Edgar Lugo — OGILVIE

Edgar LugoSS DSL Tigers 2

Age 21 S/R 5'9" / 170 lbs ROK Svc 0.0 · Ctrl thru 2037

2026 ROS PROJECTION162 act + 15 ros · stats below = ROS only

showingROS

wRC+63

AVG/OBP/SLG.214 / .267 / .286

PA15

HR0

K%20

BB%7

BABIP263

ISO71

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$11M ctrl surplus

Tools · ContractCON 60 / POW 20

Toolsscout grade

CONTACT60

scouting grade only

POWER20

scouting grade only

EYE20

scouting grade only

SPEED50

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	+0.2	$0.4M	+$0.0M
2035	Arb-1	$1M	+0.1	$0.2M	+$0.0M (cut)
2036	Ext	beyond projection horizon · no WAR estimate
2037	Ext	beyond projection horizon · no WAR estimate
Totals		$3M		$2M	+$0.5M

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)
2024	19	ROK	DSL Tigers 2	—	142	121	33	11	1	3	18	25	2	5	2	273	376	455	830	182	323	18	13	368	135	+6	+0	—	—	+3	0.9
2024	19	INTL	Mayos de Navojoa	—	22	20	3	0	0	0	2	6	0	0	0	150	227	150	377		214	27	9	187	13	-2	+0	—	—	+0	-0.2
2025	20	ROK	DSL Tigers 2	—	152	135	44	7	0	1	9	18	4	8	5	326	383	400	783	74	364	12	6	348	122	+4	-0	—	—	+3	0.7
2025	20	INTL	Tucson Baseball Team	—	126	111	25	4	0	0	8	20	0	3	3	225	277	261	539	36	275	16	6	236	46	-8	-1	—	—	+3	-0.6
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	19	ROK MLE	DSL Tigers 2	—	142	127	25	8	1	2	12	36	2	5	2	197	277	323	599	126	241	25	8	253	57	-7	+0	—	—	+3	-0.4
2025	20	ROK MLE	DSL Tigers 2	—	152	139	35	5	0	1	6	26	4	8	5	252	302	309	611	58	293	17	4	266	66	-6	-0	—	—	+3	-0.3
2024	19	ROK MLE	2 teams	—	164	148	29	9	1	3	13	42	2	5	2	196	270	331	601	135	252	26	8	253	57	—	—	—	—	—	—
2024	19	ROK RAW	2 teams	—	164	141	36	11	1	3	20	31	2	5	2	255	356	411	767	156	308	19	12	344	57	—	—	—	—	—	—
2025	20	ROK MLE	2 teams	—	278	253	65	10	0	1	11	48	4	11	8	257	299	308	607	51	311	17	4	266	66	—	—	—	—	—	—
2025	20	ROK RAW	2 teams	—	278	246	69	11	0	1	17	38	4	11	8	280	336	337	673	57	325	14	6	297	66	—	—	—	—	—	—
2024	19	ROK MLE	2 teams	—	164	148	29	9	1	3	13	42	2	5	2	196	270	331	601	135	241	26	8	253	57	—	—	—	—	—	—
2025	20	ROK MLE	2 teams	—	278	261	65	10	0	1	11	48	4	11	8	249	299	299	597	50	293	17	4	266	66	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2024	19	ROK MLE	2 teams	—	164	148	29	9	1	3	13	42	2	5	2	196	270	331	601	135	241	26	8	253	57	—	—	—	—	—	—
2025	20	ROK MLE	2 teams	—	278	261	65	10	0	1	11	48	4	11	8	249	299	299	597	50	293	17	4	266	66	—	—	—	—	—	—
YTD	21	ROK MLE	DSL Tigers 2	—	162	143	24	6	0	2	13	27	5	16	3	168	261	252	513	84	193	17	8	227	40	-12	+2	+0	+2	+4	-0.4
▸ 2026 season
YTD	21	ROK RAW	DSL Tigers 2	—	162	135	31	9	0	2	21	19	5	16	3	230	354	341	695	111	254	12	13	322	40	—	—	—	—	—	—
ROS	21	ROK MLE	—	0%	15	14	3	1	0	0	1	3	0	1	0	214	267	286	552	71	263	20	7	262	63	-1	+0	+0	+0	+0	0.0
TOT	21	ROK MLE	—	—	177	157	27	7	0	2	14	30	5	17	3	172	261	255	516	83	200	17	8	230	42	-12	+2	+0	+2	+4	-0.4
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	22	MLB MLE	—	34%	218	198	43	9	1	3	15	47	3	5	1	217	282	318	601	101	268	22	7	272	70	-8	+1	+0	+2	+5	-0.0
2028	23	MLB MLE	—	48%	327	297	66	14	2	5	22	70	5	7	2	222	287	333	620	111	270	21	7	279	75	-10	+1	+0	+4	+7	0.2
2029	24	MLB MLE	—	53%	403	366	82	17	2	7	28	86	6	8	2	224	290	339	629	115	272	21	7	284	78	-10	+1	+0	+4	+9	0.4
2030	25	MLB MLE	—	55%	446	405	91	19	2	8	32	95	6	9	2	225	291	341	632	116	273	21	7	286	80	-11	+1	+0	+5	+10	0.5
2031	26	MLB MLE	—	56%	472	428	97	20	2	9	34	100	7	9	2	227	294	346	640	119	273	21	7	287	80	-11	+1	+0	+5	+10	0.5
2032	27	MLB MLE	—	55%	483	438	98	20	2	9	35	103	7	9	2	224	292	340	632	116	272	21	7	287	81	-11	+1	+0	+5	+10	0.6
2033	28	MLB MLE	—	55%	486	440	98	20	2	9	36	104	7	9	2	223	292	339	631	116	272	21	7	287	80	-12	+1	-1	+5	+11	0.5
2034	29	MLB MLE	—	53%	480	435	97	20	2	9	35	104	7	9	2	223	291	340	632	117	272	22	7	285	79	-12	+1	-1	+5	+10	0.3
2035	30	MLB MLE	—	53%	473	428	94	19	2	8	35	104	7	8	2	220	289	329	619	110	271	22	7	282	77	-13	+1	-2	+5	+10	0.1
2027	22	MLB CTX	—	34%	75	69	14	3	0	1	5	16	1	2	0	203	267	290	557	87	268	21	7	272	70	-3	+0	+0	+1	+2	0.0
2028	23	MLB CTX	—	48%	158	144	33	7	1	3	11	34	2	3	1	229	293	354	647	125	270	22	7	279	75	-5	+0	+0	+2	+3	0.1
2029	24	MLB CTX	—	53%	212	192	44	9	1	4	15	45	3	4	1	229	295	349	644	120	272	21	7	284	78	-5	+0	+0	+2	+5	0.2
2030	25	MLB CTX	—	55%	244	221	50	10	1	5	17	52	4	5	1	226	293	348	642	122	273	21	7	286	80	-6	+1	+0	+3	+5	0.3
2031	26	MLB CTX	—	56%	263	238	54	11	1	5	19	56	4	5	1	227	295	345	640	118	273	21	7	287	80	-6	+1	+0	+3	+6	0.3
2032	27	MLB CTX	—	55%	266	241	54	11	1	5	19	57	4	5	1	224	292	340	632	116	272	21	7	287	81	-6	+1	+0	+3	+6	0.3
2033	28	MLB CTX	—	55%	266	241	54	11	1	5	19	57	4	5	1	224	292	340	632	116	272	21	7	287	80	-6	+1	-0	+3	+6	0.3
2034	29	MLB CTX	—	53%	256	231	52	11	1	5	19	55	4	5	1	225	295	346	642	121	272	21	7	285	79	-6	+1	-1	+3	+6	0.2
2035	30	MLB CTX	—	53%	249	225	49	10	1	4	18	55	4	4	1	218	287	324	612	107	271	22	7	282	77	-7	+0	-1	+3	+5	0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1989	1802	404	83	8	37	142	427	30	38	8	224	292	341	633	117	273	21	7	285	77	-50	+4	-2	+21	+43	1.7
/ 162G	—	A+C		—	650	589	132	27	3	12	46	140	10	12	3	224	291	341	633	117	273	22	7	285	77	-16	+1	-1	+7	+14	0.5
Career	—	MLE		—	4245	3850	863	178	18	71	297	906	61	90	27	224	290	335	625	111	274	21	7	282	77	-98	+8	-4	+41	+82	3.0
/ 162G	—	MLE		—	650	590	132	27	3	11	45	139	9	14	4	224	289	336	624	112	273	21	7	282	77	-17	+1	-1	+7	+14	0.5

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
#2Ronny Cedenolast yr '13 career totals — 9 seasons, 2,783 PA	4.2	2,783	40	39	246	289	354	+28	+19	5.5	5.6
/162	664	10	9	+6.7	+4.5	1.3	pk7: 6
#3Yolmer Sánchezlast yr '19 career totals — 6 seasons, 2,438 PA	3.7	2,438	31	30	244	299	357	+9	+26	5.4	5.4
/162	664	8	8	+2.4	+7.2	1.5	pk7: 5
#4Chris 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
#5Adam 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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 6 projected seasons	3.2	2,123	37	41	226	289	340	+23	+18	3.2	3.0
/162	664	12	13	+7.1	+5.6	1.0	pk7: 3
#6Ryan 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

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
Edgar Lugo (OGILVIE)	21	60	20	50	20	210/274/296	86	263	1	6	22%	6%	63	-0.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Brayan Rocchio 2021 · A	20	48→53	38→45	48→50	43	226/277/308	82	281	5	13	21%	5%	66	-1.1	226/284/349	123	286	11	14	24%	6%	79	-0.2	222/294/342	121	256	12	16	18%	7%	79	-0.2
✕Jonathan Herrera 2006 · A	21	49→58	36→40	47→55	44	233/279/296	63	287	3	12	20%	5%	63	-1.3	253/300/332	79	300	5	18	16%	6%	80	-0.2	260/308/337	77	304	5	20	15%	6%	81	-0.0
✕Rosell Herrera 2014 · A	21	51→60	41→45	47→55	43	243/293/338	95	324	9	11	27%	6%	78	-0.3	238/284/322	84	309	7	13	24%	6%	72	-0.7	247/301/337	90	312	4	24	21%	7%	79	-0.1
✕Hainley Statia 2007 · A	21	53→57	36→40	46→50	48	246/297/321	74	294	2	13	17%	6%	76	-0.4	243/286/319	76	285	3	15	15%	6%	72	-0.7	239/289/311	72	272	2	10	12%	6%	68	-0.5
✕Jose Cordova 2021 · A	21	49	37→40	50	42	230/287/303	73	298	4	13	23%	5%	69	-0.9	212/267/282	70	308	3	9	30%	5%	57	-1.8	229/290/316	87	306	5	11	25%	7%	70	-0.4
✕Gilberto Jimenez 2021 · A	21	48→58	37→40	47→50	42	226/277/302	76	294	3	10	23%	5%	65	-1.2	236/268/320	84	342	5	13	31%	3%	65	-1.2	233/262/318	85	338	6	15	32%	3%	59	-0.9
✕Jose Gomez 2018 · A	21	54→55	37→40	46→50	42	256/297/331	75	312	4	14	19%	4%	78	-0.3	222/259/283	61	299	3	9	26%	4%	53	-2.1	209/254/289	80	293	6	11	30%	5%	50	-1.5
✕Jeremy Arocho 2021 · A	22	48→45	36→30	48→60	47	224/285/296	72	288	3	10	22%	7%	66	-1.1	229/326/283	54	319	2	26	25%	12%	80	-0.2	223/334/268	45	305	1	34	23%	14%	77	-0.2
✕Euribiel Angeles 2023 · A	21	52→59	37→40	47→50	41	245/285/323	78	309	4	10	22%	4%	72	-0.7	233/265/317	84	277	6	15	18%	4%	63	-1.4	233/273/314	81	269	6	15	16%	4%	62	-1.1
✕Elvis Perez 2017 · A	21	47	36→30	46→45	45	220/278/291	71	289	2	7	24%	7%	62	-1.4	201/248/281	80	284	5	5	29%	6%	49	-2.4	178/210/273	95	240	9	2	30%	4%	30	-1.2
✕Harold Garcia 2008 · A	21	47→57	39→45	49→55	44	221/296/308	87	279	5	10	22%	6%	75	-0.5	239/298/346	107	311	8	20	25%	5%	83	+0.1	253/307/362	109	339	8	26	26%	4%	88	+0.3
✕Chuck Taylor 2015 · A	21	49→56	37→40	46→50	47	231/298/304	73	305	4	8	24%	8%	73	-0.6	227/289/302	75	297	5	7	23%	7%	70	-0.9	243/306/328	85	302	5	4	20%	7%	79	-0.1
✕Gabriel Maciel 2019 · A	20	50→52	36→30	46→55	43	237/282/299	62	302	4	12	22%	6%	65	-1.2	224/281/292	68	293	4	16	23%	7%	64	-1.3	217/280/282	64	280	3	19	22%	7%	58	-0.9
✕Chesny Young 2015 · A	22	51→61	38→30	50	38	239/273/327	89	329	5	8	28%	4%	68	-1.0	270/318/336	66	319	3	12	15%	6%	87	+0.4	271/321/329	58	318	2	11	15%	6%	84	+0.1
✕Rodrigo Orozco 2017 · A	22	48→58	39→40	47→50	48	227/283/315	88	277	6	9	20%	7%	70	-0.8	239/295/314	75	308	3	12	21%	7%	74	-0.6	242/299/313	71	309	2	15	21%	7%	72	-0.5
✕Sergio Miranda 2008 · A	21	54→57	37→40	46→45	52	251/314/326	76	292	3	7	15%	8%	84	+0.1	251/297/322	71	295	3	8	15%	6%	76	-0.4	259/299/325	66	300	3	9	14%	5%	76	-0.3
✕Steve Lombardozzi Jr. 2010 · A	21	53→58	37→45	50	48	247/304/323	76	309	3	9	20%	7%	79	-0.2	261/308/358	97	310	5	14	16%	6%	88	+0.5	269/314/368	99	313	5	16	15%	5%	90	+0.5
✕Blake Swihart 2013 · A	21	46→51	42→45	49→45	40	225/261/329	104	286	9	7	25%	5%	65	-1.2	241/280/351	110	306	8	8	23%	5%	77	-0.3	256/303/369	113	322	9	7	22%	6%	87	+0.2
✕Eliezer Alfonzo 2021 · A	21	49→51	38→45	49→40	50	229/293/310	80	275	4	8	18%	8%	73	-0.6	237/280/337	100	262	10	3	14%	5%	74	-0.5	236/276/331	95	249	11	2	10%	4%	69	-0.6
✕Ozzie Martínez 2009 · A	21	51→60	40	45→50	41	245/277/337	92	291	8	7	19%	4%	72	-0.7	247/293/326	79	292	4	11	16%	5%	76	-0.4	247/297/321	73	292	3	12	16%	5%	72	-0.6

Career Stats + Projections

Career Comps

Career Path Comps