Javier Rivas — OGILVIE

Javier RivasSS Altoona Curve

Age 23 R/R 6'6" / 165 lbs AA HR -15%K -5% Svc 0.0 · Ctrl thru 2034

2026 ROS PROJECTION309 act + 9 ros · stats below = ROS only

showingROS

wRC+†50

AVG/OBP/SLG.111 / .111 / .111

PA9

HR0

K%33

BB%3

BABIP256

ISO126

MLB%2%

Value2026 · WAR

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

Tools · ContractCON 45 / POW 55

Toolsscout grade

CONTACT45

scouting grade only

POWER55

scouting grade only

EYE20

scouting grade only

SPEED45

scouting grade only

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

Status MiLB

MLB Debut 2029

Service 0 yrs (est)

Team Control Through 2034

First FA Year 2035

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2029
2027	MiLB	still in minors · estimated debut 2029
2028	MiLB	still in minors · estimated debut 2029
2029	Pre-Arb	$0.8M	—	—	—
2030	Pre-Arb	$0.9M	—	—	—
2031	Pre-Arb	$0.9M	—	—	—
2032	Arb-1	$0.4M	—	—	—
2033	Arb-2	$5M	—	—	—
2034	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$-2M	+$0.0M

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)
2021	18	ROK	DSL PIT Black	—	192	173	23	5	1	0	11	56	7	6	4	133	215	173	388	40	195	29	6	189	14	-20	-0	—	—	+4	-1.6
2022	19	ROK	FCL Pirates	—	175	155	41	9	0	5	10	43	8	4	1	265	341	419	760	155	330	25	6	339	115	+3	+0	—	—	+4	0.8
2023	20	A	Bradenton Marauders	—	215	196	37	4	0	2	13	84	2	1	0	189	246	240	486	51	310	39	6	223	37	-16	+0	—	—	+5	-1.2
2023	20	ROK	FCL Pirates	—	188	165	47	11	1	2	14	43	7	7	6	285	366	400	766	115	369	23	7	344	119	+4	-1	—	—	+4	0.7
2024	21	A+	Greensboro Grasshoppers	—	35	32	4	0	1	0	0	14	2	0	0	125	176	188	364	62	222	40	0	166	-2	-4	+0	—	—	+1	-0.4
2024	21	A	Bradenton Marauders	—	367	336	75	19	1	12	16	118	12	7	3	223	283	393	676	170	306	32	4	299	89	-5	+0	—	—	+8	0.3
2025	22	AA	Altoona Curve	—	118	110	23	7	0	3	3	26	2	0	0	209	243	355	598	145	241	22	3	259	61	-5	+0	—	—	+3	-0.3
2025	22	A+	Greensboro Grasshoppers	—	389	354	94	13	1	18	19	92	11	4	1	266	323	460	783	195	306	24	5	342	118	+8	+0	—	—	+8	1.7
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2021	18	ROK MLE	DSL PIT Black	—	192	177	15	3	1	0	7	84	7	6	4	85	152	113	265	28	145	44	4	115	-36	-31	-0	—	—	+4	-2.8
2022	19	ROK MLE	FCL Pirates	—	175	159	30	6	0	4	6	58	8	4	1	189	254	302	556	113	249	33	3	236	46	-11	+0	—	—	+4	-0.7
2023	20	A MLE	Bradenton Marauders	—	215	199	28	3	0	1	10	115	2	1	0	141	190	171	360	30	300	53	5	169	1	-25	+0	—	—	+5	-2.1
2023	20	ROK MLE	FCL Pirates	—	188	170	34	7	1	2	9	65	7	7	6	200	269	288	557	88	291	35	5	235	45	-12	-1	—	—	+4	-0.9
2024	21	A+ MLE	Greensboro Grasshoppers	—	35	32	3	0	1	0	0	18	2	0	0	94	147	156	303	62	208	51	0	129	-27	-5	+0	—	—	+1	-0.5
2024	21	A MLE	Bradenton Marauders	—	367	340	55	13	1	8	12	172	12	7	3	162	217	276	494	115	284	47	3	214	31	-30	+0	—	—	+8	-2.2
2025	22	AA MLE	Altoona Curve	—	118	111	20	6	0	3	2	34	2	0	0	180	209	315	524	135	208	29	2	210	28	-10	+0	—	—	+3	-0.8
2025	22	A+ MLE	Greensboro Grasshoppers	—	389	361	82	10	1	13	12	124	11	4	1	227	273	368	642	141	296	32	3	277	74	-12	+0	—	—	+8	-0.3
2021	18	ROK MLE	DSL PIT Black	—	192	177	15	3	1	0	7	84	7	6	4	85	152	113	265	28	160	44	4	115	-36	—	—	—	—	—	—
2021	18	ROK RAW	DSL PIT Black	—	192	173	23	5	1	0	11	56	7	6	4	133	215	173	388	40	195	29	6	189	-36	—	—	—	—	—	—
2022	19	ROK MLE	FCL Pirates	—	175	159	30	6	0	4	6	58	8	4	1	189	254	302	556	113	263	33	3	236	46	—	—	—	—	—	—
2022	19	ROK RAW	FCL Pirates	—	175	155	41	9	0	5	10	43	8	4	1	265	341	419	760	155	330	25	6	339	46	—	—	—	—	—	—
2023	20	A MLE	2 teams	—	403	369	62	10	1	3	19	180	9	8	6	168	227	225	452	57	309	45	5	200	21	—	—	—	—	—	—
2023	20	A RAW	2 teams	—	403	361	84	15	1	4	27	127	9	8	6	233	302	313	615	80	340	32	7	279	21	—	—	—	—	—	—
2024	21	A MLE	2 teams	—	402	372	58	13	2	8	12	190	14	7	3	156	211	266	477	110	287	47	3	207	26	—	—	—	—	—	—
2024	21	A RAW	2 teams	—	402	368	79	19	2	12	16	132	14	7	3	215	274	375	649	160	299	33	4	288	26	—	—	—	—	—	—
2025	22	A+ MLE	2 teams	—	507	472	103	16	1	16	14	158	13	4	1	218	261	358	619	140	286	31	3	261	63	—	—	—	—	—	—
2025	22	A+ RAW	2 teams	—	507	464	117	20	1	21	22	118	13	4	1	252	305	435	740	183	290	23	4	323	63	—	—	—	—	—	—
2021	18	ROK MLE	DSL PIT Black	—	192	176	15	3	1	0	7	84	7	6	4	85	152	114	265	28	145	44	4	115	-36	—	—	—	—	—	—
2022	19	ROK MLE	FCL Pirates	—	175	159	30	6	0	4	6	58	8	4	1	189	254	302	556	113	249	33	3	236	46	—	—	—	—	—	—
2023	20	A MLE	2 teams	—	403	372	62	10	1	3	19	180	9	8	6	167	227	223	450	56	296	45	5	200	21	—	—	—	—	—	—
2024	21	A MLE	2 teams	—	402	373	58	13	2	8	12	190	14	7	3	155	211	265	476	110	277	47	3	207	26	—	—	—	—	—	—
2025	22	A+ MLE	2 teams	—	507	475	103	16	1	16	14	158	13	4	1	217	261	356	616	139	276	31	3	261	63	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	20	A MLE	2 teams	—	403	372	62	10	1	3	19	180	9	8	6	167	227	223	450	56	296	45	5	200	21	—	—	—	—	—	—
2024	21	A MLE	2 teams	—	402	373	58	13	2	8	12	190	14	7	3	155	211	265	476	110	277	47	3	207	26	—	—	—	—	—	—
2025	22	A+ MLE	2 teams	—	507	475	103	16	1	16	14	158	13	4	1	217	261	356	616	139	276	31	3	261	63	—	—	—	—	—	—
YTD	23	AA MLE	PIT	—	309	294	55	10	3	7	10	100	2	3	1	187	219	313	532	126	253	32	3	230	42	-21	+0	+0	+3	+7	-1.1
▸ 2026 season
YTD	23	AA RAW	PIT	—	309	289	63	12	3	10	15	82	2	3	1	218	261	384	646	166	265	27	5	283	42	—	—	—	—	—	—
ROS	23	AA MLE	PIT	2%	9	9	1	0	0	0	0	3	0	0	0	111	111	111	222		258	33	0	242	50	-1	+0	+0	+0	+0	-0.0
TOT	23	AA MLE	PIT	—	318	303	56	10	3	7	10	103	2	3	1	185	216	307	523	122	250	32	3	230	42	-22	+0	+0	+3	+7	-1.2
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	24	MLB MLE	PIT	31%	541	509	102	18	3	16	20	167	7	4	1	200	241	342	583	141	262	31	4	258	61	-25	+0	+0	+6	+12	-0.8
2028	25	MLB MLE	PIT	45%	572	536	111	20	3	18	24	172	7	4	1	207	250	356	607	149	264	30	4	268	67	-22	+0	+0	+6	+12	-0.3
2029	26	MLB MLE	PIT	51%	589	549	114	20	3	19	27	175	8	5	1	208	255	359	614	151	266	30	5	274	71	-20	+1	+0	+6	+13	-0.0
2030	27	MLB MLE	PIT	53%	595	554	116	21	3	19	28	176	8	5	1	209	258	361	619	152	266	30	5	275	72	-20	+1	+0	+6	+13	0.0
2031	28	MLB MLE	PIT	53%	594	552	115	20	3	19	29	177	8	4	1	208	258	359	617	150	266	30	5	274	72	-20	+0	-1	+6	+13	-0.1
2032	29	MLB MLE	PIT	53%	587	546	114	20	3	19	29	176	7	4	1	209	258	361	619	152	265	30	5	272	71	-21	+0	-1	+6	+13	-0.3
2033	30	MLB MLE	PIT	52%	578	538	110	19	3	18	28	174	7	4	1	204	253	351	604	147	264	30	5	270	69	-21	+0	-2	+6	+13	-0.5
2027	24	MLB CTX	PIT	31%	168	158	32	6	1	5	6	52	2	1	0	203	241	348	589	146	259	31	4	243	61	-8	+0	+0	+2	+4	-0.2
2028	25	MLB CTX	PIT	45%	255	239	48	9	1	7	11	77	3	2	1	201	245	335	580	134	262	30	4	253	67	-10	+0	+0	+3	+6	-0.2
2029	26	MLB CTX	PIT	51%	300	279	58	10	2	9	14	89	4	2	1	208	256	355	611	147	264	30	5	258	71	-10	+0	+0	+3	+6	-0.1
2030	27	MLB CTX	PIT	53%	312	290	60	11	2	9	15	92	4	2	1	207	256	352	607	145	264	29	5	260	72	-10	+0	+0	+3	+7	-0.0
2031	28	MLB CTX	PIT	53%	317	295	62	11	2	10	15	94	4	2	1	210	258	363	621	153	264	30	5	259	72	-11	+0	-0	+3	+7	-0.1
2032	29	MLB CTX	PIT	53%	309	287	59	10	2	9	15	92	4	2	1	206	255	348	603	143	263	30	5	257	71	-11	+0	-1	+3	+7	-0.2
2033	30	MLB CTX	PIT	52%	301	279	56	10	1	9	15	91	4	2	1	201	252	341	592	140	262	30	5	255	69	-11	+0	-1	+3	+7	-0.3
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1962	1827	375	67	11	58	91	587	25	13	6	205	253	349	602	144	265	30	5	256	58	-71	+0	-2	+21	+43	-1.0
/ 162G	—	A+C		—	650	605	124	22	4	19	30	194	8	4	2	205	252	349	600	144	265	30	5	256	58	-24	+0	-1	+7	+14	-0.3
Career	—	MLE		—	5744	5342	1051	186	26	159	243	1890	103	59	22	197	246	331	576	134	268	33	4	254	58	-150	+3	-4	+44	+88	-2.0
/ 162G	—	MLE		—	650	605	119	21	3	18	27	214	12	7	2	197	245	331	576	134	268	33	4	254	58	-24	+1	-1	+7	+14	-0.3

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Miguel Olivolast yr '13 career totals — 11 seasons, 3,947 PA	5.9	3,947	144	53	241	275	417	+70	+53	19.1	18.9
/162	664	24	9	+11.9	+8.8	3.2	pk7: 19
#2Rod Barajaslast yr '12 career totals — 12 seasons, 3,753 PA	5.7	3,753	134	2	235	284	407	+60	+30	15.8	16.0
/162	664	24	0	+10.7	+5.3	2.8	pk7: 16
#3Rougned Odorlast yr '23 career totals — 10 seasons, 4,424 PA	6.7	4,424	178	70	230	288	422	+16	+32	15.2	15.0
/162	664	27	11	+2.4	+4.9	2.3	pk7: 15
#4Danny 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
#5Yuniesky Betancourtlast yr '13 career totals — 9 seasons, 4,278 PA	6.4	4,278	80	30	261	285	388	+41	-20	6.1	7.2
/162	664	12	5	+6.4	-3.1	0.9	pk7: 8
#6J.P. Arencibialast yr '15 career totals — 5 seasons, 1,650 PA	2.5	1,650	78	2	213	260	414	+29	-4	4.2	4.2
/162	664	31	1	+11.9	-1.7	1.7	pk7: 4
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 3 projected seasons	3.0	1,968	63	15	208	253	359	+21	+9	0.4	0.5
/162	664	21	5	+7.1	+3.0	0.1	pk7: 1

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
Javier Rivas (OGILVIE)	23	45	55	45	20	191/226/316	125	258	8	3	32%	3%	50	-1.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Gabriel Quintana 2016 · AA	23	41→43	48→55	40→45	31	212/239/352	140	290	16	3	33%	3%	63	-1.4	204/234/350	146	286	17	4	34%	3%	61	-1.5	194/225/339	145	273	17	2	35%	3%	52	-1.3
✕Rodolfo Durán 2021 · A	23	39	47→50	47→45	36	206/242/334	128	274	16	4	31%	4%	59	-1.6	200/240/330	130	259	14	4	28%	5%	58	-1.7	225/268/375	150	277	17	3	25%	5%	76	-0.2
✕Lenyn Sosa 2022 · AA	22	43→51	42→50	39→40	34	213/240/315	102	284	10	4	29%	3%	53	-2.1	235/269/364	129	289	16	4	24%	4%	76	-0.4	243/274/380	137	290	18	3	23%	3%	80	-0.1
✕Joe Dunand 2019 · AA	23	41→45	46→45	45	38	207/259/331	124	280	14	4	31%	5%	65	-1.2	203/258/302	99	284	9	4	30%	5%	59	-1.7	188/260/312	124	278	13	5	35%	7%	59	-0.9
✕Todd Glaesmann 2014 · AA	23	42→44	43→50	49→50	35	209/249/323	114	285	11	7	30%	4%	59	-1.6	212/246/342	130	278	13	8	28%	3%	63	-1.4	207/238/349	142	264	15	7	28%	3%	59	-0.9
✕Cristian Santana 2021 · AA	24	45→50	45→50	45→30	33	229/252/347	118	305	14	3	30%	3%	65	-1.2	245/277/341	96	324	9	3	26%	4%	74	-0.6	250/282/335	86	331	8	1	26%	4%	71	-0.5
✕Yu Chang 2019 · AAA	23	40→44	47→50	47→45	39	203/263/339	136	284	14	7	33%	6%	69	-0.9	216/272/354	138	293	14	7	30%	6%	76	-0.4	212/267/370	158	271	20	6	29%	6%	76	-0.2
✕Rodolfo Castro 2021 · A	22	37→41	48→55	46→50	35	195/236/334	139	275	15	6	35%	5%	57	-1.8	212/267/368	156	279	19	8	31%	6%	78	-0.3	206/269/359	153	269	19	7	30%	7%	74	-0.4
✕Quincy Latimore 2012 · AA	23	40→43	46→50	44→50	35	205/252/335	131	290	13	7	34%	4%	64	-1.3	209/262/332	123	279	13	10	29%	6%	67	-1.1	215/266/345	130	274	14	10	26%	6%	68	-0.6
✕Alex Jackson 2019 · AAA	23	36→37	47→55	44→30	34	189/245/322	133	285	14	2	38%	5%	59	-1.7	186/256/354	168	280	22	4	41%	5%	72	-0.7	191/262/354	163	266	20	2	35%	6%	70	-0.3
✕Brad Harman 2009 · AA	23	39→49	44→45	46→40	40	199/251/312	113	276	12	4	32%	6%	58	-1.7	190/240/290	100	270	9	4	31%	6%	49	-2.4	167/216/252	85	239	5	0	31%	5%	29	-3.0
✕David Vidal 2013 · AA	23	42→47	46→50	42→30	40	213/263/343	130	278	13	3	28%	6%	70	-0.9	203/256/300	97	288	8	3	31%	6%	57	-1.8	224/284/336	112	277	11	2	23%	7%	74	-0.4
✕Gavin LaValley 2018 · AA	23	44→45	46→50	46→40	39	221/267/348	127	294	13	2	29%	5%	72	-0.7	204/261/320	116	282	13	3	31%	7%	63	-1.3	186/251/291	105	258	13	2	32%	7%	51	-1.7
✕Deivy Grullón 2019 · AA	23	45→42	48→50	41→30	37	229/262/366	137	294	17	2	28%	4%	74	-0.5	218/269/370	152	308	20	4	34%	6%	78	-0.3	196/255/347	151	282	21	1	37%	7%	65	-0.6
✕Jiandido Tromp 2017 · A	23	39→46	49→50	50→45	37	204/246/355	152	267	16	9	30%	5%	66	-1.1	216/260/340	124	291	12	8	29%	5%	68	-1.0	214/259/325	110	290	10	8	29%	5%	60	-1.1
✕Juan Silverio 2014 · A	23	43→47	47→50	41→45	33	221/245/357	136	292	14	5	30%	2%	65	-1.2	226/255/352	126	291	14	6	27%	3%	68	-1.0	226/255/345	119	285	14	4	26%	3%	63	-0.6
✕Lucas May 2008 · A	23	39→43	50→55	45	37	209/251/362	154	265	19	6	29%	4%	70	-0.9	215/266/354	139	282	15	6	28%	6%	74	-0.6	214/273/345	131	281	14	4	28%	6%	72	-0.4
✕Hudson Potts 2022 · AA	23	36→39	47→50	46→40	33	190/232/322	132	280	15	4	37%	4%	53	-2.1	186/240/329	143	300	17	4	42%	6%	58	-1.7	156/217/297	141	250	18	1	44%	7%	40	-1.4
✕Josh Phegley 2011 · AA	23	42→47	46→55	45→40	36	216/254/335	120	287	14	4	30%	4%	64	-1.3	223/261/332	109	266	11	4	20%	4%	66	-1.1	233/282/414	181	263	20	0	20%	5%	92	+0.4
✕Jacob Scavuzzo 2017 · AA	23	44→47	45→55	46→45	38	219/262/343	124	289	13	7	28%	5%	69	-0.9	204/244/352	148	275	18	8	32%	4%	65	-1.2	182/220/342	160	240	22	8	35%	4%	52	-1.1

Career Stats + Projections

Career Comps

Career Path Comps