Angel Requena — OGILVIE

Angel Requena3B DSL Nationals

Age 19 R/R 6'1" / 160 lbs ROK Svc 0.0 · Ctrl thru 2037

2026 FULL-SEASON PROJECTIONpark-neutral Marcel · 117 proj PA

wRC+†64

AVG/OBP/SLG.218 / .277 / .295

PA9

HR0

K%25

BB%6

ISO78

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$9M ctrl surplus

Tools · ContractCON 54 / POW 33

Toolsscout grade

CONTACT54

scouting grade only

POWER33

scouting grade only

EYE41

scouting grade only

SPEED70

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	+0.4	$0.9M	+$0.4M
2035	Arb-1	$2M	+0.3	$0.6M	+$0.0M (cut)
2036	Arb-2	$2M	+0.2	$0.4M	+$0.0M (cut)
2037	Arb-3	$2M	+0.1	$0.2M	+$0.0M (cut)
Totals		$3M		$4M	+$1M

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	17	ROK	DSL Nationals	—	94	84	23	2	2	0	7	16	3	5	2	274	351	345	696	71	338	17	7	320	103	+0	+0	—	—	+2	0.3
2025	18	ROK	DSL Nationals	—	140	119	30	6	0	0	9	21	9	24	4	252	350	303	653	50	297	15	6	302	91	-2	+3	—	—	+3	0.5
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	17	ROK MLE	DSL Nationals	—	94	87	17	1	1	0	4	22	3	5	2	195	255	230	485	34	269	23	4	227	40	-7	+0	—	—	+2	-0.5
2025	18	ROK MLE	DSL Nationals	—	140	123	23	4	0	0	5	31	9	24	4	187	270	220	490	33	228	22	4	220	35	-11	+3	—	—	+3	-0.5
2024	17	ROK MLE	DSL Nationals	—	94	87	17	1	1	0	4	22	3	5	2	195	255	230	485	34	262	23	4	227	40	—	—	—	—	—	—
2024	17	ROK RAW	DSL Nationals	—	94	84	23	2	2	0	7	16	3	5	2	274	351	345	696	71	338	17	7	320	40	—	—	—	—	—	—
2025	18	ROK MLE	DSL Nationals	—	140	123	23	4	0	0	5	31	9	24	4	187	270	220	490	33	242	22	4	220	35	—	—	—	—	—	—
2025	18	ROK RAW	DSL Nationals	—	140	119	30	6	0	0	9	21	9	24	4	252	350	303	653	50	297	15	6	302	35	—	—	—	—	—	—
2024	17	ROK MLE	DSL Nationals	—	94	87	17	1	1	0	4	22	3	5	2	195	255	230	485	34	269	23	4	227	40	—	—	—	—	—	—
2025	18	ROK MLE	DSL Nationals	—	140	125	23	4	0	0	5	31	9	24	4	184	270	216	486	32	228	22	4	220	35	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2024	17	ROK MLE	DSL Nationals	—	94	87	17	1	1	0	4	22	3	5	2	195	255	230	485	34	269	23	4	227	40	—	—	—	—	—	—
2025	18	ROK MLE	DSL Nationals	—	140	125	23	4	0	0	5	31	9	24	4	184	270	216	486	32	228	22	4	220	35	—	—	—	—	—	—
▸ 2026 season
2026	19	MLB MLE	WSH	0%	9	8	1	0	0	0	1	2	0	0	0	125	222	125	347		290	22	11	262	64	-0	+0	+0	+0	+0	-0.1
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	20	MLB MLE	WSH	34%	204	186	41	7	1	2	12	50	4	6	1	220	282	301	583	81	292	25	6	274	71	-7	+1	+0	+1	+4	-0.1
2028	21	MLB MLE	WSH	48%	336	306	70	12	2	5	21	81	6	10	2	229	291	330	621	101	293	24	6	281	76	-9	+1	+0	+1	+7	0.0
2029	22	MLB MLE	WSH	54%	431	392	91	15	3	7	28	103	8	13	2	232	297	339	636	107	294	24	6	286	80	-10	+2	+0	+2	+9	0.2
2030	23	MLB MLE	WSH	57%	495	451	104	18	3	8	32	118	9	15	2	231	295	337	632	106	295	24	6	289	82	-11	+2	+0	+2	+11	0.4
2031	24	MLB MLE	WSH	57%	537	487	114	19	4	9	35	127	10	16	2	234	299	345	644	111	296	24	7	291	83	-11	+2	+0	+2	+12	0.5
2032	25	MLB MLE	WSH	57%	561	509	120	20	4	10	37	133	10	17	3	236	300	350	650	114	296	24	7	292	84	-11	+2	+0	+2	+12	0.6
2033	26	MLB MLE	WSH	56%	574	520	121	20	4	10	38	136	11	17	3	233	299	344	643	112	295	24	7	293	84	-11	+2	+0	+2	+12	0.6
2034	27	MLB MLE	WSH	55%	577	522	122	20	4	10	39	137	11	18	3	234	301	345	646	111	295	24	7	293	84	-11	+2	+0	+2	+13	0.6
2035	28	MLB MLE	WSH	55%	575	520	121	20	4	10	39	137	11	17	3	233	300	344	644	112	295	24	7	292	83	-11	+2	-1	+2	+12	0.5
2036	29	MLB MLE	WSH	53%	567	512	120	20	4	10	39	137	11	16	2	234	302	348	650	113	294	24	7	290	82	-12	+2	-1	+2	+12	0.3
2037	30	MLB MLE	WSH	53%	557	504	115	19	3	9	38	135	10	16	2	228	295	331	627	103	292	24	7	287	80	-13	+2	-2	+2	+12	0.1
2038	31	MLB MLE	WSH	52%	543	491	111	18	3	9	37	134	10	15	2	226	294	330	624	104	290	25	7	282	77	-15	+2	-3	+2	+12	-0.2
2027	20	MLB CTX	WSH	34%	70	65	14	2	0	1	4	17	1	2	0	215	271	292	564	77	290	24	6	258	71	-2	+0	+0	+0	+2	-0.0
2028	21	MLB CTX	WSH	48%	163	149	34	6	1	2	10	39	3	5	1	228	290	322	612	94	291	24	6	265	76	-5	+1	+0	+1	+4	0.0
2029	22	MLB CTX	WSH	54%	234	213	49	8	1	4	15	56	4	7	1	230	293	333	626	103	292	24	6	271	80	-6	+1	+0	+1	+5	0.1
2030	23	MLB CTX	WSH	57%	280	255	60	10	2	5	18	67	5	8	1	235	299	349	648	114	293	24	6	274	82	-6	+1	+0	+1	+6	0.2
2031	24	MLB CTX	WSH	57%	304	275	64	11	2	5	20	72	6	9	1	233	299	342	641	109	294	24	7	276	83	-6	+1	+0	+1	+7	0.3
2032	25	MLB CTX	WSH	57%	317	287	67	11	2	6	21	75	6	10	1	233	299	348	648	115	294	24	7	276	84	-6	+2	+0	+1	+7	0.4
2033	26	MLB CTX	WSH	56%	324	294	69	12	2	6	21	77	6	10	2	235	299	350	649	116	294	24	6	277	84	-6	+1	+0	+1	+7	0.3
2034	27	MLB CTX	WSH	55%	320	289	68	11	2	6	22	76	6	10	1	235	303	349	652	114	293	24	7	277	84	-6	+2	+0	+1	+7	0.4
2035	28	MLB CTX	WSH	55%	316	285	67	11	2	6	22	75	6	9	1	235	304	351	654	116	293	24	7	276	83	-6	+1	-0	+1	+7	0.3
2036	29	MLB CTX	WSH	53%	303	273	64	11	2	5	21	73	6	9	1	234	303	344	648	110	292	24	7	274	82	-6	+1	-1	+1	+7	0.2
2037	30	MLB CTX	WSH	53%	293	266	61	10	2	5	20	71	5	8	1	229	296	338	634	109	291	24	7	271	80	-7	+1	-1	+1	+6	0.1
2038	31	MLB CTX	WSH	52%	283	257	57	9	1	5	19	70	5	8	1	222	288	323	611	101	288	25	7	267	77	-8	+1	-1	+1	+6	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	3207	2908	674	112	19	56	213	768	59	95	12	232	297	341	639	109	294	24	7	273	80	-70	+14	-4	+11	+69	2.2
/ 162G	—	A+C		—	650	589	137	23	4	11	43	156	12	19	2	233	298	341	639	109	296	24	7	273	80	-14	+3	-1	+2	+14	0.4
Career	—	MLE		—	6200	5618	1291	213	40	99	405	1483	123	205	33	230	296	335	631	105	293	24	7	286	80	-132	+24	-7	+21	+129	3.7
/ 162G	—	MLE		—	650	589	134	22	4	10	42	155	13	21	3	228	293	329	623	102	290	24	6	286	80	-14	+3	-1	+2	+14	0.4

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Cliff Penningtonlast yr '17 career totals — 10 seasons, 3,108 PA	4.7	3,108	36	84	243	310	341	+28	+29	9.2	9.5
/162	664	8	18	+5.9	+6.2	2.0	pk7: 10
#2Gordon 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
#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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 7 projected seasons	5.0	3,324	55	98	233	295	342	+12	+4	4.2	3.8
/162	664	11	20	+2.4	+0.7	0.8	pk7: 3
#5Dustin 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
#6Alexi Casillalast yr '13 career totals — 7 seasons, 1,883 PA	2.8	1,883	12	80	248	302	332	+8	+3	2.7	2.7
/162	664	4	28	+2.8	+0.9	1.0	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
Angel Requena (OGILVIE)	19	49→54	28→33	65→70	41	218/277/295	77	290	1	3	25%	6%	64	-0.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Charlie Culberson 2008 · A	19	45→52	37→45	60→50	41	210/271/293	83	300	4	18	30%	6%	61	-1.5	213/257/291	78	285	5	11	26%	4%	54	-2.0	254/306/422	167	324	18	9	26%	6%	98	+0.5
✕Tyler Pastornicky 2009 · A	19	44→54	37→40	58→60	48	207/267/281	74	251	4	24	19%	7%	57	-1.8	237/286/316	79	281	5	28	16%	6%	71	-0.8	268/307/357	89	308	6	16	14%	5%	85	+0.1
✕Abiatal Avelino 2014 · A	19	51→52	36→45	60→55	49	237/300/311	74	283	2	24	16%	7%	75	-0.5	226/271/305	79	286	4	22	21%	5%	63	-1.4	241/281/343	102	297	8	19	21%	5%	72	-0.5
✕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
✕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
✕José Peraza 2013 · A	19	49→59	35→45	56→65	43	229/273/290	60	270	3	23	16%	4%	60	-1.6	258/287/331	73	304	2	36	15%	3%	74	-0.6	272/310/361	89	305	7	25	13%	4%	87	+0.3
✕Ryan Brett 2011 · A	19	47→57	37→45	54→60	42	219/269/295	76	299	3	17	26%	6%	60	-1.6	238/285/338	100	289	6	24	19%	6%	76	-0.4	262/302/367	105	319	8	30	20%	5%	86	+0.2
✕Matt Lipka 2011 · A	19	47→53	36→45	57→60	45	220/264/291	72	261	3	18	17%	5%	57	-1.8	216/257/278	62	275	3	17	21%	5%	51	-2.2	226/278/328	102	302	8	31	26%	6%	69	-0.6
✕Alen Hanson 2012 · A	19	46→52	39→50	58→60	44	218/271/315	96	273	4	19	21%	6%	65	-1.2	236/283/372	136	299	10	20	23%	6%	83	+0.1	239/283/383	143	299	11	21	23%	5%	82	+0.0
✕Tito Polo 2014 · A	19	45→54	38→45	55→60	39	211/276/288	77	305	5	22	31%	6%	62	-1.4	215/271/309	94	289	7	23	27%	5%	65	-1.2	234/289/348	114	310	11	32	27%	5%	77	-0.2
✕Derrik Gibson 2010 · A	20	48→55	37→40	56→55	45	223/290/300	76	303	3	16	26%	7%	70	-0.9	203/262/257	54	276	1	18	25%	7%	49	-2.4	246/309/315	68	310	3	11	20%	7%	76	-0.3
✕Eury Pérez 2009 · A	19	47→57	37→40	54→65	47	223/297/296	73	290	5	20	23%	8%	72	-0.7	258/302/330	72	319	4	28	19%	5%	80	-0.2	292/329/379	87	355	3	37	18%	4%	98	+0.4
✕Che-Hsuan Lin 2009 · A	20	44→54	40	58→55	45	211/271/310	100	266	7	21	23%	6%	65	-1.2	231/297/306	75	279	5	20	18%	8%	74	-0.6	234/305/295	62	278	3	22	16%	8%	71	-0.7
✕Lorenzo Cedrola 2016 · A	18	52→59	36→40	56→50	44	240/309/311	72	288	2	18	17%	5%	80	-0.2	232/275/306	74	280	3	15	18%	3%	65	-1.2	248/292/343	96	290	7	16	17%	3%	76	-0.3
✕Billy Hamilton 2011 · A	20	44→54	37→40	62→70	39	207/251/284	77	292	3	28	29%	5%	50	-2.3	236/288/308	72	330	2	63	27%	7%	70	-0.9	241/300/326	84	310	4	55	22%	8%	76	-0.4
✕Rey Fuentes 2011 · A	20	47→57	37→40	59→60	38	222/263/297	75	301	4	25	27%	4%	58	-1.7	228/277/308	80	319	5	27	28%	5%	66	-1.1	275/323/366	91	351	7	33	22%	6%	93	+0.6
✕Randy Romero 2021 · A	21	50	37→40	60	46	236/278/312	77	269	3	22	14%	5%	67	-1.1	202/245/267	65	275	3	17	26%	5%	45	-2.7	178/216/225	47	246	1	22	27%	4%	22	-1.1
✕Yoyner Fajardo 2019 · A	20	50→58	38→45	58→60	49	232/294/325	93	280	3	14	18%	7%	76	-0.4	234/293/308	74	292	3	19	19%	6%	72	-0.7	260/317/349	89	329	5	34	21%	7%	86	+0.2
✕Jorge Mateo 2014 · A	19	43→48	42→50	60→65	46	209/275/314	105	270	9	30	25%	8%	68	-1.0	211/263/305	94	295	6	36	28%	6%	60	-1.6	213/255/343	130	274	13	52	27%	5%	65	-0.4
✕Monte Harrison 2015 · A	19	45→44	36→50	59→60	45	207/296/274	67	309	3	25	31%	8%	67	-1.1	185/254/277	92	311	8	16	40%	6%	52	-2.2	192/260/311	120	338	15	41	45%	7%	59	-0.8

Career Stats + Projections

Career Comps

Career Path Comps