Victor Santana — OGILVIE

Victor Santana3B ACL D-backs

Age 18 R/R 6'2" / 180 lbs ROK HR -11% Svc 0.0 · Ctrl thru 2037

2026 ROS PROJECTION337 act + 9 ros · stats below = ROS only

showingROS

wRC+†64

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

PA9

HR0

K%22

BB%11

BABIP295

ISO83

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$23M ctrl surplus

Tools · ContractCON 55 / POW 25

Toolsscout grade

CONTACT55

scouting grade only

POWER25

scouting grade only

EYE50

scouting grade only

SPEED35

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	+0.6	$2M	+$1M
2033	Pre-Arb	$1.0M	+0.7	$2M	+$1M
2034	Pre-Arb	$1.0M	+0.7	$2M	+$1M
2035	Arb-1	$3M	+0.7	$1M	+$0.2M
2036	Arb-2	$5M	+0.5	$0.9M	+$0.0M (cut)
2037	Arb-3	$6M	+0.4	$0.7M	+$0.0M (cut)
Totals		$6M		$8M	+$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.

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)
2025	17	ROK	DSL Arizona Red	—	208	171	50	7	1	2	27	22	6	0	1	292	405	380	785	88	320	11	13	357	128	+7	-0	—	—	+5	1.1
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	17	ROK MLE	DSL Arizona Red	—	208	182	39	5	1	1	17	33	6	0	1	214	302	269	572	55	244	16	8	260	62	-9	-0	—	—	+5	-0.5
2025	17	ROK MLE	DSL Arizona Red	—	208	182	39	5	1	1	17	33	6	0	1	214	302	269	572	55	252	16	8	260	62	—	—	—	—	—	—
2025	17	ROK RAW	DSL Arizona Red	—	208	171	50	7	1	2	27	22	6	0	1	292	405	380	785	88	320	11	13	357	62	—	—	—	—	—	—
2025	17	ROK MLE	DSL Arizona Red	—	208	183	39	5	1	1	17	33	6	0	1	213	302	268	570	55	244	16	8	260	62	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2025	17	ROK MLE	DSL Arizona Red	—	208	183	39	5	1	1	17	33	6	0	1	213	302	268	570	55	244	16	8	260	62	—	—	—	—	—	—
YTD	18	ROK MLE	ARI	—	337	310	70	9	1	1	20	77	1	0	2	226	275	271	546	45	290	23	6	239	48	-21	-1	+0	+1	+7	-1.3
▸ 2026 season
YTD	18	ROK RAW	ARI	—	215	189	52	7	1	1	22	35	1	0	2	275	354	339	692	63	327	16	10	315	48	—	—	—	—	—	—
YTD	18	A RAW	ARI	—	122	109	28	4	0	0	9	20	0	0	0	257	311	294	605	37	304	16	7	272	48	—	—	—	—	—	—
ROS	18	ROK MLE	ARI	0%	9	8	1	0	0	0	1	2	0	0	0	125	222	125	347		290	22	11	263	64	-0	+0	+0	+0	+0	-0.0
TOT	18	ROK MLE	ARI	—	346	318	71	9	1	1	21	79	1	0	2	223	274	267	541	44	287	23	6	240	49	-21	-1	+0	+1	+7	-1.3
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	19	MLB MLE	ARI	34%	366	335	79	13	2	4	25	80	3	3	1	236	295	322	617	87	293	22	7	278	74	-11	+0	+0	+1	+8	-0.2
2028	20	MLB MLE	ARI	48%	465	424	100	16	2	7	33	100	5	4	2	236	299	333	631	97	294	22	7	289	82	-10	+0	+0	+2	+10	0.2
2029	21	MLB MLE	ARI	54%	529	479	117	19	2	10	39	113	6	5	2	244	309	355	664	111	295	21	7	296	87	-8	+0	+0	+2	+11	0.5
2030	22	MLB MLE	ARI	57%	571	518	127	21	3	11	42	120	6	6	3	245	309	361	670	116	296	21	7	301	90	-7	+0	+0	+2	+12	0.8
2031	23	MLB MLE	ARI	58%	614	556	137	22	3	12	46	128	7	6	3	246	312	362	673	115	297	21	7	304	92	-6	+0	+0	+2	+13	1.0
2032	24	MLB MLE	ARI	57%	632	572	142	23	3	13	48	131	7	6	3	248	314	367	681	119	297	21	8	306	93	-5	+0	+0	+2	+14	1.1
2033	25	MLB MLE	ARI	57%	638	578	144	23	3	14	48	132	7	7	3	249	314	372	686	123	297	21	8	307	94	-5	+0	+0	+2	+14	1.2
2034	26	MLB MLE	ARI	57%	641	580	144	23	3	14	49	132	7	7	3	248	314	371	685	122	297	21	8	307	94	-5	+0	+0	+2	+14	1.2
2035	27	MLB MLE	ARI	55%	639	578	144	23	3	14	49	133	7	7	3	249	315	372	687	123	297	21	8	307	94	-5	+0	+0	+2	+14	1.2
2036	28	MLB MLE	ARI	55%	632	571	141	23	3	13	49	132	7	6	3	247	314	366	680	119	297	21	8	306	93	-5	+0	-1	+2	+14	1.0
2037	29	MLB MLE	ARI	53%	621	560	137	22	2	13	49	131	7	6	3	245	313	361	674	116	296	21	8	304	92	-6	+0	-1	+2	+13	0.8
2038	30	MLB MLE	ARI	57%	610	550	133	21	2	12	48	130	7	6	3	242	311	353	663	111	294	21	8	301	90	-7	+0	-2	+2	+13	0.6
2039	31	MLB MLE	ARI	60%	595	536	128	20	2	11	47	129	7	5	3	239	308	345	654	106	292	22	8	297	87	-9	-0	-3	+2	+13	0.3
2040	32	MLB MLE	ARI	61%	577	521	123	19	2	11	45	127	6	5	2	236	304	344	648	107	289	22	8	291	83	-12	+0	-4	+2	+13	-0.0
2027	19	MLB CTX	ARI	34%	126	115	28	5	1	1	9	28	1	1	1	243	304	330	634	87	298	22	7	275	74	-4	-0	+0	+0	+3	-0.1
2028	20	MLB CTX	ARI	48%	225	205	50	9	1	3	16	49	2	2	1	244	305	341	646	98	300	22	7	285	82	-5	+0	+0	+1	+5	0.1
2029	21	MLB CTX	ARI	54%	287	261	64	11	1	5	21	61	3	3	1	245	309	352	661	107	301	21	7	291	87	-5	+0	+0	+1	+6	0.3
2030	22	MLB CTX	ARI	57%	323	292	73	13	2	6	24	68	4	3	2	250	316	370	685	120	301	21	7	296	90	-4	-0	+0	+1	+7	0.4
2031	23	MLB CTX	ARI	58%	354	321	81	14	2	7	26	74	4	4	2	252	316	374	690	121	302	21	7	298	92	-4	+0	+0	+1	+8	0.6
2032	24	MLB CTX	ARI	57%	360	326	82	14	2	7	27	75	4	4	2	252	317	371	688	120	303	21	8	300	93	-3	+0	+0	+1	+8	0.6
2033	25	MLB CTX	ARI	57%	362	328	82	14	2	7	27	75	4	4	2	250	315	369	684	119	303	21	7	301	94	-3	+0	+0	+1	+8	0.7
2034	26	MLB CTX	ARI	57%	363	328	82	14	2	7	28	75	4	4	2	250	317	369	686	119	303	21	8	301	94	-3	+0	+0	+1	+8	0.7
2035	27	MLB CTX	ARI	55%	355	321	81	14	2	7	27	74	4	4	2	252	318	374	692	121	302	21	8	301	94	-3	+0	+0	+1	+8	0.7
2036	28	MLB CTX	ARI	55%	347	313	78	13	2	7	27	72	4	3	2	249	317	371	687	121	302	21	8	300	93	-3	-0	-0	+1	+8	0.5
2037	29	MLB CTX	ARI	53%	332	299	75	13	2	6	26	70	4	3	2	251	319	368	687	117	301	21	8	298	92	-3	-0	-1	+1	+7	0.4
2038	30	MLB CTX	ARI	57%	348	314	77	13	1	7	27	74	4	3	2	245	313	360	673	115	300	21	8	295	90	-4	-0	-1	+1	+8	0.3
2039	31	MLB CTX	ARI	60%	355	320	77	13	1	6	28	77	4	3	2	241	310	344	653	103	297	22	8	291	87	-6	-0	-2	+1	+8	0.2
2040	32	MLB CTX	ARI	61%	354	319	75	12	1	6	28	78	4	3	2	235	305	335	640	100	294	22	8	286	83	-7	-0	-2	+1	+8	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	4491	4062	1005	172	22	82	341	950	50	44	25	247	313	361	675	114	302	21	8	295	89	-54	-1	-6	+16	+97	5.3
/ 162G	—	A+C		—	650	588	146	25	3	12	49	137	7	6	4	248	314	362	676	114	302	21	8	295	89	-8	-0	-1	+2	+14	0.8
Career	—	MLE		—	8347	7548	1836	293	36	160	635	1753	95	79	38	243	310	355	665	112	295	21	8	299	89	-102	+1	-10	+29	+176	9.6
/ 162G	—	MLE		—	650	588	143	23	3	12	49	137	7	6	3	243	309	354	662	111	296	21	8	299	89	-8	+0	-1	+2	+14	0.8

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Jose Lopezlast yr '12 career totals — 9 seasons, 4,089 PA	6.2	4,089	92	25	262	292	395	+16	+24	10.7	10.7
/162	664	15	4	+2.6	+3.9	1.7	pk7: 11
#2Logan Forsythelast yr '19 career totals — 9 seasons, 3,502 PA	5.3	3,502	70	42	246	327	370	+5	-11	8.6	9.2
/162	664	13	8	+0.9	-2.2	1.6	pk7: 10
#3Gordon Beckhamlast yr '19 career totals — 10 seasons, 3,764 PA	5.7	3,764	80	34	237	301	368	+13	+19	8.2	8.4
/162	664	14	6	+2.4	+3.4	1.4	pk7: 9
#4Casey McGeheelast yr '16 career totals — 7 seasons, 3,061 PA	4.6	3,061	67	7	258	318	386	+3	+7	8.3	8.3
/162	664	15	2	+0.7	+1.4	1.8	pk7: 8
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 9 projected seasons	7.1	4,740	91	47	245	307	357	+17	+4	8.6	7.3
/162	664	13	7	+2.4	+0.6	1.2	pk7: 6
#5Yolmer Sánchezlast yr '19 career totals — 6 seasons, 2,438 PA	3.7	2,438	31	30	244	299	357	+9	+26	5.4	5.4
/162	664	8	8	+2.4	+7.2	1.5	pk7: 5
#6Dustin Ackleylast yr '16 career totals — 6 seasons, 2,347 PA	3.5	2,347	46	31	241	304	367	-5	+7	3.8	3.8
/162	664	13	9	-1.3	+1.9	1.1	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
Victor Santana (OGILVIE)	18	55	25	35	50	225/281/291	66	290	2	2	22%	7%	64	-0.5	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Alexander Campos 2018 · A	18	46	37→40	39→45	51	214/291/283	68	279	4	8	23%	9%	66	-1.1	195/266/265	70	306	4	9	34%	8%	53	-2.1	209/308/288	79	290	8	4	28%	11%	73	-0.2
✕Kelvin Fajardo 2015 · A	19	50	34→30	40→50	47	232/289/289	57	289	1	4	19%	6%	66	-1.1	215/271/261	46	256	1	7	16%	6%	53	-2.1	204/259/226	22	236	0	9	13%	5%	40	-1.1
✕Yonny Hernández 2016 · A	18	43→53	34→30	40→60	48	201/280/255	55	270	2	8	24%	8%	56	-1.9	218/295/275	57	265	1	22	17%	9%	66	-1.1	265/327/322	57	316	2	17	16%	7%	84	+0.1
✕Carlos Garay 2013 · A	18	51→61	35→30	42→30	49	238/284/296	58	273	2	4	13%	6%	65	-1.2	207/260/265	58	264	2	4	21%	6%	49	-2.4	280/309/333	53	327	2	1	15%	3%	79	-0.1
✕Enlly Morales 2009 · A	19	46	38→40	38→40	42	218/266/303	85	274	4	5	22%	4%	61	-1.5	223/273/297	74	273	4	5	19%	5%	62	-1.4	224/273/285	61	271	3	4	17%	5%	58	-0.5
✕Jesus Alastre 2015 · A	18	51	34→30	44→50	41	236/305/293	57	301	1	11	21%	4%	74	-0.5	227/280/293	66	292	2	9	22%	4%	63	-1.3	250/283/334	84	348	4	9	28%	2%	69	-0.2
✕Armando Sierra 2022 · A	18	45	37→45	41→40	41	211/271/282	71	309	4	4	31%	7%	58	-1.7	219/278/318	99	292	9	4	26%	7%	69	-0.9	214/272/321	107	278	11	2	26%	7%	65	-0.3
✕Humberto Espinoza 2006 · A	19	48	36→30	34→30	48	226/284/292	66	261	3	3	15%	6%	65	-1.2	229/298/294	65	257	3	4	11%	7%	71	-0.8	237/313/293	56	257	1	1	8%	8%	75	-0.2
✕Luis Santana 2017 · A	18	47	37→45	44→50	44	220/273/299	79	265	3	5	18%	5%	63	-1.4	249/318/344	95	286	6	10	14%	7%	91	+0.6	243/313/349	105	286	8	12	17%	7%	86	+0.1
✕Carlos Triunfel 2008 · A	18	53	35→40	40→50	41	248/281/315	67	307	2	8	20%	4%	68	-1.0	240/274/325	85	277	7	14	16%	4%	68	-1.0	243/276/324	81	281	7	10	16%	3%	66	-1.0
✕William Bergolla Jr. 2023 · A	18	53→62	36→30	43→55	51	246/305/313	67	280	3	7	13%	7%	78	-0.3	248/302/302	54	283	1	16	12%	7%	74	-0.6	267/314/314	47	296	1	26	10%	6%	78	-0.2
✕Francisco Ventura 2017 · A	18	48	40	41→40	54	228/297/319	92	260	7	6	15%	9%	76	-0.4	221/275/291	70	307	4	5	27%	7%	61	-1.5	222/262/247	25	337	0	0	32%	5%	42	-0.7
✕Hendry Mendez 2023 · A	19	46→56	38→45	42→45	50	219/292/294	75	276	6	6	22%	8%	69	-0.9	234/299/322	88	290	6	5	20%	8%	78	-0.3	258/330/364	106	310	10	6	19%	9%	97	+0.8
✕Nate Samson 2007 · A	19	44→54	35→40	38→45	46	203/282/260	57	294	3	5	29%	8%	58	-1.7	234/290/285	51	277	2	6	15%	6%	65	-1.2	223/268/296	73	262	5	10	17%	5%	57	-0.6
✕Leonardo Reginatto 2010 · A	20	52→62	36→30	41→45	45	242/284/310	68	273	3	5	13%	4%	69	-0.9	230/272/298	68	272	3	6	16%	4%	61	-1.5	268/318/327	58	323	1	7	16%	6%	82	+0.0
✕Xavier Fernández 2014 · A	19	48	36→45	40	45	227/277/291	64	288	3	5	22%	6%	61	-1.5	212/262/293	81	261	6	3	20%	5%	57	-1.8	236/287/356	119	281	13	2	20%	6%	79	-0.1
✕Rossmel Perez 2008 · A	18	46→56	35→30	42→45	52	212/306/268	56	272	2	5	21%	9%	70	-0.9	226/285/281	55	265	2	3	15%	7%	63	-1.4	266/319/323	57	287	3	5	8%	6%	83	+0.0
✕Exicardo Cayones 2010 · A	18	49	37→40	41→45	46	228/294/313	85	283	3	6	20%	6%	74	-0.5	212/280/290	78	294	2	8	27%	6%	63	-1.3	213/290/285	72	315	2	10	30%	8%	64	-0.6
✕Brallan Perez 2014 · A	18	53	35→30	45→50	54	246/314/305	59	275	2	9	11%	8%	80	-0.2	233/303/289	56	269	2	11	13%	8%	72	-0.7	246/310/290	44	283	2	12	13%	7%	71	-0.3
✕Yorman Garcia 2012 · A	18	42	36→30	40→55	48	197/291/267	70	276	3	5	27%	9%	64	-1.3	198/255/261	63	275	1	12	27%	6%	47	-2.5	189/235/243	54	262	0	18	26%	5%	32	-1.4

Career Stats + Projections

Career Comps

Career Path Comps