Yordalin Peña — OGILVIE

Yordalin PeñaOF Palm Beach Cardinals

Age 21 R/R 6'3" / 177 lbs A HR -14%BB -5% Svc 0.0 · Ctrl thru 2036

2026 ROS PROJECTION416 act + 9 ros · stats below = ROS only

showingROS

wRC+†56

AVG/OBP/SLG.125 / .222 / .125

PA9

HR0

K%33

BB%11

BABIP267

ISO109

MLB%0%

Value2026 · WAR

trajectory · projected WAR by year

Tools · ContractCON 30 / POW 35

Toolsscout grade

CONTACT30

scouting grade only

POWER35

scouting grade only

EYE35

scouting grade only

SPEED50

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	—	—	—
2032	Ext	beyond projection horizon · no WAR estimate
2033	Ext	beyond projection horizon · no WAR estimate
2034	Ext	beyond projection horizon · no WAR estimate
2035	Ext	beyond projection horizon · no WAR estimate
2036	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$-0.8M	+$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)
2022	17	ROK	DSL Cardinals	—	184	167	43	8	4	3	10	39	5	8	0	257	319	407	726	150	315	21	5	320	103	+1	+2	—	—	+4	0.6
2023	18	ROK	DSL Cardinals	—	176	156	41	9	4	2	15	34	4	7	1	263	343	410	753	147	322	19	9	336	113	+3	+1	—	—	+4	0.8
2024	19	ROK	FCL Cardinals	—	194	165	40	9	2	2	26	42	3	11	5	242	356	358	713	115	314	22	13	328	108	+2	+0	—	—	+4	0.6
2025	20	A	Palm Beach Cardinals	—	412	368	84	21	5	6	35	108	4	20	10	228	302	361	664	133	301	26	8	296	86	-7	+0	—	—	+9	0.2
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2022	17	ROK MLE	DSL Cardinals	—	184	171	30	6	2	2	6	57	5	8	0	175	225	269	494	94	243	31	3	219	34	-14	+2	—	—	+4	-0.9
2023	18	ROK MLE	DSL Cardinals	—	176	161	28	5	3	2	10	51	4	7	1	174	240	280	520	106	229	29	6	216	32	-14	+1	—	—	+4	-1.0
2024	19	ROK MLE	FCL Cardinals	—	194	175	31	6	1	2	16	59	3	11	5	177	258	257	515	80	254	30	8	229	41	-14	+0	—	—	+4	-0.9
2025	20	A MLE	Palm Beach Cardinals	—	412	377	69	19	4	5	26	153	4	20	10	183	243	294	538	111	278	37	6	236	46	-27	+0	—	—	+9	-1.8
2022	17	ROK MLE	DSL Cardinals	—	184	171	30	6	2	2	6	57	5	8	0	175	225	269	494	94	246	31	3	219	34	—	—	—	—	—	—
2022	17	ROK RAW	DSL Cardinals	—	184	167	43	8	4	3	10	39	5	8	0	257	319	407	726	150	315	21	5	320	34	—	—	—	—	—	—
2023	18	ROK MLE	DSL Cardinals	—	176	161	28	5	3	2	10	51	4	7	1	174	240	280	520	106	239	29	6	216	32	—	—	—	—	—	—
2023	18	ROK RAW	DSL Cardinals	—	176	156	41	9	4	2	15	34	4	7	1	263	343	410	753	147	322	19	9	336	32	—	—	—	—	—	—
2024	19	ROK MLE	FCL Cardinals	—	194	175	31	6	1	2	16	59	3	11	5	177	258	257	515	80	254	30	8	229	41	—	—	—	—	—	—
2024	19	ROK RAW	FCL Cardinals	—	194	165	40	9	2	2	26	42	3	11	5	242	356	358	713	115	314	22	13	328	41	—	—	—	—	—	—
2025	20	A MLE	Palm Beach Cardinals	—	412	377	69	19	4	5	26	153	4	20	10	183	243	294	538	111	286	37	6	236	46	—	—	—	—	—	—
2025	20	A RAW	Palm Beach Cardinals	—	412	368	84	21	5	6	35	108	4	20	10	228	302	361	664	133	301	26	8	296	46	—	—	—	—	—	—
2022	17	ROK MLE	DSL Cardinals	—	184	171	30	6	2	2	6	57	5	8	0	175	225	269	494	94	243	31	3	219	34	—	—	—	—	—	—
2023	18	ROK MLE	DSL Cardinals	—	176	160	28	5	3	2	10	51	4	7	1	175	240	281	521	106	229	29	6	216	32	—	—	—	—	—	—
2024	19	ROK MLE	FCL Cardinals	—	194	173	31	6	1	2	16	59	3	11	5	179	258	260	518	81	254	30	8	229	41	—	—	—	—	—	—
2025	20	A MLE	Palm Beach Cardinals	—	412	379	69	19	4	5	26	153	4	20	10	182	243	293	536	111	278	37	6	236	46	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	18	ROK MLE	DSL Cardinals	—	176	160	28	5	3	2	10	51	4	7	1	175	240	281	521	106	229	29	6	216	32	—	—	—	—	—	—
2024	19	ROK MLE	FCL Cardinals	—	194	173	31	6	1	2	16	59	3	11	5	179	258	260	518	81	254	30	8	229	41	—	—	—	—	—	—
2025	20	A MLE	Palm Beach Cardinals	—	412	379	69	19	4	5	26	153	4	20	10	182	243	293	536	111	278	37	6	236	46	—	—	—	—	—	—
YTD	21	A MLE	STL	—	416	382	75	25	1	14	21	176	8	23	4	196	253	377	630	181	310	42	5	272	70	-15	+3	+0	-2	+9	-0.5
▸ 2026 season
YTD	21	A RAW	STL	—	339	302	82	26	2	15	25	100	6	21	3	272	338	520	858	248	349	29	7	369	70	—	—	—	—	—	—
YTD	21	A+ RAW	STL	—	77	72	18	6	0	4	3	25	2	2	1	250	299	500	799	250	326	32	4	348	70	—	—	—	—	—	—
ROS	21	A MLE	STL	0%	9	8	1	0	0	0	1	3	0	0	0	125	222	125	347		268	33	11	251	56	-0	+0	+0	-0	+0	-0.0
TOT	21	A MLE	STL	—	425	390	76	25	1	14	22	179	8	23	4	195	252	372	624	177	307	42	5	271	70	-15	+3	+0	-3	+9	-0.6
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	22	MLB MLE	STL	34%	454	418	79	22	2	12	27	163	6	13	3	189	248	337	586	148	271	36	6	262	64	-20	+1	+0	-3	+10	-1.1
2028	23	MLB MLE	STL	48%	490	449	87	23	2	14	31	168	7	14	4	194	257	347	604	154	273	34	6	272	70	-17	+1	+0	-3	+11	-0.9
2029	24	MLB MLE	STL	53%	529	482	97	25	3	16	35	177	7	15	4	201	265	365	630	164	275	33	7	278	74	-16	+1	+0	-3	+11	-0.6
2030	25	MLB MLE	STL	55%	571	520	106	27	3	18	38	188	8	16	4	204	269	371	640	167	276	33	7	282	77	-16	+2	+0	-3	+12	-0.5
2031	26	MLB MLE	STL	56%	590	537	109	28	3	18	40	195	8	17	4	203	268	367	635	164	276	33	7	283	78	-16	+2	+0	-4	+13	-0.5
2027	22	MLB CTX	STL	34%	156	144	27	7	1	4	9	56	2	4	1	188	245	333	578	146	270	36	6	248	64	-7	+0	+0	-1	+3	-0.4
2028	23	MLB CTX	STL	48%	237	217	41	11	1	6	15	81	3	7	2	189	251	332	583	143	272	34	6	257	70	-8	+1	+0	-1	+5	-0.4
2029	24	MLB CTX	STL	53%	279	255	50	13	1	8	18	93	4	8	2	196	260	349	609	153	274	33	6	264	74	-8	+1	+0	-2	+6	-0.3
2030	25	MLB CTX	STL	55%	312	284	58	15	2	9	21	103	4	9	2	204	269	366	635	162	274	33	7	267	77	-9	+1	+0	-2	+7	-0.3
2031	26	MLB CTX	STL	56%	328	298	60	16	2	9	22	108	5	9	2	201	268	359	627	158	274	33	7	268	78	-9	+1	+0	-2	+7	-0.3
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1312	1198	236	62	7	36	85	441	18	37	9	197	261	351	611	154	275	34	6	262	64	-41	+4	+0	-8	+28	-1.7
/ 162G	—	A+C		—	650	594	117	31	3	18	42	218	9	18	4	197	260	350	611	153	274	34	6	262	64	-20	+2	+0	-4	+14	-0.8
Career	—	MLE		—	3609	3298	637	161	23	89	230	1214	52	121	35	193	257	337	594	144	272	34	6	263	64	-85	+7	+0	-16	+57	-3.7
/ 162G	—	MLE		—	650	594	115	29	4	16	41	219	9	22	6	194	256	337	593	143	273	34	6	263	64	-21	+2	+0	-4	+14	-0.9

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Michael Saunderslast yr '17 career totals — 8 seasons, 2,711 PA	4.1	2,711	81	55	233	305	399	-12	-13	4.1	4.5
/162	664	20	13	-2.9	-3.2	1.0	pk7: 5
#2Adam 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
#3Dustin Ackleylast yr '16 career totals — 6 seasons, 2,347 PA	3.5	2,347	46	31	241	304	367	-5	+7	3.8	3.8
/162	664	13	9	-1.3	+1.9	1.1	pk7: 4
#4Jake Cavelast yr '24 career totals — 7 seasons, 1,564 PA	2.4	1,564	45	13	236	292	400	-11	-6	1.3	1.3
/162	664	19	6	-4.5	-2.5	0.6	pk7: 1
#5Nick Senzellast yr '24 career totals — 6 seasons, 1,633 PA	2.5	1,633	40	33	232	299	363	+6	-14	0.9	0.9
/162	664	16	13	+2.4	-5.8	0.4	pk7: 1
#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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 3 projected seasons	2.5	1,633	44	46	193	255	345	-10	+0	-2.3	-1.1
/162	664	18	19	-4.0	+0.0	-0.9	pk7: 0

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
Yordalin Peña (OGILVIE)	21	30	35	50	35	178/237/319	141	268	8	13	38%	6%	56	-1.0	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Misael Urbina 2023 · A	21	38→30	41→45	48→50	44	187/255/292	104	257	8	12	29%	8%	55	-1.9	174/252/260	86	262	6	9	33%	9%	47	-2.5	158/245/237	79	236	5	8	32%	9%	37	-1.9
✕Jose Paniagua 2015 · A	21	38	40→50	50→55	42	189/249/288	99	268	7	12	31%	7%	52	-2.2	198/248/295	97	288	8	8	32%	6%	53	-2.1	179/215/276	97	256	10	2	33%	3%	32	-1.0
✕Kyle Nevin 2023 · A	21	41→38	40	52→50	39	198/250/294	96	274	6	10	29%	5%	53	-2.1	216/274/318	102	332	9	10	35%	7%	68	-1.0	210/271/306	96	328	9	12	36%	7%	61	-0.9
✕Steven Baron 2012 · A	21	34	39→45	45→50	36	172/216/255	83	252	7	7	34%	5%	31	-3.7	189/226/284	95	266	6	9	30%	4%	41	-3.0	237/293/310	73	315	4	8	24%	7%	69	-0.4
✕Brayan Buelvas 2023 · A	21	34→43	46→45	50→55	39	183/243/312	128	244	14	13	31%	6%	55	-1.9	192/254/310	118	276	11	18	33%	7%	59	-1.7	197/258/324	127	284	12	14	34%	7%	60	-1.1
✕Jose Cordoba 2023 · A	20	38	42→40	44→55	39	190/253/289	99	277	10	9	34%	6%	54	-2.0	206/263/300	94	283	6	11	28%	6%	59	-1.6	204/262/298	94	272	5	15	25%	6%	56	-0.8
✕Enger Jimenez 2015 · A	20	39	40	48→50	38	191/241/288	97	267	7	9	30%	5%	49	-2.4	214/267/304	90	282	5	10	24%	6%	61	-1.5	223/275/315	92	285	5	14	22%	5%	64	-0.6
✕Juan Beltre 2007 · A	21	36	34→30	47→60	34	173/221/220	48	266	2	10	34%	4%	25	-4.1	209/274/272	63	297	3	19	29%	6%	57	-1.8	243/319/291	49	314	2	32	21%	7%	76	-0.2
✕Rudy van Heydoorn 2010 · A	21	33	41→45	40→50	41	166/249/256	90	260	9	8	37%	8%	46	-2.6	199/274/309	110	312	10	5	36%	8%	67	-1.1	204/303/338	134	292	14	2	32%	11%	85	+0.1
✕Jose Meza 2023 · A	20	41→40	41→45	48→50	41	200/267/299	99	282	9	10	31%	6%	61	-1.5	203/296/305	102	299	9	8	32%	10%	74	-0.5	186/292/283	98	277	9	10	33%	11%	67	-0.7
✕Luis Hidalgo 2017 · A	21	37	44→45	47→45	43	190/252/303	113	229	13	12	24%	6%	57	-1.8	224/274/348	124	267	13	8	21%	5%	75	-0.5	259/302/380	121	288	12	8	14%	4%	90	+0.3
✕Jase Bowen 2022 · A	21	37→40	42→50	54→55	35	184/245/283	99	282	10	12	37%	5%	50	-2.3	197/252/315	118	289	14	16	35%	5%	59	-1.6	203/254/335	133	288	14	24	34%	5%	62	-0.9
✕Gilbert Gomez 2012 · A	20	40→37	40	52→50	40	195/254/288	93	274	7	14	31%	6%	53	-2.1	201/272/277	76	304	4	8	32%	8%	58	-1.7	190/273/260	70	294	3	7	33%	10%	51	-1.4
✕Rafael Morel 2022 · A	20	38	40	51→50	39	187/249/281	94	269	8	13	32%	6%	51	-2.3	196/261/274	78	315	7	10	37%	7%	53	-2.1	188/258/263	75	295	9	10	37%	7%	47	-1.2
✕Gabriel Rosa 2014 · A	21	35	40	51→50	38	177/237/265	88	260	9	12	34%	6%	42	-2.9	186/249/277	91	276	8	12	33%	6%	49	-2.4	135/202/219	84	197	8	18	34%	6%	17	-1.3
✕Jose Ramirez 2010 · A	21	39	38→40	46→50	43	188/249/265	77	248	5	10	25%	6%	47	-2.6	211/278/295	84	273	7	11	24%	7%	65	-1.2	214/288/286	72	266	9	15	22%	7%	63	-0.5
✕Emilio King 2011 · A	21	37	36→45	45→40	37	178/245/248	70	273	3	6	34%	5%	42	-2.9	214/256/307	93	316	7	4	33%	4%	58	-1.7	250/279/366	116	337	11	3	28%	2%	76	-0.3
✕Sean Coyle 2013 · A	21	38→36	45→50	54→50	38	193/255/316	124	276	12	13	34%	6%	61	-1.5	204/262/352	148	296	18	14	36%	6%	72	-0.7	194/255/352	157	279	21	15	37%	7%	68	-0.5
✕Narciso Crook 2016 · A	21	37→43	42→50	53→50	32	188/220/289	102	281	9	12	36%	4%	40	-3.1	199/245/307	108	298	10	10	35%	5%	54	-2.0	206/268/351	145	302	15	14	35%	6%	70	-0.6
✕Ignacio Valdez 2016 · A	21	34	39→45	48→50	38	168/235/254	87	269	6	8	38%	7%	39	-3.1	171/234/292	121	290	14	4	43%	7%	48	-2.5	135/184/266	131	201	17	0	42%	5%	19	-1.1

Career Stats + Projections

Career Comps

Career Path Comps