Roosbert Tapia — OGILVIE

Roosbert Tapia2B FCL Rays

Age 21 R/R 6'2" / 177 lbs ROK HR +6%H +4% Svc 0.0 · Ctrl thru 2037

2026 FULL-SEASON PROJECTIONpark-neutral Marcel · 102 proj PA

wRC+†64

AVG/OBP/SLG.219 / .271 / .305

PA9

HR0

K%25

BB%6

ISO87

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$2M ctrl surplus

Tools · ContractCON 60 / POW 36

Toolsscout grade

CONTACT60

scouting grade only

POWER36

scouting grade only

EYE42

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	+0.1	$0.2M	+$0.0M (cut)
2034	Pre-Arb	$1.0M	—	—	—
2035	Arb-1	$0.4M	—	—	—
2036	Ext	beyond projection horizon · no WAR estimate
2037	Ext	beyond projection horizon · no WAR estimate
Totals		$0.9M		$0.5M	+$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)
2022	17	ROK	DSL Rays	—	203	186	39	11	0	2	13	47	3	9	2	210	272	301	573	91	270	23	6	262	63	-9	+1	—	—	+4	-0.4
2023	18	ROK	DSL Tampa Bay	—	166	141	38	6	3	0	22	31	2	11	0	270	376	355	730	85	342	19	13	335	113	+3	+2	—	—	+4	0.9
2024	19	ROK	DSL Rays	—	179	157	41	3	2	2	16	20	4	8	4	261	345	344	689	83	285	11	9	313	98	-0	+0	—	—	+4	0.4
2025	20	ROK	FCL Rays	—	121	115	31	5	1	0	4	21	1	3	0	270	300	330	630	61	326	17	3	283	77	-3	+1	—	—	+3	-0.0
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2022	17	ROK MLE	DSL Rays	—	203	191	27	6	0	1	8	69	3	9	2	141	188	188	377	47	217	34	4	173	3	-23	+1	—	—	+4	-1.8
2023	18	ROK MLE	DSL Tampa Bay	—	166	150	30	4	2	0	13	45	2	11	0	200	273	253	526	53	272	27	8	235	45	-11	+2	—	—	+4	-0.5
2024	19	ROK MLE	DSL Rays	—	179	163	33	2	2	1	10	29	4	8	4	202	266	258	523	55	226	16	6	232	43	-12	+0	—	—	+4	-0.8
2025	20	ROK MLE	FCL Rays	—	121	116	23	3	1	0	3	31	1	3	0	198	225	241	466	43	263	26	2	202	23	-11	+1	—	—	+3	-0.8
2022	17	ROK MLE	DSL Rays	—	203	191	27	6	0	1	8	69	3	9	2	141	188	188	377	47	215	34	4	173	3	—	—	—	—	—	—
2022	17	ROK RAW	DSL Rays	—	203	186	39	11	0	2	13	47	3	9	2	210	272	301	573	91	270	23	6	262	3	—	—	—	—	—	—
2023	18	ROK MLE	DSL Tampa Bay	—	166	150	30	4	2	0	13	45	2	11	0	200	273	253	526	53	283	27	8	235	45	—	—	—	—	—	—
2023	18	ROK RAW	DSL Tampa Bay	—	166	141	38	6	3	0	22	31	2	11	0	270	376	355	730	85	342	19	13	335	45	—	—	—	—	—	—
2024	19	ROK MLE	DSL Rays	—	179	163	33	2	2	1	10	29	4	8	4	202	266	258	523	55	237	16	6	232	43	—	—	—	—	—	—
2024	19	ROK RAW	DSL Rays	—	179	157	41	3	2	2	16	20	4	8	4	261	345	344	689	83	285	11	9	313	43	—	—	—	—	—	—
2025	20	ROK MLE	FCL Rays	—	121	116	23	3	1	0	3	31	1	3	0	198	225	241	466	43	267	26	2	202	23	—	—	—	—	—	—
2025	20	ROK RAW	FCL Rays	—	121	115	31	5	1	0	4	21	1	3	0	270	300	330	630	61	326	17	3	283	23	—	—	—	—	—	—
2022	17	ROK MLE	DSL Rays	—	203	190	27	6	0	1	8	69	3	9	2	142	188	189	378	47	217	34	4	173	3	—	—	—	—	—	—
2023	18	ROK MLE	DSL Tampa Bay	—	166	150	30	4	2	0	13	45	2	11	0	200	273	253	526	53	272	27	8	235	45	—	—	—	—	—	—
2024	19	ROK MLE	DSL Rays	—	179	163	33	2	2	1	10	29	4	8	4	202	266	258	523	55	226	16	6	232	43	—	—	—	—	—	—
2025	20	ROK MLE	FCL Rays	—	121	116	23	3	1	0	3	31	1	3	0	198	225	241	466	43	263	26	2	202	23	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	18	ROK MLE	DSL Tampa Bay	—	166	150	30	4	2	0	13	45	2	11	0	200	273	253	526	53	272	27	8	235	45	—	—	—	—	—	—
2024	19	ROK MLE	DSL Rays	—	179	163	33	2	2	1	10	29	4	8	4	202	266	258	523	55	226	16	6	232	43	—	—	—	—	—	—
2025	20	ROK MLE	FCL Rays	—	121	116	23	3	1	0	3	31	1	3	0	198	225	241	466	43	263	26	2	202	23	—	—	—	—	—	—
▸ 2026 season
2026	21	MLB MLE	TB	0%	9	8	1	0	0	0	1	2	0	0	0	125	222	125	347		289	22	11	262	64	-0	+0	+0	+0	+0	-0.1
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	22	MLB MLE	TB	34%	184	169	38	6	1	3	11	45	2	4	1	225	280	325	606	101	290	24	6	274	72	-6	+0	+0	+1	+4	-0.1
2028	23	MLB MLE	TB	48%	301	276	63	11	2	5	19	73	3	6	2	228	285	337	622	109	291	24	6	281	77	-8	+0	+0	+1	+7	-0.0
2029	24	MLB MLE	TB	53%	384	352	82	14	3	7	25	92	4	8	2	233	291	349	641	116	292	24	7	286	80	-9	+1	+0	+1	+8	0.1
2030	25	MLB MLE	TB	55%	433	397	92	16	3	8	28	104	5	9	2	232	291	348	638	116	292	24	6	289	81	-10	+1	+0	+2	+9	0.2
2031	26	MLB MLE	TB	56%	463	424	99	17	3	9	31	111	5	10	2	233	293	351	645	118	292	24	7	289	82	-10	+1	+0	+2	+10	0.3
2032	27	MLB MLE	TB	55%	476	436	100	17	3	9	32	114	5	10	3	229	290	344	634	115	292	24	7	289	82	-10	+1	+0	+2	+10	0.3
2033	28	MLB MLE	TB	55%	480	439	101	17	3	9	33	116	5	10	3	230	291	344	635	114	292	24	7	288	81	-11	+1	-1	+2	+10	0.2
2034	29	MLB MLE	TB	53%	476	435	100	17	3	9	33	116	5	9	2	230	292	345	637	115	291	24	7	286	80	-11	+1	-1	+2	+10	0.0
2035	30	MLB MLE	TB	53%	469	429	98	16	3	9	32	115	5	9	2	228	290	343	632	114	290	25	7	284	78	-12	+1	-2	+2	+10	-0.1
2027	22	MLB CTX	TB	34%	63	58	14	2	1	1	4	16	1	1	0	241	302	362	664	121	299	25	6	273	72	-2	+0	+0	+0	+1	-0.0
2028	23	MLB CTX	TB	48%	146	134	32	6	1	3	9	35	2	3	1	239	297	366	662	127	300	24	6	281	77	-4	+0	+0	+1	+3	-0.0
2029	24	MLB CTX	TB	53%	202	185	45	8	2	4	13	49	2	4	1	243	300	373	673	130	301	24	6	286	80	-5	+0	+0	+1	+4	0.1
2030	25	MLB CTX	TB	55%	237	216	52	9	2	5	16	57	3	5	1	241	302	370	672	130	301	24	7	288	81	-5	+1	+0	+1	+5	0.1
2031	26	MLB CTX	TB	56%	258	236	57	10	2	5	17	62	3	5	1	242	301	364	665	123	301	24	7	289	82	-6	+1	+0	+1	+6	0.2
2032	27	MLB CTX	TB	55%	262	239	57	10	2	5	18	63	3	6	1	238	300	360	660	121	301	24	7	289	82	-6	+1	+0	+1	+6	0.2
2033	28	MLB CTX	TB	55%	262	239	57	10	2	5	18	63	3	5	1	238	300	360	660	121	300	24	7	288	81	-6	+1	-0	+1	+6	0.1
2034	29	MLB CTX	TB	53%	254	232	56	10	2	5	17	62	3	5	1	241	302	366	668	125	299	24	7	286	80	-6	+1	-1	+1	+6	0.0
2035	30	MLB CTX	TB	53%	246	224	53	9	2	5	17	60	3	5	1	237	299	362	661	125	298	24	7	283	78	-6	+1	-1	+1	+5	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1930	1763	423	74	16	38	129	467	23	39	8	240	300	365	665	125	304	24	7	286	72	-46	+5	-2	+7	+42	0.5
/ 162G	—	A+C		—	650	594	142	25	5	13	43	157	8	13	3	239	299	364	663	125	302	24	7	286	72	-15	+2	-1	+2	+14	0.2
Career	—	MLE		—	4344	3985	887	146	29	70	279	1062	49	106	25	223	282	326	608	104	284	24	6	274	72	-88	+7	-4	+13	+80	0.8
/ 162G	—	MLE		—	650	596	132	22	4	10	42	159	7	16	4	221	280	322	602	101	284	24	6	274	72	-16	+1	-1	+2	+14	0.1

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Chris 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
#2Dustin 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
#3Adam Rosaleslast yr '17 career totals — 9 seasons, 1,756 PA	2.6	1,756	47	16	227	293	367	+6	+8	3.0	3.5
/162	664	18	6	+2.4	+3.0	1.1	pk7: 4
#4Ryan Goinslast yr '19 career totals — 7 seasons, 1,680 PA	2.5	1,680	22	6	230	279	335	+9	+21	2.0	2.0
/162	664	9	2	+3.7	+8.5	0.8	pk7: 2
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 6 projected seasons	3.1	2,033	37	41	232	288	347	+7	+6	1.7	1.7
/162	664	12	13	+2.4	+2.0	0.6	pk7: 2
#5Nick 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
#6Alexi Amaristalast yr '17 career totals — 7 seasons, 1,901 PA	2.9	1,901	21	39	231	275	323	+14	-6	-1.1	-1.1
/162	664	7	14	+4.9	-2.1	-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
Roosbert Tapia (OGILVIE)	21	55→60	31→36	49→54	42	219/271/305	86	289	1	2	25%	6%	64	-0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Jose Cordova 2021 · A	21	49	37→40	50	42	230/287/303	73	298	4	13	23%	5%	69	-0.9	212/267/282	70	308	3	9	30%	5%	57	-1.8	229/290/316	87	306	5	11	25%	7%	70	-0.4
✕Dru Baker 2022 · A	22	45→55	38→40	56→60	41	213/266/296	82	298	4	14	29%	6%	59	-1.6	243/300/346	103	343	9	30	30%	7%	84	+0.1	253/307/340	88	352	8	39	29%	6%	81	-0.0
✕Tim Lopes 2015 · A	21	46→56	37→45	50→55	43	216/262/291	75	275	3	12	22%	5%	56	-1.9	242/292/318	76	312	3	19	22%	6%	74	-0.6	245/295/346	101	306	7	27	21%	6%	80	-0.1
✕A.J. Jimenez 2011 · A	21	48→58	39→45	50	35	228/258/318	90	315	7	13	30%	4%	61	-1.5	248/286/347	99	311	7	10	21%	5%	78	-0.3	259/297/357	98	315	6	7	19%	5%	81	-0.0
✕Euribiel Angeles 2023 · A	21	52→59	37→40	47→50	41	245/285/323	78	309	4	10	22%	4%	72	-0.7	233/265/317	84	277	6	15	18%	4%	63	-1.4	233/273/314	81	269	6	15	16%	4%	62	-1.1
✕Johan Rojas 2021 · A	20	48→58	38→45	51→65	44	226/278/313	88	285	3	11	21%	6%	68	-1.0	224/272/333	109	286	9	31	24%	5%	70	-0.8	254/296/351	97	318	7	41	21%	5%	80	-0.1
✕Osleivis Basabe 2022 · A	21	51→61	38→45	56→50	44	244/287/329	85	299	5	15	20%	6%	74	-0.5	259/304/360	101	314	5	15	18%	5%	88	+0.4	261/307/362	101	315	5	15	18%	5%	86	+0.2
✕Evan Crawford 2010 · A	21	45→55	36→40	57→55	39	212/259/279	67	305	3	16	30%	6%	52	-2.2	233/276/316	83	328	3	18	28%	4%	67	-1.1	241/284/326	85	338	3	21	28%	4%	68	-0.9
✕Ryan McKenna 2018 · A	21	45→55	41→45	53→55	39	213/270/315	102	308	8	12	32%	6%	65	-1.2	225/288/328	103	307	8	12	27%	7%	75	-0.5	213/291/342	129	316	14	13	34%	9%	78	-0.1
✕Chesny Young 2015 · A	22	51→61	38→30	50	38	239/273/327	89	329	5	8	28%	4%	68	-1.0	270/318/336	66	319	3	12	15%	6%	87	+0.4	271/321/329	58	318	2	11	15%	6%	84	+0.1
✕Jose Duarte 2006 · A	21	48→56	40	50→55	47	229/285/330	101	294	7	11	24%	7%	74	-0.6	235/284/308	73	308	3	19	23%	6%	68	-1.0	232/300/319	87	290	6	14	20%	9%	75	-0.3
●Maikel Garcia 2021 · A	21	43→53	36→50	51→60	42	203/261/270	67	295	3	13	31%	7%	51	-2.2	244/303/338	94	314	6	24	22%	8%	82	+0.0	261/321/393	132	295	10	24	15%	8%	100	+1.2
✕Darell Hernaiz 2022 · A	20	47→57	39→45	50	42	226/272/299	73	289	7	15	24%	5%	62	-1.4	245/292/349	104	301	10	17	21%	6%	81	-0.1	253/310/346	93	295	7	12	16%	7%	85	+0.2
✕Isaias Velasquez 2010 · A	22	50→57	37→40	53→55	43	233/280/320	87	295	3	12	22%	5%	70	-0.9	244/295/328	84	304	3	19	19%	6%	77	-0.3	256/311/338	82	316	2	24	18%	7%	82	+0.0
✕Lorenzo Cedrola 2019 · A	21	50→59	37→40	49→50	39	236/269/313	77	286	3	16	19%	2%	63	-1.3	242/282/325	83	287	5	15	17%	3%	72	-0.7	248/292/343	96	290	7	16	17%	3%	76	-0.3
✕Jonathan Ornelas 2021 · A	21	42→52	39→45	50	41	204/263/293	89	285	6	11	29%	6%	58	-1.7	228/278/329	101	310	10	10	28%	6%	72	-0.7	235/295/316	82	324	8	12	28%	7%	72	-0.6
✕Isiah Kiner-Falefa 2016 · A	21	52→56	34→40	47→55	43	243/290/290	47	299	1	10	19%	5%	66	-1.1	248/301/309	61	295	3	10	16%	6%	75	-0.5	262/305/349	88	305	7	19	16%	5%	84	+0.1
✕Starlin Rodriguez 2011 · A	21	46→54	35→45	53→50	40	214/277/280	66	300	2	16	28%	5%	60	-1.6	236/288/340	104	319	8	11	27%	4%	78	-0.3	235/289/351	116	308	10	10	26%	5%	79	-0.1
✕Brayan Rocchio 2021 · A	20	48→53	38→45	48→50	43	226/277/308	82	281	5	13	21%	5%	66	-1.1	226/284/349	123	286	11	14	24%	6%	79	-0.2	222/294/342	121	256	12	16	18%	7%	79	-0.2
✕Dom Abbadessa 2019 · A	21	51	36→40	51→55	40	238/284/310	72	305	3	15	22%	4%	69	-0.9	212/272/288	76	315	3	11	31%	6%	60	-1.6	145/231/201	56	253	0	9	38%	8%	23	-0.8

Career Stats + Projections

Career Comps

Career Path Comps