Luisangel Acuña

Luisangel Acuña2B Chicago White Sox

Age 24 R/R 5'7" / 181 lbs MLB BB +6%HR -6% Svc 0.907 · Ctrl thru 2031 peak 1.2 · 2028

wRC+†vL 4564vR 42

AVG/OBP/SLG.249 / .297 / .364

PA350

HR7

SB26

K%21

BB%6

MLB%100%

Scouting · now → future

HIT

50→50

PWR

35→35

SPD

60→60

EYE

38↗45

trajectory · 10 yrs

0.9peak

2026

Contract

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

Status Pre-Arb

MLB Debut 2024

Service 0.907 yrs.days

Team Control Through 2031

First FA Year 2027

Year	Status	Salary	Proj WAR	Value	Surplus
2026	Pre-Arb	$0.8M	—	—	—
2027	Pre-Arb	$0.8M	+1.0	$8M	+$7M
2028	Pre-Arb	$0.8M	+1.2	$10M	+$9M
2029	Arb-1	$3M	+1.2	$10M	+$8M
2030	Arb-2	$4M	+1.1	$10M	+$6M
2031	Arb-3	$5M	+0.9	$4M	+$0.0M (cut)
Totals		$12M		$43M	+$30M

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
2019	17	ROK	DSL Rangers 1	240	215	54	8	2	2	21	37	2	17	6	.251	.324	.335	.658	.084	.292	15	9	.289	79	-6	+1	+0	+1	+7	0.3
2021	19	A	Down East Wood Ducks	473	431	96	12	3	10	31	146	4	44	11	.223	.281	.334	.615	.111	.305	31	7	.269	64	-19	+4	+0	+2	+13	0.0
2022	20	A+	3 teams	499	456	104	17	3	11	40	151	3	48	11	.228	.295	.351	.645	.123	.316	30	8	.279	72	-16	+5	+0	+2	+14	0.5
2023	21	AA	Binghamton Rumble Ponies	569	526	141	23	1	9	36	135	2	57	10	.268	.317	.367	.684	.099	.342	24	6	.299	87	-8	+7	+0	+2	+16	1.8
2024	22	AAA	3 teams	746	702	170	23	9	10	29	148	6	58	16	.242	.278	.343	.621	.101	.291	20	4	.267	62	-32	+5	+2	+8	+21	0.5
2025	23	MLB	3 teams	489	444	111	20	2	0	30	93	5	36	7	.250	.305	.304	.609	.054	.310	19	6	.271	65	-19	+4	+1	+2	+14	0.1
▸ 2026 Season (actual · ROS · total)
2026	24	MLB	Chicago White Sox	69	63	12	1	0	0	3	10	1	6	0	.190	.239	.206	.445	.016	.222	14	4	.202	13	-7	+1	-3	+0	+2	-0.6
ROS	24	MLB	CWS	281	261	64	9	2	5	16	55	2	20	3	.245	.294	.352	.646	.107	.288	20	6	.285	76	-7	+3	+1	+1	+8	0.5
TOT	24	MLB	CWS	350	324	76	10	2	5	19	65	3	26	3	.235	.283	.324	.607	.090	.277	19	5	.269	64	-14	+4	-2	+1	+10	-0.1
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	25	MLB	CWS	411	381	93	12	3	8	24	71	3	29	4	.244	.294	.354	.648	.110	.280	17	6	.289	79	-10	+4	+1	+1	+12	0.9
2028	26	MLB	CWS	435	403	98	13	3	8	26	75	3	30	4	.243	.294	.350	.644	.107	.281	17	6	.291	81	-9	+4	+1	+2	+12	1.0
2029	27	MLB	CWS	437	404	99	13	3	8	27	76	3	30	4	.245	.297	.351	.649	.106	.281	17	6	.291	81	-9	+4	+1	+2	+12	1.0
2030	28	MLB	CWS	435	402	98	13	3	8	27	77	3	30	4	.244	.296	.351	.647	.107	.280	18	6	.290	80	-10	+4	+0	+2	+12	0.9
2031	29	MLB	CWS	426	393	96	13	3	8	27	76	3	28	3	.244	.298	.354	.652	.109	.279	18	6	.288	79	-10	+4	-0	+2	+12	0.8
2032	30	MLB	CWS	418	387	92	12	2	8	26	76	2	27	3	.238	.289	.341	.630	.103	.278	18	6	.285	76	-11	+4	-1	+1	+12	0.5
2033	31	MLB	CWS	403	373	88	12	2	7	25	75	2	24	2	.236	.287	.335	.623	.099	.277	19	6	.281	73	-12	+4	-2	+1	+11	0.3
2034	32	MLB	CWS	384	355	83	11	2	6	24	74	2	21	1	.234	.286	.327	.613	.093	.276	19	6	.277	70	-13	+4	-3	+1	+11	0.0
2035	33	MLB	CWS	354	327	75	10	2	5	22	70	2	18	1	.229	.282	.318	.600	.089	.275	20	6	.271	66	-14	+3	-3	+1	+10	-0.3
2036	34	MLB	CWS	310	286	65	8	2	4	19	64	2	15	0	.227	.280	.311	.591	.084	.273	21	6	.265	61	-14	+3	-4	+1	+9	-0.5
▸ Career Totals (MLE all levels + projections)
Career	—			7310	6746	1627	229	47	117	450	1499	49	532	90	.241	.293	.341	.635	.100	.292	21	6	.281	73	-219	+70	-6	+31	+207	8.6
/ 162G	—			650	600	144	20	4	10	40	133	4	47	8	.240	.292	.337	.629	.097	.291	20	6	.281	73	-20	+6	-1	+3	+18	0.8

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
2019	17	ROK	DSL Rangers 1	240	202	69	11	3	2	34	26	2	17	6	.342	.441	.455	.897	.114	.381	11	14	.401	165	+18	+1	—	—	+7	2.6
2021	19	A	Down East Wood Ducks	473	413	110	15	3	12	49	110	4	44	11	.266	.350	.404	.754	.138	.329	23	10	.335	115	+8	+4	—	—	+13	2.6
2022	20	AA	Frisco RoughRiders	169	152	34	6	2	3	17	36	0	12	3	.224	.302	.349	.650	.125	.274	21	10	.295	84	-3	+1	—	—	+5	0.3
2022	20	A+	Hickory Crawdads	240	205	65	10	0	8	34	60	1	28	6	.317	.417	.483	.900	.166	.416	25	14	.402	166	+18	+3	—	—	+7	2.8
2022	20	INTL	Surprise Saguaros	90	80	19	2	1	2	8	20	2	8	2	.237	.322	.362	.685	.125	.293	22	9	.312	97	-0	+1	—	—	+3	0.3
2023	21	AA	Binghamton Rumble Ponies	569	510	150	28	2	9	52	106	2	57	10	.294	.362	.410	.772	.116	.353	19	9	.345	122	+14	+7	—	—	+16	3.8
2024	22	MLB	New York Mets	40	39	12	2	1	3	1	6	0	0	1	.308	.325	.641	.966	.333	.300	15	2	.414	175	+3	-0	+2	+8	+1	1.5
2024	22	AAA	Syracuse Mets	587	547	141	20	6	7	32	96	2	40	14	.258	.301	.355	.656	.097	.299	16	5	.292	82	-12	+2	—	—	+17	0.7
2024	22	INTL	Cardenales de Lara	119	101	34	5	1	3	11	18	4	18	1	.337	.422	.495	.917	.158	.383	15	9	.399	164	+9	+3	—	—	+3	1.5
2025	23	MLB	New York Mets	193	175	41	7	0	0	13	37	2	16	1	.234	.295	.274	.569	.040	.295	19	7	.261	58	-9	+3	+1	+2	+5	0.1
2025	23	AAA	Syracuse Mets	122	109	33	7	1	0	9	19	0	8	2	.303	.356	.385	.741	.083	.355	16	7	.324	106	+1	+1	—	—	+3	0.5
2025	23	INTL	Cardenales de Lara	174	142	40	7	3	8	26	33	3	12	4	.282	.404	.542	.946	.261	.308	19	15	.407	169	+14	+1	—	—	+5	2.0
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			233	214	53	9	1	3	14	43	2	16	2	.248	.300	.341	.641	.093	.296	18	6	.287	78	-6	+2	+3	+10	+7	1.6

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
Luisangel Acuña (OGILVIE)	24	50	35	60	45	.241/.288/.344	.103	.279	6	25	18%	6%	76	+0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Vidal Bruján 2022 · MLB	24	45→55	44→45	61→65	47	.223/.278/.340	.117	.263	11	41	19%	7%	71	-0.3	.223/.285/.340	.117	.270	11	31	21%	7%	74	-0.1	.220/.290/.331	.110	.269	10	28	21%	7%	69	-0.3
●Desmond Jennings 2011 · MLB	24	52→59	42→50	63→60	50	.250/.311/.364	.115	.294	7	36	17%	7%	91	+1.1	.251/.323/.394	.143	.301	14	30	20%	9%	104	+2.0	.252/.331/.406	.154	.301	15	28	21%	9%	106	+2.2
✕Roman Quinn 2017 · MLB	24	53→56	41→45	61→65	44	.250/.307/.352	.101	.336	8	37	26%	7%	85	+0.7	.246/.301/.361	.115	.337	8	33	27%	7%	85	+0.7	.250/.306/.384	.134	.340	11	48	28%	7%	90	+0.3
●Julio Borbon 2010 · MLB	24	58→61	39→40	58→60	47	.277/.320/.363	.086	.312	6	34	14%	5%	93	+1.3	.267/.307/.347	.080	.306	5	27	14%	5%	84	+0.6	.278/.311/.346	.068	.324	5	28	15%	4%	82	+0.4
✕Billy Hamilton 2016 · MLB	25	49→59	39→40	69→70	45	.235/.279/.320	.085	.284	6	61	19%	6%	65	-0.7	.243/.297/.327	.084	.304	5	55	20%	7%	74	-0.1	.242/.301/.319	.077	.310	4	55	22%	8%	70	-0.3
✕Garrett Hampson 2019 · MLB	24	54→56	41→45	60	48	.257/.310/.358	.102	.313	7	30	20%	7%	88	+0.9	.233/.287/.346	.113	.302	10	25	25%	7%	76	+0.0	.230/.295/.332	.102	.301	8	22	25%	8%	73	-0.1
✕Delino DeShields 2017 · MLB	24	46→53	41→45	57→65	49	.222/.299/.323	.100	.296	8	32	26%	9%	76	+0.0	.229/.308/.319	.090	.303	7	32	24%	10%	79	+0.3	.226/.309/.316	.089	.304	7	31	25%	10%	75	-0.0
✕Yonny Hernández 2023 · MLB	25	46→56	36→30	61→60	54	.214/.309/.282	.068	.270	3	38	20%	10%	70	-0.3	.223/.307/.293	.070	.287	4	24	21%	10%	72	-0.2	.238/.316/.298	.060	.299	3	17	20%	9%	73	-0.1
●Mallex Smith 2017 · MLB	24	56→61	40→45	65	48	.264/.325/.366	.102	.336	6	45	22%	8%	96	+1.5	.256/.317/.361	.105	.328	6	40	22%	8%	92	+1.2	.251/.317/.357	.105	.322	5	46	22%	8%	87	+0.8
✕Myles Straw 2019 · AAA	24	57→59	35→40	62→60	50	.261/.326/.324	.062	.339	2	35	22%	9%	85	+0.7	.255/.323/.321	.066	.329	2	34	21%	9%	84	+0.6	.249/.324/.312	.063	.307	2	27	18%	10%	80	+0.3
✕Brent Lillibridge 2008 · AAA	24	50→53	45→50	58→60	44	.244/.301/.367	.123	.310	12	30	25%	7%	88	+0.9	.218/.274/.322	.104	.289	8	28	26%	6%	65	-0.7	.220/.279/.344	.124	.299	15	36	30%	6%	69	-0.2
✕José Peraza 2018 · MLB	24	55→64	38→45	56→65	44	.260/.293/.338	.077	.293	6	28	14%	4%	76	+0.0	.263/.304/.365	.102	.292	9	19	13%	4%	88	+0.9	.262/.305/.370	.108	.288	9	16	13%	4%	85	+0.5
✕Everth Cabrera 2011 · MLB	24	50→59	39→40	59→65	48	.235/.302/.327	.092	.303	5	31	23%	8%	77	+0.1	.246/.312/.331	.085	.317	4	41	22%	8%	82	+0.5	.260/.326/.339	.079	.330	3	54	20%	8%	86	+0.5
✕Max Schuemann 2022 · AAA	25	44→47	40→45	58→60	44	.213/.287/.306	.094	.282	7	30	26%	7%	67	-0.5	.222/.313/.336	.114	.305	11	25	28%	9%	86	+0.8	.220/.319/.329	.110	.303	11	22	28%	10%	85	+0.5
★Jean Segura 2014 · MLB	24	56→64	42→50	60	44	.271/.309/.378	.107	.310	9	34	16%	5%	93	+1.3	.265/.304/.371	.106	.301	9	27	15%	4%	89	+0.9	.304/.351/.439	.135	.338	12	24	13%	6%	123	+3.5
✕Eric Young Jr. 2010 · MLB	25	54→60	40→45	64→65	47	.254/.316/.355	.101	.315	6	44	21%	7%	90	+1.0	.253/.323/.339	.086	.316	5	42	20%	8%	89	+1.0	.265/.336/.357	.092	.321	3	47	17%	9%	97	+1.1
✕Eric Farris 2011 · AAA	25	52→58	38→40	59→60	44	.248/.279/.327	.079	.277	6	31	13%	4%	66	-0.6	.239/.275/.316	.077	.273	6	25	14%	4%	63	-0.9	.237/.274/.306	.069	.271	5	26	14%	4%	57	-1.1
●Michael Bourn 2009 · MLB	26	50→60	39→45	66→65	48	.240/.298/.329	.089	.301	6	42	22%	8%	76	+0.0	.265/.330/.353	.088	.335	4	47	20%	9%	95	+1.4	.276/.342/.360	.084	.347	2	52	19%	9%	96	+1.6
✕Johneshwy Fargas 2021 · AA	26	46→49	41→45	59→65	41	.224/.281/.320	.096	.289	10	41	25%	5%	67	-0.5	.211/.266/.327	.116	.288	12	34	30%	5%	63	-0.8	.196/.253/.315	.120	.265	14	44	31%	5%	52	-0.7
✕Alen Hanson 2018 · MLB	25	48→51	43→50	60	42	.235/.272/.350	.115	.283	9	31	21%	5%	69	-0.4	.232/.270/.366	.134	.286	13	20	23%	5%	74	-0.1	.230/.269/.366	.136	.286	12	18	24%	4%	70	-0.2

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)