Jorge Flores

PosSS

B/TR/R

Born1991-11-25

Age (2027)35

No MLB projection yet. Career stats below are historical.

Overview

INTLPROSPECT

MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR
2024	32	INTLAlgodoneros d…	239	.281/.371/.355	2	5	106	—
2025	33	INTLAlgodoneros d…	183	.282/.406/.389	1	4	129	—
2026	34	INTLAlgodoneros d…	48	.250/.333/.300	0	1	74	—

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)
2013	21	A+	Dunedin Blue Jays	—	65	57	11	5	1	0	6	6	2	1	2	193	292	316	608	123	216	9	9	280	48	—	—	—	—	—	—
2013	21	A	Lansing Lugnuts	—	226	194	48	17	1	1	23	30	7	8	7	247	348	361	709	113	288	13	10	323	64	—	—	—	—	—	—
2013	21	INTL	Naranjeros de Hermosillo	—	23	22	4	0	0	0	1	5	0	1	2	182	217	182	399		235	22	4	188	13	—	—	—	—	—	—
2014	22	AA	New Hampshire Fisher Cats	—	222	205	60	8	1	0	11	27	3	5	5	293	338	341	679	49	337	12	5	306	78	—	—	—	—	—	—
2014	22	A+	Dunedin Blue Jays	—	118	104	32	6	0	0	8	10	3	4	2	308	374	365	739	58	340	8	7	331	86	—	—	—	—	—	—
2014	22	INTL	Naranjeros de Hermosillo	—	234	209	47	7	1	1	12	40	5	7	5	225	283	282	565	57	272	17	5	253	57	—	—	—	—	—	—
2015	23	AA	New Hampshire Fisher Cats	—	461	395	109	20	1	2	47	63	6	10	11	276	362	347	708	71	322	14	10	318	80	—	—	—	—	—	—
2015	23	INTL	Naranjeros de Hermosillo	—	206	164	39	6	1	0	28	31	3	2	5	238	359	287	646	49	293	15	14	291	83	—	—	—	—	—	—
2016	24	AA	New Hampshire Fisher Cats	—	292	252	47	8	0	2	21	38	6	4	6	187	265	242	507	56	206	13	7	229	28	—	—	—	—	—	—
2016	24	A+	Dunedin Blue Jays	—	132	118	31	7	2	1	11	20	0	5	2	263	326	381	707	119	309	15	8	310	53	—	—	—	—	—	—
2016	24	INTL	Naranjeros de Hermosillo	—	232	201	48	7	0	3	20	44	3	3	1	239	317	318	635	80	290	19	9	284	78	—	—	—	—	—	—
2017	25	AAA	Lehigh Valley IronPigs	—	56	50	13	2	0	0	3	15	1	0	0	260	315	300	615	40	351	27	5	274	46	—	—	—	—	—	—
2017	25	AA	Reading Fightin Phils	—	30	26	6	2	0	0	1	7	0	0	0	231	259	308	567	77	286	23	3	230	42	—	—	—	—	—	—
2017	25	A+	Visalia Rawhide	—	113	102	22	2	1	4	9	14	0	2	1	216	279	373	652	157	212	12	8	286	42	—	—	—	—	—	—
2017	25	INTL	Naranjeros de Hermosillo	—	246	201	58	11	0	0	27	47	13	8	4	289	407	343	750	55	374	19	11	346	120	—	—	—	—	—	—
2018	26	INTL	Mayos de Navojoa	—	135	111	29	6	1	1	14	17	4	2	5	261	364	360	725	99	298	13	10	319	102	—	—	—	—	—	—
2019	27	AAA	Leones de Yucatan	—	485	381	110	12	0	5	58	71	20	13	11	289	410	360	769	71	343	15	12	340	89	—	—	—	—	—	—
2019	27	INTL	Mayos de Navojoa	—	161	133	38	5	2	1	19	28	3	6	4	286	387	376	763	90	349	17	12	338	115	—	—	—	—	—	—
2020	28	INTL	Mayos de Navojoa	—	246	193	47	10	1	1	34	41	4	13	5	244	368	321	689	78	293	17	14	304	92	—	—	—	—	—	—
2021	29	INTL	Mayos de Navojoa	—	273	227	60	11	0	4	29	41	5	9	7	264	360	366	726	101	303	15	11	319	102	—	—	—	—	—	—
2022	30	INTL	Algodoneros de Guasave	—	242	204	53	10	0	2	29	33	4	9	4	260	363	338	701	78	298	14	12	319	102	—	—	—	—	—	—
2023	31	INTL	Algodoneros de Guasave	—	255	214	54	12	3	2	33	46	5	9	3	252	365	364	730	112	311	18	13	332	111	—	—	—	—	—	—
2024	32	INTL	Algodoneros de Guasave	—	239	203	57	7	1	2	26	38	3	5	3	281	371	355	725	74	333	16	11	325	106	—	—	—	—	—	—
2025	33	INTL	Algodoneros de Guasave	—	183	149	42	11	1	1	28	34	3	4	2	282	406	389	795	107	357	19	15	360	129	—	—	—	—	—	—
2026	34	INTL	Algodoneros de Guasave	—	48	40	10	2	0	0	4	12	1	1	2	250	333	300	633	50	345	25	8	278	74	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2013	21	A+ MLE	Dunedin Blue Jays	—	65	59	10	5	1	0	4	8	2	1	2	169	246	288	534	119	200	12	6	239	48	—	—	—	—	—	—
2013	21	A MLE	Lansing Lugnuts	—	226	202	44	15	1	1	15	41	7	8	7	218	295	317	611	99	260	18	7	263	64	—	—	—	—	—	—
2014	22	AA MLE	New Hampshire Fisher Cats	—	222	208	60	8	1	0	8	34	3	5	5	288	324	337	661	48	333	15	4	283	78	—	—	—	—	—	—
2014	22	A+ MLE	Dunedin Blue Jays	—	118	106	30	5	0	0	6	14	3	4	2	283	339	330	669	47	318	12	5	295	86	—	—	—	—	—	—
2015	23	AA MLE	New Hampshire Fisher Cats	—	461	410	109	17	1	1	32	80	6	10	11	266	328	320	648	54	314	17	7	286	80	—	—	—	—	—	—
2016	24	AA MLE	New Hampshire Fisher Cats	—	292	260	49	8	0	1	13	48	6	4	6	188	244	231	474	42	206	16	4	210	28	—	—	—	—	—	—
2016	24	A+ MLE	Dunedin Blue Jays	—	132	121	26	6	1	1	8	30	0	5	2	215	264	306	569	91	271	23	6	247	53	—	—	—	—	—	—
2017	25	AAA MLE	Lehigh Valley IronPigs	—	56	51	12	2	0	0	2	19	1	0	0	235	278	275	552	39	314	34	4	236	46	—	—	—	—	—	—
2017	25	AA MLE	Reading Fightin Phils	—	30	26	6	2	0	0	1	8	0	0	0	231	259	308	567	77	265	27	3	231	42	—	—	—	—	—	—
2017	25	A+ MLE	Visalia Rawhide	—	113	105	19	2	1	3	6	20	0	2	1	181	225	305	530	124	184	18	5	231	42	—	—	—	—	—	—
2019	27	AAA MLE	Leones de Yucatan	—	485	399	107	11	0	5	40	84	20	13	11	268	364	333	697	65	302	17	8	300	89	—	—	—	—	—	—
2013	21	A MLE	3 teams	—	314	282	58	21	2	1	21	53	9	10	11	206	282	305	587	99	250	17	7	258	61	—	—	—	—	—	—
2013	21	A RAW	3 teams	—	314	273	63	22	2	1	30	41	9	10	11	231	327	337	664	106	268	13	10	304	61	—	—	—	—	—	—
2014	22	INTL MLE	3 teams	—	574	526	152	22	2	0	23	80	11	16	12	289	332	338	671	49	340	14	4	287	80	—	—	—	—	—	—
2014	22	INTL RAW	3 teams	—	574	518	139	21	2	1	31	77	11	16	12	268	323	322	646	54	313	13	5	289	80	—	—	—	—	—	—
2015	23	AA MLE	2 teams	—	667	587	158	25	1	2	47	116	9	12	16	269	333	325	658	56	331	17	7	286	80	—	—	—	—	—	—
2015	23	AA RAW	2 teams	—	667	559	148	26	2	2	75	94	9	12	16	265	361	329	690	64	314	14	11	310	80	—	—	—	—	—	—
2016	24	AA MLE	3 teams	—	656	591	116	21	2	3	32	120	9	12	9	196	248	254	502	58	238	18	5	222	36	—	—	—	—	—	—
2016	24	AA RAW	3 teams	—	656	571	126	22	2	6	52	102	9	12	9	221	296	298	594	77	255	16	8	265	36	—	—	—	—	—	—
2017	25	INTL MLE	4 teams	—	445	399	82	12	2	8	20	105	14	10	5	206	268	306	574	100	253	24	4	232	43	—	—	—	—	—	—
2017	25	INTL RAW	4 teams	—	445	379	99	17	1	4	40	83	14	10	5	261	353	343	696	82	319	19	9	314	43	—	—	—	—	—	—
2018	26	INTL MLE	Mayos de Navojoa	—	135	111	29	6	1	1	14	17	4	2	5	261	364	360	725	99	298	13	10	—	—	—	—	—	—	—	—
2018	26	INTL RAW	Mayos de Navojoa	—	135	111	29	6	1	1	14	17	4	2	5	261	364	360	725	99	298	13	10	319	102	—	—	—	—	—	—
2019	27	AAA MLE	2 teams	—	646	537	142	15	0	6	54	112	23	19	15	264	357	326	683	61	322	17	8	300	89	—	—	—	—	—	—
2019	27	AAA RAW	2 teams	—	646	514	148	17	2	6	77	99	23	19	15	288	404	364	768	76	345	15	12	340	89	—	—	—	—	—	—
2020	28	INTL MLE	Mayos de Navojoa	—	246	193	47	10	1	1	34	41	4	13	5	244	368	321	689	78	293	17	14	—	—	—	—	—	—	—	—
2020	28	INTL RAW	Mayos de Navojoa	—	246	193	47	10	1	1	34	41	4	13	5	244	368	321	689	78	293	17	14	304	92	—	—	—	—	—	—
2021	29	INTL MLE	Mayos de Navojoa	—	273	227	60	11	0	4	29	41	5	9	7	264	360	366	726	101	303	15	11	—	—	—	—	—	—	—	—
2021	29	INTL RAW	Mayos de Navojoa	—	273	227	60	11	0	4	29	41	5	9	7	264	360	366	726	101	303	15	11	319	102	—	—	—	—	—	—
2022	30	INTL MLE	Algodoneros de Guasave	—	242	204	53	10	0	2	29	33	4	9	4	260	363	338	701	78	298	14	12	—	—	—	—	—	—	—	—
2022	30	INTL RAW	Algodoneros de Guasave	—	242	204	53	10	0	2	29	33	4	9	4	260	363	338	701	78	298	14	12	319	102	—	—	—	—	—	—
2023	31	INTL MLE	Algodoneros de Guasave	—	255	214	54	12	3	2	33	46	5	9	3	252	365	364	730	112	311	18	13	—	—	—	—	—	—	—	—
2023	31	INTL RAW	Algodoneros de Guasave	—	255	214	54	12	3	2	33	46	5	9	3	252	365	364	730	112	311	18	13	332	111	—	—	—	—	—	—
2024	32	INTL MLE	Algodoneros de Guasave	—	239	203	57	7	1	2	26	38	3	5	3	281	371	355	725	74	333	16	11	—	—	—	—	—	—	—	—
2024	32	INTL RAW	Algodoneros de Guasave	—	239	203	57	7	1	2	26	38	3	5	3	281	371	355	725	74	333	16	11	325	106	—	—	—	—	—	—
2025	33	INTL MLE	Algodoneros de Guasave	—	183	149	42	11	1	1	28	34	3	4	2	282	406	389	795	107	357	19	15	—	—	—	—	—	—	—	—
2025	33	INTL RAW	Algodoneros de Guasave	—	183	149	42	11	1	1	28	34	3	4	2	282	406	389	795	107	357	19	15	360	129	—	—	—	—	—	—
2026	34	INTL MLE	Algodoneros de Guasave	—	48	40	10	2	0	0	4	12	1	1	2	250	333	300	633	50	345	25	8	—	—	—	—	—	—	—	—
2026	34	INTL RAW	Algodoneros de Guasave	—	48	40	10	2	0	0	4	12	1	1	2	250	333	300	633	50	345	25	8	278	74	—	—	—	—	—	—
2013	21	A MLE	3 teams	—	314	281	58	21	2	1	21	53	9	10	11	206	282	306	588	100	247	17	7	258	61	—	—	—	—	—	—
2014	22	INTL MLE	3 teams	—	574	535	152	22	2	0	23	80	11	16	12	284	332	333	665	49	328	14	4	287	80	—	—	—	—	—	—
2015	23	AA MLE	2 teams	—	667	606	158	25	1	2	47	116	9	12	16	261	333	315	648	54	314	17	7	286	80	—	—	—	—	—	—
2016	24	AA MLE	3 teams	—	656	610	116	21	2	3	32	120	9	12	9	190	248	246	494	56	226	18	5	222	36	—	—	—	—	—	—
2017	25	INTL MLE	4 teams	—	445	408	82	12	2	8	20	105	14	10	5	201	268	299	567	98	233	24	4	232	43	—	—	—	—	—	—
2019	27	AAA MLE	2 teams	—	646	564	142	15	0	6	54	112	23	19	15	252	357	310	667	59	302	17	8	300	89	—	—	—	—	—	—
▸ Career Totals
Career	—	MLE		—	4923	4263	1060	185	16	33	394	848	104	131	99	249	327	323	650	74	300	17	8	179	7	-545	-13	+0	+53	+107	-40.7
/ 162G	—	MLE		—	650	563	139	24	2	4	52	112	14	17	13	247	326	318	644	71	299	17	8	179	7	-72	-2	+0	+7	+14	-5.4

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.

2019 AAALeones de Yucatan · 485 PAwOBA .333 → .300 (−34)K% 14.6% → 17.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.64%	÷1.018	×1.200	—	—	17.26%
BB% (unintentional) /PA	11.96%	÷0.986	×0.690	—	×0.992	8.30%
HBP% /PA	4.12%	—	×0.940	—	×0.992	3.85%
Singles /BIP	30.00%	÷0.992	×0.930	×0.950	×0.992	26.50%
Doubles /BIP	3.87%	÷0.910	×0.830	×0.950	×0.992	3.33%
Triples /BIP	0.00%	÷1.150	×0.920	×0.950	×0.992	0.00%
Home runs /BIP	1.61%	÷0.792	×0.700	—	×0.992	1.41%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 58, 1B 98, 2B 82, 3B 130, K 104, BB 97 — 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 ×0.950.

Result: wOBA .333 → .300; ISO .071 → .068; BABIP .343 → .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).

2017 A+Visalia Rawhide · 113 PAwOBA .281 → .231 (−50)K% 12.4% → 17.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.39%	÷0.952	×1.340	—	—	17.43%
BB% (unintentional) /PA	7.96%	÷0.996	×0.710	—	×0.968	5.50%
HBP% /PA	0.00%	—	×0.790	—	×0.968	0.00%
Singles /BIP	17.05%	÷1.016	×0.910	×1.025	×0.968	15.14%
Doubles /BIP	2.27%	÷1.038	×0.820	×1.025	×0.968	1.78%
Triples /BIP	1.14%	÷0.900	×0.760	×1.025	×0.968	0.95%
Home runs /BIP	4.55%	÷1.048	×0.920	—	×0.968	3.86%

Factors used: league row CAL. Park (home-season share, regressed): HR 110, 1B 103, 2B 108, 3B 80, K 90, BB 99 — applied at half strength. Age: age 26 vs a level average of 22.8 → −3.2% on BB/HBP/hit rates (3.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.025.

Result: wOBA .281 → .231; ISO .157 → .130; BABIP .212 → .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).

2017 AAALehigh Valley IronPigs · 56 PAwOBA .277 → .236 (−41)K% 26.8% → 33.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	26.79%	÷0.961	×1.200	—	—	33.44%
BB% (unintentional) /PA	5.36%	÷1.014	×0.690	—	×1.018	3.71%
HBP% /PA	1.79%	—	×0.940	—	×1.018	1.71%
Singles /BIP	31.43%	÷1.055	×0.930	—	×1.018	28.20%
Doubles /BIP	5.71%	÷0.969	×0.830	—	×1.018	4.98%
Triples /BIP	0.00%	÷1.047	×0.970	—	×1.018	0.00%
Home runs /BIP	0.00%	÷1.043	×0.840	—	×1.018	0.00%

Factors used: league row IL. Park (home-season share, regressed): HR 109, 1B 111, 2B 94, 3B 109, K 92, 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).

Result: wOBA .277 → .236; ISO .040 → .034; BABIP .351 → .314. 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 AAReading Fightin Phils · 30 PAwOBA .239 → .231 (−8)K% 23.3% → 28.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.33%	÷1.012	×1.220	—	—	28.12%
BB% (unintentional) /PA	3.33%	÷1.045	×0.700	—	×0.988	2.21%
HBP% /PA	0.00%	—	×0.850	—	×0.988	0.00%
Singles /BIP	21.05%	÷1.013	×0.970	—	×0.988	19.92%
Doubles /BIP	10.53%	÷0.986	×0.860	—	×0.988	9.07%
Triples /BIP	0.00%	÷1.063	×0.950	—	×0.988	0.00%
Home runs /BIP	0.00%	÷1.220	×0.780	—	×0.988	0.00%

Factors used: league row EL. Park (home-season share, regressed): HR 144, 1B 103, 2B 97, 3B 113, K 102, BB 109 — applied at half strength. Age: age 26 vs a level average of 24.8 → −1.2% on BB/HBP/hit rates (1.2 yr older than average).

Result: wOBA .239 → .231; ISO .077 → .073; BABIP .286 → .265. 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 AANew Hampshire Fisher Cats · 292 PAwOBA .227 → .210 (−17)K% 13.0% → 16.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.01%	÷0.969	×1.220	—	—	16.39%
BB% (unintentional) /PA	6.85%	÷1.079	×0.700	—	×0.998	4.43%
HBP% /PA	2.05%	—	×0.850	—	×0.998	1.74%
Singles /BIP	17.29%	÷0.995	×0.970	×1.050	×0.998	17.67%
Doubles /BIP	3.74%	÷1.000	×0.860	×1.050	×0.998	3.37%
Triples /BIP	0.00%	÷1.031	×0.950	×1.050	×0.998	0.00%
Home runs /BIP	0.93%	÷1.292	×0.780	—	×0.998	0.56%

Factors used: league row EL. Park (home-season share, regressed): HR 158, 1B 99, 2B 100, 3B 106, K 94, BB 116 — 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 .227 → .210; ISO .056 → .045; BABIP .206 → .206. 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 A+Dunedin Blue Jays · 132 PAwOBA .302 → .247 (−55)K% 15.2% → 22.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.15%	÷0.955	×1.420	—	—	22.54%
BB% (unintentional) /PA	8.33%	÷1.038	×0.750	—	×0.978	5.89%
HBP% /PA	0.00%	—	×0.930	—	×0.978	0.00%
Singles /BIP	21.43%	÷1.042	×0.920	×1.024	×0.978	18.94%
Doubles /BIP	7.14%	÷1.064	×0.960	×1.024	×0.978	6.45%
Triples /BIP	2.04%	÷1.150	×0.810	×1.024	×0.978	1.44%
Home runs /BIP	1.02%	÷0.912	×0.880	—	×0.978	0.96%

Factors used: league row FSL. Park (home-season share, regressed): HR 82, 1B 108, 2B 113, 3B 130, K 91, BB 108 — applied at half strength. Age: age 25 vs a level average of 22.8 → −2.2% on BB/HBP/hit rates (2.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.024.

Result: wOBA .302 → .247; ISO .119 → .098; BABIP .309 → .271. 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 AANew Hampshire Fisher Cats · 461 PAwOBA .311 → .286 (−26)K% 13.7% → 17.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.67%	÷0.960	×1.220	—	—	17.37%
BB% (unintentional) /PA	10.20%	÷1.026	×0.700	—	×1.012	7.04%
HBP% /PA	1.30%	—	×0.850	—	×1.012	1.12%
Singles /BIP	25.90%	÷0.996	×0.970	×1.026	×1.012	26.18%
Doubles /BIP	6.02%	÷1.064	×0.860	×1.026	×1.012	5.06%
Triples /BIP	0.30%	÷1.150	×0.950	×1.026	×1.012	0.26%
Home runs /BIP	0.60%	÷1.130	×0.780	—	×1.012	0.42%

Factors used: league row EL. Park (home-season share, regressed): HR 126, 1B 99, 2B 113, 3B 130, K 92, BB 105 — 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 ×1.026.

Result: wOBA .311 → .286; ISO .071 → .059; BABIP .322 → .314. 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 AANew Hampshire Fisher Cats · 222 PAwOBA .298 → .283 (−15)K% 12.2% → 15.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.16%	÷0.976	×1.220	—	—	15.20%
BB% (unintentional) /PA	4.95%	÷1.062	×0.700	—	×1.027	3.35%
HBP% /PA	1.35%	—	×0.850	—	×1.027	1.18%
Singles /BIP	28.65%	÷1.012	×0.970	×1.011	×1.027	28.51%
Doubles /BIP	4.49%	÷0.952	×0.860	×1.011	×1.027	4.21%
Triples /BIP	0.56%	÷0.921	×0.950	×1.011	×1.027	0.60%
Home runs /BIP	0.00%	÷1.066	×0.780	—	×1.027	0.00%

Factors used: league row EL. Park (home-season share, regressed): HR 113, 1B 102, 2B 90, 3B 84, K 95, BB 112 — 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 ×1.011.

Result: wOBA .298 → .283; ISO .049 → .047; BABIP .337 → .333. 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 — .