Jabari Blash

PosRF

B/TR/R

Born1989-07-04

Age (2027)38

No MLB projection yet. Career stats below are historical.

Overview

AAALAST SEASON 2018

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2016	27	AAA/INTL2 orgs	260	.241/.398/.468	11	2	77	—	.179/.310/.337
2016	27	MLBSD	84	.169/.298/.324	3	1	82	-0.3
2017	28	AAA/INTL2 orgs	373	.285/.427/.604	25	3	120	—	.199/.321/.415
2017	28	MLBSD	195	.213/.335/.341	5	1	99	-0.8
2018	29	AAALAA	346	.317/.432/.700	29	5	118	—	.223/.313/.495
2018	29	MLBLAA	45	.103/.205/.128	0	2	0	-1.0
2019	30	No MLB games played
2020	31	No MLB games played
2021	32	No MLB games played
2022	33	No MLB games played
2023	34	No MLB games played
2024	35	No MLB games played
2025	36	No MLB games played
2026	37	No MLB games played

Last 3 seasons WAR -2.1

Contract

No contract data on file.

Skills · percentileStatcast 2016-2018

Barrel%66

xwOBA45

Speed43

Avg EV23

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)
2010	21	ROK	Pulaski Mariners	—	128	109	29	6	1	5	13	44	4	1	1	266	362	477	839	211	393	34	10	368	51	—	—	—	—	—	—
2011	22	A	Clinton LumberKings	—	162	124	27	5	1	3	38	43	0	5	2	218	401	347	748	129	308	27	23	352	65	—	—	—	—	—	—
2012	23	A	Clinton LumberKings	—	471	400	98	20	5	15	60	134	9	13	7	245	356	432	789	188	328	28	13	352	64	—	—	—	—	—	—
2013	24	AA	Jackson Generals	—	120	97	30	3	0	9	20	28	3	1	1	309	442	619	1.060	309	350	23	17	459	130	—	—	—	—	—	—
2013	24	A+	High Desert Mavericks	—	332	283	73	16	3	16	40	85	6	14	8	258	362	505	867	247	308	26	12	378	70	—	—	—	—	—	—
2014	25	AAA	Tacoma Rainiers	—	189	162	34	8	0	12	17	57	8	2	2	210	316	481	797	272	232	30	9	347	68	—	—	—	—	—	—
2014	25	AA	Jackson Generals	—	163	127	30	7	1	6	28	35	5	4	1	236	394	449	843	213	270	21	17	373	94	—	—	—	—	—	—
2015	26	AAA	Tacoma Rainiers	—	228	197	52	8	0	22	28	63	1	3	1	264	358	640	998	376	263	28	12	422	93	—	—	—	—	—	—
2015	26	AA	Jackson Generals	—	248	209	58	16	2	10	31	60	6	5	0	278	386	517	903	239	340	24	12	394	108	—	—	—	—	—	—
2016	27	MLB	San Diego Padres	—	84	71	12	2	0	3	11	34	2	1	0	169	298	324	622	155	265	40	13	289	82	-2	+0	+1	-4	+2	-0.3
2016	27	AAA	El Paso Chihuahuas	—	229	177	46	12	0	11	41	66	8	1	2	260	420	514	934	254	340	29	18	409	85	—	—	—	—	—	—
2016	27	INTL	Leones del Escogido	—	31	26	3	1	0	0	3	9	1	1	0	115	233	154	387	38	167	29	10	191	15	—	—	—	—	—	—
2017	28	MLB	San Diego Padres	—	195	164	35	6	0	5	28	66	2	1	2	213	335	341	677	128	319	34	14	312	99	-0	-1	-6	-6	+4	-0.8
2017	28	AAA	El Paso Chihuahuas	—	291	235	67	16	1	20	48	88	7	3	2	285	421	617	1.038	332	367	30	16	445	102	—	—	—	—	—	—
2017	28	INTL	Charros de Jalisco	—	82	63	18	2	0	5	17	27	2	0	1	286	451	556	1.007	270	419	33	21	442	185	—	—	—	—	—	—
2018	29	MLB	Los Angeles Angels	—	45	39	4	1	0	0	5	24	0	2	1	103	205	128	333	26	250	53	11	166	0	-5	+0	-1	-4	+1	-1.0
2018	29	AAA	Salt Lake Bees	—	346	287	91	21	1	29	49	102	9	5	7	317	432	700	1.132	383	395	29	14	480	118	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	324	274	51	9	0	8	44	124	4	4	3	186	307	307	614	120	299	38	14	286	80	-8	-0	-6	-14	+7	-2.1
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2010	21	ROK MLE	Pulaski Mariners	—	128	115	20	4	1	3	8	62	4	1	1	174	252	304	556	130	323	48	6	244	51	—	—	—	—	—	—
2011	22	A MLE	Clinton LumberKings	—	162	138	24	4	1	3	24	56	0	5	2	174	296	283	579	109	269	35	15	265	65	—	—	—	—	—	—
2012	23	A MLE	Clinton LumberKings	—	471	415	76	15	4	11	45	192	9	13	7	183	277	318	595	135	297	41	10	263	64	—	—	—	—	—	—
2013	24	AA MLE	Jackson Generals	—	120	104	27	3	0	7	13	34	3	1	1	260	358	490	849	231	312	28	11	361	130	—	—	—	—	—	—
2013	24	A+ MLE	High Desert Mavericks	—	332	296	56	12	2	11	27	119	6	14	8	189	271	355	625	166	262	36	8	272	70	—	—	—	—	—	—
2014	25	AAA MLE	Tacoma Rainiers	—	189	167	26	6	0	9	12	72	8	2	2	156	246	353	599	198	196	38	6	269	68	—	—	—	—	—	—
2014	25	AA MLE	Jackson Generals	—	163	139	29	7	1	6	16	44	5	4	1	209	312	403	715	194	237	27	10	307	94	—	—	—	—	—	—
2015	26	AAA MLE	Tacoma Rainiers	—	228	206	41	7	0	15	19	78	1	3	1	199	270	451	721	252	217	34	8	305	93	—	—	—	—	—	—
2015	26	AA MLE	Jackson Generals	—	248	218	53	14	2	9	22	75	6	5	0	243	329	450	779	206	311	30	9	328	108	—	—	—	—	—	—
2016	27	MLB MLE	San Diego Padres	—	84	71	12	2	0	3	11	34	2	1	0	169	298	324	622	155	265	40	13	290	82	-2	+0	+1	-4	+2	-0.3
2016	27	AAA MLE	El Paso Chihuahuas	—	229	190	34	9	0	7	28	90	8	1	2	179	310	337	647	158	273	39	12	294	85	—	—	—	—	—	—
2017	28	MLB MLE	San Diego Padres	—	195	164	35	6	0	5	28	66	2	1	2	213	335	341	677	128	319	34	14	314	99	-0	-1	-6	-6	+4	-0.8
2017	28	AAA MLE	El Paso Chihuahuas	—	291	246	49	12	1	13	37	113	7	3	2	199	321	415	735	215	292	39	13	319	102	—	—	—	—	—	—
2018	29	MLB MLE	Los Angeles Angels	—	45	39	4	1	0	0	5	24	0	2	1	103	205	128	333	26	250	53	11	168	0	-5	+0	-1	-4	+1	-1.0
2018	29	AAA MLE	Salt Lake Bees	—	346	305	68	15	1	22	31	131	9	5	7	223	313	495	808	272	296	38	9	342	118	—	—	—	—	—	—
2010	21	ROK MLE	Pulaski Mariners	—	128	115	20	4	1	3	8	62	4	1	1	174	252	304	556	130	333	48	6	244	51	—	—	—	—	—	—
2010	21	ROK RAW	Pulaski Mariners	—	128	109	29	6	1	5	13	44	4	1	1	266	362	477	839	211	393	34	10	368	51	—	—	—	—	—	—
2011	22	A MLE	Clinton LumberKings	—	162	138	24	4	1	3	24	56	0	5	2	174	296	283	579	109	266	35	15	265	65	—	—	—	—	—	—
2011	22	A RAW	Clinton LumberKings	—	162	124	27	5	1	3	38	43	0	5	2	218	401	347	748	129	308	27	23	352	65	—	—	—	—	—	—
2012	23	A MLE	Clinton LumberKings	—	471	415	76	15	4	11	45	192	9	13	7	183	277	318	595	135	304	41	10	263	64	—	—	—	—	—	—
2012	23	A RAW	Clinton LumberKings	—	471	400	98	20	5	15	60	134	9	13	7	245	356	432	789	188	328	28	13	352	64	—	—	—	—	—	—
2013	24	A+ MLE	2 teams	—	452	400	83	15	2	18	40	153	9	15	9	207	294	390	684	183	280	34	9	296	86	—	—	—	—	—	—
2013	24	A+ RAW	2 teams	—	452	380	103	19	3	25	60	113	9	15	9	271	383	534	917	263	318	25	13	399	86	—	—	—	—	—	—
2014	25	AAA MLE	2 teams	—	352	306	55	13	1	15	28	117	13	6	3	180	277	376	652	196	223	33	8	287	80	—	—	—	—	—	—
2014	25	AAA RAW	2 teams	—	352	289	64	15	1	18	45	92	13	6	3	221	352	467	819	246	250	26	13	359	80	—	—	—	—	—	—
2015	26	AA MLE	2 teams	—	476	424	92	20	2	24	41	153	7	8	1	217	297	443	740	226	271	32	9	317	101	—	—	—	—	—	—
2015	26	AA RAW	2 teams	—	476	406	110	24	2	32	59	123	7	8	1	271	373	576	949	305	306	26	12	408	101	—	—	—	—	—	—
2016	27	AAA MLE	3 teams	—	344	286	51	12	0	11	43	136	11	3	2	178	309	336	644	157	280	40	12	293	84	—	—	—	—	—	—
2016	27	AAA RAW	3 teams	—	344	274	61	15	0	14	55	109	11	3	2	223	374	431	804	208	303	32	16	360	84	—	—	—	—	—	—
2017	28	AAA MLE	3 teams	—	568	479	98	21	1	21	76	209	11	4	5	205	327	384	711	180	307	37	13	317	101	—	—	—	—	—	—
2017	28	AAA RAW	3 teams	—	568	462	120	24	1	30	93	181	11	4	5	260	396	511	907	251	356	32	16	399	101	—	—	—	—	—	—
2018	29	AAA MLE	2 teams	—	391	344	72	16	1	22	36	155	9	7	8	209	301	453	754	244	296	40	9	322	104	—	—	—	—	—	—
2018	29	AAA RAW	2 teams	—	391	326	95	22	1	29	54	126	9	7	8	291	406	632	1.038	340	382	32	14	444	104	—	—	—	—	—	—
2010	21	ROK MLE	Pulaski Mariners	—	128	115	20	4	1	3	8	62	4	1	1	174	252	304	556	130	323	48	6	244	51	—	—	—	—	—	—
2011	22	A MLE	Clinton LumberKings	—	162	137	24	4	1	3	24	56	0	5	2	175	296	285	581	109	269	35	15	265	65	—	—	—	—	—	—
2012	23	A MLE	Clinton LumberKings	—	471	414	76	15	4	11	45	192	9	13	7	184	277	319	596	135	297	41	10	263	64	—	—	—	—	—	—
2013	24	A+ MLE	2 teams	—	452	400	83	15	2	18	40	153	9	15	9	207	294	390	684	183	275	34	9	296	86	—	—	—	—	—	—
2014	25	AAA MLE	2 teams	—	352	308	55	13	1	15	28	117	13	6	3	179	277	373	650	195	215	33	8	287	80	—	—	—	—	—	—
2015	26	AA MLE	2 teams	—	476	425	92	20	2	24	41	153	7	8	1	216	297	442	739	226	266	32	9	317	101	—	—	—	—	—	—
2016	27	AAA MLE	3 teams	—	344	287	51	12	0	11	43	136	11	3	2	178	309	334	643	157	271	40	12	293	84	—	—	—	—	—	—
2017	28	AAA MLE	3 teams	—	568	476	98	21	1	21	76	209	11	4	5	206	327	387	713	181	303	37	13	317	101	—	—	—	—	—	—
2018	29	AAA MLE	2 teams	—	391	343	72	16	1	22	36	155	9	7	8	210	301	455	756	245	291	40	9	322	104	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	324	274	51	9	0	8	44	124	4	4	3	186	307	307	614	120	299	38	14	286	87	-8	-0	-6	-14	+7	-2.1
/ 162G	—	A+C		—	650	550	102	18	0	16	88	249	8	8	6	185	307	305	612	120	298	38	14	286	87	-16	-1	-12	-28	+14	-4.3
Career	—	MLE		—	3344	2907	571	120	13	128	341	1233	73	62	38	196	297	379	675	182	282	37	10	296	87	-8	-0	-6	-14	+7	-2.1
/ 162G	—	MLE		—	650	565	111	23	3	25	66	240	14	12	7	196	296	381	676	184	283	37	10	296	87	-16	-1	-12	-28	+14	-4.3

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.

2018 AAASalt Lake Bees · 346 PAwOBA .467 → .342 (−125)K% 29.5% → 37.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	29.48%	÷1.003	×1.290	—	—	37.92%
BB% (unintentional) /PA	13.87%	÷1.068	×0.710	—	×0.982	9.05%
HBP% /PA	2.60%	—	×0.980	—	×0.982	2.50%
Singles /BIP	21.62%	÷1.064	×0.900	×0.964	×0.982	17.31%
Doubles /BIP	11.35%	÷1.045	×0.810	×0.964	×0.982	8.33%
Triples /BIP	0.54%	÷0.969	×0.810	×0.964	×0.982	0.43%
Home runs /BIP	15.68%	÷0.958	×0.780	—	×0.982	12.54%

Factors used: league row PCL. Park (home-season share, regressed): HR 92, 1B 113, 2B 109, 3B 94, K 101, BB 114 — 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 ×0.964.

Result: wOBA .467 → .342; ISO .383 → .285; BABIP .395 → .296. 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 AAAEl Paso Chihuahuas · 291 PAwOBA .435 → .319 (−116)K% 30.2% → 38.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	30.24%	÷1.005	×1.290	—	—	38.83%
BB% (unintentional) /PA	16.49%	÷0.921	×0.710	—	×0.992	12.61%
HBP% /PA	2.41%	—	×0.980	—	×0.992	2.34%
Singles /BIP	20.41%	÷1.040	×0.900	×0.986	×0.992	17.27%
Doubles /BIP	10.88%	÷0.983	×0.810	×0.986	×0.992	8.76%
Triples /BIP	0.68%	÷1.049	×0.810	×0.986	×0.992	0.51%
Home runs /BIP	13.61%	÷1.087	×0.780	—	×0.992	9.68%

Factors used: league row PCL. Park (home-season share, regressed): HR 117, 1B 108, 2B 97, 3B 110, K 101, BB 84 — 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 ×0.986.

Result: wOBA .435 → .319; ISO .332 → .222; BABIP .367 → .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).

2016 AAAEl Paso Chihuahuas · 229 PAwOBA .403 → .294 (−109)K% 28.8% → 39.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	28.82%	÷0.951	×1.290	—	—	39.10%
BB% (unintentional) /PA	17.47%	÷1.004	×0.710	—	×1.003	12.39%
HBP% /PA	3.49%	—	×0.980	—	×1.003	3.43%
Singles /BIP	20.72%	÷1.026	×0.900	×0.967	×1.003	17.62%
Doubles /BIP	10.81%	÷0.987	×0.810	×0.967	×1.003	8.61%
Triples /BIP	0.00%	÷1.028	×0.810	×0.967	×1.003	0.00%
Home runs /BIP	9.91%	÷1.160	×0.780	—	×1.003	6.68%

Factors used: league row PCL. Park (home-season share, regressed): HR 132, 1B 105, 2B 97, 3B 106, K 90, BB 101 — 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 ×0.967.

Result: wOBA .403 → .294; ISO .254 → .167; BABIP .340 → .273. 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 AAJackson Generals · 248 PAwOBA .387 → .328 (−59)K% 24.2% → 30.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.19%	÷0.973	×1.220	—	—	30.34%
BB% (unintentional) /PA	12.50%	÷0.950	×0.680	—	×0.988	8.84%
HBP% /PA	2.42%	—	×0.840	—	×0.988	2.01%
Singles /BIP	20.13%	÷0.974	×0.920	×1.009	×0.988	18.96%
Doubles /BIP	10.74%	÷1.032	×0.910	×1.009	×0.988	9.44%
Triples /BIP	1.34%	÷0.900	×0.880	×1.009	×0.988	1.31%
Home runs /BIP	6.71%	÷0.890	×0.800	—	×0.988	5.96%

Factors used: league row SL. Park (home-season share, regressed): HR 78, 1B 95, 2B 106, 3B 80, K 95, BB 90 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.009.

Result: wOBA .387 → .328; ISO .239 → .209; BABIP .340 → .311. 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 AAATacoma Rainiers · 228 PAwOBA .413 → .305 (−108)K% 27.6% → 34.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	27.63%	÷1.049	×1.290	—	—	33.97%
BB% (unintentional) /PA	12.28%	÷1.046	×0.710	—	×1.018	8.48%
HBP% /PA	0.44%	—	×0.980	—	×1.018	0.44%
Singles /BIP	16.42%	÷0.995	×0.900	×0.950	×1.018	14.36%
Doubles /BIP	5.97%	÷0.910	×0.810	×0.950	×1.018	5.14%
Triples /BIP	0.00%	÷0.900	×0.810	×0.950	×1.018	0.00%
Home runs /BIP	16.42%	÷1.127	×0.780	—	×1.018	11.57%

Factors used: league row PCL. Park (home-season share, regressed): HR 125, 1B 99, 2B 82, 3B 80, K 110, BB 109 — 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 ×0.950.

Result: wOBA .413 → .305; ISO .376 → .263; BABIP .263 → .217. 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 AAATacoma Rainiers · 189 PAwOBA .341 → .269 (−72)K% 30.2% → 38.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	30.16%	÷1.017	×1.290	—	—	38.25%
BB% (unintentional) /PA	8.99%	÷1.052	×0.710	—	×1.033	6.27%
HBP% /PA	4.23%	—	×0.980	—	×1.033	4.29%
Singles /BIP	13.33%	÷1.016	×0.900	×0.954	×1.033	11.64%
Doubles /BIP	7.62%	÷0.937	×0.810	×0.954	×1.033	6.49%
Triples /BIP	0.00%	÷0.971	×0.810	×0.954	×1.033	0.00%
Home runs /BIP	11.43%	÷0.963	×0.780	—	×1.033	9.57%

Factors used: league row PCL. Park (home-season share, regressed): HR 93, 1B 103, 2B 87, 3B 94, K 103, BB 110 — 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 ×0.954.

Result: wOBA .341 → .269; ISO .272 → .210; BABIP .232 → .196. 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 AAJackson Generals · 163 PAwOBA .367 → .307 (−60)K% 21.5% → 27.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.47%	÷0.968	×1.220	—	—	27.06%
BB% (unintentional) /PA	15.95%	÷1.083	×0.680	—	×0.998	9.99%
HBP% /PA	3.07%	—	×0.840	—	×0.998	2.57%
Singles /BIP	17.39%	÷1.003	×0.920	×0.958	×0.998	15.24%
Doubles /BIP	7.61%	÷0.955	×0.910	×0.958	×0.998	6.93%
Triples /BIP	1.09%	÷0.975	×0.880	×0.958	×0.998	0.94%
Home runs /BIP	6.52%	÷0.930	×0.800	—	×0.998	5.60%

Factors used: league row SL. Park (home-season share, regressed): HR 86, 1B 101, 2B 91, 3B 95, K 94, BB 117 — 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 ×0.958.

Result: wOBA .367 → .307; ISO .213 → .198; BABIP .270 → .237. 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 A+High Desert Mavericks · 332 PAwOBA .371 → .272 (−99)K% 25.6% → 35.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.60%	÷0.960	×1.340	—	—	35.75%
BB% (unintentional) /PA	12.05%	÷1.037	×0.710	—	×0.988	8.15%
HBP% /PA	1.81%	—	×0.790	—	×0.988	1.41%
Singles /BIP	19.19%	÷1.038	×0.910	×1.033	×0.988	17.18%
Doubles /BIP	8.08%	÷0.990	×0.820	×1.033	×0.988	6.83%
Triples /BIP	1.52%	÷1.083	×0.760	×1.033	×0.988	1.09%
Home runs /BIP	8.08%	÷1.251	×0.920	—	×0.988	5.87%

Factors used: league row CAL. Park (home-season share, regressed): HR 150, 1B 108, 2B 98, 3B 117, K 92, BB 107 — applied at half strength. Age: age 24 vs a level average of 22.8 → −1.2% on BB/HBP/hit rates (1.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.033.

Result: wOBA .371 → .272; ISO .247 → .171; BABIP .308 → .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).

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