Francisco Toledo

Francisco ToledoC St. Lucie Mets

Age 21 R/R 5'9" / 160 lbs A H -5% Svc 0.0 · Ctrl thru 2036

2026 ROS PROJECTION118 act + 12 ros · stats below = ROS only

showingROS

wRC+†52

AVG/OBP/SLG.091 / .167 / .091

PA12

HR0

K%33

BB%8

BABIP256

ISO89

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$2M ctrl surplus

Tools · ContractCON 38 / POW 38

Toolsscout grade

CONTACT38

scouting grade only

POWER38

scouting grade only

EYE53

scouting grade only

SPEED50

scouting grade only

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	+0.1	$0.2M	+$0.0M (cut)
2034	Arb-1	$0.6M	—	—	—
2035	Ext	beyond projection horizon · no WAR estimate
2036	Ext	beyond projection horizon · no WAR estimate
Totals		$2M		$1M	+$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)
2022	17	ROK	DSL Mets 2	—	46	41	12	1	1	1	4	7	1	4	1	293	370	439	809	146	333	15	9	362	131	+2	+0	—	—	+1	0.3
2024	19	ROK	FCL Mets	—	104	89	20	1	0	0	14	22	1	1	0	225	337	236	572	11	299	21	13	279	75	-3	+0	—	—	+2	-0.1
2025	20	ROK	FCL Mets	—	80	68	15	3	0	0	12	13	0	0	1	221	338	265	602	44	273	16	15	289	81	-2	-0	—	—	+2	-0.0
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2022	17	ROK MLE	DSL Mets 2	—	46	43	10	1	1	1	2	10	1	4	1	233	283	372	655	140	266	22	4	259	61	-2	+0	—	—	+1	-0.1
2024	19	ROK MLE	FCL Mets	—	104	95	17	1	0	0	8	33	1	1	0	179	250	189	439	11	261	32	8	200	22	-10	+0	—	—	+2	-0.7
2025	20	ROK MLE	FCL Mets	—	80	72	11	2	0	0	8	19	0	0	1	153	237	181	418	28	212	24	10	200	22	-7	-0	—	—	+2	-0.6
2022	17	ROK MLE	DSL Mets 2	—	46	43	10	1	1	1	2	10	1	4	1	233	283	372	655	140	281	22	4	259	61	—	—	—	—	—	—
2022	17	ROK RAW	DSL Mets 2	—	46	41	12	1	1	1	4	7	1	4	1	293	370	439	809	146	333	15	9	362	61	—	—	—	—	—	—
2024	19	ROK MLE	FCL Mets	—	104	95	17	1	0	0	8	33	1	1	0	179	250	189	439	11	274	32	8	200	22	—	—	—	—	—	—
2024	19	ROK RAW	FCL Mets	—	104	89	20	1	0	0	14	22	1	1	0	225	337	236	572	11	299	21	13	279	22	—	—	—	—	—	—
2025	20	ROK MLE	FCL Mets	—	80	72	11	2	0	0	8	19	0	0	1	153	237	181	418	28	208	24	10	200	22	—	—	—	—	—	—
2025	20	ROK RAW	FCL Mets	—	80	68	15	3	0	0	12	13	0	0	1	221	338	265	602	44	273	16	15	289	22	—	—	—	—	—	—
2022	17	ROK MLE	DSL Mets 2	—	46	43	10	1	1	1	2	10	1	4	1	233	283	372	655	140	266	22	4	259	61	—	—	—	—	—	—
2024	19	ROK MLE	FCL Mets	—	104	94	17	1	0	0	8	33	1	1	0	181	250	191	441	11	261	32	8	200	22	—	—	—	—	—	—
2025	20	ROK MLE	FCL Mets	—	80	72	11	2	0	0	8	19	0	0	1	153	237	181	418	28	212	24	10	200	22	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2024	19	ROK MLE	FCL Mets	—	104	94	17	1	0	0	8	33	1	1	0	181	250	191	441	11	261	32	8	200	22	—	—	—	—	—	—
2025	20	ROK MLE	FCL Mets	—	80	72	11	2	0	0	8	19	0	0	1	153	237	181	418	28	212	24	10	200	22	—	—	—	—	—	—
YTD	21	A MLE	NYM	—	118	108	16	3	0	2	8	41	2	3	2	148	220	231	452	83	215	35	7	212	30	-10	-0	+0	+2	+3	-0.6
▸ 2026 season
YTD	21	A RAW	NYM	—	118	106	20	4	0	3	10	29	2	3	2	189	271	311	583	123	230	25	8	268	30	—	—	—	—	—	—
ROS	21	A MLE	NYM	0%	12	11	1	0	0	0	1	4	0	0	0	91	167	91	258		263	33	8	244	52	-1	+0	+0	+0	+0	-0.0
TOT	21	A MLE	NYM	—	130	119	17	3	0	2	9	45	2	3	2	143	215	218	434	76	208	35	7	215	32	-11	-0	+0	+2	+3	-0.6
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	22	MLB MLE	NYM	34%	213	193	39	7	1	4	16	62	2	3	1	202	270	311	581	109	269	29	8	257	60	-10	+0	+0	+4	+5	-0.1
2028	23	MLB MLE	NYM	48%	323	292	59	11	1	6	24	92	4	4	2	202	272	308	580	106	271	28	7	265	65	-13	+0	+0	+6	+7	-0.1
2029	24	MLB MLE	NYM	53%	399	362	75	14	2	8	30	112	4	5	2	207	275	323	598	116	273	28	8	270	69	-15	+0	+0	+7	+9	0.1
2030	25	MLB MLE	NYM	55%	442	400	83	15	2	9	34	123	5	6	2	207	278	323	600	115	274	28	8	272	70	-16	+0	+0	+8	+10	0.2
2031	26	MLB MLE	NYM	56%	468	424	88	16	2	10	36	131	5	6	2	208	277	325	603	118	273	28	8	272	70	-17	+0	+0	+8	+10	0.2
2032	27	MLB MLE	NYM	55%	479	434	90	16	2	10	37	134	5	7	3	207	277	323	600	115	273	28	8	272	70	-17	+0	+0	+9	+10	0.2
2033	28	MLB MLE	NYM	55%	481	435	90	16	2	10	38	135	5	6	2	207	278	322	600	115	273	28	8	271	70	-17	+0	-1	+9	+10	0.1
2034	29	MLB MLE	NYM	53%	476	430	88	16	2	9	38	135	5	6	2	205	277	314	591	109	272	28	8	269	68	-18	+0	-1	+8	+10	-0.0
2027	22	MLB CTX	NYM	34%	73	67	12	2	0	1	5	21	1	1	0	179	247	254	500	75	261	29	7	245	60	-3	+0	+0	+1	+2	-0.0
2028	23	MLB CTX	NYM	48%	157	142	29	5	1	3	12	45	2	2	1	204	276	317	593	113	264	29	8	252	65	-6	+0	+0	+3	+3	-0.0
2029	24	MLB CTX	NYM	53%	210	190	38	7	1	4	16	59	2	3	1	200	269	311	580	111	266	28	8	257	69	-8	+0	+0	+4	+5	0.1
2030	25	MLB CTX	NYM	55%	242	219	44	8	1	5	18	68	3	3	1	201	271	315	586	114	266	28	7	259	70	-9	+0	+0	+4	+5	0.1
2031	26	MLB CTX	NYM	56%	260	235	48	9	1	5	20	73	3	4	1	204	275	315	590	111	266	28	8	259	70	-9	+0	+0	+5	+6	0.2
2032	27	MLB CTX	NYM	55%	263	238	48	9	1	5	20	74	3	4	1	202	272	311	583	109	266	28	8	259	70	-9	+0	+0	+5	+6	0.2
2033	28	MLB CTX	NYM	55%	263	237	48	9	1	5	21	74	3	3	1	203	276	312	588	110	265	28	8	258	70	-9	+0	-0	+5	+6	0.1
2034	29	MLB CTX	NYM	53%	254	229	46	8	1	5	20	72	3	3	1	201	274	310	584	109	265	28	8	257	68	-10	+0	-1	+5	+6	-0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1722	1557	313	57	7	33	132	486	20	23	7	201	272	310	582	109	268	28	8	257	66	-64	+2	-1	+31	+37	0.5
/ 162G	—	A+C		—	650	588	119	22	3	12	50	183	8	9	3	202	274	311	586	109	270	28	8	257	66	-24	+1	-0	+12	+14	0.2
Career	—	MLE		—	3523	3191	651	115	15	67	272	990	37	48	18	204	274	312	587	108	272	28	8	266	66	-123	+2	-2	+59	+71	0.7
/ 162G	—	MLE		—	650	589	120	21	3	12	50	183	7	9	3	204	274	311	585	107	272	28	8	266	66	-24	+0	-0	+12	+14	0.1

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
#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 5 projected seasons	2.7	1,822	36	24	207	274	319	+33	+20	1.6	1.6
/162	664	13	9	+11.9	+7.3	0.6	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
Francisco Toledo (OGILVIE)	21	33→38	33→38	45→50	53	188/255/274	87	263	1	2	30%	7%	52	-0.4	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕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
✕Luis Palacios 2010 · A	21	39	39→40	46→50	36	192/235/276	84	265	7	5	30%	4%	43	-2.8	192/239/270	78	302	5	7	36%	5%	43	-2.8	140/190/175	36	236	0	6	38%	6%	0	-1.0
✕Victor Duarte 2022 · A	21	39	38→30	48→45	42	188/251/270	82	260	6	7	29%	6%	49	-2.4	199/275/282	83	287	6	6	30%	8%	61	-1.5	182/254/249	67	248	6	11	27%	8%	43	-0.7
✕Cutter Dykstra 2010 · A	21	40→50	40	47→55	43	198/260/282	84	275	8	11	30%	7%	54	-2.0	222/279/297	75	309	6	16	28%	6%	65	-1.2	239/307/326	86	317	6	16	24%	8%	79	-0.1
✕Yeldrys Molina 2009 · A	20	43	38→40	48→50	44	206/265/287	82	281	4	9	27%	7%	57	-1.8	194/252/272	78	285	4	8	31%	7%	49	-2.4	139/198/200	60	203	0	9	29%	6%	11	-1.2
✕Steven Baron 2013 · A	22	39	41→45	50	37	193/231/293	99	262	8	10	29%	4%	45	-2.7	197/236/286	89	278	6	9	30%	5%	45	-2.7	237/293/310	73	315	4	8	24%	7%	69	-0.4
✕Arquímedes Gamboa 2019 · A	21	41→45	37→40	48→50	44	198/260/271	72	274	5	7	28%	7%	51	-2.2	184/259/260	76	272	5	14	31%	9%	49	-2.4	199/285/288	89	292	7	15	31%	10%	63	-0.8
✕Franklin Tineo 2017 · A	22	36	38→45	46→50	45	179/245/253	75	239	5	10	26%	7%	42	-2.9	198/277/298	100	282	8	10	30%	8%	65	-1.2	201/298/325	124	262	10	12	25%	10%	77	-0.1
✕Michael Bolaski 2013 · A	21	42	40→45	49→40	39	204/256/297	93	288	7	5	31%	6%	56	-1.9	200/260/288	88	284	8	4	30%	7%	56	-1.9	173/241/246	73	241	7	1	30%	8%	38	-1.7
✕James Harris 2015 · A	21	39→49	41→40	48→50	39	196/247/289	93	281	9	12	33%	6%	51	-2.3	222/283/313	91	316	7	13	30%	7%	70	-0.9	231/296/319	89	325	6	15	29%	8%	73	-0.5
✕Willy Diaz 2015 · A	21	36	36→40	45→40	46	170/263/235	65	253	4	5	32%	9%	47	-2.6	187/263/267	80	309	5	4	37%	8%	53	-2.1	184/258/270	86	308	5	2	39%	8%	49	-0.9
✕Kyle Nevin 2023 · A	21	41→38	40	52→50	39	198/250/294	96	274	6	10	29%	5%	53	-2.1	216/274/318	102	332	9	10	35%	7%	68	-1.0	210/271/306	96	328	9	12	36%	7%	61	-0.9
✕Rafael Morel 2022 · A	20	38	40	51→50	39	187/249/281	94	269	8	13	32%	6%	51	-2.3	196/261/274	78	315	7	10	37%	7%	53	-2.1	188/258/263	75	295	9	10	37%	7%	47	-1.2
✕Marco Guzman 2015 · A	20	41	39→45	44→50	48	196/264/281	85	246	6	7	22%	8%	56	-1.9	216/262/303	87	264	5	7	19%	6%	59	-1.7	224/262/324	100	290	5	8	24%	5%	62	-0.5
✕Oliver Dominguez 2010 · A	21	41	40	53→45	45	201/262/294	93	269	7	12	27%	7%	57	-1.8	201/272/295	94	275	7	13	27%	9%	62	-1.4	190/268/285	94	265	7	12	29%	9%	55	-0.9
✕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
✕Rafael Medina 2013 · A	21	41	37→40	46→45	46	199/263/269	70	260	5	5	25%	7%	52	-2.2	207/257/285	78	249	6	4	18%	6%	53	-2.1	200/246/270	70	227	6	2	14%	5%	45	-0.7
✕Grolmann Gonzalez 2010 · A	21	40	38→40	52→55	42	193/255/277	85	272	4	9	29%	7%	51	-2.2	209/265/303	94	303	6	7	31%	6%	61	-1.5	218/266/319	101	307	7	4	30%	6%	63	-0.3
✕Jose Meza 2023 · A	20	41→40	41→45	48→50	41	200/267/299	99	282	9	10	31%	6%	61	-1.5	203/296/305	102	299	9	8	32%	10%	74	-0.5	186/292/283	98	277	9	10	33%	11%	67	-0.7
✕Janelfry Zorrilla 2011 · A	20	41	40→45	50	42	202/257/291	89	262	7	13	26%	6%	55	-2.0	224/279/352	128	280	13	10	24%	6%	78	-0.3	225/276/353	127	282	14	8	25%	5%	75	-0.2

Career Stats + Projections

Career Comps

Career Path Comps