Luis Meza — OGILVIE

Luis MezaC FCL Blue Jays

Age 21 R/R 5'9" / 150 lbs ROK HR +12%BB +4% Svc 0.0 · Ctrl thru 2037 peak 2.0 · 2032

wRC+†58

AVG/OBP/SLG.205 / .270 / .300

PA55

HR1

K%30

BB%7

MLB%0%

trajectory · 10 yrs

2.0peak

2032

Contract

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

Status MiLB

MLB Debut 2032

Service 0 yrs (est)

Team Control Through 2037

First FA Year 2038

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2032
2027	MiLB	still in minors · estimated debut 2032
2028	MiLB	still in minors · estimated debut 2032
2029	MiLB	still in minors · estimated debut 2032
2030	MiLB	still in minors · estimated debut 2032
2031	MiLB	still in minors · estimated debut 2032
2032	Ext / FA-deal	$0.9M	+2.0	$19M	+$18M
2033	Ext / FA-deal	$1.0M	+1.9	$19M	+$18M
2034	Ext / FA-deal	$1.0M	+1.7	$17M	+$16M
2035	Ext / FA-deal	$3M	+1.5	$16M	+$13M
2036	Ext / FA-deal	$4M	+1.2	$13M	+$9M
2037	Ext / FA-deal	$3M	+0.8	$4M	+$1.0M
Totals		$13M		$88M	+$75M

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 Blue Jays	101	98	17	3	1	0	3	27	0	2	0	.173	.198	.224	.423	.051	.239	27	3	.175	-8	-12	+0	+0	+2	+3	-0.7
2023	18	ROK	FCL Blue Jays	59	54	9	1	0	0	2	17	3	0	0	.167	.237	.185	.422	.019	.243	29	3	.178	-6	-7	+0	+0	+1	+2	-0.4
2024	19	ROK	FCL Blue Jays	72	64	13	1	0	0	4	24	3	1	0	.203	.282	.219	.500	.016	.317	33	6	.217	24	-6	+0	+0	+1	+2	-0.3
2025	20	ROK	FCL Blue Jays	50	45	6	1	0	0	3	17	1	0	0	.133	.204	.156	.360	.022	.207	34	6	.164	-16	-7	+0	+0	+1	+1	-0.4
▸ 2026 Season
2026	21	MLB	TOR	55	50	10	2	0	1	4	16	1	1	0	.200	.273	.300	.573	.100	.288	29	7	.261	58	-3	+0	+0	+1	+2	0.0
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	22	MLB 11%	TOR	140	127	28	5	1	3	11	40	1	2	0	.220	.288	.346	.634	.126	.290	29	8	.281	73	-4	+0	+0	+3	+4	0.3
2028	23	MLB 28%	TOR	268	241	53	9	2	6	22	73	3	4	1	.220	.293	.349	.642	.129	.291	27	8	.293	83	-5	+0	+0	+5	+8	0.8
2029	24	MLB 45%	TOR	361	323	73	13	2	9	31	97	4	6	1	.226	.302	.362	.664	.136	.292	27	9	.301	89	-5	+1	+0	+6	+10	1.3
2030	25	MLB 60%	TOR	416	372	86	15	3	11	36	111	5	7	1	.231	.308	.376	.684	.145	.293	27	9	.306	92	-4	+1	+0	+7	+12	1.7
2031	26	MLB 77%	TOR	451	403	93	16	3	13	40	120	5	8	1	.231	.308	.382	.690	.151	.294	27	9	.308	94	-3	+1	+0	+8	+13	1.9
2032	27	MLB 92%	TOR	467	417	96	17	3	13	42	125	5	8	1	.230	.308	.379	.687	.149	.294	27	9	.308	94	-3	+1	+0	+8	+13	2.0
2033	28	MLB	TOR	473	422	97	17	3	13	43	127	5	7	1	.230	.309	.377	.685	.147	.294	27	9	.307	93	-4	+1	-1	+8	+13	1.9
2034	29	MLB	TOR	469	418	95	16	3	13	43	127	5	6	1	.227	.307	.373	.680	.146	.293	27	9	.305	92	-4	+1	-1	+8	+13	1.7
2035	30	MLB	TOR	463	413	93	16	3	12	42	127	5	5	0	.225	.304	.366	.670	.140	.291	27	9	.302	89	-6	+1	-2	+8	+13	1.5
2036	31	MLB	TOR	438	390	87	15	3	11	40	122	5	3	0	.223	.303	.362	.665	.138	.290	28	9	.298	86	-7	+1	-3	+8	+12	1.2
2037	32	MLB	TOR	409	365	80	14	2	10	37	116	4	1	0	.219	.298	.351	.649	.132	.288	28	9	.294	83	-8	+0	-4	+7	+12	0.8
2038	33	MLB	TOR	370	330	71	12	2	9	33	108	4	0	0	.215	.294	.345	.640	.130	.287	29	9	.288	79	-9	+0	-4	+7	+10	0.4
2039	34	MLB	TOR	319	284	60	10	2	7	29	96	3	0	0	.211	.291	.335	.626	.123	.285	30	9	.282	74	-9	+0	-5	+6	+9	0.0
2040	35	MLB	TOR	263	236	48	8	1	6	23	81	2	0	0	.203	.280	.322	.602	.119	.283	31	9	.274	68	-10	+0	-6	+5	+7	-0.3
2041	36	MLB	TOR	207	185	37	6	1	4	18	66	2	0	0	.200	.278	.308	.586	.108	.280	32	9	.265	61	-9	+0	-6	+4	+6	-0.6
▸ Career Totals (MLE all levels + projections)
Career	—			5851	5237	1152	197	35	141	506	1637	66	61	7	.220	.297	.352	.649	.132	.290	28	9	.292	81	-124	+9	-31	+104	+166	12.7
/ 162G	—			650	582	129	22	4	16	56	182	7	7	1	.222	.298	.356	.653	.134	.292	28	9	.292	81	-14	+1	-3	+12	+18	1.4

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	BB	SO	HBP	SB	AVG	OBP	SLG	OPS	ISO	BABIP	K%	BB%	wOBA	wRC+	BAT	RUN	FLD	POS	REP	WAR
2022	17	ROK	DSL Blue Jays	101	96	22	4	1	5	19	0	2	.229	.267	.292	.559	.063	.286	19	5	.254	52	-5	+0	—	—	+3	-0.2
2023	18	ROK	FCL Blue Jays	59	52	10	1	0	3	12	3	0	.192	.271	.212	.483	.019	.250	20	5	.233	36	-4	+0	—	—	+2	-0.3
2024	19	ROK	FCL Blue Jays	72	62	17	1	0	6	17	3	1	.274	.366	.290	.657	.016	.370	24	8	.308	94	-1	+0	—	—	+2	0.2
2025	20	ROK	FCL Blue Jays	50	43	8	1	0	5	12	1	0	.186	.286	.209	.495	.023	.250	24	10	.237	39	-3	+0	—	—	+1	-0.2

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 Meza (OGILVIE)	21	—	—	—	—	.205/.270/.300	.095	.288	1	1	30%	7%	58	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Tucker Mitchell 2022 · A	21	43	39→50	51→45	39	.202/.262/.293	.090	.301	6	7	33%	6%	52	-1.6	.193/.267/.305	.112	.296	13	8	37%	7%	59	-1.1	.178/.253/.291	.113	.253	15	7	34%	7%	47	-0.8
✕David Bote 2014 · A	21	40→48	39→55	47→45	47	.191/.269/.278	.087	.263	6	7	28%	9%	52	-1.6	.204/.273/.294	.090	.273	6	6	26%	7%	57	-1.2	.234/.308/.397	.164	.298	19	6	27%	8%	95	+1.0
●James McCann 2012 · A	22	41→51	42→50	49→45	39	.203/.260/.306	.103	.288	9	7	32%	6%	55	-1.4	.223/.261/.310	.087	.291	6	6	24%	4%	55	-1.4	.254/.315/.415	.161	.331	20	4	28%	7%	104	+1.1
●Bo Naylor 2021 · A	21	41→43	44→55	50	43	.203/.259/.325	.122	.273	11	7	29%	7%	59	-1.1	.199/.278/.352	.153	.276	18	12	33%	9%	75	-0.0	.216/.308/.399	.183	.269	22	12	28%	11%	97	+1.2
●Chun-Hsiu Chen 2010 · A	21	43→53	41→50	48→45	40	.209/.263/.306	.097	.302	8	6	32%	7%	55	-1.4	.250/.309/.388	.138	.334	12	4	27%	7%	96	+1.5	.256/.318/.393	.137	.347	12	4	28%	8%	99	+1.3
✕Agustín Ramírez 2023 · A	21	43→45	45→55	50	43	.213/.273/.339	.126	.289	12	10	30%	7%	69	-0.4	.229/.292/.389	.160	.276	19	13	24%	8%	90	+1.0	.230/.293/.405	.176	.264	22	16	22%	7%	92	+1.1
✕Eddys Leonard 2021 · A	20	42→46	40→50	46→45	45	.200/.274/.295	.095	.288	7	9	31%	8%	59	-1.1	.227/.293/.378	.151	.302	17	5	29%	7%	89	+0.9	.224/.290/.376	.152	.290	17	4	28%	6%	83	+0.5
✕Parker Meadows 2021 · A	21	40→47	41→55	46→55	42	.197/.253/.288	.091	.267	9	9	29%	7%	47	-1.9	.203/.263/.335	.132	.270	14	12	29%	7%	64	-0.8	.225/.292/.400	.175	.278	20	21	26%	8%	91	+1.1
✕Luis Torrens 2016 · A	20	42→49	38→55	49→30	44	.201/.271/.276	.075	.277	5	5	28%	7%	52	-1.6	.207/.270/.291	.084	.263	6	4	22%	7%	55	-1.4	.228/.285/.376	.148	.288	19	0	27%	7%	82	+0.3
✕Javier Valdes 2021 · A	22	40	37→55	50→30	45	.190/.266/.263	.073	.266	4	7	28%	8%	47	-1.9	.209/.291/.323	.114	.277	12	5	27%	8%	74	-0.1	.207/.303/.355	.148	.256	18	3	26%	9%	85	+0.3
✕Keon Broxton 2011 · A	21	38→48	41→55	53→60	36	.184/.238/.293	.109	.299	7	10	39%	6%	41	-2.3	.196/.253/.296	.100	.314	9	15	38%	7%	49	-1.8	.225/.301/.390	.165	.341	17	38	36%	9%	92	+1.0
✕Emmanuel Rivera 2017 · A	21	40→50	37→55	49→45	43	.190/.250/.266	.075	.266	3	10	28%	7%	40	-2.4	.234/.273/.341	.107	.295	9	6	23%	4%	68	-0.5	.246/.303/.412	.166	.293	19	4	22%	7%	97	+1.1
✕Eguy Rosario 2021 · A	21	43→49	42→55	48→55	39	.213/.259/.322	.109	.292	9	12	30%	5%	58	-1.2	.227/.286/.366	.139	.304	14	20	28%	7%	82	+0.5	.223/.285/.369	.146	.292	15	21	28%	7%	80	+0.2
✕Chris Nelson 2007 · A	21	41→51	42→50	49→50	37	.204/.244/.308	.104	.272	9	9	28%	4%	48	-1.9	.223/.274/.359	.136	.280	13	12	24%	6%	75	-0.0	.257/.301/.387	.130	.311	13	7	21%	5%	87	+0.6
✕Daniel Schneemann 2019 · A	22	39→49	40→50	50	43	.189/.254/.283	.094	.277	7	6	33%	8%	46	-2.0	.211/.272/.298	.087	.290	7	8	28%	7%	57	-1.2	.226/.305/.377	.151	.297	15	13	28%	10%	89	+0.7
✕Dusty Ryan 2006 · A	21	38→47	40→50	44→40	39	.189/.242/.278	.089	.268	8	6	32%	6%	40	-2.4	.202/.268/.307	.105	.307	11	4	35%	7%	59	-1.1	.208/.285/.361	.154	.308	17	3	36%	9%	77	+0.1
✕Jonathan Ornelas 2021 · A	21	41→51	39→45	50	41	.200/.257/.289	.089	.276	6	11	29%	6%	49	-1.8	.224/.274/.329	.105	.305	11	10	29%	5%	66	-0.6	.228/.286/.328	.100	.313	11	12	29%	6%	68	-0.4
✕Michael Chavis 2017 · A	21	36→46	45→60	46→45	34	.189/.233/.308	.119	.271	13	6	35%	4%	44	-2.1	.224/.274/.401	.177	.296	23	4	32%	5%	86	+0.8	.235/.292/.438	.203	.304	29	3	32%	6%	100	+1.1
✕Max Stassi 2012 · A	21	40→43	44→55	43→40	41	.198/.260/.309	.111	.287	12	5	34%	7%	56	-1.3	.218/.270/.362	.144	.290	17	4	30%	5%	74	-0.1	.208/.295/.359	.151	.271	20	0	30%	10%	81	+0.2
✕Elias Díaz 2012 · A	21	38→48	38→50	46→45	40	.185/.232/.266	.080	.243	5	5	26%	5%	32	-3.0	.201/.249/.282	.081	.251	5	5	21%	5%	43	-2.2	.253/.312/.392	.139	.280	17	0	16%	7%	96	+0.8

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)