Scott Schebler

PosRF

B/TL/R

Born1990-10-06

Age (2027)36

No MLB projection yet. Career stats below are historical.

Overview

AAALAST SEASON 2022

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2019	28	AAACIN	212	.216/.276/.325	5	0	26	—	.171/.214/.251
2019	28	MLBCIN	95	.123/.253/.222	2	0	38	-0.4
2021	30	AAALAA	285	.216/.296/.400	11	3	42	—	.168/.232/.302
2021	30	MLBLAA	34	.147/.147/.235	0	0	2	-0.3
2022	31	AAA/INTL2 orgs	399	.238/.314/.357	8	5	55	—	.187/.243/.297
2023	32	No MLB games played
2024	33	No MLB games played
2025	34	No MLB games played
2026	35	No MLB games played

Last 3 seasons WAR -0.7

Contract

No contract data on file.

Scouting grades · 20-80

Power41Speed54Eye45

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)
2010	19	ROK	AZL Dodgers	—	18	17	5	0	2	0	1	5	0	1	0	294	333	529	863	235	417	28	6	369	42	—	—	—	—	—	—
2011	20	ROK	Ogden Raptors	—	315	295	84	17	8	13	13	97	5	1	1	285	326	529	855	244	380	31	4	369	40	—	—	—	—	—	—
2012	21	A	Great Lakes Loons	—	560	515	134	32	8	6	30	99	10	17	11	260	314	388	702	128	310	18	5	311	54	—	—	—	—	—	—
2013	22	A+	Rancho Cucamonga Quakes	—	534	477	141	29	13	27	35	140	15	16	5	296	362	581	943	285	364	26	7	403	101	—	—	—	—	—	—
2014	23	AA	Chattanooga Lookouts	—	560	489	137	23	14	28	45	110	22	10	4	280	367	556	923	276	308	20	8	398	101	—	—	—	—	—	—
2014	23	INTL	Glendale Desert Dogs	—	91	84	26	3	0	5	5	20	1	0	0	310	356	524	879	214	350	22	5	382	145	—	—	—	—	—	—
2015	24	MLB	Los Angeles Dodgers	—	40	36	9	0	0	3	3	13	1	2	1	250	325	500	825	250	300	32	8	363	117	+1	+0	+1	-6	+1	-0.3
2015	24	AAA	Oklahoma City Dodgers	—	485	432	104	16	9	13	40	93	12	15	2	241	322	410	732	169	278	19	8	327	68	—	—	—	—	—	—
2016	25	MLB	Cincinnati Reds	—	282	257	68	12	2	9	19	59	6	2	4	265	330	432	762	167	312	21	7	340	108	+3	-1	-2	-6	+6	-0.1
2016	25	AAA	Louisville Bats	—	319	289	90	18	8	13	19	59	9	2	0	311	372	564	936	253	352	18	6	405	120	—	—	—	—	—	—
2017	26	MLB	Cincinnati Reds	—	531	473	110	25	2	30	39	125	14	5	3	233	310	484	794	252	248	24	7	345	109	+6	-0	-2	-6	+12	1.0
2018	27	MLB	Cincinnati Reds	—	430	380	97	19	0	17	39	99	9	4	2	255	339	439	778	184	301	23	9	346	114	+7	+0	-4	-5	+9	0.7
2018	27	AAA	Louisville Bats	—	31	26	6	1	0	1	5	6	0	0	0	231	355	385	739	154	263	19	16	338	68	—	—	—	—	—	—
2018	27	AA	Pensacola Blue Wahoos	—	28	26	4	1	0	0	2	4	0	0	0	154	214	192	407	38	182	14	7	193	-10	—	—	—	—	—	—
2019	28	MLB	Cincinnati Reds	—	95	81	10	2	0	2	14	27	0	0	1	123	253	222	475	99	154	28	15	231	38	-7	-0	+0	+1	+2	-0.4
2019	28	AAA	Louisville Bats	—	212	194	42	6	0	5	12	51	4	0	1	216	276	325	601	108	264	24	6	271	26	—	—	—	—	—	—
2021	30	MLB	Los Angeles Angels	—	34	34	5	3	0	0	0	17	0	0	0	147	147	235	382	88	294	50	0	167	2	-4	+0	-0	+1	+1	-0.3
2021	30	AAA	Salt Lake Bees	—	285	255	55	14	0	11	17	86	12	3	1	216	296	400	696	184	277	30	6	311	42	—	—	—	—	—	—
2022	31	AAA	Albuquerque Isotopes	—	238	214	52	5	5	7	17	69	4	3	0	243	311	411	722	168	319	29	7	317	45	—	—	—	—	—	—
2022	31	INTL	Naranjeros de Hermosillo	—	161	139	32	3	0	1	13	40	5	2	2	230	318	273	592	43	304	25	8	273	71	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	1412	1261	299	61	4	61	114	340	30	13	11	237	315	437	752	200	275	24	8	333	111	+19	-2	-8	-21	+31	2.0
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2010	19	ROK MLE	AZL Dodgers	—	18	17	3	0	1	0	1	7	0	1	0	176	222	294	516	118	323	39	6	231	42	—	—	—	—	—	—
2011	20	ROK MLE	Ogden Raptors	—	315	301	54	10	5	8	7	140	5	1	1	179	211	326	536	146	289	44	2	227	40	—	—	—	—	—	—
2012	21	A MLE	Great Lakes Loons	—	560	527	114	24	7	4	18	135	10	17	11	216	256	311	567	95	277	24	3	248	54	—	—	—	—	—	—
2013	22	A+ MLE	Rancho Cucamonga Quakes	—	534	486	115	21	9	23	26	184	15	16	5	237	296	459	755	222	315	34	5	317	101	—	—	—	—	—	—
2014	23	AA MLE	Chattanooga Lookouts	—	560	507	119	20	11	22	27	138	22	10	4	235	302	448	750	213	270	25	5	318	101	—	—	—	—	—	—
2015	24	MLB MLE	Los Angeles Dodgers	—	40	37	9	0	0	3	2	13	1	2	1	243	300	486	786	243	300	32	5	342	117	+1	+0	+1	-6	+1	-0.3
2015	24	AAA MLE	Oklahoma City Dodgers	—	485	451	93	14	8	12	21	122	12	15	2	206	260	353	613	146	252	25	4	269	68	—	—	—	—	—	—
2016	25	MLB MLE	Cincinnati Reds	—	282	259	67	12	2	8	17	59	6	2	4	259	319	413	732	154	312	21	6	329	108	+3	-1	-2	-6	+6	-0.1
2016	25	AAA MLE	Louisville Bats	—	319	297	80	14	6	12	11	72	9	2	0	269	315	478	794	209	314	23	3	345	120	—	—	—	—	—	—
2017	26	MLB MLE	Cincinnati Reds	—	531	478	108	25	2	28	34	125	14	5	3	226	297	462	759	236	248	24	6	329	109	+6	-0	-2	-6	+12	1.0
2018	27	MLB MLE	Cincinnati Reds	—	430	381	96	19	0	16	38	99	9	4	2	252	334	428	762	176	301	23	9	337	114	+7	+0	-4	-5	+9	0.7
2018	27	AAA MLE	Louisville Bats	—	31	27	6	1	0	1	4	7	0	0	0	222	323	370	693	148	233	23	13	269	68	—	—	—	—	—	—
2018	27	AA MLE	Pensacola Blue Wahoos	—	28	27	4	1	0	0	1	5	0	0	0	148	179	185	364	37	157	18	4	153	-10	—	—	—	—	—	—
2019	28	MLB MLE	Cincinnati Reds	—	95	81	10	2	0	2	14	27	0	0	1	123	253	222	475	99	154	28	15	225	38	-7	-0	+0	+1	+2	-0.4
2019	28	AAA MLE	Louisville Bats	—	212	199	34	4	0	4	7	64	4	0	1	171	214	251	466	80	218	30	3	206	26	—	—	—	—	—	—
2021	30	MLB MLE	Los Angeles Angels	—	34	34	5	3	0	0	0	17	0	0	0	147	147	235	382	88	294	50	0	171	2	-4	+0	-0	+1	+1	-0.3
2021	30	AAA MLE	Salt Lake Bees	—	285	262	44	11	0	8	10	105	12	3	1	168	232	302	534	134	232	37	4	230	42	—	—	—	—	—	—
2022	31	AAA MLE	Albuquerque Isotopes	—	238	219	41	4	4	4	12	83	4	3	0	187	243	297	539	110	261	35	5	234	45	—	—	—	—	—	—
2010	19	ROK MLE	AZL Dodgers	—	18	17	3	0	1	0	1	7	0	1	0	176	222	294	516	118	300	39	6	231	42	—	—	—	—	—	—
2010	19	ROK RAW	AZL Dodgers	—	18	17	5	0	2	0	1	5	0	1	0	294	333	529	863	235	417	28	6	369	42	—	—	—	—	—	—
2011	20	ROK MLE	Ogden Raptors	—	315	301	54	10	5	8	7	140	5	1	1	179	211	326	536	146	297	44	2	227	40	—	—	—	—	—	—
2011	20	ROK RAW	Ogden Raptors	—	315	295	84	17	8	13	13	97	5	1	1	285	326	529	855	244	380	31	4	369	40	—	—	—	—	—	—
2012	21	A MLE	Great Lakes Loons	—	560	527	114	24	7	4	18	135	10	17	11	216	256	311	567	95	281	24	3	248	54	—	—	—	—	—	—
2012	21	A RAW	Great Lakes Loons	—	560	515	134	32	8	6	30	99	10	17	11	260	314	388	702	128	310	18	5	311	54	—	—	—	—	—	—
2013	22	A+ MLE	Rancho Cucamonga Quakes	—	534	486	115	21	9	23	26	184	15	16	5	237	296	459	755	222	326	34	5	317	101	—	—	—	—	—	—
2013	22	A+ RAW	Rancho Cucamonga Quakes	—	534	477	141	29	13	27	35	140	15	16	5	296	362	581	943	285	364	26	7	403	101	—	—	—	—	—	—
2014	23	AA MLE	2 teams	—	651	591	136	23	12	25	32	161	23	10	4	230	296	437	732	206	271	25	5	318	101	—	—	—	—	—	—
2014	23	AA RAW	2 teams	—	651	573	163	26	14	33	50	130	23	10	4	284	365	551	917	267	314	20	8	396	101	—	—	—	—	—	—
2015	24	AAA MLE	2 teams	—	525	488	102	14	8	15	23	135	13	17	3	209	263	363	626	154	257	26	4	275	72	—	—	—	—	—	—
2015	24	AAA RAW	2 teams	—	525	468	113	16	9	16	43	106	13	17	3	241	323	417	739	175	280	20	8	330	72	—	—	—	—	—	—
2016	25	AAA MLE	2 teams	—	601	556	148	26	8	21	28	131	15	4	4	266	319	455	774	189	313	22	5	337	114	—	—	—	—	—	—
2016	25	AAA RAW	2 teams	—	601	546	158	30	10	22	38	118	15	4	4	289	352	502	854	212	333	20	6	374	114	—	—	—	—	—	—
2017	26	MLB MLE	Cincinnati Reds	—	531	478	108	25	2	28	34	125	14	5	3	226	297	462	759	236	242	24	6	329	109	+6	-0	-2	-6	+12	1.0
2017	26	MLB RAW	Cincinnati Reds	—	531	473	110	25	2	30	39	125	14	5	3	233	310	484	794	252	248	24	7	345	109	+6	-0	-2	-6	+12	1.0
2018	27	MLB MLE	3 teams	—	489	435	105	21	0	17	43	111	9	4	2	241	322	407	729	166	285	23	9	322	104	+2	+0	-4	-5	+11	0.4
2018	27	MLB RAW	3 teams	—	489	432	107	21	0	18	46	109	9	4	2	248	333	421	754	174	290	22	9	337	104	+2	+0	-4	-5	+11	0.4
2019	28	AAA MLE	2 teams	—	307	280	43	6	0	6	21	91	4	0	2	154	223	239	462	86	200	30	7	212	30	—	—	—	—	—	—
2019	28	AAA RAW	2 teams	—	307	275	52	8	0	7	26	78	4	0	2	189	269	295	563	105	234	25	8	259	30	—	—	—	—	—	—
2021	30	AAA MLE	2 teams	—	319	296	49	14	0	8	10	122	12	3	1	166	223	294	517	128	246	38	3	224	38	—	—	—	—	—	—
2021	30	AAA RAW	2 teams	—	319	289	60	17	0	11	17	103	12	3	1	208	280	381	660	173	278	32	5	296	38	—	—	—	—	—	—
2022	31	AAA MLE	2 teams	—	399	363	67	6	6	7	20	140	9	5	2	185	245	292	537	107	269	35	5	234	45	—	—	—	—	—	—
2022	31	AAA RAW	2 teams	—	399	353	84	8	5	8	30	109	9	5	2	238	314	357	671	119	313	27	8	300	45	—	—	—	—	—	—
2010	19	ROK MLE	AZL Dodgers	—	18	17	3	0	1	0	1	7	0	1	0	176	222	294	516	118	323	39	6	231	42	—	—	—	—	—	—
2011	20	ROK MLE	Ogden Raptors	—	315	300	54	10	5	8	7	140	5	1	1	180	211	327	538	147	289	44	2	227	40	—	—	—	—	—	—
2012	21	A MLE	Great Lakes Loons	—	560	527	114	24	7	4	18	135	10	17	11	216	256	311	567	95	277	24	3	248	54	—	—	—	—	—	—
2013	22	A+ MLE	Rancho Cucamonga Quakes	—	534	488	115	21	9	23	26	184	15	16	5	236	296	457	753	221	315	34	5	317	101	—	—	—	—	—	—
2014	23	AA MLE	2 teams	—	651	591	136	23	12	25	32	161	23	10	4	230	296	437	732	206	270	25	5	318	101	—	—	—	—	—	—
2015	24	AAA MLE	2 teams	—	525	484	102	14	8	15	23	135	13	17	3	211	263	366	629	155	256	26	4	275	72	—	—	—	—	—	—
2016	25	AAA MLE	2 teams	—	601	553	148	26	8	21	28	131	15	4	4	268	319	458	776	190	313	22	5	337	114	—	—	—	—	—	—
2017	26	MLB MLE	Cincinnati Reds	—	531	478	108	25	2	28	34	125	14	5	3	226	297	462	759	236	248	24	6	329	109	—	—	—	—	—	—
2018	27	MLB MLE	3 teams	—	489	434	105	21	0	17	43	111	9	4	2	242	322	408	730	166	288	23	9	322	104	—	—	—	—	—	—
2019	28	AAA MLE	2 teams	—	307	279	43	6	0	6	21	91	4	0	2	154	223	240	463	86	198	30	7	212	30	—	—	—	—	—	—
2021	30	AAA MLE	2 teams	—	319	294	49	14	0	8	10	122	12	3	1	167	223	296	519	129	239	38	3	224	38	—	—	—	—	—	—
2022	31	AAA MLE	2 teams	—	399	367	67	6	6	7	20	140	9	5	2	183	245	289	534	106	261	35	5	234	45	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1412	1261	299	61	4	61	114	340	30	13	11	237	315	437	752	200	275	24	8	333	79	+19	-2	-8	-21	+31	2.0
/ 162G	—	A+C		—	650	580	138	28	2	28	52	157	14	6	5	238	315	438	753	200	276	24	8	333	79	+9	-1	-4	-10	+14	0.9
Career	—	MLE		—	5249	4818	1044	190	58	162	263	1482	129	83	38	217	276	381	657	164	275	28	5	286	79	+19	-2	-8	-21	+31	2.0
/ 162G	—	MLE		—	650	597	130	24	7	20	33	184	16	10	5	218	278	382	659	164	277	28	5	286	79	+9	-1	-4	-10	+14	0.9

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.

2022 AAAAlbuquerque Isotopes · 238 PAwOBA .313 → .234 (−79)K% 29.0% → 35.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	28.99%	÷0.995	×1.200	—	—	34.95%
BB% (unintentional) /PA	7.14%	÷0.945	×0.690	—	×0.952	4.97%
HBP% /PA	1.68%	—	×0.940	—	×0.952	1.50%
Singles /BIP	24.14%	÷1.047	×0.930	×1.004	×0.952	20.49%
Doubles /BIP	3.45%	÷1.038	×0.830	×1.004	×0.952	2.63%
Triples /BIP	3.45%	÷1.150	×0.970	×1.004	×0.952	2.78%
Home runs /BIP	4.83%	÷1.061	×0.700	—	×0.952	3.03%

Factors used: league row International League. Park (home-season share, regressed): HR 112, 1B 109, 2B 108, 3B 130, K 99, BB 89 — 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 ×1.004.

Result: wOBA .313 → .234; ISO .168 → .113; BABIP .319 → .261. 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).

2021 AAASalt Lake Bees · 285 PAwOBA .304 → .230 (−74)K% 30.2% → 36.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	30.18%	÷0.982	×1.200	—	—	36.86%
BB% (unintentional) /PA	5.96%	÷1.090	×0.690	—	×0.962	3.63%
HBP% /PA	4.21%	—	×0.940	—	×0.962	3.81%
Singles /BIP	17.75%	÷1.032	×0.930	×1.009	×0.962	15.53%
Doubles /BIP	8.28%	÷1.002	×0.830	×1.009	×0.962	6.66%
Triples /BIP	0.00%	÷1.150	×0.920	×1.009	×0.962	0.00%
Home runs /BIP	6.51%	÷0.907	×0.700	—	×0.962	4.83%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 81, 1B 106, 2B 100, 3B 130, K 96, BB 118 — 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 ×1.009.

Result: wOBA .304 → .230; ISO .184 → .132; 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).

2019 AAALouisville Bats · 212 PAwOBA .264 → .206 (−58)K% 24.1% → 30.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.06%	÷0.960	×1.200	—	—	30.06%
BB% (unintentional) /PA	5.19%	÷1.151	×0.690	—	×0.982	3.06%
HBP% /PA	1.89%	—	×0.940	—	×0.982	1.74%
Singles /BIP	21.68%	÷1.018	×0.930	×0.950	×0.982	18.48%
Doubles /BIP	4.20%	÷1.082	×0.830	×0.950	×0.982	3.00%
Triples /BIP	0.00%	÷1.150	×0.970	×0.950	×0.982	0.00%
Home runs /BIP	3.50%	÷0.957	×0.840	—	×0.982	3.01%

Factors used: league row IL. Park (home-season share, regressed): HR 91, 1B 104, 2B 116, 3B 130, K 92, BB 130 — 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 ×0.950.

Result: wOBA .264 → .206; ISO .108 → .086; BABIP .264 → .218. 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 AAALouisville Bats · 31 PAwOBA .330 → .269 (−60)K% 19.4% → 24.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.35%	÷0.962	×1.200	—	—	24.13%
BB% (unintentional) /PA	16.13%	÷0.967	×0.690	—	×0.992	11.42%
HBP% /PA	0.00%	—	×0.940	—	×0.992	0.00%
Singles /BIP	20.00%	÷1.011	×0.930	—	×0.992	18.25%
Doubles /BIP	5.00%	÷1.018	×0.830	—	×0.992	4.05%
Triples /BIP	0.00%	÷1.001	×0.970	—	×0.992	0.00%
Home runs /BIP	5.00%	÷0.988	×0.840	—	×0.992	4.22%

Factors used: league row IL. Park (home-season share, regressed): HR 98, 1B 102, 2B 104, 3B 100, K 92, BB 93 — 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 .330 → .269; ISO .154 → .128; BABIP .263 → .233. 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 AAPensacola Blue Wahoos · 28 PAwOBA .188 → .153 (−35)K% 14.3% → 16.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.29%	÷1.030	×1.220	—	—	16.91%
BB% (unintentional) /PA	7.14%	÷0.967	×0.680	—	×0.968	4.86%
HBP% /PA	0.00%	—	×0.840	—	×0.968	0.00%
Singles /BIP	13.64%	÷1.023	×0.920	—	×0.968	11.87%
Doubles /BIP	4.55%	÷1.039	×0.910	—	×0.968	3.85%
Triples /BIP	0.00%	÷1.006	×0.880	—	×0.968	0.00%
Home runs /BIP	0.00%	÷0.909	×0.800	—	×0.968	0.00%

Factors used: league row SL. Park (home-season share, regressed): HR 82, 1B 105, 2B 108, 3B 101, K 106, BB 93 — applied at half strength. Age: age 28 vs a level average of 24.8 → −3.2% on BB/HBP/hit rates (3.2 yr older than average).

Result: wOBA .188 → .153; ISO .038 → .032; BABIP .182 → .157. 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 AAALouisville Bats · 319 PAwOBA .393 → .345 (−48)K% 18.5% → 22.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.50%	÷0.984	×1.200	—	—	22.55%
BB% (unintentional) /PA	5.02%	÷0.978	×0.690	—	×1.018	3.60%
HBP% /PA	2.82%	—	×0.940	—	×1.018	2.70%
Singles /BIP	22.17%	÷0.952	×0.930	×0.956	×1.018	21.08%
Doubles /BIP	7.83%	÷1.053	×0.830	×0.956	×1.018	6.00%
Triples /BIP	3.48%	÷1.150	×0.970	×0.956	×1.018	2.85%
Home runs /BIP	5.65%	÷0.882	×0.840	—	×1.018	5.48%

Factors used: league row IL. Park (home-season share, regressed): HR 76, 1B 90, 2B 111, 3B 130, K 97, BB 96 — 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 ×0.956.

Result: wOBA .393 → .345; ISO .253 → .221; BABIP .352 → .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).

2015 AAAOklahoma City Dodgers · 485 PAwOBA .313 → .269 (−44)K% 19.2% → 25.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.18%	÷0.984	×1.290	—	—	25.13%
BB% (unintentional) /PA	6.60%	÷1.095	×0.710	—	×1.033	4.42%
HBP% /PA	2.47%	—	×0.980	—	×1.033	2.50%
Singles /BIP	19.47%	÷1.028	×0.900	×1.012	×1.033	17.82%
Doubles /BIP	4.72%	÷0.965	×0.810	×1.012	×1.033	4.14%
Triples /BIP	2.65%	÷0.941	×0.810	×1.012	×1.033	2.39%
Home runs /BIP	3.83%	÷0.866	×0.780	—	×1.033	3.57%

Factors used: league row PCL. Park (home-season share, regressed): HR 73, 1B 106, 2B 93, 3B 88, K 97, BB 119 — 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 ×1.012.

Result: wOBA .313 → .269; ISO .169 → .150; BABIP .278 → .252. 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 AAChattanooga Lookouts · 560 PAwOBA .387 → .318 (−70)K% 19.6% → 24.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.64%	÷0.972	×1.220	—	—	24.67%
BB% (unintentional) /PA	7.32%	÷1.036	×0.680	—	×1.012	4.86%
HBP% /PA	3.93%	—	×0.840	—	×1.012	3.34%
Singles /BIP	19.00%	÷1.014	×0.920	×1.000	×1.012	17.43%
Doubles /BIP	6.07%	÷1.053	×0.910	×1.000	×1.012	5.31%
Triples /BIP	3.69%	÷1.150	×0.880	×1.000	×1.012	2.86%
Home runs /BIP	7.39%	÷1.026	×0.800	—	×1.012	5.83%

Factors used: league row SL. Park (home-season share, regressed): HR 105, 1B 103, 2B 111, 3B 130, K 94, BB 107 — applied at half strength. Age: age 24 vs a level average of 24.8 → +1.2% on BB/HBP/hit rates (0.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.000.

Result: wOBA .387 → .318; ISO .276 → .219; BABIP .308 → .270. 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 — .