T.J. Rivera

Pos2B

B/TR/R

Born1988-10-27

Age (2027)38

No MLB projection yet. Career stats below are historical.

Overview

AAALAST SEASON 2021

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2019	30	AA/INTL2 orgs	205	.250/.318/.317	1	1	69	—	.200/.220/.250
2020	31	INTLIndios de May…	60	.302/.373/.509	2	0	145	—
2021	32	AAA/INTL2 orgs	388	.267/.331/.420	11	2	73	—	.224/.265/.336

Contract

No contract data on file.

Skills · percentileStatcast 2016-2017

xwOBA36

Speed33

Barrel%10

Avg EV10

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)
2011	22	ROK	Kingsport Mets	—	102	93	27	6	0	1	8	16	1	3	1	290	353	387	740	97	342	16	8	335	51	—	—	—	—	—	—
2012	23	A+	St. Lucie Mets	—	276	255	78	15	3	1	14	38	2	7	2	306	347	400	747	94	355	14	5	329	74	—	—	—	—	—	—
2012	23	A	Savannah Sand Gnats	—	296	261	87	14	1	8	26	33	3	4	3	333	400	487	887	153	354	11	9	387	114	—	—	—	—	—	—
2013	24	A+	St. Lucie Mets	—	559	502	145	23	1	2	34	73	13	6	2	289	350	351	700	62	333	13	6	315	67	—	—	—	—	—	—
2013	24	INTL	Indios de Mayaguez	—	15	13	4	0	0	1	1	1	0	0	0	308	357	538	896	231	273	7	7	366	134	—	—	—	—	—	—
2014	25	AA	Binghamton Mets	—	221	201	72	13	0	1	11	27	4	1	0	358	403	438	841	80	399	12	5	370	115	—	—	—	—	—	—
2014	25	A+	St. Lucie Mets	—	274	252	86	16	0	4	14	37	5	2	1	341	387	452	840	111	383	14	5	372	107	—	—	—	—	—	—
2014	25	INTL	Indios de Mayaguez	—	133	119	37	11	0	1	4	14	5	1	2	311	359	429	788	118	336	11	3	341	117	—	—	—	—	—	—
2015	26	AAA	Las Vegas 51s	—	196	183	56	17	1	2	7	25	4	0	0	306	345	443	788	137	346	13	4	347	80	—	—	—	—	—	—
2015	26	AA	Binghamton Mets	—	234	220	75	10	0	5	12	22	2	1	1	341	380	455	835	114	363	9	5	373	96	—	—	—	—	—	—
2015	26	INTL	Puerto Rico	—	116	105	32	6	0	3	11	9	0	0	0	305	371	448	818	143	312	8	9	366	134	—	—	—	—	—	—
2016	27	MLB	New York Mets	—	113	105	35	4	1	3	3	17	1	0	0	333	358	476	834	143	360	15	3	356	133	+4	+0	-1	+2	+2	0.8
2016	27	AAA	Las Vegas 51s	—	442	405	143	31	1	11	23	54	7	3	3	353	398	516	914	163	383	12	5	398	95	—	—	—	—	—	—
2017	28	MLB	New York Mets	—	231	214	62	13	1	5	9	32	5	1	0	290	333	430	763	140	318	14	4	336	120	+5	+0	+0	+1	+5	1.2
2017	28	AAA	Las Vegas 51s	—	22	21	6	1	0	1	1	3	0	0	0	286	318	476	794	190	294	14	5	349	59	—	—	—	—	—	—
2018	29	A+	St. Lucie Mets	—	19	19	4	1	0	0	0	3	0	0	0	211	211	263	474	53	250	16	0	210	-4	—	—	—	—	—	—
2019	30	AA	Harrisburg Senators	—	41	38	9	3	0	0	3	8	0	0	0	237	293	316	608	79	300	20	7	277	34	—	—	—	—	—	—
2019	30	INTL	Indios de Mayaguez	—	164	142	36	6	0	1	14	11	1	1	0	254	325	317	642	63	257	7	9	284	78	—	—	—	—	—	—
2020	31	INTL	Indios de Mayaguez	—	60	53	16	5	0	2	6	9	0	0	0	302	373	509	882	208	326	15	10	382	145	—	—	—	—	—	—
2021	32	AAA	Lehigh Valley IronPigs	—	311	279	75	17	0	9	18	58	5	1	1	269	325	427	751	158	301	19	6	325	63	—	—	—	—	—	—
2021	32	INTL	Puerto Rico	—	77	66	17	3	0	2	9	10	1	1	0	258	355	394	749	136	278	13	12	336	114	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	344	319	97	17	2	8	12	49	6	1	0	304	341	445	786	141	332	14	3	343	118	+7	+0	-1	+3	+7	1.7
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2011	22	ROK MLE	Kingsport Mets	—	102	96	21	4	0	1	5	23	1	3	1	219	265	292	556	73	278	23	5	243	51	—	—	—	—	—	—
2012	23	A+ MLE	St. Lucie Mets	—	276	260	70	14	2	1	9	58	2	7	2	269	299	350	649	81	331	21	3	278	74	—	—	—	—	—	—
2012	23	A MLE	Savannah Sand Gnats	—	296	272	83	13	1	7	15	43	3	4	3	305	348	438	786	132	327	15	5	337	114	—	—	—	—	—	—
2013	24	A+ MLE	St. Lucie Mets	—	559	510	128	23	1	1	26	106	13	6	2	251	304	306	610	55	302	19	5	267	67	—	—	—	—	—	—
2014	25	AA MLE	Binghamton Mets	—	221	205	70	11	0	1	7	32	4	1	0	341	375	410	785	68	374	14	3	338	115	—	—	—	—	—	—
2014	25	A+ MLE	St. Lucie Mets	—	274	258	79	17	0	3	8	53	5	2	1	306	339	407	746	101	364	19	3	326	107	—	—	—	—	—	—
2015	26	AAA MLE	Las Vegas 51s	—	196	185	48	13	1	1	5	33	4	0	0	259	294	357	651	97	311	17	3	287	80	—	—	—	—	—	—
2015	26	AA MLE	Binghamton Mets	—	234	224	66	8	0	3	8	28	2	1	1	295	325	371	695	76	327	12	3	310	96	—	—	—	—	—	—
2016	27	MLB MLE	New York Mets	—	113	105	36	4	1	3	3	17	1	0	0	343	367	486	853	143	360	15	3	365	133	+4	+0	-1	+2	+2	0.8
2016	27	AAA MLE	Las Vegas 51s	—	442	413	116	21	1	8	15	72	7	3	3	281	317	395	712	114	312	16	3	308	95	—	—	—	—	—	—
2017	28	MLB MLE	New York Mets	—	231	214	64	14	1	5	9	32	5	1	0	299	342	444	786	145	318	14	4	345	120	+5	+0	+0	+1	+5	1.2
2017	28	AAA MLE	Las Vegas 51s	—	22	21	5	1	0	1	1	4	0	0	0	238	273	429	701	190	251	18	5	256	59	—	—	—	—	—	—
2018	29	A+ MLE	St. Lucie Mets	—	19	19	3	1	0	0	0	4	0	0	0	158	158	211	368	53	217	21	0	163	-4	—	—	—	—	—	—
2019	30	AA MLE	Harrisburg Senators	—	41	40	8	2	0	0	1	10	0	0	0	200	220	250	470	50	266	24	2	219	34	—	—	—	—	—	—
2021	32	AAA MLE	Lehigh Valley IronPigs	—	311	286	64	14	0	6	11	70	5	1	1	224	265	336	601	112	257	23	4	262	63	—	—	—	—	—	—
2011	22	ROK MLE	Kingsport Mets	—	102	96	21	4	0	1	5	23	1	3	1	219	265	292	556	73	278	23	5	243	51	—	—	—	—	—	—
2011	22	ROK RAW	Kingsport Mets	—	102	93	27	6	0	1	8	16	1	3	1	290	353	387	740	97	342	16	8	335	51	—	—	—	—	—	—
2012	23	A MLE	2 teams	—	572	531	152	27	3	8	25	101	5	11	5	286	324	394	718	107	338	18	4	309	95	—	—	—	—	—	—
2012	23	A RAW	2 teams	—	572	516	165	29	4	9	40	71	5	11	5	320	374	444	818	124	355	12	7	359	95	—	—	—	—	—	—
2013	24	A+ MLE	2 teams	—	574	524	130	23	1	1	26	109	13	6	2	248	300	302	602	53	309	19	5	267	67	—	—	—	—	—	—
2013	24	A+ RAW	2 teams	—	574	515	149	23	1	3	35	74	13	6	2	289	350	355	705	66	331	13	6	317	67	—	—	—	—	—	—
2014	25	A+ MLE	3 teams	—	628	582	187	35	0	5	19	109	14	4	3	321	358	407	765	86	380	17	3	331	110	—	—	—	—	—	—
2014	25	A+ RAW	3 teams	—	628	572	195	40	0	6	29	78	14	4	3	341	387	442	829	101	379	12	5	365	110	—	—	—	—	—	—
2015	26	AA MLE	3 teams	—	546	521	146	27	1	6	17	77	6	1	1	280	311	370	681	90	320	14	3	300	89	—	—	—	—	—	—
2015	26	AA RAW	3 teams	—	546	508	163	33	1	10	30	56	6	1	1	321	366	449	815	128	346	10	5	362	89	—	—	—	—	—	—
2016	27	AAA MLE	2 teams	—	555	518	151	25	2	11	18	89	8	3	3	292	325	411	737	120	328	16	3	320	102	—	—	—	—	—	—
2016	27	AAA RAW	2 teams	—	555	510	178	35	2	14	26	71	8	3	3	349	390	508	898	159	378	13	5	390	102	—	—	—	—	—	—
2017	28	MLB MLE	2 teams	—	253	235	70	15	1	6	10	36	5	1	0	298	340	447	787	149	328	14	4	337	114	+4	+0	+0	+1	+5	1.1
2017	28	MLB RAW	2 teams	—	253	235	68	14	1	6	10	35	5	1	0	289	332	434	766	145	316	14	4	337	114	+4	+0	+0	+1	+5	1.1
2018	29	A+ MLE	St. Lucie Mets	—	19	19	3	1	0	0	0	4	0	0	0	158	158	211	368	53	200	21	0	163	-4	—	—	—	—	—	—
2018	29	A+ RAW	St. Lucie Mets	—	19	19	4	1	0	0	0	3	0	0	0	211	211	263	474	53	250	16	0	210	-4	—	—	—	—	—	—
2019	30	INTL MLE	2 teams	—	205	191	40	12	0	0	6	49	1	1	0	209	237	272	510	63	270	24	3	219	34	—	—	—	—	—	—
2019	30	INTL RAW	2 teams	—	205	180	45	9	0	1	17	19	1	1	0	250	318	317	635	67	265	9	8	282	34	—	—	—	—	—	—
2020	31	INTL MLE	Indios de Mayaguez	—	60	53	16	5	0	2	6	9	0	0	0	302	373	509	882	208	326	15	10	—	—	—	—	—	—	—	—
2020	31	INTL RAW	Indios de Mayaguez	—	60	53	16	5	0	2	6	9	0	0	0	302	373	509	882	208	326	15	10	382	145	—	—	—	—	—	—
2021	32	AAA MLE	2 teams	—	388	358	80	18	0	8	14	88	6	2	1	223	265	341	605	117	268	23	4	262	63	—	—	—	—	—	—
2021	32	AAA RAW	2 teams	—	388	345	92	20	0	11	27	68	6	2	1	267	331	420	751	154	297	18	7	327	63	—	—	—	—	—	—
2011	22	ROK MLE	Kingsport Mets	—	102	95	21	4	0	1	5	23	1	3	1	221	265	295	559	74	278	23	5	243	51	—	—	—	—	—	—
2012	23	A MLE	2 teams	—	572	537	152	27	3	8	25	101	5	11	5	283	324	389	714	106	329	18	4	309	95	—	—	—	—	—	—
2013	24	A+ MLE	2 teams	—	574	530	130	23	1	1	26	109	13	6	2	245	300	298	598	53	302	19	5	267	67	—	—	—	—	—	—
2014	25	A+ MLE	3 teams	—	628	590	187	35	0	5	19	109	14	4	3	317	358	402	759	85	368	17	3	331	110	—	—	—	—	—	—
2015	26	AA MLE	3 teams	—	546	518	146	27	1	6	17	77	6	1	1	282	311	373	683	91	320	14	3	300	89	—	—	—	—	—	—
2016	27	AAA MLE	2 teams	—	555	524	151	25	2	11	18	89	8	3	3	288	325	406	732	118	322	16	3	320	102	—	—	—	—	—	—
2017	28	MLB MLE	2 teams	—	253	236	70	15	1	6	10	36	5	1	0	297	340	445	785	148	313	14	4	337	114	—	—	—	—	—	—
2018	29	A+ MLE	St. Lucie Mets	—	19	19	3	1	0	0	0	4	0	0	0	158	158	211	368	53	217	21	0	163	-4	—	—	—	—	—	—
2019	30	INTL MLE	2 teams	—	205	196	40	12	0	0	6	49	1	1	0	204	237	265	503	61	266	24	3	219	34	—	—	—	—	—	—
2021	32	AAA MLE	2 teams	—	388	365	80	18	0	8	14	88	6	2	1	219	265	334	599	115	257	23	4	262	63	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	344	319	97	17	2	8	12	49	6	1	0	304	341	445	786	141	332	14	3	343	84	+7	+0	-1	+3	+7	1.7
/ 162G	—	A+C		—	650	603	183	32	4	15	23	93	11	2	0	303	341	444	785	141	332	14	4	343	84	+14	+0	-2	+5	+14	3.2
Career	—	MLE		—	3902	3628	996	192	8	48	146	694	59	32	16	275	313	372	685	97	324	18	4	292	84	+7	+0	-1	+3	+7	1.7
/ 162G	—	MLE		—	650	604	166	32	1	8	24	116	10	5	3	275	313	371	684	96	324	18	4	292	84	+14	+0	-2	+5	+14	3.2

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.

2021 AAALehigh Valley IronPigs · 311 PAwOBA .324 → .262 (−61)K% 18.6% → 22.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.65%	÷0.992	×1.200	—	—	22.57%
BB% (unintentional) /PA	5.79%	÷1.061	×0.690	—	×0.942	3.54%
HBP% /PA	1.61%	—	×0.940	—	×0.942	1.42%
Singles /BIP	22.17%	÷1.016	×0.930	×1.012	×0.942	19.34%
Doubles /BIP	7.69%	÷0.952	×0.830	×1.012	×0.942	6.39%
Triples /BIP	0.00%	÷1.150	×0.920	×1.012	×0.942	0.00%
Home runs /BIP	4.07%	÷0.957	×0.700	—	×0.942	2.81%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 91, 1B 103, 2B 90, 3B 130, K 98, BB 112 — 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 ×1.012.

Result: wOBA .324 → .262; ISO .158 → .120; BABIP .301 → .257. 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).

2019 AAHarrisburg Senators · 41 PAwOBA .260 → .219 (−41)K% 19.5% → 23.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.51%	÷0.996	×1.220	—	—	23.90%
BB% (unintentional) /PA	4.88%	÷1.054	×0.700	—	×0.940	3.05%
HBP% /PA	0.00%	—	×0.850	—	×0.940	0.00%
Singles /BIP	20.00%	÷0.991	×0.970	—	×0.940	18.40%
Doubles /BIP	10.00%	÷0.985	×0.860	—	×0.940	8.21%
Triples /BIP	0.00%	÷1.150	×0.950	—	×0.940	0.00%
Home runs /BIP	0.00%	÷1.111	×0.780	—	×0.940	0.00%

Factors used: league row EL. Park (home-season share, regressed): HR 122, 1B 98, 2B 97, 3B 130, K 99, BB 111 — applied at half strength. Age: age 31 vs a level average of 24.8 → −6.0% on BB/HBP/hit rates (6.2 yr older than average).

Result: wOBA .260 → .219; ISO .079 → .065; BABIP .300 → .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).

2018 A+St. Lucie Mets · 19 PAwOBA .204 → .163 (−41)K% 15.8% → 23.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.79%	÷0.967	×1.420	—	—	23.19%
BB% (unintentional) /PA	0.00%	÷0.907	×0.750	—	×0.940	0.00%
HBP% /PA	0.00%	—	×0.930	—	×0.940	0.00%
Singles /BIP	18.75%	÷1.022	×0.920	—	×0.940	15.87%
Doubles /BIP	6.25%	÷0.964	×0.960	—	×0.940	5.85%
Triples /BIP	0.00%	÷0.900	×0.810	—	×0.940	0.00%
Home runs /BIP	0.00%	÷1.074	×0.880	—	×0.940	0.00%

Factors used: league row FSL. Park (home-season share, regressed): HR 115, 1B 104, 2B 93, 3B 80, K 93, BB 81 — applied at half strength. Age: age 30 vs a level average of 22.8 → −6.0% on BB/HBP/hit rates (7.2 yr older than average).

Result: wOBA .204 → .163; ISO .053 → .045; BABIP .250 → .217. 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 AAALas Vegas 51s · 22 PAwOBA .339 → .256 (−83)K% 13.6% → 18.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.64%	÷0.948	×1.290	—	—	18.55%
BB% (unintentional) /PA	4.55%	÷1.015	×0.710	—	×0.982	3.12%
HBP% /PA	0.00%	—	×0.980	—	×0.982	0.00%
Singles /BIP	22.22%	÷0.994	×0.900	—	×0.982	19.76%
Doubles /BIP	5.56%	÷0.998	×0.810	—	×0.982	4.43%
Triples /BIP	0.00%	÷1.111	×0.810	—	×0.982	0.00%
Home runs /BIP	5.56%	÷1.209	×0.780	—	×0.982	3.52%

Factors used: league row PCL. Park (home-season share, regressed): HR 142, 1B 99, 2B 100, 3B 122, K 90, BB 103 — 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).

Result: wOBA .339 → .256; ISO .190 → .123; BABIP .294 → .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).

2016 AAALas Vegas 51s · 442 PAwOBA .390 → .308 (−82)K% 12.2% → 16.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.22%	÷0.971	×1.290	—	—	16.23%
BB% (unintentional) /PA	4.75%	÷0.962	×0.710	—	×0.992	3.48%
HBP% /PA	1.58%	—	×0.980	—	×0.992	1.54%
Singles /BIP	28.49%	÷0.994	×0.900	×0.963	×0.992	24.65%
Doubles /BIP	8.83%	÷1.128	×0.810	×0.963	×0.992	6.06%
Triples /BIP	0.28%	÷0.980	×0.810	×0.963	×0.992	0.22%
Home runs /BIP	3.13%	÷1.088	×0.780	—	×0.992	2.23%

Factors used: league row PCL. Park (home-season share, regressed): HR 118, 1B 99, 2B 126, 3B 96, K 94, BB 92 — 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 ×0.963.

Result: wOBA .390 → .308; ISO .163 → .113; BABIP .383 → .312. 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 AABinghamton Mets · 234 PAwOBA .363 → .310 (−54)K% 9.4% → 11.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	9.40%	÷0.974	×1.220	—	—	11.78%
BB% (unintentional) /PA	5.13%	÷0.988	×0.700	—	×0.978	3.55%
HBP% /PA	0.85%	—	×0.850	—	×0.978	0.71%
Singles /BIP	30.30%	÷1.030	×0.970	×1.004	×0.978	28.02%
Doubles /BIP	5.05%	÷1.034	×0.860	×1.004	×0.978	4.12%
Triples /BIP	0.00%	÷0.900	×0.950	×1.004	×0.978	0.00%
Home runs /BIP	2.53%	÷1.088	×0.780	—	×0.978	1.77%

Factors used: league row EL. Park (home-season share, regressed): HR 118, 1B 106, 2B 107, 3B 80, K 95, BB 98 — applied at half strength. Age: age 27 vs a level average of 24.8 → −2.2% on BB/HBP/hit rates (2.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.004.

Result: wOBA .363 → .310; ISO .114 → .084; BABIP .363 → .327. 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 AAALas Vegas 51s · 196 PAwOBA .337 → .287 (−51)K% 12.8% → 16.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.76%	÷0.977	×1.290	—	—	16.84%
BB% (unintentional) /PA	3.57%	÷1.010	×0.710	—	×1.003	2.52%
HBP% /PA	2.04%	—	×0.980	—	×1.003	2.01%
Singles /BIP	22.78%	÷0.983	×0.900	×1.033	×1.003	21.61%
Doubles /BIP	10.76%	÷1.042	×0.810	×1.033	×1.003	8.66%
Triples /BIP	0.63%	÷1.061	×0.810	×1.033	×1.003	0.50%
Home runs /BIP	1.27%	÷1.099	×0.780	—	×1.003	0.90%

Factors used: league row PCL. Park (home-season share, regressed): HR 120, 1B 97, 2B 108, 3B 112, K 95, BB 102 — 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 ×1.033.

Result: wOBA .337 → .287; ISO .137 → .104; BABIP .346 → .311. 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 A+St. Lucie Mets · 274 PAwOBA .365 → .326 (−39)K% 13.5% → 19.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.50%	÷0.984	×1.420	—	—	19.49%
BB% (unintentional) /PA	4.74%	÷1.106	×0.750	—	×0.968	3.11%
HBP% /PA	1.82%	—	×0.930	—	×0.968	1.64%
Singles /BIP	30.70%	÷1.018	×0.920	×1.050	×0.968	28.20%
Doubles /BIP	7.44%	÷0.883	×0.960	×1.050	×0.968	8.22%
Triples /BIP	0.00%	÷1.150	×0.810	×1.050	×0.968	0.00%
Home runs /BIP	1.86%	÷1.054	×0.880	—	×0.968	1.50%

Factors used: league row FSL. Park (home-season share, regressed): HR 111, 1B 104, 2B 77, 3B 130, K 97, BB 121 — 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 ×1.050.

Result: wOBA .365 → .326; ISO .111 → .105; BABIP .383 → .364. 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 — .