Jose Acosta — OGILVIE

Jose Acosta2B Carolina Mudcats

Age 26 S/R 5'10" / 170 lbs A BB +10%HR +7% Svc 0.0 · Ctrl thru 2036

wRC+†62

AVG/OBP/SLG.206 / .270 / .313

PA136

HR2

K%29

BB%7

MLB%0%

trajectory · 10 yrs

-0.1peak

2026

Contract

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

Status MiLB

MLB Debut 2031

Service 0 yrs (est)

Team Control Through 2036

First FA Year 2037

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2031
2027	MiLB	still in minors · estimated debut 2031
2028	MiLB	still in minors · estimated debut 2031
2029	MiLB	still in minors · estimated debut 2031
2030	MiLB	still in minors · estimated debut 2031
2031	Arb-3	$0.9M	—	—	—
2032	Ext / FA-deal	$0.9M	—	—	—
2033	Ext / FA-deal	$1.0M	—	—	—
2034	Ext / FA-deal	$0.2M	—	—	—
2035	Ext	beyond projection horizon · no WAR estimate
2036	Ext	beyond projection horizon · no WAR estimate
Totals		$-0.6M		$-16M	-$15M

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
2018	18	ROK	DSL Reds	168	150	22	2	2	1	15	42	2	12	3	.147	.234	.207	.440	.060	.194	25	9	.202	13	-17	+1	+0	+1	+5	-1.0
2019	19	ROK	AZL Reds	234	208	58	12	3	2	18	59	3	26	1	.279	.345	.394	.739	.115	.376	25	8	.323	105	+1	+5	+0	+1	+7	1.4
2021	21	A+	2 teams	260	238	48	10	1	4	11	101	8	14	7	.202	.261	.303	.563	.101	.328	39	4	.243	44	-16	+0	+0	+1	+7	-0.8
2022	22	A+	2 teams	321	287	49	7	3	9	23	125	2	14	7	.171	.237	.310	.547	.139	.258	39	7	.234	37	-23	+0	+0	+1	+9	-1.3
2023	23	A+	Wisconsin Timber Rattlers	178	163	29	8	2	4	7	60	3	5	5	.178	.225	.325	.551	.147	.250	34	4	.218	25	-15	-1	+0	+1	+5	-1.1
2024	24	A	3 teams	131	121	22	3	0	1	7	37	1	14	2	.182	.233	.231	.464	.050	.253	28	5	.202	13	-13	+2	+0	+0	+4	-0.7
▸ 2026 Season
2026	26	MLB	MIL	136	125	26	5	1	2	9	39	1	3	1	.208	.267	.312	.579	.104	.279	29	7	.266	62	-6	+0	+0	+0	+4	-0.1
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	27	MLB 10%	MIL	209	190	40	8	1	4	15	59	2	4	1	.211	.275	.326	.602	.116	.281	28	7	.272	66	-8	+0	+0	+1	+6	-0.1
2028	28	MLB 20%	MIL	276	250	52	10	1	5	21	77	3	5	1	.208	.277	.316	.593	.108	.281	28	8	.274	68	-10	+1	-1	+1	+8	-0.1
2029	29	MLB 33%	MIL	310	281	60	11	2	6	23	86	3	5	1	.214	.280	.331	.611	.117	.281	28	7	.275	69	-11	+1	-1	+1	+9	-0.2
2030	30	MLB 43%	MIL	333	302	63	12	2	6	25	94	3	5	1	.209	.276	.321	.597	.113	.280	28	8	.273	67	-12	+1	-2	+1	+9	-0.3
2031	31	MLB 52%	MIL	330	299	63	12	2	6	25	94	3	3	1	.211	.278	.324	.603	.114	.279	28	8	.269	64	-13	+0	-3	+1	+9	-0.6
2032	32	MLB 70%	MIL	319	289	58	11	1	5	24	93	3	2	0	.201	.269	.298	.567	.097	.277	29	8	.265	61	-14	+0	-4	+1	+9	-0.7
2033	33	MLB 87%	MIL	294	267	53	10	1	5	22	87	3	1	0	.199	.267	.300	.567	.101	.275	30	7	.259	57	-14	+0	-4	+1	+8	-0.9
2034	34	MLB	MIL	254	231	45	8	1	4	19	78	2	0	0	.195	.262	.290	.552	.095	.274	31	7	.253	52	-14	+0	-5	+1	+7	-1.1
▸ Career Totals (MLE all levels + projections)
Career	—			3753	3401	688	129	23	64	264	1131	42	113	31	.202	.268	.310	.578	.108	.280	30	7	.259	56	-185	+10	-20	+13	+106	-7.6
/ 162G	—			650	589	119	22	4	11	46	196	7	20	5	.202	.268	.309	.577	.107	.281	30	7	.259	56	-32	+2	-3	+2	+18	-1.3

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
2018	18	ROK	DSL Reds	168	141	28	3	3	1	24	29	2	12	3	.199	.323	.284	.607	.085	.241	17	14	.286	77	-4	+1	—	—	+5	0.2
2019	19	ROK	AZL Reds	234	195	77	17	5	3	31	41	3	26	1	.395	.485	.579	1.064	.185	.484	18	13	.457	208	+29	+5	—	—	+7	4.1
2021	21	A+	Hickory Crawdads	142	132	33	4	1	4	4	44	3	5	4	.250	.288	.386	.674	.136	.341	31	3	.294	83	-3	-1	—	—	+4	0.1
2021	21	A	Down East Wood Ducks	118	101	26	9	0	1	12	31	5	9	3	.257	.364	.376	.741	.119	.362	26	10	.340	119	+2	+1	—	—	+3	0.7
2022	22	A+	Wisconsin Timber Rattlers	248	218	47	6	2	8	24	73	1	10	6	.216	.296	.372	.668	.156	.281	29	10	.295	84	-5	-0	—	—	+7	0.2
2022	22	A	Down East Wood Ducks	73	61	14	4	2	2	7	21	1	4	1	.230	.319	.459	.778	.230	.316	29	10	.323	105	+0	+0	—	—	+2	0.3
2023	23	A+	Wisconsin Timber Rattlers	178	160	36	10	3	5	10	45	3	5	5	.225	.283	.419	.702	.194	.279	25	6	.301	88	-2	-1	—	—	+5	0.2
2024	24	AA	Biloxi Shuckers	33	28	4	0	0	0	3	11	1	1	0	.143	.250	.143	.393	.000	.235	33	9	.195	8	-3	+0	—	—	+1	-0.2
2024	24	A+	Wisconsin Timber Rattlers	27	23	5	2	0	1	3	2	0	2	0	.217	.308	.435	.742	.217	.200	7	11	.317	101	+0	+0	—	—	+1	0.1
2024	24	A	Carolina Mudcats	71	66	17	1	0	0	5	14	0	11	2	.258	.310	.273	.583	.015	.327	20	7	.271	66	-3	+1	—	—	+2	0.1

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
Jose Acosta (OGILVIE)	26	—	—	—	—	.206/.270/.313	.108	.279	2	3	29%	7%	62	-0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Jackson Cluff 2023 · AA	26	36→29	40→45	48→55	36	.179/.243/.270	.091	.285	8	11	38%	6%	39	-2.5	.186/.268/.305	.119	.285	12	20	36%	9%	59	-1.1	.181/.273/.314	.132	.266	14	28	35%	10%	61	-0.6
✕Hutton Moyer 2018 · AA	25	41→42	45→50	52→50	36	.206/.257/.333	.128	.294	13	13	34%	5%	61	-1.0	.203/.250/.330	.127	.320	14	16	39%	5%	56	-1.3	.157/.192/.303	.146	.247	21	22	46%	4%	24	-0.9
✕Camden Duzenack 2021 · AA	26	35→37	45→50	47→50	39	.184/.244/.304	.120	.244	14	10	30%	6%	48	-1.9	.203/.249/.336	.133	.277	16	10	32%	5%	59	-1.1	.205/.254/.334	.129	.270	15	10	29%	5%	57	-0.6
✕Mark Contreras 2021 · AA	26	36→38	44→50	47→55	38	.183/.247/.298	.115	.269	11	13	35%	6%	48	-1.9	.201/.262/.346	.145	.292	17	19	36%	6%	66	-0.6	.199/.260/.339	.140	.286	17	24	35%	6%	61	-0.7
✕JJ Schwarz 2022 · AA	26	38	44→45	47→30	44	.195/.260/.302	.108	.268	12	4	31%	8%	54	-1.4	.216/.284/.346	.130	.306	15	4	32%	9%	76	+0.0	.206/.279/.334	.128	.290	16	1	33%	9%	68	-0.3
✕Skye Bolt 2019 · AA	25	40→39	46→50	50	41	.201/.262/.333	.132	.280	13	11	32%	7%	63	-0.9	.212/.276/.351	.139	.302	14	12	33%	8%	73	-0.1	.234/.302/.369	.135	.310	15	12	28%	8%	86	+0.3
✕Chase Pinder 2022 · AA	26	38	42→45	43→45	44	.190/.273/.285	.095	.272	10	5	32%	8%	56	-1.3	.226/.321/.370	.144	.293	15	10	26%	11%	98	+1.6	.221/.324/.370	.149	.286	16	11	27%	12%	97	+0.8
✕Chris Roller 2023 · AA	26	37	39→45	50→55	40	.183/.248/.270	.087	.268	6	14	32%	6%	40	-2.4	.194/.274/.324	.130	.304	14	16	38%	9%	67	-0.5	.179/.266/.318	.140	.290	17	19	41%	9%	60	-0.7
✕Chase Simpson 2017 · A	25	39→36	44→50	51→45	44	.196/.264/.315	.120	.274	10	6	31%	8%	59	-1.1	.194/.252/.311	.117	.289	11	7	35%	7%	53	-1.5	.129/.170/.236	.107	.192	13	3	41%	4%	-4	-1.2
✕Arquímedes Gamboa 2023 · AAA	25	42→43	42→40	53→50	47	.203/.276/.304	.102	.285	9	12	31%	9%	61	-1.0	.206/.288/.308	.102	.305	9	15	32%	10%	68	-0.5	.196/.288/.293	.097	.294	9	17	33%	11%	61	-0.6
✕Marcus Littlewood 2018 · AAA	26	43	44→45	46→45	42	.213/.263/.328	.114	.279	12	5	28%	6%	61	-1.0	.201/.259/.309	.108	.274	12	6	30%	7%	55	-1.4	.157/.233/.246	.089	.209	12	2	30%	9%	27	-1.5
✕Jose Herrera 2023 · MLB	26	45	42→40	48→40	48	.221/.290/.318	.097	.288	10	6	26%	9%	70	-0.3	.212/.284/.296	.084	.274	7	4	23%	9%	63	-0.9	.195/.277/.267	.072	.250	6	1	22%	10%	50	-0.7
✕Joseph Rosa 2023 · AAA	26	44→43	44→40	55→50	41	.215/.277/.335	.120	.309	11	19	33%	7%	69	-0.4	.216/.295/.313	.097	.331	7	15	34%	9%	72	-0.2	.207/.298/.290	.083	.327	6	17	34%	10%	66	-0.3
✕Óscar Hernández 2019 · AAA	26	36	44→55	49→40	40	.189/.240/.301	.112	.241	12	5	27%	5%	45	-2.1	.198/.250/.316	.118	.259	12	6	28%	6%	53	-1.5	.165/.217/.297	.132	.203	15	0	28%	5%	33	-0.9
✕Jan Vázquez 2016 · AA	25	41	43→40	43→45	40	.202/.270/.306	.105	.290	11	7	33%	7%	59	-1.1	.219/.292/.313	.094	.295	8	9	27%	7%	71	-0.3	.217/.296/.306	.089	.289	8	7	26%	7%	67	-0.2
✕Carlos Corporán 2010 · AAA	26	41	41→45	42→40	37	.205/.249/.308	.102	.265	8	4	26%	4%	50	-1.7	.213/.264/.329	.116	.276	11	5	26%	5%	63	-0.9	.233/.289/.364	.130	.287	17	1	24%	5%	81	+0.2
✕Riley Unroe 2022 · AAA	26	44→47	43→45	47→55	43	.217/.274/.330	.113	.285	11	11	27%	6%	66	-0.6	.218/.293/.338	.120	.290	12	21	27%	9%	77	+0.1	.221/.306/.342	.121	.297	13	26	28%	10%	80	+0.2
✕Aaron Schunk 2023 · AA	26	40→43	44→45	48→50	36	.203/.250/.319	.116	.288	12	9	33%	5%	53	-1.5	.216/.261/.332	.116	.297	11	10	30%	5%	62	-0.9	.216/.262/.331	.115	.289	11	10	28%	5%	58	-0.8
✕Cory Vaughn 2015 · AAA	26	38→40	45	54→50	42	.196/.270/.318	.122	.273	13	15	32%	7%	63	-0.8	.193/.258/.302	.109	.284	11	12	34%	7%	53	-1.5	.153/.220/.254	.100	.233	9	9	36%	7%	22	-1.3
✕James Boone 2009 · AA	26	41	44→45	43→50	40	.207/.267/.321	.114	.282	13	7	31%	6%	62	-0.9	.201/.255/.303	.102	.279	10	8	30%	6%	52	-1.6	.148/.191/.199	.051	.202	4	7	28%	4%	-7	-1.3

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)