Dario Laverde — OGILVIE

Dario LaverdeC ACL Angels

Age 21 L/R 5'9" / 160 lbs ROK K +5%HR +4% Svc 0.0 · Ctrl thru 2037

2026 ROS PROJECTION38 act + 11 ros · stats below = ROS only

showingROS

wRC+†52

AVG/OBP/SLG.100 / .182 / .100

PA11

HR0

K%27

BB%9

BABIP263

ISO72

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$13M ctrl surplus

Tools · ContractCON 35 / POW 25

Toolsscout grade

CONTACT35

scouting grade only

POWER25

scouting grade only

EYE30

scouting grade only

SPEED40

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	+0.4	$1M	+$0.5M
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	Arb-2	$1M	—	—	—
2037	Ext	beyond projection horizon · no WAR estimate
Totals		$3M		$2M	+$0.8M

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. Catcher framing: only 2026 Statcast framing is modeled (Baseball Savant server-caches the leaderboard to the current season); prior-year framing is unmodeled — projections for established framers may run below FG-DC by 1-3 WAR.

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 Angels	—	181	151	45	4	6	0	21	19	7	9	4	298	408	404	812	106	336	10	12	366	134	+7	+0	—	—	+4	1.2
2023	18	ROK	ACL Angels	—	167	134	41	9	4	1	28	31	1	7	3	306	429	455	885	149	377	19	17	388	149	+10	+0	—	—	+4	1.4
2024	19	A	Inland Empire 66ers	—	246	213	59	10	4	2	27	56	4	0	0	277	369	390	759	113	363	23	11	342	118	+5	+0	—	—	+5	1.1
2024	19	ROK	ACL Angels	—	70	63	22	5	1	0	4	11	1	1	1	349	397	460	857	111	415	16	6	372	138	+3	-0	—	—	+2	0.5
2025	20	A+	Tri-City Dust Devils	—	40	39	6	1	0	0	1	12	0	0	0	154	175	179	354	26	222	30	2	163	-4	-5	+0	—	—	+1	-0.4
2025	20	A	Inland Empire 66ers	—	374	334	74	12	2	4	30	79	8	0	0	222	300	305	606	84	279	21	8	279	75	-11	+0	—	—	+8	-0.3
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2022	17	ROK MLE	DSL Angels	—	181	160	35	3	4	0	12	28	7	9	4	219	302	287	589	69	257	15	7	265	65	-7	+0	—	—	+4	-0.3
2023	18	ROK MLE	ACL Angels	—	167	144	32	6	3	1	18	47	1	7	3	222	313	326	639	104	303	28	11	287	80	-4	+0	—	—	+4	-0.0
2024	19	A MLE	Inland Empire 66ers	—	246	223	47	7	2	2	17	78	4	0	0	211	279	287	566	76	309	32	7	257	60	-12	+0	—	—	+5	-0.6
2024	19	ROK MLE	ACL Angels	—	70	65	19	4	1	0	2	16	1	1	1	292	324	385	708	92	347	23	3	289	82	-2	-0	—	—	+2	-0.0
2025	20	A+ MLE	Tri-City Dust Devils	—	40	39	5	1	0	0	1	16	0	0	0	128	150	154	304	26	187	40	2	111	-39	-7	+0	—	—	+1	-0.6
2025	20	A MLE	Inland Empire 66ers	—	374	344	58	9	1	3	21	105	8	0	0	169	233	227	460	58	232	28	6	210	28	-32	+0	—	—	+8	-2.4
2022	17	ROK MLE	DSL Angels	—	181	160	35	3	4	0	12	28	7	9	4	219	302	287	589	69	261	15	7	265	65	—	—	—	—	—	—
2022	17	ROK RAW	DSL Angels	—	181	151	45	4	6	0	21	19	7	9	4	298	408	404	812	106	336	10	12	366	65	—	—	—	—	—	—
2023	18	ROK MLE	ACL Angels	—	167	144	32	6	3	1	18	47	1	7	3	222	313	326	639	104	310	28	11	287	80	—	—	—	—	—	—
2023	18	ROK RAW	ACL Angels	—	167	134	41	9	4	1	28	31	1	7	3	306	429	455	885	149	377	19	17	388	80	—	—	—	—	—	—
2024	19	A MLE	2 teams	—	316	287	66	11	3	2	20	94	5	1	1	230	292	310	602	80	330	30	6	264	65	—	—	—	—	—	—
2024	19	A RAW	2 teams	—	316	276	81	15	5	2	31	67	5	1	1	293	375	406	781	112	376	21	10	349	65	—	—	—	—	—	—
2025	20	A MLE	2 teams	—	414	383	62	9	1	3	22	122	8	0	0	162	223	214	437	52	229	29	5	200	22	—	—	—	—	—	—
2025	20	A RAW	2 teams	—	414	373	80	13	2	4	31	91	8	0	0	214	288	292	580	78	273	22	7	268	22	—	—	—	—	—	—
2022	17	ROK MLE	DSL Angels	—	181	160	35	3	4	0	12	28	7	9	4	219	302	287	589	69	257	15	7	265	65	—	—	—	—	—	—
2023	18	ROK MLE	ACL Angels	—	167	146	32	6	3	1	18	47	1	7	3	219	313	322	635	103	303	28	11	287	80	—	—	—	—	—	—
2024	19	A MLE	2 teams	—	316	288	66	11	3	2	20	94	5	1	1	229	292	309	601	80	317	30	6	264	65	—	—	—	—	—	—
2025	20	A MLE	2 teams	—	414	381	62	9	1	3	22	122	8	0	0	163	223	215	438	52	228	29	5	200	22	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	18	ROK MLE	ACL Angels	—	167	146	32	6	3	1	18	47	1	7	3	219	313	322	635	103	303	28	11	287	80	—	—	—	—	—	—
2024	19	A MLE	2 teams	—	316	288	66	11	3	2	20	94	5	1	1	229	292	309	601	80	317	30	6	264	65	—	—	—	—	—	—
2025	20	A MLE	2 teams	—	414	381	62	9	1	3	22	122	8	0	0	163	223	215	438	52	228	29	5	200	22	—	—	—	—	—	—
YTD	21	ROK MLE	LAA	—	38	32	6	2	0	1	6	10	0	1	0	188	316	344	660	156	238	26	16	287	80	-1	+0	+0	+1	+1	0.1
▸ 2026 season
YTD	21	ROK RAW	LAA	—	38	28	7	3	0	1	10	7	0	1	0	250	447	464	912	214	300	18	26	411	80	—	—	—	—	—	—
ROS	21	ROK MLE	LAA	0%	11	10	1	0	0	0	1	3	0	0	0	100	182	100	282		263	27	9	246	52	-1	+0	+0	+0	+0	-0.0
TOT	21	ROK MLE	LAA	—	49	42	7	2	0	1	7	13	0	1	0	167	286	286	571	119	214	27	14	278	74	-2	+0	+0	+1	+1	0.1
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	22	MLB MLE	LAA	34%	454	413	84	16	2	6	32	116	6	4	1	203	271	295	566	92	266	26	7	260	62	-20	+0	+0	+8	+10	-0.2
2028	23	MLB MLE	LAA	48%	490	445	94	17	3	9	36	122	6	5	1	211	279	324	603	112	269	25	7	271	70	-18	+1	+0	+9	+11	0.2
2029	24	MLB MLE	LAA	53%	520	469	102	19	3	10	39	128	7	5	1	217	287	335	622	117	271	25	8	278	74	-16	+1	+0	+9	+11	0.5
2030	25	MLB MLE	LAA	55%	520	469	103	19	3	11	39	127	7	6	2	220	289	343	633	124	271	24	8	281	76	-15	+0	+0	+9	+11	0.6
2031	26	MLB MLE	LAA	56%	520	468	103	19	3	11	40	127	7	6	2	220	291	344	635	124	271	24	8	282	77	-14	+0	+0	+9	+11	0.7
2032	27	MLB MLE	LAA	55%	520	468	103	19	3	11	40	127	7	6	2	220	291	344	635	124	271	24	8	282	77	-14	+0	+0	+9	+11	0.7
2033	28	MLB MLE	LAA	55%	520	467	101	18	3	11	41	128	7	6	2	216	289	338	628	122	270	25	8	281	76	-15	+0	-1	+9	+11	0.6
2034	29	MLB MLE	LAA	53%	520	468	100	18	3	10	41	129	6	6	2	214	285	329	614	115	270	25	8	279	75	-15	+0	-1	+9	+11	0.4
2035	30	MLB MLE	LAA	57%	520	468	99	18	2	10	41	130	6	6	2	212	283	323	606	111	268	25	8	276	73	-17	+0	-2	+9	+11	0.2
2036	31	MLB MLE	LAA	60%	504	453	94	17	2	9	40	128	6	5	1	208	281	313	594	106	266	25	8	272	70	-18	+1	-3	+9	+11	-0.0
2027	22	MLB CTX	LAA	34%	156	142	29	5	1	2	11	40	2	1	0	204	271	296	567	92	265	26	7	251	62	-7	+0	+0	+3	+3	-0.1
2028	23	MLB CTX	LAA	48%	237	215	45	8	1	4	17	59	3	2	1	209	277	312	588	102	268	25	7	262	70	-9	+0	+0	+4	+5	0.1
2029	24	MLB CTX	LAA	53%	274	249	53	10	1	5	20	67	3	3	1	213	279	321	601	108	270	24	7	269	74	-8	+0	+0	+5	+6	0.3
2030	25	MLB CTX	LAA	55%	285	257	56	10	2	6	22	69	4	3	1	218	290	342	632	125	271	24	8	272	76	-8	+0	+0	+5	+6	0.4
2031	26	MLB CTX	LAA	56%	289	261	57	10	2	6	22	70	4	3	1	218	289	341	630	123	271	24	8	273	77	-8	+0	+0	+5	+6	0.4
2032	27	MLB CTX	LAA	55%	286	258	55	10	1	6	22	70	4	3	1	213	285	329	615	116	270	24	8	273	77	-8	+0	+0	+5	+6	0.4
2033	28	MLB CTX	LAA	55%	284	256	55	10	1	6	22	70	4	3	1	215	287	332	619	117	270	25	8	272	76	-8	+0	-0	+5	+6	0.3
2034	29	MLB CTX	LAA	53%	277	250	54	10	1	6	22	69	3	3	1	216	287	336	623	120	269	25	8	270	75	-8	+0	-1	+5	+6	0.2
2035	30	MLB CTX	LAA	57%	296	267	56	10	1	6	23	74	4	3	1	210	282	322	604	112	268	25	8	267	73	-9	+0	-1	+5	+6	0.1
2036	31	MLB CTX	LAA	60%	300	269	56	10	1	6	24	76	4	3	1	208	283	320	603	112	265	25	8	263	70	-11	+0	-2	+5	+6	-0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2684	2424	516	93	12	53	205	664	35	27	9	213	284	327	611	114	269	25	8	268	69	-84	+2	-4	+48	+58	2.0
/ 162G	—	A+C		—	650	587	126	23	3	13	50	161	8	7	2	215	285	330	616	116	272	25	8	268	69	-20	+0	-1	+12	+14	0.5
Career	—	MLE		—	6177	5572	1179	209	38	104	462	1556	86	72	24	212	282	319	601	107	272	25	7	271	69	-162	+5	-7	+91	+110	3.8
/ 162G	—	MLE		—	650	586	124	22	4	11	49	164	9	8	3	212	283	319	602	108	272	25	8	271	69	-21	+1	-1	+12	+14	0.5

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1John Bucklast yr '14 career totals — 11 seasons, 4,009 PA	6.0	4,009	134	6	234	301	398	+72	+7	16.9	15.7
/162	664	22	1	+11.9	+1.2	2.8	pk7: 14
#2Bobby Crosbylast yr '10 career totals — 7 seasons, 2,832 PA	4.3	2,832	62	34	238	305	374	+28	+33	11.6	11.6
/162	664	15	8	+6.7	+7.7	2.7	pk7: 12
#3Adeiny Hechavarríalast yr '20 career totals — 9 seasons, 3,288 PA	5.0	3,288	37	35	253	291	351	+32	+46	8.6	8.8
/162	664	7	7	+6.5	+9.3	1.7	pk7: 9
#4Sandy 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
#5Ronny 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
#6J.P. Arencibialast yr '15 career totals — 5 seasons, 1,650 PA	2.5	1,650	78	2	213	260	414	+29	-4	4.2	4.2
/162	664	31	1	+11.9	-1.7	1.7	pk7: 4
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 6 projected seasons	4.5	3,006	55	31	213	279	324	+54	+24	3.7	3.6
/162	664	12	7	+11.9	+5.3	0.8	pk7: 4

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
Dario Laverde (OGILVIE)	21	35	25	40	30	195/259/273	78	263	3	3	26%	7%	52	-1.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Sergio Burruel 2012 · A	21	42	35→30	42→30	47	199/275/260	61	277	3	4	27%	8%	55	-1.9	215/268/277	62	300	3	6	27%	6%	55	-1.9	242/305/311	69	297	6	1	19%	7%	75	-0.2
✕Branden Becker 2018 · A	21	41	35→40	40→30	41	196/240/250	53	255	2	4	23%	5%	38	-3.2	230/272/305	75	318	5	4	28%	5%	63	-1.3	241/280/307	66	332	6	1	28%	4%	63	-0.8
✕Claudio Finol 2021 · A	21	42	37→40	43→45	40	202/249/275	72	266	4	5	25%	5%	47	-2.5	192/249/275	83	270	6	8	29%	6%	49	-2.4	178/246/255	77	255	7	10	31%	7%	42	-0.6
✕Nick Ciuffo 2016 · A	21	42→43	36→40	41→40	36	204/227/267	63	266	4	4	25%	3%	36	-3.3	211/245/286	75	286	5	4	27%	4%	49	-2.4	199/240/286	87	290	9	1	33%	5%	44	-0.9
✕Shane Mardirosian 2017 · A	21	41→40	36→40	46→45	39	196/242/264	68	264	3	9	26%	4%	42	-2.9	202/255/282	80	292	6	8	31%	6%	52	-2.2	196/264/280	84	299	7	7	34%	7%	55	-0.6
✕Alex Todd 2012 · A	22	39	37→40	44→45	39	187/248/259	72	259	4	4	28%	5%	45	-2.7	223/289/310	87	301	6	6	26%	6%	72	-0.7	241/310/327	86	323	6	5	25%	5%	81	-0.0
✕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
✕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
✕Franklin Tineo 2016 · A	21	36	38→45	41→50	47	177/258/254	77	247	5	7	29%	9%	48	-2.5	190/264/281	91	260	7	10	28%	8%	56	-1.9	184/261/280	96	239	8	13	25%	8%	53	-0.7
✕Victor Moscote 2014 · A	20	40	37→30	40→45	37	194/243/263	69	285	4	5	32%	5%	43	-2.8	209/262/265	56	278	2	5	24%	6%	51	-2.3	209/266/252	43	268	2	3	21%	6%	47	-0.8
✕Luis De La Cruz 2010 · A	21	41	38→30	47→30	40	197/233/275	77	246	5	6	22%	4%	41	-3.0	220/253/311	91	276	5	6	21%	4%	57	-1.8	245/267/324	79	295	3	3	18%	3%	62	-0.4
✕Luis Palacios 2010 · A	21	39	39→40	46→50	36	192/235/276	84	265	7	5	30%	4%	43	-2.8	192/239/270	78	302	5	7	36%	5%	43	-2.8	140/190/175	36	236	0	6	38%	6%	0	-1.0
✕Miguel Arrendell 2008 · A	20	39	36→30	39→50	49	183/257/243	60	229	4	5	21%	8%	45	-2.7	205/298/270	65	269	4	12	23%	11%	67	-1.1	199/294/260	61	266	4	15	24%	11%	61	-0.6
✕Shane Opitz 2013 · A	21	40	38→40	48→50	40	196/237/276	80	262	4	5	26%	5%	43	-2.8	233/271/309	76	297	4	9	22%	5%	63	-1.4	245/279/314	69	299	3	9	18%	4%	64	-0.6
✕Gustavo Omana 2006 · A	20	43	36→30	44→45	41	204/256/271	67	272	2	4	25%	5%	49	-2.4	221/271/283	62	268	3	4	18%	5%	58	-1.7	231/280/279	48	271	3	2	15%	5%	59	-0.6
✕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
✕Miguel Rodriguez 2008 · A	21	40	37→45	43→45	38	196/244/265	69	264	5	4	27%	4%	44	-2.8	217/277/307	90	287	5	6	25%	6%	67	-1.1	222/289/325	103	288	5	5	23%	6%	73	-0.3
✕Jose Herrera 2018 · A	21	42	39→40	44→40	45	203/251/288	85	249	6	3	21%	6%	52	-2.2	203/268/290	87	267	6	4	25%	8%	59	-1.6	210/292/298	88	277	8	3	26%	10%	69	-0.5
✕Franklin Navarro 2016 · A	21	39	36→40	45→40	38	188/224/252	65	248	4	5	26%	4%	32	-3.6	205/240/287	82	288	6	4	30%	4%	47	-2.5	194/228/253	59	309	4	0	37%	4%	32	-0.8
✕Jan Vázquez 2012 · A	21	41	36→40	45	39	191/252/258	67	290	3	5	33%	6%	46	-2.6	201/256/276	75	287	7	7	31%	5%	51	-2.2	215/293/302	88	284	7	7	25%	7%	69	-0.3

Career Stats + Projections

Career Comps

Career Path Comps