Ricardo Valenzuela

PosC

B/TR/R

Born1990-08-04

Age (2027)36

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	33	INTLSultanes de M…	233	.213/.275/.336	5	0	70	—
2025	34	INTLJaguares de N…	263	.291/.383/.454	8	1	138	—
2026	35	INTLVenados de Ma…	38	.265/.342/.471	2	0	130	—

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. 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)
2010	19	ROK	DSL Padres	—	80	70	18	4	1	0	7	13	1	3	2	257	333	343	676	86	305	16	9	302	18	—	—	—	—	—	—
2011	20	ROK	DSL Padres	—	85	72	18	6	0	0	11	6	2	1	2	250	365	333	698	83	273	7	13	326	31	—	—	—	—	—	—
2012	21	ROK	DSL Padres	—	137	120	33	6	0	1	15	12	2	1	4	275	365	350	715	75	299	9	11	330	30	—	—	—	—	—	—
2013	22	ROK	AZL Padres	—	73	68	15	3	0	0	5	13	0	0	0	221	274	265	539	44	273	18	7	249	5	—	—	—	—	—	—
2014	23	ROK	AZL Padres	—	111	96	24	4	1	1	8	17	3	1	0	250	327	344	671	94	284	15	7	296	38	—	—	—	—	—	—
2015	24	A+	Lake Elsinore Storm	—	104	93	17	3	0	1	10	15	1	0	1	183	269	247	517	65	208	14	10	244	19	—	—	—	—	—	—
2015	24	INTL	Yaquis de Obregon	—	26	24	7	1	0	0	2	2	0	0	0	292	346	333	679	42	318	8	8	312	97	—	—	—	—	—	—
2016	25	AAA	El Paso Chihuahuas	—	36	32	6	0	0	0	2	7	1	0	0	188	257	188	445		240	19	6	210	4	—	—	—	—	—	—
2016	25	AA	San Antonio Missions	—	17	14	3	0	0	0	3	3	0	0	0	214	353	214	567		273	18	18	283	39	—	—	—	—	—	—
2016	25	A+	Lake Elsinore Storm	—	144	131	33	5	0	1	11	19	0	0	0	252	310	313	623	61	288	13	8	282	42	—	—	—	—	—	—
2016	25	INTL	Yaquis de Obregon	—	80	61	19	2	0	0	12	12	0	1	0	311	425	344	769	33	358	15	15	329	109	—	—	—	—	—	—
2017	26	AAA	Diablos Rojos del Mexico	—	245	214	54	3	0	2	25	27	0	0	6	252	331	294	625	42	277	11	10	285	53	—	—	—	—	—	—
2017	26	INTL	Yaquis de Obregon	—	63	51	11	0	0	1	6	9	2	2	0	216	322	275	597	59	244	14	10	266	66	—	—	—	—	—	—
2018	27	INTL	Venados de Mazatlan	—	22	22	1	0	0	0	0	5	0	0	0	45	45	45	91		59	23	0	41	-86	—	—	—	—	—	—
2019	28	AAA	Diablos Rojos del Mexico	—	173	155	48	7	0	5	13	18	1	0	1	310	367	452	818	142	319	10	8	357	70	—	—	—	—	—	—
2019	28	INTL	Mexico	—	144	123	38	8	0	1	14	24	4	1	2	309	397	398	796	89	366	17	10	356	127	—	—	—	—	—	—
2020	29	INTL	Venados de Mazatlan	—	211	175	46	7	0	6	31	23	3	1	2	263	383	406	788	143	270	11	15	356	127	—	—	—	—	—	—
2021	30	INTL	Venados de Mazatlan	—	243	202	50	9	1	5	35	39	1	1	1	248	361	376	738	129	283	16	14	331	110	—	—	—	—	—	—
2022	31	INTL	Venados de Mazatlan	—	152	135	35	7	0	2	14	22	0	0	0	259	329	356	684	96	292	14	9	306	93	—	—	—	—	—	—
2023	32	INTL	Venados de Mazatlan	—	168	149	38	8	1	1	16	20	0	0	0	255	327	342	670	87	285	12	10	300	89	—	—	—	—	—	—
2024	33	INTL	Sultanes de Monterrey	—	233	211	45	11	0	5	16	52	2	0	0	213	275	336	612	123	258	22	7	272	70	—	—	—	—	—	—
2025	34	INTL	Jaguares de Nayarit	—	263	227	66	13	0	8	32	54	2	1	0	291	383	454	837	163	352	21	12	372	138	—	—	—	—	—	—
2026	35	INTL	Venados de Mazatlan	—	38	34	9	1	0	2	4	5	0	0	0	265	342	471	813	206	259	13	11	360	130	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2010	19	ROK MLE	DSL Padres	—	80	73	12	2	1	0	4	16	1	3	2	164	218	219	437	55	193	20	5	195	18	—	—	—	—	—	—
2011	20	ROK MLE	DSL Padres	—	85	76	12	4	0	0	7	7	2	1	2	158	247	211	458	53	177	8	8	214	31	—	—	—	—	—	—
2012	21	ROK MLE	DSL Padres	—	137	125	22	4	0	0	10	15	2	1	4	176	248	208	456	32	194	11	7	212	30	—	—	—	—	—	—
2013	22	ROK MLE	AZL Padres	—	73	70	11	2	0	0	3	19	0	0	0	157	192	186	377	29	221	26	4	175	5	—	—	—	—	—	—
2014	23	ROK MLE	AZL Padres	—	111	99	20	3	1	1	5	25	3	1	0	202	262	283	545	81	227	23	5	224	38	—	—	—	—	—	—
2015	24	A+ MLE	Lake Elsinore Storm	—	104	95	15	3	0	1	8	21	1	0	1	158	231	221	452	63	178	20	8	196	19	—	—	—	—	—	—
2016	25	AAA MLE	El Paso Chihuahuas	—	36	33	5	0	0	0	1	10	1	0	0	152	200	152	352		214	28	3	174	4	—	—	—	—	—	—
2016	25	AA MLE	San Antonio Missions	—	17	15	3	0	0	0	2	4	0	0	0	200	294	200	494		244	24	12	226	39	—	—	—	—	—	—
2016	25	A+ MLE	Lake Elsinore Storm	—	144	135	29	4	0	1	7	25	0	0	0	215	254	267	520	52	253	17	5	230	42	—	—	—	—	—	—
2017	26	AAA MLE	Diablos Rojos del Mexico	—	245	222	51	2	0	1	17	34	0	0	6	230	285	252	537	23	257	14	7	247	53	—	—	—	—	—	—
2019	28	AAA MLE	Diablos Rojos del Mexico	—	173	160	39	5	0	3	8	25	1	0	1	244	284	331	615	87	259	14	5	271	70	—	—	—	—	—	—
2010	19	ROK MLE	DSL Padres	—	80	73	12	2	1	0	4	16	1	3	2	164	218	219	437	55	203	20	5	195	18	—	—	—	—	—	—
2010	19	ROK RAW	DSL Padres	—	80	70	18	4	1	0	7	13	1	3	2	257	333	343	676	86	305	16	9	302	18	—	—	—	—	—	—
2011	20	ROK MLE	DSL Padres	—	85	76	12	4	0	0	7	7	2	1	2	158	247	211	458	53	174	8	8	214	31	—	—	—	—	—	—
2011	20	ROK RAW	DSL Padres	—	85	72	18	6	0	0	11	6	2	1	2	250	365	333	698	83	273	7	13	326	31	—	—	—	—	—	—
2012	21	ROK MLE	DSL Padres	—	137	125	22	4	0	0	10	15	2	1	4	176	248	208	456	32	200	11	7	212	30	—	—	—	—	—	—
2012	21	ROK RAW	DSL Padres	—	137	120	33	6	0	1	15	12	2	1	4	275	365	350	715	75	299	9	11	330	30	—	—	—	—	—	—
2013	22	ROK MLE	AZL Padres	—	73	70	11	2	0	0	3	19	0	0	0	157	192	186	377	29	216	26	4	175	5	—	—	—	—	—	—
2013	22	ROK RAW	AZL Padres	—	73	68	15	3	0	0	5	13	0	0	0	221	274	265	539	44	273	18	7	249	5	—	—	—	—	—	—
2014	23	ROK MLE	AZL Padres	—	111	99	20	3	1	1	5	25	3	1	0	202	262	283	545	81	250	23	5	224	38	—	—	—	—	—	—
2014	23	ROK RAW	AZL Padres	—	111	96	24	4	1	1	8	17	3	1	0	250	327	344	671	94	284	15	7	296	38	—	—	—	—	—	—
2015	24	A+ MLE	2 teams	—	130	120	17	3	0	1	9	26	1	0	1	142	208	192	399	50	172	20	7	196	19	—	—	—	—	—	—
2015	24	A+ RAW	2 teams	—	130	117	24	4	0	1	12	17	1	0	1	205	285	265	550	60	232	13	9	258	19	—	—	—	—	—	—
2016	25	A+ MLE	4 teams	—	277	251	51	5	0	1	15	54	1	1	0	203	251	235	486	32	250	19	5	219	35	—	—	—	—	—	—
2016	25	A+ RAW	4 teams	—	277	238	61	7	0	1	28	41	1	1	0	256	337	298	635	42	300	15	10	286	35	—	—	—	—	—	—
2017	26	AAA MLE	2 teams	—	308	274	65	3	0	2	22	42	2	2	6	237	299	270	569	33	270	14	7	247	53	—	—	—	—	—	—
2017	26	AAA RAW	2 teams	—	308	265	65	3	0	3	31	36	2	2	6	245	329	291	619	45	271	12	10	281	53	—	—	—	—	—	—
2018	27	INTL MLE	Venados de Mazatlan	—	22	22	1	0	0	0	0	5	0	0	0	45	45	45	91		59	23	0	—	—	—	—	—	—	—	—
2018	27	INTL RAW	Venados de Mazatlan	—	22	22	1	0	0	0	0	5	0	0	0	45	45	45	91		59	23	0	41	-86	—	—	—	—	—	—
2019	28	AAA MLE	2 teams	—	317	291	73	9	0	6	14	45	5	1	3	251	297	344	640	93	272	14	4	271	70	—	—	—	—	—	—
2019	28	AAA RAW	2 teams	—	317	278	86	15	0	6	27	42	5	1	3	309	381	428	809	119	339	13	9	357	70	—	—	—	—	—	—
2020	29	INTL MLE	Venados de Mazatlan	—	211	175	46	7	0	6	31	23	3	1	2	263	383	406	788	143	270	11	15	—	—	—	—	—	—	—	—
2020	29	INTL RAW	Venados de Mazatlan	—	211	175	46	7	0	6	31	23	3	1	2	263	383	406	788	143	270	11	15	356	127	—	—	—	—	—	—
2021	30	INTL MLE	Venados de Mazatlan	—	243	202	50	9	1	5	35	39	1	1	1	248	361	376	738	129	283	16	14	—	—	—	—	—	—	—	—
2021	30	INTL RAW	Venados de Mazatlan	—	243	202	50	9	1	5	35	39	1	1	1	248	361	376	738	129	283	16	14	331	110	—	—	—	—	—	—
2022	31	INTL MLE	Venados de Mazatlan	—	152	135	35	7	0	2	14	22	0	0	0	259	329	356	684	96	292	14	9	—	—	—	—	—	—	—	—
2022	31	INTL RAW	Venados de Mazatlan	—	152	135	35	7	0	2	14	22	0	0	0	259	329	356	684	96	292	14	9	306	93	—	—	—	—	—	—
2023	32	INTL MLE	Venados de Mazatlan	—	168	149	38	8	1	1	16	20	0	0	0	255	327	342	670	87	285	12	10	—	—	—	—	—	—	—	—
2023	32	INTL RAW	Venados de Mazatlan	—	168	149	38	8	1	1	16	20	0	0	0	255	327	342	670	87	285	12	10	300	89	—	—	—	—	—	—
2024	33	INTL MLE	Sultanes de Monterrey	—	233	211	45	11	0	5	16	52	2	0	0	213	275	336	612	123	258	22	7	—	—	—	—	—	—	—	—
2024	33	INTL RAW	Sultanes de Monterrey	—	233	211	45	11	0	5	16	52	2	0	0	213	275	336	612	123	258	22	7	272	70	—	—	—	—	—	—
2025	34	INTL MLE	Jaguares de Nayarit	—	263	227	66	13	0	8	32	54	2	1	0	291	383	454	837	163	352	21	12	—	—	—	—	—	—	—	—
2025	34	INTL RAW	Jaguares de Nayarit	—	263	227	66	13	0	8	32	54	2	1	0	291	383	454	837	163	352	21	12	372	138	—	—	—	—	—	—
2026	35	INTL MLE	Venados de Mazatlan	—	38	34	9	1	0	2	4	5	0	0	0	265	342	471	813	206	259	13	11	—	—	—	—	—	—	—	—
2026	35	INTL RAW	Venados de Mazatlan	—	38	34	9	1	0	2	4	5	0	0	0	265	342	471	813	206	259	13	11	360	130	—	—	—	—	—	—
2010	19	ROK MLE	DSL Padres	—	80	75	12	2	1	0	4	16	1	3	2	160	218	213	431	53	193	20	5	195	18	—	—	—	—	—	—
2011	20	ROK MLE	DSL Padres	—	85	76	12	4	0	0	7	7	2	1	2	158	247	211	458	53	177	8	8	214	31	—	—	—	—	—	—
2012	21	ROK MLE	DSL Padres	—	137	124	22	4	0	0	10	15	2	1	4	177	248	210	458	32	194	11	7	212	30	—	—	—	—	—	—
2013	22	ROK MLE	AZL Padres	—	73	70	11	2	0	0	3	19	0	0	0	157	192	186	377	29	221	26	4	175	5	—	—	—	—	—	—
2014	23	ROK MLE	AZL Padres	—	111	102	20	3	1	1	5	25	3	1	0	196	262	275	536	78	227	23	5	224	38	—	—	—	—	—	—
2015	24	A+ MLE	2 teams	—	130	119	17	3	0	1	9	26	1	0	1	143	208	193	401	50	178	20	7	196	19	—	—	—	—	—	—
2016	25	A+ MLE	4 teams	—	277	259	51	5	0	1	15	54	1	1	0	197	251	228	479	31	245	19	5	219	35	—	—	—	—	—	—
2017	26	AAA MLE	2 teams	—	308	281	65	3	0	2	22	42	2	2	6	231	299	263	562	32	257	14	7	247	53	—	—	—	—	—	—
2019	28	AAA MLE	2 teams	—	317	295	73	9	0	6	14	45	5	1	3	247	297	339	636	92	259	14	4	271	70	—	—	—	—	—	—
▸ Career Totals
Career	—	MLE		—	2848	2534	573	91	4	40	237	469	25	13	21	226	299	313	611	86	260	16	8	122	-31	-444	-6	+0	+51	+62	-34.4
/ 162G	—	MLE		—	650	578	131	21	1	9	54	107	6	3	5	227	299	313	613	87	261	16	8	122	-31	-101	-1	+0	+12	+14	-7.9

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 AAADiablos Rojos del Mexico · 173 PAwOBA .352 → .271 (−81)K% 10.4% → 14.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	10.40%	÷0.871	×1.200	—	—	14.33%
BB% (unintentional) /PA	6.94%	÷1.035	×0.690	—	×0.982	4.54%
HBP% /PA	0.58%	—	×0.940	—	×0.982	0.53%
Singles /BIP	26.28%	÷1.013	×0.930	×0.950	×0.982	22.51%
Doubles /BIP	5.11%	÷1.185	×0.830	×0.950	×0.982	3.34%
Triples /BIP	0.00%	÷1.150	×0.920	×0.950	×0.982	0.00%
Home runs /BIP	3.65%	÷1.116	×0.700	—	×0.982	2.25%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 123, 1B 103, 2B 137, 3B 130, K 74, BB 107 — 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 ×0.950.

Result: wOBA .352 → .271; ISO .142 → .091; BABIP .319 → .259. 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 AAADiablos Rojos del Mexico · 245 PAwOBA .281 → .247 (−34)K% 11.0% → 13.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	11.02%	÷0.967	×1.200	—	—	13.67%
BB% (unintentional) /PA	10.20%	÷1.003	×0.690	—	×1.003	7.04%
HBP% /PA	0.00%	—	×0.940	—	×1.003	0.00%
Singles /BIP	26.20%	÷1.036	×0.930	×1.048	×1.003	24.73%
Doubles /BIP	1.60%	÷1.143	×0.830	×1.048	×1.003	1.22%
Triples /BIP	0.00%	÷1.093	×0.920	×1.048	×1.003	0.00%
Home runs /BIP	1.07%	÷1.080	×0.700	—	×1.003	0.70%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 116, 1B 107, 2B 129, 3B 119, K 93, BB 101 — 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 ×1.048.

Result: wOBA .281 → .247; ISO .042 → .030; BABIP .277 → .257. 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+Lake Elsinore Storm · 144 PAwOBA .275 → .230 (−45)K% 13.2% → 17.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.19%	÷1.016	×1.340	—	—	17.40%
BB% (unintentional) /PA	7.64%	÷1.036	×0.710	—	×0.968	5.07%
HBP% /PA	0.00%	—	×0.790	—	×0.968	0.00%
Singles /BIP	24.11%	÷0.999	×0.910	×1.018	×0.968	21.63%
Doubles /BIP	4.46%	÷1.036	×0.820	×1.018	×0.968	3.48%
Triples /BIP	0.00%	÷0.969	×0.760	×1.018	×0.968	0.00%
Home runs /BIP	0.89%	÷0.925	×0.920	—	×0.968	0.86%

Factors used: league row CAL. Park (home-season share, regressed): HR 85, 1B 100, 2B 107, 3B 94, K 103, BB 107 — 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 ×1.018.

Result: wOBA .275 → .230; ISO .061 → .052; BABIP .288 → .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).

2016 AAAEl Paso Chihuahuas · 36 PAwOBA .205 → .174 (−31)K% 19.4% → 26.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.44%	÷0.951	×1.290	—	—	26.38%
BB% (unintentional) /PA	5.56%	÷1.004	×0.710	—	×1.018	4.00%
HBP% /PA	2.78%	—	×0.980	—	×1.018	2.77%
Singles /BIP	24.00%	÷1.026	×0.900	—	×1.018	21.43%
Doubles /BIP	0.00%	÷0.987	×0.810	—	×1.018	0.00%
Triples /BIP	0.00%	÷1.028	×0.810	—	×1.018	0.00%
Home runs /BIP	0.00%	÷1.160	×0.780	—	×1.018	0.00%

Factors used: league row PCL. Park (home-season share, regressed): HR 132, 1B 105, 2B 97, 3B 106, K 90, BB 101 — 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 .205 → .174; ISO .000 → .000; BABIP .240 → .214. 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 AASan Antonio Missions · 17 PAwOBA .277 → .226 (−51)K% 17.6% → 21.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.65%	÷1.012	×1.220	—	—	21.28%
BB% (unintentional) /PA	17.65%	÷1.016	×0.700	—	×0.988	12.01%
HBP% /PA	0.00%	—	×0.870	—	×0.988	0.00%
Singles /BIP	27.27%	÷1.015	×0.920	—	×0.988	24.41%
Doubles /BIP	0.00%	÷0.951	×0.840	—	×0.988	0.00%
Triples /BIP	0.00%	÷0.900	×0.940	—	×0.988	0.00%
Home runs /BIP	0.00%	÷0.933	×0.800	—	×0.988	0.00%

Factors used: league row TL. Park (home-season share, regressed): HR 87, 1B 103, 2B 90, 3B 80, K 102, BB 103 — 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 .277 → .226; ISO .000 → .000; BABIP .273 → .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).

2015 A+Lake Elsinore Storm · 104 PAwOBA .238 → .196 (−43)K% 14.4% → 20.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.42%	÷0.955	×1.340	—	—	20.23%
BB% (unintentional) /PA	9.62%	÷0.917	×0.710	—	×0.978	7.28%
HBP% /PA	0.96%	—	×0.790	—	×0.978	0.74%
Singles /BIP	16.67%	÷1.080	×0.910	×1.031	×0.978	14.17%
Doubles /BIP	3.85%	÷0.949	×0.820	×1.031	×0.978	3.35%
Triples /BIP	0.00%	÷0.900	×0.760	×1.031	×0.978	0.00%
Home runs /BIP	1.28%	÷0.805	×0.920	—	×0.978	1.43%

Factors used: league row CAL. Park (home-season share, regressed): HR 61, 1B 116, 2B 90, 3B 80, K 91, BB 83 — 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 ×1.031.

Result: wOBA .238 → .196; ISO .065 → .061; BABIP .208 → .178. 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 ROKAZL Padres · 111 PAwOBA .297 → .224 (−73)K% 15.3% → 22.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.32%	÷1.000	×1.440	—	—	22.05%
BB% (unintentional) /PA	7.21%	÷1.000	×0.620	—	×0.955	4.27%
HBP% /PA	2.70%	—	×0.720	—	×0.955	1.86%
Singles /BIP	22.78%	÷1.000	×0.820	×1.050	×0.955	18.73%
Doubles /BIP	5.06%	÷1.000	×0.720	×1.050	×0.955	3.66%
Triples /BIP	1.27%	÷1.000	×0.720	×1.050	×0.955	0.91%
Home runs /BIP	1.27%	÷1.000	×0.780	—	×0.955	0.94%

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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .297 → .224; ISO .094 → .069; BABIP .284 → .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).

2013 ROKAZL Padres · 73 PAwOBA .243 → .175 (−68)K% 17.8% → 25.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.81%	÷1.000	×1.440	—	—	25.64%
BB% (unintentional) /PA	6.85%	÷1.000	×0.620	—	×0.965	4.10%
HBP% /PA	0.00%	—	×0.720	—	×0.965	0.00%
Singles /BIP	21.82%	÷1.000	×0.820	×1.050	×0.965	18.13%
Doubles /BIP	5.45%	÷1.000	×0.720	×1.050	×0.965	3.98%
Triples /BIP	0.00%	÷1.000	×0.720	×1.050	×0.965	0.00%
Home runs /BIP	0.00%	÷1.000	×0.780	—	×0.965	0.00%

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 23 vs a level average of 19.5 → −3.5% on BB/HBP/hit rates (3.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .243 → .175; ISO .044 → .030; BABIP .273 → .221. 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 — .