Giomar Ubiera — OGILVIE

Giomar UbieraSS DSL Mets Blue

Age 18 R/R 6'1" / 170 lbs ROK H -5% Svc 0.0 · Ctrl thru 2037

2026 FULL-SEASON PROJECTIONpark-neutral Marcel · 132 proj PA

wRC+†61

AVG/OBP/SLG.186 / .282 / .265

PA11

HR0

K%29

BB%10

ISO80

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$15M ctrl surplus

Tools · ContractCON 25 / POW 30

Toolsscout grade

CONTACT25

scouting grade only

POWER30

scouting grade only

EYE60

scouting grade only

SPEED60

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	+0.4	$1M	+$0.5M
2033	Pre-Arb	$1.0M	+0.5	$1M	+$0.7M
2034	Pre-Arb	$1.0M	+0.5	$1M	+$0.7M
2035	Arb-1	$3M	+0.5	$1M	+$0.0M (cut)
2036	Arb-2	$4M	+0.5	$0.9M	+$0.0M (cut)
2037	Arb-3	$5M	+0.4	$0.7M	+$0.0M (cut)
Totals		$3M		$6M	+$2M

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)
2025	17	ROK	DSL Mets Blue	—	159	113	24	7	0	2	38	38	7	14	8	212	437	327	764	115	297	24	24	367	135	+7	-0	—	—	+3	1.0
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	17	ROK MLE	DSL Mets Blue	—	159	128	17	4	0	1	23	55	7	14	8	133	297	188	485	55	210	35	14	240	49	-10	-0	—	—	+3	-0.7
2025	17	ROK MLE	DSL Mets Blue	—	159	128	17	4	0	1	23	55	7	14	8	133	297	188	485	55	219	35	14	240	49	—	—	—	—	—	—
2025	17	ROK RAW	DSL Mets Blue	—	159	113	24	7	0	2	38	38	7	14	8	212	437	327	764	115	297	24	24	367	49	—	—	—	—	—	—
2025	17	ROK MLE	DSL Mets Blue	—	159	128	17	4	0	1	23	55	7	14	8	133	297	188	485	55	210	35	14	240	49	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2025	17	ROK MLE	DSL Mets Blue	—	159	128	17	4	0	1	23	55	7	14	8	133	297	188	485	55	210	35	14	240	49	—	—	—	—	—	—
▸ 2026 season
2026	18	MLB MLE	NYM	0%	11	10	1	0	0	0	1	3	0	0	0	100	182	100	282		264	27	9	258	61	-1	+0	+0	+0	+0	-0.1
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	19	MLB MLE	NYM	34%	220	192	38	7	1	3	22	62	4	5	1	198	294	292	585	94	269	28	10	269	68	-8	+1	+0	+2	+5	-0.1
2028	20	MLB MLE	NYM	48%	354	309	62	11	2	5	35	97	7	9	2	201	296	298	594	97	273	27	10	277	74	-11	+1	+0	+4	+8	0.1
2029	21	MLB MLE	NYM	54%	454	397	82	15	2	8	45	123	9	11	2	207	302	315	616	108	275	27	10	282	77	-12	+1	+0	+5	+10	0.4
2030	22	MLB MLE	NYM	57%	525	458	96	18	3	9	52	141	10	13	2	210	304	321	625	111	276	27	10	285	79	-13	+2	+0	+6	+11	0.6
2031	23	MLB MLE	NYM	58%	573	500	104	19	3	10	57	153	11	14	3	208	303	318	621	110	277	27	10	287	81	-13	+2	+0	+6	+12	0.7
2032	24	MLB MLE	NYM	57%	604	526	110	20	3	11	61	161	12	15	3	209	306	321	627	112	278	27	10	289	81	-13	+2	+0	+6	+13	0.8
2033	25	MLB MLE	NYM	57%	622	543	115	21	3	12	62	166	12	15	3	212	306	328	634	116	278	27	10	289	82	-13	+2	+0	+7	+13	0.9
2034	26	MLB MLE	NYM	57%	631	551	116	21	3	12	63	168	12	16	3	211	305	325	630	114	278	27	10	290	82	-13	+2	+0	+7	+14	0.9
2035	27	MLB MLE	NYM	55%	632	551	116	21	3	12	64	169	12	16	3	211	306	325	631	114	277	27	10	290	82	-13	+2	+0	+7	+14	0.9
2036	28	MLB MLE	NYM	59%	627	546	115	21	3	12	64	168	12	15	3	211	307	326	633	115	277	27	10	289	82	-14	+2	-1	+7	+14	0.8
2037	29	MLB MLE	NYM	61%	618	537	111	20	3	11	64	167	12	14	3	207	305	317	622	110	276	27	10	287	80	-14	+2	-1	+7	+13	0.6
2038	30	MLB MLE	NYM	62%	607	527	110	20	3	11	63	166	12	14	2	209	307	321	628	112	275	27	10	285	79	-15	+2	-2	+7	+13	0.4
2039	31	MLB MLE	NYM	63%	593	516	105	19	3	10	61	164	11	13	2	203	301	310	611	107	273	28	10	281	76	-17	+2	-3	+6	+13	0.1
2040	32	MLB MLE	NYM	64%	575	500	99	18	2	9	59	161	11	12	2	198	296	296	592	98	270	28	10	276	73	-19	+2	-4	+6	+12	-0.2
2027	19	MLB CTX	NYM	34%	76	67	12	2	0	1	8	21	1	2	0	179	276	254	530	75	262	28	11	251	68	-3	+0	+0	+1	+2	-0.0
2028	20	MLB CTX	NYM	48%	172	150	30	5	1	3	17	47	3	4	1	200	294	307	601	107	266	27	10	259	74	-5	+0	+0	+2	+4	0.1
2029	21	MLB CTX	NYM	54%	246	214	43	8	1	4	25	67	5	6	1	201	299	304	603	103	268	27	10	264	77	-7	+1	+0	+3	+5	0.2
2030	22	MLB CTX	NYM	57%	297	259	53	10	2	5	30	80	6	7	1	205	302	317	618	112	269	27	10	267	79	-7	+1	+0	+3	+6	0.3
2031	23	MLB CTX	NYM	58%	330	288	60	11	2	6	33	88	6	8	1	208	303	323	626	115	270	27	10	269	81	-8	+1	+0	+4	+7	0.4
2032	24	MLB CTX	NYM	57%	344	300	61	11	2	6	34	92	7	8	2	203	299	313	612	110	270	27	10	270	81	-8	+1	+0	+4	+7	0.4
2033	25	MLB CTX	NYM	57%	353	308	64	11	2	7	35	94	7	9	2	208	303	325	628	117	270	27	10	271	82	-8	+1	+0	+4	+8	0.5
2034	26	MLB CTX	NYM	57%	357	311	65	12	2	7	36	95	7	9	2	209	305	328	633	119	270	27	10	271	82	-8	+1	+0	+4	+8	0.5
2035	27	MLB CTX	NYM	55%	351	305	63	11	2	7	36	94	7	9	2	207	305	325	629	118	270	27	10	271	82	-7	+1	+0	+4	+8	0.5
2036	28	MLB CTX	NYM	59%	371	323	66	12	2	7	38	100	7	9	2	204	302	319	621	115	270	27	10	270	82	-8	+1	-0	+4	+8	0.5
2037	29	MLB CTX	NYM	61%	377	328	67	12	2	7	39	102	7	9	2	204	302	317	619	113	269	27	10	269	80	-9	+1	-1	+4	+8	0.4
2038	30	MLB CTX	NYM	62%	378	329	67	12	2	7	39	103	7	9	2	204	301	316	617	112	268	27	10	266	79	-10	+1	-1	+4	+8	0.2
2039	31	MLB CTX	NYM	63%	374	325	64	11	2	6	39	103	7	8	1	197	296	298	595	102	266	28	10	263	76	-11	+1	-2	+4	+8	0.1
2040	32	MLB CTX	NYM	64%	366	318	63	11	2	6	38	102	7	8	1	198	298	302	599	104	263	28	10	258	73	-12	+1	-2	+4	+8	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	4392	3825	778	139	24	79	447	1188	84	105	20	203	301	314	615	111	271	27	10	267	78	-109	+13	-7	+47	+95	4.0
/ 162G	—	A+C		—	650	566	116	21	4	12	66	176	12	16	3	205	301	320	621	115	273	27	10	267	78	-16	+2	-1	+7	+14	0.6
Career	—	MLE		—	7805	6791	1397	255	37	136	796	2124	154	196	42	206	303	314	617	109	276	27	10	284	78	-191	+23	-10	+82	+166	7.0
/ 162G	—	MLE		—	650	566	116	21	3	11	66	177	13	16	3	205	302	311	613	106	276	27	10	284	78	-16	+2	-1	+7	+14	0.6

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Bobby Crosbylast yr '10 career totals — 7 seasons, 2,832 PA	4.3	2,832	62	34	238	305	374	+28	+33	11.6	11.6
/162	664	15	8	+6.7	+7.7	2.7	pk7: 12
#2Danny Espinosalast yr '17 career totals — 8 seasons, 3,267 PA	4.9	3,267	98	64	221	297	378	+16	+36	11.0	11.4
/162	664	20	13	+3.2	+7.3	2.2	pk7: 12
#3Brendan Ryanlast yr '15 career totals — 9 seasons, 2,872 PA	4.3	2,872	19	67	234	295	315	+30	+85	10.6	11.0
/162	664	4	15	+6.9	+19.7	2.4	pk7: 11
#4Cliff Penningtonlast yr '17 career totals — 10 seasons, 3,108 PA	4.7	3,108	36	84	243	310	341	+28	+29	9.2	9.5
/162	664	8	18	+5.9	+6.2	2.0	pk7: 10
#5Gordon Beckhamlast yr '19 career totals — 10 seasons, 3,764 PA	5.7	3,764	80	34	237	301	368	+13	+19	8.2	8.4
/162	664	14	6	+2.4	+3.4	1.4	pk7: 9
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 9 projected seasons	6.8	4,523	79	108	208	301	317	+48	+27	7.0	6.0
/162	664	12	16	+7.1	+4.0	1.0	pk7: 5
#6Ronny Cedenolast yr '13 career totals — 9 seasons, 2,783 PA	4.2	2,783	40	39	246	289	354	+28	+19	5.5	5.6
/162	664	10	9	+6.7	+4.5	1.3	pk7: 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
Giomar Ubiera (OGILVIE)	18	25	30	60	60	186/282/265	79	264	1	3	29%	10%	61	-0.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Dennys Riera 2023 · A	18	35	39→40	50	36	173/231/260	87	272	7	6	37%	6%	38	-3.2	172/242/246	74	249	5	6	31%	6%	40	-3.0	183/266/258	74	252	5	7	27%	5%	53	-0.5
✕Richard Rodriguez 2012 · A	19	39	36→30	48→50	45	186/255/247	61	260	3	12	28%	8%	45	-2.7	210/266/251	41	261	1	14	19%	7%	49	-2.4	233/291/254	20	278	0	16	15%	7%	56	-0.6
✕Rafael Herrera 2019 · A	18	43	35→40	52→50	45	200/267/266	67	269	2	12	25%	7%	53	-2.1	218/286/298	80	291	4	12	24%	8%	68	-1.0	229/304/310	81	297	4	17	22%	9%	74	-0.2
✕Marco Soto 2022 · A	18	41	36→30	52→50	42	194/263/258	64	277	3	10	29%	6%	51	-2.3	201/256/257	56	270	2	8	25%	5%	47	-2.5	183/237/221	38	251	1	8	26%	5%	30	-0.9
✕Robedluis Fuentes 2008 · A	19	41	37→30	53→45	45	197/263/267	70	262	4	12	25%	7%	53	-2.1	230/290/284	54	281	3	7	18%	6%	65	-1.2	243/302/283	40	290	2	5	16%	6%	68	-0.4
✕Enmanuel Tejeda 2023 · A	18	45→37	40	52→60	57	212/316/313	100	269	5	12	21%	12%	83	+0.1	225/310/312	87	311	7	23	27%	10%	80	-0.1	226/313/303	78	310	7	32	27%	10%	77	-0.1
✕Curtney Doran 2010 · A	18	39	37→30	51→55	48	184/277/259	75	284	4	16	34%	10%	57	-1.8	188/294/266	78	272	4	10	29%	12%	65	-1.2	154/290/223	68	217	3	8	26%	15%	55	-0.9
✕Victor Rodrigues 2023 · A	18	41	38→30	49→50	43	196/259/277	81	254	5	7	24%	6%	53	-2.1	212/289/284	72	268	5	9	21%	9%	66	-1.1	221/317/274	53	274	5	10	19%	11%	72	-0.3
✕Francisco Acuna 2018 · A	18	39→48	37→45	55→50	55	183/284/257	74	242	4	15	24%	11%	59	-1.6	194/267/263	69	267	3	9	26%	8%	53	-2.1	217/289/313	96	287	8	16	26%	7%	70	-0.4
✕Yordany De Los Santos 2023 · A	18	42→40	36→45	51→60	46	196/275/269	73	281	3	13	29%	8%	57	-1.8	201/270/288	87	311	7	23	35%	7%	60	-1.6	204/257/327	123	302	13	35	35%	6%	61	-1.1
✕Alex Gonzalez 2009 · A	18	40	34→30	52→60	46	186/266/232	45	269	2	22	29%	8%	46	-2.6	202/266/250	48	293	1	18	29%	7%	49	-2.4	216/290/265	49	291	1	14	24%	8%	60	-0.6
✕Gilbert Gomez 2010 · A	18	43→37	38→40	55→50	49	202/285/284	82	286	5	23	29%	10%	65	-1.2	200/262/286	86	282	6	13	29%	7%	56	-1.9	200/260/286	86	279	5	10	29%	7%	52	-0.9
✕Hidekel Abreu 2016 · A	18	42	36→40	49→50	45	199/266/263	64	280	3	8	28%	8%	52	-2.2	223/284/304	81	293	5	10	24%	7%	68	-1.0	237/299/317	80	300	6	12	21%	8%	72	-0.3
✕Luis Palacios 2007 · A	18	43	37→40	50	47	203/279/272	70	286	4	13	29%	8%	59	-1.6	204/261/283	79	271	5	7	25%	6%	55	-2.0	192/241/268	76	252	6	4	25%	5%	42	-1.0
✕Alexander Benua 2022 · A	18	36	35→40	54→55	39	170/242/230	60	260	2	13	33%	6%	36	-3.3	191/259/266	75	288	5	16	33%	6%	51	-2.3	185/255/265	80	288	6	17	35%	7%	48	-0.9
✕Yeremy Cabrera 2023 · A	18	37→42	38→45	53→60	48	181/263/263	82	240	5	13	26%	8%	52	-2.2	207/289/321	114	272	11	17	26%	9%	75	-0.5	202/287/312	110	269	12	24	27%	8%	70	-0.5
✕Juan Mosquera 2007 · A	19	38	35→30	49→55	44	180/246/238	57	263	3	15	31%	8%	38	-3.2	201/290/246	45	281	1	14	26%	10%	58	-1.7	210/308/237	27	280	0	17	22%	11%	61	-0.5
✕Jett Williams 2023 · A	19	45→44	41→45	56→55	44	216/286/317	101	287	8	14	26%	7%	73	-0.6	206/315/327	121	297	9	23	30%	12%	86	+0.3	203/309/335	132	285	10	26	29%	12%	83	+0.1
✕Marco Guzman 2013 · A	18	37	35→45	47→50	47	176/257/242	66	244	2	8	26%	8%	45	-2.7	198/263/278	80	251	4	7	22%	8%	55	-2.0	224/262/324	100	290	5	8	24%	5%	62	-0.5
✕Keudy Bocio 2017 · A	18	42	37→30	50→55	54	198/305/268	70	253	5	21	22%	10%	70	-0.8	207/286/277	70	275	3	14	24%	9%	63	-1.3	198/270/243	45	261	0	14	22%	8%	51	-0.5

Career Stats + Projections

Career Comps

Career Path Comps