Jhonael Cuello — OGILVIE

Jhonael CuelloOF DSL Mets Orange

Age 18 L/L 6'0" / 167 lbs ROK H -5% Svc 0.0 · Ctrl thru 2037

2026 ROS PROJECTION211 act + 21 ros · stats below = ROS only

showingROS

wRC+†69

AVG/OBP/SLG.200 / .238 / .250

PA21

HR0

K%24

BB%5

BABIP262

ISO50

MLB%0%

Value2026 · WAR

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

Tools · ContractCON 56 / POW 42

Toolsscout grade

CONTACT56

scouting grade only

POWER42

scouting grade only

EYE47

scouting grade only

SPEED67

scouting grade only

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	+0.2	$0.5M	+$0.0M
2033	Pre-Arb	$1.0M	+0.2	$0.5M	+$0.0M
2034	Pre-Arb	$1.0M	+0.2	$0.4M	+$0.0M
2035	Arb-1	$2M	+0.2	$0.4M	+$0.0M (cut)
2036	Arb-2	$2M	+0.2	$0.4M	+$0.0M (cut)
2037	Arb-3	$2M	+0.1	$0.2M	+$0.0M (cut)
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.

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)
2025	17	ROK	DSL Mets Blue	—	116	103	24	4	0	2	12	16	1	7	1	233	319	330	649	97	259	14	10	299	89	-2	+1	—	—	+3	0.2
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	17	ROK MLE	DSL Mets Blue	—	116	108	18	2	0	1	7	23	1	7	1	167	224	213	437	46	200	20	6	206	26	-10	+1	—	—	+3	-0.7
2025	17	ROK MLE	DSL Mets Blue	—	116	108	18	2	0	1	7	23	1	7	1	167	224	213	437	46	202	20	6	206	26	—	—	—	—	—	—
2025	17	ROK RAW	DSL Mets Blue	—	116	103	24	4	0	2	12	16	1	7	1	233	319	330	649	97	259	14	10	299	26	—	—	—	—	—	—
2025	17	ROK MLE	DSL Mets Blue	—	116	107	18	2	0	1	7	23	1	7	1	168	224	215	439	47	200	20	6	206	26	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2025	17	ROK MLE	DSL Mets Blue	—	116	107	18	2	0	1	7	23	1	7	1	168	224	215	439	47	200	20	6	206	26	—	—	—	—	—	—
YTD	18	ROK MLE	NYM	—	211	192	36	8	4	3	12	47	3	28	8	188	246	318	564	130	226	22	6	245	52	-12	+2	+0	-1	+5	-0.6
▸ 2026 season
YTD	18	ROK RAW	NYM	—	211	185	48	11	6	4	19	33	3	28	8	259	338	449	787	189	289	16	9	341	52	—	—	—	—	—	—
ROS	18	ROK MLE	NYM	0%	21	20	4	1	0	0	1	5	0	1	0	200	238	250	488	50	269	24	5	271	69	-1	+0	+0	-0	+0	-0.0
TOT	18	ROK MLE	NYM	—	232	212	40	9	4	3	13	52	3	29	8	189	246	311	557	123	230	22	6	247	54	-13	+3	+0	-1	+5	-0.7
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	19	MLB MLE	NYM	34%	256	234	52	10	3	5	17	59	3	9	2	222	283	355	638	132	273	23	7	280	76	-7	+1	+0	-2	+6	-0.2
2028	20	MLB MLE	NYM	48%	381	347	78	15	4	8	26	87	5	12	3	225	288	360	649	135	276	23	7	288	81	-9	+1	+0	-2	+8	-0.1
2029	21	MLB MLE	NYM	54%	472	430	97	18	5	10	33	107	6	14	3	226	290	360	650	135	277	23	7	293	84	-9	+2	+0	-3	+10	0.0
2030	22	MLB MLE	NYM	57%	535	485	112	21	6	12	38	120	7	16	4	231	296	373	669	142	278	22	7	296	87	-8	+2	+0	-3	+12	0.2
2031	23	MLB MLE	NYM	58%	578	524	121	23	6	13	41	129	8	17	4	231	297	372	669	141	279	22	7	298	88	-8	+2	+0	-3	+13	0.3
2032	24	MLB MLE	NYM	57%	605	549	128	24	7	14	43	134	8	18	4	233	298	379	677	146	280	22	7	300	89	-8	+2	+0	-4	+13	0.4
2033	25	MLB MLE	NYM	57%	621	564	130	24	7	14	44	137	8	18	4	230	295	372	668	142	280	22	7	300	90	-8	+2	+0	-4	+13	0.4
2034	26	MLB MLE	NYM	57%	628	570	133	25	7	15	45	139	8	18	4	233	299	381	679	147	280	22	7	301	90	-8	+2	+0	-4	+14	0.4
2035	27	MLB MLE	NYM	55%	628	569	132	24	7	15	46	139	8	18	4	232	299	378	676	146	280	22	7	301	90	-8	+2	+0	-4	+14	0.4
2036	28	MLB MLE	NYM	55%	623	564	130	24	7	14	46	139	8	17	4	230	298	372	670	142	279	22	7	300	89	-8	+2	-1	-4	+13	0.3
2037	29	MLB MLE	NYM	53%	613	555	127	23	7	14	45	138	8	17	4	229	296	371	667	142	278	23	7	298	88	-9	+2	-1	-4	+13	0.1
2027	19	MLB CTX	NYM	34%	88	81	17	3	1	2	6	20	1	3	1	210	273	346	618	136	266	23	7	267	76	-3	+0	+0	-1	+2	-0.1
2028	20	MLB CTX	NYM	48%	185	168	37	7	2	4	13	42	2	6	1	220	284	357	641	137	268	23	7	274	81	-4	+1	+0	-1	+4	-0.0
2029	21	MLB CTX	NYM	54%	256	233	52	10	3	5	18	58	3	8	2	223	287	356	644	133	270	23	7	278	84	-5	+1	+0	-2	+6	0.0
2030	22	MLB CTX	NYM	57%	303	275	61	11	3	7	21	68	4	9	2	222	287	360	647	138	271	22	7	282	87	-5	+1	+0	-2	+7	0.1
2031	23	MLB CTX	NYM	58%	333	302	68	13	4	7	24	74	4	10	2	225	291	364	655	139	272	22	7	284	88	-5	+1	+0	-2	+7	0.2
2032	24	MLB CTX	NYM	57%	345	312	71	13	4	8	25	77	5	10	2	228	295	372	667	144	273	22	7	285	89	-5	+1	+0	-2	+7	0.2
2033	25	MLB CTX	NYM	57%	352	319	72	13	4	8	25	78	5	10	2	226	292	367	659	141	273	22	7	286	90	-4	+1	+0	-2	+8	0.2
2034	26	MLB CTX	NYM	57%	355	322	72	13	4	8	25	79	5	10	2	224	290	363	653	140	273	22	7	286	90	-4	+1	+0	-2	+8	0.2
2035	27	MLB CTX	NYM	55%	348	315	71	13	4	8	25	77	5	10	2	225	293	368	661	143	272	22	7	286	90	-4	+1	+0	-2	+8	0.2
2036	28	MLB CTX	NYM	55%	342	309	70	13	4	8	25	76	5	10	2	227	295	372	667	146	272	22	7	285	89	-4	+1	-0	-2	+7	0.2
2037	29	MLB CTX	NYM	53%	328	297	66	12	4	7	24	74	4	9	2	222	289	360	650	138	271	23	7	283	88	-5	+1	-1	-2	+7	0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	3235	2933	657	121	37	72	231	723	43	95	20	224	290	364	654	140	271	22	7	283	86	-48	+11	-1	-19	+70	1.3
/ 162G	—	A+C		—	650	589	131	24	7	14	46	145	9	19	4	222	289	358	647	136	270	22	7	283	86	-10	+2	-0	-4	+14	0.3
Career	—	MLE		—	6077	5519	1262	234	66	135	432	1356	78	182	41	229	294	368	662	140	278	22	7	295	86	-90	+19	-2	-36	+129	2.0
/ 162G	—	MLE		—	650	590	134	25	7	14	46	145	8	19	4	227	291	364	656	137	276	22	7	295	86	-10	+2	-0	-4	+14	0.2

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Manuel Margotlast yr '24 career totals — 8 seasons, 3,154 PA	4.8	3,154	56	94	254	307	380	-5	+27	8.4	8.8
/162	664	12	20	-1.1	+5.6	1.8	pk7: 9
#2Will Venablelast yr '15 career totals — 8 seasons, 3,127 PA	4.7	3,127	81	135	251	317	406	-20	-4	8.9	8.7
/162	664	17	29	-4.2	-0.8	1.9	pk7: 9
#3Michael Saunderslast yr '17 career totals — 8 seasons, 2,711 PA	4.1	2,711	81	55	233	305	399	-12	-13	4.1	4.5
/162	664	20	13	-2.9	-3.2	1.0	pk7: 5
#4Gregory Polancolast yr '21 career totals — 8 seasons, 3,220 PA	4.8	3,220	96	98	241	309	409	-34	-28	3.8	4.4
/162	664	20	20	-7.1	-5.8	0.8	pk7: 5
#5Dustin Ackleylast yr '16 career totals — 6 seasons, 2,347 PA	3.5	2,347	46	31	241	304	367	-5	+7	3.8	3.8
/162	664	13	9	-1.3	+1.9	1.1	pk7: 4
#6Hernán Pérezlast yr '19 career totals — 6 seasons, 1,811 PA	2.7	1,811	45	69	252	281	387	-0	+12	3.7	3.7
/162	664	16	25	-0.0	+4.5	1.3	pk7: 4
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 7 projected seasons	5.1	3,367	75	98	231	293	372	-20	+0	3.3	3.1
/162	664	15	19	-4.0	+0.0	0.7	pk7: 3

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
Jhonael Cuello (OGILVIE)	18	51→56	37→42	62→67	47	212/270/330	118	269	2	8	24%	6%	69	-0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Forrest Wall 2015 · A	19	48→55	41→45	56→70	47	227/290/330	103	300	7	17	26%	8%	76	-0.4	222/274/319	97	291	7	16	25%	6%	68	-1.0	253/326/354	101	349	8	50	27%	9%	92	+0.5
✕Juan Villavicencio 2023 · A	18	43→45	39→50	55	42	205/265/294	89	297	6	14	32%	7%	59	-1.7	186/260/273	87	276	6	12	32%	8%	53	-2.1	195/272/312	117	292	11	20	34%	9%	64	-0.5
✕Franchy Cordero 2014 · A	19	46→54	39→55	58→50	39	212/265/300	88	325	5	13	35%	6%	59	-1.6	207/248/285	78	324	5	13	36%	4%	49	-2.4	243/285/405	162	362	14	17	35%	5%	88	+0.4
✕Telmito Agustin 2016 · A	19	49→42	39→45	57→50	46	231/288/332	101	295	5	17	22%	7%	76	-0.4	224/260/326	102	319	8	13	31%	4%	63	-1.3	224/256/331	107	318	10	12	32%	4%	61	-0.8
✕Jorge Ruiz 2022 · A	18	46→51	37→40	52→50	47	216/289/292	77	265	4	17	19%	6%	68	-1.0	232/284/306	74	288	3	12	20%	5%	68	-1.0	225/273/295	70	286	4	13	21%	5%	59	-0.9
✕Héctor Rodríguez 2023 · A	19	49→50	43→50	53→50	45	235/275/357	123	272	8	15	17%	5%	76	-0.4	233/270/360	127	283	12	11	22%	4%	76	-0.4	233/274/370	137	270	16	9	20%	5%	77	-0.3
●Danny Santana 2009 · A	18	44→54	38→55	58→55	43	206/259/297	91	278	3	14	26%	6%	56	-1.9	205/243/298	93	282	6	15	28%	4%	51	-2.3	240/285/441	201	301	25	22	29%	5%	97	+0.7
✕Nick Williams 2013 · A	19	47→56	38→55	57→45	37	221/269/307	86	325	4	14	32%	5%	63	-1.4	230/268/373	143	341	13	8	35%	3%	78	-0.3	241/297/403	161	321	19	4	30%	5%	93	+0.6
✕Kelvin Duran 2010 · A	19	45	39→45	60→55	43	213/262/308	95	277	5	19	24%	6%	60	-1.6	195/243/273	78	277	5	14	30%	6%	45	-2.7	154/197/200	46	227	5	15	33%	5%	10	-1.2
✕Dalton Pompey 2012 · A	19	39→49	41→45	56→55	45	193/266/287	94	270	9	17	30%	8%	58	-1.7	218/283/318	100	304	7	21	28%	8%	71	-0.8	258/316/357	98	327	7	29	22%	7%	89	+0.4
✕Akil Baddoo 2019 · A	20	42→52	43→50	56→55	47	203/279/323	120	288	8	13	30%	9%	71	-0.8	213/282/343	130	314	11	16	33%	9%	76	-0.4	236/319/383	147	308	15	24	26%	11%	96	+0.7
●Esteury Ruiz 2018 · A	19	47→57	43→50	57→70	38	227/269/358	131	311	8	19	29%	5%	74	-0.5	199/248/301	102	310	8	27	37%	5%	54	-2.0	264/338/395	131	327	12	74	22%	6%	107	+1.2
✕Eury Pérez 2009 · A	19	47→57	37→40	54→65	47	223/297/296	73	290	5	20	23%	8%	72	-0.7	258/302/330	72	319	4	28	19%	5%	80	-0.2	292/329/379	87	355	3	37	18%	4%	98	+0.4
✕Taylor Trammell 2018 · A	20	45→46	41→55	57→55	43	217/275/321	104	306	8	21	30%	7%	69	-0.9	208/280/300	92	300	8	18	31%	9%	66	-1.1	203/297/373	170	273	21	23	32%	11%	88	+0.3
✕Juan Lagares 2007 · A	18	42→52	40→45	53→50	41	203/261/302	99	285	6	11	30%	6%	59	-1.7	203/241/283	80	277	4	10	27%	4%	46	-2.6	268/308/373	106	324	7	13	19%	4%	89	+0.3
✕Jarred Kelenic 2019 · A	20	45→54	43→60	57→50	42	218/277/333	115	296	10	13	29%	7%	72	-0.7	226/284/402	176	289	21	13	28%	7%	91	+0.7	223/292/404	181	286	20	15	29%	8%	92	+0.6
✕Charlie Culberson 2008 · A	19	45→52	37→45	60→50	41	210/271/293	83	300	4	18	30%	6%	61	-1.5	213/257/291	78	285	5	11	26%	4%	54	-2.0	254/306/422	167	324	18	9	26%	6%	98	+0.5
✕Gilberto Celestino 2017 · A	18	43→52	38→45	54→55	48	203/273/292	90	270	5	13	25%	8%	61	-1.5	209/261/295	86	283	6	11	27%	6%	57	-1.8	234/311/308	74	302	5	10	22%	9%	76	-0.2
✕Junior Franco 2022 · A	19	47→41	42→45	57→55	41	216/282/325	110	337	8	15	36%	8%	72	-0.7	205/254/311	106	294	11	18	32%	6%	59	-1.7	221/275/325	104	280	10	21	24%	6%	67	-0.6
✕Alberto Rodriguez 2019 · A	18	40→50	40→45	51→50	43	198/259/283	85	277	8	16	30%	7%	54	-2.0	216/272/315	99	296	8	14	28%	7%	66	-1.1	219/279/346	127	314	10	7	32%	7%	73	-0.6

Career Stats + Projections

Career Comps

Career Path Comps