Jorge Polanco — OGILVIE

Jorge Polanco2B New York Mets

INJURED · Injured 10-Day (D10)

Age 33 S/R 6'0" / 208 lbs MLB H +5%HR +3% Svc 9.140 · Ctrl thru 2027 peak 1.4 · 2027

wRC+†vL 8591vR 75

AVG/OBP/SLG.255 / .325 / .453

PA200

HR9

K%20

BB%9

MLB%100%

Scouting · now → future

HIT

50→50

PWR

50→50

SPD

50→50

EYE

52↗55

trajectory · 10 yrs

1.4peak

2027

Contract

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

Status FA

MLB Debut 2016

Service 9.140 yrs.days

Team Control Through 2027

First FA Year 2028

OPT

Year	Status	Salary	Proj WAR	Value	Surplus
2026	Ext / FA-deal	$20M	+0.4	$2M	-$18M
2027	Ext / FA-deal	$20M	+1.4	$12M	-$8M
Totals		$40M		$13M	-$27M

Options · projected decision
2028	MUTUAL OPT	$2026.0M / $0.0M buyout	DECLINE
2029	MUTUAL OPT	$8.0M / $0.0M buyout	DECLINE
2030	PLAYER OPT	$8.0M / $0.0M buyout	EXERCISE
2031	CLUB OPT	$25.0M / $0.0M buyout	DECLINE
2032	CLUB OPT	$10.5M / $1.0M buyout	DECLINE
2033	CLUB OPT	$12.0M / $1.0M 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 Twins	187	170	32	5	0	1	11	26	0	3	7	.188	.238	.235	.473	.047	.211	14	6	.209	18	-17	-2	+0	+2	+5	-1.2
2011	18	ROK	GCL Twins	193	178	34	6	2	1	9	35	3	6	4	.191	.242	.264	.506	.073	.231	18	5	.219	26	-16	-0	+0	+2	+5	-0.9
2012	19	ROK	Elizabethton Twins	204	180	43	11	1	4	13	37	3	6	3	.239	.301	.378	.679	.139	.271	18	6	.295	84	-4	+0	+0	+2	+6	0.4
2013	20	A	2 teams	731	671	191	38	12	5	37	110	3	8	6	.285	.325	.399	.724	.115	.326	15	5	.312	97	-3	-1	+0	+8	+21	2.6
2014	21	A+	3 teams	691	635	158	24	6	7	45	142	2	20	11	.249	.301	.339	.639	.090	.307	21	7	.281	74	-21	-0	+0	+7	+20	0.6
2015	22	AA	3 teams	676	636	162	26	3	6	32	122	0	19	12	.255	.290	.333	.624	.079	.303	18	5	.273	67	-25	-1	-0	+7	+19	-0.0
2016	23	AAA	3 teams	698	641	164	29	11	14	41	125	4	11	7	.256	.305	.401	.706	.145	.294	18	6	.308	94	-5	-1	-3	+7	+20	1.9
2017	24	MLB	Minnesota Twins	544	488	123	30	1	12	41	78	2	13	5	.252	.313	.391	.704	.139	.275	14	8	.300	88	-8	+1	+3	+6	+15	1.8
2018	25	MLB	2 teams	348	316	89	19	2	5	26	64	2	7	7	.282	.340	.402	.742	.120	.339	18	7	.325	107	+3	-1	-1	+4	+10	1.4
2019	26	MLB	Minnesota Twins	704	631	188	36	8	23	60	116	4	4	3	.298	.363	.490	.852	.192	.331	16	9	.363	136	+29	-0	-13	+8	+20	4.4
2020	27	MLB	Minnesota Twins	226	209	53	7	0	4	13	35	1	4	2	.254	.300	.344	.645	.091	.287	15	6	.284	76	-6	+0	+2	+2	+6	0.4
2021	28	MLB	Minnesota Twins	644	588	161	37	2	35	45	118	5	11	6	.274	.331	.522	.853	.248	.286	18	7	.361	135	+25	-0	-2	+2	+18	4.4
2022	29	MLB	Minnesota Twins	445	375	86	16	0	15	64	95	2	3	3	.229	.345	.392	.737	.163	.264	21	14	.327	108	+4	-1	-6	+2	+13	1.2
2023	30	MLB	3 teams	403	355	91	19	0	16	41	109	3	4	0	.256	.338	.445	.783	.189	.321	27	10	.345	122	+10	+1	-3	+1	+11	2.1
2024	31	MLB	2 teams	488	433	94	12	0	18	49	142	4	4	2	.217	.302	.370	.672	.152	.276	29	10	.293	83	-10	+0	-7	+2	+14	-0.1
2025	32	MLB	Seattle Mariners	524	471	126	30	0	25	42	82	3	6	3	.268	.331	.490	.822	.223	.274	16	8	.349	125	+15	+0	-3	+2	+15	2.9
▸ 2026 Season (actual · ROS · total)
2026	33	MLB	New York Mets	61	56	10	3	0	1	5	11	0	0	0	.179	.246	.286	.532	.107	.205	18	8	.241	42	-4	+0	-0	-1	+2	-0.4
ROS	33	MLB	NYM	139	125	32	7	0	6	12	28	1	1	0	.256	.326	.456	.782	.200	.273	20	9	.332	113	+2	+0	-0	+1	+4	0.8
TOT	33	MLB	NYM	200	181	42	10	0	7	17	39	1	1	0	.232	.302	.403	.705	.171	.257	20	8	.305	91	-2	+0	-0	+0	+6	0.4
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	34	MLB	NYM	398	359	86	18	0	16	34	74	2	3	1	.240	.309	.423	.732	.184	.261	19	9	.325	107	+3	+0	-5	+4	+11	1.4
2028	35	MLB	NYM	344	310	73	15	0	13	29	67	2	2	0	.235	.305	.410	.715	.174	.258	19	8	.316	100	+0	+0	-6	+4	+10	0.8
2029	36	MLB	NYM	285	258	58	12	0	10	24	59	1	1	0	.225	.293	.388	.681	.163	.255	21	8	.306	92	-2	+0	-6	+3	+8	0.3
2030	37	MLB	NYM	222	201	44	9	0	7	18	48	1	1	0	.219	.286	.368	.655	.149	.250	22	8	.295	84	-4	+0	-7	+2	+6	-0.2
2031	38	MLB	NYM	154	140	30	6	0	5	12	34	1	0	0	.214	.281	.364	.645	.150	.245	22	8	.283	74	-4	+0	-8	+2	+4	-0.6
▸ Career Totals (MLE all levels + projections)
Career	—			9248	8370	2118	412	48	248	698	1746	49	137	82	.253	.314	.403	.717	.150	.289	19	8	.312	97	-34	-5	-66	+81	+262	24.3
/ 162G	—			650	588	148	29	3	17	49	123	3	10	6	.252	.312	.398	.710	.146	.289	19	8	.312	97	-2	-0	-5	+6	+18	1.7

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	187	163	38	7	0	1	18	18	0	3	7	.233	.309	.294	.604	.061	.250	10	10	.272	66	-7	-2	—	—	+5	-0.4
2011	18	ROK	GCL Twins	193	172	43	8	3	1	15	24	3	6	4	.250	.321	.349	.670	.099	.284	12	8	.300	88	-3	-0	—	—	+5	0.2
2012	19	ROK	Elizabethton Twins	204	173	55	15	2	5	20	26	3	6	3	.318	.398	.514	.912	.197	.340	13	10	.387	154	+12	+0	—	—	+6	1.9
2013	20	A	Cedar Rapids Kernels	523	465	143	32	10	5	42	59	3	4	4	.308	.369	.452	.820	.144	.336	11	8	.356	130	+18	-1	—	—	+15	3.3
2013	20	INTL	Leones del Escogido	208	180	53	9	2	1	21	29	0	4	2	.294	.368	.383	.751	.089	.338	14	10	.330	111	+3	+0	—	—	+6	0.9
2014	21	AA	New Britain Rock Cats	157	146	41	6	0	1	9	28	0	7	3	.281	.323	.342	.665	.062	.342	18	6	.298	86	-2	+0	—	—	+4	0.2
2014	21	A+	Fort Myers Miracle	432	378	110	17	6	6	46	60	1	10	8	.291	.369	.415	.785	.124	.327	14	11	.348	124	+12	-1	—	—	+12	2.3
2014	21	INTL	Leones del Escogido	102	89	29	4	3	1	12	15	1	3	0	.326	.412	.472	.884	.146	.384	15	12	.394	160	+7	+1	—	—	+3	1.1
2015	22	AAA	Rochester Red Wings	94	88	25	6	0	0	4	10	0	1	0	.284	.315	.352	.667	.068	.312	11	4	.295	84	-2	+0	—	—	+3	0.1
2015	22	AA	Chattanooga Lookouts	431	394	114	17	3	6	35	63	0	18	10	.289	.347	.393	.741	.104	.330	15	8	.332	112	+6	-0	—	—	+12	1.8
2015	22	INTL	Leones del Escogido	151	129	30	1	3	1	18	31	0	0	2	.233	.327	.310	.637	.078	.290	21	12	.287	78	-4	-1	—	—	+4	-0.0
2016	23	MLB	Minnesota Twins	270	245	69	15	4	4	17	46	3	4	3	.282	.336	.424	.760	.143	.328	17	6	.332	113	+4	-0	-3	+7	+8	1.6
2016	23	AAA	Rochester Red Wings	325	293	81	14	6	9	27	51	1	5	4	.276	.340	.457	.797	.181	.304	16	8	.348	124	+9	-1	—	—	+9	1.8
2016	23	INTL	Leones del Escogido	103	89	21	1	2	1	11	19	0	2	0	.236	.320	.326	.646	.090	.286	18	11	.288	79	-3	+0	—	—	+3	0.1
2017	24	MLB	Minnesota Twins	544	488	125	30	3	13	41	78	2	13	5	.256	.316	.410	.726	.154	.278	14	8	.316	100	+0	+1	+3	+6	+15	2.6
2018	25	MLB	Minnesota Twins	333	302	87	18	3	6	25	62	2	7	7	.288	.347	.427	.774	.139	.345	19	8	.341	119	+7	-1	-1	+4	+9	1.8
2018	25	AAA	Rochester Red Wings	15	13	6	0	1	0	2	2	0	0	0	.462	.533	.615	1.149	.154	.545	13	13	.502	243	+2	+0	—	—	+0	0.3
2019	26	MLB	Minnesota Twins	704	631	186	40	7	22	60	116	4	4	3	.295	.360	.485	.845	.190	.328	16	9	.368	140	+32	-0	-13	+8	+20	4.7
2020	27	MLB	Minnesota Twins	226	209	54	8	0	4	13	35	1	4	2	.258	.305	.354	.659	.096	.292	15	6	.294	83	-4	+0	+2	+2	+6	0.6
2021	28	MLB	Minnesota Twins	644	588	158	35	2	33	45	118	5	11	6	.269	.326	.503	.829	.235	.282	18	7	.360	133	+24	-0	-2	+2	+18	4.3
2022	29	MLB	Minnesota Twins	445	375	88	16	0	16	64	95	2	3	3	.235	.349	.405	.755	.171	.269	21	14	.339	117	+9	-1	-6	+2	+13	1.7
2023	30	MLB	Minnesota Twins	343	302	77	18	0	14	36	88	2	4	0	.255	.338	.454	.792	.199	.310	26	10	.349	125	+10	+1	-3	+1	+10	1.9
2023	30	AAA	St. Paul Saints	38	32	9	1	0	1	5	10	1	0	0	.281	.395	.406	.801	.125	.381	26	13	.366	139	+2	+0	—	—	+1	0.3
2023	30	A	Fort Myers Mighty Mussels	22	18	5	1	0	0	3	6	0	0	0	.278	.381	.333	.714	.056	.385	27	14	.318	102	+0	+0	—	—	+1	0.1
2024	31	MLB	Seattle Mariners	469	417	89	11	0	16	46	137	4	4	2	.213	.298	.355	.653	.141	.274	29	10	.295	84	-8	+0	-7	+2	+13	-0.1
2024	31	AAA	Tacoma Rainiers	19	15	5	1	0	3	4	4	0	0	0	.333	.474	1.000	1.474	.667	.250	21	21	.591	310	+5	+0	—	—	+1	0.5
2025	32	MLB	Seattle Mariners	524	471	125	30	0	26	42	82	3	6	3	.265	.329	.495	.824	.229	.269	16	8	.356	131	+18	+0	-3	+2	+15	3.3
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			4502	4028	1058	221	19	154	389	857	28	60	34	.263	.332	.442	.773	.179	.296	19	9	.339	118	+91	-2	-34	+36	+128	22.3

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
Jorge Polanco (OGILVIE)	33	50	50	50	55	.245/.315/.434	.188	.263	8	2	18%	9%	113	+0.9	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Eduardo Escobar 2022 · MLB	33	48→56	58→60	51→50	49	.254/.311/.458	.204	.277	26	4	20%	8%	116	+2.8	.246/.301/.422	.176	.294	21	3	23%	7%	102	+1.9	.241/.293/.405	.164	.294	19	1	24%	7%	90	+0.7
✕Didi Gregorius 2022 · MLB	32	46→55	53→60	47→50	48	.237/.293/.408	.171	.246	21	6	15%	6%	95	+1.4	.215/.277/.344	.129	.238	13	6	16%	6%	72	-0.2	.186/.248/.281	.095	.212	6	3	15%	5%	41	-0.7
✕Alex Dickerson 2022 · MLB	32	49→54	56→55	48→45	48	.255/.326/.453	.198	.293	24	4	22%	8%	121	+3.2	.222/.282/.386	.164	.268	20	5	25%	7%	85	+0.7	.196/.249/.341	.145	.238	17	1	25%	6%	56	-0.8
✕Neil Walker 2019 · MLB	33	50→57	51→55	42→45	56	.252/.335/.412	.160	.286	19	3	19%	10%	114	+2.7	.248/.327/.385	.137	.302	14	5	21%	10%	104	+2.0	.261/.344/.390	.129	.317	12	5	20%	11%	104	+1.3
✕José Cruz Jr. 2007 · MLB	33	48→51	53→65	47→50	62	.242/.345/.428	.186	.280	19	8	20%	14%	121	+3.2	.230/.320/.368	.138	.280	13	11	21%	12%	96	+1.5	.229/.305/.356	.128	.282	11	14	22%	10%	84	+0.4
✕Ryan Doumit 2014 · MLB	33	51→61	51→55	45	50	.258/.316/.423	.165	.290	18	2	18%	7%	109	+2.4	.235/.292/.385	.150	.285	18	6	23%	7%	89	+1.0	.194/.233/.312	.118	.248	18	4	30%	4%	39	-0.7
✕Dexter Fowler 2020 · MLB	34	46→56	54→55	46→55	57	.236/.336/.420	.184	.279	21	9	23%	12%	117	+2.9	.243/.329/.405	.162	.303	20	10	25%	11%	110	+2.4	.239/.322/.399	.159	.302	24	6	28%	10%	102	+0.3
✕Jason Kipnis 2020 · MLB	33	44→54	51→55	48→55	51	.229/.298/.391	.162	.254	19	8	19%	8%	93	+1.3	.238/.315/.403	.165	.289	19	7	23%	9%	104	+2.0	.236/.327/.409	.173	.310	19	3	28%	10%	106	+0.6
✕Tommy La Stella 2022 · MLB	33	52→55	52→55	48→50	57	.261/.328/.426	.165	.260	19	3	10%	9%	115	+2.7	.240/.306/.373	.133	.268	13	4	15%	8%	92	+1.2	.239/.300/.353	.114	.275	9	0	16%	7%	80	+0.1
●Asdrúbal Cabrera 2019 · MLB	33	54→63	53→55	45→50	50	.273/.333/.453	.179	.307	20	4	18%	8%	124	+3.4	.252/.325/.420	.168	.293	19	4	20%	9%	111	+2.5	.237/.320/.394	.157	.278	17	3	21%	10%	98	+0.9
✕Vernon Wells 2012 · MLB	33	47→57	56→60	48→50	49	.247/.294/.439	.193	.252	23	10	14%	6%	105	+2.1	.235/.283/.404	.169	.246	22	10	16%	6%	90	+1.0	.229/.279/.366	.137	.243	19	10	15%	6%	76	+0.0
✕Mike Moustakas 2022 · MLB	33	43→53	59→65	49→45	53	.236/.313/.447	.211	.250	27	4	19%	9%	115	+2.7	.229/.298/.372	.143	.283	17	4	24%	8%	89	+0.9	.231/.295/.359	.128	.290	16	2	25%	7%	79	+0.2
✕Zack Cozart 2019 · MLB	33	51→56	53→60	51→50	55	.259/.334/.443	.184	.281	20	4	16%	9%	121	+3.2	.220/.292/.350	.130	.249	13	6	17%	8%	81	+0.4	.121/.178/.140	.019	.144	0	0	15%	5%	-25	-1.2
●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
✕Fernando Tatis 2009 · MLB	34	48→54	52→55	47→45	49	.248/.314/.415	.168	.287	19	7	21%	8%	106	+2.2	.253/.316/.417	.164	.290	17	7	19%	7%	107	+2.2	.276/.335/.428	.152	.308	13	6	14%	6%	111	+1.6
✕Scott Hairston 2013 · MLB	33	46→51	58→60	50	46	.247/.302/.457	.210	.273	26	11	21%	7%	113	+2.6	.232/.284/.439	.207	.265	27	9	24%	6%	100	+1.7	.184/.235/.422	.238	.174	39	7	25%	5%	77	+0.0
✕Abraham Almonte 2023 · MLB	34	49→53	54→55	46→55	56	.252/.343/.435	.183	.306	22	10	25%	12%	123	+3.3	.227/.312/.406	.179	.295	24	9	30%	11%	103	+1.9	.169/.269/.341	.172	.206	28	6	34%	12%	68	-0.2
✕John Mabry 2004 · MLB	33	47	54→60	46→30	51	.243/.317/.425	.181	.273	22	5	20%	8%	110	+2.4	.252/.321/.428	.176	.297	21	3	22%	9%	112	+2.6	.242/.310/.404	.162	.290	20	0	23%	9%	96	+0.6
✕Chris Young 2017 · MLB	33	47→49	53→60	46→55	50	.242/.313/.419	.177	.280	20	10	21%	8%	107	+2.2	.233/.312/.408	.175	.275	20	9	23%	9%	104	+2.0	.211/.298/.383	.172	.243	21	7	23%	10%	90	+0.4
✕Brian Burgamy 2015 · AAA	34	48→49	57→55	46→50	50	.254/.324/.448	.194	.297	25	7	24%	9%	118	+3.0	.235/.305/.379	.144	.305	16	7	27%	9%	92	+1.2	.225/.299/.343	.118	.303	12	6	28%	9%	80	+0.2

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)