Josue De Paula — OGILVIE

Josue De PaulaCF Tulsa Drillers

Age 21 L/L 6'3" / 185 lbs AA HR +8%BB -8% Svc 0.0 · Ctrl thru 2032

2026 ROS PROJECTION588 act + 10 ros · stats below = ROS only

showingROS

wRC+†114

AVG/OBP/SLG—

PA2

HR0

K%20

BB%10

BABIP285

ISO111

MLB%20%

Value2026 · WAR

2026 MLB RUNS · solid = so far · light = projected ROS (park-applied)

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control+$75M ctrl surplus

Tools · ContractCON 56 / POW 63

Toolsscout grade

CONTACT56

scouting grade only

POWER63

scouting grade only

EYE62

scouting grade only

SPEED41

scouting grade only

DEFENSE41

scouting grade only

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

Status MiLB

MLB Debut 2027

Service 0 yrs (est)

Team Control Through 2032

First FA Year 2033

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2027
2027	Pre-Arb	$0.8M	+1.4	$10M	+$10M
2028	Pre-Arb	$0.8M	+2.2	$15M	+$14M
2029	Pre-Arb	$0.8M	+2.6	$17M	+$16M
2030	Arb-1	$8M	+2.9	$19M	+$13M
2031	Arb-2	$14M	+3.0	$18M	+$10M
2032	Arb-3	$21M	+2.9	$16M	+$5M
Totals		$46M		$96M	+$69M

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. 2026 = actual YTD + projected ROS + total. 2027+ 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	176	+20	+1	—	—	+5	2.6
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	125	+10	+2	—	—	+7	1.9
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	133	+9	+1	—	—	+5	1.6
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	138	+11	+3	—	—	+5	2.0
2025	20	AA	Tulsa Drillers	—	19	18	0	0	0	0	1	5	0	0	0		53		53			26	5	37	-89	-4	+0	—	—	+0	-0.4
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	141	+21	+3	—	—	+9	3.4
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2022	17	ROK MLE	DSL LAD Bautista	—	223	197	52	10	2	4	21	43	3	16	6	264	344	396	740	132	310	19	9	319	102	+1	+1	—	—	+5	0.6
2023	18	A MLE	Rancho Cucamonga Quakes	—	340	297	74	12	2	2	33	84	8	14	3	249	340	323	663	74	331	25	10	295	86	-6	+2	—	—	+7	0.3
2024	19	A+ MLE	Great Lakes Loons	—	230	193	40	5	0	3	34	52	2	13	3	207	332	280	612	73	268	23	15	290	82	-5	+1	—	—	+5	0.2
2024	19	A MLE	Rancho Cucamonga Quakes	—	251	217	46	9	2	5	26	79	5	14	0	212	310	341	651	129	289	31	10	285	79	-6	+3	—	—	+5	0.2
2025	20	AA MLE	Tulsa Drillers	—	19	18	0	0	0	0	1	6	0	0	0		53		53			32	5	24	-98	-4	+0	—	—	+0	-0.4
2025	20	A+ MLE	Great Lakes Loons	—	426	367	78	14	1	10	56	118	2	32	8	213	320	338	658	125	282	28	13	294	85	-8	+3	—	—	+9	0.5
2022	17	ROK MLE	DSL LAD Bautista	—	223	197	52	10	2	4	21	43	3	16	6	264	344	396	740	132	316	19	9	319	102	—	—	—	—	—	—
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	102	—	—	—	—	—	—
2023	18	A MLE	Rancho Cucamonga Quakes	—	340	297	74	12	2	2	33	84	8	14	3	249	340	323	663	74	338	25	10	295	86	—	—	—	—	—	—
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	86	—	—	—	—	—	—
2024	19	A MLE	2 teams	—	481	411	86	14	2	8	59	131	7	27	3	209	319	311	630	102	283	27	12	287	81	—	—	—	—	—	—
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	81	—	—	—	—	—	—
2025	20	A+ MLE	2 teams	—	445	385	78	14	1	10	57	125	2	32	8	203	309	322	631	119	271	28	13	282	77	—	—	—	—	—	—
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	77	—	—	—	—	—	—
2022	17	ROK MLE	DSL LAD Bautista	—	223	197	52	10	2	4	21	43	3	16	6	264	344	396	740	132	310	19	9	319	102	—	—	—	—	—	—
2023	18	A MLE	Rancho Cucamonga Quakes	—	340	296	74	12	2	2	33	84	8	14	3	250	340	324	665	74	331	25	10	295	86	—	—	—	—	—	—
2024	19	A MLE	2 teams	—	481	412	86	14	2	8	59	131	7	27	3	209	319	311	629	102	279	27	12	287	81	—	—	—	—	—	—
2025	20	A+ MLE	2 teams	—	445	383	78	14	1	10	57	125	2	32	8	204	309	324	632	120	270	28	13	282	77	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	18	A MLE	Rancho Cucamonga Quakes	—	340	296	74	12	2	2	33	84	8	14	3	250	340	324	665	74	331	25	10	295	86	—	—	—	—	—	—
2024	19	A MLE	2 teams	—	481	412	86	14	2	8	59	131	7	27	3	209	319	311	629	102	279	27	12	287	81	—	—	—	—	—	—
2025	20	A+ MLE	2 teams	—	445	383	78	14	1	10	57	125	2	32	8	204	309	324	632	120	270	28	13	282	77	—	—	—	—	—	—
YTD	21	AA MLE	LAD	—	588	527	140	33	2	22	55	106	3	31	10	266	338	461	800	195	294	18	9	343	118	+13	+2	+0	+2	+13	3.0
▸ 2026 season
YTD	21	AA RAW	LAD	—	588	501	152	37	2	27	81	87	3	31	10	303	403	547	950	244	321	15	14	414	118	—	—	—	—	—	—
ROS	21	AA MLE	LAD	20%	10	9	2	1	0	0	1	2	0	0	0	222	300	333	633	111	289	20	10	337	114	+0	+0	-0	+0	+0	0.0
▸ 2026 season — projected rest
ROS	21	MLB CTX	LAD	20%	2	2	0	0	0	0	0	0	0	0	0						285	0	0	332	114	+0	+0	-0	+0	+0	0.0
FULL	21	MLB A+C	LAD	—	2	2	0	0	0	0	0	0	0	0	0							0	0	332	118	+0	+0	-0	+0	+0	0.0
TOT	21	AA MLE	LAD	—	598	536	142	34	2	22	56	108	3	31	10	265	338	459	797	194	293	18	9	343	118	+13	+2	-0	+2	+13	3.1
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	22	MLB MLE	LAD	62%	581	515	131	29	2	19	58	113	3	15	5	254	333	429	762	175	288	19	10	338	115	+10	+1	-4	+2	+13	2.2
2028	23	MLB MLE	LAD	77%	609	539	140	30	2	23	61	116	4	14	4	260	339	451	790	191	290	19	10	348	122	+16	+1	-5	+2	+13	2.8
2029	24	MLB MLE	LAD	80%	627	555	146	31	2	25	63	119	4	14	4	263	342	461	804	198	291	19	10	355	126	+20	+1	-5	+2	+14	3.3
2030	25	MLB MLE	LAD	81%	638	564	149	31	2	27	65	120	4	14	4	264	344	470	814	206	291	19	10	359	129	+22	+1	-5	+2	+14	3.5
2031	26	MLB MLE	LAD	82%	637	563	150	31	2	28	65	120	4	14	4	266	347	478	824	211	292	19	10	362	131	+24	+1	-5	+2	+14	3.7
2032	27	MLB MLE	LAD	80%	629	555	148	30	2	28	65	119	4	14	4	267	348	479	827	213	291	19	10	362	131	+23	+1	-5	+2	+14	3.6
2033	28	MLB MLE	LAD	80%	619	546	145	30	2	27	64	118	4	13	4	266	347	476	823	211	291	19	10	361	131	+23	+1	-5	+2	+13	3.4
2034	29	MLB MLE	LAD	77%	609	536	141	29	2	26	64	117	4	13	4	263	346	470	816	207	291	19	11	360	130	+21	+1	-6	+2	+13	3.2
2035	30	MLB MLE	LAD	76%	598	526	138	28	2	25	63	117	4	13	4	262	346	466	811	203	290	20	11	357	128	+20	+1	-7	+2	+13	3.0
2036	31	MLB MLE	LAD	76%	587	517	133	27	2	24	61	116	4	12	4	257	340	456	797	199	288	20	10	353	125	+18	+1	-7	+2	+13	2.6
2037	32	MLB MLE	LAD	75%	576	507	129	26	2	23	60	117	4	12	4	254	338	450	788	195	285	20	10	348	121	+15	+1	-8	+2	+12	2.3
2038	33	MLB MLE	LAD	75%	525	462	116	23	1	21	55	109	3	10	3	251	335	442	776	190	281	21	10	340	116	+10	+1	-8	+2	+11	1.6
2039	34	MLB MLE	LAD	71%	478	423	101	19	1	18	49	102	3	9	3	239	322	416	738	177	275	21	10	331	110	+6	+1	-9	+2	+10	1.0
2040	35	MLB MLE	LAD	66%	422	374	87	16	1	15	43	93	2	8	2	233	315	401	716	168	268	22	10	320	103	+1	+1	-9	+2	+9	0.4
2041	36	MLB MLE	LAD	57%	362	320	71	12	1	12	37	83	2	7	2	222	306	378	685	156	262	23	10	308	95	-2	+1	-9	+1	+8	-0.2
2027	22	MLB CTX	LAD	62%	363	322	82	18	1	13	36	70	2	10	3	255	333	438	771	183	284	19	10	333	115	+7	+1	-3	+1	+8	1.4
2028	23	MLB CTX	LAD	77%	469	416	106	22	1	18	47	90	3	11	3	255	335	442	777	188	286	19	10	343	122	+12	+1	-4	+2	+10	2.2
2029	24	MLB CTX	LAD	80%	501	443	117	24	2	21	50	95	3	11	3	264	343	470	812	205	287	19	10	350	126	+16	+1	-4	+2	+11	2.6
2030	25	MLB CTX	LAD	81%	518	457	122	25	2	23	52	98	4	11	3	267	347	481	828	214	288	19	10	354	129	+18	+1	-4	+2	+11	2.9
2031	26	MLB CTX	LAD	82%	520	458	123	25	2	24	53	98	4	11	3	269	350	489	839	221	288	19	10	357	131	+19	+1	-4	+2	+11	3.0
2032	27	MLB CTX	LAD	80%	505	444	119	24	2	23	52	96	4	11	3	268	350	486	836	218	288	19	10	357	131	+19	+1	-4	+2	+11	2.9
2033	28	MLB CTX	LAD	80%	492	435	114	23	1	22	51	94	3	11	3	262	344	471	815	209	287	19	10	357	131	+18	+1	-4	+2	+11	2.8
2034	29	MLB CTX	LAD	77%	472	417	109	22	1	21	49	91	3	10	3	261	343	470	813	209	287	19	10	355	130	+17	+1	-5	+2	+10	2.5
2035	30	MLB CTX	LAD	76%	456	402	104	21	1	20	48	89	3	10	3	259	342	465	807	206	286	20	11	353	128	+15	+1	-5	+2	+10	2.3
2036	31	MLB CTX	LAD	76%	444	392	100	20	1	19	46	88	3	9	3	255	338	457	795	202	284	20	10	349	125	+13	+1	-6	+2	+10	2.0
2037	32	MLB CTX	LAD	75%	434	383	96	19	1	18	45	88	3	9	3	251	334	446	781	196	281	20	10	343	121	+11	+1	-6	+2	+9	1.7
2038	33	MLB CTX	LAD	75%	395	349	87	17	1	16	41	82	2	8	2	249	332	441	773	192	277	21	10	336	116	+8	+1	-6	+1	+9	1.3
2039	34	MLB CTX	LAD	71%	338	298	71	13	1	13	35	72	2	7	2	238	322	419	742	181	271	21	10	327	110	+4	+1	-6	+1	+7	0.7
2040	35	MLB CTX	LAD	66%	279	246	57	10	1	10	29	62	2	5	2	232	318	402	720	171	265	22	10	316	103	+1	+0	-6	+1	+6	0.2
2041	36	MLB CTX	LAD	57%	207	183	40	7	0	7	21	47	1	4	1	219	302	372	674	153	258	23	10	305	95	-1	+0	-5	+1	+4	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	6395	5647	1447	290	18	268	655	1260	42	138	40	256	338	456	794	200	284	20	10	346	117	+176	+12	-71	+23	+139	28.4
/ 162G	—	A+C		—	650	574	147	29	2	27	67	128	4	14	4	256	338	455	793	199	284	20	10	346	117	+18	+1	-7	+2	+14	2.9
Career	—	MLE		—	9996	8801	2217	443	33	365	1044	2064	73	271	75	252	336	434	770	182	288	21	10	341	117	+227	+14	-97	+30	+184	36.6
/ 162G	—	MLE		—	650	572	144	29	2	24	68	134	5	18	5	252	336	435	772	184	288	21	10	341	117	+17	+1	-7	+2	+14	2.8

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
#2Grady 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
#3Vernon 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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 11 projected seasons	9.7	6,458	261	139	259	337	457	+6	-36	38.6	31.3
/162	664	27	14	+0.6	-3.7	4.0	pk7: 24
#4Dan Ugglalast yr '15 career totals — 10 seasons, 5,509 PA	8.3	5,509	235	26	241	336	447	+20	-17	28.7	28.7
/162	664	28	3	+2.4	-2.1	3.5	pk7: 29
#5Brian Dozierlast yr '19 career totals — 8 seasons, 4,884 PA	7.4	4,884	192	105	245	326	442	+20	+24	27.7	27.6
/162	664	26	14	+2.7	+3.2	3.8	pk7: 28
#6Casey Blakelast yr '11 career totals — 9 seasons, 4,966 PA	7.5	4,966	165	33	264	337	444	+3	+16	26.5	25.2
/162	664	22	4	+0.4	+2.2	3.5	pk7: 24

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)	21	46→56	53→63	39→41	62	252/331/423	171	289	10	14	19%	10%	114	+1.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
●Brian McCann 2006 · MLB	22	50→60	48→60	42→45	53	247/313/392	145	270	15	6	15%	8%	99	+1.3	288/348/486	198	301	23	4	13%	8%	134	+3.8	282/366/487	205	300	24	5	14%	11%	134	+3.6
●Jesse Winker 2016 · AA	22	50→60	46→55	47→45	51	246/318/378	131	300	13	7	22%	9%	98	+1.2	268/338/373	105	319	9	4	18%	9%	104	+1.6	277/374/502	225	299	27	1	17%	11%	142	+2.6
✕Brian Goodwin 2013 · AA	22	47→52	46→60	48→50	49	230/304/365	135	294	13	13	26%	9%	90	+0.6	213/284/325	112	292	9	13	28%	8%	73	-0.6	243/310/437	193	313	22	11	28%	8%	105	+1.0
●Hank Blalock 2003 · MLB	22	46→56	46→65	47→45	53	227/313/359	132	286	13	6	24%	11%	92	+0.7	277/340/480	203	309	25	3	19%	9%	130	+3.5	276/340/479	202	307	25	1	19%	8%	126	+3.6
●Logan Morrison 2010 · AA	22	53→61	47→65	46→45	51	260/324/401	142	308	14	8	20%	8%	105	+1.7	260/344/435	175	301	15	4	18%	11%	120	+2.8	258/346/448	191	292	18	2	17%	11%	121	+2.4
●Eddie Rosario 2013 · A	21	49→56	50→60	48→50	42	249/288/410	161	301	17	12	23%	5%	95	+0.9	242/276/381	139	303	12	10	24%	4%	82	+0.0	280/316/488	208	299	28	7	17%	5%	120	+2.7
●Carlos González 2007 · AA	21	47→57	52→65	47→55	39	243/285/414	171	300	19	9	26%	5%	94	+0.9	248/289/404	156	312	15	11	25%	5%	93	+0.8	289/350/510	221	331	26	23	20%	8%	133	+3.6
●Justin Upton 2009 · MLB	21	49→59	51→65	47→55	49	242/319/415	173	313	18	9	27%	10%	107	+1.9	273/351/474	201	340	22	16	25%	10%	132	+3.6	281/360/489	209	336	24	19	23%	10%	133	+3.8
●Andrew Benintendi 2016 · A	22	50→60	50→55	47→50	48	252/308/404	152	285	18	11	19%	7%	101	+1.4	261/325/416	155	296	14	15	16%	8%	109	+2.0	267/349/430	163	312	16	16	19%	10%	117	+2.8
●Joc Pederson 2013 · A	21	50→52	48→65	50→55	46	249/309/393	144	304	16	18	23%	7%	99	+1.2	231/315/397	166	304	20	20	29%	10%	102	+1.5	263/368/494	232	301	30	5	22%	12%	137	+2.9
●Gleyber Torres 2019 · MLB	22	50→53	52→60	46→50	48	255/321/423	168	316	20	10	26%	8%	109	+2.0	262/331/445	183	304	24	9	22%	9%	118	+2.7	258/344/398	139	293	17	6	17%	11%	111	+2.3
●Colby Rasmus 2008 · AA	21	44→54	52→65	53→50	46	227/294/399	172	274	19	15	25%	8%	95	+0.9	235/303/397	162	282	19	12	23%	8%	97	+1.1	243/311/468	224	317	29	3	32%	8%	115	+1.8
●John Jaso 2006 · A	22	48→57	49→55	47→45	48	244/302/395	151	280	16	5	20%	7%	96	+1.0	257/316/388	131	289	14	3	16%	7%	99	+1.3	270/374/430	159	310	15	6	16%	13%	128	+1.8
✕Jaff Decker 2011 · A	21	46→49	54→55	45→55	51	235/324/415	180	304	22	7	29%	10%	109	+2.0	209/292/354	145	278	16	9	29%	10%	84	+0.1	221/295/327	106	285	9	13	24%	9%	76	-0.3
★Corey Seager 2015 · AA	21	52→62	53→65	49→45	41	261/308/445	184	334	20	7	28%	6%	109	+2.0	279/333/460	181	331	19	5	21%	7%	122	+3.0	287/349/471	183	334	20	4	19%	8%	128	+3.6
●Kolten Wong 2012 · A	21	51→61	45→50	48→55	48	251/301/378	127	283	11	12	16%	6%	91	+0.7	254/297/365	111	293	9	19	16%	5%	86	+0.3	271/355/410	138	308	11	16	15%	9%	112	+1.7
●Wander Franco 2022 · MLB	21	55→57	48→55	49→55	52	270/325/430	160	290	13	9	13%	7%	112	+2.2	272/330/438	166	293	16	20	13%	8%	116	+2.5	277/339/446	169	295	16	27	12%	8%	117	+1.8
●Corey Patterson 2001 · MLB	21	45→55	53→55	47→60	46	233/302/403	170	288	21	12	27%	8%	99	+1.2	245/288/393	148	297	17	16	23%	5%	91	+0.6	265/306/437	171	323	18	24	23%	5%	103	+1.4
●Jay Bruce 2008 · AAA	21	49→54	52→65	46→50	39	244/289/425	180	328	18	9	30%	6%	98	+1.2	257/313/456	199	311	24	8	25%	7%	115	+2.4	254/334/470	216	299	27	7	24%	10%	115	+2.5
✕Adael Amador 2023 · A	20	51→54	46→50	46→55	55	252/334/383	131	290	14	14	18%	10%	105	+1.7	229/302/359	130	266	15	21	19%	9%	88	+0.4	216/294/338	122	249	13	22	19%	9%	78	-0.2

Career Stats + Projections

Career Comps

Career Path Comps