Domingo Santana

PosRF

B/TR/R

Born1992-08-05

Age (2027)34

No MLB projection yet. Career stats below are historical.

Overview

MLBLAST SEASON 2020

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2018	25	AAAColorado Spri…	227	.283/.404/.487	8	2	75	—	.198/.298/.320
2018	25	MLBMIL	235	.265/.332/.412	5	1	109	0.3
2019	26	MLBSEA	507	.253/.329/.441	21	8	118	0.2
2020	27	MLBCleveland Ind…	84	.157/.298/.286	2	0	73	-0.3
2021	28	No MLB games played
2022	29	No MLB games played
2023	30	No MLB games played
2024	31	No MLB games played
2025	32	No MLB games played
2026	33	No MLB games played

Last 3 seasons WAR 0.1

Contract

No contract data on file.

Skills · percentileStatcast 2018-2020

Barrel%69

xwOBA65

Avg EV44

Speed37

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	16	ROK	GCL Phillies	—	139	118	34	6	1	6	15	44	5	3	1	288	391	508	900	220	406	32	11	395	61	—	—	—	—	—	—
2010	17	A	Lakewood BlueClaws	—	202	165	30	10	0	3	29	76	6	5	6	182	325	297	622	115	307	38	14	293	39	—	—	—	—	—	—
2011	18	A	Lexington Legends	—	467	418	120	33	4	12	32	135	17	5	1	287	362	471	833	184	399	29	7	370	88	—	—	—	—	—	—
2012	19	A+	Lancaster JetHawks	—	525	457	138	26	6	23	55	148	9	7	1	302	388	536	924	234	397	28	10	402	96	—	—	—	—	—	—
2012	19	INTL	Tigres del Licey	—	15	10	1	0	0	0	5	2	0	0	0	100	400	100	500		125	13	33	293	84	—	—	—	—	—	—
2013	20	AA	Corpus Christi Hooks	—	476	416	105	23	2	25	46	139	13	12	5	252	345	498	843	245	316	29	10	370	79	—	—	—	—	—	—
2013	20	INTL	Tigres del Licey	—	50	45	11	3	0	2	4	19	1	0	0	244	320	444	764	200	375	38	8	339	116	—	—	—	—	—	—
2014	21	MLB	Houston Astros	—	18	17	0	0	0	0	1	14	0	0	0		56		56			78	6	39	-88	-4	+0	-2	-7	+0	-1.3
2014	21	AAA	Oklahoma City RedHawks	—	513	443	131	27	2	16	64	149	2	6	4	296	387	474	861	178	408	29	12	380	95	—	—	—	—	—	—
2014	21	INTL	Tigres del Licey	—	130	109	31	7	4	0	17	44	4	1	1	284	400	422	822	138	477	34	13	372	138	—	—	—	—	—	—
2015	22	MLB	Milwaukee Brewers	—	187	160	38	7	0	8	20	63	5	4	1	237	341	431	772	194	330	34	11	343	118	+4	+0	-6	-7	+4	-0.5
2015	22	AAA	Colorado Springs Sky Sox	—	411	354	118	23	4	18	54	108	3	2	5	333	426	573	999	240	439	26	13	436	117	—	—	—	—	—	—
2015	22	INTL	Tigres del Licey	—	90	83	15	1	1	0	6	28	1	3	1	181	244	217	461	36	273	31	7	218	33	—	—	—	—	—	—
2016	23	MLB	Milwaukee Brewers	—	281	246	63	14	0	11	32	91	2	2	3	256	346	447	794	191	359	32	11	352	125	+9	-1	-7	-3	+6	0.3
2016	23	A	Wisconsin Timber Rattlers	—	28	23	4	0	0	1	4	5	1	0	0	174	321	304	626	130	176	18	14	297	34	—	—	—	—	—	—
2017	24	MLB	Milwaukee Brewers	—	607	525	146	29	0	30	73	178	6	15	4	278	373	505	877	227	362	29	12	385	145	+33	+1	-8	-7	+13	3.3
2018	25	MLB	Milwaukee Brewers	—	235	211	56	14	1	5	20	77	1	1	1	265	332	412	744	147	386	33	9	329	109	+3	-0	+0	-5	+5	0.3
2018	25	AAA	Colorado Springs Sky Sox	—	227	187	53	10	2	8	36	75	2	2	0	283	404	487	891	203	425	33	16	393	75	—	—	—	—	—	—
2019	26	MLB	Seattle Mariners	—	507	451	114	20	1	21	50	164	2	8	3	253	329	441	770	188	347	32	10	340	118	+11	+0	-15	-5	+11	0.2
2020	27	MLB	Cleveland Indians	—	84	70	11	3	0	2	13	25	1	0	0	157	298	286	583	129	209	30	15	277	73	-3	+0	-1	-1	+2	-0.3
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	1919	1680	428	87	2	77	209	612	17	30	12	255	343	446	789	192	350	32	11	349	123	+52	+1	-40	-36	+42	2.0
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2009	16	ROK MLE	GCL Phillies	—	139	123	23	4	1	4	10	63	5	3	1	187	275	333	609	146	316	45	7	259	61	—	—	—	—	—	—
2010	17	A MLE	Lakewood BlueClaws	—	202	174	26	8	0	3	20	102	6	5	6	149	260	247	507	98	301	50	10	226	39	—	—	—	—	—	—
2011	18	A MLE	Lexington Legends	—	467	430	104	28	4	9	20	181	17	5	1	242	302	388	690	147	392	39	4	298	88	—	—	—	—	—	—
2012	19	A+ MLE	Lancaster JetHawks	—	525	475	113	18	4	19	37	203	9	7	1	238	305	413	718	175	359	39	7	310	96	—	—	—	—	—	—
2013	20	AA MLE	Corpus Christi Hooks	—	476	432	87	18	2	18	30	169	13	12	5	201	274	377	651	176	281	36	6	285	79	—	—	—	—	—	—
2014	21	MLB MLE	Houston Astros	—	18	17	0	0	0	0	1	14	0	0	0		56		56			78	6	39	-88	-4	+0	-2	-7	+0	-1.3
2014	21	AAA MLE	Oklahoma City RedHawks	—	513	459	114	24	1	12	48	193	2	6	4	248	322	383	706	135	389	38	9	309	95	—	—	—	—	—	—
2015	22	MLB MLE	Milwaukee Brewers	—	187	160	38	7	0	8	20	63	5	4	1	237	341	431	772	194	330	34	11	342	118	+4	+0	-6	-7	+4	-0.5
2015	22	AAA MLE	Colorado Springs Sky Sox	—	411	369	98	16	3	15	39	142	3	2	5	266	341	447	788	182	389	35	9	341	117	—	—	—	—	—	—
2016	23	MLB MLE	Milwaukee Brewers	—	281	246	63	15	0	10	32	91	2	2	3	256	346	439	785	183	359	32	11	354	125	+9	-1	-7	-3	+6	0.3
2016	23	A MLE	Wisconsin Timber Rattlers	—	28	24	4	0	0	1	3	7	1	0	0	167	286	292	577	125	153	25	11	218	34	—	—	—	—	—	—
2017	24	MLB MLE	Milwaukee Brewers	—	607	527	147	31	0	29	71	178	6	15	4	279	371	503	874	224	362	29	12	383	145	+33	+1	-8	-7	+13	3.3
2018	25	MLB MLE	Milwaukee Brewers	—	235	212	57	15	1	5	19	77	1	1	1	269	332	420	752	151	386	33	8	330	109	+3	-0	+0	-5	+5	0.3
2018	25	AAA MLE	Colorado Springs Sky Sox	—	227	197	39	7	1	5	26	105	2	2	0	198	298	320	618	122	374	46	11	279	75	—	—	—	—	—	—
2019	26	MLB MLE	Seattle Mariners	—	507	454	115	20	1	22	49	164	2	8	3	253	329	447	776	194	347	32	10	343	118	+11	+0	-15	-5	+11	0.2
2020	27	MLB MLE	Cleveland Indians	—	84	70	11	3	0	2	13	25	1	0	0	157	298	286	583	129	209	30	15	276	73	-3	+0	-1	-1	+2	-0.3
2009	16	ROK MLE	GCL Phillies	—	139	123	23	4	1	4	10	63	5	3	1	187	275	333	609	146	333	45	7	259	61	—	—	—	—	—	—
2009	16	ROK RAW	GCL Phillies	—	139	118	34	6	1	6	15	44	5	3	1	288	391	508	900	220	406	32	11	395	61	—	—	—	—	—	—
2010	17	A MLE	Lakewood BlueClaws	—	202	174	26	8	0	3	20	102	6	5	6	149	260	247	507	98	324	50	10	226	39	—	—	—	—	—	—
2010	17	A RAW	Lakewood BlueClaws	—	202	165	30	10	0	3	29	76	6	5	6	182	325	297	622	115	307	38	14	293	39	—	—	—	—	—	—
2011	18	A MLE	Lexington Legends	—	467	430	104	28	4	9	20	181	17	5	1	242	302	388	690	147	396	39	4	298	88	—	—	—	—	—	—
2011	18	A RAW	Lexington Legends	—	467	418	120	33	4	12	32	135	17	5	1	287	362	471	833	184	399	29	7	370	88	—	—	—	—	—	—
2012	19	A+ MLE	2 teams	—	540	489	117	19	4	20	38	209	9	7	1	239	306	417	723	178	367	39	7	310	96	—	—	—	—	—	—
2012	19	A+ RAW	2 teams	—	540	467	139	26	6	23	60	150	9	7	1	298	388	527	915	229	389	28	11	399	96	—	—	—	—	—	—
2013	20	AA MLE	2 teams	—	526	478	97	20	2	20	33	187	14	12	5	203	274	379	653	176	283	36	6	285	79	—	—	—	—	—	—
2013	20	AA RAW	2 teams	—	526	461	116	26	2	27	50	158	14	12	5	252	343	492	835	241	321	30	10	367	79	—	—	—	—	—	—
2014	21	AAA MLE	3 teams	—	661	590	141	29	2	14	61	258	6	7	5	239	317	366	683	127	394	39	9	300	89	—	—	—	—	—	—
2014	21	AAA RAW	3 teams	—	661	569	162	34	6	16	82	207	6	7	5	285	381	450	830	165	417	31	12	369	89	—	—	—	—	—	—
2015	22	AAA MLE	3 teams	—	688	609	156	27	3	26	68	236	9	9	7	256	340	438	778	182	372	34	10	341	117	—	—	—	—	—	—
2015	22	AAA RAW	3 teams	—	688	597	171	31	5	26	80	199	9	9	7	286	379	486	865	199	388	29	12	382	117	—	—	—	—	—	—
2016	23	MLB MLE	2 teams	—	309	270	67	15	0	11	35	98	3	2	3	248	341	426	767	178	346	32	11	341	117	+6	-1	-7	-3	+7	0.2
2016	23	MLB RAW	2 teams	—	309	269	67	14	0	12	36	96	3	2	3	249	344	435	779	186	340	31	12	347	117	+6	-1	-7	-3	+7	0.2
2017	24	MLB MLE	Milwaukee Brewers	—	607	527	147	31	0	29	71	178	6	15	4	279	371	503	874	224	365	29	12	383	145	+33	+1	-8	-7	+13	3.3
2017	24	MLB RAW	Milwaukee Brewers	—	607	525	146	29	0	30	73	178	6	15	4	278	373	505	877	227	362	29	12	385	145	+33	+1	-8	-7	+13	3.3
2018	25	MLB MLE	2 teams	—	462	409	96	22	2	10	45	182	3	3	1	235	315	372	687	137	387	39	10	305	92	-4	+0	+0	-5	+10	0.1
2018	25	MLB RAW	2 teams	—	462	398	109	24	3	13	56	152	3	3	1	274	368	447	815	173	403	33	12	360	92	-4	+0	+0	-5	+10	0.1
2019	26	MLB MLE	Seattle Mariners	—	507	454	115	20	1	22	49	164	2	8	3	253	329	447	776	194	344	32	10	343	118	+11	+0	-15	-5	+11	0.2
2019	26	MLB RAW	Seattle Mariners	—	507	451	114	20	1	21	50	164	2	8	3	253	329	441	770	188	347	32	10	340	118	+11	+0	-15	-5	+11	0.2
2020	27	MLB MLE	Cleveland Indians	—	84	70	11	3	0	2	13	25	1	0	0	157	298	286	583	129	209	30	15	276	73	-3	+0	-1	-1	+2	-0.3
2020	27	MLB RAW	Cleveland Indians	—	84	70	11	3	0	2	13	25	1	0	0	157	298	286	583	129	209	30	15	277	73	-3	+0	-1	-1	+2	-0.3
2009	16	ROK MLE	GCL Phillies	—	139	123	23	4	1	4	10	63	5	3	1	187	275	333	609	146	316	45	7	259	61	—	—	—	—	—	—
2010	17	A MLE	Lakewood BlueClaws	—	202	174	26	8	0	3	20	102	6	5	6	149	260	247	507	98	301	50	10	226	39	—	—	—	—	—	—
2011	18	A MLE	Lexington Legends	—	467	427	104	28	4	9	20	181	17	5	1	244	302	391	693	148	392	39	4	298	88	—	—	—	—	—	—
2012	19	A+ MLE	2 teams	—	540	488	117	19	4	20	38	209	9	7	1	240	306	418	724	178	359	39	7	310	96	—	—	—	—	—	—
2013	20	AA MLE	2 teams	—	526	474	97	20	2	20	33	187	14	12	5	205	274	382	656	177	281	36	6	285	79	—	—	—	—	—	—
2014	21	AAA MLE	3 teams	—	661	589	141	29	2	14	61	258	6	7	5	239	317	367	683	127	376	39	9	300	89	—	—	—	—	—	—
2015	22	AAA MLE	3 teams	—	688	606	156	27	3	26	68	236	9	9	7	257	340	441	780	183	370	34	10	341	117	—	—	—	—	—	—
2016	23	MLB MLE	2 teams	—	309	268	67	15	0	11	35	98	3	2	3	250	341	429	770	179	340	32	11	341	117	—	—	—	—	—	—
2017	24	MLB MLE	Milwaukee Brewers	—	607	525	147	31	0	29	71	178	6	15	4	280	371	505	876	225	362	29	12	383	145	—	—	—	—	—	—
2018	25	MLB MLE	2 teams	—	462	411	96	22	2	10	45	182	3	3	1	234	315	370	685	136	380	39	10	305	92	—	—	—	—	—	—
2019	26	MLB MLE	Seattle Mariners	—	507	451	115	20	1	22	49	164	2	8	3	255	329	450	779	195	347	32	10	343	118	—	—	—	—	—	—
2020	27	MLB MLE	Cleveland Indians	—	84	70	11	3	0	2	13	25	1	0	0	157	298	286	583	129	209	30	15	276	73	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1919	1680	428	87	2	77	209	612	17	30	12	255	343	446	789	192	350	32	11	349	101	+52	+1	-40	-36	+42	2.0
/ 162G	—	A+C		—	650	569	145	29	1	26	71	207	6	10	4	255	344	446	790	192	350	32	11	349	101	+18	+0	-13	-12	+14	0.7
Career	—	MLE		—	5192	4623	1100	226	19	170	463	1883	81	76	37	238	318	405	724	167	358	36	9	317	101	+52	+1	-40	-36	+42	2.0
/ 162G	—	MLE		—	650	579	137	28	2	21	58	236	10	10	5	237	317	401	718	164	357	36	9	317	101	+18	+0	-13	-12	+14	0.7

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.

2018 AAAColorado Springs Sky Sox · 227 PAwOBA .385 → .279 (−106)K% 33.0% → 46.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	33.04%	÷0.925	×1.290	—	—	46.06%
BB% (unintentional) /PA	15.42%	÷0.985	×0.710	—	×1.018	11.31%
HBP% /PA	0.88%	—	×0.980	—	×1.018	0.88%
Singles /BIP	29.46%	÷1.014	×0.900	×1.032	×1.018	27.45%
Doubles /BIP	8.93%	÷1.014	×0.810	×1.032	×1.018	7.49%
Triples /BIP	1.79%	÷1.150	×0.810	×1.032	×1.018	1.32%
Home runs /BIP	7.14%	÷1.124	×0.780	—	×1.018	5.04%

Factors used: league row PCL. Park (home-season share, regressed): HR 125, 1B 103, 2B 103, 3B 130, K 85, BB 97 — 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 ×1.032.

Result: wOBA .385 → .279; ISO .203 → .128; BABIP .425 → .374. 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 AWisconsin Timber Rattlers · 28 PAwOBA .290 → .218 (−73)K% 17.9% → 23.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.86%	÷1.022	×1.360	—	—	23.76%
BB% (unintentional) /PA	14.29%	÷0.985	×0.690	—	×0.980	9.81%
HBP% /PA	3.57%	—	×0.780	—	×0.980	2.73%
Singles /BIP	16.67%	÷1.023	×0.920	—	×0.980	14.69%
Doubles /BIP	0.00%	÷0.953	×0.830	—	×0.980	0.00%
Triples /BIP	0.00%	÷1.150	×0.910	—	×0.980	0.00%
Home runs /BIP	5.56%	÷1.161	×0.800	—	×0.980	3.75%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 132, 1B 105, 2B 91, 3B 130, K 104, BB 97 — applied at half strength. Age: age 24 vs a level average of 22.0 → −2.0% on BB/HBP/hit rates (2.0 yr older than average).

Result: wOBA .290 → .218; ISO .130 → .087; BABIP .176 → .153. 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 AAAColorado Springs Sky Sox · 411 PAwOBA .424 → .341 (−83)K% 26.3% → 34.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	26.28%	÷0.979	×1.290	—	—	34.62%
BB% (unintentional) /PA	12.90%	÷1.015	×0.710	—	×1.050	9.47%
HBP% /PA	0.73%	—	×0.980	—	×1.050	0.75%
Singles /BIP	29.67%	÷1.044	×0.900	×1.047	×1.050	28.13%
Doubles /BIP	9.35%	÷1.214	×0.810	×1.047	×1.050	6.86%
Triples /BIP	1.63%	÷1.150	×0.810	×1.047	×1.050	1.26%
Home runs /BIP	7.32%	÷0.886	×0.780	—	×1.050	6.77%

Factors used: league row PCL. Park (home-season share, regressed): HR 77, 1B 109, 2B 143, 3B 130, K 96, BB 103 — applied at half strength. Age: age 23 vs a level average of 27.2 → +5.0% on BB/HBP/hit rates (4.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.047.

Result: wOBA .424 → .341; ISO .240 → .190; BABIP .439 → .389. 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 AAAOklahoma City RedHawks · 513 PAwOBA .373 → .309 (−64)K% 29.0% → 37.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	29.04%	÷0.994	×1.290	—	—	37.71%
BB% (unintentional) /PA	12.28%	÷0.977	×0.710	—	×1.050	9.37%
HBP% /PA	0.39%	—	×0.980	—	×1.050	0.40%
Singles /BIP	29.25%	÷1.018	×0.900	×1.050	×1.050	28.52%
Doubles /BIP	9.18%	÷0.935	×0.810	×1.050	×1.050	8.78%
Triples /BIP	0.68%	÷1.150	×0.810	×1.050	×1.050	0.53%
Home runs /BIP	5.44%	÷1.042	×0.780	—	×1.050	4.28%

Factors used: league row PCL. Park (home-season share, regressed): HR 108, 1B 104, 2B 87, 3B 130, K 99, BB 95 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .373 → .309; ISO .178 → .138; BABIP .408 → .389. 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 AACorpus Christi Hooks · 476 PAwOBA .360 → .285 (−75)K% 29.2% → 35.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	29.20%	÷1.004	×1.220	—	—	35.48%
BB% (unintentional) /PA	9.45%	÷1.117	×0.700	—	×1.050	6.22%
HBP% /PA	2.73%	—	×0.870	—	×1.050	2.49%
Singles /BIP	19.86%	÷1.040	×0.920	×1.008	×1.050	18.59%
Doubles /BIP	8.30%	÷1.067	×0.840	×1.008	×1.050	6.92%
Triples /BIP	0.72%	÷0.900	×0.940	×1.008	×1.050	0.80%
Home runs /BIP	9.03%	÷1.106	×0.800	—	×1.050	6.86%

Factors used: league row TL. Park (home-season share, regressed): HR 121, 1B 108, 2B 113, 3B 80, K 101, BB 123 — applied at half strength. Age: age 21 vs a level average of 24.8 → +5.0% on BB/HBP/hit rates (3.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.008.

Result: wOBA .360 → .285; ISO .245 → .186; BABIP .316 → .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).

2012 A+Lancaster JetHawks · 525 PAwOBA .394 → .310 (−84)K% 28.2% → 38.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	28.19%	÷0.975	×1.340	—	—	38.73%
BB% (unintentional) /PA	10.48%	÷1.095	×0.710	—	×1.042	7.08%
HBP% /PA	1.71%	—	×0.790	—	×1.042	1.41%
Singles /BIP	26.86%	÷1.022	×0.910	×1.043	×1.042	25.99%
Doubles /BIP	8.41%	÷1.138	×0.820	×1.043	×1.042	6.59%
Triples /BIP	1.94%	÷1.150	×0.760	×1.043	×1.042	1.39%
Home runs /BIP	7.44%	÷1.030	×0.920	—	×1.042	6.93%

Factors used: league row CAL. Park (home-season share, regressed): HR 106, 1B 104, 2B 128, 3B 130, K 95, BB 119 — applied at half strength. Age: age 20 vs a level average of 22.8 → +4.2% on BB/HBP/hit rates (2.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.043.

Result: wOBA .394 → .310; ISO .234 → .183; BABIP .397 → .359. 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).

2011 ALexington Legends · 467 PAwOBA .358 → .298 (−60)K% 28.9% → 38.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	28.91%	÷0.998	×1.340	—	—	38.82%
BB% (unintentional) /PA	6.21%	÷0.996	×0.660	—	×1.045	4.30%
HBP% /PA	3.64%	—	×0.770	—	×1.045	2.93%
Singles /BIP	25.09%	÷1.006	×0.920	×1.050	×1.045	25.17%
Doubles /BIP	11.66%	÷0.939	×0.820	×1.050	×1.045	11.18%
Triples /BIP	1.41%	÷1.034	×0.940	×1.050	×1.045	1.41%
Home runs /BIP	4.24%	÷1.002	×0.820	—	×1.045	3.63%

Factors used: league row SAL. Park (home-season share, regressed): HR 100, 1B 101, 2B 88, 3B 107, K 100, BB 99 — applied at half strength. Age: age 19 vs a level average of 22.0 → +4.5% on BB/HBP/hit rates (3.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .358 → .298; ISO .184 → .150; BABIP .399 → .392. 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).

2010 ALakewood BlueClaws · 202 PAwOBA .289 → .226 (−63)K% 37.6% → 50.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	37.62%	÷1.003	×1.340	—	—	50.26%
BB% (unintentional) /PA	14.36%	÷1.001	×0.660	—	×1.050	9.94%
HBP% /PA	2.97%	—	×0.770	—	×1.050	2.40%
Singles /BIP	19.10%	÷0.981	×0.920	×1.025	×1.050	19.28%
Doubles /BIP	11.24%	÷0.936	×0.820	×1.025	×1.050	10.60%
Triples /BIP	0.00%	÷1.150	×0.940	×1.025	×1.050	0.00%
Home runs /BIP	3.37%	÷0.862	×0.820	—	×1.050	3.37%

Factors used: league row SAL. Park (home-season share, regressed): HR 72, 1B 96, 2B 87, 3B 130, K 101, BB 100 — applied at half strength. Age: age 18 vs a level average of 22.0 → +5.0% on BB/HBP/hit rates (4.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.025.

Result: wOBA .289 → .226; ISO .115 → .095; BABIP .307 → .301. 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 — .