Nevin Ashley

PosC

B/TR/R

Born1984-08-14

Age (2027)42

No MLB projection yet. Career stats below are historical.

Overview

AAALAST SEASON 2016

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2014	29	AAAPIT	234	.246/.335/.345	2	0	63	—	.215/.287/.306
2015	30	AAA/INTL2 orgs	414	.291/.368/.423	8	0	72	—	.242/.301/.346
2015	30	MLBMIL	21	.100/.143/.150	0	0	-17	0.6
2016	31	AAATEX	212	.232/.349/.373	5	1	65	—	.188/.278/.290
2017	32	No MLB games played
2018	33	No MLB games played
2019	34	No MLB games played
2020	35	No MLB games played
2021	36	No MLB games played
2022	37	No MLB games played
2023	38	No MLB games played
2024	39	No MLB games played
2025	40	No MLB games played
2026	41	No MLB games played

Last 3 seasons WAR 0.6

Contract

No contract data on file.

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)
2006	21	ROK	Princeton Devil Rays	—	185	153	51	8	1	4	21	40	9	7	3	333	443	477	920	144	427	22	11	410	91	—	—	—	—	—	—
2007	22	A	Columbus Catfish	—	490	429	120	13	8	12	49	92	4	20	8	280	359	431	790	152	325	19	10	348	84	—	—	—	—	—	—
2008	23	A+	Vero Beach Devil Rays	—	386	327	77	12	1	4	49	79	8	5	6	235	349	315	664	80	298	20	13	310	59	—	—	—	—	—	—
2009	24	AA	Montgomery Biscuits	—	139	118	25	7	1	1	18	31	3	0	0	212	331	314	644	102	279	22	13	302	50	—	—	—	—	—	—
2009	24	A+	Charlotte Stone Crabs	—	236	200	48	7	3	2	22	47	11	7	4	240	348	335	683	95	299	20	9	314	63	—	—	—	—	—	—
2010	25	AAA	Durham Bulls	—	26	24	4	0	0	1	1	7	0	1	0	167	200	292	492	125	188	27	4	211	-2	—	—	—	—	—	—
2010	25	AA	Montgomery Biscuits	—	391	341	87	14	3	7	34	76	9	4	2	255	339	375	714	120	303	19	9	319	69	—	—	—	—	—	—
2011	26	AAA	Durham Bulls	—	112	101	22	1	1	2	5	29	3	0	1	218	275	307	582	89	282	26	4	259	50	—	—	—	—	—	—
2011	26	AA	Montgomery Biscuits	—	332	279	78	15	2	6	36	66	14	2	3	280	389	412	801	133	344	20	11	362	95	—	—	—	—	—	—
2011	26	INTL	Gigantes del Cibao	—	110	99	22	4	1	1	7	32	1	0	0	222	280	313	594	91	309	29	6	263	64	—	—	—	—	—	—
2012	27	AAA	Durham Bulls	—	130	110	27	6	1	5	15	25	4	1	1	245	357	455	811	209	275	19	12	359	88	—	—	—	—	—	—
2012	27	ROK	GCL Rays	—	53	45	15	3	0	1	7	6	1	2	0	333	434	467	901	133	368	11	13	406	77	—	—	—	—	—	—
2013	28	AAA	Louisville Bats	—	278	238	56	13	1	6	31	59	3	4	1	235	331	374	705	139	286	21	11	314	61	—	—	—	—	—	—
2014	29	AAA	Indianapolis Indians	—	234	203	50	12	1	2	22	41	5	0	0	246	335	345	680	99	296	18	9	307	63	—	—	—	—	—	—
2015	30	MLB	Milwaukee Brewers	—	21	20	2	1	0	0	0	8	1	0	0	100	143	150	293	50	167	38	0	139	-17	-3	+0	+0	+8	+0	0.6
2015	30	AAA	Colorado Springs Sky Sox	—	381	337	103	14	4	8	32	72	7	0	2	306	378	442	820	136	364	19	8	363	76	—	—	—	—	—	—
2015	30	INTL	Toros del Este	—	33	27	3	2	0	0	3	6	2	0	0	111	250	185	435	74	143	18	9	213	30	—	—	—	—	—	—
2016	31	AAA	Round Rock Express	—	212	177	41	10	0	5	27	48	5	1	1	232	349	373	722	141	283	23	13	327	65	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	21	20	2	1	0	0	0	8	1	0	0	100	143	150	293	50	167	38	0	139	-20	-3	+0	+0	+8	+0	0.6
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2006	21	ROK MLE	Princeton Devil Rays	—	185	161	41	6	1	3	13	57	9	7	3	255	344	360	705	106	356	31	7	303	91	—	—	—	—	—	—
2007	22	A MLE	Columbus Catfish	—	490	447	111	11	8	10	31	123	4	20	8	248	303	376	679	128	304	25	6	292	84	—	—	—	—	—	—
2008	23	A+ MLE	Vero Beach Devil Rays	—	386	340	68	11	1	3	36	112	8	5	6	200	292	265	556	65	285	29	9	256	59	—	—	—	—	—	—
2009	24	AA MLE	Montgomery Biscuits	—	139	124	22	6	1	1	12	38	3	0	0	177	266	266	532	89	251	27	9	242	50	—	—	—	—	—	—
2009	24	A+ MLE	Charlotte Stone Crabs	—	236	206	41	6	2	2	16	67	11	7	4	199	292	277	569	78	277	28	7	261	63	—	—	—	—	—	—
2010	25	AAA MLE	Durham Bulls	—	26	24	4	0	0	1	1	9	0	1	0	167	200	292	492	125	169	35	4	165	-2	—	—	—	—	—	—
2010	25	AA MLE	Montgomery Biscuits	—	391	354	80	14	2	5	21	98	9	4	2	226	286	319	606	93	285	25	5	270	69	—	—	—	—	—	—
2011	26	AAA MLE	Durham Bulls	—	112	102	22	1	1	2	4	33	3	0	1	216	266	304	570	88	282	29	4	242	50	—	—	—	—	—	—
2011	26	AA MLE	Montgomery Biscuits	—	332	292	74	16	2	5	23	78	14	2	3	253	337	373	711	120	314	23	7	308	95	—	—	—	—	—	—
2012	27	AAA MLE	Durham Bulls	—	130	116	25	5	1	4	9	30	4	1	1	216	295	379	674	164	259	23	7	299	88	—	—	—	—	—	—
2012	27	ROK MLE	GCL Rays	—	53	48	12	2	0	1	4	9	1	2	0	250	321	354	675	104	275	17	8	282	77	—	—	—	—	—	—
2013	28	AAA MLE	Louisville Bats	—	278	251	52	12	1	5	18	74	3	4	1	207	268	323	591	116	261	27	6	258	61	—	—	—	—	—	—
2014	29	AAA MLE	Indianapolis Indians	—	234	209	45	11	1	2	16	51	5	0	0	215	287	306	593	91	265	22	7	261	63	—	—	—	—	—	—
2015	30	MLB MLE	Milwaukee Brewers	—	21	20	2	1	0	0	0	8	1	0	0	100	143	150	293	50	167	38	0	144	-17	-3	+0	+0	+8	+0	0.6
2015	30	AAA MLE	Colorado Springs Sky Sox	—	381	347	84	9	3	7	22	95	7	0	2	242	301	346	646	104	302	25	6	281	76	—	—	—	—	—	—
2016	31	AAA MLE	Round Rock Express	—	212	186	35	7	0	4	18	62	5	1	1	188	278	290	568	102	252	29	8	264	65	—	—	—	—	—	—
2006	21	ROK MLE	Princeton Devil Rays	—	185	161	41	6	1	3	13	57	9	7	3	255	344	360	705	106	373	31	7	303	91	—	—	—	—	—	—
2006	21	ROK RAW	Princeton Devil Rays	—	185	153	51	8	1	4	21	40	9	7	3	333	443	477	920	144	427	22	11	410	91	—	—	—	—	—	—
2007	22	A MLE	Columbus Catfish	—	490	447	111	11	8	10	31	123	4	20	8	248	303	376	679	128	315	25	6	292	84	—	—	—	—	—	—
2007	22	A RAW	Columbus Catfish	—	490	429	120	13	8	12	49	92	4	20	8	280	359	431	790	152	325	19	10	348	84	—	—	—	—	—	—
2008	23	A+ MLE	Vero Beach Devil Rays	—	386	340	68	11	1	3	36	112	8	5	6	200	292	265	556	65	288	29	9	256	59	—	—	—	—	—	—
2008	23	A+ RAW	Vero Beach Devil Rays	—	386	327	77	12	1	4	49	79	8	5	6	235	349	315	664	80	298	20	13	310	59	—	—	—	—	—	—
2009	24	A+ MLE	2 teams	—	375	330	64	13	3	2	28	105	14	7	4	194	285	270	555	76	274	28	7	254	58	—	—	—	—	—	—
2009	24	A+ RAW	2 teams	—	375	318	73	14	4	3	40	78	14	7	4	230	341	327	668	97	292	21	11	309	58	—	—	—	—	—	—
2010	25	AA MLE	2 teams	—	417	379	84	14	2	6	21	106	9	5	2	222	279	317	595	95	286	25	5	263	64	—	—	—	—	—	—
2010	25	AA RAW	2 teams	—	417	365	91	14	3	8	35	83	9	5	2	249	330	370	700	121	296	20	8	312	64	—	—	—	—	—	—
2011	26	AA MLE	3 teams	—	554	494	119	21	4	8	33	138	18	2	4	241	312	348	660	107	314	25	6	291	83	—	—	—	—	—	—
2011	26	AA RAW	3 teams	—	554	479	122	20	4	9	48	127	18	2	4	255	345	370	714	115	325	23	9	322	83	—	—	—	—	—	—
2012	27	AAA MLE	2 teams	—	183	164	37	7	1	5	13	38	5	3	1	226	302	372	674	146	264	21	7	294	85	—	—	—	—	—	—
2012	27	AAA RAW	2 teams	—	183	155	42	9	1	6	22	31	5	3	1	271	379	458	837	187	305	17	12	373	85	—	—	—	—	—	—
2013	28	AAA MLE	Louisville Bats	—	278	251	52	12	1	5	18	74	3	4	1	207	268	323	591	116	270	27	6	258	61	—	—	—	—	—	—
2013	28	AAA RAW	Louisville Bats	—	278	238	56	13	1	6	31	59	3	4	1	235	331	374	705	139	286	21	11	314	61	—	—	—	—	—	—
2014	29	AAA MLE	Indianapolis Indians	—	234	209	45	11	1	2	16	51	5	0	0	215	287	306	593	91	272	22	7	261	63	—	—	—	—	—	—
2014	29	AAA RAW	Indianapolis Indians	—	234	203	50	12	1	2	22	41	5	0	0	246	335	345	680	99	296	18	9	307	63	—	—	—	—	—	—
2015	30	AAA MLE	3 teams	—	435	396	93	11	3	7	23	111	10	0	2	235	294	331	625	96	305	26	5	274	71	—	—	—	—	—	—
2015	30	AAA RAW	3 teams	—	435	384	108	17	4	8	35	86	10	0	2	281	357	409	765	128	340	20	8	341	71	—	—	—	—	—	—
2016	31	AAA MLE	Round Rock Express	—	212	186	35	7	0	4	18	62	5	1	1	188	278	290	568	102	252	29	8	264	65	—	—	—	—	—	—
2016	31	AAA RAW	Round Rock Express	—	212	177	41	10	0	5	27	48	5	1	1	232	349	373	722	141	283	23	13	327	65	—	—	—	—	—	—
2006	21	ROK MLE	Princeton Devil Rays	—	185	161	41	6	1	3	13	57	9	7	3	255	344	360	705	106	356	31	7	303	91	—	—	—	—	—	—
2007	22	A MLE	Columbus Catfish	—	490	452	111	11	8	10	31	123	4	20	8	246	303	372	675	126	304	25	6	292	84	—	—	—	—	—	—
2008	23	A+ MLE	Vero Beach Devil Rays	—	386	339	68	11	1	3	36	112	8	5	6	201	292	265	557	65	285	29	9	256	59	—	—	—	—	—	—
2009	24	A+ MLE	2 teams	—	375	330	64	13	3	2	28	105	14	7	4	194	285	270	555	76	267	28	7	254	58	—	—	—	—	—	—
2010	25	AA MLE	2 teams	—	417	384	84	14	2	6	21	106	9	5	2	219	279	312	591	94	278	25	5	263	64	—	—	—	—	—	—
2011	26	AA MLE	3 teams	—	554	498	119	21	4	8	33	138	18	2	4	239	312	345	657	106	306	25	6	291	83	—	—	—	—	—	—
2012	27	AAA MLE	2 teams	—	183	163	37	7	1	5	13	38	5	3	1	227	302	374	676	147	264	21	7	294	85	—	—	—	—	—	—
2013	28	AAA MLE	Louisville Bats	—	278	255	52	12	1	5	18	74	3	4	1	204	268	318	586	114	261	27	6	258	61	—	—	—	—	—	—
2014	29	AAA MLE	Indianapolis Indians	—	234	211	45	11	1	2	16	51	5	0	0	213	287	303	590	90	265	22	7	261	63	—	—	—	—	—	—
2015	30	AAA MLE	3 teams	—	435	399	93	11	3	7	23	111	10	0	2	233	294	328	622	95	295	26	5	274	71	—	—	—	—	—	—
2016	31	AAA MLE	Round Rock Express	—	212	187	35	7	0	4	18	62	5	1	1	187	278	289	566	102	252	29	8	264	65	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	21	20	2	1	0	0	0	8	1	0	0	100	143	150	293	50	167	38	0	139	71	-3	+0	+0	+8	+0	0.6
/ 162G	—	A+C		—	650	619	62	31	0	0	0	248	31	0	0	100	143	150	293	50	167	38	0	139	71	-93	+0	+9	+240	+14	17.5
Career	—	MLE		—	3749	3357	749	124	25	55	250	977	90	54	32	223	295	324	619	101	294	26	7	274	71	-3	+0	+0	+8	+0	0.6
/ 162G	—	MLE		—	650	582	129	21	4	10	43	169	16	9	6	222	293	323	616	101	291	26	7	274	71	-93	+0	+9	+240	+14	17.5

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.

2016 AAARound Rock Express · 212 PAwOBA .323 → .264 (−60)K% 22.6% → 29.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.64%	÷1.004	×1.290	—	—	29.10%
BB% (unintentional) /PA	12.74%	÷1.039	×0.710	—	×0.952	8.28%
HBP% /PA	2.36%	—	×0.980	—	×0.952	2.20%
Singles /BIP	20.16%	÷0.949	×0.900	×1.050	×0.952	19.10%
Doubles /BIP	7.75%	÷1.079	×0.810	×1.050	×0.952	5.82%
Triples /BIP	0.00%	÷0.977	×0.810	×1.050	×0.952	0.00%
Home runs /BIP	3.88%	÷0.839	×0.780	—	×0.952	3.43%

Factors used: league row PCL. Park (home-season share, regressed): HR 68, 1B 90, 2B 116, 3B 95, K 101, BB 108 — 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 ×1.050.

Result: wOBA .323 → .264; ISO .141 → .117; BABIP .283 → .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).

2015 AAAColorado Springs Sky Sox · 381 PAwOBA .357 → .281 (−76)K% 18.9% → 24.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.90%	÷0.979	×1.290	—	—	24.90%
BB% (unintentional) /PA	8.40%	÷1.015	×0.710	—	×0.962	5.65%
HBP% /PA	1.84%	—	×0.980	—	×0.962	1.73%
Singles /BIP	29.06%	÷1.044	×0.900	×1.048	×0.962	25.25%
Doubles /BIP	5.28%	÷1.214	×0.810	×1.048	×0.962	3.55%
Triples /BIP	1.51%	÷1.150	×0.810	×1.048	×0.962	1.07%
Home runs /BIP	3.02%	÷0.886	×0.780	—	×0.962	2.56%

Factors used: league row PCL. Park (home-season share, regressed): HR 77, 1B 109, 2B 143, 3B 130, K 96, BB 103 — 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 ×1.048.

Result: wOBA .357 → .281; ISO .136 → .102; BABIP .364 → .302. 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 AAAIndianapolis Indians · 234 PAwOBA .302 → .261 (−41)K% 17.5% → 21.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.52%	÷0.968	×1.200	—	—	21.72%
BB% (unintentional) /PA	9.40%	÷0.944	×0.690	—	×0.972	6.68%
HBP% /PA	2.14%	—	×0.940	—	×0.972	1.95%
Singles /BIP	21.60%	÷1.068	×0.930	×1.050	×0.972	19.20%
Doubles /BIP	7.41%	÷0.932	×0.830	×1.050	×0.972	6.73%
Triples /BIP	0.62%	÷1.150	×0.970	×1.050	×0.972	0.53%
Home runs /BIP	1.23%	÷0.854	×0.840	—	×0.972	1.18%

Factors used: league row IL. Park (home-season share, regressed): HR 71, 1B 114, 2B 86, 3B 130, K 94, BB 89 — 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 ×1.050.

Result: wOBA .302 → .261; ISO .099 → .091; BABIP .296 → .265. 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 AAALouisville Bats · 278 PAwOBA .305 → .258 (−47)K% 21.2% → 26.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.22%	÷0.961	×1.200	—	—	26.49%
BB% (unintentional) /PA	10.43%	÷1.075	×0.690	—	×0.982	6.58%
HBP% /PA	1.08%	—	×0.940	—	×0.982	1.00%
Singles /BIP	20.11%	÷1.000	×0.930	×1.021	×0.982	18.75%
Doubles /BIP	7.26%	÷0.960	×0.830	×1.021	×0.982	6.29%
Triples /BIP	0.56%	÷0.900	×0.970	×1.021	×0.982	0.60%
Home runs /BIP	3.35%	÷1.038	×0.840	—	×0.982	2.66%

Factors used: league row IL. Park (home-season share, regressed): HR 108, 1B 100, 2B 92, 3B 80, K 92, BB 115 — 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 ×1.021.

Result: wOBA .305 → .258; ISO .139 → .119; BABIP .286 → .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).

2012 AAADurham Bulls · 130 PAwOBA .347 → .299 (−48)K% 19.2% → 22.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.23%	÷1.008	×1.200	—	—	22.89%
BB% (unintentional) /PA	10.77%	÷1.046	×0.690	—	×0.992	7.04%
HBP% /PA	3.08%	—	×0.940	—	×0.992	2.87%
Singles /BIP	17.65%	÷0.987	×0.930	×1.050	×0.992	17.31%
Doubles /BIP	7.06%	÷0.998	×0.830	×1.050	×0.992	6.12%
Triples /BIP	1.18%	÷0.942	×0.970	×1.050	×0.992	1.26%
Home runs /BIP	5.88%	÷1.093	×0.840	—	×0.992	4.48%

Factors used: league row IL. Park (home-season share, regressed): HR 119, 1B 97, 2B 100, 3B 88, K 102, BB 109 — 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 ×1.050.

Result: wOBA .347 → .299; ISO .209 → .175; BABIP .275 → .259. 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 ROKGCL Rays · 53 PAwOBA .396 → .282 (−114)K% 11.3% → 16.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	11.32%	÷1.000	×1.440	—	—	16.30%
BB% (unintentional) /PA	13.21%	÷1.000	×0.620	—	×0.940	7.70%
HBP% /PA	1.89%	—	×0.720	—	×0.940	1.28%
Singles /BIP	28.21%	÷1.000	×0.820	—	×0.940	21.74%
Doubles /BIP	7.69%	÷1.000	×0.720	—	×0.940	5.21%
Triples /BIP	0.00%	÷1.000	×0.720	—	×0.940	0.00%
Home runs /BIP	2.56%	÷1.000	×0.780	—	×0.940	1.88%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 28 vs a level average of 19.5 → −6.0% on BB/HBP/hit rates (8.5 yr older than average).

Result: wOBA .396 → .282; ISO .133 → .095; BABIP .368 → .275. 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 AAMontgomery Biscuits · 332 PAwOBA .353 → .308 (−45)K% 19.9% → 23.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.88%	÷1.035	×1.220	—	—	23.44%
BB% (unintentional) /PA	10.24%	÷0.983	×0.680	—	×0.978	6.93%
HBP% /PA	4.22%	—	×0.840	—	×0.978	3.46%
Singles /BIP	25.82%	÷1.034	×0.920	×1.024	×0.978	23.00%
Doubles /BIP	7.04%	÷0.902	×0.910	×1.024	×0.978	7.12%
Triples /BIP	0.94%	÷0.994	×0.880	×1.024	×0.978	0.83%
Home runs /BIP	2.82%	÷0.974	×0.800	—	×0.978	2.26%

Factors used: league row SL. Park (home-season share, regressed): HR 95, 1B 107, 2B 80, 3B 99, K 107, BB 97 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.024.

Result: wOBA .353 → .308; ISO .133 → .123; BABIP .344 → .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).

2011 AAADurham Bulls · 112 PAwOBA .255 → .242 (−12)K% 25.9% → 29.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.89%	÷1.051	×1.200	—	—	29.55%
BB% (unintentional) /PA	4.46%	÷0.938	×0.690	—	×1.003	3.29%
HBP% /PA	2.68%	—	×0.940	—	×1.003	2.53%
Singles /BIP	25.00%	÷0.969	×0.930	×1.050	×1.003	25.27%
Doubles /BIP	1.39%	÷0.994	×0.830	×1.050	×1.003	1.22%
Triples /BIP	1.39%	÷1.017	×0.970	×1.050	×1.003	1.40%
Home runs /BIP	2.78%	÷0.960	×0.840	—	×1.003	2.44%

Factors used: league row IL. Park (home-season share, regressed): HR 92, 1B 94, 2B 99, 3B 103, K 110, BB 88 — 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 ×1.050.

Result: wOBA .255 → .242; ISO .089 → .081; BABIP .282 → .282. 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 — .