Nasim Nuñez — OGILVIE

Nasim NuñezSS Washington Nationals

Age 25 S/R 5'8" / 165 lbs MLB HR -9% Svc 1.500 · Ctrl thru 2030 peak 0.8 · 2027

wRC+†vL 10560vR 49

AVG/OBP/SLG.223 / .298 / .332

PA350

HR8

SB37

K%25

BB%9

MLB%100%

Scouting · now → future

HIT

40→40

PWR

35→35

SPD

60→60

EYE

54↗60

trajectory · 10 yrs

1.0peak

2026

Contract

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

Status Pre-Arb

MLB Debut 2024

Service 1.500 yrs.days

Team Control Through 2030

First FA Year 2027

Year	Status	Salary	Proj WAR	Value	Surplus
2026	Pre-Arb	$0.8M	+0.2	$0.8M	+$0.0M
2027	Pre-Arb	$0.8M	+0.8	$3M	+$2M
2028	Arb-1	$2M	+0.8	$3M	+$2M
2029	Arb-2	$3M	+0.7	$3M	+$0.5M
2030	Arb-3	$3M	+0.6	$3M	+$0.0M (cut)
Totals		$9M		$13M	+$5M

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
2019	18	ROK	GCL Marlins	214	188	30	4	1	0	21	62	1	28	2	.160	.248	.191	.439	.032	.234	29	10	.201	12	-21	+5	+0	+1	+6	-1.0
2021	20	A	Jupiter Hammerheads	228	200	43	1	1	0	24	61	2	33	10	.215	.305	.230	.535	.015	.307	27	11	.253	52	-12	+3	+0	+1	+6	-0.3
2022	21	A+	2 teams	549	470	103	15	2	2	67	177	3	70	16	.219	.320	.272	.593	.053	.342	32	12	.273	67	-21	+8	+0	+2	+16	0.5
2023	22	AA	2 teams	679	604	116	13	2	5	65	163	3	66	7	.192	.274	.245	.519	.053	.252	24	10	.236	39	-47	+10	+0	+2	+19	-1.5
2024	23	MLB	2 teams	113	89	22	2	0	0	17	22	0	10	4	.247	.368	.270	.638	.022	.328	19	15	.276	69	-4	+0	+2	+1	+3	0.3
2025	24	AAA	2 teams	324	290	67	7	0	6	26	88	2	45	7	.231	.299	.317	.616	.086	.307	27	8	.275	69	-11	+6	+3	+3	+9	1.1
▸ 2026 Season (actual · ROS · total)
2026	25	MLB	Washington Nationals	87	75	13	1	0	0	9	17	1	10	1	.173	.271	.187	.457	.013	.224	20	10	.218	25	-7	+2	+1	+0	+2	-0.2
ROS	25	MLB	WSH	263	234	50	5	0	5	25	62	2	27	4	.214	.295	.299	.594	.085	.270	24	10	.278	71	-9	+4	+0	+1	+7	0.4
TOT	25	MLB	WSH	350	309	63	6	0	5	34	79	3	37	5	.204	.289	.272	.561	.068	.257	23	10	.263	60	-16	+5	+2	+1	+10	0.2
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	26	MLB	WSH	411	366	80	8	1	9	39	83	3	42	6	.219	.299	.320	.619	.101	.256	20	9	.280	72	-13	+6	+0	+1	+12	0.7
2028	27	MLB	WSH	418	372	81	8	1	9	40	85	3	42	6	.218	.299	.317	.616	.099	.256	20	10	.280	72	-13	+6	+1	+1	+12	0.7
2029	28	MLB	WSH	420	373	81	8	1	9	41	86	3	42	6	.217	.300	.316	.616	.099	.256	20	10	.279	71	-14	+6	-0	+1	+12	0.6
2030	29	MLB	WSH	412	366	78	8	1	8	40	86	3	40	5	.213	.296	.306	.602	.093	.255	21	10	.277	70	-14	+6	-1	+1	+12	0.4
2031	30	MLB	WSH	406	361	77	8	1	8	40	86	2	39	5	.213	.295	.307	.603	.094	.253	21	10	.273	67	-15	+6	-2	+1	+12	0.2
2032	31	MLB	WSH	391	348	72	7	0	7	38	84	2	36	4	.207	.289	.287	.576	.080	.252	21	10	.270	65	-16	+6	-2	+1	+11	0.0
2033	32	MLB	WSH	372	331	67	7	0	6	36	82	2	32	3	.202	.285	.278	.562	.076	.250	22	10	.265	61	-16	+5	-3	+1	+11	-0.2
2034	33	MLB	WSH	342	304	61	6	0	6	33	78	2	28	3	.201	.283	.280	.563	.079	.249	23	10	.260	57	-17	+4	-4	+1	+10	-0.5
2035	34	MLB	WSH	298	265	52	5	0	4	29	70	2	24	2	.196	.280	.260	.541	.064	.247	23	10	.253	52	-16	+4	-5	+1	+8	-0.7
▸ Career Totals (MLE all levels + projections)
Career	—			5840	5161	1080	112	11	84	581	1375	35	604	90	.209	.294	.284	.578	.075	.267	24	10	.265	61	-258	+85	-10	+24	+165	0.6
/ 162G	—			650	574	119	12	1	9	65	153	4	67	10	.207	.292	.279	.571	.071	.264	24	10	.265	61	-29	+9	-1	+3	+18	0.1

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
2019	18	ROK	GCL Marlins	214	175	37	5	1	0	34	43	1	28	2	.211	.343	.251	.594	.040	.276	20	16	.283	75	-6	+5	—	—	+6	0.5
2021	20	A	Jupiter Hammerheads	228	189	46	2	1	0	35	46	2	33	10	.243	.367	.265	.632	.021	.319	20	15	.303	90	-3	+3	—	—	+6	0.7
2022	21	AA	Pensacola Blue Wahoos	171	142	37	6	0	0	24	36	2	21	5	.261	.375	.303	.678	.042	.343	21	14	.316	100	-0	+2	—	—	+5	0.7
2022	21	A+	Beloit Sky Carp	378	300	74	11	3	2	71	103	1	49	11	.247	.392	.323	.716	.077	.365	27	19	.333	113	+6	+5	—	—	+11	2.2
2023	22	AA	Pensacola Blue Wahoos	585	490	110	11	2	5	87	107	2	52	7	.224	.344	.286	.629	.061	.275	18	15	.296	85	-10	+8	—	—	+17	1.4
2023	22	INTL	Peoria Javelinas	94	79	20	3	0	0	13	20	1	14	0	.253	.366	.291	.657	.038	.333	21	14	.309	95	-1	+3	—	—	+3	0.5
2024	23	MLB	Washington Nationals	78	61	15	1	0	0	12	15	0	8	2	.246	.370	.262	.632	.016	.326	19	15	.286	77	-2	+1	+2	+1	+2	0.4
2024	23	INTL	Tigres del Licey	35	30	5	3	0	0	3	11	0	2	2	.167	.242	.267	.509	.100	.263	31	9	.222	28	-3	-0	—	—	+1	-0.2
2025	24	MLB	Washington Nationals	92	82	19	2	0	4	8	20	0	9	1	.232	.300	.402	.702	.171	.254	22	9	.307	93	-1	+1	+3	+3	+3	1.0
2025	24	AAA	Rochester Red Wings	232	201	51	6	0	2	25	58	2	36	6	.254	.342	.313	.656	.060	.343	25	11	.300	88	-3	+5	—	—	+7	0.8
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			170	143	34	3	0	4	20	35	0	17	3	.238	.331	.343	.674	.105	.286	21	12	.297	86	-3	+2	+5	+5	+5	1.4

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
Nasim Nuñez (OGILVIE)	25	40	35	60	60	.215/.293/.310	.095	.256	7	36	20%	9%	71	-0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Billy Hamilton 2016 · MLB	25	49→59	39→40	69→70	45	.235/.279/.320	.085	.284	6	61	19%	6%	65	-0.7	.243/.297/.327	.084	.304	5	55	20%	7%	74	-0.1	.242/.301/.319	.077	.310	4	55	22%	8%	70	-0.3
✕Yonny Hernández 2023 · MLB	25	46→56	36→30	61→60	54	.214/.309/.282	.068	.270	3	38	20%	10%	70	-0.3	.223/.307/.293	.070	.287	4	24	21%	10%	72	-0.2	.238/.316/.298	.060	.299	3	17	20%	9%	73	-0.1
✕Vidal Bruján 2022 · MLB	24	45→55	44→45	61→65	47	.223/.278/.340	.117	.263	11	41	19%	7%	71	-0.3	.223/.285/.340	.117	.270	11	31	21%	7%	74	-0.1	.220/.290/.331	.110	.269	10	28	21%	7%	69	-0.3
✕Everth Cabrera 2013 · MLB	26	52→59	37→40	64→65	48	.243/.306/.322	.078	.317	4	44	23%	8%	77	+0.1	.248/.307/.326	.078	.312	5	38	20%	8%	79	+0.3	.240/.296/.304	.064	.297	4	35	19%	7%	66	-0.4
✕Johneshwy Fargas 2021 · AA	26	46→49	41→45	59→65	41	.224/.281/.320	.096	.289	10	41	25%	5%	67	-0.5	.211/.266/.327	.116	.288	12	34	30%	5%	63	-0.8	.196/.253/.315	.120	.265	14	44	31%	5%	52	-0.7
✕Eric Young Jr. 2010 · MLB	25	54→60	40→45	64→65	47	.254/.316/.355	.101	.315	6	44	21%	7%	90	+1.0	.253/.323/.339	.086	.316	5	42	20%	8%	89	+1.0	.265/.336/.357	.092	.321	3	47	17%	9%	97	+1.1
✕J.D. Orr 2023 · AA	26	49	36→30	61→65	49	.227/.302/.297	.070	.305	3	39	25%	9%	70	-0.3	.209/.292/.279	.070	.299	4	31	28%	9%	62	-0.9	.159/.264/.182	.024	.248	0	34	32%	10%	24	-1.0
●Michael Bourn 2009 · MLB	26	50→60	39→45	66→65	48	.240/.298/.329	.089	.301	6	42	22%	8%	76	+0.0	.265/.330/.353	.088	.335	4	47	20%	9%	95	+1.4	.276/.342/.360	.084	.347	2	52	19%	9%	96	+1.6
✕Todd Donovan 2006 · AAA	27	51→53	42→40	65	44	.244/.302/.354	.110	.305	9	41	22%	6%	85	+0.7	.238/.296/.324	.086	.297	6	40	21%	7%	73	-0.1	.235/.307/.301	.067	.300	3	43	21%	9%	70	-0.2
●Jonathan Villar 2016 · MLB	25	48→58	42→50	62→65	43	.227/.286/.332	.105	.319	8	41	30%	7%	72	-0.2	.257/.324/.393	.136	.347	14	42	28%	9%	105	+2.1	.264/.334/.403	.139	.351	16	44	27%	9%	108	+2.1
●Freddy Guzman 2007 · MLB	26	50→60	38→45	59→70	50	.237/.297/.318	.081	.281	5	38	17%	8%	72	-0.2	.237/.291/.323	.086	.282	4	47	17%	7%	71	-0.3	.281/.333/.400	.119	.331	9	77	17%	7%	105	+1.1
✕Jarrod Dyson 2012 · MLB	27	52→57	37→40	66→70	46	.246/.296/.319	.073	.308	3	46	21%	6%	72	-0.2	.247/.306/.324	.077	.304	3	53	18%	7%	77	+0.1	.246/.315/.340	.094	.283	5	53	14%	7%	81	+0.2
✕Delino DeShields 2018 · MLB	25	49→53	41→45	57→65	51	.234/.310/.332	.098	.308	8	31	25%	10%	82	+0.5	.228/.307/.316	.088	.299	7	30	24%	10%	77	+0.1	.226/.309/.316	.089	.304	7	31	25%	10%	75	-0.0
✕Tanner Kirwer 2022 · AA	26	44	44→40	60	47	.213/.299/.327	.114	.299	12	35	31%	9%	78	+0.2	.205/.280/.300	.095	.300	11	31	33%	8%	63	-0.9	.188/.261/.257	.070	.279	8	35	33%	7%	41	-1.1
✕Alen Hanson 2018 · MLB	25	48→51	43→50	60	42	.235/.272/.350	.115	.283	9	31	21%	5%	69	-0.4	.232/.270/.366	.134	.286	13	20	23%	5%	74	-0.1	.230/.269/.366	.136	.286	12	18	24%	4%	70	-0.2
●Corey Wimberly 2009 · AA	25	55→65	36→40	61→65	46	.260/.314/.323	.063	.303	3	44	15%	5%	81	+0.4	.257/.311/.320	.063	.297	2	38	14%	5%	79	+0.3	.292/.352/.379	.087	.332	3	33	12%	5%	108	+1.2
✕Roman Quinn 2017 · MLB	24	53→56	41→45	61→65	44	.250/.307/.352	.101	.336	8	37	26%	7%	85	+0.7	.246/.301/.361	.115	.337	8	33	27%	7%	85	+0.7	.250/.306/.384	.134	.340	11	48	28%	7%	90	+0.3
✕Billy Burns 2015 · AAA	25	54→63	34→40	64→65	50	.250/.316/.308	.058	.310	1	40	18%	8%	78	+0.2	.252/.299/.322	.070	.304	3	31	17%	6%	74	-0.1	.257/.302/.319	.063	.306	2	29	16%	5%	70	-0.2
✕Braiden Ward 2023 · A	24	48→47	39→40	63→70	41	.218/.312/.303	.085	.321	6	39	31%	6%	78	+0.2	.219/.307/.306	.087	.309	5	48	29%	6%	76	+0.1	.224/.312/.311	.087	.316	5	61	27%	5%	76	+0.0
✕Lucius Fox 2022 · AAA	25	42→49	40	58→60	46	.203/.279/.300	.097	.284	7	30	29%	9%	62	-0.9	.204/.261/.302	.098	.295	9	19	32%	7%	53	-1.5	.182/.233/.258	.076	.265	8	17	33%	6%	27	-1.1

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)