Carlos González

PosRF

B/TL/L

Born1985-10-17

Age (2027)41

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	31	MLBCOL	534	.262/.343/.423	14	3	106	0.6
2018	32	MLBCOL	504	.276/.331/.467	16	5	107	1.0
2019	33	AAACHC	38	.323/.432/.548	2	0	105	—	.242/.324/.364
2019	33	MLBCHC	166	.200/.293/.283	3	0	64	-0.7
2020	34	No MLB games played
2021	35	No MLB games played
2022	36	No MLB games played
2023	37	No MLB games played
2024	38	No MLB games played
2025	39	No MLB games played
2026	40	No MLB games played

Last 3 seasons WAR 1.0

Contract

No contract data on file.

Skills · percentileStatcast 2017-2019

xwOBA41

Avg EV41

Speed40

Barrel%34

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	A	South Bend Silver Hawks	—	569	515	158	28	6	18	48	86	5	7	3	307	371	489	861	183	340	15	8	380	100	—	—	—	—	—	—
2006	20	AA	Tennessee Smokies	—	69	61	13	6	0	2	7	12	0	1	0	213	294	410	704	197	234	17	10	308	72	—	—	—	—	—	—
2006	20	A+	Lancaster JetHawks	—	452	403	121	35	4	21	30	104	10	15	8	300	363	563	927	263	348	23	7	395	109	—	—	—	—	—	—
2007	21	AAA	Tucson Sidewinders	—	48	42	13	5	0	1	6	6	0	1	0	310	396	500	896	190	343	12	12	396	109	—	—	—	—	—	—
2007	21	AA	Mobile BayBears	—	499	458	131	33	3	16	32	103	1	9	5	286	334	476	810	190	333	21	6	351	95	—	—	—	—	—	—
2008	22	MLB	Oakland Athletics	—	316	302	73	22	1	4	13	81	0	4	1	242	273	361	634	119	318	26	4	281	75	-9	+0	+11	+2	+7	1.1
2008	22	AAA	Sacramento River Cats	—	189	173	49	9	1	4	16	35	0	1	1	283	344	416	760	133	336	19	8	340	81	—	—	—	—	—	—
2009	23	MLB	Colorado Rockies	—	317	278	79	14	7	13	28	70	3	16	4	284	356	525	881	241	333	22	9	375	135	+13	+2	+1	+2	+7	2.5
2009	23	AAA	Colorado Springs Sky Sox	—	223	192	65	12	7	10	22	32	5	6	3	339	420	630	1.050	292	364	14	10	445	141	—	—	—	—	—	—
2010	24	MLB	Colorado Rockies	—	636	587	197	34	9	34	40	135	2	26	8	336	380	598	978	262	384	21	6	420	146	+35	+2	-5	-7	+14	4.0
2011	25	MLB	Colorado Rockies	—	542	481	142	27	3	26	48	105	7	20	5	295	368	526	894	231	326	19	9	388	128	+18	+2	-3	-6	+12	2.3
2012	26	MLB	Colorado Rockies	—	579	518	157	31	5	22	56	115	2	20	5	303	373	510	883	207	352	20	10	387	126	+18	+2	-6	-6	+13	2.0
2013	27	MLB	Colorado Rockies	—	436	391	118	23	6	26	41	118	1	21	3	302	370	591	960	289	368	27	9	412	146	+24	+3	+1	-5	+9	3.3
2014	28	MLB	Colorado Rockies	—	281	260	62	15	1	11	19	70	1	3	0	238	293	431	724	192	283	25	7	318	87	-4	+1	-5	-3	+6	-0.6
2014	28	AAA	Colorado Springs Sky Sox	—	15	13	5	1	1	2	1	3	1	0	0	385	467	1.077	1.544	692	375	20	7	627	188	—	—	—	—	—	—
2015	29	MLB	Colorado Rockies	—	608	554	150	25	2	40	46	133	1	2	0	271	328	540	867	269	284	22	8	373	119	+14	+0	-5	-7	+13	1.6
2016	30	MLB	Colorado Rockies	—	632	584	174	42	2	25	46	129	1	2	2	298	350	505	855	207	346	20	7	375	124	+18	-0	-4	-7	+14	2.1
2017	31	MLB	Colorado Rockies	—	534	470	123	34	0	14	56	119	2	3	0	262	343	423	766	162	318	22	10	339	106	+4	+1	-4	-6	+12	0.6
2018	32	MLB	Colorado Rockies	—	504	463	128	32	4	16	37	113	1	5	2	276	331	467	798	190	332	22	7	350	107	+4	+0	+0	-5	+11	1.0
2019	33	MLB	Chicago Cubs	—	166	145	29	3	0	3	18	52	1	0	3	200	293	283	575	83	283	31	11	266	64	-7	-1	-0	-2	+4	-0.7
2019	33	AAA	Iowa Cubs	—	38	31	10	1	0	2	6	6	0	0	0	323	432	548	981	226	348	16	16	420	105	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	5551	5033	1432	302	40	234	448	1240	22	122	33	285	346	500	846	215	333	22	8	368	135	+232	+11	-18	-50	+120	30.2
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2005	19	A MLE	South Bend Silver Hawks	—	569	535	144	24	6	15	28	117	5	7	3	269	312	421	732	151	315	21	5	316	100	—	—	—	—	—	—
2006	20	AA MLE	Tennessee Smokies	—	69	63	13	6	0	2	5	15	0	1	0	206	265	397	662	190	234	22	7	274	72	—	—	—	—	—	—
2006	20	A+ MLE	Lancaster JetHawks	—	452	416	104	28	3	19	17	139	10	15	8	250	296	469	764	219	308	31	4	329	109	—	—	—	—	—	—
2007	21	AAA MLE	Tucson Sidewinders	—	48	44	12	4	0	1	4	8	0	1	0	273	333	432	765	159	309	17	8	330	109	—	—	—	—	—	—
2007	21	AA MLE	Mobile BayBears	—	499	469	122	31	3	13	21	126	1	9	5	260	293	422	715	162	318	25	4	308	95	—	—	—	—	—	—
2008	22	MLB MLE	Oakland Athletics	—	316	303	73	22	1	4	12	81	0	4	1	241	270	360	630	119	318	26	4	279	75	-9	+0	+11	+2	+7	1.1
2008	22	AAA MLE	Sacramento River Cats	—	189	179	45	8	1	3	10	45	0	1	1	251	291	358	649	106	321	24	5	288	81	—	—	—	—	—	—
2009	23	MLB MLE	Colorado Rockies	—	317	281	79	14	7	13	25	70	3	16	4	281	346	520	866	238	333	22	8	368	135	+13	+2	+1	+2	+7	2.5
2009	23	AAA MLE	Colorado Springs Sky Sox	—	223	199	58	10	6	8	15	41	5	6	3	291	356	523	879	231	328	18	7	377	141	—	—	—	—	—	—
2010	24	MLB MLE	Colorado Rockies	—	636	595	185	33	6	30	32	135	2	26	8	311	348	538	886	227	384	21	5	385	146	+35	+2	-5	-7	+14	4.0
2011	25	MLB MLE	Colorado Rockies	—	542	489	134	26	2	23	40	105	7	20	5	274	338	476	814	202	326	19	7	358	128	+18	+2	-3	-6	+12	2.3
2012	26	MLB MLE	Colorado Rockies	—	579	529	149	30	3	20	45	115	2	20	5	282	340	463	803	181	352	20	8	354	126	+18	+2	-6	-6	+13	2.0
2013	27	MLB MLE	Colorado Rockies	—	436	393	110	22	4	23	39	118	1	21	3	280	346	532	878	252	368	27	9	383	146	+24	+3	+1	-5	+9	3.3
2014	28	MLB MLE	Colorado Rockies	—	281	262	59	14	1	10	17	70	1	3	0	225	275	401	676	176	283	25	6	297	87	-4	+1	-5	-3	+6	-0.6
2014	28	AAA MLE	Colorado Springs Sky Sox	—	15	13	4	1	1	1	1	4	1	0	0	308	400	769	1.169	462	279	27	7	446	188	—	—	—	—	—	—
2015	29	MLB MLE	Colorado Rockies	—	608	560	140	24	1	35	40	133	1	2	0	250	301	484	785	234	284	22	7	344	119	+14	+0	-5	-7	+13	1.6
2016	30	MLB MLE	Colorado Rockies	—	632	590	166	41	1	22	40	129	1	2	2	281	328	466	794	185	346	20	6	351	124	+18	-0	-4	-7	+14	2.1
2017	31	MLB MLE	Colorado Rockies	—	534	473	118	33	0	12	53	119	2	3	0	249	328	395	723	146	318	22	10	324	106	+4	+1	-4	-6	+12	0.6
2018	32	MLB MLE	Colorado Rockies	—	504	467	122	31	3	14	33	113	1	5	2	261	311	430	742	169	332	22	7	327	107	+4	+0	+0	-5	+11	1.0
2019	33	MLB MLE	Chicago Cubs	—	166	146	29	3	0	3	17	52	1	0	3	199	287	281	567	82	283	31	10	263	64	-7	-1	-0	-2	+4	-0.7
2019	33	AAA MLE	Iowa Cubs	—	38	33	8	1	0	1	4	8	0	0	0	242	324	364	688	121	285	21	11	324	105	—	—	—	—	—	—
2005	19	A MLE	South Bend Silver Hawks	—	569	535	144	24	6	15	28	117	5	7	3	269	312	421	732	151	319	21	5	316	100	—	—	—	—	—	—
2005	19	A RAW	South Bend Silver Hawks	—	569	515	158	28	6	18	48	86	5	7	3	307	371	489	861	183	340	15	8	380	100	—	—	—	—	—	—
2006	20	A+ MLE	2 teams	—	521	479	118	34	3	21	22	154	10	16	8	246	294	461	755	215	310	30	4	322	104	—	—	—	—	—	—
2006	20	A+ RAW	2 teams	—	521	464	134	41	4	23	37	116	10	16	8	289	354	543	897	254	332	22	7	384	104	—	—	—	—	—	—
2007	21	AA MLE	2 teams	—	547	513	135	36	3	14	25	133	1	10	5	263	299	427	726	164	325	24	5	310	96	—	—	—	—	—	—
2007	21	AA RAW	2 teams	—	547	500	144	38	3	17	38	109	1	10	5	288	340	478	818	190	334	20	7	355	96	—	—	—	—	—	—
2008	22	MLB MLE	2 teams	—	505	482	118	30	2	7	22	126	0	5	2	245	278	359	637	114	318	25	4	282	77	-14	+0	+11	+2	+11	1.1
2008	22	MLB RAW	2 teams	—	505	475	122	31	2	8	29	116	0	5	2	257	300	381	681	124	325	23	6	303	77	-14	+0	+11	+2	+11	1.1
2009	23	MLB MLE	2 teams	—	540	480	137	24	13	21	40	111	8	22	7	285	350	521	871	235	330	21	7	372	138	+24	+2	+1	+2	+12	4.1
2009	23	MLB RAW	2 teams	—	540	470	144	26	14	23	50	102	8	22	7	306	383	568	951	262	347	19	9	404	138	+24	+2	+1	+2	+12	4.1
2010	24	MLB MLE	Colorado Rockies	—	636	595	185	33	6	30	32	135	2	26	8	311	348	538	886	227	355	21	5	385	146	+35	+2	-5	-7	+14	4.0
2010	24	MLB RAW	Colorado Rockies	—	636	587	197	34	9	34	40	135	2	26	8	336	380	598	978	262	384	21	6	420	146	+35	+2	-5	-7	+14	4.0
2011	25	MLB MLE	Colorado Rockies	—	542	489	134	26	2	23	40	105	7	20	5	274	338	476	814	202	302	19	7	358	128	+18	+2	-3	-6	+12	2.3
2011	25	MLB RAW	Colorado Rockies	—	542	481	142	27	3	26	48	105	7	20	5	295	368	526	894	231	326	19	9	388	128	+18	+2	-3	-6	+12	2.3
2012	26	MLB MLE	Colorado Rockies	—	579	529	149	30	3	20	45	115	2	20	5	282	340	463	803	181	325	20	8	354	126	+18	+2	-6	-6	+13	2.0
2012	26	MLB RAW	Colorado Rockies	—	579	518	157	31	5	22	56	115	2	20	5	303	373	510	883	207	352	20	10	387	126	+18	+2	-6	-6	+13	2.0
2013	27	MLB MLE	Colorado Rockies	—	436	393	110	22	4	23	39	118	1	21	3	280	346	532	878	252	341	27	9	383	146	+24	+3	+1	-5	+9	3.3
2013	27	MLB RAW	Colorado Rockies	—	436	391	118	23	6	26	41	118	1	21	3	302	370	591	960	289	368	27	9	412	146	+24	+3	+1	-5	+9	3.3
2014	28	MLB MLE	2 teams	—	296	275	62	15	1	11	18	74	2	3	0	225	278	407	685	182	267	25	6	305	93	-3	+1	-5	-3	+6	-0.4
2014	28	MLB RAW	2 teams	—	296	273	67	16	2	13	20	73	2	3	0	245	302	462	763	216	287	25	7	334	93	-3	+1	-5	-3	+6	-0.4
2015	29	MLB MLE	Colorado Rockies	—	608	560	140	24	1	35	40	133	1	2	0	250	301	484	785	234	264	22	7	344	119	+14	+0	-5	-7	+13	1.6
2015	29	MLB RAW	Colorado Rockies	—	608	554	150	25	2	40	46	133	1	2	0	271	328	540	867	269	284	22	8	373	119	+14	+0	-5	-7	+13	1.6
2016	30	MLB MLE	Colorado Rockies	—	632	590	166	41	1	22	40	129	1	2	2	281	328	466	794	185	327	20	6	351	124	+18	-0	-4	-7	+14	2.1
2016	30	MLB RAW	Colorado Rockies	—	632	584	174	42	2	25	46	129	1	2	2	298	350	505	855	207	346	20	7	375	124	+18	-0	-4	-7	+14	2.1
2017	31	MLB MLE	Colorado Rockies	—	534	473	118	33	0	12	53	119	2	3	0	249	328	395	723	146	305	22	10	324	106	+4	+1	-4	-6	+12	0.6
2017	31	MLB RAW	Colorado Rockies	—	534	470	123	34	0	14	56	119	2	3	0	262	343	423	766	162	318	22	10	339	106	+4	+1	-4	-6	+12	0.6
2018	32	MLB MLE	Colorado Rockies	—	504	467	122	31	3	14	33	113	1	5	2	261	311	430	742	169	315	22	7	327	107	+4	+0	+0	-5	+11	1.0
2018	32	MLB RAW	Colorado Rockies	—	504	463	128	32	4	16	37	113	1	5	2	276	331	467	798	190	332	22	7	350	107	+4	+0	+0	-5	+11	1.0
2019	33	MLB MLE	2 teams	—	204	179	38	4	0	5	21	60	1	0	3	212	299	318	617	106	284	29	10	274	72	-7	-1	-0	-2	+4	-0.6
2019	33	MLB RAW	2 teams	—	204	176	39	4	0	5	24	58	1	0	3	222	318	330	648	108	296	28	12	295	72	-7	-1	-0	-2	+4	-0.6
2005	19	A MLE	South Bend Silver Hawks	—	569	531	144	24	6	15	28	117	5	7	3	271	312	424	735	153	315	21	5	316	100	—	—	—	—	—	—
2006	20	A+ MLE	2 teams	—	521	484	118	34	3	21	22	154	10	16	8	244	294	457	750	213	298	30	4	322	104	—	—	—	—	—	—
2007	21	AA MLE	2 teams	—	547	516	135	36	3	14	25	133	1	10	5	262	299	424	723	163	317	24	5	310	96	—	—	—	—	—	—
2008	22	MLB MLE	2 teams	—	505	478	118	30	2	7	22	126	0	5	2	247	278	362	640	115	319	25	4	282	77	—	—	—	—	—	—
2009	23	MLB MLE	2 teams	—	540	487	137	24	13	21	40	111	8	22	7	281	350	513	864	232	331	21	7	372	138	—	—	—	—	—	—
2010	24	MLB MLE	Colorado Rockies	—	636	597	185	33	6	30	32	135	2	26	8	310	348	536	884	226	384	21	5	385	146	—	—	—	—	—	—
2011	25	MLB MLE	Colorado Rockies	—	542	490	134	26	2	23	40	105	7	20	5	273	338	476	813	202	326	19	7	358	128	—	—	—	—	—	—
2012	26	MLB MLE	Colorado Rockies	—	579	527	149	30	3	20	45	115	2	20	5	283	340	465	805	182	352	20	8	354	126	—	—	—	—	—	—
2013	27	MLB MLE	Colorado Rockies	—	436	393	110	22	4	23	39	118	1	21	3	280	346	532	878	252	368	27	9	383	146	—	—	—	—	—	—
2014	28	MLB MLE	2 teams	—	296	274	62	15	1	11	18	74	2	3	0	226	278	409	687	182	283	25	6	305	93	—	—	—	—	—	—
2015	29	MLB MLE	Colorado Rockies	—	608	562	140	24	1	35	40	133	1	2	0	249	301	482	783	233	284	22	7	344	119	—	—	—	—	—	—
2016	30	MLB MLE	Colorado Rockies	—	632	586	166	41	1	22	40	129	1	2	2	283	328	469	797	186	346	20	6	351	124	—	—	—	—	—	—
2017	31	MLB MLE	Colorado Rockies	—	534	474	118	33	0	12	53	119	2	3	0	249	328	395	722	146	318	22	10	324	106	—	—	—	—	—	—
2018	32	MLB MLE	Colorado Rockies	—	504	465	122	31	3	14	33	113	1	5	2	262	311	432	744	170	332	22	7	327	107	—	—	—	—	—	—
2019	33	MLB MLE	2 teams	—	204	180	38	4	0	5	21	60	1	0	3	211	299	317	615	106	283	29	10	274	72	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	5551	5033	1432	302	40	234	448	1240	22	122	33	285	346	500	846	215	333	22	8	368	115	+232	+11	-18	-50	+120	30.2
/ 162G	—	A+C		—	650	589	167	35	5	27	52	145	3	14	4	284	345	497	842	214	332	22	8	368	115	+27	+1	-2	-6	+14	3.5
Career	—	MLE		—	7653	7039	1876	407	48	273	498	1742	44	162	53	267	319	454	773	188	315	23	7	338	115	+232	+11	-18	-50	+120	30.2
/ 162G	—	MLE		—	650	598	160	35	4	23	42	148	4	14	5	268	320	455	775	187	317	23	6	338	115	+27	+1	-2	-6	+14	3.5

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.

2019 AAAIowa Cubs · 38 PAwOBA .409 → .324 (−85)K% 15.8% → 19.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.79%	÷1.025	×1.290	—	—	19.87%
BB% (unintentional) /PA	15.79%	÷0.968	×0.710	—	×0.940	10.88%
HBP% /PA	0.00%	—	×0.980	—	×0.940	0.00%
Singles /BIP	28.00%	÷0.993	×0.900	—	×0.940	23.86%
Doubles /BIP	4.00%	÷1.014	×0.810	—	×0.940	3.00%
Triples /BIP	0.00%	÷1.029	×0.810	—	×0.940	0.00%
Home runs /BIP	8.00%	÷1.050	×0.780	—	×0.940	5.58%

Factors used: league row PCL. Park (home-season share, regressed): HR 110, 1B 99, 2B 103, 3B 106, K 105, BB 94 — applied at half strength. Age: age 34 vs a level average of 27.2 → −6.0% on BB/HBP/hit rates (6.8 yr older than average).

Result: wOBA .409 → .324; ISO .226 → .168; BABIP .348 → .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).

2014 AAAColorado Springs Sky Sox · 15 PAwOBA .608 → .446 (−161)K% 20.0% → 27.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.00%	÷0.934	×1.290	—	—	27.62%
BB% (unintentional) /PA	6.67%	÷1.055	×0.710	—	×0.982	4.41%
HBP% /PA	6.67%	—	×0.980	—	×0.982	6.42%
Singles /BIP	10.00%	÷1.005	×0.900	—	×0.982	8.79%
Doubles /BIP	10.00%	÷1.028	×0.810	—	×0.982	7.74%
Triples /BIP	10.00%	÷1.150	×0.810	—	×0.982	6.92%
Home runs /BIP	20.00%	÷0.964	×0.780	—	×0.982	15.89%

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).

Result: wOBA .608 → .446; ISO .692 → .492; BABIP .375 → .279. 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 AAAColorado Springs Sky Sox · 223 PAwOBA .432 → .377 (−55)K% 14.3% → 18.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.35%	÷1.000	×1.290	—	—	18.51%
BB% (unintentional) /PA	8.97%	÷1.000	×0.710	—	×1.048	6.67%
HBP% /PA	2.24%	—	×0.980	—	×1.048	2.30%
Singles /BIP	22.50%	÷1.000	×0.900	×1.001	×1.048	21.25%
Doubles /BIP	7.50%	÷1.000	×0.810	×1.001	×1.048	6.38%
Triples /BIP	4.38%	÷1.000	×0.810	×1.001	×1.048	3.72%
Home runs /BIP	6.25%	÷1.000	×0.780	—	×1.048	5.11%

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 ×1.001.

Result: wOBA .432 → .377; ISO .292 → .245; BABIP .364 → .328. 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 AAASacramento River Cats · 189 PAwOBA .326 → .288 (−38)K% 18.5% → 23.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.52%	÷1.000	×1.290	—	—	23.89%
BB% (unintentional) /PA	6.88%	÷1.000	×0.710	—	×1.050	5.13%
HBP% /PA	0.00%	—	×0.980	—	×1.050	0.00%
Singles /BIP	25.36%	÷1.000	×0.900	×1.041	×1.050	24.95%
Doubles /BIP	6.52%	÷1.000	×0.810	×1.041	×1.050	5.77%
Triples /BIP	0.72%	÷1.000	×0.810	×1.041	×1.050	0.64%
Home runs /BIP	2.90%	÷1.000	×0.780	—	×1.050	2.37%

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 ×1.041.

Result: wOBA .326 → .288; ISO .133 → .110; BABIP .336 → .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 AAMobile BayBears · 499 PAwOBA .344 → .308 (−36)K% 20.6% → 25.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.64%	÷1.000	×1.220	—	—	25.18%
BB% (unintentional) /PA	6.01%	÷1.000	×0.680	—	×1.042	4.26%
HBP% /PA	0.20%	—	×0.840	—	×1.042	0.18%
Singles /BIP	22.25%	÷1.000	×0.920	×1.007	×1.042	21.49%
Doubles /BIP	9.30%	÷1.000	×0.910	×1.007	×1.042	8.88%
Triples /BIP	0.85%	÷1.000	×0.880	×1.007	×1.042	0.78%
Home runs /BIP	4.51%	÷1.000	×0.800	—	×1.042	3.76%

Factors used: league row SL. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 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 ×1.007.

Result: wOBA .344 → .308; ISO .190 → .166; BABIP .333 → .318. 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 AAATucson Sidewinders · 48 PAwOBA .380 → .330 (−49)K% 12.5% → 16.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.50%	÷1.000	×1.290	—	—	16.12%
BB% (unintentional) /PA	10.42%	÷1.000	×0.710	—	×1.050	7.77%
HBP% /PA	0.00%	—	×0.980	—	×1.050	0.00%
Singles /BIP	19.44%	÷1.000	×0.900	—	×1.050	18.38%
Doubles /BIP	13.89%	÷1.000	×0.810	—	×1.050	11.81%
Triples /BIP	0.00%	÷1.000	×0.810	—	×1.050	0.00%
Home runs /BIP	2.78%	÷1.000	×0.780	—	×1.050	2.28%

Factors used: league row PCL. 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 27.2 → +5.0% on BB/HBP/hit rates (5.2 yr younger than average).

Result: wOBA .380 → .330; ISO .190 → .162; BABIP .343 → .309. 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 · 452 PAwOBA .387 → .329 (−58)K% 23.0% → 30.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.01%	÷1.000	×1.340	—	—	30.83%
BB% (unintentional) /PA	5.09%	÷1.000	×0.710	—	×1.027	3.71%
HBP% /PA	2.21%	—	×0.790	—	×1.027	1.79%
Singles /BIP	20.40%	÷1.000	×0.910	×0.993	×1.027	18.93%
Doubles /BIP	11.71%	÷1.000	×0.820	×0.993	×1.027	9.79%
Triples /BIP	1.34%	÷1.000	×0.760	×0.993	×1.027	1.04%
Home runs /BIP	7.02%	÷1.000	×0.920	—	×1.027	6.64%

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 ×0.993.

Result: wOBA .387 → .329; ISO .263 → .227; BABIP .348 → .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).

2006 AATennessee Smokies · 69 PAwOBA .300 → .274 (−26)K% 17.4% → 21.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.39%	÷1.000	×1.220	—	—	21.22%
BB% (unintentional) /PA	10.14%	÷1.000	×0.680	—	×1.050	7.24%
HBP% /PA	0.00%	—	×0.840	—	×1.050	0.00%
Singles /BIP	10.20%	÷1.000	×0.920	×1.050	×1.050	10.35%
Doubles /BIP	12.24%	÷1.000	×0.910	×1.050	×1.050	12.29%
Triples /BIP	0.00%	÷1.000	×0.880	×1.050	×1.050	0.00%
Home runs /BIP	4.08%	÷1.000	×0.800	—	×1.050	3.43%

Factors used: league row SL. 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 24.8 → +5.0% on BB/HBP/hit rates (3.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .300 → .274; ISO .197 → .183; BABIP .234 → .234. 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).