Nauris De La Cruz

Nauris De La CruzOF FCL Nationals

Age 18 L/L 6'0" / 160 lbs ROK Svc 0.0 · Ctrl thru 2036

2026 ROS PROJECTION198 act + 17 ros · stats below = ROS only

showingROS

wRC+†67

AVG/OBP/SLG.133 / .235 / .133

PA17

HR0

K%29

BB%12

BABIP276

ISO101

MLB%0%

Value2026 · WAR

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

Tools · ContractCON 50 / POW 47

Toolsscout grade

CONTACT50

scouting grade only

POWER47

scouting grade only

EYE40

scouting grade only

SPEED55

scouting grade only

DEFENSE50

scouting grade only

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

Status MiLB

MLB Debut 2031

Service 0 yrs (est)

Team Control Through 2036

First FA Year 2037

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2031
2027	MiLB	still in minors · estimated debut 2031
2028	MiLB	still in minors · estimated debut 2031
2029	MiLB	still in minors · estimated debut 2031
2030	MiLB	still in minors · estimated debut 2031
2031	Pre-Arb	$0.9M	+0.2	$0.5M	+$0.0M
2032	Pre-Arb	$0.9M	+0.2	$0.5M	+$0.0M
2033	Pre-Arb	$1.0M	+0.3	$0.7M	+$0.2M
2034	Arb-1	$2M	+0.3	$0.7M	+$0.0M (cut)
2035	Arb-2	$3M	+0.3	$0.6M	+$0.0M (cut)
2036	Arb-3	$4M	+0.3	$0.6M	+$0.0M (cut)
Totals		$3M		$4M	+$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. 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	17	ROK	DSL Nationals	—	143	109	32	9	1	2	30	17	2	15	5	294	454	450	903	156	326	12	21	404	160	+10	+1	—	—	+3	1.5
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	17	ROK MLE	DSL Nationals	—	143	121	25	7	1	1	18	25	2	15	5	207	319	306	625	99	238	17	13	282	77	-4	+1	—	—	+3	0.0
2025	17	ROK MLE	DSL Nationals	—	143	121	25	7	1	1	18	25	2	15	5	207	319	306	625	99	247	17	13	282	77	—	—	—	—	—	—
2025	17	ROK RAW	DSL Nationals	—	143	109	32	9	1	2	30	17	2	15	5	294	454	450	903	156	326	12	21	404	77	—	—	—	—	—	—
2025	17	ROK MLE	DSL Nationals	—	143	122	25	7	1	1	18	25	2	15	5	205	319	303	622	98	238	17	13	282	77	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2025	17	ROK MLE	DSL Nationals	—	143	122	25	7	1	1	18	25	2	15	5	205	319	303	622	98	238	17	13	282	77	—	—	—	—	—	—
YTD	18	ROK MLE	WSH	—	198	172	32	1	1	2	20	56	3	21	5	186	282	238	520	52	256	28	10	248	54	-11	+2	+0	-1	+4	-0.6
▸ 2026 season
YTD	18	ROK RAW	WSH	—	198	157	41	1	2	3	33	39	3	21	5	261	395	350	745	89	322	20	17	342	54	—	—	—	—	—	—
ROS	18	ROK MLE	WSH	0%	17	15	2	0	0	0	2	5	0	1	0	133	235	133	369		278	29	12	268	67	-1	+0	-0	-0	+0	-0.0
TOT	18	ROK MLE	WSH	—	215	187	34	1	1	2	22	61	3	22	5	182	278	230	508	48	252	28	10	250	55	-11	+2	-0	-1	+5	-0.6
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	19	MLB MLE	WSH	25%	251	223	49	7	2	4	23	65	3	7	1	220	301	323	624	103	285	26	9	283	78	-7	+1	-0	-2	+5	-0.2
2028	20	MLB MLE	WSH	38%	377	335	75	10	3	8	34	96	5	10	2	224	305	343	648	119	287	25	9	292	84	-7	+1	-1	-2	+8	-0.1
2029	21	MLB MLE	WSH	45%	470	418	94	13	3	10	43	118	6	11	2	225	306	342	648	117	289	25	9	298	87	-7	+1	-1	-3	+10	0.1
2030	22	MLB MLE	WSH	49%	535	474	108	15	4	12	49	133	7	12	3	228	309	352	662	124	290	25	9	301	90	-6	+1	-1	-3	+12	0.3
2031	23	MLB MLE	WSH	51%	579	513	119	17	4	14	53	143	8	13	3	232	314	363	676	131	290	25	9	304	92	-6	+1	-1	-3	+13	0.4
2032	24	MLB MLE	WSH	51%	607	538	125	18	4	15	56	150	8	14	3	232	314	364	678	132	291	25	9	306	93	-5	+2	-1	-4	+13	0.5
2033	25	MLB MLE	WSH	52%	623	551	128	18	4	15	58	153	9	14	3	232	316	361	677	129	291	25	9	307	94	-5	+2	-1	-4	+13	0.6
2034	26	MLB MLE	WSH	52%	630	557	129	18	4	16	59	155	9	14	3	232	315	364	680	133	291	25	9	307	94	-5	+2	-1	-4	+14	0.6
2035	27	MLB MLE	WSH	51%	630	557	129	18	4	16	59	155	9	14	3	232	315	364	680	133	291	25	9	307	94	-5	+2	-1	-4	+14	0.6
2036	28	MLB MLE	WSH	50%	625	551	127	18	4	15	60	155	9	14	3	230	316	359	675	129	290	25	10	306	93	-5	+2	-2	-4	+14	0.5
2037	29	MLB MLE	WSH	49%	615	542	124	17	4	15	59	154	9	13	3	229	315	358	673	129	289	25	10	304	92	-6	+1	-2	-4	+13	0.3
2038	30	MLB MLE	WSH	48%	605	534	122	17	4	14	58	153	8	12	3	228	313	354	667	125	288	25	10	301	90	-7	+1	-3	-4	+13	0.0
2039	31	MLB MLE	WSH	47%	591	521	116	16	3	13	57	151	8	12	3	223	309	340	649	117	286	26	10	297	87	-9	+1	-4	-4	+13	-0.2
2027	19	MLB CTX	WSH	25%	62	55	12	2	0	1	6	16	1	2	0	218	306	309	616	91	283	26	10	272	78	-2	+0	-0	-0	+1	-0.0
2028	20	MLB CTX	WSH	38%	144	128	29	4	1	3	13	37	2	4	1	227	308	344	651	117	285	26	9	280	84	-3	+0	-0	-1	+3	-0.0
2029	21	MLB CTX	WSH	45%	213	188	43	6	1	5	20	53	3	5	1	229	313	351	664	122	287	25	9	286	87	-3	+1	-0	-1	+5	0.0
2030	22	MLB CTX	WSH	49%	264	234	53	8	1	6	24	66	4	6	1	226	309	346	655	120	288	25	9	289	90	-3	+1	-0	-2	+6	0.1
2031	23	MLB CTX	WSH	51%	297	264	61	9	2	7	27	73	4	7	1	231	312	360	672	129	288	25	9	292	92	-3	+1	-0	-2	+6	0.2
2032	24	MLB CTX	WSH	51%	313	277	64	9	2	8	29	77	4	7	2	231	313	365	678	134	289	25	9	293	93	-3	+1	-0	-2	+7	0.2
2033	25	MLB CTX	WSH	52%	321	284	66	9	2	8	30	79	4	7	2	232	314	363	677	130	289	25	9	294	94	-2	+1	-0	-2	+7	0.3
2034	26	MLB CTX	WSH	52%	325	287	66	9	2	8	30	80	5	7	2	230	314	359	673	129	289	25	9	295	94	-2	+1	-0	-2	+7	0.3
2035	27	MLB CTX	WSH	51%	320	282	65	9	2	8	30	79	5	7	2	230	315	362	677	131	289	25	9	295	94	-2	+1	-0	-2	+7	0.3
2036	28	MLB CTX	WSH	50%	313	276	64	9	2	8	30	78	4	7	1	232	316	366	682	134	288	25	10	294	93	-3	+1	-1	-2	+7	0.3
2037	29	MLB CTX	WSH	49%	300	264	60	8	2	7	29	75	4	6	1	227	313	352	665	125	288	25	10	292	92	-3	+1	-1	-2	+6	0.1
2038	30	MLB CTX	WSH	48%	290	256	58	8	1	7	28	73	4	6	1	227	312	348	660	121	286	25	10	289	90	-3	+1	-1	-2	+6	0.0
2039	31	MLB CTX	WSH	47%	280	247	55	8	1	6	27	72	4	5	1	223	309	336	645	113	284	26	10	285	87	-4	+1	-2	-2	+6	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	3442	3042	696	98	19	82	323	858	48	76	16	229	313	354	667	126	290	25	9	291	90	-37	+9	-9	-21	+75	1.8
/ 162G	—	A+C		—	650	574	132	19	4	15	61	162	9	14	3	230	313	355	669	125	292	25	9	291	90	-7	+2	-2	-4	+14	0.3
Career	—	MLE		—	7298	6450	1472	209	48	168	688	1811	100	176	40	228	312	354	666	125	289	25	9	302	90	-80	+18	-18	-43	+155	3.3
/ 162G	—	MLE		—	650	574	131	19	4	15	61	161	9	16	4	228	312	354	665	125	289	25	9	302	90	-7	+2	-2	-4	+14	0.3

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Will Venablelast yr '15 career totals — 8 seasons, 3,127 PA	4.7	3,127	81	135	251	317	406	-20	-4	8.9	8.7
/162	664	17	29	-4.2	-0.8	1.9	pk7: 9
#2Desmond Jenningslast yr '16 career totals — 6 seasons, 2,327 PA	3.5	2,327	55	93	245	323	394	-9	+10	8.1	8.1
/162	664	16	27	-2.5	+2.7	2.3	pk7: 8
#3Michael 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
#4Gregory 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
#5Tony 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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 7 projected seasons	5.4	3,587	84	80	230	310	357	-22	+0	4.5	4.1
/162	664	16	15	-4.0	+0.0	0.8	pk7: 4
#6Dustin 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

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
Nauris De La Cruz (OGILVIE)	18	25→50	30→47	55	40	206/286/292	85	278	2	7	27%	9%	67	-0.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Juan Villavicencio 2023 · A	18	43→45	39→50	55	42	205/265/294	89	297	6	14	32%	7%	59	-1.7	186/260/273	87	276	6	12	32%	8%	53	-2.1	195/272/312	117	292	11	20	34%	9%	64	-0.5
✕Alberto Rodriguez 2019 · A	18	40→50	40→45	51→50	43	198/259/283	85	277	8	16	30%	7%	54	-2.0	216/272/315	99	296	8	14	28%	7%	66	-1.1	219/279/346	127	314	10	7	32%	7%	73	-0.6
✕Jorbit Vivas 2019 · A	18	41→51	35→45	51→50	46	190/270/254	64	256	2	15	24%	7%	53	-2.1	230/299/329	99	282	6	10	20%	6%	80	-0.1	244/324/361	117	272	11	9	14%	7%	95	+0.9
✕Ronny Ugarte 2023 · A	18	42	44→45	47→30	43	207/277/335	127	282	11	6	29%	7%	74	-0.6	230/289/339	109	300	8	5	24%	7%	78	-0.3	252/312/362	110	332	10	2	25%	7%	89	+0.2
✕Carlos Jimenez 2022 · A	19	38→41	42→50	53→55	44	186/268/288	102	275	10	11	34%	9%	60	-1.6	201/285/320	119	319	11	16	37%	10%	73	-0.6	220/298/374	155	300	18	18	31%	9%	87	+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
✕Akil Baddoo 2018 · A	19	46→53	42→50	52→55	49	219/296/333	114	288	7	10	25%	9%	80	-0.2	198/270/312	114	300	8	13	34%	9%	65	-1.2	236/319/383	147	308	15	24	26%	11%	96	+0.7
●Moisés Sierra 2007 · A	18	42→52	39→50	52→50	42	203/266/292	89	271	6	13	26%	6%	59	-1.6	205/253/299	94	283	8	9	29%	4%	55	-1.9	249/315/369	120	307	12	15	22%	7%	92	+0.6
✕Jose Escobar 2023 · A	18	45→55	43→45	57→45	40	220/270/339	119	285	9	15	26%	5%	71	-0.8	223/290/326	103	293	9	12	26%	7%	76	-0.4	233/299/331	99	302	8	8	24%	7%	78	-0.2
✕Forrest Wall 2015 · A	19	48→55	41→45	56→70	47	227/290/330	103	300	7	17	26%	8%	76	-0.4	222/274/319	97	291	7	16	25%	6%	68	-1.0	253/326/354	101	349	8	50	27%	9%	92	+0.5
✕Enmanuel Valdez 2017 · A	18	40→46	43→55	51→45	46	198/264/316	118	245	9	7	23%	7%	64	-1.3	188/251/299	111	251	9	7	28%	7%	55	-2.0	219/282/397	178	265	23	8	27%	7%	88	+0.3
✕Alek Thomas 2019 · A	19	50→54	38→50	51→50	44	238/283/324	87	297	4	10	21%	6%	72	-0.7	243/298/367	124	326	10	10	27%	7%	87	+0.4	246/302/387	142	310	12	11	24%	7%	91	+0.6
●Moisés Ballesteros 2022 · A	18	45→55	40→50	50→40	52	216/294/311	95	269	7	8	22%	9%	74	-0.5	225/287/355	130	281	15	4	24%	8%	81	-0.1	255/314/382	127	304	14	3	20%	7%	96	+0.9
✕Yeremy Cabrera 2023 · A	18	37→42	38→45	53→60	48	181/263/263	82	240	5	13	26%	8%	52	-2.2	207/289/321	114	272	11	17	26%	9%	75	-0.5	202/287/312	110	269	12	24	27%	8%	70	-0.5
✕Tirso Ornelas 2019 · A	19	43→53	41→50	50→45	45	207/274/304	97	288	8	5	30%	8%	65	-1.2	190/254/267	77	278	5	5	31%	8%	49	-2.4	249/307/375	126	306	13	7	22%	7%	91	+0.6
✕Juan Lagares 2007 · A	18	42→52	40→45	53→50	41	203/261/302	99	285	6	11	30%	6%	59	-1.7	203/241/283	80	277	4	10	27%	4%	46	-2.6	268/308/373	106	324	7	13	19%	4%	89	+0.3
✕Leopoldo Correa 2010 · A	18	41	42→45	50→30	48	197/280/305	107	291	9	5	33%	10%	68	-1.0	210/272/297	87	263	6	3	21%	7%	62	-1.4	212/269/300	89	261	8	0	21%	6%	58	-0.5
✕Ceddanne Rafaela 2019 · A	18	42→52	39→55	51→55	40	205/251/286	81	270	6	16	26%	5%	51	-2.2	205/253/316	111	261	11	14	25%	5%	59	-1.6	253/291/409	156	303	17	19	22%	4%	93	+0.8
✕Dalton Pompey 2011 · A	18	41→51	42→45	50→55	40	205/258/306	101	279	10	11	30%	6%	59	-1.7	201/270/294	93	286	7	18	30%	8%	61	-1.5	258/316/357	98	327	7	29	22%	7%	89	+0.4
●Josue De Paula 2023 · A	18	51	43→50	50→55	51	244/315/357	114	300	9	14	21%	9%	92	+0.7	228/318/325	97	308	8	17	26%	11%	86	+0.3	228/320/369	141	283	16	24	24%	11%	94	+0.8

Career Stats + Projections

Career Comps

Career Path Comps