Matt Pagnozzi

PosC

B/TR/R

Born1982-11-10

Age (2027)44

No MLB projection yet. Career stats below are historical.

Overview

AAALAST SEASON 2015

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2013	30	AAAGwinnett Brav…	321	.210/.275/.314	6	0	31	—	.175/.225/.259
2013	30	MLBHOU	22	.143/.182/.143	0	0	-9	0.3
2014	31	AAA/INTL2 orgs	279	.218/.309/.391	12	1	52	—	.174/.235/.305
2015	32	AAA/AA2 orgs	237	.250/.335/.358	4	0	46	—	.205/.261/.284
2016	33	No MLB games played
2017	34	No MLB games played
2018	35	No MLB games played
2019	36	No MLB games played
2020	37	No MLB games played
2021	38	No MLB games played
2022	39	No MLB games played
2023	40	No MLB games played
2024	41	No MLB games played
2025	42	No MLB games played
2026	43	No MLB games played

Last 3 seasons WAR 0.3

Contract

No contract data on file.

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	22	AA	Springfield Cardinals	—	41	36	5	1	0	0	3	8	1	0	0	139	220	167	386	28	179	20	7	189	-6	—	—	—	—	—	—
2005	22	A+	Palm Beach Cardinals	—	211	187	36	11	0	1	20	49	2	3	2	193	278	267	545	75	255	23	9	253	22	—	—	—	—	—	—
2006	23	A+	Palm Beach Cardinals	—	295	268	58	15	3	3	20	67	5	0	1	216	283	328	612	112	278	23	7	276	31	—	—	—	—	—	—
2007	24	AAA	Memphis Redbirds	—	155	141	31	6	0	2	7	36	4	1	0	220	276	305	581	85	279	23	5	261	33	—	—	—	—	—	—
2007	24	AA	Springfield Cardinals	—	47	43	9	3	0	0	2	11	1	0	0	209	261	279	540	70	281	23	4	243	22	—	—	—	—	—	—
2008	25	AA	Springfield Cardinals	—	245	216	51	10	0	3	16	47	3	2	1	236	297	324	621	88	284	19	7	273	49	—	—	—	—	—	—
2009	26	AAA	Memphis Redbirds	—	291	253	56	7	0	5	26	78	3	0	1	221	301	308	610	87	297	27	9	273	36	—	—	—	—	—	—
2010	27	MLB	St. Louis Cardinals	—	44	39	14	2	0	1	2	8	1	0	0	359	405	487	892	128	433	18	5	380	145	+2	+0	-1	+6	+1	0.8
2010	27	AAA	Memphis Redbirds	—	242	207	50	11	0	1	27	49	3	0	0	242	338	309	647	68	312	20	11	296	53	—	—	—	—	—	—
2010	27	INTL	Toros del Este	—	28	27	4	1	0	0	0	7	0	0	0	148	148	185	333	37	200	25	0	143	-17	—	—	—	—	—	—
2011	28	MLB	Pittsburgh Pirates	—	34	29	8	0	0	0	1	10	1	0	0	276	323	276	598		421	29	3	255	59	-2	+0	-2	+4	+1	0.1
2011	28	AAA	Colorado Springs Sky Sox	—	198	178	49	13	2	3	16	40	1	0	2	275	338	421	760	146	338	20	8	334	60	—	—	—	—	—	—
2012	29	AAA	Columbus Clippers	—	292	245	55	12	0	7	33	71	5	0	0	224	329	359	688	135	281	24	11	306	49	—	—	—	—	—	—
2013	30	MLB	Houston Astros	—	22	21	3	0	0	0	1	3	0	0	0	143	182	143	325		167	14	5	155	-9	-3	+0	-1	+6	+0	0.3
2013	30	AAA	Gwinnett Braves	—	321	290	61	10	1	6	21	64	5	0	0	210	275	314	589	103	249	20	7	265	31	—	—	—	—	—	—
2014	31	AAA	Nashville Sounds	—	259	228	49	5	0	11	20	63	7	1	0	215	298	382	680	167	247	24	8	302	42	—	—	—	—	—	—
2014	31	INTL	Estrellas de Oriente	—	20	15	4	1	0	1	4	5	1	0	0	267	450	533	983	267	333	25	20	435	181	—	—	—	—	—	—
2015	32	AAA	Reno Aces	—	205	180	46	8	1	4	18	29	0	0	1	256	323	378	701	122	280	14	9	306	47	—	—	—	—	—	—
2015	32	AA	Mobile BayBears	—	32	24	5	0	0	0	7	11	1	0	0	208	406	208	615		385	34	22	317	41	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	100	89	25	2	0	1	4	21	2	0	0	281	326	337	663	56	358	21	4	288	81	-2	+0	-4	+16	+2	1.2
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2005	22	AA MLE	Springfield Cardinals	—	41	38	5	1	0	0	2	10	1	0	0	132	195	158	353	26	166	24	5	160	-6	—	—	—	—	—	—
2005	22	A+ MLE	Palm Beach Cardinals	—	211	193	30	9	0	1	14	70	2	3	2	155	220	218	438	62	235	33	7	200	22	—	—	—	—	—	—
2006	23	A+ MLE	Palm Beach Cardinals	—	295	273	47	13	2	2	15	95	5	0	1	172	229	256	485	84	248	32	5	214	31	—	—	—	—	—	—
2007	24	AAA MLE	Memphis Redbirds	—	155	143	27	5	0	2	5	46	4	1	0	189	237	266	503	77	255	30	3	217	33	—	—	—	—	—	—
2007	24	AA MLE	Springfield Cardinals	—	47	44	7	2	0	0	1	13	1	0	0	159	196	205	400	45	251	28	2	200	22	—	—	—	—	—	—
2008	25	AA MLE	Springfield Cardinals	—	245	223	48	9	0	2	10	57	3	2	1	215	258	283	541	67	265	23	4	241	49	—	—	—	—	—	—
2009	26	AAA MLE	Memphis Redbirds	—	291	260	49	6	0	4	19	101	3	0	1	188	252	258	509	69	267	35	7	221	36	—	—	—	—	—	—
2010	27	MLB MLE	St. Louis Cardinals	—	44	39	14	2	0	1	2	8	1	0	0	359	405	487	892	128	433	18	5	382	145	+2	+0	-1	+6	+1	0.8
2010	27	AAA MLE	Memphis Redbirds	—	242	215	46	10	0	1	19	64	3	0	0	214	287	274	561	60	288	26	8	247	53	—	—	—	—	—	—
2011	28	MLB MLE	Pittsburgh Pirates	—	34	29	8	0	0	0	1	10	1	0	0	276	323	276	598		421	29	3	256	59	-2	+0	-2	+4	+1	0.1
2011	28	AAA MLE	Colorado Springs Sky Sox	—	198	183	39	10	1	2	11	56	1	0	2	213	262	311	573	98	293	28	6	257	60	—	—	—	—	—	—
2012	29	AAA MLE	Columbus Clippers	—	292	256	48	10	0	5	22	87	5	0	0	188	265	285	550	98	239	30	8	241	49	—	—	—	—	—	—
2013	30	MLB MLE	Houston Astros	—	22	21	3	0	0	0	1	3	0	0	0	143	182	143	325		167	14	5	155	-9	-3	+0	-1	+6	+0	0.3
2013	30	AAA MLE	Gwinnett Braves	—	321	297	52	8	1	5	14	79	5	0	0	175	225	259	484	84	216	25	4	214	31	—	—	—	—	—	—
2014	31	AAA MLE	Nashville Sounds	—	259	236	41	4	0	9	12	84	7	1	0	174	235	305	540	131	211	32	5	230	42	—	—	—	—	—	—
2015	32	AAA MLE	Reno Aces	—	205	187	40	6	1	3	11	39	0	0	1	214	258	305	562	91	231	19	5	238	47	—	—	—	—	—	—
2015	32	AA MLE	Mobile BayBears	—	32	27	4	0	0	0	4	14	1	0	0	148	281	148	429		329	44	12	229	41	—	—	—	—	—	—
2005	22	A+ MLE	2 teams	—	252	231	35	10	0	1	16	79	3	3	2	152	216	208	424	56	225	31	6	193	17	—	—	—	—	—	—
2005	22	A+ RAW	2 teams	—	252	223	41	12	0	1	23	57	3	3	2	184	268	251	519	67	242	23	9	242	17	—	—	—	—	—	—
2006	23	A+ MLE	Palm Beach Cardinals	—	295	273	47	13	2	2	15	95	5	0	1	172	229	256	485	84	256	32	5	214	31	—	—	—	—	—	—
2006	23	A+ RAW	Palm Beach Cardinals	—	295	268	58	15	3	3	20	67	5	0	1	216	283	328	612	112	278	23	7	276	31	—	—	—	—	—	—
2007	24	AAA MLE	2 teams	—	202	186	35	7	0	2	7	60	5	1	0	188	237	258	495	70	264	30	3	213	30	—	—	—	—	—	—
2007	24	AAA RAW	2 teams	—	202	184	40	9	0	2	9	47	5	1	0	217	273	299	572	82	279	23	4	257	30	—	—	—	—	—	—
2008	25	AA MLE	Springfield Cardinals	—	245	223	48	9	0	2	10	57	3	2	1	215	258	283	541	67	275	23	4	241	49	—	—	—	—	—	—
2008	25	AA RAW	Springfield Cardinals	—	245	216	51	10	0	3	16	47	3	2	1	236	297	324	621	88	284	19	7	273	49	—	—	—	—	—	—
2009	26	AAA MLE	Memphis Redbirds	—	291	260	49	6	0	4	19	101	3	0	1	188	252	258	509	69	287	35	7	221	36	—	—	—	—	—	—
2009	26	AAA RAW	Memphis Redbirds	—	291	253	56	7	0	5	26	78	3	0	1	221	301	308	610	87	297	27	9	273	36	—	—	—	—	—	—
2010	27	AAA MLE	3 teams	—	314	279	66	13	0	2	23	79	4	0	0	237	304	305	609	68	323	25	7	268	67	—	—	—	—	—	—
2010	27	AAA RAW	3 teams	—	314	273	68	14	0	2	29	64	4	0	0	249	330	322	652	73	319	20	9	294	67	—	—	—	—	—	—
2011	28	AAA MLE	2 teams	—	232	212	47	10	1	2	12	66	2	0	2	222	270	307	577	85	310	28	5	257	60	—	—	—	—	—	—
2011	28	AAA RAW	2 teams	—	232	207	57	13	2	3	17	50	2	0	2	275	336	401	737	126	348	22	7	322	60	—	—	—	—	—	—
2012	29	AAA MLE	Columbus Clippers	—	292	256	48	10	0	5	22	87	5	0	0	188	265	285	550	98	256	30	8	241	49	—	—	—	—	—	—
2012	29	AAA RAW	Columbus Clippers	—	292	245	55	12	0	7	33	71	5	0	0	224	329	359	688	135	281	24	11	306	49	—	—	—	—	—	—
2013	30	AAA MLE	2 teams	—	343	318	55	8	1	5	15	82	5	0	0	173	222	252	473	79	216	24	4	210	28	—	—	—	—	—	—
2013	30	AAA RAW	2 teams	—	343	311	64	10	1	6	22	67	5	0	0	206	269	302	571	96	243	20	6	258	28	—	—	—	—	—	—
2014	31	AAA MLE	2 teams	—	279	254	44	4	0	10	13	91	8	1	0	173	236	307	543	134	222	33	5	230	42	—	—	—	—	—	—
2014	31	AAA RAW	2 teams	—	279	243	53	6	0	12	24	68	8	1	0	218	309	391	700	173	252	24	9	312	42	—	—	—	—	—	—
2015	32	AAA MLE	2 teams	—	237	214	44	6	1	3	15	52	1	0	1	206	261	285	546	79	253	22	6	237	46	—	—	—	—	—	—
2015	32	AAA RAW	2 teams	—	237	204	51	8	1	4	25	40	1	0	1	250	335	358	693	108	288	17	11	307	46	—	—	—	—	—	—
2005	22	A+ MLE	2 teams	—	252	231	35	10	0	1	16	79	3	3	2	152	216	208	424	56	224	31	6	193	17	—	—	—	—	—	—
2006	23	A+ MLE	Palm Beach Cardinals	—	295	273	47	13	2	2	15	95	5	0	1	172	229	256	485	84	248	32	5	214	31	—	—	—	—	—	—
2007	24	AAA MLE	2 teams	—	202	188	35	7	0	2	7	60	5	1	0	186	237	255	493	69	254	30	3	213	30	—	—	—	—	—	—
2008	25	AA MLE	Springfield Cardinals	—	245	230	48	9	0	2	10	57	3	2	1	209	258	274	532	65	265	23	4	241	49	—	—	—	—	—	—
2009	26	AAA MLE	Memphis Redbirds	—	291	267	49	6	0	4	19	101	3	0	1	184	252	251	503	67	267	35	7	221	36	—	—	—	—	—	—
2010	27	AAA MLE	3 teams	—	314	284	66	13	0	2	23	79	4	0	0	232	304	299	603	67	310	25	7	268	67	—	—	—	—	—	—
2011	28	AAA MLE	2 teams	—	232	216	47	10	1	2	12	66	2	0	2	218	270	301	571	83	312	28	5	257	60	—	—	—	—	—	—
2012	29	AAA MLE	Columbus Clippers	—	292	263	48	10	0	5	22	87	5	0	0	183	265	278	543	95	239	30	8	241	49	—	—	—	—	—	—
2013	30	AAA MLE	2 teams	—	343	320	55	8	1	5	15	82	5	0	0	172	222	250	472	78	213	24	4	210	28	—	—	—	—	—	—
2014	31	AAA MLE	2 teams	—	279	256	44	4	0	10	13	91	8	1	0	172	236	305	541	133	211	33	5	230	42	—	—	—	—	—	—
2015	32	AAA MLE	2 teams	—	237	219	44	6	1	3	15	52	1	0	1	201	261	279	539	78	244	22	6	237	46	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	100	89	25	2	0	1	4	21	2	0	0	281	326	337	663	56	358	21	4	288	42	-2	+0	-4	+16	+2	1.2
/ 162G	—	A+C		—	650	578	162	13	0	6	26	136	13	0	0	280	325	334	659	54	358	21	4	288	42	-15	+0	-27	+103	+14	7.7
Career	—	MLE		—	2982	2706	518	96	5	38	167	849	44	7	8	191	250	273	523	81	262	28	6	230	42	-2	+0	-4	+16	+2	1.2
/ 162G	—	MLE		—	650	590	113	21	1	8	36	185	10	2	2	192	250	271	521	80	263	28	6	230	42	-15	+0	-27	+103	+14	7.7

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.

2015 AAAReno Aces · 205 PAwOBA .298 → .238 (−61)K% 14.1% → 18.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.15%	÷0.969	×1.290	—	—	18.82%
BB% (unintentional) /PA	7.80%	÷0.997	×0.710	—	×0.942	5.24%
HBP% /PA	0.00%	—	×0.980	—	×0.942	0.00%
Singles /BIP	21.85%	÷0.964	×0.900	×0.987	×0.942	18.97%
Doubles /BIP	5.30%	÷1.083	×0.810	×0.987	×0.942	3.69%
Triples /BIP	0.66%	÷1.150	×0.810	×0.987	×0.942	0.43%
Home runs /BIP	2.65%	÷1.027	×0.780	—	×0.942	1.90%

Factors used: league row PCL. Park (home-season share, regressed): HR 105, 1B 93, 2B 117, 3B 130, K 94, BB 99 — applied at half strength. Age: age 33 vs a level average of 27.2 → −5.8% on BB/HBP/hit rates (5.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.987.

Result: wOBA .298 → .238; ISO .122 → .089; BABIP .280 → .231. 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).

2015 AAMobile BayBears · 32 PAwOBA .311 → .229 (−82)K% 34.4% → 43.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	34.38%	÷0.975	×1.220	—	—	43.00%
BB% (unintentional) /PA	21.88%	÷1.043	×0.680	—	×0.940	13.40%
HBP% /PA	3.12%	—	×0.840	—	×0.940	2.47%
Singles /BIP	38.46%	÷1.011	×0.920	—	×0.940	32.89%
Doubles /BIP	0.00%	÷0.961	×0.910	—	×0.940	0.00%
Triples /BIP	0.00%	÷0.921	×0.880	—	×0.940	0.00%
Home runs /BIP	0.00%	÷1.098	×0.800	—	×0.940	0.00%

Factors used: league row SL. Park (home-season share, regressed): HR 120, 1B 102, 2B 92, 3B 84, K 95, BB 109 — applied at half strength. Age: age 33 vs a level average of 24.8 → −6.0% on BB/HBP/hit rates (8.2 yr older than average).

Result: wOBA .311 → .229; ISO .000 → .000; BABIP .385 → .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).

2014 AAANashville Sounds · 259 PAwOBA .291 → .230 (−61)K% 24.3% → 32.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.32%	÷0.964	×1.290	—	—	32.55%
BB% (unintentional) /PA	6.95%	÷1.040	×0.710	—	×0.952	4.52%
HBP% /PA	2.70%	—	×0.980	—	×0.952	2.52%
Singles /BIP	20.00%	÷0.975	×0.900	×1.006	×0.952	17.68%
Doubles /BIP	3.03%	÷1.051	×0.810	×1.006	×0.952	2.24%
Triples /BIP	0.00%	÷1.018	×0.810	×1.006	×0.952	0.00%
Home runs /BIP	6.67%	÷0.875	×0.780	—	×0.952	5.66%

Factors used: league row PCL. Park (home-season share, regressed): HR 75, 1B 95, 2B 110, 3B 104, K 93, BB 108 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.006.

Result: wOBA .291 → .230; ISO .167 → .132; BABIP .247 → .211. 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 AAAGwinnett Braves · 321 PAwOBA .259 → .214 (−45)K% 19.9% → 24.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.94%	÷0.971	×1.200	—	—	24.63%
BB% (unintentional) /PA	6.54%	÷0.991	×0.690	—	×0.962	4.38%
HBP% /PA	1.56%	—	×0.940	—	×0.962	1.41%
Singles /BIP	19.47%	÷1.038	×0.930	×1.020	×0.962	17.11%
Doubles /BIP	4.42%	÷0.964	×0.830	×1.020	×0.962	3.74%
Triples /BIP	0.44%	÷1.047	×0.970	×1.020	×0.962	0.40%
Home runs /BIP	2.65%	÷0.949	×0.840	—	×0.962	2.26%

Factors used: league row IL. Park (home-season share, regressed): HR 90, 1B 108, 2B 93, 3B 109, K 94, BB 98 — applied at half strength. Age: age 31 vs a level average of 27.2 → −3.8% on BB/HBP/hit rates (3.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.020.

Result: wOBA .259 → .214; ISO .103 → .087; BABIP .249 → .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).

2012 AAAColumbus Clippers · 292 PAwOBA .302 → .241 (−62)K% 24.3% → 29.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.32%	÷0.974	×1.200	—	—	29.95%
BB% (unintentional) /PA	11.30%	÷0.998	×0.690	—	×0.972	7.59%
HBP% /PA	1.71%	—	×0.940	—	×0.972	1.56%
Singles /BIP	20.69%	÷1.002	×0.930	×0.982	×0.972	18.33%
Doubles /BIP	6.90%	÷0.999	×0.830	×0.982	×0.972	5.47%
Triples /BIP	0.00%	÷1.101	×0.970	×0.982	×0.972	0.00%
Home runs /BIP	4.02%	÷1.178	×0.840	—	×0.972	2.79%

Factors used: league row IL. Park (home-season share, regressed): HR 136, 1B 100, 2B 100, 3B 120, K 95, BB 100 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.982.

Result: wOBA .302 → .241; ISO .135 → .100; BABIP .281 → .239. 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 AAAColorado Springs Sky Sox · 198 PAwOBA .327 → .257 (−70)K% 20.2% → 28.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.20%	÷0.925	×1.290	—	—	28.18%
BB% (unintentional) /PA	8.08%	÷0.972	×0.710	—	×0.982	5.80%
HBP% /PA	0.51%	—	×0.980	—	×0.982	0.49%
Singles /BIP	22.46%	÷1.016	×0.900	×1.033	×0.982	20.17%
Doubles /BIP	9.42%	÷0.992	×0.810	×1.033	×0.982	7.80%
Triples /BIP	1.45%	÷1.150	×0.810	×1.033	×0.982	1.04%
Home runs /BIP	2.17%	÷1.029	×0.780	—	×0.982	1.62%

Factors used: league row PCL. Park (home-season share, regressed): HR 106, 1B 103, 2B 98, 3B 130, K 85, BB 94 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.033.

Result: wOBA .327 → .257; ISO .146 → .107; BABIP .338 → .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 AAAMemphis Redbirds · 242 PAwOBA .287 → .247 (−40)K% 20.2% → 26.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.25%	÷0.995	×1.290	—	—	26.26%
BB% (unintentional) /PA	10.74%	÷0.958	×0.710	—	×0.992	7.90%
HBP% /PA	1.24%	—	×0.980	—	×0.992	1.21%
Singles /BIP	24.05%	÷0.988	×0.900	×1.032	×0.992	22.43%
Doubles /BIP	6.96%	÷0.928	×0.810	×1.032	×0.992	6.22%
Triples /BIP	0.00%	÷0.900	×0.810	×1.032	×0.992	0.00%
Home runs /BIP	0.63%	÷1.163	×0.780	—	×0.992	0.42%

Factors used: league row PCL. Park (home-season share, regressed): HR 133, 1B 98, 2B 86, 3B 80, K 99, BB 92 — 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 ×1.032.

Result: wOBA .287 → .247; ISO .068 → .057; BABIP .312 → .288. 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 AAAMemphis Redbirds · 291 PAwOBA .268 → .221 (−47)K% 26.8% → 34.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	26.80%	÷1.000	×1.290	—	—	34.58%
BB% (unintentional) /PA	8.93%	÷1.000	×0.710	—	×1.003	6.36%
HBP% /PA	1.03%	—	×0.980	—	×1.003	1.01%
Singles /BIP	25.14%	÷1.000	×0.900	×1.020	×1.003	23.14%
Doubles /BIP	4.00%	÷1.000	×0.810	×1.020	×1.003	3.31%
Triples /BIP	0.00%	÷1.000	×0.810	×1.020	×1.003	0.00%
Home runs /BIP	2.86%	÷1.000	×0.780	—	×1.003	2.24%

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 ×1.020.

Result: wOBA .268 → .221; ISO .087 → .067; BABIP .297 → .267. 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 — .