Engelth Urena — OGILVIE

Engelth UrenaC Tampa Tarpons

Age 21 R/R 6'0" / 196 lbs A HR +8%BB +8% Svc 0.0 · Ctrl thru 2036 peak 2.3 · 2031

wRC+†64

AVG/OBP/SLG.209 / .296 / .327

PA320

HR6

SB8

K%26

BB%9

MLB%0%

Scouting · now → future

HIT

35→35

PWR

35→35

SPD

45→45

EYE

57↘50

trajectory · 10 yrs

2.3peak

2031

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	Arb-3	$0.9M	+2.3	$21M	+$20M
2032	Ext / FA-deal	$0.9M	+2.3	$22M	+$21M
2033	Ext / FA-deal	$1.0M	+2.1	$21M	+$20M
2034	Ext / FA-deal	$4M	+2.0	$20M	+$16M
2035	Ext / FA-deal	$6M	+1.8	$19M	+$13M
2036	Ext / FA-deal	$7M	+1.5	$16M	+$9M
Totals		$19M		$119M	+$100M

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 NYY Bombers	37	33	4	1	0	1	3	9	1	0	1	.121	.216	.242	.459	.121	.130	24	8	.216	24	-3	-0	+0	+1	+1	-0.2
2024	19	ROK	FCL Yankees	162	142	28	7	0	5	15	29	4	5	2	.197	.292	.352	.644	.155	.211	18	9	.282	74	-5	+0	+0	+3	+5	0.3
2025	20	A	2 teams	490	427	64	14	0	8	48	132	10	8	3	.150	.252	.239	.490	.089	.192	27	10	.228	33	-37	+0	+0	+9	+14	-1.4
▸ 2026 Season (actual · ROS · total)
2026	21	A	Tampa Tarpons	63	52	6	3	0	0	11	20	0	3	0	.115	.270	.173	.443	.058	.188	32	17	.225	30	-5	+1	+0	+1	+2	-0.1
ROS	21	MLB	NYY	257	224	45	11	0	5	27	68	4	5	1	.201	.298	.317	.615	.116	.261	26	11	.279	72	-8	+1	+0	+5	+7	0.4
TOT	21	MLB	NYY	320	276	51	14	0	5	38	88	4	8	1	.185	.292	.290	.582	.105	.250	28	12	.268	64	-13	+1	+0	+6	+9	0.3
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	22	MLB 11%	NYY	520	453	94	21	1	11	54	122	8	10	2	.208	.303	.331	.634	.124	.258	23	10	.290	80	-12	+1	+0	+9	+15	1.4
2028	23	MLB 28%	NYY	520	452	96	21	1	12	55	119	8	10	2	.212	.309	.343	.652	.131	.261	23	11	.299	87	-8	+1	+0	+9	+15	1.8
2029	24	MLB 45%	NYY	520	451	98	21	1	13	56	117	8	9	2	.217	.315	.355	.669	.137	.263	22	11	.304	91	-5	+1	+0	+9	+15	2.0
2030	25	MLB 60%	NYY	520	450	98	21	1	13	57	117	8	9	2	.218	.317	.356	.672	.138	.264	22	11	.308	94	-4	+1	+0	+9	+15	2.2
2031	26	MLB 77%	NYY	520	449	98	21	1	13	58	117	8	9	1	.218	.318	.356	.675	.138	.265	22	11	.309	95	-3	+1	+0	+9	+15	2.3
2032	27	MLB 92%	NYY	520	448	98	21	1	13	59	117	8	9	1	.219	.320	.357	.678	.138	.264	22	11	.309	95	-3	+1	+0	+9	+15	2.3
2033	28	MLB	NYY	520	448	98	21	1	13	59	118	8	8	1	.219	.320	.357	.678	.138	.264	23	11	.308	94	-3	+1	-1	+9	+15	2.1
2034	29	MLB	NYY	520	448	97	21	1	13	59	120	8	7	0	.217	.318	.355	.673	.138	.263	23	11	.306	92	-4	+1	-1	+9	+15	2.0
2035	30	MLB	NYY	520	449	97	21	1	13	59	121	7	7	0	.216	.317	.354	.671	.138	.262	23	11	.303	90	-6	+1	-2	+9	+15	1.8
2036	31	MLB	NYY	504	435	92	20	1	12	57	120	7	6	0	.211	.313	.345	.657	.133	.260	24	11	.299	87	-7	+1	-3	+9	+14	1.5
2037	32	MLB	NYY	489	423	88	19	1	11	56	119	7	5	0	.208	.311	.336	.646	.128	.258	24	11	.295	84	-9	+1	-4	+9	+14	1.1
2038	33	MLB	NYY	473	410	83	18	1	10	54	118	6	4	0	.202	.304	.324	.629	.122	.256	25	11	.289	79	-11	+1	-4	+8	+13	0.8
2039	34	MLB	NYY	444	385	76	16	1	9	50	115	6	4	0	.197	.299	.314	.614	.117	.254	26	11	.283	74	-13	+1	-5	+8	+13	0.4
2040	35	MLB	NYY	380	330	63	13	1	7	42	102	5	4	0	.191	.292	.300	.592	.109	.252	27	11	.275	69	-13	+1	-6	+7	+11	-0.1
2041	36	MLB	NYY	317	275	51	11	0	5	35	88	4	3	0	.185	.287	.280	.567	.095	.248	28	11	.266	62	-14	+1	-6	+6	+9	-0.5
▸ Career Totals (MLE all levels + projections)
Career	—			8233	7132	1468	319	14	187	903	1968	125	122	18	.206	.306	.333	.639	.127	.255	24	11	.292	82	-169	+17	-31	+147	+233	20.1
/ 162G	—			650	563	116	25	1	15	71	155	10	10	1	.206	.306	.334	.640	.128	.254	24	11	.292	82	-13	+2	-2	+12	+18	1.6

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	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 NYY Bombers	37	31	7	2	3	5	6	1	0	1	.226	.351	.581	.932	.355	.182	16	14	.401	165	+3	-0	—	—	+1	0.3
2024	19	ROK	FCL Yankees	162	133	40	11	8	24	19	4	5	2	.301	.422	.564	.986	.263	.299	12	15	.429	186	+16	+0	—	—	+5	2.1
2025	20	A+	Hudson Valley Renegades	90	76	12	3	0	12	17	1	0	0	.158	.281	.197	.478	.039	.200	19	13	.234	38	-6	+0	—	—	+3	-0.4
2025	20	A	Tampa Tarpons	400	334	69	14	9	53	77	9	8	3	.207	.331	.329	.660	.123	.238	19	13	.305	91	-4	+0	—	—	+11	0.8

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	.209/.296/.327	.118	.271	6	4	26%	9%	77	+0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Alexander Campos 2022 · A	22	43	42→40	46→45	48	.209/.289/.317	.108	.281	9	6	28%	9%	70	-0.3	.221/.304/.311	.090	.312	8	6	29%	9%	75	-0.0	.236/.329/.308	.072	.330	7	6	28%	11%	83	+0.2
✕Oswaldo Linares 2023 · A	20	42	41→40	48→40	52	.203/.300/.294	.091	.264	9	7	25%	10%	70	-0.3	.191/.289/.274	.083	.279	7	4	31%	11%	60	-1.0	.164/.268/.232	.068	.248	6	2	32%	11%	39	-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
✕Blake Ochoa 2007 · A	21	45	40→45	46→40	44	.215/.280/.308	.092	.280	6	5	24%	6%	64	-0.8	.217/.270/.311	.094	.277	7	4	23%	6%	60	-1.0	.236/.301/.377	.140	.278	16	2	21%	7%	89	+0.3
✕Agustín Ramírez 2023 · A	21	43→45	45→55	50	43	.213/.273/.339	.126	.289	12	10	30%	7%	69	-0.4	.229/.292/.389	.160	.276	19	13	24%	8%	90	+1.0	.230/.293/.405	.176	.264	22	16	22%	7%	92	+1.1
✕Orlando Mercado 2006 · A	21	45	43→45	43→40	52	.222/.290/.330	.108	.254	11	5	18%	8%	74	-0.1	.215/.296/.334	.119	.243	13	3	17%	9%	78	+0.2	.226/.319/.308	.082	.262	7	1	15%	11%	79	+0.1
✕Fernando Pujadas 2013 · A	21	43	41→40	45→30	48	.210/.285/.307	.097	.263	8	3	23%	8%	66	-0.6	.218/.286/.305	.087	.286	6	4	24%	7%	66	-0.6	.232/.290/.310	.078	.294	4	0	21%	6%	65	-0.1
✕Miguel Amaya 2021 · A	22	42	46→50	48→40	46	.212/.283/.341	.129	.261	14	4	24%	7%	75	-0.0	.218/.306/.350	.132	.298	14	6	29%	9%	87	+0.8	.233/.304/.378	.146	.278	16	1	22%	7%	91	+0.5
✕David Narodowski 2010 · A	21	40	42→40	45	52	.197/.288/.297	.100	.256	11	7	26%	11%	66	-0.6	.192/.265/.272	.080	.260	6	7	27%	8%	49	-1.8	.179/.247/.244	.065	.242	5	6	26%	7%	30	-1.1
✕Miguel Palma 2022 · A	20	42	43→45	47→40	47	.204/.301/.317	.113	.282	11	9	29%	9%	77	+0.1	.216/.277/.335	.119	.281	14	4	27%	6%	70	-0.3	.209/.267/.315	.106	.274	13	2	27%	6%	58	-0.6
✕Randy Florentino 2021 · A	21	43	41→50	42→45	48	.206/.286/.310	.104	.297	8	6	31%	10%	67	-0.5	.180/.241/.263	.083	.269	8	5	34%	7%	36	-2.7	.183/.230/.260	.077	.238	8	4	26%	5%	28	-1.0
✕Rudy van Heydoorn 2009 · A	20	40	43→45	43→50	47	.193/.290/.298	.105	.281	11	10	32%	10%	67	-0.5	.182/.264/.285	.103	.284	10	6	37%	8%	52	-1.6	.153/.236/.254	.101	.237	11	2	38%	9%	32	-0.9
✕José Caballero 2019 · A	22	48→45	43→45	48→70	45	.232/.292/.346	.114	.280	10	9	21%	6%	79	+0.3	.220/.293/.329	.109	.282	9	25	24%	7%	76	+0.0	.229/.321/.344	.115	.305	10	63	26%	9%	87	+0.6
✕Antonio Negron 2007 · A	21	40	41→45	42→50	50	.196/.286/.295	.099	.247	9	10	24%	9%	64	-0.8	.209/.289/.316	.107	.260	10	10	22%	9%	70	-0.3	.206/.289/.314	.108	.245	12	12	21%	9%	69	-0.2
✕Geoandry Montilla 2017 · A	21	44	41→45	45→50	45	.212/.277/.309	.097	.287	8	8	28%	8%	63	-0.9	.197/.264/.297	.100	.310	8	8	36%	7%	55	-1.4	.131/.203/.233	.101	.238	8	7	45%	7%	11	-1.2
✕Adrian Abreu 2012 · A	21	40	38→40	47→55	47	.192/.263/.275	.082	.250	5	9	24%	8%	48	-1.9	.212/.292/.300	.088	.255	8	17	19%	9%	67	-0.5	.209/.299/.290	.080	.241	9	25	16%	10%	66	-0.2
✕Sherman Lacrus 2016 · A	22	47	40→30	45→50	49	.225/.297/.314	.089	.263	7	7	17%	7%	73	-0.1	.204/.258/.288	.084	.268	6	8	25%	6%	49	-1.8	.183/.231/.254	.071	.236	5	9	24%	4%	26	-1.1
✕Hao-Yu Lee 2023 · A	20	48→44	45→50	48→55	46	.232/.304/.355	.124	.309	12	12	28%	8%	86	+0.8	.239/.303/.370	.131	.306	13	16	25%	7%	89	+1.0	.238/.303/.382	.143	.296	14	19	24%	7%	90	+0.7
✕Leo Jiménez 2023 · A	22	47→49	40→45	48→45	51	.222/.330/.318	.096	.290	7	9	24%	9%	90	+1.0	.229/.317/.341	.112	.289	10	7	23%	7%	89	+1.0	.230/.322/.343	.112	.289	11	5	22%	7%	88	+0.5
✕Ramon Soto 2009 · AAA	21	44	42→30	51→45	44	.220/.275/.323	.103	.279	11	12	25%	6%	66	-0.6	.233/.277/.301	.068	.286	5	8	19%	5%	59	-1.1	.272/.316/.326	.054	.333	2	7	18%	5%	78	+0.1

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)