Ezequiel Carrera

PosLF

B/TL/L

Born1987-06-11

Age (2027)40

No MLB projection yet. Career stats below are historical.

Overview

INTLLAST SEASON 2020

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2018	31	AAA/INTL2 orgs	382	.269/.349/.353	3	22	89	—	.169/.206/.230
2019	32	AAA/INTL2 orgs	196	.260/.352/.337	2	4	91	—	.133/.188/.167
2020	33	INTLNavegantes de…	59	.164/.220/.200	0	1	20	—

Contract

No contract data on file.

Skills · percentileStatcast 2015-2017

Speed63

xwOBA34

Barrel%19

Avg EV10

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	18	ROK	VSL Mets	—	173	150	34	3	2	0	15	47	3	7	8	227	310	273	583	47	327	27	9	266	10	—	—	—	—	—	—
2006	19	ROK	VSL Mets	—	247	216	65	4	5	1	16	27	7	22	11	301	368	380	748	79	337	11	6	329	42	—	—	—	—	—	—
2007	20	ROK	GCL Mets	—	209	179	61	8	3	1	26	29	2	16	5	341	430	436	866	95	403	14	12	388	86	—	—	—	—	—	—
2008	21	A+	St. Lucie Mets	—	494	430	113	11	12	7	46	86	9	28	9	263	346	393	739	130	312	17	9	328	80	—	—	—	—	—	—
2009	22	AA	West Tenn Diamond Jaxx	—	405	329	111	12	4	2	59	62	4	27	13	337	444	416	860	79	407	15	15	381	129	—	—	—	—	—	—
2010	23	AAA	Columbus Clippers	—	426	374	103	13	5	1	32	66	4	20	8	275	339	345	684	70	331	15	8	301	78	—	—	—	—	—	—
2010	23	ROK	AZL Indians	—	15	14	6	1	0	0	1	2	0	0	0	429	467	500	967	71	500	13	7	434	93	—	—	—	—	—	—
2010	23	INTL	Navegantes del Magallanes	—	172	142	37	7	0	0	20	17	5	8	4	261	371	310	681	49	296	10	12	313	98	—	—	—	—	—	—
2011	24	MLB	Cleveland Indians	—	226	202	49	8	3	0	16	35	1	10	5	243	301	312	613	69	293	15	7	272	72	-8	+0	+1	+3	+5	0.1
2011	24	AAA	Columbus Clippers	—	377	328	94	8	3	2	39	53	5	35	4	287	371	348	719	61	337	14	10	327	88	—	—	—	—	—	—
2011	24	INTL	Navegantes del Magallanes	—	179	152	41	3	6	2	18	21	2	11	2	270	355	408	763	138	295	12	10	329	109	—	—	—	—	—	—
2012	25	MLB	Cleveland Indians	—	158	147	40	6	3	2	8	35	1	8	1	272	314	395	709	122	342	22	5	312	97	-1	+1	-3	-8	+3	-0.7
2012	25	AAA	Columbus Clippers	—	438	394	116	19	6	6	29	60	3	26	7	294	347	419	766	124	332	14	7	333	89	—	—	—	—	—	—
2012	25	INTL	Navegantes del Magallanes	—	133	112	32	5	1	2	17	16	0	8	3	286	380	402	782	116	316	12	13	344	119	—	—	—	—	—	—
2013	26	MLB	Cleveland Indians	—	21	17	3	0	0	0	1	5	2	0	0	176	300	176	476		250	24	5	233	43	-1	+0	-1	-8	+0	-1.0
2013	26	AAA	Columbus Clippers	—	464	416	103	16	5	5	38	87	2	43	12	248	314	346	660	99	301	19	8	295	70	—	—	—	—	—	—
2013	26	INTL	Venezuela	—	256	209	62	8	2	4	37	36	6	23	5	297	417	411	828	115	341	14	14	373	139	—	—	—	—	—	—
2014	27	MLB	Detroit Tigers	—	73	69	18	4	1	0	3	14	1	7	1	261	301	348	649	87	327	19	4	292	80	-2	+1	+3	+2	+2	0.6
2014	27	AAA	Toledo Mud Hens	—	434	374	115	15	5	6	48	65	3	43	13	307	391	422	813	115	355	15	11	360	100	—	—	—	—	—	—
2014	27	INTL	Navegantes del Magallanes	—	121	102	28	2	4	2	16	16	2	4	1	275	383	431	815	157	310	13	13	363	132	—	—	—	—	—	—
2015	28	MLB	Toronto Blue Jays	—	192	172	47	8	0	3	11	45	2	2	1	273	324	372	696	99	349	23	6	303	91	-2	+0	-6	-4	+4	-0.8
2015	28	AAA	Buffalo Bisons	—	133	116	32	5	0	1	12	16	1	6	2	276	349	345	694	69	313	12	9	309	78	—	—	—	—	—	—
2015	28	INTL	Navegantes del Magallanes	—	74	61	16	3	2	0	11	10	1	2	0	262	384	377	761	115	314	14	15	344	119	—	—	—	—	—	—
2016	29	MLB	Toronto Blue Jays	—	310	270	67	9	1	6	27	70	4	7	4	248	326	356	681	107	311	23	9	302	90	-4	-0	-2	-3	+7	-0.3
2016	29	AAA	Buffalo Bisons	—	16	14	1	0	1	0	2	4	0	0	0	71	188	214	402	143	100	25	12	188	-23	—	—	—	—	—	—
2017	30	MLB	Toronto Blue Jays	—	325	287	81	10	1	8	30	75	3	10	1	282	356	408	764	125	358	23	9	340	115	+6	+2	-10	-3	+7	0.1
2018	31	AAA	Las Vegas 51s	—	158	145	28	7	0	1	10	30	0	11	1	193	245	262	507	69	235	19	6	229	13	—	—	—	—	—	—
2018	31	INTL	Tigres de Aragua	—	224	189	62	10	1	2	28	36	3	11	1	328	423	423	846	95	395	16	12	378	142	—	—	—	—	—	—
2019	32	AAA	Oklahoma City Dodgers	—	32	29	5	1	0	0	3	9	0	1	0	172	250	207	457	34	250	28	9	219	-9	—	—	—	—	—	—
2019	32	INTL	Tigres de Aragua	—	164	140	39	2	2	2	18	26	3	3	2	279	373	364	737	86	325	16	11	333	111	—	—	—	—	—	—
2020	33	INTL	Navegantes del Magallanes	—	59	55	9	2	0	0	4	7	0	1	0	164	220	200	420	36	188	12	7	198	20	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	1305	1164	305	45	9	19	96	279	14	44	13	262	326	365	691	103	328	21	7	306	93	-11	+4	-18	-22	+28	-1.9
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2005	18	ROK MLE	VSL Mets	—	173	154	24	2	1	0	11	57	3	7	8	156	226	182	408	26	231	33	6	183	10	—	—	—	—	—	—
2006	19	ROK MLE	VSL Mets	—	247	221	47	3	3	0	11	33	7	22	11	213	272	253	525	41	235	13	4	231	42	—	—	—	—	—	—
2007	20	ROK MLE	GCL Mets	—	209	189	51	6	2	1	16	42	2	16	5	270	333	339	672	69	337	20	8	295	86	—	—	—	—	—	—
2008	21	A+ MLE	St. Lucie Mets	—	494	441	106	11	10	6	35	122	9	28	9	240	309	351	661	111	306	25	7	287	80	—	—	—	—	—	—
2009	22	AA MLE	West Tenn Diamond Jaxx	—	405	347	118	13	4	2	41	76	4	27	13	340	416	418	834	78	406	19	10	359	129	—	—	—	—	—	—
2010	23	AAA MLE	Columbus Clippers	—	426	383	105	12	6	1	23	79	4	20	8	274	322	345	667	70	323	19	5	283	78	—	—	—	—	—	—
2010	23	ROK MLE	AZL Indians	—	15	14	5	1	0	0	1	3	0	0	0	357	400	429	829	71	388	20	7	306	93	—	—	—	—	—	—
2011	24	MLB MLE	Cleveland Indians	—	226	202	50	8	4	0	16	35	1	10	5	248	306	327	633	79	293	15	7	274	72	-8	+0	+1	+3	+5	0.1
2011	24	AAA MLE	Columbus Clippers	—	377	339	94	7	4	1	28	66	5	35	4	277	341	330	672	53	336	18	7	298	88	—	—	—	—	—	—
2012	25	MLB MLE	Cleveland Indians	—	158	148	41	6	4	2	7	35	1	8	1	277	314	412	726	135	342	22	4	312	97	-1	+1	-3	-8	+3	-0.7
2012	25	AAA MLE	Columbus Clippers	—	438	402	113	17	6	5	21	74	3	26	7	281	322	391	712	109	319	17	5	300	89	—	—	—	—	—	—
2013	26	MLB MLE	Cleveland Indians	—	21	17	3	0	0	0	1	5	2	0	0	176	300	176	476		250	24	5	232	43	-1	+0	-1	-8	+0	-1.0
2013	26	AAA MLE	Columbus Clippers	—	464	427	104	15	6	4	27	103	2	43	12	244	292	335	627	91	303	22	6	271	70	—	—	—	—	—	—
2014	27	MLB MLE	Detroit Tigers	—	73	70	18	4	1	0	2	14	1	7	1	257	288	343	631	86	327	19	3	287	80	-2	+1	+3	+2	+2	0.6
2014	27	AAA MLE	Toledo Mud Hens	—	434	390	111	13	5	6	32	77	3	43	13	285	344	390	733	105	327	18	7	316	100	—	—	—	—	—	—
2015	28	MLB MLE	Toronto Blue Jays	—	192	172	47	8	0	3	11	45	2	2	1	273	324	372	696	99	349	23	6	303	91	-2	+0	-6	-4	+4	-0.8
2015	28	AAA MLE	Buffalo Bisons	—	133	120	33	5	0	1	8	19	1	6	2	275	326	342	667	67	305	14	6	283	78	—	—	—	—	—	—
2016	29	MLB MLE	Toronto Blue Jays	—	310	270	67	9	1	6	27	70	4	7	4	248	326	356	681	107	311	23	9	301	90	-4	-0	-2	-3	+7	-0.3
2016	29	AAA MLE	Buffalo Bisons	—	16	15	1	0	1	0	1	5	0	0	0	67	125	200	325	133	83	31	6	134	-23	—	—	—	—	—	—
2017	30	MLB MLE	Toronto Blue Jays	—	325	287	81	10	1	8	30	75	3	10	1	282	356	408	764	125	358	23	9	339	115	+6	+2	-10	-3	+7	0.1
2018	31	AAA MLE	Las Vegas 51s	—	158	148	25	6	0	1	7	39	0	11	1	169	206	230	436	61	213	25	4	187	13	—	—	—	—	—	—
2019	32	AAA MLE	Oklahoma City Dodgers	—	32	30	4	1	0	0	2	11	0	1	0	133	188	167	354	33	202	34	6	155	-9	—	—	—	—	—	—
2005	18	ROK MLE	VSL Mets	—	173	154	24	2	1	0	11	57	3	7	8	156	226	182	408	26	245	33	6	183	10	—	—	—	—	—	—
2005	18	ROK RAW	VSL Mets	—	173	150	34	3	2	0	15	47	3	7	8	227	310	273	583	47	327	27	9	266	10	—	—	—	—	—	—
2006	19	ROK MLE	VSL Mets	—	247	221	47	3	3	0	11	33	7	22	11	213	272	253	525	41	247	13	4	231	42	—	—	—	—	—	—
2006	19	ROK RAW	VSL Mets	—	247	216	65	4	5	1	16	27	7	22	11	301	368	380	748	79	337	11	6	329	42	—	—	—	—	—	—
2007	20	ROK MLE	GCL Mets	—	209	189	51	6	2	1	16	42	2	16	5	270	333	339	672	69	342	20	8	295	86	—	—	—	—	—	—
2007	20	ROK RAW	GCL Mets	—	209	179	61	8	3	1	26	29	2	16	5	341	430	436	866	95	403	14	12	388	86	—	—	—	—	—	—
2008	21	A+ MLE	St. Lucie Mets	—	494	441	106	11	10	6	35	122	9	28	9	240	309	351	661	111	316	25	7	287	80	—	—	—	—	—	—
2008	21	A+ RAW	St. Lucie Mets	—	494	430	113	11	12	7	46	86	9	28	9	263	346	393	739	130	312	17	9	328	80	—	—	—	—	—	—
2009	22	AA MLE	West Tenn Diamond Jaxx	—	405	347	118	13	4	2	41	76	4	27	13	340	416	418	834	78	426	19	10	359	129	—	—	—	—	—	—
2009	22	AA RAW	West Tenn Diamond Jaxx	—	405	329	111	12	4	2	59	62	4	27	13	337	444	416	860	79	407	15	15	381	129	—	—	—	—	—	—
2010	23	AAA MLE	3 teams	—	613	550	150	17	8	1	33	114	9	28	12	273	324	338	663	65	342	19	5	284	78	—	—	—	—	—	—
2010	23	AAA RAW	3 teams	—	613	530	146	21	5	1	53	85	9	28	12	275	351	340	691	64	326	14	9	307	78	—	—	—	—	—	—
2011	24	AAA MLE	3 teams	—	782	699	187	20	9	2	56	131	8	56	11	268	329	330	659	63	325	17	7	289	82	—	—	—	—	—	—
2011	24	AAA RAW	3 teams	—	782	682	184	19	12	4	73	109	8	56	11	270	347	350	698	81	315	14	9	312	82	—	—	—	—	—	—
2012	25	AAA MLE	3 teams	—	729	673	187	28	11	8	34	133	4	42	11	278	316	388	704	110	333	18	5	303	91	—	—	—	—	—	—
2012	25	AAA RAW	3 teams	—	729	653	188	30	10	10	54	111	4	42	11	288	346	410	756	123	331	15	7	331	91	—	—	—	—	—	—
2013	26	AAA MLE	3 teams	—	741	675	163	23	9	6	43	165	10	66	17	241	297	329	626	87	310	22	6	269	68	—	—	—	—	—	—
2013	26	AAA RAW	3 teams	—	741	642	168	24	7	9	76	128	10	66	17	262	349	363	712	101	313	17	10	320	68	—	—	—	—	—	—
2014	27	AAA MLE	3 teams	—	628	570	159	21	7	7	42	112	6	54	15	279	335	377	712	98	334	18	7	312	97	—	—	—	—	—	—
2014	27	AAA RAW	3 teams	—	628	545	161	21	10	8	67	95	6	54	15	295	379	415	793	119	343	15	11	352	97	—	—	—	—	—	—
2015	28	MLB MLE	3 teams	—	399	360	98	16	0	5	23	79	4	10	3	272	323	358	681	86	335	20	6	295	86	-7	+1	-6	-4	+9	-0.7
2015	28	MLB RAW	3 teams	—	399	349	95	16	2	4	34	71	4	10	3	272	344	364	708	92	330	18	9	313	86	-7	+1	-6	-4	+9	-0.7
2016	29	MLB MLE	2 teams	—	326	285	68	9	2	6	28	75	4	7	4	239	315	347	663	109	301	23	9	293	84	-6	-0	-2	-3	+7	-0.5
2016	29	MLB RAW	2 teams	—	326	284	68	9	2	6	29	74	4	7	4	239	319	349	667	109	301	23	9	296	84	-6	-0	-2	-3	+7	-0.5
2017	30	MLB MLE	Toronto Blue Jays	—	325	287	81	10	1	8	30	75	3	10	1	282	356	408	764	125	358	23	9	339	115	+6	+2	-10	-3	+7	0.1
2017	30	MLB RAW	Toronto Blue Jays	—	325	287	81	10	1	8	30	75	3	10	1	282	356	408	764	125	358	23	9	340	115	+6	+2	-10	-3	+7	0.1
2018	31	INTL MLE	2 teams	—	382	356	60	15	0	2	16	95	3	22	2	169	211	228	438	59	222	25	4	187	13	—	—	—	—	—	—
2018	31	INTL RAW	2 teams	—	382	334	90	17	1	3	38	66	3	22	2	269	349	353	703	84	326	17	10	316	13	—	—	—	—	—	—
2019	32	INTL MLE	2 teams	—	196	177	23	4	0	0	13	70	3	4	2	130	202	153	355	23	211	36	7	155	-9	—	—	—	—	—	—
2019	32	INTL RAW	2 teams	—	196	169	44	3	2	2	21	35	3	4	2	260	352	337	690	77	313	18	11	314	-9	—	—	—	—	—	—
2020	33	INTL MLE	Navegantes del Magallanes	—	59	55	9	2	0	0	4	7	0	1	0	164	220	200	420	36	188	12	7	—	—	—	—	—	—	—	—
2020	33	INTL RAW	Navegantes del Magallanes	—	59	55	9	2	0	0	4	7	0	1	0	164	220	200	420	36	188	12	7	198	20	—	—	—	—	—	—
2005	18	ROK MLE	VSL Mets	—	173	157	24	2	1	0	11	57	3	7	8	153	226	178	405	25	231	33	6	183	10	—	—	—	—	—	—
2006	19	ROK MLE	VSL Mets	—	247	227	47	3	3	0	11	33	7	22	11	207	272	247	519	40	235	13	4	231	42	—	—	—	—	—	—
2007	20	ROK MLE	GCL Mets	—	209	189	51	6	2	1	16	42	2	16	5	270	333	339	672	69	337	20	8	295	86	—	—	—	—	—	—
2008	21	A+ MLE	St. Lucie Mets	—	494	447	106	11	10	6	35	122	9	28	9	237	309	347	656	110	306	25	7	287	80	—	—	—	—	—	—
2009	22	AA MLE	West Tenn Diamond Jaxx	—	405	357	118	13	4	2	41	76	4	27	13	331	416	406	822	76	406	19	10	359	129	—	—	—	—	—	—
2010	23	AAA MLE	3 teams	—	613	566	150	17	8	1	33	114	9	28	12	265	324	329	653	64	325	19	5	284	78	—	—	—	—	—	—
2011	24	AAA MLE	3 teams	—	782	712	187	20	9	2	56	131	8	56	11	263	329	324	653	62	320	17	7	289	82	—	—	—	—	—	—
2012	25	AAA MLE	3 teams	—	729	685	187	28	11	8	34	133	4	42	11	273	316	381	697	108	325	18	5	303	91	—	—	—	—	—	—
2013	26	AAA MLE	3 teams	—	741	682	163	23	9	6	43	165	10	66	17	239	297	326	622	87	301	22	6	269	68	—	—	—	—	—	—
2014	27	AAA MLE	3 teams	—	628	575	159	21	7	7	42	112	6	54	15	277	335	374	709	97	327	18	7	312	97	—	—	—	—	—	—
2015	28	MLB MLE	3 teams	—	399	369	98	16	0	5	23	79	4	10	3	266	323	350	673	84	331	20	6	295	86	—	—	—	—	—	—
2016	29	MLB MLE	2 teams	—	326	291	68	9	2	6	28	75	4	7	4	234	315	340	656	107	300	23	9	293	84	—	—	—	—	—	—
2017	30	MLB MLE	Toronto Blue Jays	—	325	289	81	10	1	8	30	75	3	10	1	280	356	405	761	125	358	23	9	339	115	—	—	—	—	—	—
2018	31	INTL MLE	2 teams	—	382	360	60	15	0	2	16	95	3	22	2	167	211	225	436	58	213	25	4	187	13	—	—	—	—	—	—
2019	32	INTL MLE	2 teams	—	196	178	23	4	0	0	13	70	3	4	2	129	202	152	354	22	202	36	7	155	-9	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1305	1164	305	45	9	19	96	279	14	44	13	262	326	365	691	103	328	21	7	306	76	-11	+4	-18	-22	+28	-1.9
/ 162G	—	A+C		—	650	580	151	22	4	9	48	139	7	22	6	260	324	359	683	98	327	21	7	306	76	-5	+2	-9	-11	+14	-1.0
Career	—	MLE		—	6708	6039	1531	200	67	54	436	1386	79	400	124	254	312	336	648	82	319	21	6	280	76	-11	+4	-18	-22	+28	-1.9
/ 162G	—	MLE		—	650	585	147	19	6	5	42	134	8	39	12	251	310	330	640	79	316	21	6	280	76	-5	+2	-9	-11	+14	-1.0

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 AAAOklahoma City Dodgers · 32 PAwOBA .214 → .155 (−59)K% 28.1% → 35.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	28.12%	÷1.014	×1.290	—	—	35.78%
BB% (unintentional) /PA	9.38%	÷0.993	×0.710	—	×0.952	6.38%
HBP% /PA	0.00%	—	×0.980	—	×0.952	0.00%
Singles /BIP	20.00%	÷1.048	×0.900	—	×0.952	16.36%
Doubles /BIP	5.00%	÷1.012	×0.810	—	×0.952	3.81%
Triples /BIP	0.00%	÷1.045	×0.810	—	×0.952	0.00%
Home runs /BIP	0.00%	÷1.073	×0.780	—	×0.952	0.00%

Factors used: league row PCL. Park (home-season share, regressed): HR 115, 1B 110, 2B 102, 3B 109, K 103, BB 99 — 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 .214 → .155; ISO .034 → .024; BABIP .250 → .202. 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 AAALas Vegas 51s · 158 PAwOBA .224 → .187 (−38)K% 19.0% → 24.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.99%	÷0.986	×1.290	—	—	24.85%
BB% (unintentional) /PA	6.33%	÷1.039	×0.710	—	×0.962	4.16%
HBP% /PA	0.00%	—	×0.980	—	×0.962	0.00%
Singles /BIP	17.39%	÷0.992	×0.900	×1.050	×0.962	15.94%
Doubles /BIP	6.09%	÷0.918	×0.810	×1.050	×0.962	5.42%
Triples /BIP	0.00%	÷0.959	×0.810	×1.050	×0.962	0.00%
Home runs /BIP	0.87%	÷1.009	×0.780	—	×0.962	0.65%

Factors used: league row PCL. Park (home-season share, regressed): HR 102, 1B 98, 2B 84, 3B 92, K 97, BB 108 — 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 .224 → .187; ISO .069 → .057; BABIP .235 → .213. 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 AAABuffalo Bisons · 16 PAwOBA .184 → .134 (−50)K% 25.0% → 32.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.00%	÷0.937	×1.200	—	—	32.01%
BB% (unintentional) /PA	12.50%	÷1.034	×0.690	—	×0.982	8.19%
HBP% /PA	0.00%	—	×0.940	—	×0.982	0.00%
Singles /BIP	0.00%	÷1.008	×0.930	—	×0.982	0.00%
Doubles /BIP	0.00%	÷0.917	×0.830	—	×0.982	0.00%
Triples /BIP	10.00%	÷1.150	×0.970	—	×0.982	8.28%
Home runs /BIP	0.00%	÷1.164	×0.840	—	×0.982	0.00%

Factors used: league row IL. Park (home-season share, regressed): HR 133, 1B 102, 2B 83, 3B 130, K 87, BB 107 — 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).

Result: wOBA .184 → .134; ISO .143 → .113; BABIP .100 → .083. 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 AAABuffalo Bisons · 133 PAwOBA .302 → .283 (−18)K% 12.0% → 14.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.03%	÷1.008	×1.200	—	—	14.33%
BB% (unintentional) /PA	9.02%	÷1.040	×0.690	—	×0.992	5.94%
HBP% /PA	0.75%	—	×0.940	—	×0.992	0.70%
Singles /BIP	26.00%	÷0.981	×0.930	×1.050	×0.992	25.67%
Doubles /BIP	5.00%	÷0.944	×0.830	×1.050	×0.992	4.58%
Triples /BIP	0.00%	÷0.900	×0.970	×1.050	×0.992	0.00%
Home runs /BIP	1.00%	÷0.966	×0.840	—	×0.992	0.86%

Factors used: league row IL. Park (home-season share, regressed): HR 93, 1B 96, 2B 89, 3B 80, K 102, BB 108 — 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 ×1.050.

Result: wOBA .302 → .283; ISO .069 → .065; BABIP .313 → .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).

2014 AAAToledo Mud Hens · 434 PAwOBA .354 → .316 (−38)K% 15.0% → 17.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.98%	÷1.017	×1.200	—	—	17.67%
BB% (unintentional) /PA	11.06%	÷1.053	×0.690	—	×1.003	7.27%
HBP% /PA	0.69%	—	×0.940	—	×1.003	0.65%
Singles /BIP	28.80%	÷0.999	×0.930	×1.005	×1.003	27.03%
Doubles /BIP	4.85%	÷1.031	×0.830	×1.005	×1.003	3.94%
Triples /BIP	1.62%	÷1.049	×0.970	×1.005	×1.003	1.51%
Home runs /BIP	1.94%	÷0.899	×0.840	—	×1.003	1.82%

Factors used: league row IL. Park (home-season share, regressed): HR 80, 1B 100, 2B 106, 3B 110, K 103, BB 111 — 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 ×1.005.

Result: wOBA .354 → .316; ISO .115 → .107; BABIP .355 → .327. 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 AAAColumbus Clippers · 464 PAwOBA .288 → .271 (−17)K% 18.8% → 22.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.75%	÷1.013	×1.200	—	—	22.20%
BB% (unintentional) /PA	8.19%	÷0.986	×0.690	—	×1.018	5.84%
HBP% /PA	0.43%	—	×0.940	—	×1.018	0.41%
Singles /BIP	23.40%	÷0.980	×0.930	×1.050	×1.018	23.73%
Doubles /BIP	4.86%	÷0.933	×0.830	×1.050	×1.018	4.62%
Triples /BIP	1.52%	÷0.900	×0.970	×1.050	×1.018	1.75%
Home runs /BIP	1.52%	÷1.111	×0.840	—	×1.018	1.17%

Factors used: league row IL. Park (home-season share, regressed): HR 122, 1B 96, 2B 87, 3B 80, K 103, BB 97 — 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 .288 → .271; ISO .099 → .093; BABIP .301 → .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).

2012 AAAColumbus Clippers · 438 PAwOBA .327 → .300 (−26)K% 13.7% → 16.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.70%	÷0.974	×1.200	—	—	16.87%
BB% (unintentional) /PA	6.62%	÷0.998	×0.690	—	×1.033	4.73%
HBP% /PA	0.68%	—	×0.940	—	×1.033	0.67%
Singles /BIP	25.45%	÷1.002	×0.930	×1.026	×1.033	25.03%
Doubles /BIP	5.69%	÷0.999	×0.830	×1.026	×1.033	5.01%
Triples /BIP	1.80%	÷1.101	×0.970	×1.026	×1.033	1.68%
Home runs /BIP	1.80%	÷1.178	×0.840	—	×1.033	1.32%

Factors used: league row IL. Park (home-season share, regressed): HR 136, 1B 100, 2B 100, 3B 120, K 95, BB 100 — 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 ×1.026.

Result: wOBA .327 → .300; ISO .124 → .107; BABIP .332 → .319. 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 AAAColumbus Clippers · 377 PAwOBA .320 → .298 (−22)K% 14.1% → 17.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.06%	÷0.961	×1.200	—	—	17.56%
BB% (unintentional) /PA	10.34%	÷1.032	×0.690	—	×1.048	7.25%
HBP% /PA	1.33%	—	×0.940	—	×1.048	1.31%
Singles /BIP	29.45%	÷1.020	×0.930	×1.050	×1.048	29.55%
Doubles /BIP	2.91%	÷1.015	×0.830	×1.050	×1.048	2.62%
Triples /BIP	1.09%	÷0.900	×0.970	×1.050	×1.048	1.29%
Home runs /BIP	0.73%	÷1.378	×0.840	—	×1.048	0.46%

Factors used: league row IL. Park (home-season share, regressed): HR 176, 1B 104, 2B 103, 3B 80, K 92, BB 106 — 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 ×1.050.

Result: wOBA .320 → .298; ISO .061 → .056; BABIP .337 → .336. 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 — .