Darlyn De Leon — OGILVIE

Darlyn De Leon2B Myrtle Beach Pelicans

Age 21 L/R 5'9" / 150 lbs A HR -8% Svc 0.0 · Ctrl thru 2036

2026 ROS PROJECTION237 act + 22 ros · stats below = ROS only

showingROS

wRC+†64

AVG/OBP/SLG.200 / .273 / .250

PA22

HR0

K%27

BB%9

BABIP269

ISO50

MLB%0%

Value2026 · WAR

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

Tools · ContractCON 40 / POW 42

Toolsscout grade

CONTACT40

scouting grade only

POWER42

scouting grade only

EYE52

scouting grade only

SPEED65

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	+0.2	$0.5M	+$0.0M
2032	Pre-Arb	$0.9M	+0.2	$0.5M	+$0.0M
2033	Pre-Arb	$1.0M	+0.1	$0.2M	+$0.0M (cut)
2034	Arb-1	$0.8M	—	—	—
2035	Arb-2	$0.7M	—	—	—
2036	Ext	beyond projection horizon · no WAR estimate
Totals		$2M		$1M	+$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)
2022	17	ROK	DSL Cubs Red	—	171	143	28	2	3	0	22	40	5	15	2	196	324	252	575	56	269	23	13	276	73	-5	+2	—	—	+4	0.0
2023	18	ROK	DSL Cubs Blue	—	120	94	21	0	4	0	17	24	7	11	4	223	381	309	690	85	292	20	14	324	105	+1	+1	—	—	+3	0.4
2024	19	ROK	DSL Cubs Blue	—	138	114	35	6	2	0	22	25	2	24	7	307	428	395	822	88	393	18	16	378	142	+7	+2	—	—	+3	1.2
2025	20	ROK	ACL Cubs	—	108	93	26	5	2	4	10	24	3	6	2	280	368	505	873	226	328	22	9	377	141	+5	+0	—	—	+2	0.8
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2022	17	ROK MLE	DSL Cubs Red	—	171	152	20	1	2	0	13	60	5	15	2	132	224	164	388	33	211	35	8	183	10	-18	+2	—	—	+4	-1.3
2023	18	ROK MLE	DSL Cubs Blue	—	120	101	17	0	3	0	10	34	7	11	4	168	288	228	516	59	227	28	8	229	41	-8	+1	—	—	+3	-0.5
2024	19	ROK MLE	DSL Cubs Blue	—	138	122	26	4	1	0	14	37	2	24	7	213	304	262	567	49	308	27	10	264	65	-6	+2	—	—	+3	-0.1
2025	20	ROK MLE	ACL Cubs	—	108	97	19	3	1	3	6	36	3	6	2	196	264	340	604	144	259	33	6	273	71	-4	+0	—	—	+2	-0.1
2022	17	ROK MLE	DSL Cubs Red	—	171	152	20	1	2	0	13	60	5	15	2	132	224	164	388	33	215	35	8	183	10	—	—	—	—	—	—
2022	17	ROK RAW	DSL Cubs Red	—	171	143	28	2	3	0	22	40	5	15	2	196	324	252	575	56	269	23	13	276	10	—	—	—	—	—	—
2023	18	ROK MLE	DSL Cubs Blue	—	120	101	17	0	3	0	10	34	7	11	4	168	288	228	516	59	246	28	8	229	41	—	—	—	—	—	—
2023	18	ROK RAW	DSL Cubs Blue	—	120	94	21	0	4	0	17	24	7	11	4	223	381	309	690	85	292	20	14	324	41	—	—	—	—	—	—
2024	19	ROK MLE	DSL Cubs Blue	—	138	122	26	4	1	0	14	37	2	24	7	213	304	262	567	49	306	27	10	264	65	—	—	—	—	—	—
2024	19	ROK RAW	DSL Cubs Blue	—	138	114	35	6	2	0	22	25	2	24	7	307	428	395	822	88	393	18	16	378	65	—	—	—	—	—	—
2025	20	ROK MLE	ACL Cubs	—	108	97	19	3	1	3	6	36	3	6	2	196	264	340	604	144	267	33	6	273	71	—	—	—	—	—	—
2025	20	ROK RAW	ACL Cubs	—	108	93	26	5	2	4	10	24	3	6	2	280	368	505	873	226	328	22	9	377	71	—	—	—	—	—	—
2022	17	ROK MLE	DSL Cubs Red	—	171	151	20	1	2	0	13	60	5	15	2	132	224	166	389	33	211	35	8	183	10	—	—	—	—	—	—
2023	18	ROK MLE	DSL Cubs Blue	—	120	102	17	0	3	0	10	34	7	11	4	167	288	225	514	59	227	28	8	229	41	—	—	—	—	—	—
2024	19	ROK MLE	DSL Cubs Blue	—	138	121	26	4	1	0	14	37	2	24	7	215	304	264	569	50	308	27	10	264	65	—	—	—	—	—	—
2025	20	ROK MLE	ACL Cubs	—	108	98	19	3	1	3	6	36	3	6	2	194	264	337	601	143	259	33	6	273	71	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	18	ROK MLE	DSL Cubs Blue	—	120	102	17	0	3	0	10	34	7	11	4	167	288	225	514	59	227	28	8	229	41	—	—	—	—	—	—
2024	19	ROK MLE	DSL Cubs Blue	—	138	121	26	4	1	0	14	37	2	24	7	215	304	264	569	50	308	27	10	264	65	—	—	—	—	—	—
2025	20	ROK MLE	ACL Cubs	—	108	98	19	3	1	3	6	36	3	6	2	194	264	337	601	143	259	33	6	273	71	—	—	—	—	—	—
YTD	21	A MLE	CHC	—	237	216	39	5	1	3	16	71	2	15	3	181	244	255	498	74	248	30	7	231	42	-16	+2	+0	+1	+5	-0.9
▸ 2026 season
YTD	21	A RAW	CHC	—	237	207	47	7	2	4	25	50	2	15	3	227	316	338	654	111	276	21	11	296	42	—	—	—	—	—	—
ROS	21	A MLE	CHC	0%	22	20	4	1	0	0	2	6	0	1	0	200	273	250	523	50	267	27	9	262	64	-1	+0	+0	+0	+0	-0.0
TOT	21	A MLE	CHC	—	259	236	43	6	1	3	18	77	2	16	3	182	246	254	500	72	252	30	7	234	44	-17	+2	+0	+1	+6	-0.9
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	22	MLB MLE	CHC	34%	275	250	54	10	2	5	20	68	3	8	2	216	282	332	614	116	272	25	7	276	73	-9	+1	+0	+1	+6	-0.1
2028	23	MLB MLE	CHC	48%	369	335	73	13	2	8	27	90	4	10	2	218	284	340	624	122	274	24	7	283	78	-10	+1	+0	+1	+8	0.1
2029	24	MLB MLE	CHC	53%	431	391	88	16	3	10	32	104	5	12	3	225	292	358	650	133	276	24	7	287	81	-10	+1	+0	+2	+9	0.2
2030	25	MLB MLE	CHC	55%	464	421	95	17	3	11	35	111	5	13	3	226	293	359	652	133	277	24	8	290	82	-10	+1	+0	+2	+10	0.3
2031	26	MLB MLE	CHC	56%	483	438	97	17	3	11	37	116	5	13	3	221	290	349	639	128	276	24	8	290	82	-10	+1	+0	+2	+10	0.4
2032	27	MLB MLE	CHC	55%	489	443	99	18	3	11	38	118	5	14	3	223	292	352	644	129	276	24	8	290	82	-10	+2	+0	+2	+11	0.4
2033	28	MLB MLE	CHC	55%	488	442	98	17	3	11	38	118	5	13	3	222	291	348	639	127	276	24	8	289	82	-11	+1	-1	+2	+11	0.2
2034	29	MLB MLE	CHC	53%	481	435	96	17	3	11	38	118	5	12	3	221	291	349	640	129	275	25	8	287	80	-11	+1	-1	+2	+10	0.1
2035	30	MLB MLE	CHC	57%	472	427	93	16	3	10	37	116	5	12	3	218	288	340	627	122	274	25	8	284	79	-12	+1	-2	+2	+10	-0.1
2027	22	MLB CTX	CHC	34%	94	86	19	3	1	2	7	23	1	3	1	221	287	349	636	128	274	24	7	269	73	-3	+0	+0	+0	+2	-0.0
2028	23	MLB CTX	CHC	48%	179	162	36	6	1	4	13	44	2	5	1	222	288	346	634	123	277	25	7	276	78	-5	+1	+0	+1	+4	0.0
2029	24	MLB CTX	CHC	53%	227	206	46	8	2	5	17	55	2	6	1	223	289	354	643	131	278	24	7	280	81	-5	+1	+0	+1	+5	0.1
2030	25	MLB CTX	CHC	55%	254	230	52	9	2	6	19	61	3	7	2	226	294	361	655	135	279	24	7	282	82	-5	+1	+0	+1	+6	0.2
2031	26	MLB CTX	CHC	56%	269	243	55	10	2	6	21	65	3	7	2	226	296	358	654	132	278	24	8	283	82	-6	+1	+0	+1	+6	0.2
2032	27	MLB CTX	CHC	55%	269	243	55	10	2	6	21	65	3	7	2	226	296	358	654	132	278	24	8	283	82	-6	+1	+0	+1	+6	0.2
2033	28	MLB CTX	CHC	55%	267	241	55	10	2	6	21	65	3	7	2	228	298	361	659	133	278	24	8	282	82	-6	+1	-0	+1	+6	0.1
2034	29	MLB CTX	CHC	53%	257	232	52	9	2	6	20	63	3	7	2	224	294	358	652	134	277	25	8	280	80	-6	+1	-1	+1	+6	0.0
2035	30	MLB CTX	CHC	57%	269	243	53	9	2	6	21	66	3	7	2	218	288	346	634	128	275	25	8	277	79	-7	+1	-1	+1	+6	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2085	1886	423	74	16	47	160	507	23	56	15	224	293	355	648	131	281	24	8	280	76	-48	+5	-2	+7	+45	0.7
/ 162G	—	A+C		—	650	588	132	23	5	15	50	158	7	17	5	224	293	357	650	133	281	24	8	280	76	-15	+2	-1	+2	+14	0.2
Career	—	MLE		—	4511	4074	879	150	32	91	347	1132	59	164	40	216	287	335	622	120	274	25	8	280	76	-94	+12	-4	+14	+86	1.4
/ 162G	—	MLE		—	650	587	127	22	5	13	50	163	9	24	6	216	288	337	625	121	275	25	8	280	76	-15	+2	-1	+2	+14	0.2

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Gordon Beckhamlast yr '19 career totals — 10 seasons, 3,764 PA	5.7	3,764	80	34	237	301	368	+13	+19	8.2	8.4
/162	664	14	6	+2.4	+3.4	1.4	pk7: 9
#2Chris Owingslast yr '22 career totals — 9 seasons, 2,420 PA	3.6	2,420	35	78	239	286	365	+13	-0	3.7	4.5
/162	664	10	21	+3.6	-0.1	1.0	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
#5Adam 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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 6 projected seasons	3.4	2,230	49	60	223	288	349	+8	+6	2.4	2.3
/162	664	15	18	+2.4	+1.8	0.7	pk7: 2
#6Nick 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

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
Darlyn De Leon (OGILVIE)	21	35→40	37→42	60→65	52	205/269/303	98	267	2	6	26%	7%	64	-0.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Hoy Park 2017 · A	21	40→49	38→45	59→55	46	192/267/282	90	275	4	17	30%	8%	57	-1.8	216/291/301	85	288	6	17	25%	9%	70	-0.8	228/317/324	96	297	8	17	24%	11%	83	+0.0
✕Eddinson Paulino 2023 · A	21	43→40	46→45	56→50	44	213/280/360	147	287	12	14	29%	8%	80	-0.2	202/260/324	122	280	11	15	30%	6%	64	-1.3	187/244/301	115	257	12	15	31%	6%	50	-1.5
✕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
✕Juan Mora 2021 · A	21	43	42→45	53→55	49	209/289/317	108	255	9	14	21%	8%	74	-0.5	227/292/341	114	308	10	10	28%	6%	80	-0.1	222/278/328	106	295	10	8	27%	5%	70	-0.4
✕Evan Van Hoosier 2015 · A	21	46→47	44→50	56→50	44	227/279/354	127	284	10	10	23%	6%	78	-0.3	229/273/336	107	306	6	9	26%	5%	70	-0.8	232/274/341	110	322	5	10	28%	4%	70	-0.3
✕Francisco Santana 2010 · A	22	43	42→50	57→55	43	212/261/324	112	266	9	13	24%	6%	63	-1.3	196/233/289	93	282	6	8	31%	4%	45	-2.7	161/180/254	93	230	6	6	32%	2%	13	-1.6
✕Victor Scott II 2023 · A	22	44→54	44→40	58→65	51	211/296/334	123	285	10	19	28%	10%	80	-0.1	223/284/317	94	282	7	44	22%	6%	71	-0.8	218/282/304	85	275	7	49	22%	6%	66	-1.0
✕Cayden Wallace 2023 · A	21	46→48	42→50	56→50	42	223/275/338	115	301	9	15	28%	6%	72	-0.7	214/270/329	115	284	10	12	27%	6%	69	-0.9	226/275/366	139	277	16	14	24%	5%	77	-0.3
✕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
✕Tsung-Che Cheng 2023 · A	22	48→47	42→45	57→55	51	226/308/340	115	305	8	21	27%	10%	86	+0.3	213/278/323	110	288	9	18	27%	8%	70	-0.8	202/266/301	99	273	8	19	28%	7%	58	-1.4
✕Brainer Bonaci 2023 · A	21	43→44	40→45	55→50	50	207/291/305	98	286	7	16	28%	10%	72	-0.7	224/282/341	117	311	12	11	30%	7%	76	-0.4	229/272/354	124	311	15	8	31%	6%	72	-0.4
✕Adonis Pacheco 2013 · A	22	45	39→50	57→55	45	213/271/312	99	277	4	16	24%	7%	65	-1.2	204/258/296	92	260	5	11	22%	6%	56	-1.9	160/206/240	80	191	3	9	17%	6%	22	-1.2
✕Geraldo Quintero 2023 · A	21	44→46	41→40	55→60	45	214/280/320	106	278	7	20	25%	7%	70	-0.8	213/281/300	87	282	6	26	25%	7%	66	-1.1	204/276/285	81	269	7	32	25%	8%	59	-1.1
✕Roberto Caro 2015 · A	21	45→41	38→40	63→60	49	212/292/308	96	281	3	21	24%	9%	72	-0.7	202/272/280	78	301	2	16	31%	8%	58	-1.7	215/287/293	78	329	2	26	32%	8%	65	-0.6
✕Ricardo Méndez 2021 · A	21	44	39→45	54→50	40	207/265/294	88	309	7	13	34%	7%	59	-1.7	216/259/313	97	318	7	13	32%	5%	61	-1.5	212/254/305	93	308	6	14	32%	5%	53	-1.2
✕Chris Pieters 2017 · A	22	48	39→45	54→55	49	226/307/315	88	296	6	17	24%	8%	80	-0.2	207/265/296	89	292	5	12	29%	6%	59	-1.7	197/253/289	92	277	5	13	29%	6%	51	-0.8
✕Loidel Chapelli 2023 · A	21	47→38	47→45	55	50	235/301/382	148	274	14	11	20%	8%	93	+0.8	199/271/299	100	302	8	17	34%	8%	63	-1.4	183/258/273	90	287	7	21	36%	8%	50	-1.5
✕Travis Blankenhorn 2018 · A	21	41→44	45→50	55→50	39	205/268/336	130	291	12	8	32%	6%	70	-0.8	208/257/336	128	292	13	8	32%	5%	66	-1.1	205/278/354	149	273	18	6	31%	8%	75	-0.3
✕Jett Williams 2023 · A	19	45→44	41→45	56→55	44	216/286/317	101	287	8	14	26%	7%	73	-0.6	206/315/327	121	297	9	23	30%	12%	86	+0.3	203/309/335	132	285	10	26	29%	12%	83	+0.1
✕Nicky Lopez 2017 · A	22	47→57	42→40	57→55	51	229/304/337	108	264	10	17	17%	8%	84	+0.1	252/304/335	83	284	5	13	13%	6%	82	-0.0	264/325/345	82	303	4	14	13%	8%	90	+0.4

Career Stats + Projections

Career Comps

Career Path Comps