Jefry Marte

Pos1B

B/TR/R

Born1991-06-21

Age (2027)36

No MLB projection yet. Career stats below are historical.

Overview

MLBLAST SEASON 2018

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2016	25	AAA/INTL2 orgs	246	.284/.379/.422	3	3	91	—	.208/.285/.310
2016	25	MLBLAA	284	.252/.313/.481	15	2	120	-0.1
2017	26	AAA/INTL2 orgs	302	.280/.357/.455	11	6	98	—	.221/.275/.374
2017	26	MLBLAA	145	.173/.271/.307	4	1	66	-1.3
2018	27	A+/INTL2 orgs	80	.194/.275/.208	0	0	36	—	.133/.188/.133
2018	27	MLBLAA	209	.216/.273/.371	7	1	81	-1.3
2019	28	No MLB games played
2020	29	No MLB games played
2021	30	No MLB games played
2022	31	No MLB games played
2023	32	No MLB games played
2024	33	No MLB games played
2025	34	No MLB games played
2026	35	No MLB games played

Last 3 seasons WAR -2.7

Contract

No contract data on file.

Skills · percentileStatcast 2016-2018

xwOBA39

Avg EV35

Speed32

Barrel%30

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)
2008	17	ROK	GCL Mets	—	177	154	50	14	3	4	13	30	7	2	0	325	402	532	935	208	377	17	7	405	95	—	—	—	—	—	—
2009	18	A	Savannah Sand Gnats	—	526	485	113	21	6	6	25	117	8	5	5	233	282	338	620	105	291	22	5	275	48	—	—	—	—	—	—
2010	19	A	Savannah Sand Gnats	—	366	329	87	19	4	6	30	65	5	4	5	264	335	401	736	137	312	18	8	329	74	—	—	—	—	—	—
2011	20	A+	St. Lucie Mets	—	538	483	120	22	2	7	41	86	7	14	2	248	316	346	662	97	285	16	8	298	60	—	—	—	—	—	—
2011	20	INTL	Peoria Javelinas	—	94	78	26	4	0	4	12	12	3	1	0	333	441	538	979	205	349	13	13	429	176	—	—	—	—	—	—
2012	21	AA	Binghamton Mets	—	513	462	116	20	3	9	43	76	6	9	5	251	323	366	689	115	282	15	8	311	78	—	—	—	—	—	—
2012	21	INTL	Toros del Este	—	16	15	4	0	0	1	1	4	0	0	0	267	312	467	779	200	300	25	6	343	118	—	—	—	—	—	—
2013	22	AA	Midland RockHounds	—	278	245	68	17	1	2	25	49	4	8	1	278	354	380	734	102	333	18	9	329	76	—	—	—	—	—	—
2013	22	ROK	AZL Athletics	—	15	12	2	0	0	0	3	5	0	0	0	167	333	167	500		286	33	20	260	-3	—	—	—	—	—	—
2013	22	INTL	Toros del Este	—	16	16	1	0	0	0	0	4	0	0	0	62	62	62	125		83	25	0	57	-76	—	—	—	—	—	—
2014	23	AA	Midland RockHounds	—	460	405	105	17	0	10	45	70	3	9	3	259	338	375	713	116	287	15	10	319	74	—	—	—	—	—	—
2014	23	INTL	Toros del Este	—	16	15	2	0	0	0	1	6	0	0	0	133	188	133	321		222	38	6	157	-8	—	—	—	—	—	—
2015	24	MLB	Detroit Tigers	—	90	80	17	4	0	4	8	22	0	0	0	212	284	412	697	200	241	24	9	302	95	-1	+0	-3	-9	+2	-1.2
2015	24	AAA	Toledo Mud Hens	—	399	357	98	25	3	15	31	64	7	8	5	275	344	487	832	213	294	16	8	363	99	—	—	—	—	—	—
2015	24	INTL	Toros del Este	—	34	27	6	2	0	0	7	6	0	0	0	222	382	296	679	74	286	18	21	326	107	—	—	—	—	—	—
2016	25	MLB	Los Angeles Angels	—	284	258	65	14	0	15	18	59	5	2	2	252	313	481	794	229	267	21	6	345	120	+7	-0	-4	-9	+6	-0.1
2016	25	AAA	Salt Lake Bees	—	189	162	43	12	1	3	22	35	2	3	3	265	360	407	768	142	315	19	12	341	70	—	—	—	—	—	—
2016	25	INTL	Toros del Este	—	57	49	17	6	0	0	8	6	0	0	0	347	439	469	908	122	395	11	14	408	162	—	—	—	—	—	—
2017	26	MLB	Los Angeles Angels	—	145	127	22	5	0	4	13	34	4	1	0	173	271	307	578	134	200	23	9	266	66	-6	+0	-2	-8	+3	-1.3
2017	26	AAA	Salt Lake Bees	—	205	185	49	10	0	9	17	32	2	6	1	265	333	465	798	200	276	16	8	351	77	—	—	—	—	—	—
2017	26	INTL	Toros del Este	—	97	83	26	4	0	2	12	18	1	0	0	313	406	434	840	120	375	19	12	376	141	—	—	—	—	—	—
2018	27	MLB	Los Angeles Angels	—	209	194	42	7	1	7	13	41	2	1	1	216	273	371	644	155	240	20	6	288	81	-5	-0	-7	-5	+5	-1.3
2018	27	A+	Inland Empire 66ers	—	16	14	2	0	0	0	2	6	0	0	0	143	250	143	393		250	38	12	200	-16	—	—	—	—	—	—
2018	27	INTL	Toros del Este	—	64	58	12	1	0	0	6	8	0	0	0	207	281	224	505	17	240	12	9	241	49	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	728	659	146	30	1	30	52	156	11	4	3	222	289	407	696	185	243	21	7	307	94	-5	-0	-17	-32	+16	-3.9
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2008	17	ROK MLE	GCL Mets	—	177	159	40	10	2	3	8	43	7	2	0	252	316	396	712	145	314	24	5	309	95	—	—	—	—	—	—
2009	18	A MLE	Savannah Sand Gnats	—	526	493	105	18	6	5	17	157	8	5	5	213	251	304	555	91	287	30	3	239	48	—	—	—	—	—	—
2010	19	A MLE	Savannah Sand Gnats	—	366	340	79	15	3	5	19	88	5	4	5	232	283	338	621	106	299	24	5	278	74	—	—	—	—	—	—
2011	20	A+ MLE	St. Lucie Mets	—	538	497	110	21	1	6	28	129	7	14	2	221	273	304	576	82	278	24	5	257	60	—	—	—	—	—	—
2012	21	AA MLE	Binghamton Mets	—	513	474	115	19	3	8	31	94	6	9	5	243	297	346	643	103	284	18	6	283	78	—	—	—	—	—	—
2013	22	AA MLE	Midland RockHounds	—	278	252	62	14	1	2	18	63	4	8	1	246	307	333	640	87	305	23	6	281	76	—	—	—	—	—	—
2013	22	ROK MLE	AZL Athletics	—	15	13	1	0	0	0	2	7	0	0	0	77	200	77	277		228	47	13	164	-3	—	—	—	—	—	—
2014	23	AA MLE	Midland RockHounds	—	460	420	101	14	0	9	30	89	3	9	3	240	296	338	634	98	275	19	7	278	74	—	—	—	—	—	—
2015	24	MLB MLE	Detroit Tigers	—	90	80	17	4	0	4	8	22	0	0	0	212	284	412	697	200	241	24	9	309	95	-1	+0	-3	-9	+2	-1.2
2015	24	AAA MLE	Toledo Mud Hens	—	399	367	91	20	3	15	21	77	7	8	5	248	301	441	743	193	266	19	5	314	99	—	—	—	—	—	—
2016	25	MLB MLE	Los Angeles Angels	—	284	258	66	15	0	15	18	59	5	2	2	256	317	488	805	233	267	21	6	346	120	+7	-0	-4	-9	+6	-0.1
2016	25	AAA MLE	Salt Lake Bees	—	189	168	35	9	1	2	16	47	2	3	3	208	285	310	594	101	268	25	8	271	70	—	—	—	—	—	—
2017	26	MLB MLE	Los Angeles Angels	—	145	127	22	5	0	4	13	34	4	1	0	173	271	307	578	134	200	23	9	266	66	-6	+0	-2	-8	+3	-1.3
2017	26	AAA MLE	Salt Lake Bees	—	205	190	42	8	0	7	12	41	2	6	1	221	275	374	648	153	241	20	6	282	77	—	—	—	—	—	—
2018	27	MLB MLE	Los Angeles Angels	—	209	194	42	7	1	7	13	41	2	1	1	216	273	371	644	155	240	20	6	288	81	-5	-0	-7	-5	+5	-1.3
2018	27	A+ MLE	Inland Empire 66ers	—	16	15	2	0	0	0	1	8	0	0	0	133	188	133	321		223	50	6	144	-16	—	—	—	—	—	—
2008	17	ROK MLE	GCL Mets	—	177	159	40	10	2	3	8	43	7	2	0	252	316	396	712	145	322	24	5	309	95	—	—	—	—	—	—
2008	17	ROK RAW	GCL Mets	—	177	154	50	14	3	4	13	30	7	2	0	325	402	532	935	208	377	17	7	405	95	—	—	—	—	—	—
2009	18	A MLE	Savannah Sand Gnats	—	526	493	105	18	6	5	17	157	8	5	5	213	251	304	555	91	297	30	3	239	48	—	—	—	—	—	—
2009	18	A RAW	Savannah Sand Gnats	—	526	485	113	21	6	6	25	117	8	5	5	233	282	338	620	105	291	22	5	275	48	—	—	—	—	—	—
2010	19	A MLE	Savannah Sand Gnats	—	366	340	79	15	3	5	19	88	5	4	5	232	283	338	621	106	297	24	5	278	74	—	—	—	—	—	—
2010	19	A RAW	Savannah Sand Gnats	—	366	329	87	19	4	6	30	65	5	4	5	264	335	401	736	137	312	18	8	329	74	—	—	—	—	—	—
2011	20	A+ MLE	2 teams	—	632	582	129	25	2	6	33	152	10	15	2	222	275	302	578	81	285	24	5	257	60	—	—	—	—	—	—
2011	20	A+ RAW	2 teams	—	632	561	146	26	2	11	53	98	10	15	2	260	334	373	707	112	294	16	8	318	60	—	—	—	—	—	—
2012	21	AA MLE	2 teams	—	529	489	119	20	3	8	32	97	6	9	5	243	298	346	644	102	288	18	6	283	78	—	—	—	—	—	—
2012	21	AA RAW	2 teams	—	529	477	120	20	3	10	44	80	6	9	5	252	323	369	692	117	283	15	8	312	78	—	—	—	—	—	—
2013	22	AA MLE	3 teams	—	309	280	66	14	1	2	21	74	4	8	1	236	298	314	613	79	308	24	7	275	72	—	—	—	—	—	—
2013	22	AA RAW	3 teams	—	309	273	71	17	1	2	28	58	4	8	1	260	338	352	689	92	318	19	9	311	72	—	—	—	—	—	—
2014	23	AA MLE	2 teams	—	476	435	104	15	0	9	31	92	3	9	3	239	294	336	630	97	279	19	7	278	74	—	—	—	—	—	—
2014	23	AA RAW	2 teams	—	476	420	107	17	0	10	46	76	3	9	3	255	333	367	699	112	285	16	10	314	74	—	—	—	—	—	—
2015	24	AAA MLE	3 teams	—	523	479	115	25	3	20	31	106	7	8	5	240	296	430	726	190	266	20	6	313	98	—	—	—	—	—	—
2015	24	AAA RAW	3 teams	—	523	464	121	31	3	19	46	92	7	8	5	261	337	463	800	203	286	18	9	350	98	—	—	—	—	—	—
2016	25	MLB MLE	3 teams	—	530	479	114	27	1	19	38	118	7	5	5	238	303	418	721	180	273	22	7	316	100	-0	-1	-4	-9	+11	-0.3
2016	25	MLB RAW	3 teams	—	530	469	125	32	1	18	48	100	7	5	5	267	344	454	798	188	300	19	9	350	100	-0	-1	-4	-9	+11	-0.3
2017	26	AAA MLE	3 teams	—	447	405	82	17	0	14	32	96	7	7	1	202	273	348	621	146	228	21	7	276	73	—	—	—	—	—	—
2017	26	AAA RAW	3 teams	—	447	395	97	19	0	15	42	84	7	7	1	246	329	408	736	162	274	19	9	329	73	—	—	—	—	—	—
2018	27	MLB MLE	3 teams	—	289	269	56	9	1	9	18	63	2	1	1	208	263	349	612	141	239	22	6	278	74	-9	-0	-7	-5	+6	-1.5
2018	27	MLB RAW	3 teams	—	289	266	56	8	1	7	21	55	2	1	1	211	273	327	600	117	240	19	7	273	74	-9	-0	-7	-5	+6	-1.5
2008	17	ROK MLE	GCL Mets	—	177	160	40	10	2	3	8	43	7	2	0	250	316	394	710	144	314	24	5	309	95	—	—	—	—	—	—
2009	18	A MLE	Savannah Sand Gnats	—	526	496	105	18	6	5	17	157	8	5	5	212	251	302	553	91	287	30	3	239	48	—	—	—	—	—	—
2010	19	A MLE	Savannah Sand Gnats	—	366	339	79	15	3	5	19	88	5	4	5	233	283	339	622	106	299	24	5	278	74	—	—	—	—	—	—
2011	20	A+ MLE	2 teams	—	632	584	129	25	2	6	33	152	10	15	2	221	275	301	577	80	278	24	5	257	60	—	—	—	—	—	—
2012	21	AA MLE	2 teams	—	529	486	119	20	3	8	32	97	6	9	5	245	298	348	646	103	284	18	6	283	78	—	—	—	—	—	—
2013	22	AA MLE	3 teams	—	309	281	66	14	1	2	21	74	4	8	1	235	298	313	612	78	301	24	7	275	72	—	—	—	—	—	—
2014	23	AA MLE	2 teams	—	476	439	104	15	0	9	31	92	3	9	3	237	294	333	627	96	275	19	7	278	74	—	—	—	—	—	—
2015	24	AAA MLE	3 teams	—	523	480	115	25	3	20	31	106	7	8	5	240	296	429	725	190	261	20	6	313	98	—	—	—	—	—	—
2016	25	MLB MLE	3 teams	—	530	480	114	27	1	19	38	118	7	5	5	237	303	417	720	179	268	22	7	316	100	—	—	—	—	—	—
2017	26	AAA MLE	3 teams	—	447	405	82	17	0	14	32	96	7	7	1	202	273	348	621	146	224	21	7	276	73	—	—	—	—	—	—
2018	27	MLB MLE	3 teams	—	289	267	56	9	1	9	18	63	2	1	1	210	263	352	615	142	239	22	6	278	74	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	728	659	146	30	1	30	52	156	11	4	3	222	289	407	696	185	243	21	7	307	76	-5	-0	-17	-32	+16	-3.9
/ 162G	—	A+C		—	650	588	131	27	1	27	46	139	10	4	3	223	290	410	700	187	244	21	7	307	76	-4	-0	-15	-29	+14	-3.5
Career	—	MLE		—	4804	4410	1009	195	22	100	280	1086	66	73	33	229	285	351	636	122	278	23	6	280	76	-5	-0	-17	-32	+16	-3.9
/ 162G	—	MLE		—	650	597	137	26	3	14	38	147	9	10	4	229	286	353	640	124	278	23	6	280	76	-4	-0	-15	-29	+14	-3.5

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 A+Inland Empire 66ers · 16 PAwOBA .196 → .144 (−52)K% 37.5% → 48.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	37.50%	÷1.044	×1.340	—	—	48.15%
BB% (unintentional) /PA	12.50%	÷0.986	×0.710	—	×0.958	8.63%
HBP% /PA	0.00%	—	×0.790	—	×0.958	0.00%
Singles /BIP	25.00%	÷0.977	×0.910	—	×0.958	22.32%
Doubles /BIP	0.00%	÷1.087	×0.820	—	×0.958	0.00%
Triples /BIP	0.00%	÷0.978	×0.760	—	×0.958	0.00%
Home runs /BIP	0.00%	÷0.978	×0.920	—	×0.958	0.00%

Factors used: league row CAL. Park (home-season share, regressed): HR 96, 1B 95, 2B 117, 3B 96, K 109, BB 97 — applied at half strength. Age: age 27 vs a level average of 22.8 → −4.2% on BB/HBP/hit rates (4.2 yr older than average).

Result: wOBA .196 → .144; ISO .000 → .000; BABIP .250 → .223. 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 AAASalt Lake Bees · 205 PAwOBA .343 → .282 (−62)K% 15.6% → 19.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.61%	÷1.010	×1.290	—	—	19.93%
BB% (unintentional) /PA	8.29%	÷0.993	×0.710	—	×1.018	6.04%
HBP% /PA	0.98%	—	×0.980	—	×1.018	0.97%
Singles /BIP	19.61%	÷0.986	×0.900	×0.980	×1.018	17.85%
Doubles /BIP	6.54%	÷1.009	×0.810	×0.980	×1.018	5.24%
Triples /BIP	0.00%	÷1.093	×0.810	×0.980	×1.018	0.00%
Home runs /BIP	5.88%	÷0.989	×0.780	—	×1.018	4.72%

Factors used: league row PCL. Park (home-season share, regressed): HR 98, 1B 97, 2B 102, 3B 119, K 102, BB 99 — 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 ×0.980.

Result: wOBA .343 → .282; ISO .200 → .157; BABIP .276 → .241. 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 AAASalt Lake Bees · 189 PAwOBA .338 → .271 (−67)K% 18.5% → 24.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.52%	÷0.969	×1.290	—	—	24.66%
BB% (unintentional) /PA	11.64%	÷1.021	×0.710	—	×1.033	8.37%
HBP% /PA	1.06%	—	×0.980	—	×1.033	1.07%
Singles /BIP	21.26%	÷1.033	×0.900	×0.981	×1.033	18.77%
Doubles /BIP	9.45%	÷1.020	×0.810	×0.981	×1.033	7.61%
Triples /BIP	0.79%	÷1.137	×0.810	×0.981	×1.033	0.57%
Home runs /BIP	2.36%	÷1.035	×0.780	—	×1.033	1.84%

Factors used: league row PCL. Park (home-season share, regressed): HR 107, 1B 107, 2B 104, 3B 127, K 94, BB 104 — 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 ×0.981.

Result: wOBA .338 → .271; ISO .142 → .110; BABIP .315 → .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).

2015 AAAToledo Mud Hens · 399 PAwOBA .356 → .314 (−43)K% 16.0% → 19.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.04%	÷1.000	×1.200	—	—	19.25%
BB% (unintentional) /PA	7.77%	÷1.085	×0.690	—	×1.048	5.18%
HBP% /PA	1.75%	—	×0.940	—	×1.048	1.73%
Singles /BIP	18.77%	÷0.988	×0.930	×0.976	×1.048	18.06%
Doubles /BIP	8.53%	÷1.083	×0.830	×0.976	×1.048	6.69%
Triples /BIP	1.02%	÷1.150	×0.970	×0.976	×1.048	0.88%
Home runs /BIP	5.12%	÷0.911	×0.840	—	×1.048	4.95%

Factors used: league row IL. Park (home-season share, regressed): HR 82, 1B 98, 2B 117, 3B 130, K 100, BB 117 — 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 ×0.976.

Result: wOBA .356 → .314; ISO .213 → .192; BABIP .294 → .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).

2014 AAMidland RockHounds · 460 PAwOBA .315 → .278 (−37)K% 15.2% → 19.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.22%	÷0.957	×1.220	—	—	19.40%
BB% (unintentional) /PA	9.78%	÷1.078	×0.700	—	×1.027	6.53%
HBP% /PA	0.65%	—	×0.870	—	×1.027	0.58%
Singles /BIP	23.28%	÷0.982	×0.920	×1.025	×1.027	22.97%
Doubles /BIP	5.07%	÷1.049	×0.840	×1.025	×1.027	4.28%
Triples /BIP	0.00%	÷1.012	×0.940	×1.025	×1.027	0.00%
Home runs /BIP	2.99%	÷0.961	×0.800	—	×1.027	2.55%

Factors used: league row TL. Park (home-season share, regressed): HR 92, 1B 96, 2B 110, 3B 102, K 91, BB 116 — 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 ×1.025.

Result: wOBA .315 → .278; ISO .116 → .100; BABIP .287 → .275. 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 AAMidland RockHounds · 278 PAwOBA .324 → .281 (−43)K% 17.6% → 22.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.63%	÷0.942	×1.220	—	—	22.83%
BB% (unintentional) /PA	8.63%	÷0.978	×0.700	—	×1.042	6.44%
HBP% /PA	1.44%	—	×0.870	—	×1.042	1.30%
Singles /BIP	24.49%	÷1.052	×0.920	×1.045	×1.042	23.32%
Doubles /BIP	8.67%	÷1.124	×0.840	×1.045	×1.042	7.06%
Triples /BIP	0.51%	÷1.150	×0.940	×1.045	×1.042	0.45%
Home runs /BIP	1.02%	÷0.852	×0.800	—	×1.042	1.00%

Factors used: league row TL. Park (home-season share, regressed): HR 70, 1B 110, 2B 125, 3B 130, K 88, BB 96 — 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 ×1.045.

Result: wOBA .324 → .281; ISO .102 → .086; BABIP .333 → .305. 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 ROKAZL Athletics · 15 PAwOBA .255 → .164 (−92)K% 33.3% → 48.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	33.33%	÷1.000	×1.440	—	—	48.00%
BB% (unintentional) /PA	20.00%	÷1.000	×0.620	—	×0.975	12.09%
HBP% /PA	0.00%	—	×0.720	—	×0.975	0.00%
Singles /BIP	28.57%	÷1.000	×0.820	—	×0.975	22.84%
Doubles /BIP	0.00%	÷1.000	×0.720	—	×0.975	0.00%
Triples /BIP	0.00%	÷1.000	×0.720	—	×0.975	0.00%
Home runs /BIP	0.00%	÷1.000	×0.780	—	×0.975	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 22 vs a level average of 19.5 → −2.5% on BB/HBP/hit rates (2.5 yr older than average).

Result: wOBA .255 → .164; ISO .000 → .000; BABIP .286 → .228. 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 AABinghamton Mets · 513 PAwOBA .304 → .283 (−21)K% 14.8% → 18.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.81%	÷0.989	×1.220	—	—	18.27%
BB% (unintentional) /PA	8.19%	÷0.990	×0.700	—	×1.050	6.08%
HBP% /PA	1.17%	—	×0.850	—	×1.050	1.04%
Singles /BIP	21.76%	÷1.036	×0.970	×1.039	×1.050	22.22%
Doubles /BIP	5.18%	÷0.967	×0.860	×1.039	×1.050	5.03%
Triples /BIP	0.78%	÷1.093	×0.950	×1.039	×1.050	0.74%
Home runs /BIP	2.33%	÷0.932	×0.780	—	×1.050	2.05%

Factors used: league row EL. Park (home-season share, regressed): HR 86, 1B 107, 2B 93, 3B 119, K 98, BB 98 — 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 ×1.039.

Result: wOBA .304 → .283; ISO .115 → .105; BABIP .282 → .284. 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 — .