Juan Rosas — OGILVIE

Juan RosasC Dunedin Blue Jays

Age 20 R/R 6'0" / 180 lbs A Svc 0.0 · Ctrl thru 2036

2026 ROS PROJECTION44 act + 8 ros · stats below = ROS only

showingROS

wRC+†50

AVG/OBP/SLG.143 / .250 / .143

PA8

HR0

K%38

BB%12

BABIP285

ISO84

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$1M ctrl surplus

Tools · Contract

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	+0.2	$0.5M	+$0.0M
2032	Pre-Arb	$0.9M	+0.2	$0.5M	+$0.0M
2033	Pre-Arb	$1.0M	+0.2	$0.5M	+$0.0M
2034	Arb-1	$1M	+0.1	$0.2M	+$0.0M (cut)
2035	Arb-2	$1M	+0.1	$0.2M	+$0.0M (cut)
2036	Arb-3	$1.0M	—	—	—
Totals		$3M		$2M	+$0.0M

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)
2023	17	ROK	DSL Blue Jays	—	55	51	8	2	0	1	3	16	1	0	0	157	218	255	473	98	206	29	5	218	34	-4	+0	—	—	+1	-0.3
2025	19	ROK	FCL Blue Jays	—	81	71	12	3	0	0	8	25	2	0	1	169	272	211	483	42	261	31	10	235	45	-5	-0	—	—	+2	-0.4
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2023	17	ROK MLE	DSL Blue Jays	—	55	52	5	1	0	1	2	23	1	0	0	96	145	173	319	77	157	42	4	136	-22	-8	+0	—	—	+1	-0.7
2025	19	ROK MLE	FCL Blue Jays	—	81	74	8	2	0	0	5	36	2	0	1	108	185	135	320	27	202	44	6	148	-14	-11	-0	—	—	+2	-1.0
2023	17	ROK MLE	DSL Blue Jays	—	55	52	5	1	0	1	2	23	1	0	0	96	145	173	319	77	143	42	4	136	-22	—	—	—	—	—	—
2023	17	ROK RAW	DSL Blue Jays	—	55	51	8	2	0	1	3	16	1	0	0	157	218	255	473	98	206	29	5	218	-22	—	—	—	—	—	—
2025	19	ROK MLE	FCL Blue Jays	—	81	74	8	2	0	0	5	36	2	0	1	108	185	135	320	27	211	44	6	148	-14	—	—	—	—	—	—
2025	19	ROK RAW	FCL Blue Jays	—	81	71	12	3	0	0	8	25	2	0	1	169	272	211	483	42	261	31	10	235	-14	—	—	—	—	—	—
2023	17	ROK MLE	DSL Blue Jays	—	55	52	5	1	0	1	2	23	1	0	0	96	145	173	319	77	157	42	4	136	-22	—	—	—	—	—	—
2025	19	ROK MLE	FCL Blue Jays	—	81	74	8	2	0	0	5	36	2	0	1	108	185	135	320	27	202	44	6	148	-14	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	17	ROK MLE	DSL Blue Jays	—	55	52	5	1	0	1	2	23	1	0	0	96	145	173	319	77	157	42	4	136	-22	—	—	—	—	—	—
2025	19	ROK MLE	FCL Blue Jays	—	81	74	8	2	0	0	5	36	2	0	1	108	185	135	320	27	202	44	6	148	-14	—	—	—	—	—	—
YTD	20	A MLE	TOR	—	44	38	4	0	0	1	5	23	1	0	0	105	227	184	411	79	214	52	11	197	19	-4	+0	+0	+1	+1	-0.3
▸ 2026 season
YTD	20	A RAW	TOR	—	44	36	6	0	0	1	7	16	1	0	0	167	318	250	568	83	263	36	16	278	19	—	—	—	—	—	—
ROS	20	A MLE	TOR	0%	8	7	1	0	0	0	1	3	0	0	0	143	250	143	393		284	38	12	242	50	-0	+0	+0	+0	+0	-0.0
TOT	20	A MLE	TOR	—	52	45	5	0	0	1	6	26	1	0	0	111	231	178	409	67	222	50	12	204	24	-5	+0	+0	+1	+1	-0.3
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	21	MLB MLE	TOR	34%	196	176	35	6	1	3	15	66	3	2	1	199	273	295	569	97	288	34	8	255	59	-10	+0	+0	+4	+4	-0.2
2028	22	MLB MLE	TOR	48%	323	291	59	10	2	6	25	105	4	3	1	203	275	313	588	110	289	33	8	264	65	-14	+0	+0	+6	+7	-0.1
2029	23	MLB MLE	TOR	54%	408	368	76	13	2	8	32	130	5	4	1	207	279	318	597	111	290	32	8	270	69	-15	+0	+0	+7	+9	0.1
2030	24	MLB MLE	TOR	55%	466	421	86	15	2	9	36	147	6	4	2	204	276	314	590	109	291	32	8	273	71	-16	+0	+0	+8	+10	0.2
2031	25	MLB MLE	TOR	56%	498	449	94	16	3	10	39	157	7	4	2	209	283	325	608	116	292	32	8	275	72	-16	+0	+0	+9	+11	0.3
2032	26	MLB MLE	TOR	56%	516	464	98	17	3	11	40	162	7	5	2	211	284	332	616	121	291	31	8	276	73	-17	+0	+0	+9	+11	0.4
2033	27	MLB MLE	TOR	55%	520	467	98	17	3	11	41	164	7	5	2	210	283	330	613	120	291	32	8	276	73	-17	+0	+0	+9	+11	0.4
2034	28	MLB MLE	TOR	55%	520	466	97	16	3	11	42	165	7	4	2	208	283	326	610	118	291	32	8	275	72	-17	+0	-1	+9	+11	0.3
2035	29	MLB MLE	TOR	53%	516	462	95	16	2	11	42	165	7	4	2	206	282	320	602	115	290	32	8	273	71	-18	+0	-1	+9	+11	0.1
2036	30	MLB MLE	TOR	53%	507	454	93	16	2	10	41	163	7	4	1	205	281	315	596	110	288	32	8	270	69	-19	+0	-2	+9	+11	-0.0
2027	21	MLB CTX	TOR	34%	67	61	12	2	0	1	5	22	1	1	0	197	269	279	547	82	290	33	7	246	59	-3	+0	+0	+1	+1	-0.0
2028	22	MLB CTX	TOR	48%	157	142	29	5	1	3	12	51	2	1	1	204	276	317	593	113	291	32	8	255	65	-7	-0	+0	+3	+3	-0.1
2029	23	MLB CTX	TOR	54%	221	199	41	7	1	4	17	70	3	2	1	206	279	312	590	106	292	32	8	261	69	-8	+0	+0	+4	+5	0.0
2030	24	MLB CTX	TOR	55%	258	233	48	8	1	5	20	81	3	2	1	206	277	313	591	107	293	31	8	265	71	-9	+0	+0	+5	+6	0.1
2031	25	MLB CTX	TOR	56%	279	251	53	9	2	6	22	88	4	3	1	211	285	335	620	124	293	32	8	266	72	-9	+0	+0	+5	+6	0.2
2032	26	MLB CTX	TOR	56%	290	261	55	9	2	6	23	91	4	3	1	211	285	330	614	119	293	31	8	267	73	-9	+0	+0	+5	+6	0.2
2033	27	MLB CTX	TOR	55%	288	259	54	9	2	6	23	91	4	3	1	208	283	328	611	120	293	32	8	267	73	-9	+0	+0	+5	+6	0.2
2034	28	MLB CTX	TOR	55%	285	256	53	9	1	6	23	90	4	2	1	207	283	320	603	113	292	32	8	266	72	-9	+0	-0	+5	+6	0.1
2035	29	MLB CTX	TOR	53%	276	248	52	9	1	6	22	88	4	2	1	210	285	327	611	117	291	32	8	264	71	-10	+0	-1	+5	+6	0.1
2036	30	MLB CTX	TOR	53%	267	240	48	8	1	5	22	86	3	2	1	200	275	304	580	104	290	32	8	262	69	-10	+0	-1	+5	+6	-0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2388	2150	445	75	12	48	189	758	32	21	9	207	281	320	601	113	293	32	8	264	68	-84	+1	-2	+43	+52	0.9
/ 162G	—	A+C		—	650	585	120	20	3	13	51	206	9	6	2	205	279	316	595	111	291	32	8	264	68	-23	+0	-1	+12	+14	0.3
Career	—	MLE		—	4614	4151	845	145	23	91	361	1486	63	39	17	204	277	315	593	112	290	32	8	268	68	-159	+1	-4	+80	+97	1.6
/ 162G	—	MLE		—	650	585	119	20	3	13	51	209	9	5	2	203	278	315	592	111	290	32	8	268	68	-23	+0	-1	+12	+14	0.2

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Sandy 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
#2Ronny 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
#3J.P. Arencibialast yr '15 career totals — 5 seasons, 1,650 PA	2.5	1,650	78	2	213	260	414	+29	-4	4.2	4.2
/162	664	31	1	+11.9	-1.7	1.7	pk7: 4
#4Adam 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	3.7	2,478	50	22	207	277	321	+44	+24	2.6	2.6
/162	664	13	6	+11.9	+6.4	0.7	pk7: 2
#5Ryan 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
#6Alexi Amaristalast yr '17 career totals — 7 seasons, 1,901 PA	2.9	1,901	21	39	231	275	323	+14	-6	-1.1	-1.1
/162	664	7	14	+4.9	-2.1	-0.4	pk7: -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
Juan Rosas (OGILVIE)	20	—	—	—	—	185/254/267	82	284	1	1	35%	7%	50	-0.4	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Jhostynxon Garcia 2023 · A	20	38→41	41→50	48→50	45	182/267/286	104	281	8	8	35%	9%	59	-1.7	201/262/332	131	290	13	10	34%	6%	67	-1.1	219/271/366	148	290	19	9	30%	5%	75	-0.3
✕Rey Duran 2009 · A	20	36	41→50	49→40	41	183/243/277	94	256	9	6	31%	6%	47	-2.5	213/267/338	125	268	14	5	25%	6%	70	-0.8	210/263/349	139	246	19	2	23%	5%	69	-0.4
✕Luis Torrens 2016 · A	20	43→48	38→50	49→40	44	204/275/284	80	281	6	6	28%	7%	61	-1.5	210/273/293	83	267	6	4	22%	7%	62	-1.4	237/296/380	143	283	15	2	21%	6%	89	+0.2
✕Deivy Grullón 2016 · A	20	39→42	41→50	47→30	35	196/234/292	96	272	9	2	31%	4%	46	-2.6	218/254/334	116	297	13	2	30%	4%	63	-1.3	211/258/366	155	285	22	1	34%	6%	71	-0.4
✕Frank Rodriguez 2022 · A	20	40	36→45	48→30	43	191/262/259	68	272	4	4	30%	7%	50	-2.3	182/239/268	86	269	8	4	34%	5%	43	-2.8	183/244/267	84	244	9	1	28%	6%	43	-0.9
✕Daniel Santos 2019 · A	20	41	39→45	45→40	41	197/262/285	88	270	7	5	28%	6%	56	-1.9	200/262/282	82	300	5	6	33%	6%	55	-1.9	141/209/188	47	235	0	5	37%	5%	13	-0.9
✕Geoandry Montilla 2016 · A	20	44	41→45	48→50	41	213/265/307	95	298	8	7	30%	7%	61	-1.5	201/269/302	101	296	8	8	32%	8%	63	-1.4	174/253/276	102	257	8	9	33%	8%	49	-0.7
✕Jose Cordoba 2023 · A	20	38	42→40	44→55	39	190/253/289	99	277	10	9	34%	6%	54	-2.0	206/263/300	94	283	6	11	28%	6%	59	-1.6	204/262/298	94	272	5	15	25%	6%	56	-0.8
✕Yu Chang 2016 · A	20	40→44	42→50	45	38	202/251/306	105	274	10	6	30%	5%	56	-1.9	199/255/338	139	279	14	8	33%	6%	65	-1.2	212/267/370	158	271	20	6	29%	6%	76	-0.2
✕Deivi Mejia 2010 · A	20	40	41→40	46→30	41	197/265/294	97	276	9	5	30%	6%	59	-1.6	205/261/294	89	269	7	4	25%	6%	57	-1.8	224/268/311	87	267	6	1	18%	3%	64	-0.5
✕Braulio Vasquez 2019 · A	20	43	38→40	47→65	40	207/259/281	74	295	5	11	30%	6%	53	-2.1	191/260/268	77	304	6	15	36%	7%	51	-2.2	188/266/266	78	286	5	32	33%	7%	52	-0.9
✕Rodolfo Durán 2018 · A	20	43	41→50	46→45	39	210/252/306	96	282	8	6	28%	5%	56	-1.9	208/243/347	139	278	17	3	31%	4%	63	-1.4	225/268/375	150	277	17	3	25%	5%	76	-0.2
✕Jacob Nottingham 2015 · A	20	38→48	40→45	46→50	38	187/246/282	95	286	8	6	36%	6%	49	-2.4	215/265/320	105	302	10	6	31%	5%	65	-1.2	180/253/297	117	271	13	11	37%	6%	55	-1.0
✕Jorge Quiterio 2015 · A	20	36	40→45	46→45	39	183/234/269	86	255	8	8	31%	5%	41	-3.0	194/235/279	85	299	6	9	35%	5%	43	-2.8	177/200/259	83	273	6	12	37%	2%	24	-1.1
✕Ethan Workinger 2022 · A	20	38→43	40→45	50→45	37	182/243/275	92	287	7	6	37%	6%	47	-2.6	200/251/316	116	278	11	5	31%	6%	59	-1.7	199/256/318	119	244	14	9	24%	7%	58	-1.1
✕Rodolfo Castro 2019 · A	20	38→41	43→55	47→50	36	195/235/310	115	269	11	5	32%	5%	51	-2.3	198/239/343	145	274	17	6	33%	5%	61	-1.5	206/269/359	153	269	19	7	30%	7%	74	-0.4
✕Emilio Guerrero 2013 · A	20	38→42	37→45	47→45	37	184/233/259	75	278	4	7	34%	5%	38	-3.2	213/258/302	89	294	7	8	29%	5%	57	-1.8	218/255/332	114	290	9	5	28%	4%	61	-0.8
✕Yohan Matos 2016 · A	19	40	41→45	48→45	38	194/251/289	95	288	8	7	34%	6%	53	-2.1	197/259/275	78	321	4	8	37%	7%	52	-2.2	166/241/231	64	289	0	11	39%	8%	33	-0.8
✕Jose Ramos 2021 · A	20	43→41	38→50	48→45	41	206/270/283	78	285	5	9	28%	6%	59	-1.7	214/277/357	143	320	16	4	36%	7%	78	-0.3	203/271/348	146	303	18	4	37%	7%	72	-0.5
✕Alex Jackson 2016 · A	20	38→37	38→55	45→30	34	181/238/262	82	294	5	5	38%	5%	42	-2.9	193/251/322	129	292	14	3	37%	5%	61	-1.5	191/262/354	163	266	20	2	35%	6%	70	-0.3

Career Stats + Projections

Career Comps

Career Path Comps