Michael Morse

PosLF

B/TR/R

Born1982-03-22

Age (2027)45

No MLB projection yet. Career stats below are historical.

Overview

MLBLAST SEASON 2017

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2014	32	MLBSF	482	.279/.339/.475	16	0	132	1.3
2015	33	AAA/AA2 orgs	39	.265/.342/.382	1	0	46	—	.200/.262/.314
2015	33	MLBPIT	256	.231/.312/.336	5	0	89	-0.8
2017	35	MLBSF	40	.194/.256/.306	1	0	59	-0.3
2018	36	No MLB games played
2019	37	No MLB games played
2020	38	No MLB games played
2021	39	No MLB games played
2022	40	No MLB games played
2023	41	No MLB games played
2024	42	No MLB games played
2025	43	No MLB games played
2026	44	No MLB games played

Last 3 seasons WAR 0.2

Contract

No contract data on file.

Skills · percentileStatcast 2015-2017

Barrel%58

xwOBA54

Avg EV38

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	23	MLB	Seattle Mariners	—	258	230	64	10	1	3	18	50	8	3	1	278	352	370	721	91	341	19	7	327	107	+2	+0	-4	+5	+6	0.9
2005	23	AAA	Tacoma Rainiers	—	203	182	46	12	2	4	16	36	2	1	0	253	320	407	727	154	292	18	8	320	67	—	—	—	—	—	—
2006	24	MLB	Seattle Mariners	—	48	43	16	5	0	0	3	7	0	1	0	372	413	488	901	116	421	15	6	385	147	+3	+0	-0	-3	+1	0.1
2006	24	AAA	Tacoma Rainiers	—	228	206	51	15	1	5	14	46	3	0	1	248	305	403	708	155	289	20	6	309	62	—	—	—	—	—	—
2007	25	MLB	Seattle Mariners	—	20	18	8	2	0	0	1	4	1	0	0	444	500	556	1.056	111	571	20	5	472	205	+3	+0	+0	-6	+0	-0.3
2007	25	AAA	Tacoma Rainiers	—	324	291	90	26	0	6	26	47	3	5	3	309	372	460	832	151	349	15	8	366	96	—	—	—	—	—	—
2007	25	ROK	AZL Mariners	—	18	15	3	1	0	0	3	0	0	0	1	200	333	267	600	67	200	0	17	288	22	—	—	—	—	—	—
2009	27	MLB	Washington Nationals	—	55	52	13	3	0	3	3	16	0	0	0	250	291	481	772	231	303	29	5	337	114	+1	+0	+2	-9	+1	-0.6
2009	27	AAA	Syracuse Chiefs	—	472	425	137	26	3	16	35	77	9	2	1	322	386	511	897	188	361	16	7	394	120	—	—	—	—	—	—
2010	28	MLB	Washington Nationals	—	293	266	77	12	2	15	22	64	4	0	1	289	353	519	872	229	330	22	8	381	143	+15	-0	-9	-4	+6	0.8
2010	28	AAA	Syracuse Chiefs	—	60	51	13	2	0	3	8	11	1	0	0	255	367	471	837	216	270	18	13	373	85	—	—	—	—	—	—
2011	29	MLB	Washington Nationals	—	575	522	158	36	0	31	36	126	13	2	3	303	363	550	912	247	344	22	6	396	149	+34	-1	-21	-10	+12	1.5
2012	30	MLB	Washington Nationals	—	430	406	118	17	1	18	16	97	4	0	1	291	324	470	794	180	339	23	4	347	121	+11	-0	-8	-5	+9	0.8
2013	31	MLB	Baltimore Orioles	—	337	312	67	13	0	13	21	87	3	0	0	215	271	381	652	167	254	26	6	290	76	-10	+0	-11	-4	+7	-1.8
2013	31	AAA	Tacoma Rainiers	—	26	24	6	1	0	1	2	6	0	0	0	250	308	417	724	167	294	23	8	322	51	—	—	—	—	—	—
2014	32	MLB	San Francisco Giants	—	482	438	122	32	3	16	31	121	9	0	0	279	339	475	814	196	348	25	6	356	132	+18	+0	-11	-5	+10	1.3
2015	33	MLB	Pittsburgh Pirates	—	256	229	53	7	1	5	23	76	4	0	0	231	312	336	649	105	324	30	9	298	89	-3	+0	-5	-5	+6	-0.8
2015	33	AAA	New Orleans Zephyrs	—	19	17	4	0	0	0	0	9	1	0	0	235	278	235	513		444	47	0	229	7	—	—	—	—	—	—
2015	33	AA	Jacksonville Suns	—	20	17	5	1	0	1	3	7	0	0	0	294	400	529	929	235	444	35	15	409	84	—	—	—	—	—	—
2017	35	MLB	San Francisco Giants	—	40	36	7	1	0	1	3	14	0	0	0	194	256	306	562	111	273	35	8	250	59	-2	+0	-1	-1	+1	-0.3
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	2794	2552	703	138	8	105	177	662	46	6	6	275	334	459	793	184	331	24	6	349	122	+74	-1	-68	-48	+61	1.8
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2005	23	MLB MLE	Seattle Mariners	—	258	230	64	10	1	3	18	50	8	3	1	278	352	370	721	91	341	19	7	327	107	+2	+0	-4	+5	+6	0.9
2005	23	AAA MLE	Tacoma Rainiers	—	203	187	41	10	2	3	11	46	2	1	0	219	270	342	612	123	263	23	5	267	67	—	—	—	—	—	—
2006	24	MLB MLE	Seattle Mariners	—	48	43	16	5	0	0	3	7	0	1	0	372	413	488	901	116	421	15	6	385	147	+3	+0	-0	-3	+1	0.1
2006	24	AAA MLE	Tacoma Rainiers	—	228	210	45	12	1	4	10	59	3	0	1	214	260	338	598	124	262	26	4	260	62	—	—	—	—	—	—
2007	25	MLB MLE	Seattle Mariners	—	20	18	8	2	0	0	1	4	1	0	0	444	500	556	1.056	111	571	20	5	472	205	+3	+0	+0	-6	+0	-0.3
2007	25	AAA MLE	Tacoma Rainiers	—	324	300	81	22	0	5	17	61	3	5	3	270	316	393	709	123	316	19	5	310	96	—	—	—	—	—	—
2007	25	ROK MLE	AZL Mariners	—	18	16	3	1	0	0	2	0	0	0	1	188	278	250	528	62	149	0	11	200	22	—	—	—	—	—	—
2009	27	MLB MLE	Washington Nationals	—	55	52	13	3	0	3	3	16	0	0	0	250	291	481	772	231	303	29	5	337	114	+1	+0	+2	-9	+1	-0.6
2009	27	AAA MLE	Syracuse Chiefs	—	472	438	130	23	3	14	22	93	9	2	1	297	343	459	802	162	342	20	5	345	120	—	—	—	—	—	—
2010	28	MLB MLE	Washington Nationals	—	293	267	77	12	2	15	21	64	4	0	1	288	349	517	866	228	330	22	7	380	143	+15	-0	-9	-4	+6	0.8
2010	28	AAA MLE	Syracuse Chiefs	—	60	54	11	2	0	2	5	14	1	0	0	204	283	352	635	148	238	23	8	294	85	—	—	—	—	—	—
2011	29	MLB MLE	Washington Nationals	—	575	527	157	35	0	31	31	126	13	2	3	298	352	541	893	243	344	22	5	389	149	+34	-1	-21	-10	+12	1.5
2012	30	MLB MLE	Washington Nationals	—	430	406	118	17	1	18	16	97	4	0	1	291	324	470	794	180	339	23	4	347	121	+11	-0	-8	-5	+9	0.8
2013	31	MLB MLE	Baltimore Orioles	—	337	313	66	13	0	12	20	87	3	0	0	211	265	367	632	157	254	26	6	280	76	-10	+0	-11	-4	+7	-1.8
2013	31	AAA MLE	Tacoma Rainiers	—	26	25	5	1	0	1	1	8	0	0	0	200	231	360	591	160	252	31	4	244	51	—	—	—	—	—	—
2014	32	MLB MLE	San Francisco Giants	—	482	438	124	32	3	17	31	121	9	0	0	283	343	486	829	203	348	25	6	364	132	+18	+0	-11	-5	+10	1.3
2015	33	MLB MLE	Pittsburgh Pirates	—	256	229	53	7	1	5	23	76	4	0	0	231	312	336	649	105	324	30	9	300	89	-3	+0	-5	-5	+6	-0.8
2015	33	AAA MLE	New Orleans Zephyrs	—	19	17	3	0	0	0	0	11	1	0	0	176	222	176	399		380	58	0	179	7	—	—	—	—	—	—
2015	33	AA MLE	Jacksonville Suns	—	20	18	4	1	0	1	2	9	0	0	0	222	300	444	744	222	376	45	10	292	84	—	—	—	—	—	—
2017	35	MLB MLE	San Francisco Giants	—	40	36	7	1	0	1	3	14	0	0	0	194	256	306	562	111	273	35	8	255	59	-2	+0	-1	-1	+1	-0.3
2005	23	MLB MLE	2 teams	—	461	417	105	20	3	6	29	96	10	4	1	252	316	357	673	106	310	21	6	301	90	-6	+0	-4	+5	+10	0.6
2005	23	MLB RAW	2 teams	—	461	412	110	22	3	7	34	86	10	4	1	267	338	386	724	119	319	19	7	324	90	-6	+0	-4	+5	+10	0.6
2006	24	AAA MLE	2 teams	—	276	253	61	17	1	4	13	66	3	1	1	241	286	364	650	123	302	24	5	282	77	—	—	—	—	—	—
2006	24	AAA RAW	2 teams	—	276	249	67	20	1	5	17	53	3	1	1	269	323	418	741	149	315	19	6	322	77	—	—	—	—	—	—
2007	25	AAA MLE	3 teams	—	362	334	92	25	0	5	20	65	4	5	4	275	324	395	719	120	326	18	6	313	98	—	—	—	—	—	—
2007	25	AAA RAW	3 teams	—	362	324	101	29	0	6	30	51	4	5	4	312	377	457	834	145	352	14	8	368	98	—	—	—	—	—	—
2009	27	AAA MLE	2 teams	—	527	490	143	26	3	17	25	109	9	2	1	292	338	461	799	169	343	21	5	344	119	—	—	—	—	—	—
2009	27	AAA RAW	2 teams	—	527	477	150	29	3	19	38	93	9	2	1	314	376	507	883	193	356	18	7	388	119	—	—	—	—	—	—
2010	28	MLB MLE	2 teams	—	353	321	87	13	2	17	26	78	5	0	1	271	335	483	818	212	308	22	7	365	133	+14	-0	-9	-4	+8	0.9
2010	28	MLB RAW	2 teams	—	353	317	90	14	2	18	30	75	5	0	1	284	355	511	866	227	320	21	8	379	133	+14	-0	-9	-4	+8	0.9
2011	29	MLB MLE	Washington Nationals	—	575	527	157	35	0	31	31	126	13	2	3	298	352	541	893	243	337	22	5	389	149	+34	-1	-21	-10	+12	1.5
2011	29	MLB RAW	Washington Nationals	—	575	522	158	36	0	31	36	126	13	2	3	303	363	550	912	247	344	22	6	396	149	+34	-1	-21	-10	+12	1.5
2012	30	MLB MLE	Washington Nationals	—	430	406	118	17	1	18	16	97	4	0	1	291	324	470	794	180	339	23	4	347	121	+11	-0	-8	-5	+9	0.8
2012	30	MLB RAW	Washington Nationals	—	430	406	118	17	1	18	16	97	4	0	1	291	324	470	794	180	339	23	4	347	121	+11	-0	-8	-5	+9	0.8
2013	31	MLB MLE	2 teams	—	363	338	71	14	0	13	21	95	3	0	0	210	262	367	629	157	251	26	6	277	74	-11	+0	-11	-4	+8	-1.9
2013	31	MLB RAW	2 teams	—	363	336	73	14	0	14	23	93	3	0	0	217	273	384	657	167	257	26	6	292	74	-11	+0	-11	-4	+8	-1.9
2014	32	MLB MLE	San Francisco Giants	—	482	438	124	32	3	17	31	121	9	0	0	283	343	486	829	203	352	25	6	364	132	+18	+0	-11	-5	+10	1.3
2014	32	MLB RAW	San Francisco Giants	—	482	438	122	32	3	16	31	121	9	0	0	279	339	475	814	196	348	25	6	356	132	+18	+0	-11	-5	+10	1.3
2015	33	MLB MLE	3 teams	—	295	264	60	7	1	6	25	96	5	0	0	227	306	330	636	102	331	33	8	292	84	-6	+0	-5	-5	+6	-0.9
2015	33	MLB RAW	3 teams	—	295	263	62	8	1	6	26	92	5	0	0	236	316	342	659	106	337	31	9	301	84	-6	+0	-5	-5	+6	-0.9
2017	35	MLB MLE	San Francisco Giants	—	40	36	7	1	0	1	3	14	0	0	0	194	256	306	562	111	273	35	8	255	59	-2	+0	-1	-1	+1	-0.3
2017	35	MLB RAW	San Francisco Giants	—	40	36	7	1	0	1	3	14	0	0	0	194	256	306	562	111	273	35	8	250	59	-2	+0	-1	-1	+1	-0.3
2005	23	MLB MLE	2 teams	—	461	419	105	20	3	6	29	96	10	4	1	251	316	356	671	105	307	21	6	301	90	—	—	—	—	—	—
2006	24	AAA MLE	2 teams	—	276	258	61	17	1	4	13	66	3	1	1	236	286	357	643	120	290	24	5	282	77	—	—	—	—	—	—
2007	25	AAA MLE	3 teams	—	362	335	92	25	0	5	20	65	4	5	4	275	324	394	718	119	322	18	6	313	98	—	—	—	—	—	—
2009	27	AAA MLE	2 teams	—	527	488	143	26	3	17	25	109	9	2	1	293	338	463	801	170	338	21	5	344	119	—	—	—	—	—	—
2010	28	MLB MLE	2 teams	—	353	319	87	13	2	17	26	78	5	0	1	273	335	486	821	213	314	22	7	365	133	—	—	—	—	—	—
2011	29	MLB MLE	Washington Nationals	—	575	526	157	35	0	31	31	126	13	2	3	298	352	542	894	243	344	22	5	389	149	—	—	—	—	—	—
2012	30	MLB MLE	Washington Nationals	—	430	407	118	17	1	18	16	97	4	0	1	290	324	469	793	179	339	23	4	347	121	—	—	—	—	—	—
2013	31	MLB MLE	2 teams	—	363	336	71	14	0	13	21	95	3	0	0	211	262	369	631	158	253	26	6	277	74	—	—	—	—	—	—
2014	32	MLB MLE	San Francisco Giants	—	482	439	124	32	3	17	31	121	9	0	0	282	343	485	828	203	348	25	6	364	132	—	—	—	—	—	—
2015	33	MLB MLE	3 teams	—	295	263	60	7	1	6	25	96	5	0	0	228	306	331	637	103	331	33	8	292	84	—	—	—	—	—	—
2017	35	MLB MLE	San Francisco Giants	—	40	37	7	1	0	1	3	14	0	0	0	189	256	297	554	108	273	35	8	255	59	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2794	2552	703	138	8	105	177	662	46	6	6	275	334	459	793	184	331	24	6	349	111	+74	-1	-68	-48	+61	1.8
/ 162G	—	A+C		—	650	594	163	32	2	24	41	154	11	1	1	274	333	456	789	182	331	24	6	349	111	+17	-0	-16	-11	+14	0.4
Career	—	MLE		—	4164	3824	1025	207	14	135	240	963	65	14	12	268	322	435	758	167	323	23	6	333	111	+74	-1	-68	-48	+61	1.8
/ 162G	—	MLE		—	650	597	159	32	2	21	37	150	10	2	2	266	319	432	752	166	320	23	6	333	111	+17	-0	-16	-11	+14	0.4

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.

2015 AAJacksonville Suns · 20 PAwOBA .398 → .292 (−106)K% 35.0% → 44.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	35.00%	÷0.964	×1.220	—	—	44.30%
BB% (unintentional) /PA	15.00%	÷1.017	×0.680	—	×0.940	9.43%
HBP% /PA	0.00%	—	×0.840	—	×0.940	0.00%
Singles /BIP	30.00%	÷0.990	×0.920	—	×0.940	26.21%
Doubles /BIP	10.00%	÷1.012	×0.910	—	×0.940	8.45%
Triples /BIP	0.00%	÷0.900	×0.880	—	×0.940	0.00%
Home runs /BIP	10.00%	÷0.973	×0.800	—	×0.940	7.73%

Factors used: league row SL. Park (home-season share, regressed): HR 95, 1B 98, 2B 102, 3B 80, K 93, BB 103 — applied at half strength. Age: age 33 vs a level average of 24.8 → −6.0% on BB/HBP/hit rates (8.2 yr older than average).

Result: wOBA .398 → .292; ISO .235 → .172; BABIP .444 → .376. 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 AAANew Orleans Zephyrs · 19 PAwOBA .236 → .179 (−56)K% 47.4% → 60.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	47.37%	÷1.016	×1.290	—	—	60.14%
BB% (unintentional) /PA	0.00%	÷0.997	×0.710	—	×0.942	0.00%
HBP% /PA	5.26%	—	×0.980	—	×0.942	4.86%
Singles /BIP	50.00%	÷0.969	×0.900	—	×0.942	43.75%
Doubles /BIP	0.00%	÷1.012	×0.810	—	×0.942	0.00%
Triples /BIP	0.00%	÷0.985	×0.810	—	×0.942	0.00%
Home runs /BIP	0.00%	÷0.975	×0.780	—	×0.942	0.00%

Factors used: league row PCL. Park (home-season share, regressed): HR 95, 1B 94, 2B 102, 3B 97, K 103, BB 99 — applied at half strength. Age: age 33 vs a level average of 27.2 → −5.8% on BB/HBP/hit rates (5.8 yr older than average).

Result: wOBA .236 → .179; ISO .000 → .000; BABIP .444 → .380. 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 AAATacoma Rainiers · 26 PAwOBA .298 → .244 (−54)K% 23.1% → 28.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.08%	÷1.030	×1.290	—	—	28.92%
BB% (unintentional) /PA	3.85%	÷1.049	×0.710	—	×0.962	2.50%
HBP% /PA	0.00%	—	×0.980	—	×0.962	0.00%
Singles /BIP	22.22%	÷0.983	×0.900	—	×0.962	19.57%
Doubles /BIP	5.56%	÷0.957	×0.810	—	×0.962	4.52%
Triples /BIP	0.00%	÷0.900	×0.810	—	×0.962	0.00%
Home runs /BIP	5.56%	÷0.938	×0.780	—	×0.962	4.45%

Factors used: league row PCL. Park (home-season share, regressed): HR 88, 1B 97, 2B 91, 3B 80, K 106, BB 110 — applied at half strength. Age: age 31 vs a level average of 27.2 → −3.8% on BB/HBP/hit rates (3.8 yr older than average).

Result: wOBA .298 → .244; ISO .167 → .133; BABIP .294 → .252. 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 AAASyracuse Chiefs · 60 PAwOBA .363 → .294 (−69)K% 18.3% → 22.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.33%	÷0.980	×1.200	—	—	22.46%
BB% (unintentional) /PA	13.33%	÷1.027	×0.690	—	×0.992	8.89%
HBP% /PA	1.67%	—	×0.940	—	×0.992	1.55%
Singles /BIP	20.00%	÷0.999	×0.930	—	×0.992	18.46%
Doubles /BIP	5.00%	÷1.043	×0.830	—	×0.992	3.95%
Triples /BIP	0.00%	÷0.918	×0.970	—	×0.992	0.00%
Home runs /BIP	7.50%	÷1.055	×0.840	—	×0.992	5.92%

Factors used: league row IL. Park (home-season share, regressed): HR 111, 1B 100, 2B 109, 3B 84, K 96, BB 105 — 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).

Result: wOBA .363 → .294; ISO .216 → .171; BABIP .270 → .238. 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).

2009 AAASyracuse Chiefs · 472 PAwOBA .383 → .345 (−38)K% 16.3% → 19.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.31%	÷1.000	×1.200	—	—	19.58%
BB% (unintentional) /PA	6.78%	÷1.000	×0.690	—	×1.003	4.69%
HBP% /PA	1.91%	—	×0.940	—	×1.003	1.80%
Singles /BIP	26.44%	÷1.000	×0.930	×1.046	×1.003	25.80%
Doubles /BIP	7.47%	÷1.000	×0.830	×1.046	×1.003	6.51%
Triples /BIP	0.86%	÷1.000	×0.970	×1.046	×1.003	0.88%
Home runs /BIP	4.60%	÷1.000	×0.840	—	×1.003	3.87%

Factors used: league row IL. Park (home-season share, regressed): no park row on file (treated as neutral) — 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 ×1.046.

Result: wOBA .383 → .345; ISO .188 → .163; BABIP .361 → .342. 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 AAATacoma Rainiers · 324 PAwOBA .358 → .310 (−48)K% 14.5% → 18.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.51%	÷1.000	×1.290	—	—	18.71%
BB% (unintentional) /PA	7.41%	÷1.000	×0.710	—	×1.033	5.43%
HBP% /PA	0.93%	—	×0.980	—	×1.033	0.94%
Singles /BIP	23.77%	÷1.000	×0.900	×1.010	×1.033	22.33%
Doubles /BIP	10.66%	÷1.000	×0.810	×1.010	×1.033	9.01%
Triples /BIP	0.00%	÷1.000	×0.810	×1.010	×1.033	0.00%
Home runs /BIP	2.46%	÷1.000	×0.780	—	×1.033	1.98%

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 ×1.010.

Result: wOBA .358 → .310; ISO .151 → .125; BABIP .349 → .316. 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 ROKAZL Mariners · 18 PAwOBA .282 → .200 (−82)K% 0.0% → 0.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	0.00%	÷1.000	×1.440	—	—	0.00%
BB% (unintentional) /PA	16.67%	÷1.000	×0.620	—	×0.945	9.77%
HBP% /PA	0.00%	—	×0.720	—	×0.945	0.00%
Singles /BIP	13.33%	÷1.000	×0.820	—	×0.945	10.33%
Doubles /BIP	6.67%	÷1.000	×0.720	—	×0.945	4.54%
Triples /BIP	0.00%	÷1.000	×0.720	—	×0.945	0.00%
Home runs /BIP	0.00%	÷1.000	×0.780	—	×0.945	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 25 vs a level average of 19.5 → −5.5% on BB/HBP/hit rates (5.5 yr older than average).

Result: wOBA .282 → .200; ISO .067 → .049; BABIP .200 → .149. 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 AAATacoma Rainiers · 228 PAwOBA .304 → .260 (−44)K% 20.2% → 26.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.18%	÷1.000	×1.290	—	—	26.03%
BB% (unintentional) /PA	5.70%	÷1.000	×0.710	—	×1.048	4.24%
HBP% /PA	1.32%	—	×0.980	—	×1.048	1.35%
Singles /BIP	18.75%	÷1.000	×0.900	×1.001	×1.048	17.70%
Doubles /BIP	9.38%	÷1.000	×0.810	×1.001	×1.048	7.97%
Triples /BIP	0.62%	÷1.000	×0.810	×1.001	×1.048	0.53%
Home runs /BIP	3.12%	÷1.000	×0.780	—	×1.048	2.55%

Factors used: league row PCL. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 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 ×1.001.

Result: wOBA .304 → .260; ISO .155 → .126; BABIP .289 → .262. 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).