Chris Dominguez

PosLF

B/TR/R

Born1986-11-22

Age (2027)40

No MLB projection yet. Career stats below are historical.

Overview

AAALAST SEASON 2019

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2017	30	AAACHC	381	.284/.324/.443	11	12	67	—	.232/.268/.356
2018	31	AAASyracuse Chie…	304	.243/.299/.406	9	7	51	—	.199/.242/.319
2019	32	AAACOL	24	.304/.333/.522	1	0	65	—	.217/.250/.391

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)
2009	22	ROK	AZL Giants	—	40	36	11	2	0	2	3	9	1	1	0	306	375	528	903	222	360	22	8	397	63	—	—	—	—	—	—
2010	23	A	Augusta GreenJackets	—	608	559	152	32	4	21	35	133	11	14	7	272	327	456	783	184	321	22	6	345	79	—	—	—	—	—	—
2010	23	INTL	Leones de Ponce	—	32	28	10	2	1	0	4	5	0	1	0	357	438	500	938	143	435	16	12	416	168	—	—	—	—	—	—
2011	24	AA	Richmond Flying Squirrels	—	313	295	72	22	2	7	9	78	4	1	5	244	276	403	679	159	302	25	3	295	46	—	—	—	—	—	—
2011	24	A+	San Jose Giants	—	279	258	75	10	1	11	18	73	1	8	2	291	339	465	804	174	364	26	6	353	78	—	—	—	—	—	—
2012	25	AAA	Fresno Grizzlies	—	178	174	43	11	0	3	2	47	2	1	2	247	264	362	626	115	323	26	1	278	35	—	—	—	—	—	—
2012	25	AA	Richmond Flying Squirrels	—	197	188	42	9	0	2	7	50	1	3	0	223	255	303	558	80	292	25	4	251	23	—	—	—	—	—	—
2012	25	INTL	Scottsdale Scorpions	—	44	41	13	2	0	3	2	17	1	1	0	317	364	585	949	268	476	39	5	413	166	—	—	—	—	—	—
2013	26	AAA	Fresno Grizzlies	—	497	466	137	24	5	15	23	112	6	4	5	294	335	464	799	170	358	23	5	352	77	—	—	—	—	—	—
2014	27	MLB	San Francisco Giants	—	18	17	1	0	0	1	1	4	0	0	0	59	111	235	346	176		22	6	154	-29	-3	+0	-1	-7	+0	-1.0
2014	27	AAA	Fresno Grizzlies	—	528	496	135	23	3	21	22	142	4	20	10	272	308	458	766	185	336	27	4	333	55	—	—	—	—	—	—
2014	27	INTL	Navegantes del Magallanes	—	82	78	24	5	0	0	2	13	2	0	0	308	341	372	713	64	369	16	2	323	105	—	—	—	—	—	—
2015	28	MLB	Cincinnati Reds	—	23	23	6	1	1	1	0	12	0	0	0	261	261	522	783	261	500	52	0	335	108	+0	+0	-0	-4	+0	-0.3
2015	28	AAA	Louisville Bats	—	321	296	66	19	0	9	16	92	6	5	3	223	277	378	655	155	289	29	5	290	44	—	—	—	—	—	—
2016	29	AAA	Pawtucket Red Sox	—	298	278	67	12	2	13	11	70	4	7	3	241	280	439	719	198	270	23	4	310	65	—	—	—	—	—	—
2017	30	AAA	Iowa Cubs	—	381	359	102	22	1	11	11	102	10	12	2	284	324	443	767	159	368	27	3	339	67	—	—	—	—	—	—
2018	31	AAA	Syracuse Chiefs	—	304	276	67	16	1	9	16	83	6	7	4	243	299	406	704	163	305	27	5	308	51	—	—	—	—	—	—
2019	32	AAA	Fresno Grizzlies	—	24	23	7	2	0	1	1	6	0	0	0	304	333	522	855	217	375	25	4	374	65	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	41	40	7	1	1	2	1	16	0	0	0	175	195	400	595	225	227	39	2	255	59	-2	+0	-1	-10	+1	-1.3
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2009	22	ROK MLE	AZL Giants	—	40	37	7	1	0	1	2	13	1	1	0	189	250	297	547	108	272	32	5	262	63	—	—	—	—	—	—
2010	23	A MLE	Augusta GreenJackets	—	608	575	136	27	4	18	19	165	11	14	7	237	274	391	666	155	293	27	3	285	79	—	—	—	—	—	—
2011	24	AA MLE	Richmond Flying Squirrels	—	313	298	61	18	2	5	6	98	4	1	5	205	231	329	559	124	269	31	2	236	46	—	—	—	—	—	—
2011	24	A+ MLE	San Jose Giants	—	279	263	63	8	1	9	13	100	1	8	2	240	278	380	658	141	337	36	5	283	78	—	—	—	—	—	—
2012	25	AAA MLE	Fresno Grizzlies	—	178	175	35	9	0	2	1	64	2	1	2	200	213	286	499	86	301	36	1	220	35	—	—	—	—	—	—
2012	25	AA MLE	Richmond Flying Squirrels	—	197	190	35	7	0	1	5	61	1	3	0	184	209	237	446	53	264	31	3	202	23	—	—	—	—	—	—
2013	26	AAA MLE	Fresno Grizzlies	—	497	473	115	19	4	11	16	146	6	4	5	243	277	370	647	127	326	29	3	282	77	—	—	—	—	—	—
2014	27	MLB MLE	San Francisco Giants	—	18	18	1	0	0	1	0	4	0	0	0	56	56	222	278	167		22	0	125	-29	-3	+0	-1	-7	+0	-1.0
2014	27	AAA MLE	Fresno Grizzlies	—	528	503	105	17	2	14	15	184	4	20	10	209	238	334	572	125	289	35	3	250	55	—	—	—	—	—	—
2015	28	MLB MLE	Cincinnati Reds	—	23	23	6	1	1	1	0	12	0	0	0	261	261	522	783	261	500	52	0	327	108	+0	+0	-0	-4	+0	-0.3
2015	28	AAA MLE	Louisville Bats	—	321	302	57	16	0	7	10	111	6	5	3	189	230	311	541	123	262	35	3	233	44	—	—	—	—	—	—
2016	29	AAA MLE	Pawtucket Red Sox	—	298	282	60	10	2	10	7	86	4	7	3	213	242	369	611	156	255	29	2	265	65	—	—	—	—	—	—
2017	30	AAA MLE	Iowa Cubs	—	381	362	84	16	1	9	8	122	10	12	2	232	268	356	625	124	319	32	2	267	67	—	—	—	—	—	—
2018	31	AAA MLE	Syracuse Chiefs	—	304	282	56	14	1	6	10	95	6	7	4	199	242	319	561	121	258	31	3	244	51	—	—	—	—	—	—
2019	32	AAA MLE	Fresno Grizzlies	—	24	23	5	1	0	1	1	8	0	0	0	217	250	391	641	174	314	33	4	265	65	—	—	—	—	—	—
2009	22	ROK MLE	AZL Giants	—	40	37	7	1	0	1	2	13	1	1	0	189	250	297	547	108	261	32	5	262	63	—	—	—	—	—	—
2009	22	ROK RAW	AZL Giants	—	40	36	11	2	0	2	3	9	1	1	0	306	375	528	903	222	360	22	8	397	63	—	—	—	—	—	—
2010	23	A MLE	2 teams	—	640	606	142	28	4	19	20	174	11	15	7	234	272	388	659	153	296	27	3	285	79	—	—	—	—	—	—
2010	23	A RAW	2 teams	—	640	587	162	34	5	21	39	138	11	15	7	276	333	458	791	182	327	22	6	348	79	—	—	—	—	—	—
2011	24	AA MLE	2 teams	—	592	561	123	26	2	14	19	198	5	9	7	219	251	348	599	128	306	33	3	258	61	—	—	—	—	—	—
2011	24	AA RAW	2 teams	—	592	553	147	32	3	18	27	151	5	9	7	266	306	432	738	166	330	26	5	323	61	—	—	—	—	—	—
2012	25	AA MLE	3 teams	—	419	407	79	18	0	4	7	140	4	5	2	194	215	268	483	74	284	33	2	211	29	—	—	—	—	—	—
2012	25	AA RAW	3 teams	—	419	403	98	22	0	8	11	114	4	5	2	243	270	357	628	114	319	27	3	279	29	—	—	—	—	—	—
2013	26	AAA MLE	Fresno Grizzlies	—	497	473	115	19	4	11	16	146	6	4	5	243	277	370	647	127	327	29	3	282	77	—	—	—	—	—	—
2013	26	AAA RAW	Fresno Grizzlies	—	497	466	137	24	5	15	23	112	6	4	5	294	335	464	799	170	358	23	5	352	77	—	—	—	—	—	—
2014	27	AAA MLE	3 teams	—	628	598	123	19	3	18	18	217	6	20	10	206	236	338	574	132	285	35	3	246	53	—	—	—	—	—	—
2014	27	AAA RAW	3 teams	—	628	591	160	28	3	22	25	159	6	20	10	271	307	440	747	169	332	25	4	327	53	—	—	—	—	—	—
2015	28	AAA MLE	2 teams	—	344	325	63	17	1	8	10	123	6	5	3	194	232	326	558	132	281	36	3	239	48	—	—	—	—	—	—
2015	28	AAA RAW	2 teams	—	344	319	72	20	1	10	16	104	6	5	3	226	276	389	664	163	300	30	5	293	48	—	—	—	—	—	—
2016	29	AAA MLE	Pawtucket Red Sox	—	298	282	60	10	2	10	7	86	4	7	3	213	242	369	611	156	262	29	2	265	65	—	—	—	—	—	—
2016	29	AAA RAW	Pawtucket Red Sox	—	298	278	67	12	2	13	11	70	4	7	3	241	280	439	719	198	270	23	4	310	65	—	—	—	—	—	—
2017	30	AAA MLE	Iowa Cubs	—	381	362	84	16	1	9	8	122	10	12	2	232	268	356	625	124	323	32	2	267	67	—	—	—	—	—	—
2017	30	AAA RAW	Iowa Cubs	—	381	359	102	22	1	11	11	102	10	12	2	284	324	443	767	159	368	27	3	339	67	—	—	—	—	—	—
2018	31	AAA MLE	Syracuse Chiefs	—	304	282	56	14	1	6	10	95	6	7	4	199	242	319	561	121	267	31	3	244	51	—	—	—	—	—	—
2018	31	AAA RAW	Syracuse Chiefs	—	304	276	67	16	1	9	16	83	6	7	4	243	299	406	704	163	305	27	5	308	51	—	—	—	—	—	—
2019	32	AAA MLE	Fresno Grizzlies	—	24	23	5	1	0	1	1	8	0	0	0	217	250	391	641	174	286	33	4	265	65	—	—	—	—	—	—
2019	32	AAA RAW	Fresno Grizzlies	—	24	23	7	2	0	1	1	6	0	0	0	304	333	522	855	217	375	25	4	374	65	—	—	—	—	—	—
2009	22	ROK MLE	AZL Giants	—	40	37	7	1	0	1	2	13	1	1	0	189	250	297	547	108	272	32	5	262	63	—	—	—	—	—	—
2010	23	A MLE	2 teams	—	640	604	142	28	4	19	20	174	11	15	7	235	272	389	661	154	293	27	3	285	79	—	—	—	—	—	—
2011	24	AA MLE	2 teams	—	592	563	123	26	2	14	19	198	5	9	7	218	251	346	598	128	301	33	3	258	61	—	—	—	—	—	—
2012	25	AA MLE	3 teams	—	419	405	79	18	0	4	7	140	4	5	2	195	215	269	484	74	282	33	2	211	29	—	—	—	—	—	—
2013	26	AAA MLE	Fresno Grizzlies	—	497	472	115	19	4	11	16	146	6	4	5	244	277	371	648	127	326	29	3	282	77	—	—	—	—	—	—
2014	27	AAA MLE	3 teams	—	628	599	123	19	3	18	18	217	6	20	10	205	236	337	574	132	279	35	3	246	53	—	—	—	—	—	—
2015	28	AAA MLE	2 teams	—	344	325	63	17	1	8	10	123	6	5	3	194	232	326	558	132	278	36	3	239	48	—	—	—	—	—	—
2016	29	AAA MLE	Pawtucket Red Sox	—	298	285	60	10	2	10	7	86	4	7	3	211	242	365	607	154	255	29	2	265	65	—	—	—	—	—	—
2017	30	AAA MLE	Iowa Cubs	—	381	360	84	16	1	9	8	122	10	12	2	233	268	358	627	125	319	32	2	267	67	—	—	—	—	—	—
2018	31	AAA MLE	Syracuse Chiefs	—	304	285	56	14	1	6	10	95	6	7	4	196	242	316	557	119	258	31	3	244	51	—	—	—	—	—	—
2019	32	AAA MLE	Fresno Grizzlies	—	24	23	5	1	0	1	1	8	0	0	0	217	250	391	641	174	314	33	4	265	65	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	41	40	7	1	1	2	1	16	0	0	0	175	195	400	595	225	227	39	2	255	60	-2	+0	-1	-10	+1	-1.3
/ 162G	—	A+C		—	650	634	112	16	16	32	16	254	0	0	0	177	197	404	601	227	230	39	2	255	60	-32	+0	-22	-165	+14	-20.9
Career	—	MLE		—	4167	3956	857	169	18	101	118	1322	59	85	43	217	250	345	595	128	295	32	3	257	60	-2	+0	-1	-10	+1	-1.3
/ 162G	—	MLE		—	650	617	134	26	3	16	18	206	9	13	7	217	250	347	596	130	295	32	3	257	60	-32	+0	-22	-165	+14	-20.9

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 AAAFresno Grizzlies · 24 PAwOBA .363 → .265 (−98)K% 25.0% → 33.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.00%	÷0.953	×1.290	—	—	33.84%
BB% (unintentional) /PA	4.17%	÷0.990	×0.710	—	×0.942	2.81%
HBP% /PA	0.00%	—	×0.980	—	×0.942	0.00%
Singles /BIP	23.53%	÷0.959	×0.900	—	×0.942	20.79%
Doubles /BIP	11.76%	÷0.976	×0.810	—	×0.942	9.20%
Triples /BIP	0.00%	÷1.140	×0.810	—	×0.942	0.00%
Home runs /BIP	5.88%	÷0.962	×0.780	—	×0.942	4.49%

Factors used: league row PCL. Park (home-season share, regressed): HR 92, 1B 92, 2B 95, 3B 128, K 91, BB 98 — applied at half strength. Age: age 33 vs a level average of 27.2 → −5.8% on BB/HBP/hit rates (5.8 yr older than average).

Result: wOBA .363 → .265; ISO .217 → .150; BABIP .375 → .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).

2018 AAASyracuse Chiefs · 304 PAwOBA .304 → .244 (−60)K% 27.3% → 31.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	27.30%	÷1.044	×1.200	—	—	31.38%
BB% (unintentional) /PA	4.93%	÷0.956	×0.690	—	×0.952	3.39%
HBP% /PA	1.97%	—	×0.940	—	×0.952	1.77%
Singles /BIP	21.24%	÷1.044	×0.930	×1.009	×0.952	18.18%
Doubles /BIP	8.29%	÷0.933	×0.830	×1.009	×0.952	7.09%
Triples /BIP	0.52%	÷0.900	×0.970	×1.009	×0.952	0.54%
Home runs /BIP	4.66%	÷1.205	×0.840	—	×0.952	3.10%

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 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 ×1.009.

Result: wOBA .304 → .244; ISO .163 → .122; BABIP .305 → .258. 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).

2017 AAAIowa Cubs · 381 PAwOBA .331 → .267 (−63)K% 26.8% → 31.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	26.77%	÷1.083	×1.290	—	—	31.89%
BB% (unintentional) /PA	2.89%	÷0.965	×0.710	—	×0.962	2.04%
HBP% /PA	2.62%	—	×0.980	—	×0.962	2.47%
Singles /BIP	26.46%	÷0.991	×0.900	×1.039	×0.962	24.00%
Doubles /BIP	8.56%	÷1.056	×0.810	×1.039	×0.962	6.56%
Triples /BIP	0.39%	÷1.042	×0.810	×1.039	×0.962	0.30%
Home runs /BIP	4.28%	÷0.899	×0.780	—	×0.962	3.57%

Factors used: league row PCL. Park (home-season share, regressed): HR 80, 1B 98, 2B 111, 3B 108, K 117, BB 93 — 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 ×1.039.

Result: wOBA .331 → .267; ISO .159 → .121; BABIP .368 → .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).

2016 AAAPawtucket Red Sox · 298 PAwOBA .305 → .265 (−40)K% 23.5% → 28.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.49%	÷0.979	×1.200	—	—	28.79%
BB% (unintentional) /PA	3.36%	÷1.007	×0.690	—	×0.972	2.24%
HBP% /PA	1.34%	—	×0.940	—	×0.972	1.23%
Singles /BIP	19.23%	÷0.957	×0.930	×1.026	×0.972	18.63%
Doubles /BIP	5.77%	÷0.923	×0.830	×1.026	×0.972	5.17%
Triples /BIP	0.96%	÷0.912	×0.970	×1.026	×0.972	1.02%
Home runs /BIP	6.25%	÷0.994	×0.840	—	×0.972	5.13%

Factors used: league row IL. Park (home-season share, regressed): HR 99, 1B 91, 2B 85, 3B 82, K 96, BB 101 — 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 ×1.026.

Result: wOBA .305 → .265; ISO .198 → .164; BABIP .270 → .255. 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 AAALouisville Bats · 321 PAwOBA .282 → .233 (−49)K% 28.7% → 34.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	28.66%	÷0.991	×1.200	—	—	34.71%
BB% (unintentional) /PA	4.67%	÷1.023	×0.690	—	×0.982	3.10%
HBP% /PA	1.87%	—	×0.940	—	×0.982	1.73%
Singles /BIP	18.63%	÷0.999	×0.930	×1.029	×0.982	17.52%
Doubles /BIP	9.31%	÷0.975	×0.830	×1.029	×0.982	8.01%
Triples /BIP	0.00%	÷0.922	×0.970	×1.029	×0.982	0.00%
Home runs /BIP	4.41%	÷1.009	×0.840	—	×0.982	3.61%

Factors used: league row IL. Park (home-season share, regressed): HR 102, 1B 100, 2B 95, 3B 84, K 98, BB 105 — 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 ×1.029.

Result: wOBA .282 → .233; ISO .155 → .123; BABIP .289 → .262. 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 AAAFresno Grizzlies · 528 PAwOBA .327 → .250 (−78)K% 26.9% → 34.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	26.89%	÷0.994	×1.290	—	—	34.90%
BB% (unintentional) /PA	4.17%	÷1.005	×0.710	—	×0.992	2.92%
HBP% /PA	0.76%	—	×0.980	—	×0.992	0.74%
Singles /BIP	24.86%	÷1.002	×0.900	×1.004	×0.992	22.25%
Doubles /BIP	6.50%	÷1.014	×0.810	×1.004	×0.992	5.17%
Triples /BIP	0.85%	÷0.900	×0.810	×1.004	×0.992	0.76%
Home runs /BIP	5.93%	÷1.045	×0.780	—	×0.992	4.39%

Factors used: league row PCL. Park (home-season share, regressed): HR 109, 1B 100, 2B 103, 3B 80, K 99, 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 ×1.004.

Result: wOBA .327 → .250; ISO .185 → .130; BABIP .336 → .289. 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 AAAFresno Grizzlies · 497 PAwOBA .341 → .282 (−59)K% 22.5% → 29.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.54%	÷0.989	×1.290	—	—	29.38%
BB% (unintentional) /PA	4.02%	÷0.908	×0.710	—	×1.003	3.16%
HBP% /PA	1.21%	—	×0.980	—	×1.003	1.19%
Singles /BIP	26.27%	÷0.999	×0.900	×1.036	×1.003	24.61%
Doubles /BIP	6.78%	÷0.974	×0.810	×1.036	×1.003	5.86%
Triples /BIP	1.41%	÷0.954	×0.810	×1.036	×1.003	1.25%
Home runs /BIP	4.24%	÷0.994	×0.780	—	×1.003	3.34%

Factors used: league row PCL. Park (home-season share, regressed): HR 99, 1B 100, 2B 95, 3B 91, K 98, BB 82 — 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 ×1.036.

Result: wOBA .341 → .282; ISO .170 → .130; BABIP .358 → .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).

2012 AARichmond Flying Squirrels · 197 PAwOBA .245 → .202 (−43)K% 25.4% → 31.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.38%	÷0.992	×1.220	—	—	31.21%
BB% (unintentional) /PA	3.55%	÷0.950	×0.700	—	×0.988	2.59%
HBP% /PA	0.51%	—	×0.850	—	×0.988	0.43%
Singles /BIP	22.46%	÷1.023	×0.970	×0.986	×0.988	20.75%
Doubles /BIP	6.52%	÷0.979	×0.860	×0.986	×0.988	5.58%
Triples /BIP	0.00%	÷1.011	×0.950	×0.986	×0.988	0.00%
Home runs /BIP	1.45%	÷1.031	×0.780	—	×0.988	1.08%

Factors used: league row EL. Park (home-season share, regressed): HR 106, 1B 105, 2B 96, 3B 102, K 98, BB 90 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.986.

Result: wOBA .245 → .202; ISO .080 → .061; BABIP .292 → .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).

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