Ezequiel Aparicio

C DSL LAD Mega

Age 19 R/R 5'9" / 180 lbs ROK HR +8%BB -8% Svc 0.0 · Ctrl thru 2038

Overview

ROKPROSPECTMiLBFA 2039

OGV OFP35OGV rank#899ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2025	17	ROKDSL LAD Bauti…	68	.235/.426/.333	1	2	51	—	.130/.309/.148
2026	18	ROKDSL LAD Mega	106	.256/.425/.366	2	4	50	—	.159/.302/.216
2027PROJMLE	19	MLBLAD	216	.216/.303/.294	2	3	73	0.1
2028PROJ34% MLB	20	MLBLAD	38	.216/.304/.301	0	1	78	0.1
2029PROJ48% MLB	21	MLBLAD	101	.220/.307/.313	1	2	82	0.2

Next 3 projected WAR 0.4Projected 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

Z-Con%88

Chase%87

Whiff%81

BB%73

K%72

wOBA69

Career WAR0.0 WAR median (P10 0.0 / P90 0.0, comp-based) · star 0% · didn't stick 99%

CompsMichael Arroyo (age 19) · Jesus Rodriguez (age 19) · Jett Williams (age 19)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 56 proj PA

wRC+†73

AVG/OBP/SLG.214 / .301 / .291

PA56

HR1

K%25

BB%9

ISO78

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$31M 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	+0.8	$2M	+$2M
2034	Pre-Arb	$1.0M	+0.8	$2M	+$1M
2035	Pre-Arb	$1.0M	+0.7	$2M	+$1M
2036	Arb-1	$3M	+0.6	$1M	+$0.1M
2037	Arb-2	$4M	+0.5	$0.9M	+$0.0M (cut)
2038	Arb-3	$4M	+0.3	$0.5M	+$0.0M (cut)
Totals		$6M		$8M	+$4M

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)
2025	17	ROK	DSL LAD Bautista	—	68	51	12	2	0	1	10	12	7	2	1	235	426	333	760	98	289	18	15	366	51	—	—	—	—	—	—
2026	18	ROK	DSL LAD Mega	—	106	82	21	3	0	2	20	18	4	4	1	256	425	366	790	110	306	17	19	372	50	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	17	ROK MLE	DSL LAD Bautista	—	68	54	7	1	0	0	7	15	7	2	1	130	309	148	457	19	187	22	10	244	51	—	—	—	—	—	—
2026	18	ROK MLE	DSL LAD Mega	—	106	88	14	2	0	1	14	22	4	4	1	159	302	216	518	57	192	21	13	242	50	—	—	—	—	—	—
2025	17	ROK MLE	DSL LAD Bautista	—	68	54	7	1	0	0	7	15	7	2	1	130	309	148	457	19	179	22	10	244	51	—	—	—	—	—	—
2025	17	ROK RAW	DSL LAD Bautista	—	68	51	12	2	0	1	10	12	7	2	1	235	426	333	760	98	289	18	15	366	51	—	—	—	—	—	—
2026	18	ROK MLE	DSL LAD Mega	—	106	88	14	2	0	1	14	22	4	4	1	159	302	216	518	57	200	21	13	242	50	—	—	—	—	—	—
2026	18	ROK RAW	DSL LAD Mega	—	106	82	21	3	0	2	20	18	4	4	1	256	425	366	790	110	306	17	19	372	50	—	—	—	—	—	—
2025	17	ROK MLE	DSL LAD Bautista	—	68	54	7	1	0	0	7	15	7	2	1	130	309	148	457	19	187	22	10	244	51	—	—	—	—	—	—
2026	18	ROK MLE	DSL LAD Mega	—	106	87	14	2	0	1	14	22	4	4	1	161	302	218	520	57	192	21	13	242	50	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2025	17	ROK MLE	DSL LAD Bautista	—	68	54	7	1	0	0	7	15	7	2	1	130	309	148	457	19	187	22	10	244	51	—	—	—	—	—	—
2026	18	ROK MLE	DSL LAD Mega	—	106	87	14	2	0	1	14	22	4	4	1	161	302	218	520	57	192	21	13	242	50	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	19	MLB MLE	LAD	0%	216	190	41	6	1	2	19	54	5	3	1	216	303	294	597	78	287	25	9	276	73	-7	+0	+0	+4	+5	0.1
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	20	MLB MLE	LAD	34%	112	98	21	3	1	1	10	28	3	2	1	220	308	308	615	87	289	25	9	283	78	-3	+0	+0	+2	+2	0.2
2029	21	MLB MLE	LAD	48%	208	183	40	6	1	3	18	51	5	4	1	224	311	319	630	96	290	25	9	289	82	-5	+0	+0	+4	+5	0.4
2030	22	MLB MLE	LAD	54%	319	281	64	10	2	5	28	77	7	6	2	227	313	330	643	103	291	24	9	294	85	-6	+0	+0	+6	+7	0.7
2031	23	MLB MLE	LAD	57%	401	354	81	13	2	7	35	96	9	7	2	229	315	339	654	109	292	24	9	298	88	-6	+1	+0	+7	+9	1.1
2032	24	MLB MLE	LAD	57%	445	393	91	15	3	8	39	106	10	8	2	232	317	346	663	115	293	24	9	301	90	-5	+1	+0	+8	+10	1.3
2033	25	MLB MLE	LAD	57%	445	393	92	15	3	9	39	106	10	8	2	232	317	349	666	117	293	24	9	302	91	-5	+1	+0	+8	+10	1.4
2034	26	MLB MLE	LAD	56%	445	394	91	15	2	9	39	106	9	8	2	232	317	351	668	118	293	24	9	303	91	-5	+1	+0	+8	+10	1.4
2035	27	MLB MLE	LAD	55%	445	394	91	15	2	9	39	107	9	7	3	231	316	348	664	117	292	24	9	302	90	-5	+0	+0	+8	+10	1.3
2036	28	MLB MLE	LAD	55%	445	394	90	14	2	9	39	108	9	7	3	229	314	343	657	114	291	24	9	299	88	-6	+0	-1	+8	+10	1.1
2037	29	MLB MLE	LAD	53%	445	394	89	14	2	8	39	109	9	7	3	227	311	337	648	110	290	24	9	295	86	-7	+0	-1	+8	+10	0.9
2038	30	MLB MLE	LAD	53%	445	394	88	14	2	8	39	111	9	7	3	224	308	328	636	105	288	25	9	290	83	-9	+0	-2	+8	+10	0.7
2039	31	MLB MLE	LAD	52%	426	378	83	13	2	7	37	107	8	6	5	219	303	318	621	99	285	25	9	284	79	-11	-1	-3	+8	+9	0.2
2040	32	MLB MLE	LAD	56%	407	361	78	12	2	6	35	105	8	5	8	214	297	306	603	92	281	26	9	277	73	-13	-2	-4	+7	+9	-0.3
2028	20	MLB CTX	LAD	34%	38	34	7	1	0	0	3	9	1	1	0	216	304	301	605	85	283	24	8	279	78	-1	+0	+0	+1	+1	0.1
2029	21	MLB CTX	LAD	48%	101	89	19	3	0	1	9	25	2	2	1	220	307	313	621	94	284	25	9	285	82	-2	+0	+0	+2	+2	0.2
2030	22	MLB CTX	LAD	54%	173	152	34	5	1	3	15	42	4	3	1	223	310	324	634	101	285	24	9	290	85	-3	+0	+0	+3	+4	0.4
2031	23	MLB CTX	LAD	57%	227	200	45	7	1	4	20	55	5	4	1	226	312	333	645	108	286	24	9	294	88	-3	+0	+0	+4	+5	0.6
2032	24	MLB CTX	LAD	57%	252	223	51	8	1	5	22	60	5	4	1	228	313	341	654	113	287	24	9	298	90	-3	+0	+0	+4	+5	0.7
2033	25	MLB CTX	LAD	57%	251	222	50	8	1	5	22	60	5	4	1	228	314	344	658	115	287	24	9	299	91	-3	+0	+0	+4	+5	0.8
2034	26	MLB CTX	LAD	56%	251	222	50	8	1	5	22	60	5	4	1	229	314	346	660	117	287	24	9	300	91	-3	+0	+0	+4	+5	0.8
2035	27	MLB CTX	LAD	55%	247	218	50	8	1	5	22	59	5	4	1	228	313	343	656	115	286	24	9	298	90	-3	+0	+0	+4	+5	0.7
2036	28	MLB CTX	LAD	55%	244	215	48	7	1	5	22	59	5	4	1	226	311	338	649	112	285	24	9	296	88	-3	+0	-0	+4	+5	0.6
2037	29	MLB CTX	LAD	53%	238	210	47	7	1	5	21	58	5	4	2	223	308	332	640	109	284	24	9	292	86	-4	+0	-1	+4	+5	0.5
2038	30	MLB CTX	LAD	53%	234	207	45	7	1	4	20	58	5	4	2	220	305	324	628	104	282	25	9	287	83	-5	+0	-1	+4	+5	0.3
2039	31	MLB CTX	LAD	52%	222	197	42	6	1	4	19	56	4	3	3	216	300	314	613	98	279	25	9	281	79	-6	-1	-1	+4	+5	0.1
2040	32	MLB CTX	LAD	56%	229	204	43	6	1	4	19	59	4	3	5	211	294	301	595	91	275	26	8	274	73	-7	-1	-2	+4	+5	-0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2707	2393	531	81	11	50	236	660	55	44	20	222	306	328	634	106	284	24	9	292	84	-46	+1	-6	+48	+59	5.7
/ 162G	—	A+C		—	650	575	127	19	3	12	57	158	13	11	5	221	306	327	633	106	282	24	9	292	84	-11	+0	-1	+12	+14	1.4
Career	—	MLE		—	5218	4603	1031	164	26	91	462	1268	117	89	39	224	311	330	641	106	288	24	9	293	84	-87	+2	-10	+90	+109	10.5
/ 162G	—	MLE		—	650	573	127	20	3	11	58	158	15	11	5	222	310	325	634	103	285	24	9	293	84	-11	+0	-1	+12	+14	1.4

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 DSLDSL LAD Mega · 106 PAwOBA .363 → .242 (−122)K% 17.0% → 20.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.98%	÷1.000	×1.220	—	—	20.72%
BB% (unintentional) /PA	18.87%	÷1.000	×0.700	—	×1.008	13.31%
HBP% /PA	3.77%	—	×0.700	—	×1.008	2.66%
Singles /BIP	25.00%	÷1.000	×0.680	×0.950	×1.008	16.27%
Doubles /BIP	4.69%	÷1.000	×0.600	×0.950	×1.008	2.69%
Triples /BIP	0.00%	÷1.000	×0.600	×0.950	×1.008	0.00%
Home runs /BIP	3.12%	÷1.000	×0.470	—	×1.008	1.48%

Factors used: level-wide DSL 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 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 ×0.950.

Result: wOBA .363 → .242; ISO .110 → .058; BABIP .306 → .192. 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 LAD Bautista · 68 PAwOBA .358 → .244 (−115)K% 17.6% → 21.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.65%	÷1.007	×1.220	—	—	21.38%
BB% (unintentional) /PA	14.71%	÷1.022	×0.700	—	×1.022	10.30%
HBP% /PA	10.29%	—	×0.700	—	×1.022	7.37%
Singles /BIP	23.08%	÷1.031	×0.680	—	×1.022	15.56%
Doubles /BIP	5.13%	÷1.093	×0.600	—	×1.022	2.88%
Triples /BIP	0.00%	÷1.150	×0.600	—	×1.022	0.00%
Home runs /BIP	2.56%	÷1.075	×0.470	—	×1.022	1.15%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 115, 1B 106, 2B 119, 3B 130, K 101, BB 104 — 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).

Result: wOBA .358 → .244; ISO .098 → .051; BABIP .289 → .187. 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
#1Tucker Barnhartlast yr '24 career totals — 11 seasons, 3,088 PA	4.7	3,088	53	8	241	318	351	+55	+57	16.5	16.1
/162	664	11	2	+11.9	+12.3	3.6	pk7: 16
#2Jacob 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
#3Mike Fitzgerald'83-'92 * career totals — 9 seasons, 2,667 PA	4.0	2,667	48	31	234*	320*	372*	+43	-1	9.5	9.3
/162	664	12	8	+10.8	-0.3	2.4	pk7: 9
#4Brian Schneider'00-'12 * career totals — 12 seasons, 3,570 PA	5.4	3,570	67	4	238*	309*	359*	+63	-0	9.0	8.8
/162	664	12	1	+11.7	-0.1	1.7	pk7: 9
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 8 projected seasons	4.2	2,764	49	44	228	309	336	+49	+32	7.9	6.9
/162	664	12	11	+11.9	+7.7	1.9	pk7: 6
#5Buck 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
#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

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
Ezequiel Aparicio (OGILVIE)	19	—	—	—	—	214/301/291	77	287	1	1	25%	9%	73	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Michael Arroyo 2024 · A	19	44→51	40→50	46→50	49	208/316/308	101	279	6	7	25%	9%	84	+0.1	228/322/372	144	297	15	11	27%	8%	99	+1.3	232/324/382	150	294	16	12	25%	8%	100	+1.3
✕Jesus Rodriguez 2021 · A	19	45→55	40→45	49→50	48	215/278/314	99	274	7	9	23%	8%	68	-1.0	227/295/327	100	280	6	12	20%	8%	78	-0.3	265/326/372	107	319	9	16	19%	7%	96	+0.8
✕Jett Williams 2023 · A	19	45→48	41→50	56→55	44	216/287/317	101	287	8	14	26%	7%	73	-0.6	213/317/337	124	303	10	23	29%	12%	90	+0.6	212/316/350	138	296	11	26	29%	12%	89	+0.4
✕Luis Torrens 2016 · A	20	43→49	39→50	49→40	45	207/279/288	81	285	6	6	28%	8%	63	-1.3	212/273/295	83	270	6	4	22%	7%	62	-1.4	233/290/382	149	292	18	0	26%	7%	89	+0.3
✕Jeferson Quero 2022 · A	19	48→47	43→50	47→45	49	230/305/343	113	283	9	10	21%	8%	86	+0.3	230/284/354	124	292	13	8	25%	6%	80	-0.2	230/288/365	135	277	16	6	23%	7%	82	+0.0
✕Jacob Amaya 2018 · A	19	44→47	39→45	48→45	46	211/280/295	84	285	6	8	27%	8%	65	-1.2	225/304/318	93	298	6	8	24%	10%	79	-0.2	218/291/330	112	279	11	6	25%	9%	75	-0.4
✕Jancel Villarroel 2024 · A	19	46	40→45	44→50	53	218/308/313	95	272	6	8	21%	10%	80	-0.1	214/289/309	95	287	8	11	26%	7%	72	-0.7	215/287/315	100	285	9	11	26%	6%	70	-0.5
✕Alirio Ferrebus 2024 · A	18	47	37→50	49→45	43	218/293/295	77	297	5	9	26%	6%	70	-0.8	229/288/340	111	275	11	6	20%	5%	78	-0.3	235/286/353	118	276	13	4	19%	4%	79	-0.1
✕Ezequiel Tovar 2021 · A	19	44→49	37→55	49→50	45	205/273/280	75	288	3	12	28%	8%	59	-1.7	244/281/380	136	295	14	15	22%	4%	84	+0.2	251/287/411	161	323	17	11	27%	4%	94	+0.8
✕Jonathan Galvez 2010 · A	19	43→51	42→50	50→55	51	209/299/315	106	278	8	12	26%	10%	77	-0.3	225/289/347	122	328	11	16	32%	7%	80	-0.1	244/294/364	120	343	10	23	30%	5%	83	+0.1
✕Andy Paz 2012 · A	19	47	36→40	44→45	52	220/303/284	64	270	3	8	18%	9%	72	-0.7	199/266/269	70	259	4	5	23%	8%	53	-2.1	215/270/283	69	275	5	4	23%	7%	55	-0.5
✕Brennen Davis 2019 · A	19	48→43	36→50	51→45	46	221/300/290	68	306	3	12	26%	8%	72	-0.7	233/303/375	142	314	15	8	29%	7%	93	+0.8	188/287/362	173	236	23	4	30%	8%	83	+0.0
✕Jefferson Rojas 2024 · A	19	45→48	41→50	52→50	43	221/283/322	101	279	9	15	24%	6%	72	-0.7	222/283/337	115	269	12	16	21%	7%	76	-0.4	225/287/358	133	263	15	18	21%	7%	81	-0.1
✕Miguel Palma 2021 · A	19	40	39→45	48→40	45	193/281/280	88	261	6	11	27%	7%	63	-1.3	215/293/337	122	281	13	5	27%	8%	80	-0.1	217/284/341	124	274	15	2	26%	7%	76	-0.2
✕George Lombard Jr. 2024 · A	19	51→48	39→45	48→55	49	232/311/316	85	335	6	12	30%	10%	81	-0.1	208/291/311	103	304	8	22	31%	9%	74	-0.6	208/297/325	117	296	10	23	30%	10%	77	-0.3
✕Aidan Miller 2024 · A	20	49→50	38→50	52→65	47	228/303/310	83	316	4	12	27%	8%	77	-0.3	227/310/359	132	312	11	28	28%	9%	91	+0.7	224/315/364	140	306	12	36	28%	10%	91	+0.5
✕Carlos Cauro 2024 · A	19	40	40	46→45	49	193/286/282	89	274	7	4	30%	10%	65	-1.2	204/280/311	107	300	11	5	33%	8%	70	-0.9	198/280/293	95	285	12	5	32%	8%	65	-0.4
✕Victor Bericoto 2021 · A	19	50→49	40→50	51→40	49	230/310/323	93	327	7	10	30%	10%	82	+0.0	224/286/341	117	319	13	5	31%	8%	78	-0.3	230/278/364	134	300	16	3	28%	6%	78	-0.2
✕Jamie Westbrook 2014 · A	19	45→54	39→50	50→45	43	215/270/310	95	283	4	6	24%	6%	63	-1.3	237/278/349	112	290	10	7	21%	5%	76	-0.4	246/298/391	146	280	17	3	19%	5%	92	+0.6
✕Tyler Rodriguez 2024 · A	18	41	38→40	49→55	55	196/307/275	79	247	6	14	22%	11%	73	-0.6	208/326/276	68	266	5	17	21%	11%	80	-0.1	203/334/262	59	262	5	20	21%	12%	79	-0.1

Ezequiel Aparicio

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps