Juan Tomas — OGILVIE

Juan TomasSS ACL Cubs

Age 18 S/R 6'1" / 177 lbs ROK HR -8% Svc 0.0 · Ctrl thru 2036

2026 ROS PROJECTION219 act + 20 ros · stats below = ROS only

showingROS

wRC+†58

AVG/OBP/SLG.167 / .250 / .222

PA20

HR0

K%35

BB%10

BABIP283

ISO56

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$5M ctrl surplus

Tools · ContractCON 38 / POW 48

Toolsscout grade

CONTACT38

scouting grade only

POWER48

scouting grade only

EYE60

scouting grade only

SPEED60

scouting grade only

DEFENSE52

scouting grade only

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	Pre-Arb	$0.9M	+0.3	$0.8M	+$0.3M
2032	Pre-Arb	$0.9M	+0.4	$1M	+$0.5M
2033	Pre-Arb	$1.0M	+0.4	$0.9M	+$0.5M
2034	Arb-1	$3M	+0.4	$0.9M	+$0.0M (cut)
2035	Arb-2	$4M	+0.4	$0.8M	+$0.0M (cut)
2036	Arb-3	$6M	+0.4	$0.7M	+$0.0M (cut)
Totals		$3M		$5M	+$1M

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)
2025	17	ROK	DSL Cubs Blue	—	145	113	21	6	2	1	30	42	0	9	4	186	357	301	658	115	278	29	21	309	95	-1	+0	—	—	+3	0.3
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	17	ROK MLE	DSL Cubs Blue	—	145	125	15	4	1	1	18	60	0	9	4	120	231	192	423	72	217	41	12	207	26	-13	+0	—	—	+3	-1.0
2025	17	ROK MLE	DSL Cubs Blue	—	145	125	15	4	1	1	18	60	0	9	4	120	231	192	423	72	212	41	12	207	26	—	—	—	—	—	—
2025	17	ROK RAW	DSL Cubs Blue	—	145	113	21	6	2	1	30	42	0	9	4	186	357	301	658	115	278	29	21	309	26	—	—	—	—	—	—
2025	17	ROK MLE	DSL Cubs Blue	—	145	126	15	4	1	1	18	60	0	9	4	119	231	190	421	71	217	41	12	207	26	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2025	17	ROK MLE	DSL Cubs Blue	—	145	126	15	4	1	1	18	60	0	9	4	119	231	190	421	71	217	41	12	207	26	—	—	—	—	—	—
YTD	18	ROK MLE	CHC	—	219	194	30	4	3	3	24	98	0	7	1	155	248	253	500	98	287	45	11	227	40	-16	+1	+0	+2	+5	-0.8
▸ 2026 season
YTD	18	ROK RAW	CHC	—	219	179	43	6	4	5	38	68	0	7	1	240	372	402	774	162	355	31	17	349	40	—	—	—	—	—	—
ROS	18	ROK MLE	CHC	0%	20	18	3	1	0	0	2	7	0	0	0	167	250	222	472	56	280	35	10	254	58	-1	+0	-0	+0	+0	-0.0
TOT	18	ROK MLE	CHC	—	239	212	33	5	3	3	26	105	0	7	1	156	248	250	498	94	286	44	11	229	41	-17	+1	-0	+3	+5	-0.8
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	19	MLB MLE	CHC	34%	265	235	46	8	2	5	26	89	2	5	1	196	281	311	592	115	283	34	10	268	68	-10	+1	-2	+3	+6	-0.3
2028	20	MLB MLE	CHC	48%	388	344	70	12	3	9	38	127	3	9	2	203	288	334	623	131	286	33	10	278	74	-12	+1	-2	+4	+8	-0.1
2029	21	MLB MLE	CHC	54%	477	424	87	15	4	11	46	152	4	11	3	205	289	337	626	132	287	32	10	285	79	-12	+1	-3	+5	+10	0.2
2030	22	MLB MLE	CHC	57%	540	477	100	17	4	14	53	170	5	13	3	210	295	350	645	140	288	31	10	289	82	-12	+1	-3	+6	+12	0.4
2031	23	MLB MLE	CHC	58%	582	515	108	18	5	15	57	182	5	14	3	210	295	351	646	142	289	31	10	292	83	-11	+2	-3	+6	+13	0.6
2032	24	MLB MLE	CHC	57%	609	538	114	19	5	16	60	190	6	15	3	212	298	355	653	143	290	31	10	294	85	-11	+2	-4	+7	+13	0.7
2033	25	MLB MLE	CHC	57%	624	552	117	20	5	17	61	194	6	15	4	212	297	359	656	147	290	31	10	295	85	-11	+1	-4	+7	+14	0.7
2034	26	MLB MLE	CHC	57%	631	558	118	20	5	17	62	197	6	16	4	211	297	357	654	145	290	31	10	295	86	-11	+2	-4	+7	+14	0.8
2035	27	MLB MLE	CHC	55%	631	557	118	20	5	17	63	197	6	16	4	212	299	357	656	145	290	31	10	295	86	-11	+2	-4	+7	+14	0.8
2036	28	MLB MLE	CHC	55%	626	552	116	19	5	17	63	196	6	15	3	210	298	355	653	145	289	31	10	294	85	-11	+2	-4	+7	+14	0.7
2037	29	MLB MLE	CHC	53%	616	543	114	19	5	16	62	194	6	14	3	210	298	352	650	142	289	31	10	293	84	-12	+2	-5	+7	+13	0.5
2038	30	MLB MLE	CHC	53%	605	533	111	18	5	16	61	192	6	14	3	208	297	351	648	143	288	32	10	290	82	-13	+2	-6	+6	+13	0.3
2039	31	MLB MLE	CHC	52%	591	521	107	18	4	15	60	190	5	13	3	205	294	342	635	136	285	32	10	286	80	-14	+1	-6	+6	+13	0.0
2040	32	MLB MLE	CHC	56%	572	504	101	16	4	14	58	186	5	12	3	200	289	331	621	131	282	33	10	281	76	-16	+1	-7	+6	+12	-0.3
2041	33	MLB MLE	CHC	59%	542	478	94	15	4	12	54	179	5	11	2	197	285	320	605	123	279	33	10	275	72	-18	+1	-7	+6	+12	-0.7
2027	19	MLB CTX	CHC	34%	91	81	17	3	1	2	9	31	1	2	0	210	297	346	642	136	286	34	10	264	68	-4	+0	-1	+1	+2	-0.1
2028	20	MLB CTX	CHC	48%	188	166	34	6	2	4	18	61	2	4	1	205	290	337	628	133	289	32	10	273	74	-6	+0	-1	+2	+4	-0.0
2029	21	MLB CTX	CHC	54%	259	230	47	8	2	6	25	83	2	6	1	204	288	335	623	130	290	32	10	279	79	-7	+1	-2	+3	+6	0.1
2030	22	MLB CTX	CHC	57%	306	270	57	10	3	7	30	96	3	7	2	211	297	348	645	137	291	31	10	283	82	-7	+1	-2	+3	+7	0.2
2031	23	MLB CTX	CHC	58%	335	296	63	11	3	8	33	105	3	8	2	213	298	351	650	139	292	31	10	285	83	-7	+1	-2	+4	+7	0.3
2032	24	MLB CTX	CHC	57%	347	307	65	11	3	9	34	108	3	8	2	212	297	355	652	143	293	31	10	287	85	-6	+1	-2	+4	+8	0.4
2033	25	MLB CTX	CHC	57%	354	313	66	11	3	9	35	110	3	9	2	211	296	351	648	141	293	31	10	288	85	-6	+1	-2	+4	+8	0.4
2034	26	MLB CTX	CHC	57%	357	316	66	11	3	9	35	111	3	9	2	209	294	348	642	139	293	31	10	289	86	-6	+1	-2	+4	+8	0.4
2035	27	MLB CTX	CHC	55%	350	309	65	11	3	9	35	109	3	9	2	210	297	353	650	142	293	31	10	289	86	-6	+1	-2	+4	+8	0.4
2036	28	MLB CTX	CHC	55%	344	303	64	11	3	9	35	108	3	8	2	211	299	356	656	145	292	31	10	288	85	-6	+1	-2	+4	+7	0.4
2037	29	MLB CTX	CHC	53%	329	290	60	10	3	8	33	104	3	8	2	207	294	345	639	138	291	32	10	286	84	-6	+1	-3	+4	+7	0.3
2038	30	MLB CTX	CHC	53%	318	280	59	10	3	8	32	101	3	7	2	211	298	354	652	143	290	32	10	284	82	-7	+1	-3	+3	+7	0.1
2039	31	MLB CTX	CHC	52%	308	271	55	9	3	7	31	99	3	7	2	203	292	336	628	133	288	32	10	280	80	-7	+1	-3	+3	+7	-0.0
2040	32	MLB CTX	CHC	56%	321	283	57	9	3	7	32	104	3	7	2	201	289	329	618	127	285	32	10	275	76	-9	+1	-4	+3	+7	-0.2
2041	33	MLB CTX	CHC	59%	320	282	56	9	3	7	32	106	3	6	1	199	287	326	613	128	281	33	10	269	72	-11	+1	-4	+3	+7	-0.4
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	4527	3997	831	140	41	109	449	1436	41	105	25	208	294	345	640	137	291	32	10	283	80	-99	+11	-35	+49	+98	2.4
/ 162G	—	A+C		—	650	574	120	20	6	16	64	206	6	15	4	209	295	348	643	139	292	32	10	283	80	-14	+2	-5	+7	+14	0.3
Career	—	MLE		—	8464	7474	1539	259	66	212	844	2702	76	202	48	206	293	343	636	137	288	32	10	287	80	-185	+21	-65	+89	+180	4.2
/ 162G	—	MLE		—	650	574	118	20	5	16	65	208	6	16	4	206	293	341	634	136	289	32	10	287	80	-14	+2	-5	+7	+14	0.3

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Brandon Ingelast yr '13 career totals — 13 seasons, 5,617 PA	8.5	5,617	152	45	233	301	384	+26	+73	19.8	20.5
/162	664	18	5	+3.1	+8.6	2.3	pk7: 21
#2John Bucklast yr '14 career totals — 11 seasons, 4,009 PA	6.0	4,009	134	6	234	301	398	+72	+7	16.9	15.7
/162	664	22	1	+11.9	+1.2	2.8	pk7: 14
#3Bobby 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
#4Danny 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
#5Luis Valbuenalast yr '18 career totals — 10 seasons, 3,527 PA	5.3	3,527	113	10	226	311	395	+13	+1	10.5	11.2
/162	664	21	2	+2.4	+0.1	2.0	pk7: 12
#6Gordon Beckhamlast yr '19 career totals — 10 seasons, 3,764 PA	5.7	3,764	80	34	237	301	368	+13	+19	8.2	8.4
/162	664	14	6	+2.4	+3.4	1.4	pk7: 9
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 9 projected seasons	7.0	4,680	117	108	208	291	346	+50	+9	8.4	7.1
/162	664	17	15	+7.1	+1.3	1.2	pk7: 6

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 Tomas (OGILVIE)	18	20→38	30→48	60	60	182/265/285	103	280	2	4	35%	10%	58	-0.4	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Dalton Pompey 2012 · A	19	39→49	41→45	56→55	45	193/266/287	94	270	9	17	30%	8%	58	-1.7	218/283/318	100	304	7	21	28%	8%	71	-0.8	258/316/357	98	327	7	29	22%	7%	89	+0.4
✕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
✕Juan Villavicencio 2023 · A	18	43→45	39→50	55	42	205/265/294	89	297	6	14	32%	7%	59	-1.7	186/260/273	87	276	6	12	32%	8%	53	-2.1	195/272/312	117	292	11	20	34%	9%	64	-0.5
✕Riley Unroe 2014 · A	18	42→48	37→45	51→55	47	196/275/269	72	289	3	9	31%	9%	57	-1.8	195/258/260	65	272	4	9	28%	7%	48	-2.5	221/306/334	113	298	11	26	27%	10%	81	-0.0
✕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
✕Bryan Rincon 2023 · A	19	42→44	45	53→55	45	210/278/331	121	275	12	11	28%	8%	73	-0.6	192/286/292	100	274	9	22	30%	11%	68	-1.0	183/281/318	135	255	15	31	32%	11%	70	-0.5
✕Yunior Garcia 2019 · A	18	37→47	43→50	52→30	40	187/247/297	110	260	10	10	31%	6%	53	-2.1	196/245/302	106	303	10	7	37%	5%	53	-2.1	225/276/346	121	319	13	2	32%	5%	71	-0.3
✕Carlos Sanchez 2023 · A	18	40	41→50	51→40	43	201/255/295	94	263	9	9	27%	6%	55	-1.9	189/255/261	72	263	5	5	28%	7%	47	-2.5	162/251/260	98	233	11	2	33%	10%	46	-0.8
✕Leopoldo Correa 2010 · A	18	41	42→45	50→30	48	197/280/305	107	291	9	5	33%	10%	68	-1.0	210/272/297	87	263	6	3	21%	7%	62	-1.4	212/269/300	89	261	8	0	21%	6%	58	-0.5
✕Eddys Leonard 2019 · A	18	41→46	41→50	48→50	48	200/282/301	101	267	9	14	27%	9%	68	-1.0	209/282/325	116	301	11	8	32%	8%	73	-0.6	222/288/367	145	291	16	4	28%	6%	82	-0.0
✕Arismendy Alcántara 2011 · A	19	44→49	39→55	57→55	44	210/262/301	91	273	5	14	24%	6%	59	-1.7	233/267/327	94	309	6	15	26%	4%	66	-1.1	234/276/378	144	307	14	25	28%	5%	80	-0.1
✕Jim Caceres 2019 · A	18	43	40→45	55	48	207/277/305	97	255	6	14	21%	7%	65	-1.2	196/263/271	75	271	4	10	27%	7%	53	-2.1	124/200/139	15	187	0	10	30%	7%	-1	-1.0
✕Jett Williams 2023 · A	19	45→44	41→45	56→55	44	216/286/317	101	287	8	14	26%	7%	73	-0.6	206/315/327	121	297	9	23	30%	12%	86	+0.3	203/309/335	132	285	10	26	29%	12%	83	+0.1
✕Robel García 2012 · A	19	37	43→50	53→40	43	183/255/301	118	276	9	9	35%	8%	57	-1.8	185/251/274	89	282	5	5	34%	8%	49	-2.4	189/259/371	183	269	25	2	39%	8%	74	-0.3
✕Ronald Hernandez 2022 · A	18	40→47	39→40	50	48	191/272/280	89	263	6	6	28%	9%	59	-1.6	199/283/283	84	294	7	6	32%	9%	64	-1.3	199/287/276	77	306	7	5	34%	10%	62	-0.7
✕Francisco Acuna 2018 · A	18	39→48	37→45	55→50	55	183/284/257	74	242	4	15	24%	11%	59	-1.6	194/267/263	69	267	3	9	26%	8%	53	-2.1	217/289/313	96	287	8	16	26%	7%	70	-0.4
✕Angel Genao 2022 · A	18	45→55	37→45	59→50	55	210/300/285	75	272	4	16	22%	11%	70	-0.8	230/288/322	92	306	6	11	25%	7%	74	-0.6	262/318/385	123	318	10	13	20%	7%	97	+0.9
✕Flemin Bautista 2019 · A	19	41	41→50	54→50	45	197/273/295	98	296	8	13	34%	9%	63	-1.4	186/254/296	110	298	10	10	38%	8%	55	-1.9	152/223/257	106	242	11	7	40%	8%	35	-1.2
✕Ravel Santana 2010 · A	18	39	42→50	48→55	44	192/269/294	102	269	10	9	31%	8%	61	-1.5	219/288/360	141	283	16	15	27%	8%	83	+0.1	220/291/383	163	271	20	20	26%	8%	87	+0.1
✕Gilberto Celestino 2017 · A	18	43→52	38→45	54→55	48	203/273/292	90	270	5	13	25%	8%	61	-1.5	209/261/295	86	283	6	11	27%	6%	57	-1.8	234/311/308	74	302	5	10	22%	9%	76	-0.2

Career Stats + Projections

Career Comps

Career Path Comps