Oklahoma City RedHawks	—	183	172	45	10	1	1	8	23	0	4	1	262	294	349	643	87	295	13	4	284	53	—	—	—	—	—	—
2013	24	INTL	Aguilas del Zulia	—	91	74	22	0	0	0	13	9	1	1	1	297	409	297	706		333	10	14	327	107	—	—	—	—	—	—
2014	25	MLB	Houston Astros	—	310	285	79	15	1	6	17	58	4	2	4	277	327	400	727	123	330	19	5	322	102	+1	-1	-1	+3	+7	0.9
2015	26	MLB	Houston Astros	—	370	344	96	18	1	12	16	74	3	4	5	279	317	442	759	163	326	20	4	329	107	+3	-1	-1	+4	+8	1.3
2016	27	MLB	Houston Astros	—	518	484	123	26	3	13	22	118	5	12	6	254	294	401	694	147	311	23	4	304	89	-7	+0	+3	-10	+11	-0.2
2016	27	INTL	Tigres de Aragua	—	54	46	8	0	0	0	6	10	0	0	0	174	269	174	443		222	19	11	212	29	—	—	—	—	—	—
2017	28	MLB	Houston Astros	—	515	455	138	34	0	23	49	99	6	8	3	303	378	530	908	226	343	19	10	395	148	+29	+0	+0	-6	+11	3.6
2018	29	MLB	Houston Astros	—	552	489	121	25	3	16	53	126	3	2	3	247	325	409	734	162	301	23	10	324	102	+1	-1	-1	-6	+12	0.6
2019	30	MLB	Minnesota Twins	—	463	425	112	19	0	15	31	98	6	1	0	264	323	414	737	151	310	21	7	329	106	+4	+0	+4	-5	+10	1.3
2020	31	MLB	Minnesota Twins	—	199	175	37	4	0	5	17	41	3	0	0	211	292	320	612	109	241	21	9	276	73	-6	+0	+4	+1	+4	0.3
2021	32	MLB	Houston Astros	—	307	276	55	14	0	5	20	78	9	3	2	199	275	304	580	105	258	25	7	266	64	-13	-0	+2	+1	+7	-0.4
2021	32	AAA	Sugar Land Skeeters	—	15	13	4	1	0	1	2	3	0	0	0	308	400	615	1.015	308	333	20	13	438	110	—	—	—	—	—	—
2022	33	MLB	New York Yankees	—	207	184	34	7	0	6	14	54	4	3	0	185	257	321	578	136	222	26	7	257	58	-10	+1	+5	+2	+4	0.2
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	3882	3526	888	183	8	107	261	812	43	44	28	252	311	399	711	147	298	21	7	314	99	-7	-2	+20	-6	+84	9.0
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2006	17	ROK MLE	DSL Cubs	—	163	156	23	4	1	2	6	40	0	1	3	147	179	224	403	77	176	25	4	168	0	—	—	—	—	—	—
2007	18	ROK MLE	AZL Cubs	—	69	62	14	2	2	1	6	14	1	1	2	226	304	371	675	145	274	20	9	287	80	—	—	—	—	—	—
2008	19	A MLE	Peoria Chiefs	—	122	117	25	6	0	0	2	20	0	1	1	214	227	265	492	51	248	16	2	216	32	—	—	—	—	—	—
2009	20	A+ MLE	Daytona Cubs	—	461	430	97	15	3	2	20	109	2	9	8	226	263	288	552	63	291	24	4	241	49	—	—	—	—	—	—
2010	21	AA MLE	Tennessee Smokies	—	330	312	73	10	3	3	10	51	1	6	4	234	260	314	574	80	258	15	3	249	55	—	—	—	—	—	—
2010	21	A+ MLE	Daytona Cubs	—	96	86	22	3	0	0	6	18	1	7	1	256	312	291	603	35	303	19	6	262	63	—	—	—	—	—	—
2011	22	AAA MLE	Iowa Cubs	—	226	203	55	11	1	2	10	28	1	3	1	271	308	365	673	94	281	12	4	285	79	—	—	—	—	—	—
2011	22	AA MLE	Tennessee Smokies	—	239	223	64	18	1	2	10	35	3	4	2	287	326	404	730	117	321	15	4	311	97	—	—	—	—	—	—
2012	23	MLB MLE	Houston Astros	—	219	205	47	12	0	2	13	29	0	3	3	229	275	317	592	88	264	13	6	269	68	-8	-1	+3	+4	+5	0.3
2012	23	AAA MLE	Oklahoma City RedHawks	—	43	41	12	4	0	1	1	9	1	0	0	293	326	463	789	171	356	21	2	339	116	—	—	—	—	—	—
2013	24	MLB MLE	Houston Astros	—	222	204	45	8	0	4	9	37	0	6	2	221	254	319	572	98	250	17	4	244	52	-13	+0	+0	+5	+5	-0.2
2013	24	AAA MLE	Oklahoma City RedHawks	—	183	175	41	8	1	1	5	32	0	4	1	234	256	309	564	74	278	17	3	247	53	—	—	—	—	—	—
2014	25	MLB MLE	Houston Astros	—	310	285	78	14	1	6	17	58	4	2	4	274	324	393	717	119	330	19	5	319	102	+1	-1	-1	+3	+7	0.9
2015	26	MLB MLE	Houston Astros	—	370	344	95	17	1	12	16	74	3	4	5	276	314	436	750	160	326	20	4	327	107	+3	-1	-1	+4	+8	1.3
2016	27	MLB MLE	Houston Astros	—	518	485	122	25	3	13	21	118	5	12	6	252	290	396	686	144	311	23	4	300	89	-7	+0	+3	-10	+11	-0.2
2017	28	MLB MLE	Houston Astros	—	515	459	137	32	0	24	45	99	6	8	3	298	369	525	894	227	343	19	9	387	148	+29	+0	+0	-6	+11	3.6
2018	29	MLB MLE	Houston Astros	—	552	492	120	24	3	16	50	126	3	2	3	244	317	402	720	159	301	23	9	318	102	+1	-1	-1	-6	+12	0.6
2019	30	MLB MLE	Minnesota Twins	—	463	427	112	19	0	15	29	98	6	1	0	262	318	412	730	150	310	21	6	325	106	+4	+0	+4	-5	+10	1.3
2020	31	MLB MLE	Minnesota Twins	—	199	175	37	4	0	5	17	41	3	0	0	211	292	320	612	109	241	21	9	276	73	-6	+0	+4	+1	+4	0.3
2021	32	MLB MLE	Houston Astros	—	307	276	54	13	0	5	20	78	9	3	2	196	272	297	569	101	258	25	7	263	64	-13	-0	+2	+1	+7	-0.4
2021	32	AAA MLE	Sugar Land Skeeters	—	15	14	4	1	0	1	1	4	0	0	0	286	333	571	905	286	278	27	7	331	110	—	—	—	—	—	—
2022	33	MLB MLE	New York Yankees	—	207	184	34	7	0	6	14	54	4	3	0	185	257	321	578	136	222	26	7	254	58	-10	+1	+5	+2	+4	0.2
2006	17	ROK MLE	DSL Cubs	—	163	156	23	4	1	2	6	40	0	1	3	147	179	224	403	77	184	25	4	168	0	—	—	—	—	—	—
2006	17	ROK RAW	DSL Cubs	—	163	154	35	7	1	4	8	33	0	1	3	227	265	364	629	136	265	20	5	278	0	—	—	—	—	—	—
2007	18	ROK MLE	AZL Cubs	—	69	62	14	2	2	1	6	14	1	1	2	226	304	371	675	145	277	20	9	287	80	—	—	—	—	—	—
2007	18	ROK RAW	AZL Cubs	—	69	59	17	3	3	1	9	10	1	1	2	288	391	492	883	203	333	14	13	389	80	—	—	—	—	—	—
2008	19	A MLE	Peoria Chiefs	—	122	117	25	6	0	0	2	20	0	1	1	214	227	265	492	51	253	16	2	216	32	—	—	—	—	—	—
2008	19	A RAW	Peoria Chiefs	—	122	116	26	7	0	0	3	15	0	1	1	224	244	284	528	60	252	12	2	232	32	—	—	—	—	—	—
2009	20	A+ MLE	Daytona Cubs	—	461	430	97	15	3	2	20	109	2	9	8	226	263	288	552	63	297	24	4	241	49	—	—	—	—	—	—
2009	20	A+ RAW	Daytona Cubs	—	461	424	102	15	4	2	26	77	2	9	8	241	288	309	597	68	289	17	6	266	49	—	—	—	—	—	—
2010	21	AA MLE	3 teams	—	676	632	150	20	4	5	25	110	2	16	7	237	269	305	574	68	277	16	4	252	57	—	—	—	—	—	—
2010	21	AA RAW	3 teams	—	676	600	166	26	4	6	57	84	2	16	7	277	341	363	705	87	309	12	8	312	57	—	—	—	—	—	—
2011	22	AA MLE	3 teams	—	648	598	164	40	2	5	28	87	5	10	5	274	312	373	685	99	311	13	4	298	88	—	—	—	—	—	—
2011	22	AA RAW	3 teams	—	648	581	168	37	2	4	45	72	5	10	5	289	345	380	726	91	321	11	7	320	88	—	—	—	—	—	—
2012	23	MLB MLE	3 teams	—	334	310	75	20	0	4	18	48	3	6	4	242	290	345	635	103	274	14	5	280	76	-10	-0	+3	+4	+7	0.4
2012	23	MLB RAW	3 teams	—	334	305	72	20	0	3	23	44	3	6	4	236	296	331	627	95	266	13	7	283	76	-10	-0	+3	+4	+7	0.4
2013	24	MLB MLE	3 teams	—	496	463	106	20	1	6	17	84	1	11	4	229	258	315	573	86	266	17	3	246	52	-28	+1	+0	+5	+11	-1.1
2013	24	MLB RAW	3 teams	—	496	450	112	18	1	5	30	69	1	11	4	249	297	327	624	78	282	14	6	275	52	-28	+1	+0	+5	+11	-1.1
2014	25	MLB MLE	Houston Astros	—	310	285	78	14	1	6	17	58	4	2	4	274	324	393	717	119	326	19	5	319	102	+1	-1	-1	+3	+7	0.9
2014	25	MLB RAW	Houston Astros	—	310	285	79	15	1	6	17	58	4	2	4	277	327	400	727	123	330	19	5	322	102	+1	-1	-1	+3	+7	0.9
2015	26	MLB MLE	Houston Astros	—	370	344	95	17	1	12	16	74	3	4	5	276	314	436	750	160	322	20	4	327	107	+3	-1	-1	+4	+8	1.3
2015	26	MLB RAW	Houston Astros	—	370	344	96	18	1	12	16	74	3	4	5	279	317	442	759	163	326	20	4	329	107	+3	-1	-1	+4	+8	1.3
2016	27	MLB MLE	2 teams	—	572	535	134	27	3	15	23	130	5	12	6	250	288	396	684	146	304	23	4	300	89	-7	+0	+3	-10	+12	-0.2
2016	27	MLB RAW	2 teams	—	572	530	131	26	3	13	28	128	5	12	6	247	291	381	672	134	303	22	5	296	89	-7	+0	+3	-10	+12	-0.2
2017	28	MLB MLE	Houston Astros	—	515	459	137	32	0	24	45	99	6	8	3	298	369	525	894	227	334	19	9	387	148	+29	+0	+0	-6	+11	3.6
2017	28	MLB RAW	Houston Astros	—	515	455	138	34	0	23	49	99	6	8	3	303	378	530	908	226	343	19	10	395	148	+29	+0	+0	-6	+11	3.6
2018	29	MLB MLE	Houston Astros	—	552	492	120	24	3	16	50	126	3	2	3	244	317	402	720	159	295	23	9	318	102	+1	-1	-1	-6	+12	0.6
2018	29	MLB RAW	Houston Astros	—	552	489	121	25	3	16	53	126	3	2	3	247	325	409	734	162	301	23	10	324	102	+1	-1	-1	-6	+12	0.6
2019	30	MLB MLE	Minnesota Twins	—	463	427	112	19	0	15	29	98	6	1	0	262	318	412	730	150	308	21	6	325	106	+4	+0	+4	-5	+10	1.3
2019	30	MLB RAW	Minnesota Twins	—	463	425	112	19	0	15	31	98	6	1	0	264	323	414	737	151	310	21	7	329	106	+4	+0	+4	-5	+10	1.3
2020	31	MLB MLE	Minnesota Twins	—	199	175	37	4	0	5	17	41	3	0	0	211	292	320	612	109	241	21	9	276	73	-6	+0	+4	+1	+4	0.3
2020	31	MLB RAW	Minnesota Twins	—	199	175	37	4	0	5	17	41	3	0	0	211	292	320	612	109	241	21	9	276	73	-6	+0	+4	+1	+4	0.3
2021	32	MLB MLE	2 teams	—	322	290	58	14	0	6	21	82	9	3	2	200	275	310	585	110	256	25	7	266	66	-13	-0	+2	+1	+7	-0.3
2021	32	MLB RAW	2 teams	—	322	289	59	15	0	6	22	81	9	3	2	204	281	318	600	114	261	25	7	274	66	-13	-0	+2	+1	+7	-0.3
2022	33	MLB MLE	New York Yankees	—	207	184	34	7	0	6	14	54	4	3	0	185	257	321	578	136	222	26	7	254	58	-10	+1	+5	+2	+4	0.2
2022	33	MLB RAW	New York Yankees	—	207	184	34	7	0	6	14	54	4	3	0	185	257	321	578	136	222	26	7	257	58	-10	+1	+5	+2	+4	0.2
2006	17	ROK MLE	DSL Cubs	—	163	156	23	4	1	2	6	40	0	1	3	147	179	224	403	77	176	25	4	168	0	—	—	—	—	—	—
2007	18	ROK MLE	AZL Cubs	—	69	62	14	2	2	1	6	14	1	1	2	226	304	371	675	145	274	20	9	287	80	—	—	—	—	—	—
2008	19	A MLE	Peoria Chiefs	—	122	119	25	6	0	0	2	20	0	1	1	210	227	261	487	50	248	16	2	216	32	—	—	—	—	—	—
2009	20	A+ MLE	Daytona Cubs	—	461	436	97	15	3	2	20	109	2	9	8	222	263	284	548	62	291	24	4	241	49	—	—	—	—	—	—
2010	21	AA MLE	3 teams	—	676	644	150	20	4	5	25	110	2	16	7	233	269	300	568	67	268	16	4	252	57	—	—	—	—	—	—
2011	22	AA MLE	3 teams	—	648	610	164	40	2	5	28	87	5	10	5	269	312	366	678	97	302	13	4	298	88	—	—	—	—	—	—
2012	23	MLB MLE	3 teams	—	334	310	75	20	0	4	18	48	3	6	4	242	290	345	635	103	279	14	5	280	76	—	—	—	—	—	—
2013	24	MLB MLE	3 teams	—	496	475	106	20	1	6	17	84	1	11	4	223	258	307	565	84	263	17	3	246	52	—	—	—	—	—	—
2014	25	MLB MLE	Houston Astros	—	310	286	78	14	1	6	17	58	4	2	4	273	324	392	715	119	330	19	5	319	102	—	—	—	—	—	—
2015	26	MLB MLE	Houston Astros	—	370	348	95	17	1	12	16	74	3	4	5	273	314	431	745	158	326	20	4	327	107	—	—	—	—	—	—
2016	27	MLB MLE	2 teams	—	572	539	134	27	3	15	23	130	5	12	6	249	288	393	681	145	311	23	4	300	89	—	—	—	—	—	—
2017	28	MLB MLE	Houston Astros	—	515	459	137	32	0	24	45	99	6	8	3	298	369	525	894	227	343	19	9	387	148	—	—	—	—	—	—
2018	29	MLB MLE	Houston Astros	—	552	494	120	24	3	16	50	126	3	2	3	243	317	401	718	158	301	23	9	318	102	—	—	—	—	—	—
2019	30	MLB MLE	Minnesota Twins	—	463	425	112	19	0	15	29	98	6	1	0	264	318	414	732	151	310	21	6	325	106	—	—	—	—	—	—
2020	31	MLB MLE	Minnesota Twins	—	199	177	37	4	0	5	17	41	3	0	0	209	292	316	609	107	241	21	9	276	73	—	—	—	—	—	—
2021	32	MLB MLE	2 teams	—	322	289	58	14	0	6	21	82	9	3	2	201	275	311	586	111	259	25	7	266	66	—	—	—	—	—	—
2022	33	MLB MLE	New York Yankees	—	207	187	34	7	0	6	14	54	4	3	0	182	257	316	573	134	222	26	7	254	58	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	3882	3526	888	183	8	107	261	812	43	44	28	252	311	399	711	147	298	21	7	314	82	-7	-2	+20	-6	+84	9.0
/ 162G	—	A+C		—	650	590	149	31	1	18	44	136	7	7	5	253	312	400	712	147	299	21	7	314	82	-1	-0	+3	-1	+14	1.5
Career	—	MLE		—	6479	5959	1459	285	21	130	354	1274	57	90	57	245	294	365	659	120	290	20	5	289	82	-7	-2	+20	-6	+84	9.0
/ 162G	—	MLE		—	650	598	147	29	2	13	36	128	6	9	6	246	296	366	662	120	291	20	6	289	82	-1	-0	+3	-1	+14	1.5

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.

2021 AAASugar Land Skeeters · 15 PAwOBA .426 → .331 (−95)K% 20.0% → 24.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.00%	÷1.002	×1.200	—	—	23.96%
BB% (unintentional) /PA	13.33%	÷0.975	×0.690	—	×0.952	8.98%
HBP% /PA	0.00%	—	×0.940	—	×0.952	0.00%
Singles /BIP	20.00%	÷1.023	×0.930	—	×0.952	17.31%
Doubles /BIP	10.00%	÷0.923	×0.830	—	×0.952	8.56%
Triples /BIP	0.00%	÷1.150	×0.920	—	×0.952	0.00%
Home runs /BIP	10.00%	÷0.935	×0.700	—	×0.952	7.12%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 87, 1B 105, 2B 85, 3B 130, K 100, BB 95 — 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 .426 → .331; ISO .308 → .232; BABIP .333 → .278. 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 AAAOklahoma City RedHawks · 183 PAwOBA .276 → .247 (−29)K% 12.6% → 17.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.57%	÷0.938	×1.290	—	—	17.29%
BB% (unintentional) /PA	3.83%	÷1.003	×0.710	—	×1.048	2.84%
HBP% /PA	0.00%	—	×0.980	—	×1.048	0.00%
Singles /BIP	22.15%	÷0.984	×0.900	×1.014	×1.048	21.52%
Doubles /BIP	6.71%	÷1.008	×0.810	×1.014	×1.048	5.73%
Triples /BIP	0.67%	÷1.000	×0.810	×1.014	×1.048	0.58%
Home runs /BIP	0.67%	÷1.002	×0.780	—	×1.048	0.55%

Factors used: league row PCL. Park (home-season share, regressed): HR 100, 1B 97, 2B 102, 3B 100, K 88, BB 101 — 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 ×1.014.

Result: wOBA .276 → .247; ISO .087 → .072; BABIP .295 → .278. 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 AAAOklahoma City RedHawks · 43 PAwOBA .384 → .339 (−45)K% 16.3% → 20.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.28%	÷1.018	×1.290	—	—	20.63%
BB% (unintentional) /PA	4.65%	÷1.079	×0.710	—	×1.050	3.21%
HBP% /PA	2.33%	—	×0.980	—	×1.050	2.39%
Singles /BIP	25.00%	÷1.001	×0.900	—	×1.050	23.60%
Doubles /BIP	12.50%	÷0.960	×0.810	—	×1.050	11.07%
Triples /BIP	0.00%	÷1.101	×0.810	—	×1.050	0.00%
Home runs /BIP	3.12%	÷1.033	×0.780	—	×1.050	2.48%

Factors used: league row PCL. Park (home-season share, regressed): HR 107, 1B 100, 2B 92, 3B 120, K 104, BB 116 — 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).

Result: wOBA .384 → .339; ISO .179 → .150; BABIP .387 → .356. 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 AATennessee Smokies · 239 PAwOBA .336 → .311 (−25)K% 11.3% → 14.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	11.30%	÷0.951	×1.220	—	—	14.50%
BB% (unintentional) /PA	6.28%	÷1.090	×0.680	—	×1.042	4.08%
HBP% /PA	1.26%	—	×0.840	—	×1.042	1.10%
Singles /BIP	23.28%	÷1.029	×0.920	×1.028	×1.042	22.29%
Doubles /BIP	9.52%	÷1.001	×0.910	×1.028	×1.042	9.27%
Triples /BIP	0.53%	÷1.150	×0.880	×1.028	×1.042	0.43%
Home runs /BIP	1.06%	÷0.937	×0.800	—	×1.042	0.94%

Factors used: league row SL. Park (home-season share, regressed): HR 87, 1B 106, 2B 100, 3B 130, K 90, BB 118 — 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 ×1.028.

Result: wOBA .336 → .311; ISO .120 → .115; BABIP .335 → .321. 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 AAAIowa Cubs · 226 PAwOBA .296 → .285 (−12)K% 9.3% → 12.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	9.29%	÷0.965	×1.290	—	—	12.42%
BB% (unintentional) /PA	6.19%	÷1.043	×0.710	—	×1.050	4.43%
HBP% /PA	0.44%	—	×0.980	—	×1.050	0.46%
Singles /BIP	22.16%	÷0.980	×0.900	×1.032	×1.050	22.05%
Doubles /BIP	6.82%	÷1.017	×0.810	×1.032	×1.050	5.88%
Triples /BIP	0.57%	÷1.086	×0.810	×1.032	×1.050	0.46%
Home runs /BIP	1.14%	÷0.934	×0.780	—	×1.050	1.00%

Factors used: league row PCL. Park (home-season share, regressed): HR 87, 1B 96, 2B 103, 3B 117, K 93, BB 109 — applied at half strength. Age: age 22 vs a level average of 27.2 → +5.0% on BB/HBP/hit rates (5.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.032.

Result: wOBA .296 → .285; ISO .102 → .093; BABIP .292 → .281. 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 AATennessee Smokies · 330 PAwOBA .271 → .249 (−21)K% 12.1% → 15.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.12%	÷0.960	×1.220	—	—	15.41%
BB% (unintentional) /PA	4.55%	÷1.048	×0.680	—	×1.050	3.10%
HBP% /PA	0.30%	—	×0.840	—	×1.050	0.27%
Singles /BIP	21.51%	÷0.988	×0.920	×1.012	×1.050	21.29%
Doubles /BIP	4.15%	÷1.126	×0.910	×1.012	×1.050	3.56%
Triples /BIP	1.13%	÷1.006	×0.880	×1.012	×1.050	1.05%
Home runs /BIP	1.51%	÷1.049	×0.800	—	×1.050	1.21%

Factors used: league row SL. Park (home-season share, regressed): HR 110, 1B 98, 2B 125, 3B 101, K 92, BB 110 — applied at half strength. Age: age 21 vs a level average of 24.8 → +5.0% on BB/HBP/hit rates (3.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.012.

Result: wOBA .271 → .249; ISO .095 → .082; BABIP .268 → .258. 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 A+Daytona Cubs · 96 PAwOBA .283 → .262 (−21)K% 13.5% → 19.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.54%	÷1.010	×1.420	—	—	19.05%
BB% (unintentional) /PA	7.29%	÷0.938	×0.750	—	×1.027	5.99%
HBP% /PA	1.04%	—	×0.930	—	×1.027	0.99%
Singles /BIP	27.78%	÷1.017	×0.920	×1.041	×1.027	26.86%
Doubles /BIP	4.17%	÷1.107	×0.960	×1.041	×1.027	3.86%
Triples /BIP	0.00%	÷1.150	×0.810	×1.041	×1.027	0.00%
Home runs /BIP	0.00%	÷1.026	×0.880	—	×1.027	0.00%

Factors used: league row FSL. Park (home-season share, regressed): HR 105, 1B 103, 2B 121, 3B 130, K 102, BB 88 — applied at half strength. Age: age 21 vs a level average of 22.8 → +2.7% on BB/HBP/hit rates (1.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.041.

Result: wOBA .283 → .262; ISO .035 → .032; BABIP .315 → .303. 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 A+Daytona Cubs · 461 PAwOBA .260 → .241 (−19)K% 16.7% → 23.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.70%	÷1.000	×1.420	—	—	23.72%
BB% (unintentional) /PA	5.64%	÷1.000	×0.750	—	×1.042	4.41%
HBP% /PA	0.43%	—	×0.930	—	×1.042	0.42%
Singles /BIP	23.34%	÷1.000	×0.920	×1.050	×1.042	23.50%
Doubles /BIP	4.32%	÷1.000	×0.960	×1.050	×1.042	4.54%
Triples /BIP	1.15%	÷1.000	×0.810	×1.050	×1.042	1.02%
Home runs /BIP	0.58%	÷1.000	×0.880	—	×1.042	0.53%

Factors used: league row FSL. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 20 vs a level average of 22.8 → +4.2% on BB/HBP/hit rates (2.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .260 → .241; ISO .068 → .063; BABIP .289 → .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).

Not traceable per stint: some stints lack the counting stats the component translation needs. Level-wide factors that apply instead — .