Yeison Oviedo — OGILVIE

Yeison OviedoSS DSL Giants Orange

Age 18 R/R 5'10" / 160 lbs ROK HR -15%H -3% Svc 0.0 · Ctrl thru 2037

2026 ROS PROJECTION204 act + 19 ros · stats below = ROS only

showingROS

wRC+†77

AVG/OBP/SLG.222 / .263 / .278

PA19

HR0

K%21

BB%5

BABIP300

ISO56

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$50M ctrl surplus

Tools · ContractCON 56 / POW 35

Toolsscout grade

CONTACT56

scouting grade only

POWER35

scouting grade only

EYE52

scouting grade only

SPEED53

scouting grade only

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	Pre-Arb	$0.9M	+1.1	$6M	+$5M
2033	Pre-Arb	$1.0M	+1.1	$5M	+$5M
2034	Pre-Arb	$1.0M	+1.1	$5M	+$4M
2035	Arb-1	$5M	+1.1	$4M	+$3M
2036	Arb-2	$8M	+1.1	$4M	+$1M
2037	Arb-3	$10M	+0.9	$2M	+$0.0M (cut)
Totals		$16M		$26M	+$18M

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)
2025	17	ROK	DSL Giants Black	—	71	60	11	3	0	0	9	12	2	1	0	183	310	233	543	50	229	17	13	265	66	-3	+0	—	—	+2	-0.1
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	17	ROK MLE	DSL Giants Black	—	71	64	9	2	0	0	5	17	2	1	0	141	225	172	397	31	187	24	7	186	12	-7	+0	—	—	+2	-0.6
2025	17	ROK MLE	DSL Giants Black	—	71	64	9	2	0	0	5	17	2	1	0	141	225	172	397	31	191	24	7	186	12	—	—	—	—	—	—
2025	17	ROK RAW	DSL Giants Black	—	71	60	11	3	0	0	9	12	2	1	0	183	310	233	543	50	229	17	13	265	12	—	—	—	—	—	—
2025	17	ROK MLE	DSL Giants Black	—	71	64	9	2	0	0	5	17	2	1	0	141	225	172	397	31	187	24	7	186	12	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2025	17	ROK MLE	DSL Giants Black	—	71	64	9	2	0	0	5	17	2	1	0	141	225	172	397	31	187	24	7	186	12	—	—	—	—	—	—
YTD	18	ROK MLE	SF	—	204	180	47	5	1	1	15	42	5	8	1	261	335	317	652	56	333	21	7	284	78	-5	+1	+0	+2	+4	0.3
▸ 2026 season
YTD	18	ROK RAW	SF	—	204	171	55	7	1	1	24	29	5	8	1	322	420	392	812	70	380	14	12	366	78	—	—	—	—	—	—
ROS	18	ROK MLE	SF	0%	19	18	4	1	0	0	1	4	0	0	0	222	263	278	541	56	305	21	5	283	77	-1	+0	+0	+0	+0	0.0
TOT	18	ROK MLE	SF	—	223	198	51	6	1	1	16	46	5	8	1	258	329	313	642	56	329	21	7	284	78	-6	+1	+0	+2	+5	0.3
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	19	MLB MLE	SF	34%	247	223	54	8	1	3	18	55	4	5	1	242	310	327	638	85	306	22	7	292	84	-5	+1	+0	+3	+5	0.4
2028	20	MLB MLE	SF	48%	374	336	83	13	2	6	29	83	6	7	2	247	318	351	669	104	307	22	8	299	89	-5	+1	+0	+4	+8	0.8
2029	21	MLB MLE	SF	54%	466	419	104	16	3	8	36	102	8	9	2	248	320	358	678	110	307	22	8	304	92	-4	+1	+0	+5	+10	1.2
2030	22	MLB MLE	SF	57%	531	475	118	18	3	9	42	116	9	11	2	248	321	356	677	107	307	22	8	307	94	-4	+1	+0	+6	+12	1.5
2031	23	MLB MLE	SF	58%	574	514	129	20	3	11	45	124	10	12	3	251	323	366	689	115	308	22	8	310	96	-3	+1	+0	+6	+12	1.7
2032	24	MLB MLE	SF	57%	602	539	135	21	3	11	48	130	10	12	3	250	323	362	685	111	309	22	8	311	97	-2	+1	+0	+6	+13	1.9
2033	25	MLB MLE	SF	57%	618	553	139	21	3	12	49	133	11	13	3	251	325	365	690	114	309	22	8	312	97	-2	+1	+0	+7	+13	2.0
2034	26	MLB MLE	SF	57%	625	559	141	22	3	12	50	134	11	13	3	252	326	367	693	114	309	21	8	312	98	-2	+1	+0	+7	+14	2.0
2035	27	MLB MLE	SF	55%	624	558	141	22	3	12	50	135	11	13	3	253	326	367	694	115	309	22	8	313	98	-2	+1	+0	+7	+14	2.0
2036	28	MLB MLE	SF	55%	620	553	139	21	3	12	51	135	11	12	3	251	327	365	692	114	309	22	8	312	97	-2	+1	-1	+7	+13	1.9
2037	29	MLB MLE	SF	53%	610	545	136	21	3	11	50	134	10	12	3	250	324	360	684	110	308	22	8	310	96	-3	+1	-1	+7	+13	1.7
2038	30	MLB MLE	SF	53%	599	535	133	20	3	11	49	133	10	11	2	249	323	359	682	110	307	22	8	307	94	-4	+1	-2	+6	+13	1.5
2039	31	MLB MLE	SF	57%	585	522	128	19	3	10	48	132	10	11	2	245	321	351	671	105	305	23	8	303	92	-6	+1	-3	+6	+13	1.2
2040	32	MLB MLE	SF	54%	566	506	122	18	3	9	46	129	9	10	2	241	316	342	657	101	303	23	8	298	88	-8	+1	-4	+6	+12	0.8
2041	33	MLB MLE	SF	58%	536	478	112	16	2	8	44	125	9	9	2	234	311	326	637	92	300	23	8	292	84	-10	+1	-4	+6	+12	0.4
2042	34	MLB MLE	SF	53%	489	439	101	14	2	7	39	117	8	8	2	230	305	319	623	89	295	24	8	284	78	-13	+1	-5	+5	+11	-0.1
2027	19	MLB CTX	SF	34%	85	78	18	3	0	1	6	19	1	2	0	231	294	308	602	77	301	22	7	275	84	-2	+0	+0	+1	+2	0.2
2028	20	MLB CTX	SF	48%	181	162	39	6	1	2	14	40	3	4	1	241	313	327	640	86	301	22	8	281	89	-2	+0	+0	+2	+4	0.4
2029	21	MLB CTX	SF	54%	253	227	54	8	1	4	20	55	4	5	1	238	311	335	646	97	301	22	8	286	92	-2	+1	+0	+3	+5	0.6
2030	22	MLB CTX	SF	57%	301	269	66	10	2	5	24	65	5	6	1	245	319	353	672	108	302	22	8	289	94	-2	+1	+0	+3	+7	0.9
2031	23	MLB CTX	SF	58%	330	295	73	11	2	6	26	71	6	7	1	247	321	359	680	112	303	22	8	291	96	-2	+1	+0	+4	+7	1.0
2032	24	MLB CTX	SF	57%	343	307	76	12	2	6	27	74	6	7	2	248	321	358	679	111	303	22	8	292	97	-1	+1	+0	+4	+7	1.1
2033	25	MLB CTX	SF	57%	351	314	78	12	2	6	28	76	6	7	2	248	322	357	679	108	303	22	8	293	97	-1	+1	+0	+4	+8	1.1
2034	26	MLB CTX	SF	57%	354	317	78	12	2	6	28	76	6	7	2	246	319	353	672	107	303	21	8	293	98	-1	+1	+0	+4	+8	1.1
2035	27	MLB CTX	SF	55%	346	309	77	12	2	6	28	75	6	7	2	249	324	359	683	110	303	22	8	294	98	-1	+1	+0	+4	+7	1.1
2036	28	MLB CTX	SF	55%	340	303	75	11	2	6	28	74	6	7	1	248	323	356	680	109	303	22	8	293	97	-1	+1	-0	+4	+7	1.1
2037	29	MLB CTX	SF	53%	326	290	72	11	2	6	27	71	6	6	1	248	325	362	687	114	303	22	8	291	96	-2	+1	-1	+3	+7	0.9
2038	30	MLB CTX	SF	53%	315	281	68	10	2	5	26	70	5	6	1	242	317	345	663	103	302	22	8	289	94	-2	+1	-1	+3	+7	0.8
2039	31	MLB CTX	SF	57%	331	295	71	11	2	5	27	74	6	6	1	241	317	342	659	102	300	22	8	285	92	-3	+1	-2	+4	+7	0.7
2040	32	MLB CTX	SF	54%	308	275	64	9	1	5	25	70	5	5	1	233	308	327	635	95	297	23	8	280	88	-4	+1	-2	+3	+7	0.4
2041	33	MLB CTX	SF	58%	310	277	63	9	1	4	25	72	5	5	1	227	303	310	613	83	294	23	8	275	84	-6	+1	-2	+3	+7	0.2
2042	34	MLB CTX	SF	53%	260	233	52	7	1	3	21	62	4	4	1	223	298	300	599	77	290	24	8	267	78	-7	+0	-3	+3	+6	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	4734	4232	1024	154	25	76	380	1044	80	91	19	242	316	344	660	102	302	22	8	287	92	-40	+11	-11	+51	+103	11.5
/ 162G	—	A+C		—	650	581	140	21	3	10	52	143	11	12	3	241	315	339	654	98	301	22	8	287	92	-6	+1	-1	+7	+14	1.6
Career	—	MLE		—	8756	7836	1928	293	43	152	700	1938	149	169	38	246	320	353	672	107	307	22	8	304	92	-76	+18	-20	+93	+188	20.8
/ 162G	—	MLE		—	650	582	143	22	3	11	52	144	11	13	3	246	319	351	670	105	307	22	8	304	92	-6	+1	-1	+7	+14	1.6

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Erick Aybarlast yr '17 career totals — 11 seasons, 5,588 PA	8.4	5,588	58	154	271	314	372	+58	+49	22.0	21.3
/162	664	7	18	+6.9	+5.8	2.6	pk7: 21
#2Kolten Wonglast yr '23 career totals — 11 seasons, 4,283 PA	6.5	4,283	86	120	256	330	390	+15	+21	18.4	17.8
/162	664	13	19	+2.4	+3.2	2.8	pk7: 17
#3Freddy Galvislast yr '21 career totals — 10 seasons, 4,238 PA	6.4	4,238	109	57	246	292	387	+42	+68	18.0	17.6
/162	664	17	9	+6.6	+10.6	2.8	pk7: 17
#4Jordy Mercerlast yr '21 career totals — 9 seasons, 3,394 PA	5.1	3,394	66	13	257	315	387	+35	+50	17.0	16.7
/162	664	13	3	+6.9	+9.8	3.3	pk7: 17
#5Zack Cozartlast yr '19 career totals — 8 seasons, 3,350 PA	5.0	3,350	85	21	246	300	398	+33	+38	14.2	14.8
/162	664	17	4	+6.6	+7.6	2.8	pk7: 15
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 10 projected seasons	7.3	4,838	84	94	248	317	356	+50	+30	15.1	12.1
/162	664	12	13	+6.9	+4.1	2.1	pk7: 9
#6Bobby Crosbylast yr '10 career totals — 7 seasons, 2,832 PA	4.3	2,832	62	34	238	305	374	+28	+33	11.6	11.6
/162	664	15	8	+6.7	+7.7	2.7	pk7: 12

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
Yeison Oviedo (OGILVIE)	18	51→56	30→35	48→53	52	236/304/310	74	305	1	3	23%	7%	77	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Osleivis Basabe 2019 · A	18	51→61	38→45	49→50	48	238/291/324	86	288	3	12	18%	7%	74	-0.5	234/279/310	76	290	3	12	19%	5%	66	-1.1	270/316/373	102	329	4	17	18%	5%	92	+0.5
✕Rubén Tejada 2008 · A	18	50→60	38→40	51→50	50	237/313/315	78	287	5	13	18%	8%	82	-0.0	227/281/295	68	274	3	9	17%	6%	65	-1.2	245/328/327	82	296	5	2	17%	9%	81	-0.0
✕Jose Paez 2013 · A	19	49	40→45	51→50	43	233/286/331	98	308	6	13	25%	6%	74	-0.5	210/256/293	83	314	4	11	32%	5%	55	-2.0	178/220/246	68	283	3	12	36%	4%	26	-1.1
✕Dilson Herrera 2012 · A	18	46→56	39→50	50	47	218/290/315	98	283	4	13	23%	7%	74	-0.6	226/277/349	123	297	11	12	27%	6%	76	-0.4	254/305/388	134	310	14	13	22%	6%	92	+0.7
✕Carlos Arroyo 2019 · A	18	50	35→30	50	51	231/310/281	51	284	3	13	19%	8%	74	-0.6	221/279/288	67	257	4	15	15%	6%	63	-1.4	183/236/245	62	242	4	19	25%	4%	36	-1.1
✕Luis Santana 2018 · A	19	52	39→45	54→50	50	243/311/343	100	274	5	11	13%	7%	87	+0.4	246/316/336	90	288	6	9	16%	7%	88	+0.4	234/303/348	114	293	12	10	23%	6%	83	+0.0
✕Alexander Albertus 2023 · A	18	50	36→45	55→45	57	230/329/297	67	301	2	9	22%	12%	84	+0.2	231/325/325	94	288	8	10	21%	11%	89	+0.5	229/319/329	99	290	10	8	22%	11%	86	+0.1
✕Ivan Ramirez 2010 · A	18	50	38→40	50→40	43	235/293/316	81	288	5	5	20%	5%	74	-0.5	244/294/308	64	287	3	3	15%	6%	72	-0.7	263/310/310	48	297	2	1	12%	6%	79	-0.1
✕Mikey Edie 2015 · A	18	48	37→30	47→50	45	227/308/301	74	283	5	13	20%	6%	78	-0.3	214/275/269	55	304	2	15	29%	5%	57	-1.8	194/246/238	44	286	1	12	31%	3%	36	-1.2
✕Ke'Bryan Hayes 2016 · A	19	51→55	35→50	51→50	47	234/301/289	55	301	2	9	22%	7%	72	-0.7	230/284/315	85	296	6	12	23%	6%	70	-0.8	257/314/398	140	314	13	16	21%	7%	99	+1.0
✕Victor Rodrigues 2023 · A	18	41	38→30	49→50	43	196/259/277	81	254	5	7	24%	6%	53	-2.1	212/289/284	72	268	5	9	21%	9%	66	-1.1	221/317/274	53	274	5	10	19%	11%	72	-0.3
✕Jesus Rodriguez 2021 · A	19	46→55	42→45	49→50	46	224/285/337	113	288	9	9	25%	8%	76	-0.4	235/301/339	104	297	6	12	21%	8%	82	+0.0	256/318/360	105	310	9	16	19%	7%	92	+0.5
✕Andy Paz 2012 · A	19	50	36→40	44→45	50	231/310/298	67	290	3	8	20%	8%	77	-0.3	208/273/281	73	275	4	5	24%	8%	59	-1.7	214/269/283	68	275	5	4	23%	7%	54	-0.5
✕Leo Rivas 2016 · A	18	44→54	37→40	52→65	44	204/291/284	80	291	3	16	28%	8%	68	-1.0	208/298/282	74	292	3	17	27%	10%	69	-0.9	241/356/333	92	321	9	44	24%	14%	102	+1.0
✕Jose Astudillo 2022 · A	18	43	37→45	52→55	46	204/259/278	73	249	3	9	19%	6%	53	-2.1	228/282/303	75	268	3	15	15%	6%	67	-1.1	286/329/371	85	315	6	22	11%	5%	96	+0.4
✕Samad Taylor 2017 · A	19	45→54	38→45	50→65	42	214/266/292	78	290	4	10	27%	6%	58	-1.7	192/258/286	94	273	6	18	30%	7%	55	-2.0	235/311/365	130	323	13	46	29%	9%	92	+0.4
✕Johan Rojas 2019 · A	18	50→58	37→45	51→65	42	235/282/311	76	289	4	14	20%	4%	68	-1.0	225/276/321	96	287	5	15	22%	6%	69	-0.9	254/296/351	97	318	7	41	21%	5%	80	-0.1
✕Luisangel Acuña 2021 · A	19	49→55	38→45	51→60	51	232/298/315	83	281	5	13	18%	8%	76	-0.4	230/288/333	103	317	10	30	29%	7%	76	-0.4	238/295/340	102	321	10	39	28%	7%	77	-0.3
✕Edward Duran 2022 · A	18	49→45	37→40	49→45	47	229/297/310	81	289	3	9	21%	7%	75	-0.5	215/287/285	70	278	2	8	22%	8%	65	-1.2	224/302/303	80	300	5	8	25%	8%	73	-0.3
✕Emmanuel Avila 2007 · A	18	47→57	36→45	50→45	51	217/297/292	76	290	2	9	24%	10%	71	-0.8	206/254/266	60	262	3	6	21%	5%	47	-2.5	278/317/371	94	319	8	6	15%	4%	95	+0.7

Career Stats + Projections

Career Comps

Career Path Comps