Luis Matos — OGILVIE

Luis MatosRF Nashville Sounds

Age 24 R/R 5'11" / 205 lbs AAA HR +10%K +6% Svc 3.000 · Ctrl thru 2028

2026 ROS PROJECTION298 act + 9 ros · stats below = ROS only

showingROS

wRC+†vL 7977vR 71

AVG/OBP/SLG—

PA1

HR0

K%11

BB%11

BABIP239

ISO158

MLB%10%

Value2026 · WAR

2026 MLB RUNS · solid = so far · light = projected ROS (park-applied)

━ projected WAR━ paid WAR ($/8M) surplus deficit-$0M ctrl surplus

Tools · Splits · ContractCON 45 / POW 45

Toolsscout grade · Statcast %ile · 2024-2026

CONTACT45

Whiff%

798.0%

xAVG

130.221

POWER45

Barrel%

295.5

Avg EV

2687.3

Bat Spd

5271.6

EYE35

Chase%

1538.5%

SPEED50

Sprint

3626.8

Platoon Splits2024-2025 · 340 PA

vs LHP

vs RHP

Edge

137

203

—

wRC+

▶R

wOBA

271

284

▶R

ISO

215

142

◀◀L

BABIP

181

245

▶▶R

17.5%

13.3%

▶▶R

BB%

3.6%

4.9%

▶▶R

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

Status Arb-1

MLB Debut 2023

Service 3.000 yrs.days

Team Control Through 2028

First FA Year 2029

Year	Status	Salary	Proj WAR	Value	Surplus
2026ROS	Arb-1	$0.0M	—	—	—
2027	Arb-2	$0.4M	—	—	—
2028	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$-1M	+$0.0M

Career Stats + Projections

Real MLB stats plus park-adjusted projections — this season (so far / rest / full), then future seasons and career totals.

show model inputsbasis chips: RAW = as recorded · CTX = with park/league context · A+C = actual + context combined · MLE = level/park-neutral

Methodology▸ how these numbers are built

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	MLB%	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
▸ Career — actual stats, one row per stint (as recorded, no adjustments)
2019	17	ROK	AZL Giants Orange	—	290	251	92	25	2	7	20	31	15	21	3	367	444	566	1.010	199	392	11	7	439	183	+29	+3	—	—	+6	3.9
2021	19	A	San Jose Giants	—	491	451	141	35	1	15	28	61	7	21	5	313	362	494	857	182	332	12	6	375	140	+23	+2	—	—	+11	3.7
2022	20	A+	Eugene Emeralds	—	407	369	78	14	1	11	27	65	7	11	3	211	278	344	622	133	226	16	7	279	75	-12	+1	—	—	+9	-0.2
2022	20	INTL	Scottsdale Scorpions	—	93	86	20	3	1	2	5	20	1	1	2	233	283	360	643	128	277	22	5	285	79	-2	-1	—	—	+2	-0.1
2023	21	MLB	San Francisco Giants	—	253	228	57	13	1	2	20	33	3	3	0	250	319	342	661	92	285	13	8	299	89	-3	+1	-6	+2	+5	-0.1
2023	21	AAA	Sacramento River Cats	—	152	139	49	7	2	9	11	11	1	6	1	353	404	626	1.030	273	336	7	7	443	186	+16	+1	—	—	+3	2.0
2023	21	AA	Richmond Flying Squirrels	—	133	115	35	7	0	3	17	12	1	9	4	304	398	443	842	139	320	9	13	379	143	+7	+0	—	—	+3	1.0
2024	22	MLB	San Francisco Giants	—	156	150	32	5	0	5	5	24	0	0	0	213	239	347	585	133	221	15	3	258	61	-7	+0	-5	+3	+3	-0.6
2024	22	AAA	Sacramento River Cats	—	375	328	84	22	0	14	28	40	11	8	2	256	335	451	786	195	248	11	7	343	118	+8	+1	—	—	+8	1.7
2024	22	INTL	Tiburones de La Guaira	—	235	220	66	20	1	10	12	23	3	3	1	300	345	536	881	236	299	10	5	384	146	+13	+0	—	—	+5	1.9
2025	23	MLB	San Francisco Giants	—	184	172	38	9	1	8	11	27	0	4	0	221	268	424	692	203	217	15	6	302	91	-2	+1	-6	-4	+4	-0.8
2025	23	AAA	Sacramento River Cats	—	159	147	43	11	0	7	8	20	1	6	0	293	333	510	844	218	293	13	5	362	131	+6	+1	—	—	+3	1.1
2025	23	INTL	Tiburones de La Guaira	—	68	65	7	1	0	0	2	5	0	0	0	108	134	123	257	15	115	7	3	119	-33	-11	+0	—	—	+1	-0.9
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	593	550	127	27	2	15	36	84	3	7	0	231	282	369	651	138	247	14	6	289	82	-13	+1	-16	+0	+13	-1.5
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2019	17	ROK MLE	AZL Giants Orange	—	290	259	70	17	1	6	12	45	15	21	3	270	339	413	752	143	291	16	4	319	102	+1	+3	—	—	+6	1.0
2021	19	A MLE	San Jose Giants	—	491	463	121	27	1	12	16	86	7	21	5	261	296	402	698	140	290	18	3	298	88	-7	+2	—	—	+11	0.6
2022	20	A+ MLE	Eugene Emeralds	—	407	378	61	10	1	8	18	88	7	11	3	161	213	257	470	95	183	22	4	206	26	-36	+1	—	—	+9	-2.7
2023	21	MLB MLE	San Francisco Giants	—	253	228	58	13	1	2	20	33	3	3	0	254	323	346	669	92	285	13	8	301	90	-3	+1	-6	+2	+5	-0.1
2023	21	AAA MLE	Sacramento River Cats	—	152	142	43	6	2	7	8	13	1	6	1	303	344	521	865	218	283	9	5	353	125	+5	+1	—	—	+3	0.9
2023	21	AA MLE	Richmond Flying Squirrels	—	133	120	33	6	0	3	12	15	1	9	4	275	346	400	746	125	296	11	9	325	106	+1	+0	—	—	+3	0.4
2024	22	MLB MLE	San Francisco Giants	—	156	150	32	5	0	5	5	24	0	0	0	213	239	347	585	133	221	15	3	259	61	-7	+0	-5	+3	+3	-0.6
2024	22	AAA MLE	Sacramento River Cats	—	375	337	71	17	0	11	19	48	11	8	2	211	275	359	634	148	204	13	5	279	75	-11	+1	—	—	+8	-0.2
2025	23	MLB MLE	San Francisco Giants	—	184	172	39	9	1	9	11	27	0	4	0	227	273	448	721	221	217	15	6	309	95	-1	+1	-6	-4	+4	-0.7
2025	23	AAA MLE	Sacramento River Cats	—	159	149	36	9	0	6	6	26	1	6	0	242	276	423	698	181	238	16	4	292	84	-3	+1	—	—	+3	0.2
2019	17	ROK MLE	AZL Giants Orange	—	290	259	70	17	1	6	12	45	15	21	3	270	339	413	752	143	302	16	4	319	102	—	—	—	—	—	—
2019	17	ROK RAW	AZL Giants Orange	—	290	251	92	25	2	7	20	31	15	21	3	367	444	566	1.010	199	392	11	7	439	102	—	—	—	—	—	—
2021	19	A MLE	San Jose Giants	—	491	463	121	27	1	12	16	86	7	21	5	261	296	402	698	140	295	18	3	298	88	—	—	—	—	—	—
2021	19	A RAW	San Jose Giants	—	491	451	141	35	1	15	28	61	7	21	5	313	362	494	857	182	332	12	6	375	88	—	—	—	—	—	—
2022	20	A+ MLE	2 teams	—	500	465	76	13	1	10	22	108	8	12	5	163	214	260	474	97	188	22	4	206	26	—	—	—	—	—	—
2022	20	A+ RAW	2 teams	—	500	455	98	17	2	13	32	85	8	12	5	215	279	347	626	132	235	17	6	280	26	—	—	—	—	—	—
2023	21	MLB MLE	3 teams	—	538	490	134	25	3	12	40	61	5	18	5	273	335	410	745	137	293	11	7	322	104	+3	+2	-6	+2	+12	1.2
2023	21	MLB RAW	3 teams	—	538	482	141	27	3	14	48	56	5	18	5	293	363	448	811	156	308	10	9	360	104	+3	+2	-6	+2	+12	1.2
2024	22	AAA MLE	3 teams	—	766	708	150	31	0	24	35	103	14	11	3	212	263	357	620	145	214	13	5	273	71	—	—	—	—	—	—
2024	22	AAA RAW	3 teams	—	766	698	182	47	1	29	45	87	14	11	3	261	318	456	774	195	259	11	6	338	71	—	—	—	—	—	—
2025	23	MLB MLE	3 teams	—	411	385	89	22	1	17	20	63	1	10	0	231	271	426	697	195	232	15	5	301	90	-5	+2	-6	-4	+9	-0.4
2025	23	MLB RAW	3 teams	—	411	384	88	21	1	15	21	52	1	10	0	229	271	406	677	177	227	13	5	295	90	-5	+2	-6	-4	+9	-0.4
2019	17	ROK MLE	AZL Giants Orange	—	290	261	70	17	1	6	12	45	15	21	3	268	339	410	749	142	291	16	4	319	102	—	—	—	—	—	—
2021	19	A MLE	San Jose Giants	—	491	465	121	27	1	12	16	86	7	21	5	260	296	400	696	140	290	18	3	298	88	—	—	—	—	—	—
2022	20	A+ MLE	2 teams	—	500	466	76	13	1	10	22	108	8	12	5	163	214	260	474	97	183	22	4	206	26	—	—	—	—	—	—
2023	21	MLB MLE	3 teams	—	538	488	134	25	3	12	40	61	5	18	5	275	335	412	746	137	287	11	7	322	104	—	—	—	—	—	—
2024	22	AAA MLE	3 teams	—	766	711	150	31	0	24	35	103	14	11	3	211	263	356	619	145	209	13	5	273	71	—	—	—	—	—	—
2025	23	MLB MLE	3 teams	—	411	387	89	22	1	17	20	63	1	10	0	230	271	424	695	194	227	15	5	301	90	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	21	MLB MLE	3 teams	—	538	488	134	25	3	12	40	61	5	18	5	275	335	412	746	137	287	11	7	322	104	—	—	—	—	—	—
2024	22	AAA MLE	3 teams	—	766	711	150	31	0	24	35	103	14	11	3	211	263	356	619	145	209	13	5	273	71	—	—	—	—	—	—
2025	23	MLB MLE	3 teams	—	411	387	89	22	1	17	20	63	1	10	0	230	271	424	695	194	227	15	5	301	90	—	—	—	—	—	—
YTD	24	AAA MLE	MIL	—	298	275	55	9	2	4	17	41	4	10	6	200	257	291	548	91	220	14	6	238	47	-19	-0	+1	-3	+6	-1.5
▸ 2026 season
▸ 2026 season — so far · projected rest · full
SO FAR	24	MLB RAW	MIL	—	21	20	4	0	0	0	1	7	0	0	0	200	238	200	438		308	33	5	206	47	-1	+0	+1	-3	+0	-0.3
YTD	24	AAA RAW	MIL	—	277	248	58	11	2	5	23	28	4	10	6	234	309	355	664	121	244	10	8	299	47	—	—	—	—	—	—
YTD	24	MLB RAW	MIL	—	21	20	4	0	0	0	1	7	0	0	0	200	238	200	438		308	33	5	206	25	—	—	—	—	—	—
ROS	24	AAA MLE	MIL	10%	9	8	1	0	0	0	1	1	0	0	0	125	222	125	347		241	11	11	282	77	-0	+0	-0	-0	+0	-0.0
ROS	24	MLB CTX	MIL	10%	1	1	0	0	0	0	0	0	0	0	0						239	0	0	274	77	-0	+0	-0	-0	+0	-0.0
FULL	24	MLB A+C	MIL	—	22	21	4	0	0	0	1	7	0	0	0	190	227	190	418		286	32	5	209	48	-1	+0	+1	-0	+0	-0.0
TOT	24	AAA MLE	MIL	—	307	283	56	9	2	4	18	42	4	10	6	198	256	286	542	88	218	14	6	240	48	-19	-0	+1	-3	+7	-1.6
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	25	MLB MLE	MIL	35%	470	434	98	19	2	12	27	69	6	12	5	226	281	362	642	136	241	15	6	283	78	-12	+0	-2	-5	+10	-0.9
2027	25	MLB CTX	MIL	35%	163	151	33	6	1	4	9	24	2	4	2	219	272	351	623	132	239	15	6	275	78	-4	+0	-1	-2	+4	-0.3
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	757	702	160	33	3	19	45	108	5	11	2	228	279	365	644	137	244	14	6	286	78	-17	+1	-17	-2	+16	-1.8
/ 162G	—	A+C		—	650	603	137	28	3	16	39	93	4	9	2	227	279	363	642	136	243	14	6	286	78	-15	+1	-15	-1	+14	-1.6
Career	—	MLE		—	3475	3212	739	154	9	93	173	536	56	105	26	230	281	370	652	140	247	15	5	283	78	-25	+2	-18	-5	+23	-2.4
/ 162G	—	MLE		—	650	601	138	29	2	17	32	100	10	20	5	230	280	369	649	140	247	15	5	283	78	-15	+1	-11	-3	+14	-1.5

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1John Mayberry Jr.last yr '15 career totals — 6 seasons, 1,506 PA	2.3	1,506	54	15	234	298	417	-6	-18	1.7	1.7
/162	664	24	7	-2.8	-8.1	0.8	pk7: 2
#2Jake Cavelast yr '24 career totals — 7 seasons, 1,564 PA	2.4	1,564	45	13	236	292	400	-11	-6	1.3	1.3
/162	664	19	6	-4.5	-2.5	0.6	pk7: 1
#3Nick Senzellast yr '24 career totals — 6 seasons, 1,633 PA	2.5	1,633	40	33	232	299	363	+6	-14	0.9	0.9
/162	664	16	13	+2.4	-5.8	0.4	pk7: 1
#4Chad Pinderlast yr '22 career totals — 7 seasons, 1,740 PA	2.6	1,740	62	5	242	294	417	-17	-20	0.6	0.6
/162	664	24	2	-6.5	-7.6	0.2	pk7: 1
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 3 projected seasons	1.2	791	20	12	231	280	370	-8	-14	-0.3	-0.2
/162	664	17	10	-7.1	-11.8	-0.2	pk7: -0
#5Brennan Boeschlast yr '15 career totals — 6 seasons, 1,713 PA	2.6	1,713	48	22	250	303	400	-17	-35	-1.1	-1.1
/162	664	19	9	-6.6	-13.6	-0.4	pk7: -1
#6Domonic Brownlast yr '15 career totals — 6 seasons, 1,748 PA	2.6	1,748	54	23	246	305	405	-19	-39	-1.1	-1.1
/162	664	21	9	-7.1	-14.7	-0.4	pk7: -1

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
Luis Matos (OGILVIE)	24	45	45	50	35	222/275/353	131	241	9	9	15%	6%	77	-0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Lewis Brinson 2018 · MLB	24	46→53	51→55	52→50	42	235/286/398	162	291	18	16	26%	6%	91	+0.7	207/260/339	132	282	14	12	31%	5%	68	-1.0	230/272/404	174	301	22	8	31%	5%	85	+0.1
✕Diego Castillo 2022 · AAA	24	45→55	48→45	46→50	48	230/283/372	142	250	16	10	16%	6%	84	+0.1	231/297/354	123	280	12	9	21%	8%	84	+0.2	234/312/321	87	289	6	10	20%	10%	80	-0.1
✕Luis Jimenez 2012 · AA	24	47→48	50→60	49→50	41	240/275/406	166	265	17	13	18%	3%	89	+0.5	234/264/367	133	270	13	14	19%	3%	75	-0.5	228/256/352	124	264	13	15	19%	3%	67	-0.8
✕Nick Loftin 2023 · AAA	24	45→52	46→45	53→50	47	225/285/350	125	264	13	18	20%	7%	80	-0.2	236/307/355	119	272	12	13	18%	8%	88	+0.5	228/318/350	122	261	10	9	16%	10%	91	+0.5
✕Yairo Muñoz 2019 · MLB	24	51→55	47→45	47→55	43	252/297/384	133	305	14	13	22%	6%	92	+0.7	262/302/381	119	319	11	18	21%	5%	93	+0.8	268/295/366	98	320	9	23	19%	3%	82	+0.0
✕Aaron Luna 2011 · AAA	24	44→45	49→50	50→45	50	219/327/369	150	269	16	7	24%	9%	101	+1.4	230/317/367	137	291	15	9	25%	8%	97	+1.1	225/311/355	129	287	17	8	26%	7%	91	+0.3
✕Manuel Margot 2020 · MLB	25	49→52	47→50	54→60	49	243/301/389	146	282	13	19	19%	8%	94	+0.9	251/310/376	125	292	12	20	17%	8%	95	+0.9	258/313/371	112	301	9	15	17%	7%	91	+0.5
✕Matt Downs 2009 · AAA	25	49→50	48→50	47→50	46	247/291/393	146	268	16	15	15%	5%	91	+0.7	233/286/375	142	265	15	9	18%	6%	86	+0.3	227/287/375	147	259	15	6	19%	6%	84	+0.1
✕Stefen Romero 2013 · AA	24	52→57	51→55	49→50	41	262/300/423	161	297	18	10	19%	4%	102	+1.5	243/282/393	150	293	16	8	23%	4%	88	+0.4	247/285/418	171	285	19	4	20%	4%	93	+0.6
✕Victor Robles 2021 · MLB	24	49→52	47→50	53→60	44	243/314/385	142	301	14	22	23%	6%	99	+1.3	225/299/335	110	291	9	19	24%	7%	82	-0.0	282/352/386	105	351	6	51	20%	6%	110	+0.7
●Miguel Vargas 2023 · MLB	23	48→52	50→55	51→50	48	244/305/399	156	281	17	13	20%	7%	98	+1.2	219/308/375	156	260	16	11	22%	10%	95	+0.9	224/326/406	183	249	21	12	19%	12%	105	+1.6
●Moisés Sierra 2013 · MLB	24	47→56	48→50	42→50	42	240/290/374	133	294	17	10	25%	5%	86	+0.3	238/286/357	119	316	11	14	27%	5%	81	-0.1	249/315/369	120	307	12	15	22%	7%	92	+0.6
✕Ryan Rua 2015 · MLB	25	47→54	50	46→50	43	239/293/391	152	292	17	7	25%	6%	92	+0.7	227/286/364	137	304	16	10	29%	7%	83	+0.1	218/276/355	137	305	18	14	33%	6%	73	-0.3
✕Jamie Westbrook 2019 · AAA	24	48→52	46→50	45	42	240/276/367	126	270	14	6	17%	4%	80	-0.2	238/291/374	136	275	15	4	19%	6%	87	+0.4	240/311/368	128	286	13	4	20%	8%	91	+0.5
✕Jason Repko 2006 · MLB	25	46→48	51→50	55	42	236/291/401	166	289	19	11	25%	6%	94	+0.9	237/308/374	137	293	14	19	23%	7%	94	+0.9	225/291/351	126	283	12	25	24%	6%	80	-0.1
✕Brett Harris 2023 · AA	25	48→52	50→45	47→50	47	243/307/397	154	289	18	11	23%	7%	99	+1.3	237/314/361	124	288	13	10	21%	8%	93	+0.8	231/315/345	114	280	12	10	21%	9%	87	+0.3
✕Brian Rey 2022 · AAA	24	48	45	39→45	44	240/301/360	119	277	13	7	19%	5%	88	+0.4	223/279/325	102	277	10	9	22%	5%	72	-0.7	196/245/269	72	244	6	9	21%	2%	42	-0.7
✕Cal Mitchell 2023 · MLB	24	50→53	47→50	47→50	43	249/295/385	136	294	14	10	21%	5%	91	+0.7	217/273/346	129	290	14	11	29%	7%	74	-0.6	191/250/309	118	264	14	10	32%	7%	55	-1.1
✕Chris Pettit 2009 · AA	24	49→55	47→50	51→50	45	243/305/386	143	291	13	13	21%	6%	95	+1.0	227/285/344	117	285	10	16	23%	6%	78	-0.3	209/271/323	115	278	9	16	27%	6%	65	-0.9
✕German Duran 2008 · AA	23	48→50	50	49→45	43	245/286/401	155	283	17	10	20%	5%	91	+0.7	222/265/333	111	264	11	7	20%	5%	68	-1.0	207/249/285	78	246	7	3	19%	4%	49	-1.0

Career Stats + Projections

Career Comps

Career Path Comps