Nate Schierholtz

PosRF

B/TL/R

Born1984-02-15

Age (2027)43

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
2013	29	MLBCHC	503	.251/.304/.470	21	6	110	0.3
2014	30	MLBWSH	383	.195/.247/.309	7	4	55	-1.8
2016	32	AAADET	125	.246/.282/.356	3	0	36	—	.200/.226/.300
2017	33	No MLB games played
2018	34	No MLB games played
2019	35	No MLB games played
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 -1.5

Contract

No contract data on file.

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+	San Jose Giants	—	548	502	160	37	8	15	32	132	6	5	7	319	367	514	881	195	403	24	6	381	98	—	—	—	—	—	—
2006	22	AA	Connecticut Defenders	—	510	470	127	25	7	14	27	81	12	8	3	270	326	443	769	172	301	16	5	340	92	—	—	—	—	—	—
2007	23	MLB	San Francisco Giants	—	117	112	34	5	3	0	2	19	1	3	1	304	322	402	724	98	358	16	2	316	100	-0	+0	-1	-6	+3	-0.5
2007	23	AAA	Fresno Grizzlies	—	439	411	137	31	7	16	17	58	6	10	4	333	369	560	928	226	355	13	4	400	119	—	—	—	—	—	—
2008	24	MLB	San Francisco Giants	—	81	75	24	8	1	1	3	8	3	0	1	320	370	493	864	173	348	10	4	382	145	+4	-0	+7	-5	+2	0.7
2008	24	AAA	Fresno Grizzlies	—	377	350	112	22	10	18	21	51	4	9	3	320	365	594	960	274	332	14	6	413	117	—	—	—	—	—	—
2009	25	MLB	San Francisco Giants	—	308	285	76	19	2	5	16	58	1	3	1	267	308	400	708	133	311	19	5	309	91	-3	+0	+3	-4	+7	0.3
2009	25	AAA	Fresno Grizzlies	—	19	18	4	1	0	0	1	1	0	1	0	222	263	278	541	56	235	5	5	247	28	—	—	—	—	—	—
2010	26	MLB	San Francisco Giants	—	252	227	55	13	3	3	20	38	3	4	5	242	312	366	678	123	278	15	8	304	85	-5	-1	+3	-3	+5	0.0
2011	27	MLB	San Francisco Giants	—	362	335	93	22	1	9	21	61	4	7	4	278	328	430	758	152	315	17	6	335	113	+6	-0	-6	-4	+8	0.4
2012	28	MLB	Philadelphia Phillies	—	269	241	62	8	5	6	23	46	1	3	2	257	325	407	731	149	292	17	9	322	98	-1	-0	-3	-3	+6	-0.1
2012	28	AAA	Lehigh Valley IronPigs	—	17	17	2	0	0	0	0	3	0	0	0	118	118	118	235		143	18	0	106	-50	—	—	—	—	—	—
2013	29	MLB	Chicago Cubs	—	503	462	116	32	3	21	29	94	6	6	3	251	304	470	774	219	270	19	6	335	110	+6	+0	-8	-5	+11	0.3
2014	30	MLB	Washington Nationals	—	383	353	69	11	4	7	20	84	4	4	5	195	247	309	555	113	231	22	5	247	55	-20	-1	-0	-4	+8	-1.8
2014	30	AAA	Syracuse Chiefs	—	19	19	3	0	0	1	0	6	0	0	0	158	158	316	474	158	167	32	0	205	-11	—	—	—	—	—	—
2016	32	AAA	Toledo Mud Hens	—	125	118	29	4	0	3	6	28	0	0	0	246	282	356	638	110	295	22	5	284	36	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	2275	2090	529	118	22	52	134	408	23	30	22	253	305	405	711	152	288	18	6	312	98	-7	-3	-6	-34	+49	-0.0
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2005	21	A+ MLE	San Jose Giants	—	548	510	136	29	6	13	24	177	6	5	7	267	307	424	731	157	370	32	4	313	98	—	—	—	—	—	—
2006	22	AA MLE	Connecticut Defenders	—	510	483	124	23	7	11	14	99	12	8	3	257	295	402	696	145	299	19	3	304	92	—	—	—	—	—	—
2007	23	MLB MLE	San Francisco Giants	—	117	112	34	5	3	0	2	19	1	3	1	304	322	402	724	98	358	16	2	316	100	-0	+0	-1	-6	+3	-0.5
2007	23	AAA MLE	Fresno Grizzlies	—	439	417	123	26	6	13	11	75	6	10	4	295	323	480	802	185	327	17	3	344	119	—	—	—	—	—	—
2008	24	MLB MLE	San Francisco Giants	—	81	75	24	8	1	1	3	8	3	0	1	320	370	493	864	173	348	10	4	382	145	+4	-0	+7	-5	+2	0.7
2008	24	AAA MLE	Fresno Grizzlies	—	377	356	97	18	8	14	15	66	4	9	3	272	309	486	795	213	297	18	4	341	117	—	—	—	—	—	—
2009	25	MLB MLE	San Francisco Giants	—	308	288	76	19	2	5	13	58	1	3	1	264	298	396	694	132	311	19	4	302	91	-3	+0	+3	-4	+7	0.3
2009	25	AAA MLE	Fresno Grizzlies	—	19	18	4	1	0	0	1	1	0	1	0	222	263	278	541	56	213	5	5	210	28	—	—	—	—	—	—
2010	26	MLB MLE	San Francisco Giants	—	252	232	56	13	3	3	15	38	3	4	5	241	296	362	658	121	278	15	6	294	85	-5	-1	+3	-3	+5	0.0
2011	27	MLB MLE	San Francisco Giants	—	362	338	95	22	1	10	18	61	4	7	4	281	325	441	766	160	315	17	5	336	113	+6	-0	-6	-4	+8	0.4
2012	28	MLB MLE	Philadelphia Phillies	—	269	243	62	8	5	6	21	46	1	3	2	255	317	403	720	148	292	17	8	313	98	-1	-0	-3	-3	+6	-0.1
2012	28	AAA MLE	Lehigh Valley IronPigs	—	17	17	2	0	0	0	0	3	0	0	0	118	118	118	235		134	18	0	94	-50	—	—	—	—	—	—
2013	29	MLB MLE	Chicago Cubs	—	503	465	116	31	3	22	26	94	6	6	3	249	298	471	769	222	270	19	5	330	110	+6	+0	-8	-5	+11	0.3
2014	30	MLB MLE	Washington Nationals	—	383	353	70	11	5	7	20	84	4	4	5	198	249	317	567	119	231	22	5	250	55	-20	-1	-0	-4	+8	-1.8
2014	30	AAA MLE	Syracuse Chiefs	—	19	19	3	0	0	1	0	7	0	0	0	158	158	316	474	158	148	37	0	152	-11	—	—	—	—	—	—
2016	32	AAA MLE	Toledo Mud Hens	—	125	120	24	3	0	3	4	33	0	0	0	200	226	300	526	100	244	26	3	221	36	—	—	—	—	—	—
2005	21	A+ MLE	San Jose Giants	—	548	510	136	29	6	13	24	177	6	5	7	267	307	424	731	157	378	32	4	313	98	—	—	—	—	—	—
2005	21	A+ RAW	San Jose Giants	—	548	502	160	37	8	15	32	132	6	5	7	319	367	514	881	195	403	24	6	381	98	—	—	—	—	—	—
2006	22	AA MLE	Connecticut Defenders	—	510	483	124	23	7	11	14	99	12	8	3	257	295	402	696	145	302	19	3	304	92	—	—	—	—	—	—
2006	22	AA RAW	Connecticut Defenders	—	510	470	127	25	7	14	27	81	12	8	3	270	326	443	769	172	301	16	5	340	92	—	—	—	—	—	—
2007	23	AAA MLE	2 teams	—	556	529	157	31	9	13	13	94	7	13	5	297	322	463	786	166	336	17	2	338	115	—	—	—	—	—	—
2007	23	AAA RAW	2 teams	—	556	523	171	36	10	16	19	77	7	13	5	327	359	526	885	199	356	14	3	383	115	—	—	—	—	—	—
2008	24	AAA MLE	2 teams	—	458	431	121	26	9	15	18	74	7	9	4	281	320	487	807	206	308	16	4	348	122	—	—	—	—	—	—
2008	24	AAA RAW	2 teams	—	458	425	136	30	11	19	24	59	7	9	4	320	366	576	943	256	335	13	5	407	122	—	—	—	—	—	—
2009	25	MLB MLE	2 teams	—	327	306	80	20	2	5	14	59	1	4	1	261	296	389	685	127	302	18	4	297	87	-5	+0	+3	-4	+7	0.2
2009	25	MLB RAW	2 teams	—	327	303	80	20	2	5	17	59	1	4	1	264	305	393	698	129	306	18	5	305	87	-5	+0	+3	-4	+7	0.2
2010	26	MLB MLE	San Francisco Giants	—	252	232	56	13	3	3	15	38	3	4	5	241	296	362	658	121	276	15	6	294	85	-5	-1	+3	-3	+5	0.0
2010	26	MLB RAW	San Francisco Giants	—	252	227	55	13	3	3	20	38	3	4	5	242	312	366	678	123	278	15	8	304	85	-5	-1	+3	-3	+5	0.0
2011	27	MLB MLE	San Francisco Giants	—	362	338	95	22	1	10	18	61	4	7	4	281	325	441	766	160	316	17	5	336	113	+6	-0	-6	-4	+8	0.4
2011	27	MLB RAW	San Francisco Giants	—	362	335	93	22	1	9	21	61	4	7	4	278	328	430	758	152	315	17	6	335	113	+6	-0	-6	-4	+8	0.4
2012	28	MLB MLE	2 teams	—	286	260	64	8	5	6	21	49	1	3	2	246	305	385	690	138	279	17	7	300	89	-4	-0	-3	-3	+6	-0.4
2012	28	MLB RAW	2 teams	—	286	258	64	8	5	6	23	49	1	3	2	248	312	388	700	140	282	17	8	309	89	-4	-0	-3	-3	+6	-0.4
2013	29	MLB MLE	Chicago Cubs	—	503	465	116	31	3	22	26	94	6	6	3	249	298	471	769	222	266	19	5	330	110	+6	+0	-8	-5	+11	0.3
2013	29	MLB RAW	Chicago Cubs	—	503	462	116	32	3	21	29	94	6	6	3	251	304	470	774	219	270	19	6	335	110	+6	+0	-8	-5	+11	0.3
2014	30	MLB MLE	2 teams	—	402	372	73	11	5	8	20	91	4	4	5	196	245	317	562	121	233	23	5	245	52	-23	-1	-0	-4	+9	-2.1
2014	30	MLB RAW	2 teams	—	402	372	72	11	4	8	20	90	4	4	5	194	242	309	552	116	229	22	5	245	52	-23	-1	-0	-4	+9	-2.1
2016	32	AAA MLE	Toledo Mud Hens	—	125	120	24	3	0	3	4	33	0	0	0	200	226	300	526	100	247	26	3	221	36	—	—	—	—	—	—
2016	32	AAA RAW	Toledo Mud Hens	—	125	118	29	4	0	3	6	28	0	0	0	246	282	356	638	110	295	22	5	284	36	—	—	—	—	—	—
2005	21	A+ MLE	San Jose Giants	—	548	513	136	29	6	13	24	177	6	5	7	265	307	421	728	156	370	32	4	313	98	—	—	—	—	—	—
2006	22	AA MLE	Connecticut Defenders	—	510	479	124	23	7	11	14	99	12	8	3	259	295	405	700	146	299	19	3	304	92	—	—	—	—	—	—
2007	23	AAA MLE	2 teams	—	556	531	157	31	9	13	13	94	7	13	5	296	322	461	784	166	334	17	2	338	115	—	—	—	—	—	—
2008	24	AAA MLE	2 teams	—	458	430	121	26	9	15	18	74	7	9	4	281	320	488	809	207	306	16	4	348	122	—	—	—	—	—	—
2009	25	MLB MLE	2 teams	—	327	309	80	20	2	5	14	59	1	4	1	259	296	385	681	126	306	18	4	297	87	—	—	—	—	—	—
2010	26	MLB MLE	San Francisco Giants	—	252	232	56	13	3	3	15	38	3	4	5	241	296	362	658	121	278	15	6	294	85	—	—	—	—	—	—
2011	27	MLB MLE	San Francisco Giants	—	362	337	95	22	1	10	18	61	4	7	4	282	325	442	767	160	315	17	5	336	113	—	—	—	—	—	—
2012	28	MLB MLE	2 teams	—	286	262	64	8	5	6	21	49	1	3	2	244	305	382	687	137	282	17	7	300	89	—	—	—	—	—	—
2013	29	MLB MLE	Chicago Cubs	—	503	466	116	31	3	22	26	94	6	6	3	249	298	470	768	221	270	19	5	330	110	—	—	—	—	—	—
2014	30	MLB MLE	2 teams	—	402	375	73	11	5	8	20	91	4	4	5	195	245	315	560	120	227	23	5	245	52	—	—	—	—	—	—
2016	32	AAA MLE	Toledo Mud Hens	—	125	120	24	3	0	3	4	33	0	0	0	200	226	300	526	100	244	26	3	221	36	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2275	2090	529	118	22	52	134	408	23	30	22	253	305	405	711	152	288	18	6	312	96	-7	-3	-6	-34	+49	-0.0
/ 162G	—	A+C		—	650	597	151	34	6	15	38	117	7	9	6	253	305	405	711	152	288	18	6	312	96	-2	-1	-2	-10	+14	-0.0
Career	—	MLE		—	4329	4046	1046	217	50	109	187	869	51	63	39	259	300	418	717	159	302	20	4	311	96	-7	-3	-6	-34	+49	-0.0
/ 162G	—	MLE		—	650	608	158	33	8	16	28	130	8	9	6	260	302	419	721	160	303	20	4	311	96	-2	-1	-2	-10	+14	-0.0

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 AAAToledo Mud Hens · 125 PAwOBA .278 → .221 (−57)K% 22.4% → 26.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.40%	÷1.009	×1.200	—	—	26.63%
BB% (unintentional) /PA	4.80%	÷1.004	×0.690	—	×0.952	3.14%
HBP% /PA	0.00%	—	×0.940	—	×0.952	0.00%
Singles /BIP	24.44%	÷1.001	×0.930	×0.964	×0.952	20.83%
Doubles /BIP	4.44%	÷1.092	×0.830	×0.964	×0.952	3.10%
Triples /BIP	0.00%	÷1.150	×0.970	×0.964	×0.952	0.00%
Home runs /BIP	3.33%	÷0.899	×0.840	—	×0.952	2.96%

Factors used: league row IL. Park (home-season share, regressed): HR 80, 1B 100, 2B 118, 3B 130, K 102, BB 101 — 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 ×0.964.

Result: wOBA .278 → .221; ISO .110 → .089; BABIP .295 → .244. 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 AAASyracuse Chiefs · 19 PAwOBA .198 → .152 (−46)K% 31.6% → 39.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	31.58%	÷0.965	×1.200	—	—	39.26%
BB% (unintentional) /PA	0.00%	÷0.972	×0.690	—	×0.972	0.00%
HBP% /PA	0.00%	—	×0.940	—	×0.972	0.00%
Singles /BIP	15.38%	÷1.003	×0.930	—	×0.972	13.86%
Doubles /BIP	0.00%	÷1.027	×0.830	—	×0.972	0.00%
Triples /BIP	0.00%	÷1.063	×0.970	—	×0.972	0.00%
Home runs /BIP	7.69%	÷0.985	×0.840	—	×0.972	6.38%

Factors used: league row IL. Park (home-season share, regressed): HR 97, 1B 101, 2B 105, 3B 113, K 93, BB 94 — applied at half strength. Age: age 30 vs a level average of 27.2 → −2.8% on BB/HBP/hit rates (2.8 yr older than average).

Result: wOBA .198 → .152; ISO .158 → .116; BABIP .167 → .148. 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).

2012 AAALehigh Valley IronPigs · 17 PAwOBA .104 → .094 (−9)K% 17.6% → 20.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.65%	÷1.057	×1.200	—	—	20.03%
BB% (unintentional) /PA	0.00%	÷1.157	×0.690	—	×0.992	0.00%
HBP% /PA	0.00%	—	×0.940	—	×0.992	0.00%
Singles /BIP	14.29%	÷0.984	×0.930	—	×0.992	13.40%
Doubles /BIP	0.00%	÷1.005	×0.830	—	×0.992	0.00%
Triples /BIP	0.00%	÷1.150	×0.970	—	×0.992	0.00%
Home runs /BIP	0.00%	÷1.249	×0.840	—	×0.992	0.00%

Factors used: league row IL. Park (home-season share, regressed): HR 150, 1B 97, 2B 101, 3B 130, K 111, BB 131 — 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 .104 → .094; ISO .000 → .000; BABIP .143 → .134. 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 AAAFresno Grizzlies · 19 PAwOBA .241 → .210 (−30)K% 5.3% → 6.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	5.26%	÷1.000	×1.290	—	—	6.79%
BB% (unintentional) /PA	5.26%	÷1.000	×0.710	—	×1.033	3.86%
HBP% /PA	0.00%	—	×0.980	—	×1.033	0.00%
Singles /BIP	17.65%	÷1.000	×0.900	—	×1.033	16.41%
Doubles /BIP	5.88%	÷1.000	×0.810	—	×1.033	4.92%
Triples /BIP	0.00%	÷1.000	×0.810	—	×1.033	0.00%
Home runs /BIP	0.00%	÷1.000	×0.780	—	×1.033	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 25 vs a level average of 27.2 → +3.3% on BB/HBP/hit rates (2.2 yr younger than average).

Result: wOBA .241 → .210; ISO .056 → .046; BABIP .235 → .213. 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 AAAFresno Grizzlies · 377 PAwOBA .402 → .341 (−61)K% 13.5% → 17.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.53%	÷1.000	×1.290	—	—	17.45%
BB% (unintentional) /PA	5.31%	÷1.000	×0.710	—	×1.048	3.95%
HBP% /PA	1.06%	—	×0.980	—	×1.048	1.09%
Singles /BIP	20.74%	÷1.000	×0.900	×0.993	×1.048	19.43%
Doubles /BIP	7.36%	÷1.000	×0.810	×0.993	×1.048	6.20%
Triples /BIP	3.34%	÷1.000	×0.810	×0.993	×1.048	2.82%
Home runs /BIP	6.02%	÷1.000	×0.780	—	×1.048	4.92%

Factors used: league row PCL. 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 27.2 → +4.8% on BB/HBP/hit rates (3.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.993.

Result: wOBA .402 → .341; ISO .274 → .222; BABIP .332 → .297. 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 AAAFresno Grizzlies · 439 PAwOBA .390 → .344 (−46)K% 13.2% → 17.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.21%	÷1.000	×1.290	—	—	17.04%
BB% (unintentional) /PA	3.19%	÷1.000	×0.710	—	×1.050	2.38%
HBP% /PA	1.37%	—	×0.980	—	×1.050	1.41%
Singles /BIP	23.51%	÷1.000	×0.900	×1.016	×1.050	22.58%
Doubles /BIP	8.78%	÷1.000	×0.810	×1.016	×1.050	7.59%
Triples /BIP	1.98%	÷1.000	×0.810	×1.016	×1.050	1.71%
Home runs /BIP	4.53%	÷1.000	×0.780	—	×1.050	3.71%

Factors used: league row PCL. 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 27.2 → +5.0% on BB/HBP/hit rates (4.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.016.

Result: wOBA .390 → .344; ISO .226 → .187; BABIP .355 → .327. 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 AAConnecticut Defenders · 510 PAwOBA .326 → .304 (−22)K% 15.9% → 19.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.88%	÷1.000	×1.220	—	—	19.38%
BB% (unintentional) /PA	3.73%	÷1.000	×0.700	—	×1.042	2.72%
HBP% /PA	2.35%	—	×0.850	—	×1.042	2.08%
Singles /BIP	20.82%	÷1.000	×0.970	×1.019	×1.042	21.45%
Doubles /BIP	6.43%	÷1.000	×0.860	×1.019	×1.042	5.87%
Triples /BIP	1.80%	÷1.000	×0.950	×1.019	×1.042	1.82%
Home runs /BIP	3.60%	÷1.000	×0.780	—	×1.042	2.93%

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 ×1.019.

Result: wOBA .326 → .304; ISO .172 → .150; BABIP .301 → .299. 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 A+San Jose Giants · 548 PAwOBA .374 → .313 (−61)K% 24.1% → 32.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.09%	÷1.000	×1.340	—	—	32.28%
BB% (unintentional) /PA	5.84%	÷1.000	×0.710	—	×1.027	4.26%
HBP% /PA	1.09%	—	×0.790	—	×1.027	0.89%
Singles /BIP	27.03%	÷1.000	×0.910	×1.021	×1.027	25.79%
Doubles /BIP	10.00%	÷1.000	×0.820	×1.021	×1.027	8.60%
Triples /BIP	2.16%	÷1.000	×0.760	×1.021	×1.027	1.72%
Home runs /BIP	4.05%	÷1.000	×0.920	—	×1.027	3.83%

Factors used: league row CAL. 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 22.8 → +2.7% on BB/HBP/hit rates (1.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.021.

Result: wOBA .374 → .313; ISO .195 → .161; BABIP .403 → .370. 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).