Tony Wolters

PosC

B/TL/R

Born1992-06-09

Age (2027)35

No MLB projection yet. Career stats below are historical.

Overview

AAALAST SEASON 2023

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2021	29	AAAOklahoma City…	245	.240/.350/.385	6	1	70	—	.212/.296/.318
2021	29	MLBCHC	30	.125/.276/.125	0	0	26	0.4
2022	30	AAA/INTL2 orgs	263	.220/.319/.273	0	0	40	—	.196/.259/.243
2023	31	AAAMIN	215	.244/.390/.343	3	0	64	—	.199/.300/.258
2024	32	No MLB games played
2025	33	No MLB games played
2026	34	No MLB games played

Last 3 seasons WAR 0.4

Contract

No contract data on file.

Skills · percentileMiLB Statcast 2023 AAA

BB%87

Chase%78

K%55

Whiff%34

Z-Con%28

Speed21

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)
2010	18	ROK	AZL Indians	—	21	19	4	0	0	0	2	5	0	2	0	211	286	211	496		286	24	10	239	-1	—	—	—	—	—	—
2012	20	A+	Carolina Mudcats	—	537	485	127	30	8	8	36	104	8	5	9	262	323	406	729	144	316	19	7	321	65	—	—	—	—	—	—
2013	21	A+	Carolina Mudcats	—	340	289	80	13	0	3	41	58	3	3	6	277	372	353	725	76	333	17	12	328	81	—	—	—	—	—	—
2013	21	INTL	Surprise Saguaros	—	58	45	8	1	0	0	10	11	2	1	1	178	351	200	551	22	229	19	17	277	74	—	—	—	—	—	—
2014	22	AA	Akron RubberDucks	—	387	341	85	15	2	1	35	74	3	3	2	249	325	314	638	65	309	19	9	289	59	—	—	—	—	—	—
2014	22	INTL	Peoria Javelinas	—	63	55	14	3	0	0	7	7	0	0	2	255	339	309	648	55	286	11	11	297	87	—	—	—	—	—	—
2015	23	AA	Akron RubberDucks	—	271	239	50	7	2	2	21	63	7	3	2	209	292	280	572	71	273	23	8	264	42	—	—	—	—	—	—
2016	24	MLB	Colorado Rockies	—	230	205	53	15	2	3	21	53	0	4	1	259	327	395	723	137	336	23	9	318	89	-3	+0	+16	+4	+5	2.3
2017	25	MLB	Colorado Rockies	—	266	229	55	8	1	0	33	55	2	0	1	240	341	284	625	44	316	21	12	293	64	-11	-0	+7	+6	+6	0.7
2017	25	AAA	Albuquerque Isotopes	—	58	54	14	5	1	2	3	15	1	0	1	259	310	500	810	241	324	26	5	353	53	—	—	—	—	—	—
2018	26	MLB	Colorado Rockies	—	216	182	31	4	4	3	26	33	6	2	0	170	294	286	580	115	189	15	12	271	56	-11	+0	+15	+4	+5	1.3
2019	27	MLB	Colorado Rockies	—	411	359	94	17	2	1	36	68	8	0	1	262	342	329	671	67	314	17	9	304	81	-9	-0	+5	+7	+9	1.2
2020	28	MLB	Colorado Rockies	—	109	100	23	4	0	0	6	30	1	0	0	230	280	270	550	40	329	28	6	250	52	-6	+0	-2	+2	+2	-0.4
2021	29	MLB	Chicago Cubs	—	30	24	3	0	0	0	5	12	0	0	1	125	276	125	401		250	40	17	207	26	-3	-0	+1	+5	+1	0.4
2021	29	AAA	Oklahoma City Dodgers	—	245	208	50	10	1	6	26	53	9	1	2	240	350	385	734	144	293	22	11	333	70	—	—	—	—	—	—
2022	30	AAA	Oklahoma City Dodgers	—	234	204	47	9	1	0	26	58	2	0	0	230	323	284	608	54	318	25	11	283	40	—	—	—	—	—	—
2022	30	INTL	Toros del Este	—	29	23	3	1	0	0	4	11	1	0	0	130	286	174	460	43	231	38	14	228	41	—	—	—	—	—	—
2023	31	AAA	St. Paul Saints	—	215	172	42	8	0	3	36	46	5	0	1	244	390	343	733	99	312	21	17	341	64	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	1262	1099	259	48	9	7	127	251	17	6	4	236	324	315	639	79	297	20	10	292	84	-25	-0	+43	+28	+27	7.5
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2010	18	ROK MLE	AZL Indians	—	21	20	3	0	0	0	1	7	0	2	0	150	190	150	340		240	33	5	167	-1	—	—	—	—	—	—
2012	20	A+ MLE	Carolina Mudcats	—	537	498	111	24	7	8	23	153	8	5	9	223	268	347	616	124	296	28	4	264	65	—	—	—	—	—	—
2013	21	A+ MLE	Carolina Mudcats	—	340	304	80	12	0	3	26	83	3	3	6	263	327	332	660	69	335	24	8	288	81	—	—	—	—	—	—
2014	22	AA MLE	Akron RubberDucks	—	387	351	81	14	2	1	25	94	3	3	2	231	288	291	578	60	293	24	6	256	59	—	—	—	—	—	—
2015	23	AA MLE	Akron RubberDucks	—	271	244	48	6	2	2	16	75	7	3	2	197	266	262	528	66	260	28	6	231	42	—	—	—	—	—	—
2016	24	MLB MLE	Colorado Rockies	—	230	207	50	14	1	3	19	53	0	4	1	242	305	362	668	121	336	23	8	300	89	-3	+0	+16	+4	+5	2.3
2017	25	MLB MLE	Colorado Rockies	—	266	238	54	8	1	0	24	55	2	0	1	227	303	269	572	42	316	21	9	263	64	-11	-0	+7	+6	+6	0.7
2017	25	AAA MLE	Albuquerque Isotopes	—	58	55	11	4	1	1	2	20	1	0	1	200	241	364	605	164	271	34	3	247	53	—	—	—	—	—	—
2018	26	MLB MLE	Colorado Rockies	—	216	184	29	4	3	3	24	33	6	2	0	158	276	261	537	103	189	15	11	251	56	-11	+0	+15	+4	+5	1.3
2019	27	MLB MLE	Colorado Rockies	—	411	364	90	16	1	1	31	68	8	0	1	247	320	305	625	58	314	17	8	287	81	-9	-0	+5	+7	+9	1.2
2020	28	MLB MLE	Colorado Rockies	—	109	100	22	4	0	0	6	30	1	0	0	220	271	260	531	40	329	28	6	244	52	-6	+0	-2	+2	+2	-0.4
2021	29	MLB MLE	Chicago Cubs	—	30	24	3	0	0	0	5	12	0	0	1	125	276	125	401		250	40	17	207	26	-3	-0	+1	+5	+1	0.4
2021	29	AAA MLE	Oklahoma City Dodgers	—	245	217	46	9	1	4	17	64	9	1	2	212	296	318	614	106	271	26	7	272	70	—	—	—	—	—	—
2022	30	AAA MLE	Oklahoma City Dodgers	—	234	214	42	8	1	0	16	69	2	0	0	196	259	243	502	47	281	29	7	228	40	—	—	—	—	—	—
2023	31	AAA MLE	St. Paul Saints	—	215	186	37	5	0	2	22	57	5	0	1	199	300	258	559	59	270	27	10	263	64	—	—	—	—	—	—
2010	18	ROK MLE	AZL Indians	—	21	20	3	0	0	0	1	7	0	2	0	150	190	150	340		231	33	5	167	-1	—	—	—	—	—	—
2010	18	ROK RAW	AZL Indians	—	21	19	4	0	0	0	2	5	0	2	0	211	286	211	496		286	24	10	239	-1	—	—	—	—	—	—
2012	20	A+ MLE	Carolina Mudcats	—	537	498	111	24	7	8	23	153	8	5	9	223	268	347	616	124	303	28	4	264	65	—	—	—	—	—	—
2012	20	A+ RAW	Carolina Mudcats	—	537	485	127	30	8	8	36	104	8	5	9	262	323	406	729	144	316	19	7	321	65	—	—	—	—	—	—
2013	21	A+ MLE	2 teams	—	398	354	93	14	0	3	31	97	5	4	7	263	331	328	658	65	349	24	8	288	81	—	—	—	—	—	—
2013	21	A+ RAW	2 teams	—	398	334	88	14	0	3	51	69	5	4	7	263	369	332	702	69	320	17	13	321	81	—	—	—	—	—	—
2014	22	AA MLE	2 teams	—	450	409	94	16	3	1	29	109	3	3	4	230	286	291	577	61	304	24	6	256	59	—	—	—	—	—	—
2014	22	AA RAW	2 teams	—	450	396	99	18	2	1	42	81	3	3	4	250	327	313	640	63	305	18	9	290	59	—	—	—	—	—	—
2015	23	AA MLE	Akron RubberDucks	—	271	244	48	6	2	2	16	75	7	3	2	197	266	262	528	66	272	28	6	231	42	—	—	—	—	—	—
2015	23	AA RAW	Akron RubberDucks	—	271	239	50	7	2	2	21	63	7	3	2	209	292	280	572	71	273	23	8	264	42	—	—	—	—	—	—
2016	24	MLB MLE	Colorado Rockies	—	230	207	50	14	1	3	19	53	0	4	1	242	305	362	668	121	311	23	8	300	89	-3	+0	+16	+4	+5	2.3
2016	24	MLB RAW	Colorado Rockies	—	230	205	53	15	2	3	21	53	0	4	1	259	327	395	723	137	336	23	9	318	89	-3	+0	+16	+4	+5	2.3
2017	25	MLB MLE	2 teams	—	324	293	62	11	1	1	26	75	3	0	2	212	283	266	549	55	281	23	8	260	62	-15	-1	+7	+6	+7	0.5
2017	25	MLB RAW	2 teams	—	324	283	69	13	2	2	36	70	3	0	2	244	335	325	660	81	318	22	11	304	62	-15	-1	+7	+6	+7	0.5
2018	26	MLB MLE	Colorado Rockies	—	216	184	29	4	3	3	24	33	6	2	0	158	276	261	537	103	173	15	11	251	56	-11	+0	+15	+4	+5	1.3
2018	26	MLB RAW	Colorado Rockies	—	216	182	31	4	4	3	26	33	6	2	0	170	294	286	580	115	189	15	12	271	56	-11	+0	+15	+4	+5	1.3
2019	27	MLB MLE	Colorado Rockies	—	411	364	90	16	1	1	31	68	8	0	1	247	320	305	625	58	296	17	8	287	81	-9	-0	+5	+7	+9	1.2
2019	27	MLB RAW	Colorado Rockies	—	411	359	94	17	2	1	36	68	8	0	1	262	342	329	671	67	314	17	9	304	81	-9	-0	+5	+7	+9	1.2
2020	28	MLB MLE	Colorado Rockies	—	109	100	22	4	0	0	6	30	1	0	0	220	271	260	531	40	314	28	6	244	52	-6	+0	-2	+2	+2	-0.4
2020	28	MLB RAW	Colorado Rockies	—	109	100	23	4	0	0	6	30	1	0	0	230	280	270	550	40	329	28	6	250	52	-6	+0	-2	+2	+2	-0.4
2021	29	AAA MLE	2 teams	—	275	241	49	9	1	4	22	76	9	1	3	203	294	299	593	95	278	28	8	265	65	—	—	—	—	—	—
2021	29	AAA RAW	2 teams	—	275	232	53	10	1	6	31	65	9	1	3	228	342	358	700	129	290	24	11	319	65	—	—	—	—	—	—
2022	30	AAA MLE	2 teams	—	263	239	47	9	1	0	18	78	3	0	0	197	262	243	504	46	287	30	7	228	40	—	—	—	—	—	—
2022	30	AAA RAW	2 teams	—	263	227	50	10	1	0	30	69	3	0	0	220	319	273	592	53	311	26	11	277	40	—	—	—	—	—	—
2023	31	AAA MLE	St. Paul Saints	—	215	186	37	5	0	2	22	57	5	0	1	199	300	258	559	59	271	27	10	263	64	—	—	—	—	—	—
2023	31	AAA RAW	St. Paul Saints	—	215	172	42	8	0	3	36	46	5	0	1	244	390	343	733	99	312	21	17	341	64	—	—	—	—	—	—
2010	18	ROK MLE	AZL Indians	—	21	20	3	0	0	0	1	7	0	2	0	150	190	150	340		240	33	5	167	-1	—	—	—	—	—	—
2012	20	A+ MLE	Carolina Mudcats	—	537	501	111	24	7	8	23	153	8	5	9	222	268	345	614	124	296	28	4	264	65	—	—	—	—	—	—
2013	21	A+ MLE	2 teams	—	398	359	93	14	0	3	31	97	5	4	7	259	331	323	654	64	335	24	8	288	81	—	—	—	—	—	—
2014	22	AA MLE	2 teams	—	450	415	94	16	3	1	29	109	3	3	4	227	286	287	572	60	293	24	6	256	59	—	—	—	—	—	—
2015	23	AA MLE	Akron RubberDucks	—	271	246	48	6	2	2	16	75	7	3	2	195	266	260	526	65	260	28	6	231	42	—	—	—	—	—	—
2016	24	MLB MLE	Colorado Rockies	—	230	209	50	14	1	3	19	53	0	4	1	239	305	359	664	120	336	23	8	300	89	—	—	—	—	—	—
2017	25	MLB MLE	2 teams	—	324	292	62	11	1	1	26	75	3	0	2	212	283	267	550	55	308	23	8	260	62	—	—	—	—	—	—
2018	26	MLB MLE	Colorado Rockies	—	216	184	29	4	3	3	24	33	6	2	0	158	276	261	537	103	189	15	11	251	56	—	—	—	—	—	—
2019	27	MLB MLE	Colorado Rockies	—	411	369	90	16	1	1	31	68	8	0	1	244	320	301	621	57	314	17	8	287	81	—	—	—	—	—	—
2020	28	MLB MLE	Colorado Rockies	—	109	101	22	4	0	0	6	30	1	0	0	218	271	257	528	40	329	28	6	244	52	—	—	—	—	—	—
2021	29	AAA MLE	2 teams	—	275	242	49	9	1	4	22	76	9	1	3	202	294	298	592	95	269	28	8	265	65	—	—	—	—	—	—
2022	30	AAA MLE	2 teams	—	263	240	47	9	1	0	18	78	3	0	0	196	262	242	503	46	281	30	7	228	40	—	—	—	—	—	—
2023	31	AAA MLE	St. Paul Saints	—	215	186	37	5	0	2	22	57	5	0	1	199	300	258	559	59	270	27	10	263	64	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1262	1099	259	48	9	7	127	251	17	6	4	236	324	315	639	79	297	20	10	292	64	-25	-0	+43	+28	+27	7.5
/ 162G	—	A+C		—	650	566	134	25	5	4	65	129	9	3	2	237	325	320	645	83	297	20	10	292	64	-13	-0	+22	+14	+14	3.8
Career	—	MLE		—	3720	3339	735	132	20	28	268	911	58	24	30	220	289	297	586	77	291	24	7	263	64	-25	-0	+43	+28	+27	7.5
/ 162G	—	MLE		—	650	583	128	23	3	5	47	159	10	4	5	220	289	295	584	75	290	24	7	263	64	-13	-0	+22	+14	+14	3.8

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.

2023 AAASt. Paul Saints · 215 PAwOBA .337 → .263 (−74)K% 21.4% → 26.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.40%	÷0.973	×1.200	—	—	26.38%
BB% (unintentional) /PA	16.74%	÷1.067	×0.690	—	×0.962	10.42%
HBP% /PA	2.33%	—	×0.940	—	×0.962	2.10%
Singles /BIP	24.60%	÷0.964	×0.930	×1.014	×0.962	23.16%
Doubles /BIP	6.35%	÷1.341	×0.830	×1.014	×0.962	3.84%
Triples /BIP	0.00%	÷0.977	×0.970	×1.014	×0.962	0.00%
Home runs /BIP	2.38%	÷1.009	×0.700	—	×0.962	1.59%

Factors used: league row International League. Park (home-season share, regressed): HR 102, 1B 93, 2B 168, 3B 95, K 95, BB 113 — 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 ×1.014.

Result: wOBA .337 → .263; ISO .099 → .066; BABIP .312 → .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).

2022 AAAOklahoma City Dodgers · 234 PAwOBA .279 → .228 (−51)K% 24.8% → 29.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.79%	÷1.009	×1.200	—	—	29.48%
BB% (unintentional) /PA	11.11%	÷1.073	×0.690	—	×0.972	6.95%
HBP% /PA	0.85%	—	×0.940	—	×0.972	0.78%
Singles /BIP	25.34%	÷1.027	×0.930	×1.010	×0.972	22.52%
Doubles /BIP	6.16%	÷0.958	×0.830	×1.010	×0.972	5.25%
Triples /BIP	0.68%	÷0.955	×0.970	×1.010	×0.972	0.68%
Home runs /BIP	0.00%	÷0.997	×0.700	—	×0.972	0.00%

Factors used: league row International League. Park (home-season share, regressed): HR 99, 1B 105, 2B 92, 3B 91, K 102, BB 115 — 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 ×1.010.

Result: wOBA .279 → .228; ISO .054 → .048; BABIP .318 → .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).

2021 AAAOklahoma City Dodgers · 245 PAwOBA .324 → .272 (−53)K% 21.6% → 26.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.63%	÷0.994	×1.200	—	—	26.11%
BB% (unintentional) /PA	10.20%	÷1.015	×0.690	—	×0.982	6.81%
HBP% /PA	3.67%	—	×0.940	—	×0.982	3.39%
Singles /BIP	21.29%	÷0.958	×0.930	×1.001	×0.982	20.32%
Doubles /BIP	6.45%	÷0.941	×0.830	×1.001	×0.982	5.60%
Triples /BIP	0.65%	÷0.900	×0.920	×1.001	×0.982	0.65%
Home runs /BIP	3.87%	÷1.016	×0.700	—	×0.982	2.62%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 103, 1B 92, 2B 88, 3B 80, K 99, BB 103 — 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 ×1.001.

Result: wOBA .324 → .272; ISO .144 → .111; BABIP .293 → .271. 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 AAAAlbuquerque Isotopes · 58 PAwOBA .343 → .247 (−96)K% 25.9% → 34.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.86%	÷0.956	×1.290	—	—	34.89%
BB% (unintentional) /PA	5.17%	÷0.996	×0.710	—	×1.033	3.81%
HBP% /PA	1.72%	—	×0.980	—	×1.033	1.75%
Singles /BIP	15.38%	÷1.019	×0.900	—	×1.033	14.03%
Doubles /BIP	12.82%	÷1.045	×0.810	—	×1.033	10.27%
Triples /BIP	2.56%	÷1.150	×0.810	—	×1.033	1.87%
Home runs /BIP	5.13%	÷1.202	×0.780	—	×1.033	3.44%

Factors used: league row PCL. Park (home-season share, regressed): HR 140, 1B 104, 2B 109, 3B 130, K 91, BB 99 — 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 .343 → .247; ISO .241 → .156; BABIP .324 → .271. 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 AAAkron RubberDucks · 271 PAwOBA .259 → .231 (−28)K% 23.2% → 27.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.25%	÷1.019	×1.220	—	—	27.84%
BB% (unintentional) /PA	7.75%	÷0.934	×0.700	—	×1.027	5.96%
HBP% /PA	2.58%	—	×0.850	—	×1.027	2.25%
Singles /BIP	22.16%	÷0.971	×0.970	×0.965	×1.027	21.92%
Doubles /BIP	3.98%	÷1.053	×0.860	×0.965	×1.027	3.22%
Triples /BIP	1.14%	÷1.150	×0.950	×0.965	×1.027	0.93%
Home runs /BIP	1.14%	÷0.842	×0.780	—	×1.027	1.08%

Factors used: league row EL. Park (home-season share, regressed): HR 68, 1B 94, 2B 111, 3B 130, K 104, BB 87 — 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 ×0.965.

Result: wOBA .259 → .231; ISO .071 → .060; BABIP .273 → .260. 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 AAAkron RubberDucks · 387 PAwOBA .285 → .256 (−30)K% 19.1% → 24.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.12%	÷0.965	×1.220	—	—	24.17%
BB% (unintentional) /PA	8.79%	÷1.008	×0.700	—	×1.042	6.36%
HBP% /PA	0.78%	—	×0.850	—	×1.042	0.69%
Singles /BIP	25.09%	÷1.064	×0.970	×1.004	×1.042	23.92%
Doubles /BIP	5.62%	÷0.992	×0.860	×1.004	×1.042	5.10%
Triples /BIP	0.75%	÷0.900	×0.950	×1.004	×1.042	0.83%
Home runs /BIP	0.37%	÷0.881	×0.780	—	×1.042	0.35%

Factors used: league row EL. Park (home-season share, regressed): HR 76, 1B 113, 2B 98, 3B 80, K 93, BB 102 — 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 ×1.004.

Result: wOBA .285 → .256; ISO .065 → .061; BABIP .309 → .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).

2013 A+Carolina Mudcats · 340 PAwOBA .323 → .288 (−35)K% 17.1% → 24.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.06%	÷0.994	×1.420	—	—	24.38%
BB% (unintentional) /PA	12.06%	÷1.013	×0.630	—	×1.027	7.70%
HBP% /PA	0.88%	—	×0.860	—	×1.027	0.78%
Singles /BIP	27.71%	÷0.979	×0.940	×1.038	×1.027	28.35%
Doubles /BIP	5.63%	÷0.951	×0.830	×1.038	×1.027	5.24%
Triples /BIP	0.00%	÷1.150	×0.800	×1.038	×1.027	0.00%
Home runs /BIP	1.30%	÷1.024	×0.900	—	×1.027	1.17%

Factors used: league row CAR. Park (home-season share, regressed): HR 105, 1B 96, 2B 90, 3B 130, K 99, BB 103 — applied at half strength. Age: age 21 vs a level average of 22.8 → +2.7% on BB/HBP/hit rates (1.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.038.

Result: wOBA .323 → .288; ISO .076 → .069; BABIP .333 → .335. 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 A+Carolina Mudcats · 537 PAwOBA .314 → .264 (−51)K% 19.4% → 28.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.37%	÷0.963	×1.420	—	—	28.55%
BB% (unintentional) /PA	6.70%	÷1.035	×0.630	—	×1.042	4.25%
HBP% /PA	1.49%	—	×0.860	—	×1.042	1.34%
Singles /BIP	21.26%	÷1.054	×0.940	×1.036	×1.042	20.45%
Doubles /BIP	7.87%	÷1.054	×0.830	×1.036	×1.042	6.69%
Triples /BIP	2.10%	÷0.900	×0.800	×1.036	×1.042	2.01%
Home runs /BIP	2.10%	÷0.895	×0.900	—	×1.042	2.20%

Factors used: league row CAR. Park (home-season share, regressed): HR 79, 1B 111, 2B 111, 3B 80, K 93, BB 107 — applied at half strength. Age: age 20 vs a level average of 22.8 → +4.2% on BB/HBP/hit rates (2.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.036.

Result: wOBA .314 → .264; ISO .144 → .126; BABIP .316 → .296. 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 — .