Kendrys Morales

PosDH

B/TS/R

Born1983-06-20

Age (2027)44

No MLB projection yet. Career stats below are historical.

Overview

MLBLAST SEASON 2019

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR
2017	34	MLBTOR	608	.250/.309/.445	28	0	109	0.8
2018	35	MLBTOR	471	.249/.335/.438	21	2	112	0.9
2019	36	MLBNYY	201	.194/.315/.253	2	0	70	-0.7
2020	37	No MLB games played
2021	38	No MLB games played
2022	39	No MLB games played
2023	40	No MLB games played
2024	41	No MLB games played
2025	42	No MLB games played
2026	43	No MLB games played

Last 3 seasons WAR 1.0

Contract

No contract data on file.

Skills · percentileStatcast 2017-2019

xwOBA90

Avg EV86

Barrel%64

Speed10

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)
2005	22	AA	Arkansas Travelers	—	301	281	86	12	0	17	17	43	2	2	0	306	350	530	880	224	311	14	6	384	110	—	—	—	—	—	—
2005	22	A+	Rancho Cucamonga Quakes	—	100	90	31	3	0	5	6	11	3	0	0	344	404	544	948	200	347	11	6	415	137	—	—	—	—	—	—
2006	23	MLB	Los Angeles Angels	—	215	197	46	10	1	5	17	28	0	1	1	234	294	371	665	137	248	13	8	297	85	-4	-0	+3	-9	+5	-0.5
2006	23	AAA	Salt Lake Bees	—	273	256	82	13	1	12	14	40	2	0	3	320	360	520	880	199	341	15	5	385	101	—	—	—	—	—	—
2007	24	MLB	Los Angeles Angels	—	126	119	35	10	0	4	6	21	1	0	1	294	333	479	812	185	330	17	5	358	121	+3	-0	-1	-7	+3	-0.2
2007	24	AAA	Salt Lake Bees	—	275	255	87	20	1	5	15	30	4	0	2	341	387	486	873	145	371	11	5	387	111	—	—	—	—	—	—
2008	25	MLB	Los Angeles Angels	—	66	61	13	2	0	3	4	7	1	0	1	213	273	393	666	180	196	11	6	297	87	-1	-0	-3	-5	+1	-0.7
2008	25	AAA	Salt Lake Bees	—	340	317	108	19	0	15	19	43	1	1	3	341	380	543	922	202	355	13	6	402	120	—	—	—	—	—	—
2008	25	ROK	AZL Angels	—	22	21	11	3	0	1	1	1	0	0	0	524	545	810	1.355	286	526	5	5	589	168	—	—	—	—	—	—
2009	26	MLB	Los Angeles Angels	—	622	566	173	43	2	34	46	117	2	3	7	306	360	569	929	263	329	19	7	398	148	+36	-2	-5	-11	+13	3.1
2010	27	MLB	Los Angeles Angels	—	211	193	56	5	0	11	12	31	5	0	1	290	348	487	835	197	296	15	6	368	128	+7	-0	+0	-4	+5	0.8
2012	29	MLB	Los Angeles Angels	—	522	484	132	26	1	22	31	116	4	0	1	273	322	467	789	194	315	22	6	346	120	+12	-0	-1	-9	+11	1.3
2013	30	MLB	Seattle Mariners	—	657	602	167	34	0	23	49	114	5	0	0	277	337	449	785	171	309	17	7	348	120	+16	+0	-4	-12	+14	1.5
2014	31	MLB	Seattle Mariners	—	401	367	80	20	0	8	27	68	3	0	0	218	277	338	615	120	244	17	7	275	71	-14	+0	-3	-7	+9	-1.5
2015	32	MLB	Kansas City Royals	—	639	569	165	41	2	22	58	103	8	0	0	290	364	485	849	195	319	16	9	373	140	+31	+0	-1	-11	+14	3.3
2016	33	MLB	Kansas City Royals	—	618	558	147	24	0	30	48	120	7	0	0	263	330	468	797	204	283	19	8	350	128	+20	+0	-1	-11	+13	2.2
2017	34	MLB	Toronto Blue Jays	—	608	557	139	25	0	28	43	132	5	0	0	250	309	445	754	196	278	22	7	332	109	+7	+0	-1	-11	+13	0.8
2018	35	MLB	Toronto Blue Jays	—	471	413	103	15	0	21	50	95	3	2	3	249	335	438	773	189	272	20	11	341	112	+7	-1	+1	-8	+10	0.9
2019	36	MLB	New York Yankees	—	201	170	33	2	1	2	26	26	4	0	0	194	315	253	568	59	217	13	13	272	70	-7	+0	-0	-4	+4	-0.7
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	5357	4856	1289	257	7	213	417	978	48	6	15	265	330	453	782	187	291	18	8	345	119	+123	-5	-14	-109	+116	11.4
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2005	22	AA MLE	Arkansas Travelers	—	301	286	80	11	0	14	12	52	2	2	0	280	313	465	778	185	295	17	4	331	110	—	—	—	—	—	—
2005	22	A+ MLE	Rancho Cucamonga Quakes	—	100	92	30	3	0	5	4	15	3	0	0	326	374	522	895	196	330	15	4	370	137	—	—	—	—	—	—
2006	23	MLB MLE	Los Angeles Angels	—	215	198	46	10	1	5	16	28	0	1	1	232	290	369	658	136	248	13	7	294	85	-4	-0	+3	-9	+5	-0.5
2006	23	AAA MLE	Salt Lake Bees	—	273	260	71	10	1	10	10	52	2	0	3	273	305	435	740	162	307	19	4	317	101	—	—	—	—	—	—
2007	24	MLB MLE	Los Angeles Angels	—	126	121	35	10	0	4	4	21	1	0	1	289	317	471	789	182	330	17	3	347	121	+3	-0	-1	-7	+3	-0.2
2007	24	AAA MLE	Salt Lake Bees	—	275	260	79	17	1	4	10	39	4	0	2	304	339	423	762	119	341	14	4	332	111	—	—	—	—	—	—
2008	25	MLB MLE	Los Angeles Angels	—	66	61	13	2	0	3	4	7	1	0	1	213	273	393	666	180	196	11	6	297	87	-1	-0	-3	-5	+1	-0.7
2008	25	AAA MLE	Salt Lake Bees	—	340	324	99	16	0	12	12	55	1	1	3	306	332	466	798	160	331	16	4	346	120	—	—	—	—	—	—
2008	25	ROK MLE	AZL Angels	—	22	21	8	2	0	1	1	1	0	0	0	381	409	619	1.028	238	388	5	5	417	168	—	—	—	—	—	—
2009	26	MLB MLE	Los Angeles Angels	—	622	576	173	43	2	34	36	117	2	3	7	300	344	559	903	259	329	19	6	387	148	+36	-2	-5	-11	+13	3.1
2010	27	MLB MLE	Los Angeles Angels	—	211	196	56	5	0	11	9	31	5	0	1	286	333	480	813	194	296	15	4	357	128	+7	-0	+0	-4	+5	0.8
2012	29	MLB MLE	Los Angeles Angels	—	522	485	133	27	1	22	30	116	4	0	1	274	322	470	792	196	315	22	6	345	120	+12	-0	-1	-9	+11	1.3
2013	30	MLB MLE	Seattle Mariners	—	657	608	170	35	0	24	43	114	5	0	0	280	332	456	788	176	309	17	7	346	120	+16	+0	-4	-12	+14	1.5
2014	31	MLB MLE	Seattle Mariners	—	401	370	80	20	0	8	24	68	3	0	0	216	270	335	605	119	244	17	6	273	71	-14	+0	-3	-7	+9	-1.5
2015	32	MLB MLE	Kansas City Royals	—	639	573	168	41	2	24	54	103	8	0	0	293	362	497	860	204	319	16	8	376	140	+31	+0	-1	-11	+14	3.3
2016	33	MLB MLE	Kansas City Royals	—	618	560	150	24	0	32	46	120	7	0	0	268	331	482	813	214	283	19	7	357	128	+20	+0	-1	-11	+13	2.2
2017	34	MLB MLE	Toronto Blue Jays	—	608	559	139	25	0	28	41	132	5	0	0	249	306	444	749	195	278	22	7	329	109	+7	+0	-1	-11	+13	0.8
2018	35	MLB MLE	Toronto Blue Jays	—	471	418	103	15	0	21	45	95	3	2	3	246	324	433	757	187	272	20	10	333	112	+7	-1	+1	-8	+10	0.9
2019	36	MLB MLE	New York Yankees	—	201	170	33	2	1	2	26	26	4	0	0	194	315	253	568	59	217	13	13	271	70	-7	+0	-0	-4	+4	-0.7
2005	22	AA MLE	2 teams	—	401	378	109	13	0	19	16	67	5	2	0	288	326	474	799	185	306	17	4	341	117	—	—	—	—	—	—
2005	22	AA RAW	2 teams	—	401	371	117	15	0	22	23	54	5	2	0	315	363	534	897	218	320	13	6	392	117	—	—	—	—	—	—
2006	23	AAA MLE	2 teams	—	488	458	117	20	2	15	26	80	2	1	4	255	298	406	704	151	279	16	5	307	94	—	—	—	—	—	—
2006	23	AAA RAW	2 teams	—	488	453	128	23	2	17	31	68	2	1	4	283	331	455	786	172	300	14	6	346	94	—	—	—	—	—	—
2007	24	AAA MLE	2 teams	—	401	381	114	27	1	8	14	60	5	0	3	299	333	438	771	139	338	15	3	337	114	—	—	—	—	—	—
2007	24	AAA RAW	2 teams	—	401	374	122	30	1	9	21	51	5	0	3	326	370	484	854	158	359	13	5	378	114	—	—	—	—	—	—
2008	25	AAA MLE	3 teams	—	428	407	120	20	0	16	16	64	2	1	4	295	325	462	787	167	315	15	4	342	118	—	—	—	—	—	—
2008	25	AAA RAW	3 teams	—	428	399	132	24	0	19	24	51	2	1	4	331	372	534	906	203	340	12	6	395	118	—	—	—	—	—	—
2009	26	MLB MLE	Los Angeles Angels	—	622	576	173	43	2	34	36	117	2	3	7	300	344	559	903	259	321	19	6	387	148	+36	-2	-5	-11	+13	3.1
2009	26	MLB RAW	Los Angeles Angels	—	622	566	173	43	2	34	46	117	2	3	7	306	360	569	929	263	329	19	7	398	148	+36	-2	-5	-11	+13	3.1
2010	27	MLB MLE	Los Angeles Angels	—	211	196	56	5	0	11	9	31	5	0	1	286	333	480	813	194	290	15	4	357	128	+7	-0	+0	-4	+5	0.8
2010	27	MLB RAW	Los Angeles Angels	—	211	193	56	5	0	11	12	31	5	0	1	290	348	487	835	197	296	15	6	368	128	+7	-0	+0	-4	+5	0.8
2012	29	MLB MLE	Los Angeles Angels	—	522	485	133	27	1	22	30	116	4	0	1	274	322	470	792	196	317	22	6	345	120	+12	-0	-1	-9	+11	1.3
2012	29	MLB RAW	Los Angeles Angels	—	522	484	132	26	1	22	31	116	4	0	1	273	322	467	789	194	315	22	6	346	120	+12	-0	-1	-9	+11	1.3
2013	30	MLB MLE	Seattle Mariners	—	657	608	170	35	0	24	43	114	5	0	0	280	332	456	788	176	310	17	7	346	120	+16	+0	-4	-12	+14	1.5
2013	30	MLB RAW	Seattle Mariners	—	657	602	167	34	0	23	49	114	5	0	0	277	337	449	785	171	309	17	7	348	120	+16	+0	-4	-12	+14	1.5
2014	31	MLB MLE	Seattle Mariners	—	401	370	80	20	0	8	24	68	3	0	0	216	270	335	605	119	242	17	6	273	71	-14	+0	-3	-7	+9	-1.5
2014	31	MLB RAW	Seattle Mariners	—	401	367	80	20	0	8	27	68	3	0	0	218	277	338	615	120	244	17	7	275	71	-14	+0	-3	-7	+9	-1.5
2015	32	MLB MLE	Kansas City Royals	—	639	573	168	41	2	24	54	103	8	0	0	293	362	497	860	204	320	16	8	376	140	+31	+0	-1	-11	+14	3.3
2015	32	MLB RAW	Kansas City Royals	—	639	569	165	41	2	22	58	103	8	0	0	290	364	485	849	195	319	16	9	373	140	+31	+0	-1	-11	+14	3.3
2016	33	MLB MLE	Kansas City Royals	—	618	560	150	24	0	32	46	120	7	0	0	268	331	482	813	214	286	19	7	357	128	+20	+0	-1	-11	+13	2.2
2016	33	MLB RAW	Kansas City Royals	—	618	558	147	24	0	30	48	120	7	0	0	263	330	468	797	204	283	19	8	350	128	+20	+0	-1	-11	+13	2.2
2017	34	MLB MLE	Toronto Blue Jays	—	608	559	139	25	0	28	41	132	5	0	0	249	306	444	749	195	276	22	7	329	109	+7	+0	-1	-11	+13	0.8
2017	34	MLB RAW	Toronto Blue Jays	—	608	557	139	25	0	28	43	132	5	0	0	250	309	445	754	196	278	22	7	332	109	+7	+0	-1	-11	+13	0.8
2018	35	MLB MLE	Toronto Blue Jays	—	471	418	103	15	0	21	45	95	3	2	3	246	324	433	757	187	267	20	10	333	112	+7	-1	+1	-8	+10	0.9
2018	35	MLB RAW	Toronto Blue Jays	—	471	413	103	15	0	21	50	95	3	2	3	249	335	438	773	189	272	20	11	341	112	+7	-1	+1	-8	+10	0.9
2019	36	MLB MLE	New York Yankees	—	201	170	33	2	1	2	26	26	4	0	0	194	315	253	568	59	217	13	13	271	70	-7	+0	-0	-4	+4	-0.7
2019	36	MLB RAW	New York Yankees	—	201	170	33	2	1	2	26	26	4	0	0	194	315	253	568	59	217	13	13	272	70	-7	+0	-0	-4	+4	-0.7
2005	22	AA MLE	2 teams	—	401	377	109	13	0	19	16	67	5	2	0	289	326	475	801	186	304	17	4	341	117	—	—	—	—	—	—
2006	23	AAA MLE	2 teams	—	488	457	117	20	2	15	26	80	2	1	4	256	298	407	705	151	281	16	5	307	94	—	—	—	—	—	—
2007	24	AAA MLE	2 teams	—	401	379	114	27	1	8	14	60	5	0	3	301	333	441	773	140	337	15	3	337	114	—	—	—	—	—	—
2008	25	AAA MLE	3 teams	—	428	407	120	20	0	16	16	64	2	1	4	295	325	462	787	167	313	15	4	342	118	—	—	—	—	—	—
2009	26	MLB MLE	Los Angeles Angels	—	622	579	173	43	2	34	36	117	2	3	7	299	344	556	900	257	329	19	6	387	148	—	—	—	—	—	—
2010	27	MLB MLE	Los Angeles Angels	—	211	195	56	5	0	11	9	31	5	0	1	287	333	482	815	195	296	15	4	357	128	—	—	—	—	—	—
2012	29	MLB MLE	Los Angeles Angels	—	522	483	133	27	1	22	30	116	4	0	1	275	322	472	794	197	315	22	6	345	120	—	—	—	—	—	—
2013	30	MLB MLE	Seattle Mariners	—	657	604	170	35	0	24	43	114	5	0	0	281	332	459	791	177	309	17	7	346	120	—	—	—	—	—	—
2014	31	MLB MLE	Seattle Mariners	—	401	371	80	20	0	8	24	68	3	0	0	216	270	334	604	119	244	17	6	273	71	—	—	—	—	—	—
2015	32	MLB MLE	Kansas City Royals	—	639	572	168	41	2	24	54	103	8	0	0	294	362	498	860	205	319	16	8	376	140	—	—	—	—	—	—
2016	33	MLB MLE	Kansas City Royals	—	618	560	150	24	0	32	46	120	7	0	0	268	331	482	813	214	283	19	7	357	128	—	—	—	—	—	—
2017	34	MLB MLE	Toronto Blue Jays	—	608	557	139	25	0	28	41	132	5	0	0	250	306	445	751	196	278	22	7	329	109	—	—	—	—	—	—
2018	35	MLB MLE	Toronto Blue Jays	—	471	420	103	15	0	21	45	95	3	2	3	245	324	431	755	186	272	20	10	333	112	—	—	—	—	—	—
2019	36	MLB MLE	New York Yankees	—	201	169	33	2	1	2	26	26	4	0	0	195	315	254	569	59	217	13	13	271	70	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	5357	4856	1289	257	7	213	417	978	48	6	15	265	330	453	782	187	291	18	8	345	117	+123	-5	-14	-109	+116	11.4
/ 162G	—	A+C		—	650	589	157	31	1	26	51	119	6	1	2	267	331	455	786	188	292	18	8	345	117	+15	-1	-2	-13	+14	1.4
Career	—	MLE		—	6668	6139	1665	317	9	264	426	1193	60	9	23	271	325	455	779	184	297	18	6	341	117	+123	-5	-14	-109	+116	11.4
/ 162G	—	MLE		—	650	598	163	31	1	26	42	116	6	1	2	273	327	458	785	186	298	18	6	341	117	+15	-1	-2	-13	+14	1.4

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.

2008 AAASalt Lake Bees · 340 PAwOBA .391 → .346 (−45)K% 12.6% → 16.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.65%	÷1.000	×1.290	—	—	16.31%
BB% (unintentional) /PA	4.71%	÷1.000	×0.710	—	×1.033	3.45%
HBP% /PA	0.29%	—	×0.980	—	×1.033	0.30%
Singles /BIP	27.01%	÷1.000	×0.900	×1.037	×1.033	26.03%
Doubles /BIP	6.93%	÷1.000	×0.810	×1.037	×1.033	6.02%
Triples /BIP	0.00%	÷1.000	×0.810	×1.037	×1.033	0.00%
Home runs /BIP	5.47%	÷1.000	×0.780	—	×1.033	4.41%

Factors used: league row PCL. Park (home-season share, regressed): no park row on file (treated as neutral) — 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 ×1.037.

Result: wOBA .391 → .346; ISO .202 → .165; BABIP .355 → .331. 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).

2008 ROKAZL Angels · 22 PAwOBA .572 → .417 (−155)K% 4.5% → 6.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	4.55%	÷1.000	×1.440	—	—	6.55%
BB% (unintentional) /PA	4.55%	÷1.000	×0.620	—	×0.945	2.66%
HBP% /PA	0.00%	—	×0.720	—	×0.945	0.00%
Singles /BIP	35.00%	÷1.000	×0.820	—	×0.945	27.12%
Doubles /BIP	15.00%	÷1.000	×0.720	—	×0.945	10.21%
Triples /BIP	0.00%	÷1.000	×0.720	—	×0.945	0.00%
Home runs /BIP	5.00%	÷1.000	×0.780	—	×0.945	3.69%

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 25 vs a level average of 19.5 → −5.5% on BB/HBP/hit rates (5.5 yr older than average).

Result: wOBA .572 → .417; ISO .286 → .202; BABIP .526 → .388. 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).

2007 AAASalt Lake Bees · 275 PAwOBA .376 → .332 (−45)K% 10.9% → 14.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	10.91%	÷1.000	×1.290	—	—	14.07%
BB% (unintentional) /PA	5.09%	÷1.000	×0.710	—	×1.048	3.79%
HBP% /PA	1.45%	—	×0.980	—	×1.048	1.49%
Singles /BIP	27.11%	÷1.000	×0.900	×1.004	×1.048	25.67%
Doubles /BIP	8.89%	÷1.000	×0.810	×1.004	×1.048	7.57%
Triples /BIP	0.44%	÷1.000	×0.810	×1.004	×1.048	0.38%
Home runs /BIP	2.22%	÷1.000	×0.780	—	×1.048	1.82%

Factors used: league row PCL. Park (home-season share, regressed): no park row on file (treated as neutral) — 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 ×1.004.

Result: wOBA .376 → .332; ISO .145 → .120; BABIP .371 → .341. 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).

2006 AAASalt Lake Bees · 273 PAwOBA .376 → .317 (−59)K% 14.7% → 18.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.65%	÷1.000	×1.290	—	—	18.90%
BB% (unintentional) /PA	5.13%	÷1.000	×0.710	—	×1.050	3.82%
HBP% /PA	0.73%	—	×0.980	—	×1.050	0.75%
Singles /BIP	25.93%	÷1.000	×0.900	×0.981	×1.050	24.04%
Doubles /BIP	6.02%	÷1.000	×0.810	×0.981	×1.050	5.02%
Triples /BIP	0.46%	÷1.000	×0.810	×0.981	×1.050	0.39%
Home runs /BIP	5.56%	÷1.000	×0.780	—	×1.050	4.55%

Factors used: league row PCL. Park (home-season share, regressed): no park row on file (treated as neutral) — 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 ×0.981.

Result: wOBA .376 → .317; ISO .199 → .159; BABIP .341 → .307. 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).

2005 AAArkansas Travelers · 301 PAwOBA .373 → .331 (−43)K% 14.3% → 17.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.29%	÷1.000	×1.220	—	—	17.43%
BB% (unintentional) /PA	5.32%	÷1.000	×0.700	—	×1.042	3.88%
HBP% /PA	0.66%	—	×0.870	—	×1.042	0.60%
Singles /BIP	23.95%	÷1.000	×0.920	×1.018	×1.042	23.36%
Doubles /BIP	5.04%	÷1.000	×0.840	×1.018	×1.042	4.49%
Triples /BIP	0.00%	÷1.000	×0.940	×1.018	×1.042	0.00%
Home runs /BIP	7.14%	÷1.000	×0.800	—	×1.042	5.95%

Factors used: league row TL. Park (home-season share, regressed): no park row on file (treated as neutral) — 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 ×1.018.

Result: wOBA .373 → .331; ISO .224 → .187; BABIP .311 → .295. 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).

2005 A+Rancho Cucamonga Quakes · 100 PAwOBA .407 → .370 (−37)K% 11.0% → 14.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	11.00%	÷1.000	×1.340	—	—	14.74%
BB% (unintentional) /PA	6.00%	÷1.000	×0.710	—	×1.012	4.31%
HBP% /PA	3.00%	—	×0.790	—	×1.012	2.40%
Singles /BIP	29.11%	÷1.000	×0.910	×1.050	×1.012	28.15%
Doubles /BIP	3.80%	÷1.000	×0.820	×1.050	×1.012	3.31%
Triples /BIP	0.00%	÷1.000	×0.760	×1.050	×1.012	0.00%
Home runs /BIP	6.33%	÷1.000	×0.920	—	×1.012	5.89%

Factors used: league row CAL. Park (home-season share, regressed): no park row on file (treated as neutral) — 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 ×1.050.

Result: wOBA .407 → .370; ISO .200 → .183; BABIP .347 → .330. 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).