Agustin Acosta — OGILVIE

Agustin AcostaCF ACL Dodgers

Age 21 L/R 6'2" / 173 lbs ROK HR +8%BB -8% Svc 0.0 · Ctrl thru 2037

2026 ROS PROJECTION74 act + 10 ros · stats below = ROS only

showingROS

wRC+†59

AVG/OBP/SLG.111 / .200 / .111

PA10

HR0

K%30

BB%10

BABIP259

ISO103

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit-$3M ctrl surplus

Tools · ContractCON 25 / POW 44

Toolsscout grade

CONTACT25

scouting grade only

POWER44

scouting grade only

EYE56

scouting grade only

SPEED62

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	—	—	—
2033	Pre-Arb	$1.0M	—	—	—
2034	Pre-Arb	$1.0M	—	—	—
2035	Ext	beyond projection horizon · no WAR estimate
2036	Ext	beyond projection horizon · no WAR estimate
2037	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$-0.7M	+$0.0M

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)
2022	17	ROK	DSL LAD Bautista	—	176	138	33	4	2	4	33	43	5	12	5	239	403	384	787	145	319	24	19	365	133	+7	+0	—	—	+4	1.1
2024	19	ROK	DSL LAD Mega	—	158	126	31	5	3	3	26	48	4	14	1	246	391	405	796	159	373	30	16	359	129	+5	+2	—	—	+3	1.1
2025	20	ROK	DSL LAD Mega	—	131	101	33	9	3	3	18	29	11	14	2	327	477	564	1.041	238	429	22	14	455	194	+15	+2	—	—	+3	2.0
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2022	17	ROK MLE	DSL LAD Bautista	—	176	149	26	3	2	3	22	60	5	12	5	174	301	282	583	107	251	34	12	254	58	-9	+0	—	—	+4	-0.5
2024	19	ROK MLE	DSL LAD Mega	—	158	137	21	3	2	2	15	70	4	14	1	153	256	248	505	95	283	44	9	228	40	-11	+2	—	—	+3	-0.5
2025	20	ROK MLE	DSL LAD Mega	—	131	108	24	6	2	2	11	44	11	14	2	222	354	370	724	148	334	34	8	316	100	+0	+2	—	—	+3	0.5
2022	17	ROK MLE	DSL LAD Bautista	—	176	149	26	3	2	3	22	60	5	12	5	174	301	282	583	107	267	34	12	254	58	—	—	—	—	—	—
2022	17	ROK RAW	DSL LAD Bautista	—	176	138	33	4	2	4	33	43	5	12	5	239	403	384	787	145	319	24	19	365	58	—	—	—	—	—	—
2024	19	ROK MLE	DSL LAD Mega	—	158	137	21	3	2	2	15	70	4	14	1	153	256	248	505	95	292	44	9	228	40	—	—	—	—	—	—
2024	19	ROK RAW	DSL LAD Mega	—	158	126	31	5	3	3	26	48	4	14	1	246	391	405	796	159	373	30	16	359	40	—	—	—	—	—	—
2025	20	ROK MLE	DSL LAD Mega	—	131	108	24	6	2	2	11	44	11	14	2	222	354	370	724	148	349	34	8	316	100	—	—	—	—	—	—
2025	20	ROK RAW	DSL LAD Mega	—	131	101	33	9	3	3	18	29	11	14	2	327	477	564	1.041	238	429	22	14	455	100	—	—	—	—	—	—
2022	17	ROK MLE	DSL LAD Bautista	—	176	147	26	3	2	3	22	60	5	12	5	177	301	286	587	109	251	34	12	254	58	—	—	—	—	—	—
2024	19	ROK MLE	DSL LAD Mega	—	158	138	21	3	2	2	15	70	4	14	1	152	256	246	503	94	283	44	9	228	40	—	—	—	—	—	—
2025	20	ROK MLE	DSL LAD Mega	—	131	108	24	6	2	2	11	44	11	14	2	222	354	370	724	148	334	34	8	316	100	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2024	19	ROK MLE	DSL LAD Mega	—	158	138	21	3	2	2	15	70	4	14	1	152	256	246	503	94	283	44	9	228	40	—	—	—	—	—	—
2025	20	ROK MLE	DSL LAD Mega	—	131	108	24	6	2	2	11	44	11	14	2	222	354	370	724	148	334	34	8	316	100	—	—	—	—	—	—
YTD	21	ROK MLE	LAD	—	74	68	12	3	0	2	5	27	1	2	0	176	243	309	552	132	256	36	7	242	50	-4	+0	+0	+0	+2	-0.2
▸ 2026 season
YTD	21	ROK RAW	LAD	—	74	65	17	5	0	3	8	19	1	2	0	262	351	477	828	215	326	26	11	367	50	—	—	—	—	—	—
ROS	21	ROK MLE	LAD	0%	10	9	1	0	0	0	1	3	0	0	0	111	200	111	311		263	30	10	255	59	-0	+0	+0	+0	+0	-0.0
TOT	21	ROK MLE	LAD	—	84	77	13	3	0	2	6	30	1	2	0	169	238	286	524	117	244	36	7	244	51	-5	+0	+0	+0	+2	-0.2
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	22	MLB MLE	LAD	34%	190	170	34	7	1	4	15	57	3	4	1	200	277	324	600	124	267	30	8	265	66	-8	+0	+0	+1	+4	-0.3
2028	23	MLB MLE	LAD	48%	306	274	55	11	2	6	24	89	5	7	1	201	277	321	598	120	270	29	8	272	70	-11	+1	+0	+1	+7	-0.2
2029	24	MLB MLE	LAD	53%	388	348	70	14	2	8	31	112	6	10	2	201	278	322	600	121	272	29	8	277	73	-12	+1	+0	+1	+8	-0.1
2030	25	MLB MLE	LAD	55%	435	391	81	16	3	10	35	124	6	11	2	207	282	340	623	133	272	29	8	279	75	-13	+1	+0	+2	+9	-0.1
2031	26	MLB MLE	LAD	56%	464	416	86	17	3	10	38	132	7	12	2	207	284	334	618	127	272	28	8	279	75	-14	+2	+0	+2	+10	-0.0
2032	27	MLB MLE	LAD	55%	477	428	88	17	3	11	39	136	7	12	2	206	283	336	619	131	272	29	8	279	75	-14	+2	+0	+2	+10	-0.0
2033	28	MLB MLE	LAD	55%	480	430	88	17	3	11	40	138	7	12	2	205	283	335	618	130	272	29	8	278	75	-14	+2	-1	+2	+10	-0.2
2034	29	MLB MLE	LAD	53%	476	426	87	17	3	10	40	138	7	11	2	204	283	329	612	124	271	29	8	277	73	-15	+1	-1	+2	+10	-0.3
2027	22	MLB CTX	LAD	34%	65	59	10	2	0	1	5	19	1	1	0	169	246	254	500	85	262	29	8	252	66	-3	+0	+0	+0	+1	-0.1
2028	23	MLB CTX	LAD	48%	148	133	26	5	1	3	12	43	2	4	1	195	272	316	588	120	265	29	8	260	70	-5	+0	+0	+1	+3	-0.1
2029	24	MLB CTX	LAD	53%	205	184	37	7	1	5	16	59	3	5	1	201	276	332	607	130	267	29	8	264	73	-6	+1	+0	+1	+4	-0.1
2030	25	MLB CTX	LAD	55%	238	213	43	8	1	6	19	68	4	6	1	202	280	333	613	131	268	29	8	266	75	-7	+1	+0	+1	+5	-0.0
2031	26	MLB CTX	LAD	56%	258	231	47	9	1	6	21	74	4	7	1	203	281	329	610	126	268	29	8	267	75	-8	+1	+0	+1	+6	-0.0
2032	27	MLB CTX	LAD	55%	262	234	47	9	1	6	22	75	4	7	1	201	281	325	606	124	267	29	8	267	75	-8	+1	+0	+1	+6	-0.0
2033	28	MLB CTX	LAD	55%	262	234	47	9	1	6	22	75	4	7	1	201	281	325	606	124	267	29	8	266	75	-8	+1	-0	+1	+6	-0.1
2034	29	MLB CTX	LAD	53%	254	227	46	9	1	6	21	74	4	6	1	203	282	330	612	128	266	29	8	264	73	-8	+1	-1	+1	+6	-0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1692	1515	303	58	7	39	138	487	26	43	7	200	278	325	603	125	265	29	8	265	72	-53	+6	-1	+6	+37	-0.5
/ 162G	—	A+C		—	650	582	116	22	3	15	53	187	10	17	3	199	278	325	602	125	264	29	8	265	72	-20	+2	-0	+2	+14	-0.2
Career	—	MLE		—	3691	3286	661	128	26	77	311	1103	68	119	22	201	284	326	610	125	275	30	8	275	72	-102	+10	-2	+12	+70	-1.2
/ 162G	—	MLE		—	650	579	118	23	5	14	55	194	12	21	4	204	287	333	620	130	278	30	8	275	72	-20	+2	-0	+2	+14	-0.2

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Chris 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
#2Adam 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
#3Adam Rosaleslast yr '17 career totals — 9 seasons, 1,756 PA	2.6	1,756	47	16	227	293	367	+6	+8	3.0	3.5
/162	664	18	6	+2.4	+3.0	1.1	pk7: 4
#4Ryan Goinslast yr '19 career totals — 7 seasons, 1,680 PA	2.5	1,680	22	6	230	279	335	+9	+21	2.0	2.0
/162	664	9	2	+3.7	+8.5	0.8	pk7: 2
#5Nick 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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 5 projected seasons	2.7	1,803	39	44	205	279	331	+6	+12	0.5	0.6
/162	664	14	16	+2.4	+4.6	0.2	pk7: 1
#6Alexi Amaristalast yr '17 career totals — 7 seasons, 1,901 PA	2.9	1,901	21	39	231	275	323	+14	-6	-1.1	-1.1
/162	664	7	14	+4.9	-2.1	-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
Agustin Acosta (OGILVIE)	21	20→25	39→44	57→62	56	187/262/292	105	263	2	3	31%	8%	59	-0.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Cole Roederer 2021 · A	21	38→32	43→45	51→50	42	190/258/298	108	281	10	12	34%	8%	57	-1.8	205/269/314	109	303	11	12	34%	7%	65	-1.2	180/254/288	108	265	12	11	34%	8%	53	-1.2
✕Eddinson Paulino 2023 · A	21	43→40	46→45	56→50	44	213/280/360	147	287	12	14	29%	8%	80	-0.2	202/260/324	122	280	11	15	30%	6%	64	-1.3	187/244/301	115	257	12	15	31%	6%	50	-1.5
✕Iverson Leonardo 2023 · A	21	37	44→50	49→50	40	187/257/301	114	274	12	9	35%	7%	58	-1.7	198/280/293	95	349	7	8	41%	9%	65	-1.2	152/277/229	77	359	3	4	50%	12%	49	-0.5
✕Ricardo Méndez 2021 · A	21	44	39→45	54→50	40	207/265/294	88	309	7	13	34%	7%	59	-1.7	216/259/313	97	318	7	13	32%	5%	61	-1.5	212/254/305	93	308	6	14	32%	5%	53	-1.2
✕Travis Blankenhorn 2018 · A	21	41→44	45→50	55→50	39	205/268/336	130	291	12	8	32%	6%	70	-0.8	208/257/336	128	292	13	8	32%	5%	66	-1.1	205/278/354	149	273	18	6	31%	8%	75	-0.3
✕Luis Valenzuela 2015 · A	21	41	37→45	55→45	39	197/236/272	76	265	4	7	27%	5%	42	-2.9	244/270/336	92	305	5	7	21%	3%	69	-0.9	262/284/362	100	318	5	7	19%	2%	77	-0.1
✕Michael Swinson 2011 · A	21	41	41→40	52→50	43	200/264/298	98	277	8	12	29%	7%	59	-1.6	201/265/274	73	267	4	10	24%	8%	54	-2.0	197/268/260	62	262	2	10	23%	9%	50	-1.1
✕Jeter Downs 2019 · A	21	41→40	43→50	52→55	43	204/269/311	107	264	11	18	26%	6%	65	-1.2	205/270/351	146	270	17	18	29%	7%	75	-0.5	171/263/306	134	238	15	26	33%	8%	61	-0.7
✕Sean Coyle 2013 · A	21	38→36	45→50	54→50	38	193/255/316	124	276	12	13	34%	6%	61	-1.5	204/262/352	148	296	18	14	36%	6%	72	-0.7	194/255/352	157	279	21	15	37%	7%	68	-0.5
✕D.J. Wilson 2018 · A	21	38	45→50	53→50	39	192/248/324	132	272	12	13	33%	6%	59	-1.6	177/240/272	95	289	8	14	39%	7%	45	-2.7	141/211/206	65	240	6	17	41%	8%	17	-1.7
✕Stephen Chapman 2007 · A	21	42→37	42→50	52→50	40	208/261/318	110	283	9	13	29%	6%	63	-1.4	190/241/330	140	284	15	11	37%	5%	59	-1.7	172/222/314	142	258	17	12	40%	5%	46	-1.7
✕Ryan Mount 2008 · A	21	43	42→50	51→50	41	211/265/313	102	289	10	13	30%	6%	63	-1.3	226/266/352	126	289	14	10	26%	5%	72	-0.7	249/293/390	141	308	15	8	23%	5%	90	+0.2
✕Brenden Webb 2011 · A	21	38→39	41→45	53→50	43	184/261/289	104	283	8	7	35%	8%	57	-1.8	183/271/281	98	311	8	10	39%	10%	59	-1.6	169/250/290	121	279	12	10	41%	9%	52	-1.5
✕Johan Mieses 2016 · A	21	41→33	45→55	52→50	39	207/251/337	130	273	12	14	29%	5%	63	-1.3	187/234/345	158	264	20	4	37%	5%	60	-1.6	191/265/355	164	235	23	7	30%	7%	72	-0.4
✕Andry Arias 2021 · A	21	40	40	52→40	41	192/259/281	89	288	7	8	34%	7%	54	-2.0	190/255/290	100	295	9	6	36%	7%	55	-2.0	163/231/263	100	247	9	3	36%	7%	38	-1.0
✕Hoy Park 2017 · A	21	40→49	38→45	59→55	46	192/267/282	90	275	4	17	30%	8%	57	-1.8	216/291/301	85	288	6	17	25%	9%	70	-0.8	228/317/324	96	297	8	17	24%	11%	83	+0.0
✕Francisco Santana 2010 · A	22	43	42→50	57→55	43	212/261/324	112	266	9	13	24%	6%	63	-1.3	196/233/289	93	282	6	8	31%	4%	45	-2.7	161/180/254	93	230	6	6	32%	2%	13	-1.6
✕Kelvin Duran 2012 · A	21	42	38→45	53→55	42	201/253/285	83	276	5	15	28%	6%	51	-2.2	195/240/267	72	293	5	9	33%	5%	42	-2.9	148/177/184	36	220	4	12	34%	3%	-3	-1.3
✕Brian Pointer 2013 · A	21	38→41	44→45	53→50	36	187/250/303	116	295	11	11	39%	6%	56	-1.9	196/272/312	116	298	11	12	35%	8%	67	-1.1	194/274/314	120	289	11	13	34%	8%	65	-0.9
✕Nelson Medina 2022 · A	21	40	38→45	53→50	48	189/275/275	85	275	5	15	31%	10%	59	-1.6	188/260/285	97	334	7	13	42%	8%	55	-1.9	138/202/215	77	286	6	16	50%	7%	15	-1.7

Career Stats + Projections

Career Comps

Career Path Comps