Eduardo Núñez

PosSS

B/TR/R

Born1987-06-15

Age (2027)40

No MLB projection yet. Career stats below are historical.

Overview

MLBLAST SEASON 2019

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR
2017	30	MLBBOS	491	.313/.342/.460	12	24	118	1.6
2018	31	MLBBOS	502	.265/.291/.388	10	7	84	0.1
2019	32	MLBBOS	174	.228/.246/.305	2	5	45	-0.6
2020	33	No MLB games played
2021	34	No MLB games played
2022	35	No MLB games played
2023	36	No MLB games played
2024	37	No MLB games played
2025	38	No MLB games played
2026	39	No MLB games played

Last 3 seasons WAR 1.0

Contract

No contract data on file.

Skills · percentileStatcast 2018-2020

Speed66

Avg EV34

xwOBA18

Barrel%10

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)
2006	19	A+	Tampa Yankees	—	161	147	27	5	3	4	8	28	0	6	1	184	226	340	566	156	197	17	5	241	34	—	—	—	—	—	—
2006	19	A	Charleston RiverDogs	—	371	344	78	11	3	2	23	48	2	16	5	227	279	294	573	67	257	13	6	261	40	—	—	—	—	—	—
2007	20	A+	Tampa Yankees	—	134	123	35	5	0	1	7	18	3	9	0	285	338	350	688	65	324	13	5	312	75	—	—	—	—	—	—
2007	20	A	Charleston RiverDogs	—	360	328	78	10	2	1	25	42	2	20	8	238	296	290	585	52	267	12	7	266	48	—	—	—	—	—	—
2008	21	A+	Tampa Yankees	—	402	373	101	18	3	6	19	48	1	14	10	271	308	383	691	113	294	12	5	302	68	—	—	—	—	—	—
2009	22	AA	Trenton Thunder	—	528	497	160	26	1	9	22	63	1	19	7	322	352	433	785	111	352	12	4	345	107	—	—	—	—	—	—
2010	23	MLB	New York Yankees	—	53	50	14	1	0	1	3	2	0	5	0	280	321	360	681	80	277	4	6	308	93	-0	+1	-2	+2	+1	0.1
2010	23	AAA	Scranton/Wilkes-Barre Yankees	—	506	464	134	25	3	4	32	60	5	23	5	289	341	381	723	93	323	12	6	323	78	—	—	—	—	—	—
2010	23	INTL	Toros del Este	—	24	23	8	1	0	0	0	2	0	0	1	348	348	391	739	43	364	8	0	317	101	—	—	—	—	—	—
2011	24	MLB	New York Yankees	—	338	309	82	18	2	5	22	37	0	22	6	265	314	385	699	120	287	11	7	307	90	-4	+2	-14	+4	+7	-0.5
2012	25	MLB	New York Yankees	—	100	89	26	4	1	1	6	12	1	11	2	292	344	393	737	101	312	12	6	319	101	+0	+1	-0	+3	+2	0.7
2012	25	AAA	Scranton/Wilkes-Barre Yankees	—	172	163	37	4	0	2	7	28	0	16	3	227	259	288	547	61	259	16	4	246	33	—	—	—	—	—	—
2012	25	INTL	Toros del Este	—	52	51	14	2	0	0	0	5	0	1	0	275	275	314	588	39	304	10	0	258	61	—	—	—	—	—	—
2013	26	MLB	New York Yankees	—	336	304	79	17	4	3	20	51	3	10	3	260	312	372	684	112	298	15	6	299	87	-5	+1	-10	+4	+7	-0.3
2013	26	INTL	Toros del Este	—	20	20	3	0	0	0	0	2	0	0	0	150	150	150	300		167	10	0	136	-22	—	—	—	—	—	—
2014	27	MLB	Minnesota Twins	—	213	204	51	7	4	4	5	31	1	9	3	250	271	382	654	132	278	15	2	284	78	-5	+1	-2	+3	+5	0.1
2014	27	AAA	Rochester Red Wings	—	41	39	11	1	0	1	1	8	0	1	0	282	300	385	685	103	323	20	2	298	59	—	—	—	—	—	—
2015	28	MLB	Minnesota Twins	—	204	188	53	14	1	4	12	29	1	8	4	282	328	431	759	149	314	14	6	332	111	+3	+0	+4	+2	+4	1.3
2015	28	INTL	Toros del Este	—	29	25	9	1	0	0	2	3	1	0	1	360	429	400	829	40	409	10	7	367	135	—	—	—	—	—	—
2016	29	MLB	San Francisco Giants	—	595	553	159	24	4	16	29	88	5	40	10	288	329	432	761	145	314	15	5	334	114	+10	+4	-1	+2	+13	2.9
2017	30	MLB	Boston Red Sox	—	491	467	146	33	0	12	18	54	3	24	7	313	342	460	803	148	333	11	4	353	118	+10	+2	-10	+2	+11	1.6
2018	31	MLB	Boston Red Sox	—	502	480	127	23	3	10	16	69	2	7	2	265	291	388	679	123	290	14	3	299	84	-10	+1	-3	+2	+11	0.1
2019	32	MLB	Boston Red Sox	—	174	167	38	7	0	2	4	27	0	5	1	228	246	305	551	78	257	16	2	242	45	-11	+1	+0	+1	+4	-0.6
2019	32	AAA	Pawtucket Red Sox	—	15	15	2	0	0	1	0	1	0	0	0	133	133	333	467	200	77	7	0	199	-9	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	3006	2811	775	148	19	58	135	400	16	141	38	276	313	404	716	128	302	13	4	314	99	-4	+13	-37	+25	+65	6.3
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2006	19	A+ MLE	Tampa Yankees	—	161	149	27	5	3	4	6	40	0	6	1	181	213	336	548	154	198	25	4	219	34	—	—	—	—	—	—
2006	19	A MLE	Charleston RiverDogs	—	371	352	73	9	3	2	15	64	2	16	5	207	244	267	511	60	246	17	4	227	40	—	—	—	—	—	—
2007	20	A+ MLE	Tampa Yankees	—	134	125	33	5	0	1	5	26	3	9	0	264	308	328	636	64	314	19	4	279	75	—	—	—	—	—	—
2007	20	A MLE	Charleston RiverDogs	—	360	336	76	9	2	1	17	56	2	20	8	226	268	274	541	48	262	16	5	239	48	—	—	—	—	—	—
2008	21	A+ MLE	Tampa Yankees	—	402	378	93	17	2	5	14	68	1	14	10	246	275	341	616	95	279	17	3	269	68	—	—	—	—	—	—
2009	22	AA MLE	Trenton Thunder	—	528	505	161	24	1	7	14	77	1	19	7	319	338	412	750	93	355	15	3	326	107	—	—	—	—	—	—
2010	23	MLB MLE	New York Yankees	—	53	50	14	1	0	1	3	2	0	5	0	280	321	360	681	80	277	4	6	306	93	-0	+1	-2	+2	+1	0.1
2010	23	AAA MLE	Scranton/Wilkes-Barre Yankees	—	506	473	125	21	3	3	23	74	5	23	5	264	305	340	646	76	303	15	5	283	78	—	—	—	—	—	—
2011	24	MLB MLE	New York Yankees	—	338	311	82	18	2	5	20	37	0	22	6	264	308	383	691	119	287	11	6	301	90	-4	+2	-14	+4	+7	-0.5
2012	25	MLB MLE	New York Yankees	—	100	89	26	4	1	1	6	12	1	11	2	292	344	393	737	101	312	12	6	318	101	+0	+1	-0	+3	+2	0.7
2012	25	AAA MLE	Scranton/Wilkes-Barre Yankees	—	172	166	35	3	0	2	4	34	0	16	3	211	229	265	494	54	245	20	2	217	33	—	—	—	—	—	—
2013	26	MLB MLE	New York Yankees	—	336	305	79	17	4	3	19	51	3	10	3	259	309	370	679	111	298	15	6	296	87	-5	+1	-10	+4	+7	-0.3
2014	27	MLB MLE	Minnesota Twins	—	213	204	51	7	4	4	5	31	1	9	3	250	271	382	654	132	278	15	2	284	78	-5	+1	-2	+3	+5	0.1
2014	27	AAA MLE	Rochester Red Wings	—	41	39	10	1	0	1	1	10	0	1	0	256	275	359	634	103	291	24	2	256	59	—	—	—	—	—	—
2015	28	MLB MLE	Minnesota Twins	—	204	188	53	14	1	4	12	29	1	8	4	282	328	431	759	149	314	14	6	332	111	+3	+0	+4	+2	+4	1.3
2016	29	MLB MLE	San Francisco Giants	—	595	556	162	24	4	17	26	88	5	40	10	291	329	441	769	149	314	15	4	337	114	+10	+4	-1	+2	+13	2.9
2017	30	MLB MLE	Boston Red Sox	—	491	467	141	29	0	12	18	54	3	24	7	302	332	441	773	139	333	11	4	342	118	+10	+2	-10	+2	+11	1.6
2018	31	MLB MLE	Boston Red Sox	—	502	480	123	20	3	10	16	69	2	7	2	256	283	373	656	117	290	14	3	292	84	-10	+1	-3	+2	+11	0.1
2019	32	MLB MLE	Boston Red Sox	—	174	167	37	6	0	2	4	27	0	5	1	222	240	293	533	72	257	16	2	235	45	-11	+1	+0	+1	+4	-0.6
2019	32	AAA MLE	Pawtucket Red Sox	—	15	15	2	0	0	1	0	1	0	0	0	133	133	333	467	200	70	7	0	155	-9	—	—	—	—	—	—
2006	19	A MLE	2 teams	—	532	501	99	14	6	5	21	104	2	22	6	198	233	279	512	82	237	20	4	225	38	—	—	—	—	—	—
2006	19	A RAW	2 teams	—	532	491	105	16	6	6	31	76	2	22	6	214	263	308	571	94	240	14	6	255	38	—	—	—	—	—	—
2007	20	A MLE	2 teams	—	494	461	109	14	2	2	22	82	5	29	8	236	279	289	567	52	281	17	4	250	55	—	—	—	—	—	—
2007	20	A RAW	2 teams	—	494	451	113	15	2	2	32	60	5	29	8	251	307	306	613	55	282	12	6	279	55	—	—	—	—	—	—
2008	21	A+ MLE	Tampa Yankees	—	402	378	93	17	2	5	14	68	1	14	10	246	275	341	616	95	285	17	3	269	68	—	—	—	—	—	—
2008	21	A+ RAW	Tampa Yankees	—	402	373	101	18	3	6	19	48	1	14	10	271	308	383	691	113	294	12	5	302	68	—	—	—	—	—	—
2009	22	AA MLE	Trenton Thunder	—	528	505	161	24	1	7	14	77	1	19	7	319	338	412	750	93	362	15	3	326	107	—	—	—	—	—	—
2009	22	AA RAW	Trenton Thunder	—	528	497	160	26	1	9	22	63	1	19	7	322	352	433	785	111	352	12	4	345	107	—	—	—	—	—	—
2010	23	AAA MLE	3 teams	—	583	545	145	23	3	4	27	80	5	28	6	266	307	341	648	75	304	14	5	285	79	—	—	—	—	—	—
2010	23	AAA RAW	3 teams	—	583	537	156	27	3	5	35	64	5	28	6	291	340	380	720	89	321	11	6	322	79	—	—	—	—	—	—
2011	24	MLB MLE	New York Yankees	—	338	311	82	18	2	5	20	37	0	22	6	264	308	383	691	119	285	11	6	301	90	-4	+2	-14	+4	+7	-0.5
2011	24	MLB RAW	New York Yankees	—	338	309	82	18	2	5	22	37	0	22	6	265	314	385	699	120	287	11	7	307	90	-4	+2	-14	+4	+7	-0.5
2012	25	AAA MLE	3 teams	—	324	304	72	9	1	3	12	55	1	28	5	237	268	303	571	66	274	17	4	254	58	—	—	—	—	—	—
2012	25	AAA RAW	3 teams	—	324	303	77	10	1	3	13	45	1	28	5	254	287	323	610	69	284	14	4	270	58	—	—	—	—	—	—
2013	26	MLB MLE	2 teams	—	356	324	83	18	4	3	20	54	3	10	3	256	305	364	670	108	294	15	6	296	87	-6	+1	-10	+4	+8	-0.3
2013	26	MLB RAW	2 teams	—	356	324	82	17	4	3	20	53	3	10	3	253	303	358	661	105	289	15	6	290	87	-6	+1	-10	+4	+8	-0.3
2014	27	MLB MLE	2 teams	—	254	243	61	8	4	5	6	41	1	10	3	251	272	379	651	128	283	16	2	280	75	-7	+1	-2	+3	+6	-0.0
2014	27	MLB RAW	2 teams	—	254	243	62	8	4	5	6	39	1	10	3	255	276	383	659	128	285	15	2	287	75	-7	+1	-2	+3	+6	-0.0
2015	28	MLB MLE	2 teams	—	233	213	61	16	1	5	14	33	2	8	5	286	336	441	778	155	318	14	6	332	111	+3	-0	+4	+2	+5	1.4
2015	28	MLB RAW	2 teams	—	233	213	62	15	1	4	14	32	2	8	5	291	341	427	768	136	326	14	6	337	111	+3	-0	+4	+2	+5	1.4
2016	29	MLB MLE	San Francisco Giants	—	595	556	162	24	4	17	26	88	5	40	10	291	329	441	769	149	317	15	4	337	114	+10	+4	-1	+2	+13	2.9
2016	29	MLB RAW	San Francisco Giants	—	595	553	159	24	4	16	29	88	5	40	10	288	329	432	761	145	314	15	5	334	114	+10	+4	-1	+2	+13	2.9
2017	30	MLB MLE	Boston Red Sox	—	491	467	141	29	0	12	18	54	3	24	7	302	332	441	773	139	320	11	4	342	118	+10	+2	-10	+2	+11	1.6
2017	30	MLB RAW	Boston Red Sox	—	491	467	146	33	0	12	18	54	3	24	7	313	342	460	803	148	333	11	4	353	118	+10	+2	-10	+2	+11	1.6
2018	31	MLB MLE	Boston Red Sox	—	502	480	123	20	3	10	16	69	2	7	2	256	283	373	656	117	280	14	3	292	84	-10	+1	-3	+2	+11	0.1
2018	31	MLB RAW	Boston Red Sox	—	502	480	127	23	3	10	16	69	2	7	2	265	291	388	679	123	290	14	3	299	84	-10	+1	-3	+2	+11	0.1
2019	32	MLB MLE	2 teams	—	189	182	38	6	0	3	4	28	0	5	1	209	226	291	517	82	229	15	2	229	41	-13	+1	+0	+1	+4	-0.8
2019	32	MLB RAW	2 teams	—	189	182	40	7	0	3	4	28	0	5	1	220	237	308	544	88	242	15	2	239	41	-13	+1	+0	+1	+4	-0.8
2006	19	A MLE	2 teams	—	532	504	99	14	6	5	21	104	2	22	6	196	233	278	511	81	231	20	4	225	38	—	—	—	—	—	—
2007	20	A MLE	2 teams	—	494	464	109	14	2	2	22	82	5	29	8	235	279	287	565	52	276	17	4	250	55	—	—	—	—	—	—
2008	21	A+ MLE	Tampa Yankees	—	402	384	93	17	2	5	14	68	1	14	10	242	275	336	611	94	279	17	3	269	68	—	—	—	—	—	—
2009	22	AA MLE	Trenton Thunder	—	528	508	161	24	1	7	14	77	1	19	7	317	338	409	748	93	355	15	3	326	107	—	—	—	—	—	—
2010	23	AAA MLE	3 teams	—	583	546	145	23	3	4	27	80	5	28	6	266	307	341	647	75	300	14	5	285	79	—	—	—	—	—	—
2011	24	MLB MLE	New York Yankees	—	338	315	82	18	2	5	20	37	0	22	6	260	308	378	686	117	287	11	6	301	90	—	—	—	—	—	—
2012	25	AAA MLE	3 teams	—	324	308	72	9	1	3	12	55	1	28	5	234	268	299	567	65	270	17	4	254	58	—	—	—	—	—	—
2013	26	MLB MLE	2 teams	—	356	330	83	18	4	3	20	54	3	10	3	252	305	358	663	106	298	15	6	296	87	—	—	—	—	—	—
2014	27	MLB MLE	2 teams	—	254	245	61	8	4	5	6	41	1	10	3	249	272	376	648	127	280	16	2	280	75	—	—	—	—	—	—
2015	28	MLB MLE	2 teams	—	233	215	61	16	1	5	14	33	2	8	5	284	336	437	773	153	314	14	6	332	111	—	—	—	—	—	—
2016	29	MLB MLE	San Francisco Giants	—	595	559	162	24	4	17	26	88	5	40	10	290	329	438	767	148	314	15	4	337	114	—	—	—	—	—	—
2017	30	MLB MLE	Boston Red Sox	—	491	467	141	29	0	12	18	54	3	24	7	302	332	441	773	139	333	11	4	342	118	—	—	—	—	—	—
2018	31	MLB MLE	Boston Red Sox	—	502	479	123	20	3	10	16	69	2	7	2	257	283	374	657	117	290	14	3	292	84	—	—	—	—	—	—
2019	32	MLB MLE	2 teams	—	189	183	38	6	0	3	4	28	0	5	1	208	226	290	515	82	242	15	2	229	41	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	3006	2811	775	148	19	58	135	400	16	141	38	276	313	404	716	128	302	13	4	314	82	-4	+13	-37	+25	+65	6.3
/ 162G	—	A+C		—	650	608	168	32	4	13	29	86	3	30	8	276	312	406	718	130	302	13	4	314	82	-1	+3	-8	+5	+14	1.4
Career	—	MLE		—	5821	5470	1430	240	33	86	234	870	31	266	79	261	296	365	660	103	295	15	4	290	82	-4	+13	-37	+25	+65	6.3
/ 162G	—	MLE		—	650	611	161	27	4	10	26	97	3	30	9	264	296	370	666	106	297	15	4	290	82	-1	+3	-8	+5	+14	1.4

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.

2019 AAAPawtucket Red Sox · 15 PAwOBA .192 → .155 (−37)K% 6.7% → 8.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	6.67%	÷1.002	×1.200	—	—	7.99%
BB% (unintentional) /PA	0.00%	÷0.963	×0.690	—	×0.952	0.00%
HBP% /PA	0.00%	—	×0.940	—	×0.952	0.00%
Singles /BIP	7.14%	÷0.953	×0.930	—	×0.952	6.63%
Doubles /BIP	0.00%	÷0.896	×0.830	—	×0.952	0.00%
Triples /BIP	0.00%	÷0.900	×0.970	—	×0.952	0.00%
Home runs /BIP	7.14%	÷1.038	×0.840	—	×0.952	5.51%

Factors used: league row IL. Park (home-season share, regressed): HR 108, 1B 91, 2B 79, 3B 80, K 100, BB 93 — 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 .192 → .155; ISO .200 → .152; BABIP .077 → .070. 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 AAARochester Red Wings · 41 PAwOBA .296 → .256 (−41)K% 19.5% → 23.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.51%	÷1.002	×1.200	—	—	23.37%
BB% (unintentional) /PA	2.44%	÷1.125	×0.690	—	×1.003	1.50%
HBP% /PA	0.00%	—	×0.940	—	×1.003	0.00%
Singles /BIP	29.03%	÷1.010	×0.930	—	×1.003	26.81%
Doubles /BIP	3.23%	÷1.059	×0.830	—	×1.003	2.54%
Triples /BIP	0.00%	÷0.900	×0.970	—	×1.003	0.00%
Home runs /BIP	3.23%	÷1.075	×0.840	—	×1.003	2.53%

Factors used: league row IL. Park (home-season share, regressed): HR 115, 1B 102, 2B 112, 3B 80, K 100, BB 125 — 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 .296 → .256; ISO .103 → .080; BABIP .323 → .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).

2012 AAAScranton/Wilkes-Barre Yankees · 172 PAwOBA .239 → .217 (−22)K% 16.3% → 19.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.28%	÷0.988	×1.200	—	—	19.76%
BB% (unintentional) /PA	3.49%	÷1.012	×0.690	—	×1.033	2.46%
HBP% /PA	0.00%	—	×0.940	—	×1.033	0.00%
Singles /BIP	22.96%	÷1.006	×0.930	×1.012	×1.033	22.19%
Doubles /BIP	2.96%	÷1.076	×0.830	×1.012	×1.033	2.39%
Triples /BIP	0.00%	÷0.926	×0.970	×1.012	×1.033	0.00%
Home runs /BIP	1.48%	÷0.945	×0.840	—	×1.033	1.36%

Factors used: league row IL. Park (home-season share, regressed): HR 89, 1B 101, 2B 115, 3B 85, K 98, BB 102 — 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 ×1.012.

Result: wOBA .239 → .217; ISO .061 → .053; BABIP .259 → .245. 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 AAAScranton/Wilkes-Barre Yankees · 506 PAwOBA .315 → .283 (−32)K% 11.9% → 14.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	11.86%	÷0.970	×1.200	—	—	14.67%
BB% (unintentional) /PA	6.13%	÷0.983	×0.690	—	×1.050	4.52%
HBP% /PA	0.99%	—	×0.940	—	×1.050	0.98%
Singles /BIP	25.25%	÷1.003	×0.930	×0.990	×1.050	24.35%
Doubles /BIP	6.19%	÷1.036	×0.830	×0.990	×1.050	5.16%
Triples /BIP	0.74%	÷1.150	×0.970	×0.990	×1.050	0.65%
Home runs /BIP	0.99%	÷1.070	×0.840	—	×1.050	0.82%

Factors used: league row IL. Park (home-season share, regressed): HR 114, 1B 101, 2B 107, 3B 130, K 94, BB 97 — applied at half strength. Age: age 23 vs a level average of 27.2 → +5.0% on BB/HBP/hit rates (4.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.990.

Result: wOBA .315 → .283; ISO .093 → .078; BABIP .323 → .303. 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 AATrenton Thunder · 528 PAwOBA .336 → .326 (−10)K% 11.9% → 14.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	11.93%	÷1.000	×1.220	—	—	14.56%
BB% (unintentional) /PA	3.60%	÷1.000	×0.700	—	×1.042	2.62%
HBP% /PA	0.19%	—	×0.850	—	×1.042	0.17%
Singles /BIP	28.57%	÷1.000	×0.970	×1.022	×1.042	29.51%
Doubles /BIP	5.99%	÷1.000	×0.860	×1.022	×1.042	5.49%
Triples /BIP	0.23%	÷1.000	×0.950	×1.022	×1.042	0.23%
Home runs /BIP	2.07%	÷1.000	×0.780	—	×1.042	1.69%

Factors used: league row EL. Park (home-season share, regressed): no park row on file (treated as neutral) — 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 ×1.022.

Result: wOBA .336 → .326; ISO .111 → .097; BABIP .352 → .355. 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 A+Tampa Yankees · 402 PAwOBA .296 → .269 (−26)K% 11.9% → 17.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	11.94%	÷1.000	×1.420	—	—	16.96%
BB% (unintentional) /PA	4.48%	÷1.000	×0.750	—	×1.027	3.45%
HBP% /PA	0.25%	—	×0.930	—	×1.027	0.24%
Singles /BIP	22.77%	÷1.000	×0.920	×1.002	×1.027	21.55%
Doubles /BIP	5.54%	÷1.000	×0.960	×1.002	×1.027	5.47%
Triples /BIP	0.92%	÷1.000	×0.810	×1.002	×1.027	0.77%
Home runs /BIP	1.85%	÷1.000	×0.880	—	×1.027	1.67%

Factors used: league row FSL. 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 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 ×1.002.

Result: wOBA .296 → .269; ISO .113 → .103; BABIP .294 → .279. 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 ACharleston RiverDogs · 360 PAwOBA .262 → .239 (−22)K% 11.7% → 15.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	11.67%	÷1.000	×1.340	—	—	15.63%
BB% (unintentional) /PA	6.94%	÷1.000	×0.660	—	×1.030	4.72%
HBP% /PA	0.56%	—	×0.770	—	×1.030	0.44%
Singles /BIP	22.73%	÷1.000	×0.920	×1.050	×1.030	22.61%
Doubles /BIP	3.50%	÷1.000	×0.820	×1.050	×1.030	3.10%
Triples /BIP	0.70%	÷1.000	×0.940	×1.050	×1.030	0.71%
Home runs /BIP	0.35%	÷1.000	×0.820	—	×1.030	0.30%

Factors used: league row SAL. Park (home-season share, regressed): no park row on file (treated as neutral) — 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 ×1.050.

Result: wOBA .262 → .239; ISO .052 → .047; BABIP .267 → .262. 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 A+Tampa Yankees · 134 PAwOBA .306 → .279 (−27)K% 13.4% → 19.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.43%	÷1.000	×1.420	—	—	19.07%
BB% (unintentional) /PA	5.22%	÷1.000	×0.750	—	×1.042	4.08%
HBP% /PA	2.24%	—	×0.930	—	×1.042	2.17%
Singles /BIP	27.62%	÷1.000	×0.920	×1.008	×1.042	26.69%
Doubles /BIP	4.76%	÷1.000	×0.960	×1.008	×1.042	4.80%
Triples /BIP	0.00%	÷1.000	×0.810	×1.008	×1.042	0.00%
Home runs /BIP	0.95%	÷1.000	×0.880	—	×1.042	0.87%

Factors used: league row FSL. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 20 vs a level average of 22.8 → +4.2% on BB/HBP/hit rates (2.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.008.

Result: wOBA .306 → .279; ISO .065 → .060; BABIP .324 → .314. 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 — .