Francisco Arcia

PosC

B/TL/R

Born1989-09-14

Age (2027)37

No MLB projection yet. Career stats below are historical.

Overview

INTLROOKIE

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	wRC+	WAR
2024	34	INTLVenezuela	57	.167/.211/.204	0	17	—
2025	35	INTLBravos de Mar…	60	.220/.316/.280	1	67	—
2026	36	INTLBravos de Mar…	15	.200/.467/.200	0	129	—

Contract

No contract data on file.

Scouting grades · 20-80

Power47Speed25Eye27

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	ROK	DSL Yankees 2	—	193	156	42	11	4	3	25	35	10	5	2	269	403	449	852	179	328	18	13	380	53	—	—	—	—	—	—
2008	18	ROK	GCL Yankees	—	53	47	6	1	0	1	2	6	2	0	1	128	196	213	409	85	122	11	4	186	-15	—	—	—	—	—	—
2009	19	ROK	GCL Yankees	—	112	97	24	7	0	2	11	16	2	0	0	247	336	381	718	134	272	14	10	320	42	—	—	—	—	—	—
2010	20	A	Charleston RiverDogs	—	58	51	16	4	0	0	7	8	0	1	0	314	397	392	789	78	372	14	12	360	88	—	—	—	—	—	—
2012	22	A	Charleston RiverDogs	—	256	224	55	14	1	5	21	45	5	2	3	246	324	384	708	138	281	18	8	312	55	—	—	—	—	—	—
2013	23	AA	Trenton Thunder	—	72	68	12	1	0	2	4	18	0	0	0	176	222	279	502	103	208	25	6	228	9	—	—	—	—	—	—
2013	23	A+	Tampa Yankees	—	147	129	30	3	1	2	12	24	4	1	0	233	317	318	635	85	272	16	8	290	55	—	—	—	—	—	—
2013	23	INTL	Aguilas del Zulia	—	63	52	15	2	0	1	5	15	2	0	0	288	373	385	757	96	378	24	8	325	106	—	—	—	—	—	—
2014	24	AAA	Scranton/Wilkes-Barre RailRiders	—	137	128	31	5	0	0	5	26	3	0	0	242	287	281	568	39	301	19	4	260	43	—	—	—	—	—	—
2014	24	AA	Trenton Thunder	—	104	97	31	6	1	1	5	16	0	0	1	320	353	433	786	113	366	15	5	343	102	—	—	—	—	—	—
2014	24	INTL	Aguilas del Zulia	—	92	87	16	3	0	0	4	21	1	0	0	184	228	218	447	34	242	23	4	208	27	—	—	—	—	—	—
2015	25	AA	Trenton Thunder	—	266	238	59	8	0	3	19	34	8	3	1	248	325	319	644	71	279	13	7	297	60	—	—	—	—	—	—
2015	25	INTL	Aguilas del Zulia	—	160	137	36	8	2	0	18	24	4	0	1	263	365	350	715	88	316	15	11	328	108	—	—	—	—	—	—
2016	26	AAA	New Orleans Zephyrs	—	66	61	13	1	0	0	2	14	2	0	0	213	262	230	491	16	277	21	3	227	16	—	—	—	—	—	—
2016	26	AA	Jacksonville Suns	—	284	250	58	11	1	1	25	60	7	0	1	232	319	296	615	64	300	21	9	286	48	—	—	—	—	—	—
2016	26	INTL	Venezuela	—	130	119	30	8	0	0	7	16	4	0	1	252	315	319	635	67	291	12	5	292	84	—	—	—	—	—	—
2017	27	AAA	Salt Lake Bees	—	57	52	10	1	0	0	3	10	2	1	0	192	263	212	475	19	238	18	5	228	17	—	—	—	—	—	—
2017	27	AA	Mobile BayBears	—	95	80	19	3	0	0	9	17	5	1	2	237	351	275	626	38	302	18	9	298	49	—	—	—	—	—	—
2017	27	INTL	Aguilas del Zulia	—	71	65	12	3	1	0	3	17	2	0	0	185	243	262	504	77	250	24	4	229	41	—	—	—	—	—	—
2018	28	MLB	Los Angeles Angels	—	106	103	21	5	0	6	1	27	2	1	0	204	226	427	654	223	214	25	1	284	79	-3	+0	-2	+8	+2	0.5
2018	28	AAA	Salt Lake Bees	—	168	145	41	3	2	3	11	25	5	2	1	283	354	393	747	110	322	15	7	325	70	—	—	—	—	—	—
2018	28	AA	Mobile BayBears	—	15	15	3	0	0	0	0	2	0	0	0	200	200	200	400		231	13	0	181	-14	—	—	—	—	—	—
2018	28	INTL	Cardenales de Lara	—	161	146	45	7	1	2	9	10	4	0	1	308	365	411	776	103	319	6	6	346	120	—	—	—	—	—	—
2019	29	AAA	Scranton/Wilkes-Barre RailRiders	—	220	205	42	8	0	1	9	39	3	0	2	205	249	259	507	54	246	18	4	230	7	—	—	—	—	—	—
2019	29	AA	Trenton Thunder	—	29	26	5	0	0	0	2	4	1	0	0	192	276	192	468		227	14	7	229	16	—	—	—	—	—	—
2019	29	INTL	Cardenales de Lara	—	55	48	16	3	0	0	5	6	1	0	0	333	407	396	803	62	381	11	9	361	130	—	—	—	—	—	—
2020	30	INTL	Cardenales de Lara	—	25	20	3	0	0	0	4	1	1	0	0	150	320	150	470		158	4	16	250	55	—	—	—	—	—	—
2021	31	AAA	Salt Lake Bees	—	30	28	10	1	0	0	2	9	0	2	0	357	400	393	793	36	526	30	7	361	70	—	—	—	—	—	—
2021	31	INTL	Venezuela	—	72	55	13	3	0	0	9	7	5	0	1	236	391	291	682	55	260	10	12	317	101	—	—	—	—	—	—
2022	32	INTL	Venezuela	—	118	103	33	6	0	0	12	16	2	2	0	320	402	379	780	58	375	14	10	356	127	—	—	—	—	—	—
2023	33	AAA	Rochester Red Wings	—	35	32	7	3	0	0	2	10	1	0	0	219	286	312	598	94	318	29	6	274	19	—	—	—	—	—	—
2023	33	INTL	Venezuela	—	98	88	19	3	0	0	7	13	2	0	1	216	289	250	539	34	250	13	7	252	57	—	—	—	—	—	—
2024	34	INTL	Venezuela	—	57	54	9	2	0	0	2	8	1	0	0	167	211	204	414	37	196	14	4	194	17	—	—	—	—	—	—
2025	35	INTL	Bravos de Margarita	—	60	50	11	0	0	1	6	9	1	0	0	220	316	280	596	60	244	15	10	268	67	—	—	—	—	—	—
2026	36	INTL	Bravos de Margarita	—	15	10	2	0	0	0	3	3	2	0	0	200	467	200	667		286	20	20	358	129	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	106	103	21	5	0	6	1	27	2	1	0	204	226	427	654	223	214	25	1	284	78	-3	+0	-2	+8	+2	0.5
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2007	17	ROK MLE	DSL Yankees 2	—	193	163	27	7	2	1	18	43	10	5	2	166	288	252	539	86	208	22	9	246	53	—	—	—	—	—	—
2008	18	ROK MLE	GCL Yankees	—	53	48	6	1	0	1	1	9	2	0	1	125	176	208	385	83	103	17	2	146	-15	—	—	—	—	—	—
2009	19	ROK MLE	GCL Yankees	—	112	101	19	5	0	2	7	23	2	0	0	188	255	297	552	109	207	21	6	231	42	—	—	—	—	—	—
2010	20	A MLE	Charleston RiverDogs	—	58	53	14	3	0	0	5	10	0	1	0	264	328	321	648	57	337	17	9	299	88	—	—	—	—	—	—
2012	22	A MLE	Charleston RiverDogs	—	256	232	49	11	1	4	13	62	5	2	3	211	268	319	587	108	252	24	5	250	55	—	—	—	—	—	—
2013	23	AA MLE	Trenton Thunder	—	72	69	11	1	0	2	3	22	0	0	0	159	194	261	455	101	196	31	4	182	9	—	—	—	—	—	—
2013	23	A+ MLE	Tampa Yankees	—	147	132	28	3	1	2	9	33	4	1	0	212	283	295	578	83	256	22	6	249	55	—	—	—	—	—	—
2014	24	AAA MLE	Scranton/Wilkes-Barre RailRiders	—	137	129	28	4	0	0	4	32	3	0	0	217	257	248	505	31	290	23	3	232	43	—	—	—	—	—	—
2014	24	AA MLE	Trenton Thunder	—	104	98	30	5	1	1	4	20	0	0	1	306	333	408	741	102	358	19	4	319	102	—	—	—	—	—	—
2015	25	AA MLE	Trenton Thunder	—	266	245	57	7	0	2	12	44	8	3	1	233	291	286	576	53	273	17	5	257	60	—	—	—	—	—	—
2016	26	AAA MLE	New Orleans Zephyrs	—	66	62	11	1	0	0	1	18	2	0	0	177	215	194	409	16	250	27	2	192	16	—	—	—	—	—	—
2016	26	AA MLE	Jacksonville Suns	—	284	260	55	11	1	1	15	74	7	0	1	212	273	273	546	62	283	26	5	239	48	—	—	—	—	—	—
2017	27	AAA MLE	Salt Lake Bees	—	57	53	9	1	0	0	2	13	2	1	0	170	228	189	417	19	224	23	4	194	17	—	—	—	—	—	—
2017	27	AA MLE	Mobile BayBears	—	95	83	17	2	0	0	6	21	5	1	2	205	298	229	527	24	264	22	6	240	49	—	—	—	—	—	—
2018	28	MLB MLE	Los Angeles Angels	—	106	103	21	5	0	6	1	27	2	1	0	204	226	427	654	223	214	25	1	284	79	-3	+0	-2	+8	+2	0.5
2018	28	AAA MLE	Salt Lake Bees	—	168	149	36	2	2	2	7	32	5	2	1	242	298	322	620	81	277	19	4	272	70	—	—	—	—	—	—
2018	28	AA MLE	Mobile BayBears	—	15	15	3	0	0	0	0	2	0	0	0	200	200	200	400		199	13	0	147	-14	—	—	—	—	—	—
2019	29	AAA MLE	Scranton/Wilkes-Barre RailRiders	—	220	209	35	6	0	1	5	46	3	0	2	167	198	211	409	43	203	21	2	179	7	—	—	—	—	—	—
2019	29	AA MLE	Trenton Thunder	—	29	27	5	0	0	0	1	5	1	0	0	185	241	185	427		212	17	3	192	16	—	—	—	—	—	—
2021	31	AAA MLE	Salt Lake Bees	—	30	29	8	1	0	0	1	11	0	2	0	276	300	310	610	34	448	37	3	271	70	—	—	—	—	—	—
2023	33	AAA MLE	Rochester Red Wings	—	35	33	5	2	0	0	1	12	1	0	0	152	200	212	412	61	253	34	3	196	19	—	—	—	—	—	—
2007	17	ROK MLE	DSL Yankees 2	—	193	163	27	7	2	1	18	43	10	5	2	166	288	252	539	86	217	22	9	246	53	—	—	—	—	—	—
2007	17	ROK RAW	DSL Yankees 2	—	193	156	42	11	4	3	25	35	10	5	2	269	403	449	852	179	328	18	13	380	53	—	—	—	—	—	—
2008	18	ROK MLE	GCL Yankees	—	53	48	6	1	0	1	1	9	2	0	1	125	176	208	385	83	128	17	2	146	-15	—	—	—	—	—	—
2008	18	ROK RAW	GCL Yankees	—	53	47	6	1	0	1	2	6	2	0	1	128	196	213	409	85	122	11	4	186	-15	—	—	—	—	—	—
2009	19	ROK MLE	GCL Yankees	—	112	101	19	5	0	2	7	23	2	0	0	188	255	297	552	109	218	21	6	231	42	—	—	—	—	—	—
2009	19	ROK RAW	GCL Yankees	—	112	97	24	7	0	2	11	16	2	0	0	247	336	381	718	134	272	14	10	320	42	—	—	—	—	—	—
2010	20	A MLE	Charleston RiverDogs	—	58	53	14	3	0	0	5	10	0	1	0	264	328	321	648	57	326	17	9	299	88	—	—	—	—	—	—
2010	20	A RAW	Charleston RiverDogs	—	58	51	16	4	0	0	7	8	0	1	0	314	397	392	789	78	372	14	12	360	88	—	—	—	—	—	—
2012	22	A MLE	Charleston RiverDogs	—	256	232	49	11	1	4	13	62	5	2	3	211	268	319	587	108	265	24	5	250	55	—	—	—	—	—	—
2012	22	A RAW	Charleston RiverDogs	—	256	224	55	14	1	5	21	45	5	2	3	246	324	384	708	138	281	18	8	312	55	—	—	—	—	—	—
2013	23	A+ MLE	3 teams	—	282	256	49	5	1	4	14	70	6	1	0	191	250	266	516	74	246	25	5	227	40	—	—	—	—	—	—
2013	23	A+ RAW	3 teams	—	282	249	57	6	1	5	21	57	6	1	0	229	304	321	626	92	277	20	7	282	40	—	—	—	—	—	—
2014	24	AAA MLE	3 teams	—	333	316	82	14	1	1	10	72	4	0	1	259	291	320	611	60	329	22	3	270	69	—	—	—	—	—	—
2014	24	AAA RAW	3 teams	—	333	312	78	14	1	1	14	63	4	0	1	250	291	311	602	61	307	19	4	272	69	—	—	—	—	—	—
2015	25	AA MLE	2 teams	—	426	393	91	11	0	3	19	70	12	3	2	232	288	282	570	51	274	16	4	257	60	—	—	—	—	—	—
2015	25	AA RAW	2 teams	—	426	375	95	16	2	3	37	58	12	3	2	253	340	331	670	77	292	14	9	309	60	—	—	—	—	—	—
2016	26	AA MLE	3 teams	—	480	442	90	16	1	1	22	126	13	0	2	204	262	251	513	48	282	26	5	230	42	—	—	—	—	—	—
2016	26	AA RAW	3 teams	—	480	430	101	20	1	1	34	90	13	0	2	235	310	293	603	58	294	19	7	279	42	—	—	—	—	—	—
2017	27	AA MLE	3 teams	—	223	200	38	5	0	0	12	49	9	2	2	190	267	215	482	25	252	22	5	223	37	—	—	—	—	—	—
2017	27	AA RAW	3 teams	—	223	197	41	7	1	0	15	44	9	2	2	208	294	254	548	46	268	20	7	258	37	—	—	—	—	—	—
2018	28	AAA MLE	4 teams	—	450	417	94	12	3	13	13	96	11	3	2	225	268	362	630	137	261	21	3	270	69	—	—	—	—	—	—
2018	28	AAA RAW	4 teams	—	450	409	110	15	3	11	21	64	11	3	2	269	322	401	723	132	295	14	5	318	69	—	—	—	—	—	—
2019	29	AAA MLE	3 teams	—	304	287	48	7	0	1	8	63	5	0	2	167	203	202	405	35	209	21	3	181	8	—	—	—	—	—	—
2019	29	AAA RAW	3 teams	—	304	279	63	11	0	1	16	49	5	0	2	226	280	276	556	50	268	16	5	254	8	—	—	—	—	—	—
2020	30	INTL MLE	Cardenales de Lara	—	25	20	3	0	0	0	4	1	1	0	0	150	320	150	470		158	4	16	—	—	—	—	—	—	—	—
2020	30	INTL RAW	Cardenales de Lara	—	25	20	3	0	0	0	4	1	1	0	0	150	320	150	470		158	4	16	250	55	—	—	—	—	—	—
2021	31	INTL MLE	2 teams	—	102	90	28	3	0	0	4	37	5	2	1	311	374	344	718	33	509	36	4	271	70	—	—	—	—	—	—
2021	31	INTL RAW	2 teams	—	102	83	23	4	0	0	11	16	5	2	1	277	394	325	719	48	333	16	11	330	70	—	—	—	—	—	—
2022	32	INTL MLE	Venezuela	—	118	103	33	6	0	0	12	16	2	2	0	320	402	379	780	58	375	14	10	—	—	—	—	—	—	—	—
2022	32	INTL RAW	Venezuela	—	118	103	33	6	0	0	12	16	2	2	0	320	402	379	780	58	375	14	10	356	127	—	—	—	—	—	—
2023	33	INTL MLE	2 teams	—	133	124	19	7	0	0	5	47	3	0	1	153	205	210	414	56	244	35	4	196	19	—	—	—	—	—	—
2023	33	INTL RAW	2 teams	—	133	120	26	6	0	0	9	23	3	0	1	217	288	267	555	50	265	17	7	258	19	—	—	—	—	—	—
2024	34	INTL MLE	Venezuela	—	57	54	9	2	0	0	2	8	1	0	0	167	211	204	414	37	196	14	4	—	—	—	—	—	—	—	—
2024	34	INTL RAW	Venezuela	—	57	54	9	2	0	0	2	8	1	0	0	167	211	204	414	37	196	14	4	194	17	—	—	—	—	—	—
2025	35	INTL MLE	Bravos de Margarita	—	60	50	11	0	0	1	6	9	1	0	0	220	316	280	596	60	244	15	10	—	—	—	—	—	—	—	—
2025	35	INTL RAW	Bravos de Margarita	—	60	50	11	0	0	1	6	9	1	0	0	220	316	280	596	60	244	15	10	268	67	—	—	—	—	—	—
2026	36	INTL MLE	Bravos de Margarita	—	15	10	2	0	0	0	3	3	2	0	0	200	467	200	667		286	20	20	—	—	—	—	—	—	—	—
2026	36	INTL RAW	Bravos de Margarita	—	15	10	2	0	0	0	3	3	2	0	0	200	467	200	667		286	20	20	358	129	—	—	—	—	—	—
2007	17	ROK MLE	DSL Yankees 2	—	193	163	27	7	2	1	18	43	10	5	2	166	288	252	539	86	208	22	9	246	53	—	—	—	—	—	—
2008	18	ROK MLE	GCL Yankees	—	53	50	6	1	0	1	1	9	2	0	1	120	176	200	376	80	103	17	2	146	-15	—	—	—	—	—	—
2009	19	ROK MLE	GCL Yankees	—	112	102	19	5	0	2	7	23	2	0	0	186	255	294	549	108	207	21	6	231	42	—	—	—	—	—	—
2010	20	A MLE	Charleston RiverDogs	—	58	53	14	3	0	0	5	10	0	1	0	264	328	321	648	57	337	17	9	299	88	—	—	—	—	—	—
2012	22	A MLE	Charleston RiverDogs	—	256	236	49	11	1	4	13	62	5	2	3	208	268	314	582	106	252	24	5	250	55	—	—	—	—	—	—
2013	23	A+ MLE	3 teams	—	282	260	49	5	1	4	14	70	6	1	0	188	250	262	512	73	236	25	5	227	40	—	—	—	—	—	—
2014	24	AAA MLE	3 teams	—	333	316	82	14	1	1	10	72	4	0	1	259	291	320	611	60	319	22	3	270	69	—	—	—	—	—	—
2015	25	AA MLE	2 teams	—	426	392	91	11	0	3	19	70	12	3	2	232	288	283	571	51	273	16	4	257	60	—	—	—	—	—	—
2016	26	AA MLE	3 teams	—	480	442	90	16	1	1	22	126	13	0	2	204	262	251	513	48	277	26	5	230	42	—	—	—	—	—	—
2017	27	AA MLE	3 teams	—	223	200	38	5	0	0	12	49	9	2	2	190	267	215	482	25	249	22	5	223	37	—	—	—	—	—	—
2018	28	AAA MLE	4 teams	—	450	423	94	12	3	13	13	96	11	3	2	222	268	357	625	135	250	21	3	270	69	—	—	—	—	—	—
2019	29	AAA MLE	3 teams	—	304	288	48	7	0	1	8	63	5	0	2	167	203	201	405	35	204	21	3	181	8	—	—	—	—	—	—
2021	31	INTL MLE	2 teams	—	102	92	28	3	0	0	4	37	5	2	1	304	374	337	711	33	448	36	4	271	70	—	—	—	—	—	—
2023	33	INTL MLE	2 teams	—	133	124	19	7	0	0	5	47	3	0	1	153	205	210	414	56	253	35	4	196	19	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	106	103	21	5	0	6	1	27	2	1	0	204	226	427	654	223	214	25	1	284	36	-3	+0	-2	+8	+2	0.5
/ 162G	—	A+C		—	650	632	129	31	0	37	6	166	12	6	0	204	226	429	655	225	214	26	1	284	36	-17	+1	-15	+49	+14	3.4
Career	—	MLE		—	3680	3359	712	115	9	32	178	814	94	21	19	212	271	280	551	68	268	22	5	222	36	-3	+0	-2	+8	+2	0.5
/ 162G	—	MLE		—	650	593	126	20	2	6	31	144	17	4	3	212	271	283	555	71	268	22	5	222	36	-17	+1	-15	+49	+14	3.4

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.

2023 AAARochester Red Wings · 35 PAwOBA .267 → .196 (−72)K% 28.6% → 35.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	28.57%	÷0.980	×1.200	—	—	34.98%
BB% (unintentional) /PA	5.71%	÷0.956	×0.690	—	×0.940	3.88%
HBP% /PA	2.86%	—	×0.940	—	×0.940	2.52%
Singles /BIP	18.18%	÷0.996	×0.930	—	×0.940	15.97%
Doubles /BIP	13.64%	÷1.137	×0.830	—	×0.940	9.36%
Triples /BIP	0.00%	÷1.150	×0.970	—	×0.940	0.00%
Home runs /BIP	0.00%	÷1.058	×0.700	—	×0.940	0.00%

Factors used: league row International League. Park (home-season share, regressed): HR 112, 1B 99, 2B 127, 3B 130, K 96, BB 91 — 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).

Result: wOBA .267 → .196; ISO .094 → .060; BABIP .318 → .253. 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 AAASalt Lake Bees · 30 PAwOBA .351 → .271 (−81)K% 30.0% → 36.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	30.00%	÷0.982	×1.200	—	—	36.65%
BB% (unintentional) /PA	6.67%	÷1.090	×0.690	—	×0.952	4.02%
HBP% /PA	0.00%	—	×0.940	—	×0.952	0.00%
Singles /BIP	47.37%	÷1.032	×0.930	—	×0.952	40.65%
Doubles /BIP	5.26%	÷1.002	×0.830	—	×0.952	4.15%
Triples /BIP	0.00%	÷1.150	×0.920	—	×0.952	0.00%
Home runs /BIP	0.00%	÷0.907	×0.700	—	×0.952	0.00%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 81, 1B 106, 2B 100, 3B 130, K 96, BB 118 — 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 .351 → .271; ISO .036 → .026; BABIP .526 → .448. 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 AAAScranton/Wilkes-Barre RailRiders · 220 PAwOBA .224 → .179 (−45)K% 17.7% → 21.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.73%	÷1.007	×1.200	—	—	21.13%
BB% (unintentional) /PA	3.64%	÷1.066	×0.690	—	×0.972	2.29%
HBP% /PA	1.36%	—	×0.940	—	×0.972	1.25%
Singles /BIP	19.88%	÷1.019	×0.930	×0.950	×0.972	16.75%
Doubles /BIP	4.82%	÷1.009	×0.830	×0.950	×0.972	3.66%
Triples /BIP	0.00%	÷0.938	×0.970	×0.950	×0.972	0.00%
Home runs /BIP	0.60%	÷1.087	×0.840	—	×0.972	0.45%

Factors used: league row IL. Park (home-season share, regressed): HR 117, 1B 104, 2B 102, 3B 88, K 101, BB 113 — 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 .224 → .179; ISO .054 → .041; BABIP .246 → .203. 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 AATrenton Thunder · 29 PAwOBA .224 → .192 (−32)K% 13.8% → 17.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.79%	÷0.956	×1.220	—	—	17.60%
BB% (unintentional) /PA	6.90%	÷0.999	×0.700	—	×0.948	4.58%
HBP% /PA	3.45%	—	×0.850	—	×0.948	2.78%
Singles /BIP	22.73%	÷0.984	×0.970	—	×0.948	21.25%
Doubles /BIP	0.00%	÷1.040	×0.860	—	×0.948	0.00%
Triples /BIP	0.00%	÷0.937	×0.950	—	×0.948	0.00%
Home runs /BIP	0.00%	÷0.960	×0.780	—	×0.948	0.00%

Factors used: league row EL. Park (home-season share, regressed): HR 92, 1B 97, 2B 108, 3B 87, K 91, BB 100 — applied at half strength. Age: age 30 vs a level average of 24.8 → −5.2% on BB/HBP/hit rates (5.2 yr older than average).

Result: wOBA .224 → .192; ISO .000 → .000; BABIP .227 → .212. 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 AAASalt Lake Bees · 168 PAwOBA .318 → .272 (−46)K% 14.9% → 19.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.88%	÷1.003	×1.290	—	—	19.14%
BB% (unintentional) /PA	6.55%	÷1.068	×0.710	—	×0.982	4.27%
HBP% /PA	2.98%	—	×0.980	—	×0.982	2.86%
Singles /BIP	27.50%	÷1.064	×0.900	×1.050	×0.982	23.98%
Doubles /BIP	2.50%	÷1.045	×0.810	×1.050	×0.982	2.00%
Triples /BIP	1.67%	÷0.969	×0.810	×1.050	×0.982	1.44%
Home runs /BIP	2.50%	÷0.958	×0.780	—	×0.982	2.00%

Factors used: league row PCL. Park (home-season share, regressed): HR 92, 1B 113, 2B 109, 3B 94, K 101, BB 114 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .318 → .272; ISO .110 → .093; BABIP .322 → .277. 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 AAMobile BayBears · 15 PAwOBA .176 → .147 (−29)K% 13.3% → 16.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.33%	÷1.012	×1.220	—	—	16.08%
BB% (unintentional) /PA	0.00%	÷1.040	×0.680	—	×0.958	0.00%
HBP% /PA	0.00%	—	×0.840	—	×0.958	0.00%
Singles /BIP	23.08%	÷1.021	×0.920	—	×0.958	19.92%
Doubles /BIP	0.00%	÷1.014	×0.910	—	×0.958	0.00%
Triples /BIP	0.00%	÷0.944	×0.880	—	×0.958	0.00%
Home runs /BIP	0.00%	÷0.959	×0.800	—	×0.958	0.00%

Factors used: league row SL. Park (home-season share, regressed): HR 92, 1B 104, 2B 103, 3B 89, K 102, BB 108 — applied at half strength. Age: age 29 vs a level average of 24.8 → −4.2% on BB/HBP/hit rates (4.2 yr older than average).

Result: wOBA .176 → .147; ISO .000 → .000; BABIP .231 → .199. 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 AAMobile BayBears · 95 PAwOBA .291 → .240 (−51)K% 17.9% → 21.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.89%	÷0.998	×1.220	—	—	21.87%
BB% (unintentional) /PA	9.47%	÷0.986	×0.680	—	×0.968	6.33%
HBP% /PA	5.26%	—	×0.840	—	×0.968	4.28%
Singles /BIP	25.40%	÷1.018	×0.920	×1.026	×0.968	22.80%
Doubles /BIP	4.76%	÷1.204	×0.910	×1.026	×0.968	3.57%
Triples /BIP	0.00%	÷0.930	×0.880	×1.026	×0.968	0.00%
Home runs /BIP	0.00%	÷0.896	×0.800	—	×0.968	0.00%

Factors used: league row SL. Park (home-season share, regressed): HR 79, 1B 104, 2B 141, 3B 86, K 100, BB 97 — applied at half strength. Age: age 28 vs a level average of 24.8 → −3.2% on BB/HBP/hit rates (3.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.026.

Result: wOBA .291 → .240; ISO .037 → .029; BABIP .302 → .264. 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 AAASalt Lake Bees · 57 PAwOBA .222 → .194 (−28)K% 17.5% → 22.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.54%	÷1.010	×1.290	—	—	22.40%
BB% (unintentional) /PA	5.26%	÷0.993	×0.710	—	×0.992	3.73%
HBP% /PA	3.51%	—	×0.980	—	×0.992	3.41%
Singles /BIP	21.43%	÷0.986	×0.900	×1.050	×0.992	20.37%
Doubles /BIP	2.38%	÷1.009	×0.810	×1.050	×0.992	1.99%
Triples /BIP	0.00%	÷1.093	×0.810	×1.050	×0.992	0.00%
Home runs /BIP	0.00%	÷0.989	×0.780	—	×0.992	0.00%

Factors used: league row PCL. Park (home-season share, regressed): HR 98, 1B 97, 2B 102, 3B 119, K 102, BB 99 — 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 .222 → .194; ISO .019 → .015; BABIP .238 → .224. 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 — .