Nelson Cruz

PosDH

B/TR/R

Born1980-07-01

Age (2027)47

No MLB projection yet. Career stats below are historical.

Overview

MLBLAST SEASON 2023

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2021	41	MLBTB	584	.265/.337/.497	32	3	123	1.9
2022	42	MLBWSH	507	.234/.313/.337	10	4	85	-0.3
2023	43	AAA/INTL2 orgs	33	.310/.394/.448	1	0	108	—	.312/.353/.562
2023	43	MLBSD	152	.245/.285/.399	5	1	89	-0.2
2024	44	No MLB games played
2025	45	No MLB games played
2026	46	No MLB games played

Last 3 seasons WAR 1.4

Contract

No contract data on file.

Skills · percentileStatcast 2021-2023

Avg EV90

xwOBA77

Barrel%71

Speed10

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)
2005	25	AAA	Nashville Sounds	—	246	208	56	13	0	11	30	62	8	9	4	269	382	490	872	221	333	25	12	388	87	—	—	—	—	—	—
2005	25	AA	Huntsville Stars	—	286	248	76	19	0	16	31	71	4	10	3	306	392	577	969	270	366	25	11	417	112	—	—	—	—	—	—
2006	26	MLB	Texas Rangers	—	138	130	29	3	0	6	7	32	0	1	0	223	263	385	647	162	247	23	5	285	79	-3	+0	+1	-6	+3	-0.5
2006	26	AAA	Nashville Sounds	—	423	371	112	22	1	20	42	100	6	17	6	302	382	528	910	226	361	24	10	396	95	—	—	—	—	—	—
2007	27	MLB	Texas Rangers	—	333	307	72	15	2	9	21	87	2	2	4	235	287	384	671	150	297	26	6	297	86	-6	-1	+0	-6	+7	-0.5
2007	27	AAA	Oklahoma RedHawks	—	188	162	57	9	1	15	21	34	2	1	2	352	430	698	1.128	346	365	18	11	476	141	—	—	—	—	—	—
2008	28	MLB	Texas Rangers	—	133	115	38	9	1	7	17	28	1	3	1	330	421	609	1.030	278	388	21	13	446	181	+13	+0	+1	-6	+3	1.1
2008	28	AAA	Oklahoma RedHawks	—	448	383	131	18	3	37	56	87	5	24	8	342	432	695	1.127	352	357	19	12	477	135	—	—	—	—	—	—
2009	29	MLB	Texas Rangers	—	515	462	120	21	1	33	49	118	2	20	4	260	333	524	857	264	278	23	10	372	133	+20	+2	+3	-6	+11	3.2
2010	30	MLB	Texas Rangers	—	445	399	127	31	3	22	38	81	1	17	4	318	379	576	955	258	348	18	9	409	147	+25	+2	+6	-5	+10	3.8
2010	30	AAA	Oklahoma City RedHawks	—	22	19	4	1	0	0	2	5	0	0	0	211	286	263	549	53	267	23	9	245	18	—	—	—	—	—	—
2011	31	MLB	Texas Rangers	—	513	475	125	28	1	29	33	116	2	9	5	263	314	509	823	246	288	23	6	357	118	+11	-0	-11	-5	+11	0.5
2012	32	MLB	Texas Rangers	—	642	585	152	45	0	24	48	140	5	8	4	260	321	460	781	200	301	22	7	343	108	+6	+0	-11	-7	+14	0.1
2012	32	INTL	Gigantes del Cibao	—	48	42	12	2	0	1	6	8	0	1	0	286	375	405	780	119	333	17	12	354	126	—	—	—	—	—	—
2013	33	MLB	Texas Rangers	—	456	413	110	18	0	27	35	109	4	5	1	266	330	506	836	240	295	24	8	363	121	+11	+1	-6	-5	+10	1.1
2014	34	MLB	Baltimore Orioles	—	678	613	166	32	2	40	55	140	5	4	5	271	336	525	861	254	288	21	8	373	125	+20	-1	+1	-7	+15	2.7
2015	35	MLB	Seattle Mariners	—	655	590	178	22	1	44	59	164	5	3	2	302	370	566	936	264	350	25	9	407	159	+46	-0	-7	-7	+14	4.6
2016	36	MLB	Seattle Mariners	—	667	589	169	27	1	43	62	159	9	2	0	287	364	555	919	268	320	24	9	396	154	+43	+0	-2	-7	+14	4.9
2017	37	MLB	Seattle Mariners	—	645	556	160	28	0	39	70	140	12	1	1	288	379	549	928	261	315	22	11	401	156	+43	-0	-1	-7	+14	5.0
2018	38	MLB	Seattle Mariners	—	591	519	133	18	1	37	55	122	14	1	0	256	344	509	852	252	264	21	9	372	137	+26	+0	+0	-6	+13	3.4
2019	39	MLB	Minnesota Twins	—	521	454	141	26	0	41	56	131	7	0	1	311	394	639	1.033	328	351	25	11	441	177	+48	-0	+0	-6	+11	5.4
2020	40	MLB	Minnesota Twins	—	214	185	56	6	0	16	25	58	4	0	0	303	397	595	992	292	360	27	12	431	166	+17	+0	+0	-2	+5	2.0
2021	41	MLB	Tampa Bay Rays	—	584	513	136	21	1	32	51	126	7	3	0	265	337	497	834	232	286	22	9	360	123	+16	+1	+0	-10	+13	1.9
2022	42	MLB	Washington Nationals	—	507	448	105	16	0	10	49	119	4	4	0	234	313	337	651	103	295	23	10	296	85	-9	+1	+0	-5	+11	-0.3
2023	43	MLB	San Diego Padres	—	152	143	35	5	1	5	6	46	2	1	0	245	285	399	683	154	323	30	4	301	89	-2	+0	-0	-3	+3	-0.2
2023	43	AAA	El Paso Chihuahuas	—	17	16	5	1	0	1	0	3	1	0	0	312	353	562	915	250	333	18	0	401	89	—	—	—	—	—	—
2023	43	INTL	Gigantes del Cibao	—	16	13	4	0	0	0	2	3	1	0	0	308	438	308	745		400	19	12	359	129	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	8389	7496	2052	371	15	464	736	1916	86	84	32	274	345	513	858	239	307	23	9	373	139	+386	+4	-27	-108	+182	44.6
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2005	25	AAA MLE	Nashville Sounds	—	246	218	45	10	0	8	20	80	8	9	4	206	297	362	659	156	283	33	8	297	87	—	—	—	—	—	—
2005	25	AA MLE	Huntsville Stars	—	286	258	65	16	0	13	21	87	4	10	3	252	318	465	783	213	316	30	7	333	112	—	—	—	—	—	—
2006	26	MLB MLE	Texas Rangers	—	138	130	29	3	0	6	7	32	0	1	0	223	263	385	647	162	247	23	5	285	79	-3	+0	+1	-6	+3	-0.5
2006	26	AAA MLE	Nashville Sounds	—	423	384	92	17	1	15	29	129	6	17	6	240	303	406	709	167	308	30	7	308	95	—	—	—	—	—	—
2007	27	MLB MLE	Texas Rangers	—	333	309	72	15	2	9	20	87	2	2	4	233	284	382	666	149	297	26	6	295	86	-6	-1	+0	-6	+7	-0.5
2007	27	AAA MLE	Oklahoma RedHawks	—	188	170	48	7	1	12	14	44	2	1	2	282	344	547	891	265	306	23	7	377	141	—	—	—	—	—	—
2008	28	MLB MLE	Texas Rangers	—	133	117	38	9	1	7	15	28	1	3	1	325	406	598	1.004	274	388	21	11	436	181	+13	+0	+1	-6	+3	1.1
2008	28	AAA MLE	Oklahoma RedHawks	—	448	402	106	14	2	28	37	112	5	24	8	264	333	517	851	254	291	25	8	367	135	—	—	—	—	—	—
2009	29	MLB MLE	Texas Rangers	—	515	468	120	21	1	33	43	118	2	20	4	256	322	517	839	261	278	23	8	364	133	+20	+2	+3	-6	+11	3.2
2010	30	MLB MLE	Texas Rangers	—	445	404	124	29	3	21	33	81	1	17	4	307	361	550	910	243	348	18	7	386	147	+25	+2	+6	-5	+10	3.8
2010	30	AAA MLE	Oklahoma City RedHawks	—	22	20	3	1	0	0	1	7	0	0	0	150	190	200	390	50	216	32	5	195	18	—	—	—	—	—	—
2011	31	MLB MLE	Texas Rangers	—	513	476	122	26	1	28	32	116	2	9	5	256	306	492	797	235	288	23	6	342	118	+11	-0	-11	-5	+11	0.5
2012	32	MLB MLE	Texas Rangers	—	642	587	148	42	0	23	46	140	5	8	4	252	312	441	753	189	301	22	7	327	108	+6	+0	-11	-7	+14	0.1
2013	33	MLB MLE	Texas Rangers	—	456	415	108	17	0	26	33	109	4	5	1	260	321	489	810	229	295	24	7	347	121	+11	+1	-6	-5	+10	1.1
2014	34	MLB MLE	Baltimore Orioles	—	678	621	162	33	2	36	47	140	5	4	5	261	318	494	812	233	288	21	7	353	125	+20	-1	+1	-7	+15	2.7
2015	35	MLB MLE	Seattle Mariners	—	655	599	180	22	1	45	50	164	5	3	2	301	359	566	925	265	350	25	8	403	159	+46	-0	-7	-7	+14	4.6
2016	36	MLB MLE	Seattle Mariners	—	667	594	170	27	1	44	57	159	9	2	0	286	358	557	915	271	320	24	9	396	154	+43	+0	-2	-7	+14	4.9
2017	37	MLB MLE	Seattle Mariners	—	645	563	161	28	0	40	63	140	12	1	1	286	370	549	919	263	315	22	10	399	156	+43	-0	-1	-7	+14	5.0
2018	38	MLB MLE	Seattle Mariners	—	591	524	134	18	1	38	50	122	14	1	0	256	337	511	848	256	264	21	8	371	137	+26	+0	+0	-6	+13	3.4
2019	39	MLB MLE	Minnesota Twins	—	521	463	141	26	0	41	48	131	7	0	1	305	378	626	1.005	322	351	25	9	430	177	+48	-0	+0	-6	+11	5.4
2020	40	MLB MLE	Minnesota Twins	—	214	190	56	6	0	16	20	58	4	0	0	295	374	579	953	284	360	27	9	413	166	+17	+0	+0	-2	+5	2.0
2021	41	MLB MLE	Tampa Bay Rays	—	584	527	135	21	1	33	41	126	7	3	0	256	318	488	806	231	286	22	7	349	123	+16	+1	+0	-10	+13	1.9
2022	42	MLB MLE	Washington Nationals	—	507	452	105	16	0	10	48	119	4	4	0	232	312	334	646	102	295	23	9	294	85	-9	+1	+0	-5	+11	-0.3
2023	43	MLB MLE	San Diego Padres	—	152	144	35	5	1	5	5	46	2	1	0	243	278	396	674	153	323	30	3	299	89	-2	+0	-0	-3	+3	-0.2
2023	43	AAA MLE	El Paso Chihuahuas	—	17	16	5	1	0	1	0	4	1	0	0	312	353	562	915	250	286	24	0	300	89	—	—	—	—	—	—
2005	25	AA MLE	2 teams	—	532	475	110	26	0	21	42	167	12	19	7	232	310	419	729	187	307	31	8	316	100	—	—	—	—	—	—
2005	25	AA RAW	2 teams	—	532	456	132	32	0	27	61	133	12	19	7	289	388	537	925	248	351	25	11	404	100	—	—	—	—	—	—
2006	26	AAA MLE	2 teams	—	561	514	121	20	1	21	36	161	6	18	6	235	293	401	694	165	297	29	6	302	91	—	—	—	—	—	—
2006	26	AAA RAW	2 teams	—	561	501	141	25	1	26	49	132	6	18	6	281	353	491	844	210	330	24	9	369	91	—	—	—	—	—	—
2007	27	MLB MLE	2 teams	—	521	479	120	22	3	21	34	131	4	3	6	251	306	441	746	190	300	25	7	325	106	+4	-2	+0	-6	+11	0.8
2007	27	MLB RAW	2 teams	—	521	469	129	24	3	24	42	121	4	3	6	275	338	493	831	217	321	23	8	362	106	+4	-2	+0	-6	+11	0.8
2008	28	AAA MLE	2 teams	—	581	519	144	23	3	35	52	140	6	27	9	277	350	536	886	258	313	24	9	383	145	—	—	—	—	—	—
2008	28	AAA RAW	2 teams	—	581	498	169	27	4	44	73	115	6	27	9	339	430	675	1.105	335	364	20	13	470	145	—	—	—	—	—	—
2009	29	MLB MLE	Texas Rangers	—	515	468	120	21	1	33	43	118	2	20	4	256	322	517	839	261	273	23	8	364	133	+20	+2	+3	-6	+11	3.2
2009	29	MLB RAW	Texas Rangers	—	515	462	120	21	1	33	49	118	2	20	4	260	333	524	857	264	278	23	10	372	133	+20	+2	+3	-6	+11	3.2
2010	30	MLB MLE	2 teams	—	467	424	127	30	3	21	34	88	1	17	4	300	353	533	886	233	329	19	7	377	141	+23	+2	+6	-5	+10	3.6
2010	30	MLB RAW	2 teams	—	467	418	131	32	3	22	40	86	1	17	4	313	375	562	937	249	344	18	9	401	141	+23	+2	+6	-5	+10	3.6
2011	31	MLB MLE	Texas Rangers	—	513	476	122	26	1	28	32	116	2	9	5	256	306	492	797	235	281	23	6	342	118	+11	-0	-11	-5	+11	0.5
2011	31	MLB RAW	Texas Rangers	—	513	475	125	28	1	29	33	116	2	9	5	263	314	509	823	246	288	23	6	357	118	+11	-0	-11	-5	+11	0.5
2012	32	MLB MLE	2 teams	—	690	632	159	45	0	25	49	150	5	9	4	252	310	441	752	190	291	22	7	327	108	+6	+0	-11	-7	+15	0.3
2012	32	MLB RAW	2 teams	—	690	627	164	47	0	25	54	148	5	9	4	262	325	456	781	195	303	21	8	343	108	+6	+0	-11	-7	+15	0.3
2013	33	MLB MLE	Texas Rangers	—	456	415	108	17	0	26	33	109	4	5	1	260	321	489	810	229	289	24	7	347	121	+11	+1	-6	-5	+10	1.1
2013	33	MLB RAW	Texas Rangers	—	456	413	110	18	0	27	35	109	4	5	1	266	330	506	836	240	295	24	8	363	121	+11	+1	-6	-5	+10	1.1
2014	34	MLB MLE	Baltimore Orioles	—	678	621	162	33	2	36	47	140	5	4	5	261	318	494	812	233	280	21	7	353	125	+20	-1	+1	-7	+15	2.7
2014	34	MLB RAW	Baltimore Orioles	—	678	613	166	32	2	40	55	140	5	4	5	271	336	525	861	254	288	21	8	373	125	+20	-1	+1	-7	+15	2.7
2015	35	MLB MLE	Seattle Mariners	—	655	599	180	22	1	45	50	164	5	3	2	301	359	566	925	265	345	25	8	403	159	+46	-0	-7	-7	+14	4.6
2015	35	MLB RAW	Seattle Mariners	—	655	590	178	22	1	44	59	164	5	3	2	302	370	566	936	264	350	25	9	407	159	+46	-0	-7	-7	+14	4.6
2016	36	MLB MLE	Seattle Mariners	—	667	594	170	27	1	44	57	159	9	2	0	286	358	557	915	271	317	24	9	396	154	+43	+0	-2	-7	+14	4.9
2016	36	MLB RAW	Seattle Mariners	—	667	589	169	27	1	43	62	159	9	2	0	287	364	555	919	268	320	24	9	396	154	+43	+0	-2	-7	+14	4.9
2017	37	MLB MLE	Seattle Mariners	—	645	563	161	28	0	40	63	140	12	1	1	286	370	549	919	263	310	22	10	399	156	+43	-0	-1	-7	+14	5.0
2017	37	MLB RAW	Seattle Mariners	—	645	556	160	28	0	39	70	140	12	1	1	288	379	549	928	261	315	22	11	401	156	+43	-0	-1	-7	+14	5.0
2018	38	MLB MLE	Seattle Mariners	—	591	524	134	18	1	38	50	122	14	1	0	256	337	511	848	256	262	21	8	371	137	+26	+0	+0	-6	+13	3.4
2018	38	MLB RAW	Seattle Mariners	—	591	519	133	18	1	37	55	122	14	1	0	256	344	509	852	252	264	21	9	372	137	+26	+0	+0	-6	+13	3.4
2019	39	MLB MLE	Minnesota Twins	—	521	463	141	26	0	41	48	131	7	0	1	305	378	626	1.005	322	340	25	9	430	177	+48	-0	+0	-6	+11	5.4
2019	39	MLB RAW	Minnesota Twins	—	521	454	141	26	0	41	56	131	7	0	1	311	394	639	1.033	328	351	25	11	441	177	+48	-0	+0	-6	+11	5.4
2020	40	MLB MLE	Minnesota Twins	—	214	190	56	6	0	16	20	58	4	0	0	295	374	579	953	284	345	27	9	413	166	+17	+0	+0	-2	+5	2.0
2020	40	MLB RAW	Minnesota Twins	—	214	185	56	6	0	16	25	58	4	0	0	303	397	595	992	292	360	27	12	431	166	+17	+0	+0	-2	+5	2.0
2021	41	MLB MLE	Tampa Bay Rays	—	584	527	135	21	1	33	41	126	7	3	0	256	318	488	806	231	271	22	7	349	123	+16	+1	+0	-10	+13	1.9
2021	41	MLB RAW	Tampa Bay Rays	—	584	513	136	21	1	32	51	126	7	3	0	265	337	497	834	232	286	22	9	360	123	+16	+1	+0	-10	+13	1.9
2022	42	MLB MLE	Washington Nationals	—	507	452	105	16	0	10	48	119	4	4	0	232	312	334	646	102	291	23	9	294	85	-9	+1	+0	-5	+11	-0.3
2022	42	MLB RAW	Washington Nationals	—	507	448	105	16	0	10	49	119	4	4	0	234	313	337	651	103	295	23	10	296	85	-9	+1	+0	-5	+11	-0.3
2023	43	MLB MLE	3 teams	—	185	175	43	7	1	6	5	54	4	1	0	246	283	400	683	154	319	29	3	299	89	-2	+0	-0	-3	+4	-0.2
2023	43	MLB RAW	3 teams	—	185	172	44	6	1	6	8	52	4	1	0	256	304	407	711	151	330	28	4	316	89	-2	+0	-0	-3	+4	-0.2
2005	25	AA MLE	2 teams	—	532	473	110	26	0	21	42	167	12	19	7	233	310	421	731	188	301	31	8	316	100	—	—	—	—	—	—
2006	26	AAA MLE	2 teams	—	561	514	121	20	1	21	36	161	6	18	6	235	293	401	694	165	293	29	6	302	91	—	—	—	—	—	—
2007	27	MLB MLE	2 teams	—	521	478	120	22	3	21	34	131	4	3	6	251	306	441	747	190	300	25	7	325	106	—	—	—	—	—	—
2008	28	AAA MLE	2 teams	—	581	518	144	23	3	35	52	140	6	27	9	278	350	537	887	259	313	24	9	383	145	—	—	—	—	—	—
2009	29	MLB MLE	Texas Rangers	—	515	465	120	21	1	33	43	118	2	20	4	258	322	520	842	262	278	23	8	364	133	—	—	—	—	—	—
2010	30	MLB MLE	2 teams	—	467	429	127	30	3	21	34	88	1	17	4	296	353	527	880	231	341	19	7	377	141	—	—	—	—	—	—
2011	31	MLB MLE	Texas Rangers	—	513	474	122	26	1	28	32	116	2	9	5	257	306	494	800	236	288	23	6	342	118	—	—	—	—	—	—
2012	32	MLB MLE	2 teams	—	690	631	159	45	0	25	49	150	5	9	4	252	310	442	753	190	301	22	7	327	108	—	—	—	—	—	—
2013	33	MLB MLE	Texas Rangers	—	456	416	108	17	0	26	33	109	4	5	1	260	321	488	809	228	295	24	7	347	121	—	—	—	—	—	—
2014	34	MLB MLE	Baltimore Orioles	—	678	621	162	33	2	36	47	140	5	4	5	261	318	494	812	233	288	21	7	353	125	—	—	—	—	—	—
2015	35	MLB MLE	Seattle Mariners	—	655	595	180	22	1	45	50	164	5	3	2	303	359	570	929	267	350	25	8	403	159	—	—	—	—	—	—
2016	36	MLB MLE	Seattle Mariners	—	667	596	170	27	1	44	57	159	9	2	0	285	358	555	913	270	320	24	9	396	154	—	—	—	—	—	—
2017	37	MLB MLE	Seattle Mariners	—	645	565	161	28	0	40	63	140	12	1	1	285	370	547	917	262	315	22	10	399	156	—	—	—	—	—	—
2018	38	MLB MLE	Seattle Mariners	—	591	522	134	18	1	38	50	122	14	1	0	257	337	513	850	257	264	21	8	371	137	—	—	—	—	—	—
2019	39	MLB MLE	Minnesota Twins	—	521	461	141	26	0	41	48	131	7	0	1	306	378	629	1.007	323	351	25	9	430	177	—	—	—	—	—	—
2020	40	MLB MLE	Minnesota Twins	—	214	188	56	6	0	16	20	58	4	0	0	298	374	585	959	287	360	27	9	413	166	—	—	—	—	—	—
2021	41	MLB MLE	Tampa Bay Rays	—	584	531	135	21	1	33	41	126	7	3	0	254	318	484	802	230	286	22	7	349	123	—	—	—	—	—	—
2022	42	MLB MLE	Washington Nationals	—	507	450	105	16	0	10	48	119	4	4	0	233	312	336	647	102	295	23	9	294	85	—	—	—	—	—	—
2023	43	MLB MLE	3 teams	—	185	174	43	7	1	6	5	54	4	1	0	247	283	402	685	155	319	29	3	299	89	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	8389	7496	2052	371	15	464	736	1916	86	84	32	274	345	513	858	239	307	23	9	373	129	+386	+4	-27	-108	+182	44.6
/ 162G	—	A+C		—	650	581	159	29	1	36	57	148	7	7	2	274	346	513	859	239	306	23	9	373	129	+30	+0	-2	-8	+14	3.5
Career	—	MLE		—	10083	9110	2418	434	19	540	784	2393	113	146	55	265	331	495	826	230	300	24	8	359	129	+386	+4	-27	-108	+182	44.6
/ 162G	—	MLE		—	650	587	156	28	1	35	51	154	7	9	4	266	332	496	828	230	300	24	8	359	129	+30	+0	-2	-8	+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.

2023 AAAEl Paso Chihuahuas · 17 PAwOBA .389 → .300 (−89)K% 17.6% → 21.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.65%	÷0.985	×1.200	—	—	21.51%
BB% (unintentional) /PA	0.00%	÷0.963	×0.690	—	×0.940	0.00%
HBP% /PA	5.88%	—	×0.940	—	×0.940	5.20%
Singles /BIP	23.08%	÷0.958	×0.930	—	×0.940	21.05%
Doubles /BIP	7.69%	÷0.975	×0.830	—	×0.940	6.15%
Triples /BIP	0.00%	÷1.150	×0.970	—	×0.940	0.00%
Home runs /BIP	7.69%	÷1.052	×0.700	—	×0.940	4.81%

Factors used: league row International League. Park (home-season share, regressed): HR 110, 1B 92, 2B 95, 3B 130, K 97, BB 93 — applied at half strength. Age: age 43 vs a level average of 27.2 → −6.0% on BB/HBP/hit rates (15.8 yr older than average).

Result: wOBA .389 → .300; ISO .250 → .160; BABIP .333 → .286. 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 AAAOklahoma City RedHawks · 22 PAwOBA .251 → .195 (−56)K% 22.7% → 30.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.73%	÷0.974	×1.290	—	—	30.09%
BB% (unintentional) /PA	9.09%	÷1.015	×0.710	—	×0.972	6.18%
HBP% /PA	0.00%	—	×0.980	—	×0.972	0.00%
Singles /BIP	21.43%	÷1.070	×0.900	—	×0.972	17.52%
Doubles /BIP	7.14%	÷0.996	×0.810	—	×0.972	5.65%
Triples /BIP	0.00%	÷1.150	×0.810	—	×0.972	0.00%
Home runs /BIP	0.00%	÷0.936	×0.780	—	×0.972	0.00%

Factors used: league row PCL. Park (home-season share, regressed): HR 87, 1B 114, 2B 99, 3B 130, K 95, BB 103 — 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 .251 → .195; ISO .053 → .042; BABIP .267 → .216. 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).

2008 AAAOklahoma RedHawks · 448 PAwOBA .466 → .367 (−98)K% 19.4% → 25.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.42%	÷1.000	×1.290	—	—	25.05%
BB% (unintentional) /PA	11.61%	÷1.000	×0.710	—	×0.992	8.18%
HBP% /PA	1.12%	—	×0.980	—	×0.992	1.08%
Singles /BIP	24.66%	÷1.000	×0.900	×0.964	×0.992	21.23%
Doubles /BIP	6.08%	÷1.000	×0.810	×0.964	×0.992	4.71%
Triples /BIP	1.01%	÷1.000	×0.810	×0.964	×0.992	0.79%
Home runs /BIP	12.50%	÷1.000	×0.780	—	×0.992	9.67%

Factors used: league row PCL. Park (home-season share, regressed): no park row on file (treated as neutral) — 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 ×0.964.

Result: wOBA .466 → .367; ISO .352 → .271; BABIP .357 → .291. 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).

2007 AAAOklahoma RedHawks · 188 PAwOBA .466 → .377 (−89)K% 18.1% → 23.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.09%	÷1.000	×1.290	—	—	23.33%
BB% (unintentional) /PA	10.64%	÷1.000	×0.710	—	×1.003	7.58%
HBP% /PA	1.06%	—	×0.980	—	×1.003	1.05%
Singles /BIP	25.00%	÷1.000	×0.900	×0.978	×1.003	22.07%
Doubles /BIP	7.03%	÷1.000	×0.810	×0.978	×1.003	5.59%
Triples /BIP	0.78%	÷1.000	×0.810	×0.978	×1.003	0.62%
Home runs /BIP	11.72%	÷1.000	×0.780	—	×1.003	9.17%

Factors used: league row PCL. Park (home-season share, regressed): no park row on file (treated as neutral) — 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 ×0.978.

Result: wOBA .466 → .377; ISO .346 → .271; BABIP .365 → .306. 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).

2006 AAANashville Sounds · 423 PAwOBA .388 → .308 (−80)K% 23.6% → 30.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.64%	÷1.000	×1.290	—	—	30.50%
BB% (unintentional) /PA	9.46%	÷1.000	×0.710	—	×1.018	6.83%
HBP% /PA	1.42%	—	×0.980	—	×1.018	1.42%
Singles /BIP	25.46%	÷1.000	×0.900	×0.971	×1.018	22.65%
Doubles /BIP	8.12%	÷1.000	×0.810	×0.971	×1.018	6.50%
Triples /BIP	0.37%	÷1.000	×0.810	×0.971	×1.018	0.30%
Home runs /BIP	7.38%	÷1.000	×0.780	—	×1.018	5.86%

Factors used: league row PCL. Park (home-season share, regressed): no park row on file (treated as neutral) — 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 ×0.971.

Result: wOBA .388 → .308; ISO .226 → .172; BABIP .361 → .308. 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).

2005 AAHuntsville Stars · 286 PAwOBA .410 → .333 (−77)K% 24.8% → 30.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.83%	÷1.000	×1.220	—	—	30.29%
BB% (unintentional) /PA	10.84%	÷1.000	×0.680	—	×0.998	7.36%
HBP% /PA	1.40%	—	×0.840	—	×0.998	1.17%
Singles /BIP	23.16%	÷1.000	×0.920	×0.964	×0.998	20.50%
Doubles /BIP	10.73%	÷1.000	×0.910	×0.964	×0.998	9.39%
Triples /BIP	0.00%	÷1.000	×0.880	×0.964	×0.998	0.00%
Home runs /BIP	9.04%	÷1.000	×0.800	—	×0.998	7.22%

Factors used: league row SL. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 25 vs a level average of 24.8 → −0.2% on BB/HBP/hit rates (0.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.964.

Result: wOBA .410 → .333; ISO .270 → .219; BABIP .366 → .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).

2005 AAANashville Sounds · 246 PAwOBA .375 → .297 (−78)K% 25.2% → 32.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.20%	÷1.000	×1.290	—	—	32.51%
BB% (unintentional) /PA	11.38%	÷1.000	×0.710	—	×1.033	8.35%
HBP% /PA	3.25%	—	×0.980	—	×1.033	3.29%
Singles /BIP	21.92%	÷1.000	×0.900	×0.955	×1.033	19.46%
Doubles /BIP	8.90%	÷1.000	×0.810	×0.955	×1.033	7.12%
Triples /BIP	0.00%	÷1.000	×0.810	×0.955	×1.033	0.00%
Home runs /BIP	7.53%	÷1.000	×0.780	—	×1.033	6.07%

Factors used: league row PCL. Park (home-season share, regressed): no park row on file (treated as neutral) — 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 ×0.955.

Result: wOBA .375 → .297; ISO .221 → .167; BABIP .333 → .283. 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 — .