Mark Reynolds

Pos3B

B/TR/R

Born1983-08-03

Age (2027)43

No MLB projection yet. Career stats below are historical.

Overview

MLBLAST SEASON 2019

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2017	33	MLBCOL	593	.267/.354/.487	30	2	125	1.0
2018	34	AAASyracuse Chie…	42	.231/.286/.333	1	0	26	—	.200/.238/.300
2018	34	MLBWSH	235	.248/.332/.476	13	0	122	0.1
2019	35	MLBCOL	162	.170/.296/.311	4	2	69	-0.6
2020	36	No MLB games played
2021	37	No MLB games played
2022	38	No MLB games played
2023	39	No MLB games played
2024	40	No MLB games played
2025	41	No MLB games played
2026	42	No MLB games played

Last 3 seasons WAR 0.4

Contract

No contract data on file.

Skills · percentileStatcast 2017-2019

Barrel%52

xwOBA52

Avg EV34

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.

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	21	A	South Bend Silver Hawks	—	484	434	110	26	2	19	37	107	6	4	1	253	321	454	775	200	294	22	8	338	59	—	—	—	—	—	—
2006	22	AA	Tennessee Smokies	—	127	114	31	7	0	8	11	37	2	0	1	272	346	544	890	272	333	29	9	388	95	—	—	—	—	—	—
2006	22	A+	Lancaster JetHawks	—	322	273	92	18	2	23	41	72	3	1	1	337	429	670	1.099	333	377	22	13	464	141	—	—	—	—	—	—
2007	23	MLB	Arizona Diamondbacks	—	414	366	102	20	4	17	37	129	5	0	1	279	353	495	847	216	378	31	9	368	130	+15	-0	-2	+2	+9	2.5
2007	23	AA	Mobile BayBears	—	155	134	41	9	2	6	20	32	0	2	1	306	396	537	933	231	361	21	13	406	114	—	—	—	—	—	—
2008	24	MLB	Arizona Diamondbacks	—	613	539	129	28	3	28	64	204	3	11	2	239	323	458	782	219	323	33	10	341	117	+13	+1	-8	+2	+13	2.2
2009	25	MLB	Arizona Diamondbacks	—	662	578	150	30	1	44	76	223	5	24	9	260	351	543	894	284	338	34	11	387	146	+36	+1	-12	+2	+14	4.3
2010	26	MLB	Arizona Diamondbacks	—	596	499	99	17	2	32	83	211	9	7	4	198	323	433	756	234	257	35	14	335	103	+2	-0	+2	+2	+13	2.0
2011	27	MLB	Baltimore Orioles	—	620	534	118	27	1	37	75	196	7	6	4	221	325	483	808	262	266	32	12	353	115	+11	-0	-30	+2	+13	-0.3
2012	28	MLB	Baltimore Orioles	—	538	457	101	26	0	23	73	159	6	1	3	221	336	429	765	208	282	30	14	341	110	+6	-1	-14	-10	+12	-0.7
2013	29	MLB	New York Yankees	—	504	445	98	14	0	21	51	154	5	3	1	220	307	393	701	173	282	31	10	313	94	-4	+0	-5	-9	+11	-0.7
2014	30	MLB	Milwaukee Brewers	—	433	378	74	9	0	22	47	122	3	5	1	196	290	394	684	198	218	28	11	303	86	-7	+1	+1	-8	+9	-0.4
2015	31	MLB	St. Louis Cardinals	—	432	382	88	21	2	13	44	121	4	2	3	230	316	398	714	168	300	28	10	319	103	+1	-1	-9	-8	+9	-0.7
2016	32	MLB	Colorado Rockies	—	441	393	111	24	0	14	42	112	4	1	2	282	358	450	808	168	361	25	10	359	119	+10	-1	-4	-8	+10	0.8
2017	33	MLB	Colorado Rockies	—	593	520	139	22	1	30	69	175	1	2	1	267	354	487	841	219	343	30	12	369	125	+18	+0	-10	-11	+13	1.0
2018	34	MLB	Washington Nationals	—	235	206	51	8	0	13	24	64	2	0	0	248	332	476	808	228	288	27	10	352	122	+6	+0	-5	-5	+5	0.1
2018	34	AAA	Syracuse Chiefs	—	42	39	9	1	0	1	3	13	0	0	0	231	286	333	619	103	320	31	7	281	26	—	—	—	—	—	—
2019	35	MLB	Colorado Rockies	—	162	135	23	7	0	4	22	57	2	2	0	170	296	311	607	141	247	35	14	278	69	-6	+0	-1	-3	+4	-0.6
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	6243	5432	1283	253	14	298	707	1927	56	64	31	236	330	453	783	216	303	31	11	345	119	+144	+0	-96	-49	+135	13.7
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2005	21	A MLE	South Bend Silver Hawks	—	484	447	89	20	2	14	24	146	6	4	1	199	249	347	596	148	252	30	5	256	59	—	—	—	—	—	—
2006	22	AA MLE	Tennessee Smokies	—	127	117	26	6	0	6	8	45	2	0	1	222	283	427	711	205	308	35	6	308	95	—	—	—	—	—	—
2006	22	A+ MLE	Lancaster JetHawks	—	322	286	77	14	1	20	28	97	3	1	1	269	341	535	876	266	319	30	9	376	141	—	—	—	—	—	—
2007	23	MLB MLE	Arizona Diamondbacks	—	414	370	102	20	4	17	33	129	5	0	1	276	343	489	832	214	378	31	8	361	130	+15	-0	-2	+2	+9	2.5
2007	23	AA MLE	Mobile BayBears	—	155	140	37	8	2	5	14	39	0	2	1	264	331	457	788	193	326	25	9	336	114	—	—	—	—	—	—
2008	24	MLB MLE	Arizona Diamondbacks	—	613	539	129	28	3	28	64	204	3	11	2	239	323	458	782	219	323	33	10	341	117	+13	+1	-8	+2	+13	2.2
2009	25	MLB MLE	Arizona Diamondbacks	—	662	581	150	30	1	44	73	223	5	24	9	258	346	540	886	282	338	34	11	384	146	+36	+1	-12	+2	+14	4.3
2010	26	MLB MLE	Arizona Diamondbacks	—	596	506	98	16	2	32	76	211	9	7	4	194	310	423	733	229	257	35	13	321	103	+2	-0	+2	+2	+13	2.0
2011	27	MLB MLE	Baltimore Orioles	—	620	536	113	27	1	33	73	196	7	6	4	211	313	450	763	239	266	32	12	339	115	+11	-0	-30	+2	+13	-0.3
2012	28	MLB MLE	Baltimore Orioles	—	538	459	98	26	0	21	71	159	6	1	3	214	326	407	734	194	282	30	13	330	110	+6	-1	-14	-10	+12	-0.7
2013	29	MLB MLE	New York Yankees	—	504	446	97	14	0	20	50	154	5	3	1	217	303	383	687	166	282	31	10	307	94	-4	+0	-5	-9	+11	-0.7
2014	30	MLB MLE	Milwaukee Brewers	—	433	381	74	10	0	21	44	122	3	5	1	194	283	386	669	192	218	28	10	296	86	-7	+1	+1	-8	+9	-0.4
2015	31	MLB MLE	St. Louis Cardinals	—	432	384	88	20	2	14	42	121	4	2	3	229	312	401	713	172	300	28	10	320	103	+1	-1	-9	-8	+9	-0.7
2016	32	MLB MLE	Colorado Rockies	—	441	394	106	23	0	12	41	112	4	1	2	269	344	419	763	150	361	25	9	344	119	+10	-1	-4	-8	+10	0.8
2017	33	MLB MLE	Colorado Rockies	—	593	520	132	21	1	27	69	175	1	2	1	254	342	454	796	200	343	30	12	353	125	+18	+0	-10	-11	+13	1.0
2018	34	MLB MLE	Washington Nationals	—	235	207	51	8	0	13	23	64	2	0	0	246	328	473	801	227	288	27	10	348	122	+6	+0	-5	-5	+5	0.1
2018	34	AAA MLE	Syracuse Chiefs	—	42	40	8	1	0	1	2	15	0	0	0	200	238	300	538	100	264	36	5	206	26	—	—	—	—	—	—
2019	35	MLB MLE	Colorado Rockies	—	162	135	23	7	0	4	22	57	2	2	0	170	296	311	607	141	247	35	14	270	69	-6	+0	-1	-3	+4	-0.6
2005	21	A MLE	South Bend Silver Hawks	—	484	447	89	20	2	14	24	146	6	4	1	199	249	347	596	148	260	30	5	256	59	—	—	—	—	—	—
2005	21	A RAW	South Bend Silver Hawks	—	484	434	110	26	2	19	37	107	6	4	1	253	321	454	775	200	294	22	8	338	59	—	—	—	—	—	—
2006	22	A+ MLE	2 teams	—	449	403	104	20	1	27	36	142	5	1	2	258	327	514	840	256	322	32	8	357	128	—	—	—	—	—	—
2006	22	A+ RAW	2 teams	—	449	387	123	25	2	31	52	109	5	1	2	318	405	633	1.038	315	365	24	12	442	128	—	—	—	—	—	—
2007	23	MLB MLE	2 teams	—	569	510	139	28	6	22	47	168	5	2	2	273	340	480	820	208	359	30	8	354	126	+17	-0	-2	+2	+12	3.1
2007	23	MLB RAW	2 teams	—	569	500	143	29	6	23	57	161	5	2	2	286	365	506	871	220	373	28	10	378	126	+17	-0	-2	+2	+12	3.1
2008	24	MLB MLE	Arizona Diamondbacks	—	613	539	129	28	3	28	64	204	3	11	2	239	323	458	782	219	323	33	10	341	117	+13	+1	-8	+2	+13	2.2
2008	24	MLB RAW	Arizona Diamondbacks	—	613	539	129	28	3	28	64	204	3	11	2	239	323	458	782	219	323	33	10	341	117	+13	+1	-8	+2	+13	2.2
2009	25	MLB MLE	Arizona Diamondbacks	—	662	581	150	30	1	44	73	223	5	24	9	258	346	540	886	282	334	34	11	384	146	+36	+1	-12	+2	+14	4.3
2009	25	MLB RAW	Arizona Diamondbacks	—	662	578	150	30	1	44	76	223	5	24	9	260	351	543	894	284	338	34	11	387	146	+36	+1	-12	+2	+14	4.3
2010	26	MLB MLE	Arizona Diamondbacks	—	596	506	98	16	2	32	76	211	9	7	4	194	310	423	733	229	246	35	13	321	103	+2	-0	+2	+2	+13	2.0
2010	26	MLB RAW	Arizona Diamondbacks	—	596	499	99	17	2	32	83	211	9	7	4	198	323	433	756	234	257	35	14	335	103	+2	-0	+2	+2	+13	2.0
2011	27	MLB MLE	Baltimore Orioles	—	620	536	113	27	1	33	73	196	7	6	4	211	313	450	763	239	257	32	12	339	115	+11	-0	-30	+2	+13	-0.3
2011	27	MLB RAW	Baltimore Orioles	—	620	534	118	27	1	37	75	196	7	6	4	221	325	483	808	262	266	32	12	353	115	+11	-0	-30	+2	+13	-0.3
2012	28	MLB MLE	Baltimore Orioles	—	538	459	98	26	0	21	71	159	6	1	3	214	326	407	734	194	274	30	13	330	110	+6	-1	-14	-10	+12	-0.7
2012	28	MLB RAW	Baltimore Orioles	—	538	457	101	26	0	23	73	159	6	1	3	221	336	429	765	208	282	30	14	341	110	+6	-1	-14	-10	+12	-0.7
2013	29	MLB MLE	New York Yankees	—	504	446	97	14	0	20	50	154	5	3	1	217	303	383	687	166	280	31	10	307	94	-4	+0	-5	-9	+11	-0.7
2013	29	MLB RAW	New York Yankees	—	504	445	98	14	0	21	51	154	5	3	1	220	307	393	701	173	282	31	10	313	94	-4	+0	-5	-9	+11	-0.7
2014	30	MLB MLE	Milwaukee Brewers	—	433	381	74	10	0	21	44	122	3	5	1	194	283	386	669	192	219	28	10	296	86	-7	+1	+1	-8	+9	-0.4
2014	30	MLB RAW	Milwaukee Brewers	—	433	378	74	9	0	22	47	122	3	5	1	196	290	394	684	198	218	28	11	303	86	-7	+1	+1	-8	+9	-0.4
2015	31	MLB MLE	St. Louis Cardinals	—	432	384	88	20	2	14	42	121	4	2	3	229	312	401	713	172	295	28	10	320	103	+1	-1	-9	-8	+9	-0.7
2015	31	MLB RAW	St. Louis Cardinals	—	432	382	88	21	2	13	44	121	4	2	3	230	316	398	714	168	300	28	10	319	103	+1	-1	-9	-8	+9	-0.7
2016	32	MLB MLE	Colorado Rockies	—	441	394	106	23	0	12	41	112	4	1	2	269	344	419	763	150	346	25	9	344	119	+10	-1	-4	-8	+10	0.8
2016	32	MLB RAW	Colorado Rockies	—	441	393	111	24	0	14	42	112	4	1	2	282	358	450	808	168	361	25	10	359	119	+10	-1	-4	-8	+10	0.8
2017	33	MLB MLE	Colorado Rockies	—	593	520	132	21	1	27	69	175	1	2	1	254	342	454	796	200	327	30	12	353	125	+18	+0	-10	-11	+13	1.0
2017	33	MLB RAW	Colorado Rockies	—	593	520	139	22	1	30	69	175	1	2	1	267	354	487	841	219	343	30	12	369	125	+18	+0	-10	-11	+13	1.0
2018	34	MLB MLE	2 teams	—	277	247	59	9	0	14	25	79	2	0	0	239	314	445	759	206	287	29	9	327	107	+2	+0	-5	-5	+6	-0.2
2018	34	MLB RAW	2 teams	—	277	245	60	9	0	14	27	77	2	0	0	245	325	453	778	208	293	28	10	341	107	+2	+0	-5	-5	+6	-0.2
2019	35	MLB MLE	Colorado Rockies	—	162	135	23	7	0	4	22	57	2	2	0	170	296	311	607	141	247	35	14	270	69	-6	+0	-1	-3	+4	-0.6
2019	35	MLB RAW	Colorado Rockies	—	162	135	23	7	0	4	22	57	2	2	0	170	296	311	607	141	247	35	14	278	69	-6	+0	-1	-3	+4	-0.6
2005	21	A MLE	South Bend Silver Hawks	—	484	451	89	20	2	14	24	146	6	4	1	197	249	344	593	146	252	30	5	256	59	—	—	—	—	—	—
2006	22	A+ MLE	2 teams	—	449	405	104	20	1	27	36	142	5	1	2	257	327	511	838	254	316	32	8	357	128	—	—	—	—	—	—
2007	23	MLB MLE	2 teams	—	569	512	139	28	6	22	47	168	5	2	2	271	340	479	818	207	364	30	8	354	126	—	—	—	—	—	—
2008	24	MLB MLE	Arizona Diamondbacks	—	613	541	129	28	3	28	64	204	3	11	2	238	323	457	780	218	323	33	10	341	117	—	—	—	—	—	—
2009	25	MLB MLE	Arizona Diamondbacks	—	662	579	150	30	1	44	73	223	5	24	9	259	346	542	888	283	338	34	11	384	146	—	—	—	—	—	—
2010	26	MLB MLE	Arizona Diamondbacks	—	596	506	98	16	2	32	76	211	9	7	4	194	310	423	733	229	257	35	13	321	103	—	—	—	—	—	—
2011	27	MLB MLE	Baltimore Orioles	—	620	535	113	27	1	33	73	196	7	6	4	211	313	450	764	239	266	32	12	339	115	—	—	—	—	—	—
2012	28	MLB MLE	Baltimore Orioles	—	538	456	98	26	0	21	71	159	6	1	3	215	326	410	737	195	282	30	13	330	110	—	—	—	—	—	—
2013	29	MLB MLE	New York Yankees	—	504	444	97	14	0	20	50	154	5	3	1	218	303	385	689	167	282	31	10	307	94	—	—	—	—	—	—
2014	30	MLB MLE	Milwaukee Brewers	—	433	383	74	10	0	21	44	122	3	5	1	193	283	384	667	191	218	28	10	296	86	—	—	—	—	—	—
2015	31	MLB MLE	St. Louis Cardinals	—	432	383	88	20	2	14	42	121	4	2	3	230	312	402	714	172	300	28	10	320	103	—	—	—	—	—	—
2016	32	MLB MLE	Colorado Rockies	—	441	393	106	23	0	12	41	112	4	1	2	270	344	420	764	150	361	25	9	344	119	—	—	—	—	—	—
2017	33	MLB MLE	Colorado Rockies	—	593	518	132	21	1	27	69	175	1	2	1	255	342	456	798	201	343	30	12	353	125	—	—	—	—	—	—
2018	34	MLB MLE	2 teams	—	277	248	59	9	0	14	25	79	2	0	0	238	314	444	757	206	284	29	9	327	107	—	—	—	—	—	—
2019	35	MLB MLE	Colorado Rockies	—	162	137	23	7	0	4	22	57	2	2	0	168	296	307	602	139	247	35	14	270	69	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	6243	5432	1283	253	14	298	707	1927	56	64	31	236	330	453	783	216	303	31	11	345	111	+144	+0	-96	-49	+135	13.7
/ 162G	—	A+C		—	650	566	133	26	1	31	74	201	6	7	3	235	330	449	779	214	301	31	11	345	111	+15	+0	-10	-5	+14	1.4
Career	—	MLE		—	7373	6488	1499	299	19	333	757	2269	67	71	35	231	318	437	755	206	296	31	10	332	111	+144	+0	-96	-49	+135	13.7
/ 162G	—	MLE		—	650	572	132	26	2	29	67	200	6	6	3	231	318	435	754	205	296	31	10	332	111	+15	+0	-10	-5	+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.

2018 AAASyracuse Chiefs · 42 PAwOBA .273 → .206 (−68)K% 31.0% → 35.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	30.95%	÷1.044	×1.200	—	—	35.57%
BB% (unintentional) /PA	7.14%	÷0.956	×0.690	—	×0.940	4.84%
HBP% /PA	0.00%	—	×0.940	—	×0.940	0.00%
Singles /BIP	26.92%	÷1.044	×0.930	—	×0.940	22.55%
Doubles /BIP	3.85%	÷0.933	×0.830	—	×0.940	3.22%
Triples /BIP	0.00%	÷0.900	×0.970	—	×0.940	0.00%
Home runs /BIP	3.85%	÷1.205	×0.840	—	×0.940	2.52%

Factors used: league row IL. Park (home-season share, regressed): HR 141, 1B 109, 2B 87, 3B 80, K 109, BB 91 — 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 .273 → .206; ISO .103 → .069; BABIP .320 → .264. 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 AAMobile BayBears · 155 PAwOBA .398 → .336 (−62)K% 20.6% → 25.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.65%	÷1.000	×1.220	—	—	25.19%
BB% (unintentional) /PA	12.90%	÷1.000	×0.680	—	×1.012	8.88%
HBP% /PA	0.00%	—	×0.840	—	×1.012	0.00%
Singles /BIP	23.53%	÷1.000	×0.920	×0.988	×1.012	21.63%
Doubles /BIP	8.82%	÷1.000	×0.910	×0.988	×1.012	8.02%
Triples /BIP	1.96%	÷1.000	×0.880	×0.988	×1.012	1.72%
Home runs /BIP	5.88%	÷1.000	×0.800	—	×1.012	4.76%

Factors used: league row SL. 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 ×0.988.

Result: wOBA .398 → .336; ISO .231 → .196; BABIP .361 → .326. 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 A+Lancaster JetHawks · 322 PAwOBA .457 → .376 (−82)K% 22.4% → 30.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.36%	÷1.000	×1.340	—	—	29.96%
BB% (unintentional) /PA	12.42%	÷1.000	×0.710	—	×0.998	8.80%
HBP% /PA	0.93%	—	×0.790	—	×0.998	0.73%
Singles /BIP	24.38%	÷1.000	×0.910	×0.972	×0.998	21.51%
Doubles /BIP	8.96%	÷1.000	×0.820	×0.972	×0.998	7.12%
Triples /BIP	1.00%	÷1.000	×0.760	×0.972	×0.998	0.73%
Home runs /BIP	11.44%	÷1.000	×0.920	—	×0.998	10.51%

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 ×0.972.

Result: wOBA .457 → .376; ISO .333 → .286; BABIP .377 → .319. 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 · 127 PAwOBA .377 → .308 (−69)K% 29.1% → 35.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	29.13%	÷1.000	×1.220	—	—	35.54%
BB% (unintentional) /PA	8.66%	÷1.000	×0.680	—	×1.027	6.05%
HBP% /PA	1.57%	—	×0.840	—	×1.027	1.36%
Singles /BIP	20.78%	÷1.000	×0.920	×1.002	×1.027	19.67%
Doubles /BIP	9.09%	÷1.000	×0.910	×1.002	×1.027	8.51%
Triples /BIP	0.00%	÷1.000	×0.880	×1.002	×1.027	0.00%
Home runs /BIP	10.39%	÷1.000	×0.800	—	×1.027	8.54%

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 ×1.002.

Result: wOBA .377 → .308; ISO .272 → .217; BABIP .333 → .308. 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 ASouth Bend Silver Hawks · 484 PAwOBA .328 → .256 (−72)K% 22.1% → 30.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.11%	÷1.000	×1.360	—	—	30.07%
BB% (unintentional) /PA	7.23%	÷1.000	×0.690	—	—	4.99%
HBP% /PA	1.24%	—	×0.780	—	—	0.97%
Singles /BIP	19.27%	÷1.000	×0.920	×0.971	—	17.21%
Doubles /BIP	7.95%	÷1.000	×0.830	×0.971	—	6.41%
Triples /BIP	0.61%	÷1.000	×0.910	×0.971	—	0.54%
Home runs /BIP	5.81%	÷1.000	×0.800	—	—	4.65%

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 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 ×0.971.

Result: wOBA .328 → .256; ISO .200 → .153; BABIP .294 → .252. 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).