Breyias Dean — OGILVIE

Breyias Dean3B FCL Marlins

Age 20 R/R 6'2" / 175 lbs ROK HR -10%H -3% Svc 0.0 · Ctrl thru 2037

2026 ROS PROJECTION169 act + 15 ros · stats below = ROS only

showingROS

wRC+†64

AVG/OBP/SLG.214 / .267 / .286

PA15

HR0

K%27

BB%7

BABIP262

ISO71

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$3M ctrl surplus

Tools · ContractCON 25 / POW 42

Toolsscout grade

CONTACT25

scouting grade only

POWER42

scouting grade only

EYE55

scouting grade only

SPEED54

scouting grade only

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

Status MiLB

MLB Debut 2032

Service 0 yrs (est)

Team Control Through 2037

First FA Year 2038

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2032
2027	MiLB	still in minors · estimated debut 2032
2028	MiLB	still in minors · estimated debut 2032
2029	MiLB	still in minors · estimated debut 2032
2030	MiLB	still in minors · estimated debut 2032
2031	MiLB	still in minors · estimated debut 2032
2032	Pre-Arb	$0.9M	+0.2	$0.5M	+$0.0M
2033	Pre-Arb	$1.0M	+0.2	$0.5M	+$0.0M
2034	Pre-Arb	$1.0M	+0.1	$0.2M	+$0.0M (cut)
2035	Arb-1	$0.8M	—	—	—
2036	Arb-2	$0.7M	—	—	—
2037	Ext	beyond projection horizon · no WAR estimate
Totals		$2M		$1M	+$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	17	ROK	DSL Miami	—	200	159	35	9	1	3	22	59	17	4	3	220	374	346	720	126	323	30	11	336	113	+3	-0	—	—	+4	0.7
2024	18	ROK	DSL Miami	—	170	132	34	6	0	2	24	49	12	9	1	258	414	348	763	91	390	29	14	359	129	+6	+1	—	—	+4	1.1
2025	19	ROK	FCL Marlins	—	137	123	27	6	1	4	10	42	3	2	2	220	294	382	676	163	295	31	7	301	90	-2	-0	—	—	+3	0.1
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2023	17	ROK MLE	DSL Miami	—	200	168	26	6	1	2	13	86	17	4	3	155	283	238	521	83	261	43	6	228	40	-14	-0	—	—	+4	-1.0
2024	18	ROK MLE	DSL Miami	—	170	142	23	3	0	1	15	69	12	9	1	162	296	204	500	42	291	41	9	231	42	-12	+1	—	—	+4	-0.7
2025	19	ROK MLE	FCL Marlins	—	137	127	17	3	0	3	6	61	3	2	2	134	191	228	420	94	218	45	4	188	13	-14	-0	—	—	+3	-1.2
2023	17	ROK MLE	DSL Miami	—	200	168	26	6	1	2	13	86	17	4	3	155	283	238	521	83	293	43	6	228	40	—	—	—	—	—	—
2023	17	ROK RAW	DSL Miami	—	200	159	35	9	1	3	22	59	17	4	3	220	374	346	720	126	323	30	11	336	40	—	—	—	—	—	—
2024	18	ROK MLE	DSL Miami	—	170	142	23	3	0	1	15	69	12	9	1	162	296	204	500	42	301	41	9	231	42	—	—	—	—	—	—
2024	18	ROK RAW	DSL Miami	—	170	132	34	6	0	2	24	49	12	9	1	258	414	348	763	91	390	29	14	359	42	—	—	—	—	—	—
2025	19	ROK MLE	FCL Marlins	—	137	127	17	3	0	3	6	61	3	2	2	134	191	228	420	94	219	45	4	188	13	—	—	—	—	—	—
2025	19	ROK RAW	FCL Marlins	—	137	123	27	6	1	4	10	42	3	2	2	220	294	382	676	163	295	31	7	301	13	—	—	—	—	—	—
2023	17	ROK MLE	DSL Miami	—	200	168	26	6	1	2	13	86	17	4	3	155	283	238	521	83	261	43	6	228	40	—	—	—	—	—	—
2024	18	ROK MLE	DSL Miami	—	170	141	23	3	0	1	15	69	12	9	1	163	296	206	502	43	291	41	9	231	42	—	—	—	—	—	—
2025	19	ROK MLE	FCL Marlins	—	137	127	17	3	0	3	6	61	3	2	2	134	191	228	420	94	218	45	4	188	13	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	17	ROK MLE	DSL Miami	—	200	168	26	6	1	2	13	86	17	4	3	155	283	238	521	83	261	43	6	228	40	—	—	—	—	—	—
2024	18	ROK MLE	DSL Miami	—	170	141	23	3	0	1	15	69	12	9	1	163	296	206	502	43	291	41	9	231	42	—	—	—	—	—	—
2025	19	ROK MLE	FCL Marlins	—	137	127	17	3	0	3	6	61	3	2	2	134	191	228	420	94	218	45	4	188	13	—	—	—	—	—	—
YTD	20	ROK MLE	MIA	—	169	143	27	5	1	3	17	61	3	7	2	189	288	301	589	112	282	36	10	264	65	-7	+1	+0	+1	+4	-0.2
▸ 2026 season
YTD	20	ROK RAW	MIA	—	169	132	34	7	1	4	28	42	3	7	2	258	399	417	815	159	326	25	17	358	65	—	—	—	—	—	—
ROS	20	ROK MLE	MIA	0%	15	14	3	1	0	0	1	4	0	0	0	214	267	286	552	71	269	27	7	262	64	-1	+0	+0	+0	+0	-0.0
TOT	20	ROK MLE	MIA	—	184	157	30	6	1	3	18	65	3	7	2	191	287	299	586	108	284	35	10	264	65	-8	+1	+0	+1	+4	-0.3
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	21	MLB MLE	MIA	34%	226	201	41	8	1	4	19	64	4	4	1	204	286	313	599	109	272	28	8	274	71	-8	+0	+0	+1	+5	-0.2
2028	22	MLB MLE	MIA	48%	345	307	64	12	2	7	29	95	6	7	2	208	289	329	618	121	274	28	8	281	76	-10	+1	+0	+1	+7	-0.0
2029	23	MLB MLE	MIA	54%	424	378	80	16	2	9	36	115	7	9	3	212	292	336	628	124	276	27	8	286	79	-10	+1	+0	+2	+9	0.1
2030	24	MLB MLE	MIA	55%	477	425	91	18	2	11	41	128	8	10	3	214	295	344	639	129	277	27	9	288	81	-11	+1	+0	+2	+10	0.2
2031	25	MLB MLE	MIA	56%	507	450	97	19	2	12	44	136	8	11	3	216	297	347	643	131	277	27	9	289	82	-11	+1	+0	+2	+11	0.3
2032	26	MLB MLE	MIA	56%	523	464	99	19	2	12	45	140	9	11	3	213	295	341	636	127	277	27	9	290	82	-11	+1	+0	+2	+11	0.3
2033	27	MLB MLE	MIA	55%	529	469	100	19	2	12	46	142	9	11	3	213	296	339	635	126	277	27	9	290	82	-11	+1	+0	+2	+11	0.3
2034	28	MLB MLE	MIA	59%	528	467	99	19	2	12	47	142	9	11	3	212	296	338	635	126	276	27	9	289	82	-12	+1	-1	+2	+11	0.2
2035	29	MLB MLE	MIA	61%	521	461	98	19	2	12	46	141	9	10	3	213	297	341	637	128	275	27	9	287	80	-12	+1	-1	+2	+11	0.0
2036	30	MLB MLE	MIA	62%	512	453	95	18	2	11	46	140	8	10	3	210	294	331	625	121	273	27	9	284	78	-13	+1	-2	+2	+11	-0.2
2027	21	MLB CTX	MIA	34%	78	70	13	3	0	1	7	22	1	2	0	186	269	271	541	86	264	28	9	254	71	-3	+0	+0	+0	+2	-0.0
2028	22	MLB CTX	MIA	48%	167	148	30	6	1	3	14	46	3	3	1	203	285	318	602	115	267	28	8	261	76	-5	+0	+0	+1	+4	-0.0
2029	23	MLB CTX	MIA	54%	230	204	43	8	1	5	20	62	4	5	1	211	294	333	627	123	268	27	9	266	79	-6	+1	+0	+1	+5	0.1
2030	24	MLB CTX	MIA	55%	264	235	49	9	1	6	23	71	4	5	2	209	290	332	622	123	269	27	9	269	81	-6	+0	+0	+1	+6	0.1
2031	25	MLB CTX	MIA	56%	284	253	52	10	1	6	24	76	5	6	2	206	287	324	611	119	269	27	8	270	82	-6	+0	+0	+1	+6	0.2
2032	26	MLB CTX	MIA	56%	294	262	54	10	1	6	25	79	5	6	2	206	288	321	608	115	269	27	9	270	82	-6	+0	+0	+1	+6	0.2
2033	27	MLB CTX	MIA	55%	293	260	53	10	1	6	26	79	5	6	2	204	289	319	608	115	269	27	9	270	82	-6	+0	+0	+1	+6	0.2
2034	28	MLB CTX	MIA	59%	312	276	58	11	1	7	28	84	5	6	2	210	294	333	628	123	268	27	9	269	82	-7	+0	-0	+1	+7	0.1
2035	29	MLB CTX	MIA	61%	317	281	58	11	1	7	28	86	5	6	2	206	290	327	617	121	267	27	9	267	80	-7	+0	-1	+1	+7	0.0
2036	30	MLB CTX	MIA	62%	318	282	57	10	1	7	28	87	5	6	2	202	286	319	605	117	266	27	9	265	78	-8	+0	-1	+1	+7	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2557	2271	467	88	9	54	223	692	42	51	16	206	289	324	612	118	269	27	9	267	75	-60	+4	-3	+9	+55	0.6
/ 162G	—	A+C		—	650	577	118	22	2	14	57	176	11	13	4	205	288	322	611	118	267	27	9	267	75	-15	+1	-1	+2	+14	0.2
Career	—	MLE		—	5114	4526	933	180	20	108	434	1463	109	109	33	206	291	326	618	120	276	29	8	280	75	-109	+8	-4	+16	+100	1.1
/ 162G	—	MLE		—	650	575	119	23	3	14	55	186	14	14	4	207	292	330	622	123	277	29	8	280	75	-15	+1	-1	+2	+14	0.2

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Gordon Beckhamlast yr '19 career totals — 10 seasons, 3,764 PA	5.7	3,764	80	34	237	301	368	+13	+19	8.2	8.4
/162	664	14	6	+2.4	+3.4	1.4	pk7: 9
#2Jace Petersonlast yr '23 career totals — 10 seasons, 2,753 PA	4.1	2,753	42	77	228	318	337	+4	+5	5.3	6.0
/162	664	10	19	+1.0	+1.3	1.3	pk7: 7
#3Chris 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
#4Adam 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
#5Dustin Ackleylast yr '16 career totals — 6 seasons, 2,347 PA	3.5	2,347	46	31	241	304	367	-5	+7	3.8	3.8
/162	664	13	9	-1.3	+1.9	1.1	pk7: 4
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 6 projected seasons	4.0	2,687	59	54	213	291	338	+10	+3	2.4	2.3
/162	664	15	13	+2.4	+0.7	0.6	pk7: 2
#6Nick Senzellast yr '24 career totals — 6 seasons, 1,633 PA	2.5	1,633	40	33	232	299	363	+6	-14	0.9	0.9
/162	664	16	13	+2.4	-5.8	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
Breyias Dean (OGILVIE)	20	20→25	37→42	49→54	55	194/274/293	100	269	2	3	29%	8%	64	-0.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕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
✕Emilio King 2010 · A	20	40	37→45	51→40	43	190/274/270	79	258	4	9	26%	6%	58	-1.7	202/252/288	86	301	6	4	33%	4%	53	-2.1	211/249/305	94	308	7	2	33%	3%	52	-1.1
✕Janelfry Zorrilla 2011 · A	20	41	40→45	50	42	202/257/291	89	262	7	13	26%	6%	55	-2.0	224/279/352	128	280	13	10	24%	6%	78	-0.3	225/276/353	127	282	14	8	25%	5%	75	-0.2
✕Christian Cerda 2023 · A	20	41→37	39→45	50→40	51	195/281/288	93	256	6	9	25%	10%	65	-1.2	193/287/297	104	256	11	4	27%	11%	69	-0.9	180/276/283	102	231	12	2	26%	11%	61	-1.1
✕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
✕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
✕Jeter Downs 2018 · A	20	42→40	43→50	47→55	47	208/276/316	107	257	11	9	23%	7%	68	-1.0	211/277/351	140	270	15	17	27%	7%	78	-0.3	171/263/306	134	238	15	26	33%	8%	61	-0.7
✕Zack Larson 2014 · A	20	46→36	41→45	53→50	41	222/281/319	97	293	8	13	26%	6%	71	-0.8	201/256/267	66	276	3	10	27%	6%	49	-2.4	183/239/232	49	254	1	10	26%	5%	34	-1.9
✕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
✕Albertson Asigen 2022 · A	20	43	40	53→55	44	206/261/303	97	274	6	6	27%	7%	59	-1.7	224/297/299	75	327	4	17	30%	8%	72	-0.7	212/299/299	88	345	7	27	37%	9%	70	-0.3
✕Maximo Rivera 2012 · A	19	35	41→45	47→60	41	179/238/272	93	242	10	13	30%	6%	44	-2.8	221/272/301	80	288	7	19	24%	6%	63	-1.4	235/283/299	64	303	5	24	23%	5%	64	-0.4
✕Adrian Abreu 2012 · A	21	39	38→40	47→55	47	190/263/273	82	247	5	9	24%	8%	53	-2.1	212/292/300	88	256	8	17	19%	9%	71	-0.8	209/299/290	80	241	9	25	16%	10%	70	-0.3
✕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
✕Gilberto Vizcarra 2019 · A	20	35	38→45	47→40	46	171/243/241	71	215	6	3	23%	7%	40	-3.1	206/263/285	79	260	5	4	22%	6%	56	-1.9	227/270/319	92	275	7	1	19%	4%	65	-0.4
✕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
✕Juan Mora 2021 · A	21	43	42→45	53→55	49	209/289/317	108	255	9	14	21%	8%	74	-0.5	227/292/341	114	308	10	10	28%	6%	80	-0.1	222/278/328	106	295	10	8	27%	5%	70	-0.4
✕Jose Cordoba 2023 · A	20	38	42→40	44→55	39	190/253/289	99	277	10	9	34%	6%	54	-2.0	206/263/300	94	283	6	11	28%	6%	59	-1.6	204/262/298	94	272	5	15	25%	6%	56	-0.8
✕Luis Torrens 2016 · A	20	43→48	38→50	49→40	44	204/275/284	80	281	6	6	28%	7%	61	-1.5	210/273/293	83	267	6	4	22%	7%	62	-1.4	237/296/380	143	283	15	2	21%	6%	89	+0.2
✕Jose Bellorin 2011 · A	20	42	39→40	47→50	42	203/257/285	81	265	6	10	25%	6%	53	-2.1	223/280/308	85	271	6	9	19%	6%	68	-1.0	239/295/316	78	276	6	10	15%	6%	73	-0.3
✕Robert Gonzalez 2021 · A	20	42	40→45	54→60	47	195/295/296	102	308	7	8	35%	10%	72	-0.7	202/299/283	81	274	6	17	26%	10%	71	-0.8	180/307/230	50	224	5	30	19%	12%	61	-0.5

Career Stats + Projections

Career Comps

Career Path Comps