JB Shuck

PosLF

B/TL/L

Born1987-06-18

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	AAAWSH	475	.259/.329/.368	4	4	56	—	.220/.265/.311
2018	31	AAANew Orleans B…	190	.327/.410/.461	3	11	97	—	.266/.324/.370
2018	31	MLBMIA	142	.192/.255/.231	0	2	40	-1.4
2019	32	AAAPIT	158	.268/.342/.444	3	3	70	—	.223/.272/.378
2019	32	MLBPIT	57	.213/.339/.255	0	1	78	-0.4
2020	33	No MLB games played
2021	34	No MLB games played
2022	35	No MLB games played
2023	36	No MLB games played
2024	37	No MLB games played
2025	38	No MLB games played
2026	39	No MLB games played

Last 3 seasons WAR -1.8

Contract

No contract data on file.

Skills · percentileStatcast 2016-2019

Speed87

xwOBA11

Barrel%10

Avg EV10

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	A+	Lancaster JetHawks	—	630	556	175	30	11	1	64	55	4	18	9	315	388	414	802	99	348	9	10	359	99	—	—	—	—	—	—
2010	23	AAA	Round Rock Express	—	156	139	38	2	2	0	16	15	0	7	3	273	348	317	665	43	306	10	10	306	70	—	—	—	—	—	—
2010	23	AA	Corpus Christi Hooks	—	435	389	116	14	2	2	46	56	0	9	9	298	372	360	732	62	344	13	11	336	89	—	—	—	—	—	—
2010	23	INTL	Peoria Javelinas	—	23	20	7	1	1	0	3	1	0	2	1	350	435	500	935	150	368	4	13	414	166	—	—	—	—	—	—
2011	24	MLB	Houston Astros	—	92	81	22	2	1	0	11	7	0	2	0	272	359	321	680	49	297	8	12	316	93	-1	+0	-1	-5	+2	-0.5
2011	24	AAA	Oklahoma City RedHawks	—	419	354	105	11	7	0	56	30	4	20	11	297	399	367	766	71	323	7	13	349	103	—	—	—	—	—	—
2012	25	AAA	Oklahoma City RedHawks	—	358	315	94	11	3	0	39	20	0	12	8	298	376	352	728	54	316	6	11	331	88	—	—	—	—	—	—
2013	26	MLB	Los Angeles Angels	—	478	437	128	20	3	2	27	54	1	8	4	293	335	366	702	73	325	11	6	309	96	-2	+0	-6	-5	+10	-0.3
2014	27	MLB	Cleveland Indians	—	114	110	16	1	0	2	3	12	0	2	0	145	168	209	377	64	146	11	3	169	-4	-14	+0	+3	-6	+2	-1.4
2014	27	AAA	Salt Lake Bees	—	465	406	130	18	9	5	43	30	3	9	6	320	389	446	835	126	329	6	9	363	95	—	—	—	—	—	—
2015	28	MLB	Chicago White Sox	—	165	143	38	8	2	0	16	16	1	7	5	266	344	350	693	84	295	10	10	308	94	-1	-1	-5	-2	+4	-0.5
2016	29	MLB	Chicago White Sox	—	241	224	46	5	2	4	12	21	1	3	3	205	249	299	548	94	210	9	5	244	51	-14	-1	-4	+1	+5	-1.3
2016	29	AAA	Charlotte Knights	—	170	154	46	9	2	2	11	13	0	4	2	299	345	422	768	123	310	8	6	332	90	—	—	—	—	—	—
2017	30	AAA	Rochester Red Wings	—	475	424	110	26	4	4	41	43	3	4	1	259	329	368	697	108	277	9	9	311	56	—	—	—	—	—	—
2018	31	MLB	Miami Marlins	—	142	130	25	3	1	0	10	22	1	2	2	192	255	231	486	38	231	15	7	227	40	-10	-0	-3	-4	+3	-1.4
2018	31	AAA	New Orleans Baby Cakes	—	190	165	54	13	0	3	23	23	0	11	1	327	410	461	870	133	362	12	12	386	97	—	—	—	—	—	—
2019	32	MLB	Pittsburgh Pirates	—	57	47	10	0	1	0	8	10	1	1	1	213	339	255	595	43	270	18	14	282	78	-2	-0	-1	-2	+1	-0.4
2019	32	AAA	Indianapolis Indians	—	158	142	38	12	2	3	16	17	0	3	1	268	342	444	785	176	287	11	10	348	70	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	1289	1172	285	39	10	8	87	142	5	25	15	243	298	314	612	71	268	11	7	274	72	-43	-1	-17	-23	+28	-5.8
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2009	22	A+ MLE	Lancaster JetHawks	—	630	580	168	27	9	1	42	74	4	18	9	290	342	372	714	83	327	12	7	314	99	—	—	—	—	—	—
2010	23	AAA MLE	Round Rock Express	—	156	145	38	2	2	0	10	20	0	7	3	262	310	303	613	41	301	13	6	271	70	—	—	—	—	—	—
2010	23	AA MLE	Corpus Christi Hooks	—	435	404	115	14	2	2	31	69	0	9	9	285	336	344	680	59	338	16	7	300	89	—	—	—	—	—	—
2011	24	MLB MLE	Houston Astros	—	92	82	22	2	1	0	10	7	0	2	0	268	348	317	665	49	297	8	11	305	93	-1	+0	-1	-5	+2	-0.5
2011	24	AAA MLE	Oklahoma City RedHawks	—	419	370	107	11	7	0	40	39	4	20	11	289	365	357	721	68	318	9	10	320	103	—	—	—	—	—	—
2012	25	AAA MLE	Oklahoma City RedHawks	—	358	328	93	10	2	0	26	25	0	12	8	284	336	326	662	43	303	7	7	298	88	—	—	—	—	—	—
2013	26	MLB MLE	Los Angeles Angels	—	478	437	129	21	3	2	27	54	1	8	4	295	338	371	708	76	325	11	6	311	96	-2	+0	-6	-5	+10	-0.3
2014	27	MLB MLE	Cleveland Indians	—	114	111	16	1	0	2	2	12	0	2	0	144	159	207	366	63	146	11	2	163	-4	-14	+0	+3	-6	+2	-1.4
2014	27	AAA MLE	Salt Lake Bees	—	465	421	118	15	8	4	28	39	3	9	6	280	330	382	712	102	285	8	6	309	95	—	—	—	—	—	—
2015	28	MLB MLE	Chicago White Sox	—	165	143	38	8	2	0	16	16	1	7	5	266	344	350	693	84	295	10	10	307	94	-1	-1	-5	-2	+4	-0.5
2016	29	MLB MLE	Chicago White Sox	—	241	224	46	5	2	4	12	21	1	3	3	205	249	299	548	94	210	9	5	243	51	-14	-1	-4	+1	+5	-1.3
2016	29	AAA MLE	Charlotte Knights	—	170	159	44	8	2	2	6	15	0	4	2	277	303	390	693	113	281	9	4	301	90	—	—	—	—	—	—
2017	30	AAA MLE	Rochester Red Wings	—	475	441	97	20	4	4	24	52	3	4	1	220	265	311	576	91	232	11	5	251	56	—	—	—	—	—	—
2018	31	MLB MLE	Miami Marlins	—	142	131	25	3	1	0	9	22	1	2	2	191	248	229	477	38	231	15	6	227	40	-10	-0	-3	-4	+3	-1.4
2018	31	AAA MLE	New Orleans Baby Cakes	—	190	173	46	12	0	2	15	28	0	11	1	266	324	370	694	104	299	15	8	311	97	—	—	—	—	—	—
2019	32	MLB MLE	Pittsburgh Pirates	—	57	47	10	0	1	0	8	10	1	1	1	213	339	255	595	43	270	18	14	283	78	-2	-0	-1	-2	+1	-0.4
2019	32	AAA MLE	Indianapolis Indians	—	158	148	33	10	2	3	10	20	0	3	1	223	272	378	651	155	235	13	6	272	70	—	—	—	—	—	—
2009	22	A+ MLE	Lancaster JetHawks	—	630	580	168	27	9	1	42	74	4	18	9	290	342	372	714	83	331	12	7	314	99	—	—	—	—	—	—
2009	22	A+ RAW	Lancaster JetHawks	—	630	556	175	30	11	1	64	55	4	18	9	315	388	414	802	99	348	9	10	359	99	—	—	—	—	—	—
2010	23	AA MLE	3 teams	—	614	570	158	16	4	2	43	92	0	18	13	277	328	330	658	53	328	15	7	292	84	—	—	—	—	—	—
2010	23	AA RAW	3 teams	—	614	548	161	17	5	2	65	72	0	18	13	294	369	354	723	60	335	12	11	331	84	—	—	—	—	—	—
2011	24	AAA MLE	2 teams	—	511	452	129	13	8	0	50	46	4	22	11	285	362	350	711	64	317	9	10	317	101	—	—	—	—	—	—
2011	24	AAA RAW	2 teams	—	511	435	127	13	8	0	67	37	4	22	11	292	391	359	750	67	318	7	13	343	101	—	—	—	—	—	—
2012	25	AAA MLE	Oklahoma City RedHawks	—	358	328	93	10	2	0	26	25	0	12	8	284	336	326	662	43	305	7	7	298	88	—	—	—	—	—	—
2012	25	AAA RAW	Oklahoma City RedHawks	—	358	315	94	11	3	0	39	20	0	12	8	298	376	352	728	54	316	6	11	331	88	—	—	—	—	—	—
2013	26	MLB MLE	Los Angeles Angels	—	478	437	129	21	3	2	27	54	1	8	4	295	338	371	708	76	327	11	6	311	96	-2	+0	-6	-5	+10	-0.3
2013	26	MLB RAW	Los Angeles Angels	—	478	437	128	20	3	2	27	54	1	8	4	293	335	366	702	73	325	11	6	309	96	-2	+0	-6	-5	+10	-0.3
2014	27	AAA MLE	2 teams	—	579	532	134	16	8	6	30	51	3	11	6	252	296	346	641	94	264	9	5	280	76	—	—	—	—	—	—
2014	27	AAA RAW	2 teams	—	579	516	146	19	9	7	46	42	3	11	6	283	345	395	740	112	292	7	8	325	76	—	—	—	—	—	—
2015	28	MLB MLE	Chicago White Sox	—	165	143	38	8	2	0	16	16	1	7	5	266	344	350	693	84	295	10	10	307	94	-1	-1	-5	-2	+4	-0.5
2015	28	MLB RAW	Chicago White Sox	—	165	143	38	8	2	0	16	16	1	7	5	266	344	350	693	84	295	10	10	308	94	-1	-1	-5	-2	+4	-0.5
2016	29	MLB MLE	2 teams	—	411	383	90	13	4	6	18	36	1	7	5	235	271	337	608	102	243	9	4	267	67	-16	-1	-4	+1	+9	-1.1
2016	29	MLB RAW	2 teams	—	411	378	92	14	4	6	23	34	1	7	5	243	289	349	638	106	251	8	6	280	67	-16	-1	-4	+1	+9	-1.1
2017	30	AAA MLE	Rochester Red Wings	—	475	441	97	20	4	4	24	52	3	4	1	220	265	311	576	91	238	11	5	251	56	—	—	—	—	—	—
2017	30	AAA RAW	Rochester Red Wings	—	475	424	110	26	4	4	41	43	3	4	1	259	329	368	697	108	277	9	9	311	56	—	—	—	—	—	—
2018	31	AAA MLE	2 teams	—	332	304	72	15	1	2	24	50	1	13	3	237	295	312	607	76	276	15	7	275	72	—	—	—	—	—	—
2018	31	AAA RAW	2 teams	—	332	295	79	16	1	3	33	45	1	13	3	268	343	359	703	92	305	14	10	318	72	—	—	—	—	—	—
2019	32	AAA MLE	2 teams	—	215	195	43	10	3	3	18	30	1	4	2	221	290	349	638	128	247	14	8	275	72	—	—	—	—	—	—
2019	32	AAA RAW	2 teams	—	215	189	48	12	3	3	24	27	1	4	2	254	341	397	738	143	283	13	11	331	72	—	—	—	—	—	—
2009	22	A+ MLE	Lancaster JetHawks	—	630	579	168	27	9	1	42	74	4	18	9	290	342	373	715	83	327	12	7	314	99	—	—	—	—	—	—
2010	23	AA MLE	3 teams	—	614	566	158	16	4	2	43	92	0	18	13	279	328	332	660	53	328	15	7	292	84	—	—	—	—	—	—
2011	24	AAA MLE	2 teams	—	511	452	129	13	8	0	50	46	4	22	11	285	362	350	711	64	314	9	10	317	101	—	—	—	—	—	—
2012	25	AAA MLE	Oklahoma City RedHawks	—	358	329	93	10	2	0	26	25	0	12	8	283	336	325	661	43	303	7	7	298	88	—	—	—	—	—	—
2013	26	MLB MLE	Los Angeles Angels	—	478	447	129	21	3	2	27	54	1	8	4	289	338	362	700	74	325	11	6	311	96	—	—	—	—	—	—
2014	27	AAA MLE	2 teams	—	579	541	134	16	8	6	30	51	3	11	6	248	296	340	636	92	258	9	5	280	76	—	—	—	—	—	—
2015	28	MLB MLE	Chicago White Sox	—	165	147	38	8	2	0	16	16	1	7	5	259	344	340	684	82	295	10	10	307	94	—	—	—	—	—	—
2016	29	MLB MLE	2 teams	—	411	389	90	13	4	6	18	36	1	7	5	231	271	332	603	100	239	9	4	267	67	—	—	—	—	—	—
2017	30	AAA MLE	Rochester Red Wings	—	475	445	97	20	4	4	24	52	3	4	1	218	265	308	573	90	232	11	5	251	56	—	—	—	—	—	—
2018	31	AAA MLE	2 teams	—	332	304	72	15	1	2	24	50	1	13	3	237	295	312	607	76	270	15	7	275	72	—	—	—	—	—	—
2019	32	AAA MLE	2 teams	—	215	194	43	10	3	3	18	30	1	4	2	222	290	351	640	129	244	14	8	275	72	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1289	1172	285	39	10	8	87	142	5	25	15	243	298	314	612	71	268	11	7	274	83	-43	-1	-17	-23	+28	-5.8
/ 162G	—	A+C		—	650	591	144	20	5	4	44	72	3	13	8	244	300	315	615	71	269	11	7	274	83	-22	-1	-9	-12	+14	-2.9
Career	—	MLE		—	4768	4365	1151	169	48	26	318	526	19	124	67	264	316	342	659	79	293	11	7	291	83	-43	-1	-17	-23	+28	-5.8
/ 162G	—	MLE		—	650	595	158	23	7	4	43	72	3	17	9	266	318	348	666	82	294	11	7	291	83	-22	-1	-9	-12	+14	-2.9

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 AAAIndianapolis Indians · 158 PAwOBA .339 → .272 (−68)K% 10.8% → 12.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	10.76%	÷1.013	×1.200	—	—	12.75%
BB% (unintentional) /PA	10.13%	÷1.010	×0.690	—	×0.952	6.58%
HBP% /PA	0.00%	—	×0.940	—	×0.952	0.00%
Singles /BIP	16.80%	÷1.026	×0.930	×0.950	×0.952	13.78%
Doubles /BIP	9.60%	÷0.901	×0.830	×0.950	×0.952	8.00%
Triples /BIP	1.60%	÷1.150	×0.970	×0.950	×0.952	1.22%
Home runs /BIP	2.40%	÷0.953	×0.840	—	×0.952	2.01%

Factors used: league row IL. Park (home-season share, regressed): HR 91, 1B 105, 2B 80, 3B 130, K 103, BB 102 — 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 .339 → .272; ISO .176 → .148; BABIP .287 → .235. 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 AAANew Orleans Baby Cakes · 190 PAwOBA .379 → .311 (−68)K% 12.1% → 14.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.11%	÷1.055	×1.290	—	—	14.81%
BB% (unintentional) /PA	11.58%	÷0.990	×0.710	—	×0.962	7.98%
HBP% /PA	0.00%	—	×0.980	—	×0.962	0.00%
Singles /BIP	26.76%	÷1.054	×0.900	×0.999	×0.962	21.96%
Doubles /BIP	9.15%	÷0.906	×0.810	×0.999	×0.962	7.87%
Triples /BIP	0.00%	÷1.031	×0.810	×0.999	×0.962	0.00%
Home runs /BIP	2.11%	÷0.952	×0.780	—	×0.962	1.66%

Factors used: league row PCL. Park (home-season share, regressed): HR 90, 1B 111, 2B 81, 3B 106, K 111, BB 98 — 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 ×0.999.

Result: wOBA .379 → .311; ISO .133 → .114; BABIP .362 → .299. 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 AAARochester Red Wings · 475 PAwOBA .305 → .251 (−55)K% 9.1% → 10.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	9.05%	÷0.997	×1.200	—	—	10.90%
BB% (unintentional) /PA	8.21%	÷1.080	×0.690	—	×0.972	5.10%
HBP% /PA	0.63%	—	×0.940	—	×0.972	0.58%
Singles /BIP	19.95%	÷1.019	×0.930	×0.986	×0.972	17.46%
Doubles /BIP	6.82%	÷1.085	×0.830	×0.986	×0.972	5.01%
Triples /BIP	1.05%	÷1.085	×0.970	×0.986	×0.972	0.90%
Home runs /BIP	1.05%	÷0.956	×0.840	—	×0.972	0.90%

Factors used: league row IL. Park (home-season share, regressed): HR 91, 1B 104, 2B 117, 3B 117, K 99, BB 116 — 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 ×0.986.

Result: wOBA .305 → .251; ISO .108 → .089; BABIP .277 → .232. 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 AAACharlotte Knights · 170 PAwOBA .325 → .301 (−24)K% 7.6% → 8.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	7.65%	÷1.053	×1.200	—	—	8.72%
BB% (unintentional) /PA	5.29%	÷0.990	×0.690	—	×0.982	3.62%
HBP% /PA	0.00%	—	×0.940	—	×0.982	0.00%
Singles /BIP	23.40%	÷1.031	×0.930	×1.030	×0.982	21.34%
Doubles /BIP	6.38%	÷0.974	×0.830	×1.030	×0.982	5.50%
Triples /BIP	1.42%	÷0.926	×0.970	×1.030	×0.982	1.50%
Home runs /BIP	1.42%	÷0.950	×0.840	—	×0.982	1.23%

Factors used: league row IL. Park (home-season share, regressed): HR 90, 1B 106, 2B 95, 3B 85, K 111, 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.030.

Result: wOBA .325 → .301; ISO .123 → .118; BABIP .310 → .281. 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 AAASalt Lake Bees · 465 PAwOBA .360 → .309 (−51)K% 6.5% → 8.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	6.45%	÷0.986	×1.290	—	—	8.44%
BB% (unintentional) /PA	8.82%	÷1.043	×0.710	—	×1.003	6.02%
HBP% /PA	0.65%	—	×0.980	—	×1.003	0.63%
Singles /BIP	26.06%	÷1.013	×0.900	×0.993	×1.003	23.07%
Doubles /BIP	4.79%	÷1.005	×0.810	×0.993	×1.003	3.84%
Triples /BIP	2.39%	÷0.958	×0.810	×0.993	×1.003	2.02%
Home runs /BIP	1.33%	÷1.139	×0.780	—	×1.003	0.91%

Factors used: league row PCL. Park (home-season share, regressed): HR 128, 1B 103, 2B 101, 3B 92, K 97, BB 109 — 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 ×0.993.

Result: wOBA .360 → .309; ISO .126 → .103; BABIP .329 → .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).

2012 AAAOklahoma City RedHawks · 358 PAwOBA .324 → .298 (−26)K% 5.6% → 7.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	5.59%	÷1.018	×1.290	—	—	7.08%
BB% (unintentional) /PA	10.61%	÷1.079	×0.710	—	×1.033	7.21%
HBP% /PA	0.00%	—	×0.980	—	×1.033	0.00%
Singles /BIP	27.12%	÷1.001	×0.900	×1.045	×1.033	26.33%
Doubles /BIP	3.73%	÷0.960	×0.810	×1.045	×1.033	3.40%
Triples /BIP	1.02%	÷1.101	×0.810	×1.045	×1.033	0.81%
Home runs /BIP	0.00%	÷1.033	×0.780	—	×1.033	0.00%

Factors used: league row PCL. Park (home-season share, regressed): HR 107, 1B 100, 2B 92, 3B 120, K 104, BB 116 — 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 ×1.045.

Result: wOBA .324 → .298; ISO .054 → .049; BABIP .316 → .303. 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 AAAOklahoma City RedHawks · 419 PAwOBA .341 → .320 (−20)K% 7.2% → 9.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	7.16%	÷0.979	×1.290	—	—	9.44%
BB% (unintentional) /PA	13.13%	÷1.025	×0.710	—	×1.048	9.53%
HBP% /PA	0.95%	—	×0.980	—	×1.048	0.98%
Singles /BIP	26.85%	÷1.002	×0.900	×1.050	×1.048	26.54%
Doubles /BIP	3.40%	÷0.885	×0.810	×1.050	×1.048	3.42%
Triples /BIP	2.16%	÷0.974	×0.810	×1.050	×1.048	1.98%
Home runs /BIP	0.00%	÷0.934	×0.780	—	×1.048	0.00%

Factors used: league row PCL. Park (home-season share, regressed): HR 87, 1B 100, 2B 77, 3B 95, K 96, BB 105 — 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 ×1.050.

Result: wOBA .341 → .320; ISO .071 → .070; BABIP .323 → .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).

2010 AACorpus Christi Hooks · 435 PAwOBA .327 → .300 (−26)K% 12.9% → 15.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.87%	÷0.993	×1.220	—	—	15.82%
BB% (unintentional) /PA	10.34%	÷1.040	×0.700	—	×1.027	7.15%
HBP% /PA	0.00%	—	×0.870	—	×1.027	0.00%
Singles /BIP	29.43%	÷1.009	×0.920	×1.050	×1.027	28.93%
Doubles /BIP	4.20%	÷0.942	×0.840	×1.050	×1.027	4.04%
Triples /BIP	0.60%	÷0.900	×0.940	×1.050	×1.027	0.68%
Home runs /BIP	0.60%	÷1.030	×0.800	—	×1.027	0.48%

Factors used: league row TL. Park (home-season share, regressed): HR 106, 1B 102, 2B 88, 3B 80, K 99, BB 108 — applied at half strength. Age: age 23 vs a level average of 24.8 → +2.7% on BB/HBP/hit rates (1.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .327 → .300; ISO .062 → .059; BABIP .344 → .338. 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).