Anthony Santa Cruz de Oviedo

Anthony Santa Cruz de OviedoOF ACL Angels

Age 19 L/L 6'3" / 180 lbs ROK K +5%HR +4% Svc 0.0 · Ctrl thru 2037

2026 ROS PROJECTION216 act + 21 ros · stats below = ROS only

showingROS

wRC+†70

AVG/OBP/SLG.211 / .286 / .263

PA21

HR0

K%29

BB%10

BABIP273

ISO53

MLB%0%

Value2026 · WAR

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

Tools · ContractCON 50 / POW 30

Toolsscout grade

CONTACT50

scouting grade only

POWER30

scouting grade only

EYE50

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	+0.1	$0.3M	+$0.0M (cut)
2033	Pre-Arb	$1.0M	+0.1	$0.2M	+$0.0M (cut)
2034	Pre-Arb	$1.0M	+0.1	$0.2M	+$0.0M (cut)
2035	Arb-1	$0.8M	—	—	—
2036	Arb-2	$0.7M	—	—	—
2037	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$0.5M	+$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)
2025	18	ROK	DSL Angels	—	210	175	52	14	3	1	29	34	2	3	2	297	403	429	831	131	354	16	14	368	135	+9	-0	—	—	+5	1.3
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	18	ROK MLE	DSL Angels	—	210	186	43	11	2	1	18	49	2	3	2	231	306	328	634	97	292	23	9	282	77	-6	-0	—	—	+5	-0.1
2025	18	ROK MLE	DSL Angels	—	210	186	43	11	2	1	18	49	2	3	2	231	306	328	634	97	300	23	9	282	77	—	—	—	—	—	—
2025	18	ROK RAW	DSL Angels	—	210	175	52	14	3	1	29	34	2	3	2	297	403	429	831	131	354	16	14	368	77	—	—	—	—	—	—
2025	18	ROK MLE	DSL Angels	—	210	188	43	11	2	1	18	49	2	3	2	229	306	324	630	96	292	23	9	282	77	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2025	18	ROK MLE	DSL Angels	—	210	188	43	11	2	1	18	49	2	3	2	229	306	324	630	96	292	23	9	282	77	—	—	—	—	—	—
YTD	19	ROK MLE	LAA	—	216	190	36	7	1	5	21	62	2	2	2	189	277	316	593	126	246	29	10	263	64	-9	-0	+0	-1	+5	-0.6
▸ 2026 season
YTD	19	ROK RAW	LAA	—	216	177	45	10	2	6	34	43	2	2	2	254	380	435	815	181	298	20	16	362	64	—	—	—	—	—	—
ROS	19	ROK MLE	LAA	0%	21	19	4	1	0	0	2	6	0	0	0	211	286	263	549	53	273	29	10	271	70	-1	+0	+0	-0	+0	-0.0
TOT	19	ROK MLE	LAA	—	237	209	40	8	1	5	23	68	2	2	2	191	278	311	589	120	252	29	10	264	65	-10	-0	+0	-1	+5	-0.7
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	20	MLB MLE	LAA	34%	274	246	52	10	2	5	23	72	3	3	1	211	287	329	616	118	277	26	8	281	76	-8	+0	+0	-2	+6	-0.3
2028	21	MLB MLE	LAA	48%	389	349	76	15	3	8	33	100	4	5	2	218	293	347	639	129	279	26	8	288	81	-9	+0	+0	-2	+8	-0.3
2029	22	MLB MLE	LAA	54%	471	422	93	18	3	10	41	119	5	6	3	220	297	348	645	128	281	25	9	293	84	-9	+0	+0	-3	+10	-0.2
2030	23	MLB MLE	LAA	57%	525	468	106	21	4	12	46	131	6	7	3	226	304	365	669	139	282	25	9	295	86	-9	+0	+0	-3	+11	-0.0
2031	24	MLB MLE	LAA	57%	559	499	113	22	4	13	49	139	6	7	3	226	303	365	668	138	283	25	9	297	87	-9	+0	+0	-3	+12	0.0
2032	25	MLB MLE	LAA	60%	579	517	116	23	4	13	51	144	6	8	3	224	301	360	661	135	283	25	9	298	88	-8	+0	+0	-3	+13	0.1
2033	26	MLB MLE	LAA	62%	589	526	119	23	4	14	52	146	6	8	3	226	303	365	668	139	282	25	9	298	88	-8	+0	+0	-4	+13	0.1
2034	27	MLB MLE	LAA	63%	591	527	119	23	4	14	53	147	6	8	3	226	304	364	668	139	282	25	9	298	88	-8	+0	+0	-4	+13	0.1
2035	28	MLB MLE	LAA	65%	587	523	117	23	4	13	53	147	6	8	3	224	302	358	660	134	282	25	9	297	87	-9	+0	-1	-4	+13	-0.0
2036	29	MLB MLE	LAA	65%	578	515	114	22	4	13	52	146	6	7	3	221	300	355	656	134	281	25	9	295	86	-10	+0	-1	-3	+13	-0.2
2027	20	MLB CTX	LAA	34%	94	85	19	4	1	2	8	25	1	1	0	224	298	365	663	141	277	27	9	274	76	-3	+0	+0	-1	+2	-0.1
2028	21	MLB CTX	LAA	48%	188	168	36	7	1	4	16	48	2	2	1	214	290	339	630	125	279	26	9	280	81	-4	+0	+0	-1	+4	-0.1
2029	22	MLB CTX	LAA	54%	255	228	51	10	2	6	22	64	3	3	1	224	300	364	664	140	280	25	9	285	84	-5	+0	+0	-2	+6	-0.1
2030	23	MLB CTX	LAA	57%	297	266	60	12	2	7	26	74	3	4	2	226	302	365	666	139	281	25	9	288	86	-5	+0	+0	-2	+6	-0.0
2031	24	MLB CTX	LAA	57%	316	282	63	12	2	7	28	79	3	4	2	223	300	355	655	131	282	25	9	289	87	-5	+0	+0	-2	+7	0.0
2032	25	MLB CTX	LAA	60%	349	311	70	14	2	8	31	87	4	5	2	225	303	360	664	135	282	25	9	290	88	-5	+0	+0	-2	+8	0.1
2033	26	MLB CTX	LAA	62%	368	329	73	14	2	9	32	91	4	5	2	222	299	359	657	137	282	25	9	290	88	-5	+0	+0	-2	+8	0.1
2034	27	MLB CTX	LAA	63%	375	335	76	15	3	9	33	93	4	5	2	227	304	370	674	143	282	25	9	290	88	-5	+0	+0	-2	+8	0.1
2035	28	MLB CTX	LAA	65%	382	341	76	15	2	9	34	96	4	5	2	223	301	358	659	135	281	25	9	289	87	-6	+0	-0	-2	+8	-0.0
2036	29	MLB CTX	LAA	65%	376	335	74	14	2	9	34	95	4	5	2	221	300	355	655	134	280	25	9	288	86	-6	+0	-1	-2	+8	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	3000	2680	598	117	19	70	264	752	32	39	16	223	300	359	660	136	282	25	9	288	85	-49	+1	-1	-18	+65	-0.2
/ 162G	—	A+C		—	650	581	129	25	4	15	57	163	7	8	3	222	299	356	656	134	281	25	9	288	85	-11	+0	-0	-4	+14	-0.1
Career	—	MLE		—	5373	4797	1072	212	38	116	473	1346	56	70	29	223	301	356	657	133	284	25	9	294	85	-87	+3	-2	-31	+112	-0.6
/ 162G	—	MLE		—	650	580	130	26	5	14	57	163	7	8	4	224	301	359	660	134	285	25	9	294	85	-11	+0	-0	-4	+14	-0.1

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Michael 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
#2Gregory 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
#3Tony Kemplast yr '23 career totals — 7 seasons, 2,198 PA	3.3	2,198	35	52	238	326	354	-4	-3	4.3	4.3
/162	664	11	16	-1.3	-0.8	1.3	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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 7 projected seasons	4.8	3,191	69	41	224	297	356	-19	+0	1.6	1.6
/162	664	14	9	-4.0	+0.0	0.3	pk7: 2
#5Jake Cavelast yr '24 career totals — 7 seasons, 1,564 PA	2.4	1,564	45	13	236	292	400	-11	-6	1.3	1.3
/162	664	19	6	-4.5	-2.5	0.6	pk7: 1
#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
Anthony Santa Cruz de Oviedo (OGILVIE)	19	50	30	40	50	205/279/312	107	273	3	2	27%	8%	70	-0.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Hendry Mendez 2023 · A	19	46→56	38→45	42→45	50	219/292/294	75	276	6	6	22%	8%	69	-0.9	234/299/322	88	290	6	5	20%	8%	78	-0.3	258/330/364	106	310	10	6	19%	9%	97	+0.8
✕Jose Quero 2018 · A	19	42	40	43→30	44	208/267/295	86	269	9	3	26%	6%	59	-1.6	195/253/293	98	251	9	5	25%	7%	54	-2.0	196/247/344	148	225	15	4	21%	6%	68	-0.2
✕Dario Unda 2015 · A	19	46	39→45	41→45	43	220/274/317	97	288	5	5	24%	6%	68	-1.0	223/277/331	108	281	8	6	23%	6%	72	-0.7	224/275/343	119	274	11	7	22%	6%	72	-0.2
✕Alain Camou 2023 · A	19	51	37→40	46→50	53	240/305/319	80	282	3	10	16%	8%	79	-0.2	208/265/274	66	271	2	6	22%	7%	53	-2.1	181/234/228	47	241	0	2	23%	6%	30	-0.9
✕Jesus Martinez 2014 · A	19	49	36→30	44→55	54	229/302/301	71	269	3	7	15%	9%	74	-0.5	220/279/277	57	275	2	13	19%	7%	59	-1.6	217/274/256	39	271	1	18	19%	7%	50	-0.9
✕Rochest Cruz 2018 · A	19	46	36→40	43→65	52	214/289/283	69	266	3	10	20%	9%	65	-1.2	213/286/278	65	276	3	30	22%	8%	63	-1.3	205/284/259	53	265	2	47	21%	8%	56	-0.6
✕Armando Sierra 2023 · A	19	47	41→45	43→40	47	227/288/323	97	280	8	4	22%	7%	74	-0.5	213/268/313	100	305	9	4	31%	6%	64	-1.3	189/239/286	97	292	10	0	37%	6%	45	-0.5
✕Joe Dickerson 2006 · A	19	43→53	41→40	46→55	43	208/263/319	111	281	7	9	28%	7%	63	-1.3	227/275/325	98	284	7	14	22%	5%	69	-0.9	247/301/333	86	308	4	21	20%	6%	78	-0.1
✕Randel Alcantara 2016 · A	19	44	41→45	46→45	43	211/283/321	110	282	7	6	26%	6%	73	-0.6	197/255/304	107	263	9	6	27%	5%	58	-1.7	132/175/242	109	157	14	3	27%	3%	12	-1.3
✕Matthew Sulentic 2007 · A	19	45→55	40→45	45→50	45	215/275/308	93	278	7	7	25%	7%	65	-1.2	218/265/311	93	294	7	9	27%	5%	62	-1.4	252/299/344	92	354	6	13	29%	6%	79	-0.1
✕Cornelius Randolph 2016 · A	19	48→47	38→40	46→45	50	221/301/310	89	290	3	8	23%	9%	76	-0.4	218/284/306	88	305	6	6	28%	7%	69	-0.9	215/280/298	84	300	7	5	29%	7%	63	-1.0
✕Jeffer Patino 2008 · A	19	47	37→45	43→45	47	223/286/297	74	279	4	6	20%	7%	68	-1.0	217/275/298	81	266	5	5	19%	6%	63	-1.3	213/266/288	75	257	5	3	18%	6%	55	-0.6
✕Daniel Montesino 2023 · A	19	49	40→45	48→45	46	222/303/321	99	333	6	8	32%	9%	80	-0.2	201/267/274	73	313	3	9	34%	7%	55	-2.0	174/233/224	49	287	0	8	36%	6%	28	-1.1
✕Dominic Smith 2014 · A	19	46→55	40→50	41→40	43	220/278/314	95	293	7	5	26%	6%	68	-1.0	243/288/325	82	305	5	3	21%	6%	74	-0.6	272/338/459	187	327	22	2	23%	7%	122	+1.4
✕Kevin Gonzalez 2015 · A	18	50	37→30	44→30	44	233/290/306	73	296	3	4	22%	6%	71	-0.8	216/283/287	71	292	3	4	25%	8%	64	-1.3	192/274/247	55	263	0	0	24%	9%	52	-0.6
✕Iverson Leonardo 2021 · A	19	45	40→50	47→50	44	211/284/318	107	303	5	9	30%	8%	72	-0.7	189/267/301	112	298	10	8	37%	8%	62	-1.4	154/246/261	107	253	10	8	40%	8%	44	-0.7
✕Jose Roman 2011 · A	20	45	40	46→45	45	215/275/308	93	292	6	5	27%	8%	65	-1.2	231/290/327	96	288	7	6	21%	7%	76	-0.4	249/309/344	95	292	8	6	17%	8%	83	+0.0
✕Austin Gallagher 2008 · A	19	45→49	40→45	45→30	43	217/262/305	88	273	7	4	23%	6%	59	-1.6	227/271/326	99	301	7	2	26%	6%	68	-1.0	234/298/360	126	291	13	1	23%	8%	84	+0.1
✕Ramón Flores 2011 · A	19	44→54	37→45	48→50	47	207/271/282	75	268	4	7	23%	7%	58	-1.7	229/284/321	92	291	6	9	22%	7%	72	-0.7	248/322/344	96	296	8	8	18%	9%	88	+0.3
✕Hector Osorio 2023 · A	18	47	37→45	47→50	48	219/301/296	77	303	4	8	27%	9%	74	-0.6	214/320/283	69	272	4	14	20%	11%	78	-0.3	222/318/349	127	252	16	10	19%	9%	90	+0.3

Career Stats + Projections

Career Comps

Career Path Comps