Dustin Martin

PosCF

B/TL/L

Born1984-04-04

Age (2027)43

No MLB projection yet. Career stats below are historical.

Overview

INTLLAST SEASON 2018

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2016	32	AAA/INTL2 orgs	500	.325/.424/.536	19	33	117	—	.284/.343/.427
2017	33	AAA/INTL2 orgs	514	.262/.391/.445	17	24	84	—	.209/.287/.352
2018	34	INTLYaquis de Obr…	95	.303/.442/.342	0	2	137	—

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.

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	23	A+	Fort Myers Miracle	—	548	482	139	30	6	8	53	118	4	16	7	288	364	425	789	137	362	22	10	348	86	—	—	—	—	—	—
2008	24	AA	New Britain Rock Cats	—	573	510	148	34	8	10	49	125	5	22	11	290	358	447	805	157	363	22	9	353	96	—	—	—	—	—	—
2009	25	AAA	Rochester Red Wings	—	470	422	107	16	5	5	39	92	4	26	8	254	323	351	673	97	309	20	8	303	68	—	—	—	—	—	—
2010	26	AAA	Rochester Red Wings	—	537	483	124	24	7	11	52	138	0	12	7	257	329	404	733	147	338	26	10	327	75	—	—	—	—	—	—
2010	26	INTL	Tigres de Aragua	—	48	42	12	1	1	1	5	6	1	0	0	286	375	429	804	143	314	12	10	361	131	—	—	—	—	—	—
2011	27	AAA	Rochester Red Wings	—	554	490	130	26	5	15	54	108	5	9	9	265	344	431	775	165	309	19	10	343	78	—	—	—	—	—	—
2012	28	AAA	Buffalo Bisons	—	79	74	19	7	0	1	4	20	0	2	0	257	295	392	687	135	333	25	5	301	62	—	—	—	—	—	—
2012	28	AA	Binghamton Mets	—	280	241	69	12	5	6	36	58	1	9	6	286	381	452	834	166	356	21	13	369	95	—	—	—	—	—	—
2012	28	INTL	Bravos de Margarita	—	18	17	1	0	0	0	1	8	0	0	0	59	111	59	170		111	44	6	89	-54	—	—	—	—	—	—
2013	29	AA	Mobile BayBears	—	249	217	64	13	4	8	28	50	2	12	2	295	381	502	883	207	348	20	11	386	93	—	—	—	—	—	—
2014	30	AAA	Reno Aces	—	47	43	9	2	0	2	4	8	0	1	0	209	277	395	672	186	212	17	9	299	27	—	—	—	—	—	—
2014	30	AA	Mobile BayBears	—	268	229	67	15	0	8	37	51	1	5	3	293	393	463	856	170	345	19	14	382	99	—	—	—	—	—	—
2015	31	AAA	Toros de Tijuana	—	189	167	58	15	0	10	17	44	2	12	1	347	414	617	1.031	269	414	23	9	441	111	—	—	—	—	—	—
2015	31	INTL	Yaquis de Obregon	—	184	166	50	9	0	5	13	35	2	4	3	301	359	446	805	145	352	19	7	354	126	—	—	—	—	—	—
2016	32	AAA	Toros de Tijuana	—	479	403	131	24	3	19	66	89	6	32	6	325	427	541	968	216	375	19	14	423	117	—	—	—	—	—	—
2016	32	INTL	Yaquis de Obregon	—	21	19	6	2	0	0	1	2	0	1	0	316	350	421	771	105	333	10	5	328	108	—	—	—	—	—	—
2017	33	AAA	Toros de Tijuana	—	472	383	99	25	0	16	81	109	3	24	12	258	392	449	841	191	317	23	17	374	80	—	—	—	—	—	—
2017	33	INTL	Yaquis de Obregon	—	42	37	11	1	0	1	5	8	0	0	2	297	381	405	786	108	357	19	12	357	128	—	—	—	—	—	—
2018	34	INTL	Yaquis de Obregon	—	95	76	23	3	0	0	18	19	1	2	1	303	442	342	784	39	404	20	19	371	137	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2007	23	A+ MLE	Fort Myers Miracle	—	548	498	125	28	5	7	37	168	4	16	7	251	308	369	677	118	349	31	7	295	86	—	—	—	—	—	—
2008	24	AA MLE	New Britain Rock Cats	—	573	527	142	30	8	8	32	152	5	22	11	269	317	402	720	133	350	27	6	310	96	—	—	—	—	—	—
2009	25	AAA MLE	Rochester Red Wings	—	470	437	102	14	5	4	24	110	4	26	8	233	280	316	595	82	297	23	5	269	68	—	—	—	—	—	—
2010	26	AAA MLE	Rochester Red Wings	—	537	501	116	20	8	10	34	162	0	12	7	232	280	363	644	132	321	30	6	279	75	—	—	—	—	—	—
2011	27	AAA MLE	Rochester Red Wings	—	554	507	118	22	4	11	37	136	5	9	9	233	291	357	648	124	288	25	7	283	78	—	—	—	—	—	—
2012	28	AAA MLE	Buffalo Bisons	—	79	75	17	6	0	1	3	24	0	2	0	227	256	347	603	120	314	30	4	260	62	—	—	—	—	—	—
2012	28	AA MLE	Binghamton Mets	—	280	252	64	11	4	5	25	71	1	9	6	254	324	389	713	135	331	25	9	308	95	—	—	—	—	—	—
2013	29	AA MLE	Mobile BayBears	—	249	228	55	11	3	6	17	62	2	12	2	241	300	395	694	154	302	25	7	305	93	—	—	—	—	—	—
2014	30	AAA MLE	Reno Aces	—	47	44	6	1	0	1	3	11	0	1	0	136	191	227	419	91	169	23	6	208	27	—	—	—	—	—	—
2014	30	AA MLE	Mobile BayBears	—	268	243	61	14	0	7	23	63	1	5	3	251	318	395	713	144	312	24	9	314	99	—	—	—	—	—	—
2015	31	AAA MLE	Toros de Tijuana	—	189	174	49	12	0	6	10	54	2	12	1	282	328	454	782	172	353	29	5	332	111	—	—	—	—	—	—
2016	32	AAA MLE	Toros de Tijuana	—	479	436	124	23	3	11	33	101	6	32	6	284	343	427	770	142	337	21	7	341	117	—	—	—	—	—	—
2017	33	AAA MLE	Toros de Tijuana	—	472	421	88	21	0	13	43	131	3	24	12	209	287	352	638	143	262	28	9	287	80	—	—	—	—	—	—
2007	23	A+ MLE	Fort Myers Miracle	—	548	498	125	28	5	7	37	168	4	16	7	251	308	369	677	118	359	31	7	295	86	—	—	—	—	—	—
2007	23	A+ RAW	Fort Myers Miracle	—	548	482	139	30	6	8	53	118	4	16	7	288	364	425	789	137	362	22	10	348	86	—	—	—	—	—	—
2008	24	AA MLE	New Britain Rock Cats	—	573	527	142	30	8	8	32	152	5	22	11	269	317	402	720	133	360	27	6	310	96	—	—	—	—	—	—
2008	24	AA RAW	New Britain Rock Cats	—	573	510	148	34	8	10	49	125	5	22	11	290	358	447	805	157	363	22	9	353	96	—	—	—	—	—	—
2009	25	AAA MLE	Rochester Red Wings	—	470	437	102	14	5	4	24	110	4	26	8	233	280	316	595	82	299	23	5	269	68	—	—	—	—	—	—
2009	25	AAA RAW	Rochester Red Wings	—	470	422	107	16	5	5	39	92	4	26	8	254	323	351	673	97	309	20	8	303	68	—	—	—	—	—	—
2010	26	AAA MLE	2 teams	—	585	545	126	22	8	11	37	176	1	12	7	231	281	361	643	130	321	30	6	279	75	—	—	—	—	—	—
2010	26	AAA RAW	2 teams	—	585	525	136	25	8	12	57	144	1	12	7	259	333	406	738	147	336	25	10	330	75	—	—	—	—	—	—
2011	27	AAA MLE	Rochester Red Wings	—	554	507	118	22	4	11	37	136	5	9	9	233	291	357	648	124	293	25	7	283	78	—	—	—	—	—	—
2011	27	AAA RAW	Rochester Red Wings	—	554	490	130	26	5	15	54	108	5	9	9	265	344	431	775	165	309	19	10	343	78	—	—	—	—	—	—
2012	28	AA MLE	3 teams	—	377	344	86	18	5	6	29	100	1	11	6	250	310	384	694	134	335	27	8	297	87	—	—	—	—	—	—
2012	28	AA RAW	3 teams	—	377	332	89	19	5	7	41	86	1	11	6	268	350	419	769	151	342	23	11	342	87	—	—	—	—	—	—
2013	29	AA MLE	Mobile BayBears	—	249	228	55	11	3	6	17	62	2	12	2	241	300	395	694	154	302	25	7	305	93	—	—	—	—	—	—
2013	29	AA RAW	Mobile BayBears	—	249	217	64	13	4	8	28	50	2	12	2	295	381	502	883	207	348	20	11	386	93	—	—	—	—	—	—
2014	30	AA MLE	2 teams	—	315	288	69	16	0	8	25	73	1	6	3	240	303	378	681	139	293	23	8	298	88	—	—	—	—	—	—
2014	30	AA RAW	2 teams	—	315	272	76	17	0	10	41	59	1	6	3	279	376	452	828	173	324	19	13	369	88	—	—	—	—	—	—
2015	31	AAA MLE	2 teams	—	373	342	94	23	0	11	21	107	4	16	4	275	324	439	763	164	362	29	6	332	111	—	—	—	—	—	—
2015	31	AAA RAW	2 teams	—	373	333	108	24	0	15	30	79	4	16	4	324	387	532	918	207	381	21	8	398	111	—	—	—	—	—	—
2016	32	AAA MLE	2 teams	—	500	455	128	24	3	11	34	105	6	33	6	281	339	420	759	138	340	21	7	341	117	—	—	—	—	—	—
2016	32	AAA RAW	2 teams	—	500	422	137	26	3	19	67	91	6	33	6	325	424	536	960	211	372	18	13	419	117	—	—	—	—	—	—
2017	33	AAA MLE	2 teams	—	514	459	95	22	0	14	47	142	3	24	14	207	285	346	631	139	264	28	9	287	80	—	—	—	—	—	—
2017	33	AAA RAW	2 teams	—	514	420	110	26	0	17	86	117	3	24	14	262	391	445	836	183	321	23	17	373	80	—	—	—	—	—	—
2018	34	INTL MLE	Yaquis de Obregon	—	95	76	23	3	0	0	18	19	1	2	1	303	442	342	784	39	404	20	19	—	—	—	—	—	—	—	—
2018	34	INTL RAW	Yaquis de Obregon	—	95	76	23	3	0	0	18	19	1	2	1	303	442	342	784	39	404	20	19	371	137	—	—	—	—	—	—
2007	23	A+ MLE	Fort Myers Miracle	—	548	502	125	28	5	7	37	168	4	16	7	249	308	367	675	118	349	31	7	295	86	—	—	—	—	—	—
2008	24	AA MLE	New Britain Rock Cats	—	573	531	142	30	8	8	32	152	5	22	11	267	317	399	717	132	350	27	6	310	96	—	—	—	—	—	—
2009	25	AAA MLE	Rochester Red Wings	—	470	439	102	14	5	4	24	110	4	26	8	232	280	314	594	82	297	23	5	269	68	—	—	—	—	—	—
2010	26	AAA MLE	2 teams	—	585	542	126	22	8	11	37	176	1	12	7	232	281	363	645	131	321	30	6	279	75	—	—	—	—	—	—
2011	27	AAA MLE	Rochester Red Wings	—	554	507	118	22	4	11	37	136	5	9	9	233	291	357	648	124	288	25	7	283	78	—	—	—	—	—	—
2012	28	AA MLE	3 teams	—	377	344	86	18	5	6	29	100	1	11	6	250	310	384	694	134	327	27	8	297	87	—	—	—	—	—	—
2013	29	AA MLE	Mobile BayBears	—	249	228	55	11	3	6	17	62	2	12	2	241	300	395	694	154	302	25	7	305	93	—	—	—	—	—	—
2014	30	AA MLE	2 teams	—	315	286	69	16	0	8	25	73	1	6	3	241	303	381	684	140	291	23	8	298	88	—	—	—	—	—	—
2015	31	AAA MLE	2 teams	—	373	345	94	23	0	11	21	107	4	16	4	272	324	435	759	162	353	29	6	332	111	—	—	—	—	—	—
2016	32	AAA MLE	2 teams	—	500	456	128	24	3	11	34	105	6	33	6	281	339	419	758	138	337	21	7	341	117	—	—	—	—	—	—
2017	33	AAA MLE	2 teams	—	514	459	95	22	0	14	47	142	3	24	14	207	285	346	631	139	262	28	9	287	80	—	—	—	—	—	—
▸ Career Totals
Career	—	MLE		—	5153	4706	1163	233	41	97	358	1350	37	189	78	247	305	376	681	129	323	26	7	293	84	-96	+7	+0	+18	+112	4.2
/ 162G	—	MLE		—	650	594	146	29	5	12	45	170	5	24	10	246	305	372	677	126	321	26	7	293	84	-12	+1	+0	+2	+14	0.5

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.

2017 AAAToros de Tijuana · 472 PAwOBA .360 → .287 (−73)K% 23.1% → 27.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.09%	÷0.999	×1.200	—	—	27.74%
BB% (unintentional) /PA	14.62%	÷1.033	×0.690	—	×0.942	9.20%
HBP% /PA	0.64%	—	×0.940	—	×0.942	0.56%
Singles /BIP	21.17%	÷0.988	×0.930	×0.984	×0.942	18.47%
Doubles /BIP	9.12%	÷1.007	×0.830	×0.984	×0.942	6.97%
Triples /BIP	0.00%	÷1.150	×0.920	×0.984	×0.942	0.00%
Home runs /BIP	5.84%	÷0.892	×0.700	—	×0.942	4.32%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 78, 1B 98, 2B 101, 3B 130, K 100, BB 107 — applied at half strength. Age: age 33 vs a level average of 27.2 → −5.8% on BB/HBP/hit rates (5.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.984.

Result: wOBA .360 → .287; ISO .191 → .153; BABIP .317 → .262. 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 AAAToros de Tijuana · 479 PAwOBA .407 → .341 (−66)K% 18.6% → 21.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.58%	÷1.062	×1.200	—	—	21.00%
BB% (unintentional) /PA	10.86%	÷1.055	×0.690	—	×0.952	6.76%
HBP% /PA	1.25%	—	×0.940	—	×0.952	1.12%
Singles /BIP	27.07%	÷0.967	×0.930	×1.026	×0.952	25.43%
Doubles /BIP	7.64%	÷0.926	×0.830	×1.026	×0.952	6.69%
Triples /BIP	0.96%	÷0.941	×0.920	×1.026	×0.952	0.91%
Home runs /BIP	6.05%	÷1.278	×0.700	—	×0.952	3.15%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 156, 1B 93, 2B 85, 3B 88, K 112, BB 111 — 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 ×1.026.

Result: wOBA .407 → .341; ISO .216 → .152; BABIP .375 → .337. 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 AAAToros de Tijuana · 189 PAwOBA .434 → .332 (−102)K% 23.3% → 28.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.28%	÷0.978	×1.200	—	—	28.57%
BB% (unintentional) /PA	8.47%	÷1.013	×0.690	—	×0.962	5.55%
HBP% /PA	1.06%	—	×0.940	—	×0.962	0.96%
Singles /BIP	26.83%	÷0.982	×0.930	×1.019	×0.962	24.88%
Doubles /BIP	12.20%	÷1.026	×0.830	×1.019	×0.962	9.67%
Triples /BIP	0.00%	÷1.046	×0.920	×1.019	×0.962	0.00%
Home runs /BIP	8.13%	÷1.208	×0.700	—	×0.962	4.53%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 142, 1B 96, 2B 105, 3B 109, 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 ×1.019.

Result: wOBA .434 → .332; ISO .269 → .171; BABIP .414 → .353. 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 AAMobile BayBears · 268 PAwOBA .372 → .314 (−58)K% 19.0% → 23.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.03%	÷0.993	×1.220	—	—	23.37%
BB% (unintentional) /PA	13.43%	÷1.030	×0.680	—	×0.948	8.40%
HBP% /PA	0.37%	—	×0.840	—	×0.948	0.30%
Singles /BIP	24.72%	÷1.018	×0.920	×1.050	×0.948	22.24%
Doubles /BIP	8.43%	÷0.965	×0.910	×1.050	×0.948	7.91%
Triples /BIP	0.00%	÷1.038	×0.880	×1.050	×0.948	0.00%
Home runs /BIP	4.49%	÷0.902	×0.800	—	×0.948	3.78%

Factors used: league row SL. Park (home-season share, regressed): HR 80, 1B 104, 2B 93, 3B 108, K 99, BB 106 — applied at half strength. Age: age 30 vs a level average of 24.8 → −5.2% on BB/HBP/hit rates (5.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .372 → .314; ISO .170 → .153; BABIP .345 → .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 AAAReno Aces · 47 PAwOBA .291 → .208 (−83)K% 17.0% → 22.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.02%	÷0.965	×1.290	—	—	22.76%
BB% (unintentional) /PA	8.51%	÷1.049	×0.710	—	×0.972	5.60%
HBP% /PA	0.00%	—	×0.980	—	×0.972	0.00%
Singles /BIP	14.29%	÷1.047	×0.900	—	×0.972	11.94%
Doubles /BIP	5.71%	÷1.047	×0.810	—	×0.972	4.30%
Triples /BIP	0.00%	÷1.150	×0.810	—	×0.972	0.00%
Home runs /BIP	5.71%	÷1.116	×0.780	—	×0.972	3.88%

Factors used: league row PCL. Park (home-season share, regressed): HR 123, 1B 109, 2B 109, 3B 130, K 93, BB 110 — 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).

Result: wOBA .291 → .208; ISO .186 → .125; BABIP .212 → .169. 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 AAMobile BayBears · 249 PAwOBA .376 → .305 (−71)K% 20.1% → 24.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.08%	÷0.993	×1.220	—	—	24.67%
BB% (unintentional) /PA	10.44%	÷0.994	×0.680	—	×0.958	6.84%
HBP% /PA	0.80%	—	×0.840	—	×0.958	0.65%
Singles /BIP	23.35%	÷1.022	×0.920	×1.042	×0.958	20.98%
Doubles /BIP	7.78%	÷1.089	×0.910	×1.042	×0.958	6.49%
Triples /BIP	2.40%	÷1.023	×0.880	×1.042	×0.958	2.06%
Home runs /BIP	4.79%	÷1.071	×0.800	—	×0.958	3.43%

Factors used: league row SL. Park (home-season share, regressed): HR 114, 1B 104, 2B 118, 3B 105, K 99, BB 99 — applied at half strength. Age: age 29 vs a level average of 24.8 → −4.2% on BB/HBP/hit rates (4.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.042.

Result: wOBA .376 → .305; ISO .207 → .163; BABIP .348 → .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).

2012 AABinghamton Mets · 280 PAwOBA .360 → .308 (−52)K% 20.7% → 25.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.71%	÷0.989	×1.220	—	—	25.54%
BB% (unintentional) /PA	12.86%	÷0.990	×0.700	—	×0.968	8.80%
HBP% /PA	0.36%	—	×0.850	—	×0.968	0.29%
Singles /BIP	25.14%	÷1.036	×0.970	×1.050	×0.968	23.91%
Doubles /BIP	6.56%	÷0.967	×0.860	×1.050	×0.968	5.93%
Triples /BIP	2.73%	÷1.093	×0.950	×1.050	×0.968	2.41%
Home runs /BIP	3.28%	÷0.932	×0.780	—	×0.968	2.66%

Factors used: league row EL. Park (home-season share, regressed): HR 86, 1B 107, 2B 93, 3B 119, K 98, BB 98 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .360 → .308; ISO .166 → .142; BABIP .356 → .331. 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 AAABuffalo Bisons · 79 PAwOBA .297 → .260 (−37)K% 25.3% → 30.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.32%	÷0.989	×1.200	—	—	30.72%
BB% (unintentional) /PA	5.06%	÷1.002	×0.690	—	×0.992	3.46%
HBP% /PA	0.00%	—	×0.940	—	×0.992	0.00%
Singles /BIP	20.37%	÷0.992	×0.930	×1.048	×0.992	19.85%
Doubles /BIP	12.96%	÷0.963	×0.830	×1.048	×0.992	11.61%
Triples /BIP	0.00%	÷1.002	×0.970	×1.048	×0.992	0.00%
Home runs /BIP	1.85%	÷0.901	×0.840	—	×0.992	1.71%

Factors used: league row IL. Park (home-season share, regressed): HR 80, 1B 98, 2B 93, 3B 100, K 98, BB 100 — 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 ×1.048.

Result: wOBA .297 → .260; ISO .135 → .118; BABIP .333 → .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).

Not traceable per stint: some stints lack the counting stats the component translation needs. Level-wide factors that apply instead — .