Abiatal Avelino

PosSS

B/TR/R

Born1995-02-14

Age (2027)32

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
2021	26	AAA/INTL2 orgs	453	.262/.347/.368	6	16	76	—	.244/.305/.332
2022	27	AALAD	230	.230/.291/.378	7	9	53	—	.197/.247/.305
2024	29	INTLLeones del Es…	24	.300/.391/.450	1	0	134	—

Contract

No contract data on file.

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	17	ROK	DSL Yankees 1	—	264	222	67	11	1	1	27	34	10	20	2	302	402	374	775	72	349	13	10	352	52	—	—	—	—	—	—
2013	18	ROK	GCL Yankees2	—	148	128	43	7	5	0	16	11	3	26	4	336	422	469	891	133	368	7	11	395	98	—	—	—	—	—	—
2014	19	A	Charleston RiverDogs	—	242	220	51	12	1	2	17	44	3	11	5	232	296	323	619	91	282	18	7	280	51	—	—	—	—	—	—
2014	19	ROK	GCL Yankees1	—	33	31	11	6	0	0	2	4	0	0	0	355	394	548	942	194	407	12	6	413	82	—	—	—	—	—	—
2015	20	A+	Tampa Yankees	—	446	405	102	12	2	4	32	63	2	38	15	252	310	321	631	69	289	14	7	284	57	—	—	—	—	—	—
2015	20	A	Charleston RiverDogs	—	90	83	25	8	0	0	5	16	0	16	3	301	341	398	738	96	373	18	6	324	71	—	—	—	—	—	—
2016	21	AA	Trenton Thunder	—	141	127	31	11	0	0	10	19	2	1	2	244	309	331	640	87	284	13	7	288	75	—	—	—	—	—	—
2016	21	A+	Tampa Yankees	—	394	357	95	17	2	6	29	63	4	20	13	266	328	375	704	109	305	16	7	315	78	—	—	—	—	—	—
2016	21	INTL	Cangrejeros de Santurce	—	57	53	12	1	0	0	3	8	1	0	1	226	281	245	526	19	267	14	5	247	53	—	—	—	—	—	—
2017	22	AAA	Scranton/Wilkes-Barre RailRiders	—	68	61	13	1	1	0	5	10	1	3	1	213	284	262	546	49	255	15	7	251	45	—	—	—	—	—	—
2017	22	AA	Trenton Thunder	—	249	230	62	12	4	3	14	33	2	4	0	270	317	396	713	126	301	13	6	314	88	—	—	—	—	—	—
2017	22	A+	Tampa Yankees	—	34	32	7	1	0	0	2	5	0	4	0	219	265	250	515	31	259	15	6	239	14	—	—	—	—	—	—
2017	22	INTL	Dominican Republic	—	182	164	51	4	1	0	15	18	0	21	5	311	369	348	716	37	345	10	8	323	105	—	—	—	—	—	—
2018	23	AAA	Sacramento River Cats	—	303	287	71	6	6	5	14	64	1	12	2	247	285	362	647	115	303	21	5	288	55	—	—	—	—	—	—
2018	23	AA	Trenton Thunder	—	211	190	64	7	2	10	18	37	0	15	4	337	394	553	947	216	375	18	9	409	137	—	—	—	—	—	—
2018	23	INTL	Gigantes del Cibao	—	180	162	41	3	0	2	14	29	1	8	1	253	316	309	625	56	295	16	8	284	78	—	—	—	—	—	—
2019	24	AAA	Sacramento River Cats	—	502	473	134	24	8	12	23	84	0	17	5	283	317	444	761	161	321	17	5	331	69	—	—	—	—	—	—
2019	24	INTL	Gigantes del Cibao	—	81	75	19	1	0	0	5	19	0	3	1	253	300	267	567	13	333	23	6	260	62	—	—	—	—	—	—
2020	25	INTL	Gigantes del Cibao	—	107	92	18	4	0	1	13	16	1	2	1	196	302	272	574	76	224	15	12	269	68	—	—	—	—	—	—
2021	26	AAA	Iowa Cubs	—	433	380	101	18	3	6	43	71	6	16	4	266	350	376	726	111	310	16	10	328	77	—	—	—	—	—	—
2021	26	INTL	Gigantes del Cibao	—	20	17	3	0	0	0	2	4	1	0	0	176	300	176	476		231	20	10	242	50	—	—	—	—	—	—
2022	27	AA	Tulsa Drillers	—	230	209	48	10	0	7	14	38	4	9	1	230	291	378	669	148	247	17	6	296	53	—	—	—	—	—	—
2024	29	INTL	Leones del Escogido	—	24	20	6	0	0	1	1	4	2	0	0	300	391	450	841	150	312	17	4	366	134	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2012	17	ROK MLE	DSL Yankees 1	—	264	230	48	7	1	1	19	41	10	20	2	209	297	261	558	52	239	16	7	245	52	—	—	—	—	—	—
2013	18	ROK MLE	GCL Yankees2	—	148	134	38	6	4	0	10	16	3	26	4	284	347	388	735	104	313	11	7	313	98	—	—	—	—	—	—
2014	19	A MLE	Charleston RiverDogs	—	242	226	49	10	1	2	11	60	3	11	5	217	263	296	559	80	283	25	5	243	51	—	—	—	—	—	—
2014	19	ROK MLE	GCL Yankees1	—	33	32	8	4	0	0	1	6	0	0	0	250	273	375	648	125	314	18	3	290	82	—	—	—	—	—	—
2015	20	A+ MLE	Tampa Yankees	—	446	412	95	12	1	4	25	88	2	38	15	231	278	294	572	63	279	20	6	253	57	—	—	—	—	—	—
2015	20	A MLE	Charleston RiverDogs	—	90	85	23	7	0	0	3	22	0	16	3	271	295	353	648	82	349	24	3	273	71	—	—	—	—	—	—
2016	21	AA MLE	Trenton Thunder	—	141	130	33	11	0	0	7	23	2	1	2	254	302	338	641	85	299	16	5	279	75	—	—	—	—	—	—
2016	21	A+ MLE	Tampa Yankees	—	394	364	89	17	2	6	22	91	4	20	13	245	295	352	647	107	302	23	6	283	78	—	—	—	—	—	—
2017	22	AAA MLE	Scranton/Wilkes-Barre RailRiders	—	68	63	14	1	1	0	3	12	1	3	1	222	269	270	538	48	263	18	4	234	45	—	—	—	—	—	—
2017	22	AA MLE	Trenton Thunder	—	249	234	64	12	4	3	10	40	2	4	0	274	309	397	706	124	308	16	4	298	88	—	—	—	—	—	—
2017	22	A+ MLE	Tampa Yankees	—	34	33	6	1	0	0	1	7	0	4	0	182	206	212	418	30	229	21	3	189	14	—	—	—	—	—	—
2018	23	AAA MLE	Sacramento River Cats	—	303	292	67	6	4	4	9	77	1	12	2	229	255	318	573	89	295	25	3	249	55	—	—	—	—	—	—
2018	23	AA MLE	Trenton Thunder	—	211	195	64	6	2	8	13	45	0	15	4	328	370	503	873	174	384	21	6	370	137	—	—	—	—	—	—
2019	24	AAA MLE	Sacramento River Cats	—	502	480	115	19	6	9	16	111	0	17	5	240	264	360	625	121	288	22	3	270	69	—	—	—	—	—	—
2021	26	AAA MLE	Iowa Cubs	—	433	394	96	17	3	4	29	83	6	16	4	244	305	332	638	89	291	19	7	282	77	—	—	—	—	—	—
2022	27	AA MLE	Tulsa Drillers	—	230	213	42	8	0	5	10	48	4	9	1	197	247	305	552	108	226	21	4	246	53	—	—	—	—	—	—
2012	17	ROK MLE	DSL Yankees 1	—	264	230	48	7	1	1	19	41	10	20	2	209	297	261	558	52	247	16	7	245	52	—	—	—	—	—	—
2012	17	ROK RAW	DSL Yankees 1	—	264	222	67	11	1	1	27	34	10	20	2	302	402	374	775	72	349	13	10	352	52	—	—	—	—	—	—
2013	18	ROK MLE	GCL Yankees2	—	148	134	38	6	4	0	10	16	3	26	4	284	347	388	735	104	322	11	7	313	98	—	—	—	—	—	—
2013	18	ROK RAW	GCL Yankees2	—	148	128	43	7	5	0	16	11	3	26	4	336	422	469	891	133	368	7	11	395	98	—	—	—	—	—	—
2014	19	A MLE	2 teams	—	275	258	57	14	1	2	12	66	3	11	5	221	264	306	570	85	289	24	4	249	54	—	—	—	—	—	—
2014	19	A RAW	2 teams	—	275	251	62	18	1	2	19	48	3	11	5	247	308	351	658	104	299	17	7	296	54	—	—	—	—	—	—
2015	20	A+ MLE	2 teams	—	536	497	118	19	1	4	28	110	2	54	18	237	281	304	585	66	297	21	5	256	60	—	—	—	—	—	—
2015	20	A+ RAW	2 teams	—	536	488	127	20	2	4	37	79	2	54	18	260	315	334	649	74	303	15	7	291	60	—	—	—	—	—	—
2016	21	A+ MLE	3 teams	—	592	547	135	31	2	7	32	126	7	21	16	247	297	349	646	102	305	21	5	282	77	—	—	—	—	—	—
2016	21	A+ RAW	3 teams	—	592	537	138	29	2	6	42	90	7	21	16	257	319	352	671	95	296	15	7	302	77	—	—	—	—	—	—
2017	22	AA MLE	4 teams	—	533	500	125	21	7	4	23	91	3	32	6	250	287	344	631	94	296	17	4	275	72	—	—	—	—	—	—
2017	22	AA RAW	4 teams	—	533	487	133	18	6	3	36	66	3	32	6	273	327	353	680	80	308	12	7	304	72	—	—	—	—	—	—
2018	23	AAA MLE	3 teams	—	694	654	177	16	9	16	31	165	2	35	7	271	306	396	702	125	339	24	4	299	88	—	—	—	—	—	—
2018	23	AAA RAW	3 teams	—	694	639	176	16	8	17	46	130	2	35	7	275	326	405	731	130	322	19	7	324	88	—	—	—	—	—	—
2019	24	AAA MLE	2 teams	—	583	557	134	22	7	11	19	129	0	20	6	241	266	364	630	124	292	22	3	270	69	—	—	—	—	—	—
2019	24	AAA RAW	2 teams	—	583	548	153	25	8	12	28	103	0	20	6	279	314	420	734	141	323	18	5	321	69	—	—	—	—	—	—
2020	25	INTL MLE	Gigantes del Cibao	—	107	92	18	4	0	1	13	16	1	2	1	196	302	272	574	76	224	15	12	—	—	—	—	—	—	—	—
2020	25	INTL RAW	Gigantes del Cibao	—	107	92	18	4	0	1	13	16	1	2	1	196	302	272	574	76	224	15	12	269	68	—	—	—	—	—	—
2021	26	AAA MLE	2 teams	—	453	411	100	18	3	4	31	87	7	16	4	243	307	331	638	88	297	19	7	282	77	—	—	—	—	—	—
2021	26	AAA RAW	2 teams	—	453	397	104	18	3	6	45	75	7	16	4	262	347	368	715	106	307	17	10	324	77	—	—	—	—	—	—
2022	27	AA MLE	Tulsa Drillers	—	230	213	42	8	0	5	10	48	4	9	1	197	247	305	552	108	228	21	4	246	53	—	—	—	—	—	—
2022	27	AA RAW	Tulsa Drillers	—	230	209	48	10	0	7	14	38	4	9	1	230	291	378	669	148	247	17	6	296	53	—	—	—	—	—	—
2024	29	INTL MLE	Leones del Escogido	—	24	20	6	0	0	1	1	4	2	0	0	300	391	450	841	150	312	17	4	—	—	—	—	—	—	—	—
2024	29	INTL RAW	Leones del Escogido	—	24	20	6	0	0	1	1	4	2	0	0	300	391	450	841	150	312	17	4	366	134	—	—	—	—	—	—
2012	17	ROK MLE	DSL Yankees 1	—	264	233	48	7	1	1	19	41	10	20	2	206	297	258	555	52	239	16	7	245	52	—	—	—	—	—	—
2013	18	ROK MLE	GCL Yankees2	—	148	134	38	6	4	0	10	16	3	26	4	284	347	388	735	104	313	11	7	313	98	—	—	—	—	—	—
2014	19	A MLE	2 teams	—	275	258	57	14	1	2	12	66	3	11	5	221	264	306	570	85	287	24	4	249	54	—	—	—	—	—	—
2015	20	A+ MLE	2 teams	—	536	501	118	19	1	4	28	110	2	54	18	236	281	301	582	66	291	21	5	256	60	—	—	—	—	—	—
2016	21	A+ MLE	3 teams	—	592	548	135	31	2	7	32	126	7	21	16	246	297	349	645	102	301	21	5	282	77	—	—	—	—	—	—
2017	22	AA MLE	4 teams	—	533	502	125	21	7	4	23	91	3	32	6	249	287	343	630	94	292	17	4	275	72	—	—	—	—	—	—
2018	23	AAA MLE	3 teams	—	694	656	177	16	9	16	31	165	2	35	7	270	306	395	700	125	332	24	4	299	88	—	—	—	—	—	—
2019	24	AAA MLE	2 teams	—	583	559	134	22	7	11	19	129	0	20	6	240	266	363	629	123	288	22	3	270	69	—	—	—	—	—	—
2021	26	AAA MLE	2 teams	—	453	412	100	18	3	4	31	87	7	16	4	243	307	330	637	87	291	19	7	282	77	—	—	—	—	—	—
2022	27	AA MLE	Tulsa Drillers	—	230	214	42	8	0	5	10	48	4	9	1	196	247	304	550	107	226	21	4	246	53	—	—	—	—	—	—
▸ Career Totals
Career	—	MLE		—	4439	4113	998	166	35	56	229	899	44	246	70	243	290	341	631	98	296	20	5	266	66	-180	+21	-1	+48	+96	-1.6
/ 162G	—	MLE		—	650	602	146	24	5	8	34	132	6	36	10	243	290	339	629	96	296	20	5	266	66	-26	+3	-0	+7	+14	-0.2

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 AATulsa Drillers · 230 PAwOBA .291 → .246 (−45)K% 16.5% → 20.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.52%	÷0.971	×1.220	—	—	20.76%
BB% (unintentional) /PA	6.09%	÷0.975	×0.700	—	×0.978	4.27%
HBP% /PA	1.74%	—	×0.870	—	×0.978	1.48%
Singles /BIP	18.13%	÷0.953	×0.920	×1.012	×0.978	17.32%
Doubles /BIP	5.85%	÷1.006	×0.840	×1.012	×0.978	4.83%
Triples /BIP	0.00%	÷1.150	×0.940	×1.012	×0.978	0.00%
Home runs /BIP	4.09%	÷0.993	×0.800	—	×0.978	3.22%

Factors used: league row TL. Park (home-season share, regressed): HR 99, 1B 91, 2B 101, 3B 130, K 94, BB 95 — applied at half strength. Age: age 27 vs a level average of 24.8 → −2.2% on BB/HBP/hit rates (2.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.012.

Result: wOBA .291 → .246; ISO .148 → .117; BABIP .247 → .226. 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 AAAIowa Cubs · 433 PAwOBA .322 → .282 (−40)K% 16.4% → 19.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.40%	÷1.032	×1.200	—	—	19.06%
BB% (unintentional) /PA	9.93%	÷1.023	×0.690	—	×1.018	6.82%
HBP% /PA	1.39%	—	×0.940	—	×1.018	1.33%
Singles /BIP	23.95%	÷1.039	×0.930	×1.041	×1.018	22.70%
Doubles /BIP	5.83%	÷0.963	×0.830	×1.041	×1.018	5.32%
Triples /BIP	0.97%	÷0.988	×0.920	×1.041	×1.018	0.96%
Home runs /BIP	1.94%	÷1.081	×0.700	—	×1.018	1.28%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 116, 1B 108, 2B 93, 3B 98, K 106, BB 105 — 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 ×1.041.

Result: wOBA .322 → .282; ISO .111 → .092; BABIP .310 → .291. 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 · 502 PAwOBA .322 → .270 (−52)K% 16.7% → 22.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.73%	÷0.971	×1.290	—	—	22.22%
BB% (unintentional) /PA	4.18%	÷0.980	×0.710	—	×1.048	3.18%
HBP% /PA	0.00%	—	×0.980	—	×1.048	0.00%
Singles /BIP	23.14%	÷0.982	×0.900	×0.968	×1.048	21.51%
Doubles /BIP	6.17%	÷0.981	×0.810	×0.968	×1.048	5.17%
Triples /BIP	2.06%	÷1.008	×0.810	×0.968	×1.048	1.68%
Home runs /BIP	3.08%	÷1.027	×0.780	—	×1.048	2.46%

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 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 ×0.968.

Result: wOBA .322 → .270; ISO .161 → .126; BABIP .321 → .288. 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).

2018 AAASacramento River Cats · 303 PAwOBA .279 → .249 (−30)K% 21.1% → 25.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.12%	÷1.071	×1.290	—	—	25.44%
BB% (unintentional) /PA	4.29%	÷1.043	×0.710	—	×1.050	3.07%
HBP% /PA	0.33%	—	×0.980	—	×1.050	0.34%
Singles /BIP	24.22%	÷0.963	×0.900	×1.026	×1.050	24.38%
Doubles /BIP	2.69%	÷0.910	×0.810	×1.026	×1.050	2.58%
Triples /BIP	2.69%	÷1.150	×0.810	×1.026	×1.050	2.04%
Home runs /BIP	2.24%	÷0.998	×0.780	—	×1.050	1.84%

Factors used: league row PCL. Park (home-season share, regressed): HR 100, 1B 93, 2B 82, 3B 130, K 114, BB 109 — 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 ×1.026.

Result: wOBA .279 → .249; ISO .115 → .092; BABIP .303 → .295. 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).

2018 AATrenton Thunder · 211 PAwOBA .400 → .370 (−30)K% 17.5% → 21.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.54%	÷1.002	×1.220	—	—	21.35%
BB% (unintentional) /PA	8.53%	÷0.972	×0.700	—	×1.027	6.31%
HBP% /PA	0.00%	—	×0.850	—	×1.027	0.00%
Singles /BIP	29.41%	÷0.954	×0.970	×1.021	×1.027	31.35%
Doubles /BIP	4.58%	÷1.042	×0.860	×1.021	×1.027	3.96%
Triples /BIP	1.31%	÷0.944	×0.950	×1.021	×1.027	1.38%
Home runs /BIP	6.54%	÷1.034	×0.780	—	×1.027	5.07%

Factors used: league row EL. Park (home-season share, regressed): HR 107, 1B 91, 2B 108, 3B 89, K 100, BB 94 — 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 ×1.021.

Result: wOBA .400 → .370; ISO .216 → .176; BABIP .375 → .384. 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 AATrenton Thunder · 249 PAwOBA .308 → .298 (−11)K% 13.3% → 16.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.25%	÷1.007	×1.220	—	—	16.06%
BB% (unintentional) /PA	5.62%	÷0.979	×0.700	—	×1.042	4.19%
HBP% /PA	0.80%	—	×0.850	—	×1.042	0.71%
Singles /BIP	21.83%	÷1.020	×0.970	×1.050	×1.042	22.71%
Doubles /BIP	6.09%	÷0.936	×0.860	×1.050	×1.042	6.12%
Triples /BIP	2.03%	÷1.150	×0.950	×1.050	×1.042	1.84%
Home runs /BIP	1.52%	÷0.960	×0.780	—	×1.042	1.29%

Factors used: league row EL. Park (home-season share, regressed): HR 92, 1B 104, 2B 87, 3B 130, K 101, BB 96 — 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 ×1.050.

Result: wOBA .308 → .298; ISO .126 → .117; BABIP .301 → .308. 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 AAAScranton/Wilkes-Barre RailRiders · 68 PAwOBA .245 → .234 (−11)K% 14.7% → 17.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.71%	÷0.995	×1.200	—	—	17.74%
BB% (unintentional) /PA	7.35%	÷1.105	×0.690	—	×1.050	4.82%
HBP% /PA	1.47%	—	×0.940	—	×1.050	1.45%
Singles /BIP	21.57%	÷0.980	×0.930	×1.050	×1.050	22.57%
Doubles /BIP	1.96%	÷0.951	×0.830	×1.050	×1.050	1.89%
Triples /BIP	1.96%	÷1.150	×0.970	×1.050	×1.050	1.82%
Home runs /BIP	0.00%	÷1.247	×0.840	—	×1.050	0.00%

Factors used: league row IL. Park (home-season share, regressed): HR 149, 1B 96, 2B 90, 3B 130, K 99, 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 .245 → .234; ISO .049 → .047; BABIP .255 → .263. 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+Tampa Yankees · 34 PAwOBA .233 → .189 (−44)K% 14.7% → 22.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.71%	÷0.949	×1.420	—	—	22.01%
BB% (unintentional) /PA	5.88%	÷1.007	×0.750	—	×1.012	4.43%
HBP% /PA	0.00%	—	×0.930	—	×1.012	0.00%
Singles /BIP	22.22%	÷1.071	×0.920	—	×1.012	19.31%
Doubles /BIP	3.70%	÷0.995	×0.960	—	×1.012	3.62%
Triples /BIP	0.00%	÷1.031	×0.810	—	×1.012	0.00%
Home runs /BIP	0.00%	÷0.949	×0.880	—	×1.012	0.00%

Factors used: league row FSL. Park (home-season share, regressed): HR 90, 1B 114, 2B 99, 3B 106, K 90, BB 101 — 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).

Result: wOBA .233 → .189; ISO .031 → .028; BABIP .259 → .229. 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 — .