Moises Acacio — OGILVIE

Moises AcacioSS ACL Dodgers

Age 18 R/R 5'11" / 155 lbs ROK HR +8%BB -8% Svc 0.0 · Ctrl thru 2037

2026 ROS PROJECTION115 act + 11 ros · stats below = ROS only

showingROS

wRC+†94

AVG/OBP/SLG.300 / .364 / .400

PA11

HR0

K%18

BB%9

BABIP293

ISO100

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$67M ctrl surplus

Tools · ContractCON 61 / POW 45

Toolsscout grade

CONTACT61

scouting grade only

POWER45

scouting grade only

EYE58

scouting grade only

SPEED56

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	+1.4	$7M	+$7M
2033	Pre-Arb	$1.0M	+1.5	$7M	+$7M
2034	Pre-Arb	$1.0M	+1.5	$7M	+$6M
2035	Arb-1	$6M	+1.5	$6M	+$4M
2036	Arb-2	$10M	+1.4	$5M	+$2M
2037	Arb-3	$14M	+1.2	$4M	+$0.0M (cut)
Totals		$19M		$36M	+$25M

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 LAD Mega	—	101	83	20	7	0	0	15	14	2	7	0	241	370	325	695	84	286	14	15	324	105	+1	+1	—	—	+2	0.4
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	17	ROK MLE	DSL LAD Mega	—	101	89	16	5	0	0	9	21	2	7	0	180	270	236	506	56	219	21	9	227	40	-7	+1	—	—	+2	-0.4
2025	17	ROK MLE	DSL LAD Mega	—	101	89	16	5	0	0	9	21	2	7	0	180	270	236	506	56	232	21	9	227	40	—	—	—	—	—	—
2025	17	ROK RAW	DSL LAD Mega	—	101	83	20	7	0	0	15	14	2	7	0	241	370	325	695	84	286	14	15	324	40	—	—	—	—	—	—
2025	17	ROK MLE	DSL LAD Mega	—	101	89	16	5	0	0	9	21	2	7	0	180	270	236	506	56	219	21	9	227	40	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2025	17	ROK MLE	DSL LAD Mega	—	101	89	16	5	0	0	9	21	2	7	0	180	270	236	506	56	219	21	9	227	40	—	—	—	—	—	—
YTD	18	ROK MLE	LAD	—	115	100	27	7	0	4	11	20	2	3	2	270	354	460	814	190	303	17	10	339	116	+2	-0	+0	+1	+2	0.6
▸ 2026 season
YTD	18	ROK RAW	LAD	—	115	94	32	9	0	5	17	14	2	3	2	340	451	596	1.047	255	360	12	15	449	116	—	—	—	—	—	—
ROS	18	ROK MLE	LAD	0%	11	10	3	1	0	0	1	2	0	0	0	300	364	400	764	100	297	18	9	307	94	-0	+0	+0	+0	+0	0.0
TOT	18	ROK MLE	LAD	—	126	110	30	8	0	4	12	22	2	3	2	273	355	455	809	182	310	17	10	336	114	+2	-0	+0	+1	+3	0.6
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	19	MLB MLE	LAD	34%	194	174	42	9	1	4	16	43	2	4	1	241	312	374	686	132	297	22	8	311	97	-1	+0	+0	+2	+4	0.6
2028	20	MLB MLE	LAD	48%	332	296	73	16	2	7	28	72	5	7	2	247	322	385	707	139	298	22	8	316	100	-0	+1	+0	+4	+7	1.1
2029	21	MLB MLE	LAD	54%	438	392	96	20	2	10	37	95	6	9	3	245	320	383	702	138	299	22	8	319	102	+1	+1	+0	+5	+9	1.6
2030	22	MLB MLE	LAD	57%	511	455	113	24	2	12	44	110	7	11	3	248	324	389	713	141	299	22	9	321	104	+2	+1	+0	+5	+11	2.0
2031	23	MLB MLE	LAD	58%	561	500	125	26	3	14	48	120	8	12	4	250	326	398	724	148	300	21	9	323	105	+3	+1	+0	+6	+12	2.3
2032	24	MLB MLE	LAD	57%	594	529	133	28	3	15	51	126	9	13	4	251	328	401	728	149	301	21	9	324	106	+4	+1	+0	+6	+13	2.5
2033	25	MLB MLE	LAD	57%	613	546	137	29	3	15	53	130	9	14	4	251	327	397	725	147	301	21	9	325	106	+4	+1	+0	+7	+13	2.6
2034	26	MLB MLE	LAD	57%	623	555	140	29	3	16	54	132	9	14	4	252	328	402	730	150	301	21	9	325	106	+5	+1	+0	+7	+13	2.6
2035	27	MLB MLE	LAD	55%	624	555	140	29	3	16	55	133	9	14	4	252	330	402	731	150	301	21	9	325	106	+5	+1	+0	+7	+14	2.7
2036	28	MLB MLE	LAD	55%	620	551	139	29	3	16	55	133	9	14	4	252	330	403	733	151	301	21	9	324	106	+4	+1	-1	+7	+13	2.5
2037	29	MLB MLE	LAD	53%	610	542	135	28	3	15	54	132	9	13	4	249	327	395	722	146	300	22	9	323	105	+3	+1	-1	+7	+13	2.3
2038	30	MLB MLE	LAD	53%	600	532	131	28	2	14	54	131	9	12	4	246	326	385	711	139	299	22	9	320	103	+2	+1	-2	+6	+13	2.1
2039	31	MLB MLE	LAD	52%	586	521	128	27	2	14	52	130	8	12	3	246	324	386	709	140	298	22	9	316	100	+0	+1	-3	+6	+13	1.8
2040	32	MLB MLE	LAD	52%	568	505	121	25	2	13	50	128	8	11	3	240	318	374	692	135	295	23	9	311	97	-2	+1	-4	+6	+12	1.4
2041	33	MLB MLE	LAD	56%	538	478	112	23	2	11	48	124	7	10	3	234	313	360	673	126	291	23	9	304	92	-5	+1	-4	+6	+12	0.9
2042	34	MLB MLE	LAD	52%	491	438	100	19	2	10	43	117	7	8	2	228	307	349	657	121	285	24	9	295	86	-8	+1	-5	+5	+11	0.4
2027	19	MLB CTX	LAD	34%	67	60	14	3	0	1	6	15	1	1	0	233	313	333	647	100	293	22	9	300	97	-0	+0	+0	+1	+1	0.2
2028	20	MLB CTX	LAD	48%	161	144	35	7	1	4	14	35	2	3	1	243	319	389	708	146	294	22	9	304	100	-0	+0	+0	+2	+3	0.5
2029	21	MLB CTX	LAD	54%	238	213	52	11	1	6	20	51	3	5	1	244	318	390	707	146	294	21	8	307	102	+1	+1	+0	+3	+5	0.9
2030	22	MLB CTX	LAD	57%	289	258	63	13	1	7	25	62	4	6	2	244	321	384	704	140	295	21	9	309	104	+1	+0	+0	+3	+6	1.1
2031	23	MLB CTX	LAD	58%	323	287	71	15	1	8	28	69	5	7	2	247	325	390	715	143	296	21	9	311	105	+2	+1	+0	+3	+7	1.3
2032	24	MLB CTX	LAD	57%	339	302	75	16	1	9	29	72	5	8	2	248	324	397	722	149	297	21	9	312	106	+2	+1	+0	+4	+7	1.4
2033	25	MLB CTX	LAD	57%	348	310	77	16	1	9	30	74	5	8	2	248	325	394	718	145	297	21	9	312	106	+3	+1	+0	+4	+8	1.5
2034	26	MLB CTX	LAD	57%	353	314	77	16	1	9	31	75	5	8	2	245	323	389	711	143	297	21	9	313	106	+3	+1	+0	+4	+8	1.5
2035	27	MLB CTX	LAD	55%	346	308	76	16	1	9	30	74	5	8	2	247	324	393	716	146	297	21	9	313	106	+3	+1	+0	+4	+7	1.5
2036	28	MLB CTX	LAD	55%	340	302	75	16	1	9	30	73	5	7	2	248	326	397	724	149	296	21	9	312	106	+2	+1	-0	+4	+7	1.4
2037	29	MLB CTX	LAD	53%	326	289	71	15	1	8	29	71	5	7	2	246	325	388	713	142	296	22	9	310	105	+2	+1	-1	+3	+7	1.2
2038	30	MLB CTX	LAD	53%	316	280	69	14	1	8	28	69	5	7	2	246	326	389	715	143	295	22	9	308	103	+1	+1	-1	+3	+7	1.1
2039	31	MLB CTX	LAD	52%	306	272	66	14	1	7	27	68	4	6	2	243	320	379	699	136	293	22	9	304	100	+0	+0	-1	+3	+7	0.9
2040	32	MLB CTX	LAD	52%	295	263	63	13	1	7	26	67	4	6	2	240	317	376	694	137	290	23	9	299	97	-1	+0	-2	+3	+6	0.7
2041	33	MLB CTX	LAD	56%	301	267	62	12	1	7	27	70	4	6	2	232	312	363	675	131	287	23	9	292	92	-3	+0	-2	+3	+7	0.5
2042	34	MLB CTX	LAD	52%	253	226	51	10	1	5	22	60	3	4	1	226	303	345	648	119	281	24	9	284	86	-4	+0	-3	+3	+5	0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	4601	4095	997	207	15	113	402	1005	65	97	27	243	321	384	705	141	294	22	9	307	101	+10	+9	-10	+49	+100	16.1
/ 162G	—	A+C		—	650	579	141	29	2	16	57	142	9	14	4	244	321	383	705	140	294	22	9	307	101	+1	+1	-1	+7	+14	2.3
Career	—	MLE		—	8615	7668	1884	395	38	202	752	1879	123	185	52	246	323	386	709	140	299	22	9	317	101	+17	+15	-20	+91	+184	29.4
/ 162G	—	MLE		—	650	579	142	30	3	15	57	142	9	14	4	245	322	385	708	140	299	22	9	317	101	+1	+1	-1	+7	+14	2.2

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Stephen Drewlast yr '17 career totals — 12 seasons, 4,917 PA	7.4	4,917	123	41	252	318	423	+48	+35	26.3	25.1
/162	664	17	6	+6.5	+4.7	3.5	pk7: 24
#2Erick 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
#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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 9 projected seasons	7.1	4,693	111	98	248	321	389	+48	+27	19.6	15.6
/162	664	16	14	+6.9	+3.8	2.8	pk7: 12
#4Zack 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
#5Khalil Greenelast yr '09 career totals — 7 seasons, 2,835 PA	4.3	2,835	90	25	245	302	422	+30	+14	13.0	13.0
/162	664	21	6	+7.1	+3.2	3.0	pk7: 13
#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
Moises Acacio (OGILVIE)	18	56→61	40→45	51→56	58	240/312/366	126	297	2	2	22%	8%	94	+0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
●Miguel Vargas 2019 · A	19	50→52	39→55	52→50	45	238/294/331	93	306	5	8	23%	7%	78	-0.3	246/298/362	116	303	10	8	21%	6%	86	+0.3	224/326/406	183	249	21	12	19%	12%	105	+1.6
●Josue De Paula 2023 · A	18	51	43→50	50→55	51	244/315/357	114	300	9	14	21%	9%	92	+0.7	228/318/325	97	308	8	17	26%	11%	86	+0.3	228/320/369	141	283	16	24	24%	11%	94	+0.8
✕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
●Julio Rodríguez 2019 · A	18	47→56	43→60	59→55	46	228/289/352	124	291	8	9	24%	7%	81	-0.1	253/308/401	148	329	14	9	26%	6%	99	+1.3	287/348/497	210	352	27	29	25%	7%	132	+3.3
●Andrés Giménez 2017 · A	18	52→60	40→50	48→55	57	247/331/355	109	280	6	11	14%	10%	98	+1.2	235/295/332	97	297	6	18	22%	5%	79	-0.2	260/325/413	154	312	16	25	21%	5%	105	+1.5
✕Orlando Arcia 2013 · A	18	46→56	43→50	49→55	50	222/282/333	110	247	10	11	15%	7%	74	-0.5	240/282/329	89	279	5	16	15%	5%	72	-0.7	243/304/399	156	273	20	3	19%	8%	96	+0.7
✕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
●Moisés Ballesteros 2022 · A	18	45→55	40→50	50→40	52	216/294/311	95	269	7	8	22%	9%	74	-0.5	225/287/355	130	281	15	4	24%	8%	81	-0.1	255/314/382	127	304	14	3	20%	7%	96	+0.9
●J.P. Crawford 2015 · A	20	52→58	41→45	46→50	51	249/316/346	97	301	9	15	20%	9%	90	+0.6	231/301/326	95	276	7	10	18%	9%	79	-0.2	261/353/385	124	305	11	2	17%	11%	110	+2.2
●Jackson Holliday 2023 · A	19	50→60	41→50	49→50	58	237/329/342	104	299	8	10	22%	12%	94	+0.9	248/333/382	134	332	12	14	26%	11%	104	+1.6	244/329/380	136	317	13	15	25%	11%	100	+1.3
✕Tyrone Taylor 2013 · A	19	49→52	43→60	51→55	43	235/284/358	123	294	8	12	23%	6%	80	-0.1	237/280/336	99	277	6	12	16%	5%	74	-0.6	240/298/452	211	277	25	12	23%	6%	107	+1.0
✕Daniel Robertson 2013 · A	19	45→54	46→45	52→40	49	225/297/363	139	266	12	6	20%	8%	87	+0.4	237/302/348	111	297	9	3	22%	7%	85	+0.2	232/336/343	111	304	11	4	25%	11%	96	+0.6
●Jackson Chourio 2022 · A	18	44→54	42→60	48→55	46	218/280/321	104	273	10	10	24%	7%	71	-0.8	234/280/388	154	309	17	19	29%	6%	86	+0.3	274/325/460	186	323	22	21	22%	7%	115	+2.3
✕Jose Tabata 2007 · A	18	52→61	40→45	51→55	43	249/302/344	96	311	7	16	22%	6%	84	+0.2	258/307/344	86	320	6	14	20%	5%	86	+0.3	278/334/376	98	321	6	26	14%	7%	101	+1.2
✕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
●Elvis Andrus 2006 · A	17	47→57	39→50	47→60	46	226/288/308	82	287	6	9	23%	7%	70	-0.8	233/282/307	74	310	4	22	25%	6%	68	-1.0	277/330/414	137	310	11	19	14%	7%	105	+1.6
✕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
✕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
●Willy Adames 2015 · A	19	47→53	41→60	47→50	44	220/288/334	114	319	6	6	31%	8%	76	-0.4	224/291/333	109	332	7	9	32%	8%	77	-0.3	238/319/443	205	285	27	12	26%	10%	111	+2.2
✕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

Career Stats + Projections

Career Comps

Career Path Comps