Onix Vega — OGILVIE

Onix VegaC Syracuse Mets

Age 27 R/R 5'9" / 200 lbs AAA H +5%HR +3% Svc 0.0 · Ctrl thru 2033 peak 0.5 · 2027

wRC+†67

AVG/OBP/SLG.222 / .293 / .323

PA170

HR3

K%23

BB%8

MLB%10%

Scouting · now → future

HIT

50→50

PWR

34→34

SPD

45→45

EYE

48→48

trajectory · 10 yrs

0.6peak

2028

Contract

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

Status MiLB

MLB Debut 2028

Service 0 yrs (est)

Team Control Through 2033

First FA Year 2034

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2028
2027	MiLB	still in minors · estimated debut 2028
2028	Pre-Arb	$0.8M	+0.5	$2M	+$1M
2029	Arb-1	$0.8M	+0.5	$2M	+$1M
2030	Arb-2	$0.9M	+0.3	$1M	+$0.5M
2031	Arb-3	$3M	+0.1	$0.5M	+$0.0M (cut)
2032	Ext / FA-deal	$0.4M	—	—	—
2033	Ext / FA-deal	$0.6M	—	—	—
Totals		$4M		$3M	-$0.9M

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
2018	19	ROK	GCL Nationals	71	61	15	2	0	0	6	6	3	2	1	.246	.343	.279	.622	.033	.273	8	8	.260	57	-3	+0	+0	+1	+2	-0.0
2021	22	A	2 teams	316	280	57	12	0	2	21	72	10	5	1	.204	.283	.268	.551	.064	.262	23	7	.253	52	-17	+1	+0	+6	+9	-0.2
2022	23	A+	3 teams	320	284	63	10	1	4	25	87	10	4	2	.222	.307	.306	.614	.085	.304	27	8	.265	61	-14	+0	+0	+6	+9	0.1
2023	24	AA	4 teams	377	326	63	10	1	1	32	81	13	2	1	.193	.291	.239	.530	.046	.249	21	8	.242	43	-24	+0	+0	+7	+11	-0.7
2024	25	AA	3 teams	247	219	41	3	0	1	24	55	1	3	0	.187	.270	.215	.485	.027	.242	22	10	.223	29	-20	+1	+0	+4	+7	-0.8
2025	26	INTL	2 teams	160	149	25	6	2	2	8	37	2	0	1	.168	.220	.275	.495	.107	.207	23	5	.206	16	-15	-0	+0	+3	+5	-0.8
▸ 2026 Season (actual · ROS · total)
2026	27	AAA	Syracuse Mets	23	21	3	0	0	1	1	2	1	0	0	.143	.217	.286	.503	.143	.111	9	4	.218	25	-2	+0	+0	+0	+1	-0.1
ROS	27	MLB	NYM	147	133	29	5	1	2	12	33	1	2	1	.218	.288	.316	.603	.098	.279	22	8	.282	74	-4	+0	+0	+3	+4	0.2
TOT	27	MLB	NYM	170	154	32	5	1	3	13	35	2	2	1	.208	.278	.312	.590	.104	.248	21	8	.273	67	-6	+0	+0	+3	+5	0.2
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	28	MLB 20%	NYM	259	233	52	10	1	4	21	59	3	4	1	.223	.296	.326	.622	.103	.280	23	8	.285	76	-7	+0	-1	+5	+7	0.5
2028	29	MLB 33%	NYM	299	269	60	11	1	5	25	69	3	4	1	.223	.296	.327	.623	.104	.280	23	8	.286	77	-8	+0	-1	+5	+8	0.5
2029	30	MLB 43%	NYM	325	292	65	12	1	6	27	76	3	4	1	.223	.295	.332	.627	.110	.280	23	8	.285	76	-9	+0	-2	+6	+9	0.5
2030	31	MLB 52%	NYM	308	276	61	11	1	5	26	73	3	3	0	.221	.295	.322	.618	.101	.279	24	8	.282	74	-9	+1	-3	+6	+9	0.3
2031	32	MLB 64%	NYM	287	258	56	10	1	5	24	70	3	2	0	.217	.291	.322	.613	.105	.277	24	8	.277	70	-10	+0	-4	+5	+8	0.1
2032	33	MLB 73%	NYM	253	228	49	9	1	4	21	63	2	2	0	.215	.287	.316	.603	.101	.276	25	8	.272	66	-10	+0	-4	+5	+7	-0.2
2033	34	MLB 81%	NYM	209	188	40	7	1	3	17	54	2	1	0	.213	.285	.309	.594	.096	.274	26	8	.266	62	-9	+0	-5	+4	+6	-0.4
▸ Career Totals (MLE all levels + projections)
Career	—			3578	3196	676	118	12	44	289	835	59	38	10	.212	.289	.297	.586	.086	.270	23	8	.264	61	-160	+4	-20	+64	+101	-1.0
/ 162G	—			650	581	122	21	2	8	53	152	11	7	2	.210	.289	.294	.583	.084	.268	23	8	.264	61	-29	+1	-4	+12	+18	-0.2

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
2018	19	ROK	GCL Nationals	71	58	16	2	0	0	9	4	3	2	1	.276	.400	.310	.710	.034	.296	6	13	.334	114	+1	+0	—	—	+2	0.3
2021	22	A	Fredericksburg Nationals	289	240	56	12	0	3	34	47	10	5	0	.233	.352	.321	.673	.088	.273	16	12	.311	96	-1	+1	—	—	+8	0.8
2021	22	INTL	RA12	27	24	5	3	0	0	3	4	0	0	1	.208	.296	.333	.630	.125	.250	15	11	.287	78	-1	-0	—	—	+1	-0.0
2022	23	AAA	Rochester Red Wings	23	20	6	1	0	0	1	6	2	0	0	.300	.391	.350	.741	.050	.429	26	4	.347	124	+1	+0	—	—	+1	0.1
2022	23	A+	Wilmington Blue Rocks	253	215	57	10	1	4	34	52	4	4	2	.265	.375	.377	.752	.112	.333	21	13	.346	123	+6	+0	—	—	+7	1.4
2022	23	INTL	Criollos de Caguas	44	36	7	2	0	1	3	15	4	0	0	.194	.326	.333	.659	.139	.286	34	7	.302	90	-1	+0	—	—	+1	0.1
2023	24	AAA	Rochester Red Wings	62	54	11	1	0	0	6	11	1	0	1	.204	.295	.222	.517	.019	.250	18	10	.246	46	-4	-0	—	—	+2	-0.2
2023	24	AA	Harrisburg Senators	149	122	31	5	0	0	22	29	3	1	0	.254	.381	.295	.676	.041	.326	19	15	.319	102	+0	+0	—	—	+4	0.5
2023	24	A+	Wilmington Blue Rocks	69	57	10	3	1	1	7	7	3	1	0	.175	.299	.316	.614	.140	.176	10	10	.278	71	-2	+0	—	—	+2	-0.0
2023	24	INTL	Criollos de Caguas	97	79	16	2	0	0	11	12	6	0	0	.203	.344	.228	.572	.025	.239	12	11	.282	74	-3	+0	—	—	+3	-0.0
2024	25	AA	Harrisburg Senators	124	105	20	1	0	1	17	21	0	2	0	.190	.303	.229	.532	.038	.226	17	14	.254	53	-7	+0	—	—	+4	-0.3
2024	25	A+	Wilmington Blue Rocks	38	31	9	1	0	0	7	7	0	1	0	.290	.421	.323	.744	.032	.375	18	18	.353	128	+1	+0	—	—	+1	0.3
2024	25	INTL	Puerto Rico	85	69	17	3	0	1	14	16	1	0	0	.246	.381	.333	.714	.087	.302	19	16	.332	112	+1	+0	—	—	+2	0.4
2025	26	A+	Brooklyn Cyclones	78	70	15	4	1	1	7	14	0	0	1	.214	.286	.343	.629	.129	.250	18	9	.280	73	-2	-0	—	—	+2	-0.1
2025	26	INTL	Criollos de Caguas	82	71	17	0	0	3	9	7	2	0	0	.239	.341	.366	.708	.127	.230	9	11	.325	107	+1	+0	—	—	+2	0.3

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
Onix Vega (OGILVIE)	27	50	34	45	48	.222/.293/.323	.101	.279	3	3	23%	8%	74	-0.0	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Luis Martinez 2012 · MLB	27	53→57	38→40	47→40	47	.250/.311/.334	.083	.324	5	5	23%	7%	82	+0.5	.234/.290/.325	.091	.305	5	4	23%	7%	72	-0.2	.223/.280/.312	.089	.287	4	0	22%	6%	61	-0.4
✕Rob Johnson 2010 · MLB	28	48→52	41→45	41→50	47	.233/.286/.338	.104	.277	8	7	19%	6%	73	-0.1	.214/.284/.322	.108	.268	9	6	22%	8%	69	-0.4	.196/.269/.293	.097	.245	8	5	22%	8%	50	-0.7
✕Andy González 2009 · MLB	27	45→52	42→40	42→50	48	.218/.292/.317	.099	.281	9	10	25%	8%	72	-0.2	.222/.293/.320	.098	.288	10	8	25%	9%	72	-0.2	.216/.291/.313	.097	.268	10	5	22%	9%	68	-0.3
✕Bryson Brigman 2022 · AAA	27	50→59	40	47→50	48	.240/.298/.335	.095	.295	6	10	20%	7%	78	+0.2	.235/.285/.333	.098	.298	8	11	23%	6%	72	-0.2	.239/.295/.315	.076	.296	6	12	20%	6%	68	-0.2
✕Bryan Holaday 2015 · MLB	27	46	39→45	44→40	43	.222/.269/.308	.086	.271	6	5	20%	5%	58	-1.2	.224/.268/.336	.112	.273	11	4	22%	4%	66	-0.6	.217/.286/.341	.124	.252	13	2	19%	7%	71	-0.1
✕Carlos Alonso 2015 · AA	27	51→53	39→40	44→40	49	.241/.310/.328	.086	.289	6	5	18%	7%	82	+0.5	.228/.296/.321	.093	.285	7	8	21%	8%	73	-0.1	.171/.238/.250	.078	.231	5	4	26%	7%	27	-0.6
✕Juan Centeno 2017 · MLB	27	50	39→45	46→40	45	.240/.280/.322	.082	.281	6	5	17%	5%	66	-0.6	.236/.281/.323	.087	.283	7	4	19%	5%	67	-0.5	.236/.285/.353	.116	.279	12	2	19%	5%	73	-0.1
✕Matt Antonelli 2012 · AAA	27	48→52	45	45→50	50	.234/.301/.367	.132	.277	12	9	20%	8%	88	+0.9	.225/.295/.340	.115	.277	11	9	22%	8%	79	+0.3	.173/.261/.242	.070	.215	6	3	21%	9%	37	-0.8
✕Tommy Field 2014 · MLB	27	46→50	44→45	48→45	45	.225/.287/.344	.120	.284	12	7	25%	7%	76	+0.1	.220/.285/.347	.127	.275	13	7	24%	7%	76	+0.1	.206/.275/.335	.129	.253	14	5	24%	7%	67	-0.4
✕Jason Jaramillo 2010 · MLB	27	50→53	41→45	44→40	47	.244/.296/.340	.096	.290	9	3	19%	6%	78	+0.2	.224/.280/.312	.088	.273	7	5	20%	6%	64	-0.8	.209/.268/.272	.063	.262	4	3	21%	6%	46	-0.8
✕Austin Wynns 2018 · AAA	27	50→52	43→45	47→30	46	.244/.299/.350	.107	.295	10	3	21%	6%	82	+0.5	.232/.284/.333	.101	.285	12	3	22%	6%	71	-0.3	.244/.309/.343	.100	.312	10	2	24%	7%	82	+0.2
✕Tyler Smith 2017 · AAA	26	50→53	39→40	47→50	46	.237/.292/.326	.089	.297	7	9	22%	7%	72	-0.2	.208/.263/.296	.088	.273	8	7	25%	6%	53	-1.5	.179/.244/.260	.081	.240	8	4	28%	7%	33	-1.4
✕Josh Labandeira 2006 · AAA	27	51→52	38→40	45	49	.239/.309/.325	.086	.304	5	12	22%	8%	80	+0.4	.240/.297/.314	.074	.296	4	9	19%	6%	72	-0.2	.236/.292/.299	.063	.293	4	6	19%	6%	63	-0.4
✕Gilberto Galaviz 2019 · AAA	27	50	39→40	47→30	46	.239/.283/.323	.084	.263	7	9	12%	4%	68	-0.5	.231/.276/.311	.080	.259	8	7	14%	4%	63	-0.9	.231/.274/.271	.040	.257	4	0	12%	3%	48	-0.7
✕Angel Sanchez 2011 · MLB	27	53→60	37→40	45	46	.248/.292/.321	.073	.295	3	5	17%	6%	71	-0.3	.248/.300/.316	.068	.285	4	7	14%	6%	72	-0.2	.244/.301/.299	.055	.274	4	6	12%	7%	66	-0.3
✕Craig Stansberry 2009 · MLB	27	44→47	45→50	45→50	50	.216/.290/.342	.126	.264	12	11	22%	9%	77	+0.1	.223/.285/.332	.109	.277	10	10	22%	7%	72	-0.2	.219/.280/.322	.102	.276	9	11	23%	7%	65	-0.4
✕Nevin Ashley 2012 · AAA	27	46→50	42→45	44→45	42	.224/.291/.328	.104	.299	9	6	27%	6%	74	-0.1	.226/.291/.344	.118	.290	11	6	25%	7%	78	+0.2	.216/.284/.330	.113	.273	10	4	23%	7%	69	-0.2
✕Josh Ford 2010 · AA	27	47→53	41→45	46→30	43	.227/.283/.324	.097	.300	8	6	26%	7%	69	-0.4	.229/.280/.374	.145	.310	17	4	31%	5%	81	+0.4	.223/.273/.364	.141	.305	17	1	31%	5%	73	-0.1
✕Kevin Nolan 2015 · AAA	27	50	41→45	47→50	46	.240/.286/.343	.103	.278	8	9	17%	6%	74	-0.1	.227/.268/.318	.091	.262	7	10	16%	5%	60	-1.0	.223/.260/.304	.080	.253	6	9	14%	4%	51	-1.3
✕Chris Denove 2010 · AAA	27	50	41→40	39→40	46	.237/.293/.340	.103	.287	7	5	20%	6%	77	+0.1	.243/.298/.355	.112	.294	10	7	20%	6%	83	+0.6	.251/.307/.348	.098	.304	10	6	20%	6%	81	+0.2

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)