Angel Acosta — OGILVIE

Angel AcostaC Quad Cities River Bandits

Age 23 L/R 5'9" / 160 lbs A+ HR -15%K -8% Svc 0.0 · Ctrl thru 2035

2026 ROS PROJECTION276 act + 9 ros · stats below = ROS only

showingROS

wRC+†68

AVG/OBP/SLG.250 / .333 / .250

PA9

HR0

K%22

BB%11

BABIP280

ISO62

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$14M ctrl surplus

Tools · ContractCON 45 / POW 20

Toolsscout grade

CONTACT45

scouting grade only

POWER20

scouting grade only

EYE30

scouting grade only

SPEED50

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	+0.5	$1M	+$0.9M
2031	Pre-Arb	$0.9M	+0.4	$1M	+$0.6M
2032	Pre-Arb	$0.9M	+0.4	$1M	+$0.5M
2033	Arb-1	$1M	+0.3	$0.7M	+$0.0M
2034	Arb-2	$2M	+0.1	$0.2M	+$0.0M (cut)
2035	Arb-3	$1.0M	—	—	—
Totals		$4M		$5M	+$2M

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. Catcher framing: only 2026 Statcast framing is modeled (Baseball Savant server-caches the leaderboard to the current season); prior-year framing is unmodeled — projections for established framers may run below FG-DC by 1-3 WAR.

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)
2023	20	ROK	DSL Royals Blue	—	141	116	34	7	1	2	16	20	6	1	4	293	406	422	828	129	330	14	11	369	136	+6	-1	—	—	+3	0.8
2024	21	ROK	ACL Royals	—	101	87	24	4	0	1	10	13	2	3	2	276	364	356	720	80	307	13	10	325	106	+1	-0	—	—	+2	0.3
2025	22	A	Columbia Fireflies	—	275	244	60	9	0	1	20	34	2	12	5	246	308	295	603	49	276	12	7	270	69	-10	+0	—	—	+6	-0.4
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2023	20	ROK MLE	DSL Royals Blue	—	141	122	27	5	1	2	10	29	6	1	4	221	312	328	639	107	249	21	7	269	68	-5	-1	—	—	+3	-0.4
2024	21	ROK MLE	ACL Royals	—	101	91	20	3	0	1	6	18	2	3	2	220	283	286	569	66	246	18	6	249	55	-5	-0	—	—	+2	-0.4
2025	22	A MLE	Columbia Fireflies	—	275	251	51	8	0	1	13	49	2	12	5	203	248	247	495	44	234	18	5	218	34	-22	+0	—	—	+6	-1.6
2023	20	ROK MLE	DSL Royals Blue	—	141	122	27	5	1	2	10	29	6	1	4	221	312	328	639	107	266	21	7	269	68	—	—	—	—	—	—
2023	20	ROK RAW	DSL Royals Blue	—	141	116	34	7	1	2	16	20	6	1	4	293	406	422	828	129	330	14	11	369	68	—	—	—	—	—	—
2024	21	ROK MLE	ACL Royals	—	101	91	20	3	0	1	6	18	2	3	2	220	283	286	569	66	257	18	6	249	55	—	—	—	—	—	—
2024	21	ROK RAW	ACL Royals	—	101	87	24	4	0	1	10	13	2	3	2	276	364	356	720	80	307	13	10	325	55	—	—	—	—	—	—
2025	22	A MLE	Columbia Fireflies	—	275	251	51	8	0	1	13	49	2	12	5	203	248	247	495	44	243	18	5	218	34	—	—	—	—	—	—
2025	22	A RAW	Columbia Fireflies	—	275	244	60	9	0	1	20	34	2	12	5	246	308	295	603	49	276	12	7	270	34	—	—	—	—	—	—
2023	20	ROK MLE	DSL Royals Blue	—	141	124	27	5	1	2	10	29	6	1	4	218	312	323	634	105	249	21	7	269	68	—	—	—	—	—	—
2024	21	ROK MLE	ACL Royals	—	101	92	20	3	0	1	6	18	2	3	2	217	283	283	565	65	246	18	6	249	55	—	—	—	—	—	—
2025	22	A MLE	Columbia Fireflies	—	275	258	51	8	0	1	13	49	2	12	5	198	248	240	488	43	234	18	5	218	34	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	20	ROK MLE	DSL Royals Blue	—	141	124	27	5	1	2	10	29	6	1	4	218	312	323	634	105	249	21	7	269	68	—	—	—	—	—	—
2024	21	ROK MLE	ACL Royals	—	101	92	20	3	0	1	6	18	2	3	2	217	283	283	565	65	246	18	6	249	55	—	—	—	—	—	—
2025	22	A MLE	Columbia Fireflies	—	275	258	51	8	0	1	13	49	2	12	5	198	248	240	488	43	234	18	5	218	34	—	—	—	—	—	—
YTD	23	A+ MLE	KC	—	276	244	61	6	2	2	17	51	6	6	4	250	315	316	630	66	304	18	6	277	74	-9	-0	+0	+5	+6	0.2
▸ 2026 season
YTD	23	A+ RAW	KC	—	215	182	52	6	2	1	21	29	5	3	3	286	375	357	732	71	331	13	10	327	74	—	—	—	—	—	—
YTD	23	AA RAW	KC	—	61	55	13	1	0	2	3	10	1	3	1	236	288	364	652	127	250	16	5	284	74	—	—	—	—	—	—
ROS	23	A+ MLE	KC	0%	9	8	2	0	0	0	1	2	0	0	0	250	333	250	583		283	22	11	268	68	-0	+0	+0	+0	+0	0.0
TOT	23	A+ MLE	KC	—	285	252	63	6	2	2	18	53	6	6	4	250	315	313	629	63	305	19	6	277	74	-9	-0	+0	+5	+6	0.2
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	24	MLB MLE	KC	30%	364	334	81	12	2	4	22	67	5	6	3	243	299	326	626	84	285	18	6	280	75	-11	+0	+0	+7	+8	0.4
2028	25	MLB MLE	KC	44%	410	375	91	14	2	6	26	76	6	7	4	243	302	339	641	96	286	19	6	287	81	-9	-0	+0	+7	+9	0.7
2029	26	MLB MLE	KC	51%	438	401	97	15	2	7	28	82	6	8	4	242	301	342	643	100	286	19	6	292	83	-9	+0	+0	+8	+9	0.9
2030	27	MLB MLE	KC	52%	447	408	100	15	2	8	30	84	6	8	4	245	306	350	657	105	286	19	7	292	84	-8	+0	+0	+8	+10	0.9
2031	28	MLB MLE	KC	53%	450	411	100	15	2	8	30	85	6	8	4	243	304	348	652	105	286	19	7	291	83	-9	+0	-1	+8	+10	0.8
2032	29	MLB MLE	KC	57%	443	404	97	15	2	7	30	85	6	8	4	240	302	339	641	99	285	19	7	290	82	-9	+0	-1	+8	+10	0.7
2033	30	MLB MLE	KC	60%	436	397	95	14	2	7	30	85	6	7	4	239	303	338	640	98	284	19	7	287	80	-10	-0	-2	+8	+9	0.5
2034	31	MLB MLE	KC	61%	410	374	87	13	1	6	28	81	5	7	3	233	295	321	616	88	281	20	7	282	77	-11	+0	-3	+7	+9	0.3
2035	32	MLB MLE	KC	62%	382	348	80	12	1	5	26	77	5	6	3	230	293	313	606	83	279	20	7	277	74	-12	+0	-4	+7	+8	-0.0
2027	24	MLB CTX	KC	30%	110	100	24	3	1	1	7	20	2	2	1	240	303	320	623	80	282	18	6	266	75	-3	+0	+0	+2	+2	0.1
2028	25	MLB CTX	KC	44%	181	165	39	6	1	2	11	34	3	3	2	236	296	321	617	85	283	19	6	273	81	-4	-0	+0	+3	+4	0.3
2029	26	MLB CTX	KC	51%	222	203	48	7	1	3	14	41	3	4	2	236	295	325	621	89	283	18	6	277	83	-4	+0	+0	+4	+5	0.5
2030	27	MLB CTX	KC	52%	234	213	52	8	1	4	16	44	3	4	2	244	306	347	653	103	283	19	7	278	84	-4	+0	+0	+4	+5	0.5
2031	28	MLB CTX	KC	53%	240	219	53	8	1	4	16	46	3	4	2	242	303	342	645	100	283	19	7	277	83	-5	+0	-0	+4	+5	0.4
2032	29	MLB CTX	KC	57%	252	230	54	8	1	4	17	48	3	4	2	235	296	330	626	96	282	19	7	275	82	-5	+0	-1	+4	+5	0.4
2033	30	MLB CTX	KC	60%	259	236	55	8	1	4	18	50	3	4	2	233	296	326	622	93	281	19	7	273	80	-6	+0	-1	+5	+6	0.3
2034	31	MLB CTX	KC	61%	251	229	53	8	1	3	17	50	3	4	2	231	293	314	608	83	278	20	7	269	77	-7	+0	-2	+4	+5	0.1
2035	32	MLB CTX	KC	62%	238	217	49	7	1	3	16	48	3	4	2	226	288	309	597	83	276	20	7	263	74	-7	+0	-2	+4	+5	-0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1987	1812	427	63	9	28	132	381	26	33	17	236	297	327	624	91	283	19	7	273	76	-47	-0	-6	+35	+43	2.6
/ 162G	—	A+C		—	650	593	140	21	3	9	43	125	9	11	6	236	298	327	625	91	284	19	7	273	76	-15	-0	-2	+12	+14	0.8
Career	—	MLE		—	4306	3924	928	141	17	62	280	820	61	81	44	236	298	328	626	92	282	19	7	281	76	-89	-0	-10	+68	+82	5.1
/ 162G	—	MLE		—	650	592	140	21	3	9	42	124	9	12	7	236	297	328	624	91	283	19	6	281	76	-15	-0	-2	+12	+14	0.9

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
#2Toby Halllast yr '08 career totals — 8 seasons, 2,501 PA	3.8	2,501	45	2	263	298	374	+32	+38	9.9	10.0
/162	664	12	1	+8.4	+10.1	2.6	pk7: 10
#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
#4Adeiny Hechavarríalast yr '20 career totals — 9 seasons, 3,288 PA	5.0	3,288	37	35	253	291	351	+32	+46	8.6	8.8
/162	664	7	7	+6.5	+9.3	1.7	pk7: 9
#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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 5 projected seasons	3.0	1,991	31	34	240	298	336	+36	+20	4.2	4.0
/162	664	10	11	+11.9	+6.7	1.4	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
Angel Acosta (OGILVIE)	23	45	20	50	30	232/288/294	62	283	2	6	18%	6%	68	-0.5	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Alex Swim 2014 · A	23	47	35→30	48→45	47	219/270/282	63	264	2	4	18%	6%	57	-1.8	249/282/299	50	293	1	4	15%	4%	64	-1.3	264/291/303	38	306	0	3	13%	3%	66	-0.5
✕Davis Bradshaw 2021 · A	23	46	36→40	52→50	39	219/261/285	66	286	3	12	24%	4%	55	-2.0	252/305/325	73	319	4	11	21%	5%	80	-0.1	271/324/338	67	344	3	10	21%	5%	87	+0.2
✕Alvaro Ramirez 2009 · A	23	45	38→40	49→55	46	213/277/299	86	263	5	15	20%	6%	65	-1.2	238/293/315	77	287	5	16	18%	5%	74	-0.6	298/358/375	77	330	4	27	10%	5%	110	+0.8
✕Wilbis Santiago 2019 · A	23	49	37→40	47→30	42	230/262/307	77	261	4	6	14%	3%	59	-1.6	233/266/314	81	267	4	5	14%	3%	63	-1.4	260/287/342	82	291	2	2	11%	2%	74	-0.3
✕Cole Peterson 2019 · A	23	47→49	35→30	52→55	42	222/258/283	61	276	2	15	20%	4%	52	-2.2	214/253/277	63	262	2	18	18%	5%	49	-2.4	207/245/263	56	250	1	21	17%	4%	41	-1.6
✕Junior Sosa 2014 · A	23	46	35→30	47→55	44	216/263/275	59	272	2	14	21%	6%	53	-2.1	225/279/296	71	291	4	11	22%	7%	63	-1.3	229/300/256	27	311	0	9	24%	9%	60	-0.9
✕Tyler Shryock 2014 · A	23	49	34→30	52→50	47	224/272/282	57	264	1	12	15%	6%	57	-1.8	209/258/255	46	263	2	11	20%	6%	46	-2.6	193/240/204	11	242	0	12	19%	5%	24	-2.1
✕Darren Baker 2022 · A	23	51→56	38→30	47→60	44	242/283/327	85	300	5	9	21%	5%	72	-0.7	247/293/312	65	321	3	19	22%	6%	72	-0.7	253/300/306	54	328	2	25	22%	6%	70	-0.7
✕Alvaro Rondon 2015 · A	24	45	36→30	53→55	41	214/255/286	72	286	3	10	26%	5%	52	-2.2	225/270/293	68	293	2	16	22%	6%	59	-1.6	244/285/300	56	307	0	27	19%	5%	65	-0.4
✕Omar Casamayor 2010 · A	23	48	35→40	46→55	42	227/272/287	60	283	2	12	20%	4%	59	-1.7	227/274/291	64	293	3	8	22%	5%	61	-1.5	256/297/297	41	315	0	2	18%	5%	66	-0.3
✕Erlin Cerda 2017 · A	23	44	36→40	51→55	42	205/266/275	70	280	2	11	26%	6%	55	-2.0	195/240/267	72	302	3	8	34%	5%	42	-2.9	164/198/208	44	258	0	8	35%	4%	9	-1.2
✕Stephen Gaylor 2015 · A	23	47	37→30	52→55	39	219/266/296	77	308	4	9	29%	5%	59	-1.7	229/281/281	52	297	1	16	22%	6%	61	-1.5	228/281/269	40	297	1	19	22%	6%	54	-0.9
✕Tyler Sullivan 2016 · A	23	47→48	35→30	50	47	218/279/275	57	268	2	10	19%	6%	59	-1.6	216/268/275	59	280	2	13	22%	6%	55	-2.0	216/266/268	53	278	1	16	22%	5%	50	-1.5
✕Jake Peter 2016 · A	23	48→55	37→40	54→50	43	228/272/302	73	290	3	12	22%	5%	62	-1.4	234/282/319	85	314	7	9	26%	6%	70	-0.8	231/282/318	87	316	8	8	28%	6%	68	-0.8
✕Kyle Holder 2017 · A	23	50→47	35→40	45	40	237/266/297	60	291	3	8	20%	3%	58	-1.7	228/267/308	80	276	6	6	19%	5%	62	-1.4	217/270/302	84	265	6	5	20%	6%	59	-0.9
✕David Martin 2023 · A	22	45	39→30	49→30	42	211/285/300	89	297	5	7	29%	6%	68	-1.0	221/302/288	67	277	4	4	20%	8%	72	-0.7	240/332/298	58	287	4	1	16%	10%	84	+0.1
✕Jordan Cowan 2018 · AA	23	49→51	36→30	48→50	44	232/282/296	64	299	4	11	23%	6%	65	-1.2	235/288/291	56	304	3	12	22%	7%	66	-1.1	237/298/294	57	306	4	17	22%	7%	68	-0.5
✕Wang-Wei Lin 2011 · A	23	47→53	36→30	50	47	219/286/279	61	282	4	11	23%	8%	63	-1.3	228/301/300	72	297	4	9	23%	8%	74	-0.6	230/307/298	68	298	4	9	22%	8%	72	-0.5
✕Keith Grieshaber 2017 · A	22	48	35→40	51→55	39	224/268/291	66	297	2	11	24%	4%	59	-1.7	233/294/321	88	294	5	17	21%	6%	76	-0.4	244/313/339	94	299	6	26	19%	6%	84	+0.1
✕Jeremy Arocho 2021 · A	22	48→45	36→30	48→60	47	224/285/296	72	288	3	10	22%	7%	66	-1.1	229/326/283	54	319	2	26	25%	12%	80	-0.2	223/334/268	45	305	1	34	23%	14%	77	-0.2

Career Stats + Projections

Career Comps

Career Path Comps