Alex Dickerson

PosLF

B/TL/L

Born1990-05-26

Age (2027)37

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	32	AAAATL	357	.239/.308/.425	12	1	53	—	.190/.240/.322
2022	32	MLBATL	36	.121/.194/.212	1	0	16	-0.7
2024	34	INTLNaranjeros de…	158	.185/.286/.348	5	0	77	—
2025	35	INTLLeones de Pon…	40	.188/.350/.219	0	0	81	—
2026	36	No MLB games played

Last 3 seasons WAR -0.7

Contract

No contract data on file.

Skills · percentileStatcast 2020-2022

xwOBA77

Barrel%63

Avg EV45

Speed17

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	22	A+	Bradenton Marauders	—	538	485	143	31	3	13	39	93	7	12	7	295	356	452	807	157	339	17	7	355	79	—	—	—	—	—	—
2013	23	AA	Altoona Curve	—	491	451	130	36	3	17	28	89	8	10	7	288	341	494	835	206	325	18	6	364	105	—	—	—	—	—	—
2013	23	INTL	Scottsdale Scorpions	—	75	69	20	4	0	0	5	20	1	1	1	290	347	348	694	58	408	27	7	318	101	—	—	—	—	—	—
2014	24	AA	San Antonio Missions	—	147	137	44	11	2	3	9	28	1	0	1	321	367	496	864	175	387	19	6	381	106	—	—	—	—	—	—
2015	25	AAA	El Paso Chihuahuas	—	519	459	141	36	9	12	45	96	8	4	0	307	379	503	882	196	360	18	9	383	101	—	—	—	—	—	—
2016	26	MLB	San Diego Padres	—	285	253	65	16	2	10	26	44	4	5	1	257	336	455	790	198	274	15	9	348	121	+7	+1	-5	-6	+6	0.4
2016	26	AAA	El Paso Chihuahuas	—	241	217	83	16	3	10	14	27	5	0	0	382	430	622	1.052	240	397	11	6	450	132	—	—	—	—	—	—
2019	29	MLB	San Francisco Giants	—	190	174	48	13	3	6	13	42	2	1	1	276	333	489	822	213	331	22	7	358	131	+7	-0	-2	-4	+4	0.5
2019	29	AAA	Sacramento River Cats	—	137	114	38	5	1	5	17	20	5	0	0	333	441	526	967	193	367	15	12	426	113	—	—	—	—	—	—
2020	30	MLB	San Francisco Giants	—	170	151	45	10	1	10	16	30	2	0	0	298	373	576	949	278	312	18	9	410	166	+13	+0	-4	-2	+4	1.1
2021	31	MLB	San Francisco Giants	—	312	283	66	10	2	13	23	76	6	1	0	233	304	420	725	187	273	24	7	323	109	+3	+0	-5	-4	+7	0.1
2021	31	AAA	Sacramento River Cats	—	45	38	11	3	0	2	5	8	2	0	0	289	400	526	926	237	321	18	11	409	101	—	—	—	—	—	—
2022	32	MLB	Atlanta Braves	—	36	33	4	0	0	1	3	9	0	0	0	121	194	212	407	91	130	25	8	191	16	-4	+0	-0	-4	+1	-0.7
2022	32	AAA	Gwinnett Stripers	—	357	322	77	20	2	12	29	76	3	1	0	239	308	425	733	186	274	21	8	323	53	—	—	—	—	—	—
2024	34	INTL	Naranjeros de Hermosillo	—	158	135	25	5	1	5	14	33	5	0	0	185	286	348	634	163	198	21	9	282	77	—	—	—	—	—	—
2025	35	INTL	Leones de Ponce	—	40	32	6	1	0	0	4	13	4	0	0	188	350	219	569	31	316	32	10	288	81	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	993	894	228	49	8	40	81	201	14	7	2	255	327	462	789	207	286	20	8	347	121	+25	+1	-16	-19	+22	1.2
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2012	22	A+ MLE	Bradenton Marauders	—	538	500	124	30	2	8	24	137	7	12	7	248	292	364	656	116	314	25	4	285	79	—	—	—	—	—	—
2013	23	AA MLE	Altoona Curve	—	491	463	124	33	3	16	16	120	8	10	7	268	304	456	760	188	322	24	3	323	105	—	—	—	—	—	—
2014	24	AA MLE	San Antonio Missions	—	147	141	40	9	2	2	5	36	1	0	1	284	313	418	731	135	375	24	3	325	106	—	—	—	—	—	—
2015	25	AAA MLE	El Paso Chihuahuas	—	519	471	120	30	6	10	33	127	8	4	0	255	314	408	722	153	317	24	6	317	101	—	—	—	—	—	—
2016	26	MLB MLE	San Diego Padres	—	285	255	66	17	2	10	24	44	4	5	1	259	332	459	791	200	274	15	8	347	121	+7	+1	-5	-6	+6	0.4
2016	26	AAA MLE	El Paso Chihuahuas	—	241	226	70	13	2	7	6	37	5	0	0	310	342	478	820	168	334	15	2	364	132	—	—	—	—	—	—
2019	29	MLB MLE	San Francisco Giants	—	190	175	48	13	3	6	12	42	2	1	1	274	328	486	814	211	331	22	6	362	131	+7	-0	-2	-4	+4	0.5
2019	29	AAA MLE	Sacramento River Cats	—	137	120	32	4	1	4	11	27	5	0	0	267	353	417	770	150	303	20	8	335	113	—	—	—	—	—	—
2020	30	MLB MLE	San Francisco Giants	—	170	153	46	10	1	11	14	30	2	0	0	301	367	595	962	294	312	18	8	413	166	+13	+0	-4	-2	+4	1.1
2021	31	MLB MLE	San Francisco Giants	—	312	284	68	10	2	14	22	76	6	1	0	239	308	437	744	197	273	24	7	329	109	+3	+0	-5	-4	+7	0.1
2021	31	AAA MLE	Sacramento River Cats	—	45	40	9	3	0	1	3	9	2	0	0	225	311	375	686	150	270	20	7	318	101	—	—	—	—	—	—
2022	32	MLB MLE	Atlanta Braves	—	36	33	4	0	0	1	3	9	0	0	0	121	194	212	407	91	130	25	8	191	16	-4	+0	-0	-4	+1	-0.7
2022	32	AAA MLE	Gwinnett Stripers	—	357	332	63	16	2	8	19	91	3	1	0	190	240	322	562	133	232	25	5	246	53	—	—	—	—	—	—
2012	22	A+ MLE	Bradenton Marauders	—	538	500	124	30	2	8	24	137	7	12	7	248	292	364	656	116	322	25	4	285	79	—	—	—	—	—	—
2012	22	A+ RAW	Bradenton Marauders	—	538	485	143	31	3	13	39	93	7	12	7	295	356	452	807	157	339	17	7	355	79	—	—	—	—	—	—
2013	23	AA MLE	2 teams	—	566	534	142	38	3	18	19	138	9	11	8	266	302	449	752	184	325	24	3	323	105	—	—	—	—	—	—
2013	23	AA RAW	2 teams	—	566	520	150	40	3	17	33	109	9	11	8	288	342	475	817	187	335	19	6	358	105	—	—	—	—	—	—
2014	24	AA MLE	San Antonio Missions	—	147	141	40	9	2	2	5	36	1	0	1	284	313	418	731	135	369	24	3	325	106	—	—	—	—	—	—
2014	24	AA RAW	San Antonio Missions	—	147	137	44	11	2	3	9	28	1	0	1	321	367	496	864	175	387	19	6	381	106	—	—	—	—	—	—
2015	25	AAA MLE	El Paso Chihuahuas	—	519	471	120	30	6	10	33	127	8	4	0	255	314	408	722	153	323	24	6	317	101	—	—	—	—	—	—
2015	25	AAA RAW	El Paso Chihuahuas	—	519	459	141	36	9	12	45	96	8	4	0	307	379	503	882	196	360	18	9	383	101	—	—	—	—	—	—
2016	26	MLB MLE	2 teams	—	526	481	136	30	4	17	30	81	9	5	1	283	337	468	804	185	306	15	6	355	126	+17	+1	-5	-6	+11	1.8
2016	26	MLB RAW	2 teams	—	526	470	148	32	5	20	40	71	9	5	1	315	379	532	911	217	332	13	8	395	126	+17	+1	-5	-6	+11	1.8
2019	29	MLB MLE	2 teams	—	327	295	81	17	4	10	23	69	7	1	1	275	342	461	803	186	326	21	7	351	123	+9	-0	-2	-4	+7	1.1
2019	29	MLB RAW	2 teams	—	327	288	86	18	4	11	30	62	7	1	1	299	378	503	882	205	346	19	9	387	123	+9	-0	-2	-4	+7	1.1
2020	30	MLB MLE	San Francisco Giants	—	170	153	46	10	1	11	14	30	2	0	0	301	367	595	962	294	310	18	8	413	166	+13	+0	-4	-2	+4	1.1
2020	30	MLB RAW	San Francisco Giants	—	170	151	45	10	1	10	16	30	2	0	0	298	373	576	949	278	312	18	9	410	166	+13	+0	-4	-2	+4	1.1
2021	31	MLB MLE	2 teams	—	357	324	77	13	2	15	25	85	8	1	0	238	308	429	737	191	277	24	7	328	108	+3	+0	-5	-4	+8	0.2
2021	31	MLB RAW	2 teams	—	357	321	77	13	2	15	28	84	8	1	0	240	317	433	750	193	279	24	8	334	108	+3	+0	-5	-4	+8	0.2
2022	32	AAA MLE	2 teams	—	393	365	67	16	2	9	22	100	3	1	0	184	236	312	548	129	224	25	6	241	49	—	—	—	—	—	—
2022	32	AAA RAW	2 teams	—	393	355	81	20	2	13	32	85	3	1	0	228	297	406	703	177	262	22	8	311	49	—	—	—	—	—	—
2024	34	INTL MLE	Naranjeros de Hermosillo	—	158	135	25	5	1	5	14	33	5	0	0	185	286	348	634	163	198	21	9	—	—	—	—	—	—	—	—
2024	34	INTL RAW	Naranjeros de Hermosillo	—	158	135	25	5	1	5	14	33	5	0	0	185	286	348	634	163	198	21	9	282	77	—	—	—	—	—	—
2025	35	INTL MLE	Leones de Ponce	—	40	32	6	1	0	0	4	13	4	0	0	188	350	219	569	31	316	32	10	—	—	—	—	—	—	—	—
2025	35	INTL RAW	Leones de Ponce	—	40	32	6	1	0	0	4	13	4	0	0	188	350	219	569	31	316	32	10	288	81	—	—	—	—	—	—
2012	22	A+ MLE	Bradenton Marauders	—	538	502	124	30	2	8	24	137	7	12	7	247	292	363	654	116	314	25	4	285	79	—	—	—	—	—	—
2013	23	AA MLE	2 teams	—	566	533	142	38	3	18	19	138	9	11	8	266	302	450	753	184	322	24	3	323	105	—	—	—	—	—	—
2014	24	AA MLE	San Antonio Missions	—	147	140	40	9	2	2	5	36	1	0	1	286	313	421	734	136	375	24	3	325	106	—	—	—	—	—	—
2015	25	AAA MLE	El Paso Chihuahuas	—	519	473	120	30	6	10	33	127	8	4	0	254	314	406	720	152	317	24	6	317	101	—	—	—	—	—	—
2016	26	MLB MLE	2 teams	—	526	482	136	30	4	17	30	81	9	5	1	282	337	467	803	185	301	15	6	355	126	—	—	—	—	—	—
2019	29	MLB MLE	2 teams	—	327	294	81	17	4	10	23	69	7	1	1	276	342	463	804	187	319	21	7	351	123	—	—	—	—	—	—
2020	30	MLB MLE	San Francisco Giants	—	170	152	46	10	1	11	14	30	2	0	0	303	367	599	966	296	312	18	8	413	166	—	—	—	—	—	—
2021	31	MLB MLE	2 teams	—	357	321	77	13	2	15	25	85	8	1	0	240	308	433	741	193	273	24	7	328	108	—	—	—	—	—	—
2022	32	AAA MLE	2 teams	—	393	365	67	16	2	9	22	100	3	1	0	184	236	312	548	129	223	25	6	241	49	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	993	894	228	49	8	40	81	201	14	7	2	255	327	462	789	207	286	20	8	347	91	+25	+1	-16	-19	+22	1.2
/ 162G	—	A+C		—	650	585	149	32	5	26	53	132	9	5	1	255	326	460	786	205	286	20	8	347	91	+16	+0	-11	-12	+14	0.8
Career	—	MLE		—	3741	3431	864	199	27	105	213	849	63	35	18	252	308	417	725	166	303	23	6	303	91	+25	+1	-16	-19	+22	1.2
/ 162G	—	MLE		—	650	596	151	35	5	18	37	148	11	6	3	253	309	419	728	166	306	23	6	303	91	+16	+0	-11	-12	+14	0.8

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 AAAGwinnett Stripers · 357 PAwOBA .317 → .246 (−70)K% 21.3% → 25.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.29%	÷1.002	×1.200	—	—	25.50%
BB% (unintentional) /PA	8.12%	÷0.998	×0.690	—	×0.952	5.35%
HBP% /PA	0.84%	—	×0.940	—	×0.952	0.75%
Singles /BIP	17.48%	÷1.018	×0.930	×1.009	×0.952	15.35%
Doubles /BIP	8.13%	÷0.966	×0.830	×1.009	×0.952	6.71%
Triples /BIP	0.81%	÷1.150	×0.970	×1.009	×0.952	0.66%
Home runs /BIP	4.88%	÷0.981	×0.700	—	×0.952	3.31%

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 ×1.009.

Result: wOBA .317 → .246; ISO .186 → .136; BABIP .274 → .232. 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 AAASacramento River Cats · 45 PAwOBA .398 → .318 (−80)K% 17.8% → 20.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.78%	÷1.034	×1.200	—	—	20.63%
BB% (unintentional) /PA	11.11%	÷0.956	×0.690	—	×0.962	7.72%
HBP% /PA	4.44%	—	×0.940	—	×0.962	4.02%
Singles /BIP	20.00%	÷1.049	×0.930	—	×0.962	17.05%
Doubles /BIP	10.00%	÷0.916	×0.830	—	×0.962	8.72%
Triples /BIP	0.00%	÷0.900	×0.920	—	×0.962	0.00%
Home runs /BIP	6.67%	÷0.995	×0.700	—	×0.962	4.51%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 99, 1B 110, 2B 83, 3B 80, K 107, BB 91 — 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).

Result: wOBA .398 → .318; ISO .237 → .178; BABIP .321 → .270. 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 AAASacramento River Cats · 137 PAwOBA .414 → .335 (−79)K% 14.6% → 19.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.60%	÷0.971	×1.290	—	—	19.39%
BB% (unintentional) /PA	10.95%	÷0.980	×0.710	—	×0.982	7.79%
HBP% /PA	3.65%	—	×0.980	—	×0.982	3.51%
Singles /BIP	28.72%	÷0.982	×0.900	×0.950	×0.982	24.55%
Doubles /BIP	5.32%	÷0.981	×0.810	×0.950	×0.982	4.10%
Triples /BIP	1.06%	÷1.008	×0.810	×0.950	×0.982	0.80%
Home runs /BIP	5.32%	÷1.027	×0.780	—	×0.982	3.97%

Factors used: league row PCL. Park (home-season share, regressed): HR 105, 1B 96, 2B 96, 3B 102, K 94, BB 96 — 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 ×0.950.

Result: wOBA .414 → .335; ISO .193 → .147; BABIP .367 → .303. 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 · 241 PAwOBA .439 → .364 (−74)K% 11.2% → 15.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	11.20%	÷0.951	×1.290	—	—	15.20%
BB% (unintentional) /PA	3.32%	÷1.004	×0.710	—	×1.018	2.39%
HBP% /PA	2.07%	—	×0.980	—	×1.018	2.07%
Singles /BIP	28.42%	÷1.026	×0.900	×0.977	×1.018	24.80%
Doubles /BIP	8.42%	÷0.987	×0.810	×0.977	×1.018	6.88%
Triples /BIP	1.58%	÷1.028	×0.810	×0.977	×1.018	1.24%
Home runs /BIP	5.26%	÷1.160	×0.780	—	×1.018	3.60%

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 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 ×0.977.

Result: wOBA .439 → .364; ISO .240 → .180; BABIP .397 → .334. 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 AAAEl Paso Chihuahuas · 519 PAwOBA .377 → .317 (−61)K% 18.5% → 24.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.50%	÷0.980	×1.290	—	—	24.36%
BB% (unintentional) /PA	8.29%	÷0.972	×0.710	—	×1.033	6.25%
HBP% /PA	1.54%	—	×0.980	—	×1.033	1.56%
Singles /BIP	23.14%	÷1.017	×0.900	×0.998	×1.033	21.11%
Doubles /BIP	9.92%	÷0.970	×0.810	×0.998	×1.033	8.54%
Triples /BIP	2.48%	÷1.150	×0.810	×0.998	×1.033	1.80%
Home runs /BIP	3.31%	÷0.919	×0.780	—	×1.033	2.90%

Factors used: league row PCL. Park (home-season share, regressed): HR 84, 1B 103, 2B 94, 3B 130, K 96, BB 94 — 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 ×0.998.

Result: wOBA .377 → .317; ISO .196 → .160; BABIP .360 → .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).

2014 AASan Antonio Missions · 147 PAwOBA .368 → .325 (−43)K% 19.0% → 24.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.05%	÷0.942	×1.220	—	—	24.68%
BB% (unintentional) /PA	5.44%	÷1.083	×0.700	—	×1.012	3.56%
HBP% /PA	0.68%	—	×0.870	—	×1.012	0.60%
Singles /BIP	25.69%	÷0.948	×0.920	×1.039	×1.012	26.21%
Doubles /BIP	10.09%	÷1.020	×0.840	×1.039	×1.012	8.74%
Triples /BIP	1.83%	÷1.065	×0.940	×1.039	×1.012	1.70%
Home runs /BIP	2.75%	÷0.960	×0.800	—	×1.012	2.32%

Factors used: league row TL. Park (home-season share, regressed): HR 92, 1B 90, 2B 104, 3B 113, K 88, BB 117 — 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 ×1.039.

Result: wOBA .368 → .325; ISO .175 → .146; BABIP .387 → .375. 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 AAAltoona Curve · 491 PAwOBA .353 → .323 (−30)K% 18.1% → 24.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.13%	÷0.905	×1.220	—	—	24.43%
BB% (unintentional) /PA	4.89%	÷1.073	×0.700	—	×1.027	3.27%
HBP% /PA	1.63%	—	×0.850	—	×1.027	1.42%
Singles /BIP	20.44%	÷0.997	×0.970	×1.011	×1.027	20.65%
Doubles /BIP	9.94%	÷0.933	×0.860	×1.011	×1.027	9.52%
Triples /BIP	0.83%	÷1.006	×0.950	×1.011	×1.027	0.81%
Home runs /BIP	4.70%	÷0.836	×0.780	—	×1.027	4.50%

Factors used: league row EL. Park (home-season share, regressed): HR 67, 1B 99, 2B 87, 3B 101, K 81, BB 115 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.011.

Result: wOBA .353 → .323; ISO .206 → .190; BABIP .325 → .322. 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 A+Bradenton Marauders · 538 PAwOBA .347 → .285 (−62)K% 17.3% → 25.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.29%	÷0.962	×1.420	—	—	25.50%
BB% (unintentional) /PA	6.69%	÷1.167	×0.750	—	×1.012	4.35%
HBP% /PA	1.30%	—	×0.930	—	×1.012	1.22%
Singles /BIP	24.49%	÷1.022	×0.920	×1.011	×1.012	22.55%
Doubles /BIP	7.91%	÷0.969	×0.960	×1.011	×1.012	8.02%
Triples /BIP	0.77%	÷1.074	×0.810	×1.011	×1.012	0.59%
Home runs /BIP	3.32%	÷1.385	×0.880	—	×1.012	2.13%

Factors used: league row FSL. Park (home-season share, regressed): HR 177, 1B 104, 2B 94, 3B 115, K 92, BB 133 — applied at half strength. Age: age 22 vs a level average of 22.8 → +1.2% on BB/HBP/hit rates (0.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.011.

Result: wOBA .347 → .285; ISO .157 → .119; BABIP .339 → .314. 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 — .