Jesús Pérez — OGILVIE

Jesús PérezSS DSL Cardinals

Age 18 R/R 5'11" / 165 lbs ROK HR -14%BB -5% Svc 0.0 · Ctrl thru 2037

2026 ROS PROJECTION170 act + 16 ros · stats below = ROS only

showingROS

wRC+†69

AVG/OBP/SLG.200 / .250 / .267

PA16

HR0

K%25

BB%6

BABIP275

ISO67

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$28M ctrl surplus

Tools · ContractCON 45 / POW 41

Toolsscout grade

CONTACT45

scouting grade only

POWER41

scouting grade only

EYE50

scouting grade only

SPEED57

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	+0.7	$2M	+$1M
2033	Pre-Arb	$1.0M	+0.8	$2M	+$1M
2034	Pre-Arb	$1.0M	+0.7	$2M	+$1M
2035	Arb-1	$4M	+0.8	$2M	+$0.2M
2036	Arb-2	$6M	+0.7	$1M	+$0.0M (cut)
2037	Arb-3	$7M	+0.6	$1M	+$0.0M (cut)
Totals		$6M		$9M	+$4M

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 Cardinals	—	96	87	21	7	1	1	8	25	0	6	0	241	305	379	685	138	323	26	8	303	91	-1	+1	—	—	+2	0.2
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	17	ROK MLE	DSL Cardinals	—	96	90	14	4	1	1	5	37	0	6	0	156	200	256	456	100	234	39	5	186	12	-10	+1	—	—	+2	-0.7
2025	17	ROK MLE	DSL Cardinals	—	96	90	14	4	1	1	5	37	0	6	0	156	200	256	456	100	245	39	5	186	12	—	—	—	—	—	—
2025	17	ROK RAW	DSL Cardinals	—	96	87	21	7	1	1	8	25	0	6	0	241	305	379	685	138	323	26	8	303	12	—	—	—	—	—	—
2025	17	ROK MLE	DSL Cardinals	—	96	91	14	4	1	1	5	37	0	6	0	154	200	253	453	99	234	39	5	186	12	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2025	17	ROK MLE	DSL Cardinals	—	96	91	14	4	1	1	5	37	0	6	0	154	200	253	453	99	234	39	5	186	12	—	—	—	—	—	—
YTD	18	ROK MLE	STL	—	170	151	32	8	0	2	13	35	4	8	4	212	292	305	596	93	259	21	8	267	67	-7	+0	+0	+2	+4	-0.1
▸ 2026 season
YTD	18	ROK RAW	STL	—	170	142	40	11	0	3	21	24	4	8	4	282	387	423	809	141	316	14	12	362	67	—	—	—	—	—	—
ROS	18	ROK MLE	STL	0%	16	15	3	1	0	0	1	4	0	0	0	200	250	267	517	67	276	25	6	270	69	-1	+0	+0	+0	+0	-0.0
TOT	18	ROK MLE	STL	—	186	166	35	9	0	2	14	39	4	8	4	211	288	301	589	90	260	21	8	267	67	-7	+0	+0	+2	+4	-0.1
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	19	MLB MLE	STL	34%	228	206	46	10	1	4	17	54	3	5	2	223	292	340	632	117	278	24	7	280	76	-7	+0	+0	+2	+5	0.1
2028	20	MLB MLE	STL	48%	359	324	73	15	2	7	27	84	5	8	2	225	295	349	644	123	280	23	8	288	81	-8	+1	+0	+4	+8	0.4
2029	21	MLB MLE	STL	54%	456	411	93	19	2	9	35	105	7	10	3	226	298	348	646	122	282	23	8	293	84	-9	+1	+0	+5	+10	0.7
2030	22	MLB MLE	STL	57%	525	471	108	22	2	11	41	120	8	12	4	229	302	355	656	125	283	23	8	296	86	-9	+1	+0	+6	+11	0.9
2031	23	MLB MLE	STL	58%	570	512	118	24	3	12	44	130	9	13	4	230	303	359	662	129	284	23	8	298	88	-8	+1	+0	+6	+12	1.1
2032	24	MLB MLE	STL	57%	600	539	126	26	3	13	47	136	9	14	4	234	306	365	671	132	284	23	8	299	89	-8	+1	+0	+6	+13	1.3
2033	25	MLB MLE	STL	57%	617	555	128	26	3	13	48	140	9	14	4	231	302	359	661	128	284	23	8	300	89	-8	+1	+0	+7	+13	1.3
2034	26	MLB MLE	STL	57%	625	561	131	27	3	14	49	142	10	14	4	234	306	367	674	134	284	23	8	300	89	-8	+1	+0	+7	+14	1.4
2035	27	MLB MLE	STL	55%	625	560	131	27	3	14	50	142	10	14	4	234	308	368	676	134	284	23	8	300	89	-8	+1	+0	+7	+14	1.4
2036	28	MLB MLE	STL	55%	621	556	128	26	3	13	50	142	10	14	4	230	305	358	663	128	284	23	8	299	89	-8	+1	-1	+7	+13	1.2
2037	29	MLB MLE	STL	53%	611	548	126	26	3	13	49	141	9	13	4	230	304	359	663	130	283	23	8	297	87	-9	+1	-1	+7	+13	1.0
2038	30	MLB MLE	STL	53%	601	538	123	25	3	12	49	140	9	13	4	229	304	353	657	125	282	23	8	295	86	-10	+1	-2	+6	+13	0.8
2039	31	MLB MLE	STL	52%	586	525	117	24	2	11	47	139	9	12	4	223	298	339	637	116	280	24	8	291	83	-12	+1	-3	+6	+13	0.5
2040	32	MLB MLE	STL	56%	568	509	113	23	2	11	46	137	8	11	3	222	297	340	637	118	277	24	8	286	79	-14	+1	-4	+6	+12	0.2
2041	33	MLB MLE	STL	54%	538	482	103	20	2	9	43	132	8	10	3	214	289	320	608	106	273	25	8	279	75	-16	+1	-4	+6	+12	-0.2
2027	19	MLB CTX	STL	34%	78	71	15	3	0	1	6	19	1	2	1	211	282	296	578	85	277	24	8	268	76	-2	+0	+0	+1	+2	0.0
2028	20	MLB CTX	STL	48%	174	156	35	7	1	3	13	41	3	4	1	224	297	340	636	115	280	24	7	274	81	-4	+0	+0	+2	+4	0.2
2029	21	MLB CTX	STL	54%	247	222	50	10	1	5	19	57	4	6	2	225	298	347	645	122	281	23	8	279	84	-5	+0	+0	+3	+5	0.4
2030	22	MLB CTX	STL	57%	297	268	61	13	1	6	23	68	4	7	2	228	298	351	649	123	282	23	8	282	86	-5	+1	+0	+3	+6	0.5
2031	23	MLB CTX	STL	58%	328	295	68	14	2	6	25	75	5	7	2	231	302	353	654	122	283	23	8	283	88	-5	+1	+0	+4	+7	0.6
2032	24	MLB CTX	STL	57%	342	307	72	15	2	7	27	78	5	8	2	235	307	365	672	130	284	23	8	285	89	-5	+1	+0	+4	+7	0.7
2033	25	MLB CTX	STL	57%	350	315	73	15	2	7	27	79	5	8	2	232	303	359	661	127	284	23	8	285	89	-5	+1	+0	+4	+8	0.8
2034	26	MLB CTX	STL	57%	354	318	73	15	2	7	28	80	5	8	3	230	302	355	657	126	283	23	8	285	89	-5	+0	+0	+4	+8	0.7
2035	27	MLB CTX	STL	55%	347	311	72	15	2	7	28	79	5	8	2	232	305	360	665	129	283	23	8	285	89	-4	+1	+0	+4	+8	0.8
2036	28	MLB CTX	STL	55%	341	306	70	14	2	7	27	78	5	8	2	229	302	356	658	127	283	23	8	285	89	-5	+1	-0	+4	+7	0.7
2037	29	MLB CTX	STL	53%	327	293	66	14	1	6	26	76	5	7	2	225	299	341	641	116	282	23	8	283	87	-5	+1	-1	+4	+7	0.6
2038	30	MLB CTX	STL	53%	316	282	63	13	1	6	26	74	5	7	2	223	300	340	641	117	282	23	8	281	86	-5	+1	-1	+3	+7	0.4
2039	31	MLB CTX	STL	52%	306	273	62	13	1	6	25	72	5	6	2	227	304	348	652	121	280	24	8	277	83	-6	+0	-1	+3	+7	0.3
2040	32	MLB CTX	STL	56%	319	285	63	13	1	6	26	77	5	6	2	221	297	337	634	116	277	24	8	272	79	-8	+0	-2	+3	+7	0.1
2041	33	MLB CTX	STL	54%	292	263	56	11	1	5	23	72	4	5	2	213	286	319	606	106	273	25	8	266	75	-9	+0	-2	+3	+6	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	4418	3965	899	185	20	85	349	1025	66	97	29	227	300	348	648	121	283	23	8	280	84	-76	+8	-8	+47	+96	6.8
/ 162G	—	A+C		—	650	583	133	27	3	13	51	151	10	14	4	228	301	352	653	123	284	23	8	280	84	-11	+1	-1	+7	+14	1.0
Career	—	MLE		—	8242	7402	1681	345	38	167	648	1925	123	183	53	227	300	352	652	125	283	23	8	293	84	-143	+14	-15	+87	+176	12.3
/ 162G	—	MLE		—	650	584	132	27	3	13	51	152	10	14	4	226	299	349	649	123	282	23	8	293	84	-11	+1	-1	+7	+14	1.0

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Freddy Galvislast yr '21 career totals — 10 seasons, 4,238 PA	6.4	4,238	109	57	246	292	387	+42	+68	18.0	17.6
/162	664	17	9	+6.6	+10.6	2.8	pk7: 17
#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
#3Bobby 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
#4Danny 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
#5Cliff Penningtonlast yr '17 career totals — 10 seasons, 3,108 PA	4.7	3,108	36	84	243	310	341	+28	+29	9.2	9.5
/162	664	8	18	+5.9	+6.2	2.0	pk7: 10
#6Gordon 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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 9 projected seasons	6.8	4,526	91	99	229	298	353	+48	+27	10.0	8.3
/162	664	13	14	+7.1	+4.0	1.5	pk7: 7

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
Jesús Pérez (OGILVIE)	18	40→45	36→41	52→57	50	213/280/310	98	276	1	3	24%	7%	69	-0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Jett Williams 2023 · A	19	45→44	41→45	56→55	44	216/286/317	101	287	8	14	26%	7%	73	-0.6	206/315/327	121	297	9	23	30%	12%	86	+0.3	203/309/335	132	285	10	26	29%	12%	83	+0.1
✕Gilberto Celestino 2017 · A	18	43→52	38→45	54→55	48	203/273/292	90	270	5	13	25%	8%	61	-1.5	209/261/295	86	283	6	11	27%	6%	57	-1.8	234/311/308	74	302	5	10	22%	9%	76	-0.2
✕Aroon Escobar 2023 · A	18	42→45	39→45	47→55	48	202/296/282	81	254	6	12	22%	8%	70	-0.9	210/296/305	95	253	9	16	20%	9%	74	-0.5	215/297/320	105	260	12	19	21%	8%	77	-0.2
✕Ryan Burrowes 2023 · A	18	44→45	39→40	55→60	46	209/291/296	87	283	6	13	26%	8%	70	-0.8	190/254/255	65	320	4	20	39%	6%	47	-2.6	197/269/273	76	310	7	32	36%	7%	54	-1.5
✕Eddys Leonard 2019 · A	18	41→46	41→50	48→50	48	200/282/301	101	267	9	14	27%	9%	68	-1.0	209/282/325	116	301	11	8	32%	8%	73	-0.6	222/288/367	145	291	16	4	28%	6%	82	-0.0
✕Kelvin Hidalgo 2023 · A	18	42→41	40→45	49→55	42	206/266/301	95	275	7	13	27%	6%	61	-1.5	209/266/312	103	295	9	17	31%	6%	63	-1.3	203/255/293	90	297	8	23	33%	5%	53	-1.2
✕Cristian Inoa 2018 · A	19	44	39→45	51→45	46	211/281/297	86	269	5	12	23%	7%	65	-1.2	207/279/289	82	278	4	8	25%	8%	63	-1.3	224/277/344	119	274	12	5	22%	5%	73	-0.4
✕Jose Monserrate 2023 · A	18	47	38→40	50	45	221/288/307	86	288	5	13	24%	7%	71	-0.8	215/291/282	67	299	3	21	26%	8%	66	-1.1	187/271/231	44	298	1	34	34%	9%	45	-0.6
✕Francisco Herrera 2012 · A	18	46	40→45	47→30	49	220/280/315	95	261	7	8	19%	7%	70	-0.9	225/284/324	99	267	9	5	19%	6%	73	-0.6	225/284/320	95	260	10	3	17%	6%	71	-0.3
✕Juan Lagares 2007 · A	18	42→52	40→45	53→50	41	203/261/302	99	285	6	11	30%	6%	59	-1.7	203/241/283	80	277	4	10	27%	4%	46	-2.6	268/308/373	106	324	7	13	19%	4%	89	+0.3
✕Jorge Alcantara 2011 · A	19	45	41→45	51→50	43	216/278/319	103	302	7	11	30%	7%	70	-0.9	198/267/295	97	299	7	13	33%	8%	60	-1.6	147/226/244	97	221	6	25	34%	8%	33	-1.0
✕Ronarsy Ledesma 2011 · A	18	44	44→45	53→50	41	217/277/335	118	288	11	9	28%	6%	73	-0.6	219/286/320	101	286	6	11	24%	6%	73	-0.6	226/280/337	111	291	6	11	23%	4%	73	-0.3
✕Ricardo Cova 2022 · A	18	44→50	38→45	47→55	45	210/277/286	76	271	6	9	24%	6%	62	-1.4	207/267/292	85	318	6	15	35%	6%	59	-1.6	229/275/344	115	283	10	21	22%	5%	72	-0.5
✕Deiber Olivera 2012 · A	19	44	38→40	50→45	44	210/259/296	86	269	4	8	23%	6%	56	-1.9	236/277/312	76	275	3	7	15%	4%	67	-1.1	255/291/322	67	289	2	7	12%	3%	73	-0.2
✕Juan Villavicencio 2023 · A	18	43→45	39→50	55	42	205/265/294	89	297	6	14	32%	7%	59	-1.7	186/260/273	87	276	6	12	32%	8%	53	-2.1	195/272/312	117	292	11	20	34%	9%	64	-0.5
✕Jose Astudillo 2022 · A	18	43	37→45	52→55	46	204/259/278	73	249	3	9	19%	6%	53	-2.1	228/282/303	75	268	3	15	15%	6%	67	-1.1	286/329/371	85	315	6	22	11%	5%	96	+0.4
✕Victor Heredia 2018 · A	18	45	38→50	49→30	42	211/275/293	82	307	6	6	31%	7%	62	-1.4	221/268/323	102	290	9	4	26%	5%	66	-1.1	221/264/326	105	281	10	1	25%	4%	67	-0.4
✕Jorge Mateo 2013 · A	18	44→48	40→50	51→65	48	211/282/302	91	281	6	10	26%	9%	67	-1.1	211/270/308	97	287	7	34	27%	7%	64	-1.3	213/255/343	130	274	13	52	27%	5%	65	-0.4
✕Erick Alvarez 2023 · A	18	45	40	51→55	43	215/269/310	94	262	7	14	20%	5%	63	-1.3	194/246/263	69	281	3	8	30%	6%	45	-2.7	176/228/229	53	268	1	6	32%	6%	28	-1.2
✕Victor Rodrigues 2023 · A	18	41	38→30	49→50	43	196/259/277	81	254	5	7	24%	6%	53	-2.1	212/289/284	72	268	5	9	21%	9%	66	-1.1	221/317/274	53	274	5	10	19%	11%	72	-0.3

Career Stats + Projections

Career Comps

Career Path Comps