Alex Avila

PosC

B/TL/R

Born1987-01-29

Age (2027)40

No MLB projection yet. Career stats below are historical.

Overview

MLBLAST SEASON 2021

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR
2019	32	MLBARI	201	.207/.353/.421	9	1	106	2.2
2020	33	MLBMIN	62	.184/.355/.286	1	0	96	0.3
2021	34	MLBWSH	111	.191/.345/.348	1	0	99	0.6
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 3.0

Contract

No contract data on file.

Skills · percentileStatcast 2019-2021

Barrel%89

xwOBA73

Avg EV56

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)
2008	21	A	West Michigan Whitecaps	—	244	213	65	14	0	1	27	41	1	0	1	305	386	385	771	80	370	17	11	348	84	—	—	—	—	—	—
2009	22	MLB	Detroit Tigers	—	72	61	17	4	0	5	10	18	0	0	0	279	380	590	970	311	308	25	14	413	166	+6	+0	+0	+8	+2	1.6
2009	22	AA	Erie SeaWolves	—	387	329	87	23	1	12	52	77	1	2	1	264	366	450	816	185	310	20	13	360	100	—	—	—	—	—	—
2010	23	MLB	Detroit Tigers	—	333	294	67	12	0	7	36	71	2	2	2	228	316	340	656	112	278	21	11	300	93	-3	-0	+2	+6	+7	1.2
2011	24	MLB	Detroit Tigers	—	551	464	137	33	4	19	73	131	3	3	1	295	394	506	901	211	366	24	13	390	147	+31	+0	+5	+10	+12	5.9
2012	25	MLB	Detroit Tigers	—	434	367	89	21	2	9	61	104	2	2	0	243	353	384	738	142	312	24	14	333	113	+7	+0	+15	+8	+9	4.0
2013	26	MLB	Detroit Tigers	—	379	330	75	14	1	11	44	112	1	0	0	227	320	376	696	148	305	30	12	312	101	+0	+0	+5	+8	+8	2.2
2013	26	AAA	Toledo Mud Hens	—	51	44	11	3	0	1	7	12	0	0	0	250	353	386	739	136	323	24	14	336	74	—	—	—	—	—	—
2014	27	MLB	Detroit Tigers	—	457	390	85	22	0	11	61	151	3	0	3	218	328	359	687	141	322	33	13	313	100	+0	-1	+6	+8	+10	2.3
2015	28	MLB	Detroit Tigers	—	219	178	34	5	0	4	40	66	0	0	1	191	339	287	626	96	278	30	18	298	90	-3	-0	-6	+4	+5	0.0
2015	28	AAA	Toledo Mud Hens	—	22	20	6	0	0	1	0	8	0	0	0	300	300	450	750	150	385	36	0	300	94	—	—	—	—	—	—
2016	29	MLB	Chicago White Sox	—	209	169	36	6	0	7	38	78	1	0	0	213	361	373	733	160	341	37	18	337	113	+3	+0	-2	+4	+5	1.1
2016	29	AAA	Charlotte Knights	—	30	24	8	1	0	1	6	7	0	0	0	333	467	500	967	167	438	23	20	433	127	—	—	—	—	—	—
2017	30	MLB	Chicago Cubs	—	376	311	82	13	1	14	62	120	1	0	1	264	388	447	835	183	382	32	16	373	137	+16	-0	-5	+7	+8	2.7
2018	31	MLB	Arizona Diamondbacks	—	234	194	32	6	0	7	37	90	1	0	0	165	302	304	606	139	253	38	16	282	73	-8	+0	+11	+4	+5	1.3
2019	32	MLB	Arizona Diamondbacks	—	201	164	34	8	0	9	36	68	1	1	0	207	353	421	774	213	287	34	18	349	106	+1	+0	+12	+4	+4	2.2
2020	33	MLB	Minnesota Twins	—	62	49	9	2	0	1	11	22	2	0	0	184	355	286	641	102	308	35	18	310	96	-0	+0	+0	+1	+1	0.3
2021	34	MLB	Washington Nationals	—	111	89	17	9	1	1	19	37	2	0	0	191	345	348	694	157	314	33	17	319	99	-0	+0	+2	+2	+2	0.6
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	3638	3060	714	155	9	105	528	1068	19	8	8	233	350	393	742	159	319	29	15	335	113	+54	-2	+47	+74	+79	25.7
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2008	21	A MLE	West Michigan Whitecaps	—	244	221	59	12	0	1	19	56	1	0	1	267	328	335	663	68	342	23	8	292	84	—	—	—	—	—	—
2009	22	MLB MLE	Detroit Tigers	—	72	61	17	4	0	5	10	18	0	0	0	279	380	590	970	311	308	25	14	413	166	+6	+0	+0	+8	+2	1.6
2009	22	AA MLE	Erie SeaWolves	—	387	345	86	21	1	10	36	94	1	2	1	249	322	403	725	154	307	24	9	316	100	—	—	—	—	—	—
2010	23	MLB MLE	Detroit Tigers	—	333	294	68	12	0	7	36	71	2	2	2	231	319	344	663	112	278	21	11	305	93	-3	-0	+2	+6	+7	1.2
2011	24	MLB MLE	Detroit Tigers	—	551	473	140	34	4	20	64	131	3	3	1	296	383	512	895	216	366	24	12	385	147	+31	+0	+5	+10	+12	5.9
2012	25	MLB MLE	Detroit Tigers	—	434	369	90	21	2	9	59	104	2	2	0	244	351	385	736	141	312	24	14	335	113	+7	+0	+15	+8	+9	4.0
2013	26	MLB MLE	Detroit Tigers	—	379	330	76	14	1	11	44	112	1	0	0	230	323	379	701	148	305	30	12	317	101	+0	+0	+5	+8	+8	2.2
2013	26	AAA MLE	Toledo Mud Hens	—	51	46	11	3	0	1	5	14	0	0	0	239	314	370	683	130	292	27	10	277	74	—	—	—	—	—	—
2014	27	MLB MLE	Detroit Tigers	—	457	391	87	23	0	11	60	151	3	0	3	223	330	366	696	143	322	33	13	316	100	+0	-1	+6	+8	+10	2.3
2015	28	MLB MLE	Detroit Tigers	—	219	178	34	5	0	4	40	66	0	0	1	191	339	287	626	96	278	30	18	302	90	-3	-0	-6	+4	+5	0.0
2015	28	AAA MLE	Toledo Mud Hens	—	22	20	6	0	0	1	0	10	0	0	0	300	300	450	750	150	358	45	0	307	94	—	—	—	—	—	—
2016	29	MLB MLE	Chicago White Sox	—	209	169	36	6	0	7	38	78	1	0	0	213	361	373	733	160	341	37	18	335	113	+3	+0	-2	+4	+5	1.1
2016	29	AAA MLE	Charlotte Knights	—	30	26	8	1	0	1	4	8	0	0	0	308	400	462	862	154	381	27	13	356	127	—	—	—	—	—	—
2017	30	MLB MLE	Chicago Cubs	—	376	313	83	13	1	15	60	120	1	0	1	265	385	457	842	192	382	32	16	370	137	+16	-0	-5	+7	+8	2.7
2018	31	MLB MLE	Arizona Diamondbacks	—	234	196	31	5	0	7	35	90	1	0	0	158	289	291	580	133	253	38	15	276	73	-8	+0	+11	+4	+5	1.3
2019	32	MLB MLE	Arizona Diamondbacks	—	201	171	34	7	0	10	29	68	1	1	0	199	318	415	734	216	287	34	14	325	106	+1	+0	+12	+4	+4	2.2
2020	33	MLB MLE	Minnesota Twins	—	62	49	9	2	0	1	11	22	2	0	0	184	355	286	641	102	308	35	18	310	96	-0	+0	+0	+1	+1	0.3
2021	34	MLB MLE	Washington Nationals	—	111	90	17	9	1	1	18	37	2	0	0	189	336	344	681	156	314	33	16	314	99	-0	+0	+2	+2	+2	0.6
2008	21	A MLE	West Michigan Whitecaps	—	244	221	59	12	0	1	19	56	1	0	1	267	328	335	663	68	349	23	8	292	84	—	—	—	—	—	—
2008	21	A RAW	West Michigan Whitecaps	—	244	213	65	14	0	1	27	41	1	0	1	305	386	385	771	80	370	17	11	348	84	—	—	—	—	—	—
2009	22	AA MLE	2 teams	—	459	406	103	25	1	15	46	112	1	2	1	254	331	431	762	177	312	24	10	331	110	—	—	—	—	—	—
2009	22	AA RAW	2 teams	—	459	390	104	27	1	17	62	95	1	2	1	267	369	472	840	205	310	21	14	368	110	—	—	—	—	—	—
2010	23	MLB MLE	Detroit Tigers	—	333	294	68	12	0	7	36	71	2	2	2	231	319	344	663	112	282	21	11	305	93	-3	-0	+2	+6	+7	1.2
2010	23	MLB RAW	Detroit Tigers	—	333	294	67	12	0	7	36	71	2	2	2	228	316	340	656	112	278	21	11	300	93	-3	-0	+2	+6	+7	1.2
2011	24	MLB MLE	Detroit Tigers	—	551	473	140	34	4	20	64	131	3	3	1	296	383	512	895	216	364	24	12	385	147	+31	+0	+5	+10	+12	5.9
2011	24	MLB RAW	Detroit Tigers	—	551	464	137	33	4	19	73	131	3	3	1	295	394	506	901	211	366	24	13	390	147	+31	+0	+5	+10	+12	5.9
2012	25	MLB MLE	Detroit Tigers	—	434	369	90	21	2	9	59	104	2	2	0	244	351	385	736	141	314	24	14	335	113	+7	+0	+15	+8	+9	4.0
2012	25	MLB RAW	Detroit Tigers	—	434	367	89	21	2	9	61	104	2	2	0	243	353	384	738	142	312	24	14	333	113	+7	+0	+15	+8	+9	4.0
2013	26	MLB MLE	2 teams	—	430	376	86	17	1	12	49	126	1	0	0	229	319	375	694	146	307	29	11	313	98	-1	+0	+5	+8	+9	2.1
2013	26	MLB RAW	2 teams	—	430	374	86	17	1	12	51	124	1	0	0	230	324	377	701	147	307	29	12	315	98	-1	+0	+5	+8	+9	2.1
2014	27	MLB MLE	Detroit Tigers	—	457	391	87	23	0	11	60	151	3	0	3	223	330	366	696	143	329	33	13	316	100	+0	-1	+6	+8	+10	2.3
2014	27	MLB RAW	Detroit Tigers	—	457	390	85	22	0	11	61	151	3	0	3	218	328	359	687	141	322	33	13	313	100	+0	-1	+6	+8	+10	2.3
2015	28	MLB MLE	2 teams	—	241	198	40	5	0	5	40	76	0	0	1	202	336	303	639	101	294	32	17	302	91	-3	-0	-6	+4	+5	0.1
2015	28	MLB RAW	2 teams	—	241	198	40	5	0	5	40	74	0	0	1	202	336	303	639	101	289	31	17	298	91	-3	-0	-6	+4	+5	0.1
2016	29	MLB MLE	2 teams	—	239	195	44	7	0	8	42	86	1	0	0	226	366	385	750	159	353	36	18	338	115	+4	+0	-2	+4	+5	1.2
2016	29	MLB RAW	2 teams	—	239	193	44	7	0	8	44	85	1	0	0	228	374	389	763	161	356	36	18	349	115	+4	+0	-2	+4	+5	1.2
2017	30	MLB MLE	Chicago Cubs	—	376	313	83	13	1	15	60	120	1	0	1	265	385	457	842	192	380	32	16	370	137	+16	-0	-5	+7	+8	2.7
2017	30	MLB RAW	Chicago Cubs	—	376	311	82	13	1	14	62	120	1	0	1	264	388	447	835	183	382	32	16	373	137	+16	-0	-5	+7	+8	2.7
2018	31	MLB MLE	Arizona Diamondbacks	—	234	196	31	5	0	7	35	90	1	0	0	158	289	291	580	133	238	38	15	276	73	-8	+0	+11	+4	+5	1.3
2018	31	MLB RAW	Arizona Diamondbacks	—	234	194	32	6	0	7	37	90	1	0	0	165	302	304	606	139	253	38	16	282	73	-8	+0	+11	+4	+5	1.3
2019	32	MLB MLE	Arizona Diamondbacks	—	201	171	34	7	0	10	29	68	1	1	0	199	318	415	734	216	258	34	14	325	106	+1	+0	+12	+4	+4	2.2
2019	32	MLB RAW	Arizona Diamondbacks	—	201	164	34	8	0	9	36	68	1	1	0	207	353	421	774	213	287	34	18	349	106	+1	+0	+12	+4	+4	2.2
2020	33	MLB MLE	Minnesota Twins	—	62	49	9	2	0	1	11	22	2	0	0	184	355	286	641	102	308	35	18	310	96	-0	+0	+0	+1	+1	0.3
2020	33	MLB RAW	Minnesota Twins	—	62	49	9	2	0	1	11	22	2	0	0	184	355	286	641	102	308	35	18	310	96	-0	+0	+0	+1	+1	0.3
2021	34	MLB MLE	Washington Nationals	—	111	90	17	9	1	1	18	37	2	0	0	189	336	344	681	156	308	33	16	314	99	-0	+0	+2	+2	+2	0.6
2021	34	MLB RAW	Washington Nationals	—	111	89	17	9	1	1	19	37	2	0	0	191	345	348	694	157	314	33	17	319	99	-0	+0	+2	+2	+2	0.6
2008	21	A MLE	West Michigan Whitecaps	—	244	222	59	12	0	1	19	56	1	0	1	266	328	333	661	68	342	23	8	292	84	—	—	—	—	—	—
2009	22	AA MLE	2 teams	—	459	409	103	25	1	15	46	112	1	2	1	252	331	428	759	176	307	24	10	331	110	—	—	—	—	—	—
2010	23	MLB MLE	Detroit Tigers	—	333	292	68	12	0	7	36	71	2	2	2	233	319	346	665	113	278	21	11	305	93	—	—	—	—	—	—
2011	24	MLB MLE	Detroit Tigers	—	551	479	140	34	4	20	64	131	3	3	1	292	383	505	889	213	366	24	12	385	147	—	—	—	—	—	—
2012	25	MLB MLE	Detroit Tigers	—	434	370	90	21	2	9	59	104	2	2	0	243	351	384	735	141	312	24	14	335	113	—	—	—	—	—	—
2013	26	MLB MLE	2 teams	—	430	377	86	17	1	12	49	126	1	0	0	228	319	374	693	146	303	29	11	313	98	—	—	—	—	—	—
2014	27	MLB MLE	Detroit Tigers	—	457	391	87	23	0	11	60	151	3	0	3	223	330	366	696	143	322	33	13	316	100	—	—	—	—	—	—
2015	28	MLB MLE	2 teams	—	241	199	40	5	0	5	40	76	0	0	1	201	336	302	638	101	285	32	17	302	91	—	—	—	—	—	—
2016	29	MLB MLE	2 teams	—	239	194	44	7	0	8	42	86	1	0	0	227	366	387	752	160	346	36	18	338	115	—	—	—	—	—	—
2017	30	MLB MLE	Chicago Cubs	—	376	312	83	13	1	15	60	120	1	0	1	266	385	458	843	192	382	32	16	370	137	—	—	—	—	—	—
2018	31	MLB MLE	Arizona Diamondbacks	—	234	196	31	5	0	7	35	90	1	0	0	158	289	291	580	133	253	38	15	276	73	—	—	—	—	—	—
2019	32	MLB MLE	Arizona Diamondbacks	—	201	169	34	7	0	10	29	68	1	1	0	201	318	420	739	219	287	34	14	325	106	—	—	—	—	—	—
2020	33	MLB MLE	Minnesota Twins	—	62	49	9	2	0	1	11	22	2	0	0	184	355	286	641	102	308	35	18	310	96	—	—	—	—	—	—
2021	34	MLB MLE	Washington Nationals	—	111	90	17	9	1	1	18	37	2	0	0	189	336	344	681	156	314	33	16	314	99	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	3638	3060	714	155	9	105	528	1068	19	8	8	233	350	393	742	159	319	29	15	335	109	+54	-2	+47	+74	+79	25.7
/ 162G	—	A+C		—	650	547	129	28	2	19	94	191	3	1	1	236	351	399	749	163	323	29	14	335	109	+10	-0	+8	+13	+14	4.6
Career	—	MLE		—	4372	3742	891	192	10	122	568	1250	21	10	10	238	342	393	734	154	321	29	13	329	109	+54	-2	+47	+74	+79	25.7
/ 162G	—	MLE		—	650	556	132	29	1	18	84	186	3	1	1	237	340	390	730	153	320	29	13	329	109	+10	-0	+8	+13	+14	4.6

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.

2016 AAACharlotte Knights · 30 PAwOBA .422 → .356 (−66)K% 23.3% → 26.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.33%	÷1.053	×1.200	—	—	26.60%
BB% (unintentional) /PA	20.00%	÷0.990	×0.690	—	×0.982	13.69%
HBP% /PA	0.00%	—	×0.940	—	×0.982	0.00%
Singles /BIP	35.29%	÷1.031	×0.930	—	×0.982	31.25%
Doubles /BIP	5.88%	÷0.974	×0.830	—	×0.982	4.92%
Triples /BIP	0.00%	÷0.926	×0.970	—	×0.982	0.00%
Home runs /BIP	5.88%	÷0.950	×0.840	—	×0.982	5.11%

Factors used: league row IL. Park (home-season share, regressed): HR 90, 1B 106, 2B 95, 3B 85, K 111, BB 98 — 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 .422 → .356; ISO .167 → .151; BABIP .438 → .381. 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 AAAToledo Mud Hens · 22 PAwOBA .320 → .307 (−13)K% 36.4% → 43.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	36.36%	÷1.000	×1.200	—	—	43.65%
BB% (unintentional) /PA	0.00%	÷1.085	×0.690	—	×0.992	0.00%
HBP% /PA	0.00%	—	×0.940	—	×0.992	0.00%
Singles /BIP	41.67%	÷0.988	×0.930	—	×0.992	38.89%
Doubles /BIP	0.00%	÷1.083	×0.830	—	×0.992	0.00%
Triples /BIP	0.00%	÷1.150	×0.970	—	×0.992	0.00%
Home runs /BIP	8.33%	÷0.911	×0.840	—	×0.992	7.62%

Factors used: league row IL. Park (home-season share, regressed): HR 82, 1B 98, 2B 117, 3B 130, K 100, BB 117 — 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).

Result: wOBA .320 → .307; ISO .150 → .142; BABIP .385 → .358. 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 AAAToledo Mud Hens · 51 PAwOBA .328 → .277 (−51)K% 23.5% → 27.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.53%	÷1.011	×1.200	—	—	27.93%
BB% (unintentional) /PA	13.73%	÷1.041	×0.690	—	×1.018	9.26%
HBP% /PA	0.00%	—	×0.940	—	×1.018	0.00%
Singles /BIP	21.88%	÷1.016	×0.930	—	×1.018	20.38%
Doubles /BIP	9.38%	÷0.994	×0.830	—	×1.018	7.97%
Triples /BIP	0.00%	÷1.150	×0.970	—	×1.018	0.00%
Home runs /BIP	3.12%	÷0.883	×0.840	—	×1.018	3.03%

Factors used: league row IL. Park (home-season share, regressed): HR 77, 1B 103, 2B 99, 3B 130, K 102, BB 108 — 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 .328 → .277; ISO .136 → .124; BABIP .323 → .292. 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 AAErie SeaWolves · 387 PAwOBA .351 → .316 (−35)K% 19.9% → 24.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.90%	÷1.000	×1.220	—	—	24.27%
BB% (unintentional) /PA	12.92%	÷1.000	×0.700	—	×1.042	9.42%
HBP% /PA	0.26%	—	×0.850	—	×1.042	0.23%
Singles /BIP	20.24%	÷1.000	×0.970	×1.025	×1.042	20.97%
Doubles /BIP	9.13%	÷1.000	×0.860	×1.025	×1.042	8.38%
Triples /BIP	0.40%	÷1.000	×0.950	×1.025	×1.042	0.40%
Home runs /BIP	4.76%	÷1.000	×0.780	—	×1.042	3.87%

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 ×1.025.

Result: wOBA .351 → .316; ISO .185 → .162; BABIP .310 → .307. 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 AWest Michigan Whitecaps · 244 PAwOBA .342 → .292 (−51)K% 16.8% → 22.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.80%	÷1.000	×1.360	—	—	22.85%
BB% (unintentional) /PA	11.07%	÷1.000	×0.690	—	×1.015	7.75%
HBP% /PA	0.41%	—	×0.780	—	×1.015	0.32%
Singles /BIP	29.07%	÷1.000	×0.920	×1.013	×1.015	27.49%
Doubles /BIP	8.14%	÷1.000	×0.830	×1.013	×1.015	6.94%
Triples /BIP	0.00%	÷1.000	×0.910	×1.013	×1.015	0.00%
Home runs /BIP	0.58%	÷1.000	×0.800	—	×1.015	0.47%

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 21 vs a level average of 22.0 → +1.5% on BB/HBP/hit rates (1.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.013.

Result: wOBA .342 → .292; ISO .080 → .066; BABIP .370 → .342. 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).