Kolten Wong

Pos2B

B/TL/R

Born1990-10-10

Age (2027)36

No MLB projection yet. Career stats below are historical.

Overview

AAALAST SEASON 2024

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2022	31	MLBMIL	497	.251/.343/.430	15	17	117	1.7
2023	32	MLBLAD	250	.183/.259/.263	4	3	52	-0.9
2024	33	AAAARI	121	.271/.345/.383	2	2	47	—	.198/.252/.261
2025	34	No MLB games played
2026	35	No MLB games played

Last 3 seasons WAR 0.8

Contract

No contract data on file.

Skills · percentileStatcast 2021-2023

xwOBA43

Bat Spd40

Speed33

Avg EV25

Barrel%23

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)
2011	20	A	Quad Cities River Bandits	—	222	194	65	15	2	5	21	24	3	9	5	335	408	510	919	175	355	11	9	399	107	—	—	—	—	—	—
2012	21	AA	Springfield Cardinals	—	579	523	150	23	6	9	44	74	7	21	11	287	350	405	756	119	318	13	8	337	86	—	—	—	—	—	—
2012	21	INTL	Surprise Saguaros	—	76	74	24	2	0	1	2	11	0	5	3	324	342	392	734	68	371	14	3	330	109	—	—	—	—	—	—
2013	22	MLB	St. Louis Cardinals	—	62	59	9	1	0	0	3	12	0	3	0	153	194	169	363	17	191	19	5	171	2	-7	+1	+2	+2	+1	-0.2
2013	22	AAA	Memphis Redbirds	—	463	412	125	21	8	10	41	60	4	20	1	303	372	466	838	163	332	13	9	367	108	—	—	—	—	—	—
2014	23	MLB	St. Louis Cardinals	—	433	402	100	14	3	12	21	71	4	20	4	249	293	388	681	139	275	16	5	299	88	-6	+2	+4	+2	+9	1.1
2014	23	AAA	Memphis Redbirds	—	80	75	27	4	0	3	5	9	0	6	0	360	400	533	933	173	381	11	6	412	124	—	—	—	—	—	—
2015	24	MLB	St. Louis Cardinals	—	613	557	146	28	4	11	36	95	15	15	8	262	324	386	710	124	296	15	6	318	100	+0	-0	+4	+2	+13	2.0
2016	25	MLB	St. Louis Cardinals	—	361	313	75	7	7	5	34	52	9	7	0	240	331	355	686	115	268	14	9	309	95	-2	+1	+4	+1	+8	1.2
2016	25	AAA	Memphis Redbirds	—	34	28	12	0	1	4	4	6	2	1	0	429	529	929	1.458	500	444	18	12	604	222	—	—	—	—	—	—
2017	26	MLB	St. Louis Cardinals	—	411	354	101	27	3	4	41	60	12	8	2	285	378	412	791	127	331	15	10	355	113	+6	+1	-1	+2	+9	1.7
2017	26	AA	Springfield Cardinals	—	17	15	6	2	0	1	2	1	0	0	0	400	471	733	1.204	333	385	6	12	515	153	—	—	—	—	—	—
2018	27	MLB	St. Louis Cardinals	—	407	353	88	18	2	9	31	60	14	6	5	249	334	388	722	139	275	15	8	320	101	+0	-1	+6	+1	+9	1.6
2019	28	MLB	St. Louis Cardinals	—	549	478	136	25	4	11	47	83	13	24	4	285	364	423	787	138	321	15	9	347	118	+12	+3	+3	+2	+12	3.3
2020	29	MLB	St. Louis Cardinals	—	208	181	48	4	2	1	20	30	4	5	2	265	351	326	677	61	311	14	10	310	94	-1	+0	+2	+1	+5	0.6
2021	30	MLB	Milwaukee Brewers	—	492	445	121	32	2	14	31	83	13	12	5	272	337	447	785	175	305	17	6	347	123	+13	+0	+1	+2	+11	2.8
2022	31	MLB	Milwaukee Brewers	—	497	430	108	24	4	15	46	88	14	17	6	251	343	430	773	179	280	18	9	341	117	+10	+1	-7	+2	+11	1.7
2023	32	MLB	Los Angeles Dodgers	—	250	224	41	6	0	4	18	53	5	3	2	183	259	263	523	80	218	21	7	241	52	-14	-0	-1	+1	+5	-0.9
2024	33	AAA	Reno Aces	—	121	107	29	6	0	2	10	22	2	2	0	271	345	383	728	112	318	18	8	325	47	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	4283	3796	973	186	31	86	328	687	103	120	38	256	332	390	722	133	290	16	8	322	104	+20	+9	+16	+17	+93	15.9
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2011	20	A MLE	Quad Cities River Bandits	—	222	202	56	12	2	4	13	30	3	9	5	277	330	416	746	139	298	14	6	326	107	—	—	—	—	—	—
2012	21	AA MLE	Springfield Cardinals	—	579	537	144	20	7	6	30	88	7	21	11	268	315	365	680	97	304	15	5	296	86	—	—	—	—	—	—
2013	22	MLB MLE	St. Louis Cardinals	—	62	59	9	1	0	0	3	12	0	3	0	153	194	169	363	17	191	19	5	171	2	-7	+1	+2	+2	+1	-0.2
2013	22	AAA MLE	Memphis Redbirds	—	463	425	121	19	7	8	28	77	4	20	1	285	335	419	754	134	322	17	6	328	108	—	—	—	—	—	—
2014	23	MLB MLE	St. Louis Cardinals	—	433	405	100	13	3	13	18	71	4	20	4	247	286	390	676	143	275	16	4	298	88	-6	+2	+4	+2	+9	1.1
2014	23	AAA MLE	Memphis Redbirds	—	80	76	25	4	0	2	4	12	0	6	0	329	362	461	823	132	358	15	5	352	124	—	—	—	—	—	—
2015	24	MLB MLE	St. Louis Cardinals	—	613	559	146	27	4	12	34	95	15	15	8	261	321	388	709	127	296	15	6	317	100	+0	-0	+4	+2	+13	2.0
2016	25	MLB MLE	St. Louis Cardinals	—	361	315	75	7	7	5	32	52	9	7	0	238	326	352	678	114	268	14	9	308	95	-2	+1	+4	+1	+8	1.2
2016	25	AAA MLE	Memphis Redbirds	—	34	29	10	0	1	3	3	8	2	1	0	345	441	724	1.165	379	395	24	9	497	222	—	—	—	—	—	—
2017	26	MLB MLE	St. Louis Cardinals	—	411	365	100	26	3	4	30	60	12	8	2	274	349	395	743	121	331	15	7	336	113	+6	+1	-1	+2	+9	1.7
2017	26	AA MLE	Springfield Cardinals	—	17	16	6	2	0	1	1	1	0	0	0	375	412	688	1.099	312	324	6	6	394	153	—	—	—	—	—	—
2018	27	MLB MLE	St. Louis Cardinals	—	407	356	88	17	2	10	28	60	14	6	5	247	327	390	717	143	275	15	7	317	101	+0	-1	+6	+1	+9	1.6
2019	28	MLB MLE	St. Louis Cardinals	—	549	483	136	24	4	12	42	83	13	24	4	282	355	422	777	141	321	15	8	343	118	+12	+3	+3	+2	+12	3.3
2020	29	MLB MLE	St. Louis Cardinals	—	208	182	48	4	2	1	19	30	4	5	2	264	346	324	671	60	311	14	9	308	94	-1	+0	+2	+1	+5	0.6
2021	30	MLB MLE	Milwaukee Brewers	—	492	446	122	34	2	13	30	83	13	12	5	274	337	446	784	173	305	17	6	349	123	+13	+0	+1	+2	+11	2.8
2022	31	MLB MLE	Milwaukee Brewers	—	497	432	109	26	4	14	44	88	14	17	6	252	341	428	769	176	280	18	9	341	117	+10	+1	-7	+2	+11	1.7
2023	32	MLB MLE	Los Angeles Dodgers	—	250	224	41	6	0	4	18	53	5	3	2	183	259	263	523	80	218	21	7	245	52	-14	-0	-1	+1	+5	-0.9
2024	33	AAA MLE	Reno Aces	—	121	111	22	4	0	1	6	27	2	2	0	198	252	261	513	63	246	22	5	238	47	—	—	—	—	—	—
2011	20	A MLE	Quad Cities River Bandits	—	222	202	56	12	2	4	13	30	3	9	5	277	330	416	746	139	302	14	6	326	107	—	—	—	—	—	—
2011	20	A RAW	Quad Cities River Bandits	—	222	194	65	15	2	5	21	24	3	9	5	335	408	510	919	175	355	11	9	399	107	—	—	—	—	—	—
2012	21	AA MLE	2 teams	—	655	610	162	22	8	7	33	100	7	26	14	266	311	362	673	97	306	15	5	296	86	—	—	—	—	—	—
2012	21	AA RAW	2 teams	—	655	597	174	25	6	10	46	85	7	26	14	291	349	404	753	112	325	13	7	336	86	—	—	—	—	—	—
2013	22	AAA MLE	2 teams	—	525	484	129	19	7	8	31	89	4	23	1	267	316	384	700	118	309	17	6	309	96	—	—	—	—	—	—
2013	22	AAA RAW	2 teams	—	525	471	134	22	8	10	44	72	4	23	1	285	351	429	780	144	316	14	8	344	96	—	—	—	—	—	—
2014	23	MLB MLE	2 teams	—	513	481	125	17	3	15	22	83	4	26	4	260	298	401	699	141	286	16	4	306	93	-4	+4	+4	+2	+11	1.7
2014	23	MLB RAW	2 teams	—	513	477	127	18	3	15	26	80	4	26	4	266	310	411	721	145	292	16	5	317	93	-4	+4	+4	+2	+11	1.7
2015	24	MLB MLE	St. Louis Cardinals	—	613	559	146	27	4	12	34	95	15	15	8	261	321	388	709	127	293	15	6	317	100	+0	-0	+4	+2	+13	2.0
2015	24	MLB RAW	St. Louis Cardinals	—	613	557	146	28	4	11	36	95	15	15	8	262	324	386	710	124	296	15	6	318	100	+0	-0	+4	+2	+13	2.0
2016	25	MLB MLE	2 teams	—	395	344	86	7	8	9	35	60	11	8	0	250	338	395	734	145	275	15	9	325	106	+3	+2	+4	+1	+9	1.8
2016	25	MLB RAW	2 teams	—	395	341	87	7	8	9	38	58	11	8	0	255	349	402	750	147	280	15	10	335	106	+3	+2	+4	+1	+9	1.8
2017	26	MLB MLE	2 teams	—	428	381	106	28	3	5	31	61	12	8	2	278	351	407	758	129	318	14	7	338	115	+8	+1	-1	+2	+9	1.8
2017	26	MLB RAW	2 teams	—	428	369	107	29	3	5	43	61	12	8	2	290	382	425	808	136	333	14	10	361	115	+8	+1	-1	+2	+9	1.8
2018	27	MLB MLE	St. Louis Cardinals	—	407	356	88	17	2	10	28	60	14	6	5	247	327	390	717	143	270	15	7	317	101	+0	-1	+6	+1	+9	1.6
2018	27	MLB RAW	St. Louis Cardinals	—	407	353	88	18	2	9	31	60	14	6	5	249	334	388	722	139	275	15	8	320	101	+0	-1	+6	+1	+9	1.6
2019	28	MLB MLE	St. Louis Cardinals	—	549	483	136	24	4	12	42	83	13	24	4	282	355	422	777	141	316	15	8	343	118	+12	+3	+3	+2	+12	3.3
2019	28	MLB RAW	St. Louis Cardinals	—	549	478	136	25	4	11	47	83	13	24	4	285	364	423	787	138	321	15	9	347	118	+12	+3	+3	+2	+12	3.3
2020	29	MLB MLE	St. Louis Cardinals	—	208	182	48	4	2	1	19	30	4	5	2	264	346	324	671	60	309	14	9	308	94	-1	+0	+2	+1	+5	0.6
2020	29	MLB RAW	St. Louis Cardinals	—	208	181	48	4	2	1	20	30	4	5	2	265	351	326	677	61	311	14	10	310	94	-1	+0	+2	+1	+5	0.6
2021	30	MLB MLE	Milwaukee Brewers	—	492	446	122	34	2	13	30	83	13	12	5	274	337	446	784	173	309	17	6	349	123	+13	+0	+1	+2	+11	2.8
2021	30	MLB RAW	Milwaukee Brewers	—	492	445	121	32	2	14	31	83	13	12	5	272	337	447	785	175	305	17	6	347	123	+13	+0	+1	+2	+11	2.8
2022	31	MLB MLE	Milwaukee Brewers	—	497	432	109	26	4	14	44	88	14	17	6	252	341	428	769	176	284	18	9	341	117	+10	+1	-7	+2	+11	1.7
2022	31	MLB RAW	Milwaukee Brewers	—	497	430	108	24	4	15	46	88	14	17	6	251	343	430	773	179	280	18	9	341	117	+10	+1	-7	+2	+11	1.7
2023	32	MLB MLE	Los Angeles Dodgers	—	250	224	41	6	0	4	18	53	5	3	2	183	259	263	523	80	218	21	7	245	52	-14	-0	-1	+1	+5	-0.9
2023	32	MLB RAW	Los Angeles Dodgers	—	250	224	41	6	0	4	18	53	5	3	2	183	259	263	523	80	218	21	7	241	52	-14	-0	-1	+1	+5	-0.9
2024	33	AAA MLE	Reno Aces	—	121	111	22	4	0	1	6	27	2	2	0	198	252	261	513	63	247	22	5	238	47	—	—	—	—	—	—
2024	33	AAA RAW	Reno Aces	—	121	107	29	6	0	2	10	22	2	2	0	271	345	383	728	112	318	18	8	325	47	—	—	—	—	—	—
2011	20	A MLE	Quad Cities River Bandits	—	222	204	56	12	2	4	13	30	3	9	5	275	330	412	742	137	298	14	6	326	107	—	—	—	—	—	—
2012	21	AA MLE	2 teams	—	655	610	162	22	8	7	33	100	7	26	14	266	311	362	673	97	304	15	5	296	86	—	—	—	—	—	—
2013	22	AAA MLE	2 teams	—	525	485	129	19	7	8	31	89	4	23	1	266	316	384	699	118	307	17	6	309	96	—	—	—	—	—	—
2014	23	MLB MLE	2 teams	—	513	482	125	17	3	15	22	83	4	26	4	259	298	400	698	141	288	16	4	306	93	—	—	—	—	—	—
2015	24	MLB MLE	St. Louis Cardinals	—	613	559	146	27	4	12	34	95	15	15	8	261	321	388	709	127	296	15	6	317	100	—	—	—	—	—	—
2016	25	MLB MLE	2 teams	—	395	346	86	7	8	9	35	60	11	8	0	249	338	393	732	145	279	15	9	325	106	—	—	—	—	—	—
2017	26	MLB MLE	2 teams	—	428	382	106	28	3	5	31	61	12	8	2	277	351	406	757	128	331	14	7	338	115	—	—	—	—	—	—
2018	27	MLB MLE	St. Louis Cardinals	—	407	362	88	17	2	10	28	60	14	6	5	243	327	384	711	141	275	15	7	317	101	—	—	—	—	—	—
2019	28	MLB MLE	St. Louis Cardinals	—	549	489	136	24	4	12	42	83	13	24	4	278	355	417	772	139	321	15	8	343	118	—	—	—	—	—	—
2020	29	MLB MLE	St. Louis Cardinals	—	208	183	48	4	2	1	19	30	4	5	2	262	346	322	669	60	311	14	9	308	94	—	—	—	—	—	—
2021	30	MLB MLE	Milwaukee Brewers	—	492	446	122	34	2	13	30	83	13	12	5	274	337	446	784	173	305	17	6	349	123	—	—	—	—	—	—
2022	31	MLB MLE	Milwaukee Brewers	—	497	436	109	26	4	14	44	88	14	17	6	250	341	424	765	174	280	18	9	341	117	—	—	—	—	—	—
2023	32	MLB MLE	Los Angeles Dodgers	—	250	225	41	6	0	4	18	53	5	3	2	182	259	262	521	80	218	21	7	245	52	—	—	—	—	—	—
2024	33	AAA MLE	Reno Aces	—	121	112	22	4	0	1	6	27	2	2	0	196	252	259	511	63	246	22	5	238	47	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	33	AAA MLE	Reno Aces	—	121	112	22	4	0	1	6	27	2	2	0	196	252	259	511	63	246	22	5	238	47	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	4283	3796	973	186	31	86	328	687	103	120	38	256	332	390	722	133	290	16	8	322	101	+20	+9	+16	+17	+93	15.9
/ 162G	—	A+C		—	650	576	148	28	5	13	50	104	16	18	6	257	333	391	724	134	291	16	8	322	101	+3	+1	+2	+3	+14	2.4
Career	—	MLE		—	5875	5295	1376	247	49	115	386	942	121	184	58	260	325	390	715	130	294	16	7	318	101	+20	+9	+16	+17	+93	15.9
/ 162G	—	MLE		—	650	586	152	27	5	13	43	104	13	20	6	259	324	389	713	130	293	16	7	318	101	+3	+1	+2	+3	+14	2.4

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.

2024 AAAReno Aces · 121 PAwOBA .322 → .238 (−83)K% 18.2% → 22.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.18%	÷0.964	×1.200	—	—	22.64%
BB% (unintentional) /PA	8.26%	÷1.012	×0.690	—	×0.940	5.30%
HBP% /PA	1.65%	—	×0.940	—	×0.940	1.46%
Singles /BIP	24.71%	÷1.076	×0.930	×0.976	×0.940	19.60%
Doubles /BIP	7.06%	÷1.025	×0.830	×0.976	×0.940	5.25%
Triples /BIP	0.00%	÷1.017	×0.970	×0.976	×0.940	0.00%
Home runs /BIP	2.35%	÷1.124	×0.700	—	×0.940	1.38%

Factors used: league row International League. Park (home-season share, regressed): HR 125, 1B 115, 2B 105, 3B 103, K 93, BB 102 — applied at half strength. Age: age 34 vs a level average of 27.2 → −6.0% on BB/HBP/hit rates (6.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.976.

Result: wOBA .322 → .238; ISO .112 → .075; BABIP .318 → .246. 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 AASpringfield Cardinals · 17 PAwOBA .501 → .394 (−107)K% 5.9% → 7.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	5.88%	÷0.990	×1.220	—	—	7.25%
BB% (unintentional) /PA	11.76%	÷1.048	×0.700	—	×0.978	7.69%
HBP% /PA	0.00%	—	×0.870	—	×0.978	0.00%
Singles /BIP	21.43%	÷0.992	×0.920	—	×0.978	19.43%
Doubles /BIP	14.29%	÷1.009	×0.840	—	×0.978	11.64%
Triples /BIP	0.00%	÷1.093	×0.940	—	×0.978	0.00%
Home runs /BIP	7.14%	÷1.315	×0.800	—	×0.978	4.25%

Factors used: league row TL. Park (home-season share, regressed): HR 163, 1B 98, 2B 102, 3B 119, K 98, BB 110 — applied at half strength. Age: age 27 vs a level average of 24.8 → −2.2% on BB/HBP/hit rates (2.2 yr older than average).

Result: wOBA .501 → .394; ISO .333 → .235; BABIP .385 → .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).

2016 AAAMemphis Redbirds · 34 PAwOBA .587 → .497 (−90)K% 17.6% → 23.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.65%	÷0.988	×1.290	—	—	23.04%
BB% (unintentional) /PA	11.76%	÷0.983	×0.710	—	×1.018	8.65%
HBP% /PA	5.88%	—	×0.980	—	×1.018	5.87%
Singles /BIP	31.82%	÷0.989	×0.900	—	×1.018	29.47%
Doubles /BIP	0.00%	÷0.941	×0.810	—	×1.018	0.00%
Triples /BIP	4.55%	÷0.951	×0.810	—	×1.018	3.94%
Home runs /BIP	18.18%	÷0.931	×0.780	—	×1.018	15.51%

Factors used: league row PCL. Park (home-season share, regressed): HR 86, 1B 98, 2B 88, 3B 90, K 98, BB 97 — 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 .587 → .497; ISO .500 → .413; BABIP .444 → .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).

2014 AAAMemphis Redbirds · 80 PAwOBA .401 → .352 (−48)K% 11.2% → 14.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	11.25%	÷0.997	×1.290	—	—	14.56%
BB% (unintentional) /PA	6.25%	÷1.031	×0.710	—	×1.048	4.51%
HBP% /PA	0.00%	—	×0.980	—	×1.048	0.00%
Singles /BIP	30.30%	÷1.034	×0.900	×1.039	×1.048	28.71%
Doubles /BIP	6.06%	÷0.917	×0.810	×1.039	×1.048	5.83%
Triples /BIP	0.00%	÷0.900	×0.810	×1.039	×1.048	0.00%
Home runs /BIP	4.55%	÷1.036	×0.780	—	×1.048	3.59%

Factors used: league row PCL. Park (home-season share, regressed): HR 107, 1B 107, 2B 83, 3B 80, K 99, BB 106 — 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 ×1.039.

Result: wOBA .401 → .352; ISO .173 → .143; BABIP .381 → .358. 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 AAAMemphis Redbirds · 463 PAwOBA .359 → .328 (−30)K% 13.0% → 16.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.96%	÷1.004	×1.290	—	—	16.65%
BB% (unintentional) /PA	8.21%	÷1.020	×0.710	—	×1.050	6.00%
HBP% /PA	0.86%	—	×0.980	—	×1.050	0.89%
Singles /BIP	24.43%	÷0.970	×0.900	×1.032	×1.050	24.58%
Doubles /BIP	5.97%	÷1.002	×0.810	×1.032	×1.050	5.23%
Triples /BIP	2.27%	÷0.984	×0.810	×1.032	×1.050	2.03%
Home runs /BIP	2.84%	÷0.988	×0.780	—	×1.050	2.36%

Factors used: league row PCL. Park (home-season share, regressed): HR 98, 1B 94, 2B 100, 3B 97, K 101, BB 104 — 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 ×1.032.

Result: wOBA .359 → .328; ISO .163 → .140; BABIP .332 → .322. 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 AASpringfield Cardinals · 579 PAwOBA .329 → .296 (−33)K% 12.8% → 15.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.78%	÷1.025	×1.220	—	—	15.22%
BB% (unintentional) /PA	7.25%	÷1.043	×0.700	—	×1.042	5.07%
HBP% /PA	1.21%	—	×0.870	—	×1.042	1.10%
Singles /BIP	24.94%	÷1.003	×0.920	×1.021	×1.042	24.34%
Doubles /BIP	5.12%	÷1.054	×0.840	×1.021	×1.042	4.34%
Triples /BIP	1.34%	÷0.900	×0.940	×1.021	×1.042	1.48%
Home runs /BIP	2.00%	÷1.238	×0.800	—	×1.042	1.35%

Factors used: league row TL. Park (home-season share, regressed): HR 148, 1B 101, 2B 111, 3B 80, K 105, BB 109 — applied at half strength. Age: age 22 vs a level average of 24.8 → +4.2% on BB/HBP/hit rates (2.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.021.

Result: wOBA .329 → .296; ISO .119 → .099; BABIP .318 → .304. 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 AQuad Cities River Bandits · 222 PAwOBA .395 → .326 (−68)K% 10.8% → 13.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	10.81%	÷1.070	×1.360	—	—	13.74%
BB% (unintentional) /PA	9.01%	÷1.090	×0.690	—	×1.015	5.79%
HBP% /PA	1.35%	—	×0.780	—	×1.015	1.07%
Singles /BIP	25.29%	÷1.060	×0.920	×0.978	×1.015	21.81%
Doubles /BIP	8.82%	÷1.055	×0.830	×0.978	×1.015	6.90%
Triples /BIP	1.18%	÷1.055	×0.910	×0.978	×1.015	1.01%
Home runs /BIP	2.94%	÷0.993	×0.800	—	×1.015	2.40%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 99, 1B 112, 2B 111, 3B 111, K 114, BB 118 — applied at half strength. Age: age 21 vs a level average of 22.0 → +1.5% on BB/HBP/hit rates (1.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.978.

Result: wOBA .395 → .326; ISO .175 → .147; BABIP .355 → .298. 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 — .