Yohairo Cuevas — OGILVIE

Yohairo CuevasOF Brooklyn Cyclones

Age 22 L/L 6'3" / 172 lbs A+ H -5% Svc 0.0 · Ctrl thru 2035

2026 ROS PROJECTION310 act + 10 ros · stats below = ROS only

showingROS

wRC+†54

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

PA10

HR0

K%40

BB%10

BABIP261

ISO68

MLB%0%

Value2026 · WAR

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

Tools · ContractCON 45 / POW 25

Toolsscout grade

CONTACT45

scouting grade only

POWER25

scouting grade only

EYE60

scouting grade only

SPEED50

scouting grade only

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

Status MiLB

MLB Debut 2030

Service 0 yrs (est)

Team Control Through 2035

First FA Year 2036

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2030
2027	MiLB	still in minors · estimated debut 2030
2028	MiLB	still in minors · estimated debut 2030
2029	MiLB	still in minors · estimated debut 2030
2030	Pre-Arb	$0.9M	—	—	—
2031	Pre-Arb	$0.9M	—	—	—
2032	Ext	beyond projection horizon · no WAR estimate
2033	Ext	beyond projection horizon · no WAR estimate
2034	Ext	beyond projection horizon · no WAR estimate
2035	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$-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)
2021	17	ROK	DSL Mets 1	—	133	103	16	6	0	0	23	41	5	5	0	155	336	214	549	58	250	31	17	274	72	-4	+1	—	—	+3	-0.1
2022	18	ROK	DSL Mets 1	—	195	166	46	12	1	2	27	43	0	7	3	277	378	398	776	120	358	22	14	349	122	+5	+0	—	—	+4	1.0
2023	19	A	St. Lucie Mets	—	91	79	17	3	1	2	9	24	2	6	1	215	311	354	666	139	278	26	10	300	89	-1	+1	—	—	+2	0.2
2023	19	ROK	FCL Mets	—	90	71	22	3	2	4	18	21	0	7	1	310	449	577	1.027	268	383	23	20	441	185	+9	+1	—	—	+2	1.2
2024	20	A	St. Lucie Mets	—	457	385	82	27	1	1	65	119	5	20	5	213	334	296	630	83	303	26	14	296	87	-7	+2	—	—	+10	0.5
2025	21	A+	Brooklyn Cyclones	—	121	107	22	5	1	0	10	31	3	10	1	206	292	271	563	65	286	26	8	262	63	-5	+2	—	—	+3	-0.1
2025	21	A	St. Lucie Mets	—	257	198	55	12	0	2	50	50	8	11	2	278	441	369	810	91	361	19	19	379	143	+13	+1	—	—	+6	2.0
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2021	17	ROK MLE	DSL Mets 1	—	133	112	12	4	0	0	14	62	5	5	0	107	237	143	379	36	203	47	11	179	7	-15	+1	—	—	+3	-1.1
2022	18	ROK MLE	DSL Mets 1	—	195	176	35	8	1	2	17	61	0	7	3	199	269	290	559	91	287	31	9	249	55	-11	+0	—	—	+4	-0.6
2023	19	A MLE	St. Lucie Mets	—	91	81	12	2	1	1	7	36	2	6	1	148	233	235	468	86	244	40	8	218	34	-7	+1	—	—	+2	-0.4
2023	19	ROK MLE	FCL Mets	—	90	78	16	2	1	3	11	32	0	7	1	205	303	372	675	167	290	36	12	300	89	-1	+1	—	—	+2	0.2
2024	20	A MLE	St. Lucie Mets	—	457	403	70	24	1	1	47	170	5	20	5	174	268	246	514	72	291	37	10	235	45	-30	+2	—	—	+10	-1.8
2025	21	A+ MLE	Brooklyn Cyclones	—	121	111	19	4	1	0	6	41	3	10	1	171	233	225	459	54	257	34	5	204	24	-11	+2	—	—	+3	-0.7
2025	21	A MLE	St. Lucie Mets	—	257	210	51	12	0	2	38	67	8	11	2	243	379	329	707	86	345	26	15	329	109	+3	+1	—	—	+6	1.0
2021	17	ROK MLE	DSL Mets 1	—	133	112	12	4	0	0	14	62	5	5	0	107	237	143	379	36	231	47	11	179	7	—	—	—	—	—	—
2021	17	ROK RAW	DSL Mets 1	—	133	103	16	6	0	0	23	41	5	5	0	155	336	214	549	58	250	31	17	274	7	—	—	—	—	—	—
2022	18	ROK MLE	DSL Mets 1	—	195	176	35	8	1	2	17	61	0	7	3	199	269	290	559	91	287	31	9	249	55	—	—	—	—	—	—
2022	18	ROK RAW	DSL Mets 1	—	195	166	46	12	1	2	27	43	0	7	3	277	378	398	776	120	358	22	14	349	55	—	—	—	—	—	—
2023	19	A MLE	2 teams	—	181	160	29	5	2	4	17	68	2	13	2	181	268	312	581	131	278	38	9	259	61	—	—	—	—	—	—
2023	19	A RAW	2 teams	—	181	150	39	6	3	6	27	45	2	13	2	260	380	460	840	200	327	25	15	371	61	—	—	—	—	—	—
2024	20	A MLE	St. Lucie Mets	—	457	403	70	24	1	1	47	170	5	20	5	174	268	246	514	72	295	37	10	235	45	—	—	—	—	—	—
2024	20	A RAW	St. Lucie Mets	—	457	385	82	27	1	1	65	119	5	20	5	213	334	296	630	83	303	26	14	296	45	—	—	—	—	—	—
2025	21	A MLE	2 teams	—	378	321	70	16	1	2	44	108	11	21	3	218	332	293	625	75	319	29	12	289	82	—	—	—	—	—	—
2025	21	A RAW	2 teams	—	378	305	77	17	1	2	60	81	11	21	3	252	394	334	728	82	335	21	16	342	82	—	—	—	—	—	—
2021	17	ROK MLE	DSL Mets 1	—	133	113	12	4	0	0	14	62	5	5	0	106	237	142	378	35	203	47	11	179	7	—	—	—	—	—	—
2022	18	ROK MLE	DSL Mets 1	—	195	176	35	8	1	2	17	61	0	7	3	199	269	290	559	91	287	31	9	249	55	—	—	—	—	—	—
2023	19	A MLE	2 teams	—	181	160	29	5	2	4	17	68	2	13	2	181	268	312	581	131	267	38	9	259	61	—	—	—	—	—	—
2024	20	A MLE	St. Lucie Mets	—	457	402	70	24	1	1	47	170	5	20	5	174	268	246	514	72	291	37	10	235	45	—	—	—	—	—	—
2025	21	A MLE	2 teams	—	378	320	70	16	1	2	44	108	11	21	3	219	332	294	626	75	317	29	12	289	82	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	19	A MLE	2 teams	—	181	160	29	5	2	4	17	68	2	13	2	181	268	312	581	131	267	38	9	259	61	—	—	—	—	—	—
2024	20	A MLE	St. Lucie Mets	—	457	402	70	24	1	1	47	170	5	20	5	174	268	246	514	72	291	37	10	235	45	—	—	—	—	—	—
2025	21	A MLE	2 teams	—	378	320	70	16	1	2	44	108	11	21	3	219	332	294	626	75	317	29	12	289	82	—	—	—	—	—	—
YTD	22	A+ MLE	NYM	—	310	270	46	17	2	6	31	126	8	10	2	170	275	315	590	144	288	41	10	264	65	-13	+1	+0	-2	+7	-0.7
▸ 2026 season
YTD	22	A RAW	NYM	—	103	78	24	11	1	2	19	21	5	4	2	308	471	551	1.022	244	393	20	18	445	65	—	—	—	—	—	—
YTD	22	A+ RAW	NYM	—	181	153	23	4	2	6	25	68	3	5	0	150	282	320	602	170	215	38	14	279	65	—	—	—	—	—	—
YTD	22	AA RAW	NYM	—	26	25	8	4	0	0	1	4	0	1	0	320	346	480	826	160	381	15	4	364	65	—	—	—	—	—	—
ROS	22	A+ MLE	NYM	0%	10	9	1	0	0	0	1	4	0	0	0	111	200	111	311		268	40	10	248	54	-1	+0	+0	-0	+0	-0.0
TOT	22	A+ MLE	NYM	—	320	279	47	17	2	6	32	130	8	10	2	168	273	308	581	140	285	41	10	264	65	-14	+1	+0	-2	+7	-0.7
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	23	MLB MLE	NYM	35%	444	386	67	19	2	7	46	162	9	11	2	174	277	288	564	114	270	36	10	261	63	-20	+1	+0	-3	+10	-1.2
2028	24	MLB MLE	NYM	46%	488	425	77	21	2	9	51	171	9	12	2	181	282	304	586	122	273	35	10	270	69	-18	+2	+0	-3	+11	-0.9
2029	25	MLB MLE	NYM	52%	512	445	82	22	2	10	53	175	9	12	2	184	284	310	594	126	274	34	10	276	73	-17	+2	+0	-3	+11	-0.7
2030	26	MLB MLE	NYM	54%	524	454	85	22	2	11	55	178	10	13	2	187	289	317	606	130	275	34	10	278	74	-16	+2	+0	-3	+11	-0.6
2031	27	MLB MLE	NYM	54%	527	456	85	22	2	11	56	179	10	13	2	186	289	316	605	129	274	34	11	278	74	-16	+2	+0	-3	+11	-0.6
2027	23	MLB CTX	NYM	35%	153	133	22	6	1	2	16	56	3	4	1	165	270	271	540	105	263	37	10	243	63	-7	+0	+0	-1	+3	-0.4
2028	24	MLB CTX	NYM	46%	226	196	34	9	1	4	24	79	4	5	1	173	277	291	568	117	266	35	11	253	69	-8	+1	+0	-1	+5	-0.4
2029	25	MLB CTX	NYM	52%	265	230	41	11	1	5	28	91	5	6	1	178	281	300	581	122	267	34	11	258	73	-9	+1	+0	-2	+6	-0.4
2030	26	MLB CTX	NYM	54%	284	247	45	12	1	6	30	96	5	7	1	182	284	312	595	130	267	34	11	260	74	-9	+1	+0	-2	+6	-0.3
2031	27	MLB CTX	NYM	54%	286	249	45	12	1	6	30	97	5	7	1	181	282	309	591	129	267	34	10	261	74	-9	+1	+0	-2	+6	-0.3
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1214	1055	187	50	5	23	128	419	22	29	5	177	280	300	579	122	265	35	11	256	65	-41	+4	+0	-7	+26	-1.9
/ 162G	—	A+C		—	650	565	100	27	3	12	69	224	12	16	3	177	281	299	580	122	265	34	11	256	65	-22	+2	+0	-4	+14	-1.0
Career	—	MLE		—	3849	3347	613	163	15	57	401	1338	70	127	23	183	284	292	576	109	282	35	10	265	65	-87	+8	+0	-15	+54	-4.0
/ 162G	—	MLE		—	650	565	105	28	3	10	68	226	12	21	4	186	287	299	586	113	285	35	10	265	65	-23	+2	+0	-4	+14	-1.0

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Michael 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
#2Gregory 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
#3Adam 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
#4Dustin 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
#5Nick Senzellast yr '24 career totals — 6 seasons, 1,633 PA	2.5	1,633	40	33	232	299	363	+6	-14	0.9	0.9
/162	664	16	13	+2.4	-5.8	0.4	pk7: 1
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 2 projected seasons	1.8	1,216	24	29	185	283	313	-7	+0	-1.1	-0.6
/162	664	13	16	-4.0	+0.0	-0.6	pk7: 0
#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
Yohairo Cuevas (OGILVIE)	22	45	25	50	60	160/265/258	98	268	4	9	39%	10%	54	-1.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Kier Meredith 2022 · A	22	42	36→30	51→60	45	197/268/264	67	279	4	12	29%	8%	53	-2.1	210/306/281	71	297	4	26	28%	9%	73	-0.6	226/338/275	49	304	3	35	23%	10%	81	-0.0
✕Jeisson Rosario 2022 · AA	22	44→49	37→45	46→50	46	205/281/276	71	305	5	11	32%	9%	61	-1.5	210/294/315	105	300	9	12	30%	10%	75	-0.5	202/293/306	104	288	10	12	30%	11%	70	-0.5
✕Jason Denham 2008 · A	22	44→45	38→40	51→55	44	211/269/283	72	288	6	16	28%	7%	57	-1.8	224/284/319	95	288	9	18	24%	7%	72	-0.7	227/292/316	89	272	11	27	20%	8%	73	-0.3
✕Raynel Delgado 2022 · A	22	37→47	40	47→60	36	184/239/270	86	284	8	13	36%	6%	44	-2.8	212/279/303	91	297	8	18	29%	7%	66	-1.1	236/299/323	88	323	7	32	27%	7%	75	-0.4
✕Thomas Milone 2017 · A	22	40→45	36→45	48→55	40	191/248/252	62	276	3	14	31%	6%	42	-2.9	213/266/300	87	301	4	12	29%	6%	60	-1.6	237/293/354	117	331	7	17	29%	6%	79	-0.1
✕Elias Arias 2016 · A	22	45	36→30	46→55	46	211/274/274	63	275	4	13	24%	7%	57	-1.8	200/254/283	83	304	6	9	34%	6%	52	-2.2	161/210/245	83	254	7	9	38%	5%	23	-0.9
✕Chris Bisson 2012 · A	22	46→54	36→30	49→60	43	214/273/276	62	307	3	13	30%	7%	57	-1.8	229/274/299	70	316	4	21	27%	6%	62	-1.4	240/278/301	61	323	3	29	25%	5%	62	-0.8
✕Livan Soto 2022 · AA	22	36→46	40	50	42	182/238/271	89	250	7	11	30%	6%	43	-2.8	225/293/312	87	303	7	9	26%	8%	74	-0.6	234/307/314	80	309	6	8	24%	9%	77	-0.3
✕Michael DeJesus 2006 · A	23	43→51	36→30	50→45	50	200/287/267	67	290	3	11	30%	10%	61	-1.5	224/299/284	60	278	4	7	19%	10%	70	-0.9	229/306/285	57	278	4	5	17%	10%	70	-0.6
✕Christian Cairo 2023 · A	22	39→46	39→40	53→60	49	181/288/262	81	287	6	16	35%	11%	63	-1.4	203/293/281	78	295	5	23	30%	10%	68	-1.0	205/292/276	72	294	4	31	28%	9%	64	-0.8
✕Jean Ramirez 2022 · A	21	44→49	38→40	51→65	44	202/281/282	80	307	5	19	33%	8%	63	-1.4	214/274/296	82	306	8	27	30%	7%	63	-1.4	210/269/276	67	295	7	31	30%	7%	53	-1.0
✕Exicardo Cayones 2014 · A	22	46	38→40	51→45	42	213/286/293	80	322	4	12	33%	7%	67	-1.1	219/297/301	82	323	4	9	30%	9%	73	-0.6	228/304/306	78	333	3	7	29%	9%	74	-0.4
✕Candido Pimentel 2012 · A	22	45	34→30	49→55	46	207/272/257	49	292	2	15	28%	8%	53	-2.1	233/283/290	57	326	2	14	27%	6%	63	-1.3	253/299/303	50	349	1	18	26%	6%	68	-0.4
✕Aaron Shipman 2014 · A	22	46→37	34→30	48→50	51	212/294/266	55	293	1	13	26%	10%	63	-1.3	231/310/313	82	316	4	16	25%	10%	80	-0.2	248/339/336	87	340	2	24	24%	12%	91	+0.2
✕River Town 2022 · A	23	43→38	37→40	54→50	43	203/281/276	74	285	3	12	28%	7%	61	-1.5	210/295/314	104	266	10	15	23%	8%	76	-0.4	205/297/303	98	254	9	15	22%	9%	73	-0.4
✕Carlos Rodríguez 2023 · A	22	46→56	38→40	51→55	44	218/277/303	85	299	5	16	28%	7%	65	-1.2	249/302/325	76	299	4	15	17%	7%	78	-0.3	250/303/320	70	288	5	18	14%	7%	75	-0.4
✕Corey Adamson 2014 · A	22	45→50	37→40	53→50	46	213/279/288	76	291	4	18	27%	8%	62	-1.4	226/289/335	109	301	9	15	26%	7%	77	-0.3	227/290/352	125	294	11	15	25%	6%	79	-0.1
✕Gosuke Katoh 2017 · A	22	41→51	38→45	52→50	42	189/263/267	79	309	5	11	38%	9%	52	-2.2	215/281/311	96	318	7	11	32%	8%	69	-0.9	220/287/313	93	311	7	11	29%	8%	69	-0.7
✕Michael Siani 2021 · A	22	43→45	38→40	53→60	40	205/260/281	76	283	6	21	29%	6%	53	-2.1	198/268/295	97	271	9	28	28%	8%	61	-1.5	207/279/299	92	270	8	33	25%	8%	63	-1.1
✕Nelson B Alvarez 2018 · A	22	40	37→40	46→40	49	188/272/256	68	260	4	5	27%	9%	53	-2.1	179/261/246	67	253	4	6	28%	9%	47	-2.5	73/187/105	32	93	4	2	26%	12%	-10	-1.2

Career Stats + Projections

Career Comps

Career Path Comps