Javier Acevedo — OGILVIE

Javier AcevedoC FCL Pirates

Age 19 L/R 5'9" / 145 lbs ROK HR -15%K -5% Svc 0.0 · Ctrl thru 2037

2026 ROS PROJECTION82 act + 8 ros · stats below = ROS only

showingROS

wRC+†51

AVG/OBP/SLG.143 / .250 / .143

PA8

HR0

K%38

BB%12

BABIP268

ISO79

MLB%0%

Value2026 · WAR

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

Tools · ContractCON 34 / POW 37

Toolsscout grade

CONTACT34

scouting grade only

POWER37

scouting grade only

EYE69

scouting grade only

SPEED52

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	+0.3	$0.7M	+$0.2M
2034	Pre-Arb	$1.0M	+0.3	$0.7M	+$0.2M
2035	Arb-1	$1M	+0.2	$0.4M	+$0.0M (cut)
2036	Arb-2	$2M	+0.1	$0.2M	+$0.0M (cut)
2037	Ext	beyond projection horizon · no WAR estimate
Totals		$3M		$3M	+$0.7M

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)
2024	17	ROK	DSL Pirates Black	—	97	74	14	1	0	0	22	23	1	1	2	189	381	203	584	14	275	24	23	300	89	-1	-1	—	—	+2	0.0
2025	18	ROK	DSL Pirates Black	—	111	86	27	2	2	1	24	17	1	7	3	314	468	419	887	105	382	15	22	408	162	+8	+0	—	—	+2	1.1
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	17	ROK MLE	DSL Pirates Black	—	97	82	11	1	0	0	14	33	1	1	2	134	268	146	414	12	217	34	14	202	23	-9	-1	—	—	+2	-0.8
2025	18	ROK MLE	DSL Pirates Black	—	111	95	22	2	1	1	15	25	1	7	3	232	342	305	648	74	306	23	14	297	87	-2	+0	—	—	+2	0.1
2024	17	ROK MLE	DSL Pirates Black	—	97	82	11	1	0	0	14	33	1	1	2	134	268	146	414	12	224	34	14	202	23	—	—	—	—	—	—
2024	17	ROK RAW	DSL Pirates Black	—	97	74	14	1	0	0	22	23	1	1	2	189	381	203	584	14	275	24	23	300	23	—	—	—	—	—	—
2025	18	ROK MLE	DSL Pirates Black	—	111	95	22	2	1	1	15	25	1	7	3	232	342	305	648	74	304	23	14	297	87	—	—	—	—	—	—
2025	18	ROK RAW	DSL Pirates Black	—	111	86	27	2	2	1	24	17	1	7	3	314	468	419	887	105	382	15	22	408	87	—	—	—	—	—	—
2024	17	ROK MLE	DSL Pirates Black	—	97	82	11	1	0	0	14	33	1	1	2	134	268	146	414	12	217	34	14	202	23	—	—	—	—	—	—
2025	18	ROK MLE	DSL Pirates Black	—	111	94	22	2	1	1	15	25	1	7	3	234	342	309	651	74	306	23	14	297	87	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2024	17	ROK MLE	DSL Pirates Black	—	97	82	11	1	0	0	14	33	1	1	2	134	268	146	414	12	217	34	14	202	23	—	—	—	—	—	—
2025	18	ROK MLE	DSL Pirates Black	—	111	94	22	2	1	1	15	25	1	7	3	234	342	309	651	74	306	23	14	297	87	—	—	—	—	—	—
YTD	19	ROK MLE	PIT	—	82	74	10	3	0	1	7	37	0	0	0	135	210	216	426	81	250	45	9	175	5	-9	+0	+0	+1	+2	-0.6
▸ 2026 season
YTD	19	ROK RAW	PIT	—	82	70	13	4	0	1	11	26	0	0	0	186	296	286	582	100	279	32	13	270	5	—	—	—	—	—	—
ROS	19	ROK MLE	PIT	0%	8	7	1	0	0	0	1	3	0	0	0	143	250	143	393		269	38	12	244	51	-0	+0	+0	+0	+0	-0.0
TOT	19	ROK MLE	PIT	—	90	81	11	3	0	1	8	40	0	0	0	136	213	210	423	74	250	44	9	181	9	-10	+0	+0	+2	+2	-0.6
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	20	MLB MLE	PIT	34%	184	163	30	5	1	2	17	57	2	3	1	184	269	264	533	80	271	31	9	255	59	-9	+0	+0	+3	+4	-0.2
2028	21	MLB MLE	PIT	48%	320	284	56	10	2	5	30	97	3	6	2	197	281	299	580	102	274	30	9	264	65	-13	+0	+0	+6	+7	-0.0
2029	22	MLB MLE	PIT	54%	420	374	74	13	2	7	39	125	4	8	2	198	281	299	580	102	276	30	9	270	69	-16	+1	+0	+8	+9	0.2
2030	23	MLB MLE	PIT	57%	486	432	88	15	3	9	46	143	5	9	3	204	288	315	603	111	277	29	9	273	71	-17	+1	+0	+9	+11	0.3
2031	24	MLB MLE	PIT	57%	520	461	95	17	3	10	49	153	5	10	3	206	289	321	610	115	278	29	9	275	72	-17	+1	+0	+9	+11	0.4
2032	25	MLB MLE	PIT	57%	520	461	95	17	3	10	49	152	5	10	3	206	289	321	610	115	278	29	9	276	73	-17	+1	+0	+9	+11	0.5
2033	26	MLB MLE	PIT	60%	520	461	95	17	3	10	49	152	5	10	3	206	289	321	610	115	278	29	9	276	73	-17	+1	+0	+9	+11	0.5
2034	27	MLB MLE	PIT	62%	520	460	94	16	3	10	50	153	5	10	3	204	289	317	607	113	278	29	10	276	73	-17	+1	+0	+9	+11	0.5
2035	28	MLB MLE	PIT	63%	520	460	93	16	3	10	50	153	5	10	3	202	287	315	603	113	277	29	10	275	72	-17	+1	-1	+9	+11	0.4
2036	29	MLB MLE	PIT	64%	520	459	93	16	3	10	51	154	5	10	3	203	289	316	605	113	276	30	10	273	71	-18	+1	-1	+9	+11	0.2
2027	20	MLB CTX	PIT	34%	63	56	11	2	0	1	6	20	1	1	0	196	286	286	571	89	270	32	10	246	59	-3	+0	+0	+1	+1	-0.0
2028	21	MLB CTX	PIT	48%	155	138	27	5	1	2	15	47	1	3	1	196	279	290	569	94	272	30	10	254	65	-6	+0	+0	+3	+3	-0.0
2029	22	MLB CTX	PIT	54%	228	203	40	7	1	4	21	68	2	4	1	197	279	300	579	103	274	30	9	260	69	-8	+0	+0	+4	+5	0.1
2030	23	MLB CTX	PIT	57%	275	244	50	9	2	5	26	81	3	5	2	205	289	320	609	115	275	29	9	263	71	-9	+0	+0	+5	+6	0.2
2031	24	MLB CTX	PIT	57%	294	261	53	9	2	5	28	86	3	6	2	203	288	310	598	107	276	29	10	264	72	-10	+0	+0	+5	+6	0.2
2032	25	MLB CTX	PIT	57%	294	261	53	9	2	5	28	86	3	6	2	203	288	310	598	107	276	29	10	265	73	-9	+0	+0	+5	+6	0.3
2033	26	MLB CTX	PIT	60%	314	278	57	10	2	6	30	92	3	6	2	205	289	320	610	115	276	29	10	265	73	-10	+0	+0	+6	+7	0.3
2034	27	MLB CTX	PIT	62%	323	286	58	10	2	6	31	95	3	6	2	203	287	315	602	112	276	29	10	265	73	-10	+0	+0	+6	+7	0.3
2035	28	MLB CTX	PIT	63%	329	291	59	10	2	6	32	97	3	6	2	203	288	313	601	110	275	29	10	264	72	-11	+0	-0	+6	+7	0.2
2036	29	MLB CTX	PIT	64%	332	294	59	10	2	6	32	99	3	6	2	201	286	310	595	109	274	30	10	263	71	-11	+0	-1	+6	+7	0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2607	2312	467	81	16	46	249	771	25	49	16	202	287	311	597	109	279	30	10	263	70	-89	+3	-1	+47	+56	1.6
/ 162G	—	A+C		—	650	576	116	20	4	11	62	192	6	12	4	201	285	307	593	106	279	30	10	263	70	-22	+1	-0	+12	+14	0.4
Career	—	MLE		—	4746	4199	847	145	27	84	460	1400	46	94	31	202	288	309	597	107	278	29	10	272	70	-157	+7	-2	+81	+98	2.7
/ 162G	—	MLE		—	650	575	117	20	4	12	63	192	6	13	4	203	288	315	603	111	281	30	10	272	70	-23	+1	-0	+12	+14	0.4

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Brendan Ryanlast yr '15 career totals — 9 seasons, 2,872 PA	4.3	2,872	19	67	234	295	315	+30	+85	10.6	11.0
/162	664	4	15	+6.9	+19.7	2.4	pk7: 11
#2Sandy 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
#3Ronny 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
#4Adam 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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 7 projected seasons	4.1	2,701	49	52	203	284	313	+48	+28	3.5	3.3
/162	664	12	13	+11.9	+6.9	0.9	pk7: 3
#5Ryan 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
#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
Javier Acevedo (OGILVIE)	19	29→34	32→37	47→52	69	181/263/259	78	269	1	1	32%	9%	51	-0.4	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕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
✕Michael De La Cruz 2016 · A	20	41	36→40	45→50	44	192/261/262	70	277	4	9	30%	8%	50	-2.3	192/257/257	65	308	3	10	35%	8%	47	-2.5	156/232/188	31	269	0	14	38%	9%	20	-1.5
✕Kleiber Rodriguez 2018 · A	19	37	35→30	46→40	46	175/250/234	59	244	2	5	27%	8%	40	-3.0	219/280/288	69	282	3	5	21%	7%	63	-1.4	240/298/301	61	284	2	4	15%	8%	71	-0.4
✕Yohairo Cuevas 2023 · A	19	41→38	37→40	49→50	44	190/267/265	75	303	4	9	36%	9%	53	-2.1	194/280/281	87	310	5	14	35%	10%	63	-1.4	189/288/270	81	300	4	18	34%	11%	62	-0.8
✕Nicoll Parra 2012 · A	18	39	36→30	44→55	45	183/264/252	70	275	4	8	32%	8%	50	-2.3	197/307/251	54	268	1	18	24%	12%	67	-1.1	186/321/224	38	254	0	27	22%	14%	65	-0.4
✕Marco Guzman 2014 · A	19	39	36→45	44→50	48	185/262/256	71	249	3	8	25%	9%	50	-2.3	207/264/294	87	251	5	7	19%	7%	58	-1.7	224/262/324	100	290	5	8	24%	5%	62	-0.5
✕Richard Rodriguez 2012 · A	19	39	36→30	48→50	45	186/255/247	61	260	3	12	28%	8%	45	-2.7	210/266/251	41	261	1	14	19%	7%	49	-2.4	233/291/254	20	278	0	16	15%	7%	56	-0.6
✕Shane Mardirosian 2015 · A	19	37→40	35→40	47→45	42	176/238/240	64	244	2	9	27%	6%	36	-3.3	198/247/271	73	276	4	10	28%	5%	47	-2.6	196/246/267	70	274	4	9	28%	5%	43	-1.3
✕Jefry Puente 2012 · A	20	35	37→45	55→50	47	170/258/247	77	249	3	11	30%	9%	47	-2.6	192/268/269	77	260	3	14	25%	8%	55	-2.0	163/244/219	56	209	0	27	20%	7%	32	-0.9
✕Jose Acosta 2019 · A	19	39	37→45	53→55	47	185/259/257	72	250	4	14	26%	8%	49	-2.4	225/287/322	97	319	6	19	29%	7%	74	-0.6	203/263/320	117	308	11	21	36%	6%	62	-0.7
✕Oliver Carmona 2017 · A	19	41	35→40	48→50	47	190/253/249	58	238	2	10	20%	7%	44	-2.8	210/279/286	76	266	5	11	21%	8%	62	-1.4	211/288/283	72	260	5	13	20%	9%	68	-0.5
✕Cristhian Vasquez 2016 · A	19	34	36→30	51→50	43	168/238/234	66	250	4	10	33%	8%	35	-3.4	179/237/253	74	242	5	9	27%	6%	39	-3.1	164/220/234	70	213	4	8	24%	5%	26	-1.4
✕Leandro Pineda 2022 · A	20	35→45	37→45	43→45	46	171/257/239	68	251	4	7	31%	9%	45	-2.7	189/259/292	103	281	8	5	33%	7%	57	-1.8	210/283/339	129	268	13	5	26%	7%	74	-0.4
✕Delbis Arcila 2012 · A	19	41	39→45	46→45	47	198/273/285	87	278	6	7	29%	9%	60	-1.6	207/272/312	105	293	9	6	30%	8%	66	-1.1	202/268/315	113	282	10	4	30%	8%	64	-0.6
✕Vicmal De La Cruz 2013 · A	19	42	39→40	49→50	43	201/264/291	89	282	5	8	29%	7%	57	-1.8	183/238/255	72	271	4	6	32%	6%	40	-3.1	149/204/202	52	220	3	3	32%	5%	13	-1.4
✕Jose Manuel Orozco 2010 · A	19	34	39→45	50→45	42	170/223/263	92	223	6	6	26%	6%	36	-3.4	208/253/303	95	284	8	7	28%	5%	56	-1.9	221/269/347	125	311	14	7	32%	5%	71	-0.3
✕Luis Barrera 2015 · A	19	35→45	40→45	49→50	44	177/241/269	92	232	7	7	27%	7%	45	-2.7	205/249/284	79	288	4	8	29%	5%	50	-2.3	247/292/355	108	317	4	17	23%	5%	79	-0.1
✕Oswal Leones 2021 · A	20	41	36→30	46→50	46	196/259/262	66	262	4	12	25%	7%	49	-2.4	198/260/265	67	297	3	8	31%	7%	50	-2.3	180/247/237	57	275	2	9	33%	7%	36	-1.1
✕Juan Mosquera 2007 · A	19	38	35→30	49→55	44	180/246/238	57	263	3	15	31%	8%	38	-3.2	201/290/246	45	281	1	14	26%	10%	58	-1.7	210/308/237	27	280	0	17	22%	11%	61	-0.5
✕Herman Armas 2006 · A	19	37	36→45	41→50	44	179/250/243	64	257	4	7	30%	8%	42	-2.9	210/278/316	106	287	9	10	28%	7%	70	-0.9	212/283/329	117	282	11	12	27%	7%	72	-0.3

Career Stats + Projections

Career Comps

Career Path Comps