Marcos Mateo

SS DSL Cubs Red

Age 18 R/R ROK Svc 0.0 · Ctrl thru 2038

Overview

ROKPROSPECTMiLBFA 2039

ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2026	17	ROKDSL Cubs Red	54	.225/.415/.325	0	2	49	—	.163/.321/.233
2027PROJ0% MLB	18	MLB—	164	.203/.292/.284	1	2	67	0.0
2028PROJ34% MLB	19	MLB—	52	.207/.297/.295	0	1	71	0.0
2029PROJ48% MLB	20	MLB—	144	.211/.301/.305	1	2	75	0.0

Next 3 projected WAR 0.1Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2038Service0.0First FA2039

2027MiLB2028MiLB2029MiLB2030MiLB2031MiLB2032MiLB2033Pre-Arb$0.9M2034Pre-Arb$1.0M+4

Skills · percentileMiLB Statcast 2026 Rk

BB%59

wOBA56

Chase%54

wRC+53

Z-Con%42

ISO41

Career WAR0 WAR median (P10 0 / P90 0, comp-based) · star 0% · didn't stick 100%

CompsAlejandro Selen (age 18) · Yunior Garcia (age 18) · Marco Guzman (age 18)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 58 proj PA

wRC+67

AVG/OBP/SLG.201 / .290 / .281

PA58

HR0

K%29

BB%9

ISO81

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$14M ctrl surplus

Tools · Contract

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

Status MiLB

MLB Debut 2033

Service 0 yrs (est)

Team Control Through 2038

First FA Year 2039

Year	Status	Salary	Proj WAR	Value	Surplus
2027	MiLB	still in minors · estimated debut 2033
2028	MiLB	still in minors · estimated debut 2033
2029	MiLB	still in minors · estimated debut 2033
2030	MiLB	still in minors · estimated debut 2033
2031	MiLB	still in minors · estimated debut 2033
2032	MiLB	still in minors · estimated debut 2033
2033	Pre-Arb	$0.9M	+0.5	$1M	+$0.8M
2034	Pre-Arb	$1.0M	+0.5	$1M	+$0.7M
2035	Pre-Arb	$1.0M	+0.5	$1M	+$0.7M
2036	Arb-1	$3M	+0.5	$1M	+$0.0M
2037	Arb-2	$4M	+0.3	$0.6M	+$0.0M (cut)
2038	Arb-3	$4M	+0.2	$0.3M	+$0.0M (cut)
Totals		$5M		$5M	+$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 = actual YTD + projected ROS + total. 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)
2026	17	ROK	DSL Cubs Red	—	54	40	9	4	0	0	9	14	4	2	3	225	415	325	740	100	333	26	17	350	49	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2026	17	ROK MLE	DSL Cubs Red	—	54	43	7	3	0	0	6	17	4	2	3	163	321	233	553	70	215	31	11	241	49	—	—	—	—	—	—
2026	17	ROK MLE	DSL Cubs Red	—	54	43	7	3	0	0	6	17	4	2	3	163	321	233	553	70	259	31	11	241	49	—	—	—	—	—	—
2026	17	ROK RAW	DSL Cubs Red	—	54	40	9	4	0	0	9	14	4	2	3	225	415	325	740	100	333	26	17	350	49	—	—	—	—	—	—
2026	17	ROK MLE	DSL Cubs Red	—	54	44	7	3	0	0	6	17	4	2	3	159	321	227	548	68	215	31	11	241	49	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2026	17	ROK MLE	DSL Cubs Red	—	54	44	7	3	0	0	6	17	4	2	3	159	321	227	548	68	215	31	11	241	49	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	18	MLB MLE	—	0%	164	145	29	7	1	1	14	47	4	2	1	203	292	284	576	81	290	29	9	267	67	-6	+0	+0	+2	+4	0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	19	MLB MLE	—	34%	150	132	28	7	1	1	13	42	4	2	1	207	297	295	592	88	292	28	9	274	71	-5	+0	+0	+2	+3	-0.0
2029	20	MLB MLE	—	48%	298	262	56	13	2	3	26	83	8	5	2	211	301	305	607	94	294	28	9	279	75	-9	+0	+0	+3	+6	0.1
2030	21	MLB MLE	—	54%	412	362	78	18	2	5	36	113	11	7	2	214	304	315	619	100	294	27	9	284	78	-11	+1	+0	+4	+9	0.3
2031	22	MLB MLE	—	57%	493	434	95	22	3	6	43	133	13	8	3	217	307	323	629	106	295	27	9	288	81	-11	+0	+0	+5	+11	0.5
2032	23	MLB MLE	—	58%	548	481	106	24	3	8	48	147	14	9	3	220	308	330	638	110	296	27	9	291	83	-11	+1	+0	+6	+12	0.8
2033	24	MLB MLE	—	57%	584	513	113	26	3	8	51	156	15	9	4	221	309	333	642	112	297	27	9	293	84	-11	+0	+0	+6	+13	0.8
2034	25	MLB MLE	—	57%	606	533	118	27	3	9	53	162	15	10	4	221	310	334	643	113	297	27	9	293	85	-11	+0	+0	+6	+13	0.9
2035	26	MLB MLE	—	57%	617	542	119	27	3	9	54	165	16	9	4	221	309	335	644	113	296	27	9	294	85	-11	+0	+0	+7	+13	0.9
2036	27	MLB MLE	—	55%	619	544	119	27	3	9	54	166	16	9	4	220	309	332	641	112	296	27	9	292	84	-12	+0	+0	+7	+13	0.9
2037	28	MLB MLE	—	55%	616	542	119	27	3	9	54	167	15	7	3	218	307	327	634	109	295	27	9	290	82	-13	+0	-1	+7	+13	0.7
2038	29	MLB MLE	—	53%	607	534	115	26	3	8	53	166	15	5	3	216	304	321	625	105	294	27	9	286	80	-15	-0	-1	+7	+13	0.4
2039	30	MLB MLE	—	57%	597	527	113	26	3	7	51	165	14	3	2	213	301	314	615	101	292	28	9	282	77	-16	-0	-2	+6	+13	0.1
2040	31	MLB MLE	—	60%	583	514	108	25	3	6	50	164	14	2	2	209	296	305	600	95	290	28	9	276	73	-19	-0	-3	+6	+13	-0.3
2028	19	MLB CTX	—	34%	52	47	9	2	0	0	4	15	1	1	0	207	297	295	592	88	292	29	8	274	71	-2	+0	+0	+1	+1	0.0
2029	20	MLB CTX	—	48%	144	127	26	6	1	1	12	40	4	2	1	211	301	305	607	94	294	28	8	279	75	-4	+0	+0	+2	+3	0.0
2030	21	MLB CTX	—	54%	223	196	42	10	1	2	19	61	6	4	1	214	304	315	619	100	294	27	9	284	78	-6	+0	+0	+2	+5	0.2
2031	22	MLB CTX	—	57%	279	246	54	12	2	4	24	75	7	4	2	217	307	323	629	106	295	27	9	288	81	-6	+0	+0	+3	+6	0.3
2032	23	MLB CTX	—	58%	316	278	61	14	2	4	27	85	8	5	2	220	308	330	638	110	296	27	9	291	83	-6	+0	+0	+3	+7	0.4
2033	24	MLB CTX	—	57%	333	293	65	15	2	5	29	89	8	5	2	221	309	333	642	112	297	27	9	293	84	-6	+0	+0	+4	+7	0.5
2034	25	MLB CTX	—	57%	344	302	67	15	2	5	30	92	9	5	2	221	310	334	643	113	297	27	9	293	85	-6	+0	+0	+4	+7	0.5
2035	26	MLB CTX	—	57%	349	307	67	15	2	5	30	93	9	5	2	221	309	335	644	113	296	27	9	294	85	-6	+0	+0	+4	+8	0.5
2036	27	MLB CTX	—	55%	343	301	67	15	2	5	30	92	9	5	2	220	309	332	641	112	296	27	9	292	84	-7	+0	+0	+4	+7	0.5
2037	28	MLB CTX	—	55%	338	298	66	15	2	5	29	92	8	4	2	218	307	327	634	109	295	27	9	290	82	-7	+0	-0	+4	+7	0.3
2038	29	MLB CTX	—	53%	325	286	62	14	2	4	28	89	8	3	2	216	304	321	625	105	294	27	9	286	80	-8	-0	-1	+3	+7	0.2
2039	30	MLB CTX	—	57%	341	301	65	15	2	4	29	94	8	1	1	213	301	314	615	101	292	28	9	282	77	-9	-0	-1	+4	+7	0.0
2040	31	MLB CTX	—	60%	347	306	65	15	2	4	30	97	8	1	1	209	296	305	600	95	290	28	9	276	73	-11	-0	-2	+4	+8	-0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	3734	3288	716	163	22	48	321	1014	93	45	20	218	305	325	630	107	297	27	9	288	80	-85	+1	-4	+40	+81	3.4
/ 162G	—	A+C		—	650	572	124	28	4	8	56	177	16	8	3	217	304	322	626	105	297	27	9	288	80	-15	+0	-1	+7	+14	0.6
Career	—	MLE		—	6842	6014	1304	301	35	88	597	1863	176	88	40	217	306	322	628	106	297	27	9	287	80	-156	+2	-7	+73	+147	6.0
/ 162G	—	MLE		—	650	571	124	29	3	8	57	177	17	8	4	217	307	320	627	103	298	27	9	287	80	-15	+0	-1	+7	+14	0.6

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
#3Cliff Penningtonlast yr '17 career totals — 10 seasons, 3,108 PA	4.7	3,108	36	84	243	310	341	+28	+29	9.2	9.5
/162	664	8	18	+5.9	+6.2	2.0	pk7: 10
#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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 8 projected seasons	5.7	3,792	50	47	218	303	324	+41	+24	6.0	5.4
/162	664	9	8	+7.1	+4.2	1.1	pk7: 5
#5George Strickland'50-'60 * career totals — 8 seasons, 3,266 PA	4.9	3,266	36	12	219*	302*	329*	+28	+19	3.8	5.0
/162	664	7	2	+5.7	+3.8	0.8	pk7: 6
#6Lena Blackburne'10-'27 * career totals — 5 seasons, 2,086 PA	3.1	2,086	4	54	215*	288*	334*	+13	+11	2.0	2.0
/162	664	1	17	+4.2	+3.4	0.6	pk7: 2

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
Marcos Mateo (OGILVIE)	18	—	—	—	—	201/290/281	80	290	0	1	29%	9%	67	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Alejandro Selen 2007 · A	18	38	35→50	51→30	44	178/255/240	62	263	2	11	30%	8%	44	-2.8	195/253/267	72	248	4	7	22%	6%	49	-2.4	220/256/360	140	315	15	1	34%	3%	68	-0.4
✕Yunior Garcia 2019 · A	18	35→45	40→45	52→30	43	176/241/269	92	235	7	10	27%	7%	45	-2.7	192/242/291	99	291	9	7	36%	5%	49	-2.4	228/278/346	118	323	12	2	32%	5%	72	-0.3
✕Marco Guzman 2013 · A	18	36	35→50	46→50	50	171/258/234	63	226	2	8	23%	9%	44	-2.8	181/253/251	70	223	3	7	19%	8%	45	-2.7	218/259/314	97	279	5	8	23%	5%	59	-0.6
✕Juan Alonso 2022 · A	18	40→37	36→40	43→50	42	189/253/255	66	268	3	10	29%	7%	45	-2.7	186/285/263	77	351	4	9	43%	10%	61	-1.5	162/274/240	78	346	5	7	47%	10%	51	-1.0
✕Victor Cardoza 2024 · A	18	40	37→40	50	41	188/264/265	77	274	3	11	31%	7%	53	-2.1	195/247/286	91	301	7	13	36%	5%	51	-2.3	191/238/278	88	304	8	14	38%	5%	43	-1.0
✕Wilfredo Lara 2022 · A	18	38→43	38→45	47→50	41	184/249/267	83	259	5	8	30%	6%	47	-2.5	191/262/285	94	274	7	12	31%	7%	56	-1.9	192/267/292	99	268	9	14	30%	8%	57	-1.0
✕Jean Selmo 2018 · A	18	37	38→40	53→45	42	178/244/257	79	264	5	8	33%	7%	43	-2.8	187/256/268	81	287	4	8	33%	8%	49	-2.4	189/276/283	93	254	3	8	24%	10%	59	-0.6
✕Yairo Muñoz 2013 · A	18	40→50	36→50	48→55	43	188/243/263	75	253	2	8	26%	6%	43	-2.8	202/253/287	85	259	6	7	23%	6%	53	-2.1	265/303/396	131	322	14	17	22%	4%	96	+0.6
✕Jose Meza 2022 · A	19	39→42	37→40	46→50	43	187/268/261	74	272	4	9	30%	7%	54	-2.0	196/281/287	91	276	8	7	29%	9%	64	-1.3	191/284/291	101	272	10	5	31%	10%	65	-0.5
✕Mariel Bautista 2016 · A	18	39→36	37→40	50	43	187/252/262	75	256	4	8	27%	7%	47	-2.6	212/263/294	82	263	5	14	20%	5%	58	-1.7	223/269/315	92	265	7	18	18%	4%	63	-0.5
✕Anthony García 2010 · A	18	44→48	37→55	49→45	41	207/266/286	79	287	4	8	28%	6%	57	-1.8	226/296/366	140	282	14	5	24%	7%	88	+0.4	226/292/403	176	286	19	3	27%	6%	92	+0.3
✕Emilio King 2008 · A	18	38	38→45	44→40	39	186/244/267	81	261	5	5	29%	5%	45	-2.7	178/249/247	69	246	3	7	27%	6%	43	-2.8	204/256/296	92	295	6	4	31%	4%	53	-0.9
✕Arnaldo Lantigua 2024 · A	18	37→43	42→50	47→40	47	184/259/284	100	247	10	8	28%	9%	55	-1.9	194/272/317	123	257	13	6	28%	9%	68	-1.0	193/275/323	131	258	14	4	29%	9%	68	-0.6
✕Marcus Wilson 2015 · A	18	39→49	36→50	48→50	38	184/244/251	67	300	4	8	38%	7%	41	-3.0	204/270/284	80	317	5	10	34%	8%	59	-1.7	217/286/315	97	318	7	11	31%	8%	69	-0.4
✕Eliezer Álvarez 2013 · A	18	36→46	36→45	46→55	50	172/250/236	63	219	4	11	22%	8%	40	-3.0	203/255/297	94	259	5	11	22%	6%	55	-1.9	254/307/364	110	341	6	19	26%	6%	88	+0.3
✕Jose Alpuria 2023 · A	18	37	36→55	48→55	41	169/261/231	61	287	3	9	38%	8%	45	-2.7	177/265/238	61	280	4	19	35%	7%	49	-2.4	199/293/313	114	306	10	25	35%	7%	73	-0.3
✕Bryan Andrade 2023 · A	18	39→40	35→45	49→50	46	185/256/239	54	239	2	5	22%	7%	43	-2.8	184/246/235	51	247	2	4	25%	7%	38	-3.2	190/256/267	77	252	7	6	26%	7%	48	-1.1
✕Riley Unroe 2015 · A	19	39→47	37→45	47→55	46	189/257/263	74	257	4	8	27%	8%	49	-2.4	200/264/264	64	286	4	10	29%	8%	51	-2.2	218/301/329	112	292	11	26	27%	10%	78	-0.1
✕Allan Castro 2022 · A	19	36→45	37→45	50	44	175/249/259	84	244	3	6	28%	7%	46	-2.6	195/267/304	109	273	8	11	29%	8%	62	-1.4	209/284/324	115	280	10	14	27%	9%	71	-0.6
✕Alberth Palma 2024 · A	18	40→46	36→30	44→55	43	192/242/254	63	253	3	7	25%	6%	40	-3.0	209/283/254	45	257	1	19	17%	8%	57	-1.8	213/298/242	29	264	0	25	17%	10%	58	-0.9

Marcos Mateo

Career Stats + Projections

Career Comps

Career Path Comps