Erick Salcedo

PosSS

B/TS/R

Born1993-06-28

Age (2027)34

No MLB projection yet. Career stats below are historical.

Overview

INTLLAST SEASON 2021

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2019	26	AAA/AA2 orgs	350	.204/.246/.290	3	4	11	—	.162/.191/.228
2020	27	INTLBravos de Mar…	134	.296/.372/.391	0	1	112	—
2021	28	INTLBravos de Mar…	57	.151/.182/.170	0	0	-7	—

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)
2010	17	ROK	DSL Angels	—	73	62	14	3	2	0	8	17	0	1	0	226	314	339	653	113	304	23	11	285	17	—	—	—	—	—	—
2011	18	ROK	DSL Angels	—	142	108	26	4	2	0	25	14	4	4	4	241	401	315	716	74	271	10	18	330	45	—	—	—	—	—	—
2012	19	ROK	DSL Angels	—	226	175	42	5	0	0	33	25	2	7	4	240	367	269	635	29	275	11	15	285	31	—	—	—	—	—	—
2013	20	ROK	AZL Angels	—	209	189	51	8	5	0	16	32	0	10	3	270	327	365	692	95	323	15	8	306	37	—	—	—	—	—	—
2014	21	A	Burlington Bees	—	468	422	101	5	3	0	32	57	2	21	10	239	296	265	561	26	275	12	7	255	42	—	—	—	—	—	—
2015	22	AAA	Salt Lake Bees	—	18	16	4	1	0	0	2	3	0	0	0	250	333	312	646	62	308	17	11	300	51	—	—	—	—	—	—
2015	22	AA	Arkansas Travelers	—	84	75	16	1	0	0	5	11	0	5	1	213	263	227	489	13	246	13	6	218	30	—	—	—	—	—	—
2015	22	A	Burlington Bees	—	201	183	42	3	0	0	13	31	0	5	0	230	281	246	527	16	275	15	6	240	15	—	—	—	—	—	—
2015	22	INTL	Aguilas del Zulia	—	142	130	32	2	0	0	9	21	0	1	3	246	295	262	557	15	291	15	6	253	58	—	—	—	—	—	—
2016	23	A+	Frederick Keys	—	535	488	132	23	8	3	36	60	1	13	9	270	322	369	691	98	301	11	7	305	60	—	—	—	—	—	—
2017	24	AA	Bowie Baysox	—	460	408	106	16	1	5	35	50	3	2	5	260	323	341	664	81	283	11	8	294	69	—	—	—	—	—	—
2017	24	INTL	Cardenales de Lara	—	99	88	26	2	0	0	9	11	0	2	1	295	361	318	679	23	333	11	9	309	95	—	—	—	—	—	—
2018	25	AA	Bowie Baysox	—	471	432	97	19	5	0	29	54	3	2	4	225	278	292	570	67	253	11	6	257	46	—	—	—	—	—	—
2018	25	INTL	Bravos de Margarita	—	115	99	25	1	0	0	9	18	1	1	3	253	321	263	584	10	301	16	8	261	63	—	—	—	—	—	—
2019	26	AAA	Salt Lake Bees	—	88	82	16	3	0	1	4	9	0	0	1	195	233	268	501	73	205	10	5	223	7	—	—	—	—	—	—
2019	26	AA	Mobile BayBears	—	262	246	51	12	2	2	14	38	0	4	0	207	250	297	547	89	236	15	5	245	13	—	—	—	—	—	—
2020	27	INTL	Bravos de Margarita	—	134	115	34	7	2	0	12	17	2	1	2	296	372	391	763	96	337	13	9	333	112	—	—	—	—	—	—
2021	28	INTL	Bravos de Margarita	—	57	53	8	1	0	0	2	4	0	0	2	151	182	170	352	19	157	7	4	158	-7	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2010	17	ROK MLE	DSL Angels	—	73	64	9	2	1	0	6	21	0	1	0	141	214	203	417	62	201	29	8	193	17	—	—	—	—	—	—
2011	18	ROK MLE	DSL Angels	—	142	115	19	3	1	0	18	17	4	4	4	165	299	209	508	43	180	12	13	235	45	—	—	—	—	—	—
2012	19	ROK MLE	DSL Angels	—	226	185	34	4	0	0	23	31	2	7	4	184	281	205	486	22	193	14	10	214	31	—	—	—	—	—	—
2013	20	ROK MLE	AZL Angels	—	209	196	41	6	4	0	9	46	0	10	3	209	244	281	525	71	259	22	4	223	37	—	—	—	—	—	—
2014	21	A MLE	Burlington Bees	—	468	432	99	4	3	0	22	75	2	21	10	229	270	252	522	23	268	16	5	231	42	—	—	—	—	—	—
2015	22	AAA MLE	Salt Lake Bees	—	18	17	4	1	0	0	1	4	0	0	0	235	278	294	572	59	281	22	6	244	51	—	—	—	—	—	—
2015	22	AA MLE	Arkansas Travelers	—	84	76	17	1	0	0	4	13	0	5	1	224	263	237	499	13	246	15	5	213	30	—	—	—	—	—	—
2015	22	A MLE	Burlington Bees	—	201	186	35	3	0	0	10	41	0	5	0	188	230	204	434	16	230	20	5	191	15	—	—	—	—	—	—
2016	23	A+ MLE	Frederick Keys	—	535	500	120	20	7	2	24	85	1	13	9	240	276	320	596	80	275	16	4	257	60	—	—	—	—	—	—
2017	24	AA MLE	Bowie Baysox	—	460	420	107	14	1	4	23	63	3	2	5	255	298	321	620	67	278	14	5	270	69	—	—	—	—	—	—
2018	25	AA MLE	Bowie Baysox	—	471	441	95	17	5	0	20	69	3	2	4	215	254	277	531	61	248	15	4	236	46	—	—	—	—	—	—
2019	26	AAA MLE	Salt Lake Bees	—	88	83	13	2	0	1	3	12	0	0	1	157	186	217	403	60	172	14	3	178	7	—	—	—	—	—	—
2019	26	AA MLE	Mobile BayBears	—	262	251	41	10	2	1	9	48	0	4	0	163	192	231	423	68	191	18	3	187	13	—	—	—	—	—	—
2010	17	ROK MLE	DSL Angels	—	73	64	9	2	1	0	6	21	0	1	0	141	214	203	417	62	205	29	8	193	17	—	—	—	—	—	—
2010	17	ROK RAW	DSL Angels	—	73	62	14	3	2	0	8	17	0	1	0	226	314	339	653	113	304	23	11	285	17	—	—	—	—	—	—
2011	18	ROK MLE	DSL Angels	—	142	115	19	3	1	0	18	17	4	4	4	165	299	209	508	43	190	12	13	235	45	—	—	—	—	—	—
2011	18	ROK RAW	DSL Angels	—	142	108	26	4	2	0	25	14	4	4	4	241	401	315	716	74	271	10	18	330	45	—	—	—	—	—	—
2012	19	ROK MLE	DSL Angels	—	226	185	34	4	0	0	23	31	2	7	4	184	281	205	486	22	217	14	10	214	31	—	—	—	—	—	—
2012	19	ROK RAW	DSL Angels	—	226	175	42	5	0	0	33	25	2	7	4	240	367	269	635	29	275	11	15	285	31	—	—	—	—	—	—
2013	20	ROK MLE	AZL Angels	—	209	196	41	6	4	0	9	46	0	10	3	209	244	281	525	71	272	22	4	223	37	—	—	—	—	—	—
2013	20	ROK RAW	AZL Angels	—	209	189	51	8	5	0	16	32	0	10	3	270	327	365	692	95	323	15	8	306	37	—	—	—	—	—	—
2014	21	A MLE	Burlington Bees	—	468	432	99	4	3	0	22	75	2	21	10	229	270	252	522	23	276	16	5	231	42	—	—	—	—	—	—
2014	21	A RAW	Burlington Bees	—	468	422	101	5	3	0	32	57	2	21	10	239	296	265	561	26	275	12	7	255	42	—	—	—	—	—	—
2015	22	A MLE	4 teams	—	445	411	81	6	0	0	22	85	0	11	4	197	238	212	450	15	246	19	5	200	22	—	—	—	—	—	—
2015	22	A RAW	4 teams	—	445	404	94	7	0	0	29	66	0	11	4	233	284	250	534	17	276	15	7	243	22	—	—	—	—	—	—
2016	23	A+ MLE	Frederick Keys	—	535	500	120	20	7	2	24	85	1	13	9	240	276	320	596	80	283	16	4	257	60	—	—	—	—	—	—
2016	23	A+ RAW	Frederick Keys	—	535	488	132	23	8	3	36	60	1	13	9	270	322	369	691	98	301	11	7	305	60	—	—	—	—	—	—
2017	24	AA MLE	2 teams	—	559	511	130	17	1	5	29	77	3	4	6	254	298	321	619	67	288	14	5	270	69	—	—	—	—	—	—
2017	24	AA RAW	2 teams	—	559	496	132	18	1	5	44	61	3	4	6	266	330	337	666	71	292	11	8	297	69	—	—	—	—	—	—
2018	25	AA MLE	2 teams	—	586	544	119	21	7	0	25	86	4	3	7	219	258	283	541	64	256	15	4	236	46	—	—	—	—	—	—
2018	25	AA RAW	2 teams	—	586	531	122	20	5	0	38	72	4	3	7	230	286	286	572	56	262	12	6	258	46	—	—	—	—	—	—
2019	26	AA MLE	2 teams	—	350	334	54	12	2	2	12	60	0	4	1	162	191	228	418	66	189	17	3	185	11	—	—	—	—	—	—
2019	26	AA RAW	2 teams	—	350	328	67	15	2	3	18	47	0	4	1	204	246	290	535	85	228	13	5	240	11	—	—	—	—	—	—
2020	27	INTL MLE	Bravos de Margarita	—	134	115	34	7	2	0	12	17	2	1	2	296	372	391	763	96	337	13	9	—	—	—	—	—	—	—	—
2020	27	INTL RAW	Bravos de Margarita	—	134	115	34	7	2	0	12	17	2	1	2	296	372	391	763	96	337	13	9	333	112	—	—	—	—	—	—
2021	28	INTL MLE	Bravos de Margarita	—	57	53	8	1	0	0	2	4	0	0	2	151	182	170	352	19	157	7	4	—	—	—	—	—	—	—	—
2021	28	INTL RAW	Bravos de Margarita	—	57	53	8	1	0	0	2	4	0	0	2	151	182	170	352	19	157	7	4	158	-7	—	—	—	—	—	—
2010	17	ROK MLE	DSL Angels	—	73	67	9	2	1	0	6	21	0	1	0	134	214	194	408	60	201	29	8	193	17	—	—	—	—	—	—
2011	18	ROK MLE	DSL Angels	—	142	119	19	3	1	0	18	17	4	4	4	160	299	202	501	42	180	12	13	235	45	—	—	—	—	—	—
2012	19	ROK MLE	DSL Angels	—	226	199	34	4	0	0	23	31	2	7	4	171	281	191	472	20	193	14	10	214	31	—	—	—	—	—	—
2013	20	ROK MLE	AZL Angels	—	209	198	41	6	4	0	9	46	0	10	3	207	244	278	522	71	259	22	4	223	37	—	—	—	—	—	—
2014	21	A MLE	Burlington Bees	—	468	441	99	4	3	0	22	75	2	21	10	224	270	247	517	23	268	16	5	231	42	—	—	—	—	—	—
2015	22	A MLE	4 teams	—	445	420	81	6	0	0	22	85	0	11	4	193	238	207	445	14	237	19	5	200	22	—	—	—	—	—	—
2016	23	A+ MLE	Frederick Keys	—	535	505	120	20	7	2	24	85	1	13	9	238	276	317	593	79	275	16	4	257	60	—	—	—	—	—	—
2017	24	AA MLE	2 teams	—	559	522	130	17	1	5	29	77	3	4	6	249	298	314	613	65	278	14	5	270	69	—	—	—	—	—	—
2018	25	AA MLE	2 teams	—	586	552	119	21	7	0	25	86	4	3	7	216	258	279	537	63	248	15	4	236	46	—	—	—	—	—	—
2019	26	AA MLE	2 teams	—	350	335	54	12	2	2	12	60	0	4	1	161	191	227	418	66	186	17	3	185	11	—	—	—	—	—	—
▸ Career Totals
Career	—	MLE		—	3784	3460	748	103	28	9	204	604	18	79	52	216	263	270	533	54	256	16	5	220	35	-294	-5	+0	+41	+82	-18.0
/ 162G	—	MLE		—	650	594	129	18	5	2	35	104	3	14	9	217	264	274	538	57	257	16	5	220	35	-50	-1	+0	+7	+14	-3.1

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.

2019 AAMobile BayBears · 262 PAwOBA .241 → .187 (−54)K% 14.5% → 18.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.50%	÷0.956	×1.220	—	—	18.51%
BB% (unintentional) /PA	5.34%	÷1.020	×0.680	—	×0.988	3.52%
HBP% /PA	0.00%	—	×0.840	—	×0.988	0.00%
Singles /BIP	16.83%	÷1.066	×0.920	×0.950	×0.988	13.64%
Doubles /BIP	5.77%	÷1.054	×0.910	×0.950	×0.988	4.67%
Triples /BIP	0.96%	÷0.902	×0.880	×0.950	×0.988	0.88%
Home runs /BIP	0.96%	÷1.050	×0.800	—	×0.988	0.72%

Factors used: league row SL. Park (home-season share, regressed): HR 110, 1B 113, 2B 111, 3B 80, K 91, BB 104 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .241 → .187; ISO .089 → .071; BABIP .236 → .191. 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 AAASalt Lake Bees · 88 PAwOBA .219 → .178 (−41)K% 10.2% → 13.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	10.23%	÷1.009	×1.290	—	—	13.08%
BB% (unintentional) /PA	4.55%	÷0.980	×0.710	—	×1.018	3.35%
HBP% /PA	0.00%	—	×0.980	—	×1.018	0.00%
Singles /BIP	16.44%	÷1.007	×0.900	×0.950	×1.018	14.21%
Doubles /BIP	4.11%	÷1.062	×0.810	×0.950	×1.018	3.03%
Triples /BIP	0.00%	÷0.900	×0.810	×0.950	×1.018	0.00%
Home runs /BIP	1.37%	÷1.059	×0.780	—	×1.018	1.03%

Factors used: league row PCL. Park (home-season share, regressed): HR 112, 1B 101, 2B 112, 3B 80, K 102, BB 96 — 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 ×0.950.

Result: wOBA .219 → .178; ISO .073 → .055; BABIP .205 → .172. 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 AABowie Baysox · 471 PAwOBA .252 → .236 (−16)K% 11.5% → 14.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	11.46%	÷0.960	×1.220	—	—	14.57%
BB% (unintentional) /PA	5.94%	÷0.978	×0.700	—	×0.998	4.25%
HBP% /PA	0.64%	—	×0.850	—	×0.998	0.54%
Singles /BIP	19.31%	÷0.996	×0.970	×1.023	×0.998	19.20%
Doubles /BIP	5.03%	÷0.971	×0.860	×1.023	×0.998	4.55%
Triples /BIP	1.32%	÷0.900	×0.950	×1.023	×0.998	1.43%
Home runs /BIP	0.00%	÷1.060	×0.780	—	×0.998	0.00%

Factors used: league row EL. Park (home-season share, regressed): HR 112, 1B 99, 2B 94, 3B 80, K 92, BB 96 — 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 ×1.023.

Result: wOBA .252 → .236; ISO .067 → .065; BABIP .253 → .248. 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 AABowie Baysox · 460 PAwOBA .289 → .270 (−19)K% 10.9% → 13.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	10.87%	÷0.970	×1.220	—	—	13.67%
BB% (unintentional) /PA	7.61%	÷1.061	×0.700	—	×1.012	5.08%
HBP% /PA	0.65%	—	×0.850	—	×1.012	0.56%
Singles /BIP	23.46%	÷0.993	×0.970	×1.023	×1.012	23.73%
Doubles /BIP	4.47%	÷1.043	×0.860	×1.023	×1.012	3.81%
Triples /BIP	0.28%	÷1.016	×0.950	×1.023	×1.012	0.27%
Home runs /BIP	1.40%	÷0.998	×0.780	—	×1.012	1.10%

Factors used: league row EL. Park (home-season share, regressed): HR 100, 1B 99, 2B 109, 3B 103, K 94, BB 112 — 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 ×1.023.

Result: wOBA .289 → .270; ISO .081 → .070; BABIP .283 → .278. 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+Frederick Keys · 535 PAwOBA .299 → .257 (−42)K% 11.2% → 15.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	11.21%	÷1.003	×1.420	—	—	15.88%
BB% (unintentional) /PA	6.73%	÷0.972	×0.630	—	×0.998	4.35%
HBP% /PA	0.19%	—	×0.860	—	×0.998	0.16%
Singles /BIP	22.90%	÷1.035	×0.940	×1.033	×0.998	21.45%
Doubles /BIP	5.37%	÷0.997	×0.830	×1.033	×0.998	4.61%
Triples /BIP	1.87%	÷0.975	×0.800	×1.033	×0.998	1.58%
Home runs /BIP	0.70%	÷1.214	×0.900	—	×0.998	0.52%

Factors used: league row CAR. Park (home-season share, regressed): HR 143, 1B 107, 2B 99, 3B 95, K 101, BB 94 — applied at half strength. Age: age 23 vs a level average of 22.8 → −0.2% on BB/HBP/hit rates (0.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.033.

Result: wOBA .299 → .257; ISO .098 → .081; BABIP .301 → .275. 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 ABurlington Bees · 201 PAwOBA .235 → .191 (−44)K% 15.4% → 20.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.42%	÷1.029	×1.360	—	—	20.38%
BB% (unintentional) /PA	6.47%	÷0.936	×0.690	—	—	4.77%
HBP% /PA	0.00%	—	×0.780	—	—	0.00%
Singles /BIP	25.66%	÷1.107	×0.920	×1.010	—	21.53%
Doubles /BIP	1.97%	÷0.992	×0.830	×1.010	—	1.67%
Triples /BIP	0.00%	÷1.150	×0.910	×1.010	—	0.00%
Home runs /BIP	0.00%	÷1.423	×0.800	—	—	0.00%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 185, 1B 121, 2B 98, 3B 130, K 106, BB 87 — applied at half strength. Age: age 22 vs a level average of 22.0 → +0.0% on BB/HBP/hit rates (0.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.010.

Result: wOBA .235 → .191; ISO .016 → .014; BABIP .275 → .230. 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 AAArkansas Travelers · 84 PAwOBA .216 → .213 (−2)K% 13.1% → 15.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.10%	÷1.047	×1.220	—	—	15.25%
BB% (unintentional) /PA	5.95%	÷0.985	×0.700	—	×1.042	4.41%
HBP% /PA	0.00%	—	×0.870	—	×1.042	0.00%
Singles /BIP	23.44%	÷1.002	×0.920	×1.050	×1.042	23.54%
Doubles /BIP	1.56%	÷1.033	×0.840	×1.050	×1.042	1.39%
Triples /BIP	0.00%	÷1.150	×0.940	×1.050	×1.042	0.00%
Home runs /BIP	0.00%	÷1.022	×0.800	—	×1.042	0.00%

Factors used: league row TL. Park (home-season share, regressed): HR 104, 1B 100, 2B 107, 3B 130, K 109, BB 97 — 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 ×1.050.

Result: wOBA .216 → .213; ISO .013 → .013; BABIP .246 → .246. 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 AAASalt Lake Bees · 18 PAwOBA .292 → .244 (−49)K% 16.7% → 22.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.67%	÷0.952	×1.290	—	—	22.60%
BB% (unintentional) /PA	11.11%	÷1.025	×0.710	—	×1.050	8.08%
HBP% /PA	0.00%	—	×0.980	—	×1.050	0.00%
Singles /BIP	23.08%	÷1.012	×0.900	—	×1.050	21.54%
Doubles /BIP	7.69%	÷1.001	×0.810	—	×1.050	6.54%
Triples /BIP	0.00%	÷0.987	×0.810	—	×1.050	0.00%
Home runs /BIP	0.00%	÷0.980	×0.780	—	×1.050	0.00%

Factors used: league row PCL. Park (home-season share, regressed): HR 96, 1B 102, 2B 100, 3B 97, K 90, BB 105 — 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).

Result: wOBA .292 → .244; ISO .062 → .051; BABIP .308 → .281. 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 — .