Ramiro Pena

Pos3B

B/TS/R

Born1985-07-18

Age (2027)42

No MLB projection yet. Career stats below are historical.

Overview

INTL

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR
2024	39	INTLVenados de Ma…	272	.271/.332/.338	2	5	86	—
2025	40	INTLVenados de Ma…	289	.273/.364/.363	4	2	105	—
2026	41	INTLTomateros de …	46	.119/.178/.143	0	0	-11	—

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)
2005	20	AA	Trenton Thunder	—	255	236	59	5	2	0	10	48	0	4	1	250	280	288	569	38	312	19	4	250	50	—	—	—	—	—	—
2005	20	A+	Tampa Yankees	—	86	73	18	4	1	1	9	12	0	1	0	247	329	370	699	123	274	14	10	302	81	—	—	—	—	—	—
2006	21	AA	Trenton Thunder	—	98	86	17	2	0	0	5	19	1	0	1	198	250	221	471	23	250	19	5	208	26	—	—	—	—	—	—
2006	21	A+	Tampa Yankees	—	246	218	61	4	2	0	16	26	4	8	4	280	340	317	657	37	311	11	7	294	68	—	—	—	—	—	—
2007	22	AA	Trenton Thunder	—	233	202	51	7	1	0	22	33	2	7	3	252	332	297	629	45	302	14	9	285	68	—	—	—	—	—	—
2008	23	AA	Trenton Thunder	—	506	443	118	20	7	2	41	86	4	8	6	266	334	357	691	90	321	17	8	303	78	—	—	—	—	—	—
2009	24	MLB	New York Yankees	—	121	115	33	6	1	1	5	20	0	4	1	287	317	383	699	96	340	17	4	310	96	-1	+0	+1	+3	+3	0.7
2009	24	AAA	Scranton/Wilkes-Barre Yankees	—	180	156	36	9	0	2	18	28	0	5	1	231	310	327	637	96	270	16	10	283	54	—	—	—	—	—	—
2010	25	MLB	New York Yankees	—	167	154	35	1	1	0	6	27	1	7	1	227	261	247	508	19	271	16	4	226	39	-12	+1	+4	+1	+4	-0.2
2010	25	INTL	Tomateros de Culiacan	—	133	120	28	6	0	1	11	24	0	0	1	233	298	308	606	75	281	18	8	274	72	—	—	—	—	—	—
2011	26	MLB	New York Yankees	—	46	40	4	0	0	1	2	11	1	0	0	100	163	175	338	75	103	24	4	151	-14	-6	+0	-4	+2	+1	-0.8
2011	26	AAA	Scranton/Wilkes-Barre Yankees	—	231	209	57	12	1	4	20	35	1	3	2	273	339	397	736	124	312	15	9	330	75	—	—	—	—	—	—
2011	26	INTL	Tomateros de Culiacan	—	147	130	32	4	0	4	14	15	0	1	1	246	319	369	689	123	250	10	10	306	93	—	—	—	—	—	—
2012	27	AAA	Scranton/Wilkes-Barre Yankees	—	404	360	93	13	3	2	34	74	3	1	3	258	327	328	655	69	317	18	8	296	59	—	—	—	—	—	—
2012	27	INTL	Tomateros de Culiacan	—	253	212	63	12	1	6	36	38	2	3	4	297	404	448	852	151	339	15	14	379	143	—	—	—	—	—	—
2013	28	MLB	Atlanta Braves	—	107	97	27	5	1	3	8	18	0	0	2	278	333	443	777	165	312	17	7	338	116	+2	-1	+2	+0	+2	0.7
2014	29	MLB	Atlanta Braves	—	165	147	36	6	0	3	13	38	0	1	0	245	306	347	653	102	308	23	8	288	73	-5	+0	+1	+1	+4	0.0
2014	29	INTL	Tomateros de Culiacan	—	143	121	36	5	1	3	16	14	3	7	2	298	393	430	823	132	314	10	11	364	133	—	—	—	—	—	—
2015	30	AAA	El Paso Chihuahuas	—	447	399	123	24	2	4	30	44	1	1	4	308	358	409	767	100	332	10	7	332	71	—	—	—	—	—	—
2015	30	INTL	Tomateros de Culiacan	—	189	159	48	10	2	6	23	21	2	0	2	302	397	503	900	201	318	11	12	387	148	—	—	—	—	—	—
2016	31	MLB	San Francisco Giants	—	91	87	26	6	1	1	2	16	2	0	0	299	330	425	755	126	357	18	2	336	111	+1	+0	-2	+2	+2	0.3
2016	31	AAA	Sacramento River Cats	—	245	216	64	12	1	5	21	35	2	5	6	296	364	431	795	134	331	14	9	348	72	—	—	—	—	—	—
2016	31	INTL	Tomateros de Culiacan	—	119	107	28	2	0	4	11	15	0	0	0	262	331	393	723	131	273	13	9	323	105	—	—	—	—	—	—
2017	32	INTL	Tomateros de Culiacan	—	38	35	7	1	0	0	1	5	1	0	1	200	243	229	472	29	226	13	3	214	31	—	—	—	—	—	—
2018	33	INTL	Tomateros de Culiacan	—	151	143	38	9	0	4	4	10	1	3	1	266	291	413	703	147	262	7	3	305	92	—	—	—	—	—	—
2019	34	AAA	Sultanes de Monterrey	—	420	378	132	33	0	13	23	40	3	6	0	349	391	540	931	190	358	10	5	394	86	—	—	—	—	—	—
2019	34	INTL	Mexico	—	248	221	54	4	1	5	23	23	0	8	3	244	316	339	655	95	253	9	9	294	85	—	—	—	—	—	—
2020	35	INTL	Mexico	—	228	203	60	8	0	6	19	21	4	3	8	296	367	424	791	128	305	9	8	353	125	—	—	—	—	—	—
2021	36	INTL	Tomateros de Culiacan	—	273	245	69	15	2	5	21	31	2	6	2	282	343	420	764	139	302	11	8	335	113	—	—	—	—	—	—
2022	37	INTL	Tomateros de Culiacan	—	208	180	53	11	1	5	21	20	2	3	2	294	374	450	824	156	308	10	10	360	130	—	—	—	—	—	—
2023	38	INTL	Mexico	—	297	269	67	11	4	4	20	33	0	2	2	249	301	364	665	115	270	11	7	291	83	—	—	—	—	—	—
2024	39	INTL	Venados de Mazatlan	—	272	240	65	10	0	2	17	22	5	5	2	271	332	338	670	67	288	8	6	296	86	—	—	—	—	—	—
2025	40	INTL	Venados de Mazatlan	—	289	245	67	6	2	4	33	27	2	2	1	273	364	363	728	90	290	9	11	324	105	—	—	—	—	—	—
2026	41	INTL	Tomateros de Culiacan	—	46	42	5	1	0	0	3	11	0	0	0	119	178	143	321	24	156	24	7	152	-11	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	697	640	161	24	4	9	36	130	4	12	4	252	296	344	639	92	300	19	5	282	77	-19	+1	+3	+9	+15	0.9
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2005	20	AA MLE	Trenton Thunder	—	255	239	61	5	2	0	7	59	0	4	1	255	276	293	569	38	319	23	3	242	50	—	—	—	—	—	—
2005	20	A+ MLE	Tampa Yankees	—	86	75	18	4	1	1	7	17	0	1	0	240	305	360	665	120	277	20	8	288	81	—	—	—	—	—	—
2006	21	AA MLE	Trenton Thunder	—	98	87	18	2	0	0	4	23	1	0	1	207	250	230	480	23	258	23	4	207	26	—	—	—	—	—	—
2006	21	A+ MLE	Tampa Yankees	—	246	222	58	4	2	0	12	37	4	8	4	261	311	297	608	36	294	15	5	268	68	—	—	—	—	—	—
2007	22	AA MLE	Trenton Thunder	—	233	209	54	7	1	0	15	40	2	7	3	258	314	301	616	43	305	17	6	268	68	—	—	—	—	—	—
2008	23	AA MLE	Trenton Thunder	—	506	455	119	18	7	2	29	105	4	8	6	262	311	345	657	84	316	21	6	283	78	—	—	—	—	—	—
2009	24	MLB MLE	New York Yankees	—	121	115	33	6	1	1	5	20	0	4	1	287	317	383	699	96	340	17	4	310	96	-1	+0	+1	+3	+3	0.7
2009	24	AAA MLE	Scranton/Wilkes-Barre Yankees	—	180	161	35	8	0	2	13	34	0	5	1	217	276	304	580	87	251	19	7	248	54	—	—	—	—	—	—
2010	25	MLB MLE	New York Yankees	—	167	154	35	1	1	0	6	27	1	7	1	227	261	247	508	19	271	16	4	226	39	-12	+1	+4	+1	+4	-0.2
2011	26	MLB MLE	New York Yankees	—	46	40	4	0	0	1	2	11	1	0	0	100	163	175	338	75	103	24	4	148	-14	-6	+0	-4	+2	+1	-0.8
2011	26	AAA MLE	Scranton/Wilkes-Barre Yankees	—	231	216	52	10	1	4	13	43	1	3	2	241	287	352	639	111	284	19	6	279	75	—	—	—	—	—	—
2012	27	AAA MLE	Scranton/Wilkes-Barre Yankees	—	404	371	87	10	3	2	23	90	3	1	3	235	285	294	578	59	294	22	6	256	59	—	—	—	—	—	—
2013	28	MLB MLE	Atlanta Braves	—	107	97	27	5	1	3	8	18	0	0	2	278	333	443	777	165	312	17	7	340	116	+2	-1	+2	+0	+2	0.7
2014	29	MLB MLE	Atlanta Braves	—	165	150	36	6	0	3	10	38	0	1	0	240	287	340	627	100	308	23	6	276	73	-5	+0	+1	+1	+4	0.0
2015	30	AAA MLE	El Paso Chihuahuas	—	447	409	105	20	1	3	20	58	1	1	4	257	293	333	626	76	275	13	4	273	71	—	—	—	—	—	—
2016	31	MLB MLE	San Francisco Giants	—	91	88	26	6	1	1	1	16	2	0	0	295	319	420	739	125	357	18	1	333	111	+1	+0	-2	+2	+2	0.3
2016	31	AAA MLE	Sacramento River Cats	—	245	225	55	9	1	4	12	44	2	5	6	244	289	347	635	102	275	18	5	274	72	—	—	—	—	—	—
2019	34	AAA MLE	Sultanes de Monterrey	—	420	388	105	22	0	9	13	52	3	6	0	271	300	397	696	126	275	12	3	296	86	—	—	—	—	—	—
2005	20	AA MLE	2 teams	—	341	314	79	9	3	1	14	76	0	5	1	252	284	309	592	57	325	22	4	254	58	—	—	—	—	—	—
2005	20	AA RAW	2 teams	—	341	309	77	9	3	1	19	60	0	5	1	249	293	307	600	58	303	18	6	263	58	—	—	—	—	—	—
2006	21	A+ MLE	2 teams	—	344	309	77	6	2	0	16	60	5	8	5	249	297	282	579	32	303	17	5	251	56	—	—	—	—	—	—
2006	21	A+ RAW	2 teams	—	344	304	78	6	2	0	21	45	5	8	5	257	315	289	605	33	295	13	6	269	56	—	—	—	—	—	—
2007	22	AA MLE	Trenton Thunder	—	233	209	54	7	1	0	15	40	2	7	3	258	314	301	616	43	320	17	6	268	68	—	—	—	—	—	—
2007	22	AA RAW	Trenton Thunder	—	233	202	51	7	1	0	22	33	2	7	3	252	332	297	629	45	302	14	9	285	68	—	—	—	—	—	—
2008	23	AA MLE	Trenton Thunder	—	506	455	119	18	7	2	29	105	4	8	6	262	311	345	657	84	331	21	6	283	78	—	—	—	—	—	—
2008	23	AA RAW	Trenton Thunder	—	506	443	118	20	7	2	41	86	4	8	6	266	334	357	691	90	321	17	8	303	78	—	—	—	—	—	—
2009	24	AAA MLE	2 teams	—	301	276	68	14	1	3	18	54	0	9	2	246	293	337	629	91	297	18	6	273	71	—	—	—	—	—	—
2009	24	AAA RAW	2 teams	—	301	271	69	15	1	3	23	48	0	9	2	255	313	351	663	96	300	16	8	294	71	—	—	—	—	—	—
2010	25	MLB MLE	2 teams	—	300	280	63	2	2	0	11	49	1	7	2	225	257	246	503	21	269	16	4	226	39	-22	+1	+4	+1	+6	-1.0
2010	25	MLB RAW	2 teams	—	300	274	63	7	1	1	17	51	1	7	2	230	277	274	551	44	276	17	6	247	39	-22	+1	+4	+1	+6	-1.0
2011	26	AAA MLE	3 teams	—	424	392	86	16	1	7	23	82	2	4	3	219	266	319	585	99	259	19	5	257	60	—	—	—	—	—	—
2011	26	AAA RAW	3 teams	—	424	379	93	16	1	9	36	61	2	4	3	245	314	364	678	119	270	14	8	302	60	—	—	—	—	—	—
2012	27	AAA MLE	2 teams	—	657	604	141	17	5	3	38	146	5	4	7	233	284	293	577	60	301	22	6	256	59	—	—	—	—	—	—
2012	27	AAA RAW	2 teams	—	657	572	156	25	4	8	70	112	5	4	7	273	357	372	729	100	325	17	11	328	59	—	—	—	—	—	—
2013	28	MLB MLE	Atlanta Braves	—	107	97	27	5	1	3	8	18	0	0	2	278	333	443	777	165	312	17	7	340	116	+2	-1	+2	+0	+2	0.7
2013	28	MLB RAW	Atlanta Braves	—	107	97	27	5	1	3	8	18	0	0	2	278	333	443	777	165	312	17	7	338	116	+2	-1	+2	+0	+2	0.7
2014	29	MLB MLE	2 teams	—	308	278	67	11	0	6	19	71	3	8	2	241	297	345	642	104	300	23	6	276	73	-10	+1	+1	+1	+7	-0.1
2014	29	MLB RAW	2 teams	—	308	268	72	11	1	6	29	52	3	8	2	269	347	384	731	116	311	17	9	323	73	-10	+1	+1	+1	+7	-0.1
2015	30	AAA MLE	2 teams	—	636	583	151	28	2	5	28	83	3	1	6	259	296	340	636	81	291	13	4	273	71	—	—	—	—	—	—
2015	30	AAA RAW	2 teams	—	636	558	171	34	4	10	53	65	3	1	6	306	370	435	805	129	329	10	8	348	71	—	—	—	—	—	—
2016	31	AAA MLE	3 teams	—	455	426	110	21	3	6	18	81	4	5	6	258	295	364	658	106	305	18	4	290	82	—	—	—	—	—	—
2016	31	AAA RAW	3 teams	—	455	410	118	20	2	10	34	66	4	5	6	288	348	420	768	132	321	15	7	339	82	—	—	—	—	—	—
2017	32	INTL MLE	Tomateros de Culiacan	—	38	35	7	1	0	0	1	5	1	0	1	200	243	229	472	29	226	13	3	—	—	—	—	—	—	—	—
2017	32	INTL RAW	Tomateros de Culiacan	—	38	35	7	1	0	0	1	5	1	0	1	200	243	229	472	29	226	13	3	214	31	—	—	—	—	—	—
2018	33	INTL MLE	Tomateros de Culiacan	—	151	143	38	9	0	4	4	10	1	3	1	266	291	413	703	147	262	7	3	—	—	—	—	—	—	—	—
2018	33	INTL RAW	Tomateros de Culiacan	—	151	143	38	9	0	4	4	10	1	3	1	266	291	413	703	147	262	7	3	305	92	—	—	—	—	—	—
2019	34	AAA MLE	2 teams	—	668	624	167	35	0	14	21	83	3	14	3	268	295	391	686	123	286	12	3	296	86	—	—	—	—	—	—
2019	34	AAA RAW	2 teams	—	668	599	186	37	1	18	46	63	3	14	3	311	363	466	828	155	319	9	7	357	86	—	—	—	—	—	—
2020	35	INTL MLE	Mexico	—	228	203	60	8	0	6	19	21	4	3	8	296	367	424	791	128	305	9	8	—	—	—	—	—	—	—	—
2020	35	INTL RAW	Mexico	—	228	203	60	8	0	6	19	21	4	3	8	296	367	424	791	128	305	9	8	353	125	—	—	—	—	—	—
2021	36	INTL MLE	Tomateros de Culiacan	—	273	245	69	15	2	5	21	31	2	6	2	282	343	420	764	139	302	11	8	—	—	—	—	—	—	—	—
2021	36	INTL RAW	Tomateros de Culiacan	—	273	245	69	15	2	5	21	31	2	6	2	282	343	420	764	139	302	11	8	335	113	—	—	—	—	—	—
2022	37	INTL MLE	Tomateros de Culiacan	—	208	180	53	11	1	5	21	20	2	3	2	294	374	450	824	156	308	10	10	—	—	—	—	—	—	—	—
2022	37	INTL RAW	Tomateros de Culiacan	—	208	180	53	11	1	5	21	20	2	3	2	294	374	450	824	156	308	10	10	360	130	—	—	—	—	—	—
2023	38	INTL MLE	Mexico	—	297	269	67	11	4	4	20	33	0	2	2	249	301	364	665	115	270	11	7	—	—	—	—	—	—	—	—
2023	38	INTL RAW	Mexico	—	297	269	67	11	4	4	20	33	0	2	2	249	301	364	665	115	270	11	7	291	83	—	—	—	—	—	—
2024	39	INTL MLE	Venados de Mazatlan	—	272	240	65	10	0	2	17	22	5	5	2	271	332	338	670	67	288	8	6	—	—	—	—	—	—	—	—
2024	39	INTL RAW	Venados de Mazatlan	—	272	240	65	10	0	2	17	22	5	5	2	271	332	338	670	67	288	8	6	296	86	—	—	—	—	—	—
2025	40	INTL MLE	Venados de Mazatlan	—	289	245	67	6	2	4	33	27	2	2	1	273	364	363	728	90	290	9	11	—	—	—	—	—	—	—	—
2025	40	INTL RAW	Venados de Mazatlan	—	289	245	67	6	2	4	33	27	2	2	1	273	364	363	728	90	290	9	11	324	105	—	—	—	—	—	—
2026	41	INTL MLE	Tomateros de Culiacan	—	46	42	5	1	0	0	3	11	0	0	0	119	178	143	321	24	156	24	7	—	—	—	—	—	—	—	—
2026	41	INTL RAW	Tomateros de Culiacan	—	46	42	5	1	0	0	3	11	0	0	0	119	178	143	321	24	156	24	7	152	-11	—	—	—	—	—	—
2005	20	AA MLE	2 teams	—	341	324	79	9	3	1	14	76	0	5	1	244	284	299	583	56	308	22	4	254	58	—	—	—	—	—	—
2006	21	A+ MLE	2 teams	—	344	320	77	6	2	0	16	60	5	8	5	241	297	272	569	31	284	17	5	251	56	—	—	—	—	—	—
2007	22	AA MLE	Trenton Thunder	—	233	214	54	7	1	0	15	40	2	7	3	252	314	294	609	42	305	17	6	268	68	—	—	—	—	—	—
2008	23	AA MLE	Trenton Thunder	—	506	468	119	18	7	2	29	105	4	8	6	254	311	335	647	81	316	21	6	283	78	—	—	—	—	—	—
2009	24	AAA MLE	2 teams	—	301	280	68	14	1	3	18	54	0	9	2	243	293	332	625	89	287	18	6	273	71	—	—	—	—	—	—
2010	25	MLB MLE	2 teams	—	300	285	63	2	2	0	11	49	1	7	2	221	257	242	499	21	271	16	4	226	39	—	—	—	—	—	—
2011	26	AAA MLE	3 teams	—	424	396	86	16	1	7	23	82	2	4	3	217	266	316	582	98	254	19	5	257	60	—	—	—	—	—	—
2012	27	AAA MLE	2 teams	—	657	609	141	17	5	3	38	146	5	4	7	232	284	291	575	59	294	22	6	256	59	—	—	—	—	—	—
2013	28	MLB MLE	Atlanta Braves	—	107	98	27	5	1	3	8	18	0	0	2	276	333	439	772	163	312	17	7	340	116	—	—	—	—	—	—
2014	29	MLB MLE	2 teams	—	308	283	67	11	0	6	19	71	3	8	2	237	297	339	636	102	308	23	6	276	73	—	—	—	—	—	—
2015	30	AAA MLE	2 teams	—	636	600	151	28	2	5	28	83	3	1	6	252	296	330	626	78	275	13	4	273	71	—	—	—	—	—	—
2016	31	AAA MLE	3 teams	—	455	430	110	21	3	6	18	81	4	5	6	256	295	360	655	105	297	18	4	290	82	—	—	—	—	—	—
2019	34	AAA MLE	2 teams	—	668	639	167	35	0	14	21	83	3	14	3	261	295	382	677	121	275	12	3	296	86	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	697	640	161	24	4	9	36	130	4	12	4	252	296	344	639	92	300	19	5	282	23	-19	+1	+3	+9	+15	0.9
/ 162G	—	A+C		—	650	597	150	22	4	8	34	121	4	11	4	251	297	342	638	90	300	19	5	282	23	-18	+1	+3	+8	+14	0.8
Career	—	MLE		—	7082	6449	1640	261	37	80	397	1128	49	104	67	254	303	343	646	89	294	16	6	202	23	-19	+1	+3	+9	+15	0.9
/ 162G	—	MLE		—	650	592	150	24	3	7	36	104	4	10	6	253	300	340	640	86	294	16	6	202	23	-18	+1	+3	+8	+14	0.8

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 AAASultanes de Monterrey · 420 PAwOBA .388 → .296 (−92)K% 9.5% → 12.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	9.52%	÷0.922	×1.200	—	—	12.40%
BB% (unintentional) /PA	5.00%	÷1.058	×0.690	—	×0.940	3.07%
HBP% /PA	0.71%	—	×0.940	—	×0.940	0.63%
Singles /BIP	25.44%	÷1.002	×0.930	×0.950	×0.940	21.09%
Doubles /BIP	9.76%	÷1.149	×0.830	×0.950	×0.940	6.30%
Triples /BIP	0.00%	÷1.091	×0.920	×0.950	×0.940	0.00%
Home runs /BIP	3.85%	÷0.997	×0.700	—	×0.940	2.54%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 99, 1B 100, 2B 130, 3B 118, K 84, BB 112 — applied at half strength. Age: age 34 vs a level average of 27.2 → −6.0% on BB/HBP/hit rates (6.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .388 → .296; ISO .190 → .130; BABIP .358 → .275. 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 AAASacramento River Cats · 245 PAwOBA .338 → .274 (−65)K% 14.3% → 17.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.29%	÷1.034	×1.290	—	—	17.82%
BB% (unintentional) /PA	7.76%	÷1.052	×0.710	—	×0.962	5.03%
HBP% /PA	0.82%	—	×0.980	—	×0.962	0.77%
Singles /BIP	25.41%	÷0.960	×0.900	×0.950	×0.962	21.78%
Doubles /BIP	6.63%	÷0.973	×0.810	×0.950	×0.962	5.05%
Triples /BIP	0.55%	÷0.900	×0.810	×0.950	×0.962	0.45%
Home runs /BIP	2.76%	÷1.082	×0.780	—	×0.962	1.91%

Factors used: league row PCL. Park (home-season share, regressed): HR 116, 1B 92, 2B 95, 3B 80, K 107, BB 110 — 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 .338 → .274; ISO .134 → .101; BABIP .331 → .275. 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 AAAEl Paso Chihuahuas · 447 PAwOBA .326 → .273 (−53)K% 9.8% → 13.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	9.84%	÷0.980	×1.290	—	—	12.96%
BB% (unintentional) /PA	6.26%	÷0.972	×0.710	—	×0.972	4.45%
HBP% /PA	0.22%	—	×0.980	—	×0.972	0.21%
Singles /BIP	26.20%	÷1.017	×0.900	×0.979	×0.972	22.05%
Doubles /BIP	6.76%	÷0.970	×0.810	×0.979	×0.972	5.37%
Triples /BIP	0.56%	÷1.150	×0.810	×0.979	×0.972	0.38%
Home runs /BIP	1.13%	÷0.919	×0.780	—	×0.972	0.93%

Factors used: league row PCL. Park (home-season share, regressed): HR 84, 1B 103, 2B 94, 3B 130, K 96, BB 94 — 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 ×0.979.

Result: wOBA .326 → .273; ISO .100 → .082; BABIP .332 → .275. 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 AAAScranton/Wilkes-Barre Yankees · 404 PAwOBA .291 → .256 (−35)K% 18.3% → 22.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.32%	÷0.988	×1.200	—	—	22.24%
BB% (unintentional) /PA	8.42%	÷1.012	×0.690	—	×1.003	5.75%
HBP% /PA	0.74%	—	×0.940	—	×1.003	0.70%
Singles /BIP	26.22%	÷1.006	×0.930	×1.021	×1.003	24.82%
Doubles /BIP	4.55%	÷1.076	×0.830	×1.021	×1.003	3.59%
Triples /BIP	1.05%	÷0.926	×0.970	×1.021	×1.003	1.12%
Home runs /BIP	0.70%	÷0.945	×0.840	—	×1.003	0.62%

Factors used: league row IL. Park (home-season share, regressed): HR 89, 1B 101, 2B 115, 3B 85, K 98, BB 102 — 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 ×1.021.

Result: wOBA .291 → .256; ISO .069 → .062; BABIP .317 → .294. 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 AAAScranton/Wilkes-Barre Yankees · 231 PAwOBA .320 → .279 (−41)K% 15.2% → 18.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.15%	÷0.990	×1.200	—	—	18.36%
BB% (unintentional) /PA	8.23%	÷1.005	×0.690	—	×1.018	5.75%
HBP% /PA	0.43%	—	×0.940	—	×1.018	0.41%
Singles /BIP	22.99%	÷0.976	×0.930	×0.958	×1.018	21.36%
Doubles /BIP	6.90%	÷0.931	×0.830	×0.958	×1.018	6.00%
Triples /BIP	0.57%	÷1.113	×0.970	×0.958	×1.018	0.49%
Home runs /BIP	2.30%	÷0.965	×0.840	—	×1.018	2.04%

Factors used: league row IL. Park (home-season share, regressed): HR 93, 1B 95, 2B 86, 3B 123, K 98, BB 101 — 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 ×0.958.

Result: wOBA .320 → .279; ISO .124 → .109; BABIP .312 → .284. 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 AAAScranton/Wilkes-Barre Yankees · 180 PAwOBA .276 → .248 (−27)K% 15.6% → 18.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.56%	÷1.000	×1.200	—	—	18.67%
BB% (unintentional) /PA	10.00%	÷1.000	×0.690	—	×1.048	7.23%
HBP% /PA	0.00%	—	×0.940	—	×1.048	0.00%
Singles /BIP	19.53%	÷1.000	×0.930	×0.986	×1.048	18.76%
Doubles /BIP	7.03%	÷1.000	×0.830	×0.986	×1.048	6.03%
Triples /BIP	0.00%	÷1.000	×0.970	×0.986	×1.048	0.00%
Home runs /BIP	1.56%	÷1.000	×0.840	—	×1.048	1.38%

Factors used: league row IL. Park (home-season share, regressed): no park row on file (treated as neutral) — 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 ×0.986.

Result: wOBA .276 → .248; ISO .096 → .087; BABIP .270 → .251. 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).

2008 AATrenton Thunder · 506 PAwOBA .298 → .283 (−15)K% 17.0% → 20.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.00%	÷1.000	×1.220	—	—	20.74%
BB% (unintentional) /PA	7.91%	÷1.000	×0.700	—	×1.027	5.68%
HBP% /PA	0.79%	—	×0.850	—	×1.027	0.69%
Singles /BIP	24.93%	÷1.000	×0.970	×1.009	×1.027	25.07%
Doubles /BIP	5.60%	÷1.000	×0.860	×1.009	×1.027	4.99%
Triples /BIP	1.96%	÷1.000	×0.950	×1.009	×1.027	1.93%
Home runs /BIP	0.56%	÷1.000	×0.780	—	×1.027	0.45%

Factors used: league row EL. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 23 vs a level average of 24.8 → +2.7% on BB/HBP/hit rates (1.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.009.

Result: wOBA .298 → .283; ISO .090 → .085; BABIP .321 → .316. 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).

2007 AATrenton Thunder · 233 PAwOBA .276 → .268 (−8)K% 14.2% → 17.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.16%	÷1.000	×1.220	—	—	17.28%
BB% (unintentional) /PA	9.01%	÷1.000	×0.700	—	×1.042	6.57%
HBP% /PA	0.86%	—	×0.850	—	×1.042	0.76%
Singles /BIP	25.44%	÷1.000	×0.970	×1.018	×1.042	26.17%
Doubles /BIP	4.14%	÷1.000	×0.860	×1.018	×1.042	3.78%
Triples /BIP	0.59%	÷1.000	×0.950	×1.018	×1.042	0.60%
Home runs /BIP	0.00%	÷1.000	×0.780	—	×1.042	0.00%

Factors used: league row EL. Park (home-season share, regressed): no park row on file (treated as neutral) — 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 ×1.018.

Result: wOBA .276 → .268; ISO .045 → .043; BABIP .302 → .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).

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