Rony Bello — OGILVIE

Rony BelloSS DSL Nationals

Age 18 R/R 5'10" / 150 lbs ROK Svc 0.0 · Ctrl thru 2037

2026 ROS PROJECTION136 act + 12 ros · stats below = ROS only

showingROS

wRC+†84

AVG/OBP/SLG.182 / .250 / .182

PA12

HR0

K%25

BB%8

BABIP282

ISO107

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$55M ctrl surplus

Tools · ContractCON 61 / POW 42

Toolsscout grade

CONTACT61

scouting grade only

POWER42

scouting grade only

EYE53

scouting grade only

SPEED69

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	+1.2	$6M	+$6M
2033	Pre-Arb	$1.0M	+1.2	$6M	+$5M
2034	Pre-Arb	$1.0M	+1.3	$6M	+$5M
2035	Arb-1	$5M	+1.2	$5M	+$3M
2036	Arb-2	$9M	+1.2	$4M	+$1M
2037	Arb-3	$12M	+1.0	$3M	+$0.0M (cut)
Totals		$17M		$30M	+$20M

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	—	105	89	18	4	2	0	14	16	2	8	0	202	324	292	616	90	247	15	13	290	82	-2	+2	—	—	+2	0.2
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	17	ROK MLE	DSL Nationals	—	105	94	13	3	1	0	9	24	2	8	0	138	229	191	420	53	188	23	9	197	19	-10	+2	—	—	+2	-0.6
2025	17	ROK MLE	DSL Nationals	—	105	94	13	3	1	0	9	24	2	8	0	138	229	191	420	53	186	23	9	197	19	—	—	—	—	—	—
2025	17	ROK RAW	DSL Nationals	—	105	89	18	4	2	0	14	16	2	8	0	202	324	292	616	90	247	15	13	290	19	—	—	—	—	—	—
2025	17	ROK MLE	DSL Nationals	—	105	93	13	3	1	0	9	24	2	8	0	140	229	194	422	54	188	23	9	197	19	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2025	17	ROK MLE	DSL Nationals	—	105	93	13	3	1	0	9	24	2	8	0	140	229	194	422	54	188	23	9	197	19	—	—	—	—	—	—
YTD	18	ROK MLE	WSH	—	136	116	26	3	1	3	10	23	7	21	6	224	323	345	668	121	247	17	7	290	82	-3	+2	+0	+1	+3	0.3
▸ 2026 season
YTD	18	ROK RAW	WSH	—	136	110	32	4	1	4	16	16	7	21	6	291	414	455	868	164	301	12	12	384	82	—	—	—	—	—	—
ROS	18	ROK MLE	WSH	0%	12	11	2	0	0	0	1	3	0	1	0	182	250	182	432		284	25	8	293	84	-0	+0	+0	+0	+0	0.0
TOT	18	ROK MLE	WSH	—	148	127	28	3	1	3	11	26	7	22	6	220	317	331	648	110	248	18	7	290	83	-3	+2	+0	+2	+3	0.4
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	19	MLB MLE	WSH	34%	207	185	44	7	2	4	16	45	4	7	1	238	312	362	674	124	286	22	8	299	88	-3	+1	+0	+2	+4	0.5
2028	20	MLB MLE	WSH	48%	343	306	73	12	3	7	27	74	7	11	2	239	315	366	681	127	288	22	8	305	92	-3	+1	+0	+4	+7	1.0
2029	21	MLB MLE	WSH	54%	445	397	95	15	3	10	35	95	10	14	3	239	317	368	685	128	289	21	8	309	95	-3	+2	+0	+5	+10	1.4
2030	22	MLB MLE	WSH	57%	516	459	112	18	4	12	41	109	11	16	3	244	321	379	700	135	290	21	8	311	97	-2	+2	+0	+6	+11	1.7
2031	23	MLB MLE	WSH	58%	565	503	122	20	4	13	45	119	12	17	4	243	320	376	695	133	291	21	8	313	98	-1	+2	+0	+6	+12	1.9
2032	24	MLB MLE	WSH	57%	596	531	130	21	5	14	47	125	13	18	4	245	321	382	704	137	292	21	8	314	99	-1	+2	+0	+6	+13	2.1
2033	25	MLB MLE	WSH	57%	615	548	134	22	5	14	49	129	13	18	4	245	321	380	701	135	292	21	8	315	99	-0	+2	+0	+7	+13	2.2
2034	26	MLB MLE	WSH	57%	624	555	136	22	5	15	50	130	14	19	4	245	323	384	707	139	291	21	8	315	99	-0	+2	+0	+7	+14	2.2
2035	27	MLB MLE	WSH	55%	624	554	136	22	5	15	51	131	14	19	4	245	325	384	709	139	291	21	8	315	100	-0	+2	+0	+7	+14	2.3
2036	28	MLB MLE	WSH	55%	620	550	134	22	5	14	51	131	14	18	4	244	324	378	702	135	291	21	8	315	99	-1	+2	-1	+7	+13	2.1
2037	29	MLB MLE	WSH	53%	611	543	132	21	5	14	50	130	13	17	4	243	322	378	699	134	291	21	8	313	98	-2	+2	-1	+7	+13	1.9
2038	30	MLB MLE	WSH	53%	600	532	127	20	4	13	50	129	13	16	3	239	319	365	684	126	290	22	8	310	96	-3	+2	-2	+6	+13	1.7
2039	31	MLB MLE	WSH	57%	586	520	123	20	4	12	48	128	13	16	3	237	317	360	676	123	288	22	8	306	94	-4	+2	-3	+6	+13	1.4
2040	32	MLB MLE	WSH	59%	568	504	118	18	4	12	47	126	12	14	3	234	314	357	672	123	285	22	8	301	90	-7	+2	-4	+6	+12	1.0
2041	33	MLB MLE	WSH	61%	538	478	109	16	4	10	44	123	11	13	3	228	308	341	649	113	282	23	8	295	86	-9	+1	-4	+6	+12	0.6
2042	34	MLB MLE	WSH	57%	491	438	97	14	3	9	40	115	10	11	2	221	301	329	630	107	277	23	8	287	80	-12	+1	-5	+5	+11	0.1
2027	19	MLB CTX	WSH	34%	71	64	14	2	0	1	5	15	2	2	1	219	296	297	593	78	284	21	7	281	88	-1	+0	+0	+1	+2	0.1
2028	20	MLB CTX	WSH	48%	166	148	35	6	1	3	13	36	4	5	1	236	315	351	667	115	286	22	8	287	92	-2	+1	+0	+2	+4	0.5
2029	21	MLB CTX	WSH	54%	241	215	51	8	2	5	19	51	5	8	2	237	314	363	677	126	287	21	8	290	95	-1	+1	+0	+3	+5	0.7
2030	22	MLB CTX	WSH	57%	292	261	63	10	2	7	23	62	6	9	2	241	317	375	693	134	288	21	8	293	97	-1	+1	+0	+3	+6	1.0
2031	23	MLB CTX	WSH	58%	325	289	69	11	2	7	26	68	7	10	2	239	317	363	680	125	289	21	8	295	98	-1	+1	+0	+3	+7	1.1
2032	24	MLB CTX	WSH	57%	340	303	73	12	2	8	27	71	7	10	2	241	318	373	690	132	290	21	8	296	99	-0	+1	+0	+4	+7	1.2
2033	25	MLB CTX	WSH	57%	349	310	75	12	2	8	28	73	8	10	2	242	321	371	692	129	290	21	8	297	99	-0	+1	+0	+4	+8	1.2
2034	26	MLB CTX	WSH	57%	353	314	75	12	2	8	28	74	8	11	2	239	317	366	683	127	289	21	8	297	99	-0	+1	+0	+4	+8	1.3
2035	27	MLB CTX	WSH	55%	346	307	74	12	2	8	28	73	8	10	2	241	321	371	692	130	289	21	8	297	100	-0	+1	+0	+4	+7	1.2
2036	28	MLB CTX	WSH	55%	340	302	73	12	2	8	28	72	7	10	2	242	320	374	695	132	289	21	8	296	99	-0	+1	-0	+4	+7	1.2
2037	29	MLB CTX	WSH	53%	327	290	69	11	2	7	27	70	7	9	2	238	318	362	680	124	289	21	8	295	98	-1	+1	-1	+4	+7	1.0
2038	30	MLB CTX	WSH	53%	316	280	67	11	2	7	26	68	7	9	2	239	319	368	687	129	288	22	8	292	96	-1	+1	-1	+3	+7	0.9
2039	31	MLB CTX	WSH	57%	331	294	69	11	2	7	27	72	7	9	2	235	314	357	671	122	286	22	8	289	94	-3	+1	-2	+4	+7	0.8
2040	32	MLB CTX	WSH	59%	336	298	70	11	2	7	28	75	7	9	2	235	315	356	671	121	284	22	8	284	90	-4	+1	-2	+4	+7	0.6
2041	33	MLB CTX	WSH	61%	328	291	66	10	2	6	27	75	7	8	2	227	308	337	644	110	280	23	8	278	86	-6	+1	-3	+4	+7	0.3
2042	34	MLB CTX	WSH	57%	278	247	55	8	2	5	23	65	6	6	1	223	304	332	636	109	275	23	8	270	80	-7	+1	-3	+3	+6	0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	4739	4213	998	159	29	102	383	1020	103	135	29	237	316	361	677	124	287	22	8	291	94	-28	+15	-11	+51	+103	13.2
/ 162G	—	A+C		—	650	578	137	22	4	14	53	140	14	19	4	237	317	362	678	125	287	22	8	291	94	-4	+2	-2	+7	+14	1.8
Career	—	MLE		—	8666	7708	1837	293	66	188	701	1866	186	253	51	238	317	367	684	128	289	22	8	307	94	-51	+29	-20	+92	+185	24.0
/ 162G	—	MLE		—	650	578	138	22	5	14	53	140	14	19	4	239	318	367	685	128	290	22	8	307	94	-4	+2	-1	+7	+14	1.8

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Erick Aybarlast yr '17 career totals — 11 seasons, 5,588 PA	8.4	5,588	58	154	271	314	372	+58	+49	22.0	21.3
/162	664	7	18	+6.9	+5.8	2.6	pk7: 21
#2Kolten Wonglast yr '23 career totals — 11 seasons, 4,283 PA	6.5	4,283	86	120	256	330	390	+15	+21	18.4	17.8
/162	664	13	19	+2.4	+3.2	2.8	pk7: 17
#3Freddy Galvislast yr '21 career totals — 10 seasons, 4,238 PA	6.4	4,238	109	57	246	292	387	+42	+68	18.0	17.6
/162	664	17	9	+6.6	+10.6	2.8	pk7: 17
#4Zack Cozartlast yr '19 career totals — 8 seasons, 3,350 PA	5.0	3,350	85	21	246	300	398	+33	+38	14.2	14.8
/162	664	17	4	+6.6	+7.6	2.8	pk7: 15
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 10 projected seasons	7.3	4,843	105	138	240	315	369	+50	+30	16.9	13.4
/162	664	14	19	+6.8	+4.1	2.3	pk7: 10
#5Bobby 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
#6Danny Espinosalast yr '17 career totals — 8 seasons, 3,267 PA	4.9	3,267	98	64	221	297	378	+16	+36	11.0	11.4
/162	664	20	13	+3.2	+7.3	2.2	pk7: 12

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
Rony Bello (OGILVIE)	18	56→61	37→42	64→69	53	228/304/336	108	284	2	6	22%	7%	84	+0.0	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Angel Genao 2022 · A	18	45→55	37→45	59→50	55	210/300/285	75	272	4	16	22%	11%	70	-0.8	230/288/322	92	306	6	11	25%	7%	74	-0.6	262/318/385	123	318	10	13	20%	7%	97	+0.9
✕Addison Russell 2013 · A	19	54→53	46→55	59→50	43	258/312/400	142	345	12	16	28%	7%	100	+1.3	237/300/393	156	312	16	12	28%	7%	95	+0.9	239/310/406	168	295	19	5	25%	8%	97	+0.9
●Julio Rodríguez 2019 · A	18	47→56	43→60	59→55	46	228/289/352	124	291	8	9	24%	7%	81	-0.1	253/308/401	148	329	14	9	26%	6%	99	+1.3	287/348/497	210	352	27	29	25%	7%	132	+3.3
✕Adrian Pinto 2022 · A	19	53	41→45	61→65	55	249/330/357	107	284	6	32	14%	9%	97	+1.1	229/316/326	97	293	6	23	22%	9%	86	+0.3	222/315/324	102	289	6	23	23%	9%	81	-0.0
✕Carlos Jorge 2022 · A	18	49→45	42→45	63→60	46	232/298/352	119	309	6	24	26%	8%	84	+0.1	207/282/339	132	305	12	26	34%	8%	76	-0.4	183/259/311	128	278	13	29	36%	8%	60	-0.9
✕Victor Robles 2016 · A	19	50→52	42→50	55→60	45	240/311/353	113	291	8	21	20%	6%	90	+0.6	242/308/360	118	303	8	23	22%	5%	91	+0.6	246/315/392	146	305	12	27	22%	6%	97	+0.9
✕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
✕Luis Santana 2018 · A	19	52	39→45	54→50	50	243/311/343	100	274	5	11	13%	7%	87	+0.4	246/316/336	90	288	6	9	16%	7%	88	+0.4	234/303/348	114	293	12	10	23%	6%	83	+0.0
✕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
✕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
✕Luke Adams 2023 · A	19	50→36	41→50	55	45	231/306/331	100	330	7	18	30%	8%	83	+0.1	193/323/316	123	270	12	20	30%	11%	89	+0.5	189/341/340	151	235	17	19	25%	12%	100	+0.7
✕Alexander Albertus 2023 · A	18	50	36→45	55→45	57	230/329/297	67	301	2	9	22%	12%	84	+0.2	231/325/325	94	288	8	10	21%	11%	89	+0.5	229/319/329	99	290	10	8	22%	11%	86	+0.1
●Xavier Edwards 2019 · A	19	52→62	37→40	56→60	50	245/307/319	74	309	3	18	21%	8%	80	-0.2	250/296/311	61	297	1	19	15%	6%	73	-0.6	302/361/382	79	347	4	36	13%	8%	110	+1.8
✕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
✕Luigi Rodriguez 2011 · A	18	47→49	39→50	61→55	49	223/288/322	98	282	4	23	22%	8%	73	-0.6	224/275/315	91	329	6	17	31%	6%	67	-1.1	223/264/357	134	340	16	15	38%	5%	71	-0.5
✕Jefferson Rojas 2023 · A	18	48→45	37→45	56→50	46	225/283/305	80	271	4	16	18%	6%	68	-1.0	212/272/309	97	268	9	15	23%	6%	65	-1.2	211/272/336	125	248	14	18	21%	7%	69	-0.7
✕Ronarsy Ledesma 2011 · A	18	44	44→45	53→50	41	217/277/335	118	288	11	9	28%	6%	73	-0.6	219/286/320	101	286	6	11	24%	6%	73	-0.6	226/280/337	111	291	6	11	23%	4%	73	-0.3
✕Gorkys Hernández 2007 · A	19	49→57	41→45	54→55	41	239/268/338	99	285	9	17	20%	4%	69	-0.9	247/287/331	84	313	5	22	21%	5%	75	-0.5	256/315/372	117	316	11	16	22%	7%	91	+0.5
✕Jose Tabata 2007 · A	18	52→61	40→45	51→55	43	249/302/344	96	311	7	16	22%	6%	84	+0.2	258/307/344	86	320	6	14	20%	5%	86	+0.3	278/334/376	98	321	6	26	14%	7%	101	+1.2
✕Ronald Torreyes 2011 · A	18	56→57	42→45	52→50	47	264/313/387	124	280	6	14	9%	4%	98	+1.2	263/306/357	94	284	5	11	9%	4%	88	+0.4	261/304/347	86	281	4	9	8%	4%	82	+0.0

Career Stats + Projections

Career Comps

Career Path Comps