Ezequiel Pena

SS ACL Cubs

Age 20 L/R 6'0" / 165 lbs ROK HR -8% 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
2025	18	ROKDSL Cubs Blue	143	.327/.469/.381	0	17	71	—	.221/.336/.262
2026	19	ACHC	32	.172/.250/.172	0	3	-3	—	.133/.188/.133
2026	19	ROKCHC	94	.293/.383/.366	1	1	47	—	.207/.266/.264
2027PROJ0% MLB	20	MLBCHC	236	.213/.282/.292	2	5	64	0.0
2028PROJ34% MLB	21	MLBCHC	76	.219/.289/.310	1	2	69	0.0
2029PROJ48% MLB	22	MLBCHC	166	.223/.293/.322	2	4	74	0.1

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

Z-Con%71

Whiff%52

wRC+47

wOBA39

BB%32

K%28

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

CompsYoyner Fajardo (age 20) · Raynel Delgado (age 21) · Darwin Perez (age 20)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 123 proj PA

wRC+†64

AVG/OBP/SLG.211 / .280 / .289

PA123

HR1

K%28

BB%8

ISO79

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$11M ctrl surplus

Tools · ContractCON 57 / POW 35

Toolsscout grade

CONTACT57

scouting grade only

POWER35

scouting grade only

EYE65

scouting grade only

SPEED61

scouting grade only

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	+0.4	$1M	+$0.5M
2034	Pre-Arb	$1.0M	+0.3	$0.7M	+$0.2M
2035	Pre-Arb	$1.0M	+0.2	$0.4M	+$0.0M
2036	Arb-1	$1M	+0.1	$0.2M	+$0.0M (cut)
2037	Arb-2	$1M	—	—	—
2038	Ext	beyond projection horizon · no WAR estimate
Totals		$3M		$2M	+$0.8M

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)
2024	17	ROK	DSL Cubs Red	—	130	116	30	6	1	0	12	31	1	13	2	259	333	328	661	69	349	24	9	302	17	—	—	—	—	—	—
2025	18	ROK	DSL Cubs Blue	—	143	113	37	4	1	0	28	12	2	17	2	327	469	381	849	53	366	8	20	397	71	—	—	—	—	—	—
2026	19	A	Myrtle Beach Pelicans	—	32	29	5	0	0	0	3	8	0	3	0	172	250	172	422		238	25	9	207	-3	—	—	—	—	—	—
2026	19	ROK	ACL Cubs	—	94	82	24	3	0	1	12	25	0	1	5	293	383	366	749	73	411	27	13	345	47	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	17	ROK MLE	DSL Cubs Red	—	130	120	20	4	1	0	8	39	1	13	2	167	225	217	441	50	234	30	6	193	17	—	—	—	—	—	—
2025	18	ROK MLE	DSL Cubs Blue	—	143	122	27	3	1	0	19	15	2	17	2	221	336	262	598	41	245	10	13	273	71	—	—	—	—	—	—
2026	19	A MLE	Myrtle Beach Pelicans	—	32	30	4	0	0	0	2	11	0	3	0	133	188	133	321		226	34	6	164	-3	—	—	—	—	—	—
2026	19	ROK MLE	ACL Cubs	—	94	87	18	2	0	1	7	36	0	1	5	207	266	264	530	57	345	38	7	238	47	—	—	—	—	—	—
2024	17	ROK MLE	DSL Cubs Red	—	130	120	20	4	1	0	8	39	1	13	2	167	225	217	441	50	244	30	6	193	17	—	—	—	—	—	—
2024	17	ROK RAW	DSL Cubs Red	—	130	116	30	6	1	0	12	31	1	13	2	259	333	328	661	69	349	24	9	302	17	—	—	—	—	—	—
2025	18	ROK MLE	DSL Cubs Blue	—	143	122	27	3	1	0	19	15	2	17	2	221	336	262	598	41	252	10	13	273	71	—	—	—	—	—	—
2025	18	ROK RAW	DSL Cubs Blue	—	143	113	37	4	1	0	28	12	2	17	2	327	469	381	849	53	366	8	20	397	71	—	—	—	—	—	—
2026	19	ROK MLE	2 teams	—	126	116	22	2	0	1	10	47	0	4	5	190	254	233	487	43	309	37	8	219	35	—	—	—	—	—	—
2026	19	ROK RAW	2 teams	—	126	111	29	3	0	1	15	33	0	4	5	261	349	315	665	54	364	26	12	310	35	—	—	—	—	—	—
2024	17	ROK MLE	DSL Cubs Red	—	130	120	20	4	1	0	8	39	1	13	2	167	225	217	441	50	234	30	6	193	17	—	—	—	—	—	—
2025	18	ROK MLE	DSL Cubs Blue	—	143	121	27	3	1	0	19	15	2	17	2	223	336	264	600	41	245	10	13	273	71	—	—	—	—	—	—
2026	19	ROK MLE	2 teams	—	126	115	22	2	0	1	10	47	0	4	5	191	254	235	489	43	315	37	8	219	35	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	17	ROK MLE	DSL Cubs Red	—	130	120	20	4	1	0	8	39	1	13	2	167	225	217	441	50	234	30	6	193	17	—	—	—	—	—	—
2025	18	ROK MLE	DSL Cubs Blue	—	143	121	27	3	1	0	19	15	2	17	2	223	336	264	600	41	245	10	13	273	71	—	—	—	—	—	—
2026	19	ROK MLE	2 teams	—	126	115	22	2	0	1	10	47	0	4	5	191	254	235	489	43	315	37	8	219	35	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	20	MLB MLE	CHC	0%	236	213	44	7	1	2	19	66	2	5	1	213	282	292	574	79	292	28	8	262	64	-10	+1	+0	+3	+5	0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	21	MLB MLE	CHC	34%	222	200	43	7	1	3	18	61	2	5	1	217	287	307	594	90	293	27	8	271	69	-8	+1	+0	+2	+5	-0.0
2029	22	MLB MLE	CHC	48%	343	309	68	11	2	5	28	92	3	9	2	221	291	319	610	98	294	27	8	277	74	-11	+1	+0	+4	+7	0.1
2030	23	MLB MLE	CHC	54%	423	382	86	14	3	7	34	112	4	11	2	224	294	328	622	104	295	26	8	282	77	-12	+1	+0	+5	+9	0.4
2031	24	MLB MLE	CHC	55%	476	430	97	16	3	8	39	125	4	12	3	226	297	335	632	109	296	26	8	286	80	-12	+1	+0	+5	+10	0.5
2032	25	MLB MLE	CHC	56%	506	454	103	17	3	9	42	132	5	13	3	227	298	340	639	113	296	26	8	288	81	-11	+1	+0	+5	+11	0.7
2033	26	MLB MLE	CHC	56%	522	469	107	18	3	10	43	136	5	13	3	227	298	341	639	113	295	26	8	288	81	-12	+1	+0	+6	+11	0.7
2034	27	MLB MLE	CHC	55%	528	474	108	18	3	10	44	138	5	13	3	226	298	338	636	112	295	26	8	287	80	-12	+1	+0	+6	+11	0.6
2035	28	MLB MLE	CHC	55%	527	475	106	17	3	9	43	139	4	12	3	225	296	334	629	109	294	26	8	285	79	-13	+1	-1	+6	+11	0.4
2036	29	MLB MLE	CHC	53%	520	468	105	17	3	9	43	139	4	11	3	222	293	328	621	105	293	27	8	281	76	-15	+1	-1	+6	+11	0.2
2037	30	MLB MLE	CHC	53%	511	461	101	16	3	8	41	138	4	10	3	220	290	321	610	101	292	27	8	277	73	-16	+1	-2	+5	+11	-0.1
2028	21	MLB CTX	CHC	34%	76	69	15	2	1	1	6	21	1	2	0	219	289	310	599	91	297	28	8	273	69	-3	+0	+0	+1	+2	0.0
2029	22	MLB CTX	CHC	48%	166	151	32	5	1	2	13	45	1	4	1	223	293	322	615	99	298	27	8	279	74	-5	+0	+0	+2	+4	0.1
2030	23	MLB CTX	CHC	54%	229	206	48	8	2	4	19	61	2	6	1	225	296	331	627	105	298	27	8	284	77	-6	+1	+0	+2	+5	0.2
2031	24	MLB CTX	CHC	55%	264	238	54	9	2	4	22	69	2	7	1	228	299	338	637	110	299	26	8	288	80	-6	+1	+0	+3	+6	0.3
2032	25	MLB CTX	CHC	56%	283	255	59	10	2	5	23	74	3	7	2	229	300	343	643	114	299	26	8	290	81	-6	+1	+0	+3	+6	0.4
2033	26	MLB CTX	CHC	56%	294	265	60	10	2	5	24	77	3	7	2	229	300	343	643	114	299	26	8	290	81	-7	+1	+0	+3	+6	0.4
2034	27	MLB CTX	CHC	55%	292	263	60	10	2	5	24	76	3	7	2	228	299	341	640	113	298	26	8	289	80	-7	+1	+0	+3	+6	0.3
2035	28	MLB CTX	CHC	55%	289	261	59	10	2	5	24	76	2	7	2	226	297	336	634	110	297	26	8	286	79	-7	+1	-0	+3	+6	0.2
2036	29	MLB CTX	CHC	53%	278	251	57	9	2	5	23	74	2	6	2	224	295	330	625	106	296	27	8	283	76	-8	+0	-1	+3	+6	0.1
2037	30	MLB CTX	CHC	53%	269	243	54	9	2	4	22	73	2	5	2	221	291	323	614	102	295	27	8	278	73	-8	+0	-1	+3	+6	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2440	2202	498	82	18	40	200	646	21	58	15	226	297	334	631	108	300	26	8	285	75	-64	+6	-2	+26	+53	1.9
/ 162G	—	A+C		—	650	587	133	22	5	11	53	172	6	15	4	227	297	337	635	111	300	26	8	285	75	-17	+1	-1	+7	+14	0.5
Career	—	MLE		—	5100	4591	1017	164	30	80	422	1347	44	146	36	222	293	323	616	101	294	26	8	278	75	-127	+12	-4	+50	+102	3.4
/ 162G	—	MLE		—	650	585	130	21	4	10	54	172	6	19	5	222	295	323	618	101	296	26	8	278	75	-18	+2	-1	+7	+14	0.5

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
#2Cliff 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
#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
#4George 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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 6 projected seasons	3.9	2,563	43	61	225	292	331	+27	+18	3.6	3.4
/162	664	11	16	+7.1	+4.7	0.9	pk7: 3
#5Lennie Merullo'41-'47 * career totals — 6 seasons, 2,264 PA	3.4	2,264	6	38	234*	283*	339*	+24	+15	3.3	3.3
/162	664	2	11	+7.1	+4.4	1.0	pk7: 3
#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
Ezequiel Pena (OGILVIE)	20	52→57	30→35	56→61	65	211/280/289	79	292	1	3	28%	8%	64	-0.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Yoyner Fajardo 2019 · A	20	46→56	37→40	57→60	51	211/279/293	82	248	2	14	16%	8%	63	-1.3	227/286/295	68	281	2	19	19%	6%	67	-1.1	260/318/350	90	329	5	34	21%	7%	87	+0.2
✕Raynel Delgado 2021 · A	21	47→56	37→40	50→60	42	220/272/295	75	312	4	9	30%	7%	61	-1.5	203/267/292	89	295	7	14	31%	7%	59	-1.6	246/311/338	92	338	7	32	27%	8%	82	+0.0
✕Darwin Perez 2009 · A	20	44→53	36→40	54→50	46	203/275/276	73	292	3	10	29%	9%	59	-1.7	231/292/302	71	324	3	12	27%	8%	70	-0.8	238/302/305	67	328	3	14	26%	8%	72	-0.6
✕Alberto Rodriguez 2021 · A	20	42→52	38→50	52→50	44	203/259/282	79	268	5	14	25%	7%	53	-2.1	228/290/353	125	327	10	8	31%	7%	82	-0.0	228/292/360	132	326	11	7	31%	7%	81	-0.1
✕Jean Carlos Sio 2024 · A	20	41→51	36→45	51→50	51	192/268/258	66	238	4	13	20%	9%	52	-2.2	221/300/315	94	287	8	11	24%	8%	78	-0.3	224/303/331	107	289	11	12	25%	8%	79	-0.2
✕Eliezer Álvarez 2015 · A	20	42→52	40→45	53→55	45	203/259/306	103	252	5	11	21%	6%	59	-1.7	244/293/351	107	321	5	15	24%	6%	82	-0.0	254/307/364	110	341	6	19	26%	6%	88	+0.3
✕Gilberto Celestino 2019 · A	20	43→53	38→45	52→55	42	209/257/289	80	280	6	12	27%	6%	54	-2.0	226/281/328	102	291	8	8	24%	7%	72	-0.7	239/317/316	76	309	5	10	22%	9%	81	-0.0
✕Forrest Wall 2016 · A	20	48→55	42→45	58→70	46	229/285/342	114	291	8	18	24%	7%	77	-0.3	223/277/319	96	299	8	18	26%	6%	69	-0.9	250/321/350	101	344	8	50	27%	8%	89	+0.3
✕Tito Polo 2015 · A	20	43→53	39→45	54→60	42	206/268/296	90	278	5	17	27%	6%	61	-1.5	222/276/320	98	295	8	26	26%	5%	69	-0.9	235/290/350	114	311	11	32	27%	5%	78	-0.2
✕Luis Durango 2023 · A	20	45	35→30	53→70	48	209/290/266	57	271	3	24	22%	8%	63	-1.4	216/288/274	58	294	2	32	25%	6%	63	-1.3	249/303/294	44	325	0	54	21%	4%	68	-0.3
✕Matt Cerda 2010 · A	20	43→53	38→40	50→40	46	207/264/285	78	263	6	6	23%	7%	56	-1.9	239/314/318	79	300	3	4	19%	10%	82	+0.0	241/325/315	74	303	3	4	19%	11%	84	+0.1
✕Ty Morrison 2010 · A	20	46→54	37→40	52→55	39	211/272/285	73	321	5	16	34%	6%	59	-1.6	224/275/311	87	332	4	26	32%	5%	65	-1.2	234/284/321	88	335	3	28	29%	5%	67	-0.8
✕Magneuris Sierra 2016 · A	20	48→58	36→40	50→60	39	227/265/293	66	305	4	13	26%	5%	57	-1.8	245/275/313	68	324	3	16	24%	4%	65	-1.2	231/275/306	76	302	5	32	24%	5%	63	-0.6
✕Carlos Rodríguez 2022 · A	21	49→59	36→40	50→55	44	227/280/296	68	311	2	14	26%	7%	64	-1.3	245/301/329	84	310	4	15	21%	7%	80	-0.2	265/323/349	84	315	3	16	16%	7%	89	+0.3
✕Yeniel Laboy 2024 · A	20	43	37→30	52→45	47	200/283/268	68	287	5	8	29%	9%	61	-1.5	199/274/263	64	285	4	7	29%	8%	55	-1.9	166/248/183	18	241	0	3	28%	9%	26	-1.3
✕Jorge Barrosa 2021 · A	20	46→52	38→45	55	45	218/283/303	84	283	5	18	24%	6%	68	-1.0	233/297/347	114	294	9	19	23%	7%	83	+0.1	234/307/360	127	282	11	18	20%	9%	86	+0.3
✕Nasim Nuñez 2021 · A	20	41→51	35→30	57→65	47	191/265/249	58	277	2	20	30%	9%	49	-2.4	215/301/265	50	313	2	38	28%	11%	66	-1.1	214/299/272	58	299	5	52	27%	10%	65	-1.0
✕Frainyer Chavez 2019 · A	20	46→47	38→40	54→50	42	217/271/293	76	299	5	21	28%	6%	61	-1.5	207/269/264	57	287	2	13	26%	7%	53	-2.1	223/291/306	84	291	8	18	25%	8%	69	-0.7
✕Brandon Dailey 2012 · A	20	47	37→45	58→55	44	219/280/295	76	302	3	17	27%	7%	64	-1.3	195/243/292	97	286	8	8	33%	5%	50	-2.3	171/212/271	100	247	8	5	33%	4%	31	-1.3
✕BJ Boyd 2014 · A	21	48→57	38→45	54→50	44	219/284/305	86	322	4	15	31%	8%	68	-1.0	224/274/302	78	294	5	10	24%	6%	63	-1.3	259/306/366	107	315	10	10	20%	5%	87	+0.2

Ezequiel Pena

Career Stats + Projections

Career Comps

Career Path Comps