Yasmil Bucce — OGILVIE

Yasmil BucceC Delmarva Shorebirds

Age 21 L/R 5'10" / 168 lbs A HR +8%BB -5% Svc 0.0 · Ctrl thru 2036 peak 2.3 · 2031

wRC+†73

AVG/OBP/SLG.202 / .288 / .325

PA320

HR7

K%32

BB%10

MLB%0%

Scouting · now → future

HIT

40→40

PWR

40→40

SPD

40→40

EYE

63↘60

trajectory · 10 yrs

2.3peak

2031

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	Arb-3	$0.9M	+2.3	$21M	+$20M
2032	Ext / FA-deal	$0.9M	+2.3	$22M	+$21M
2033	Ext / FA-deal	$1.0M	+2.2	$22M	+$21M
2034	Ext / FA-deal	$4M	+2.0	$20M	+$16M
2035	Ext / FA-deal	$6M	+1.8	$19M	+$13M
2036	Ext / FA-deal	$7M	+1.5	$16M	+$9M
Totals		$20M		$120M	+$100M

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
2021	16	ROK	DSL Orioles 2	86	76	14	1	1	0	7	25	3	0	0	.184	.279	.224	.503	.039	.275	29	8	.225	30	-7	+0	+0	+2	+2	-0.3
2022	17	ROK	DSL BAL Black	117	106	17	4	0	2	9	32	1	1	0	.160	.233	.255	.487	.094	.205	27	8	.226	31	-9	+0	+0	+2	+3	-0.4
2023	18	ROK	FCL Orioles	74	68	14	3	1	1	5	31	1	0	0	.206	.270	.324	.594	.118	.361	42	7	.238	40	-5	+0	+0	+1	+2	-0.2
2024	19	ROK	FCL Orioles	94	73	11	2	0	1	15	28	4	1	0	.151	.326	.219	.545	.068	.217	30	16	.257	55	-5	+0	+0	+2	+3	-0.0
2025	20	A	2 teams	394	342	69	12	3	8	44	143	6	2	1	.202	.304	.325	.628	.123	.316	36	11	.278	71	-13	+0	+0	+7	+11	0.5
▸ 2026 Season
2026	21	MLB	BAL	320	283	58	11	2	7	30	103	4	4	1	.205	.290	.332	.622	.127	.289	32	9	.281	73	-10	+0	+0	+6	+9	0.6
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	22	MLB 11%	BAL	434	383	81	15	2	11	43	133	5	6	2	.211	.299	.347	.647	.136	.290	31	10	.293	82	-9	+0	+0	+8	+12	1.2
2028	23	MLB 28%	BAL	491	433	93	17	2	13	49	145	6	7	2	.215	.303	.353	.657	.139	.290	30	10	.301	88	-6	+1	+0	+9	+14	1.7
2029	24	MLB 45%	BAL	520	456	102	19	3	15	53	150	6	8	2	.224	.313	.377	.690	.154	.291	29	10	.306	92	-4	+1	+0	+9	+15	2.1
2030	25	MLB 60%	BAL	520	455	102	19	3	15	54	149	6	7	2	.224	.315	.378	.693	.154	.292	29	10	.310	95	-3	+1	+0	+9	+15	2.2
2031	26	MLB 77%	BAL	520	454	102	19	3	15	55	149	6	7	1	.225	.317	.379	.695	.154	.292	29	11	.311	96	-2	+1	+0	+9	+15	2.3
2032	27	MLB 92%	BAL	520	453	102	19	3	15	56	149	6	7	1	.225	.318	.380	.698	.155	.292	29	11	.311	96	-2	+1	+0	+9	+15	2.3
2033	28	MLB	BAL	520	453	100	19	2	15	56	150	6	6	1	.221	.315	.371	.685	.150	.292	29	11	.310	96	-3	+1	-1	+9	+15	2.2
2034	29	MLB	BAL	520	453	99	18	2	15	56	152	6	6	1	.219	.313	.366	.679	.148	.291	29	11	.308	94	-4	+1	-1	+9	+15	2.0
2035	30	MLB	BAL	520	452	98	18	2	15	57	153	6	5	0	.217	.313	.365	.678	.148	.289	29	11	.305	92	-5	+1	-2	+9	+15	1.8
2036	31	MLB	BAL	504	438	94	17	2	14	55	151	6	4	0	.215	.311	.358	.669	.144	.288	30	11	.301	89	-6	+1	-3	+9	+14	1.5
2037	32	MLB	BAL	475	415	87	16	2	12	51	145	6	3	0	.210	.305	.345	.650	.135	.286	31	11	.297	85	-8	+1	-4	+8	+13	1.1
2038	33	MLB	BAL	432	377	78	14	2	11	47	134	5	3	0	.207	.303	.342	.645	.135	.285	31	11	.291	81	-9	+1	-4	+8	+12	0.7
2039	34	MLB	BAL	378	330	67	12	2	9	41	121	4	2	0	.203	.299	.333	.632	.130	.283	32	11	.285	76	-10	+0	-5	+7	+11	0.3
2040	35	MLB	BAL	318	278	55	10	1	7	34	105	3	2	0	.198	.292	.317	.609	.119	.280	33	11	.277	70	-11	+0	-6	+6	+9	-0.1
2041	36	MLB	BAL	258	226	42	7	1	5	27	88	3	2	0	.186	.281	.292	.573	.106	.277	34	10	.268	63	-11	+0	-6	+5	+7	-0.5
▸ Career Totals (MLE all levels + projections)
Career	—			8015	7004	1485	272	39	206	844	2436	99	83	14	.212	.306	.350	.656	.138	.290	30	11	.296	84	-142	+11	-31	+143	+227	21.2
/ 162G	—			650	568	121	22	3	17	68	198	8	7	1	.213	.306	.352	.658	.139	.291	30	10	.296	84	-11	+1	-3	+12	+18	1.7

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
2021	16	ROK	DSL Orioles 2	86	72	17	2	1	0	11	17	3	0	0	.236	.360	.292	.652	.056	.309	20	13	.311	96	-0	+0	—	—	+2	0.2
2022	17	ROK	DSL BAL Black	117	100	23	5	0	2	15	21	1	1	0	.230	.336	.340	.676	.110	.269	18	13	.310	95	-1	+0	—	—	+3	0.3
2023	18	ROK	FCL Orioles	74	63	19	4	1	1	10	20	1	0	0	.302	.405	.444	.850	.143	.429	27	14	.383	151	+4	+0	—	—	+2	0.6
2024	19	ROK	FCL Orioles	94	65	12	2	0	1	23	21	4	1	0	.185	.424	.262	.685	.077	.244	22	24	.338	117	+2	+0	—	—	+3	0.5
2025	20	A+	Aberdeen IronBirds	55	44	7	0	0	0	9	20	1	0	0	.159	.315	.159	.474	.000	.280	36	16	.243	44	-3	+0	—	—	+2	-0.2
2025	20	A	Delmarva Shorebirds	339	271	69	13	3	8	62	82	5	2	1	.255	.402	.413	.816	.159	.335	24	18	.371	142	+16	+0	—	—	+10	2.6

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
Yasmil Bucce (OGILVIE)	21	40	40	40	60	.202/.288/.325	.123	.289	7	4	32%	10%	73	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Randy Florentino 2021 · A	21	43	41→50	42→45	48	.206/.286/.310	.104	.297	8	6	31%	10%	67	-0.5	.180/.241/.263	.083	.269	8	5	34%	7%	36	-2.7	.183/.230/.260	.077	.238	8	4	26%	5%	28	-1.0
✕Jose Lobatón 2007 · A	22	44	42→45	43→30	47	.212/.290/.319	.108	.298	9	5	30%	9%	71	-0.3	.217/.282/.343	.126	.297	13	3	29%	8%	74	-0.1	.241/.325/.370	.129	.305	12	0	23%	11%	94	+0.6
✕Daniel Vellojin 2023 · AA	23	40	46→45	42→45	52	.200/.296/.328	.127	.281	14	6	32%	12%	76	+0.1	.179/.260/.279	.100	.257	10	6	32%	9%	49	-1.8	.150/.230/.230	.080	.212	8	4	32%	9%	21	-1.6
✕Omar Martinez 2023 · A	22	41→38	43→45	42→40	46	.202/.287/.312	.110	.290	11	5	32%	9%	69	-0.4	.196/.277/.322	.126	.291	15	5	35%	9%	67	-0.5	.180/.261/.303	.123	.268	16	3	37%	9%	53	-1.1
✕Johnny Monell 2008 · A	22	44	43→50	44→45	47	.214/.288/.327	.113	.283	10	8	27%	8%	72	-0.2	.229/.290/.359	.130	.285	12	8	23%	7%	81	+0.4	.216/.285/.360	.143	.285	15	3	28%	8%	78	+0.2
✕Isan Díaz 2017 · A	21	41→40	46→55	45	43	.207/.273/.343	.136	.289	13	8	32%	8%	70	-0.3	.201/.272/.338	.137	.290	15	8	34%	8%	69	-0.4	.204/.284/.367	.164	.263	21	5	30%	9%	75	+0.0
✕Carter Jensen 2023 · A	20	38→47	43→50	46→50	46	.188/.269/.299	.110	.273	10	7	33%	10%	58	-1.2	.198/.288/.331	.133	.275	13	9	30%	11%	74	-0.1	.206/.294/.357	.151	.275	17	10	30%	11%	81	+0.4
✕Darrien Miller 2022 · A	21	44→40	45	49→45	47	.214/.307/.328	.114	.289	13	8	29%	9%	82	+0.5	.195/.298/.311	.116	.261	12	6	28%	9%	75	-0.0	.175/.290/.274	.099	.238	9	4	28%	10%	60	-0.7
✕Colson Montgomery 2023 · AA	21	46→45	43→55	44→45	45	.224/.295/.333	.109	.302	11	3	28%	8%	77	+0.1	.211/.296/.354	.143	.289	16	5	31%	9%	84	+0.6	.194/.281/.363	.169	.262	21	4	33%	8%	77	+0.1
●Bo Naylor 2021 · A	21	41→43	44→55	50	43	.203/.259/.325	.122	.273	11	7	29%	7%	59	-1.1	.199/.278/.352	.153	.276	18	12	33%	9%	75	-0.0	.216/.308/.399	.183	.269	22	12	28%	11%	97	+1.2
✕Alexander Campos 2022 · A	22	43	42→40	46→45	48	.209/.289/.317	.108	.281	9	6	28%	9%	70	-0.3	.221/.304/.311	.090	.312	8	6	29%	9%	75	-0.0	.236/.329/.308	.072	.330	7	6	28%	11%	83	+0.2
✕Drew Robinson 2013 · A	21	44→41	43→55	46→50	46	.210/.293/.320	.110	.311	10	9	33%	9%	73	-0.1	.194/.270/.320	.126	.290	12	9	35%	9%	63	-0.8	.207/.288/.362	.155	.320	17	12	37%	10%	78	+0.1
✕Luis Toribio 2021 · A	20	43→39	43→50	44→40	49	.206/.297/.319	.114	.304	10	6	33%	11%	75	-0.0	.184/.256/.297	.113	.305	12	3	40%	8%	51	-1.7	.156/.227/.288	.133	.253	17	0	44%	8%	35	-1.7
✕Canaan Smith-Njigba 2019 · A	20	45→47	41→45	46→55	51	.216/.301/.314	.097	.294	9	7	28%	10%	74	-0.1	.227/.294/.343	.116	.313	11	10	29%	8%	79	+0.3	.228/.299/.352	.124	.336	11	21	33%	9%	80	+0.2
✕John Whittleman 2008 · A	21	41→43	44→50	43→45	49	.205/.279/.324	.118	.270	11	6	27%	9%	67	-0.5	.200/.281/.316	.116	.274	11	3	28%	10%	67	-0.5	.170/.259/.320	.149	.231	18	1	33%	11%	57	-0.9
✕Nick Weglarz 2009 · A	21	44→47	49→50	45	48	.224/.300/.370	.146	.291	16	5	28%	9%	89	+0.9	.223/.312/.380	.157	.280	17	5	25%	10%	96	+1.5	.212/.313/.377	.165	.261	18	2	25%	11%	95	+0.7
✕Carlos Rodriguez 2023 · A	20	38	40→45	47→45	45	.183/.271/.272	.089	.286	7	6	36%	10%	52	-1.6	.190/.265/.267	.077	.298	5	6	35%	9%	47	-1.9	.182/.268/.267	.085	.274	6	3	33%	10%	48	-0.6
✕Rudy van Heydoorn 2009 · A	20	40	43→45	43→50	47	.193/.290/.298	.105	.281	11	10	32%	10%	67	-0.5	.182/.264/.285	.103	.284	10	6	37%	8%	52	-1.6	.153/.236/.254	.101	.237	11	2	38%	9%	32	-0.9
✕Max Stassi 2012 · A	21	40→43	44→55	43→40	41	.198/.260/.309	.111	.287	12	5	34%	7%	56	-1.3	.218/.270/.362	.144	.290	17	4	30%	5%	74	-0.1	.208/.295/.359	.151	.271	20	0	30%	10%	81	+0.2
✕Zack Collins 2017 · A	22	46→42	46→50	47→40	48	.216/.304/.347	.131	.336	14	6	37%	11%	85	+0.7	.190/.285/.334	.144	.301	16	3	38%	11%	74	-0.1	.196/.301/.351	.156	.289	18	2	35%	13%	83	+0.4

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)