Mallex Smith

PosCF

B/TL/R

Born1993-05-06

Age (2027)34

No MLB projection yet. Career stats below are historical.

Overview

INTL

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2022	29	AAA/INTL2 orgs	109	.183/.296/.194	0	11	25	—	.185/.275/.198
2023	30	INTLTomateros de …	271	.291/.369/.402	3	23	115	—
2026	33	INTLCaneros de lo…	33	.172/.250/.207	0	1	30	—

Contract

No contract data on file.

Skills · percentileStatcast 2018-2020

Speed84

xwOBA21

Barrel%10

Avg EV10

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)
2012	19	ROK	AZL Padres	—	105	96	33	2	1	1	5	19	1	13	3	344	382	417	799	73	416	18	5	350	71	—	—	—	—	—	—
2013	20	A	Fort Wayne TinCaps	—	507	424	111	17	2	4	59	84	12	64	16	262	368	340	707	78	318	17	12	322	71	—	—	—	—	—	—
2014	21	A+	Lake Elsinore Storm	—	261	223	73	16	1	5	31	48	2	40	10	327	414	475	889	148	400	18	12	390	124	—	—	—	—	—	—
2014	21	A	Fort Wayne TinCaps	—	303	254	75	13	6	0	38	55	4	48	16	295	395	394	789	98	373	18	13	352	82	—	—	—	—	—	—
2014	21	INTL	Surprise Saguaros	—	72	59	18	2	0	0	11	12	0	4	0	305	414	339	753	34	375	17	15	343	119	—	—	—	—	—	—
2015	22	AAA	Gwinnett Braves	—	307	278	78	12	6	0	24	44	1	34	7	281	340	367	707	86	332	14	8	316	85	—	—	—	—	—	—
2015	22	AA	Mississippi Braves	—	241	206	70	5	2	2	27	41	2	23	6	340	419	413	832	73	412	17	11	371	126	—	—	—	—	—	—
2016	23	MLB	Atlanta Braves	—	215	189	45	7	4	3	20	48	2	16	8	238	318	365	683	127	302	22	9	303	91	-2	+0	+3	+1	+5	0.6
2016	23	AAA	Gwinnett Braves	—	16	15	6	2	1	0	0	3	1	1	0	400	438	667	1.104	267	500	19	0	477	166	—	—	—	—	—	—
2016	23	AA	Mississippi Braves	—	20	16	7	0	1	0	4	5	0	3	1	438	550	562	1.113	125	636	25	20	492	166	—	—	—	—	—	—
2016	23	INTL	Indios de Mayaguez	—	79	66	10	2	2	1	6	14	1	4	2	152	233	288	521	136	170	18	8	219	35	—	—	—	—	—	—
2017	24	MLB	Tampa Bay Rays	—	282	256	69	8	4	2	23	62	0	16	5	270	330	355	685	86	347	22	8	307	92	-3	+1	-1	+2	+6	0.5
2017	24	AAA	Durham Bulls	—	205	186	49	7	4	3	17	45	0	21	8	263	325	392	718	129	333	22	8	318	79	—	—	—	—	—	—
2018	25	MLB	Tampa Bay Rays	—	544	480	142	27	10	2	47	98	8	40	12	296	368	406	774	110	366	18	9	343	116	+11	+3	-4	+2	+12	2.4
2019	26	MLB	Seattle Mariners	—	566	510	116	19	9	6	42	141	11	46	9	227	300	335	635	108	302	25	7	288	83	-12	+6	+5	+2	+12	1.4
2019	26	AAA	Tacoma Rainiers	—	48	45	15	3	0	1	3	4	0	7	0	333	375	467	842	133	350	8	6	375	97	—	—	—	—	—	—
2020	27	MLB	Seattle Mariners	—	47	45	6	2	0	0	2	13	0	2	0	133	170	178	348	44	188	28	4	161	-4	-6	+0	-3	-1	+1	-0.8
2021	28	AAA	Buffalo Bisons	—	94	83	22	1	1	3	11	22	0	7	3	265	351	410	761	145	328	23	12	343	61	—	—	—	—	—	—
2021	28	ROK	FCL Blue Jays	—	23	15	3	1	0	0	7	8	1	4	1	200	478	267	745	67	429	35	30	379	45	—	—	—	—	—	—
2022	29	AAA	Buffalo Bisons	—	91	77	15	1	0	0	13	23	1	11	2	195	319	208	526	13	278	25	14	261	34	—	—	—	—	—	—
2022	29	INTL	Toros del Este	—	18	16	2	0	0	0	1	5	0	0	0	125	176	125	301		182	28	6	139	-20	—	—	—	—	—	—
2023	30	INTL	Tomateros de Culiacan	—	271	234	68	11	3	3	26	34	3	23	3	291	369	402	771	111	330	13	10	338	115	—	—	—	—	—	—
2026	33	INTL	Caneros de los Mochis	—	33	29	5	1	0	0	2	8	1	1	1	172	250	207	457	34	238	24	6	213	30	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	1654	1480	378	63	27	13	134	362	21	120	34	255	326	361	687	105	329	22	8	308	95	-11	+10	-1	+7	+36	4.2
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2012	19	ROK MLE	AZL Padres	—	105	98	27	1	1	1	3	27	1	13	3	276	304	337	641	61	355	26	3	273	71	—	—	—	—	—	—
2013	20	A MLE	Fort Wayne TinCaps	—	507	439	104	13	2	4	44	116	12	64	16	237	323	303	626	66	297	23	9	273	71	—	—	—	—	—	—
2014	21	A+ MLE	Lake Elsinore Storm	—	261	230	70	14	1	5	24	63	2	40	10	304	375	439	814	135	393	24	9	351	124	—	—	—	—	—	—
2014	21	A MLE	Fort Wayne TinCaps	—	303	264	66	10	5	0	28	78	4	48	16	250	331	326	657	76	338	26	9	289	82	—	—	—	—	—	—
2015	22	AAA MLE	Gwinnett Braves	—	307	286	79	11	6	0	16	56	1	34	7	276	317	357	673	80	338	18	5	294	85	—	—	—	—	—	—
2015	22	AA MLE	Mississippi Braves	—	241	216	73	6	2	2	18	48	2	23	6	338	394	412	806	74	410	20	7	354	126	—	—	—	—	—	—
2016	23	MLB MLE	Atlanta Braves	—	215	189	45	7	4	3	20	48	2	16	8	238	318	365	683	127	302	22	9	303	91	-2	+0	+3	+1	+5	0.6
2016	23	AAA MLE	Gwinnett Braves	—	16	15	6	2	1	0	0	3	1	1	0	400	438	667	1.104	267	461	19	0	413	166	—	—	—	—	—	—
2016	23	AA MLE	Mississippi Braves	—	20	17	7	0	1	0	3	6	0	3	1	412	500	529	1.029	118	579	30	15	414	166	—	—	—	—	—	—
2017	24	MLB MLE	Tampa Bay Rays	—	282	256	68	8	4	2	23	62	0	16	5	266	326	352	678	86	347	22	8	304	92	-3	+1	-1	+2	+6	0.5
2017	24	AAA MLE	Durham Bulls	—	205	191	48	6	4	3	12	52	0	21	8	251	296	372	667	120	327	25	6	285	79	—	—	—	—	—	—
2018	25	MLB MLE	Tampa Bay Rays	—	544	480	141	28	10	2	47	98	8	40	12	294	366	406	773	112	366	18	9	340	116	+11	+3	-4	+2	+12	2.4
2019	26	MLB MLE	Seattle Mariners	—	566	510	116	19	9	6	42	141	11	46	9	227	300	335	635	108	302	25	7	291	83	-12	+6	+5	+2	+12	1.4
2019	26	AAA MLE	Tacoma Rainiers	—	48	46	13	2	0	1	2	5	0	7	0	283	312	391	704	109	316	10	4	311	97	—	—	—	—	—	—
2020	27	MLB MLE	Seattle Mariners	—	47	45	6	2	0	0	2	13	0	2	0	133	170	178	348	44	188	28	4	163	-4	-6	+0	-3	-1	+1	-0.8
2021	28	AAA MLE	Buffalo Bisons	—	94	87	19	1	1	2	7	27	0	7	3	218	277	322	598	103	290	29	7	259	61	—	—	—	—	—	—
2021	28	ROK MLE	FCL Blue Jays	—	23	18	2	1	0	0	4	12	1	4	1	111	304	167	471	56	317	52	17	235	45	—	—	—	—	—	—
2022	29	AAA MLE	Buffalo Bisons	—	91	81	15	1	0	0	9	27	1	11	2	185	275	198	472	12	272	30	10	219	34	—	—	—	—	—	—
2012	19	ROK MLE	AZL Padres	—	105	98	27	1	1	1	3	27	1	13	3	276	304	337	641	61	366	26	3	273	71	—	—	—	—	—	—
2012	19	ROK RAW	AZL Padres	—	105	96	33	2	1	1	5	19	1	13	3	344	382	417	799	73	416	18	5	350	71	—	—	—	—	—	—
2013	20	A MLE	Fort Wayne TinCaps	—	507	439	104	13	2	4	44	116	12	64	16	237	323	303	626	66	312	23	9	273	71	—	—	—	—	—	—
2013	20	A RAW	Fort Wayne TinCaps	—	507	424	111	17	2	4	59	84	12	64	16	262	368	340	707	78	318	17	12	322	71	—	—	—	—	—	—
2014	21	A MLE	3 teams	—	636	558	155	28	7	6	58	160	6	92	26	278	352	385	737	108	377	25	9	318	101	—	—	—	—	—	—
2014	21	A RAW	3 teams	—	636	536	166	31	7	5	80	115	6	92	26	310	405	422	827	112	384	18	13	366	101	—	—	—	—	—	—
2015	22	AAA MLE	2 teams	—	548	502	153	17	9	2	34	105	3	57	13	305	353	386	739	82	379	19	6	320	103	—	—	—	—	—	—
2015	22	AAA RAW	2 teams	—	548	484	148	17	8	2	51	85	3	57	13	306	375	386	761	81	365	16	9	340	103	—	—	—	—	—	—
2016	23	MLB MLE	4 teams	—	330	286	74	11	7	4	30	75	4	24	11	259	338	388	726	129	333	23	9	319	102	+1	+0	+3	+1	+7	1.2
2016	23	MLB RAW	4 teams	—	330	286	68	11	8	4	30	70	4	24	11	238	319	374	693	136	298	21	9	303	102	+1	+0	+3	+1	+7	1.2
2017	24	MLB MLE	2 teams	—	487	447	116	14	8	5	35	114	0	37	13	260	313	360	673	101	337	23	7	296	87	-8	+2	-1	+2	+11	0.5
2017	24	MLB RAW	2 teams	—	487	442	118	15	8	5	40	107	0	37	13	267	328	371	699	104	341	22	8	312	87	-8	+2	-1	+2	+11	0.5
2018	25	MLB MLE	Tampa Bay Rays	—	544	480	141	28	10	2	47	98	8	40	12	294	366	406	773	112	364	18	9	340	116	+11	+3	-4	+2	+12	2.4
2018	25	MLB RAW	Tampa Bay Rays	—	544	480	142	27	10	2	47	98	8	40	12	296	368	406	774	110	366	18	9	343	116	+11	+3	-4	+2	+12	2.4
2019	26	MLB MLE	2 teams	—	614	556	131	22	9	7	44	146	11	53	9	236	304	345	650	110	307	24	7	292	84	-12	+7	+5	+2	+13	1.6
2019	26	MLB RAW	2 teams	—	614	555	131	22	9	7	45	145	11	53	9	236	306	346	652	110	307	24	7	295	84	-12	+7	+5	+2	+13	1.6
2020	27	MLB MLE	Seattle Mariners	—	47	45	6	2	0	0	2	13	0	2	0	133	170	178	348	44	188	28	4	163	-4	-6	+0	-3	-1	+1	-0.8
2020	27	MLB RAW	Seattle Mariners	—	47	45	6	2	0	0	2	13	0	2	0	133	170	178	348	44	188	28	4	161	-4	-6	+0	-3	-1	+1	-0.8
2021	28	AAA MLE	2 teams	—	117	105	21	2	1	2	11	39	1	11	4	200	282	295	577	95	297	33	9	254	58	—	—	—	—	—	—
2021	28	AAA RAW	2 teams	—	117	98	25	2	1	3	18	30	1	11	4	255	376	388	764	133	338	26	15	350	58	—	—	—	—	—	—
2022	29	AAA MLE	2 teams	—	109	97	18	1	0	0	10	32	1	11	2	186	269	196	464	10	277	29	9	219	34	—	—	—	—	—	—
2022	29	AAA RAW	2 teams	—	109	93	17	1	0	0	14	28	1	11	2	183	296	194	490	11	262	26	13	241	34	—	—	—	—	—	—
2023	30	INTL MLE	Tomateros de Culiacan	—	271	234	68	11	3	3	26	34	3	23	3	291	369	402	771	111	330	13	10	—	—	—	—	—	—	—	—
2023	30	INTL RAW	Tomateros de Culiacan	—	271	234	68	11	3	3	26	34	3	23	3	291	369	402	771	111	330	13	10	338	115	—	—	—	—	—	—
2026	33	INTL MLE	Caneros de los Mochis	—	33	29	5	1	0	0	2	8	1	1	1	172	250	207	457	34	238	24	6	—	—	—	—	—	—	—	—
2026	33	INTL RAW	Caneros de los Mochis	—	33	29	5	1	0	0	2	8	1	1	1	172	250	207	457	34	238	24	6	213	30	—	—	—	—	—	—
2012	19	ROK MLE	AZL Padres	—	105	100	27	1	1	1	3	27	1	13	3	270	304	330	634	60	355	26	3	273	71	—	—	—	—	—	—
2013	20	A MLE	Fort Wayne TinCaps	—	507	446	104	13	2	4	44	116	12	64	16	233	323	298	621	65	297	23	9	273	71	—	—	—	—	—	—
2014	21	A MLE	3 teams	—	636	567	155	28	7	6	58	160	6	92	26	273	352	379	731	106	363	25	9	318	101	—	—	—	—	—	—
2015	22	AAA MLE	2 teams	—	548	506	153	17	9	2	34	105	3	57	13	302	353	383	736	81	370	19	6	320	103	—	—	—	—	—	—
2016	23	MLB MLE	4 teams	—	330	293	74	11	7	4	30	75	4	24	11	253	338	379	716	126	334	23	9	319	102	—	—	—	—	—	—
2017	24	MLB MLE	2 teams	—	487	449	116	14	8	5	35	114	0	37	13	258	313	359	672	100	339	23	7	296	87	—	—	—	—	—	—
2018	25	MLB MLE	Tampa Bay Rays	—	544	484	141	28	10	2	47	98	8	40	12	291	366	403	769	112	366	18	9	340	116	—	—	—	—	—	—
2019	26	MLB MLE	2 teams	—	614	554	131	22	9	7	44	146	11	53	9	236	304	347	651	110	303	24	7	292	84	—	—	—	—	—	—
2020	27	MLB MLE	Seattle Mariners	—	47	45	6	2	0	0	2	13	0	2	0	133	170	178	348	44	188	28	4	163	-4	—	—	—	—	—	—
2021	28	AAA MLE	2 teams	—	117	104	21	2	1	2	11	39	1	11	4	202	282	298	580	96	295	33	9	254	58	—	—	—	—	—	—
2022	29	AAA MLE	2 teams	—	109	97	18	1	0	0	10	32	1	11	2	186	269	196	464	10	272	29	9	219	34	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1654	1480	378	63	27	13	134	362	21	120	34	255	326	361	687	105	329	22	8	308	76	-11	+10	-1	+7	+36	4.2
/ 162G	—	A+C		—	650	582	149	25	11	5	53	142	8	47	13	256	327	363	690	107	330	22	8	308	76	-4	+4	-0	+3	+14	1.7
Career	—	MLE		—	4348	3876	1019	151	57	36	346	967	51	428	113	263	331	359	691	96	340	22	8	281	76	-11	+10	-1	+7	+36	4.2
/ 162G	—	MLE		—	650	579	153	23	9	5	52	145	8	64	17	264	333	361	694	97	343	22	8	281	76	-4	+4	-0	+3	+14	1.7

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.

2022 AAABuffalo Bisons · 91 PAwOBA .256 → .219 (−37)K% 25.3% → 29.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.27%	÷1.018	×1.200	—	—	29.80%
BB% (unintentional) /PA	14.29%	÷1.032	×0.690	—	×0.982	9.38%
HBP% /PA	1.10%	—	×0.940	—	×0.982	1.01%
Singles /BIP	25.93%	÷0.960	×0.930	×1.039	×0.982	25.61%
Doubles /BIP	1.85%	÷0.984	×0.830	×1.039	×0.982	1.59%
Triples /BIP	0.00%	÷1.149	×0.970	×1.039	×0.982	0.00%
Home runs /BIP	0.00%	÷0.951	×0.700	—	×0.982	0.00%

Factors used: league row International League. Park (home-season share, regressed): HR 90, 1B 92, 2B 97, 3B 130, K 104, BB 106 — 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 ×1.039.

Result: wOBA .256 → .219; ISO .013 → .011; BABIP .278 → .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).

2021 AAABuffalo Bisons · 94 PAwOBA .334 → .259 (−75)K% 23.4% → 29.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.40%	÷0.965	×1.200	—	—	29.09%
BB% (unintentional) /PA	11.70%	÷1.024	×0.690	—	×0.992	7.82%
HBP% /PA	0.00%	—	×0.940	—	×0.992	0.00%
Singles /BIP	27.87%	÷1.071	×0.930	×1.050	×0.992	25.21%
Doubles /BIP	1.64%	÷0.962	×0.830	×1.050	×0.992	1.47%
Triples /BIP	1.64%	÷1.150	×0.920	×1.050	×0.992	1.37%
Home runs /BIP	4.92%	÷1.081	×0.700	—	×0.992	3.16%

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 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 ×1.050.

Result: wOBA .334 → .259; ISO .145 → .098; BABIP .328 → .290. 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 ROKFCL Blue Jays · 23 PAwOBA .372 → .235 (−137)K% 34.8% → 50.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	34.78%	÷1.000	×1.440	—	—	50.09%
BB% (unintentional) /PA	30.43%	÷1.000	×0.620	—	×0.940	17.74%
HBP% /PA	4.35%	—	×0.720	—	×0.940	2.94%
Singles /BIP	28.57%	÷1.000	×0.820	—	×0.940	22.02%
Doubles /BIP	14.29%	÷1.000	×0.720	—	×0.940	9.67%
Triples /BIP	0.00%	÷1.000	×0.720	—	×0.940	0.00%
Home runs /BIP	0.00%	÷1.000	×0.780	—	×0.940	0.00%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 28 vs a level average of 19.5 → −6.0% on BB/HBP/hit rates (8.5 yr older than average).

Result: wOBA .372 → .235; ISO .067 → .043; BABIP .429 → .317. 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).

2019 AAATacoma Rainiers · 48 PAwOBA .364 → .311 (−53)K% 8.3% → 10.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	8.33%	÷0.990	×1.290	—	—	10.86%
BB% (unintentional) /PA	6.25%	÷1.039	×0.710	—	×1.018	4.35%
HBP% /PA	0.00%	—	×0.980	—	×1.018	0.00%
Singles /BIP	26.83%	÷0.985	×0.900	—	×1.018	24.95%
Doubles /BIP	7.32%	÷0.998	×0.810	—	×1.018	6.04%
Triples /BIP	0.00%	÷1.073	×0.810	—	×1.018	0.00%
Home runs /BIP	2.44%	÷1.049	×0.780	—	×1.018	1.85%

Factors used: league row PCL. Park (home-season share, regressed): HR 110, 1B 97, 2B 100, 3B 115, K 98, BB 108 — 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).

Result: wOBA .364 → .311; ISO .133 → .105; BABIP .350 → .316. 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 AAADurham Bulls · 205 PAwOBA .308 → .285 (−24)K% 22.0% → 25.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.95%	÷1.027	×1.200	—	—	25.65%
BB% (unintentional) /PA	7.80%	÷0.993	×0.690	—	×1.048	5.69%
HBP% /PA	0.00%	—	×0.940	—	×1.048	0.00%
Singles /BIP	24.82%	÷1.025	×0.930	×1.046	×1.048	24.69%
Doubles /BIP	4.96%	÷1.008	×0.830	×1.046	×1.048	4.48%
Triples /BIP	2.84%	÷1.022	×0.970	×1.046	×1.048	2.95%
Home runs /BIP	2.13%	÷1.049	×0.840	—	×1.048	1.79%

Factors used: league row IL. Park (home-season share, regressed): HR 110, 1B 105, 2B 102, 3B 104, K 105, BB 99 — 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 ×1.046.

Result: wOBA .308 → .285; ISO .129 → .119; BABIP .333 → .327. 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 AAMississippi Braves · 20 PAwOBA .480 → .414 (−66)K% 25.0% → 29.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.00%	÷1.043	×1.220	—	—	29.24%
BB% (unintentional) /PA	20.00%	÷0.997	×0.680	—	×1.027	14.01%
HBP% /PA	0.00%	—	×0.840	—	×1.027	0.00%
Singles /BIP	54.55%	÷1.014	×0.920	—	×1.027	50.80%
Doubles /BIP	0.00%	÷1.104	×0.910	—	×1.027	0.00%
Triples /BIP	9.09%	÷1.150	×0.880	—	×1.027	7.14%
Home runs /BIP	0.00%	÷1.084	×0.800	—	×1.027	0.00%

Factors used: league row SL. Park (home-season share, regressed): HR 117, 1B 103, 2B 121, 3B 130, K 109, BB 99 — applied at half strength. Age: age 23 vs a level average of 24.8 → +2.7% on BB/HBP/hit rates (1.8 yr younger than average).

Result: wOBA .480 → .414; ISO .125 → .101; BABIP .636 → .579. 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 AAAGwinnett Braves · 16 PAwOBA .464 → .413 (−51)K% 18.8% → 21.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.75%	÷1.046	×1.200	—	—	21.50%
BB% (unintentional) /PA	0.00%	÷1.022	×0.690	—	×1.050	0.00%
HBP% /PA	6.25%	—	×0.940	—	×1.050	6.17%
Singles /BIP	25.00%	÷1.017	×0.930	—	×1.050	24.01%
Doubles /BIP	16.67%	÷0.991	×0.830	—	×1.050	14.66%
Triples /BIP	8.33%	÷1.150	×0.970	—	×1.050	7.38%
Home runs /BIP	0.00%	÷1.132	×0.840	—	×1.050	0.00%

Factors used: league row IL. Park (home-season share, regressed): HR 126, 1B 103, 2B 98, 3B 130, K 109, BB 104 — applied at half strength. Age: age 23 vs a level average of 27.2 → +5.0% on BB/HBP/hit rates (4.2 yr younger than average).

Result: wOBA .464 → .413; ISO .267 → .227; BABIP .500 → .461. 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 AAAGwinnett Braves · 307 PAwOBA .309 → .294 (−15)K% 14.3% → 18.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.33%	÷0.940	×1.200	—	—	18.29%
BB% (unintentional) /PA	7.82%	÷1.103	×0.690	—	×1.050	5.13%
HBP% /PA	0.33%	—	×0.940	—	×1.050	0.32%
Singles /BIP	25.64%	÷0.996	×0.930	×1.050	×1.050	26.39%
Doubles /BIP	5.13%	÷0.988	×0.830	×1.050	×1.050	4.75%
Triples /BIP	2.56%	÷0.988	×0.970	×1.050	×1.050	2.78%
Home runs /BIP	0.00%	÷1.014	×0.840	—	×1.050	0.00%

Factors used: league row IL. Park (home-season share, regressed): HR 103, 1B 99, 2B 98, 3B 98, K 88, BB 121 — applied at half strength. Age: age 22 vs a level average of 27.2 → +5.0% on BB/HBP/hit rates (5.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .309 → .294; ISO .086 → .087; BABIP .332 → .338. 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 — .