Eyke Ugueto — OGILVIE

Eyke Ugueto3B DSL White Sox

Age 20 R/R 5'11" / 175 lbs ROK HR +4% Svc 0.0 · Ctrl thru 2037

2026 FULL-SEASON PROJECTIONpark-neutral Marcel · 60 proj PA

wRC+†64

AVG/OBP/SLG.205 / .281 / .287

PA5

HR0

K%28

BB%7

ISO83

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$6M ctrl surplus

Tools · Contract

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	+0.3	$0.8M	+$0.3M
2033	Pre-Arb	$1.0M	+0.3	$0.7M	+$0.2M
2034	Pre-Arb	$1.0M	+0.2	$0.4M	+$0.0M
2035	Arb-1	$1M	+0.1	$0.2M	+$0.0M (cut)
2036	Arb-2	$1M	—	—	—
2037	Ext	beyond projection horizon · no WAR estimate
Totals		$3M		$2M	+$0.5M

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)
2023	17	ROK	DSL White Sox	—	124	96	18	7	0	0	16	31	9	8	1	188	355	260	616	73	269	25	13	296	87	-2	+1	—	—	+3	0.2
2024	18	ROK	DSL White Sox	—	106	82	20	3	1	0	16	17	5	3	4	244	398	305	703	61	308	16	15	328	108	+1	-1	—	—	+2	0.2
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2023	17	ROK MLE	DSL White Sox	—	124	102	13	5	0	0	10	42	9	8	1	127	264	176	441	49	194	34	8	203	24	-11	+1	—	—	+3	-0.8
2024	18	ROK MLE	DSL White Sox	—	106	88	17	2	1	0	10	25	5	3	4	193	311	239	549	45	257	24	9	245	52	-6	-1	—	—	+2	-0.5
2023	17	ROK MLE	DSL White Sox	—	124	102	13	5	0	0	10	42	9	8	1	127	264	176	441	49	210	34	8	203	24	—	—	—	—	—	—
2023	17	ROK RAW	DSL White Sox	—	124	96	18	7	0	0	16	31	9	8	1	188	355	260	616	73	269	25	13	296	24	—	—	—	—	—	—
2024	18	ROK MLE	DSL White Sox	—	106	88	17	2	1	0	10	25	5	3	4	193	311	239	549	45	270	24	9	245	52	—	—	—	—	—	—
2024	18	ROK RAW	DSL White Sox	—	106	82	20	3	1	0	16	17	5	3	4	244	398	305	703	61	308	16	15	328	52	—	—	—	—	—	—
2023	17	ROK MLE	DSL White Sox	—	124	104	13	5	0	0	10	42	9	8	1	125	264	173	438	48	194	34	8	203	24	—	—	—	—	—	—
2024	18	ROK MLE	DSL White Sox	—	106	90	17	2	1	0	10	25	5	3	4	189	311	233	544	44	257	24	9	245	52	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	17	ROK MLE	DSL White Sox	—	124	104	13	5	0	0	10	42	9	8	1	125	264	173	438	48	194	34	8	203	24	—	—	—	—	—	—
2024	18	ROK MLE	DSL White Sox	—	106	90	17	2	1	0	10	25	5	3	4	189	311	233	544	44	257	24	9	245	52	—	—	—	—	—	—
▸ 2026 season
2026	20	MLB MLE	CWS	0%	5	5	1	0	0	0	0	1	0	0	0	200	200	200	400		287	20	0	263	64	-0	+0	+0	+0	+0	-0.1
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	21	MLB MLE	CWS	34%	118	106	22	4	1	1	9	32	2	2	0	208	282	292	575	85	289	27	8	275	72	-4	+0	+0	+0	+3	-0.1
2028	22	MLB MLE	CWS	48%	263	236	52	10	2	4	20	70	5	4	1	220	295	331	626	110	290	27	8	283	77	-7	+0	+0	+1	+6	-0.0
2029	23	MLB MLE	CWS	54%	367	328	72	14	2	6	29	96	7	6	1	220	297	329	626	110	291	26	8	288	81	-8	+1	+0	+1	+8	0.2
2030	24	MLB MLE	CWS	55%	439	393	88	16	3	8	35	114	8	7	2	224	300	341	641	117	292	26	8	292	84	-9	+1	+0	+2	+10	0.3
2031	25	MLB MLE	CWS	56%	481	431	97	18	3	10	38	125	9	8	2	225	301	350	652	125	292	26	8	294	85	-9	+1	+0	+2	+10	0.4
2032	26	MLB MLE	CWS	56%	506	451	102	19	3	10	40	132	10	8	2	226	303	348	652	122	292	26	8	295	86	-8	+1	+0	+2	+11	0.5
2033	27	MLB MLE	CWS	55%	517	461	104	19	3	11	41	135	10	8	2	226	303	351	654	126	292	26	8	295	86	-9	+1	+0	+2	+11	0.5
2034	28	MLB MLE	CWS	55%	520	463	104	19	3	11	42	136	10	8	2	225	303	350	653	125	291	26	8	294	85	-9	+1	-1	+2	+11	0.4
2035	29	MLB MLE	CWS	53%	515	458	102	19	3	10	42	136	10	7	2	223	302	343	645	120	290	26	8	292	84	-10	+1	-1	+2	+11	0.2
2036	30	MLB MLE	CWS	53%	507	451	100	18	3	10	41	135	10	6	2	222	301	341	642	120	289	27	8	289	82	-11	+0	-2	+2	+11	0.0
2027	21	MLB CTX	CWS	34%	41	37	9	2	0	1	3	11	1	1	0	243	317	378	695	135	290	27	7	261	72	-1	+0	+0	+0	+1	-0.0
2028	22	MLB CTX	CWS	48%	127	114	25	5	1	2	10	34	2	2	0	219	294	333	627	114	291	27	8	269	77	-3	+0	+0	+0	+3	0.0
2029	23	MLB CTX	CWS	54%	199	177	40	8	1	4	16	52	4	3	1	226	305	350	655	124	292	26	8	275	81	-4	+0	+0	+1	+4	0.1
2030	24	MLB CTX	CWS	55%	243	217	50	9	2	5	19	63	5	4	1	230	307	359	667	129	293	26	8	279	84	-5	+0	+0	+1	+5	0.2
2031	25	MLB CTX	CWS	56%	269	241	54	10	2	5	21	70	5	4	1	224	300	344	644	120	293	26	8	281	85	-5	+0	+0	+1	+6	0.2
2032	26	MLB CTX	CWS	56%	285	255	58	11	2	6	23	74	5	5	1	227	304	357	661	129	293	26	8	283	86	-5	+1	+0	+1	+6	0.3
2033	27	MLB CTX	CWS	55%	286	256	58	11	2	6	23	75	5	5	1	227	303	355	658	129	293	26	8	283	86	-5	+1	+0	+1	+6	0.3
2034	28	MLB CTX	CWS	55%	285	255	58	11	2	6	23	75	5	4	1	227	304	357	661	129	292	26	8	282	85	-5	+0	-0	+1	+6	0.2
2035	29	MLB CTX	CWS	53%	275	246	55	10	2	6	22	73	5	4	1	224	300	354	654	130	291	27	8	280	84	-5	+0	-1	+1	+6	0.1
2036	30	MLB CTX	CWS	53%	267	238	53	10	2	5	22	71	5	3	1	223	302	345	646	122	290	27	8	277	82	-6	+0	-1	+1	+6	0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2277	2036	460	87	16	46	182	598	42	35	8	226	303	352	655	126	296	26	8	279	81	-44	+4	-2	+8	+49	1.5
/ 162G	—	A+C		—	650	581	132	25	5	13	52	171	12	10	2	227	304	355	658	127	297	26	8	279	81	-13	+1	-1	+2	+14	0.4
Career	—	MLE		—	4468	3973	874	163	27	81	357	1179	95	75	21	220	300	336	635	116	290	26	8	288	81	-83	+6	-4	+15	+92	2.6
/ 162G	—	MLE		—	650	578	128	24	4	12	52	172	14	11	3	221	302	339	641	118	291	26	8	288	81	-13	+1	-1	+2	+14	0.4

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Gordon Beckhamlast yr '19 career totals — 10 seasons, 3,764 PA	5.7	3,764	80	34	237	301	368	+13	+19	8.2	8.4
/162	664	14	6	+2.4	+3.4	1.4	pk7: 9
#2Jace Petersonlast yr '23 career totals — 10 seasons, 2,753 PA	4.1	2,753	42	77	228	318	337	+4	+5	5.3	6.0
/162	664	10	19	+1.0	+1.3	1.3	pk7: 7
#3Chris Owingslast yr '22 career totals — 9 seasons, 2,420 PA	3.6	2,420	35	78	239	286	365	+13	-0	3.7	4.5
/162	664	10	21	+3.6	-0.1	1.0	pk7: 5
#4Dustin Ackleylast yr '16 career totals — 6 seasons, 2,347 PA	3.5	2,347	46	31	241	304	367	-5	+7	3.8	3.8
/162	664	13	9	-1.3	+1.9	1.1	pk7: 4
#5Guillermo 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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 6 projected seasons	3.5	2,337	45	36	224	298	345	+8	+3	3.0	2.9
/162	664	13	10	+2.4	+0.9	0.8	pk7: 3
#6Nick 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

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
Eyke Ugueto (OGILVIE)	20	—	—	—	—	205/281/287	82	287	1	1	28%	7%	64	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Luis Torrens 2016 · A	20	43→48	38→50	49→40	44	204/275/284	80	281	6	6	28%	7%	61	-1.5	210/273/293	83	267	6	4	22%	7%	62	-1.4	237/296/380	143	283	15	2	21%	6%	89	+0.2
✕Michael Hermosillo 2015 · A	20	42→47	39→50	51→55	43	200/270/292	92	292	6	11	32%	8%	61	-1.5	217/292/295	78	287	5	17	24%	8%	70	-0.9	227/300/346	119	306	11	20	28%	7%	83	+0.1
✕Jose Ramos 2021 · A	20	43→41	38→50	48→45	41	206/270/283	78	285	5	9	28%	6%	59	-1.7	214/277/357	143	320	16	4	36%	7%	78	-0.3	203/271/348	146	303	18	4	37%	7%	72	-0.5
✕Eddys Leonard 2021 · A	20	42→46	40→50	45→50	44	202/274/296	94	295	7	8	32%	8%	63	-1.3	225/292/371	146	302	16	5	30%	7%	87	+0.4	222/288/367	145	291	16	4	28%	6%	82	-0.0
✕Emilio King 2010 · A	20	40	37→45	51→40	43	190/274/270	79	258	4	9	26%	6%	58	-1.7	202/252/288	86	301	6	4	33%	4%	53	-2.1	211/249/305	94	308	7	2	33%	3%	52	-1.1
✕Stone Garrett 2016 · A	20	41→39	35→60	49→50	38	198/237/257	59	280	3	7	29%	5%	38	-3.2	171/211/255	84	305	6	8	44%	4%	29	-3.8	221/282/389	168	300	20	11	32%	7%	86	+0.2
✕Jhostynxon Garcia 2023 · A	20	38→41	41→50	48→50	45	182/267/286	104	281	8	8	35%	9%	59	-1.7	201/262/332	131	290	13	10	34%	6%	67	-1.1	219/271/366	148	290	19	9	30%	5%	75	-0.3
✕David Bote 2013 · A	20	42→49	38→50	50→45	43	198/270/283	85	290	4	8	31%	8%	59	-1.7	189/264/270	81	265	5	6	28%	7%	54	-2.0	237/312/394	157	303	18	6	26%	8%	96	+0.8
✕Leo Jiménez 2021 · A	20	44→49	37→45	50→45	46	209/267/287	78	267	4	6	23%	7%	57	-1.8	232/342/321	89	299	6	8	22%	10%	96	+1.0	228/319/335	107	286	10	5	22%	7%	87	+0.2
✕Christian Villanueva 2011 · A	20	45→46	37→55	48→50	39	212/262/290	78	295	4	8	29%	5%	56	-1.9	219/269/339	120	281	12	12	26%	5%	71	-0.8	223/280/397	174	256	23	3	23%	6%	88	+0.3
✕Yairo Muñoz 2015 · A	20	41→51	38→45	48→55	43	198/255/280	82	264	5	7	26%	6%	52	-2.2	222/257/325	103	272	10	9	22%	4%	62	-1.4	263/305/392	130	320	14	17	22%	5%	92	+0.4
●Maikel Garcia 2021 · A	21	43→53	36→50	51→60	42	203/261/270	67	295	3	13	31%	7%	51	-2.2	244/303/338	94	314	6	24	22%	8%	82	+0.0	261/321/393	132	295	10	24	15%	8%	100	+1.2
✕Kenny Hart 2010 · A	20	42	38→45	48→50	41	200/273/277	77	292	5	6	31%	7%	59	-1.7	211/296/309	98	281	8	11	26%	7%	75	-0.5	199/298/306	107	253	9	15	23%	7%	75	-0.1
✕Alexis Hernandez 2023 · A	20	40→48	39→50	47→50	46	194/260/277	83	243	6	11	22%	7%	53	-2.1	209/284/305	96	294	9	17	29%	8%	70	-0.9	215/291/342	128	289	14	18	29%	8%	78	-0.1
✕Brandon Barnes 2006 · A	20	37→47	38→55	47→50	37	184/237/264	80	266	6	6	32%	5%	41	-3.0	182/229/258	76	281	5	7	35%	5%	36	-3.3	243/288/366	124	328	11	16	28%	5%	82	+0.0
✕Jose Meza 2023 · A	20	41→40	41→45	48→50	41	200/267/299	99	282	9	10	31%	6%	61	-1.5	203/296/305	102	299	9	8	32%	10%	74	-0.5	186/292/283	98	277	9	10	33%	11%	67	-0.7
✕Jason Taylor 2008 · A	20	45→39	36→45	49→55	47	210/281/277	67	285	2	9	26%	8%	61	-1.5	211/283/328	117	266	11	19	24%	8%	74	-0.5	201/274/320	119	248	12	22	23%	8%	68	-0.5
✕Adrian Abreu 2011 · A	20	43	37→40	52→55	44	204/258/281	77	261	3	10	22%	6%	53	-2.1	205/283/290	85	253	7	15	20%	9%	65	-1.2	194/284/274	80	231	8	20	19%	10%	61	-0.5
✕Stanley Martinez 2017 · A	20	40	38→45	48→50	45	192/266/269	77	269	5	10	29%	8%	54	-2.0	216/284/317	101	292	9	7	27%	7%	72	-0.7	213/282/313	100	281	9	5	26%	7%	69	-0.3
✕Tucker Mitchell 2022 · A	21	42	40→45	51→45	39	201/262/293	92	296	7	7	33%	6%	57	-1.8	195/269/306	111	299	13	8	37%	7%	65	-1.2	180/257/292	111	259	15	7	35%	7%	55	-0.8

Career Stats + Projections

Career Comps

Career Path Comps