Chris Marrero

Pos1B

B/TR/R

Born1988-07-02

Age (2027)39

No MLB projection yet. Career stats below are historical.

Overview

AAALAST SEASON 2017

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2015	27	AAA/AA/INTL3 orgs	362	.260/.311/.397	8	0	72	—	.239/.275/.371
2016	28	AAAPawtucket Red…	544	.284/.348/.494	23	0	94	—	.246/.288/.417
2017	29	AAASF	67	.207/.303/.379	2	0	50	—	.167/.242/.317
2017	29	MLBSF	41	.132/.175/.211	1	0	7	-0.5
2018	30	No MLB games played
2019	31	No MLB games played
2020	32	No MLB games played
2021	33	No MLB games played
2022	34	No MLB games played
2023	35	No MLB games played
2024	36	No MLB games played
2025	37	No MLB games played
2026	38	No MLB games played

Last 3 seasons WAR -0.5

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	18	ROK	GCL Nationals	—	91	81	25	9	0	0	8	19	1	0	0	309	378	420	798	111	397	21	9	356	50	—	—	—	—	—	—
2007	19	A+	Potomac Nationals	—	290	255	66	11	3	9	32	63	0	0	0	259	341	431	773	173	306	22	11	341	80	—	—	—	—	—	—
2007	19	A	Hagerstown Suns	—	243	222	65	14	0	14	14	39	3	0	4	293	343	545	888	252	295	16	6	381	109	—	—	—	—	—	—
2008	20	A+	Potomac Nationals	—	289	256	64	15	2	11	25	55	5	0	0	250	329	453	782	203	275	19	9	343	80	—	—	—	—	—	—
2009	21	AA	Harrisburg Senators	—	84	75	20	6	0	1	8	18	1	0	1	267	345	387	732	120	339	21	10	332	88	—	—	—	—	—	—
2009	21	A+	Potomac Nationals	—	469	414	119	21	2	16	42	97	8	2	3	287	364	464	828	176	337	21	9	365	88	—	—	—	—	—	—
2010	22	AA	Harrisburg Senators	—	578	524	154	28	0	18	43	102	5	1	3	294	353	450	803	156	333	18	7	354	97	—	—	—	—	—	—
2010	22	INTL	Leones de Ponce	—	94	85	26	4	0	2	7	25	0	2	0	306	359	424	782	118	400	27	7	343	119	—	—	—	—	—	—
2011	23	MLB	Washington Nationals	—	117	109	27	5	0	0	4	27	1	0	0	248	281	294	574	46	318	23	3	255	58	-6	+0	-4	-13	+3	-2.0
2011	23	AAA	Syracuse Chiefs	—	546	483	145	30	0	14	58	97	2	3	2	300	378	449	827	149	349	18	11	368	102	—	—	—	—	—	—
2011	23	INTL	Tigres del Licey	—	62	52	15	2	0	0	9	16	0	0	1	288	393	327	720	38	405	26	15	332	111	—	—	—	—	—	—
2012	24	AAA	Syracuse Chiefs	—	144	127	31	6	1	0	16	28	1	0	0	244	333	307	640	63	313	19	11	298	57	—	—	—	—	—	—
2012	24	AA	Harrisburg Senators	—	23	22	6	2	0	1	0	3	1	0	0	273	304	500	804	227	278	13	0	352	91	—	—	—	—	—	—
2013	25	MLB	Washington Nationals	—	16	16	2	0	0	0	0	4	0	0	0	125	125	125	250		167	25	0	113	-37	-3	+0	+0	-10	+0	-1.2
2013	25	AAA	Syracuse Chiefs	—	450	408	110	17	2	11	36	67	3	0	1	270	333	402	735	132	297	15	8	328	85	—	—	—	—	—	—
2013	25	INTL	Tigres del Licey	—	69	63	8	1	0	2	5	17	0	0	0	127	191	238	429	111	133	25	7	195	18	—	—	—	—	—	—
2014	26	AAA	Norfolk Tides	—	151	138	33	7	1	3	10	35	1	0	0	239	295	370	665	130	294	23	7	294	53	—	—	—	—	—	—
2014	26	AA	Bowie Baysox	—	241	217	51	10	1	10	20	40	2	0	0	235	305	429	734	194	243	17	8	323	70	—	—	—	—	—	—
2014	26	INTL	Mayos de Navojoa	—	126	116	28	6	0	5	10	21	0	0	0	241	302	422	724	181	256	17	8	321	104	—	—	—	—	—	—
2015	27	AAA	Pawtucket Red Sox	—	244	225	59	13	1	7	17	47	0	0	0	262	314	422	736	160	301	19	7	324	71	—	—	—	—	—	—
2015	27	AA	Birmingham Barons	—	38	37	12	3	0	0	1	7	0	0	0	324	342	405	748	81	400	18	3	334	79	—	—	—	—	—	—
2015	27	INTL	Bravos de Margarita	—	80	73	16	4	0	1	7	17	0	0	0	219	287	315	603	96	273	21	9	276	73	—	—	—	—	—	—
2016	28	AAA	Pawtucket Red Sox	—	544	490	139	30	2	23	46	85	2	0	0	284	348	494	841	210	299	16	8	366	94	—	—	—	—	—	—
2017	29	MLB	San Francisco Giants	—	41	38	5	0	0	1	2	9	0	0	0	132	175	211	386	79	138	22	5	173	7	-5	+0	+0	-1	+1	-0.5
2017	29	AAA	Sacramento River Cats	—	67	58	12	4	0	2	6	12	2	0	0	207	303	379	682	172	222	18	9	304	50	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	174	163	34	5	0	1	6	40	1	0	0	209	241	258	499	49	262	23	3	223	37	-13	+0	-3	-24	+4	-3.7
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2006	18	ROK MLE	GCL Nationals	—	91	85	18	6	0	0	4	27	1	0	0	212	256	282	538	71	302	30	4	242	50	—	—	—	—	—	—
2007	19	A+ MLE	Potomac Nationals	—	290	268	61	9	2	8	19	89	0	0	0	228	279	366	644	138	303	31	7	287	80	—	—	—	—	—	—
2007	19	A MLE	Hagerstown Suns	—	243	228	60	12	0	12	8	52	3	0	4	263	297	474	771	211	280	21	3	329	109	—	—	—	—	—	—
2008	20	A+ MLE	Potomac Nationals	—	289	265	58	12	2	10	16	78	5	0	0	219	276	392	669	174	261	27	6	286	80	—	—	—	—	—	—
2009	21	AA MLE	Harrisburg Senators	—	84	77	20	6	0	1	6	22	1	0	1	260	321	377	698	117	349	26	7	298	88	—	—	—	—	—	—
2009	21	A+ MLE	Potomac Nationals	—	469	429	105	17	2	14	27	138	8	2	3	245	302	392	693	147	314	29	6	298	88	—	—	—	—	—	—
2010	22	AA MLE	Harrisburg Senators	—	578	540	148	27	0	14	28	128	5	1	3	274	316	402	718	128	326	22	5	311	97	—	—	—	—	—	—
2011	23	MLB MLE	Washington Nationals	—	117	109	27	5	0	0	4	27	1	0	0	248	281	294	574	46	318	23	3	254	58	-6	+0	-4	-13	+3	-2.0
2011	23	AAA MLE	Syracuse Chiefs	—	546	501	135	25	0	13	40	118	2	3	2	269	326	397	723	128	325	22	7	319	102	—	—	—	—	—	—
2012	24	AAA MLE	Syracuse Chiefs	—	144	131	29	5	1	0	12	35	1	0	0	221	292	275	566	53	297	24	8	253	57	—	—	—	—	—	—
2012	24	AA MLE	Harrisburg Senators	—	23	22	6	2	0	1	0	4	1	0	0	273	304	500	804	227	265	17	0	303	91	—	—	—	—	—	—
2013	25	MLB MLE	Washington Nationals	—	16	16	2	0	0	0	0	4	0	0	0	125	125	125	250		167	25	0	113	-37	-3	+0	+0	-10	+0	-1.2
2013	25	AAA MLE	Syracuse Chiefs	—	450	419	105	15	2	10	25	82	3	0	1	251	298	368	665	117	286	18	6	294	85	—	—	—	—	—	—
2014	26	AAA MLE	Norfolk Tides	—	151	141	29	6	1	2	7	41	1	0	0	206	248	305	553	99	267	27	5	246	53	—	—	—	—	—	—
2014	26	AA MLE	Bowie Baysox	—	241	224	47	9	1	8	13	50	2	0	0	210	259	366	625	156	227	21	5	271	70	—	—	—	—	—	—
2015	27	AAA MLE	Pawtucket Red Sox	—	244	230	53	12	1	6	12	59	0	0	0	230	269	370	638	139	279	24	5	273	71	—	—	—	—	—	—
2015	27	AA MLE	Birmingham Barons	—	38	37	11	3	0	0	1	9	0	0	0	297	316	378	694	81	370	24	3	285	79	—	—	—	—	—	—
2016	28	AAA MLE	Pawtucket Red Sox	—	544	508	125	26	2	19	28	104	2	0	0	246	288	417	705	171	267	19	5	307	94	—	—	—	—	—	—
2017	29	MLB MLE	San Francisco Giants	—	41	38	5	0	0	1	2	9	0	0	0	132	175	211	386	79	138	22	5	179	7	-5	+0	+0	-1	+1	-0.5
2017	29	AAA MLE	Sacramento River Cats	—	67	60	10	3	0	2	4	16	2	0	0	167	242	317	559	150	180	24	6	242	50	—	—	—	—	—	—
2006	18	ROK MLE	GCL Nationals	—	91	85	18	6	0	0	4	27	1	0	0	212	256	282	538	71	305	30	4	242	50	—	—	—	—	—	—
2006	18	ROK RAW	GCL Nationals	—	91	81	25	9	0	0	8	19	1	0	0	309	378	420	798	111	397	21	9	356	50	—	—	—	—	—	—
2007	19	A+ MLE	2 teams	—	533	496	122	22	2	20	27	142	3	0	4	246	289	419	708	173	299	27	5	306	93	—	—	—	—	—	—
2007	19	A+ RAW	2 teams	—	533	477	131	25	3	23	46	102	3	0	4	275	342	484	826	210	301	19	9	359	93	—	—	—	—	—	—
2008	20	A+ MLE	Potomac Nationals	—	289	265	58	12	2	10	16	78	5	0	0	219	276	392	669	174	267	27	6	286	80	—	—	—	—	—	—
2008	20	A+ RAW	Potomac Nationals	—	289	256	64	15	2	11	25	55	5	0	0	250	329	453	782	203	275	19	9	343	80	—	—	—	—	—	—
2009	21	A+ MLE	2 teams	—	553	506	125	22	2	15	33	160	9	2	4	247	305	387	692	140	327	29	6	298	88	—	—	—	—	—	—
2009	21	A+ RAW	2 teams	—	553	489	139	27	2	17	50	115	9	2	4	284	361	452	813	168	337	21	9	360	88	—	—	—	—	—	—
2010	22	AA MLE	2 teams	—	672	627	171	31	0	16	33	149	5	3	3	273	314	399	713	126	330	22	5	311	97	—	—	—	—	—	—
2010	22	AA RAW	2 teams	—	672	609	180	32	0	20	50	127	5	3	3	296	353	447	800	151	341	19	7	353	97	—	—	—	—	—	—
2011	23	AAA MLE	3 teams	—	725	667	178	33	0	15	48	158	3	3	3	267	319	384	703	117	325	22	7	308	94	—	—	—	—	—	—
2011	23	AAA RAW	3 teams	—	725	644	187	37	0	14	71	140	3	3	3	290	364	413	777	123	348	19	10	347	94	—	—	—	—	—	—
2012	24	AAA MLE	2 teams	—	167	153	35	7	1	1	12	38	2	0	0	229	293	307	601	78	298	23	7	260	62	—	—	—	—	—	—
2012	24	AAA RAW	2 teams	—	167	149	37	8	1	1	16	31	2	0	0	248	329	336	665	87	308	19	10	306	62	—	—	—	—	—	—
2013	25	AAA MLE	3 teams	—	535	499	123	17	2	12	29	99	3	0	1	246	292	361	653	114	283	19	5	288	81	—	—	—	—	—	—
2013	25	AAA RAW	3 teams	—	535	487	120	18	2	13	41	88	3	0	1	246	309	372	681	125	274	16	8	305	81	—	—	—	—	—	—
2014	26	AA MLE	3 teams	—	518	485	102	20	3	14	26	120	3	0	0	210	255	351	605	140	248	23	5	261	63	—	—	—	—	—	—
2014	26	AA RAW	3 teams	—	518	471	112	23	2	18	40	96	3	0	0	238	302	410	711	172	260	19	8	314	63	—	—	—	—	—	—
2015	27	AAA MLE	3 teams	—	362	344	81	19	1	7	16	87	0	0	0	235	269	358	627	122	294	24	4	275	72	—	—	—	—	—	—
2015	27	AAA RAW	3 teams	—	362	335	87	20	1	8	25	71	0	0	0	260	311	397	708	137	306	20	7	315	72	—	—	—	—	—	—
2016	28	AAA MLE	Pawtucket Red Sox	—	544	508	125	26	2	19	28	104	2	0	0	246	288	417	705	171	271	19	5	307	94	—	—	—	—	—	—
2016	28	AAA RAW	Pawtucket Red Sox	—	544	490	139	30	2	23	46	85	2	0	0	284	348	494	841	210	299	16	8	366	94	—	—	—	—	—	—
2017	29	AAA MLE	2 teams	—	108	98	15	3	0	3	6	25	2	0	0	153	217	276	492	122	167	23	6	218	34	—	—	—	—	—	—
2017	29	AAA RAW	2 teams	—	108	96	17	4	0	3	8	21	2	0	0	177	255	312	567	135	189	19	7	254	34	—	—	—	—	—	—
2006	18	ROK MLE	GCL Nationals	—	91	86	18	6	0	0	4	27	1	0	0	209	256	279	535	70	302	30	4	242	50	—	—	—	—	—	—
2007	19	A+ MLE	2 teams	—	533	498	122	22	2	20	27	142	3	0	4	245	289	418	707	173	293	27	5	306	93	—	—	—	—	—	—
2008	20	A+ MLE	Potomac Nationals	—	289	266	58	12	2	10	16	78	5	0	0	218	276	391	667	173	261	27	6	286	80	—	—	—	—	—	—
2009	21	A+ MLE	2 teams	—	553	506	125	22	2	15	33	160	9	2	4	247	305	387	692	140	319	29	6	298	88	—	—	—	—	—	—
2010	22	AA MLE	2 teams	—	672	629	171	31	0	16	33	149	5	3	3	272	314	397	712	126	326	22	5	311	97	—	—	—	—	—	—
2011	23	AAA MLE	3 teams	—	725	668	178	33	0	15	48	158	3	3	3	266	319	383	702	117	324	22	7	308	94	—	—	—	—	—	—
2012	24	AAA MLE	2 teams	—	167	151	35	7	1	1	12	38	2	0	0	232	293	311	605	79	293	23	7	260	62	—	—	—	—	—	—
2013	25	AAA MLE	3 teams	—	535	498	123	17	2	12	29	99	3	0	1	247	292	361	653	114	282	19	5	288	81	—	—	—	—	—	—
2014	26	AA MLE	3 teams	—	518	484	102	20	3	14	26	120	3	0	0	211	255	351	606	140	242	23	5	261	63	—	—	—	—	—	—
2015	27	AAA MLE	3 teams	—	362	343	81	19	1	7	16	87	0	0	0	236	269	359	628	122	291	24	4	275	72	—	—	—	—	—	—
2016	28	AAA MLE	Pawtucket Red Sox	—	544	509	125	26	2	19	28	104	2	0	0	246	288	417	705	171	267	19	5	307	94	—	—	—	—	—	—
2017	29	AAA MLE	2 teams	—	108	99	15	3	0	3	6	25	2	0	0	152	217	273	490	121	164	23	6	218	34	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	174	163	34	5	0	1	6	40	1	0	0	209	241	258	499	49	262	23	3	223	84	-13	+0	-3	-24	+4	-3.7
/ 162G	—	A+C		—	650	609	128	19	0	4	22	149	4	0	0	210	243	261	504	51	263	23	3	223	84	-49	+0	-13	-88	+14	-13.9
Career	—	MLE		—	5097	4733	1153	218	15	132	278	1187	38	8	15	244	291	380	671	136	295	23	5	292	84	-13	+0	-3	-24	+4	-3.7
/ 162G	—	MLE		—	650	604	147	28	2	17	35	151	5	1	2	243	290	381	671	137	294	23	5	292	84	-49	+0	-13	-88	+14	-13.9

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 AAASacramento River Cats · 67 PAwOBA .301 → .242 (−59)K% 17.9% → 23.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.91%	÷0.989	×1.290	—	—	23.36%
BB% (unintentional) /PA	8.96%	÷0.952	×0.710	—	×0.982	6.56%
HBP% /PA	2.99%	—	×0.980	—	×0.982	2.87%
Singles /BIP	13.04%	÷1.027	×0.900	×0.968	×0.982	10.86%
Doubles /BIP	8.70%	÷0.975	×0.810	×0.968	×0.982	6.87%
Triples /BIP	0.00%	÷0.920	×0.810	×0.968	×0.982	0.00%
Home runs /BIP	4.35%	÷0.889	×0.780	—	×0.982	3.75%

Factors used: league row PCL. Park (home-season share, regressed): HR 78, 1B 105, 2B 95, 3B 84, K 98, BB 90 — 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 ×0.968.

Result: wOBA .301 → .242; ISO .172 → .141; BABIP .222 → .180. 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 AAAPawtucket Red Sox · 544 PAwOBA .358 → .307 (−50)K% 15.6% → 19.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.62%	÷0.979	×1.200	—	—	19.15%
BB% (unintentional) /PA	7.72%	÷1.007	×0.690	—	×0.992	5.25%
HBP% /PA	0.37%	—	×0.940	—	×0.992	0.34%
Singles /BIP	20.74%	÷0.957	×0.930	×0.954	×0.992	19.06%
Doubles /BIP	7.41%	÷0.923	×0.830	×0.954	×0.992	6.30%
Triples /BIP	0.49%	÷0.912	×0.970	×0.954	×0.992	0.50%
Home runs /BIP	5.68%	÷0.994	×0.840	—	×0.992	4.76%

Factors used: league row IL. Park (home-season share, regressed): HR 99, 1B 91, 2B 85, 3B 82, K 96, BB 101 — 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 ×0.954.

Result: wOBA .358 → .307; ISO .210 → .180; BABIP .299 → .267. 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 AAAPawtucket Red Sox · 244 PAwOBA .318 → .273 (−45)K% 19.3% → 24.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.26%	÷0.956	×1.200	—	—	24.19%
BB% (unintentional) /PA	6.97%	÷0.996	×0.690	—	×1.003	4.84%
HBP% /PA	0.00%	—	×0.940	—	×1.003	0.00%
Singles /BIP	21.35%	÷0.989	×0.930	×0.986	×1.003	19.86%
Doubles /BIP	7.30%	÷0.867	×0.830	×0.986	×1.003	6.92%
Triples /BIP	0.56%	÷1.012	×0.970	×0.986	×1.003	0.53%
Home runs /BIP	3.93%	÷1.012	×0.840	—	×1.003	3.27%

Factors used: league row IL. Park (home-season share, regressed): HR 102, 1B 98, 2B 73, 3B 102, K 91, BB 99 — 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 ×0.986.

Result: wOBA .318 → .273; ISO .160 → .137; BABIP .301 → .279. 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 AABirmingham Barons · 38 PAwOBA .325 → .285 (−40)K% 18.4% → 22.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.42%	÷0.981	×1.220	—	—	22.90%
BB% (unintentional) /PA	2.63%	÷1.019	×0.680	—	×0.978	1.72%
HBP% /PA	0.00%	—	×0.840	—	×0.978	0.00%
Singles /BIP	30.00%	÷1.007	×0.920	—	×0.978	26.81%
Doubles /BIP	10.00%	÷0.875	×0.910	—	×0.978	10.17%
Triples /BIP	0.00%	÷1.087	×0.880	—	×0.978	0.00%
Home runs /BIP	0.00%	÷1.102	×0.800	—	×0.978	0.00%

Factors used: league row SL. Park (home-season share, regressed): HR 120, 1B 101, 2B 75, 3B 117, K 96, BB 104 — 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).

Result: wOBA .325 → .285; ISO .081 → .079; BABIP .400 → .370. 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 AABowie Baysox · 241 PAwOBA .317 → .271 (−46)K% 16.6% → 20.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.60%	÷0.980	×1.220	—	—	20.65%
BB% (unintentional) /PA	8.30%	÷1.082	×0.700	—	×0.988	5.31%
HBP% /PA	0.83%	—	×0.850	—	×0.988	0.70%
Singles /BIP	16.95%	÷0.972	×0.970	×0.985	×0.988	16.46%
Doubles /BIP	5.65%	÷0.969	×0.860	×0.985	×0.988	4.88%
Triples /BIP	0.56%	÷0.900	×0.950	×0.985	×0.988	0.58%
Home runs /BIP	5.65%	÷0.919	×0.780	—	×0.988	4.74%

Factors used: league row EL. Park (home-season share, regressed): HR 84, 1B 94, 2B 94, 3B 80, K 96, BB 116 — 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 ×0.985.

Result: wOBA .317 → .271; ISO .194 → .165; BABIP .243 → .227. 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 AAANorfolk Tides · 151 PAwOBA .290 → .246 (−45)K% 23.2% → 27.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.18%	÷1.025	×1.200	—	—	27.15%
BB% (unintentional) /PA	6.62%	÷1.025	×0.690	—	×1.018	4.54%
HBP% /PA	0.66%	—	×0.940	—	×1.018	0.63%
Singles /BIP	21.36%	÷1.027	×0.930	×0.987	×1.018	19.44%
Doubles /BIP	6.80%	÷0.899	×0.830	×0.987	×1.018	6.30%
Triples /BIP	0.97%	÷1.007	×0.970	×0.987	×1.018	0.94%
Home runs /BIP	2.91%	÷1.223	×0.840	—	×1.018	2.04%

Factors used: league row IL. Park (home-season share, regressed): HR 145, 1B 105, 2B 80, 3B 101, K 105, 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 ×0.987.

Result: wOBA .290 → .246; ISO .130 → .106; BABIP .294 → .267. 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 · 450 PAwOBA .320 → .294 (−26)K% 14.9% → 18.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.89%	÷0.979	×1.200	—	—	18.26%
BB% (unintentional) /PA	7.56%	÷0.966	×0.690	—	×1.033	5.58%
HBP% /PA	0.67%	—	×0.940	—	×1.033	0.65%
Singles /BIP	23.46%	÷0.991	×0.930	×1.012	×1.033	23.02%
Doubles /BIP	4.99%	÷0.979	×0.830	×1.012	×1.033	4.42%
Triples /BIP	0.59%	÷1.055	×0.970	×1.012	×1.033	0.56%
Home runs /BIP	3.23%	÷0.914	×0.840	—	×1.033	3.06%

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 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 ×1.012.

Result: wOBA .320 → .294; ISO .132 → .123; BABIP .297 → .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).

2012 AAASyracuse Chiefs · 144 PAwOBA .291 → .253 (−38)K% 19.4% → 24.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.44%	÷0.964	×1.200	—	—	24.20%
BB% (unintentional) /PA	11.11%	÷0.984	×0.690	—	×1.048	8.17%
HBP% /PA	0.69%	—	×0.940	—	×1.048	0.68%
Singles /BIP	24.24%	÷0.992	×0.930	×0.986	×1.048	23.49%
Doubles /BIP	6.06%	÷1.002	×0.830	×0.986	×1.048	5.19%
Triples /BIP	1.01%	÷1.008	×0.970	×0.986	×1.048	1.00%
Home runs /BIP	0.00%	÷0.925	×0.840	—	×1.048	0.00%

Factors used: league row IL. Park (home-season share, regressed): HR 85, 1B 98, 2B 100, 3B 102, K 93, BB 97 — 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 ×0.986.

Result: wOBA .291 → .253; ISO .063 → .055; BABIP .313 → .297. 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 — .