Steve Clevenger

PosC

B/TL/R

Born1986-04-05

Age (2027)41

No MLB projection yet. Career stats below are historical.

Overview

MLBLAST SEASON 2016

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2014	28	AAABAL	254	.305/.372/.389	2	1	86	—	.274/.320/.338
2014	28	MLBBAL	97	.225/.289/.337	0	0	73	0.6
2015	29	AAABAL	301	.305/.383/.393	4	0	92	—	.280/.329/.349
2015	29	MLBBAL	105	.287/.314/.426	2	0	99	1.0
2016	30	MLBSEA	76	.221/.303/.309	1	0	79	-0.1
2017	31	No MLB games played
2018	32	No MLB games played
2019	33	No MLB games played
2020	34	No MLB games played
2021	35	No MLB games played
2022	36	No MLB games played
2023	37	No MLB games played
2024	38	No MLB games played
2025	39	No MLB games played
2026	40	No MLB games played

Last 3 seasons WAR 1.5

Contract

No contract data on file.

Skills · percentileStatcast 2015-2016

Avg EV52

xwOBA29

Barrel%10

Speed10

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. Catcher framing: only 2027 Statcast framing is modeled (Baseball Savant server-caches the leaderboard to the current season); prior-year framing is unmodeled — projections for established framers may run 1-3 WAR low.

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	21	A+	Daytona Cubs	—	183	164	53	8	1	2	13	5	1	0	0	323	376	421	797	98	317	3	7	349	119	—	—	—	—	—	—
2008	22	AA	Tennessee Smokies	—	104	89	22	5	1	1	10	10	0	0	0	247	323	360	683	112	259	10	10	295	79	—	—	—	—	—	—
2008	22	A+	Daytona Cubs	—	329	284	89	20	0	2	39	41	1	7	3	313	398	405	803	92	355	12	12	360	105	—	—	—	—	—	—
2009	23	AAA	Iowa Cubs	—	251	230	61	12	1	0	15	31	1	4	3	265	313	326	639	61	302	12	6	286	63	—	—	—	—	—	—
2009	23	AA	Tennessee Smokies	—	89	77	28	4	3	1	10	8	1	0	0	364	443	532	976	169	397	9	11	426	149	—	—	—	—	—	—
2010	24	AA	Tennessee Smokies	—	294	271	86	24	0	5	20	28	2	0	6	317	369	461	830	144	339	10	7	368	103	—	—	—	—	—	—
2011	25	AAA	Iowa Cubs	—	97	86	35	3	1	3	9	7	0	1	0	407	463	570	1.033	163	410	7	9	447	166	—	—	—	—	—	—
2011	25	AA	Tennessee Smokies	—	351	312	92	27	3	5	35	39	0	1	0	295	366	449	815	154	321	11	10	359	92	—	—	—	—	—	—
2011	25	INTL	Leones del Escogido	—	42	35	5	1	0	1	7	7	0	0	0	143	286	257	543	114	148	17	17	261	63	—	—	—	—	—	—
2012	26	MLB	Chicago Cubs	—	215	199	40	12	0	1	16	39	0	0	1	201	260	276	537	75	245	18	7	247	52	-12	-0	+4	+4	+5	0.1
2012	26	AAA	Iowa Cubs	—	15	13	6	2	0	1	2	0	0	0	0	462	533	846	1.379	385	417	0	13	584	222	—	—	—	—	—	—
2013	27	MLB	Baltimore Orioles	—	24	23	5	1	0	0	1	5	0	0	0	217	250	261	511	43	278	21	4	233	44	-2	+0	+1	+3	+1	0.3
2013	27	AAA	Norfolk Tides	—	143	123	40	7	0	5	19	16	0	0	0	325	415	504	920	179	340	11	13	406	126	—	—	—	—	—	—
2014	28	MLB	Baltimore Orioles	—	97	89	20	8	1	0	8	19	0	0	0	225	289	337	626	112	286	20	8	283	73	-3	+0	+1	+6	+2	0.6
2014	28	AAA	Norfolk Tides	—	254	226	69	13	0	2	23	30	1	1	0	305	372	389	761	84	338	12	9	341	86	—	—	—	—	—	—
2015	29	MLB	Baltimore Orioles	—	105	101	29	4	2	2	4	13	0	0	0	287	314	426	740	139	314	12	4	327	99	-0	+0	+0	+7	+2	1.0
2015	29	AAA	Norfolk Tides	—	301	262	80	11	0	4	32	37	1	0	1	305	383	393	776	88	335	12	11	347	92	—	—	—	—	—	—
2016	30	MLB	Seattle Mariners	—	76	68	15	3	0	1	8	14	0	0	0	221	303	309	611	88	264	18	11	282	79	-2	+0	-2	+1	+2	-0.1
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	517	480	109	28	3	4	37	90	0	0	1	227	282	323	605	96	272	17	7	274	72	-17	-0	+4	+22	+11	2.0
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2007	21	A+ MLE	Daytona Cubs	—	183	167	55	9	1	2	10	7	1	0	0	329	371	431	802	102	316	4	5	344	119	—	—	—	—	—	—
2008	22	AA MLE	Tennessee Smokies	—	104	93	23	5	1	1	6	12	0	0	0	247	293	355	648	108	255	12	6	285	79	—	—	—	—	—	—
2008	22	A+ MLE	Daytona Cubs	—	329	296	86	20	0	2	27	58	1	7	3	291	352	378	730	88	343	18	8	324	105	—	—	—	—	—	—
2009	23	AAA MLE	Iowa Cubs	—	251	234	60	11	1	0	11	40	1	4	3	256	293	312	605	56	293	16	4	262	63	—	—	—	—	—	—
2009	23	AA MLE	Tennessee Smokies	—	89	81	28	4	3	1	6	10	1	0	0	346	398	506	904	160	384	11	7	389	149	—	—	—	—	—	—
2010	24	AA MLE	Tennessee Smokies	—	294	280	82	21	0	4	11	36	2	0	6	293	324	411	735	118	321	12	4	320	103	—	—	—	—	—	—
2011	25	AAA MLE	Iowa Cubs	—	97	89	35	3	1	3	6	9	0	1	0	393	432	551	982	157	395	9	6	413	166	—	—	—	—	—	—
2011	25	AA MLE	Tennessee Smokies	—	351	326	85	26	2	4	21	50	0	1	0	261	305	390	695	129	290	14	6	304	92	—	—	—	—	—	—
2012	26	MLB MLE	Chicago Cubs	—	215	199	40	12	0	1	16	39	0	0	1	201	260	276	537	75	245	18	7	245	52	-12	-0	+4	+4	+5	0.1
2012	26	AAA MLE	Iowa Cubs	—	15	13	6	2	0	1	2	0	0	0	0	462	533	846	1.379	385	351	0	13	496	222	—	—	—	—	—	—
2013	27	MLB MLE	Baltimore Orioles	—	24	23	5	1	0	0	1	5	0	0	0	217	250	261	511	43	278	21	4	233	44	-2	+0	+1	+3	+1	0.3
2013	27	AAA MLE	Norfolk Tides	—	143	129	38	6	0	4	13	20	0	0	0	295	359	434	793	140	324	14	9	355	126	—	—	—	—	—	—
2014	28	MLB MLE	Baltimore Orioles	—	97	90	20	8	1	0	7	19	0	0	0	222	278	333	612	111	286	20	7	276	73	-3	+0	+1	+6	+2	0.6
2014	28	AAA MLE	Norfolk Tides	—	254	234	64	12	0	1	15	35	1	1	0	274	320	338	658	64	307	14	6	296	86	—	—	—	—	—	—
2015	29	MLB MLE	Baltimore Orioles	—	105	102	29	4	2	2	3	13	0	0	0	284	305	422	726	137	314	12	3	315	99	-0	+0	+0	+7	+2	1.0
2015	29	AAA MLE	Norfolk Tides	—	301	275	77	10	0	3	19	46	1	0	1	280	329	349	678	69	312	15	6	304	92	—	—	—	—	—	—
2016	30	MLB MLE	Seattle Mariners	—	76	68	15	3	0	1	8	14	0	0	0	221	303	309	611	88	264	18	11	285	79	-2	+0	-2	+1	+2	-0.1
2007	21	A+ MLE	Daytona Cubs	—	183	167	55	9	1	2	10	7	1	0	0	329	371	431	802	102	327	4	5	344	119	—	—	—	—	—	—
2007	21	A+ RAW	Daytona Cubs	—	183	164	53	8	1	2	13	5	1	0	0	323	376	421	797	98	317	3	7	349	119	—	—	—	—	—	—
2008	22	A+ MLE	2 teams	—	433	388	109	25	1	3	34	70	1	7	3	281	340	374	714	93	329	16	8	315	99	—	—	—	—	—	—
2008	22	A+ RAW	2 teams	—	433	373	111	25	1	3	49	51	1	7	3	298	381	394	775	97	331	12	11	344	99	—	—	—	—	—	—
2009	23	AAA MLE	2 teams	—	340	314	88	15	4	1	18	50	2	4	3	280	323	363	686	83	327	15	5	295	86	—	—	—	—	—	—
2009	23	AAA RAW	2 teams	—	340	307	89	16	4	1	25	39	2	4	3	290	347	378	725	88	326	11	7	322	86	—	—	—	—	—	—
2010	24	AA MLE	Tennessee Smokies	—	294	280	82	21	0	4	11	36	2	0	6	293	324	411	735	118	324	12	4	320	103	—	—	—	—	—	—
2010	24	AA RAW	Tennessee Smokies	—	294	271	86	24	0	5	20	28	2	0	6	317	369	461	830	144	339	10	7	368	103	—	—	—	—	—	—
2011	25	AA MLE	3 teams	—	490	454	132	31	4	8	30	65	0	2	0	291	335	430	764	139	321	13	6	328	108	—	—	—	—	—	—
2011	25	AA RAW	3 teams	—	490	433	132	31	4	9	51	53	0	2	0	305	378	457	835	152	327	11	10	368	108	—	—	—	—	—	—
2012	26	MLB MLE	2 teams	—	230	212	45	13	0	2	18	39	0	0	1	212	274	302	576	90	251	17	8	261	63	-10	-0	+4	+4	+5	0.3
2012	26	MLB RAW	2 teams	—	230	212	46	14	0	2	18	39	0	0	1	217	278	311	590	94	257	17	8	269	63	-10	-0	+4	+4	+5	0.3
2013	27	AAA MLE	2 teams	—	167	152	43	7	0	4	14	25	0	0	0	283	343	408	751	125	315	15	8	337	115	—	—	—	—	—	—
2013	27	AAA RAW	2 teams	—	167	146	45	8	0	5	20	21	0	0	0	308	392	466	857	158	331	13	12	381	115	—	—	—	—	—	—
2014	28	AAA MLE	2 teams	—	351	324	84	21	1	1	22	54	1	1	0	259	308	340	648	80	304	15	6	291	83	—	—	—	—	—	—
2014	28	AAA RAW	2 teams	—	351	315	89	21	1	2	31	49	1	1	0	283	349	375	723	92	325	14	9	325	83	—	—	—	—	—	—
2015	29	AAA MLE	2 teams	—	406	377	106	14	2	5	22	59	1	0	1	281	323	369	691	88	317	15	5	307	94	—	—	—	—	—	—
2015	29	AAA RAW	2 teams	—	406	363	109	15	2	6	36	50	1	0	1	300	365	402	767	102	329	12	9	342	94	—	—	—	—	—	—
2016	30	MLB MLE	Seattle Mariners	—	76	68	15	3	0	1	8	14	0	0	0	221	303	309	611	88	264	18	11	285	79	-2	+0	-2	+1	+2	-0.1
2016	30	MLB RAW	Seattle Mariners	—	76	68	15	3	0	1	8	14	0	0	0	221	303	309	611	88	264	18	11	282	79	-2	+0	-2	+1	+2	-0.1
2007	21	A+ MLE	Daytona Cubs	—	183	170	55	9	1	2	10	7	1	0	0	324	371	424	794	100	316	4	5	344	119	—	—	—	—	—	—
2008	22	A+ MLE	2 teams	—	433	395	109	25	1	3	34	70	1	7	3	276	340	367	708	91	322	16	8	315	99	—	—	—	—	—	—
2009	23	AAA MLE	2 teams	—	340	317	88	15	4	1	18	50	2	4	3	278	323	360	683	82	317	15	5	295	86	—	—	—	—	—	—
2010	24	AA MLE	Tennessee Smokies	—	294	279	82	21	0	4	11	36	2	0	6	294	324	412	736	118	321	12	4	320	103	—	—	—	—	—	—
2011	25	AA MLE	3 teams	—	490	457	132	31	4	8	30	65	0	2	0	289	335	427	761	138	313	13	6	328	108	—	—	—	—	—	—
2012	26	MLB MLE	2 teams	—	230	210	45	13	0	2	18	39	0	0	1	214	274	305	579	90	252	17	8	261	63	—	—	—	—	—	—
2013	27	AAA MLE	2 teams	—	167	151	43	7	0	4	14	25	0	0	0	285	343	411	754	126	317	15	8	337	115	—	—	—	—	—	—
2014	28	AAA MLE	2 teams	—	351	325	84	21	1	1	22	54	1	1	0	258	308	338	647	80	301	15	6	291	83	—	—	—	—	—	—
2015	29	AAA MLE	2 teams	—	406	380	106	14	2	5	22	59	1	0	1	279	323	366	688	87	313	15	5	307	94	—	—	—	—	—	—
2016	30	MLB MLE	Seattle Mariners	—	76	68	15	3	0	1	8	14	0	0	0	221	303	309	611	88	264	18	11	285	79	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	517	480	109	28	3	4	37	90	0	0	1	227	282	323	605	96	272	17	7	274	96	-17	-0	+4	+22	+11	2.0
/ 162G	—	A+C		—	650	603	137	35	4	5	47	113	0	0	1	227	283	323	606	96	272	17	7	274	96	-22	-1	+6	+28	+14	2.6
Career	—	MLE		—	2970	2736	759	159	13	31	187	419	8	14	14	277	325	379	705	102	314	14	6	309	96	-17	-0	+4	+22	+11	2.0
/ 162G	—	MLE		—	650	599	167	35	3	7	41	92	2	3	3	279	328	382	710	104	316	14	6	309	96	-22	-1	+6	+28	+14	2.6

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.

2015 AAANorfolk Tides · 301 PAwOBA .341 → .304 (−37)K% 12.3% → 15.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.29%	÷0.961	×1.200	—	—	15.35%
BB% (unintentional) /PA	9.63%	÷1.060	×0.690	—	×0.982	6.16%
HBP% /PA	0.33%	—	×0.940	—	×0.982	0.31%
Singles /BIP	28.89%	÷0.989	×0.930	×1.027	×0.982	27.38%
Doubles /BIP	4.89%	÷0.979	×0.830	×1.027	×0.982	4.18%
Triples /BIP	0.00%	÷1.150	×0.970	×1.027	×0.982	0.00%
Home runs /BIP	1.78%	÷1.097	×0.840	—	×0.982	1.34%

Factors used: league row IL. Park (home-season share, regressed): HR 119, 1B 98, 2B 96, 3B 130, K 92, BB 112 — 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 ×1.027.

Result: wOBA .341 → .304; ISO .088 → .074; BABIP .335 → .312. 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 AAANorfolk Tides · 254 PAwOBA .337 → .296 (−41)K% 11.8% → 13.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	11.81%	÷1.025	×1.200	—	—	13.83%
BB% (unintentional) /PA	9.06%	÷1.025	×0.690	—	×0.992	6.05%
HBP% /PA	0.39%	—	×0.940	—	×0.992	0.37%
Singles /BIP	27.55%	÷1.027	×0.930	×1.008	×0.992	24.94%
Doubles /BIP	6.63%	÷0.899	×0.830	×1.008	×0.992	6.12%
Triples /BIP	0.00%	÷1.007	×0.970	×1.008	×0.992	0.00%
Home runs /BIP	1.02%	÷1.223	×0.840	—	×0.992	0.70%

Factors used: league row IL. Park (home-season share, regressed): HR 145, 1B 105, 2B 80, 3B 101, K 105, BB 105 — 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 ×1.008.

Result: wOBA .337 → .296; ISO .084 → .074; BABIP .338 → .307. 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 AAANorfolk Tides · 143 PAwOBA .398 → .355 (−43)K% 11.2% → 13.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	11.19%	÷0.967	×1.200	—	—	13.89%
BB% (unintentional) /PA	13.29%	÷1.001	×0.690	—	×1.003	9.18%
HBP% /PA	0.00%	—	×0.940	—	×1.003	0.00%
Singles /BIP	26.17%	÷0.970	×0.930	×1.019	×1.003	25.63%
Doubles /BIP	6.54%	÷0.956	×0.830	×1.019	×1.003	5.80%
Triples /BIP	0.00%	÷0.900	×0.970	×1.019	×1.003	0.00%
Home runs /BIP	4.67%	÷1.006	×0.840	—	×1.003	3.91%

Factors used: league row IL. Park (home-season share, regressed): HR 101, 1B 94, 2B 91, 3B 80, K 93, BB 100 — 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 ×1.019.

Result: wOBA .398 → .355; ISO .179 → .157; BABIP .340 → .324. 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 AAAIowa Cubs · 15 PAwOBA .568 → .496 (−72)K% 0.0% → 0.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	0.00%	÷1.004	×1.290	—	—	0.00%
BB% (unintentional) /PA	13.33%	÷0.938	×0.710	—	×1.018	10.27%
HBP% /PA	0.00%	—	×0.980	—	×1.018	0.00%
Singles /BIP	23.08%	÷1.028	×0.900	—	×1.018	20.57%
Doubles /BIP	15.38%	÷1.049	×0.810	—	×1.018	12.09%
Triples /BIP	0.00%	÷0.953	×0.810	—	×1.018	0.00%
Home runs /BIP	7.69%	÷0.863	×0.780	—	×1.018	7.08%

Factors used: league row PCL. Park (home-season share, regressed): HR 73, 1B 106, 2B 110, 3B 91, K 101, BB 88 — 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).

Result: wOBA .568 → .496; ISO .385 → .345; BABIP .417 → .351. 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 AATennessee Smokies · 351 PAwOBA .350 → .304 (−47)K% 11.1% → 14.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	11.11%	÷0.951	×1.220	—	—	14.26%
BB% (unintentional) /PA	9.40%	÷1.090	×0.680	—	×0.998	5.86%
HBP% /PA	0.00%	—	×0.840	—	×0.998	0.00%
Singles /BIP	20.88%	÷1.029	×0.920	×1.015	×0.998	18.91%
Doubles /BIP	9.89%	÷1.001	×0.910	×1.015	×0.998	9.11%
Triples /BIP	1.10%	÷1.150	×0.880	×1.015	×0.998	0.85%
Home runs /BIP	1.83%	÷0.937	×0.800	—	×0.998	1.56%

Factors used: league row SL. Park (home-season share, regressed): HR 87, 1B 106, 2B 100, 3B 130, K 90, BB 118 — 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 ×1.015.

Result: wOBA .350 → .304; ISO .154 → .139; BABIP .321 → .290. 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 AAAIowa Cubs · 97 PAwOBA .444 → .413 (−31)K% 7.2% → 9.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	7.22%	÷0.965	×1.290	—	—	9.64%
BB% (unintentional) /PA	9.28%	÷1.043	×0.710	—	×1.033	6.53%
HBP% /PA	0.00%	—	×0.980	—	×1.033	0.00%
Singles /BIP	35.44%	÷0.980	×0.900	×1.037	×1.033	34.88%
Doubles /BIP	3.80%	÷1.017	×0.810	×1.037	×1.033	3.24%
Triples /BIP	1.27%	÷1.086	×0.810	×1.037	×1.033	1.01%
Home runs /BIP	3.80%	÷0.934	×0.780	—	×1.033	3.28%

Factors used: league row PCL. Park (home-season share, regressed): HR 87, 1B 96, 2B 103, 3B 117, K 93, BB 109 — 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 ×1.037.

Result: wOBA .444 → .413; ISO .163 → .143; BABIP .410 → .395. 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 AATennessee Smokies · 294 PAwOBA .355 → .320 (−34)K% 9.5% → 12.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	9.52%	÷0.960	×1.220	—	—	12.11%
BB% (unintentional) /PA	5.44%	÷1.048	×0.680	—	×1.012	3.57%
HBP% /PA	0.68%	—	×0.840	—	×1.012	0.58%
Singles /BIP	23.46%	÷0.988	×0.920	×1.050	×1.012	23.22%
Doubles /BIP	9.88%	÷1.126	×0.910	×1.050	×1.012	8.48%
Triples /BIP	0.00%	÷1.006	×0.880	×1.050	×1.012	0.00%
Home runs /BIP	2.06%	÷1.049	×0.800	—	×1.012	1.59%

Factors used: league row SL. Park (home-season share, regressed): HR 110, 1B 98, 2B 125, 3B 101, K 92, BB 110 — 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 ×1.050.

Result: wOBA .355 → .320; ISO .144 → .120; BABIP .339 → .321. 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).

2009 AAAIowa Cubs · 251 PAwOBA .282 → .262 (−19)K% 12.4% → 15.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.35%	÷1.000	×1.290	—	—	15.93%
BB% (unintentional) /PA	5.98%	÷1.000	×0.710	—	×1.050	4.46%
HBP% /PA	0.40%	—	×0.980	—	×1.050	0.41%
Singles /BIP	24.12%	÷1.000	×0.900	×1.050	×1.050	23.93%
Doubles /BIP	6.03%	÷1.000	×0.810	×1.050	×1.050	5.39%
Triples /BIP	0.50%	÷1.000	×0.810	×1.050	×1.050	0.45%
Home runs /BIP	0.00%	÷1.000	×0.780	—	×1.050	0.00%

Factors used: league row PCL. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 23 vs a level average of 27.2 → +5.0% on BB/HBP/hit rates (4.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .282 → .262; ISO .061 → .054; BABIP .302 → .293. 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 — .