Dasan Brown — OGILVIE

Dasan BrownCF Biloxi Shuckers

Age 24 R/R 6'0" / 205 lbs AA BB +10%HR +7% Svc 0.0 · Ctrl thru 2034

wRC+†44

AVG/OBP/SLG.179 / .251 / .264

PA296

HR4

SB18

K%35

BB%7

MLB%2%

Scouting · now → future

HIT

25→25

PWR

30→30

SPD

60→60

EYE

48↗50

trajectory · 10 yrs

-0.1peak

2029

Contract

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

Status MiLB

MLB Debut 2029

Service 0 yrs (est)

Team Control Through 2034

First FA Year 2035

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2029
2027	MiLB	still in minors · estimated debut 2029
2028	MiLB	still in minors · estimated debut 2029
2029	Arb-1	$0.8M	—	—	—
2030	Arb-2	$0.9M	—	—	—
2031	Arb-3	$0.9M	—	—	—
2032	Ext / FA-deal	$0.2M	—	—	—
2033	Ext / FA-deal	$0.4M	—	—	—
2034	Ext / FA-deal	$0.6M	—	—	—
Totals		$-1.0M		$-13M	-$12M

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
2019	17	ROK	GCL Blue Jays	63	48	7	1	1	0	6	25	9	6	2	.146	.349	.208	.558	.062	.304	40	10	.261	58	-3	+0	+0	+0	+2	-0.1
2021	19	A	Dunedin Blue Jays	226	203	35	6	1	3	15	93	8	22	6	.172	.257	.256	.513	.084	.299	41	7	.226	31	-18	+2	+0	+1	+6	-0.9
2022	20	A+	3 teams	360	318	70	14	2	5	22	142	17	24	10	.220	.305	.324	.629	.104	.378	39	6	.272	66	-14	+1	+0	+1	+10	-0.1
2023	21	A+	2 teams	545	495	82	11	4	5	31	185	14	30	12	.166	.235	.234	.470	.069	.249	34	6	.209	18	-50	+1	+0	+2	+15	-3.2
2024	22	A+	2 teams	448	403	73	14	2	6	30	157	12	35	4	.181	.258	.270	.529	.089	.278	35	7	.235	38	-31	+5	+0	+2	+13	-1.2
2025	23	AA	2 teams	291	259	38	6	1	4	24	113	4	36	4	.147	.230	.224	.454	.077	.238	39	8	.203	14	-28	+6	+0	+1	+8	-1.4
▸ 2026 Season (actual · ROS · total)
2026	24	AA	Biloxi Shuckers	51	43	9	0	0	0	6	17	1	4	3	.209	.320	.209	.529	.000	.346	33	12	.248	48	-3	-0	+0	+0	+1	-0.2
ROS	24	MLB	MIL	245	221	40	6	1	3	18	86	4	14	4	.181	.255	.258	.513	.077	.283	35	7	.242	44	-16	+1	+0	+1	+7	-0.7
TOT	24	MLB	MIL	296	264	49	6	1	3	24	103	5	18	7	.186	.266	.250	.516	.064	.289	35	8	.243	44	-19	+1	+0	+1	+8	-0.9
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	25	MLB 11%	MIL	345	307	61	10	2	5	29	105	6	19	5	.199	.281	.293	.574	.094	.274	30	8	.261	58	-17	+2	+0	+1	+10	-0.4
2028	26	MLB 26%	MIL	389	347	70	11	2	7	33	116	6	21	6	.202	.282	.305	.588	.104	.277	30	8	.268	64	-16	+2	+0	+1	+11	-0.2
2029	27	MLB 44%	MIL	404	359	73	12	2	7	35	119	7	22	6	.203	.287	.306	.593	.103	.277	29	9	.271	66	-16	+2	+0	+1	+11	-0.1
2030	28	MLB 53%	MIL	413	367	75	12	2	8	36	122	7	21	5	.204	.288	.313	.601	.109	.277	30	9	.271	66	-16	+2	-1	+1	+12	-0.1
2031	29	MLB 64%	MIL	409	363	73	12	2	7	36	122	7	20	5	.201	.286	.303	.589	.102	.277	30	9	.269	64	-17	+2	-1	+1	+12	-0.3
2032	30	MLB 73%	MIL	406	362	72	12	2	7	35	122	6	19	5	.199	.280	.301	.582	.102	.275	30	9	.266	62	-17	+2	-2	+1	+12	-0.5
2033	31	MLB 81%	MIL	393	350	68	11	2	6	34	120	6	16	4	.194	.277	.289	.565	.094	.273	31	9	.262	59	-18	+2	-3	+1	+11	-0.7
2034	32	MLB 88%	MIL	376	334	64	10	1	6	33	117	6	14	3	.192	.276	.281	.558	.090	.272	31	9	.258	56	-19	+2	-4	+1	+11	-0.9
2035	33	MLB 94%	MIL	347	309	58	9	1	5	30	110	5	11	2	.188	.270	.272	.542	.084	.270	32	9	.253	52	-19	+1	-4	+1	+10	-1.1
2036	34	MLB	MIL	303	269	50	8	1	4	26	99	5	9	2	.186	.270	.268	.538	.082	.268	33	9	.247	47	-18	+1	-5	+1	+9	-1.3
▸ Career Totals (MLE all levels + projections)
Career	—			5963	5314	1009	165	29	88	473	1953	129	339	85	.190	.272	.282	.554	.092	.279	33	8	.252	51	-332	+34	-20	+21	+169	-13.1
/ 162G	—			650	579	110	18	3	10	52	213	14	37	9	.190	.273	.283	.556	.093	.279	33	8	.252	51	-36	+4	-2	+2	+18	-1.4

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
2019	17	ROK	GCL Blue Jays	63	45	10	2	2	0	9	17	9	6	2	.222	.444	.356	.800	.133	.357	27	14	.383	151	+4	+0	—	—	+2	0.6
2021	19	A	Dunedin Blue Jays	226	198	42	8	1	4	20	74	8	22	6	.212	.310	.323	.633	.111	.317	33	9	.293	83	-4	+2	—	—	+6	0.4
2022	20	A+	Vancouver Canadians	176	151	45	11	0	2	14	50	10	11	3	.298	.394	.411	.805	.113	.430	28	8	.366	138	+8	+1	—	—	+5	1.4
2022	20	A	Dunedin Blue Jays	162	140	39	8	2	4	17	45	3	11	6	.279	.369	.450	.819	.171	.385	28	10	.361	135	+6	-0	—	—	+5	1.1
2022	20	ROK	FCL Blue Jays	22	16	3	1	0	0	2	7	4	2	1	.188	.409	.250	.659	.062	.333	32	9	.338	117	+0	+0	—	—	+1	0.1
2023	21	A+	Vancouver Canadians	463	403	88	12	3	7	41	116	13	26	11	.218	.309	.315	.625	.097	.286	25	9	.287	78	-12	+1	—	—	+13	0.2
2023	21	INTL	Surprise Saguaros	82	73	20	4	1	1	7	25	1	4	1	.274	.346	.397	.743	.123	.396	30	9	.331	111	+1	+0	—	—	+2	0.4
2024	22	AA	New Hampshire Fisher Cats	119	106	23	7	1	0	6	34	4	13	2	.217	.282	.302	.584	.085	.319	29	5	.263	60	-5	+2	—	—	+3	-0.0
2024	22	A+	Vancouver Canadians	329	280	72	15	2	8	39	79	8	22	2	.257	.363	.411	.774	.154	.330	24	12	.349	125	+9	+4	—	—	+9	2.3
2025	23	AAA	Buffalo Bisons	15	13	2	1	0	1	2	2	0	5	2	.154	.267	.462	.728	.308	.100	13	13	.317	101	+0	+0	—	—	+0	0.1
2025	23	AA	New Hampshire Fisher Cats	276	229	40	6	1	3	32	84	4	31	2	.175	.279	.249	.528	.074	.259	30	12	.246	47	-17	+5	—	—	+8	-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
Dasan Brown (OGILVIE)	24	25	30	60	50	.179/.251/.264	.085	.275	4	16	35%	7%	41	-1.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Braulio Vasquez 2022 · A	23	40	40	54→65	40	.192/.269/.282	.090	.299	8	28	36%	7%	53	-1.5	.216/.284/.315	.099	.302	7	27	29%	7%	67	-0.5	.225/.290/.320	.095	.304	4	32	25%	7%	66	-0.3
✕Jorge Mateo 2019 · AAA	24	39→46	42→50	60→65	36	.194/.237/.305	.111	.282	8	28	33%	5%	43	-2.2	.207/.246/.327	.120	.299	10	22	33%	4%	53	-1.5	.217/.264/.366	.149	.272	14	44	25%	5%	70	-0.2
✕Daniel Hinojosa 2009 · AAA	25	44	38→40	57→55	38	.208/.263/.282	.074	.311	6	26	34%	6%	49	-1.8	.232/.275/.320	.088	.308	5	20	25%	5%	63	-0.8	.249/.289/.333	.084	.321	4	20	23%	4%	69	-0.2
✕Jordyn Adams 2023 · AA	23	40→41	38→45	57→60	36	.188/.243/.264	.076	.303	6	23	38%	6%	36	-2.7	.199/.258/.305	.106	.306	10	30	36%	7%	53	-1.5	.194/.256/.310	.116	.294	12	32	36%	7%	52	-1.3
✕Stephen Wrenn 2019 · AA	24	41→43	40→45	56→60	39	.202/.253/.294	.093	.287	8	23	32%	6%	48	-1.9	.200/.260/.309	.109	.299	9	24	34%	6%	56	-1.3	.188/.254/.304	.116	.289	10	27	36%	6%	50	-1.1
✕Cooper Bowman 2023 · A	23	39→42	43→45	58→60	44	.194/.275/.303	.109	.285	11	30	34%	8%	61	-1.0	.204/.277/.322	.118	.283	12	35	30%	8%	67	-0.5	.200/.273/.320	.120	.271	12	40	29%	8%	62	-0.6
✕Ray-Patrick Didder 2019 · AA	24	42→46	38→45	54→60	39	.197/.273/.275	.078	.297	5	21	33%	6%	53	-1.5	.187/.267/.270	.083	.297	6	23	36%	7%	50	-1.8	.195/.280/.308	.112	.279	12	28	32%	8%	62	-0.6
✕Champ Stuart 2017 · AA	24	38→39	38→30	58→60	34	.173/.235/.244	.071	.321	6	25	45%	7%	28	-3.2	.182/.249/.266	.084	.323	7	30	42%	8%	40	-2.4	.162/.238/.241	.078	.279	8	41	41%	8%	27	-1.4
✕Sergio Garcia 2015 · AAA	24	44	41→45	54→60	35	.216/.251/.314	.098	.298	9	28	30%	4%	52	-1.6	.220/.248/.324	.104	.298	10	18	29%	3%	53	-1.5	.222/.248/.338	.115	.291	12	17	28%	3%	54	-0.6
✕Rudy Martin Jr. 2021 · AAA	25	36	41→45	55→60	34	.178/.235/.273	.095	.297	9	25	41%	6%	36	-2.7	.215/.292/.332	.117	.329	14	25	36%	9%	76	+0.0	.220/.298/.337	.116	.314	13	41	32%	9%	74	-0.0
✕Ashton Creal 2023 · A	24	39	41→40	54→55	39	.186/.263/.286	.100	.298	8	21	38%	7%	52	-1.6	.189/.265/.279	.090	.337	8	16	43%	7%	51	-1.7	.129/.221/.176	.047	.295	7	12	53%	7%	4	-1.1
✕Luis Aviles Jr. 2019 · AA	24	40→42	38→50	54→55	34	.196/.235/.274	.078	.299	6	22	36%	4%	34	-2.8	.204/.249/.294	.090	.309	8	25	35%	5%	46	-2.0	.197/.239/.349	.152	.266	18	22	33%	4%	55	-0.8
✕Delvin Zinn 2022 · AA	25	41→44	37→30	56→55	40	.198/.246/.263	.066	.269	5	30	28%	5%	37	-2.6	.186/.250/.259	.073	.267	5	28	30%	7%	39	-2.5	.114/.203/.150	.036	.179	0	39	33%	8%	-8	-1.3
✕Kenny Wilson 2014 · AA	24	46→50	38→40	57→60	43	.215/.284/.299	.085	.298	5	29	28%	7%	63	-0.8	.222/.278/.309	.087	.307	5	27	28%	6%	63	-0.9	.199/.267/.293	.094	.305	8	22	35%	7%	52	-0.6
✕Tyler Tolbert 2022 · A	24	39→48	39→45	66→65	43	.184/.268/.274	.090	.294	6	36	36%	9%	51	-1.7	.203/.263/.302	.099	.294	6	38	31%	7%	55	-1.4	.217/.271/.316	.099	.300	8	48	29%	5%	58	-0.9
✕Ronaldo Urdaneta 2022 · A	23	43	41→40	57→60	40	.203/.269/.298	.096	.321	9	24	38%	7%	56	-1.3	.188/.271/.269	.081	.305	6	20	37%	9%	51	-1.7	.098/.228/.122	.024	.176	0	28	38%	12%	-2	-1.2
✕Aaron Whitefield 2022 · AA	25	42→45	38→40	56→60	37	.197/.249/.275	.078	.308	6	29	36%	6%	41	-2.3	.212/.269/.327	.115	.325	11	31	36%	7%	64	-0.8	.197/.256/.327	.130	.308	13	40	38%	7%	56	-0.5
✕Wes Rogers 2019 · AA	25	45→51	39→40	59→65	42	.217/.269/.305	.088	.291	6	33	27%	6%	57	-1.2	.198/.256/.280	.082	.303	6	18	34%	7%	46	-2.0	.164/.230/.230	.066	.276	3	12	39%	7%	20	-1.8
✕Michael Siani 2023 · MLB	24	41→44	44→45	59→60	46	.206/.273/.319	.114	.266	11	32	26%	8%	64	-0.8	.205/.276/.305	.100	.278	9	28	28%	8%	62	-0.9	.195/.271/.283	.088	.272	8	30	29%	9%	52	-1.2
✕Todd Hankins 2015 · A	24	40→48	40	57→55	39	.192/.252/.282	.090	.291	7	25	35%	6%	45	-2.1	.206/.253/.296	.090	.297	7	20	32%	5%	48	-1.9	.200/.246/.281	.080	.295	7	22	33%	5%	38	-1.6

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)