Shane Robinson

PosCF

B/TR/R

Born1984-10-30

Age (2027)42

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	32	AAALAA	385	.319/.375/.425	2	15	81	—	.271/.311/.358
2017	32	MLBLAA	35	.194/.265/.194	0	2	32	-0.6
2018	33	AAAScranton/Wilk…	202	.261/.298/.330	0	9	40	—	.220/.247/.272
2018	33	MLBNYY	54	.143/.208/.224	1	1	19	-0.2
2019	34	AAA/INTL2 orgs	421	.292/.373/.388	8	10	79	—	.236/.302/.327
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 -0.8

Contract

No contract data on file.

Skills · percentileStatcast 2016-2018

Speed79

Barrel%10

xwOBA10

Avg EV10

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	21	A	Swing of the Quad Cities	—	281	252	71	9	2	0	20	20	6	13	3	282	349	333	682	52	303	7	7	311	65	—	—	—	—	—	—
2007	22	A+	Palm Beach Cardinals	—	190	166	42	6	1	3	16	16	2	14	4	253	326	355	682	102	260	8	8	301	72	—	—	—	—	—	—
2008	23	AAA	Memphis Redbirds	—	151	141	31	4	1	1	5	24	1	2	3	220	252	284	535	64	254	16	3	236	27	—	—	—	—	—	—
2008	23	AA	Springfield Cardinals	—	271	244	86	17	3	4	17	34	3	13	5	352	402	496	897	143	390	13	6	388	116	—	—	—	—	—	—
2009	24	MLB	St. Louis Cardinals	—	26	25	6	1	0	0	0	2	0	1	0	240	240	280	520	40	250	8	0	223	37	-2	+0	-1	-4	+1	-0.6
2009	24	AAA	Memphis Redbirds	—	393	345	82	18	3	5	28	42	8	16	3	238	310	351	660	113	255	11	7	291	59	—	—	—	—	—	—
2010	25	AAA	Memphis Redbirds	—	97	86	24	5	0	2	7	13	0	3	3	279	333	407	740	128	306	13	7	318	79	—	—	—	—	—	—
2011	26	AAA	Memphis Redbirds	—	193	167	50	8	3	4	19	16	1	9	1	299	374	455	829	156	305	8	10	358	101	—	—	—	—	—	—
2011	26	AA	Springfield Cardinals	—	37	31	15	2	0	3	4	1	2	0	1	484	568	839	1.406	355	444	3	11	598	219	—	—	—	—	—	—
2011	26	ROK	GCL Cardinals	—	23	22	3	2	1	0	0	1	1	0	0	136	174	318	492	182	143	4	0	214	-19	—	—	—	—	—	—
2012	27	MLB	St. Louis Cardinals	—	181	166	42	8	0	3	14	32	0	1	0	253	311	355	667	102	295	18	8	300	85	-3	+0	+2	+1	+4	0.4
2012	27	AAA	Memphis Redbirds	—	80	70	21	4	2	0	8	15	2	5	0	300	388	414	802	114	382	19	10	362	88	—	—	—	—	—	—
2013	28	MLB	St. Louis Cardinals	—	171	144	36	2	1	2	23	17	0	5	1	250	353	319	673	69	264	10	13	307	96	-1	+1	+2	+1	+4	0.7
2014	29	MLB	St. Louis Cardinals	—	66	60	9	1	1	0	6	10	0	0	1	150	227	200	427	50	180	15	9	203	24	-6	-0	+0	-3	+1	-0.8
2014	29	AAA	Memphis Redbirds	—	216	191	58	12	0	2	22	25	2	4	2	304	381	398	779	94	339	12	10	353	78	—	—	—	—	—	—
2015	30	MLB	Minnesota Twins	—	197	180	45	7	3	0	12	29	1	6	1	250	301	322	623	72	296	15	6	277	74	-6	+1	+1	-2	+4	-0.2
2016	31	MLB	Los Angeles Angels	—	111	98	17	3	0	1	10	17	1	3	2	173	257	235	492	61	200	15	9	229	42	-8	-0	+4	-2	+2	-0.4
2016	31	AAA	Salt Lake Bees	—	80	73	23	4	0	0	3	8	1	4	0	315	351	370	721	55	348	10	4	314	55	—	—	—	—	—	—
2017	32	MLB	Los Angeles Angels	—	35	31	6	0	0	0	3	5	0	2	0	194	265	194	458		222	14	9	215	32	-3	+0	+0	-4	+1	-0.6
2017	32	AAA	Salt Lake Bees	—	385	348	111	21	5	2	28	37	3	15	1	319	375	425	800	106	347	10	7	353	81	—	—	—	—	—	—
2018	33	MLB	New York Yankees	—	54	49	7	1	0	1	4	6	0	1	0	143	208	224	432	82	143	11	7	198	19	-5	+0	+4	-3	+1	-0.2
2018	33	AAA	Scranton/Wilkes-Barre RailRiders	—	202	188	49	7	3	0	8	27	2	9	0	261	298	330	628	69	302	13	4	278	40	—	—	—	—	—	—
2019	34	AAA	Lehigh Valley IronPigs	—	356	306	88	10	0	7	39	34	3	8	3	288	374	389	762	101	299	10	11	340	72	—	—	—	—	—	—
2019	34	INTL	Melbourne Aces	—	65	60	19	1	0	1	5	4	0	2	0	317	369	383	753	67	327	6	8	342	118	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	841	753	168	23	5	7	72	118	2	19	5	223	293	295	587	72	253	14	9	267	67	-33	+2	+14	-17	+18	-1.7
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2006	21	A MLE	Swing of the Quad Cities	—	281	259	66	8	2	0	13	27	6	13	3	255	306	301	607	46	274	10	5	265	65	—	—	—	—	—	—
2007	22	A+ MLE	Palm Beach Cardinals	—	190	170	41	6	1	3	12	23	2	14	4	241	299	341	640	100	249	12	6	275	72	—	—	—	—	—	—
2008	23	AAA MLE	Memphis Redbirds	—	151	142	28	3	1	1	4	31	1	2	3	197	224	254	478	56	236	21	3	208	27	—	—	—	—	—	—
2008	23	AA MLE	Springfield Cardinals	—	271	249	79	15	3	3	12	41	3	13	5	317	356	438	794	120	351	15	4	340	116	—	—	—	—	—	—
2009	24	MLB MLE	St. Louis Cardinals	—	26	25	6	1	0	0	0	2	0	1	0	240	240	280	520	40	250	8	0	223	37	-2	+0	-1	-4	+1	-0.6
2009	24	AAA MLE	Memphis Redbirds	—	393	353	77	16	3	4	20	54	8	16	3	218	276	314	590	96	233	14	5	255	59	—	—	—	—	—	—
2010	25	AAA MLE	Memphis Redbirds	—	97	88	23	5	0	1	5	17	0	3	3	261	301	352	653	91	292	18	5	285	79	—	—	—	—	—	—
2011	26	AAA MLE	Memphis Redbirds	—	193	172	48	7	3	4	14	21	1	9	1	279	337	424	761	145	276	11	7	318	101	—	—	—	—	—	—
2011	26	AA MLE	Springfield Cardinals	—	37	32	13	2	0	2	3	1	2	0	1	406	486	656	1.143	250	382	3	8	492	219	—	—	—	—	—	—
2011	26	ROK MLE	GCL Cardinals	—	23	22	2	1	1	0	0	1	1	0	0	91	130	227	358	136	97	4	0	140	-19	—	—	—	—	—	—
2012	27	MLB MLE	St. Louis Cardinals	—	181	168	42	8	0	3	12	32	0	1	0	250	300	351	651	101	295	18	7	294	85	-3	+0	+2	+1	+4	0.4
2012	27	AAA MLE	Memphis Redbirds	—	80	72	19	4	1	0	6	19	2	5	0	264	338	347	685	83	345	24	8	298	88	—	—	—	—	—	—
2013	28	MLB MLE	St. Louis Cardinals	—	171	144	36	2	1	2	23	17	0	5	1	250	353	319	673	69	264	10	13	310	96	-1	+1	+2	+1	+4	0.7
2014	29	MLB MLE	St. Louis Cardinals	—	66	60	9	1	1	0	6	10	0	0	1	150	227	200	427	50	180	15	9	204	24	-6	-0	+0	-3	+1	-0.8
2014	29	AAA MLE	Memphis Redbirds	—	216	199	50	11	0	1	14	32	2	4	2	251	307	322	629	70	292	15	6	284	78	—	—	—	—	—	—
2015	30	MLB MLE	Minnesota Twins	—	197	180	45	7	3	0	12	29	1	6	1	250	301	322	623	72	296	15	6	277	74	-6	+1	+1	-2	+4	-0.2
2016	31	MLB MLE	Los Angeles Angels	—	111	98	17	3	0	1	10	17	1	3	2	173	257	235	492	61	200	15	9	230	42	-8	-0	+4	-2	+2	-0.4
2016	31	AAA MLE	Salt Lake Bees	—	80	74	19	3	0	0	2	11	1	4	0	257	286	297	583	41	280	14	2	250	55	—	—	—	—	—	—
2017	32	MLB MLE	Los Angeles Angels	—	35	31	6	0	0	0	3	5	0	2	0	194	265	194	458		222	14	9	215	32	-3	+0	+0	-4	+1	-0.6
2017	32	AAA MLE	Salt Lake Bees	—	385	358	97	17	4	2	18	47	3	15	1	271	311	358	669	87	295	12	5	288	81	—	—	—	—	—	—
2018	33	MLB MLE	New York Yankees	—	54	49	7	1	0	1	4	6	0	1	0	143	208	224	432	82	143	11	7	196	19	-5	+0	+4	-3	+1	-0.2
2018	33	AAA MLE	Scranton/Wilkes-Barre RailRiders	—	202	191	42	6	2	0	5	32	2	9	0	220	247	272	520	52	257	16	2	227	40	—	—	—	—	—	—
2019	34	AAA MLE	Lehigh Valley IronPigs	—	356	318	75	8	0	7	27	41	3	8	3	236	302	327	629	91	237	12	8	274	72	—	—	—	—	—	—
2006	21	A MLE	Swing of the Quad Cities	—	281	259	66	8	2	0	13	27	6	13	3	255	306	301	607	46	282	10	5	265	65	—	—	—	—	—	—
2006	21	A RAW	Swing of the Quad Cities	—	281	252	71	9	2	0	20	20	6	13	3	282	349	333	682	52	303	7	7	311	65	—	—	—	—	—	—
2007	22	A+ MLE	Palm Beach Cardinals	—	190	170	41	6	1	3	12	23	2	14	4	241	299	341	640	100	259	12	6	275	72	—	—	—	—	—	—
2007	22	A+ RAW	Palm Beach Cardinals	—	190	166	42	6	1	3	16	16	2	14	4	253	326	355	682	102	260	8	8	301	72	—	—	—	—	—	—
2008	23	AA MLE	2 teams	—	422	391	108	18	4	4	16	72	4	15	8	276	311	373	685	97	324	17	4	293	84	—	—	—	—	—	—
2008	23	AA RAW	2 teams	—	422	385	117	21	4	5	22	58	4	15	8	304	348	418	766	114	341	14	5	334	84	—	—	—	—	—	—
2009	24	AAA MLE	2 teams	—	419	378	83	17	3	4	20	56	8	17	3	220	273	312	586	93	245	13	5	253	57	—	—	—	—	—	—
2009	24	AAA RAW	2 teams	—	419	370	88	19	3	5	28	44	8	17	3	238	305	346	651	108	255	11	7	287	57	—	—	—	—	—	—
2010	25	AAA MLE	Memphis Redbirds	—	97	88	23	5	0	1	5	17	0	3	3	261	301	352	653	91	310	18	5	285	79	—	—	—	—	—	—
2010	25	AAA RAW	Memphis Redbirds	—	97	86	24	5	0	2	7	13	0	3	3	279	333	407	740	128	306	13	7	318	79	—	—	—	—	—	—
2011	26	AAA MLE	3 teams	—	253	227	62	10	3	6	16	24	4	9	2	273	332	423	755	150	279	9	6	327	108	—	—	—	—	—	—
2011	26	AAA RAW	3 teams	—	253	220	68	12	4	7	23	18	4	9	2	309	385	495	880	186	307	7	9	380	108	—	—	—	—	—	—
2012	27	MLB MLE	2 teams	—	261	240	60	11	1	3	18	51	2	6	0	250	308	342	649	92	305	20	7	295	86	-4	+1	+2	+1	+6	0.6
2012	27	MLB RAW	2 teams	—	261	236	63	12	2	3	22	47	2	6	0	267	335	373	707	106	321	18	8	319	86	-4	+1	+2	+1	+6	0.6
2013	28	MLB MLE	St. Louis Cardinals	—	171	144	36	2	1	2	23	17	0	5	1	250	353	319	673	69	264	10	13	310	96	-1	+1	+2	+1	+4	0.7
2013	28	MLB RAW	St. Louis Cardinals	—	171	144	36	2	1	2	23	17	0	5	1	250	353	319	673	69	264	10	13	307	96	-1	+1	+2	+1	+4	0.7
2014	29	AAA MLE	2 teams	—	282	259	59	12	1	1	20	42	2	4	3	228	288	293	582	66	267	15	7	265	66	—	—	—	—	—	—
2014	29	AAA RAW	2 teams	—	282	251	67	13	1	2	28	35	2	4	3	267	345	351	696	84	302	12	10	318	66	—	—	—	—	—	—
2015	30	MLB MLE	Minnesota Twins	—	197	180	45	7	3	0	12	29	1	6	1	250	301	322	623	72	296	15	6	277	74	-6	+1	+1	-2	+4	-0.2
2015	30	MLB RAW	Minnesota Twins	—	197	180	45	7	3	0	12	29	1	6	1	250	301	322	623	72	296	15	6	277	74	-6	+1	+1	-2	+4	-0.2
2016	31	MLB MLE	2 teams	—	191	172	36	6	0	1	12	28	2	7	2	209	269	262	530	52	243	15	6	238	47	-12	+1	+4	-2	+4	-0.5
2016	31	MLB RAW	2 teams	—	191	171	40	7	0	1	13	25	2	7	2	234	296	292	588	58	267	13	7	265	47	-12	+1	+4	-2	+4	-0.5
2017	32	AAA MLE	2 teams	—	420	389	103	17	4	2	21	52	3	17	1	265	308	344	652	80	296	12	5	282	77	—	—	—	—	—	—
2017	32	AAA RAW	2 teams	—	420	379	117	21	5	2	31	42	3	17	1	309	366	406	772	98	337	10	7	342	77	—	—	—	—	—	—
2018	33	AAA MLE	2 teams	—	256	240	49	7	2	1	9	38	2	10	0	204	239	263	502	58	238	15	4	220	35	—	—	—	—	—	—
2018	33	AAA RAW	2 teams	—	256	237	56	8	3	1	12	33	2	10	0	236	279	308	587	72	270	13	5	261	35	—	—	—	—	—	—
2019	34	AAA MLE	2 teams	—	421	378	88	9	0	8	32	48	3	10	3	233	298	320	618	87	244	11	8	274	72	—	—	—	—	—	—
2019	34	AAA RAW	2 teams	—	421	366	107	11	0	8	44	38	3	10	3	292	373	388	761	96	304	9	10	340	72	—	—	—	—	—	—
2006	21	A MLE	Swing of the Quad Cities	—	281	260	66	8	2	0	13	27	6	13	3	254	306	300	606	46	274	10	5	265	65	—	—	—	—	—	—
2007	22	A+ MLE	Palm Beach Cardinals	—	190	174	41	6	1	3	12	23	2	14	4	236	299	333	632	98	249	12	6	275	72	—	—	—	—	—	—
2008	23	AA MLE	2 teams	—	422	399	108	18	4	4	16	72	4	15	8	271	311	366	677	95	310	17	4	293	84	—	—	—	—	—	—
2009	24	AAA MLE	2 teams	—	419	388	83	17	3	4	20	56	8	17	3	214	273	304	578	90	234	13	5	253	57	—	—	—	—	—	—
2010	25	AAA MLE	Memphis Redbirds	—	97	92	23	5	0	1	5	17	0	3	3	250	301	337	638	87	292	18	5	285	79	—	—	—	—	—	—
2011	26	AAA MLE	3 teams	—	253	231	62	10	3	6	16	24	4	9	2	268	332	416	748	147	275	9	6	327	108	—	—	—	—	—	—
2012	27	MLB MLE	2 teams	—	261	239	60	11	1	3	18	51	2	6	0	251	308	343	651	92	311	20	7	295	86	—	—	—	—	—	—
2013	28	MLB MLE	St. Louis Cardinals	—	171	146	36	2	1	2	23	17	0	5	1	247	353	315	668	68	264	10	13	310	96	—	—	—	—	—	—
2014	29	AAA MLE	2 teams	—	282	258	59	12	1	1	20	42	2	4	3	229	288	295	583	66	266	15	7	265	66	—	—	—	—	—	—
2015	30	MLB MLE	Minnesota Twins	—	197	182	45	7	3	0	12	29	1	6	1	247	301	319	619	71	296	15	6	277	74	—	—	—	—	—	—
2016	31	MLB MLE	2 teams	—	191	175	36	6	0	1	12	28	2	7	2	206	269	257	526	51	234	15	6	238	47	—	—	—	—	—	—
2017	32	AAA MLE	2 teams	—	420	393	103	17	4	2	21	52	3	17	1	262	308	341	648	79	289	12	5	282	77	—	—	—	—	—	—
2018	33	AAA MLE	2 teams	—	256	243	49	7	2	1	9	38	2	10	0	202	239	259	498	58	233	15	4	220	35	—	—	—	—	—	—
2019	34	AAA MLE	2 teams	—	421	383	88	9	0	8	32	48	3	10	3	230	298	316	614	86	237	11	8	274	72	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	841	753	168	23	5	7	72	118	2	19	5	223	293	295	587	72	253	14	9	267	72	-33	+2	+14	-17	+18	-1.7
/ 162G	—	A+C		—	650	582	130	18	4	5	56	91	2	15	4	223	294	294	588	70	254	14	9	267	72	-26	+1	+11	-13	+14	-1.3
Career	—	MLE		—	3861	3515	859	135	25	36	229	524	39	136	34	244	298	328	626	83	275	14	6	275	72	-33	+2	+14	-17	+18	-1.7
/ 162G	—	MLE		—	650	592	145	23	4	6	39	88	7	23	6	245	300	328	628	83	275	14	6	275	72	-26	+1	+11	-13	+14	-1.3

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.

2019 AAALehigh Valley IronPigs · 356 PAwOBA .337 → .274 (−63)K% 9.6% → 11.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	9.55%	÷0.999	×1.200	—	—	11.47%
BB% (unintentional) /PA	10.96%	÷0.948	×0.690	—	×0.940	7.50%
HBP% /PA	0.84%	—	×0.940	—	×0.940	0.74%
Singles /BIP	26.10%	÷1.032	×0.930	×0.950	×0.940	21.00%
Doubles /BIP	3.68%	÷1.033	×0.830	×0.950	×0.940	2.64%
Triples /BIP	0.00%	÷1.061	×0.970	×0.950	×0.940	0.00%
Home runs /BIP	2.57%	÷0.866	×0.840	—	×0.940	2.35%

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 35 vs a level average of 27.2 → −6.0% on BB/HBP/hit rates (7.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .337 → .274; ISO .101 → .090; BABIP .299 → .237. 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 AAAScranton/Wilkes-Barre RailRiders · 202 PAwOBA .272 → .227 (−45)K% 13.4% → 16.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.37%	÷1.002	×1.200	—	—	16.01%
BB% (unintentional) /PA	3.96%	÷1.034	×0.690	—	×0.940	2.48%
HBP% /PA	0.99%	—	×0.940	—	×0.940	0.87%
Singles /BIP	24.22%	÷1.032	×0.930	×1.018	×0.940	20.90%
Doubles /BIP	4.35%	÷1.004	×0.830	×1.018	×0.940	3.44%
Triples /BIP	1.86%	÷1.130	×0.970	×1.018	×0.940	1.53%
Home runs /BIP	0.00%	÷1.046	×0.840	—	×0.940	0.00%

Factors used: league row IL. Park (home-season share, regressed): HR 109, 1B 106, 2B 101, 3B 126, K 100, BB 107 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.018.

Result: wOBA .272 → .227; ISO .069 → .056; BABIP .302 → .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).

2017 AAASalt Lake Bees · 385 PAwOBA .348 → .288 (−60)K% 9.6% → 12.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	9.61%	÷1.010	×1.290	—	—	12.27%
BB% (unintentional) /PA	7.01%	÷0.993	×0.710	—	×0.942	4.72%
HBP% /PA	0.78%	—	×0.980	—	×0.942	0.72%
Singles /BIP	26.69%	÷0.986	×0.900	×1.023	×0.942	23.46%
Doubles /BIP	6.75%	÷1.009	×0.810	×1.023	×0.942	5.22%
Triples /BIP	1.61%	÷1.093	×0.810	×1.023	×0.942	1.15%
Home runs /BIP	0.64%	÷0.989	×0.780	—	×0.942	0.48%

Factors used: league row PCL. Park (home-season share, regressed): HR 98, 1B 97, 2B 102, 3B 119, K 102, BB 99 — 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 ×1.023.

Result: wOBA .348 → .288; ISO .106 → .081; BABIP .347 → .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).

2016 AAASalt Lake Bees · 80 PAwOBA .310 → .250 (−60)K% 10.0% → 13.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	10.00%	÷0.969	×1.290	—	—	13.31%
BB% (unintentional) /PA	3.75%	÷1.021	×0.710	—	×0.952	2.48%
HBP% /PA	1.25%	—	×0.980	—	×0.952	1.17%
Singles /BIP	29.23%	÷1.033	×0.900	×0.984	×0.952	23.86%
Doubles /BIP	6.15%	÷1.020	×0.810	×0.984	×0.952	4.58%
Triples /BIP	0.00%	÷1.137	×0.810	×0.984	×0.952	0.00%
Home runs /BIP	0.00%	÷1.035	×0.780	—	×0.952	0.00%

Factors used: league row PCL. Park (home-season share, regressed): HR 107, 1B 107, 2B 104, 3B 127, K 94, BB 104 — 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 ×0.984.

Result: wOBA .310 → .250; ISO .055 → .042; BABIP .348 → .280. 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 AAAMemphis Redbirds · 216 PAwOBA .344 → .284 (−59)K% 11.6% → 15.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	11.57%	÷0.997	×1.290	—	—	14.98%
BB% (unintentional) /PA	9.72%	÷1.031	×0.710	—	×0.972	6.51%
HBP% /PA	0.93%	—	×0.980	—	×0.972	0.88%
Singles /BIP	26.51%	÷1.034	×0.900	×1.017	×0.972	22.81%
Doubles /BIP	7.23%	÷0.917	×0.810	×1.017	×0.972	6.31%
Triples /BIP	0.00%	÷0.900	×0.810	×1.017	×0.972	0.00%
Home runs /BIP	1.20%	÷1.036	×0.780	—	×0.972	0.88%

Factors used: league row PCL. Park (home-season share, regressed): HR 107, 1B 107, 2B 83, 3B 80, K 99, BB 106 — 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 ×1.017.

Result: wOBA .344 → .284; ISO .094 → .079; BABIP .339 → .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).

2012 AAAMemphis Redbirds · 80 PAwOBA .354 → .298 (−56)K% 18.8% → 23.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.75%	÷1.033	×1.290	—	—	23.41%
BB% (unintentional) /PA	10.00%	÷1.014	×0.710	—	×0.992	6.95%
HBP% /PA	2.50%	—	×0.980	—	×0.992	2.43%
Singles /BIP	27.27%	÷0.985	×0.900	×1.025	×0.992	25.35%
Doubles /BIP	7.27%	÷0.916	×0.810	×1.025	×0.992	6.54%
Triples /BIP	3.64%	÷1.150	×0.810	×1.025	×0.992	2.60%
Home runs /BIP	0.00%	÷0.993	×0.780	—	×0.992	0.00%

Factors used: league row PCL. Park (home-season share, regressed): HR 99, 1B 97, 2B 83, 3B 130, K 107, BB 103 — 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 ×1.025.

Result: wOBA .354 → .298; ISO .114 → .090; BABIP .382 → .345. 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).

2011 AAAMemphis Redbirds · 193 PAwOBA .356 → .318 (−39)K% 8.3% → 10.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	8.29%	÷0.979	×1.290	—	—	10.92%
BB% (unintentional) /PA	9.84%	÷1.008	×0.710	—	×1.003	6.96%
HBP% /PA	0.52%	—	×0.980	—	×1.003	0.51%
Singles /BIP	23.18%	÷0.982	×0.900	×1.001	×1.003	21.33%
Doubles /BIP	5.30%	÷0.923	×0.810	×1.001	×1.003	4.67%
Triples /BIP	1.99%	÷0.999	×0.810	×1.001	×1.003	1.62%
Home runs /BIP	2.65%	÷0.893	×0.780	—	×1.003	2.32%

Factors used: league row PCL. Park (home-season share, regressed): HR 79, 1B 96, 2B 85, 3B 100, K 96, BB 102 — 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 ×1.001.

Result: wOBA .356 → .318; ISO .156 → .140; BABIP .305 → .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).

2011 AASpringfield Cardinals · 37 PAwOBA .581 → .492 (−89)K% 2.7% → 3.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	2.70%	÷1.002	×1.220	—	—	3.29%
BB% (unintentional) /PA	10.81%	÷0.973	×0.700	—	×0.978	7.60%
HBP% /PA	5.41%	—	×0.870	—	×0.978	4.60%
Singles /BIP	33.33%	÷0.988	×0.920	—	×0.978	30.35%
Doubles /BIP	6.67%	÷1.110	×0.840	—	×0.978	4.93%
Triples /BIP	0.00%	÷0.994	×0.940	—	×0.978	0.00%
Home runs /BIP	10.00%	÷1.030	×0.800	—	×0.978	7.59%

Factors used: league row TL. Park (home-season share, regressed): HR 106, 1B 98, 2B 122, 3B 99, K 100, BB 95 — 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 .581 → .492; ISO .355 → .280; BABIP .444 → .382. 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 — .