Javier Sanoja — OGILVIE

Javier Sanoja2B Miami Marlins

Age 23 R/R 5'7" / 150 lbs MLB HR -4%BB +3% Svc 1.134 · Ctrl thru 2030 peak 2.4 · 2029

wRC+†vL 88101vR 99

AVG/OBP/SLG.251 / .299 / .377

PA452

HR7

SB12

K%12

BB%6

MLB%100%

Scouting · now → future

HIT

55→55

PWR

35→35

SPD

55→55

EYE

42↗50

trajectory · 10 yrs

2.1peak

2029

Contract

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

Status Pre-Arb

MLB Debut 2024

Service 1.134 yrs.days

Team Control Through 2030

First FA Year 2027

Year	Status	Salary	Proj WAR	Value	Surplus
2026	Pre-Arb	$0.8M	+1.8	$14M	+$14M
2027	Pre-Arb	$0.8M	+2.0	$16M	+$16M
2028	Arb-1	$5M	+2.2	$19M	+$14M
2029	Arb-2	$9M	+2.4	$21M	+$12M
2030	Arb-3	$13M	+2.4	$22M	+$8M
Totals		$28M		$92M	+$64M

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
2021	18	ROK	DSL Marlins	244	227	43	8	1	2	10	16	6	11	5	.189	.243	.260	.503	.070	.195	7	4	.217	24	-21	+0	+0	+1	+7	-1.3
2022	19	A	3 teams	533	493	105	15	3	8	25	90	2	21	10	.213	.254	.304	.558	.091	.240	17	5	.243	44	-34	+0	+0	+2	+15	-1.7
2023	20	A	3 teams	652	613	165	21	6	4	33	64	2	40	23	.269	.309	.343	.651	.073	.294	10	5	.287	78	-16	-1	+0	+2	+18	0.3
2024	21	AAA	3 teams	589	543	143	31	6	7	33	47	2	17	7	.263	.308	.381	.689	.118	.274	8	6	.298	86	-9	+1	-1	+2	+17	1.0
2025	22	MLB	Miami Marlins	342	313	77	22	5	6	19	41	2	6	5	.246	.293	.406	.699	.160	.263	12	6	.297	85	-6	-1	+1	+1	+10	0.6
▸ 2026 Season (actual · ROS · total)
2026	23	MLB	Miami Marlins	58	54	19	3	0	0	4	6	0	2	1	.352	.397	.407	.804	.056	.396	10	7	.360	134	+2	+0	+0	+0	+2	0.4
ROS	23	MLB	MIA	394	365	98	21	4	5	24	45	2	10	3	.268	.317	.389	.706	.121	.290	11	6	.311	96	-2	+1	+1	+1	+11	1.3
TOT	23	MLB	MIA	452	419	117	24	4	5	28	51	2	12	4	.279	.327	.391	.719	.112	.307	11	6	.317	101	+1	+1	+2	+2	+13	1.8
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	24	MLB	MIA	489	454	123	26	5	8	30	50	2	12	3	.271	.319	.403	.722	.132	.287	10	6	.317	101	+0	+1	+2	+2	+14	1.9
2028	25	MLB	MIA	499	462	125	26	5	8	32	51	2	12	3	.271	.321	.400	.721	.130	.288	10	6	.322	104	+2	+1	+2	+2	+14	2.2
2029	26	MLB	MIA	503	463	127	26	5	9	33	51	2	12	3	.274	.325	.410	.736	.136	.289	10	7	.325	107	+4	+1	+2	+2	+14	2.3
2030	27	MLB	MIA	498	460	126	26	5	9	33	51	2	12	3	.274	.325	.411	.736	.137	.289	10	7	.325	107	+4	+1	+2	+2	+14	2.3
2031	28	MLB	MIA	490	452	123	26	4	9	33	51	2	11	3	.272	.324	.407	.732	.135	.288	10	7	.324	106	+3	+1	+1	+2	+14	2.1
2032	29	MLB	MIA	478	441	119	25	4	8	32	51	2	10	2	.270	.322	.399	.721	.129	.288	11	7	.322	104	+2	+1	+0	+2	+14	1.9
2033	30	MLB	MIA	466	429	115	24	4	8	32	52	2	9	2	.268	.322	.399	.720	.131	.287	11	7	.319	102	+1	+1	-0	+2	+13	1.7
2034	31	MLB	MIA	451	415	110	23	4	7	31	52	2	6	1	.265	.319	.390	.710	.125	.286	12	7	.315	99	-0	+1	-1	+2	+13	1.4
2035	32	MLB	MIA	432	398	104	21	4	6	29	52	2	4	0	.261	.315	.379	.694	.118	.285	12	7	.310	96	-2	+1	-2	+2	+12	1.1
2036	33	MLB	MIA	402	371	94	19	3	5	27	51	1	2	0	.253	.306	.361	.667	.108	.284	13	7	.304	91	-4	+0	-3	+1	+11	0.7
2037	34	MLB	MIA	357	329	83	17	3	4	24	48	1	1	0	.252	.305	.359	.664	.106	.282	13	7	.298	86	-6	+0	-4	+1	+10	0.2
2038	35	MLB	MIA	303	279	70	14	3	3	20	44	1	0	0	.251	.303	.355	.658	.104	.280	15	7	.290	80	-7	+0	-5	+1	+9	-0.2
2039	36	MLB	MIA	245	226	55	11	2	2	16	38	1	0	0	.243	.296	.336	.633	.093	.278	16	7	.282	74	-7	+0	-5	+1	+7	-0.5
▸ Career Totals (MLE all levels + projections)
Career	—			8367	7733	2005	402	76	118	516	945	38	196	73	.259	.309	.377	.685	.117	.281	11	6	.303	90	-96	+10	-9	+30	+237	17.5
/ 162G	—			650	601	155	31	6	9	40	73	3	15	6	.258	.307	.374	.682	.116	.279	11	6	.303	90	-7	+1	-1	+2	+18	1.3

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
2021	18	ROK	DSL Marlins	244	219	51	11	1	3	18	11	6	11	5	.233	.309	.333	.642	.100	.233	5	7	.293	83	-5	+0	—	—	+7	0.2
2022	19	A	Jupiter Hammerheads	286	268	64	6	4	3	13	41	1	9	6	.239	.277	.325	.601	.086	.268	14	5	.267	63	-12	-1	—	—	+8	-0.5
2022	19	ROK	FCL Marlins	124	107	34	10	1	3	13	6	0	9	3	.318	.392	.514	.906	.196	.307	5	10	.386	154	+8	+1	—	—	+4	1.2
2022	19	INTL	Cardenales de Lara	123	112	30	5	2	0	5	3	1	3	1	.268	.305	.348	.653	.080	.268	2	4	.282	74	-4	+0	—	—	+3	0.0
2023	20	A+	Beloit Sky Carp	142	131	35	2	0	3	10	10	1	6	6	.267	.324	.351	.675	.084	.271	7	7	.308	94	-1	-1	—	—	+4	0.2
2023	20	A	Jupiter Hammerheads	434	400	123	18	8	1	31	32	0	31	16	.307	.357	.400	.757	.093	.331	7	7	.338	117	+8	-0	—	—	+12	2.1
2023	20	INTL	Cardenales de Lara	76	72	21	1	2	1	2	2	1	3	1	.292	.320	.403	.723	.111	.286	3	3	.317	101	+0	+0	—	—	+2	0.2
2024	21	MLB	Miami Marlins	36	35	8	2	0	0	1	4	0	0	0	.229	.250	.286	.536	.057	.258	11	3	.242	43	-2	+0	-1	+2	+1	0.0
2024	21	AAA	Jacksonville Jumbo Shrimp	492	436	127	31	6	6	44	30	2	14	6	.291	.359	.431	.790	.140	.297	6	9	.346	123	+13	+0	—	—	+14	2.8
2024	21	AA	Pensacola Blue Wahoos	61	57	14	1	0	1	3	6	0	3	1	.246	.283	.316	.599	.070	.255	10	5	.267	63	-3	+0	—	—	+2	-0.1
2025	22	MLB	Miami Marlins	342	313	76	22	4	6	19	41	2	6	5	.243	.290	.396	.687	.153	.259	12	6	.297	86	-5	-1	+1	+1	+10	0.6
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			378	348	84	24	4	6	20	45	2	6	5	.241	.286	.385	.672	.144	.259	12	5	.292	82	-8	-1	+0	+3	+11	0.6

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
Javier Sanoja (OGILVIE)	23	55	35	55	50	.265/.312/.383	.119	.285	6	11	10%	6%	96	+1.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Jose Aguilar 2013 · AAA	23	55→60	40→45	50→55	47	.261/.316/.351	.090	.305	7	16	17%	6%	89	+1.0	.274/.327/.373	.099	.314	8	16	15%	6%	99	+1.7	.282/.339/.384	.102	.318	8	16	13%	6%	103	+1.3
●Nico Hoerner 2020 · MLB	23	49→59	43→45	49→60	46	.238/.282/.351	.113	.263	10	10	14%	5%	75	-0.0	.246/.305/.344	.098	.284	7	14	15%	7%	83	+0.6	.286/.346/.385	.099	.311	7	31	10%	7%	108	+2.5
✕Tyler Pastornicky 2013 · MLB	23	52→61	41→45	52→60	47	.251/.295/.353	.102	.287	8	19	16%	6%	80	+0.4	.250/.291/.334	.084	.294	6	12	16%	5%	74	-0.1	.253/.295/.319	.066	.297	4	10	16%	5%	67	-0.3
●Andrelton Simmons 2013 · MLB	23	55→61	39→45	50	47	.260/.301/.353	.093	.286	5	15	11%	5%	83	+0.6	.249/.295/.360	.111	.264	10	8	10%	6%	83	+0.6	.282/.331/.398	.116	.298	10	14	9%	6%	104	+2.0
✕Tyler Freeman 2023 · MLB	24	54→56	40	48→55	47	.260/.325/.352	.091	.290	8	10	13%	5%	95	+1.4	.246/.324/.350	.104	.278	9	18	15%	7%	94	+1.3	.238/.325/.337	.099	.270	8	24	14%	7%	89	+0.6
✕Nick Madrigal 2020 · AAA	23	55→57	37→40	52→50	51	.256/.304/.334	.078	.264	4	23	6%	5%	79	+0.3	.263/.311/.338	.075	.283	4	15	8%	5%	83	+0.6	.271/.324/.354	.083	.298	3	10	10%	5%	91	+0.5
●Kevin Newman 2017 · AA	23	56→63	39→45	49→50	51	.267/.321/.354	.088	.295	6	11	12%	6%	92	+1.2	.258/.298/.347	.089	.294	6	14	14%	5%	80	+0.4	.274/.318/.369	.096	.306	8	18	13%	5%	90	+0.8
●Matt Duffy 2015 · MLB	24	56→65	41→45	53→50	46	.269/.318/.375	.106	.323	8	17	19%	6%	96	+1.5	.274/.320/.390	.116	.320	10	13	17%	6%	101	+1.8	.280/.335/.384	.104	.326	9	12	16%	7%	102	+1.6
✕Jose Tabata 2012 · MLB	23	57→61	41→45	52→55	51	.274/.332/.377	.103	.315	7	24	15%	7%	102	+1.9	.260/.320/.362	.102	.302	6	14	15%	7%	94	+1.3	.258/.315/.351	.092	.298	4	8	14%	6%	87	+0.6
✕Ronny Cedeno 2006 · MLB	23	57	45	51→50	46	.279/.321/.402	.123	.311	13	16	15%	5%	105	+2.1	.260/.296/.371	.111	.307	11	11	18%	5%	85	+0.7	.249/.298/.373	.124	.292	14	9	19%	6%	83	+0.3
✕Luis Rivas 2004 · MLB	24	53→55	43→50	55	49	.255/.306/.374	.118	.286	9	20	14%	6%	91	+1.1	.241/.281/.368	.127	.268	11	17	14%	5%	79	+0.3	.223/.278/.325	.102	.251	9	11	15%	6%	64	-0.4
✕Nicky Lopez 2019 · AAA	24	53→61	39→40	52→55	51	.253/.307/.339	.087	.282	6	14	13%	7%	82	+0.5	.251/.307/.336	.085	.286	5	12	13%	7%	81	+0.4	.256/.317/.334	.078	.294	4	14	13%	8%	82	+0.4
●Chin-Lung Hu 2007 · AA	23	53→61	40→45	49→50	46	.254/.294/.346	.092	.285	7	12	14%	5%	79	+0.3	.259/.293/.370	.111	.292	9	11	14%	4%	84	+0.6	.266/.297/.377	.110	.298	8	11	13%	4%	82	+0.4
✕Johnny Giavotella 2012 · MLB	25	55→59	41→45	49→50	48	.262/.308/.368	.106	.300	7	12	16%	6%	90	+1.0	.259/.308/.363	.104	.297	8	11	15%	6%	89	+0.9	.254/.307/.354	.100	.287	8	12	14%	6%	85	+0.6
✕Kevin Frandsen 2006 · AAA	24	59→64	41→45	46→50	47	.281/.331/.386	.106	.305	6	14	11%	4%	105	+2.1	.267/.324/.375	.108	.293	7	11	11%	5%	99	+1.7	.272/.316/.368	.096	.296	5	5	10%	3%	91	+0.7
✕Roberto Valenzuela 2019 · AAA	24	49→57	41→40	47→45	50	.237/.292/.338	.101	.261	9	8	13%	6%	76	+0.1	.260/.306/.366	.106	.297	11	9	16%	5%	89	+0.9	.276/.322/.372	.096	.314	10	8	15%	5%	92	+1.0
✕Otto Lopez 2022 · AAA	23	55→59	39→45	52→55	44	.262/.307/.356	.094	.324	6	17	21%	5%	86	+0.8	.257/.307/.355	.098	.319	6	18	20%	6%	85	+0.7	.266/.318/.393	.127	.299	13	20	16%	7%	97	+1.0
●Ramón Urías 2017 · AAA	23	53→61	41→50	47→50	43	.255/.315/.355	.101	.306	9	13	19%	5%	91	+1.1	.253/.321/.400	.147	.305	15	10	22%	6%	105	+2.1	.254/.322/.393	.139	.324	14	3	25%	7%	101	+1.2
✕Alexi Amarista 2012 · MLB	23	53→60	39→45	52→55	45	.252/.291/.351	.099	.291	5	18	15%	5%	78	+0.2	.234/.273/.332	.098	.268	7	14	15%	5%	66	-0.6	.233/.270/.292	.060	.283	5	14	19%	5%	49	-0.6
✕Brent Abernathy 2002 · MLB	24	53	44→40	49→50	55	.256/.317/.379	.123	.275	11	13	12%	8%	97	+1.5	.236/.287/.324	.088	.256	6	12	10%	6%	70	-0.3	.251/.299/.323	.072	.278	6	15	12%	6%	72	-0.2

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)