Jean Segura

PosSS

B/TR/R

Born1990-03-17

Age (2027)37

No MLB projection yet. Career stats below are historical.

Overview

INTLLAST SEASON 2024

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2022	32	AAAPHI	36	.200/.333/.200	0	2	25	—	.156/.250/.156
2022	32	MLBPHI	387	.277/.337/.387	10	13	103	1.6
2023	33	MLBMIA	326	.219/.277/.279	3	6	62	-0.9
2024	34	AAA/INTL2 orgs	240	.252/.309/.335	2	9	74	—	.113/.203/.151
2025	35	No MLB games played
2026	36	No MLB games played

Last 3 seasons WAR 0.7

Contract

No contract data on file.

Skills · percentileStatcast 2021-2023

xwOBA48

Speed47

Bat Spd37

Avg EV29

Barrel%24

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)
2007	17	ROK	DSL Angels	—	253	219	71	5	2	2	22	28	3	22	6	324	392	393	785	68	363	11	9	346	52	—	—	—	—	—	—
2008	18	ROK	AZL Angels	—	43	36	9	0	0	0	6	5	1	1	0	250	372	250	622		290	12	14	304	41	—	—	—	—	—	—
2009	19	AAA	Salt Lake Bees	—	19	19	8	2	0	0	0	4	0	0	0	421	421	526	947	105	533	21	0	421	120	—	—	—	—	—	—
2009	19	ROK	Orem Owlz	—	177	162	56	10	4	3	11	11	2	11	3	346	394	512	907	167	356	6	6	395	92	—	—	—	—	—	—
2010	20	A	Cedar Rapids Kernels	—	581	515	161	24	12	10	45	72	2	50	10	313	370	464	834	151	342	12	8	358	103	—	—	—	—	—	—
2011	21	A+	Inland Empire 66ers	—	202	185	52	9	4	3	15	26	1	18	6	281	338	422	760	141	312	13	7	337	80	—	—	—	—	—	—
2011	21	ROK	AZL Angels	—	30	30	11	4	0	1	0	3	0	0	0	367	367	600	967	233	385	10	0	422	86	—	—	—	—	—	—
2011	21	INTL	Gigantes del Cibao	—	105	96	29	6	2	0	7	18	0	5	3	302	350	406	756	104	367	17	7	332	111	—	—	—	—	—	—
2012	22	MLB	Milwaukee Brewers	—	166	151	39	4	3	0	13	23	0	7	1	258	317	325	642	66	302	14	8	289	76	-5	+1	-3	+8	+4	0.5
2012	22	AA	Huntsville Stars	—	451	404	123	13	5	7	27	61	9	37	13	304	361	413	775	109	341	14	6	340	91	—	—	—	—	—	—
2012	22	INTL	Gigantes del Cibao	—	164	148	48	5	2	2	10	16	3	11	3	324	379	426	805	101	354	10	6	355	127	—	—	—	—	—	—
2013	23	MLB	Milwaukee Brewers	—	623	588	173	20	10	12	25	84	6	44	13	294	330	423	753	129	326	13	4	333	112	+9	+4	+10	+7	+13	4.4
2014	24	MLB	Milwaukee Brewers	—	557	513	126	14	6	5	28	70	4	20	9	246	290	326	615	80	275	13	5	273	68	-21	+0	+3	+6	+12	0.1
2015	25	MLB	Milwaukee Brewers	—	584	560	144	16	5	6	13	93	6	25	6	257	282	336	617	79	298	16	2	275	72	-19	+3	+4	+6	+13	0.7
2016	26	MLB	Arizona Diamondbacks	—	694	637	203	41	7	20	39	101	12	33	10	319	369	499	868	181	353	15	6	380	135	+29	+3	+10	+2	+15	6.0
2017	27	MLB	Seattle Mariners	—	566	524	157	30	2	11	34	83	6	22	8	300	349	427	776	128	339	15	6	346	120	+14	+1	+4	+6	+12	3.8
2018	28	MLB	Seattle Mariners	—	632	586	178	29	3	10	32	69	4	20	11	304	344	415	759	111	327	11	5	334	113	+10	-0	+5	+7	+14	3.5
2019	29	MLB	Philadelphia Phillies	—	618	576	161	37	4	12	30	73	8	10	2	280	324	420	744	141	302	12	5	329	107	+5	+1	-2	+7	+13	2.5
2020	30	MLB	Philadelphia Phillies	—	217	192	51	5	2	7	23	45	1	2	2	266	347	422	769	156	314	21	11	343	111	+3	-0	+4	+1	+5	1.3
2021	31	MLB	Philadelphia Phillies	—	567	514	149	27	3	14	39	78	9	9	3	290	351	436	786	146	317	14	7	348	117	+12	+1	+7	+2	+12	3.4
2022	32	MLB	Philadelphia Phillies	—	387	354	98	9	0	10	25	58	7	13	6	277	337	387	724	110	307	15	6	327	103	+2	+0	+4	+2	+8	1.6
2022	32	AAA	Lehigh Valley IronPigs	—	36	30	6	0	0	0	6	6	0	2	0	200	333	200	533		250	17	17	267	25	—	—	—	—	—	—
2023	33	MLB	Miami Marlins	—	326	301	66	5	2	3	22	47	2	6	2	219	277	279	556	60	251	14	7	256	62	-15	+0	-2	+1	+7	-0.9
2024	34	AAA	Norfolk Tides	—	60	51	7	3	0	0	6	13	2	1	1	137	254	196	450	59	179	22	10	219	2	—	—	—	—	—	—
2024	34	INTL	Leones del Escogido	—	180	167	48	9	0	2	6	28	4	8	1	287	328	377	705	90	331	16	3	313	98	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	5937	5496	1545	237	47	110	323	824	65	211	73	281	328	401	730	120	313	14	5	324	105	+38	+13	+44	+55	+129	28.4
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2007	17	ROK MLE	DSL Angels	—	253	226	52	3	1	1	16	34	3	22	6	230	290	265	555	35	256	13	6	245	52	—	—	—	—	—	—
2008	18	ROK MLE	AZL Angels	—	43	38	8	0	0	0	4	7	1	1	0	211	302	211	513		243	16	9	229	41	—	—	—	—	—	—
2009	19	AAA MLE	Salt Lake Bees	—	19	19	7	2	0	0	0	5	0	0	0	368	368	474	842	105	491	26	0	345	120	—	—	—	—	—	—
2009	19	ROK MLE	Orem Owlz	—	177	167	45	7	3	2	6	16	2	11	3	269	303	383	686	114	287	9	3	304	92	—	—	—	—	—	—
2010	20	A MLE	Cedar Rapids Kernels	—	581	533	157	22	10	9	27	103	2	50	10	295	331	424	755	129	331	18	5	321	103	—	—	—	—	—	—
2011	21	A+ MLE	Inland Empire 66ers	—	202	191	48	8	3	3	9	36	1	18	6	251	289	372	660	120	289	18	4	287	80	—	—	—	—	—	—
2011	21	ROK MLE	AZL Angels	—	30	30	9	3	0	1	0	4	0	0	0	300	300	500	800	200	293	13	0	296	86	—	—	—	—	—	—
2012	22	MLB MLE	Milwaukee Brewers	—	166	154	39	4	3	0	10	23	0	7	1	253	299	318	617	65	302	14	6	280	76	-5	+1	-3	+8	+4	0.5
2012	22	AA MLE	Huntsville Stars	—	451	414	118	14	4	5	17	81	9	37	13	285	327	374	702	89	329	18	4	303	91	—	—	—	—	—	—
2013	23	MLB MLE	Milwaukee Brewers	—	623	589	174	21	10	11	24	84	6	44	13	295	330	421	751	126	326	13	4	334	112	+9	+4	+10	+7	+13	4.4
2014	24	MLB MLE	Milwaukee Brewers	—	557	518	128	15	6	5	23	70	4	20	9	247	284	328	613	81	275	13	4	269	68	-21	+0	+3	+6	+12	0.1
2015	25	MLB MLE	Milwaukee Brewers	—	584	562	146	17	5	6	11	93	6	25	6	260	282	340	621	80	298	16	2	275	72	-19	+3	+4	+6	+13	0.7
2016	26	MLB MLE	Arizona Diamondbacks	—	694	638	197	37	6	20	38	101	12	33	10	309	359	480	839	171	353	15	5	368	135	+29	+3	+10	+2	+15	6.0
2017	27	MLB MLE	Seattle Mariners	—	566	528	158	30	2	11	31	83	6	22	8	299	345	426	771	127	339	15	5	346	120	+14	+1	+4	+6	+12	3.8
2018	28	MLB MLE	Seattle Mariners	—	632	588	179	29	3	10	30	69	4	20	11	304	342	415	757	111	327	11	5	335	113	+10	-0	+5	+7	+14	3.5
2019	29	MLB MLE	Philadelphia Phillies	—	618	577	160	38	4	11	29	73	8	10	2	277	321	414	735	137	302	12	5	327	107	+5	+1	-2	+7	+13	2.5
2020	30	MLB MLE	Philadelphia Phillies	—	217	194	51	5	2	7	21	45	1	2	2	263	338	418	755	155	314	21	10	332	111	+3	-0	+4	+1	+5	1.3
2021	31	MLB MLE	Philadelphia Phillies	—	567	517	148	28	3	13	36	78	9	9	3	286	343	427	771	141	317	14	6	342	117	+12	+1	+7	+2	+12	3.4
2022	32	MLB MLE	Philadelphia Phillies	—	387	355	97	9	0	9	24	58	7	13	6	273	332	375	706	101	307	15	6	321	103	+2	+0	+4	+2	+8	1.6
2022	32	AAA MLE	Lehigh Valley IronPigs	—	36	32	5	0	0	0	4	7	0	2	0	156	250	156	406		220	19	11	205	25	—	—	—	—	—	—
2023	33	MLB MLE	Miami Marlins	—	326	302	67	5	2	3	21	47	2	6	2	222	277	281	558	60	251	14	6	260	62	-15	+0	-2	+1	+7	-0.9
2024	34	AAA MLE	Norfolk Tides	—	60	53	6	2	0	0	4	15	2	1	1	113	203	151	354	38	147	25	7	171	2	—	—	—	—	—	—
2007	17	ROK MLE	DSL Angels	—	253	226	52	3	1	1	16	34	3	22	6	230	290	265	555	35	266	13	6	245	52	—	—	—	—	—	—
2007	17	ROK RAW	DSL Angels	—	253	219	71	5	2	2	22	28	3	22	6	324	392	393	785	68	363	11	9	346	52	—	—	—	—	—	—
2008	18	ROK MLE	AZL Angels	—	43	38	8	0	0	0	4	7	1	1	0	211	302	211	513		258	16	9	229	41	—	—	—	—	—	—
2008	18	ROK RAW	AZL Angels	—	43	36	9	0	0	0	6	5	1	1	0	250	372	250	622		290	12	14	304	41	—	—	—	—	—	—
2009	19	ROK MLE	2 teams	—	196	186	52	9	3	2	6	21	2	11	3	280	309	392	702	113	305	11	3	308	95	—	—	—	—	—	—
2009	19	ROK RAW	2 teams	—	196	181	64	12	4	3	11	15	2	11	3	354	397	514	911	160	372	8	6	398	95	—	—	—	—	—	—
2010	20	A MLE	Cedar Rapids Kernels	—	581	533	157	22	10	9	27	103	2	50	10	295	331	424	755	129	345	18	5	321	103	—	—	—	—	—	—
2010	20	A RAW	Cedar Rapids Kernels	—	581	515	161	24	12	10	45	72	2	50	10	313	370	464	834	151	342	12	8	358	103	—	—	—	—	—	—
2011	21	A+ MLE	3 teams	—	337	319	80	15	4	5	14	59	1	23	9	251	284	370	654	119	292	18	4	288	81	—	—	—	—	—	—
2011	21	A+ RAW	3 teams	—	337	311	92	19	6	4	22	47	1	23	9	296	344	434	778	138	336	14	7	343	81	—	—	—	—	—	—
2012	22	AA MLE	3 teams	—	781	719	199	23	9	6	34	131	12	55	17	277	320	359	679	82	329	17	4	297	87	—	—	—	—	—	—
2012	22	AA RAW	3 teams	—	781	703	210	22	10	9	50	100	12	55	17	299	356	397	752	98	336	13	6	333	87	—	—	—	—	—	—
2013	23	MLB MLE	Milwaukee Brewers	—	623	589	174	21	10	11	24	84	6	44	13	295	330	421	751	126	329	13	4	334	112	+9	+4	+10	+7	+13	4.4
2013	23	MLB RAW	Milwaukee Brewers	—	623	588	173	20	10	12	25	84	6	44	13	294	330	423	753	129	326	13	4	333	112	+9	+4	+10	+7	+13	4.4
2014	24	MLB MLE	Milwaukee Brewers	—	557	518	128	15	6	5	23	70	4	20	9	247	284	328	613	81	276	13	4	269	68	-21	+0	+3	+6	+12	0.1
2014	24	MLB RAW	Milwaukee Brewers	—	557	513	126	14	6	5	28	70	4	20	9	246	290	326	615	80	275	13	5	273	68	-21	+0	+3	+6	+12	0.1
2015	25	MLB MLE	Milwaukee Brewers	—	584	562	146	17	5	6	11	93	6	25	6	260	282	340	621	80	301	16	2	275	72	-19	+3	+4	+6	+13	0.7
2015	25	MLB RAW	Milwaukee Brewers	—	584	560	144	16	5	6	13	93	6	25	6	257	282	336	617	79	298	16	2	275	72	-19	+3	+4	+6	+13	0.7
2016	26	MLB MLE	Arizona Diamondbacks	—	694	638	197	37	6	20	38	101	12	33	10	309	359	480	839	171	341	15	5	368	135	+29	+3	+10	+2	+15	6.0
2016	26	MLB RAW	Arizona Diamondbacks	—	694	637	203	41	7	20	39	101	12	33	10	319	369	499	868	181	353	15	6	380	135	+29	+3	+10	+2	+15	6.0
2017	27	MLB MLE	Seattle Mariners	—	566	528	158	30	2	11	31	83	6	22	8	299	345	426	771	127	338	15	5	346	120	+14	+1	+4	+6	+12	3.8
2017	27	MLB RAW	Seattle Mariners	—	566	524	157	30	2	11	34	83	6	22	8	300	349	427	776	128	339	15	6	346	120	+14	+1	+4	+6	+12	3.8
2018	28	MLB MLE	Seattle Mariners	—	632	588	179	29	3	10	30	69	4	20	11	304	342	415	757	111	328	11	5	335	113	+10	-0	+5	+7	+14	3.5
2018	28	MLB RAW	Seattle Mariners	—	632	586	178	29	3	10	32	69	4	20	11	304	344	415	759	111	327	11	5	334	113	+10	-0	+5	+7	+14	3.5
2019	29	MLB MLE	Philadelphia Phillies	—	618	577	160	38	4	11	29	73	8	10	2	277	321	414	735	137	300	12	5	327	107	+5	+1	-2	+7	+13	2.5
2019	29	MLB RAW	Philadelphia Phillies	—	618	576	161	37	4	12	30	73	8	10	2	280	324	420	744	141	302	12	5	329	107	+5	+1	-2	+7	+13	2.5
2020	30	MLB MLE	Philadelphia Phillies	—	217	194	51	5	2	7	21	45	1	2	2	263	338	418	755	155	310	21	10	332	111	+3	-0	+4	+1	+5	1.3
2020	30	MLB RAW	Philadelphia Phillies	—	217	192	51	5	2	7	23	45	1	2	2	266	347	422	769	156	314	21	11	343	111	+3	-0	+4	+1	+5	1.3
2021	31	MLB MLE	Philadelphia Phillies	—	567	517	148	28	3	13	36	78	9	9	3	286	343	427	771	141	314	14	6	342	117	+12	+1	+7	+2	+12	3.4
2021	31	MLB RAW	Philadelphia Phillies	—	567	514	149	27	3	14	39	78	9	9	3	290	351	436	786	146	317	14	7	348	117	+12	+1	+7	+2	+12	3.4
2022	32	MLB MLE	2 teams	—	423	387	102	9	0	9	28	65	7	15	6	264	325	357	681	93	296	15	7	311	97	-2	+1	+4	+2	+9	1.3
2022	32	MLB RAW	2 teams	—	423	384	104	9	0	10	31	64	7	15	6	271	336	372	709	102	302	15	7	322	97	-2	+1	+4	+2	+9	1.3
2023	33	MLB MLE	Miami Marlins	—	326	302	67	5	2	3	21	47	2	6	2	222	277	281	558	60	254	14	6	260	62	-15	+0	-2	+1	+7	-0.9
2023	33	MLB RAW	Miami Marlins	—	326	301	66	5	2	3	22	47	2	6	2	219	277	279	556	60	251	14	7	256	62	-15	+0	-2	+1	+7	-0.9
2024	34	INTL MLE	2 teams	—	240	214	24	9	0	0	16	58	6	9	2	112	195	154	349	42	151	24	7	171	2	—	—	—	—	—	—
2024	34	INTL RAW	2 teams	—	240	218	55	12	0	2	12	41	6	9	2	252	309	335	644	83	298	17	5	289	2	—	—	—	—	—	—
2007	17	ROK MLE	DSL Angels	—	253	232	52	3	1	1	16	34	3	22	6	224	290	259	548	34	256	13	6	245	52	—	—	—	—	—	—
2008	18	ROK MLE	AZL Angels	—	43	38	8	0	0	0	4	7	1	1	0	211	302	211	513		243	16	9	229	41	—	—	—	—	—	—
2009	19	ROK MLE	2 teams	—	196	186	52	9	3	2	6	21	2	11	3	280	309	392	702	113	307	11	3	308	95	—	—	—	—	—	—
2010	20	A MLE	Cedar Rapids Kernels	—	581	547	157	22	10	9	27	103	2	50	10	287	331	413	744	126	331	18	5	321	103	—	—	—	—	—	—
2011	21	A+ MLE	3 teams	—	337	319	80	15	4	5	14	59	1	23	9	251	284	370	654	119	290	18	4	288	81	—	—	—	—	—	—
2012	22	AA MLE	3 teams	—	781	729	199	23	9	6	34	131	12	55	17	273	320	354	674	81	322	17	4	297	87	—	—	—	—	—	—
2013	23	MLB MLE	Milwaukee Brewers	—	623	588	174	21	10	11	24	84	6	44	13	296	330	422	751	126	326	13	4	334	112	—	—	—	—	—	—
2014	24	MLB MLE	Milwaukee Brewers	—	557	525	128	15	6	5	23	70	4	20	9	244	284	324	608	80	275	13	4	269	68	—	—	—	—	—	—
2015	25	MLB MLE	Milwaukee Brewers	—	584	562	146	17	5	6	11	93	6	25	6	260	282	340	621	80	298	16	2	275	72	—	—	—	—	—	—
2016	26	MLB MLE	Arizona Diamondbacks	—	694	639	197	37	6	20	38	101	12	33	10	308	359	479	838	171	353	15	5	368	135	—	—	—	—	—	—
2017	27	MLB MLE	Seattle Mariners	—	566	524	158	30	2	11	31	83	6	22	8	302	345	429	775	128	339	15	5	346	120	—	—	—	—	—	—
2018	28	MLB MLE	Seattle Mariners	—	632	593	179	29	3	10	30	69	4	20	11	302	342	411	754	110	327	11	5	335	113	—	—	—	—	—	—
2019	29	MLB MLE	Philadelphia Phillies	—	618	576	160	38	4	11	29	73	8	10	2	278	321	415	736	137	302	12	5	327	107	—	—	—	—	—	—
2020	30	MLB MLE	Philadelphia Phillies	—	217	193	51	5	2	7	21	45	1	2	2	264	338	420	758	155	314	21	10	332	111	—	—	—	—	—	—
2021	31	MLB MLE	Philadelphia Phillies	—	567	517	148	28	3	13	36	78	9	9	3	286	343	427	771	141	317	14	6	342	117	—	—	—	—	—	—
2022	32	MLB MLE	2 teams	—	423	385	102	9	0	9	28	65	7	15	6	265	325	358	683	94	299	15	7	311	97	—	—	—	—	—	—
2023	33	MLB MLE	Miami Marlins	—	326	300	67	5	2	3	21	47	2	6	2	223	277	283	560	60	251	14	6	260	62	—	—	—	—	—	—
2024	34	INTL MLE	2 teams	—	240	216	24	9	0	0	16	58	6	9	2	111	195	153	348	42	147	24	7	171	2	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	34	INTL MLE	2 teams	—	240	216	24	9	0	0	16	58	6	9	2	111	195	153	348	42	147	24	7	171	2	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	5937	5496	1545	237	47	110	323	824	65	211	73	281	328	401	730	120	313	14	5	324	96	+38	+13	+44	+55	+129	28.4
/ 162G	—	A+C		—	650	602	169	26	5	12	35	90	7	23	8	281	328	400	728	120	312	14	5	324	96	+4	+1	+5	+6	+14	3.1
Career	—	MLE		—	8238	7635	2082	315	70	129	409	1221	92	377	119	273	317	383	700	110	309	15	5	310	96	+38	+13	+44	+55	+129	28.4
/ 162G	—	MLE		—	650	602	165	25	6	10	32	96	7	30	9	274	318	385	703	111	311	15	5	310	96	+4	+1	+5	+6	+14	3.1

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.

2024 AAANorfolk Tides · 60 PAwOBA .218 → .171 (−46)K% 21.7% → 24.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.67%	÷1.070	×1.200	—	—	24.30%
BB% (unintentional) /PA	10.00%	÷0.987	×0.690	—	×0.940	6.57%
HBP% /PA	3.33%	—	×0.940	—	×0.940	2.95%
Singles /BIP	10.53%	÷0.962	×0.930	×0.958	×0.940	9.16%
Doubles /BIP	7.89%	÷1.006	×0.830	×0.958	×0.940	5.86%
Triples /BIP	0.00%	÷0.900	×0.970	×0.958	×0.940	0.00%
Home runs /BIP	0.00%	÷0.996	×0.700	—	×0.940	0.00%

Factors used: league row International League. Park (home-season share, regressed): HR 99, 1B 92, 2B 101, 3B 80, K 114, BB 97 — 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 ×0.958.

Result: wOBA .218 → .171; ISO .059 → .046; BABIP .179 → .147. 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).

2022 AAALehigh Valley IronPigs · 36 PAwOBA .262 → .205 (−57)K% 16.7% → 20.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.67%	÷0.970	×1.200	—	—	20.63%
BB% (unintentional) /PA	16.67%	÷1.067	×0.690	—	×0.952	10.26%
HBP% /PA	0.00%	—	×0.940	—	×0.952	0.00%
Singles /BIP	25.00%	÷1.007	×0.930	—	×0.952	21.99%
Doubles /BIP	0.00%	÷1.018	×0.830	—	×0.952	0.00%
Triples /BIP	0.00%	÷0.900	×0.970	—	×0.952	0.00%
Home runs /BIP	0.00%	÷1.039	×0.700	—	×0.952	0.00%

Factors used: league row International League. Park (home-season share, regressed): HR 108, 1B 101, 2B 104, 3B 80, K 94, BB 113 — 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).

Result: wOBA .262 → .205; ISO .000 → .000; BABIP .250 → .220. 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 AAHuntsville Stars · 451 PAwOBA .332 → .303 (−29)K% 13.5% → 17.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.53%	÷0.924	×1.220	—	—	17.86%
BB% (unintentional) /PA	5.32%	÷1.009	×0.680	—	×1.042	3.74%
HBP% /PA	2.00%	—	×0.840	—	×1.042	1.75%
Singles /BIP	28.57%	÷1.038	×0.920	×1.043	×1.042	27.51%
Doubles /BIP	3.79%	÷0.915	×0.910	×1.043	×1.042	4.09%
Triples /BIP	1.46%	÷1.150	×0.880	×1.043	×1.042	1.21%
Home runs /BIP	2.04%	÷1.277	×0.800	—	×1.042	1.33%

Factors used: league row SL. Park (home-season share, regressed): HR 155, 1B 108, 2B 83, 3B 130, K 85, BB 102 — 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 ×1.043.

Result: wOBA .332 → .303; ISO .109 → .090; BABIP .341 → .329. 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 A+Inland Empire 66ers · 202 PAwOBA .324 → .287 (−37)K% 12.9% → 17.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.87%	÷0.962	×1.340	—	—	17.92%
BB% (unintentional) /PA	5.94%	÷0.924	×0.710	—	×1.027	4.69%
HBP% /PA	0.50%	—	×0.790	—	×1.027	0.40%
Singles /BIP	22.64%	÷0.991	×0.910	×1.027	×1.027	21.92%
Doubles /BIP	5.66%	÷1.007	×0.820	×1.027	×1.027	4.86%
Triples /BIP	2.52%	÷1.129	×0.760	×1.027	×1.027	1.79%
Home runs /BIP	1.89%	÷0.932	×0.920	—	×1.027	1.91%

Factors used: league row CAL. Park (home-season share, regressed): HR 86, 1B 98, 2B 101, 3B 126, K 92, BB 85 — applied at half strength. Age: age 21 vs a level average of 22.8 → +2.7% on BB/HBP/hit rates (1.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.027.

Result: wOBA .324 → .287; ISO .141 → .119; BABIP .312 → .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).

2011 ROKAZL Angels · 30 PAwOBA .409 → .296 (−113)K% 10.0% → 14.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	10.00%	÷1.000	×1.440	—	—	14.40%
BB% (unintentional) /PA	0.00%	÷1.000	×0.620	—	×0.985	0.00%
HBP% /PA	0.00%	—	×0.720	—	×0.985	0.00%
Singles /BIP	22.22%	÷1.000	×0.820	—	×0.985	17.95%
Doubles /BIP	14.81%	÷1.000	×0.720	—	×0.985	10.51%
Triples /BIP	0.00%	÷1.000	×0.720	—	×0.985	0.00%
Home runs /BIP	3.70%	÷1.000	×0.780	—	×0.985	2.85%

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 21 vs a level average of 19.5 → −1.5% on BB/HBP/hit rates (1.5 yr older than average).

Result: wOBA .409 → .296; ISO .233 → .163; BABIP .385 → .293. 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 ACedar Rapids Kernels · 581 PAwOBA .352 → .321 (−31)K% 12.4% → 17.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.39%	÷0.952	×1.360	—	—	17.71%
BB% (unintentional) /PA	7.23%	÷1.093	×0.690	—	×1.030	4.70%
HBP% /PA	0.34%	—	×0.780	—	×1.030	0.28%
Singles /BIP	25.96%	÷0.994	×0.920	×1.044	×1.030	25.84%
Doubles /BIP	5.42%	÷0.994	×0.830	×1.044	×1.030	4.87%
Triples /BIP	2.71%	÷1.150	×0.910	×1.044	×1.030	2.31%
Home runs /BIP	2.26%	÷0.964	×0.800	—	×1.030	1.93%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 93, 1B 99, 2B 99, 3B 130, K 90, BB 119 — applied at half strength. Age: age 20 vs a level average of 22.0 → +3.0% on BB/HBP/hit rates (2.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.044.

Result: wOBA .352 → .321; ISO .151 → .133; BABIP .342 → .331. 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).

2009 ROKOrem Owlz · 177 PAwOBA .385 → .304 (−81)K% 6.2% → 8.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	6.21%	÷1.000	×1.440	—	—	8.95%
BB% (unintentional) /PA	5.65%	÷1.000	×0.610	—	×1.008	3.47%
HBP% /PA	1.13%	—	×0.720	—	×1.008	0.82%
Singles /BIP	25.83%	÷1.000	×0.820	×1.015	×1.008	21.66%
Doubles /BIP	6.62%	÷1.000	×0.720	×1.015	×1.008	4.88%
Triples /BIP	2.65%	÷1.000	×0.720	×1.015	×1.008	1.95%
Home runs /BIP	1.99%	÷1.000	×0.750	—	×1.008	1.50%

Factors used: league row PIO. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 19 vs a level average of 19.5 → +0.8% on BB/HBP/hit rates (0.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.015.

Result: wOBA .385 → .304; ISO .167 → .126; BABIP .356 → .287. 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).

2009 AAASalt Lake Bees · 19 PAwOBA .409 → .345 (−64)K% 21.1% → 27.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.05%	÷1.000	×1.290	—	—	27.16%
BB% (unintentional) /PA	0.00%	÷1.000	×0.710	—	×1.050	0.00%
HBP% /PA	0.00%	—	×0.980	—	×1.050	0.00%
Singles /BIP	40.00%	÷1.000	×0.900	—	×1.050	37.80%
Doubles /BIP	13.33%	÷1.000	×0.810	—	×1.050	11.34%
Triples /BIP	0.00%	÷1.000	×0.810	—	×1.050	0.00%
Home runs /BIP	0.00%	÷1.000	×0.780	—	×1.050	0.00%

Factors used: league row PCL. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 19 vs a level average of 27.2 → +5.0% on BB/HBP/hit rates (8.2 yr younger than average).

Result: wOBA .409 → .345; ISO .105 → .083; BABIP .533 → .491. 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 — .