Alejandro Nunez — OGILVIE

Alejandro NunezSS Asheville Tourists

Age 21 L/R 5'11" / 190 lbs A+ H +4%HR -3% Svc 0.0 · Ctrl thru 2035 peak 0.9 · 2031

wRC+†49

AVG/OBP/SLG.195 / .247 / .287

PA320

HR5

SB7

K%34

BB%6

MLB%0%

Scouting · now → future

HIT

45→45

PWR

40→40

SPD

55→55

EYE

39↘30

trajectory · 10 yrs

0.9peak

2031

Contract

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

Status MiLB

MLB Debut 2030

Service 0 yrs (est)

Team Control Through 2035

First FA Year 2036

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2030
2027	MiLB	still in minors · estimated debut 2030
2028	MiLB	still in minors · estimated debut 2030
2029	MiLB	still in minors · estimated debut 2030
2030	Arb-2	$0.9M	+0.8	$4M	+$3M
2031	Arb-3	$0.9M	+0.9	$4M	+$3M
2032	Ext / FA-deal	$0.9M	+0.9	$4M	+$3M
2033	Ext / FA-deal	$2M	+0.8	$4M	+$2M
2034	Ext / FA-deal	$2M	+0.6	$3M	+$1M
2035	Ext / FA-deal	$2M	+0.4	$2M	+$0.1M
Totals		$9M		$21M	+$13M

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 HOU Orange	212	191	44	3	3	2	10	39	10	20	5	.230	.303	.309	.612	.079	.280	18	5	.259	56	-10	+2	+0	+2	+6	-0.0
2023	18	ROK	FCL Astros	164	145	29	8	0	1	15	32	4	16	3	.200	.293	.276	.569	.076	.250	20	9	.254	53	-9	+2	+0	+2	+5	-0.0
2024	19	A	2 teams	380	351	63	12	2	3	25	148	3	18	3	.179	.240	.251	.491	.071	.299	39	7	.221	27	-31	+2	+0	+4	+11	-1.4
2025	20	A+	Asheville Tourists	402	373	75	12	2	5	15	129	4	22	9	.201	.240	.284	.524	.083	.286	32	4	.230	34	-30	+1	+0	+4	+11	-1.4
▸ 2026 Season (actual · ROS · total)
2026	21	A+	Asheville Tourists	52	50	11	2	0	3	1	13	0	0	2	.220	.235	.440	.675	.220	.229	25	2	.262	59	-2	-1	+0	+1	+1	-0.1
ROS	21	MLB	HOU	268	250	49	9	1	5	14	87	2	7	3	.196	.244	.300	.544	.104	.279	32	5	.246	47	-16	+0	+0	+3	+8	-0.6
TOT	21	MLB	HOU	320	300	60	11	1	8	15	100	2	7	5	.200	.243	.323	.566	.123	.268	31	5	.249	49	-19	-1	+0	+3	+9	-0.7
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	22	MLB 11%	HOU	459	424	88	16	2	10	28	130	4	12	5	.208	.263	.325	.589	.118	.273	28	6	.266	62	-20	+0	+0	+5	+13	-0.2
2028	23	MLB 28%	HOU	513	470	100	18	2	12	34	140	4	13	6	.213	.272	.336	.608	.123	.275	27	7	.276	69	-18	+0	+0	+5	+15	0.2
2029	24	MLB 45%	HOU	548	500	110	20	3	14	38	147	5	14	6	.220	.282	.356	.638	.136	.277	27	7	.282	74	-16	+0	+0	+6	+16	0.6
2030	25	MLB 60%	HOU	568	517	114	21	3	15	41	151	5	14	6	.221	.284	.360	.644	.139	.278	27	7	.287	77	-14	+0	+0	+6	+16	0.8
2031	26	MLB 78%	HOU	578	525	116	21	3	15	43	153	5	14	6	.221	.286	.358	.644	.137	.278	26	7	.288	79	-14	+0	+0	+6	+16	0.9
2032	27	MLB 92%	HOU	579	525	116	21	3	15	44	154	5	13	6	.221	.287	.358	.646	.137	.278	27	8	.288	79	-14	+0	+0	+6	+16	0.9
2033	28	MLB	HOU	575	521	115	21	3	15	44	154	5	12	5	.221	.288	.359	.647	.138	.278	27	8	.287	78	-14	+0	-1	+6	+16	0.8
2034	29	MLB	HOU	566	512	111	20	2	15	44	153	5	11	5	.217	.285	.352	.637	.135	.277	27	8	.285	76	-15	+0	-1	+6	+16	0.6
2035	30	MLB	HOU	556	503	107	19	2	14	43	153	5	10	4	.213	.281	.342	.623	.129	.275	28	8	.282	74	-16	+0	-2	+6	+16	0.4
2036	31	MLB	HOU	542	491	104	19	2	13	42	151	4	8	4	.212	.279	.338	.617	.126	.274	28	8	.278	71	-18	+0	-3	+6	+15	0.1
2037	32	MLB	HOU	524	475	99	18	2	12	40	149	4	7	3	.208	.276	.331	.606	.122	.272	28	8	.274	68	-19	+0	-4	+6	+15	-0.2
2038	33	MLB	HOU	494	449	92	16	2	11	38	144	4	6	3	.205	.273	.323	.596	.118	.270	29	8	.268	63	-20	+0	-4	+5	+14	-0.5
2039	34	MLB	HOU	448	408	81	14	2	9	34	134	3	5	3	.199	.265	.309	.574	.110	.269	30	8	.262	58	-21	-0	-5	+5	+13	-0.9
▸ Career Totals (MLE all levels + projections)
Career	—			8376	7630	1613	288	39	186	592	2348	81	222	85	.211	.275	.333	.608	.121	.278	28	7	.272	67	-317	+10	-20	+90	+237	0.1
/ 162G	—			650	592	124	22	3	14	46	182	6	17	7	.209	.273	.328	.601	.118	.276	28	7	.272	67	-25	+1	-2	+7	+18	-0.0

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
2022	17	ROK	DSL HOU Orange	212	181	53	4	4	2	20	26	10	20	5	.293	.393	.392	.786	.099	.333	12	9	.358	132	+8	+2	—	—	+6	1.6
2023	18	ROK	FCL Astros	164	135	35	10	0	1	25	24	4	16	3	.259	.390	.356	.746	.096	.309	15	15	.348	124	+4	+2	—	—	+5	1.1
2024	19	A+	Asheville Tourists	42	38	7	1	1	0	4	15	0	0	0	.184	.262	.263	.525	.079	.304	36	10	.243	44	-3	+0	—	—	+1	-0.1
2024	19	A	Fayetteville Woodpeckers	338	297	76	17	2	4	36	92	3	18	3	.256	.341	.367	.708	.111	.356	27	11	.322	104	+2	+2	—	—	+10	1.4
2025	20	A+	Asheville Tourists	402	360	97	19	2	8	26	96	4	22	9	.269	.324	.400	.724	.131	.340	24	6	.316	100	-0	+1	—	—	+11	1.2

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
Alejandro Nunez (OGILVIE)	21	45	40	55	30	.195/.247/.287	.092	.287	5	9	34%	6%	44	-1.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Ricardo Méndez 2021 · A	21	43	39→45	54→50	40	.206/.263/.293	.087	.303	7	13	33%	6%	52	-1.6	.215/.257/.315	.100	.316	7	12	32%	5%	54	-1.4	.210/.249/.305	.095	.301	6	14	31%	5%	45	-1.2
✕Raynel Delgado 2022 · A	22	38→48	40→45	47→60	36	.188/.241/.276	.088	.286	8	13	36%	6%	39	-2.5	.212/.279/.309	.097	.297	8	17	29%	7%	63	-0.8	.240/.303/.338	.098	.325	8	32	27%	7%	77	+0.1
✕Hoy Park 2017 · A	21	39→49	38→45	58→55	45	.188/.259/.276	.088	.265	5	16	29%	8%	46	-2.0	.210/.284/.296	.086	.280	6	17	25%	8%	63	-0.9	.229/.318/.327	.099	.300	9	17	24%	11%	81	+0.3
✕Marcus Lee Sang 2022 · A	21	40→42	42→45	50	35	.194/.241/.297	.104	.308	10	13	39%	6%	44	-2.1	.204/.265/.321	.117	.328	12	14	39%	7%	61	-1.0	.200/.262/.318	.118	.310	13	15	37%	7%	55	-1.0
✕Thomas Milone 2016 · A	21	43→46	36→45	50→55	40	.206/.254/.272	.067	.282	3	13	27%	5%	42	-2.3	.198/.252/.266	.068	.286	3	12	30%	6%	40	-2.4	.233/.289/.354	.121	.330	9	17	30%	6%	75	+0.0
✕José Tena 2022 · A	21	45→54	44→45	48→55	34	.219/.256/.336	.117	.316	11	9	34%	4%	60	-1.0	.231/.273/.356	.125	.338	12	11	33%	5%	73	-0.1	.244/.300/.367	.123	.348	11	21	31%	7%	84	+0.5
✕Ryan Mount 2008 · A	21	43	42→50	51→50	42	.211/.267/.313	.102	.287	10	13	29%	7%	59	-1.1	.225/.266/.352	.127	.289	14	11	27%	5%	69	-0.4	.243/.288/.385	.141	.304	15	8	25%	5%	86	+0.3
✕Dustin Fowler 2016 · A	21	45→52	42→55	51→55	37	.221/.247/.324	.103	.282	9	14	25%	3%	53	-1.5	.240/.266/.373	.133	.294	11	18	22%	3%	73	-0.1	.248/.273/.399	.151	.298	13	21	21%	3%	79	+0.2
✕Rudy Martin Jr. 2017 · A	21	45	38→45	58→60	42	.206/.279/.289	.084	.317	4	19	34%	8%	59	-1.1	.196/.258/.288	.092	.320	7	28	38%	7%	50	-1.8	.220/.298/.337	.116	.314	13	41	32%	9%	74	-0.0
✕Greg Golson 2007 · A	21	39→49	41→45	53→55	32	.193/.229/.296	.102	.288	9	17	35%	4%	38	-2.6	.214/.246/.322	.108	.326	10	19	36%	4%	52	-1.6	.259/.313/.348	.089	.368	5	31	29%	5%	82	+0.2
✕Darrell Ceciliani 2011 · A	21	43→53	38→45	52→55	41	.206/.262/.282	.077	.274	6	13	26%	6%	49	-1.8	.227/.280/.315	.088	.304	6	16	26%	6%	65	-0.7	.253/.292/.362	.109	.339	9	26	27%	4%	80	+0.2
✕Ryan McKenna 2018 · A	21	43→53	42→50	52→55	39	.210/.265/.317	.107	.297	9	12	31%	6%	59	-1.1	.226/.289/.332	.106	.311	9	12	28%	7%	73	-0.1	.218/.295/.357	.140	.319	16	13	34%	9%	80	+0.2
✕Gosuke Katoh 2016 · A	21	40→49	39→45	50	43	.188/.263/.273	.085	.306	7	12	38%	9%	47	-1.9	.202/.270/.291	.089	.314	6	11	34%	8%	55	-1.4	.217/.286/.317	.100	.316	9	12	32%	8%	65	-0.5
✕Tyler Goeddel 2014 · A	21	44→49	40→45	59→55	41	.210/.263/.309	.099	.290	7	20	29%	6%	56	-1.3	.223/.279/.336	.113	.300	9	18	27%	6%	70	-0.3	.225/.286/.343	.117	.296	10	18	26%	7%	72	-0.1
✕LeVon Washington 2012 · A	21	44	39→45	51→50	46	.205/.280/.288	.083	.305	6	13	32%	9%	59	-1.1	.234/.309/.335	.101	.341	7	12	30%	9%	82	+0.5	.246/.314/.364	.118	.341	8	12	28%	8%	89	+0.4
✕Travis Swaggerty 2019 · A	21	39→45	41→45	50→55	40	.195/.252/.295	.100	.280	9	8	32%	6%	48	-1.9	.208/.273/.306	.098	.298	9	15	31%	8%	60	-1.0	.207/.275/.308	.100	.303	8	19	32%	8%	58	-0.7
✕Jason Denham 2008 · A	22	42→43	38→40	51→55	43	.203/.259/.275	.072	.276	6	16	28%	7%	46	-2.0	.221/.279/.314	.093	.282	9	18	24%	7%	65	-0.7	.227/.292/.316	.089	.272	11	27	20%	8%	69	-0.2
✕Jeremy Moore 2008 · A	21	39→49	45→50	49→55	35	.196/.243/.319	.124	.292	13	13	37%	5%	51	-1.7	.210/.249/.355	.145	.314	15	16	37%	5%	63	-0.9	.237/.274/.385	.148	.338	14	19	33%	4%	78	+0.2
✕Victor Labrada 2022 · A	22	47→53	41→45	52→60	41	.219/.283/.323	.105	.334	7	20	35%	7%	69	-0.4	.203/.265/.302	.099	.310	8	24	35%	7%	56	-1.3	.227/.304/.334	.106	.305	9	41	26%	8%	77	+0.1
✕Justin Trapp 2012 · A	21	42→45	38→45	54→55	38	.200/.254/.279	.078	.296	5	20	33%	6%	45	-2.1	.214/.270/.315	.101	.294	9	16	29%	6%	61	-1.0	.213/.269/.307	.093	.289	9	15	28%	6%	55	-1.2

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)