Liordanys Menendez

Liordanys MenendezSS ACL Angels

Age 18 R/R 6'0" / 175 lbs ROK K +5%HR +4% Svc 0.0 · Ctrl thru 2037

2026 ROS PROJECTION57 act + 11 ros · stats below = ROS only

showingROS

wRC+†63

AVG/OBP/SLG.200 / .273 / .200

PA11

HR0

K%27

BB%9

BABIP279

ISO78

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$22M ctrl surplus

Tools · ContractCON 45 / POW 20

Toolsscout grade

CONTACT45

scouting grade only

POWER20

scouting grade only

EYE50

scouting grade only

SPEED55

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	+0.6	$2M	+$1M
2033	Pre-Arb	$1.0M	+0.7	$2M	+$1M
2034	Pre-Arb	$1.0M	+0.7	$2M	+$1M
2035	Arb-1	$3M	+0.7	$1M	+$0.1M
2036	Arb-2	$5M	+0.6	$1M	+$0.0M (cut)
2037	Arb-3	$6M	+0.5	$0.9M	+$0.0M (cut)
Totals		$6M		$8M	+$3M

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.

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 Angels	—	153	126	32	6	3	0	21	19	5	11	1	254	382	349	731	95	299	12	14	338	115	+3	+2	—	—	+3	0.8
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	17	ROK MLE	DSL Angels	—	153	134	26	5	2	0	13	27	5	11	1	194	289	261	551	67	239	18	8	247	53	-8	+2	—	—	+3	-0.3
2025	17	ROK MLE	DSL Angels	—	153	134	26	5	2	0	13	27	5	11	1	194	289	261	551	67	243	18	8	247	53	—	—	—	—	—	—
2025	17	ROK RAW	DSL Angels	—	153	126	32	6	3	0	21	19	5	11	1	254	382	349	731	95	299	12	14	338	53	—	—	—	—	—	—
2025	17	ROK MLE	DSL Angels	—	153	134	26	5	2	0	13	27	5	11	1	194	289	261	551	67	239	18	8	247	53	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2025	17	ROK MLE	DSL Angels	—	153	134	26	5	2	0	13	27	5	11	1	194	289	261	551	67	239	18	8	247	53	—	—	—	—	—	—
YTD	18	ROK MLE	LAA	—	57	50	10	2	0	0	5	14	0	1	2	200	273	240	513	40	263	25	9	232	43	-4	-1	+0	+1	+1	-0.3
▸ 2026 season
YTD	18	ROK RAW	LAA	—	57	47	12	3	0	0	8	10	0	1	2	255	364	319	683	64	308	18	14	308	43	—	—	—	—	—	—
ROS	18	ROK MLE	LAA	0%	11	10	2	0	0	0	1	3	0	0	0	200	273	200	473		280	27	9	261	63	-0	+0	+0	+0	+0	-0.0
TOT	18	ROK MLE	LAA	—	68	60	12	2	0	0	6	17	0	1	2	200	273	233	506	33	267	25	9	237	46	-4	-1	+0	+1	+1	-0.3
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	19	MLB MLE	LAA	34%	216	194	43	8	2	2	17	51	3	4	1	222	294	314	609	93	283	24	8	273	71	-8	+0	+0	+2	+5	-0.0
2028	20	MLB MLE	LAA	48%	350	314	70	13	3	4	28	82	5	7	2	223	297	322	618	99	285	23	8	281	76	-10	+1	+0	+4	+8	0.2
2029	21	MLB MLE	LAA	54%	450	404	91	17	3	6	37	104	6	10	3	225	300	327	627	101	287	23	8	287	80	-11	+1	+0	+5	+10	0.5
2030	22	MLB MLE	LAA	57%	522	467	107	20	4	8	43	120	7	11	3	229	304	340	644	111	288	23	8	291	83	-11	+1	+0	+6	+11	0.7
2031	23	MLB MLE	LAA	58%	570	510	118	22	4	9	47	130	8	12	4	231	306	343	649	112	288	23	8	293	84	-11	+1	+0	+6	+12	0.9
2032	24	MLB MLE	LAA	57%	602	538	124	23	4	10	50	137	9	13	4	230	307	344	650	113	289	23	8	295	86	-10	+1	+0	+6	+13	1.0
2033	25	MLB MLE	LAA	57%	620	555	130	24	5	11	51	141	9	14	4	234	309	355	664	121	289	23	8	296	86	-10	+1	+0	+7	+13	1.1
2034	26	MLB MLE	LAA	60%	629	563	131	24	5	11	52	143	9	14	4	233	308	352	659	119	289	23	8	296	87	-10	+1	+0	+7	+14	1.2
2035	27	MLB MLE	LAA	62%	629	562	131	24	5	11	53	143	9	14	4	233	309	352	662	119	289	23	8	296	87	-10	+1	+0	+7	+14	1.2
2036	28	MLB MLE	LAA	63%	625	558	128	23	4	11	53	143	9	13	4	229	306	344	651	115	289	23	8	296	86	-10	+1	-1	+7	+14	1.0
2037	29	MLB MLE	LAA	65%	616	549	126	23	4	10	53	143	9	13	4	230	308	341	648	111	288	23	9	294	85	-11	+1	-1	+7	+13	0.9
2038	30	MLB MLE	LAA	65%	605	539	123	22	4	10	52	141	9	12	4	228	307	340	646	111	287	23	9	291	83	-12	+1	-2	+6	+13	0.6
2039	31	MLB MLE	LAA	65%	591	528	118	21	4	9	50	140	8	11	3	223	300	330	630	106	285	24	8	287	81	-14	+1	-3	+6	+13	0.4
2040	32	MLB MLE	LAA	65%	573	511	113	20	4	8	49	138	8	11	3	221	299	323	622	102	282	24	9	282	77	-16	+1	-4	+6	+12	0.0
2041	33	MLB MLE	LAA	65%	543	485	105	18	4	7	46	134	7	10	3	216	294	313	607	97	279	25	8	276	73	-18	+1	-4	+6	+12	-0.4
2027	19	MLB CTX	LAA	34%	74	67	16	3	1	1	6	18	1	1	0	239	311	358	669	119	282	24	8	263	71	-3	+0	+0	+1	+2	0.0
2028	20	MLB CTX	LAA	48%	170	152	33	6	1	2	14	40	2	4	1	217	292	309	601	92	284	24	8	271	76	-5	+0	+0	+2	+4	0.1
2029	21	MLB CTX	LAA	54%	244	219	50	9	2	4	20	56	3	5	2	228	302	342	644	114	286	23	8	277	80	-6	+0	+0	+3	+5	0.2
2030	22	MLB CTX	LAA	57%	295	265	61	11	2	5	24	68	4	6	2	230	304	343	647	113	287	23	8	280	83	-6	+0	+0	+3	+6	0.4
2031	23	MLB CTX	LAA	58%	328	293	67	12	2	5	27	75	5	7	2	229	305	334	639	106	288	23	8	282	84	-6	+1	+0	+4	+7	0.5
2032	24	MLB CTX	LAA	57%	343	307	72	13	3	6	28	78	5	7	2	235	309	355	664	121	289	23	8	284	86	-6	+1	+0	+4	+7	0.6
2033	25	MLB CTX	LAA	57%	352	315	73	13	3	6	29	80	5	8	2	232	307	349	656	117	289	23	8	285	86	-6	+1	+0	+4	+8	0.7
2034	26	MLB CTX	LAA	60%	380	341	79	14	3	7	31	86	5	8	3	232	305	352	657	120	288	23	8	286	87	-6	+0	+0	+4	+8	0.7
2035	27	MLB CTX	LAA	62%	391	349	82	15	3	7	33	89	6	9	3	235	312	355	667	120	288	23	8	286	87	-6	+1	+0	+4	+8	0.7
2036	28	MLB CTX	LAA	63%	395	352	82	15	3	7	34	91	6	8	3	233	311	352	663	119	288	23	9	285	86	-7	+0	-0	+4	+9	0.6
2037	29	MLB CTX	LAA	65%	400	357	83	15	3	7	34	93	6	8	3	232	310	350	660	118	287	23	8	283	85	-7	+0	-1	+4	+9	0.5
2038	30	MLB CTX	LAA	65%	393	350	79	14	3	6	34	92	6	8	2	226	305	334	639	109	287	23	9	281	83	-8	+1	-1	+4	+9	0.4
2039	31	MLB CTX	LAA	65%	384	343	78	14	3	6	33	91	5	7	2	227	304	338	643	111	285	24	9	277	81	-9	+1	-2	+4	+8	0.2
2040	32	MLB CTX	LAA	65%	372	332	72	13	2	5	32	90	5	7	2	217	295	313	609	96	282	24	9	272	77	-10	+1	-2	+4	+8	0.0
2041	33	MLB CTX	LAA	65%	353	315	68	12	2	5	30	87	5	6	2	216	294	314	609	98	278	25	8	266	73	-11	+0	-3	+4	+8	-0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	4874	4357	995	179	36	79	409	1134	69	99	31	228	305	340	645	112	289	23	8	280	82	-101	+7	-10	+52	+106	5.6
/ 162G	—	A+C		—	650	581	133	24	5	11	55	151	9	13	4	229	305	344	650	115	289	23	8	280	82	-13	+1	-1	+7	+14	0.7
Career	—	MLE		—	8305	7421	1686	307	61	127	695	1920	120	180	51	227	304	336	640	109	288	23	8	289	82	-170	+14	-15	+87	+177	9.5
/ 162G	—	MLE		—	650	581	132	24	5	10	54	150	9	14	4	227	302	337	640	110	288	23	8	289	82	-14	+1	-1	+7	+14	0.8

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
#2Danny Espinosalast yr '17 career totals — 8 seasons, 3,267 PA	4.9	3,267	98	64	221	297	378	+16	+36	11.0	11.4
/162	664	20	13	+3.2	+7.3	2.2	pk7: 12
#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
#5Gordon Beckhamlast yr '19 career totals — 10 seasons, 3,764 PA	5.7	3,764	80	34	237	301	368	+13	+19	8.2	8.4
/162	664	14	6	+2.4	+3.4	1.4	pk7: 9
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 10 projected seasons	7.5	5,003	77	103	228	301	338	+54	+30	9.1	7.7
/162	664	10	14	+7.1	+4.0	1.2	pk7: 6
#6Ronny 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

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
Liordanys Menendez (OGILVIE)	18	45	20	55	50	211/280/284	73	280	1	2	24%	8%	63	-0.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Dubal Baez 2011 · A	18	46	36→30	50→60	46	214/289/282	68	300	4	7	28%	8%	65	-1.2	214/302/264	50	297	2	18	26%	8%	68	-1.0	217/309/247	30	304	0	28	25%	8%	63	-0.4
✕Rafael Herrera 2019 · A	18	43	35→40	52→50	45	200/267/266	67	269	2	12	25%	7%	53	-2.1	218/286/298	80	291	4	12	24%	8%	68	-1.0	229/304/310	81	297	4	17	22%	9%	74	-0.2
✕Rafael P Valera 2013 · A	18	43	35→30	48→55	46	201/273/256	55	281	2	11	27%	8%	53	-2.1	207/290/260	53	271	1	14	22%	9%	61	-1.5	216/289/281	65	299	0	7	25%	8%	62	-0.4
✕Luis Barahona 2012 · A	18	46	36→30	53→50	48	216/284/286	70	285	3	14	24%	8%	64	-1.3	206/260/268	62	282	2	13	26%	6%	50	-2.3	200/252/254	54	273	0	16	25%	6%	41	-1.1
✕Samuel Gil 2023 · A	18	43→44	38→30	52→50	45	203/269/290	87	274	5	9	26%	7%	59	-1.6	208/284/274	66	286	3	8	26%	9%	61	-1.5	200/288/251	51	271	2	9	24%	10%	56	-1.0
✕Luis De La Cruz 2007 · A	18	46	35→30	49→30	42	216/270/279	63	299	3	10	27%	6%	57	-1.8	201/241/267	66	262	3	7	23%	5%	42	-2.9	245/267/324	79	295	3	3	18%	3%	62	-0.4
✕Victor Rodrigues 2023 · A	18	41	38→30	49→50	43	196/259/277	81	254	5	7	24%	6%	53	-2.1	212/289/284	72	268	5	9	21%	9%	66	-1.1	221/317/274	53	274	5	10	19%	11%	72	-0.3
✕Francisco Aponte 2009 · A	18	43	36→30	49→60	46	205/268/268	64	265	4	9	23%	7%	54	-2.0	230/305/289	59	291	2	17	20%	8%	73	-0.6	224/288/270	46	274	0	22	17%	8%	61	-0.6
✕Mikey Edie 2016 · A	19	48	35→30	49→50	42	224/295/281	56	296	3	13	24%	5%	68	-1.0	212/267/270	58	314	2	15	31%	4%	54	-2.0	183/233/236	53	275	2	10	32%	3%	30	-1.5
✕Marco Soto 2022 · A	18	41	36→30	52→50	42	194/263/258	64	277	3	10	29%	6%	51	-2.3	201/256/257	56	270	2	8	25%	5%	47	-2.5	183/237/221	38	251	1	8	26%	5%	30	-0.9
✕Luis Reynoso 2013 · A	18	46	36→30	47→50	47	218/281/289	71	285	3	9	24%	8%	63	-1.3	197/254/259	62	297	4	7	32%	7%	47	-2.6	177/232/219	42	282	3	5	36%	6%	27	-1.1
✕Jerry Puentes 2009 · A	18	48	34→30	49→50	46	222/273/276	54	274	2	9	19%	6%	57	-1.8	224/277/275	51	292	1	10	22%	6%	58	-1.7	219/272/260	41	292	0	10	23%	6%	50	-0.7
✕Sterling Guzman 2016 · A	18	47	37→40	52→45	47	220/283/299	79	285	4	8	23%	7%	66	-1.1	208/271/299	91	293	7	7	29%	7%	62	-1.4	155/215/251	96	213	12	2	33%	6%	28	-0.9
✕Manuel Falcon 2008 · A	18	43	35→30	49→50	41	200/260/254	54	286	2	8	29%	6%	48	-2.5	227/283/274	47	287	1	10	20%	6%	61	-1.5	240/298/272	32	295	0	11	17%	6%	65	-0.5
✕Luis Arcendo 2018 · A	18	44	36→30	54→50	46	209/274/278	69	274	3	13	24%	7%	58	-1.7	196/257/259	63	280	3	13	29%	7%	47	-2.5	115/183/136	21	170	0	19	30%	8%	-8	-1.2
✕Edwin Fuentes 2013 · A	18	46	34→30	48→50	51	212/291/268	55	278	2	11	23%	9%	63	-1.4	182/238/236	54	237	2	8	22%	6%	35	-3.4	147/195/183	37	186	1	7	21%	4%	6	-1.7
✕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
✕Luis Terrero 2014 · A	18	45	35→30	52→50	47	207/272/269	62	250	1	9	17%	6%	56	-1.9	229/287/297	68	272	2	14	15%	6%	68	-1.0	242/299/307	65	282	1	19	13%	5%	74	-0.3
✕Deiber Olivera 2012 · A	19	44	38→40	50→45	44	210/259/296	86	269	4	8	23%	6%	56	-1.9	236/277/312	76	275	3	7	15%	4%	67	-1.1	255/291/322	67	289	2	7	12%	3%	73	-0.2
✕Jose Monserrate 2023 · A	18	47	38→40	50	45	221/288/307	86	288	5	13	24%	7%	71	-0.8	215/291/282	67	299	3	21	26%	8%	66	-1.1	187/271/231	44	298	1	34	34%	9%	45	-0.6

Career Stats + Projections

Career Comps

Career Path Comps