Engelth Urena — OGILVIE

Engelth UrenaC Tampa Tarpons

Age 21 R/R 6'0" / 196 lbs A HR +14% Svc 0.0 · Ctrl thru 2036

2026 ROS PROJECTION311 act + 10 ros · stats below = ROS only

showingROS

wRC+†58

AVG/OBP/SLG.111 / .200 / .111

PA10

HR0

K%30

BB%10

BABIP225

ISO108

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$10M ctrl surplus

Tools · ContractCON 35 / POW 35

Toolsscout grade

CONTACT35

scouting grade only

POWER35

scouting grade only

EYE50

scouting grade only

SPEED45

scouting grade only

Contract ESTIMATED · service-time + WAR-based estimator (needs verification)

Status MiLB

MLB Debut 2031

Service 0 yrs (est)

Team Control Through 2036

First FA Year 2037

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2031
2027	MiLB	still in minors · estimated debut 2031
2028	MiLB	still in minors · estimated debut 2031
2029	MiLB	still in minors · estimated debut 2031
2030	MiLB	still in minors · estimated debut 2031
2031	Pre-Arb	$0.9M	+0.4	$1M	+$0.6M
2032	Pre-Arb	$0.9M	+0.4	$1M	+$0.5M
2033	Pre-Arb	$1.0M	+0.3	$0.7M	+$0.2M
2034	Arb-1	$1M	+0.2	$0.4M	+$0.0M (cut)
2035	Arb-2	$2M	+0.2	$0.4M	+$0.0M (cut)
2036	Arb-3	$1.0M	—	—	—
Totals		$3M		$4M	+$1M

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. Catcher framing: only 2026 Statcast framing is modeled (Baseball Savant server-caches the leaderboard to the current season); prior-year framing is unmodeled — projections for established framers may run below FG-DC by 1-3 WAR.

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 NYY Bombers	—	37	31	7	2	0	3	5	6	1	0	1	226	351	581	932	355	182	16	14	401	158	+3	-0	—	—	+1	0.3
2024	19	ROK	FCL Yankees	—	162	133	40	11	0	8	24	19	4	5	2	301	422	564	986	263	299	12	15	429	176	+15	+0	—	—	+4	1.9
2025	20	A+	Hudson Valley Renegades	—	90	76	12	3	0	0	12	17	1	0	0	158	281	197	478	39	200	19	13	234	45	-6	+0	—	—	+2	-0.4
2025	20	A	Tampa Tarpons	—	400	334	69	14	0	9	53	77	9	8	3	207	331	329	660	123	238	19	13	305	92	-4	+0	—	—	+9	0.6
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2022	17	ROK MLE	DSL NYY Bombers	—	37	33	4	1	0	1	3	9	1	0	1	121	216	242	459	121	126	24	8	232	43	-3	-0	—	—	+1	-0.2
2024	19	ROK MLE	FCL Yankees	—	162	142	30	7	0	6	15	28	4	5	2	211	304	387	692	176	212	17	9	292	84	-3	+0	—	—	+4	0.1
2025	20	A+ MLE	Hudson Valley Renegades	—	90	80	10	2	0	0	8	23	1	0	0	125	213	150	363	25	171	26	9	178	7	-10	+0	—	—	+2	-0.8
2025	20	A MLE	Tampa Tarpons	—	400	346	54	11	0	9	41	109	9	8	3	156	263	266	529	110	191	27	10	242	50	-24	+0	—	—	+9	-1.5
2022	17	ROK MLE	DSL NYY Bombers	—	37	33	4	1	0	1	3	9	1	0	1	121	216	242	459	121	130	24	8	232	43	—	—	—	—	—	—
2022	17	ROK RAW	DSL NYY Bombers	—	37	31	7	2	0	3	5	6	1	0	1	226	351	581	932	355	182	16	14	401	43	—	—	—	—	—	—
2024	19	ROK MLE	FCL Yankees	—	162	142	30	7	0	6	15	28	4	5	2	211	304	387	692	176	220	17	9	292	84	—	—	—	—	—	—
2024	19	ROK RAW	FCL Yankees	—	162	133	40	11	0	8	24	19	4	5	2	301	422	564	986	263	299	12	15	429	84	—	—	—	—	—	—
2025	20	A MLE	2 teams	—	490	426	65	14	0	9	49	132	10	8	3	153	256	249	504	96	193	27	10	230	42	—	—	—	—	—	—
2025	20	A RAW	2 teams	—	490	410	81	17	0	9	65	94	10	8	3	198	322	305	627	107	231	19	13	292	42	—	—	—	—	—	—
2022	17	ROK MLE	DSL NYY Bombers	—	37	33	4	1	0	1	3	9	1	0	1	121	216	242	459	121	126	24	8	232	43	—	—	—	—	—	—
2024	19	ROK MLE	FCL Yankees	—	162	142	30	7	0	6	15	28	4	5	2	211	304	387	692	176	212	17	9	292	84	—	—	—	—	—	—
2025	20	A MLE	2 teams	—	490	428	65	14	0	9	49	132	10	8	3	152	256	248	503	96	187	27	10	230	42	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2024	19	ROK MLE	FCL Yankees	—	162	142	30	7	0	6	15	28	4	5	2	211	304	387	692	176	212	17	9	292	84	—	—	—	—	—	—
2025	20	A MLE	2 teams	—	490	428	65	14	0	9	49	132	10	8	3	152	256	248	503	96	187	27	10	230	42	—	—	—	—	—	—
YTD	21	A MLE	NYY	—	311	272	44	14	1	6	34	104	4	7	4	162	265	287	551	125	233	33	11	245	52	-18	-0	+0	+6	+7	-0.6
▸ 2026 season
YTD	21	A RAW	NYY	—	311	261	54	17	1	7	45	73	4	7	4	207	332	360	692	153	258	23	14	317	52	—	—	—	—	—	—
ROS	21	A MLE	NYY	0%	10	9	1	0	0	0	1	3	0	0	0	111	200	111	311		223	30	10	253	58	-1	+0	+0	+0	+0	-0.0
TOT	21	A MLE	NYY	—	321	281	45	14	1	6	35	107	4	7	4	160	263	281	544	121	231	33	11	245	52	-18	-0	+0	+6	+7	-0.6
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	22	MLB MLE	NYY	34%	520	453	79	20	1	11	54	150	8	6	3	174	274	296	570	121	229	29	10	264	65	-22	+0	+0	+9	+11	-0.1
2028	23	MLB MLE	NYY	48%	520	454	83	21	1	12	54	145	7	6	3	183	280	313	592	130	235	28	10	273	71	-18	+0	+0	+9	+11	0.2
2029	24	MLB MLE	NYY	53%	520	454	86	21	1	13	54	142	7	6	3	189	285	326	611	137	239	27	10	279	75	-16	+0	+0	+9	+11	0.5
2030	25	MLB MLE	NYY	55%	520	454	87	21	1	14	54	141	7	6	3	192	287	335	622	143	241	27	10	282	77	-14	+0	+0	+9	+11	0.6
2031	26	MLB MLE	NYY	56%	520	454	87	21	1	14	54	141	7	6	3	192	287	335	622	143	241	27	10	283	77	-14	+0	+0	+9	+11	0.7
2032	27	MLB MLE	NYY	55%	520	453	87	21	1	14	55	141	7	6	3	192	289	336	625	143	240	27	11	283	78	-14	+0	+0	+9	+11	0.7
2033	28	MLB MLE	NYY	55%	520	452	87	21	1	14	56	142	7	6	3	192	291	336	628	144	240	27	11	282	77	-14	+0	-1	+9	+11	0.6
2034	29	MLB MLE	NYY	53%	520	452	84	20	1	13	56	143	7	6	3	186	285	321	606	135	239	28	11	280	76	-15	+0	-1	+9	+11	0.4
2035	30	MLB MLE	NYY	57%	520	452	84	20	1	13	56	144	7	5	2	186	285	321	606	135	237	28	11	277	74	-16	+0	-2	+9	+11	0.2
2036	31	MLB MLE	NYY	60%	504	438	80	19	1	12	54	141	7	4	2	183	283	313	595	130	235	28	11	273	71	-17	+0	-3	+9	+11	-0.0
2027	22	MLB CTX	NYY	34%	179	155	27	7	0	4	19	52	3	2	1	174	277	297	574	123	231	29	11	257	65	-8	+0	+0	+3	+4	-0.0
2028	23	MLB CTX	NYY	48%	252	220	41	10	1	6	26	70	4	3	1	186	284	323	607	136	237	28	10	267	71	-9	+0	+0	+4	+5	0.1
2029	24	MLB CTX	NYY	53%	274	240	46	11	1	7	28	75	4	3	2	192	287	333	620	142	241	27	10	273	75	-8	-0	+0	+5	+6	0.2
2030	25	MLB CTX	NYY	55%	285	249	49	12	1	8	30	77	4	3	2	197	293	349	643	153	243	27	11	276	77	-8	-0	+0	+5	+6	0.3
2031	26	MLB CTX	NYY	56%	289	253	49	12	1	8	30	78	4	3	2	194	289	344	633	150	243	27	10	277	77	-8	-0	+0	+5	+6	0.4
2032	27	MLB CTX	NYY	55%	286	250	49	12	1	8	30	78	4	3	2	196	292	348	640	152	242	27	10	277	78	-8	-0	+0	+5	+6	0.4
2033	28	MLB CTX	NYY	55%	284	248	48	11	1	8	30	78	4	3	2	194	291	343	634	149	242	27	11	276	77	-8	-0	-0	+5	+6	0.3
2034	29	MLB CTX	NYY	53%	277	241	47	11	1	8	30	76	4	3	1	195	295	349	643	154	241	27	11	274	76	-8	+0	-1	+5	+6	0.2
2035	30	MLB CTX	NYY	57%	296	258	49	12	1	8	32	82	4	3	1	190	289	337	626	147	239	28	11	271	74	-9	+0	-1	+5	+6	0.2
2036	31	MLB CTX	NYY	60%	300	261	48	12	0	8	32	84	4	3	1	184	283	322	605	138	237	28	11	267	71	-10	+0	-2	+5	+6	0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2722	2375	453	110	8	73	287	750	39	29	15	191	288	336	624	145	243	28	11	272	71	-83	-0	-4	+49	+59	2.1
/ 162G	—	A+C		—	650	567	108	26	2	17	69	179	9	7	4	190	288	333	622	143	243	28	11	272	71	-20	-0	-1	+12	+14	0.5
Career	—	MLE		—	5883	5126	944	227	10	146	615	1602	86	70	34	184	282	318	600	134	234	27	10	274	71	-161	+0	-7	+93	+113	3.8
/ 162G	—	MLE		—	650	566	104	25	1	16	68	177	10	8	4	184	283	316	599	133	233	27	10	274	71	-20	+0	-1	+12	+14	0.5

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Rod Barajaslast yr '12 career totals — 12 seasons, 3,753 PA	5.7	3,753	134	2	235	284	407	+60	+30	15.8	16.0
/162	664	24	0	+10.7	+5.3	2.8	pk7: 16
#2John Bucklast yr '14 career totals — 11 seasons, 4,009 PA	6.0	4,009	134	6	234	301	398	+72	+7	16.9	15.7
/162	664	22	1	+11.9	+1.2	2.8	pk7: 14
#3Bobby 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
#4Danny 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
#5Sandy Leónlast yr '22 career totals — 9 seasons, 1,648 PA	2.5	1,648	31	1	209	276	313	+29	+56	6.4	6.7
/162	664	12	0	+11.9	+22.4	2.6	pk7: 7
#6J.P. Arencibialast yr '15 career totals — 5 seasons, 1,650 PA	2.5	1,650	78	2	213	260	414	+29	-4	4.2	4.2
/162	664	31	1	+11.9	-1.7	1.7	pk7: 4
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 6 projected seasons	4.6	3,043	75	34	186	281	321	+54	+24	3.8	3.6
/162	664	16	7	+11.9	+5.2	0.8	pk7: 3

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
Engelth Urena (OGILVIE)	21	35	35	45	50	164/264/278	115	223	6	5	30%	10%	58	-0.9	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Franklin Tineo 2016 · A	21	36	38→45	41→50	47	177/258/254	77	247	5	7	29%	9%	48	-2.5	190/264/281	91	260	7	10	28%	8%	56	-1.9	184/261/280	96	239	8	13	25%	8%	53	-0.7
✕Antonio Negron 2007 · A	21	40	41→45	42→50	50	194/285/294	100	244	9	10	23%	9%	68	-1.0	211/289/317	106	264	10	10	23%	8%	74	-0.5	206/289/314	108	245	12	12	21%	9%	73	-0.3
✕David Narodowski 2010 · A	21	39	42→40	44→45	53	194/287/294	100	252	11	7	26%	11%	69	-0.9	191/260/269	78	266	6	7	28%	8%	52	-2.2	174/239/239	66	243	4	6	29%	7%	34	-1.3
✕Adrian Abreu 2012 · A	21	39	38→40	47→55	47	190/263/273	82	247	5	9	24%	8%	53	-2.1	212/292/300	88	256	8	17	19%	9%	71	-0.8	209/299/290	80	241	9	25	16%	10%	70	-0.3
✕Deivi Mejia 2011 · A	21	40	39→40	43→30	44	193/264/278	85	266	7	5	29%	8%	55	-1.9	212/259/304	92	276	7	4	25%	4%	59	-1.7	224/268/311	87	267	6	1	18%	3%	64	-0.5
✕Wynston Sawyer 2014 · A	22	41	42→45	47→45	46	203/265/304	101	254	9	3	24%	7%	61	-1.5	215/280/313	98	272	8	5	23%	7%	69	-0.9	228/314/342	113	289	10	2	23%	9%	86	+0.1
✕Alexander Campos 2022 · A	22	42	42→40	46→45	48	206/291/311	105	278	9	6	28%	9%	73	-0.6	220/302/308	88	316	7	6	30%	9%	76	-0.4	234/327/306	73	330	7	6	28%	11%	84	+0.1
✕Oswaldo Linares 2023 · A	20	42	41→40	48→40	52	203/299/295	93	261	9	6	24%	10%	74	-0.6	189/286/270	81	279	7	4	31%	11%	63	-1.4	163/267/230	67	248	6	2	33%	11%	45	-1.0
✕Abrahan Gutierrez 2021 · A	21	44→43	39→45	46→40	43	214/262/293	80	273	7	6	24%	6%	57	-1.8	225/298/328	103	300	8	4	26%	8%	80	-0.2	218/296/319	101	289	9	2	26%	8%	74	-0.3
✕Jose Gil 2008 · A	21	40	41→45	43→45	41	201/245/294	92	258	10	4	26%	5%	51	-2.2	208/246/303	95	271	8	7	26%	4%	53	-2.1	213/262/333	120	261	13	3	23%	5%	64	-0.5
✕Fernando Pujadas 2013 · A	21	43	41→40	46→30	48	208/287/304	96	264	8	3	23%	8%	70	-0.8	218/286/306	88	287	6	5	24%	7%	70	-0.9	232/290/310	78	294	4	0	21%	6%	69	-0.2
✕Ariel Baez 2012 · A	21	39	41→40	43→45	43	194/265/291	97	265	8	5	29%	7%	59	-1.7	199/257/281	82	285	5	6	30%	6%	53	-2.1	173/227/238	65	246	2	6	29%	5%	30	-1.2
✕Imeldo Diaz 2019 · A	21	44	41→40	46→45	41	216/264/307	91	269	9	5	23%	5%	61	-1.5	230/264/310	80	304	5	5	25%	4%	61	-1.5	237/260/299	62	315	3	2	25%	2%	54	-0.6
✕Mitch Einertson 2007 · A	21	37→47	43→45	45	42	187/245/293	107	236	11	5	26%	6%	52	-2.2	224/267/347	123	278	12	5	23%	5%	72	-0.7	233/275/358	125	286	12	5	22%	4%	75	-0.3
✕Daury Arias 2023 · A	21	39→38	44→40	46→45	50	197/285/309	112	247	11	8	24%	9%	71	-0.8	183/263/266	83	270	7	9	32%	9%	53	-2.1	162/246/233	72	244	6	9	33%	9%	36	-1.7
✕Jeter Downs 2018 · A	20	42→40	43→50	47→55	47	208/276/316	107	257	11	9	23%	7%	68	-1.0	211/277/351	140	270	15	17	27%	7%	78	-0.3	171/263/306	134	238	15	26	33%	8%	61	-0.7
✕Glenn Santiago 2022 · A	21	43	40	51→45	49	207/278/298	91	250	7	11	20%	7%	65	-1.2	199/261/287	88	292	7	8	32%	7%	56	-1.9	182/247/261	79	270	7	8	33%	7%	43	-1.1
✕Victor Duarte 2022 · A	21	39	38→30	48→45	42	188/251/270	82	260	6	7	29%	6%	49	-2.4	199/275/282	83	287	6	6	30%	8%	61	-1.5	182/254/249	67	248	6	11	27%	8%	43	-0.7
✕Willy Diaz 2015 · A	21	36	36→40	45→40	46	170/263/235	65	253	4	5	32%	9%	47	-2.6	187/263/267	80	309	5	4	37%	8%	53	-2.1	184/258/270	86	308	5	2	39%	8%	49	-0.9
✕Geoandry Montilla 2017 · A	21	44	41→45	45→50	46	214/281/315	101	286	8	9	27%	8%	70	-0.8	197/264/296	99	314	8	8	37%	7%	59	-1.6	131/203/233	101	238	8	7	45%	7%	21	-1.2

Career Stats + Projections

Career Comps

Career Path Comps