Josue De Paula

CF Tulsa Drillers

Age 22 L/L 6'3" / 185 lbs AA HR +8%BB -8% Svc 1.000 · Ctrl thru 2031

Overview

AA40-MANROOKIEFG #17Pre-ArbFA 2032

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	19	ALAA	251	.279/.391/.447	6	14	84	—	.217/.315/.341
2025	20	AALAD	19	.000/.053/.000	0	0	-97	—	.000/.053/.000
2025	20	A+LAD	426	.263/.407/.421	12	32	95	—	.225/.336/.352
2026	21	MLBLAD	42	.323/.500/.581	1	1	218	0.9
2027PROJ10% MLB	22	MLBLAD	32	.259/.346/.450	1	1	126	0.2
2028PROJ63% MLB	23	MLBLAD	406	.263/.350/.466	17	15	131	2.4
2029PROJ77% MLB	24	MLBLAD	500	.266/.352/.475	21	18	133	3.1

Last 3 seasons WAR 0.9 · Next 3 projected WAR 5.7Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2031Service1.000First FA2032

2027Pre-Arb$0.8M2028Pre-Arb$0.8M2029Arb-1$10M2030Arb-2$18M2031Arb-3$26M

Skills · percentileMiLB Statcast 2026 AA

Whiff%97

K%94

wOBA92

wRC+92

Z-Con%90

ISO88

Form.269/.381/.471 ▲▲ rolling true talent (60d window) · proj .262/.347/.453

Career WAR9 WAR median (P10 0 / P90 56, comp-based) · star 15% · didn't stick 26%

CompsCarlos Correa (age 22) · Gleyber Torres (age 22) · Adrian Beltré (age 22)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†126

AVG/OBP/SLG.259 / .346 / .450

PA32

HR1

K%19

BB%12

BABIP284

ISO179

MLB%10%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control+$47M ctrl surplus

Tools · Recent Form · ContractCON 55 / POW 61

Toolsscout grade · Statcast %ile · 2026

CONTACT55

xAVG

900.311

POWER61

Barrel%

7211.5

Avg EV

5189.2

EYE62

scouting grade only

SPEED40

Sprint

4227.1

DEFENSE40

scouting grade only

Recent Formrolling true talent ⓘ

K%15%▲▲12% over 42 PA (60d) · proj 18%

BB%15%▲▲26% over 42 PA (60d) · proj 11%

ISO.202▲.258 over 31 AB (60d) · proj .191

BABIP.293·.360 over 25 BIP (60d) · proj .291

SLASH.269/.381/.471▲▲proj .262/.347/.453

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

Status Pre-Arb

MLB Debut 2026

Service 1.000 yrs.days

Team Control Through 2031

First FA Year 2032

Year	Status	Salary	Proj WAR	Value	Surplus
2027	Pre-Arb	$0.8M	+0.2	$0.7M	+$0.0M (cut)
2028	Pre-Arb	$0.8M	+2.4	$18M	+$17M
2029	Arb-1	$10M	+3.1	$25M	+$17M
2030	Arb-2	$18M	+3.5	$28M	+$15M
2031	Arb-3	$26M	+3.6	$27M	+$10M
Totals		$54M		$98M	+$59M

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 = actual YTD + projected ROS + total. 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)
2022	17	ROK	DSL LAD Bautista	—	223	186	65	13	2	5	32	31	3	16	6	349	452	522	974	172	395	14	14	429	82	—	—	—	—	—	—
2023	18	A	Rancho Cucamonga Quakes	—	340	282	80	15	2	2	46	61	8	14	3	284	396	372	769	89	353	18	14	352	95	—	—	—	—	—	—
2024	19	A+	Great Lakes Loons	—	230	177	45	6	0	4	50	38	2	13	3	254	424	356	780	102	301	17	22	365	93	—	—	—	—	—	—
2024	19	A	Rancho Cucamonga Quakes	—	251	208	58	11	3	6	34	57	5	14	0	279	391	447	838	168	351	23	14	371	84	—	—	—	—	—	—
2025	20	AA	Tulsa Drillers	—	19	18	0	0	0	0	1	5	0	0	0		53		53			26	5	37	-97	—	—	—	—	—	—
2025	20	A+	Great Lakes Loons	—	426	342	90	16	1	12	81	86	2	32	8	263	407	421	828	158	318	20	19	376	95	—	—	—	—	—	—
2026	21	MLB	Los Angeles Dodgers	—	42	31	10	3	1	1	11	5	0	1	1	323	500	581	1.081	258	360	12	26	470	218	+6	-0	+0	+2	+1	0.9
2026	21	AA	Tulsa Drillers	—	588	501	152	37	2	27	81	87	3	31	10	303	403	547	950	244	321	15	14	414	126	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	42	31	10	3	1	1	11	5	0	1	1	323	500	581	1.081	258	360	12	26	470	204	+5	-0	+0	+2	+1	0.8
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2022	17	ROK MLE	DSL LAD Bautista	—	223	194	43	9	1	2	24	37	3	16	6	222	317	309	626	88	261	17	11	289	82	—	—	—	—	—	—
2023	18	A MLE	Rancho Cucamonga Quakes	—	340	296	78	13	2	2	34	85	8	14	3	264	355	341	696	78	352	25	10	308	95	—	—	—	—	—	—
2024	19	A+ MLE	Great Lakes Loons	—	230	192	44	6	0	3	35	49	2	13	3	229	354	307	661	78	283	21	15	306	93	—	—	—	—	—	—
2024	19	A MLE	Rancho Cucamonga Quakes	—	251	217	47	9	3	4	26	80	5	14	0	217	315	341	656	124	308	32	10	292	84	—	—	—	—	—	—
2025	20	AA MLE	Tulsa Drillers	—	19	18	0	0	0	0	1	6	0	0	0		53		53			32	5	25	-97	—	—	—	—	—	—
2025	20	A+ MLE	Great Lakes Loons	—	426	364	82	14	1	10	59	112	2	32	8	225	336	352	688	126	295	26	14	309	95	—	—	—	—	—	—
2026	21	MLB MLE	Los Angeles Dodgers	—	42	31	10	3	1	1	11	5	0	1	1	323	500	581	1.081	258	360	12	26	490	218	+6	-0	+0	+2	+1	0.9
2026	21	AA MLE	Tulsa Drillers	—	588	524	142	33	2	23	58	106	3	31	10	271	347	473	820	202	298	18	10	355	126	—	—	—	—	—	—
2022	17	ROK MLE	DSL LAD Bautista	—	223	194	43	9	1	2	24	37	3	16	6	222	317	309	626	88	261	17	11	289	82	—	—	—	—	—	—
2022	17	ROK RAW	DSL LAD Bautista	—	223	186	65	13	2	5	32	31	3	16	6	349	452	522	974	172	395	14	14	429	82	—	—	—	—	—	—
2023	18	A MLE	Rancho Cucamonga Quakes	—	340	296	78	13	2	2	34	85	8	14	3	264	355	341	696	78	360	25	10	308	95	—	—	—	—	—	—
2023	18	A RAW	Rancho Cucamonga Quakes	—	340	282	80	15	2	2	46	61	8	14	3	284	396	372	769	89	353	18	14	352	95	—	—	—	—	—	—
2024	19	A MLE	2 teams	—	481	409	92	15	3	8	61	129	7	27	3	225	335	335	670	110	304	27	13	299	88	—	—	—	—	—	—
2024	19	A RAW	2 teams	—	481	385	103	17	3	10	84	95	7	27	3	268	407	405	812	138	327	20	17	369	88	—	—	—	—	—	—
2025	20	A+ MLE	2 teams	—	445	383	82	14	1	10	59	118	2	32	8	214	322	334	656	120	281	27	13	297	87	—	—	—	—	—	—
2025	20	A+ RAW	2 teams	—	445	360	90	16	1	12	82	91	2	32	8	250	392	400	792	150	302	20	18	362	87	—	—	—	—	—	—
2026	21	AA MLE	2 teams	—	630	555	152	36	3	24	69	111	3	32	11	274	357	479	837	205	303	18	11	364	132	—	—	—	—	—	—
2026	21	AA RAW	2 teams	—	630	532	162	40	3	28	92	92	3	32	11	305	410	549	959	244	323	15	15	418	132	—	—	—	—	—	—
2022	17	ROK MLE	DSL LAD Bautista	—	223	194	43	9	1	2	24	37	3	16	6	222	317	309	626	88	261	17	11	289	82	—	—	—	—	—	—
2023	18	A MLE	Rancho Cucamonga Quakes	—	340	295	78	13	2	2	34	85	8	14	3	264	355	342	697	78	352	25	10	308	95	—	—	—	—	—	—
2024	19	A MLE	2 teams	—	481	410	92	15	3	8	61	129	7	27	3	224	335	334	670	110	296	27	13	299	88	—	—	—	—	—	—
2025	20	A+ MLE	2 teams	—	445	381	82	14	1	10	59	118	2	32	8	215	322	336	658	121	282	27	13	297	87	—	—	—	—	—	—
2026	21	AA MLE	2 teams	—	630	553	152	36	3	24	69	111	3	32	11	275	357	481	838	206	302	18	11	364	132	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	19	A MLE	2 teams	—	481	410	92	15	3	8	61	129	7	27	3	224	335	334	670	110	296	27	13	299	88	—	—	—	—	—	—
2025	20	A+ MLE	2 teams	—	445	381	82	14	1	10	59	118	2	32	8	215	322	336	658	121	282	27	13	297	87	—	—	—	—	—	—
2026	21	AA MLE	2 teams	—	630	553	152	36	3	24	69	111	3	32	11	275	357	481	838	206	302	18	11	364	132	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	22	MLB MLE	LAD	10%	648	567	149	33	3	23	72	117	4	23	6	263	349	453	803	191	291	18	11	354	126	+20	+2	-6	+2	+14	1.8
▸ 2027 — real world (MLB)
2027	22	MLB CTX	LAD	10%	32	28	7	2	0	1	4	6	0	1	0	259	346	450	795	191	284	19	12	351	126	+1	+0	-0	+0	+1	0.2
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	23	MLB MLE	LAD	63%	648	567	151	33	3	25	72	115	4	23	6	267	353	469	822	202	292	18	11	361	131	+24	+2	-5	+2	+14	3.8
2029	24	MLB MLE	LAD	77%	648	567	154	33	3	27	72	115	4	23	6	269	355	478	833	209	293	18	11	365	133	+26	+2	-5	+2	+14	4.1
2030	25	MLB MLE	LAD	83%	648	568	153	32	3	27	71	116	4	23	6	270	355	481	836	211	293	18	11	367	134	+26	+2	-4	+2	+14	4.2
2031	26	MLB MLE	LAD	86%	648	568	153	32	3	27	71	118	4	23	6	269	354	480	835	211	293	18	11	366	134	+26	+2	-4	+2	+14	4.2
2032	27	MLB MLE	LAD	85%	648	569	152	32	3	27	70	120	4	22	6	267	352	474	826	207	293	19	11	362	131	+24	+2	-4	+2	+14	4.0
2033	28	MLB MLE	LAD	84%	641	563	149	31	3	26	69	120	4	19	6	265	350	470	819	204	292	19	11	360	130	+23	+1	-4	+2	+14	3.7
2034	29	MLB MLE	LAD	82%	629	552	145	30	3	25	68	120	4	16	5	263	347	464	811	201	291	19	11	357	127	+21	+1	-5	+2	+14	3.3
2035	30	MLB MLE	LAD	81%	616	542	141	29	3	24	66	119	3	12	4	260	344	456	800	196	290	19	11	352	125	+18	+1	-6	+2	+13	2.9
2036	31	MLB MLE	LAD	80%	604	532	136	28	2	23	64	119	3	7	3	256	339	446	785	190	287	20	11	347	121	+15	+0	-6	+2	+13	2.5
2037	32	MLB MLE	LAD	80%	592	522	130	27	2	21	62	119	3	3	3	251	333	433	766	183	283	20	10	339	115	+11	-1	-7	+2	+13	1.9
2038	33	MLB MLE	LAD	80%	547	484	119	24	2	19	56	114	2	2	2	244	325	417	742	173	279	21	10	329	109	+6	-0	-7	+2	+12	1.2
2039	34	MLB MLE	LAD	75%	499	444	104	20	2	16	51	107	1	1	1	235	315	397	712	162	272	21	10	317	101	+0	-0	-8	+2	+11	0.5
2040	35	MLB MLE	LAD	71%	443	395	89	17	1	13	44	99	1	1	1	225	304	375	679	149	265	22	10	304	92	-4	-0	-8	+2	+10	-0.1
2028	23	MLB CTX	LAD	63%	406	356	94	19	2	17	45	72	2	15	4	263	350	466	816	203	285	18	11	359	131	+15	+1	-3	+1	+9	2.4
2029	24	MLB CTX	LAD	77%	500	438	116	24	2	21	55	89	3	18	5	266	352	475	827	210	286	18	11	363	133	+20	+2	-3	+2	+11	3.1
2030	25	MLB CTX	LAD	83%	539	472	126	25	2	24	59	97	3	19	5	266	352	478	831	212	287	18	11	364	134	+22	+2	-3	+2	+12	3.5
2031	26	MLB CTX	LAD	86%	555	486	129	26	2	24	61	101	3	19	5	266	351	478	829	212	287	18	11	364	134	+22	+2	-3	+2	+12	3.6
2032	27	MLB CTX	LAD	85%	549	482	127	25	2	24	59	102	3	19	5	263	349	472	820	208	286	19	11	360	131	+21	+2	-3	+2	+12	3.4
2033	28	MLB CTX	LAD	84%	541	474	125	25	2	23	59	101	3	16	5	262	347	467	814	206	286	19	11	358	130	+19	+1	-4	+2	+12	3.1
2034	29	MLB CTX	LAD	82%	517	453	118	24	2	21	56	98	3	13	4	259	344	461	805	202	285	19	11	354	127	+17	+1	-4	+2	+11	2.7
2035	30	MLB CTX	LAD	81%	499	440	113	23	2	20	53	96	3	10	3	257	341	454	794	197	283	19	11	350	125	+15	+1	-4	+2	+11	2.4
2036	31	MLB CTX	LAD	80%	486	429	109	22	2	19	52	96	2	6	3	253	336	444	780	191	281	20	11	344	121	+12	+0	-5	+2	+11	2.0
2037	32	MLB CTX	LAD	80%	474	419	103	20	1	18	50	96	2	2	2	247	330	431	761	184	277	20	11	337	115	+9	-0	-5	+2	+10	1.5
2038	33	MLB CTX	LAD	80%	437	387	93	18	1	16	45	91	2	2	1	241	322	415	737	174	273	21	10	327	109	+5	+0	-6	+2	+9	1.0
2039	34	MLB CTX	LAD	75%	376	334	77	14	1	13	38	81	1	1	1	232	313	395	707	163	266	22	10	315	101	+0	-0	-6	+1	+8	0.4
2040	35	MLB CTX	LAD	71%	314	279	63	11	1	10	31	70	1	1	1	222	302	372	674	150	259	22	10	302	92	-3	-0	-6	+1	+7	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	6235	5480	1403	279	23	251	674	1195	31	142	45	256	341	453	794	197	283	19	11	349	119	+178	+10	-56	+24	+135	29.8
/ 162G	—	A+C		—	650	571	146	29	2	26	70	125	3	15	5	256	340	450	790	194	284	19	11	349	119	+19	+1	-6	+3	+14	3.1
Career	—	MLE		—	10250	8989	2296	471	45	357	1119	2039	66	307	89	255	342	437	779	182	292	20	11	344	119	+230	+14	-74	+31	+177	38.6
/ 162G	—	MLE		—	650	570	146	30	3	23	71	129	4	19	6	256	343	440	783	184	292	20	11	344	119	+18	+1	-6	+2	+14	3.1

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Curtis Grandersonlast yr '19 AS×3SS career totals — 15 seasons, 8,278 PA	12.5	8,278	344	153	249	337	466	-10	-4	47.5	42.0
/162	664	28	12	-0.8	-0.3	3.8	pk7: 36
#2Ray Lankford'90-'04 * career totals — 14 seasons, 6,674 PA	10.1	6,674	238	258	262*	353*	477*	-4	-10	42.0	37.5
/162	664	24	26	-0.4	-1.0	4.2	pk7: 33
#3Andy Van Slyke'83-'95 * career totals — 13 seasons, 6,478 PA	9.8	6,478	164	245	270*	347*	470*	-6	-17	37.8	33.7
/162	664	17	25	-0.6	-1.7	3.9	pk7: 30
#4Grady Sizemorelast yr '15 career totals — 10 seasons, 4,724 PA	7.1	4,724	150	143	265	349	457	+7	+20	32.3	33.1
/162	664	21	20	+1.0	+2.8	4.5	pk7: 34
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 10 projected seasons	9.4	6,227	240	142	260	340	455	+6	-37	37.4	32.0
/162	664	26	15	+0.7	-4.0	4.0	pk7: 27
#5Vernon Wellslast yr '13 career totals — 13 seasons, 7,118 PA	10.7	7,118	269	108	270	319	461	+0	-19	32.9	31.8
/162	664	25	10	+0.0	-1.8	3.1	pk7: 31
#6Homer Smoot'02-'06 * career totals — 5 seasons, 2,891 PA	4.4	2,891	15	84	285*	339*	472*	+8	-17	15.7	15.7
/162	664	3	19	+1.9	-3.8	3.6	pk7: 16

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
Josue De Paula (OGILVIE)	22	43→55	45→61	40	62	260/347/449	189	291	11	11	18%	11%	126	+1.7	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
●Carlos Correa 2017 · MLB	22	54→61	54→60	54→55	53	273/345/463	190	316	21	17	20%	10%	128	+3.3	269/344/470	201	314	25	7	22%	10%	129	+3.4	263/344/444	182	303	22	0	20%	10%	124	+3.1
●Gleyber Torres 2019 · MLB	22	51→55	53→60	46→50	47	259/324/431	172	322	20	10	26%	8%	113	+2.3	262/329/447	185	304	24	9	22%	9%	118	+2.7	259/345/399	140	294	17	6	17%	11%	114	+2.6
★Adrian Beltré 2001 · MLB	22	55→62	53→65	48→50	56	279/347/459	180	297	21	12	14%	9%	127	+3.3	259/309/424	165	282	19	10	16%	6%	105	+1.7	298/336/528	230	297	31	1	12%	5%	140	+4.3
●Bo Bichette 2020 · MLB	22	55→62	51→60	52→55	45	274/322/446	172	332	16	21	22%	6%	115	+2.4	283/327/467	184	336	21	18	22%	6%	122	+3.0	296/338/473	177	346	22	13	20%	5%	129	+3.8
★Corey Seager 2017 · MLB	23	58→62	54→65	46→45	46	290/339/483	193	336	20	5	20%	6%	130	+3.5	286/350/471	185	335	20	4	20%	8%	131	+3.6	281/349/508	228	296	29	2	16%	9%	141	+3.8
✕Jeremy Hermida 2008 · MLB	24	54→59	52→55	46→50	53	271/349/447	177	324	18	8	22%	10%	125	+3.2	254/323/407	153	311	18	6	23%	9%	107	+1.8	250/317/396	146	313	17	4	25%	8%	101	+1.0
★Gunnar Henderson 2024 · MLB	23	49→56	55→60	55	49	250/326/449	199	320	22	13	28%	10%	117	+2.6	259/334/459	200	307	23	17	23%	9%	123	+3.0	252/331/444	192	295	22	17	22%	9%	119	+3.2
●Jason Heyward 2012 · MLB	22	50→59	53→55	50	57	255/346/432	177	292	20	11	20%	11%	120	+2.8	259/337/437	178	299	21	14	20%	10%	119	+2.7	264/342/431	167	302	19	15	19%	10%	120	+2.7
●Eric Chavez 2001 · MLB	23	51→53	58→65	44→45	54	268/337/476	207	284	26	4	17%	9%	128	+3.3	274/328/504	230	289	29	7	17%	7%	131	+3.6	271/346/497	226	283	29	7	16%	10%	137	+4.2
●Brian McCann 2007 · MLB	23	56→62	56→60	44→45	51	291/343/490	199	299	24	4	13%	7%	133	+3.7	281/337/480	199	294	22	4	13%	7%	128	+3.4	278/355/480	202	295	24	5	14%	10%	136	+3.7
★Ryan Zimmerman 2007 · MLB	22	58→59	52→65	42→45	49	288/339/467	179	328	17	8	18%	7%	126	+3.2	275/332/462	187	307	20	5	17%	8%	122	+3.0	289/358/487	198	317	24	3	17%	9%	139	+4.0
●Stephen Drew 2006 · AA	23	51→57	56→55	43→45	50	263/328/463	201	308	23	7	22%	8%	122	+2.9	257/308/420	163	296	16	6	18%	7%	103	+1.6	268/323/446	179	301	15	6	16%	7%	116	+2.6
●Colby Rasmus 2011 · MLB	24	49→54	55→65	46→50	49	254/319/438	184	302	22	11	24%	9%	112	+2.2	239/304/423	184	289	22	6	24%	8%	103	+1.6	243/309/466	223	315	29	3	32%	8%	116	+1.9
★Adam Dunn 2003 · MLB	23	48→49	59→70	47→50	63	250/373/471	222	303	26	14	25%	15%	139	+4.2	242/361/498	256	285	33	9	27%	14%	141	+4.3	243/362/519	277	281	37	5	27%	15%	147	+5.4
✕Logan O'Hoppe 2023 · MLB	23	46→48	53→55	45	50	238/315/406	168	271	22	7	21%	8%	104	+1.6	238/301/417	179	290	25	5	26%	7%	101	+1.4	230/285/405	175	287	26	2	29%	6%	94	+0.6
●Austin Kearns 2004 · MLB	24	55→64	55→60	47→45	58	280/370/467	186	321	22	9	20%	11%	137	+4.0	256/342/458	202	309	23	6	24%	11%	126	+3.2	258/346/445	187	301	20	4	20%	10%	125	+3.2
✕Andy LaRoche 2007 · AAA	23	53→57	54→55	45	50	271/333/448	178	304	22	8	19%	8%	120	+2.8	249/326/399	150	278	17	7	17%	10%	106	+1.8	240/324/380	140	265	15	5	15%	10%	101	+1.1
●Evan Longoria 2008 · AAA	22	50→57	55→65	47→50	47	261/325/448	187	306	24	5	23%	7%	118	+2.6	268/337/486	218	311	26	9	22%	8%	130	+3.5	266/348/500	234	289	28	8	19%	10%	138	+4.4
●Gabriel Moreno 2022 · AA	22	54→60	53→50	47→45	46	272/326/449	177	307	20	7	19%	6%	118	+2.6	279/338/393	114	335	11	9	19%	8%	108	+1.9	280/361/429	149	314	16	5	15%	10%	126	+2.2
★Justin Upton 2011 · MLB	23	54→59	54→65	51→55	51	269/343/457	188	340	21	16	26%	10%	126	+3.2	270/344/458	188	317	22	16	21%	9%	126	+3.2	259/337/490	231	323	31	10	29%	10%	132	+3.8

Josue De Paula

Career Stats + Projections

Career Comps

Career Path Comps