Eduardo Quintero

Eduardo QuinteroOF Great Lakes Loons

Age 20 R/R 6'1" / 175 lbs A+ HR +8%BB -8% Svc 0.0 · Ctrl thru 2033

2026 ROS PROJECTION501 act + 10 ros · stats below = ROS only

showingROS

wRC+†108

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

PA10

HR0

K%30

BB%10

BABIP310

ISO139

MLB%4%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control+$83M ctrl surplus

Tools · ContractCON 54 / POW 53

Toolsscout grade

CONTACT54

scouting grade only

POWER53

scouting grade only

EYE57

scouting grade only

SPEED58

scouting grade only

DEFENSE55

scouting grade only

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

Status MiLB

MLB Debut 2028

Service 0 yrs (est)

Team Control Through 2033

First FA Year 2034

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2028
2027	MiLB	still in minors · estimated debut 2028
2028	Pre-Arb	$0.8M	+1.8	$12M	+$12M
2029	Pre-Arb	$0.8M	+2.3	$15M	+$14M
2030	Pre-Arb	$0.9M	+2.5	$15M	+$14M
2031	Arb-1	$8M	+2.7	$16M	+$11M
2032	Arb-2	$13M	+2.8	$15M	+$8M
2033	Arb-3	$20M	+2.7	$13M	+$4M
Totals		$44M		$86M	+$63M

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 LAD Bautista	—	212	170	61	15	7	5	32	34	7	22	4	359	478	618	1.096	259	418	16	15	468	203	+26	+3	—	—	+5	3.4
2024	18	A	Rancho Cucamonga Quakes	—	112	92	18	4	2	0	18	22	1	3	3	196	333	283	616	87	257	20	16	290	83	-2	-1	—	—	+2	-0.0
2024	18	ROK	ACL Dodgers	—	233	185	61	7	3	3	41	45	5	29	3	330	463	449	912	119	417	19	18	411	164	+18	+5	—	—	+5	2.8
2025	19	A+	Great Lakes Loons	—	146	116	30	4	1	5	23	35	3	12	2	259	394	440	834	181	312	24	16	366	134	+6	+2	—	—	+3	1.1
2025	19	A	Rancho Cucamonga Quakes	—	395	317	97	18	6	14	65	88	6	35	11	306	432	533	965	227	376	22	16	418	169	+32	+3	—	—	+9	4.4
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2023	17	ROK MLE	DSL LAD Bautista	—	212	182	45	10	5	3	20	49	7	22	4	247	344	407	751	159	307	23	9	326	107	+2	+3	—	—	+5	0.9
2024	18	A MLE	Rancho Cucamonga Quakes	—	112	96	15	3	2	0	14	31	1	3	3	156	270	229	499	73	217	28	12	223	37	-8	-1	—	—	+2	-0.7
2024	18	ROK MLE	ACL Dodgers	—	233	202	46	5	2	2	24	66	5	29	3	228	325	302	627	74	318	28	10	286	80	-6	+5	—	—	+5	0.4
2025	19	A+ MLE	Great Lakes Loons	—	146	123	25	3	1	4	16	48	3	12	2	203	310	341	651	138	264	33	11	289	82	-3	+2	—	—	+3	0.2
2025	19	A MLE	Rancho Cucamonga Quakes	—	395	337	79	13	4	12	46	119	6	35	11	234	337	404	740	169	304	30	12	323	105	+2	+3	—	—	+9	1.4
2023	17	ROK MLE	DSL LAD Bautista	—	212	182	45	10	5	3	20	49	7	22	4	247	344	407	751	159	316	23	9	326	107	—	—	—	—	—	—
2023	17	ROK RAW	DSL LAD Bautista	—	212	170	61	15	7	5	32	34	7	22	4	359	478	618	1.096	259	418	16	15	468	107	—	—	—	—	—	—
2024	18	ROK MLE	2 teams	—	345	299	61	8	4	2	37	97	6	32	6	204	304	278	582	74	292	28	11	266	66	—	—	—	—	—	—
2024	18	ROK RAW	2 teams	—	345	277	79	11	5	3	59	67	6	32	6	285	421	394	815	108	364	19	17	372	66	—	—	—	—	—	—
2025	19	A MLE	2 teams	—	541	460	103	16	4	16	62	167	9	47	13	224	328	380	708	157	303	31	11	314	99	—	—	—	—	—	—
2025	19	A RAW	2 teams	—	541	433	127	22	7	19	88	123	9	47	13	293	422	508	930	215	359	23	16	404	99	—	—	—	—	—	—
2023	17	ROK MLE	DSL LAD Bautista	—	212	183	45	10	5	3	20	49	7	22	4	246	344	404	749	158	307	23	9	326	107	—	—	—	—	—	—
2024	18	ROK MLE	2 teams	—	345	299	61	8	4	2	37	97	6	32	6	204	304	278	582	74	285	28	11	266	66	—	—	—	—	—	—
2025	19	A MLE	2 teams	—	541	465	103	16	4	16	62	167	9	47	13	222	328	376	704	155	293	31	11	314	99	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	17	ROK MLE	DSL LAD Bautista	—	212	183	45	10	5	3	20	49	7	22	4	246	344	404	749	158	307	23	9	326	107	—	—	—	—	—	—
2024	18	ROK MLE	2 teams	—	345	299	61	8	4	2	37	97	6	32	6	204	304	278	582	74	285	28	11	266	66	—	—	—	—	—	—
2025	19	A MLE	2 teams	—	541	465	103	16	4	16	62	167	9	47	13	222	328	376	704	155	293	31	11	314	99	—	—	—	—	—	—
YTD	20	A+ MLE	LAD	—	501	423	103	22	4	10	63	138	12	44	7	243	357	385	743	142	335	28	13	326	107	+4	+6	+0	-3	+11	1.8
▸ 2026 season
YTD	20	A+ RAW	LAD	—	501	398	123	28	5	12	88	102	12	44	7	309	448	495	943	186	387	20	18	419	107	—	—	—	—	—	—
ROS	20	A+ MLE	LAD	4%	10	9	1	0	0	0	1	3	0	1	0	111	200	111	311		315	30	10	327	108	+0	+0	+0	-0	+0	0.0
TOT	20	A+ MLE	LAD	—	511	432	104	22	4	10	64	141	12	45	7	241	354	380	734	139	331	28	13	326	107	+4	+6	+0	-3	+11	1.9
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	21	MLB MLE	LAD	50%	581	496	117	23	4	13	70	153	10	28	5	236	342	377	719	141	314	26	12	329	109	+6	+4	+1	-3	+13	2.0
2028	22	MLB MLE	LAD	69%	605	517	127	25	4	17	73	154	10	28	5	246	350	408	758	162	314	25	12	340	116	+11	+4	+1	-4	+13	2.6
2029	23	MLB MLE	LAD	77%	615	526	132	25	5	19	74	152	10	27	5	251	354	426	780	175	313	25	12	347	121	+15	+3	+1	-4	+13	3.0
2030	24	MLB MLE	LAD	78%	627	537	136	26	5	20	75	153	10	26	5	253	355	432	787	179	314	24	12	351	124	+18	+3	+1	-4	+14	3.3
2031	25	MLB MLE	LAD	79%	634	541	138	26	5	21	77	153	11	25	5	255	359	438	797	183	314	24	12	355	126	+20	+3	+1	-4	+14	3.5
2032	26	MLB MLE	LAD	79%	639	545	140	26	5	22	78	154	11	25	5	257	361	444	805	187	314	24	12	356	127	+20	+3	+1	-4	+14	3.5
2033	27	MLB MLE	LAD	78%	637	542	139	26	5	22	79	154	11	24	4	256	362	445	807	188	314	24	12	356	127	+20	+3	+1	-4	+14	3.6
2034	28	MLB MLE	LAD	77%	631	537	136	26	4	21	78	154	11	21	4	253	359	434	793	181	313	24	12	355	126	+20	+3	+1	-4	+14	3.3
2035	29	MLB MLE	LAD	75%	621	529	133	25	4	21	77	152	10	19	4	251	357	433	790	181	312	24	12	353	125	+18	+2	-0	-4	+13	3.1
2036	30	MLB MLE	LAD	74%	609	518	129	24	4	20	76	151	10	17	3	249	356	427	783	178	311	25	12	350	123	+17	+2	-1	-4	+13	2.8
2037	31	MLB MLE	LAD	73%	595	506	125	23	4	19	74	149	10	14	3	247	354	421	775	174	309	25	12	346	120	+14	+2	-2	-4	+13	2.4
2038	32	MLB MLE	LAD	72%	576	490	120	22	4	18	72	147	9	12	2	245	352	416	768	171	305	26	12	340	116	+11	+2	-2	-3	+12	2.0
2039	33	MLB MLE	LAD	72%	547	465	109	19	3	16	68	142	9	9	2	234	343	391	735	157	301	26	12	333	112	+8	+1	-3	-3	+12	1.4
2040	34	MLB MLE	LAD	68%	499	427	98	17	3	14	61	133	8	7	1	230	337	382	718	152	295	27	12	324	106	+3	+1	-4	-3	+11	0.8
2041	35	MLB MLE	LAD	63%	443	379	84	14	3	12	54	121	7	5	1	222	330	369	699	148	288	27	12	314	99	-1	+1	-5	-3	+10	0.2
2027	21	MLB CTX	LAD	50%	292	250	58	11	2	7	35	77	5	14	3	232	338	376	714	144	309	26	12	314	109	+3	+2	+1	-2	+6	1.0
2028	22	MLB CTX	LAD	69%	417	357	87	17	3	12	50	106	7	19	4	244	348	409	757	165	308	25	12	325	116	+8	+2	+1	-3	+9	1.8
2029	23	MLB CTX	LAD	77%	471	404	100	19	3	15	56	116	8	21	4	248	350	421	771	173	308	25	12	333	121	+12	+3	+1	-3	+10	2.3
2030	24	MLB CTX	LAD	78%	489	419	106	20	3	17	59	119	8	20	4	253	356	437	793	184	309	24	12	338	124	+14	+2	+1	-3	+11	2.5
2031	25	MLB CTX	LAD	79%	499	427	108	20	3	18	61	121	8	20	4	253	357	440	797	187	309	24	12	341	126	+15	+2	+1	-3	+11	2.7
2032	26	MLB CTX	LAD	79%	505	429	109	20	3	18	62	122	9	19	4	254	360	441	801	186	309	24	12	342	127	+16	+2	+1	-3	+11	2.8
2033	27	MLB CTX	LAD	78%	494	422	107	20	3	18	61	120	8	18	3	254	358	443	802	190	309	24	12	342	127	+16	+2	+1	-3	+11	2.7
2034	28	MLB CTX	LAD	77%	485	414	104	19	3	17	60	118	8	16	3	251	357	435	792	184	308	24	12	341	126	+15	+2	+0	-3	+11	2.6
2035	29	MLB CTX	LAD	75%	464	395	99	18	3	16	58	114	8	14	3	251	358	433	791	182	308	25	12	340	125	+14	+2	-0	-3	+10	2.3
2036	30	MLB CTX	LAD	74%	448	382	94	17	3	15	56	111	7	12	2	246	353	424	777	178	306	25	12	337	123	+12	+2	-1	-3	+10	2.1
2037	31	MLB CTX	LAD	73%	433	369	90	16	2	15	54	109	7	10	2	244	351	420	771	176	304	25	12	333	120	+10	+1	-1	-3	+9	1.8
2038	32	MLB CTX	LAD	72%	417	355	85	15	2	14	52	106	7	8	2	239	348	411	759	172	301	25	12	327	116	+8	+1	-2	-3	+9	1.4
2039	33	MLB CTX	LAD	72%	395	337	79	14	2	12	49	103	6	7	1	234	342	395	736	160	296	26	12	321	112	+6	+1	-2	-2	+9	1.1
2040	34	MLB CTX	LAD	68%	338	288	66	11	2	10	42	90	5	4	1	229	337	385	723	156	290	27	12	312	106	+2	+0	-3	-2	+7	0.5
2041	35	MLB CTX	LAD	63%	280	240	52	8	1	8	34	77	4	3	1	217	324	358	682	142	283	28	12	302	99	-0	+0	-3	-2	+6	0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	6427	5488	1344	245	38	212	789	1609	105	205	41	245	351	419	770	174	306	25	12	332	116	+151	+25	-5	-39	+139	27.7
/ 162G	—	A+C		—	650	555	136	25	4	21	80	163	11	21	4	245	352	418	770	173	307	25	12	332	116	+15	+2	-1	-4	+14	2.8
Career	—	MLE		—	9967	8505	2073	381	75	296	1206	2538	169	389	77	244	349	411	760	167	310	25	12	340	116	+202	+36	-8	-53	+192	37.7
/ 162G	—	MLE		—	650	555	135	25	5	19	79	166	11	25	5	243	349	409	758	166	310	26	12	340	116	+15	+3	-1	-4	+14	2.8

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Curtis Grandersonlast yr '19 AS×3SS career totals — 15 seasons, 8,278 PA	12.5	8,278	344	153	249	337	466	-10	-4	47.5	42.0
/162	664	28	12	-0.8	-0.3	3.8	pk7: 36
#2Ben Zobristlast yr '19 career totals — 14 seasons, 6,836 PA	10.3	6,836	167	116	266	357	426	+2	+44	41.6	38.3
/162	664	16	11	+0.2	+4.2	4.0	pk7: 35
#3Grady Sizemorelast yr '15 career totals — 10 seasons, 4,724 PA	7.1	4,724	150	143	265	349	457	+7	+20	32.3	33.1
/162	664	21	20	+1.0	+2.8	4.5	pk7: 34
#4Shane Victorinolast yr '15 career totals — 11 seasons, 5,145 PA	7.7	5,145	106	231	275	340	424	-1	+44	31.0	29.9
/162	664	14	30	-0.2	+5.7	4.0	pk7: 29
#5Brett Gardnerlast yr '21 career totals — 13 seasons, 6,577 PA	9.9	6,577	139	272	256	341	398	-41	+49	29.8	26.6
/162	664	14	27	-4.2	+4.9	3.0	pk7: 23
#6Alex Gordonlast yr '20 AS×3GG×7SS career totals — 14 seasons, 7,250 PA	10.9	7,250	190	113	257	338	410	-58	+22	27.4	26.4
/162	664	17	10	-5.3	+2.0	2.5	pk7: 25
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 11 projected seasons	9.7	6,441	203	209	248	350	422	-39	+25	31.4	25.6
/162	664	21	22	-4.0	+2.6	3.2	pk7: 20

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
Eduardo Quintero (OGILVIE)	20	48→54	48→53	58	57	234/342/374	140	315	7	22	27%	12%	108	+1.0	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
●Luis Robert Jr. 2018 · A	20	47→57	44→65	53→60	47	224/318/346	122	316	10	16	30%	9%	92	+0.7	229/285/369	140	326	14	22	32%	5%	84	+0.1	282/328/497	215	335	28	17	24%	5%	126	+2.4
●Evan Carter 2023 · AA	20	48→53	45→50	55	52	231/313/367	136	291	10	21	23%	10%	94	+0.9	235/321/380	145	305	14	21	26%	10%	100	+1.3	231/323/380	149	298	15	24	26%	10%	97	+0.7
✕Adrian Pinto 2023 · A	20	49	41→45	59→65	52	232/323/340	107	283	6	29	19%	9%	92	+0.7	232/310/353	121	294	11	18	23%	8%	90	+0.6	226/310/337	111	288	7	11	22%	9%	81	-0.0
●Bo Bichette 2019 · AA	21	53→62	46→60	53→55	44	260/304/401	141	317	11	19	22%	6%	97	+1.1	271/317/445	174	327	18	20	22%	6%	113	+2.3	296/337/473	177	345	22	13	20%	5%	126	+3.5
●Byron Buxton 2014 · A	20	53→59	44→80	61→55	46	249/314/382	133	336	10	27	27%	8%	97	+1.1	236/291/376	140	326	12	22	29%	7%	87	+0.4	263/326/525	262	305	35	17	26%	7%	132	+2.7
✕Addison Russell 2014 · A	20	47→53	49→55	58→50	45	233/304/395	162	313	15	16	29%	8%	97	+1.1	240/303/397	157	305	17	9	26%	7%	97	+1.1	239/310/406	168	295	19	5	25%	8%	97	+0.9
●Yoán Moncada 2016 · A	21	49→59	44→55	63→60	43	233/302/354	121	326	11	34	30%	7%	87	+0.4	231/306/370	139	346	13	24	34%	9%	92	+0.7	276/361/458	182	366	19	5	27%	11%	129	+2.7
●B.J. Upton 2006 · MLB	21	53→60	46→60	57→60	48	258/322/399	141	328	13	29	24%	8%	104	+1.6	262/341/395	133	337	13	34	24%	10%	110	+2.1	265/358/417	152	341	15	35	24%	12%	118	+2.7
●Corbin Carroll 2022 · A	21	49→54	46→65	56→60	46	233/304/367	134	332	12	17	32%	9%	90	+0.6	253/334/461	208	309	22	32	24%	9%	123	+3.0	250/336/478	228	282	25	37	21%	10%	124	+3.4
●Javier Báez 2013 · A	20	46→56	52→70	57→55	36	236/280/404	168	303	20	20	29%	4%	91	+0.6	224/271/410	186	305	24	17	34%	5%	89	+0.5	279/318/523	244	341	31	15	27%	5%	124	+2.9
●Jordan Walker 2023 · AA	21	54→56	50→55	54→50	43	261/318/421	160	343	16	16	28%	7%	108	+1.9	242/301/387	145	313	15	11	26%	7%	94	+0.9	239/296/396	156	308	18	13	27%	7%	92	+0.7
✕Jake Marisnick 2012 · A	21	49→54	45→60	56→55	41	239/293/364	125	307	11	21	25%	5%	86	+0.3	229/280/349	120	292	10	20	25%	5%	77	-0.3	231/295/439	208	305	27	18	33%	6%	102	+0.7
●Gregory Polanco 2013 · A	21	48→56	46→60	56→55	46	241/291/374	133	283	13	23	20%	6%	86	+0.3	251/306/382	131	299	12	25	19%	7%	94	+0.9	255/327/463	208	285	24	14	19%	9%	115	+2.0
●Desmond Jennings 2008 · A	21	52→59	42→50	57→60	47	250/310/361	111	295	9	29	18%	6%	91	+0.7	255/317/373	118	302	8	32	17%	7%	96	+1.0	243/323/397	154	290	15	28	21%	9%	102	+1.5
●Julio Rodríguez 2022 · AA	21	57→56	50→60	53→55	44	278/336/438	160	355	17	18	26%	7%	118	+2.7	281/338/479	198	347	25	25	25%	7%	129	+3.4	279/337/473	194	342	26	27	25%	7%	123	+3.1
✕Victor Robles 2017 · A	20	51→52	42→50	57→60	42	244/314/356	112	302	8	24	21%	5%	92	+0.7	243/310/375	132	303	10	24	22%	5%	95	+0.9	246/315/392	146	305	12	27	22%	6%	97	+0.9
●Carlos Correa 2015 · A	20	54→60	43→60	52→55	47	259/320/381	122	327	8	14	23%	8%	99	+1.3	278/348/469	191	326	21	16	20%	9%	130	+3.5	285/361/493	208	326	25	14	20%	10%	135	+4.0
●James Wood 2023 · A	20	53→60	48→60	53→55	44	248/320/397	150	365	15	17	34%	9%	103	+1.6	246/322/426	180	358	19	16	34%	10%	111	+2.1	266/369/481	215	355	25	19	29%	14%	133	+3.8
✕Masyn Winn 2023 · AA	21	46→54	43→50	61→55	45	223/282/346	122	298	9	28	27%	7%	77	-0.3	240/293/371	131	287	13	16	20%	7%	87	+0.4	252/312/373	121	300	11	11	19%	7%	93	+0.8
✕Jordan Lawlar 2023 · AA	21	51	49→50	59→60	43	242/311/390	148	346	16	25	33%	8%	99	+1.2	226/301/363	137	307	13	27	29%	8%	88	+0.5	218/293/370	152	289	16	30	29%	8%	85	+0.1

Career Stats + Projections

Career Comps

Career Path Comps