Chris Suero — OGILVIE

Chris SueroC Binghamton Rumble Ponies

Age 22 R/R 5'11" / 205 lbs AA H -5% Svc 0.0 · Ctrl thru 2032

2026 ROS PROJECTION499 act + 10 ros · stats below = ROS only

showingROS

wRC+†67

AVG/OBP/SLG.111 / .200 / .111

PA10

HR0

K%30

BB%10

BABIP230

ISO122

MLB%2%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control+$18M ctrl surplus

Tools · ContractCON 36 / POW 51

Toolsscout grade

CONTACT36

scouting grade only

POWER51

scouting grade only

EYE47

scouting grade only

SPEED58

scouting grade only

DEFENSE44

scouting grade only

Contract ESTIMATED · service-time + WAR-based estimator (needs verification)

Status MiLB

MLB Debut 2027

Service 0 yrs (est)

Team Control Through 2032

First FA Year 2033

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2027
2027	Pre-Arb	$0.8M	+0.3	$1M	+$0.4M
2028	Pre-Arb	$0.8M	+0.6	$2M	+$1M
2029	Pre-Arb	$0.8M	+0.9	$3M	+$2M
2030	Arb-1	$3M	+1.0	$6M	+$4M
2031	Arb-2	$6M	+1.0	$5M	+$2M
2032	Arb-3	$8M	+0.9	$2M	+$0.0M (cut)
Totals		$12M		$20M	+$10M

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	18	ROK	DSL Mets 1	—	127	98	20	7	0	1	25	29	4	4	2	204	386	306	692	102	279	23	20	333	112	+2	+0	—	—	+3	0.5
2023	19	ROK	FCL Mets	—	83	64	18	1	1	3	14	18	3	3	0	281	432	469	901	188	333	22	17	396	154	+5	+1	—	—	+2	0.8
2024	20	A+	Brooklyn Cyclones	—	357	294	67	11	2	7	52	82	7	15	6	228	357	350	707	122	287	23	15	325	106	+2	+1	—	—	+8	1.1
2024	20	A	St. Lucie Mets	—	100	83	22	6	1	2	10	19	7	5	5	265	390	434	824	169	323	19	10	374	139	+5	-1	—	—	+2	0.6
2025	21	AA	Binghamton Rumble Ponies	—	174	136	30	5	0	3	29	53	6	10	1	221	380	324	704	103	325	30	17	329	109	+2	+2	—	—	+4	0.7
2025	21	A+	Brooklyn Cyclones	—	301	242	58	11	1	13	41	86	16	25	7	240	385	455	839	215	310	29	14	375	140	+14	+2	—	—	+7	2.4
2025	21	INTL	Scottsdale Scorpions	—	68	60	17	2	0	5	7	18	0	8	0	283	358	567	925	283	316	26	10	396	154	+4	+2	—	—	+1	0.8
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2022	18	ROK MLE	DSL Mets 1	—	127	107	15	5	0	1	16	41	4	4	2	140	276	215	491	75	209	32	13	225	38	-9	+0	—	—	+3	-0.7
2023	19	ROK MLE	FCL Mets	—	83	69	14	1	1	2	9	27	3	3	0	203	321	333	654	130	252	33	11	279	75	-2	+1	—	—	+2	-0.0
2024	20	A+ MLE	Brooklyn Cyclones	—	357	311	53	8	2	4	35	111	7	15	6	170	269	248	517	77	237	31	10	237	47	-23	+1	—	—	+8	-1.5
2024	20	A MLE	St. Lucie Mets	—	100	86	19	5	1	2	7	27	7	5	5	221	330	372	702	151	296	27	7	308	95	-1	-1	—	—	+2	0.1
2025	21	AA MLE	Binghamton Rumble Ponies	—	174	145	28	5	0	2	20	64	6	10	1	193	316	269	585	76	298	37	11	273	71	-6	+2	—	—	+4	-0.1
2025	21	A+ MLE	Brooklyn Cyclones	—	301	257	48	9	1	9	26	114	16	25	7	187	301	335	636	148	270	38	9	279	75	-9	+2	—	—	+7	-0.0
2022	18	ROK MLE	DSL Mets 1	—	127	107	15	5	0	1	16	41	4	4	2	140	276	215	491	75	215	32	13	225	38	—	—	—	—	—	—
2022	18	ROK RAW	DSL Mets 1	—	127	98	20	7	0	1	25	29	4	4	2	204	386	306	692	102	279	23	20	333	38	—	—	—	—	—	—
2023	19	ROK MLE	FCL Mets	—	83	69	14	1	1	2	9	27	3	3	0	203	321	333	654	130	286	33	11	279	75	—	—	—	—	—	—
2023	19	ROK RAW	FCL Mets	—	83	64	18	1	1	3	14	18	3	3	0	281	432	469	901	188	333	22	17	396	75	—	—	—	—	—	—
2024	20	A+ MLE	2 teams	—	457	396	71	14	2	6	43	139	14	20	11	179	283	270	553	91	255	30	9	253	57	—	—	—	—	—	—
2024	20	A+ RAW	2 teams	—	457	377	89	17	3	9	62	101	14	20	11	236	364	369	733	133	295	22	14	335	57	—	—	—	—	—	—
2025	21	A+ MLE	3 teams	—	543	462	87	15	1	14	53	203	22	43	8	188	302	316	618	128	291	37	10	277	73	—	—	—	—	—	—
2025	21	A+ RAW	3 teams	—	543	438	105	18	1	21	77	157	22	43	8	240	380	429	809	189	316	29	14	363	73	—	—	—	—	—	—
2022	18	ROK MLE	DSL Mets 1	—	127	106	15	5	0	1	16	41	4	4	2	142	276	217	493	75	209	32	13	225	38	—	—	—	—	—	—
2023	19	ROK MLE	FCL Mets	—	83	71	14	1	1	2	9	27	3	3	0	197	321	324	645	127	252	33	11	279	75	—	—	—	—	—	—
2024	20	A+ MLE	2 teams	—	457	397	71	14	2	6	43	139	14	20	11	179	283	270	552	91	250	30	9	253	57	—	—	—	—	—	—
2025	21	A+ MLE	3 teams	—	543	463	87	15	1	14	53	203	22	43	8	188	302	315	617	127	280	37	10	277	73	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	19	ROK MLE	FCL Mets	—	83	71	14	1	1	2	9	27	3	3	0	197	321	324	645	127	252	33	11	279	75	—	—	—	—	—	—
2024	20	A+ MLE	2 teams	—	457	397	71	14	2	6	43	139	14	20	11	179	283	270	552	91	250	30	9	253	57	—	—	—	—	—	—
2025	21	A+ MLE	3 teams	—	543	463	87	15	1	14	53	203	22	43	8	188	302	315	617	127	280	37	10	277	73	—	—	—	—	—	—
YTD	22	AA MLE	NYM	—	499	428	71	17	2	14	55	177	12	37	9	166	279	313	592	147	237	35	11	266	66	-20	+4	+0	+9	+11	0.4
▸ 2026 season
YTD	22	AA RAW	NYM	—	499	403	81	20	2	18	80	145	12	37	9	201	349	395	744	194	258	29	16	337	66	—	—	—	—	—	—
ROS	22	AA MLE	NYM	2%	10	9	1	0	0	0	1	3	0	1	0	111	200	111	311		236	30	10	268	67	-0	+0	+0	+0	+0	0.0
TOT	22	AA MLE	NYM	—	509	437	72	17	2	14	56	180	12	38	9	165	277	309	586	144	235	35	11	266	66	-20	+4	+0	+9	+11	0.4
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	23	MLB MLE	NYM	44%	520	449	81	17	2	15	55	171	11	26	7	180	285	327	613	147	245	33	11	277	74	-16	+2	+0	+9	+11	0.7
2028	24	MLB MLE	NYM	58%	520	449	84	17	2	16	55	166	11	26	7	187	291	341	632	154	250	32	11	286	80	-13	+2	+0	+9	+11	1.1
2029	25	MLB MLE	NYM	65%	520	449	86	18	2	16	55	162	11	26	7	192	295	347	643	156	253	31	11	291	83	-11	+2	+0	+9	+11	1.3
2030	26	MLB MLE	NYM	68%	520	449	87	18	2	16	55	161	11	26	7	194	297	350	647	156	254	31	11	293	84	-10	+2	+0	+9	+11	1.4
2031	27	MLB MLE	NYM	68%	520	448	86	18	2	16	56	161	11	26	7	192	297	348	645	156	254	31	11	293	84	-10	+2	+0	+9	+11	1.4
2032	28	MLB MLE	NYM	68%	520	448	86	18	2	16	56	162	11	25	6	192	297	348	645	156	253	31	11	292	84	-10	+3	-1	+9	+11	1.3
2033	29	MLB MLE	NYM	72%	520	449	85	17	2	16	56	163	10	23	6	189	293	343	636	154	252	31	11	290	83	-11	+2	-1	+9	+11	1.1
2034	30	MLB MLE	NYM	75%	520	448	85	17	2	16	57	164	10	21	5	190	295	344	639	154	250	32	11	287	81	-12	+2	-2	+9	+11	0.9
2035	31	MLB MLE	NYM	78%	504	434	79	16	1	15	55	161	10	17	4	182	289	327	616	145	248	32	11	283	78	-13	+2	-3	+9	+11	0.6
2036	32	MLB MLE	NYM	79%	489	423	75	15	1	14	53	158	10	14	4	177	284	317	601	139	244	32	11	278	74	-15	+1	-3	+9	+11	0.2
2037	33	MLB MLE	NYM	80%	473	410	71	14	1	13	51	155	9	11	3	173	279	307	586	134	239	33	11	271	70	-17	+1	-4	+8	+10	-0.1
2027	23	MLB CTX	NYM	44%	229	198	34	7	1	6	24	75	5	11	3	172	278	308	586	136	238	33	10	258	74	-7	+1	+0	+4	+5	0.3
2028	24	MLB CTX	NYM	58%	303	262	48	10	1	9	32	96	6	15	4	183	287	332	619	149	244	32	11	267	80	-7	+1	+0	+5	+7	0.6
2029	25	MLB CTX	NYM	65%	338	292	55	11	1	11	36	105	7	17	4	188	293	346	638	158	246	31	11	272	83	-7	+2	+0	+6	+7	0.9
2030	26	MLB CTX	NYM	68%	354	306	58	12	1	11	38	110	7	18	4	190	293	343	637	154	247	31	11	274	84	-7	+2	+0	+6	+8	1.0
2031	27	MLB CTX	NYM	68%	354	306	57	12	1	11	38	110	7	18	4	186	291	340	630	154	247	31	11	274	84	-7	+2	+0	+6	+8	1.0
2032	28	MLB CTX	NYM	68%	354	306	57	12	1	11	38	110	7	17	4	186	291	340	630	154	246	31	11	273	84	-7	+2	-0	+6	+8	0.9
2033	29	MLB CTX	NYM	72%	377	325	60	12	1	12	41	118	8	17	4	185	291	338	630	154	245	31	11	272	83	-8	+2	-1	+7	+8	0.8
2034	30	MLB CTX	NYM	75%	392	338	61	12	1	12	43	124	8	16	4	180	288	328	616	148	244	32	11	269	81	-9	+2	-2	+7	+8	0.7
2035	31	MLB CTX	NYM	78%	391	338	61	12	1	12	42	125	8	14	3	180	286	328	614	148	241	32	11	265	78	-10	+2	-2	+7	+8	0.5
2036	32	MLB CTX	NYM	79%	386	333	59	12	1	11	42	125	8	11	3	177	285	318	603	141	237	32	11	260	74	-12	+1	-3	+7	+8	0.2
2037	33	MLB CTX	NYM	80%	378	327	56	11	1	10	41	124	7	8	2	171	277	303	580	131	233	33	11	254	70	-14	+1	-3	+7	+8	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	3856	3331	606	123	11	116	415	1222	78	162	39	182	287	330	617	148	243	32	11	267	77	-94	+17	-11	+69	+84	6.6
/ 162G	—	A+C		—	650	562	103	21	2	20	70	206	13	27	7	183	289	335	623	151	244	32	11	267	77	-16	+3	-2	+12	+14	1.1
Career	—	MLE		—	6846	5899	1093	220	23	192	726	2197	158	312	84	185	291	328	619	143	254	32	11	282	77	-137	+23	-14	+101	+122	9.7
/ 162G	—	MLE		—	650	560	103	21	2	18	69	209	15	30	8	184	290	325	615	141	252	32	11	282	77	-16	+3	-2	+12	+14	1.1

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1John Bucklast yr '14 career totals — 11 seasons, 4,009 PA	6.0	4,009	134	6	234	301	398	+72	+7	16.9	15.7
/162	664	22	1	+11.9	+1.2	2.8	pk7: 14
#2Jarrod Saltalamacchialast yr '16 career totals — 9 seasons, 3,127 PA	4.7	3,127	110	5	235	308	414	+56	-10	14.1	14.8
/162	664	23	1	+11.9	-2.1	3.0	pk7: 16
#3Bobby Crosbylast yr '10 career totals — 7 seasons, 2,832 PA	4.3	2,832	62	34	238	305	374	+28	+33	11.6	11.6
/162	664	15	8	+6.7	+7.7	2.7	pk7: 12
#4Danny Espinosalast yr '17 career totals — 8 seasons, 3,267 PA	4.9	3,267	98	64	221	297	378	+16	+36	11.0	11.4
/162	664	20	13	+3.2	+7.3	2.2	pk7: 12
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 8 projected seasons	5.8	3,861	116	161	187	289	338	+69	-17	9.4	8.4
/162	664	20	28	+11.9	-3.0	1.6	pk7: 7
#5Everth Cabreralast yr '15 career totals — 6 seasons, 2,059 PA	3.1	2,059	12	136	247	316	328	+22	-1	5.1	5.1
/162	664	4	44	+7.1	-0.5	1.6	pk7: 5
#6J.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

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
Chris Suero (OGILVIE)	22	20→36	45→51	60→58	47	166/275/300	134	236	8	19	34%	11%	67	-0.6	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Trey Sweeney 2023 · AA	23	39→43	47→50	58→55	46	200/276/339	139	268	15	19	30%	9%	74	-0.5	213/284/345	132	280	14	17	28%	8%	78	-0.3	213/282/342	129	276	14	17	27%	8%	75	-0.4
●Matt McLain 2023 · AA	23	40→50	49→55	59→55	47	205/293/360	155	287	16	24	33%	10%	86	+0.3	245/323/418	173	327	19	21	29%	9%	109	+2.0	229/312/387	159	297	19	21	28%	9%	96	+0.9
✕Hayden Cantrelle 2022 · AA	23	34	41→40	54→60	55	164/295/260	96	258	8	24	35%	14%	66	-1.1	190/306/293	103	293	8	20	33%	12%	76	-0.4	190/308/293	103	292	8	21	33%	12%	74	-0.3
✕Jeter Downs 2022 · AAA	24	35→40	46→50	53→55	40	185/248/306	121	260	15	19	34%	7%	56	-1.9	181/262/305	124	259	14	22	34%	8%	62	-1.4	171/263/306	134	238	15	26	33%	8%	61	-0.7
✕Cooper Bowman 2023 · A	23	38→43	43→45	59→60	43	188/270/295	107	285	11	31	36%	8%	62	-1.4	205/277/320	115	284	11	35	30%	8%	70	-0.9	202/274/318	116	272	11	40	28%	8%	66	-0.7
✕Mikey Perez 2023 · A	23	42→35	44→45	58→60	43	204/289/330	125	286	11	31	31%	8%	78	-0.3	198/284/316	118	296	12	26	35%	8%	72	-0.7	150/256/252	101	230	14	36	38%	9%	47	-1.0
✕Jason Taylor 2009 · A	21	42→39	46→45	53→55	51	210/295/335	126	263	13	20	25%	10%	80	-0.1	211/270/323	112	266	10	17	24%	7%	68	-1.0	202/249/302	100	249	8	18	21%	5%	53	-0.7
✕Felix Valerio 2023 · AA	22	43→48	43→45	53→55	49	211/280/324	113	249	11	23	20%	8%	72	-0.7	204/266/302	98	265	9	16	25%	7%	61	-1.5	190/252/275	85	254	8	13	27%	6%	46	-1.1
✕Troy Stokes Jr. 2018 · AA	22	41→38	45→50	53→55	45	208/273/335	127	264	12	20	26%	7%	72	-0.7	197/274/326	129	275	13	16	31%	8%	71	-0.8	175/261/293	118	246	12	18	32%	8%	57	-1.2
✕Jared Serna 2023 · A	21	41→48	43→45	54→50	49	203/292/313	110	263	10	21	26%	9%	75	-0.5	220/278/337	117	273	11	15	23%	6%	74	-0.6	216/272/322	106	264	10	16	22%	6%	65	-1.1
✕Sergio Garcia 2013 · AAA	22	40	45	54→60	39	206/255/326	120	275	13	26	30%	5%	63	-1.4	213/247/306	93	300	8	25	31%	4%	54	-2.0	222/247/328	107	293	10	17	28%	3%	57	-0.8
✕Max George 2019 · A	23	35→38	44→45	53→55	44	180/263/295	115	240	11	20	29%	7%	60	-1.6	190/276/300	110	283	11	20	34%	8%	66	-1.1	150/259/288	138	250	17	20	43%	10%	55	-0.8
✕Kaden Polcovich 2022 · AA	23	38→41	45	54→55	46	193/280/319	126	273	13	17	32%	9%	72	-0.7	199/280/314	115	273	11	17	29%	8%	70	-0.8	190/275/299	108	260	10	19	29%	8%	63	-0.8
✕Tim Tawa 2022 · A	23	45→44	47→55	58→50	45	221/289/359	138	303	14	18	30%	8%	83	+0.1	211/273/334	123	271	14	11	27%	7%	72	-0.7	224/287/394	170	271	21	14	25%	7%	89	+0.4
✕Sean Coyle 2014 · A	22	36	49→50	54→50	37	192/251/336	144	277	17	14	36%	6%	64	-1.3	200/259/334	134	299	16	13	36%	7%	67	-1.1	181/245/299	117	275	13	12	37%	7%	50	-1.3
✕Jorge Mateo 2018 · AA	23	42→48	43→50	63→65	37	204/248/326	122	291	9	34	32%	5%	59	-1.6	200/239/316	116	294	8	24	33%	4%	53	-2.1	213/255/343	130	274	13	52	27%	5%	65	-0.4
✕Liover Peguero 2023 · AA	22	45→46	42→45	56→55	38	223/261/330	107	301	10	23	29%	4%	65	-1.2	218/265/340	122	287	13	18	28%	6%	69	-0.9	212/262/335	123	275	14	18	28%	6%	65	-1.0
✕Kyren Paris 2023 · AA	21	41→47	45	60	41	193/274/319	125	316	12	27	39%	8%	69	-0.9	192/279/314	122	305	12	30	38%	10%	70	-0.9	180/273/303	123	282	14	35	38%	10%	63	-0.9
✕Jakob Marsee 2023 · A	22	44→48	43→45	58→60	54	211/315/327	116	289	9	21	28%	12%	86	+0.3	215/313/338	123	273	13	33	24%	11%	88	+0.5	211/310/338	127	264	13	40	24%	11%	84	+0.2
✕Bo Naylor 2022 · AA	22	33→43	45→55	54→50	39	176/236/295	119	259	13	11	36%	7%	49	-2.4	212/299/376	164	277	19	13	29%	10%	91	+0.7	213/305/387	174	267	21	12	27%	11%	94	+0.7

Career Stats + Projections

Career Comps

Career Path Comps