Sean Rodríguez

Pos2B

B/TR/R

Born1985-04-26

Age (2027)42

No MLB projection yet. Career stats below are historical.

Overview

MLBLAST SEASON 2019

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2017	32	AAAGwinnett Brav…	25	.056/.261/.056	0	0	-14	—	.053/.217/.053
2017	32	MLBPIT	153	.167/.276/.295	5	1	66	-0.2
2018	33	AAAPIT	42	.250/.357/.444	2	1	78	—	.216/.310/.405
2018	33	MLBPIT	173	.167/.277/.313	5	1	71	-0.3
2019	34	AAAPHI	49	.267/.327/.622	4	0	91	—	.196/.245/.457
2019	34	MLBPHI	139	.223/.351/.375	4	1	101	0.6
2020	35	No MLB games played
2021	36	No MLB games played
2022	37	No MLB games played
2023	38	No MLB games played
2024	39	No MLB games played
2025	40	No MLB games played
2026	41	No MLB games played

Last 3 seasons WAR 0.1

Contract

No contract data on file.

Skills · percentileStatcast 2018-2020

Avg EV41

Speed37

Barrel%36

xwOBA23

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	20	A	Cedar Rapids Kernels	—	546	448	112	29	3	14	78	85	9	27	11	250	372	422	794	172	279	16	14	352	80	—	—	—	—	—	—
2006	21	AA	Arkansas Travelers	—	79	65	23	5	0	5	11	18	2	0	3	354	462	662	1.123	308	429	23	14	478	160	—	—	—	—	—	—
2006	21	A+	Rancho Cucamonga Quakes	—	523	455	137	29	5	24	47	125	12	15	3	301	381	545	926	244	362	24	9	398	109	—	—	—	—	—	—
2007	22	AA	Arkansas Travelers	—	587	508	129	31	2	17	54	132	19	15	8	254	348	423	771	169	309	22	9	343	80	—	—	—	—	—	—
2008	23	MLB	Los Angeles Angels	—	187	167	34	8	1	3	14	55	3	3	1	204	277	317	595	114	282	29	7	267	67	-7	+0	+3	+2	+4	0.2
2008	23	AAA	Salt Lake Bees	—	289	248	76	19	1	21	29	45	9	4	1	306	399	645	1.044	339	301	16	10	444	129	—	—	—	—	—	—
2009	24	MLB	Los Angeles Angels	—	29	25	5	0	0	2	3	7	0	0	0	200	286	440	726	240	176	24	10	309	95	-0	+0	-0	+2	+1	0.2
2009	24	AAA	Durham Bulls	—	459	386	115	20	6	30	55	121	12	9	1	298	402	614	1.016	316	357	26	12	432	139	—	—	—	—	—	—
2010	25	MLB	Tampa Bay Rays	—	378	343	86	19	2	9	21	97	8	13	3	251	309	397	706	146	324	26	6	311	95	-2	+1	+7	+1	+8	1.6
2011	26	MLB	Tampa Bay Rays	—	436	373	83	20	3	8	38	87	18	11	7	223	324	357	681	134	268	20	9	307	92	-4	-1	+7	+5	+9	1.7
2012	27	MLB	Tampa Bay Rays	—	342	301	64	14	1	6	27	75	3	5	0	213	284	326	610	113	260	22	8	269	67	-14	+1	+0	+4	+7	-0.1
2013	28	MLB	Tampa Bay Rays	—	222	195	48	10	1	5	17	59	5	1	3	246	323	385	707	138	323	27	8	312	97	-1	-1	+1	-2	+5	0.2
2014	29	MLB	Tampa Bay Rays	—	259	237	50	13	3	12	10	66	6	2	1	211	261	443	704	232	235	25	4	300	91	-3	+0	-2	+1	+6	0.1
2015	30	MLB	Pittsburgh Pirates	—	240	224	55	12	1	4	5	63	6	2	2	246	281	362	642	116	325	26	2	282	77	-6	-0	-3	-4	+5	-1.0
2016	31	MLB	Pittsburgh Pirates	—	342	300	81	16	1	18	33	102	5	2	1	270	352	510	862	240	344	30	10	374	141	+17	+0	+2	+4	+7	3.0
2017	32	MLB	Pittsburgh Pirates	—	153	132	22	2	0	5	16	57	4	1	0	167	276	295	572	129	243	37	10	266	66	-6	+0	-0	+1	+3	-0.2
2017	32	AAA	Gwinnett Braves	—	25	18	1	0	0	0	4	5	1	0	0	56	261	56	316		67	20	16	177	-14	—	—	—	—	—	—
2018	33	MLB	Pittsburgh Pirates	—	173	150	25	5	1	5	22	60	1	1	0	167	277	313	591	147	235	35	13	273	71	-6	+0	-2	+1	+4	-0.3
2018	33	AAA	Indianapolis Indians	—	42	36	9	1	0	2	5	10	1	1	1	250	357	444	802	194	292	24	12	360	78	—	—	—	—	—	—
2019	34	MLB	Philadelphia Phillies	—	139	112	25	5	0	4	19	41	3	1	1	223	351	375	726	152	309	29	14	321	101	+0	-0	+2	+1	+3	0.6
2019	34	AAA	Lehigh Valley IronPigs	—	49	45	12	2	1	4	3	19	1	0	0	267	327	622	949	356	364	39	6	405	91	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	2900	2559	578	124	14	81	225	769	62	42	19	226	304	380	684	154	288	27	8	303	91	-31	+1	+15	+13	+63	6.2
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2005	20	A MLE	Cedar Rapids Kernels	—	546	470	102	25	3	12	56	116	9	27	11	217	312	360	672	143	249	21	10	287	80	—	—	—	—	—	—
2006	21	AA MLE	Arkansas Travelers	—	79	68	21	4	0	4	8	22	2	0	3	309	397	544	942	235	396	28	10	404	160	—	—	—	—	—	—
2006	21	A+ MLE	Rancho Cucamonga Quakes	—	523	467	118	23	4	21	35	167	12	15	3	253	321	454	775	201	329	32	7	329	109	—	—	—	—	—	—
2007	22	AA MLE	Arkansas Travelers	—	587	523	115	26	2	14	39	161	19	15	8	220	298	358	655	138	279	27	7	286	80	—	—	—	—	—	—
2008	23	MLB MLE	Los Angeles Angels	—	187	167	34	8	1	3	14	55	3	3	1	204	277	317	595	114	282	29	7	267	67	-7	+0	+3	+2	+4	0.2
2008	23	AAA MLE	Salt Lake Bees	—	289	255	64	15	1	17	22	58	9	4	1	251	332	518	850	267	257	20	8	359	129	—	—	—	—	—	—
2009	24	MLB MLE	Los Angeles Angels	—	29	25	5	0	0	2	3	7	0	0	0	200	286	440	726	240	176	24	10	309	95	-0	+0	-0	+2	+1	0.2
2009	24	AAA MLE	Durham Bulls	—	459	401	106	17	6	26	40	145	12	9	1	264	349	531	880	267	338	32	9	373	139	—	—	—	—	—	—
2010	25	MLB MLE	Tampa Bay Rays	—	378	344	85	19	2	9	20	97	8	13	3	247	304	392	696	145	324	26	5	309	95	-2	+1	+7	+1	+8	1.6
2011	26	MLB MLE	Tampa Bay Rays	—	436	375	82	20	3	8	36	87	18	11	7	219	317	352	669	133	268	20	8	304	92	-4	-1	+7	+5	+9	1.7
2012	27	MLB MLE	Tampa Bay Rays	—	342	302	63	14	1	6	26	75	3	5	0	209	278	321	599	113	260	22	8	267	67	-14	+1	+0	+4	+7	-0.1
2013	28	MLB MLE	Tampa Bay Rays	—	222	195	47	10	1	5	17	59	5	1	3	241	318	379	697	138	323	27	8	312	97	-1	-1	+1	-2	+5	0.2
2014	29	MLB MLE	Tampa Bay Rays	—	259	237	50	13	3	12	10	66	6	2	1	211	261	443	704	232	235	25	4	302	91	-3	+0	-2	+1	+6	0.1
2015	30	MLB MLE	Pittsburgh Pirates	—	240	224	54	11	1	4	5	63	6	2	2	241	277	353	629	112	325	26	2	283	77	-6	-0	-3	-4	+5	-1.0
2016	31	MLB MLE	Pittsburgh Pirates	—	342	302	81	15	1	19	31	102	5	2	1	268	346	513	859	245	344	30	9	377	141	+17	+0	+2	+4	+7	3.0
2017	32	MLB MLE	Pittsburgh Pirates	—	153	133	22	2	0	5	15	57	4	1	0	165	270	293	563	128	243	37	10	266	66	-6	+0	-0	+1	+3	-0.2
2017	32	AAA MLE	Gwinnett Braves	—	25	19	1	0	0	0	3	6	1	0	0	53	217	53	270		60	24	12	147	-14	—	—	—	—	—	—
2018	33	MLB MLE	Pittsburgh Pirates	—	173	151	25	5	1	5	21	60	1	1	0	166	272	311	583	146	235	35	12	272	71	-6	+0	-2	+1	+4	-0.3
2018	33	AAA MLE	Indianapolis Indians	—	42	37	8	1	0	2	4	11	1	1	1	216	310	405	715	189	249	26	10	283	78	—	—	—	—	—	—
2019	34	MLB MLE	Philadelphia Phillies	—	139	112	25	5	0	4	19	41	3	1	1	223	351	375	726	152	309	29	14	318	101	+0	-0	+2	+1	+3	0.6
2019	34	AAA MLE	Lehigh Valley IronPigs	—	49	46	9	1	1	3	2	23	1	0	0	196	245	457	701	261	295	47	4	302	91	—	—	—	—	—	—
2005	20	A MLE	Cedar Rapids Kernels	—	546	470	102	25	3	12	56	116	9	27	11	217	312	360	672	143	262	21	10	287	80	—	—	—	—	—	—
2005	20	A RAW	Cedar Rapids Kernels	—	546	448	112	29	3	14	78	85	9	27	11	250	372	422	794	172	279	16	14	352	80	—	—	—	—	—	—
2006	21	A+ MLE	2 teams	—	602	535	141	28	4	26	43	189	14	15	6	264	334	477	811	213	353	31	7	339	115	—	—	—	—	—	—
2006	21	A+ RAW	2 teams	—	602	520	160	34	5	29	58	143	14	15	6	308	392	560	952	252	370	24	10	409	115	—	—	—	—	—	—
2007	22	AA MLE	Arkansas Travelers	—	587	523	115	26	2	14	39	161	19	15	8	220	298	358	655	138	287	27	7	286	80	—	—	—	—	—	—
2007	22	AA RAW	Arkansas Travelers	—	587	508	129	31	2	17	54	132	19	15	8	254	348	423	771	169	309	22	9	343	80	—	—	—	—	—	—
2008	23	AAA MLE	2 teams	—	476	422	98	23	2	20	36	113	12	7	2	232	311	438	749	206	268	24	8	323	105	—	—	—	—	—	—
2008	23	AAA RAW	2 teams	—	476	415	110	27	2	24	43	100	12	7	2	265	351	513	864	248	294	21	9	374	105	—	—	—	—	—	—
2009	24	AAA MLE	2 teams	—	488	426	111	17	6	28	43	152	12	9	1	261	345	526	871	265	332	31	9	369	136	—	—	—	—	—	—
2009	24	AAA RAW	2 teams	—	488	411	120	20	6	32	58	128	12	9	1	292	395	603	998	311	345	26	12	425	136	—	—	—	—	—	—
2010	25	MLB MLE	Tampa Bay Rays	—	378	344	85	19	2	9	20	97	8	13	3	247	304	392	696	145	318	26	5	309	95	-2	+1	+7	+1	+8	1.6
2010	25	MLB RAW	Tampa Bay Rays	—	378	343	86	19	2	9	21	97	8	13	3	251	309	397	706	146	324	26	6	311	95	-2	+1	+7	+1	+8	1.6
2011	26	MLB MLE	Tampa Bay Rays	—	436	375	82	20	3	8	36	87	18	11	7	219	317	352	669	133	262	20	8	304	92	-4	-1	+7	+5	+9	1.7
2011	26	MLB RAW	Tampa Bay Rays	—	436	373	83	20	3	8	38	87	18	11	7	223	324	357	681	134	268	20	9	307	92	-4	-1	+7	+5	+9	1.7
2012	27	MLB MLE	Tampa Bay Rays	—	342	302	63	14	1	6	26	75	3	5	0	209	278	321	599	113	254	22	8	267	67	-14	+1	+0	+4	+7	-0.1
2012	27	MLB RAW	Tampa Bay Rays	—	342	301	64	14	1	6	27	75	3	5	0	213	284	326	610	113	260	22	8	269	67	-14	+1	+0	+4	+7	-0.1
2013	28	MLB MLE	Tampa Bay Rays	—	222	195	47	10	1	5	17	59	5	1	3	241	318	379	697	138	316	27	8	312	97	-1	-1	+1	-2	+5	0.2
2013	28	MLB RAW	Tampa Bay Rays	—	222	195	48	10	1	5	17	59	5	1	3	246	323	385	707	138	323	27	8	312	97	-1	-1	+1	-2	+5	0.2
2014	29	MLB MLE	Tampa Bay Rays	—	259	237	50	13	3	12	10	66	6	2	1	211	261	443	704	232	235	25	4	302	91	-3	+0	-2	+1	+6	0.1
2014	29	MLB RAW	Tampa Bay Rays	—	259	237	50	13	3	12	10	66	6	2	1	211	261	443	704	232	235	25	4	300	91	-3	+0	-2	+1	+6	0.1
2015	30	MLB MLE	Pittsburgh Pirates	—	240	224	54	11	1	4	5	63	6	2	2	241	277	353	629	112	318	26	2	283	77	-6	-0	-3	-4	+5	-1.0
2015	30	MLB RAW	Pittsburgh Pirates	—	240	224	55	12	1	4	5	63	6	2	2	246	281	362	642	116	325	26	2	282	77	-6	-0	-3	-4	+5	-1.0
2016	31	MLB MLE	Pittsburgh Pirates	—	342	302	81	15	1	19	31	102	5	2	1	268	346	513	859	245	337	30	9	377	141	+17	+0	+2	+4	+7	3.0
2016	31	MLB RAW	Pittsburgh Pirates	—	342	300	81	16	1	18	33	102	5	2	1	270	352	510	862	240	344	30	10	374	141	+17	+0	+2	+4	+7	3.0
2017	32	MLB MLE	2 teams	—	178	152	23	2	0	5	18	63	5	1	0	151	263	263	526	112	209	35	10	250	55	-10	+0	-0	+1	+4	-0.5
2017	32	MLB RAW	2 teams	—	178	150	23	2	0	5	20	62	5	1	0	153	274	267	541	113	212	35	11	253	55	-10	+0	-0	+1	+4	-0.5
2018	33	MLB MLE	2 teams	—	215	188	33	6	1	7	25	71	2	2	1	176	279	330	609	154	236	33	12	275	72	-7	+0	-2	+1	+5	-0.4
2018	33	MLB RAW	2 teams	—	215	186	34	6	1	7	27	70	2	2	1	183	293	339	632	156	248	33	13	290	72	-7	+0	-2	+1	+5	-0.4
2019	34	MLB MLE	2 teams	—	188	158	34	6	1	7	21	64	4	1	1	215	322	399	721	184	307	34	11	314	99	-0	-0	+2	+1	+4	0.6
2019	34	MLB RAW	2 teams	—	188	157	37	7	1	8	22	60	4	1	1	236	344	446	790	210	322	32	12	343	99	-0	-0	+2	+1	+4	0.6
2005	20	A MLE	Cedar Rapids Kernels	—	546	476	102	25	3	12	56	116	9	27	11	214	312	355	667	141	249	21	10	287	80	—	—	—	—	—	—
2006	21	A+ MLE	2 teams	—	602	540	141	28	4	26	43	189	14	15	6	261	334	472	807	211	338	31	7	339	115	—	—	—	—	—	—
2007	22	AA MLE	Arkansas Travelers	—	587	524	115	26	2	14	39	161	19	15	8	219	298	357	655	137	279	27	7	286	80	—	—	—	—	—	—
2008	23	AAA MLE	2 teams	—	476	425	98	23	2	20	36	113	12	7	2	231	311	435	746	205	267	24	8	323	105	—	—	—	—	—	—
2009	24	AAA MLE	2 teams	—	488	430	111	17	6	28	43	152	12	9	1	258	345	521	866	263	328	31	9	369	136	—	—	—	—	—	—
2010	25	MLB MLE	Tampa Bay Rays	—	378	347	85	19	2	9	20	97	8	13	3	245	304	389	693	144	324	26	5	309	95	—	—	—	—	—	—
2011	26	MLB MLE	Tampa Bay Rays	—	436	379	82	20	3	8	36	87	18	11	7	216	317	348	665	132	268	20	8	304	92	—	—	—	—	—	—
2012	27	MLB MLE	Tampa Bay Rays	—	342	310	63	14	1	6	26	75	3	5	0	203	278	313	591	110	260	22	8	267	67	—	—	—	—	—	—
2013	28	MLB MLE	Tampa Bay Rays	—	222	198	47	10	1	5	17	59	5	1	3	237	318	374	692	136	323	27	8	312	97	—	—	—	—	—	—
2014	29	MLB MLE	Tampa Bay Rays	—	259	241	50	13	3	12	10	66	6	2	1	207	261	436	697	228	235	25	4	302	91	—	—	—	—	—	—
2015	30	MLB MLE	Pittsburgh Pirates	—	240	227	54	11	1	4	5	63	6	2	2	238	277	348	625	110	325	26	2	283	77	—	—	—	—	—	—
2016	31	MLB MLE	Pittsburgh Pirates	—	342	303	81	15	1	19	31	102	5	2	1	267	346	512	858	244	344	30	9	377	141	—	—	—	—	—	—
2017	32	MLB MLE	2 teams	—	178	153	23	2	0	5	18	63	5	1	0	150	263	261	524	111	217	35	10	250	55	—	—	—	—	—	—
2018	33	MLB MLE	2 teams	—	215	186	33	6	1	7	25	71	2	2	1	177	279	333	612	156	238	33	12	275	72	—	—	—	—	—	—
2019	34	MLB MLE	2 teams	—	188	161	34	6	1	7	21	64	4	1	1	211	322	391	714	180	305	34	11	314	99	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2900	2559	578	124	14	81	225	769	62	42	19	226	304	380	684	154	288	27	8	303	97	-31	+1	+15	+13	+63	6.2
/ 162G	—	A+C		—	650	574	129	28	3	18	50	172	14	9	4	225	303	378	681	153	286	26	8	303	97	-7	+0	+3	+3	+14	1.4
Career	—	MLE		—	5499	4853	1119	235	31	182	426	1478	128	113	47	231	309	404	714	174	290	27	8	311	97	-31	+1	+15	+13	+63	6.2
/ 162G	—	MLE		—	650	574	133	28	4	22	50	175	15	13	6	232	310	409	719	178	291	27	8	311	97	-7	+0	+3	+3	+14	1.4

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 AAALehigh Valley IronPigs · 49 PAwOBA .393 → .302 (−91)K% 38.8% → 46.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	38.78%	÷0.999	×1.200	—	—	46.56%
BB% (unintentional) /PA	6.12%	÷0.948	×0.690	—	×0.940	4.19%
HBP% /PA	2.04%	—	×0.940	—	×0.940	1.80%
Singles /BIP	19.23%	÷1.032	×0.930	—	×0.940	16.29%
Doubles /BIP	7.69%	÷1.033	×0.830	—	×0.940	5.81%
Triples /BIP	3.85%	÷1.061	×0.970	—	×0.940	3.30%
Home runs /BIP	15.38%	÷0.866	×0.840	—	×0.940	14.03%

Factors used: league row IL. Park (home-season share, regressed): HR 73, 1B 106, 2B 107, 3B 112, K 100, BB 90 — applied at half strength. Age: age 34 vs a level average of 27.2 → −6.0% on BB/HBP/hit rates (6.8 yr older than average).

Result: wOBA .393 → .302; ISO .356 → .282; BABIP .364 → .295. 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 AAAIndianapolis Indians · 42 PAwOBA .350 → .283 (−67)K% 23.8% → 26.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.81%	÷1.063	×1.200	—	—	26.87%
BB% (unintentional) /PA	11.90%	÷0.890	×0.690	—	×0.942	8.69%
HBP% /PA	2.38%	—	×0.940	—	×0.942	2.11%
Singles /BIP	23.08%	÷0.984	×0.930	—	×0.942	20.55%
Doubles /BIP	3.85%	÷1.040	×0.830	—	×0.942	2.89%
Triples /BIP	0.00%	÷0.900	×0.970	—	×0.942	0.00%
Home runs /BIP	7.69%	÷1.041	×0.840	—	×0.942	5.84%

Factors used: league row IL. Park (home-season share, regressed): HR 108, 1B 97, 2B 108, 3B 80, K 113, BB 78 — 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).

Result: wOBA .350 → .283; ISO .194 → .149; BABIP .292 → .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).

2017 AAAGwinnett Braves · 25 PAwOBA .190 → .147 (−43)K% 20.0% → 24.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.00%	÷0.989	×1.200	—	—	24.27%
BB% (unintentional) /PA	16.00%	÷0.999	×0.690	—	×0.952	10.52%
HBP% /PA	4.00%	—	×0.940	—	×0.952	3.58%
Singles /BIP	7.69%	÷1.005	×0.930	—	×0.952	6.78%
Doubles /BIP	0.00%	÷0.936	×0.830	—	×0.952	0.00%
Triples /BIP	0.00%	÷1.005	×0.970	—	×0.952	0.00%
Home runs /BIP	0.00%	÷0.972	×0.840	—	×0.952	0.00%

Factors used: league row IL. Park (home-season share, regressed): HR 94, 1B 101, 2B 87, 3B 101, K 98, BB 100 — 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 .190 → .147; ISO .000 → .000; BABIP .067 → .060. 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 AAADurham Bulls · 459 PAwOBA .423 → .373 (−51)K% 26.4% → 31.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	26.36%	÷1.000	×1.200	—	—	31.63%
BB% (unintentional) /PA	11.98%	÷1.000	×0.690	—	×1.048	8.66%
HBP% /PA	2.61%	—	×0.940	—	×1.048	2.58%
Singles /BIP	22.26%	÷1.000	×0.930	×1.008	×1.048	21.86%
Doubles /BIP	7.55%	÷1.000	×0.830	×1.008	×1.048	6.61%
Triples /BIP	2.26%	÷1.000	×0.970	×1.008	×1.048	2.32%
Home runs /BIP	11.32%	÷1.000	×0.840	—	×1.048	9.97%

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 ×1.008.

Result: wOBA .423 → .373; ISO .316 → .280; BABIP .357 → .338. 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 AAASalt Lake Bees · 289 PAwOBA .433 → .359 (−74)K% 15.6% → 20.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.57%	÷1.000	×1.290	—	—	20.09%
BB% (unintentional) /PA	10.03%	÷1.000	×0.710	—	×1.050	7.48%
HBP% /PA	3.11%	—	×0.980	—	×1.050	3.20%
Singles /BIP	17.24%	÷1.000	×0.900	×0.959	×1.050	15.62%
Doubles /BIP	9.36%	÷1.000	×0.810	×0.959	×1.050	7.63%
Triples /BIP	0.49%	÷1.000	×0.810	×0.959	×1.050	0.40%
Home runs /BIP	10.34%	÷1.000	×0.780	—	×1.050	8.47%

Factors used: league row PCL. 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 ×0.959.

Result: wOBA .433 → .359; ISO .339 → .273; BABIP .301 → .257. 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 AAArkansas Travelers · 587 PAwOBA .337 → .286 (−51)K% 22.5% → 27.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.49%	÷1.000	×1.220	—	—	27.43%
BB% (unintentional) /PA	9.20%	÷1.000	×0.700	—	×1.042	6.71%
HBP% /PA	3.24%	—	×0.870	—	×1.042	2.93%
Singles /BIP	21.01%	÷1.000	×0.920	×0.975	×1.042	19.63%
Doubles /BIP	8.24%	÷1.000	×0.840	×0.975	×1.042	7.03%
Triples /BIP	0.53%	÷1.000	×0.940	×0.975	×1.042	0.51%
Home runs /BIP	4.52%	÷1.000	×0.800	—	×1.042	3.77%

Factors used: league row TL. 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 ×0.975.

Result: wOBA .337 → .286; ISO .169 → .141; BABIP .309 → .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).

2006 A+Rancho Cucamonga Quakes · 523 PAwOBA .392 → .329 (−63)K% 23.9% → 32.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.90%	÷1.000	×1.340	—	—	32.03%
BB% (unintentional) /PA	8.99%	÷1.000	×0.710	—	×1.027	6.55%
HBP% /PA	2.29%	—	×0.790	—	×1.027	1.86%
Singles /BIP	23.94%	÷1.000	×0.910	×1.010	×1.027	22.59%
Doubles /BIP	8.79%	÷1.000	×0.820	×1.010	×1.027	7.47%
Triples /BIP	1.52%	÷1.000	×0.760	×1.010	×1.027	1.19%
Home runs /BIP	7.27%	÷1.000	×0.920	—	×1.027	6.87%

Factors used: league row CAL. 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 ×1.010.

Result: wOBA .392 → .329; ISO .244 → .209; BABIP .362 → .329. 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 AAArkansas Travelers · 79 PAwOBA .465 → .404 (−61)K% 22.8% → 27.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.78%	÷1.000	×1.220	—	—	27.80%
BB% (unintentional) /PA	13.92%	÷1.000	×0.700	—	×1.050	10.23%
HBP% /PA	2.53%	—	×0.870	—	×1.050	2.31%
Singles /BIP	27.66%	÷1.000	×0.920	—	×1.050	26.72%
Doubles /BIP	10.64%	÷1.000	×0.840	—	×1.050	9.38%
Triples /BIP	0.00%	÷1.000	×0.940	—	×1.050	0.00%
Home runs /BIP	10.64%	÷1.000	×0.800	—	×1.050	8.94%

Factors used: league row TL. 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 24.8 → +5.0% on BB/HBP/hit rates (3.8 yr younger than average).

Result: wOBA .465 → .404; ISO .308 → .262; BABIP .429 → .396. 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).