Chris Suero — OGILVIE

Chris SueroC Binghamton Rumble Ponies

Age 22 R/R 5'11" / 205 lbs AA H +5%HR +3% Svc 0.0 · Ctrl thru 2034 peak 2.0 · 2030

wRC+†80

AVG/OBP/SLG.193 / .287 / .319

PA320

HR8

SB12

K%34

BB%9

MLB%2%

Scouting · now → future

HIT

24↗35

PWR

46↗50

SPD

60↘58

FLD

34↗43

EYE

54↘48

trajectory · 10 yrs

2.0peak

2030

Contract

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

Status MiLB

MLB Debut 2029

Service 0 yrs (est)

Team Control Through 2034

First FA Year 2035

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2029
2027	MiLB	still in minors · estimated debut 2029
2028	MiLB	still in minors · estimated debut 2029
2029	Arb-1	$0.8M	+1.9	$17M	+$16M
2030	Arb-2	$0.9M	+2.0	$18M	+$17M
2031	Arb-3	$0.9M	+2.0	$19M	+$18M
2032	Ext / FA-deal	$4M	+1.9	$18M	+$14M
2033	Ext / FA-deal	$6M	+1.7	$17M	+$11M
2034	Ext / FA-deal	$7M	+1.5	$15M	+$8M
Totals		$20M		$103M	+$84M

Career Projections (MLE)

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.

Year	Age	Lvl	Team	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
2022	18	ROK	DSL Mets 1	127	107	15	5	0	1	16	41	4	4	2	.140	.276	.215	.491	.075	.215	32	13	.225	30	-10	+0	+0	+2	+4	-0.4
2023	19	ROK	FCL Mets	83	69	13	1	1	2	9	28	3	3	0	.188	.309	.319	.627	.130	.268	34	11	.270	65	-3	+1	+0	+1	+2	0.1
2024	20	A+	2 teams	457	400	71	13	2	7	39	136	14	20	11	.177	.274	.273	.546	.095	.245	30	9	.247	47	-27	-0	+0	+8	+13	-0.7
2025	21	A+	3 teams	543	464	87	15	1	15	51	204	22	43	8	.188	.298	.321	.619	.134	.287	38	9	.278	71	-18	+5	+0	+10	+15	1.3
▸ 2026 Season (actual · ROS · total)
2026	22	AA	Binghamton Rumble Ponies	62	50	9	1	1	3	10	24	1	3	2	.180	.328	.420	.748	.240	.250	39	16	.306	92	-1	-0	+0	+1	+2	0.2
ROS	22	MLB	NYM	258	224	42	7	1	7	25	89	7	9	3	.188	.289	.321	.610	.134	.277	34	10	.285	76	-7	+1	+0	+5	+7	0.6
TOT	22	MLB	NYM	320	274	51	8	2	10	35	113	8	12	5	.186	.297	.339	.636	.153	.268	35	11	.289	80	-7	+0	+0	+6	+9	0.8
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	23	MLB 12%	NYM	517	448	89	16	3	14	51	162	13	17	6	.199	.299	.342	.640	.143	.268	31	10	.289	79	-12	+1	+0	+9	+15	1.3
2028	24	MLB 27%	NYM	520	450	92	16	3	15	52	158	13	17	6	.204	.305	.353	.658	.149	.271	30	10	.297	85	-9	+1	+0	+9	+15	1.7
2029	25	MLB 44%	NYM	520	450	94	16	3	16	53	155	12	16	5	.209	.309	.364	.673	.156	.274	30	10	.302	89	-6	+1	+0	+9	+15	1.9
2030	26	MLB 59%	NYM	520	450	95	17	3	16	53	154	12	15	5	.211	.311	.369	.680	.158	.275	30	10	.304	91	-5	+1	+0	+9	+15	2.0
2031	27	MLB 77%	NYM	520	449	94	16	3	16	54	154	12	14	5	.209	.311	.365	.676	.156	.275	30	10	.304	91	-5	+1	+0	+9	+15	2.0
2032	28	MLB 84%	NYM	520	449	93	16	2	16	54	155	12	13	4	.207	.309	.359	.667	.151	.274	30	10	.303	90	-6	+1	-1	+9	+15	1.9
2033	29	MLB 91%	NYM	520	448	92	16	2	16	55	157	12	12	4	.205	.309	.357	.666	.152	.273	30	11	.301	89	-7	+1	-1	+9	+15	1.7
2034	30	MLB	NYM	520	448	91	16	2	15	55	159	12	11	3	.203	.307	.348	.655	.145	.271	31	11	.298	86	-8	+1	-2	+9	+15	1.5
2035	31	MLB	NYM	504	435	86	15	2	14	53	156	11	9	3	.198	.301	.338	.639	.140	.270	31	11	.294	83	-10	+1	-3	+9	+14	1.2
2036	32	MLB	NYM	489	424	82	14	2	13	51	154	11	8	2	.193	.296	.328	.624	.134	.268	31	10	.289	80	-11	+1	-3	+9	+14	0.9
2037	33	MLB	NYM	458	397	76	13	2	12	48	147	10	7	2	.191	.295	.325	.619	.134	.266	32	10	.284	76	-13	+1	-4	+8	+13	0.5
2038	34	MLB	NYM	402	348	66	11	2	10	42	133	9	6	1	.190	.293	.319	.612	.129	.264	33	10	.278	71	-13	+1	-5	+7	+11	0.1
2039	35	MLB	NYM	341	296	53	9	1	8	35	116	7	5	1	.179	.281	.297	.578	.118	.261	34	10	.270	65	-14	+1	-5	+6	+10	-0.3
2040	36	MLB	NYM	280	244	42	7	1	6	28	98	6	4	1	.172	.273	.283	.556	.111	.258	35	10	.261	58	-13	+0	-6	+5	+8	-0.6
▸ Career Totals (MLE all levels + projections)
Career	—			8099	7000	1373	239	36	219	824	2556	202	233	72	.196	.299	.334	.633	.138	.270	32	10	.288	78	-198	+18	-29	+145	+229	16.9
/ 162G	—			650	562	111	19	3	18	66	205	16	19	6	.198	.300	.338	.638	.141	.271	32	10	.288	78	-16	+1	-2	+12	+18	1.3

Historical Stats — Raw (Per Stint)

Actual MLB + MiLB stats as they happened, one row per stint at each level. Use this to see what really got recorded; the table above shows MLB-equivalent translations + projections.

Year	Age	Lvl	Team	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
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	113	+2	+0	—	—	+4	0.6
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	161	+6	+1	—	—	+2	0.9
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	107	+3	+1	—	—	+10	1.4
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	144	+5	-1	—	—	+3	0.7
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	110	+2	+2	—	—	+5	0.9
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	145	+15	+2	—	—	+9	2.7
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	161	+5	+2	—	—	+2	0.8

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	24→35	46→50	60→58	48	.193/.287/.319	.126	.280	8	11	34%	9%	72	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Trey Sweeney 2023 · AA	23	38→43	48→50	57→55	45	.200/.272/.345	.145	.264	16	19	30%	8%	71	-0.3	.213/.284/.353	.140	.278	16	18	28%	8%	78	+0.2	.213/.283/.350	.137	.276	16	17	28%	8%	73	-0.1
●Bo Naylor 2023 · AAA	23	39→43	51→55	54→50	47	.204/.289/.363	.160	.282	18	16	33%	10%	82	+0.5	.215/.301/.392	.177	.270	21	10	27%	10%	95	+1.4	.206/.293/.385	.178	.247	22	6	26%	10%	88	+0.6
●Matt McLain 2023 · AA	23	41→51	51→55	58→55	46	.207/.294/.372	.165	.295	18	24	34%	10%	87	+0.8	.244/.322/.424	.180	.328	20	21	30%	9%	112	+2.6	.242/.325/.399	.157	.318	18	21	28%	10%	104	+1.4
✕Cooper Bowman 2022 · A	22	44→42	45	56→60	41	.216/.289/.348	.132	.304	12	18	31%	7%	79	+0.3	.200/.277/.317	.117	.285	12	34	32%	8%	66	-0.6	.200/.273/.320	.120	.271	12	40	29%	8%	62	-0.6
✕Alan Espinoza 2013 · AAA	22	44	44→55	52→45	40	.216/.267/.333	.117	.301	11	12	31%	6%	64	-0.8	.230/.279/.352	.122	.283	13	8	23%	5%	75	-0.0	.255/.294/.411	.157	.288	19	3	19%	4%	94	+0.7
✕Jeter Downs 2021 · AA	23	42→41	50	52→55	45	.218/.284/.375	.158	.271	18	18	26%	7%	83	+0.6	.182/.253/.314	.132	.259	17	20	35%	7%	55	-1.4	.178/.268/.330	.152	.242	18	26	33%	8%	64	-0.3
✕Tim Tawa 2022 · A	23	45→43	47→50	58→50	45	.225/.290/.366	.142	.304	14	17	30%	8%	83	+0.6	.208/.272/.334	.126	.270	15	11	28%	8%	67	-0.5	.204/.271/.351	.147	.261	18	12	28%	8%	69	-0.3
✕Kaden Polcovich 2022 · AA	23	39	46→45	54→55	45	.196/.282/.327	.131	.279	14	17	33%	9%	71	-0.3	.195/.278/.316	.121	.271	12	17	31%	9%	66	-0.6	.183/.271/.296	.112	.254	11	19	30%	9%	55	-0.8
✕Sean Coyle 2014 · A	22	36	48→50	54→50	37	.191/.251/.335	.144	.272	16	14	35%	6%	59	-1.1	.202/.261/.344	.142	.302	17	13	37%	7%	66	-0.6	.180/.244/.304	.124	.276	15	12	39%	7%	45	-1.1
✕Eric Brown Jr. 2023 · A	22	46→32	44→40	58→65	45	.224/.296/.346	.123	.297	11	25	27%	8%	81	+0.4	.197/.265/.283	.086	.256	8	29	25%	7%	51	-1.7	.170/.237/.237	.067	.221	6	29	25%	7%	26	-1.6
✕Tucker Mitchell 2023 · A	22	38	43→50	51→45	35	.183/.259/.287	.104	.311	11	11	42%	6%	51	-1.7	.198/.263/.310	.112	.287	13	7	34%	6%	58	-1.2	.185/.242/.280	.095	.261	13	5	33%	5%	38	-1.0
✕Ceddanne Rafaela 2023 · AA	22	45→50	50→55	58→55	37	.233/.269/.397	.164	.291	17	19	27%	4%	82	+0.5	.243/.280/.402	.159	.305	18	23	26%	4%	88	+0.9	.244/.283/.399	.155	.300	17	24	24%	4%	86	+0.7
✕Kyren Paris 2023 · AA	21	41→46	45	59→60	41	.194/.274/.319	.125	.313	12	26	39%	8%	65	-0.7	.193/.278/.319	.126	.311	13	30	39%	9%	67	-0.5	.179/.270/.309	.131	.284	15	35	39%	10%	59	-0.7
✕Everson Pereira 2023 · AA	22	45→47	53→55	54→50	39	.228/.283/.403	.175	.328	21	16	36%	7%	90	+1.0	.226/.287/.387	.161	.333	19	15	36%	7%	88	+0.9	.217/.286/.378	.161	.313	21	15	36%	7%	81	+0.3
✕Sicnarf Loopstok 2016 · A	23	41→37	49→50	53→50	39	.211/.272/.359	.148	.288	17	9	32%	6%	75	-0.0	.211/.274/.346	.135	.297	14	11	32%	6%	72	-0.2	.206/.277/.356	.150	.287	18	9	33%	7%	76	+0.0
✕Mario Lisson 2006 · A	22	46→49	43→55	57→55	50	.222/.307/.345	.122	.296	10	18	26%	10%	85	+0.7	.222/.287/.338	.116	.289	11	21	26%	7%	75	-0.0	.233/.305/.376	.142	.304	18	8	28%	8%	91	+0.8
✕Agustín Ramírez 2023 · A	21	43→45	45→55	50	43	.213/.273/.339	.126	.289	12	10	30%	7%	69	-0.4	.229/.292/.389	.160	.276	19	13	24%	8%	90	+1.0	.230/.293/.405	.176	.264	22	16	22%	7%	92	+1.1
✕Kenedy Corona 2023 · A	23	42→40	47→50	53→55	39	.213/.268/.348	.136	.294	15	21	32%	6%	69	-0.4	.201/.263/.323	.122	.283	13	24	32%	7%	61	-1.0	.187/.253/.290	.103	.264	10	27	32%	7%	45	-1.5
✕Juan Mora 2022 · A	22	46	44→45	55	46	.222/.297/.343	.121	.288	11	15	26%	8%	81	+0.4	.226/.283/.335	.109	.306	10	9	28%	5%	72	-0.2	.220/.277/.325	.105	.292	10	8	27%	5%	65	-0.3
●Zack Gelof 2022 · A	22	49→50	49→55	54→55	43	.237/.299/.390	.152	.332	17	16	32%	8%	93	+1.3	.231/.295/.403	.172	.327	21	19	34%	8%	95	+1.4	.226/.292/.399	.173	.315	22	24	34%	8%	90	+0.9

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)