Juan Francisco

Pos3B

B/TL/R

Born1987-06-24

Age (2027)40

No MLB projection yet. Career stats below are historical.

Overview

INTLLAST SEASON 2023

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	wRC+	WAR
2021	34	INTLDominican Rep…	146	.206/.310/.325	4	84	—
2022	35	INTLGigantes del …	89	.181/.337/.306	3	93	—
2023	36	INTLToros del Este	46	.231/.348/.308	1	95	—

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)
2006	19	ROK	Billings Mustangs	—	226	218	63	17	0	3	6	43	1	4	1	289	311	408	719	119	347	19	3	318	39	—	—	—	—	—	—
2007	20	A	Dayton Dragons	—	562	534	143	21	4	25	23	161	3	12	6	268	302	463	764	195	337	29	4	334	61	—	—	—	—	—	—
2008	21	A+	Sarasota Reds	—	541	516	143	34	5	23	19	123	2	1	2	277	305	496	802	219	321	23	4	347	81	—	—	—	—	—	—
2009	22	MLB	Cincinnati Reds	—	25	21	9	1	0	1	3	7	1	0	0	429	520	619	1.139	190	615	28	12	501	225	+4	+0	+1	+2	+1	0.8
2009	22	AAA	Louisville Bats	—	99	92	33	5	1	5	4	24	1	0	0	359	392	598	990	239	431	24	4	423	147	—	—	—	—	—	—
2009	22	AA	Carolina Mudcats	—	464	437	123	26	2	22	20	91	4	6	2	281	319	501	820	220	309	20	4	356	97	—	—	—	—	—	—
2010	23	MLB	Cincinnati Reds	—	59	55	15	3	0	1	4	20	0	0	1	273	322	382	704	109	412	34	7	317	98	-0	-0	+1	+2	+1	0.4
2010	23	AAA	Louisville Bats	—	329	308	88	24	4	18	16	81	3	1	0	286	327	565	892	279	332	25	5	383	105	—	—	—	—	—	—
2010	23	INTL	Gigantes del Cibao	—	166	152	49	12	0	8	11	37	3	0	1	322	380	559	939	237	383	22	7	411	164	—	—	—	—	—	—
2011	24	MLB	Cincinnati Reds	—	97	93	24	7	1	3	4	24	0	1	0	258	289	452	740	194	318	25	4	324	97	-0	+0	-2	+2	+2	0.2
2011	24	AAA	Louisville Bats	—	314	300	92	23	1	15	10	65	3	0	0	307	335	540	875	233	348	21	3	381	112	—	—	—	—	—	—
2011	24	ROK	AZL Reds	—	19	18	9	3	0	1	1	3	0	0	0	500	526	833	1.360	333	571	16	5	587	152	—	—	—	—	—	—
2011	24	INTL	Tigres del Licey	—	199	180	54	7	2	5	17	41	2	0	2	300	367	444	811	144	366	21	9	363	132	—	—	—	—	—	—
2012	25	MLB	Atlanta Braves	—	205	192	45	11	0	9	11	70	1	1	1	234	279	432	712	198	316	34	5	312	95	-1	-0	+3	+1	+4	0.7
2012	25	INTL	Tigres del Licey	—	141	127	39	7	0	9	12	38	1	0	0	307	371	575	946	268	370	27	9	409	163	—	—	—	—	—	—
2013	26	MLB	Milwaukee Brewers	—	385	348	79	12	1	18	32	138	3	0	2	227	298	422	720	195	314	36	8	318	97	-1	-1	-11	-10	+8	-1.5
2013	26	INTL	Tigres del Licey	—	171	150	39	9	1	3	16	42	5	0	0	260	351	393	744	133	343	25	9	338	115	—	—	—	—	—	—
2014	27	MLB	Toronto Blue Jays	—	320	287	63	16	2	16	27	116	3	0	2	220	293	456	750	237	297	36	8	326	106	+2	-1	-1	+2	+7	0.9
2014	27	AAA	Buffalo Bisons	—	50	44	15	2	1	2	6	9	0	0	0	341	420	568	988	227	394	18	12	432	130	—	—	—	—	—	—
2014	27	INTL	Tigres del Licey	—	162	138	30	7	0	7	18	50	3	0	0	217	321	420	741	203	274	31	11	326	107	—	—	—	—	—	—
2015	28	INTL	Tigres del Licey	—	15	13	4	1	0	0	1	6	0	0	0	308	357	385	742	77	500	40	7	313	98	—	—	—	—	—	—
2016	29	INTL	Tigres del Licey	—	103	85	13	0	0	2	17	26	0	0	0	153	294	224	518	71	190	25	17	252	57	—	—	—	—	—	—
2017	30	AAA	Leones de Yucatan	—	173	159	44	9	0	7	9	44	4	0	0	277	331	465	797	189	339	25	5	351	64	—	—	—	—	—	—
2017	30	INTL	Tigres del Licey	—	145	125	27	5	0	7	13	44	6	0	0	216	319	424	743	208	267	30	9	331	110	—	—	—	—	—	—
2018	31	INTL	Tigres del Licey	—	123	105	19	3	0	4	14	41	3	1	0	181	295	324	619	143	246	33	11	285	79	—	—	—	—	—	—
2019	32	INTL	Tigres del Licey	—	124	108	29	6	0	3	14	29	1	0	0	269	358	407	765	139	338	23	11	343	118	—	—	—	—	—	—
2020	33	INTL	Gigantes del Cibao	—	101	90	18	5	0	7	9	44	2	0	0	200	287	489	776	289	282	44	9	338	115	—	—	—	—	—	—
2021	34	INTL	Dominican Republic	—	146	126	26	3	0	4	17	44	2	0	0	206	310	325	636	119	278	30	12	292	84	—	—	—	—	—	—
2022	35	INTL	Gigantes del Cibao	—	89	72	13	0	0	3	16	21	1	0	0	181	337	306	643	125	208	24	18	306	93	—	—	—	—	—	—
2023	36	INTL	Toros del Este	—	46	39	9	0	0	1	7	15	0	0	0	231	348	308	656	77	348	33	15	309	95	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	1091	996	235	50	4	48	81	375	8	2	6	236	299	439	737	203	323	34	7	324	105	+7	-2	-9	-0	+24	1.9
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2006	19	ROK MLE	Billings Mustangs	—	226	221	47	12	0	2	3	62	1	4	1	213	227	294	521	81	283	27	1	226	39	—	—	—	—	—	—
2007	20	A MLE	Dayton Dragons	—	562	545	118	16	3	18	12	219	3	12	6	217	237	356	593	139	322	39	2	259	61	—	—	—	—	—	—
2008	21	A+ MLE	Sarasota Reds	—	541	524	125	31	4	19	11	175	2	1	2	239	257	422	679	183	312	32	2	288	81	—	—	—	—	—	—
2009	22	MLB MLE	Cincinnati Reds	—	25	21	9	1	0	1	3	7	1	0	0	429	520	619	1.139	190	615	28	12	501	225	+4	+0	+1	+2	+1	0.8
2009	22	AAA MLE	Louisville Bats	—	99	94	31	4	1	4	2	29	1	0	0	330	351	521	872	191	416	29	2	385	147	—	—	—	—	—	—
2009	22	AA MLE	Carolina Mudcats	—	464	446	116	25	2	18	11	111	4	6	2	260	284	446	730	186	302	24	2	312	97	—	—	—	—	—	—
2010	23	MLB MLE	Cincinnati Reds	—	59	55	15	3	0	1	4	20	0	0	1	273	322	382	704	109	412	34	7	313	98	-0	-0	+1	+2	+1	0.4
2010	23	AAA MLE	Louisville Bats	—	329	312	79	23	3	14	12	102	3	1	0	253	287	481	768	228	325	31	4	324	105	—	—	—	—	—	—
2011	24	MLB MLE	Cincinnati Reds	—	97	94	24	7	1	3	3	24	0	1	0	255	278	447	725	191	318	25	3	312	97	-0	+0	-2	+2	+2	0.2
2011	24	AAA MLE	Louisville Bats	—	314	303	85	21	1	13	7	81	3	0	0	281	304	485	789	205	338	26	2	334	112	—	—	—	—	—	—
2011	24	ROK MLE	AZL Reds	—	19	18	7	2	0	1	1	4	0	0	0	389	421	667	1.088	278	419	21	5	393	152	—	—	—	—	—	—
2012	25	MLB MLE	Atlanta Braves	—	205	194	45	10	0	10	9	70	1	1	1	232	270	438	708	206	316	34	4	309	95	-1	-0	+3	+1	+4	0.7
2013	26	MLB MLE	Milwaukee Brewers	—	385	351	79	13	1	17	29	138	3	0	2	225	290	413	703	188	314	36	8	311	97	-1	-1	-11	-10	+8	-1.5
2014	27	MLB MLE	Toronto Blue Jays	—	320	287	63	16	2	16	27	116	3	0	2	220	293	456	750	237	297	36	8	326	106	+2	-1	-1	+2	+7	0.9
2014	27	AAA MLE	Buffalo Bisons	—	50	47	15	2	1	2	3	11	0	0	0	319	360	532	892	213	365	22	6	360	130	—	—	—	—	—	—
2017	30	AAA MLE	Leones de Yucatan	—	173	163	35	6	0	5	5	52	4	0	0	215	256	344	599	129	279	30	3	263	64	—	—	—	—	—	—
2006	19	ROK MLE	Billings Mustangs	—	226	221	47	12	0	2	3	62	1	4	1	213	227	294	521	81	285	27	1	226	39	—	—	—	—	—	—
2006	19	ROK RAW	Billings Mustangs	—	226	218	63	17	0	3	6	43	1	4	1	289	311	408	719	119	347	19	3	318	39	—	—	—	—	—	—
2007	20	A MLE	Dayton Dragons	—	562	545	118	16	3	18	12	219	3	12	6	217	237	356	593	139	323	39	2	259	61	—	—	—	—	—	—
2007	20	A RAW	Dayton Dragons	—	562	534	143	21	4	25	23	161	3	12	6	268	302	463	764	195	337	29	4	334	61	—	—	—	—	—	—
2008	21	A+ MLE	Sarasota Reds	—	541	524	125	31	4	19	11	175	2	1	2	239	257	422	679	183	317	32	2	288	81	—	—	—	—	—	—
2008	21	A+ RAW	Sarasota Reds	—	541	516	143	34	5	23	19	123	2	1	2	277	305	496	802	219	321	23	4	347	81	—	—	—	—	—	—
2009	22	AA MLE	3 teams	—	588	561	155	30	3	23	16	147	6	6	2	276	304	463	767	187	333	25	3	332	111	—	—	—	—	—	—
2009	22	AA RAW	3 teams	—	588	550	165	32	3	28	27	122	6	6	2	300	340	522	861	222	338	21	5	374	111	—	—	—	—	—	—
2010	23	AAA MLE	3 teams	—	554	524	135	38	5	21	22	174	6	1	2	258	295	469	765	212	344	31	4	322	104	—	—	—	—	—	—
2010	23	AAA RAW	3 teams	—	554	515	152	39	4	27	31	138	6	1	2	295	342	544	886	249	355	25	6	384	104	—	—	—	—	—	—
2011	24	AAA MLE	4 teams	—	629	608	168	43	3	25	15	159	5	1	2	276	299	480	780	204	336	25	2	332	111	—	—	—	—	—	—
2011	24	AAA RAW	4 teams	—	629	591	179	40	4	24	32	133	5	1	2	303	344	506	850	203	356	21	5	372	111	—	—	—	—	—	—
2012	25	MLB MLE	2 teams	—	346	327	76	18	0	16	15	118	2	1	1	232	270	434	705	202	308	34	4	309	95	-2	-0	+3	+1	+7	1.0
2012	25	MLB RAW	2 teams	—	346	319	84	18	0	18	23	108	2	1	1	263	317	489	806	226	338	31	7	351	95	-2	-0	+3	+1	+7	1.0
2013	26	MLB MLE	2 teams	—	556	504	115	19	1	25	42	199	8	0	2	228	298	419	716	190	319	36	8	311	97	-2	-1	-11	-10	+12	-1.2
2013	26	MLB RAW	2 teams	—	556	498	118	21	2	21	48	180	8	0	2	237	314	414	728	177	324	32	9	324	97	-2	-1	-11	-10	+12	-1.2
2014	27	MLB MLE	3 teams	—	532	476	110	26	4	25	44	183	6	0	2	231	304	460	764	229	310	34	8	330	110	+6	-1	-1	+2	+12	1.8
2014	27	MLB RAW	3 teams	—	532	469	108	25	3	25	51	175	6	0	2	230	314	456	770	226	302	33	10	336	110	+6	-1	-1	+2	+12	1.8
2015	28	INTL MLE	Tigres del Licey	—	15	13	4	1	0	0	1	6	0	0	0	308	357	385	742	77	500	40	7	—	—	—	—	—	—	—	—
2015	28	INTL RAW	Tigres del Licey	—	15	13	4	1	0	0	1	6	0	0	0	308	357	385	742	77	500	40	7	313	98	—	—	—	—	—	—
2016	29	INTL MLE	Tigres del Licey	—	103	85	13	0	0	2	17	26	0	0	0	153	294	224	518	71	190	25	17	—	—	—	—	—	—	—	—
2016	29	INTL RAW	Tigres del Licey	—	103	85	13	0	0	2	17	26	0	0	0	153	294	224	518	71	190	25	17	252	57	—	—	—	—	—	—
2017	30	AAA MLE	2 teams	—	318	296	65	12	0	9	10	96	10	0	0	220	269	351	620	132	290	30	3	263	64	—	—	—	—	—	—
2017	30	AAA RAW	2 teams	—	318	284	71	14	0	14	22	88	10	0	0	250	326	447	773	197	310	28	7	342	64	—	—	—	—	—	—
2018	31	INTL MLE	Tigres del Licey	—	123	105	19	3	0	4	14	41	3	1	0	181	295	324	619	143	246	33	11	—	—	—	—	—	—	—	—
2018	31	INTL RAW	Tigres del Licey	—	123	105	19	3	0	4	14	41	3	1	0	181	295	324	619	143	246	33	11	285	79	—	—	—	—	—	—
2019	32	INTL MLE	Tigres del Licey	—	124	108	29	6	0	3	14	29	1	0	0	269	358	407	765	139	338	23	11	—	—	—	—	—	—	—	—
2019	32	INTL RAW	Tigres del Licey	—	124	108	29	6	0	3	14	29	1	0	0	269	358	407	765	139	338	23	11	343	118	—	—	—	—	—	—
2020	33	INTL MLE	Gigantes del Cibao	—	101	90	18	5	0	7	9	44	2	0	0	200	287	489	776	289	282	44	9	—	—	—	—	—	—	—	—
2020	33	INTL RAW	Gigantes del Cibao	—	101	90	18	5	0	7	9	44	2	0	0	200	287	489	776	289	282	44	9	338	115	—	—	—	—	—	—
2021	34	INTL MLE	Dominican Republic	—	146	126	26	3	0	4	17	44	2	0	0	206	310	325	636	119	278	30	12	—	—	—	—	—	—	—	—
2021	34	INTL RAW	Dominican Republic	—	146	126	26	3	0	4	17	44	2	0	0	206	310	325	636	119	278	30	12	292	84	—	—	—	—	—	—
2022	35	INTL MLE	Gigantes del Cibao	—	89	72	13	0	0	3	16	21	1	0	0	181	337	306	643	125	208	24	18	—	—	—	—	—	—	—	—
2022	35	INTL RAW	Gigantes del Cibao	—	89	72	13	0	0	3	16	21	1	0	0	181	337	306	643	125	208	24	18	306	93	—	—	—	—	—	—
2023	36	INTL MLE	Toros del Este	—	46	39	9	0	0	1	7	15	0	0	0	231	348	308	656	77	348	33	15	—	—	—	—	—	—	—	—
2023	36	INTL RAW	Toros del Este	—	46	39	9	0	0	1	7	15	0	0	0	231	348	308	656	77	348	33	15	309	95	—	—	—	—	—	—
2006	19	ROK MLE	Billings Mustangs	—	226	220	47	12	0	2	3	62	1	4	1	214	227	295	522	82	283	27	1	226	39	—	—	—	—	—	—
2007	20	A MLE	Dayton Dragons	—	562	542	118	16	3	18	12	219	3	12	6	218	237	358	595	140	322	39	2	259	61	—	—	—	—	—	—
2008	21	A+ MLE	Sarasota Reds	—	541	523	125	31	4	19	11	175	2	1	2	239	257	423	680	184	312	32	2	288	81	—	—	—	—	—	—
2009	22	AA MLE	3 teams	—	588	561	155	30	3	23	16	147	6	6	2	276	304	463	767	187	335	25	3	332	111	—	—	—	—	—	—
2010	23	AAA MLE	3 teams	—	554	521	135	38	5	21	22	174	6	1	2	259	295	472	767	213	338	31	4	322	104	—	—	—	—	—	—
2011	24	AAA MLE	4 teams	—	629	604	168	43	3	25	15	159	5	1	2	278	299	483	783	205	337	25	2	332	111	—	—	—	—	—	—
2012	25	MLB MLE	2 teams	—	346	326	76	18	0	16	15	118	2	1	1	233	270	436	706	202	316	34	4	309	95	—	—	—	—	—	—
2013	26	MLB MLE	2 teams	—	556	501	115	19	1	25	42	199	8	0	2	230	298	421	719	192	314	36	8	311	97	—	—	—	—	—	—
2014	27	MLB MLE	3 teams	—	532	477	110	26	4	25	44	183	6	0	2	231	304	459	763	229	307	34	8	330	110	—	—	—	—	—	—
2017	30	AAA MLE	2 teams	—	318	295	65	12	0	9	10	96	10	0	0	220	269	353	622	132	279	30	3	263	64	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1091	996	235	50	4	48	81	375	8	2	6	236	299	439	737	203	323	34	7	324	64	+7	-2	-9	-0	+24	1.9
/ 162G	—	A+C		—	650	593	140	30	2	29	48	223	5	1	4	236	299	440	739	204	322	34	7	324	64	+4	-1	-6	-0	+14	1.1
Career	—	MLE		—	5599	5224	1245	263	23	207	285	1758	58	27	20	238	285	416	702	178	315	31	5	263	64	+7	-2	-9	-0	+24	1.9
/ 162G	—	MLE		—	650	606	145	31	3	24	33	204	7	3	2	239	286	419	706	180	317	31	5	263	64	+4	-1	-6	-0	+14	1.1

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.

2017 AAALeones de Yucatan · 173 PAwOBA .341 → .263 (−77)K% 25.4% → 30.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.43%	÷1.015	×1.200	—	—	30.08%
BB% (unintentional) /PA	4.62%	÷0.998	×0.690	—	×0.972	3.11%
HBP% /PA	2.31%	—	×0.940	—	×0.972	2.11%
Singles /BIP	24.35%	÷1.002	×0.930	×0.962	×0.972	21.15%
Doubles /BIP	7.83%	÷1.054	×0.830	×0.962	×0.972	5.77%
Triples /BIP	0.00%	÷0.900	×0.920	×0.962	×0.972	0.00%
Home runs /BIP	6.09%	÷0.945	×0.700	—	×0.972	4.38%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 89, 1B 100, 2B 111, 3B 80, K 103, BB 100 — 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 ×0.962.

Result: wOBA .341 → .263; ISO .189 → .133; BABIP .339 → .279. 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 AAABuffalo Bisons · 50 PAwOBA .415 → .360 (−54)K% 18.0% → 22.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.00%	÷0.942	×1.200	—	—	22.94%
BB% (unintentional) /PA	10.00%	÷1.041	×0.690	—	×1.003	6.65%
HBP% /PA	0.00%	—	×0.940	—	×1.003	0.00%
Singles /BIP	28.57%	÷0.968	×0.930	—	×1.003	27.54%
Doubles /BIP	5.71%	÷0.985	×0.830	—	×1.003	4.83%
Triples /BIP	2.86%	÷1.150	×0.970	—	×1.003	2.42%
Home runs /BIP	5.71%	÷1.006	×0.840	—	×1.003	4.79%

Factors used: league row IL. Park (home-season share, regressed): HR 101, 1B 94, 2B 97, 3B 130, K 88, BB 108 — 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).

Result: wOBA .415 → .360; ISO .227 → .192; BABIP .394 → .365. 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 AAALouisville Bats · 314 PAwOBA .371 → .334 (−36)K% 20.7% → 25.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.70%	÷0.966	×1.200	—	—	25.71%
BB% (unintentional) /PA	3.18%	÷1.070	×0.690	—	×1.048	2.15%
HBP% /PA	0.96%	—	×0.940	—	×1.048	0.94%
Singles /BIP	22.55%	÷1.033	×0.930	×1.048	×1.048	22.30%
Doubles /BIP	9.79%	÷0.972	×0.830	×1.048	×1.048	9.17%
Triples /BIP	0.43%	÷0.924	×0.970	×1.048	×1.048	0.49%
Home runs /BIP	6.38%	÷0.944	×0.840	—	×1.048	5.95%

Factors used: league row IL. Park (home-season share, regressed): HR 89, 1B 107, 2B 94, 3B 85, K 93, BB 114 — 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 ×1.048.

Result: wOBA .371 → .334; ISO .233 → .209; BABIP .348 → .338. 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 ROKAZL Reds · 19 PAwOBA .570 → .393 (−177)K% 15.8% → 22.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.79%	÷1.000	×1.440	—	—	22.74%
BB% (unintentional) /PA	5.26%	÷1.000	×0.620	—	×0.955	3.12%
HBP% /PA	0.00%	—	×0.720	—	×0.955	0.00%
Singles /BIP	33.33%	÷1.000	×0.820	—	×0.955	26.10%
Doubles /BIP	20.00%	÷1.000	×0.720	—	×0.955	13.75%
Triples /BIP	0.00%	÷1.000	×0.720	—	×0.955	0.00%
Home runs /BIP	6.67%	÷1.000	×0.780	—	×0.955	4.97%

Factors used: level-wide ROK factors (no league-specific row for this league/era). 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 19.5 → −4.5% on BB/HBP/hit rates (4.5 yr older than average).

Result: wOBA .570 → .393; ISO .333 → .224; BABIP .571 → .419. 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 AAALouisville Bats · 329 PAwOBA .373 → .324 (−49)K% 24.6% → 31.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.62%	÷0.952	×1.200	—	—	31.03%
BB% (unintentional) /PA	4.56%	÷0.942	×0.690	—	×1.050	3.51%
HBP% /PA	0.91%	—	×0.940	—	×1.050	0.90%
Singles /BIP	18.50%	÷1.018	×0.930	×1.023	×1.050	18.14%
Doubles /BIP	10.57%	÷0.858	×0.830	×1.023	×1.050	10.98%
Triples /BIP	1.76%	÷1.150	×0.970	×1.023	×1.050	1.60%
Home runs /BIP	7.93%	÷1.093	×0.840	—	×1.050	6.40%

Factors used: league row IL. Park (home-season share, regressed): HR 119, 1B 104, 2B 72, 3B 130, K 90, BB 88 — applied at half strength. Age: age 23 vs a level average of 27.2 → +5.0% on BB/HBP/hit rates (4.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.023.

Result: wOBA .373 → .324; ISO .279 → .230; BABIP .332 → .325. 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 AACarolina Mudcats · 464 PAwOBA .345 → .312 (−33)K% 19.6% → 23.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.61%	÷1.000	×1.220	—	—	23.93%
BB% (unintentional) /PA	3.45%	÷1.000	×0.680	—	×1.042	2.44%
HBP% /PA	0.86%	—	×0.840	—	×1.042	0.75%
Singles /BIP	21.10%	÷1.000	×0.920	×1.035	×1.042	20.93%
Doubles /BIP	7.51%	÷1.000	×0.910	×1.035	×1.042	7.37%
Triples /BIP	0.58%	÷1.000	×0.880	×1.035	×1.042	0.55%
Home runs /BIP	6.36%	÷1.000	×0.800	—	×1.042	5.30%

Factors used: league row SL. 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 ×1.035.

Result: wOBA .345 → .312; ISO .220 → .189; BABIP .309 → .302. 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 AAALouisville Bats · 99 PAwOBA .416 → .385 (−32)K% 24.2% → 29.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.24%	÷1.000	×1.200	—	—	29.09%
BB% (unintentional) /PA	3.03%	÷1.000	×0.690	—	×1.050	2.20%
HBP% /PA	1.01%	—	×0.940	—	×1.050	1.00%
Singles /BIP	32.35%	÷1.000	×0.930	×1.017	×1.050	32.13%
Doubles /BIP	7.35%	÷1.000	×0.830	×1.017	×1.050	6.52%
Triples /BIP	1.47%	÷1.000	×0.970	×1.017	×1.050	1.52%
Home runs /BIP	7.35%	÷1.000	×0.840	—	×1.050	6.49%

Factors used: league row IL. 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 27.2 → +5.0% on BB/HBP/hit rates (5.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.017.

Result: wOBA .416 → .385; ISO .239 → .211; BABIP .431 → .416. 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 A+Sarasota Reds · 541 PAwOBA .336 → .288 (−48)K% 22.7% → 32.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.74%	÷1.000	×1.420	—	—	32.28%
BB% (unintentional) /PA	2.59%	÷1.000	×0.750	—	×1.027	1.99%
HBP% /PA	0.37%	—	×0.930	—	×1.027	0.35%
Singles /BIP	20.61%	÷1.000	×0.920	×1.028	×1.027	20.02%
Doubles /BIP	8.65%	÷1.000	×0.960	×1.028	×1.027	8.77%
Triples /BIP	1.27%	÷1.000	×0.810	×1.028	×1.027	1.09%
Home runs /BIP	5.85%	÷1.000	×0.880	—	×1.027	5.29%

Factors used: league row FSL. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 21 vs a level average of 22.8 → +2.7% on BB/HBP/hit rates (1.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.028.

Result: wOBA .336 → .288; ISO .219 → .184; BABIP .321 → .312. 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 — .