Renato Núñez

Pos3B

B/TR/R

Born1994-04-04

Age (2027)33

No MLB projection yet. Career stats below are historical.

Overview

INTL

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR
2024	30	INTLNavegantes de…	225	.311/.411/.700	21	1	204	—
2025	31	INTLNavegantes de…	178	.221/.358/.469	10	1	134	—
2026	32	INTLNavegantes de…	37	.276/.417/.586	3	0	174	—

Contract

No contract data on file.

Skills · percentileStatcast 2019-2021

Barrel%66

xwOBA62

Avg EV44

Speed40

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)
2011	17	ROK	DSL Athletics	—	207	194	52	12	0	5	6	42	4	1	2	268	304	407	711	139	315	20	3	312	16	—	—	—	—	—	—
2012	18	ROK	AZL Athletics	—	186	160	52	18	3	4	17	32	6	4	0	325	410	550	960	225	378	17	9	414	92	—	—	—	—	—	—
2013	19	A	Beloit Snappers	—	546	508	131	27	0	19	28	136	5	2	2	258	303	423	726	165	315	25	5	319	49	—	—	—	—	—	—
2014	20	A+	Stockton Ports	—	563	509	142	28	3	29	34	113	13	2	0	279	339	517	856	238	303	20	6	371	86	—	—	—	—	—	—
2014	20	INTL	Tigres de Aragua	—	114	96	27	5	0	4	11	28	4	1	0	281	378	458	837	177	343	25	10	365	133	—	—	—	—	—	—
2015	21	AA	Midland RockHounds	—	416	381	106	23	0	18	28	66	4	1	0	278	334	480	814	202	293	16	7	356	82	—	—	—	—	—	—
2015	21	INTL	Mesa Solar Sox	—	75	71	21	2	0	4	4	14	0	0	0	296	333	493	826	197	321	19	5	363	132	—	—	—	—	—	—
2016	22	MLB	Oakland Athletics	—	15	15	2	0	0	0	0	3	0	0	0	133	133	133	267		167	20	0	121	-32	-2	+0	+0	-14	+0	-1.6
2016	22	AAA	Nashville Sounds	—	550	505	115	20	2	23	31	119	7	2	0	228	282	412	694	184	249	22	6	303	59	—	—	—	—	—	—
2016	22	INTL	Tigres de Aragua	—	193	168	51	7	0	11	21	38	3	0	0	304	391	542	932	238	333	20	11	407	162	—	—	—	—	—	—
2017	23	MLB	Oakland Athletics	—	16	15	3	0	0	1	1	8	0	0	0	200	250	400	650	200	333	50	6	287	89	-0	+0	-0	-6	+0	-0.6
2017	23	AAA	Nashville Sounds	—	533	473	118	27	2	32	47	141	5	2	1	249	324	518	842	268	279	26	9	361	86	—	—	—	—	—	—
2017	23	INTL	Tigres de Aragua	—	52	46	8	2	0	2	5	12	1	0	0	174	269	348	617	174	188	23	10	280	76	—	—	—	—	—	—
2018	24	MLB	Baltimore Orioles	—	261	236	61	14	0	8	19	62	4	0	0	258	324	419	744	161	315	24	7	330	105	+2	+0	-6	+2	+6	0.3
2018	24	AAA	Norfolk Tides	—	258	229	68	14	1	5	25	55	1	1	0	297	367	432	800	135	368	21	10	355	91	—	—	—	—	—	—
2019	25	MLB	Baltimore Orioles	—	599	541	132	24	0	31	44	143	10	1	1	244	313	460	773	216	272	24	7	339	108	+5	-0	-6	-11	+13	0.1
2020	26	MLB	Baltimore Orioles	—	216	195	50	10	0	12	17	64	3	0	0	256	326	492	818	236	317	30	8	357	120	+5	+0	-4	-5	+5	0.1
2020	26	INTL	Navegantes del Magallanes	—	44	38	7	2	0	2	4	9	2	0	0	184	295	395	690	211	185	20	9	311	97	—	—	—	—	—	—
2021	27	MLB	Detroit Tigers	—	55	53	10	3	0	4	1	16	1	0	0	189	218	472	690	283	182	29	2	297	93	-0	+0	-2	-8	+1	-0.9
2021	27	AAA	Nashville Sounds	—	386	332	89	16	2	21	36	93	14	1	0	268	364	518	882	250	306	24	9	384	94	—	—	—	—	—	—
2022	28	INTL	Navegantes del Magallanes	—	142	124	36	11	0	7	10	26	7	1	0	290	373	548	922	258	319	18	7	402	158	—	—	—	—	—	—
2023	29	INTL	Navegantes del Magallanes	—	130	118	34	10	0	5	7	30	4	2	0	288	349	500	849	212	345	23	5	371	137	—	—	—	—	—	—
2024	30	INTL	Navegantes del Magallanes	—	225	190	59	11	0	21	25	35	8	1	0	311	411	700	1.111	389	281	16	11	469	204	—	—	—	—	—	—
2025	31	INTL	Navegantes del Magallanes	—	178	145	32	6	0	10	19	40	12	1	1	221	358	469	827	248	227	22	11	366	134	—	—	—	—	—	—
2026	32	INTL	Navegantes del Magallanes	—	37	29	8	0	0	3	5	7	2	0	0	276	417	586	1.003	310	250	19	14	425	174	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	1162	1055	258	51	0	56	82	296	18	1	1	245	310	452	762	208	285	25	7	335	113	+18	-0	-18	-41	+25	-1.7
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2011	17	ROK MLE	DSL Athletics	—	207	196	33	7	0	2	4	51	4	1	2	168	201	235	436	66	207	25	2	192	16	—	—	—	—	—	—
2012	18	ROK MLE	AZL Athletics	—	186	166	40	13	2	3	11	46	6	4	0	241	311	398	709	157	298	25	6	304	92	—	—	—	—	—	—
2013	19	A MLE	Beloit Snappers	—	546	517	104	21	0	13	20	191	5	2	2	201	238	317	555	116	282	35	4	241	49	—	—	—	—	—	—
2014	20	A+ MLE	Stockton Ports	—	563	519	118	21	2	24	25	152	13	2	0	227	280	414	694	187	263	27	4	295	86	—	—	—	—	—	—
2015	21	AA MLE	Midland RockHounds	—	416	391	92	17	0	15	18	87	4	1	0	235	276	394	670	159	262	21	4	290	82	—	—	—	—	—	—
2016	22	MLB MLE	Oakland Athletics	—	15	15	2	0	0	0	0	3	0	0	0	133	133	133	267		167	20	0	121	-32	-2	+0	+0	-14	+0	-1.6
2016	22	AAA MLE	Nashville Sounds	—	550	513	98	17	2	21	23	153	7	2	0	191	236	355	591	164	218	28	4	255	59	—	—	—	—	—	—
2017	23	MLB MLE	Oakland Athletics	—	16	15	3	0	0	1	1	8	0	0	0	200	250	400	650	200	333	50	6	300	89	-0	+0	-0	-6	+0	-0.6
2017	23	AAA MLE	Nashville Sounds	—	533	486	99	20	2	28	34	181	5	2	1	204	263	426	689	222	244	34	6	296	86	—	—	—	—	—	—
2018	24	MLB MLE	Baltimore Orioles	—	261	236	60	14	0	7	19	62	4	0	0	254	320	403	723	148	315	24	7	324	105	+2	+0	-6	+2	+6	0.3
2018	24	AAA MLE	Norfolk Tides	—	258	237	62	11	1	5	18	66	1	1	0	262	316	380	696	118	335	26	7	302	91	—	—	—	—	—	—
2019	25	MLB MLE	Baltimore Orioles	—	599	542	128	24	0	28	43	143	10	1	1	236	304	435	740	199	272	24	7	327	108	+5	-0	-6	-11	+13	0.1
2020	26	MLB MLE	Baltimore Orioles	—	216	195	49	10	0	11	17	64	3	0	0	251	321	472	793	221	317	30	8	346	120	+5	+0	-4	-5	+5	0.1
2021	27	MLB MLE	Detroit Tigers	—	55	53	10	3	0	4	1	16	1	0	0	189	218	472	690	283	182	29	2	306	93	-0	+0	-2	-8	+1	-0.9
2021	27	AAA MLE	Nashville Sounds	—	386	342	76	12	2	16	26	109	14	1	0	222	304	409	713	187	263	28	7	307	94	—	—	—	—	—	—
2011	17	ROK MLE	DSL Athletics	—	207	196	33	7	0	2	4	51	4	1	2	168	201	235	436	66	214	25	2	192	16	—	—	—	—	—	—
2011	17	ROK RAW	DSL Athletics	—	207	194	52	12	0	5	6	42	4	1	2	268	304	407	711	139	315	20	3	312	16	—	—	—	—	—	—
2012	18	ROK MLE	AZL Athletics	—	186	166	40	13	2	3	11	46	6	4	0	241	311	398	709	157	308	25	6	304	92	—	—	—	—	—	—
2012	18	ROK RAW	AZL Athletics	—	186	160	52	18	3	4	17	32	6	4	0	325	410	550	960	225	378	17	9	414	92	—	—	—	—	—	—
2013	19	A MLE	Beloit Snappers	—	546	517	104	21	0	13	20	191	5	2	2	201	238	317	555	116	288	35	4	241	49	—	—	—	—	—	—
2013	19	A RAW	Beloit Snappers	—	546	508	131	27	0	19	28	136	5	2	2	258	303	423	726	165	315	25	5	319	49	—	—	—	—	—	—
2014	20	A+ MLE	2 teams	—	677	621	143	25	3	29	30	183	17	3	0	230	284	420	705	190	273	27	4	295	86	—	—	—	—	—	—
2014	20	A+ RAW	2 teams	—	677	605	169	33	3	33	45	141	17	3	0	279	346	507	853	228	309	21	7	370	86	—	—	—	—	—	—
2015	21	AA MLE	2 teams	—	491	463	109	20	0	18	21	103	4	1	0	235	275	395	670	160	264	21	4	290	82	—	—	—	—	—	—
2015	21	AA RAW	2 teams	—	491	452	127	25	0	22	32	80	4	1	0	281	334	482	816	201	297	16	7	358	82	—	—	—	—	—	—
2016	22	AAA MLE	3 teams	—	758	709	134	23	2	28	31	209	10	2	0	189	233	346	579	157	221	28	4	251	56	—	—	—	—	—	—
2016	22	AAA RAW	3 teams	—	758	688	168	27	2	34	52	160	10	2	0	244	307	438	744	193	267	21	7	326	56	—	—	—	—	—	—
2017	23	AAA MLE	3 teams	—	601	549	112	22	2	32	38	207	6	2	1	204	263	426	689	222	252	34	6	296	87	—	—	—	—	—	—
2017	23	AAA RAW	3 teams	—	601	534	129	29	2	35	53	161	6	2	1	242	317	500	817	258	272	27	9	352	87	—	—	—	—	—	—
2018	24	MLB MLE	2 teams	—	519	473	122	25	1	12	37	128	5	1	0	258	318	391	710	133	326	25	7	313	98	-1	+0	-6	+2	+11	0.6
2018	24	MLB RAW	2 teams	—	519	465	129	28	1	13	44	117	5	1	0	277	346	426	771	148	342	23	8	342	98	-1	+0	-6	+2	+11	0.6
2019	25	MLB MLE	Baltimore Orioles	—	599	542	128	24	0	28	43	143	10	1	1	236	304	435	740	199	267	24	7	327	108	+5	-0	-6	-11	+13	0.1
2019	25	MLB RAW	Baltimore Orioles	—	599	541	132	24	0	31	44	143	10	1	1	244	313	460	773	216	272	24	7	339	108	+5	-0	-6	-11	+13	0.1
2020	26	MLB MLE	2 teams	—	260	234	58	12	0	13	20	77	5	0	0	248	320	466	786	218	310	30	8	346	120	+6	+0	-4	-5	+6	0.3
2020	26	MLB RAW	2 teams	—	260	233	57	12	0	14	21	73	5	0	0	245	320	476	797	232	293	28	8	350	120	+6	+0	-4	-5	+6	0.3
2021	27	AAA MLE	2 teams	—	441	395	86	15	2	20	27	125	15	1	0	218	293	418	711	200	260	28	6	307	94	—	—	—	—	—	—
2021	27	AAA RAW	2 teams	—	441	385	99	19	2	25	37	109	15	1	0	257	346	512	857	255	290	25	8	373	94	—	—	—	—	—	—
2022	28	INTL MLE	Navegantes del Magallanes	—	142	124	36	11	0	7	10	26	7	1	0	290	373	548	922	258	319	18	7	—	—	—	—	—	—	—	—
2022	28	INTL RAW	Navegantes del Magallanes	—	142	124	36	11	0	7	10	26	7	1	0	290	373	548	922	258	319	18	7	402	158	—	—	—	—	—	—
2023	29	INTL MLE	Navegantes del Magallanes	—	130	118	34	10	0	5	7	30	4	2	0	288	349	500	849	212	345	23	5	—	—	—	—	—	—	—	—
2023	29	INTL RAW	Navegantes del Magallanes	—	130	118	34	10	0	5	7	30	4	2	0	288	349	500	849	212	345	23	5	371	137	—	—	—	—	—	—
2024	30	INTL MLE	Navegantes del Magallanes	—	225	190	59	11	0	21	25	35	8	1	0	311	411	700	1.111	389	281	16	11	—	—	—	—	—	—	—	—
2024	30	INTL RAW	Navegantes del Magallanes	—	225	190	59	11	0	21	25	35	8	1	0	311	411	700	1.111	389	281	16	11	469	204	—	—	—	—	—	—
2025	31	INTL MLE	Navegantes del Magallanes	—	178	145	32	6	0	10	19	40	12	1	1	221	358	469	827	248	227	22	11	—	—	—	—	—	—	—	—
2025	31	INTL RAW	Navegantes del Magallanes	—	178	145	32	6	0	10	19	40	12	1	1	221	358	469	827	248	227	22	11	366	134	—	—	—	—	—	—
2026	32	INTL MLE	Navegantes del Magallanes	—	37	29	8	0	0	3	5	7	2	0	0	276	417	586	1.003	310	250	19	14	—	—	—	—	—	—	—	—
2026	32	INTL RAW	Navegantes del Magallanes	—	37	29	8	0	0	3	5	7	2	0	0	276	417	586	1.003	310	250	19	14	425	174	—	—	—	—	—	—
2011	17	ROK MLE	DSL Athletics	—	207	197	33	7	0	2	4	51	4	1	2	168	201	234	434	66	207	25	2	192	16	—	—	—	—	—	—
2012	18	ROK MLE	AZL Athletics	—	186	167	40	13	2	3	11	46	6	4	0	240	311	395	707	156	298	25	6	304	92	—	—	—	—	—	—
2013	19	A MLE	Beloit Snappers	—	546	516	104	21	0	13	20	191	5	2	2	202	238	318	556	116	282	35	4	241	49	—	—	—	—	—	—
2014	20	A+ MLE	2 teams	—	677	625	143	25	3	29	30	183	17	3	0	229	284	418	702	189	263	27	4	295	86	—	—	—	—	—	—
2015	21	AA MLE	2 teams	—	491	463	109	20	0	18	21	103	4	1	0	235	275	395	670	160	262	21	4	290	82	—	—	—	—	—	—
2016	22	AAA MLE	3 teams	—	758	711	134	23	2	28	31	209	10	2	0	188	233	345	578	156	217	28	4	251	56	—	—	—	—	—	—
2017	23	AAA MLE	3 teams	—	601	552	112	22	2	32	38	207	6	2	1	203	263	424	687	221	247	34	6	296	87	—	—	—	—	—	—
2018	24	MLB MLE	2 teams	—	519	472	122	25	1	12	37	128	5	1	0	258	318	392	710	133	325	25	7	313	98	—	—	—	—	—	—
2019	25	MLB MLE	Baltimore Orioles	—	599	541	128	24	0	28	43	143	10	1	1	237	304	436	740	200	272	24	7	327	108	—	—	—	—	—	—
2020	26	MLB MLE	2 teams	—	260	233	58	12	0	13	20	77	5	0	0	249	320	468	788	219	317	30	8	346	120	—	—	—	—	—	—
2021	27	AAA MLE	2 teams	—	441	396	86	15	2	20	27	125	15	1	0	217	293	417	710	199	253	28	6	307	94	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1162	1055	258	51	0	56	82	296	18	1	1	245	310	452	762	208	285	25	7	335	58	+18	-0	-18	-41	+25	-1.7
/ 162G	—	A+C		—	650	590	144	29	0	31	46	166	10	1	1	244	310	451	760	207	285	26	7	335	58	+10	-0	-10	-23	+14	-1.0
Career	—	MLE		—	5997	5471	1238	245	12	244	348	1601	120	23	7	226	287	409	696	183	270	27	6	254	58	+18	-0	-18	-41	+25	-1.7
/ 162G	—	MLE		—	650	593	134	27	1	26	38	174	13	2	1	226	287	406	694	180	271	27	6	254	58	+10	-0	-10	-23	+14	-1.0

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 AAANashville Sounds · 386 PAwOBA .377 → .307 (−70)K% 24.1% → 28.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.09%	÷1.024	×1.200	—	—	28.24%
BB% (unintentional) /PA	9.33%	÷0.946	×0.690	—	×1.003	6.82%
HBP% /PA	3.63%	—	×0.940	—	×1.003	3.42%
Singles /BIP	20.92%	÷0.966	×0.930	×0.950	×1.003	19.18%
Doubles /BIP	6.69%	÷1.030	×0.830	×0.950	×1.003	5.14%
Triples /BIP	0.84%	÷1.150	×0.920	×0.950	×1.003	0.64%
Home runs /BIP	8.79%	÷0.915	×0.700	—	×1.003	6.74%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 83, 1B 93, 2B 106, 3B 130, K 105, BB 89 — 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 ×0.950.

Result: wOBA .377 → .307; ISO .250 → .191; BABIP .306 → .263. 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 AAANorfolk Tides · 258 PAwOBA .349 → .302 (−47)K% 21.3% → 25.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.32%	÷1.009	×1.200	—	—	25.35%
BB% (unintentional) /PA	9.69%	÷0.997	×0.690	—	×1.048	7.03%
HBP% /PA	0.39%	—	×0.940	—	×1.048	0.38%
Singles /BIP	27.59%	÷0.984	×0.930	×0.958	×1.048	26.19%
Doubles /BIP	8.05%	÷1.063	×0.830	×0.958	×1.048	6.31%
Triples /BIP	0.57%	÷1.150	×0.970	×0.958	×1.048	0.49%
Home runs /BIP	2.87%	÷0.964	×0.840	—	×1.048	2.62%

Factors used: league row IL. Park (home-season share, regressed): HR 93, 1B 97, 2B 113, 3B 130, K 102, 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 ×0.958.

Result: wOBA .349 → .302; ISO .135 → .115; BABIP .368 → .335. 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 · 533 PAwOBA .356 → .296 (−59)K% 26.5% → 34.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	26.45%	÷1.003	×1.290	—	—	34.03%
BB% (unintentional) /PA	8.63%	÷1.029	×0.710	—	×1.050	6.25%
HBP% /PA	0.94%	—	×0.980	—	×1.050	0.97%
Singles /BIP	17.17%	÷0.984	×0.900	×0.957	×1.050	15.79%
Doubles /BIP	8.13%	÷1.021	×0.810	×0.957	×1.050	6.49%
Triples /BIP	0.60%	÷0.900	×0.810	×0.957	×1.050	0.55%
Home runs /BIP	9.64%	÷0.868	×0.780	—	×1.050	9.10%

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 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 ×0.957.

Result: wOBA .356 → .296; ISO .268 → .231; BABIP .279 → .244. 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 · 550 PAwOBA .298 → .255 (−43)K% 21.6% → 27.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.64%	÷1.004	×1.290	—	—	27.79%
BB% (unintentional) /PA	5.45%	÷0.979	×0.710	—	×1.050	4.15%
HBP% /PA	1.27%	—	×0.980	—	×1.050	1.31%
Singles /BIP	18.13%	÷1.035	×0.900	×0.960	×1.050	15.89%
Doubles /BIP	5.18%	÷0.898	×0.810	×0.960	×1.050	4.71%
Triples /BIP	0.52%	÷1.015	×0.810	×0.960	×1.050	0.42%
Home runs /BIP	5.96%	÷0.856	×0.780	—	×1.050	5.70%

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 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 ×0.960.

Result: wOBA .298 → .255; ISO .184 → .165; BABIP .249 → .218. 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 AAMidland RockHounds · 416 PAwOBA .348 → .290 (−58)K% 15.9% → 20.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.87%	÷0.928	×1.220	—	—	20.87%
BB% (unintentional) /PA	6.49%	÷1.106	×0.700	—	×1.050	4.31%
HBP% /PA	0.96%	—	×0.870	—	×1.050	0.88%
Singles /BIP	20.63%	÷0.990	×0.920	×0.975	×1.050	19.63%
Doubles /BIP	7.30%	÷1.125	×0.840	×0.975	×1.050	5.58%
Triples /BIP	0.00%	÷1.150	×0.940	×0.975	×1.050	0.00%
Home runs /BIP	5.71%	÷0.982	×0.800	—	×1.050	4.89%

Factors used: league row TL. Park (home-season share, regressed): HR 96, 1B 98, 2B 125, 3B 130, K 86, BB 121 — applied at half strength. Age: age 21 vs a level average of 24.8 → +5.0% on BB/HBP/hit rates (3.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.975.

Result: wOBA .348 → .290; ISO .202 → .163; BABIP .293 → .262. 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 A+Stockton Ports · 563 PAwOBA .364 → .295 (−69)K% 20.1% → 27.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.07%	÷0.997	×1.340	—	—	26.98%
BB% (unintentional) /PA	6.04%	÷1.020	×0.710	—	×1.042	4.38%
HBP% /PA	2.31%	—	×0.790	—	×1.042	1.90%
Singles /BIP	20.71%	÷0.992	×0.910	×0.958	×1.042	18.96%
Doubles /BIP	7.07%	÷1.044	×0.820	×0.958	×1.042	5.54%
Triples /BIP	0.76%	÷1.011	×0.760	×0.958	×1.042	0.57%
Home runs /BIP	7.32%	÷1.112	×0.920	—	×1.042	6.32%

Factors used: league row CAL. Park (home-season share, regressed): HR 122, 1B 98, 2B 109, 3B 102, K 99, BB 104 — applied at half strength. Age: age 20 vs a level average of 22.8 → +4.2% on BB/HBP/hit rates (2.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.958.

Result: wOBA .364 → .295; ISO .238 → .189; BABIP .303 → .263. 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 ABeloit Snappers · 546 PAwOBA .312 → .241 (−71)K% 24.9% → 35.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.91%	÷0.968	×1.360	—	—	35.00%
BB% (unintentional) /PA	5.13%	÷1.001	×0.690	—	×1.045	3.69%
HBP% /PA	0.92%	—	×0.780	—	×1.045	0.75%
Singles /BIP	22.85%	÷1.056	×0.920	×1.013	×1.045	21.07%
Doubles /BIP	7.26%	÷1.027	×0.830	×1.013	×1.045	6.21%
Triples /BIP	0.00%	÷1.087	×0.910	×1.013	×1.045	0.00%
Home runs /BIP	5.11%	÷1.052	×0.800	—	×1.045	4.06%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 110, 1B 111, 2B 105, 3B 117, K 94, BB 100 — applied at half strength. Age: age 19 vs a level average of 22.0 → +4.5% on BB/HBP/hit rates (3.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.013.

Result: wOBA .312 → .241; ISO .165 → .120; BABIP .315 → .282. 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).

2012 ROKAZL Athletics · 186 PAwOBA .410 → .304 (−105)K% 17.2% → 24.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.20%	÷1.000	×1.440	—	—	24.77%
BB% (unintentional) /PA	9.14%	÷1.000	×0.620	—	×1.022	5.79%
HBP% /PA	3.23%	—	×0.720	—	×1.022	2.37%
Singles /BIP	21.09%	÷1.000	×0.820	×0.999	×1.022	17.66%
Doubles /BIP	14.06%	÷1.000	×0.720	×0.999	×1.022	10.34%
Triples /BIP	2.34%	÷1.000	×0.720	×0.999	×1.022	1.72%
Home runs /BIP	3.12%	÷1.000	×0.780	—	×1.022	2.49%

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 18 vs a level average of 19.5 → +2.2% on BB/HBP/hit rates (1.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.999.

Result: wOBA .410 → .304; ISO .225 → .166; BABIP .378 → .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).

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