Matthew den Dekker

PosLF

B/TL/L

Born1987-08-10

Age (2027)39

No MLB projection yet. Career stats below are historical.

Overview

AAALAST SEASON 2018

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2016	28	AAASyracuse Chie…	421	.207/.294/.315	8	20	31	—	.162/.222/.242
2016	28	MLBWSH	39	.176/.282/.294	1	1	68	0.2
2017	29	AAADET	288	.250/.324/.441	8	10	68	—	.207/.257/.353
2018	30	AAALas Vegas 51s	339	.278/.322/.505	14	8	68	—	.218/.251/.383
2018	30	MLBNYM	21	.000/.100/.000	0	0	-69	-0.5
2019	31	No MLB games played
2020	32	No MLB games played
2021	33	No MLB games played
2022	34	No MLB games played
2023	35	No MLB games played
2024	36	No MLB games played
2025	37	No MLB games played
2026	38	No MLB games played

Last 3 seasons WAR -0.3

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)
2010	22	A	Savannah Sand Gnats	—	114	104	36	13	0	0	9	28	1	3	0	346	404	471	875	125	474	25	8	391	92	—	—	—	—	—	—
2010	22	ROK	GCL Mets	—	21	18	5	2	0	0	2	5	0	0	0	278	350	389	739	111	385	24	10	318	32	—	—	—	—	—	—
2011	23	AA	Binghamton Mets	—	314	272	64	13	3	11	27	91	5	12	5	235	316	426	742	191	305	29	9	320	68	—	—	—	—	—	—
2011	23	A+	St. Lucie Mets	—	302	267	79	19	8	6	24	65	5	12	5	296	365	494	859	199	369	22	8	370	80	—	—	—	—	—	—
2012	24	AAA	Buffalo Bisons	—	317	295	65	10	4	9	14	90	2	11	2	220	260	373	633	153	279	28	4	275	51	—	—	—	—	—	—
2012	24	AA	Binghamton Mets	—	268	238	81	21	4	8	20	64	5	10	7	340	403	563	966	223	429	24	7	415	123	—	—	—	—	—	—
2013	25	MLB	New York Mets	—	63	58	12	1	0	1	4	23	1	4	1	207	270	276	546	69	324	37	6	253	61	-3	+0	+1	+1	+1	0.1
2013	25	AAA	Las Vegas 51s	—	202	179	53	8	4	6	20	46	1	8	1	296	370	486	856	190	364	23	10	374	84	—	—	—	—	—	—
2013	25	A+	St. Lucie Mets	—	62	58	16	2	0	0	3	6	0	1	0	276	311	310	622	34	302	10	5	280	47	—	—	—	—	—	—
2014	26	MLB	New York Mets	—	174	152	38	11	0	0	21	34	1	7	4	250	345	322	667	72	322	20	12	310	102	+0	-0	+1	-6	+4	-0.1
2014	26	AAA	Las Vegas 51s	—	385	335	112	31	7	8	40	65	3	9	5	334	409	540	949	206	392	17	10	409	112	—	—	—	—	—	—
2015	27	MLB	Washington Nationals	—	110	99	25	6	1	5	9	20	0	0	1	253	315	485	800	232	270	18	8	343	120	+3	-0	-1	-4	+2	-0.1
2015	27	AAA	Syracuse Chiefs	—	299	269	67	12	2	8	24	63	4	8	1	249	319	398	717	149	298	21	8	320	59	—	—	—	—	—	—
2016	28	MLB	Washington Nationals	—	39	34	6	1	0	1	4	10	1	1	0	176	282	294	576	118	217	26	10	270	68	-1	+0	+0	+2	+1	0.2
2016	28	AAA	Syracuse Chiefs	—	421	372	77	14	1	8	40	110	6	20	5	207	294	315	609	108	268	26	10	279	31	—	—	—	—	—	—
2017	29	AAA	Toledo Mud Hens	—	288	256	64	17	4	8	27	70	1	10	6	250	324	441	765	191	311	24	9	334	68	—	—	—	—	—	—
2018	30	MLB	New York Mets	—	21	18	0	0	0	0	2	9	0	0	0		100		100			43	10	66	-69	-4	+0	-2	+1	+0	-0.5
2018	30	AAA	Las Vegas 51s	—	339	313	87	19	5	14	21	85	0	8	3	278	322	505	827	227	336	25	6	356	68	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	407	361	81	19	1	7	40	96	3	12	6	224	307	341	648	116	286	24	10	294	85	-7	+0	-1	-6	+9	-0.6
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2010	22	A MLE	Savannah Sand Gnats	—	114	108	31	10	0	0	5	38	1	3	0	287	325	380	704	93	437	33	4	304	92	—	—	—	—	—	—
2010	22	ROK MLE	GCL Mets	—	21	19	3	1	0	0	1	7	0	0	0	158	200	211	411	53	289	33	5	216	32	—	—	—	—	—	—
2011	23	AA MLE	Binghamton Mets	—	314	279	59	12	3	8	20	111	5	12	5	211	276	362	638	151	289	35	6	269	68	—	—	—	—	—	—
2011	23	A+ MLE	St. Lucie Mets	—	302	274	63	16	5	4	17	98	5	12	5	230	287	369	656	139	330	32	6	286	80	—	—	—	—	—	—
2012	24	AAA MLE	Buffalo Bisons	—	317	300	60	9	4	8	9	109	2	11	2	200	228	337	565	137	266	34	3	243	51	—	—	—	—	—	—
2012	24	AA MLE	Binghamton Mets	—	268	244	72	18	3	7	14	79	5	10	7	295	346	480	826	184	388	29	5	350	123	—	—	—	—	—	—
2013	25	MLB MLE	New York Mets	—	63	58	12	1	0	1	4	23	1	4	1	207	270	276	546	69	324	37	6	258	61	-3	+0	+1	+1	+1	0.1
2013	25	AAA MLE	Las Vegas 51s	—	202	187	44	6	3	4	12	62	1	8	1	235	285	364	649	128	325	31	6	292	84	—	—	—	—	—	—
2013	25	A+ MLE	St. Lucie Mets	—	62	59	14	2	0	0	2	9	0	1	0	237	262	271	533	34	267	15	3	238	47	—	—	—	—	—	—
2014	26	MLB MLE	New York Mets	—	174	152	40	12	0	0	21	34	1	7	4	263	356	342	698	79	322	20	12	319	102	+0	-0	+1	-6	+4	-0.1
2014	26	AAA MLE	Las Vegas 51s	—	385	351	98	24	6	7	25	89	3	9	5	279	332	442	774	162	347	23	6	334	112	—	—	—	—	—	—
2015	27	MLB MLE	Washington Nationals	—	110	99	25	6	1	5	9	20	0	0	1	253	315	485	800	232	270	18	8	345	120	+3	-0	-1	-4	+2	-0.1
2015	27	AAA MLE	Syracuse Chiefs	—	299	277	58	9	2	6	17	73	4	8	1	209	265	321	586	112	260	24	6	256	59	—	—	—	—	—	—
2016	28	MLB MLE	Washington Nationals	—	39	34	6	1	0	1	4	10	1	1	0	176	282	294	576	118	217	26	10	269	68	-1	+0	+0	+2	+1	0.2
2016	28	AAA MLE	Syracuse Chiefs	—	421	388	63	11	1	6	24	139	6	20	5	162	222	242	465	80	232	33	6	214	31	—	—	—	—	—	—
2017	29	AAA MLE	Toledo Mud Hens	—	288	266	55	15	3	6	17	84	1	10	6	207	257	353	610	147	270	29	6	268	68	—	—	—	—	—	—
2018	30	MLB MLE	New York Mets	—	21	18	0	0	0	0	2	9	0	0	0		100		100			43	10	66	-69	-4	+0	-2	+1	+0	-0.5
2018	30	AAA MLE	Las Vegas 51s	—	339	321	70	15	4	10	14	111	0	8	3	218	251	383	634	165	289	33	4	268	68	—	—	—	—	—	—
2010	22	A MLE	2 teams	—	135	126	34	11	0	0	7	45	1	3	0	270	313	357	671	87	420	33	5	290	83	—	—	—	—	—	—
2010	22	A RAW	2 teams	—	135	122	41	15	0	0	11	33	1	3	0	336	396	459	855	123	461	24	8	379	83	—	—	—	—	—	—
2011	23	AA MLE	2 teams	—	616	552	122	28	8	12	38	209	10	24	10	221	283	366	649	145	326	34	6	277	74	—	—	—	—	—	—
2011	23	AA RAW	2 teams	—	616	539	143	32	11	17	51	156	10	24	10	265	340	460	800	195	339	25	8	345	74	—	—	—	—	—	—
2012	24	AAA MLE	2 teams	—	585	544	132	27	7	15	23	188	7	21	9	243	282	401	683	158	334	32	4	292	84	—	—	—	—	—	—
2012	24	AAA RAW	2 teams	—	585	533	146	31	8	17	34	154	7	21	9	274	326	458	784	184	348	26	6	339	84	—	—	—	—	—	—
2013	25	AAA MLE	3 teams	—	327	303	70	9	3	5	19	94	2	13	2	231	281	330	611	99	314	29	6	275	72	—	—	—	—	—	—
2013	25	AAA RAW	3 teams	—	327	295	81	11	4	7	27	75	2	13	2	275	340	410	750	136	343	23	8	333	72	—	—	—	—	—	—
2014	26	AAA MLE	2 teams	—	559	503	138	36	6	7	46	123	4	16	9	274	340	412	751	137	348	22	8	329	109	—	—	—	—	—	—
2014	26	AAA RAW	2 teams	—	559	487	150	42	7	8	61	99	4	16	9	308	389	472	861	164	371	18	11	378	109	—	—	—	—	—	—
2015	27	AAA MLE	2 teams	—	409	376	83	15	3	11	26	93	4	8	2	221	278	364	643	144	265	23	6	280	76	—	—	—	—	—	—
2015	27	AAA RAW	2 teams	—	409	368	92	18	3	13	33	83	4	8	2	250	318	421	739	171	290	20	8	326	76	—	—	—	—	—	—
2016	28	AAA MLE	2 teams	—	460	422	69	12	1	7	28	149	7	21	5	164	228	246	474	83	230	32	6	219	34	—	—	—	—	—	—
2016	28	AAA RAW	2 teams	—	460	406	83	15	1	9	44	120	7	21	5	204	293	313	606	108	264	26	10	278	34	—	—	—	—	—	—
2017	29	AAA MLE	Toledo Mud Hens	—	288	266	55	15	3	6	17	84	1	10	6	207	257	353	610	147	275	29	6	268	68	—	—	—	—	—	—
2017	29	AAA RAW	Toledo Mud Hens	—	288	256	64	17	4	8	27	70	1	10	6	250	324	441	765	191	311	24	9	334	68	—	—	—	—	—	—
2018	30	AAA MLE	2 teams	—	360	339	70	15	4	10	16	120	0	8	3	206	242	363	605	156	282	33	4	256	60	—	—	—	—	—	—
2018	30	AAA RAW	2 teams	—	360	331	87	19	5	14	23	94	0	8	3	263	310	477	787	215	322	26	6	339	60	—	—	—	—	—	—
2010	22	A MLE	2 teams	—	135	126	34	11	0	0	7	45	1	3	0	270	313	357	671	87	414	33	5	290	83	—	—	—	—	—	—
2011	23	AA MLE	2 teams	—	616	563	122	28	8	12	38	209	10	24	10	217	283	359	642	142	309	34	6	277	74	—	—	—	—	—	—
2012	24	AAA MLE	2 teams	—	585	550	132	27	7	15	23	188	7	21	9	240	282	396	679	156	322	32	4	292	84	—	—	—	—	—	—
2013	25	AAA MLE	3 teams	—	327	303	70	9	3	5	19	94	2	13	2	231	281	330	611	99	314	29	6	275	72	—	—	—	—	—	—
2014	26	AAA MLE	2 teams	—	559	504	138	36	6	7	46	123	4	16	9	274	340	411	751	137	339	22	8	329	109	—	—	—	—	—	—
2015	27	AAA MLE	2 teams	—	409	376	83	15	3	11	26	93	4	8	2	221	278	364	643	144	263	23	6	280	76	—	—	—	—	—	—
2016	28	AAA MLE	2 teams	—	460	422	69	12	1	7	28	149	7	21	5	164	228	246	474	83	231	32	6	219	34	—	—	—	—	—	—
2017	29	AAA MLE	Toledo Mud Hens	—	288	268	55	15	3	6	17	84	1	10	6	205	257	351	608	146	270	29	6	268	68	—	—	—	—	—	—
2018	30	AAA MLE	2 teams	—	360	341	70	15	4	10	16	120	0	8	3	205	242	361	603	155	272	33	4	256	60	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	407	361	81	19	1	7	40	96	3	12	6	224	307	341	648	116	286	24	10	294	74	-7	+0	-1	-6	+9	-0.6
/ 162G	—	A+C		—	650	577	129	30	2	11	64	153	5	19	10	224	307	340	647	116	284	24	10	294	74	-12	+0	-2	-10	+14	-0.9
Career	—	MLE		—	3739	3431	773	168	35	73	220	1105	36	124	46	225	279	358	638	133	307	30	6	278	74	-7	+0	-1	-6	+9	-0.6
/ 162G	—	MLE		—	650	596	134	29	6	13	38	192	6	22	8	225	278	359	637	134	306	30	6	278	74	-12	+0	-2	-10	+14	-0.9

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 AAALas Vegas 51s · 339 PAwOBA .349 → .268 (−81)K% 25.1% → 32.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.07%	÷0.986	×1.290	—	—	32.81%
BB% (unintentional) /PA	6.19%	÷1.039	×0.710	—	×0.962	4.07%
HBP% /PA	0.00%	—	×0.980	—	×0.962	0.00%
Singles /BIP	21.49%	÷0.992	×0.900	×1.013	×0.962	19.00%
Doubles /BIP	8.33%	÷0.918	×0.810	×1.013	×0.962	7.16%
Triples /BIP	2.19%	÷0.959	×0.810	×1.013	×0.962	1.81%
Home runs /BIP	6.14%	÷1.009	×0.780	—	×0.962	4.57%

Factors used: league row PCL. Park (home-season share, regressed): HR 102, 1B 98, 2B 84, 3B 92, K 97, BB 108 — 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 ×1.013.

Result: wOBA .349 → .268; ISO .227 → .167; BABIP .336 → .289. 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 AAAToledo Mud Hens · 288 PAwOBA .325 → .268 (−57)K% 24.3% → 29.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.31%	÷1.004	×1.200	—	—	29.05%
BB% (unintentional) /PA	8.68%	÷0.996	×0.690	—	×0.972	5.85%
HBP% /PA	0.35%	—	×0.940	—	×0.972	0.32%
Singles /BIP	18.82%	÷1.054	×0.930	×1.017	×0.972	16.41%
Doubles /BIP	9.14%	÷0.916	×0.830	×1.017	×0.972	8.18%
Triples /BIP	2.15%	÷1.150	×0.970	×1.017	×0.972	1.79%
Home runs /BIP	4.30%	÷1.049	×0.840	—	×0.972	3.35%

Factors used: league row IL. Park (home-season share, regressed): HR 110, 1B 111, 2B 83, 3B 130, K 101, BB 99 — 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 ×1.017.

Result: wOBA .325 → .268; ISO .191 → .159; BABIP .311 → .270. 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 AAASyracuse Chiefs · 421 PAwOBA .274 → .214 (−60)K% 26.1% → 33.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	26.13%	÷0.949	×1.200	—	—	33.03%
BB% (unintentional) /PA	9.50%	÷1.110	×0.690	—	×0.982	5.80%
HBP% /PA	1.43%	—	×0.940	—	×0.982	1.32%
Singles /BIP	20.61%	÷1.048	×0.930	×0.999	×0.982	17.95%
Doubles /BIP	5.34%	÷0.959	×0.830	×0.999	×0.982	4.54%
Triples /BIP	0.38%	÷0.900	×0.970	×0.999	×0.982	0.40%
Home runs /BIP	3.05%	÷0.978	×0.840	—	×0.982	2.58%

Factors used: league row IL. Park (home-season share, regressed): HR 96, 1B 110, 2B 92, 3B 80, K 90, BB 122 — applied at half strength. Age: age 29 vs a level average of 27.2 → −1.8% on BB/HBP/hit rates (1.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.999.

Result: wOBA .274 → .214; ISO .108 → .089; BABIP .268 → .232. 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 AAASyracuse Chiefs · 299 PAwOBA .310 → .256 (−55)K% 21.1% → 24.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.07%	÷1.043	×1.200	—	—	24.25%
BB% (unintentional) /PA	7.69%	÷0.938	×0.690	—	×0.992	5.62%
HBP% /PA	1.34%	—	×0.940	—	×0.992	1.25%
Singles /BIP	21.84%	÷1.010	×0.930	×0.999	×0.992	19.93%
Doubles /BIP	5.83%	÷1.088	×0.830	×0.999	×0.992	4.40%
Triples /BIP	0.97%	÷0.947	×0.970	×0.999	×0.992	0.99%
Home runs /BIP	3.88%	÷1.183	×0.840	—	×0.992	2.73%

Factors used: league row IL. Park (home-season share, regressed): HR 137, 1B 102, 2B 118, 3B 89, K 109, BB 88 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.999.

Result: wOBA .310 → .256; ISO .149 → .112; BABIP .298 → .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).

2014 AAALas Vegas 51s · 385 PAwOBA .400 → .334 (−66)K% 16.9% → 23.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.88%	÷0.945	×1.290	—	—	23.04%
BB% (unintentional) /PA	9.87%	÷1.060	×0.710	—	×1.003	6.63%
HBP% /PA	0.78%	—	×0.980	—	×1.003	0.77%
Singles /BIP	24.44%	÷0.991	×0.900	×1.023	×1.003	22.78%
Doubles /BIP	11.48%	÷1.057	×0.810	×1.023	×1.003	9.03%
Triples /BIP	2.59%	÷0.900	×0.810	×1.023	×1.003	2.39%
Home runs /BIP	2.96%	÷0.925	×0.780	—	×1.003	2.51%

Factors used: league row PCL. Park (home-season share, regressed): HR 85, 1B 98, 2B 111, 3B 80, K 89, BB 112 — 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 ×1.023.

Result: wOBA .400 → .334; ISO .206 → .171; BABIP .392 → .347. 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 AAALas Vegas 51s · 202 PAwOBA .363 → .292 (−71)K% 22.8% → 30.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.77%	÷0.952	×1.290	—	—	30.87%
BB% (unintentional) /PA	8.42%	÷0.994	×0.710	—	×1.018	6.12%
HBP% /PA	0.50%	—	×0.980	—	×1.018	0.49%
Singles /BIP	26.32%	÷1.018	×0.900	×1.042	×1.018	24.68%
Doubles /BIP	6.02%	÷1.023	×0.810	×1.042	×1.018	5.05%
Triples /BIP	3.01%	÷1.150	×0.810	×1.042	×1.018	2.25%
Home runs /BIP	4.51%	÷1.078	×0.780	—	×1.018	3.32%

Factors used: league row PCL. Park (home-season share, regressed): HR 116, 1B 104, 2B 105, 3B 130, K 90, 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 ×1.042.

Result: wOBA .363 → .292; ISO .190 → .138; BABIP .364 → .325. 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 A+St. Lucie Mets · 62 PAwOBA .277 → .238 (−39)K% 9.7% → 14.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	9.68%	÷0.979	×1.420	—	—	14.04%
BB% (unintentional) /PA	4.84%	÷0.949	×0.750	—	×0.968	3.70%
HBP% /PA	0.00%	—	×0.930	—	×0.968	0.00%
Singles /BIP	26.92%	÷1.052	×0.920	×1.028	×0.968	23.43%
Doubles /BIP	3.85%	÷0.959	×0.960	×1.028	×0.968	3.83%
Triples /BIP	0.00%	÷1.114	×0.810	×1.028	×0.968	0.00%
Home runs /BIP	0.00%	÷1.370	×0.880	—	×0.968	0.00%

Factors used: league row FSL. Park (home-season share, regressed): HR 174, 1B 110, 2B 92, 3B 123, K 96, BB 90 — applied at half strength. Age: age 26 vs a level average of 22.8 → −3.2% on BB/HBP/hit rates (3.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.028.

Result: wOBA .277 → .238; ISO .034 → .034; BABIP .302 → .267. 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 AAABuffalo Bisons · 317 PAwOBA .271 → .243 (−28)K% 28.4% → 34.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	28.39%	÷0.989	×1.200	—	—	34.45%
BB% (unintentional) /PA	4.10%	÷1.002	×0.690	—	×1.033	2.92%
HBP% /PA	0.63%	—	×0.940	—	×1.033	0.61%
Singles /BIP	20.49%	÷0.992	×0.930	×1.002	×1.033	19.88%
Doubles /BIP	4.88%	÷0.963	×0.830	×1.002	×1.033	4.35%
Triples /BIP	1.95%	÷1.002	×0.970	×1.002	×1.033	1.96%
Home runs /BIP	4.39%	÷0.901	×0.840	—	×1.033	4.23%

Factors used: league row IL. Park (home-season share, regressed): HR 80, 1B 98, 2B 93, 3B 100, K 98, BB 100 — 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 ×1.002.

Result: wOBA .271 → .243; ISO .153 → .140; BABIP .279 → .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).