Adeiny Hechavarría

PosSS

B/TR/R

Born1989-04-15

Age (2027)38

No MLB projection yet. Career stats below are historical.

Overview

INTLLAST SEASON 2024

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2022	33	INTLGigantes de C…	69	.322/.420/.458	2	0	154	—
2023	34	AAA/INTL2 orgs	286	.240/.305/.357	6	3	58	—	.167/.214/.303
2024	35	INTLGigantes de C…	92	.115/.163/.126	0	0	-19	—

Contract

No contract data on file.

Skills · percentileStatcast 2018-2020

Speed32

xwOBA24

Avg EV21

Barrel%13

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	AA	New Hampshire Fisher Cats	—	273	253	69	11	1	3	12	40	2	6	3	273	311	360	671	87	307	15	4	296	74	—	—	—	—	—	—
2010	21	A+	Dunedin Blue Jays	—	167	161	31	7	3	1	5	25	0	7	0	193	217	292	509	99	222	15	3	225	18	—	—	—	—	—	—
2011	22	AAA	Las Vegas 51s	—	116	108	42	6	2	2	8	21	0	1	2	389	431	537	968	148	471	18	7	428	124	—	—	—	—	—	—
2011	22	AA	New Hampshire Fisher Cats	—	502	464	109	22	6	6	25	78	3	19	13	235	278	347	625	112	267	16	5	275	61	—	—	—	—	—	—
2011	22	INTL	Phoenix Desert Dogs	—	78	72	18	3	4	1	6	17	0	1	1	250	308	444	752	194	315	22	8	329	109	—	—	—	—	—	—
2012	23	MLB	Toronto Blue Jays	—	137	126	32	8	0	2	4	32	1	0	0	254	282	365	648	111	323	23	3	276	73	-4	+0	-1	+2	+3	-0.0
2012	23	AAA	Las Vegas 51s	—	490	443	138	20	6	6	38	86	1	8	2	312	367	424	792	113	371	18	8	349	93	—	—	—	—	—	—
2013	24	MLB	Miami Marlins	—	578	543	123	14	8	3	30	96	0	11	10	227	267	298	565	72	270	17	5	254	62	-26	-2	+5	+6	+13	-0.4
2014	25	MLB	Miami Marlins	—	574	536	148	20	10	1	26	86	1	7	5	276	310	356	667	80	323	15	5	294	87	-9	-1	-1	+6	+12	0.8
2015	26	MLB	Miami Marlins	—	499	470	132	17	6	5	23	78	2	7	2	281	317	374	692	94	325	16	5	308	97	-2	+1	+16	+5	+11	3.2
2016	27	MLB	Miami Marlins	—	547	508	120	17	6	3	33	73	1	1	0	236	284	311	595	75	269	13	6	268	67	-22	+0	+13	+6	+12	0.9
2017	28	MLB	Tampa Bay Rays	—	348	330	86	14	5	8	13	67	1	4	1	261	291	406	697	145	304	19	4	304	90	-4	+0	+7	+4	+8	1.5
2017	28	A+	Jupiter Hammerheads	—	27	23	7	0	0	0	3	1	1	1	1	304	407	304	712		318	4	11	339	72	—	—	—	—	—	—
2018	29	MLB	New York Yankees	—	321	296	73	11	0	6	16	58	0	2	0	247	285	345	630	98	280	18	5	276	68	-12	+0	+3	+3	+7	0.2
2019	30	MLB	Atlanta Braves	—	221	203	49	12	1	9	14	48	3	3	1	241	300	443	743	202	272	22	6	327	107	+2	+0	-1	+1	+5	0.7
2019	30	AAA	Syracuse Mets	—	102	92	32	9	0	0	6	14	1	2	1	348	394	446	840	98	395	14	6	366	85	—	—	—	—	—	—
2020	31	MLB	Atlanta Braves	—	63	59	15	3	0	0	4	12	0	0	0	254	302	305	607	51	319	19	6	278	74	-2	+0	-1	+0	+1	-0.1
2022	33	INTL	Gigantes de Carolina	—	69	59	19	2	0	2	9	14	1	0	1	322	420	458	878	136	395	20	13	396	154	—	—	—	—	—	—
2023	34	AAA	Omaha Storm Chasers	—	141	127	28	8	0	6	12	32	1	0	0	220	293	425	718	205	244	23	9	316	43	—	—	—	—	—	—
2023	34	INTL	Gigantes de Carolina	—	145	131	34	4	0	0	10	29	1	3	0	260	317	290	607	31	324	20	7	276	73	—	—	—	—	—	—
2024	35	INTL	Gigantes de Carolina	—	92	87	10	1	0	0	4	16	1	0	0	115	163	126	289	11	141	17	4	141	-19	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	3288	3071	778	116	36	37	163	550	9	35	19	253	293	351	644	97	295	17	5	285	79	-82	-1	+39	+35	+71	6.4
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2010	21	AA MLE	New Hampshire Fisher Cats	—	273	256	69	11	1	3	9	49	2	6	3	270	300	355	655	86	303	18	3	278	74	—	—	—	—	—	—
2010	21	A+ MLE	Dunedin Blue Jays	—	167	162	29	7	2	1	4	35	0	7	0	179	199	265	464	86	218	21	2	195	18	—	—	—	—	—	—
2011	22	AAA MLE	Las Vegas 51s	—	116	110	37	5	1	1	6	27	0	1	2	336	371	427	798	91	437	23	5	351	124	—	—	—	—	—	—
2011	22	AA MLE	New Hampshire Fisher Cats	—	502	474	111	21	6	5	15	93	3	19	13	234	262	335	598	101	271	19	3	259	61	—	—	—	—	—	—
2012	23	MLB MLE	Toronto Blue Jays	—	137	126	32	8	0	2	4	32	1	0	0	254	282	365	648	111	323	23	3	276	73	-4	+0	-1	+2	+3	-0.0
2012	23	AAA MLE	Las Vegas 51s	—	490	452	129	16	5	5	29	110	1	8	2	285	330	376	706	91	355	22	6	306	93	—	—	—	—	—	—
2013	24	MLB MLE	Miami Marlins	—	578	544	126	15	9	3	29	96	0	11	10	232	271	309	579	77	270	17	5	260	62	-26	-2	+5	+6	+13	-0.4
2014	25	MLB MLE	Miami Marlins	—	574	542	153	22	11	1	21	86	1	7	5	282	310	369	679	87	323	15	4	297	87	-9	-1	-1	+6	+12	0.8
2015	26	MLB MLE	Miami Marlins	—	499	474	136	19	6	5	19	78	2	7	2	287	317	384	701	97	325	16	4	312	97	-2	+1	+16	+5	+11	3.2
2016	27	MLB MLE	Miami Marlins	—	547	515	123	19	6	3	26	73	1	1	0	239	277	317	593	78	269	13	5	267	67	-22	+0	+13	+6	+12	0.9
2017	28	MLB MLE	Tampa Bay Rays	—	348	331	85	14	5	8	12	67	1	4	1	257	285	402	687	145	304	19	3	301	90	-4	+0	+7	+4	+8	1.5
2017	28	A+ MLE	Jupiter Hammerheads	—	27	24	6	0	0	0	2	1	1	1	1	250	333	250	583		265	4	7	275	72	—	—	—	—	—	—
2018	29	MLB MLE	New York Yankees	—	321	298	73	11	0	6	14	58	0	2	0	245	279	342	621	97	280	18	4	269	68	-12	+0	+3	+3	+7	0.2
2019	30	MLB MLE	Atlanta Braves	—	221	203	49	12	1	9	14	48	3	3	1	241	300	443	743	202	272	22	6	327	107	+2	+0	-1	+1	+5	0.7
2019	30	AAA MLE	Syracuse Mets	—	102	95	27	7	0	0	3	17	1	2	1	284	313	358	671	74	315	17	3	294	85	—	—	—	—	—	—
2020	31	MLB MLE	Atlanta Braves	—	63	59	15	3	0	0	4	12	0	0	0	254	302	305	607	51	319	19	6	278	74	-2	+0	-1	+0	+1	-0.1
2023	34	AAA MLE	Omaha Storm Chasers	—	141	132	22	6	0	4	7	39	1	0	0	167	214	303	517	136	201	28	5	232	43	—	—	—	—	—	—
2010	21	AA MLE	2 teams	—	440	418	96	17	3	3	13	85	2	13	3	230	256	306	563	77	278	19	3	246	53	—	—	—	—	—	—
2010	21	AA RAW	2 teams	—	440	414	100	18	4	4	17	65	2	13	3	242	275	333	608	92	274	15	4	269	53	—	—	—	—	—	—
2011	22	AA MLE	3 teams	—	696	659	167	29	9	7	24	136	3	21	16	253	283	357	639	103	307	20	3	276	73	—	—	—	—	—	—
2011	22	AA RAW	3 teams	—	696	644	169	31	12	9	39	116	3	21	16	262	308	390	697	127	305	17	6	306	73	—	—	—	—	—	—
2012	23	AAA MLE	2 teams	—	627	578	161	24	5	7	33	142	2	8	2	279	320	374	693	95	354	23	5	299	89	—	—	—	—	—	—
2012	23	AAA RAW	2 teams	—	627	569	170	28	6	8	42	118	2	8	2	299	349	411	760	112	361	19	7	333	89	—	—	—	—	—	—
2013	24	MLB MLE	Miami Marlins	—	578	544	126	15	9	3	29	96	0	11	10	232	271	309	579	77	276	17	5	260	62	-26	-2	+5	+6	+13	-0.4
2013	24	MLB RAW	Miami Marlins	—	578	543	123	14	8	3	30	96	0	11	10	227	267	298	565	72	270	17	5	254	62	-26	-2	+5	+6	+13	-0.4
2014	25	MLB MLE	Miami Marlins	—	574	542	153	22	11	1	21	86	1	7	5	282	310	369	679	87	330	15	4	297	87	-9	-1	-1	+6	+12	0.8
2014	25	MLB RAW	Miami Marlins	—	574	536	148	20	10	1	26	86	1	7	5	276	310	356	667	80	323	15	5	294	87	-9	-1	-1	+6	+12	0.8
2015	26	MLB MLE	Miami Marlins	—	499	474	136	19	6	5	19	78	2	7	2	287	317	384	701	97	332	16	4	312	97	-2	+1	+16	+5	+11	3.2
2015	26	MLB RAW	Miami Marlins	—	499	470	132	17	6	5	23	78	2	7	2	281	317	374	692	94	325	16	5	308	97	-2	+1	+16	+5	+11	3.2
2016	27	MLB MLE	Miami Marlins	—	547	515	123	19	6	3	26	73	1	1	0	239	277	317	593	78	271	13	5	267	67	-22	+0	+13	+6	+12	0.9
2016	27	MLB RAW	Miami Marlins	—	547	508	120	17	6	3	33	73	1	1	0	236	284	311	595	75	269	13	6	268	67	-22	+0	+13	+6	+12	0.9
2017	28	MLB MLE	2 teams	—	375	355	91	14	5	8	14	68	2	5	2	256	288	392	680	135	295	18	4	299	88	-5	+0	+7	+4	+8	1.4
2017	28	MLB RAW	2 teams	—	375	353	93	14	5	8	16	68	2	5	2	263	299	399	699	136	305	18	4	307	88	-5	+0	+7	+4	+8	1.4
2018	29	MLB MLE	New York Yankees	—	321	298	73	11	0	6	14	58	0	2	0	245	279	342	621	97	278	18	4	269	68	-12	+0	+3	+3	+7	0.2
2018	29	MLB RAW	New York Yankees	—	321	296	73	11	0	6	16	58	0	2	0	247	285	345	630	98	280	18	5	276	68	-12	+0	+3	+3	+7	0.2
2019	30	MLB MLE	2 teams	—	323	298	76	19	1	9	17	65	4	5	2	255	304	416	720	161	294	20	5	316	100	+0	+0	-1	+1	+7	0.7
2019	30	MLB RAW	2 teams	—	323	295	81	21	1	9	20	62	4	5	2	275	329	444	773	169	316	19	6	339	100	+0	+0	-1	+1	+7	0.7
2020	31	MLB MLE	Atlanta Braves	—	63	59	15	3	0	0	4	12	0	0	0	254	302	305	607	51	319	19	6	278	74	-2	+0	-1	+0	+1	-0.1
2020	31	MLB RAW	Atlanta Braves	—	63	59	15	3	0	0	4	12	0	0	0	254	302	305	607	51	319	19	6	278	74	-2	+0	-1	+0	+1	-0.1
2022	33	INTL MLE	Gigantes de Carolina	—	69	59	19	2	0	2	9	14	1	0	1	322	420	458	878	136	395	20	13	—	—	—	—	—	—	—	—
2022	33	INTL RAW	Gigantes de Carolina	—	69	59	19	2	0	2	9	14	1	0	1	322	420	458	878	136	395	20	13	396	154	—	—	—	—	—	—
2023	34	INTL MLE	2 teams	—	286	266	45	12	0	8	14	78	2	3	0	169	216	305	521	135	201	27	5	232	43	—	—	—	—	—	—
2023	34	INTL RAW	2 teams	—	286	258	62	12	0	6	22	61	2	3	0	240	305	357	662	116	287	21	8	296	43	—	—	—	—	—	—
2024	35	INTL MLE	Gigantes de Carolina	—	92	87	10	1	0	0	4	16	1	0	0	115	163	126	289	11	141	17	4	—	—	—	—	—	—	—	—
2024	35	INTL RAW	Gigantes de Carolina	—	92	87	10	1	0	0	4	16	1	0	0	115	163	126	289	11	141	17	4	141	-19	—	—	—	—	—	—
2010	21	AA MLE	2 teams	—	440	422	96	17	3	3	13	85	2	13	3	227	256	303	560	76	271	19	3	246	53	—	—	—	—	—	—
2011	22	AA MLE	3 teams	—	696	664	167	29	9	7	24	136	3	21	16	252	283	354	637	102	302	20	3	276	73	—	—	—	—	—	—
2012	23	AAA MLE	2 teams	—	627	587	161	24	5	7	33	142	2	8	2	274	320	368	688	94	348	23	5	299	89	—	—	—	—	—	—
2013	24	MLB MLE	Miami Marlins	—	578	544	126	15	9	3	29	96	0	11	10	232	271	309	579	77	270	17	5	260	62	—	—	—	—	—	—
2014	25	MLB MLE	Miami Marlins	—	574	547	153	22	11	1	21	86	1	7	5	280	310	366	676	86	323	15	4	297	87	—	—	—	—	—	—
2015	26	MLB MLE	Miami Marlins	—	499	475	136	19	6	5	19	78	2	7	2	286	317	383	700	97	325	16	4	312	97	—	—	—	—	—	—
2016	27	MLB MLE	Miami Marlins	—	547	515	123	19	6	3	26	73	1	1	0	239	277	317	593	78	269	13	5	267	67	—	—	—	—	—	—
2017	28	MLB MLE	2 teams	—	375	356	91	14	5	8	14	68	2	5	2	256	288	390	679	135	301	18	4	299	88	—	—	—	—	—	—
2018	29	MLB MLE	New York Yankees	—	321	304	73	11	0	6	14	58	0	2	0	240	279	336	614	95	280	18	4	269	68	—	—	—	—	—	—
2019	30	MLB MLE	2 teams	—	323	299	76	19	1	9	17	65	4	5	2	254	304	415	719	161	286	20	5	316	100	—	—	—	—	—	—
2020	31	MLB MLE	Atlanta Braves	—	63	59	15	3	0	0	4	12	0	0	0	254	302	305	607	51	319	19	6	278	74	—	—	—	—	—	—
2023	34	INTL MLE	2 teams	—	286	268	45	12	0	8	14	78	2	3	0	168	216	302	519	134	201	27	5	232	43	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	3288	3071	778	116	36	37	163	550	9	35	19	253	293	351	644	97	295	17	5	285	70	-82	-1	+39	+35	+71	6.4
/ 162G	—	A+C		—	650	607	153	23	7	7	32	109	2	7	4	252	292	348	639	96	294	17	5	285	70	-16	-0	+8	+7	+14	1.3
Career	—	MLE		—	5490	5152	1291	207	55	62	241	1007	21	83	43	251	287	348	635	98	298	18	4	272	70	-82	-1	+39	+35	+71	6.4
/ 162G	—	MLE		—	650	610	153	25	7	7	29	119	2	10	5	251	287	349	636	98	298	18	4	272	70	-16	-0	+8	+7	+14	1.3

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.

2023 AAAOmaha Storm Chasers · 141 PAwOBA .307 → .232 (−75)K% 22.7% → 27.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.70%	÷0.995	×1.200	—	—	27.37%
BB% (unintentional) /PA	7.80%	÷1.030	×0.690	—	×0.940	4.91%
HBP% /PA	0.71%	—	×0.940	—	×0.940	0.63%
Singles /BIP	14.74%	÷0.978	×0.930	×0.986	×0.940	12.99%
Doubles /BIP	8.42%	÷1.000	×0.830	×0.986	×0.940	6.48%
Triples /BIP	0.00%	÷1.150	×0.970	×0.986	×0.940	0.00%
Home runs /BIP	6.32%	÷0.942	×0.700	—	×0.940	4.41%

Factors used: league row International League. Park (home-season share, regressed): HR 88, 1B 96, 2B 100, 3B 130, K 99, BB 106 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.986.

Result: wOBA .307 → .232; ISO .205 → .147; BABIP .244 → .201. 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 AAASyracuse Mets · 102 PAwOBA .363 → .294 (−69)K% 13.7% → 16.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.73%	÷1.020	×1.200	—	—	16.15%
BB% (unintentional) /PA	4.90%	÷0.966	×0.690	—	×0.972	3.40%
HBP% /PA	0.98%	—	×0.940	—	×0.972	0.90%
Singles /BIP	29.49%	÷1.042	×0.930	×0.950	×0.972	24.31%
Doubles /BIP	11.54%	÷1.060	×0.830	×0.950	×0.972	8.34%
Triples /BIP	0.00%	÷0.900	×0.970	×0.950	×0.972	0.00%
Home runs /BIP	0.00%	÷0.960	×0.840	—	×0.972	0.00%

Factors used: league row IL. Park (home-season share, regressed): HR 92, 1B 108, 2B 112, 3B 80, K 104, BB 93 — applied at half strength. Age: age 30 vs a level average of 27.2 → −2.8% on BB/HBP/hit rates (2.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .363 → .294; ISO .098 → .074; BABIP .395 → .315. 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 A+Jupiter Hammerheads · 27 PAwOBA .332 → .275 (−56)K% 3.7% → 5.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	3.70%	÷0.995	×1.420	—	—	5.29%
BB% (unintentional) /PA	11.11%	÷0.947	×0.750	—	×0.948	8.34%
HBP% /PA	3.70%	—	×0.930	—	×0.948	3.27%
Singles /BIP	31.82%	÷1.046	×0.920	—	×0.948	26.53%
Doubles /BIP	0.00%	÷1.094	×0.960	—	×0.948	0.00%
Triples /BIP	0.00%	÷1.131	×0.810	—	×0.948	0.00%
Home runs /BIP	0.00%	÷0.944	×0.880	—	×0.948	0.00%

Factors used: league row FSL. Park (home-season share, regressed): HR 89, 1B 109, 2B 119, 3B 126, K 99, BB 89 — applied at half strength. Age: age 28 vs a level average of 22.8 → −5.2% on BB/HBP/hit rates (5.2 yr older than average).

Result: wOBA .332 → .275; ISO .000 → .000; BABIP .318 → .265. 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 AAALas Vegas 51s · 490 PAwOBA .343 → .306 (−37)K% 17.6% → 22.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.55%	÷1.004	×1.290	—	—	22.54%
BB% (unintentional) /PA	7.76%	÷0.985	×0.710	—	×1.050	5.87%
HBP% /PA	0.20%	—	×0.980	—	×1.050	0.21%
Singles /BIP	29.69%	÷0.985	×0.900	×1.035	×1.050	29.48%
Doubles /BIP	5.60%	÷1.085	×0.810	×1.035	×1.050	4.55%
Triples /BIP	1.68%	÷0.994	×0.810	×1.035	×1.050	1.49%
Home runs /BIP	1.68%	÷1.059	×0.780	—	×1.050	1.30%

Factors used: league row PCL. Park (home-season share, regressed): HR 112, 1B 97, 2B 117, 3B 99, K 101, BB 97 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.035.

Result: wOBA .343 → .306; ISO .113 → .090; BABIP .371 → .355. 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).

2011 AANew Hampshire Fisher Cats · 502 PAwOBA .269 → .259 (−10)K% 15.5% → 18.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.54%	÷1.021	×1.220	—	—	18.56%
BB% (unintentional) /PA	4.58%	÷1.096	×0.700	—	×1.042	3.05%
HBP% /PA	0.60%	—	×0.850	—	×1.042	0.53%
Singles /BIP	19.43%	÷1.001	×0.970	×1.029	×1.042	20.18%
Doubles /BIP	5.70%	÷0.979	×0.860	×1.029	×1.042	5.37%
Triples /BIP	1.55%	÷0.963	×0.950	×1.029	×1.042	1.64%
Home runs /BIP	1.55%	÷1.018	×0.780	—	×1.042	1.24%

Factors used: league row EL. Park (home-season share, regressed): HR 104, 1B 100, 2B 96, 3B 93, K 104, BB 119 — applied at half strength. Age: age 22 vs a level average of 24.8 → +4.2% on BB/HBP/hit rates (2.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.029.

Result: wOBA .269 → .259; ISO .112 → .104; BABIP .267 → .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).

2011 AAALas Vegas 51s · 116 PAwOBA .416 → .351 (−66)K% 18.1% → 23.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.10%	÷0.992	×1.290	—	—	23.53%
BB% (unintentional) /PA	6.90%	÷0.998	×0.710	—	×1.050	5.15%
HBP% /PA	0.00%	—	×0.980	—	×1.050	0.00%
Singles /BIP	36.78%	÷0.974	×0.900	×1.004	×1.050	35.82%
Doubles /BIP	6.90%	÷1.082	×0.810	×1.004	×1.050	5.45%
Triples /BIP	2.30%	÷1.123	×0.810	×1.004	×1.050	1.75%
Home runs /BIP	2.30%	÷1.200	×0.780	—	×1.050	1.57%

Factors used: league row PCL. Park (home-season share, regressed): HR 140, 1B 95, 2B 116, 3B 125, K 98, BB 100 — 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 ×1.004.

Result: wOBA .416 → .351; ISO .148 → .105; BABIP .471 → .437. 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).

2010 AANew Hampshire Fisher Cats · 273 PAwOBA .293 → .278 (−15)K% 14.7% → 18.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.65%	÷0.994	×1.220	—	—	17.99%
BB% (unintentional) /PA	4.40%	÷1.016	×0.700	—	×1.050	3.18%
HBP% /PA	0.73%	—	×0.850	—	×1.050	0.65%
Singles /BIP	25.35%	÷1.050	×0.970	×1.022	×1.050	25.13%
Doubles /BIP	5.16%	÷0.935	×0.860	×1.022	×1.050	5.10%
Triples /BIP	0.47%	÷1.150	×0.950	×1.022	×1.050	0.42%
Home runs /BIP	1.41%	÷0.957	×0.780	—	×1.050	1.21%

Factors used: league row EL. Park (home-season share, regressed): HR 91, 1B 110, 2B 87, 3B 130, K 99, BB 103 — applied at half strength. Age: age 21 vs a level average of 24.8 → +5.0% on BB/HBP/hit rates (3.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.022.

Result: wOBA .293 → .278; ISO .087 → .081; BABIP .307 → .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).

2010 A+Dunedin Blue Jays · 167 PAwOBA .218 → .195 (−23)K% 15.0% → 21.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.97%	÷1.003	×1.420	—	—	21.19%
BB% (unintentional) /PA	2.99%	÷0.965	×0.750	—	×1.027	2.39%
HBP% /PA	0.00%	—	×0.930	—	×1.027	0.00%
Singles /BIP	14.71%	÷0.982	×0.920	×1.050	×1.027	14.85%
Doubles /BIP	5.15%	÷1.044	×0.960	×1.050	×1.027	5.10%
Triples /BIP	2.21%	÷1.150	×0.810	×1.050	×1.027	1.68%
Home runs /BIP	0.74%	÷0.994	×0.880	—	×1.027	0.67%

Factors used: league row FSL. Park (home-season share, regressed): HR 99, 1B 96, 2B 109, 3B 130, K 101, BB 93 — applied at half strength. Age: age 21 vs a level average of 22.8 → +2.7% on BB/HBP/hit rates (1.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .218 → .195; ISO .099 → .083; BABIP .222 → .218. 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 — .