Francisco Peña

PosC

B/TR/R

Born1989-10-12

Age (2027)37

No MLB projection yet. Career stats below are historical.

Overview

INTL

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR
2023	33	INTLAguilas Cibae…	72	.161/.257/.210	1	1	35	—
2024	34	INTLDominican Rep…	83	.243/.309/.351	2	3	84	—
2025	35	INTLAlgodoneros d…	73	.194/.260/.284	1	0	56	—

Contract

No contract data on file.

Skills · percentileStatcast 2016-2018

Barrel%23

xwOBA10

Avg EV10

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)
2007	17	A	Savannah Sand Gnats	—	399	367	77	12	0	5	24	76	4	1	1	210	266	283	549	74	248	19	6	250	33	—	—	—	—	—	—
2008	18	A	Savannah Sand Gnats	—	426	397	105	22	3	6	25	95	1	0	0	264	310	380	690	116	331	22	6	307	59	—	—	—	—	—	—
2009	19	A+	St. Lucie Mets	—	415	392	88	15	1	8	15	78	4	0	1	224	260	329	589	105	259	19	4	262	37	—	—	—	—	—	—
2010	20	A+	St. Lucie Mets	—	40	37	10	2	0	0	2	12	0	0	0	270	308	324	632	54	385	30	5	280	38	—	—	—	—	—	—
2010	20	ROK	GCL Mets	—	39	32	10	1	0	0	6	6	1	0	0	312	436	344	780	31	385	15	15	368	65	—	—	—	—	—	—
2010	20	INTL	Aguilas Cibaenas	—	96	88	16	2	0	2	7	24	0	2	1	182	242	273	515	91	222	25	7	234	45	—	—	—	—	—	—
2011	21	A+	St. Lucie Mets	—	342	319	71	13	0	5	20	50	3	3	1	223	275	310	585	88	250	15	6	267	29	—	—	—	—	—	—
2011	21	INTL	Dominican Republic	—	82	74	21	3	0	1	5	11	0	0	0	284	329	365	694	81	323	13	6	303	91	—	—	—	—	—	—
2012	22	AA	Binghamton Mets	—	145	126	25	7	0	3	16	25	2	1	0	198	299	325	624	127	224	17	11	286	52	—	—	—	—	—	—
2012	22	A+	St. Lucie Mets	—	155	142	36	10	1	4	11	29	0	0	0	254	307	423	730	169	291	19	7	319	53	—	—	—	—	—	—
2012	22	INTL	Dominican Republic	—	159	146	38	10	0	5	7	25	2	4	0	260	303	432	735	171	280	16	4	317	101	—	—	—	—	—	—
2013	23	AAA	Las Vegas 51s	—	236	218	56	15	1	9	10	40	3	1	0	257	299	459	757	202	272	17	4	326	61	—	—	—	—	—	—
2013	23	AA	Binghamton Mets	—	79	69	17	6	0	0	7	4	1	0	1	246	325	333	658	87	258	5	9	295	76	—	—	—	—	—	—
2013	23	INTL	Aguilas Cibaenas	—	105	99	24	7	0	3	4	15	0	2	0	242	272	404	676	162	259	14	4	292	84	—	—	—	—	—	—
2014	24	AAA	Omaha Storm Chasers	—	370	342	82	13	0	27	16	65	5	0	3	240	284	515	798	275	216	18	4	340	66	—	—	—	—	—	—
2014	24	INTL	Dominican Republic	—	106	99	16	4	0	4	7	32	0	3	1	162	217	323	540	162	190	30	7	241	49	—	—	—	—	—	—
2015	25	AAA	Omaha Storm Chasers	—	374	342	86	20	1	13	23	56	4	4	1	251	306	430	736	178	265	15	6	322	58	—	—	—	—	—	—
2015	25	INTL	Aguilas Cibaenas	—	61	55	11	3	0	0	2	11	0	0	0	200	228	255	483	55	234	18	3	205	25	—	—	—	—	—	—
2016	26	MLB	Baltimore Orioles	—	43	40	8	0	0	1	2	14	0	0	0	200	238	275	513	75	280	33	5	228	36	-3	+0	+1	+6	+1	0.6
2016	26	AAA	Norfolk Tides	—	208	191	47	11	1	4	15	25	0	0	1	246	301	377	678	131	262	12	7	301	57	—	—	—	—	—	—
2016	26	INTL	Aguilas Cibaenas	—	106	101	21	2	0	1	3	13	1	0	1	208	238	257	496	50	227	12	3	224	38	—	—	—	—	—	—
2017	27	AAA	Norfolk Tides	—	188	180	50	13	0	6	8	31	0	1	0	278	309	450	759	172	308	16	4	334	76	—	—	—	—	—	—
2017	27	INTL	Aguilas Cibaenas	—	83	79	21	5	0	2	2	9	1	0	0	266	293	405	698	139	279	11	2	306	93	—	—	—	—	—	—
2018	28	MLB	St. Louis Cardinals	—	142	133	27	3	0	2	6	43	1	1	0	203	243	271	514	68	278	30	4	231	34	-11	+0	-4	+4	+3	-0.8
2018	28	INTL	Aguilas Cibaenas	—	88	79	19	4	0	2	6	23	2	0	0	241	310	367	677	127	315	26	7	304	92	—	—	—	—	—	—
2019	29	AAA	Sacramento River Cats	—	297	276	80	20	0	17	16	46	1	1	0	290	331	547	878	257	290	15	5	377	77	—	—	—	—	—	—
2019	29	INTL	Aguilas Cibaenas	—	107	97	22	1	0	2	6	16	2	1	0	227	286	299	585	72	250	15	6	264	65	—	—	—	—	—	—
2020	30	INTL	Dominican Republic	—	72	66	10	2	0	0	4	19	1	0	1	152	211	182	393	30	208	26	6	185	11	—	—	—	—	—	—
2021	31	AAA	Las Vegas Aviators	—	447	392	98	13	0	23	37	92	9	1	0	250	329	459	788	209	262	21	8	342	51	—	—	—	—	—	—
2021	31	INTL	Aguilas Cibaenas	—	108	100	19	1	0	2	3	18	1	0	1	190	221	260	481	70	205	17	3	211	29	—	—	—	—	—	—
2023	33	INTL	Aguilas Cibaenas	—	72	62	10	0	0	1	7	14	1	1	1	161	257	210	467	48	188	19	10	220	35	—	—	—	—	—	—
2024	34	INTL	Dominican Republic	—	83	74	18	2	0	2	7	10	0	3	0	243	309	351	660	108	258	12	8	293	84	—	—	—	—	—	—
2025	35	INTL	Algodoneros de Guasave	—	73	67	13	3	0	1	4	19	2	0	0	194	260	284	544	90	255	26	5	251	56	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	185	173	35	3	0	3	8	57	1	1	0	202	242	272	513	69	278	31	4	231	42	-13	+0	-2	+10	+4	-0.0
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2007	17	A MLE	Savannah Sand Gnats	—	399	374	72	10	0	4	17	102	4	1	1	193	235	251	487	59	245	26	4	217	33	—	—	—	—	—	—
2008	18	A MLE	Savannah Sand Gnats	—	426	406	94	18	3	5	16	127	1	0	0	232	262	328	590	96	316	30	4	256	59	—	—	—	—	—	—
2009	19	A+ MLE	St. Lucie Mets	—	415	395	78	14	1	7	12	111	4	0	1	197	229	291	520	94	247	27	3	223	37	—	—	—	—	—	—
2010	20	A+ MLE	St. Lucie Mets	—	40	37	8	2	0	0	2	17	0	0	0	216	256	270	527	54	358	42	5	225	38	—	—	—	—	—	—
2010	20	ROK MLE	GCL Mets	—	39	34	8	1	0	0	4	9	1	0	0	235	333	265	598	29	307	23	10	265	65	—	—	—	—	—	—
2011	21	A+ MLE	St. Lucie Mets	—	342	324	59	11	0	4	15	75	3	3	1	182	225	253	478	71	224	22	4	211	29	—	—	—	—	—	—
2012	22	AA MLE	Binghamton Mets	—	145	131	25	7	0	3	11	31	2	1	0	191	264	313	577	122	217	21	8	245	52	—	—	—	—	—	—
2012	22	A+ MLE	St. Lucie Mets	—	155	145	31	9	1	3	8	44	0	0	0	214	255	352	607	138	265	28	5	246	53	—	—	—	—	—	—
2013	23	AAA MLE	Las Vegas 51s	—	236	221	47	12	1	7	7	54	3	1	0	213	247	371	618	158	233	23	3	258	61	—	—	—	—	—	—
2013	23	AA MLE	Binghamton Mets	—	79	72	18	6	0	0	4	5	1	0	1	250	299	333	632	83	260	6	5	281	76	—	—	—	—	—	—
2014	24	AAA MLE	Omaha Storm Chasers	—	370	348	67	10	0	21	10	89	5	0	3	193	226	402	628	210	184	24	3	266	66	—	—	—	—	—	—
2015	25	AAA MLE	Omaha Storm Chasers	—	374	351	74	17	1	9	14	72	4	4	1	211	249	342	591	131	234	19	4	254	58	—	—	—	—	—	—
2016	26	MLB MLE	Baltimore Orioles	—	43	40	8	0	0	1	2	14	0	0	0	200	238	275	513	75	280	33	5	222	36	-3	+0	+1	+6	+1	0.6
2016	26	AAA MLE	Norfolk Tides	—	208	196	42	9	1	4	10	31	0	0	1	214	252	332	584	117	226	15	5	253	57	—	—	—	—	—	—
2017	27	AAA MLE	Norfolk Tides	—	188	182	44	10	0	6	6	37	0	1	0	242	266	396	662	154	274	20	3	280	76	—	—	—	—	—	—
2018	28	MLB MLE	St. Louis Cardinals	—	142	136	27	3	0	2	3	43	1	1	0	199	221	265	486	66	278	30	2	218	34	-11	+0	-4	+4	+3	-0.8
2019	29	AAA MLE	Sacramento River Cats	—	297	281	62	15	0	12	11	61	1	1	0	221	253	402	655	181	233	21	4	282	77	—	—	—	—	—	—
2021	31	AAA MLE	Las Vegas Aviators	—	447	408	73	10	0	17	21	111	9	1	0	179	235	328	564	150	187	25	5	244	51	—	—	—	—	—	—
2007	17	A MLE	Savannah Sand Gnats	—	399	374	72	10	0	4	17	102	4	1	1	193	235	251	487	59	250	26	4	217	33	—	—	—	—	—	—
2007	17	A RAW	Savannah Sand Gnats	—	399	367	77	12	0	5	24	76	4	1	1	210	266	283	549	74	248	19	6	250	33	—	—	—	—	—	—
2008	18	A MLE	Savannah Sand Gnats	—	426	406	94	18	3	5	16	127	1	0	0	232	262	328	590	96	321	30	4	256	59	—	—	—	—	—	—
2008	18	A RAW	Savannah Sand Gnats	—	426	397	105	22	3	6	25	95	1	0	0	264	310	380	690	116	331	22	6	307	59	—	—	—	—	—	—
2009	19	A+ MLE	St. Lucie Mets	—	415	395	78	14	1	7	12	111	4	0	1	197	229	291	520	94	254	27	3	223	37	—	—	—	—	—	—
2009	19	A+ RAW	St. Lucie Mets	—	415	392	88	15	1	8	15	78	4	0	1	224	260	329	589	105	259	19	4	262	37	—	—	—	—	—	—
2010	20	INTL MLE	3 teams	—	175	161	35	5	0	0	11	57	1	2	1	217	272	248	520	31	330	33	6	245	52	—	—	—	—	—	—
2010	20	INTL RAW	3 teams	—	175	157	36	5	0	2	15	42	1	2	1	229	301	299	600	70	296	24	9	274	52	—	—	—	—	—	—
2011	21	A+ MLE	2 teams	—	424	400	73	14	0	5	18	93	3	3	1	182	223	255	478	73	225	22	4	211	29	—	—	—	—	—	—
2011	21	A+ RAW	2 teams	—	424	393	92	16	0	6	25	61	3	3	1	234	285	321	606	87	264	14	6	274	29	—	—	—	—	—	—
2012	22	INTL MLE	3 teams	—	459	419	82	23	1	8	29	115	4	5	0	196	254	313	567	117	247	25	6	246	52	—	—	—	—	—	—
2012	22	INTL RAW	3 teams	—	459	414	99	27	1	12	34	79	4	5	0	239	303	396	699	157	267	17	7	308	52	—	—	—	—	—	—
2013	23	AAA MLE	3 teams	—	420	392	86	23	1	9	15	79	4	3	1	219	255	352	608	133	249	19	4	264	65	—	—	—	—	—	—
2013	23	AAA RAW	3 teams	—	420	386	97	28	1	12	21	59	4	3	1	251	297	422	719	171	266	14	5	311	65	—	—	—	—	—	—
2014	24	AAA MLE	2 teams	—	476	451	86	13	0	27	13	114	5	3	4	191	222	399	621	208	187	24	3	266	66	—	—	—	—	—	—
2014	24	AAA RAW	2 teams	—	476	441	98	17	0	31	23	97	5	3	4	222	269	472	740	249	211	20	5	318	66	—	—	—	—	—	—
2015	25	AAA MLE	2 teams	—	435	405	86	20	1	10	17	84	4	4	1	212	251	341	592	128	241	19	4	254	58	—	—	—	—	—	—
2015	25	AAA RAW	2 teams	—	435	397	97	23	1	13	25	67	4	4	1	244	296	406	701	161	261	15	6	305	58	—	—	—	—	—	—
2016	26	AAA MLE	3 teams	—	357	335	71	13	1	8	17	63	1	0	2	212	252	328	580	116	236	18	5	248	54	—	—	—	—	—	—
2016	26	AAA RAW	3 teams	—	357	332	76	13	1	6	20	52	1	0	2	229	275	328	603	99	253	15	6	269	54	—	—	—	—	—	—
2017	27	AAA MLE	2 teams	—	271	261	63	15	0	8	8	54	1	1	0	241	267	391	657	149	276	20	3	280	76	—	—	—	—	—	—
2017	27	AAA RAW	2 teams	—	271	259	71	18	0	8	10	40	1	1	0	274	304	436	740	162	299	15	4	325	76	—	—	—	—	—	—
2018	28	MLB MLE	2 teams	—	230	219	44	5	0	3	5	70	3	1	0	201	229	265	494	64	277	30	2	218	34	-18	+0	-4	+4	+5	-1.3
2018	28	MLB RAW	2 teams	—	230	212	46	7	0	4	12	66	3	1	0	217	269	307	575	90	292	29	5	259	34	-18	+0	-4	+4	+5	-1.3
2019	29	AAA MLE	2 teams	—	404	380	85	20	0	17	15	83	3	2	0	224	259	411	669	187	239	21	4	282	77	—	—	—	—	—	—
2019	29	AAA RAW	2 teams	—	404	373	102	21	0	19	22	62	3	2	0	273	319	483	802	209	279	15	5	347	77	—	—	—	—	—	—
2020	30	INTL MLE	Dominican Republic	—	72	66	10	2	0	0	4	19	1	0	1	152	211	182	393	30	208	26	6	—	—	—	—	—	—	—	—
2020	30	INTL RAW	Dominican Republic	—	72	66	10	2	0	0	4	19	1	0	1	152	211	182	393	30	208	26	6	185	11	—	—	—	—	—	—
2021	31	AAA MLE	2 teams	—	555	506	90	12	0	21	26	138	10	1	1	178	232	326	559	148	192	25	5	244	51	—	—	—	—	—	—
2021	31	AAA RAW	2 teams	—	555	492	117	14	0	25	40	110	10	1	1	238	308	419	727	181	249	20	7	317	51	—	—	—	—	—	—
2023	33	INTL MLE	Aguilas Cibaenas	—	72	62	10	0	0	1	7	14	1	1	1	161	257	210	467	48	188	19	10	—	—	—	—	—	—	—	—
2023	33	INTL RAW	Aguilas Cibaenas	—	72	62	10	0	0	1	7	14	1	1	1	161	257	210	467	48	188	19	10	220	35	—	—	—	—	—	—
2024	34	INTL MLE	Dominican Republic	—	83	74	18	2	0	2	7	10	0	3	0	243	309	351	660	108	258	12	8	—	—	—	—	—	—	—	—
2024	34	INTL RAW	Dominican Republic	—	83	74	18	2	0	2	7	10	0	3	0	243	309	351	660	108	258	12	8	293	84	—	—	—	—	—	—
2025	35	INTL MLE	Algodoneros de Guasave	—	73	67	13	3	0	1	4	19	2	0	0	194	260	284	544	90	255	26	5	—	—	—	—	—	—	—	—
2025	35	INTL RAW	Algodoneros de Guasave	—	73	67	13	3	0	1	4	19	2	0	0	194	260	284	544	90	255	26	5	251	56	—	—	—	—	—	—
2007	17	A MLE	Savannah Sand Gnats	—	399	375	72	10	0	4	17	102	4	1	1	192	235	251	486	59	245	26	4	217	33	—	—	—	—	—	—
2008	18	A MLE	Savannah Sand Gnats	—	426	406	94	18	3	5	16	127	1	0	0	232	262	328	590	96	316	30	4	256	59	—	—	—	—	—	—
2009	19	A+ MLE	St. Lucie Mets	—	415	396	78	14	1	7	12	111	4	0	1	197	229	290	519	93	247	27	3	223	37	—	—	—	—	—	—
2010	20	INTL MLE	3 teams	—	175	161	35	5	0	0	11	57	1	2	1	217	272	248	520	31	333	33	6	245	52	—	—	—	—	—	—
2011	21	A+ MLE	2 teams	—	424	400	73	14	0	5	18	93	3	3	1	182	223	255	478	73	224	22	4	211	29	—	—	—	—	—	—
2012	22	INTL MLE	3 teams	—	459	423	82	23	1	8	29	115	4	5	0	194	254	310	564	116	242	25	6	246	52	—	—	—	—	—	—
2013	23	AAA MLE	3 teams	—	420	398	86	23	1	9	15	79	4	3	1	216	255	347	602	131	240	19	4	264	65	—	—	—	—	—	—
2014	24	AAA MLE	2 teams	—	476	455	86	13	0	27	13	114	5	3	4	189	222	396	617	207	184	24	3	266	66	—	—	—	—	—	—
2015	25	AAA MLE	2 teams	—	435	411	86	20	1	10	17	84	4	4	1	209	251	336	587	127	234	19	4	254	58	—	—	—	—	—	—
2016	26	AAA MLE	3 teams	—	357	336	71	13	1	8	17	63	1	0	2	211	252	327	580	116	235	18	5	248	54	—	—	—	—	—	—
2017	27	AAA MLE	2 teams	—	271	260	63	15	0	8	8	54	1	1	0	242	267	392	659	150	274	20	3	280	76	—	—	—	—	—	—
2018	28	MLB MLE	2 teams	—	230	220	44	5	0	3	5	70	3	1	0	200	229	264	493	64	278	30	2	218	34	—	—	—	—	—	—
2019	29	AAA MLE	2 teams	—	404	383	85	20	0	17	15	83	3	2	0	222	259	407	666	185	233	21	4	282	77	—	—	—	—	—	—
2021	31	AAA MLE	2 teams	—	555	514	90	12	0	21	26	138	10	1	1	175	232	321	553	146	187	25	5	244	51	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	185	173	35	3	0	3	8	57	1	1	0	202	242	272	513	69	278	31	4	231	45	-13	+0	-2	+10	+4	-0.0
/ 162G	—	A+C		—	650	608	124	11	0	11	28	200	4	4	0	204	244	276	520	72	280	31	4	231	45	-45	+1	-7	+37	+14	-0.1
Career	—	MLE		—	5746	5373	1096	212	8	136	241	1352	52	30	15	204	245	322	567	118	244	24	4	234	45	-13	+0	-2	+10	+4	-0.0
/ 162G	—	MLE		—	650	608	124	24	1	15	27	153	6	3	2	204	245	321	566	117	244	24	4	234	45	-45	+1	-7	+37	+14	-0.1

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 AAALas Vegas Aviators · 447 PAwOBA .337 → .244 (−93)K% 20.6% → 24.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.58%	÷0.994	×1.200	—	—	24.84%
BB% (unintentional) /PA	7.61%	÷1.083	×0.690	—	×0.952	4.61%
HBP% /PA	2.01%	—	×0.940	—	×0.952	1.80%
Singles /BIP	20.67%	÷1.156	×0.930	×0.950	×0.952	15.04%
Doubles /BIP	4.33%	÷1.018	×0.830	×0.950	×0.952	3.20%
Triples /BIP	0.00%	÷0.956	×0.920	×0.950	×0.952	0.00%
Home runs /BIP	7.67%	÷0.941	×0.700	—	×0.952	5.43%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 88, 1B 131, 2B 104, 3B 91, K 99, BB 117 — 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 ×0.950.

Result: wOBA .337 → .244; ISO .209 → .153; BABIP .262 → .187. 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 AAASacramento River Cats · 297 PAwOBA .371 → .282 (−89)K% 15.5% → 20.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.49%	÷0.971	×1.290	—	—	20.57%
BB% (unintentional) /PA	5.39%	÷0.980	×0.710	—	×0.972	3.79%
HBP% /PA	0.34%	—	×0.980	—	×0.972	0.32%
Singles /BIP	18.70%	÷0.982	×0.900	×0.950	×0.972	15.82%
Doubles /BIP	8.70%	÷0.981	×0.810	×0.950	×0.972	6.63%
Triples /BIP	0.00%	÷1.008	×0.810	×0.950	×0.972	0.00%
Home runs /BIP	7.39%	÷1.027	×0.780	—	×0.972	5.46%

Factors used: league row PCL. Park (home-season share, regressed): HR 105, 1B 96, 2B 96, 3B 102, K 94, BB 96 — 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 ×0.950.

Result: wOBA .371 → .282; ISO .257 → .186; BABIP .290 → .233. 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 AAANorfolk Tides · 188 PAwOBA .325 → .280 (−45)K% 16.5% → 19.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.49%	÷0.995	×1.200	—	—	19.89%
BB% (unintentional) /PA	4.26%	÷0.948	×0.690	—	×0.992	3.07%
HBP% /PA	0.00%	—	×0.940	—	×0.992	0.00%
Singles /BIP	20.81%	÷0.989	×0.930	×0.992	×0.992	19.25%
Doubles /BIP	8.72%	÷1.001	×0.830	×0.992	×0.992	7.12%
Triples /BIP	0.00%	÷1.150	×0.970	×0.992	×0.992	0.00%
Home runs /BIP	4.03%	÷0.866	×0.840	—	×0.992	3.87%

Factors used: league row IL. Park (home-season share, regressed): HR 73, 1B 98, 2B 100, 3B 130, K 99, BB 90 — 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 ×0.992.

Result: wOBA .325 → .280; ISO .172 → .151; BABIP .308 → .274. 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 AAANorfolk Tides · 208 PAwOBA .296 → .253 (−42)K% 12.0% → 14.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.02%	÷0.983	×1.200	—	—	14.67%
BB% (unintentional) /PA	7.21%	÷1.046	×0.690	—	×1.003	4.77%
HBP% /PA	0.00%	—	×0.940	—	×1.003	0.00%
Singles /BIP	18.67%	÷1.027	×0.930	×0.972	×1.003	16.49%
Doubles /BIP	6.63%	÷1.021	×0.830	×0.972	×1.003	5.25%
Triples /BIP	0.60%	÷1.150	×0.970	×0.972	×1.003	0.50%
Home runs /BIP	2.41%	÷0.776	×0.840	—	×1.003	2.62%

Factors used: league row IL. Park (home-season share, regressed): HR 55, 1B 105, 2B 104, 3B 130, K 97, BB 109 — 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 ×0.972.

Result: wOBA .296 → .253; ISO .131 → .124; BABIP .262 → .226. 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 AAAOmaha Storm Chasers · 374 PAwOBA .314 → .254 (−60)K% 15.0% → 19.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.97%	÷0.999	×1.290	—	—	19.33%
BB% (unintentional) /PA	5.88%	÷1.127	×0.710	—	×1.018	3.77%
HBP% /PA	1.07%	—	×0.980	—	×1.018	1.07%
Singles /BIP	18.18%	÷1.008	×0.900	×1.002	×1.018	16.56%
Doubles /BIP	6.99%	÷0.961	×0.810	×1.002	×1.018	6.01%
Triples /BIP	0.35%	÷0.948	×0.810	×1.002	×1.018	0.31%
Home runs /BIP	4.55%	÷1.157	×0.780	—	×1.018	3.12%

Factors used: league row PCL. Park (home-season share, regressed): HR 131, 1B 102, 2B 92, 3B 90, K 100, BB 125 — 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 ×1.002.

Result: wOBA .314 → .254; ISO .178 → .133; BABIP .265 → .234. 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 AAAOmaha Storm Chasers · 370 PAwOBA .333 → .266 (−67)K% 17.6% → 24.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.57%	÷0.945	×1.290	—	—	23.98%
BB% (unintentional) /PA	4.05%	÷1.096	×0.710	—	×1.033	2.71%
HBP% /PA	1.35%	—	×0.980	—	×1.033	1.37%
Singles /BIP	15.16%	÷1.027	×0.900	×0.972	×1.033	13.34%
Doubles /BIP	4.69%	÷0.969	×0.810	×0.972	×1.033	3.94%
Triples /BIP	0.00%	÷0.900	×0.810	×0.972	×1.033	0.00%
Home runs /BIP	9.75%	÷0.998	×0.780	—	×1.033	7.87%

Factors used: league row PCL. Park (home-season share, regressed): HR 100, 1B 105, 2B 94, 3B 80, K 89, BB 119 — 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 ×0.972.

Result: wOBA .333 → .266; ISO .275 → .214; BABIP .216 → .184. 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 AAALas Vegas 51s · 236 PAwOBA .320 → .258 (−62)K% 16.9% → 23.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.95%	÷0.952	×1.290	—	—	22.98%
BB% (unintentional) /PA	3.81%	÷0.994	×0.710	—	×1.048	2.85%
HBP% /PA	1.27%	—	×0.980	—	×1.048	1.31%
Singles /BIP	17.42%	÷1.018	×0.900	×0.973	×1.048	15.70%
Doubles /BIP	8.43%	÷1.023	×0.810	×0.973	×1.048	6.81%
Triples /BIP	0.56%	÷1.150	×0.810	×0.973	×1.048	0.40%
Home runs /BIP	5.06%	÷1.078	×0.780	—	×1.048	3.84%

Factors used: league row PCL. Park (home-season share, regressed): HR 116, 1B 104, 2B 105, 3B 130, K 90, BB 99 — 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 ×0.973.

Result: wOBA .320 → .258; ISO .202 → .151; BABIP .272 → .233. 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 AABinghamton Mets · 79 PAwOBA .286 → .281 (−5)K% 5.1% → 6.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	5.06%	÷1.034	×1.220	—	—	5.98%
BB% (unintentional) /PA	7.59%	÷1.019	×0.700	—	×1.012	5.28%
HBP% /PA	1.27%	—	×0.850	—	×1.012	1.09%
Singles /BIP	16.92%	÷0.949	×0.970	×1.028	×1.012	18.00%
Doubles /BIP	9.23%	÷0.991	×0.860	×1.028	×1.012	8.33%
Triples /BIP	0.00%	÷0.900	×0.950	×1.028	×1.012	0.00%
Home runs /BIP	0.00%	÷1.012	×0.780	—	×1.012	0.00%

Factors used: league row EL. Park (home-season share, regressed): HR 102, 1B 90, 2B 98, 3B 80, K 107, BB 104 — 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 ×1.028.

Result: wOBA .286 → .281; ISO .087 → .084; BABIP .258 → .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).

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