Bracewell Taveras

Bracewell TaverasSS FCL Cardinals

Age 20 S/R 6'0" / 182 lbs ROK HR -7%K -4% Svc 0.0 · Ctrl thru 2037 peak 1.9 · 2032

wRC+†58

AVG/OBP/SLG.209 / .265 / .308

PA165

HR2

K%28

BB%6

MLB%0%

Scouting · now → future

HIT

35→35

PWR

20→20

SPD

55→55

EYE

35↘25

trajectory · 10 yrs

1.9peak

2032

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	Ext / FA-deal	$0.9M	+1.9	$18M	+$17M
2033	Ext / FA-deal	$1.0M	+1.9	$19M	+$18M
2034	Ext / FA-deal	$1.0M	+1.8	$18M	+$17M
2035	Ext / FA-deal	$3M	+1.6	$17M	+$13M
2036	Ext / FA-deal	$5M	+1.4	$15M	+$10M
2037	Ext / FA-deal	$5M	+1.1	$12M	+$7M
Totals		$16M		$99M	+$83M

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
2023	17	ROK	DSL Cardinals	180	172	22	5	0	3	4	49	3	2	0	.128	.162	.209	.371	.081	.157	27	2	.163	-17	-24	+0	+0	+2	+5	-1.7
2024	18	ROK	DSL Cardinals	114	109	25	1	1	1	3	32	0	2	0	.229	.250	.284	.534	.055	.308	28	3	.230	34	-8	+0	+0	+1	+3	-0.4
2025	19	ROK	FCL Cardinals	195	182	32	5	0	1	9	66	3	13	0	.176	.227	.220	.447	.044	.267	34	5	.195	7	-20	+3	+0	+2	+6	-1.0
▸ 2026 Season
2026	20	MLB	STL	165	152	32	6	1	2	10	46	2	3	1	.211	.268	.303	.571	.092	.282	28	6	.261	58	-8	+0	+0	+2	+5	-0.1
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	21	MLB 11%	STL	242	220	48	9	1	5	17	64	3	5	1	.218	.283	.336	.620	.118	.284	26	7	.280	72	-8	+1	+0	+3	+7	0.2
2028	22	MLB 28%	STL	358	324	74	14	2	8	27	91	4	8	2	.228	.296	.358	.654	.130	.285	25	8	.291	81	-8	+1	+0	+4	+10	0.7
2029	23	MLB 48%	STL	436	394	90	17	2	11	34	108	5	10	2	.228	.298	.365	.663	.137	.286	25	8	.298	87	-7	+1	+0	+5	+12	1.2
2030	24	MLB 62%	STL	488	440	103	19	3	13	40	119	5	11	2	.234	.305	.380	.685	.145	.287	24	8	.303	90	-5	+1	+0	+5	+14	1.5
2031	25	MLB 80%	STL	517	463	109	20	3	14	43	125	6	12	2	.235	.309	.382	.691	.147	.287	24	8	.306	93	-4	+2	+0	+6	+15	1.8
2032	26	MLB 94%	STL	533	476	112	21	3	14	46	129	6	12	2	.235	.311	.380	.691	.145	.288	24	9	.308	94	-4	+2	+0	+6	+15	1.9
2033	27	MLB	STL	539	481	113	21	3	15	47	131	6	12	2	.235	.311	.385	.695	.150	.288	24	9	.308	94	-4	+2	+0	+6	+15	1.9
2034	28	MLB	STL	538	480	112	21	3	14	47	131	6	11	2	.233	.310	.377	.687	.144	.287	24	9	.307	93	-4	+1	-1	+6	+15	1.8
2035	29	MLB	STL	530	472	109	20	3	14	47	131	6	11	1	.231	.309	.375	.684	.144	.286	25	9	.305	92	-5	+2	-1	+6	+15	1.6
2036	30	MLB	STL	521	464	106	20	2	13	46	130	6	10	1	.228	.306	.364	.670	.136	.285	25	9	.302	89	-6	+2	-2	+6	+15	1.4
2037	31	MLB	STL	508	453	102	19	2	13	45	129	5	9	0	.225	.302	.362	.664	.137	.284	25	9	.298	86	-8	+2	-3	+5	+14	1.1
2038	32	MLB	STL	490	439	97	18	2	12	43	127	5	8	0	.221	.298	.353	.651	.132	.282	26	9	.293	83	-10	+2	-4	+5	+14	0.8
2039	33	MLB	STL	461	413	89	16	2	10	40	123	5	7	0	.215	.293	.337	.629	.121	.281	27	9	.288	78	-11	+1	-4	+5	+13	0.4
2040	34	MLB	STL	415	372	79	14	2	9	36	114	4	7	0	.212	.289	.333	.622	.121	.279	27	9	.281	74	-12	+1	-5	+4	+12	0.0
2041	35	MLB	STL	361	323	67	12	2	7	31	103	4	6	0	.207	.285	.322	.607	.115	.277	29	9	.274	68	-13	+1	-6	+4	+10	-0.4
▸ Career Totals (MLE all levels + projections)
Career	—			7591	6829	1521	278	37	179	615	1948	84	159	18	.223	.295	.353	.648	.130	.283	26	8	.290	80	-170	+25	-25	+81	+215	12.9
/ 162G	—			650	585	130	24	3	15	53	167	7	14	2	.222	.295	.350	.645	.128	.283	26	8	.290	80	-15	+2	-2	+7	+18	1.1

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	AVG	OBP	SLG	OPS	ISO	BABIP	K%	BB%	wOBA	wRC+	BAT	RUN	FLD	POS	REP	WAR
2023	17	ROK	DSL Cardinals	180	169	35	10	0	4	7	32	3	2	.207	.251	.337	.589	.130	.231	18	4	.263	59	-8	+0	—	—	+5	-0.3
2024	18	ROK	DSL Cardinals	114	107	35	2	1	2	5	22	0	2	.327	.357	.421	.778	.093	.388	19	4	.342	120	+3	+0	—	—	+3	0.6
2025	19	ROK	FCL Cardinals	195	177	45	8	0	1	14	46	3	13	.254	.320	.316	.636	.062	.336	24	7	.292	82	-4	+3	—	—	+6	0.4

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
Bracewell Taveras (OGILVIE)	20	35	20	55	25	.209/.265/.308	.099	.282	2	3	28%	6%	58	-0.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Jeremy Arocho 2018 · A	19	43	38→30	52→60	41	.205/.262/.288	.083	.287	4	12	29%	6%	50	-1.7	.223/.282/.290	.067	.291	2	11	22%	7%	59	-1.1	.224/.333/.269	.045	.305	1	34	23%	14%	74	-0.0
✕Dalton Pompey 2013 · A	20	40→50	40→45	55	44	.197/.264/.289	.093	.275	8	16	30%	8%	53	-1.5	.236/.299/.340	.104	.314	7	24	25%	8%	79	+0.3	.253/.315/.362	.109	.325	7	28	23%	8%	88	+0.8
✕Shawn O'Malley 2008 · A	20	42→52	36→40	50→60	41	.198/.262/.265	.067	.281	4	11	29%	6%	45	-2.1	.210/.283/.263	.053	.291	1	23	26%	7%	53	-1.5	.259/.321/.357	.098	.322	5	23	20%	7%	89	+0.6
✕Junior Valera 2013 · A	20	42	36→40	51→60	45	.197/.267/.267	.070	.277	2	10	28%	8%	47	-1.9	.224/.288/.307	.083	.291	3	18	22%	8%	66	-0.6	.245/.308/.338	.094	.307	3	28	20%	8%	77	+0.1
✕Chace Numata 2013 · A	20	44	37→40	49→40	44	.208/.272/.282	.074	.287	4	8	28%	7%	53	-1.5	.213/.262/.285	.072	.257	5	5	18%	5%	50	-1.8	.250/.301/.323	.073	.295	3	2	16%	6%	73	-0.1
✕Juan Mosquera 2007 · A	19	39	35→30	49→55	44	.184/.249/.245	.061	.269	3	14	31%	8%	34	-2.8	.201/.291/.247	.046	.283	1	15	26%	10%	53	-1.5	.210/.308/.237	.027	.280	0	17	22%	11%	56	-0.4
✕Arquímedes Gamboa 2018 · A	20	41→43	40	53→50	42	.201/.245/.292	.092	.253	8	9	24%	6%	44	-2.1	.187/.255/.257	.070	.273	4	11	30%	8%	40	-2.4	.195/.282/.288	.093	.289	8	15	32%	10%	56	-0.7
✕Ian Lewis Jr. 2023 · A	20	47→40	40	56→55	43	.223/.279/.318	.095	.302	7	17	28%	6%	65	-0.7	.211/.272/.306	.095	.291	7	22	28%	7%	59	-1.1	.209/.274/.312	.103	.279	7	30	26%	7%	59	-0.7
✕Jenner Emeterio 2013 · A	20	45	38→30	48→60	46	.214/.278/.298	.084	.285	5	12	26%	8%	60	-1.0	.216/.302/.277	.061	.288	3	24	23%	10%	66	-0.6	.216/.317/.260	.044	.285	1	34	22%	12%	65	-0.3
✕Bryan Rincon 2023 · A	19	43→42	45→40	53→65	45	.213/.281/.336	.123	.279	13	11	28%	8%	72	-0.2	.194/.288/.298	.104	.270	9	21	29%	10%	66	-0.6	.165/.260/.259	.093	.238	9	30	32%	10%	44	-1.1
✕Allan Castro 2023 · A	20	38→43	40→45	54→50	40	.186/.249/.285	.099	.276	6	8	33%	6%	44	-2.1	.202/.269/.315	.113	.278	9	12	29%	8%	61	-1.0	.202/.273/.316	.115	.271	10	14	28%	8%	60	-0.8
✕Brainer Bonaci 2022 · A	20	41→45	39→45	52→50	43	.198/.256/.287	.089	.268	5	14	27%	6%	48	-1.9	.215/.286/.321	.106	.298	9	14	28%	9%	69	-0.4	.217/.289/.327	.111	.294	11	14	28%	9%	70	-0.2
✕Freizer Pedron 2007 · A	20	44	37→40	48→55	42	.208/.263/.284	.076	.278	4	12	26%	6%	50	-1.8	.229/.294/.302	.073	.305	3	16	24%	7%	68	-0.5	.262/.328/.337	.075	.341	2	29	22%	6%	87	+0.3
✕Juan Brito 2022 · A	20	45→48	42→50	49→45	46	.222/.285/.324	.103	.281	10	12	24%	7%	70	-0.3	.230/.313/.368	.138	.279	13	9	21%	10%	94	+1.3	.226/.311/.371	.145	.266	15	9	20%	10%	91	+1.0
✕Jose Lobatón 2006 · A	21	45	39→45	50→30	46	.215/.277/.302	.088	.284	6	8	25%	8%	60	-1.0	.215/.286/.335	.120	.300	12	3	30%	9%	73	-0.1	.241/.325/.370	.129	.305	12	0	23%	11%	94	+0.6
✕Adrian Abreu 2011 · A	20	43	37→40	52→55	44	.206/.261/.284	.078	.265	4	10	23%	6%	49	-1.8	.204/.281/.290	.086	.252	7	15	21%	9%	60	-1.0	.194/.284/.274	.080	.231	8	20	19%	10%	56	-0.4
✕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
✕Angel Martínez 2022 · A	20	42→48	40→50	49→50	44	.205/.261/.303	.099	.264	7	10	25%	7%	54	-1.4	.223/.284/.349	.126	.283	12	10	24%	7%	76	+0.1	.227/.291/.359	.132	.280	13	10	23%	7%	80	+0.3
✕Emmanuel Morel 2017 · A	20	40	34→30	50→55	45	.186/.262/.242	.056	.286	2	15	33%	9%	39	-2.5	.194/.260/.258	.064	.316	2	14	36%	7%	42	-2.3	.183/.249/.232	.049	.297	0	21	35%	6%	27	-0.8
✕Maximo Rivera 2012 · A	19	36	41→45	47→60	41	.181/.239/.272	.091	.247	9	13	30%	6%	37	-2.6	.219/.271/.301	.082	.284	7	20	24%	6%	57	-1.2	.234/.281/.297	.063	.300	5	24	23%	5%	58	-0.3

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)