Angel Requena

3B DSL Nationals

Age 20 R/R 6'1" / 160 lbs ROK Svc 0.0 · Ctrl thru 2038

Overview

ROKPROSPECTMiLBFA 2039

ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	17	ROKWSH	94	.274/.351/.345	0	5	29	—	.174/.245/.209
2025	18	ROKWSH	140	.252/.350/.303	0	24	23	—	.164/.255/.197
2027PROJ0% MLB	20	MLBWSH	250	.218/.279/.289	2	7	62	-0.1
2028PROJ34% MLB	21	MLBWSH	42	.221/.284/.301	0	1	68	-0.0
2029PROJ48% MLB	22	MLBWSH	129	.224/.288/.315	2	3	72	-0.1

Next 3 projected WAR -0.2Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2038Service0.0First FA2039

2027MiLB2028MiLB2029MiLB2030MiLB2031MiLB2032MiLB2033Pre-Arb$0.9M2034Pre-Arb$1.0M+4

Skills · percentileMiLB Statcast 2025 Rk

K%82

Whiff%73

Z-Con%69

Speed65

wOBA34

wRC+27

CompsTroy Stokes Jr. (age 20) · Cesar Gonzalez (age 20) · Gilberto Celestino (age 20)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 70 proj PA

wRC+†62

AVG/OBP/SLG.216 / .277 / .287

PA70

HR0

K%24

BB%6

ISO72

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit-$1M ctrl surplus

Tools · Contract

Contract ESTIMATED · service-time + WAR-based estimator (needs verification)

Status MiLB

MLB Debut 2033

Service 0 yrs (est)

Team Control Through 2038

First FA Year 2039

Year	Status	Salary	Proj WAR	Value	Surplus
2027	MiLB	still in minors · estimated debut 2033
2028	MiLB	still in minors · estimated debut 2033
2029	MiLB	still in minors · estimated debut 2033
2030	MiLB	still in minors · estimated debut 2033
2031	MiLB	still in minors · estimated debut 2033
2032	MiLB	still in minors · estimated debut 2033
2033	Pre-Arb	$0.9M	+0.3	$0.8M	+$0.3M
2034	Pre-Arb	$1.0M	+0.2	$0.5M	+$0.0M
2035	Pre-Arb	$1.0M	+0.1	$0.2M	+$0.0M (cut)
2036	Arb-1	$0.6M	—	—	—
2037	Arb-2	$5M	—	—	—
2038	Ext	beyond projection horizon · no WAR estimate
Totals		$2M		$1M	+$0.3M

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. 2027 = actual YTD + projected ROS + total. 2028+ 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	29	—	—	—	—	—	—
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	23	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	17	ROK MLE	DSL Nationals	—	94	86	15	1	1	0	5	19	3	5	2	174	245	209	454	35	229	20	5	211	29	—	—	—	—	—	—
2025	18	ROK MLE	DSL Nationals	—	140	122	20	4	0	0	6	26	9	24	4	164	255	197	452	33	191	19	4	202	23	—	—	—	—	—	—
2024	17	ROK MLE	DSL Nationals	—	94	86	15	1	1	0	5	19	3	5	2	174	245	209	454	35	224	20	5	211	29	—	—	—	—	—	—
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	29	—	—	—	—	—	—
2025	18	ROK MLE	DSL Nationals	—	140	122	20	4	0	0	6	26	9	24	4	164	255	197	452	33	202	19	4	202	23	—	—	—	—	—	—
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	23	—	—	—	—	—	—
2024	17	ROK MLE	DSL Nationals	—	94	86	15	1	1	0	5	19	3	5	2	174	245	209	454	35	229	20	5	211	29	—	—	—	—	—	—
2025	18	ROK MLE	DSL Nationals	—	140	124	20	4	0	0	6	26	9	24	4	161	255	194	449	32	191	19	4	202	23	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	17	ROK MLE	DSL Nationals	—	94	86	15	1	1	0	5	19	3	5	2	174	245	209	454	35	229	20	5	211	29	—	—	—	—	—	—
2025	18	ROK MLE	DSL Nationals	—	140	124	20	4	0	0	6	26	9	24	4	161	255	194	449	32	191	19	4	202	23	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	20	MLB MLE	WSH	0%	250	228	50	8	2	2	15	60	5	7	1	218	279	289	568	72	286	24	6	260	62	-11	+1	+0	+1	+5	-0.1
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	21	MLB MLE	WSH	34%	121	111	25	4	1	1	7	29	2	3	0	222	285	304	589	83	287	24	6	268	68	-5	+1	+0	+0	+3	-0.1
2029	22	MLB MLE	WSH	48%	266	242	55	9	2	3	17	63	5	7	1	225	289	318	607	92	289	24	6	275	72	-9	+1	+0	+1	+6	-0.1
2030	23	MLB MLE	WSH	54%	370	336	77	12	3	5	24	87	7	10	1	228	292	329	621	101	290	24	6	281	76	-10	+2	+0	+1	+8	0.1
2031	24	MLB MLE	WSH	55%	441	401	92	15	3	7	29	104	8	12	2	231	296	339	634	108	291	24	7	286	80	-11	+2	+0	+2	+10	0.2
2032	25	MLB MLE	WSH	56%	484	440	102	16	3	9	32	113	9	13	2	233	298	346	644	113	291	23	7	290	82	-10	+2	+0	+2	+10	0.4
2033	26	MLB MLE	WSH	56%	509	461	108	17	4	10	34	119	9	13	2	233	298	349	647	116	291	23	7	291	83	-10	+2	+0	+2	+11	0.4
2034	27	MLB MLE	WSH	55%	520	471	110	17	4	10	35	123	9	14	2	232	297	346	643	114	290	24	7	289	82	-11	+2	+0	+2	+11	0.4
2035	28	MLB MLE	WSH	55%	523	474	109	17	4	9	35	125	9	13	2	230	295	341	636	111	289	24	7	287	80	-12	+2	-1	+2	+11	0.2
2036	29	MLB MLE	WSH	58%	518	470	107	17	3	9	34	125	9	13	2	227	292	335	626	107	288	24	7	283	77	-14	+2	-1	+2	+11	-0.0
2037	30	MLB MLE	WSH	60%	510	464	103	16	3	8	33	125	8	12	2	224	288	326	614	102	285	25	6	278	74	-16	+2	-2	+2	+11	-0.3
2028	21	MLB CTX	WSH	34%	42	38	7	1	0	0	3	10	1	1	0	221	284	301	585	80	286	24	7	267	68	-2	+0	+0	+0	+1	-0.0
2029	22	MLB CTX	WSH	48%	129	118	27	4	1	2	8	31	2	3	1	224	288	315	603	90	287	24	6	274	72	-4	+0	+0	+0	+3	-0.1
2030	23	MLB CTX	WSH	54%	201	182	42	7	1	3	13	48	4	5	1	228	292	326	618	98	289	24	6	280	76	-6	+1	+0	+1	+4	0.0
2031	24	MLB CTX	WSH	55%	244	222	50	8	1	4	16	57	4	7	1	230	295	336	630	105	290	23	7	285	80	-6	+1	+0	+1	+5	0.1
2032	25	MLB CTX	WSH	56%	271	246	57	9	2	5	18	64	5	7	1	232	297	343	640	111	290	24	7	288	82	-6	+1	+0	+1	+6	0.2
2033	26	MLB CTX	WSH	56%	286	260	60	10	2	5	19	67	5	8	1	232	297	346	643	114	290	23	7	290	83	-6	+1	+0	+1	+6	0.3
2034	27	MLB CTX	WSH	55%	288	262	61	10	2	5	19	68	5	8	1	231	296	343	639	112	289	24	7	288	82	-6	+1	+0	+1	+6	0.2
2035	28	MLB CTX	WSH	55%	287	261	60	10	2	5	19	68	5	7	1	229	294	338	633	109	288	24	7	285	80	-7	+1	-0	+1	+6	0.1
2036	29	MLB CTX	WSH	58%	301	273	62	10	2	5	20	73	5	7	1	227	291	332	623	105	287	24	7	282	77	-8	+1	-1	+1	+7	-0.0
2037	30	MLB CTX	WSH	60%	307	279	63	10	2	5	20	75	5	7	1	223	287	324	611	101	285	24	7	277	74	-9	+1	-1	+1	+7	-0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2356	2141	489	79	15	39	155	561	41	60	9	228	293	334	627	106	290	24	7	283	76	-59	+8	-2	+8	+51	0.6
/ 162G	—	A+C		—	650	591	135	22	4	11	43	155	11	17	2	228	293	335	628	107	290	24	7	283	76	-16	+2	-1	+2	+14	0.2
Career	—	MLE		—	4566	4143	937	147	32	71	295	1075	88	141	22	226	292	329	620	102	286	24	6	280	76	-111	+16	-4	+15	+94	1.0
/ 162G	—	MLE		—	650	590	134	21	5	10	42	153	13	20	3	227	293	331	624	103	288	24	6	280	76	-17	+2	-1	+2	+14	0.2

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Chris 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
#2Tom Downey'09-'15 * career totals — 6 seasons, 2,468 PA	3.7	2,468	7	87	234*	299*	359*	+17	-2	3.8	3.8
/162	664	2	23	+4.6	-0.5	1.0	pk7: 4
#3Sam Bohne'16-'26 * career totals — 6 seasons, 2,593 PA	3.9	2,593	16	75	230*	300*	367*	+13	+3	2.8	2.8
/162	664	4	19	+3.4	+0.8	0.7	pk7: 3
#4Alexi 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
#5Jimmy Burke'01-'05 * career totals — 5 seasons, 2,093 PA	3.2	2,093	1	86	236*	296*	348*	+7	+4	2.7	2.7
/162	664	0	27	+2.3	+1.4	0.9	pk7: 3
#6Carlos Sanchez'14-'22 * career totals — 6 seasons, 2,503 PA	3.8	2,503	32	30	248*	305*	353*	+8	+0	2.1	2.6
/162	664	8	8	+2.0	+0.0	0.6	pk7: 3
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 6 projected seasons	3.7	2,425	40	63	230	291	337	+9	+3	2.2	2.2
/162	664	11	17	+2.4	+0.8	0.6	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
Angel Requena (OGILVIE)	20	—	—	—	—	216/277/287	71	286	0	2	24%	6%	62	-0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Troy Stokes Jr. 2016 · A	20	42→40	38→50	54→55	44	200/273/281	81	280	6	20	29%	7%	59	-1.6	210/281/330	120	279	11	18	27%	7%	74	-0.6	204/280/342	138	273	13	19	29%	8%	74	-0.5
✕Cesar Gonzalez 2015 · A	20	42	36→40	54→60	43	195/260/262	67	275	2	19	28%	7%	49	-2.4	203/255/272	69	317	3	11	34%	6%	50	-2.3	184/229/215	32	332	0	4	42%	5%	23	-1.0
✕Gilberto Celestino 2019 · A	20	43→53	38→45	52→55	42	209/257/289	80	280	6	12	27%	6%	54	-2.0	226/281/328	102	291	8	8	24%	7%	72	-0.7	239/317/316	76	309	5	10	22%	9%	81	-0.0
✕Pablo Aliendo 2021 · A	20	38	36→50	50→45	44	181/261/246	65	268	3	13	31%	8%	47	-2.5	202/271/300	98	303	9	5	34%	6%	63	-1.3	206/275/350	144	296	17	5	34%	7%	73	-0.3
✕Jose Ramos 2021 · A	20	41→44	36→50	48→45	43	194/262/264	70	258	3	9	25%	6%	51	-2.2	218/281/363	145	322	16	4	35%	7%	81	-0.1	210/279/360	150	310	18	4	36%	7%	78	-0.2
✕Tito Polo 2015 · A	20	43→53	39→45	54→60	42	206/268/296	90	278	5	17	27%	6%	61	-1.5	222/276/320	98	295	8	26	26%	5%	69	-0.9	235/290/350	114	311	11	32	27%	5%	78	-0.2
✕Jose Paez 2014 · A	20	43	37→45	50	39	203/249/286	83	278	4	11	27%	5%	50	-2.3	205/256/282	77	317	4	10	34%	6%	52	-2.2	192/248/248	56	315	4	11	38%	6%	38	-0.6
✕Emilio King 2010 · A	20	39	37→45	50→40	43	185/269/261	75	247	3	9	25%	6%	55	-2.0	201/250/286	85	299	6	4	33%	4%	51	-2.2	211/248/304	94	307	7	2	33%	3%	51	-1.1
✕Ronarsy Ledesma 2013 · A	20	45	38→45	50	46	212/286/299	87	263	3	13	20%	6%	69	-0.9	206/258/299	93	276	6	9	26%	5%	57	-1.8	193/236/284	91	271	8	8	31%	4%	43	-0.9
✕Heiker Meneses 2011 · A	20	37→47	36→40	54→55	41	179/248/245	66	260	4	18	31%	7%	42	-2.9	225/274/303	78	328	4	17	31%	5%	63	-1.3	236/284/314	78	342	3	18	30%	4%	66	-0.8
✕Nick Allen 2019 · A	20	43→53	35→40	52→50	42	200/249/258	58	260	2	14	23%	5%	44	-2.8	223/272/312	89	287	5	14	23%	6%	65	-1.2	253/316/328	75	310	5	13	19%	8%	84	+0.1
✕Glenn Santiago 2021 · A	20	41	36→40	54→45	48	191/268/264	73	243	2	13	21%	8%	54	-2.0	204/266/293	89	275	7	9	27%	7%	59	-1.6	185/249/263	77	271	7	8	32%	7%	44	-1.1
✕Daniel Lopez 2011 · A	19	42	35→45	49→60	43	194/267/256	61	260	2	12	24%	6%	52	-2.2	219/280/308	89	280	5	17	22%	6%	68	-1.0	240/299/357	117	293	6	30	19%	5%	83	+0.0
✕Johan Mieses 2015 · A	20	39→33	39→55	59→50	45	191/248/281	90	242	5	22	23%	6%	49	-2.4	195/243/347	152	271	18	8	34%	5%	63	-1.3	192/268/358	166	237	23	7	30%	7%	73	-0.4
✕Adan Velazquez 2010 · A	20	41→51	40→45	53→50	45	197/263/292	95	245	6	11	22%	6%	58	-1.7	203/256/288	85	282	5	10	28%	5%	54	-2.0	254/293/350	97	308	8	4	20%	4%	79	-0.1
✕Lolo Sanchez 2019 · A	20	44→45	38→45	48→55	46	212/268/287	76	256	5	17	19%	6%	58	-1.7	216/283/318	102	263	8	21	20%	6%	72	-0.7	209/287/314	106	250	10	23	20%	7%	71	-0.5
✕Andrés Nolaya 2024 · A	19	39	36→45	47→50	46	183/256/246	64	263	3	12	30%	8%	45	-2.7	196/270/269	73	284	4	17	30%	8%	55	-1.9	201/281/282	81	280	7	21	28%	8%	61	-0.5
✕Cristian Hernández 2024 · A	20	39→48	37→45	53→60	38	187/246/255	68	296	5	17	37%	7%	42	-2.9	213/278/306	93	307	7	28	30%	8%	67	-1.1	217/285/319	102	301	8	34	29%	8%	69	-0.8
✕Braulio Vasquez 2019 · A	20	43	38→40	47→65	40	207/259/281	75	292	5	11	30%	6%	53	-2.1	193/262/269	76	307	6	15	36%	7%	53	-2.1	189/270/268	79	286	5	32	33%	8%	53	-0.8
✕Jorge Alcantara 2012 · A	20	44	40→45	52→50	42	209/274/307	98	306	7	12	32%	8%	65	-1.2	190/261/285	95	288	7	14	34%	8%	55	-1.9	143/221/238	95	216	5	25	34%	8%	30	-1.0

Angel Requena

Career Stats + Projections

Career Comps

Career Path Comps