Nick Hundley

PosC

B/TR/R

Born1983-09-08

Age (2027)43

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	MLE AVG/OBP/SLG
2017	33	MLBSF	303	.244/.274/.418	9	0	91	0.8
2018	34	MLBSF	305	.241/.298/.408	10	2	100	0.2
2019	35	AAA/A+2 orgs	59	.151/.211/.245	1	0	-11	—	.127/.158/.219
2019	35	MLBOakland Athle…	73	.200/.233/.357	2	0	66	0.1
2020	36	No MLB games played
2021	37	No MLB games played
2022	38	No MLB games played
2023	39	No MLB games played
2024	40	No MLB games played
2025	41	No MLB games played
2026	42	No MLB games played

Last 3 seasons WAR 1.2

Contract

No contract data on file.

Skills · percentileStatcast 2017-2019

Barrel%39

Avg EV39

xwOBA36

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. Catcher framing: only 2027 Statcast framing is modeled (Baseball Savant server-caches the leaderboard to the current season); prior-year framing is unmodeled — projections for established framers may run 1-3 WAR low.

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	21	A	Fort Wayne Wizards	—	42	36	8	2	0	0	4	9	1	0	0	222	317	278	595	56	286	21	10	274	38	—	—	—	—	—	—
2006	22	A+	Lake Elsinore Storm	—	200	176	49	13	0	3	20	44	2	1	1	278	359	403	762	125	354	22	10	341	66	—	—	—	—	—	—
2006	22	A	Fort Wayne Wizards	—	249	216	59	19	0	8	25	46	4	1	1	273	359	472	831	199	307	18	10	363	75	—	—	—	—	—	—
2007	23	AA	San Antonio Missions	—	422	373	92	23	1	20	42	74	2	0	2	247	326	475	801	228	255	18	10	348	75	—	—	—	—	—	—
2008	24	MLB	San Diego Padres	—	216	198	47	7	1	5	11	52	2	0	0	237	284	359	643	121	288	24	5	282	77	-6	+0	-5	+8	+5	0.2
2008	24	AAA	Portland Beavers	—	243	224	52	13	0	12	17	44	0	0	0	232	286	451	737	219	237	18	7	321	57	—	—	—	—	—	—
2009	25	MLB	San Diego Padres	—	289	256	61	15	2	8	28	76	1	5	1	238	316	406	722	168	303	26	10	318	100	-0	+1	+0	+5	+6	1.3
2009	25	AAA	Portland Beavers	—	18	16	4	1	0	1	2	4	0	0	0	250	333	500	833	250	273	22	11	365	75	—	—	—	—	—	—
2010	26	MLB	San Diego Padres	—	307	273	68	18	2	8	25	66	1	0	5	249	314	418	732	168	293	21	8	317	104	+2	-2	+4	+5	+7	1.6
2011	27	MLB	San Diego Padres	—	308	281	81	16	5	9	22	74	4	1	1	288	349	477	825	189	362	24	7	363	130	+11	-0	-2	+6	+7	2.2
2011	27	AA	San Antonio Missions	—	29	23	4	0	0	0	6	10	0	0	0	174	345	174	519		308	34	21	269	10	—	—	—	—	—	—
2012	28	MLB	San Diego Padres	—	225	204	32	7	1	3	15	56	2	0	3	157	222	245	467	88	196	25	7	212	28	-19	-1	-4	+5	+5	-1.5
2012	28	AAA	Tucson Padres	—	47	42	8	1	1	0	4	9	0	0	1	190	261	262	523	71	235	19	9	237	10	—	—	—	—	—	—
2013	29	MLB	San Diego Padres	—	408	373	87	19	0	13	26	98	5	1	0	233	292	389	681	155	279	24	6	302	87	-6	+0	-7	+7	+9	0.3
2014	30	MLB	Baltimore Orioles	—	233	218	53	7	0	6	10	63	0	1	0	243	276	358	634	115	309	27	4	277	70	-8	+0	-2	+4	+5	-0.1
2015	31	MLB	Colorado Rockies	—	389	366	110	21	5	10	21	76	1	5	6	301	340	467	807	167	356	20	5	355	114	+6	-1	-1	+7	+8	2.0
2016	32	MLB	Colorado Rockies	—	317	289	75	20	1	10	25	65	1	0	0	260	321	439	760	180	302	21	8	335	98	-1	+0	-5	+6	+7	0.7
2017	33	MLB	San Francisco Giants	—	303	287	70	23	0	9	12	81	0	0	0	244	274	418	692	174	307	27	4	300	91	-3	+0	-0	+5	+7	0.8
2018	34	MLB	San Francisco Giants	—	305	282	68	13	2	10	22	85	1	2	1	241	298	408	706	167	310	28	7	314	100	+0	+0	-10	+5	+7	0.2
2019	35	MLB	Oakland Athletics	—	73	70	14	3	1	2	2	18	1	0	1	200	233	357	590	157	240	25	3	260	66	-3	-0	+1	+2	+2	0.1
2019	35	AAA	Lehigh Valley IronPigs	—	36	32	4	1	0	1	2	17	0	0	0	125	176	250	426	125	188	47	6	183	-15	—	—	—	—	—	—
2019	35	A+	Stockton Ports	—	23	21	4	1	0	0	2	7	0	0	0	190	261	238	499	48	286	30	9	235	-5	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	3373	3097	766	169	20	93	219	810	19	15	18	247	301	405	706	158	303	24	6	311	96	-15	-4	-31	+67	+73	9.3
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2005	21	A MLE	Fort Wayne Wizards	—	42	37	7	2	0	0	3	12	1	0	0	189	268	243	512	54	256	29	7	224	38	—	—	—	—	—	—
2006	22	A+ MLE	Lake Elsinore Storm	—	200	183	41	10	0	3	13	59	2	1	1	224	283	328	611	104	304	30	6	266	66	—	—	—	—	—	—
2006	22	A MLE	Fort Wayne Wizards	—	249	224	48	15	0	6	17	62	4	1	1	214	282	362	643	147	253	25	7	279	75	—	—	—	—	—	—
2007	23	AA MLE	San Antonio Missions	—	422	385	79	19	1	16	30	90	2	0	2	205	266	384	651	179	218	21	7	279	75	—	—	—	—	—	—
2008	24	MLB MLE	San Diego Padres	—	216	198	47	7	1	5	11	52	2	0	0	237	284	359	643	121	288	24	5	282	77	-6	+0	-5	+8	+5	0.2
2008	24	AAA MLE	Portland Beavers	—	243	229	43	10	0	9	12	57	0	0	0	188	228	349	578	162	206	23	5	252	57	—	—	—	—	—	—
2009	25	MLB MLE	San Diego Padres	—	289	257	61	15	2	8	27	76	1	5	1	237	312	405	717	167	303	26	9	316	100	-0	+1	+0	+5	+6	1.3
2009	25	AAA MLE	Portland Beavers	—	18	17	4	1	0	1	1	5	0	0	0	235	278	471	748	235	237	28	6	279	75	—	—	—	—	—	—
2010	26	MLB MLE	San Diego Padres	—	307	273	69	19	2	8	25	66	1	0	5	253	318	425	743	172	293	21	8	322	104	+2	-2	+4	+5	+7	1.6
2011	27	MLB MLE	San Diego Padres	—	308	284	82	17	5	9	19	74	4	1	1	289	342	479	821	190	362	24	6	361	130	+11	-0	-2	+6	+7	2.2
2011	27	AA MLE	San Antonio Missions	—	29	25	3	0	0	0	4	13	0	0	0	120	241	120	361		256	45	14	183	10	—	—	—	—	—	—
2012	28	MLB MLE	San Diego Padres	—	225	206	32	7	1	3	13	56	2	0	3	155	213	243	455	87	196	25	6	209	28	-19	-1	-4	+5	+5	-1.5
2012	28	AAA MLE	Tucson Padres	—	47	43	7	1	1	0	3	12	0	0	1	163	217	233	450	70	198	26	6	183	10	—	—	—	—	—	—
2013	29	MLB MLE	San Diego Padres	—	408	378	88	20	0	13	21	98	5	1	0	233	282	389	671	156	279	24	5	296	87	-6	+0	-7	+7	+9	0.3
2014	30	MLB MLE	Baltimore Orioles	—	233	218	52	7	0	5	10	63	0	1	0	239	272	339	611	101	309	27	4	271	70	-8	+0	-2	+4	+5	-0.1
2015	31	MLB MLE	Colorado Rockies	—	389	366	104	20	3	9	21	76	1	5	6	284	325	429	754	145	356	20	5	336	114	+6	-1	-1	+7	+8	2.0
2016	32	MLB MLE	Colorado Rockies	—	317	292	72	19	1	9	22	65	1	0	0	247	302	411	713	164	302	21	7	314	98	-1	+0	-5	+6	+7	0.7
2017	33	MLB MLE	San Francisco Giants	—	303	289	72	23	0	10	10	81	0	0	0	249	274	433	707	183	307	27	3	302	91	-3	+0	-0	+5	+7	0.8
2018	34	MLB MLE	San Francisco Giants	—	305	284	70	13	2	11	20	85	1	2	1	246	298	423	721	176	310	28	7	317	100	+0	+0	-10	+5	+7	0.2
2019	35	MLB MLE	Oakland Athletics	—	73	70	14	3	1	2	2	18	1	0	1	200	233	357	590	157	240	25	3	265	66	-3	-0	+1	+2	+2	0.1
2019	35	AAA MLE	Lehigh Valley IronPigs	—	36	33	4	1	0	1	1	20	0	0	0	121	147	242	389	121	151	56	3	146	-15	—	—	—	—	—	—
2019	35	A+ MLE	Stockton Ports	—	23	22	3	1	0	0	1	9	0	0	0	136	174	182	356	45	238	39	4	161	-5	—	—	—	—	—	—
2005	21	A MLE	Fort Wayne Wizards	—	42	37	7	2	0	0	3	12	1	0	0	189	268	243	512	54	269	29	7	224	38	—	—	—	—	—	—
2005	21	A RAW	Fort Wayne Wizards	—	42	36	8	2	0	0	4	9	1	0	0	222	317	278	595	56	286	21	10	274	38	—	—	—	—	—	—
2006	22	A MLE	2 teams	—	449	406	88	24	0	9	31	121	6	2	2	217	282	342	625	126	281	27	7	273	71	—	—	—	—	—	—
2006	22	A RAW	2 teams	—	449	392	108	32	0	11	45	90	6	2	2	276	359	441	800	166	328	20	10	353	71	—	—	—	—	—	—
2007	23	AA MLE	San Antonio Missions	—	422	385	79	19	1	16	30	90	2	0	2	205	266	384	651	179	223	21	7	279	75	—	—	—	—	—	—
2007	23	AA RAW	San Antonio Missions	—	422	373	92	23	1	20	42	74	2	0	2	247	326	475	801	228	255	18	10	348	75	—	—	—	—	—	—
2008	24	AAA MLE	2 teams	—	459	427	90	17	1	14	23	109	2	0	0	211	254	354	608	143	245	24	5	266	66	—	—	—	—	—	—
2008	24	AAA RAW	2 teams	—	459	422	99	20	1	17	28	96	2	0	0	235	285	408	693	173	260	21	6	303	66	—	—	—	—	—	—
2009	25	MLB MLE	2 teams	—	307	274	65	16	2	9	28	81	1	5	1	237	310	409	719	172	299	26	9	314	98	-1	+1	+0	+5	+7	1.3
2009	25	MLB RAW	2 teams	—	307	272	65	16	2	9	30	80	1	5	1	239	317	412	729	173	301	26	10	321	98	-1	+1	+0	+5	+7	1.3
2010	26	MLB MLE	San Diego Padres	—	307	273	69	19	2	8	25	66	1	0	5	253	318	425	743	172	298	21	8	322	104	+2	-2	+4	+5	+7	1.6
2010	26	MLB RAW	San Diego Padres	—	307	273	68	18	2	8	25	66	1	0	5	249	314	418	732	168	293	21	8	317	104	+2	-2	+4	+5	+7	1.6
2011	27	MLB MLE	2 teams	—	337	309	86	17	5	9	23	87	4	1	1	278	336	453	789	175	360	26	7	346	120	+8	-0	-2	+6	+7	1.9
2011	27	MLB RAW	2 teams	—	337	304	85	16	5	9	28	84	4	1	1	280	348	454	802	174	358	25	8	355	120	+8	-0	-2	+6	+7	1.9
2012	28	MLB MLE	2 teams	—	272	249	39	8	2	3	16	68	2	0	4	157	213	241	454	84	198	25	6	205	25	-24	-2	-4	+5	+6	-1.9
2012	28	MLB RAW	2 teams	—	272	246	40	8	2	3	19	65	2	0	4	163	228	248	476	85	203	24	7	217	25	-24	-2	-4	+5	+6	-1.9
2013	29	MLB MLE	San Diego Padres	—	408	378	88	20	0	13	21	98	5	1	0	233	282	389	671	156	278	24	5	296	87	-6	+0	-7	+7	+9	0.3
2013	29	MLB RAW	San Diego Padres	—	408	373	87	19	0	13	26	98	5	1	0	233	292	389	681	155	279	24	6	302	87	-6	+0	-7	+7	+9	0.3
2014	30	MLB MLE	Baltimore Orioles	—	233	218	52	7	0	5	10	63	0	1	0	239	272	339	611	101	307	27	4	271	70	-8	+0	-2	+4	+5	-0.1
2014	30	MLB RAW	Baltimore Orioles	—	233	218	53	7	0	6	10	63	0	1	0	243	276	358	634	115	309	27	4	277	70	-8	+0	-2	+4	+5	-0.1
2015	31	MLB MLE	Colorado Rockies	—	389	366	104	20	3	9	21	76	1	5	6	284	325	429	754	145	337	20	5	336	114	+6	-1	-1	+7	+8	2.0
2015	31	MLB RAW	Colorado Rockies	—	389	366	110	21	5	10	21	76	1	5	6	301	340	467	807	167	356	20	5	355	114	+6	-1	-1	+7	+8	2.0
2016	32	MLB MLE	Colorado Rockies	—	317	292	72	19	1	9	22	65	1	0	0	247	302	411	713	164	288	21	7	314	98	-1	+0	-5	+6	+7	0.7
2016	32	MLB RAW	Colorado Rockies	—	317	289	75	20	1	10	25	65	1	0	0	260	321	439	760	180	302	21	8	335	98	-1	+0	-5	+6	+7	0.7
2017	33	MLB MLE	San Francisco Giants	—	303	289	72	23	0	10	10	81	0	0	0	249	274	433	707	183	310	27	3	302	91	-3	+0	-0	+5	+7	0.8
2017	33	MLB RAW	San Francisco Giants	—	303	287	70	23	0	9	12	81	0	0	0	244	274	418	692	174	307	27	4	300	91	-3	+0	-0	+5	+7	0.8
2018	34	MLB MLE	San Francisco Giants	—	305	284	70	13	2	11	20	85	1	2	1	246	298	423	721	176	314	28	7	317	100	+0	+0	-10	+5	+7	0.2
2018	34	MLB RAW	San Francisco Giants	—	305	282	68	13	2	10	22	85	1	2	1	241	298	408	706	167	310	28	7	314	100	+0	+0	-10	+5	+7	0.2
2019	35	MLB MLE	3 teams	—	132	124	20	4	1	3	5	48	1	0	1	161	200	282	482	121	227	36	4	214	31	-11	-0	+1	+2	+3	-0.6
2019	35	MLB RAW	3 teams	—	132	123	22	5	1	3	6	42	1	0	1	179	223	309	532	130	237	32	5	235	31	-11	-0	+1	+2	+3	-0.6
2005	21	A MLE	Fort Wayne Wizards	—	42	38	7	2	0	0	3	12	1	0	0	184	268	237	505	53	256	29	7	224	38	—	—	—	—	—	—
2006	22	A MLE	2 teams	—	449	409	88	24	0	9	31	121	6	2	2	215	282	340	622	125	276	27	7	273	71	—	—	—	—	—	—
2007	23	AA MLE	San Antonio Missions	—	422	387	79	19	1	16	30	90	2	0	2	204	266	382	649	178	218	21	7	279	75	—	—	—	—	—	—
2008	24	AAA MLE	2 teams	—	459	431	90	17	1	14	23	109	2	0	0	209	254	350	605	142	244	24	5	266	66	—	—	—	—	—	—
2009	25	MLB MLE	2 teams	—	307	275	65	16	2	9	28	81	1	5	1	236	310	407	718	171	299	26	9	314	98	—	—	—	—	—	—
2010	26	MLB MLE	San Diego Padres	—	307	278	69	19	2	8	25	66	1	0	5	248	318	417	735	169	293	21	8	322	104	—	—	—	—	—	—
2011	27	MLB MLE	2 teams	—	337	307	86	17	5	9	23	87	4	1	1	280	336	456	792	176	353	26	7	346	120	—	—	—	—	—	—
2012	28	MLB MLE	2 teams	—	272	252	39	8	2	3	16	68	2	0	4	155	213	238	452	83	196	25	6	205	25	—	—	—	—	—	—
2013	29	MLB MLE	San Diego Padres	—	408	379	88	20	0	13	21	98	5	1	0	232	282	388	670	156	279	24	5	296	87	—	—	—	—	—	—
2014	30	MLB MLE	Baltimore Orioles	—	233	221	52	7	0	5	10	63	0	1	0	235	272	335	607	100	309	27	4	271	70	—	—	—	—	—	—
2015	31	MLB MLE	Colorado Rockies	—	389	364	104	20	3	9	21	76	1	5	6	286	325	431	756	146	356	20	5	336	114	—	—	—	—	—	—
2016	32	MLB MLE	Colorado Rockies	—	317	291	72	19	1	9	22	65	1	0	0	247	302	412	714	165	302	21	7	314	98	—	—	—	—	—	—
2017	33	MLB MLE	San Francisco Giants	—	303	290	72	23	0	10	10	81	0	0	0	248	274	431	705	183	307	27	3	302	91	—	—	—	—	—	—
2018	34	MLB MLE	San Francisco Giants	—	305	281	70	13	2	11	20	85	1	2	1	249	298	427	725	178	310	28	7	317	100	—	—	—	—	—	—
2019	35	MLB MLE	3 teams	—	132	125	20	4	1	3	5	48	1	0	1	160	200	280	480	120	215	36	4	214	31	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	3373	3097	766	169	20	93	219	810	19	15	18	247	301	405	706	158	303	24	6	311	84	-15	-4	-31	+67	+73	9.3
/ 162G	—	A+C		—	650	597	148	33	4	18	42	156	4	3	3	248	302	407	709	159	304	24	6	311	84	-3	-1	-6	+13	+14	1.8
Career	—	MLE		—	4682	4311	1001	228	20	128	288	1150	28	17	23	232	285	383	668	151	284	25	6	293	84	-15	-4	-31	+67	+73	9.3
/ 162G	—	MLE		—	650	598	140	32	3	18	40	160	4	2	3	234	287	388	675	154	286	25	6	293	84	-3	-1	-6	+13	+14	1.8

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 AAALehigh Valley IronPigs · 36 PAwOBA .188 → .146 (−41)K% 47.2% → 56.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	47.22%	÷0.999	×1.200	—	—	56.70%
BB% (unintentional) /PA	5.56%	÷0.948	×0.690	—	×0.940	3.80%
HBP% /PA	0.00%	—	×0.940	—	×0.940	0.00%
Singles /BIP	13.33%	÷1.032	×0.930	—	×0.940	11.29%
Doubles /BIP	6.67%	÷1.033	×0.830	—	×0.940	5.03%
Triples /BIP	0.00%	÷1.061	×0.970	—	×0.940	0.00%
Home runs /BIP	6.67%	÷0.866	×0.840	—	×0.940	6.08%

Factors used: league row IL. Park (home-season share, regressed): HR 73, 1B 106, 2B 107, 3B 112, K 100, BB 90 — applied at half strength. Age: age 36 vs a level average of 27.2 → −6.0% on BB/HBP/hit rates (8.8 yr older than average).

Result: wOBA .188 → .146; ISO .125 → .103; BABIP .188 → .151. 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 A+Stockton Ports · 23 PAwOBA .229 → .161 (−68)K% 30.4% → 40.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	30.43%	÷1.007	×1.340	—	—	40.49%
BB% (unintentional) /PA	8.70%	÷1.075	×0.710	—	×0.940	5.40%
HBP% /PA	0.00%	—	×0.790	—	×0.940	0.00%
Singles /BIP	21.43%	÷0.992	×0.910	—	×0.940	18.47%
Doubles /BIP	7.14%	÷1.036	×0.820	—	×0.940	5.31%
Triples /BIP	0.00%	÷0.958	×0.760	—	×0.940	0.00%
Home runs /BIP	0.00%	÷1.114	×0.920	—	×0.940	0.00%

Factors used: league row CAL. Park (home-season share, regressed): HR 123, 1B 98, 2B 107, 3B 92, K 101, BB 115 — applied at half strength. Age: age 36 vs a level average of 22.8 → −6.0% on BB/HBP/hit rates (13.2 yr older than average).

Result: wOBA .229 → .161; ISO .048 → .031; BABIP .286 → .238. 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 AAATucson Padres · 47 PAwOBA .236 → .183 (−53)K% 19.1% → 25.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.15%	÷0.979	×1.290	—	—	25.23%
BB% (unintentional) /PA	8.51%	÷1.052	×0.710	—	×0.982	5.64%
HBP% /PA	0.00%	—	×0.980	—	×0.982	0.00%
Singles /BIP	18.18%	÷1.007	×0.900	—	×0.982	15.95%
Doubles /BIP	3.03%	÷1.013	×0.810	—	×0.982	2.38%
Triples /BIP	3.03%	÷1.150	×0.810	—	×0.982	2.10%
Home runs /BIP	0.00%	÷1.050	×0.780	—	×0.982	0.00%

Factors used: league row PCL. Park (home-season share, regressed): HR 110, 1B 101, 2B 103, 3B 130, K 96, BB 110 — 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 .236 → .183; ISO .071 → .051; BABIP .235 → .198. 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 AASan Antonio Missions · 29 PAwOBA .264 → .183 (−81)K% 34.5% → 44.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	34.48%	÷0.950	×1.220	—	—	44.29%
BB% (unintentional) /PA	20.69%	÷1.128	×0.700	—	×0.968	12.43%
HBP% /PA	0.00%	—	×0.870	—	×0.968	0.00%
Singles /BIP	30.77%	÷1.069	×0.920	—	×0.968	25.63%
Doubles /BIP	0.00%	÷1.037	×0.840	—	×0.968	0.00%
Triples /BIP	0.00%	÷0.900	×0.940	—	×0.968	0.00%
Home runs /BIP	0.00%	÷0.889	×0.800	—	×0.968	0.00%

Factors used: league row TL. Park (home-season share, regressed): HR 78, 1B 114, 2B 107, 3B 80, K 90, BB 126 — applied at half strength. Age: age 28 vs a level average of 24.8 → −3.2% on BB/HBP/hit rates (3.2 yr older than average).

Result: wOBA .264 → .183; ISO .000 → .000; BABIP .308 → .256. 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 AAAPortland Beavers · 18 PAwOBA .355 → .279 (−76)K% 22.2% → 28.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.22%	÷1.000	×1.290	—	—	28.67%
BB% (unintentional) /PA	11.11%	÷1.000	×0.710	—	×1.018	8.03%
HBP% /PA	0.00%	—	×0.980	—	×1.018	0.00%
Singles /BIP	16.67%	÷1.000	×0.900	—	×1.018	15.27%
Doubles /BIP	8.33%	÷1.000	×0.810	—	×1.018	6.87%
Triples /BIP	0.00%	÷1.000	×0.810	—	×1.018	0.00%
Home runs /BIP	8.33%	÷1.000	×0.780	—	×1.018	6.62%

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).

Result: wOBA .355 → .279; ISO .250 → .190; BABIP .273 → .237. 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 AAAPortland Beavers · 243 PAwOBA .313 → .252 (−61)K% 18.1% → 23.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.11%	÷1.000	×1.290	—	—	23.36%
BB% (unintentional) /PA	7.00%	÷1.000	×0.710	—	×1.033	5.13%
HBP% /PA	0.00%	—	×0.980	—	×1.033	0.00%
Singles /BIP	15.00%	÷1.000	×0.900	×0.979	×1.033	13.65%
Doubles /BIP	7.22%	÷1.000	×0.810	×0.979	×1.033	5.92%
Triples /BIP	0.00%	÷1.000	×0.810	×0.979	×1.033	0.00%
Home runs /BIP	6.67%	÷1.000	×0.780	—	×1.033	5.37%

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 ×0.979.

Result: wOBA .313 → .252; ISO .219 → .171; BABIP .237 → .206. 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 AASan Antonio Missions · 422 PAwOBA .341 → .279 (−62)K% 17.5% → 21.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.54%	÷1.000	×1.220	—	—	21.39%
BB% (unintentional) /PA	9.95%	÷1.000	×0.700	—	×1.012	7.05%
HBP% /PA	0.47%	—	×0.870	—	×1.012	0.42%
Singles /BIP	16.05%	÷1.000	×0.920	×0.956	×1.012	14.29%
Doubles /BIP	7.69%	÷1.000	×0.840	×0.956	×1.012	6.25%
Triples /BIP	0.33%	÷1.000	×0.940	×0.956	×1.012	0.30%
Home runs /BIP	6.69%	÷1.000	×0.800	—	×1.012	5.42%

Factors used: league row TL. Park (home-season share, regressed): no park row on file (treated as neutral) — 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 ×0.956.

Result: wOBA .341 → .279; ISO .228 → .186; BABIP .255 → .218. 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 AFort Wayne Wizards · 249 PAwOBA .359 → .279 (−80)K% 18.5% → 25.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.47%	÷1.000	×1.360	—	—	25.12%
BB% (unintentional) /PA	10.04%	÷1.000	×0.690	—	×0.990	6.86%
HBP% /PA	1.61%	—	×0.780	—	×0.990	1.24%
Singles /BIP	18.82%	÷1.000	×0.920	×0.950	×0.990	16.29%
Doubles /BIP	11.18%	÷1.000	×0.830	×0.950	×0.990	8.72%
Triples /BIP	0.00%	÷1.000	×0.910	×0.950	×0.990	0.00%
Home runs /BIP	4.71%	÷1.000	×0.800	—	×0.990	3.73%

Factors used: level-wide A 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 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 ×0.950.

Result: wOBA .359 → .279; ISO .199 → .153; BABIP .307 → .253. 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).