Jonathan Peguero

Jonathan PegueroC FCL Blue Jays

Age 22 L/R 5'10" / 165 lbs ROK Svc 0.0 · Ctrl thru 2037

2026 FULL-SEASON PROJECTIONpark-neutral Marcel · 46 proj PA

wRC+†49

AVG/OBP/SLG.190 / .251 / .274

PA4

HR0

K%34

BB%7

ISO85

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit-$2M 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	—	—	—
2033	Pre-Arb	$1.0M	—	—	—
2034	Ext	beyond projection horizon · no WAR estimate
2035	Ext	beyond projection horizon · no WAR estimate
2036	Ext	beyond projection horizon · no WAR estimate
2037	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$-0.5M	+$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)
2021	17	ROK	DSL Blue Jays	—	112	94	25	4	0	2	16	19	2	3	2	266	384	372	756	106	315	17	14	349	123	+3	-0	—	—	+2	0.5
2022	18	ROK	FCL Blue Jays	—	54	49	9	1	0	0	5	24	0	1	0	184	259	204	463	20	360	44	9	222	37	-4	+0	—	—	+1	-0.3
2023	19	ROK	FCL Blue Jays	—	47	41	8	2	0	1	6	15	0	0	0	195	298	317	615	122	280	32	13	284	79	-1	+0	—	—	+1	-0.0
2024	20	ROK	FCL Blue Jays	—	56	50	9	2	0	1	4	16	1	0	0	180	255	280	535	100	235	29	7	243	51	-3	+0	—	—	+1	-0.2
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2021	17	ROK MLE	DSL Blue Jays	—	112	100	19	3	0	1	10	28	2	3	2	190	277	250	527	60	249	25	9	242	50	-7	-0	—	—	+2	-0.5
2022	18	ROK MLE	FCL Blue Jays	—	54	51	5	1	0	0	3	34	0	1	0	98	148	118	266	20	298	63	6	125	-29	-8	+0	—	—	+1	-0.7
2023	19	ROK MLE	FCL Blue Jays	—	47	43	6	1	0	1	4	21	0	0	0	140	213	233	445	93	225	45	9	181	9	-5	+0	—	—	+1	-0.4
2024	20	ROK MLE	FCL Blue Jays	—	56	52	6	1	0	1	2	23	1	0	0	115	164	192	356	77	183	41	4	163	-4	-7	+0	—	—	+1	-0.6
2021	17	ROK MLE	DSL Blue Jays	—	112	100	19	3	0	1	10	28	2	3	2	190	277	250	527	60	254	25	9	242	50	—	—	—	—	—	—
2021	17	ROK RAW	DSL Blue Jays	—	112	94	25	4	0	2	16	19	2	3	2	266	384	372	756	106	315	17	14	349	50	—	—	—	—	—	—
2022	18	ROK MLE	FCL Blue Jays	—	54	51	5	1	0	0	3	34	0	1	0	98	148	118	266	20	294	63	6	125	-29	—	—	—	—	—	—
2022	18	ROK RAW	FCL Blue Jays	—	54	49	9	1	0	0	5	24	0	1	0	184	259	204	463	20	360	44	9	222	-29	—	—	—	—	—	—
2023	19	ROK MLE	FCL Blue Jays	—	47	43	6	1	0	1	4	21	0	0	0	140	213	233	445	93	238	45	9	181	9	—	—	—	—	—	—
2023	19	ROK RAW	FCL Blue Jays	—	47	41	8	2	0	1	6	15	0	0	0	195	298	317	615	122	280	32	13	284	9	—	—	—	—	—	—
2024	20	ROK MLE	FCL Blue Jays	—	56	52	6	1	0	1	2	23	1	0	0	115	164	192	356	77	172	41	4	163	-4	—	—	—	—	—	—
2024	20	ROK RAW	FCL Blue Jays	—	56	50	9	2	0	1	4	16	1	0	0	180	255	280	535	100	235	29	7	243	-4	—	—	—	—	—	—
2021	17	ROK MLE	DSL Blue Jays	—	112	99	19	3	0	1	10	28	2	3	2	192	277	253	529	61	249	25	9	242	50	—	—	—	—	—	—
2022	18	ROK MLE	FCL Blue Jays	—	54	51	5	1	0	0	3	34	0	1	0	98	148	118	266	20	298	63	6	125	-29	—	—	—	—	—	—
2023	19	ROK MLE	FCL Blue Jays	—	47	43	6	1	0	1	4	21	0	0	0	140	213	233	445	93	225	45	9	181	9	—	—	—	—	—	—
2024	20	ROK MLE	FCL Blue Jays	—	56	53	6	1	0	1	2	23	1	0	0	113	164	189	352	75	183	41	4	163	-4	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	19	ROK MLE	FCL Blue Jays	—	47	43	6	1	0	1	4	21	0	0	0	140	213	233	445	93	225	45	9	181	9	—	—	—	—	—	—
2024	20	ROK MLE	FCL Blue Jays	—	56	53	6	1	0	1	2	23	1	0	0	113	164	189	352	75	183	41	4	163	-4	—	—	—	—	—	—
▸ 2026 season
2026	22	MLB MLE	TOR	0%	4	4	1	0	0	0	0	1	0	0	0	250	250	250	500		288	25	0	241	49	-0	+0	+0	+0	+0	-0.1
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	23	MLB MLE	TOR	34%	106	97	21	4	1	2	7	35	1	1	0	216	276	340	616	124	290	33	7	252	57	-5	+0	+0	+2	+2	-0.1
2028	24	MLB MLE	TOR	46%	236	215	44	8	1	4	17	76	2	2	1	205	269	307	576	102	291	32	7	260	62	-11	+0	+0	+4	+5	-0.1
2029	25	MLB MLE	TOR	52%	322	293	61	11	2	6	23	102	3	3	1	208	273	321	594	113	291	32	7	265	65	-13	+0	+0	+6	+7	-0.0
2030	26	MLB MLE	TOR	54%	379	346	72	13	2	7	27	119	3	3	1	208	271	318	589	110	291	31	7	267	67	-15	+0	+0	+7	+8	0.0
2031	27	MLB MLE	TOR	54%	410	373	77	14	2	8	30	129	4	3	1	206	273	319	592	113	291	31	7	267	67	-16	+0	+0	+7	+9	0.0
2032	28	MLB MLE	TOR	54%	425	387	80	15	2	8	31	134	4	3	1	207	273	318	590	111	290	32	7	266	66	-17	+0	-1	+8	+9	-0.1
2033	29	MLB MLE	TOR	53%	427	388	79	14	2	8	32	135	4	3	1	204	271	312	583	108	289	32	7	264	65	-18	+0	-1	+8	+9	-0.2
2027	23	MLB CTX	TOR	34%	36	34	7	1	0	1	2	12	0	0	0	206	250	324	574	118	291	33	6	247	57	-2	+0	+0	+1	+1	-0.0
2028	24	MLB CTX	TOR	46%	109	99	21	4	1	2	8	35	1	1	0	212	278	333	611	121	292	32	7	254	62	-5	+0	+0	+2	+2	-0.0
2029	25	MLB CTX	TOR	52%	166	151	32	6	1	3	12	52	2	1	1	212	279	325	603	113	292	31	7	259	65	-7	-0	+0	+3	+4	-0.1
2030	26	MLB CTX	TOR	54%	205	186	39	7	1	4	15	64	2	2	1	210	276	323	598	113	292	31	7	261	67	-8	+0	+0	+4	+4	-0.0
2031	27	MLB CTX	TOR	54%	222	202	42	8	1	4	16	70	2	2	1	208	273	317	590	109	292	32	7	261	67	-9	+0	+0	+4	+5	-0.0
2032	28	MLB CTX	TOR	54%	231	210	43	8	1	4	17	73	2	2	1	205	271	310	580	105	291	32	7	260	66	-9	+0	-0	+4	+5	-0.1
2033	29	MLB CTX	TOR	53%	227	206	43	8	1	4	17	72	2	2	1	209	276	316	591	107	290	32	7	258	65	-10	+0	-1	+4	+5	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1196	1088	227	42	6	22	87	378	11	10	5	209	274	319	593	110	295	32	7	259	60	-49	+0	-1	+21	+26	-0.3
/ 162G	—	A+C		—	650	591	123	23	3	12	47	205	6	5	3	208	273	318	591	110	294	32	7	259	60	-27	+0	-1	+12	+14	-0.2
Career	—	MLE		—	2578	2349	471	85	12	46	186	837	24	22	8	201	266	306	572	105	287	32	7	257	60	-96	+1	-2	+41	+50	-0.6
/ 162G	—	MLE		—	650	592	119	21	3	12	47	211	6	6	2	201	267	307	574	106	288	32	7	257	60	-27	+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
#3John McDonaldlast yr '14 career totals — 13 seasons, 2,596 PA	3.9	2,596	28	34	233	273	324	+20	+54	4.2	5.1
/162	664	7	9	+5.0	+13.9	1.1	pk7: 6
#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
#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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 4 projected seasons	1.9	1,243	22	10	206	268	314	+22	+16	0.5	0.5
/162	664	12	5	+11.9	+8.5	0.2	pk7: 1
#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
Jonathan Peguero (OGILVIE)	22	—	—	—	—	190/251/274	84	288	1	0	34%	7%	49	-0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Andy Yerzy 2021 · A	23	35	38→50	49→40	35	174/226/251	77	275	5	7	37%	5%	34	-3.5	188/272/333	145	263	18	6	34%	9%	72	-0.7	166/252/300	134	233	18	4	36%	9%	55	-1.0
✕Arturo De Freitas 2023 · A	22	35	39→45	45→40	34	174/222/255	81	277	7	4	39%	5%	34	-3.5	184/241/265	81	306	8	5	40%	6%	44	-2.8	141/191/216	75	260	9	0	47%	5%	11	-1.0
✕Cody Morissette 2022 · A	22	41→30	39→45	43→55	44	195/263/281	86	285	6	5	32%	8%	55	-1.9	186/242/306	120	251	14	7	31%	6%	53	-2.1	182/237/299	117	239	14	19	29%	6%	48	-1.4
✕Michael Pérez 2016 · A	23	35	41→50	42→40	42	178/243/275	96	258	9	4	33%	7%	47	-2.6	210/262/307	97	279	8	3	26%	6%	61	-1.5	222/282/338	116	285	12	0	25%	7%	74	-0.3
✕Alan Rick 2006 · A	22	37	39→45	46→30	41	183/241/270	87	267	6	4	33%	7%	44	-2.8	201/262/318	117	295	12	3	34%	7%	63	-1.3	193/258/318	125	280	14	1	35%	7%	62	-0.6
✕Aaron Bracho 2023 · A	22	29→37	42→45	44→40	37	157/224/253	96	253	10	4	40%	7%	35	-3.4	193/255/314	121	256	14	5	30%	7%	61	-1.5	189/251/313	124	237	16	4	27%	7%	57	-1.0
✕Randy Florentino 2022 · A	22	34	40→50	43→45	40	169/236/252	83	270	8	6	38%	8%	38	-3.2	193/247/280	87	268	9	6	30%	6%	49	-2.4	188/237/266	78	247	8	4	27%	6%	40	-0.9
✕Carlos Soto 2021 · A	22	42	41→45	47→30	41	206/265/302	97	288	9	5	31%	6%	61	-1.5	192/273/307	115	278	10	3	32%	9%	65	-1.2	166/257/283	116	237	11	0	32%	10%	53	-0.9
✕Jared Walker 2017 · A	21	37→32	40→55	44→45	37	178/239/268	89	302	8	7	41%	7%	44	-2.8	188/258/344	156	307	19	5	42%	7%	70	-0.9	173/255/337	164	274	21	5	42%	7%	64	-0.8
✕Logan Moore 2013 · A	22	39	39→40	44→30	40	188/253/270	81	281	6	5	34%	7%	49	-2.4	186/239/265	79	261	5	3	29%	6%	42	-2.9	191/238/275	84	266	9	0	30%	6%	42	-1.1
✕Grayson Greiner 2016 · A	23	37	38→45	46→30	37	181/234/253	73	279	6	3	36%	6%	38	-3.2	211/265/312	101	293	9	3	29%	6%	63	-1.4	217/276/324	107	289	10	0	27%	7%	67	-0.6
✕Chris Newell 2023 · A	22	43→39	40→50	45→55	36	206/255/302	96	310	7	10	35%	5%	57	-1.8	196/273/359	163	314	21	17	41%	9%	78	-0.3	180/261/338	158	280	21	20	41%	9%	67	-0.8
✕Steven Baron 2012 · A	21	34	39→45	45→50	36	172/216/255	83	252	7	7	34%	5%	31	-3.7	189/226/284	95	266	6	9	30%	4%	41	-3.0	237/293/310	73	315	4	8	24%	7%	69	-0.4
✕Juan Zabala 2021 · A	22	40	39→40	48→50	37	189/252/274	85	300	6	6	37%	6%	50	-2.3	212/274/306	94	301	9	13	30%	7%	65	-1.2	206/268/289	83	286	8	16	29%	7%	56	-0.8
✕Claudio Finol 2022 · A	22	40	38→40	46→45	40	194/253/278	85	271	5	6	29%	6%	51	-2.3	196/253/280	84	275	6	9	29%	6%	51	-2.2	192/260/271	78	271	9	12	31%	7%	51	-0.6
✕Andry Arias 2022 · A	22	38	42→40	44→40	39	190/256/295	105	287	10	7	36%	7%	57	-1.8	195/259/290	95	306	7	6	36%	7%	56	-1.9	160/231/251	91	256	7	3	38%	8%	34	-1.2
✕Rubel Cespedes 2022 · A	21	34→44	39→45	49→40	36	170/224/255	85	264	7	6	37%	6%	34	-3.5	213/264/317	104	303	10	4	31%	6%	64	-1.3	217/269/325	108	297	11	3	29%	6%	64	-0.9
✕Steven Lerud 2008 · A	23	37→42	42→45	43→40	37	185/249/288	103	277	9	4	35%	6%	53	-2.1	207/272/311	104	281	10	4	28%	6%	65	-1.2	201/292/278	77	290	6	2	29%	9%	64	-0.4
✕Glenn Santiago 2023 · A	22	41	41→40	46→45	39	201/255/297	96	286	8	8	32%	6%	55	-1.9	198/263/285	87	291	7	9	32%	7%	57	-1.8	182/254/257	75	267	7	8	32%	8%	46	-1.1
✕Jacob Wetzel 2022 · A	22	42→34	42→45	49→50	42	203/278/304	101	310	11	8	36%	8%	67	-1.1	191/267/299	108	279	10	12	33%	8%	62	-1.4	178/259/293	115	256	10	14	32%	9%	55	-1.1

Career Stats + Projections

Career Comps

Career Path Comps