Jose Escobar — OGILVIE

Jose EscobarSS South Bend Cubs

Age 21 L/R 5'8" / 165 lbs A+ HR -8% Svc 0.0 · Ctrl thru 2035

2026 ROS PROJECTION498 act + 9 ros · stats below = ROS only

showingROS

wRC+†85

AVG/OBP/SLG.125 / .222 / .125

PA9

HR0

K%22

BB%11

BABIP302

ISO92

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$39M ctrl surplus

Tools · ContractCON 45 / POW 25

Toolsscout grade

CONTACT45

scouting grade only

POWER25

scouting grade only

EYE40

scouting grade only

SPEED45

scouting grade only

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

Status MiLB

MLB Debut 2030

Service 0 yrs (est)

Team Control Through 2035

First FA Year 2036

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2030
2027	MiLB	still in minors · estimated debut 2030
2028	MiLB	still in minors · estimated debut 2030
2029	MiLB	still in minors · estimated debut 2030
2030	Pre-Arb	$0.9M	+1.0	$6M	+$5M
2031	Pre-Arb	$0.9M	+1.1	$6M	+$5M
2032	Pre-Arb	$0.9M	+1.1	$6M	+$5M
2033	Arb-1	$5M	+1.0	$5M	+$3M
2034	Arb-2	$7M	+0.9	$2M	+$0.0M (cut)
2035	Arb-3	$9M	+0.8	$2M	+$0.0M (cut)
Totals		$7M		$26M	+$18M

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 Cubs Blue	—	175	156	46	5	7	4	12	30	5	14	3	295	364	494	858	199	339	17	7	373	138	+8	+2	—	—	+4	1.4
2023	18	ROK	ACL Cubs	—	92	81	27	2	0	1	6	13	5	6	1	333	413	395	808	62	388	14	7	372	138	+4	+1	—	—	+2	0.7
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	135	+4	+0	—	—	+2	0.5
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	158	+12	-0	—	—	+4	1.6
2025	20	A	Myrtle Beach Pelicans	—	461	401	106	19	0	5	47	96	9	11	9	264	354	349	704	85	332	21	10	322	104	+2	-1	—	—	+10	1.1
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2022	17	ROK MLE	DSL Cubs Blue	—	175	161	36	4	5	3	7	43	5	14	3	224	277	366	644	143	272	25	4	274	72	-6	+2	—	—	+4	-0.1
2023	18	ROK MLE	ACL Cubs	—	92	83	22	1	0	1	4	19	5	6	1	265	337	313	650	48	330	21	4	284	78	-2	+1	—	—	+2	0.0
2024	19	A MLE	Myrtle Beach Pelicans	—	84	71	12	2	1	4	7	29	5	0	0	169	289	394	684	225	199	35	8	289	82	-2	+0	—	—	+2	-0.0
2024	19	ROK MLE	ACL Cubs	—	178	152	34	3	3	3	20	33	4	10	6	224	330	342	672	118	262	19	11	294	85	-3	-0	—	—	+4	0.0
2025	20	A MLE	Myrtle Beach Pelicans	—	461	422	94	15	0	5	26	142	9	11	9	223	282	294	576	71	315	31	6	257	60	-22	-1	—	—	+10	-1.4
2022	17	ROK MLE	DSL Cubs Blue	—	175	161	36	4	5	3	7	43	5	14	3	224	277	366	644	143	282	25	4	274	72	—	—	—	—	—	—
2022	17	ROK RAW	DSL Cubs Blue	—	175	156	46	5	7	4	12	30	5	14	3	295	364	494	858	199	339	17	7	373	72	—	—	—	—	—	—
2023	18	ROK MLE	ACL Cubs	—	92	83	22	1	0	1	4	19	5	6	1	265	337	313	650	48	333	21	4	284	78	—	—	—	—	—	—
2023	18	ROK RAW	ACL Cubs	—	92	81	27	2	0	1	6	13	5	6	1	333	413	395	808	62	388	14	7	372	78	—	—	—	—	—	—
2024	19	ROK MLE	2 teams	—	262	224	46	5	5	6	26	62	9	10	6	205	313	353	665	147	253	24	10	292	84	—	—	—	—	—	—
2024	19	ROK RAW	2 teams	—	262	209	57	6	7	7	41	43	9	10	6	273	413	469	882	196	311	16	16	390	84	—	—	—	—	—	—
2025	20	A MLE	Myrtle Beach Pelicans	—	461	422	94	15	0	5	26	142	9	11	9	223	282	294	576	71	319	31	6	257	60	—	—	—	—	—	—
2025	20	A RAW	Myrtle Beach Pelicans	—	461	401	106	19	0	5	47	96	9	11	9	264	354	349	704	85	332	21	10	322	60	—	—	—	—	—	—
2022	17	ROK MLE	DSL Cubs Blue	—	175	161	36	4	5	3	7	43	5	14	3	224	277	366	644	143	272	25	4	274	72	—	—	—	—	—	—
2023	18	ROK MLE	ACL Cubs	—	92	83	22	1	0	1	4	19	5	6	1	265	337	313	650	48	330	21	4	284	78	—	—	—	—	—	—
2024	19	ROK MLE	2 teams	—	262	225	46	5	5	6	26	62	9	10	6	204	313	351	664	147	242	24	10	292	84	—	—	—	—	—	—
2025	20	A MLE	Myrtle Beach Pelicans	—	461	423	94	15	0	5	26	142	9	11	9	222	282	293	575	71	315	31	6	257	60	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	18	ROK MLE	ACL Cubs	—	92	83	22	1	0	1	4	19	5	6	1	265	337	313	650	48	330	21	4	284	78	—	—	—	—	—	—
2024	19	ROK MLE	2 teams	—	262	225	46	5	5	6	26	62	9	10	6	204	313	351	664	147	242	24	10	292	84	—	—	—	—	—	—
2025	20	A MLE	Myrtle Beach Pelicans	—	461	423	94	15	0	5	26	142	9	11	9	222	282	293	575	71	315	31	6	257	60	—	—	—	—	—	—
YTD	21	A+ MLE	CHC	—	498	454	120	24	3	6	32	90	7	10	5	264	323	370	693	106	314	18	6	303	91	-5	+0	+0	+5	+11	1.1
▸ 2026 season
YTD	21	A RAW	CHC	—	165	147	44	8	1	2	16	21	2	3	2	299	376	408	784	109	339	13	10	355	91	—	—	—	—	—	—
YTD	21	A+ RAW	CHC	—	333	292	86	20	3	5	31	45	5	7	3	295	372	435	807	140	328	14	9	357	91	—	—	—	—	—	—
ROS	21	A+ MLE	CHC	0%	9	8	1	0	0	0	1	2	0	0	0	125	222	125	347		300	22	11	294	85	-0	+0	+0	+0	+0	0.0
TOT	21	A+ MLE	CHC	—	507	462	121	24	3	6	33	92	7	10	5	262	321	366	687	104	312	18	7	303	91	-5	+0	+0	+5	+11	1.1
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	22	MLB MLE	CHC	35%	538	489	120	22	3	8	36	109	8	8	4	245	308	352	659	106	297	20	7	296	87	-9	+0	+0	+6	+12	0.9
2028	23	MLB MLE	CHC	49%	581	527	131	24	3	11	41	116	8	8	4	249	312	368	681	120	298	20	7	305	93	-5	+0	+0	+6	+13	1.4
2029	24	MLB MLE	CHC	53%	600	544	136	25	3	12	43	118	8	9	5	250	314	373	687	123	298	20	7	311	96	-3	-0	+0	+6	+13	1.7
2030	25	MLB MLE	CHC	55%	613	555	141	26	4	13	45	120	8	9	5	254	319	386	705	132	298	20	7	313	98	-1	-0	+0	+7	+13	1.9
2031	26	MLB MLE	CHC	56%	620	560	143	26	4	14	46	122	9	9	5	255	322	391	713	136	298	20	7	314	99	-1	-0	+0	+7	+13	2.0
2032	27	MLB MLE	CHC	55%	620	559	141	26	3	14	47	122	9	9	5	252	320	385	705	132	298	20	8	315	99	-1	-0	+0	+7	+13	2.0
2033	28	MLB MLE	CHC	55%	615	554	139	26	3	13	47	122	9	9	5	251	320	379	699	128	298	20	8	314	98	-1	-0	-1	+7	+13	1.8
2034	29	MLB MLE	CHC	53%	605	546	136	25	3	13	46	121	8	8	4	249	317	377	694	128	297	20	8	312	97	-2	+0	-1	+6	+13	1.7
2035	30	MLB MLE	CHC	53%	595	536	132	24	3	12	46	121	8	8	4	246	315	369	685	123	296	20	8	309	96	-3	+0	-2	+6	+13	1.4
2036	31	MLB MLE	CHC	52%	581	523	128	23	3	11	45	120	8	7	4	245	314	363	678	119	294	21	8	305	93	-5	-0	-3	+6	+13	1.1
2037	32	MLB MLE	CHC	56%	562	507	123	22	3	11	43	118	7	6	3	243	311	363	674	120	291	21	8	300	89	-7	+0	-4	+6	+12	0.8
2038	33	MLB MLE	CHC	59%	532	480	113	20	3	9	40	114	7	5	3	235	304	346	649	110	288	21	8	293	85	-10	-0	-4	+6	+12	0.3
2039	34	MLB MLE	CHC	54%	485	439	100	17	2	8	37	107	6	4	2	228	297	330	627	103	282	22	8	285	79	-12	+0	-5	+5	+11	-0.1
2027	22	MLB CTX	CHC	35%	186	169	42	8	1	3	12	38	3	3	1	249	310	361	671	112	299	20	6	287	87	-3	+0	+0	+2	+4	0.3
2028	23	MLB CTX	CHC	49%	282	256	64	12	2	5	20	56	4	4	2	250	314	371	685	121	300	20	7	296	93	-2	+0	+0	+3	+6	0.7
2029	24	MLB CTX	CHC	53%	317	287	72	13	2	6	23	63	4	5	2	251	315	373	688	122	300	20	7	301	96	-1	+0	+0	+3	+7	0.9
2030	25	MLB CTX	CHC	55%	336	303	77	14	2	7	25	66	5	5	3	254	321	383	704	129	300	20	7	304	98	-1	-0	+0	+4	+7	1.0
2031	26	MLB CTX	CHC	56%	345	311	79	15	2	7	26	68	5	5	3	254	322	383	704	129	300	20	8	305	99	-0	-0	+0	+4	+7	1.1
2032	27	MLB CTX	CHC	55%	341	307	77	14	2	7	26	67	5	5	3	251	320	378	697	127	300	20	8	305	99	-0	-0	+0	+4	+7	1.1
2033	28	MLB CTX	CHC	55%	336	302	76	14	2	7	26	67	5	5	3	252	321	381	702	129	300	20	8	304	98	-1	-0	-0	+4	+7	1.0
2034	29	MLB CTX	CHC	53%	323	291	74	14	2	7	25	65	4	4	2	254	322	388	710	134	299	20	8	302	97	-1	+0	-1	+3	+7	0.9
2035	30	MLB CTX	CHC	53%	313	282	70	13	2	6	24	63	4	4	2	248	316	372	688	124	298	20	8	300	96	-2	+0	-1	+3	+7	0.8
2036	31	MLB CTX	CHC	52%	303	273	67	12	2	6	23	62	4	4	2	245	313	370	683	125	296	20	8	296	93	-3	+0	-1	+3	+7	0.6
2037	32	MLB CTX	CHC	56%	316	285	69	12	2	6	24	66	4	3	2	242	310	361	671	119	293	21	8	291	89	-4	-0	-2	+3	+7	0.4
2038	33	MLB CTX	CHC	59%	314	283	67	12	2	5	24	67	4	3	2	237	305	346	652	110	290	21	8	284	85	-6	-0	-2	+3	+7	0.2
2039	34	MLB CTX	CHC	54%	264	239	54	9	1	4	20	58	3	2	1	226	294	322	616	96	284	22	8	276	79	-7	+0	-3	+3	+6	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	3976	3588	888	162	24	76	298	806	54	52	28	247	315	370	684	122	298	20	7	297	91	-31	-1	-11	+43	+86	8.8
/ 162G	—	A+C		—	650	587	144	26	4	12	49	132	9	9	5	245	314	365	678	119	295	20	8	297	91	-5	-0	-2	+7	+14	1.4
Career	—	MLE		—	8546	7717	1882	331	50	164	626	1798	131	140	72	244	311	363	675	120	296	21	7	302	91	-60	-1	-20	+81	+164	16.8
/ 162G	—	MLE		—	650	587	143	25	4	12	48	137	10	11	5	244	312	361	673	118	297	21	7	302	91	-5	-0	-2	+7	+14	1.4

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Erick Aybarlast yr '17 career totals — 11 seasons, 5,588 PA	8.4	5,588	58	154	271	314	372	+58	+49	22.0	21.3
/162	664	7	18	+6.9	+5.8	2.6	pk7: 21
#2Freddy Galvislast yr '21 career totals — 10 seasons, 4,238 PA	6.4	4,238	109	57	246	292	387	+42	+68	18.0	17.6
/162	664	17	9	+6.6	+10.6	2.8	pk7: 17
#3Jordy Mercerlast yr '21 career totals — 9 seasons, 3,394 PA	5.1	3,394	66	13	257	315	387	+35	+50	17.0	16.7
/162	664	13	3	+6.9	+9.8	3.3	pk7: 17
#4Zack Cozartlast yr '19 career totals — 8 seasons, 3,350 PA	5.0	3,350	85	21	246	300	398	+33	+38	14.2	14.8
/162	664	17	4	+6.6	+7.6	2.8	pk7: 15
#5Khalil Greenelast yr '09 career totals — 7 seasons, 2,835 PA	4.3	2,835	90	25	245	302	422	+30	+14	13.0	13.0
/162	664	21	6	+7.1	+3.2	3.0	pk7: 13
#6Bobby Crosbylast yr '10 career totals — 7 seasons, 2,832 PA	4.3	2,832	62	34	238	305	374	+28	+33	11.6	11.6
/162	664	15	8	+6.7	+7.7	2.7	pk7: 12
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 7 projected seasons	6.0	3,975	79	52	248	311	371	+41	+21	11.9	10.1
/162	664	13	9	+6.8	+3.5	2.0	pk7: 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
Jose Escobar (OGILVIE)	21	45	25	45	40	243/305/342	99	300	4	6	20%	7%	85	+0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Greg Garcia 2011 · A	21	46→55	40	44→50	43	222/277/317	96	274	7	8	22%	5%	69	-0.9	239/314/332	93	303	5	9	21%	8%	86	+0.3	240/350/332	92	308	6	3	21%	13%	98	+0.6
✕David Martin 2023 · A	22	45	39→30	49→30	42	211/285/300	89	297	5	7	29%	6%	68	-1.0	221/302/288	67	277	4	4	20%	8%	72	-0.7	240/332/298	58	287	4	1	16%	10%	84	+0.1
✕Noah Mendlinger 2022 · A	21	49→59	39→40	44→45	52	230/311/322	91	292	5	6	22%	9%	82	+0.0	244/332/321	77	296	4	8	17%	9%	91	+0.6	271/353/338	68	317	2	8	14%	8%	100	+1.0
✕Sherman Lacrus 2016 · A	22	46	40→30	45→50	49	222/293/313	91	261	7	7	18%	7%	74	-0.5	208/263/291	83	278	5	8	26%	6%	57	-1.8	191/242/262	71	249	5	9	24%	5%	40	-0.9
✕Noe Becerra 2008 · AAA	21	48	40→30	46→40	50	228/295/325	96	276	7	8	19%	8%	77	-0.3	210/273/290	80	268	7	8	23%	8%	61	-1.5	227/282/264	38	279	1	1	18%	7%	56	-0.5
✕Andy Paz 2014 · A	21	45	38→40	42→45	47	212/273/289	77	273	5	5	23%	7%	61	-1.5	202/261/272	70	282	5	5	28%	7%	52	-2.2	218/268/266	48	284	3	6	23%	6%	50	-0.7
✕Anthony Dimino 2016 · A	22	48	35→40	47→50	48	223/281/286	63	285	2	6	22%	7%	62	-1.4	245/309/310	65	313	3	12	21%	8%	78	-0.3	256/318/318	62	321	3	16	20%	8%	80	-0.0
✕Nelson Quiroz 2022 · A	20	45	37→40	47→40	49	212/281/290	78	265	3	4	20%	8%	64	-1.3	230/289/333	103	271	9	4	18%	7%	77	-0.3	263/309/326	63	295	2	0	11%	6%	77	-0.1
✕Luis Sierra 2008 · A	21	47	40	47→45	48	224/297/316	93	266	7	7	18%	7%	77	-0.3	227/276/324	97	273	9	7	20%	5%	70	-0.9	234/272/330	96	283	9	4	20%	5%	68	-0.4
✕Edgar Rondon 2016 · A	21	50	38→40	52→50	45	231/304/321	90	315	3	12	26%	7%	80	-0.2	213/282/287	74	343	3	10	36%	7%	64	-1.3	171/249/199	28	339	0	12	45%	7%	30	-0.7
✕Marcus Lemon 2009 · A	21	50→53	40	45	47	240/301/340	100	298	6	9	21%	7%	82	+0.0	239/283/316	77	294	3	8	19%	5%	70	-0.9	235/284/324	88	297	4	6	21%	6%	68	-0.5
●Niuman Romero 2006 · A	21	46→56	37→40	43→50	46	218/283/297	79	293	4	7	26%	7%	66	-1.1	218/281/281	63	285	3	7	23%	8%	61	-1.5	281/339/367	87	328	5	9	15%	8%	100	+1.2
✕Richi Sanchez 2015 · A	21	49	38→45	49→50	53	229/311/311	82	291	5	8	22%	10%	80	-0.1	212/272/290	78	279	3	7	23%	7%	60	-1.6	202/252/280	79	255	0	6	20%	6%	47	-0.6
✕Carlos Vidal 2017 · A	21	48	43→45	49→50	48	234/302/348	114	288	10	12	22%	7%	85	+0.2	231/279/321	90	301	5	7	24%	6%	70	-0.9	236/282/326	90	306	4	6	23%	5%	69	-0.5
✕Blake Ochoa 2007 · A	21	45	40→45	46→40	44	215/280/308	92	280	6	5	24%	6%	68	-1.0	216/268/311	95	281	7	4	24%	6%	63	-1.3	233/296/372	139	280	15	2	22%	7%	88	+0.1
✕Joel Naughton 2008 · A	21	46	39→40	43→30	44	222/269/306	84	277	6	6	22%	6%	62	-1.4	229/272/318	89	285	7	3	21%	6%	66	-1.1	233/274/319	86	287	8	1	21%	5%	66	-0.5
✕Nick Dunn 2019 · A	22	42→52	39→45	46→40	39	204/259/286	82	269	7	8	26%	5%	55	-2.0	208/253/289	81	258	6	5	21%	5%	53	-2.1	265/331/367	102	293	8	3	12%	8%	97	+0.9
✕Luis Perez 2012 · A	21	48	39→30	49→50	50	225/294/319	94	263	6	9	16%	7%	76	-0.4	222/266/337	115	287	9	8	25%	5%	69	-0.9	221/254/357	136	290	11	7	27%	4%	66	-0.3
✕Daniel Vellojin 2021 · A	21	45	39→45	47→45	51	215/298/306	91	267	6	8	21%	9%	74	-0.5	199/293/310	111	279	10	5	29%	11%	74	-0.5	178/276/286	107	248	11	4	30%	11%	60	-0.8
✕Elias Arias 2015 · A	21	49	36→30	47→55	49	229/297/294	65	290	4	16	21%	8%	71	-0.8	201/258/275	74	289	5	11	30%	7%	51	-2.2	161/210/245	83	254	7	9	38%	5%	23	-0.9

Career Stats + Projections

Career Comps

Career Path Comps