Aaron Hicks — OGILVIE

Aaron HicksCF Los Angeles Angels

Age 36 S/R 6'1" / 205 lbs MLB HR -5% Svc 13.000 · Ctrl thru 2026 peak 0.1 · 2026

wRC+†82

AVG/OBP/SLG.214 / .304 / .335

PA143

HR3

K%24

BB%11

MLB%100%

Scouting · now → future

PWR

44→44

SPD

50→50

EYE

66→66

Contract

ESTIMATED · service-time + WAR-based estimator (needs verification)

Status FA

MLB Debut 2013

Service 13.000 yrs.days

Team Control Through 2026

First FA Year 2027

Year	Status	Salary	Proj WAR	Value	Surplus
2026	Ext / FA-deal	$1M	+0.1	$0.4M	-$0.6M
Totals		$1M		$0.4M	-$0.6M

Career Projections (MLE)

All seasons translated to park-neutral MLB-equivalent (MLE) and combined per year. 2026 = actual YTD + projected ROS + total. 2027+ via Advanced Marcel + aging curve.

Year	Age	Lvl	Team	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
2008	18	ROK	GCL Twins	204	185	44	7	3	3	16	46	0	12	2	.238	.299	.357	.655	.119	.297	23	8	.295	84	-4	+2	+0	+1	+6	0.4
2009	19	A	Beloit Snappers	297	263	56	12	3	3	28	70	1	10	8	.213	.291	.316	.607	.103	.275	24	9	.271	66	-12	-1	+0	+1	+8	-0.3
2010	20	A	Beloit Snappers	518	450	105	22	4	7	61	141	0	21	11	.233	.325	.347	.672	.113	.321	27	12	.297	85	-9	-0	+0	+2	+15	0.8
2011	21	A+	2 teams	648	575	115	38	6	5	66	202	1	22	13	.200	.283	.313	.597	.113	.296	31	10	.269	64	-26	-1	+0	+2	+18	-0.7
2012	22	AA	2 teams	627	555	142	19	12	16	58	169	1	36	12	.256	.327	.420	.747	.164	.333	27	9	.322	105	+3	+2	+0	+2	+18	2.6
2013	23	MLB	2 teams	395	357	68	14	5	8	30	110	2	10	3	.190	.257	.325	.582	.134	.249	28	8	.258	56	-20	+1	+4	+1	+11	-0.3
2014	24	MLB	4 teams	550	477	117	25	1	6	65	120	0	8	9	.245	.336	.340	.675	.094	.312	22	12	.303	90	-6	-2	-3	+2	+16	0.7
2015	25	MLB	2 teams	558	506	140	23	7	13	46	101	2	15	4	.277	.339	.427	.766	.150	.321	18	8	.334	114	+9	+1	+8	+2	+16	3.6
2016	26	MLB	New York Yankees	361	327	70	13	1	6	30	68	0	3	4	.214	.280	.315	.595	.101	.250	19	8	.260	57	-18	-1	-1	-4	+10	-1.4
2017	27	MLB	2 teams	379	318	86	21	1	14	52	69	3	11	5	.270	.378	.475	.853	.204	.300	18	14	.364	137	+16	+0	+1	+1	+11	3.0
2018	28	MLB	New York Yankees	581	480	118	19	3	25	90	111	3	11	2	.246	.368	.454	.822	.208	.266	19	15	.350	126	+17	+1	-3	+2	+16	3.5
2019	29	MLB	New York Yankees	255	221	53	11	0	12	31	72	0	1	2	.240	.333	.452	.786	.213	.293	28	12	.336	115	+4	-1	-3	+1	+7	1.0
2020	30	MLB	New York Yankees	211	169	33	8	1	4	41	38	1	4	1	.195	.355	.325	.681	.130	.228	18	19	.324	106	+1	+0	-4	+1	+6	0.5
2021	31	MLB	2 teams	179	155	31	5	0	6	20	43	2	2	0	.200	.299	.348	.648	.148	.231	24	11	.282	74	-5	+0	-0	+1	+5	0.0
2022	32	MLB	New York Yankees	453	384	84	9	2	8	62	109	4	10	3	.219	.333	.315	.648	.096	.283	24	14	.290	80	-10	+1	-1	+2	+13	0.5
2023	33	MLB	Baltimore Orioles	312	269	68	9	1	8	42	69	0	6	0	.253	.354	.383	.737	.130	.311	22	13	.329	110	+3	+1	-4	+1	+9	1.1
2024	34	MLB	Los Angeles Angels	63	57	8	0	0	1	6	23	0	0	0	.140	.222	.193	.415	.053	.212	37	10	.200	11	-6	+0	-1	-1	+2	-0.6
▸ 2026 Season
2026	36	MLB	LAA	143	126	27	4	1	3	16	34	0	2	1	.214	.303	.333	.636	.119	.266	24	11	.293	82	-3	+0	-0	+1	+4	0.1
▸ Career Totals (MLE all levels + projections)
Career	—			6734	5874	1365	259	51	148	760	1595	20	184	80	.232	.322	.369	.692	.137	.291	24	11	.305	92	-64	+5	-6	+18	+191	14.6
/ 162G	—			650	567	132	25	5	14	73	154	2	18	8	.233	.322	.369	.691	.136	.292	24	11	.305	92	-6	+0	-1	+2	+18	1.4

Historical Stats — Raw (Per Stint)

Actual MLB + MiLB stats as they happened, one row per stint at each level. Use this to see what really got recorded; the table above shows MLB-equivalent translations + projections.

Year	Age	Lvl	Team	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
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	161	+14	+2	—	—	+6	2.2
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	111	+4	-1	—	—	+8	1.1
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	142	+25	-0	—	—	+15	4.0
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	109	+5	-0	—	—	+15	2.1
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	176	+10	-1	—	—	+3	1.3
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	142	+27	+2	—	—	+16	4.6
2012	22	INTL	Bravos de Margarita	64	54	11	2	0	1	8	17	0	4	1	.204	.306	.296	.603	.093	.278	27	12	.273	67	-2	+0	—	—	+2	-0.0
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	61	-14	+1	+4	+1	+9	0.1
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	86	-1	+0	—	—	+2	0.1
2014	24	MLB	Minnesota Twins	225	186	40	8	0	1	36	56	0	4	3	.215	.342	.274	.617	.059	.300	25	16	.291	81	-5	-0	-3	+2	+6	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	108	+1	-0	—	—	+2	0.3
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	155	+11	-1	—	—	+5	1.6
2014	24	INTL	Bravos de Margarita	63	50	11	0	0	1	13	11	0	1	2	.220	.381	.280	.661	.060	.263	17	21	.321	104	+0	-1	—	—	+2	0.1
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	105	+2	+1	+8	+2	+11	2.5
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	174	+14	+0	—	—	+5	1.9
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	+10	-0.8
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	144	+18	+0	+1	+1	+10	3.1
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	211	+2	+0	—	—	+1	0.3
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	139	+26	+1	-3	+2	+16	4.4
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	118	+5	-1	-3	+1	+7	1.0
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	134	+8	+0	-4	+1	+6	1.2
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	+4	0.1
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	107	+0	+0	—	—	+2	0.2
2022	32	MLB	New York Yankees	453	384	83	9	2	8	62	109	4	10	3	.216	.331	.312	.644	.096	.279	24	14	.299	87	-7	+1	-1	+2	+13	0.8
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	114	+5	+1	-4	+1	+9	1.2
2024	34	MLB	Los Angeles Angels	63	57	8	0	0	1	6	23	0	0	0	.140	.222	.193	.415	.053	.212	37	10	.200	11	-6	+0	-1	-1	+2	-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	+17	+4	-6	+9	+103	13.0

Career Path Comps

What happened to players with a similar stat profile at this age · Y-axis: wRC+ (100 = league avg, 150 = elite, 80 = below) · Bands: P10–P90 outer, P25–P75 inner · Gold: OGILVIE projection

		Scouting				At Match Age									Next 3 Yrs									Peak 3 Yrs
Comp	Age	HIT	PWR	SPD	EYE	AVG/OBP/SLG	ISO	BABIP	HR	SB	K%	BB%	wRC+	WAR	AVG/OBP/SLG	ISO	BABIP	HR	SB	K%	BB%	wRC+	WAR	AVG/OBP/SLG	ISO	BABIP	HR	SB	K%	BB%	wRC+	WAR
Aaron Hicks (OGILVIE)	36	—	44	50	66	.214/.304/.335	.121	.266	3	2	24%	11%	82	+0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Dioner Navarro 2019 · MLB	35	44→54	46→50	45	48	.220/.282/.348	.128	.260	14	7	22%	8%	75	-0.0	.225/.302/.343	.118	.278	12	8	22%	9%	82	+0.5	.182/.269/.232	.050	.233	5	0	22%	10%	38	-0.5
✕Matt Treanor 2012 · MLB	36	45	41→40	40	56	.216/.313/.306	.090	.257	9	6	19%	11%	79	+0.3	.216/.312/.331	.115	.267	11	8	22%	11%	84	+0.6	.161/.271/.266	.105	.201	10	5	24%	11%	41	-0.5
✕Curtis Pride 2005 · MLB	36	48	46→45	51→55	43	.239/.295/.372	.133	.300	13	12	24%	6%	87	+0.8	.242/.317/.378	.136	.327	12	18	27%	10%	97	+1.5	.234/.314/.359	.125	.326	11	21	29%	10%	89	+0.5
✕Anthony Recker 2018 · MLB	34	42→48	47→50	49→45	44	.210/.284/.344	.134	.285	14	5	30%	8%	76	+0.0	.215/.278/.370	.155	.292	18	5	31%	7%	79	+0.3	.196/.261/.371	.175	.257	22	0	32%	7%	69	-0.2
✕Andrés Blanco 2019 · MLB	35	45→47	44→50	45→50	48	.221/.292/.341	.120	.261	12	8	20%	7%	78	+0.2	.220/.294/.367	.147	.269	18	6	25%	7%	86	+0.8	.209/.288/.364	.156	.256	21	2	27%	7%	79	+0.2
✕Don Kelly 2016 · MLB	36	47→57	42→45	51→55	58	.227/.312/.329	.102	.254	9	11	15%	10%	83	+0.6	.201/.269/.283	.082	.249	6	7	21%	8%	53	-1.5	.163/.227/.209	.046	.208	2	2	21%	7%	14	-1.8
✕Michael Tucker 2007 · MLB	36	49→52	45→55	51→55	59	.238/.331/.371	.134	.276	12	11	18%	12%	102	+1.8	.219/.310/.345	.126	.274	12	9	23%	11%	87	+0.8	.186/.289/.300	.114	.245	11	2	26%	12%	63	-0.4
✕Tom Prince 2001 · MLB	36	49	46→50	50→45	51	.239/.316/.376	.137	.293	13	8	22%	9%	96	+1.5	.231/.306/.380	.149	.262	17	8	19%	8%	94	+1.3	.217/.295/.364	.147	.239	18	7	18%	7%	84	+0.2
✕Alan Zinter 2005 · MLB	37	46	51→55	49→40	43	.230/.296/.393	.163	.322	19	9	33%	8%	93	+1.3	.216/.281/.358	.142	.298	16	6	31%	8%	77	+0.1	.192/.258/.332	.141	.261	17	1	32%	8%	60	-0.3
✕Said Gutierrez 2016 · AAA	36	45	46→50	48→40	44	.228/.271/.344	.117	.255	15	5	18%	5%	69	-0.4	.239/.276/.343	.104	.283	14	4	20%	4%	71	-0.3	.258/.291/.343	.085	.307	13	0	20%	3%	74	-0.0
✕Luis Antonio Rodriguez 2015 · AAA	35	47→51	44→45	42→45	50	.227/.286/.342	.115	.248	11	5	14%	6%	75	-0.0	.241/.294/.349	.108	.282	11	8	18%	6%	80	+0.4	.285/.335/.363	.077	.328	9	4	15%	6%	95	+0.3
✕A.J. Ellis 2017 · MLB	36	46→51	43→45	45→40	61	.223/.326/.332	.109	.256	11	4	17%	12%	91	+1.1	.237/.327/.366	.129	.277	13	5	19%	10%	99	+1.7	.237/.336/.351	.114	.283	12	0	19%	11%	93	+0.4
●Jolbert Cabrera 2009 · MLB	36	49→51	45→50	48→50	42	.242/.289/.374	.132	.288	10	8	20%	4%	85	+0.7	.255/.295/.388	.133	.305	12	11	20%	4%	90	+1.0	.267/.303/.405	.139	.314	14	9	19%	4%	97	+1.0
✕Jose Offerman 2006 · MLB	37	49→55	43→45	48→50	57	.235/.316/.354	.119	.266	10	6	16%	10%	91	+1.1	.229/.300/.340	.111	.262	11	10	17%	9%	80	+0.4	.236/.309/.341	.105	.267	11	10	16%	10%	84	+0.4
✕Erick Aybar 2019 · MLB	35	48→58	42→50	47→60	51	.233/.296/.340	.107	.263	9	12	16%	7%	79	+0.3	.249/.323/.389	.140	.290	14	9	18%	9%	103	+1.9	.255/.333/.393	.137	.299	12	6	18%	9%	105	+1.5
✕Luis Lopez 2005 · MLB	34	43	44→50	49→40	44	.213/.259/.332	.119	.247	12	7	20%	5%	61	-1.0	.224/.284/.347	.123	.275	11	7	22%	6%	76	+0.0	.216/.275/.317	.100	.277	4	0	22%	5%	59	-0.2
✕Jonathan Aceves 2014 · AAA	36	43	50→55	43→30	44	.224/.275/.376	.153	.269	18	5	25%	6%	80	+0.4	.230/.289/.364	.134	.276	16	4	22%	6%	82	+0.5	.243/.313/.364	.121	.289	14	1	20%	7%	90	+0.5
✕Trinidad Robles 2008 · AAA	35	49	44→40	47→45	46	.241/.294/.360	.119	.288	12	10	21%	6%	83	+0.6	.219/.273/.304	.085	.272	7	7	21%	6%	59	-1.1	.220/.277/.248	.028	.287	0	0	21%	5%	43	-0.9
✕Coco Crisp 2016 · MLB	36	49→59	47→50	52→65	60	.241/.322/.379	.138	.256	15	18	13%	11%	100	+1.7	.223/.296/.362	.139	.249	13	12	16%	9%	85	+0.7	.216/.288/.365	.150	.237	14	12	16%	9%	73	-0.1
✕Jesus Alberto Vega 2019 · AAA	37	44	44→50	48→40	39	.217/.265/.330	.113	.292	12	6	30%	5%	63	-0.8	.209/.257/.341	.132	.303	16	8	35%	5%	63	-0.9	.171/.216/.284	.113	.249	17	3	38%	5%	27	-1.0

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)