Daric Barton

Pos1B

B/TL/R

Born1985-08-16

Age (2027)41

No MLB projection yet. Career stats below are historical.

Overview

INTLLAST SEASON 2018

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2016	30	AAAPericos de Pu…	390	.261/.432/.519	20	1	92	—	.197/.310/.364
2017	31	AAAAcereros del …	96	.217/.426/.391	3	0	78	—	.169/.319/.286
2018	32	INTLCharros de Ja…	94	.216/.383/.378	3	0	125	—

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	19	AA	Midland RockHounds	—	249	212	67	20	1	5	35	30	0	1	1	316	413	491	904	175	346	12	14	398	127	—	—	—	—	—	—
2005	19	A+	Stockton Ports	—	362	292	93	16	2	8	62	49	3	0	1	318	441	469	911	151	356	14	17	405	122	—	—	—	—	—	—
2006	20	AAA	Sacramento River Cats	—	180	147	38	6	4	2	32	26	0	1	0	259	391	395	786	136	300	14	18	357	83	—	—	—	—	—	—
2007	21	MLB	Oakland Athletics	—	84	72	25	9	0	4	10	11	1	1	0	347	434	639	1.073	292	362	13	12	458	196	+10	+0	-0	-12	+2	-0.1
2007	21	AAA	Sacramento River Cats	—	604	516	151	38	5	9	78	69	6	3	4	293	392	438	830	145	321	11	13	371	96	—	—	—	—	—	—
2008	22	MLB	Oakland Athletics	—	523	446	101	17	5	9	65	99	3	2	1	226	329	348	676	121	270	19	12	305	88	-7	+0	-6	-10	+11	-1.2
2008	22	AAA	Sacramento River Cats	—	33	31	6	0	0	1	2	0	0	0	0	194	242	290	533	97	167	0	6	242	28	—	—	—	—	—	—
2009	23	MLB	Oakland Athletics	—	192	160	43	12	1	3	26	25	2	0	2	269	378	412	790	144	296	13	14	351	123	+5	-1	-1	-9	+4	-0.2
2009	23	AAA	Sacramento River Cats	—	313	253	66	21	1	9	45	43	9	1	0	261	391	458	849	198	278	14	14	374	97	—	—	—	—	—	—
2009	23	ROK	AZL Athletics	—	24	18	5	1	0	1	6	4	0	0	0	278	458	500	958	222	308	17	25	428	86	—	—	—	—	—	—
2010	24	MLB	Oakland Athletics	—	686	556	152	33	5	10	110	102	3	7	3	273	396	405	801	131	316	15	16	356	127	+22	+0	+0	-12	+15	2.6
2011	25	MLB	Oakland Athletics	—	280	236	50	13	0	0	39	47	2	2	1	212	329	267	595	55	260	17	14	282	71	-10	+0	-3	-6	+6	-1.3
2011	25	AAA	Sacramento River Cats	—	76	61	12	2	0	0	14	16	0	0	0	197	342	230	572	33	267	21	18	281	44	—	—	—	—	—	—
2012	26	MLB	Oakland Athletics	—	136	113	23	7	0	1	22	32	1	1	0	204	338	292	630	88	275	24	16	299	89	-2	+0	+1	-8	+3	-0.6
2012	26	AAA	Sacramento River Cats	—	336	259	66	14	3	8	66	53	6	7	1	255	417	425	842	170	286	16	20	378	94	—	—	—	—	—	—
2013	27	MLB	Oakland Athletics	—	120	104	28	2	0	3	13	18	1	0	0	269	356	375	731	106	294	15	11	329	112	+2	+0	+0	-11	+3	-0.6
2013	27	AAA	Sacramento River Cats	—	488	391	116	29	1	7	87	57	3	1	2	297	428	430	858	133	327	12	18	385	97	—	—	—	—	—	—
2014	28	MLB	Oakland Athletics	—	64	57	9	1	0	0	5	14	1	0	0	158	238	175	414	18	205	22	8	199	21	-6	+0	-1	-8	+1	-1.4
2014	28	AAA	Sacramento River Cats	—	375	314	82	18	1	9	51	40	6	0	1	261	375	411	785	150	271	11	14	353	78	—	—	—	—	—	—
2015	29	AAA	Buffalo Bisons	—	111	97	19	4	0	2	12	21	0	0	0	196	284	299	583	103	227	19	11	265	33	—	—	—	—	—	—
2015	29	AA	New Hampshire Fisher Cats	—	19	17	6	2	0	1	2	2	0	0	0	353	421	647	1.068	294	357	11	11	461	122	—	—	—	—	—	—
2016	30	AAA	Pericos de Puebla	—	390	295	77	16	0	20	75	62	14	1	2	261	432	519	951	258	264	16	19	415	92	—	—	—	—	—	—
2017	31	AAA	Acereros del Norte	—	96	69	15	3	0	3	25	14	0	0	0	217	426	391	817	174	226	15	26	372	78	—	—	—	—	—	—
2018	32	INTL	Charros de Jalisco	—	94	74	16	3	0	3	18	18	2	0	0	216	383	378	761	162	245	19	19	353	125	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	2085	1744	431	94	11	30	290	348	14	13	7	247	359	365	724	118	290	17	14	327	107	+18	-0	-10	-77	+45	-2.4
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2005	19	AA MLE	Midland RockHounds	—	249	222	66	19	1	4	25	37	0	1	1	297	368	446	814	149	332	15	10	356	127	—	—	—	—	—	—
2005	19	A+ MLE	Stockton Ports	—	362	309	87	14	2	8	46	66	3	0	1	282	380	417	797	136	322	18	13	348	122	—	—	—	—	—	—
2006	20	AAA MLE	Sacramento River Cats	—	180	155	34	5	3	2	24	33	0	1	0	219	324	329	653	110	263	18	13	291	83	—	—	—	—	—	—
2007	21	MLB MLE	Oakland Athletics	—	84	72	25	9	0	4	10	11	1	1	0	347	434	639	1.073	292	362	13	12	458	196	+10	+0	-0	-12	+2	-0.1
2007	21	AAA MLE	Sacramento River Cats	—	604	536	135	32	4	7	58	89	6	3	4	252	332	366	697	114	285	15	10	310	96	—	—	—	—	—	—
2008	22	MLB MLE	Oakland Athletics	—	523	451	101	17	5	9	60	99	3	2	1	224	319	344	663	120	270	19	11	298	88	-7	+0	-6	-10	+11	-1.2
2008	22	AAA MLE	Sacramento River Cats	—	33	32	6	0	0	1	1	0	0	0	0	188	212	281	493	94	157	0	3	210	28	—	—	—	—	—	—
2009	23	MLB MLE	Oakland Athletics	—	192	160	43	12	1	3	26	25	2	0	2	269	378	412	790	144	296	13	14	351	123	+5	-1	-1	-9	+4	-0.2
2009	23	AAA MLE	Sacramento River Cats	—	313	266	58	17	1	8	32	55	9	1	0	218	322	380	702	162	238	18	10	311	97	—	—	—	—	—	—
2009	23	ROK MLE	AZL Athletics	—	24	20	4	1	0	1	4	6	0	0	0	200	333	400	733	200	229	25	17	295	86	—	—	—	—	—	—
2010	24	MLB MLE	Oakland Athletics	—	686	558	153	32	5	11	108	102	3	7	3	274	395	409	803	134	316	15	16	356	127	+22	+0	+0	-12	+15	2.6
2011	25	MLB MLE	Oakland Athletics	—	280	239	50	13	0	0	36	47	2	2	1	209	318	264	581	54	260	17	13	273	71	-10	+0	-3	-6	+6	-1.3
2011	25	AAA MLE	Sacramento River Cats	—	76	66	12	2	0	0	10	20	0	0	0	182	289	212	502	30	249	26	13	233	44	—	—	—	—	—	—
2012	26	MLB MLE	Oakland Athletics	—	136	113	23	7	0	1	22	32	1	1	0	204	338	292	630	88	275	24	16	299	89	-2	+0	+1	-8	+3	-0.6
2012	26	AAA MLE	Sacramento River Cats	—	336	281	60	11	2	7	44	66	6	7	1	214	332	342	674	128	245	20	13	307	94	—	—	—	—	—	—
2013	27	MLB MLE	Oakland Athletics	—	120	104	28	2	0	3	13	18	1	0	0	269	356	375	731	106	294	15	11	334	112	+2	+0	+0	-11	+3	-0.6
2013	27	AAA MLE	Sacramento River Cats	—	488	417	104	23	1	6	61	72	3	1	2	249	349	353	702	103	277	15	12	312	97	—	—	—	—	—	—
2014	28	MLB MLE	Oakland Athletics	—	64	57	9	1	0	0	5	14	1	0	0	158	238	175	414	18	205	22	8	199	21	-6	+0	-1	-8	+1	-1.4
2014	28	AAA MLE	Sacramento River Cats	—	375	329	71	15	1	6	36	52	6	0	1	216	305	322	627	106	231	14	10	284	78	—	—	—	—	—	—
2015	29	AAA MLE	Buffalo Bisons	—	111	103	18	4	0	2	6	25	0	0	0	175	220	272	492	97	204	23	5	217	33	—	—	—	—	—	—
2015	29	AA MLE	New Hampshire Fisher Cats	—	19	18	6	2	0	1	1	3	0	0	0	333	368	611	980	278	300	16	5	348	122	—	—	—	—	—	—
2016	30	AAA MLE	Pericos de Puebla	—	390	330	65	13	0	14	40	81	14	1	2	197	310	364	674	167	207	21	10	304	92	—	—	—	—	—	—
2017	31	AAA MLE	Acereros del Norte	—	96	77	13	3	0	2	17	17	0	0	0	169	319	286	605	117	181	18	18	283	78	—	—	—	—	—	—
2005	19	A+ MLE	2 teams	—	611	531	152	32	3	12	71	102	3	1	2	286	374	426	799	139	331	17	12	351	124	—	—	—	—	—	—
2005	19	A+ RAW	2 teams	—	611	504	160	36	3	13	97	79	3	1	2	317	430	478	908	161	352	13	16	402	124	—	—	—	—	—	—
2006	20	AAA MLE	Sacramento River Cats	—	180	155	34	5	3	2	24	33	0	1	0	219	324	329	653	110	264	18	13	291	83	—	—	—	—	—	—
2006	20	AAA RAW	Sacramento River Cats	—	180	147	38	6	4	2	32	26	0	1	0	259	391	395	786	136	300	14	18	357	83	—	—	—	—	—	—
2007	21	AAA MLE	2 teams	—	688	608	160	41	4	11	68	100	7	4	4	263	344	398	742	135	297	15	10	328	108	—	—	—	—	—	—
2007	21	AAA RAW	2 teams	—	688	588	176	47	5	13	88	80	7	4	4	299	397	463	859	163	326	12	13	381	108	—	—	—	—	—	—
2008	22	MLB MLE	2 teams	—	556	483	107	17	5	10	61	99	3	2	1	222	313	340	652	118	257	18	11	293	85	-10	+0	-6	-10	+12	-1.4
2008	22	MLB RAW	2 teams	—	556	477	107	17	5	10	67	99	3	2	1	224	324	344	667	119	261	18	12	301	85	-10	+0	-6	-10	+12	-1.4
2009	23	AAA MLE	3 teams	—	529	447	105	30	2	11	61	86	11	1	2	235	341	385	726	150	263	16	12	325	106	—	—	—	—	—	—
2009	23	AAA RAW	3 teams	—	529	431	114	34	2	13	77	72	11	1	2	265	389	443	832	179	286	14	15	368	106	—	—	—	—	—	—
2010	24	MLB MLE	Oakland Athletics	—	686	558	153	32	5	11	108	102	3	7	3	274	395	409	803	134	316	15	16	356	127	+22	+0	+0	-12	+15	2.6
2010	24	MLB RAW	Oakland Athletics	—	686	556	152	33	5	10	110	102	3	7	3	273	396	405	801	131	316	15	16	356	127	+22	+0	+0	-12	+15	2.6
2011	25	MLB MLE	2 teams	—	356	305	61	14	0	0	46	67	2	2	1	200	309	246	555	46	253	19	13	264	65	-15	+0	-3	-6	+8	-1.7
2011	25	MLB RAW	2 teams	—	356	297	62	15	0	0	53	63	2	2	1	209	331	259	591	51	262	18	15	282	65	-15	+0	-3	-6	+8	-1.7
2012	26	AAA MLE	2 teams	—	472	394	83	18	2	8	66	98	7	8	1	211	334	327	661	117	256	21	14	305	92	—	—	—	—	—	—
2012	26	AAA RAW	2 teams	—	472	372	89	21	3	9	88	85	7	8	1	239	394	384	778	145	283	18	19	355	92	—	—	—	—	—	—
2013	27	AAA MLE	2 teams	—	608	521	132	25	1	9	74	90	4	1	2	253	351	357	708	104	286	15	12	316	100	—	—	—	—	—	—
2013	27	AAA RAW	2 teams	—	608	495	144	31	1	10	100	75	4	1	2	291	414	418	832	127	321	12	16	374	100	—	—	—	—	—	—
2014	28	AAA MLE	2 teams	—	439	386	80	16	1	6	41	66	7	0	1	207	295	301	595	93	232	15	9	272	70	—	—	—	—	—	—
2014	28	AAA RAW	2 teams	—	439	371	91	19	1	9	56	54	7	0	1	245	355	375	730	129	262	12	13	330	70	—	—	—	—	—	—
2015	29	AAA MLE	2 teams	—	130	120	22	5	0	2	8	28	0	0	0	183	234	275	509	92	220	22	6	236	46	—	—	—	—	—	—
2015	29	AAA RAW	2 teams	—	130	114	25	6	0	3	14	23	0	0	0	219	305	351	656	132	247	18	11	294	46	—	—	—	—	—	—
2016	30	AAA MLE	Pericos de Puebla	—	390	330	65	13	0	14	40	81	14	1	2	197	310	364	674	167	214	21	10	304	92	—	—	—	—	—	—
2016	30	AAA RAW	Pericos de Puebla	—	390	295	77	16	0	20	75	62	14	1	2	261	432	519	951	258	264	16	19	415	92	—	—	—	—	—	—
2017	31	AAA MLE	Acereros del Norte	—	96	77	13	3	0	2	17	17	0	0	0	169	319	286	605	117	186	18	18	283	78	—	—	—	—	—	—
2017	31	AAA RAW	Acereros del Norte	—	96	69	15	3	0	3	25	14	0	0	0	217	426	391	817	174	226	15	26	372	78	—	—	—	—	—	—
2018	32	INTL MLE	Charros de Jalisco	—	94	74	16	3	0	3	18	18	2	0	0	216	383	378	761	162	245	19	19	—	—	—	—	—	—	—	—
2018	32	INTL RAW	Charros de Jalisco	—	94	74	16	3	0	3	18	18	2	0	0	216	383	378	761	162	245	19	19	353	125	—	—	—	—	—	—
2005	19	A+ MLE	2 teams	—	611	532	152	32	3	12	71	102	3	1	2	286	374	425	798	139	326	17	12	351	124	—	—	—	—	—	—
2006	20	AAA MLE	Sacramento River Cats	—	180	154	34	5	3	2	24	33	0	1	0	221	324	331	655	110	263	18	13	291	83	—	—	—	—	—	—
2007	21	AAA MLE	2 teams	—	688	608	160	41	4	11	68	100	7	4	4	263	344	398	742	135	294	15	10	328	108	—	—	—	—	—	—
2008	22	MLB MLE	2 teams	—	556	487	107	17	5	10	61	99	3	2	1	220	313	337	649	117	263	18	11	293	85	—	—	—	—	—	—
2009	23	AAA MLE	3 teams	—	529	452	105	30	2	11	61	86	11	1	2	232	341	381	722	148	259	16	12	325	106	—	—	—	—	—	—
2010	24	MLB MLE	Oakland Athletics	—	686	570	153	32	5	11	108	102	3	7	3	268	395	400	795	132	316	15	16	356	127	—	—	—	—	—	—
2011	25	MLB MLE	2 teams	—	356	305	61	14	0	0	46	67	2	2	1	200	309	246	555	46	258	19	13	264	65	—	—	—	—	—	—
2012	26	AAA MLE	2 teams	—	472	396	83	18	2	8	66	98	7	8	1	210	334	326	660	116	254	21	14	305	92	—	—	—	—	—	—
2013	27	AAA MLE	2 teams	—	608	525	132	25	1	9	74	90	4	1	2	251	351	354	705	103	280	15	12	316	100	—	—	—	—	—	—
2014	28	AAA MLE	2 teams	—	439	388	80	16	1	6	41	66	7	0	1	206	295	299	594	93	227	15	9	272	70	—	—	—	—	—	—
2015	29	AAA MLE	2 teams	—	130	121	22	5	0	2	8	28	0	0	0	182	234	273	507	91	218	22	6	236	46	—	—	—	—	—	—
2016	30	AAA MLE	Pericos de Puebla	—	390	333	65	13	0	14	40	81	14	1	2	195	310	360	670	165	207	21	10	304	92	—	—	—	—	—	—
2017	31	AAA MLE	Acereros del Norte	—	96	79	13	3	0	2	17	17	0	0	0	165	319	278	598	114	181	18	18	283	78	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2085	1744	431	94	11	30	290	348	14	13	7	247	359	365	724	118	290	17	14	327	95	+18	-0	-10	-77	+45	-2.4
/ 162G	—	A+C		—	650	544	133	29	3	9	90	108	4	4	2	244	356	358	714	114	286	17	14	327	95	+6	-0	-3	-24	+14	-0.8
Career	—	MLE		—	5835	4989	1183	254	26	101	703	987	63	28	19	237	339	359	698	122	274	17	12	308	95	+18	-0	-10	-77	+45	-2.4
/ 162G	—	MLE		—	650	556	131	28	3	11	78	110	7	3	2	236	337	356	693	121	272	17	12	308	95	+6	-0	-3	-24	+14	-0.8

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 AAAAcereros del Norte · 96 PAwOBA .368 → .283 (−84)K% 14.6% → 17.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.58%	÷0.996	×1.200	—	—	17.58%
BB% (unintentional) /PA	26.04%	÷0.985	×0.690	—	×0.952	17.36%
HBP% /PA	0.00%	—	×0.940	—	×0.952	0.00%
Singles /BIP	16.36%	÷1.025	×0.930	×0.950	×0.952	13.42%
Doubles /BIP	5.45%	÷0.958	×0.830	×0.950	×0.952	4.27%
Triples /BIP	0.00%	÷1.109	×0.920	×0.950	×0.952	0.00%
Home runs /BIP	5.45%	÷0.969	×0.700	—	×0.952	3.75%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 94, 1B 105, 2B 92, 3B 122, K 99, BB 97 — 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 .368 → .283; ISO .174 → .141; BABIP .226 → .181. 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 AAAPericos de Puebla · 390 PAwOBA .401 → .304 (−97)K% 15.9% → 20.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.90%	÷0.921	×1.200	—	—	20.72%
BB% (unintentional) /PA	16.92%	÷1.091	×0.690	—	×0.962	10.29%
HBP% /PA	3.59%	—	×0.940	—	×0.962	3.25%
Singles /BIP	17.60%	÷1.048	×0.930	×0.980	×0.962	14.73%
Doubles /BIP	6.87%	÷1.075	×0.830	×0.980	×0.962	5.00%
Triples /BIP	0.00%	÷1.008	×0.920	×0.980	×0.962	0.00%
Home runs /BIP	8.58%	÷1.024	×0.700	—	×0.962	5.65%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 105, 1B 110, 2B 115, 3B 102, K 84, BB 118 — 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 ×0.980.

Result: wOBA .401 → .304; ISO .258 → .191; BABIP .264 → .207. 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).

2015 AAABuffalo Bisons · 111 PAwOBA .253 → .217 (−36)K% 18.9% → 22.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.92%	÷1.008	×1.200	—	—	22.53%
BB% (unintentional) /PA	9.01%	÷1.040	×0.690	—	×0.972	5.81%
HBP% /PA	0.00%	—	×0.940	—	×0.972	0.00%
Singles /BIP	17.11%	÷0.981	×0.930	×0.995	×0.972	15.69%
Doubles /BIP	5.26%	÷0.944	×0.830	×0.995	×0.972	4.48%
Triples /BIP	0.00%	÷0.900	×0.970	×0.995	×0.972	0.00%
Home runs /BIP	2.63%	÷0.966	×0.840	—	×0.972	2.22%

Factors used: league row IL. Park (home-season share, regressed): HR 93, 1B 96, 2B 89, 3B 80, K 102, BB 108 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.995.

Result: wOBA .253 → .217; ISO .103 → .091; BABIP .227 → .204. 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).

2015 AANew Hampshire Fisher Cats · 19 PAwOBA .448 → .348 (−100)K% 10.5% → 13.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	10.53%	÷0.960	×1.220	—	—	13.38%
BB% (unintentional) /PA	10.53%	÷1.026	×0.700	—	×0.948	6.81%
HBP% /PA	0.00%	—	×0.850	—	×0.948	0.00%
Singles /BIP	20.00%	÷0.996	×0.970	—	×0.948	18.46%
Doubles /BIP	13.33%	÷1.064	×0.860	—	×0.948	10.22%
Triples /BIP	0.00%	÷1.150	×0.950	—	×0.948	0.00%
Home runs /BIP	6.67%	÷1.130	×0.780	—	×0.948	4.36%

Factors used: league row EL. Park (home-season share, regressed): HR 126, 1B 99, 2B 113, 3B 130, K 92, BB 105 — applied at half strength. Age: age 30 vs a level average of 24.8 → −5.2% on BB/HBP/hit rates (5.2 yr older than average).

Result: wOBA .448 → .348; ISO .294 → .208; BABIP .357 → .300. 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 AAASacramento River Cats · 375 PAwOBA .346 → .284 (−62)K% 10.7% → 13.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	10.67%	÷0.998	×1.290	—	—	13.79%
BB% (unintentional) /PA	13.07%	÷0.953	×0.710	—	×0.982	9.56%
HBP% /PA	1.60%	—	×0.980	—	×0.982	1.54%
Singles /BIP	19.71%	÷0.975	×0.900	×0.965	×0.982	17.25%
Doubles /BIP	6.57%	÷0.929	×0.810	×0.965	×0.982	5.43%
Triples /BIP	0.36%	÷1.072	×0.810	×0.965	×0.982	0.26%
Home runs /BIP	3.28%	÷1.092	×0.780	—	×0.982	2.30%

Factors used: league row PCL. Park (home-season share, regressed): HR 118, 1B 95, 2B 86, 3B 114, K 100, BB 91 — 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 ×0.965.

Result: wOBA .346 → .284; ISO .150 → .115; BABIP .271 → .231. 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).

2013 AAASacramento River Cats · 488 PAwOBA .381 → .312 (−68)K% 11.7% → 14.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	11.68%	÷1.016	×1.290	—	—	14.82%
BB% (unintentional) /PA	17.83%	÷1.007	×0.710	—	×0.992	12.47%
HBP% /PA	0.61%	—	×0.980	—	×0.992	0.60%
Singles /BIP	23.65%	÷0.981	×0.900	×0.971	×0.992	20.90%
Doubles /BIP	8.68%	÷1.037	×0.810	×0.971	×0.992	6.53%
Triples /BIP	0.30%	÷0.906	×0.810	×0.971	×0.992	0.26%
Home runs /BIP	2.10%	÷0.978	×0.780	—	×0.992	1.66%

Factors used: league row PCL. Park (home-season share, regressed): HR 96, 1B 96, 2B 107, 3B 81, K 103, BB 101 — 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 ×0.971.

Result: wOBA .381 → .312; ISO .133 → .108; BABIP .327 → .277. 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 AAASacramento River Cats · 336 PAwOBA .374 → .307 (−67)K% 15.8% → 19.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.77%	÷1.034	×1.290	—	—	19.69%
BB% (unintentional) /PA	19.35%	÷1.064	×0.710	—	×1.003	12.95%
HBP% /PA	1.79%	—	×0.980	—	×1.003	1.76%
Singles /BIP	19.90%	÷0.940	×0.900	×0.950	×1.003	18.16%
Doubles /BIP	6.80%	÷1.045	×0.810	×0.950	×1.003	5.02%
Triples /BIP	1.46%	÷1.062	×0.810	×0.950	×1.003	1.06%
Home runs /BIP	3.88%	÷0.925	×0.780	—	×1.003	3.28%

Factors used: league row PCL. Park (home-season share, regressed): HR 85, 1B 88, 2B 109, 3B 112, K 107, BB 113 — applied at half strength. Age: age 27 vs a level average of 27.2 → +0.3% on BB/HBP/hit rates (0.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .374 → .307; ISO .170 → .145; BABIP .286 → .245. 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 AAASacramento River Cats · 76 PAwOBA .276 → .233 (−42)K% 21.1% → 26.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.05%	÷1.021	×1.290	—	—	26.60%
BB% (unintentional) /PA	18.42%	÷0.991	×0.710	—	×1.018	13.43%
HBP% /PA	0.00%	—	×0.980	—	×1.018	0.00%
Singles /BIP	22.22%	÷0.995	×0.900	×1.019	×1.018	20.85%
Doubles /BIP	4.44%	÷0.916	×0.810	×1.019	×1.018	4.08%
Triples /BIP	0.00%	÷1.048	×0.810	×1.019	×1.018	0.00%
Home runs /BIP	0.00%	÷0.936	×0.780	—	×1.018	0.00%

Factors used: league row PCL. Park (home-season share, regressed): HR 87, 1B 99, 2B 83, 3B 110, K 104, 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 ×1.019.

Result: wOBA .276 → .233; ISO .033 → .030; BABIP .267 → .249. 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).

Not traceable per stint: some stints lack the counting stats the component translation needs. Level-wide factors that apply instead — .