Victor Bericoto — OGILVIE

Victor BericotoCF Sacramento River Cats

Age 24 R/R 6'1" / 210 lbs AAA BB -3% Svc 0.0 · Ctrl thru 2033 peak 0.8 · 2029

wRC+†72

AVG/OBP/SLG.218 / .268 / .345

PA320

HR8

K%30

BB%6

MLB%10%

Scouting · now → future

HIT

50→50

PWR

50→50

SPD

45→45

EYE

43↗50

trajectory · 10 yrs

0.8peak

2029

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	+0.7	$3M	+$2M
2029	Arb-1	$0.8M	+0.8	$3M	+$3M
2030	Arb-2	$0.9M	+0.7	$3M	+$2M
2031	Arb-3	$1M	+0.5	$2M	+$1M
2032	Ext / FA-deal	$1M	+0.4	$2M	+$0.6M
2033	Ext / FA-deal	$1.0M	+0.1	$0.5M	-$0.5M
Totals		$6M		$14M	+$8M

Career Projections (MLE)

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	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
2019	17	ROK	AZL Giants Orange	306	269	63	11	1	4	33	89	3	13	2	.234	.325	.327	.652	.093	.333	29	11	.287	78	-8	+2	+0	+1	+9	0.4
2021	19	ROK	ACL Giants Black	19	18	4	1	0	1	1	9	0	0	0	.222	.263	.444	.708	.222	.375	47	5	.243	44	-1	+0	+0	+0	+1	-0.1
2022	20	A	San Jose Giants	487	442	98	16	0	10	38	155	3	3	4	.222	.288	.326	.614	.104	.313	32	8	.270	65	-19	-1	+0	+2	+14	-0.5
2023	21	A+	3 teams	591	542	119	19	3	26	33	176	1	4	1	.220	.266	.410	.675	.190	.263	30	6	.289	79	-14	+0	+0	+2	+17	0.5
2024	22	AA	2 teams	594	562	129	21	0	11	26	179	3	6	6	.230	.267	.326	.593	.096	.315	30	4	.258	56	-30	-1	+0	+2	+17	-1.2
2025	23	AA	4 teams	581	531	120	20	3	13	40	168	3	4	2	.226	.284	.348	.632	.122	.301	29	7	.278	71	-19	+0	+0	+2	+16	-0.1
▸ 2026 Season (actual · ROS · total)
2026	24	AAA	Sacramento River Cats	80	73	18	2	1	1	5	23	1	0	0	.247	.304	.342	.646	.096	.340	29	6	.284	76	-2	+0	+0	+0	+2	0.0
ROS	24	MLB	SF	240	223	50	8	1	6	14	71	1	2	1	.224	.273	.350	.623	.126	.299	30	6	.278	71	-8	+0	+0	+1	+7	-0.0
TOT	24	MLB	SF	320	296	68	10	2	7	19	94	2	2	1	.230	.281	.348	.629	.118	.310	29	6	.280	72	-10	+0	+0	+1	+9	0.0
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	25	MLB 25%	SF	370	340	79	13	2	10	25	90	2	2	1	.232	.289	.371	.659	.138	.285	24	7	.295	84	-7	+0	+0	+1	+10	0.5
2028	26	MLB 43%	SF	407	372	88	14	2	12	29	98	3	3	1	.237	.297	.382	.679	.145	.286	24	7	.299	87	-6	+0	+0	+1	+12	0.7
2029	27	MLB 58%	SF	420	383	90	15	2	12	31	102	3	2	1	.235	.297	.379	.676	.144	.287	24	7	.301	88	-6	+0	+0	+1	+12	0.8
2030	28	MLB 68%	SF	425	388	91	15	2	12	31	103	3	2	1	.235	.296	.376	.672	.142	.286	24	7	.300	88	-6	+0	-1	+2	+12	0.7
2031	29	MLB 77%	SF	420	383	90	15	2	12	31	103	3	1	1	.235	.297	.379	.676	.144	.286	25	7	.298	86	-7	-0	-1	+1	+12	0.5
2032	30	MLB 84%	SF	414	377	86	14	2	11	31	103	3	0	0	.228	.292	.363	.655	.135	.284	25	7	.295	84	-8	+0	-2	+1	+12	0.4
2033	31	MLB 91%	SF	401	365	84	14	2	11	30	102	3	0	0	.230	.294	.370	.664	.140	.283	25	7	.291	81	-9	+0	-3	+1	+11	0.1
2034	32	MLB	SF	384	350	79	13	2	10	28	99	3	0	0	.226	.289	.360	.649	.134	.281	26	7	.286	77	-10	+0	-4	+1	+11	-0.1
2035	33	MLB	SF	355	324	71	11	1	9	26	94	2	0	0	.219	.281	.343	.624	.123	.280	26	7	.281	73	-11	+0	-4	+1	+10	-0.4
2036	34	MLB	SF	311	283	61	10	1	7	23	85	2	0	0	.216	.279	.332	.611	.117	.278	27	7	.274	68	-11	+0	-5	+1	+9	-0.6
▸ Career Totals (MLE all levels + projections)
Career	—			6725	6152	1402	230	26	177	470	1826	41	42	21	.228	.287	.360	.647	.132	.292	27	7	.285	77	-178	+0	-20	+24	+191	1.8
/ 162G	—			650	595	136	22	3	17	45	176	4	4	2	.229	.287	.361	.649	.133	.292	27	7	.285	77	-17	+0	-2	+2	+18	0.2

Historical Stats — Raw (Per Stint)

Actual MLB + MiLB stats as they happened, one row per stint at each level. Use this to see what really got recorded; the table above shows MLB-equivalent translations + projections.

Year	Age	Lvl	Team	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
2019	17	ROK	AZL Giants Orange	306	249	84	16	1	5	53	62	3	13	2	.337	.459	.470	.929	.133	.432	20	17	.418	178	+27	+2	—	—	+9	3.8
2021	19	ROK	ACL Giants Black	19	18	6	1	0	2	1	6	0	0	0	.333	.368	.722	1.091	.389	.400	32	5	.466	215	+2	+0	—	—	+1	0.3
2022	20	A	San Jose Giants	487	423	112	19	0	12	57	108	3	3	4	.265	.356	.395	.751	.130	.326	22	12	.338	117	+9	-1	—	—	+14	2.3
2023	21	AA	Richmond Flying Squirrels	204	186	44	10	1	11	14	54	1	0	1	.237	.294	.478	.772	.242	.270	26	7	.332	112	+3	-0	—	—	+6	0.8
2023	21	A+	Eugene Emeralds	309	270	80	12	2	16	29	60	0	1	0	.296	.365	.533	.898	.237	.314	19	9	.380	149	+17	+0	—	—	+9	2.7
2023	21	INTL	Navegantes del Magallanes	78	71	19	6	0	2	5	17	0	3	0	.268	.316	.437	.752	.169	.315	22	6	.324	106	+1	+1	—	—	+2	0.3
2024	22	AA	Richmond Flying Squirrels	479	445	116	22	0	11	30	115	2	6	4	.261	.310	.384	.695	.124	.327	24	6	.310	96	-2	-0	—	—	+14	1.1
2024	22	INTL	Leones del Caracas	115	94	28	5	0	5	19	21	1	0	2	.298	.421	.511	.932	.213	.333	18	17	.410	172	+9	-1	—	—	+3	1.2
2025	23	AAA	Sacramento River Cats	46	46	9	1	0	1	0	9	0	0	1	.196	.196	.283	.478	.087	.222	20	0	.211	20	-4	-0	—	—	+1	-0.3
2025	23	AA	Richmond Flying Squirrels	393	344	92	15	3	12	43	92	3	2	1	.267	.354	.433	.787	.166	.329	23	11	.350	126	+11	+0	—	—	+11	2.3
2025	23	ROK	ACL Giants	25	23	11	4	1	2	1	5	0	1	0	.478	.500	1.000	1.500	.522	.529	20	4	.609	324	+6	+0	—	—	+1	0.7
2025	23	INTL	Leones del Caracas	117	106	36	8	0	2	8	28	0	1	0	.340	.386	.472	.858	.132	.436	24	7	.372	143	+6	+0	—	—	+3	0.9

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
Victor Bericoto (OGILVIE)	24	50	50	45	50	.218/.268/.345	.127	.290	8	2	30%	6%	69	-0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Casey Schmitt 2023 · AAA	24	44→47	47→50	44→45	41	.222/.273/.356	.134	.286	16	4	28%	6%	73	-0.1	.229/.280/.365	.136	.288	15	7	25%	6%	79	+0.3	.230/.285/.372	.142	.280	17	6	24%	6%	82	+0.3
✕Will Craig 2019 · AA	24	44→48	47→55	43→40	43	.218/.289/.353	.135	.290	14	4	29%	7%	80	+0.4	.217/.278/.371	.154	.285	19	4	30%	6%	80	+0.4	.212/.271/.368	.157	.273	21	1	30%	6%	73	-0.1
✕Matthew Brown 2007 · AA	24	45→48	48→55	42→45	41	.226/.280/.373	.146	.291	14	6	27%	6%	81	+0.4	.224/.280/.382	.158	.287	17	6	27%	6%	83	+0.6	.214/.273/.372	.158	.270	18	5	27%	6%	74	-0.1
✕Andre Lipcius 2022 · AA	24	43→50	44→50	48→45	46	.215/.274/.331	.116	.276	11	7	26%	8%	67	-0.5	.231/.302/.363	.132	.287	14	8	23%	9%	87	+0.8	.231/.303/.365	.135	.286	16	7	24%	9%	86	+0.7
●Jorge Bonifacio 2017 · AAA	24	41→50	45→55	47→45	40	.207/.260/.327	.120	.276	13	6	30%	6%	60	-1.0	.228/.288/.380	.152	.299	17	4	28%	7%	86	+0.8	.218/.281/.371	.153	.285	17	3	29%	7%	77	+0.1
✕Colton Welker 2022 · MLB	24	41→51	45	47→45	43	.206/.259/.324	.118	.259	12	5	26%	6%	59	-1.1	.221/.303/.325	.104	.295	10	7	26%	9%	79	+0.3	.202/.322/.231	.029	.286	0	6	25%	13%	62	-0.3
✕Christian Villanueva 2015 · AAA	24	41→45	46→55	40→50	38	.209/.257/.343	.135	.270	14	6	28%	5%	63	-0.8	.213/.262/.358	.145	.255	17	4	24%	5%	69	-0.4	.222/.280/.396	.173	.255	23	3	23%	6%	86	+0.6
✕Kyle Lewis 2019 · AA	24	42→46	47→55	47→40	38	.212/.261/.345	.133	.293	15	5	32%	6%	66	-0.6	.230/.293/.380	.150	.331	18	6	34%	8%	88	+0.9	.237/.309/.392	.156	.335	21	6	33%	9%	95	+0.8
✕Brendan Rodgers 2021 · MLB	24	46→54	47→50	49→45	40	.231/.280/.366	.135	.290	15	8	26%	5%	79	+0.3	.251/.303/.386	.135	.300	14	2	20%	6%	93	+1.3	.253/.308/.383	.131	.298	13	0	19%	6%	93	+0.8
●Michael Choice 2014 · MLB	24	48→52	46→55	43→40	44	.238/.302/.366	.128	.314	14	5	28%	7%	89	+0.9	.213/.276/.336	.123	.285	14	4	29%	6%	70	-0.3	.224/.275/.388	.164	.306	22	4	33%	5%	82	+0.2
✕Mitch Nay 2019 · AA	25	43→53	45→50	47→30	43	.217/.273/.338	.120	.276	13	4	26%	6%	69	-0.4	.223/.280/.378	.155	.281	18	3	27%	7%	82	+0.5	.196/.260/.363	.167	.252	22	1	31%	7%	67	-0.3
✕Joel Guzman 2009 · MLB	24	43→48	49→55	46→45	37	.224/.255/.367	.143	.281	18	7	28%	4%	69	-0.4	.233/.274/.387	.154	.288	20	4	26%	5%	82	+0.5	.239/.283/.382	.143	.292	19	2	25%	5%	81	+0.3
✕Matt Tuiasosopo 2010 · MLB	24	47→51	46→50	44→45	45	.227/.301/.359	.132	.312	13	5	30%	8%	86	+0.8	.209/.287/.337	.128	.293	14	7	31%	9%	75	-0.0	.207/.296/.340	.133	.292	16	2	32%	10%	76	+0.0
✕Eric Wood 2018 · AAA	25	40→50	47→55	45	43	.209/.266/.345	.137	.271	15	7	29%	7%	68	-0.5	.217/.271/.371	.154	.287	17	8	30%	6%	76	+0.1	.213/.265/.366	.153	.281	18	5	30%	5%	69	-0.2
✕Rylan Bannon 2021 · AAA	25	43→45	47→50	45→50	46	.219/.287/.360	.141	.280	15	7	27%	8%	80	+0.4	.196/.275/.339	.143	.247	18	12	27%	9%	71	-0.3	.193/.292/.339	.145	.253	18	12	29%	11%	76	+0.0
●Tyler Nevin 2021 · AA	24	45→54	43→50	46→45	46	.223/.281/.332	.109	.278	11	6	24%	7%	70	-0.3	.221/.289/.353	.132	.271	15	5	24%	8%	79	+0.3	.240/.318/.386	.146	.290	17	4	22%	8%	98	+1.1
✕Edgardo Baez 2009 · AA	24	45→46	45→50	45→50	41	.223/.274/.348	.125	.305	13	9	30%	6%	72	-0.2	.226/.279/.337	.111	.317	11	9	30%	7%	70	-0.3	.222/.277/.316	.094	.314	8	8	30%	7%	60	-0.6
✕Anthony García 2016 · AAA	24	40→46	48→55	44→45	45	.206/.280/.347	.141	.257	15	6	26%	7%	75	-0.0	.217/.283/.355	.138	.262	15	6	23%	7%	78	+0.2	.218/.290/.362	.145	.263	18	4	24%	7%	81	+0.3
✕Owen Miller 2022 · MLB	25	46→52	44→45	45→50	42	.229/.278/.345	.115	.291	12	5	25%	6%	72	-0.2	.242/.295/.361	.119	.300	11	9	22%	6%	83	+0.6	.245/.300/.355	.110	.300	9	11	21%	6%	80	+0.2
✕Corey Smith 2006 · AA	24	42→46	48→55	44→50	38	.216/.263/.358	.142	.297	16	5	32%	6%	69	-0.4	.214/.268/.355	.141	.282	17	7	29%	6%	72	-0.2	.218/.260/.379	.161	.260	20	9	25%	4%	72	-0.2

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)