David Freese

Pos3B

B/TR/R

Born1983-04-28

Age (2027)44

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
2017	34	MLBPIT	503	.263/.371/.371	10	0	113	2.5
2018	35	MLBLAD	312	.296/.362/.471	11	0	137	1.9
2019	36	MLBLAD	186	.315/.403/.599	11	0	184	1.8
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 6.2

Contract

No contract data on file.

Skills · percentileStatcast 2017-2019

xwOBA90

Avg EV60

Barrel%55

Speed12

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)
2006	23	A	Fort Wayne Wizards	—	230	204	61	13	3	8	21	44	4	1	1	299	376	510	885	211	346	19	9	388	95	—	—	—	—	—	—
2007	24	A+	Lake Elsinore Storm	—	592	503	152	31	6	17	69	99	16	6	1	302	403	489	892	187	345	17	12	394	107	—	—	—	—	—	—
2008	25	AAA	Memphis Redbirds	—	510	464	142	29	3	26	39	111	3	5	2	306	364	550	913	244	350	22	8	395	103	—	—	—	—	—	—
2009	26	MLB	St. Louis Cardinals	—	34	31	10	2	0	1	2	7	0	0	0	323	364	484	848	161	375	21	6	364	133	+1	+0	-0	+1	+1	0.3
2009	26	AAA	Memphis Redbirds	—	225	200	60	15	0	10	22	51	1	1	0	300	372	525	897	225	355	23	10	390	101	—	—	—	—	—	—
2009	26	AA	Springfield Cardinals	—	18	16	6	1	0	1	2	2	0	0	0	375	444	625	1.069	250	385	11	11	466	143	—	—	—	—	—	—
2010	27	MLB	St. Louis Cardinals	—	270	240	71	12	1	4	21	59	4	1	1	296	362	404	766	108	376	22	8	340	117	+5	-0	-0	+1	+6	1.2
2011	28	MLB	St. Louis Cardinals	—	363	333	99	16	1	10	24	75	4	1	0	297	352	441	793	144	356	21	7	352	127	+11	+0	+4	+1	+8	2.5
2012	29	MLB	St. Louis Cardinals	—	567	501	147	25	1	20	57	122	7	3	3	293	373	467	841	174	352	22	10	373	140	+27	-1	+4	+2	+12	4.6
2013	30	MLB	St. Louis Cardinals	—	521	462	121	26	1	9	47	106	9	1	2	262	342	381	723	119	320	20	9	326	107	+4	-1	-7	+2	+11	1.0
2014	31	MLB	Los Angeles Angels	—	511	462	120	25	1	10	38	124	6	1	3	260	324	383	707	123	330	24	7	316	101	+1	-1	+7	+2	+11	2.0
2015	32	MLB	Los Angeles Angels	—	470	424	109	27	0	14	31	107	12	1	1	257	325	420	745	163	310	23	7	331	112	+7	-0	+2	+2	+10	2.1
2015	32	AAA	Salt Lake Bees	—	25	21	6	0	0	1	3	4	1	0	0	286	400	429	829	143	312	16	12	377	80	—	—	—	—	—	—
2016	33	MLB	Pittsburgh Pirates	—	492	437	118	23	0	13	45	142	10	0	0	270	352	412	764	142	372	29	9	345	119	+11	+0	-0	+2	+11	2.4
2017	34	MLB	Pittsburgh Pirates	—	503	426	112	16	0	10	58	116	15	0	1	263	371	371	742	108	336	23	12	339	113	+8	-0	+4	+2	+11	2.5
2018	35	MLB	Los Angeles Dodgers	—	312	280	83	12	2	11	24	72	5	0	0	296	362	471	834	175	360	23	8	367	137	+14	+0	-3	+1	+7	1.9
2019	36	MLB	Los Angeles Dodgers	—	186	162	51	13	0	11	23	44	1	0	0	315	403	599	1.002	284	374	24	12	434	184	+18	+0	-1	-3	+4	1.8
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	4229	3758	1041	197	7	113	370	974	73	8	11	277	353	423	777	146	344	23	9	347	121	+105	-3	+8	+12	+92	21.8
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2006	23	A MLE	Fort Wayne Wizards	—	230	211	53	11	3	6	14	60	4	1	1	251	310	417	727	166	314	26	6	309	95	—	—	—	—	—	—
2007	24	A+ MLE	Lake Elsinore Storm	—	592	523	137	26	5	15	49	133	16	6	1	262	344	417	760	155	313	22	8	327	107	—	—	—	—	—	—
2008	25	AAA MLE	Memphis Redbirds	—	510	474	122	24	2	20	29	143	3	5	2	257	304	443	747	186	321	28	6	321	103	—	—	—	—	—	—
2009	26	MLB MLE	St. Louis Cardinals	—	34	31	10	2	0	1	2	7	0	0	0	323	364	484	848	161	375	21	6	364	133	+1	+0	-0	+1	+1	0.3
2009	26	AAA MLE	Memphis Redbirds	—	225	207	52	12	0	8	15	66	1	1	0	251	305	425	730	174	326	29	7	317	101	—	—	—	—	—	—
2009	26	AA MLE	Springfield Cardinals	—	18	17	6	1	0	1	1	2	0	0	0	353	389	588	977	235	338	11	6	380	143	—	—	—	—	—	—
2010	27	MLB MLE	St. Louis Cardinals	—	270	240	70	11	1	4	21	59	4	1	1	292	358	396	754	104	376	22	8	341	117	+5	-0	-0	+1	+6	1.2
2011	28	MLB MLE	St. Louis Cardinals	—	363	333	99	15	1	11	24	75	4	1	0	297	352	447	799	150	356	21	7	355	127	+11	+0	+4	+1	+8	2.5
2012	29	MLB MLE	St. Louis Cardinals	—	567	503	148	24	1	22	55	122	7	3	3	294	372	477	849	183	352	22	10	376	140	+27	-1	+4	+2	+12	4.6
2013	30	MLB MLE	St. Louis Cardinals	—	521	463	121	25	1	10	46	106	9	1	2	261	340	384	724	123	320	20	9	327	107	+4	-1	-7	+2	+11	1.0
2014	31	MLB MLE	Los Angeles Angels	—	511	462	121	26	1	10	38	124	6	1	3	262	326	387	714	126	330	24	7	318	101	+1	-1	+7	+2	+11	2.0
2015	32	MLB MLE	Los Angeles Angels	—	470	424	110	28	0	14	31	107	12	1	1	259	328	425	752	165	310	23	7	333	112	+7	-0	+2	+2	+10	2.1
2015	32	AAA MLE	Salt Lake Bees	—	25	22	5	0	0	1	2	5	1	0	0	227	320	364	684	136	261	20	8	287	80	—	—	—	—	—	—
2016	33	MLB MLE	Pittsburgh Pirates	—	492	439	118	22	0	14	43	142	10	0	0	269	348	415	762	146	372	29	9	344	119	+11	+0	-0	+2	+11	2.4
2017	34	MLB MLE	Pittsburgh Pirates	—	503	431	112	15	0	11	53	116	15	0	1	260	361	371	732	111	336	23	11	335	113	+8	-0	+4	+2	+11	2.5
2018	35	MLB MLE	Los Angeles Dodgers	—	312	281	85	13	2	11	23	72	5	0	0	302	366	480	846	178	360	23	7	370	137	+14	+0	-3	+1	+7	1.9
2019	36	MLB MLE	Los Angeles Dodgers	—	186	162	52	14	0	11	23	44	1	0	0	321	409	611	1.020	290	374	24	12	440	184	+18	+0	-1	-3	+4	1.8
2006	23	A MLE	Fort Wayne Wizards	—	230	211	53	11	3	6	14	60	4	1	1	251	310	417	727	166	322	26	6	309	95	—	—	—	—	—	—
2006	23	A RAW	Fort Wayne Wizards	—	230	204	61	13	3	8	21	44	4	1	1	299	376	510	885	211	346	19	9	388	95	—	—	—	—	—	—
2007	24	A+ MLE	Lake Elsinore Storm	—	592	523	137	26	5	15	49	133	16	6	1	262	344	417	760	155	322	22	8	327	107	—	—	—	—	—	—
2007	24	A+ RAW	Lake Elsinore Storm	—	592	503	152	31	6	17	69	99	16	6	1	302	403	489	892	187	345	17	12	394	107	—	—	—	—	—	—
2008	25	AAA MLE	Memphis Redbirds	—	510	474	122	24	2	20	29	143	3	5	2	257	304	443	747	186	324	28	6	321	103	—	—	—	—	—	—
2008	25	AAA RAW	Memphis Redbirds	—	510	464	142	29	3	26	39	111	3	5	2	306	364	550	913	244	350	22	8	395	103	—	—	—	—	—	—
2009	26	AAA MLE	3 teams	—	277	255	67	15	0	9	18	75	1	1	0	263	314	427	741	165	333	27	6	327	107	—	—	—	—	—	—
2009	26	AAA RAW	3 teams	—	277	247	76	18	0	12	26	60	1	1	0	308	376	526	902	219	360	22	9	392	107	—	—	—	—	—	—
2010	27	MLB MLE	St. Louis Cardinals	—	270	240	70	11	1	4	21	59	4	1	1	292	358	396	754	104	371	22	8	341	117	+5	-0	-0	+1	+6	1.2
2010	27	MLB RAW	St. Louis Cardinals	—	270	240	71	12	1	4	21	59	4	1	1	296	362	404	766	108	376	22	8	340	117	+5	-0	-0	+1	+6	1.2
2011	28	MLB MLE	St. Louis Cardinals	—	363	333	99	15	1	11	24	75	4	1	0	297	352	447	799	150	353	21	7	355	127	+11	+0	+4	+1	+8	2.5
2011	28	MLB RAW	St. Louis Cardinals	—	363	333	99	16	1	10	24	75	4	1	0	297	352	441	793	144	356	21	7	352	127	+11	+0	+4	+1	+8	2.5
2012	29	MLB MLE	St. Louis Cardinals	—	567	503	148	24	1	22	55	122	7	3	3	294	372	477	849	183	349	22	10	376	140	+27	-1	+4	+2	+12	4.6
2012	29	MLB RAW	St. Louis Cardinals	—	567	501	147	25	1	20	57	122	7	3	3	293	373	467	841	174	352	22	10	373	140	+27	-1	+4	+2	+12	4.6
2013	30	MLB MLE	St. Louis Cardinals	—	521	463	121	25	1	10	46	106	9	1	2	261	340	384	724	123	317	20	9	327	107	+4	-1	-7	+2	+11	1.0
2013	30	MLB RAW	St. Louis Cardinals	—	521	462	121	26	1	9	47	106	9	1	2	262	342	381	723	119	320	20	9	326	107	+4	-1	-7	+2	+11	1.0
2014	31	MLB MLE	Los Angeles Angels	—	511	462	121	26	1	10	38	124	6	1	3	262	326	387	714	126	333	24	7	318	101	+1	-1	+7	+2	+11	2.0
2014	31	MLB RAW	Los Angeles Angels	—	511	462	120	25	1	10	38	124	6	1	3	260	324	383	707	123	330	24	7	316	101	+1	-1	+7	+2	+11	2.0
2015	32	MLB MLE	2 teams	—	495	446	114	28	0	14	33	112	13	1	1	256	325	413	738	157	310	23	7	331	110	+6	-0	+2	+2	+11	2.1
2015	32	MLB RAW	2 teams	—	495	445	115	27	0	15	34	111	13	1	1	258	329	420	749	162	311	22	7	334	110	+6	-0	+2	+2	+11	2.1
2016	33	MLB MLE	Pittsburgh Pirates	—	492	439	118	22	0	14	43	142	10	0	0	269	348	415	762	146	367	29	9	344	119	+11	+0	-0	+2	+11	2.4
2016	33	MLB RAW	Pittsburgh Pirates	—	492	437	118	23	0	13	45	142	10	0	0	270	352	412	764	142	372	29	9	345	119	+11	+0	-0	+2	+11	2.4
2017	34	MLB MLE	Pittsburgh Pirates	—	503	431	112	15	0	11	53	116	15	0	1	260	361	371	732	111	328	23	11	335	113	+8	-0	+4	+2	+11	2.5
2017	34	MLB RAW	Pittsburgh Pirates	—	503	426	112	16	0	10	58	116	15	0	1	263	371	371	742	108	336	23	12	339	113	+8	-0	+4	+2	+11	2.5
2018	35	MLB MLE	Los Angeles Dodgers	—	312	281	85	13	2	11	23	72	5	0	0	302	366	480	846	178	368	23	7	370	137	+14	+0	-3	+1	+7	1.9
2018	35	MLB RAW	Los Angeles Dodgers	—	312	280	83	12	2	11	24	72	5	0	0	296	362	471	834	175	360	23	8	367	137	+14	+0	-3	+1	+7	1.9
2019	36	MLB MLE	Los Angeles Dodgers	—	186	162	52	14	0	11	23	44	1	0	0	321	409	611	1.020	290	383	24	12	440	184	+18	+0	-1	-3	+4	1.8
2019	36	MLB RAW	Los Angeles Dodgers	—	186	162	51	13	0	11	23	44	1	0	0	315	403	599	1.002	284	374	24	12	434	184	+18	+0	-1	-3	+4	1.8
2006	23	A MLE	Fort Wayne Wizards	—	230	210	53	11	3	6	14	60	4	1	1	252	310	419	729	167	314	26	6	309	95	—	—	—	—	—	—
2007	24	A+ MLE	Lake Elsinore Storm	—	592	522	137	26	5	15	49	133	16	6	1	262	344	418	761	155	313	22	8	327	107	—	—	—	—	—	—
2008	25	AAA MLE	Memphis Redbirds	—	510	473	122	24	2	20	29	143	3	5	2	258	304	444	748	186	321	28	6	321	103	—	—	—	—	—	—
2009	26	AAA MLE	3 teams	—	277	256	67	15	0	9	18	75	1	1	0	262	314	426	740	164	333	27	6	327	107	—	—	—	—	—	—
2010	27	MLB MLE	St. Louis Cardinals	—	270	243	70	11	1	4	21	59	4	1	1	288	358	391	749	103	376	22	8	341	117	—	—	—	—	—	—
2011	28	MLB MLE	St. Louis Cardinals	—	363	332	99	15	1	11	24	75	4	1	0	298	352	449	801	151	356	21	7	355	127	—	—	—	—	—	—
2012	29	MLB MLE	St. Louis Cardinals	—	567	500	148	24	1	22	55	122	7	3	3	296	372	480	852	184	352	22	10	376	140	—	—	—	—	—	—
2013	30	MLB MLE	St. Louis Cardinals	—	521	461	121	25	1	10	46	106	9	1	2	262	340	386	726	124	320	20	9	327	107	—	—	—	—	—	—
2014	31	MLB MLE	Los Angeles Angels	—	511	462	121	26	1	10	38	124	6	1	3	262	326	387	714	126	330	24	7	318	101	—	—	—	—	—	—
2015	32	MLB MLE	2 teams	—	495	446	114	28	0	14	33	112	13	1	1	256	325	413	738	157	308	23	7	331	110	—	—	—	—	—	—
2016	33	MLB MLE	Pittsburgh Pirates	—	492	436	118	22	0	14	43	142	10	0	0	271	348	417	765	147	372	29	9	344	119	—	—	—	—	—	—
2017	34	MLB MLE	Pittsburgh Pirates	—	503	430	112	15	0	11	53	116	15	0	1	260	361	372	733	112	336	23	11	335	113	—	—	—	—	—	—
2018	35	MLB MLE	Los Angeles Dodgers	—	312	281	85	13	2	11	23	72	5	0	0	302	366	480	846	178	360	23	7	370	137	—	—	—	—	—	—
2019	36	MLB MLE	Los Angeles Dodgers	—	186	160	52	14	0	11	23	44	1	0	0	325	409	619	1.027	294	374	24	12	440	184	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	4229	3758	1041	197	7	113	370	974	73	8	11	277	353	423	777	146	344	23	9	347	117	+105	-3	+8	+12	+92	21.8
/ 162G	—	A+C		—	650	578	159	30	1	17	57	150	11	1	2	275	352	419	771	144	342	23	9	347	117	+16	-0	+1	+2	+14	3.4
Career	—	MLE		—	5829	5223	1419	269	17	168	469	1383	98	21	15	272	343	426	769	155	337	24	8	340	117	+105	-3	+8	+12	+92	21.8
/ 162G	—	MLE		—	650	582	159	30	2	19	52	154	11	2	2	273	344	430	773	156	339	24	8	340	117	+16	-0	+1	+2	+14	3.4

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.

2015 AAASalt Lake Bees · 25 PAwOBA .368 → .287 (−81)K% 16.0% → 21.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.00%	÷0.952	×1.290	—	—	21.69%
BB% (unintentional) /PA	12.00%	÷1.025	×0.710	—	×0.952	7.91%
HBP% /PA	4.00%	—	×0.980	—	×0.952	3.73%
Singles /BIP	29.41%	÷1.012	×0.900	—	×0.952	24.90%
Doubles /BIP	0.00%	÷1.001	×0.810	—	×0.952	0.00%
Triples /BIP	0.00%	÷0.987	×0.810	—	×0.952	0.00%
Home runs /BIP	5.88%	÷0.980	×0.780	—	×0.952	4.46%

Factors used: league row PCL. Park (home-season share, regressed): HR 96, 1B 102, 2B 100, 3B 97, K 90, BB 105 — 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).

Result: wOBA .368 → .287; ISO .143 → .106; BABIP .312 → .261. 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 AAAMemphis Redbirds · 225 PAwOBA .382 → .317 (−64)K% 22.7% → 29.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.67%	÷1.000	×1.290	—	—	29.24%
BB% (unintentional) /PA	9.33%	÷1.000	×0.710	—	×1.018	6.75%
HBP% /PA	0.44%	—	×0.980	—	×1.018	0.44%
Singles /BIP	23.49%	÷1.000	×0.900	×1.050	×1.018	22.60%
Doubles /BIP	10.07%	÷1.000	×0.810	×1.050	×1.018	8.72%
Triples /BIP	0.00%	÷1.000	×0.810	×1.050	×1.018	0.00%
Home runs /BIP	6.71%	÷1.000	×0.780	—	×1.018	5.33%

Factors used: league row PCL. 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 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 ×1.050.

Result: wOBA .382 → .317; ISO .225 → .177; BABIP .355 → .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).

2009 AASpringfield Cardinals · 18 PAwOBA .453 → .380 (−72)K% 11.1% → 13.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	11.11%	÷1.000	×1.220	—	—	13.56%
BB% (unintentional) /PA	11.11%	÷1.000	×0.700	—	×0.988	7.68%
HBP% /PA	0.00%	—	×0.870	—	×0.988	0.00%
Singles /BIP	28.57%	÷1.000	×0.920	—	×0.988	25.97%
Doubles /BIP	7.14%	÷1.000	×0.840	—	×0.988	5.93%
Triples /BIP	0.00%	÷1.000	×0.940	—	×0.988	0.00%
Home runs /BIP	7.14%	÷1.000	×0.800	—	×0.988	5.65%

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 .453 → .380; ISO .250 → .203; BABIP .385 → .338. 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 AAAMemphis Redbirds · 510 PAwOBA .387 → .321 (−66)K% 21.8% → 28.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.76%	÷1.000	×1.290	—	—	28.08%
BB% (unintentional) /PA	7.65%	÷1.000	×0.710	—	×1.033	5.61%
HBP% /PA	0.59%	—	×0.980	—	×1.033	0.60%
Singles /BIP	23.80%	÷1.000	×0.900	×1.029	×1.033	22.76%
Doubles /BIP	8.22%	÷1.000	×0.810	×1.029	×1.033	7.07%
Triples /BIP	0.85%	÷1.000	×0.810	×1.029	×1.033	0.73%
Home runs /BIP	7.37%	÷1.000	×0.780	—	×1.033	5.93%

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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.029.

Result: wOBA .387 → .321; ISO .244 → .190; BABIP .350 → .321. 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 A+Lake Elsinore Storm · 592 PAwOBA .387 → .327 (−60)K% 16.7% → 22.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.72%	÷1.000	×1.340	—	—	22.41%
BB% (unintentional) /PA	11.66%	÷1.000	×0.710	—	×0.988	8.18%
HBP% /PA	2.70%	—	×0.790	—	×0.988	2.11%
Singles /BIP	24.26%	÷1.000	×0.910	×1.045	×0.988	22.79%
Doubles /BIP	7.67%	÷1.000	×0.820	×1.045	×0.988	6.50%
Triples /BIP	1.49%	÷1.000	×0.760	×1.045	×0.988	1.17%
Home runs /BIP	4.21%	÷1.000	×0.920	—	×0.988	3.82%

Factors used: league row CAL. 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 22.8 → −1.2% on BB/HBP/hit rates (1.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.045.

Result: wOBA .387 → .327; ISO .187 → .161; BABIP .345 → .313. 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 AFort Wayne Wizards · 230 PAwOBA .378 → .309 (−69)K% 19.1% → 26.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.13%	÷1.000	×1.360	—	—	26.02%
BB% (unintentional) /PA	8.70%	÷1.000	×0.690	—	×0.990	5.94%
HBP% /PA	1.74%	—	×0.780	—	×0.990	1.34%
Singles /BIP	23.12%	÷1.000	×0.920	×1.032	×0.990	21.74%
Doubles /BIP	8.12%	÷1.000	×0.830	×1.032	×0.990	6.89%
Triples /BIP	1.88%	÷1.000	×0.910	×1.032	×0.990	1.74%
Home runs /BIP	5.00%	÷1.000	×0.800	—	×0.990	3.96%

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 23 vs a level average of 22.0 → −1.0% on BB/HBP/hit rates (1.0 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.032.

Result: wOBA .378 → .309; ISO .211 → .167; BABIP .346 → .314. 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).