Anyelo Marquez — OGILVIE

Anyelo Marquez2B Rancho Cucamonga Quakes

Age 20 L/R 6'0" / 166 lbs A K +5%HR +4% Svc 0.0 · Ctrl thru 2036

2026 ROS PROJECTION458 act + 10 ros · stats below = ROS only

showingROS

wRC+†57

AVG/OBP/SLG.111 / .200 / .111

PA10

HR0

K%30

BB%10

BABIP270

ISO104

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit-$11M ctrl surplus

Tools · ContractCON 30 / POW 30

Toolsscout grade

CONTACT30

scouting grade only

POWER30

scouting grade only

EYE35

scouting grade only

SPEED45

scouting grade only

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

Status MiLB

MLB Debut 2031

Service 0 yrs (est)

Team Control Through 2036

First FA Year 2037

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2031
2027	MiLB	still in minors · estimated debut 2031
2028	MiLB	still in minors · estimated debut 2031
2029	MiLB	still in minors · estimated debut 2031
2030	MiLB	still in minors · estimated debut 2031
2031	Pre-Arb	$0.9M	—	—	—
2032	Pre-Arb	$0.9M	—	—	—
2033	Pre-Arb	$1.0M	—	—	—
2034	Arb-1	$0.6M	—	—	—
2035	Arb-2	$0.4M	—	—	—
2036	Arb-3	$7M	—	—	—
Totals		$0.0M		$-0.8M	+$0.0M

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)
2023	17	ROK	DSL Angels	—	173	147	34	8	3	0	22	29	0	8	7	231	331	327	658	95	279	17	13	296	87	-3	-1	—	—	+4	-0.0
2024	18	ROK	DSL Angels	—	229	177	52	6	3	2	39	31	3	20	11	294	429	395	825	102	336	14	17	363	132	+9	-0	—	—	+5	1.4
2025	19	ROK	ACL Angels	—	191	165	38	6	2	4	18	53	3	4	0	230	317	364	681	133	304	28	9	301	90	-2	+1	—	—	+4	0.3
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2023	17	ROK MLE	DSL Angels	—	173	156	26	6	2	0	13	42	0	8	7	167	231	231	462	64	213	24	8	210	28	-15	-1	—	—	+4	-1.2
2024	18	ROK MLE	DSL Angels	—	229	193	45	4	3	2	23	43	3	20	11	233	324	316	640	83	259	19	10	274	72	-8	-0	—	—	+5	-0.3
2025	19	ROK MLE	ACL Angels	—	191	173	26	4	1	3	10	79	3	4	0	150	210	237	447	87	233	41	5	202	23	-18	+1	—	—	+4	-1.3
2023	17	ROK MLE	DSL Angels	—	173	156	26	6	2	0	13	42	0	8	7	167	231	231	462	64	220	24	8	210	28	—	—	—	—	—	—
2023	17	ROK RAW	DSL Angels	—	173	147	34	8	3	0	22	29	0	8	7	231	331	327	658	95	279	17	13	296	28	—	—	—	—	—	—
2024	18	ROK MLE	DSL Angels	—	229	193	45	4	3	2	23	43	3	20	11	233	324	316	640	83	281	19	10	274	72	—	—	—	—	—	—
2024	18	ROK RAW	DSL Angels	—	229	177	52	6	3	2	39	31	3	20	11	294	429	395	825	102	336	14	17	363	72	—	—	—	—	—	—
2025	19	ROK MLE	ACL Angels	—	191	173	26	4	1	3	10	79	3	4	0	150	210	237	447	87	242	41	5	202	23	—	—	—	—	—	—
2025	19	ROK RAW	ACL Angels	—	191	165	38	6	2	4	18	53	3	4	0	230	317	364	681	133	304	28	9	301	23	—	—	—	—	—	—
2023	17	ROK MLE	DSL Angels	—	173	158	26	6	2	0	13	42	0	8	7	165	231	228	459	63	213	24	8	210	28	—	—	—	—	—	—
2024	18	ROK MLE	DSL Angels	—	229	201	45	4	3	2	23	43	3	20	11	224	324	303	628	80	259	19	10	274	72	—	—	—	—	—	—
2025	19	ROK MLE	ACL Angels	—	191	176	26	4	1	3	10	79	3	4	0	148	210	233	443	85	233	41	5	202	23	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	17	ROK MLE	DSL Angels	—	173	158	26	6	2	0	13	42	0	8	7	165	231	228	459	63	213	24	8	210	28	—	—	—	—	—	—
2024	18	ROK MLE	DSL Angels	—	229	201	45	4	3	2	23	43	3	20	11	224	324	303	628	80	259	19	10	274	72	—	—	—	—	—	—
2025	19	ROK MLE	ACL Angels	—	191	176	26	4	1	3	10	79	3	4	0	148	210	233	443	85	233	41	5	202	23	—	—	—	—	—	—
YTD	20	A MLE	LAA	—	458	416	78	14	1	13	31	171	6	10	9	188	254	320	574	132	277	37	7	247	53	-25	-2	+0	+2	+10	-1.6
▸ 2026 season
YTD	20	A RAW	LAA	—	458	404	96	19	1	15	43	128	6	10	9	238	320	401	721	163	307	28	9	321	53	—	—	—	—	—	—
ROS	20	A MLE	LAA	0%	10	9	1	0	0	0	1	3	0	0	0	111	200	111	311		270	30	10	252	57	-1	+0	+0	+0	+0	-0.0
TOT	20	A MLE	LAA	—	468	425	79	14	1	13	32	174	6	10	9	186	253	315	568	129	274	37	7	247	53	-26	-2	+0	+2	+10	-1.6
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	21	MLB MLE	LAA	34%	393	358	69	12	1	10	28	130	4	6	4	193	259	316	575	123	273	33	7	264	65	-16	-0	+0	+1	+9	-0.7
2028	22	MLB MLE	LAA	48%	470	427	86	15	2	13	35	150	5	7	5	201	270	337	607	136	275	32	7	274	71	-16	-1	+0	+2	+10	-0.5
2029	23	MLB MLE	LAA	54%	513	463	96	17	2	15	39	159	6	8	6	207	278	350	627	143	276	31	8	280	76	-15	-1	+0	+2	+11	-0.3
2030	24	MLB MLE	LAA	55%	539	486	102	18	2	16	42	165	6	8	6	210	281	354	635	144	278	31	8	284	78	-14	-1	+0	+2	+12	-0.1
2031	25	MLB MLE	LAA	56%	550	496	105	19	2	17	43	168	6	9	6	212	283	361	643	149	278	31	8	286	80	-13	-1	+0	+2	+12	-0.0
2032	26	MLB MLE	LAA	56%	554	500	106	19	2	17	43	169	6	9	6	212	282	360	642	148	278	31	8	287	80	-13	-1	+0	+2	+12	0.0
2033	27	MLB MLE	LAA	60%	552	497	105	19	2	17	44	168	6	9	6	211	283	360	644	149	278	30	8	287	80	-13	-1	+0	+2	+12	0.0
2034	28	MLB MLE	LAA	62%	546	491	103	18	2	17	44	167	6	8	6	210	283	358	641	149	277	31	8	286	80	-13	-1	-1	+2	+12	-0.1
2035	29	MLB MLE	LAA	63%	535	481	101	18	2	16	43	165	6	8	6	210	283	356	639	146	276	31	8	284	79	-14	-1	-1	+2	+12	-0.2
2036	30	MLB MLE	LAA	63%	524	470	97	17	2	15	43	163	6	7	5	206	281	347	628	140	275	31	8	282	77	-14	-1	-2	+2	+11	-0.4
2027	21	MLB CTX	LAA	34%	135	123	24	4	0	4	10	45	1	2	1	195	261	325	586	130	272	33	7	257	65	-6	+0	+0	+0	+3	-0.2
2028	22	MLB CTX	LAA	48%	228	207	41	7	1	6	17	73	2	3	2	198	265	329	594	130	274	32	7	266	71	-8	-0	+0	+1	+5	-0.2
2029	23	MLB CTX	LAA	54%	278	252	52	9	1	8	21	86	3	4	3	206	275	345	621	139	276	31	8	273	76	-8	-0	+0	+1	+6	-0.1
2030	24	MLB CTX	LAA	55%	299	271	57	10	1	9	23	91	3	5	3	210	279	354	634	144	277	30	8	277	78	-8	-0	+0	+1	+6	-0.0
2031	25	MLB CTX	LAA	56%	308	278	59	10	1	10	24	94	3	5	3	212	282	363	645	151	277	31	8	279	80	-7	-0	+0	+1	+7	0.0
2032	26	MLB CTX	LAA	56%	312	282	59	10	1	10	24	95	3	5	3	209	278	358	636	149	277	30	8	279	80	-7	-0	+0	+1	+7	0.0
2033	27	MLB CTX	LAA	60%	329	296	62	11	1	10	26	100	4	5	4	209	282	355	637	145	277	30	8	279	80	-8	-1	+0	+1	+7	-0.0
2034	28	MLB CTX	LAA	62%	337	303	63	11	1	10	27	103	4	5	4	208	281	350	631	142	277	31	8	279	80	-8	-1	-0	+1	+7	-0.1
2035	29	MLB CTX	LAA	63%	336	302	63	11	1	10	27	104	4	5	3	209	282	351	633	142	276	31	8	277	79	-9	-0	-1	+1	+7	-0.1
2036	30	MLB CTX	LAA	63%	332	298	62	11	1	10	27	103	4	5	3	208	283	352	635	144	275	31	8	274	77	-9	-0	-1	+1	+7	-0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2894	2612	542	94	9	87	226	894	31	44	29	208	278	350	629	143	276	31	8	275	74	-77	-3	-3	+10	+63	-1.0
/ 162G	—	A+C		—	650	587	122	21	2	20	51	201	7	10	7	208	280	353	632	145	276	31	8	275	74	-17	-1	-1	+2	+14	-0.2
Career	—	MLE		—	5779	5200	1068	186	25	158	451	1771	63	111	74	205	277	342	619	137	275	31	8	277	74	-142	-7	-4	+19	+112	-2.3
/ 162G	—	MLE		—	650	585	121	21	3	18	51	199	7	12	8	207	279	345	624	138	276	31	8	277	74	-18	-1	-1	+2	+14	-0.3

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Danny 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
#2Gordon 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
#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
#4J.P. Arencibialast yr '15 career totals — 5 seasons, 1,650 PA	2.5	1,650	78	2	213	260	414	+29	-4	4.2	4.2
/162	664	31	1	+11.9	-1.7	1.7	pk7: 4
#5Adam 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	4.8	3,158	91	49	207	275	348	+32	+21	2.7	2.8
/162	664	19	10	+6.7	+4.4	0.6	pk7: 3
#6Ryan 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

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
Anyelo Marquez (OGILVIE)	20	30	30	45	35	186/251/302	116	270	6	5	35%	7%	57	-0.8	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Jose Cordoba 2023 · A	20	38	42→40	44→55	39	190/253/289	99	277	10	9	34%	6%	54	-2.0	206/263/300	94	283	6	11	28%	6%	59	-1.6	204/262/298	94	272	5	15	25%	6%	56	-0.8
✕Carlos Rodriguez 2023 · A	20	38	40→45	47→45	46	182/270/274	91	279	8	6	35%	10%	57	-1.8	191/265/269	78	298	5	6	34%	9%	53	-2.1	177/255/266	89	258	8	2	32%	9%	47	-1.0
✕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
✕Herman Armas 2007 · A	20	41	40→45	47→50	40	198/265/294	96	288	7	11	32%	6%	59	-1.6	218/287/329	111	286	11	9	26%	7%	76	-0.4	218/293/335	117	266	14	9	23%	8%	78	-0.2
✕Jaden Rudd 2023 · A	20	39→36	39→30	49→50	49	188/279/278	90	259	6	12	28%	10%	62	-1.4	179/292/246	67	290	3	14	35%	11%	61	-1.5	155/286/207	52	265	2	16	36%	11%	49	-1.2
✕Luis Mendez 2023 · A	20	39	42→40	48→50	37	192/248/299	106	284	10	10	35%	6%	54	-2.0	189/255/270	81	273	6	11	31%	7%	49	-2.4	188/251/268	79	253	5	13	26%	7%	46	-1.2
✕Darrien Miller 2021 · A	20	42→41	36→45	47→45	43	198/272/267	70	271	3	8	27%	6%	56	-1.9	199/300/314	115	273	13	6	30%	9%	79	-0.2	175/316/278	103	239	9	4	27%	12%	76	-0.2
✕Raudelis Martinez 2022 · A	20	36	38→30	44→45	44	178/240/255	77	234	7	7	26%	7%	41	-3.0	189/265/278	89	233	7	8	21%	8%	56	-1.9	175/246/238	64	210	6	6	19%	8%	39	-1.5
✕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
✕Sandy Acevedo 2013 · A	20	41	41→45	50	40	196/269/296	100	293	8	11	34%	7%	61	-1.5	199/266/318	119	286	10	9	32%	7%	65	-1.2	149/220/307	158	194	15	9	31%	7%	43	-0.7
✕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
✕Izaac Pacheco 2023 · A	20	41→40	42→50	47→45	42	199/260/306	108	293	10	8	34%	8%	60	-1.6	180/243/297	117	298	12	5	41%	7%	52	-2.2	178/255/335	157	290	20	3	43%	9%	64	-0.8
✕Rafael Mejia 2018 · A	20	35	42→40	47→50	36	182/227/281	99	253	10	6	32%	5%	41	-3.0	211/251/341	130	301	15	8	34%	4%	65	-1.2	206/233/374	168	276	24	10	35%	2%	61	-0.3
✕Iverson Leonardo 2023 · A	21	37	44→50	49→50	40	187/257/301	114	274	12	9	35%	7%	58	-1.7	198/280/293	95	349	7	8	41%	9%	65	-1.2	152/277/229	77	359	3	4	50%	12%	49	-0.5
✕Jose Meza 2023 · A	20	41→40	41→45	48→50	41	200/267/299	99	282	9	10	31%	6%	61	-1.5	203/296/305	102	299	9	8	32%	10%	74	-0.5	186/292/283	98	277	9	10	33%	11%	67	-0.7
✕Jorge Quiterio 2015 · A	20	36	40→45	46→45	39	183/234/269	86	255	8	8	31%	5%	41	-3.0	194/235/279	85	299	6	9	35%	5%	43	-2.8	177/200/259	83	273	6	12	37%	2%	24	-1.1
✕Hoy Park 2016 · A	20	40→49	41→45	47→55	46	196/269/296	99	264	8	11	28%	8%	61	-1.5	204/280/290	86	281	5	16	27%	8%	63	-1.3	228/317/324	96	297	8	17	24%	11%	83	+0.0
✕Daniel Vellojin 2019 · A	19	39	39→45	47→45	48	189/268/273	83	260	6	6	28%	9%	56	-1.9	213/303/311	98	271	7	8	22%	10%	78	-0.3	194/297/306	112	259	11	6	27%	12%	72	-0.3
✕Francis Christy 2016 · A	20	37	42→40	49→45	39	184/249/293	109	270	9	6	34%	6%	53	-2.1	184/232/252	68	300	4	5	37%	6%	36	-3.3	168/211/215	47	280	2	3	39%	5%	18	-2.0
✕Omar Lebron 2019 · A	20	39	41→40	49→55	45	192/265/289	97	247	9	15	26%	7%	59	-1.7	194/266/285	91	272	6	9	29%	7%	58	-1.7	150/240/231	81	213	3	9	28%	8%	35	-0.9

Career Stats + Projections

Career Comps

Career Path Comps