Javier Acevedo

C FCL Pirates

Age 20 L/R 5'9" / 145 lbs ROK HR -15%K -5% Svc 0.0 · Ctrl thru 2038

Overview

ROKPROSPECTMiLBFA 2039

OGV OFP35OGV rank#1330ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	17	ROKDSL Pirates B…	97	.189/.381/.203	0	1	26	—	.125/.278/.138
2025	18	ROKDSL Pirates B…	111	.314/.468/.419	1	7	74	—	.204/.333/.269
2026	19	ROKPIT	82	.186/.296/.286	1	0	5	—	.135/.210/.216
2027PROJMLE	20	MLBPIT	192	.202/.280/.278	2	1	60	0.0
2028PROJ34% MLB	21	MLBPIT	35	.207/.285/.293	0	0	66	-0.0
2029PROJ48% MLB	22	MLBPIT	92	.211/.289/.307	1	0	71	0.1

Next 3 projected WAR 0.0Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2038Service0.0First FA2039

2027MiLB2028MiLB2029MiLB2030MiLB2031MiLB2032MiLB2033Pre-Arb$0.9M2034Pre-Arb$1.0M+4

Skills · percentileMiLB Statcast 2026 Rk

ISO41

BB%37

Whiff%34

Z-Con%19

wRC+12

K%12

Career WAR0.0 WAR median (P10 0.0 / P90 0.0, comp-based) · star 1% · didn't stick 95%

CompsCarlos Franco (age 20) · David Medina (age 20) · Mike McDade (age 20)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 46 proj PA

wRC+†60

AVG/OBP/SLG.200 / .277 / .275

PA46

HR0

K%29

BB%9

ISO76

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$16M ctrl surplus

Tools · Contract

Contract ESTIMATED · service-time + WAR-based estimator (needs verification)

Status MiLB

MLB Debut 2033

Service 0 yrs (est)

Team Control Through 2038

First FA Year 2039

Year	Status	Salary	Proj WAR	Value	Surplus
2027	MiLB	still in minors · estimated debut 2033
2028	MiLB	still in minors · estimated debut 2033
2029	MiLB	still in minors · estimated debut 2033
2030	MiLB	still in minors · estimated debut 2033
2031	MiLB	still in minors · estimated debut 2033
2032	MiLB	still in minors · estimated debut 2033
2033	Pre-Arb	$0.9M	+0.5	$1M	+$0.8M
2034	Pre-Arb	$1.0M	+0.5	$1M	+$0.7M
2035	Pre-Arb	$1.0M	+0.3	$0.7M	+$0.2M
2036	Arb-1	$1M	+0.2	$0.4M	+$0.0M
2037	Arb-2	$0.4M	—	—	—
2038	Ext	beyond projection horizon · no WAR estimate
Totals		$4M		$3M	+$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. 2027 = full-season projection (no games played yet). 2028+ via Advanced Marcel + aging curve. Catcher framing: only 2027 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 1-3 WAR low.

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	26	—	—	—	—	—	—
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	74	—	—	—	—	—	—
2026	19	ROK	FCL Pirates	—	82	70	13	4	0	1	11	26	0	0	0	186	296	286	582	100	279	32	13	270	5	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	17	ROK MLE	DSL Pirates Black	—	97	80	10	1	0	0	16	28	1	1	2	125	278	138	416	13	184	29	16	207	26	—	—	—	—	—	—
2025	18	ROK MLE	DSL Pirates Black	—	111	93	19	1	1	1	17	21	1	7	3	204	333	269	602	65	255	19	15	277	74	—	—	—	—	—	—
2026	19	ROK MLE	FCL Pirates	—	82	74	10	3	0	1	7	37	0	0	0	135	210	216	426	81	227	45	9	176	5	—	—	—	—	—	—
2024	17	ROK MLE	DSL Pirates Black	—	97	80	10	1	0	0	16	28	1	1	2	125	278	138	416	13	192	29	16	207	26	—	—	—	—	—	—
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	26	—	—	—	—	—	—
2025	18	ROK MLE	DSL Pirates Black	—	111	93	19	1	1	1	17	21	1	7	3	204	333	269	602	65	254	19	15	277	74	—	—	—	—	—	—
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	74	—	—	—	—	—	—
2026	19	ROK MLE	FCL Pirates	—	82	74	10	3	0	1	7	37	0	0	0	135	210	216	426	81	250	45	9	176	5	—	—	—	—	—	—
2026	19	ROK RAW	FCL Pirates	—	82	70	13	4	0	1	11	26	0	0	0	186	296	286	582	100	279	32	13	270	5	—	—	—	—	—	—
2024	17	ROK MLE	DSL Pirates Black	—	97	80	10	1	0	0	16	28	1	1	2	125	278	138	416	13	184	29	16	207	26	—	—	—	—	—	—
2025	18	ROK MLE	DSL Pirates Black	—	111	92	19	1	1	1	17	21	1	7	3	207	333	272	605	65	255	19	15	277	74	—	—	—	—	—	—
2026	19	ROK MLE	FCL Pirates	—	82	75	10	3	0	1	7	37	0	0	0	133	210	213	423	80	227	45	9	176	5	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	17	ROK MLE	DSL Pirates Black	—	97	80	10	1	0	0	16	28	1	1	2	125	278	138	416	13	184	29	16	207	26	—	—	—	—	—	—
2025	18	ROK MLE	DSL Pirates Black	—	111	92	19	1	1	1	17	21	1	7	3	207	333	272	605	65	255	19	15	277	74	—	—	—	—	—	—
2026	19	ROK MLE	FCL Pirates	—	82	75	10	3	0	1	7	37	0	0	0	133	210	213	423	80	227	45	9	176	5	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	20	MLB MLE	PIT	0%	192	172	34	5	1	2	17	56	1	1	0	202	280	278	557	76	286	29	9	257	60	-9	+0	+0	+3	+4	0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	21	MLB MLE	PIT	34%	101	90	19	3	1	1	9	29	1	1	0	207	285	295	580	88	288	29	9	266	66	-4	+0	+0	+2	+2	0.0
2029	22	MLB MLE	PIT	48%	189	168	36	6	1	3	17	54	2	1	0	212	290	310	600	98	289	29	9	274	71	-6	+0	+0	+3	+4	0.1
2030	23	MLB MLE	PIT	54%	284	255	55	9	2	5	25	79	2	1	0	216	293	322	616	107	290	28	9	280	75	-8	+0	+0	+5	+6	0.3
2031	24	MLB MLE	PIT	55%	364	325	71	11	2	7	33	101	3	2	1	219	296	333	629	114	292	28	9	285	79	-9	+0	+0	+7	+8	0.5
2032	25	MLB MLE	PIT	56%	408	364	81	13	3	8	37	112	4	2	1	221	299	341	639	119	292	27	9	289	82	-9	+0	+0	+7	+9	0.7
2033	26	MLB MLE	PIT	56%	435	389	86	14	3	9	39	119	4	2	1	222	299	343	642	122	292	27	9	290	82	-9	+0	+0	+8	+9	0.8
2034	27	MLB MLE	PIT	55%	445	398	88	14	3	9	40	122	4	2	1	221	298	341	639	120	291	27	9	289	81	-10	+0	+0	+8	+10	0.8
2035	28	MLB MLE	PIT	59%	445	398	87	14	3	9	40	123	4	2	1	219	296	336	632	117	290	28	9	286	80	-11	+0	-1	+8	+10	0.6
2036	29	MLB MLE	PIT	61%	439	394	85	13	3	9	39	123	3	2	4	216	293	329	622	113	288	28	9	282	77	-12	-1	-1	+8	+10	0.3
2037	30	MLB MLE	PIT	62%	430	386	83	13	3	8	38	122	3	1	11	213	289	322	611	108	286	28	9	277	74	-13	-4	-2	+8	+9	-0.3
2028	21	MLB CTX	PIT	34%	35	32	6	1	0	0	3	10	0	0	0	207	285	293	578	86	288	29	9	265	66	-1	+0	+0	+1	+1	-0.0
2029	22	MLB CTX	PIT	48%	92	83	18	3	1	1	8	26	1	0	0	211	289	307	596	96	290	28	9	272	71	-3	+0	+0	+2	+2	0.1
2030	23	MLB CTX	PIT	54%	154	138	29	5	1	2	14	43	1	1	0	215	293	319	611	104	291	28	9	278	75	-4	+0	+0	+3	+3	0.2
2031	24	MLB CTX	PIT	55%	202	180	40	7	1	4	18	56	2	1	0	218	296	328	624	110	292	28	9	283	79	-5	+0	+0	+4	+4	0.3
2032	25	MLB CTX	PIT	56%	228	204	46	8	2	4	20	62	2	1	0	220	298	336	634	116	292	27	9	287	82	-5	+0	+0	+4	+5	0.4
2033	26	MLB CTX	PIT	56%	245	219	49	8	2	5	22	67	2	1	0	221	298	339	637	118	292	27	9	288	82	-5	+0	+0	+4	+5	0.5
2034	27	MLB CTX	PIT	55%	246	220	49	8	2	5	22	68	2	1	0	220	297	336	633	116	291	28	9	286	81	-5	+0	+0	+4	+5	0.5
2035	28	MLB CTX	PIT	59%	263	235	52	9	2	5	24	73	2	1	1	218	295	331	626	113	290	28	9	284	80	-6	-0	-0	+5	+6	0.3
2036	29	MLB CTX	PIT	61%	267	239	53	9	2	5	24	75	2	1	2	215	292	325	617	110	289	28	9	280	77	-7	-1	-1	+5	+6	0.2
2037	30	MLB CTX	PIT	62%	267	239	51	8	2	5	24	76	2	1	7	212	288	317	606	105	287	28	9	275	74	-8	-3	-1	+5	+6	-0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1999	1789	393	66	15	36	179	556	16	8	10	220	296	334	630	114	296	28	9	282	75	-52	-2	-3	+36	+43	2.3
/ 162G	—	A+C		—	650	582	128	21	5	12	58	181	5	3	3	220	296	335	631	115	296	28	9	282	75	-17	-1	-1	+12	+14	0.7
Career	—	MLE		—	3876	3456	737	116	25	70	361	1083	32	24	25	213	294	322	616	109	287	28	9	279	75	-94	-5	-4	+64	+78	3.9
/ 162G	—	MLE		—	650	580	123	19	4	12	61	182	5	4	4	212	293	321	614	109	285	28	9	279	75	-17	-1	-1	+12	+14	0.7

How the minor-league lines were translated

One row per minor-league stint. Open a row to see each step: the raw rate, the park adjustment, the league/level factor, the age adjustment (hitters) and the resulting MLE rate. Factors are the same ones listed on the MLE Factors page.

2026 ROKFCL Pirates · 82 PAwOBA .264 → .176 (−88)K% 31.7% → 45.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	31.71%	÷1.000	×1.440	—	—	45.66%
BB% (unintentional) /PA	13.41%	÷1.000	×0.620	—	×1.008	8.38%
HBP% /PA	0.00%	—	×0.720	—	×1.008	0.00%
Singles /BIP	18.18%	÷1.000	×0.820	×1.032	×1.008	15.50%
Doubles /BIP	9.09%	÷1.000	×0.720	×1.032	×1.008	6.80%
Triples /BIP	0.00%	÷1.000	×0.720	×1.032	×1.008	0.00%
Home runs /BIP	2.27%	÷1.000	×0.780	—	×1.008	1.79%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 19 vs a level average of 19.5 → +0.8% on BB/HBP/hit rates (0.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.032.

Result: wOBA .264 → .176; ISO .100 → .065; BABIP .279 → .227. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2025 DSLDSL Pirates Black · 111 PAwOBA .399 → .277 (−121)K% 15.3% → 18.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.32%	÷0.988	×1.220	—	—	18.90%
BB% (unintentional) /PA	21.62%	÷0.987	×0.700	—	×1.008	15.45%
HBP% /PA	0.90%	—	×0.700	—	×1.008	0.64%
Singles /BIP	31.88%	÷1.004	×0.680	×1.001	×1.008	21.76%
Doubles /BIP	2.90%	÷0.972	×0.600	×1.001	×1.008	1.80%
Triples /BIP	2.90%	÷1.019	×0.600	×1.001	×1.008	1.72%
Home runs /BIP	1.45%	÷0.931	×0.470	—	×1.008	0.74%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 86, 1B 101, 2B 94, 3B 104, K 98, BB 97 — applied at half strength. Age: age 18 vs a level average of 18.5 → +0.8% on BB/HBP/hit rates (0.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.001.

Result: wOBA .399 → .277; ISO .105 → .063; BABIP .382 → .255. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2024 DSLDSL Pirates Black · 97 PAwOBA .295 → .207 (−88)K% 23.7% → 29.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.71%	÷0.994	×1.220	—	—	29.09%
BB% (unintentional) /PA	22.68%	÷1.000	×0.700	—	×1.022	16.23%
HBP% /PA	1.03%	—	×0.700	—	×1.022	0.74%
Singles /BIP	25.49%	÷1.002	×0.680	×0.972	×1.022	17.20%
Doubles /BIP	1.96%	÷0.968	×0.600	×0.972	×1.022	1.21%
Triples /BIP	0.00%	÷1.009	×0.600	×0.972	×1.022	0.00%
Home runs /BIP	0.00%	÷1.000	×0.470	—	×1.022	0.00%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 100, 1B 100, 2B 94, 3B 102, K 99, BB 100 — applied at half strength. Age: age 17 vs a level average of 18.5 → +2.2% on BB/HBP/hit rates (1.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.972.

Result: wOBA .295 → .207; ISO .014 → .009; BABIP .275 → .184. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Jacob Stallingslast yr '25 career totals — 7 seasons, 1,850 PA	2.8	1,850	33	0	229	310	340	+33	+50	10.3	10.3
/162	664	12	0	+11.9	+17.9	3.7	pk7: 10
#2Curt Casalilast yr '24 career totals — 10 seasons, 1,566 PA	2.4	1,566	47	2	217	311	367	+28	+19	7.8	7.9
/162	664	20	1	+11.9	+7.9	3.3	pk7: 8
#3Sandy 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
#4Buck Rodgers'61-'69 * career totals — 9 seasons, 3,353 PA	5.0	3,353	31	17	239*	294*	339*	+60	+0	6.4	6.5
/162	664	6	3	+11.8	+0.0	1.3	pk7: 7
#5Fred Kendall'69-'80 * career totals — 8 seasons, 2,823 PA	4.3	2,823	31	5	231*	283*	340*	+48	+1	5.0	5.9
/162	664	7	1	+11.2	+0.1	1.2	pk7: 7
#6Ben Davis'98-'04 * career totals — 6 seasons, 1,698 PA	2.6	1,698	38	9	228*	295*	352*	+30	-0	3.6	3.6
/162	664	15	4	+11.5	-0.0	1.4	pk7: 4
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 6 projected seasons	3.1	2,045	39	9	218	292	332	+37	+24	3.6	3.5
/162	664	13	3	+11.9	+7.8	1.2	pk7: 3

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)	20	—	—	—	—	200/277/275	75	286	0	0	29%	9%	60	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Carlos Franco 2012 · A	20	35→45	37→45	52→45	39	172/228/241	69	254	5	9	33%	6%	33	-3.6	203/261/274	71	290	4	8	29%	7%	53	-2.1	214/266/324	110	318	13	2	35%	6%	64	-1.1
✕David Medina 2009 · A	20	34→42	36→45	45→40	43	164/244/230	65	258	4	5	35%	9%	37	-3.3	201/260/298	97	309	8	4	35%	7%	58	-1.7	196/247/303	107	299	9	2	36%	6%	51	-1.2
✕Mike McDade 2009 · A	20	37→47	37→50	47→30	35	183/222/256	73	273	5	3	34%	4%	33	-3.6	222/263/353	131	317	15	2	33%	4%	72	-0.7	252/298/377	125	322	14	1	25%	5%	89	+0.4
✕Kelly Aponte 2011 · A	20	36	39→40	49→45	37	177/229/259	82	276	6	4	37%	6%	37	-3.3	195/266/282	87	265	7	6	27%	8%	57	-1.8	174/267/258	85	216	8	5	22%	10%	53	-0.8
✕Gilbert Marrero 2016 · A	19	35	37→40	44→40	43	169/242/238	68	258	4	4	34%	8%	38	-3.2	181/235/248	67	324	3	6	42%	6%	36	-3.3	128/165/165	37	265	0	3	49%	4%	-12	-1.2
✕Rainer Nunez 2021 · A	20	36→46	38→45	39→30	42	177/227/252	75	224	6	4	24%	5%	35	-3.4	223/269/348	125	291	14	2	28%	5%	73	-0.6	237/278/350	113	315	14	1	28%	5%	74	-0.5
✕Juan Kelly 2013 · A	19	37→47	35→45	47→45	48	176/243/232	56	227	2	6	23%	8%	36	-3.3	191/269/255	64	241	3	8	20%	9%	52	-2.2	215/276/341	126	296	11	3	30%	7%	73	-0.5
✕Joey Curletta 2013 · A	19	39→49	36→55	48→45	36	181/240/242	62	306	3	5	40%	6%	38	-3.2	216/268/306	90	297	7	5	28%	6%	62	-1.4	208/273/366	158	289	20	4	34%	8%	79	-0.2
✕Carlos Sanchez 2010 · A	19	36	40→45	50→45	44	174/224/273	98	211	6	6	21%	6%	38	-3.2	202/255/301	99	238	6	7	17%	6%	56	-1.9	206/255/322	116	240	8	6	17%	5%	60	-0.6
✕Danny Contreras 2018 · A	20	34	35→40	49→50	51	164/247/225	61	221	3	8	25%	10%	37	-3.3	200/258/286	86	279	8	6	29%	7%	54	-2.0	192/231/274	82	255	14	2	30%	5%	39	-0.7
✕John Silviano 2014 · A	20	33→34	41→50	42→40	41	167/237/259	92	258	8	4	37%	8%	41	-3.0	183/239/277	94	328	8	5	43%	6%	45	-2.7	178/239/321	143	275	18	2	41%	7%	54	-1.1
✕Erick Gonzalez 2011 · A	20	36	34→30	43→50	45	174/239/226	52	241	2	7	27%	7%	34	-3.5	196/288/262	66	246	2	10	19%	11%	61	-1.5	180/304/238	59	213	1	14	14%	15%	61	-0.6
✕Luis Paz 2017 · A	21	36→33	40→45	50→40	37	179/225/274	95	258	6	6	32%	5%	38	-3.2	200/245/335	135	295	16	4	36%	5%	61	-1.5	185/230/333	148	257	20	1	36%	5%	53	-1.5
✕Derlin Figueroa 2022 · A	18	34→38	34→45	42→50	47	165/247/220	55	243	2	6	31%	9%	36	-3.4	190/262/294	104	257	10	9	29%	8%	59	-1.7	179/248/292	114	235	13	11	29%	8%	51	-1.0
✕Griffin Benson 2018 · A	20	39→25	35→45	48→30	39	185/241/238	54	281	3	4	34%	6%	36	-3.3	179/247/282	103	306	10	4	42%	7%	50	-2.3	151/228/272	121	262	13	2	45%	7%	39	-1.5
✕Matt Dean 2013 · A	20	40→49	38→45	48→40	31	181/228/264	83	330	5	6	44%	5%	37	-3.3	217/259/325	108	336	9	5	36%	4%	63	-1.3	215/259/328	114	327	10	3	36%	4%	61	-1.0
✕Héctor Gómez 2008 · A	20	35	40	44→50	41	178/228/263	86	239	8	8	29%	6%	38	-3.2	170/237/245	75	243	5	9	30%	8%	37	-3.3	136/214/200	65	193	4	10	30%	9%	18	-1.5
✕Jorge Parra 2015 · A	20	38	34→30	47→40	44	177/243/231	54	245	1	6	26%	7%	36	-3.3	183/235/242	59	248	2	6	25%	6%	35	-3.4	166/212/215	50	221	1	5	24%	5%	20	-1.5
✕Elehuris Montero 2017 · A	18	36→46	35→55	45→30	45	174/240/232	58	233	3	3	25%	7%	36	-3.4	213/267/327	114	280	10	3	27%	6%	68	-1.0	237/297/419	182	300	24	1	29%	6%	101	+1.1
✕Roberto Perez 2008 · A	19	34	37→40	48→30	42	168/240/236	68	248	5	4	32%	7%	37	-3.3	168/239/242	74	220	6	3	25%	7%	38	-3.2	140/217/207	68	172	7	1	23%	8%	22	-1.6

Javier Acevedo

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps