Allen Córdoba

PosLF

B/TR/R

Born1995-12-06

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	INTLYaquis de Obr…	282	.292/.351/.348	3	20	99	—
2025	29	INTLMexico Verde	332	.284/.390/.396	2	23	124	—
2026	30	INTLYaquis de Obr…	52	.289/.373/.400	0	0	119	—

Contract

No contract data on file.

Skills · percentileStatcast 2017

Speed90

xwOBA26

Barrel%10

Avg EV10

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	DSL Cardinals	—	152	125	34	5	1	0	19	24	5	5	3	272	389	328	717	56	337	16	12	331	40	—	—	—	—	—	—
2014	18	ROK	DSL Cardinals	—	268	244	63	9	1	2	15	46	2	14	4	258	307	328	634	70	303	17	6	281	13	—	—	—	—	—	—
2015	19	ROK	GCL Cardinals	—	229	202	69	6	2	2	15	20	7	11	3	342	406	421	827	79	366	9	7	367	76	—	—	—	—	—	—
2016	20	ROK	Johnson City Cardinals	—	220	196	71	16	5	0	21	19	2	22	4	362	429	495	924	133	399	9	10	409	98	—	—	—	—	—	—
2017	21	MLB	San Diego Padres	—	227	202	42	2	2	4	18	54	4	2	2	208	286	297	583	89	259	24	8	266	65	-9	-0	-3	-3	+5	-1.2
2017	21	INTL	Naranjeros de Hermosillo	—	62	55	13	1	0	1	5	15	1	1	1	236	311	309	621	73	308	24	8	283	78	—	—	—	—	—	—
2018	22	A+	Lake Elsinore Storm	—	164	155	32	6	2	2	4	46	2	3	4	206	236	310	546	103	275	28	2	239	9	—	—	—	—	—	—
2018	22	INTL	Panama	—	20	18	7	0	0	0	1	4	1	1	0	389	450	389	839		500	20	5	388	149	—	—	—	—	—	—
2019	23	A+	Lake Elsinore Storm	—	470	422	127	20	6	5	31	77	14	32	11	301	368	412	781	111	357	16	7	350	74	—	—	—	—	—	—
2020	24	INTL	Panama	—	28	24	8	1	0	0	4	3	0	0	1	333	429	375	804	42	381	11	14	372	138	—	—	—	—	—	—
2021	25	AA	San Antonio Missions	—	296	251	75	20	1	5	29	42	12	6	6	299	397	446	843	147	337	14	10	375	106	—	—	—	—	—	—
2021	25	INTL	Aguilas Cibaenas	—	38	32	5	1	0	0	2	7	3	0	0	156	270	188	458	31	200	18	5	224	38	—	—	—	—	—	—
2022	26	AAA	Louisville Bats	—	114	99	16	2	0	3	9	22	5	9	3	162	265	273	538	111	173	19	8	252	14	—	—	—	—	—	—
2022	26	INTL	Yaquis de Obregon	—	183	165	40	5	1	1	10	24	2	10	4	242	292	303	595	61	277	13	5	265	65	—	—	—	—	—	—
2023	27	INTL	Panama	—	336	290	92	9	4	3	32	47	7	18	11	317	398	407	805	90	369	14	10	359	129	—	—	—	—	—	—
2024	28	INTL	Yaquis de Obregon	—	282	253	74	3	1	3	15	35	8	20	4	292	351	348	699	55	329	12	5	314	99	—	—	—	—	—	—
2025	29	INTL	Mexico Verde	—	332	278	79	19	3	2	41	37	7	23	8	284	390	396	785	112	320	11	12	352	124	—	—	—	—	—	—
2026	30	INTL	Yaquis de Obregon	—	52	45	13	3	1	0	4	10	2	0	1	289	373	400	773	111	361	19	8	344	119	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	227	202	42	2	2	4	18	54	4	2	2	208	286	297	583	89	259	24	8	266	66	-9	-0	-3	-3	+5	-1.1
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2013	17	ROK MLE	DSL Cardinals	—	152	131	24	3	1	0	13	29	5	5	3	183	282	221	503	38	228	19	9	228	40	—	—	—	—	—	—
2014	18	ROK MLE	DSL Cardinals	—	268	249	44	6	1	1	10	56	2	14	4	177	215	221	435	44	206	21	4	188	13	—	—	—	—	—	—
2015	19	ROK MLE	GCL Cardinals	—	229	208	55	4	1	2	9	29	7	11	3	264	317	322	639	58	289	13	4	280	76	—	—	—	—	—	—
2016	20	ROK MLE	Johnson City Cardinals	—	220	204	59	12	4	0	13	27	2	22	4	289	338	387	725	98	325	12	6	313	98	—	—	—	—	—	—
2017	21	MLB MLE	San Diego Padres	—	227	203	42	2	2	4	17	54	4	2	2	207	281	296	577	89	259	24	7	264	65	-9	-0	-3	-3	+5	-1.2
2018	22	A+ MLE	Lake Elsinore Storm	—	164	156	24	4	1	2	3	64	2	3	4	154	180	231	411	77	237	39	2	181	9	—	—	—	—	—	—
2019	23	A+ MLE	Lake Elsinore Storm	—	470	432	106	16	5	5	21	104	14	32	11	245	302	340	642	95	304	22	4	278	74	—	—	—	—	—	—
2021	25	AA MLE	San Antonio Missions	—	296	261	71	19	1	5	19	54	12	6	6	272	349	410	759	138	309	18	6	325	106	—	—	—	—	—	—
2022	26	AAA MLE	Louisville Bats	—	114	102	14	2	0	2	6	28	5	9	3	137	221	216	437	78	151	25	5	189	14	—	—	—	—	—	—
2013	17	ROK MLE	DSL Cardinals	—	152	131	24	3	1	0	13	29	5	5	3	183	282	221	503	38	235	19	9	228	40	—	—	—	—	—	—
2013	17	ROK RAW	DSL Cardinals	—	152	125	34	5	1	0	19	24	5	5	3	272	389	328	717	56	337	16	12	331	40	—	—	—	—	—	—
2014	18	ROK MLE	DSL Cardinals	—	268	249	44	6	1	1	10	56	2	14	4	177	215	221	435	44	218	21	4	188	13	—	—	—	—	—	—
2014	18	ROK RAW	DSL Cardinals	—	268	244	63	9	1	2	15	46	2	14	4	258	307	328	634	70	303	17	6	281	13	—	—	—	—	—	—
2015	19	ROK MLE	GCL Cardinals	—	229	208	55	4	1	2	9	29	7	11	3	264	317	322	639	58	294	13	4	280	76	—	—	—	—	—	—
2015	19	ROK RAW	GCL Cardinals	—	229	202	69	6	2	2	15	20	7	11	3	342	406	421	827	79	366	9	7	367	76	—	—	—	—	—	—
2016	20	ROK MLE	Johnson City Cardinals	—	220	204	59	12	4	0	13	27	2	22	4	289	338	387	725	98	331	12	6	313	98	—	—	—	—	—	—
2016	20	ROK RAW	Johnson City Cardinals	—	220	196	71	16	5	0	21	19	2	22	4	362	429	495	924	133	399	9	10	409	98	—	—	—	—	—	—
2017	21	MLB MLE	2 teams	—	289	258	55	3	3	5	22	69	5	3	3	213	288	306	594	93	267	24	8	264	65	-12	-1	-3	-3	+6	-1.3
2017	21	MLB RAW	2 teams	—	289	257	55	3	2	5	23	69	5	3	3	214	291	300	591	86	269	24	8	270	65	-12	-1	-3	-3	+6	-1.3
2018	22	A+ MLE	2 teams	—	184	175	28	5	2	2	3	72	3	4	4	160	188	246	434	86	252	39	2	181	9	—	—	—	—	—	—
2018	22	A+ RAW	2 teams	—	184	173	39	6	2	2	5	50	3	4	4	225	260	318	578	92	301	27	3	256	9	—	—	—	—	—	—
2019	23	A+ MLE	Lake Elsinore Storm	—	470	432	106	16	5	5	21	104	14	32	11	245	302	340	642	95	311	22	4	278	74	—	—	—	—	—	—
2019	23	A+ RAW	Lake Elsinore Storm	—	470	422	127	20	6	5	31	77	14	32	11	301	368	412	781	111	357	16	7	350	74	—	—	—	—	—	—
2020	24	INTL MLE	Panama	—	28	24	8	1	0	0	4	3	0	0	1	333	429	375	804	42	381	11	14	—	—	—	—	—	—	—	—
2020	24	INTL RAW	Panama	—	28	24	8	1	0	0	4	3	0	0	1	333	429	375	804	42	381	11	14	372	138	—	—	—	—	—	—
2021	25	AA MLE	2 teams	—	334	292	79	21	1	5	22	61	15	6	6	271	353	401	753	130	322	18	7	325	106	—	—	—	—	—	—
2021	25	AA RAW	2 teams	—	334	283	80	21	1	5	31	49	15	6	6	283	383	417	800	134	322	15	9	358	106	—	—	—	—	—	—
2022	26	INTL MLE	2 teams	—	297	268	33	4	0	4	16	72	7	19	7	123	192	183	375	60	149	24	5	189	14	—	—	—	—	—	—
2022	26	INTL RAW	2 teams	—	297	264	56	7	1	4	19	46	7	19	7	212	282	292	573	80	241	15	6	260	14	—	—	—	—	—	—
2023	27	INTL MLE	Panama	—	336	290	92	9	4	3	32	47	7	18	11	317	398	407	805	90	369	14	10	—	—	—	—	—	—	—	—
2023	27	INTL RAW	Panama	—	336	290	92	9	4	3	32	47	7	18	11	317	398	407	805	90	369	14	10	359	129	—	—	—	—	—	—
2024	28	INTL MLE	Yaquis de Obregon	—	282	253	74	3	1	3	15	35	8	20	4	292	351	348	699	55	329	12	5	—	—	—	—	—	—	—	—
2024	28	INTL RAW	Yaquis de Obregon	—	282	253	74	3	1	3	15	35	8	20	4	292	351	348	699	55	329	12	5	314	99	—	—	—	—	—	—
2025	29	INTL MLE	Mexico Verde	—	332	278	79	19	3	2	41	37	7	23	8	284	390	396	785	112	320	11	12	—	—	—	—	—	—	—	—
2025	29	INTL RAW	Mexico Verde	—	332	278	79	19	3	2	41	37	7	23	8	284	390	396	785	112	320	11	12	352	124	—	—	—	—	—	—
2026	30	INTL MLE	Yaquis de Obregon	—	52	45	13	3	1	0	4	10	2	0	1	289	373	400	773	111	361	19	8	—	—	—	—	—	—	—	—
2026	30	INTL RAW	Yaquis de Obregon	—	52	45	13	3	1	0	4	10	2	0	1	289	373	400	773	111	361	19	8	344	119	—	—	—	—	—	—
2013	17	ROK MLE	DSL Cardinals	—	152	133	24	3	1	0	13	29	5	5	3	180	282	218	500	38	228	19	9	228	40	—	—	—	—	—	—
2014	18	ROK MLE	DSL Cardinals	—	268	254	44	6	1	1	10	56	2	14	4	173	215	217	431	43	206	21	4	188	13	—	—	—	—	—	—
2015	19	ROK MLE	GCL Cardinals	—	229	211	55	4	1	2	9	29	7	11	3	261	317	318	634	57	289	13	4	280	76	—	—	—	—	—	—
2016	20	ROK MLE	Johnson City Cardinals	—	220	203	59	12	4	0	13	27	2	22	4	291	338	389	727	99	325	12	6	313	98	—	—	—	—	—	—
2017	21	MLB MLE	2 teams	—	289	260	55	3	3	5	22	69	5	3	3	212	288	304	592	92	259	24	8	264	65	—	—	—	—	—	—
2018	22	A+ MLE	2 teams	—	184	176	28	5	2	2	3	72	3	4	4	159	188	244	432	85	237	39	2	181	9	—	—	—	—	—	—
2019	23	A+ MLE	Lake Elsinore Storm	—	470	432	106	16	5	5	21	104	14	32	11	245	302	340	642	95	304	22	4	278	74	—	—	—	—	—	—
2021	25	AA MLE	2 teams	—	334	294	79	21	1	5	22	61	15	6	6	269	353	398	751	129	309	18	7	325	106	—	—	—	—	—	—
2022	26	INTL MLE	2 teams	—	297	272	33	4	0	4	16	72	7	19	7	121	192	180	373	59	151	24	5	189	14	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	227	202	42	2	2	4	18	54	4	2	2	208	286	297	583	89	259	24	8	266	8	-9	-0	-3	-3	+5	-1.1
/ 162G	—	A+C		—	650	578	120	6	6	11	52	155	11	6	6	208	285	296	581	88	259	24	8	266	8	-26	-1	-10	-9	+14	-3.3
Career	—	MLE		—	3473	3107	749	109	27	32	225	651	84	177	70	241	310	324	634	83	293	19	6	179	8	-9	-0	-3	-3	+5	-1.1
/ 162G	—	MLE		—	650	582	140	20	5	6	42	122	16	33	13	241	310	323	633	82	292	19	6	179	8	-26	-1	-10	-9	+14	-3.3

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.

2022 AAALouisville Bats · 114 PAwOBA .248 → .189 (−58)K% 19.3% → 24.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.30%	÷0.958	×1.200	—	—	24.19%
BB% (unintentional) /PA	7.89%	÷1.023	×0.690	—	×1.003	5.34%
HBP% /PA	4.39%	—	×0.940	—	×1.003	4.14%
Singles /BIP	14.29%	÷0.996	×0.930	×0.957	×1.003	12.80%
Doubles /BIP	2.60%	÷0.955	×0.830	×0.957	×1.003	2.17%
Triples /BIP	0.00%	÷0.900	×0.970	×0.957	×1.003	0.00%
Home runs /BIP	3.90%	÷1.282	×0.700	—	×1.003	2.13%

Factors used: league row International League. Park (home-season share, regressed): HR 156, 1B 99, 2B 91, 3B 80, K 92, BB 105 — 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 ×0.957.

Result: wOBA .248 → .189; ISO .111 → .065; BABIP .173 → .151. 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).

2021 AASan Antonio Missions · 296 PAwOBA .371 → .325 (−46)K% 14.2% → 18.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.19%	÷0.949	×1.220	—	—	18.25%
BB% (unintentional) /PA	9.80%	÷1.028	×0.690	—	×0.988	6.50%
HBP% /PA	4.05%	—	×0.850	—	×0.988	3.40%
Singles /BIP	23.44%	÷0.989	×0.940	×0.986	×0.988	21.70%
Doubles /BIP	9.57%	÷0.925	×0.870	×0.986	×0.988	8.77%
Triples /BIP	0.48%	÷1.071	×0.920	×0.986	×0.988	0.40%
Home runs /BIP	2.39%	÷0.868	×0.780	—	×0.988	2.12%

Factors used: level-wide AA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 74, 1B 98, 2B 85, 3B 114, K 90, BB 106 — 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 ×0.986.

Result: wOBA .371 → .325; ISO .147 → .135; BABIP .337 → .309. 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 A+Lake Elsinore Storm · 470 PAwOBA .341 → .278 (−63)K% 16.4% → 22.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.38%	÷0.987	×1.340	—	—	22.25%
BB% (unintentional) /PA	6.17%	÷0.977	×0.710	—	×0.988	4.43%
HBP% /PA	2.98%	—	×0.790	—	×0.988	2.32%
Singles /BIP	27.83%	÷0.990	×0.910	×0.950	×0.988	24.00%
Doubles /BIP	5.80%	÷0.940	×0.820	×0.950	×0.988	4.75%
Triples /BIP	1.74%	÷0.900	×0.760	×0.950	×0.988	1.38%
Home runs /BIP	1.45%	÷0.900	×0.920	—	×0.988	1.46%

Factors used: league row CAL. Park (home-season share, regressed): HR 80, 1B 98, 2B 88, 3B 80, K 97, BB 95 — applied at half strength. Age: age 24 vs a level average of 22.8 → −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 .341 → .278; ISO .111 → .094; BABIP .357 → .304. 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 A+Lake Elsinore Storm · 164 PAwOBA .236 → .181 (−55)K% 28.0% → 38.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	28.05%	÷0.966	×1.340	—	—	38.92%
BB% (unintentional) /PA	2.44%	÷1.087	×0.710	—	×0.998	1.59%
HBP% /PA	1.22%	—	×0.790	—	×0.998	0.96%
Singles /BIP	20.18%	÷1.020	×0.910	×0.993	×0.998	17.84%
Doubles /BIP	5.50%	÷1.038	×0.820	×0.993	×0.998	4.31%
Triples /BIP	1.83%	÷0.900	×0.760	×0.993	×0.998	1.54%
Home runs /BIP	1.83%	÷0.839	×0.920	—	×0.998	2.01%

Factors used: league row CAL. Park (home-season share, regressed): HR 68, 1B 104, 2B 108, 3B 80, K 93, BB 117 — 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 ×0.993.

Result: wOBA .236 → .181; ISO .103 → .083; BABIP .275 → .237. 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 ROKJohnson City Cardinals · 220 PAwOBA .400 → .313 (−88)K% 8.6% → 12.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	8.64%	÷1.000	×1.420	—	—	12.26%
BB% (unintentional) /PA	9.55%	÷1.000	×0.640	—	×0.985	6.02%
HBP% /PA	0.91%	—	×0.740	—	×0.985	0.66%
Singles /BIP	28.25%	÷1.000	×0.840	×1.021	×0.985	23.87%
Doubles /BIP	9.04%	÷1.000	×0.740	×1.021	×0.985	6.73%
Triples /BIP	2.82%	÷1.000	×0.740	×1.021	×0.985	2.10%
Home runs /BIP	0.00%	÷1.000	×0.800	—	×0.985	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 21 vs a level average of 19.5 → −1.5% on BB/HBP/hit rates (1.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.021.

Result: wOBA .400 → .313; ISO .133 → .099; BABIP .399 → .325. 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 ROKGCL Cardinals · 229 PAwOBA .363 → .280 (−82)K% 8.7% → 12.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	8.73%	÷1.000	×1.440	—	—	12.58%
BB% (unintentional) /PA	6.55%	÷1.000	×0.620	—	×0.995	4.04%
HBP% /PA	3.06%	—	×0.720	—	×0.995	2.19%
Singles /BIP	32.42%	÷1.000	×0.820	×0.983	×0.995	26.00%
Doubles /BIP	3.30%	÷1.000	×0.720	×0.983	×0.995	2.32%
Triples /BIP	1.10%	÷1.000	×0.720	×0.983	×0.995	0.77%
Home runs /BIP	1.10%	÷1.000	×0.780	—	×0.995	0.85%

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 20 vs a level average of 19.5 → −0.5% on BB/HBP/hit rates (0.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.983.

Result: wOBA .363 → .280; ISO .079 → .059; BABIP .366 → .289. 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 DSLDSL Cardinals · 268 PAwOBA .279 → .188 (−91)K% 17.2% → 20.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.16%	÷1.000	×1.220	—	—	20.94%
BB% (unintentional) /PA	5.60%	÷1.000	×0.700	—	×0.995	3.90%
HBP% /PA	0.75%	—	×0.700	—	×0.995	0.52%
Singles /BIP	25.76%	÷1.000	×0.680	×1.028	×0.995	17.91%
Doubles /BIP	4.55%	÷1.000	×0.600	×1.028	×0.995	2.79%
Triples /BIP	0.51%	÷1.000	×0.600	×1.028	×0.995	0.31%
Home runs /BIP	1.01%	÷1.000	×0.470	—	×0.995	0.47%

Factors used: level-wide DSL 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 19 vs a level average of 18.5 → −0.5% on BB/HBP/hit rates (0.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.028.

Result: wOBA .279 → .188; ISO .070 → .040; BABIP .303 → .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).

2013 DSLDSL Cardinals · 152 PAwOBA .323 → .228 (−96)K% 15.8% → 19.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.79%	÷1.000	×1.220	—	—	19.26%
BB% (unintentional) /PA	12.50%	÷1.000	×0.700	—	×1.008	8.82%
HBP% /PA	3.29%	—	×0.700	—	×1.008	2.32%
Singles /BIP	27.72%	÷1.000	×0.680	×1.009	×1.008	19.17%
Doubles /BIP	4.95%	÷1.000	×0.600	×1.009	×1.008	3.02%
Triples /BIP	0.99%	÷1.000	×0.600	×1.009	×1.008	0.60%
Home runs /BIP	0.00%	÷1.000	×0.470	—	×1.008	0.00%

Factors used: level-wide DSL 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 18.5 → +0.8% on BB/HBP/hit rates (0.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.009.

Result: wOBA .323 → .228; ISO .056 → .036; BABIP .337 → .228. 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 — .