Neil Walker

Pos2B

B/TS/R

Born1985-09-10

Age (2027)41

No MLB projection yet. Career stats below are historical.

Overview

MLBLAST SEASON 2020

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR
2018	32	MLBNYY	398	.219/.312/.354	11	0	84	-1.5
2019	33	MLBMIA	381	.261/.345/.395	8	3	118	0.8
2020	34	MLBPHI	41	.231/.250/.308	0	0	52	-0.1
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 -0.8

Contract

No contract data on file.

Skills · percentileStatcast 2018-2020

xwOBA69

Barrel%34

Avg EV24

Speed10

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)
2005	19	A+	Lynchburg Hillcats	—	45	42	11	2	1	0	0	12	0	0	0	262	262	357	619	95	333	27	0	254	42	—	—	—	—	—	—
2005	19	A	Hickory Crawdads	—	518	485	146	33	2	12	20	71	6	7	4	301	337	452	788	151	328	14	4	345	84	—	—	—	—	—	—
2006	20	AA	Altoona Curve	—	32	31	5	0	0	2	1	4	0	0	0	161	188	355	542	194	120	12	3	237	20	—	—	—	—	—	—
2006	20	A+	Lynchburg Hillcats	—	294	264	75	22	1	3	19	41	6	3	5	284	346	409	755	125	326	14	6	334	76	—	—	—	—	—	—
2007	21	AAA	Indianapolis Indians	—	69	64	13	3	0	0	2	13	3	1	1	203	261	250	511	47	255	19	3	239	23	—	—	—	—	—	—
2007	21	AA	Altoona Curve	—	490	431	124	30	3	13	53	73	0	9	4	288	366	462	827	174	317	15	11	363	105	—	—	—	—	—	—
2008	22	AAA	Indianapolis Indians	—	550	505	122	25	7	16	29	102	2	10	6	242	285	414	699	172	267	19	5	301	68	—	—	—	—	—	—
2009	23	MLB	Pittsburgh Pirates	—	40	36	7	1	0	0	4	11	0	1	0	194	275	222	497	28	280	28	10	238	47	-3	+0	-2	+2	+1	-0.1
2009	23	AAA	Indianapolis Indians	—	390	356	94	31	2	14	26	60	1	5	2	264	316	480	796	216	278	15	7	343	86	—	—	—	—	—	—
2009	23	ROK	GCL Pirates	—	32	30	5	2	0	1	1	5	1	0	1	167	219	333	552	167	167	16	3	247	-4	—	—	—	—	—	—
2010	24	MLB	Pittsburgh Pirates	—	469	426	126	29	3	12	34	83	3	2	3	296	352	462	814	167	340	18	7	356	128	+15	-1	-9	+2	+10	1.8
2010	24	AAA	Indianapolis Indians	—	189	168	54	18	2	6	19	31	1	10	1	321	394	560	953	238	364	16	10	414	109	—	—	—	—	—	—
2011	25	MLB	Pittsburgh Pirates	—	662	596	163	36	4	12	54	112	4	9	6	273	338	408	746	134	315	17	8	330	107	+5	-1	-3	+2	+14	1.9
2012	26	MLB	Pittsburgh Pirates	—	530	472	132	27	0	14	47	104	2	7	5	280	347	426	773	146	326	20	9	340	117	+11	-1	-1	+2	+11	2.3
2013	27	MLB	Pittsburgh Pirates	—	551	478	120	24	4	16	50	85	15	1	2	251	341	418	759	167	274	15	9	336	112	+8	-1	-2	+2	+12	2.0
2014	28	MLB	Pittsburgh Pirates	—	571	512	139	25	3	23	45	88	11	2	2	271	343	467	810	195	288	15	8	357	130	+20	-0	-1	+2	+12	3.4
2015	29	MLB	Pittsburgh Pirates	—	603	543	146	32	3	16	44	110	8	4	1	269	333	427	760	158	306	18	7	335	110	+7	+0	-2	+2	+13	2.2
2016	30	MLB	New York Mets	—	458	412	116	9	1	23	42	84	1	3	1	282	349	476	825	194	302	18	9	363	133	+18	+0	-4	+2	+10	2.6
2017	31	MLB	Milwaukee Brewers	—	448	385	102	21	2	14	55	77	5	0	2	265	364	439	803	174	297	17	12	358	127	+15	-1	-0	+2	+10	2.5
2017	31	AAA	Las Vegas 51s	—	20	19	5	1	0	0	1	1	0	0	0	263	300	316	616	53	278	5	5	280	36	—	—	—	—	—	—
2018	32	MLB	New York Yankees	—	398	347	76	12	1	11	42	87	5	0	0	219	312	354	667	135	257	22	11	301	84	-7	+0	-9	-7	+9	-1.5
2019	33	MLB	Miami Marlins	—	381	337	88	19	1	8	42	77	1	3	0	261	345	395	739	134	316	20	11	333	118	+8	+1	-2	-7	+8	0.8
2020	34	MLB	Philadelphia Phillies	—	41	39	9	3	0	0	1	13	0	0	0	231	250	308	558	77	333	32	2	243	52	-2	+0	+0	+0	+1	-0.1
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	5152	4583	1224	238	22	149	460	931	55	32	22	267	341	426	767	159	303	18	9	340	116	+98	-2	-34	+4	+112	18.1
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2005	19	A+ MLE	Lynchburg Hillcats	—	45	42	10	2	1	0	0	17	0	0	0	238	238	333	571	95	313	38	0	230	42	—	—	—	—	—	—
2005	19	A MLE	Hickory Crawdads	—	518	493	130	27	2	10	12	95	6	7	4	264	290	387	677	124	298	18	2	292	84	—	—	—	—	—	—
2006	20	AA MLE	Altoona Curve	—	32	31	5	0	0	2	1	5	0	0	0	161	188	355	542	194	120	16	3	198	20	—	—	—	—	—	—
2006	20	A+ MLE	Lynchburg Hillcats	—	294	271	68	18	1	3	12	58	6	3	5	251	298	358	656	107	300	20	4	280	76	—	—	—	—	—	—
2007	21	AAA MLE	Indianapolis Indians	—	69	65	11	2	0	0	1	16	3	1	1	169	217	200	417	31	231	23	1	202	23	—	—	—	—	—	—
2007	21	AA MLE	Altoona Curve	—	490	448	121	27	3	11	36	89	0	9	4	270	324	417	742	147	307	18	7	323	105	—	—	—	—	—	—
2008	22	AAA MLE	Indianapolis Indians	—	550	513	114	22	7	14	21	123	2	10	6	222	256	374	630	152	250	22	4	269	68	—	—	—	—	—	—
2009	23	MLB MLE	Pittsburgh Pirates	—	40	36	7	1	0	0	4	11	0	1	0	194	275	222	497	28	280	28	10	238	47	-3	+0	-2	+2	+1	-0.1
2009	23	AAA MLE	Indianapolis Indians	—	390	364	85	26	2	12	18	72	1	5	2	234	272	415	686	181	250	18	5	296	86	—	—	—	—	—	—
2009	23	ROK MLE	GCL Pirates	—	32	30	3	1	0	1	1	7	1	0	1	100	156	233	390	133	121	22	3	163	-4	—	—	—	—	—	—
2010	24	MLB MLE	Pittsburgh Pirates	—	469	427	126	28	3	13	33	83	3	2	3	295	350	466	816	171	340	18	7	357	128	+15	-1	-9	+2	+10	1.8
2010	24	AAA MLE	Indianapolis Indians	—	189	173	46	15	2	5	14	39	1	10	1	266	324	462	787	197	305	21	7	329	109	—	—	—	—	—	—
2011	25	MLB MLE	Pittsburgh Pirates	—	662	601	163	34	4	13	49	112	4	9	6	271	330	406	736	135	315	17	7	326	107	+5	-1	-3	+2	+14	1.9
2012	26	MLB MLE	Pittsburgh Pirates	—	530	473	132	26	0	15	46	104	2	7	5	279	345	429	775	150	326	20	9	342	117	+11	-1	-1	+2	+11	2.3
2013	27	MLB MLE	Pittsburgh Pirates	—	551	482	120	23	4	17	46	85	15	1	2	249	333	419	752	170	274	15	8	334	112	+8	-1	-2	+2	+12	2.0
2014	28	MLB MLE	Pittsburgh Pirates	—	571	514	140	24	3	25	43	88	11	2	2	272	342	477	818	204	288	15	8	360	130	+20	-0	-1	+2	+12	3.4
2015	29	MLB MLE	Pittsburgh Pirates	—	603	548	146	31	3	17	39	110	8	4	1	266	324	427	751	161	306	18	6	331	110	+7	+0	-2	+2	+13	2.2
2016	30	MLB MLE	New York Mets	—	458	415	119	10	1	23	39	84	1	3	1	287	349	482	831	195	302	18	9	364	133	+18	+0	-4	+2	+10	2.6
2017	31	MLB MLE	Milwaukee Brewers	—	448	387	102	22	2	13	53	77	5	0	2	264	360	432	791	168	297	17	12	356	127	+15	-1	-0	+2	+10	2.5
2017	31	AAA MLE	Las Vegas 51s	—	20	19	4	1	0	0	1	1	0	0	0	211	250	263	513	53	234	5	5	222	36	—	—	—	—	—	—
2018	32	MLB MLE	New York Yankees	—	398	350	75	12	1	10	39	87	5	0	0	214	302	340	642	126	257	22	10	293	84	-7	+0	-9	-7	+9	-1.5
2019	33	MLB MLE	Miami Marlins	—	381	338	91	21	1	8	41	77	1	3	0	269	350	408	758	139	316	20	11	342	118	+8	+1	-2	-7	+8	0.8
2020	34	MLB MLE	Philadelphia Phillies	—	41	39	9	3	0	0	1	13	0	0	0	231	250	308	558	77	333	32	2	245	52	-2	+0	+0	+0	+1	-0.1
2005	19	A MLE	2 teams	—	563	535	141	29	3	10	12	112	6	7	4	264	288	385	673	121	310	20	2	287	80	—	—	—	—	—	—
2005	19	A RAW	2 teams	—	563	527	157	35	3	12	20	83	6	7	4	298	331	444	775	146	328	15	4	337	80	—	—	—	—	—	—
2006	20	A+ MLE	2 teams	—	326	303	72	18	1	4	12	63	6	3	5	238	280	343	624	106	287	19	4	272	70	—	—	—	—	—	—
2006	20	A+ RAW	2 teams	—	326	295	80	22	1	5	20	45	6	3	5	271	330	403	734	132	305	14	6	324	70	—	—	—	—	—	—
2007	21	AA MLE	2 teams	—	559	512	133	30	3	11	38	105	3	10	5	260	315	395	709	135	304	19	7	308	95	—	—	—	—	—	—
2007	21	AA RAW	2 teams	—	559	495	137	33	3	13	55	86	3	10	5	277	353	434	787	158	309	15	10	348	95	—	—	—	—	—	—
2008	22	AAA MLE	Indianapolis Indians	—	550	513	114	22	7	14	21	123	2	10	6	222	256	374	630	152	259	22	4	269	68	—	—	—	—	—	—
2008	22	AAA RAW	Indianapolis Indians	—	550	505	122	25	7	16	29	102	2	10	6	242	285	414	699	172	267	19	5	301	68	—	—	—	—	—	—
2009	23	AAA MLE	3 teams	—	462	430	96	29	2	13	23	90	2	6	3	223	266	391	657	167	249	19	5	282	77	—	—	—	—	—	—
2009	23	AAA RAW	3 teams	—	462	422	106	34	2	15	31	76	2	6	3	251	305	448	753	197	270	16	7	327	77	—	—	—	—	—	—
2010	24	MLB MLE	2 teams	—	658	600	172	43	5	18	47	122	4	12	4	287	343	465	808	178	331	19	7	349	122	+17	+1	-9	+2	+14	2.6
2010	24	MLB RAW	2 teams	—	658	594	180	47	5	18	53	114	4	12	4	303	364	490	854	187	347	17	8	373	122	+17	+1	-9	+2	+14	2.6
2011	25	MLB MLE	Pittsburgh Pirates	—	662	601	163	34	4	13	49	112	4	9	6	271	330	406	736	135	310	17	7	326	107	+5	-1	-3	+2	+14	1.9
2011	25	MLB RAW	Pittsburgh Pirates	—	662	596	163	36	4	12	54	112	4	9	6	273	338	408	746	134	315	17	8	330	107	+5	-1	-3	+2	+14	1.9
2012	26	MLB MLE	Pittsburgh Pirates	—	530	473	132	26	0	15	46	104	2	7	5	279	345	429	775	150	323	20	9	342	117	+11	-1	-1	+2	+11	2.3
2012	26	MLB RAW	Pittsburgh Pirates	—	530	472	132	27	0	14	47	104	2	7	5	280	347	426	773	146	326	20	9	340	117	+11	-1	-1	+2	+11	2.3
2013	27	MLB MLE	Pittsburgh Pirates	—	551	482	120	23	4	17	46	85	15	1	2	249	333	419	752	170	269	15	8	334	112	+8	-1	-2	+2	+12	2.0
2013	27	MLB RAW	Pittsburgh Pirates	—	551	478	120	24	4	16	50	85	15	1	2	251	341	418	759	167	274	15	9	336	112	+8	-1	-2	+2	+12	2.0
2014	28	MLB MLE	Pittsburgh Pirates	—	571	514	140	24	3	25	43	88	11	2	2	272	342	477	818	204	285	15	8	360	130	+20	-0	-1	+2	+12	3.4
2014	28	MLB RAW	Pittsburgh Pirates	—	571	512	139	25	3	23	45	88	11	2	2	271	343	467	810	195	288	15	8	357	130	+20	-0	-1	+2	+12	3.4
2015	29	MLB MLE	Pittsburgh Pirates	—	603	548	146	31	3	17	39	110	8	4	1	266	324	427	751	161	301	18	6	331	110	+7	+0	-2	+2	+13	2.2
2015	29	MLB RAW	Pittsburgh Pirates	—	603	543	146	32	3	16	44	110	8	4	1	269	333	427	760	158	306	18	7	335	110	+7	+0	-2	+2	+13	2.2
2016	30	MLB MLE	New York Mets	—	458	415	119	10	1	23	39	84	1	3	1	287	349	482	831	195	309	18	9	364	133	+18	+0	-4	+2	+10	2.6
2016	30	MLB RAW	New York Mets	—	458	412	116	9	1	23	42	84	1	3	1	282	349	476	825	194	302	18	9	363	133	+18	+0	-4	+2	+10	2.6
2017	31	MLB MLE	2 teams	—	468	406	107	23	2	13	54	78	5	0	2	264	357	426	783	163	297	17	12	351	123	+13	-1	-0	+2	+10	2.4
2017	31	MLB RAW	2 teams	—	468	404	107	22	2	14	56	78	5	0	2	265	361	433	794	168	296	17	12	354	123	+13	-1	-0	+2	+10	2.4
2018	32	MLB MLE	New York Yankees	—	398	350	75	12	1	10	39	87	5	0	0	214	302	340	642	126	253	22	10	293	84	-7	+0	-9	-7	+9	-1.5
2018	32	MLB RAW	New York Yankees	—	398	347	76	12	1	11	42	87	5	0	0	219	312	354	667	135	257	22	11	301	84	-7	+0	-9	-7	+9	-1.5
2019	33	MLB MLE	Miami Marlins	—	381	338	91	21	1	8	41	77	1	3	0	269	350	408	758	139	327	20	11	342	118	+8	+1	-2	-7	+8	0.8
2019	33	MLB RAW	Miami Marlins	—	381	337	88	19	1	8	42	77	1	3	0	261	345	395	739	134	316	20	11	333	118	+8	+1	-2	-7	+8	0.8
2020	34	MLB MLE	Philadelphia Phillies	—	41	39	9	3	0	0	1	13	0	0	0	231	250	308	558	77	333	32	2	245	52	-2	+0	+0	+0	+1	-0.1
2020	34	MLB RAW	Philadelphia Phillies	—	41	39	9	3	0	0	1	13	0	0	0	231	250	308	558	77	333	32	2	243	52	-2	+0	+0	+0	+1	-0.1
2005	19	A MLE	2 teams	—	563	540	141	29	3	10	12	112	6	7	4	261	288	381	669	120	299	20	2	287	80	—	—	—	—	—	—
2006	20	A+ MLE	2 teams	—	326	305	72	18	1	4	12	63	6	3	5	236	280	341	621	105	282	19	4	272	70	—	—	—	—	—	—
2007	21	AA MLE	2 teams	—	559	513	133	30	3	11	38	105	3	10	5	259	315	394	708	135	298	19	7	308	95	—	—	—	—	—	—
2008	22	AAA MLE	Indianapolis Indians	—	550	522	114	22	7	14	21	123	2	10	6	218	256	368	623	149	250	22	4	269	68	—	—	—	—	—	—
2009	23	AAA MLE	3 teams	—	462	434	96	29	2	13	23	90	2	6	3	221	266	387	653	166	244	19	5	282	77	—	—	—	—	—	—
2010	24	MLB MLE	2 teams	—	658	602	172	43	5	18	47	122	4	12	4	286	343	463	806	178	330	19	7	349	122	—	—	—	—	—	—
2011	25	MLB MLE	Pittsburgh Pirates	—	662	604	163	34	4	13	49	112	4	9	6	270	330	404	734	134	315	17	7	326	107	—	—	—	—	—	—
2012	26	MLB MLE	Pittsburgh Pirates	—	530	477	132	26	0	15	46	104	2	7	5	277	345	426	771	149	326	20	9	342	117	—	—	—	—	—	—
2013	27	MLB MLE	Pittsburgh Pirates	—	551	485	120	23	4	17	46	85	15	1	2	247	333	416	750	169	274	15	8	334	112	—	—	—	—	—	—
2014	28	MLB MLE	Pittsburgh Pirates	—	571	512	140	24	3	25	43	88	11	2	2	273	342	479	820	205	288	15	8	360	130	—	—	—	—	—	—
2015	29	MLB MLE	Pittsburgh Pirates	—	603	551	146	31	3	17	39	110	8	4	1	265	324	425	749	160	306	18	6	331	110	—	—	—	—	—	—
2016	30	MLB MLE	New York Mets	—	458	415	119	10	1	23	39	84	1	3	1	287	349	482	831	195	302	18	9	364	133	—	—	—	—	—	—
2017	31	MLB MLE	2 teams	—	468	406	107	23	2	13	54	78	5	0	2	264	357	426	783	163	295	17	12	351	123	—	—	—	—	—	—
2018	32	MLB MLE	New York Yankees	—	398	351	75	12	1	10	39	87	5	0	0	214	302	339	641	125	257	22	10	293	84	—	—	—	—	—	—
2019	33	MLB MLE	Miami Marlins	—	381	336	91	21	1	8	41	77	1	3	0	271	350	411	761	140	316	20	11	342	118	—	—	—	—	—	—
2020	34	MLB MLE	Philadelphia Phillies	—	41	40	9	3	0	0	1	13	0	0	0	225	250	300	550	75	333	32	2	245	52	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	5152	4583	1224	238	22	149	460	931	55	32	22	267	341	426	767	159	303	18	9	340	104	+98	-2	-34	+4	+112	18.1
/ 162G	—	A+C		—	650	578	155	30	3	19	58	117	7	4	3	268	342	429	771	161	304	18	9	340	104	+12	-0	-4	+0	+14	2.3
Career	—	MLE		—	7781	7059	1830	378	40	211	550	1453	75	77	46	259	319	414	733	155	296	19	7	322	104	+98	-2	-34	+4	+112	18.1
/ 162G	—	MLE		—	650	590	153	32	3	18	46	121	6	6	4	259	319	415	735	156	295	19	7	322	104	+12	-0	-4	+0	+14	2.3

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 AAALas Vegas 51s · 20 PAwOBA .273 → .222 (−50)K% 5.0% → 6.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	5.00%	÷0.948	×1.290	—	—	6.80%
BB% (unintentional) /PA	5.00%	÷1.015	×0.710	—	×0.952	3.33%
HBP% /PA	0.00%	—	×0.980	—	×0.952	0.00%
Singles /BIP	22.22%	÷0.994	×0.900	—	×0.952	19.15%
Doubles /BIP	5.56%	÷0.998	×0.810	—	×0.952	4.29%
Triples /BIP	0.00%	÷1.111	×0.810	—	×0.952	0.00%
Home runs /BIP	0.00%	÷1.209	×0.780	—	×0.952	0.00%

Factors used: league row PCL. Park (home-season share, regressed): HR 142, 1B 99, 2B 100, 3B 122, K 90, BB 103 — 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).

Result: wOBA .273 → .222; ISO .053 → .041; BABIP .278 → .234. 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).

2010 AAAIndianapolis Indians · 189 PAwOBA .404 → .329 (−75)K% 16.4% → 20.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.40%	÷0.967	×1.200	—	—	20.35%
BB% (unintentional) /PA	10.05%	÷1.000	×0.690	—	×1.033	7.17%
HBP% /PA	0.53%	—	×0.940	—	×1.033	0.51%
Singles /BIP	20.44%	÷1.067	×0.930	×0.950	×1.033	17.49%
Doubles /BIP	13.14%	÷0.981	×0.830	×0.950	×1.033	10.91%
Triples /BIP	1.46%	÷1.148	×0.970	×0.950	×1.033	1.21%
Home runs /BIP	4.38%	÷1.048	×0.840	—	×1.033	3.62%

Factors used: league row IL. Park (home-season share, regressed): HR 110, 1B 113, 2B 96, 3B 130, K 93, 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 ×0.950.

Result: wOBA .404 → .329; ISO .238 → .196; BABIP .364 → .305. 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).

2009 AAAIndianapolis Indians · 390 PAwOBA .337 → .296 (−41)K% 15.4% → 18.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.38%	÷1.000	×1.200	—	—	18.46%
BB% (unintentional) /PA	6.41%	÷1.000	×0.690	—	×1.048	4.64%
HBP% /PA	0.26%	—	×0.940	—	×1.048	0.25%
Singles /BIP	15.88%	÷1.000	×0.930	×0.966	×1.048	14.96%
Doubles /BIP	10.47%	÷1.000	×0.830	×0.966	×1.048	8.80%
Triples /BIP	0.68%	÷1.000	×0.970	×0.966	×1.048	0.66%
Home runs /BIP	4.73%	÷1.000	×0.840	—	×1.048	4.16%

Factors used: league row IL. Park (home-season share, regressed): no park row on file (treated as neutral) — 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 ×0.966.

Result: wOBA .337 → .296; ISO .216 → .190; BABIP .278 → .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).

2009 ROKGCL Pirates · 32 PAwOBA .240 → .163 (−77)K% 15.6% → 22.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.62%	÷1.000	×1.440	—	—	22.50%
BB% (unintentional) /PA	3.12%	÷1.000	×0.620	—	×0.955	1.85%
HBP% /PA	3.12%	—	×0.720	—	×0.955	2.15%
Singles /BIP	8.00%	÷1.000	×0.820	—	×0.955	6.26%
Doubles /BIP	8.00%	÷1.000	×0.720	—	×0.955	5.50%
Triples /BIP	0.00%	÷1.000	×0.720	—	×0.955	0.00%
Home runs /BIP	4.00%	÷1.000	×0.780	—	×0.955	2.98%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 24 vs a level average of 19.5 → −4.5% on BB/HBP/hit rates (4.5 yr older than average).

Result: wOBA .240 → .163; ISO .167 → .113; BABIP .167 → .121. 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).

2008 AAAIndianapolis Indians · 550 PAwOBA .298 → .269 (−29)K% 18.5% → 22.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.55%	÷1.000	×1.200	—	—	22.25%
BB% (unintentional) /PA	5.27%	÷1.000	×0.690	—	×1.050	3.82%
HBP% /PA	0.36%	—	×0.940	—	×1.050	0.36%
Singles /BIP	18.36%	÷1.000	×0.930	×0.985	×1.050	17.66%
Doubles /BIP	6.20%	÷1.000	×0.830	×0.985	×1.050	5.32%
Triples /BIP	1.74%	÷1.000	×0.970	×0.985	×1.050	1.74%
Home runs /BIP	3.97%	÷1.000	×0.840	—	×1.050	3.50%

Factors used: league row IL. Park (home-season share, regressed): no park row on file (treated as neutral) — 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 ×0.985.

Result: wOBA .298 → .269; ISO .172 → .155; BABIP .267 → .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).

2007 AAAltoona Curve · 490 PAwOBA .355 → .323 (−33)K% 14.9% → 18.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.90%	÷1.000	×1.220	—	—	18.18%
BB% (unintentional) /PA	10.20%	÷1.000	×0.700	—	×1.042	7.44%
HBP% /PA	0.00%	—	×0.850	—	×1.042	0.00%
Singles /BIP	21.79%	÷1.000	×0.970	×0.994	×1.042	21.90%
Doubles /BIP	8.38%	÷1.000	×0.860	×0.994	×1.042	7.47%
Triples /BIP	0.84%	÷1.000	×0.950	×0.994	×1.042	0.82%
Home runs /BIP	3.63%	÷1.000	×0.780	—	×1.042	2.95%

Factors used: league row EL. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 22 vs a level average of 24.8 → +4.2% on BB/HBP/hit rates (2.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.994.

Result: wOBA .355 → .323; ISO .174 → .152; BABIP .317 → .307. 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).

2007 AAAIndianapolis Indians · 69 PAwOBA .233 → .202 (−31)K% 18.8% → 22.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.84%	÷1.000	×1.200	—	—	22.61%
BB% (unintentional) /PA	2.90%	÷1.000	×0.690	—	×1.050	2.10%
HBP% /PA	4.35%	—	×0.940	—	×1.050	4.29%
Singles /BIP	19.61%	÷1.000	×0.930	×0.950	×1.050	18.19%
Doubles /BIP	5.88%	÷1.000	×0.830	×0.950	×1.050	4.87%
Triples /BIP	0.00%	÷1.000	×0.970	×0.950	×1.050	0.00%
Home runs /BIP	0.00%	÷1.000	×0.840	—	×1.050	0.00%

Factors used: league row IL. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 22 vs a level average of 27.2 → +5.0% on BB/HBP/hit rates (5.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .233 → .202; ISO .047 → .037; BABIP .255 → .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).

2006 A+Lynchburg Hillcats · 294 PAwOBA .325 → .280 (−45)K% 13.9% → 19.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.95%	÷1.000	×1.420	—	—	19.80%
BB% (unintentional) /PA	6.12%	÷1.000	×0.630	—	×1.027	3.96%
HBP% /PA	2.04%	—	×0.860	—	×1.027	1.80%
Singles /BIP	21.97%	÷1.000	×0.940	×0.991	×1.027	21.03%
Doubles /BIP	9.87%	÷1.000	×0.830	×0.991	×1.027	8.34%
Triples /BIP	0.45%	÷1.000	×0.800	×0.991	×1.027	0.37%
Home runs /BIP	1.35%	÷1.000	×0.900	—	×1.027	1.24%

Factors used: league row CAR. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 21 vs a level average of 22.8 → +2.7% on BB/HBP/hit rates (1.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.991.

Result: wOBA .325 → .280; ISO .125 → .106; BABIP .326 → .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).