Erik González

Pos2B

B/TR/R

Born1991-08-31

Age (2027)35

No MLB projection yet. Career stats below are historical.

Overview

INTL

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	32	AAA/INTL2 orgs	620	.258/.307/.343	6	18	55	—	.207/.236/.277
2025	33	INTLDominican Rep…	213	.293/.384/.359	0	2	116	—
2026	34	INTLLeones del Es…	28	.269/.321/.423	0	2	110	—

Contract

No contract data on file.

Skills · percentileStatcast 2020-2022

Speed63

xwOBA29

Avg EV28

Barrel%21

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)
2009	17	ROK	DSL Indians	—	256	234	58	9	3	0	15	36	5	14	2	248	307	312	619	64	293	14	6	282	15	—	—	—	—	—	—
2010	18	ROK	DSL Indians	—	258	240	83	18	1	1	14	19	2	9	4	346	387	442	828	96	369	7	5	368	51	—	—	—	—	—	—
2011	19	ROK	AZL Indians	—	176	159	41	2	3	2	12	31	2	5	1	258	318	346	664	88	307	18	7	297	36	—	—	—	—	—	—
2013	21	A+	Carolina Mudcats	—	163	153	37	9	5	0	5	38	0	1	2	242	266	366	632	124	311	23	3	270	36	—	—	—	—	—	—
2013	21	A	Lake County Captains	—	383	355	92	23	7	9	24	71	1	10	4	259	308	439	747	180	301	19	6	326	69	—	—	—	—	—	—
2013	21	INTL	Leones del Escogido	—	167	163	53	6	6	1	3	47	1	3	0	325	341	454	795	129	452	28	2	350	123	—	—	—	—	—	—
2014	22	AA	Akron RubberDucks	—	136	129	46	6	3	1	7	23	0	6	1	357	390	473	863	116	429	17	5	383	120	—	—	—	—	—	—
2014	22	A+	Carolina Mudcats	—	336	308	89	14	7	3	23	65	0	15	6	289	338	409	747	120	355	19	7	329	68	—	—	—	—	—	—
2014	22	INTL	Leones del Escogido	—	43	40	8	1	0	0	2	13	1	1	1	200	256	225	481	25	296	30	5	227	40	—	—	—	—	—	—
2015	23	AAA	Columbus Clippers	—	261	238	53	6	3	3	15	47	3	8	2	223	277	311	588	88	266	18	6	263	49	—	—	—	—	—	—
2015	23	AA	Akron RubberDucks	—	327	311	87	18	4	6	11	56	1	10	5	280	307	421	728	141	321	17	3	318	84	—	—	—	—	—	—
2015	23	INTL	Leones del Escogido	—	65	61	16	1	1	1	3	8	1	1	1	262	308	361	668	98	288	12	5	301	90	—	—	—	—	—	—
2016	24	MLB	Cleveland Indians	—	17	16	5	0	0	0	1	8	0	0	1	312	353	312	665		625	47	6	307	94	-0	-0	+2	+6	+0	0.8
2016	24	AAA	Columbus Clippers	—	460	429	127	31	1	11	19	88	3	12	10	296	330	450	780	154	349	19	4	339	84	—	—	—	—	—	—
2016	24	INTL	Leones del Escogido	—	86	77	21	2	1	3	6	17	1	2	0	273	333	442	775	169	310	20	7	336	114	—	—	—	—	—	—
2017	25	MLB	Cleveland Indians	—	115	110	28	6	0	4	3	37	0	1	2	255	274	418	693	164	343	32	3	299	88	-2	-1	+4	+1	+2	0.6
2017	25	AAA	Columbus Clippers	—	170	160	41	4	3	6	7	53	0	5	1	256	287	431	719	175	343	31	4	310	65	—	—	—	—	—	—
2017	25	INTL	Leones del Escogido	—	110	103	27	3	0	0	4	21	1	4	0	262	296	291	588	29	321	19	4	265	65	—	—	—	—	—	—
2018	26	MLB	Cleveland Indians	—	143	136	36	10	1	1	5	34	2	3	0	265	301	375	676	110	347	24	3	302	91	-2	+1	-5	+1	+3	-0.1
2018	26	INTL	Leones del Escogido	—	136	132	30	5	0	1	3	23	0	5	2	227	244	288	532	61	266	17	2	238	47	—	—	—	—	—	—
2019	27	MLB	Pittsburgh Pirates	—	156	142	36	4	1	1	9	37	1	4	1	254	303	317	620	63	333	24	6	276	64	-7	+0	+1	+3	+3	0.1
2019	27	AAA	Indianapolis Indians	—	81	78	15	3	1	1	3	29	0	1	1	192	222	295	517	103	292	36	4	231	7	—	—	—	—	—	—
2019	27	INTL	Leones del Escogido	—	46	40	10	2	1	1	4	6	1	0	1	250	333	425	758	175	265	13	9	331	110	—	—	—	—	—	—
2020	28	MLB	Pittsburgh Pirates	—	193	181	41	13	1	3	8	51	0	2	3	227	259	359	618	133	292	26	4	269	68	-7	-1	+2	+2	+4	0.0
2021	29	MLB	Pittsburgh Pirates	—	229	220	51	7	1	2	8	40	0	2	2	232	259	300	559	68	274	17	3	251	56	-12	-0	+2	+1	+5	-0.4
2021	29	AAA	Indianapolis Indians	—	50	43	6	2	1	0	4	10	2	0	0	140	245	233	477	93	176	20	8	223	10	—	—	—	—	—	—
2021	29	INTL	Leones del Escogido	—	118	109	29	2	1	0	8	29	1	4	3	266	322	303	625	37	362	25	7	288	81	—	—	—	—	—	—
2022	30	MLB	Miami Marlins	—	41	37	7	1	0	0	4	12	0	1	0	189	268	216	485	27	280	29	10	232	46	-3	+0	+0	+2	+1	0.1
2022	30	AAA	Jacksonville Jumbo Shrimp	—	402	370	105	19	1	4	28	86	2	9	2	284	338	373	710	89	358	21	7	320	61	—	—	—	—	—	—
2022	30	INTL	Leones del Escogido	—	109	105	25	4	1	0	4	22	0	3	3	238	266	295	561	57	301	20	4	254	58	—	—	—	—	—	—
2023	31	AAA	Charlotte Knights	—	493	453	123	21	2	5	32	104	3	3	4	272	324	360	684	88	341	21	6	306	59	—	—	—	—	—	—
2023	31	INTL	Leones del Escogido	—	189	168	54	9	3	1	16	24	0	11	6	321	380	429	809	107	358	13	8	353	125	—	—	—	—	—	—
2024	32	AAA	Louisville Bats	—	464	435	107	24	1	6	24	95	2	6	1	246	289	347	636	101	300	20	5	284	39	—	—	—	—	—	—
2024	32	INTL	Leones del Escogido	—	156	139	41	3	1	0	15	10	0	12	2	295	364	331	695	36	318	6	10	317	101	—	—	—	—	—	—
2025	33	INTL	Dominican Republic	—	213	184	54	8	2	0	26	27	1	2	8	293	384	359	743	65	344	13	12	339	116	—	—	—	—	—	—
2026	34	INTL	Leones del Escogido	—	28	26	7	4	0	0	2	2	0	2	0	269	321	423	745	154	292	7	7	330	110	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	894	842	204	41	4	11	38	219	3	13	9	242	277	340	617	97	312	24	4	274	71	-30	-1	+7	+17	+19	1.2
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2009	17	ROK MLE	DSL Indians	—	256	239	41	6	2	0	10	44	5	14	2	172	220	213	434	42	205	17	4	191	15	—	—	—	—	—	—
2010	18	ROK MLE	DSL Indians	—	258	244	56	11	1	0	10	23	2	9	4	230	266	283	548	53	248	9	4	243	51	—	—	—	—	—	—
2011	19	ROK MLE	AZL Indians	—	176	164	32	1	2	1	7	45	2	5	1	195	237	244	481	49	257	26	4	221	36	—	—	—	—	—	—
2013	21	A+ MLE	Carolina Mudcats	—	163	155	31	7	3	0	3	54	0	1	2	200	215	284	499	84	290	33	2	221	36	—	—	—	—	—	—
2013	21	A MLE	Lake County Captains	—	383	361	81	20	7	7	18	97	1	10	4	224	263	377	640	152	280	25	5	270	69	—	—	—	—	—	—
2014	22	AA MLE	Akron RubberDucks	—	136	131	43	5	3	1	5	29	0	6	1	328	353	435	788	107	423	21	4	346	120	—	—	—	—	—	—
2014	22	A+ MLE	Carolina Mudcats	—	336	317	78	11	5	3	14	96	0	15	6	246	278	341	619	95	334	29	4	268	68	—	—	—	—	—	—
2015	23	AAA MLE	Columbus Clippers	—	261	243	53	5	4	2	10	56	3	8	2	218	258	296	554	78	269	21	4	241	49	—	—	—	—	—	—
2015	23	AA MLE	Akron RubberDucks	—	327	313	85	15	3	6	9	67	1	10	5	272	294	396	690	125	318	20	3	293	84	—	—	—	—	—	—
2016	24	MLB MLE	Cleveland Indians	—	17	16	5	0	0	0	1	8	0	0	1	312	353	312	665		625	47	6	307	94	-0	-0	+2	+6	+0	0.8
2016	24	AAA MLE	Columbus Clippers	—	460	437	117	26	1	8	11	109	3	12	10	268	290	387	677	119	333	24	2	293	84	—	—	—	—	—	—
2017	25	MLB MLE	Cleveland Indians	—	115	110	28	6	0	4	3	37	0	1	2	255	274	418	693	164	343	32	3	298	88	-2	-1	+4	+1	+2	0.6
2017	25	AAA MLE	Columbus Clippers	—	170	162	38	3	3	4	5	64	0	5	1	235	257	364	622	130	350	38	3	265	65	—	—	—	—	—	—
2018	26	MLB MLE	Cleveland Indians	—	143	136	36	10	1	1	5	34	2	3	0	265	301	375	676	110	347	24	3	302	91	-2	+1	-5	+1	+3	-0.1
2019	27	MLB MLE	Pittsburgh Pirates	—	156	145	36	4	1	1	6	37	1	4	1	248	283	310	593	62	333	24	4	263	64	-7	+0	+1	+3	+3	0.1
2019	27	AAA MLE	Indianapolis Indians	—	81	79	12	2	1	1	2	34	0	1	1	152	173	241	413	89	261	42	2	179	7	—	—	—	—	—	—
2020	28	MLB MLE	Pittsburgh Pirates	—	193	181	40	12	1	3	8	51	0	2	3	221	254	348	602	127	292	26	4	268	68	-7	-1	+2	+2	+4	0.0
2021	29	MLB MLE	Pittsburgh Pirates	—	229	220	51	7	1	2	8	40	0	2	2	232	259	300	559	68	274	17	3	252	56	-12	-0	+2	+1	+5	-0.4
2021	29	AAA MLE	Indianapolis Indians	—	50	45	6	2	1	0	2	12	2	0	0	133	204	222	426	89	156	24	4	183	10	—	—	—	—	—	—
2022	30	MLB MLE	Miami Marlins	—	41	37	7	1	0	0	4	12	0	1	0	189	268	216	485	27	280	29	10	237	46	-3	+0	+0	+2	+1	0.1
2022	30	AAA MLE	Jacksonville Jumbo Shrimp	—	402	379	91	17	1	3	19	107	2	9	2	240	280	314	594	74	321	27	5	259	61	—	—	—	—	—	—
2023	31	AAA MLE	Charlotte Knights	—	493	465	113	18	2	3	20	128	3	3	4	243	279	310	588	67	320	26	4	255	59	—	—	—	—	—	—
2024	32	AAA MLE	Louisville Bats	—	464	444	92	20	1	3	15	114	2	6	1	207	236	277	513	70	265	25	3	226	39	—	—	—	—	—	—
2009	17	ROK MLE	DSL Indians	—	256	239	41	6	2	0	10	44	5	14	2	172	220	213	434	42	210	17	4	191	15	—	—	—	—	—	—
2009	17	ROK RAW	DSL Indians	—	256	234	58	9	3	0	15	36	5	14	2	248	307	312	619	64	293	14	6	282	15	—	—	—	—	—	—
2010	18	ROK MLE	DSL Indians	—	258	244	56	11	1	0	10	23	2	9	4	230	266	283	548	53	251	9	4	243	51	—	—	—	—	—	—
2010	18	ROK RAW	DSL Indians	—	258	240	83	18	1	1	14	19	2	9	4	346	387	442	828	96	369	7	5	368	51	—	—	—	—	—	—
2011	19	ROK MLE	AZL Indians	—	176	164	32	1	2	1	7	45	2	5	1	195	237	244	481	49	261	26	4	221	36	—	—	—	—	—	—
2011	19	ROK RAW	AZL Indians	—	176	159	41	2	3	2	12	31	2	5	1	258	318	346	664	88	307	18	7	297	36	—	—	—	—	—	—
2013	21	A MLE	3 teams	—	713	676	145	35	13	9	27	197	2	14	6	214	247	345	591	130	286	28	4	255	59	—	—	—	—	—	—
2013	21	A RAW	3 teams	—	713	671	182	38	18	10	32	156	2	14	6	271	306	426	733	155	337	22	4	319	59	—	—	—	—	—	—
2014	22	A+ MLE	3 teams	—	515	488	132	18	9	4	21	137	1	22	8	270	302	369	671	98	367	27	4	290	83	—	—	—	—	—	—
2014	22	A+ RAW	3 teams	—	515	477	143	21	10	4	32	101	1	22	8	300	345	411	756	111	372	20	6	334	83	—	—	—	—	—	—
2015	23	AA MLE	3 teams	—	653	618	154	23	8	9	21	136	5	19	8	249	280	356	635	107	305	21	3	270	69	—	—	—	—	—	—
2015	23	AA RAW	3 teams	—	653	610	156	25	8	10	29	111	5	19	8	256	295	372	667	116	297	17	4	294	69	—	—	—	—	—	—
2016	24	AAA MLE	3 teams	—	563	534	145	31	1	10	14	139	4	14	11	272	295	390	685	118	348	25	2	293	85	—	—	—	—	—	—
2016	24	AAA RAW	3 teams	—	563	522	153	33	2	14	26	113	4	14	11	293	332	444	776	151	349	20	5	337	85	—	—	—	—	—	—
2017	25	AAA MLE	3 teams	—	395	376	92	13	5	11	11	140	1	10	3	245	268	394	662	149	354	35	3	278	75	—	—	—	—	—	—
2017	25	AAA RAW	3 teams	—	395	373	96	13	3	10	14	111	1	10	3	257	286	389	675	131	336	28	4	294	75	—	—	—	—	—	—
2018	26	MLB MLE	2 teams	—	279	266	70	19	2	2	10	66	2	8	2	263	295	372	667	109	342	24	4	302	91	-3	+1	-5	+1	+6	0.0
2018	26	MLB RAW	2 teams	—	279	268	66	15	1	2	8	57	2	8	2	246	273	332	605	86	305	20	3	271	91	-3	+1	-5	+1	+6	0.0
2019	27	MLB MLE	3 teams	—	283	266	58	8	2	2	10	85	2	5	3	218	252	286	538	68	309	30	4	234	45	-19	-0	+1	+3	+6	-0.9
2019	27	MLB RAW	3 teams	—	283	260	61	9	3	3	16	72	2	5	3	235	284	327	611	92	310	25	6	272	45	-19	-0	+1	+3	+6	-0.9
2020	28	MLB MLE	Pittsburgh Pirates	—	193	181	40	12	1	3	8	51	0	2	3	221	254	348	602	127	285	26	4	268	68	-7	-1	+2	+2	+4	0.0
2020	28	MLB RAW	Pittsburgh Pirates	—	193	181	41	13	1	3	8	51	0	2	3	227	259	359	618	133	292	26	4	269	68	-7	-1	+2	+2	+4	0.0
2021	29	MLB MLE	3 teams	—	397	377	80	12	3	3	15	75	3	6	5	212	248	284	532	72	256	19	4	239	48	-25	-1	+2	+1	+9	-1.3
2021	29	MLB RAW	3 teams	—	397	372	86	11	3	2	20	79	3	6	5	231	276	293	569	62	287	20	5	259	48	-25	-1	+2	+1	+9	-1.3
2022	30	AAA MLE	3 teams	—	552	519	121	23	1	3	29	148	2	13	5	233	276	299	575	66	319	27	5	257	60	—	—	—	—	—	—
2022	30	AAA RAW	3 teams	—	552	512	137	24	2	4	36	120	2	13	5	268	318	346	664	78	341	22	7	300	60	—	—	—	—	—	—
2023	31	AAA MLE	2 teams	—	682	642	155	24	3	4	27	177	3	14	10	241	275	307	582	65	323	26	4	255	59	—	—	—	—	—	—
2023	31	AAA RAW	2 teams	—	682	621	177	30	5	6	48	128	3	14	10	285	339	378	718	93	346	19	7	319	59	—	—	—	—	—	—
2024	32	AAA MLE	2 teams	—	620	593	122	26	1	5	20	153	2	18	3	206	234	278	512	73	267	25	3	226	39	—	—	—	—	—	—
2024	32	AAA RAW	2 teams	—	620	574	148	27	2	6	39	105	2	18	3	258	307	343	651	85	305	17	6	292	39	—	—	—	—	—	—
2025	33	INTL MLE	Dominican Republic	—	213	184	54	8	2	0	26	27	1	2	8	293	384	359	743	65	344	13	12	—	—	—	—	—	—	—	—
2025	33	INTL RAW	Dominican Republic	—	213	184	54	8	2	0	26	27	1	2	8	293	384	359	743	65	344	13	12	339	116	—	—	—	—	—	—
2026	34	INTL MLE	Leones del Escogido	—	28	26	7	4	0	0	2	2	0	2	0	269	321	423	745	154	292	7	7	—	—	—	—	—	—	—	—
2026	34	INTL RAW	Leones del Escogido	—	28	26	7	4	0	0	2	2	0	2	0	269	321	423	745	154	292	7	7	330	110	—	—	—	—	—	—
2009	17	ROK MLE	DSL Indians	—	256	239	41	6	2	0	10	44	5	14	2	172	220	213	434	42	205	17	4	191	15	—	—	—	—	—	—
2010	18	ROK MLE	DSL Indians	—	258	244	56	11	1	0	10	23	2	9	4	230	266	283	548	53	248	9	4	243	51	—	—	—	—	—	—
2011	19	ROK MLE	AZL Indians	—	176	165	32	1	2	1	7	45	2	5	1	194	237	242	479	48	257	26	4	221	36	—	—	—	—	—	—
2013	21	A MLE	3 teams	—	713	678	145	35	13	9	27	197	2	14	6	214	247	344	590	130	283	28	4	255	59	—	—	—	—	—	—
2014	22	A+ MLE	3 teams	—	515	488	132	18	9	4	21	137	1	22	8	270	302	369	671	98	360	27	4	290	83	—	—	—	—	—	—
2015	23	AA MLE	3 teams	—	653	622	154	23	8	9	21	136	5	19	8	248	280	354	633	106	296	21	3	270	69	—	—	—	—	—	—
2016	24	AAA MLE	3 teams	—	563	540	145	31	1	10	14	139	4	14	11	269	295	385	680	117	343	25	2	293	85	—	—	—	—	—	—
2017	25	AAA MLE	3 teams	—	395	380	92	13	5	11	11	140	1	10	3	242	268	389	658	147	347	35	3	278	75	—	—	—	—	—	—
2018	26	MLB MLE	2 teams	—	279	265	70	19	2	2	10	66	2	8	2	264	295	374	669	109	347	24	4	302	91	—	—	—	—	—	—
2019	27	MLB MLE	3 teams	—	283	269	58	8	2	2	10	85	2	5	3	216	252	283	534	67	309	30	4	234	45	—	—	—	—	—	—
2020	28	MLB MLE	Pittsburgh Pirates	—	193	183	40	12	1	3	8	51	0	2	3	219	254	344	598	126	292	26	4	268	68	—	—	—	—	—	—
2021	29	MLB MLE	3 teams	—	397	376	80	12	3	3	15	75	3	6	5	213	248	285	533	72	253	19	4	239	48	—	—	—	—	—	—
2022	30	AAA MLE	3 teams	—	552	516	121	23	1	3	29	148	2	13	5	234	276	300	577	66	317	27	5	257	60	—	—	—	—	—	—
2023	31	AAA MLE	2 teams	—	682	647	155	24	3	4	27	177	3	14	10	240	275	304	580	65	320	26	4	255	59	—	—	—	—	—	—
2024	32	AAA MLE	2 teams	—	620	593	122	26	1	5	20	153	2	18	3	206	234	278	512	73	265	25	3	226	39	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	32	AAA MLE	2 teams	—	620	593	122	26	1	5	20	153	2	18	3	206	234	278	512	73	265	25	3	226	39	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	894	842	204	41	4	11	38	219	3	13	9	242	277	340	617	97	312	24	4	274	55	-30	-1	+7	+17	+19	1.2
/ 162G	—	A+C		—	650	612	149	30	3	8	28	159	2	9	7	243	279	342	620	98	314	24	4	274	55	-22	-1	+5	+12	+14	0.9
Career	—	MLE		—	6776	6393	1504	274	56	66	268	1645	37	177	82	235	270	327	597	91	305	24	4	249	55	-30	-1	+7	+17	+19	1.2
/ 162G	—	MLE		—	650	613	143	26	5	6	26	158	4	17	8	233	269	321	591	88	302	24	4	249	55	-22	-1	+5	+12	+14	0.9

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.

2024 AAALouisville Bats · 464 PAwOBA .278 → .226 (−53)K% 20.5% → 24.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.47%	÷0.999	×1.200	—	—	24.60%
BB% (unintentional) /PA	5.17%	÷1.032	×0.690	—	×0.942	3.26%
HBP% /PA	0.43%	—	×0.940	—	×0.942	0.38%
Singles /BIP	22.35%	÷0.995	×0.930	×1.033	×0.942	20.33%
Doubles /BIP	7.06%	÷0.964	×0.830	×1.033	×0.942	5.91%
Triples /BIP	0.29%	÷1.150	×0.970	×1.033	×0.942	0.24%
Home runs /BIP	1.76%	÷1.111	×0.700	—	×0.942	1.05%

Factors used: league row International League. Park (home-season share, regressed): HR 122, 1B 99, 2B 93, 3B 130, K 100, BB 106 — 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 ×1.033.

Result: wOBA .278 → .226; ISO .101 → .073; BABIP .300 → .265. 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).

2023 AAACharlotte Knights · 493 PAwOBA .300 → .255 (−45)K% 21.1% → 25.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.10%	÷0.978	×1.200	—	—	25.90%
BB% (unintentional) /PA	6.49%	÷1.078	×0.690	—	×0.952	3.95%
HBP% /PA	0.61%	—	×0.940	—	×0.952	0.54%
Singles /BIP	27.22%	÷0.967	×0.930	×1.050	×0.952	26.17%
Doubles /BIP	6.02%	÷0.971	×0.830	×1.050	×0.952	5.14%
Triples /BIP	0.57%	÷0.996	×0.970	×1.050	×0.952	0.56%
Home runs /BIP	1.43%	÷1.152	×0.700	—	×0.952	0.83%

Factors used: league row International League. Park (home-season share, regressed): HR 130, 1B 93, 2B 94, 3B 99, K 96, BB 116 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .300 → .255; ISO .088 → .066; BABIP .341 → .320. 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).

2022 AAAJacksonville Jumbo Shrimp · 402 PAwOBA .313 → .259 (−54)K% 21.4% → 26.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.39%	÷0.966	×1.200	—	—	26.59%
BB% (unintentional) /PA	6.97%	÷0.978	×0.690	—	×0.962	4.73%
HBP% /PA	0.50%	—	×0.940	—	×0.962	0.45%
Singles /BIP	28.52%	÷1.054	×0.930	×1.050	×0.962	25.42%
Doubles /BIP	6.69%	÷0.898	×0.830	×1.050	×0.962	6.25%
Triples /BIP	0.35%	÷0.930	×0.970	×1.050	×0.962	0.37%
Home runs /BIP	1.41%	÷1.032	×0.700	—	×0.962	0.92%

Factors used: league row International League. Park (home-season share, regressed): HR 106, 1B 111, 2B 80, 3B 86, K 93, BB 96 — 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 ×1.050.

Result: wOBA .313 → .259; ISO .089 → .072; BABIP .358 → .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).

2021 AAAIndianapolis Indians · 50 PAwOBA .223 → .183 (−39)K% 20.0% → 25.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.00%	÷0.961	×1.200	—	—	24.98%
BB% (unintentional) /PA	8.00%	÷1.100	×0.690	—	×0.972	4.88%
HBP% /PA	4.00%	—	×0.940	—	×0.972	3.65%
Singles /BIP	9.09%	÷1.011	×0.930	—	×0.972	8.13%
Doubles /BIP	6.06%	÷0.986	×0.830	—	×0.972	4.96%
Triples /BIP	3.03%	÷0.914	×0.920	—	×0.972	2.96%
Home runs /BIP	0.00%	÷1.096	×0.700	—	×0.972	0.00%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 119, 1B 102, 2B 97, 3B 83, K 92, BB 120 — 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).

Result: wOBA .223 → .183; ISO .093 → .084; BABIP .176 → .156. 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).

2019 AAAIndianapolis Indians · 81 PAwOBA .224 → .179 (−45)K% 35.8% → 42.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	35.80%	÷1.013	×1.200	—	—	42.41%
BB% (unintentional) /PA	3.70%	÷1.010	×0.690	—	×0.992	2.51%
HBP% /PA	0.00%	—	×0.940	—	×0.992	0.00%
Singles /BIP	20.41%	÷1.026	×0.930	—	×0.992	18.36%
Doubles /BIP	6.12%	÷0.901	×0.830	—	×0.992	5.59%
Triples /BIP	2.04%	÷1.150	×0.970	—	×0.992	1.71%
Home runs /BIP	2.04%	÷0.953	×0.840	—	×0.992	1.78%

Factors used: league row IL. Park (home-season share, regressed): HR 91, 1B 105, 2B 80, 3B 130, K 103, BB 102 — 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 .224 → .179; ISO .103 → .082; BABIP .292 → .261. 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 AAAColumbus Clippers · 170 PAwOBA .303 → .265 (−38)K% 31.2% → 37.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	31.18%	÷0.989	×1.200	—	—	37.83%
BB% (unintentional) /PA	4.12%	÷1.089	×0.690	—	×1.018	2.66%
HBP% /PA	0.00%	—	×0.940	—	×1.018	0.00%
Singles /BIP	26.17%	÷0.945	×0.930	×1.050	×1.018	27.52%
Doubles /BIP	3.74%	÷1.018	×0.830	×1.050	×1.018	3.26%
Triples /BIP	2.80%	÷0.900	×0.970	×1.050	×1.018	3.23%
Home runs /BIP	5.61%	÷1.231	×0.840	—	×1.018	3.89%

Factors used: league row IL. Park (home-season share, regressed): HR 146, 1B 89, 2B 104, 3B 80, K 98, BB 118 — 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 ×1.050.

Result: wOBA .303 → .265; ISO .175 → .135; BABIP .343 → .350. 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 AAAColumbus Clippers · 460 PAwOBA .329 → .293 (−36)K% 19.1% → 23.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.13%	÷0.965	×1.200	—	—	23.78%
BB% (unintentional) /PA	3.70%	÷1.077	×0.690	—	×1.033	2.45%
HBP% /PA	0.65%	—	×0.940	—	×1.033	0.63%
Singles /BIP	24.63%	÷1.018	×0.930	×1.050	×1.033	24.42%
Doubles /BIP	9.09%	÷1.043	×0.830	×1.050	×1.033	7.85%
Triples /BIP	0.29%	÷0.901	×0.970	×1.050	×1.033	0.34%
Home runs /BIP	3.23%	÷1.113	×0.840	—	×1.033	2.51%

Factors used: league row IL. Park (home-season share, regressed): HR 123, 1B 104, 2B 109, 3B 80, K 93, BB 115 — 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 ×1.050.

Result: wOBA .329 → .293; ISO .154 → .126; BABIP .349 → .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).

2015 AAAkron RubberDucks · 327 PAwOBA .312 → .293 (−19)K% 17.1% → 20.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.13%	÷1.019	×1.220	—	—	20.51%
BB% (unintentional) /PA	3.36%	÷0.934	×0.700	—	×1.012	2.55%
HBP% /PA	0.31%	—	×0.850	—	×1.012	0.26%
Singles /BIP	23.14%	÷0.971	×0.970	×1.032	×1.012	24.14%
Doubles /BIP	7.06%	÷1.053	×0.860	×1.032	×1.012	6.03%
Triples /BIP	1.57%	÷1.150	×0.950	×1.032	×1.012	1.35%
Home runs /BIP	2.35%	÷0.842	×0.780	—	×1.012	2.20%

Factors used: league row EL. Park (home-season share, regressed): HR 68, 1B 94, 2B 111, 3B 130, K 104, BB 87 — applied at half strength. Age: age 24 vs a level average of 24.8 → +1.2% on BB/HBP/hit rates (0.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.032.

Result: wOBA .312 → .293; ISO .141 → .124; BABIP .321 → .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 — .