Tyler White

Pos1B

B/TR/R

Born1990-10-29

Age (2027)36

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	30	AAATOR	443	.292/.429/.476	13	2	92	—	.228/.329/.357
2022	31	AAAATL	437	.230/.362/.412	16	5	61	—	.178/.274/.304
2023	32	AAANYM	120	.257/.375/.356	2	0	57	—	.194/.275/.250

Contract

No contract data on file.

Skills · percentileStatcast 2017-2019

xwOBA43

Barrel%41

Avg EV30

Speed10

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)
2013	22	ROK	Greeneville Astros	—	151	127	45	12	0	3	14	15	8	2	2	354	450	520	969	165	378	10	9	427	97	—	—	—	—	—	—
2014	23	A+	Lancaster JetHawks	—	186	150	40	13	1	8	28	27	7	0	0	267	405	527	932	260	276	15	15	408	99	—	—	—	—	—	—
2014	23	A	Quad Cities River Bandits	—	290	239	73	20	1	7	35	40	12	0	1	305	420	485	905	180	337	14	12	399	99	—	—	—	—	—	—
2015	24	AAA	Fresno Grizzlies	—	259	213	77	19	1	7	42	38	2	0	1	362	471	559	1.030	197	412	15	16	450	141	—	—	—	—	—	—
2015	24	AA	Corpus Christi Hooks	—	236	190	54	6	0	7	42	35	2	1	0	284	419	426	845	142	313	15	18	382	94	—	—	—	—	—	—
2015	24	INTL	Estrellas de Oriente	—	195	158	47	10	0	7	32	37	3	0	1	297	425	494	919	196	345	19	16	406	161	—	—	—	—	—	—
2016	25	MLB	Houston Astros	—	276	249	54	16	0	8	23	65	2	1	0	217	288	378	666	161	258	24	8	297	83	-6	+0	-0	-8	+6	-0.8
2016	25	AAA	Fresno Grizzlies	—	190	174	42	4	1	13	16	30	0	1	1	241	305	500	805	259	221	16	8	351	63	—	—	—	—	—	—
2017	26	MLB	Houston Astros	—	67	61	17	6	0	3	4	16	1	0	1	279	333	525	858	246	326	24	6	369	133	+3	-0	-1	-10	+1	-0.8
2017	26	AAA	Fresno Grizzlies	—	497	436	131	22	1	25	47	101	6	7	3	300	376	528	904	227	334	20	9	391	100	—	—	—	—	—	—
2018	27	MLB	Houston Astros	—	237	210	58	12	3	12	24	49	2	0	1	276	356	533	889	257	307	21	10	386	146	+13	-0	-1	-10	+5	0.7
2018	27	AAA	Fresno Grizzlies	—	313	255	85	18	0	14	46	39	8	1	1	333	450	569	1.018	235	345	12	15	441	130	—	—	—	—	—	—
2019	28	MLB	Los Angeles Dodgers	—	279	240	50	14	0	3	36	78	0	0	0	208	312	304	616	96	290	28	13	284	83	-5	+0	-2	-5	+6	-0.6
2021	30	AAA	Buffalo Bisons	—	443	353	103	26	0	13	80	73	5	2	2	292	429	476	905	184	331	16	18	401	92	—	—	—	—	—	—
2022	31	AAA	Gwinnett Stripers	—	437	357	82	13	2	16	70	88	4	5	1	230	362	412	774	182	255	20	16	346	61	—	—	—	—	—	—
2023	32	AAA	Syracuse Mets	—	120	101	26	4	0	2	18	23	1	0	0	257	375	356	731	99	316	19	15	339	57	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	859	760	179	48	3	26	87	208	5	1	2	236	318	409	727	174	287	24	10	323	105	+5	-1	-5	-33	+19	-1.6
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2013	22	ROK MLE	Greeneville Astros	—	151	133	34	8	0	2	8	21	8	2	2	256	336	361	696	105	280	14	5	311	97	—	—	—	—	—	—
2014	23	A+ MLE	Lancaster JetHawks	—	186	159	34	11	1	6	19	38	7	0	0	214	324	409	733	195	235	20	10	315	99	—	—	—	—	—	—
2014	23	A MLE	Quad Cities River Bandits	—	290	251	62	16	1	5	23	54	12	0	1	247	339	378	718	131	283	19	8	315	99	—	—	—	—	—	—
2015	24	AAA MLE	Fresno Grizzlies	—	259	224	69	15	1	5	31	48	2	0	1	308	397	451	848	143	368	19	12	376	141	—	—	—	—	—	—
2015	24	AA MLE	Corpus Christi Hooks	—	236	203	48	5	0	5	29	44	2	1	0	236	338	335	673	99	271	19	12	307	94	—	—	—	—	—	—
2016	25	MLB MLE	Houston Astros	—	276	250	53	15	0	8	22	65	2	1	0	212	281	368	649	156	258	24	8	291	83	-6	+0	-0	-8	+6	-0.8
2016	25	AAA MLE	Fresno Grizzlies	—	190	179	34	3	1	10	11	39	0	1	1	190	237	385	622	196	184	21	6	262	63	—	—	—	—	—	—
2017	26	MLB MLE	Houston Astros	—	67	61	17	6	0	3	4	16	1	0	1	279	333	525	858	246	326	24	6	365	133	+3	-0	-1	-10	+1	-0.8
2017	26	AAA MLE	Fresno Grizzlies	—	497	450	112	18	1	20	33	131	6	7	3	249	309	427	735	178	293	26	7	316	100	—	—	—	—	—	—
2018	27	MLB MLE	Houston Astros	—	237	210	57	11	3	12	24	49	2	0	1	271	352	524	876	252	307	21	10	385	146	+13	-0	-1	-10	+5	0.7
2018	27	AAA MLE	Fresno Grizzlies	—	313	270	75	15	0	12	31	51	8	1	1	278	369	467	836	189	292	16	10	361	130	—	—	—	—	—	—
2019	28	MLB MLE	Los Angeles Dodgers	—	279	240	51	15	0	3	36	78	0	0	0	212	315	312	628	100	290	28	13	292	83	-5	+0	-2	-5	+6	-0.6
2021	30	AAA MLE	Buffalo Bisons	—	443	381	87	22	0	9	52	91	5	2	2	228	329	357	686	129	267	21	12	304	92	—	—	—	—	—	—
2022	31	AAA MLE	Gwinnett Stripers	—	437	381	68	11	2	11	46	105	4	5	1	178	274	304	578	126	204	24	11	259	61	—	—	—	—	—	—
2023	32	AAA MLE	Syracuse Mets	—	120	108	21	3	0	1	11	29	1	0	0	194	275	250	525	56	259	24	9	253	57	—	—	—	—	—	—
2013	22	ROK MLE	Greeneville Astros	—	151	133	34	8	0	2	8	21	8	2	2	256	336	361	696	105	286	14	5	311	97	—	—	—	—	—	—
2013	22	ROK RAW	Greeneville Astros	—	151	127	45	12	0	3	14	15	8	2	2	354	450	520	969	165	378	10	9	427	97	—	—	—	—	—	—
2014	23	A MLE	2 teams	—	476	409	96	27	2	11	43	92	19	0	1	235	335	391	727	156	273	19	9	315	99	—	—	—	—	—	—
2014	23	A RAW	2 teams	—	476	389	113	33	2	15	63	67	19	0	1	290	414	501	915	211	314	14	13	403	99	—	—	—	—	—	—
2015	24	AAA MLE	3 teams	—	690	595	165	29	1	15	82	129	7	1	2	277	371	405	776	128	328	19	12	343	118	—	—	—	—	—	—
2015	24	AAA RAW	3 teams	—	690	561	178	35	1	21	116	110	7	1	2	317	440	496	936	178	360	16	17	414	118	—	—	—	—	—	—
2016	25	MLB MLE	2 teams	—	466	429	87	18	1	18	33	104	2	2	1	203	263	375	638	172	223	22	7	279	75	-14	+0	-0	-8	+10	-1.2
2016	25	MLB RAW	2 teams	—	466	423	96	20	1	21	39	95	2	2	1	227	295	428	723	201	243	20	8	319	75	-14	+0	-0	-8	+10	-1.2
2017	26	AAA MLE	2 teams	—	564	511	129	24	1	23	37	147	7	7	4	252	312	438	750	186	304	26	7	322	104	—	—	—	—	—	—
2017	26	AAA RAW	2 teams	—	564	497	148	28	1	28	51	117	7	7	4	298	371	527	898	229	333	21	9	388	104	—	—	—	—	—	—
2018	27	AAA MLE	2 teams	—	550	480	132	26	3	24	55	100	10	1	2	275	361	492	853	217	299	18	10	371	137	—	—	—	—	—	—
2018	27	AAA RAW	2 teams	—	550	465	143	30	3	26	70	88	10	1	2	308	409	553	962	245	329	16	13	418	137	—	—	—	—	—	—
2019	28	MLB MLE	Los Angeles Dodgers	—	279	240	51	15	0	3	36	78	0	0	0	212	315	312	628	100	296	28	13	292	83	-5	+0	-2	-5	+6	-0.6
2019	28	MLB RAW	Los Angeles Dodgers	—	279	240	50	14	0	3	36	78	0	0	0	208	312	304	616	96	290	28	13	284	83	-5	+0	-2	-5	+6	-0.6
2021	30	AAA MLE	Buffalo Bisons	—	443	381	87	22	0	9	52	91	5	2	2	228	329	357	686	129	273	21	12	304	92	—	—	—	—	—	—
2021	30	AAA RAW	Buffalo Bisons	—	443	353	103	26	0	13	80	73	5	2	2	292	429	476	905	184	331	16	18	401	92	—	—	—	—	—	—
2022	31	AAA MLE	Gwinnett Stripers	—	437	381	68	11	2	11	46	105	4	5	1	178	274	304	578	126	210	24	11	259	61	—	—	—	—	—	—
2022	31	AAA RAW	Gwinnett Stripers	—	437	357	82	13	2	16	70	88	4	5	1	230	362	412	774	182	255	20	16	346	61	—	—	—	—	—	—
2023	32	AAA MLE	Syracuse Mets	—	120	108	21	3	0	1	11	29	1	0	0	194	275	250	525	56	256	24	9	253	57	—	—	—	—	—	—
2023	32	AAA RAW	Syracuse Mets	—	120	101	26	4	0	2	18	23	1	0	0	257	375	356	731	99	316	19	15	339	57	—	—	—	—	—	—
2013	22	ROK MLE	Greeneville Astros	—	151	134	34	8	0	2	8	21	8	2	2	254	336	358	694	104	280	14	5	311	97	—	—	—	—	—	—
2014	23	A MLE	2 teams	—	476	411	96	27	2	11	43	92	19	0	1	234	335	389	725	156	264	19	9	315	99	—	—	—	—	—	—
2015	24	AAA MLE	3 teams	—	690	596	165	29	1	15	82	129	7	1	2	277	371	404	776	128	322	19	12	343	118	—	—	—	—	—	—
2016	25	MLB MLE	2 teams	—	466	428	87	18	1	18	33	104	2	2	1	203	263	376	639	173	228	22	7	279	75	—	—	—	—	—	—
2017	26	AAA MLE	2 teams	—	564	515	129	24	1	23	37	147	7	7	4	250	312	435	747	184	297	26	7	322	104	—	—	—	—	—	—
2018	27	AAA MLE	2 teams	—	550	480	132	26	3	24	55	100	10	1	2	275	361	492	853	217	298	18	10	371	137	—	—	—	—	—	—
2019	28	MLB MLE	Los Angeles Dodgers	—	279	241	51	15	0	3	36	78	0	0	0	212	315	311	626	100	290	28	13	292	83	—	—	—	—	—	—
2021	30	AAA MLE	Buffalo Bisons	—	443	383	87	22	0	9	52	91	5	2	2	227	329	355	684	128	267	21	12	304	92	—	—	—	—	—	—
2022	31	AAA MLE	Gwinnett Stripers	—	437	384	68	11	2	11	46	105	4	5	1	177	274	302	576	125	204	24	11	259	61	—	—	—	—	—	—
2023	32	AAA MLE	Syracuse Mets	—	120	107	21	3	0	1	11	29	1	0	0	196	275	252	527	56	259	24	9	253	57	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	859	760	179	48	3	26	87	208	5	1	2	236	318	409	727	174	287	24	10	323	98	+5	-1	-5	-33	+19	-1.6
/ 162G	—	A+C		—	650	575	135	36	2	20	66	157	4	1	2	235	318	409	727	174	285	24	10	323	98	+4	-0	-4	-25	+14	-1.2
Career	—	MLE		—	4176	3667	870	183	10	117	403	896	63	20	15	237	323	388	712	151	279	21	10	313	98	+5	-1	-5	-33	+19	-1.6
/ 162G	—	MLE		—	650	571	135	28	2	18	63	139	10	3	2	236	323	387	711	151	278	21	10	313	98	+4	-0	-4	-25	+14	-1.2

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 AAASyracuse Mets · 120 PAwOBA .328 → .253 (−75)K% 19.2% → 23.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.17%	÷0.961	×1.200	—	—	23.94%
BB% (unintentional) /PA	14.17%	÷0.967	×0.690	—	×0.942	9.52%
HBP% /PA	0.83%	—	×0.940	—	×0.942	0.74%
Singles /BIP	25.64%	÷0.997	×0.930	×0.950	×0.942	21.40%
Doubles /BIP	5.13%	÷0.933	×0.830	×0.950	×0.942	4.08%
Triples /BIP	0.00%	÷1.150	×0.970	×0.950	×0.942	0.00%
Home runs /BIP	2.56%	÷1.003	×0.700	—	×0.942	1.69%

Factors used: league row International League. Park (home-season share, regressed): HR 101, 1B 99, 2B 87, 3B 130, K 92, BB 93 — 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 ×0.950.

Result: wOBA .328 → .253; ISO .099 → .071; BABIP .316 → .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).

2022 AAAGwinnett Stripers · 437 PAwOBA .342 → .259 (−83)K% 20.1% → 24.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.14%	÷1.002	×1.200	—	—	24.12%
BB% (unintentional) /PA	16.02%	÷0.998	×0.690	—	×0.952	10.54%
HBP% /PA	0.92%	—	×0.940	—	×0.952	0.82%
Singles /BIP	18.96%	÷1.018	×0.930	×0.950	×0.952	15.67%
Doubles /BIP	4.83%	÷0.966	×0.830	×0.950	×0.952	3.75%
Triples /BIP	0.74%	÷1.150	×0.970	×0.950	×0.952	0.57%
Home runs /BIP	5.95%	÷0.981	×0.700	—	×0.952	4.04%

Factors used: league row International League. Park (home-season share, regressed): HR 96, 1B 104, 2B 93, 3B 130, K 100, BB 100 — 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 ×0.950.

Result: wOBA .342 → .259; ISO .182 → .134; BABIP .255 → .204. 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 AAABuffalo Bisons · 443 PAwOBA .396 → .304 (−92)K% 16.5% → 20.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.48%	÷0.965	×1.200	—	—	20.48%
BB% (unintentional) /PA	18.06%	÷1.024	×0.690	—	×0.962	11.70%
HBP% /PA	1.13%	—	×0.940	—	×0.962	1.02%
Singles /BIP	22.86%	÷1.071	×0.930	×0.985	×0.962	18.80%
Doubles /BIP	9.29%	÷0.962	×0.830	×0.985	×0.962	7.59%
Triples /BIP	0.00%	÷1.150	×0.920	×0.985	×0.962	0.00%
Home runs /BIP	4.64%	÷1.081	×0.700	—	×0.962	2.89%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 116, 1B 114, 2B 92, 3B 130, K 93, BB 105 — 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 ×0.985.

Result: wOBA .396 → .304; ISO .184 → .136; BABIP .331 → .267. 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 AAAFresno Grizzlies · 313 PAwOBA .435 → .361 (−74)K% 12.5% → 16.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.46%	÷0.982	×1.290	—	—	16.36%
BB% (unintentional) /PA	14.38%	÷1.025	×0.710	—	×0.992	9.88%
HBP% /PA	2.56%	—	×0.980	—	×0.992	2.48%
Singles /BIP	24.54%	÷0.962	×0.900	×0.950	×0.992	21.64%
Doubles /BIP	8.33%	÷0.974	×0.810	×0.950	×0.992	6.53%
Triples /BIP	0.00%	÷1.150	×0.810	×0.950	×0.992	0.00%
Home runs /BIP	6.48%	÷0.951	×0.780	—	×0.992	5.27%

Factors used: league row PCL. Park (home-season share, regressed): HR 90, 1B 92, 2B 95, 3B 130, K 96, 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .435 → .361; ISO .235 → .196; BABIP .345 → .292. 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 AAAFresno Grizzlies · 497 PAwOBA .385 → .316 (−70)K% 20.3% → 26.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.32%	÷0.992	×1.290	—	—	26.42%
BB% (unintentional) /PA	9.46%	÷1.028	×0.710	—	×1.003	6.55%
HBP% /PA	1.21%	—	×0.980	—	×1.003	1.19%
Singles /BIP	24.78%	÷0.978	×0.900	×0.976	×1.003	22.33%
Doubles /BIP	6.57%	÷0.926	×0.810	×0.976	×1.003	5.62%
Triples /BIP	0.30%	÷1.150	×0.810	×0.976	×1.003	0.21%
Home runs /BIP	7.46%	÷0.963	×0.780	—	×1.003	6.06%

Factors used: league row PCL. Park (home-season share, regressed): HR 93, 1B 96, 2B 85, 3B 130, K 98, BB 106 — 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 ×0.976.

Result: wOBA .385 → .316; ISO .227 → .182; BABIP .334 → .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).

2016 AAAFresno Grizzlies · 190 PAwOBA .341 → .262 (−79)K% 15.8% → 20.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.79%	÷0.996	×1.290	—	—	20.44%
BB% (unintentional) /PA	8.42%	÷1.008	×0.710	—	×1.018	6.04%
HBP% /PA	0.00%	—	×0.980	—	×1.018	0.00%
Singles /BIP	16.67%	÷1.000	×0.900	×0.956	×1.018	14.60%
Doubles /BIP	2.78%	÷1.061	×0.810	×0.956	×1.018	2.06%
Triples /BIP	0.69%	÷1.150	×0.810	×0.956	×1.018	0.48%
Home runs /BIP	9.03%	÷1.040	×0.780	—	×1.018	6.89%

Factors used: league row PCL. Park (home-season share, regressed): HR 108, 1B 100, 2B 112, 3B 130, K 99, BB 102 — 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 ×0.956.

Result: wOBA .341 → .262; ISO .259 → .190; BABIP .221 → .184. 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 AAAFresno Grizzlies · 259 PAwOBA .441 → .376 (−66)K% 14.7% → 18.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.67%	÷1.020	×1.290	—	—	18.56%
BB% (unintentional) /PA	15.83%	÷0.987	×0.710	—	×1.033	11.76%
HBP% /PA	0.77%	—	×0.980	—	×1.033	0.78%
Singles /BIP	28.57%	÷0.972	×0.900	×0.990	×1.033	27.06%
Doubles /BIP	10.86%	÷1.051	×0.810	×0.990	×1.033	8.56%
Triples /BIP	0.57%	÷1.021	×0.810	×0.990	×1.033	0.46%
Home runs /BIP	4.00%	÷1.060	×0.780	—	×1.033	3.04%

Factors used: league row PCL. Park (home-season share, regressed): HR 112, 1B 94, 2B 110, 3B 104, K 104, BB 97 — 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 ×0.990.

Result: wOBA .441 → .376; ISO .197 → .156; BABIP .412 → .368. 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 AACorpus Christi Hooks · 236 PAwOBA .375 → .307 (−67)K% 14.8% → 18.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.83%	÷0.964	×1.220	—	—	18.78%
BB% (unintentional) /PA	17.37%	÷1.003	×0.700	—	×0.998	12.10%
HBP% /PA	0.85%	—	×0.870	—	×0.998	0.74%
Singles /BIP	26.45%	÷1.022	×0.920	×0.978	×0.998	23.25%
Doubles /BIP	3.87%	÷0.963	×0.840	×0.978	×0.998	3.30%
Triples /BIP	0.00%	÷0.900	×0.940	×0.978	×0.998	0.00%
Home runs /BIP	4.52%	÷1.059	×0.800	—	×0.998	3.41%

Factors used: league row TL. Park (home-season share, regressed): HR 112, 1B 104, 2B 93, 3B 80, K 93, BB 101 — 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 ×0.978.

Result: wOBA .375 → .307; ISO .142 → .115; BABIP .313 → .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).