Anthony Abreu — OGILVIE

Anthony AbreuSS DSL Marlins

Age 18 L/R 6'1" / 180 lbs ROK HR -10%H -3% Svc 0.0 · Ctrl thru 2037

2026 ROS PROJECTION160 act + 15 ros · stats below = ROS only

showingROS

wRC+†57

AVG/OBP/SLG.077 / .200 / .077

PA15

HR0

K%33

BB%13

BABIP242

ISO97

MLB%0%

Value2026 · WAR

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

Tools · ContractCON 20 / POW 45

Toolsscout grade

CONTACT20

scouting grade only

POWER45

scouting grade only

EYE60

scouting grade only

SPEED45

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	+0.3	$0.8M	+$0.3M
2033	Pre-Arb	$1.0M	+0.4	$0.9M	+$0.5M
2034	Pre-Arb	$1.0M	+0.4	$0.9M	+$0.4M
2035	Arb-1	$2M	+0.4	$0.8M	+$0.0M (cut)
2036	Arb-2	$4M	+0.3	$0.6M	+$0.0M (cut)
2037	Arb-3	$4M	+0.2	$0.3M	+$0.0M (cut)
Totals		$3M		$4M	+$1M

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 Marlins	—	176	139	28	4	3	6	30	67	6	6	3	201	366	403	769	201	328	38	17	349	122	+5	+0	—	—	+4	0.9
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	17	ROK MLE	DSL Marlins	—	176	151	15	2	1	3	18	99	6	6	3	99	223	185	408	86	238	56	10	191	15	-18	+0	—	—	+4	-1.4
2025	17	ROK MLE	DSL Marlins	—	176	151	15	2	1	3	18	99	6	6	3	99	223	185	408	86	240	56	10	191	15	—	—	—	—	—	—
2025	17	ROK RAW	DSL Marlins	—	176	139	28	4	3	6	30	67	6	6	3	201	366	403	769	201	328	38	17	349	15	—	—	—	—	—	—
2025	17	ROK MLE	DSL Marlins	—	176	150	15	2	1	3	18	99	6	6	3	100	223	187	410	87	238	56	10	191	15	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2025	17	ROK MLE	DSL Marlins	—	176	150	15	2	1	3	18	99	6	6	3	100	223	187	410	87	238	56	10	191	15	—	—	—	—	—	—
YTD	18	ROK MLE	MIA	—	160	130	17	1	1	4	24	65	4	15	1	131	285	246	531	115	206	41	15	240	49	-10	+3	+0	+2	+3	-0.2
▸ 2026 season
YTD	18	ROK RAW	MIA	—	160	116	22	2	1	5	38	45	4	15	1	190	405	353	759	164	250	28	24	354	49	—	—	—	—	—	—
ROS	18	ROK MLE	MIA	0%	15	13	1	0	0	0	2	5	0	1	0	77	200	77	277		248	33	13	253	57	-1	+0	+0	+0	+0	-0.0
TOT	18	ROK MLE	MIA	—	175	143	18	1	1	4	26	70	4	16	1	126	277	231	508	105	197	40	15	241	49	-11	+3	+0	+2	+4	-0.2
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	19	MLB MLE	MIA	34%	233	202	36	6	1	5	25	77	4	5	1	178	281	292	573	114	254	33	11	263	64	-10	+1	+0	+2	+5	-0.2
2028	20	MLB MLE	MIA	48%	363	315	58	9	2	8	39	116	6	7	1	184	286	302	588	117	259	32	11	272	70	-13	+1	+0	+4	+8	-0.0
2029	21	MLB MLE	MIA	54%	461	401	76	12	3	11	49	143	8	8	1	190	290	317	607	127	262	31	11	278	74	-14	+1	+0	+5	+10	0.2
2030	22	MLB MLE	MIA	57%	530	459	89	14	3	13	57	163	9	9	1	194	295	322	618	129	264	31	11	282	77	-15	+1	+0	+6	+11	0.4
2031	23	MLB MLE	MIA	58%	576	499	97	16	3	14	62	176	10	10	1	194	296	323	619	128	265	31	11	283	78	-15	+2	+0	+6	+12	0.5
2032	24	MLB MLE	MIA	57%	607	526	104	17	4	15	65	185	11	10	1	198	299	331	630	133	266	30	11	285	79	-15	+2	+0	+7	+13	0.6
2033	25	MLB MLE	MIA	57%	624	541	107	17	4	16	67	190	11	10	2	198	299	333	632	135	266	30	11	286	79	-15	+1	+0	+7	+14	0.6
2034	26	MLB MLE	MIA	57%	633	549	107	17	4	16	68	193	11	10	2	195	296	328	624	133	265	30	11	286	80	-15	+1	+0	+7	+14	0.6
2035	27	MLB MLE	MIA	55%	633	548	107	17	4	16	69	193	11	10	2	195	298	328	626	133	265	30	11	286	80	-15	+1	+0	+7	+14	0.7
2036	28	MLB MLE	MIA	59%	629	544	107	17	4	16	69	193	11	10	1	197	300	331	631	134	265	31	11	285	79	-16	+2	-1	+7	+14	0.6
2037	29	MLB MLE	MIA	61%	619	535	103	17	3	15	68	191	11	9	1	193	296	320	616	127	264	31	11	283	78	-16	+1	-1	+7	+13	0.4
2038	30	MLB MLE	MIA	62%	608	526	100	16	3	14	67	189	10	9	1	190	294	312	605	122	263	31	11	281	76	-17	+1	-2	+7	+13	0.2
2039	31	MLB MLE	MIA	63%	594	513	96	15	3	14	66	187	10	8	1	187	292	310	602	123	261	31	11	277	74	-19	+1	-3	+6	+13	-0.1
2027	19	MLB CTX	MIA	34%	80	70	12	2	0	2	9	26	1	2	0	171	275	286	561	114	248	32	11	246	64	-3	+0	+0	+1	+2	-0.0
2028	20	MLB CTX	MIA	48%	176	152	28	4	1	4	19	56	3	3	0	184	287	303	590	118	253	32	11	254	70	-6	+1	+0	+2	+4	0.0
2029	21	MLB CTX	MIA	54%	250	217	39	6	1	5	27	78	4	4	1	180	282	286	568	106	255	31	11	259	74	-8	+0	+0	+3	+5	0.1
2030	22	MLB CTX	MIA	57%	300	260	50	8	2	7	32	92	5	5	1	192	293	319	612	127	257	31	11	263	77	-8	+1	+0	+3	+6	0.2
2031	23	MLB CTX	MIA	58%	332	287	54	8	2	8	36	102	6	6	1	188	292	314	605	125	258	31	11	264	78	-9	+1	+0	+4	+7	0.3
2032	24	MLB CTX	MIA	57%	346	300	57	9	2	8	37	106	6	6	1	190	292	313	605	123	258	31	11	266	79	-9	+1	+0	+4	+7	0.3
2033	25	MLB CTX	MIA	57%	354	307	58	9	2	8	38	108	6	6	1	189	291	309	600	121	258	31	11	266	79	-9	+1	+0	+4	+8	0.4
2034	26	MLB CTX	MIA	57%	358	310	59	9	2	9	39	109	6	6	1	190	293	319	612	129	258	30	11	266	80	-9	+1	+0	+4	+8	0.4
2035	27	MLB CTX	MIA	55%	351	304	57	9	2	8	38	107	6	6	1	188	290	309	599	122	258	30	11	267	80	-8	+1	+0	+4	+8	0.4
2036	28	MLB CTX	MIA	59%	372	322	60	9	2	9	41	114	6	6	1	186	290	311	601	124	258	31	11	266	79	-9	+1	-0	+4	+8	0.3
2037	29	MLB CTX	MIA	61%	377	325	61	9	2	9	42	116	7	6	1	188	294	311	605	123	257	31	11	264	78	-10	+1	-1	+4	+8	0.2
2038	30	MLB CTX	MIA	62%	378	326	61	9	2	9	42	118	7	6	1	187	293	310	603	123	256	31	11	262	76	-11	+1	-1	+4	+8	0.1
2039	31	MLB CTX	MIA	63%	375	325	59	9	2	8	41	118	6	5	1	182	285	295	580	114	254	31	11	258	74	-12	+1	-2	+4	+8	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	4049	3505	655	100	22	94	441	1250	69	67	11	187	290	308	599	122	257	31	11	263	75	-110	+9	-4	+43	+88	2.6
/ 162G	—	A+C		—	650	563	105	16	4	15	71	201	11	11	2	187	290	309	599	123	256	31	11	263	75	-18	+1	-1	+7	+14	0.4
Career	—	MLE		—	7301	6322	1203	192	42	176	791	2300	129	122	19	190	293	317	611	127	265	32	11	280	75	-196	+17	-7	+76	+154	4.5
/ 162G	—	MLE		—	650	563	108	17	4	16	70	205	11	11	2	192	293	321	615	130	267	32	11	280	75	-18	+2	-1	+7	+14	0.4

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
#3Gordon 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
#4Sandy 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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 8 projected seasons	6.3	4,197	100	68	193	292	321	+45	+24	5.3	4.7
/162	664	16	11	+7.1	+3.8	0.8	pk7: 4
#5J.P. Arencibialast yr '15 career totals — 5 seasons, 1,650 PA	2.5	1,650	78	2	213	260	414	+29	-4	4.2	4.2
/162	664	31	1	+11.9	-1.7	1.7	pk7: 4
#6Adam 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

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
Anthony Abreu (OGILVIE)	18	20	45	45	60	165/271/265	99	248	3	6	34%	11%	57	-0.4	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Yasmil Bucce 2023 · A	18	41	39→50	49→40	45	196/264/278	82	269	6	5	28%	8%	55	-1.9	200/286/292	92	306	7	4	34%	10%	68	-1.0	189/297/321	132	304	15	2	39%	12%	76	-0.2
✕Randel Alcantara 2015 · A	18	40	43→45	41→45	42	200/268/307	107	273	11	4	30%	7%	63	-1.3	200/265/309	109	265	8	6	26%	6%	63	-1.4	186/252/305	119	241	8	6	25%	5%	54	-0.7
✕Daniel Vellojin 2019 · A	19	39	39→45	47→45	48	189/268/273	83	260	6	6	28%	9%	56	-1.9	213/303/311	98	271	7	8	22%	10%	78	-0.3	194/297/306	112	259	11	6	27%	12%	72	-0.3
✕Jesús Báez 2023 · A	18	39→40	44→55	44→45	43	197/263/310	113	267	13	9	30%	8%	63	-1.4	199/261/321	122	254	13	9	26%	7%	64	-1.3	217/271/392	175	242	26	8	23%	6%	83	+0.1
✕Leopoldo Correa 2010 · A	18	41	42→45	50→30	48	197/280/305	107	291	9	5	33%	10%	68	-1.0	210/272/297	87	263	6	3	21%	7%	62	-1.4	212/269/300	89	261	8	0	21%	6%	58	-0.5
✕Carlos Rodriguez 2022 · A	19	39	41→45	46→45	48	183/286/282	99	291	8	6	36%	11%	66	-1.1	184/261/262	78	291	6	6	35%	9%	51	-2.3	177/255/266	89	258	8	2	32%	9%	47	-1.0
✕Angel Ortiz 2022 · A	19	42	41→50	46→45	44	206/261/295	89	268	9	9	26%	7%	57	-1.8	207/258/303	96	280	7	7	27%	6%	58	-1.7	218/275/359	140	283	14	8	27%	7%	76	-0.3
✕Carlos Jimenez 2022 · A	19	38→41	42→50	53→55	44	186/268/288	102	275	10	11	34%	9%	60	-1.6	201/285/320	119	319	11	16	37%	10%	73	-0.6	220/298/374	155	300	18	18	31%	9%	87	+0.3
✕Dennys Riera 2023 · A	18	35	39→40	50	36	173/231/260	87	272	7	6	37%	6%	38	-3.2	172/242/246	74	249	5	6	31%	6%	40	-3.0	183/266/258	74	252	5	7	27%	5%	53	-0.5
✕Yeremy Cabrera 2023 · A	18	37→42	38→45	53→60	48	181/263/263	82	240	5	13	26%	8%	52	-2.2	207/289/321	114	272	11	17	26%	9%	75	-0.5	202/287/312	110	269	12	24	27%	8%	70	-0.5
✕Robert Lopez 2022 · A	18	38	39→45	48→45	41	181/262/270	89	284	6	6	36%	8%	53	-2.1	189/253/272	83	291	7	4	35%	7%	50	-2.3	184/245/264	80	277	8	3	35%	7%	42	-0.9
✕Starlin Aguilar 2022 · A	18	41	38→50	42→45	45	195/267/273	78	268	5	3	28%	8%	55	-1.9	200/250/267	67	295	3	4	31%	5%	47	-2.6	182/231/281	99	278	10	2	37%	5%	40	-1.0
✕Omar Alfonzo 2023 · A	19	36→40	37→45	48→40	48	173/263/240	67	258	5	3	32%	10%	47	-2.5	205/289/309	104	317	11	4	35%	10%	72	-0.7	200/285/310	110	312	13	2	37%	10%	69	-0.6
✕Jose Perez 2022 · A	18	41	38→40	42→45	44	193/266/276	83	281	5	6	31%	8%	55	-1.9	200/299/287	87	269	5	7	25%	11%	71	-0.8	193/314/286	93	255	5	7	23%	13%	76	-0.1
✕Luis Barrera 2014 · A	18	37→47	43→45	47→50	47	186/254/303	117	227	10	7	23%	7%	57	-1.8	194/247/272	78	270	5	7	28%	6%	47	-2.6	247/292/355	108	317	4	17	23%	5%	79	-0.1
✕Raul Juarez 2016 · A	18	37	38→45	45→40	37	182/242/262	80	251	5	7	29%	4%	43	-2.8	207/265/290	83	274	7	5	26%	5%	58	-1.7	203/259/274	71	266	8	3	26%	4%	50	-0.6
✕Ravel Santana 2010 · A	18	39	42→50	48→55	44	192/269/294	102	269	10	9	31%	8%	61	-1.5	219/288/360	141	283	16	15	27%	8%	83	+0.1	220/291/383	163	271	20	20	26%	8%	87	+0.1
✕Gleider Figuereo 2022 · A	18	39→36	38→45	48→45	49	190/266/272	82	250	5	6	25%	9%	55	-2.0	188/250/304	116	278	13	7	35%	7%	56	-1.9	173/233/294	120	259	16	5	38%	6%	45	-1.6
✕Cristian Santana 2023 · A	19	38→20	45	46→45	47	184/303/304	121	280	12	11	35%	10%	78	-0.3	155/294/273	118	250	14	6	39%	14%	70	-0.9	138/279/280	142	192	20	5	38%	14%	65	-0.7
✕Daniel Montano 2017 · A	18	35→45	45	48→50	41	182/248/304	122	258	12	8	33%	7%	55	-1.9	183/232/281	98	255	8	9	30%	6%	43	-2.8	203/278/309	107	310	9	6	35%	9%	66	-0.8

Career Stats + Projections

Career Comps

Career Path Comps