Luisangel Acuña

CF Chicago White Sox

Age 25 R/R 5'7" / 181 lbs MLB HR +4% Svc 1.907 · Ctrl thru 2031

Overview

MLB40-MANPre-ArbFA 2032

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	22	AAA/INTL2 orgs	706	.270/.321/.377	10	58	80	—	.245/.281/.330
2024	22	MLBNYM	40	.308/.325/.641	3	0	172	1.5
2025	23	AAA/INTL2 orgs	296	.291/.384/.474	8	20	135	—	.295/.331/.366
2025	23	MLBNYM	193	.234/.295/.274	0	16	67	0.2
2026	24	MLBCWS	224	.229/.264/.276	2	18	50	-0.9
2027PROJ	25	MLBCWS	223	.254/.303/.365	5	16	87	0.3
2028PROJ82% MLB	26	MLBCWS	232	.253/.303/.365	5	17	87	0.3
2029PROJ82% MLB	27	MLBCWS	244	.252/.302/.362	5	17	86	0.3

Last 3 seasons WAR 0.7 · Next 3 projected WAR 0.9Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2031Service1.907First FA2032

2027Pre-Arb$0.8M2028Pre-Arb$0.8M2029Arb-1$2M2030Arb-2$2M2031Arb-3$2M

Skills · percentileStatcast 2024-2026

Speed90

Bat Spd59

Avg EV41

xwOBA20

Barrel%10

CompsVidal Bruján (age 24) · Johan Rojas (age 23) · Jacob Young (age 25)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†vL 8987vR 80

AVG/OBP/SLG.254 / .303 / .365

PA223

HR5

SB16

K%20

BB%6

BABIP298

ISO117

MLB%100%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control+$4M ctrl surplus

Tools · Splits · ContractCON 50 / POW 35

Toolsscout grade · Statcast %ile · 2024-2026

CONTACT50

xAVG

400.243

POWER35

Barrel%

103.1

Avg EV

4188.5

Bat Spd

5972.3

EYE45

scouting grade only

SPEED60

Sprint

9029.8

Platoon Splits2024-2026 · 290 PA

vs LHP

vs RHP

Edge

202

—

wRC+

▶▶R

wOBA

236

260

▶R

ISO

039

047

▶▶R

BABIP

273

280

—

20.5%

16.3%

▶▶R

BB%

6.8%

5.9%

◀L

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

Status Pre-Arb

MLB Debut 2024

Service 1.907 yrs.days

Team Control Through 2031

First FA Year 2032

Year	Status	Salary	Proj WAR	Value	Surplus
2027	Pre-Arb	$0.8M	+0.6	$2M	+$2M
2028	Pre-Arb	$0.8M	+0.3	$1M	+$0.4M
2029	Arb-1	$2M	+0.3	$1M	+$0.0M (cut)
2030	Arb-2	$2M	+0.1	$0.3M	+$0.0M (cut)
2031	Arb-3	$2M	—	—	—
Totals		$2M		$5M	+$2M

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. 2027 = full-season projection (no games played yet). 2028+ 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)
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	65	—	—	—	—	—	—
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	72	—	—	—	—	—	—
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	61	—	—	—	—	—	—
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	98	—	—	—	—	—	—
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	—	—	—	—	—	—
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	99	—	—	—	—	—	—
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	172	+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	97	299	16	5	292	65	—	—	—	—	—	—
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	156	—	—	—	—	—	—
2025	23	MLB	New York Mets	—	193	175	41	7	0	0	13	37	2	16	1	234	295	274	569	40	295	19	7	261	67	-8	+3	+1	+2	+4	0.2
2025	23	AAA	Syracuse Mets	—	122	109	33	7	1	0	9	19	0	8	2	303	356	385	741	83	355	16	7	324	99	—	—	—	—	—	—
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	161	—	—	—	—	—	—
2026	24	MLB	Chicago White Sox	—	224	210	48	4	0	2	9	44	1	18	6	229	264	276	540	48	277	20	4	243	50	-13	+1	-3	+1	+5	-0.9
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	457	424	101	13	1	5	23	87	3	34	8	238	282	309	591	71	287	19	5	265	66	-19	+4	+1	+11	+10	0.6
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2019	17	ROK MLE	DSL Rangers 1	—	240	212	46	7	2	1	24	32	2	17	6	217	303	283	586	66	244	13	10	264	65	—	—	—	—	—	—
2021	19	A MLE	Down East Wood Ducks	—	473	428	97	12	3	10	34	147	4	44	11	227	290	339	628	112	305	31	7	275	72	—	—	—	—	—	—
2022	20	AA MLE	Frisco RoughRiders	—	169	157	33	5	2	3	12	43	0	12	3	210	266	325	591	115	272	25	7	259	61	—	—	—	—	—	—
2022	20	A+ MLE	Hickory Crawdads	—	240	217	56	9	0	6	22	78	1	28	6	258	329	382	712	124	374	32	9	313	98	—	—	—	—	—	—
2023	21	AA MLE	Binghamton Rumble Ponies	—	569	524	150	25	2	8	38	129	2	57	10	286	337	387	724	101	356	23	7	314	99	—	—	—	—	—	—
2024	22	MLB MLE	New York Mets	—	40	39	12	2	1	3	1	6	0	0	1	308	325	641	966	333	300	15	2	423	172	+3	-0	+2	+8	+1	1.5
2024	22	AAA MLE	Syracuse Mets	—	587	554	136	18	7	5	25	119	2	40	14	245	281	330	611	85	298	20	4	265	65	—	—	—	—	—	—
2025	23	MLB MLE	New York Mets	—	193	175	42	7	0	0	13	37	2	16	1	240	300	280	580	40	295	19	7	268	67	-8	+3	+1	+2	+4	0.2
2025	23	AAA MLE	Syracuse Mets	—	122	112	33	6	1	0	6	23	0	8	2	295	331	366	697	71	356	19	5	314	99	—	—	—	—	—	—
2026	24	MLB MLE	Chicago White Sox	—	224	210	48	4	0	2	9	44	1	18	6	229	264	276	540	48	277	20	4	242	50	-13	+1	-3	+1	+5	-0.9
2019	17	ROK MLE	DSL Rangers 1	—	240	212	46	7	2	1	24	32	2	17	6	217	303	283	586	66	249	13	10	264	65	—	—	—	—	—	—
2019	17	ROK RAW	DSL Rangers 1	—	240	202	69	11	3	2	34	26	2	17	6	342	441	455	897	114	381	11	14	401	65	—	—	—	—	—	—
2021	19	A MLE	Down East Wood Ducks	—	473	428	97	12	3	10	34	147	4	44	11	227	290	339	628	112	313	31	7	275	72	—	—	—	—	—	—
2021	19	A RAW	Down East Wood Ducks	—	473	413	110	15	3	12	49	110	4	44	11	266	350	404	754	138	329	23	10	335	72	—	—	—	—	—	—
2022	20	A+ MLE	3 teams	—	499	455	109	17	3	11	41	148	3	48	11	240	307	363	669	123	331	30	8	291	83	—	—	—	—	—	—
2022	20	A+ RAW	3 teams	—	499	437	118	18	3	13	59	116	3	48	11	270	361	414	775	144	341	23	12	349	83	—	—	—	—	—	—
2023	21	AA MLE	Binghamton Rumble Ponies	—	569	524	150	25	2	8	38	129	2	57	10	286	337	387	724	101	363	23	7	314	99	—	—	—	—	—	—
2023	21	AA RAW	Binghamton Rumble Ponies	—	569	510	150	28	2	9	52	106	2	57	10	294	362	410	772	116	353	19	9	345	99	—	—	—	—	—	—
2024	22	AAA MLE	3 teams	—	746	700	176	24	9	9	31	149	6	58	16	251	289	350	639	99	305	20	4	275	72	—	—	—	—	—	—
2024	22	AAA RAW	3 teams	—	746	687	187	27	8	13	44	120	6	58	16	272	322	392	713	119	311	16	6	316	72	—	—	—	—	—	—
2025	23	MLB MLE	3 teams	—	489	444	118	21	2	0	30	94	5	36	7	266	319	322	641	56	331	19	6	286	79	-12	+4	+1	+2	+11	0.5
2025	23	MLB RAW	3 teams	—	489	426	114	21	4	8	48	89	5	36	7	268	349	392	741	124	315	18	10	328	79	-12	+4	+1	+2	+11	0.5
2026	24	MLB MLE	Chicago White Sox	—	224	210	48	4	0	2	9	44	1	18	6	229	264	276	540	48	277	20	4	242	50	-13	+1	-3	+1	+5	-0.9
2026	24	MLB RAW	Chicago White Sox	—	224	210	48	4	0	2	9	44	1	18	6	229	264	276	540	48	277	20	4	243	50	-13	+1	-3	+1	+5	-0.9
2019	17	ROK MLE	DSL Rangers 1	—	240	212	46	7	2	1	24	32	2	17	6	217	303	283	586	66	244	13	10	264	65	—	—	—	—	—	—
2021	19	A MLE	Down East Wood Ducks	—	473	432	97	12	3	10	34	147	4	44	11	225	290	336	625	111	305	31	7	275	72	—	—	—	—	—	—
2022	20	A+ MLE	3 teams	—	499	452	109	17	3	11	41	148	3	48	11	241	307	365	672	124	332	30	8	291	83	—	—	—	—	—	—
2023	21	AA MLE	Binghamton Rumble Ponies	—	569	524	150	25	2	8	38	129	2	57	10	286	337	387	724	101	356	23	7	314	99	—	—	—	—	—	—
2024	22	AAA MLE	3 teams	—	746	703	176	24	9	9	31	149	6	58	16	250	289	349	638	98	298	20	4	275	72	—	—	—	—	—	—
2025	23	MLB MLE	3 teams	—	489	451	118	21	2	0	30	94	5	36	7	262	319	317	636	55	319	19	6	286	79	—	—	—	—	—	—
2026	24	MLB MLE	Chicago White Sox	—	224	212	48	4	0	2	9	44	1	18	6	226	264	274	537	47	277	20	4	242	50	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	22	AAA MLE	3 teams	—	746	703	176	24	9	9	31	149	6	58	16	250	289	349	638	98	298	20	4	275	72	—	—	—	—	—	—
2025	23	MLB MLE	3 teams	—	489	451	118	21	2	0	30	94	5	36	7	262	319	317	636	55	319	19	6	286	79	—	—	—	—	—	—
2026	24	MLB MLE	Chicago White Sox	—	224	212	48	4	0	2	9	44	1	18	6	226	264	274	537	47	277	20	4	242	50	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	25	MLB MLE	CWS	100%	334	309	78	11	1	7	20	66	2	24	4	253	302	363	665	110	298	20	6	297	87	-5	+3	-2	+1	+7	0.6
▸ 2027 — real world (MLB)
2027	25	MLB CTX	CWS	100%	223	206	53	7	1	5	13	44	2	16	3	254	303	365	668	111	298	20	6	299	87	-3	+2	-2	+1	+5	0.3
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	26	MLB MLE	CWS	82%	283	262	66	9	1	6	17	56	2	20	3	253	302	362	665	110	297	20	6	297	87	-4	+3	-2	+1	+6	0.4
2029	27	MLB MLE	CWS	82%	297	275	69	9	1	6	18	59	2	21	3	252	301	360	661	108	297	20	6	296	86	-5	+3	-2	+1	+6	0.4
2030	28	MLB MLE	CWS	82%	305	282	70	9	1	6	18	61	2	20	3	250	299	355	654	105	296	20	6	293	84	-6	+3	-3	+1	+7	0.2
2031	29	MLB MLE	CWS	82%	298	277	69	9	1	6	17	60	2	17	3	247	296	349	645	102	295	20	6	289	82	-6	+2	-3	+1	+6	-0.0
2032	30	MLB MLE	CWS	82%	294	273	67	9	1	5	17	61	2	14	2	244	293	341	634	97	293	21	6	284	79	-7	+2	-4	+1	+6	-0.2
2028	26	MLB CTX	CWS	82%	232	214	54	7	1	5	14	46	2	17	3	253	303	365	668	111	298	20	6	298	87	-4	+2	-2	+1	+5	0.3
2029	27	MLB CTX	CWS	82%	244	226	57	8	1	5	14	48	2	17	3	252	302	362	664	110	297	20	6	297	86	-4	+2	-2	+1	+5	0.3
2030	28	MLB CTX	CWS	82%	250	231	58	8	1	5	15	50	2	16	3	250	300	357	657	107	296	20	6	294	84	-5	+2	-2	+1	+5	0.1
2031	29	MLB CTX	CWS	82%	244	227	56	7	1	5	14	50	1	14	2	248	297	351	648	103	295	20	6	290	82	-5	+2	-3	+1	+5	0.0
2032	30	MLB CTX	CWS	82%	241	224	54	7	1	4	14	50	1	12	2	245	293	343	636	98	293	21	6	285	79	-6	+2	-3	+1	+5	-0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1668	1546	380	50	6	29	94	331	11	110	21	246	294	342	636	96	294	20	6	285	80	-42	+14	-11	+15	+36	1.1
/ 162G	—	A+C		—	650	602	147	19	2	11	37	129	4	43	8	244	292	337	630	93	292	20	6	285	80	-16	+5	-4	+6	+14	0.4
Career	—	MLE		—	4940	4548	1138	162	27	75	307	1084	35	386	84	250	303	347	650	97	311	22	6	286	80	-51	+18	-15	+17	+47	1.6
/ 162G	—	MLE		—	650	598	150	21	4	10	40	143	5	51	11	251	303	349	652	99	312	22	6	286	80	-15	+6	-5	+5	+14	0.5

How the minor-league lines were translated

One row per minor-league stint. Open a row to see each step: the raw rate, the park adjustment, the league/level factor, the age adjustment (hitters) and the resulting MLE rate. Factors are the same ones listed on the MLE Factors page.

2025 AAASyracuse Mets · 122 PAwOBA .323 → .314 (−9)K% 15.6% → 19.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.57%	÷0.981	×1.200	—	—	19.05%
BB% (unintentional) /PA	7.38%	÷1.005	×0.690	—	×1.050	5.32%
HBP% /PA	0.00%	—	×0.940	—	×1.050	0.00%
Singles /BIP	27.78%	÷0.975	×0.930	×1.032	×1.050	28.69%
Doubles /BIP	7.78%	÷1.022	×0.830	×1.032	×1.050	6.84%
Triples /BIP	1.11%	÷0.959	×0.970	×1.032	×1.050	1.22%
Home runs /BIP	0.00%	÷1.167	×0.700	—	×1.050	0.00%

Factors used: league row International League. Park (home-season share, regressed): HR 133, 1B 95, 2B 104, 3B 92, K 96, BB 101 — applied at half strength. Age: age 23 vs a level average of 27.2 → +5.0% on BB/HBP/hit rates (4.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.032.

Result: wOBA .323 → .314; ISO .083 → .079; BABIP .355 → .356. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2024 AAASyracuse Mets · 587 PAwOBA .286 → .265 (−21)K% 16.4% → 20.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.35%	÷0.968	×1.200	—	—	20.28%
BB% (unintentional) /PA	5.45%	÷0.933	×0.690	—	×1.050	4.23%
HBP% /PA	0.34%	—	×0.940	—	×1.050	0.34%
Singles /BIP	23.95%	÷1.006	×0.930	×1.034	×1.050	24.04%
Doubles /BIP	4.43%	÷0.972	×0.830	×1.034	×1.050	4.11%
Triples /BIP	1.33%	÷0.900	×0.970	×1.034	×1.050	1.56%
Home runs /BIP	1.55%	÷1.059	×0.700	—	×1.050	1.08%

Factors used: league row International League. Park (home-season share, regressed): HR 112, 1B 101, 2B 94, 3B 80, K 94, BB 87 — applied at half strength. Age: age 22 vs a level average of 27.2 → +5.0% on BB/HBP/hit rates (5.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.034.

Result: wOBA .286 → .265; ISO .097 → .084; BABIP .299 → .298. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2023 AABinghamton Rumble Ponies · 569 PAwOBA .338 → .314 (−24)K% 18.6% → 22.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.63%	÷1.002	×1.220	—	—	22.69%
BB% (unintentional) /PA	9.14%	÷1.015	×0.700	—	×1.050	6.62%
HBP% /PA	0.35%	—	×0.850	—	×1.050	0.31%
Singles /BIP	27.48%	÷0.993	×0.970	×1.016	×1.050	28.63%
Doubles /BIP	6.93%	÷1.032	×0.860	×1.016	×1.050	6.17%
Triples /BIP	0.50%	÷1.150	×0.950	×1.016	×1.050	0.44%
Home runs /BIP	2.23%	÷0.925	×0.780	—	×1.050	1.97%

Factors used: league row EL. Park (home-season share, regressed): HR 85, 1B 99, 2B 106, 3B 130, K 100, BB 103 — applied at half strength. Age: age 21 vs a level average of 24.8 → +5.0% on BB/HBP/hit rates (3.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.016.

Result: wOBA .338 → .314; ISO .116 → .102; BABIP .353 → .356. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2022 A+Hickory Crawdads · 240 PAwOBA .392 → .313 (−79)K% 25.0% → 32.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.00%	÷1.007	×1.310	—	—	32.54%
BB% (unintentional) /PA	14.17%	÷0.985	×0.600	—	×1.042	8.99%
HBP% /PA	0.42%	—	×0.770	—	×1.042	0.33%
Singles /BIP	32.41%	÷1.039	×0.870	×1.043	×1.042	29.50%
Doubles /BIP	6.90%	÷0.939	×0.780	×1.043	×1.042	6.23%
Triples /BIP	0.00%	÷0.984	×0.850	×1.043	×1.042	0.00%
Home runs /BIP	5.52%	÷1.123	×0.880	—	×1.042	4.50%

Factors used: league row South Atlantic League. Park (home-season share, regressed): HR 125, 1B 108, 2B 88, 3B 97, K 101, BB 97 — applied at half strength. Age: age 20 vs a level average of 22.8 → +4.2% on BB/HBP/hit rates (2.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.043.

Result: wOBA .392 → .313; ISO .166 → .134; BABIP .416 → .374. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2022 AAFrisco RoughRiders · 169 PAwOBA .288 → .259 (−28)K% 21.3% → 25.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.30%	÷1.010	×1.220	—	—	25.74%
BB% (unintentional) /PA	10.06%	÷1.012	×0.700	—	×1.050	7.31%
HBP% /PA	0.00%	—	×0.870	—	×1.050	0.00%
Singles /BIP	19.83%	÷1.003	×0.920	×1.045	×1.050	19.95%
Doubles /BIP	5.17%	÷1.030	×0.840	×1.045	×1.050	4.63%
Triples /BIP	1.72%	÷0.900	×0.940	×1.045	×1.050	1.98%
Home runs /BIP	2.59%	÷0.915	×0.800	—	×1.050	2.38%

Factors used: league row TL. Park (home-season share, regressed): HR 83, 1B 101, 2B 106, 3B 80, K 102, BB 102 — applied at half strength. Age: age 20 vs a level average of 24.8 → +5.0% on BB/HBP/hit rates (4.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.045.

Result: wOBA .288 → .259; ISO .125 → .117; BABIP .274 → .272. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2021 ADown East Wood Ducks · 473 PAwOBA .332 → .275 (−57)K% 23.3% → 31.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.26%	÷1.017	×1.360	—	—	31.10%
BB% (unintentional) /PA	10.36%	÷1.050	×0.690	—	×1.045	7.11%
HBP% /PA	0.85%	—	×0.780	—	×1.045	0.69%
Singles /BIP	26.40%	÷1.020	×0.920	×1.006	×1.045	25.03%
Doubles /BIP	4.95%	÷1.006	×0.830	×1.006	×1.045	4.29%
Triples /BIP	0.99%	÷1.069	×0.910	×1.006	×1.045	0.89%
Home runs /BIP	3.96%	÷0.996	×0.800	—	×1.045	3.33%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 99, 1B 104, 2B 101, 3B 114, K 103, BB 110 — applied at half strength. Age: age 19 vs a level average of 22.0 → +4.5% on BB/HBP/hit rates (3.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.006.

Result: wOBA .332 → .275; ISO .138 → .112; BABIP .329 → .305. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2019 DSLDSL Rangers 1 · 240 PAwOBA .395 → .264 (−131)K% 10.8% → 13.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	10.83%	÷1.000	×1.220	—	—	13.22%
BB% (unintentional) /PA	14.17%	÷1.000	×0.700	—	×1.022	10.14%
HBP% /PA	0.83%	—	×0.700	—	×1.022	0.60%
Singles /BIP	30.11%	÷1.000	×0.680	×0.950	×1.022	19.89%
Doubles /BIP	6.25%	÷1.000	×0.600	×0.950	×1.022	3.64%
Triples /BIP	1.70%	÷1.000	×0.600	×0.950	×1.022	0.99%
Home runs /BIP	1.14%	÷1.000	×0.470	—	×1.022	0.55%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 17 vs a level average of 18.5 → +2.2% on BB/HBP/hit rates (1.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .395 → .264; ISO .114 → .066; BABIP .381 → .244. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

Not traceable per stint: some stints lack the counting stats the component translation needs. Level-wide factors that apply instead — .

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Delino DeShieldslast yr '21 career totals — 7 seasons, 2,114 PA	3.2	2,114	19	111	246	327	342	+1	+6	5.3	5.3
/162	664	6	35	+0.4	+1.8	1.7	pk7: 5
#2Garrett Hampsonlast yr '25 career totals — 7 seasons, 1,805 PA	2.7	1,805	29	65	234	296	352	+10	+10	3.9	3.9
/162	664	11	24	+3.6	+3.7	1.4	pk7: 4
#3Luis Matos'00-'06 * career totals — 6 seasons, 1,773 PA	2.7	1,773	30	72	245*	304*	365*	+1	+10	3.2	3.2
/162	664	11	27	+0.3	+3.9	1.2	pk7: 3
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 7 projected seasons	2.8	1,851	31	126	246	291	338	+7	+3	2.6	2.9
/162	664	11	45	+2.4	+1.1	0.9	pk7: 3
#4Chuck Carr'90-'97 * career totals — 6 seasons, 1,914 PA	2.9	1,914	13	144	242*	306*	331*	+6	+20	2.6	2.6
/162	664	5	50	+2.1	+7.1	0.9	pk7: 3
#5Ed Stroud'66-'71 * career totals — 5 seasons, 1,500 PA	2.3	1,500	14	72	245*	312*	375*	-6	-0	2.5	2.5
/162	664	6	32	-2.7	-0.2	1.1	pk7: 2
#6Tom Goodwin'91-'04 * career totals — 11 seasons, 4,315 PA	6.5	4,315	24	369	255*	316*	327*	-0	-2	0.9	2.2
/162	664	4	57	-0.0	-0.3	0.1	pk7: 3

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)	25	50	35	60	45	251/300/360	109	298	5	16	20%	6%	87	+0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Vidal Bruján 2022 · MLB	24	47→57	43→45	61→65	49	229/286/346	117	269	10	41	19%	7%	78	-0.3	226/289/341	115	276	10	30	21%	7%	79	-0.2	228/301/339	111	280	8	25	20%	8%	81	-0.0
✕Johan Rojas 2024 · MLB	23	51→60	43→45	64→65	42	246/291/366	120	307	9	37	23%	5%	84	+0.2	245/288/337	92	309	6	34	22%	5%	76	-0.4	243/284/316	73	306	4	40	21%	5%	69	-0.6
✕Jacob Young 2024 · MLB	25	52→57	38→40	63→60	47	247/306/329	82	304	4	33	20%	6%	82	-0.0	245/305/331	86	299	6	29	19%	7%	82	-0.0	242/306/331	89	291	7	29	18%	7%	83	+0.1
✕Delino DeShields 2018 · MLB	25	51→56	41→45	57→65	50	242/318/339	97	320	8	32	25%	10%	89	+0.5	230/309/319	89	301	7	30	24%	10%	81	-0.1	225/308/314	88	303	6	31	25%	10%	77	-0.2
✕Samad Taylor 2024 · MLB	26	51→61	45→50	63→65	49	246/323/375	129	330	12	43	28%	9%	99	+1.3	248/315/357	109	335	9	36	26%	8%	92	+0.7	253/319/358	105	339	9	36	26%	8%	90	+0.6
✕Bubba Thompson 2024 · MLB	26	52→59	44→50	65	39	248/295/367	120	337	11	43	29%	5%	86	+0.3	216/259/305	89	318	7	31	33%	5%	59	-1.7	186/210/227	40	296	2	37	36%	3%	17	-2.1
✕Todd Donovan 2006 · AAA	27	51→52	41→40	65	44	242/300/346	104	300	7	42	21%	6%	84	+0.1	234/291/315	81	290	5	39	20%	6%	72	-0.7	227/296/290	63	286	3	43	20%	8%	67	-0.7
✕Tyler Graham 2011 · AAA	27	56→54	39→40	58→65	42	265/308/351	86	332	7	38	22%	5%	87	+0.4	241/297/317	76	308	4	41	22%	6%	76	-0.4	229/279/281	52	288	2	48	20%	5%	57	-1.0
✕Max Schuemann 2022 · AAA	25	46→51	40→45	59→60	44	218/293/312	94	290	7	32	26%	7%	74	-0.5	228/318/339	111	308	10	25	27%	9%	90	+0.6	225/322/333	108	305	10	22	27%	10%	89	+0.4
●Mallex Smith 2018 · MLB	25	55→64	40→45	63→65	47	260/315/363	103	330	6	39	22%	7%	93	+0.8	254/320/363	109	325	6	40	22%	8%	95	+0.9	253/324/359	106	326	5	47	22%	8%	95	+0.7
✕Yonny Hernández 2023 · MLB	25	49→59	36→30	63→60	55	227/321/300	73	284	3	39	19%	10%	82	-0.0	235/317/307	72	298	4	22	20%	10%	82	-0.0	266/328/324	58	317	2	17	16%	7%	85	+0.1
✕Ryan Bliss 2024 · AAA	24	45→51	46→50	59→60	44	224/286/356	132	289	12	32	26%	7%	81	-0.1	231/299/360	129	304	11	38	26%	8%	87	+0.4	223/291/342	119	294	9	40	25%	7%	79	-0.2
✕José Caballero 2024 · MLB	27	47→45	44→45	63→70	57	228/349/346	118	284	11	43	22%	12%	104	+1.6	229/307/349	120	299	12	51	26%	8%	88	+0.4	225/297/344	119	294	12	58	26%	8%	84	+0.1
✕Eric Young Jr. 2010 · MLB	25	56→60	40→45	64→65	49	263/328/367	103	324	6	44	20%	7%	99	+1.2	258/329/349	91	321	5	42	19%	9%	95	+1.0	267/337/363	96	323	3	47	17%	9%	101	+1.0
✕Garrett Hampson 2020 · MLB	25	51→57	42→45	59→60	46	247/299/357	111	310	9	28	23%	7%	86	+0.3	224/280/343	119	294	11	22	26%	7%	76	-0.4	237/300/344	108	310	8	22	25%	8%	84	+0.1
✕Roman Quinn 2017 · MLB	24	55→57	41→45	62→65	44	260/316/363	104	344	7	38	26%	7%	93	+0.8	250/305/368	118	341	9	33	27%	7%	90	+0.6	252/309/383	131	345	10	39	28%	7%	93	+0.3
✕Billy Hamilton 2016 · MLB	25	49→59	39→40	69→70	46	233/278/318	85	279	6	61	19%	6%	68	-1.0	242/297/329	87	304	5	55	20%	7%	78	-0.3	242/301/327	85	311	4	55	22%	8%	78	-0.2
✕Myles Straw 2020 · MLB	25	57→60	35→40	63→60	52	263/331/325	63	335	2	37	21%	9%	90	+0.6	250/319/321	71	315	3	28	20%	9%	84	+0.2	240/313/303	63	295	2	24	17%	9%	79	-0.2
●Esteury Ruiz 2024 · MLB	25	53→60	45→50	69→70	45	258/325/385	126	317	11	65	22%	6%	103	+1.5	257/331/402	145	324	14	59	24%	8%	109	+2.0	253/341/414	160	331	16	67	26%	9%	113	+1.2
✕Dru Baker 2024 · AA	24	50→57	45→40	63→60	41	240/298/365	124	331	13	32	30%	6%	88	+0.4	237/286/315	78	336	6	30	29%	5%	71	-0.8	235/283/299	64	337	4	32	30%	5%	63	-0.9

Luisangel Acuña

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps