Alberto Rios — OGILVIE

Alberto RiosC Tri-City Dust Devils

Age 24 R/R 5'10" / 203 lbs A+ K +5%HR +4% Svc 0.0 · Ctrl thru 2035

2026 ROS PROJECTION90 act + 13 ros · stats below = ROS only

showingROS

wRC+†57

AVG/OBP/SLG.167 / .231 / .167

PA13

HR0

K%23

BB%8

BABIP274

ISO84

MLB%0%

Value2026 · WAR

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

Tools · ContractCON 30 / POW 35

Toolsscout grade

CONTACT30

scouting grade only

POWER35

scouting grade only

EYE40

scouting grade only

SPEED40

scouting grade only

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

Status MiLB

MLB Debut 2030

Service 0 yrs (est)

Team Control Through 2035

First FA Year 2036

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2030
2027	MiLB	still in minors · estimated debut 2030
2028	MiLB	still in minors · estimated debut 2030
2029	MiLB	still in minors · estimated debut 2030
2030	Pre-Arb	$0.9M	+0.1	$0.3M	+$0.0M (cut)
2031	Pre-Arb	$0.9M	—	—	—
2032	Pre-Arb	$0.9M	—	—	—
2033	Ext	beyond projection horizon · no WAR estimate
2034	Ext	beyond projection horizon · no WAR estimate
2035	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$0.0M	+$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. 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)
2023	21	A	Inland Empire 66ers	—	145	127	23	4	2	3	14	37	2	7	2	181	273	315	588	134	225	26	10	266	66	-6	+1	—	—	+3	-0.2
2024	22	A+	Tri-City Dust Devils	—	115	103	26	5	0	0	10	32	2	2	2	252	330	301	631	49	366	28	9	295	85	-2	-0	—	—	+2	0.0
2024	22	INTL	Sydney Blue Sox	—	131	115	32	5	0	3	13	29	0	2	1	278	352	400	752	122	337	22	10	332	111	+2	+0	—	—	+3	0.5
2025	23	A+	Tri-City Dust Devils	—	73	62	6	1	0	0	8	16	1	0	0	97	211	113	324	16	130	22	11	166	-1	-9	+0	—	—	+2	-0.7
2025	23	A	Inland Empire 66ers	—	158	135	28	3	2	3	16	40	2	2	0	207	301	326	627	119	269	25	10	279	75	-5	+0	—	—	+3	-0.1
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2023	21	A MLE	Inland Empire 66ers	—	145	131	19	3	1	3	10	50	2	7	2	145	217	252	469	107	196	34	7	212	30	-12	+1	—	—	+3	-0.9
2024	22	A+ MLE	Tri-City Dust Devils	—	115	107	22	4	0	0	6	44	2	2	2	206	261	243	504	37	336	38	5	221	36	-9	-0	—	—	+2	-0.7
2025	23	A+ MLE	Tri-City Dust Devils	—	73	65	5	1	0	0	5	22	1	0	0	77	155	92	247	15	115	30	7	123	-31	-11	+0	—	—	+2	-1.0
2025	23	A MLE	Inland Empire 66ers	—	158	140	24	2	2	3	11	53	2	2	0	171	242	279	520	107	229	34	7	218	34	-12	+0	—	—	+3	-0.9
2023	21	A MLE	Inland Empire 66ers	—	145	131	19	3	1	3	10	50	2	7	2	145	217	252	469	107	200	34	7	212	30	—	—	—	—	—	—
2023	21	A RAW	Inland Empire 66ers	—	145	127	23	4	2	3	14	37	2	7	2	181	273	315	588	134	225	26	10	266	30	—	—	—	—	—	—
2024	22	INTL MLE	2 teams	—	246	228	46	8	0	0	13	94	2	4	3	202	251	237	488	35	336	38	5	221	36	—	—	—	—	—	—
2024	22	INTL RAW	2 teams	—	246	218	58	10	0	3	23	61	2	4	3	266	342	353	695	87	350	25	9	314	36	—	—	—	—	—	—
2025	23	A MLE	2 teams	—	231	205	29	3	2	3	16	75	3	2	0	141	214	220	434	78	203	32	7	188	13	—	—	—	—	—	—
2025	23	A RAW	2 teams	—	231	197	34	4	2	3	24	56	3	2	0	173	272	259	531	86	223	24	10	243	13	—	—	—	—	—	—
2023	21	A MLE	Inland Empire 66ers	—	145	132	19	3	1	3	10	50	2	7	2	144	217	250	467	106	196	34	7	212	30	—	—	—	—	—	—
2024	22	INTL MLE	2 teams	—	246	229	46	8	0	0	13	94	2	4	3	201	251	236	487	35	336	38	5	221	36	—	—	—	—	—	—
2025	23	A MLE	2 teams	—	231	210	29	3	2	3	16	75	3	2	0	138	214	214	429	76	193	32	7	188	13	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	21	A MLE	Inland Empire 66ers	—	145	132	19	3	1	3	10	50	2	7	2	144	217	250	467	106	196	34	7	212	30	—	—	—	—	—	—
2024	22	INTL MLE	2 teams	—	246	229	46	8	0	0	13	94	2	4	3	201	251	236	487	35	336	38	5	221	36	—	—	—	—	—	—
2025	23	A MLE	2 teams	—	231	210	29	3	2	3	16	75	3	2	0	138	214	214	429	76	193	32	7	188	13	—	—	—	—	—	—
YTD	24	A+ MLE	LAA	—	90	78	19	2	0	1	8	24	0	1	0	244	314	308	622	64	333	27	9	258	61	-4	+0	+0	+2	+2	-0.0
▸ 2026 season
YTD	24	A+ RAW	LAA	—	90	73	21	2	0	1	13	17	0	1	0	288	395	356	752	68	357	19	14	333	61	—	—	—	—	—	—
ROS	24	A+ MLE	LAA	0%	13	12	2	0	0	0	1	3	0	0	0	167	231	167	397		274	23	8	253	57	-1	+0	+0	+0	+0	-0.0
TOT	24	A+ MLE	LAA	—	103	90	21	2	0	1	9	27	0	1	0	233	303	289	592	56	317	26	9	257	60	-5	+0	+0	+2	+2	-0.1
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	25	MLB MLE	LAA	30%	235	214	45	8	1	3	17	61	2	3	1	210	275	299	574	89	275	26	7	263	64	-10	+0	+0	+4	+5	-0.1
2028	26	MLB MLE	LAA	44%	312	283	60	11	1	5	23	80	3	4	1	212	278	311	589	99	276	26	7	270	69	-12	+0	+0	+6	+7	0.1
2029	27	MLB MLE	LAA	49%	351	318	69	12	2	6	27	90	3	5	1	217	284	324	608	107	277	26	8	273	71	-12	+1	+0	+6	+8	0.2
2030	28	MLB MLE	LAA	52%	376	341	74	13	2	7	29	96	3	5	1	217	284	328	613	111	277	26	8	273	71	-13	+1	-1	+7	+8	0.2
2031	29	MLB MLE	LAA	51%	384	347	74	13	2	6	30	99	4	5	1	213	283	314	598	101	276	26	8	271	70	-14	+1	-1	+7	+8	0.1
2032	30	MLB MLE	LAA	51%	388	351	73	13	1	6	30	101	4	4	1	208	278	302	580	94	274	26	8	268	68	-15	+0	-2	+7	+8	-0.1
2027	25	MLB CTX	LAA	30%	71	65	13	2	0	1	5	18	1	1	0	200	268	277	545	77	274	25	7	257	64	-3	+0	+0	+1	+2	-0.0
2028	26	MLB CTX	LAA	44%	138	126	27	5	1	2	10	35	1	2	1	214	277	317	595	103	275	25	7	263	69	-5	+0	+0	+2	+3	0.0
2029	27	MLB CTX	LAA	49%	172	155	34	6	1	3	13	44	2	2	1	219	288	329	617	110	276	26	8	266	71	-6	+0	+0	+3	+4	0.1
2030	28	MLB CTX	LAA	52%	194	175	38	7	1	3	15	50	2	3	1	217	286	320	606	103	276	26	8	266	71	-7	+0	-0	+3	+4	0.1
2031	29	MLB CTX	LAA	51%	198	179	38	7	1	3	15	51	2	2	1	212	281	313	593	101	275	26	8	264	70	-7	+0	-1	+4	+4	-0.0
2032	30	MLB CTX	LAA	51%	200	180	38	7	1	3	16	52	2	2	1	211	283	311	594	100	274	26	8	262	68	-8	+0	-1	+4	+4	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	973	880	188	34	5	15	74	250	10	12	5	214	282	315	597	101	279	26	8	264	59	-36	+0	-2	+17	+21	0.1
/ 162G	—	A+C		—	650	588	126	23	3	10	49	167	7	8	3	214	283	315	597	100	280	26	8	264	59	-24	+0	-1	+12	+14	0.1
Career	—	MLE		—	2681	2430	491	84	12	39	196	749	26	39	11	202	269	295	564	93	272	28	7	255	59	-76	+3	-4	+37	+45	0.4
/ 162G	—	MLE		—	650	589	118	20	3	9	48	182	6	9	3	200	267	290	558	90	271	28	7	255	59	-24	+1	-1	+12	+14	0.1

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Sandy 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
#2Ronny 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
#3Adam 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
#4Guillermo Heredialast yr '22 career totals — 6 seasons, 1,530 PA	2.3	1,530	25	6	231	311	345	+3	+17	3.5	3.5
/162	664	11	3	+1.2	+7.6	1.5	pk7: 3
#5Ryan 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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 3 projected seasons	1.5	973	16	13	214	279	316	+17	+12	1.0	1.0
/162	664	11	9	+11.9	+8.2	0.7	pk7: 1
#6Alexi Amaristalast yr '17 career totals — 7 seasons, 1,901 PA	2.9	1,901	21	39	231	275	323	+14	-6	-1.1	-1.1
/162	664	7	14	+4.9	-2.1	-0.4	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
Alberto Rios (OGILVIE)	24	30	35	40	40	203/267/282	79	274	2	3	27%	7%	57	-0.5	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Matt Pagnozzi 2007 · AA	24	37	38→40	43→40	39	181/239/262	81	264	5	4	32%	6%	42	-2.9	197/247/275	78	277	6	4	29%	5%	47	-2.5	210/276/290	80	290	6	0	28%	7%	60	-0.7
✕Connor Justus 2019 · AA	24	39→38	38→40	42→45	46	188/272/267	79	265	6	8	29%	8%	57	-1.8	177/251/244	67	256	4	8	30%	7%	43	-2.8	152/224/201	49	226	2	6	31%	7%	21	-2.7
✕Camden Duzenack 2019 · A	24	39→36	39→50	46→50	41	191/253/278	87	253	5	11	26%	6%	51	-2.2	186/241/310	124	254	15	9	32%	5%	55	-2.0	211/259/339	128	274	14	10	28%	5%	64	-0.6
✕Dylan Neuse 2023 · A	24	36	39→40	49→50	44	177/255/257	79	269	8	14	35%	9%	48	-2.5	207/287/299	92	295	7	12	29%	9%	69	-0.9	212/301/305	93	294	5	13	27%	10%	75	-0.3
✕Richard Mercado 2007 · A	24	40	37→45	45→30	41	195/242/273	78	270	4	5	29%	6%	45	-2.7	211/263/296	85	276	6	4	24%	6%	58	-1.7	210/263/287	77	267	6	0	23%	6%	55	-0.7
✕Adam Weisenburger 2013 · AA	24	43	36→40	43→30	46	202/277/267	66	268	4	5	25%	8%	58	-1.7	217/296/304	87	281	6	4	23%	8%	74	-0.6	216/301/298	83	274	6	2	21%	8%	72	-0.3
✕Stephen McGee 2015 · A	24	41	36→40	44→30	48	195/279/260	65	269	4	4	27%	9%	57	-1.8	202/281/288	86	287	7	4	29%	9%	64	-1.3	198/284/292	94	281	8	1	30%	10%	64	-0.5
✕Andrés Alvarez 2021 · A	24	41→31	37→45	48→50	42	196/261/270	74	275	4	7	29%	7%	52	-2.2	202/269/324	122	288	13	15	33%	8%	68	-1.0	182/251/303	121	254	14	15	33%	8%	55	-1.1
✕Austin Rei 2018 · A	24	37	39→40	37→40	39	179/255/268	89	273	6	4	34%	7%	51	-2.3	192/266/285	93	283	7	5	32%	7%	58	-1.7	179/259/266	87	256	8	2	31%	8%	49	-0.8
✕Chadd Krist 2015 · A	25	40	41→40	44→45	42	196/258/292	96	269	8	6	29%	7%	56	-1.9	194/248/291	97	281	9	6	32%	6%	52	-2.2	151/202/238	87	213	10	0	34%	5%	19	-1.4
✕Rocky Gale 2012 · AA	24	38→46	37→40	41→30	40	186/234/250	64	246	5	5	26%	5%	36	-3.3	204/236/261	57	250	4	4	19%	4%	39	-3.1	255/282/304	49	309	1	1	17%	3%	63	-0.6
✕Chase Pinder 2021 · AA	25	40	39→45	40→45	44	192/269/271	79	282	7	5	32%	8%	56	-1.9	217/307/343	126	285	13	8	26%	10%	87	+0.4	222/324/360	138	289	14	11	26%	12%	95	+0.5
✕Quincy McAfee 2023 · AA	25	39	42→45	42→45	46	191/280/293	102	262	10	6	29%	9%	65	-1.2	199/277/327	128	250	14	10	25%	7%	72	-0.7	186/267/323	137	222	16	12	24%	7%	65	-0.7
✕Cam Balego 2019 · A	24	44→40	37→45	42→30	41	208/263/284	76	277	4	5	25%	5%	56	-1.9	212/289/322	110	277	11	4	26%	7%	75	-0.5	203/289/317	114	260	14	1	26%	8%	72	-0.5
✕Braeden Schlehuber 2012 · AA	24	38	40→45	44→40	40	188/234/280	92	227	8	5	22%	4%	44	-2.8	207/253/314	107	248	11	5	21%	4%	59	-1.6	202/248/301	99	236	10	3	19%	3%	53	-0.9
✕Dennis Ortega 2021 · A	24	40	39→45	46→45	41	197/243/276	79	257	7	6	26%	5%	46	-2.6	205/256/283	78	310	6	7	34%	6%	53	-2.1	195/246/261	66	302	5	5	35%	6%	40	-0.9
✕JJ Schwarz 2021 · A	25	38	41→45	48→30	43	190/254/280	91	265	9	6	31%	7%	52	-2.2	214/281/329	115	298	12	3	30%	8%	73	-0.6	208/278/322	114	287	13	1	30%	9%	68	-0.5
✕Eric Yang 2022 · A	24	39	39→40	44→40	46	184/282/268	84	271	6	6	31%	9%	61	-1.5	191/268/269	78	288	5	6	33%	8%	55	-1.9	178/263/231	54	280	4	1	35%	9%	43	-0.6
✕Jeremy Dowdy 2014 · A	24	43	37→40	45→30	40	205/249/276	71	284	4	5	28%	6%	48	-2.5	223/277/300	77	281	5	4	21%	7%	64	-1.3	225/284/301	76	272	5	1	18%	7%	63	-0.5
✕Tyler Reichenborn 2022 · A	24	36→43	42→45	42→50	40	181/251/288	108	274	9	8	35%	7%	53	-2.1	202/278/297	95	279	9	12	29%	8%	65	-1.2	198/280/282	84	265	10	14	27%	8%	60	-0.9

Career Stats + Projections

Career Comps

Career Path Comps