Wilian Trinidad — OGILVIE

Wilian Trinidad2B FCL Rays

Age 20 L/R 5'8" / 165 lbs ROK HR +6%H +4% Svc 0.0 · Ctrl thru 2037

2026 FULL-SEASON PROJECTIONpark-neutral Marcel · 67 proj PA

wRC+†55

AVG/OBP/SLG.196 / .267 / .270

PA6

HR0

K%26

BB%8

ISO75

MLB%0%

Value2026 · WAR

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

Tools · ContractCON 29 / POW 33

Toolsscout grade

CONTACT29

scouting grade only

POWER33

scouting grade only

EYE55

scouting grade only

SPEED62

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	+0.1	$0.3M	+$0.0M (cut)
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		$0.0M		$0.3M	+$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)
2023	17	ROK	DSL Rays	—	230	189	51	9	0	1	38	46	1	16	9	270	395	333	728	63	347	20	17	339	116	+4	-0	—	—	+5	0.9
2024	18	ROK	DSL Tampa Bay	—	219	179	45	7	4	0	33	49	3	21	11	251	377	335	712	84	338	22	15	326	107	+2	-0	—	—	+5	0.6
2025	19	ROK	FCL Rays	—	59	54	11	2	0	0	4	17	0	2	0	204	259	241	499	37	297	29	7	229	41	-4	+0	—	—	+1	-0.3
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2023	17	ROK MLE	DSL Rays	—	230	203	42	7	0	1	24	67	1	16	9	207	294	256	550	49	291	29	10	249	55	-12	-0	—	—	+5	-0.8
2024	18	ROK MLE	DSL Tampa Bay	—	219	192	37	5	3	0	20	72	3	21	11	193	279	250	529	57	296	33	9	244	51	-13	-0	—	—	+5	-0.8
2025	19	ROK MLE	FCL Rays	—	59	56	7	1	0	0	2	25	0	2	0	125	155	143	298	18	234	42	3	147	-14	-8	+0	—	—	+1	-0.6
2023	17	ROK MLE	DSL Rays	—	230	203	42	7	0	1	24	67	1	16	9	207	294	256	550	49	299	29	10	249	55	—	—	—	—	—	—
2023	17	ROK RAW	DSL Rays	—	230	189	51	9	0	1	38	46	1	16	9	270	395	333	728	63	347	20	17	339	55	—	—	—	—	—	—
2024	18	ROK MLE	DSL Tampa Bay	—	219	192	37	5	3	0	20	72	3	21	11	193	279	250	529	57	301	33	9	244	51	—	—	—	—	—	—
2024	18	ROK RAW	DSL Tampa Bay	—	219	179	45	7	4	0	33	49	3	21	11	251	377	335	712	84	338	22	15	326	51	—	—	—	—	—	—
2025	19	ROK MLE	FCL Rays	—	59	56	7	1	0	0	2	25	0	2	0	125	155	143	298	18	226	42	3	147	-14	—	—	—	—	—	—
2025	19	ROK RAW	FCL Rays	—	59	54	11	2	0	0	4	17	0	2	0	204	259	241	499	37	297	29	7	229	-14	—	—	—	—	—	—
2023	17	ROK MLE	DSL Rays	—	230	203	42	7	0	1	24	67	1	16	9	207	294	256	550	49	291	29	10	249	55	—	—	—	—	—	—
2024	18	ROK MLE	DSL Tampa Bay	—	219	194	37	5	3	0	20	72	3	21	11	191	279	247	526	57	296	33	9	244	51	—	—	—	—	—	—
2025	19	ROK MLE	FCL Rays	—	59	57	7	1	0	0	2	25	0	2	0	123	155	140	296	18	234	42	3	147	-14	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	17	ROK MLE	DSL Rays	—	230	203	42	7	0	1	24	67	1	16	9	207	294	256	550	49	291	29	10	249	55	—	—	—	—	—	—
2024	18	ROK MLE	DSL Tampa Bay	—	219	194	37	5	3	0	20	72	3	21	11	191	279	247	526	57	296	33	9	244	51	—	—	—	—	—	—
2025	19	ROK MLE	FCL Rays	—	59	57	7	1	0	0	2	25	0	2	0	123	155	140	296	18	234	42	3	147	-14	—	—	—	—	—	—
▸ 2026 season
2026	20	MLB MLE	TB	0%	6	6	1	0	0	0	0	2	0	0	0	167	167	167	333		267	33	0	249	55	-0	+0	+0	+0	+0	-0.1
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	21	MLB MLE	TB	34%	150	136	28	5	1	2	12	38	1	4	1	206	275	301	577	96	270	25	8	264	64	-6	+0	+0	+1	+3	-0.2
2028	22	MLB MLE	TB	48%	287	258	55	10	2	4	24	72	3	7	2	213	288	314	602	101	273	25	8	273	71	-10	+1	+0	+1	+6	-0.2
2029	23	MLB MLE	TB	54%	383	344	75	14	2	7	32	95	4	10	3	218	292	331	624	113	275	25	8	279	75	-11	+1	+0	+1	+8	-0.1
2030	24	MLB MLE	TB	55%	449	404	88	16	3	8	38	110	4	11	3	218	291	332	623	114	276	24	8	282	77	-12	+1	+0	+2	+10	0.0
2031	25	MLB MLE	TB	56%	487	438	95	17	3	9	41	119	5	12	4	217	291	331	622	114	276	24	8	284	78	-13	+1	+0	+2	+11	0.0
2032	26	MLB MLE	TB	56%	509	456	100	18	3	10	43	125	5	13	4	219	294	338	631	118	276	25	8	284	79	-13	+1	+0	+2	+11	0.1
2033	27	MLB MLE	TB	55%	519	465	101	18	3	10	44	128	5	13	4	217	292	333	625	116	276	25	8	284	79	-13	+1	+0	+2	+11	0.1
2034	28	MLB MLE	TB	55%	520	465	101	18	3	10	45	129	5	13	4	217	293	333	627	116	275	25	9	283	78	-14	+1	-1	+2	+11	-0.0
2035	29	MLB MLE	TB	58%	514	459	100	18	3	10	45	128	5	12	4	218	295	336	630	118	274	25	9	281	77	-14	+1	-1	+2	+11	-0.2
2027	21	MLB CTX	TB	34%	52	48	10	2	0	1	4	13	0	1	0	208	269	312	582	104	278	25	8	263	64	-2	+0	+0	+0	+1	-0.1
2028	22	MLB CTX	TB	48%	139	126	27	5	1	2	11	35	1	3	1	214	283	317	600	103	281	25	8	272	71	-5	+0	+0	+0	+3	-0.1
2029	23	MLB CTX	TB	54%	208	187	42	8	1	4	17	51	2	5	2	225	296	342	638	118	283	25	8	278	75	-6	+0	+0	+1	+5	-0.1
2030	24	MLB CTX	TB	55%	249	224	50	9	2	5	21	61	2	6	2	223	296	348	644	125	284	24	8	282	77	-7	+0	+0	+1	+5	-0.0
2031	25	MLB CTX	TB	56%	273	245	55	10	2	5	23	67	3	7	2	224	299	343	642	118	284	25	8	283	78	-7	+1	+0	+1	+6	0.0
2032	26	MLB CTX	TB	56%	286	257	59	11	2	6	24	70	3	7	2	230	303	358	661	128	284	24	8	284	79	-7	+1	+0	+1	+6	0.1
2033	27	MLB CTX	TB	55%	287	257	59	11	2	6	25	71	3	7	2	230	305	358	663	128	284	25	9	284	79	-7	+1	+0	+1	+6	0.1
2034	28	MLB CTX	TB	55%	285	255	58	11	2	6	25	70	3	7	2	227	304	357	661	129	283	25	9	283	78	-7	+1	-0	+1	+6	-0.0
2035	29	MLB CTX	TB	58%	298	267	60	11	2	6	26	74	3	7	2	225	301	348	649	124	283	25	9	281	77	-8	+1	-1	+1	+6	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2077	1866	420	78	14	41	176	512	20	50	15	225	299	348	647	123	287	25	8	281	73	-57	+4	-1	+7	+45	-0.2
/ 162G	—	A+C		—	650	584	131	24	4	13	55	160	6	16	5	224	298	346	644	122	285	25	8	281	73	-18	+1	-0	+2	+14	-0.1
Career	—	MLE		—	4332	3882	830	147	26	71	370	1110	41	134	49	214	289	320	609	106	278	26	9	276	73	-107	+7	-2	+14	+83	-0.5
/ 162G	—	MLE		—	650	582	125	22	4	11	56	167	6	20	7	215	290	323	613	108	279	26	9	276	73	-18	+1	-0	+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
#2Adam Engellast yr '22 career totals — 6 seasons, 1,540 PA	2.3	1,540	30	47	225	280	350	+4	+33	4.1	4.1
/162	664	13	20	+1.8	+14.4	1.8	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	3.2	2,144	39	54	217	288	330	+8	+6	1.2	1.3
/162	664	12	17	+2.4	+1.9	0.4	pk7: 1
#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
Wilian Trinidad (OGILVIE)	20	24→29	28→33	57→62	55	196/267/270	74	267	0	2	26%	8%	55	-0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Luis Valenzuela 2014 · A	20	41	37→45	53→45	46	193/250/268	75	240	4	9	21%	7%	47	-2.6	229/258/316	87	295	5	8	23%	4%	60	-1.6	262/284/362	100	318	5	7	19%	2%	77	-0.1
✕Jefry Puente 2012 · A	20	35	37→45	55→50	47	170/258/247	77	249	3	11	30%	9%	47	-2.6	192/268/269	77	260	3	14	25%	8%	55	-2.0	163/244/219	56	209	0	27	20%	7%	32	-0.9
✕Wilbis Santiago 2016 · A	20	45	35→40	55→30	46	209/266/267	58	257	2	10	19%	6%	53	-2.1	224/267/299	75	261	3	8	15%	4%	60	-1.6	247/273/328	81	279	3	3	12%	2%	67	-0.4
✕Darrien Miller 2021 · A	20	42→41	36→45	47→45	43	198/272/267	70	271	3	8	27%	6%	56	-1.9	199/300/314	115	273	13	6	30%	9%	79	-0.2	175/316/278	103	239	9	4	27%	12%	76	-0.2
✕Rodolfo Penalo 2013 · A	20	41	36→40	52→65	48	193/259/264	71	240	3	18	20%	7%	50	-2.3	214/291/283	69	273	2	26	20%	9%	66	-1.1	212/299/273	61	273	1	34	20%	10%	63	-0.4
✕Jaden Rudd 2023 · A	20	39→36	39→30	49→50	49	188/279/278	90	259	6	12	28%	10%	62	-1.4	179/292/246	67	290	3	14	35%	11%	61	-1.5	155/286/207	52	265	2	16	36%	11%	49	-1.2
✕Glenn Santiago 2021 · A	20	43	37→40	55→45	46	200/274/277	78	262	3	13	23%	7%	59	-1.6	205/269/296	91	280	7	9	28%	7%	61	-1.5	182/247/261	79	270	7	8	33%	7%	43	-1.1
✕Junior Valera 2013 · A	20	42	36→40	51→60	45	196/266/265	69	275	2	10	28%	8%	53	-2.1	226/289/310	84	293	3	18	22%	8%	71	-0.8	245/308/338	94	307	3	28	20%	8%	80	-0.0
✕Thomas Milone 2015 · A	20	41→45	36→45	51→55	38	194/246/266	72	293	3	10	33%	6%	45	-2.7	197/251/260	63	283	3	13	29%	6%	45	-2.7	237/293/354	117	331	7	17	29%	6%	79	-0.1
✕Francisco Santana 2008 · A	20	37	38→50	52→55	39	182/227/269	87	246	5	7	28%	5%	38	-3.2	202/247/309	107	265	8	12	26%	5%	55	-2.0	191/230/306	114	248	9	14	26%	5%	46	-1.0
✕Diomedes Del Rio 2018 · A	20	40	35→55	51→50	42	189/256/253	63	271	2	9	29%	6%	47	-2.6	207/272/316	109	294	5	9	29%	8%	66	-1.1	200/270/362	161	281	6	11	29%	8%	74	-0.2
✕Frankeny Fernandez 2017 · A	20	36	38→40	53→60	42	174/248/255	81	275	5	19	36%	8%	45	-2.7	193/258/268	75	281	5	10	31%	7%	51	-2.3	172/238/215	43	239	3	6	27%	7%	30	-1.1
✕Jason Denham 2007 · A	21	40→45	35→40	53→55	44	190/254/251	61	280	3	10	31%	8%	45	-2.7	218/277/298	80	290	8	18	26%	7%	64	-1.3	217/279/292	74	284	8	21	25%	7%	62	-0.9
✕Hoy Park 2017 · A	21	40→49	38→45	59→55	46	192/267/282	90	275	4	17	30%	8%	57	-1.8	216/291/301	85	288	6	17	25%	9%	70	-0.8	228/317/324	96	297	8	17	24%	11%	83	+0.0
✕Pedro Toribio 2010 · A	20	42	36→40	55→60	47	199/265/272	73	259	3	17	23%	8%	53	-2.1	229/276/321	92	283	4	23	20%	6%	68	-1.0	258/292/370	112	309	4	31	17%	4%	83	+0.0
✕Michael De La Cruz 2016 · A	20	41	36→40	45→50	44	192/261/262	70	277	4	9	30%	8%	50	-2.3	192/257/257	65	308	3	10	35%	8%	47	-2.5	156/232/188	31	269	0	14	38%	9%	20	-1.5
✕Shane Mardirosian 2016 · A	20	42→40	37→40	50→45	39	199/247/278	79	276	4	13	28%	5%	48	-2.5	198/248/267	69	278	4	8	29%	5%	46	-2.6	190/242/254	64	264	4	7	28%	5%	39	-1.6
✕Oswal Leones 2021 · A	20	41	36→30	46→50	46	196/259/262	66	262	4	12	25%	7%	49	-2.4	198/260/265	67	297	3	8	31%	7%	50	-2.3	180/247/237	57	275	2	9	33%	7%	36	-1.1
✕Roberto Caro 2014 · A	20	46→41	35→40	56→60	48	210/285/283	73	287	1	16	25%	8%	63	-1.3	206/280/293	87	291	3	18	27%	8%	64	-1.3	215/287/293	78	329	2	26	32%	8%	65	-0.6
✕Juan Centeno 2010 · A	20	42	36→45	49→40	46	200/261/264	65	253	3	6	22%	7%	51	-2.3	232/277/294	62	297	3	6	21%	6%	62	-1.4	268/305/322	54	324	1	3	17%	4%	76	-0.2

Career Stats + Projections

Career Comps

Career Path Comps