Luis Matos — OGILVIE

Luis MatosRF Milwaukee Brewers

Age 24 R/R 5'11" / 205 lbs MLB BB +10%HR +7% Svc 3.000 · Ctrl thru 2028 peak 0.1 · 2028

wRC+†vL 6186vR 71

AVG/OBP/SLG.237 / .288 / .395

PA350

HR11

SB7

K%15

BB%5

MLB%100%

Scouting · now → future

HIT

45→45

PWR

45→45

SPD

50→50

EYE

38↘35

trajectory · 10 yrs

0.7peak

2028

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 2027

DEF 10%

Year	Status	Salary	Proj WAR	Value	Surplus
2026	Arb-1	$0.1M	—	—	—
2027	Arb-2	$0.4M	—	—	—
2028	Arb-3	$0.6M	+0.1	$0.4M	+$0.0M (cut)
Totals		$-0.4M		$-0.4M	+$0.0M

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	17	ROK	AZL Giants Orange	290	259	70	17	1	6	12	45	15	21	3	.270	.339	.413	.752	.143	.302	16	4	.319	102	+1	+3	+0	-3	+8	0.9
2021	19	A	San Jose Giants	491	463	122	27	1	13	16	84	7	21	5	.263	.298	.410	.709	.147	.294	17	3	.303	90	-6	+2	+0	-5	+14	0.5
2022	20	A+	2 teams	500	465	75	13	1	9	22	108	8	12	5	.161	.212	.252	.464	.090	.187	22	4	.206	16	-48	+0	+0	-5	+14	-3.9
2023	21	MLB	3 teams	538	490	135	25	3	12	40	61	5	18	5	.276	.336	.412	.749	.137	.295	11	7	.325	107	+4	+2	-6	+2	+15	1.7
2024	22	AAA	3 teams	766	708	149	31	0	24	35	104	14	11	3	.210	.262	.356	.617	.145	.212	14	5	.272	67	-29	+1	-5	+3	+22	-0.8
2025	23	MLB	3 teams	411	385	87	21	1	16	20	63	1	10	0	.226	.266	.410	.676	.184	.228	15	5	.297	85	-7	+2	-6	-4	+12	-0.3
▸ 2026 Season (actual · ROS · total)
2026	24	MLB	Milwaukee Brewers	21	20	4	0	0	0	1	7	0	0	0	.200	.238	.200	.438	.000	.308	33	5	.203	14	-2	+0	+1	-0	+1	-0.1
ROS	24	MLB	MIL	329	304	72	15	1	10	18	48	4	7	2	.237	.288	.391	.680	.155	.251	15	5	.304	91	-3	+1	-4	-4	+9	-0.1
TOT	24	MLB	MIL	350	324	76	15	1	10	19	55	4	7	2	.235	.285	.380	.665	.145	.253	16	5	.298	86	-5	+1	-4	-4	+10	-0.2
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	25	MLB	MIL	470	434	103	21	1	15	27	68	6	10	2	.237	.291	.394	.685	.157	.252	14	6	.307	93	-3	+1	-6	-5	+13	-0.0
2028	26	MLB	MIL	479	442	107	22	1	16	28	69	6	10	2	.242	.296	.405	.701	.163	.252	14	6	.309	95	-3	+1	-6	-5	+14	0.0
2029	27	MLB	MIL	475	438	106	22	1	16	28	69	6	10	2	.242	.297	.406	.703	.164	.252	15	6	.309	95	-3	+1	-6	-5	+13	0.0
2030	28	MLB	MIL	468	432	103	21	1	15	28	69	5	9	2	.238	.292	.396	.688	.157	.251	15	6	.308	94	-3	+1	-7	-5	+13	-0.1
2031	29	MLB	MIL	456	420	100	20	1	15	28	68	5	8	1	.238	.294	.398	.691	.160	.250	15	6	.306	92	-4	+1	-8	-5	+13	-0.2
2032	30	MLB	MIL	445	410	97	20	1	14	27	68	5	7	1	.237	.292	.393	.685	.156	.249	15	6	.303	90	-5	+1	-8	-5	+13	-0.4
2033	31	MLB	MIL	430	396	92	19	1	13	26	68	5	4	0	.232	.288	.384	.672	.152	.248	16	6	.299	87	-6	+1	-9	-5	+12	-0.7
2034	32	MLB	MIL	411	378	87	18	1	12	25	67	5	2	0	.230	.287	.378	.665	.148	.246	16	6	.294	83	-8	+0	-9	-4	+12	-0.9
2035	33	MLB	MIL	381	351	79	16	1	11	23	65	4	1	0	.225	.280	.370	.651	.145	.245	17	6	.289	79	-9	+0	-9	-4	+11	-1.2
2036	34	MLB	MIL	336	309	69	14	1	9	20	60	4	0	0	.223	.279	.362	.642	.139	.243	18	6	.282	74	-10	+0	-9	-4	+10	-1.4
▸ Career Totals (MLE all levels + projections)
Career	—			7676	7084	1653	342	18	226	423	1184	105	161	33	.233	.287	.382	.669	.149	.249	15	6	.295	84	-142	+19	-99	-64	+217	-6.9
/ 162G	—			650	600	140	29	2	19	36	100	9	14	3	.233	.287	.383	.670	.150	.249	15	6	.295	84	-12	+2	-8	-5	+18	-0.6

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	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	194	+31	+3	—	—	+8	4.3
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	145	+25	+2	—	—	+14	4.2
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	72	-13	+1	—	—	+12	-0.1
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	76	-2	-1	—	—	+3	-0.0
2023	21	MLB	San Francisco Giants	253	228	57	13	1	2	20	33	3	3	0	.250	.319	.342	.661	.092	.285	13	8	.299	87	-4	+1	-6	+2	+7	0.0
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	198	+17	+1	—	—	+4	2.2
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	148	+7	+0	—	—	+4	1.1
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	56	-8	+0	-5	+3	+4	-0.5
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	120	+9	+1	—	—	+11	2.0
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	152	+14	+0	—	—	+7	2.1
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	89	-2	+1	-6	-4	+5	-0.7
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	136	+6	+1	—	—	+5	1.2
2025	23	INTL	Tiburones de La Guaira	68	65	7	1	0	0	2	5	0	0	0	.108	.134	.123	.257	.015	.115	7	3	.119	-50	-12	+0	—	—	+2	-1.0
▸ 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	80	-14	+1	-16	+0	+17	-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
Luis Matos (OGILVIE)	24	45	45	50	35	.237/.288/.395	.158	.251	11	7	15%	5%	91	+0.7	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Nick Loftin 2023 · AAA	24	45→52	47→50	53→50	47	.226/.286/.360	.134	.264	15	17	21%	7%	80	+0.4	.237/.305/.365	.128	.272	14	13	18%	8%	89	+1.0	.238/.318/.362	.124	.267	13	11	16%	9%	91	+0.8
✕Diego Castillo 2022 · AAA	24	45→55	48→50	47→50	47	.229/.281/.371	.142	.250	16	10	17%	6%	81	+0.4	.233/.297/.365	.132	.280	14	9	21%	8%	86	+0.8	.238/.316/.330	.093	.291	7	10	19%	10%	81	+0.3
✕German Duran 2009 · MLB	24	47→49	49→50	47→45	43	.237/.280/.386	.149	.276	16	9	21%	5%	84	+0.6	.214/.258/.313	.099	.255	10	6	20%	5%	55	-1.4	.199/.241/.265	.066	.238	6	4	19%	4%	33	-1.2
✕Brian Rey 2022 · AAA	24	47	46→50	40→45	43	.235/.293/.361	.125	.271	14	7	19%	5%	83	+0.6	.224/.280/.329	.105	.277	10	9	22%	5%	69	-0.4	.197/.246/.272	.076	.244	6	9	22%	2%	36	-0.7
✕Miguel Vargas 2023 · MLB	23	48→52	51→55	51→50	48	.244/.304/.405	.161	.281	19	12	21%	7%	99	+1.7	.220/.307/.378	.158	.261	16	11	22%	10%	94	+1.3	.211/.309/.373	.162	.247	16	10	21%	11%	91	+1.0
✕Luis Jimenez 2012 · AA	24	47→48	51→60	49→50	41	.238/.274/.406	.168	.263	18	13	18%	4%	87	+0.8	.234/.265/.370	.136	.269	14	14	19%	3%	73	-0.1	.227/.255/.351	.124	.263	12	15	19%	3%	62	-0.7
✕Diego Rincones 2023 · AA	24	46→48	50	47→30	41	.239/.287/.383	.144	.269	19	3	20%	4%	86	+0.8	.228/.277/.361	.133	.264	16	5	20%	5%	76	+0.1	.210/.260/.340	.130	.235	17	0	20%	5%	64	-0.3
✕Yairo Muñoz 2019 · MLB	24	49→54	46→50	47→55	42	.243/.286/.374	.131	.297	14	13	24%	5%	83	+0.6	.260/.301/.384	.124	.316	12	17	21%	5%	92	+1.2	.269/.296/.376	.106	.319	10	23	19%	3%	83	+0.3
✕Donnie Murphy 2007 · MLB	24	42→41	50→60	44→45	41	.220/.264/.373	.153	.252	18	7	21%	4%	74	-0.1	.223/.276/.386	.163	.286	18	8	28%	6%	83	+0.6	.223/.278/.412	.188	.287	22	5	30%	6%	87	+0.4
✕Stefen Romero 2013 · AA	24	51→56	51→55	48→50	42	.259/.298/.422	.163	.293	19	10	19%	4%	101	+1.8	.243/.282/.394	.151	.292	16	8	23%	4%	87	+0.8	.246/.284/.417	.171	.283	19	4	21%	4%	91	+0.9
✕Cheslor Cuthbert 2017 · MLB	24	50→54	46→50	46→45	46	.247/.293/.379	.131	.285	14	6	19%	6%	87	+0.8	.242/.293/.383	.141	.287	16	4	21%	6%	89	+0.9	.230/.283/.368	.138	.277	17	1	23%	6%	78	+0.1
●Willie Calhoun 2019 · MLB	24	46→51	50→55	48→40	46	.236/.279/.387	.150	.250	18	4	15%	5%	84	+0.6	.245/.301/.407	.162	.263	20	4	16%	7%	98	+1.6	.245/.311/.420	.175	.257	22	1	15%	8%	103	+1.0
✕Josh Vitters 2014 · MLB	24	45→49	49→50	43→45	42	.230/.275/.378	.147	.267	17	7	21%	5%	80	+0.4	.198/.243/.313	.115	.272	14	8	32%	5%	50	-1.8	.165/.203/.256	.090	.232	12	5	34%	3%	14	-2.9
✕Aaron Luna 2011 · AAA	24	42→43	50	50→45	49	.215/.326/.373	.158	.267	17	7	25%	9%	102	+1.9	.228/.318/.369	.141	.289	16	9	26%	8%	97	+1.5	.224/.310/.354	.130	.286	17	8	26%	7%	89	+0.5
●Jamie Westbrook 2019 · AAA	24	47→52	46→55	45	41	.238/.273/.368	.130	.268	14	6	18%	4%	76	+0.0	.240/.290/.389	.149	.276	18	4	20%	5%	89	+1.0	.245/.316/.386	.141	.288	15	4	20%	8%	96	+1.1
✕Manuel Margot 2020 · MLB	25	49→53	47→50	53→60	49	.244/.301/.391	.147	.283	14	19	19%	7%	94	+1.3	.254/.313/.381	.127	.296	12	20	17%	8%	96	+1.5	.260/.315/.371	.111	.303	9	15	17%	7%	89	+0.7
✕Cal Mitchell 2023 · MLB	24	50→53	48→50	47→50	43	.250/.295/.393	.143	.295	16	10	21%	5%	92	+1.2	.221/.276/.355	.134	.292	15	11	29%	7%	74	-0.1	.191/.251/.313	.122	.265	15	10	33%	7%	50	-0.9
●Yamaico Navarro 2012 · MLB	24	45→53	44→50	48→50	47	.225/.283/.346	.121	.269	12	13	21%	7%	75	-0.0	.230/.290/.358	.128	.275	13	12	21%	8%	81	+0.4	.230/.298/.389	.159	.262	21	11	21%	9%	92	+0.8
✕Ricardo Vazquez 2008 · AAA	23	49	47→55	49→45	39	.247/.275/.385	.138	.290	15	8	21%	3%	81	+0.4	.255/.288/.376	.121	.299	12	10	19%	4%	84	+0.6	.290/.322/.423	.133	.319	14	2	14%	3%	108	+0.5
✕Brendan Rodgers 2021 · MLB	24	46→54	47→50	49→45	40	.231/.280/.366	.135	.290	15	8	26%	5%	79	+0.3	.251/.303/.386	.135	.300	14	2	20%	6%	93	+1.3	.253/.308/.383	.131	.298	13	0	19%	6%	93	+0.8

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)