Franklin Barreto

Pos2B

B/TR/R

Born1996-02-27

Age (2027)31

No MLB projection yet. Career stats below are historical.

Overview

INTL

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR
2024	28	INTLTiburones de …	66	.309/.406/.418	1	3	132	—
2025	29	INTLTiburones de …	169	.292/.355/.468	6	4	133	—
2026	30	INTLTiburones de …	31	.077/.226/.077	0	2	3	—

Contract

No contract data on file.

Skills · percentileStatcast 2018-2020

Barrel%59

Avg EV54

Speed42

xwOBA10

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	17	ROK	Bluefield Blue Jays	—	252	228	63	21	7	4	15	56	8	10	6	276	343	482	825	206	351	22	6	361	58	—	—	—	—	—	—
2015	19	A+	Stockton Ports	—	364	338	102	22	3	13	15	67	4	8	3	302	339	500	839	198	337	18	4	361	87	—	—	—	—	—	—
2015	19	INTL	Aguilas del Zulia	—	104	93	17	3	0	2	7	25	2	5	2	183	255	280	534	97	221	24	7	243	50	—	—	—	—	—	—
2016	20	AAA	Nashville Sounds	—	18	17	6	0	1	1	0	4	1	0	2	353	389	647	1.036	294	417	22	0	447	135	—	—	—	—	—	—
2016	20	AA	Midland RockHounds	—	507	462	130	25	3	10	36	90	6	30	15	281	341	413	755	132	330	18	7	336	71	—	—	—	—	—	—
2016	20	INTL	Mesa Solar Sox	—	93	88	23	6	0	0	2	21	2	3	2	261	293	330	623	68	338	23	2	279	75	—	—	—	—	—	—
2017	21	MLB	Oakland Athletics	—	76	71	14	1	2	2	5	33	0	2	0	197	250	352	602	155	333	43	7	267	71	-3	+0	-5	+6	+2	0.1
2017	21	AAA	Nashville Sounds	—	510	469	136	19	7	15	27	141	9	15	8	290	341	456	797	166	384	28	5	350	81	—	—	—	—	—	—
2018	22	MLB	Oakland Athletics	—	75	73	17	4	0	5	1	29	1	0	0	233	253	493	746	260	308	39	1	323	113	+1	+0	+1	+2	+2	0.6
2018	22	AAA	Nashville Sounds	—	333	282	73	16	1	18	39	106	7	5	2	259	363	514	877	255	337	32	12	379	94	—	—	—	—	—	—
2018	22	INTL	Tigres de Aragua	—	228	199	70	12	1	7	20	35	5	7	1	352	424	528	952	176	391	15	9	414	167	—	—	—	—	—	—
2019	23	MLB	Oakland Athletics	—	58	57	7	2	0	2	1	23	0	1	0	123	138	263	401	140	156	40	2	175	9	-6	+0	-2	+2	+1	-0.5
2019	23	AAA	Las Vegas Aviators	—	424	373	110	29	5	19	42	113	6	15	1	295	375	552	928	257	374	27	10	401	88	—	—	—	—	—	—
2020	24	MLB	Los Angeles Angels	—	28	27	2	0	0	0	0	15	1	1	0	74	107	74	181		167	54	0	91	-52	-5	+0	-0	+0	+1	-0.5
2022	26	AAA	Sugar Land Space Cowboys	—	274	241	39	7	1	6	30	102	2	11	4	162	260	274	534	112	246	37	11	249	16	—	—	—	—	—	—
2022	26	INTL	Tiburones de La Guaira	—	209	189	60	16	5	3	16	47	1	4	3	317	374	503	876	185	404	22	8	380	143	—	—	—	—	—	—
2023	27	AAA	Rochester Red Wings	—	111	99	20	4	0	7	9	29	2	2	0	202	282	455	736	253	206	26	8	321	39	—	—	—	—	—	—
2023	27	INTL	Venezuela	—	106	93	24	5	0	1	10	30	0	5	1	258	330	344	674	86	359	28	9	300	89	—	—	—	—	—	—
2024	28	INTL	Tiburones de La Guaira	—	66	55	17	3	0	1	9	11	0	3	1	309	406	418	824	109	364	17	14	363	132	—	—	—	—	—	—
2025	29	INTL	Tiburones de La Guaira	—	169	154	45	9	0	6	14	38	1	4	3	292	355	468	823	175	355	22	8	365	133	—	—	—	—	—	—
2026	30	INTL	Tiburones de La Guaira	—	31	26	2	0	0	0	4	8	1	2	0	77	226	77	303		111	26	13	172	3	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	237	228	40	7	2	9	7	100	2	4	0	175	207	342	549	167	261	42	3	241	50	-14	+1	-6	+10	+5	-0.4
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2013	17	ROK MLE	Bluefield Blue Jays	—	252	233	46	14	5	3	10	80	8	10	6	197	255	339	594	142	283	32	4	254	58	—	—	—	—	—	—
2015	19	A+ MLE	Stockton Ports	—	364	342	91	18	3	7	11	84	4	8	3	266	297	398	695	132	316	23	3	297	87	—	—	—	—	—	—
2016	20	AAA MLE	Nashville Sounds	—	18	17	5	0	1	1	0	5	1	0	2	294	333	588	922	294	373	28	0	367	135	—	—	—	—	—	—
2016	20	AA MLE	Midland RockHounds	—	507	474	113	20	2	8	24	119	6	30	15	238	284	340	623	101	297	23	5	273	71	—	—	—	—	—	—
2017	21	MLB MLE	Oakland Athletics	—	76	71	14	1	2	2	5	33	0	2	0	197	250	352	602	155	333	43	7	273	71	-3	+0	-5	+6	+2	0.1
2017	21	AAA MLE	Nashville Sounds	—	510	479	116	14	6	13	17	182	9	15	8	242	281	378	659	136	357	36	3	288	81	—	—	—	—	—	—
2018	22	MLB MLE	Oakland Athletics	—	75	73	17	4	0	5	1	29	1	0	0	233	253	493	746	260	308	39	1	335	113	+1	+0	+1	+2	+2	0.6
2018	22	AAA MLE	Nashville Sounds	—	333	291	61	13	1	14	30	130	7	5	2	210	299	405	704	196	298	39	9	307	94	—	—	—	—	—	—
2019	23	MLB MLE	Oakland Athletics	—	58	57	7	2	0	2	1	23	0	1	0	123	138	263	401	140	156	40	2	181	9	-6	+0	-2	+2	+1	-0.5
2019	23	AAA MLE	Las Vegas Aviators	—	424	383	85	23	3	13	32	147	6	15	1	222	292	399	692	178	316	35	8	299	88	—	—	—	—	—	—
2020	24	MLB MLE	Los Angeles Angels	—	28	27	2	0	0	0	0	15	1	1	0	74	107	74	181		167	54	0	91	-52	-5	+0	-0	+0	+1	-0.5
2022	26	AAA MLE	Sugar Land Space Cowboys	—	274	249	32	6	1	4	22	124	2	11	4	129	205	209	414	80	227	45	8	192	16	—	—	—	—	—	—
2023	27	AAA MLE	Rochester Red Wings	—	111	101	15	3	0	4	7	36	2	2	0	149	218	297	515	149	168	32	6	226	39	—	—	—	—	—	—
2013	17	ROK MLE	Bluefield Blue Jays	—	252	233	46	14	5	3	10	80	8	10	6	197	255	339	594	142	287	32	4	254	58	—	—	—	—	—	—
2013	17	ROK RAW	Bluefield Blue Jays	—	252	228	63	21	7	4	15	56	8	10	6	276	343	482	825	206	351	22	6	361	58	—	—	—	—	—	—
2015	19	A+ MLE	2 teams	—	468	438	116	23	3	9	15	108	6	13	5	265	298	393	691	128	325	23	3	297	87	—	—	—	—	—	—
2015	19	A+ RAW	2 teams	—	468	431	119	25	3	15	22	92	6	13	5	276	320	452	773	176	313	20	5	335	87	—	—	—	—	—	—
2016	20	AA MLE	3 teams	—	618	576	139	23	4	11	29	146	9	33	19	241	288	352	641	111	303	24	5	276	73	—	—	—	—	—	—
2016	20	AA RAW	3 teams	—	618	567	159	31	4	11	38	115	9	33	19	280	336	407	743	127	333	19	6	331	73	—	—	—	—	—	—
2017	21	AAA MLE	2 teams	—	586	550	130	15	8	15	22	215	9	17	8	236	277	375	652	138	357	37	4	286	80	—	—	—	—	—	—
2017	21	AAA RAW	2 teams	—	586	540	150	20	9	17	32	174	9	17	8	278	329	443	771	165	379	30	5	339	80	—	—	—	—	—	—
2018	22	AAA MLE	3 teams	—	636	566	123	27	1	31	48	247	13	12	3	217	293	433	726	216	310	39	8	312	97	—	—	—	—	—	—
2018	22	AAA RAW	3 teams	—	636	554	160	32	2	30	60	170	13	12	3	289	372	516	888	227	358	27	9	385	97	—	—	—	—	—	—
2019	23	AAA MLE	2 teams	—	482	440	92	25	3	15	33	170	6	16	1	209	273	382	655	173	300	35	7	285	79	—	—	—	—	—	—
2019	23	AAA RAW	2 teams	—	482	430	117	31	5	21	43	136	6	16	1	272	347	514	861	242	349	28	9	374	79	—	—	—	—	—	—
2020	24	MLB MLE	Los Angeles Angels	—	28	27	2	0	0	0	0	15	1	1	0	74	107	74	181		167	54	0	91	-52	-5	+0	-0	+0	+1	-0.5
2020	24	MLB RAW	Los Angeles Angels	—	28	27	2	0	0	0	0	15	1	1	0	74	107	74	181		167	54	0	91	-52	-5	+0	-0	+0	+1	-0.5
2022	26	AAA MLE	2 teams	—	483	437	57	10	2	7	39	219	3	15	7	130	207	211	417	80	234	45	8	192	16	—	—	—	—	—	—
2022	26	AAA RAW	2 teams	—	483	430	99	23	6	9	46	149	3	15	7	230	309	374	683	144	327	31	10	305	16	—	—	—	—	—	—
2023	27	AAA MLE	2 teams	—	217	198	29	5	0	9	13	69	2	7	1	146	207	308	515	162	164	32	6	226	39	—	—	—	—	—	—
2023	27	AAA RAW	2 teams	—	217	192	44	9	0	8	19	59	2	7	1	229	305	401	706	172	283	27	9	310	39	—	—	—	—	—	—
2024	28	INTL MLE	Tiburones de La Guaira	—	66	55	17	3	0	1	9	11	0	3	1	309	406	418	824	109	364	17	14	—	—	—	—	—	—	—	—
2024	28	INTL RAW	Tiburones de La Guaira	—	66	55	17	3	0	1	9	11	0	3	1	309	406	418	824	109	364	17	14	363	132	—	—	—	—	—	—
2025	29	INTL MLE	Tiburones de La Guaira	—	169	154	45	9	0	6	14	38	1	4	3	292	355	468	823	175	355	22	8	—	—	—	—	—	—	—	—
2025	29	INTL RAW	Tiburones de La Guaira	—	169	154	45	9	0	6	14	38	1	4	3	292	355	468	823	175	355	22	8	365	133	—	—	—	—	—	—
2026	30	INTL MLE	Tiburones de La Guaira	—	31	26	2	0	0	0	4	8	1	2	0	77	226	77	303		111	26	13	—	—	—	—	—	—	—	—
2026	30	INTL RAW	Tiburones de La Guaira	—	31	26	2	0	0	0	4	8	1	2	0	77	226	77	303		111	26	13	172	3	—	—	—	—	—	—
2013	17	ROK MLE	Bluefield Blue Jays	—	252	232	46	14	5	3	10	80	8	10	6	198	255	341	595	142	283	32	4	254	58	—	—	—	—	—	—
2015	19	A+ MLE	2 teams	—	468	444	116	23	3	9	15	108	6	13	5	261	298	387	686	126	316	23	3	297	87	—	—	—	—	—	—
2016	20	AA MLE	3 teams	—	618	575	139	23	4	11	29	146	9	33	19	242	288	353	641	111	300	24	5	276	73	—	—	—	—	—	—
2017	21	AAA MLE	2 teams	—	586	550	130	15	8	15	22	215	9	17	8	236	277	375	652	138	354	37	4	286	80	—	—	—	—	—	—
2018	22	AAA MLE	3 teams	—	636	570	123	27	1	31	48	247	13	12	3	216	293	430	723	214	300	39	8	312	97	—	—	—	—	—	—
2019	23	AAA MLE	2 teams	—	482	440	92	25	3	15	33	170	6	16	1	209	273	382	655	173	297	35	7	285	79	—	—	—	—	—	—
2020	24	MLB MLE	Los Angeles Angels	—	28	27	2	0	0	0	0	15	1	1	0	74	107	74	181		167	54	0	91	-52	—	—	—	—	—	—
2022	26	AAA MLE	2 teams	—	483	438	57	10	2	7	39	219	3	15	7	130	207	210	417	80	227	45	8	192	16	—	—	—	—	—	—
2023	27	AAA MLE	2 teams	—	217	200	29	5	0	9	13	69	2	7	1	145	207	305	512	160	168	32	6	226	39	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	237	228	40	7	2	9	7	100	2	4	0	175	207	342	549	167	261	42	3	241	57	-14	+1	-6	+10	+5	-0.4
/ 162G	—	A+C		—	650	625	109	19	5	25	19	274	5	11	0	174	205	341	545	166	258	42	3	241	57	-39	+2	-17	+28	+14	-1.1
Career	—	MLE		—	4036	3700	798	154	26	107	236	1326	59	133	54	216	274	358	632	142	301	33	6	253	57	-14	+1	-6	+10	+5	-0.4
/ 162G	—	MLE		—	650	596	128	25	4	17	38	214	10	21	9	215	274	356	629	141	300	33	6	253	57	-39	+2	-17	+28	+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.

2023 AAARochester Red Wings · 111 PAwOBA .312 → .226 (−86)K% 26.1% → 32.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	26.13%	÷0.980	×1.200	—	—	31.99%
BB% (unintentional) /PA	8.11%	÷0.956	×0.690	—	×1.003	5.87%
HBP% /PA	1.80%	—	×0.940	—	×1.003	1.70%
Singles /BIP	12.86%	÷0.996	×0.930	×0.969	×1.003	11.67%
Doubles /BIP	5.71%	÷1.137	×0.830	×0.969	×1.003	4.05%
Triples /BIP	0.00%	÷1.150	×0.970	×0.969	×1.003	0.00%
Home runs /BIP	10.00%	÷1.058	×0.700	—	×1.003	6.64%

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 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 ×0.969.

Result: wOBA .312 → .226; ISO .253 → .162; BABIP .206 → .168. 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).

2022 AAASugar Land Space Cowboys · 274 PAwOBA .243 → .192 (−52)K% 37.2% → 45.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	37.23%	÷0.986	×1.200	—	—	45.29%
BB% (unintentional) /PA	10.95%	÷0.953	×0.690	—	×1.018	8.07%
HBP% /PA	0.73%	—	×0.940	—	×1.018	0.70%
Singles /BIP	17.99%	÷0.982	×0.930	×0.980	×1.018	16.98%
Doubles /BIP	5.04%	÷0.952	×0.830	×0.980	×1.018	4.38%
Triples /BIP	0.72%	÷0.900	×0.970	×0.980	×1.018	0.77%
Home runs /BIP	4.32%	÷0.917	×0.700	—	×1.018	3.35%

Factors used: league row International League. Park (home-season share, regressed): HR 83, 1B 96, 2B 90, 3B 80, K 97, BB 91 — 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 ×0.980.

Result: wOBA .243 → .192; ISO .112 → .084; BABIP .246 → .227. 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 AAALas Vegas Aviators · 424 PAwOBA .392 → .299 (−93)K% 26.7% → 34.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	26.65%	÷0.990	×1.290	—	—	34.71%
BB% (unintentional) /PA	9.91%	÷0.985	×0.710	—	×1.050	7.50%
HBP% /PA	1.42%	—	×0.980	—	×1.050	1.46%
Singles /BIP	21.92%	÷1.018	×0.900	×0.950	×1.050	19.33%
Doubles /BIP	11.15%	÷0.951	×0.810	×0.950	×1.050	9.47%
Triples /BIP	1.92%	÷1.102	×0.810	×0.950	×1.050	1.41%
Home runs /BIP	7.31%	÷1.119	×0.780	—	×1.050	5.35%

Factors used: league row PCL. Park (home-season share, regressed): HR 124, 1B 104, 2B 90, 3B 120, K 98, BB 97 — 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 ×0.950.

Result: wOBA .392 → .299; ISO .257 → .181; BABIP .374 → .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).

2018 AAANashville Sounds · 333 PAwOBA .375 → .307 (−68)K% 31.8% → 38.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	31.83%	÷1.055	×1.290	—	—	38.91%
BB% (unintentional) /PA	11.71%	÷0.966	×0.710	—	×1.050	9.04%
HBP% /PA	2.10%	—	×0.980	—	×1.050	2.16%
Singles /BIP	21.59%	÷0.986	×0.900	×0.958	×1.050	19.84%
Doubles /BIP	9.09%	÷0.937	×0.810	×0.958	×1.050	7.91%
Triples /BIP	0.57%	÷1.150	×0.810	×0.958	×1.050	0.40%
Home runs /BIP	10.23%	÷0.988	×0.780	—	×1.050	8.48%

Factors used: league row PCL. Park (home-season share, regressed): HR 98, 1B 97, 2B 87, 3B 130, K 111, BB 93 — 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 ×0.958.

Result: wOBA .375 → .307; ISO .255 → .201; BABIP .337 → .298. 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 AAANashville Sounds · 510 PAwOBA .339 → .288 (−51)K% 27.6% → 35.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	27.65%	÷1.003	×1.290	—	—	35.57%
BB% (unintentional) /PA	4.71%	÷1.029	×0.710	—	×1.050	3.41%
HBP% /PA	1.76%	—	×0.980	—	×1.050	1.82%
Singles /BIP	28.96%	÷0.984	×0.900	×0.991	×1.050	27.58%
Doubles /BIP	5.79%	÷1.021	×0.810	×0.991	×1.050	4.78%
Triples /BIP	2.13%	÷0.900	×0.810	×0.991	×1.050	2.00%
Home runs /BIP	4.57%	÷0.868	×0.780	—	×1.050	4.32%

Factors used: league row PCL. Park (home-season share, regressed): HR 74, 1B 97, 2B 104, 3B 80, K 101, BB 106 — applied at half strength. Age: age 21 vs a level average of 27.2 → +5.0% on BB/HBP/hit rates (6.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.991.

Result: wOBA .339 → .288; ISO .166 → .140; BABIP .384 → .357. 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 AAMidland RockHounds · 507 PAwOBA .328 → .273 (−55)K% 17.8% → 23.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.75%	÷0.920	×1.220	—	—	23.55%
BB% (unintentional) /PA	6.90%	÷1.062	×0.700	—	×1.050	4.78%
HBP% /PA	1.18%	—	×0.870	—	×1.050	1.08%
Singles /BIP	24.73%	÷1.022	×0.920	×0.988	×1.050	23.09%
Doubles /BIP	6.72%	÷1.075	×0.840	×0.988	×1.050	5.45%
Triples /BIP	0.81%	÷1.150	×0.940	×0.988	×1.050	0.68%
Home runs /BIP	2.69%	÷0.999	×0.800	—	×1.050	2.26%

Factors used: league row TL. Park (home-season share, regressed): HR 100, 1B 104, 2B 115, 3B 130, K 84, BB 112 — applied at half strength. Age: age 20 vs a level average of 24.8 → +5.0% on BB/HBP/hit rates (4.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.988.

Result: wOBA .328 → .273; ISO .132 → .105; BABIP .330 → .297. 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 AAANashville Sounds · 18 PAwOBA .434 → .367 (−67)K% 22.2% → 28.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.22%	÷1.004	×1.290	—	—	28.55%
BB% (unintentional) /PA	0.00%	÷0.979	×0.710	—	×1.050	0.00%
HBP% /PA	5.56%	—	×0.980	—	×1.050	5.72%
Singles /BIP	30.77%	÷1.035	×0.900	—	×1.050	28.10%
Doubles /BIP	0.00%	÷0.898	×0.810	—	×1.050	0.00%
Triples /BIP	7.69%	÷1.015	×0.810	—	×1.050	6.44%
Home runs /BIP	7.69%	÷0.856	×0.780	—	×1.050	7.36%

Factors used: league row PCL. Park (home-season share, regressed): HR 71, 1B 107, 2B 80, 3B 103, K 101, BB 96 — applied at half strength. Age: age 20 vs a level average of 27.2 → +5.0% on BB/HBP/hit rates (7.2 yr younger than average).

Result: wOBA .434 → .367; ISO .294 → .243; BABIP .417 → .373. 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 A+Stockton Ports · 364 PAwOBA .357 → .297 (−60)K% 18.4% → 23.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.41%	÷1.072	×1.340	—	—	23.00%
BB% (unintentional) /PA	4.12%	÷1.000	×0.710	—	×1.050	3.07%
HBP% /PA	1.10%	—	×0.790	—	×1.050	0.91%
Singles /BIP	23.62%	÷0.959	×0.910	×1.009	×1.050	23.72%
Doubles /BIP	8.12%	÷1.047	×0.820	×1.009	×1.050	6.74%
Triples /BIP	1.11%	÷0.926	×0.760	×1.009	×1.050	0.96%
Home runs /BIP	4.80%	÷1.715	×0.920	—	×1.050	2.70%

Factors used: league row CAL. Park (home-season share, regressed): HR 243, 1B 92, 2B 109, 3B 85, K 114, BB 100 — applied at half strength. Age: age 19 vs a level average of 22.8 → +5.0% on BB/HBP/hit rates (3.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.009.

Result: wOBA .357 → .297; ISO .198 → .132; BABIP .337 → .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).

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