Luis Leon — OGILVIE

Luis LeonOF DSL Cubs Red

Age 18 R/R 5'10" / 134 lbs ROK Svc 0.0 · Ctrl thru 2037

2026 ROS PROJECTION78 act + 10 ros · stats below = ROS only

showingROS

wRC+74

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

PA10

HR0

K%20

BB%10

BABIP289

ISO107

MLB%0%

Value2026 · WAR

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

Tools · ContractCON 53 / POW 44

Toolsscout grade

CONTACT53

scouting grade only

POWER44

scouting grade only

EYE46

scouting grade only

SPEED63

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	+0.3	$0.8M	+$0.3M
2033	Pre-Arb	$1.0M	+0.3	$0.7M	+$0.2M
2034	Pre-Arb	$1.0M	+0.3	$0.7M	+$0.2M
2035	Arb-1	$2M	+0.3	$0.6M	+$0.0M (cut)
2036	Arb-2	$3M	+0.2	$0.4M	+$0.0M (cut)
2037	Arb-3	$3M	+0.1	$0.2M	+$0.0M (cut)
Totals		$3M		$3M	+$0.7M

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 Cubs Red	—	137	121	30	8	0	4	12	22	4	12	4	248	336	413	749	165	274	16	9	337	114	+2	+1	—	—	+3	0.6
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	17	ROK MLE	DSL Cubs Red	—	137	126	22	5	0	3	7	33	4	12	4	175	241	286	527	111	216	24	5	241	49	-8	+1	—	—	+3	-0.5
2025	17	ROK MLE	DSL Cubs Red	—	137	126	22	5	0	3	7	33	4	12	4	175	241	286	527	111	211	24	5	241	49	—	—	—	—	—	—
2025	17	ROK RAW	DSL Cubs Red	—	137	121	30	8	0	4	12	22	4	12	4	248	336	413	749	165	274	16	9	337	49	—	—	—	—	—	—
2025	17	ROK MLE	DSL Cubs Red	—	137	125	22	5	0	3	7	33	4	12	4	176	241	288	529	112	216	24	5	241	49	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2025	17	ROK MLE	DSL Cubs Red	—	137	125	22	5	0	3	7	33	4	12	4	176	241	288	529	112	216	24	5	241	49	—	—	—	—	—	—
YTD	18	ROK MLE	DSL Cubs Red	—	78	69	15	4	0	0	5	17	3	7	3	217	299	275	574	58	283	22	6	245	52	-4	+0	+0	-0	+2	-0.3
▸ 2026 season
YTD	18	ROK RAW	DSL Cubs Red	—	78	66	18	5	0	0	8	12	3	7	3	273	377	348	725	76	327	15	10	333	52	—	—	—	—	—	—
ROS	18	ROK MLE	—	0%	10	9	1	0	0	0	1	2	0	0	0	111	200	111	311		289	20	10	277	74	-0	+0	+0	-0	+0	-0.0
TOT	18	ROK MLE	—	—	88	78	16	4	0	0	6	19	3	7	3	205	287	256	544	51	267	22	7	249	54	-5	+0	+0	-1	+2	-0.3
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	19	MLB MLE	—	34%	204	184	41	8	1	3	14	49	4	5	1	223	292	326	618	103	289	24	7	284	79	-5	+1	+0	-1	+4	-0.1
2028	20	MLB MLE	—	48%	341	309	71	14	2	6	23	81	6	9	2	230	296	346	642	117	291	24	7	291	83	-7	+1	+0	-2	+7	-0.0
2029	21	MLB MLE	—	54%	444	402	93	18	2	9	31	104	8	12	3	231	299	353	653	122	292	23	7	296	87	-7	+1	+0	-3	+10	0.1
2030	22	MLB MLE	—	57%	517	465	111	22	3	11	37	121	10	14	3	239	309	370	678	131	292	23	7	299	89	-7	+2	+0	-3	+11	0.3
2031	23	MLB MLE	—	58%	567	511	122	24	3	12	41	132	10	15	4	239	308	368	676	129	293	23	7	301	90	-7	+1	+0	-3	+12	0.4
2032	24	MLB MLE	—	57%	599	540	129	25	3	13	43	139	11	16	4	239	308	369	677	130	294	23	7	302	91	-7	+2	+0	-4	+13	0.5
2033	25	MLB MLE	—	57%	618	557	132	26	3	13	44	143	12	16	4	237	307	364	671	127	294	23	7	303	91	-6	+2	+0	-4	+13	0.5
2034	26	MLB MLE	—	57%	627	565	135	26	3	14	45	145	12	17	4	239	309	370	679	131	294	23	7	303	91	-6	+2	+0	-4	+14	0.5
2035	27	MLB MLE	—	55%	628	565	134	26	3	14	46	146	12	17	4	237	308	368	676	131	294	23	7	303	91	-6	+2	+0	-4	+14	0.5
2036	28	MLB MLE	—	55%	624	561	133	26	3	13	46	146	12	16	4	237	309	364	672	127	293	23	7	302	91	-7	+2	-1	-4	+14	0.4
2037	29	MLB MLE	—	53%	615	553	130	25	3	13	46	145	11	15	4	235	307	362	668	127	292	24	7	300	89	-8	+1	-1	-4	+13	0.2
2038	30	MLB MLE	—	53%	604	543	127	25	3	12	45	144	11	15	4	234	306	357	663	123	291	24	7	297	87	-9	+1	-2	-4	+13	-0.0
2027	19	MLB CTX	—	34%	70	64	14	3	0	1	5	17	1	2	0	219	286	312	598	94	289	24	7	284	79	-2	+0	+0	-0	+2	-0.0
2028	20	MLB CTX	—	48%	165	150	35	7	1	3	11	39	3	4	1	233	299	353	652	120	291	24	7	291	83	-3	+0	+0	-1	+4	-0.0
2029	21	MLB CTX	—	54%	241	218	51	10	1	5	17	57	4	6	2	234	301	358	659	124	292	24	7	296	87	-4	+0	+0	-1	+5	0.0
2030	22	MLB CTX	—	57%	293	265	62	12	1	6	21	68	5	8	2	234	302	355	657	121	292	23	7	299	89	-4	+1	+0	-2	+6	0.1
2031	23	MLB CTX	—	58%	326	294	70	14	2	7	23	76	6	9	2	238	307	371	677	133	293	23	7	301	90	-4	+1	+0	-2	+7	0.2
2032	24	MLB CTX	—	57%	341	308	73	14	2	7	24	79	6	9	2	237	305	364	668	127	294	23	7	302	91	-4	+1	+0	-2	+7	0.3
2033	25	MLB CTX	—	57%	351	316	76	15	2	8	25	81	7	9	2	241	310	377	687	136	294	23	7	303	91	-4	+1	+0	-2	+8	0.3
2034	26	MLB CTX	—	57%	355	319	77	15	2	8	26	82	7	9	2	241	312	376	689	135	294	23	7	303	91	-4	+1	+0	-2	+8	0.3
2035	27	MLB CTX	—	55%	348	312	76	15	2	8	26	81	7	9	2	244	316	381	697	138	294	23	7	303	91	-4	+1	+0	-2	+8	0.3
2036	28	MLB CTX	—	55%	343	309	73	14	2	7	25	80	6	9	2	236	306	362	668	126	293	23	7	302	91	-4	+1	-0	-2	+7	0.2
2037	29	MLB CTX	—	53%	329	295	70	14	1	7	25	77	6	8	2	237	310	363	673	125	292	23	8	300	89	-4	+1	-1	-2	+7	0.1
2038	30	MLB CTX	—	53%	318	285	66	13	1	6	24	76	6	8	2	232	305	347	652	116	291	24	8	297	87	-5	+1	-1	-2	+7	-0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	3480	3135	743	146	17	73	252	813	64	90	21	237	307	364	671	127	295	23	7	300	88	-44	+10	-2	-21	+75	1.8
/ 162G	—	A+C		—	650	586	139	27	3	14	47	152	12	17	4	237	307	365	673	128	295	23	7	300	88	-8	+2	-0	-4	+14	0.3
Career	—	MLE		—	6535	5890	1381	270	32	136	469	1530	123	179	45	234	304	360	665	126	293	23	7	299	88	-83	+17	-4	-38	+139	3.1
/ 162G	—	MLE		—	650	586	138	27	3	14	47	152	12	18	4	235	305	363	669	128	293	23	7	299	88	-8	+2	-0	-4	+14	0.3

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
#3Desmond Jenningslast yr '16 career totals — 6 seasons, 2,327 PA	3.5	2,327	55	93	245	323	394	-9	+10	8.1	8.1
/162	664	16	27	-2.5	+2.7	2.3	pk7: 8
#4Michael 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
#5Gregory 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
#6Dustin 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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 7 projected seasons	5.4	3,594	74	93	237	303	363	-22	+0	4.0	3.6
/162	664	14	17	-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
Luis Leon (OGILVIE)	18	48→53	39→44	58→63	46	222/286/322	100	289	2	4	25%	6%	74	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Dorssys Paulino 2013 · A	18	49	46→45	56→45	41	239/280/379	140	303	12	11	25%	5%	83	+0.1	216/258/311	95	287	6	8	26%	5%	59	-1.6	236/290/340	105	311	9	8	26%	6%	76	-0.3
✕Luis Matos 2021 · A	19	50→55	43→50	53→50	45	244/303/364	121	284	10	14	18%	5%	89	+0.5	232/275/353	121	268	12	13	18%	5%	76	-0.4	237/289/389	152	247	18	13	13%	6%	88	+0.4
✕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
✕Jose Escobar 2023 · A	18	45→55	43→45	57→45	40	220/270/339	119	285	9	15	26%	5%	71	-0.8	223/290/326	103	293	9	12	26%	7%	76	-0.4	233/299/331	99	302	8	8	24%	7%	78	-0.2
✕Victor Robles 2015 · A	18	49→52	41→50	53→60	44	231/298/338	107	281	6	19	20%	5%	82	-0.0	241/310/357	116	299	8	22	21%	5%	91	+0.6	246/315/392	146	305	12	27	22%	6%	97	+0.9
✕Masyn Winn 2022 · A	20	42→52	39→50	57→55	42	201/259/292	90	285	6	22	30%	7%	56	-1.9	230/286/359	129	289	11	21	23%	7%	82	-0.0	252/312/373	121	300	11	11	19%	7%	93	+0.8
●Gabriel Gonzalez 2022 · A	18	43→53	46→50	51→45	43	216/277/350	134	270	12	10	25%	6%	77	-0.3	235/294/358	123	286	13	8	22%	5%	85	+0.2	253/307/381	128	303	13	6	20%	5%	92	+0.6
✕Gorkys Hernández 2007 · A	19	49→57	41→45	54→55	41	239/268/338	99	285	9	17	20%	4%	69	-0.9	247/287/331	84	313	5	22	21%	5%	75	-0.5	256/315/372	117	316	11	16	22%	7%	91	+0.5
✕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 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
●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
●Moisés Sierra 2007 · A	18	42→52	39→50	52→50	42	203/266/292	89	271	6	13	26%	6%	59	-1.6	205/253/299	94	283	8	9	29%	4%	55	-1.9	249/315/369	120	307	12	15	22%	7%	92	+0.6
✕Ronarsy Ledesma 2011 · A	18	44	44→45	53→50	41	217/277/335	118	288	11	9	28%	6%	73	-0.6	219/286/320	101	286	6	11	24%	6%	73	-0.6	226/280/337	111	291	6	11	23%	4%	73	-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
✕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
✕Derek Hill 2015 · A	19	41→51	40→55	55→60	47	200/269/291	91	259	7	13	25%	8%	60	-1.6	202/254/274	72	296	2	25	30%	6%	49	-2.4	242/294/410	167	331	20	27	32%	6%	94	+0.4
✕Angel Genao 2022 · A	18	45→55	37→45	59→50	55	210/300/285	75	272	4	16	22%	11%	70	-0.8	230/288/322	92	306	6	11	25%	7%	74	-0.6	262/318/385	123	318	10	13	20%	7%	97	+0.9
✕Manuel Margot 2014 · A	19	45→52	40→50	56→60	51	215/281/308	93	243	6	19	14%	7%	68	-1.0	238/280/352	114	273	8	27	16%	5%	77	-0.3	245/302/387	142	288	13	20	19%	7%	91	+0.5
●Leandro Castro 2008 · A	19	43→53	42→50	53→50	44	212/271/311	99	261	10	18	23%	6%	65	-1.2	211/250/308	97	266	8	14	23%	4%	56	-1.9	244/286/386	143	268	16	11	16%	5%	85	+0.2
✕Jose Tabata 2007 · A	18	52→61	40→45	51→55	43	249/302/344	96	311	7	16	22%	6%	84	+0.2	258/307/344	86	320	6	14	20%	5%	86	+0.3	278/334/376	98	321	6	26	14%	7%	101	+1.2

Career Stats + Projections

Career Comps

Career Path Comps