Domingo Leyba

PosSS

B/TS/R

Born1995-09-11

Age (2027)31

No MLB projection yet. Career stats below are historical.

Overview

INTLROOKIE

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2023	27	AAA/AA/INTL2 orgs	375	.267/.348/.391	8	1	69	—	.241/.298/.338
2024	28	INTLTigres del Li…	77	.268/.438/.393	2	0	134	—
2025	29	INTLTigres del Li…	92	.182/.308/.286	1	2	74	—

Contract

No contract data on file.

Skills · percentileMiLB Statcast 2023 AAA

Max EV95

Z-Con%91

Whiff%77

K%69

BB%51

Speed29

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 Tigers	—	247	201	70	15	8	5	34	26	4	16	8	348	452	577	1.029	229	376	11	14	434	83	—	—	—	—	—	—
2014	18	A	West Michigan Whitecaps	—	124	116	46	7	0	1	6	13	1	1	2	397	431	483	914	86	441	10	5	406	124	—	—	—	—	—	—
2014	18	INTL	Glendale Desert Dogs	—	47	41	7	0	0	0	4	9	2	0	1	171	277	171	447		219	19	9	225	39	—	—	—	—	—	—
2015	19	A+	Visalia Rawhide	—	562	514	122	21	5	2	26	90	6	10	6	237	282	309	591	72	278	16	5	261	35	—	—	—	—	—	—
2016	20	AA	Mobile BayBears	—	174	156	47	7	1	4	17	22	1	4	2	301	374	436	809	135	331	13	10	363	84	—	—	—	—	—	—
2016	20	A+	Visalia Rawhide	—	374	340	100	25	1	6	29	62	0	5	1	294	350	426	776	132	341	17	8	342	78	—	—	—	—	—	—
2017	21	AA	Jackson Generals	—	64	58	16	4	0	2	5	6	1	0	0	276	344	448	792	172	280	9	8	353	100	—	—	—	—	—	—
2018	22	AA	Jackson Generals	—	358	320	86	17	2	5	35	46	2	5	2	269	345	381	726	112	300	13	10	328	72	—	—	—	—	—	—
2018	22	INTL	Estrellas Orientales	—	73	65	14	2	1	1	1	14	2	0	1	215	250	323	573	108	245	19	1	239	48	—	—	—	—	—	—
2019	23	MLB	Arizona Diamondbacks	—	30	25	7	2	1	0	4	9	0	0	0	280	379	440	819	160	412	30	13	353	111	+0	+0	+1	+2	+1	0.4
2019	23	AAA	Reno Aces	—	498	457	137	37	3	19	32	78	6	0	2	300	354	519	872	219	325	16	6	380	83	—	—	—	—	—	—
2019	23	INTL	Estrellas Orientales	—	116	100	22	3	2	1	13	12	0	0	2	220	310	320	630	100	236	10	11	282	77	—	—	—	—	—	—
2020	24	INTL	Estrellas Orientales	—	108	98	25	4	0	4	9	18	0	1	0	255	318	418	736	163	273	17	8	325	106	—	—	—	—	—	—
2021	25	MLB	Baltimore Orioles	—	96	87	10	1	0	1	8	23	1	0	0	115	198	161	359	46	143	24	8	176	4	-11	+0	-1	+2	+2	-0.8
2021	25	AAA	Round Rock Express	—	218	208	65	10	3	13	8	31	0	1	2	312	338	577	915	264	313	14	4	393	103	—	—	—	—	—	—
2021	25	INTL	Estrellas Orientales	—	125	114	24	6	0	2	9	15	0	0	4	211	268	316	584	105	222	12	7	261	63	—	—	—	—	—	—
2022	26	AAA	El Paso Chihuahuas	—	39	32	4	2	0	1	6	6	0	0	0	125	263	281	544	156	115	15	15	250	10	—	—	—	—	—	—
2022	26	AA	San Antonio Missions	—	444	372	99	21	1	10	59	61	4	12	1	266	372	409	781	142	287	14	13	347	83	—	—	—	—	—	—
2022	26	INTL	Estrellas Orientales	—	67	57	12	2	0	0	8	12	1	0	0	211	318	246	564	35	267	18	12	268	67	—	—	—	—	—	—
2023	27	AAA	Indianapolis Indians	—	167	144	37	5	1	5	19	32	1	0	1	257	348	410	757	153	294	19	11	335	62	—	—	—	—	—	—
2023	27	AA	Altoona Curve	—	114	102	35	6	0	3	12	12	0	1	0	343	412	490	902	147	368	11	11	402	99	—	—	—	—	—	—
2023	27	INTL	Tigres del Licey	—	94	84	16	4	0	0	9	19	0	0	0	190	269	238	507	48	246	20	10	237	47	—	—	—	—	—	—
2024	28	INTL	Tigres del Licey	—	77	56	15	1	0	2	17	15	0	0	0	268	438	393	831	125	325	19	22	366	134	—	—	—	—	—	—
2025	29	INTL	Tigres del Licey	—	92	77	14	5	0	1	13	20	1	2	2	182	308	286	593	104	232	22	14	278	74	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	126	112	17	3	1	1	12	32	1	0	0	152	240	223	463	71	200	25	10	218	34	-10	+0	-0	+4	+3	-0.4
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2013	17	ROK MLE	DSL Tigers	—	247	211	49	10	5	3	24	32	4	16	8	232	322	370	692	137	241	13	10	291	83	—	—	—	—	—	—
2014	18	A MLE	West Michigan Whitecaps	—	124	118	42	6	0	1	4	19	1	1	2	356	382	432	814	76	413	15	3	352	124	—	—	—	—	—	—
2015	19	A+ MLE	Visalia Rawhide	—	562	522	107	18	4	2	18	120	6	10	6	205	240	266	506	61	246	21	3	220	35	—	—	—	—	—	—
2016	20	AA MLE	Mobile BayBears	—	174	161	41	6	1	3	12	27	1	4	2	255	310	360	671	106	288	16	7	292	84	—	—	—	—	—	—
2016	20	A+ MLE	Visalia Rawhide	—	374	349	89	20	1	5	20	82	0	5	1	255	295	361	656	106	307	22	5	284	78	—	—	—	—	—	—
2017	21	AA MLE	Jackson Generals	—	64	59	16	4	0	2	4	7	1	0	0	271	328	441	769	169	277	11	6	316	100	—	—	—	—	—	—
2018	22	AA MLE	Jackson Generals	—	358	331	78	15	2	4	24	58	2	5	2	236	291	329	621	94	272	16	7	275	72	—	—	—	—	—	—
2019	23	MLB MLE	Arizona Diamondbacks	—	30	25	7	2	1	0	4	9	0	0	0	280	379	440	819	160	412	30	13	333	111	+0	+0	+1	+2	+1	0.4
2019	23	AAA MLE	Reno Aces	—	498	466	109	28	2	14	23	104	6	0	2	234	279	393	671	159	268	21	5	291	83	—	—	—	—	—	—
2021	25	MLB MLE	Baltimore Orioles	—	96	87	10	1	0	1	8	23	1	0	0	115	198	161	359	46	143	24	8	174	4	-11	+0	-1	+2	+2	-0.8
2021	25	AAA MLE	Round Rock Express	—	218	210	56	9	2	10	6	35	0	1	2	267	287	471	758	205	273	16	3	320	103	—	—	—	—	—	—
2022	26	AAA MLE	El Paso Chihuahuas	—	39	34	4	2	0	1	4	8	0	0	0	118	211	265	475	147	90	21	10	183	10	—	—	—	—	—	—
2022	26	AA MLE	San Antonio Missions	—	444	391	89	17	1	9	40	74	4	12	1	228	306	345	651	118	244	17	9	291	83	—	—	—	—	—	—
2023	27	AAA MLE	Indianapolis Indians	—	167	151	32	4	1	3	12	40	1	0	1	212	274	311	586	99	254	24	7	260	62	—	—	—	—	—	—
2023	27	AA MLE	Altoona Curve	—	114	106	30	4	0	2	8	15	0	1	0	283	333	377	711	94	315	13	7	315	99	—	—	—	—	—	—
2013	17	ROK MLE	DSL Tigers	—	247	211	49	10	5	3	24	32	4	16	8	232	322	370	692	137	257	13	10	291	83	—	—	—	—	—	—
2013	17	ROK RAW	DSL Tigers	—	247	201	70	15	8	5	34	26	4	16	8	348	452	577	1.029	229	376	11	14	434	83	—	—	—	—	—	—
2014	18	A MLE	2 teams	—	171	161	57	8	0	1	6	27	3	1	3	354	388	422	811	68	421	16	4	352	124	—	—	—	—	—	—
2014	18	A RAW	2 teams	—	171	157	53	7	0	1	10	22	3	1	3	338	388	401	790	64	388	13	6	357	124	—	—	—	—	—	—
2015	19	A+ MLE	Visalia Rawhide	—	562	522	107	18	4	2	18	120	6	10	6	205	240	266	506	61	257	21	3	220	35	—	—	—	—	—	—
2015	19	A+ RAW	Visalia Rawhide	—	562	514	122	21	5	2	26	90	6	10	6	237	282	309	591	72	278	16	5	261	35	—	—	—	—	—	—
2016	20	A+ MLE	2 teams	—	548	510	130	26	2	8	32	109	1	9	3	255	300	361	661	106	307	20	6	287	80	—	—	—	—	—	—
2016	20	A+ RAW	2 teams	—	548	496	147	32	2	10	46	84	1	9	3	296	357	429	787	133	337	15	8	349	80	—	—	—	—	—	—
2017	21	AA MLE	Jackson Generals	—	64	59	16	4	0	2	4	7	1	0	0	271	328	441	769	169	280	11	6	316	100	—	—	—	—	—	—
2017	21	AA RAW	Jackson Generals	—	64	58	16	4	0	2	5	6	1	0	0	276	344	448	792	172	280	9	8	353	100	—	—	—	—	—	—
2018	22	AA MLE	2 teams	—	431	392	94	18	2	5	29	69	4	5	3	240	299	334	633	94	276	16	7	275	72	—	—	—	—	—	—
2018	22	AA RAW	2 teams	—	431	385	100	19	3	6	36	60	4	5	3	260	329	371	701	112	291	14	8	313	72	—	—	—	—	—	—
2019	23	AAA MLE	3 teams	—	644	598	140	36	3	17	33	137	6	0	4	234	281	390	671	156	273	21	5	293	85	—	—	—	—	—	—
2019	23	AAA RAW	3 teams	—	644	582	166	42	6	20	49	99	6	0	4	285	347	481	828	196	311	15	8	361	85	—	—	—	—	—	—
2020	24	INTL MLE	Estrellas Orientales	—	108	98	25	4	0	4	9	18	0	1	0	255	318	418	736	163	273	17	8	—	—	—	—	—	—	—	—
2020	24	INTL RAW	Estrellas Orientales	—	108	98	25	4	0	4	9	18	0	1	0	255	318	418	736	163	273	17	8	325	106	—	—	—	—	—	—
2021	25	AAA MLE	3 teams	—	439	415	92	14	3	15	19	81	1	1	6	222	257	378	636	157	238	18	4	275	72	—	—	—	—	—	—
2021	25	AAA RAW	3 teams	—	439	409	99	17	3	16	25	69	1	1	6	242	287	416	703	174	253	16	6	308	72	—	—	—	—	—	—
2022	26	AA MLE	3 teams	—	550	484	106	21	1	12	50	92	5	12	1	219	299	341	640	122	241	17	9	282	77	—	—	—	—	—	—
2022	26	AA RAW	3 teams	—	550	461	115	25	1	11	73	79	5	12	1	249	358	380	738	130	273	14	13	331	77	—	—	—	—	—	—
2023	27	AAA MLE	3 teams	—	375	343	83	11	1	7	27	73	1	1	1	242	299	341	640	99	287	19	7	282	77	—	—	—	—	—	—
2023	27	AAA RAW	3 teams	—	375	330	88	15	1	8	40	63	1	1	1	267	348	391	739	124	307	17	11	331	77	—	—	—	—	—	—
2024	28	INTL MLE	Tigres del Licey	—	77	56	15	1	0	2	17	15	0	0	0	268	438	393	831	125	325	19	22	—	—	—	—	—	—	—	—
2024	28	INTL RAW	Tigres del Licey	—	77	56	15	1	0	2	17	15	0	0	0	268	438	393	831	125	325	19	22	366	134	—	—	—	—	—	—
2025	29	INTL MLE	Tigres del Licey	—	92	77	14	5	0	1	13	20	1	2	2	182	308	286	593	104	232	22	14	—	—	—	—	—	—	—	—
2025	29	INTL RAW	Tigres del Licey	—	92	77	14	5	0	1	13	20	1	2	2	182	308	286	593	104	232	22	14	278	74	—	—	—	—	—	—
2013	17	ROK MLE	DSL Tigers	—	247	217	49	10	5	3	24	32	4	16	8	226	322	359	682	134	241	13	10	291	83	—	—	—	—	—	—
2014	18	A MLE	2 teams	—	171	160	57	8	0	1	6	27	3	1	3	356	388	425	813	69	413	16	4	352	124	—	—	—	—	—	—
2015	19	A+ MLE	Visalia Rawhide	—	562	533	107	18	4	2	18	120	6	10	6	201	240	261	501	60	246	21	3	220	35	—	—	—	—	—	—
2016	20	A+ MLE	2 teams	—	548	510	130	26	2	8	32	109	1	9	3	255	300	361	661	106	301	20	6	287	80	—	—	—	—	—	—
2017	21	AA MLE	Jackson Generals	—	64	59	16	4	0	2	4	7	1	0	0	271	328	441	769	169	277	11	6	316	100	—	—	—	—	—	—
2018	22	AA MLE	2 teams	—	431	395	94	18	2	5	29	69	4	5	3	238	299	332	630	94	272	16	7	275	72	—	—	—	—	—	—
2019	23	AAA MLE	3 teams	—	644	600	140	36	3	17	33	137	6	0	4	233	281	388	669	155	276	21	5	293	85	—	—	—	—	—	—
2021	25	AAA MLE	3 teams	—	439	416	92	14	3	15	19	81	1	1	6	221	257	377	635	156	233	18	4	275	72	—	—	—	—	—	—
2022	26	AA MLE	3 teams	—	550	490	106	21	1	12	50	92	5	12	1	216	299	337	635	120	232	17	9	282	77	—	—	—	—	—	—
2023	27	AAA MLE	3 teams	—	375	344	83	11	1	7	27	73	1	1	1	241	299	340	639	99	279	19	7	282	77	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	126	112	17	3	1	1	12	32	1	0	0	152	240	223	463	71	200	25	10	218	62	-10	+0	-0	+4	+3	-0.4
/ 162G	—	A+C		—	650	578	87	15	5	5	62	165	5	0	0	151	239	220	458	69	199	25	10	218	62	-51	+0	-2	+20	+14	-1.9
Career	—	MLE		—	4308	3926	928	176	21	79	281	800	33	58	37	236	293	352	645	116	275	19	7	261	62	-10	+0	-0	+4	+3	-0.4
/ 162G	—	MLE		—	650	592	140	27	3	12	42	121	5	9	6	236	293	353	646	117	275	19	6	261	62	-51	+0	-2	+20	+14	-1.9

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.

2023 AAAIndianapolis Indians · 167 PAwOBA .330 → .260 (−71)K% 19.2% → 23.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.16%	÷0.967	×1.200	—	—	23.79%
BB% (unintentional) /PA	11.38%	÷1.056	×0.690	—	×0.992	7.38%
HBP% /PA	0.60%	—	×0.940	—	×0.992	0.56%
Singles /BIP	23.21%	÷1.004	×0.930	×0.977	×0.992	20.84%
Doubles /BIP	4.46%	÷1.013	×0.830	×0.977	×0.992	3.54%
Triples /BIP	0.89%	÷1.150	×0.970	×0.977	×0.992	0.73%
Home runs /BIP	4.46%	÷1.095	×0.700	—	×0.992	2.83%

Factors used: league row International League. Park (home-season share, regressed): HR 119, 1B 101, 2B 103, 3B 130, K 93, BB 111 — applied at half strength. Age: age 28 vs a level average of 27.2 → −0.8% on BB/HBP/hit rates (0.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.977.

Result: wOBA .330 → .260; ISO .153 → .107; BABIP .294 → .254. 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).

2023 AAAltoona Curve · 114 PAwOBA .392 → .315 (−76)K% 10.5% → 12.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	10.53%	÷1.003	×1.220	—	—	12.81%
BB% (unintentional) /PA	10.53%	÷1.058	×0.700	—	×0.968	6.74%
HBP% /PA	0.00%	—	×0.850	—	×0.968	0.00%
Singles /BIP	28.89%	÷1.032	×0.970	×0.990	×0.968	26.00%
Doubles /BIP	6.67%	÷1.142	×0.860	×0.990	×0.968	4.81%
Triples /BIP	0.00%	÷0.900	×0.950	×0.990	×0.968	0.00%
Home runs /BIP	3.33%	÷1.106	×0.780	—	×0.968	2.27%

Factors used: league row EL. Park (home-season share, regressed): HR 121, 1B 106, 2B 128, 3B 80, K 101, BB 112 — applied at half strength. Age: age 28 vs a level average of 24.8 → −3.2% on BB/HBP/hit rates (3.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.990.

Result: wOBA .392 → .315; ISO .147 → .105; BABIP .368 → .315. 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).

2022 AASan Antonio Missions · 444 PAwOBA .343 → .291 (−52)K% 13.7% → 16.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.74%	÷1.008	×1.220	—	—	16.63%
BB% (unintentional) /PA	12.61%	÷0.965	×0.700	—	×0.978	8.95%
HBP% /PA	0.90%	—	×0.870	—	×0.978	0.77%
Singles /BIP	21.54%	÷0.979	×0.920	×0.957	×0.978	18.94%
Doubles /BIP	6.75%	÷1.035	×0.840	×0.957	×0.978	5.13%
Triples /BIP	0.32%	÷1.035	×0.940	×0.957	×0.978	0.27%
Home runs /BIP	3.22%	÷0.870	×0.800	—	×0.978	2.89%

Factors used: league row TL. Park (home-season share, regressed): HR 74, 1B 96, 2B 107, 3B 107, K 102, BB 93 — applied at half strength. Age: age 27 vs a level average of 24.8 → −2.2% on BB/HBP/hit rates (2.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.957.

Result: wOBA .343 → .291; ISO .142 → .126; BABIP .287 → .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).

2022 AAAEl Paso Chihuahuas · 39 PAwOBA .250 → .183 (−68)K% 15.4% → 19.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.38%	÷0.959	×1.200	—	—	19.26%
BB% (unintentional) /PA	15.38%	÷0.990	×0.690	—	×1.003	10.75%
HBP% /PA	0.00%	—	×0.940	—	×1.003	0.00%
Singles /BIP	3.85%	÷1.047	×0.930	—	×1.003	3.43%
Doubles /BIP	7.69%	÷1.133	×0.830	—	×1.003	5.65%
Triples /BIP	0.00%	÷1.002	×0.970	—	×1.003	0.00%
Home runs /BIP	3.85%	÷1.138	×0.700	—	×1.003	2.37%

Factors used: league row International League. Park (home-season share, regressed): HR 128, 1B 109, 2B 127, 3B 100, K 92, BB 98 — 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).

Result: wOBA .250 → .183; ISO .156 → .109; BABIP .115 → .090. 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 AAARound Rock Express · 218 PAwOBA .384 → .320 (−65)K% 14.2% → 15.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.22%	÷1.072	×1.200	—	—	15.92%
BB% (unintentional) /PA	3.67%	÷0.975	×0.690	—	×1.018	2.64%
HBP% /PA	0.00%	—	×0.940	—	×1.018	0.00%
Singles /BIP	22.03%	÷0.999	×0.930	×0.950	×1.018	19.84%
Doubles /BIP	5.65%	÷0.915	×0.830	×0.950	×1.018	4.96%
Triples /BIP	1.69%	÷1.150	×0.920	×0.950	×1.018	1.31%
Home runs /BIP	7.34%	÷0.958	×0.700	—	×1.018	5.46%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 92, 1B 100, 2B 83, 3B 130, K 114, BB 95 — 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 .384 → .320; ISO .264 → .205; BABIP .313 → .273. 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 AAAReno Aces · 498 PAwOBA .371 → .291 (−80)K% 15.7% → 20.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.66%	÷0.970	×1.290	—	—	20.84%
BB% (unintentional) /PA	6.22%	÷0.986	×0.710	—	×1.048	4.70%
HBP% /PA	1.20%	—	×0.980	—	×1.048	1.24%
Singles /BIP	20.58%	÷1.035	×0.900	×0.950	×1.048	17.81%
Doubles /BIP	9.76%	÷1.025	×0.810	×0.950	×1.048	7.68%
Triples /BIP	0.79%	÷1.150	×0.810	×0.950	×1.048	0.56%
Home runs /BIP	5.01%	÷1.077	×0.780	—	×1.048	3.80%

Factors used: league row PCL. Park (home-season share, regressed): HR 115, 1B 107, 2B 105, 3B 130, K 94, BB 97 — 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 ×0.950.

Result: wOBA .371 → .291; ISO .219 → .161; BABIP .325 → .268. 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 AAJackson Generals · 358 PAwOBA .321 → .275 (−46)K% 12.8% → 16.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.85%	÷0.972	×1.220	—	—	16.12%
BB% (unintentional) /PA	9.78%	÷1.003	×0.680	—	×1.027	6.81%
HBP% /PA	0.56%	—	×0.840	—	×1.027	0.48%
Singles /BIP	22.63%	÷0.982	×0.920	×0.959	×1.027	20.87%
Doubles /BIP	6.20%	÷1.022	×0.910	×0.959	×1.027	5.44%
Triples /BIP	0.73%	÷1.145	×0.880	×0.959	×1.027	0.55%
Home runs /BIP	1.82%	÷0.954	×0.800	—	×1.027	1.57%

Factors used: league row SL. Park (home-season share, regressed): HR 91, 1B 96, 2B 104, 3B 129, K 94, BB 101 — 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 ×0.959.

Result: wOBA .321 → .275; ISO .113 → .097; BABIP .300 → .272. 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 AAJackson Generals · 64 PAwOBA .343 → .316 (−28)K% 9.4% → 11.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	9.38%	÷0.983	×1.220	—	—	11.63%
BB% (unintentional) /PA	7.81%	÷0.987	×0.680	—	×1.042	5.61%
HBP% /PA	1.56%	—	×0.840	—	×1.042	1.37%
Singles /BIP	19.23%	÷0.980	×0.920	×1.026	×1.042	19.31%
Doubles /BIP	7.69%	÷1.004	×0.910	×1.026	×1.042	7.45%
Triples /BIP	0.00%	÷1.150	×0.880	×1.026	×1.042	0.00%
Home runs /BIP	3.85%	÷0.985	×0.800	—	×1.042	3.25%

Factors used: league row SL. Park (home-season share, regressed): HR 97, 1B 96, 2B 101, 3B 130, K 97, 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 ×1.026.

Result: wOBA .343 → .316; ISO .172 → .155; BABIP .280 → .277. 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 — .