Juanfel Peguero — OGILVIE

Juanfel Peguero2B FCL Rays

Age 21 S/R 5'11" / 142 lbs ROK Svc 0.0 · Ctrl thru 2037 peak 1.4 · 2032

wRC+†70

AVG/OBP/SLG.212 / .288 / .316

PA70

HR1

K%27

BB%9

MLB%0%

Scouting · now → future

HIT

31↗36

PWR

28↗33

SPD

48↗53

EYE

54↗59

trajectory · 10 yrs

1.4peak

2032

Contract

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

Status MiLB

MLB Debut 2032

Service 0 yrs (est)

Team Control Through 2037

First FA Year 2038

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2032
2027	MiLB	still in minors · estimated debut 2032
2028	MiLB	still in minors · estimated debut 2032
2029	MiLB	still in minors · estimated debut 2032
2030	MiLB	still in minors · estimated debut 2032
2031	MiLB	still in minors · estimated debut 2032
2032	Ext / FA-deal	$0.9M	+1.4	$13M	+$12M
2033	Ext / FA-deal	$1.0M	+1.3	$13M	+$12M
2034	Ext / FA-deal	$1.0M	+1.1	$11M	+$10M
2035	Ext / FA-deal	$2M	+0.9	$5M	+$3M
2036	Ext / FA-deal	$2M	+0.6	$3M	+$0.9M
2037	Ext / FA-deal	$2M	+0.4	$2M	+$0.2M
Totals		$9M		$47M	+$38M

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 Rays	39	34	7	0	0	0	4	6	1	7	4	.206	.308	.206	.514	.000	.250	15	10	.248	48	-2	-0	+0	+0	+1	-0.1
2023	18	ROK	DSL Tampa Bay	187	171	33	4	1	0	13	48	3	15	4	.193	.262	.228	.490	.035	.268	26	7	.218	25	-16	+1	+0	+1	+5	-0.9
2024	19	ROK	FCL Rays	161	140	22	2	0	0	16	61	2	7	8	.157	.253	.171	.425	.014	.275	38	10	.205	15	-15	-2	+0	+1	+5	-1.2
2025	20	ROK	FCL Rays	75	66	14	1	0	0	6	13	2	0	1	.212	.297	.227	.525	.015	.264	17	8	.245	46	-5	-0	+0	+0	+2	-0.3
▸ 2026 Season
2026	21	MLB	TB	70	63	12	2	0	1	6	19	1	1	0	.190	.271	.270	.541	.079	.284	27	9	.277	70	-2	+0	+0	+0	+2	0.0
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	22	MLB 11%	TB	155	138	31	6	1	3	14	40	2	3	1	.225	.305	.348	.653	.123	.285	26	9	.291	81	-3	+0	+0	+1	+4	0.2
2028	23	MLB 28%	TB	279	248	55	10	1	6	26	70	3	6	2	.222	.303	.343	.646	.121	.286	25	9	.299	87	-4	+0	+0	+1	+8	0.5
2029	24	MLB 45%	TB	369	326	75	14	2	9	36	91	4	8	2	.230	.314	.368	.682	.138	.287	25	10	.305	91	-4	+1	+0	+1	+10	0.9
2030	25	MLB 60%	TB	422	373	86	16	2	11	41	103	5	9	2	.231	.315	.373	.688	.142	.288	24	10	.308	94	-3	+1	+0	+2	+12	1.2
2031	26	MLB 77%	TB	455	402	93	17	2	12	45	111	5	9	2	.231	.316	.373	.690	.142	.288	24	10	.310	95	-2	+1	+0	+2	+13	1.3
2032	27	MLB 92%	TB	471	415	95	17	2	12	48	116	5	10	2	.229	.316	.366	.683	.137	.288	25	10	.310	95	-2	+1	+0	+2	+13	1.4
2033	28	MLB	TB	476	419	95	17	2	12	49	118	5	9	2	.227	.315	.363	.678	.136	.288	25	10	.309	95	-3	+1	-1	+2	+13	1.3
2034	29	MLB	TB	472	416	94	17	2	12	48	118	5	9	2	.226	.313	.363	.676	.137	.287	25	10	.307	93	-4	+1	-1	+2	+13	1.1
2035	30	MLB	TB	466	410	92	17	2	11	48	118	5	8	2	.224	.313	.356	.669	.132	.286	25	10	.304	91	-5	+1	-2	+2	+13	0.9
2036	31	MLB	TB	454	400	88	16	2	10	46	117	5	7	1	.220	.308	.345	.653	.125	.284	26	10	.300	88	-6	+1	-3	+2	+13	0.6
2037	32	MLB	TB	437	384	84	15	2	10	45	115	5	7	0	.219	.309	.346	.655	.128	.283	26	10	.295	84	-8	+1	-4	+2	+12	0.4
2038	33	MLB	TB	409	360	78	14	2	9	42	110	4	6	0	.217	.305	.342	.647	.125	.281	27	10	.290	80	-9	+1	-4	+1	+12	0.1
2039	34	MLB	TB	365	321	68	12	2	7	37	102	4	6	0	.212	.301	.327	.628	.115	.279	28	10	.283	75	-10	+1	-5	+1	+10	-0.2
▸ Career Totals (MLE all levels + projections)
Career	—			5762	5086	1122	197	25	125	570	1476	66	127	35	.221	.307	.343	.650	.122	.284	26	10	.295	84	-105	+11	-20	+21	+163	7.2
/ 162G	—			650	574	126	22	3	14	64	167	7	14	4	.220	.305	.341	.647	.122	.283	26	10	.295	84	-12	+1	-2	+2	+18	0.8

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	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 Rays	39	31	8	0	0	7	4	1	7	4	.258	.410	.258	.668	.000	.296	10	18	.330	110	+0	-0	—	—	+1	0.1
2023	18	ROK	DSL Tampa Bay	187	161	38	6	1	22	33	3	15	4	.236	.337	.286	.623	.050	.297	18	12	.294	83	-4	+1	—	—	+5	0.3
2024	19	ROK	FCL Rays	161	129	29	3	0	27	41	2	7	8	.225	.367	.248	.615	.023	.326	25	17	.296	85	-3	-2	—	—	+5	0.0
2025	20	ROK	FCL Rays	75	62	17	2	0	10	9	2	0	1	.274	.392	.306	.698	.032	.321	12	13	.328	109	+1	-0	—	—	+2	0.3

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
Juanfel Peguero (OGILVIE)	21	31→36	28→33	48→53	59	.212/.288/.316	.104	.284	1	1	27%	9%	70	-0.0	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Jose Lobatón 2006 · A	21	45	39→45	50→30	46	.215/.277/.302	.088	.284	6	8	25%	8%	60	-1.0	.215/.286/.335	.120	.300	12	3	30%	9%	73	-0.1	.241/.325/.370	.129	.305	12	0	23%	11%	94	+0.6
✕Oliver Dominguez 2010 · A	21	42	40	53→45	45	.203/.264/.297	.094	.272	7	11	27%	7%	54	-1.4	.203/.275/.297	.094	.274	7	13	26%	9%	59	-1.1	.193/.272/.288	.095	.266	7	12	28%	9%	53	-0.7
✕Shawn Zarraga 2010 · A	21	45	36→40	48→45	47	.210/.288/.277	.068	.290	4	5	27%	8%	59	-1.1	.233/.300/.320	.087	.305	6	8	24%	7%	76	+0.0	.272/.340/.355	.083	.316	4	2	14%	7%	101	+0.6
✕Brainer Bonaci 2023 · A	21	44→45	40→45	55→50	50	.208/.290/.307	.098	.287	7	16	28%	10%	68	-0.5	.222/.281/.341	.119	.304	12	11	29%	7%	72	-0.2	.227/.267/.356	.130	.303	16	8	30%	5%	67	-0.3
✕Adrian Abreu 2012 · A	21	40	38→40	47→55	47	.192/.263/.275	.082	.250	5	9	24%	8%	48	-1.9	.212/.292/.300	.088	.255	8	17	19%	9%	67	-0.5	.209/.299/.290	.080	.241	9	25	16%	10%	66	-0.2
●Leo Rivas 2019 · A	21	44→54	37→40	52→65	51	.204/.293/.279	.075	.289	4	14	28%	10%	62	-0.9	.196/.276/.281	.085	.293	6	9	32%	9%	56	-1.3	.238/.354/.331	.093	.320	9	44	25%	14%	100	+1.2
✕Dalton Pompey 2013 · A	20	40→50	40→45	55	44	.197/.264/.289	.093	.275	8	16	30%	8%	53	-1.5	.236/.299/.340	.104	.314	7	24	25%	8%	79	+0.3	.253/.315/.362	.109	.325	7	28	23%	8%	88	+0.8
✕Jon Del Campo 2009 · A	21	45	38→45	48→55	42	.211/.269/.296	.085	.311	5	6	32%	7%	56	-1.3	.203/.238/.284	.081	.270	4	7	25%	4%	38	-2.6	.267/.300/.379	.112	.337	12	18	24%	3%	90	+0.6
✕LeVon Washington 2012 · A	21	44	39→45	51→50	46	.205/.280/.288	.083	.305	6	13	32%	9%	59	-1.1	.234/.309/.335	.101	.341	7	12	30%	9%	82	+0.5	.246/.314/.364	.118	.341	8	12	28%	8%	89	+0.4
✕Carlos Rodriguez 2023 · A	20	38	40→45	47→45	45	.183/.271/.272	.089	.286	7	6	36%	10%	52	-1.6	.190/.265/.267	.077	.298	5	6	35%	9%	47	-1.9	.182/.268/.267	.085	.274	6	3	33%	10%	48	-0.6
✕Juan Mora 2021 · A	21	43	42→45	53→55	49	.209/.289/.316	.107	.254	9	14	21%	8%	70	-0.3	.226/.290/.341	.115	.304	10	11	28%	6%	77	+0.1	.220/.277/.325	.105	.292	10	8	27%	5%	65	-0.3
✕Robert Moore 2023 · A	21	43→42	42→40	50	42	.210/.273/.318	.108	.293	10	12	30%	7%	64	-0.8	.197/.260/.296	.099	.258	8	16	26%	7%	53	-1.5	.188/.253/.284	.096	.244	8	16	25%	6%	44	-1.6
●Colin Walsh 2011 · A	21	45→53	41→45	52→50	52	.215/.295/.312	.097	.270	8	10	22%	9%	72	-0.2	.225/.300/.348	.123	.272	11	8	20%	9%	82	+0.5	.212/.320/.332	.121	.306	11	7	31%	13%	85	+0.5
✕Blake Perkins 2018 · A	21	42→52	40→50	51→55	43	.206/.261/.296	.090	.274	8	14	27%	6%	52	-1.6	.202/.269/.286	.084	.291	7	17	30%	8%	53	-1.5	.228/.311/.359	.130	.302	13	25	27%	10%	87	+0.5
✕Marcus Littlewood 2013 · A	21	40	40→45	48→45	42	.199/.251/.289	.090	.268	8	7	28%	6%	46	-2.0	.201/.270/.308	.107	.268	9	5	27%	9%	60	-1.0	.205/.272/.318	.112	.262	10	4	25%	8%	60	-0.5
✕Jose Infante 2015 · A	21	43	37→40	50	46	.199/.298/.278	.079	.290	4	13	30%	8%	66	-0.6	.189/.275/.264	.075	.288	3	10	32%	8%	51	-1.7	.124/.216/.184	.060	.205	0	10	35%	8%	5	-1.1
✕Juan Brito 2022 · A	20	45→48	42→50	49→45	46	.222/.285/.324	.103	.281	10	12	24%	7%	70	-0.3	.230/.313/.368	.138	.279	13	9	21%	10%	94	+1.3	.226/.311/.371	.145	.266	15	9	20%	10%	91	+1.0
✕Arquímedes Gamboa 2019 · A	21	41→43	38→40	48→50	44	.198/.258/.273	.074	.270	5	7	28%	7%	45	-2.1	.184/.258/.260	.076	.274	5	14	32%	9%	42	-2.3	.195/.282/.288	.093	.289	8	15	32%	10%	56	-0.7
✕Derwin Barreto 2021 · A	20	42	40	51→50	48	.201/.278/.298	.097	.272	7	10	27%	9%	60	-1.0	.197/.273/.284	.087	.309	7	9	35%	9%	56	-1.3	.146/.234/.190	.044	.257	4	9	40%	9%	12	-0.9
✕C.J. Beatty 2010 · A	21	41	41→50	51→40	41	.201/.256/.299	.098	.284	9	9	31%	7%	51	-1.7	.211/.273/.328	.117	.294	10	5	29%	8%	66	-0.6	.207/.273/.340	.134	.281	11	2	29%	8%	65	-0.4

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)