Michael McKenry

PosC

B/TR/R

Born1985-03-04

Age (2027)42

No MLB projection yet. Career stats below are historical.

Overview

AAALAST SEASON 2017

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2015	30	MLBCOL	152	.205/.331/.402	4	2	96	0.5
2016	31	AAAColorado Spri…	251	.285/.428/.500	7	2	79	—	.194/.304/.333
2017	32	AAATB	272	.209/.341/.324	4	0	42	—	.162/.256/.246
2018	33	No MLB games played
2019	34	No MLB games played
2020	35	No MLB games played
2021	36	No MLB games played
2022	37	No MLB games played
2023	38	No MLB games played
2024	39	No MLB games played
2025	40	No MLB games played
2026	41	No MLB games played

Last 3 seasons WAR 0.5

Contract

No contract data on file.

Skills · percentileStatcast 2015-2016

Barrel%63

xwOBA54

Avg EV49

Speed37

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)
2007	22	A	Asheville Tourists	—	485	408	117	35	1	22	66	84	6	8	9	287	394	539	933	252	312	17	14	405	103	—	—	—	—	—	—
2008	23	A+	Modesto Nuts	—	472	400	103	28	1	18	55	101	10	2	4	258	361	468	829	210	300	21	12	363	80	—	—	—	—	—	—
2009	24	AA	Tulsa Drillers	—	417	358	100	25	1	12	54	69	2	2	2	279	377	455	832	176	317	17	13	369	89	—	—	—	—	—	—
2010	25	AAA	Colorado Springs Sky Sox	—	384	347	92	23	1	10	32	77	2	1	1	265	331	424	754	159	312	20	8	334	61	—	—	—	—	—	—
2011	26	MLB	Pittsburgh Pirates	—	201	180	40	12	0	2	14	49	0	0	1	222	278	322	601	100	290	24	7	263	59	-10	-0	-3	+6	+4	-0.3
2011	26	AAA	Pawtucket Red Sox	—	111	95	26	5	0	3	14	24	1	1	0	274	373	421	794	147	333	22	13	355	80	—	—	—	—	—	—
2012	27	MLB	Pittsburgh Pirates	—	275	240	56	14	0	12	29	73	3	0	0	233	324	442	765	208	278	27	11	336	116	+5	+0	-10	+5	+6	0.6
2013	28	MLB	Pittsburgh Pirates	—	122	115	25	6	0	3	5	24	2	0	0	217	262	348	610	130	250	20	4	274	73	-4	+0	-8	+2	+3	-0.7
2014	29	MLB	Colorado Rockies	—	192	168	53	9	0	8	22	42	1	0	3	315	398	512	910	196	381	22	11	400	144	+10	-1	-5	+5	+4	1.4
2014	29	AAA	Colorado Springs Sky Sox	—	93	83	26	6	0	3	7	13	1	3	0	313	374	494	868	181	338	14	8	376	81	—	—	—	—	—	—
2015	30	MLB	Colorado Rockies	—	152	127	26	7	3	4	22	41	2	2	2	205	331	402	733	197	265	27	14	328	96	-1	-0	-0	+3	+3	0.5
2016	31	AAA	Colorado Springs Sky Sox	—	251	200	57	14	4	7	47	56	3	2	2	285	428	500	928	215	362	22	19	410	79	—	—	—	—	—	—
2017	32	AAA	Durham Bulls	—	272	225	47	14	0	4	42	73	3	0	1	209	341	324	665	116	287	27	15	309	42	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	942	830	200	48	3	29	92	229	8	2	6	241	323	411	733	170	296	24	10	324	106	+6	-2	-26	+20	+20	2.0
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2007	22	A MLE	Asheville Tourists	—	485	430	102	29	1	18	44	113	6	8	9	237	317	435	752	198	273	23	9	321	103	—	—	—	—	—	—
2008	23	A+ MLE	Modesto Nuts	—	472	416	86	21	1	16	39	135	10	2	4	207	290	377	668	171	253	29	8	286	80	—	—	—	—	—	—
2009	24	AA MLE	Tulsa Drillers	—	417	375	89	21	1	10	37	84	2	2	2	237	309	379	688	141	276	20	9	300	89	—	—	—	—	—	—
2010	25	AAA MLE	Colorado Springs Sky Sox	—	384	357	75	17	1	8	22	102	2	1	1	210	260	331	590	120	265	27	6	258	61	—	—	—	—	—	—
2011	26	MLB MLE	Pittsburgh Pirates	—	201	182	39	11	0	2	12	49	0	0	1	214	263	308	571	93	290	24	6	255	59	-10	-0	-3	+6	+4	-0.3
2011	26	AAA MLE	Pawtucket Red Sox	—	111	99	23	4	0	3	10	30	1	1	0	232	309	364	673	131	285	27	9	287	80	—	—	—	—	—	—
2012	27	MLB MLE	Pittsburgh Pirates	—	275	241	56	13	0	13	28	73	3	0	0	232	320	448	768	216	278	27	10	339	116	+5	+0	-10	+5	+6	0.6
2013	28	MLB MLE	Pittsburgh Pirates	—	122	115	25	6	0	3	5	24	2	0	0	217	262	348	610	130	250	20	4	276	73	-4	+0	-8	+2	+3	-0.7
2014	29	MLB MLE	Colorado Rockies	—	192	169	51	9	0	7	21	42	1	0	3	302	382	479	861	178	381	22	11	381	144	+10	-1	-5	+5	+4	1.4
2014	29	AAA MLE	Colorado Springs Sky Sox	—	93	85	20	4	0	2	5	18	1	3	0	235	286	353	639	118	271	19	5	288	81	—	—	—	—	—	—
2015	30	MLB MLE	Colorado Rockies	—	152	127	25	7	2	4	22	41	2	2	2	197	325	378	702	181	265	27	14	310	96	-1	-0	-0	+3	+3	0.5
2016	31	AAA MLE	Colorado Springs Sky Sox	—	251	216	42	9	3	5	31	75	3	2	2	194	304	333	637	139	266	30	12	285	79	—	—	—	—	—	—
2017	32	AAA MLE	Durham Bulls	—	272	240	39	11	0	3	27	85	3	0	1	163	256	246	501	83	227	31	10	230	42	—	—	—	—	—	—
2007	22	A MLE	Asheville Tourists	—	485	430	102	29	1	18	44	113	6	8	9	237	317	435	752	198	279	23	9	321	103	—	—	—	—	—	—
2007	22	A RAW	Asheville Tourists	—	485	408	117	35	1	22	66	84	6	8	9	287	394	539	933	252	312	17	14	405	103	—	—	—	—	—	—
2008	23	A+ MLE	Modesto Nuts	—	472	416	86	21	1	16	39	135	10	2	4	207	290	377	668	171	262	29	8	286	80	—	—	—	—	—	—
2008	23	A+ RAW	Modesto Nuts	—	472	400	103	28	1	18	55	101	10	2	4	258	361	468	829	210	300	21	12	363	80	—	—	—	—	—	—
2009	24	AA MLE	Tulsa Drillers	—	417	375	89	21	1	10	37	84	2	2	2	237	309	379	688	141	280	20	9	300	89	—	—	—	—	—	—
2009	24	AA RAW	Tulsa Drillers	—	417	358	100	25	1	12	54	69	2	2	2	279	377	455	832	176	317	17	13	369	89	—	—	—	—	—	—
2010	25	AAA MLE	Colorado Springs Sky Sox	—	384	357	75	17	1	8	22	102	2	1	1	210	260	331	590	120	268	27	6	258	61	—	—	—	—	—	—
2010	25	AAA RAW	Colorado Springs Sky Sox	—	384	347	92	23	1	10	32	77	2	1	1	265	331	424	754	159	312	20	8	334	61	—	—	—	—	—	—
2011	26	MLB MLE	2 teams	—	312	281	62	15	0	5	22	79	1	1	1	221	280	327	607	107	285	25	7	266	66	-12	-0	-3	+6	+7	-0.3
2011	26	MLB RAW	2 teams	—	312	275	66	17	0	5	28	73	1	1	1	240	312	356	669	116	305	23	9	296	66	-12	-0	-3	+6	+7	-0.3
2012	27	MLB MLE	Pittsburgh Pirates	—	275	241	56	13	0	13	28	73	3	0	0	232	320	448	768	216	272	27	10	339	116	+5	+0	-10	+5	+6	0.6
2012	27	MLB RAW	Pittsburgh Pirates	—	275	240	56	14	0	12	29	73	3	0	0	233	324	442	765	208	278	27	11	336	116	+5	+0	-10	+5	+6	0.6
2013	28	MLB MLE	Pittsburgh Pirates	—	122	115	25	6	0	3	5	24	2	0	0	217	262	348	610	130	250	20	4	276	73	-4	+0	-8	+2	+3	-0.7
2013	28	MLB RAW	Pittsburgh Pirates	—	122	115	25	6	0	3	5	24	2	0	0	217	262	348	610	130	250	20	4	274	73	-4	+0	-8	+2	+3	-0.7
2014	29	MLB MLE	2 teams	—	285	254	71	13	0	9	26	60	2	3	3	280	351	437	788	157	333	21	9	351	124	+8	-1	-5	+5	+6	1.4
2014	29	MLB RAW	2 teams	—	285	251	79	15	0	11	29	55	2	3	3	315	390	506	896	191	366	19	10	392	124	+8	-1	-5	+5	+6	1.4
2015	30	MLB MLE	Colorado Rockies	—	152	127	25	7	2	4	22	41	2	2	2	197	325	378	702	181	253	27	14	310	96	-1	-0	-0	+3	+3	0.5
2015	30	MLB RAW	Colorado Rockies	—	152	127	26	7	3	4	22	41	2	2	2	205	331	402	733	197	265	27	14	328	96	-1	-0	-0	+3	+3	0.5
2016	31	AAA MLE	Colorado Springs Sky Sox	—	251	216	42	9	3	5	31	75	3	2	2	194	304	333	637	139	270	30	12	285	79	—	—	—	—	—	—
2016	31	AAA RAW	Colorado Springs Sky Sox	—	251	200	57	14	4	7	47	56	3	2	2	285	428	500	928	215	362	22	19	410	79	—	—	—	—	—	—
2017	32	AAA MLE	Durham Bulls	—	272	240	39	11	0	3	27	85	3	0	1	163	256	246	501	83	234	31	10	230	42	—	—	—	—	—	—
2017	32	AAA RAW	Durham Bulls	—	272	225	47	14	0	4	42	73	3	0	1	209	341	324	665	116	287	27	15	309	42	—	—	—	—	—	—
2007	22	A MLE	Asheville Tourists	—	485	432	102	29	1	18	44	113	6	8	9	236	317	433	750	197	273	23	9	321	103	—	—	—	—	—	—
2008	23	A+ MLE	Modesto Nuts	—	472	420	86	21	1	16	39	135	10	2	4	205	290	374	664	169	253	29	8	286	80	—	—	—	—	—	—
2009	24	AA MLE	Tulsa Drillers	—	417	375	89	21	1	10	37	84	2	2	2	237	309	379	688	141	276	20	9	300	89	—	—	—	—	—	—
2010	25	AAA MLE	Colorado Springs Sky Sox	—	384	357	75	17	1	8	22	102	2	1	1	210	260	331	590	120	265	27	6	258	61	—	—	—	—	—	—
2011	26	MLB MLE	2 teams	—	312	286	62	15	0	5	22	79	1	1	1	217	280	322	601	105	288	25	7	266	66	—	—	—	—	—	—
2012	27	MLB MLE	Pittsburgh Pirates	—	275	242	56	13	0	13	28	73	3	0	0	231	320	446	766	215	278	27	10	339	116	—	—	—	—	—	—
2013	28	MLB MLE	Pittsburgh Pirates	—	122	114	25	6	0	3	5	24	2	0	0	219	262	351	613	132	250	20	4	276	73	—	—	—	—	—	—
2014	29	MLB MLE	2 teams	—	285	255	71	13	0	9	26	60	2	3	3	278	351	435	786	157	345	21	9	351	124	—	—	—	—	—	—
2015	30	MLB MLE	Colorado Rockies	—	152	127	25	7	2	4	22	41	2	2	2	197	325	378	702	181	265	27	14	310	96	—	—	—	—	—	—
2016	31	AAA MLE	Colorado Springs Sky Sox	—	251	215	42	9	3	5	31	75	3	2	2	195	304	335	639	140	266	30	12	285	79	—	—	—	—	—	—
2017	32	AAA MLE	Durham Bulls	—	272	240	39	11	0	3	27	85	3	0	1	163	256	246	501	83	227	31	10	230	42	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	942	830	200	48	3	29	92	229	8	2	6	241	323	411	733	170	296	24	10	324	85	+6	-2	-26	+20	+20	2.0
/ 162G	—	A+C		—	650	573	138	33	2	20	63	158	6	1	4	241	322	410	733	169	296	24	10	324	85	+4	-1	-18	+14	+14	1.4
Career	—	MLE		—	3427	3052	672	162	9	94	303	871	36	21	25	220	298	372	670	151	274	25	9	294	85	+6	-2	-26	+20	+20	2.0
/ 162G	—	MLE		—	650	579	128	31	2	18	57	165	7	4	5	221	299	375	673	154	275	25	9	294	85	+4	-1	-18	+14	+14	1.4

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.

2017 AAADurham Bulls · 272 PAwOBA .303 → .230 (−72)K% 26.8% → 31.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	26.84%	÷1.027	×1.200	—	—	31.36%
BB% (unintentional) /PA	15.07%	÷0.993	×0.690	—	×0.952	9.98%
HBP% /PA	1.10%	—	×0.940	—	×0.952	0.99%
Singles /BIP	19.08%	÷1.025	×0.930	×0.950	×0.952	15.66%
Doubles /BIP	9.21%	÷1.008	×0.830	×0.950	×0.952	6.86%
Triples /BIP	0.00%	÷1.022	×0.970	×0.950	×0.952	0.00%
Home runs /BIP	2.63%	÷1.049	×0.840	—	×0.952	2.01%

Factors used: league row IL. Park (home-season share, regressed): HR 110, 1B 105, 2B 102, 3B 104, K 105, BB 99 — 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 ×0.950.

Result: wOBA .303 → .230; ISO .116 → .090; BABIP .287 → .227. 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).

2016 AAAColorado Springs Sky Sox · 251 PAwOBA .402 → .285 (−117)K% 22.3% → 29.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.31%	÷0.964	×1.290	—	—	29.86%
BB% (unintentional) /PA	18.73%	÷1.052	×0.710	—	×0.962	12.16%
HBP% /PA	1.20%	—	×0.980	—	×0.962	1.13%
Singles /BIP	22.22%	÷1.046	×0.900	×0.969	×0.962	17.82%
Doubles /BIP	9.72%	÷1.196	×0.810	×0.969	×0.962	6.14%
Triples /BIP	2.78%	÷1.150	×0.810	×0.969	×0.962	1.82%
Home runs /BIP	4.86%	÷0.973	×0.780	—	×0.962	3.75%

Factors used: league row PCL. Park (home-season share, regressed): HR 95, 1B 109, 2B 139, 3B 130, K 93, BB 110 — 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 ×0.969.

Result: wOBA .402 → .285; ISO .215 → .150; BABIP .362 → .266. 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 AAAColorado Springs Sky Sox · 93 PAwOBA .369 → .288 (−82)K% 14.0% → 19.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.98%	÷0.934	×1.290	—	—	19.31%
BB% (unintentional) /PA	7.53%	÷1.055	×0.710	—	×0.982	4.98%
HBP% /PA	1.08%	—	×0.980	—	×0.982	1.03%
Singles /BIP	24.29%	÷1.005	×0.900	×0.950	×0.982	20.29%
Doubles /BIP	8.57%	÷1.028	×0.810	×0.950	×0.982	6.30%
Triples /BIP	0.00%	÷1.150	×0.810	×0.950	×0.982	0.00%
Home runs /BIP	4.29%	÷0.964	×0.780	—	×0.982	3.40%

Factors used: league row PCL. Park (home-season share, regressed): HR 93, 1B 101, 2B 106, 3B 130, K 87, BB 111 — 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 ×0.950.

Result: wOBA .369 → .288; ISO .181 → .138; BABIP .338 → .271. 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 AAAPawtucket Red Sox · 111 PAwOBA .350 → .287 (−62)K% 21.6% → 26.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.62%	÷0.971	×1.200	—	—	26.72%
BB% (unintentional) /PA	12.61%	÷0.988	×0.690	—	×1.018	8.96%
HBP% /PA	0.90%	—	×0.940	—	×1.018	0.86%
Singles /BIP	25.35%	÷1.025	×0.930	×0.950	×1.018	22.25%
Doubles /BIP	7.04%	÷1.007	×0.830	×0.950	×1.018	5.61%
Triples /BIP	0.00%	÷0.900	×0.970	×0.950	×1.018	0.00%
Home runs /BIP	4.23%	÷0.955	×0.840	—	×1.018	3.78%

Factors used: league row IL. Park (home-season share, regressed): HR 91, 1B 105, 2B 101, 3B 80, K 94, BB 98 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .350 → .287; ISO .147 → .126; BABIP .333 → .285. 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 AAAColorado Springs Sky Sox · 384 PAwOBA .327 → .258 (−68)K% 20.1% → 26.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.05%	÷0.977	×1.290	—	—	26.49%
BB% (unintentional) /PA	8.07%	÷1.041	×0.710	—	×1.033	5.69%
HBP% /PA	0.52%	—	×0.980	—	×1.033	0.53%
Singles /BIP	21.48%	÷1.047	×0.900	×0.998	×1.033	19.04%
Doubles /BIP	8.52%	÷1.057	×0.810	×0.998	×1.033	6.73%
Triples /BIP	0.37%	÷1.150	×0.810	×0.998	×1.033	0.27%
Home runs /BIP	3.70%	÷0.990	×0.780	—	×1.033	3.01%

Factors used: league row PCL. Park (home-season share, regressed): HR 98, 1B 109, 2B 111, 3B 130, K 95, BB 108 — 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 ×0.998.

Result: wOBA .327 → .258; ISO .159 → .121; BABIP .312 → .265. 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 AATulsa Drillers · 417 PAwOBA .359 → .300 (−59)K% 16.5% → 20.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.55%	÷1.000	×1.220	—	—	20.19%
BB% (unintentional) /PA	12.47%	÷1.000	×0.700	—	×1.012	8.83%
HBP% /PA	0.48%	—	×0.870	—	×1.012	0.42%
Singles /BIP	21.45%	÷1.000	×0.920	×0.967	×1.012	19.32%
Doubles /BIP	8.65%	÷1.000	×0.840	×0.967	×1.012	7.11%
Triples /BIP	0.35%	÷1.000	×0.940	×0.967	×1.012	0.32%
Home runs /BIP	4.15%	÷1.000	×0.800	—	×1.012	3.36%

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 ×0.967.

Result: wOBA .359 → .300; ISO .176 → .147; BABIP .317 → .276. 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 A+Modesto Nuts · 472 PAwOBA .355 → .286 (−69)K% 21.4% → 28.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.40%	÷1.000	×1.340	—	—	28.67%
BB% (unintentional) /PA	11.65%	÷1.000	×0.710	—	×0.998	8.26%
HBP% /PA	2.12%	—	×0.790	—	×0.998	1.67%
Singles /BIP	18.73%	÷1.000	×0.910	×0.965	×0.998	16.42%
Doubles /BIP	9.36%	÷1.000	×0.820	×0.965	×0.998	7.40%
Triples /BIP	0.33%	÷1.000	×0.760	×0.965	×0.998	0.24%
Home runs /BIP	6.02%	÷1.000	×0.920	—	×0.998	5.53%

Factors used: league row CAL. 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 22.8 → −0.2% on BB/HBP/hit rates (0.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.965.

Result: wOBA .355 → .286; ISO .210 → .177; BABIP .300 → .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).

2007 AAsheville Tourists · 485 PAwOBA .395 → .321 (−75)K% 17.3% → 23.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.32%	÷1.000	×1.340	—	—	23.21%
BB% (unintentional) /PA	13.61%	÷1.000	×0.660	—	—	8.98%
HBP% /PA	1.24%	—	×0.770	—	—	0.95%
Singles /BIP	18.21%	÷1.000	×0.920	×1.003	—	16.80%
Doubles /BIP	10.80%	÷1.000	×0.820	×1.003	—	8.88%
Triples /BIP	0.31%	÷1.000	×0.940	×1.003	—	0.29%
Home runs /BIP	6.79%	÷1.000	×0.820	—	—	5.57%

Factors used: league row SAL. 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 22.0 → +0.0% on BB/HBP/hit rates (0.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.003.

Result: wOBA .395 → .321; ISO .252 → .208; BABIP .312 → .273. 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).