Carlos Vasquez — OGILVIE

Carlos VasquezC FCL Blue Jays

Age 21 L/R 5'8" / 150 lbs ROK HR +12%BB +4% Svc 0.0 · Ctrl thru 2037 peak 2.1 · 2032

wRC+†61

AVG/OBP/SLG.207 / .274 / .306

PA76

HR1

K%29

BB%8

MLB%0%

trajectory · 10 yrs

2.1peak

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	+2.1	$20M	+$19M
2033	Ext / FA-deal	$1.0M	+2.0	$20M	+$19M
2034	Ext / FA-deal	$1.0M	+1.8	$18M	+$17M
2035	Ext / FA-deal	$3M	+1.6	$17M	+$14M
2036	Ext / FA-deal	$4M	+1.3	$14M	+$10M
2037	Ext / FA-deal	$4M	+0.9	$5M	+$1M
Totals		$14M		$94M	+$80M

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	134	118	25	4	0	0	12	36	2	3	1	.212	.295	.246	.541	.034	.298	27	9	.247	47	-8	+0	+0	+2	+4	-0.2
2023	18	ROK	FCL Blue Jays	102	88	13	1	0	0	12	29	1	3	1	.148	.257	.159	.417	.011	.220	28	12	.204	14	-10	+0	+0	+2	+3	-0.5
2024	19	ROK	FCL Blue Jays	163	144	22	4	0	0	13	60	2	4	4	.153	.233	.181	.413	.028	.253	37	8	.197	9	-17	-1	+0	+3	+5	-1.0
▸ 2026 Season
2026	21	MLB	TOR	76	69	14	3	0	1	6	22	1	1	0	.203	.276	.290	.566	.087	.287	29	8	.265	61	-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	120	108	23	4	1	2	10	33	1	2	0	.213	.286	.324	.610	.111	.289	28	8	.284	76	-3	+0	+0	+2	+3	0.3
2028	23	MLB 28%	TOR	255	228	51	9	2	6	22	69	3	4	1	.224	.300	.360	.660	.136	.291	27	9	.296	85	-4	+0	+0	+5	+7	0.8
2029	24	MLB 45%	TOR	354	316	72	13	2	9	31	94	4	6	1	.228	.305	.367	.672	.139	.292	27	9	.303	90	-4	+1	+0	+6	+10	1.4
2030	25	MLB 60%	TOR	415	371	86	15	3	12	37	109	4	7	2	.232	.308	.385	.694	.154	.293	26	9	.308	94	-3	+1	+0	+7	+12	1.7
2031	26	MLB 77%	TOR	452	403	94	17	3	13	41	118	5	8	2	.233	.312	.387	.699	.154	.293	26	9	.310	96	-2	+1	+0	+8	+13	2.0
2032	27	MLB 92%	TOR	471	419	97	17	3	13	44	124	5	8	2	.232	.312	.379	.691	.148	.293	26	9	.310	96	-2	+1	+0	+8	+13	2.1
2033	28	MLB	TOR	479	426	98	17	3	14	45	127	5	7	1	.230	.311	.383	.694	.153	.293	27	9	.309	95	-3	+1	-1	+9	+14	2.0
2034	29	MLB	TOR	477	424	97	17	3	13	45	128	5	7	1	.229	.310	.375	.685	.146	.292	27	9	.307	93	-4	+1	-1	+9	+14	1.8
2035	30	MLB	TOR	471	419	95	17	3	13	44	128	5	5	0	.227	.308	.375	.682	.148	.291	27	9	.304	91	-5	+1	-2	+8	+13	1.6
2036	31	MLB	TOR	446	397	89	16	2	12	42	123	4	3	0	.224	.305	.365	.670	.141	.289	28	9	.300	88	-6	+1	-3	+8	+13	1.3
2037	32	MLB	TOR	417	371	81	14	2	11	39	117	4	1	0	.218	.300	.356	.655	.137	.288	28	9	.296	84	-7	+0	-4	+7	+12	0.9
2038	33	MLB	TOR	378	336	73	13	2	9	35	109	4	0	0	.217	.299	.348	.647	.131	.286	29	9	.290	80	-8	+0	-4	+7	+11	0.5
2039	34	MLB	TOR	326	290	61	10	2	7	30	96	3	0	0	.210	.291	.331	.622	.121	.284	29	9	.284	75	-9	+0	-5	+6	+9	0.1
2040	35	MLB	TOR	270	241	49	8	1	6	25	83	2	0	0	.203	.284	.320	.603	.116	.282	31	9	.276	69	-9	+0	-6	+5	+8	-0.2
2041	36	MLB	TOR	213	190	37	6	1	4	19	67	2	0	0	.195	.275	.300	.575	.105	.279	31	9	.267	63	-9	+0	-6	+4	+6	-0.6
▸ Career Totals (MLE all levels + projections)
Career	—			6019	5358	1177	205	33	145	552	1672	62	69	16	.220	.300	.351	.651	.132	.289	28	9	.293	83	-117	+7	-31	+107	+171	14.0
/ 162G	—			650	579	128	22	4	16	60	181	7	7	2	.221	.302	.356	.658	.135	.291	28	9	.293	83	-13	+1	-3	+12	+18	1.5

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	CS	AVG	OBP	SLG	OPS	ISO	BABIP	K%	BB%	wOBA	wRC+	BAT	RUN	FLD	POS	REP	WAR
2022	17	ROK	DSL Blue Jays	134	109	31	5	0	21	25	2	3	1	.284	.409	.330	.739	.046	.360	19	16	.344	121	+3	+0	—	—	+4	0.7
2023	18	ROK	FCL Blue Jays	102	81	15	2	0	19	20	1	3	1	.185	.347	.210	.556	.025	.246	20	19	.278	71	-3	+0	—	—	+3	-0.0
2024	19	ROK	FCL Blue Jays	163	135	29	6	1	22	42	2	4	4	.215	.333	.274	.607	.059	.302	26	13	.283	74	-5	-1	—	—	+5	-0.1

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
Carlos Vasquez (OGILVIE)	21	—	—	—	—	.207/.274/.306	.099	.287	1	1	29%	8%	61	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
●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
✕Randy Florentino 2021 · A	21	43	41→50	42→45	48	.206/.286/.310	.104	.297	8	6	31%	10%	67	-0.5	.180/.241/.263	.083	.269	8	5	34%	7%	36	-2.7	.183/.230/.260	.077	.238	8	4	26%	5%	28	-1.0
✕Carter Jensen 2023 · A	20	38→47	43→50	46→50	46	.188/.269/.299	.110	.273	10	7	33%	10%	58	-1.2	.198/.288/.331	.133	.275	13	9	30%	11%	74	-0.1	.206/.294/.357	.151	.275	17	10	30%	11%	81	+0.4
✕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
✕Shed Long Jr. 2017 · A	21	46→48	44→50	50	43	.226/.283/.344	.118	.302	11	11	28%	7%	74	-0.1	.233/.292/.373	.140	.317	15	11	29%	7%	85	+0.7	.230/.292/.378	.148	.312	16	11	30%	7%	83	+0.4
✕Jason Martin 2017 · A	21	43→50	45→60	48→50	45	.216/.275/.346	.130	.280	12	13	27%	7%	71	-0.3	.222/.270/.365	.143	.297	15	12	29%	6%	74	-0.1	.218/.285/.408	.191	.271	26	8	29%	8%	90	+0.7
●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
●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
✕Hoy Park 2016 · A	20	41→50	41→45	47→55	46	.198/.271/.297	.099	.267	8	10	28%	8%	57	-1.2	.198/.270/.283	.085	.271	5	16	27%	8%	53	-1.5	.229/.318/.327	.099	.300	9	17	24%	11%	81	+0.3
●TJ Friedl 2017 · A	21	48→53	42→50	51→55	42	.228/.286/.337	.109	.309	8	10	28%	6%	73	-0.1	.226/.293/.326	.100	.295	6	15	24%	7%	74	-0.1	.246/.337/.381	.136	.276	15	18	16%	10%	103	+1.8
✕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
✕Luis Torrens 2017 · A	21	43→49	41→55	46→30	47	.210/.281/.305	.094	.262	9	6	23%	8%	64	-0.8	.214/.267/.307	.093	.269	7	3	22%	6%	57	-1.2	.228/.285/.376	.148	.288	19	0	27%	7%	82	+0.3
✕Rio Ruiz 2014 · A	20	44→52	44→50	50→40	45	.216/.273/.341	.124	.279	10	8	26%	7%	69	-0.4	.232/.297/.343	.111	.298	9	4	23%	8%	79	+0.3	.223/.289/.369	.145	.265	17	3	22%	8%	81	+0.2
●Drake Baldwin 2023 · A	22	48→53	38→50	50→30	47	.220/.298/.300	.081	.318	5	8	30%	9%	69	-0.4	.236/.307/.376	.140	.295	16	3	24%	9%	93	+1.3	.265/.334/.430	.166	.298	22	1	19%	9%	118	+1.8
✕Jace Jung 2023 · A	22	45→42	39→55	50→40	50	.212/.293/.305	.093	.295	6	8	28%	10%	69	-0.4	.219/.303/.384	.165	.289	20	4	29%	10%	94	+1.3	.212/.303/.382	.169	.274	21	3	29%	11%	91	+1.0
✕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
✕Alek Thomas 2021 · A	21	50→52	42→50	48→50	43	.241/.293/.352	.111	.314	8	10	25%	6%	79	+0.3	.243/.298/.388	.145	.306	13	11	24%	7%	92	+1.2	.243/.296/.389	.146	.295	14	11	22%	6%	87	+0.7
✕Ryan Kalish 2009 · A	21	48→51	39→50	50→55	45	.228/.286/.311	.083	.303	6	12	26%	7%	66	-0.6	.241/.299/.373	.132	.302	14	19	24%	7%	89	+0.9	.245/.304/.385	.141	.300	15	24	23%	7%	91	+0.8
●Derek Norris 2009 · A	20	40→50	42→55	49→50	43	.194/.269/.300	.106	.295	9	6	35%	9%	58	-1.2	.209/.301/.372	.163	.281	20	6	31%	11%	91	+1.1	.254/.332/.403	.149	.311	15	5	22%	10%	106	+1.6
●Hunter Goodman 2022 · A	22	46→47	42→65	50→40	43	.220/.291/.330	.111	.304	9	7	29%	7%	75	-0.0	.215/.268/.415	.200	.284	26	4	34%	6%	88	+0.9	.221/.275/.455	.234	.259	32	2	29%	6%	99	+1.4

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)