Eury Pérez

PosLF

B/TR/R

Born1990-05-30

Age (2027)37

No MLB projection yet. Career stats below are historical.

Overview

INTLLAST SEASON 2022

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2018	28	AAA/INTL2 orgs	231	.289/.336/.417	2	12	96	—	.260/.289/.356
2019	29	AAAOlmecas de Ta…	140	.357/.413/.468	1	2	105	—	.308/.348/.408
2022	32	INTLGigantes del …	30	.241/.267/.276	0	3	53	—

Contract

No contract data on file.

Scouting grades · 20-80

Power33Speed74Eye45

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)
2007	17	ROK	DSL Nationals 1	—	200	158	40	5	1	0	32	39	7	15	5	253	401	297	698	44	333	20	16	331	45	—	—	—	—	—	—
2008	18	ROK	DSL Nationals 1	—	267	218	70	9	2	4	32	37	9	28	6	321	429	436	864	115	367	14	12	381	61	—	—	—	—	—	—
2009	19	ROK	GCL Nationals	—	205	181	69	3	5	3	15	20	5	16	8	381	443	503	946	122	418	10	7	414	109	—	—	—	—	—	—
2010	20	A	Hagerstown Suns	—	491	438	131	17	5	3	23	74	8	64	13	299	345	381	727	82	354	15	5	314	86	—	—	—	—	—	—
2010	20	INTL	Leones del Escogido	—	127	116	40	3	1	0	5	21	5	21	4	345	397	388	785	43	421	17	4	356	127	—	—	—	—	—	—
2011	21	A+	Potomac Nationals	—	465	424	120	9	2	1	22	63	3	45	15	283	323	321	644	38	326	14	5	284	63	—	—	—	—	—	—
2011	21	INTL	Leones del Escogido	—	138	115	32	2	1	0	15	22	2	14	6	278	371	313	684	35	344	16	11	307	94	—	—	—	—	—	—
2012	22	AAA	Syracuse Chiefs	—	173	159	53	7	1	0	8	26	2	20	5	333	373	390	763	57	398	15	5	337	105	—	—	—	—	—	—
2012	22	AA	Harrisburg Senators	—	373	351	105	11	2	0	7	53	7	26	10	299	326	342	668	43	351	14	2	297	92	—	—	—	—	—	—
2012	22	ROK	GCL Nationals	—	23	22	9	1	0	0	1	0	0	5	0	409	435	455	889	45	409	0	4	401	93	—	—	—	—	—	—
2012	22	INTL	Leones del Escogido	—	94	86	19	2	1	0	3	16	1	2	2	221	256	267	523	47	271	17	3	229	41	—	—	—	—	—	—
2013	23	AAA	Syracuse Chiefs	—	433	403	121	18	5	7	13	64	9	23	8	300	336	422	758	122	343	15	3	332	98	—	—	—	—	—	—
2013	23	INTL	Leones del Escogido	—	56	49	10	0	0	1	4	8	2	5	0	204	291	265	556	61	225	14	7	259	61	—	—	—	—	—	—
2014	24	AAA	Syracuse Chiefs	—	238	212	66	13	2	1	13	35	8	20	3	311	373	406	779	94	367	15	5	345	95	—	—	—	—	—	—
2014	24	A+	Potomac Nationals	—	33	28	9	1	0	1	3	4	0	6	1	321	387	464	851	143	348	12	9	357	97	—	—	—	—	—	—
2014	24	INTL	Leones del Escogido	—	95	93	18	3	0	1	0	21	1	0	2	194	202	258	460	65	239	22	0	204	24	—	—	—	—	—	—
2015	25	MLB	Atlanta Braves	—	133	119	32	4	0	0	7	23	4	3	1	269	331	303	633	34	333	17	5	288	76	-4	+0	-1	-5	+3	-0.6
2015	25	AAA	Gwinnett Braves	—	271	236	70	8	2	2	22	39	6	28	8	297	371	373	744	76	347	14	8	332	94	—	—	—	—	—	—
2015	25	INTL	Dominican Republic	—	58	55	13	2	0	0	1	8	0	1	0	236	250	273	523	36	277	14	2	228	40	—	—	—	—	—	—
2016	26	AAA	Durham Bulls	—	245	223	57	6	5	2	10	43	3	20	6	256	297	354	651	99	309	18	4	281	62	—	—	—	—	—	—
2016	26	INTL	Leones del Escogido	—	85	69	14	3	0	0	10	15	1	5	0	203	312	246	559	43	250	18	12	253	57	—	—	—	—	—	—
2017	27	AAA	New Orleans Baby Cakes	—	270	238	84	15	3	1	17	40	5	31	8	353	408	454	861	101	417	15	6	372	112	—	—	—	—	—	—
2017	27	INTL	Leones del Escogido	—	64	58	10	1	0	0	2	11	0	3	0	172	200	190	390	17	200	17	3	169	1	—	—	—	—	—	—
2018	28	AAA	Sacramento River Cats	—	157	144	38	7	2	1	7	19	1	8	3	264	303	361	664	97	296	12	4	288	63	—	—	—	—	—	—
2018	28	INTL	Yaquis de Obregon	—	74	67	23	6	2	1	5	15	2	4	2	343	405	537	943	194	431	20	7	414	166	—	—	—	—	—	—
2019	29	AAA	Olmecas de Tabasco	—	140	126	45	9	1	1	10	20	2	2	1	357	413	468	881	111	419	14	7	389	105	—	—	—	—	—	—
2022	32	INTL	Gigantes del Cibao	—	30	29	7	1	0	0	1	6	0	3	2	241	267	276	543	34	304	20	3	247	53	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	133	119	32	4	0	0	7	23	4	3	1	269	331	303	633	34	333	17	5	288	81	-3	+0	-1	-5	+3	-0.6
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2007	17	ROK MLE	DSL Nationals 1	—	200	167	29	3	1	0	23	48	7	15	5	174	299	204	503	30	230	24	12	234	45	—	—	—	—	—	—
2008	18	ROK MLE	DSL Nationals 1	—	267	230	49	6	1	2	20	45	9	28	6	213	301	274	575	61	242	17	7	258	61	—	—	—	—	—	—
2009	19	ROK MLE	GCL Nationals	—	205	187	59	2	4	2	9	29	5	16	8	316	363	401	764	86	356	14	4	330	109	—	—	—	—	—	—
2010	20	A MLE	Hagerstown Suns	—	491	444	132	16	6	2	17	96	8	64	13	297	335	374	709	77	351	20	3	296	86	—	—	—	—	—	—
2011	21	A+ MLE	Potomac Nationals	—	465	432	117	8	2	1	14	92	3	45	15	271	298	306	604	35	322	20	3	261	63	—	—	—	—	—	—
2012	22	AAA MLE	Syracuse Chiefs	—	173	161	53	6	1	0	6	32	2	20	5	329	361	379	740	50	406	18	3	323	105	—	—	—	—	—	—
2012	22	AA MLE	Harrisburg Senators	—	373	353	114	11	2	0	5	64	7	26	10	323	345	365	711	42	380	17	1	304	92	—	—	—	—	—	—
2012	22	ROK MLE	GCL Nationals	—	23	22	8	1	0	0	1	0	0	5	0	364	391	409	800	45	323	0	4	306	93	—	—	—	—	—	—
2013	23	AAA MLE	Syracuse Chiefs	—	433	406	120	16	5	7	10	78	9	23	8	296	327	411	738	116	343	18	2	313	98	—	—	—	—	—	—
2014	24	AAA MLE	Syracuse Chiefs	—	238	215	62	11	2	1	10	44	8	20	3	288	343	372	715	84	346	18	4	309	95	—	—	—	—	—	—
2014	24	A+ MLE	Potomac Nationals	—	33	29	9	1	0	1	2	6	0	6	1	310	355	448	803	138	312	18	6	311	97	—	—	—	—	—	—
2015	25	MLB MLE	Atlanta Braves	—	133	120	32	4	0	0	6	23	4	3	1	267	323	300	623	33	333	17	5	281	76	-4	+0	-1	-5	+3	-0.6
2015	25	AAA MLE	Gwinnett Braves	—	271	244	71	7	2	2	14	50	6	28	8	291	345	361	705	70	347	18	5	307	94	—	—	—	—	—	—
2016	26	AAA MLE	Durham Bulls	—	245	227	56	5	6	1	6	52	3	20	6	247	275	335	610	88	302	21	2	260	62	—	—	—	—	—	—
2017	27	AAA MLE	New Orleans Baby Cakes	—	270	244	80	14	3	1	11	53	5	31	8	328	369	422	791	94	388	20	4	334	112	—	—	—	—	—	—
2018	28	AAA MLE	Sacramento River Cats	—	157	146	38	7	2	1	5	23	1	8	3	260	289	356	646	96	281	15	3	262	63	—	—	—	—	—	—
2019	29	AAA MLE	Olmecas de Tabasco	—	140	130	40	8	1	1	6	24	2	2	1	308	348	408	756	100	365	17	4	323	105	—	—	—	—	—	—
2007	17	ROK MLE	DSL Nationals 1	—	200	167	29	3	1	0	23	48	7	15	5	174	299	204	503	30	242	24	12	234	45	—	—	—	—	—	—
2007	17	ROK RAW	DSL Nationals 1	—	200	158	40	5	1	0	32	39	7	15	5	253	401	297	698	44	333	20	16	331	45	—	—	—	—	—	—
2008	18	ROK MLE	DSL Nationals 1	—	267	230	49	6	1	2	20	45	9	28	6	213	301	274	575	61	253	17	7	258	61	—	—	—	—	—	—
2008	18	ROK RAW	DSL Nationals 1	—	267	218	70	9	2	4	32	37	9	28	6	321	429	436	864	115	367	14	12	381	61	—	—	—	—	—	—
2009	19	ROK MLE	GCL Nationals	—	205	187	59	2	4	2	9	29	5	16	8	316	363	401	764	86	365	14	4	330	109	—	—	—	—	—	—
2009	19	ROK RAW	GCL Nationals	—	205	181	69	3	5	3	15	20	5	16	8	381	443	503	946	122	418	10	7	414	109	—	—	—	—	—	—
2010	20	A MLE	2 teams	—	618	561	166	20	7	3	21	121	13	85	17	296	336	373	709	77	372	20	3	296	86	—	—	—	—	—	—
2010	20	A RAW	2 teams	—	618	554	171	20	6	3	28	95	13	85	17	309	356	383	739	74	368	15	5	322	86	—	—	—	—	—	—
2011	21	A+ MLE	2 teams	—	603	558	151	10	2	1	18	119	5	59	21	271	299	301	601	30	339	20	3	261	63	—	—	—	—	—	—
2011	21	A+ RAW	2 teams	—	603	539	152	11	3	1	37	85	5	59	21	282	334	319	653	37	330	14	6	289	63	—	—	—	—	—	—
2012	22	AA MLE	4 teams	—	663	623	204	21	4	0	14	112	10	53	17	327	352	374	726	47	398	17	2	310	96	—	—	—	—	—	—
2012	22	AA RAW	4 teams	—	663	618	186	21	4	0	19	95	10	53	17	301	332	348	680	47	355	14	3	301	96	—	—	—	—	—	—
2013	23	AAA MLE	2 teams	—	489	458	137	19	6	8	11	89	11	28	8	299	331	419	750	120	357	18	2	313	98	—	—	—	—	—	—
2013	23	AAA RAW	2 teams	—	489	452	131	18	5	8	17	72	11	28	8	290	331	405	736	115	331	15	3	324	98	—	—	—	—	—	—
2014	24	AAA MLE	3 teams	—	366	333	95	16	3	2	16	67	9	26	6	285	335	369	705	84	351	18	4	309	95	—	—	—	—	—	—
2014	24	AAA RAW	3 teams	—	366	333	93	17	2	3	16	60	9	26	6	279	330	369	699	90	332	16	4	310	95	—	—	—	—	—	—
2015	25	AAA MLE	3 teams	—	462	417	118	13	2	2	23	83	10	32	9	283	336	338	674	55	348	18	5	298	88	—	—	—	—	—	—
2015	25	AAA RAW	3 teams	—	462	410	115	14	2	2	30	70	10	32	9	280	344	339	683	59	333	15	6	306	88	—	—	—	—	—	—
2016	26	AAA MLE	2 teams	—	330	303	76	7	8	2	9	70	4	25	6	251	282	347	628	96	318	21	3	260	62	—	—	—	—	—	—
2016	26	AAA RAW	2 teams	—	330	292	71	9	5	2	20	58	4	25	6	243	301	329	629	86	295	18	6	274	62	—	—	—	—	—	—
2017	27	AAA MLE	2 teams	—	334	302	98	18	3	1	13	66	5	34	8	325	362	414	776	89	404	20	4	334	112	—	—	—	—	—	—
2017	27	AAA RAW	2 teams	—	334	296	94	16	3	1	19	51	5	34	8	318	369	402	771	84	373	15	6	333	112	—	—	—	—	—	—
2018	28	AAA MLE	2 teams	—	231	216	54	10	2	1	7	34	3	12	5	250	283	329	612	79	291	15	3	262	63	—	—	—	—	—	—
2018	28	AAA RAW	2 teams	—	231	211	61	13	4	2	12	34	3	12	5	289	336	417	753	128	335	15	5	329	63	—	—	—	—	—	—
2019	29	AAA MLE	Olmecas de Tabasco	—	140	130	40	8	1	1	6	24	2	2	1	308	348	408	756	100	371	17	4	323	105	—	—	—	—	—	—
2019	29	AAA RAW	Olmecas de Tabasco	—	140	126	45	9	1	1	10	20	2	2	1	357	413	468	881	111	419	14	7	389	105	—	—	—	—	—	—
2022	32	INTL MLE	Gigantes del Cibao	—	30	29	7	1	0	0	1	6	0	3	2	241	267	276	543	34	304	20	3	—	—	—	—	—	—	—	—
2022	32	INTL RAW	Gigantes del Cibao	—	30	29	7	1	0	0	1	6	0	3	2	241	267	276	543	34	304	20	3	247	53	—	—	—	—	—	—
2007	17	ROK MLE	DSL Nationals 1	—	200	168	29	3	1	0	23	48	7	15	5	173	299	202	502	30	230	24	12	234	45	—	—	—	—	—	—
2008	18	ROK MLE	DSL Nationals 1	—	267	236	49	6	1	2	20	45	9	28	6	208	301	267	568	59	242	17	7	258	61	—	—	—	—	—	—
2009	19	ROK MLE	GCL Nationals	—	205	189	59	2	4	2	9	29	5	16	8	312	363	397	760	85	356	14	4	330	109	—	—	—	—	—	—
2010	20	A MLE	2 teams	—	618	579	166	20	7	3	21	121	13	85	17	287	336	361	697	74	351	20	3	296	86	—	—	—	—	—	—
2011	21	A+ MLE	2 teams	—	603	575	151	10	2	1	18	119	5	59	21	263	299	292	592	30	322	20	3	261	63	—	—	—	—	—	—
2012	22	AA MLE	4 teams	—	663	634	204	21	4	0	14	112	10	53	17	322	352	368	720	46	386	17	2	310	96	—	—	—	—	—	—
2013	23	AAA MLE	2 teams	—	489	464	137	19	6	8	11	89	11	28	8	295	331	414	745	119	343	18	2	313	98	—	—	—	—	—	—
2014	24	AAA MLE	3 teams	—	366	338	95	16	3	2	16	67	9	26	6	281	335	364	699	83	342	18	4	309	95	—	—	—	—	—	—
2015	25	AAA MLE	3 teams	—	462	426	118	13	2	2	23	83	10	32	9	277	336	331	667	54	343	18	5	298	88	—	—	—	—	—	—
2016	26	AAA MLE	2 teams	—	330	314	76	7	8	2	9	70	4	25	6	242	282	334	616	92	302	21	3	260	62	—	—	—	—	—	—
2017	27	AAA MLE	2 teams	—	334	313	98	18	3	1	13	66	5	34	8	313	362	399	762	86	388	20	4	334	112	—	—	—	—	—	—
2018	28	AAA MLE	2 teams	—	231	219	54	10	2	1	7	34	3	12	5	247	283	324	607	78	281	15	3	262	63	—	—	—	—	—	—
2019	29	AAA MLE	Olmecas de Tabasco	—	140	131	40	8	1	1	6	24	2	2	1	305	348	405	752	99	365	17	4	323	105	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	133	119	32	4	0	0	7	23	4	3	1	269	331	303	633	34	333	17	5	288	83	-3	+0	-1	-5	+3	-0.6
/ 162G	—	A+C		—	650	582	157	20	0	0	34	112	20	15	5	270	332	304	636	34	334	17	5	288	83	-15	+1	-3	-24	+14	-2.7
Career	—	MLE		—	4938	4514	1283	154	44	25	191	913	93	418	119	284	327	354	681	70	350	18	4	291	83	-3	+0	-1	-5	+3	-0.6
/ 162G	—	MLE		—	650	594	169	20	6	3	25	120	12	55	16	285	326	354	680	69	350	18	4	291	83	-15	+1	-3	-24	+14	-2.7

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.

2019 AAAOlmecas de Tabasco · 140 PAwOBA .379 → .323 (−56)K% 14.3% → 17.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.29%	÷0.994	×1.200	—	—	17.24%
BB% (unintentional) /PA	7.14%	÷1.078	×0.690	—	×0.982	4.49%
HBP% /PA	1.43%	—	×0.940	—	×0.982	1.32%
Singles /BIP	32.08%	÷1.056	×0.930	—	×0.982	27.74%
Doubles /BIP	8.49%	÷0.900	×0.830	—	×0.982	7.69%
Triples /BIP	0.94%	÷1.057	×0.920	—	×0.982	0.81%
Home runs /BIP	0.94%	÷0.865	×0.700	—	×0.982	0.75%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 73, 1B 111, 2B 80, 3B 111, K 99, BB 116 — 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 .379 → .323; ISO .111 → .099; BABIP .419 → .365. 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 · 157 PAwOBA .282 → .262 (−20)K% 12.1% → 14.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.10%	÷1.071	×1.290	—	—	14.57%
BB% (unintentional) /PA	4.46%	÷1.043	×0.710	—	×0.992	3.01%
HBP% /PA	0.64%	—	×0.980	—	×0.992	0.62%
Singles /BIP	22.40%	÷0.963	×0.900	×1.050	×0.992	21.80%
Doubles /BIP	5.60%	÷0.910	×0.810	×1.050	×0.992	5.19%
Triples /BIP	1.60%	÷1.150	×0.810	×1.050	×0.992	1.17%
Home runs /BIP	0.80%	÷0.998	×0.780	—	×0.992	0.62%

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 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 ×1.050.

Result: wOBA .282 → .262; ISO .097 → .084; BABIP .296 → .281. 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 AAANew Orleans Baby Cakes · 270 PAwOBA .363 → .334 (−29)K% 14.8% → 19.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.81%	÷0.971	×1.290	—	—	19.68%
BB% (unintentional) /PA	5.56%	÷1.005	×0.710	—	×1.003	3.94%
HBP% /PA	1.85%	—	×0.980	—	×1.003	1.82%
Singles /BIP	32.83%	÷1.015	×0.900	×1.050	×1.003	30.66%
Doubles /BIP	7.58%	÷0.918	×0.810	×1.050	×1.003	7.04%
Triples /BIP	1.52%	÷0.977	×0.810	×1.050	×1.003	1.32%
Home runs /BIP	0.51%	÷0.928	×0.780	—	×1.003	0.43%

Factors used: league row PCL. Park (home-season share, regressed): HR 86, 1B 103, 2B 84, 3B 95, K 94, BB 101 — 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 ×1.050.

Result: wOBA .363 → .334; ISO .101 → .093; BABIP .417 → .388. 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 AAADurham Bulls · 245 PAwOBA .274 → .260 (−14)K% 17.6% → 21.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.55%	÷0.994	×1.200	—	—	21.19%
BB% (unintentional) /PA	4.08%	÷1.082	×0.690	—	×1.018	2.65%
HBP% /PA	1.22%	—	×0.940	—	×1.018	1.17%
Singles /BIP	24.44%	÷1.010	×0.930	×1.049	×1.018	24.03%
Doubles /BIP	3.33%	÷1.093	×0.830	×1.049	×1.018	2.70%
Triples /BIP	2.78%	÷0.900	×0.970	×1.049	×1.018	3.20%
Home runs /BIP	1.11%	÷1.167	×0.840	—	×1.018	0.81%

Factors used: league row IL. Park (home-season share, regressed): HR 133, 1B 102, 2B 119, 3B 80, K 99, BB 116 — 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 ×1.049.

Result: wOBA .274 → .260; ISO .099 → .095; BABIP .309 → .302. 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 AAAGwinnett Braves · 271 PAwOBA .325 → .307 (−17)K% 14.4% → 18.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.39%	÷0.940	×1.200	—	—	18.36%
BB% (unintentional) /PA	8.12%	÷1.103	×0.690	—	×1.033	5.25%
HBP% /PA	2.21%	—	×0.940	—	×1.033	2.15%
Singles /BIP	29.44%	÷0.996	×0.930	×1.050	×1.033	29.81%
Doubles /BIP	4.06%	÷0.988	×0.830	×1.050	×1.033	3.70%
Triples /BIP	1.02%	÷0.988	×0.970	×1.050	×1.033	1.08%
Home runs /BIP	1.02%	÷1.014	×0.840	—	×1.033	0.87%

Factors used: league row IL. Park (home-season share, regressed): HR 103, 1B 99, 2B 98, 3B 98, K 88, BB 121 — 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 ×1.050.

Result: wOBA .325 → .307; ISO .076 → .072; BABIP .347 → .347. 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 AAASyracuse Chiefs · 238 PAwOBA .338 → .309 (−28)K% 14.7% → 18.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.71%	÷0.965	×1.200	—	—	18.28%
BB% (unintentional) /PA	5.46%	÷0.972	×0.690	—	×1.048	4.06%
HBP% /PA	3.36%	—	×0.940	—	×1.048	3.31%
Singles /BIP	28.25%	÷1.003	×0.930	×0.995	×1.048	27.32%
Doubles /BIP	7.34%	÷1.027	×0.830	×0.995	×1.048	6.19%
Triples /BIP	1.13%	÷1.063	×0.970	×0.995	×1.048	1.08%
Home runs /BIP	0.56%	÷0.985	×0.840	—	×1.048	0.51%

Factors used: league row IL. Park (home-season share, regressed): HR 97, 1B 101, 2B 105, 3B 113, K 93, BB 94 — 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 ×0.995.

Result: wOBA .338 → .309; ISO .094 → .082; BABIP .367 → .346. 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 A+Potomac Nationals · 33 PAwOBA .348 → .311 (−37)K% 12.1% → 17.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.12%	÷0.996	×1.420	—	—	17.28%
BB% (unintentional) /PA	9.09%	÷0.943	×0.630	—	×0.988	6.00%
HBP% /PA	0.00%	—	×0.860	—	×0.988	0.00%
Singles /BIP	29.17%	÷1.012	×0.940	—	×0.988	26.77%
Doubles /BIP	4.17%	÷1.037	×0.830	—	×0.988	3.30%
Triples /BIP	0.00%	÷1.150	×0.800	—	×0.988	0.00%
Home runs /BIP	4.17%	÷0.988	×0.900	—	×0.988	3.75%

Factors used: league row CAR. Park (home-season share, regressed): HR 98, 1B 102, 2B 107, 3B 130, K 99, BB 89 — applied at half strength. Age: age 24 vs a level average of 22.8 → −1.2% on BB/HBP/hit rates (1.2 yr older than average).

Result: wOBA .348 → .311; ISO .143 → .132; BABIP .348 → .312. 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 AAASyracuse Chiefs · 433 PAwOBA .323 → .313 (−10)K% 14.8% → 18.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.78%	÷0.979	×1.200	—	—	18.13%
BB% (unintentional) /PA	3.00%	÷0.966	×0.690	—	×1.050	2.25%
HBP% /PA	2.08%	—	×0.940	—	×1.050	2.05%
Singles /BIP	26.84%	÷0.991	×0.930	×1.032	×1.050	27.29%
Doubles /BIP	5.31%	÷0.979	×0.830	×1.032	×1.050	4.88%
Triples /BIP	1.47%	÷1.055	×0.970	×1.032	×1.050	1.47%
Home runs /BIP	2.06%	÷0.914	×0.840	—	×1.050	1.99%

Factors used: league row IL. Park (home-season share, regressed): HR 83, 1B 98, 2B 96, 3B 111, K 96, BB 93 — 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 ×1.032.

Result: wOBA .323 → .313; ISO .122 → .115; BABIP .343 → .343. 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 — .