Liberts Aponte

SS DSL Reds

Age 19 R/R 6'0" / 160 lbs ROK HR +16%BB +6% Svc 0.0 · Ctrl thru 2036

Overview

ROKPROSPECTMiLBFA 2037

OGV OFP35OGV rank#463ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2025	17	ROKDSL Rojos	193	.247/.380/.461	7	9	49	—	.160/.267/.282
2026	18	ROKCIN	150	.351/.507/.514	2	11	94	—	.225/.363/.317
2027PROJMLE	19	MLBCIN	260	.212/.289/.308	3	5	71	0.1
2028PROJ34% MLB	20	MLBCIN	45	.218/.296/.325	1	1	75	0.0
2029PROJ48% MLB	21	MLBCIN	112	.221/.300/.336	2	3	79	0.1

Next 3 projected WAR 0.3Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2036Service0.0First FA2037

2027MiLB2028MiLB2029MiLB2030MiLB2031Pre-Arb$0.9M2032Pre-Arb$0.9M2033Pre-Arb$0.9M2034Arb-1$4M+2

Skills · percentileMiLB Statcast 2026 Rk

wOBA95

wRC+93

Chase%82

Z-Con%82

BB%80

Whiff%76

Career WAR0.0 WAR median (P10 0.0 / P90 0.0, comp-based) · star 1% · didn't stick 96%

CompsMiguel Palma (age 19) · Andrés Nolaya (age 19) · Jett Williams (age 19)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 78 proj PA

wRC+†71

AVG/OBP/SLG.210 / .287 / .305

PA78

HR1

K%25

BB%9

ISO96

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$17M ctrl surplus

Contract

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
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	Pre-Arb	$0.9M	+0.5	$1M	+$0.9M
2032	Pre-Arb	$0.9M	+0.7	$2M	+$1M
2033	Pre-Arb	$0.9M	+0.8	$2M	+$2M
2034	Arb-1	$4M	+0.8	$2M	+$0.2M
2035	Arb-2	$6M	+0.7	$2M	+$0.0M (cut)
2036	Arb-3	$7M	+0.6	$1M	+$0.0M (cut)
Totals		$6M		$10M	+$4M

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)
2025	17	ROK	DSL Rojos	—	193	154	38	6	3	7	29	35	4	9	0	247	380	461	841	214	263	18	15	364	49	—	—	—	—	—	—
2026	18	ROK	DSL Reds	—	150	111	39	6	3	2	30	25	5	11	4	351	507	514	1.020	162	420	17	20	444	94	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	17	ROK MLE	DSL Rojos	—	193	163	26	4	2	4	20	43	4	9	0	160	267	282	550	123	168	22	10	241	49	—	—	—	—	—	—
2026	18	ROK MLE	DSL Reds	—	150	120	27	4	2	1	21	30	5	11	4	225	363	317	680	92	268	20	14	307	94	—	—	—	—	—	—
2025	17	ROK MLE	DSL Rojos	—	193	163	26	4	2	4	20	43	4	9	0	160	267	282	550	123	180	22	10	241	49	—	—	—	—	—	—
2025	17	ROK RAW	DSL Rojos	—	193	154	38	6	3	7	29	35	4	9	0	247	380	461	841	214	263	18	15	364	49	—	—	—	—	—	—
2026	18	ROK MLE	DSL Reds	—	150	120	27	4	2	1	21	30	5	11	4	225	363	317	680	92	280	20	14	307	94	—	—	—	—	—	—
2026	18	ROK RAW	DSL Reds	—	150	111	39	6	3	2	30	25	5	11	4	351	507	514	1.020	162	420	17	20	444	94	—	—	—	—	—	—
2025	17	ROK MLE	DSL Rojos	—	193	167	26	4	2	4	20	43	4	9	0	156	267	275	543	120	168	22	10	241	49	—	—	—	—	—	—
2026	18	ROK MLE	DSL Reds	—	150	123	27	4	2	1	21	30	5	11	4	220	363	309	672	89	268	20	14	307	94	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2025	17	ROK MLE	DSL Rojos	—	193	167	26	4	2	4	20	43	4	9	0	156	267	275	543	120	168	22	10	241	49	—	—	—	—	—	—
2026	18	ROK MLE	DSL Reds	—	150	123	27	4	2	1	21	30	5	11	4	220	363	309	672	89	268	20	14	307	94	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	19	MLB MLE	CIN	0%	260	233	50	8	3	3	22	65	3	5	1	212	289	308	597	96	277	25	8	273	71	-9	+1	+0	+3	+6	0.1
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	20	MLB MLE	CIN	34%	131	117	25	4	1	2	11	32	2	3	1	216	295	320	615	104	279	24	8	280	75	-4	+0	+0	+1	+3	0.1
2029	21	MLB MLE	CIN	48%	231	206	45	7	2	4	20	56	3	5	1	219	298	330	629	111	281	24	9	285	79	-6	+1	+0	+2	+5	0.3
2030	22	MLB MLE	CIN	54%	341	303	67	11	3	6	30	82	5	8	2	222	301	338	640	116	282	24	9	290	82	-7	+1	+1	+4	+7	0.6
2031	23	MLB MLE	CIN	57%	418	373	84	14	4	8	36	100	6	10	3	225	303	345	648	120	283	24	9	293	84	-8	+1	+3	+4	+9	0.9
2032	24	MLB MLE	CIN	57%	467	417	94	16	4	9	41	111	6	11	3	227	305	350	655	123	285	24	9	296	86	-8	+1	+4	+5	+10	1.3
2033	25	MLB MLE	CIN	57%	495	442	100	17	4	10	43	118	7	11	3	227	305	351	656	124	285	24	9	296	86	-8	+1	+4	+5	+11	1.4
2034	26	MLB MLE	CIN	56%	511	454	104	17	5	10	45	122	7	11	3	227	305	351	656	124	284	24	9	296	86	-8	+1	+4	+5	+11	1.4
2035	27	MLB MLE	CIN	55%	515	458	104	17	5	10	45	123	7	11	3	226	304	348	652	122	284	24	9	294	85	-9	+1	+4	+6	+11	1.3
2036	28	MLB MLE	CIN	55%	511	454	102	17	4	10	45	123	7	10	3	224	302	344	646	120	283	24	9	292	84	-10	+1	+4	+5	+11	1.1
2037	29	MLB MLE	CIN	53%	501	447	99	16	4	9	43	122	6	9	3	222	300	338	637	116	282	24	9	288	81	-11	+1	+3	+5	+11	0.9
2038	30	MLB MLE	CIN	53%	489	438	96	16	4	8	42	121	6	9	3	219	296	330	627	111	281	25	9	284	78	-13	+1	+2	+5	+11	0.6
2039	31	MLB MLE	CIN	52%	474	425	91	15	4	7	40	119	6	7	4	215	292	321	613	106	278	25	8	278	75	-14	-0	+1	+5	+10	0.2
2028	20	MLB CTX	CIN	34%	45	40	8	1	0	1	4	11	1	1	0	218	296	325	621	107	280	24	9	282	75	-1	+0	+0	+0	+1	0.0
2029	21	MLB CTX	CIN	48%	112	99	22	3	1	2	10	27	2	3	1	221	300	336	636	115	282	24	9	288	79	-3	+0	+0	+1	+2	0.1
2030	22	MLB CTX	CIN	54%	185	164	37	6	2	3	16	45	3	4	1	224	303	345	648	120	283	24	9	293	82	-4	+0	+1	+2	+4	0.3
2031	23	MLB CTX	CIN	57%	237	211	48	8	2	5	21	57	3	5	1	227	305	352	657	125	284	24	9	296	84	-4	+1	+2	+3	+5	0.5
2032	24	MLB CTX	CIN	57%	264	235	54	9	2	6	23	63	4	6	2	229	307	357	664	128	286	24	9	299	86	-4	+0	+2	+3	+6	0.7
2033	25	MLB CTX	CIN	57%	280	250	57	9	3	6	24	67	4	6	2	229	307	358	665	129	286	24	9	299	86	-5	+0	+2	+3	+6	0.8
2034	26	MLB CTX	CIN	56%	289	258	60	10	3	6	25	69	4	6	2	229	307	358	665	129	285	24	9	299	86	-5	+0	+2	+3	+6	0.8
2035	27	MLB CTX	CIN	55%	286	255	58	9	3	6	25	68	4	6	2	228	306	355	661	127	285	24	9	298	85	-5	+0	+2	+3	+6	0.7
2036	28	MLB CTX	CIN	55%	280	250	56	9	2	6	24	68	4	6	2	226	304	350	654	124	284	24	9	295	84	-5	+0	+2	+3	+6	0.6
2037	29	MLB CTX	CIN	53%	268	240	53	9	2	5	23	65	3	5	2	224	301	344	645	120	283	24	9	292	81	-6	+0	+2	+3	+6	0.5
2038	30	MLB CTX	CIN	53%	257	230	51	8	2	5	22	64	3	5	2	221	298	336	634	116	282	25	9	287	78	-7	+0	+1	+3	+6	0.3
2039	31	MLB CTX	CIN	52%	247	221	48	8	2	4	21	62	3	4	2	217	293	326	620	110	279	25	9	281	75	-7	+0	+1	+3	+5	0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2750	2453	552	89	24	55	238	666	38	57	19	225	303	348	652	123	285	24	9	294	82	-56	+4	+18	+29	+60	5.5
/ 162G	—	A+C		—	650	580	131	21	6	13	56	157	9	13	4	226	304	350	654	124	286	24	9	294	82	-13	+1	+4	+7	+14	1.3
Career	—	MLE		—	5505	4887	1079	177	49	99	489	1321	78	127	36	221	302	338	640	117	280	24	9	289	82	-108	+9	+32	+55	+112	10.1
/ 162G	—	MLE		—	650	577	128	21	6	12	58	156	9	15	4	222	303	341	644	120	281	24	9	289	82	-14	+1	+4	+7	+14	1.3

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.

2026 DSLDSL Reds · 150 PAwOBA .446 → .307 (−139)K% 16.7% → 20.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.67%	÷1.000	×1.220	—	—	20.33%
BB% (unintentional) /PA	20.00%	÷1.000	×0.700	—	×0.995	13.93%
HBP% /PA	3.33%	—	×0.700	—	×0.995	2.32%
Singles /BIP	32.56%	÷1.000	×0.680	×0.977	×0.995	21.53%
Doubles /BIP	6.98%	÷1.000	×0.600	×0.977	×0.995	4.07%
Triples /BIP	3.49%	÷1.000	×0.600	×0.977	×0.995	2.04%
Home runs /BIP	2.33%	÷1.000	×0.470	—	×0.995	1.09%

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 19 vs a level average of 18.5 → −0.5% on BB/HBP/hit rates (0.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.977.

Result: wOBA .446 → .307; ISO .162 → .098; BABIP .420 → .268. 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).

2025 DSLDSL Rojos · 193 PAwOBA .366 → .241 (−125)K% 18.1% → 22.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.13%	÷0.993	×1.220	—	—	22.28%
BB% (unintentional) /PA	15.03%	÷1.011	×0.700	—	×1.008	10.48%
HBP% /PA	2.07%	—	×0.700	—	×1.008	1.46%
Singles /BIP	18.49%	÷0.976	×0.680	×0.978	×1.008	12.69%
Doubles /BIP	5.04%	÷1.013	×0.600	×0.978	×1.008	2.94%
Triples /BIP	2.52%	÷0.978	×0.600	×0.978	×1.008	1.52%
Home runs /BIP	5.88%	÷0.987	×0.470	—	×1.008	2.82%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 97, 1B 95, 2B 103, 3B 96, K 99, BB 102 — applied at half strength. Age: age 18 vs a level average of 18.5 → +0.8% on BB/HBP/hit rates (0.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.978.

Result: wOBA .366 → .241; ISO .214 → .119; BABIP .263 → .168. 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).

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Bobby Crosbylast yr '10 career totals — 7 seasons, 2,832 PA	4.3	2,832	62	34	238	305	374	+28	+33	11.6	11.6
/162	664	15	8	+6.7	+7.7	2.7	pk7: 12
#2Danny Espinosalast yr '17 career totals — 8 seasons, 3,267 PA	4.9	3,267	98	64	221	297	378	+16	+36	11.0	11.4
/162	664	20	13	+3.2	+7.3	2.2	pk7: 12
#3Dick Schofield'83-'96 * career totals — 12 seasons, 4,928 PA	7.4	4,928	56	120	227*	307*	330*	+52	+19	9.4	10.0
/162	664	8	16	+7.1	+2.5	1.3	pk7: 11
#4Cliff Penningtonlast yr '17 career totals — 10 seasons, 3,108 PA	4.7	3,108	36	84	243	310	341	+28	+29	9.2	9.5
/162	664	8	18	+5.9	+6.2	2.0	pk7: 10
#5Jose Uribe'84-'93 * career totals — 9 seasons, 3,369 PA	5.1	3,369	19	74	240*	300*	338*	+36	+27	7.8	7.7
/162	664	4	15	+7.1	+5.3	1.5	pk7: 8
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 7 projected seasons	4.3	2,827	51	59	224	299	342	+30	+32	5.5	4.9
/162	664	12	14	+7.1	+7.5	1.3	pk7: 4
#6Pokey Reese'97-'04 * career totals — 8 seasons, 3,138 PA	4.7	3,138	44	144	238*	292*	339*	+19	+41	4.0	4.7
/162	664	9	30	+4.0	+8.7	0.8	pk7: 5

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
Liberts Aponte (OGILVIE)	19	—	—	—	—	210/287/305	95	277	1	2	25%	9%	71	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Miguel Palma 2021 · A	19	40	39→45	48→40	45	193/281/280	88	261	6	11	27%	7%	63	-1.3	215/293/337	122	281	13	5	27%	8%	80	-0.1	217/284/341	124	274	15	2	26%	7%	76	-0.2
✕Andrés Nolaya 2024 · A	19	39	36→45	47→50	46	183/256/246	64	263	3	12	30%	8%	45	-2.7	196/270/269	73	284	4	17	30%	8%	55	-1.9	201/281/282	81	280	7	21	28%	8%	61	-0.5
✕Jett Williams 2023 · A	19	45→48	41→50	56→55	44	216/287/317	101	287	8	14	26%	7%	73	-0.6	213/317/337	124	303	10	23	29%	12%	90	+0.6	212/316/350	138	296	11	26	29%	12%	89	+0.4
✕Carlos Jimenez 2022 · A	19	36→44	39→50	53→55	48	177/265/262	85	249	7	11	30%	9%	53	-2.1	194/283/299	105	299	9	16	34%	10%	68	-1.0	223/303/376	153	308	17	18	31%	10%	89	+0.4
✕Javier Herrera 2024 · A	19	38	39→40	51→55	45	184/262/268	84	272	6	10	32%	9%	53	-2.1	204/298/290	86	279	5	15	26%	11%	71	-0.8	210/307/297	87	289	5	18	26%	11%	74	-0.2
✕Delino DeShields 2012 · A	19	41→51	40→45	50→65	42	201/260/289	88	279	8	16	30%	6%	56	-1.9	234/302/339	105	318	8	38	27%	8%	83	+0.1	239/313/347	108	322	9	47	26%	8%	87	+0.3
✕Jose Rosario 2011 · A	19	41	38→40	50	42	199/262/275	76	274	5	10	28%	6%	54	-2.0	214/261/320	106	270	10	12	24%	4%	63	-1.3	230/277/334	104	276	9	10	19%	4%	68	-0.4
✕Gilberto Celestino 2018 · A	19	43→53	39→45	53→55	43	206/263/292	86	288	6	12	30%	7%	57	-1.8	220/271/312	92	287	7	10	24%	6%	65	-1.2	239/317/316	76	309	5	10	22%	9%	81	-0.0
✕Yunior Garcia 2019 · A	18	35→45	40→45	52→30	43	176/241/269	92	235	7	10	27%	7%	45	-2.7	192/242/291	99	291	9	7	36%	5%	49	-2.4	228/278/346	118	323	12	2	32%	5%	72	-0.3
✕Tyler Rodriguez 2024 · A	18	41	38→40	49→55	55	196/307/275	79	247	6	14	22%	11%	73	-0.6	208/326/276	68	266	5	17	21%	11%	80	-0.1	203/334/262	59	262	5	20	21%	12%	79	-0.1
✕Jorge Alcantara 2011 · A	19	45	41→45	51→50	43	215/278/316	101	296	7	11	29%	7%	68	-1.0	197/266/293	96	297	7	13	33%	8%	59	-1.6	143/221/238	95	216	5	25	34%	8%	30	-1.0
✕Jacob Amaya 2018 · A	19	44→47	39→45	48→45	46	211/280/295	84	285	6	8	27%	8%	65	-1.2	225/304/318	93	298	6	8	24%	10%	79	-0.2	218/291/330	112	279	11	6	25%	9%	75	-0.4
✕Denzer Guzman 2023 · A	19	38→48	39→45	47→50	43	188/246/273	85	256	6	9	28%	7%	47	-2.6	195/254/294	99	297	8	8	35%	7%	55	-2.0	217/278/341	124	295	14	11	30%	7%	72	-0.6
✕Ronarsy Ledesma 2012 · A	19	40	39→45	46→50	45	192/269/279	87	247	7	7	24%	7%	58	-1.7	210/272/303	93	266	5	11	22%	5%	63	-1.3	210/267/312	102	264	5	11	22%	5%	62	-0.6
✕Jhostynxon Garcia 2022 · A	19	41→44	38→50	47→50	54	193/285/279	86	256	5	8	25%	11%	63	-1.3	188/262/304	116	277	10	9	34%	8%	61	-1.5	226/279/379	153	297	20	9	30%	5%	81	-0.0
✕Eddys Leonard 2019 · A	18	39→47	39→50	48→50	51	188/277/271	84	242	6	14	24%	10%	59	-1.6	207/281/319	112	295	10	8	31%	8%	72	-0.7	227/295/375	148	296	16	4	28%	6%	86	+0.3
✕Aroon Escobar 2024 · A	19	38→46	36→45	51→55	54	178/277/245	67	211	4	16	17%	9%	55	-2.0	218/300/318	100	261	10	17	20%	9%	78	-0.3	224/302/327	104	269	12	19	21%	8%	79	-0.1
✕Jesús Báez 2024 · A	19	35→41	40→55	45	46	177/246/265	88	234	7	9	27%	8%	46	-2.6	218/275/368	150	257	19	8	23%	6%	80	-0.1	226/279/407	181	249	27	8	22%	6%	89	+0.4
✕Juan Villavicencio 2024 · A	19	36→44	38→50	51→55	47	174/251/254	80	234	5	13	26%	8%	45	-2.7	189/262/280	91	279	7	14	32%	8%	55	-1.9	193/266/307	113	285	10	20	34%	8%	61	-0.6
✕Jefferson Rojas 2024 · A	19	45→48	41→50	52→50	43	221/283/322	101	279	9	15	24%	6%	72	-0.7	222/283/337	115	269	12	16	21%	7%	76	-0.4	225/287/358	133	263	15	18	21%	7%	81	-0.1

Liberts Aponte

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps