Rendy Naveo — OGILVIE

Rendy NaveoSS DSL Miami

Age 18 S/R 6'1" / 155 lbs ROK HR -10%H -3% Svc 0.0 · Ctrl thru 2037

2026 ROS PROJECTION39 act + 5 ros · stats below = ROS only

showingROS

wRC+†65

AVG/OBP/SLG.200 / .200 / .200

PA5

HR0

K%20

BB%8

BABIP275

ISO64

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$21M ctrl surplus

Tools · Contract

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	+0.6	$2M	+$1M
2033	Pre-Arb	$1.0M	+0.6	$1M	+$1.0M
2034	Pre-Arb	$1.0M	+0.7	$2M	+$1M
2035	Arb-1	$3M	+0.6	$1M	+$0.0M (cut)
2036	Arb-2	$5M	+0.6	$1M	+$0.0M (cut)
2037	Arb-3	$6M	+0.5	$0.9M	+$0.0M (cut)
Totals		$3M		$8M	+$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 Marlins	—	50	38	7	1	0	0	9	8	3	3	2	184	380	211	591	26	233	16	18	304	92	-0	-0	—	—	+1	0.0
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	17	ROK MLE	DSL Marlins	—	50	42	6	1	0	0	5	12	3	3	2	143	280	167	447	24	194	24	10	216	32	-4	-0	—	—	+1	-0.3
2025	17	ROK MLE	DSL Marlins	—	50	42	6	1	0	0	5	12	3	3	2	143	280	167	447	24	200	24	10	216	32	—	—	—	—	—	—
2025	17	ROK RAW	DSL Marlins	—	50	38	7	1	0	0	9	8	3	3	2	184	380	211	591	26	233	16	18	304	32	—	—	—	—	—	—
2025	17	ROK MLE	DSL Marlins	—	50	42	6	1	0	0	5	12	3	3	2	143	280	167	447	24	194	24	10	216	32	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2025	17	ROK MLE	DSL Marlins	—	50	42	6	1	0	0	5	12	3	3	2	143	280	167	447	24	194	24	10	216	32	—	—	—	—	—	—
YTD	18	ROK MLE	MIA	—	39	34	6	0	0	0	2	6	2	0	0	176	263	176	440		214	15	5	206	26	-3	+0	+0	+0	+1	-0.2
▸ 2026 season
YTD	18	ROK RAW	MIA	—	39	32	7	0	0	0	4	4	2	0	0	219	342	219	561		250	10	10	272	26	—	—	—	—	—	—
ROS	18	ROK MLE	MIA	0%	5	5	1	0	0	0	0	1	0	0	0	200	200	200	400		282	20	0	264	65	-0	+0	+0	+0	+0	-0.0
TOT	18	ROK MLE	MIA	—	44	39	7	0	0	0	2	7	2	0	0	179	256	179	435		219	16	5	213	30	-4	+0	+0	+0	+1	-0.2
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	19	MLB MLE	MIA	34%	148	133	29	4	1	1	11	34	3	2	0	218	293	286	578	68	285	23	7	275	72	-5	+0	+0	+2	+3	0.0
2028	20	MLB MLE	MIA	48%	296	264	60	8	2	4	23	67	7	4	1	227	306	318	624	91	287	23	8	283	77	-8	+0	+0	+3	+6	0.2
2029	21	MLB MLE	MIA	54%	410	365	84	12	2	6	33	92	9	5	1	230	310	323	633	93	288	22	8	288	81	-9	+1	+0	+4	+9	0.5
2030	22	MLB MLE	MIA	57%	492	439	102	14	3	8	39	110	11	6	2	232	311	333	643	100	289	22	8	291	83	-10	+0	+0	+5	+11	0.7
2031	23	MLB MLE	MIA	58%	548	486	114	16	3	9	44	122	13	7	2	235	315	335	650	101	290	22	8	293	85	-10	+1	+0	+6	+12	0.9
2032	24	MLB MLE	MIA	57%	584	519	122	17	3	10	47	130	13	7	2	235	314	337	652	102	291	22	8	295	86	-10	+1	+0	+6	+13	1.0
2033	25	MLB MLE	MIA	57%	606	538	126	18	3	10	49	135	14	8	2	234	314	335	649	100	291	22	8	296	87	-10	+1	+0	+6	+13	1.1
2034	26	MLB MLE	MIA	57%	617	548	129	18	3	11	50	137	14	8	2	235	315	339	655	104	291	22	8	297	87	-9	+1	+0	+7	+13	1.2
2035	27	MLB MLE	MIA	55%	619	549	129	18	3	11	51	138	14	8	2	235	316	339	655	104	291	22	8	297	87	-9	+1	+0	+7	+13	1.2
2036	28	MLB MLE	MIA	55%	616	546	128	18	3	11	51	138	14	7	2	234	316	339	655	104	291	22	8	296	87	-10	+1	-1	+7	+13	1.0
2037	29	MLB MLE	MIA	53%	607	538	124	17	3	10	50	138	14	7	2	230	312	329	641	99	290	23	8	295	86	-10	+1	-1	+7	+13	0.9
2038	30	MLB MLE	MIA	53%	597	528	122	17	3	10	50	137	14	6	1	231	314	331	646	100	289	23	8	292	84	-12	+1	-2	+6	+13	0.7
2039	31	MLB MLE	MIA	52%	583	517	118	16	3	9	48	135	13	5	1	228	310	323	633	95	287	23	8	288	81	-13	+1	-3	+6	+13	0.4
2040	32	MLB MLE	MIA	52%	565	500	112	15	3	8	47	133	13	4	1	224	307	314	621	90	284	24	8	283	78	-15	+0	-4	+6	+12	0.0
2041	33	MLB MLE	MIA	52%	535	474	103	13	2	7	44	129	12	3	1	217	300	297	597	80	281	24	8	277	74	-17	+0	-4	+6	+12	-0.4
2027	19	MLB CTX	MIA	34%	51	46	9	1	0	0	4	12	1	1	0	196	275	217	492	22	278	24	8	253	72	-2	+0	+0	+1	+1	0.0
2028	20	MLB CTX	MIA	48%	143	128	29	4	1	2	11	32	3	2	0	227	303	320	623	94	280	22	8	260	77	-4	+0	+0	+2	+3	0.1
2029	21	MLB CTX	MIA	54%	222	197	44	6	1	3	18	50	5	3	1	223	305	310	614	86	281	23	8	265	81	-5	+0	+0	+2	+5	0.2
2030	22	MLB CTX	MIA	57%	278	248	56	8	1	4	22	62	6	4	1	226	304	315	619	89	282	22	8	268	83	-6	+0	+0	+3	+6	0.4
2031	23	MLB CTX	MIA	58%	316	281	65	9	2	5	25	71	7	4	1	231	310	331	641	100	283	22	8	270	85	-6	+0	+0	+3	+7	0.5
2032	24	MLB CTX	MIA	57%	333	295	67	9	2	5	27	74	8	4	1	227	309	322	631	95	284	22	8	272	86	-6	+0	+0	+4	+7	0.6
2033	25	MLB CTX	MIA	57%	344	305	70	9	2	6	28	77	8	4	1	230	311	331	642	102	284	22	8	273	87	-5	+0	+0	+4	+7	0.6
2034	26	MLB CTX	MIA	57%	349	310	71	9	2	6	28	78	8	4	1	229	309	329	638	100	284	22	8	274	87	-5	+0	+0	+4	+8	0.7
2035	27	MLB CTX	MIA	55%	343	304	70	9	2	6	28	77	8	4	1	230	312	332	644	102	284	22	8	274	87	-5	+0	+0	+4	+7	0.6
2036	28	MLB CTX	MIA	55%	338	299	68	9	2	5	28	76	8	4	1	227	310	321	632	94	283	22	8	273	87	-5	+0	-0	+4	+7	0.6
2037	29	MLB CTX	MIA	53%	325	288	66	9	2	5	27	74	7	4	1	229	311	326	637	97	283	23	8	271	86	-6	+0	-1	+3	+7	0.5
2038	30	MLB CTX	MIA	53%	314	278	62	8	1	5	26	72	7	3	1	223	305	313	618	90	282	23	8	269	84	-6	+0	-1	+3	+7	0.3
2039	31	MLB CTX	MIA	52%	304	269	59	8	1	4	25	71	7	3	1	219	302	301	603	82	280	23	8	265	81	-7	+0	-1	+3	+7	0.2
2040	32	MLB CTX	MIA	52%	293	260	56	7	1	4	24	69	7	2	1	215	299	296	595	81	278	24	8	261	78	-8	+0	-2	+3	+6	-0.0
2041	33	MLB CTX	MIA	52%	277	246	51	6	1	3	23	67	6	2	0	207	291	276	567	69	275	24	8	255	74	-9	+0	-2	+3	+6	-0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	4230	3754	843	111	21	63	344	962	96	48	12	225	306	316	622	91	283	23	8	268	83	-84	+5	-8	+45	+92	5.1
/ 162G	—	A+C		—	650	577	130	17	3	10	53	148	15	7	2	225	307	317	625	92	284	23	8	268	83	-13	+1	-1	+7	+14	0.8
Career	—	MLE		—	7878	6991	1609	222	40	125	642	1788	181	90	24	230	311	327	638	97	290	23	8	291	83	-157	+9	-15	+84	+170	9.2
/ 162G	—	MLE		—	650	577	132	18	3	10	53	148	15	7	2	229	310	322	632	94	289	23	8	291	83	-13	+1	-1	+7	+14	0.8

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Bobby 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
#2Cliff 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
#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
#4Gordon 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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 9 projected seasons	6.5	4,286	67	48	231	308	328	+46	+27	8.1	6.9
/162	664	10	7	+7.1	+4.2	1.3	pk7: 6
#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
#6Yolmer 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

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
Rendy Naveo (OGILVIE)	18	—	—	—	—	214/291/272	58	282	0	1	23%	7%	65	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Riley Unroe 2015 · A	19	39→48	37→45	47→55	46	188/255/261	74	254	4	8	27%	8%	48	-2.5	196/259/258	62	280	4	10	29%	7%	48	-2.5	221/306/334	113	298	11	26	27%	10%	81	-0.0
✕Michael Chirinos 2018 · A	18	41	37→40	51→55	50	193/251/266	73	225	4	11	16%	7%	47	-2.5	226/292/296	70	250	5	13	11%	8%	69	-0.9	236/307/298	61	253	5	16	8%	9%	76	-0.2
✕Eliezer Álvarez 2013 · A	18	38→48	37→45	46→55	47	183/255/256	73	241	5	11	25%	8%	47	-2.6	207/259/305	98	267	5	11	23%	6%	59	-1.7	254/307/365	110	342	6	19	26%	6%	89	+0.3
✕Luis Lara 2023 · A	18	42→52	38→40	45→60	46	200/259/284	84	246	4	8	20%	6%	54	-2.0	217/283/284	67	279	3	25	22%	7%	63	-1.3	236/313/314	77	298	5	32	20%	9%	79	-0.2
✕Francis Grullon 2019 · A	18	39	35→45	47→55	45	184/247/246	62	246	2	9	25%	7%	41	-3.0	202/273/292	90	249	7	13	20%	8%	62	-1.4	191/274/289	97	228	9	18	19%	9%	61	-0.4
✕Bengie González 2009 · A	19	41→51	34→40	51→50	47	194/264/244	51	272	2	11	28%	8%	47	-2.5	207/258/252	45	280	1	12	25%	6%	46	-2.6	255/307/351	95	309	4	12	18%	7%	84	+0.1
✕Diego Velasquez 2023 · A	19	42→52	34→40	50	44	199/256/250	51	261	2	7	24%	6%	45	-2.7	234/298/318	84	300	6	14	22%	7%	77	-0.3	245/313/315	70	311	3	18	20%	8%	79	-0.2
✕Francisco Aponte 2009 · A	18	43	36→30	49→60	46	205/268/268	64	265	4	9	23%	7%	54	-2.0	230/305/289	59	291	2	17	20%	8%	73	-0.6	224/288/270	46	274	0	22	17%	8%	61	-0.6
✕José Fermín 2017 · A	18	42→51	37→45	48→55	44	201/258/285	84	274	3	8	27%	7%	54	-2.0	203/252/278	75	241	4	11	17%	4%	50	-2.3	244/330/367	123	265	11	26	12%	10%	98	+0.7
✕Ehire Adrianza 2007 · A	17	37→47	35→50	46→50	47	176/259/231	55	255	2	7	29%	9%	44	-2.8	195/263/258	63	242	2	11	19%	8%	50	-2.3	241/326/373	132	289	11	1	19%	10%	98	+0.4
✕Rosell Herrera 2012 · A	19	42→52	39→45	49→55	43	203/258/285	82	265	6	9	25%	6%	54	-2.0	224/273/308	84	303	7	10	27%	6%	65	-1.2	247/301/337	90	312	4	24	21%	7%	79	-0.1
✕Hidekel Abreu 2016 · A	18	42	36→40	49→50	45	199/266/263	64	280	3	8	28%	8%	52	-2.2	223/284/304	81	293	5	10	24%	7%	68	-1.0	237/299/317	80	300	6	12	21%	8%	72	-0.3
✕Yairo Muñoz 2013 · A	18	41→51	37→45	48→55	41	195/247/274	79	274	2	8	29%	6%	47	-2.6	202/253/288	86	262	6	7	24%	6%	53	-2.1	263/305/392	130	320	14	17	22%	5%	92	+0.4
✕Jonah Heim 2014 · A	19	41→50	36→55	46→40	46	192/250/262	69	251	3	6	24%	7%	45	-2.7	196/242/273	77	249	4	5	22%	5%	45	-2.7	227/289/390	163	253	20	3	19%	8%	87	+0.3
✕Luis Rengifo 2015 · A	18	38→48	36→55	48→55	48	178/255/244	66	237	3	10	25%	8%	45	-2.7	215/271/303	88	274	5	18	22%	6%	63	-1.4	271/321/427	157	304	18	16	17%	6%	109	+1.5
✕Ruben Santana 2017 · A	19	43	35→45	43→55	41	204/248/262	57	271	2	8	25%	5%	44	-2.8	233/288/312	79	284	1	11	17%	6%	71	-0.8	228/289/307	79	284	1	14	18%	7%	69	-0.3
✕Allan Castro 2022 · A	19	38→44	39→45	51→50	41	184/253/278	94	271	4	6	32%	7%	51	-2.2	195/264/303	108	279	8	11	31%	8%	61	-1.5	202/276/313	110	274	9	14	28%	9%	65	-1.0
✕Carlos Garcia 2010 · A	18	38→48	34→40	43→55	51	178/270/230	52	243	2	8	26%	10%	47	-2.5	204/273/260	56	254	2	22	19%	8%	54	-2.0	245/292/307	62	302	3	21	19%	5%	68	-0.5
✕Rafael Herrera 2019 · A	18	43	35→40	52→50	45	200/267/266	67	269	2	12	25%	7%	53	-2.1	218/286/298	80	291	4	12	24%	8%	68	-1.0	229/304/310	81	297	4	17	22%	9%	74	-0.2
✕Ramón Flores 2010 · A	18	38→48	36→45	46→50	47	182/254/249	67	244	3	8	25%	8%	45	-2.7	220/277/307	87	284	6	9	23%	7%	66	-1.1	248/322/344	96	296	8	8	18%	9%	88	+0.3

Career Stats + Projections

Career Comps

Career Path Comps