Gary Sánchez — OGILVIE

Gary SánchezC Milwaukee Brewers

Age 33 R/R 6'2" / 251 lbs MLB BB +10%HR +7% Svc 9.291 · Ctrl thru 2026 peak 2.0 · 2026

wRC+†vL 110133vR 127

AVG/OBP/SLG.220 / .306 / .432

PA263

HR14

K%26

BB%9

MLB%100%

Scouting · now → future

HIT

45→45

PWR

55→55

SPD

30→30

EYE

54↗55

trajectory · 10 yrs

1.4peak

2026

Contract

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

Status FA

MLB Debut 2016

Service 9.291 yrs.days

Team Control Through 2026

First FA Year 2027

OPT

Year	Status	Salary	Proj WAR	Value	Surplus
2026	Ext / FA-deal	$2M	+2.0	$16M	+$14M
Totals		$2M		$16M	+$14M

Options · projected decision
2027	MUTUAL OPT	$2025.0M / $0.0M buyout	DECLINE
2028	MUTUAL OPT	$2025.0M / $0.0M buyout	DECLINE

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
2010	17	ROK	GCL Yankees	136	124	32	8	0	4	6	40	4	1	1	.258	.313	.419	.733	.161	.341	29	4	.325	107	+1	-0	+0	+2	+4	0.7
2011	18	A	2 teams	365	338	66	13	0	14	21	130	2	2	1	.195	.247	.358	.605	.163	.263	36	6	.264	60	-16	+0	+0	+7	+10	0.0
2012	19	A	3 teams	497	469	107	23	1	15	21	153	5	15	4	.228	.269	.377	.646	.149	.304	31	4	.276	69	-17	+1	+0	+9	+14	0.7
2013	20	A+	3 teams	541	494	107	25	0	14	32	126	9	4	1	.217	.277	.352	.629	.136	.259	23	6	.276	69	-19	+0	+0	+10	+15	0.7
2014	21	AA	Trenton Thunder	477	441	111	17	0	12	31	117	2	1	1	.252	.304	.372	.676	.120	.314	25	6	.296	85	-8	-0	+0	+9	+14	1.4
2015	22	AA	3 teams	498	468	110	24	0	18	22	125	4	11	4	.235	.275	.402	.677	.167	.280	25	4	.292	82	-10	+1	+0	+9	+14	1.4
2016	23	AAA	2 teams	542	491	127	29	1	24	39	111	7	8	1	.259	.322	.468	.791	.210	.285	20	7	.334	114	+8	+1	+6	+10	+15	4.1
2017	24	MLB	New York Yankees	525	471	130	21	0	31	40	120	10	2	1	.276	.345	.518	.864	.242	.306	23	8	.368	140	+24	+0	+9	+9	+15	5.8
2018	25	MLB	2 teams	402	351	64	18	0	20	46	106	3	1	0	.182	.282	.405	.687	.222	.194	26	11	.292	82	-8	+0	+3	+7	+11	1.4
2019	26	MLB	New York Yankees	446	396	92	13	1	33	40	125	9	0	1	.232	.317	.520	.837	.288	.247	28	9	.354	129	+14	-0	+1	+8	+13	3.6
2020	27	MLB	2 teams	240	209	26	4	0	10	24	86	7	0	0	.124	.237	.287	.525	.163	.142	36	10	.241	43	-15	+0	+1	+4	+7	-0.3
2021	28	MLB	New York Yankees	440	383	78	14	1	23	52	121	5	0	0	.204	.307	.426	.732	.222	.230	28	12	.317	100	+0	+0	-1	+8	+12	2.0
2022	29	MLB	Minnesota Twins	471	419	84	24	0	15	40	136	7	2	0	.200	.281	.365	.646	.165	.253	29	8	.285	77	-12	+0	+9	+8	+13	1.9
2023	30	MLB	2 teams	373	327	67	11	0	21	35	103	8	1	0	.205	.297	.431	.728	.226	.223	28	9	.316	100	+0	+0	+6	+7	+11	2.4
2024	31	MLB	2 teams	327	284	62	8	1	11	32	89	7	0	0	.218	.313	.370	.682	.151	.271	27	10	.300	88	-4	+0	+2	+6	+9	1.3
2025	32	MLB	3 teams	235	211	56	4	0	15	11	60	12	0	0	.265	.338	.498	.835	.232	.299	26	5	.354	129	+8	+0	-4	+4	+7	1.5
▸ 2026 Season (actual · ROS · total)
2026	33	MLB	Milwaukee Brewers	69	55	13	2	1	5	13	16	1	0	0	.236	.391	.582	.973	.345	.235	23	19	.414	175	+6	+0	-2	+1	+2	0.7
ROS	33	MLB	MIL	194	167	38	5	1	11	20	50	5	1	0	.228	.328	.467	.795	.240	.246	26	10	.340	118	+4	+0	-0	+3	+5	1.3
TOT	33	MLB	MIL	263	222	51	7	2	16	33	66	6	1	0	.230	.345	.495	.840	.266	.248	25	13	.360	133	+10	+0	-2	+5	+7	2.0
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	34	MLB	MIL	194	168	36	5	1	10	19	45	5	0	0	.214	.312	.435	.747	.220	.230	23	10	.333	113	+3	+0	-5	+3	+5	0.7
▸ Career Totals (MLE all levels + projections)
Career	—			6903	6211	1393	266	7	301	531	1843	111	49	15	.224	.297	.415	.712	.190	.265	27	8	.308	94	-49	+4	+27	+123	+196	30.6
/ 162G	—			650	585	131	25	1	28	50	174	10	5	1	.224	.296	.414	.709	.190	.266	27	8	.308	94	-5	+1	+3	+12	+18	2.9

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
2010	17	ROK	GCL Yankees	136	119	42	11	0	6	11	28	4	1	1	.353	.425	.597	1.022	.244	.414	21	8	.440	195	+15	-0	—	—	+4	1.9
2011	18	A	Charleston RiverDogs	343	301	77	16	1	17	36	93	2	2	1	.256	.339	.485	.824	.229	.308	27	10	.359	133	+13	+0	—	—	+10	2.3
2011	18	INTL	Leones del Escogido	22	20	6	0	0	0	2	9	0	0	0	.300	.364	.300	.664	.000	.545	41	9	.310	96	-0	+0	—	—	+1	0.1
2012	19	A+	Tampa Yankees	185	172	48	10	1	5	10	41	3	4	0	.279	.330	.436	.766	.157	.341	22	5	.341	119	+4	+1	—	—	+5	1.0
2012	19	A	Charleston RiverDogs	289	263	78	19	0	13	22	65	2	11	4	.297	.355	.517	.873	.221	.348	22	8	.380	149	+16	+1	—	—	+8	2.5
2012	19	INTL	Leones del Escogido	23	21	5	1	0	1	2	6	0	0	0	.238	.304	.429	.733	.190	.286	26	9	.325	107	+0	+0	—	—	+1	0.1
2013	20	AA	Trenton Thunder	110	92	23	6	0	2	13	16	4	0	0	.250	.367	.380	.747	.130	.280	15	12	.340	119	+2	+0	—	—	+3	0.6
2013	20	A+	Tampa Yankees	399	362	92	21	0	13	28	71	5	3	1	.254	.316	.420	.736	.166	.280	18	7	.325	107	+3	+0	—	—	+11	1.5
2013	20	INTL	Toros del Este	32	28	5	1	0	0	3	9	0	1	0	.179	.258	.214	.472	.036	.263	28	9	.219	26	-3	+0	—	—	+1	-0.2
2014	21	AA	Trenton Thunder	477	429	116	19	0	13	43	91	2	1	1	.270	.340	.406	.745	.135	.314	19	9	.333	113	+7	-0	—	—	+14	2.1
2015	22	AAA	Scranton/Wilkes-Barre RailRiders	146	132	39	9	0	6	11	28	1	1	2	.295	.354	.500	.854	.205	.330	19	8	.371	142	+7	-1	—	—	+4	1.1
2015	22	AA	Trenton Thunder	254	233	61	14	0	12	18	50	2	6	0	.262	.320	.476	.797	.215	.285	20	7	.349	125	+7	+1	—	—	+7	1.6
2015	22	INTL	Surprise Saguaros	98	88	26	6	1	7	8	19	1	4	2	.295	.361	.625	.986	.330	.302	19	8	.419	179	+9	+0	—	—	+3	1.2
2016	23	MLB	New York Yankees	229	201	60	12	0	20	24	57	2	1	0	.299	.379	.657	1.036	.358	.317	25	10	.439	194	+24	+0	+6	+10	+6	4.8
2016	23	AAA	Scranton/Wilkes-Barre RailRiders	313	284	80	21	1	10	21	45	5	7	1	.282	.342	.468	.810	.187	.302	14	7	.355	130	+11	+1	—	—	+9	2.1
2017	24	MLB	New York Yankees	525	471	131	20	0	33	40	120	10	2	1	.278	.347	.531	.878	.253	.304	23	8	.381	150	+30	+0	+9	+9	+15	6.4
2018	25	MLB	New York Yankees	374	323	60	17	0	18	46	94	3	1	0	.186	.293	.406	.699	.220	.197	25	12	.311	96	-2	+0	+3	+7	+11	2.0
2018	25	AAA	Scranton/Wilkes-Barre RailRiders	28	28	5	0	0	4	0	10	0	0	0	.179	.179	.607	.786	.429	.071	36	0	.330	110	+0	+0	—	—	+1	0.1
2019	26	MLB	New York Yankees	446	396	92	12	1	34	40	125	9	0	1	.232	.317	.525	.842	.293	.244	28	9	.366	138	+19	-0	+1	+8	+13	4.1
2020	27	MLB	New York Yankees	178	156	23	4	0	10	18	64	4	0	0	.147	.253	.365	.618	.218	.159	36	10	.279	71	-6	+0	+1	+4	+5	0.5
2020	27	INTL	Toros del Este	62	53	13	4	0	2	6	19	3	0	0	.245	.355	.434	.789	.189	.344	31	10	.355	130	+2	+0	—	—	+2	0.4
2021	28	MLB	New York Yankees	440	383	78	13	1	23	52	121	5	0	0	.204	.307	.423	.730	.219	.230	28	12	.326	107	+4	+0	-1	+8	+12	2.3
2022	29	MLB	Minnesota Twins	471	419	86	24	0	16	40	136	7	2	0	.205	.285	.377	.662	.172	.257	29	8	.295	84	-9	+0	+9	+8	+13	2.3
2023	30	MLB	San Diego Padres	267	240	52	9	0	19	21	67	4	0	0	.217	.291	.492	.782	.275	.212	25	8	.339	117	+5	+0	+6	+7	+8	2.6
2023	30	AAA	Syracuse Mets	106	81	17	3	0	1	20	29	4	1	0	.210	.390	.284	.674	.074	.308	27	19	.326	108	+1	+0	—	—	+3	0.4
2024	31	MLB	Milwaukee Brewers	280	245	54	7	1	11	27	76	5	0	0	.220	.310	.392	.702	.171	.267	27	10	.313	98	-1	+0	+2	+6	+8	1.5
2024	31	INTL	Leones del Escogido	47	36	5	0	0	4	8	12	2	0	0	.139	.326	.472	.798	.333	.048	26	17	.346	123	+1	+0	—	—	+1	0.3
2025	32	MLB	Baltimore Orioles	101	91	21	2	0	5	4	27	5	0	0	.231	.300	.418	.718	.187	.267	27	4	.318	101	+0	+0	-4	+4	+3	0.4
2025	32	AAA	Norfolk Tides	57	49	18	1	0	6	5	11	3	0	0	.367	.456	.755	1.211	.388	.375	19	9	.516	253	+10	+0	—	—	+2	1.2
2025	32	INTL	Gigantes del Cibao	77	65	15	1	1	3	8	20	4	0	0	.231	.351	.415	.766	.185	.286	26	10	.347	124	+2	+0	—	—	+2	0.4
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			3311	2925	657	120	3	189	312	887	54	6	2	.225	.311	.462	.772	.237	.250	27	9	.339	117	+65	+0	+32	+71	+94	26.9

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
Gary Sánchez (OGILVIE)	33	45	55	30	55	.221/.318/.448	.228	.232	14	1	22%	10%	118	+1.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
●Robinson Chirinos 2017 · MLB	33	43→47	56→60	40→50	49	.230/.307/.427	.197	.263	24	3	23%	8%	107	+2.2	.234/.337/.444	.210	.291	26	4	28%	10%	124	+3.4	.229/.342/.433	.204	.295	26	2	29%	11%	117	+1.9
✕Marcus Thames 2009 · MLB	32	43→46	69→70	38→40	45	.249/.304/.513	.264	.271	39	4	26%	7%	129	+3.7	.248/.309/.448	.200	.294	28	3	26%	8%	113	+2.6	.253/.322/.428	.175	.305	25	0	25%	9%	108	+1.2
●Dan Uggla 2012 · MLB	32	46→54	59→65	41→45	55	.248/.335/.456	.208	.279	28	3	23%	11%	126	+3.5	.216/.324/.396	.180	.267	23	4	27%	13%	106	+2.2	.193/.318/.356	.163	.247	21	3	29%	14%	90	+0.8
✕Jay Bruce 2020 · MLB	33	42→52	62→65	42→50	50	.236/.302/.464	.228	.257	31	3	23%	9%	115	+2.7	.221/.284/.426	.205	.253	27	6	25%	8%	97	+1.5	.192/.247/.431	.239	.197	31	0	23%	7%	74	-0.0
✕Luis Valbuena 2018 · MLB	32	41→51	57→60	39→50	55	.224/.314/.424	.200	.256	26	3	24%	11%	109	+2.4	.221/.291/.388	.167	.290	21	6	30%	9%	90	+1.0	.202/.257/.336	.135	.283	19	6	35%	7%	54	-0.7
✕Todd Hundley 2002 · MLB	33	43	62→65	42→30	53	.241/.326/.469	.229	.276	31	3	26%	11%	125	+3.5	.227/.314/.434	.207	.271	29	4	27%	11%	112	+2.6	.209/.300/.418	.209	.233	32	0	26%	11%	95	+0.7
✕Justin Upton 2021 · MLB	33	45→55	58→65	42→55	50	.239/.326/.439	.200	.293	28	6	28%	10%	118	+3.0	.213/.298/.392	.179	.275	24	6	30%	10%	95	+1.4	.188/.280/.359	.170	.243	24	5	32%	10%	77	+0.0
✕Justin Smoak 2020 · MLB	33	45→52	59→65	39→30	61	.241/.347/.455	.215	.271	27	1	23%	14%	131	+3.9	.224/.320/.406	.182	.275	22	5	26%	11%	107	+2.2	.175/.250/.349	.174	.225	20	0	32%	8%	58	-0.3
★Jeromy Burnitz 2002 · MLB	33	45→52	61→65	39→45	60	.244/.350/.477	.233	.265	29	4	21%	13%	137	+4.3	.242/.327/.459	.217	.271	29	7	22%	10%	124	+3.4	.259/.327/.489	.229	.278	31	5	19%	8%	124	+3.3
●Robin Ventura 2001 · MLB	34	45→48	57→55	39→40	62	.239/.339/.440	.201	.250	25	5	17%	13%	123	+3.3	.241/.352/.432	.191	.262	24	4	18%	15%	126	+3.5	.240/.356/.423	.183	.263	24	2	18%	15%	116	+2.5
✕Ty Wigginton 2009 · MLB	31	53→55	58→60	38→50	49	.276/.336/.485	.208	.299	27	5	18%	7%	134	+4.1	.260/.319/.424	.164	.286	20	4	17%	7%	111	+2.5	.248/.309/.394	.146	.275	17	4	17%	7%	94	+1.1
●Ryan Ludwick 2011 · MLB	33	51→56	57→65	38→45	51	.266/.338/.470	.204	.305	25	4	22%	9%	131	+3.9	.249/.319/.417	.168	.293	20	2	21%	9%	108	+2.3	.243/.314/.406	.163	.284	20	0	22%	9%	98	+1.1
✕Hunter Renfroe 2023 · MLB	31	44→46	62→70	42→45	48	.245/.307/.469	.224	.271	31	3	23%	8%	118	+3.0	.233/.297/.411	.178	.268	22	2	22%	8%	98	+1.6	.220/.288/.375	.155	.255	18	1	21%	8%	81	+0.2
✕Luke Montz 2015 · MLB	32	35→45	60→55	40	43	.207/.273/.415	.208	.251	29	4	32%	8%	90	+1.0	.199/.267/.350	.151	.288	17	7	35%	8%	70	-0.3	.132/.210/.261	.129	.194	13	3	38%	8%	23	-1.1
✕Morgan Ensberg 2008 · MLB	32	47→55	60	36→45	65	.253/.368/.477	.224	.274	28	4	20%	15%	144	+4.8	.217/.304/.364	.147	.265	18	5	24%	11%	89	+1.0	.173/.254/.270	.098	.221	12	2	27%	9%	43	-1.0
✕Greg Norton 2007 · MLB	35	50	56→60	34→40	52	.259/.330/.447	.188	.294	25	3	21%	9%	121	+3.2	.255/.348/.406	.151	.308	17	4	21%	12%	118	+3.0	.242/.355/.357	.116	.301	11	2	21%	15%	102	+0.7
✕Lucas Duda 2018 · MLB	32	42→52	64→65	40→30	54	.235/.332/.483	.248	.269	32	2	26%	11%	131	+3.9	.224/.302/.422	.198	.278	26	3	29%	9%	104	+2.0	.209/.281/.375	.167	.266	22	1	30%	7%	79	+0.1
●Eduardo Rios 2006 · AAA	33	49→51	62→70	41→45	49	.267/.324/.491	.224	.276	31	5	18%	7%	131	+3.9	.276/.319/.502	.226	.285	31	8	16%	5%	132	+4.0	.289/.327/.522	.233	.293	34	8	15%	4%	140	+2.5
✕Tim Beckham 2022 · MLB	32	45→55	57→55	43→50	41	.237/.287/.435	.198	.298	25	6	30%	6%	101	+1.8	.263/.314/.413	.150	.344	19	9	28%	6%	105	+2.1	.320/.370/.437	.117	.434	16	6	28%	6%	128	+1.0
●Casey Blake 2006 · MLB	32	49→56	55→60	37→45	50	.254/.323/.443	.190	.284	22	6	20%	8%	118	+3.0	.265/.337/.451	.186	.305	21	6	20%	9%	125	+3.5	.270/.347/.448	.177	.316	19	3	20%	9%	120	+3.2

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)