Juan Tomas

SS ACL Cubs

Age 19 S/R 6'1" / 177 lbs ROK HR -8% Svc 0.0 · Ctrl thru 2036

Overview

ROKPROSPECTMiLBFA 2037

OGV OFP35OGV rank#1452ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2025	17	ROKDSL Cubs Blue	145	.186/.357/.301	1	9	27	—	.115/.245/.189
2026	18	ROKCHC	219	.240/.372/.402	5	7	41	—	.155/.248/.253
2027PROJMLE	19	MLBCHC	329	.193/.271/.294	5	6	61	-0.2
2028PROJ34% MLB	20	MLBCHC	57	.201/.280/.314	1	1	67	-0.1
2029PROJ48% MLB	21	MLBCHC	134	.206/.285/.328	3	3	73	-0.1

Next 3 projected WAR -0.4Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2036Service0.0First FA2037

2027MiLB2028MiLB2029MiLB2030MiLB2031Pre-Arb$0.9M2032Pre-Arb$0.9M2033Pre-Arb$0.9M2034Arb-1$3M+2

Skills · percentileMiLB Statcast 2026 Rk

ISO70

Speed67

BB%64

wRC+48

wOBA40

Chase%25

Career WAR0.0 WAR median (P10 0.0 / P90 0.0, comp-based) · star 1% · didn't stick 97%

CompsJavier Herrera (age 19) · Carlos Jimenez (age 19) · Bryan Rincon (age 19)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 117 proj PA

wRC+†61

AVG/OBP/SLG.191 / .269 / .291

PA117

HR2

K%32

BB%9

ISO101

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$6M ctrl surplus

Contract

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
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	+0.2	$0.6M	+$0.0M
2032	Pre-Arb	$0.9M	+0.5	$1M	+$0.8M
2033	Pre-Arb	$0.9M	+0.5	$1M	+$0.8M
2034	Arb-1	$3M	+0.5	$1M	+$0.0M (cut)
2035	Arb-2	$4M	+0.5	$1M	+$0.0M (cut)
2036	Arb-3	$5M	+0.4	$0.8M	+$0.0M (cut)
Totals		$3M		$6M	+$2M

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. 2027 = full-season projection (no games played yet). 2028+ 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	27	—	—	—	—	—	—
2026	18	ROK	ACL Cubs	—	219	179	43	6	4	5	38	68	0	7	1	240	372	402	774	162	355	31	17	349	41	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	17	ROK MLE	DSL Cubs Blue	—	145	122	14	4	1	1	21	51	0	9	4	115	245	189	433	74	181	35	14	208	27	—	—	—	—	—	—
2026	18	ROK MLE	ACL Cubs	—	219	194	30	4	3	3	24	98	0	7	1	155	248	253	500	98	281	45	11	229	41	—	—	—	—	—	—
2025	17	ROK MLE	DSL Cubs Blue	—	145	122	14	4	1	1	21	51	0	9	4	115	245	189	433	74	181	35	14	208	27	—	—	—	—	—	—
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	27	—	—	—	—	—	—
2026	18	ROK MLE	ACL Cubs	—	219	194	30	4	3	3	24	98	0	7	1	155	248	253	500	98	287	45	11	229	41	—	—	—	—	—	—
2026	18	ROK RAW	ACL Cubs	—	219	179	43	6	4	5	38	68	0	7	1	240	372	402	774	162	355	31	17	349	41	—	—	—	—	—	—
2025	17	ROK MLE	DSL Cubs Blue	—	145	123	14	4	1	1	21	51	0	9	4	114	245	187	432	73	181	35	14	208	27	—	—	—	—	—	—
2026	18	ROK MLE	ACL Cubs	—	219	193	30	4	3	3	24	98	0	7	1	155	248	254	502	98	281	45	11	229	41	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2025	17	ROK MLE	DSL Cubs Blue	—	145	123	14	4	1	1	21	51	0	9	4	114	245	187	432	73	181	35	14	208	27	—	—	—	—	—	—
2026	18	ROK MLE	ACL Cubs	—	219	193	30	4	3	3	24	98	0	7	1	155	248	254	502	98	281	45	11	229	41	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	19	MLB MLE	CHC	0%	329	294	57	10	3	5	30	104	2	6	2	193	271	294	565	101	275	32	9	258	61	-15	+0	-3	+4	+7	-0.2
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	20	MLB MLE	CHC	34%	165	148	29	5	1	3	15	51	1	4	1	199	278	311	589	112	278	31	9	268	67	-6	+0	-2	+2	+4	-0.2
2029	21	MLB MLE	CHC	48%	276	247	51	9	2	6	25	84	2	7	2	204	284	324	608	120	280	30	9	275	73	-9	+1	-2	+3	+6	-0.2
2030	22	MLB MLE	CHC	54%	381	340	70	12	3	8	35	113	3	9	3	208	288	335	623	127	282	30	9	281	77	-11	+1	-2	+4	+8	0.1
2031	23	MLB MLE	CHC	57%	447	399	85	15	4	10	41	131	4	11	3	212	291	344	635	133	283	29	9	286	80	-11	+1	-0	+5	+10	0.4
2032	24	MLB MLE	CHC	57%	489	437	94	16	4	12	45	141	4	12	4	215	294	351	645	137	284	29	9	290	83	-10	+1	+1	+5	+11	0.8
2033	25	MLB MLE	CHC	57%	515	458	99	17	4	13	47	148	5	13	4	215	294	353	648	138	284	29	9	291	83	-10	+1	+1	+6	+11	0.9
2034	26	MLB MLE	CHC	56%	527	469	100	17	4	13	48	152	5	13	4	215	295	354	649	139	284	29	9	292	84	-10	+1	+1	+6	+11	0.9
2035	27	MLB MLE	CHC	55%	530	471	101	17	4	13	49	153	5	13	4	214	294	352	645	138	284	29	9	290	83	-11	+1	+1	+6	+11	0.9
2036	28	MLB MLE	CHC	59%	526	469	100	17	4	13	48	153	4	12	4	212	292	347	639	135	283	29	9	288	81	-12	+1	+1	+6	+11	0.6
2037	29	MLB MLE	CHC	56%	515	459	97	17	4	12	47	152	4	11	4	210	289	341	631	131	282	30	9	284	79	-13	+1	-0	+6	+11	0.4
2038	30	MLB MLE	CHC	54%	502	448	93	16	4	11	45	149	4	10	4	207	286	334	620	127	280	30	9	280	76	-15	+0	-1	+5	+11	0.1
2028	20	MLB CTX	CHC	34%	57	52	11	2	1	1	5	18	0	1	0	201	280	314	594	114	282	32	9	270	67	-2	+0	-1	+1	+1	-0.1
2029	21	MLB CTX	CHC	48%	134	120	24	4	1	3	12	41	1	3	1	206	285	328	613	122	284	31	9	277	73	-4	+0	-1	+1	+3	-0.1
2030	22	MLB CTX	CHC	54%	207	184	39	7	2	4	19	61	2	5	1	210	290	338	628	128	285	29	9	283	77	-6	+1	-1	+2	+4	0.1
2031	23	MLB CTX	CHC	57%	253	226	48	8	2	6	23	74	2	6	2	213	293	347	640	134	287	29	9	288	80	-6	+0	-0	+3	+5	0.2
2032	24	MLB CTX	CHC	57%	276	247	52	9	2	6	25	80	2	7	2	216	296	354	649	137	288	29	9	292	83	-6	+1	+1	+3	+6	0.5
2033	25	MLB CTX	CHC	57%	291	259	57	10	3	7	27	84	3	7	2	217	296	356	652	139	288	29	9	293	83	-6	+1	+1	+3	+6	0.5
2034	26	MLB CTX	CHC	56%	298	266	58	10	3	7	27	86	3	7	2	217	296	357	653	140	288	29	9	293	84	-6	+1	+1	+3	+6	0.5
2035	27	MLB CTX	CHC	55%	294	263	57	10	3	7	27	85	2	7	2	216	295	354	650	138	288	29	9	292	83	-6	+1	+1	+3	+6	0.5
2036	28	MLB CTX	CHC	59%	311	277	59	10	3	7	28	91	3	7	2	214	293	350	643	136	287	29	9	289	81	-7	+1	+0	+3	+7	0.4
2037	29	MLB CTX	CHC	56%	288	258	55	10	2	7	26	85	2	6	2	212	291	344	635	132	285	30	9	286	79	-7	+0	-0	+3	+6	0.2
2038	30	MLB CTX	CHC	54%	271	242	51	9	2	6	25	81	2	5	2	209	287	337	624	127	284	30	9	281	76	-8	+0	-1	+3	+6	0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2680	2394	511	89	24	61	244	786	22	61	18	213	292	347	639	134	289	29	9	288	76	-64	+5	-0	+29	+58	2.8
/ 162G	—	A+C		—	650	581	125	22	6	15	59	191	5	15	4	215	293	351	644	136	291	29	9	288	76	-16	+1	-0	+7	+14	0.7
Career	—	MLE		—	5354	4765	983	169	43	120	501	1613	42	133	43	206	287	335	623	129	282	30	9	281	76	-124	+8	-3	+53	+108	4.4
/ 162G	—	MLE		—	650	578	120	21	5	15	61	196	5	16	5	208	289	339	628	131	283	30	9	281	76	-16	+1	-0	+7	+14	0.6

How the minor-league lines were translated

One row per minor-league stint. Open a row to see each step: the raw rate, the park adjustment, the league/level factor, the age adjustment (hitters) and the resulting MLE rate. Factors are the same ones listed on the MLE Factors page.

2026 ROKACL Cubs · 219 PAwOBA .342 → .229 (−114)K% 31.1% → 44.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	31.05%	÷1.000	×1.440	—	—	44.71%
BB% (unintentional) /PA	17.35%	÷1.000	×0.620	—	×1.008	10.84%
HBP% /PA	0.00%	—	×0.720	—	×1.008	0.00%
Singles /BIP	25.23%	÷1.000	×0.820	×1.000	×1.008	20.84%
Doubles /BIP	5.41%	÷1.000	×0.720	×1.000	×1.008	3.92%
Triples /BIP	3.60%	÷1.000	×0.720	×1.000	×1.008	2.61%
Home runs /BIP	4.50%	÷1.000	×0.780	—	×1.008	3.54%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 19 vs a level average of 19.5 → +0.8% on BB/HBP/hit rates (0.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.000.

Result: wOBA .342 → .229; ISO .162 → .108; BABIP .355 → .281. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2025 DSLDSL Cubs Blue · 145 PAwOBA .307 → .208 (−99)K% 29.0% → 35.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	28.97%	÷1.001	×1.220	—	—	35.31%
BB% (unintentional) /PA	20.69%	÷1.006	×0.700	—	×1.008	14.50%
HBP% /PA	0.00%	—	×0.700	—	×1.008	0.00%
Singles /BIP	16.90%	÷1.016	×0.680	×0.999	×1.008	11.38%
Doubles /BIP	8.45%	÷0.928	×0.600	×0.999	×1.008	5.50%
Triples /BIP	2.82%	÷1.038	×0.600	×0.999	×1.008	1.64%
Home runs /BIP	1.41%	÷0.926	×0.470	—	×1.008	0.72%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 85, 1B 103, 2B 86, 3B 108, K 100, BB 101 — applied at half strength. Age: age 18 vs a level average of 18.5 → +0.8% on BB/HBP/hit rates (0.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.999.

Result: wOBA .307 → .208; ISO .115 → .070; BABIP .278 → .181. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

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
#2Dick Schofield'83-'96 * career totals — 12 seasons, 4,928 PA	7.4	4,928	56	120	227*	307*	330*	+52	+19	9.4	10.0
/162	664	8	16	+7.1	+2.5	1.3	pk7: 11
#3Alex Gonzalez'94-'06 * career totals — 12 seasons, 5,528 PA	8.3	5,528	137	97	232*	290*	379*	+55	+6	8.3	10.0
/162	664	16	12	+6.6	+0.8	1.0	pk7: 12
#4Gordon 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
#5Chris Owingslast yr '22 career totals — 9 seasons, 2,420 PA	3.6	2,420	35	78	239	286	365	+13	-0	3.7	4.5
/162	664	10	21	+3.6	-0.1	1.0	pk7: 5
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 7 projected seasons	4.2	2,796	65	64	212	288	344	+30	+7	4.3	4.0
/162	664	15	15	+7.1	+1.7	1.0	pk7: 4
#6Frank Duffy'70-'79 * career totals — 7 seasons, 2,924 PA	4.4	2,924	26	49	234*	283*	348*	+30	-2	0.9	2.1
/162	664	6	11	+6.7	-0.5	0.2	pk7: 3

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)	19	—	—	—	—	191/269/291	101	275	2	2	32%	9%	61	-0.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Javier Herrera 2024 · A	19	38	39→40	51→55	45	184/262/268	84	272	6	10	32%	9%	53	-2.1	204/298/290	86	279	5	15	26%	11%	71	-0.8	210/307/297	87	289	5	18	26%	11%	74	-0.2
✕Carlos Jimenez 2022 · A	19	36→44	39→50	53→55	48	177/265/262	85	249	7	11	30%	9%	53	-2.1	194/283/299	105	299	9	16	34%	10%	68	-1.0	223/303/376	153	308	17	18	31%	10%	89	+0.4
●Bryan Rincon 2023 · A	19	42→47	45	53→55	45	210/280/332	122	276	12	11	28%	8%	74	-0.6	194/285/295	101	272	9	22	29%	10%	68	-1.0	192/290/337	145	263	17	31	32%	11%	77	-0.2
✕Thayron Liranzo 2022 · A	19	43	37→50	49→30	47	202/280/280	77	287	4	8	29%	9%	62	-1.4	208/291/366	158	303	18	3	35%	10%	86	+0.3	203/298/375	172	290	20	1	35%	11%	87	+0.2
✕Dalton Pompey 2012 · A	19	39→49	41→45	56→55	45	194/267/288	94	272	9	17	30%	8%	59	-1.6	221/287/321	100	309	7	21	28%	8%	73	-0.6	269/328/372	103	341	7	29	22%	7%	97	+0.9
✕Allan Castro 2023 · A	20	37→45	40→45	54→50	42	182/250/279	97	263	6	9	32%	7%	50	-2.3	207/280/322	115	282	9	13	28%	9%	71	-0.8	209/284/324	115	280	10	14	27%	9%	71	-0.6
✕Jonathan Mejía 2024 · A	19	35	39→45	52→50	47	168/269/256	88	264	6	9	35%	10%	53	-2.1	183/267/281	98	305	9	15	39%	9%	58	-1.7	169/262/280	111	278	11	16	40%	10%	54	-0.9
✕Juan Villavicencio 2024 · A	19	36→44	38→50	51→55	47	174/251/254	80	234	5	13	26%	8%	45	-2.7	189/262/280	91	279	7	14	32%	8%	55	-1.9	193/266/307	113	285	10	20	34%	8%	61	-0.6
✕Juan Matheus 2023 · A	19	40→46	40→45	50→55	58	188/306/284	96	264	6	16	28%	14%	74	-0.5	205/300/295	90	282	5	20	26%	11%	74	-0.6	219/288/322	102	278	9	23	23%	8%	72	-0.5
✕Robel García 2012 · A	19	38→37	43→50	53→40	43	185/259/306	120	281	9	9	35%	8%	60	-1.6	188/256/279	91	287	6	5	34%	8%	52	-2.2	188/259/372	183	269	25	2	39%	8%	74	-0.3
✕Brainer Bonaci 2022 · A	20	40→46	38→45	53→50	43	192/253/278	86	262	5	13	27%	7%	51	-2.3	219/294/329	110	303	9	13	28%	9%	78	-0.3	221/301/335	114	300	11	14	28%	10%	80	-0.1
✕Welbyn Francisca 2024 · A	18	44→41	39→45	50→55	48	208/283/300	92	277	5	12	25%	8%	68	-1.0	228/294/332	104	296	9	20	24%	8%	78	-0.3	225/294/339	114	289	12	24	25%	9%	78	-0.2
✕Jansel Luis 2024 · A	19	44→54	41→45	53→55	41	216/268/318	101	271	9	14	23%	5%	65	-1.2	239/284/354	115	319	8	16	26%	5%	79	-0.2	249/291/371	122	332	9	19	27%	4%	83	+0.1
✕Jett Williams 2023 · A	19	45→48	41→50	56→55	44	216/287/317	101	287	8	14	26%	7%	73	-0.6	213/317/337	124	303	10	23	29%	12%	90	+0.6	212/316/350	138	296	11	26	29%	12%	89	+0.4
✕Adrian Placencia 2022 · A	19	36→41	41→45	49→50	43	175/264/274	99	286	9	7	39%	10%	55	-1.9	190/287/302	112	323	11	12	40%	11%	70	-0.8	182/285/292	110	310	12	13	41%	11%	64	-1.0
✕Flemin Bautista 2019 · A	19	40	39→50	53→50	48	190/272/277	86	271	6	13	30%	10%	58	-1.7	185/253/292	107	294	10	10	38%	8%	55	-2.0	153/225/259	106	244	11	7	40%	8%	35	-1.2
✕Arismendy Alcántara 2011 · A	19	41→51	37→55	57→55	47	196/252/275	79	246	4	14	22%	7%	49	-2.4	237/271/333	96	314	7	15	25%	4%	69	-0.9	241/284/391	150	317	14	25	28%	5%	86	+0.3
✕Jonatan Clase 2021 · A	19	44→48	37→50	54→65	53	203/294/283	80	276	3	19	25%	11%	68	-1.0	206/284/334	128	307	12	34	34%	9%	76	-0.4	210/288/361	151	303	15	47	33%	9%	81	-0.0
✕Jose Acosta 2019 · A	19	37	36→45	53→55	50	177/255/242	65	229	3	14	23%	9%	44	-2.8	224/287/320	96	315	6	19	28%	7%	73	-0.6	208/269/327	119	312	11	21	35%	6%	65	-0.5
✕Rosell Herrera 2012 · A	19	40→50	38→45	48→55	44	196/254/277	80	254	6	9	24%	6%	51	-2.3	225/276/310	85	304	7	10	27%	6%	65	-1.2	253/308/344	91	321	4	24	21%	7%	84	+0.1

Juan Tomas

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps