Victor Santana

3B ACL D-backs

Age 19 R/R 6'2" / 180 lbs ROK HR -11% Svc 0.0 · Ctrl thru 2038

Overview

ROKPROSPECTMiLBFA 2039

OGV OFP35OGV rank#1521ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2025	17	ROKDSL Arizona R…	208	.292/.405/.380	2	0	49	—	.190/.293/.246
2026	18	A/ROKARI	337	.268/.338/.322	1	0	54	—	.232/.281/.277
2027PROJMLE	19	MLBARI	447	.225/.282/.299	3	5	65	-0.2
2028PROJ34% MLB	20	MLBARI	101	.237/.297/.332	1	1	73	-0.1
2029PROJ48% MLB	21	MLBARI	195	.241/.302/.347	3	2	79	-0.0

Next 3 projected WAR -0.3Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2038Service0.0First FA2039

2027MiLB2028MiLB2029MiLB2030MiLB2031MiLB2032MiLB2033Pre-Arb$0.9M2034Pre-Arb$1.0M+4

Skills · percentileMiLB Statcast 2026 A

K%85

Whiff%75

Z-Con%71

wOBA14

BB%14

Chase%14

Career WAR0.0 WAR median (P10 -0.1 / P90 4.3, comp-based) · star 1% · didn't stick 88%

CompsWilliam Bergolla Jr. (age 19) · Xavier Fernández (age 19) · Nate Samson (age 19)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 210 proj PA

wRC+†65

AVG/OBP/SLG.223 / .280 / .296

PA210

HR1

K%22

BB%7

ISO74

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$11M 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 2033

Service 0 yrs (est)

Team Control Through 2038

First FA Year 2039

Year	Status	Salary	Proj WAR	Value	Surplus
2027	MiLB	still in minors · estimated debut 2033
2028	MiLB	still in minors · estimated debut 2033
2029	MiLB	still in minors · estimated debut 2033
2030	MiLB	still in minors · estimated debut 2033
2031	MiLB	still in minors · estimated debut 2033
2032	MiLB	still in minors · estimated debut 2033
2033	Pre-Arb	$0.9M	+0.4	$1M	+$0.5M
2034	Pre-Arb	$1.0M	+0.4	$0.9M	+$0.5M
2035	Pre-Arb	$1.0M	+0.4	$0.9M	+$0.4M
2036	Arb-1	$2M	+0.2	$0.4M	+$0.0M (cut)
2037	Arb-2	$2M	—	—	—
2038	Arb-3	$0.6M	—	—	—
Totals		$3M		$3M	+$1M

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. 2027 = full-season projection (no games played yet). 2028+ 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	49	—	—	—	—	—	—
2026	18	A	Visalia Rawhide	—	122	109	28	4	0	0	9	20	0	0	0	257	311	294	605	37	304	16	7	272	58	—	—	—	—	—	—
2026	18	ROK	ACL D-backs	—	215	189	52	7	1	1	22	35	1	0	2	275	354	339	692	63	327	16	10	315	51	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	17	ROK MLE	DSL Arizona Red	—	208	179	34	5	1	1	20	28	6	0	1	190	293	246	538	56	207	13	10	240	49	—	—	—	—	—	—
2026	18	A MLE	Visalia Rawhide	—	122	113	28	4	0	0	6	27	0	0	0	248	286	283	569	35	304	22	5	254	58	—	—	—	—	—	—
2026	18	ROK MLE	ACL D-backs	—	215	197	44	5	1	1	14	50	1	0	2	223	278	274	552	51	280	23	7	243	51	—	—	—	—	—	—
2025	17	ROK MLE	DSL Arizona Red	—	208	179	34	5	1	1	20	28	6	0	1	190	293	246	538	56	216	13	10	240	49	—	—	—	—	—	—
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	49	—	—	—	—	—	—
2026	18	ROK MLE	2 teams	—	337	310	72	9	1	1	20	78	1	0	2	232	281	277	558	45	300	23	6	247	53	—	—	—	—	—	—
2026	18	ROK RAW	2 teams	—	337	298	80	11	1	1	31	55	1	0	2	268	338	322	661	54	319	16	9	299	53	—	—	—	—	—	—
2025	17	ROK MLE	DSL Arizona Red	—	208	180	34	5	1	1	20	28	6	0	1	189	293	244	537	56	207	13	10	240	49	—	—	—	—	—	—
2026	18	ROK MLE	2 teams	—	337	313	72	9	1	1	20	78	1	0	2	230	281	275	556	45	289	23	6	247	53	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2025	17	ROK MLE	DSL Arizona Red	—	208	180	34	5	1	1	20	28	6	0	1	189	293	244	537	56	207	13	10	240	49	—	—	—	—	—	—
2026	18	ROK MLE	2 teams	—	337	313	72	9	1	1	20	78	1	0	2	230	281	275	556	45	289	23	6	247	53	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	19	MLB MLE	ARI	0%	447	411	92	16	3	3	29	99	4	5	2	225	282	299	581	74	286	22	6	264	65	-19	+0	+0	+2	+10	-0.2
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	20	MLB MLE	ARI	34%	294	269	62	11	2	3	20	64	3	4	1	231	290	319	610	89	289	22	7	276	73	-9	+0	+0	+1	+6	-0.2
2029	21	MLB MLE	ARI	48%	402	367	86	15	2	6	28	87	4	5	2	235	296	335	631	100	290	22	7	285	79	-10	+0	+0	+1	+9	0.0
2030	22	MLB MLE	ARI	54%	455	415	99	17	3	8	32	98	5	5	2	238	300	347	647	109	291	22	7	291	83	-9	+0	+0	+2	+10	0.3
2031	23	MLB MLE	ARI	57%	505	459	110	19	3	9	36	108	5	6	2	240	303	355	658	115	292	21	7	295	86	-8	+0	+0	+2	+11	0.5
2032	24	MLB MLE	ARI	57%	557	505	122	21	3	11	41	119	6	6	2	242	305	361	666	119	292	21	7	299	88	-8	+0	+0	+2	+12	0.7
2033	25	MLB MLE	ARI	57%	580	526	126	22	3	11	43	123	6	6	2	242	306	362	668	120	292	21	7	299	89	-8	+0	+0	+2	+13	0.7
2034	26	MLB MLE	ARI	56%	590	536	130	23	3	12	43	125	6	6	2	242	306	361	667	120	292	21	7	299	89	-8	+0	+0	+2	+13	0.7
2035	27	MLB MLE	ARI	55%	589	535	129	23	3	11	43	126	6	6	2	241	305	359	663	118	292	21	7	298	88	-9	+0	+0	+2	+13	0.7
2036	28	MLB MLE	ARI	55%	580	526	126	22	3	11	43	125	6	5	2	239	302	354	656	115	291	22	7	295	86	-10	+0	-1	+2	+13	0.4
2037	29	MLB MLE	ARI	53%	564	513	121	21	3	10	41	124	5	4	3	236	300	347	647	111	289	22	7	291	83	-11	-0	-1	+2	+12	0.1
2038	30	MLB MLE	ARI	57%	550	500	116	20	2	9	40	122	5	3	4	233	296	339	635	106	287	22	7	286	80	-13	-1	-2	+2	+12	-0.2
2028	20	MLB CTX	ARI	34%	101	92	22	4	1	1	7	22	1	1	0	237	297	332	629	95	298	22	7	283	73	-3	+0	+0	+0	+2	-0.1
2029	21	MLB CTX	ARI	48%	195	177	43	8	1	3	14	42	2	2	1	241	302	347	649	106	299	22	7	292	79	-5	+0	+0	+1	+4	-0.0
2030	22	MLB CTX	ARI	54%	247	224	56	11	2	4	18	53	3	3	1	244	306	358	664	114	300	21	7	298	83	-5	+0	+0	+1	+5	0.1
2031	23	MLB CTX	ARI	57%	286	260	64	12	2	5	21	61	3	3	1	247	309	366	675	120	301	21	7	302	86	-5	+0	+0	+1	+6	0.3
2032	24	MLB CTX	ARI	57%	315	286	71	14	2	6	23	67	3	3	1	248	311	372	683	124	302	21	7	306	88	-4	+0	+0	+1	+7	0.4
2033	25	MLB CTX	ARI	57%	328	298	73	14	2	6	24	70	3	3	1	248	312	373	685	124	302	21	7	306	89	-4	+0	+0	+1	+7	0.4
2034	26	MLB CTX	ARI	56%	333	303	74	14	2	6	24	71	3	3	1	248	311	372	684	124	302	21	7	306	89	-5	+0	+0	+1	+7	0.4
2035	27	MLB CTX	ARI	55%	327	297	73	14	2	6	24	70	3	3	1	247	310	370	680	123	301	21	7	304	88	-5	+0	+0	+1	+7	0.4
2036	28	MLB CTX	ARI	55%	318	289	72	14	2	6	23	69	3	3	1	245	308	365	673	120	300	22	7	301	86	-5	+0	-0	+1	+7	0.2
2037	29	MLB CTX	ARI	53%	302	274	67	13	2	5	22	66	3	2	2	242	305	358	663	116	298	22	7	297	83	-6	-0	-1	+1	+7	0.0
2038	30	MLB CTX	ARI	57%	314	285	69	13	2	5	23	70	3	2	2	239	301	349	651	111	296	22	7	292	80	-8	-0	-1	+1	+7	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	3066	2785	684	131	20	53	223	661	30	28	12	246	308	364	673	118	302	22	7	300	81	-55	+1	-2	+11	+66	2.1
/ 162G	—	A+C		—	650	590	145	28	4	11	47	140	6	6	3	246	307	363	670	117	302	22	7	300	81	-12	+0	-0	+2	+14	0.4
Career	—	MLE		—	6421	5832	1376	236	33	104	464	1374	66	58	28	236	300	341	641	105	290	21	7	288	81	-113	+2	-4	+21	+127	3.4
/ 162G	—	MLE		—	650	590	140	24	3	11	47	139	7	6	3	237	301	344	645	107	291	21	7	288	81	-12	+0	-0	+2	+14	0.4

How the minor-league lines were translated

One row per minor-league stint. Open a row to see each step: the raw rate, the park adjustment, the league/level factor, the age adjustment (hitters) and the resulting MLE rate. Factors are the same ones listed on the MLE Factors page.

2026 ROKACL D-backs · 215 PAwOBA .311 → .243 (−68)K% 16.3% → 23.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.28%	÷1.000	×1.440	—	—	23.44%
BB% (unintentional) /PA	10.23%	÷1.000	×0.620	—	×1.022	6.49%
HBP% /PA	0.47%	—	×0.720	—	×1.022	0.34%
Singles /BIP	27.92%	÷1.000	×0.820	×1.043	×1.022	24.41%
Doubles /BIP	4.55%	÷1.000	×0.720	×1.043	×1.022	3.49%
Triples /BIP	0.65%	÷1.000	×0.720	×1.043	×1.022	0.50%
Home runs /BIP	0.65%	÷1.000	×0.780	—	×1.022	0.52%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 18 vs a level average of 19.5 → +2.2% on BB/HBP/hit rates (1.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.043.

Result: wOBA .311 → .243; ISO .063 → .048; BABIP .327 → .280. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2026 AVisalia Rawhide · 122 PAwOBA .272 → .254 (−18)K% 16.4% → 22.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.39%	÷1.000	×1.360	—	—	22.30%
BB% (unintentional) /PA	7.38%	÷1.000	×0.690	—	×1.050	5.34%
HBP% /PA	0.00%	—	×0.780	—	×1.050	0.00%
Singles /BIP	26.97%	÷1.000	×0.920	×1.048	×1.050	27.29%
Doubles /BIP	4.49%	÷1.000	×0.830	×1.048	×1.050	4.10%
Triples /BIP	0.00%	÷1.000	×0.910	×1.048	×1.050	0.00%
Home runs /BIP	0.00%	÷1.000	×0.800	—	×1.050	0.00%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 18 vs a level average of 22.0 → +5.0% on BB/HBP/hit rates (4.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.048.

Result: wOBA .272 → .254; ISO .037 → .033; BABIP .304 → .304. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2025 DSLDSL Arizona Red · 208 PAwOBA .353 → .240 (−113)K% 10.6% → 13.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	10.58%	÷0.944	×1.220	—	—	13.67%
BB% (unintentional) /PA	12.98%	÷0.986	×0.700	—	×1.022	9.43%
HBP% /PA	2.88%	—	×0.700	—	×1.022	2.06%
Singles /BIP	26.85%	÷1.013	×0.680	×0.956	×1.022	17.61%
Doubles /BIP	4.70%	÷0.922	×0.600	×0.956	×1.022	2.99%
Triples /BIP	0.67%	÷1.134	×0.600	×0.956	×1.022	0.35%
Home runs /BIP	1.34%	÷1.121	×0.470	—	×1.022	0.58%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 124, 1B 103, 2B 84, 3B 127, K 89, BB 97 — applied at half strength. Age: age 17 vs a level average of 18.5 → +2.2% on BB/HBP/hit rates (1.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.956.

Result: wOBA .353 → .240; ISO .088 → .049; BABIP .320 → .207. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Gordon 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
#2Brent Gates'93-'99 * career totals — 7 seasons, 2,625 PA	4.0	2,625	25	18	253*	313*	350*	+8	+11	4.2	4.2
/162	664	6	5	+2.0	+2.8	1.1	pk7: 4
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 7 projected seasons	4.9	3,275	57	32	239	298	350	+12	+4	4.0	3.8
/162	664	12	7	+2.4	+0.7	0.8	pk7: 4
#3Dustin 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
#4Carlos Sanchez'14-'22 * career totals — 6 seasons, 2,503 PA	3.8	2,503	32	30	248*	305*	353*	+8	+0	2.1	2.6
/162	664	8	8	+2.0	+0.0	0.6	pk7: 3
#5Scott Leius'90-'99 * career totals — 5 seasons, 1,727 PA	2.6	1,727	28	16	237*	306*	358*	+5	+5	1.5	2.1
/162	664	11	6	+2.0	+1.9	0.6	pk7: 3
#6Eddie Leon'68-'74 * career totals — 6 seasons, 2,092 PA	3.2	2,092	24	7	239*	296*	345*	+15	+4	0.1	0.1
/162	664	8	2	+4.7	+1.4	0.0	pk7: 0

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)	19	55	25	35	50	223/280/296	73	286	1	2	22%	7%	65	-0.4	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕William Bergolla Jr. 2024 · A	19	51→61	34→30	40→55	56	233/299/285	52	260	2	6	11%	9%	69	-0.9	265/310/326	61	298	2	23	11%	6%	82	-0.0	282/322/337	55	312	1	31	9%	5%	86	+0.2
✕Xavier Fernández 2014 · A	19	49	36→45	40	45	229/279/293	64	291	3	5	22%	6%	63	-1.4	213/263/294	81	262	6	3	20%	6%	58	-1.7	233/283/351	119	276	13	2	20%	6%	76	-0.2
✕Nate Samson 2007 · A	19	44→54	35→40	38→45	46	203/282/261	57	294	3	5	29%	8%	59	-1.7	237/295/289	52	280	2	6	15%	6%	68	-1.0	251/304/296	46	283	2	6	12%	6%	70	-0.6
✕Alexander Campos 2018 · A	18	43	35→40	39→45	54	200/286/260	60	251	3	8	20%	10%	59	-1.6	189/262/255	66	292	3	9	33%	8%	49	-2.4	213/312/292	79	295	7	4	27%	11%	75	-0.1
✕Ramon Mendoza 2021 · A	20	45→51	38→45	40→45	45	210/282/297	87	291	5	4	28%	7%	66	-1.1	196/268/274	78	282	4	5	29%	8%	56	-1.9	232/310/341	109	301	10	3	24%	9%	83	+0.1
✕Kelvin Fajardo 2015 · A	19	46	34→30	40→50	49	213/276/266	53	257	1	4	17%	7%	56	-1.9	201/259/244	43	235	1	7	14%	6%	45	-2.7	185/245/205	20	211	0	9	11%	6%	29	-1.4
✕Carlos Garay 2014 · A	19	45→55	34→30	42→30	49	205/260/257	51	244	1	3	16%	7%	48	-2.5	198/252/257	59	259	3	5	23%	6%	45	-2.7	296/320/353	57	342	3	1	14%	2%	87	+0.2
✕Juan Fernandez 2019 · A	20	43→53	39→40	39→50	44	205/264/289	84	263	6	4	24%	6%	57	-1.8	211/270/305	94	274	8	5	25%	6%	63	-1.3	239/301/321	82	296	8	9	21%	6%	75	-0.3
✕Leonardo Reginatto 2010 · A	20	48→58	35→30	40→45	46	219/262/279	60	243	3	5	11%	4%	53	-2.1	216/258/279	63	254	3	6	15%	4%	52	-2.2	267/315/325	59	321	1	7	16%	6%	81	-0.1
✕Felipe Burin 2012 · A	20	51	36→40	40→45	50	238/302/311	73	295	2	4	19%	8%	76	-0.4	214/277/280	66	287	2	5	24%	8%	60	-1.6	161/234/188	28	217	0	3	24%	8%	24	-1.2
✕Jadher Areinamo 2023 · A	19	47→55	35→45	45→55	47	218/278/282	64	272	2	7	20%	6%	61	-1.5	242/281/336	94	284	7	15	17%	5%	74	-0.6	248/287/352	104	282	9	18	15%	5%	79	-0.2
✕Edilio Colina 2009 · A	20	52→56	37→40	41→45	45	244/294/318	74	281	4	6	15%	5%	75	-0.5	246/297/318	72	285	4	8	14%	5%	76	-0.4	249/303/313	65	286	3	8	13%	5%	74	-0.5
✕Paul Kelly 2006 · A	19	45→52	40	40	40	216/274/305	90	305	8	6	30%	6%	65	-1.2	232/286/316	84	295	4	5	22%	5%	72	-0.7	244/298/328	84	302	3	3	19%	5%	76	-0.3
✕Roy Morales 2015 · A	20	46	36→30	42→45	49	208/268/274	66	230	3	5	11%	6%	55	-1.9	226/291/287	61	264	3	5	15%	6%	67	-1.1	269/332/325	56	320	3	8	16%	7%	88	+0.2
✕Carlos Tocci 2016 · A	20	50→60	36→40	43→45	40	235/276/303	68	301	3	8	22%	4%	64	-1.3	255/297/330	75	322	3	8	21%	5%	78	-0.3	262/305/334	72	329	2	6	20%	5%	79	-0.2
✕Rubén Tejada 2009 · A	19	47→57	36→40	47→50	47	220/280/288	68	271	3	9	19%	6%	63	-1.4	249/304/321	72	295	3	9	16%	6%	79	-0.2	264/320/329	64	312	2	6	15%	6%	86	+0.3
✕Andy Paz 2012 · A	19	47	36→40	44→45	52	220/303/284	64	270	3	8	18%	9%	72	-0.7	199/266/269	70	259	4	5	23%	8%	53	-2.1	215/270/283	69	275	5	4	23%	7%	55	-0.5
✕Brian Schales 2015 · A	19	42→50	36→45	39→40	44	201/257/265	64	255	3	5	22%	6%	49	-2.4	206/268/268	62	276	3	3	25%	6%	54	-2.0	206/275/317	111	300	10	2	33%	7%	67	-0.7
✕Yonny Hernández 2016 · A	18	41→51	34→30	40→60	51	191/278/244	52	247	2	8	22%	9%	53	-2.1	208/291/262	54	250	1	22	15%	9%	62	-1.4	266/328/324	58	317	2	17	16%	7%	85	+0.1
✕Jon Gilmore 2009 · A	20	48→58	37→40	40→30	37	229/252/302	73	291	5	3	23%	3%	54	-2.0	251/283/327	76	317	5	2	21%	4%	72	-0.7	264/297/339	76	330	5	1	21%	4%	78	-0.2

Victor Santana

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps