Clint Barmes

PosSS

B/TR/R

Born1979-03-06

Age (2027)48

No MLB projection yet. Career stats below are historical.

Overview

AAALAST SEASON 2016

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2014	35	MLBPIT	116	.245/.330/.294	0	1	74	0.3
2015	36	MLBSD	224	.232/.281/.353	3	0	76	0.2
2016	37	AAAKC	107	.204/.257/.306	1	0	19	—	.170/.210/.260
2017	38	No MLB games played
2018	39	No MLB games played
2019	40	No MLB games played
2020	41	No MLB games played
2021	42	No MLB games played
2022	43	No MLB games played
2023	44	No MLB games played
2024	45	No MLB games played
2025	46	No MLB games played
2026	47	No MLB games played

Last 3 seasons WAR 0.5

Contract

No contract data on file.

Skills · percentileStatcast 2015

Speed22

Barrel%10

xwOBA10

Avg EV10

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)
2003	24	MLB	Colorado Rockies	—	28	25	8	2	0	0	0	10	2	0	0	320	370	400	770	80	500	36	0	338	115	+0	+0	-2	+0	+1	-0.1
2004	25	MLB	Colorado Rockies	—	77	71	20	3	1	2	3	10	1	0	1	282	320	437	757	155	305	13	4	326	107	+1	-0	+3	+1	+2	0.6
2005	26	MLB	Colorado Rockies	—	377	350	101	19	1	10	16	36	6	6	4	289	331	434	765	146	298	10	4	336	112	+5	-0	+6	+4	+8	2.4
2005	26	AA	Tulsa Drillers	—	35	34	11	1	0	0	1	3	0	1	0	324	343	353	696	29	355	9	3	315	68	—	—	—	—	—	—
2006	27	MLB	Colorado Rockies	—	535	478	105	26	4	7	22	72	9	5	4	220	267	335	602	115	241	13	4	258	55	-28	-1	+14	+6	+12	0.2
2007	28	MLB	Colorado Rockies	—	39	37	8	3	0	0	1	13	0	0	0	216	237	297	534	81	333	33	3	233	32	-3	+0	-1	+6	+1	0.2
2007	28	AAA	Colorado Springs Sky Sox	—	477	428	128	20	6	11	22	52	22	8	6	299	364	451	815	152	320	11	5	361	80	—	—	—	—	—	—
2008	29	MLB	Colorado Rockies	—	417	393	114	25	6	11	17	69	2	13	4	290	323	468	791	178	328	17	4	343	118	+9	+1	+4	+2	+9	2.6
2008	29	AAA	Colorado Springs Sky Sox	—	20	18	5	0	0	0	1	1	1	0	0	278	350	278	628		294	5	5	298	58	—	—	—	—	—	—
2009	30	MLB	Colorado Rockies	—	604	550	135	32	3	23	31	121	10	12	10	245	298	440	738	195	271	20	5	319	100	+0	-2	+11	+2	+13	2.5
2010	31	MLB	Colorado Rockies	—	432	387	91	21	0	8	35	66	5	3	2	235	307	351	658	116	263	15	8	296	69	-16	-0	+7	+2	+9	0.1
2011	32	MLB	Houston Astros	—	495	446	109	27	0	12	38	88	7	3	1	244	314	386	699	141	279	18	8	312	94	-4	+0	+14	+5	+11	2.7
2012	33	MLB	Pittsburgh Pirates	—	493	455	104	16	1	8	20	106	8	0	2	229	273	321	594	92	280	22	4	264	63	-22	-1	+13	+5	+11	0.7
2013	34	MLB	Pittsburgh Pirates	—	330	304	64	15	0	5	14	70	2	0	0	211	250	309	559	99	257	21	4	245	48	-20	+0	+3	+4	+7	-0.7
2014	35	MLB	Pittsburgh Pirates	—	116	102	25	5	0	0	9	18	4	1	1	245	330	294	625	49	294	16	8	291	74	-4	-0	+3	+1	+3	0.3
2014	35	AAA	Indianapolis Indians	—	21	19	3	0	0	1	1	1	0	0	0	158	200	316	516	158	111	5	5	218	20	—	—	—	—	—	—
2015	36	MLB	San Diego Padres	—	224	207	48	14	1	3	10	55	4	0	1	232	281	353	633	121	302	25	4	281	76	-6	-0	+1	+2	+5	0.2
2016	37	AAA	Omaha Storm Chasers	—	107	98	20	7	0	1	5	18	2	0	0	204	257	306	563	102	237	17	5	251	19	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	4167	3805	932	208	17	89	216	734	60	43	30	245	296	379	675	134	280	18	5	296	87	-67	-3	+76	+40	+90	13.9
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2003	24	MLB MLE	Colorado Rockies	—	28	25	8	2	0	0	0	10	2	0	0	320	370	400	770	80	500	36	0	338	115	+0	+0	-2	+0	+1	-0.1
2004	25	MLB MLE	Colorado Rockies	—	77	71	20	3	1	2	3	10	1	0	1	282	320	437	757	155	305	13	4	326	107	+1	-0	+3	+1	+2	0.6
2005	26	MLB MLE	Colorado Rockies	—	377	351	101	19	1	10	15	36	6	6	4	288	328	433	761	145	298	10	4	334	112	+5	-0	+6	+4	+8	2.4
2005	26	AA MLE	Tulsa Drillers	—	35	34	10	1	0	0	1	4	0	1	0	294	314	324	638	29	320	11	3	269	68	—	—	—	—	—	—
2006	27	MLB MLE	Colorado Rockies	—	535	484	105	26	4	7	16	72	9	5	4	217	255	331	586	114	241	13	3	250	55	-28	-1	+14	+6	+12	0.2
2007	28	MLB MLE	Colorado Rockies	—	39	38	8	3	0	0	0	13	0	0	0	211	211	289	500	79	333	33	0	215	32	-3	+0	-1	+6	+1	0.2
2007	28	AAA MLE	Colorado Springs Sky Sox	—	477	435	105	15	5	8	15	67	22	8	6	241	301	354	655	113	263	14	3	287	80	—	—	—	—	—	—
2008	29	MLB MLE	Colorado Rockies	—	417	393	114	25	6	11	17	69	2	13	4	290	323	468	791	178	328	17	4	343	118	+9	+1	+4	+2	+9	2.6
2008	29	AAA MLE	Colorado Springs Sky Sox	—	20	18	4	0	0	0	1	1	1	0	0	222	300	222	522		260	5	5	254	58	—	—	—	—	—	—
2009	30	MLB MLE	Colorado Rockies	—	604	552	135	32	3	23	29	121	10	12	10	245	294	438	733	194	271	20	5	316	100	+0	-2	+11	+2	+13	2.5
2010	31	MLB MLE	Colorado Rockies	—	432	397	87	20	0	7	25	66	5	3	2	219	274	322	596	103	263	15	6	270	69	-16	-0	+7	+2	+9	0.1
2011	32	MLB MLE	Houston Astros	—	495	448	108	26	0	12	36	88	7	3	1	241	308	379	687	138	279	18	7	307	94	-4	+0	+14	+5	+11	2.7
2012	33	MLB MLE	Pittsburgh Pirates	—	493	458	104	15	1	9	17	106	8	0	2	227	267	323	590	96	280	22	3	261	63	-22	-1	+13	+5	+11	0.7
2013	34	MLB MLE	Pittsburgh Pirates	—	330	307	63	14	0	5	11	70	2	0	0	205	237	300	537	94	257	21	3	239	48	-20	+0	+3	+4	+7	-0.7
2014	35	MLB MLE	Pittsburgh Pirates	—	116	104	25	5	0	0	7	18	4	1	1	240	313	288	602	48	294	16	6	277	74	-4	-0	+3	+1	+3	0.3
2014	35	AAA MLE	Indianapolis Indians	—	21	19	3	0	0	1	1	1	0	0	0	158	200	316	516	158	91	5	5	198	20	—	—	—	—	—	—
2015	36	MLB MLE	San Diego Padres	—	224	209	49	15	1	3	8	55	4	0	1	234	276	359	635	124	302	25	4	281	76	-6	-0	+1	+2	+5	0.2
2016	37	AAA MLE	Omaha Storm Chasers	—	107	100	17	6	0	1	3	22	2	0	0	170	210	260	470	90	198	21	3	197	19	—	—	—	—	—	—
2003	24	MLB MLE	Colorado Rockies	—	28	25	8	2	0	0	0	10	2	0	0	320	370	400	770	80	500	36	0	338	115	+0	+0	-2	+0	+1	-0.1
2003	24	MLB RAW	Colorado Rockies	—	28	25	8	2	0	0	0	10	2	0	0	320	370	400	770	80	500	36	0	338	115	+0	+0	-2	+0	+1	-0.1
2004	25	MLB MLE	Colorado Rockies	—	77	71	20	3	1	2	3	10	1	0	1	282	320	437	757	155	305	13	4	326	107	+1	-0	+3	+1	+2	0.6
2004	25	MLB RAW	Colorado Rockies	—	77	71	20	3	1	2	3	10	1	0	1	282	320	437	757	155	305	13	4	326	107	+1	-0	+3	+1	+2	0.6
2005	26	MLB MLE	2 teams	—	412	385	111	20	1	10	16	40	6	7	4	288	327	423	750	135	301	10	4	329	108	+4	-0	+6	+4	+9	2.4
2005	26	MLB RAW	2 teams	—	412	384	112	20	1	10	17	39	6	7	4	292	332	427	759	135	304	9	4	334	108	+4	-0	+6	+4	+9	2.4
2006	27	MLB MLE	Colorado Rockies	—	535	484	105	26	4	7	16	72	9	5	4	217	255	331	586	114	238	13	3	250	55	-28	-1	+14	+6	+12	0.2
2006	27	MLB RAW	Colorado Rockies	—	535	478	105	26	4	7	22	72	9	5	4	220	267	335	602	115	241	13	4	258	55	-28	-1	+14	+6	+12	0.2
2007	28	AAA MLE	2 teams	—	516	473	113	18	5	8	15	80	22	8	6	239	294	349	643	110	272	16	3	282	77	—	—	—	—	—	—
2007	28	AAA RAW	2 teams	—	516	465	136	23	6	11	23	65	22	8	6	292	355	439	794	146	321	13	4	351	77	—	—	—	—	—	—
2008	29	MLB MLE	2 teams	—	437	411	118	25	6	11	18	70	3	13	4	287	322	457	779	170	323	16	4	339	116	+8	+1	+4	+2	+9	2.5
2008	29	MLB RAW	2 teams	—	437	411	119	25	6	11	18	70	3	13	4	290	324	460	784	170	326	16	4	341	116	+8	+1	+4	+2	+9	2.5
2009	30	MLB MLE	Colorado Rockies	—	604	552	135	32	3	23	29	121	10	12	10	245	294	438	733	194	270	20	5	316	100	+0	-2	+11	+2	+13	2.5
2009	30	MLB RAW	Colorado Rockies	—	604	550	135	32	3	23	31	121	10	12	10	245	298	440	738	195	271	20	5	319	100	+0	-2	+11	+2	+13	2.5
2010	31	MLB MLE	Colorado Rockies	—	432	397	87	20	0	7	25	66	5	3	2	219	274	322	596	103	245	15	6	270	69	-16	-0	+7	+2	+9	0.1
2010	31	MLB RAW	Colorado Rockies	—	432	387	91	21	0	8	35	66	5	3	2	235	307	351	658	116	263	15	8	296	69	-16	-0	+7	+2	+9	0.1
2011	32	MLB MLE	Houston Astros	—	495	448	108	26	0	12	36	88	7	3	1	241	308	379	687	138	274	18	7	307	94	-4	+0	+14	+5	+11	2.7
2011	32	MLB RAW	Houston Astros	—	495	446	109	27	0	12	38	88	7	3	1	244	314	386	699	141	279	18	8	312	94	-4	+0	+14	+5	+11	2.7
2012	33	MLB MLE	Pittsburgh Pirates	—	493	458	104	15	1	9	17	106	8	0	2	227	267	323	590	96	275	22	3	261	63	-22	-1	+13	+5	+11	0.7
2012	33	MLB RAW	Pittsburgh Pirates	—	493	455	104	16	1	8	20	106	8	0	2	229	273	321	594	92	280	22	4	264	63	-22	-1	+13	+5	+11	0.7
2013	34	MLB MLE	Pittsburgh Pirates	—	330	307	63	14	0	5	11	70	2	0	0	205	237	300	537	94	249	21	3	239	48	-20	+0	+3	+4	+7	-0.7
2013	34	MLB RAW	Pittsburgh Pirates	—	330	304	64	15	0	5	14	70	2	0	0	211	250	309	559	99	257	21	4	245	48	-20	+0	+3	+4	+7	-0.7
2014	35	MLB MLE	2 teams	—	137	123	28	5	0	1	8	19	4	1	1	228	296	293	589	65	257	14	6	265	66	-6	-0	+3	+1	+3	0.1
2014	35	MLB RAW	2 teams	—	137	121	28	5	0	1	10	19	4	1	1	231	311	298	609	66	262	14	7	280	66	-6	-0	+3	+1	+3	0.1
2015	36	MLB MLE	San Diego Padres	—	224	209	49	15	1	3	8	55	4	0	1	234	276	359	635	124	305	25	4	281	76	-6	-0	+1	+2	+5	0.2
2015	36	MLB RAW	San Diego Padres	—	224	207	48	14	1	3	10	55	4	0	1	232	281	353	633	121	302	25	4	281	76	-6	-0	+1	+2	+5	0.2
2016	37	AAA MLE	Omaha Storm Chasers	—	107	100	17	6	0	1	3	22	2	0	0	170	210	260	470	90	205	21	3	197	19	—	—	—	—	—	—
2016	37	AAA RAW	Omaha Storm Chasers	—	107	98	20	7	0	1	5	18	2	0	0	204	257	306	563	102	237	17	5	251	19	—	—	—	—	—	—
2003	24	MLB MLE	Colorado Rockies	—	28	26	8	2	0	0	0	10	2	0	0	308	370	385	755	77	500	36	0	338	115	—	—	—	—	—	—
2004	25	MLB MLE	Colorado Rockies	—	77	73	20	3	1	2	3	10	1	0	1	274	320	425	745	151	305	13	4	326	107	—	—	—	—	—	—
2005	26	MLB MLE	2 teams	—	412	387	111	20	1	10	16	40	6	7	4	287	327	421	748	134	300	10	4	329	108	—	—	—	—	—	—
2006	27	MLB MLE	Colorado Rockies	—	535	505	105	26	4	7	16	72	9	5	4	208	255	317	572	109	241	13	3	250	55	—	—	—	—	—	—
2007	28	AAA MLE	2 teams	—	516	474	113	18	5	8	15	80	22	8	6	238	294	348	642	110	268	16	3	282	77	—	—	—	—	—	—
2008	29	MLB MLE	2 teams	—	437	413	118	25	6	11	18	70	3	13	4	286	322	455	777	169	325	16	4	339	116	—	—	—	—	—	—
2009	30	MLB MLE	Colorado Rockies	—	604	560	135	32	3	23	29	121	10	12	10	241	294	432	727	191	271	20	5	316	100	—	—	—	—	—	—
2010	31	MLB MLE	Colorado Rockies	—	432	399	87	20	0	7	25	66	5	3	2	218	274	321	595	103	263	15	6	270	69	—	—	—	—	—	—
2011	32	MLB MLE	Houston Astros	—	495	449	108	26	0	12	36	88	7	3	1	241	308	379	686	138	279	18	7	307	94	—	—	—	—	—	—
2012	33	MLB MLE	Pittsburgh Pirates	—	493	465	104	15	1	9	17	106	8	0	2	224	267	318	585	95	280	22	3	261	63	—	—	—	—	—	—
2013	34	MLB MLE	Pittsburgh Pirates	—	330	314	63	14	0	5	11	70	2	0	0	201	237	293	530	92	257	21	3	239	48	—	—	—	—	—	—
2014	35	MLB MLE	2 teams	—	137	124	28	5	0	1	8	19	4	1	1	226	296	290	587	65	263	14	6	265	66	—	—	—	—	—	—
2015	36	MLB MLE	San Diego Padres	—	224	210	49	15	1	3	8	55	4	0	1	233	276	357	633	124	302	25	4	281	76	—	—	—	—	—	—
2016	37	AAA MLE	Omaha Storm Chasers	—	107	101	17	6	0	1	3	22	2	0	0	168	210	257	467	89	198	21	3	197	19	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	4167	3805	932	208	17	89	216	734	60	43	30	245	296	379	675	134	280	18	5	296	80	-67	-3	+76	+40	+90	13.9
/ 162G	—	A+C		—	650	594	145	32	3	14	34	114	9	7	5	244	295	379	674	135	279	18	5	296	80	-10	-1	+12	+6	+14	2.2
Career	—	MLE		—	4827	4443	1066	227	22	99	205	829	85	52	36	240	286	368	654	128	273	17	4	287	80	-67	-3	+76	+40	+90	13.9
/ 162G	—	MLE		—	650	598	144	31	3	13	28	112	11	7	5	241	287	368	655	127	275	17	4	287	80	-10	-1	+12	+6	+14	2.2

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 AAAOmaha Storm Chasers · 107 PAwOBA .247 → .197 (−50)K% 16.8% → 20.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.82%	÷1.040	×1.290	—	—	20.87%
BB% (unintentional) /PA	4.67%	÷1.006	×0.710	—	×0.940	3.10%
HBP% /PA	1.87%	—	×0.980	—	×0.940	1.72%
Singles /BIP	15.00%	÷0.968	×0.900	×0.978	×0.940	12.82%
Doubles /BIP	8.75%	÷0.929	×0.810	×0.978	×0.940	7.01%
Triples /BIP	0.00%	÷1.068	×0.810	×0.978	×0.940	0.00%
Home runs /BIP	1.25%	÷1.054	×0.780	—	×0.940	0.87%

Factors used: league row PCL. Park (home-season share, regressed): HR 111, 1B 94, 2B 86, 3B 114, K 108, BB 101 — applied at half strength. Age: age 37 vs a level average of 27.2 → −6.0% on BB/HBP/hit rates (9.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.978.

Result: wOBA .247 → .197; ISO .102 → .078; BABIP .237 → .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).

2014 AAAIndianapolis Indians · 21 PAwOBA .223 → .198 (−24)K% 4.8% → 5.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	4.76%	÷0.968	×1.200	—	—	5.90%
BB% (unintentional) /PA	4.76%	÷0.944	×0.690	—	×0.940	3.27%
HBP% /PA	0.00%	—	×0.940	—	×0.940	0.00%
Singles /BIP	11.11%	÷1.068	×0.930	—	×0.940	9.09%
Doubles /BIP	0.00%	÷0.932	×0.830	—	×0.940	0.00%
Triples /BIP	0.00%	÷1.150	×0.970	—	×0.940	0.00%
Home runs /BIP	5.56%	÷0.854	×0.840	—	×0.940	5.14%

Factors used: league row IL. Park (home-season share, regressed): HR 71, 1B 114, 2B 86, 3B 130, K 94, BB 89 — applied at half strength. Age: age 35 vs a level average of 27.2 → −6.0% on BB/HBP/hit rates (7.8 yr older than average).

Result: wOBA .223 → .198; ISO .158 → .155; BABIP .111 → .091. 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 AAAColorado Springs Sky Sox · 20 PAwOBA .291 → .254 (−37)K% 5.0% → 6.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	5.00%	÷1.000	×1.290	—	—	6.45%
BB% (unintentional) /PA	5.00%	÷1.000	×0.710	—	×0.982	3.49%
HBP% /PA	5.00%	—	×0.980	—	×0.982	4.81%
Singles /BIP	29.41%	÷1.000	×0.900	—	×0.982	25.99%
Doubles /BIP	0.00%	÷1.000	×0.810	—	×0.982	0.00%
Triples /BIP	0.00%	÷1.000	×0.810	—	×0.982	0.00%
Home runs /BIP	0.00%	÷1.000	×0.780	—	×0.982	0.00%

Factors used: league row PCL. Park (home-season share, regressed): no park row on file (treated as neutral) — 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 .291 → .254; ISO .000 → .000; BABIP .294 → .260. 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 AAAColorado Springs Sky Sox · 477 PAwOBA .352 → .287 (−65)K% 10.9% → 14.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	10.90%	÷1.000	×1.290	—	—	14.06%
BB% (unintentional) /PA	4.61%	÷1.000	×0.710	—	×0.992	3.25%
HBP% /PA	4.61%	—	×0.980	—	×0.992	4.48%
Singles /BIP	24.20%	÷1.000	×0.900	×0.950	×0.992	20.53%
Doubles /BIP	5.32%	÷1.000	×0.810	×0.950	×0.992	4.06%
Triples /BIP	1.60%	÷1.000	×0.810	×0.950	×0.992	1.22%
Home runs /BIP	2.93%	÷1.000	×0.780	—	×0.992	2.26%

Factors used: league row PCL. Park (home-season share, regressed): no park row on file (treated as neutral) — 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 ×0.950.

Result: wOBA .352 → .287; ISO .152 → .116; BABIP .320 → .263. 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 AATulsa Drillers · 35 PAwOBA .307 → .269 (−38)K% 8.6% → 10.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	8.57%	÷1.000	×1.220	—	—	10.46%
BB% (unintentional) /PA	2.86%	÷1.000	×0.700	—	×0.988	1.98%
HBP% /PA	0.00%	—	×0.870	—	×0.988	0.00%
Singles /BIP	32.26%	÷1.000	×0.920	—	×0.988	29.32%
Doubles /BIP	3.23%	÷1.000	×0.840	—	×0.988	2.68%
Triples /BIP	0.00%	÷1.000	×0.940	—	×0.988	0.00%
Home runs /BIP	0.00%	÷1.000	×0.800	—	×0.988	0.00%

Factors used: league row TL. 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 24.8 → −1.2% on BB/HBP/hit rates (1.2 yr older than average).

Result: wOBA .307 → .269; ISO .029 → .024; BABIP .355 → .320. 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).