Carlos Vasquez — OGILVIE

Carlos VasquezC FCL Blue Jays

Age 21 L/R 5'8" / 150 lbs ROK Svc 0.0 · Ctrl thru 2037

2026 FULL-SEASON PROJECTIONpark-neutral Marcel · 76 proj PA

wRC+†55

AVG/OBP/SLG.198 / .266 / .273

PA6

HR0

K%30

BB%8

ISO76

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$11M ctrl surplus

Tools · Contract

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	Pre-Arb	$0.9M	+0.4	$1M	+$0.5M
2033	Pre-Arb	$1.0M	+0.3	$0.7M	+$0.2M
2034	Pre-Arb	$1.0M	+0.2	$0.4M	+$0.0M
2035	Arb-1	$1M	+0.1	$0.2M	+$0.0M (cut)
2036	Arb-2	$0.7M	—	—	—
2037	Ext	beyond projection horizon · no WAR estimate
Totals		$3M		$2M	+$0.8M

Career Stats + Projections

Real MLB stats plus park-adjusted projections — this season (so far / rest / full), then future seasons and career totals.

show model inputsbasis chips: RAW = as recorded · CTX = with park/league context · A+C = actual + context combined · MLE = level/park-neutral

Methodology▸ how these numbers are built

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. Catcher framing: only 2026 Statcast framing is modeled (Baseball Savant server-caches the leaderboard to the current season); prior-year framing is unmodeled — projections for established framers may run below FG-DC by 1-3 WAR.

Year	Age	Lvl	Team	MLB%	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
▸ Career — actual stats, one row per stint (as recorded, no adjustments)
2022	17	ROK	DSL Blue Jays	—	134	109	31	5	0	0	21	25	2	3	1	284	409	330	739	46	360	19	16	344	119	+3	+0	—	—	+3	0.6
2023	18	ROK	FCL Blue Jays	—	102	81	15	2	0	0	19	20	1	3	1	185	347	210	556	25	246	20	19	278	74	-3	+0	—	—	+2	-0.1
2024	19	ROK	FCL Blue Jays	—	163	135	29	6	1	0	22	42	2	4	4	215	333	274	607	59	302	26	13	283	77	-4	-1	—	—	+4	-0.2
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2022	17	ROK MLE	DSL Blue Jays	—	134	117	25	4	0	0	13	36	2	3	1	214	303	248	551	34	285	27	10	248	54	-7	+0	—	—	+3	-0.4
2023	18	ROK MLE	FCL Blue Jays	—	102	88	12	1	0	0	12	29	1	3	1	136	248	148	395	11	212	28	12	202	23	-9	+0	—	—	+2	-0.7
2024	19	ROK MLE	FCL Blue Jays	—	163	144	23	4	1	0	13	60	2	4	4	160	239	201	440	42	247	37	8	200	22	-15	-1	—	—	+4	-1.3
2022	17	ROK MLE	DSL Blue Jays	—	134	117	25	4	0	0	13	36	2	3	1	214	303	248	551	34	301	27	10	248	54	—	—	—	—	—	—
2022	17	ROK RAW	DSL Blue Jays	—	134	109	31	5	0	0	21	25	2	3	1	284	409	330	739	46	360	19	16	344	54	—	—	—	—	—	—
2023	18	ROK MLE	FCL Blue Jays	—	102	88	12	1	0	0	12	29	1	3	1	136	248	148	395	11	203	28	12	202	23	—	—	—	—	—	—
2023	18	ROK RAW	FCL Blue Jays	—	102	81	15	2	0	0	19	20	1	3	1	185	347	210	556	25	246	20	19	278	23	—	—	—	—	—	—
2024	19	ROK MLE	FCL Blue Jays	—	163	144	23	4	1	0	13	60	2	4	4	160	239	201	440	42	264	37	8	200	22	—	—	—	—	—	—
2024	19	ROK RAW	FCL Blue Jays	—	163	135	29	6	1	0	22	42	2	4	4	215	333	274	607	59	302	26	13	283	22	—	—	—	—	—	—
2022	17	ROK MLE	DSL Blue Jays	—	134	118	25	4	0	0	13	36	2	3	1	212	303	246	549	34	285	27	10	248	54	—	—	—	—	—	—
2023	18	ROK MLE	FCL Blue Jays	—	102	88	12	1	0	0	12	29	1	3	1	136	248	148	395	11	212	28	12	202	23	—	—	—	—	—	—
2024	19	ROK MLE	FCL Blue Jays	—	163	147	23	4	1	0	13	60	2	4	4	156	239	197	436	41	247	37	8	200	22	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	18	ROK MLE	FCL Blue Jays	—	102	88	12	1	0	0	12	29	1	3	1	136	248	148	395	11	212	28	12	202	23	—	—	—	—	—	—
2024	19	ROK MLE	FCL Blue Jays	—	163	147	23	4	1	0	13	60	2	4	4	156	239	197	436	41	247	37	8	200	22	—	—	—	—	—	—
▸ 2026 season
2026	21	MLB MLE	TOR	0%	6	6	1	0	0	0	0	2	0	0	0	167	167	167	333		286	33	0	250	55	-0	+0	+0	+0	+0	0.0
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	22	MLB MLE	TOR	34%	120	109	23	4	1	2	9	35	1	2	0	211	277	321	598	110	288	29	8	263	64	-5	+0	+0	+2	+3	-0.0
2028	23	MLB MLE	TOR	48%	255	231	49	8	2	4	20	73	2	3	1	212	281	316	597	104	289	29	8	272	70	-9	+0	+0	+5	+6	0.1
2029	24	MLB MLE	TOR	53%	354	320	69	12	2	6	28	100	3	5	1	216	285	322	607	106	290	28	8	278	74	-11	+1	+0	+6	+8	0.4
2030	25	MLB MLE	TOR	55%	415	375	81	14	2	8	33	116	4	6	2	216	286	328	614	112	291	28	8	281	77	-12	+0	+0	+7	+9	0.5
2031	26	MLB MLE	TOR	56%	452	409	89	15	3	9	36	127	4	6	2	218	287	335	622	117	291	28	8	283	78	-12	+0	+0	+8	+10	0.6
2032	27	MLB MLE	TOR	55%	471	425	93	16	3	10	38	133	5	6	2	219	291	341	632	122	290	28	8	283	78	-12	+0	+0	+8	+10	0.7
2033	28	MLB MLE	TOR	55%	479	431	94	16	3	10	40	135	5	6	2	218	292	339	631	121	290	28	8	282	77	-13	+0	-1	+9	+10	0.6
2034	29	MLB MLE	TOR	53%	477	429	93	16	3	9	40	136	5	6	2	217	291	331	622	114	289	29	8	280	76	-14	+0	-1	+9	+10	0.4
2035	30	MLB MLE	TOR	53%	471	424	90	15	2	9	39	135	5	5	1	212	286	321	607	108	288	29	8	277	74	-15	+1	-2	+8	+10	0.3
2036	31	MLB MLE	TOR	52%	446	402	84	14	2	8	37	129	4	4	1	209	282	313	596	104	285	29	8	273	71	-15	+0	-3	+8	+10	-0.0
2027	22	MLB CTX	TOR	34%	41	38	8	1	0	1	3	12	0	1	0	211	268	316	584	105	289	29	7	257	64	-2	+0	+0	+1	+1	0.0
2028	23	MLB CTX	TOR	48%	124	112	24	4	1	2	10	36	1	2	0	214	285	321	606	107	291	29	8	266	70	-4	+0	+0	+2	+3	0.1
2029	24	MLB CTX	TOR	53%	187	168	36	6	1	3	15	53	2	2	1	214	286	315	602	101	292	28	8	272	74	-6	+0	+0	+3	+4	0.2
2030	25	MLB CTX	TOR	55%	227	205	44	8	1	4	18	64	2	3	1	215	284	322	606	107	292	28	8	275	77	-6	+0	+0	+4	+5	0.3
2031	26	MLB CTX	TOR	56%	252	228	51	9	2	5	20	71	2	3	1	224	292	346	638	123	292	28	8	277	78	-7	+0	+0	+4	+5	0.4
2032	27	MLB CTX	TOR	55%	259	233	52	9	2	5	21	73	3	3	1	223	296	343	639	120	292	28	8	277	78	-7	+0	+0	+5	+6	0.4
2033	28	MLB CTX	TOR	55%	262	235	52	9	2	5	22	74	3	3	1	221	296	340	637	119	291	28	8	276	77	-7	+0	-0	+5	+6	0.3
2034	29	MLB CTX	TOR	53%	254	229	49	8	1	5	21	72	2	3	1	214	286	323	609	109	290	28	8	274	76	-7	+0	-1	+5	+6	0.2
2035	30	MLB CTX	TOR	53%	248	223	48	8	1	5	21	71	2	3	1	215	289	327	616	112	289	29	8	271	74	-8	+0	-1	+4	+5	0.1
2036	31	MLB CTX	TOR	52%	232	209	43	7	1	4	19	67	2	2	1	206	278	306	584	100	287	29	8	267	71	-8	+0	-1	+4	+5	-0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2086	1880	407	69	12	39	170	593	19	25	8	216	288	328	616	112	293	28	8	273	71	-62	+2	-4	+37	+45	1.9
/ 162G	—	A+C		—	650	586	127	22	4	12	53	185	6	8	2	217	288	329	618	113	293	28	8	273	71	-19	+1	-1	+12	+14	0.6
Career	—	MLE		—	4345	3910	826	139	24	75	358	1246	43	59	20	211	285	317	601	105	288	29	8	273	71	-118	+4	-7	+70	+85	3.6
/ 162G	—	MLE		—	650	585	124	21	4	11	54	186	6	9	3	212	285	318	603	106	289	29	8	273	71	-19	+1	-1	+12	+14	0.6

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Brendan Ryanlast yr '15 career totals — 9 seasons, 2,872 PA	4.3	2,872	19	67	234	295	315	+30	+85	10.6	11.0
/162	664	4	15	+6.9	+19.7	2.4	pk7: 11
#2Adeiny Hechavarríalast yr '20 career totals — 9 seasons, 3,288 PA	5.0	3,288	37	35	253	291	351	+32	+46	8.6	8.8
/162	664	7	7	+6.5	+9.3	1.7	pk7: 9
#3Sandy Leónlast yr '22 career totals — 9 seasons, 1,648 PA	2.5	1,648	31	1	209	276	313	+29	+56	6.4	6.7
/162	664	12	0	+11.9	+22.4	2.6	pk7: 7
#4Ronny Cedenolast yr '13 career totals — 9 seasons, 2,783 PA	4.2	2,783	40	39	246	289	354	+28	+19	5.5	5.6
/162	664	10	9	+6.7	+4.5	1.3	pk7: 6
#5Adam Engellast yr '22 career totals — 6 seasons, 1,540 PA	2.3	1,540	30	47	225	280	350	+4	+33	4.1	4.1
/162	664	13	20	+1.8	+14.4	1.8	pk7: 4
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 6 projected seasons	3.3	2,161	41	27	216	285	329	+39	+24	3.5	3.3
/162	664	13	8	+11.9	+7.4	1.1	pk7: 3
#6Ryan Goinslast yr '19 career totals — 7 seasons, 1,680 PA	2.5	1,680	22	6	230	279	335	+9	+21	2.0	2.0
/162	664	9	2	+3.7	+8.5	0.8	pk7: 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
Carlos Vasquez (OGILVIE)	21	—	—	—	—	198/266/273	75	286	1	1	30%	8%	55	-0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Carlos Franco 2012 · A	20	35→45	37→45	52→45	39	172/228/242	70	257	5	9	34%	6%	33	-3.6	204/263/275	71	292	4	8	29%	7%	53	-2.1	215/273/317	101	306	11	3	32%	7%	64	-1.1
✕Mike McDade 2009 · A	20	36→46	37→50	47→30	35	179/217/250	71	267	5	3	34%	4%	30	-3.8	216/256/343	127	308	14	2	33%	4%	67	-1.1	237/278/370	133	310	16	1	28%	4%	80	-0.1
✕Jose Paniagua 2014 · A	20	34	37→50	42→55	38	168/222/238	70	249	4	6	33%	6%	30	-3.8	194/249/295	101	279	8	10	31%	6%	53	-2.1	195/250/314	119	272	10	13	31%	6%	55	-0.7
✕Brian Navarreto 2016 · A	21	36	37→45	47→30	36	178/215/250	72	248	5	3	30%	4%	29	-3.8	187/225/255	68	250	5	2	26%	4%	34	-3.5	200/249/314	115	246	14	1	25%	5%	55	-0.7
✕Randy Claxton 2007 · A	21	35	35→30	46→45	40	170/233/226	56	243	3	7	30%	6%	32	-3.7	195/281/257	62	265	2	6	25%	8%	57	-1.8	184/298/226	42	243	0	2	21%	10%	58	-0.6
✕Roberto Perez 2009 · A	20	33	38→45	43→30	39	167/229/240	73	245	7	3	34%	6%	34	-3.5	200/268/307	107	263	11	4	27%	7%	63	-1.3	189/266/312	123	228	15	1	24%	8%	65	-0.5
✕Nick Basto 2014 · A	20	38→48	35→45	42→30	34	184/221/239	54	270	4	3	32%	4%	28	-3.9	195/239/287	92	277	9	3	32%	4%	47	-2.5	203/259/307	104	279	11	0	30%	6%	58	-1.2
✕Luis Chaves 2016 · A	21	33	38→45	53→45	33	163/213/248	85	275	5	7	41%	5%	28	-3.9	174/220/243	69	287	3	6	38%	5%	30	-3.8	110/140/147	38	187	0	0	40%	3%	-24	-1.9
✕Xavier Hernandez 2006 · A	20	36	36→40	49→30	36	173/233/232	59	289	4	5	39%	6%	32	-3.6	203/261/282	79	296	7	4	32%	6%	55	-2.0	201/260/275	74	277	8	0	29%	6%	54	-0.8
✕David Washington 2010 · A	19	39	35→55	49→45	33	181/231/236	55	318	3	6	42%	5%	32	-3.6	192/249/297	105	309	10	6	38%	6%	53	-2.1	176/238/329	153	268	19	3	40%	7%	55	-0.7
✕John Silviano 2014 · A	20	32→34	40→50	42→40	41	166/236/258	92	256	8	4	37%	8%	40	-3.0	183/239/276	93	328	8	5	43%	6%	45	-2.7	179/240/323	144	277	18	2	41%	7%	54	-1.0
✕Earving Fernandez 2007 · A	19	38	35→40	46→45	39	182/223/239	57	244	3	6	26%	5%	30	-3.8	211/266/277	66	283	3	8	25%	6%	55	-1.9	215/273/275	59	289	3	9	25%	6%	56	-0.6
✕Carlos Quintana 2007 · A	20	41	34→40	42→40	33	185/233/237	52	322	2	6	41%	5%	33	-3.6	211/273/284	73	298	4	6	28%	7%	59	-1.6	214/278/283	69	296	4	8	27%	6%	59	-0.5
✕Ramy Perez 2015 · A	20	37	35→30	47→50	40	177/236/235	58	246	3	6	28%	6%	34	-3.5	194/241/256	62	251	2	8	23%	5%	40	-3.0	190/232/242	52	239	1	9	20%	4%	31	-1.2
✕Jake Gatewood 2017 · A	21	35→39	41→50	42→45	30	179/211/276	97	279	9	5	39%	4%	34	-3.5	189/231/310	121	299	13	5	39%	5%	50	-2.3	160/206/312	152	240	20	6	42%	4%	39	-2.1
✕Jorge Parra 2014 · A	19	38	34→30	46→40	37	179/232/234	54	280	2	9	35%	6%	32	-3.6	193/247/254	61	282	2	6	30%	6%	42	-2.9	192/242/250	58	273	1	4	28%	5%	40	-1.0
✕Luis Paz 2015 · A	19	34→33	35→45	41→40	42	166/229/220	54	231	3	5	28%	7%	28	-3.9	188/234/287	99	275	9	5	33%	5%	45	-2.7	183/225/313	130	264	14	3	36%	5%	45	-1.2
✕Hanser Ortiz 2015 · A	21	40	34→30	47→45	42	187/230/236	48	243	2	7	23%	5%	31	-3.7	178/239/241	63	236	3	6	24%	6%	37	-3.3	150/221/208	58	196	3	4	24%	7%	23	-1.5
✕Antonio Jimenez 2009 · A	22	39	37→40	48→50	33	187/224/256	69	298	4	11	38%	4%	34	-3.5	191/224/264	73	297	4	9	35%	3%	35	-3.4	166/183/237	70	246	2	7	33%	1%	11	-2.0
✕Wascar Rodriguez 2014 · A	19	34	38→45	41→40	32	163/218/236	73	298	6	4	45%	6%	28	-3.9	184/253/275	91	339	6	5	44%	7%	51	-2.3	155/238/257	102	293	7	2	45%	7%	40	-1.2

Career Stats + Projections

Career Comps

Career Path Comps