Aledmys Díaz

PosSS

B/TR/R

Born1990-08-01

Age (2027)36

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
2023	32	MLBOakland Athle…	344	.229/.283/.337	4	1	71	-0.2
2024	33	AAA/ROK2 orgs	48	.220/.319/.341	1	0	38	—	.184/.256/.302
2024	33	MLBHOU	34	.091/.118/.091	0	0	-46	-0.5
2025	34	INTLCriollos de C…	49	.136/.224/.159	0	1	15	—
2026	35	No MLB games played

Last 3 seasons WAR -0.7

Contract

No contract data on file.

Skills · percentileStatcast 2022-2024

Speed52

xwOBA32

Bat Spd27

Avg EV25

Barrel%20

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)
2014	23	AA	Springfield Cardinals	—	125	117	34	8	1	3	2	24	2	6	2	291	314	453	767	162	341	19	2	327	78	—	—	—	—	—	—
2014	23	A+	Palm Beach Cardinals	—	54	44	10	2	0	2	7	10	2	1	0	227	358	409	768	182	242	19	13	343	88	—	—	—	—	—	—
2015	24	AAA	Memphis Redbirds	—	58	50	19	3	0	3	6	5	1	0	1	380	456	620	1.076	240	372	9	10	462	146	—	—	—	—	—	—
2015	24	AA	Springfield Cardinals	—	409	375	99	25	2	10	29	62	4	6	5	264	324	421	745	157	294	15	7	331	68	—	—	—	—	—	—
2015	24	INTL	Surprise Saguaros	—	82	73	23	8	1	4	7	12	0	2	1	315	375	616	991	301	328	15	9	416	168	—	—	—	—	—	—
2016	25	MLB	St. Louis Cardinals	—	460	404	121	28	3	17	41	60	7	4	4	300	374	510	884	210	312	13	9	383	141	+23	-1	-5	+5	+10	3.3
2017	26	MLB	St. Louis Cardinals	—	301	286	74	17	0	7	13	42	0	4	1	259	291	392	683	133	282	14	4	301	89	-4	+0	+1	+5	+7	1.0
2017	26	AAA	Memphis Redbirds	—	187	170	43	9	1	4	10	30	4	3	3	253	310	388	698	135	281	16	5	308	52	—	—	—	—	—	—
2018	27	MLB	Toronto Blue Jays	—	452	422	111	26	0	18	23	62	3	3	4	263	306	453	758	190	269	14	5	331	108	+4	-1	+0	+5	+10	1.9
2019	28	MLB	Houston Astros	—	247	210	57	12	1	9	26	28	5	2	0	271	365	467	832	195	268	11	11	361	127	+8	+0	+0	-5	+5	0.9
2019	28	AAA	Round Rock Express	—	17	16	2	0	0	0	1	3	0	0	0	125	176	125	301		154	18	6	148	-33	—	—	—	—	—	—
2020	29	MLB	Houston Astros	—	59	58	14	5	0	3	1	12	0	0	0	241	254	483	737	241	256	20	2	318	99	-0	+0	-1	+0	+1	-0.0
2021	30	MLB	Houston Astros	—	319	294	76	19	0	8	16	62	9	0	1	259	317	405	721	146	304	19	5	323	98	-1	-0	+6	+1	+7	1.4
2021	30	AA	Corpus Christi Hooks	—	17	13	2	0	0	0	4	3	0	0	0	154	353	154	507		200	18	24	271	24	—	—	—	—	—	—
2022	31	MLB	Houston Astros	—	327	305	74	13	0	12	18	53	2	1	1	243	289	403	693	161	256	16	6	306	92	-3	-0	+2	-4	+7	0.2
2023	32	MLB	Oakland Athletics	—	344	315	72	20	1	4	17	66	7	1	0	229	283	337	620	108	273	19	5	277	71	-12	+0	-1	+4	+7	-0.2
2024	33	MLB	Houston Astros	—	34	33	3	0	0	0	1	9	0	0	0	91	118	91	209		125	26	3	100	-46	-6	+0	-1	+1	+1	-0.5
2024	33	AAA	Las Vegas Aviators	—	32	26	4	1	0	1	6	5	0	0	0	154	312	308	620	154	150	16	19	293	30	—	—	—	—	—	—
2024	33	ROK	FCL Astros	—	16	15	5	1	0	0	0	1	0	0	0	333	333	400	733	67	333	6	0	306	55	—	—	—	—	—	—
2025	34	INTL	Criollos de Caguas	—	49	44	6	1	0	0	5	6	0	1	0	136	224	159	384	23	158	12	10	190	15	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	2543	2327	602	140	5	78	156	394	33	15	11	259	314	424	738	165	279	15	6	325	106	+18	-1	+2	+13	+55	8.8
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2014	23	AA MLE	Springfield Cardinals	—	125	118	31	7	1	2	1	30	2	6	2	263	281	390	671	127	323	24	1	283	78	—	—	—	—	—	—
2014	23	A+ MLE	Palm Beach Cardinals	—	54	46	9	2	0	2	5	14	2	1	0	196	302	370	671	174	216	26	9	299	88	—	—	—	—	—	—
2015	24	AAA MLE	Memphis Redbirds	—	58	52	17	3	0	2	4	7	1	0	1	327	386	500	886	173	327	12	7	384	146	—	—	—	—	—	—
2015	24	AA MLE	Springfield Cardinals	—	409	384	87	21	2	7	20	77	4	6	5	227	272	346	618	120	266	19	5	268	68	—	—	—	—	—	—
2016	25	MLB MLE	St. Louis Cardinals	—	460	410	121	27	3	18	35	60	7	4	4	295	361	507	868	212	312	13	8	377	141	+23	-1	-5	+5	+10	3.3
2017	26	MLB MLE	St. Louis Cardinals	—	301	287	74	16	0	8	12	42	0	4	1	258	288	397	685	139	282	14	4	300	89	-4	+0	+1	+5	+7	1.0
2017	26	AAA MLE	Memphis Redbirds	—	187	173	36	7	1	3	7	38	4	3	3	208	255	312	568	104	232	20	4	245	52	—	—	—	—	—	—
2018	27	MLB MLE	Toronto Blue Jays	—	452	424	111	26	0	18	21	62	3	3	4	262	301	450	752	189	269	14	5	328	108	+4	-1	+0	+5	+10	1.9
2019	28	MLB MLE	Houston Astros	—	247	211	56	11	1	9	25	28	5	2	0	265	357	455	812	190	268	11	10	356	127	+8	+0	+0	-5	+5	0.9
2019	28	AAA MLE	Round Rock Express	—	17	16	2	0	0	0	1	4	0	0	0	125	176	125	301		141	24	6	119	-33	—	—	—	—	—	—
2020	29	MLB MLE	Houston Astros	—	59	58	14	5	0	3	1	12	0	0	0	241	254	483	737	241	256	20	2	315	99	-0	+0	-1	+0	+1	-0.0
2021	30	MLB MLE	Houston Astros	—	319	297	75	18	0	8	13	62	9	0	1	253	304	394	698	141	304	19	4	313	98	-1	-0	+6	+1	+7	1.4
2021	30	AA MLE	Corpus Christi Hooks	—	17	14	2	0	0	0	3	4	0	0	0	143	294	143	437		176	24	18	203	24	—	—	—	—	—	—
2022	31	MLB MLE	Houston Astros	—	327	305	73	12	0	12	18	53	2	1	1	239	286	397	683	157	256	16	6	305	92	-3	-0	+2	-4	+7	0.2
2023	32	MLB MLE	Oakland Athletics	—	344	317	71	19	1	4	15	66	7	1	0	224	274	328	602	104	273	19	4	273	71	-12	+0	-1	+4	+7	-0.2
2024	33	MLB MLE	Houston Astros	—	34	33	3	0	0	0	1	9	0	0	0	91	118	91	209		125	26	3	100	-46	-6	+0	-1	+1	+1	-0.5
2024	33	AAA MLE	Las Vegas Aviators	—	32	28	4	1	0	1	4	6	0	0	0	143	250	286	536	143	123	19	12	212	30	—	—	—	—	—	—
2024	33	ROK MLE	FCL Astros	—	16	15	4	1	0	0	0	1	0	0	0	267	267	333	600	67	255	6	0	250	55	—	—	—	—	—	—
2014	23	AA MLE	2 teams	—	179	163	40	9	1	4	7	44	4	7	2	245	293	387	680	141	308	25	4	288	81	—	—	—	—	—	—
2014	23	AA RAW	2 teams	—	179	161	44	10	1	5	9	34	4	7	2	273	328	441	769	168	315	19	5	332	81	—	—	—	—	—	—
2015	24	AA MLE	3 teams	—	549	512	123	28	2	11	28	99	5	8	7	240	286	367	653	127	277	18	5	282	77	—	—	—	—	—	—
2015	24	AA RAW	3 teams	—	549	498	141	36	3	17	42	79	5	8	7	283	345	470	815	187	307	14	8	358	77	—	—	—	—	—	—
2016	25	MLB MLE	St. Louis Cardinals	—	460	410	121	27	3	18	35	60	7	4	4	295	361	507	868	212	305	13	8	377	141	+23	-1	-5	+5	+10	3.3
2016	25	MLB RAW	St. Louis Cardinals	—	460	404	121	28	3	17	41	60	7	4	4	300	374	510	884	210	312	13	9	383	141	+23	-1	-5	+5	+10	3.3
2017	26	MLB MLE	2 teams	—	488	460	110	23	1	11	19	80	4	7	4	239	275	365	641	126	265	16	4	279	75	-14	-0	+1	+5	+11	0.2
2017	26	MLB RAW	2 teams	—	488	456	117	26	1	11	23	72	4	7	4	257	298	390	688	134	281	15	5	304	75	-14	-0	+1	+5	+11	0.2
2018	27	MLB MLE	Toronto Blue Jays	—	452	424	111	26	0	18	21	62	3	3	4	262	301	450	752	189	267	14	5	328	108	+4	-1	+0	+5	+10	1.9
2018	27	MLB RAW	Toronto Blue Jays	—	452	422	111	26	0	18	23	62	3	3	4	263	306	453	758	190	269	14	5	331	108	+4	-1	+0	+5	+10	1.9
2019	28	MLB MLE	2 teams	—	264	227	58	11	1	9	26	32	5	2	0	256	345	432	777	176	255	12	10	341	117	+5	+0	+0	-5	+6	0.7
2019	28	MLB RAW	2 teams	—	264	226	59	12	1	9	27	31	5	2	0	261	353	442	795	181	260	12	10	348	117	+5	+0	+0	-5	+6	0.7
2020	29	MLB MLE	Houston Astros	—	59	58	14	5	0	3	1	12	0	0	0	241	254	483	737	241	256	20	2	315	99	-0	+0	-1	+0	+1	-0.0
2020	29	MLB RAW	Houston Astros	—	59	58	14	5	0	3	1	12	0	0	0	241	254	483	737	241	256	20	2	318	99	-0	+0	-1	+0	+1	-0.0
2021	30	MLB MLE	2 teams	—	336	311	77	18	0	8	16	66	9	0	1	248	304	383	686	135	291	20	5	308	94	-2	-0	+6	+1	+7	1.2
2021	30	MLB RAW	2 teams	—	336	307	78	19	0	8	20	65	9	0	1	254	318	394	713	140	299	19	6	321	94	-2	-0	+6	+1	+7	1.2
2022	31	MLB MLE	Houston Astros	—	327	305	73	12	0	12	18	53	2	1	1	239	286	397	683	157	252	16	6	305	92	-3	-0	+2	-4	+7	0.2
2022	31	MLB RAW	Houston Astros	—	327	305	74	13	0	12	18	53	2	1	1	243	289	403	693	161	256	16	6	306	92	-3	-0	+2	-4	+7	0.2
2023	32	MLB MLE	Oakland Athletics	—	344	317	71	19	1	4	15	66	7	1	0	224	274	328	602	104	267	19	4	273	71	-12	+0	-1	+4	+7	-0.2
2023	32	MLB RAW	Oakland Athletics	—	344	315	72	20	1	4	17	66	7	1	0	229	283	337	620	108	273	19	5	277	71	-12	+0	-1	+4	+7	-0.2
2024	33	MLB MLE	3 teams	—	82	76	10	1	0	1	5	16	0	0	0	132	185	184	369	53	150	20	6	173	3	-9	+0	-1	+1	+2	-0.8
2024	33	MLB RAW	3 teams	—	82	74	12	2	0	1	7	15	0	0	0	162	235	230	464	68	186	18	9	216	3	-9	+0	-1	+1	+2	-0.8
2025	34	INTL MLE	Criollos de Caguas	—	49	44	6	1	0	0	5	6	0	1	0	136	224	159	384	23	158	12	10	—	—	—	—	—	—	—	—
2025	34	INTL RAW	Criollos de Caguas	—	49	44	6	1	0	0	5	6	0	1	0	136	224	159	384	23	158	12	10	190	15	—	—	—	—	—	—
2014	23	AA MLE	2 teams	—	179	166	40	9	1	4	7	44	4	7	2	241	293	380	673	139	291	25	4	288	81	—	—	—	—	—	—
2015	24	AA MLE	3 teams	—	549	511	123	28	2	11	28	99	5	8	7	241	286	368	654	127	274	18	5	282	77	—	—	—	—	—	—
2016	25	MLB MLE	St. Louis Cardinals	—	460	415	121	27	3	18	35	60	7	4	4	292	361	501	862	210	312	13	8	377	141	—	—	—	—	—	—
2017	26	MLB MLE	2 teams	—	488	462	110	23	1	11	19	80	4	7	4	238	275	364	639	126	263	16	4	279	75	—	—	—	—	—	—
2018	27	MLB MLE	Toronto Blue Jays	—	452	425	111	26	0	18	21	62	3	3	4	261	301	449	751	188	269	14	5	328	108	—	—	—	—	—	—
2019	28	MLB MLE	2 teams	—	264	231	58	11	1	9	26	32	5	2	0	251	345	424	769	173	260	12	10	341	117	—	—	—	—	—	—
2020	29	MLB MLE	Houston Astros	—	59	58	14	5	0	3	1	12	0	0	0	241	254	483	737	241	256	20	2	315	99	—	—	—	—	—	—
2021	30	MLB MLE	2 teams	—	336	308	77	18	0	8	16	66	9	0	1	250	304	386	690	136	297	20	5	308	94	—	—	—	—	—	—
2022	31	MLB MLE	Houston Astros	—	327	304	73	12	0	12	18	53	2	1	1	240	286	398	684	158	256	16	6	305	92	—	—	—	—	—	—
2023	32	MLB MLE	Oakland Athletics	—	344	319	71	19	1	4	15	66	7	1	0	223	274	326	600	103	273	19	4	273	71	—	—	—	—	—	—
2024	33	MLB MLE	3 teams	—	82	77	10	1	0	1	5	16	0	0	0	130	185	182	367	52	150	20	6	173	3	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	33	MLB MLE	3 teams	—	82	77	10	1	0	1	5	16	0	0	0	130	185	182	367	52	150	20	6	173	3	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2543	2327	602	140	5	78	156	394	33	15	11	259	314	424	738	165	279	15	6	325	91	+18	-1	+2	+13	+55	8.8
/ 162G	—	A+C		—	650	595	154	36	1	20	40	101	8	4	3	259	314	424	738	165	279	16	6	325	91	+5	-0	+0	+3	+14	2.3
Career	—	MLE		—	3589	3307	814	180	9	99	196	596	46	34	23	246	298	396	693	150	271	17	5	302	91	+18	-1	+2	+13	+55	8.8
/ 162G	—	MLE		—	650	599	148	33	2	18	35	108	8	6	4	247	298	399	697	152	271	17	5	302	91	+5	-0	+0	+3	+14	2.3

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.

2024 AAALas Vegas Aviators · 32 PAwOBA .286 → .212 (−73)K% 15.6% → 18.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.62%	÷1.022	×1.200	—	—	18.35%
BB% (unintentional) /PA	18.75%	÷0.952	×0.690	—	×0.940	12.77%
HBP% /PA	0.00%	—	×0.940	—	×0.940	0.00%
Singles /BIP	9.52%	÷0.974	×0.930	—	×0.940	8.55%
Doubles /BIP	4.76%	÷1.088	×0.830	—	×0.940	3.41%
Triples /BIP	0.00%	÷1.150	×0.970	—	×0.940	0.00%
Home runs /BIP	4.76%	÷1.001	×0.700	—	×0.940	3.13%

Factors used: league row International League. Park (home-season share, regressed): HR 100, 1B 95, 2B 118, 3B 130, K 104, BB 90 — applied at half strength. Age: age 34 vs a level average of 27.2 → −6.0% on BB/HBP/hit rates (6.8 yr older than average).

Result: wOBA .286 → .212; ISO .154 → .109; BABIP .150 → .123. 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).

2024 ROKFCL Astros · 16 PAwOBA .318 → .250 (−68)K% 6.2% → 8.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	6.25%	÷1.006	×1.440	—	—	8.95%
BB% (unintentional) /PA	0.00%	÷1.033	×0.620	—	×0.940	0.00%
HBP% /PA	0.00%	—	×0.720	—	×0.940	0.00%
Singles /BIP	28.57%	÷0.984	×0.820	—	×0.940	22.39%
Doubles /BIP	7.14%	÷1.000	×0.720	—	×0.940	4.84%
Triples /BIP	0.00%	÷0.936	×0.720	—	×0.940	0.00%
Home runs /BIP	0.00%	÷1.111	×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): HR 122, 1B 97, 2B 100, 3B 87, K 101, BB 107 — applied at half strength. Age: age 34 vs a level average of 19.5 → −6.0% on BB/HBP/hit rates (14.5 yr older than average).

Result: wOBA .318 → .250; ISO .067 → .047; BABIP .333 → .255. 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 AACorpus Christi Hooks · 17 PAwOBA .266 → .203 (−63)K% 17.6% → 22.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.65%	÷0.959	×1.220	—	—	22.45%
BB% (unintentional) /PA	23.53%	÷0.990	×0.690	—	×0.940	15.42%
HBP% /PA	0.00%	—	×0.850	—	×0.940	0.00%
Singles /BIP	20.00%	÷1.002	×0.940	—	×0.940	17.64%
Doubles /BIP	0.00%	÷0.987	×0.870	—	×0.940	0.00%
Triples /BIP	0.00%	÷1.150	×0.920	—	×0.940	0.00%
Home runs /BIP	0.00%	÷1.074	×0.780	—	×0.940	0.00%

Factors used: level-wide AA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 115, 1B 100, 2B 97, 3B 130, K 92, BB 98 — applied at half strength. Age: age 31 vs a level average of 24.8 → −6.0% on BB/HBP/hit rates (6.2 yr older than average).

Result: wOBA .266 → .203; ISO .000 → .000; BABIP .200 → .176. 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 AAARound Rock Express · 17 PAwOBA .144 → .119 (−25)K% 17.6% → 22.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.65%	÷1.022	×1.290	—	—	22.28%
BB% (unintentional) /PA	5.88%	÷1.030	×0.710	—	×0.982	3.98%
HBP% /PA	0.00%	—	×0.980	—	×0.982	0.00%
Singles /BIP	15.38%	÷0.966	×0.900	—	×0.982	14.08%
Doubles /BIP	0.00%	÷0.995	×0.810	—	×0.982	0.00%
Triples /BIP	0.00%	÷1.126	×0.810	—	×0.982	0.00%
Home runs /BIP	0.00%	÷0.948	×0.780	—	×0.982	0.00%

Factors used: league row PCL. Park (home-season share, regressed): HR 90, 1B 93, 2B 99, 3B 125, 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).

Result: wOBA .144 → .119; ISO .000 → .000; BABIP .154 → .141. 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 AAAMemphis Redbirds · 187 PAwOBA .305 → .245 (−60)K% 16.0% → 20.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.04%	÷1.010	×1.290	—	—	20.50%
BB% (unintentional) /PA	5.35%	÷0.997	×0.710	—	×1.003	3.82%
HBP% /PA	2.14%	—	×0.980	—	×1.003	2.10%
Singles /BIP	20.71%	÷1.001	×0.900	×0.955	×1.003	17.84%
Doubles /BIP	6.43%	÷1.021	×0.810	×0.955	×1.003	4.88%
Triples /BIP	0.71%	÷1.135	×0.810	×0.955	×1.003	0.49%
Home runs /BIP	2.86%	÷0.980	×0.780	—	×1.003	2.28%

Factors used: league row PCL. Park (home-season share, regressed): HR 96, 1B 100, 2B 104, 3B 127, K 102, BB 99 — 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 ×0.955.

Result: wOBA .305 → .245; ISO .135 → .103; BABIP .281 → .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).

2015 AASpringfield Cardinals · 409 PAwOBA .322 → .268 (−54)K% 15.2% → 18.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.16%	÷0.978	×1.220	—	—	18.92%
BB% (unintentional) /PA	7.09%	÷1.000	×0.700	—	×0.998	4.95%
HBP% /PA	0.98%	—	×0.870	—	×0.998	0.85%
Singles /BIP	19.81%	÷0.982	×0.920	×1.007	×0.998	18.65%
Doubles /BIP	7.99%	÷1.003	×0.840	×1.007	×0.998	6.72%
Triples /BIP	0.64%	÷1.003	×0.940	×1.007	×0.998	0.60%
Home runs /BIP	3.19%	÷1.140	×0.800	—	×0.998	2.24%

Factors used: league row TL. Park (home-season share, regressed): HR 128, 1B 96, 2B 101, 3B 101, K 96, BB 100 — 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 ×1.007.

Result: wOBA .322 → .268; ISO .157 → .120; BABIP .294 → .266. 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 AAAMemphis Redbirds · 58 PAwOBA .453 → .384 (−69)K% 8.6% → 11.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	8.62%	÷0.967	×1.290	—	—	11.50%
BB% (unintentional) /PA	8.62%	÷1.013	×0.710	—	×1.033	6.24%
HBP% /PA	1.72%	—	×0.980	—	×1.033	1.75%
Singles /BIP	28.89%	÷1.030	×0.900	—	×1.033	26.07%
Doubles /BIP	6.67%	÷0.946	×0.810	—	×1.033	5.90%
Triples /BIP	0.00%	÷0.900	×0.810	—	×1.033	0.00%
Home runs /BIP	6.67%	÷1.224	×0.780	—	×1.033	4.39%

Factors used: league row PCL. Park (home-season share, regressed): HR 145, 1B 106, 2B 89, 3B 80, K 93, BB 103 — 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).

Result: wOBA .453 → .384; ISO .240 → .178; BABIP .372 → .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).

2014 AASpringfield Cardinals · 125 PAwOBA .320 → .283 (−37)K% 19.2% → 24.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.20%	÷0.972	×1.220	—	—	24.10%
BB% (unintentional) /PA	1.60%	÷1.033	×0.700	—	×1.012	1.10%
HBP% /PA	1.60%	—	×0.870	—	×1.012	1.41%
Singles /BIP	23.66%	÷0.974	×0.920	×1.026	×1.012	23.21%
Doubles /BIP	8.60%	÷0.982	×0.840	×1.026	×1.012	7.64%
Triples /BIP	1.08%	÷0.991	×0.940	×1.026	×1.012	1.06%
Home runs /BIP	3.23%	÷1.221	×0.800	—	×1.012	2.14%

Factors used: league row TL. Park (home-season share, regressed): HR 144, 1B 95, 2B 96, 3B 98, K 94, BB 107 — 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 ×1.026.

Result: wOBA .320 → .283; ISO .162 → .127; BABIP .341 → .323. 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 — .