Alberto Barriga — OGILVIE

Alberto BarrigaC Amarillo Sod Poodles

Age 21 R/R 5'9" / 155 lbs AA HR -11% Svc 0.0 · Ctrl thru 2033

2026 ROS PROJECTION392 act + 9 ros · stats below = ROS only

showingROS

wRC+†58

AVG/OBP/SLG.125 / .222 / .125

PA9

HR0

K%33

BB%11

BABIP266

ISO94

MLB%2%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control+$7M ctrl surplus

Tools · ContractCON 53 / POW 35

Toolsscout grade

CONTACT53

scouting grade only

POWER35

scouting grade only

EYE46

scouting grade only

SPEED53

scouting grade only

DEFENSE60

scouting grade only

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

Status MiLB

MLB Debut 2028

Service 0 yrs (est)

Team Control Through 2033

First FA Year 2034

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2028
2027	MiLB	still in minors · estimated debut 2028
2028	Pre-Arb	$0.8M	+0.3	$1M	+$0.4M
2029	Pre-Arb	$0.8M	+0.4	$1M	+$0.7M
2030	Pre-Arb	$0.9M	+0.5	$1M	+$0.9M
2031	Arb-1	$3M	+0.6	$2M	+$0.0M (cut)
2032	Arb-2	$5M	+0.6	$2M	+$0.0M (cut)
2033	Arb-3	$6M	+0.5	$1M	+$0.0M (cut)
Totals		$3M		$8M	+$2M

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 D-backs Black	—	130	104	26	10	3	0	21	18	2	6	7	250	386	404	790	154	295	14	16	351	123	+4	-2	—	—	+3	0.5
2023	18	ROK	ACL D-backs Red	—	35	29	12	0	1	1	4	5	0	3	3	414	485	586	1.071	172	440	14	11	444	187	+4	-1	—	—	+1	0.4
2024	19	A	Visalia Rawhide	—	20	19	2	2	0	0	1	10	0	0	0	105	150	211	361	105	222	50	5	163	-3	-2	+0	—	—	+0	-0.2
2024	19	ROK	ACL D-backs	—	213	185	51	13	2	4	23	42	3	12	5	276	365	432	797	157	333	20	11	354	126	+7	+0	—	—	+5	1.2
2025	20	A	Visalia Rawhide	—	410	341	68	19	1	4	53	118	12	16	4	199	328	296	624	97	290	29	13	293	84	-8	+2	—	—	+9	0.3
2025	20	INTL	Algodoneros de Guasave	—	73	57	11	2	1	0	13	12	2	4	1	193	361	263	624	70	244	16	18	301	90	-1	+0	—	—	+2	0.1
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2022	17	ROK MLE	DSL D-backs Black	—	130	111	20	7	2	0	14	27	2	6	7	180	283	279	563	99	211	21	11	243	51	-8	-2	—	—	+3	-0.7
2023	18	ROK MLE	ACL D-backs Red	—	35	31	10	0	1	1	2	7	0	3	3	323	364	484	848	161	342	20	6	361	130	+1	-1	—	—	+1	0.1
2024	19	A MLE	Visalia Rawhide	—	20	19	1	1	0	0	1	13	0	0	0	53	100	105	205	53	189	65	5	96	-49	-4	+0	—	—	+0	-0.3
2024	19	ROK MLE	ACL D-backs	—	213	195	36	8	1	3	13	63	3	12	5	185	246	282	528	97	247	30	6	239	48	-13	+0	—	—	+5	-0.8
2025	20	A MLE	Visalia Rawhide	—	410	357	52	14	1	3	37	161	12	16	4	146	249	216	464	70	240	39	9	210	28	-35	+2	—	—	+9	-2.5
2022	17	ROK MLE	DSL D-backs Black	—	130	111	20	7	2	0	14	27	2	6	7	180	283	279	563	99	233	21	11	243	51	—	—	—	—	—	—
2022	17	ROK RAW	DSL D-backs Black	—	130	104	26	10	3	0	21	18	2	6	7	250	386	404	790	154	295	14	16	351	51	—	—	—	—	—	—
2023	18	ROK MLE	ACL D-backs Red	—	35	31	10	0	1	1	2	7	0	3	3	323	364	484	848	161	360	20	6	361	130	—	—	—	—	—	—
2023	18	ROK RAW	ACL D-backs Red	—	35	29	12	0	1	1	4	5	0	3	3	414	485	586	1.071	172	440	14	11	444	130	—	—	—	—	—	—
2024	19	ROK MLE	2 teams	—	233	214	37	9	1	3	14	76	3	12	5	173	234	266	500	93	248	33	6	227	40	—	—	—	—	—	—
2024	19	ROK RAW	2 teams	—	233	204	53	15	2	4	24	52	3	12	5	260	346	412	758	152	327	22	10	338	40	—	—	—	—	—	—
2025	20	A MLE	2 teams	—	483	420	60	16	1	3	44	189	14	20	5	143	247	207	454	64	248	39	9	210	28	—	—	—	—	—	—
2025	20	A RAW	2 teams	—	483	398	79	21	2	4	66	130	14	20	5	198	333	291	624	93	282	27	14	294	28	—	—	—	—	—	—
2022	17	ROK MLE	DSL D-backs Black	—	130	113	20	7	2	0	14	27	2	6	7	177	283	274	558	97	211	21	11	243	51	—	—	—	—	—	—
2023	18	ROK MLE	ACL D-backs Red	—	35	33	10	0	1	1	2	7	0	3	3	303	364	455	818	152	342	20	6	361	130	—	—	—	—	—	—
2024	19	ROK MLE	2 teams	—	233	214	37	9	1	3	14	76	3	12	5	173	234	266	500	93	242	33	6	227	40	—	—	—	—	—	—
2025	20	A MLE	2 teams	—	483	422	60	16	1	3	44	189	14	20	5	142	247	206	453	64	240	39	9	210	28	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	18	ROK MLE	ACL D-backs Red	—	35	33	10	0	1	1	2	7	0	3	3	303	364	455	818	152	342	20	6	361	130	—	—	—	—	—	—
2024	19	ROK MLE	2 teams	—	233	214	37	9	1	3	14	76	3	12	5	173	234	266	500	93	242	33	6	227	40	—	—	—	—	—	—
2025	20	A MLE	2 teams	—	483	422	60	16	1	3	44	189	14	20	5	142	247	206	453	64	240	39	9	210	28	—	—	—	—	—	—
YTD	21	AA MLE	ARI	—	392	362	70	16	0	10	24	108	3	14	4	193	249	320	570	127	243	28	6	250	55	-21	+1	+0	+7	+8	-0.4
▸ 2026 season
YTD	21	A+ RAW	ARI	—	168	147	38	10	0	8	19	37	1	8	1	259	347	490	837	231	291	22	11	367	55	—	—	—	—	—	—
YTD	21	AA RAW	ARI	—	224	202	47	11	0	5	18	46	2	6	3	233	302	361	663	129	275	21	8	297	55	—	—	—	—	—	—
ROS	21	AA MLE	ARI	2%	9	8	1	0	0	0	1	3	0	0	0	125	222	125	347		260	33	11	254	58	-0	+0	+0	+0	+0	-0.0
TOT	21	AA MLE	ARI	—	401	370	71	16	0	10	25	111	3	14	4	192	249	316	565	124	242	28	6	250	55	-21	+1	+0	+7	+9	-0.4
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	22	MLB MLE	ARI	26%	454	413	84	19	1	10	33	127	5	10	3	203	271	327	597	123	264	28	7	269	68	-17	+1	+1	+8	+10	0.2
2028	23	MLB MLE	ARI	39%	490	444	93	21	1	12	37	132	6	11	3	209	279	342	622	133	267	27	8	278	74	-15	+1	+1	+9	+11	0.6
2029	24	MLB MLE	ARI	44%	520	469	100	22	1	13	40	137	6	12	4	213	283	348	631	134	269	26	8	285	79	-13	+1	+1	+9	+11	0.9
2030	25	MLB MLE	ARI	47%	520	468	101	22	1	14	41	136	6	11	3	216	287	357	644	141	269	26	8	288	81	-12	+1	+1	+9	+11	1.1
2031	26	MLB MLE	ARI	49%	520	468	101	22	1	14	41	136	6	11	3	216	287	357	644	141	269	26	8	289	82	-11	+1	+1	+9	+11	1.1
2032	27	MLB MLE	ARI	49%	520	467	100	22	1	14	42	136	6	11	3	214	287	355	643	141	269	26	8	289	82	-11	+1	+1	+9	+11	1.2
2033	28	MLB MLE	ARI	49%	520	467	100	22	1	14	42	137	6	11	3	214	287	355	643	141	269	26	8	288	81	-12	+1	+0	+9	+11	1.0
2034	29	MLB MLE	ARI	48%	520	467	100	22	1	14	42	138	6	10	3	214	287	355	643	141	268	27	8	286	80	-12	+1	-1	+9	+11	0.9
2035	30	MLB MLE	ARI	52%	520	466	98	21	1	13	43	139	6	10	3	210	285	343	629	133	267	27	8	284	78	-14	+1	-1	+9	+11	0.7
2036	31	MLB MLE	ARI	50%	504	452	94	20	1	13	41	136	6	9	3	208	283	343	625	135	264	27	8	280	75	-15	+1	-2	+9	+11	0.4
2037	32	MLB MLE	ARI	49%	489	441	90	19	1	12	40	134	5	8	2	204	278	333	611	129	261	27	8	274	72	-17	+1	-3	+9	+11	0.1
2027	22	MLB CTX	ARI	26%	118	107	21	5	0	2	9	33	1	3	1	196	265	299	564	103	269	28	8	263	68	-5	+0	+0	+2	+3	0.1
2028	23	MLB CTX	ARI	39%	190	172	37	9	1	4	14	51	2	4	1	215	282	349	631	134	272	27	7	272	74	-6	+0	+0	+3	+4	0.3
2029	24	MLB CTX	ARI	44%	230	207	45	10	1	6	18	61	3	5	2	217	289	362	652	145	275	27	8	278	79	-6	+0	+0	+4	+5	0.4
2030	25	MLB CTX	ARI	47%	246	222	48	11	1	6	19	64	3	5	2	216	287	356	643	140	275	26	8	282	81	-6	+0	+0	+4	+5	0.5
2031	26	MLB CTX	ARI	49%	256	231	52	12	1	7	20	67	3	6	2	225	295	377	672	152	275	26	8	283	82	-6	+0	+0	+5	+6	0.6
2032	27	MLB CTX	ARI	49%	256	230	51	12	1	7	21	67	3	6	2	222	295	374	669	152	275	26	8	283	82	-5	+0	+0	+5	+6	0.6
2033	28	MLB CTX	ARI	49%	256	230	49	11	1	6	21	67	3	5	2	213	287	348	635	135	274	26	8	282	81	-6	+0	+0	+5	+6	0.5
2034	29	MLB CTX	ARI	48%	251	226	49	11	1	6	20	67	3	5	2	217	289	354	643	137	273	27	8	280	80	-6	+0	-0	+4	+5	0.4
2035	30	MLB CTX	ARI	52%	270	243	53	12	1	7	22	72	3	5	2	218	291	362	653	144	272	27	8	277	78	-7	+0	-1	+5	+6	0.3
2036	31	MLB CTX	ARI	50%	252	226	48	11	1	6	21	68	3	4	1	212	288	350	638	137	270	27	8	273	75	-7	+0	-1	+4	+5	0.2
2037	32	MLB CTX	ARI	49%	238	214	43	10	0	5	19	65	3	4	1	201	275	318	593	117	266	27	8	268	72	-8	+0	-1	+4	+5	0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2563	2308	496	114	9	62	204	682	30	52	18	215	287	353	640	138	276	27	8	277	72	-67	+3	-1	+46	+56	3.8
/ 162G	—	A+C		—	650	585	126	29	2	16	52	173	8	13	5	215	289	354	643	138	276	27	8	277	72	-17	+1	-0	+12	+14	1.0
Career	—	MLE		—	6467	5806	1189	264	16	150	517	1790	83	155	53	205	279	333	613	128	266	28	8	275	72	-149	+10	-1	+100	+121	8.2
/ 162G	—	MLE		—	650	584	120	27	2	15	52	180	8	16	5	205	280	336	615	130	267	28	8	275	72	-17	+1	-0	+12	+14	1.0

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
#2John Bucklast yr '14 career totals — 11 seasons, 4,009 PA	6.0	4,009	134	6	234	301	398	+72	+7	16.9	15.7
/162	664	22	1	+11.9	+1.2	2.8	pk7: 14
#3Derek Norrislast yr '17 career totals — 6 seasons, 2,195 PA	3.3	2,195	63	26	230	304	380	+39	+50	13.7	13.7
/162	664	19	8	+11.9	+15.1	4.1	pk7: 14
#4Bobby 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
#5Danny 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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 5 projected seasons	3.9	2,570	66	52	212	281	349	+46	+20	5.3	4.8
/162	664	17	13	+11.9	+5.2	1.4	pk7: 4
#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

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 Barriga (OGILVIE)	21	36→53	26→35	53	46	192/257/299	107	260	6	9	29%	7%	58	-0.9	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Cutter Dykstra 2010 · A	21	40→50	40	47→55	43	198/260/282	84	275	8	11	30%	7%	54	-2.0	222/279/297	75	309	6	16	28%	6%	65	-1.2	239/307/326	86	317	6	16	24%	8%	79	-0.1
✕Jonathan Ornelas 2021 · A	21	42→52	39→45	50	41	204/263/293	89	285	6	11	29%	6%	58	-1.7	228/278/329	101	310	10	10	28%	6%	72	-0.7	235/295/316	82	324	8	12	28%	7%	72	-0.6
✕Christian Cairo 2022 · A	21	40→46	40	53→60	46	188/283/278	90	291	7	16	35%	10%	63	-1.3	193/292/274	81	290	6	18	32%	11%	66	-1.1	205/292/276	72	294	4	31	28%	9%	64	-0.8
✕Dru Baker 2022 · A	22	45→55	38→40	56→60	41	213/266/296	82	298	4	14	29%	6%	59	-1.6	243/300/346	103	343	9	30	30%	7%	84	+0.1	253/307/340	88	352	8	39	29%	6%	81	-0.0
✕Adan Velazquez 2011 · A	21	42→52	41→45	52→50	40	203/262/305	102	282	7	10	29%	6%	60	-1.6	219/266/310	91	294	7	9	27%	5%	63	-1.4	243/282/332	89	297	7	6	20%	4%	70	-0.5
✕Hoy Park 2017 · A	21	40→49	38→45	59→55	46	192/267/282	90	275	4	17	30%	8%	57	-1.8	216/291/301	85	288	6	17	25%	9%	70	-0.8	228/317/324	96	297	8	17	24%	11%	83	+0.0
✕Ryan McKenna 2018 · A	21	45→55	41→45	53→55	39	213/270/315	102	308	8	12	32%	6%	65	-1.2	225/288/328	103	307	8	12	27%	7%	75	-0.5	213/291/342	129	316	14	13	34%	9%	78	-0.1
✕Evan Crawford 2010 · A	21	45→55	36→40	57→55	39	212/259/279	67	305	3	16	30%	6%	52	-2.2	233/276/316	83	328	3	18	28%	4%	67	-1.1	241/284/326	85	338	3	21	28%	4%	68	-0.9
✕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
✕Wynton Bernard 2013 · A	22	43→53	39→45	52→60	42	206/267/294	87	298	6	10	31%	7%	59	-1.6	241/291/332	91	319	5	19	24%	6%	76	-0.4	250/298/375	125	305	12	37	21%	6%	86	+0.3
✕Oswald Peraza 2021 · A	21	45→52	38→45	52→60	42	215/272/289	74	280	6	17	25%	6%	60	-1.6	233/286/362	129	298	15	28	26%	6%	82	+0.0	225/284/355	130	284	16	30	26%	6%	77	-0.3
✕Gioskar Amaya 2014 · A	21	43→49	39→40	49→50	40	207/262/298	91	287	5	9	29%	5%	58	-1.7	207/273/287	80	290	5	10	28%	7%	61	-1.5	200/270/271	71	280	5	10	28%	7%	53	-1.4
✕Corey Joyce 2021 · A	22	44	40	50	39	211/267/307	95	311	8	8	33%	6%	63	-1.4	201/290/309	108	293	11	12	33%	9%	74	-0.6	213/316/315	101	301	9	14	29%	10%	81	-0.0
✕Francisco Acuna 2022 · A	22	38→48	39→45	48→50	45	182/274/268	86	264	6	10	31%	8%	58	-1.7	206/278/301	95	283	7	11	28%	7%	66	-1.1	217/289/313	96	287	8	16	26%	7%	70	-0.4
✕Gilberto Celestino 2019 · A	20	43→52	38→45	52→55	41	206/254/285	79	277	5	12	27%	6%	52	-2.2	221/275/320	99	284	8	8	24%	6%	68	-1.0	234/311/308	74	302	5	10	22%	9%	76	-0.2
✕Wes Rogers 2015 · A	21	45→51	41→40	57→65	42	217/271/315	97	295	9	18	28%	6%	65	-1.2	224/281/312	88	298	5	34	25%	7%	69	-0.9	227/285/318	91	299	5	42	24%	6%	69	-0.7
✕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
✕James Harris 2015 · A	21	39→49	41→40	48→50	39	196/247/289	93	281	9	12	33%	6%	51	-2.3	222/283/313	91	316	7	13	30%	7%	70	-0.9	231/296/319	89	325	6	15	29%	8%	73	-0.5
✕Tyler Goeddel 2014 · A	21	43→51	40→45	59→55	40	207/258/309	101	292	7	20	30%	6%	59	-1.7	225/281/337	112	302	8	18	27%	6%	74	-0.5	227/288/340	113	297	9	18	25%	7%	75	-0.3
✕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

Career Stats + Projections

Career Comps

Career Path Comps