Joshua Báez — OGILVIE

Joshua BáezRF Memphis Redbirds

INJURED · Reassigned to Minors (RM)

Age 23 R/R 6'3" / 220 lbs AAA HR -7%K -4% Svc 0.0 · Ctrl thru 2032 peak 1.4 · 2029

wRC+†79

AVG/OBP/SLG.204 / .284 / .354

PA197

HR6

SB11

K%35

BB%8

MLB%40%

Scouting · now → future

HIT

40↗47

PWR

57↗62

SPD

52↘50

FLD

46↗48

EYE

49↘46

trajectory · 10 yrs

1.4peak

2029

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 2027

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2027
2027	Pre-Arb	$0.8M	+0.7	$3M	+$2M
2028	Pre-Arb	$0.8M	+1.2	$10M	+$9M
2029	Arb-1	$0.8M	+1.4	$12M	+$11M
2030	Arb-2	$3M	+1.4	$13M	+$10M
2031	Arb-3	$4M	+1.3	$12M	+$8M
2032	Ext / FA-deal	$5M	+1.1	$11M	+$5M
Totals		$15M		$60M	+$45M

Career Projections (MLE)

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	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
2021	18	ROK	FCL Cardinals	95	83	9	2	1	1	7	40	3	5	0	.108	.204	.193	.397	.084	.182	42	7	.196	8	-10	+1	+0	-1	+3	-0.7
2022	19	A	2 teams	122	106	17	4	1	3	11	65	4	10	4	.160	.264	.302	.566	.142	.359	53	9	.247	47	-7	+0	+0	-1	+3	-0.5
2023	20	A	Palm Beach Cardinals	358	310	44	14	2	5	33	180	12	30	2	.142	.251	.248	.499	.106	.305	50	9	.228	33	-27	+5	+0	-4	+10	-1.6
2024	21	A+	2 teams	321	286	50	8	0	8	24	149	7	29	5	.175	.256	.287	.542	.112	.318	46	7	.240	42	-21	+4	+0	-3	+9	-1.2
2025	22	AA	2 teams	499	439	105	19	3	17	42	137	11	54	9	.239	.321	.412	.733	.173	.301	27	8	.315	99	-0	+7	+0	-5	+14	1.6
▸ 2026 Season (actual · ROS · total)
2026	23	AAA	Memphis Redbirds	87	77	14	3	0	4	6	31	4	5	0	.182	.276	.377	.652	.195	.238	36	7	.289	79	-2	+1	+0	-1	+2	0.1
ROS	23	MLB	STL	110	97	20	4	0	4	9	39	3	6	1	.206	.294	.371	.665	.165	.284	35	8	.289	79	-3	+1	+0	-1	+3	0.0
TOT	23	MLB	STL	197	174	34	7	0	8	15	70	7	11	1	.195	.286	.374	.659	.178	.268	36	8	.289	79	-5	+2	+0	-2	+6	0.1
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	24	MLB 56%	STL	505	446	95	18	2	18	43	157	11	25	3	.213	.298	.383	.681	.170	.279	31	9	.302	89	-6	+4	+0	-5	+14	0.7
2028	25	MLB 74%	STL	534	470	103	19	2	20	47	162	12	24	3	.219	.306	.396	.702	.177	.282	30	9	.312	97	-2	+4	+0	-6	+15	1.2
2029	26	MLB 89%	STL	550	484	108	20	2	22	49	165	12	23	3	.223	.310	.409	.719	.186	.284	30	9	.318	101	+1	+3	+0	-6	+16	1.4
2030	27	MLB	STL	555	488	109	20	2	22	50	166	12	21	3	.223	.311	.408	.719	.184	.284	30	9	.318	102	+1	+3	+0	-6	+16	1.4
2031	28	MLB	STL	554	487	108	20	2	22	50	167	12	19	2	.222	.310	.407	.716	.185	.284	30	9	.317	101	+0	+3	-1	-6	+16	1.3
2032	29	MLB	STL	546	480	105	19	2	21	50	166	11	17	2	.219	.307	.398	.705	.179	.283	30	9	.315	99	-1	+3	-1	-6	+15	1.1
2033	30	MLB	STL	537	472	103	19	2	20	49	165	11	15	1	.218	.306	.394	.700	.176	.281	31	9	.312	97	-2	+3	-2	-6	+15	0.8
2034	31	MLB	STL	524	460	99	18	2	19	48	163	11	12	0	.215	.304	.387	.691	.172	.280	31	9	.308	94	-4	+2	-3	-6	+15	0.5
2035	32	MLB	STL	506	445	94	17	2	18	46	160	10	9	0	.211	.299	.380	.679	.169	.278	32	9	.303	90	-6	+2	-3	-5	+14	0.2
2036	33	MLB	STL	477	421	86	15	1	17	43	154	10	7	0	.204	.293	.366	.659	.162	.276	32	9	.297	86	-8	+1	-4	-5	+14	-0.2
2037	34	MLB	STL	430	380	75	13	1	14	39	143	8	6	0	.197	.286	.347	.633	.150	.274	33	9	.291	81	-9	+1	-5	-5	+12	-0.6
▸ Career Totals (MLE all levels + projections)
Career	—			7223	6354	1330	249	27	251	640	2378	160	312	38	.209	.298	.376	.673	.166	.286	33	9	.300	87	-103	+47	-18	-77	+205	5.5
/ 162G	—			650	572	119	22	2	23	58	214	14	28	3	.208	.297	.374	.671	.166	.283	33	9	.300	87	-9	+4	-2	-7	+18	0.5

Historical Stats — Raw (Per Stint)

Actual MLB + MiLB stats as they happened, one row per stint at each level. Use this to see what really got recorded; the table above shows MLB-equivalent translations + projections.

Year	Age	Lvl	Team	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
2021	18	ROK	FCL Cardinals	95	76	12	3	1	2	14	28	3	5	0	.158	.312	.303	.614	.145	.208	29	15	.285	76	-3	+1	—	—	+3	0.1
2022	19	A	Palm Beach Cardinals	79	63	18	5	1	3	11	30	4	4	3	.286	.423	.540	.963	.254	.484	38	14	.418	178	+7	-0	—	—	+2	0.9
2022	19	ROK	FCL Cardinals	43	38	9	3	0	1	5	14	0	6	1	.237	.326	.395	.720	.158	.348	33	12	.324	106	+0	+1	—	—	+1	0.2
2023	20	A	Palm Beach Cardinals	358	298	65	20	4	7	45	122	12	30	2	.218	.344	.383	.726	.164	.337	34	13	.329	110	+4	+5	—	—	+10	2.0
2024	21	A+	Peoria Chiefs	260	227	51	7	0	10	24	97	4	19	5	.225	.309	.388	.696	.163	.333	37	9	.309	94	-2	+2	—	—	+7	0.8
2024	21	A	Palm Beach Cardinals	61	50	17	5	0	1	8	17	3	10	0	.340	.459	.500	.959	.160	.500	28	13	.430	187	+6	+2	—	—	+2	1.0
2025	22	AA	Springfield Cardinals	331	273	74	15	1	16	41	67	8	34	7	.271	.380	.509	.889	.238	.294	20	12	.383	151	+19	+4	—	—	+9	3.3
2025	22	A+	Peoria Chiefs	168	145	46	8	2	4	18	36	3	20	2	.317	.399	.483	.882	.166	.400	21	11	.390	157	+11	+3	—	—	+5	1.9

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
Joshua Báez (OGILVIE)	23	40→47	57→62	52→50	46	.204/.284/.354	.151	.293	6	10	35%	8%	79	+0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
●Esteury Ruiz 2022 · AA	23	41→51	45→50	58→70	39	.208/.263/.333	.125	.285	13	34	31%	6%	63	-0.8	.254/.326/.391	.137	.316	14	59	23%	7%	105	+2.1	.264/.338/.396	.132	.327	13	74	22%	6%	108	+1.6
●Matt McLain 2023 · AA	23	41→51	51→55	58→55	46	.207/.294/.372	.165	.295	18	24	34%	10%	87	+0.8	.244/.322/.424	.180	.328	20	21	30%	9%	112	+2.6	.242/.325/.399	.157	.318	18	21	28%	10%	104	+1.4
●Josh Lowe 2021 · AA	23	40→50	47→55	52→60	42	.204/.268/.338	.135	.294	15	19	35%	8%	67	-0.5	.243/.304/.413	.170	.341	19	26	32%	8%	101	+1.8	.255/.314/.435	.180	.350	20	31	31%	8%	108	+1.9
✕Samad Taylor 2022 · AA	24	44→53	48→50	54→65	40	.210/.285/.349	.139	.330	16	27	39%	8%	77	+0.1	.233/.302/.364	.131	.324	14	38	30%	8%	88	+0.9	.233/.306/.338	.105	.319	9	43	27%	9%	80	+0.3
●Derek Fisher 2017 · AAA	23	44→51	49→55	55	45	.219/.292/.364	.144	.309	17	20	33%	9%	83	+0.6	.229/.300/.394	.165	.320	20	18	33%	9%	95	+1.4	.226/.302/.402	.176	.310	23	18	33%	9%	95	+1.0
✕Jose Siri 2019 · AA	24	40→50	48→60	58→55	33	.206/.243/.354	.148	.296	16	22	36%	4%	60	-1.0	.205/.250/.336	.131	.323	15	22	39%	5%	58	-1.2	.227/.276/.431	.204	.317	27	25	36%	5%	92	+0.8
✕Joey Wiemer 2023 · AAA	24	43→44	54→55	56→55	42	.224/.287/.400	.176	.302	22	22	33%	7%	92	+1.2	.204/.276/.344	.140	.280	16	17	31%	8%	72	-0.2	.184/.266/.306	.121	.251	14	16	31%	9%	55	-0.9
✕Pedro León 2023 · AAA	25	39→45	47→50	53→55	44	.190/.291/.330	.140	.299	15	30	38%	10%	76	+0.1	.208/.284/.359	.151	.307	18	24	36%	7%	80	+0.4	.210/.280/.364	.153	.306	19	24	36%	7%	76	+0.1
●Christopher Morel 2022 · AAA	23	38→46	48→60	53→50	36	.199/.247/.340	.141	.285	16	15	35%	5%	58	-1.2	.223/.291/.421	.198	.297	25	12	33%	8%	98	+1.6	.224/.302/.431	.208	.280	28	10	30%	9%	102	+1.8
✕Joe Benson 2011 · AA	23	45→50	52→60	51→50	41	.226/.298/.400	.174	.315	18	16	33%	7%	96	+1.5	.220/.286/.381	.161	.306	17	14	32%	7%	86	+0.8	.202/.268/.342	.140	.286	13	14	32%	7%	66	-0.4
✕Michael A. Taylor 2015 · MLB	24	45→51	46→55	56→60	38	.215/.273/.346	.131	.328	13	27	37%	7%	71	-0.3	.229/.283/.369	.140	.329	16	24	33%	7%	81	+0.4	.236/.294/.379	.143	.303	19	14	28%	7%	86	+0.6
✕Wilkin Ramirez 2010 · AAA	24	45→50	48→55	57→55	36	.224/.272/.364	.140	.328	16	27	36%	6%	75	-0.0	.216/.262/.374	.158	.311	19	20	35%	5%	73	-0.1	.238/.272/.387	.149	.308	16	16	28%	4%	77	+0.1
●Wilyer Abreu 2023 · AA	24	42→48	48→60	51→50	48	.206/.299/.347	.142	.306	17	19	36%	11%	83	+0.6	.232/.314/.413	.181	.299	23	14	29%	10%	106	+2.2	.240/.318/.444	.204	.286	27	11	26%	10%	110	+1.8
●Teoscar Hernández 2016 · AA	23	40→50	47→65	55	37	.204/.252/.339	.135	.288	14	22	34%	5%	59	-1.1	.226/.282/.385	.159	.295	18	20	28%	7%	85	+0.7	.276/.326/.479	.204	.351	27	8	28%	6%	126	+3.6
✕Brewer Hicklen 2019 · A	23	43→41	48→55	57→60	33	.213/.266/.356	.144	.321	16	22	38%	5%	71	-0.3	.210/.273/.352	.142	.325	17	27	39%	6%	72	-0.2	.193/.279/.373	.180	.281	22	38	37%	8%	79	+0.2
✕Eguy Rosario 2023 · AAA	23	45→49	48→55	51→55	44	.226/.288/.373	.147	.292	15	21	28%	7%	84	+0.6	.212/.274/.363	.151	.280	17	17	29%	7%	76	+0.1	.189/.253/.336	.147	.253	17	17	32%	7%	57	-0.6
●Estevan Florial 2023 · MLB	25	43→51	49→55	54→60	41	.214/.277/.365	.151	.314	17	28	36%	8%	78	+0.2	.219/.287/.390	.171	.322	20	28	36%	8%	89	+0.9	.209/.285/.389	.180	.302	22	30	36%	9%	86	+0.6
✕Daz Cameron 2020 · AAA	23	41→45	45→55	52→55	42	.202/.273/.332	.129	.285	12	17	32%	7%	67	-0.5	.207/.273/.337	.130	.293	12	18	32%	7%	69	-0.4	.220/.291/.388	.168	.274	20	25	27%	8%	88	+0.6
✕Drew Waters 2023 · MLB	24	45→53	48→55	56→55	40	.220/.283/.362	.142	.326	16	23	36%	7%	79	+0.3	.230/.293/.376	.146	.332	14	21	33%	7%	87	+0.8	.229/.292/.367	.138	.327	12	21	32%	7%	81	+0.3
✕Shay Whitcomb 2022 · A	23	45→44	48→55	53→55	35	.216/.270/.351	.134	.343	17	20	40%	6%	71	-0.3	.196/.246/.344	.148	.294	20	18	39%	5%	59	-1.1	.204/.266/.379	.174	.263	25	19	32%	6%	75	-0.0

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)