Aaron Hicks

PosCF

B/TS/R

Born1989-10-02

Age (2027)37

No MLB projection yet. Career stats below are historical.

Overview

MLBLAST SEASON 2024

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR
2022	32	MLBNYY	453	.216/.331/.312	8	10	84	0.3
2023	33	MLBBAL	312	.253/.354/.383	8	6	109	0.9
2024	34	MLBLAA	63	.140/.222/.193	1	0	21	-0.6
2025	35	No MLB games played
2026	36	No MLB games played

Last 3 seasons WAR 0.6

Contract

No contract data on file.

Skills · percentileStatcast 2022-2024

Speed40

xwOBA35

Barrel%26

Avg EV21

Bat Spd19

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)
2008	18	ROK	GCL Twins	—	204	173	55	10	4	4	28	32	0	12	2	318	413	491	904	173	367	16	14	395	87	—	—	—	—	—	—
2009	19	A	Beloit Snappers	—	297	251	63	15	3	4	40	55	1	10	8	251	356	382	739	131	303	19	13	331	72	—	—	—	—	—	—
2010	20	A	Beloit Snappers	—	518	423	118	27	6	8	88	112	0	21	11	279	403	428	831	149	359	22	17	371	87	—	—	—	—	—	—
2011	21	A+	Fort Myers Miracle	—	528	443	107	31	5	5	78	110	1	17	9	242	356	368	724	126	308	21	15	328	68	—	—	—	—	—	—
2011	21	INTL	Mesa Solar Sox	—	120	102	30	8	5	3	18	21	0	5	4	294	400	559	959	265	346	18	15	415	167	—	—	—	—	—	—
2012	22	AA	New Britain Rock Cats	—	563	472	135	21	11	13	79	116	1	32	11	286	389	460	849	174	348	21	14	371	108	—	—	—	—	—	—
2012	22	INTL	Bravos de Margarita	—	64	54	11	2	0	1	8	17	0	4	1	204	306	296	603	93	278	27	12	273	71	—	—	—	—	—	—
2013	23	MLB	Minnesota Twins	—	313	281	54	11	3	8	24	84	2	9	3	192	261	338	599	146	241	27	8	265	65	-13	+1	+4	+1	+7	-0.0
2013	23	AAA	Rochester Red Wings	—	82	72	16	4	2	0	10	21	0	1	0	222	317	333	650	111	314	26	12	297	58	—	—	—	—	—	—
2014	24	MLB	Minnesota Twins	—	225	186	40	8	0	1	36	56	0	4	3	215	342	274	617	59	300	25	16	291	83	-5	-0	-3	+2	+5	-0.1
2014	24	AAA	Rochester Red Wings	—	84	72	20	5	0	1	9	13	0	1	1	278	358	389	747	111	317	15	11	327	81	—	—	—	—	—	—
2014	24	AA	New Britain Rock Cats	—	178	148	44	11	1	4	28	27	0	2	3	297	409	466	875	169	336	15	16	387	116	—	—	—	—	—	—
2014	24	INTL	Bravos de Margarita	—	63	50	11	0	0	1	13	11	0	1	2	220	381	280	661	60	263	17	21	321	103	—	—	—	—	—	—
2015	25	MLB	Minnesota Twins	—	390	352	90	11	3	11	34	66	2	13	3	256	325	398	722	142	285	17	9	323	102	+1	+1	+8	+2	+8	2.1
2015	25	AAA	Rochester Red Wings	—	168	149	51	13	4	3	17	30	0	2	1	342	410	544	953	201	407	18	10	413	147	—	—	—	—	—	—
2016	26	MLB	New York Yankees	—	361	327	71	13	1	8	30	68	0	3	4	217	283	336	619	119	248	19	8	278	71	-12	-1	-1	-4	+8	-1.1
2017	27	MLB	New York Yankees	—	361	301	80	18	0	15	51	67	3	10	5	266	377	475	853	209	290	19	14	373	135	+15	+0	+1	+1	+8	2.6
2017	27	AAA	Scranton/Wilkes-Barre RailRiders	—	18	16	6	2	1	0	2	2	0	1	0	375	444	625	1.069	250	429	11	11	461	148	—	—	—	—	—	—
2018	28	MLB	New York Yankees	—	581	480	119	18	3	27	90	111	3	11	2	248	370	467	837	219	264	19	15	367	130	+21	+1	-3	+2	+13	3.5
2019	29	MLB	New York Yankees	—	255	221	52	10	0	12	31	72	0	1	2	235	329	443	773	208	286	28	12	340	112	+4	-1	-3	+1	+6	0.7
2020	30	MLB	New York Yankees	—	211	169	38	10	2	6	41	38	1	4	1	225	379	414	793	189	256	18	19	360	126	+6	+0	-4	+1	+5	0.9
2021	31	MLB	New York Yankees	—	126	108	21	3	0	4	14	30	2	0	0	194	298	333	632	139	224	24	11	286	77	-3	+0	-0	+1	+3	-0.0
2021	31	INTL	Leones del Escogido	—	53	49	13	4	0	1	4	10	0	2	0	265	321	408	729	143	316	19	8	325	106	—	—	—	—	—	—
2022	32	MLB	New York Yankees	—	453	384	83	9	2	8	62	109	4	10	3	216	331	312	644	96	279	24	14	299	84	-9	+1	-1	+2	+10	0.3
2023	33	MLB	Baltimore Orioles	—	312	269	68	9	1	8	42	69	0	6	0	253	354	383	737	130	311	22	13	335	109	+3	+1	-4	+1	+7	0.9
2024	34	MLB	Los Angeles Angels	—	63	57	8	0	0	1	6	23	0	0	0	140	222	193	415	53	212	37	10	200	21	-6	+0	-1	-1	+1	-0.6
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	3651	3135	724	120	15	109	461	793	17	71	26	231	333	383	716	152	272	22	13	321	104	+16	+4	-6	+9	+79	10.4
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2008	18	ROK MLE	GCL Twins	—	204	185	45	7	3	3	16	46	0	12	2	243	303	362	666	119	299	23	8	297	87	—	—	—	—	—	—
2009	19	A MLE	Beloit Snappers	—	297	263	57	13	3	3	28	75	1	10	8	217	295	323	618	106	279	25	9	274	72	—	—	—	—	—	—
2010	20	A MLE	Beloit Snappers	—	518	451	105	22	5	7	60	151	0	21	11	233	323	350	673	118	322	29	12	297	87	—	—	—	—	—	—
2011	21	A+ MLE	Fort Myers Miracle	—	528	467	94	31	4	4	54	164	1	17	9	201	285	310	596	109	292	31	10	269	68	—	—	—	—	—	—
2012	22	AA MLE	New Britain Rock Cats	—	563	498	131	18	11	13	53	144	1	32	11	263	335	422	757	159	327	26	9	328	108	—	—	—	—	—	—
2013	23	MLB MLE	Minnesota Twins	—	313	281	54	11	3	8	24	84	2	9	3	192	261	338	599	146	241	27	8	264	65	-13	+1	+4	+1	+7	-0.0
2013	23	AAA MLE	Rochester Red Wings	—	82	76	15	4	2	0	6	26	0	1	0	197	256	303	559	105	303	32	7	254	58	—	—	—	—	—	—
2014	24	MLB MLE	Minnesota Twins	—	225	186	40	8	0	1	36	56	0	4	3	215	342	274	617	59	300	25	16	291	83	-5	-0	-3	+2	+5	-0.1
2014	24	AAA MLE	Rochester Red Wings	—	84	75	19	4	0	1	6	16	0	1	1	253	309	347	655	93	292	19	7	288	81	—	—	—	—	—	—
2014	24	AA MLE	New Britain Rock Cats	—	178	160	44	10	1	3	16	33	0	2	3	275	341	406	747	131	328	19	9	339	116	—	—	—	—	—	—
2015	25	MLB MLE	Minnesota Twins	—	390	354	90	11	3	11	32	66	2	13	3	254	320	395	715	141	285	17	8	319	102	+1	+1	+8	+2	+8	2.1
2015	25	AAA MLE	Rochester Red Wings	—	168	154	52	12	5	3	12	35	0	2	1	338	386	539	925	201	402	21	7	385	147	—	—	—	—	—	—
2016	26	MLB MLE	New York Yankees	—	361	328	70	13	1	7	29	68	0	3	4	213	277	323	600	110	248	19	8	273	71	-12	-1	-1	-4	+8	-1.1
2017	27	MLB MLE	New York Yankees	—	361	301	79	18	0	14	51	67	3	10	5	262	375	462	836	199	290	19	14	368	135	+15	+0	+1	+1	+8	2.6
2017	27	AAA MLE	Scranton/Wilkes-Barre RailRiders	—	18	17	6	2	1	0	1	2	0	1	0	353	389	588	977	235	385	11	6	387	148	—	—	—	—	—	—
2018	28	MLB MLE	New York Yankees	—	581	481	117	18	3	25	89	111	3	11	2	243	365	449	814	206	264	19	15	360	130	+21	+1	-3	+2	+13	3.5
2019	29	MLB MLE	New York Yankees	—	255	221	51	10	0	11	31	72	0	1	2	231	325	425	751	195	286	28	12	334	112	+4	-1	-3	+1	+6	0.7
2020	30	MLB MLE	New York Yankees	—	211	170	38	10	2	6	40	38	1	4	1	224	374	412	786	188	256	18	19	354	126	+6	+0	-4	+1	+5	0.9
2021	31	MLB MLE	New York Yankees	—	126	108	21	3	0	4	14	30	2	0	0	194	298	333	632	139	224	24	11	283	77	-3	+0	-0	+1	+3	-0.0
2022	32	MLB MLE	New York Yankees	—	453	387	82	9	2	7	59	109	4	10	3	212	322	300	622	88	279	24	13	293	84	-9	+1	-1	+2	+10	0.3
2023	33	MLB MLE	Baltimore Orioles	—	312	270	67	8	1	8	41	69	0	6	0	248	347	374	721	126	311	22	13	329	109	+3	+1	-4	+1	+7	0.9
2024	34	MLB MLE	Los Angeles Angels	—	63	57	8	0	0	1	6	23	0	0	0	140	222	193	415	53	212	37	10	199	21	-6	+0	-1	-1	+1	-0.6
2008	18	ROK MLE	GCL Twins	—	204	185	45	7	3	3	16	46	0	12	2	243	303	362	666	119	304	23	8	297	87	—	—	—	—	—	—
2008	18	ROK RAW	GCL Twins	—	204	173	55	10	4	4	28	32	0	12	2	318	413	491	904	173	367	16	14	395	87	—	—	—	—	—	—
2009	19	A MLE	Beloit Snappers	—	297	263	57	13	3	3	28	75	1	10	8	217	295	323	618	106	287	25	9	274	72	—	—	—	—	—	—
2009	19	A RAW	Beloit Snappers	—	297	251	63	15	3	4	40	55	1	10	8	251	356	382	739	131	303	19	13	331	72	—	—	—	—	—	—
2010	20	A MLE	Beloit Snappers	—	518	451	105	22	5	7	60	151	0	21	11	233	323	350	673	118	331	29	12	297	87	—	—	—	—	—	—
2010	20	A RAW	Beloit Snappers	—	518	423	118	27	6	8	88	112	0	21	11	279	403	428	831	149	359	22	17	371	87	—	—	—	—	—	—
2011	21	A+ MLE	2 teams	—	648	574	115	38	5	5	67	201	1	22	13	200	285	310	595	110	296	31	10	269	68	—	—	—	—	—	—
2011	21	A+ RAW	2 teams	—	648	545	137	39	10	8	96	131	1	22	13	251	364	404	768	152	315	20	15	344	68	—	—	—	—	—	—
2012	22	AA MLE	2 teams	—	627	553	146	20	12	15	60	161	1	36	12	264	337	425	762	161	340	26	10	328	108	—	—	—	—	—	—
2012	22	AA RAW	2 teams	—	627	526	146	23	11	14	87	133	1	36	12	278	381	443	824	165	341	21	14	361	108	—	—	—	—	—	—
2013	23	MLB MLE	2 teams	—	395	357	69	15	5	8	30	110	2	10	3	193	260	331	590	137	253	28	8	262	64	-17	+1	+4	+1	+9	-0.3
2013	23	MLB RAW	2 teams	—	395	353	70	15	5	8	34	105	2	10	3	198	272	337	610	139	256	27	9	271	64	-17	+1	+4	+1	+9	-0.3
2014	24	MLB MLE	4 teams	—	550	476	117	25	1	6	66	118	0	8	9	246	338	340	678	95	311	21	12	308	95	-4	-2	-3	+2	+12	0.6
2014	24	MLB RAW	4 teams	—	550	456	115	24	1	7	86	107	0	8	9	252	371	355	726	103	311	19	16	331	95	-4	-2	-3	+2	+12	0.6
2015	25	MLB MLE	2 teams	—	558	508	142	23	8	14	44	101	2	15	4	280	339	439	778	159	322	18	8	339	115	+10	+1	+8	+2	+12	3.4
2015	25	MLB RAW	2 teams	—	558	501	141	24	7	14	51	96	2	15	4	281	350	441	791	160	322	17	9	350	115	+10	+1	+8	+2	+12	3.4
2016	26	MLB MLE	New York Yankees	—	361	328	70	13	1	7	29	68	0	3	4	213	277	323	600	110	246	19	8	273	71	-12	-1	-1	-4	+8	-1.1
2016	26	MLB RAW	New York Yankees	—	361	327	71	13	1	8	30	68	0	3	4	217	283	336	619	119	248	19	8	278	71	-12	-1	-1	-4	+8	-1.1
2017	27	MLB MLE	2 teams	—	379	318	85	20	1	14	52	69	3	11	5	267	375	469	844	201	296	18	14	369	136	+16	+0	+1	+1	+8	2.7
2017	27	MLB RAW	2 teams	—	379	317	86	20	1	15	53	69	3	11	5	271	381	483	863	211	298	18	14	377	136	+16	+0	+1	+1	+8	2.7
2018	28	MLB MLE	New York Yankees	—	581	481	117	18	3	25	89	111	3	11	2	243	365	449	814	206	262	19	15	360	130	+21	+1	-3	+2	+13	3.5
2018	28	MLB RAW	New York Yankees	—	581	480	119	18	3	27	90	111	3	11	2	248	370	467	837	219	264	19	15	367	130	+21	+1	-3	+2	+13	3.5
2019	29	MLB MLE	New York Yankees	—	255	221	51	10	0	11	31	72	0	1	2	231	325	425	751	195	284	28	12	334	112	+4	-1	-3	+1	+6	0.7
2019	29	MLB RAW	New York Yankees	—	255	221	52	10	0	12	31	72	0	1	2	235	329	443	773	208	286	28	12	340	112	+4	-1	-3	+1	+6	0.7
2020	30	MLB MLE	New York Yankees	—	211	170	38	10	2	6	40	38	1	4	1	224	374	412	786	188	254	18	19	354	126	+6	+0	-4	+1	+5	0.9
2020	30	MLB RAW	New York Yankees	—	211	169	38	10	2	6	41	38	1	4	1	225	379	414	793	189	256	18	19	360	126	+6	+0	-4	+1	+5	0.9
2021	31	MLB MLE	2 teams	—	179	155	29	4	0	5	20	43	2	2	0	187	288	310	598	123	220	24	11	283	77	-5	+0	-0	+1	+4	-0.0
2021	31	MLB RAW	2 teams	—	179	157	34	7	0	5	18	40	2	2	0	217	305	357	662	140	254	22	10	298	77	-5	+0	-0	+1	+4	-0.0
2022	32	MLB MLE	New York Yankees	—	453	387	82	9	2	7	59	109	4	10	3	212	322	300	622	88	275	24	13	293	84	-9	+1	-1	+2	+10	0.3
2022	32	MLB RAW	New York Yankees	—	453	384	83	9	2	8	62	109	4	10	3	216	331	312	644	96	279	24	14	299	84	-9	+1	-1	+2	+10	0.3
2023	33	MLB MLE	Baltimore Orioles	—	312	270	67	8	1	8	41	69	0	6	0	248	347	374	721	126	304	22	13	329	109	+3	+1	-4	+1	+7	0.9
2023	33	MLB RAW	Baltimore Orioles	—	312	269	68	9	1	8	42	69	0	6	0	253	354	383	737	130	311	22	13	335	109	+3	+1	-4	+1	+7	0.9
2024	34	MLB MLE	Los Angeles Angels	—	63	57	8	0	0	1	6	23	0	0	0	140	222	193	415	53	212	37	10	199	21	-6	+0	-1	-1	+1	-0.6
2024	34	MLB RAW	Los Angeles Angels	—	63	57	8	0	0	1	6	23	0	0	0	140	222	193	415	53	212	37	10	200	21	-6	+0	-1	-1	+1	-0.6
2008	18	ROK MLE	GCL Twins	—	204	186	45	7	3	3	16	46	0	12	2	242	303	360	664	118	299	23	8	297	87	—	—	—	—	—	—
2009	19	A MLE	Beloit Snappers	—	297	266	57	13	3	3	28	75	1	10	8	214	295	320	614	105	279	25	9	274	72	—	—	—	—	—	—
2010	20	A MLE	Beloit Snappers	—	518	453	105	22	5	7	60	151	0	21	11	232	323	349	672	117	322	29	12	297	87	—	—	—	—	—	—
2011	21	A+ MLE	2 teams	—	648	575	115	38	5	5	67	201	1	22	13	200	285	310	595	110	292	31	10	269	68	—	—	—	—	—	—
2012	22	AA MLE	2 teams	—	627	561	146	20	12	15	60	161	1	36	12	260	337	419	756	159	327	26	10	328	108	—	—	—	—	—	—
2013	23	MLB MLE	2 teams	—	395	360	69	15	5	8	30	110	2	10	3	192	260	328	587	136	254	28	8	262	64	—	—	—	—	—	—
2014	24	MLB MLE	4 teams	—	550	479	117	25	1	6	66	118	0	8	9	244	338	338	676	94	309	21	12	308	95	—	—	—	—	—	—
2015	25	MLB MLE	2 teams	—	558	507	142	23	8	14	44	101	2	15	4	280	339	440	779	160	320	18	8	339	115	—	—	—	—	—	—
2016	26	MLB MLE	New York Yankees	—	361	329	70	13	1	7	29	68	0	3	4	213	277	322	599	109	248	19	8	273	71	—	—	—	—	—	—
2017	27	MLB MLE	2 teams	—	379	321	85	20	1	14	52	69	3	11	5	265	375	464	840	199	295	18	14	369	136	—	—	—	—	—	—
2018	28	MLB MLE	New York Yankees	—	581	484	117	18	3	25	89	111	3	11	2	242	365	446	811	205	264	19	15	360	130	—	—	—	—	—	—
2019	29	MLB MLE	New York Yankees	—	255	222	51	10	0	11	31	72	0	1	2	230	325	423	749	194	286	28	12	334	112	—	—	—	—	—	—
2020	30	MLB MLE	New York Yankees	—	211	168	38	10	2	6	40	38	1	4	1	226	374	417	791	190	256	18	19	354	126	—	—	—	—	—	—
2021	31	MLB MLE	2 teams	—	179	155	29	4	0	5	20	43	2	2	0	187	288	310	598	123	224	24	11	283	77	—	—	—	—	—	—
2022	32	MLB MLE	New York Yankees	—	453	387	82	9	2	7	59	109	4	10	3	212	322	300	622	88	279	24	13	293	84	—	—	—	—	—	—
2023	33	MLB MLE	Baltimore Orioles	—	312	268	67	8	1	8	41	69	0	6	0	250	347	377	724	127	311	22	13	329	109	—	—	—	—	—	—
2024	34	MLB MLE	Los Angeles Angels	—	63	57	8	0	0	1	6	23	0	0	0	140	222	193	415	53	212	37	10	199	21	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	34	MLB MLE	Los Angeles Angels	—	63	57	8	0	0	1	6	23	0	0	0	140	222	193	415	53	212	37	10	199	21	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	3651	3135	724	120	15	109	461	793	17	71	26	231	333	383	716	152	272	22	13	321	96	+16	+4	-6	+9	+79	10.4
/ 162G	—	A+C		—	650	558	128	21	3	19	82	141	3	13	5	229	331	380	711	151	270	22	13	321	96	+3	+1	-1	+2	+14	1.9
Career	—	MLE		—	6591	5754	1343	255	52	145	738	1565	20	182	79	233	323	371	694	138	292	24	11	310	96	+16	+4	-6	+9	+79	10.4
/ 162G	—	MLE		—	650	567	132	25	5	14	73	154	2	18	8	233	322	369	691	136	292	24	11	310	96	+3	+1	-1	+2	+14	1.9

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 AAAScranton/Wilkes-Barre RailRiders · 18 PAwOBA .449 → .387 (−62)K% 11.1% → 13.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	11.11%	÷0.995	×1.200	—	—	13.40%
BB% (unintentional) /PA	11.11%	÷1.105	×0.690	—	×0.992	6.89%
HBP% /PA	0.00%	—	×0.940	—	×0.992	0.00%
Singles /BIP	21.43%	÷0.980	×0.930	—	×0.992	20.18%
Doubles /BIP	14.29%	÷0.951	×0.830	—	×0.992	12.37%
Triples /BIP	7.14%	÷1.150	×0.970	—	×0.992	5.98%
Home runs /BIP	0.00%	÷1.247	×0.840	—	×0.992	0.00%

Factors used: league row IL. Park (home-season share, regressed): HR 149, 1B 96, 2B 90, 3B 130, K 99, BB 121 — 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).

Result: wOBA .449 → .387; ISO .250 → .218; BABIP .429 → .385. 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 AAARochester Red Wings · 168 PAwOBA .407 → .385 (−22)K% 17.9% → 20.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.86%	÷1.030	×1.200	—	—	20.80%
BB% (unintentional) /PA	10.12%	÷0.980	×0.690	—	×1.018	7.25%
HBP% /PA	0.00%	—	×0.940	—	×1.018	0.00%
Singles /BIP	26.05%	÷0.979	×0.930	×1.049	×1.018	26.44%
Doubles /BIP	10.92%	÷0.987	×0.830	×1.049	×1.018	9.81%
Triples /BIP	3.36%	÷0.932	×0.970	×1.049	×1.018	3.74%
Home runs /BIP	2.52%	÷0.956	×0.840	—	×1.018	2.25%

Factors used: league row IL. Park (home-season share, regressed): HR 91, 1B 96, 2B 97, 3B 86, K 106, BB 96 — 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 ×1.049.

Result: wOBA .407 → .385; ISO .201 → .195; BABIP .407 → .402. 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 AANew Britain Rock Cats · 178 PAwOBA .380 → .339 (−42)K% 15.2% → 18.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.17%	÷0.989	×1.220	—	—	18.72%
BB% (unintentional) /PA	15.17%	÷1.155	×0.700	—	×0.998	9.17%
HBP% /PA	0.00%	—	×0.850	—	×0.998	0.00%
Singles /BIP	23.14%	÷0.967	×0.970	×1.021	×0.998	23.67%
Doubles /BIP	9.09%	÷0.999	×0.860	×1.021	×0.998	7.98%
Triples /BIP	0.83%	÷1.011	×0.950	×1.021	×0.998	0.79%
Home runs /BIP	3.31%	÷0.956	×0.780	—	×0.998	2.69%

Factors used: league row EL. Park (home-season share, regressed): HR 91, 1B 93, 2B 100, 3B 102, K 98, BB 131 — applied at half strength. Age: age 25 vs a level average of 24.8 → −0.2% on BB/HBP/hit rates (0.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.021.

Result: wOBA .380 → .339; ISO .169 → .153; BABIP .336 → .328. 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 AAARochester Red Wings · 84 PAwOBA .326 → .288 (−38)K% 15.5% → 18.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.48%	÷1.002	×1.200	—	—	18.53%
BB% (unintentional) /PA	10.71%	÷1.125	×0.690	—	×1.033	6.79%
HBP% /PA	0.00%	—	×0.940	—	×1.033	0.00%
Singles /BIP	23.73%	÷1.010	×0.930	×1.010	×1.033	22.79%
Doubles /BIP	8.47%	÷1.059	×0.830	×1.010	×1.033	6.93%
Triples /BIP	0.00%	÷0.900	×0.970	×1.010	×1.033	0.00%
Home runs /BIP	1.69%	÷1.075	×0.840	—	×1.033	1.37%

Factors used: league row IL. Park (home-season share, regressed): HR 115, 1B 102, 2B 112, 3B 80, K 100, BB 125 — 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 ×1.010.

Result: wOBA .326 → .288; ISO .111 → .096; BABIP .317 → .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).

2013 AAARochester Red Wings · 82 PAwOBA .286 → .254 (−31)K% 25.6% → 31.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.61%	÷0.987	×1.200	—	—	31.13%
BB% (unintentional) /PA	10.98%	÷1.026	×0.690	—	×1.048	7.74%
HBP% /PA	0.00%	—	×0.940	—	×1.048	0.00%
Singles /BIP	19.61%	÷1.040	×0.930	×1.018	×1.048	18.70%
Doubles /BIP	7.84%	÷0.977	×0.830	×1.018	×1.048	7.11%
Triples /BIP	3.92%	÷0.900	×0.970	×1.018	×1.048	4.51%
Home runs /BIP	0.00%	÷0.938	×0.840	—	×1.048	0.00%

Factors used: league row IL. Park (home-season share, regressed): HR 88, 1B 108, 2B 95, 3B 80, K 97, BB 105 — 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 ×1.018.

Result: wOBA .286 → .254; ISO .111 → .112; BABIP .314 → .303. 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 AANew Britain Rock Cats · 563 PAwOBA .366 → .328 (−38)K% 20.6% → 25.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.60%	÷0.983	×1.220	—	—	25.58%
BB% (unintentional) /PA	13.68%	÷1.036	×0.700	—	×1.027	9.49%
HBP% /PA	0.18%	—	×0.850	—	×1.027	0.16%
Singles /BIP	25.28%	÷1.015	×0.970	×0.985	×1.027	24.43%
Doubles /BIP	5.90%	÷1.067	×0.860	×0.985	×1.027	4.81%
Triples /BIP	3.09%	÷0.981	×0.950	×0.985	×1.027	3.03%
Home runs /BIP	3.65%	÷0.811	×0.780	—	×1.027	3.61%

Factors used: league row EL. Park (home-season share, regressed): HR 62, 1B 103, 2B 113, 3B 96, K 97, BB 107 — applied at half strength. Age: age 23 vs a level average of 24.8 → +2.7% on BB/HBP/hit rates (1.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.985.

Result: wOBA .366 → .328; ISO .174 → .167; BABIP .348 → .327. 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 A+Fort Myers Miracle · 528 PAwOBA .319 → .269 (−49)K% 20.8% → 31.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.83%	÷0.955	×1.420	—	—	30.96%
BB% (unintentional) /PA	13.83%	÷1.017	×0.750	—	×1.012	10.31%
HBP% /PA	0.19%	—	×0.930	—	×1.012	0.18%
Singles /BIP	19.82%	÷1.042	×0.920	×1.002	×1.012	17.75%
Doubles /BIP	9.31%	÷0.910	×0.960	×1.002	×1.012	9.97%
Triples /BIP	1.50%	÷0.900	×0.810	×1.002	×1.012	1.37%
Home runs /BIP	1.50%	÷0.978	×0.880	—	×1.012	1.37%

Factors used: league row FSL. Park (home-season share, regressed): HR 96, 1B 108, 2B 82, 3B 80, K 91, BB 103 — applied at half strength. Age: age 22 vs a level average of 22.8 → +1.2% on BB/HBP/hit rates (0.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.002.

Result: wOBA .319 → .269; ISO .126 → .117; BABIP .308 → .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).

2010 ABeloit Snappers · 518 PAwOBA .363 → .297 (−66)K% 21.6% → 29.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.62%	÷1.009	×1.360	—	—	29.14%
BB% (unintentional) /PA	16.60%	÷0.999	×0.690	—	×1.015	11.64%
HBP% /PA	0.00%	—	×0.780	—	×1.015	0.00%
Singles /BIP	24.76%	÷1.000	×0.920	×0.999	×1.015	23.10%
Doubles /BIP	8.68%	÷1.016	×0.830	×0.999	×1.015	7.20%
Triples /BIP	1.93%	÷1.150	×0.910	×0.999	×1.015	1.55%
Home runs /BIP	2.57%	÷0.970	×0.800	—	×1.015	2.15%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 94, 1B 100, 2B 103, 3B 130, K 102, BB 100 — applied at half strength. Age: age 21 vs a level average of 22.0 → +1.5% on BB/HBP/hit rates (1.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.999.

Result: wOBA .363 → .297; ISO .149 → .121; BABIP .359 → .322. 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 — .