Jordany Valdespin

Pos2B

B/TL/R

Born1987-12-23

Age (2027)39

No MLB projection yet. Career stats below are historical.

Overview

INTLLAST SEASON 2022

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	SB	wRC+	WAR
2020	32	INTLToros del Este	22	.227/.227/.273	1	37	—
2021	33	INTLDominican Rep…	54	.267/.377/.400	0	120	—
2022	34	INTLLeones del Es…	31	.069/.129/.069	0	-44	—

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)
2007	19	ROK	DSL Mets	—	168	139	34	4	3	1	24	26	4	8	4	245	371	338	709	94	292	15	14	329	33	—	—	—	—	—	—
2008	20	ROK	GCL Mets	—	145	134	38	6	3	3	7	10	1	9	2	284	324	440	764	157	285	7	5	331	53	—	—	—	—	—	—
2009	21	A	Savannah Sand Gnats	—	164	152	49	9	3	3	11	32	0	7	2	322	368	480	848	158	390	20	7	372	91	—	—	—	—	—	—
2009	21	ROK	GCL Mets	—	43	38	9	0	2	0	4	4	0	2	1	237	310	342	652	105	257	9	9	287	31	—	—	—	—	—	—
2010	22	AA	Binghamton Mets	—	117	112	26	8	0	0	2	23	0	4	2	232	246	304	549	71	289	20	2	239	34	—	—	—	—	—	—
2010	22	A+	St. Lucie Mets	—	288	270	78	16	3	6	8	45	6	13	10	289	324	437	761	148	327	16	3	333	80	—	—	—	—	—	—
2010	22	INTL	Tigres del Licey	—	99	94	31	3	1	1	5	16	0	8	0	330	364	415	779	85	390	16	5	349	122	—	—	—	—	—	—
2011	23	AAA	Buffalo Bisons	—	113	107	30	8	0	2	4	25	0	4	4	280	306	411	718	131	346	22	4	313	78	—	—	—	—	—	—
2011	23	AA	Binghamton Mets	—	441	404	120	24	3	15	21	68	7	33	14	297	343	483	825	186	325	15	5	357	101	—	—	—	—	—	—
2011	23	INTL	Tigres del Licey	—	116	107	27	3	3	0	7	17	1	10	3	252	304	336	641	84	300	15	6	287	81	—	—	—	—	—	—
2012	24	MLB	New York Mets	—	206	191	46	9	1	8	10	44	2	10	3	241	286	424	710	183	273	21	5	309	100	-0	+1	-2	-6	+4	-0.3
2012	24	AAA	Buffalo Bisons	—	163	151	43	2	1	5	10	22	1	10	8	285	333	411	744	126	304	13	6	331	96	—	—	—	—	—	—
2012	24	INTL	Dominican Republic	—	152	128	35	4	0	4	21	22	1	4	2	273	380	398	778	125	304	14	14	351	123	—	—	—	—	—	—
2013	25	MLB	New York Mets	—	144	133	25	3	1	4	8	28	3	4	3	188	250	316	566	128	208	19	6	257	63	-6	-0	-2	+1	+3	-0.5
2013	25	AAA	Las Vegas 51s	—	67	58	27	4	2	3	8	7	1	2	3	466	537	759	1.296	293	500	10	12	555	185	—	—	—	—	—	—
2013	25	INTL	Tigres del Licey	—	133	108	18	3	1	3	20	28	4	0	2	167	318	296	614	130	192	21	15	290	82	—	—	—	—	—	—
2014	26	MLB	Miami Marlins	—	113	98	21	2	1	3	9	16	0	1	0	214	280	347	627	133	228	14	8	268	73	-4	+0	-2	+2	+2	-0.1
2014	26	AAA	New Orleans Zephyrs	—	265	222	60	9	2	8	36	29	2	15	10	270	377	437	814	167	278	11	14	359	94	—	—	—	—	—	—
2014	26	INTL	Estrellas de Oriente	—	143	119	35	4	0	3	18	20	0	9	5	294	387	403	790	109	330	14	13	345	119	—	—	—	—	—	—
2015	27	AAA	New Orleans Zephyrs	—	286	256	75	12	3	2	18	31	5	7	3	293	351	387	738	94	323	11	6	326	82	—	—	—	—	—	—
2015	27	INTL	Estrellas de Oriente	—	169	137	37	4	0	1	20	25	5	11	1	270	383	321	704	51	316	15	12	318	102	—	—	—	—	—	—
2016	28	AAA	Toledo Mud Hens	—	321	293	70	11	2	3	20	59	3	10	4	239	294	321	615	82	286	18	6	276	43	—	—	—	—	—	—
2016	28	INTL	Aguilas del Zulia	—	143	130	30	2	1	0	11	19	1	3	5	231	296	262	557	31	270	13	8	259	61	—	—	—	—	—	—
2017	29	AAA	Olmecas de Tabasco	—	308	265	88	13	4	4	35	34	5	15	7	332	420	457	876	125	368	11	11	390	116	—	—	—	—	—	—
2017	29	INTL	Estrellas Orientales	—	77	68	18	3	0	0	8	12	0	2	0	265	342	309	651	44	316	16	10	299	88	—	—	—	—	—	—
2018	30	INTL	Toros del Este	—	199	166	58	6	0	2	20	21	3	14	3	349	429	422	850	72	392	11	10	368	135	—	—	—	—	—	—
2019	31	AAA	Rochester Red Wings	—	231	214	63	9	1	7	14	25	2	5	2	294	343	444	787	150	308	11	6	349	72	—	—	—	—	—	—
2019	31	INTL	Dominican Republic	—	195	165	54	7	0	6	23	23	3	6	3	327	419	479	898	152	350	12	12	394	153	—	—	—	—	—	—
2020	32	INTL	Toros del Este	—	22	22	5	1	0	0	0	4	0	1	0	227	227	273	500	45	278	18	0	223	37	—	—	—	—	—	—
2021	33	INTL	Dominican Republic	—	54	45	12	4	1	0	8	7	0	0	0	267	377	400	777	133	316	13	15	346	120	—	—	—	—	—	—
2022	34	INTL	Leones del Escogido	—	31	29	2	0	0	0	2	5	0	0	0	69	129	69	198		83	16	6	103	-44	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	463	422	92	14	3	15	27	88	5	15	6	218	273	372	645	154	241	19	6	283	77	-12	+1	-6	-2	+10	-1.0
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2007	19	ROK MLE	DSL Mets	—	168	147	22	2	2	0	16	32	4	8	4	150	251	190	442	41	190	19	10	217	33	—	—	—	—	—	—
2008	20	ROK MLE	GCL Mets	—	145	137	29	4	2	2	4	14	1	9	2	212	239	314	553	102	218	10	3	246	53	—	—	—	—	—	—
2009	21	A MLE	Savannah Sand Gnats	—	164	156	42	7	3	2	7	43	0	7	2	269	301	391	692	122	354	26	4	302	91	—	—	—	—	—	—
2009	21	ROK MLE	GCL Mets	—	43	40	7	0	1	0	2	6	0	2	1	175	214	225	439	50	200	14	5	214	31	—	—	—	—	—	—
2010	22	AA MLE	Binghamton Mets	—	117	112	25	7	0	0	2	29	0	4	2	223	237	286	523	62	282	25	2	219	34	—	—	—	—	—	—
2010	22	A+ MLE	St. Lucie Mets	—	288	272	70	15	2	5	6	63	6	13	10	257	289	382	671	125	309	22	2	287	80	—	—	—	—	—	—
2011	23	AAA MLE	Buffalo Bisons	—	113	108	29	7	0	2	3	29	0	4	4	269	288	389	677	120	341	26	3	284	78	—	—	—	—	—	—
2011	23	AA MLE	Binghamton Mets	—	441	411	116	23	3	11	14	83	7	33	14	282	317	433	750	151	319	19	3	317	101	—	—	—	—	—	—
2012	24	MLB MLE	New York Mets	—	206	191	48	10	1	8	10	44	2	10	3	251	296	440	735	188	273	21	5	316	100	-0	+1	-2	-6	+4	-0.3
2012	24	AAA MLE	Buffalo Bisons	—	163	154	43	2	1	5	7	27	1	10	8	279	315	403	717	123	308	17	4	310	96	—	—	—	—	—	—
2013	25	MLB MLE	New York Mets	—	144	133	25	3	1	4	8	28	3	4	3	188	250	316	566	128	208	19	6	262	63	-6	-0	-2	+1	+3	-0.5
2013	25	AAA MLE	Las Vegas 51s	—	67	60	22	3	1	2	6	10	1	2	3	367	433	550	983	183	427	15	9	441	185	—	—	—	—	—	—
2014	26	MLB MLE	Miami Marlins	—	113	98	21	2	1	3	9	16	0	1	0	214	280	347	627	133	228	14	8	276	73	-4	+0	-2	+2	+2	-0.1
2014	26	AAA MLE	New Orleans Zephyrs	—	265	234	58	9	2	6	24	37	2	15	10	248	323	380	703	132	262	14	9	307	94	—	—	—	—	—	—
2015	27	AAA MLE	New Orleans Zephyrs	—	286	262	72	10	3	2	12	39	5	7	3	275	319	359	678	84	300	14	4	290	82	—	—	—	—	—	—
2016	28	AAA MLE	Toledo Mud Hens	—	321	300	63	8	2	3	13	70	3	10	4	210	250	280	530	70	256	22	4	232	43	—	—	—	—	—	—
2017	29	AAA MLE	Olmecas de Tabasco	—	308	279	86	12	3	3	21	40	5	15	7	308	367	405	772	97	344	13	7	340	116	—	—	—	—	—	—
2019	31	AAA MLE	Rochester Red Wings	—	231	220	53	6	1	6	8	30	2	5	2	241	274	359	633	118	254	13	3	274	72	—	—	—	—	—	—
2007	19	ROK MLE	DSL Mets	—	168	147	22	2	2	0	16	32	4	8	4	150	251	190	442	41	190	19	10	217	33	—	—	—	—	—	—
2007	19	ROK RAW	DSL Mets	—	168	139	34	4	3	1	24	26	4	8	4	245	371	338	709	94	292	15	14	329	33	—	—	—	—	—	—
2008	20	ROK MLE	GCL Mets	—	145	137	29	4	2	2	4	14	1	9	2	212	239	314	553	102	220	10	3	246	53	—	—	—	—	—	—
2008	20	ROK RAW	GCL Mets	—	145	134	38	6	3	3	7	10	1	9	2	284	324	440	764	157	285	7	5	331	53	—	—	—	—	—	—
2009	21	A MLE	2 teams	—	207	195	49	7	4	2	10	49	0	9	3	251	288	359	647	108	322	24	5	284	78	—	—	—	—	—	—
2009	21	A RAW	2 teams	—	207	190	58	9	5	3	15	36	0	9	3	305	356	453	809	147	359	17	7	355	78	—	—	—	—	—	—
2010	22	A+ MLE	3 teams	—	504	482	119	28	3	7	9	115	6	25	12	247	270	361	631	114	309	23	2	267	67	—	—	—	—	—	—
2010	22	A+ RAW	3 teams	—	504	476	135	27	4	7	15	84	6	25	12	284	314	401	715	118	331	17	3	314	67	—	—	—	—	—	—
2011	23	AA MLE	3 teams	—	670	630	175	36	4	15	20	136	8	47	21	278	309	419	728	141	332	20	3	310	96	—	—	—	—	—	—
2011	23	AA RAW	3 teams	—	670	618	177	35	6	17	32	110	8	47	21	286	330	445	775	159	324	16	5	337	96	—	—	—	—	—	—
2012	24	MLB MLE	3 teams	—	521	487	127	16	3	18	24	100	4	24	13	261	301	417	718	156	295	19	5	313	98	-1	-0	-2	-6	+11	0.2
2012	24	MLB RAW	3 teams	—	521	470	124	15	2	17	41	88	4	24	13	264	328	413	741	149	292	17	8	328	98	-1	-0	-2	-6	+11	0.2
2013	25	MLB MLE	3 teams	—	344	312	79	10	4	10	23	61	8	6	8	253	321	407	728	154	285	18	7	319	102	+1	-2	-2	+1	+7	0.5
2013	25	MLB RAW	3 teams	—	344	299	70	10	4	10	36	63	8	6	8	234	332	395	727	161	264	18	10	328	102	+1	-2	-2	+1	+7	0.5
2014	26	AAA MLE	3 teams	—	521	456	110	15	4	13	46	73	2	25	15	241	313	377	691	136	260	14	9	298	88	—	—	—	—	—	—
2014	26	AAA RAW	3 teams	—	521	439	116	15	3	14	63	65	2	25	15	264	359	408	767	144	281	12	12	335	88	—	—	—	—	—	—
2015	27	AAA MLE	2 teams	—	455	412	113	16	4	3	19	63	10	18	4	274	322	354	676	80	312	14	4	290	82	—	—	—	—	—	—
2015	27	AAA RAW	2 teams	—	455	393	112	16	3	3	38	56	10	18	4	285	363	364	727	79	321	12	8	323	82	—	—	—	—	—	—
2016	28	AAA MLE	2 teams	—	464	435	91	12	2	4	19	102	4	13	9	209	249	274	522	64	262	22	4	232	43	—	—	—	—	—	—
2016	28	AAA RAW	2 teams	—	464	423	100	13	3	3	31	78	4	13	9	236	295	303	597	66	281	17	7	271	43	—	—	—	—	—	—
2017	29	AAA MLE	2 teams	—	385	350	108	15	4	4	26	50	5	17	7	309	365	409	773	100	349	13	7	340	116	—	—	—	—	—	—
2017	29	AAA RAW	2 teams	—	385	333	106	16	4	4	43	46	5	17	7	318	404	426	831	108	358	12	11	372	116	—	—	—	—	—	—
2018	30	INTL MLE	Toros del Este	—	199	166	58	6	0	2	20	21	3	14	3	349	429	422	850	72	392	11	10	—	—	—	—	—	—	—	—
2018	30	INTL RAW	Toros del Este	—	199	166	58	6	0	2	20	21	3	14	3	349	429	422	850	72	392	11	10	368	135	—	—	—	—	—	—
2019	31	AAA MLE	2 teams	—	426	402	98	12	1	11	14	55	5	11	5	244	278	361	639	117	258	13	3	274	72	—	—	—	—	—	—
2019	31	AAA RAW	2 teams	—	426	379	117	16	1	13	37	48	5	11	5	309	378	459	837	150	326	11	9	370	72	—	—	—	—	—	—
2020	32	INTL MLE	Toros del Este	—	22	22	5	1	0	0	0	4	0	1	0	227	227	273	500	45	278	18	0	—	—	—	—	—	—	—	—
2020	32	INTL RAW	Toros del Este	—	22	22	5	1	0	0	0	4	0	1	0	227	227	273	500	45	278	18	0	223	37	—	—	—	—	—	—
2021	33	INTL MLE	Dominican Republic	—	54	45	12	4	1	0	8	7	0	0	0	267	377	400	777	133	316	13	15	—	—	—	—	—	—	—	—
2021	33	INTL RAW	Dominican Republic	—	54	45	12	4	1	0	8	7	0	0	0	267	377	400	777	133	316	13	15	346	120	—	—	—	—	—	—
2022	34	INTL MLE	Leones del Escogido	—	31	29	2	0	0	0	2	5	0	0	0	69	129	69	198		83	16	6	—	—	—	—	—	—	—	—
2022	34	INTL RAW	Leones del Escogido	—	31	29	2	0	0	0	2	5	0	0	0	69	129	69	198		83	16	6	103	-44	—	—	—	—	—	—
2007	19	ROK MLE	DSL Mets	—	168	146	22	2	2	0	16	32	4	8	4	151	251	192	443	41	190	19	10	217	33	—	—	—	—	—	—
2008	20	ROK MLE	GCL Mets	—	145	139	29	4	2	2	4	14	1	9	2	209	239	309	549	101	218	10	3	246	53	—	—	—	—	—	—
2009	21	A MLE	2 teams	—	207	195	49	7	4	2	10	49	0	9	3	251	288	359	647	108	322	24	5	284	78	—	—	—	—	—	—
2010	22	A+ MLE	3 teams	—	504	484	119	28	3	7	9	115	6	25	12	246	270	360	629	114	301	23	2	267	67	—	—	—	—	—	—
2011	23	AA MLE	3 teams	—	670	637	175	36	4	15	20	136	8	47	21	275	309	414	723	140	323	20	3	310	96	—	—	—	—	—	—
2012	24	MLB MLE	3 teams	—	521	488	127	16	3	18	24	100	4	24	13	260	301	416	717	156	289	19	5	313	98	—	—	—	—	—	—
2013	25	MLB MLE	3 teams	—	344	310	79	10	4	10	23	61	8	6	8	255	321	410	730	155	277	18	7	319	102	—	—	—	—	—	—
2014	26	AAA MLE	3 teams	—	521	468	110	15	4	13	46	73	2	25	15	235	313	368	681	132	252	14	9	298	88	—	—	—	—	—	—
2015	27	AAA MLE	2 teams	—	455	423	113	16	4	3	19	63	10	18	4	267	322	345	667	78	300	14	4	290	82	—	—	—	—	—	—
2016	28	AAA MLE	2 teams	—	464	438	91	12	2	4	19	102	4	13	9	208	249	272	521	64	256	22	4	232	43	—	—	—	—	—	—
2017	29	AAA MLE	2 teams	—	385	351	108	15	4	4	26	50	5	17	7	308	365	407	772	100	344	13	7	340	116	—	—	—	—	—	—
2019	31	AAA MLE	2 teams	—	426	404	98	12	1	11	14	55	5	11	5	243	278	359	637	116	254	13	3	274	72	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	463	422	92	14	3	15	27	88	5	15	6	218	273	372	645	154	241	19	6	283	70	-12	+1	-6	-2	+10	-1.0
/ 162G	—	A+C		—	650	592	129	20	4	21	38	124	7	21	8	218	273	372	645	154	242	19	6	283	70	-17	+1	-8	-3	+14	-1.5
Career	—	MLE		—	5116	4707	1197	184	38	91	260	887	60	227	106	254	302	368	669	113	294	17	5	271	70	-12	+1	-6	-2	+10	-1.0
/ 162G	—	MLE		—	650	598	152	23	5	12	33	113	8	29	13	254	302	370	672	115	294	17	5	271	70	-17	+1	-8	-3	+14	-1.5

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 AAARochester Red Wings · 231 PAwOBA .338 → .274 (−64)K% 10.8% → 13.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	10.82%	÷0.999	×1.200	—	—	13.00%
BB% (unintentional) /PA	5.63%	÷1.095	×0.690	—	×0.952	3.38%
HBP% /PA	0.87%	—	×0.940	—	×0.952	0.77%
Singles /BIP	24.34%	÷0.982	×0.930	×0.951	×0.952	20.88%
Doubles /BIP	4.76%	÷1.063	×0.830	×0.951	×0.952	3.37%
Triples /BIP	0.53%	÷1.150	×0.970	×0.951	×0.952	0.40%
Home runs /BIP	3.70%	÷0.958	×0.840	—	×0.952	3.09%

Factors used: league row IL. Park (home-season share, regressed): HR 92, 1B 96, 2B 113, 3B 130, K 100, BB 119 — applied at half strength. Age: age 32 vs a level average of 27.2 → −4.8% on BB/HBP/hit rates (4.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.951.

Result: wOBA .338 → .274; ISO .150 → .120; BABIP .308 → .254. 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 AAAOlmecas de Tabasco · 308 PAwOBA .379 → .340 (−38)K% 11.0% → 13.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	11.04%	÷1.020	×1.200	—	—	12.99%
BB% (unintentional) /PA	10.39%	÷1.045	×0.690	—	×0.972	6.67%
HBP% /PA	1.62%	—	×0.940	—	×0.972	1.48%
Singles /BIP	29.00%	÷0.984	×0.930	×1.044	×0.972	27.84%
Doubles /BIP	5.63%	÷0.976	×0.830	×1.044	×0.972	4.86%
Triples /BIP	1.73%	÷1.150	×0.920	×1.044	×0.972	1.41%
Home runs /BIP	1.73%	÷0.886	×0.700	—	×0.972	1.33%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 77, 1B 97, 2B 95, 3B 130, K 104, BB 109 — 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 ×1.044.

Result: wOBA .379 → .340; ISO .125 → .107; BABIP .368 → .344. 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 AAAToledo Mud Hens · 321 PAwOBA .270 → .232 (−38)K% 18.4% → 21.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.38%	÷1.009	×1.200	—	—	21.85%
BB% (unintentional) /PA	5.92%	÷1.004	×0.690	—	×0.982	4.00%
HBP% /PA	0.93%	—	×0.940	—	×0.982	0.86%
Singles /BIP	23.08%	÷1.001	×0.930	×1.013	×0.982	21.33%
Doubles /BIP	4.70%	÷1.092	×0.830	×1.013	×0.982	3.56%
Triples /BIP	0.85%	÷1.150	×0.970	×1.013	×0.982	0.72%
Home runs /BIP	1.28%	÷0.899	×0.840	—	×0.982	1.18%

Factors used: league row IL. Park (home-season share, regressed): HR 80, 1B 100, 2B 118, 3B 130, K 102, BB 101 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.013.

Result: wOBA .270 → .232; ISO .082 → .068; BABIP .286 → .256. 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 AAANew Orleans Zephyrs · 286 PAwOBA .319 → .290 (−30)K% 10.8% → 13.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	10.84%	÷1.016	×1.290	—	—	13.76%
BB% (unintentional) /PA	5.94%	÷0.997	×0.710	—	×0.992	4.20%
HBP% /PA	1.75%	—	×0.980	—	×0.992	1.70%
Singles /BIP	25.78%	÷0.969	×0.900	×1.040	×0.992	24.69%
Doubles /BIP	5.33%	÷1.012	×0.810	×1.040	×0.992	4.40%
Triples /BIP	1.33%	÷0.985	×0.810	×1.040	×0.992	1.13%
Home runs /BIP	0.89%	÷0.975	×0.780	—	×0.992	0.71%

Factors used: league row PCL. Park (home-season share, regressed): HR 95, 1B 94, 2B 102, 3B 97, K 103, BB 99 — 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 ×1.040.

Result: wOBA .319 → .290; ISO .094 → .079; BABIP .323 → .300. 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 AAANew Orleans Zephyrs · 265 PAwOBA .350 → .307 (−43)K% 10.9% → 14.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	10.94%	÷1.008	×1.290	—	—	14.00%
BB% (unintentional) /PA	12.83%	÷1.007	×0.710	—	×1.003	9.08%
HBP% /PA	0.75%	—	×0.980	—	×1.003	0.74%
Singles /BIP	21.24%	÷0.980	×0.900	×1.044	×1.003	20.43%
Doubles /BIP	4.66%	÷0.923	×0.810	×1.044	×1.003	4.28%
Triples /BIP	1.04%	÷0.900	×0.810	×1.044	×1.003	0.98%
Home runs /BIP	4.15%	÷1.098	×0.780	—	×1.003	2.95%

Factors used: league row PCL. Park (home-season share, regressed): HR 120, 1B 96, 2B 85, 3B 80, K 102, 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 ×1.044.

Result: wOBA .350 → .307; ISO .167 → .137; BABIP .278 → .262. 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 AAALas Vegas 51s · 67 PAwOBA .540 → .441 (−100)K% 10.4% → 14.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	10.45%	÷0.952	×1.290	—	—	14.16%
BB% (unintentional) /PA	11.94%	÷0.994	×0.710	—	×1.018	8.68%
HBP% /PA	1.49%	—	×0.980	—	×1.018	1.49%
Singles /BIP	35.29%	÷1.018	×0.900	—	×1.018	31.76%
Doubles /BIP	7.84%	÷1.023	×0.810	—	×1.018	6.32%
Triples /BIP	3.92%	÷1.150	×0.810	—	×1.018	2.81%
Home runs /BIP	5.88%	÷1.078	×0.780	—	×1.018	4.33%

Factors used: league row PCL. Park (home-season share, regressed): HR 116, 1B 104, 2B 105, 3B 130, K 90, BB 99 — 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).

Result: wOBA .540 → .441; ISO .293 → .218; BABIP .500 → .427. 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 AAABuffalo Bisons · 163 PAwOBA .324 → .310 (−14)K% 13.5% → 16.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.50%	÷0.989	×1.200	—	—	16.38%
BB% (unintentional) /PA	6.13%	÷1.002	×0.690	—	×1.033	4.36%
HBP% /PA	0.61%	—	×0.940	—	×1.033	0.60%
Singles /BIP	27.13%	÷0.992	×0.930	×1.050	×1.033	27.58%
Doubles /BIP	1.55%	÷0.963	×0.830	×1.050	×1.033	1.45%
Triples /BIP	0.78%	÷1.002	×0.970	×1.050	×1.033	0.81%
Home runs /BIP	3.88%	÷0.901	×0.840	—	×1.033	3.73%

Factors used: league row IL. Park (home-season share, regressed): HR 80, 1B 98, 2B 93, 3B 100, K 98, BB 100 — 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 .324 → .310; ISO .126 → .121; BABIP .304 → .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).

2011 AABinghamton Mets · 441 PAwOBA .347 → .317 (−30)K% 15.4% → 18.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.42%	÷0.995	×1.220	—	—	18.90%
BB% (unintentional) /PA	4.31%	÷0.944	×0.700	—	×1.012	3.23%
HBP% /PA	1.59%	—	×0.850	—	×1.012	1.37%
Singles /BIP	23.21%	÷1.005	×0.970	×1.032	×1.012	23.40%
Doubles /BIP	7.14%	÷0.961	×0.860	×1.032	×1.012	6.68%
Triples /BIP	0.89%	÷0.920	×0.950	×1.032	×1.012	0.96%
Home runs /BIP	4.46%	÷1.102	×0.780	—	×1.012	3.20%

Factors used: league row EL. Park (home-season share, regressed): HR 120, 1B 101, 2B 92, 3B 84, K 99, BB 89 — 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 ×1.032.

Result: wOBA .347 → .317; ISO .186 → .152; BABIP .325 → .319. 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 — .