Luis Lameda — OGILVIE

Luis LamedaSS Wilson Warbirds

Age 20 S/R 5'10" / 160 lbs A BB +10%HR +7% Svc 0.0 · Ctrl thru 2036 peak 2.9 · 2032

wRC+†81

AVG/OBP/SLG.215 / .300 / .310

PA277

HR4

SB7

K%24

BB%10

MLB%0%

Scouting · now → future

HIT

35→35

PWR

20→20

SPD

45→45

EYE

66↘60

trajectory · 10 yrs

2.9peak

2032

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	Arb-3	$0.9M	+2.7	$25M	+$24M
2032	Ext / FA-deal	$0.9M	+2.9	$28M	+$27M
2033	Ext / FA-deal	$1.0M	+2.9	$29M	+$28M
2034	Ext / FA-deal	$6M	+2.8	$28M	+$23M
2035	Ext / FA-deal	$9M	+2.5	$26M	+$17M
2036	Ext / FA-deal	$11M	+2.3	$25M	+$13M
Totals		$29M		$160M	+$132M

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
2023	17	ROK	DSL Brewers 2	141	114	21	2	1	0	22	28	3	4	4	.184	.331	.219	.550	.035	.239	20	16	.255	53	-7	-1	+0	+2	+4	-0.3
2024	18	ROK	ACL Brewers	155	128	18	1	0	1	22	49	2	3	4	.141	.276	.172	.448	.031	.210	32	14	.216	24	-13	-1	+0	+2	+4	-0.9
2025	19	A	Carolina Mudcats	287	248	47	8	1	0	35	71	1	7	3	.190	.292	.230	.522	.040	.261	25	12	.243	44	-18	+0	+0	+3	+8	-0.7
▸ 2026 Season (actual · ROS · total)
2026	20	A	Wilson Warbirds	33	29	8	0	0	1	4	9	0	2	0	.276	.364	.379	.743	.103	.368	27	12	.323	105	+0	+0	+0	+0	+1	0.2
ROS	20	MLB	MIL	244	215	47	8	1	3	25	60	2	5	1	.219	.306	.307	.613	.088	.288	25	10	.286	77	-6	+1	+0	+3	+7	0.4
TOT	20	MLB	MIL	277	244	55	8	1	4	29	69	2	7	1	.225	.313	.316	.628	.090	.297	25	10	.291	81	-6	+1	+0	+3	+8	0.6
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	21	MLB 11%	MIL	342	299	69	12	2	6	37	77	3	7	2	.231	.322	.344	.666	.114	.286	23	11	.301	88	-5	+1	+0	+4	+10	1.0
2028	22	MLB 28%	MIL	434	379	89	16	2	9	48	95	4	9	2	.235	.327	.359	.686	.124	.287	22	11	.311	96	-2	+1	+0	+5	+12	1.6
2029	23	MLB 48%	MIL	492	428	101	18	2	11	56	106	5	9	2	.236	.331	.364	.696	.129	.288	22	11	.317	101	+0	+1	+0	+5	+14	2.1
2030	24	MLB 62%	MIL	530	459	111	20	2	13	61	112	5	10	2	.242	.337	.379	.716	.137	.288	21	12	.321	104	+2	+1	+0	+6	+15	2.5
2031	25	MLB 80%	MIL	552	477	116	21	2	14	65	116	5	10	2	.243	.340	.384	.724	.140	.289	21	12	.324	106	+4	+1	+0	+6	+16	2.7
2032	26	MLB 94%	MIL	563	486	118	21	3	14	67	118	5	10	2	.243	.341	.385	.725	.142	.289	21	12	.326	108	+5	+1	+0	+6	+16	2.9
2033	27	MLB	MIL	565	487	117	21	2	14	68	119	5	9	2	.240	.339	.378	.717	.138	.289	21	12	.326	108	+5	+1	+0	+6	+16	2.9
2034	28	MLB	MIL	562	484	116	21	2	14	68	120	5	9	1	.240	.339	.378	.717	.138	.289	21	12	.325	107	+4	+1	-1	+6	+16	2.8
2035	29	MLB	MIL	553	476	113	20	2	13	67	119	5	8	1	.237	.338	.370	.707	.132	.288	22	12	.323	105	+3	+1	-1	+6	+16	2.5
2036	30	MLB	MIL	543	467	111	20	2	13	66	119	5	7	0	.238	.338	.373	.711	.135	.287	22	12	.320	103	+2	+1	-2	+6	+15	2.3
2037	31	MLB	MIL	529	455	106	19	2	12	64	118	5	6	0	.233	.334	.363	.697	.130	.285	22	12	.316	100	-0	+1	-3	+6	+15	1.9
2038	32	MLB	MIL	511	440	101	18	2	11	62	117	4	5	0	.230	.330	.355	.685	.125	.284	23	12	.311	96	-2	+1	-4	+5	+14	1.6
2039	33	MLB	MIL	481	416	94	16	2	10	58	113	4	5	0	.226	.326	.346	.673	.120	.282	23	12	.306	92	-4	+1	-4	+5	+14	1.2
2040	34	MLB	MIL	435	376	83	14	2	8	52	106	4	4	0	.221	.322	.332	.654	.112	.281	24	12	.300	87	-6	+1	-5	+5	+12	0.7
2041	35	MLB	MIL	380	329	70	12	1	7	45	97	3	4	0	.213	.313	.319	.632	.106	.279	26	12	.292	82	-8	+1	-6	+4	+11	0.2
2042	36	MLB	MIL	321	278	58	10	1	5	38	85	2	4	0	.209	.308	.306	.614	.097	.276	26	12	.283	75	-9	+1	-6	+3	+9	-0.2
2043	37	MLB	MIL	257	223	45	7	1	4	30	71	2	3	0	.202	.302	.296	.598	.094	.272	28	12	.274	68	-9	+1	-7	+3	+7	-0.6
▸ Career Totals (MLE all levels + projections)
Career	—			8877	7664	1751	305	35	182	1056	2016	79	138	28	.228	.328	.349	.677	.120	.284	23	12	.308	94	-65	+16	-38	+95	+252	26.5
/ 162G	—			650	561	128	22	3	13	77	148	6	10	2	.228	.328	.348	.675	.119	.285	23	12	.308	94	-5	+1	-3	+7	+18	1.9

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
2023	17	ROK	DSL Brewers 2	141	101	24	2	1	0	35	20	3	4	4	.238	.446	.277	.723	.040	.289	14	25	.353	129	+5	-1	—	—	+4	0.8
2024	18	ROK	ACL Brewers	155	114	22	1	0	1	36	34	2	3	4	.193	.395	.228	.623	.035	.256	22	23	.310	95	-1	-1	—	—	+4	0.3
2025	19	A	Carolina Mudcats	287	228	48	9	1	0	55	51	1	7	3	.211	.366	.259	.625	.048	.267	18	19	.302	89	-3	+0	—	—	+8	0.5

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 Lameda (OGILVIE)	20	35	20	45	60	.215/.300/.310	.095	.281	4	5	24%	10%	74	-0.0	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Maick Collado 2023 · A	20	44	39→30	46→45	51	.211/.292/.295	.085	.267	6	5	22%	9%	66	-0.6	.217/.288/.288	.071	.274	5	7	21%	9%	62	-0.9	.209/.279/.272	.063	.258	5	5	20%	8%	54	-0.8
✕Shawn Zarraga 2009 · A	20	48	40	50→45	49	.226/.306/.321	.095	.306	6	7	26%	9%	79	+0.3	.222/.295/.296	.074	.304	5	6	26%	8%	67	-0.5	.272/.340/.355	.083	.316	4	2	14%	7%	101	+0.6
✕Nelson Quiroz 2022 · A	20	45	37→40	47→40	49	.211/.278/.287	.076	.265	3	4	21%	8%	57	-1.2	.229/.290/.332	.103	.270	9	4	18%	7%	74	-0.1	.264/.310/.326	.062	.295	2	0	11%	6%	75	+0.0
✕Oswaldo Linares 2023 · A	20	42	41→40	48→40	52	.203/.300/.294	.091	.264	9	7	25%	10%	70	-0.3	.191/.289/.274	.083	.279	7	4	31%	11%	60	-1.0	.164/.268/.232	.068	.248	6	2	32%	11%	39	-0.9
✕Jenner Emeterio 2013 · A	20	45	38→30	48→60	46	.214/.278/.298	.084	.285	5	12	26%	8%	60	-1.0	.216/.302/.277	.061	.288	3	24	23%	10%	66	-0.6	.216/.317/.260	.044	.285	1	34	22%	12%	65	-0.3
✕Kelvin Alarcon 2019 · A	20	43	35→30	48→55	53	.200/.296/.255	.055	.285	3	9	28%	11%	58	-1.2	.211/.275/.275	.064	.322	3	8	32%	8%	53	-1.5	.207/.267/.241	.035	.325	0	8	34%	7%	37	-0.6
✕Deivi Estrada 2021 · A	20	45	35→30	45→50	49	.210/.288/.271	.062	.279	3	9	24%	9%	58	-1.2	.192/.254/.261	.069	.328	3	8	39%	7%	40	-2.4	.145/.187/.204	.059	.312	3	4	52%	4%	-7	-1.2
✕Jose Perez 2023 · A	19	41	36→40	44→45	50	.193/.274/.261	.067	.256	3	8	24%	9%	50	-1.8	.200/.306/.291	.091	.270	5	7	25%	12%	72	-0.2	.183/.303/.269	.087	.244	5	5	24%	13%	63	-0.3
✕Carlos Rodriguez 2023 · A	20	38	40→45	47→45	45	.183/.271/.272	.089	.286	7	6	36%	10%	52	-1.6	.190/.265/.267	.077	.298	5	6	35%	9%	47	-1.9	.182/.268/.267	.085	.274	6	3	33%	10%	48	-0.6
✕Chace Numata 2013 · A	20	44	37→40	49→40	44	.208/.272/.282	.074	.287	4	8	28%	7%	53	-1.5	.213/.262/.285	.072	.257	5	5	18%	5%	50	-1.8	.250/.301/.323	.073	.295	3	2	16%	6%	73	-0.1
✕Jose Lobatón 2006 · A	21	45	39→45	50→30	46	.215/.277/.302	.088	.284	6	8	25%	8%	60	-1.0	.215/.286/.335	.120	.300	12	3	30%	9%	73	-0.1	.241/.325/.370	.129	.305	12	0	23%	11%	94	+0.6
✕Charlie Valerio 2011 · A	20	44	39→40	46→45	49	.212/.283/.297	.085	.259	7	7	20%	8%	63	-0.9	.211/.272/.304	.093	.277	9	7	25%	7%	59	-1.1	.200/.254/.292	.092	.276	9	5	29%	7%	47	-0.6
✕Josh Johnson 2006 · A	20	43→49	39→45	48→50	50	.204/.281/.297	.094	.268	5	9	25%	9%	61	-1.0	.218/.305/.288	.070	.282	4	10	21%	11%	69	-0.4	.247/.316/.352	.105	.295	9	16	18%	9%	86	+0.5
✕Juan Brito 2022 · A	20	45→48	42→50	49→45	46	.222/.285/.324	.103	.281	10	12	24%	7%	70	-0.3	.230/.313/.368	.138	.279	13	9	21%	10%	94	+1.3	.226/.311/.371	.145	.266	15	9	20%	10%	91	+1.0
✕Manuel Guzman 2014 · A	19	48	37→45	47→55	50	.226/.292/.301	.075	.272	4	14	18%	8%	66	-0.6	.220/.286/.278	.058	.274	2	18	19%	8%	58	-1.2	.238/.306/.305	.068	.287	4	15	17%	9%	69	-0.2
✕Jose Herrera 2017 · A	20	44	39→40	44→40	45	.210/.273/.292	.081	.276	7	4	26%	7%	56	-1.3	.202/.257/.285	.083	.255	6	3	22%	7%	47	-1.9	.207/.290/.297	.090	.275	9	3	26%	10%	63	-0.4
✕Omar Casamayor 2006 · A	19	45	37→40	44→55	45	.213/.282/.288	.076	.283	4	7	25%	7%	59	-1.1	.232/.290/.298	.066	.278	2	9	16%	6%	65	-0.7	.249/.301/.308	.060	.288	1	12	13%	5%	67	-0.2
✕Jon Del Campo 2007 · A	19	43	38→45	45→55	46	.207/.270/.286	.079	.275	6	6	26%	8%	53	-1.5	.206/.258/.287	.081	.298	4	5	30%	6%	48	-1.9	.267/.300/.379	.112	.337	12	18	24%	3%	90	+0.6
✕Jeral Toledo 2023 · A	20	41	36→30	45	52	.191/.287/.263	.072	.257	3	10	25%	10%	57	-1.2	.198/.277/.278	.080	.281	4	11	28%	9%	55	-1.4	.190/.267/.265	.075	.272	4	10	29%	9%	46	-0.6
✕Juan Mosquera 2008 · A	20	46	34→30	48→55	53	.207/.304/.255	.048	.297	1	17	28%	11%	61	-1.0	.197/.276/.245	.048	.267	2	12	24%	9%	46	-2.0	.183/.242/.211	.028	.222	0	9	16%	7%	19	-1.0

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)