Miguel Sanó — OGILVIE

Miguel Sanó3B Estrellas Orientales

Age 33 R/R 6'4" / 272 lbs INTL HR -5% Svc 11.000 · Ctrl thru 2026 peak 0.7 · 2026

wRC+†vL 10293vR 61

AVG/OBP/SLG.217 / .308 / .367

PA255

HR8

K%33

BB%10

MLB%0%

Scouting · now → future

PWR

72→72

SPD

38→38

EYE

57→57

trajectory · 10 yrs

0.5peak

2026

Contract

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

Status FA

MLB Debut 2015

Service 11.000 yrs.days

Team Control Through 2026

First FA Year 2027

Year	Status	Salary	Proj WAR	Value	Surplus
2026	Ext / FA-deal	$4M	+0.7	$3M	-$0.8M
Totals		$4M		$3M	-$0.8M

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 Twins	241	223	45	10	1	5	13	87	2	4	3	.202	.252	.323	.575	.121	.301	36	5	.253	52	-13	-0	+0	+1	+7	-0.6
2011	18	ROK	Elizabethton Twins	294	276	53	11	4	14	15	109	2	5	4	.192	.239	.413	.652	.221	.253	37	5	.280	72	-9	-1	+0	+1	+8	-0.0
2012	19	A	2 teams	612	530	108	23	3	23	64	200	9	9	3	.204	.300	.389	.689	.185	.269	33	10	.302	89	-7	+1	+0	+2	+17	1.3
2013	20	AA	2 teams	519	460	103	24	5	31	44	190	10	11	3	.224	.305	.500	.805	.276	.295	37	8	.341	119	+11	+1	+0	+2	+15	2.9
2015	22	MLB	3 teams	685	589	145	36	2	32	84	230	5	6	2	.246	.345	.477	.822	.231	.338	34	12	.353	129	+22	+0	+1	+2	+19	4.6
2016	23	MLB	2 teams	525	464	107	22	1	28	57	190	1	1	0	.231	.316	.463	.779	.233	.317	36	11	.341	119	+12	+0	-10	+2	+15	1.9
2017	24	MLB	Minnesota Twins	483	424	109	15	1	26	54	173	4	0	0	.257	.346	.481	.828	.224	.367	36	11	.349	125	+14	+0	-1	+2	+14	2.8
2018	25	MLB	3 teams	412	365	75	17	0	14	45	154	0	0	0	.205	.293	.367	.660	.162	.307	37	11	.291	81	-9	+0	-2	+1	+12	0.2
2019	26	MLB	2 teams	462	400	98	19	2	36	56	168	3	0	1	.245	.342	.573	.915	.328	.312	36	12	.389	156	+29	-0	-5	+2	+13	3.9
2020	27	MLB	Minnesota Twins	205	186	37	10	0	14	18	90	1	0	0	.199	.273	.478	.752	.280	.280	44	9	.318	102	+0	+0	-3	-4	+6	-0.0
2021	28	MLB	Minnesota Twins	532	470	107	25	0	32	59	183	2	2	1	.228	.316	.485	.801	.257	.293	34	11	.341	119	+12	+0	-10	-10	+15	0.7
2022	29	MLB	3 teams	116	101	14	2	0	4	13	40	1	2	0	.139	.243	.277	.521	.139	.172	34	11	.248	48	-7	+0	-2	-2	+3	-0.8
2023	30	INTL	Estrellas Orientales	107	89	20	10	0	2	14	30	3	0	0	.225	.349	.404	.754	.180	.310	28	13	—	—	—	—	+0	+0	—	—
2024	31	MLB	4 teams	234	208	42	6	0	5	19	91	4	0	0	.202	.281	.303	.584	.101	.322	39	8	.271	66	-9	+0	+0	+1	+7	-0.2
2025	32	INTL	Estrellas Orientales	101	89	28	4	0	9	9	22	1	0	0	.315	.384	.663	1.047	.348	.317	22	9	—	—	—	—	+0	+0	—	—
▸ 2026 Season
2026	33	MLB	LAA	255	223	49	9	1	8	25	83	5	3	1	.220	.312	.377	.689	.157	.306	33	10	.307	93	-2	+0	+0	+1	+7	0.7
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	34	MLB 7%	LAA	213	186	40	7	1	6	21	71	4	2	1	.215	.308	.360	.668	.145	.304	33	10	.300	88	-3	+0	-5	+1	+6	-0.1
2028	35	MLB 18%	LAA	162	142	28	5	0	4	16	56	3	1	0	.197	.292	.317	.609	.120	.302	35	10	.292	82	-3	+0	-6	+1	+5	-0.4
▸ Career Totals (MLE all levels + projections)
Career	—			6158	5425	1208	255	21	293	626	2167	60	46	19	.223	.310	.439	.749	.217	.304	35	10	.312	97	-20	+2	-42	+4	+174	12.1
/ 162G	—			650	573	127	27	2	31	66	229	6	5	2	.222	.309	.438	.747	.216	.302	35	10	.312	97	-2	+0	-4	+0	+18	1.3

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 Twins	241	212	65	16	1	7	24	60	2	4	3	.307	.382	.491	.873	.184	.395	25	10	.382	150	+14	-0	—	—	+7	2.1
2011	18	ROK	Elizabethton Twins	294	267	78	18	7	20	23	77	2	5	4	.292	.352	.637	.988	.345	.339	26	8	.420	179	+26	-1	—	—	+8	3.5
2012	19	A	Beloit Snappers	553	457	118	28	4	28	80	144	8	8	3	.258	.378	.521	.899	.263	.307	26	14	.389	155	+35	+0	—	—	+16	5.2
2012	19	INTL	Estrellas de Oriente	59	49	13	3	0	4	8	17	1	1	0	.265	.379	.571	.951	.306	.310	29	14	.405	168	+5	+0	—	—	+2	0.7
2013	20	AA	New Britain Rock Cats	276	233	55	15	3	19	36	81	4	2	1	.236	.348	.571	.919	.335	.265	29	13	.391	158	+18	+0	—	—	+8	2.6
2013	20	A+	Fort Myers Miracle	243	206	68	15	2	16	29	61	6	9	2	.330	.427	.655	1.083	.325	.397	25	12	.461	211	+31	+1	—	—	+7	3.9
2015	22	MLB	Minnesota Twins	335	279	75	17	1	18	53	119	1	1	1	.269	.387	.530	.918	.262	.396	36	16	.400	164	+24	-0	+1	+2	+9	3.8
2015	22	AA	Chattanooga Lookouts	286	241	66	18	1	15	38	68	3	5	1	.274	.379	.544	.923	.270	.315	24	13	.397	162	+20	+1	—	—	+8	2.9
2015	22	INTL	Estrellas de Oriente	64	54	13	4	0	2	8	15	1	0	0	.241	.349	.426	.775	.185	.289	23	12	.343	121	+1	+0	—	—	+2	0.3
2016	23	MLB	Minnesota Twins	495	437	103	22	1	25	54	178	1	1	0	.236	.321	.462	.783	.227	.329	36	11	.344	121	+12	+0	-10	+2	+14	1.9
2016	23	AAA	Rochester Red Wings	30	25	4	1	0	2	5	10	0	0	0	.160	.300	.440	.740	.280	.154	33	17	.328	109	+0	+0	—	—	+1	0.1
2017	24	MLB	Minnesota Twins	483	424	112	15	2	28	54	173	4	0	0	.264	.353	.507	.860	.243	.375	36	11	.377	147	+25	+0	-1	+2	+14	4.0
2018	25	MLB	Minnesota Twins	299	266	53	14	0	13	31	115	0	0	0	.199	.283	.398	.681	.199	.286	38	10	.302	89	-4	+0	-2	+1	+8	0.4
2018	25	AAA	Rochester Red Wings	36	30	8	1	0	2	6	8	0	0	0	.267	.389	.500	.889	.233	.300	22	17	.393	159	+2	+0	—	—	+1	0.3
2018	25	A+	Fort Myers Miracle	77	64	21	2	0	2	13	21	0	0	0	.328	.442	.453	.895	.125	.463	27	17	.405	168	+6	+0	—	—	+2	0.8
2019	26	MLB	Minnesota Twins	439	380	94	19	2	34	55	159	3	0	1	.247	.347	.576	.923	.329	.319	36	13	.397	162	+31	-0	-5	+2	+12	4.0
2019	26	AA	Pensacola Blue Wahoos	23	20	4	2	0	1	1	7	0	0	0	.200	.238	.450	.688	.250	.214	30	4	.272	66	-1	+0	—	—	+1	-0.0
2020	27	MLB	Minnesota Twins	205	186	38	12	0	13	18	90	1	0	0	.204	.278	.478	.757	.274	.301	44	9	.329	110	+2	+0	-3	-4	+6	0.2
2021	28	MLB	Minnesota Twins	532	470	105	24	0	30	59	183	2	2	1	.223	.313	.466	.779	.243	.291	34	11	.342	120	+12	+0	-10	-10	+15	0.8
2022	29	MLB	Minnesota Twins	71	60	5	0	0	1	9	25	1	1	0	.083	.214	.133	.348	.050	.114	35	13	.179	-5	-8	+0	-2	-2	+2	-1.1
2022	29	AAA	St. Paul Saints	26	23	8	2	0	3	3	10	0	0	0	.348	.423	.826	1.249	.478	.500	38	12	.524	259	+5	+0	—	—	+1	0.6
2022	29	ROK	FCL Twins	19	16	5	1	0	2	3	2	0	1	0	.312	.421	.750	1.171	.438	.250	11	16	.492	235	+3	+0	—	—	+1	0.4
2023	30	INTL	Estrellas Orientales	107	89	20	10	0	2	14	30	3	0	0	.225	.349	.404	.754	.180	.310	28	13	.338	117	+2	+0	—	—	+3	0.5
2024	31	MLB	Los Angeles Angels	95	83	17	3	0	2	9	36	2	0	0	.205	.298	.313	.611	.108	.326	38	9	.280	73	-3	+0	+0	+1	+3	0.1
2024	31	AAA	Salt Lake Bees	40	37	10	1	0	2	2	13	1	0	0	.270	.325	.459	.784	.189	.364	32	5	.348	124	+1	+0	—	—	+1	0.2
2024	31	ROK	ACL Angels	20	16	5	1	0	0	3	5	1	0	0	.312	.450	.375	.825	.062	.455	25	15	.387	154	+1	+0	—	—	+1	0.2
2024	31	INTL	Estrellas Orientales	79	68	18	2	0	5	9	20	0	0	0	.265	.351	.515	.865	.250	.289	25	11	.370	141	+4	+0	—	—	+2	0.6
2025	32	INTL	Estrellas Orientales	101	89	28	4	0	9	9	22	1	0	0	.315	.384	.663	1.047	.348	.317	22	9	.440	195	+11	+0	—	—	+3	1.4
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			2954	2585	602	126	6	164	342	1078	15	5	3	.233	.326	.477	.803	.244	.323	36	12	.352	127	+91	-0	-32	-5	+84	14.1

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
Miguel Sanó (OGILVIE)	33	—	72	38	57	.217/.308/.367	.150	.306	8	3	33%	10%	93	+0.5	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Valentino Pascucci 2012 · AAA	33	42→45	52→55	44→45	47	.218/.295/.386	.167	.296	20	3	32%	9%	91	+1.1	.212/.300/.378	.166	.309	21	3	36%	11%	92	+1.2	.191/.294/.354	.163	.276	23	0	37%	12%	81	+0.3
✕Anthony Recker 2017 · MLB	33	42→48	50	48→45	47	.214/.292/.365	.151	.283	18	5	30%	9%	85	+0.7	.212/.279/.357	.145	.289	16	5	31%	7%	77	+0.1	.194/.255/.340	.146	.266	16	1	32%	6%	59	-0.5
✕Jarrod Saltalamacchia 2017 · MLB	32	40→50	53→60	43→40	51	.207/.303/.376	.169	.285	21	2	33%	12%	92	+1.2	.177/.259/.302	.125	.282	15	4	39%	10%	55	-1.4	.125/.203/.198	.073	.218	8	1	43%	9%	1	-1.7
✕Mario Lisson 2017 · AAA	33	47→49	49→55	44→55	45	.235/.304/.377	.142	.308	17	8	28%	8%	92	+1.2	.216/.280/.353	.137	.286	16	9	29%	8%	76	+0.1	.172/.233/.307	.135	.211	17	6	27%	7%	41	-0.9
✕Shelley Duncan 2013 · MLB	33	42→43	54→60	40→45	51	.223/.301/.401	.178	.257	23	4	24%	9%	98	+1.6	.197/.264/.333	.136	.240	16	4	25%	8%	64	-0.8	.164/.225/.275	.111	.202	12	0	26%	7%	30	-2.3
✕Mike Wilson 2015 · AAA	32	42→52	51→60	40→50	41	.219/.278/.376	.158	.298	20	7	33%	7%	81	+0.4	.226/.288/.379	.153	.314	19	9	33%	7%	86	+0.8	.197/.280/.328	.131	.272	19	5	33%	7%	69	-0.1
✕Carlos M. Rodriguez 2015 · AAA	33	42→44	53→55	45→40	39	.218/.280/.384	.166	.304	23	4	35%	7%	84	+0.6	.215/.269/.332	.117	.307	13	4	33%	6%	66	-0.6	.217/.266/.330	.113	.309	12	1	32%	5%	61	-0.6
✕Cody Ransom 2009 · MLB	33	39→41	54→55	48→50	44	.212/.276/.389	.177	.262	22	11	29%	7%	84	+0.6	.219/.281/.393	.174	.279	20	10	28%	7%	87	+0.8	.217/.285/.398	.181	.290	23	7	32%	8%	87	+0.6
✕Donnie Murphy 2015 · MLB	32	39→41	52→60	45	41	.209/.273/.376	.166	.260	21	6	28%	6%	79	+0.3	.210/.275/.332	.122	.267	13	6	26%	7%	69	-0.4	.196/.269/.273	.077	.249	7	0	23%	7%	49	-0.5
✕Taylor Motter 2022 · MLB	32	43→49	55→60	47→55	50	.226/.304/.410	.184	.274	23	5	26%	10%	101	+1.8	.224/.295/.408	.184	.278	24	7	28%	9%	97	+1.5	.202/.273/.371	.169	.252	23	8	29%	9%	76	+0.0
●Mark Reynolds 2017 · MLB	33	48→57	53→65	41→50	51	.245/.324/.420	.175	.307	21	5	27%	10%	111	+2.5	.248/.331/.431	.183	.323	24	4	29%	11%	118	+3.0	.232/.323/.418	.185	.302	25	2	30%	11%	106	+1.2
✕John Buck 2014 · MLB	34	42→52	51→55	43→30	51	.219/.300/.370	.151	.258	20	3	24%	9%	89	+1.0	.232/.300/.359	.127	.289	15	5	24%	8%	85	+0.7	.238/.300/.312	.074	.311	6	0	24%	7%	70	-0.1
✕Scott Seabol 2007 · MLB	32	44→45	53→60	39→40	45	.232/.286/.406	.174	.275	20	3	24%	7%	92	+1.2	.241/.294/.435	.194	.277	24	6	22%	7%	103	+1.9	.239/.293/.445	.205	.266	26	5	21%	7%	105	+2.0
✕Michael McKenry 2017 · MLB	32	46	49→55	43→40	54	.230/.323/.384	.154	.295	16	7	26%	11%	102	+1.9	.203/.293/.322	.119	.285	11	6	30%	10%	74	-0.1	.166/.262/.253	.087	.241	7	0	31%	10%	42	-1.0
●Greg Norton 2005 · MLB	33	46	50→60	43→40	52	.234/.312/.393	.159	.284	18	7	24%	10%	99	+1.7	.254/.328/.429	.175	.297	22	3	21%	10%	115	+2.8	.270/.367/.437	.168	.321	20	2	21%	13%	126	+1.7
✕John Hicks 2021 · MLB	31	44→51	52→60	43→50	40	.232/.276/.395	.163	.297	22	4	30%	6%	85	+0.7	.225/.266/.407	.182	.302	24	12	33%	5%	85	+0.7	.210/.252/.382	.172	.283	22	16	34%	5%	69	-0.2
✕George Kottaras 2016 · MLB	33	43→53	53→55	47→30	48	.216/.305/.383	.167	.317	23	5	37%	11%	95	+1.4	.210/.286/.338	.128	.305	15	7	34%	9%	74	-0.1	.147/.240/.207	.061	.218	7	0	33%	11%	19	-0.8
✕Brooks Conrad 2014 · MLB	34	44	57→55	41→50	44	.231/.298/.426	.195	.311	25	6	33%	9%	102	+1.9	.204/.263/.359	.155	.269	19	4	31%	7%	70	-0.3	.178/.239/.316	.138	.231	17	1	31%	6%	48	-1.0
✕Miguel Olivo 2012 · MLB	34	45→52	53→60	46→50	39	.238/.279/.410	.172	.297	22	9	28%	5%	90	+1.0	.239/.272/.410	.171	.298	23	7	28%	4%	88	+0.9	.247/.281/.410	.163	.321	20	9	29%	4%	87	+0.5
✕Patrick Kivlehan 2021 · AAA	31	42→52	57→60	44→50	40	.224/.282/.420	.196	.288	25	5	31%	6%	95	+1.4	.210/.261/.373	.163	.292	21	8	35%	6%	73	-0.1	.182/.228/.327	.145	.254	21	6	37%	5%	44	-1.3

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)