Mark Vientos — OGILVIE

Mark Vientos3B New York Mets

Age 26 R/R 6'3" / 185 lbs MLB H +5%HR +3% Svc 2.593S2 · Ctrl thru 2029 peak 1.6 · 2027

wRC+†vL 116101vR 99

AVG/OBP/SLG.243 / .301 / .448

PA541

HR24

K%27

BB%7

MLB%100%

Scouting · now → future

HIT

50→50

PWR

60→60

SPD

40→40

EYE

46↘40

trajectory · 10 yrs

2.4peak

2026

Contract

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

Status Pre-Arb SUPER-2

MLB Debut 2022

Service 2.593 yrs.days

Team Control Through 2029

First FA Year 2027

Year	Status	Salary	Proj WAR	Value	Surplus
2026	Arb-1	$0.8M	+1.2	$10M	+$9M
2027	Arb-2	$3M	+1.6	$13M	+$10M
2028	Arb-3	$5M	+1.4	$12M	+$7M
2029	Arb-4	$6M	+1.2	$10M	+$4M
Totals		$16M		$45M	+$30M

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
2017	17	ROK	Kingsport Mets	211	197	39	10	0	3	9	65	2	0	2	.198	.240	.294	.535	.096	.273	31	4	.233	37	-15	-1	+0	+1	+6	-0.9
2018	18	ROK	Kingsport Mets	262	236	52	9	0	9	24	61	1	1	0	.220	.295	.373	.668	.153	.257	23	9	.286	77	-7	+0	+0	+1	+7	0.2
2019	19	A	Columbia Fireflies	454	427	78	18	1	10	11	151	8	1	4	.183	.217	.300	.517	.117	.248	33	2	.225	30	-36	-1	+0	+2	+13	-2.3
2021	21	AA	2 teams	349	322	74	15	0	21	21	127	3	0	2	.230	.283	.472	.755	.242	.299	36	6	.324	106	+2	-1	+0	+1	+10	1.3
2022	22	AAA	2 teams	468	429	103	15	1	20	34	164	3	0	2	.240	.300	.420	.720	.179	.336	35	7	.311	96	-2	-1	-1	+2	+13	1.2
2023	23	AAA	2 teams	502	458	111	24	2	22	31	144	7	1	0	.242	.300	.448	.748	.205	.299	29	6	.320	103	+2	+0	-1	+2	+14	1.7
2024	24	MLB	2 teams	587	533	140	26	1	32	45	182	4	0	0	.263	.325	.495	.820	.233	.333	31	8	.348	125	+16	+0	-4	+2	+17	3.2
2025	25	MLB	2 teams	489	448	99	23	2	16	32	119	5	1	0	.221	.280	.388	.669	.167	.262	24	7	.295	84	-9	+0	-5	+2	+14	0.2
▸ 2026 Season (actual · ROS · total)
2026	26	MLB	New York Mets	67	62	14	2	0	2	4	14	0	0	0	.226	.273	.355	.628	.129	.255	21	6	.274	68	-2	+0	-1	-1	+2	-0.2
ROS	26	MLB	NYM	474	436	106	21	2	21	31	122	4	2	1	.243	.299	.445	.744	.202	.287	26	7	.324	106	+3	+0	-4	+2	+13	1.4
TOT	26	MLB	NYM	541	498	120	23	2	23	35	136	4	2	1	.241	.296	.434	.730	.193	.284	25	6	.318	101	+1	+0	-5	+0	+15	1.2
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	27	MLB	NYM	536	491	119	24	2	23	36	123	4	2	0	.242	.299	.440	.739	.198	.274	23	7	.324	106	+4	+0	-5	+2	+15	1.7
2028	28	MLB	NYM	528	483	117	23	2	23	36	122	4	1	0	.242	.300	.441	.741	.199	.274	23	7	.323	105	+3	+0	-5	+2	+15	1.5
2029	29	MLB	NYM	516	472	114	23	2	22	35	121	4	0	0	.242	.299	.439	.738	.197	.273	23	7	.321	104	+2	+0	-6	+2	+15	1.3
2030	30	MLB	NYM	504	461	109	22	1	21	34	120	4	0	0	.236	.295	.425	.720	.189	.272	24	7	.318	101	+1	+0	-7	+2	+14	1.0
2031	31	MLB	NYM	489	449	104	21	1	20	33	118	4	0	0	.232	.290	.416	.707	.185	.270	24	7	.314	98	-1	+0	-7	+2	+14	0.8
2032	32	MLB	NYM	470	431	100	20	1	19	32	116	4	0	0	.232	.291	.415	.707	.183	.268	25	7	.309	95	-3	+0	-8	+2	+13	0.5
2033	33	MLB	NYM	440	404	91	18	1	17	30	112	3	0	0	.225	.284	.401	.685	.176	.267	25	7	.303	90	-5	+0	-8	+2	+12	0.1
2034	34	MLB	NYM	394	362	81	16	1	15	26	103	3	0	0	.224	.281	.398	.679	.174	.265	26	7	.296	85	-7	+0	-8	+1	+11	-0.3
2035	35	MLB	NYM	340	313	67	13	1	12	22	93	2	0	0	.214	.270	.377	.647	.163	.262	27	6	.288	78	-8	+0	-9	+1	+10	-0.6
▸ Career Totals (MLE all levels + projections)
Career	—			8013	7352	1704	341	21	326	522	2163	69	9	11	.232	.289	.417	.706	.185	.280	27	7	.308	94	-59	-3	-77	+29	+227	11.9
/ 162G	—			650	596	138	28	2	26	42	175	6	1	1	.232	.289	.416	.705	.185	.280	27	6	.308	94	-5	-0	-6	+2	+18	1.0

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
2017	17	ROK	Kingsport Mets	211	191	50	14	0	4	15	46	2	0	2	.262	.322	.398	.720	.136	.319	22	7	.318	102	+0	-1	—	—	+6	0.6
2018	18	ROK	Kingsport Mets	262	223	64	12	0	11	37	43	1	1	0	.287	.391	.489	.880	.202	.312	16	14	.389	156	+17	+0	—	—	+7	2.5
2019	19	A	Columbia Fireflies	454	416	106	27	1	12	22	110	8	1	4	.255	.305	.411	.716	.156	.311	24	5	.313	98	-1	-1	—	—	+13	1.1
2021	21	AAA	Syracuse Mets	43	36	10	2	0	3	7	13	0	0	1	.278	.395	.583	.979	.306	.350	30	16	.424	182	+4	-0	—	—	+1	0.5
2021	21	AA	Binghamton Rumble Ponies	306	274	77	16	0	22	26	87	3	0	1	.281	.350	.580	.930	.299	.327	28	8	.399	163	+22	-0	—	—	+9	3.1
2022	22	MLB	New York Mets	41	36	6	1	0	1	5	12	0	0	0	.167	.268	.278	.546	.111	.217	29	12	.255	54	-2	+0	-1	+2	+1	0.0
2022	22	AAA	Syracuse Mets	427	378	106	16	1	24	44	122	3	0	2	.280	.360	.519	.879	.238	.350	29	10	.384	152	+25	-1	—	—	+12	3.7
2023	23	MLB	New York Mets	233	218	46	5	1	9	10	71	3	1	0	.211	.255	.367	.622	.156	.264	30	4	.275	68	-8	+0	-1	+2	+7	-0.1
2023	23	AAA	Syracuse Mets	269	232	71	21	1	16	29	58	4	0	0	.306	.392	.612	1.005	.306	.340	22	11	.427	185	+26	+0	—	—	+8	3.4
2024	24	MLB	New York Mets	454	413	110	22	0	27	33	135	3	0	0	.266	.325	.516	.841	.249	.324	30	7	.363	136	+18	+0	-4	+2	+13	3.0
2024	24	AAA	Syracuse Mets	133	116	33	5	1	6	16	38	1	0	0	.284	.376	.500	.876	.216	.375	29	12	.387	154	+8	+0	—	—	+4	1.2
2025	25	MLB	New York Mets	463	424	99	21	2	17	30	115	5	1	0	.233	.292	.413	.705	.179	.277	25	6	.310	95	-2	+0	-5	+2	+13	0.8
2025	25	AAA	Syracuse Mets	26	23	4	2	0	0	3	3	0	0	0	.174	.269	.261	.530	.087	.200	12	12	.249	49	-2	+0	—	—	+1	-0.1
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			1191	1091	261	49	3	54	78	333	11	2	0	.239	.297	.438	.735	.199	.290	28	7	.322	104	+6	+0	-10	+7	+34	3.8

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
Mark Vientos (OGILVIE)	26	50	60	40	40	.241/.297/.437	.196	.274	23	2	23%	7%	106	+1.9	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Renato Núñez 2020 · MLB	26	44→51	55→60	44→30	44	.235/.296/.415	.180	.285	24	3	27%	7%	99	+1.7	.243/.309/.448	.205	.293	28	3	27%	7%	114	+2.7	.233/.304/.458	.225	.279	32	1	29%	7%	111	+1.4
✕Wilin Rosario 2015 · MLB	26	51→55	55→60	43→45	43	.265/.302/.451	.186	.299	24	5	21%	5%	111	+2.5	.250/.286/.405	.155	.301	17	6	23%	5%	92	+1.2	.248/.276/.403	.156	.291	20	3	23%	3%	82	+0.4
●Paul DeJong 2019 · MLB	25	46→50	58→65	41→45	40	.246/.299/.449	.203	.304	26	3	29%	6%	109	+2.4	.240/.316/.448	.208	.281	27	6	25%	8%	116	+2.8	.227/.312/.432	.205	.258	28	7	24%	9%	109	+1.6
●Joe Crede 2003 · MLB	25	50→53	56→60	42→30	44	.264/.304/.452	.189	.291	25	6	20%	5%	111	+2.5	.254/.304/.434	.180	.266	23	3	15%	6%	107	+2.2	.255/.307/.454	.199	.254	27	1	13%	5%	111	+2.2
●Jonathan Schoop 2019 · MLB	27	50→56	55→60	41→45	41	.263/.303/.449	.186	.300	24	2	22%	4%	111	+2.5	.261/.306/.452	.191	.303	26	3	23%	5%	113	+2.6	.269/.317/.454	.185	.311	25	1	22%	5%	115	+2.0
✕Austin Allen 2020 · MLB	26	44→54	57→60	38→40	41	.237/.284/.433	.195	.284	26	2	27%	5%	99	+1.7	.236/.279/.421	.185	.289	24	3	27%	5%	94	+1.3	.214/.266/.402	.189	.251	27	0	27%	5%	80	+0.2
●Jedd Gyorko 2014 · MLB	25	48→53	55→60	43→45	44	.252/.300/.434	.182	.295	24	5	24%	6%	105	+2.1	.234/.292/.395	.161	.274	22	3	23%	7%	92	+1.2	.258/.332/.467	.210	.287	29	4	21%	10%	125	+2.5
✕Welington Castillo 2013 · MLB	26	44→54	53→60	42→30	44	.231/.299/.400	.169	.289	22	3	28%	7%	96	+1.5	.247/.316/.398	.151	.308	18	3	25%	7%	102	+1.9	.256/.312/.443	.187	.311	26	1	26%	7%	109	+1.6
✕Eloy Jiménez 2023 · MLB	26	52→56	57→65	45→40	46	.269/.325/.461	.191	.318	26	2	24%	7%	123	+3.3	.260/.311/.409	.149	.305	19	3	21%	7%	103	+1.9	.251/.301/.378	.127	.295	15	2	20%	6%	88	+0.5
✕Oscar Gonzalez 2023 · MLB	25	51→55	56→60	41→40	39	.266/.295/.453	.187	.307	24	3	23%	4%	108	+2.3	.251/.282/.408	.157	.311	17	5	25%	4%	90	+1.0	.244/.274/.391	.147	.310	15	5	26%	3%	80	+0.2
✕Maikel Franco 2019 · MLB	26	48→57	53→55	45→40	49	.248/.298/.417	.169	.259	22	2	15%	6%	100	+1.7	.235/.290/.395	.160	.249	20	2	15%	7%	91	+1.1	.225/.266/.352	.128	.252	15	1	18%	5%	67	-0.3
✕Ryan Mountcastle 2023 · MLB	26	48→56	56→60	43→40	45	.251/.309/.436	.185	.303	25	5	26%	7%	109	+2.4	.257/.309/.420	.163	.318	19	5	24%	7%	105	+2.1	.261/.309/.410	.150	.325	17	4	24%	6%	101	+1.4
●Trevor Plouffe 2013 · MLB	27	43→51	56→60	41→45	46	.230/.288/.420	.190	.256	24	5	22%	7%	97	+1.5	.247/.310/.417	.170	.286	20	4	20%	8%	105	+2.1	.250/.313/.423	.173	.285	19	2	19%	8%	105	+1.8
✕Matt LaPorta 2010 · MLB	25	47→49	57→55	43→30	47	.247/.313/.447	.200	.274	25	4	20%	7%	115	+2.8	.235/.303/.398	.163	.270	20	3	20%	8%	97	+1.5	.224/.292/.372	.148	.261	18	0	21%	8%	83	+0.4
●Mike Zunino 2017 · MLB	26	37→46	56→65	35→30	40	.210/.277/.396	.187	.262	26	2	31%	6%	87	+0.8	.223/.293/.434	.211	.294	29	2	33%	8%	103	+1.9	.210/.279/.420	.210	.282	28	1	35%	7%	91	+0.7
✕Chad Pinder 2020 · MLB	28	48→53	55	39→45	43	.248/.307/.431	.183	.304	23	3	27%	7%	108	+2.3	.246/.298/.419	.173	.307	21	4	26%	6%	101	+1.8	.239/.279/.403	.164	.313	20	3	30%	5%	86	+0.4
✕Andrew Young 2021 · MLB	27	43→46	54→55	44→40	42	.225/.306/.401	.176	.276	22	5	27%	6%	101	+1.8	.207/.288/.381	.174	.319	21	6	39%	7%	88	+0.9	.187/.272/.359	.173	.302	21	4	42%	7%	72	-0.1
★Matt Chapman 2019 · MLB	26	43→53	60→65	42→50	46	.233/.304/.457	.224	.297	27	4	31%	9%	114	+2.7	.251/.334/.495	.244	.299	30	3	26%	10%	135	+4.2	.244/.337/.451	.208	.299	24	10	25%	11%	122	+3.2
●Ryan Jeffers 2023 · MLB	26	39→49	55→60	45→40	46	.214/.287/.396	.182	.269	24	3	30%	9%	91	+1.1	.240/.321/.429	.189	.288	23	5	25%	9%	113	+2.6	.248/.335/.427	.180	.291	22	3	22%	9%	114	+1.9
●Kelly Shoppach 2006 · MLB	26	40→50	57→60	46→30	41	.217/.287/.405	.187	.280	26	4	32%	7%	93	+1.3	.237/.301/.428	.191	.325	24	3	33%	7%	105	+2.1	.241/.333/.459	.218	.323	26	0	32%	9%	123	+1.7

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)