Kristopher Negrón

Pos3B

B/TR/R

Born1986-02-01

Age (2027)41

No MLB projection yet. Career stats below are historical.

Overview

AAALAST SEASON 2019

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2017	31	AAAARI	437	.300/.368/.501	13	13	74	—	.228/.282/.361
2017	31	MLBARI	31	.160/.300/.200	0	0	48	0.4
2018	32	AAAARI	425	.283/.370/.477	15	10	64	—	.204/.270/.326
2018	32	MLBSEA	33	.219/.242/.312	1	2	56	0.2
2019	33	AAASEA	356	.310/.401/.503	12	11	78	—	.227/.295/.355
2019	33	MLBLAD	82	.247/.293/.338	2	1	75	-0.4
2020	34	No MLB games played
2021	35	No MLB games played
2022	36	No MLB games played
2023	37	No MLB games played
2024	38	No MLB games played
2025	39	No MLB games played
2026	40	No MLB games played

Last 3 seasons WAR 0.3

Contract

No contract data on file.

Scouting grades · 20-80

Power39Speed72Eye57

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	20	ROK	GCL Red Sox	—	162	142	37	6	2	2	12	20	5	10	0	261	340	373	713	113	292	12	7	318	41	—	—	—	—	—	—
2007	21	A	Greenville Drive	—	467	403	91	11	4	3	46	97	13	29	7	226	325	295	620	69	290	21	10	288	48	—	—	—	—	—	—
2008	22	A+	Lancaster JetHawks	—	131	116	38	8	3	7	5	25	6	6	1	328	386	629	1.015	302	356	19	4	425	132	—	—	—	—	—	—
2008	22	A	Greenville Drive	—	362	311	76	15	5	1	31	48	10	25	5	244	332	334	667	90	282	13	9	299	61	—	—	—	—	—	—
2009	23	AA	Carolina Mudcats	—	67	54	13	2	0	2	8	7	4	4	1	241	379	389	768	148	244	10	12	349	95	—	—	—	—	—	—
2009	23	A+	Sarasota Reds	—	493	433	113	17	4	4	44	91	8	23	4	261	340	346	687	85	321	18	9	310	65	—	—	—	—	—	—
2010	24	AAA	Louisville Bats	—	21	21	4	1	0	0	0	6	0	1	0	190	190	238	429	48	267	29	0	190	-4	—	—	—	—	—	—
2010	24	AA	Carolina Mudcats	—	547	470	128	19	6	11	51	97	16	34	9	272	363	409	772	136	321	18	9	343	84	—	—	—	—	—	—
2010	24	INTL	Peoria Saguaros	—	91	81	24	4	4	4	8	24	0	0	1	296	360	593	952	296	377	26	9	400	157	—	—	—	—	—	—
2011	25	AAA	Louisville Bats	—	465	417	90	16	4	9	22	102	10	11	1	216	272	338	610	122	260	22	5	266	45	—	—	—	—	—	—
2012	26	AAA	Louisville Bats	—	319	284	62	13	2	6	22	77	6	17	3	218	288	342	630	123	276	24	7	280	42	—	—	—	—	—	—
2013	27	AAA	Louisville Bats	—	379	334	75	14	1	5	26	93	9	11	3	225	298	317	615	93	292	25	7	276	45	—	—	—	—	—	—
2013	27	INTL	Criollos de Caguas	—	106	90	19	4	2	0	7	28	4	3	0	211	297	300	597	89	288	26	7	264	65	—	—	—	—	—	—
2014	28	MLB	Cincinnati Reds	—	158	144	39	10	1	6	12	40	1	5	0	271	331	479	810	208	337	25	8	354	121	+4	+1	+4	+1	+3	1.4
2014	28	AAA	Louisville Bats	—	240	219	59	15	3	3	14	54	5	9	2	269	328	406	734	137	346	22	6	326	61	—	—	—	—	—	—
2015	29	MLB	Cincinnati Reds	—	107	93	13	2	0	0	9	23	3	2	0	140	238	161	399	22	186	21	8	196	18	-10	+0	+1	+4	+2	-0.3
2015	29	AAA	Louisville Bats	—	230	204	44	5	1	4	15	47	4	3	1	216	283	309	591	93	258	20	7	263	36	—	—	—	—	—	—
2016	30	AAA	Iowa Cubs	—	419	375	96	20	4	9	20	90	11	23	6	256	313	403	715	147	309	21	5	310	65	—	—	—	—	—	—
2017	31	MLB	Arizona Diamondbacks	—	31	25	4	1	0	0	4	7	1	0	0	160	300	200	500	40	222	23	13	243	48	-2	+0	+0	+5	+1	0.4
2017	31	AAA	Reno Aces	—	437	387	116	17	11	13	35	88	7	13	3	300	368	501	870	202	356	20	8	375	74	—	—	—	—	—	—
2018	32	MLB	Seattle Mariners	—	33	32	7	0	0	1	1	9	0	2	0	219	242	312	555	94	273	27	3	249	56	-2	+0	+1	+2	+1	0.2
2018	32	AAA	Reno Aces	—	425	371	105	17	5	15	43	121	8	10	3	283	370	477	847	194	380	28	10	373	64	—	—	—	—	—	—
2019	33	MLB	Los Angeles Dodgers	—	82	77	19	1	0	2	5	26	0	1	1	247	293	338	630	91	347	32	6	286	75	-2	-0	+2	-5	+2	-0.4
2019	33	AAA	Tacoma Rainiers	—	356	306	95	15	4	12	41	91	5	11	3	310	401	503	904	193	401	26	12	396	78	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	411	371	82	14	1	9	31	105	5	10	1	221	290	337	627	116	284	26	8	283	77	-11	+2	+9	+7	+9	1.6
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2006	20	ROK MLE	GCL Red Sox	—	162	147	29	4	1	2	7	29	5	10	0	197	258	279	537	82	225	18	4	229	41	—	—	—	—	—	—
2007	21	A MLE	Greenville Drive	—	467	418	84	9	4	2	31	130	13	29	7	201	277	256	533	55	279	28	7	239	48	—	—	—	—	—	—
2008	22	A+ MLE	Lancaster JetHawks	—	131	117	33	7	2	6	4	34	6	6	1	282	339	530	868	248	316	26	3	363	132	—	—	—	—	—	—
2008	22	A MLE	Greenville Drive	—	362	322	73	13	5	1	20	64	10	25	5	227	293	307	600	81	262	18	6	258	61	—	—	—	—	—	—
2009	23	AA MLE	Carolina Mudcats	—	67	56	13	2	0	2	6	9	4	4	1	232	348	375	723	143	240	13	9	308	95	—	—	—	—	—	—
2009	23	A+ MLE	Sarasota Reds	—	493	445	102	16	3	3	32	129	8	23	4	229	293	299	592	70	306	26	6	264	65	—	—	—	—	—	—
2010	24	AAA MLE	Louisville Bats	—	21	21	4	1	0	0	0	8	0	1	0	190	190	238	429	48	259	38	0	162	-4	—	—	—	—	—	—
2010	24	AA MLE	Carolina Mudcats	—	547	487	119	17	5	9	34	123	16	34	9	244	315	355	670	111	298	22	6	292	84	—	—	—	—	—	—
2011	25	AAA MLE	Louisville Bats	—	465	424	83	14	4	8	15	126	10	11	1	196	241	304	545	108	243	27	3	235	45	—	—	—	—	—	—
2012	26	AAA MLE	Louisville Bats	—	319	291	55	11	2	5	15	96	6	17	3	189	244	292	536	103	249	30	5	230	42	—	—	—	—	—	—
2013	27	AAA MLE	Louisville Bats	—	379	343	69	12	1	4	17	116	9	11	3	201	257	277	534	76	273	31	4	235	45	—	—	—	—	—	—
2014	28	MLB MLE	Cincinnati Reds	—	158	144	39	10	1	6	12	40	1	5	0	271	331	479	810	208	337	25	8	347	121	+4	+1	+4	+1	+3	1.4
2014	28	AAA MLE	Louisville Bats	—	240	223	50	11	2	3	10	70	5	9	2	224	273	332	605	108	306	29	4	258	61	—	—	—	—	—	—
2015	29	MLB MLE	Cincinnati Reds	—	107	93	13	2	0	0	9	23	3	2	0	140	238	161	399	22	186	21	8	195	18	-10	+0	+1	+4	+2	-0.3
2015	29	AAA MLE	Louisville Bats	—	230	210	39	4	1	3	9	57	4	3	1	186	233	257	490	71	231	25	4	222	36	—	—	—	—	—	—
2016	30	AAA MLE	Iowa Cubs	—	419	382	86	18	3	8	13	112	11	23	6	225	271	351	622	126	275	27	3	264	65	—	—	—	—	—	—
2017	31	MLB MLE	Arizona Diamondbacks	—	31	25	4	1	0	0	4	7	1	0	0	160	300	200	500	40	222	23	13	239	48	-2	+0	+0	+5	+1	0.4
2017	31	AAA MLE	Reno Aces	—	437	399	91	12	7	9	23	124	7	13	3	228	282	361	643	133	297	28	5	278	74	—	—	—	—	—	—
2018	32	MLB MLE	Seattle Mariners	—	33	32	7	0	0	1	1	9	0	2	0	219	242	312	555	94	273	27	3	251	56	-2	+0	+1	+2	+1	0.2
2018	32	AAA MLE	Reno Aces	—	425	387	79	11	3	10	27	158	8	10	3	204	270	326	596	121	308	37	6	263	64	—	—	—	—	—	—
2019	33	MLB MLE	Los Angeles Dodgers	—	82	78	19	1	0	2	4	26	0	1	1	244	280	333	614	90	347	32	5	279	75	-2	-0	+2	-5	+2	-0.4
2019	33	AAA MLE	Tacoma Rainiers	—	356	321	73	11	3	8	26	119	5	11	3	227	295	355	651	128	317	33	7	284	78	—	—	—	—	—	—
2006	20	ROK MLE	GCL Red Sox	—	162	147	29	4	1	2	7	29	5	10	0	197	258	279	537	82	233	18	4	229	41	—	—	—	—	—	—
2006	20	ROK RAW	GCL Red Sox	—	162	142	37	6	2	2	12	20	5	10	0	261	340	373	713	113	292	12	7	318	41	—	—	—	—	—	—
2007	21	A MLE	Greenville Drive	—	467	418	84	9	4	2	31	130	13	29	7	201	277	256	533	55	287	28	7	239	48	—	—	—	—	—	—
2007	21	A RAW	Greenville Drive	—	467	403	91	11	4	3	46	97	13	29	7	226	325	295	620	69	290	21	10	288	48	—	—	—	—	—	—
2008	22	A MLE	2 teams	—	493	440	106	20	7	7	23	98	16	31	6	241	303	366	669	125	289	20	5	286	80	—	—	—	—	—	—
2008	22	A RAW	2 teams	—	493	427	114	23	8	8	36	73	16	31	6	267	347	415	761	148	300	15	7	332	80	—	—	—	—	—	—
2009	23	A+ MLE	2 teams	—	560	501	115	18	3	5	38	138	12	27	5	230	299	307	607	78	306	25	7	269	68	—	—	—	—	—	—
2009	23	A+ RAW	2 teams	—	560	487	126	19	4	6	52	98	12	27	5	259	345	351	696	92	312	18	9	315	68	—	—	—	—	—	—
2010	24	AA MLE	3 teams	—	659	591	143	21	6	11	40	151	16	35	10	242	308	354	661	112	306	23	6	287	81	—	—	—	—	—	—
2010	24	AA RAW	3 teams	—	659	572	156	24	10	15	59	127	16	35	10	273	357	428	785	156	326	19	9	346	81	—	—	—	—	—	—
2011	25	AAA MLE	Louisville Bats	—	465	424	83	14	4	8	15	126	10	11	1	196	241	304	545	108	254	27	3	235	45	—	—	—	—	—	—
2011	25	AAA RAW	Louisville Bats	—	465	417	90	16	4	9	22	102	10	11	1	216	272	338	610	122	260	22	5	266	45	—	—	—	—	—	—
2012	26	AAA MLE	Louisville Bats	—	319	291	55	11	2	5	15	96	6	17	3	189	244	292	536	103	260	30	5	230	42	—	—	—	—	—	—
2012	26	AAA RAW	Louisville Bats	—	319	284	62	13	2	6	22	77	6	17	3	218	288	342	630	123	276	24	7	280	42	—	—	—	—	—	—
2013	27	AAA MLE	2 teams	—	485	436	88	16	1	5	21	148	13	14	3	202	260	278	537	76	285	31	4	235	45	—	—	—	—	—	—
2013	27	AAA RAW	2 teams	—	485	424	94	18	3	5	33	121	13	14	3	222	298	314	612	92	291	25	7	273	45	—	—	—	—	—	—
2014	28	AAA MLE	2 teams	—	398	367	88	21	3	8	22	110	6	14	2	240	294	379	672	139	321	28	6	293	85	—	—	—	—	—	—
2014	28	AAA RAW	2 teams	—	398	363	98	25	4	9	26	94	6	14	2	270	329	435	764	165	342	24	7	337	85	—	—	—	—	—	—
2015	29	AAA MLE	2 teams	—	337	303	52	6	1	3	18	80	7	5	1	172	235	228	462	56	221	24	5	213	31	—	—	—	—	—	—
2015	29	AAA RAW	2 teams	—	337	297	57	7	1	4	24	70	7	5	1	192	268	263	531	71	236	21	7	242	31	—	—	—	—	—	—
2016	30	AAA MLE	Iowa Cubs	—	419	382	86	18	3	8	13	112	11	23	6	225	271	351	622	126	291	27	3	264	65	—	—	—	—	—	—
2016	30	AAA RAW	Iowa Cubs	—	419	375	96	20	4	9	20	90	11	23	6	256	313	403	715	147	309	21	5	310	65	—	—	—	—	—	—
2017	31	AAA MLE	2 teams	—	468	424	95	13	7	9	27	131	8	13	3	224	283	351	635	127	300	28	6	275	73	—	—	—	—	—	—
2017	31	AAA RAW	2 teams	—	468	412	120	18	11	13	39	95	8	13	3	291	364	483	847	192	349	20	8	367	73	—	—	—	—	—	—
2018	32	AAA MLE	2 teams	—	458	419	86	11	3	11	28	167	8	12	3	205	268	325	593	119	309	36	6	262	64	—	—	—	—	—	—
2018	32	AAA RAW	2 teams	—	458	403	112	17	5	16	44	130	8	12	3	278	360	464	824	186	371	28	10	364	64	—	—	—	—	—	—
2019	33	AAA MLE	2 teams	—	438	399	92	12	3	10	30	145	5	12	4	231	293	351	644	120	331	33	7	283	78	—	—	—	—	—	—
2019	33	AAA RAW	2 teams	—	438	383	114	16	4	14	46	117	5	12	4	298	380	470	850	172	391	27	11	375	78	—	—	—	—	—	—
2006	20	ROK MLE	GCL Red Sox	—	162	149	29	4	1	2	7	29	5	10	0	195	258	275	533	81	225	18	4	229	41	—	—	—	—	—	—
2007	21	A MLE	Greenville Drive	—	467	420	84	9	4	2	31	130	13	29	7	200	277	255	532	55	279	28	7	239	48	—	—	—	—	—	—
2008	22	A MLE	2 teams	—	493	451	106	20	7	7	23	98	16	31	6	235	303	357	660	122	276	20	5	286	80	—	—	—	—	—	—
2009	23	A+ MLE	2 teams	—	560	505	115	18	3	5	38	138	12	27	5	228	299	305	604	77	298	25	7	269	68	—	—	—	—	—	—
2010	24	AA MLE	3 teams	—	659	598	143	21	6	11	40	151	16	35	10	239	308	349	657	110	297	23	6	287	81	—	—	—	—	—	—
2011	25	AAA MLE	Louisville Bats	—	465	437	83	14	4	8	15	126	10	11	1	190	241	295	536	105	243	27	3	235	45	—	—	—	—	—	—
2012	26	AAA MLE	Louisville Bats	—	319	295	55	11	2	5	15	96	6	17	3	186	244	288	532	102	249	30	5	230	42	—	—	—	—	—	—
2013	27	AAA MLE	2 teams	—	485	448	88	16	1	5	21	148	13	14	3	196	260	270	530	74	273	31	4	235	45	—	—	—	—	—	—
2014	28	AAA MLE	2 teams	—	398	367	88	21	3	8	22	110	6	14	2	240	294	379	672	139	318	28	6	293	85	—	—	—	—	—	—
2015	29	AAA MLE	2 teams	—	337	309	52	6	1	3	18	80	7	5	1	168	235	223	458	55	217	24	5	213	31	—	—	—	—	—	—
2016	30	AAA MLE	Iowa Cubs	—	419	392	86	18	3	8	13	112	11	23	6	219	271	342	613	122	275	27	3	264	65	—	—	—	—	—	—
2017	31	AAA MLE	2 teams	—	468	430	95	13	7	9	27	131	8	13	3	221	283	347	630	126	292	28	6	275	73	—	—	—	—	—	—
2018	32	AAA MLE	2 teams	—	458	419	86	11	3	11	28	167	8	12	3	205	268	325	593	119	305	36	6	262	64	—	—	—	—	—	—
2019	33	AAA MLE	2 teams	—	438	400	92	12	3	10	30	145	5	12	4	230	293	350	643	120	323	33	7	283	78	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	411	371	82	14	1	9	31	105	5	10	1	221	290	337	627	116	284	26	8	283	63	-11	+2	+9	+7	+9	1.6
/ 162G	—	A+C		—	650	587	130	22	2	14	49	166	8	16	2	221	290	337	628	116	285	26	8	283	63	-18	+3	+15	+11	+14	2.5
Career	—	MLE		—	6128	5542	1202	194	48	94	328	1661	136	253	54	217	277	320	597	103	289	27	5	261	63	-11	+2	+9	+7	+9	1.6
/ 162G	—	MLE		—	650	588	128	21	5	10	35	176	14	27	6	218	278	321	599	104	290	27	5	261	63	-18	+3	+15	+11	+14	2.5

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 AAATacoma Rainiers · 356 PAwOBA .390 → .284 (−106)K% 25.6% → 33.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.56%	÷0.990	×1.290	—	—	33.30%
BB% (unintentional) /PA	11.52%	÷1.039	×0.710	—	×0.942	7.41%
HBP% /PA	1.40%	—	×0.980	—	×0.942	1.30%
Singles /BIP	29.77%	÷0.985	×0.900	×0.962	×0.942	24.66%
Doubles /BIP	6.98%	÷0.998	×0.810	×0.962	×0.942	5.13%
Triples /BIP	1.86%	÷1.073	×0.810	×0.962	×0.942	1.27%
Home runs /BIP	5.58%	÷1.049	×0.780	—	×0.942	3.91%

Factors used: league row PCL. Park (home-season share, regressed): HR 110, 1B 97, 2B 100, 3B 115, K 98, BB 108 — applied at half strength. Age: age 33 vs a level average of 27.2 → −5.8% on BB/HBP/hit rates (5.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.962.

Result: wOBA .390 → .284; ISO .193 → .131; BABIP .401 → .317. 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 AAAReno Aces · 425 PAwOBA .365 → .263 (−102)K% 28.5% → 37.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	28.47%	÷0.991	×1.290	—	—	37.07%
BB% (unintentional) /PA	10.12%	÷1.069	×0.710	—	×0.952	6.39%
HBP% /PA	1.88%	—	×0.980	—	×0.952	1.76%
Singles /BIP	27.20%	÷1.024	×0.900	×1.032	×0.952	23.49%
Doubles /BIP	6.80%	÷1.117	×0.810	×1.032	×0.952	4.84%
Triples /BIP	2.00%	÷1.150	×0.810	×1.032	×0.952	1.38%
Home runs /BIP	6.00%	÷1.044	×0.780	—	×0.952	4.27%

Factors used: league row PCL. Park (home-season share, regressed): HR 109, 1B 105, 2B 123, 3B 130, K 98, BB 114 — 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 ×1.032.

Result: wOBA .365 → .263; ISO .194 → .128; BABIP .380 → .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).

2017 AAAReno Aces · 437 PAwOBA .367 → .278 (−89)K% 20.1% → 28.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.14%	÷0.919	×1.290	—	—	28.27%
BB% (unintentional) /PA	7.78%	÷1.007	×0.710	—	×0.962	5.27%
HBP% /PA	1.60%	—	×0.980	—	×0.962	1.51%
Singles /BIP	25.08%	÷0.992	×0.900	×1.021	×0.962	22.36%
Doubles /BIP	5.69%	÷1.089	×0.810	×1.021	×0.962	4.15%
Triples /BIP	3.68%	÷1.150	×0.810	×1.021	×0.962	2.55%
Home runs /BIP	4.35%	÷1.044	×0.780	—	×0.962	3.12%

Factors used: league row PCL. Park (home-season share, regressed): HR 109, 1B 98, 2B 118, 3B 130, K 84, BB 102 — 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 ×1.021.

Result: wOBA .367 → .278; ISO .202 → .137; BABIP .356 → .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).

2016 AAAIowa Cubs · 419 PAwOBA .306 → .264 (−42)K% 21.5% → 26.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.48%	÷1.037	×1.290	—	—	26.72%
BB% (unintentional) /PA	4.77%	÷1.034	×0.710	—	×0.972	3.18%
HBP% /PA	2.63%	—	×0.980	—	×0.972	2.50%
Singles /BIP	22.11%	÷1.006	×0.900	×1.038	×0.972	19.96%
Doubles /BIP	7.02%	÷0.927	×0.810	×1.038	×0.972	6.19%
Triples /BIP	1.40%	÷0.945	×0.810	×1.038	×0.972	1.21%
Home runs /BIP	3.16%	÷0.890	×0.780	—	×0.972	2.69%

Factors used: league row PCL. Park (home-season share, regressed): HR 78, 1B 101, 2B 85, 3B 89, K 107, BB 107 — 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 ×1.038.

Result: wOBA .306 → .264; ISO .147 → .126; BABIP .309 → .275. 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 AAALouisville Bats · 230 PAwOBA .257 → .222 (−35)K% 20.4% → 24.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.43%	÷0.991	×1.200	—	—	24.75%
BB% (unintentional) /PA	6.09%	÷1.023	×0.690	—	×0.982	4.03%
HBP% /PA	1.74%	—	×0.940	—	×0.982	1.61%
Singles /BIP	21.66%	÷0.999	×0.930	×0.992	×0.982	19.63%
Doubles /BIP	3.18%	÷0.975	×0.830	×0.992	×0.982	2.64%
Triples /BIP	0.64%	÷0.922	×0.970	×0.992	×0.982	0.65%
Home runs /BIP	2.55%	÷1.009	×0.840	—	×0.982	2.08%

Factors used: league row IL. Park (home-season share, regressed): HR 102, 1B 100, 2B 95, 3B 84, K 98, BB 105 — 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 ×0.992.

Result: wOBA .257 → .222; ISO .093 → .080; BABIP .258 → .231. 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 AAALouisville Bats · 240 PAwOBA .317 → .258 (−59)K% 22.5% → 29.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.50%	÷0.926	×1.200	—	—	29.16%
BB% (unintentional) /PA	5.83%	÷1.008	×0.690	—	×0.992	3.96%
HBP% /PA	2.08%	—	×0.940	—	×0.992	1.94%
Singles /BIP	23.03%	÷0.999	×0.930	×1.019	×0.992	21.69%
Doubles /BIP	9.09%	÷1.108	×0.830	×1.019	×0.992	6.88%
Triples /BIP	1.82%	÷1.150	×0.970	×1.019	×0.992	1.55%
Home runs /BIP	1.82%	÷0.928	×0.840	—	×0.992	1.63%

Factors used: league row IL. Park (home-season share, regressed): HR 86, 1B 100, 2B 122, 3B 130, K 85, BB 102 — 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 ×1.019.

Result: wOBA .317 → .258; ISO .137 → .106; BABIP .346 → .306. 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 AAALouisville Bats · 379 PAwOBA .272 → .235 (−37)K% 24.5% → 30.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.54%	÷0.961	×1.200	—	—	30.63%
BB% (unintentional) /PA	6.86%	÷1.075	×0.690	—	×1.003	4.42%
HBP% /PA	2.37%	—	×0.940	—	×1.003	2.24%
Singles /BIP	22.82%	÷1.000	×0.930	×1.022	×1.003	21.74%
Doubles /BIP	5.81%	÷0.960	×0.830	×1.022	×1.003	5.14%
Triples /BIP	0.41%	÷0.900	×0.970	×1.022	×1.003	0.46%
Home runs /BIP	2.07%	÷1.038	×0.840	—	×1.003	1.68%

Factors used: league row IL. Park (home-season share, regressed): HR 108, 1B 100, 2B 92, 3B 80, K 92, BB 115 — 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 ×1.022.

Result: wOBA .272 → .235; ISO .093 → .079; BABIP .292 → .273. 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 AAALouisville Bats · 319 PAwOBA .274 → .230 (−44)K% 24.1% → 30.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.14%	÷0.967	×1.200	—	—	29.95%
BB% (unintentional) /PA	6.90%	÷1.034	×0.690	—	×1.018	4.69%
HBP% /PA	1.88%	—	×0.940	—	×1.018	1.80%
Singles /BIP	19.81%	÷1.046	×0.930	×1.011	×1.018	18.13%
Doubles /BIP	6.28%	÷1.002	×0.830	×1.011	×1.018	5.35%
Triples /BIP	0.97%	÷0.900	×0.970	×1.011	×1.018	1.07%
Home runs /BIP	2.90%	÷1.087	×0.840	—	×1.018	2.28%

Factors used: league row IL. Park (home-season share, regressed): HR 117, 1B 109, 2B 100, 3B 80, K 93, BB 107 — 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 ×1.011.

Result: wOBA .274 → .230; ISO .123 → .102; BABIP .276 → .249. 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 — .