Mike Jacobs

Pos1B

B/TL/R

Born1980-10-30

Age (2027)46

No MLB projection yet. Career stats below are historical.

Overview

AAALAST SEASON 2016

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2014	33	AAA/INTL2 orgs	718	.284/.359/.455	22	0	66	—	.210/.264/.328
2015	34	AAA/INTL2 orgs	688	.261/.341/.399	15	2	58	—	.204/.248/.300
2016	35	AAAToros de Tiju…	177	.295/.415/.514	6	1	96	—	.239/.312/.377

Contract

No contract data on file.

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	24	MLB	New York Mets	—	112	100	31	7	0	11	10	22	1	0	0	310	378	710	1.088	400	294	20	9	459	196	+13	+0	-2	-11	+2	0.2
2005	24	AA	Binghamton Mets	—	482	433	139	37	2	25	35	94	7	1	2	321	381	589	970	268	356	20	7	415	124	—	—	—	—	—	—
2006	25	MLB	Florida Marlins	—	520	469	123	37	1	20	45	105	1	3	0	262	328	473	802	211	295	20	9	349	121	+13	+1	-13	-9	+11	0.2
2007	26	MLB	Florida Marlins	—	460	426	113	27	2	17	31	101	2	1	2	265	318	458	776	192	311	22	7	341	114	+8	-1	-16	-8	+10	-0.7
2008	27	MLB	Florida Marlins	—	519	477	118	27	2	32	36	119	1	1	0	247	302	514	815	266	260	23	7	351	114	+9	+0	-26	-9	+11	-1.5
2009	28	MLB	Kansas City Royals	—	478	434	99	16	1	19	41	132	2	0	0	228	298	401	699	173	282	28	9	311	95	-3	+0	+0	-9	+10	-0.1
2010	29	MLB	New York Mets	—	28	24	5	1	0	1	3	7	0	0	0	208	296	375	671	167	250	25	11	292	87	-0	+0	+0	-10	+1	-1.0
2010	29	AAA	Las Vegas 51s	—	528	469	128	29	3	21	49	86	0	1	0	273	342	482	824	209	288	16	9	356	70	—	—	—	—	—	—
2011	30	AAA	Colorado Springs Sky Sox	—	495	429	128	30	1	23	58	105	0	3	3	298	382	534	916	235	340	21	12	395	79	—	—	—	—	—	—
2011	30	INTL	Aguilas de Mexicali	—	107	88	23	3	0	6	18	18	0	0	0	261	387	500	887	239	262	17	17	388	149	—	—	—	—	—	—
2012	31	MLB	Arizona Diamondbacks	—	23	19	4	1	0	0	4	6	0	0	0	211	348	263	611	53	308	26	17	295	62	-1	+0	-1	-7	+0	-0.9
2012	31	AAA	Reno Aces	—	378	333	93	15	0	18	44	83	0	2	2	279	363	486	850	207	322	22	12	375	65	—	—	—	—	—	—
2013	32	AAA	Reno Aces	—	514	460	136	25	0	28	50	103	2	0	0	296	367	533	900	237	326	20	10	393	71	—	—	—	—	—	—
2013	32	INTL	Aguilas de Mexicali	—	94	77	14	4	0	5	15	23	1	0	0	182	323	429	751	247	180	24	16	333	111	—	—	—	—	—	—
2014	33	AAA	Reno Aces	—	575	501	150	37	0	19	60	120	3	0	0	299	378	487	865	188	351	21	10	376	63	—	—	—	—	—	—
2014	33	INTL	Aguilas de Mexicali	—	143	132	30	5	0	3	10	29	1	0	0	227	287	333	620	106	270	20	7	282	77	—	—	—	—	—	—
2015	34	AAA	Guerreros de Oaxaca	—	484	431	119	25	1	14	52	92	0	2	0	276	354	436	790	160	322	19	11	353	51	—	—	—	—	—	—
2015	34	INTL	Venados de Mazatlan	—	204	178	40	12	0	1	21	31	1	0	0	225	310	309	619	84	260	15	10	281	76	—	—	—	—	—	—
2016	35	AAA	Toros de Tijuana	—	177	146	43	14	0	6	29	21	1	1	0	295	415	514	928	219	308	12	16	408	96	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	2140	1949	493	116	6	100	170	492	7	5	2	253	315	473	788	220	287	23	8	344	119	+48	+0	-57	-63	+46	-2.6
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2005	24	MLB MLE	New York Mets	—	112	100	31	7	0	11	10	22	1	0	0	310	378	710	1.088	400	294	20	9	459	196	+13	+0	-2	-11	+2	0.2
2005	24	AA MLE	Binghamton Mets	—	482	448	127	32	2	20	20	115	7	1	2	283	324	498	822	214	328	24	4	351	124	—	—	—	—	—	—
2006	25	MLB MLE	Florida Marlins	—	520	471	123	37	1	20	43	105	1	3	0	261	324	471	796	210	295	20	8	347	121	+13	+1	-13	-9	+11	0.2
2007	26	MLB MLE	Florida Marlins	—	460	429	113	27	2	17	28	101	2	1	2	263	312	455	766	191	311	22	6	337	114	+8	-1	-16	-8	+10	-0.7
2008	27	MLB MLE	Florida Marlins	—	519	487	118	27	2	32	26	119	1	1	0	242	282	503	785	261	260	23	5	337	114	+9	+0	-26	-9	+11	-1.5
2009	28	MLB MLE	Kansas City Royals	—	478	436	99	16	1	19	39	132	2	0	0	227	294	399	693	172	282	28	8	308	95	-3	+0	+0	-9	+10	-0.1
2010	29	MLB MLE	New York Mets	—	28	24	5	1	0	1	3	7	0	0	0	208	296	375	671	167	250	25	11	297	87	-0	+0	+0	-10	+1	-1.0
2010	29	AAA MLE	Las Vegas 51s	—	528	486	103	21	2	15	32	116	0	1	0	212	261	356	617	144	234	22	6	271	70	—	—	—	—	—	—
2011	30	AAA MLE	Colorado Springs Sky Sox	—	495	447	97	22	1	16	40	147	0	3	3	217	281	378	659	161	266	30	8	285	79	—	—	—	—	—	—
2012	31	MLB MLE	Arizona Diamondbacks	—	23	20	4	1	0	0	3	6	0	0	0	200	304	250	554	50	308	26	13	259	62	-1	+0	-1	-7	+0	-0.9
2012	31	AAA MLE	Reno Aces	—	378	351	73	10	0	13	26	112	0	2	2	208	263	348	610	140	260	30	7	265	65	—	—	—	—	—	—
2013	32	AAA MLE	Reno Aces	—	514	476	100	18	0	18	34	133	2	0	0	210	266	361	627	151	250	26	7	273	71	—	—	—	—	—	—
2014	33	AAA MLE	Reno Aces	—	575	525	110	26	0	12	36	160	3	0	0	210	264	328	592	118	261	28	6	262	63	—	—	—	—	—	—
2015	34	AAA MLE	Guerreros de Oaxaca	—	484	456	93	18	1	8	27	114	0	2	0	204	248	300	549	96	251	24	6	243	51	—	—	—	—	—	—
2016	35	AAA MLE	Toros de Tijuana	—	177	159	38	13	0	3	16	24	1	1	0	239	312	377	690	138	260	14	9	310	96	—	—	—	—	—	—
2005	24	AA MLE	2 teams	—	594	548	158	39	2	31	30	137	8	1	2	288	334	536	871	248	328	23	5	371	137	—	—	—	—	—	—
2005	24	AA RAW	2 teams	—	594	533	170	44	2	36	45	116	8	1	2	319	381	612	992	293	345	20	8	423	137	—	—	—	—	—	—
2006	25	MLB MLE	Florida Marlins	—	520	471	123	37	1	20	43	105	1	3	0	261	324	471	796	210	293	20	8	347	121	+13	+1	-13	-9	+11	0.2
2006	25	MLB RAW	Florida Marlins	—	520	469	123	37	1	20	45	105	1	3	0	262	328	473	802	211	295	20	9	349	121	+13	+1	-13	-9	+11	0.2
2007	26	MLB MLE	Florida Marlins	—	460	429	113	27	2	17	28	101	2	1	2	263	312	455	766	191	308	22	6	337	114	+8	-1	-16	-8	+10	-0.7
2007	26	MLB RAW	Florida Marlins	—	460	426	113	27	2	17	31	101	2	1	2	265	318	458	776	192	311	22	7	341	114	+8	-1	-16	-8	+10	-0.7
2008	27	MLB MLE	Florida Marlins	—	519	487	118	27	2	32	26	119	1	1	0	242	282	503	785	261	252	23	5	337	114	+9	+0	-26	-9	+11	-1.5
2008	27	MLB RAW	Florida Marlins	—	519	477	118	27	2	32	36	119	1	1	0	247	302	514	815	266	260	23	7	351	114	+9	+0	-26	-9	+11	-1.5
2009	28	MLB MLE	Kansas City Royals	—	478	436	99	16	1	19	39	132	2	0	0	227	294	399	693	172	280	28	8	308	95	-3	+0	+0	-9	+10	-0.1
2009	28	MLB RAW	Kansas City Royals	—	478	434	99	16	1	19	41	132	2	0	0	228	298	401	699	173	282	28	9	311	95	-3	+0	+0	-9	+10	-0.1
2010	29	AAA MLE	2 teams	—	556	510	108	22	2	16	35	123	0	1	0	212	262	357	619	145	241	22	6	272	70	—	—	—	—	—	—
2010	29	AAA RAW	2 teams	—	556	493	133	30	3	22	52	93	0	1	0	270	339	477	816	207	286	17	9	353	70	—	—	—	—	—	—
2011	30	AAA MLE	2 teams	—	602	545	116	26	1	19	48	178	0	3	3	213	277	369	645	156	272	30	8	285	79	—	—	—	—	—	—
2011	30	AAA RAW	2 teams	—	602	517	151	33	1	29	76	123	0	3	3	292	383	528	911	236	326	20	13	394	79	—	—	—	—	—	—
2012	31	AAA MLE	2 teams	—	401	371	77	11	0	13	29	118	0	2	2	208	265	342	607	135	266	29	7	265	65	—	—	—	—	—	—
2012	31	AAA RAW	2 teams	—	401	352	97	16	0	18	48	89	0	2	2	276	362	474	837	199	321	22	12	370	65	—	—	—	—	—	—
2013	32	AAA MLE	2 teams	—	608	561	118	21	0	21	41	157	3	0	0	210	268	360	628	150	251	26	7	273	71	—	—	—	—	—	—
2013	32	AAA RAW	2 teams	—	608	537	150	29	0	33	65	126	3	0	0	279	360	518	878	238	307	21	11	383	71	—	—	—	—	—	—
2014	33	AAA MLE	2 teams	—	718	658	137	32	0	15	45	200	4	0	0	208	263	325	588	117	269	28	6	262	63	—	—	—	—	—	—
2014	33	AAA RAW	2 teams	—	718	633	180	42	0	22	70	149	4	0	0	284	359	455	814	171	334	21	10	357	63	—	—	—	—	—	—
2015	34	AAA MLE	2 teams	—	688	644	131	25	1	11	38	162	1	2	0	203	249	297	545	93	252	24	6	243	51	—	—	—	—	—	—
2015	34	AAA RAW	2 teams	—	688	609	159	37	1	15	73	123	1	2	0	261	341	399	740	138	303	18	11	331	51	—	—	—	—	—	—
2016	35	AAA MLE	Toros de Tijuana	—	177	159	38	13	0	3	16	24	1	1	0	239	312	377	690	138	263	14	9	310	96	—	—	—	—	—	—
2016	35	AAA RAW	Toros de Tijuana	—	177	146	43	14	0	6	29	21	1	1	0	295	415	514	928	219	308	12	16	408	96	—	—	—	—	—	—
2005	24	AA MLE	2 teams	—	594	551	158	39	2	31	30	137	8	1	2	287	334	534	868	247	322	23	5	371	137	—	—	—	—	—	—
2006	25	MLB MLE	Florida Marlins	—	520	471	123	37	1	20	43	105	1	3	0	261	324	471	796	210	295	20	8	347	121	—	—	—	—	—	—
2007	26	MLB MLE	Florida Marlins	—	460	427	113	27	2	17	28	101	2	1	2	265	312	457	768	192	311	22	6	337	114	—	—	—	—	—	—
2008	27	MLB MLE	Florida Marlins	—	519	487	118	27	2	32	26	119	1	1	0	242	282	503	785	261	260	23	5	337	114	—	—	—	—	—	—
2009	28	MLB MLE	Kansas City Royals	—	478	434	99	16	1	19	39	132	2	0	0	228	294	401	694	173	282	28	8	308	95	—	—	—	—	—	—
2010	29	AAA MLE	2 teams	—	556	516	108	22	2	16	35	123	0	1	0	209	262	353	615	143	235	22	6	272	70	—	—	—	—	—	—
2011	30	AAA MLE	2 teams	—	602	549	116	26	1	19	48	178	0	3	3	211	277	366	643	155	266	30	8	285	79	—	—	—	—	—	—
2012	31	AAA MLE	2 teams	—	401	369	77	11	0	13	29	118	0	2	2	209	265	344	609	136	263	29	7	265	65	—	—	—	—	—	—
2013	32	AAA MLE	2 teams	—	608	559	118	21	0	21	41	157	3	0	0	211	268	361	629	150	250	26	7	273	71	—	—	—	—	—	—
2014	33	AAA MLE	2 teams	—	718	663	137	32	0	15	45	200	4	0	0	207	263	323	586	116	261	28	6	262	63	—	—	—	—	—	—
2015	34	AAA MLE	2 teams	—	688	644	131	25	1	11	38	162	1	2	0	203	249	297	545	93	251	24	6	243	51	—	—	—	—	—	—
2016	35	AAA MLE	Toros de Tijuana	—	177	158	38	13	0	3	16	24	1	1	0	241	312	380	692	139	260	14	9	310	96	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2140	1949	493	116	6	100	170	492	7	5	2	253	315	473	788	220	287	23	8	344	88	+48	+0	-57	-63	+46	-2.6
/ 162G	—	A+C		—	650	592	149	35	2	30	52	149	2	2	1	252	314	470	784	218	285	23	8	344	88	+15	+0	-17	-19	+14	-0.8
Career	—	MLE		—	6321	5819	1336	296	12	217	418	1556	23	15	9	230	284	396	680	167	273	25	7	298	88	+48	+0	-57	-63	+46	-2.6
/ 162G	—	MLE		—	650	598	136	30	1	22	43	160	2	2	1	227	281	391	672	164	270	25	7	298	88	+15	+0	-17	-19	+14	-0.8

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.

2016 AAAToros de Tijuana · 177 PAwOBA .395 → .310 (−85)K% 11.9% → 13.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	11.86%	÷1.062	×1.200	—	—	13.41%
BB% (unintentional) /PA	14.69%	÷1.055	×0.690	—	×0.940	9.03%
HBP% /PA	0.56%	—	×0.940	—	×0.940	0.50%
Singles /BIP	18.40%	÷0.967	×0.930	×0.981	×0.940	16.31%
Doubles /BIP	11.20%	÷0.926	×0.830	×0.981	×0.940	9.25%
Triples /BIP	0.00%	÷0.941	×0.920	×0.981	×0.940	0.00%
Home runs /BIP	4.80%	÷1.278	×0.700	—	×0.940	2.47%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 156, 1B 93, 2B 85, 3B 88, K 112, BB 111 — applied at half strength. Age: age 36 vs a level average of 27.2 → −6.0% on BB/HBP/hit rates (8.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.981.

Result: wOBA .395 → .310; ISO .219 → .156; BABIP .308 → .260. 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 AAAGuerreros de Oaxaca · 484 PAwOBA .337 → .243 (−94)K% 19.0% → 23.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.01%	÷0.966	×1.200	—	—	23.61%
BB% (unintentional) /PA	8.68%	÷1.029	×0.690	—	×0.940	5.47%
HBP% /PA	0.00%	—	×0.940	—	×0.940	0.00%
Singles /BIP	23.30%	÷1.059	×0.930	×1.000	×0.940	19.24%
Doubles /BIP	7.37%	÷1.117	×0.830	×1.000	×0.940	5.15%
Triples /BIP	0.29%	÷1.017	×0.920	×1.000	×0.940	0.25%
Home runs /BIP	4.13%	÷1.244	×0.700	—	×0.940	2.19%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 149, 1B 112, 2B 123, 3B 103, K 93, BB 106 — applied at half strength. Age: age 35 vs a level average of 27.2 → −6.0% on BB/HBP/hit rates (7.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.000.

Result: wOBA .337 → .243; ISO .160 → .097; BABIP .322 → .251. 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 AAAReno Aces · 575 PAwOBA .371 → .262 (−109)K% 20.9% → 27.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.87%	÷0.965	×1.290	—	—	27.90%
BB% (unintentional) /PA	9.74%	÷1.049	×0.710	—	×0.940	6.20%
HBP% /PA	0.52%	—	×0.980	—	×0.940	0.48%
Singles /BIP	24.67%	÷1.047	×0.900	×0.965	×0.940	19.23%
Doubles /BIP	9.71%	÷1.047	×0.810	×0.965	×0.940	6.81%
Triples /BIP	0.00%	÷1.150	×0.810	×0.965	×0.940	0.00%
Home runs /BIP	4.99%	÷1.116	×0.780	—	×0.940	3.28%

Factors used: league row PCL. Park (home-season share, regressed): HR 123, 1B 109, 2B 109, 3B 130, K 93, BB 110 — applied at half strength. Age: age 34 vs a level average of 27.2 → −6.0% on BB/HBP/hit rates (6.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.965.

Result: wOBA .371 → .262; ISO .188 → .125; BABIP .351 → .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).

2013 AAAReno Aces · 514 PAwOBA .383 → .273 (−110)K% 20.0% → 25.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.04%	÷1.000	×1.290	—	—	25.85%
BB% (unintentional) /PA	9.53%	÷0.947	×0.710	—	×0.942	6.73%
HBP% /PA	0.39%	—	×0.980	—	×0.942	0.36%
Singles /BIP	23.25%	÷1.018	×0.900	×0.963	×0.942	18.64%
Doubles /BIP	7.00%	÷0.994	×0.810	×0.963	×0.942	5.17%
Triples /BIP	0.00%	÷1.150	×0.810	×0.963	×0.942	0.00%
Home runs /BIP	7.84%	÷1.121	×0.780	—	×0.942	5.14%

Factors used: league row PCL. Park (home-season share, regressed): HR 124, 1B 104, 2B 99, 3B 130, K 100, BB 89 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.963.

Result: wOBA .383 → .273; ISO .237 → .154; BABIP .326 → .250. 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 AAAReno Aces · 378 PAwOBA .362 → .265 (−97)K% 22.0% → 29.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.96%	÷0.956	×1.290	—	—	29.64%
BB% (unintentional) /PA	10.58%	÷1.042	×0.710	—	×0.952	6.86%
HBP% /PA	0.00%	—	×0.980	—	×0.952	0.00%
Singles /BIP	24.00%	÷0.989	×0.900	×0.994	×0.952	20.67%
Doubles /BIP	6.00%	÷1.130	×0.810	×0.994	×0.952	4.07%
Triples /BIP	0.00%	÷0.900	×0.810	×0.994	×0.952	0.00%
Home runs /BIP	7.20%	÷1.021	×0.780	—	×0.952	5.24%

Factors used: league row PCL. Park (home-season share, regressed): HR 104, 1B 98, 2B 126, 3B 80, K 91, BB 108 — applied at half strength. Age: age 32 vs a level average of 27.2 → −4.8% on BB/HBP/hit rates (4.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.994.

Result: wOBA .362 → .265; ISO .207 → .143; BABIP .322 → .260. 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 AAAColorado Springs Sky Sox · 495 PAwOBA .389 → .285 (−105)K% 21.2% → 29.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.21%	÷0.925	×1.290	—	—	29.59%
BB% (unintentional) /PA	11.31%	÷0.972	×0.710	—	×0.962	7.95%
HBP% /PA	0.00%	—	×0.980	—	×0.962	0.00%
Singles /BIP	22.84%	÷1.016	×0.900	×0.962	×0.962	18.72%
Doubles /BIP	9.26%	÷0.992	×0.810	×0.962	×0.962	7.00%
Triples /BIP	0.31%	÷1.150	×0.810	×0.962	×0.962	0.20%
Home runs /BIP	7.10%	÷1.029	×0.780	—	×0.962	5.18%

Factors used: league row PCL. Park (home-season share, regressed): HR 106, 1B 103, 2B 98, 3B 130, K 85, BB 94 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.962.

Result: wOBA .389 → .285; ISO .235 → .165; BABIP .340 → .266. 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 AAALas Vegas 51s · 528 PAwOBA .350 → .271 (−79)K% 16.3% → 21.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.29%	÷0.959	×1.290	—	—	21.92%
BB% (unintentional) /PA	8.52%	÷0.988	×0.710	—	×0.972	5.95%
HBP% /PA	0.00%	—	×0.980	—	×0.972	0.00%
Singles /BIP	19.58%	÷0.985	×0.900	×0.985	×0.972	17.13%
Doubles /BIP	7.57%	÷1.077	×0.810	×0.985	×0.972	5.45%
Triples /BIP	0.78%	÷1.150	×0.810	×0.985	×0.972	0.53%
Home runs /BIP	5.48%	÷1.024	×0.780	—	×0.972	4.06%

Factors used: league row PCL. Park (home-season share, regressed): HR 105, 1B 97, 2B 115, 3B 130, K 92, BB 98 — applied at half strength. Age: age 30 vs a level average of 27.2 → −2.8% on BB/HBP/hit rates (2.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.985.

Result: wOBA .350 → .271; ISO .209 → .152; BABIP .288 → .234. 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 AABinghamton Mets · 482 PAwOBA .405 → .351 (−54)K% 19.5% → 23.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.50%	÷1.000	×1.220	—	—	23.79%
BB% (unintentional) /PA	6.02%	÷1.000	×0.700	—	×0.998	4.20%
HBP% /PA	1.45%	—	×0.850	—	×0.998	1.23%
Singles /BIP	22.12%	÷1.000	×0.970	×1.005	×0.998	21.52%
Doubles /BIP	10.91%	÷1.000	×0.860	×1.005	×0.998	9.41%
Triples /BIP	0.59%	÷1.000	×0.950	×1.005	×0.998	0.56%
Home runs /BIP	7.37%	÷1.000	×0.780	—	×0.998	5.74%

Factors used: league row EL. 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 24.8 → −0.2% on BB/HBP/hit rates (0.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.005.

Result: wOBA .405 → .351; ISO .268 → .219; BABIP .356 → .328. 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 — .