Branny De Oleo — OGILVIE

Branny De OleoSS St. Lucie Mets

Age 21 R/R 6'1" / 156 lbs A H -5% Svc 0.0 · Ctrl thru 2036

2026 ROS PROJECTION334 act + 10 ros · stats below = ROS only

showingROS

wRC+†55

AVG/OBP/SLG.111 / .200 / .111

PA10

HR0

K%40

BB%10

BABIP265

ISO99

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit-$8M ctrl surplus

Tools · ContractCON 30 / POW 43

Toolsscout grade

CONTACT30

scouting grade only

POWER43

scouting grade only

EYE49

scouting grade only

SPEED57

scouting grade only

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

Status MiLB

MLB Debut 2031

Service 0 yrs (est)

Team Control Through 2036

First FA Year 2037

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2031
2027	MiLB	still in minors · estimated debut 2031
2028	MiLB	still in minors · estimated debut 2031
2029	MiLB	still in minors · estimated debut 2031
2030	MiLB	still in minors · estimated debut 2031
2031	Pre-Arb	$0.9M	—	—	—
2032	Pre-Arb	$0.9M	—	—	—
2033	Pre-Arb	$1.0M	—	—	—
2034	Arb-1	$0.4M	—	—	—
2035	Arb-2	$5M	—	—	—
2036	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$-0.6M	+$0.0M

Career Stats + Projections

Real MLB stats plus park-adjusted projections — this season (so far / rest / full), then future seasons and career totals.

show model inputsbasis chips: RAW = as recorded · CTX = with park/league context · A+C = actual + context combined · MLE = level/park-neutral

Methodology▸ how these numbers are built

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	MLB%	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
▸ Career — actual stats, one row per stint (as recorded, no adjustments)
2023	18	ROK	DSL Mets Blue	—	191	166	52	12	3	3	14	18	11	6	1	313	403	476	879	163	338	9	7	393	152	+12	+1	—	—	+4	1.7
2024	19	ROK	FCL Mets	—	155	139	29	3	2	2	11	35	4	4	4	209	286	302	588	94	262	23	7	269	69	-6	-1	—	—	+3	-0.3
2025	20	ROK	FCL Mets	—	141	124	24	5	2	1	16	26	1	16	2	194	291	290	581	97	237	18	11	270	69	-5	+2	—	—	+3	0.0
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2023	18	ROK MLE	DSL Mets Blue	—	191	172	38	8	2	3	8	27	11	6	1	221	298	343	641	122	240	14	4	271	70	-7	+1	—	—	+4	-0.2
2024	19	ROK MLE	FCL Mets	—	155	144	20	2	1	1	6	52	4	4	4	139	195	188	382	49	206	34	4	182	9	-17	-1	—	—	+3	-1.4
2025	20	ROK MLE	FCL Mets	—	141	130	17	3	1	1	10	37	1	16	2	131	199	192	391	62	181	26	7	184	11	-15	+2	—	—	+3	-1.0
2023	18	ROK MLE	DSL Mets Blue	—	191	172	38	8	2	3	8	27	11	6	1	221	298	343	641	122	246	14	4	271	70	—	—	—	—	—	—
2023	18	ROK RAW	DSL Mets Blue	—	191	166	52	12	3	3	14	18	11	6	1	313	403	476	879	163	338	9	7	393	70	—	—	—	—	—	—
2024	19	ROK MLE	FCL Mets	—	155	144	20	2	1	1	6	52	4	4	4	139	195	188	382	49	207	34	4	182	9	—	—	—	—	—	—
2024	19	ROK RAW	FCL Mets	—	155	139	29	3	2	2	11	35	4	4	4	209	286	302	588	94	262	23	7	269	9	—	—	—	—	—	—
2025	20	ROK MLE	FCL Mets	—	141	130	17	3	1	1	10	37	1	16	2	131	199	192	391	62	174	26	7	184	11	—	—	—	—	—	—
2025	20	ROK RAW	FCL Mets	—	141	124	24	5	2	1	16	26	1	16	2	194	291	290	581	97	237	18	11	270	11	—	—	—	—	—	—
2023	18	ROK MLE	DSL Mets Blue	—	191	170	38	8	2	3	8	27	11	6	1	224	298	347	645	124	240	14	4	271	70	—	—	—	—	—	—
2024	19	ROK MLE	FCL Mets	—	155	144	20	2	1	1	6	52	4	4	4	139	195	188	382	49	206	34	4	182	9	—	—	—	—	—	—
2025	20	ROK MLE	FCL Mets	—	141	129	17	3	1	1	10	37	1	16	2	132	199	194	392	62	181	26	7	184	11	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	18	ROK MLE	DSL Mets Blue	—	191	170	38	8	2	3	8	27	11	6	1	224	298	347	645	124	240	14	4	271	70	—	—	—	—	—	—
2024	19	ROK MLE	FCL Mets	—	155	144	20	2	1	1	6	52	4	4	4	139	195	188	382	49	206	34	4	182	9	—	—	—	—	—	—
2025	20	ROK MLE	FCL Mets	—	141	129	17	3	1	1	10	37	1	16	2	132	199	194	392	62	181	26	7	184	11	—	—	—	—	—	—
YTD	21	A MLE	NYM	—	334	297	54	12	0	8	24	131	9	12	8	182	264	303	567	121	286	39	7	250	55	-18	-1	+0	+4	+7	-0.8
▸ 2026 season
YTD	21	A RAW	NYM	—	334	289	70	15	0	10	32	92	9	12	8	242	336	398	734	156	316	28	10	329	55	—	—	—	—	—	—
ROS	21	A MLE	NYM	0%	10	9	1	0	0	0	1	4	0	0	0	111	200	111	311		273	40	10	250	55	-1	+0	+0	+0	+0	-0.0
TOT	21	A MLE	NYM	—	344	306	55	12	0	8	25	135	9	12	8	180	262	297	559	118	283	39	7	250	55	-18	-1	+0	+4	+7	-0.8
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	22	MLB MLE	NYM	34%	330	297	57	12	1	7	23	111	7	7	3	192	266	310	576	118	275	34	7	261	63	-15	+0	+0	+4	+7	-0.4
2028	23	MLB MLE	NYM	48%	409	369	73	15	2	9	29	133	8	9	4	198	271	322	593	125	277	33	7	269	68	-16	+0	+0	+4	+9	-0.2
2029	24	MLB MLE	NYM	53%	460	414	84	17	2	11	34	146	9	10	5	203	278	333	611	130	279	32	7	274	72	-15	+0	+0	+5	+10	-0.1
2030	25	MLB MLE	NYM	55%	483	435	89	18	2	12	36	152	9	11	5	205	279	338	617	133	279	31	7	277	74	-15	+0	+0	+5	+10	0.1
2031	26	MLB MLE	NYM	56%	496	446	90	18	2	12	37	156	10	11	5	202	278	332	610	130	279	31	7	278	74	-15	+0	+0	+5	+11	0.1
2032	27	MLB MLE	NYM	55%	498	447	90	18	2	12	38	157	10	11	5	201	279	331	610	130	279	32	8	278	74	-15	+0	+0	+5	+11	0.1
2033	28	MLB MLE	NYM	55%	495	444	90	18	2	12	38	157	10	10	5	203	280	333	614	131	279	32	8	277	73	-16	+0	-1	+5	+11	-0.0
2034	29	MLB MLE	NYM	53%	486	436	88	17	2	12	37	155	10	10	5	202	280	333	612	131	278	32	8	275	72	-16	+0	-1	+5	+11	-0.2
2035	30	MLB MLE	NYM	57%	476	427	85	17	2	11	37	153	9	8	4	199	277	326	602	126	277	32	8	273	71	-17	+0	-2	+5	+10	-0.3
2027	22	MLB CTX	NYM	34%	113	102	18	4	0	2	8	38	2	3	1	176	250	275	525	98	268	34	7	241	63	-5	+0	+0	+1	+2	-0.1
2028	23	MLB CTX	NYM	48%	198	178	34	7	1	4	14	64	4	4	2	191	265	309	574	118	270	32	7	250	68	-8	+0	+0	+2	+4	-0.1
2029	24	MLB CTX	NYM	53%	243	218	44	9	1	6	18	77	5	5	3	202	278	335	613	133	271	32	7	255	72	-8	-0	+0	+3	+5	-0.1
2030	25	MLB CTX	NYM	55%	264	237	46	9	1	6	20	83	5	6	3	194	271	316	587	122	272	31	8	258	74	-8	+0	+0	+3	+6	0.0
2031	26	MLB CTX	NYM	56%	276	248	50	10	1	7	21	87	5	6	3	202	277	335	612	133	272	32	8	259	74	-9	+0	+0	+3	+6	0.0
2032	27	MLB CTX	NYM	55%	274	246	49	10	1	7	21	86	5	6	3	199	276	333	609	134	272	31	8	259	74	-8	+0	+0	+3	+6	0.0
2033	28	MLB CTX	NYM	55%	271	243	48	9	1	7	21	86	5	6	3	198	275	329	604	132	271	32	8	258	73	-9	+0	-0	+3	+6	-0.0
2034	29	MLB CTX	NYM	53%	259	232	45	9	1	6	20	83	5	5	2	194	272	319	591	125	271	32	8	256	72	-9	+0	-1	+3	+6	-0.1
2035	30	MLB CTX	NYM	57%	271	243	47	9	1	6	21	87	5	5	2	193	271	313	584	119	270	32	8	254	71	-9	+0	-1	+3	+6	-0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2169	1947	381	76	8	51	164	691	41	46	22	196	272	322	594	126	272	32	8	256	67	-73	+0	-2	+23	+47	-0.4
/ 162G	—	A+C		—	650	583	114	23	2	15	49	207	12	14	7	196	271	319	590	123	272	32	8	256	67	-22	+0	-1	+7	+14	-0.1
Career	—	MLE		—	4630	4170	822	163	21	103	334	1440	98	113	48	197	272	320	593	123	272	31	7	268	67	-140	+1	-4	+44	+90	-1.0
/ 162G	—	MLE		—	650	585	115	23	3	14	47	202	14	16	7	197	272	318	590	121	272	31	7	268	67	-22	+0	-1	+7	+14	-0.2

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Sandy Leónlast yr '22 career totals — 9 seasons, 1,648 PA	2.5	1,648	31	1	209	276	313	+29	+56	6.4	6.7
/162	664	12	0	+11.9	+22.4	2.6	pk7: 7
#2Chris Owingslast yr '22 career totals — 9 seasons, 2,420 PA	3.6	2,420	35	78	239	286	365	+13	-0	3.7	4.5
/162	664	10	21	+3.6	-0.1	1.0	pk7: 5
#3Adam Engellast yr '22 career totals — 6 seasons, 1,540 PA	2.3	1,540	30	47	225	280	350	+4	+33	4.1	4.1
/162	664	13	20	+1.8	+14.4	1.8	pk7: 4
#4Adam Rosaleslast yr '17 career totals — 9 seasons, 1,756 PA	2.6	1,756	47	16	227	293	367	+6	+8	3.0	3.5
/162	664	18	6	+2.4	+3.0	1.1	pk7: 4
#5Ryan Goinslast yr '19 career totals — 7 seasons, 1,680 PA	2.5	1,680	22	6	230	279	335	+9	+21	2.0	2.0
/162	664	9	2	+3.7	+8.5	0.8	pk7: 2
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 6 projected seasons	3.6	2,366	55	51	201	273	327	+25	+18	0.8	1.0
/162	664	15	14	+7.1	+5.1	0.2	pk7: 1
#6Alexi Amaristalast yr '17 career totals — 7 seasons, 1,901 PA	2.9	1,901	21	39	231	275	323	+14	-6	-1.1	-1.1
/162	664	7	14	+4.9	-2.1	-0.4	pk7: -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
Branny De Oleo (OGILVIE)	21	25→30	38→43	52→57	49	181/254/287	106	273	4	6	35%	7%	55	-0.6	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Sean Coyle 2013 · A	21	38→36	45→50	54→50	38	193/255/316	124	276	12	13	34%	6%	61	-1.5	204/262/352	148	296	18	14	36%	6%	72	-0.7	194/255/352	157	279	21	15	37%	7%	68	-0.5
✕Jeter Downs 2019 · A	21	41→40	43→50	52→55	43	204/269/311	107	264	11	18	26%	6%	65	-1.2	205/270/351	146	270	17	18	29%	7%	75	-0.5	171/263/306	134	238	15	26	33%	8%	61	-0.7
✕Johan Mieses 2016 · A	21	41→33	45→55	52→50	39	207/251/337	130	273	12	14	29%	5%	63	-1.3	187/234/345	158	264	20	4	37%	5%	60	-1.6	191/265/355	164	235	23	7	30%	7%	72	-0.4
✕Jase Bowen 2022 · A	21	37→40	42→50	54→55	35	184/245/283	99	282	10	12	37%	5%	50	-2.3	197/252/315	118	289	14	16	35%	5%	59	-1.6	203/254/335	133	288	14	24	34%	5%	62	-0.9
✕Steven Baron 2012 · A	21	34	39→45	45→50	36	172/216/255	83	252	7	7	34%	5%	31	-3.7	189/226/284	95	266	6	9	30%	4%	41	-3.0	237/293/310	73	315	4	8	24%	7%	69	-0.4
✕Misael Urbina 2023 · A	21	38→30	41→45	48→50	44	187/255/292	104	257	8	12	29%	8%	55	-1.9	174/252/260	86	262	6	9	33%	9%	47	-2.5	158/245/237	79	236	5	8	32%	9%	37	-1.9
✕Frankeny Fernandez 2017 · A	20	36	38→40	53→60	42	174/248/255	81	275	5	19	36%	8%	45	-2.7	193/258/268	75	281	5	10	31%	7%	51	-2.3	172/238/215	43	239	3	6	27%	7%	30	-1.1
✕Ismael Alcantara 2019 · A	20	39→29	38→45	51→50	41	185/255/266	81	281	5	13	34%	7%	49	-2.4	210/275/314	104	329	8	15	36%	7%	68	-1.0	190/253/306	116	287	12	16	36%	6%	55	-0.9
✕Jorge Alcantara 2013 · A	21	42	41→45	50	43	201/271/299	98	298	8	11	33%	8%	63	-1.4	193/263/287	94	294	6	14	34%	8%	57	-1.8	147/226/244	97	221	6	25	34%	8%	33	-1.0
✕Kyle Nevin 2023 · A	21	41→38	40	52→50	39	198/250/294	96	274	6	10	29%	5%	53	-2.1	216/274/318	102	332	9	10	35%	7%	68	-1.0	210/271/306	96	328	9	12	36%	7%	61	-0.9
✕Nelson Medina 2022 · A	21	40	38→45	53→50	48	189/275/275	85	275	5	15	31%	10%	59	-1.6	188/260/285	97	334	7	13	42%	8%	55	-1.9	138/202/215	77	286	6	16	50%	7%	15	-1.7
✕Rafael Morel 2022 · A	20	38	40	51→50	39	187/249/281	94	269	8	13	32%	6%	51	-2.3	196/261/274	78	315	7	10	37%	7%	53	-2.1	188/258/263	75	295	9	10	37%	7%	47	-1.2
✕Chris Roller 2018 · A	21	37	37→45	53→55	45	178/254/255	77	243	4	12	27%	8%	47	-2.5	205/274/318	113	295	9	11	31%	7%	68	-1.0	191/257/296	105	277	7	15	32%	6%	55	-0.9
✕Gilbert Gomez 2012 · A	20	40→37	40	52→50	40	195/254/288	93	274	7	14	31%	6%	53	-2.1	201/272/277	76	304	4	8	32%	8%	58	-1.7	190/273/260	70	294	3	7	33%	10%	51	-1.4
✕Jose Meza 2023 · A	20	41→40	41→45	48→50	41	200/267/299	99	282	9	10	31%	6%	61	-1.5	203/296/305	102	299	9	8	32%	10%	74	-0.5	186/292/283	98	277	9	10	33%	11%	67	-0.7
✕Rey Duran 2009 · A	20	36	41→50	49→40	41	183/243/277	94	256	9	6	31%	6%	47	-2.5	213/267/338	125	268	14	5	25%	6%	70	-0.8	210/263/349	139	246	19	2	23%	5%	69	-0.4
✕Franklin Tineo 2017 · A	22	36	38→45	46→50	45	179/245/253	75	239	5	10	26%	7%	42	-2.9	198/277/298	100	282	8	10	30%	8%	65	-1.2	201/298/325	124	262	10	12	25%	10%	77	-0.1
✕Jhostynxon Garcia 2023 · A	20	38→41	41→50	48→50	45	182/267/286	104	281	8	8	35%	9%	59	-1.7	201/262/332	131	290	13	10	34%	6%	67	-1.1	219/271/366	148	290	19	9	30%	5%	75	-0.3
✕Brayan Buelvas 2023 · A	21	34→43	46→45	50→55	39	183/243/312	128	244	14	13	31%	6%	55	-1.9	192/254/310	118	276	11	18	33%	7%	59	-1.7	197/258/324	127	284	12	14	34%	7%	60	-1.1
✕Brandon Dailey 2013 · A	21	42	40→45	55	37	203/248/300	97	293	7	12	32%	5%	53	-2.1	194/247/296	102	286	9	6	34%	6%	53	-2.1	142/197/217	75	196	6	0	30%	5%	15	-1.1

Career Stats + Projections

Career Comps

Career Path Comps