Paulo Asprilla — OGILVIE

Paulo AsprillaC FCL Cardinals

Age 20 R/R 5'8" / 177 lbs ROK HR -14%BB -5% Svc 0.0 · Ctrl thru 2037

2026 ROS PROJECTION56 act + 9 ros · stats below = ROS only

showingROS

wRC+†48

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

PA9

HR0

K%33

BB%11

BABIP274

ISO67

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$3M ctrl surplus

Tools · ContractCON 35 / POW 33

Toolsscout grade

CONTACT35

scouting grade only

POWER33

scouting grade only

EYE53

scouting grade only

SPEED48

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	+0.2	$0.5M	+$0.0M
2033	Pre-Arb	$1.0M	+0.2	$0.5M	+$0.0M
2034	Pre-Arb	$1.0M	+0.1	$0.2M	+$0.0M (cut)
2035	Arb-1	$0.6M	—	—	—
2036	Ext	beyond projection horizon · no WAR estimate
2037	Ext	beyond projection horizon · no WAR estimate
Totals		$2M		$1M	+$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	17	ROK	DSL Cardinals	—	71	59	13	0	0	0	10	19	1	0	0	220	343	220	563		325	27	14	274	72	-2	+0	—	—	+2	-0.1
2024	18	ROK	DSL Cardinals	—	77	64	16	1	0	0	11	19	1	0	0	250	368	266	634	16	356	25	14	302	91	-1	+0	—	—	+2	0.1
2025	19	ROK	FCL Cardinals	—	123	107	21	2	0	0	14	22	1	1	1	196	293	215	508	19	247	18	11	246	53	-7	-0	—	—	+3	-0.5
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2023	17	ROK MLE	DSL Cardinals	—	71	63	9	0	0	0	6	28	1	0	0	143	229	143	371		245	39	8	177	6	-8	+0	—	—	+2	-0.7
2024	18	ROK MLE	DSL Cardinals	—	77	68	12	1	0	0	7	28	1	0	0	176	263	191	454	15	284	36	9	206	26	-7	+0	—	—	+2	-0.5
2025	19	ROK MLE	FCL Cardinals	—	123	113	16	1	0	0	9	32	1	1	1	142	211	150	362	9	196	26	7	171	2	-14	-0	—	—	+3	-1.2
2023	17	ROK MLE	DSL Cardinals	—	71	63	9	0	0	0	6	28	1	0	0	143	229	143	371		257	39	8	177	6	—	—	—	—	—	—
2023	17	ROK RAW	DSL Cardinals	—	71	59	13	0	0	0	10	19	1	0	0	220	343	220	563		325	27	14	274	6	—	—	—	—	—	—
2024	18	ROK MLE	DSL Cardinals	—	77	68	12	1	0	0	7	28	1	0	0	176	263	191	454	15	300	36	9	206	26	—	—	—	—	—	—
2024	18	ROK RAW	DSL Cardinals	—	77	64	16	1	0	0	11	19	1	0	0	250	368	266	634	16	356	25	14	302	26	—	—	—	—	—	—
2025	19	ROK MLE	FCL Cardinals	—	123	113	16	1	0	0	9	32	1	1	1	142	211	150	362	9	198	26	7	171	2	—	—	—	—	—	—
2025	19	ROK RAW	FCL Cardinals	—	123	107	21	2	0	0	14	22	1	1	1	196	293	215	508	19	247	18	11	246	2	—	—	—	—	—	—
2023	17	ROK MLE	DSL Cardinals	—	71	64	9	0	0	0	6	28	1	0	0	141	229	141	369		245	39	8	177	6	—	—	—	—	—	—
2024	18	ROK MLE	DSL Cardinals	—	77	69	12	1	0	0	7	28	1	0	0	174	263	188	452	14	284	36	9	206	26	—	—	—	—	—	—
2025	19	ROK MLE	FCL Cardinals	—	123	112	16	1	0	0	9	32	1	1	1	143	211	152	363	9	196	26	7	171	2	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	17	ROK MLE	DSL Cardinals	—	71	64	9	0	0	0	6	28	1	0	0	141	229	141	369		245	39	8	177	6	—	—	—	—	—	—
2024	18	ROK MLE	DSL Cardinals	—	77	69	12	1	0	0	7	28	1	0	0	174	263	188	452	14	284	36	9	206	26	—	—	—	—	—	—
2025	19	ROK MLE	FCL Cardinals	—	123	112	16	1	0	0	9	32	1	1	1	143	211	152	363	9	196	26	7	171	2	—	—	—	—	—	—
YTD	20	ROK MLE	STL	—	56	49	8	1	0	0	4	23	2	0	1	163	255	184	438	20	296	41	7	207	26	-5	-0	+0	+1	+1	-0.3
▸ 2026 season
YTD	20	ROK RAW	STL	—	56	46	11	1	0	0	7	16	2	0	1	239	364	261	625	22	355	29	12	298	26	—	—	—	—	—	—
ROS	20	ROK MLE	STL	0%	9	8	1	0	0	0	1	3	0	0	0	125	222	125	347		275	33	11	239	48	-1	+0	+0	+0	+0	-0.0
TOT	20	ROK MLE	STL	—	65	57	9	1	0	0	5	26	2	0	1	158	250	175	425	18	281	40	8	211	29	-5	-0	+0	+1	+1	-0.3
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	21	MLB MLE	STL	34%	189	171	34	5	1	2	14	55	2	3	1	199	267	275	542	76	278	29	7	253	58	-10	+0	+0	+3	+4	-0.2
2028	22	MLB MLE	STL	48%	317	285	59	9	2	4	25	89	4	5	2	207	280	295	575	88	280	28	8	262	64	-14	+0	+0	+6	+7	-0.1
2029	23	MLB MLE	STL	54%	405	365	76	12	2	6	32	113	5	7	3	208	281	301	582	93	282	28	8	268	68	-16	+0	+0	+7	+9	0.1
2030	24	MLB MLE	STL	55%	464	418	89	14	2	8	37	128	6	8	4	213	286	313	600	100	283	28	8	272	70	-16	+0	+0	+8	+10	0.2
2031	25	MLB MLE	STL	56%	498	450	96	15	2	9	39	137	6	9	4	213	285	316	600	102	283	28	8	273	71	-17	+0	+0	+9	+11	0.3
2032	26	MLB MLE	STL	56%	517	464	98	15	2	9	41	142	7	9	4	211	285	310	596	99	283	27	8	274	71	-18	+0	+0	+9	+11	0.3
2033	27	MLB MLE	STL	55%	520	466	98	15	2	9	42	143	7	9	4	210	285	309	594	99	283	28	8	274	72	-18	+0	+0	+9	+11	0.3
2034	28	MLB MLE	STL	59%	520	466	98	15	2	9	42	144	7	9	4	210	285	309	594	99	282	28	8	273	71	-18	+0	-1	+9	+11	0.2
2035	29	MLB MLE	STL	61%	519	466	98	15	2	9	42	145	6	9	4	210	284	309	593	99	281	28	8	271	70	-19	+0	-1	+9	+11	0.1
2027	21	MLB CTX	STL	34%	65	59	12	2	0	1	5	19	1	1	0	203	277	288	565	85	278	29	8	242	58	-3	+0	+0	+1	+1	-0.1
2028	22	MLB CTX	STL	48%	154	139	28	4	1	2	12	43	2	2	1	201	275	288	562	86	280	28	8	251	64	-7	+0	+0	+3	+3	-0.1
2029	23	MLB CTX	STL	54%	220	198	41	6	1	3	17	61	3	4	2	207	280	293	573	86	281	28	8	257	68	-8	+0	+0	+4	+5	0.0
2030	24	MLB CTX	STL	55%	257	232	49	8	1	4	20	71	3	4	2	211	282	306	588	95	282	28	8	260	70	-9	+0	+0	+5	+6	0.1
2031	25	MLB CTX	STL	56%	279	252	53	8	1	5	22	77	3	5	2	210	282	310	591	99	282	28	8	261	71	-10	+0	+0	+5	+6	0.2
2032	26	MLB CTX	STL	56%	291	262	56	9	1	5	23	80	4	5	2	214	287	313	600	99	282	27	8	262	71	-10	+0	+0	+5	+6	0.2
2033	27	MLB CTX	STL	55%	288	259	55	9	1	5	23	79	4	5	2	212	287	313	599	100	282	27	8	262	72	-10	+0	+0	+5	+6	0.2
2034	28	MLB CTX	STL	59%	307	275	58	9	1	5	25	85	4	5	2	211	286	305	592	95	281	28	8	261	71	-11	+0	-0	+5	+7	0.1
2035	29	MLB CTX	STL	61%	316	283	59	9	1	5	26	88	4	5	2	208	284	300	585	92	281	28	8	259	70	-11	+0	-1	+6	+7	0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2177	1959	411	64	8	35	173	603	28	36	15	210	283	304	588	94	282	28	8	259	65	-79	+1	-1	+39	+47	0.7
/ 162G	—	A+C		—	650	585	122	19	2	10	52	180	8	11	4	209	282	299	581	91	281	28	8	259	65	-24	+0	-0	+12	+14	0.2
Career	—	MLE		—	4229	3803	784	117	17	65	337	1187	53	69	31	206	280	297	577	91	280	28	8	265	65	-145	+2	-2	+71	+86	1.1
/ 162G	—	MLE		—	650	585	121	18	3	10	52	182	8	11	5	207	281	299	580	92	280	28	8	265	65	-24	+0	-0	+12	+14	0.2

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Brendan Ryanlast yr '15 career totals — 9 seasons, 2,872 PA	4.3	2,872	19	67	234	295	315	+30	+85	10.6	11.0
/162	664	4	15	+6.9	+19.7	2.4	pk7: 11
#2Sandy 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
#3Ronny 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
#4Adam 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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 6 projected seasons	3.4	2,279	37	39	211	281	310	+41	+24	2.1	2.1
/162	664	11	11	+11.9	+7.0	0.6	pk7: 2
#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
#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
Paulo Asprilla (OGILVIE)	20	30→35	28→33	43→48	53	190/260/252	61	275	1	1	30%	7%	48	-0.4	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Gilberto Vizcarra 2019 · A	20	35	38→45	47→40	46	171/243/241	71	215	6	3	23%	7%	40	-3.1	206/263/285	79	260	5	4	22%	6%	56	-1.9	227/270/319	92	275	7	1	19%	4%	65	-0.4
✕Frank Rodriguez 2022 · A	20	40	36→45	48→30	43	191/262/259	68	272	4	4	30%	7%	50	-2.3	182/239/268	86	269	8	4	34%	5%	43	-2.8	183/244/267	84	244	9	1	28%	6%	43	-0.9
✕Christian Cairo 2021 · A	20	39→46	35→40	48→60	44	183/264/241	59	277	2	9	32%	8%	47	-2.5	186/287/267	81	289	6	15	34%	11%	63	-1.3	205/292/276	72	294	4	31	28%	9%	64	-0.8
✕Alexis Wilson 2017 · A	20	39	37→40	49→30	45	188/257/266	78	249	4	3	25%	7%	50	-2.3	202/263/285	83	265	6	4	24%	7%	56	-1.9	212/265/301	89	256	9	1	20%	6%	58	-0.5
✕Braulio Vasquez 2019 · A	20	43	38→40	47→65	40	207/259/281	74	295	5	11	30%	6%	53	-2.1	191/260/268	77	304	6	15	36%	7%	51	-2.2	188/266/266	78	286	5	32	33%	7%	52	-0.9
✕Yeldrys Molina 2009 · A	20	43	38→40	48→50	44	206/265/287	82	281	4	9	27%	7%	57	-1.8	194/252/272	78	285	4	8	31%	7%	49	-2.4	139/198/200	60	203	0	9	29%	6%	11	-1.2
✕Jose Bellorin 2011 · A	20	42	39→40	47→50	42	203/257/285	81	265	6	10	25%	6%	53	-2.1	223/280/308	85	271	6	9	19%	6%	68	-1.0	239/295/316	78	276	6	10	15%	6%	73	-0.3
✕Franklin Torres 2017 · A	20	42→41	34→40	48→50	42	199/253/250	51	273	1	9	26%	6%	43	-2.8	215/269/300	85	280	6	6	24%	7%	61	-1.5	212/274/295	83	283	7	5	26%	7%	60	-1.0
✕Leonardo Ortiz 2017 · A	20	41	34→40	48→30	40	193/235/244	52	251	2	7	23%	4%	35	-3.4	214/269/293	79	266	4	5	20%	5%	60	-1.6	222/279/309	87	262	5	1	16%	5%	65	-0.4
✕Jair Fernandez 2007 · A	20	41	37→40	48→30	45	197/255/265	68	259	4	5	25%	7%	49	-2.4	217/272/302	85	284	5	4	24%	6%	63	-1.4	217/273/302	85	277	6	2	23%	6%	60	-0.5
✕Jason Lopez 2018 · A	20	40	38→50	47→45	44	192/261/269	76	264	5	9	28%	7%	52	-2.2	204/247/318	114	284	10	6	31%	5%	57	-1.8	161/223/251	90	239	8	7	35%	7%	32	-1.1
✕Christian Cerda 2023 · A	20	41→37	39→45	50→40	51	195/281/288	93	256	6	9	25%	10%	65	-1.2	193/287/297	104	256	11	4	27%	11%	69	-0.9	180/276/283	102	231	12	2	26%	11%	61	-1.1
✕Juan Zabala 2019 · A	20	39	34→40	43→50	49	181/263/236	55	238	1	7	23%	8%	46	-2.6	188/252/275	87	288	7	6	35%	6%	50	-2.3	206/268/289	83	286	8	16	29%	7%	56	-0.8
✕Daniel Santos 2018 · A	19	37	36→45	46→40	43	178/255/242	64	250	3	6	28%	7%	45	-2.7	197/260/282	85	284	6	6	31%	6%	55	-2.0	186/247/273	87	269	7	4	31%	6%	47	-0.7
✕Willy Diaz 2015 · A	21	36	36→40	45→40	46	170/263/235	65	253	4	5	32%	9%	47	-2.6	187/263/267	80	309	5	4	37%	8%	53	-2.1	184/258/270	86	308	5	2	39%	8%	49	-0.9
✕Franklin Tineo 2015 · A	20	38	35→45	42→50	41	179/245/239	60	279	2	8	34%	7%	39	-3.1	184/260/268	84	250	6	9	27%	8%	52	-2.2	174/259/268	94	224	8	11	24%	9%	50	-0.8
✕Marco Guzman 2015 · A	20	41	39→45	44→50	48	196/264/281	85	246	6	7	22%	8%	56	-1.9	216/262/303	87	264	5	7	19%	6%	59	-1.7	224/262/324	100	290	5	8	24%	5%	62	-0.5
✕Luis Palacios 2009 · A	20	43	38→40	45→50	44	205/265/285	81	267	6	7	25%	6%	57	-1.8	186/229/261	75	283	5	5	34%	4%	37	-3.3	145/177/201	55	232	4	4	38%	3%	1	-1.2
✕Jesus Rojas 2006 · A	20	40	36→40	45	43	191/251/250	59	256	3	7	26%	6%	43	-2.8	224/288/312	88	292	7	5	24%	8%	72	-0.7	236/303/330	94	300	9	3	23%	8%	81	-0.0
✕Glenn Santiago 2021 · A	20	43	37→40	55→45	46	200/274/277	78	262	3	13	23%	7%	59	-1.6	205/269/296	91	280	7	9	28%	7%	61	-1.5	182/247/261	79	270	7	8	33%	7%	43	-1.1

Career Stats + Projections

Career Comps

Career Path Comps