Aderlin Rodríguez

Pos3B

B/TR/R

Born1991-11-18

Age (2027)35

No MLB projection yet. Career stats below are historical.

Overview

INTLPROSPECT

MLB%10%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR
2024	32	INTLAguilas Cibae…	136	.323/.378/.581	8	1	166	—
2025	33	INTLDominican Rep…	198	.250/.316/.409	7	1	101	—
2026	34	INTLAguilas Cibae…	21	.222/.333/.389	1	1	108	—

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)
2009	17	ROK	GCL Mets	—	72	62	18	3	0	1	9	15	1	1	1	290	389	387	776	97	370	21	12	356	57	—	—	—	—	—	—
2010	18	A	Savannah Sand Gnats	—	39	30	6	1	0	1	6	10	1	0	0	200	351	333	685	133	238	26	15	305	67	—	—	—	—	—	—
2010	18	ROK	Kingsport Mets	—	267	250	78	22	0	13	15	43	1	3	1	312	353	556	909	244	333	16	6	395	84	—	—	—	—	—	—
2011	19	A	Savannah Sand Gnats	—	554	516	114	23	2	17	29	106	3	2	1	221	266	372	639	151	245	19	5	281	48	—	—	—	—	—	—
2012	20	A+	St. Lucie Mets	—	163	153	37	5	0	8	8	30	2	1	0	242	288	431	720	190	252	18	5	318	42	—	—	—	—	—	—
2012	20	A	Savannah Sand Gnats	—	352	318	87	21	1	16	29	71	2	1	0	274	338	497	835	223	305	20	8	363	84	—	—	—	—	—	—
2013	21	A+	St. Lucie Mets	—	264	246	64	14	0	9	11	43	3	1	1	260	300	427	727	167	278	16	4	317	53	—	—	—	—	—	—
2013	21	INTL	Gigantes del Cibao	—	78	77	15	3	0	0	0	21	1	0	0	195	205	234	439	39	268	27	0	198	20	—	—	—	—	—	—
2014	22	A+	St. Lucie Mets	—	360	339	82	20	2	6	16	73	4	0	0	242	284	366	650	124	292	20	4	290	45	—	—	—	—	—	—
2015	23	AA	Jackson Generals	—	401	372	87	24	1	13	21	80	3	1	2	234	280	409	689	175	261	20	5	301	62	—	—	—	—	—	—
2016	24	A+	Frederick Keys	—	542	494	150	23	6	26	36	112	8	3	3	304	361	532	893	229	345	21	7	388	77	—	—	—	—	—	—
2016	24	INTL	Gigantes del Cibao	—	28	25	8	0	0	0	2	4	0	0	0	320	370	320	690		364	14	7	308	95	—	—	—	—	—	—
2017	25	AA	Bowie Baysox	—	536	484	135	25	1	22	43	102	5	0	0	279	344	471	815	192	310	19	8	358	85	—	—	—	—	—	—
2017	25	INTL	Gigantes del Cibao	—	103	94	21	3	0	4	8	20	0	0	1	223	284	383	667	160	239	19	8	295	86	—	—	—	—	—	—
2018	26	AA	Bowie Baysox	—	531	483	137	20	2	23	29	95	11	1	1	284	338	476	815	193	306	18	5	355	86	—	—	—	—	—	—
2018	26	INTL	Gigantes del Cibao	—	45	42	7	1	0	1	3	13	0	0	0	167	222	262	484	95	214	29	7	222	36	—	—	—	—	—	—
2019	27	AAA	El Paso Chihuahuas	—	289	265	85	26	0	19	14	46	6	0	0	321	368	634	1.002	313	324	16	5	427	104	—	—	—	—	—	—
2019	27	INTL	Leones del Escogido	—	78	69	21	4	0	2	7	7	1	0	0	304	377	449	826	145	311	9	9	365	133	—	—	—	—	—	—
2021	29	AAA	Toledo Mud Hens	—	483	434	126	26	3	29	42	127	7	1	1	290	362	565	927	274	349	26	9	403	83	—	—	—	—	—	—
2021	29	INTL	Leones del Escogido	—	120	108	24	5	2	4	8	32	3	0	0	222	294	417	711	194	274	27	7	313	98	—	—	—	—	—	—
2022	30	AAA	El Paso Chihuahuas	—	199	173	47	10	0	12	14	45	7	0	0	272	351	538	888	266	289	23	7	379	68	—	—	—	—	—	—
2022	30	INTL	Leones del Escogido	—	101	89	15	4	0	2	9	16	2	1	0	169	260	281	541	112	181	16	9	249	55	—	—	—	—	—	—
2023	31	INTL	Leones del Escogido	—	76	69	14	2	0	3	6	21	0	0	0	203	267	362	629	159	239	28	8	278	74	—	—	—	—	—	—
2024	32	INTL	Aguilas Cibaenas	—	136	124	40	4	2	8	8	28	3	1	0	323	378	581	958	258	360	21	6	414	166	—	—	—	—	—	—
2025	33	INTL	Dominican Republic	—	198	176	44	7	0	7	8	32	9	1	0	250	316	409	725	159	261	16	4	318	101	—	—	—	—	—	—
2026	34	INTL	Aguilas Cibaenas	—	21	18	4	0	0	1	3	5	0	1	0	222	333	389	722	167	250	24	14	328	108	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2009	17	ROK MLE	GCL Mets	—	72	66	14	2	0	1	5	22	1	1	1	212	278	288	566	76	302	31	7	253	57	—	—	—	—	—	—
2010	18	A MLE	Savannah Sand Gnats	—	39	33	6	1	0	1	3	14	1	0	0	182	270	303	573	121	229	36	8	267	67	—	—	—	—	—	—
2010	18	ROK MLE	Kingsport Mets	—	267	255	61	16	0	10	10	61	1	3	1	239	271	420	690	180	273	23	4	292	84	—	—	—	—	—	—
2011	19	A MLE	Savannah Sand Gnats	—	554	526	103	17	2	17	19	138	3	2	1	196	228	333	561	137	225	25	3	239	48	—	—	—	—	—	—
2012	20	A+ MLE	St. Lucie Mets	—	163	155	28	4	0	5	6	46	2	1	0	181	221	303	524	123	219	28	4	230	42	—	—	—	—	—	—
2012	20	A MLE	Savannah Sand Gnats	—	352	329	76	18	1	14	18	92	2	1	0	231	275	419	695	188	270	26	5	293	84	—	—	—	—	—	—
2013	21	A+ MLE	St. Lucie Mets	—	264	248	51	13	0	5	9	62	3	1	1	206	242	319	561	113	244	23	3	247	53	—	—	—	—	—	—
2014	22	A+ MLE	St. Lucie Mets	—	360	344	70	20	1	5	11	105	4	0	0	203	237	311	548	108	276	29	3	235	45	—	—	—	—	—	—
2015	23	AA MLE	Jackson Generals	—	401	378	79	21	1	11	15	100	3	1	2	209	245	357	602	148	245	25	4	260	62	—	—	—	—	—	—
2016	24	A+ MLE	Frederick Keys	—	542	510	117	17	4	18	20	159	8	3	3	229	270	384	654	155	291	29	4	282	77	—	—	—	—	—	—
2017	25	AA MLE	Bowie Baysox	—	536	502	122	20	1	17	25	128	5	0	0	243	286	388	674	145	289	24	5	294	85	—	—	—	—	—	—
2018	26	AA MLE	Bowie Baysox	—	531	493	123	17	2	16	19	121	11	1	1	249	293	389	682	140	286	23	4	296	86	—	—	—	—	—	—
2019	27	AAA MLE	El Paso Chihuahuas	—	289	270	65	18	0	15	9	62	6	0	0	241	281	474	755	233	250	21	3	322	104	—	—	—	—	—	—
2021	29	AAA MLE	Toledo Mud Hens	—	483	450	100	20	3	18	26	153	7	1	1	222	275	400	675	178	292	32	5	291	83	—	—	—	—	—	—
2022	30	AAA MLE	El Paso Chihuahuas	—	199	178	35	7	0	7	9	56	7	0	0	197	263	354	617	157	221	28	5	268	68	—	—	—	—	—	—
2009	17	ROK MLE	GCL Mets	—	72	66	14	2	0	1	5	22	1	1	1	212	278	288	566	76	302	31	7	253	57	—	—	—	—	—	—
2009	17	ROK RAW	GCL Mets	—	72	62	18	3	0	1	9	15	1	1	1	290	389	387	776	97	370	21	12	356	57	—	—	—	—	—	—
2010	18	ROK MLE	2 teams	—	306	288	67	17	0	11	13	75	2	3	1	233	271	406	677	174	273	25	4	289	82	—	—	—	—	—	—
2010	18	ROK RAW	2 teams	—	306	280	84	23	0	14	21	53	2	3	1	300	353	532	885	232	324	17	7	383	82	—	—	—	—	—	—
2011	19	A MLE	Savannah Sand Gnats	—	554	526	103	17	2	17	19	138	3	2	1	196	228	333	561	137	230	25	3	239	48	—	—	—	—	—	—
2011	19	A RAW	Savannah Sand Gnats	—	554	516	114	23	2	17	29	106	3	2	1	221	266	372	639	151	245	19	5	281	48	—	—	—	—	—	—
2012	20	A MLE	2 teams	—	515	484	104	22	1	19	24	138	4	2	0	215	258	382	640	167	258	27	5	273	71	—	—	—	—	—	—
2012	20	A RAW	2 teams	—	515	471	124	26	1	24	37	101	4	2	0	263	322	476	798	212	287	20	7	349	71	—	—	—	—	—	—
2013	21	A+ MLE	2 teams	—	342	323	67	17	0	7	11	81	4	1	1	207	243	325	568	118	251	24	3	247	53	—	—	—	—	—	—
2013	21	A+ RAW	2 teams	—	342	323	79	17	0	9	11	64	4	1	1	245	278	381	659	136	276	19	3	290	53	—	—	—	—	—	—
2014	22	A+ MLE	St. Lucie Mets	—	360	344	70	20	1	5	11	105	4	0	0	203	237	311	548	108	278	29	3	235	45	—	—	—	—	—	—
2014	22	A+ RAW	St. Lucie Mets	—	360	339	82	20	2	6	16	73	4	0	0	242	284	366	650	124	292	20	4	290	45	—	—	—	—	—	—
2015	23	AA MLE	Jackson Generals	—	401	378	79	21	1	11	15	100	3	1	2	209	245	357	602	148	250	25	4	260	62	—	—	—	—	—	—
2015	23	AA RAW	Jackson Generals	—	401	372	87	24	1	13	21	80	3	1	2	234	280	409	689	175	261	20	5	301	62	—	—	—	—	—	—
2016	24	A+ MLE	2 teams	—	570	536	123	18	5	18	21	167	8	3	3	229	269	382	651	153	296	29	4	282	77	—	—	—	—	—	—
2016	24	A+ RAW	2 teams	—	570	519	158	23	6	26	38	116	8	3	3	304	361	522	883	218	346	20	7	384	77	—	—	—	—	—	—
2017	25	AA MLE	2 teams	—	639	600	146	24	1	20	29	153	5	0	1	243	284	387	671	143	292	24	5	294	85	—	—	—	—	—	—
2017	25	AA RAW	2 teams	—	639	578	156	28	1	26	51	122	5	0	1	270	334	457	791	187	299	19	8	348	85	—	—	—	—	—	—
2018	26	AA MLE	2 teams	—	576	536	134	19	2	18	21	131	11	1	1	250	292	394	686	144	294	23	4	296	86	—	—	—	—	—	—
2018	26	AA RAW	2 teams	—	576	525	144	21	2	24	32	108	11	1	1	274	329	459	788	185	299	19	6	344	86	—	—	—	—	—	—
2019	27	AAA MLE	2 teams	—	367	343	82	23	0	19	12	78	7	0	0	239	279	472	751	233	251	21	3	322	104	—	—	—	—	—	—
2019	27	AAA RAW	2 teams	—	367	334	106	30	0	21	21	53	7	0	0	317	370	596	966	278	321	14	6	414	104	—	—	—	—	—	—
2021	29	AAA MLE	2 teams	—	603	559	125	25	3	23	33	191	10	1	1	224	279	403	682	179	295	32	5	291	83	—	—	—	—	—	—
2021	29	AAA RAW	2 teams	—	603	542	150	31	5	33	50	159	10	1	1	277	349	535	884	258	333	26	8	385	83	—	—	—	—	—	—
2022	30	AAA MLE	2 teams	—	300	271	52	10	0	11	14	85	9	1	0	192	255	351	606	159	227	28	5	268	68	—	—	—	—	—	—
2022	30	AAA RAW	2 teams	—	300	262	62	14	0	14	23	61	9	1	0	237	320	450	770	214	249	20	8	335	68	—	—	—	—	—	—
2023	31	INTL MLE	Leones del Escogido	—	76	69	14	2	0	3	6	21	0	0	0	203	267	362	629	159	239	28	8	—	—	—	—	—	—	—	—
2023	31	INTL RAW	Leones del Escogido	—	76	69	14	2	0	3	6	21	0	0	0	203	267	362	629	159	239	28	8	278	74	—	—	—	—	—	—
2024	32	INTL MLE	Aguilas Cibaenas	—	136	124	40	4	2	8	8	28	3	1	0	323	378	581	958	258	360	21	6	—	—	—	—	—	—	—	—
2024	32	INTL RAW	Aguilas Cibaenas	—	136	124	40	4	2	8	8	28	3	1	0	323	378	581	958	258	360	21	6	414	166	—	—	—	—	—	—
2025	33	INTL MLE	Dominican Republic	—	198	176	44	7	0	7	8	32	9	1	0	250	316	409	725	159	261	16	4	—	—	—	—	—	—	—	—
2025	33	INTL RAW	Dominican Republic	—	198	176	44	7	0	7	8	32	9	1	0	250	316	409	725	159	261	16	4	318	101	—	—	—	—	—	—
2026	34	INTL MLE	Aguilas Cibaenas	—	21	18	4	0	0	1	3	5	0	1	0	222	333	389	722	167	250	24	14	—	—	—	—	—	—	—	—
2026	34	INTL RAW	Aguilas Cibaenas	—	21	18	4	0	0	1	3	5	0	1	0	222	333	389	722	167	250	24	14	328	108	—	—	—	—	—	—
2009	17	ROK MLE	GCL Mets	—	72	66	14	2	0	1	5	22	1	1	1	212	278	288	566	76	302	31	7	253	57	—	—	—	—	—	—
2010	18	ROK MLE	2 teams	—	306	288	67	17	0	11	13	75	2	3	1	233	271	406	677	174	267	25	4	289	82	—	—	—	—	—	—
2011	19	A MLE	Savannah Sand Gnats	—	554	527	103	17	2	17	19	138	3	2	1	195	228	332	560	137	225	25	3	239	48	—	—	—	—	—	—
2012	20	A MLE	2 teams	—	515	482	104	22	1	19	24	138	4	2	0	216	258	384	642	168	254	27	5	273	71	—	—	—	—	—	—
2013	21	A+ MLE	2 teams	—	342	324	67	17	0	7	11	81	4	1	1	207	243	324	567	117	244	24	3	247	53	—	—	—	—	—	—
2014	22	A+ MLE	St. Lucie Mets	—	360	342	70	20	1	5	11	105	4	0	0	205	237	313	550	108	276	29	3	235	45	—	—	—	—	—	—
2015	23	AA MLE	Jackson Generals	—	401	380	79	21	1	11	15	100	3	1	2	208	245	355	600	147	245	25	4	260	62	—	—	—	—	—	—
2016	24	A+ MLE	2 teams	—	570	536	123	18	5	18	21	167	8	3	3	229	269	382	651	153	291	29	4	282	77	—	—	—	—	—	—
2017	25	AA MLE	2 teams	—	639	600	146	24	1	20	29	153	5	0	1	243	284	387	671	143	289	24	5	294	85	—	—	—	—	—	—
2018	26	AA MLE	2 teams	—	576	539	134	19	2	18	21	131	11	1	1	249	292	391	684	143	286	23	4	296	86	—	—	—	—	—	—
2019	27	AAA MLE	2 teams	—	367	345	82	23	0	19	12	78	7	0	0	238	279	470	749	232	250	21	3	322	104	—	—	—	—	—	—
2021	29	AAA MLE	2 teams	—	603	555	125	25	3	23	33	191	10	1	1	225	279	405	684	180	292	32	5	291	83	—	—	—	—	—	—
2022	30	AAA MLE	2 teams	—	300	274	52	10	0	11	14	85	9	1	0	190	255	347	602	157	221	28	5	268	68	—	—	—	—	—	—
▸ Career Totals
Career	—	MLE		—	6036	5641	1268	248	18	199	253	1550	83	19	12	225	268	381	649	156	271	26	4	256	60	-291	-1	+0	+22	+131	-14.2
/ 162G	—	MLE		—	650	607	136	27	2	21	27	167	9	2	1	224	267	379	646	155	271	26	4	256	60	-31	+0	+0	+2	+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.

2022 AAAEl Paso Chihuahuas · 199 PAwOBA .377 → .268 (−110)K% 22.6% → 28.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.61%	÷0.959	×1.200	—	—	28.31%
BB% (unintentional) /PA	7.04%	÷0.990	×0.690	—	×0.962	4.72%
HBP% /PA	3.52%	—	×0.940	—	×0.962	3.18%
Singles /BIP	19.53%	÷1.047	×0.930	×0.979	×0.962	16.34%
Doubles /BIP	7.81%	÷1.133	×0.830	×0.979	×0.962	5.39%
Triples /BIP	0.00%	÷1.002	×0.970	×0.979	×0.962	0.00%
Home runs /BIP	9.38%	÷1.138	×0.700	—	×0.962	5.55%

Factors used: league row International League. Park (home-season share, regressed): HR 128, 1B 109, 2B 127, 3B 100, K 92, BB 98 — applied at half strength. Age: age 31 vs a level average of 27.2 → −3.8% on BB/HBP/hit rates (3.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.979.

Result: wOBA .377 → .268; ISO .266 → .162; BABIP .289 → .221. 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 AAAToledo Mud Hens · 483 PAwOBA .390 → .291 (−99)K% 26.3% → 31.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	26.29%	÷1.000	×1.200	—	—	31.56%
BB% (unintentional) /PA	8.28%	÷1.038	×0.690	—	×0.972	5.35%
HBP% /PA	1.45%	—	×0.940	—	×0.972	1.32%
Singles /BIP	22.15%	÷0.991	×0.930	×0.983	×0.972	19.87%
Doubles /BIP	8.47%	÷1.013	×0.830	×0.983	×0.972	6.63%
Triples /BIP	0.98%	÷0.981	×0.920	×0.983	×0.972	0.88%
Home runs /BIP	9.45%	÷1.052	×0.700	—	×0.972	6.11%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 110, 1B 98, 2B 103, 3B 96, K 100, BB 108 — 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 ×0.983.

Result: wOBA .390 → .291; ISO .274 → .184; BABIP .349 → .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).

2019 AAAEl Paso Chihuahuas · 289 PAwOBA .420 → .322 (−98)K% 15.9% → 21.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.92%	÷0.965	×1.290	—	—	21.27%
BB% (unintentional) /PA	4.84%	÷1.050	×0.710	—	×0.992	3.25%
HBP% /PA	2.08%	—	×0.980	—	×0.992	2.02%
Singles /BIP	18.26%	÷1.033	×0.900	×0.950	×0.992	14.99%
Doubles /BIP	11.87%	÷1.044	×0.810	×0.950	×0.992	8.68%
Triples /BIP	0.00%	÷0.900	×0.810	×0.950	×0.992	0.00%
Home runs /BIP	8.68%	÷0.950	×0.780	—	×0.992	7.07%

Factors used: league row PCL. Park (home-season share, regressed): HR 90, 1B 107, 2B 109, 3B 80, K 93, BB 110 — 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 ×0.950.

Result: wOBA .420 → .322; ISO .313 → .239; BABIP .324 → .250. 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 AABowie Baysox · 531 PAwOBA .349 → .296 (−53)K% 17.9% → 22.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.89%	÷0.960	×1.220	—	—	22.74%
BB% (unintentional) /PA	5.08%	÷0.978	×0.700	—	×0.978	3.56%
HBP% /PA	2.07%	—	×0.850	—	×0.978	1.72%
Singles /BIP	23.71%	÷0.996	×0.970	×1.015	×0.978	22.90%
Doubles /BIP	5.15%	÷0.971	×0.860	×1.015	×0.978	4.53%
Triples /BIP	0.52%	÷0.900	×0.950	×1.015	×0.978	0.54%
Home runs /BIP	5.93%	÷1.060	×0.780	—	×0.978	4.27%

Factors used: league row EL. Park (home-season share, regressed): HR 112, 1B 99, 2B 94, 3B 80, K 92, BB 96 — 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 ×1.015.

Result: wOBA .349 → .296; ISO .193 → .146; BABIP .306 → .286. 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 AABowie Baysox · 536 PAwOBA .348 → .294 (−53)K% 19.0% → 23.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.03%	÷0.970	×1.220	—	—	23.94%
BB% (unintentional) /PA	7.09%	÷1.061	×0.700	—	×0.988	4.62%
HBP% /PA	0.93%	—	×0.850	—	×0.988	0.78%
Singles /BIP	22.77%	÷0.993	×0.970	×1.013	×0.988	22.26%
Doubles /BIP	6.54%	÷1.043	×0.860	×1.013	×0.988	5.40%
Triples /BIP	0.26%	÷1.016	×0.950	×1.013	×0.988	0.24%
Home runs /BIP	5.76%	÷0.998	×0.780	—	×0.988	4.45%

Factors used: league row EL. Park (home-season share, regressed): HR 100, 1B 99, 2B 109, 3B 103, K 94, BB 112 — applied at half strength. Age: age 26 vs a level average of 24.8 → −1.2% on BB/HBP/hit rates (1.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.013.

Result: wOBA .348 → .294; ISO .192 → .150; BABIP .310 → .289. 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 A+Frederick Keys · 542 PAwOBA .377 → .282 (−95)K% 20.7% → 29.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.66%	÷1.003	×1.420	—	—	29.26%
BB% (unintentional) /PA	5.90%	÷0.972	×0.630	—	×0.978	3.74%
HBP% /PA	1.48%	—	×0.860	—	×0.978	1.24%
Singles /BIP	24.87%	÷1.035	×0.940	×0.987	×0.978	21.82%
Doubles /BIP	6.02%	÷0.997	×0.830	×0.987	×0.978	4.84%
Triples /BIP	1.57%	÷0.975	×0.800	×0.987	×0.978	1.25%
Home runs /BIP	6.81%	÷1.214	×0.900	—	×0.978	4.93%

Factors used: league row CAR. Park (home-season share, regressed): HR 143, 1B 107, 2B 99, 3B 95, K 101, BB 94 — applied at half strength. Age: age 25 vs a level average of 22.8 → −2.2% on BB/HBP/hit rates (2.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.987.

Result: wOBA .377 → .282; ISO .229 → .160; BABIP .345 → .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).

2015 AAJackson Generals · 401 PAwOBA .296 → .260 (−36)K% 20.0% → 25.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.95%	÷0.973	×1.220	—	—	25.01%
BB% (unintentional) /PA	5.24%	÷0.950	×0.680	—	×1.012	3.79%
HBP% /PA	0.75%	—	×0.840	—	×1.012	0.64%
Singles /BIP	16.78%	÷0.974	×0.920	×1.008	×1.012	16.17%
Doubles /BIP	8.22%	÷1.032	×0.910	×1.008	×1.012	7.39%
Triples /BIP	0.34%	÷0.900	×0.880	×1.008	×1.012	0.34%
Home runs /BIP	4.45%	÷0.890	×0.800	—	×1.012	4.05%

Factors used: league row SL. Park (home-season share, regressed): HR 78, 1B 95, 2B 106, 3B 80, K 95, BB 90 — 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 ×1.008.

Result: wOBA .296 → .260; ISO .175 → .154; BABIP .261 → .245. 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+St. Lucie Mets · 360 PAwOBA .282 → .235 (−47)K% 20.3% → 29.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.28%	÷0.984	×1.420	—	—	29.27%
BB% (unintentional) /PA	4.44%	÷1.106	×0.750	—	×0.998	3.01%
HBP% /PA	1.11%	—	×0.930	—	×0.998	1.03%
Singles /BIP	20.30%	÷1.018	×0.920	×1.005	×0.998	18.40%
Doubles /BIP	7.52%	÷0.883	×0.960	×1.005	×0.998	8.19%
Triples /BIP	0.75%	÷1.150	×0.810	×1.005	×0.998	0.53%
Home runs /BIP	2.26%	÷1.054	×0.880	—	×0.998	1.88%

Factors used: league row FSL. Park (home-season share, regressed): HR 111, 1B 104, 2B 77, 3B 130, K 97, BB 121 — applied at half strength. Age: age 23 vs a level average of 22.8 → −0.2% on BB/HBP/hit rates (0.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.005.

Result: wOBA .282 → .235; ISO .124 → .105; BABIP .292 → .276. 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 — .