Odalys Peguero — OGILVIE

Odalys PegueroSS Charleston RiverDogs

Age 23 S/R 5'10" / 172 lbs A Svc 0.0 · Ctrl thru 2036 peak 0.8 · 2030

wRC+†64

AVG/OBP/SLG.203 / .278 / .307

PA154

HR2

K%29

BB%8

MLB%0%

Scouting · now → future

HIT

29↗34

PWR

28↗33

SPD

61↗66

EYE

50↗55

trajectory · 10 yrs

0.8peak

2030

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	Arb-3	$0.9M	+0.8	$4M	+$3M
2032	Ext / FA-deal	$0.9M	+0.7	$3M	+$2M
2033	Ext / FA-deal	$1.0M	+0.5	$2M	+$1M
2034	Ext / FA-deal	$0.6M	+0.3	$2M	+$0.9M
2035	Ext / FA-deal	$5M	—	—	—
2036	Ext / FA-deal	$0.6M	—	—	—
Totals		$9M		$9M	+$0.4M

Why some years run red
On long-term deals the salary is locked in regardless of how the player ages. Late years are red whenever projected production drops below the AAV — that's expected, not a sign the deal is bad. The honest scorecard is the Net Surplus over the whole contract, not any single year.

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
2021	18	ROK	DSL Rays 1	215	188	36	2	2	1	20	58	4	21	6	.191	.283	.239	.522	.048	.265	27	9	.247	47	-13	+2	+0	+2	+6	-0.3
2022	19	ROK	FCL Rays	161	140	25	2	2	1	19	56	0	10	2	.179	.277	.243	.520	.064	.282	35	12	.243	44	-10	+1	+0	+2	+5	-0.3
2023	20	A	3 teams	442	395	69	16	7	3	40	131	3	21	9	.175	.256	.273	.529	.099	.249	30	9	.236	39	-31	+1	+0	+5	+13	-1.3
2024	21	A	Charleston RiverDogs	294	262	35	6	0	0	24	97	3	25	0	.134	.215	.156	.371	.023	.211	33	8	.176	-7	-36	+5	+0	+3	+8	-1.9
▸ 2026 Season
2026	23	MLB	TB	154	139	29	6	1	2	13	44	1	4	1	.209	.281	.309	.590	.101	.279	29	8	.269	64	-6	+0	+0	+2	+4	0.0
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	24	MLB 10%	TB	174	155	32	6	1	3	15	48	2	4	1	.206	.285	.316	.601	.110	.281	28	9	.279	72	-5	+0	+0	+2	+5	0.2
2028	25	MLB 25%	TB	283	253	56	11	2	6	25	77	3	7	1	.221	.299	.352	.651	.130	.283	27	9	.286	77	-7	+1	+0	+3	+8	0.5
2029	26	MLB 42%	TB	356	317	69	13	2	8	32	96	4	10	2	.218	.297	.347	.644	.129	.284	27	9	.290	80	-8	+1	+0	+4	+10	0.7
2030	27	MLB 58%	TB	397	353	77	15	2	9	37	107	4	11	2	.218	.299	.348	.648	.130	.284	27	9	.291	81	-9	+1	+0	+4	+11	0.8
2031	28	MLB 68%	TB	419	373	81	16	2	9	39	113	4	11	2	.217	.298	.343	.641	.126	.284	27	9	.290	80	-10	+1	-1	+4	+12	0.8
2032	29	MLB 77%	TB	426	379	82	16	2	9	40	116	4	11	1	.216	.298	.340	.638	.124	.283	27	9	.287	78	-11	+2	-1	+5	+12	0.7
2033	30	MLB 94%	TB	427	380	81	16	2	9	40	118	4	10	1	.213	.295	.337	.632	.124	.281	28	9	.284	76	-12	+2	-2	+5	+12	0.5
2034	31	MLB	TB	420	374	78	15	2	8	39	118	4	9	0	.209	.290	.324	.614	.115	.280	28	9	.281	73	-13	+2	-3	+4	+12	0.3
2035	32	MLB	TB	406	361	74	14	2	7	38	116	4	8	0	.205	.288	.313	.601	.108	.278	29	9	.276	69	-14	+2	-4	+4	+12	-0.0
2036	33	MLB	TB	379	338	69	13	2	7	35	111	3	7	0	.204	.285	.317	.601	.112	.277	29	9	.271	65	-15	+1	-4	+4	+11	-0.3
2037	34	MLB	TB	336	299	58	11	1	5	31	101	3	7	0	.194	.276	.288	.564	.094	.275	30	9	.264	60	-15	+1	-5	+4	+10	-0.5
▸ Career Totals (MLE all levels + projections)
Career	—			5289	4706	951	178	32	87	487	1507	50	176	28	.202	.284	.309	.593	.107	.275	28	9	.269	64	-214	+24	-20	+57	+150	-0.3
/ 162G	—			650	578	117	22	4	11	60	185	6	22	3	.202	.284	.311	.596	.109	.275	28	9	.269	64	-26	+3	-2	+7	+18	-0.0

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
2021	18	ROK	DSL Rays 1	215	172	47	4	3	1	36	39	4	21	6	.273	.410	.349	.759	.076	.341	18	17	.351	127	+6	+2	—	—	+6	1.5
2022	19	ROK	FCL Rays	161	131	34	3	3	1	28	39	0	10	2	.260	.390	.351	.741	.092	.355	24	17	.340	118	+3	+1	—	—	+5	0.9
2023	20	A	Charleston RiverDogs	261	215	49	11	5	2	40	52	2	12	4	.228	.354	.353	.708	.126	.285	20	15	.321	104	+1	+1	—	—	+7	1.0
2023	20	ROK	FCL Rays	21	19	2	1	0	0	2	6	0	0	0	.105	.190	.158	.348	.053	.154	29	10	.171	-11	-3	+0	—	—	+1	-0.2
2023	20	INTL	Perth Heat	160	138	38	2	0	1	21	24	1	9	5	.275	.375	.312	.687	.036	.327	15	13	.323	105	+1	-0	—	—	+5	0.5
2024	21	A	Charleston RiverDogs	294	245	41	7	0	0	41	67	3	25	0	.167	.294	.196	.490	.029	.229	23	14	.240	42	-19	+5	—	—	+8	-0.6

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
Odalys Peguero (OGILVIE)	23	29→34	28→33	61→66	55	.203/.278/.307	.104	.279	2	4	29%	8%	64	-0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Roberto Caro 2016 · A	22	44→39	38→40	61→60	48	.207/.284/.298	.091	.280	3	20	26%	8%	63	-0.9	.210/.279/.286	.076	.314	2	18	31%	8%	57	-1.2	.219/.291/.296	.077	.328	2	26	31%	8%	63	-0.4
✕Hayden Cantrelle 2022 · AA	23	35	41→45	54→55	54	.169/.297/.268	.099	.266	8	23	35%	14%	64	-0.8	.189/.306/.297	.108	.297	8	20	34%	13%	74	-0.1	.191/.310/.302	.111	.299	9	21	34%	12%	74	-0.0
✕Carlos Willoughby 2012 · A	23	46→41	36→40	58→60	48	.212/.281/.284	.072	.265	2	22	20%	7%	57	-1.2	.203/.268/.271	.068	.266	2	14	23%	7%	49	-1.8	.190/.262/.242	.051	.255	0	13	23%	8%	37	-1.1
✕Hoy Park 2019 · A	23	44→50	39→45	56→55	49	.210/.288/.294	.085	.276	6	17	25%	9%	63	-0.8	.228/.306/.323	.095	.301	7	16	25%	9%	79	+0.3	.219/.306/.338	.119	.290	13	18	27%	10%	79	+0.2
✕Anthony Jackson 2008 · A	24	42→52	41→40	59→55	41	.204/.255/.308	.105	.275	7	18	28%	6%	53	-1.5	.224/.278/.303	.079	.288	4	24	22%	6%	60	-1.0	.242/.311/.315	.073	.299	5	28	19%	8%	76	+0.0
✕Oliver Dominguez 2012 · A	23	41	40	52→45	49	.199/.274/.292	.093	.261	8	15	26%	9%	57	-1.2	.199/.264/.297	.098	.288	7	8	31%	8%	54	-1.4	.184/.244/.280	.096	.274	7	3	34%	7%	39	-0.9
✕Kaden Polcovich 2022 · AA	23	39	46→45	54→55	45	.196/.282/.327	.131	.279	14	17	33%	9%	71	-0.3	.195/.278/.316	.121	.271	12	17	31%	9%	66	-0.6	.183/.271/.296	.112	.254	11	19	30%	9%	55	-0.8
✕Noah Campbell 2022 · A	23	47	40→45	53→50	46	.221/.299/.315	.094	.319	7	14	31%	9%	74	-0.1	.217/.296/.322	.105	.332	8	11	33%	9%	75	-0.0	.209/.297/.321	.112	.336	7	8	36%	10%	70	-0.1
✕J.T. Arruda 2022 · A	24	39→42	38→40	53→55	43	.189/.254/.273	.084	.278	5	13	32%	8%	43	-2.2	.202/.277/.294	.092	.298	7	19	31%	9%	59	-1.1	.200/.277/.286	.086	.288	6	21	30%	9%	55	-0.9
✕River Town 2023 · A	24	41→38	45→40	55→50	46	.206/.287/.332	.126	.261	12	15	25%	8%	74	-0.1	.217/.304/.312	.095	.269	8	15	21%	9%	76	+0.1	.215/.313/.285	.071	.263	6	15	19%	10%	71	-0.1
✕Bryce Johnson 2019 · A	23	47→50	36→45	58→60	43	.214/.281/.283	.069	.322	2	20	32%	8%	57	-1.2	.212/.281/.300	.088	.317	5	21	32%	8%	62	-0.9	.232/.311/.335	.103	.321	8	29	28%	8%	80	+0.2
✕Corey Joyce 2022 · AA	23	41	39→45	53→50	39	.193/.262/.274	.080	.300	7	13	36%	7%	48	-1.9	.208/.307/.328	.120	.294	12	12	31%	10%	82	+0.5	.212/.315/.318	.105	.301	9	14	29%	10%	80	+0.2
✕Kale Kiser 2013 · A	23	42→40	42→45	55→50	44	.204/.282/.318	.114	.264	7	8	24%	6%	69	-0.4	.199/.260/.292	.093	.250	6	8	22%	6%	51	-1.7	.190/.247/.277	.087	.235	5	8	21%	5%	39	-1.1
✕Raul Linares 2014 · A	23	43	38→45	56→55	41	.204/.251/.288	.084	.278	4	15	27%	6%	45	-2.1	.211/.263/.307	.096	.276	6	9	24%	7%	56	-1.3	.206/.254/.317	.111	.257	6	9	22%	6%	51	-0.6
✕Rubendy Jaquez 2022 · A	23	42→38	37→40	55	41	.200/.249/.278	.077	.269	4	20	27%	6%	42	-2.3	.211/.253/.294	.083	.276	5	16	24%	5%	47	-1.9	.207/.235/.285	.078	.259	5	16	22%	3%	32	-1.0
✕Peyton Wilson 2023 · A	23	44→52	46→45	57→55	41	.218/.283/.349	.131	.303	13	19	31%	7%	76	+0.1	.220/.287/.339	.119	.295	10	18	27%	7%	75	-0.0	.213/.285/.330	.117	.285	10	19	27%	8%	69	-0.4
✕Kameron Misner 2021 · A	23	47→42	39→50	54→55	48	.219/.296/.307	.088	.304	7	13	28%	9%	70	-0.3	.201/.284/.337	.136	.322	14	21	38%	10%	74	-0.1	.192/.287/.345	.153	.303	17	26	39%	11%	74	-0.0
✕Lucas Montero 2008 · A	23	43→49	43→40	56→55	43	.214/.264/.326	.112	.268	9	18	24%	6%	61	-1.0	.224/.285/.317	.093	.290	8	28	24%	7%	68	-0.5	.225/.291/.308	.083	.299	6	30	25%	8%	63	-0.7
✕Corey Toups 2016 · A	23	48→47	41→45	56→50	46	.230/.290/.340	.110	.297	7	16	24%	7%	76	+0.0	.212/.273/.328	.116	.301	10	16	31%	6%	66	-0.6	.197/.262/.309	.112	.294	10	16	34%	7%	54	-1.0
✕Clay Fuller 2010 · A	23	44→46	42→45	56→55	46	.208/.289/.317	.109	.297	9	20	31%	9%	70	-0.3	.210/.272/.325	.115	.292	12	17	31%	7%	65	-0.7	.206/.260/.324	.118	.278	15	16	31%	5%	56	-0.8

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)