Luis De Leon

2B ACL Padres

Age 21 S/R 5'8" / 155 lbs ROK HR +5% Svc 0.0 · Ctrl thru 2038

Overview

ROKPROSPECTMiLBFA 2039

OGV OFP35OGV rank#2360ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	18	ROKSD	53	.071/.235/.071	0	2	-45	—	.044/.157/.044
2025	19	ROKSD	243	.293/.419/.359	2	19	65	—	.217/.311/.250
2026	20	ROKSD	210	.268/.400/.339	1	14	52	—	.199/.293/.249
2027PROJMLE	21	MLBSD	320	.201/.280/.270	2	7	59	-0.2
2028PROJ34% MLB	22	MLBSD	53	.204/.283/.285	1	1	65	-0.1
2029PROJ48% MLB	23	MLBSD	116	.208/.287/.300	2	3	70	-0.1

Next 3 projected WAR -0.4Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2038Service0.0First FA2039

2027MiLB2028MiLB2029MiLB2030MiLB2031MiLB2032MiLB2033Pre-Arb$0.9M2034Pre-Arb$1.0M+4

Skills · percentileMiLB Statcast 2026 Rk

Speed69

Z-Con%56

Whiff%49

wRC+46

BB%45

Chase%45

Career WAR0.0 WAR median (P10 0.0 / P90 0.0, comp-based) · star 0% · didn't stick 100%

CompsNoah Miller (age 21) · Candido Pimentel (age 21) · Nasim Nuñez (age 20)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 111 proj PA

wRC+†59

AVG/OBP/SLG.199 / .278 / .268

PA111

HR1

K%28

BB%9

ISO69

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit-$2M ctrl surplus

Tools · ContractCON 45 / POW 20

Toolsscout grade

CONTACT45

scouting grade only

POWER20

scouting grade only

EYE60

scouting grade only

SPEED60

scouting grade only

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

Status MiLB

MLB Debut 2033

Service 0 yrs (est)

Team Control Through 2038

First FA Year 2039

Year	Status	Salary	Proj WAR	Value	Surplus
2027	MiLB	still in minors · estimated debut 2033
2028	MiLB	still in minors · estimated debut 2033
2029	MiLB	still in minors · estimated debut 2033
2030	MiLB	still in minors · estimated debut 2033
2031	MiLB	still in minors · estimated debut 2033
2032	MiLB	still in minors · estimated debut 2033
2033	Pre-Arb	$0.9M	—	—	—
2034	Pre-Arb	$1.0M	—	—	—
2035	Pre-Arb	$1.0M	—	—	—
2036	Arb-1	$0.2M	—	—	—
2037	Ext	beyond projection horizon · no WAR estimate
2038	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$-1M	+$0.0M

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)
2023	17	ROK	DSL Padres Gold	—	191	140	41	4	2	0	46	23	5	19	4	293	482	350	832	57	350	12	24	397	84	—	—	—	—	—	—
2024	18	ROK	ACL Padres	—	53	42	3	0	0	0	8	25	1	2	1	71	235	71	307		176	47	15	170	-45	—	—	—	—	—	—
2025	19	ROK	ACL Padres	—	243	198	58	3	2	2	38	56	5	19	3	293	419	359	778	66	400	23	16	360	65	—	—	—	—	—	—
2026	20	ROK	ACL Padres	—	210	168	45	3	3	1	31	51	6	14	5	268	400	339	739	71	367	24	15	339	52	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2023	17	ROK MLE	DSL Padres Gold	—	191	152	31	3	1	0	34	28	5	19	4	204	366	237	603	33	251	15	18	292	84	—	—	—	—	—	—
2024	18	ROK MLE	ACL Padres	—	53	45	2	0	0	0	5	36	1	2	1	44	157	44	201		146	68	9	102	-45	—	—	—	—	—	—
2025	19	ROK MLE	ACL Padres	—	243	212	46	2	1	1	24	79	5	19	3	217	311	250	561	33	338	33	10	264	65	—	—	—	—	—	—
2026	20	ROK MLE	ACL Padres	—	210	181	36	2	2	1	18	74	6	14	5	199	293	249	541	50	298	35	9	245	52	—	—	—	—	—	—
2023	17	ROK MLE	DSL Padres Gold	—	191	152	31	3	1	0	34	28	5	19	4	204	366	237	603	33	250	15	18	292	84	—	—	—	—	—	—
2023	17	ROK RAW	DSL Padres Gold	—	191	140	41	4	2	0	46	23	5	19	4	293	482	350	832	57	350	12	24	397	84	—	—	—	—	—	—
2024	18	ROK MLE	ACL Padres	—	53	45	2	0	0	0	5	36	1	2	1	44	157	44	201		222	68	9	102	-45	—	—	—	—	—	—
2024	18	ROK RAW	ACL Padres	—	53	42	3	0	0	0	8	25	1	2	1	71	235	71	307		176	47	15	170	-45	—	—	—	—	—	—
2025	19	ROK MLE	ACL Padres	—	243	212	46	2	1	1	24	79	5	19	3	217	311	250	561	33	341	33	10	264	65	—	—	—	—	—	—
2025	19	ROK RAW	ACL Padres	—	243	198	58	3	2	2	38	56	5	19	3	293	419	359	778	66	400	23	16	360	65	—	—	—	—	—	—
2026	20	ROK MLE	ACL Padres	—	210	181	36	2	2	1	18	74	6	14	5	199	293	249	541	50	318	35	9	245	52	—	—	—	—	—	—
2026	20	ROK RAW	ACL Padres	—	210	168	45	3	3	1	31	51	6	14	5	268	400	339	739	71	367	24	15	339	52	—	—	—	—	—	—
2023	17	ROK MLE	DSL Padres Gold	—	191	150	31	3	1	0	34	28	5	19	4	207	366	240	606	33	251	15	18	292	84	—	—	—	—	—	—
2024	18	ROK MLE	ACL Padres	—	53	47	2	0	0	0	5	36	1	2	1	43	157	43	199		146	68	9	102	-45	—	—	—	—	—	—
2025	19	ROK MLE	ACL Padres	—	243	212	46	2	1	1	24	79	5	19	3	217	311	250	561	33	338	33	10	264	65	—	—	—	—	—	—
2026	20	ROK MLE	ACL Padres	—	210	184	36	2	2	1	18	74	6	14	5	196	293	245	537	49	298	35	9	245	52	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	18	ROK MLE	ACL Padres	—	53	47	2	0	0	0	5	36	1	2	1	43	157	43	199		146	68	9	102	-45	—	—	—	—	—	—
2025	19	ROK MLE	ACL Padres	—	243	212	46	2	1	1	24	79	5	19	3	217	311	250	561	33	338	33	10	264	65	—	—	—	—	—	—
2026	20	ROK MLE	ACL Padres	—	210	184	36	2	2	1	18	74	6	14	5	196	293	245	537	49	298	35	9	245	52	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	21	MLB MLE	SD	0%	320	286	57	9	2	2	27	90	4	7	2	201	280	270	550	69	281	28	8	255	59	-16	+1	+0	+1	+7	-0.2
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	22	MLB MLE	SD	34%	154	138	29	5	1	2	13	42	2	4	1	207	286	290	575	83	283	27	8	265	65	-6	+0	+0	+1	+3	-0.2
2029	23	MLB MLE	SD	48%	239	213	45	7	2	3	21	65	3	6	1	212	290	305	595	93	285	27	9	272	70	-8	+1	+0	+1	+5	-0.2
2030	24	MLB MLE	SD	53%	323	288	62	10	2	5	28	86	4	8	2	215	293	316	610	101	286	27	9	278	74	-10	+1	+0	+1	+7	-0.1
2031	25	MLB MLE	SD	55%	372	332	72	12	2	6	32	99	5	9	2	218	296	324	620	106	286	27	9	282	77	-10	+1	+0	+1	+8	0.0
2032	26	MLB MLE	SD	56%	401	358	78	13	2	7	35	105	5	10	2	219	297	329	626	110	286	26	9	284	79	-10	+1	+0	+1	+9	0.1
2033	27	MLB MLE	SD	55%	412	368	79	13	2	7	36	109	5	10	3	218	296	327	623	109	286	26	9	283	78	-11	+1	+0	+1	+9	0.0
2034	28	MLB MLE	SD	55%	414	370	79	13	2	7	36	110	5	9	3	216	294	322	616	106	285	27	9	280	76	-12	+1	-1	+1	+9	-0.2
2035	29	MLB MLE	SD	58%	407	364	78	13	2	7	35	110	5	8	2	214	291	315	606	102	283	27	9	276	73	-13	+1	-1	+1	+9	-0.3
2036	30	MLB MLE	SD	60%	397	356	75	12	2	6	34	108	4	7	2	210	287	307	595	97	281	27	9	272	70	-14	+1	-2	+1	+9	-0.6
2028	22	MLB CTX	SD	34%	53	47	9	1	0	1	5	15	1	1	0	204	283	285	568	81	278	28	9	262	65	-2	+0	+0	+0	+1	-0.1
2029	23	MLB CTX	SD	48%	116	104	22	3	1	2	10	31	1	3	1	208	287	300	587	92	280	27	9	269	70	-4	+0	+0	+0	+3	-0.1
2030	24	MLB CTX	SD	53%	170	151	33	5	1	3	15	45	2	4	1	212	291	312	602	100	281	26	9	275	74	-5	+0	+0	+1	+4	-0.1
2031	25	MLB CTX	SD	55%	204	182	39	6	1	4	18	54	2	5	1	214	293	320	613	105	281	26	9	279	77	-6	+1	+0	+1	+4	0.0
2032	26	MLB CTX	SD	56%	223	199	43	7	1	4	19	59	3	5	1	216	294	325	619	109	281	26	9	281	79	-6	+1	+0	+1	+5	0.1
2033	27	MLB CTX	SD	55%	227	202	43	7	1	4	20	60	3	5	1	215	293	322	615	108	281	26	9	280	78	-6	+1	+0	+1	+5	0.0
2034	28	MLB CTX	SD	55%	226	201	43	7	1	4	20	60	3	5	1	213	291	318	609	105	280	27	9	277	76	-7	+1	-0	+1	+5	-0.1
2035	29	MLB CTX	SD	58%	236	211	44	7	1	4	20	64	3	5	1	211	288	311	599	101	278	27	8	273	73	-8	+1	-1	+1	+5	-0.2
2036	30	MLB CTX	SD	60%	239	214	45	7	1	4	20	65	3	4	1	207	285	303	588	96	276	27	8	269	70	-9	+0	-1	+1	+5	-0.3
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1694	1511	321	50	8	30	147	453	21	37	8	212	291	316	607	103	281	27	9	275	71	-52	+4	-2	+6	+37	-0.7
/ 162G	—	A+C		—	650	580	123	19	3	12	56	174	8	14	3	212	290	317	608	105	280	27	9	275	71	-20	+2	-1	+2	+14	-0.3
Career	—	MLE		—	3927	3477	732	108	22	53	360	1082	56	127	32	211	295	300	595	89	287	28	9	273	71	-101	+7	-4	+12	+70	-1.7
/ 162G	—	MLE		—	650	576	122	18	4	9	60	179	9	21	5	212	296	304	600	92	289	28	9	273	71	-20	+1	-1	+2	+14	-0.3

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 ROKACL Padres · 210 PAwOBA .336 → .245 (−91)K% 24.3% → 35.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.29%	÷1.000	×1.440	—	—	34.97%
BB% (unintentional) /PA	14.29%	÷1.000	×0.620	—	×0.995	8.81%
HBP% /PA	2.86%	—	×0.720	—	×0.995	2.05%
Singles /BIP	32.48%	÷1.000	×0.820	×1.016	×0.995	26.92%
Doubles /BIP	2.56%	÷1.000	×0.720	×1.016	×0.995	1.87%
Triples /BIP	2.56%	÷1.000	×0.720	×1.016	×0.995	1.87%
Home runs /BIP	0.85%	÷1.000	×0.780	—	×0.995	0.66%

Factors used: level-wide ROK 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 20 vs a level average of 19.5 → −0.5% on BB/HBP/hit rates (0.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.016.

Result: wOBA .336 → .245; ISO .071 → .051; BABIP .367 → .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).

2025 ROKACL Padres · 243 PAwOBA .352 → .264 (−89)K% 23.0% → 32.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.05%	÷1.023	×1.440	—	—	32.44%
BB% (unintentional) /PA	15.64%	÷0.990	×0.620	—	×1.008	9.87%
HBP% /PA	2.06%	—	×0.720	—	×1.008	1.49%
Singles /BIP	35.92%	÷1.010	×0.820	×1.050	×1.008	30.84%
Doubles /BIP	2.11%	÷1.045	×0.720	×1.050	×1.008	1.54%
Triples /BIP	1.41%	÷1.018	×0.720	×1.050	×1.008	1.05%
Home runs /BIP	1.41%	÷1.018	×0.780	—	×1.008	1.09%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 104, 1B 102, 2B 109, 3B 104, K 105, BB 98 — applied at half strength. Age: age 19 vs a level average of 19.5 → +0.8% on BB/HBP/hit rates (0.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .352 → .264; ISO .066 → .048; BABIP .400 → .338. 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 ROKACL Padres · 53 PAwOBA .168 → .102 (−65)K% 47.2% → 68.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	47.17%	÷0.990	×1.440	—	—	68.65%
BB% (unintentional) /PA	15.09%	÷1.002	×0.620	—	×1.022	9.55%
HBP% /PA	1.89%	—	×0.720	—	×1.022	1.39%
Singles /BIP	17.65%	÷1.014	×0.820	—	×1.022	14.60%
Doubles /BIP	0.00%	÷1.042	×0.720	—	×1.022	0.00%
Triples /BIP	0.00%	÷0.970	×0.720	—	×1.022	0.00%
Home runs /BIP	0.00%	÷0.892	×0.780	—	×1.022	0.00%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 78, 1B 103, 2B 108, 3B 94, K 98, BB 100 — applied at half strength. Age: age 18 vs a level average of 19.5 → +2.2% on BB/HBP/hit rates (1.5 yr younger than average).

Result: wOBA .168 → .102; ISO .000 → .000; BABIP .176 → .146. 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 DSLDSL Padres Gold · 191 PAwOBA .389 → .292 (−97)K% 12.0% → 14.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.04%	÷1.015	×1.220	—	—	14.48%
BB% (unintentional) /PA	24.08%	÷0.968	×0.700	—	×1.022	17.81%
HBP% /PA	2.62%	—	×0.700	—	×1.022	1.87%
Singles /BIP	29.91%	÷0.971	×0.680	×1.013	×1.022	21.72%
Doubles /BIP	3.42%	÷0.926	×0.600	×1.013	×1.022	2.29%
Triples /BIP	1.71%	÷0.999	×0.600	×1.013	×1.022	1.06%
Home runs /BIP	0.00%	÷1.083	×0.470	—	×1.022	0.00%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 117, 1B 94, 2B 85, 3B 100, K 103, BB 94 — 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 ×1.013.

Result: wOBA .389 → .292; ISO .057 → .040; BABIP .350 → .251. 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
#1Ryan Goinslast yr '19 career totals — 7 seasons, 1,680 PA	2.5	1,680	22	6	230	279	335	+9	+21	2.0	2.0
/162	664	9	2	+3.7	+8.5	0.8	pk7: 2
#2Al Weis'62-'71 * career totals — 8 seasons, 1,763 PA	2.7	1,763	7	55	223*	283*	300*	+10	+9	-0.2	1.3
/162	664	3	21	+3.8	+3.5	-0.1	pk7: 3
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 6 projected seasons	2.7	1,804	28	40	215	290	317	+6	+6	0.4	0.5
/162	664	10	15	+2.4	+2.2	0.1	pk7: 1
#3Doug Strange'89-'98 * career totals — 8 seasons, 2,067 PA	3.1	2,067	31	14	225*	286*	340*	+5	-0	-1.5	0.0
/162	664	10	4	+1.6	-0.1	-0.5	pk7: 1
#4Abraham Torolast yr '25 career totals — 6 seasons, 1,561 PA	2.4	1,561	39	16	220	282	351	-1	-8	-0.5	-0.5
/162	664	17	7	-0.2	-3.2	-0.2	pk7: -0
#5Alexi Amaristalast yr '17 career totals — 7 seasons, 1,901 PA	2.9	1,901	21	39	231	275	323	+14	-6	-1.1	-1.1
/162	664	7	14	+4.9	-2.1	-0.4	pk7: -1
#6Vic Harris'72-'80 * career totals — 8 seasons, 1,805 PA	2.7	1,805	13	36	215*	286*	325*	+4	-7	-1.9	-1.1
/162	664	5	13	+1.5	-2.7	-0.7	pk7: -0

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
Luis De Leon (OGILVIE)	21	45	20	60	60	199/278/268	68	281	1	2	28%	9%	59	-0.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Noah Miller 2024 · A	21	40→47	38→40	51→50	47	191/267/270	79	268	5	11	29%	9%	55	-2.0	217/269/299	82	278	6	6	23%	7%	61	-1.5	224/272/309	85	279	7	4	21%	6%	63	-1.2
✕Candido Pimentel 2011 · A	21	44	35→30	52→55	50	205/278/263	57	279	2	17	25%	9%	57	-1.8	221/276/273	52	310	2	15	27%	7%	57	-1.8	234/284/275	41	327	1	17	27%	6%	57	-0.7
✕Nasim Nuñez 2021 · A	20	41→51	35→30	57→65	47	191/265/249	58	277	2	20	30%	9%	49	-2.4	215/301/265	50	313	2	38	28%	11%	66	-1.1	214/299/272	58	299	5	52	27%	10%	65	-1.0
✕Louis Ott 2007 · A	22	44→48	36→30	52→45	40	203/263/271	68	301	3	10	32%	6%	53	-2.1	225/294/293	68	316	4	6	28%	8%	70	-0.9	229/306/286	56	325	4	5	28%	9%	70	-0.4
✕Darwin Perez 2009 · A	20	44→53	36→40	54→50	46	203/275/276	73	292	3	10	29%	9%	59	-1.7	231/292/302	71	324	3	12	27%	8%	70	-0.8	238/302/305	67	328	3	14	26%	8%	72	-0.6
✕Willmer De La Cruz 2024 · A	21	42	36→30	50→55	46	191/277/255	64	298	3	15	34%	10%	55	-1.9	197/272/263	66	330	3	13	37%	9%	55	-2.0	162/255/195	33	292	0	21	40%	10%	30	-0.8
✕Pedro Ruiz 2013 · A	21	47	35→30	51→50	49	214/295/274	61	312	2	14	29%	10%	66	-1.1	196/267/259	63	308	3	7	34%	8%	52	-2.2	164/245/212	48	259	3	2	35%	9%	31	-1.7
✕Jeremy Arocho 2021 · A	22	48→44	36→30	48→60	47	224/284/295	71	288	3	10	22%	7%	65	-1.2	228/321/282	54	318	2	26	25%	12%	78	-0.3	221/328/267	46	302	1	34	24%	13%	75	-0.3
✕Joseph Rosa 2018 · A	21	46→45	37→40	52→50	46	216/268/293	77	264	4	16	19%	6%	59	-1.7	200/263/272	72	289	5	10	30%	7%	53	-2.1	206/281/301	95	299	7	14	31%	8%	65	-0.8
✕Frainyer Chavez 2021 · A	22	44→47	36→40	50	44	210/266/274	64	282	3	15	26%	7%	54	-2.0	207/274/272	65	290	4	11	28%	8%	57	-1.8	223/291/306	84	291	8	18	25%	8%	69	-0.7
✕Brainer Bonaci 2023 · A	21	45→46	40→45	55→50	53	211/302/310	100	290	7	16	27%	11%	77	-0.3	227/287/348	121	312	12	11	29%	8%	80	-0.2	232/274/365	133	311	17	8	30%	5%	76	-0.3
✕Maick Collado 2024 · A	21	49	37→40	52→45	52	228/302/300	72	288	4	9	21%	9%	74	-0.6	214/281/293	79	263	6	5	20%	8%	65	-1.2	207/272/284	77	249	7	3	19%	7%	59	-0.9
✕Abiezel Ramirez 2021 · A	21	43	38→40	54→55	44	205/266/286	81	277	4	14	26%	7%	57	-1.8	189/254/294	105	346	10	13	44%	8%	55	-1.9	165/238/268	103	295	10	15	44%	8%	41	-1.2
✕Odalys Peguero 2024 · A	21	41	38→30	54→55	49	192/275/275	84	274	4	15	29%	10%	59	-1.7	181/258/246	65	270	3	18	31%	9%	46	-2.6	134/222/156	22	206	0	28	32%	9%	11	-2.5
✕Luis Mendez 2014 · A	21	45	36→30	52→50	45	211/271/281	70	270	3	13	22%	6%	58	-1.7	212/274/269	57	285	2	12	24%	6%	56	-1.9	209/265/268	59	274	4	10	24%	6%	50	-1.2
✕Danny Mars 2015 · A	21	43→53	40	54→55	43	210/262/297	87	274	7	15	26%	6%	58	-1.7	238/279/308	70	311	4	19	23%	5%	66	-1.1	257/294/328	70	338	3	19	24%	4%	73	-0.4
✕Alfredo Angarita 2018 · A	21	40	35→30	51→55	51	186/269/244	58	251	2	16	25%	10%	49	-2.4	199/263/254	55	285	2	10	28%	7%	49	-2.4	192/256/235	43	276	1	9	28%	7%	39	-1.4
✕Jason Denham 2007 · A	21	41→45	35→40	53→55	44	191/255/252	61	281	3	10	31%	8%	45	-2.7	220/280/300	80	293	8	18	26%	7%	65	-1.2	220/282/295	75	288	8	21	25%	8%	64	-0.8
✕Cole Tucker 2017 · A	21	49→51	37→45	49→55	43	229/274/303	74	302	4	13	25%	6%	63	-1.4	230/288/329	99	306	6	23	25%	7%	75	-0.5	230/292/338	108	300	7	25	24%	7%	77	-0.3
✕Allan Castro 2024 · A	21	42→45	42→45	52→50	47	205/277/316	111	276	7	12	27%	8%	69	-0.9	213/282/329	116	284	11	15	27%	8%	74	-0.6	212/279/324	113	274	12	17	26%	8%	69	-0.7

Luis De Leon

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps