Roosbert Tapia — OGILVIE

Roosbert Tapia2B FCL Rays

Age 21 R/R 6'2" / 177 lbs ROK Svc 0.0 · Ctrl thru 2037 peak 1.8 · 2032

wRC+†76

AVG/OBP/SLG.226 / .290 / .336

PA102

HR2

K%24

BB%7

MLB%0%

Scouting · now → future

HIT

55↗60

PWR

31↗36

SPD

49↗54

EYE

37↗42

trajectory · 10 yrs

1.8peak

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	+1.8	$17M	+$16M
2033	Ext / FA-deal	$1.0M	+1.7	$17M	+$16M
2034	Ext / FA-deal	$1.0M	+1.5	$15M	+$14M
2035	Ext / FA-deal	$3M	+1.3	$14M	+$11M
2036	Ext / FA-deal	$4M	+1.1	$12M	+$8M
2037	Ext / FA-deal	$4M	+0.8	$4M	+$0.5M
Totals		$13M		$79M	+$66M

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
2022	17	ROK	DSL Rays	203	192	28	6	0	1	7	70	3	9	2	.146	.188	.193	.381	.047	.223	34	3	.171	-11	-25	+1	+0	+1	+6	-1.8
2023	18	ROK	DSL Tampa Bay	166	150	30	3	2	0	13	45	2	11	0	.200	.273	.247	.519	.047	.283	27	8	.235	38	-12	+2	+0	+1	+5	-0.4
2024	19	ROK	DSL Rays	179	163	33	2	2	1	10	29	4	8	4	.202	.266	.258	.523	.055	.237	16	6	.232	36	-13	+0	+0	+1	+5	-0.7
2025	20	ROK	FCL Rays	121	116	22	3	0	0	3	31	1	3	0	.190	.217	.216	.432	.026	.256	26	2	.196	8	-13	+1	+0	+0	+3	-0.8
▸ 2026 Season
2026	21	MLB	TB	102	93	22	4	1	2	7	24	1	2	0	.237	.297	.366	.663	.129	.288	24	7	.284	76	-3	+0	+0	+0	+3	0.1
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	22	MLB 11%	TB	184	166	39	7	1	4	14	42	2	4	1	.235	.302	.361	.664	.127	.291	23	8	.299	87	-3	+0	+0	+1	+5	0.4
2028	23	MLB 28%	TB	301	270	65	12	2	7	25	67	3	6	1	.241	.312	.378	.690	.137	.292	22	8	.307	93	-2	+1	+0	+1	+9	0.8
2029	24	MLB 45%	TB	384	344	83	15	2	9	33	84	4	8	2	.241	.315	.375	.690	.134	.293	22	9	.313	97	-1	+1	+0	+1	+11	1.2
2030	25	MLB 60%	TB	433	387	95	17	3	11	38	94	5	9	2	.245	.321	.390	.711	.145	.294	22	9	.316	100	+0	+1	+0	+2	+12	1.5
2031	26	MLB 77%	TB	463	414	102	18	3	12	41	100	5	10	2	.246	.322	.391	.713	.145	.294	22	9	.318	102	+1	+1	+0	+2	+13	1.7
2032	27	MLB 92%	TB	476	425	104	19	3	12	43	103	5	10	2	.245	.321	.388	.710	.144	.294	22	9	.318	102	+1	+1	+0	+2	+13	1.8
2033	28	MLB	TB	480	428	105	19	3	12	44	105	5	10	2	.245	.323	.388	.711	.143	.294	22	9	.317	101	+1	+1	-1	+2	+14	1.7
2034	29	MLB	TB	476	424	103	18	3	12	44	106	5	9	1	.243	.321	.384	.706	.142	.294	22	9	.315	100	-0	+1	-1	+2	+13	1.5
2035	30	MLB	TB	469	418	101	18	3	11	43	106	5	9	1	.242	.320	.378	.698	.136	.293	23	9	.313	97	-1	+1	-2	+2	+13	1.3
2036	31	MLB	TB	457	407	96	17	2	11	42	105	5	7	0	.236	.315	.369	.684	.133	.292	23	9	.309	95	-3	+1	-3	+2	+13	1.1
2037	32	MLB	TB	440	392	92	16	2	10	40	103	5	7	0	.235	.314	.362	.676	.128	.291	23	9	.305	91	-4	+1	-4	+2	+12	0.8
2038	33	MLB	TB	411	367	85	15	2	9	37	99	4	6	0	.232	.309	.357	.666	.125	.290	24	9	.300	87	-6	+1	-4	+1	+12	0.4
2039	34	MLB	TB	367	327	74	13	2	7	33	92	4	5	0	.226	.305	.343	.647	.116	.289	25	9	.294	83	-7	+1	-5	+1	+10	0.1
2040	35	MLB	TB	313	279	62	10	2	6	28	81	3	5	0	.222	.300	.337	.637	.115	.288	26	9	.286	77	-8	+1	-6	+1	+9	-0.3
2041	36	MLB	TB	256	230	49	8	1	4	22	69	2	4	0	.213	.287	.309	.596	.096	.287	27	9	.278	71	-8	+1	-6	+1	+7	-0.6
▸ Career Totals (MLE all levels + projections)
Career	—			6681	5992	1390	240	39	141	567	1555	73	142	20	.232	.306	.356	.662	.124	.289	23	8	.297	86	-107	+20	-31	+24	+189	9.7
/ 162G	—			650	583	135	23	4	14	55	151	7	14	2	.232	.305	.357	.662	.125	.287	23	8	.297	86	-10	+2	-3	+2	+18	0.9

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
2022	17	ROK	DSL Rays	203	186	39	11	0	2	13	47	3	9	2	.210	.272	.301	.573	.091	.270	23	6	.262	58	-10	+1	—	—	+6	-0.3
2023	18	ROK	DSL Tampa Bay	166	141	38	6	3	0	22	31	2	11	0	.270	.376	.355	.730	.085	.342	19	13	.335	115	+3	+2	—	—	+5	1.0
2024	19	ROK	DSL Rays	179	157	41	3	2	2	16	20	4	8	4	.261	.345	.344	.689	.083	.285	11	9	.313	98	-0	+0	—	—	+5	0.5
2025	20	ROK	FCL Rays	121	115	31	5	1	0	4	21	1	3	0	.270	.300	.330	.630	.061	.326	17	3	.283	74	-4	+1	—	—	+3	0.1

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
Roosbert Tapia (OGILVIE)	21	55→60	31→36	49→54	42	.226/.290/.336	.110	.288	2	2	24%	7%	76	+0.0	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Osleivis Basabe 2022 · A	21	51→61	38→45	55→50	44	.241/.283/.325	.084	.294	5	14	20%	5%	68	-0.5	.258/.302/.361	.103	.312	5	15	18%	5%	85	+0.7	.259/.304/.363	.104	.312	6	15	18%	5%	84	+0.5
✕Kelby Tomlinson 2012 · A	22	49→59	40	55→60	44	.234/.284/.337	.103	.297	6	13	23%	6%	72	-0.2	.216/.269/.274	.058	.292	2	21	25%	6%	49	-1.8	.274/.334/.339	.065	.334	3	24	17%	7%	89	+0.7
✕Jesus Rodriguez 2023 · A	21	49→56	41→45	50	49	.234/.299/.341	.107	.285	6	12	20%	7%	80	+0.4	.247/.308/.361	.114	.302	10	14	20%	7%	89	+0.9	.254/.316/.360	.106	.307	10	16	19%	7%	89	+0.7
●Lou Marson 2007 · A	21	44→54	40	53→50	44	.211/.271/.304	.093	.282	6	6	27%	7%	58	-1.2	.248/.316/.343	.095	.329	7	4	24%	9%	88	+0.9	.265/.339/.354	.089	.347	6	4	23%	9%	97	+1.1
✕Thairo Estrada 2017 · A	21	51→61	41→50	47→55	44	.246/.290/.344	.098	.294	9	12	20%	6%	76	+0.1	.254/.295/.350	.096	.300	8	9	18%	5%	80	+0.4	.270/.326/.420	.150	.314	17	21	19%	5%	108	+1.8
●Vaughn Grissom 2022 · A	21	52→62	42→50	53→55	48	.250/.318/.360	.110	.306	9	11	21%	7%	93	+1.3	.269/.332/.397	.128	.319	12	17	19%	7%	108	+2.3	.268/.333/.391	.123	.317	12	18	19%	7%	103	+1.6
●Jonathan Jones 2012 · A	22	50→60	39→45	50→55	46	.236/.299/.322	.086	.303	7	16	23%	7%	75	-0.0	.226/.290/.292	.066	.287	2	21	21%	7%	63	-0.8	.258/.318/.391	.133	.307	13	25	19%	6%	97	+0.8
●Tony Granadillo 2006 · A	21	47→57	42→45	49→30	45	.227/.294/.333	.106	.295	9	5	25%	7%	76	+0.1	.238/.300/.360	.122	.292	11	3	21%	7%	85	+0.7	.239/.305/.359	.121	.290	10	2	20%	7%	85	+0.5
✕Ronarsy Ledesma 2013 · A	20	49	40→45	51→50	44	.231/.300/.334	.103	.298	6	13	23%	6%	79	+0.3	.214/.266/.312	.098	.287	6	10	26%	5%	59	-1.1	.194/.236/.286	.092	.269	8	8	30%	4%	36	-0.9
✕Luis Alvarez 2011 · A	21	48	43→45	47→45	46	.231/.301/.344	.113	.287	10	6	22%	7%	82	+0.5	.218/.273/.326	.108	.274	10	5	23%	5%	66	-0.6	.212/.264/.322	.111	.252	13	1	21%	4%	57	-0.3
✕Henry Henry 2008 · A	21	52	40	49→60	53	.246/.330/.342	.097	.293	8	14	18%	9%	94	+1.3	.241/.302/.320	.079	.274	5	21	13%	7%	76	+0.0	.250/.305/.317	.067	.277	4	30	11%	6%	72	-0.1
✕James Triantos 2023 · A	20	48→56	42→45	52→60	41	.234/.276/.342	.108	.294	10	12	24%	5%	70	-0.3	.244/.290/.341	.097	.290	8	23	18%	5%	76	+0.0	.251/.297/.347	.095	.291	7	33	16%	5%	77	+0.1
●Tyler Nevin 2018 · A	21	46→54	41→50	45	43	.225/.276/.329	.104	.286	8	9	24%	6%	67	-0.5	.231/.283/.339	.108	.294	10	6	24%	6%	72	-0.2	.240/.318/.386	.146	.290	17	4	22%	8%	98	+1.1
●Jake Elmore 2009 · A	22	46→56	40	45→55	45	.217/.280/.319	.102	.286	6	10	25%	7%	66	-0.6	.232/.303/.309	.077	.283	4	13	18%	9%	73	-0.1	.266/.337/.349	.083	.314	3	23	15%	9%	95	+1.0
✕Jose Duarte 2006 · A	21	48→56	40	50→55	46	.228/.285/.328	.100	.294	7	11	24%	7%	69	-0.4	.235/.285/.309	.074	.306	3	18	23%	6%	65	-0.7	.229/.295/.318	.089	.284	6	14	20%	8%	69	-0.2
✕Otto Lopez 2021 · A	22	53→59	39→45	47→55	44	.252/.291/.338	.086	.301	5	12	18%	5%	75	-0.0	.258/.307/.352	.094	.325	5	17	21%	6%	85	+0.7	.266/.318/.393	.127	.299	13	20	16%	7%	97	+1.0
✕Nick Senzel 2017 · A	22	48→56	44→50	51→50	47	.232/.297/.363	.132	.298	10	16	25%	8%	85	+0.7	.253/.307/.400	.147	.331	13	14	26%	7%	98	+1.6	.259/.313/.416	.157	.335	15	16	26%	7%	102	+1.2
●Ke'Bryan Hayes 2018 · A	21	48→54	37→50	53→50	44	.226/.279/.302	.075	.289	5	15	23%	6%	60	-1.0	.240/.299/.360	.120	.302	9	13	22%	7%	85	+0.7	.256/.313/.394	.138	.313	12	16	21%	7%	95	+1.2
✕Efrain Contreras 2008 · A	21	47	44→45	53→55	45	.232/.297/.346	.114	.275	12	15	20%	6%	82	+0.5	.215/.274/.310	.095	.277	8	11	24%	5%	62	-0.9	.185/.240/.257	.072	.258	6	6	29%	5%	31	-1.1
✕Mark Zagunis 2015 · A	22	48→53	41→45	55→50	47	.227/.299/.337	.110	.295	7	14	24%	8%	79	+0.3	.237/.325/.365	.128	.306	11	9	24%	10%	98	+1.6	.233/.329/.369	.136	.303	12	8	25%	10%	98	+1.2

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)