Josue De Paula — OGILVIE

Josue De PaulaCF Tulsa Drillers

Age 21 L/L 6'3" / 185 lbs AA HR +15%K -3% Svc 0.0 · Ctrl thru 2033 peak 3.7 · 2031

wRC+†105

AVG/OBP/SLG.216 / .315 / .328

PA320

HR6

SB12

K%26

BB%12

MLB%12%

Scouting · now → future

HIT

42↗55

PWR

46↗61

SPD

38↗41

FLD

30↗42

EYE

65↗66

trajectory · 10 yrs

4.2peak

2031

Contract

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

Status MiLB

MLB Debut 2028

Service 0 yrs (est)

Team Control Through 2033

First FA Year 2034

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2028
2027	MiLB	still in minors · estimated debut 2028
2028	Pre-Arb	$0.8M	+2.1	$18M	+$17M
2029	Arb-1	$0.8M	+2.7	$24M	+$23M
2030	Arb-2	$0.9M	+3.3	$30M	+$29M
2031	Arb-3	$8M	+3.7	$34M	+$27M
2032	Ext / FA-deal	$13M	+3.6	$34M	+$22M
2033	Ext / FA-deal	$18M	+3.5	$34M	+$16M
Totals		$41M		$174M	+$133M

Career Projections (MLE)

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	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
2022	17	ROK	DSL LAD Bautista	223	196	52	10	2	4	22	43	3	16	6	.265	.348	.398	.746	.133	.318	19	10	.321	104	+1	+1	+0	+1	+6	0.9
2023	18	A	Rancho Cucamonga Quakes	340	297	73	12	2	2	33	84	8	14	3	.246	.337	.320	.657	.074	.333	25	10	.294	83	-6	+2	+0	+1	+10	0.6
2024	19	A	2 teams	481	411	88	14	2	8	59	127	7	27	3	.214	.323	.316	.639	.102	.286	26	12	.290	80	-11	+4	+0	+2	+14	0.9
2025	20	A+	2 teams	445	385	81	14	1	10	57	118	2	32	8	.210	.315	.330	.645	.119	.275	27	13	.286	77	-11	+3	+0	+2	+13	0.6
▸ 2026 Season (actual · ROS · total)
2026	21	AA	Tulsa Drillers	79	68	21	4	0	1	10	12	1	4	2	.309	.405	.412	.817	.103	.364	15	13	.362	135	+3	+0	+0	+0	+2	0.6
ROS	21	MLB	LAD	241	209	48	8	1	4	28	58	2	8	2	.230	.326	.335	.661	.105	.299	24	12	.309	95	-1	+1	-2	+1	+7	0.5
TOT	21	MLB	LAD	320	277	69	12	1	5	38	70	3	12	4	.249	.346	.354	.700	.105	.315	22	12	.322	105	+2	+1	-2	+1	+9	1.1
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	22	MLB 33%	LAD	518	445	106	17	2	11	62	127	6	18	5	.238	.339	.360	.699	.121	.304	25	12	.317	101	+0	+2	-4	+2	+15	1.4
2028	23	MLB 59%	LAD	562	484	118	19	2	15	67	136	6	18	5	.244	.343	.384	.727	.140	.306	24	12	.327	109	+6	+2	-5	+2	+16	2.1
2029	24	MLB 82%	LAD	590	508	127	20	2	18	71	141	6	18	5	.250	.349	.404	.752	.154	.308	24	12	.338	116	+11	+2	-5	+2	+17	2.7
2030	25	MLB	LAD	606	520	133	21	2	21	74	143	7	18	4	.256	.356	.425	.781	.169	.310	24	12	.347	124	+16	+2	-5	+2	+17	3.3
2031	26	MLB	LAD	613	525	135	21	2	22	76	145	7	17	4	.257	.359	.430	.789	.173	.311	24	12	.353	128	+20	+2	-5	+2	+17	3.7
2032	27	MLB	LAD	613	524	135	21	2	22	77	145	7	16	4	.258	.360	.431	.791	.174	.312	24	13	.353	128	+20	+2	-5	+2	+17	3.6
2033	28	MLB	LAD	608	520	134	21	2	22	76	145	7	14	3	.258	.360	.433	.793	.175	.311	24	12	.352	128	+19	+2	-6	+2	+17	3.5
2034	29	MLB	LAD	598	512	130	20	2	21	75	144	6	12	3	.254	.356	.424	.780	.170	.311	24	13	.350	126	+18	+1	-6	+2	+17	3.2
2035	30	MLB	LAD	588	503	128	20	2	21	74	144	6	10	2	.254	.357	.427	.784	.173	.310	24	13	.347	124	+16	+1	-7	+2	+17	2.9
2036	31	MLB	LAD	574	491	123	19	2	20	72	143	6	7	1	.251	.353	.420	.773	.169	.309	25	13	.344	121	+14	+1	-8	+2	+16	2.6
2037	32	MLB	LAD	555	474	116	18	1	18	70	141	6	5	0	.245	.349	.401	.750	.156	.308	25	13	.339	118	+11	+1	-8	+2	+16	2.2
2038	33	MLB	LAD	525	449	108	16	1	17	66	137	5	3	0	.241	.344	.394	.738	.154	.307	26	13	.334	113	+8	+1	-9	+2	+15	1.7
2039	34	MLB	LAD	478	410	97	14	1	15	60	129	5	2	0	.237	.341	.385	.726	.149	.305	27	13	.327	109	+5	+0	-9	+2	+14	1.2
2040	35	MLB	LAD	422	363	83	12	1	12	52	118	4	2	0	.229	.332	.366	.698	.138	.304	28	12	.320	103	+1	+0	-9	+2	+12	0.6
2041	36	MLB	LAD	362	312	70	10	1	10	44	105	3	1	0	.224	.326	.359	.685	.135	.302	29	12	.311	96	-2	+0	-9	+1	+10	0.1
2042	37	MLB	LAD	297	256	56	8	1	7	36	89	3	1	0	.219	.322	.340	.662	.121	.299	30	12	.301	89	-4	+0	-9	+1	+8	-0.4
2043	38	MLB	LAD	228	197	42	6	1	5	27	70	2	0	0	.213	.314	.330	.644	.117	.295	31	12	.291	81	-5	+0	-10	+1	+6	-0.7
▸ Career Totals (MLE all levels + projections)
Career	—			10467	8991	2183	341	35	305	1278	2632	114	259	58	.243	.344	.390	.735	.147	.307	25	12	.330	110	+124	+29	-121	+37	+297	37.3
/ 162G	—			650	558	135	21	2	19	79	163	7	16	4	.242	.343	.389	.732	.147	.306	25	12	.330	110	+8	+2	-8	+2	+18	2.3

Historical Stats — Raw (Per Stint)

Actual MLB + MiLB stats as they happened, one row per stint at each level. Use this to see what really got recorded; the table above shows MLB-equivalent translations + projections.

Year	Age	Lvl	Team	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
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	186	+22	+1	—	—	+6	2.9
2023	18	A	Rancho Cucamonga Quakes	340	282	80	15	2	2	46	61	8	14	3	.284	.396	.372	.769	.089	.353	18	14	.352	128	+11	+2	—	—	+10	2.2
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	138	+10	+1	—	—	+7	1.8
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	142	+12	+3	—	—	+7	2.2
2025	20	AA	Tulsa Drillers	19	18	0	0	0	0	1	5	0	0	0	.000	.053	.000	.053	.000	.000	26	5	.037	-114	-5	+0	—	—	+1	-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	146	+22	+3	—	—	+12	3.8

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	42→55	46→61	38→41	66	.216/.315/.328	.112	.284	6	10	26%	12%	85	+0.4	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
●Gleyber Torres 2018 · AAA	21	49→54	43→60	46→50	44	.235/.295/.352	.116	.317	10	14	28%	7%	81	+0.4	.262/.327/.453	.191	.314	25	8	24%	8%	121	+3.2	.258/.343/.395	.138	.293	16	6	17%	11%	111	+2.7
●Brian Goodwin 2013 · AA	22	46→52	47→60	48→50	48	.228/.298/.366	.138	.291	14	13	26%	8%	87	+0.8	.216/.287/.334	.118	.296	10	14	28%	8%	74	-0.1	.243/.309/.437	.195	.311	23	11	28%	8%	105	+1.3
●Aaron Hicks 2011 · A	21	48→56	42→60	49→55	52	.227/.305/.336	.109	.301	8	13	26%	10%	82	+0.5	.221/.297/.347	.126	.308	9	16	28%	10%	81	+0.4	.247/.358/.450	.204	.280	25	11	21%	14%	127	+2.4
●J.P. Crawford 2016 · AA	21	52→58	41→45	48→50	53	.248/.314/.348	.100	.291	8	13	17%	8%	88	+0.9	.222/.296/.324	.102	.270	9	9	20%	9%	75	-0.0	.263/.355/.386	.123	.307	11	2	17%	11%	113	+2.8
●Esteban Quiroz 2013 · AAA	21	47→57	42→55	49→45	45	.228/.281/.337	.109	.272	9	10	20%	6%	72	-0.2	.236/.300/.349	.113	.282	9	8	19%	7%	82	+0.5	.283/.357/.422	.139	.316	15	7	15%	9%	125	+2.2
●Jesse Winker 2015 · AA	21	47→57	47→55	49→45	51	.234/.309/.371	.137	.290	14	5	24%	9%	92	+1.2	.257/.325/.377	.120	.313	12	5	20%	9%	101	+1.8	.272/.369/.498	.227	.291	28	1	17%	11%	143	+2.8
★Hank Blalock 2003 · MLB	22	46→56	46→65	48→45	53	.228/.314/.363	.134	.288	13	6	24%	10%	92	+1.2	.276/.339/.478	.202	.308	25	3	19%	9%	133	+4.0	.276/.340/.479	.202	.307	25	1	19%	8%	129	+4.2
●Sean Rodríguez 2006 · A	21	43→49	45→60	49→50	53	.215/.299/.346	.130	.255	12	15	21%	10%	82	+0.5	.228/.299/.394	.166	.292	19	11	28%	7%	95	+1.4	.238/.311/.439	.201	.293	25	12	27%	7%	107	+1.7
●Joc Pederson 2013 · A	21	50→52	48→65	50→55	46	.248/.308/.391	.143	.303	16	18	23%	7%	97	+1.5	.233/.315/.404	.171	.306	21	20	29%	10%	104	+2.0	.257/.362/.473	.216	.296	28	5	22%	12%	134	+3.0
●Kolten Wong 2012 · A	21	51→60	45→50	48→55	48	.248/.300/.374	.126	.278	11	12	16%	6%	89	+0.9	.251/.296/.362	.111	.291	9	18	17%	5%	84	+0.6	.270/.354/.410	.140	.305	12	16	15%	9%	112	+2.0
●Isaac Paredes 2020 · AA	21	47→51	44→60	44→40	48	.229/.293/.341	.112	.261	11	4	17%	7%	79	+0.3	.231/.306/.363	.132	.264	15	3	18%	9%	89	+1.0	.245/.349/.440	.195	.261	25	1	17%	11%	126	+3.2
✕Jason Martin 2017 · A	21	43→50	45→60	48→50	45	.216/.275/.346	.130	.280	12	13	27%	7%	71	-0.3	.222/.270/.365	.143	.297	15	12	29%	6%	74	-0.1	.218/.285/.408	.191	.271	26	8	29%	8%	90	+0.7
★Austin Meadows 2016 · AA	21	52→56	41→65	50→55	44	.251/.296/.355	.105	.313	8	11	22%	6%	82	+0.5	.240/.284/.381	.141	.289	13	17	21%	5%	84	+0.6	.255/.336/.495	.240	.289	30	8	23%	10%	129	+2.7
●Eduardo Arredondo 2006 · AAA	21	44→54	44→45	48→60	49	.217/.279/.333	.115	.234	12	13	14%	6%	70	-0.3	.254/.299/.352	.098	.274	8	12	10%	5%	82	+0.5	.323/.362/.422	.098	.342	4	16	6%	4%	123	+2.1
✕Jake Bauers 2017 · AA	21	48→50	44→60	43→55	49	.237/.298/.355	.119	.283	12	7	21%	8%	83	+0.6	.226/.303/.362	.136	.283	14	13	24%	9%	88	+0.9	.216/.314/.413	.198	.284	25	18	31%	12%	99	+0.9
●Luis Valbuena 2008 · AA	22	47→55	42→60	48→50	47	.228/.280/.338	.111	.271	9	11	20%	7%	71	-0.3	.243/.300/.369	.126	.289	12	10	19%	8%	88	+0.9	.236/.329/.431	.194	.271	23	1	22%	12%	109	+1.8
●Eddie Rosario 2014 · AA	22	51→55	48→60	46→50	42	.253/.292/.404	.151	.309	14	9	23%	5%	93	+1.3	.245/.276/.389	.144	.307	13	10	24%	4%	82	+0.5	.277/.313/.475	.198	.296	27	7	17%	5%	116	+2.8
●Gavin Lux 2019 · AA	21	48→58	43→50	50	46	.233/.290/.345	.112	.296	10	12	24%	7%	76	+0.1	.249/.309/.402	.153	.314	17	10	25%	8%	100	+1.7	.260/.330/.404	.144	.327	14	8	23%	9%	106	+1.8
●Alex Verdugo 2017 · AA	21	51→58	43→50	44→45	44	.251/.288/.365	.113	.283	11	7	16%	4%	81	+0.4	.262/.311/.374	.112	.298	11	8	15%	6%	93	+1.3	.289/.349/.442	.153	.326	15	7	16%	8%	121	+2.1
●Jonathan Schoop 2013 · AA	21	46→56	44→60	44→45	44	.230/.279/.348	.118	.273	12	6	21%	6%	73	-0.1	.229/.271/.369	.140	.277	18	4	24%	4%	76	+0.1	.276/.314/.469	.194	.320	25	1	22%	4%	118	+2.8

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)