Eliezer Rivero — OGILVIE

Eliezer RiveroC ACL Angels

Age 21 R/R 6'0" / 180 lbs ROK K +5%HR +4% Svc 0.0 · Ctrl thru 2037

2026 ROS PROJECTION142 act + 14 ros · stats below = ROS only

showingROS

wRC+†60

AVG/OBP/SLG.231 / .286 / .308

PA14

HR0

K%36

BB%7

BABIP279

ISO77

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$10M ctrl surplus

Tools · ContractCON 27 / POW 40

Toolsscout grade

CONTACT27

scouting grade only

POWER40

scouting grade only

EYE50

scouting grade only

SPEED53

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	+0.3	$0.8M	+$0.3M
2033	Pre-Arb	$1.0M	+0.2	$0.5M	+$0.0M
2034	Pre-Arb	$1.0M	+0.2	$0.4M	+$0.0M
2035	Arb-1	$0.8M	+0.1	$0.2M	+$0.0M (cut)
2036	Arb-2	$0.4M	—	—	—
2037	Ext	beyond projection horizon · no WAR estimate
Totals		$3M		$2M	+$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. Catcher framing: only 2026 Statcast framing is modeled (Baseball Savant server-caches the leaderboard to the current season); prior-year framing is unmodeled — projections for established framers may run below FG-DC by 1-3 WAR.

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)
2022	17	ROK	DSL Angels	—	76	67	19	3	0	0	5	12	3	2	2	284	360	328	688	45	345	16	7	316	100	+0	-0	—	—	+2	0.1
2023	18	ROK	ACL Angels	—	52	45	11	2	0	0	4	15	2	2	0	244	333	289	622	44	355	29	8	288	81	-1	+0	—	—	+1	0.0
2024	19	ROK	ACL Angels	—	50	37	9	1	0	0	8	11	2	3	1	243	404	270	675	27	333	22	16	312	97	-0	+0	—	—	+1	0.1
2025	20	A	Inland Empire 66ers	—	16	15	3	0	0	0	1	6	0	0	0	200	250	200	450		333	38	6	213	31	-1	+0	—	—	+0	-0.1
2025	20	ROK	ACL Angels	—	138	118	37	7	0	0	9	36	10	4	2	314	409	373	782	59	451	26	7	361	130	+5	+0	—	—	+3	0.8
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2022	17	ROK MLE	DSL Angels	—	76	69	16	3	0	0	3	18	3	2	2	232	293	275	569	43	289	24	4	237	47	-5	-0	—	—	+2	-0.4
2023	18	ROK MLE	ACL Angels	—	52	46	7	1	0	0	3	23	2	2	0	152	235	174	409	22	290	44	6	196	19	-5	+0	—	—	+1	-0.4
2024	19	ROK MLE	ACL Angels	—	50	40	8	1	0	0	5	16	2	3	1	200	319	225	544	25	282	32	10	242	50	-3	+0	—	—	+1	-0.2
2025	20	A MLE	Inland Empire 66ers	—	16	15	2	0	0	0	1	8	0	0	0	133	188	133	321		284	50	6	145	-16	-2	+0	—	—	+0	-0.2
2025	20	ROK MLE	ACL Angels	—	138	122	27	5	0	0	5	54	10	4	2	221	307	262	569	41	375	39	4	249	55	-7	+0	—	—	+3	-0.5
2022	17	ROK MLE	DSL Angels	—	76	69	16	3	0	0	3	18	3	2	2	232	293	275	569	43	314	24	4	237	47	—	—	—	—	—	—
2022	17	ROK RAW	DSL Angels	—	76	67	19	3	0	0	5	12	3	2	2	284	360	328	688	45	345	16	7	316	47	—	—	—	—	—	—
2023	18	ROK MLE	ACL Angels	—	52	46	7	1	0	0	3	23	2	2	0	152	235	174	409	22	292	44	6	196	19	—	—	—	—	—	—
2023	18	ROK RAW	ACL Angels	—	52	45	11	2	0	0	4	15	2	2	0	244	333	289	622	44	355	29	8	288	19	—	—	—	—	—	—
2024	19	ROK MLE	ACL Angels	—	50	40	8	1	0	0	5	16	2	3	1	200	319	225	544	25	320	32	10	242	50	—	—	—	—	—	—
2024	19	ROK RAW	ACL Angels	—	50	37	9	1	0	0	8	11	2	3	1	243	404	270	675	27	333	22	16	312	50	—	—	—	—	—	—
2025	20	ROK MLE	2 teams	—	154	137	29	5	0	0	6	62	10	4	2	212	294	248	542	36	387	40	4	238	47	—	—	—	—	—	—
2025	20	ROK RAW	2 teams	—	154	133	40	7	0	0	10	42	10	4	2	301	392	353	746	53	440	27	6	345	47	—	—	—	—	—	—
2022	17	ROK MLE	DSL Angels	—	76	70	16	3	0	0	3	18	3	2	2	229	293	271	565	43	289	24	4	237	47	—	—	—	—	—	—
2023	18	ROK MLE	ACL Angels	—	52	47	7	1	0	0	3	23	2	2	0	149	235	170	406	21	290	44	6	196	19	—	—	—	—	—	—
2024	19	ROK MLE	ACL Angels	—	50	43	8	1	0	0	5	16	2	3	1	186	319	209	528	23	282	32	10	242	50	—	—	—	—	—	—
2025	20	ROK MLE	2 teams	—	154	137	29	5	0	0	6	62	10	4	2	212	294	248	542	36	366	40	4	238	47	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	18	ROK MLE	ACL Angels	—	52	47	7	1	0	0	3	23	2	2	0	149	235	170	406	21	290	44	6	196	19	—	—	—	—	—	—
2024	19	ROK MLE	ACL Angels	—	50	43	8	1	0	0	5	16	2	3	1	186	319	209	528	23	282	32	10	242	50	—	—	—	—	—	—
2025	20	ROK MLE	2 teams	—	154	137	29	5	0	0	6	62	10	4	2	212	294	248	542	36	366	40	4	238	47	—	—	—	—	—	—
YTD	21	ROK MLE	LAA	—	142	121	24	7	1	3	11	58	6	3	1	198	297	347	644	149	339	41	8	279	75	-4	+0	+0	+3	+3	0.2
▸ 2026 season
YTD	21	ROK RAW	LAA	—	107	82	26	9	2	4	16	26	5	2	1	317	456	622	1.078	305	407	24	15	448	75	—	—	—	—	—	—
YTD	21	A RAW	LAA	—	35	33	7	1	0	0	1	15	1	1	0	212	257	242	500	30	389	43	3	233	75	—	—	—	—	—	—
ROS	21	ROK MLE	LAA	0%	14	13	3	1	0	0	1	5	0	0	0	231	286	308	593	77	280	36	7	257	60	-1	+0	+0	+0	+0	-0.0
TOT	21	ROK MLE	LAA	—	156	134	27	8	1	3	12	63	6	3	1	201	296	343	639	142	343	40	8	277	74	-5	+0	+0	+3	+3	0.2
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	22	MLB MLE	LAA	34%	234	211	42	9	1	4	16	72	5	4	1	199	272	308	580	109	280	31	7	266	66	-9	+0	+0	+4	+5	0.0
2028	23	MLB MLE	LAA	48%	339	305	62	13	2	6	24	102	7	6	2	203	277	318	595	115	282	30	7	273	71	-12	+0	+0	+6	+7	0.2
2029	24	MLB MLE	LAA	53%	412	371	78	16	3	8	30	122	8	8	2	210	284	334	618	124	283	30	7	277	74	-13	+1	+0	+7	+9	0.4
2030	25	MLB MLE	LAA	55%	452	407	85	17	3	9	33	133	9	9	3	209	283	332	615	123	283	29	7	279	75	-13	+1	+0	+8	+10	0.5
2031	26	MLB MLE	LAA	56%	477	430	90	18	3	10	35	140	9	10	3	209	283	335	618	126	283	29	7	280	75	-14	+1	+0	+9	+10	0.6
2032	27	MLB MLE	LAA	55%	486	438	91	18	3	10	36	143	9	10	3	208	282	331	613	123	283	29	7	280	75	-14	+1	+0	+9	+11	0.6
2033	28	MLB MLE	LAA	55%	488	439	91	18	3	10	37	144	9	10	3	207	282	330	613	123	282	30	8	279	75	-15	+1	-1	+9	+11	0.5
2034	29	MLB MLE	LAA	53%	482	433	90	18	3	10	37	143	9	9	3	208	284	333	616	125	281	30	8	277	73	-15	+1	-1	+9	+10	0.3
2035	30	MLB MLE	LAA	53%	474	426	87	17	3	9	36	142	9	9	3	204	280	322	602	117	280	30	8	274	71	-16	+1	-2	+8	+10	0.1
2036	31	MLB MLE	LAA	52%	448	403	80	16	2	8	34	136	8	8	2	199	274	308	582	109	277	30	8	270	69	-17	+1	-3	+8	+10	-0.1
2027	22	MLB CTX	LAA	34%	80	72	15	3	1	1	6	25	2	1	0	208	287	319	607	111	279	31	8	251	66	-3	+0	+0	+1	+2	0.0
2028	23	MLB CTX	LAA	48%	164	148	30	6	1	3	12	49	3	3	1	203	276	318	594	115	281	30	7	258	71	-6	+0	+0	+3	+4	0.1
2029	24	MLB CTX	LAA	53%	217	195	40	8	1	4	16	64	4	4	1	205	279	318	597	113	282	29	7	263	74	-7	+0	+0	+4	+5	0.2
2030	25	MLB CTX	LAA	55%	247	222	47	9	2	5	18	72	5	5	1	212	286	338	624	126	282	29	7	265	75	-7	+1	+0	+4	+5	0.3
2031	26	MLB CTX	LAA	56%	265	239	51	10	2	6	19	78	5	5	2	213	285	347	632	134	282	29	7	266	75	-8	+0	+0	+5	+6	0.3
2032	27	MLB CTX	LAA	55%	267	240	51	10	2	6	20	79	5	5	2	212	287	346	633	133	282	30	7	266	75	-8	+0	+0	+5	+6	0.3
2033	28	MLB CTX	LAA	55%	267	240	51	10	2	6	20	79	5	5	2	212	287	346	633	133	281	30	7	265	75	-8	+0	-0	+5	+6	0.2
2034	29	MLB CTX	LAA	53%	257	230	46	9	1	5	20	76	5	5	1	200	278	313	591	113	281	30	8	263	73	-8	+1	-1	+5	+6	0.2
2035	30	MLB CTX	LAA	53%	249	223	45	9	1	5	19	75	5	5	1	202	279	318	598	117	279	30	8	260	71	-8	+1	-1	+4	+5	0.1
2036	31	MLB CTX	LAA	52%	233	209	41	8	1	4	18	71	4	4	1	196	273	301	574	105	277	30	8	256	69	-9	+0	-1	+4	+5	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2246	2018	417	82	14	45	168	668	43	42	12	207	282	328	610	121	283	30	7	262	71	-72	+4	-4	+40	+49	1.7
/ 162G	—	A+C		—	650	584	121	24	4	13	49	193	12	12	3	207	282	329	611	122	283	30	8	262	71	-21	+1	-1	+12	+14	0.5
Career	—	MLE		—	4638	4168	859	171	26	84	336	1401	99	94	30	206	281	320	601	114	287	30	7	273	71	-139	+7	-7	+77	+93	3.1
/ 162G	—	MLE		—	650	584	121	24	4	12	47	196	14	13	4	207	282	324	606	116	288	30	7	273	71	-21	+1	-1	+12	+14	0.5

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Danny 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
#2Sandy Leónlast yr '22 career totals — 9 seasons, 1,648 PA	2.5	1,648	31	1	209	276	313	+29	+56	6.4	6.7
/162	664	12	0	+11.9	+22.4	2.6	pk7: 7
#3Ronny 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
#4J.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
#5Adam Engellast yr '22 career totals — 6 seasons, 1,540 PA	2.3	1,540	30	47	225	280	350	+4	+33	4.1	4.1
/162	664	13	20	+1.8	+14.4	1.8	pk7: 4
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 6 projected seasons	3.6	2,394	47	46	207	278	328	+43	+24	3.2	3.0
/162	664	13	13	+11.9	+6.7	0.9	pk7: 3
#6Ryan Goinslast yr '19 career totals — 7 seasons, 1,680 PA	2.5	1,680	22	6	230	279	335	+9	+21	2.0	2.0
/162	664	9	2	+3.7	+8.5	0.8	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
Eliezer Rivero (OGILVIE)	21	22→27	35→40	48→53	50	192/266/292	100	280	2	3	32%	7%	60	-0.4	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Steven Baron 2012 · A	21	34	39→45	45→50	36	172/216/255	83	252	7	7	34%	5%	31	-3.7	189/226/284	95	266	6	9	30%	4%	41	-3.0	237/293/310	73	315	4	8	24%	7%	69	-0.4
✕Franklin Tineo 2017 · A	22	36	38→45	46→50	45	179/245/253	75	239	5	10	26%	7%	42	-2.9	198/277/298	100	282	8	10	30%	8%	65	-1.2	201/298/325	124	262	10	12	25%	10%	77	-0.1
✕Aaron McKeithan 2022 · A	22	41	38→40	49→40	40	195/262/275	80	276	6	7	30%	6%	54	-2.0	219/298/304	85	284	8	4	24%	7%	74	-0.5	216/302/271	55	271	5	1	21%	8%	67	-0.3
✕Adrian Abreu 2012 · A	21	39	38→40	47→55	47	190/263/273	82	247	5	9	24%	8%	53	-2.1	212/292/300	88	256	8	17	19%	9%	71	-0.8	209/299/290	80	241	9	25	16%	10%	70	-0.3
✕Chris Roller 2018 · A	21	37	37→45	53→55	45	178/254/255	77	243	4	12	27%	8%	47	-2.5	205/274/318	113	295	9	11	31%	7%	68	-1.0	191/257/296	105	277	7	15	32%	6%	55	-0.9
✕Kyle Nevin 2023 · A	21	41→38	40	52→50	39	198/250/294	96	274	6	10	29%	5%	53	-2.1	216/274/318	102	332	9	10	35%	7%	68	-1.0	210/271/306	96	328	9	12	36%	7%	61	-0.9
✕Payton Henry 2018 · A	21	39→31	42→45	46→30	38	189/254/293	104	302	8	3	38%	7%	55	-1.9	184/249/284	100	318	10	2	43%	6%	51	-2.2	242/289/361	119	320	16	1	29%	4%	79	-0.1
✕Rey Duran 2009 · A	20	36	41→50	49→40	41	183/243/277	94	256	9	6	31%	6%	47	-2.5	213/267/338	125	268	14	5	25%	6%	70	-0.8	210/263/349	139	246	19	2	23%	5%	69	-0.4
✕Jorge Alcantara 2013 · A	21	42	41→45	50	43	201/271/299	98	298	8	11	33%	8%	63	-1.4	193/263/287	94	294	6	14	34%	8%	57	-1.8	147/226/244	97	221	6	25	34%	8%	33	-1.0
✕Tomás Nido 2015 · A	21	44→43	39→45	49→30	43	212/267/299	87	285	6	7	27%	6%	61	-1.5	230/261/332	102	302	9	2	26%	4%	65	-1.2	238/272/346	108	283	9	0	19%	4%	71	-0.5
✕Tucker Mitchell 2022 · A	21	42	40→45	51→45	39	201/262/293	92	296	7	7	33%	6%	57	-1.8	195/269/306	111	299	13	8	37%	7%	65	-1.2	180/257/292	111	259	15	7	35%	7%	55	-0.8
✕Abrahan Gutierrez 2021 · A	21	44→43	39→45	46→40	43	214/262/293	80	273	7	6	24%	6%	57	-1.8	225/298/328	103	300	8	4	26%	8%	80	-0.2	218/296/319	101	289	9	2	26%	8%	74	-0.3
✕Luis Palacios 2010 · A	21	39	39→40	46→50	36	192/235/276	84	265	7	5	30%	4%	43	-2.8	192/239/270	78	302	5	7	36%	5%	43	-2.8	140/190/175	36	236	0	6	38%	6%	0	-1.0
✕Gilberto Vizcarra 2019 · A	20	35	38→45	47→40	46	171/243/241	71	215	6	3	23%	7%	40	-3.1	206/263/285	79	260	5	4	22%	6%	56	-1.9	227/270/319	92	275	7	1	19%	4%	65	-0.4
✕Jeter Downs 2019 · A	21	41→40	43→50	52→55	43	204/269/311	107	264	11	18	26%	6%	65	-1.2	205/270/351	146	270	17	18	29%	7%	75	-0.5	171/263/306	134	238	15	26	33%	8%	61	-0.7
✕Arturo De Freitas 2022 · A	21	43	38→45	50→40	39	205/264/287	82	287	5	8	29%	5%	57	-1.8	173/225/248	75	289	7	4	40%	6%	33	-3.6	143/191/216	73	246	8	0	44%	5%	11	-1.5
✕Victor Duarte 2022 · A	21	39	38→30	48→45	42	188/251/270	82	260	6	7	29%	6%	49	-2.4	199/275/282	83	287	6	6	30%	8%	61	-1.5	182/254/249	67	248	6	11	27%	8%	43	-0.7
✕Frank Rodriguez 2023 · A	21	40	40→45	48→30	38	195/255/282	87	294	7	4	35%	6%	53	-2.1	178/234/262	84	256	7	3	32%	6%	40	-3.0	183/244/267	84	244	9	1	28%	6%	43	-0.9
✕Sean Coyle 2013 · A	21	38→36	45→50	54→50	38	193/255/316	124	276	12	13	34%	6%	61	-1.5	204/262/352	148	296	18	14	36%	6%	72	-0.7	194/255/352	157	279	21	15	37%	7%	68	-0.5
✕Willy Diaz 2015 · A	21	36	36→40	45→40	46	170/263/235	65	253	4	5	32%	9%	47	-2.6	187/263/267	80	309	5	4	37%	8%	53	-2.1	184/258/270	86	308	5	2	39%	8%	49	-0.9

Career Stats + Projections

Career Comps

Career Path Comps