Juan Monso — OGILVIE

Juan MonsoSS DSL Cubs Red

Age 19 L/R 5'11" / 160 lbs ROK HR -8% Svc 0.0 · Ctrl thru 2037

2026 ROS PROJECTION71 act + 10 ros · stats below = ROS only

showingROS

wRC+†54

AVG/OBP/SLG.111 / .200 / .111

PA10

HR0

K%30

BB%10

BABIP260

ISO92

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit-$1M ctrl surplus

Tools · ContractCON 29 / POW 41

Toolsscout grade

CONTACT29

scouting grade only

POWER41

scouting grade only

EYE63

scouting grade only

SPEED60

scouting grade only

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

Status MiLB

MLB Debut 2032

Service 0 yrs (est)

Team Control Through 2037

First FA Year 2038

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2032
2027	MiLB	still in minors · estimated debut 2032
2028	MiLB	still in minors · estimated debut 2032
2029	MiLB	still in minors · estimated debut 2032
2030	MiLB	still in minors · estimated debut 2032
2031	MiLB	still in minors · estimated debut 2032
2032	Pre-Arb	$0.9M	+0.1	$0.3M	+$0.0M (cut)
2033	Pre-Arb	$1.0M	+0.1	$0.2M	+$0.0M (cut)
2034	Pre-Arb	$1.0M	+0.1	$0.2M	+$0.0M (cut)
2035	Arb-1	$1M	+0.1	$0.2M	+$0.0M (cut)
2036	Arb-2	$1M	—	—	—
2037	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$0.9M	+$0.0M

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)
2024	17	ROK	DSL Cubs Blue	—	44	34	11	1	1	0	5	10	4	1	3	324	465	412	877	88	440	23	11	397	155	+3	-1	—	—	+1	0.3
2025	18	ROK	DSL Cubs Blue	—	138	107	19	7	1	2	24	28	6	10	5	178	358	318	675	140	218	20	17	319	102	+0	+0	—	—	+3	0.3
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	17	ROK MLE	DSL Cubs Blue	—	44	36	9	1	1	0	3	15	4	1	3	250	372	333	705	83	350	34	7	290	82	-1	-1	—	—	+1	-0.1
2025	18	ROK MLE	DSL Cubs Blue	—	138	116	16	6	1	2	15	40	6	10	5	138	270	259	529	121	176	29	11	228	40	-10	+0	—	—	+3	-0.7
2024	17	ROK MLE	DSL Cubs Blue	—	44	36	9	1	1	0	3	15	4	1	3	250	372	333	705	83	409	34	7	290	82	—	—	—	—	—	—
2024	17	ROK RAW	DSL Cubs Blue	—	44	34	11	1	1	0	5	10	4	1	3	324	465	412	877	88	440	23	11	397	82	—	—	—	—	—	—
2025	18	ROK MLE	DSL Cubs Blue	—	138	116	16	6	1	2	15	40	6	10	5	138	270	259	529	121	187	29	11	228	40	—	—	—	—	—	—
2025	18	ROK RAW	DSL Cubs Blue	—	138	107	19	7	1	2	24	28	6	10	5	178	358	318	675	140	218	20	17	319	40	—	—	—	—	—	—
2024	17	ROK MLE	DSL Cubs Blue	—	44	37	9	1	1	0	3	15	4	1	3	243	372	324	696	81	350	34	7	290	82	—	—	—	—	—	—
2025	18	ROK MLE	DSL Cubs Blue	—	138	116	16	6	1	2	15	40	6	10	5	138	270	259	529	121	176	29	11	228	40	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2024	17	ROK MLE	DSL Cubs Blue	—	44	37	9	1	1	0	3	15	4	1	3	243	372	324	696	81	350	34	7	290	82	—	—	—	—	—	—
2025	18	ROK MLE	DSL Cubs Blue	—	138	116	16	6	1	2	15	40	6	10	5	138	270	259	529	121	176	29	11	228	40	—	—	—	—	—	—
YTD	19	ROK MLE	CHC	—	71	61	6	1	0	1	7	33	2	5	1	98	214	164	378	66	179	46	10	164	-3	-9	+1	+0	+1	+2	-0.6
▸ 2026 season
YTD	19	ROK RAW	CHC	—	71	56	7	1	0	1	12	23	2	5	1	125	300	196	496	71	182	32	17	250	-3	—	—	—	—	—	—
ROS	19	ROK MLE	CHC	0%	10	9	1	0	0	0	1	3	0	0	0	111	200	111	311		258	30	10	247	54	-1	+0	+0	+0	+0	-0.0
TOT	19	ROK MLE	CHC	—	81	70	7	1	0	1	8	36	2	5	1	100	212	157	370	57	176	44	10	174	4	-9	+1	+0	+1	+2	-0.6
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	20	MLB MLE	CHC	34%	203	179	33	6	1	3	18	62	4	5	1	184	274	279	553	95	262	31	9	258	61	-9	+1	+0	+2	+4	-0.2
2028	21	MLB MLE	CHC	48%	335	296	58	11	2	6	30	99	6	8	2	196	283	307	591	111	265	30	9	266	66	-13	+1	+0	+4	+7	-0.2
2029	22	MLB MLE	CHC	54%	431	381	76	14	3	8	39	125	8	10	2	199	287	315	602	115	268	29	9	272	70	-15	+1	+0	+5	+9	-0.0
2030	23	MLB MLE	CHC	57%	495	439	87	16	3	9	44	142	9	12	3	198	285	310	594	112	269	29	9	275	72	-16	+1	+0	+5	+11	0.1
2031	24	MLB MLE	CHC	57%	536	473	95	18	3	10	48	154	10	13	3	201	288	315	603	114	270	29	9	277	73	-17	+1	+0	+6	+12	0.2
2032	25	MLB MLE	CHC	57%	561	495	100	19	3	11	51	161	10	14	3	202	290	319	609	117	270	29	9	277	74	-18	+2	+0	+6	+12	0.2
2033	26	MLB MLE	CHC	56%	574	507	101	19	3	11	52	164	10	14	3	199	286	314	600	114	270	29	9	277	74	-18	+2	+0	+6	+12	0.2
2034	27	MLB MLE	CHC	55%	577	508	101	19	3	11	53	166	11	14	3	199	288	313	601	114	270	29	9	278	74	-18	+2	+0	+6	+13	0.3
2035	28	MLB MLE	CHC	59%	575	507	101	19	3	11	53	166	10	14	3	199	288	314	601	114	269	29	9	277	73	-18	+2	-1	+6	+12	0.1
2036	29	MLB MLE	CHC	61%	567	499	99	18	3	11	53	165	10	13	3	198	288	313	601	114	269	29	9	275	72	-19	+1	-1	+6	+12	-0.0
2027	20	MLB CTX	CHC	34%	70	63	11	2	0	1	6	21	1	2	0	175	257	254	511	79	264	30	9	246	61	-3	+0	+0	+1	+2	-0.1
2028	21	MLB CTX	CHC	48%	162	144	28	5	1	3	14	48	3	4	1	194	280	306	585	111	268	30	9	254	66	-6	+0	+0	+2	+4	-0.1
2029	22	MLB CTX	CHC	54%	234	207	42	8	2	4	21	68	4	6	1	203	289	319	608	116	270	29	9	259	70	-8	+1	+0	+3	+5	0.0
2030	23	MLB CTX	CHC	57%	280	248	49	9	2	5	25	80	5	7	2	198	284	310	595	113	271	29	9	262	72	-9	+1	+0	+3	+6	0.0
2031	24	MLB CTX	CHC	57%	303	268	54	10	2	6	27	87	5	7	2	201	287	321	608	119	272	29	9	264	73	-10	+1	+0	+3	+7	0.1
2032	25	MLB CTX	CHC	57%	317	279	57	11	2	6	29	91	6	8	2	204	293	323	616	118	272	29	9	265	74	-10	+1	+0	+3	+7	0.1
2033	26	MLB CTX	CHC	56%	324	286	58	11	2	6	29	93	6	8	2	203	290	318	608	115	272	29	9	265	74	-10	+1	+0	+3	+7	0.1
2034	27	MLB CTX	CHC	55%	320	282	57	11	2	6	29	92	6	8	2	202	290	319	609	117	272	29	9	265	74	-10	+1	+0	+3	+7	0.1
2035	28	MLB CTX	CHC	59%	340	300	59	11	2	6	31	98	6	8	2	197	285	307	592	110	271	29	9	264	73	-11	+1	-0	+4	+7	0.1
2036	29	MLB CTX	CHC	61%	346	305	60	11	2	6	32	100	6	8	2	197	286	305	591	108	271	29	9	262	72	-11	+1	-1	+4	+7	-0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2696	2382	475	89	17	49	243	778	48	66	16	199	287	313	599	113	271	29	9	262	71	-89	+7	-1	+29	+58	0.4
/ 162G	—	A+C		—	650	574	114	21	4	12	59	188	12	16	4	199	287	312	599	113	270	29	9	262	71	-21	+2	-0	+7	+14	0.1
Career	—	MLE		—	5046	4445	877	166	29	93	460	1462	98	128	34	197	287	310	597	113	269	29	9	273	71	-162	+13	-2	+52	+105	0.6
/ 162G	—	MLE		—	650	573	113	21	4	12	59	188	13	16	4	197	287	311	597	113	269	29	9	273	71	-22	+2	-0	+7	+14	0.1

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Danny Espinosalast yr '17 career totals — 8 seasons, 3,267 PA	4.9	3,267	98	64	221	297	378	+16	+36	11.0	11.4
/162	664	20	13	+3.2	+7.3	2.2	pk7: 12
#2Sandy Leónlast yr '22 career totals — 9 seasons, 1,648 PA	2.5	1,648	31	1	209	276	313	+29	+56	6.4	6.7
/162	664	12	0	+11.9	+22.4	2.6	pk7: 7
#3Ronny Cedenolast yr '13 career totals — 9 seasons, 2,783 PA	4.2	2,783	40	39	246	289	354	+28	+19	5.5	5.6
/162	664	10	9	+6.7	+4.5	1.3	pk7: 6
#4Adam Engellast yr '22 career totals — 6 seasons, 1,540 PA	2.3	1,540	30	47	225	280	350	+4	+33	4.1	4.1
/162	664	13	20	+1.8	+14.4	1.8	pk7: 4
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 6 projected seasons	4.2	2,811	53	68	200	284	315	+30	+18	2.1	2.1
/162	664	13	16	+7.1	+4.3	0.5	pk7: 2
#5Ryan Goinslast yr '19 career totals — 7 seasons, 1,680 PA	2.5	1,680	22	6	230	279	335	+9	+21	2.0	2.0
/162	664	9	2	+3.7	+8.5	0.8	pk7: 2
#6Alexi Amaristalast yr '17 career totals — 7 seasons, 1,901 PA	2.9	1,901	21	39	231	275	323	+14	-6	-1.1	-1.1
/162	664	7	14	+4.9	-2.1	-0.4	pk7: -1

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
Juan Monso (OGILVIE)	19	24→29	36→41	55→60	63	177/264/264	87	258	1	3	32%	9%	54	-0.4	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Yeremy Cabrera 2023 · A	18	37→42	38→45	53→60	48	181/263/263	82	240	5	13	26%	8%	52	-2.2	207/289/321	114	272	11	17	26%	9%	75	-0.5	202/287/312	110	269	12	24	27%	8%	70	-0.5
✕Daniel Vellojin 2019 · A	19	39	39→45	47→45	48	189/268/273	83	260	6	6	28%	9%	56	-1.9	213/303/311	98	271	7	8	22%	10%	78	-0.3	194/297/306	112	259	11	6	27%	12%	72	-0.3
✕Carlos Jimenez 2022 · A	19	38→41	42→50	53→55	44	186/268/288	102	275	10	11	34%	9%	60	-1.6	201/285/320	119	319	11	16	37%	10%	73	-0.6	220/298/374	155	300	18	18	31%	9%	87	+0.3
✕Luis Valenzuela 2013 · A	19	42	38→45	52→45	44	198/258/283	84	268	4	6	26%	7%	53	-2.1	213/253/294	81	276	5	8	23%	5%	53	-2.1	262/284/362	100	318	5	7	19%	2%	77	-0.1
✕Diomedes Del Rio 2017 · A	19	38	36→55	53→50	41	181/253/249	68	278	3	8	34%	7%	45	-2.7	199/265/293	94	283	4	9	29%	7%	58	-1.7	197/264/318	122	274	4	11	28%	7%	62	-0.4
✕Jefry Puente 2012 · A	20	35	37→45	55→50	47	170/258/247	77	249	3	11	30%	9%	47	-2.6	192/268/269	77	260	3	14	25%	8%	55	-2.0	163/244/219	56	209	0	27	20%	7%	32	-0.9
✕Omar Alfonzo 2023 · A	19	36→40	37→45	48→40	48	173/263/240	67	258	5	3	32%	10%	47	-2.5	205/289/309	104	317	11	4	35%	10%	72	-0.7	200/285/310	110	312	13	2	37%	10%	69	-0.6
✕Jose Acosta 2019 · A	19	39	37→45	53→55	47	185/259/257	72	250	4	14	26%	8%	49	-2.4	225/287/322	97	319	6	19	29%	7%	74	-0.6	203/263/320	117	308	11	21	36%	6%	62	-0.7
✕John Whittleman 2006 · A	19	44→43	37→50	54→45	48	202/276/286	84	282	2	11	27%	9%	61	-1.5	202/274/310	108	276	9	5	28%	9%	66	-1.1	198/284/316	119	270	11	2	29%	11%	71	-0.7
✕Cole Roederer 2019 · A	19	41→32	43→45	53→50	41	205/260/318	113	293	11	15	33%	7%	62	-1.4	190/260/289	99	288	8	12	34%	8%	56	-1.9	187/254/298	112	272	13	12	34%	7%	56	-1.2
✕Jaden Rudd 2022 · A	19	44→36	40→30	51→50	45	207/290/299	92	294	6	11	30%	8%	70	-0.8	180/288/254	74	275	4	13	32%	10%	61	-1.5	154/279/213	59	249	3	16	34%	11%	47	-1.1
✕Rafael Ramirez Jr. 2023 · A	18	41	38→45	52→45	46	198/269/280	82	263	4	12	25%	8%	57	-1.8	175/267/264	89	303	6	9	39%	10%	54	-2.0	172/276/280	109	289	8	7	39%	12%	60	-0.7
✕Yohairo Cuevas 2023 · A	19	41→38	37→40	49→50	44	190/267/265	75	303	4	9	36%	9%	53	-2.1	194/280/281	87	310	5	14	35%	10%	63	-1.4	189/288/270	81	300	4	18	34%	11%	62	-0.8
✕Mikey Romero 2023 · A	19	45→41	41→50	54→40	42	218/267/327	109	294	7	8	28%	6%	67	-1.1	204/248/327	123	275	11	5	29%	5%	60	-1.6	192/233/335	142	258	14	3	31%	4%	54	-1.1
✕Danny Drullard 2019 · A	19	39	42→45	52→50	45	195/263/301	106	268	9	10	30%	8%	59	-1.6	198/260/301	103	293	9	9	33%	7%	59	-1.7	176/239/288	112	254	11	8	34%	7%	45	-1.2
✕Gilbert Gomez 2011 · A	19	40→37	37→40	54→50	44	191/258/270	80	263	4	18	28%	7%	51	-2.2	202/266/283	81	296	5	9	31%	7%	57	-1.8	194/265/261	67	295	4	7	33%	8%	48	-1.4
✕Angel Ortiz 2022 · A	19	42	41→50	46→45	44	206/261/295	89	268	9	9	26%	7%	57	-1.8	207/258/303	96	280	7	7	27%	6%	58	-1.7	218/275/359	140	283	14	8	27%	7%	76	-0.3
✕Victor Nova 2019 · A	19	39	39→40	50	51	188/280/269	81	263	6	10	29%	11%	60	-1.6	200/276/272	72	297	5	11	31%	9%	59	-1.7	167/246/231	64	261	4	11	34%	9%	36	-1.3
✕Jean Carlos Sio 2023 · A	19	39→49	36→45	52→50	49	185/257/254	70	230	4	16	21%	8%	47	-2.5	208/287/287	79	268	6	12	23%	9%	66	-1.1	221/302/302	81	281	7	12	22%	9%	72	-0.4
✕Vicmal De La Cruz 2013 · A	19	42	39→40	49→50	43	201/264/291	89	282	5	8	29%	7%	57	-1.8	183/238/255	72	271	4	6	32%	6%	40	-3.1	149/204/202	52	220	3	3	32%	5%	13	-1.4

Career Stats + Projections

Career Comps

Career Path Comps