Tyler Austin

Pos1B

B/TR/R

Born1991-09-06

Age (2027)35

No MLB projection yet. Career stats below are historical.

Overview

MLBIL-6040-MAN

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2017	25	AAA/AA/INTL3 orgs	235	.271/.346/.538	11	0	93	—	.244/.291/.452
2017	25	MLBNYY	46	.225/.295/.425	2	0	89	-0.4
2018	26	AAAWSH	148	.255/.311/.547	9	0	82	—	.199/.236/.440
2018	26	MLBMIN	268	.230/.291/.480	17	1	111	0.1
2019	27	AAASD	63	.333/.419/.611	4	3	113	—	.246/.306/.439
2019	27	MLBMIL	179	.188/.298/.409	9	2	95	-0.4
2020	28	No MLB games played
2021	29	No MLB games played
2022	30	No MLB games played
2023	31	No MLB games played
2024	32	No MLB games played
2025	33	No MLB games played
2026	34	No MLB games played

Last 3 seasons WAR -0.8

Contract

No contract data on file.

Skills · percentileStatcast 2017-2019

Barrel%90

xwOBA69

Avg EV62

Speed33

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	19	ROK	GCL Yankees	—	89	82	32	8	1	3	5	16	2	11	0	390	438	622	1.060	232	460	18	6	463	100	—	—	—	—	—	—
2012	20	A+	Tampa Yankees	—	148	134	43	13	1	2	12	28	2	6	0	321	385	478	863	157	394	19	8	383	101	—	—	—	—	—	—
2012	20	A	Charleston RiverDogs	—	309	266	85	22	5	14	37	68	3	17	2	320	408	598	1.006	278	380	22	12	431	121	—	—	—	—	—	—
2013	21	AA	Trenton Thunder	—	366	319	82	17	1	6	41	79	3	4	0	257	347	373	720	116	321	22	11	326	76	—	—	—	—	—	—
2013	21	INTL	Scottsdale Scorpions	—	16	12	4	0	1	0	2	1	1	0	0	333	467	500	967	167	333	6	12	404	159	—	—	—	—	—	—
2014	22	AA	Trenton Thunder	—	437	396	109	20	5	9	36	80	2	3	2	275	339	419	758	144	323	18	8	336	86	—	—	—	—	—	—
2014	22	INTL	Scottsdale Scorpions	—	79	69	21	2	1	2	10	12	0	4	2	304	392	449	842	145	345	15	13	377	141	—	—	—	—	—	—
2015	23	AAA	Scranton/Wilkes-Barre RailRiders	—	299	264	62	8	0	4	26	81	4	8	1	235	313	311	624	76	317	27	9	284	57	—	—	—	—	—	—
2015	23	AA	Trenton Thunder	—	86	77	20	5	2	2	8	16	1	3	2	260	337	455	792	195	305	19	9	350	76	—	—	—	—	—	—
2015	23	INTL	Aguilas del Zulia	—	117	106	29	9	0	3	11	27	0	7	3	274	342	443	785	170	342	23	9	349	122	—	—	—	—	—	—
2016	24	MLB	New York Yankees	—	90	83	20	3	0	5	7	36	0	1	0	241	300	458	758	217	357	40	8	333	107	+1	+0	-5	-10	+2	-1.1
2016	24	AAA	Scranton/Wilkes-Barre RailRiders	—	234	201	65	24	0	13	32	59	0	5	0	323	416	637	1.053	313	400	25	14	451	137	—	—	—	—	—	—
2016	24	AA	Trenton Thunder	—	210	177	46	10	1	4	30	46	1	1	1	260	370	395	766	136	326	22	14	345	84	—	—	—	—	—	—
2017	25	MLB	New York Yankees	—	46	40	9	2	0	2	4	17	0	0	0	225	295	425	720	200	304	37	9	305	89	-1	+0	+0	-5	+1	-0.4
2017	25	AAA	Scranton/Wilkes-Barre RailRiders	—	190	171	47	14	1	10	18	52	0	0	0	275	344	544	888	269	336	27	9	384	86	—	—	—	—	—	—
2017	25	AA	Trenton Thunder	—	17	14	6	1	2	0	2	2	1	0	0	429	529	786	1.315	357	500	12	12	551	201	—	—	—	—	—	—
2017	25	INTL	Leones del Escogido	—	28	25	4	2	0	1	3	12	0	0	0	160	250	360	610	200	250	43	11	273	71	—	—	—	—	—	—
2018	26	MLB	Minnesota Twins	—	268	244	56	10	0	17	19	95	2	1	2	230	291	480	770	250	289	35	7	333	111	+3	-1	+0	-7	+6	0.1
2018	26	AAA	Rochester Red Wings	—	148	137	35	11	1	9	9	42	2	0	0	255	311	547	858	292	302	28	6	371	82	—	—	—	—	—	—
2019	27	MLB	Milwaukee Brewers	—	179	154	29	5	1	9	24	67	0	2	0	188	298	409	707	221	253	37	13	314	95	-1	+0	-3	-4	+4	-0.4
2019	27	AAA	San Antonio Missions	—	63	54	18	3	0	4	8	17	0	3	1	333	419	611	1.030	278	412	27	13	440	113	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	583	521	114	20	1	33	54	215	2	4	2	219	295	451	746	232	290	37	9	325	106	+4	+0	-7	-26	+13	-1.7
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2011	19	ROK MLE	GCL Yankees	—	89	84	23	5	1	2	3	23	2	11	0	274	315	429	743	155	349	26	3	316	100	—	—	—	—	—	—
2012	20	A+ MLE	Tampa Yankees	—	148	139	39	12	1	2	7	40	2	6	0	281	324	424	749	144	374	27	5	318	101	—	—	—	—	—	—
2012	20	A MLE	Charleston RiverDogs	—	309	280	76	18	5	10	23	94	3	17	2	271	333	479	812	207	362	30	7	347	121	—	—	—	—	—	—
2013	21	AA MLE	Trenton Thunder	—	366	332	79	13	1	5	28	96	3	4	0	238	303	328	631	90	313	26	8	281	76	—	—	—	—	—	—
2014	22	AA MLE	Trenton Thunder	—	437	405	103	18	4	8	27	98	2	3	2	254	304	378	682	123	312	22	6	296	86	—	—	—	—	—	—
2015	23	AAA MLE	Scranton/Wilkes-Barre RailRiders	—	299	274	61	8	0	4	16	98	4	8	1	223	276	296	571	73	313	33	5	253	57	—	—	—	—	—	—
2015	23	AA MLE	Trenton Thunder	—	86	80	18	4	2	1	5	21	1	3	2	225	279	362	642	137	284	24	6	280	76	—	—	—	—	—	—
2016	24	MLB MLE	New York Yankees	—	90	83	20	3	0	5	7	36	0	1	0	241	300	458	758	217	357	40	8	327	107	+1	+0	-5	-10	+2	-1.1
2016	24	AAA MLE	Scranton/Wilkes-Barre RailRiders	—	234	210	57	19	0	11	23	71	0	5	0	271	343	519	862	248	359	30	10	371	137	—	—	—	—	—	—
2016	24	AA MLE	Trenton Thunder	—	210	187	44	9	1	3	20	56	1	1	1	235	312	342	655	107	313	27	10	292	84	—	—	—	—	—	—
2017	25	MLB MLE	New York Yankees	—	46	40	9	2	0	2	4	17	0	0	0	225	295	425	720	200	304	37	9	300	89	-1	+0	+0	-5	+1	-0.4
2017	25	AAA MLE	Scranton/Wilkes-Barre RailRiders	—	190	178	41	12	1	7	11	63	0	0	0	230	275	427	702	197	304	33	6	296	86	—	—	—	—	—	—
2017	25	AA MLE	Trenton Thunder	—	17	15	6	1	2	0	1	2	1	0	0	400	471	733	1.204	333	447	12	6	466	201	—	—	—	—	—	—
2018	26	MLB MLE	Minnesota Twins	—	268	244	56	10	0	17	19	95	2	1	2	230	291	480	770	250	289	35	7	332	111	+3	-1	+0	-7	+6	0.1
2018	26	AAA MLE	Rochester Red Wings	—	148	141	28	8	1	8	5	52	2	0	0	199	236	440	676	241	249	35	3	290	82	—	—	—	—	—	—
2019	27	MLB MLE	Milwaukee Brewers	—	179	155	29	5	1	9	23	67	0	2	0	187	292	406	699	219	253	37	13	308	95	-1	+0	-3	-4	+4	-0.4
2019	27	AAA MLE	San Antonio Missions	—	63	57	14	2	0	3	5	22	0	3	1	246	306	439	745	193	349	35	8	335	113	—	—	—	—	—	—
2011	19	ROK MLE	GCL Yankees	—	89	84	23	5	1	2	3	23	2	11	0	274	315	429	743	155	356	26	3	316	100	—	—	—	—	—	—
2011	19	ROK RAW	GCL Yankees	—	89	82	32	8	1	3	5	16	2	11	0	390	438	622	1.060	232	460	18	6	463	100	—	—	—	—	—	—
2012	20	A MLE	2 teams	—	457	419	115	30	6	12	30	134	5	23	2	274	330	461	791	186	373	29	7	338	115	—	—	—	—	—	—
2012	20	A RAW	2 teams	—	457	400	128	35	6	16	49	96	5	23	2	320	401	557	958	237	385	21	11	416	115	—	—	—	—	—	—
2013	21	AA MLE	2 teams	—	382	345	83	14	1	5	29	100	4	4	0	241	307	330	637	90	320	26	8	281	76	—	—	—	—	—	—
2013	21	AA RAW	2 teams	—	382	331	86	17	2	6	43	80	4	4	0	260	352	378	729	118	321	21	11	329	76	—	—	—	—	—	—
2014	22	AA MLE	2 teams	—	516	480	122	21	5	9	31	116	2	7	4	254	302	375	677	121	316	22	6	296	86	—	—	—	—	—	—
2014	22	AA RAW	2 teams	—	516	465	130	22	6	11	46	92	2	7	4	280	347	424	771	144	326	18	9	343	86	—	—	—	—	—	—
2015	23	AAA MLE	3 teams	—	502	464	102	16	2	7	28	155	5	18	6	220	272	308	580	88	310	31	6	259	61	—	—	—	—	—	—
2015	23	AAA RAW	3 teams	—	502	447	111	22	2	9	45	124	5	18	6	248	324	367	691	119	321	25	9	310	61	—	—	—	—	—	—
2016	24	AAA MLE	3 teams	—	534	480	122	32	1	19	50	163	1	7	1	254	326	444	770	190	342	31	9	332	111	—	—	—	—	—	—
2016	24	AAA RAW	3 teams	—	534	461	131	37	1	22	69	141	1	7	1	284	379	512	890	228	362	26	13	390	111	—	—	—	—	—	—
2017	25	AAA MLE	4 teams	—	281	259	62	17	3	10	18	91	1	0	0	239	291	444	735	205	323	32	6	308	95	—	—	—	—	—	—
2017	25	AAA RAW	4 teams	—	281	250	66	19	3	13	27	83	1	0	0	264	338	520	858	256	338	30	10	370	95	—	—	—	—	—	—
2018	26	MLB MLE	2 teams	—	416	385	84	18	1	25	24	147	4	1	2	218	271	465	736	247	273	35	6	317	101	+0	-1	+0	-7	+9	0.1
2018	26	MLB RAW	2 teams	—	416	381	91	21	1	26	28	137	4	1	2	239	298	504	802	265	294	33	7	346	101	+0	-1	+0	-7	+9	0.1
2019	27	MLB MLE	2 teams	—	242	212	44	8	1	12	28	89	0	5	1	208	300	425	725	217	283	37	12	315	99	-0	+1	-3	-4	+5	-0.2
2019	27	MLB RAW	2 teams	—	242	208	47	8	1	13	32	84	0	5	1	226	329	462	791	236	301	35	13	347	99	-0	+1	-3	-4	+5	-0.2
2011	19	ROK MLE	GCL Yankees	—	89	84	23	5	1	2	3	23	2	11	0	274	315	429	743	155	349	26	3	316	100	—	—	—	—	—	—
2012	20	A MLE	2 teams	—	457	419	115	30	6	12	30	134	5	23	2	274	330	461	791	186	366	29	7	338	115	—	—	—	—	—	—
2013	21	AA MLE	2 teams	—	382	346	83	14	1	5	29	100	4	4	0	240	307	329	636	90	313	26	8	281	76	—	—	—	—	—	—
2014	22	AA MLE	2 teams	—	516	478	122	21	5	9	31	116	2	7	4	255	302	377	679	121	312	22	6	296	86	—	—	—	—	—	—
2015	23	AAA MLE	3 teams	—	502	464	102	16	2	7	28	155	5	18	6	220	272	308	580	88	307	31	6	259	61	—	—	—	—	—	—
2016	24	AAA MLE	3 teams	—	534	478	122	32	1	19	50	163	1	7	1	255	326	446	771	190	341	31	9	332	111	—	—	—	—	—	—
2017	25	AAA MLE	4 teams	—	281	260	62	17	3	10	18	91	1	0	0	238	291	442	734	204	314	32	6	308	95	—	—	—	—	—	—
2018	26	MLB MLE	2 teams	—	416	385	84	18	1	25	24	147	4	1	2	218	271	465	736	247	275	35	6	317	101	—	—	—	—	—	—
2019	27	MLB MLE	2 teams	—	242	212	44	8	1	12	28	89	0	5	1	208	300	425	725	217	278	37	12	315	99	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	583	521	114	20	1	33	54	215	2	4	2	219	295	451	746	232	290	37	9	325	93	+4	+0	-7	-26	+13	-1.7
/ 162G	—	A+C		—	650	581	127	22	1	37	60	240	2	4	2	219	294	451	745	232	289	37	9	325	93	+5	+0	-8	-29	+14	-1.9
Career	—	MLE		—	3419	3128	757	161	21	101	241	1018	24	76	16	242	301	404	705	162	323	30	7	306	93	+4	+0	-7	-26	+13	-1.7
/ 162G	—	MLE		—	650	595	144	31	4	19	46	194	5	14	3	242	302	403	706	161	323	30	7	306	93	+5	+0	-8	-29	+14	-1.9

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.

2019 AAASan Antonio Missions · 63 PAwOBA .435 → .335 (−100)K% 27.0% → 35.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	26.98%	÷0.979	×1.290	—	—	35.54%
BB% (unintentional) /PA	12.70%	÷1.055	×0.710	—	×0.992	8.48%
HBP% /PA	0.00%	—	×0.980	—	×0.992	0.00%
Singles /BIP	29.73%	÷0.995	×0.900	—	×0.992	26.68%
Doubles /BIP	8.11%	÷1.045	×0.810	—	×0.992	6.23%
Triples /BIP	0.00%	÷0.930	×0.810	—	×0.992	0.00%
Home runs /BIP	10.81%	÷0.977	×0.780	—	×0.992	8.56%

Factors used: league row PCL. Park (home-season share, regressed): HR 95, 1B 99, 2B 109, 3B 86, K 96, BB 111 — 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 .435 → .335; ISO .278 → .208; BABIP .412 → .349. 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).

2018 AAARochester Red Wings · 148 PAwOBA .358 → .290 (−68)K% 28.4% → 34.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	28.38%	÷0.978	×1.200	—	—	34.83%
BB% (unintentional) /PA	5.41%	÷1.008	×0.690	—	×1.003	3.71%
HBP% /PA	1.35%	—	×0.940	—	×1.003	1.27%
Singles /BIP	14.74%	÷1.023	×0.930	×0.950	×1.003	12.76%
Doubles /BIP	11.58%	÷1.009	×0.830	×0.950	×1.003	9.07%
Triples /BIP	1.05%	÷1.150	×0.970	×0.950	×1.003	0.85%
Home runs /BIP	9.47%	÷0.879	×0.840	—	×1.003	9.08%

Factors used: league row IL. Park (home-season share, regressed): HR 76, 1B 105, 2B 102, 3B 130, K 96, BB 102 — 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 ×0.950.

Result: wOBA .358 → .290; ISO .292 → .247; BABIP .302 → .249. 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 AAAScranton/Wilkes-Barre RailRiders · 190 PAwOBA .373 → .296 (−77)K% 27.4% → 33.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	27.37%	÷0.995	×1.200	—	—	33.01%
BB% (unintentional) /PA	8.95%	÷1.105	×0.690	—	×1.018	5.69%
HBP% /PA	0.00%	—	×0.940	—	×1.018	0.00%
Singles /BIP	18.49%	÷0.980	×0.930	×0.996	×1.018	17.79%
Doubles /BIP	11.76%	÷0.951	×0.830	×0.996	×1.018	10.41%
Triples /BIP	0.84%	÷1.150	×0.970	×0.996	×1.018	0.72%
Home runs /BIP	8.40%	÷1.247	×0.840	—	×1.018	5.76%

Factors used: league row IL. Park (home-season share, regressed): HR 149, 1B 96, 2B 90, 3B 130, K 99, BB 121 — 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 ×0.996.

Result: wOBA .373 → .296; ISO .269 → .199; BABIP .336 → .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).

2017 AATrenton Thunder · 17 PAwOBA .537 → .466 (−71)K% 11.8% → 14.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	11.76%	÷1.007	×1.220	—	—	14.26%
BB% (unintentional) /PA	11.76%	÷0.979	×0.700	—	×0.988	8.32%
HBP% /PA	5.88%	—	×0.850	—	×0.988	4.94%
Singles /BIP	25.00%	÷1.020	×0.970	—	×0.988	23.49%
Doubles /BIP	8.33%	÷0.936	×0.860	—	×0.988	7.56%
Triples /BIP	16.67%	÷1.150	×0.950	—	×0.988	13.60%
Home runs /BIP	0.00%	÷0.960	×0.780	—	×0.988	0.00%

Factors used: league row EL. Park (home-season share, regressed): HR 92, 1B 104, 2B 87, 3B 130, K 101, BB 96 — applied at half strength. Age: age 26 vs a level average of 24.8 → −1.2% on BB/HBP/hit rates (1.2 yr older than average).

Result: wOBA .537 → .466; ISO .357 → .306; BABIP .500 → .447. 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 AAAScranton/Wilkes-Barre RailRiders · 234 PAwOBA .441 → .371 (−70)K% 25.2% → 30.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.21%	÷0.994	×1.200	—	—	30.43%
BB% (unintentional) /PA	13.68%	÷0.977	×0.690	—	×1.033	9.98%
HBP% /PA	0.00%	—	×0.940	—	×1.033	0.00%
Singles /BIP	19.72%	÷0.991	×0.930	×1.016	×1.033	19.43%
Doubles /BIP	16.90%	÷1.059	×0.830	×1.016	×1.033	13.90%
Triples /BIP	0.00%	÷0.900	×0.970	×1.016	×1.033	0.00%
Home runs /BIP	9.15%	÷0.996	×0.840	—	×1.033	7.97%

Factors used: league row IL. Park (home-season share, regressed): HR 99, 1B 98, 2B 112, 3B 80, K 99, BB 95 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.016.

Result: wOBA .441 → .371; ISO .313 → .262; BABIP .400 → .359. 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 AATrenton Thunder · 210 PAwOBA .340 → .292 (−48)K% 21.9% → 26.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.90%	÷0.997	×1.220	—	—	26.81%
BB% (unintentional) /PA	14.29%	÷1.061	×0.700	—	×0.998	9.41%
HBP% /PA	0.48%	—	×0.850	—	×0.998	0.40%
Singles /BIP	23.66%	÷0.981	×0.970	×1.004	×0.998	23.45%
Doubles /BIP	7.63%	÷0.962	×0.860	×1.004	×0.998	6.84%
Triples /BIP	0.76%	÷1.039	×0.950	×1.004	×0.998	0.70%
Home runs /BIP	3.05%	÷1.015	×0.780	—	×0.998	2.34%

Factors used: league row EL. Park (home-season share, regressed): HR 103, 1B 96, 2B 92, 3B 108, K 99, BB 112 — applied at half strength. Age: age 25 vs a level average of 24.8 → −0.2% on BB/HBP/hit rates (0.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.004.

Result: wOBA .340 → .292; ISO .136 → .115; BABIP .326 → .313. 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 AAAScranton/Wilkes-Barre RailRiders · 299 PAwOBA .281 → .253 (−28)K% 27.1% → 32.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	27.09%	÷0.991	×1.200	—	—	32.82%
BB% (unintentional) /PA	8.70%	÷1.139	×0.690	—	×1.048	5.52%
HBP% /PA	1.34%	—	×0.940	—	×1.048	1.32%
Singles /BIP	27.32%	÷1.011	×0.930	×1.024	×1.048	26.96%
Doubles /BIP	4.37%	÷0.903	×0.830	×1.024	×1.048	4.31%
Triples /BIP	0.00%	÷1.150	×0.970	×1.024	×1.048	0.00%
Home runs /BIP	2.19%	÷0.878	×0.840	—	×1.048	2.19%

Factors used: league row IL. Park (home-season share, regressed): HR 76, 1B 102, 2B 81, 3B 130, K 98, BB 128 — 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 ×1.024.

Result: wOBA .281 → .253; ISO .076 → .074; BABIP .317 → .313. 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 AATrenton Thunder · 86 PAwOBA .341 → .280 (−61)K% 18.6% → 23.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.60%	÷0.950	×1.220	—	—	23.89%
BB% (unintentional) /PA	9.30%	÷1.067	×0.700	—	×1.012	6.17%
HBP% /PA	1.16%	—	×0.850	—	×1.012	1.00%
Singles /BIP	18.03%	÷0.977	×0.970	×0.986	×1.012	17.85%
Doubles /BIP	8.20%	÷0.978	×0.860	×0.986	×1.012	7.19%
Triples /BIP	3.28%	÷1.150	×0.950	×0.986	×1.012	2.70%
Home runs /BIP	3.28%	÷1.153	×0.780	—	×1.012	2.25%

Factors used: league row EL. Park (home-season share, regressed): HR 131, 1B 95, 2B 96, 3B 130, K 90, BB 114 — applied at half strength. Age: age 24 vs a level average of 24.8 → +1.2% on BB/HBP/hit rates (0.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.986.

Result: wOBA .341 → .280; ISO .195 → .149; BABIP .305 → .284. 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 — .