Miguel Montero

PosC

B/TL/R

Born1983-07-09

Age (2027)44

No MLB projection yet. Career stats below are historical.

Overview

MLBLAST SEASON 2017

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR
2015	32	MLBCHC	403	.248/.348/.409	15	1	111	3.9
2016	33	MLBCHC	284	.216/.330/.357	8	1	90	2.1
2017	34	MLBTOR	213	.216/.313/.346	6	1	86	0.7
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 6.7

Contract

No contract data on file.

Skills · percentileStatcast 2016-2018

Barrel%24

xwOBA22

Avg EV10

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	22	AA	Tennessee Smokies	—	120	108	27	1	2	2	7	26	3	1	0	250	314	352	665	102	309	22	6	297	59	—	—	—	—	—	—
2005	22	A+	Lancaster JetHawks	—	399	355	124	24	1	24	26	52	10	1	2	349	409	625	1.035	276	351	13	7	440	141	—	—	—	—	—	—
2006	23	MLB	Arizona Diamondbacks	—	17	16	4	1	0	0	1	3	0	0	0	250	294	312	607	62	308	18	6	276	73	-1	+0	+0	+9	+0	0.9
2006	23	AAA	Tucson Sidewinders	—	154	134	43	5	0	7	14	21	4	1	1	321	401	515	916	194	333	14	9	401	118	—	—	—	—	—	—
2006	23	AA	Tennessee Smokies	—	337	289	78	18	0	10	39	44	5	0	3	270	366	436	802	166	285	13	12	356	89	—	—	—	—	—	—
2007	24	MLB	Arizona Diamondbacks	—	244	214	48	7	0	10	20	35	3	0	0	224	300	397	697	173	217	14	8	303	88	-4	+0	+0	+4	+5	0.7
2008	25	MLB	Arizona Diamondbacks	—	207	184	47	16	1	5	19	49	2	0	0	255	332	435	766	179	321	24	9	338	108	+2	+0	+6	+4	+4	1.7
2008	25	AAA	Tucson Sidewinders	—	38	32	9	2	0	1	5	3	1	0	0	281	395	438	832	156	286	8	13	376	101	—	—	—	—	—	—
2009	26	MLB	Arizona Diamondbacks	—	470	425	125	30	0	16	38	78	3	1	2	294	356	478	834	184	327	17	8	366	129	+16	-1	+25	+8	+10	6.1
2010	27	MLB	Arizona Diamondbacks	—	331	297	79	20	2	9	29	71	2	0	1	266	335	438	773	172	318	21	9	341	106	+2	-0	+15	+6	+7	3.1
2010	27	AAA	Reno Aces	—	17	15	5	0	0	0	1	0	1	0	0	333	412	333	745		333	0	6	350	97	—	—	—	—	—	—
2011	28	MLB	Arizona Diamondbacks	—	553	493	139	36	1	18	47	97	8	1	1	282	354	469	823	187	317	18	8	362	116	+11	-0	+33	+10	+12	6.7
2012	29	MLB	Arizona Diamondbacks	—	573	486	139	25	2	15	73	130	12	0	0	286	392	438	831	152	362	23	13	374	129	+20	+0	+23	+10	+12	6.7
2013	30	MLB	Arizona Diamondbacks	—	475	413	95	14	0	11	51	110	5	0	0	230	322	344	666	114	282	23	11	302	84	-9	+0	+16	+9	+10	2.6
2013	30	ROK	ACL D-backs	—	23	19	5	2	0	0	4	4	0	0	0	263	391	368	760	105	333	17	17	351	42	—	—	—	—	—	—
2014	31	MLB	Arizona Diamondbacks	—	560	489	119	23	0	13	56	97	9	0	4	243	332	370	702	127	275	17	10	317	87	-8	-2	+26	+10	+12	3.9
2015	32	MLB	Chicago Cubs	—	403	347	86	11	0	15	49	103	4	1	1	248	347	409	757	161	306	26	12	339	111	+5	-0	+16	+7	+9	3.9
2015	32	AA	Tennessee Smokies	—	16	16	3	0	0	1	0	3	0	0	0	188	188	375	562	188	167	19	0	243	3	—	—	—	—	—	—
2016	33	MLB	Chicago Cubs	—	284	241	52	8	1	8	38	58	3	1	0	216	330	357	687	141	249	20	13	313	90	-3	+0	+13	+5	+6	2.1
2017	34	MLB	Toronto Blue Jays	—	213	185	40	6	0	6	23	47	3	1	0	216	313	346	659	130	254	22	11	299	86	-3	+0	+2	+4	+5	0.7
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	4330	3790	973	197	7	126	444	878	54	5	9	257	343	412	755	155	300	20	10	337	114	+72	-3	+176	+88	+94	43.6
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2005	22	AA MLE	Tennessee Smokies	—	120	110	25	1	2	2	5	32	3	1	0	227	280	327	607	100	288	27	4	256	59	—	—	—	—	—	—
2005	22	A+ MLE	Lancaster JetHawks	—	399	362	109	19	1	22	19	70	10	1	2	301	353	541	894	240	304	18	5	376	141	—	—	—	—	—	—
2006	23	MLB MLE	Arizona Diamondbacks	—	17	16	4	1	0	0	1	3	0	0	0	250	294	312	607	62	308	18	6	276	73	-1	+0	+0	+9	+0	0.9
2006	23	AAA MLE	Tucson Sidewinders	—	154	138	39	4	0	6	10	27	4	1	1	283	349	442	791	159	303	18	6	343	118	—	—	—	—	—	—
2006	23	AA MLE	Tennessee Smokies	—	337	303	73	17	0	9	25	54	5	0	3	241	309	386	695	145	253	16	7	300	89	—	—	—	—	—	—
2007	24	MLB MLE	Arizona Diamondbacks	—	244	216	48	7	0	10	18	35	3	0	0	222	291	394	685	171	217	14	7	298	88	-4	+0	+0	+4	+5	0.7
2008	25	MLB MLE	Arizona Diamondbacks	—	207	187	47	16	1	5	16	49	2	0	0	251	317	428	745	176	321	24	8	328	108	+2	+0	+6	+4	+4	1.7
2008	25	AAA MLE	Tucson Sidewinders	—	38	34	9	2	0	1	3	4	1	0	0	265	342	412	754	147	257	11	8	317	101	—	—	—	—	—	—
2009	26	MLB MLE	Arizona Diamondbacks	—	470	430	125	30	0	16	33	78	3	1	2	291	345	472	818	181	327	17	7	359	129	+16	-1	+25	+8	+10	6.1
2010	27	MLB MLE	Arizona Diamondbacks	—	331	300	77	18	2	9	26	71	2	0	1	257	320	420	740	163	318	21	8	324	106	+2	-0	+15	+6	+7	3.1
2010	27	AAA MLE	Reno Aces	—	17	15	5	0	0	0	1	0	1	0	0	333	412	333	745		306	0	6	311	97	—	—	—	—	—	—
2011	28	MLB MLE	Arizona Diamondbacks	—	553	503	136	33	1	18	37	97	8	1	1	270	330	447	778	177	317	18	7	340	116	+11	-0	+33	+10	+12	6.7
2012	29	MLB MLE	Arizona Diamondbacks	—	573	492	137	23	2	15	67	130	12	0	0	278	378	425	803	146	362	23	12	359	129	+20	+0	+23	+10	+12	6.7
2013	30	MLB MLE	Arizona Diamondbacks	—	475	417	94	13	0	11	47	110	5	0	0	225	311	336	647	110	282	23	10	292	84	-9	+0	+16	+9	+10	2.6
2013	30	ROK MLE	ACL D-backs	—	23	21	3	1	0	0	2	6	0	0	0	143	217	190	408	48	244	26	9	231	42	—	—	—	—	—	—
2014	31	MLB MLE	Arizona Diamondbacks	—	560	500	117	21	0	13	45	97	9	0	4	234	309	354	663	120	275	17	8	297	87	-8	-2	+26	+10	+12	3.9
2015	32	MLB MLE	Chicago Cubs	—	403	352	87	11	0	16	44	103	4	1	1	247	338	415	752	168	306	26	11	332	111	+5	-0	+16	+7	+9	3.9
2015	32	AA MLE	Tennessee Smokies	—	16	16	3	0	0	1	0	4	0	0	0	188	188	375	562	188	137	25	0	172	3	—	—	—	—	—	—
2016	33	MLB MLE	Chicago Cubs	—	284	246	52	8	1	8	33	58	3	1	0	211	312	350	662	138	249	20	12	301	90	-3	+0	+13	+5	+6	2.1
2017	34	MLB MLE	Toronto Blue Jays	—	213	186	40	6	0	6	22	47	3	1	0	215	308	344	652	129	254	22	10	296	86	-3	+0	+2	+4	+5	0.7
2005	22	A+ MLE	2 teams	—	519	472	134	20	3	24	24	102	13	2	2	284	336	492	827	208	312	20	5	348	122	—	—	—	—	—	—
2005	22	A+ RAW	2 teams	—	519	463	151	25	3	26	33	78	13	2	2	326	387	562	949	235	342	15	6	407	122	—	—	—	—	—	—
2006	23	AA MLE	3 teams	—	508	456	114	22	0	14	37	84	9	1	4	250	319	390	709	140	275	17	7	312	97	—	—	—	—	—	—
2006	23	AA RAW	3 teams	—	508	439	125	24	0	17	54	68	9	1	4	285	375	456	830	171	300	13	11	367	97	—	—	—	—	—	—
2007	24	MLB MLE	Arizona Diamondbacks	—	244	216	48	7	0	10	18	35	3	0	0	222	291	394	685	171	215	14	7	298	88	-4	+0	+0	+4	+5	0.7
2007	24	MLB RAW	Arizona Diamondbacks	—	244	214	48	7	0	10	20	35	3	0	0	224	300	397	697	173	217	14	8	303	88	-4	+0	+0	+4	+5	0.7
2008	25	MLB MLE	2 teams	—	245	221	56	18	1	6	19	53	3	0	0	253	321	425	746	172	307	22	8	326	107	+2	+0	+6	+4	+5	1.8
2008	25	MLB RAW	2 teams	—	245	216	56	18	1	6	24	52	3	0	0	259	342	435	777	176	314	21	10	344	107	+2	+0	+6	+4	+5	1.8
2009	26	MLB MLE	Arizona Diamondbacks	—	470	430	125	30	0	16	33	78	3	1	2	291	345	472	818	181	322	17	7	359	129	+16	-1	+25	+8	+10	6.1
2009	26	MLB RAW	Arizona Diamondbacks	—	470	425	125	30	0	16	38	78	3	1	2	294	356	478	834	184	327	17	8	366	129	+16	-1	+25	+8	+10	6.1
2010	27	MLB MLE	2 teams	—	348	315	81	18	2	9	27	71	3	0	1	257	322	413	734	156	303	20	8	324	105	+2	-0	+15	+6	+8	3.2
2010	27	MLB RAW	2 teams	—	348	312	84	20	2	9	30	71	3	0	1	269	339	433	772	163	319	20	9	341	105	+2	-0	+15	+6	+8	3.2
2011	28	MLB MLE	Arizona Diamondbacks	—	553	503	136	33	1	18	37	97	8	1	1	270	330	447	778	177	301	18	7	340	116	+11	-0	+33	+10	+12	6.7
2011	28	MLB RAW	Arizona Diamondbacks	—	553	493	139	36	1	18	47	97	8	1	1	282	354	469	823	187	317	18	8	362	116	+11	-0	+33	+10	+12	6.7
2012	29	MLB MLE	Arizona Diamondbacks	—	573	492	137	23	2	15	67	130	12	0	0	278	378	425	803	146	350	23	12	359	129	+20	+0	+23	+10	+12	6.7
2012	29	MLB RAW	Arizona Diamondbacks	—	573	486	139	25	2	15	73	130	12	0	0	286	392	438	831	152	362	23	13	374	129	+20	+0	+23	+10	+12	6.7
2013	30	MLB MLE	2 teams	—	498	438	97	14	0	11	49	116	5	0	0	221	307	329	636	107	271	23	10	289	82	-11	+0	+16	+9	+11	2.5
2013	30	MLB RAW	2 teams	—	498	432	100	16	0	11	55	114	5	0	0	231	325	345	670	113	284	23	11	304	82	-11	+0	+16	+9	+11	2.5
2014	31	MLB MLE	Arizona Diamondbacks	—	560	500	117	21	0	13	45	97	9	0	4	234	309	354	663	120	263	17	8	297	87	-8	-2	+26	+10	+12	3.9
2014	31	MLB RAW	Arizona Diamondbacks	—	560	489	119	23	0	13	56	97	9	0	4	243	332	370	702	127	275	17	10	317	87	-8	-2	+26	+10	+12	3.9
2015	32	MLB MLE	2 teams	—	419	368	88	11	0	16	44	107	4	1	1	239	327	399	726	160	290	26	11	326	107	+3	-0	+16	+7	+9	3.7
2015	32	MLB RAW	2 teams	—	419	363	89	11	0	16	49	106	4	1	1	245	341	408	749	163	299	25	12	336	107	+3	-0	+16	+7	+9	3.7
2016	33	MLB MLE	Chicago Cubs	—	284	246	52	8	1	8	33	58	3	1	0	211	312	350	662	138	242	20	12	301	90	-3	+0	+13	+5	+6	2.1
2016	33	MLB RAW	Chicago Cubs	—	284	241	52	8	1	8	38	58	3	1	0	216	330	357	687	141	249	20	13	313	90	-3	+0	+13	+5	+6	2.1
2017	34	MLB MLE	Toronto Blue Jays	—	213	186	40	6	0	6	22	47	3	1	0	215	308	344	652	129	252	22	10	296	86	-3	+0	+2	+4	+5	0.7
2017	34	MLB RAW	Toronto Blue Jays	—	213	185	40	6	0	6	23	47	3	1	0	216	313	346	659	130	254	22	11	299	86	-3	+0	+2	+4	+5	0.7
2005	22	A+ MLE	2 teams	—	519	477	134	20	3	24	24	102	13	2	2	281	336	486	822	205	300	20	5	348	122	—	—	—	—	—	—
2006	23	AA MLE	3 teams	—	508	457	114	22	0	14	37	84	9	1	4	249	319	389	708	140	270	17	7	312	97	—	—	—	—	—	—
2007	24	MLB MLE	Arizona Diamondbacks	—	244	221	48	7	0	10	18	35	3	0	0	217	291	385	676	167	217	14	7	298	88	—	—	—	—	—	—
2008	25	MLB MLE	2 teams	—	245	221	56	18	1	6	19	53	3	0	0	253	321	425	746	172	311	22	8	326	107	—	—	—	—	—	—
2009	26	MLB MLE	Arizona Diamondbacks	—	470	431	125	30	0	16	33	78	3	1	2	290	345	471	816	181	327	17	7	359	129	—	—	—	—	—	—
2010	27	MLB MLE	2 teams	—	348	315	81	18	2	9	27	71	3	0	1	257	322	413	734	156	318	20	8	324	105	—	—	—	—	—	—
2011	28	MLB MLE	Arizona Diamondbacks	—	553	503	136	33	1	18	37	97	8	1	1	270	330	447	778	177	317	18	7	340	116	—	—	—	—	—	—
2012	29	MLB MLE	Arizona Diamondbacks	—	573	489	137	23	2	15	67	130	12	0	0	280	378	427	806	147	362	23	12	359	129	—	—	—	—	—	—
2013	30	MLB MLE	2 teams	—	498	441	97	14	0	11	49	116	5	0	0	220	307	327	633	107	280	23	10	289	82	—	—	—	—	—	—
2014	31	MLB MLE	Arizona Diamondbacks	—	560	501	117	21	0	13	45	97	9	0	4	234	309	353	662	120	275	17	8	297	87	—	—	—	—	—	—
2015	32	MLB MLE	2 teams	—	419	368	88	11	0	16	44	107	4	1	1	239	327	399	726	160	300	26	11	326	107	—	—	—	—	—	—
2016	33	MLB MLE	Chicago Cubs	—	284	246	52	8	1	8	33	58	3	1	0	211	312	350	662	138	249	20	12	301	90	—	—	—	—	—	—
2017	34	MLB MLE	Toronto Blue Jays	—	213	186	40	6	0	6	22	47	3	1	0	215	308	344	652	129	254	22	10	296	86	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	4330	3790	973	197	7	126	444	878	54	5	9	257	343	412	755	155	300	20	10	337	106	+72	-3	+176	+88	+94	43.6
/ 162G	—	A+C		—	650	569	147	30	1	19	67	132	8	1	1	258	345	415	760	156	302	20	10	337	106	+11	-0	+26	+13	+14	6.5
Career	—	MLE		—	5434	4843	1225	231	10	166	455	1075	78	8	15	253	327	408	735	155	290	20	8	324	106	+72	-3	+176	+88	+94	43.6
/ 162G	—	MLE		—	650	579	147	28	1	20	54	129	9	1	2	254	327	409	736	155	291	20	8	324	106	+11	-0	+26	+13	+14	6.5

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.

2015 AATennessee Smokies · 16 PAwOBA .235 → .172 (−64)K% 18.8% → 23.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.75%	÷0.967	×1.220	—	—	23.66%
BB% (unintentional) /PA	0.00%	÷0.959	×0.680	—	×0.940	0.00%
HBP% /PA	0.00%	—	×0.840	—	×0.940	0.00%
Singles /BIP	15.38%	÷1.026	×0.920	—	×0.940	12.97%
Doubles /BIP	0.00%	÷0.998	×0.910	—	×0.940	0.00%
Triples /BIP	0.00%	÷1.058	×0.880	—	×0.940	0.00%
Home runs /BIP	7.69%	÷1.048	×0.800	—	×0.940	5.52%

Factors used: league row SL. Park (home-season share, regressed): HR 110, 1B 105, 2B 100, 3B 112, K 93, BB 92 — applied at half strength. Age: age 32 vs a level average of 24.8 → −6.0% on BB/HBP/hit rates (7.2 yr older than average).

Result: wOBA .235 → .172; ISO .188 → .126; BABIP .167 → .137. 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 ROKACL D-backs · 23 PAwOBA .343 → .231 (−112)K% 17.4% → 25.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.39%	÷1.000	×1.440	—	—	25.04%
BB% (unintentional) /PA	17.39%	÷1.000	×0.620	—	×0.940	10.14%
HBP% /PA	0.00%	—	×0.720	—	×0.940	0.00%
Singles /BIP	20.00%	÷1.000	×0.820	—	×0.940	15.42%
Doubles /BIP	13.33%	÷1.000	×0.720	—	×0.940	9.02%
Triples /BIP	0.00%	÷1.000	×0.720	—	×0.940	0.00%
Home runs /BIP	0.00%	÷1.000	×0.780	—	×0.940	0.00%

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 30 vs a level average of 19.5 → −6.0% on BB/HBP/hit rates (10.5 yr older than average).

Result: wOBA .343 → .231; ISO .105 → .071; BABIP .333 → .244. 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 AAAReno Aces · 17 PAwOBA .342 → .311 (−31)K% 0.0% → 0.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	0.00%	÷0.938	×1.290	—	—	0.00%
BB% (unintentional) /PA	5.88%	÷1.093	×0.710	—	×1.003	3.83%
HBP% /PA	5.88%	—	×0.980	—	×1.003	5.78%
Singles /BIP	33.33%	÷0.984	×0.900	—	×1.003	30.57%
Doubles /BIP	0.00%	÷1.087	×0.810	—	×1.003	0.00%
Triples /BIP	0.00%	÷1.150	×0.810	—	×1.003	0.00%
Home runs /BIP	0.00%	÷1.061	×0.780	—	×1.003	0.00%

Factors used: league row PCL. Park (home-season share, regressed): HR 112, 1B 97, 2B 117, 3B 130, K 88, BB 119 — 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 .342 → .311; ISO .000 → .000; BABIP .333 → .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).

2008 AAATucson Sidewinders · 38 PAwOBA .358 → .317 (−42)K% 7.9% → 10.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	7.89%	÷1.000	×1.290	—	—	10.18%
BB% (unintentional) /PA	10.53%	÷1.000	×0.710	—	×1.033	7.72%
HBP% /PA	2.63%	—	×0.980	—	×1.033	2.66%
Singles /BIP	20.69%	÷1.000	×0.900	—	×1.033	19.24%
Doubles /BIP	6.90%	÷1.000	×0.810	—	×1.033	5.77%
Triples /BIP	0.00%	÷1.000	×0.810	—	×1.033	0.00%
Home runs /BIP	3.45%	÷1.000	×0.780	—	×1.033	2.78%

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).

Result: wOBA .358 → .317; ISO .156 → .133; BABIP .286 → .257. 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 AATennessee Smokies · 337 PAwOBA .348 → .300 (−48)K% 13.1% → 15.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.06%	÷1.000	×1.220	—	—	15.93%
BB% (unintentional) /PA	10.68%	÷1.000	×0.680	—	×1.027	7.46%
HBP% /PA	1.48%	—	×0.840	—	×1.027	1.28%
Singles /BIP	20.41%	÷1.000	×0.920	×0.950	×1.027	18.32%
Doubles /BIP	7.35%	÷1.000	×0.910	×0.950	×1.027	6.52%
Triples /BIP	0.00%	÷1.000	×0.880	×0.950	×1.027	0.00%
Home runs /BIP	4.08%	÷1.000	×0.800	—	×1.027	3.35%

Factors used: league row SL. 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 24.8 → +2.7% on BB/HBP/hit rates (1.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .348 → .300; ISO .166 → .146; BABIP .285 → .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).

2006 AAATucson Sidewinders · 154 PAwOBA .395 → .343 (−53)K% 13.6% → 17.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.64%	÷1.000	×1.290	—	—	17.59%
BB% (unintentional) /PA	9.09%	÷1.000	×0.710	—	×1.050	6.78%
HBP% /PA	2.60%	—	×0.980	—	×1.050	2.67%
Singles /BIP	27.43%	÷1.000	×0.900	×0.987	×1.050	25.59%
Doubles /BIP	4.42%	÷1.000	×0.810	×0.987	×1.050	3.71%
Triples /BIP	0.00%	÷1.000	×0.810	×0.987	×1.050	0.00%
Home runs /BIP	6.19%	÷1.000	×0.780	—	×1.050	5.07%

Factors used: league row PCL. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 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 ×0.987.

Result: wOBA .395 → .343; ISO .194 → .159; BABIP .333 → .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).

2005 A+Lancaster JetHawks · 399 PAwOBA .434 → .376 (−59)K% 13.0% → 17.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.03%	÷1.000	×1.340	—	—	17.46%
BB% (unintentional) /PA	6.52%	÷1.000	×0.710	—	×1.012	4.68%
HBP% /PA	2.51%	—	×0.790	—	×1.012	2.00%
Singles /BIP	24.75%	÷1.000	×0.910	×0.972	×1.012	22.15%
Doubles /BIP	7.92%	÷1.000	×0.820	×0.972	×1.012	6.39%
Triples /BIP	0.33%	÷1.000	×0.760	×0.972	×1.012	0.25%
Home runs /BIP	7.92%	÷1.000	×0.920	—	×1.012	7.37%

Factors used: league row CAL. 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 22.8 → +1.2% on BB/HBP/hit rates (0.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.972.

Result: wOBA .434 → .376; ISO .276 → .247; BABIP .351 → .304. 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 AATennessee Smokies · 120 PAwOBA .292 → .256 (−36)K% 21.7% → 26.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.67%	÷1.000	×1.220	—	—	26.43%
BB% (unintentional) /PA	5.83%	÷1.000	×0.680	—	×1.042	4.13%
HBP% /PA	2.50%	—	×0.840	—	×1.042	2.19%
Singles /BIP	26.83%	÷1.000	×0.920	×0.982	×1.042	25.27%
Doubles /BIP	1.22%	÷1.000	×0.910	×0.982	×1.042	1.14%
Triples /BIP	2.44%	÷1.000	×0.880	×0.982	×1.042	2.20%
Home runs /BIP	2.44%	÷1.000	×0.800	—	×1.042	2.03%

Factors used: league row SL. 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 ×0.982.

Result: wOBA .292 → .256; ISO .102 → .087; BABIP .309 → .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).