Yulian Barreto — OGILVIE

Yulian BarretoSS ACL Giants

Age 18 R/R 5'10" / 201 lbs ROK HR -15%H -3% Svc 0.0 · Ctrl thru 2037

2026 ROS PROJECTION173 act + 17 ros · stats below = ROS only

showingROS

wRC+†58

AVG/OBP/SLG.125 / .176 / .125

PA17

HR0

K%29

BB%6

BABIP282

ISO85

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$19M ctrl surplus

Tools · ContractCON 52 / POW 40

Toolsscout grade

CONTACT52

scouting grade only

POWER40

scouting grade only

EYE54

scouting grade only

SPEED50

scouting grade only

DEFENSE52

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	+0.6	$2M	+$1M
2033	Pre-Arb	$1.0M	+0.6	$1M	+$1.0M
2034	Pre-Arb	$1.0M	+0.6	$1M	+$0.9M
2035	Arb-1	$3M	+0.6	$1M	+$0.0M (cut)
2036	Arb-2	$5M	+0.5	$0.9M	+$0.0M (cut)
2037	Arb-3	$6M	+0.4	$0.7M	+$0.0M (cut)
Totals		$3M		$7M	+$3M

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 Orange	—	227	180	58	6	2	1	36	33	8	9	4	322	455	394	850	72	383	15	16	389	150	+13	+0	—	—	+5	1.9
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	17	ROK MLE	DSL Giants Orange	—	227	193	49	5	2	1	23	49	8	9	4	254	357	316	673	62	312	22	10	295	86	-4	+0	—	—	+5	0.1
2025	17	ROK MLE	DSL Giants Orange	—	227	193	49	5	2	1	23	49	8	9	4	254	357	316	673	62	329	22	10	295	86	—	—	—	—	—	—
2025	17	ROK RAW	DSL Giants Orange	—	227	180	58	6	2	1	36	33	8	9	4	322	455	394	850	72	383	15	16	389	86	—	—	—	—	—	—
2025	17	ROK MLE	DSL Giants Orange	—	227	194	49	5	2	1	23	49	8	9	4	253	357	314	672	62	312	22	10	295	86	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2025	17	ROK MLE	DSL Giants Orange	—	227	194	49	5	2	1	23	49	8	9	4	253	357	314	672	62	312	22	10	295	86	—	—	—	—	—	—
YTD	18	ROK MLE	SF	—	173	155	27	3	1	1	8	63	7	5	1	174	247	226	473	52	280	36	5	215	32	-14	+1	+0	+2	+4	-0.8
▸ 2026 season
YTD	18	ROK RAW	SF	—	173	149	36	5	1	2	14	44	7	5	1	242	335	329	664	87	324	25	8	303	32	—	—	—	—	—	—
ROS	18	ROK MLE	SF	0%	17	16	2	0	0	0	1	5	0	0	0	125	176	125	301		287	29	6	253	58	-1	+0	+0	+0	+0	-0.0
TOT	18	ROK MLE	SF	—	190	171	29	3	1	1	9	68	7	5	1	170	241	216	457	47	269	36	5	218	34	-15	+1	+0	+2	+4	-0.8
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	19	MLB MLE	SF	34%	276	248	53	8	2	4	20	80	6	5	1	214	288	310	599	97	290	29	7	267	67	-11	+1	+1	+3	+6	-0.0
2028	20	MLB MLE	SF	48%	396	356	77	12	2	7	29	112	8	7	2	216	290	320	610	104	292	28	7	277	74	-12	+1	+1	+4	+9	0.2
2029	21	MLB MLE	SF	54%	487	438	96	15	3	9	36	135	10	9	2	219	293	329	622	110	293	28	7	283	78	-13	+1	+2	+5	+11	0.6
2030	22	MLB MLE	SF	57%	550	493	110	18	3	11	41	151	11	10	3	223	297	339	636	116	293	27	7	287	80	-13	+1	+2	+6	+12	0.8
2031	23	MLB MLE	SF	58%	593	531	118	19	3	12	45	162	12	11	3	222	298	337	635	115	294	27	8	289	82	-13	+1	+2	+6	+13	0.9
2032	24	MLB MLE	SF	57%	617	552	125	20	4	13	47	168	13	12	3	226	302	348	650	121	295	27	8	291	83	-13	+1	+2	+7	+13	1.1
2033	25	MLB MLE	SF	57%	628	562	126	20	4	13	48	170	13	12	3	224	300	343	644	119	295	27	8	292	83	-12	+1	+2	+7	+14	1.1
2034	26	MLB MLE	SF	57%	635	568	127	20	4	13	49	172	13	12	3	224	300	342	642	118	295	27	8	292	84	-12	+1	+2	+7	+14	1.2
2035	27	MLB MLE	SF	55%	634	567	127	20	4	13	49	172	13	12	3	224	300	342	643	118	295	27	8	292	84	-12	+1	+2	+7	+14	1.2
2036	28	MLB MLE	SF	55%	630	562	125	20	3	13	50	172	13	12	3	222	301	338	639	116	294	27	8	291	83	-13	+1	+1	+7	+14	1.0
2037	29	MLB MLE	SF	53%	619	552	122	19	3	13	49	171	13	11	3	221	300	337	637	116	294	28	8	289	82	-13	+1	+1	+7	+13	0.8
2038	30	MLB MLE	SF	57%	609	543	119	19	3	12	48	169	13	11	3	219	298	331	630	112	293	28	8	287	80	-14	+1	-0	+7	+13	0.6
2039	31	MLB MLE	SF	60%	595	531	115	18	3	11	47	167	12	10	3	217	295	324	619	107	291	28	8	283	78	-16	+1	-1	+6	+13	0.3
2040	32	MLB MLE	SF	61%	576	514	109	17	3	10	45	164	12	9	2	212	291	315	606	103	288	28	8	278	74	-18	+1	-2	+6	+12	0.0
2027	19	MLB CTX	SF	34%	95	86	18	3	1	1	7	28	2	2	0	209	284	302	587	93	285	29	7	247	67	-4	+0	+0	+1	+2	0.0
2028	20	MLB CTX	SF	48%	192	172	37	6	1	3	14	54	4	3	1	215	289	314	603	99	286	28	7	256	74	-6	+0	+1	+2	+4	0.1
2029	21	MLB CTX	SF	54%	264	236	52	8	2	5	20	73	6	5	1	220	298	335	632	114	287	28	8	262	78	-7	+1	+1	+3	+6	0.3
2030	22	MLB CTX	SF	57%	311	279	61	10	2	6	23	85	6	6	2	219	292	333	626	115	288	27	7	266	80	-7	+0	+1	+3	+7	0.4
2031	23	MLB CTX	SF	58%	341	305	67	11	2	6	26	93	7	6	2	220	296	328	624	108	289	27	8	268	82	-7	+0	+1	+4	+7	0.5
2032	24	MLB CTX	SF	57%	352	315	69	11	2	7	27	96	7	7	2	219	295	333	628	114	289	27	8	269	83	-7	+1	+1	+4	+8	0.6
2033	25	MLB CTX	SF	57%	356	318	70	11	2	7	27	97	8	7	2	220	297	333	631	113	289	27	8	270	83	-7	+1	+1	+4	+8	0.6
2034	26	MLB CTX	SF	57%	359	321	70	11	2	7	27	97	8	7	2	218	295	330	625	112	289	27	8	270	84	-7	+1	+1	+4	+8	0.6
2035	27	MLB CTX	SF	55%	352	315	69	11	2	7	27	96	7	7	2	219	295	333	628	114	289	27	8	270	84	-7	+1	+1	+4	+8	0.6
2036	28	MLB CTX	SF	55%	346	309	68	11	2	7	27	95	7	6	2	220	297	337	634	117	289	27	8	269	83	-7	+0	+1	+4	+7	0.5
2037	29	MLB CTX	SF	53%	331	295	64	10	2	6	26	91	7	6	2	217	296	325	621	108	288	27	8	268	82	-7	+0	+0	+4	+7	0.4
2038	30	MLB CTX	SF	57%	348	310	66	10	2	6	28	97	7	6	2	213	293	316	609	103	287	28	8	265	80	-8	+0	-0	+4	+8	0.3
2039	31	MLB CTX	SF	60%	355	317	67	10	2	6	28	100	7	6	2	211	290	312	602	101	285	28	8	262	78	-9	+0	-1	+4	+8	0.2
2040	32	MLB CTX	SF	61%	353	315	66	10	2	6	28	101	7	6	2	210	289	311	600	102	283	29	8	257	74	-11	+0	-1	+4	+8	-0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	4355	3893	844	133	26	80	335	1203	90	80	24	217	294	326	620	109	290	28	8	266	80	-102	+6	+8	+47	+94	5.4
/ 162G	—	A+C		—	650	581	126	20	4	12	50	180	13	12	4	217	293	327	621	110	290	28	8	266	80	-15	+1	+1	+7	+14	0.8
Career	—	MLE		—	8089	7226	1600	250	46	155	627	2219	170	152	41	221	299	333	632	112	295	27	8	287	80	-186	+14	+14	+84	+170	9.8
/ 162G	—	MLE		—	650	581	128	20	4	12	50	178	14	12	3	220	298	330	628	110	294	27	8	287	80	-15	+1	+1	+7	+14	0.8

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Bobby 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
#2Danny Espinosalast yr '17 career totals — 8 seasons, 3,267 PA	4.9	3,267	98	64	221	297	378	+16	+36	11.0	11.4
/162	664	20	13	+3.2	+7.3	2.2	pk7: 12
#3Cliff Penningtonlast yr '17 career totals — 10 seasons, 3,108 PA	4.7	3,108	36	84	243	310	341	+28	+29	9.2	9.5
/162	664	8	18	+5.9	+6.2	2.0	pk7: 10
#4Gordon 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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 9 projected seasons	6.9	4,551	88	82	222	295	335	+49	+9	7.2	6.1
/162	664	13	12	+7.1	+1.3	1.1	pk7: 5
#5Ronny Cedenolast yr '13 career totals — 9 seasons, 2,783 PA	4.2	2,783	40	39	246	289	354	+28	+19	5.5	5.6
/162	664	10	9	+6.7	+4.5	1.3	pk7: 6
#6Yolmer Sánchezlast yr '19 career totals — 6 seasons, 2,438 PA	3.7	2,438	31	30	244	299	357	+9	+26	5.4	5.4
/162	664	8	8	+2.4	+7.2	1.5	pk7: 5

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
Yulian Barreto (OGILVIE)	18	52	40	50	54	199/271/274	75	287	2	4	30%	7%	58	-0.6	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Ricardo Cova 2022 · A	18	44→50	38→45	47→55	45	210/277/286	76	271	6	9	24%	6%	62	-1.4	207/267/292	85	318	6	15	35%	6%	59	-1.6	229/275/344	115	283	10	21	22%	5%	72	-0.5
✕Darell Hernaiz 2021 · A	19	45→55	39→45	52→50	44	211/276/297	86	310	7	9	32%	8%	63	-1.3	236/282/327	91	298	8	17	23%	5%	72	-0.7	253/310/346	93	295	7	12	16%	7%	85	+0.2
✕Gilberto Celestino 2017 · A	18	43→52	38→45	54→55	48	203/273/292	90	270	5	13	25%	8%	61	-1.5	209/261/295	86	283	6	11	27%	6%	57	-1.8	234/311/308	74	302	5	10	22%	9%	76	-0.2
✕Aroon Escobar 2023 · A	18	42→45	39→45	47→55	48	202/296/282	81	254	6	12	22%	8%	70	-0.9	210/296/305	95	253	9	16	20%	9%	74	-0.5	215/297/320	105	260	12	19	21%	8%	77	-0.2
✕Jose Monserrate 2023 · A	18	47	38→40	50	45	221/288/307	86	288	5	13	24%	7%	71	-0.8	215/291/282	67	299	3	21	26%	8%	66	-1.1	187/271/231	44	298	1	34	34%	9%	45	-0.6
✕Jonathan Galvez 2009 · A	18	45→48	39→45	51→55	53	209/310/290	81	290	7	9	27%	11%	76	-0.4	212/285/327	115	307	10	14	32%	8%	74	-0.5	235/283/350	115	329	10	23	30%	5%	76	-0.3
✕Ramon Mendoza 2019 · A	18	46→49	41→45	48→45	46	220/292/328	108	287	7	4	25%	7%	77	-0.3	209/280/296	87	296	5	4	29%	7%	65	-1.2	230/307/340	110	300	10	3	25%	9%	83	+0.0
✕Jacob Amaya 2018 · A	19	44→45	39→45	48→45	46	210/278/294	84	284	6	8	27%	8%	64	-1.3	223/301/315	92	295	6	8	24%	10%	77	-0.3	207/279/322	115	260	13	5	25%	9%	69	-0.8
✕Sterling Guzman 2016 · A	18	47	37→40	52→45	47	220/283/299	79	285	4	8	23%	7%	66	-1.1	208/271/299	91	293	7	7	29%	7%	62	-1.4	155/215/251	96	213	12	2	33%	6%	28	-0.9
✕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
✕Eddys Leonard 2019 · A	18	41→46	41→50	48→50	48	200/282/301	101	267	9	14	27%	9%	68	-1.0	209/282/325	116	301	11	8	32%	8%	73	-0.6	222/288/367	145	291	16	4	28%	6%	82	-0.0
✕Jorge Mateo 2013 · A	18	44→48	40→50	51→65	48	211/282/302	91	281	6	10	26%	9%	67	-1.1	211/270/308	97	287	7	34	27%	7%	64	-1.3	213/255/343	130	274	13	52	27%	5%	65	-0.4
✕Jorge Alcantara 2011 · A	19	45	41→45	51→50	43	216/278/319	103	302	7	11	30%	7%	70	-0.9	198/267/295	97	299	7	13	33%	8%	60	-1.6	147/226/244	97	221	6	25	34%	8%	33	-1.0
✕Francisco Herrera 2012 · A	18	46	40→45	47→30	49	220/280/315	95	261	7	8	19%	7%	70	-0.9	225/284/324	99	267	9	5	19%	6%	73	-0.6	225/284/320	95	260	10	3	17%	6%	71	-0.3
✕Juan Mora 2019 · A	19	45	38→45	46→55	49	211/291/293	83	275	4	8	23%	9%	69	-0.9	213/293/326	113	268	10	14	23%	8%	78	-0.3	212/279/323	110	272	10	12	25%	6%	70	-0.4
✕Dubal Baez 2011 · A	18	46	36→30	50→60	46	214/289/282	68	300	4	7	28%	8%	65	-1.2	214/302/264	50	297	2	18	26%	8%	68	-1.0	217/309/247	30	304	0	28	25%	8%	63	-0.4
✕Luis Palacios 2007 · A	18	43	37→40	50	47	203/279/272	70	286	4	13	29%	8%	59	-1.6	204/261/283	79	271	5	7	25%	6%	55	-2.0	192/241/268	76	252	6	4	25%	5%	42	-1.0
✕José Fermín 2017 · A	18	42→51	37→45	48→55	44	201/258/285	84	274	3	8	27%	7%	54	-2.0	203/252/278	75	241	4	11	17%	4%	50	-2.3	244/330/367	123	265	11	26	12%	10%	98	+0.7
✕Victor Heredia 2018 · A	18	45	38→50	49→30	42	211/275/293	82	307	6	6	31%	7%	62	-1.4	221/268/323	102	290	9	4	26%	5%	66	-1.1	221/264/326	105	281	10	1	25%	4%	67	-0.4
✕Hector Osorio 2023 · A	18	47	37→45	47→50	48	219/301/296	77	303	4	8	27%	9%	74	-0.6	214/320/283	69	272	4	14	20%	11%	78	-0.3	222/318/349	127	252	16	10	19%	9%	90	+0.3

Career Stats + Projections

Career Comps

Career Path Comps