Jose Escobar — OGILVIE

Jose EscobarSS Myrtle Beach Pelicans

Age 21 L/R 5'8" / 165 lbs A BB +5%HR -4% Svc 0.0 · Ctrl thru 2036 peak 2.1 · 2031

wRC+†72

AVG/OBP/SLG.211 / .282 / .303

PA320

HR5

SB5

K%28

BB%7

MLB%0%

Scouting · now → future

HIT

45→45

PWR

25→25

SPD

45→45

EYE

47↘40

trajectory · 10 yrs

2.1peak

2031

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
2026	MiLB	still in minors · estimated debut 2031
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	Arb-3	$0.9M	+2.1	$19M	+$19M
2032	Ext / FA-deal	$0.9M	+2.1	$20M	+$19M
2033	Ext / FA-deal	$1.0M	+2.0	$20M	+$19M
2034	Ext / FA-deal	$4M	+1.7	$17M	+$14M
2035	Ext / FA-deal	$5M	+1.4	$15M	+$10M
2036	Ext / FA-deal	$6M	+1.2	$13M	+$7M
Totals		$17M		$104M	+$87M

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 Cubs Blue	175	162	37	4	5	4	6	43	5	14	3	.228	.277	.389	.666	.160	.282	25	3	.279	72	-6	+2	+0	+2	+5	0.3
2023	18	ROK	ACL Cubs	92	83	22	1	0	1	4	19	5	6	1	.265	.337	.313	.650	.048	.333	21	4	.284	76	-3	+1	+0	+1	+3	0.2
2024	19	ROK	2 teams	262	223	45	5	4	6	27	62	9	10	6	.202	.313	.341	.654	.139	.248	24	10	.289	80	-6	-0	+0	+3	+7	0.4
2025	20	A	Myrtle Beach Pelicans	461	422	94	15	0	5	26	143	9	11	9	.223	.282	.294	.576	.071	.320	31	6	.256	54	-24	-1	+0	+5	+13	-0.7
▸ 2026 Season (actual · ROS · total)
2026	21	A	Myrtle Beach Pelicans	66	59	16	2	0	0	5	17	2	1	0	.271	.348	.305	.654	.034	.381	26	8	.294	83	-1	+0	+0	+1	+2	0.2
ROS	21	MLB	CHC	254	228	51	8	1	3	18	70	6	4	2	.224	.298	.307	.605	.083	.301	28	7	.276	69	-9	+0	+0	+3	+7	0.1
TOT	21	MLB	CHC	320	287	67	10	1	3	23	87	8	5	2	.233	.308	.307	.615	.073	.323	27	7	.279	72	-10	+0	+0	+3	+9	0.3
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	22	MLB 11%	CHC	510	455	105	16	2	8	39	130	11	9	4	.231	.307	.327	.634	.097	.301	25	8	.289	79	-12	+0	+0	+5	+14	0.8
2028	23	MLB 28%	CHC	554	494	116	18	2	11	44	138	11	10	4	.235	.311	.346	.658	.111	.301	25	8	.298	87	-8	+0	+0	+6	+16	1.4
2029	24	MLB 45%	CHC	582	517	122	19	2	12	48	142	12	10	4	.236	.315	.350	.666	.114	.301	24	8	.304	91	-6	+0	+0	+6	+16	1.7
2030	25	MLB 60%	CHC	598	530	127	20	2	13	51	145	12	10	4	.240	.320	.358	.679	.119	.301	24	9	.307	93	-4	+0	+0	+6	+17	2.0
2031	26	MLB 77%	CHC	605	535	128	20	2	14	53	146	12	10	4	.239	.322	.363	.684	.123	.302	24	9	.309	95	-4	+0	+0	+6	+17	2.1
2032	27	MLB 92%	CHC	604	534	128	20	2	14	53	147	12	10	4	.240	.322	.363	.685	.124	.302	24	9	.309	95	-4	+0	+0	+6	+17	2.1
2033	28	MLB	CHC	600	530	125	19	2	13	53	147	12	9	3	.236	.319	.353	.672	.117	.302	24	9	.308	94	-4	+1	-1	+6	+17	2.0
2034	29	MLB	CHC	590	520	123	19	2	13	53	146	12	8	3	.237	.321	.356	.677	.119	.301	25	9	.306	92	-5	+0	-1	+6	+17	1.7
2035	30	MLB	CHC	579	511	119	18	2	12	52	145	11	7	3	.233	.317	.346	.663	.114	.299	25	9	.303	90	-7	+0	-2	+6	+16	1.4
2036	31	MLB	CHC	565	498	114	17	2	11	51	144	11	6	2	.229	.314	.337	.652	.108	.298	25	9	.299	87	-8	+0	-3	+6	+16	1.2
2037	32	MLB	CHC	546	482	110	16	2	11	49	142	10	4	2	.228	.312	.338	.651	.110	.297	26	9	.295	84	-10	+0	-4	+6	+15	0.8
2038	33	MLB	CHC	516	455	102	15	2	9	46	138	10	4	2	.224	.309	.325	.634	.101	.295	27	9	.289	80	-12	+0	-4	+6	+15	0.4
2039	34	MLB	CHC	469	416	90	13	1	8	41	129	9	3	2	.216	.300	.310	.611	.094	.294	28	9	.283	75	-13	-0	-5	+5	+13	-0.0
2040	35	MLB	CHC	414	367	77	11	1	6	36	118	8	3	2	.210	.294	.294	.589	.084	.292	29	9	.276	69	-14	-0	-6	+4	+12	-0.4
▸ Career Totals (MLE all levels + projections)
Career	—			8976	7962	1835	274	36	174	750	2294	187	148	64	.230	.311	.339	.651	.109	.300	26	8	.296	84	-159	+4	-25	+96	+254	17.4
/ 162G	—			650	577	134	20	3	13	54	166	14	11	5	.232	.314	.345	.659	.113	.301	26	8	.296	84	-11	+0	-2	+7	+18	1.3

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 Cubs Blue	175	156	46	5	7	4	12	30	5	14	3	.295	.364	.494	.858	.199	.339	17	7	.373	143	+9	+2	—	—	+5	1.5
2023	18	ROK	ACL Cubs	92	81	27	2	0	1	6	13	5	6	1	.333	.413	.395	.808	.062	.388	14	7	.372	143	+4	+1	—	—	+3	0.8
2024	19	A	Myrtle Beach Pelicans	84	67	14	2	2	4	11	20	5	0	0	.209	.361	.478	.839	.269	.227	24	13	.368	140	+4	+0	—	—	+2	0.6
2024	19	ROK	ACL Cubs	178	142	43	4	5	3	30	23	4	10	6	.303	.438	.465	.902	.162	.342	13	17	.401	165	+13	-0	—	—	+5	1.8
2025	20	A	Myrtle Beach Pelicans	461	401	106	19	0	5	47	96	9	11	9	.264	.354	.349	.704	.085	.332	21	10	.322	105	+2	-1	—	—	+13	1.4

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
Jose Escobar (OGILVIE)	21	45	25	45	40	.211/.282/.303	.092	.287	5	5	28%	7%	64	-0.4	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕David Martin 2023 · A	22	45	39→30	49→30	42	.213/.285/.304	.091	.300	6	7	29%	6%	66	-0.6	.223/.305/.293	.070	.278	5	4	20%	9%	71	-0.3	.243/.334/.302	.059	.291	5	1	16%	10%	83	+0.3
✕Greg Garcia 2011 · A	21	46→53	40	45→50	43	.222/.277/.317	.095	.275	7	8	22%	5%	65	-0.7	.237/.310/.330	.093	.300	5	9	21%	8%	82	+0.5	.241/.350/.334	.093	.308	6	3	21%	13%	99	+0.8
✕Jenner Emeterio 2013 · A	20	45	38→30	48→60	46	.214/.278/.298	.084	.285	5	12	26%	8%	60	-1.0	.216/.302/.277	.061	.288	3	24	23%	10%	66	-0.6	.216/.317/.260	.044	.285	1	34	22%	12%	65	-0.3
✕Noah Mendlinger 2022 · A	21	48→58	39→40	45	51	.228/.304/.321	.093	.288	5	7	22%	9%	77	+0.1	.241/.330/.319	.078	.292	4	8	17%	9%	89	+0.9	.264/.349/.334	.069	.312	2	8	14%	8%	97	+1.1
✕Edgar Rondon 2016 · A	21	50	38→40	52→50	45	.230/.302/.320	.090	.314	3	12	26%	7%	76	+0.0	.214/.283/.288	.074	.342	3	11	35%	7%	59	-1.1	.171/.249/.199	.028	.339	0	12	45%	7%	20	-0.7
✕Freizer Pedron 2007 · A	20	44	37→40	48→55	42	.208/.263/.284	.076	.278	4	12	26%	6%	50	-1.8	.229/.294/.302	.073	.305	3	16	24%	7%	68	-0.5	.262/.328/.337	.075	.341	2	29	22%	6%	87	+0.3
✕Bryant Aragon 2019 · A	21	42	40→30	50→40	39	.206/.257/.301	.095	.292	8	6	31%	6%	52	-1.6	.222/.273/.296	.074	.345	5	5	35%	6%	56	-1.3	.228/.275/.284	.056	.356	4	2	35%	5%	51	-0.6
✕Anthony Dimino 2016 · A	22	47	36→40	47→50	47	.222/.280/.287	.065	.285	3	7	22%	7%	57	-1.2	.244/.308/.310	.066	.312	3	11	21%	8%	76	+0.0	.256/.319/.320	.063	.322	3	16	20%	8%	78	+0.1
●Nick Dunn 2019 · A	22	43→53	39→45	47→40	40	.208/.263/.294	.086	.271	7	8	26%	5%	53	-1.5	.205/.250/.287	.082	.254	6	5	21%	5%	45	-2.1	.263/.330/.370	.108	.289	9	3	12%	8%	97	+1.2
✕Shawn Zarraga 2010 · A	21	45	36→40	48→45	47	.210/.288/.277	.068	.290	4	5	27%	8%	59	-1.1	.233/.300/.320	.087	.305	6	8	24%	7%	76	+0.0	.272/.340/.355	.083	.316	4	2	14%	7%	101	+0.6
✕Noe Becerra 2008 · AAA	21	47	41→30	46→40	48	.228/.290/.329	.101	.275	8	9	20%	7%	73	-0.1	.209/.269/.288	.079	.267	7	8	23%	7%	53	-1.5	.224/.278/.263	.039	.276	2	1	18%	6%	48	-0.5
✕Elias Arias 2015 · A	21	49	36→30	47→55	48	.229/.296/.295	.067	.290	4	15	22%	8%	66	-0.6	.202/.260/.275	.073	.287	5	11	29%	7%	46	-2.0	.161/.210/.245	.083	.254	7	9	38%	5%	13	-0.9
✕Sean McCraw 2007 · A	21	42	41→30	48→30	43	.205/.275/.300	.095	.293	9	5	32%	8%	60	-1.0	.209/.287/.287	.078	.292	6	4	28%	9%	62	-0.9	.197/.281/.258	.062	.273	4	2	27%	10%	49	-0.8
✕Cornelius Randolph 2018 · A	21	45→47	41→40	45	43	.213/.281/.315	.102	.301	8	7	30%	8%	66	-0.6	.214/.275/.306	.092	.302	8	7	30%	7%	61	-1.0	.207/.268/.296	.089	.292	9	8	30%	7%	52	-0.9
✕Andy Paz 2014 · A	21	46	37→40	42→45	48	.215/.279/.290	.075	.276	4	5	23%	8%	58	-1.2	.200/.260/.272	.072	.277	5	5	27%	7%	45	-2.1	.210/.261/.258	.048	.277	3	6	24%	6%	38	-0.7
✕Carlos Vidal 2018 · A	22	49	40→45	46→50	42	.236/.282/.330	.093	.295	7	9	22%	5%	69	-0.4	.218/.266/.313	.095	.283	6	7	24%	6%	58	-1.2	.196/.251/.305	.109	.252	6	5	24%	6%	48	-1.0
✕Richard Paz 2022 · A	21	45	41→30	47→30	44	.217/.277/.315	.098	.273	8	4	23%	6%	64	-0.8	.206/.283/.281	.075	.290	5	3	28%	8%	59	-1.1	.189/.273/.246	.057	.268	3	0	28%	8%	45	-1.1
✕Kier Meredith 2022 · A	22	43	37→30	51→60	45	.202/.271/.271	.070	.286	4	11	29%	8%	50	-1.7	.211/.307/.281	.070	.293	4	26	27%	8%	69	-0.4	.229/.340/.278	.049	.305	3	35	22%	10%	80	+0.1
✕Alexander Campos 2022 · A	22	43	42→40	46→45	48	.209/.289/.317	.108	.281	9	6	28%	9%	70	-0.3	.221/.304/.311	.090	.312	8	6	29%	9%	75	-0.0	.236/.329/.308	.072	.330	7	6	28%	11%	83	+0.2
✕Chase Fontaine 2007 · A	21	48→49	40	46→45	47	.227/.299/.317	.090	.309	7	6	27%	9%	74	-0.1	.223/.290/.305	.082	.316	5	6	28%	8%	66	-0.6	.223/.290/.302	.080	.313	5	5	28%	8%	63	-0.5

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)