Zoilo Almonte

PosLF

B/TS/R

Born1989-06-10

Age (2027)38

No MLB projection yet. Career stats below are historical.

Overview

INTL

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	wRC+	WAR
2023	34	INTLCaneros de lo…	47	.186/.255/.302	1	58	—
2024	35	INTLDominican Rep…	25	.318/.400/.455	0	145	—
2025	36	INTLYaquis de Obr…	33	.103/.212/.138	0	8	—

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)
2006	17	ROK	DSL Yankees 1	—	224	193	42	6	3	6	28	52	1	4	3	218	318	373	691	155	265	23	12	311	17	—	—	—	—	—	—
2007	18	ROK	GCL Yankees	—	205	190	51	11	2	3	9	35	2	2	2	268	308	395	703	126	314	17	4	307	40	—	—	—	—	—	—
2008	19	ROK	GCL Yankees	—	200	180	43	7	1	5	13	35	2	3	0	239	297	372	670	133	264	18	6	293	34	—	—	—	—	—	—
2010	21	A+	Tampa Yankees	—	264	238	62	10	3	3	23	65	0	8	1	261	326	366	691	105	341	25	9	309	61	—	—	—	—	—	—
2010	21	A	Charleston RiverDogs	—	255	227	63	13	2	10	21	65	2	7	6	278	344	485	829	207	344	25	8	358	91	—	—	—	—	—	—
2011	22	AA	Trenton Thunder	—	191	175	44	11	1	3	14	45	1	4	1	251	311	377	688	126	320	24	7	307	73	—	—	—	—	—	—
2011	22	A+	Tampa Yankees	—	296	259	76	15	3	12	31	60	2	14	4	293	373	514	887	220	335	20	10	384	116	—	—	—	—	—	—
2011	22	INTL	Estrellas de Oriente	—	37	35	6	1	0	0	2	9	0	0	1	171	216	200	416	29	231	24	5	195	18	—	—	—	—	—	—
2012	23	AA	Trenton Thunder	—	451	419	116	23	1	21	25	103	4	15	4	277	324	487	811	210	319	23	6	354	93	—	—	—	—	—	—
2013	24	MLB	New York Yankees	—	113	106	25	4	0	1	6	19	0	3	1	236	277	302	579	66	276	17	5	261	62	-5	+0	+1	-6	+2	-0.8
2013	24	AAA	Scranton/Wilkes-Barre RailRiders	—	293	259	77	12	1	6	30	47	1	4	1	297	372	421	793	124	340	16	10	354	107	—	—	—	—	—	—
2013	24	INTL	Aguilas Cibaenas	—	181	174	55	10	1	4	7	36	0	6	2	316	343	454	797	138	381	20	4	353	125	—	—	—	—	—	—
2014	25	MLB	New York Yankees	—	36	36	5	0	0	1	0	14	0	1	0	139	139	222	361	83	190	39	0	158	-9	-5	+0	+1	-7	+1	-1.0
2014	25	AAA	Scranton/Wilkes-Barre RailRiders	—	454	421	110	18	1	18	29	105	2	6	4	261	312	437	749	176	307	23	6	330	73	—	—	—	—	—	—
2014	25	INTL	Aguilas Cibaenas	—	152	139	47	13	0	2	13	31	0	0	1	338	395	475	870	137	425	20	9	387	148	—	—	—	—	—	—
2015	26	INTL	Dominican Republic	—	214	194	57	11	0	3	15	35	4	0	1	294	357	397	754	103	344	16	7	340	116	—	—	—	—	—	—
2016	27	AAA	Sultanes de Monterrey	—	458	414	118	20	1	20	41	77	1	1	2	285	351	483	834	198	307	17	9	367	78	—	—	—	—	—	—
2016	27	INTL	Dominican Republic	—	194	169	44	10	0	1	21	36	3	1	1	260	352	337	690	77	323	19	11	318	101	—	—	—	—	—	—
2017	28	AAA	Sultanes de Monterrey	—	497	442	157	33	1	15	46	85	6	0	0	355	423	536	959	181	412	17	9	421	120	—	—	—	—	—	—
2017	28	INTL	Aguilas Cibaenas	—	185	163	42	7	0	5	19	30	2	1	0	258	342	393	735	135	287	16	10	331	110	—	—	—	—	—	—
2018	29	INTL	Aguilas Cibaenas	—	68	63	15	3	0	2	4	7	1	0	0	238	294	381	675	143	241	10	6	303	91	—	—	—	—	—	—
2021	32	INTL	Aguilas Cibaenas	—	136	123	30	5	0	3	11	28	1	1	0	244	311	358	669	114	290	21	8	301	90	—	—	—	—	—	—
2022	33	INTL	Aguilas Cibaenas	—	21	19	5	2	0	0	2	4	0	0	0	263	333	368	702	105	333	19	10	318	101	—	—	—	—	—	—
2023	34	INTL	Caneros de los Mochis	—	47	43	8	2	0	1	4	8	0	0	0	186	255	302	558	116	206	17	9	255	58	—	—	—	—	—	—
2024	35	INTL	Dominican Republic	—	25	22	7	3	0	0	3	5	0	0	0	318	400	455	855	136	412	20	12	383	145	—	—	—	—	—	—
2025	36	INTL	Yaquis de Obregon	—	33	29	3	1	0	0	3	13	1	0	0	103	212	138	350	34	188	39	9	179	8	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	149	142	30	4	0	2	6	33	0	4	1	211	243	282	525	70	259	22	4	236	46	-10	+0	+2	-13	+3	-1.7
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2006	17	ROK MLE	DSL Yankees 1	—	224	202	27	4	2	3	20	63	1	4	3	134	215	218	433	84	171	28	9	194	17	—	—	—	—	—	—
2007	18	ROK MLE	GCL Yankees	—	205	193	39	8	1	2	6	50	2	2	2	202	234	285	519	83	256	24	3	227	40	—	—	—	—	—	—
2008	19	ROK MLE	GCL Yankees	—	200	185	34	5	1	4	8	50	2	3	0	184	226	286	512	103	212	25	4	218	34	—	—	—	—	—	—
2010	21	A+ MLE	Tampa Yankees	—	264	247	56	10	2	3	14	93	0	8	1	227	268	320	588	93	337	35	5	259	61	—	—	—	—	—	—
2010	21	A MLE	Charleston RiverDogs	—	255	234	58	11	2	9	14	83	2	7	6	248	296	427	723	179	324	33	5	303	91	—	—	—	—	—	—
2011	22	AA MLE	Trenton Thunder	—	191	179	44	10	1	3	10	57	1	4	1	246	289	363	653	117	330	30	5	276	73	—	—	—	—	—	—
2011	22	A+ MLE	Tampa Yankees	—	296	267	70	15	2	11	23	82	2	14	4	262	325	457	782	195	325	28	8	339	116	—	—	—	—	—	—
2012	23	AA MLE	Trenton Thunder	—	451	427	109	19	1	17	17	127	4	15	4	255	290	424	714	169	316	28	4	305	93	—	—	—	—	—	—
2013	24	MLB MLE	New York Yankees	—	113	106	25	4	0	1	6	19	0	3	1	236	277	302	579	66	276	17	5	260	62	-5	+0	+1	-6	+2	-0.8
2013	24	AAA MLE	Scranton/Wilkes-Barre RailRiders	—	293	268	78	11	1	5	21	56	1	4	1	291	345	396	740	104	341	19	7	327	107	—	—	—	—	—	—
2014	25	MLB MLE	New York Yankees	—	36	36	5	0	0	1	0	14	0	1	0	139	139	222	361	83	190	39	0	155	-9	-5	+0	+1	-7	+1	-1.0
2014	25	AAA MLE	Scranton/Wilkes-Barre RailRiders	—	454	430	99	16	1	14	20	130	2	6	4	230	268	370	637	140	292	29	4	276	73	—	—	—	—	—	—
2016	27	AAA MLE	Sultanes de Monterrey	—	458	431	101	17	1	13	24	96	1	1	2	234	276	369	645	135	272	21	5	284	78	—	—	—	—	—	—
2017	28	AAA MLE	Sultanes de Monterrey	—	497	464	142	28	1	10	24	108	6	0	0	306	348	435	784	129	374	22	5	345	120	—	—	—	—	—	—
2006	17	ROK MLE	DSL Yankees 1	—	224	202	27	4	2	3	20	63	1	4	3	134	215	218	433	84	175	28	9	194	17	—	—	—	—	—	—
2006	17	ROK RAW	DSL Yankees 1	—	224	193	42	6	3	6	28	52	1	4	3	218	318	373	691	155	265	23	12	311	17	—	—	—	—	—	—
2007	18	ROK MLE	GCL Yankees	—	205	193	39	8	1	2	6	50	2	2	2	202	234	285	519	83	261	24	3	227	40	—	—	—	—	—	—
2007	18	ROK RAW	GCL Yankees	—	205	190	51	11	2	3	9	35	2	2	2	268	308	395	703	126	314	17	4	307	40	—	—	—	—	—	—
2008	19	ROK MLE	GCL Yankees	—	200	185	34	5	1	4	8	50	2	3	0	184	226	286	512	103	222	25	4	218	34	—	—	—	—	—	—
2008	19	ROK RAW	GCL Yankees	—	200	180	43	7	1	5	13	35	2	3	0	239	297	372	670	133	264	18	6	293	34	—	—	—	—	—	—
2010	21	A+ MLE	2 teams	—	519	481	113	21	4	11	28	176	2	15	7	235	280	364	644	129	341	34	5	281	76	—	—	—	—	—	—
2010	21	A+ RAW	2 teams	—	519	465	125	23	5	13	44	130	2	15	7	269	335	424	758	155	343	25	8	333	76	—	—	—	—	—	—
2011	22	A+ MLE	3 teams	—	524	481	122	26	4	15	35	150	3	18	6	254	308	418	726	164	333	29	7	314	99	—	—	—	—	—	—
2011	22	A+ RAW	3 teams	—	524	469	126	27	4	15	47	114	3	18	6	269	339	439	778	171	322	22	9	343	99	—	—	—	—	—	—
2012	23	AA MLE	Trenton Thunder	—	451	427	109	19	1	17	17	127	4	15	4	255	290	424	714	169	322	28	4	305	93	—	—	—	—	—	—
2012	23	AA RAW	Trenton Thunder	—	451	419	116	23	1	21	25	103	4	15	4	277	324	487	811	210	319	23	6	354	93	—	—	—	—	—	—
2013	24	AAA MLE	3 teams	—	587	542	149	21	2	9	40	108	1	13	4	275	326	371	697	96	326	18	7	308	95	—	—	—	—	—	—
2013	24	AAA RAW	3 teams	—	587	539	157	26	2	11	43	102	1	13	4	291	345	408	753	117	340	17	7	336	95	—	—	—	—	—	—
2014	25	AAA MLE	3 teams	—	642	612	137	21	1	20	26	188	2	7	5	224	258	359	617	136	288	29	4	267	67	—	—	—	—	—	—
2014	25	AAA RAW	3 teams	—	642	596	162	31	1	21	42	150	2	7	5	272	322	433	755	161	330	23	7	334	67	—	—	—	—	—	—
2015	26	INTL MLE	Dominican Republic	—	214	194	57	11	0	3	15	35	4	0	1	294	357	397	754	103	344	16	7	—	—	—	—	—	—	—	—
2015	26	INTL RAW	Dominican Republic	—	214	194	57	11	0	3	15	35	4	0	1	294	357	397	754	103	344	16	7	340	116	—	—	—	—	—	—
2016	27	AAA MLE	2 teams	—	652	610	145	25	1	19	35	137	4	2	3	238	284	375	659	138	276	21	5	284	78	—	—	—	—	—	—
2016	27	AAA RAW	2 teams	—	652	583	162	30	1	21	62	113	4	2	3	278	351	441	792	163	312	17	10	352	78	—	—	—	—	—	—
2017	28	AAA MLE	2 teams	—	682	637	195	38	1	14	33	148	8	1	0	306	348	435	783	129	378	22	5	345	120	—	—	—	—	—	—
2017	28	AAA RAW	2 teams	—	682	605	199	40	1	20	65	115	8	1	0	329	401	498	899	169	378	17	10	397	120	—	—	—	—	—	—
2018	29	INTL MLE	Aguilas Cibaenas	—	68	63	15	3	0	2	4	7	1	0	0	238	294	381	675	143	241	10	6	—	—	—	—	—	—	—	—
2018	29	INTL RAW	Aguilas Cibaenas	—	68	63	15	3	0	2	4	7	1	0	0	238	294	381	675	143	241	10	6	303	91	—	—	—	—	—	—
2021	32	INTL MLE	Aguilas Cibaenas	—	136	123	30	5	0	3	11	28	1	1	0	244	311	358	669	114	290	21	8	—	—	—	—	—	—	—	—
2021	32	INTL RAW	Aguilas Cibaenas	—	136	123	30	5	0	3	11	28	1	1	0	244	311	358	669	114	290	21	8	301	90	—	—	—	—	—	—
2022	33	INTL MLE	Aguilas Cibaenas	—	21	19	5	2	0	0	2	4	0	0	0	263	333	368	702	105	333	19	10	—	—	—	—	—	—	—	—
2022	33	INTL RAW	Aguilas Cibaenas	—	21	19	5	2	0	0	2	4	0	0	0	263	333	368	702	105	333	19	10	318	101	—	—	—	—	—	—
2023	34	INTL MLE	Caneros de los Mochis	—	47	43	8	2	0	1	4	8	0	0	0	186	255	302	558	116	206	17	9	—	—	—	—	—	—	—	—
2023	34	INTL RAW	Caneros de los Mochis	—	47	43	8	2	0	1	4	8	0	0	0	186	255	302	558	116	206	17	9	255	58	—	—	—	—	—	—
2024	35	INTL MLE	Dominican Republic	—	25	22	7	3	0	0	3	5	0	0	0	318	400	455	855	136	412	20	12	—	—	—	—	—	—	—	—
2024	35	INTL RAW	Dominican Republic	—	25	22	7	3	0	0	3	5	0	0	0	318	400	455	855	136	412	20	12	383	145	—	—	—	—	—	—
2025	36	INTL MLE	Yaquis de Obregon	—	33	29	3	1	0	0	3	13	1	0	0	103	212	138	350	34	188	39	9	—	—	—	—	—	—	—	—
2025	36	INTL RAW	Yaquis de Obregon	—	33	29	3	1	0	0	3	13	1	0	0	103	212	138	350	34	188	39	9	179	8	—	—	—	—	—	—
2006	17	ROK MLE	DSL Yankees 1	—	224	201	27	4	2	3	20	63	1	4	3	134	215	219	434	85	171	28	9	194	17	—	—	—	—	—	—
2007	18	ROK MLE	GCL Yankees	—	205	195	39	8	1	2	6	50	2	2	2	200	234	282	516	82	256	24	3	227	40	—	—	—	—	—	—
2008	19	ROK MLE	GCL Yankees	—	200	188	34	5	1	4	8	50	2	3	0	181	226	282	508	101	212	25	4	218	34	—	—	—	—	—	—
2010	21	A+ MLE	2 teams	—	519	484	113	21	4	11	28	176	2	15	7	233	280	362	641	128	331	34	5	281	76	—	—	—	—	—	—
2011	22	A+ MLE	3 teams	—	524	481	122	26	4	15	35	150	3	18	6	254	308	418	726	164	327	29	7	314	99	—	—	—	—	—	—
2012	23	AA MLE	Trenton Thunder	—	451	427	109	19	1	17	17	127	4	15	4	255	290	424	714	169	316	28	4	305	93	—	—	—	—	—	—
2013	24	AAA MLE	3 teams	—	587	541	149	21	2	9	40	108	1	13	4	275	326	372	697	96	323	18	7	308	95	—	—	—	—	—	—
2014	25	AAA MLE	3 teams	—	642	609	137	21	1	20	26	188	2	7	5	225	258	361	619	136	285	29	4	267	67	—	—	—	—	—	—
2016	27	AAA MLE	2 teams	—	652	608	145	25	1	19	35	137	4	2	3	238	284	377	660	138	272	21	5	284	78	—	—	—	—	—	—
2017	28	AAA MLE	2 teams	—	682	636	195	38	1	14	33	148	8	1	0	307	348	436	784	129	374	22	5	345	120	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	149	142	30	4	0	2	6	33	0	4	1	211	243	282	525	70	259	22	4	236	61	-10	+0	+2	-13	+3	-1.7
/ 162G	—	A+C		—	650	619	131	17	0	9	26	144	0	17	4	212	243	283	526	71	260	22	4	236	61	-42	+2	+9	-57	+14	-7.6
Career	—	MLE		—	5230	4863	1195	215	18	123	290	1297	36	81	35	246	293	373	666	127	308	25	6	259	61	-10	+0	+2	-13	+3	-1.7
/ 162G	—	MLE		—	650	604	148	27	2	15	36	161	4	10	4	245	291	371	662	126	308	25	6	259	61	-42	+2	+9	-57	+14	-7.6

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.

2017 AAASultanes de Monterrey · 497 PAwOBA .408 → .345 (−63)K% 17.1% → 21.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.10%	÷0.946	×1.200	—	—	21.69%
BB% (unintentional) /PA	7.65%	÷1.060	×0.690	—	×0.992	4.94%
HBP% /PA	1.21%	—	×0.940	—	×0.992	1.13%
Singles /BIP	30.25%	÷0.978	×0.930	×1.007	×0.992	28.74%
Doubles /BIP	9.24%	÷0.992	×0.830	×1.007	×0.992	7.72%
Triples /BIP	0.28%	÷1.150	×0.920	×1.007	×0.992	0.22%
Home runs /BIP	4.20%	÷1.043	×0.700	—	×0.992	2.80%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 109, 1B 96, 2B 98, 3B 130, K 89, BB 112 — 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 ×1.007.

Result: wOBA .408 → .345; ISO .181 → .135; BABIP .412 → .374. 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 AAASultanes de Monterrey · 458 PAwOBA .357 → .284 (−72)K% 16.8% → 21.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.81%	÷0.961	×1.200	—	—	20.99%
BB% (unintentional) /PA	8.52%	÷1.118	×0.690	—	×1.003	5.27%
HBP% /PA	0.22%	—	×0.940	—	×1.003	0.21%
Singles /BIP	22.85%	÷1.036	×0.930	×1.016	×1.003	20.90%
Doubles /BIP	5.93%	÷0.979	×0.830	×1.016	×1.003	5.13%
Triples /BIP	0.30%	÷0.900	×0.920	×1.016	×1.003	0.31%
Home runs /BIP	5.93%	÷1.051	×0.700	—	×1.003	3.96%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 110, 1B 107, 2B 96, 3B 80, K 92, BB 124 — 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 ×1.016.

Result: wOBA .357 → .284; ISO .198 → .143; BABIP .307 → .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).

2014 AAAScranton/Wilkes-Barre RailRiders · 454 PAwOBA .321 → .276 (−45)K% 23.1% → 28.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.13%	÷0.970	×1.200	—	—	28.62%
BB% (unintentional) /PA	5.95%	÷0.985	×0.690	—	×1.033	4.30%
HBP% /PA	0.44%	—	×0.940	—	×1.033	0.43%
Singles /BIP	23.10%	÷0.984	×0.930	×0.999	×1.033	22.53%
Doubles /BIP	5.70%	÷0.936	×0.830	×0.999	×1.033	5.21%
Triples /BIP	0.32%	÷0.954	×0.970	×0.999	×1.033	0.33%
Home runs /BIP	5.70%	÷1.067	×0.840	—	×1.033	4.63%

Factors used: league row IL. Park (home-season share, regressed): HR 113, 1B 97, 2B 87, 3B 91, K 94, BB 97 — 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 ×0.999.

Result: wOBA .321 → .276; ISO .176 → .142; BABIP .307 → .292. 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 AAAScranton/Wilkes-Barre RailRiders · 293 PAwOBA .348 → .327 (−21)K% 16.0% → 19.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.04%	÷1.010	×1.200	—	—	19.05%
BB% (unintentional) /PA	10.24%	÷1.015	×0.690	—	×1.048	7.29%
HBP% /PA	0.34%	—	×0.940	—	×1.048	0.34%
Singles /BIP	27.36%	÷0.971	×0.930	×1.031	×1.048	28.30%
Doubles /BIP	5.66%	÷1.026	×0.830	×1.031	×1.048	4.95%
Triples /BIP	0.47%	÷1.000	×0.970	×1.031	×1.048	0.49%
Home runs /BIP	2.83%	÷0.976	×0.840	—	×1.048	2.55%

Factors used: league row IL. Park (home-season share, regressed): HR 95, 1B 94, 2B 105, 3B 100, K 102, BB 103 — 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 ×1.031.

Result: wOBA .348 → .327; ISO .124 → .113; BABIP .340 → .341. 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 AATrenton Thunder · 451 PAwOBA .344 → .305 (−39)K% 22.8% → 28.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.84%	÷0.990	×1.220	—	—	28.15%
BB% (unintentional) /PA	5.10%	÷0.955	×0.700	—	×1.027	3.84%
HBP% /PA	0.89%	—	×0.850	—	×1.027	0.77%
Singles /BIP	22.47%	÷0.980	×0.970	×1.033	×1.027	23.59%
Doubles /BIP	7.28%	÷1.058	×0.860	×1.033	×1.027	6.28%
Triples /BIP	0.32%	÷0.900	×0.950	×1.033	×1.027	0.35%
Home runs /BIP	6.65%	÷0.975	×0.780	—	×1.027	5.46%

Factors used: league row EL. Park (home-season share, regressed): HR 95, 1B 96, 2B 112, 3B 80, K 98, BB 91 — 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 ×1.033.

Result: wOBA .344 → .305; ISO .210 → .169; BABIP .319 → .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).

2011 A+Tampa Yankees · 296 PAwOBA .377 → .339 (−38)K% 20.3% → 27.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.27%	÷1.034	×1.420	—	—	27.84%
BB% (unintentional) /PA	9.80%	÷0.950	×0.750	—	×1.012	7.83%
HBP% /PA	0.68%	—	×0.930	—	×1.012	0.64%
Singles /BIP	23.12%	÷0.978	×0.920	×1.011	×1.012	22.25%
Doubles /BIP	7.54%	÷0.962	×0.960	×1.011	×1.012	7.70%
Triples /BIP	1.51%	÷0.971	×0.810	×1.011	×1.012	1.29%
Home runs /BIP	6.03%	÷0.911	×0.880	—	×1.012	5.90%

Factors used: league row FSL. Park (home-season share, regressed): HR 82, 1B 96, 2B 92, 3B 94, K 107, BB 90 — 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 .377 → .339; ISO .220 → .204; BABIP .335 → .325. 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 AATrenton Thunder · 191 PAwOBA .301 → .276 (−25)K% 23.6% → 29.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.56%	÷0.965	×1.220	—	—	29.79%
BB% (unintentional) /PA	7.33%	÷1.039	×0.700	—	×1.042	5.15%
HBP% /PA	0.52%	—	×0.850	—	×1.042	0.46%
Singles /BIP	22.31%	÷0.982	×0.970	×1.045	×1.042	24.00%
Doubles /BIP	8.46%	÷1.017	×0.860	×1.045	×1.042	7.79%
Triples /BIP	0.77%	÷1.150	×0.950	×1.045	×1.042	0.69%
Home runs /BIP	2.31%	÷0.809	×0.780	—	×1.042	2.32%

Factors used: league row EL. Park (home-season share, regressed): HR 62, 1B 96, 2B 103, 3B 130, K 93, BB 108 — 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 ×1.045.

Result: wOBA .301 → .276; ISO .126 → .114; BABIP .320 → .330. 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+Tampa Yankees · 264 PAwOBA .300 → .259 (−42)K% 24.6% → 35.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.62%	÷0.996	×1.420	—	—	35.09%
BB% (unintentional) /PA	7.58%	÷1.094	×0.750	—	×1.027	5.33%
HBP% /PA	0.00%	—	×0.930	—	×1.027	0.00%
Singles /BIP	26.59%	÷1.012	×0.920	×1.050	×1.027	26.06%
Doubles /BIP	5.78%	÷0.932	×0.960	×1.050	×1.027	6.42%
Triples /BIP	1.73%	÷1.150	×0.810	×1.050	×1.027	1.32%
Home runs /BIP	1.73%	÷0.965	×0.880	—	×1.027	1.62%

Factors used: league row FSL. Park (home-season share, regressed): HR 93, 1B 102, 2B 86, 3B 130, K 99, BB 119 — 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 .300 → .259; ISO .105 → .092; BABIP .341 → .337. 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 — .