Steven Moya

PosRF

B/TL/R

Born1991-08-09

Age (2027)35

No MLB projection yet. Career stats below are historical.

Overview

INTLLAST SEASON 2023

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	wRC+	WAR
2021	29	INTLToros del Este	19	.211/.211/.316	0	40	—
2022	30	INTLToros del Este	23	.238/.304/.333	0	83	—
2023	31	INTLCaneros de lo…	70	.215/.257/.338	2	66	—

Contract

No contract data on file.

Scouting grades · 20-80

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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)
2009	17	ROK	DSL Tigers	—	255	218	55	8	0	6	33	58	4	4	2	252	361	372	732	119	318	23	13	337	31	—	—	—	—	—	—
2010	18	ROK	GCL Tigers	—	144	137	26	5	2	2	6	64	1	0	0	190	229	299	528	109	338	44	4	237	-34	—	—	—	—	—	—
2011	19	A	West Michigan Whitecaps	—	337	323	66	10	1	13	12	127	1	1	1	204	235	362	597	158	288	38	4	263	5	—	—	—	—	—	—
2012	20	A	West Michigan Whitecaps	—	258	243	70	14	3	9	11	59	1	5	3	288	322	481	803	193	345	23	4	348	75	—	—	—	—	—	—
2013	21	A+	Lakeland Flying Tigers	—	388	365	93	19	5	12	18	106	4	6	0	255	297	433	730	178	327	27	5	321	47	—	—	—	—	—	—
2014	22	AA	Erie SeaWolves	—	549	515	142	33	3	35	23	161	3	16	4	276	311	555	866	280	327	29	4	369	95	—	—	—	—	—	—
2014	22	INTL	Glendale Desert Dogs	—	98	90	26	6	1	5	6	29	0	5	2	289	333	544	878	256	362	30	6	373	139	—	—	—	—	—	—
2015	23	MLB	Detroit Tigers	—	25	22	4	0	1	0	3	10	0	0	0	182	280	273	553	91	333	40	12	257	61	-1	+0	+0	-8	+1	-0.9
2015	23	AAA	Toledo Mud Hens	—	535	500	120	30	0	20	27	162	4	5	4	240	284	420	704	180	312	30	5	309	61	—	—	—	—	—	—
2015	23	A+	Lakeland Flying Tigers	—	42	40	11	3	0	3	1	13	0	0	0	275	293	575	868	300	320	31	2	365	73	—	—	—	—	—	—
2015	23	INTL	Toros del Este	—	143	131	39	8	1	4	10	34	1	0	1	298	352	466	818	168	372	24	7	360	130	—	—	—	—	—	—
2016	24	MLB	Detroit Tigers	—	100	94	24	4	2	5	5	38	0	0	1	255	293	500	793	245	365	38	5	340	122	+3	-0	-6	-6	+2	-0.7
2016	24	AAA	Toledo Mud Hens	—	426	409	116	23	3	20	15	96	1	3	0	284	311	501	812	218	327	23	4	353	85	—	—	—	—	—	—
2017	25	AAA	Toledo Mud Hens	—	162	151	25	2	2	7	11	61	0	3	0	166	222	344	567	179	217	38	7	251	11	—	—	—	—	—	—
2017	25	AA	Erie SeaWolves	—	246	224	55	10	1	11	19	65	1	2	0	246	307	446	754	201	293	26	8	330	51	—	—	—	—	—	—
2017	25	INTL	Toros del Este	—	77	69	14	3	0	2	7	16	1	1	0	203	286	333	619	130	235	21	9	283	78	—	—	—	—	—	—
2021	29	INTL	Toros del Este	—	19	19	4	0	1	0	0	7	0	0	0	211	211	316	526	105	333	37	0	228	40	—	—	—	—	—	—
2022	30	INTL	Toros del Este	—	23	21	5	2	0	0	2	6	0	0	0	238	304	333	638	95	333	26	9	290	83	—	—	—	—	—	—
2023	31	INTL	Caneros de los Mochis	—	70	65	14	2	0	2	4	13	0	0	0	215	257	338	596	123	240	19	6	265	66	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	125	116	28	4	3	5	8	48	0	0	1	241	290	457	747	216	359	38	6	324	105	+1	-0	-6	-14	+3	-1.6
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2009	17	ROK MLE	DSL Tigers	—	255	228	36	5	0	3	23	71	4	4	2	158	247	219	466	61	213	28	9	214	31	—	—	—	—	—	—
2010	18	ROK MLE	GCL Tigers	—	144	139	13	2	1	1	4	92	1	0	0	94	125	144	269	50	254	64	3	118	-34	—	—	—	—	—	—
2011	19	A MLE	West Michigan Whitecaps	—	337	328	46	7	1	9	7	178	1	1	1	140	161	250	411	110	255	53	2	175	5	—	—	—	—	—	—
2012	20	A MLE	West Michigan Whitecaps	—	258	247	59	11	3	8	7	82	1	5	3	239	263	405	668	166	312	32	3	279	75	—	—	—	—	—	—
2013	21	A+ MLE	Lakeland Flying Tigers	—	388	370	72	16	3	9	13	148	4	6	0	195	230	327	557	132	291	38	3	238	47	—	—	—	—	—	—
2014	22	AA MLE	Erie SeaWolves	—	549	523	125	30	2	27	15	193	3	16	4	239	264	459	723	220	308	35	3	309	95	—	—	—	—	—	—
2015	23	MLB MLE	Detroit Tigers	—	25	22	4	0	1	0	3	10	0	0	0	182	280	273	553	91	333	40	12	259	61	-1	+0	+0	-8	+1	-0.9
2015	23	AAA MLE	Toledo Mud Hens	—	535	509	107	23	0	18	18	194	4	5	4	210	243	361	604	151	291	36	3	259	61	—	—	—	—	—	—
2015	23	A+ MLE	Lakeland Flying Tigers	—	42	41	8	2	0	2	0	19	0	0	0	195	195	390	585	195	297	45	0	276	73	—	—	—	—	—	—
2016	24	MLB MLE	Detroit Tigers	—	100	94	24	4	2	5	5	38	0	0	1	255	293	500	793	245	365	38	5	348	122	+3	-0	-6	-6	+2	-0.7
2016	24	AAA MLE	Toledo Mud Hens	—	426	415	101	17	2	19	9	114	1	3	0	243	261	431	693	188	289	27	2	294	85	—	—	—	—	—	—
2017	25	AAA MLE	Toledo Mud Hens	—	162	155	20	2	2	5	7	73	0	3	0	129	167	265	431	135	188	45	4	184	11	—	—	—	—	—	—
2017	25	AA MLE	Erie SeaWolves	—	246	231	44	8	1	6	12	81	1	2	0	190	234	312	545	121	261	33	5	243	51	—	—	—	—	—	—
2009	17	ROK MLE	DSL Tigers	—	255	228	36	5	0	3	23	71	4	4	2	158	247	219	466	61	214	28	9	214	31	—	—	—	—	—	—
2009	17	ROK RAW	DSL Tigers	—	255	218	55	8	0	6	33	58	4	4	2	252	361	372	732	119	318	23	13	337	31	—	—	—	—	—	—
2010	18	ROK MLE	GCL Tigers	—	144	139	13	2	1	1	4	92	1	0	0	94	125	144	269	50	261	64	3	118	-34	—	—	—	—	—	—
2010	18	ROK RAW	GCL Tigers	—	144	137	26	5	2	2	6	64	1	0	0	190	229	299	528	109	338	44	4	237	-34	—	—	—	—	—	—
2011	19	A MLE	West Michigan Whitecaps	—	337	328	46	7	1	9	7	178	1	1	1	140	161	250	411	110	261	53	2	175	5	—	—	—	—	—	—
2011	19	A RAW	West Michigan Whitecaps	—	337	323	66	10	1	13	12	127	1	1	1	204	235	362	597	158	288	38	4	263	5	—	—	—	—	—	—
2012	20	A MLE	West Michigan Whitecaps	—	258	247	59	11	3	8	7	82	1	5	3	239	263	405	668	166	321	32	3	279	75	—	—	—	—	—	—
2012	20	A RAW	West Michigan Whitecaps	—	258	243	70	14	3	9	11	59	1	5	3	288	322	481	803	193	345	23	4	348	75	—	—	—	—	—	—
2013	21	A+ MLE	Lakeland Flying Tigers	—	388	370	72	16	3	9	13	148	4	6	0	195	230	327	557	132	294	38	3	238	47	—	—	—	—	—	—
2013	21	A+ RAW	Lakeland Flying Tigers	—	388	365	93	19	5	12	18	106	4	6	0	255	297	433	730	178	327	27	5	321	47	—	—	—	—	—	—
2014	22	AA MLE	2 teams	—	647	616	148	35	3	32	18	227	3	21	6	240	265	463	728	222	316	35	3	309	95	—	—	—	—	—	—
2014	22	AA RAW	2 teams	—	647	605	168	39	4	40	29	190	3	21	6	278	314	554	868	276	332	29	4	370	95	—	—	—	—	—	—
2015	23	AAA MLE	4 teams	—	745	708	147	31	1	25	26	276	5	5	5	208	241	360	601	153	296	37	3	260	62	—	—	—	—	—	—
2015	23	AAA RAW	4 teams	—	745	693	174	41	2	27	41	219	5	5	5	251	298	433	731	182	325	29	6	320	62	—	—	—	—	—	—
2016	24	AAA MLE	2 teams	—	526	509	125	21	4	24	14	152	1	3	1	246	267	444	711	198	301	29	3	304	92	—	—	—	—	—	—
2016	24	AAA RAW	2 teams	—	526	503	140	27	5	25	20	134	1	3	1	278	307	501	808	223	332	25	4	351	92	—	—	—	—	—	—
2017	25	AA MLE	3 teams	—	485	458	77	12	3	14	23	183	2	6	0	168	211	299	510	131	240	38	5	220	35	—	—	—	—	—	—
2017	25	AA RAW	3 teams	—	485	444	94	15	3	20	37	142	2	6	0	212	275	394	670	182	261	29	8	296	35	—	—	—	—	—	—
2021	29	INTL MLE	Toros del Este	—	19	19	4	0	1	0	0	7	0	0	0	211	211	316	526	105	333	37	0	—	—	—	—	—	—	—	—
2021	29	INTL RAW	Toros del Este	—	19	19	4	0	1	0	0	7	0	0	0	211	211	316	526	105	333	37	0	228	40	—	—	—	—	—	—
2022	30	INTL MLE	Toros del Este	—	23	21	5	2	0	0	2	6	0	0	0	238	304	333	638	95	333	26	9	—	—	—	—	—	—	—	—
2022	30	INTL RAW	Toros del Este	—	23	21	5	2	0	0	2	6	0	0	0	238	304	333	638	95	333	26	9	290	83	—	—	—	—	—	—
2023	31	INTL MLE	Caneros de los Mochis	—	70	65	14	2	0	2	4	13	0	0	0	215	257	338	596	123	240	19	6	—	—	—	—	—	—	—	—
2023	31	INTL RAW	Caneros de los Mochis	—	70	65	14	2	0	2	4	13	0	0	0	215	257	338	596	123	240	19	6	265	66	—	—	—	—	—	—
2009	17	ROK MLE	DSL Tigers	—	255	226	36	5	0	3	23	71	4	4	2	159	247	221	468	62	213	28	9	214	31	—	—	—	—	—	—
2010	18	ROK MLE	GCL Tigers	—	144	138	13	2	1	1	4	92	1	0	0	94	125	145	270	51	254	64	3	118	-34	—	—	—	—	—	—
2011	19	A MLE	West Michigan Whitecaps	—	337	326	46	7	1	9	7	178	1	1	1	141	161	252	412	110	255	53	2	175	5	—	—	—	—	—	—
2012	20	A MLE	West Michigan Whitecaps	—	258	248	59	11	3	8	7	82	1	5	3	238	263	403	666	165	312	32	3	279	75	—	—	—	—	—	—
2013	21	A+ MLE	Lakeland Flying Tigers	—	388	368	72	16	3	9	13	148	4	6	0	196	230	329	559	133	291	38	3	238	47	—	—	—	—	—	—
2014	22	AA MLE	2 teams	—	647	621	148	35	3	32	18	227	3	21	6	238	265	459	724	221	308	35	3	309	95	—	—	—	—	—	—
2015	23	AAA MLE	4 teams	—	745	708	147	31	1	25	26	276	5	5	5	208	241	360	601	153	293	37	3	260	62	—	—	—	—	—	—
2016	24	AAA MLE	2 teams	—	526	506	125	21	4	24	14	152	1	3	1	247	267	447	714	200	304	29	3	304	92	—	—	—	—	—	—
2017	25	AA MLE	3 teams	—	485	457	77	12	3	14	23	183	2	6	0	168	211	300	511	131	232	38	5	220	35	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	125	116	28	4	3	5	8	48	0	0	1	241	290	457	747	216	359	38	6	324	52	+1	-0	-6	-14	+3	-1.6
/ 162G	—	A+C		—	650	603	146	21	16	26	42	250	0	0	5	242	291	459	751	217	361	38	6	324	52	+4	-2	-29	-71	+14	-8.5
Career	—	MLE		—	3897	3708	746	144	20	127	141	1435	22	51	18	201	235	354	588	152	285	37	4	245	52	+1	-0	-6	-14	+3	-1.6
/ 162G	—	MLE		—	650	618	124	24	3	21	24	239	4	9	3	201	235	351	586	150	285	37	4	245	52	+4	-2	-29	-71	+14	-8.5

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.

2017 AAErie SeaWolves · 246 PAwOBA .322 → .243 (−79)K% 26.4% → 33.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	26.42%	÷0.973	×1.220	—	—	33.13%
BB% (unintentional) /PA	7.32%	÷1.059	×0.700	—	×0.988	4.78%
HBP% /PA	0.41%	—	×0.850	—	×0.988	0.34%
Singles /BIP	20.75%	÷1.020	×0.970	×0.985	×0.988	19.21%
Doubles /BIP	6.29%	÷0.944	×0.860	×0.985	×0.988	5.58%
Triples /BIP	0.63%	÷1.094	×0.950	×0.985	×0.988	0.53%
Home runs /BIP	6.92%	÷1.259	×0.780	—	×0.988	4.23%

Factors used: league row EL. Park (home-season share, regressed): HR 152, 1B 104, 2B 89, 3B 119, K 95, BB 112 — 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 ×0.985.

Result: wOBA .322 → .243; ISO .201 → .131; BABIP .293 → .261. 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 AAAToledo Mud Hens · 162 PAwOBA .241 → .184 (−57)K% 37.7% → 45.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	37.65%	÷1.004	×1.200	—	—	45.01%
BB% (unintentional) /PA	6.17%	÷0.996	×0.690	—	×1.018	4.35%
HBP% /PA	0.00%	—	×0.940	—	×1.018	0.00%
Singles /BIP	15.56%	÷1.054	×0.930	×0.982	×1.018	13.73%
Doubles /BIP	2.22%	÷0.916	×0.830	×0.982	×1.018	2.01%
Triples /BIP	2.22%	÷1.150	×0.970	×0.982	×1.018	1.87%
Home runs /BIP	7.78%	÷1.049	×0.840	—	×1.018	6.34%

Factors used: league row IL. Park (home-season share, regressed): HR 110, 1B 111, 2B 83, 3B 130, K 101, BB 99 — 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 ×0.982.

Result: wOBA .241 → .184; ISO .179 → .135; BABIP .217 → .188. 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 AAAToledo Mud Hens · 426 PAwOBA .342 → .294 (−48)K% 22.5% → 26.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.54%	÷1.009	×1.200	—	—	26.79%
BB% (unintentional) /PA	3.05%	÷1.004	×0.690	—	×1.033	2.17%
HBP% /PA	0.23%	—	×0.940	—	×1.033	0.23%
Singles /BIP	22.36%	÷1.001	×0.930	×0.970	×1.033	20.82%
Doubles /BIP	7.35%	÷1.092	×0.830	×0.970	×1.033	5.60%
Triples /BIP	0.96%	÷1.150	×0.970	×0.970	×1.033	0.81%
Home runs /BIP	6.39%	÷0.899	×0.840	—	×1.033	6.17%

Factors used: league row IL. Park (home-season share, regressed): HR 80, 1B 100, 2B 118, 3B 130, K 102, BB 101 — applied at half strength. Age: age 25 vs a level average of 27.2 → +3.3% on BB/HBP/hit rates (2.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.970.

Result: wOBA .342 → .294; ISO .218 → .190; BABIP .327 → .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).

2015 AAAToledo Mud Hens · 535 PAwOBA .302 → .259 (−43)K% 30.3% → 36.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	30.28%	÷1.000	×1.200	—	—	36.35%
BB% (unintentional) /PA	5.05%	÷1.085	×0.690	—	×1.048	3.36%
HBP% /PA	0.75%	—	×0.940	—	×1.048	0.74%
Singles /BIP	20.71%	÷0.988	×0.930	×1.007	×1.048	20.56%
Doubles /BIP	8.88%	÷1.083	×0.830	×1.007	×1.048	7.18%
Triples /BIP	0.00%	÷1.150	×0.970	×1.007	×1.048	0.00%
Home runs /BIP	5.92%	÷0.911	×0.840	—	×1.048	5.72%

Factors used: league row IL. Park (home-season share, regressed): HR 82, 1B 98, 2B 117, 3B 130, K 100, BB 117 — 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 ×1.007.

Result: wOBA .302 → .259; ISO .180 → .155; BABIP .312 → .291. 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+Lakeland Flying Tigers · 42 PAwOBA .354 → .276 (−78)K% 31.0% → 45.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	30.95%	÷0.962	×1.420	—	—	45.67%
BB% (unintentional) /PA	0.00%	÷1.116	×0.750	—	×0.988	0.00%
HBP% /PA	0.00%	—	×0.930	—	×0.988	0.00%
Singles /BIP	18.52%	÷0.976	×0.920	—	×0.988	17.25%
Doubles /BIP	11.11%	÷0.973	×0.960	—	×0.988	10.83%
Triples /BIP	0.00%	÷0.913	×0.810	—	×0.988	0.00%
Home runs /BIP	11.11%	÷0.981	×0.880	—	×0.988	9.85%

Factors used: league row FSL. Park (home-season share, regressed): HR 96, 1B 95, 2B 95, 3B 83, K 92, BB 123 — 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).

Result: wOBA .354 → .276; ISO .300 → .230; BABIP .320 → .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).

2014 AAErie SeaWolves · 549 PAwOBA .362 → .309 (−53)K% 29.3% → 35.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	29.33%	÷1.020	×1.220	—	—	35.09%
BB% (unintentional) /PA	3.83%	÷0.981	×0.700	—	×1.027	2.80%
HBP% /PA	0.55%	—	×0.850	—	×1.027	0.48%
Singles /BIP	20.06%	÷1.042	×0.970	×1.014	×1.027	19.45%
Doubles /BIP	9.32%	÷0.945	×0.860	×1.014	×1.027	8.83%
Triples /BIP	0.85%	÷1.150	×0.950	×1.014	×1.027	0.73%
Home runs /BIP	9.89%	÷0.975	×0.780	—	×1.027	8.12%

Factors used: league row EL. Park (home-season share, regressed): HR 95, 1B 108, 2B 89, 3B 130, K 104, BB 96 — applied at half strength. Age: age 23 vs a level average of 24.8 → +2.7% on BB/HBP/hit rates (1.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.014.

Result: wOBA .362 → .309; ISO .280 → .228; BABIP .327 → .308. 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 A+Lakeland Flying Tigers · 388 PAwOBA .313 → .238 (−74)K% 27.3% → 38.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	27.32%	÷1.018	×1.420	—	—	38.12%
BB% (unintentional) /PA	4.64%	÷1.045	×0.750	—	×1.012	3.37%
HBP% /PA	1.03%	—	×0.930	—	×1.012	0.97%
Singles /BIP	22.01%	÷1.011	×0.920	×0.963	×1.012	19.52%
Doubles /BIP	7.34%	÷0.944	×0.960	×0.963	×1.012	7.27%
Triples /BIP	1.93%	÷1.150	×0.810	×0.963	×1.012	1.33%
Home runs /BIP	4.63%	÷1.067	×0.880	—	×1.012	3.87%

Factors used: league row FSL. Park (home-season share, regressed): HR 113, 1B 102, 2B 89, 3B 130, K 104, BB 109 — applied at half strength. Age: age 22 vs a level average of 22.8 → +1.2% on BB/HBP/hit rates (0.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.963.

Result: wOBA .313 → .238; ISO .178 → .132; BABIP .327 → .291. 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 AWest Michigan Whitecaps · 258 PAwOBA .339 → .279 (−60)K% 22.9% → 31.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.87%	÷0.978	×1.360	—	—	31.81%
BB% (unintentional) /PA	3.88%	÷1.034	×0.690	—	×1.015	2.63%
HBP% /PA	0.39%	—	×0.780	—	×1.015	0.31%
Singles /BIP	23.91%	÷1.020	×0.920	×1.002	×1.015	21.93%
Doubles /BIP	7.61%	÷0.990	×0.830	×1.002	×1.015	6.49%
Triples /BIP	1.63%	÷0.900	×0.910	×1.002	×1.015	1.68%
Home runs /BIP	4.89%	÷0.865	×0.800	—	×1.015	4.59%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 73, 1B 104, 2B 98, 3B 80, K 96, BB 107 — applied at half strength. Age: age 21 vs a level average of 22.0 → +1.5% on BB/HBP/hit rates (1.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.002.

Result: wOBA .339 → .279; ISO .193 → .164; BABIP .345 → .312. 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 — .