Viandel Pena — OGILVIE

Viandel Pena2B Harrisburg Senators

Age 25 S/R 5'7" / 148 lbs AA HR -9% Svc 0.0 · Ctrl thru 2034

wRC+†43

AVG/OBP/SLG.192 / .252 / .274

PA169

HR2

SB5

K%30

BB%7

MLB%2%

Scouting · now → future

HIT

30→30

PWR

50→50

SPD

50→50

EYE

40↘35

trajectory · 10 yrs

-0.3peak

2028

Contract

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

Status MiLB

MLB Debut 2029

Service 0 yrs (est)

Team Control Through 2034

First FA Year 2035

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2029
2027	MiLB	still in minors · estimated debut 2029
2028	MiLB	still in minors · estimated debut 2029
2029	Arb-1	$0.8M	—	—	—
2030	Arb-2	$0.9M	—	—	—
2031	Arb-3	$0.9M	—	—	—
2032	Ext / FA-deal	$0.2M	—	—	—
2033	Ext / FA-deal	$0.4M	—	—	—
2034	Ext / FA-deal	$0.6M	—	—	—
Totals		$-6M		$-23M	-$17M

Career Projections (MLE)

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	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
2018	17	ROK	DSL Nationals	295	258	48	9	4	1	29	73	6	4	2	.186	.283	.264	.547	.078	.255	25	10	.244	45	-18	+0	+0	+1	+8	-0.9
2019	18	ROK	GCL Nationals	154	139	33	6	2	0	13	45	2	6	3	.237	.312	.309	.621	.072	.351	29	8	.281	73	-5	+0	+0	+1	+4	0.0
2021	20	A	Fredericksburg Nationals	331	309	52	9	2	3	20	123	0	10	4	.168	.219	.239	.458	.071	.266	37	6	.203	14	-32	+0	+0	+1	+9	-2.2
2022	21	A	2 teams	463	414	72	12	5	5	39	179	0	34	7	.174	.245	.263	.508	.089	.288	39	8	.224	30	-37	+4	+0	+2	+13	-1.8
2023	22	A+	Wilmington Blue Rocks	419	373	67	14	2	0	40	118	1	18	7	.180	.261	.228	.489	.048	.261	28	10	.224	30	-33	+1	+0	+1	+12	-2.0
2024	23	A+	Wilmington Blue Rocks	316	295	65	10	3	0	16	98	1	20	2	.220	.263	.275	.537	.054	.330	31	5	.239	41	-21	+3	+0	+1	+9	-0.8
2025	24	AA	Harrisburg Senators	173	162	29	5	2	5	10	59	0	6	2	.179	.227	.327	.554	.148	.245	34	6	.238	40	-12	+0	+0	+1	+5	-0.6
▸ 2026 Season
2026	25	MLB	WSH	169	155	31	6	1	2	12	51	0	5	1	.200	.257	.290	.548	.090	.275	30	7	.241	43	-11	+1	+0	+1	+5	-0.5
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	26	MLB 11%	WSH	261	239	49	9	2	4	19	77	1	8	2	.205	.266	.310	.576	.105	.279	30	7	.258	56	-13	+1	+0	+1	+7	-0.4
2028	27	MLB 26%	WSH	313	285	59	11	2	5	24	91	1	9	2	.207	.271	.312	.583	.105	.280	29	8	.263	59	-14	+1	+0	+1	+9	-0.3
2029	28	MLB 38%	WSH	346	315	65	12	2	6	27	100	1	9	2	.206	.271	.314	.585	.108	.280	29	8	.265	61	-15	+1	-1	+1	+10	-0.4
2030	29	MLB 47%	WSH	359	326	67	12	2	6	28	104	2	9	2	.206	.272	.310	.582	.104	.280	29	8	.264	60	-16	+1	-1	+1	+10	-0.5
2031	30	MLB 56%	WSH	367	333	67	12	2	6	29	108	2	8	2	.201	.269	.303	.573	.102	.278	29	8	.261	58	-17	+1	-2	+1	+10	-0.7
2032	31	MLB 73%	WSH	359	327	65	12	2	5	28	107	1	7	1	.199	.264	.294	.558	.095	.277	30	8	.257	55	-18	+1	-3	+1	+10	-0.9
2033	32	MLB 91%	WSH	344	313	62	11	2	5	27	104	1	5	0	.198	.264	.294	.558	.096	.275	30	8	.253	52	-19	+1	-4	+1	+10	-1.1
2034	33	MLB	WSH	316	288	56	10	2	4	24	98	1	3	0	.194	.259	.285	.544	.090	.274	31	8	.248	48	-19	+1	-4	+1	+9	-1.2
2035	34	MLB	WSH	274	250	47	8	2	3	21	87	1	2	0	.188	.254	.272	.526	.084	.272	32	8	.242	43	-18	+0	-5	+1	+8	-1.4
▸ Career Totals (MLE all levels + projections)
Career	—			5259	4781	934	168	39	60	406	1622	21	163	39	.195	.261	.284	.546	.089	.280	31	8	.246	46	-318	+17	-20	+19	+149	-15.6
/ 162G	—			650	591	115	21	5	7	50	200	3	20	5	.195	.261	.283	.543	.088	.279	31	8	.246	46	-39	+2	-2	+2	+18	-1.9

Historical Stats — Raw (Per Stint)

Actual MLB + MiLB stats as they happened, one row per stint at each level. Use this to see what really got recorded; the table above shows MLB-equivalent translations + projections.

Year	Age	Lvl	Team	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
2018	17	ROK	DSL Nationals	295	240	60	13	5	1	47	51	6	4	2	.250	.386	.358	.744	.108	.314	17	16	.343	121	+7	+0	—	—	+8	1.6
2019	18	ROK	GCL Nationals	154	131	47	10	3	0	21	31	2	6	3	.359	.455	.481	.935	.122	.470	20	14	.419	179	+14	+0	—	—	+4	1.8
2021	20	A	Fredericksburg Nationals	331	295	63	11	2	4	34	88	0	10	4	.214	.295	.305	.600	.092	.289	27	10	.275	69	-12	+0	—	—	+9	-0.2
2022	21	A+	Wilmington Blue Rocks	111	97	22	5	3	0	12	31	0	4	4	.227	.312	.340	.652	.113	.333	28	11	.291	81	-2	-1	—	—	+3	-0.0
2022	21	A	Fredericksburg Nationals	352	296	68	11	5	6	48	95	0	30	3	.230	.337	.361	.699	.132	.313	27	14	.312	97	-1	+5	—	—	+10	1.4
2023	22	A+	Wilmington Blue Rocks	419	346	75	16	2	0	67	88	1	18	7	.217	.345	.275	.620	.058	.288	21	16	.293	83	-8	+1	—	—	+12	0.4
2024	23	A+	Wilmington Blue Rocks	316	283	78	12	4	0	28	71	1	20	2	.276	.343	.346	.689	.071	.368	22	9	.311	96	-1	+3	—	—	+9	1.1
2025	24	AA	Harrisburg Senators	173	159	32	5	2	6	13	46	0	6	2	.201	.262	.371	.633	.170	.243	27	8	.280	72	-5	+0	—	—	+5	-0.0

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
Viandel Pena (OGILVIE)	25	30	50	50	35	.192/.252/.274	.081	.275	2	5	30%	7%	43	-0.6	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Jackson Cluff 2022 · AA	25	39→29	40→45	50→55	38	.192/.256/.284	.092	.277	8	12	32%	5%	48	-1.9	.179/.255/.283	.104	.283	9	15	37%	8%	47	-1.9	.181/.273/.314	.132	.266	14	28	35%	10%	61	-0.6
✕Chris Roller 2023 · AA	26	37	39→45	50→55	40	.183/.248/.270	.087	.268	6	14	32%	6%	40	-2.4	.194/.274/.324	.130	.304	14	16	38%	9%	67	-0.5	.179/.266/.318	.140	.290	17	19	41%	9%	60	-0.7
✕Julian Escobedo 2023 · AA	25	38→36	41→40	48→50	40	.191/.255/.290	.099	.266	9	14	31%	6%	49	-1.8	.203/.269/.317	.114	.286	10	15	31%	6%	62	-0.9	.179/.252/.313	.134	.265	12	20	35%	6%	50	-0.4
✕J.T. Arruda 2023 · A	25	42	40	55	45	.202/.273/.300	.097	.294	7	17	32%	9%	58	-1.2	.204/.277/.294	.090	.295	7	20	30%	9%	59	-1.1	.199/.271/.284	.086	.280	7	23	29%	8%	51	-1.1
✕Sheldon Fulse 2007 · AA	25	40	41→45	51→60	41	.195/.255/.298	.103	.280	8	20	32%	7%	50	-1.7	.226/.296/.334	.108	.338	9	21	33%	9%	77	+0.1	.232/.310/.333	.101	.354	8	29	33%	10%	79	+0.1
✕Grae Kessinger 2022 · AA	24	37→29	42→45	48→50	42	.191/.254/.286	.095	.257	11	14	30%	7%	47	-1.9	.192/.267/.310	.118	.259	14	15	30%	8%	59	-1.1	.186/.266/.299	.113	.246	14	14	29%	9%	54	-0.9
✕Steven Baron 2016 · AAA	25	43	38→45	51→50	40	.208/.252/.292	.085	.285	5	9	28%	5%	46	-2.0	.227/.285/.303	.076	.312	6	6	27%	7%	64	-0.8	.220/.281/.276	.057	.306	5	2	28%	7%	51	-0.6
✕Arquímedes Gamboa 2022 · AAA	24	39→43	41→40	52→50	47	.189/.268/.284	.095	.274	9	15	32%	10%	53	-1.5	.204/.283/.304	.100	.299	9	14	32%	10%	65	-0.7	.195/.282/.288	.093	.289	8	15	32%	10%	56	-0.7
✕Estarlin De Los Santos 2012 · AA	25	43→41	36→40	49→55	38	.202/.245/.274	.072	.285	3	13	29%	5%	39	-2.5	.202/.249/.275	.073	.273	5	11	27%	5%	41	-2.3	.198/.242/.251	.053	.260	4	10	24%	4%	28	-1.7
✕Jack Conley 2022 · AAA	25	35	41→45	50→45	39	.177/.239/.273	.095	.270	8	7	36%	7%	37	-2.6	.200/.266/.312	.112	.290	11	7	33%	7%	59	-1.1	.191/.265/.302	.110	.270	10	5	31%	8%	52	-0.8
✕Nick Meyer 2022 · AAA	25	41	38→40	48→50	43	.200/.261/.271	.071	.264	6	13	26%	6%	46	-2.0	.216/.288/.312	.096	.280	10	15	25%	8%	69	-0.4	.201/.280/.289	.088	.259	11	18	25%	9%	56	-0.6
✕Roberto Caro 2018 · AA	24	44→39	36→40	53→60	43	.202/.271/.274	.073	.306	2	15	32%	8%	50	-1.7	.217/.287/.297	.080	.314	3	27	29%	8%	63	-0.8	.216/.288/.291	.074	.309	3	35	28%	8%	61	-0.6
✕Logan Warmoth 2021 · AA	25	43→39	37→45	53→55	41	.199/.268/.274	.074	.312	3	13	35%	7%	50	-1.8	.197/.276/.301	.104	.314	9	19	37%	8%	61	-1.0	.188/.271/.293	.105	.291	11	24	36%	8%	55	-0.9
✕Chase Simpson 2017 · A	25	39→36	44→50	51→45	44	.196/.264/.315	.120	.274	10	6	31%	8%	59	-1.1	.194/.252/.311	.117	.289	11	7	35%	7%	53	-1.5	.129/.170/.236	.107	.192	13	3	41%	4%	-4	-1.2
✕Myles Schroder 2013 · A	25	42→46	39→45	50	37	.201/.248/.292	.090	.290	6	10	32%	5%	45	-2.1	.224/.268/.336	.112	.305	9	12	28%	4%	65	-0.7	.226/.268/.335	.109	.299	10	14	27%	4%	62	-0.5
✕Michael O'Neill 2017 · AA	25	41→40	40→45	50→55	36	.201/.247/.291	.090	.288	8	17	32%	5%	45	-2.1	.208/.257/.314	.106	.307	10	20	34%	5%	56	-1.3	.205/.256/.307	.102	.305	11	23	35%	5%	50	-1.3
✕Angelo Castellano 2021 · AA	26	38→42	39→45	46→50	41	.189/.242/.273	.083	.253	7	12	28%	6%	38	-2.6	.200/.261/.303	.103	.257	11	12	26%	7%	55	-1.4	.204/.274/.324	.120	.246	14	14	23%	8%	62	-0.4
✕Deiner Lopez 2019 · AAA	25	43	39→40	49→50	36	.210/.246/.297	.087	.299	7	13	32%	4%	45	-2.1	.187/.226/.271	.084	.307	6	11	39%	5%	30	-3.1	.122/.155/.172	.050	.226	2	11	46%	4%	-29	-2.4
✕Gunnar Heidt 2018 · AA	25	39→42	42→45	47→50	39	.194/.249/.297	.104	.281	10	12	34%	6%	48	-1.9	.200/.254/.303	.103	.309	9	13	36%	6%	51	-1.7	.206/.258/.305	.100	.300	8	9	32%	6%	50	-1.1
✕Max George 2021 · A	25	38→37	42→45	54→55	42	.186/.272/.288	.102	.271	9	21	33%	8%	57	-1.2	.192/.280/.320	.128	.332	14	15	43%	8%	69	-0.4	.147/.256/.292	.145	.254	19	20	46%	10%	50	-0.7

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)