J.D. Martinez

PosDH

B/TR/R

Born1987-08-21

Age (2027)39

No MLB projection yet. Career stats below are historical.

Overview

MLBLAST SEASON 2024

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR
2022	34	MLBBOS	596	.274/.343/.448	16	0	114	1.7
2023	35	MLBLAD	479	.271/.326/.572	33	1	143	3.1
2024	36	MLBNYM	495	.235/.318/.406	16	0	109	1.1
2025	37	No MLB games played
2026	38	No MLB games played

Last 3 seasons WAR 5.9

Contract

No contract data on file.

Skills · percentileStatcast 2022-2024

Barrel%90

xwOBA90

Avg EV78

Bat Spd65

Speed16

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)
2009	21	ROK	Greeneville Astros	—	83	77	31	9	1	5	5	14	1	0	0	403	446	740	1.186	338	448	17	6	509	127	—	—	—	—	—	—
2010	22	AA	Corpus Christi Hooks	—	208	189	57	9	1	3	15	42	2	2	2	302	357	407	765	106	372	20	7	342	91	—	—	—	—	—	—
2010	22	A	Lexington Legends	—	393	348	126	31	3	15	33	55	11	3	0	362	434	598	1.031	236	398	14	8	450	134	—	—	—	—	—	—
2011	23	MLB	Houston Astros	—	226	208	57	13	0	6	13	48	2	0	1	274	323	423	746	149	325	21	6	328	104	+1	-0	+5	-6	+5	0.4
2011	23	AA	Corpus Christi Hooks	—	370	317	107	25	1	13	42	55	4	1	0	338	421	546	967	208	367	15	11	418	123	—	—	—	—	—	—
2012	24	MLB	Houston Astros	—	439	395	95	14	3	11	40	96	1	0	2	241	311	375	686	134	290	22	9	307	93	-4	-1	-4	-6	+10	-0.4
2012	24	AAA	Oklahoma City RedHawks	—	95	90	21	6	0	0	4	17	0	0	1	233	266	300	566	67	284	18	4	253	24	—	—	—	—	—	—
2013	25	MLB	Houston Astros	—	310	296	74	17	0	7	10	82	0	2	0	250	274	378	652	128	319	26	3	286	77	-8	+0	-7	-5	+7	-1.3
2013	25	AA	Corpus Christi Hooks	—	20	20	6	2	0	1	0	1	0	0	0	300	300	550	850	250	278	5	0	368	76	—	—	—	—	—	—
2013	25	INTL	Leones del Caracas	—	106	93	29	6	0	6	11	23	1	0	0	312	390	570	960	258	354	22	10	415	167	—	—	—	—	—	—
2014	26	MLB	Detroit Tigers	—	480	441	139	30	3	23	30	126	3	6	3	315	363	553	916	238	389	26	6	395	154	+31	+0	-8	-6	+10	2.8
2014	26	AAA	Toledo Mud Hens	—	71	65	20	3	1	10	3	17	3	2	0	308	366	846	1.212	538	263	24	4	507	176	—	—	—	—	—	—
2015	27	MLB	Detroit Tigers	—	657	596	168	33	2	38	53	178	5	3	2	282	346	535	881	253	339	27	8	382	146	+36	-0	+3	-7	+14	4.7
2016	28	MLB	Detroit Tigers	—	517	460	141	35	2	22	49	128	3	1	2	307	377	535	912	228	378	25	9	396	157	+35	-1	-14	-6	+11	2.7
2016	28	AAA	Toledo Mud Hens	—	38	36	10	3	0	0	1	11	1	1	0	278	316	361	677	83	400	29	3	306	46	—	—	—	—	—	—
2017	29	MLB	Arizona Diamondbacks	—	489	432	131	26	3	45	53	128	0	4	0	303	379	690	1.069	387	327	26	11	451	176	+45	+1	-10	-5	+11	4.2
2017	29	AAA	Toledo Mud Hens	—	18	15	1	0	0	1	2	6	0	0	0	67	176	267	443	200		33	11	193	-12	—	—	—	—	—	—
2018	30	MLB	Boston Red Sox	—	649	569	188	37	2	43	69	146	4	6	1	330	407	629	1.036	299	375	22	11	443	173	+57	+1	-6	-7	+14	5.9
2019	31	MLB	Boston Red Sox	—	657	575	175	33	2	36	72	138	4	2	0	304	385	557	941	252	342	21	11	408	152	+40	+0	-3	-7	+14	4.6
2020	32	MLB	Boston Red Sox	—	237	211	45	16	0	7	22	59	2	1	0	213	294	389	682	175	259	25	9	303	79	-6	+0	-1	-3	+5	-0.4
2021	33	MLB	Boston Red Sox	—	634	570	163	42	3	28	55	150	3	0	0	286	351	518	869	232	340	24	9	377	131	+24	+0	-1	-7	+14	3.0
2022	34	MLB	Boston Red Sox	—	596	533	146	43	1	16	52	145	5	0	0	274	343	448	792	174	345	24	9	349	114	+10	+0	+0	-6	+13	1.7
2023	35	MLB	Los Angeles Dodgers	—	479	432	117	27	2	33	34	149	2	1	0	271	326	572	897	301	324	31	7	379	143	+25	+0	+0	-5	+10	3.1
2024	36	MLB	New York Mets	—	495	434	102	24	1	16	49	141	6	0	0	235	318	406	724	171	308	28	10	322	109	+5	+0	+0	-5	+11	1.1
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	6865	6152	1741	390	24	331	601	1714	40	26	11	283	350	516	866	233	338	25	9	376	140	+329	+1	-45	-81	+149	36.0
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2009	21	ROK MLE	Greeneville Astros	—	83	80	23	6	1	4	2	20	1	0	0	287	313	537	851	250	340	24	2	356	127	—	—	—	—	—	—
2010	22	AA MLE	Corpus Christi Hooks	—	208	195	53	8	1	2	10	52	2	2	2	272	314	354	668	82	363	25	5	303	91	—	—	—	—	—	—
2010	22	A MLE	Lexington Legends	—	393	362	113	28	3	10	19	75	11	3	0	312	365	489	854	177	365	19	5	366	134	—	—	—	—	—	—
2011	23	MLB MLE	Houston Astros	—	226	209	56	12	0	6	12	48	2	0	1	268	314	411	725	144	325	21	5	322	104	+1	-0	+5	-6	+5	0.4
2011	23	AA MLE	Corpus Christi Hooks	—	370	333	96	24	1	10	26	65	4	1	0	288	347	456	804	168	316	18	7	350	123	—	—	—	—	—	—
2012	24	MLB MLE	Houston Astros	—	439	396	94	13	3	11	40	96	1	0	2	237	309	369	678	131	290	22	9	306	93	-4	-1	-4	-6	+10	-0.4
2012	24	AAA MLE	Oklahoma City RedHawks	—	95	91	18	5	0	0	3	22	0	0	1	198	223	253	476	55	247	23	3	204	24	—	—	—	—	—	—
2013	25	MLB MLE	Houston Astros	—	310	297	73	16	0	7	10	82	0	2	0	246	270	370	641	125	319	26	3	283	77	-8	+0	-7	-5	+7	-1.3
2013	25	AA MLE	Corpus Christi Hooks	—	20	20	6	2	0	1	0	1	0	0	0	300	300	550	850	250	228	5	0	281	76	—	—	—	—	—	—
2014	26	MLB MLE	Detroit Tigers	—	480	446	142	31	3	24	25	126	3	6	3	318	359	563	921	244	389	26	5	396	154	+31	+0	-8	-6	+10	2.8
2014	26	AAA MLE	Toledo Mud Hens	—	71	66	17	2	1	9	2	20	3	2	0	258	310	727	1.037	470	232	28	3	429	176	—	—	—	—	—	—
2015	27	MLB MLE	Detroit Tigers	—	657	603	172	34	2	40	46	178	5	3	2	285	341	547	888	262	339	27	7	384	146	+36	-0	+3	-7	+14	4.7
2016	28	MLB MLE	Detroit Tigers	—	517	462	144	36	2	23	47	128	3	1	2	312	379	548	927	236	378	25	9	401	157	+35	-1	-14	-6	+11	2.7
2016	28	AAA MLE	Toledo Mud Hens	—	38	36	8	2	0	0	1	13	1	1	0	222	263	278	541	56	345	34	3	236	46	—	—	—	—	—	—
2017	29	MLB MLE	Arizona Diamondbacks	—	489	440	128	24	2	45	45	128	0	4	0	291	357	661	1.018	370	327	26	9	429	176	+45	+1	-10	-5	+11	4.2
2017	29	AAA MLE	Toledo Mud Hens	—	18	16	1	0	0	1	1	7	0	0	0	62	118	250	368	188		39	6	151	-12	—	—	—	—	—	—
2018	30	MLB MLE	Boston Red Sox	—	649	580	183	33	2	44	58	146	4	6	1	316	382	607	989	291	375	22	9	424	173	+57	+1	-6	-7	+14	5.9
2019	31	MLB MLE	Boston Red Sox	—	657	585	170	29	2	37	63	138	4	2	0	291	363	537	900	246	342	21	10	392	152	+40	+0	-3	-7	+14	4.6
2020	32	MLB MLE	Boston Red Sox	—	237	214	43	14	0	7	19	59	2	1	0	201	272	364	637	164	259	25	8	285	79	-6	+0	-1	-3	+5	-0.4
2021	33	MLB MLE	Boston Red Sox	—	634	577	158	37	3	29	49	150	3	0	0	274	334	499	833	225	340	24	8	362	131	+24	+0	-1	-7	+14	3.0
2022	34	MLB MLE	Boston Red Sox	—	596	535	140	38	1	16	51	145	5	0	0	262	332	426	758	164	345	24	9	337	114	+10	+0	+0	-6	+13	1.7
2023	35	MLB MLE	Los Angeles Dodgers	—	479	435	119	29	2	32	33	149	2	1	0	274	328	570	898	297	324	31	7	380	143	+25	+0	+0	-5	+10	3.1
2024	36	MLB MLE	New York Mets	—	495	438	105	25	1	16	49	141	6	0	0	240	325	411	736	171	308	28	10	329	109	+5	+0	+0	-5	+11	1.1
2009	21	ROK MLE	Greeneville Astros	—	83	80	23	6	1	4	2	20	1	0	0	287	313	537	851	250	339	24	2	356	127	—	—	—	—	—	—
2009	21	ROK RAW	Greeneville Astros	—	83	77	31	9	1	5	5	14	1	0	0	403	446	740	1.186	338	448	17	6	509	127	—	—	—	—	—	—
2010	22	A MLE	2 teams	—	601	557	167	36	4	13	29	127	13	5	2	300	349	449	798	149	368	21	5	344	119	—	—	—	—	—	—
2010	22	A RAW	2 teams	—	601	537	183	40	4	18	48	97	13	5	2	341	407	531	938	190	389	16	8	412	119	—	—	—	—	—	—
2011	23	AA MLE	2 teams	—	596	542	153	36	1	17	38	113	6	1	1	282	336	446	783	164	322	19	6	339	116	—	—	—	—	—	—
2011	23	AA RAW	2 teams	—	596	525	164	38	1	19	55	103	6	1	1	312	384	497	881	185	351	17	9	384	116	—	—	—	—	—	—
2012	24	MLB MLE	2 teams	—	534	487	112	18	3	11	43	118	1	0	3	230	294	347	641	117	280	22	8	288	81	-12	-1	-4	-6	+12	-1.2
2012	24	MLB RAW	2 teams	—	534	485	116	20	3	11	44	113	1	0	3	239	303	361	664	122	288	21	8	298	81	-12	-1	-4	-6	+12	-1.2
2013	25	MLB MLE	3 teams	—	436	418	102	23	0	10	13	110	1	2	0	244	269	371	639	127	305	25	3	283	77	-12	+0	-7	-5	+9	-1.4
2013	25	MLB RAW	3 teams	—	436	409	109	25	0	14	21	106	1	2	0	267	303	430	734	164	324	24	5	321	77	-12	+0	-7	-5	+9	-1.4
2014	26	MLB MLE	2 teams	—	551	512	159	33	4	33	27	146	6	8	3	311	352	584	936	273	372	26	5	400	157	+37	+0	-8	-6	+12	3.7
2014	26	MLB RAW	2 teams	—	551	506	159	33	4	33	33	143	6	8	3	314	363	591	954	277	375	26	6	409	157	+37	+0	-8	-6	+12	3.7
2015	27	MLB MLE	Detroit Tigers	—	657	603	172	34	2	40	46	178	5	3	2	285	341	547	888	262	340	27	7	384	146	+36	-0	+3	-7	+14	4.7
2015	27	MLB RAW	Detroit Tigers	—	657	596	168	33	2	38	53	178	5	3	2	282	346	535	881	253	339	27	8	382	146	+36	-0	+3	-7	+14	4.7
2016	28	MLB MLE	2 teams	—	555	498	152	38	2	23	48	141	4	2	2	305	371	528	899	223	381	25	9	390	150	+33	-0	-14	-6	+12	2.5
2016	28	MLB RAW	2 teams	—	555	496	151	38	2	22	50	139	4	2	2	304	373	522	895	218	379	25	9	389	150	+33	-0	-14	-6	+12	2.5
2017	29	MLB MLE	2 teams	—	507	456	128	24	2	45	46	135	0	4	0	281	347	638	985	357	295	27	9	419	170	+42	+1	-10	-5	+11	4.0
2017	29	MLB RAW	2 teams	—	507	447	132	26	3	46	55	134	0	4	0	295	373	676	1.048	380	316	26	11	442	170	+42	+1	-10	-5	+11	4.0
2018	30	MLB MLE	Boston Red Sox	—	649	580	183	33	2	44	58	146	4	6	1	316	382	607	989	291	350	22	9	424	173	+57	+1	-6	-7	+14	5.9
2018	30	MLB RAW	Boston Red Sox	—	649	569	188	37	2	43	69	146	4	6	1	330	407	629	1.036	299	375	22	11	443	173	+57	+1	-6	-7	+14	5.9
2019	31	MLB MLE	Boston Red Sox	—	657	585	170	29	2	37	63	138	4	2	0	291	363	537	900	246	320	21	10	392	152	+40	+0	-3	-7	+14	4.6
2019	31	MLB RAW	Boston Red Sox	—	657	575	175	33	2	36	72	138	4	2	0	304	385	557	941	252	342	21	11	408	152	+40	+0	-3	-7	+14	4.6
2020	32	MLB MLE	Boston Red Sox	—	237	214	43	14	0	7	19	59	2	1	0	201	272	364	637	164	240	25	8	285	79	-6	+0	-1	-3	+5	-0.4
2020	32	MLB RAW	Boston Red Sox	—	237	211	45	16	0	7	22	59	2	1	0	213	294	389	682	175	259	25	9	303	79	-6	+0	-1	-3	+5	-0.4
2021	33	MLB MLE	Boston Red Sox	—	634	577	158	37	3	29	49	150	3	0	0	274	334	499	833	225	320	24	8	362	131	+24	+0	-1	-7	+14	3.0
2021	33	MLB RAW	Boston Red Sox	—	634	570	163	42	3	28	55	150	3	0	0	286	351	518	869	232	340	24	9	377	131	+24	+0	-1	-7	+14	3.0
2022	34	MLB MLE	Boston Red Sox	—	596	535	140	38	1	16	51	145	5	0	0	262	332	426	758	164	327	24	9	337	114	+10	+0	+0	-6	+13	1.7
2022	34	MLB RAW	Boston Red Sox	—	596	533	146	43	1	16	52	145	5	0	0	274	343	448	792	174	345	24	9	349	114	+10	+0	+0	-6	+13	1.7
2023	35	MLB MLE	Los Angeles Dodgers	—	479	435	119	29	2	32	33	149	2	1	0	274	328	570	898	297	331	31	7	380	143	+25	+0	+0	-5	+10	3.1
2023	35	MLB RAW	Los Angeles Dodgers	—	479	432	117	27	2	33	34	149	2	1	0	271	326	572	897	301	324	31	7	379	143	+25	+0	+0	-5	+10	3.1
2024	36	MLB MLE	New York Mets	—	495	438	105	25	1	16	49	141	6	0	0	240	325	411	736	171	314	28	10	329	109	+5	+0	+0	-5	+11	1.1
2024	36	MLB RAW	New York Mets	—	495	434	102	24	1	16	49	141	6	0	0	235	318	406	724	171	308	28	10	322	109	+5	+0	+0	-5	+11	1.1
2009	21	ROK MLE	Greeneville Astros	—	83	80	23	6	1	4	2	20	1	0	0	287	313	537	851	250	340	24	2	356	127	—	—	—	—	—	—
2010	22	A MLE	2 teams	—	601	554	167	36	4	13	29	127	13	5	2	301	349	451	800	150	364	21	5	344	119	—	—	—	—	—	—
2011	23	AA MLE	2 teams	—	596	547	153	36	1	17	38	113	6	1	1	280	336	442	779	163	319	19	6	339	116	—	—	—	—	—	—
2012	24	MLB MLE	2 teams	—	534	485	112	18	3	11	43	118	1	0	3	231	294	348	642	118	282	22	8	288	81	—	—	—	—	—	—
2013	25	MLB MLE	3 teams	—	436	419	102	23	0	10	13	110	1	2	0	243	269	370	638	126	314	25	3	283	77	—	—	—	—	—	—
2014	26	MLB MLE	2 teams	—	551	513	159	33	4	33	27	146	6	8	3	310	352	583	935	273	369	26	5	400	157	—	—	—	—	—	—
2015	27	MLB MLE	Detroit Tigers	—	657	601	172	34	2	40	46	178	5	3	2	286	341	549	890	263	339	27	7	384	146	—	—	—	—	—	—
2016	28	MLB MLE	2 teams	—	555	498	152	38	2	23	48	141	4	2	2	305	371	528	899	223	376	25	9	390	150	—	—	—	—	—	—
2017	29	MLB MLE	2 teams	—	507	456	128	24	2	45	46	135	0	4	0	281	347	638	985	357	315	27	9	419	170	—	—	—	—	—	—
2018	30	MLB MLE	Boston Red Sox	—	649	582	183	33	2	44	58	146	4	6	1	314	382	605	986	290	375	22	9	424	173	—	—	—	—	—	—
2019	31	MLB MLE	Boston Red Sox	—	657	585	170	29	2	37	63	138	4	2	0	291	363	537	900	246	342	21	10	392	152	—	—	—	—	—	—
2020	32	MLB MLE	Boston Red Sox	—	237	214	43	14	0	7	19	59	2	1	0	201	272	364	637	164	259	25	8	285	79	—	—	—	—	—	—
2021	33	MLB MLE	Boston Red Sox	—	634	577	158	37	3	29	49	150	3	0	0	274	334	499	833	225	340	24	8	362	131	—	—	—	—	—	—
2022	34	MLB MLE	Boston Red Sox	—	596	535	140	38	1	16	51	145	5	0	0	262	332	426	758	164	345	24	9	337	114	—	—	—	—	—	—
2023	35	MLB MLE	Los Angeles Dodgers	—	479	441	119	29	2	32	33	149	2	1	0	270	328	562	890	293	324	31	7	380	143	—	—	—	—	—	—
2024	36	MLB MLE	New York Mets	—	495	437	105	25	1	16	49	141	6	0	0	240	325	412	736	172	308	28	10	329	109	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	36	MLB MLE	New York Mets	—	495	437	105	25	1	16	49	141	6	0	0	240	325	412	736	172	308	28	10	329	109	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	6865	6152	1741	390	24	331	601	1714	40	26	11	283	350	516	866	233	338	25	9	376	131	+329	+1	-45	-81	+149	36.0
/ 162G	—	A+C		—	650	582	164	37	2	31	57	162	4	2	1	282	349	512	861	230	337	25	9	376	131	+31	+0	-4	-8	+14	3.4
Career	—	MLE		—	8267	7517	2086	453	30	377	614	2016	63	35	14	278	337	496	833	219	329	24	7	362	131	+329	+1	-45	-81	+149	36.0
/ 162G	—	MLE		—	650	591	164	36	2	30	48	159	5	3	1	277	337	497	834	220	328	24	7	362	131	+31	+0	-4	-8	+14	3.4

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.

2017 AAAToledo Mud Hens · 18 PAwOBA .199 → .151 (−48)K% 33.3% → 39.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	33.33%	÷1.004	×1.200	—	—	39.84%
BB% (unintentional) /PA	11.11%	÷0.996	×0.690	—	×0.972	7.48%
HBP% /PA	0.00%	—	×0.940	—	×0.972	0.00%
Singles /BIP	0.00%	÷1.054	×0.930	—	×0.972	0.00%
Doubles /BIP	0.00%	÷0.916	×0.830	—	×0.972	0.00%
Triples /BIP	0.00%	÷1.150	×0.970	—	×0.972	0.00%
Home runs /BIP	11.11%	÷1.049	×0.840	—	×0.972	8.65%

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).

Result: wOBA .199 → .151; ISO .200 → .164; BABIP .000 → .000. 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 AAAToledo Mud Hens · 38 PAwOBA .298 → .236 (−61)K% 28.9% → 34.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	28.95%	÷1.009	×1.200	—	—	34.42%
BB% (unintentional) /PA	2.63%	÷1.004	×0.690	—	×0.982	1.78%
HBP% /PA	2.63%	—	×0.940	—	×0.982	2.43%
Singles /BIP	28.00%	÷1.001	×0.930	—	×0.982	25.54%
Doubles /BIP	12.00%	÷1.092	×0.830	—	×0.982	8.95%
Triples /BIP	0.00%	÷1.150	×0.970	—	×0.982	0.00%
Home runs /BIP	0.00%	÷0.899	×0.840	—	×0.982	0.00%

Factors used: league row IL. Park (home-season share, regressed): HR 80, 1B 100, 2B 118, 3B 130, K 102, BB 101 — 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 .298 → .236; ISO .083 → .058; BABIP .400 → .345. 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 AAAToledo Mud Hens · 71 PAwOBA .491 → .429 (−61)K% 23.9% → 28.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.94%	÷1.017	×1.200	—	—	28.25%
BB% (unintentional) /PA	4.23%	÷1.053	×0.690	—	×1.003	2.78%
HBP% /PA	4.23%	—	×0.940	—	×1.003	3.98%
Singles /BIP	12.50%	÷0.999	×0.930	—	×1.003	11.68%
Doubles /BIP	6.25%	÷1.031	×0.830	—	×1.003	5.05%
Triples /BIP	2.08%	÷1.049	×0.970	—	×1.003	1.93%
Home runs /BIP	20.83%	÷0.899	×0.840	—	×1.003	19.52%

Factors used: league row IL. Park (home-season share, regressed): HR 80, 1B 100, 2B 106, 3B 110, K 103, BB 111 — 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).

Result: wOBA .491 → .429; ISO .538 → .479; BABIP .263 → .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).

2013 AACorpus Christi Hooks · 20 PAwOBA .357 → .281 (−76)K% 5.0% → 6.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	5.00%	÷1.004	×1.220	—	—	6.07%
BB% (unintentional) /PA	0.00%	÷1.117	×0.700	—	×0.988	0.00%
HBP% /PA	0.00%	—	×0.870	—	×0.988	0.00%
Singles /BIP	15.79%	÷1.040	×0.920	—	×0.988	13.80%
Doubles /BIP	10.53%	÷1.067	×0.840	—	×0.988	8.19%
Triples /BIP	0.00%	÷0.900	×0.940	—	×0.988	0.00%
Home runs /BIP	5.26%	÷1.106	×0.800	—	×0.988	3.76%

Factors used: league row TL. Park (home-season share, regressed): HR 121, 1B 108, 2B 113, 3B 80, K 101, BB 123 — applied at half strength. Age: age 26 vs a level average of 24.8 → −1.2% on BB/HBP/hit rates (1.2 yr older than average).

Result: wOBA .357 → .281; ISO .250 → .183; BABIP .278 → .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 AAAOklahoma City RedHawks · 95 PAwOBA .249 → .204 (−45)K% 17.9% → 22.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.89%	÷1.018	×1.290	—	—	22.68%
BB% (unintentional) /PA	4.21%	÷1.079	×0.710	—	×1.033	2.86%
HBP% /PA	0.00%	—	×0.980	—	×1.033	0.00%
Singles /BIP	20.55%	÷1.001	×0.900	×0.953	×1.033	18.20%
Doubles /BIP	8.22%	÷0.960	×0.810	×0.953	×1.033	6.83%
Triples /BIP	0.00%	÷1.101	×0.810	×0.953	×1.033	0.00%
Home runs /BIP	0.00%	÷1.033	×0.780	—	×1.033	0.00%

Factors used: league row PCL. Park (home-season share, regressed): HR 107, 1B 100, 2B 92, 3B 120, K 104, BB 116 — 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 ×0.953.

Result: wOBA .249 → .204; ISO .067 → .054; BABIP .284 → .247. 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 AACorpus Christi Hooks · 370 PAwOBA .414 → .350 (−64)K% 14.9% → 17.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.86%	÷1.028	×1.220	—	—	17.64%
BB% (unintentional) /PA	11.08%	÷1.099	×0.700	—	×1.012	7.14%
HBP% /PA	1.08%	—	×0.870	—	×1.012	0.95%
Singles /BIP	25.95%	÷1.088	×0.920	×0.999	×1.012	22.18%
Doubles /BIP	9.54%	÷0.934	×0.840	×0.999	×1.012	8.68%
Triples /BIP	0.38%	÷0.922	×0.940	×0.999	×1.012	0.39%
Home runs /BIP	4.96%	÷1.059	×0.800	—	×1.012	3.79%

Factors used: league row TL. Park (home-season share, regressed): HR 112, 1B 118, 2B 87, 3B 84, K 106, BB 120 — applied at half strength. Age: age 24 vs a level average of 24.8 → +1.2% on BB/HBP/hit rates (0.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.999.

Result: wOBA .414 → .350; ISO .208 → .181; BABIP .367 → .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).

2010 ALexington Legends · 393 PAwOBA .437 → .366 (−71)K% 14.0% → 19.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.99%	÷0.984	×1.340	—	—	19.07%
BB% (unintentional) /PA	7.89%	÷1.072	×0.660	—	×0.990	4.81%
HBP% /PA	2.80%	—	×0.770	—	×0.990	2.13%
Singles /BIP	26.28%	÷1.008	×0.920	×1.042	×0.990	24.74%
Doubles /BIP	10.58%	÷0.945	×0.820	×1.042	×0.990	9.48%
Triples /BIP	1.02%	÷0.900	×0.940	×1.042	×0.990	1.10%
Home runs /BIP	5.12%	÷1.157	×0.820	—	×0.990	3.59%

Factors used: league row SAL. Park (home-season share, regressed): HR 131, 1B 102, 2B 89, 3B 80, K 97, BB 114 — applied at half strength. Age: age 23 vs a level average of 22.0 → −1.0% on BB/HBP/hit rates (1.0 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.042.

Result: wOBA .437 → .366; ISO .236 → .188; BABIP .398 → .365. 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 AACorpus Christi Hooks · 208 PAwOBA .335 → .303 (−32)K% 20.2% → 24.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.19%	÷0.993	×1.220	—	—	24.82%
BB% (unintentional) /PA	7.21%	÷1.040	×0.700	—	×1.027	4.99%
HBP% /PA	0.96%	—	×0.870	—	×1.027	0.86%
Singles /BIP	29.93%	÷1.009	×0.920	×1.048	×1.027	29.36%
Doubles /BIP	6.12%	÷0.942	×0.840	×1.048	×1.027	5.87%
Triples /BIP	0.68%	÷0.900	×0.940	×1.048	×1.027	0.76%
Home runs /BIP	2.04%	÷1.030	×0.800	—	×1.027	1.63%

Factors used: league row TL. Park (home-season share, regressed): HR 106, 1B 102, 2B 88, 3B 80, K 99, BB 108 — 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 ×1.048.

Result: wOBA .335 → .303; ISO .106 → .094; BABIP .372 → .363. 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 — .