Odalys Peguero — OGILVIE

Odalys PegueroSS Charleston RiverDogs

Age 23 S/R 5'10" / 172 lbs A HR +6%H +4% Svc 0.0 · Ctrl thru 2036

2026 FULL-SEASON PROJECTIONpark-neutral Marcel · 154 proj PA

wRC+†55

AVG/OBP/SLG.193 / .270 / .266

PA13

HR0

K%26

BB%9

ISO73

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit-$0M ctrl surplus

Tools · ContractCON 34 / POW 33

Toolsscout grade

CONTACT34

scouting grade only

POWER33

scouting grade only

EYE56

scouting grade only

SPEED66

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	+0.1	$0.3M	+$0.0M (cut)
2032	Pre-Arb	$0.9M	—	—	—
2033	Pre-Arb	$1.0M	—	—	—
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		$0.0M	+$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)
2021	18	ROK	DSL Rays 1	—	215	172	47	4	3	1	36	39	4	21	6	273	410	349	759	76	341	18	17	351	124	+6	+2	—	—	+5	1.3
2022	19	ROK	FCL Rays	—	161	131	34	3	3	1	28	39	0	10	2	260	390	351	741	92	355	24	17	340	116	+3	+1	—	—	+3	0.8
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	103	+1	+1	—	—	+6	0.8
2023	20	ROK	FCL Rays	—	21	19	2	1	0	0	2	6	0	0	0	105	190	158	348	53	154	29	10	171	2	-2	+0	—	—	+0	-0.2
2023	20	INTL	Perth Heat	—	160	138	38	2	0	1	21	24	1	9	5	275	375	312	687	36	327	15	13	323	105	+1	-0	—	—	+3	0.4
2024	21	A	Charleston RiverDogs	—	294	245	41	7	0	0	41	67	3	25	0	167	294	196	490	29	229	23	14	240	49	-18	+5	—	—	+6	-0.7
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2021	18	ROK MLE	DSL Rays 1	—	215	188	38	3	2	1	20	57	4	21	6	202	292	255	548	53	267	27	9	249	55	-12	+2	—	—	+5	-0.5
2022	19	ROK MLE	FCL Rays	—	161	141	26	2	2	1	18	56	0	10	2	184	277	248	525	64	281	35	11	240	49	-10	+1	—	—	+3	-0.5
2023	20	A MLE	Charleston RiverDogs	—	261	231	42	9	4	2	24	75	2	12	4	182	265	281	546	100	249	29	9	246	53	-15	+1	—	—	+6	-0.8
2023	20	ROK MLE	FCL Rays	—	21	20	2	1	0	0	1	9	0	0	0	100	143	150	293	50	118	43	5	108	-41	-4	+0	—	—	+0	-0.3
2024	21	A MLE	Charleston RiverDogs	—	294	261	36	6	0	0	25	96	3	25	0	138	221	161	382	23	206	33	9	177	6	-33	+5	—	—	+6	-2.2
2021	18	ROK MLE	DSL Rays 1	—	215	188	38	3	2	1	20	57	4	21	6	202	292	255	548	53	278	27	9	249	55	—	—	—	—	—	—
2021	18	ROK RAW	DSL Rays 1	—	215	172	47	4	3	1	36	39	4	21	6	273	410	349	759	76	341	18	17	351	55	—	—	—	—	—	—
2022	19	ROK MLE	FCL Rays	—	161	141	26	2	2	1	18	56	0	10	2	184	277	248	525	64	291	35	11	240	49	—	—	—	—	—	—
2022	19	ROK RAW	FCL Rays	—	161	131	34	3	3	1	28	39	0	10	2	260	390	351	741	92	355	24	17	340	49	—	—	—	—	—	—
2023	20	A MLE	3 teams	—	442	395	69	16	7	3	40	131	3	21	9	175	256	273	529	99	249	30	9	236	46	—	—	—	—	—	—
2023	20	A RAW	3 teams	—	442	372	89	14	5	3	63	82	3	21	9	239	354	328	682	89	296	19	14	315	46	—	—	—	—	—	—
2024	21	A MLE	Charleston RiverDogs	—	294	261	36	6	0	0	25	96	3	25	0	138	221	161	382	23	217	33	9	177	6	—	—	—	—	—	—
2024	21	A RAW	Charleston RiverDogs	—	294	245	41	7	0	0	41	67	3	25	0	167	294	196	490	29	229	23	14	240	6	—	—	—	—	—	—
2021	18	ROK MLE	DSL Rays 1	—	215	189	38	3	2	1	20	57	4	21	6	201	292	254	546	53	267	27	9	249	55	—	—	—	—	—	—
2022	19	ROK MLE	FCL Rays	—	161	142	26	2	2	1	18	56	0	10	2	183	277	246	523	63	281	35	11	240	49	—	—	—	—	—	—
2023	20	A MLE	3 teams	—	442	396	69	16	7	3	40	131	3	21	9	174	256	273	528	98	239	30	9	236	46	—	—	—	—	—	—
2024	21	A MLE	Charleston RiverDogs	—	294	264	36	6	0	0	25	96	3	25	0	136	221	159	381	23	206	33	9	177	6	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	20	A MLE	3 teams	—	442	396	69	16	7	3	40	131	3	21	9	174	256	273	528	98	239	30	9	236	46	—	—	—	—	—	—
2024	21	A MLE	Charleston RiverDogs	—	294	264	36	6	0	0	25	96	3	25	0	136	221	159	381	23	206	33	9	177	6	—	—	—	—	—	—
▸ 2026 season
2026	23	MLB MLE	TB	0%	13	12	2	0	0	0	1	3	0	0	0	167	231	167	397		265	23	8	250	55	-1	+0	+0	+0	+0	-0.2
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	24	MLB MLE	TB	30%	174	155	31	6	1	2	15	45	2	4	1	200	279	290	569	90	269	26	9	264	65	-7	+0	+0	+2	+4	-0.1
2028	25	MLB MLE	TB	44%	283	253	53	11	1	4	25	72	3	7	1	209	288	308	597	99	271	25	9	273	71	-10	+1	+0	+3	+6	0.0
2029	26	MLB MLE	TB	51%	356	318	67	13	2	6	31	90	4	10	2	211	289	321	610	110	272	25	9	278	74	-11	+1	+0	+4	+8	0.2
2030	27	MLB MLE	TB	52%	397	355	75	15	2	7	35	100	4	11	2	211	289	324	613	113	273	25	9	279	75	-12	+1	+0	+4	+9	0.2
2031	28	MLB MLE	TB	53%	419	374	79	16	2	7	38	106	4	11	2	211	291	321	612	110	272	25	9	278	74	-13	+1	-1	+4	+9	0.1
2032	29	MLB MLE	TB	53%	426	380	80	16	2	7	39	109	4	11	2	211	291	318	609	108	272	26	9	276	73	-14	+1	-1	+5	+9	0.0
2033	30	MLB MLE	TB	56%	427	381	80	16	2	7	39	110	4	10	2	210	290	318	608	108	271	26	9	274	71	-15	+1	-2	+5	+9	-0.2
2027	24	MLB CTX	TB	30%	52	46	10	2	0	1	5	13	1	1	0	217	308	326	634	109	277	25	10	263	65	-2	+0	+0	+1	+1	-0.0
2028	25	MLB CTX	TB	44%	125	112	24	5	1	2	11	32	1	3	1	214	290	330	621	116	279	26	9	272	71	-4	+0	+0	+1	+3	-0.0
2029	26	MLB CTX	TB	51%	181	161	35	7	1	3	16	46	2	5	1	217	296	329	625	112	281	25	9	277	74	-6	+1	+0	+2	+4	0.1
2030	27	MLB CTX	TB	52%	208	185	41	8	1	4	19	52	2	6	1	222	301	341	642	119	281	25	9	278	75	-6	+1	+0	+2	+5	0.1
2031	28	MLB CTX	TB	53%	223	199	43	9	1	4	20	57	2	6	1	216	294	332	626	116	281	26	9	277	74	-7	+1	-0	+2	+5	0.1
2032	29	MLB CTX	TB	53%	224	200	43	9	1	4	20	57	2	6	1	215	293	330	623	115	280	25	9	275	73	-7	+1	-1	+2	+5	0.0
2033	30	MLB CTX	TB	56%	241	215	46	9	1	4	22	62	2	6	1	214	293	321	614	107	279	26	9	273	71	-8	+1	-1	+3	+5	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1254	1118	242	49	6	22	113	319	12	33	6	216	295	330	625	114	281	25	9	275	62	-41	+4	-2	+13	+27	0.2
/ 162G	—	A+C		—	650	580	125	25	3	11	59	165	6	17	3	216	295	326	621	110	280	25	9	275	62	-21	+2	-1	+7	+14	0.1
Career	—	MLE		—	3607	3213	636	120	23	45	326	975	35	141	29	198	279	292	571	94	267	27	9	259	62	-82	+8	-4	+27	+54	0.3
/ 162G	—	MLE		—	650	579	115	22	4	8	59	176	6	25	5	199	280	292	571	93	268	27	9	259	62	-21	+2	-1	+7	+14	0.1

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Sandy Leónlast yr '22 career totals — 9 seasons, 1,648 PA	2.5	1,648	31	1	209	276	313	+29	+56	6.4	6.7
/162	664	12	0	+11.9	+22.4	2.6	pk7: 7
#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
#3Guillermo Heredialast yr '22 career totals — 6 seasons, 1,530 PA	2.3	1,530	25	6	231	311	345	+3	+17	3.5	3.5
/162	664	11	3	+1.2	+7.6	1.5	pk7: 3
#4Ryan Goinslast yr '19 career totals — 7 seasons, 1,680 PA	2.5	1,680	22	6	230	279	335	+9	+21	2.0	2.0
/162	664	9	2	+3.7	+8.5	0.8	pk7: 2
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 4 projected seasons	2.1	1,408	21	36	209	285	313	+15	+12	0.9	1.0
/162	664	10	17	+7.1	+5.7	0.4	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

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	56	193/270/266	73	265	1	4	26%	9%	55	-0.5	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Roberto Caro 2016 · A	22	44→41	38→40	61→60	48	208/284/299	91	280	3	20	25%	8%	67	-1.1	208/276/283	75	319	2	18	32%	8%	60	-1.6	215/287/293	78	329	2	26	32%	8%	65	-0.6
✕Carlos Willoughby 2012 · A	23	46→44	36→40	57→60	48	213/282/285	72	270	2	21	21%	7%	63	-1.4	209/277/282	73	278	3	14	24%	8%	61	-1.5	199/276/253	54	270	0	13	24%	9%	51	-0.9
✕River Town 2022 · A	23	43→38	37→40	54→50	43	203/281/276	74	285	3	12	28%	7%	61	-1.5	210/295/314	104	266	10	15	23%	8%	76	-0.4	205/297/303	98	254	9	15	22%	9%	73	-0.4
✕Rubendy Jaquez 2022 · A	23	42→40	37→40	54→55	42	202/254/277	74	276	4	21	27%	6%	50	-2.3	210/253/295	85	277	6	15	25%	5%	53	-2.1	203/231/280	77	257	5	16	23%	3%	37	-1.1
✕J.T. Arruda 2022 · A	24	38→42	38→40	53→55	44	185/253/266	81	273	5	13	32%	8%	48	-2.5	202/277/292	90	295	6	20	31%	9%	63	-1.3	211/276/297	86	290	7	22	28%	8%	61	-0.9
✕Raul Linares 2013 · A	22	40	36→45	59→55	42	187/248/257	70	259	2	22	27%	6%	44	-2.8	210/259/304	94	279	6	10	25%	6%	58	-1.7	217/260/323	106	275	7	7	23%	5%	60	-0.5
✕Hayden Cantrelle 2022 · AA	23	34	41→40	54→60	55	164/295/260	96	258	8	24	35%	14%	66	-1.1	190/306/293	103	293	8	20	33%	12%	76	-0.4	190/308/293	103	292	8	21	33%	12%	74	-0.3
✕Gabriel Maciel 2022 · A	23	44→52	37→30	54→55	45	208/267/278	70	274	4	19	25%	7%	55	-1.9	220/279/301	81	282	5	13	22%	7%	65	-1.2	232/292/307	76	288	2	11	19%	7%	68	-0.4
✕Arquímedes Gamboa 2021 · AA	23	38→45	36→40	51→50	45	181/256/249	69	269	4	15	32%	9%	45	-2.7	201/280/295	94	290	8	14	30%	10%	65	-1.2	199/285/288	89	292	7	15	31%	10%	63	-0.8
✕Oliver Dominguez 2012 · A	23	40	40	52→45	49	197/272/290	93	263	7	15	27%	9%	61	-1.5	198/260/296	98	289	8	8	32%	7%	57	-1.8	182/242/277	95	271	7	3	34%	7%	44	-1.0
✕Terry Serrano 2009 · A	22	41	36→30	51→55	45	194/254/257	63	262	3	15	26%	7%	46	-2.6	209/290/282	73	320	3	15	32%	10%	65	-1.2	204/311/268	64	327	2	21	33%	13%	68	-0.5
✕Levi Michael 2014 · A	23	41→51	37→45	55	49	197/274/273	77	262	4	13	25%	9%	58	-1.7	224/291/308	84	296	4	16	24%	7%	72	-0.7	228/294/337	109	315	10	11	29%	5%	77	-0.2
✕Tyler Tolbert 2021 · A	23	42→49	35→45	58→65	42	194/270/251	58	300	3	21	34%	8%	52	-2.2	192/263/286	94	294	6	38	34%	8%	57	-1.8	227/289/306	79	310	6	60	27%	6%	68	-0.5
✕Gerard Hall 2011 · A	23	41→39	37→40	49→50	44	196/256/272	76	277	4	12	29%	7%	50	-2.3	214/268/301	87	306	3	10	29%	7%	61	-1.5	225/275/316	91	323	0	8	28%	6%	64	-0.7
✕Ronny Gil 2012 · A	23	47→40	36→40	56→50	40	219/266/290	71	301	3	16	27%	5%	57	-1.8	202/246/272	70	292	3	13	30%	5%	46	-2.6	191/236/256	66	276	1	13	30%	5%	35	-2.1
✕B.J. Guinn 2012 · A	23	46→44	35→40	55	40	212/261/271	59	305	2	21	30%	6%	51	-2.3	209/259/283	74	298	4	13	29%	6%	53	-2.1	205/257/281	76	285	4	10	28%	6%	50	-0.9
✕Noah Campbell 2022 · A	23	47→46	39→45	53→50	46	218/300/307	89	319	7	14	31%	9%	76	-0.4	217/298/318	101	328	7	11	33%	9%	77	-0.3	212/301/315	104	331	6	8	34%	10%	74	-0.3
✕Will Piwnica-Worms 2013 · A	23	41	36→40	52→50	47	193/261/264	71	245	3	7	22%	7%	51	-2.3	207/282/289	82	278	6	8	26%	8%	65	-1.2	203/283/282	80	272	6	8	26%	8%	62	-0.7
✕Cody Jones 2016 · A	23	47→48	35→30	56→55	43	217/272/277	60	305	1	18	28%	6%	57	-1.8	215/282/277	62	297	3	20	26%	8%	61	-1.5	210/283/266	56	287	3	23	26%	8%	57	-1.2
✕Matt Rudick 2022 · A	24	45→42	39→45	56→50	49	217/284/308	92	271	6	11	22%	8%	69	-0.9	210/297/315	105	263	8	14	22%	9%	76	-0.4	205/296/315	110	257	9	15	22%	9%	74	-0.4

Career Stats + Projections

Career Comps

Career Path Comps