Fernando Peguero

Fernando PegueroSS Norfolk Tides

Age 21 S/R 5'9" / 145 lbs AAA HR +8%BB -5% Svc 0.0 · Ctrl thru 2033 peak 1.1 · 2032

wRC+†39

AVG/OBP/SLG.195 / .260 / .266

PA320

HR3

SB16

K%30

BB%7

MLB%10%

Scouting · now → future

HIT

35→35

PWR

20→20

SPD

60→60

EYE

46↘40

trajectory · 10 yrs

1.1peak

2031

Contract

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

Status MiLB

MLB Debut 2028

Service 0 yrs (est)

Team Control Through 2033

First FA Year 2034

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2028
2027	MiLB	still in minors · estimated debut 2028
2028	Pre-Arb	$0.8M	+0.5	$2M	+$1M
2029	Arb-1	$0.8M	+0.8	$3M	+$3M
2030	Arb-2	$0.9M	+1.0	$9M	+$8M
2031	Arb-3	$2M	+1.0	$9M	+$7M
2032	Ext / FA-deal	$4M	+1.1	$11M	+$7M
2033	Ext / FA-deal	$5M	+0.9	$4M	-$0.5M
Totals		$13M		$39M	+$25M

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
2022	17	ROK	DSL BAL Orange	171	156	24	3	1	0	10	38	3	12	4	.154	.219	.186	.405	.032	.200	22	6	.189	3	-19	+1	+0	+2	+5	-1.2
2023	18	ROK	DSL Orioles Orange	217	195	47	9	3	2	17	45	1	20	11	.241	.305	.349	.654	.108	.300	21	8	.281	73	-7	-0	+0	+2	+6	0.2
2024	19	ROK	3 teams	221	200	43	5	2	1	16	49	1	37	7	.215	.276	.275	.551	.060	.275	22	7	.238	41	-15	+5	+0	+2	+6	-0.2
2025	20	A	2 teams	334	300	53	6	1	2	23	109	5	31	3	.177	.247	.223	.470	.047	.266	33	7	.213	21	-30	+5	+0	+4	+9	-1.2
▸ 2026 Season (actual · ROS · total)
2026	21	AAA	2 teams	46	42	6	0	1	1	4	18	0	4	0	.143	.217	.262	.479	.119	.217	39	9	.210	19	-4	+1	+0	+0	+1	-0.2
ROS	21	MLB	BAL	274	249	48	7	2	3	20	85	3	12	1	.193	.261	.273	.534	.080	.275	31	7	.241	43	-18	+2	+0	+3	+8	-0.5
TOT	21	MLB	BAL	320	291	54	7	3	4	24	103	3	16	1	.186	.255	.271	.526	.086	.270	32	8	.237	39	-22	+3	+0	+3	+9	-0.7
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	22	MLB 27%	BAL	443	400	82	12	3	7	36	117	4	18	2	.205	.277	.302	.580	.098	.268	26	8	.263	60	-20	+3	+0	+5	+13	-0.0
2028	23	MLB 48%	BAL	493	443	93	14	3	9	42	126	5	18	2	.210	.286	.316	.602	.106	.270	26	9	.275	68	-18	+3	+0	+5	+14	0.5
2029	24	MLB 62%	BAL	525	469	100	15	3	11	46	132	5	18	2	.213	.290	.328	.619	.115	.272	25	9	.282	74	-16	+3	+0	+6	+15	0.8
2030	25	MLB 79%	BAL	540	481	105	16	3	12	48	134	6	17	2	.218	.297	.339	.636	.121	.273	25	9	.286	77	-14	+3	+0	+6	+15	1.0
2031	26	MLB 94%	BAL	547	486	105	16	3	12	50	136	6	16	2	.216	.297	.335	.632	.119	.273	25	9	.287	78	-13	+2	+0	+6	+15	1.0
2032	27	MLB	BAL	547	485	105	16	3	12	51	137	6	15	1	.216	.299	.336	.635	.120	.273	25	9	.288	78	-13	+3	+0	+6	+15	1.1
2033	28	MLB	BAL	542	480	104	16	3	12	51	137	6	14	1	.217	.300	.338	.637	.121	.273	25	9	.286	77	-14	+2	-1	+6	+15	0.9
2034	29	MLB	BAL	532	472	100	15	3	11	50	135	5	13	1	.212	.294	.326	.620	.114	.272	25	9	.284	76	-15	+2	-1	+6	+15	0.7
2035	30	MLB	BAL	521	462	98	15	3	11	49	134	5	12	0	.212	.295	.329	.624	.117	.270	26	9	.281	73	-16	+2	-2	+6	+15	0.5
2036	31	MLB	BAL	507	449	93	14	2	10	48	133	5	10	0	.207	.291	.314	.605	.107	.269	26	9	.277	70	-17	+2	-3	+5	+14	0.2
2037	32	MLB	BAL	488	434	88	13	2	9	46	131	5	9	0	.203	.287	.304	.591	.101	.267	27	9	.273	67	-18	+2	-4	+5	+14	-0.1
2038	33	MLB	BAL	458	408	81	12	2	8	43	126	4	8	0	.199	.281	.297	.578	.098	.266	28	9	.268	63	-19	+2	-4	+5	+13	-0.4
2039	34	MLB	BAL	413	368	72	10	2	7	38	117	4	7	0	.196	.278	.291	.569	.095	.264	28	9	.261	58	-19	+1	-5	+4	+12	-0.7
▸ Career Totals (MLE all levels + projections)
Career	—			7773	6937	1441	214	44	139	684	2021	79	287	39	.208	.286	.311	.598	.104	.270	26	9	.271	66	-300	+42	-20	+83	+220	2.6
/ 162G	—			650	580	121	18	4	12	57	169	7	24	3	.209	.287	.316	.603	.107	.270	26	9	.271	66	-25	+4	-2	+7	+18	0.2

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
2022	17	ROK	DSL BAL Orange	171	150	31	4	2	0	16	26	3	12	4	.207	.296	.260	.556	.053	.246	15	9	.259	57	-8	+1	—	—	+5	-0.3
2023	18	ROK	DSL Orioles Orange	217	183	61	12	4	2	29	28	1	20	11	.333	.427	.475	.903	.142	.381	13	13	.396	161	+15	-0	—	—	+6	2.1
2024	19	AAA	Norfolk Tides	15	15	4	0	0	0	0	7	0	0	0	.267	.267	.267	.533	.000	.500	47	0	.241	43	-1	+0	—	—	+0	-0.1
2024	19	A	Delmarva Shorebirds	22	18	8	1	2	0	4	7	0	5	0	.444	.545	.722	1.268	.278	.727	32	18	.538	270	+4	+1	—	—	+1	0.6
2024	19	ROK	FCL Orioles	184	159	38	5	0	1	20	24	1	32	7	.239	.328	.289	.617	.050	.270	13	11	.283	75	-5	+4	—	—	+5	0.4
2025	20	AAA	Norfolk Tides	83	74	12	3	0	1	9	21	0	4	0	.162	.253	.243	.496	.081	.212	25	11	.234	38	-6	+1	—	—	+2	-0.3
2025	20	A	Delmarva Shorebirds	251	213	47	4	1	1	27	58	5	27	3	.221	.322	.263	.585	.042	.293	23	11	.273	67	-9	+4	—	—	+7	0.2

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
Fernando Peguero (OGILVIE)	21	35	20	60	40	.195/.260/.266	.071	.280	3	12	30%	7%	45	-1.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Reidy Mercado 2022 · A	21	42	37→30	56→60	41	.201/.257/.271	.070	.286	4	23	30%	6%	43	-2.2	.189/.240/.243	.054	.305	2	20	36%	6%	29	-3.2	.170/.217/.204	.034	.277	1	31	37%	5%	6	-1.2
✕Junior Valera 2014 · A	21	46	36→40	57→60	47	.215/.281/.293	.077	.280	1	18	22%	8%	59	-1.1	.228/.289/.316	.088	.298	4	17	23%	8%	69	-0.4	.245/.306/.339	.094	.314	6	23	22%	8%	78	+0.1
✕Adenson Chourio 2007 · A	21	47	34→30	54→60	45	.218/.278/.265	.047	.288	1	27	24%	7%	51	-1.7	.237/.306/.283	.046	.303	1	30	20%	8%	68	-0.5	.239/.307/.269	.030	.309	1	34	21%	7%	61	-0.5
✕Roberto Caro 2015 · A	21	46→39	38→40	62→60	49	.213/.292/.305	.092	.282	3	21	24%	9%	68	-0.5	.204/.275/.284	.080	.297	2	16	29%	8%	55	-1.4	.219/.291/.296	.077	.328	2	26	31%	8%	63	-0.4
✕Tyler James 2018 · A	21	44	36→30	63→65	42	.205/.267/.282	.077	.295	2	25	29%	7%	51	-1.7	.219/.282/.293	.074	.330	4	28	32%	7%	60	-1.0	.230/.297/.289	.060	.352	4	45	33%	8%	61	-0.4
✕Rodolfo Penalo 2014 · A	21	46	36→40	56→65	49	.212/.280/.284	.072	.261	3	24	19%	8%	57	-1.2	.211/.292/.279	.068	.275	2	24	22%	9%	61	-1.0	.196/.288/.254	.058	.259	1	30	22%	10%	50	-0.6
✕Emmanuel Morel 2017 · A	20	40	34→30	50→55	45	.186/.262/.242	.056	.286	2	15	33%	9%	39	-2.5	.194/.260/.258	.064	.316	2	14	36%	7%	42	-2.3	.183/.249/.232	.049	.297	0	21	35%	6%	27	-0.8
✕Sergio Garcia 2012 · AAA	21	37	41→45	54→60	40	.189/.242/.279	.090	.265	9	22	32%	6%	40	-2.4	.212/.253/.321	.109	.294	11	26	31%	4%	55	-1.4	.222/.248/.338	.115	.291	12	17	28%	3%	54	-0.6
✕Terry Serrano 2009 · A	22	41	35→30	50→55	45	.193/.257/.255	.062	.261	3	15	26%	7%	40	-2.4	.210/.292/.281	.071	.312	3	15	30%	10%	62	-0.9	.210/.320/.274	.064	.324	2	21	31%	13%	69	-0.2
✕Cole Tucker 2018 · AA	22	46→48	38→45	55	43	.220/.271/.304	.084	.294	5	23	26%	6%	58	-1.2	.219/.277/.316	.097	.288	7	20	25%	7%	63	-0.8	.206/.271/.318	.111	.268	10	12	26%	8%	58	-0.7
✕Estarlin De Los Santos 2008 · A	21	43→41	36→40	55	40	.200/.256/.268	.068	.284	2	18	29%	6%	43	-2.2	.214/.261/.282	.068	.299	3	16	27%	5%	47	-1.9	.212/.257/.277	.065	.297	2	16	27%	5%	41	-1.4
✕Nasim Nuñez 2021 · A	20	41→50	35→30	57→65	47	.191/.265/.249	.058	.276	2	20	30%	9%	42	-2.3	.210/.295/.260	.050	.308	2	37	29%	10%	58	-1.2	.208/.292/.268	.060	.292	5	52	28%	10%	56	-1.1
✕Geraldo Quintero 2023 · A	21	44→45	41→40	55→60	45	.210/.275/.315	.105	.273	7	20	25%	7%	63	-0.8	.209/.273/.297	.088	.277	7	26	25%	7%	58	-1.2	.198/.268/.283	.085	.261	8	32	26%	7%	49	-1.2
✕Pedro Toribio 2011 · A	21	45	35→40	56→60	47	.212/.274/.277	.065	.272	2	19	22%	7%	53	-1.5	.239/.276/.333	.094	.292	4	25	19%	5%	66	-0.6	.263/.287/.356	.093	.316	3	33	17%	3%	74	-0.0
✕Jenner Emeterio 2014 · A	21	45	36→30	54→60	51	.210/.290/.269	.060	.280	4	23	25%	10%	59	-1.1	.222/.308/.288	.066	.293	2	21	22%	10%	71	-0.3	.235/.336/.301	.066	.302	0	28	19%	12%	85	+0.3
✕Fernando Garcia 2009 · A	21	40	36→30	51→55	40	.189/.247/.253	.064	.269	3	16	29%	6%	35	-2.8	.210/.281/.274	.064	.280	2	19	23%	8%	55	-1.4	.210/.287/.268	.058	.274	1	22	22%	9%	53	-0.7
✕Alfredo Angarita 2018 · A	21	41	35→30	51→55	49	.194/.274/.256	.062	.268	2	15	26%	9%	48	-1.9	.202/.266/.257	.055	.287	2	10	28%	8%	44	-2.1	.194/.258/.236	.042	.276	1	9	28%	7%	32	-1.3
✕Yonki Hernandez 2012 · A	21	41	36→40	53→55	47	.189/.286/.258	.068	.280	3	16	30%	9%	55	-1.4	.196/.264/.269	.073	.314	4	18	36%	7%	46	-2.0	.179/.228/.215	.036	.302	3	27	40%	6%	13	-1.0
✕Robert Garcia 2015 · A	21	49	36→30	55→60	41	.227/.290/.290	.064	.308	3	21	26%	5%	63	-0.8	.230/.283/.298	.068	.320	4	18	28%	5%	61	-1.0	.220/.266/.271	.051	.334	3	19	33%	5%	44	-1.0
✕Hoy Park 2017 · A	21	39→49	38→45	58→55	45	.188/.259/.276	.088	.265	5	16	29%	8%	46	-2.0	.210/.284/.296	.086	.280	6	17	25%	8%	63	-0.9	.229/.318/.327	.099	.300	9	17	24%	11%	81	+0.3

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)