Luis Mendez — OGILVIE

Luis Mendez3B Fresno Grizzlies

Age 23 L/R 5'11" / 157 lbs A H +10%K -4% Svc 0.0 · Ctrl thru 2036 peak 0.5 · 2029

wRC+†60

AVG/OBP/SLG.202 / .268 / .296

PA175

HR2

SB9

K%28

BB%8

MLB%0%

Scouting · now → future

HIT

45→45

PWR

30→30

SPD

55→55

EYE

44↗45

trajectory · 10 yrs

0.5peak

2029

Contract

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

Status MiLB

MLB Debut 2031

Service 0 yrs (est)

Team Control Through 2036

First FA Year 2037

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2031
2027	MiLB	still in minors · estimated debut 2031
2028	MiLB	still in minors · estimated debut 2031
2029	MiLB	still in minors · estimated debut 2031
2030	MiLB	still in minors · estimated debut 2031
2031	Pre-Arb	$0.9M	+0.5	$2M	+$1M
2032	Pre-Arb	$0.9M	+0.3	$1M	+$0.5M
2033	Pre-Arb	$1.0M	+0.1	$0.5M	+$0.0M (cut)
2034	Arb-1	$0.2M	—	—	—
2035	Arb-2	$0.4M	—	—	—
2036	Arb-3	$0.6M	—	—	—
Totals		$-3M		$-2M	+$2M

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 Colorado	224	204	38	6	3	3	12	68	6	12	6	.186	.252	.289	.541	.103	.259	30	5	.238	40	-15	+0	+0	+1	+6	-0.8
2022	19	ROK	ACL Rockies	221	204	34	6	1	5	11	85	4	8	4	.167	.224	.279	.503	.113	.250	38	5	.221	27	-18	+0	+0	+1	+6	-1.1
2023	20	A	2 teams	325	288	48	6	2	1	33	110	3	11	6	.167	.259	.212	.471	.045	.266	34	10	.219	26	-27	-0	+0	+1	+9	-1.7
2024	21	A	Fresno Grizzlies	342	309	63	8	4	5	22	89	3	14	5	.204	.263	.304	.568	.100	.266	26	6	.241	43	-22	+1	+0	+1	+10	-1.1
2025	22	ROK	2 teams	187	171	30	6	3	1	12	46	0	9	2	.175	.230	.263	.493	.088	.230	25	6	.218	25	-16	+1	+0	+1	+5	-0.9
▸ 2026 Season (actual · ROS · total)
2026	23	A	Fresno Grizzlies	49	44	12	2	0	0	4	13	0	5	1	.273	.333	.318	.652	.045	.387	27	8	.265	61	-2	+1	+0	+0	+1	0.0
ROS	23	MLB	COL	126	114	24	4	1	1	10	35	1	4	1	.211	.280	.289	.569	.079	.287	28	8	.263	59	-6	+0	+0	+0	+4	-0.1
TOT	23	MLB	COL	175	158	36	6	1	1	14	48	1	9	2	.228	.295	.297	.592	.070	.318	27	8	.263	60	-8	+1	+0	+1	+5	-0.1
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	24	MLB 10%	COL	238	215	48	8	2	4	20	57	1	7	2	.223	.292	.335	.627	.112	.281	24	8	.279	72	-8	+1	+0	+1	+7	0.1
2028	25	MLB 25%	COL	319	287	66	11	3	6	27	76	2	9	2	.230	.301	.352	.653	.122	.283	24	8	.287	78	-8	+1	+0	+1	+9	0.3
2029	26	MLB 42%	COL	373	336	76	13	3	7	32	88	2	10	3	.226	.297	.345	.643	.119	.284	24	9	.291	81	-8	+1	+0	+1	+11	0.5
2030	27	MLB 58%	COL	400	359	82	14	3	8	35	95	3	10	3	.228	.302	.351	.653	.123	.284	24	9	.292	82	-8	+1	+0	+1	+11	0.5
2031	28	MLB 68%	COL	414	371	84	14	3	8	37	99	3	10	2	.226	.302	.345	.647	.119	.284	24	9	.291	81	-9	+1	-1	+1	+12	0.5
2032	29	MLB 77%	COL	415	372	84	14	3	8	37	101	3	9	2	.226	.301	.344	.645	.118	.283	24	9	.289	79	-10	+1	-1	+1	+12	0.3
2033	30	MLB 94%	COL	413	370	82	14	3	7	37	102	3	8	2	.222	.298	.332	.630	.111	.282	25	9	.286	77	-11	+1	-2	+1	+12	0.1
2034	31	MLB	COL	403	362	79	13	3	7	36	101	2	7	1	.218	.292	.329	.621	.110	.280	25	9	.282	74	-12	+1	-3	+1	+11	-0.1
2035	32	MLB	COL	387	347	74	12	3	6	35	99	2	5	1	.213	.289	.317	.606	.104	.279	26	9	.277	70	-13	+1	-4	+1	+11	-0.4
2036	33	MLB	COL	359	322	68	11	3	5	32	94	2	4	0	.211	.287	.311	.597	.099	.277	26	9	.272	66	-14	+1	-4	+1	+10	-0.6
2037	34	MLB	COL	316	283	58	9	2	4	28	86	2	4	0	.205	.281	.293	.574	.088	.276	27	9	.266	62	-14	+1	-5	+1	+9	-0.8
▸ Career Totals (MLE all levels + projections)
Career	—			5462	4914	1038	169	45	86	456	1431	42	141	42	.211	.284	.316	.600	.105	.278	26	8	.270	65	-218	+11	-20	+20	+155	-5.3
/ 162G	—			650	585	123	20	5	10	54	170	5	17	5	.210	.283	.313	.595	.103	.276	26	8	.270	65	-26	+1	-2	+2	+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
2021	18	ROK	DSL Colorado	224	194	51	10	4	5	22	48	6	12	6	.263	.356	.433	.789	.170	.322	21	10	.350	126	+7	+0	—	—	+6	1.3
2022	19	ROK	ACL Rockies	221	197	50	9	3	6	18	57	4	8	4	.254	.329	.421	.750	.168	.324	26	8	.332	112	+3	+0	—	—	+6	0.9
2023	20	A	Fresno Grizzlies	223	183	38	6	1	0	36	51	3	7	4	.208	.347	.251	.598	.044	.288	23	16	.290	80	-5	-0	—	—	+6	0.1
2023	20	ROK	ACL Rockies	102	93	21	2	2	2	9	28	0	4	2	.226	.294	.355	.649	.129	.302	27	9	.292	82	-2	+0	—	—	+3	0.1
2024	21	A	Fresno Grizzlies	342	297	69	10	4	5	34	67	3	14	5	.232	.317	.343	.661	.111	.281	20	10	.295	84	-6	+1	—	—	+10	0.4
2025	22	A	Fresno Grizzlies	25	23	3	1	0	0	2	10	0	0	1	.130	.200	.174	.374	.043	.231	40	8	.180	-4	-3	-0	—	—	+1	-0.3
2025	22	ROK	ACL Rockies	162	139	37	7	6	1	19	22	0	9	1	.266	.354	.424	.779	.158	.305	14	12	.338	117	+3	+1	—	—	+5	0.9

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 Mendez (OGILVIE)	23	45	30	55	45	.202/.268/.296	.094	.276	2	4	28%	8%	56	-0.4	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Kier Meredith 2022 · A	22	43	37→30	51→60	45	.202/.271/.271	.070	.286	4	11	29%	8%	50	-1.7	.211/.307/.281	.070	.293	4	26	27%	8%	69	-0.4	.229/.340/.278	.049	.305	3	35	22%	10%	80	+0.1
✕Jake Thomas 2016 · A	23	44	39→30	49→50	47	.211/.289/.295	.084	.283	7	8	26%	8%	65	-0.7	.207/.290/.274	.067	.301	3	8	29%	10%	59	-1.1	.202/.298/.259	.057	.302	1	8	29%	11%	56	-0.6
✕River Town 2022 · A	23	44→38	37→40	53→50	43	.207/.282/.284	.077	.293	3	12	28%	7%	59	-1.1	.211/.296/.319	.108	.266	10	15	23%	8%	75	-0.0	.206/.299/.306	.100	.254	9	15	21%	9%	71	-0.2
✕Chris Pieters 2018 · A	23	46	40→45	52→55	46	.219/.288/.317	.098	.289	6	14	25%	7%	69	-0.4	.209/.262/.298	.089	.296	6	11	29%	6%	53	-1.5	.174/.209/.223	.049	.263	0	15	32%	4%	8	-0.8
✕Alvaro Ramirez 2009 · A	23	45	38→40	49→55	45	.215/.279/.298	.083	.267	5	15	21%	6%	60	-1.0	.239/.295/.317	.078	.285	5	16	17%	5%	72	-0.2	.298/.358/.375	.077	.330	4	27	10%	5%	111	+1.0
✕Hoy Park 2019 · A	23	44→50	39→45	56→55	49	.210/.288/.294	.085	.276	6	17	25%	9%	63	-0.8	.228/.306/.323	.095	.301	7	16	25%	9%	79	+0.3	.219/.306/.338	.119	.290	13	18	27%	10%	79	+0.2
✕Rhylan Thomas 2023 · A	23	44→54	37→40	48→55	49	.208/.275/.284	.076	.258	5	9	20%	8%	56	-1.3	.252/.303/.325	.073	.283	5	14	12%	7%	76	+0.1	.267/.313/.335	.068	.291	5	21	10%	6%	80	+0.3
✕Davis Bradshaw 2021 · A	23	47	36→40	53→50	40	.223/.267/.289	.066	.286	3	13	22%	4%	52	-1.6	.252/.303/.323	.071	.317	3	11	20%	5%	76	+0.1	.274/.326/.342	.068	.345	3	10	20%	5%	88	+0.5
✕Miguel Arrendell 2011 · A	23	43	37→30	50	50	.203/.284/.276	.073	.270	5	13	25%	10%	57	-1.2	.218/.274/.311	.093	.275	8	8	22%	7%	62	-0.9	.235/.287/.333	.098	.272	9	2	16%	6%	69	-0.1
✕Stephen Gaylor 2015 · A	23	46	37→30	52→55	39	.219/.268/.297	.078	.308	4	9	29%	5%	55	-1.4	.224/.275/.276	.052	.289	2	15	22%	6%	52	-1.6	.221/.273/.260	.039	.288	1	19	22%	5%	43	-1.0
✕Blake Rambusch 2023 · A	23	47	37→30	52→60	42	.219/.287/.296	.076	.318	4	13	30%	7%	63	-0.8	.226/.311/.291	.065	.315	3	28	26%	9%	72	-0.2	.233/.319/.287	.055	.311	2	37	23%	9%	71	-0.1
✕Michael DeJesus 2006 · A	23	44→51	36→30	50→45	50	.202/.287/.271	.069	.292	4	11	30%	10%	58	-1.2	.223/.299/.284	.061	.276	4	7	19%	10%	66	-0.6	.229/.307/.287	.058	.277	4	5	17%	10%	67	-0.4
✕Wang-Wei Lin 2011 · A	23	47→54	36→30	50	48	.222/.289/.285	.063	.280	4	11	22%	8%	61	-1.0	.232/.305/.301	.069	.296	4	9	21%	8%	72	-0.2	.234/.313/.301	.067	.297	4	9	21%	9%	71	-0.2
●Nathan Church 2023 · A	23	43→53	38→45	50→55	45	.203/.273/.280	.077	.257	5	10	22%	6%	54	-1.4	.232/.287/.316	.084	.271	6	16	16%	6%	68	-0.5	.247/.299/.345	.099	.281	8	18	15%	6%	78	+0.2
✕David Martin 2023 · A	22	45	39→30	49→30	42	.213/.285/.304	.091	.300	6	7	29%	6%	66	-0.6	.223/.305/.293	.070	.278	5	4	20%	9%	71	-0.3	.243/.334/.302	.059	.291	5	1	16%	10%	83	+0.3
✕James Ramsey 2013 · A	23	45→50	38→45	53→45	44	.205/.275/.287	.083	.316	4	14	34%	8%	56	-1.3	.224/.295/.349	.125	.320	13	8	32%	8%	81	+0.4	.223/.291/.351	.128	.310	14	6	31%	8%	77	+0.1
✕Jarrod Dyson 2008 · A	23	46→56	36→40	56→70	41	.214/.268/.284	.070	.296	2	17	27%	6%	52	-1.6	.232/.281/.287	.055	.317	1	37	25%	6%	57	-1.2	.246/.315/.340	.094	.283	5	53	14%	7%	81	+0.2
✕James Cooper 2007 · A	23	43→53	40	49→45	41	.210/.268/.302	.092	.268	8	7	24%	5%	57	-1.2	.238/.299/.329	.091	.285	5	8	17%	5%	77	+0.1	.248/.312/.329	.081	.292	3	7	15%	5%	79	+0.2
✕Chris Meyers 2022 · A	23	41→46	42→50	51→40	45	.201/.269/.304	.103	.264	9	11	26%	7%	59	-1.1	.222/.280/.362	.140	.293	16	7	29%	6%	79	+0.3	.226/.286/.378	.152	.294	19	3	29%	6%	82	+0.3
✕Darrell Ceciliani 2013 · A	23	48→54	39→45	52→55	44	.229/.286/.321	.092	.298	6	14	24%	6%	69	-0.4	.246/.287/.348	.102	.331	8	21	27%	5%	76	+0.1	.253/.292/.362	.109	.339	9	26	27%	4%	80	+0.2

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)