Julio Zayas — OGILVIE

Julio ZayasC St. Lucie Mets

Age 20 R/R 5'11" / 190 lbs A H +5%HR +3% Svc 0.0 · Ctrl thru 2036 peak 3.2 · 2032

wRC+†67

AVG/OBP/SLG.228 / .298 / .343

PA162

HR3

K%23

BB%8

MLB%0%

Scouting · now → future

HIT

50→50

PWR

20→20

SPD

35→35

EYE

46↘45

trajectory · 10 yrs

3.2peak

2032

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	+3.1	$29M	+$28M
2032	Ext / FA-deal	$0.9M	+3.2	$31M	+$30M
2033	Ext / FA-deal	$1.0M	+3.1	$31M	+$30M
2034	Ext / FA-deal	$6M	+3.1	$31M	+$25M
2035	Ext / FA-deal	$9M	+2.9	$30M	+$21M
2036	Ext / FA-deal	$13M	+2.6	$28M	+$15M
Totals		$31M		$179M	+$148M

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
2023	17	ROK	DSL Mets Orange	202	184	41	10	1	5	8	39	5	1	1	.223	.274	.370	.644	.147	.248	19	4	.271	66	-8	-0	+0	+4	+6	0.1
2024	18	ROK	FCL Mets	131	118	20	2	1	2	10	33	2	0	0	.169	.246	.254	.500	.085	.214	25	8	.233	37	-9	+0	+0	+2	+4	-0.3
2025	19	ROK	FCL Mets	173	152	34	7	0	1	14	34	6	0	0	.224	.314	.289	.603	.066	.280	20	8	.264	60	-8	+0	+0	+3	+5	0.0
▸ 2026 Season (actual · ROS · total)
2026	20	A	St. Lucie Mets	68	63	15	3	0	0	2	27	1	0	0	.238	.273	.286	.558	.048	.395	40	3	.254	53	-4	+0	+0	+1	+2	-0.1
ROS	20	MLB	NYM	94	86	19	4	0	1	7	24	1	1	0	.221	.287	.302	.590	.081	.301	26	7	.286	77	-2	+0	+0	+2	+3	0.2
TOT	20	MLB	NYM	162	149	34	7	0	1	9	51	2	1	0	.228	.281	.295	.577	.067	.333	31	6	.273	67	-6	+0	+0	+3	+5	0.2
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	21	MLB 11%	NYM	252	227	55	11	1	5	20	49	3	3	1	.242	.312	.366	.678	.123	.289	19	8	.308	94	-2	+0	+0	+4	+7	1.0
2028	22	MLB 28%	NYM	365	327	81	16	2	8	30	70	5	5	1	.248	.320	.382	.703	.135	.289	19	8	.315	99	-0	+1	+0	+7	+10	1.7
2029	23	MLB 48%	NYM	440	393	98	19	2	11	38	83	6	6	1	.249	.325	.392	.717	.142	.289	19	9	.321	103	+2	+1	+0	+8	+12	2.3
2030	24	MLB 62%	NYM	489	435	108	21	2	12	44	91	7	6	1	.248	.327	.389	.716	.140	.290	19	9	.325	107	+4	+1	+0	+9	+14	2.8
2031	25	MLB 80%	NYM	516	457	115	23	2	13	47	95	7	6	1	.252	.331	.396	.727	.144	.290	18	9	.328	109	+5	+1	+0	+9	+15	3.1
2032	26	MLB 94%	NYM	520	460	117	23	2	14	48	96	7	6	1	.254	.334	.404	.738	.150	.291	18	9	.330	110	+6	+1	+0	+9	+15	3.2
2033	27	MLB	NYM	520	459	117	23	2	14	49	96	7	5	1	.255	.336	.405	.741	.150	.291	18	9	.330	110	+6	+1	+0	+9	+15	3.1
2034	28	MLB	NYM	520	459	116	23	2	14	49	97	7	5	0	.253	.334	.403	.737	.150	.290	19	9	.329	110	+6	+1	-1	+9	+15	3.1
2035	29	MLB	NYM	520	458	114	22	2	13	50	99	7	4	0	.249	.332	.391	.723	.142	.290	19	10	.326	108	+5	+1	-1	+9	+15	2.9
2036	30	MLB	NYM	517	455	113	22	2	13	50	100	7	4	0	.248	.332	.391	.723	.143	.288	19	10	.323	106	+3	+1	-2	+9	+15	2.6
2037	31	MLB	NYM	489	432	106	20	2	12	47	96	7	3	0	.245	.329	.384	.713	.139	.287	20	10	.320	103	+1	+1	-3	+9	+14	2.2
2038	32	MLB	NYM	457	404	98	19	2	11	44	93	6	2	0	.243	.326	.381	.707	.139	.285	20	10	.315	99	-0	+0	-4	+8	+13	1.8
2039	33	MLB	NYM	416	369	88	17	2	9	39	87	5	2	0	.238	.320	.369	.688	.130	.284	21	9	.309	95	-2	+0	-4	+7	+12	1.3
2040	34	MLB	NYM	362	320	74	14	1	8	34	79	5	2	0	.231	.315	.356	.671	.125	.282	22	9	.303	90	-4	+0	-5	+6	+10	0.8
2041	35	MLB	NYM	303	268	60	11	1	6	28	69	4	2	0	.224	.307	.340	.646	.116	.280	23	9	.295	84	-5	+0	-6	+5	+9	0.3
2042	36	MLB	NYM	244	217	48	9	1	4	22	58	3	2	0	.221	.302	.327	.629	.106	.277	24	9	.286	77	-6	+0	-6	+4	+7	-0.1
2043	37	MLB	NYM	186	165	35	6	1	3	17	46	2	1	0	.212	.293	.315	.609	.103	.273	25	9	.276	70	-6	+0	-7	+3	+5	-0.5
▸ Career Totals (MLE all levels + projections)
Career	—			7716	6845	1657	322	31	179	695	1534	109	66	8	.242	.322	.377	.698	.135	.286	20	9	.314	98	-17	+10	-38	+138	+219	31.8
/ 162G	—			650	577	140	27	3	15	59	129	9	6	1	.243	.323	.378	.701	.135	.286	20	9	.314	98	-1	+1	-3	+12	+18	2.7

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	3B	HR	BB	SO	HBP	SB	CS	AVG	OBP	SLG	OPS	ISO	BABIP	K%	BB%	wOBA	wRC+	BAT	RUN	FLD	POS	REP	WAR
2023	17	ROK	DSL Mets Orange	202	176	54	14	1	7	15	26	5	1	1	.307	.376	.517	.893	.210	.318	13	7	.382	151	+12	-0	—	—	+6	1.7
2024	18	ROK	FCL Mets	131	109	26	3	1	3	18	22	2	0	0	.239	.354	.367	.721	.128	.271	17	14	.328	109	+1	+0	—	—	+4	0.5
2025	19	ROK	FCL Mets	173	141	40	9	0	1	22	24	6	0	0	.284	.395	.369	.764	.085	.333	14	13	.350	126	+5	+0	—	—	+5	1.0

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
Julio Zayas (OGILVIE)	20	50	20	35	45	.228/.298/.343	.115	.287	3	2	23%	8%	81	+0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
●Daniel Robertson 2014 · A	20	46→54	43→45	38→40	46	.227/.287/.337	.110	.280	10	4	22%	7%	74	-0.1	.243/.310/.355	.112	.303	9	3	22%	7%	89	+0.9	.234/.338/.350	.116	.305	12	4	25%	11%	96	+0.8
✕Yeiner Fernandez 2023 · A	20	51→52	42→40	42→45	46	.247/.307/.349	.102	.301	9	4	21%	6%	85	+0.7	.233/.297/.317	.084	.279	7	5	18%	7%	73	-0.1	.225/.290/.290	.065	.266	4	5	16%	6%	61	-0.7
✕Jairo Marquez 2008 · A	20	52	41→40	45	49	.248/.307/.345	.096	.276	8	5	13%	6%	84	+0.6	.225/.278/.317	.092	.252	7	6	14%	6%	65	-0.7	.206/.259/.284	.079	.226	6	6	12%	6%	45	-0.5
●Luis Campusano 2019 · A	20	48→55	39→50	40→30	44	.233/.281/.312	.079	.289	7	3	22%	6%	64	-0.8	.250/.305/.387	.137	.294	15	2	20%	7%	95	+1.4	.261/.327/.424	.162	.295	21	1	19%	8%	110	+1.4
✕Ulises Montilla 2012 · A	20	54	38→45	44→50	54	.250/.313/.337	.087	.275	4	9	11%	8%	85	+0.7	.237/.296/.329	.092	.276	4	9	15%	7%	75	-0.0	.230/.290/.330	.099	.271	4	10	15%	6%	73	-0.1
✕Amadeo Zazueta 2006 · A	20	45→55	45	41→50	44	.223/.269/.352	.130	.262	12	5	20%	6%	70	-0.3	.209/.257/.317	.108	.263	9	5	23%	6%	56	-1.3	.285/.316/.382	.096	.311	8	10	11%	3%	94	+1.0
✕Colton Welker 2018 · A	20	52→55	42→45	42→45	41	.251/.286/.360	.110	.300	10	7	20%	4%	79	+0.3	.239/.279/.343	.104	.311	9	5	25%	5%	72	-0.2	.224/.269/.327	.104	.294	10	3	27%	5%	64	-0.5
✕Sherman Lacrus 2014 · A	20	51	39→30	47→50	48	.241/.316/.320	.079	.276	7	9	15%	6%	82	+0.5	.218/.285/.305	.087	.262	7	7	19%	7%	66	-0.6	.189/.251/.275	.086	.232	6	6	21%	6%	42	-0.7
✕Luis Alvarez 2009 · A	19	47	43→45	44→45	48	.230/.303/.339	.110	.271	10	5	19%	7%	82	+0.5	.225/.291/.326	.101	.280	9	5	22%	6%	73	-0.1	.212/.264/.322	.111	.252	13	1	21%	4%	57	-0.3
✕Orlando Gonzalez 2007 · A	21	48	41→40	41→45	43	.233/.290/.329	.096	.275	8	7	18%	5%	73	-0.1	.238/.295/.327	.089	.263	8	5	13%	5%	75	-0.0	.252/.309/.328	.076	.263	8	3	8%	5%	79	+0.1
✕Sam McMillan 2019 · A	20	47	41→30	47→45	49	.227/.314/.329	.102	.280	8	6	21%	8%	85	+0.7	.215/.317/.288	.073	.287	4	7	24%	10%	76	+0.1	.207/.331/.267	.060	.268	4	7	21%	12%	75	-0.0
✕Cutter Dykstra 2009 · A	20	44→54	42→40	42→55	45	.215/.279/.314	.100	.288	9	7	28%	8%	65	-0.7	.213/.274/.292	.079	.296	7	14	28%	7%	56	-1.3	.236/.303/.323	.087	.313	6	16	25%	8%	75	-0.0
✕Mark Karaviotis 2017 · A	21	50	41→40	41→40	46	.234/.326/.338	.104	.320	7	6	27%	8%	92	+1.2	.230/.306/.324	.094	.328	7	4	30%	8%	79	+0.3	.223/.299/.304	.082	.318	7	3	29%	8%	69	-0.2
✕Enlly Morales 2010 · A	20	48	38→40	38→40	46	.227/.282/.314	.087	.267	5	5	17%	6%	66	-0.6	.218/.265/.285	.067	.277	3	5	21%	5%	50	-1.7	.208/.241/.241	.033	.278	0	3	24%	3%	26	-0.7
✕Andy Paz 2013 · A	20	49	36→40	44→45	50	.228/.300/.296	.067	.288	2	7	20%	8%	69	-0.4	.197/.259/.269	.072	.270	5	5	27%	8%	44	-2.1	.210/.265/.279	.069	.270	6	4	23%	7%	45	-0.5
✕Ramon Mendoza 2021 · A	20	46→48	40→45	41→45	44	.216/.286/.311	.096	.298	6	4	28%	7%	67	-0.5	.198/.271/.278	.080	.286	4	5	30%	8%	53	-1.5	.219/.298/.332	.113	.294	11	3	27%	9%	76	+0.0
✕Juan Fernandez 2019 · A	20	43→53	39→40	40→50	44	.208/.268/.294	.085	.263	6	4	23%	6%	55	-1.4	.206/.264/.297	.091	.264	7	5	24%	6%	54	-1.4	.230/.291/.312	.083	.287	8	9	22%	6%	66	-0.4
●Juan Apodaca 2007 · A	21	43→53	44→45	46→40	44	.217/.268/.325	.108	.268	12	5	24%	6%	63	-0.9	.222/.275/.324	.102	.283	11	5	25%	6%	66	-0.6	.281/.346/.393	.113	.343	10	3	20%	8%	110	+1.3
●Tyler Stephenson 2018 · A	21	45→54	40→50	43→30	44	.215/.276/.305	.091	.289	7	3	27%	7%	61	-1.0	.219/.289/.327	.108	.291	10	3	27%	7%	72	-0.2	.253/.327/.399	.146	.323	16	1	25%	9%	102	+1.3
✕Gabriel Moreno 2019 · A	19	48	40→45	46→45	43	.228/.263/.327	.099	.258	7	7	15%	4%	60	-1.0	.239/.285/.381	.142	.269	14	6	17%	5%	85	+0.7	.295/.351/.419	.124	.354	12	9	19%	7%	118	+1.4

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)