Luis Aguilera

SS FCL Tigers

Age 20 L/R 5'11" / 145 lbs ROK HR -8% Svc 0.0 · Ctrl thru 2035

Overview

ROKPROSPECTFG #962MiLBFA 2036

ETA2029FG ETA2030MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2025	18	ROKDSL Tigers 2	95	.253/.333/.337	0	5	32	—	.174/.237/.221
2026	19	ROKDET	118	.276/.356/.324	0	4	45	—	.211/.271/.239
2027PROJ0% MLB	20	MLBDET	228	.224/.287/.303	2	4	68	0.0
2028PROJ34% MLB	21	MLBDET	64	.224/.288/.310	1	1	73	-0.0
2029PROJ48% MLB	22	MLBDET	153	.227/.292/.320	2	3	76	0.0

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

ContractESTIMATED

Control thru2035Service0.0First FA2036

2027MiLB2028MiLB2029MiLB2030Pre-Arb$0.8M2031Pre-Arb$0.9M2032Pre-Arb$0.9M2033Arb-1$2M2034Arb-2$4M+1

Skills · percentileMiLB Statcast 2026 Rk

K%91

Z-Con%83

Whiff%79

Speed66

wRC+34

wOBA25

Career WAR0 WAR median (P10 0 / P90 0, comp-based) · star 0% · didn't stick 97%

CompsEliezer Álvarez (age 20) · Matt Cerda (age 20) · Alberto Rodriguez (age 20)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 100 proj PA

wRC+†68

AVG/OBP/SLG.222 / .284 / .300

PA100

HR1

K%23

BB%7

ISO78

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control+$2M ctrl surplus

Tools · ContractCON 55 / POW 40

Toolsscout grade

CONTACT55

scouting grade only

POWER40

scouting grade only

EYE50

scouting grade only

SPEED55

scouting grade only

DEFENSE50

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
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	$0.8M	+0.2	$0.6M	+$0.0M
2031	Pre-Arb	$0.9M	+0.3	$0.9M	+$0.3M
2032	Pre-Arb	$0.9M	+0.4	$1M	+$0.6M
2033	Arb-1	$2M	+0.4	$1M	+$0.0M (cut)
2034	Arb-2	$4M	+0.4	$0.9M	+$0.0M (cut)
2035	Arb-3	$5M	+0.3	$0.7M	+$0.0M (cut)
Totals		$3M		$5M	+$0.9M

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 = actual YTD + projected ROS + total. 2028+ 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)
2024	17	ROK	DSL Tigers 2	—	108	89	26	0	1	1	18	15	1	5	3	292	417	348	765	56	342	14	17	358	57	—	—	—	—	—	—
2025	18	ROK	DSL Tigers 2	—	95	83	21	3	2	0	10	10	0	5	2	253	333	337	671	84	280	11	11	300	32	—	—	—	—	—	—
2026	19	ROK	FCL Tigers	—	118	105	29	1	2	0	11	14	2	4	1	276	356	324	680	48	319	12	9	315	45	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	17	ROK MLE	DSL Tigers 2	—	108	94	19	0	1	0	13	19	1	5	3	202	306	223	529	21	247	18	12	253	57	—	—	—	—	—	—
2025	18	ROK MLE	DSL Tigers 2	—	95	86	15	2	1	0	7	12	0	5	2	174	237	221	457	47	198	13	7	216	32	—	—	—	—	—	—
2026	19	ROK MLE	FCL Tigers	—	118	109	23	1	1	0	7	20	2	4	1	211	271	239	510	28	263	17	6	235	45	—	—	—	—	—	—
2024	17	ROK MLE	DSL Tigers 2	—	108	94	19	0	1	0	13	19	1	5	3	202	306	223	529	21	253	18	12	253	57	—	—	—	—	—	—
2024	17	ROK RAW	DSL Tigers 2	—	108	89	26	0	1	1	18	15	1	5	3	292	417	348	765	56	342	14	17	358	57	—	—	—	—	—	—
2025	18	ROK MLE	DSL Tigers 2	—	95	86	15	2	1	0	7	12	0	5	2	174	237	221	457	47	197	13	7	216	32	—	—	—	—	—	—
2025	18	ROK RAW	DSL Tigers 2	—	95	83	21	3	2	0	10	10	0	5	2	253	333	337	671	84	280	11	11	300	32	—	—	—	—	—	—
2026	19	ROK MLE	FCL Tigers	—	118	109	23	1	1	0	7	20	2	4	1	211	271	239	510	28	258	17	6	235	45	—	—	—	—	—	—
2026	19	ROK RAW	FCL Tigers	—	118	105	29	1	2	0	11	14	2	4	1	276	356	324	680	48	319	12	9	315	45	—	—	—	—	—	—
2024	17	ROK MLE	DSL Tigers 2	—	108	93	19	0	1	0	13	19	1	5	3	204	306	226	531	22	247	18	12	253	57	—	—	—	—	—	—
2025	18	ROK MLE	DSL Tigers 2	—	95	88	15	2	1	0	7	12	0	5	2	170	237	216	452	45	198	13	7	216	32	—	—	—	—	—	—
2026	19	ROK MLE	FCL Tigers	—	118	108	23	1	1	0	7	20	2	4	1	213	271	241	512	28	263	17	6	235	45	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	17	ROK MLE	DSL Tigers 2	—	108	93	19	0	1	0	13	19	1	5	3	204	306	226	531	22	247	18	12	253	57	—	—	—	—	—	—
2025	18	ROK MLE	DSL Tigers 2	—	95	88	15	2	1	0	7	12	0	5	2	170	237	216	452	45	198	13	7	216	32	—	—	—	—	—	—
2026	19	ROK MLE	FCL Tigers	—	118	108	23	1	1	0	7	20	2	4	1	213	271	241	512	28	263	17	6	235	45	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	20	MLB MLE	DET	0%	228	208	47	6	2	2	16	53	2	4	1	224	287	303	589	78	290	23	7	268	68	-9	+0	-1	+2	+5	0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	21	MLB MLE	DET	34%	186	169	39	5	2	2	13	43	2	4	1	228	292	316	607	88	291	23	7	275	73	-6	+0	-1	+2	+4	-0.1
2029	22	MLB MLE	DET	48%	315	286	66	9	3	4	23	73	3	7	2	231	295	327	622	96	292	23	7	281	76	-9	+1	-1	+3	+7	0.1
2030	23	MLB MLE	DET	54%	403	366	86	12	4	6	30	92	4	9	2	233	298	335	633	102	293	23	7	286	80	-10	+1	-1	+4	+9	0.3
2031	24	MLB MLE	DET	55%	462	420	99	14	4	8	35	105	4	10	3	235	300	342	643	107	293	23	8	290	82	-10	+1	-1	+5	+10	0.5
2032	25	MLB MLE	DET	56%	497	451	106	15	4	9	38	113	5	11	3	236	302	347	649	111	293	23	8	292	84	-10	+1	+0	+5	+11	0.8
2033	26	MLB MLE	DET	56%	516	467	110	16	4	9	39	117	5	11	3	236	302	348	650	112	293	23	8	292	84	-10	+1	+0	+6	+11	0.8
2034	27	MLB MLE	DET	55%	524	474	112	16	5	9	40	120	5	11	3	235	301	345	646	110	293	23	8	291	83	-11	+1	+0	+6	+11	0.8
2035	28	MLB MLE	DET	55%	524	474	111	16	4	9	40	121	5	10	3	233	299	341	640	107	292	23	8	288	81	-12	+1	-1	+6	+11	0.6
2036	29	MLB MLE	DET	53%	518	470	108	15	4	8	39	121	4	9	3	231	296	335	632	104	291	23	8	285	79	-13	+1	-1	+6	+11	0.3
2037	30	MLB MLE	DET	57%	509	462	106	15	4	8	38	121	4	9	3	229	293	328	621	99	290	24	7	281	76	-14	+1	-2	+5	+11	0.1
2028	21	MLB CTX	DET	34%	64	58	14	2	1	1	5	15	1	1	0	224	288	310	598	85	286	23	8	272	73	-2	+0	-0	+1	+1	-0.0
2029	22	MLB CTX	DET	48%	153	140	31	4	1	2	11	35	1	3	1	227	292	320	612	93	287	23	7	277	76	-4	+0	-1	+2	+3	0.0
2030	23	MLB CTX	DET	54%	219	199	45	6	2	3	16	50	2	5	1	230	295	329	623	99	288	23	7	282	80	-5	+1	-1	+2	+5	0.2
2031	24	MLB CTX	DET	55%	256	233	53	7	2	4	19	58	2	6	1	231	297	335	632	104	289	23	7	285	82	-5	+1	-0	+3	+6	0.3
2032	25	MLB CTX	DET	56%	278	252	58	8	2	5	21	63	3	6	2	232	298	340	638	108	289	23	8	288	84	-5	+0	+0	+3	+6	0.4
2033	26	MLB CTX	DET	56%	290	263	61	9	2	5	22	66	3	6	2	232	298	340	639	108	289	23	8	288	84	-6	+0	+0	+3	+6	0.4
2034	27	MLB CTX	DET	55%	290	263	61	9	2	5	22	66	3	6	2	231	297	338	635	107	288	23	8	287	83	-6	+0	+0	+3	+6	0.4
2035	28	MLB CTX	DET	55%	287	260	59	8	2	5	22	66	3	6	2	230	296	334	629	104	288	23	8	284	81	-6	+0	-0	+3	+6	0.3
2036	29	MLB CTX	DET	53%	277	252	57	8	2	4	21	65	2	5	2	228	293	328	621	101	287	23	8	281	79	-7	+0	-1	+3	+6	0.2
2037	30	MLB CTX	DET	57%	290	264	59	8	2	4	22	69	2	5	2	225	290	321	611	96	285	24	8	277	76	-8	+0	-1	+3	+6	0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2404	2184	498	69	18	38	181	553	22	49	15	228	294	328	622	100	287	23	8	283	78	-55	+4	-4	+26	+52	2.2
/ 162G	—	A+C		—	650	591	135	19	5	10	49	150	6	13	4	228	294	328	622	100	289	23	8	283	78	-15	+1	-1	+7	+14	0.6
Career	—	MLE		—	4875	4420	1021	139	42	73	369	1100	45	107	32	231	297	331	628	100	290	23	8	283	78	-107	+8	-9	+49	+99	4.0
/ 162G	—	MLE		—	650	589	137	19	6	10	49	147	6	14	4	233	298	336	634	104	292	23	8	283	78	-15	+1	-1	+7	+14	0.6

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Angel Berroalast yr '09 career totals — 8 seasons, 2,794 PA	4.2	2,794	46	50	259	303	375	+27	-6	6.7	7.1
/162	664	11	12	+6.5	-1.4	1.6	pk7: 7
#2Ronny 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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 6 projected seasons	3.8	2,504	40	50	234	296	339	+27	+0	4.1	3.9
/162	664	11	13	+7.1	+0.0	1.1	pk7: 4
#3Tom Downey'09-'15 * career totals — 6 seasons, 2,468 PA	3.7	2,468	7	87	234*	299*	359*	+17	-2	3.8	3.8
/162	664	2	23	+4.6	-0.5	1.0	pk7: 4
#4Arnold Hauser'10-'15 * career totals — 5 seasons, 1,675 PA	2.5	1,675	6	68	228*	291*	342*	+18	+2	2.6	2.6
/162	664	2	27	+7.0	+0.6	1.0	pk7: 3
#5Carlos Sanchez'14-'22 * career totals — 6 seasons, 2,503 PA	3.8	2,503	32	30	248*	305*	353*	+8	+0	2.1	2.6
/162	664	8	8	+2.0	+0.0	0.6	pk7: 3
#6Frank Duffy'70-'79 * career totals — 7 seasons, 2,924 PA	4.4	2,924	26	49	234*	283*	348*	+30	-2	0.9	2.1
/162	664	6	11	+6.7	-0.5	0.2	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
Luis Aguilera (OGILVIE)	20	25→55	30→40	55	50	222/284/300	78	290	1	2	23%	7%	68	-0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Eliezer Álvarez 2015 · A	20	42→52	40→45	53→55	45	203/259/306	103	252	5	11	21%	6%	59	-1.7	244/293/351	107	321	5	15	24%	6%	82	-0.0	254/307/364	110	341	6	19	26%	6%	88	+0.3
✕Matt Cerda 2010 · A	20	43→53	38→40	50→40	46	207/264/285	78	263	6	6	23%	7%	56	-1.9	239/314/318	79	300	3	4	19%	10%	82	+0.0	241/325/315	74	303	3	4	19%	11%	84	+0.1
✕Alberto Rodriguez 2021 · A	20	42→52	38→50	52→50	44	203/259/282	79	268	5	14	25%	7%	53	-2.1	228/290/353	125	327	10	8	31%	7%	82	-0.0	228/292/360	132	326	11	7	31%	7%	81	-0.1
✕Jean Carlos Sio 2024 · A	20	41→51	36→45	51→50	51	192/268/258	66	238	4	13	20%	9%	52	-2.2	221/300/315	94	287	8	11	24%	8%	78	-0.3	224/303/331	107	289	11	12	25%	8%	79	-0.2
✕Hoy Park 2016 · A	20	40→50	41→45	47→55	46	197/270/297	100	265	8	11	28%	8%	62	-1.4	207/284/295	88	286	5	16	27%	9%	67	-1.1	234/324/332	98	306	8	17	24%	11%	88	+0.3
✕Darrien Miller 2021 · A	20	42	36→45	47→45	43	198/274/269	70	273	3	8	27%	6%	57	-1.8	204/306/321	117	276	13	6	29%	9%	82	+0.0	179/320/285	107	245	9	4	27%	12%	79	-0.1
✕Jose Escobar 2024 · A	19	46→56	39→40	55→45	42	220/276/306	85	277	6	14	22%	5%	65	-1.2	227/297/326	99	296	8	9	24%	7%	78	-0.3	236/304/334	98	303	8	8	23%	7%	80	-0.1
✕Gilberto Celestino 2019 · A	20	43→53	38→45	52→55	42	209/257/289	80	280	6	12	27%	6%	54	-2.0	226/281/328	102	291	8	8	24%	7%	72	-0.7	239/317/316	76	309	5	10	22%	9%	81	-0.0
✕Ji Hwan Bae 2019 · A	20	46→55	36→45	50→60	46	216/276/285	69	264	2	13	18%	6%	61	-1.5	235/296/323	88	327	3	20	27%	7%	76	-0.4	253/316/355	102	332	7	33	24%	8%	90	+0.4
✕Luis Barrera 2016 · A	20	40→50	36→45	50	43	190/245/252	62	259	3	6	27%	6%	41	-3.0	220/260/308	88	302	5	11	27%	5%	59	-1.7	248/293/357	110	319	5	17	23%	6%	80	-0.1
✕Marco Hernández 2013 · A	20	43→53	38→45	48→50	41	208/245/290	82	263	5	10	23%	4%	49	-2.4	227/255/309	82	299	5	12	25%	3%	57	-1.8	274/300/384	110	350	8	6	24%	3%	89	+0.3
✕Thomas Milone 2015 · A	20	41→46	36→45	51→55	38	195/248/268	73	295	3	10	33%	6%	46	-2.6	200/255/265	65	287	3	13	29%	6%	48	-2.5	237/293/355	117	331	8	17	29%	6%	79	-0.1
✕Juan Villavicencio 2024 · A	19	36→44	38→50	51→55	47	174/251/254	80	234	5	13	26%	8%	45	-2.7	189/262/280	91	279	7	14	32%	8%	55	-1.9	193/266/307	113	285	10	20	34%	8%	61	-0.6
✕Raynel Delgado 2021 · A	21	47→56	37→40	50→60	42	220/272/295	75	312	4	9	30%	7%	61	-1.5	203/267/292	89	295	7	14	31%	7%	59	-1.6	246/311/338	92	338	7	32	27%	8%	82	+0.0
✕Luis Valenzuela 2014 · A	20	40	37→45	53→45	47	191/248/264	73	236	4	9	20%	7%	45	-2.7	228/257/313	85	294	5	8	23%	4%	59	-1.7	263/285/365	102	319	5	7	19%	2%	78	-0.1
✕José Tena 2021 · A	20	45→55	36→45	50→55	38	213/250/285	72	290	3	9	27%	4%	50	-2.3	233/274/354	121	341	11	9	33%	5%	76	-0.4	252/310/371	119	358	10	21	31%	7%	90	+0.5
●Jorbit Vivas 2021 · A	20	46→56	37→45	49→50	47	215/289/297	81	268	3	11	20%	7%	69	-0.9	253/327/377	124	285	11	7	15%	7%	101	+1.4	252/334/373	121	281	11	9	14%	8%	101	+1.3
✕Rosell Herrera 2013 · A	20	40→50	37→45	48→55	42	193/245/268	75	263	5	9	28%	6%	45	-2.7	238/286/328	90	316	8	10	26%	6%	74	-0.6	253/308/344	91	321	4	24	21%	7%	84	+0.1
✕Yoyner Fajardo 2019 · A	20	46→56	37→40	57→60	51	211/279/293	82	248	2	14	16%	8%	63	-1.3	227/286/295	68	281	2	19	19%	6%	67	-1.1	260/318/350	90	329	5	34	21%	7%	87	+0.2
✕Tzu-Wei Lin 2014 · A	20	45→51	36→45	48→50	43	209/269/278	70	308	3	8	31%	7%	56	-1.9	216/267/279	63	273	2	11	20%	7%	55	-1.9	241/294/348	107	314	8	10	24%	7%	78	-0.1

Luis Aguilera

Career Stats + Projections

Career Comps

Career Path Comps