Emilio Barreras — OGILVIE

Emilio BarrerasSS Beloit Sky Carp

Age 22 L/R 6'0" / 190 lbs A+ HR -10%H -3% Svc 0.0 · Ctrl thru 2035

2026 ROS PROJECTION384 act + 9 ros · stats below = ROS only

showingROS

wRC+†85

AVG/OBP/SLG.125 / .222 / .125

PA9

HR0

K%22

BB%11

BABIP270

ISO112

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$32M ctrl surplus

Tools · ContractCON 59 / POW 40

Toolsscout grade

CONTACT59

scouting grade only

POWER40

scouting grade only

EYE59

scouting grade only

SPEED52

scouting grade only

Contract ESTIMATED · service-time + WAR-based estimator (needs verification)

Status MiLB

MLB Debut 2030

Service 0 yrs (est)

Team Control Through 2035

First FA Year 2036

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2030
2027	MiLB	still in minors · estimated debut 2030
2028	MiLB	still in minors · estimated debut 2030
2029	MiLB	still in minors · estimated debut 2030
2030	Pre-Arb	$0.9M	+0.9	$3M	+$2M
2031	Pre-Arb	$0.9M	+0.9	$2M	+$2M
2032	Pre-Arb	$0.9M	+0.8	$2M	+$2M
2033	Arb-1	$3M	+0.7	$2M	+$0.4M
2034	Arb-2	$4M	+0.5	$1M	+$0.0M (cut)
2035	Arb-3	$4M	+0.4	$0.8M	+$0.0M (cut)
Totals		$5M		$11M	+$6M

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	21	A	Jupiter Hammerheads	—	69	58	10	2	0	0	9	18	2	1	1	172	304	207	511	34	250	26	13	254	58	-3	-0	—	—	+1	-0.2
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	21	A MLE	Jupiter Hammerheads	—	69	60	8	2	0	0	7	25	2	1	1	133	246	167	413	33	223	36	10	195	18	-7	-0	—	—	+1	-0.6
2025	21	A MLE	Jupiter Hammerheads	—	69	60	8	2	0	0	7	25	2	1	1	133	246	167	413	33	229	36	10	195	18	—	—	—	—	—	—
2025	21	A RAW	Jupiter Hammerheads	—	69	58	10	2	0	0	9	18	2	1	1	172	304	207	511	34	250	26	13	254	18	—	—	—	—	—	—
2025	21	A MLE	Jupiter Hammerheads	—	69	60	8	2	0	0	7	25	2	1	1	133	246	167	413	33	223	36	10	195	18	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2025	21	A MLE	Jupiter Hammerheads	—	69	60	8	2	0	0	7	25	2	1	1	133	246	167	413	33	223	36	10	195	18	—	—	—	—	—	—
YTD	22	A+ MLE	MIA	—	384	336	74	11	1	5	36	67	9	8	6	220	312	304	616	83	258	17	9	279	75	-11	-1	+0	+4	+8	0.0
▸ 2026 season
YTD	22	A RAW	MIA	—	154	123	39	7	0	2	25	15	5	3	3	317	451	423	874	106	346	10	16	399	75	—	—	—	—	—	—
YTD	22	A+ RAW	MIA	—	230	199	45	6	1	4	25	34	4	5	3	226	325	327	651	101	252	15	11	299	75	—	—	—	—	—	—
ROS	22	A+ MLE	MIA	0%	9	8	1	0	0	0	1	2	0	0	0	125	222	125	347		277	22	11	293	85	-0	+0	+0	+0	+0	0.0
TOT	22	A+ MLE	MIA	—	393	344	75	11	1	5	37	69	9	8	6	218	310	299	610	81	256	18	9	280	75	-12	-1	+0	+4	+9	0.0
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	23	MLB MLE	MIA	43%	323	285	67	12	1	6	30	65	5	5	2	235	319	347	666	112	280	20	9	301	90	-4	+0	+0	+3	+7	0.7
2028	24	MLB MLE	MIA	58%	400	353	84	15	2	8	37	80	7	6	3	238	322	360	682	122	282	20	9	306	93	-3	+0	+0	+4	+9	1.0
2029	25	MLB MLE	MIA	65%	433	383	91	16	2	9	40	87	7	7	3	238	321	360	681	123	283	20	9	308	95	-3	+0	+0	+5	+9	1.2
2030	26	MLB MLE	MIA	68%	454	402	96	17	2	10	42	91	7	7	3	239	322	366	687	127	283	20	9	309	95	-3	+0	+0	+5	+10	1.3
2031	27	MLB MLE	MIA	68%	458	405	96	17	2	10	43	92	7	7	3	237	321	363	684	126	283	20	9	309	95	-3	+0	+0	+5	+10	1.3
2032	28	MLB MLE	MIA	68%	457	404	96	17	2	10	43	93	7	7	3	238	322	364	685	126	282	20	9	308	95	-3	+0	-1	+5	+10	1.2
2033	29	MLB MLE	MIA	66%	448	395	94	17	2	9	43	92	7	6	3	238	324	359	683	122	282	21	10	307	94	-3	+0	-1	+5	+10	1.0
2034	30	MLB MLE	MIA	66%	439	387	91	16	2	9	42	91	7	5	3	235	321	357	678	121	281	21	10	304	92	-4	-0	-2	+5	+10	0.8
2035	31	MLB MLE	MIA	65%	425	375	86	15	1	8	40	90	7	4	2	229	315	339	654	109	279	21	9	300	89	-5	+0	-3	+5	+9	0.6
2036	32	MLB MLE	MIA	65%	407	359	80	14	1	7	39	87	6	4	2	223	309	326	635	103	276	21	10	295	86	-7	+0	-4	+4	+9	0.3
2037	33	MLB MLE	MIA	70%	377	332	73	12	1	6	36	83	6	3	1	220	307	316	624	96	273	22	10	289	81	-8	+0	-4	+4	+8	-0.0
2027	23	MLB CTX	MIA	43%	140	124	28	5	1	2	13	28	2	2	1	226	309	331	640	105	273	20	9	282	90	-2	+0	+0	+2	+3	0.3
2028	24	MLB CTX	MIA	58%	232	205	47	8	1	4	21	46	4	3	2	229	313	337	650	107	274	20	9	286	93	-2	-0	+0	+2	+5	0.5
2029	25	MLB CTX	MIA	65%	281	248	58	10	1	6	26	56	5	4	2	234	319	355	674	121	275	20	9	289	95	-2	+0	+0	+3	+6	0.7
2030	26	MLB CTX	MIA	68%	309	272	63	11	1	6	29	62	5	5	2	232	317	346	663	114	275	20	9	290	95	-2	+0	+0	+3	+7	0.9
2031	27	MLB CTX	MIA	68%	311	274	63	11	1	6	29	63	5	5	2	230	315	343	658	113	275	20	9	290	95	-2	+0	+0	+3	+7	0.9
2032	28	MLB CTX	MIA	68%	311	274	63	11	1	6	29	63	5	4	2	230	315	343	658	113	275	20	9	289	95	-2	+0	-0	+3	+7	0.8
2033	29	MLB CTX	MIA	66%	298	263	60	10	1	6	28	61	5	4	2	228	314	342	656	114	274	20	9	288	94	-2	+0	-1	+3	+6	0.7
2034	30	MLB CTX	MIA	66%	288	254	57	10	1	5	27	60	5	3	2	224	311	331	642	106	274	21	9	285	92	-3	-0	-1	+3	+6	0.5
2035	31	MLB CTX	MIA	65%	276	244	54	9	1	5	26	58	4	3	1	221	307	328	634	107	272	21	9	282	89	-3	+0	-2	+3	+6	0.4
2036	32	MLB CTX	MIA	65%	263	232	51	8	1	5	25	56	4	2	1	220	307	328	634	108	269	21	10	277	86	-4	+0	-2	+3	+6	0.2
2037	33	MLB CTX	MIA	70%	265	234	50	8	1	4	25	58	4	2	1	214	300	308	608	94	266	22	9	271	81	-6	+0	-3	+3	+6	-0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2974	2624	594	101	11	55	278	611	48	37	18	226	312	336	648	110	273	21	9	285	91	-30	+0	-10	+32	+64	5.8
/ 162G	—	A+C		—	650	574	129	22	2	12	61	134	10	8	4	225	310	333	643	108	271	21	9	285	91	-6	+0	-2	+7	+14	1.3
Career	—	MLE		—	4699	4148	963	170	18	92	443	978	75	62	29	232	317	348	666	116	281	21	9	302	91	-46	+1	-15	+50	+100	9.2
/ 162G	—	MLE		—	650	574	133	24	2	13	61	135	10	9	4	232	316	348	665	117	280	21	9	302	91	-6	+0	-2	+7	+14	1.3

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Tucker Barnhartlast yr '24 career totals — 11 seasons, 3,088 PA	4.7	3,088	53	8	241	318	351	+55	+57	16.5	16.1
/162	664	11	2	+11.9	+12.3	3.6	pk7: 16
#2Bobby 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
#3Danny 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
#4Cliff 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
#5Gordon 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 7 projected seasons	4.5	2,974	59	38	235	316	353	+32	+21	8.3	7.4
/162	664	13	8	+7.1	+4.7	1.8	pk7: 7
#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
Emilio Barreras (OGILVIE)	22	54→59	35→40	47→52	59	227/312/324	98	277	2	3	20%	9%	85	+0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕James Skelton 2008 · A	22	53→57	42→40	51→50	53	255/323/364	109	305	8	13	19%	9%	97	+1.1	234/327/323	89	310	7	13	24%	12%	89	+0.5	229/331/314	85	302	5	10	23%	12%	88	+0.1
●J.P. Crawford 2016 · AA	21	52→58	41→45	49→50	53	250/315/350	100	290	7	13	16%	9%	90	+0.6	217/291/314	97	267	8	9	20%	9%	74	-0.6	261/353/385	124	305	11	2	17%	11%	110	+2.2
✕Boog Powell 2015 · A	22	58	37→40	46→50	55	271/345/344	73	336	4	13	19%	10%	99	+1.3	264/324/352	88	325	6	15	19%	8%	93	+0.8	272/330/365	93	329	7	16	18%	7%	95	+0.7
●Wade Meckler 2023 · A	23	53→63	41→40	50	52	246/327/358	112	327	7	8	25%	10%	97	+1.1	264/332/364	100	341	7	11	23%	9%	99	+1.3	265/335/357	92	340	6	12	22%	9%	95	+0.7
✕Noah Mendlinger 2023 · A	22	48→58	37→40	47→45	54	224/319/299	75	279	4	9	20%	10%	81	-0.1	257/340/330	73	305	3	8	15%	8%	95	+1.0	271/353/338	68	317	2	8	14%	8%	100	+1.0
✕Jorbit Vivas 2023 · A	22	50→55	44→45	47→50	51	241/315/359	118	268	11	4	15%	7%	93	+0.8	226/310/328	102	260	9	14	16%	8%	84	+0.2	219/309/311	93	253	7	18	16%	9%	79	-0.2
●Jemile Weeks 2009 · A	22	50→60	41→45	52→55	50	239/316/342	103	298	8	14	22%	8%	89	+0.5	247/305/360	113	295	9	16	19%	7%	88	+0.5	262/318/375	113	310	7	21	17%	7%	94	+0.7
✕Canaan Smith-Njigba 2021 · A	22	49→50	44→45	50→55	46	235/299/356	121	318	11	10	28%	8%	86	+0.3	230/301/343	113	337	9	17	31%	9%	84	+0.1	227/299/342	115	335	9	21	32%	9%	79	-0.1
●Graham Pauley 2023 · A	22	45→51	46→55	48→50	52	226/305/358	133	270	13	12	21%	9%	89	+0.5	230/298/389	159	277	18	11	23%	8%	93	+0.8	222/292/383	160	263	19	11	23%	8%	87	+0.3
✕Ryan Wheeler 2010 · A	22	49→55	45→50	48→40	47	241/312/368	127	299	12	8	23%	8%	94	+0.9	248/290/367	119	316	12	4	24%	5%	84	+0.2	253/293/380	127	317	12	4	24%	5%	88	+0.4
✕Nicky Lopez 2017 · A	22	47→57	42→40	57→55	51	229/304/337	108	264	10	17	17%	8%	84	+0.1	252/304/335	83	284	5	13	13%	6%	82	-0.0	264/325/345	82	303	4	14	13%	8%	90	+0.4
●Justin Yurchak 2018 · A	21	51→61	44→40	49→40	53	251/319/370	119	297	12	4	19%	9%	96	+1.0	230/292/323	93	290	7	3	22%	8%	76	-0.4	278/341/383	104	343	10	2	20%	8%	105	+1.0
●Eric Sogard 2009 · A	23	52→58	43→45	46→55	53	250/311/363	114	280	9	10	15%	8%	92	+0.7	251/311/348	97	284	7	11	13%	8%	88	+0.4	252/337/372	120	286	11	10	15%	11%	100	+0.8
✕Josh Horton 2008 · A	22	51→56	39→45	48→45	52	236/321/320	85	314	6	8	25%	10%	86	+0.3	245/300/314	69	302	4	5	19%	7%	76	-0.4	250/303/330	80	287	5	6	14%	7%	78	-0.2
✕Greg Garcia 2012 · A	22	49→55	39→40	45→50	47	232/301/322	90	293	5	8	21%	7%	79	-0.2	241/316/335	94	309	6	10	22%	8%	88	+0.4	240/350/332	92	308	6	3	21%	13%	98	+0.6
✕Peter Ciofrone 2006 · A	22	52→55	39→45	50→40	50	248/314/334	86	292	6	6	17%	7%	86	+0.3	242/309/347	105	288	10	4	19%	7%	88	+0.4	241/307/354	114	282	12	2	19%	6%	86	+0.3
✕Patrick Mazeika 2016 · A	22	52→51	43→45	48→30	47	250/320/370	120	287	8	4	16%	6%	97	+1.1	243/319/343	100	290	8	3	18%	8%	91	+0.6	235/314/332	97	275	9	1	17%	8%	84	+0.1
✕Dan Robinson 2019 · A	22	52	38→40	51→50	51	243/305/334	91	287	4	10	16%	8%	82	+0.0	213/281/289	76	281	4	7	23%	8%	63	-1.3	193/268/258	64	258	2	5	24%	9%	49	-1.5
●Tyler Kuhn 2009 · A	22	55→65	41→40	53→50	44	260/299/376	116	317	5	7	20%	5%	89	+0.5	262/300/347	85	325	3	11	19%	5%	82	+0.0	277/317/363	85	342	2	12	18%	5%	90	+0.5
✕Leo Jiménez 2023 · A	22	46→49	40→45	48→45	49	216/322/312	96	283	8	9	24%	9%	86	+0.3	226/314/335	109	285	10	7	23%	7%	88	+0.4	228/319/335	107	286	10	5	22%	7%	87	+0.2

Career Stats + Projections

Career Comps

Career Path Comps