Bengie González

PosSS

B/TS/R

Born1990-01-16

Age (2027)37

No MLB projection yet. Career stats below are historical.

Overview

INTLLAST SEASON 2019

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2017	27	AAASyracuse Chie…	322	.237/.304/.289	0	2	42	—	.216/.260/.259
2018	28	AAA/INTL2 orgs	422	.257/.332/.337	3	11	61	—	.202/.257/.264
2019	29	AAA/INTL2 orgs	129	.214/.312/.259	0	2	55	—	.143/.208/.184

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)
2008	18	ROK	GCL Pirates	—	151	121	25	2	0	0	22	28	1	8	1	207	331	223	554	17	266	19	15	261	24	—	—	—	—	—	—
2009	19	ROK	GCL Pirates	—	184	159	46	5	1	0	17	33	2	7	5	289	365	333	699	44	362	18	9	313	50	—	—	—	—	—	—
2010	20	A	West Virginia Power	—	460	406	96	12	1	1	35	71	3	18	14	236	302	278	580	42	283	15	8	261	43	—	—	—	—	—	—
2010	20	INTL	Gigantes de Carolina	—	45	38	7	2	0	0	6	6	0	0	2	184	295	237	532	53	219	13	13	251	56	—	—	—	—	—	—
2011	21	A+	Bradenton Marauders	—	448	388	86	12	4	1	40	88	4	19	7	222	301	281	582	59	278	20	9	262	36	—	—	—	—	—	—
2011	21	INTL	Leones de Ponce	—	53	48	9	1	0	0	3	8	0	1	0	188	235	208	444	21	220	15	6	200	22	—	—	—	—	—	—
2012	22	A+	Bradenton Marauders	—	331	293	78	11	3	1	26	63	2	8	8	266	330	334	665	68	335	19	8	295	51	—	—	—	—	—	—
2012	22	INTL	Leones de Ponce	—	74	66	13	1	0	0	6	12	1	2	1	197	274	212	486	15	241	16	8	231	42	—	—	—	—	—	—
2013	23	A+	Bradenton Marauders	—	442	384	89	15	3	1	43	66	4	27	13	232	316	294	610	62	276	15	10	277	38	—	—	—	—	—	—
2013	23	INTL	Leones de Ponce	—	70	63	20	5	1	0	3	7	1	1	1	317	358	429	787	111	357	10	4	336	114	—	—	—	—	—	—
2014	24	A+	Lake Elsinore Storm	—	439	376	115	28	3	3	45	62	3	13	7	306	384	420	805	114	356	14	10	351	95	—	—	—	—	—	—
2014	24	INTL	Gigantes de Carolina	—	45	39	6	3	0	0	4	7	1	0	1	154	250	231	481	77	182	16	9	224	38	—	—	—	—	—	—
2015	25	AAA	El Paso Chihuahuas	—	61	54	17	8	1	0	4	9	0	1	0	315	362	500	862	185	378	15	7	359	89	—	—	—	—	—	—
2015	25	AA	San Antonio Missions	—	208	187	46	6	1	1	17	24	0	2	2	246	309	305	614	59	276	12	8	277	48	—	—	—	—	—	—
2015	25	ROK	AZL Padres	—	15	13	7	2	1	0	2	1	0	0	1	538	600	846	1.446	308	583	7	13	613	178	—	—	—	—	—	—
2015	25	INTL	Criollos de Caguas	—	124	113	24	3	1	0	8	21	1	2	2	212	270	257	527	44	258	17	6	241	49	—	—	—	—	—	—
2016	26	AA	Jackson Generals	—	569	502	136	33	5	5	57	83	1	19	8	271	346	386	733	116	311	15	10	326	82	—	—	—	—	—	—
2016	26	INTL	Indios de Mayaguez	—	113	100	25	4	1	0	13	15	0	0	1	250	336	310	646	60	294	13	12	300	89	—	—	—	—	—	—
2017	27	AAA	Syracuse Chiefs	—	322	291	69	9	3	0	28	44	0	2	2	237	304	289	593	52	277	14	9	272	42	—	—	—	—	—	—
2018	28	AAA	Syracuse Chiefs	—	350	312	75	14	1	3	31	68	3	9	3	240	315	321	636	80	296	19	9	289	46	—	—	—	—	—	—
2018	28	INTL	Criollos de Caguas	—	72	62	21	3	1	0	7	7	1	2	1	339	414	419	834	81	368	10	10	368	135	—	—	—	—	—	—
2019	29	AAA	Fresno Grizzlies	—	54	48	9	3	0	0	5	11	0	0	1	188	264	250	514	62	237	20	9	236	14	—	—	—	—	—	—
2019	29	INTL	Criollos de Caguas	—	75	64	15	2	0	0	10	4	1	2	1	234	347	266	612	31	250	5	13	294	85	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2008	18	ROK MLE	GCL Pirates	—	151	130	23	2	0	0	14	40	1	8	1	177	262	192	454	15	232	26	9	204	24	—	—	—	—	—	—
2009	19	ROK MLE	GCL Pirates	—	184	165	39	4	1	0	11	47	2	7	5	236	292	273	565	36	308	26	6	242	50	—	—	—	—	—	—
2010	20	A MLE	West Virginia Power	—	460	418	95	10	1	1	23	93	3	18	14	227	273	263	536	36	274	20	5	232	43	—	—	—	—	—	—
2011	21	A+ MLE	Bradenton Marauders	—	448	398	77	11	4	1	30	123	4	19	7	193	257	249	506	55	254	27	7	222	36	—	—	—	—	—	—
2012	22	A+ MLE	Bradenton Marauders	—	331	302	70	11	2	1	17	93	2	8	8	232	277	291	569	60	314	28	5	244	51	—	—	—	—	—	—
2013	23	A+ MLE	Bradenton Marauders	—	442	397	78	13	3	1	30	94	4	27	13	196	260	252	512	55	243	21	7	225	38	—	—	—	—	—	—
2014	24	A+ MLE	Lake Elsinore Storm	—	439	388	108	25	3	3	33	82	3	13	7	278	340	381	721	103	325	19	8	308	95	—	—	—	—	—	—
2015	25	AAA MLE	El Paso Chihuahuas	—	61	55	15	7	1	0	3	12	0	1	0	273	310	436	747	164	325	20	5	300	89	—	—	—	—	—	—
2015	25	AA MLE	San Antonio Missions	—	208	192	43	5	1	1	12	30	0	2	2	224	270	276	546	52	254	14	6	239	48	—	—	—	—	—	—
2015	25	ROK MLE	AZL Padres	—	15	14	5	1	1	0	1	1	0	0	1	357	400	571	971	214	428	7	7	432	178	—	—	—	—	—	—
2016	26	AA MLE	Jackson Generals	—	569	522	132	35	4	4	37	101	1	19	8	253	304	358	662	105	296	18	7	290	82	—	—	—	—	—	—
2017	27	AAA MLE	Syracuse Chiefs	—	322	301	65	7	3	0	18	52	0	2	2	216	260	259	519	43	254	16	6	230	42	—	—	—	—	—	—
2018	28	AAA MLE	Syracuse Chiefs	—	350	322	65	12	1	2	21	78	3	9	3	202	257	264	521	62	256	22	6	236	46	—	—	—	—	—	—
2019	29	AAA MLE	Fresno Grizzlies	—	54	49	7	2	0	0	4	15	0	0	1	143	208	184	391	41	210	28	7	189	14	—	—	—	—	—	—
2008	18	ROK MLE	GCL Pirates	—	151	130	23	2	0	0	14	40	1	8	1	177	262	192	454	15	253	26	9	204	24	—	—	—	—	—	—
2008	18	ROK RAW	GCL Pirates	—	151	121	25	2	0	0	22	28	1	8	1	207	331	223	554	17	266	19	15	261	24	—	—	—	—	—	—
2009	19	ROK MLE	GCL Pirates	—	184	165	39	4	1	0	11	47	2	7	5	236	292	273	565	36	328	26	6	242	50	—	—	—	—	—	—
2009	19	ROK RAW	GCL Pirates	—	184	159	46	5	1	0	17	33	2	7	5	289	365	333	699	44	362	18	9	313	50	—	—	—	—	—	—
2010	20	A MLE	2 teams	—	505	460	104	11	1	1	25	102	3	18	16	226	270	261	531	35	287	20	5	232	43	—	—	—	—	—	—
2010	20	A RAW	2 teams	—	505	444	103	14	1	1	41	77	3	18	16	232	301	275	576	43	277	15	8	260	43	—	—	—	—	—	—
2011	21	A+ MLE	2 teams	—	501	446	85	12	4	1	33	137	4	20	7	191	253	242	495	52	266	27	7	222	36	—	—	—	—	—	—
2011	21	A+ RAW	2 teams	—	501	436	95	13	4	1	43	96	4	20	7	218	294	273	567	55	271	19	9	255	36	—	—	—	—	—	—
2012	22	A+ MLE	2 teams	—	405	370	86	13	3	1	21	114	3	10	9	232	279	292	571	59	332	28	5	244	51	—	—	—	—	—	—
2012	22	A+ RAW	2 teams	—	405	359	91	12	3	1	32	75	3	10	9	253	320	312	632	58	317	19	8	283	51	—	—	—	—	—	—
2013	23	A+ MLE	2 teams	—	512	458	89	15	3	1	35	109	5	28	14	194	259	247	506	52	251	21	7	225	38	—	—	—	—	—	—
2013	23	A+ RAW	2 teams	—	512	447	109	20	4	1	46	73	5	28	14	244	321	313	634	69	288	14	9	285	38	—	—	—	—	—	—
2014	24	A+ MLE	2 teams	—	484	428	119	27	3	4	36	91	4	13	8	278	340	383	723	105	340	19	7	308	95	—	—	—	—	—	—
2014	24	A+ RAW	2 teams	—	484	415	121	31	3	3	49	69	4	13	8	292	372	402	774	111	339	14	10	339	95	—	—	—	—	—	—
2015	25	AA MLE	4 teams	—	408	375	90	19	3	1	23	63	1	5	5	240	286	315	600	75	284	15	6	262	64	—	—	—	—	—	—
2015	25	AA RAW	4 teams	—	408	367	94	19	4	1	31	55	1	5	5	256	316	338	654	82	297	13	8	291	64	—	—	—	—	—	—
2016	26	AA MLE	2 teams	—	682	628	159	42	5	5	44	121	1	19	9	253	303	360	663	107	303	18	6	290	82	—	—	—	—	—	—
2016	26	AA RAW	2 teams	—	682	602	161	37	6	5	70	98	1	19	9	267	345	374	718	106	308	14	10	322	82	—	—	—	—	—	—
2017	27	AAA MLE	Syracuse Chiefs	—	322	301	65	7	3	0	18	52	0	2	2	216	260	259	519	43	259	16	6	230	42	—	—	—	—	—	—
2017	27	AAA RAW	Syracuse Chiefs	—	322	291	69	9	3	0	28	44	0	2	2	237	304	289	593	52	277	14	9	272	42	—	—	—	—	—	—
2018	28	AAA MLE	2 teams	—	422	387	80	15	1	3	25	94	4	11	4	207	262	274	536	67	262	22	6	236	46	—	—	—	—	—	—
2018	28	AAA RAW	2 teams	—	422	374	96	17	2	3	38	75	4	11	4	257	332	337	669	80	310	18	9	303	46	—	—	—	—	—	—
2019	29	INTL MLE	2 teams	—	129	119	19	6	0	0	8	36	1	2	2	160	219	210	429	50	226	28	6	189	14	—	—	—	—	—	—
2019	29	INTL RAW	2 teams	—	129	112	24	5	0	0	15	15	1	2	2	214	312	259	571	45	245	12	12	270	14	—	—	—	—	—	—
2008	18	ROK MLE	GCL Pirates	—	151	135	23	2	0	0	14	40	1	8	1	170	262	185	447	15	232	26	9	204	24	—	—	—	—	—	—
2009	19	ROK MLE	GCL Pirates	—	184	169	39	4	1	0	11	47	2	7	5	231	292	266	558	36	308	26	6	242	50	—	—	—	—	—	—
2010	20	A MLE	2 teams	—	505	472	104	11	1	1	25	102	3	18	16	220	270	254	525	34	274	20	5	232	43	—	—	—	—	—	—
2011	21	A+ MLE	2 teams	—	501	459	85	12	4	1	33	137	4	20	7	185	253	235	488	50	254	27	7	222	36	—	—	—	—	—	—
2012	22	A+ MLE	2 teams	—	405	378	86	13	3	1	21	114	3	10	9	228	279	286	565	58	314	28	5	244	51	—	—	—	—	—	—
2013	23	A+ MLE	2 teams	—	512	467	89	15	3	1	35	109	5	28	14	191	259	242	501	51	243	21	7	225	38	—	—	—	—	—	—
2014	24	A+ MLE	2 teams	—	484	441	119	27	3	4	36	91	4	13	8	270	340	372	712	102	325	19	7	308	95	—	—	—	—	—	—
2015	25	AA MLE	4 teams	—	408	381	90	19	3	1	23	63	1	5	5	236	286	310	595	73	278	15	6	262	64	—	—	—	—	—	—
2016	26	AA MLE	2 teams	—	682	632	159	42	5	5	44	121	1	19	9	252	303	358	661	106	296	18	6	290	82	—	—	—	—	—	—
2017	27	AAA MLE	Syracuse Chiefs	—	322	301	65	7	3	0	18	52	0	2	2	216	260	259	519	43	254	16	6	230	42	—	—	—	—	—	—
2018	28	AAA MLE	2 teams	—	422	390	80	15	1	3	25	94	4	11	4	205	262	272	534	67	256	22	6	236	46	—	—	—	—	—	—
2019	29	INTL MLE	2 teams	—	129	119	19	6	0	0	8	36	1	2	2	160	219	210	429	50	210	28	6	189	14	—	—	—	—	—	—
▸ Career Totals
Career	—	MLE		—	4705	4267	958	173	27	17	293	1006	29	143	82	225	279	290	569	65	287	21	6	249	54	-255	-4	+0	+50	+102	-10.9
/ 162G	—	MLE		—	650	589	132	24	4	2	40	139	4	20	11	224	278	289	566	65	287	21	6	249	54	-35	-0	+0	+7	+14	-1.5

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 AAAFresno Grizzlies · 54 PAwOBA .235 → .189 (−46)K% 20.4% → 27.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.37%	÷0.953	×1.290	—	—	27.58%
BB% (unintentional) /PA	9.26%	÷0.990	×0.710	—	×0.982	6.52%
HBP% /PA	0.00%	—	×0.980	—	×0.982	0.00%
Singles /BIP	16.22%	÷0.959	×0.900	—	×0.982	14.94%
Doubles /BIP	8.11%	÷0.976	×0.810	—	×0.982	6.61%
Triples /BIP	0.00%	÷1.140	×0.810	—	×0.982	0.00%
Home runs /BIP	0.00%	÷0.962	×0.780	—	×0.982	0.00%

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 29 vs a level average of 27.2 → −1.8% on BB/HBP/hit rates (1.8 yr older than average).

Result: wOBA .235 → .189; ISO .062 → .049; BABIP .237 → .210. 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 · 350 PAwOBA .281 → .236 (−45)K% 19.4% → 22.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.43%	÷1.044	×1.200	—	—	22.33%
BB% (unintentional) /PA	8.29%	÷0.956	×0.690	—	×0.992	5.93%
HBP% /PA	0.86%	—	×0.940	—	×0.992	0.80%
Singles /BIP	23.36%	÷1.044	×0.930	×0.980	×0.992	20.24%
Doubles /BIP	5.74%	÷0.933	×0.830	×0.980	×0.992	4.96%
Triples /BIP	0.41%	÷0.900	×0.970	×0.980	×0.992	0.43%
Home runs /BIP	1.23%	÷1.205	×0.840	—	×0.992	0.85%

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 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 ×0.980.

Result: wOBA .281 → .236; ISO .080 → .067; BABIP .296 → .256. 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 AAASyracuse Chiefs · 322 PAwOBA .266 → .230 (−35)K% 13.7% → 16.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.66%	÷1.005	×1.200	—	—	16.32%
BB% (unintentional) /PA	8.39%	÷1.033	×0.690	—	×1.003	5.62%
HBP% /PA	0.00%	—	×0.940	—	×1.003	0.00%
Singles /BIP	23.08%	÷0.997	×0.930	×1.008	×1.003	21.75%
Doubles /BIP	3.64%	÷1.081	×0.830	×1.008	×1.003	2.83%
Triples /BIP	1.21%	÷1.150	×0.970	×1.008	×1.003	1.04%
Home runs /BIP	0.00%	÷0.980	×0.840	—	×1.003	0.00%

Factors used: league row IL. Park (home-season share, regressed): HR 96, 1B 99, 2B 116, 3B 130, K 101, BB 107 — 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 ×1.008.

Result: wOBA .266 → .230; ISO .052 → .042; BABIP .277 → .254. 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 AAJackson Generals · 569 PAwOBA .321 → .290 (−31)K% 14.6% → 17.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.59%	÷1.001	×1.220	—	—	17.78%
BB% (unintentional) /PA	9.84%	÷1.011	×0.680	—	×0.988	6.54%
HBP% /PA	0.18%	—	×0.840	—	×0.988	0.15%
Singles /BIP	22.20%	÷0.989	×0.920	×1.017	×0.988	20.75%
Doubles /BIP	7.88%	÷0.889	×0.910	×1.017	×0.988	8.10%
Triples /BIP	1.19%	÷1.138	×0.880	×1.017	×0.988	0.93%
Home runs /BIP	1.19%	÷0.992	×0.800	—	×0.988	0.95%

Factors used: league row SL. Park (home-season share, regressed): HR 98, 1B 98, 2B 78, 3B 128, K 100, BB 102 — 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 ×1.017.

Result: wOBA .321 → .290; ISO .116 → .110; BABIP .311 → .296. 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 AASan Antonio Missions · 208 PAwOBA .272 → .239 (−33)K% 11.5% → 14.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	11.54%	÷0.963	×1.220	—	—	14.62%
BB% (unintentional) /PA	8.17%	÷1.010	×0.700	—	×0.998	5.65%
HBP% /PA	0.00%	—	×0.870	—	×0.998	0.00%
Singles /BIP	23.31%	÷0.984	×0.920	×1.000	×0.998	21.76%
Doubles /BIP	3.68%	÷0.989	×0.840	×1.000	×0.998	3.12%
Triples /BIP	0.61%	÷1.124	×0.940	×1.000	×0.998	0.51%
Home runs /BIP	0.61%	÷0.885	×0.800	—	×0.998	0.55%

Factors used: league row TL. Park (home-season share, regressed): HR 77, 1B 97, 2B 98, 3B 125, K 93, BB 102 — applied at half strength. Age: age 25 vs a level average of 24.8 → −0.2% on BB/HBP/hit rates (0.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.000.

Result: wOBA .272 → .239; ISO .059 → .051; BABIP .276 → .254. 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 AAAEl Paso Chihuahuas · 61 PAwOBA .350 → .300 (−50)K% 14.8% → 19.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.75%	÷0.980	×1.290	—	—	19.43%
BB% (unintentional) /PA	6.56%	÷0.972	×0.710	—	×1.033	4.95%
HBP% /PA	0.00%	—	×0.980	—	×1.033	0.00%
Singles /BIP	17.78%	÷1.017	×0.900	×0.978	×1.033	15.89%
Doubles /BIP	17.78%	÷0.970	×0.810	×0.978	×1.033	14.99%
Triples /BIP	2.22%	÷1.150	×0.810	×0.978	×1.033	1.58%
Home runs /BIP	0.00%	÷0.919	×0.780	—	×1.033	0.00%

Factors used: league row PCL. Park (home-season share, regressed): HR 84, 1B 103, 2B 94, 3B 130, K 96, BB 94 — 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 ×0.978.

Result: wOBA .350 → .300; ISO .185 → .155; BABIP .378 → .325. 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 ROKAZL Padres · 15 PAwOBA .597 → .432 (−166)K% 6.7% → 9.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	6.67%	÷1.000	×1.440	—	—	9.60%
BB% (unintentional) /PA	13.33%	÷1.000	×0.620	—	×0.945	7.81%
HBP% /PA	0.00%	—	×0.720	—	×0.945	0.00%
Singles /BIP	33.33%	÷1.000	×0.820	—	×0.945	25.83%
Doubles /BIP	16.67%	÷1.000	×0.720	—	×0.945	11.34%
Triples /BIP	8.33%	÷1.000	×0.720	—	×0.945	5.67%
Home runs /BIP	0.00%	÷1.000	×0.780	—	×0.945	0.00%

Factors used: level-wide ROK 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 25 vs a level average of 19.5 → −5.5% on BB/HBP/hit rates (5.5 yr older than average).

Result: wOBA .597 → .432; ISO .308 → .216; BABIP .583 → .428. 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 A+Lake Elsinore Storm · 439 PAwOBA .345 → .308 (−37)K% 14.1% → 18.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.12%	÷1.013	×1.340	—	—	18.68%
BB% (unintentional) /PA	10.25%	÷0.955	×0.710	—	×0.988	7.53%
HBP% /PA	0.68%	—	×0.790	—	×0.988	0.53%
Singles /BIP	25.80%	÷0.982	×0.910	×1.019	×0.988	24.08%
Doubles /BIP	8.92%	÷0.963	×0.820	×1.019	×0.988	7.65%
Triples /BIP	0.96%	÷0.900	×0.760	×1.019	×0.988	0.81%
Home runs /BIP	0.96%	÷0.875	×0.920	—	×0.988	0.99%

Factors used: league row CAL. Park (home-season share, regressed): HR 75, 1B 96, 2B 93, 3B 80, K 103, BB 91 — 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 ×1.019.

Result: wOBA .345 → .308; ISO .114 → .105; BABIP .356 → .325. 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 — .