Darin Mastroianni

PosRF

B/TR/R

Born1985-08-26

Age (2027)41

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	28	AAATOR	413	.277/.355/.379	5	20	67	—	.235/.292/.315
2014	28	MLBTOR	44	.116/.136/.186	1	1	-16	-0.8
2015	29	AAASyracuse Chie…	484	.257/.310/.345	3	25	46	—	.215/.256/.279
2016	30	AAA/AA2 orgs	305	.247/.315/.309	1	13	44	—	.212/.262/.258
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 -0.8

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)
2008	22	A	Lansing Lugnuts	—	369	325	74	10	4	3	31	77	4	30	1	228	303	311	614	83	289	21	8	276	36	—	—	—	—	—	—
2009	23	AA	New Hampshire Fisher Cats	—	292	247	67	10	2	1	39	45	1	38	8	271	373	340	713	69	327	15	13	325	81	—	—	—	—	—	—
2009	23	A+	Dunedin Blue Jays	—	274	231	75	11	2	0	37	38	4	32	7	325	426	390	816	65	389	14	14	373	101	—	—	—	—	—	—
2010	24	AA	New Hampshire Fisher Cats	—	617	525	158	25	7	4	77	96	3	46	10	301	393	398	791	97	358	16	12	353	100	—	—	—	—	—	—
2010	24	INTL	Aguilas del Zulia	—	147	126	46	5	2	1	20	20	0	11	4	365	452	460	912	95	425	14	14	409	163	—	—	—	—	—	—
2011	25	AAA	Las Vegas 51s	—	365	319	88	18	6	2	40	54	1	20	7	276	357	389	746	113	327	15	11	333	73	—	—	—	—	—	—
2011	25	AA	New Hampshire Fisher Cats	—	198	169	43	8	3	1	22	24	2	14	3	254	347	355	702	101	286	12	11	313	72	—	—	—	—	—	—
2011	25	INTL	Aguilas del Zulia	—	126	102	26	3	1	2	17	23	2	6	2	255	372	363	735	108	308	18	13	326	107	—	—	—	—	—	—
2012	26	MLB	Minnesota Twins	—	186	163	41	3	2	3	18	45	1	21	3	252	330	350	679	98	328	24	10	304	92	-2	+3	+4	-4	+4	0.5
2012	26	AAA	Rochester Red Wings	—	85	78	27	2	2	0	5	14	1	10	1	346	393	423	816	77	422	16	6	363	93	—	—	—	—	—	—
2012	26	AA	New Britain Rock Cats	—	40	35	5	1	0	0	4	11	0	4	1	143	231	171	402	29	208	28	10	192	-15	—	—	—	—	—	—
2012	26	INTL	Aguilas del Zulia	—	108	86	22	4	0	1	18	15	0	8	3	256	385	337	722	81	296	14	17	326	106	—	—	—	—	—	—
2013	27	MLB	Minnesota Twins	—	73	65	12	2	0	0	3	23	1	2	1	185	232	215	447	31	279	32	4	198	20	-7	+0	-2	-1	+2	-0.9
2013	27	AAA	Rochester Red Wings	—	63	50	12	1	0	0	10	11	3	4	0	240	397	260	657	20	308	17	16	324	64	—	—	—	—	—	—
2014	28	MLB	Toronto Blue Jays	—	44	43	5	0	0	1	1	10	0	1	0	116	136	186	322	70	125	23	2	145	-16	-6	+0	+2	-5	+1	-0.8
2014	28	AAA	Buffalo Bisons	—	413	364	101	20	1	5	40	71	4	20	6	277	355	379	735	102	331	17	10	330	67	—	—	—	—	—	—
2015	29	AAA	Syracuse Chiefs	—	484	443	114	26	2	3	31	85	3	25	4	257	310	345	656	88	310	18	6	293	46	—	—	—	—	—	—
2016	30	AAA	Rochester Red Wings	—	203	180	46	6	1	0	18	39	2	8	3	256	330	300	630	44	322	19	9	289	50	—	—	—	—	—	—
2016	30	AA	Frisco RoughRiders	—	102	95	22	6	0	1	5	15	2	5	2	232	284	326	611	95	266	15	5	278	33	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	303	271	58	5	2	4	22	78	2	24	4	214	278	292	569	77	283	26	7	255	59	-15	+3	+5	-11	+7	-1.1
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2008	22	A MLE	Lansing Lugnuts	—	369	335	65	8	4	2	21	105	4	30	1	194	250	260	510	66	261	28	6	222	36	—	—	—	—	—	—
2009	23	AA MLE	New Hampshire Fisher Cats	—	292	258	67	9	2	1	28	55	1	38	8	260	334	322	656	62	315	19	10	288	81	—	—	—	—	—	—
2009	23	A+ MLE	Dunedin Blue Jays	—	274	241	69	10	2	0	27	54	4	32	7	286	368	344	712	58	363	20	10	317	101	—	—	—	—	—	—
2010	24	AA MLE	New Hampshire Fisher Cats	—	617	549	156	25	6	3	53	118	3	46	10	284	350	368	718	84	344	19	9	316	100	—	—	—	—	—	—
2011	25	AAA MLE	Las Vegas 51s	—	365	331	80	14	5	1	29	70	1	20	7	242	305	323	628	82	298	19	8	276	73	—	—	—	—	—	—
2011	25	AA MLE	New Hampshire Fisher Cats	—	198	178	42	7	3	1	13	29	2	14	3	236	295	326	621	90	264	15	7	274	72	—	—	—	—	—	—
2012	26	MLB MLE	Minnesota Twins	—	186	163	41	3	2	3	18	45	1	21	3	252	330	350	679	98	328	24	10	304	92	-2	+3	+4	-4	+4	0.5
2012	26	AAA MLE	Rochester Red Wings	—	85	80	24	2	2	0	3	16	1	10	1	300	333	375	708	75	367	19	4	306	93	—	—	—	—	—	—
2012	26	AA MLE	New Britain Rock Cats	—	40	37	5	1	0	0	2	14	0	4	1	135	179	162	342	27	189	35	5	146	-15	—	—	—	—	—	—
2013	27	MLB MLE	Minnesota Twins	—	73	65	12	2	0	0	3	23	1	2	1	185	232	215	447	31	279	32	4	198	20	-7	+0	-2	-1	+2	-0.9
2013	27	AAA MLE	Rochester Red Wings	—	63	53	11	1	0	0	7	13	3	4	0	208	333	226	560	19	272	21	11	263	64	—	—	—	—	—	—
2014	28	MLB MLE	Toronto Blue Jays	—	44	43	5	0	0	1	1	10	0	1	0	116	136	186	322	70	125	23	2	145	-16	-6	+0	+2	-5	+1	-0.8
2014	28	AAA MLE	Buffalo Bisons	—	413	378	89	16	1	4	26	90	4	20	6	235	292	315	606	79	291	22	6	267	67	—	—	—	—	—	—
2015	29	AAA MLE	Syracuse Chiefs	—	484	452	97	19	2	2	22	98	3	25	4	215	256	279	535	64	262	20	5	236	46	—	—	—	—	—	—
2016	30	AAA MLE	Rochester Red Wings	—	203	186	42	4	1	0	12	46	2	8	3	226	280	258	538	32	289	23	6	242	50	—	—	—	—	—	—
2016	30	AA MLE	Frisco RoughRiders	—	102	97	18	4	0	1	3	18	2	5	2	186	225	258	483	72	225	18	3	217	33	—	—	—	—	—	—
2008	22	A MLE	Lansing Lugnuts	—	369	335	65	8	4	2	21	105	4	30	1	194	250	260	510	66	275	28	6	222	36	—	—	—	—	—	—
2008	22	A RAW	Lansing Lugnuts	—	369	325	74	10	4	3	31	77	4	30	1	228	303	311	614	83	289	21	8	276	36	—	—	—	—	—	—
2009	23	AA MLE	2 teams	—	566	499	135	19	4	1	55	109	5	70	15	271	349	331	679	60	344	19	10	302	91	—	—	—	—	—	—
2009	23	AA RAW	2 teams	—	566	478	142	21	4	1	76	83	5	70	15	297	399	364	763	67	357	15	13	348	91	—	—	—	—	—	—
2010	24	AA MLE	2 teams	—	764	682	194	31	8	4	66	146	3	57	14	284	350	371	721	87	353	19	9	316	100	—	—	—	—	—	—
2010	24	AA RAW	2 teams	—	764	651	204	30	9	5	97	116	3	57	14	313	405	410	815	97	371	15	13	364	100	—	—	—	—	—	—
2011	25	AAA MLE	3 teams	—	689	619	149	26	9	3	51	121	5	40	12	241	304	326	630	86	293	18	7	275	72	—	—	—	—	—	—
2011	25	AAA RAW	3 teams	—	689	590	157	29	10	5	79	101	5	40	12	266	357	375	732	108	311	15	11	326	72	—	—	—	—	—	—
2012	26	MLB MLE	4 teams	—	419	375	94	8	6	4	32	101	2	43	8	251	313	336	649	85	331	24	8	284	78	-11	+5	+4	-4	+9	0.3
2012	26	MLB RAW	4 teams	—	419	362	95	10	4	4	45	85	2	43	8	262	347	345	692	83	331	20	11	311	78	-11	+5	+4	-4	+9	0.3
2013	27	MLB MLE	2 teams	—	136	118	23	3	0	0	10	36	4	6	1	195	280	220	501	25	277	26	7	228	40	-10	+1	-2	-1	+3	-0.9
2013	27	MLB RAW	2 teams	—	136	115	24	3	0	0	13	34	4	6	1	209	311	235	545	26	293	25	10	256	40	-10	+1	-2	-1	+3	-0.9
2014	28	AAA MLE	2 teams	—	457	421	94	16	1	5	27	100	4	21	6	223	277	302	578	78	280	22	6	255	59	—	—	—	—	—	—
2014	28	AAA RAW	2 teams	—	457	407	106	20	1	6	41	81	4	21	6	260	334	359	693	98	311	18	9	313	59	—	—	—	—	—	—
2015	29	AAA MLE	Syracuse Chiefs	—	484	452	97	19	2	2	22	98	3	25	4	215	256	279	535	64	268	20	5	236	46	—	—	—	—	—	—
2015	29	AAA RAW	Syracuse Chiefs	—	484	443	114	26	2	3	31	85	3	25	4	257	310	345	656	88	310	18	6	293	46	—	—	—	—	—	—
2016	30	AAA MLE	2 teams	—	305	282	60	8	1	1	16	64	4	13	5	213	265	259	524	46	269	21	5	234	44	—	—	—	—	—	—
2016	30	AAA RAW	2 teams	—	305	275	68	12	1	1	23	54	4	13	5	247	315	309	624	62	302	18	8	285	44	—	—	—	—	—	—
2008	22	A MLE	Lansing Lugnuts	—	369	341	65	8	4	2	21	105	4	30	1	191	250	255	505	65	261	28	6	222	36	—	—	—	—	—	—
2009	23	AA MLE	2 teams	—	566	501	135	19	4	1	55	109	5	70	15	269	349	329	678	60	338	19	10	302	91	—	—	—	—	—	—
2010	24	AA MLE	2 teams	—	764	689	194	31	8	4	66	146	3	57	14	282	350	367	717	86	344	19	9	316	100	—	—	—	—	—	—
2011	25	AAA MLE	3 teams	—	689	628	149	26	9	3	51	121	5	40	12	237	304	322	625	84	286	18	7	275	72	—	—	—	—	—	—
2012	26	MLB MLE	4 teams	—	419	382	94	8	6	4	32	101	2	43	8	246	313	330	643	84	321	24	8	284	78	—	—	—	—	—	—
2013	27	MLB MLE	2 teams	—	136	121	23	3	0	0	10	36	4	6	1	190	280	215	495	25	276	26	7	228	40	—	—	—	—	—	—
2014	28	AAA MLE	2 teams	—	457	423	94	16	1	5	27	100	4	21	6	222	277	300	577	78	275	22	6	255	59	—	—	—	—	—	—
2015	29	AAA MLE	Syracuse Chiefs	—	484	456	97	19	2	2	22	98	3	25	4	213	256	276	532	64	262	20	5	236	46	—	—	—	—	—	—
2016	30	AAA MLE	2 teams	—	305	282	60	8	1	1	16	64	4	13	5	213	265	259	524	46	268	21	5	234	44	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	303	271	58	5	2	4	22	78	2	24	4	214	278	292	569	77	283	26	7	255	70	-15	+3	+5	-11	+7	-1.1
/ 162G	—	A+C		—	650	581	125	11	4	9	47	167	4	51	9	215	278	294	572	79	284	26	7	255	70	-32	+7	+10	-23	+14	-2.5
Career	—	MLE		—	4189	3783	911	138	35	22	300	880	34	305	66	241	302	313	616	72	306	21	7	271	70	-15	+3	+5	-11	+7	-1.1
/ 162G	—	MLE		—	650	587	140	21	5	3	47	137	5	47	10	239	300	307	607	68	304	21	7	271	70	-32	+7	+10	-23	+14	-2.5

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 AAARochester Red Wings · 203 PAwOBA .285 → .242 (−43)K% 19.2% → 22.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.21%	÷1.007	×1.200	—	—	22.89%
BB% (unintentional) /PA	8.87%	÷0.968	×0.690	—	×0.962	6.08%
HBP% /PA	0.99%	—	×0.940	—	×0.962	0.89%
Singles /BIP	27.66%	÷0.953	×0.930	×0.995	×0.962	25.84%
Doubles /BIP	4.26%	÷1.224	×0.830	×0.995	×0.962	2.76%
Triples /BIP	0.71%	÷0.971	×0.970	×0.995	×0.962	0.68%
Home runs /BIP	0.00%	÷0.951	×0.840	—	×0.962	0.00%

Factors used: league row IL. Park (home-season share, regressed): HR 90, 1B 90, 2B 145, 3B 94, K 101, BB 94 — 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 ×0.995.

Result: wOBA .285 → .242; ISO .044 → .033; BABIP .322 → .289. 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 AAFrisco RoughRiders · 102 PAwOBA .270 → .217 (−54)K% 14.7% → 17.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.71%	÷1.034	×1.220	—	—	17.36%
BB% (unintentional) /PA	4.90%	÷0.978	×0.700	—	×0.940	3.30%
HBP% /PA	1.96%	—	×0.870	—	×0.940	1.60%
Singles /BIP	18.75%	÷0.982	×0.920	×1.009	×0.940	16.67%
Doubles /BIP	7.50%	÷1.062	×0.840	×1.009	×0.940	5.63%
Triples /BIP	0.00%	÷1.150	×0.940	×1.009	×0.940	0.00%
Home runs /BIP	1.25%	÷1.065	×0.800	—	×0.940	0.88%

Factors used: league row TL. Park (home-season share, regressed): HR 113, 1B 96, 2B 112, 3B 130, K 107, BB 96 — applied at half strength. Age: age 31 vs a level average of 24.8 → −6.0% on BB/HBP/hit rates (6.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.009.

Result: wOBA .270 → .217; ISO .095 → .069; BABIP .266 → .225. 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 AAASyracuse Chiefs · 484 PAwOBA .287 → .236 (−51)K% 17.6% → 20.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.56%	÷1.043	×1.200	—	—	20.21%
BB% (unintentional) /PA	6.40%	÷0.938	×0.690	—	×0.972	4.58%
HBP% /PA	0.62%	—	×0.940	—	×0.972	0.57%
Singles /BIP	23.18%	÷1.010	×0.930	×0.986	×0.972	20.46%
Doubles /BIP	7.26%	÷1.088	×0.830	×0.986	×0.972	5.31%
Triples /BIP	0.56%	÷0.947	×0.970	×0.986	×0.972	0.55%
Home runs /BIP	0.84%	÷1.183	×0.840	—	×0.972	0.58%

Factors used: league row IL. Park (home-season share, regressed): HR 137, 1B 102, 2B 118, 3B 89, K 109, BB 88 — 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 ×0.986.

Result: wOBA .287 → .236; ISO .088 → .066; BABIP .310 → .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).

2014 AAABuffalo Bisons · 413 PAwOBA .324 → .267 (−57)K% 17.2% → 21.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.19%	÷0.942	×1.200	—	—	21.91%
BB% (unintentional) /PA	9.69%	÷1.041	×0.690	—	×0.982	6.30%
HBP% /PA	0.97%	—	×0.940	—	×0.982	0.89%
Singles /BIP	25.60%	÷0.968	×0.930	×0.960	×0.982	23.19%
Doubles /BIP	6.83%	÷0.985	×0.830	×0.960	×0.982	5.42%
Triples /BIP	0.34%	÷1.150	×0.970	×0.960	×0.982	0.27%
Home runs /BIP	1.71%	÷1.006	×0.840	—	×0.982	1.40%

Factors used: league row IL. Park (home-season share, regressed): HR 101, 1B 94, 2B 97, 3B 130, K 88, BB 108 — 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 ×0.960.

Result: wOBA .324 → .267; ISO .102 → .082; BABIP .331 → .291. 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 AAARochester Red Wings · 63 PAwOBA .317 → .263 (−55)K% 17.5% → 21.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.46%	÷0.987	×1.200	—	—	21.23%
BB% (unintentional) /PA	15.87%	÷1.026	×0.690	—	×0.992	10.59%
HBP% /PA	4.76%	—	×0.940	—	×0.992	4.44%
Singles /BIP	28.21%	÷1.040	×0.930	—	×0.992	25.01%
Doubles /BIP	2.56%	÷0.977	×0.830	—	×0.992	2.16%
Triples /BIP	0.00%	÷0.900	×0.970	—	×0.992	0.00%
Home runs /BIP	0.00%	÷0.938	×0.840	—	×0.992	0.00%

Factors used: league row IL. Park (home-season share, regressed): HR 88, 1B 108, 2B 95, 3B 80, K 97, 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).

Result: wOBA .317 → .263; ISO .020 → .017; BABIP .308 → .272. 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 AAARochester Red Wings · 85 PAwOBA .353 → .306 (−47)K% 16.5% → 18.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.47%	÷1.051	×1.200	—	—	18.80%
BB% (unintentional) /PA	5.88%	÷1.023	×0.690	—	×1.003	3.98%
HBP% /PA	1.18%	—	×0.940	—	×1.003	1.11%
Singles /BIP	35.94%	÷1.052	×0.930	×0.964	×1.003	30.74%
Doubles /BIP	3.12%	÷0.913	×0.830	×0.964	×1.003	2.75%
Triples /BIP	3.12%	÷0.900	×0.970	×0.964	×1.003	3.26%
Home runs /BIP	0.00%	÷1.010	×0.840	—	×1.003	0.00%

Factors used: league row IL. Park (home-season share, regressed): HR 102, 1B 110, 2B 83, 3B 80, K 110, BB 105 — 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 ×0.964.

Result: wOBA .353 → .306; ISO .077 → .077; BABIP .422 → .367. 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 AANew Britain Rock Cats · 40 PAwOBA .175 → .146 (−29)K% 27.5% → 34.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	27.50%	÷0.983	×1.220	—	—	34.14%
BB% (unintentional) /PA	7.50%	÷1.036	×0.700	—	×0.978	4.96%
HBP% /PA	0.00%	—	×0.850	—	×0.978	0.00%
Singles /BIP	16.67%	÷1.015	×0.970	—	×0.978	15.58%
Doubles /BIP	4.17%	÷1.067	×0.860	—	×0.978	3.28%
Triples /BIP	0.00%	÷0.981	×0.950	—	×0.978	0.00%
Home runs /BIP	0.00%	÷0.811	×0.780	—	×0.978	0.00%

Factors used: league row EL. Park (home-season share, regressed): HR 62, 1B 103, 2B 113, 3B 96, K 97, BB 107 — 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 .175 → .146; ISO .029 → .023; BABIP .208 → .189. 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 AAALas Vegas 51s · 365 PAwOBA .325 → .276 (−49)K% 14.8% → 19.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.79%	÷0.992	×1.290	—	—	19.23%
BB% (unintentional) /PA	10.96%	÷0.998	×0.710	—	×1.018	7.94%
HBP% /PA	0.27%	—	×0.980	—	×1.018	0.27%
Singles /BIP	23.40%	÷0.974	×0.900	×1.027	×1.018	22.60%
Doubles /BIP	6.79%	÷1.082	×0.810	×1.027	×1.018	5.32%
Triples /BIP	2.26%	÷1.123	×0.810	×1.027	×1.018	1.71%
Home runs /BIP	0.75%	÷1.200	×0.780	—	×1.018	0.50%

Factors used: league row PCL. Park (home-season share, regressed): HR 140, 1B 95, 2B 116, 3B 125, K 98, BB 100 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.027.

Result: wOBA .325 → .276; ISO .113 → .085; BABIP .327 → .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 — .