Roberto Pérez

PosC

B/TR/R

Born1988-12-23

Age (2027)38

No MLB projection yet. Career stats below are historical.

Overview

INTLLAST SEASON 2024

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR
2022	33	INTLIndios de May…	30	.143/.200/.179	0	0	8	—
2022	33	MLBPIT	69	.233/.333/.367	2	0	105	0.7
2023	34	MLBSF	17	.133/.235/.133	0	0	15	-0.1
2024	35	INTLLeones de Pon…	66	.167/.286/.204	0	0	42	—
2025	36	No MLB games played
2026	37	No MLB games played

Last 3 seasons WAR 0.7

Contract

No contract data on file.

Skills · percentileStatcast 2021-2023

Barrel%71

Avg EV70

xwOBA38

Speed10

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. Catcher framing: only 2027 Statcast framing is modeled (Baseball Savant server-caches the leaderboard to the current season); prior-year framing is unmodeled — projections for established framers may run 1-3 WAR low.

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	20	A	Lake County Captains	—	63	50	12	1	0	0	8	19	4	0	1	240	387	260	647	20	375	30	13	314	54	—	—	—	—	—	—
2009	20	ROK	AZL Indians	—	154	131	46	12	0	3	16	28	5	4	1	351	441	511	952	160	426	18	10	419	95	—	—	—	—	—	—
2010	21	A	Lake County Captains	—	466	378	82	22	3	6	80	88	5	1	2	217	361	339	699	122	267	19	17	325	61	—	—	—	—	—	—
2010	21	INTL	Indios de Mayaguez	—	86	73	16	2	1	0	11	17	0	0	0	219	321	274	595	55	286	20	13	275	72	—	—	—	—	—	—
2011	22	A+	Kinston Indians	—	351	284	64	16	1	2	62	79	1	1	0	225	366	310	676	85	304	23	18	316	51	—	—	—	—	—	—
2011	22	INTL	Indios de Mayaguez	—	88	65	14	2	0	4	20	14	1	0	0	215	407	431	838	215	208	16	23	373	139	—	—	—	—	—	—
2012	23	AA	Akron Aeros	—	349	283	60	16	2	1	49	67	6	0	1	212	340	293	634	81	269	19	14	291	61	—	—	—	—	—	—
2012	23	INTL	Indios de Mayaguez	—	71	59	17	2	0	0	11	11	0	0	0	288	400	322	722	34	354	15	15	335	113	—	—	—	—	—	—
2013	24	AAA	Columbus Clippers	—	222	187	33	12	0	0	22	59	3	0	1	176	274	241	514	64	250	27	10	234	34	—	—	—	—	—	—
2013	24	AA	Akron Aeros	—	128	93	23	6	0	2	32	25	3	1	1	247	453	376	829	129	318	20	25	390	106	—	—	—	—	—	—
2013	24	INTL	Indios de Mayaguez	—	32	24	4	0	0	0	4	9	2	1	0	167	323	167	489		267	28	12	246	53	—	—	—	—	—	—
2014	25	MLB	Cleveland Indians	—	95	85	23	5	0	1	5	26	0	0	0	271	311	365	676	94	379	27	5	288	80	-2	+0	+6	+7	+2	1.3
2014	25	AAA	Columbus Clippers	—	209	174	53	11	1	8	29	51	1	1	0	305	407	517	924	213	388	24	14	398	117	—	—	—	—	—	—
2014	25	INTL	Indios de Mayaguez	—	106	83	18	6	0	2	20	22	1	0	0	217	375	361	736	145	267	21	19	336	113	—	—	—	—	—	—
2015	26	MLB	Cleveland Indians	—	226	184	42	9	1	7	33	64	2	0	0	228	352	402	754	174	304	28	15	331	108	+2	+0	+12	+5	+5	2.5
2015	26	INTL	Indios de Mayaguez	—	57	51	16	1	0	1	6	10	0	1	0	314	386	392	778	78	375	18	11	355	126	—	—	—	—	—	—
2016	27	MLB	Cleveland Indians	—	184	153	28	6	1	3	23	44	0	0	0	183	290	294	584	111	229	24	12	260	63	-8	+0	+14	+3	+4	1.3
2017	28	MLB	Cleveland Indians	—	248	217	45	12	0	8	26	71	0	0	1	207	292	373	665	166	266	29	10	294	84	-5	-0	+19	+4	+5	2.4
2018	29	MLB	Cleveland Indians	—	210	179	30	9	1	2	21	70	1	1	0	168	259	263	521	95	257	33	10	233	44	-14	+0	+11	+5	+5	0.7
2018	29	INTL	Tigres del Licey	—	80	69	23	4	0	1	10	23	0	1	1	333	418	435	853	101	489	29	12	381	144	—	—	—	—	—	—
2019	30	MLB	Cleveland Indians	—	449	389	93	9	1	24	45	127	4	0	0	239	324	452	777	213	285	28	10	336	113	+7	+0	+27	+8	+10	5.2
2020	31	MLB	Cleveland Indians	—	110	97	16	2	0	1	11	38	2	0	0	165	264	216	480	52	259	35	10	232	43	-7	+0	+8	+2	+2	0.5
2021	32	MLB	Cleveland Indians	—	161	141	21	3	0	7	17	56	1	1	0	149	245	319	564	170	179	35	11	254	58	-8	+0	+4	+4	+3	0.4
2021	32	AAA	Columbus Clippers	—	31	24	3	0	0	0	6	7	0	0	0	125	300	125	425		167	23	19	223	7	—	—	—	—	—	—
2021	32	AA	Akron RubberDucks	—	15	14	5	2	0	0	1	3	0	0	0	357	400	500	900	143	455	20	7	399	82	—	—	—	—	—	—
2021	32	INTL	Puerto Rico	—	23	21	4	1	0	0	2	5	0	0	0	190	261	238	499	48	250	22	9	235	45	—	—	—	—	—	—
2022	33	MLB	Pittsburgh Pirates	—	69	60	14	2	0	2	9	25	0	0	0	233	333	367	700	133	364	36	13	320	105	+0	+0	+3	+2	+1	0.7
2022	33	INTL	Indios de Mayaguez	—	30	28	4	1	0	0	2	6	0	0	0	143	200	179	379	36	182	20	7	180	8	—	—	—	—	—	—
2023	34	MLB	San Francisco Giants	—	17	15	2	0	0	0	2	6	0	0	0	133	235	133	369		222	35	12	189	15	-2	+0	+0	+0	+0	-0.1
2024	35	INTL	Leones de Ponce	—	66	54	9	2	0	0	8	20	1	0	0	167	286	204	489	37	257	30	12	231	42	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	1769	1520	314	57	4	55	192	527	10	2	1	207	300	358	658	151	273	30	11	291	83	-36	+0	+105	+41	+38	15.2
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2009	20	A MLE	Lake County Captains	—	63	53	11	1	0	0	5	25	4	0	1	208	323	226	549	19	346	40	8	248	54	—	—	—	—	—	—
2009	20	ROK MLE	AZL Indians	—	154	137	37	9	0	2	10	40	5	4	1	270	342	380	722	109	346	26	6	308	95	—	—	—	—	—	—
2010	21	A MLE	Lake County Captains	—	466	404	77	20	3	4	54	122	5	1	2	191	294	285	578	94	254	26	12	258	61	—	—	—	—	—	—
2011	22	A+ MLE	Kinston Indians	—	351	310	59	15	1	1	36	112	1	1	0	190	277	255	531	65	286	32	10	244	51	—	—	—	—	—	—
2012	23	AA MLE	Akron Aeros	—	349	296	61	15	2	1	36	83	6	0	1	206	305	280	585	74	260	24	10	258	61	—	—	—	—	—	—
2013	24	AAA MLE	Columbus Clippers	—	222	193	34	12	0	0	16	70	3	0	1	176	250	238	488	62	250	32	7	219	34	—	—	—	—	—	—
2013	24	AA MLE	Akron Aeros	—	128	103	24	6	0	2	22	31	3	1	1	233	383	350	732	117	304	24	17	325	106	—	—	—	—	—	—
2014	25	MLB MLE	Cleveland Indians	—	95	85	23	5	0	1	5	26	0	0	0	271	311	365	676	94	379	27	5	287	80	-2	+0	+6	+7	+2	1.3
2014	25	AAA MLE	Columbus Clippers	—	209	184	51	10	1	7	19	60	1	1	0	277	348	457	805	179	356	29	9	341	117	—	—	—	—	—	—
2015	26	MLB MLE	Cleveland Indians	—	226	185	42	9	1	7	32	64	2	0	0	227	347	400	747	173	304	28	14	329	108	+2	+0	+12	+5	+5	2.5
2016	27	MLB MLE	Cleveland Indians	—	184	153	28	6	1	3	23	44	0	0	0	183	290	294	584	111	229	24	12	261	63	-8	+0	+14	+3	+4	1.3
2017	28	MLB MLE	Cleveland Indians	—	248	217	45	12	0	8	26	71	0	0	1	207	292	373	665	166	266	29	10	293	84	-5	-0	+19	+4	+5	2.4
2018	29	MLB MLE	Cleveland Indians	—	210	179	30	9	1	2	21	70	1	1	0	168	259	263	521	95	257	33	10	234	44	-14	+0	+11	+5	+5	0.7
2019	30	MLB MLE	Cleveland Indians	—	449	390	93	9	1	24	44	127	4	0	0	238	322	451	773	213	285	28	10	335	113	+7	+0	+27	+8	+10	5.2
2020	31	MLB MLE	Cleveland Indians	—	110	97	16	2	0	1	11	38	2	0	0	165	264	216	480	52	259	35	10	232	43	-7	+0	+8	+2	+2	0.5
2021	32	MLB MLE	Cleveland Indians	—	161	141	21	3	0	7	17	56	1	1	0	149	245	319	564	170	179	35	11	254	58	-8	+0	+4	+4	+3	0.4
2021	32	AAA MLE	Columbus Clippers	—	31	26	3	0	0	0	4	8	0	0	0	115	233	115	349		155	26	13	179	7	—	—	—	—	—	—
2021	32	AA MLE	Akron RubberDucks	—	15	14	3	1	0	0	1	4	0	0	0	214	267	286	552	71	363	27	7	290	82	—	—	—	—	—	—
2022	33	MLB MLE	Pittsburgh Pirates	—	69	60	14	2	0	2	9	25	0	0	0	233	333	367	700	133	364	36	13	324	105	+0	+0	+3	+2	+1	0.7
2023	34	MLB MLE	San Francisco Giants	—	17	15	2	0	0	0	2	6	0	0	0	133	235	133	369		222	35	12	190	15	-2	+0	+0	+0	+0	-0.1
2009	20	ROK MLE	2 teams	—	217	190	46	9	0	2	15	66	9	4	2	242	327	321	648	79	355	30	7	291	83	—	—	—	—	—	—
2009	20	ROK RAW	2 teams	—	217	181	58	13	0	3	24	47	9	4	2	320	425	442	867	122	414	22	11	388	83	—	—	—	—	—	—
2010	21	A MLE	2 teams	—	552	479	91	24	3	5	63	145	5	1	2	190	291	284	575	94	261	26	11	258	61	—	—	—	—	—	—
2010	21	A RAW	2 teams	—	552	451	98	24	4	6	91	105	5	1	2	217	355	328	683	111	270	19	16	317	61	—	—	—	—	—	—
2011	22	A+ MLE	2 teams	—	439	386	74	19	1	2	45	140	2	1	0	192	279	262	541	70	293	32	10	244	51	—	—	—	—	—	—
2011	22	A+ RAW	2 teams	—	439	349	78	18	1	6	82	93	2	1	0	223	374	332	707	109	286	21	19	328	51	—	—	—	—	—	—
2012	23	AA MLE	2 teams	—	420	359	72	18	2	1	43	100	6	0	1	201	297	270	567	70	271	24	10	258	61	—	—	—	—	—	—
2012	23	AA RAW	2 teams	—	420	342	77	18	2	1	60	78	6	0	1	225	350	298	649	73	285	19	14	299	61	—	—	—	—	—	—
2013	24	AAA MLE	3 teams	—	382	322	63	19	0	2	41	110	8	2	2	196	302	273	575	78	285	29	11	258	61	—	—	—	—	—	—
2013	24	AAA RAW	3 teams	—	382	304	60	18	0	2	58	93	8	2	2	197	340	276	616	79	272	24	15	287	61	—	—	—	—	—	—
2014	25	AAA MLE	3 teams	—	410	363	99	20	1	11	33	116	2	1	0	273	337	424	761	152	370	28	8	324	105	—	—	—	—	—	—
2014	25	AAA RAW	3 teams	—	410	342	94	22	1	11	54	99	2	1	0	275	377	442	818	167	355	24	13	357	105	—	—	—	—	—	—
2015	26	MLB MLE	2 teams	—	283	234	52	11	1	9	40	80	2	1	0	222	341	393	734	171	293	28	14	329	108	+3	+0	+12	+5	+6	2.7
2015	26	MLB RAW	2 teams	—	283	235	58	10	1	8	39	74	2	1	0	247	359	400	759	153	323	26	14	336	108	+3	+0	+12	+5	+6	2.7
2016	27	MLB MLE	Cleveland Indians	—	184	153	28	6	1	3	23	44	0	0	0	183	290	294	584	111	229	24	12	261	63	-8	+0	+14	+3	+4	1.3
2016	27	MLB RAW	Cleveland Indians	—	184	153	28	6	1	3	23	44	0	0	0	183	290	294	584	111	229	24	12	260	63	-8	+0	+14	+3	+4	1.3
2017	28	MLB MLE	Cleveland Indians	—	248	217	45	12	0	8	26	71	0	0	1	207	292	373	665	166	266	29	10	293	84	-5	-0	+19	+4	+5	2.4
2017	28	MLB RAW	Cleveland Indians	—	248	217	45	12	0	8	26	71	0	0	1	207	292	373	665	166	266	29	10	294	84	-5	-0	+19	+4	+5	2.4
2018	29	MLB MLE	2 teams	—	290	250	42	12	2	3	29	97	1	2	1	168	257	268	525	100	257	33	10	234	44	-19	+0	+11	+5	+6	0.4
2018	29	MLB RAW	2 teams	—	290	248	53	13	1	3	31	93	1	2	1	214	304	310	614	97	325	32	11	274	44	-19	+0	+11	+5	+6	0.4
2019	30	MLB MLE	Cleveland Indians	—	449	390	93	9	1	24	44	127	4	0	0	238	322	451	773	213	284	28	10	335	113	+7	+0	+27	+8	+10	5.2
2019	30	MLB RAW	Cleveland Indians	—	449	389	93	9	1	24	45	127	4	0	0	239	324	452	777	213	285	28	10	336	113	+7	+0	+27	+8	+10	5.2
2020	31	MLB MLE	Cleveland Indians	—	110	97	16	2	0	1	11	38	2	0	0	165	264	216	480	52	259	35	10	232	43	-7	+0	+8	+2	+2	0.5
2020	31	MLB RAW	Cleveland Indians	—	110	97	16	2	0	1	11	38	2	0	0	165	264	216	480	52	259	35	10	232	43	-7	+0	+8	+2	+2	0.5
2021	32	MLB MLE	4 teams	—	230	202	31	5	0	8	24	76	1	1	0	153	247	297	544	144	193	33	10	246	52	-13	+0	+4	+4	+5	0.0
2021	32	MLB RAW	4 teams	—	230	200	33	6	0	7	26	71	1	1	0	165	264	300	564	135	211	31	11	258	52	-13	+0	+4	+4	+5	0.0
2022	33	MLB MLE	2 teams	—	99	86	20	3	0	3	13	36	0	0	0	233	333	372	705	140	362	36	13	324	105	+1	+0	+3	+2	+2	0.8
2022	33	MLB RAW	2 teams	—	99	88	18	3	0	2	11	31	0	0	0	205	293	307	600	102	291	31	11	277	105	+1	+0	+3	+2	+2	0.8
2023	34	MLB MLE	San Francisco Giants	—	17	15	2	0	0	0	2	6	0	0	0	133	235	133	369		222	35	12	190	15	-2	+0	+0	+0	+0	-0.1
2023	34	MLB RAW	San Francisco Giants	—	17	15	2	0	0	0	2	6	0	0	0	133	235	133	369		222	35	12	189	15	-2	+0	+0	+0	+0	-0.1
2024	35	INTL MLE	Leones de Ponce	—	66	54	9	2	0	0	8	20	1	0	0	167	286	204	489	37	257	30	12	—	—	—	—	—	—	—	—
2024	35	INTL RAW	Leones de Ponce	—	66	54	9	2	0	0	8	20	1	0	0	167	286	204	489	37	257	30	12	231	42	—	—	—	—	—	—
2009	20	ROK MLE	2 teams	—	217	191	46	9	0	2	15	66	9	4	2	241	327	319	646	79	346	30	7	291	83	—	—	—	—	—	—
2010	21	A MLE	2 teams	—	552	479	91	24	3	5	63	145	5	1	2	190	291	284	575	94	254	26	11	258	61	—	—	—	—	—	—
2011	22	A+ MLE	2 teams	—	439	389	74	19	1	2	45	140	2	1	0	190	279	260	539	69	286	32	10	244	51	—	—	—	—	—	—
2012	23	AA MLE	2 teams	—	420	368	72	18	2	1	43	100	6	0	1	196	297	264	560	68	260	24	10	258	61	—	—	—	—	—	—
2013	24	AAA MLE	3 teams	—	382	330	63	19	0	2	41	110	8	2	2	191	302	267	569	76	270	29	11	258	61	—	—	—	—	—	—
2014	25	AAA MLE	3 teams	—	410	372	99	20	1	11	33	116	2	1	0	266	337	414	751	148	363	28	8	324	105	—	—	—	—	—	—
2015	26	MLB MLE	2 teams	—	283	239	52	11	1	9	40	80	2	1	0	218	341	385	726	167	304	28	14	329	108	—	—	—	—	—	—
2016	27	MLB MLE	Cleveland Indians	—	184	159	28	6	1	3	23	44	0	0	0	176	290	283	573	107	229	24	12	261	63	—	—	—	—	—	—
2017	28	MLB MLE	Cleveland Indians	—	248	220	45	12	0	8	26	71	0	0	1	205	292	368	660	164	266	29	10	293	84	—	—	—	—	—	—
2018	29	MLB MLE	2 teams	—	290	258	42	12	2	3	29	97	1	2	1	163	257	260	517	97	257	33	10	234	44	—	—	—	—	—	—
2019	30	MLB MLE	Cleveland Indians	—	449	398	93	9	1	24	44	127	4	0	0	234	322	442	764	209	285	28	10	335	113	—	—	—	—	—	—
2020	31	MLB MLE	Cleveland Indians	—	110	96	16	2	0	1	11	38	2	0	0	167	264	219	482	52	259	35	10	232	43	—	—	—	—	—	—
2021	32	MLB MLE	4 teams	—	230	203	31	5	0	8	24	76	1	1	0	153	247	296	542	143	189	33	10	246	52	—	—	—	—	—	—
2022	33	MLB MLE	2 teams	—	99	86	20	3	0	3	13	36	0	0	0	233	333	372	705	140	364	36	13	324	105	—	—	—	—	—	—
2023	34	MLB MLE	San Francisco Giants	—	17	15	2	0	0	0	2	6	0	0	0	133	235	133	369		222	35	12	190	15	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1769	1520	314	57	4	55	192	527	10	2	1	207	300	358	658	151	273	30	11	291	71	-36	+0	+105	+41	+38	15.2
/ 162G	—	A+C		—	650	559	115	21	1	20	71	194	4	1	0	206	300	354	654	148	272	30	11	291	71	-13	+0	+38	+15	+14	5.6
Career	—	MLE		—	4396	3797	783	171	12	82	460	1272	43	13	9	206	299	322	621	116	284	29	10	273	71	-36	+0	+105	+41	+38	15.2
/ 162G	—	MLE		—	650	561	116	25	2	12	68	188	6	2	1	207	299	323	621	116	285	29	10	273	71	-13	+0	+38	+15	+14	5.6

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 AAAColumbus Clippers · 31 PAwOBA .226 → .179 (−47)K% 22.6% → 27.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.58%	÷1.002	×1.200	—	—	27.04%
BB% (unintentional) /PA	19.35%	÷1.008	×0.690	—	×0.942	12.48%
HBP% /PA	0.00%	—	×0.940	—	×0.942	0.00%
Singles /BIP	17.65%	÷0.949	×0.930	—	×0.942	16.29%
Doubles /BIP	0.00%	÷0.949	×0.830	—	×0.942	0.00%
Triples /BIP	0.00%	÷0.900	×0.920	—	×0.942	0.00%
Home runs /BIP	0.00%	÷1.034	×0.700	—	×0.942	0.00%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 107, 1B 90, 2B 90, 3B 80, K 100, BB 102 — 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).

Result: wOBA .226 → .179; ISO .000 → .000; BABIP .167 → .155. 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 AAAkron RubberDucks · 15 PAwOBA .388 → .290 (−98)K% 20.0% → 25.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.00%	÷0.977	×1.220	—	—	24.96%
BB% (unintentional) /PA	6.67%	÷0.967	×0.690	—	×0.940	4.47%
HBP% /PA	0.00%	—	×0.850	—	×0.940	0.00%
Singles /BIP	27.27%	÷1.042	×0.940	—	×0.940	23.13%
Doubles /BIP	18.18%	÷1.129	×0.870	—	×0.940	13.17%
Triples /BIP	0.00%	÷1.116	×0.920	—	×0.940	0.00%
Home runs /BIP	0.00%	÷0.893	×0.780	—	×0.940	0.00%

Factors used: level-wide AA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 79, 1B 108, 2B 126, 3B 123, K 95, BB 93 — applied at half strength. Age: age 33 vs a level average of 24.8 → −6.0% on BB/HBP/hit rates (8.2 yr older than average).

Result: wOBA .388 → .290; ISO .143 → .100; BABIP .455 → .363. 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 AAAColumbus Clippers · 209 PAwOBA .388 → .341 (−47)K% 24.4% → 28.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.40%	÷1.016	×1.200	—	—	28.81%
BB% (unintentional) /PA	13.40%	÷1.015	×0.690	—	×1.018	9.27%
HBP% /PA	0.48%	—	×0.940	—	×1.018	0.46%
Singles /BIP	26.83%	÷1.034	×0.930	×1.043	×1.018	25.63%
Doubles /BIP	8.94%	÷1.047	×0.830	×1.043	×1.018	7.53%
Triples /BIP	0.81%	÷1.007	×0.970	×1.043	×1.018	0.83%
Home runs /BIP	6.50%	÷1.028	×0.840	—	×1.018	5.41%

Factors used: league row IL. Park (home-season share, regressed): HR 106, 1B 107, 2B 109, 3B 102, K 103, BB 103 — 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 ×1.043.

Result: wOBA .388 → .341; ISO .213 → .188; BABIP .388 → .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).

2013 AAAColumbus Clippers · 222 PAwOBA .233 → .219 (−14)K% 26.6% → 31.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	26.58%	÷1.013	×1.200	—	—	31.47%
BB% (unintentional) /PA	9.91%	÷0.986	×0.690	—	×1.033	7.17%
HBP% /PA	1.35%	—	×0.940	—	×1.033	1.31%
Singles /BIP	16.41%	÷0.980	×0.930	×1.043	×1.033	16.77%
Doubles /BIP	9.38%	÷0.933	×0.830	×1.043	×1.033	8.98%
Triples /BIP	0.00%	÷0.900	×0.970	×1.043	×1.033	0.00%
Home runs /BIP	0.00%	÷1.111	×0.840	—	×1.033	0.00%

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 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 ×1.043.

Result: wOBA .233 → .219; ISO .064 → .064; BABIP .250 → .250. 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 AAAkron Aeros · 128 PAwOBA .382 → .325 (−57)K% 19.5% → 24.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.53%	÷0.984	×1.220	—	—	24.22%
BB% (unintentional) /PA	25.00%	÷1.029	×0.700	—	×0.998	16.97%
HBP% /PA	2.34%	—	×0.850	—	×0.998	1.99%
Singles /BIP	22.06%	÷1.037	×0.970	×1.050	×0.998	21.61%
Doubles /BIP	8.82%	÷1.001	×0.860	×1.050	×0.998	7.95%
Triples /BIP	0.00%	÷1.049	×0.950	×1.050	×0.998	0.00%
Home runs /BIP	2.94%	÷0.879	×0.780	—	×0.998	2.60%

Factors used: league row EL. Park (home-season share, regressed): HR 76, 1B 107, 2B 100, 3B 110, K 97, BB 106 — applied at half strength. Age: age 25 vs a level average of 24.8 → −0.2% on BB/HBP/hit rates (0.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .382 → .325; ISO .129 → .123; BABIP .318 → .304. 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 AAAkron Aeros · 349 PAwOBA .288 → .258 (−30)K% 19.2% → 23.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.20%	÷0.979	×1.220	—	—	23.92%
BB% (unintentional) /PA	14.04%	÷0.966	×0.700	—	×1.012	10.29%
HBP% /PA	1.72%	—	×0.850	—	×1.012	1.48%
Singles /BIP	18.98%	÷1.027	×0.970	×1.050	×1.012	19.04%
Doubles /BIP	7.41%	÷1.035	×0.860	×1.050	×1.012	6.54%
Triples /BIP	0.93%	÷1.142	×0.950	×1.050	×1.012	0.82%
Home runs /BIP	0.46%	÷0.903	×0.780	—	×1.012	0.40%

Factors used: league row EL. Park (home-season share, regressed): HR 81, 1B 105, 2B 107, 3B 128, K 96, BB 93 — 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 ×1.050.

Result: wOBA .288 → .258; ISO .081 → .074; BABIP .269 → .260. 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 A+Kinston Indians · 351 PAwOBA .308 → .244 (−64)K% 22.5% → 31.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.51%	÷1.001	×1.420	—	—	31.94%
BB% (unintentional) /PA	17.09%	÷1.058	×0.630	—	×0.998	10.16%
HBP% /PA	0.28%	—	×0.860	—	×0.998	0.24%
Singles /BIP	21.95%	÷1.053	×0.940	×1.050	×0.998	20.54%
Doubles /BIP	7.80%	÷0.905	×0.830	×1.050	×0.998	7.50%
Triples /BIP	0.49%	÷0.900	×0.800	×1.050	×0.998	0.45%
Home runs /BIP	0.98%	÷1.269	×0.900	—	×0.998	0.69%

Factors used: league row CAR. Park (home-season share, regressed): HR 154, 1B 111, 2B 81, 3B 80, K 100, BB 112 — applied at half strength. Age: age 23 vs a level average of 22.8 → −0.2% on BB/HBP/hit rates (0.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .308 → .244; ISO .085 → .075; BABIP .304 → .286. 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 ALake County Captains · 466 PAwOBA .318 → .258 (−60)K% 18.9% → 26.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.88%	÷0.981	×1.360	—	—	26.18%
BB% (unintentional) /PA	17.17%	÷1.032	×0.690	—	—	11.48%
HBP% /PA	1.07%	—	×0.780	—	—	0.84%
Singles /BIP	17.59%	÷0.974	×0.920	×1.039	—	17.27%
Doubles /BIP	7.59%	÷0.943	×0.830	×1.039	—	6.94%
Triples /BIP	1.03%	÷1.075	×0.910	×1.039	—	0.91%
Home runs /BIP	2.07%	÷1.197	×0.800	—	—	1.38%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 139, 1B 95, 2B 89, 3B 115, K 96, BB 106 — applied at half strength. Age: age 22 vs a level average of 22.0 → +0.0% on BB/HBP/hit rates (0.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.039.

Result: wOBA .318 → .258; ISO .122 → .098; BABIP .267 → .254. 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 — .