Jesús Báez — OGILVIE

Jesús BáezSS Springfield Cardinals

Age 21 R/R 5'10" / 180 lbs AA HR -14%BB -5% Svc 0.0 · Ctrl thru 2032

2026 ROS PROJECTION495 act + 9 ros · stats below = ROS only

showingROS

wRC+†99

AVG/OBP/SLG.111 / .111 / .111

PA9

HR0

K%22

BB%6

BABIP250

ISO165

MLB%2%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control+$45M ctrl surplus

Tools · ContractCON 46 / POW 50

Toolsscout grade

CONTACT46

scouting grade only

POWER50

scouting grade only

EYE40

scouting grade only

SPEED40

scouting grade only

DEFENSE45

scouting grade only

Contract ESTIMATED · service-time + WAR-based estimator (needs verification)

Status MiLB

MLB Debut 2027

Service 0 yrs (est)

Team Control Through 2032

First FA Year 2033

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2027
2027	Pre-Arb	$0.8M	+0.8	$3M	+$2M
2028	Pre-Arb	$0.8M	+1.4	$10M	+$9M
2029	Pre-Arb	$0.8M	+1.7	$11M	+$10M
2030	Arb-1	$6M	+1.9	$11M	+$7M
2031	Arb-2	$10M	+2.0	$11M	+$5M
2032	Arb-3	$15M	+2.0	$10M	+$2M
Totals		$33M		$56M	+$36M

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)
2022	17	ROK	DSL Mets 1	—	217	186	45	9	0	7	26	46	3	8	6	242	344	403	747	161	281	21	12	335	113	+3	-1	—	—	+5	0.7
2023	18	ROK	FCL Mets	—	160	138	29	9	1	2	19	28	1	5	2	210	310	333	643	123	245	18	12	292	84	-3	+0	—	—	+3	0.1
2024	19	A+	Brooklyn Cyclones	—	32	30	8	3	0	1	2	5	0	1	1	267	312	467	779	200	292	16	6	342	118	+1	-0	—	—	+1	0.1
2024	19	A	St. Lucie Mets	—	284	252	66	14	1	10	25	46	5	8	0	262	340	444	785	183	283	16	9	347	121	+7	+2	—	—	+6	1.5
2025	20	A+	Peoria Chiefs	—	416	365	89	14	0	14	43	77	4	9	4	244	330	397	727	153	270	19	10	325	106	+3	+0	—	—	+9	1.3
2025	20	A	St. Lucie Mets	—	26	23	5	0	0	0	3	3	0	0	1	217	308	217	525		250	12	12	255	58	-1	-0	—	—	+1	-0.1
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2022	17	ROK MLE	DSL Mets 1	—	217	195	33	6	0	5	17	66	3	8	6	169	247	277	523	108	214	30	8	234	45	-14	-1	—	—	+5	-1.1
2023	18	ROK MLE	FCL Mets	—	160	145	21	6	1	1	12	43	1	5	2	145	215	221	436	76	188	27	8	201	22	-15	+0	—	—	+3	-1.1
2024	19	A+ MLE	Brooklyn Cyclones	—	32	31	6	2	0	1	1	7	0	1	1	194	219	355	574	161	247	22	3	250	55	-2	-0	—	—	+1	-0.1
2024	19	A MLE	St. Lucie Mets	—	284	259	59	13	1	10	18	66	5	8	0	228	291	402	692	174	261	23	6	298	88	-4	+2	—	—	+6	0.4
2025	20	A+ MLE	Peoria Chiefs	—	416	378	74	10	0	13	30	109	4	9	4	196	262	325	588	130	232	26	7	258	61	-19	+0	—	—	+9	-1.0
2025	20	A MLE	St. Lucie Mets	—	26	24	5	0	0	0	2	4	0	0	1	208	269	208	478		235	15	8	219	34	-2	-0	—	—	+1	-0.2
2022	17	ROK MLE	DSL Mets 1	—	217	195	33	6	0	5	17	66	3	8	6	169	247	277	523	108	222	30	8	234	45	—	—	—	—	—	—
2022	17	ROK RAW	DSL Mets 1	—	217	186	45	9	0	7	26	46	3	8	6	242	344	403	747	161	281	21	12	335	45	—	—	—	—	—	—
2023	18	ROK MLE	FCL Mets	—	160	145	21	6	1	1	12	43	1	5	2	145	215	221	436	76	194	27	8	201	22	—	—	—	—	—	—
2023	18	ROK RAW	FCL Mets	—	160	138	29	9	1	2	19	28	1	5	2	210	310	333	643	123	245	18	12	292	22	—	—	—	—	—	—
2024	19	A MLE	2 teams	—	316	289	66	15	1	11	20	73	5	9	1	228	290	401	691	173	266	23	6	293	85	—	—	—	—	—	—
2024	19	A RAW	2 teams	—	316	282	74	17	1	11	27	51	5	9	1	262	338	447	784	184	284	16	9	347	85	—	—	—	—	—	—
2025	20	A+ MLE	2 teams	—	442	402	79	10	0	13	32	113	4	9	5	197	263	318	581	122	236	26	7	256	59	—	—	—	—	—	—
2025	20	A+ RAW	2 teams	—	442	388	94	14	0	14	46	80	4	9	5	242	329	387	715	144	268	18	10	321	59	—	—	—	—	—	—
2022	17	ROK MLE	DSL Mets 1	—	217	195	33	6	0	5	17	66	3	8	6	169	247	277	523	108	214	30	8	234	45	—	—	—	—	—	—
2023	18	ROK MLE	FCL Mets	—	160	146	21	6	1	1	12	43	1	5	2	144	215	219	434	75	188	27	8	201	22	—	—	—	—	—	—
2024	19	A MLE	2 teams	—	316	288	66	15	1	11	20	73	5	9	1	229	290	403	693	174	260	23	6	293	85	—	—	—	—	—	—
2025	20	A+ MLE	2 teams	—	442	403	79	10	0	13	32	113	4	9	5	196	263	318	580	122	232	26	7	256	59	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	18	ROK MLE	FCL Mets	—	160	146	21	6	1	1	12	43	1	5	2	144	215	219	434	75	188	27	8	201	22	—	—	—	—	—	—
2024	19	A MLE	2 teams	—	316	288	66	15	1	11	20	73	5	9	1	229	290	403	693	174	260	23	6	293	85	—	—	—	—	—	—
2025	20	A+ MLE	2 teams	—	442	403	79	10	0	13	32	113	4	9	5	196	263	318	580	122	232	26	7	256	59	—	—	—	—	—	—
YTD	21	AA MLE	STL	—	495	456	109	17	0	30	20	102	8	8	5	239	283	474	757	235	236	21	4	320	103	+1	-0	+0	+5	+11	1.7
▸ 2026 season
YTD	21	A+ RAW	STL	—	243	219	54	11	0	14	18	39	1	5	3	247	307	489	795	242	234	16	7	341	103	—	—	—	—	—	—
YTD	21	AA RAW	STL	—	252	229	72	9	0	24	10	40	7	3	2	314	362	668	1.030	354	281	16	4	432	103	—	—	—	—	—	—
ROS	21	AA MLE	STL	2%	9	9	1	0	0	0	0	2	0	0	0	111	111	111	222		251	22	0	314	99	-0	+0	-0	+0	+0	0.0
TOT	21	AA MLE	STL	—	504	465	110	17	0	30	20	104	8	8	5	237	280	467	747	230	234	21	4	320	102	+1	-0	-0	+5	+11	1.8
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	22	MLB MLE	STL	49%	535	495	118	19	1	26	28	111	7	7	3	238	289	438	727	200	254	21	5	319	102	+1	+0	-2	+6	+12	1.7
2028	23	MLB MLE	STL	68%	567	523	127	21	1	28	32	116	7	7	4	243	295	447	743	205	258	20	6	324	106	+4	-0	-3	+6	+12	2.0
2029	24	MLB MLE	STL	74%	589	542	133	22	1	29	35	119	7	7	4	245	300	450	750	205	260	20	6	329	108	+6	-0	-3	+6	+13	2.3
2030	25	MLB MLE	STL	77%	604	555	137	23	1	30	37	121	7	8	4	247	302	454	756	207	261	20	6	331	110	+7	+0	-3	+6	+13	2.5
2031	26	MLB MLE	STL	78%	612	562	139	23	1	31	37	123	8	8	4	247	303	457	760	210	261	20	6	332	111	+8	+0	-3	+7	+13	2.6
2032	27	MLB MLE	STL	77%	611	560	138	23	1	31	38	123	8	8	4	246	304	457	761	211	261	20	6	332	111	+8	+0	-3	+7	+13	2.6
2033	28	MLB MLE	STL	77%	606	555	136	23	1	30	38	123	8	7	4	245	303	452	755	207	260	20	6	331	110	+7	-0	-3	+6	+13	2.4
2034	29	MLB MLE	STL	75%	596	546	134	22	1	30	38	122	7	7	3	245	303	454	757	209	260	20	6	330	109	+7	+0	-4	+6	+13	2.2
2035	30	MLB MLE	STL	73%	586	537	130	21	1	29	37	121	7	6	3	242	299	447	746	205	259	21	6	327	108	+5	+0	-5	+6	+13	2.0
2036	31	MLB MLE	STL	73%	572	523	127	21	1	28	37	120	7	5	3	243	302	447	749	205	257	21	6	323	105	+3	-0	-5	+6	+12	1.7
2037	32	MLB MLE	STL	72%	553	506	119	19	1	26	35	118	7	4	2	235	294	431	725	196	254	21	6	318	101	+1	+0	-6	+6	+12	1.3
2038	33	MLB MLE	STL	72%	523	479	110	17	0	24	33	115	6	3	1	230	288	415	703	186	250	22	6	311	96	-2	+0	-7	+6	+11	0.8
2039	34	MLB MLE	STL	68%	476	438	97	15	0	21	30	107	5	2	1	221	279	400	679	178	245	22	6	301	90	-6	+0	-7	+5	+10	0.3
2040	35	MLB MLE	STL	63%	420	386	83	12	0	18	26	98	5	1	1	215	273	386	659	171	239	23	6	291	83	-8	-0	-7	+4	+9	-0.3
2027	22	MLB CTX	STL	49%	263	244	57	10	0	12	14	55	3	3	2	234	284	422	706	189	253	21	5	302	102	+1	-0	-1	+3	+6	0.8
2028	23	MLB CTX	STL	68%	388	358	86	14	1	18	22	79	5	5	2	240	294	436	729	196	256	20	6	308	106	+3	+0	-2	+4	+8	1.4
2029	24	MLB CTX	STL	74%	437	403	97	16	1	20	26	88	5	5	3	241	295	434	729	194	259	20	6	312	108	+4	-0	-2	+5	+9	1.7
2030	25	MLB CTX	STL	77%	465	428	104	17	1	22	28	93	6	6	3	243	299	442	740	199	259	20	6	314	110	+6	+0	-2	+5	+10	1.9
2031	26	MLB CTX	STL	78%	479	441	107	18	1	23	29	96	6	6	3	243	298	444	743	202	259	20	6	315	111	+6	+0	-2	+5	+10	2.0
2032	27	MLB CTX	STL	77%	471	433	105	18	1	22	29	95	6	6	3	242	299	441	740	199	259	20	6	316	111	+6	+0	-2	+5	+10	2.0
2033	28	MLB CTX	STL	77%	464	426	103	17	1	22	29	94	6	6	3	242	299	441	741	200	259	20	6	315	110	+6	+0	-3	+5	+10	1.9
2034	29	MLB CTX	STL	75%	445	409	98	16	1	21	28	91	5	5	3	240	296	438	734	198	258	20	6	313	109	+5	-0	-3	+5	+10	1.6
2035	30	MLB CTX	STL	73%	430	395	95	16	1	20	27	89	5	4	2	241	297	438	735	197	257	21	6	311	108	+4	+0	-3	+5	+9	1.5
2036	31	MLB CTX	STL	73%	416	381	90	15	0	19	27	87	5	4	2	236	295	425	721	189	255	21	6	307	105	+2	+0	-4	+4	+9	1.2
2037	32	MLB CTX	STL	72%	400	367	85	14	0	18	25	86	5	3	1	232	290	417	707	185	252	22	6	302	101	+1	+0	-4	+4	+9	1.0
2038	33	MLB CTX	STL	72%	377	346	77	12	0	16	24	83	4	2	1	223	281	396	677	173	249	22	6	295	96	-2	+0	-5	+4	+8	0.6
2039	34	MLB CTX	STL	68%	322	295	65	10	0	13	20	73	4	1	1	220	279	386	665	166	243	23	6	287	90	-4	-0	-5	+3	+7	0.2
2040	35	MLB CTX	STL	63%	265	244	51	7	0	10	16	62	3	1	0	209	266	361	627	152	238	23	6	277	83	-5	+0	-5	+3	+6	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	5622	5170	1220	200	8	256	344	1171	68	57	29	236	292	426	719	190	256	21	6	307	99	+32	-0	-42	+60	+122	17.5
/ 162G	—	A+C		—	650	598	141	23	1	30	40	135	8	7	3	236	293	428	721	192	255	21	6	307	99	+4	-0	-5	+7	+14	2.0
Career	—	MLE		—	8994	8247	1928	318	13	411	562	1934	109	111	55	234	291	425	716	191	255	22	6	314	99	+41	-0	-60	+84	+170	24.0
/ 162G	—	MLE		—	650	596	140	23	1	30	41	140	8	8	4	235	293	428	721	193	256	22	6	314	99	+3	-0	-5	+7	+14	2.0

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Dan Ugglalast yr '15 career totals — 10 seasons, 5,509 PA	8.3	5,509	235	26	241	336	447	+20	-17	28.7	28.7
/162	664	28	3	+2.4	-2.1	3.5	pk7: 29
#2Todd Frazierlast yr '20 career totals — 10 seasons, 4,909 PA	7.4	4,909	218	73	242	319	448	+18	+35	27.6	26.2
/162	664	29	10	+2.4	+4.7	3.7	pk7: 25
#3Ian Desmondlast yr '19 career totals — 11 seasons, 5,944 PA	9.0	5,944	181	181	263	315	427	+30	-4	25.8	25.0
/162	664	20	20	+3.3	-0.4	2.9	pk7: 24
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 10 projected seasons	8.5	5,630	274	57	241	294	443	+56	-20	24.3	20.1
/162	664	32	7	+6.6	-2.4	2.9	pk7: 16
#4Didi Gregoriuslast yr '22 career totals — 10 seasons, 4,238 PA	6.4	4,238	134	37	256	308	421	+45	-10	17.0	17.2
/162	664	21	6	+7.1	-1.5	2.7	pk7: 18
#5Evan Gattislast yr '18 career totals — 6 seasons, 2,662 PA	4.0	2,662	139	3	248	300	476	+30	+20	17.0	17.0
/162	664	35	1	+7.6	+4.9	4.2	pk7: 17
#6Khalil Greenelast yr '09 career totals — 7 seasons, 2,835 PA	4.3	2,835	90	25	245	302	422	+30	+14	13.0	13.0
/162	664	21	6	+7.1	+3.2	3.0	pk7: 13

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 Báez (OGILVIE)	21	30→46	40→50	40	40	233/282/430	196	251	16	5	21%	5%	99	+0.7	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
●Andy Pages 2023 · AA	22	38→48	55	45→50	44	207/289/391	184	267	23	6	31%	8%	92	+0.7	240/307/413	173	302	20	9	27%	7%	103	+1.5	266/322/445	180	311	23	10	22%	6%	115	+2.3
✕Derek Norris 2010 · A	21	43→53	51→55	45→50	48	223/303/383	161	292	19	5	30%	10%	95	+0.9	204/301/365	161	275	19	9	31%	11%	90	+0.6	258/336/412	153	316	16	5	22%	10%	109	+1.5
✕Óscar Hernández 2014 · A	21	44	50	42→40	46	227/300/377	150	271	18	4	23%	7%	92	+0.7	203/249/312	109	269	10	4	27%	5%	57	-1.8	162/212/257	95	207	10	1	27%	5%	28	-1.3
●Iván Herrera 2022 · AA	22	41→51	47→50	40→50	47	212/289/339	127	271	16	4	28%	9%	79	-0.2	238/325/362	124	309	12	10	25%	10%	97	+1.1	268/364/419	151	313	19	10	19%	10%	122	+2.5
✕Jordan Diaz 2022 · A	21	48→57	48→55	41→30	43	244/288/390	146	290	16	5	22%	6%	90	+0.6	259/299/413	154	303	18	2	21%	5%	99	+1.3	261/303/419	158	303	20	0	21%	5%	99	+1.0
●Gary Sánchez 2014 · AA	21	43→50	48→65	47→45	41	221/272/359	138	282	16	6	28%	6%	77	-0.3	238/288/385	147	290	18	6	24%	6%	88	+0.5	240/315/462	222	266	31	4	23%	8%	115	+1.9
✕Ronaldo Hernández 2019 · A	21	46→44	48→50	44→45	43	236/278/376	139	271	17	6	20%	5%	83	+0.1	227/264/362	135	271	15	6	22%	4%	74	-0.5	213/259/361	148	250	19	1	23%	4%	71	-0.6
✕Francisco Alvarez 2023 · AAA	21	44→45	58→60	43→40	47	233/313/435	202	294	27	4	30%	9%	110	+2.1	231/305/429	198	282	27	4	28%	8%	106	+1.8	229/304/430	202	273	28	2	27%	9%	104	+1.1
✕Roan Salas 2010 · A	20	46	50→65	46→40	45	236/285/393	157	263	17	5	18%	6%	89	+0.5	244/297/371	127	282	12	5	17%	6%	88	+0.5	268/322/383	115	301	9	3	14%	6%	99	+0.5
●Josmil Pinto 2010 · A	21	45→55	49→50	47→40	44	228/278/377	149	272	16	3	23%	6%	83	+0.1	216/262/347	131	267	14	2	24%	5%	70	-0.8	252/318/406	154	302	16	0	21%	8%	102	+1.2
✕Rodolfo Durán 2019 · A	21	40	53→50	45	37	219/254/384	165	278	22	4	30%	4%	76	-0.4	201/236/329	128	267	15	4	30%	4%	56	-1.9	225/268/375	150	277	17	3	25%	5%	76	-0.2
✕Max Stassi 2014 · AA	23	43	51→55	44→40	39	227/277/388	161	283	20	4	27%	5%	86	+0.3	206/251/326	120	285	14	3	32%	5%	61	-1.5	215/301/376	160	280	21	0	29%	10%	91	+0.3
●Mark Vientos 2022 · AAA	22	41→50	55→60	38→30	37	222/269/403	181	298	24	3	34%	5%	86	+0.3	239/296/423	184	323	24	2	32%	7%	101	+1.4	243/303/441	198	304	26	1	28%	7%	106	+1.5
✕Lonnie Chisenhall 2010 · AA	21	42→52	51→55	47→45	41	220/266/383	162	264	19	4	25%	5%	80	-0.1	236/285/378	142	278	15	4	21%	5%	86	+0.3	279/336/448	169	324	15	7	18%	7%	116	+1.2
✕Michael McKenry 2008 · A	23	46→48	54→55	41→40	49	238/309/421	183	282	21	7	24%	9%	105	+1.7	223/291/376	153	278	17	4	25%	8%	88	+0.4	251/325/430	179	297	23	2	23%	9%	110	+0.8
✕Juan Apodaca 2006 · A	20	42→52	48→45	46→40	40	218/258/353	135	265	17	4	25%	5%	70	-0.8	222/276/323	101	282	11	5	24%	6%	70	-0.9	275/342/379	104	339	9	3	20%	8%	104	+0.9
✕Ryan Lavarnway 2010 · A	22	44→46	53→55	43→30	41	226/285/402	176	308	20	3	32%	7%	92	+0.7	231/296/389	158	293	19	2	27%	7%	93	+0.8	227/294/372	145	279	18	1	25%	7%	87	+0.4
✕Joey Bart 2020 · AA	23	43	52→50	45→40	38	227/268/392	166	285	21	7	29%	5%	83	+0.1	232/286/370	138	332	16	5	33%	6%	85	+0.2	252/345/396	143	335	17	1	27%	10%	111	+0.9
✕Logan O'Hoppe 2023 · MLB	23	44→48	52→55	45	50	232/308/392	160	264	21	7	21%	8%	98	+1.2	235/298/411	176	286	24	5	26%	7%	99	+1.3	229/284/404	175	286	26	2	29%	6%	91	+0.4
●Sean Rodríguez 2007 · AA	22	46→49	52→60	48→50	46	235/306/404	170	299	19	12	28%	8%	100	+1.3	229/300/399	170	291	20	10	28%	7%	97	+1.1	234/307/425	191	291	23	12	27%	7%	102	+1.1

Career Stats + Projections

Career Comps

Career Path Comps