Vidal Bruján — OGILVIE

Vidal Bruján3B Syracuse Mets

Age 28 S/R 5'9" / 180 lbs AAA H +5%HR +3% Svc 3.081 · Ctrl thru 2028

wRC+†vL 7068vR 73

AVG/OBP/SLG.208 / .282 / .308

PA236

HR3

SB8

K%21

BB%8

MLB%45%

Scouting · now → future

HIT

45→45

PWR

30→30

SPD

50→50

EYE

50→50

trajectory · 10 yrs

-0.1peak

2026

Contract

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

Status Arb-1

MLB Debut 2021

Service 3.081 yrs.days

Team Control Through 2028

First FA Year 2027

Year	Status	Salary	Proj WAR	Value	Surplus
2026	Arb-1	$0.8M	—	—	—
2027	Arb-2	$0.4M	—	—	—
2028	Arb-3	$0.6M	—	—	—
Totals		$-3M		$-3M	+$0.0M

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
2015	17	ROK	DSL Rays	272	240	58	7	3	2	24	23	5	22	12	.242	.323	.321	.644	.079	.259	8	9	.282	74	-8	-0	+0	+1	+8	0.0
2016	18	ROK	GCL Rays	223	209	47	9	4	1	8	22	5	8	5	.225	.270	.321	.591	.096	.247	10	4	.253	52	-12	-0	+0	+1	+6	-0.6
2018	20	A	2 teams	548	493	139	21	6	8	45	89	5	55	19	.282	.348	.398	.746	.116	.328	16	8	.327	108	+5	+3	+0	+2	+16	2.6
2019	21	AA	3 teams	529	485	112	18	6	5	32	102	7	52	18	.231	.288	.324	.612	.093	.280	19	6	.269	64	-21	+3	+0	+2	+15	-0.1
2020	22	INTL	Toros del Este	75	63	16	2	1	0	11	10	1	10	3	.254	.373	.317	.691	.063	.302	13	15	—	—	—	—	+0	+0	—	—
2021	23	AAA	3 teams	536	495	107	28	1	11	38	101	1	53	11	.216	.273	.343	.617	.127	.250	19	7	.271	66	-21	+6	-1	+2	+15	0.2
2022	24	AAA	3 teams	512	467	105	19	2	9	34	107	6	33	19	.225	.286	.332	.618	.107	.271	21	7	.271	65	-20	-1	+1	+2	+15	-0.4
2023	25	AAA	3 teams	546	492	107	17	6	11	40	120	7	45	20	.217	.286	.343	.629	.126	.262	22	7	.277	70	-19	+1	-3	+2	+15	-0.3
2024	26	MLB	2 teams	430	380	87	22	3	3	39	84	7	15	10	.229	.312	.326	.639	.097	.285	20	9	.279	72	-14	-1	-3	+5	+12	-0.0
2025	27	INTL	2 teams	202	184	46	11	0	0	13	45	3	7	4	.250	.310	.310	.620	.060	.326	22	6	.281	73	-6	-0	-0	+1	+6	-0.0
▸ 2026 Season (actual · ROS · total)
2026	28	AAA	Syracuse Mets	67	60	15	1	0	1	5	12	1	3	2	.250	.318	.317	.635	.067	.292	18	7	.273	67	-2	-0	+0	+0	+2	-0.1
ROS	28	MLB	NYM	169	152	33	6	1	2	13	35	2	5	2	.217	.287	.309	.597	.092	.263	21	8	.275	68	-6	+0	-0	+1	+5	-0.1
TOT	28	MLB	NYM	236	212	48	7	1	3	18	47	3	8	4	.226	.296	.311	.607	.085	.274	20	8	.274	68	-9	+0	-0	+1	+7	-0.1
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	29	MLB 54%	NYM	298	267	58	11	2	4	25	54	4	9	3	.217	.294	.318	.612	.101	.255	18	8	.275	69	-10	+1	-2	+1	+8	-0.3
2028	30	MLB 65%	NYM	327	292	62	11	2	4	27	61	5	9	3	.212	.290	.305	.595	.092	.253	19	8	.272	67	-12	+1	-3	+1	+9	-0.4
2029	31	MLB 74%	NYM	312	279	60	11	2	4	26	59	4	7	2	.215	.291	.312	.603	.097	.252	19	8	.269	64	-13	+1	-4	+1	+9	-0.6
2030	32	MLB 82%	NYM	293	263	54	10	1	3	24	57	4	6	2	.205	.282	.285	.567	.080	.250	19	8	.264	60	-13	+0	-4	+1	+8	-0.8
2031	33	MLB 89%	NYM	263	236	46	8	1	2	22	53	3	4	1	.195	.272	.263	.535	.068	.248	20	8	.258	56	-13	+0	-5	+1	+7	-0.9
2032	34	MLB	NYM	220	197	39	7	1	2	18	46	3	3	1	.198	.275	.274	.549	.076	.246	21	8	.252	51	-12	+0	-5	+1	+6	-1.1
▸ Career Totals (MLE all levels + projections)
Career	—			5755	5194	1176	218	42	71	439	1068	72	343	135	.226	.296	.326	.621	.099	.271	19	8	.272	67	-216	+15	-30	+24	+163	-4.6
/ 162G	—			650	587	133	25	5	8	50	121	8	39	15	.227	.296	.327	.623	.101	.271	19	8	.272	67	-24	+2	-3	+3	+18	-0.5

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
2015	17	ROK	DSL Rays	272	226	68	9	4	2	38	16	5	22	12	.301	.413	.403	.815	.102	.316	6	14	.369	140	+12	-0	—	—	+8	2.0
2016	18	ROK	GCL Rays	223	202	57	12	5	1	14	15	5	8	5	.282	.342	.406	.748	.124	.301	7	6	.333	113	+3	-0	—	—	+6	0.9
2018	20	A+	Charlotte Stone Crabs	114	98	34	7	2	4	15	15	0	12	4	.347	.434	.582	1.015	.235	.380	13	13	.439	194	+12	+1	—	—	+3	1.6
2018	20	A	Bowling Green Hot Rods	434	377	118	18	5	5	48	53	5	43	15	.313	.398	.427	.825	.114	.351	12	11	.369	141	+20	+3	—	—	+12	3.6
2019	21	AA	Montgomery Biscuits	233	207	55	9	4	3	20	35	3	24	8	.266	.339	.391	.730	.126	.304	15	9	.325	107	+2	+2	—	—	+7	1.0
2019	21	A+	Charlotte Stone Crabs	196	176	51	8	3	1	17	26	2	24	5	.290	.359	.386	.745	.097	.333	13	9	.336	115	+3	+3	—	—	+6	1.2
2019	21	INTL	Salt River Rafters	100	82	21	3	4	2	15	17	2	4	5	.256	.384	.463	.847	.207	.297	17	15	.373	143	+5	-1	—	—	+3	0.7
2020	22	INTL	Toros del Este	75	63	16	2	1	0	11	10	1	10	3	.254	.373	.317	.691	.063	.302	13	15	.325	107	+1	+1	—	—	+2	0.4
2021	23	MLB	Tampa Bay Rays	26	26	2	0	0	0	0	8	0	1	0	.077	.077	.077	.154	.000	.111	31	0	.070	-88	-6	+0	-1	+2	+1	-0.3
2021	23	AAA	Durham Bulls	441	389	102	31	1	12	49	68	1	44	8	.262	.346	.440	.786	.177	.290	15	11	.349	125	+12	+6	—	—	+12	3.1
2021	23	INTL	Toros del Este	69	63	13	2	1	0	6	11	0	8	3	.206	.275	.270	.545	.063	.250	16	9	.252	51	-4	+0	—	—	+2	-0.1
2022	24	MLB	Tampa Bay Rays	162	147	24	5	0	3	12	37	1	5	5	.163	.231	.259	.490	.095	.193	23	7	.224	29	-13	-1	+1	+2	+5	-0.7
2022	24	AAA	Durham Bulls	290	257	75	14	3	6	27	48	5	26	13	.292	.370	.440	.810	.148	.338	17	9	.362	135	+11	+0	—	—	+8	2.0
2022	24	INTL	Toros del Este	60	54	13	4	0	0	4	10	0	2	1	.241	.293	.315	.608	.074	.295	17	7	.268	63	-2	+0	—	—	+2	-0.1
2023	25	MLB	Tampa Bay Rays	84	76	13	2	0	0	5	21	2	3	2	.171	.241	.197	.438	.026	.236	25	6	.208	17	-8	-0	-3	+2	+2	-0.7
2023	25	AAA	Durham Bulls	276	239	65	11	4	10	31	49	4	19	14	.272	.365	.477	.842	.205	.302	18	11	.370	141	+13	-2	—	—	+8	1.9
2023	25	INTL	Estrellas Orientales	186	145	38	7	1	0	36	27	1	23	4	.262	.412	.324	.736	.062	.314	15	19	.342	120	+4	+3	—	—	+5	1.3
2024	26	MLB	Miami Marlins	278	248	55	14	2	2	25	54	4	5	6	.222	.303	.319	.622	.097	.276	19	9	.285	76	-7	-1	-3	+5	+8	0.1
2024	26	INTL	Estrellas Orientales	152	126	29	4	0	1	20	19	3	10	4	.230	.349	.286	.635	.056	.259	12	13	.297	85	-3	+0	—	—	+4	0.2
2025	27	MLB	Atlanta Braves	95	87	22	5	0	0	6	21	1	2	1	.253	.309	.310	.619	.057	.328	22	6	.281	73	-3	+0	-0	+1	+3	0.0
2025	27	INTL	Estrellas Orientales	107	89	19	1	0	0	15	21	2	5	3	.213	.340	.225	.564	.011	.275	20	14	.276	69	-4	-0	—	—	+3	-0.1
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			645	584	116	26	2	5	48	141	8	16	14	.199	.269	.276	.544	.077	.252	22	7	.250	50	-37	-2	-6	+11	+18	-1.6

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
Vidal Bruján (OGILVIE)	28	45	30	50	50	.208/.282/.308	.100	.257	3	7	21%	8%	66	-0.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Richy Pedroza 2019 · AAA	28	47→55	36→30	46→50	50	.222/.287/.288	.067	.267	3	15	18%	8%	61	-1.0	.242/.318/.331	.089	.291	5	19	17%	10%	85	+0.7	.251/.335/.331	.080	.301	3	23	16%	11%	89	+0.9
✕Cesar Crespo 2007 · MLB	28	47→50	41→40	53→55	48	.228/.282/.323	.095	.275	8	22	20%	7%	68	-0.5	.226/.278/.310	.084	.282	7	16	21%	7%	63	-0.9	.223/.273/.285	.062	.281	4	14	21%	6%	51	-1.1
✕Skyler Stromsmoe 2013 · AAA	29	46	38→40	50	46	.219/.285/.301	.082	.281	6	15	23%	7%	64	-0.8	.219/.295/.295	.076	.275	4	13	20%	8%	67	-0.5	.212/.296/.271	.058	.265	1	11	18%	8%	59	-0.4
✕Pedro Florimón 2015 · MLB	28	44→52	41→45	53→55	42	.213/.265/.313	.100	.286	8	18	28%	6%	58	-1.2	.215/.267/.323	.108	.307	8	19	31%	6%	61	-1.0	.224/.280/.339	.115	.329	10	11	33%	6%	69	-0.2
✕Wilton Guerrero 2004 · MLB	29	51	39→30	53→50	45	.246/.285/.331	.085	.289	7	18	18%	5%	70	-0.3	.235/.280/.352	.117	.267	11	12	16%	6%	75	-0.0	.251/.287/.375	.125	.274	9	6	12%	4%	79	+0.1
✕Todd Cunningham 2017 · MLB	28	49→57	39→40	51→55	47	.233/.289/.317	.084	.272	6	19	17%	6%	69	-0.4	.227/.306/.319	.092	.273	7	15	18%	7%	79	+0.3	.237/.337/.328	.090	.290	5	10	18%	8%	92	+0.7
✕Callix Crabbe 2011 · MLB	28	42→52	38→40	49→55	51	.201/.274/.282	.081	.245	5	16	20%	8%	54	-1.4	.224/.284/.338	.114	.261	12	16	18%	7%	73	-0.1	.243/.301/.369	.126	.263	15	16	14%	7%	85	+0.3
✕Robi Estrada 2017 · AAA	28	48	42→40	52→50	45	.233/.282/.335	.102	.285	9	13	22%	6%	71	-0.3	.220/.266/.338	.118	.289	13	14	27%	6%	66	-0.6	.169/.211/.283	.114	.224	15	14	32%	5%	26	-0.6
✕Stephen Perez 2018 · AAA	27	42→48	38→30	50	47	.202/.269/.276	.074	.268	6	13	26%	8%	50	-1.7	.211/.281/.287	.076	.301	6	14	29%	8%	59	-1.1	.199/.280/.207	.008	.301	0	18	30%	9%	38	-0.5
✕Chris Barnwell 2007 · MLB	28	48→51	39→40	49→50	44	.229/.280/.310	.081	.277	6	14	19%	5%	64	-0.8	.224/.279/.312	.088	.270	7	15	19%	5%	64	-0.8	.212/.269/.295	.083	.257	6	14	19%	5%	53	-1.0
✕Andrew Romine 2015 · MLB	29	50→54	37→40	53→55	46	.239/.290/.311	.073	.294	5	21	20%	6%	67	-0.5	.235/.291/.320	.085	.294	7	20	21%	6%	71	-0.3	.234/.293/.321	.087	.290	6	19	20%	6%	70	-0.1
✕Zach Sorensen 2006 · MLB	29	50	39→30	51→60	47	.237/.295/.320	.083	.300	6	24	22%	7%	72	-0.2	.232/.293/.312	.080	.298	6	16	23%	8%	69	-0.4	.226/.287/.284	.057	.295	4	10	23%	8%	58	-0.5
✕Jonathan Diaz 2013 · AAA	28	46→48	36→30	47→50	52	.216/.296/.280	.064	.268	4	12	20%	9%	64	-0.8	.214/.290/.278	.064	.268	4	12	20%	8%	60	-1.0	.209/.285/.267	.058	.262	2	9	19%	8%	52	-1.1
✕Rafael Ynoa 2016 · MLB	28	50→54	39→40	46→55	43	.238/.276/.328	.089	.292	5	10	20%	5%	66	-0.6	.218/.263/.292	.074	.282	4	9	23%	6%	51	-1.7	.204/.255/.264	.060	.266	2	8	23%	6%	37	-1.9
✕Felix Martinez 2001 · MLB	27	46	40	52→50	52	.218/.302/.316	.098	.265	7	14	20%	9%	76	+0.0	.231/.296/.332	.101	.283	7	14	20%	7%	76	+0.1	.234/.275/.311	.077	.285	3	8	19%	4%	59	-0.6
✕Jack Reinheimer 2021 · MLB	29	43→51	40	51→55	44	.211/.266/.303	.092	.272	8	17	25%	6%	56	-1.3	.203/.255/.286	.083	.288	7	20	30%	6%	47	-1.9	.180/.231/.241	.060	.254	5	22	29%	5%	23	-1.5
✕Ivan Ochoa 2011 · MLB	28	47→54	41→40	53→55	46	.228/.291/.325	.097	.285	8	20	22%	7%	73	-0.1	.213/.264/.300	.087	.263	5	11	20%	6%	54	-1.4	.203/.250/.269	.066	.252	2	8	19%	5%	40	-1.5
✕Anderson Machado 2009 · AAA	28	41→43	41→40	49→45	48	.202/.273/.301	.099	.268	8	9	27%	9%	59	-1.1	.198/.272/.284	.086	.277	5	10	28%	9%	54	-1.4	.194/.272/.269	.075	.285	1	9	29%	9%	48	-0.7
✕Jecksson Flores 2022 · AAA	28	44→54	39→40	49→55	47	.212/.275/.298	.086	.258	6	12	20%	7%	59	-1.1	.222/.284/.318	.096	.273	7	7	20%	7%	68	-0.5	.218/.281/.303	.084	.268	6	3	20%	6%	59	-0.6
✕Derrick Robinson 2015 · MLB	27	49→50	36→40	50→65	46	.231/.287/.301	.070	.299	4	18	23%	7%	64	-0.8	.236/.284/.296	.060	.295	4	19	20%	6%	61	-1.0	.246/.290/.260	.014	.307	0	25	18%	6%	51	-0.9

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)