Yahil Melendez — OGILVIE

Yahil MelendezSS Myrtle Beach Pelicans

Age 20 L/R 6'1" / 165 lbs A HR -8% Svc 0.0 · Ctrl thru 2036

2026 ROS PROJECTION207 act + 19 ros · stats below = ROS only

showingROS

wRC+†40

AVG/OBP/SLG.176 / .263 / .235

PA19

HR0

K%37

BB%11

BABIP271

ISO59

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit-$4M ctrl surplus

Tools · ContractCON 25 / POW 25

Toolsscout grade

CONTACT25

scouting grade only

POWER25

scouting grade only

EYE55

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	—	—	—
2032	Pre-Arb	$0.9M	—	—	—
2033	Pre-Arb	$1.0M	—	—	—
2034	Arb-1	$0.6M	—	—	—
2035	Arb-2	$0.4M	—	—	—
2036	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$-0.9M	+$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)
2023	17	ROK	ACL Cubs	—	39	38	9	2	1	0	1	16	0	0	0	237	256	342	599	105	409	41	3	264	65	-2	+0	—	—	+1	-0.1
2024	18	ROK	ACL Cubs	—	218	179	48	13	3	3	30	62	8	11	6	268	396	425	821	156	391	28	14	371	137	+10	-0	—	—	+5	1.4
2025	19	A	Myrtle Beach Pelicans	—	207	169	37	5	1	2	30	75	7	7	4	219	359	296	655	77	376	36	14	312	97	-1	-0	—	—	+4	0.4
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2023	17	ROK MLE	ACL Cubs	—	39	38	5	1	1	0	1	23	0	0	0	132	154	211	364	79	322	59	3	141	-18	-5	+0	—	—	+1	-0.5
2024	18	ROK MLE	ACL Cubs	—	218	190	33	9	2	2	19	90	8	11	6	174	276	274	550	100	297	41	9	244	51	-13	-0	—	—	+5	-0.8
2025	19	A MLE	Myrtle Beach Pelicans	—	207	182	27	3	1	2	17	111	7	7	4	148	248	209	456	60	346	54	8	207	26	-18	-0	—	—	+4	-1.4
2023	17	ROK MLE	ACL Cubs	—	39	38	5	1	1	0	1	23	0	0	0	132	154	211	364	79	333	59	3	141	-18	—	—	—	—	—	—
2023	17	ROK RAW	ACL Cubs	—	39	38	9	2	1	0	1	16	0	0	0	237	256	342	599	105	409	41	3	264	-18	—	—	—	—	—	—
2024	18	ROK MLE	ACL Cubs	—	218	190	33	9	2	2	19	90	8	11	6	174	276	274	550	100	313	41	9	244	51	—	—	—	—	—	—
2024	18	ROK RAW	ACL Cubs	—	218	179	48	13	3	3	30	62	8	11	6	268	396	425	821	156	391	28	14	371	51	—	—	—	—	—	—
2025	19	A MLE	Myrtle Beach Pelicans	—	207	182	27	3	1	2	17	111	7	7	4	148	248	209	456	60	357	54	8	207	26	—	—	—	—	—	—
2025	19	A RAW	Myrtle Beach Pelicans	—	207	169	37	5	1	2	30	75	7	7	4	219	359	296	655	77	376	36	14	312	26	—	—	—	—	—	—
2023	17	ROK MLE	ACL Cubs	—	39	38	5	1	1	0	1	23	0	0	0	132	154	211	364	79	322	59	3	141	-18	—	—	—	—	—	—
2024	18	ROK MLE	ACL Cubs	—	218	189	33	9	2	2	19	90	8	11	6	175	276	275	552	101	297	41	9	244	51	—	—	—	—	—	—
2025	19	A MLE	Myrtle Beach Pelicans	—	207	181	27	3	1	2	17	111	7	7	4	149	248	210	458	61	346	54	8	207	26	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	17	ROK MLE	ACL Cubs	—	39	38	5	1	1	0	1	23	0	0	0	132	154	211	364	79	322	59	3	141	-18	—	—	—	—	—	—
2024	18	ROK MLE	ACL Cubs	—	218	189	33	9	2	2	19	90	8	11	6	175	276	275	552	101	297	41	9	244	51	—	—	—	—	—	—
2025	19	A MLE	Myrtle Beach Pelicans	—	207	181	27	3	1	2	17	111	7	7	4	149	248	210	458	61	346	54	8	207	26	—	—	—	—	—	—
YTD	20	A MLE	CHC	—	207	184	22	6	0	1	18	105	5	3	1	120	217	168	386	49	269	51	9	189	14	-21	+0	+0	+2	+4	-1.5
▸ 2026 season
YTD	20	A RAW	CHC	—	207	174	30	9	0	2	28	74	5	3	1	172	304	259	563	86	286	36	14	271	14	—	—	—	—	—	—
ROS	20	A MLE	CHC	0%	19	17	3	1	0	0	2	7	0	0	0	176	263	235	498	59	269	37	11	228	40	-1	+0	+0	+0	+0	-0.1
TOT	20	A MLE	CHC	—	226	201	25	7	0	1	20	112	5	3	1	124	221	174	395	50	273	50	9	192	16	-23	+0	+0	+2	+5	-1.5
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	21	MLB MLE	CHC	34%	286	255	46	10	1	4	24	101	5	5	2	180	264	275	539	94	274	35	8	247	54	-16	+0	+0	+3	+6	-0.6
2028	22	MLB MLE	CHC	48%	390	347	65	14	1	7	33	132	7	7	2	187	271	294	565	107	277	34	8	259	62	-18	+1	+0	+4	+8	-0.5
2029	23	MLB MLE	CHC	54%	458	408	80	17	2	9	39	151	8	8	3	196	279	314	593	118	279	33	9	267	67	-18	+0	+0	+5	+10	-0.3
2030	24	MLB MLE	CHC	55%	502	445	87	18	2	10	43	164	9	9	3	196	280	312	592	117	280	33	9	271	69	-18	+1	+0	+5	+11	-0.1
2031	25	MLB MLE	CHC	56%	527	466	92	19	2	11	46	171	10	10	3	197	284	318	601	120	280	32	9	272	70	-19	+1	+0	+6	+11	-0.1
2032	26	MLB MLE	CHC	56%	540	478	94	20	2	11	47	176	10	10	3	197	282	316	598	119	280	33	9	273	71	-19	+1	+0	+6	+12	-0.1
2033	27	MLB MLE	CHC	55%	543	480	94	20	2	11	48	177	10	10	3	196	283	315	597	119	280	33	9	273	71	-19	+1	+0	+6	+12	-0.0
2034	28	MLB MLE	CHC	55%	541	478	94	20	2	11	48	177	10	10	3	197	284	316	599	119	279	33	9	272	70	-19	+1	-1	+6	+12	-0.2
2035	29	MLB MLE	CHC	58%	533	470	92	19	2	11	48	176	10	9	3	196	284	315	599	119	278	33	9	270	69	-20	+1	-1	+6	+12	-0.3
2027	21	MLB CTX	CHC	34%	98	88	15	3	0	1	8	35	2	2	1	170	255	239	494	68	276	36	8	234	54	-5	+0	+0	+1	+2	-0.2
2028	22	MLB CTX	CHC	48%	189	167	32	7	1	3	16	64	4	3	1	192	278	299	577	108	279	34	8	246	62	-9	+0	+0	+2	+4	-0.2
2029	23	MLB CTX	CHC	54%	248	220	43	9	1	5	21	82	5	4	1	195	280	314	594	118	280	33	8	253	67	-10	+0	+0	+3	+5	-0.1
2030	24	MLB CTX	CHC	55%	278	247	48	10	1	5	24	91	5	5	2	194	279	304	583	109	281	33	9	258	69	-10	+0	+0	+3	+6	-0.1
2031	25	MLB CTX	CHC	56%	295	262	52	11	1	6	26	96	5	5	2	198	283	317	600	118	282	33	9	259	70	-10	+0	+0	+3	+6	-0.1
2032	26	MLB CTX	CHC	56%	304	268	53	11	1	6	27	99	6	6	2	198	286	313	599	116	281	33	9	259	71	-11	+0	+0	+3	+7	-0.0
2033	27	MLB CTX	CHC	55%	300	265	52	11	1	6	27	98	5	6	2	196	283	313	596	117	281	33	9	259	71	-10	+0	+0	+3	+6	-0.0
2034	28	MLB CTX	CHC	55%	297	263	52	11	1	6	27	97	5	5	2	198	285	316	600	118	281	33	9	259	70	-11	+0	-0	+3	+6	-0.1
2035	29	MLB CTX	CHC	58%	309	272	53	11	1	6	28	102	6	5	2	195	284	309	593	114	280	33	9	257	69	-11	+0	-1	+3	+7	-0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2318	2052	400	84	8	44	204	764	43	41	15	195	281	308	589	113	284	33	9	256	65	-87	+2	-1	+25	+50	-1.1
/ 162G	—	A+C		—	650	575	112	24	2	12	57	214	12	11	4	195	281	306	587	111	284	33	9	256	65	-24	+1	-0	+7	+14	-0.3
Career	—	MLE		—	4803	4254	812	171	20	89	415	1656	94	96	35	191	277	303	581	112	285	34	9	264	65	-166	+6	-2	+46	+94	-2.3
/ 162G	—	MLE		—	650	576	110	23	3	12	56	224	13	13	5	191	278	304	581	113	286	34	9	264	65	-25	+1	-0	+7	+14	-0.3

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
#2Adam 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
#3Adam Rosaleslast yr '17 career totals — 9 seasons, 1,756 PA	2.6	1,756	47	16	227	293	367	+6	+8	3.0	3.5
/162	664	18	6	+2.4	+3.0	1.1	pk7: 4
#4Ryan 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
#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 6 projected seasons	3.8	2,519	47	46	194	277	307	+27	+18	0.2	0.5
/162	664	12	12	+7.1	+4.7	0.1	pk7: 1
#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
Yahil Melendez (OGILVIE)	20	25	25	50	55	163/249/230	66	269	1	3	37%	8%	40	-1.0	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Jaden Rudd 2023 · A	20	39→36	39→30	49→50	49	188/279/278	90	259	6	12	28%	10%	62	-1.4	179/292/246	67	290	3	14	35%	11%	61	-1.5	155/286/207	52	265	2	16	36%	11%	49	-1.2
✕Oswal Leones 2021 · A	20	41	36→30	46→50	46	196/259/262	66	262	4	12	25%	7%	49	-2.4	198/260/265	67	297	3	8	31%	7%	50	-2.3	180/247/237	57	275	2	9	33%	7%	36	-1.1
✕Michael De La Cruz 2016 · A	20	41	36→40	45→50	44	192/261/262	70	277	4	9	30%	8%	50	-2.3	192/257/257	65	308	3	10	35%	8%	47	-2.5	156/232/188	31	269	0	14	38%	9%	20	-1.5
✕Aaron Shipman 2013 · A	21	40→37	35→30	44→50	48	187/266/245	59	273	2	9	30%	9%	49	-2.4	224/306/292	68	309	2	16	25%	10%	74	-0.6	243/332/303	60	328	1	21	23%	11%	81	-0.0
✕Terry Serrano 2007 · A	20	39	35→30	49→55	46	184/261/240	56	270	2	16	30%	9%	45	-2.7	196/268/257	61	275	3	15	27%	8%	51	-2.2	193/272/251	58	274	2	17	28%	9%	50	-1.0
✕Emmanuel Morel 2017 · A	20	40	34→30	50→55	44	183/259/238	55	287	2	15	34%	9%	44	-2.8	196/261/262	66	318	2	13	36%	7%	50	-2.3	183/249/232	49	297	0	21	35%	6%	36	-0.8
✕Darrien Miller 2021 · A	20	42→41	36→45	47→45	43	198/272/267	70	271	3	8	27%	6%	56	-1.9	199/300/314	115	273	13	6	30%	9%	79	-0.2	175/316/278	103	239	9	4	27%	12%	76	-0.2
✕Jefry Puente 2012 · A	20	35	37→45	55→50	47	170/258/247	77	249	3	11	30%	9%	47	-2.6	192/268/269	77	260	3	14	25%	8%	55	-2.0	163/244/219	56	209	0	27	20%	7%	32	-0.9
✕Alfredo González 2012 · A	20	36	36→30	47→45	38	174/218/242	68	245	2	8	29%	5%	28	-3.9	194/246/266	72	256	4	10	25%	5%	45	-2.7	232/294/283	50	313	3	6	25%	7%	64	-0.5
✕Deivis Nadal 2022 · A	20	39	35→40	46→55	38	185/249/239	55	271	3	11	31%	5%	41	-3.0	170/249/254	84	310	6	18	43%	8%	45	-2.7	140/228/232	93	275	7	23	47%	9%	30	-1.5
✕Daniel Vellojin 2019 · A	19	39	39→45	47→45	48	189/268/273	83	260	6	6	28%	9%	56	-1.9	213/303/311	98	271	7	8	22%	10%	78	-0.3	194/297/306	112	259	11	6	27%	12%	72	-0.3
✕Shane Mardirosian 2016 · A	20	42→40	37→40	50→45	39	199/247/278	79	276	4	13	28%	5%	48	-2.5	198/248/267	69	278	4	8	29%	5%	46	-2.6	190/242/254	64	264	4	7	28%	5%	39	-1.6
✕Omar Alfonzo 2023 · A	19	36→40	37→45	48→40	48	173/263/240	67	258	5	3	32%	10%	47	-2.5	205/289/309	104	317	11	4	35%	10%	72	-0.7	200/285/310	110	312	13	2	37%	10%	69	-0.6
✕Aramis Ademan 2019 · A	20	38→36	37→30	47→50	40	185/238/254	69	251	5	10	28%	5%	39	-3.1	193/250/277	84	273	6	12	30%	6%	49	-2.4	178/240/264	86	253	6	15	31%	6%	40	-2.2
✕Kleiber Rodriguez 2018 · A	19	37	35→30	46→40	46	175/250/234	59	244	2	5	27%	8%	40	-3.0	219/280/288	69	282	3	5	21%	7%	63	-1.4	240/298/301	61	284	2	4	15%	8%	71	-0.4
✕Raudelis Martinez 2022 · A	20	36	38→30	44→45	44	178/240/255	77	234	7	7	26%	7%	41	-3.0	189/265/278	89	233	7	8	21%	8%	56	-1.9	175/246/238	64	210	6	6	19%	8%	39	-1.5
✕Yohairo Cuevas 2023 · A	19	41→38	37→40	49→50	44	190/267/265	75	303	4	9	36%	9%	53	-2.1	194/280/281	87	310	5	14	35%	10%	63	-1.4	189/288/270	81	300	4	18	34%	11%	62	-0.8
✕Ricardo Andujar 2013 · A	20	42→45	35→30	48→50	46	195/275/255	60	279	2	9	29%	8%	54	-2.0	209/276/266	57	275	1	11	22%	8%	56	-1.9	225/269/285	60	297	2	12	24%	5%	54	-1.1
✕Varonex Cuevas 2012 · A	20	37	34→30	45→50	46	176/250/229	54	252	2	9	29%	9%	38	-3.2	202/263/262	60	274	2	12	25%	7%	51	-2.3	200/265/251	51	265	1	15	23%	8%	46	-0.9
✕Leandro Pineda 2022 · A	20	35→45	37→45	43→45	46	171/257/239	68	251	4	7	31%	9%	45	-2.7	189/259/292	103	281	8	5	33%	7%	57	-1.8	210/283/339	129	268	13	5	26%	7%	74	-0.4

Career Stats + Projections

Career Comps

Career Path Comps