Jake Smolinski

PosCF

B/TR/R

Born1989-02-09

Age (2027)38

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	28	AAA/A+/INTL3 orgs	118	.183/.261/.327	3	2	46	—	.164/.229/.257
2017	28	MLBOakland Athle…	29	.259/.310/.296	0	0	76	0.1
2018	29	AAAMIL	145	.278/.372/.548	10	1	88	—	.206/.283/.389
2018	29	MLBOakland Athle…	41	.128/.171/.205	0	1	2	-0.2
2019	30	AAATB	286	.270/.363/.504	12	9	83	—	.217/.289/.391
2020	31	No MLB games played
2021	32	No MLB games played
2022	33	No MLB games played
2023	34	No MLB games played
2024	35	No MLB games played
2025	36	No MLB games played
2026	37	No MLB games played

Last 3 seasons WAR -0.0

Contract

No contract data on file.

Skills · percentileStatcast 2016-2018

Speed52

xwOBA45

Avg EV29

Barrel%17

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)
2007	18	ROK	GCL Nationals	—	119	105	32	8	0	1	13	24	1	7	2	305	387	410	796	105	388	20	11	361	65	—	—	—	—	—	—
2008	19	A	Hagerstown Suns	—	210	184	48	12	1	4	19	33	3	1	2	261	340	402	742	141	297	16	9	328	78	—	—	—	—	—	—
2009	20	A	Greensboro Grasshoppers	—	322	279	79	25	0	7	38	45	5	2	5	283	379	448	827	165	317	14	12	371	91	—	—	—	—	—	—
2010	21	A+	Jupiter Hammerheads	—	443	405	107	27	3	5	31	62	3	8	5	264	321	383	704	119	298	14	7	314	73	—	—	—	—	—	—
2011	22	AA	Jacksonville Suns	—	462	396	97	26	0	7	59	57	1	6	5	245	344	364	708	119	269	12	13	320	78	—	—	—	—	—	—
2012	23	AA	Jacksonville Suns	—	500	408	105	24	3	7	78	74	10	9	4	257	389	382	771	125	298	15	16	353	88	—	—	—	—	—	—
2013	24	AAA	New Orleans Zephyrs	—	357	314	81	14	2	9	37	61	5	8	1	258	346	401	747	143	294	17	10	336	68	—	—	—	—	—	—
2013	24	AA	Jacksonville Suns	—	70	56	11	1	0	0	13	10	1	1	0	196	357	214	571	18	239	14	19	288	46	—	—	—	—	—	—
2014	25	MLB	Texas Rangers	—	92	86	30	5	0	3	3	24	3	0	0	349	391	512	903	163	458	26	3	401	151	+6	+0	-0	-6	+2	0.1
2014	25	AAA	Round Rock Express	—	34	30	8	6	0	0	4	5	0	0	0	267	353	467	820	200	320	15	12	362	75	—	—	—	—	—	—
2014	25	AA	Frisco RoughRiders	—	307	266	71	15	3	10	32	54	4	6	2	267	354	459	813	192	295	18	10	355	76	—	—	—	—	—	—
2014	25	INTL	Yaquis de Obregon	—	134	117	28	6	0	3	15	24	1	2	3	239	331	368	698	128	278	18	11	316	100	—	—	—	—	—	—
2015	26	MLB	Oakland Athletics	—	192	166	32	7	2	6	19	39	3	1	1	193	287	367	655	175	208	20	10	289	86	-3	-0	+2	-4	+4	-0.1
2015	26	AAA	Nashville Sounds	—	147	131	49	14	0	9	12	16	2	2	2	374	434	687	1.122	313	370	11	8	477	160	—	—	—	—	—	—
2016	27	MLB	Oakland Athletics	—	319	290	69	6	2	7	19	44	7	1	2	238	301	345	645	107	257	14	6	291	86	-5	-1	+0	+2	+7	0.3
2016	27	AAA	Nashville Sounds	—	159	145	36	14	0	3	11	23	2	6	1	248	310	407	717	159	277	14	7	318	68	—	—	—	—	—	—
2017	28	MLB	Oakland Athletics	—	29	27	7	1	0	0	1	6	1	0	0	259	310	296	607	37	333	21	3	281	76	-1	+0	+1	+1	+1	0.1
2017	28	AAA	Nashville Sounds	—	32	31	4	1	0	0	0	8	1	0	0	129	156	161	318	32	174	25	0	148	-35	—	—	—	—	—	—
2017	28	A+	Stockton Ports	—	32	24	6	1	0	1	5	4	1	0	1	250	400	417	817	167	238	12	16	350	84	—	—	—	—	—	—
2017	28	INTL	Yaquis de Obregon	—	54	49	9	4	0	2	4	17	0	2	0	184	245	388	633	204	226	31	7	274	72	—	—	—	—	—	—
2018	29	MLB	Oakland Athletics	—	41	39	5	1	1	0	1	10	1	1	0	128	171	205	376	77	172	24	2	172	2	-5	+0	+1	+1	+1	-0.2
2018	29	AAA	Nashville Sounds	—	145	126	35	4	0	10	18	42	1	1	0	278	372	548	920	270	338	29	12	402	88	—	—	—	—	—	—
2019	30	AAA	Durham Bulls	—	286	248	67	18	2	12	29	58	7	9	2	270	363	504	867	234	306	20	10	379	83	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	673	608	143	20	5	16	43	123	15	3	3	235	302	363	665	128	267	18	6	298	88	-10	-1	+4	-7	+15	0.1
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2007	18	ROK MLE	GCL Nationals	—	119	110	26	6	0	1	8	35	1	7	2	236	294	318	612	82	329	29	7	264	65	—	—	—	—	—	—
2008	19	A MLE	Hagerstown Suns	—	210	190	46	11	1	3	13	44	3	1	2	242	301	358	659	116	285	21	6	284	78	—	—	—	—	—	—
2009	20	A MLE	Greensboro Grasshoppers	—	322	291	71	21	0	6	26	60	5	2	5	244	317	378	695	134	287	19	8	302	91	—	—	—	—	—	—
2010	21	A+ MLE	Jupiter Hammerheads	—	443	411	97	25	2	5	25	89	3	8	5	236	285	343	628	107	283	20	6	276	73	—	—	—	—	—	—
2011	22	AA MLE	Jacksonville Suns	—	462	417	97	27	0	6	38	67	1	6	5	233	298	341	639	108	257	15	8	284	78	—	—	—	—	—	—
2012	23	AA MLE	Jacksonville Suns	—	500	432	101	23	3	7	54	92	10	9	4	234	333	350	682	116	273	18	11	299	88	—	—	—	—	—	—
2013	24	AAA MLE	New Orleans Zephyrs	—	357	325	70	12	2	5	26	78	5	8	1	215	284	311	594	95	265	22	7	268	68	—	—	—	—	—	—
2013	24	AA MLE	Jacksonville Suns	—	70	61	11	1	0	0	8	12	1	1	0	180	286	197	482	16	221	17	11	236	46	—	—	—	—	—	—
2014	25	MLB MLE	Texas Rangers	—	92	86	30	5	0	3	3	24	3	0	0	349	391	512	903	163	458	26	3	391	151	+6	+0	-0	-6	+2	0.1
2014	25	AAA MLE	Round Rock Express	—	34	31	7	5	0	0	3	6	0	0	0	226	294	387	681	161	266	18	9	279	75	—	—	—	—	—	—
2014	25	AA MLE	Frisco RoughRiders	—	307	277	61	14	3	6	21	67	4	6	2	220	285	357	642	137	254	22	7	280	76	—	—	—	—	—	—
2015	26	MLB MLE	Oakland Athletics	—	192	166	33	7	2	7	19	39	3	1	1	199	293	392	684	193	208	20	10	295	86	-3	-0	+2	-4	+4	-0.1
2015	26	AAA MLE	Nashville Sounds	—	147	134	43	10	0	9	9	20	2	2	2	321	372	597	969	276	314	14	6	405	160	—	—	—	—	—	—
2016	27	MLB MLE	Oakland Athletics	—	319	290	70	6	2	8	19	44	7	1	2	241	304	359	662	117	257	14	6	295	86	-5	-1	+0	+2	+7	0.3
2016	27	AAA MLE	Nashville Sounds	—	159	148	33	13	0	3	8	30	2	6	1	223	272	372	644	149	249	19	5	268	68	—	—	—	—	—	—
2017	28	MLB MLE	Oakland Athletics	—	29	27	7	1	0	0	1	6	1	0	0	259	310	296	607	37	333	21	3	280	76	-1	+0	+1	+1	+1	0.1
2017	28	AAA MLE	Nashville Sounds	—	32	31	3	1	0	0	0	10	1	0	0	97	125	129	254	32	153	31	0	117	-35	—	—	—	—	—	—
2017	28	A+ MLE	Stockton Ports	—	32	26	6	1	0	1	3	5	1	0	1	231	333	385	718	154	205	16	9	292	84	—	—	—	—	—	—
2018	29	MLB MLE	Oakland Athletics	—	41	39	5	1	1	0	1	10	1	1	0	128	171	205	376	77	172	24	2	172	2	-5	+0	+1	+1	+1	-0.2
2018	29	AAA MLE	Nashville Sounds	—	145	131	27	3	0	7	13	51	1	1	0	206	283	389	672	183	279	35	9	299	88	—	—	—	—	—	—
2019	30	AAA MLE	Durham Bulls	—	286	258	56	14	2	9	19	68	7	9	2	217	289	391	680	174	251	24	7	291	83	—	—	—	—	—	—
2007	18	ROK MLE	GCL Nationals	—	119	110	26	6	0	1	8	35	1	7	2	236	294	318	612	82	338	29	7	264	65	—	—	—	—	—	—
2007	18	ROK RAW	GCL Nationals	—	119	105	32	8	0	1	13	24	1	7	2	305	387	410	796	105	388	20	11	361	65	—	—	—	—	—	—
2008	19	A MLE	Hagerstown Suns	—	210	190	46	11	1	3	13	44	3	1	2	242	301	358	659	116	299	21	6	284	78	—	—	—	—	—	—
2008	19	A RAW	Hagerstown Suns	—	210	184	48	12	1	4	19	33	3	1	2	261	340	402	742	141	297	16	9	328	78	—	—	—	—	—	—
2009	20	A MLE	Greensboro Grasshoppers	—	322	291	71	21	0	6	26	60	5	2	5	244	317	378	695	134	289	19	8	302	91	—	—	—	—	—	—
2009	20	A RAW	Greensboro Grasshoppers	—	322	279	79	25	0	7	38	45	5	2	5	283	379	448	827	165	317	14	12	371	91	—	—	—	—	—	—
2010	21	A+ MLE	Jupiter Hammerheads	—	443	411	97	25	2	5	25	89	3	8	5	236	285	343	628	107	287	20	6	276	73	—	—	—	—	—	—
2010	21	A+ RAW	Jupiter Hammerheads	—	443	405	107	27	3	5	31	62	3	8	5	264	321	383	704	119	298	14	7	314	73	—	—	—	—	—	—
2011	22	AA MLE	Jacksonville Suns	—	462	417	97	27	0	6	38	67	1	6	5	233	298	341	639	108	262	15	8	284	78	—	—	—	—	—	—
2011	22	AA RAW	Jacksonville Suns	—	462	396	97	26	0	7	59	57	1	6	5	245	344	364	708	119	269	12	13	320	78	—	—	—	—	—	—
2012	23	AA MLE	Jacksonville Suns	—	500	432	101	23	3	7	54	92	10	9	4	234	333	350	682	116	281	18	11	299	88	—	—	—	—	—	—
2012	23	AA RAW	Jacksonville Suns	—	500	408	105	24	3	7	78	74	10	9	4	257	389	382	771	125	298	15	16	353	88	—	—	—	—	—	—
2013	24	AAA MLE	2 teams	—	427	385	81	13	2	5	35	90	6	9	1	210	286	294	580	83	261	21	8	263	64	—	—	—	—	—	—
2013	24	AAA RAW	2 teams	—	427	370	92	15	2	9	50	71	6	9	1	249	347	373	720	124	285	17	12	328	64	—	—	—	—	—	—
2014	25	AA MLE	4 teams	—	567	518	126	30	4	12	35	127	8	8	5	243	301	386	687	143	297	22	6	303	92	—	—	—	—	—	—
2014	25	AA RAW	4 teams	—	567	499	137	32	3	16	54	107	8	8	5	275	355	447	802	172	318	19	10	354	92	—	—	—	—	—	—
2015	26	MLB MLE	2 teams	—	339	300	75	17	2	15	28	59	5	3	3	250	324	470	794	220	259	17	8	343	118	+7	-1	+2	-4	+7	1.2
2015	26	MLB RAW	2 teams	—	339	297	81	21	2	15	31	55	5	3	3	273	351	508	860	236	283	16	9	371	118	+7	-1	+2	-4	+7	1.2
2016	27	MLB MLE	2 teams	—	478	438	101	18	2	10	27	74	9	7	3	231	289	349	638	119	256	15	6	286	80	-11	+0	+0	+2	+10	0.1
2016	27	MLB RAW	2 teams	—	478	435	105	20	2	10	30	67	9	7	3	241	304	366	669	124	264	14	6	300	80	-11	+0	+0	+2	+10	0.1
2017	28	INTL MLE	4 teams	—	147	135	25	4	0	1	6	34	3	2	1	185	236	237	473	52	233	23	4	228	41	—	—	—	—	—	—
2017	28	INTL RAW	4 teams	—	147	131	26	7	0	3	10	35	3	2	1	198	271	321	591	122	240	24	7	265	41	—	—	—	—	—	—
2018	29	AAA MLE	2 teams	—	186	170	32	4	1	7	14	61	2	2	0	188	258	347	605	159	245	33	8	271	70	—	—	—	—	—	—
2018	29	AAA RAW	2 teams	—	186	165	40	5	1	10	19	52	2	2	0	242	328	467	795	224	291	28	10	351	70	—	—	—	—	—	—
2019	30	AAA MLE	Durham Bulls	—	286	258	56	14	2	9	19	68	7	9	2	217	289	391	680	174	257	24	7	291	83	—	—	—	—	—	—
2019	30	AAA RAW	Durham Bulls	—	286	248	67	18	2	12	29	58	7	9	2	270	363	504	867	234	306	20	10	379	83	—	—	—	—	—	—
2007	18	ROK MLE	GCL Nationals	—	119	109	26	6	0	1	8	35	1	7	2	239	294	321	615	83	329	29	7	264	65	—	—	—	—	—	—
2008	19	A MLE	Hagerstown Suns	—	210	192	46	11	1	3	13	44	3	1	2	240	301	354	655	115	285	21	6	284	78	—	—	—	—	—	—
2009	20	A MLE	Greensboro Grasshoppers	—	322	288	71	21	0	6	26	60	5	2	5	247	317	382	699	135	287	19	8	302	91	—	—	—	—	—	—
2010	21	A+ MLE	Jupiter Hammerheads	—	443	412	97	25	2	5	25	89	3	8	5	235	285	342	627	107	283	20	6	276	73	—	—	—	—	—	—
2011	22	AA MLE	Jacksonville Suns	—	462	420	97	27	0	6	38	67	1	6	5	231	298	338	636	107	257	15	8	284	78	—	—	—	—	—	—
2012	23	AA MLE	Jacksonville Suns	—	500	432	101	23	3	7	54	92	10	9	4	234	333	350	682	116	273	18	11	299	88	—	—	—	—	—	—
2013	24	AAA MLE	2 teams	—	427	383	81	13	2	5	35	90	6	9	1	211	286	295	581	84	258	21	8	263	64	—	—	—	—	—	—
2014	25	AA MLE	4 teams	—	567	519	126	30	4	12	35	127	8	8	5	243	301	385	687	143	298	22	6	303	92	—	—	—	—	—	—
2015	26	MLB MLE	2 teams	—	339	303	75	17	2	15	28	59	5	3	3	248	324	465	790	218	254	17	8	343	118	—	—	—	—	—	—
2016	27	MLB MLE	2 teams	—	478	439	101	18	2	10	27	74	9	7	3	230	289	349	638	118	255	15	6	286	80	—	—	—	—	—	—
2017	28	INTL MLE	4 teams	—	147	137	25	4	0	1	6	34	3	2	1	182	236	234	470	51	227	23	4	228	41	—	—	—	—	—	—
2018	29	AAA MLE	2 teams	—	186	168	32	4	1	7	14	61	2	2	0	190	258	351	609	161	256	33	8	271	70	—	—	—	—	—	—
2019	30	AAA MLE	Durham Bulls	—	286	258	56	14	2	9	19	68	7	9	2	217	289	391	680	174	251	24	7	291	83	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	673	608	143	20	5	16	43	123	15	3	3	235	302	363	665	128	267	18	6	298	82	-10	-1	+4	-7	+15	0.1
/ 162G	—	A+C		—	650	587	138	19	5	15	42	119	14	3	3	235	302	361	663	126	268	18	6	298	82	-10	-1	+4	-7	+14	0.1
Career	—	MLE		—	4486	4055	934	213	19	87	328	900	63	73	38	230	298	357	655	126	273	20	7	289	82	-10	-1	+4	-7	+15	0.1
/ 162G	—	MLE		—	650	588	136	31	3	13	48	130	9	11	6	231	300	361	660	129	274	20	7	289	82	-10	-1	+4	-7	+14	0.1

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 AAADurham Bulls · 286 PAwOBA .371 → .291 (−80)K% 20.3% → 23.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.28%	÷1.020	×1.200	—	—	23.85%
BB% (unintentional) /PA	10.14%	÷0.998	×0.690	—	×0.972	6.82%
HBP% /PA	2.45%	—	×0.940	—	×0.972	2.24%
Singles /BIP	18.42%	÷0.986	×0.930	×0.950	×0.972	16.04%
Doubles /BIP	9.47%	÷1.006	×0.830	×0.950	×0.972	7.22%
Triples /BIP	1.05%	÷1.025	×0.970	×0.950	×0.972	0.92%
Home runs /BIP	6.32%	÷1.128	×0.840	—	×0.972	4.57%

Factors used: league row IL. Park (home-season share, regressed): HR 126, 1B 97, 2B 101, 3B 105, K 104, BB 100 — 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 ×0.950.

Result: wOBA .371 → .291; ISO .234 → .176; BABIP .306 → .251. 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 AAANashville Sounds · 145 PAwOBA .391 → .299 (−92)K% 29.0% → 35.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	28.97%	÷1.055	×1.290	—	—	35.41%
BB% (unintentional) /PA	12.41%	÷0.966	×0.710	—	×0.982	8.96%
HBP% /PA	0.69%	—	×0.980	—	×0.982	0.66%
Singles /BIP	25.00%	÷0.986	×0.900	×0.959	×0.982	21.49%
Doubles /BIP	4.76%	÷0.937	×0.810	×0.959	×0.982	3.88%
Triples /BIP	0.00%	÷1.150	×0.810	×0.959	×0.982	0.00%
Home runs /BIP	11.90%	÷0.988	×0.780	—	×0.982	9.23%

Factors used: league row PCL. Park (home-season share, regressed): HR 98, 1B 97, 2B 87, 3B 130, K 111, BB 93 — 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 ×0.959.

Result: wOBA .391 → .299; ISO .270 → .200; BABIP .338 → .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).

2017 AAANashville Sounds · 32 PAwOBA .144 → .117 (−27)K% 25.0% → 32.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.00%	÷1.003	×1.290	—	—	32.16%
BB% (unintentional) /PA	0.00%	÷1.029	×0.710	—	×0.992	0.00%
HBP% /PA	3.12%	—	×0.980	—	×0.992	3.04%
Singles /BIP	13.04%	÷0.984	×0.900	—	×0.992	11.84%
Doubles /BIP	4.35%	÷1.021	×0.810	—	×0.992	3.42%
Triples /BIP	0.00%	÷0.900	×0.810	—	×0.992	0.00%
Home runs /BIP	0.00%	÷0.868	×0.780	—	×0.992	0.00%

Factors used: league row PCL. Park (home-season share, regressed): HR 74, 1B 97, 2B 104, 3B 80, K 101, BB 106 — 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 .144 → .117; ISO .032 → .023; BABIP .174 → .153. 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 A+Stockton Ports · 32 PAwOBA .365 → .292 (−73)K% 12.5% → 16.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.50%	÷1.010	×1.340	—	—	16.59%
BB% (unintentional) /PA	15.62%	÷1.115	×0.710	—	×0.948	9.43%
HBP% /PA	3.12%	—	×0.790	—	×0.948	2.34%
Singles /BIP	20.00%	÷0.979	×0.910	—	×0.948	17.62%
Doubles /BIP	5.00%	÷0.972	×0.820	—	×0.948	4.00%
Triples /BIP	0.00%	÷0.900	×0.760	—	×0.948	0.00%
Home runs /BIP	5.00%	÷1.397	×0.920	—	×0.948	3.12%

Factors used: league row CAL. Park (home-season share, regressed): HR 179, 1B 96, 2B 94, 3B 80, K 102, BB 123 — applied at half strength. Age: age 28 vs a level average of 22.8 → −5.2% on BB/HBP/hit rates (5.2 yr older than average).

Result: wOBA .365 → .292; ISO .167 → .128; BABIP .238 → .205. 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 AAANashville Sounds · 159 PAwOBA .309 → .268 (−42)K% 14.5% → 18.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.47%	÷1.004	×1.290	—	—	18.58%
BB% (unintentional) /PA	6.92%	÷0.979	×0.710	—	×1.003	5.03%
HBP% /PA	1.26%	—	×0.980	—	×1.003	1.24%
Singles /BIP	15.57%	÷1.035	×0.900	×1.017	×1.003	13.82%
Doubles /BIP	11.48%	÷0.898	×0.810	×1.017	×1.003	10.55%
Triples /BIP	0.00%	÷1.015	×0.810	×1.017	×1.003	0.00%
Home runs /BIP	2.46%	÷0.856	×0.780	—	×1.003	2.25%

Factors used: league row PCL. Park (home-season share, regressed): HR 71, 1B 107, 2B 80, 3B 103, K 101, BB 96 — 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 ×1.017.

Result: wOBA .309 → .268; ISO .159 → .143; BABIP .277 → .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).

2015 AAANashville Sounds · 147 PAwOBA .469 → .405 (−64)K% 10.9% → 13.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	10.88%	÷1.034	×1.290	—	—	13.57%
BB% (unintentional) /PA	8.16%	÷1.018	×0.710	—	×1.018	5.80%
HBP% /PA	1.36%	—	×0.980	—	×1.018	1.36%
Singles /BIP	22.61%	÷0.953	×0.900	×0.950	×1.018	20.64%
Doubles /BIP	12.17%	÷1.063	×0.810	×0.950	×1.018	8.97%
Triples /BIP	0.00%	÷0.952	×0.810	×0.950	×1.018	0.00%
Home runs /BIP	7.83%	÷0.843	×0.780	—	×1.018	7.37%

Factors used: league row PCL. Park (home-season share, regressed): HR 69, 1B 91, 2B 113, 3B 90, K 107, BB 104 — 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 ×0.950.

Result: wOBA .469 → .405; ISO .313 → .277; BABIP .370 → .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).

2014 AAFrisco RoughRiders · 307 PAwOBA .352 → .280 (−72)K% 17.6% → 21.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.59%	÷0.983	×1.220	—	—	21.82%
BB% (unintentional) /PA	10.42%	÷1.055	×0.700	—	×0.998	6.90%
HBP% /PA	1.30%	—	×0.870	—	×0.998	1.13%
Singles /BIP	20.28%	÷1.030	×0.920	×0.966	×0.998	17.46%
Doubles /BIP	7.08%	÷0.890	×0.840	×0.966	×0.998	6.44%
Triples /BIP	1.42%	÷0.921	×0.940	×0.966	×0.998	1.39%
Home runs /BIP	4.72%	÷1.322	×0.800	—	×0.998	2.85%

Factors used: league row TL. Park (home-season share, regressed): HR 164, 1B 106, 2B 78, 3B 84, K 97, BB 111 — 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 ×0.966.

Result: wOBA .352 → .280; ISO .192 → .144; BABIP .295 → .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).

2014 AAARound Rock Express · 34 PAwOBA .353 → .279 (−74)K% 14.7% → 18.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.71%	÷1.015	×1.290	—	—	18.70%
BB% (unintentional) /PA	11.76%	÷1.033	×0.710	—	×1.033	8.35%
HBP% /PA	0.00%	—	×0.980	—	×1.033	0.00%
Singles /BIP	8.00%	÷0.984	×0.900	—	×1.033	7.56%
Doubles /BIP	24.00%	÷1.055	×0.810	—	×1.033	19.04%
Triples /BIP	0.00%	÷0.953	×0.810	—	×1.033	0.00%
Home runs /BIP	0.00%	÷1.027	×0.780	—	×1.033	0.00%

Factors used: league row PCL. Park (home-season share, regressed): HR 105, 1B 97, 2B 111, 3B 91, K 103, BB 107 — 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 .353 → .279; ISO .200 → .157; BABIP .320 → .266. 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 — .