Eduardo Quintero

OF Great Lakes Loons

Age 21 R/R 6'1" / 175 lbs A+ HR +8%BB -8% Svc 0.0 · Ctrl thru 2033

Overview

A+PROSPECTMiLBFA 2034

OGV OFP55OGV rank#21ETA2028MLB%11%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	18	A/ROK2 orgs	345	.285/.421/.394	3	32	69	—	.208/.310/.282
2025	19	A+/A2 orgs	541	.293/.422/.508	19	47	102	—	.231/.335/.390
2026	20	A+/INTL2 orgs	555	.295/.438/.466	12	49	112	—	.256/.369/.400
2027PROJ11% MLB	21	MLBLAD	22	.227/.333/.364	1	1	103	0.1
2028PROJ53% MLB	22	MLBLAD	275	.234/.339/.389	8	12	110	1.0
2029PROJ68% MLB	23	MLBLAD	371	.239/.343/.404	11	16	115	1.6

Next 3 projected WAR 2.6Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2033Service0.0First FA2034

2027MiLB2028Pre-Arb$0.8M2029Pre-Arb$0.8M2030Pre-Arb$0.8M2031Arb-1$6M2032Arb-2$10M2033Arb-3$15M

Skills · percentileMiLB Statcast 2026 A+

Chase%95

Speed95

wOBA94

wRC+94

Whiff%91

BB%88

Career WAR0.4 WAR median (P10 -0.3 / P90 41, comp-based) · star 13% · didn't stick 57%

CompsLuke Keaschall (age 21) · Desmond Jennings (age 21) · Masyn Winn (age 21)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†103

AVG/OBP/SLG.227 / .333 / .364

PA22

HR1

K%27

BB%14

BABIP291

ISO211

MLB%11%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control+$47M ctrl surplus

Contract

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
2027	MiLB	still in minors · estimated debut 2028
2028	Pre-Arb	$0.8M	+1.0	$7M	+$7M
2029	Pre-Arb	$0.8M	+1.6	$11M	+$10M
2030	Pre-Arb	$0.8M	+1.8	$11M	+$11M
2031	Arb-1	$6M	+1.9	$11M	+$7M
2032	Arb-2	$10M	+1.9	$10M	+$4M
2033	Arb-3	$15M	+1.8	$9M	+$1M
Totals		$34M		$61M	+$41M

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.

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	86	—	—	—	—	—	—
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	45	—	—	—	—	—	—
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	81	—	—	—	—	—	—
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	93	—	—	—	—	—	—
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	105	—	—	—	—	—	—
2026	20	A+	Great Lakes Loons	—	501	398	123	28	5	12	88	102	12	44	7	309	448	495	943	186	387	20	18	419	116	—	—	—	—	—	—
2026	20	INTL	Glendale Desert Dogs	—	54	42	7	1	0	0	11	14	1	5	0	167	352	190	542	24	250	26	20	280	76	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2023	17	ROK MLE	DSL LAD Bautista	—	212	179	38	9	4	2	23	42	7	22	4	212	325	341	666	128	255	20	11	295	86	—	—	—	—	—	—
2024	18	A MLE	Rancho Cucamonga Quakes	—	112	96	15	3	2	0	14	31	1	3	3	156	270	229	499	73	234	28	12	235	45	—	—	—	—	—	—
2024	18	ROK MLE	ACL Dodgers	—	233	202	47	5	2	2	24	66	5	29	3	233	329	307	636	74	320	28	10	288	81	—	—	—	—	—	—
2025	19	A+ MLE	Great Lakes Loons	—	146	122	26	3	1	4	17	45	3	12	2	213	324	352	676	139	278	31	12	305	93	—	—	—	—	—	—
2025	19	A MLE	Rancho Cucamonga Quakes	—	395	337	80	13	5	11	46	121	6	35	11	237	339	404	743	166	318	31	12	324	105	—	—	—	—	—	—
2026	20	A+ MLE	Great Lakes Loons	—	501	422	108	23	4	10	64	130	12	44	7	256	369	400	770	145	338	26	13	339	116	—	—	—	—	—	—
2023	17	ROK MLE	DSL LAD Bautista	—	212	179	38	9	4	2	23	42	7	22	4	212	325	341	666	128	261	20	11	295	86	—	—	—	—	—	—
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	86	—	—	—	—	—	—
2024	18	ROK MLE	2 teams	—	345	298	62	8	4	2	38	97	6	32	6	208	310	282	592	74	299	28	11	271	69	—	—	—	—	—	—
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	69	—	—	—	—	—	—
2025	19	A MLE	2 teams	—	541	459	107	17	5	15	63	167	9	47	13	233	337	390	727	157	321	31	12	319	102	—	—	—	—	—	—
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	102	—	—	—	—	—	—
2026	20	A+ MLE	2 teams	—	555	468	120	25	5	11	71	144	13	49	7	256	370	402	771	145	345	26	13	339	116	—	—	—	—	—	—
2026	20	A+ RAW	2 teams	—	555	440	130	29	5	12	99	116	13	49	7	295	438	466	904	170	375	21	18	405	116	—	—	—	—	—	—
2023	17	ROK MLE	DSL LAD Bautista	—	212	180	38	9	4	2	23	42	7	22	4	211	325	339	664	128	255	20	11	295	86	—	—	—	—	—	—
2024	18	ROK MLE	2 teams	—	345	298	62	8	4	2	38	97	6	32	6	208	310	282	592	74	292	28	11	271	69	—	—	—	—	—	—
2025	19	A MLE	2 teams	—	541	464	107	17	5	15	63	167	9	47	13	231	337	386	723	155	307	31	12	319	102	—	—	—	—	—	—
2026	20	A+ MLE	2 teams	—	555	466	120	25	5	11	71	144	13	49	7	258	370	403	773	146	338	26	13	339	116	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	18	ROK MLE	2 teams	—	345	298	62	8	4	2	38	97	6	32	6	208	310	282	592	74	292	28	11	271	69	—	—	—	—	—	—
2025	19	A MLE	2 teams	—	541	464	107	17	5	15	63	167	9	47	13	231	337	386	723	155	307	31	12	319	102	—	—	—	—	—	—
2026	20	A+ MLE	2 teams	—	555	466	120	25	5	11	71	144	13	49	7	258	370	403	773	146	338	26	13	339	116	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	21	MLB MLE	LAD	11%	611	522	121	23	5	13	74	154	10	28	6	231	337	370	707	139	298	25	12	320	103	+2	+3	+1	-4	+13	0.7
▸ 2027 — real world (MLB)
2027	21	MLB CTX	LAD	11%	22	19	5	1	0	1	3	6	0	1	0	227	333	364	697	137	291	27	14	316	103	+0	+0	+0	-0	+0	0.1
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	22	MLB MLE	LAD	53%	517	442	105	19	4	14	62	126	8	23	5	238	343	394	737	156	299	24	12	331	110	+6	+3	+1	-3	+11	1.8
2029	23	MLB MLE	LAD	68%	547	468	113	21	4	16	66	131	8	23	5	243	346	409	755	166	299	24	12	338	115	+10	+3	+1	-3	+12	2.2
2030	24	MLB MLE	LAD	71%	560	479	118	21	4	18	67	132	9	23	5	246	348	418	766	172	300	24	12	342	118	+12	+3	+1	-3	+12	2.5
2031	25	MLB MLE	LAD	72%	578	496	122	22	4	19	68	135	9	23	5	247	348	421	769	175	299	23	12	343	118	+13	+3	+1	-3	+13	2.6
2032	26	MLB MLE	LAD	73%	590	507	125	23	4	19	69	138	9	22	5	247	347	422	768	175	299	23	12	342	118	+13	+2	+1	-4	+13	2.6
2033	27	MLB MLE	LAD	72%	590	507	125	23	4	19	69	139	9	21	4	246	346	419	765	173	298	24	12	341	117	+12	+3	+1	-4	+13	2.6
2034	28	MLB MLE	LAD	71%	582	501	121	22	4	18	68	138	8	18	4	244	344	414	758	170	297	24	12	338	115	+10	+2	+1	-3	+13	2.3
2035	29	MLB MLE	LAD	69%	565	486	117	21	4	17	66	136	8	14	3	241	341	407	748	166	296	24	12	335	113	+8	+2	+0	-3	+12	1.9
2036	30	MLB MLE	LAD	68%	552	476	113	20	4	16	64	134	7	11	3	238	337	399	736	161	294	24	12	330	109	+6	+1	-1	-3	+12	1.5
2037	31	MLB MLE	LAD	68%	534	461	107	19	3	15	61	132	7	7	2	233	332	388	721	155	291	25	11	324	105	+3	+1	-1	-3	+12	1.1
2038	32	MLB MLE	LAD	67%	511	442	101	18	3	14	58	129	6	4	2	228	326	375	701	147	286	25	11	316	100	+0	+0	-2	-3	+11	0.6
2039	33	MLB MLE	LAD	67%	475	413	92	16	3	12	53	122	6	2	5	221	319	359	678	138	281	26	11	307	94	-3	-2	-3	-3	+10	-0.1
2028	22	MLB CTX	LAD	53%	275	236	56	10	2	8	33	67	4	12	3	234	339	389	728	155	291	24	12	328	110	+3	+1	+0	-2	+6	1.0
2029	23	MLB CTX	LAD	68%	371	317	75	13	2	11	45	89	6	16	3	239	343	404	747	165	292	24	12	335	115	+7	+2	+1	-2	+8	1.6
2030	24	MLB CTX	LAD	71%	398	341	83	14	3	13	48	94	6	16	3	242	345	413	758	171	292	24	12	339	118	+8	+2	+1	-2	+9	1.8
2031	25	MLB CTX	LAD	72%	418	360	87	15	3	14	49	98	6	16	3	243	345	417	762	174	292	23	12	340	118	+9	+2	+1	-3	+9	1.9
2032	26	MLB CTX	LAD	73%	430	371	90	16	3	14	50	100	6	16	3	243	344	417	761	174	292	23	12	339	118	+9	+2	+1	-3	+9	1.9
2033	27	MLB CTX	LAD	72%	423	364	88	15	3	14	50	99	6	15	3	242	343	414	757	173	291	23	12	338	117	+9	+2	+1	-3	+9	1.8
2034	28	MLB CTX	LAD	71%	414	356	86	15	2	14	49	98	6	12	3	240	341	409	750	170	290	24	12	335	115	+7	+1	+1	-2	+9	1.6
2035	29	MLB CTX	LAD	69%	391	337	79	14	2	12	46	94	5	10	2	237	338	403	741	166	289	24	12	332	113	+6	+1	+0	-2	+8	1.3
2036	30	MLB CTX	LAD	68%	377	325	76	13	2	12	44	92	5	8	2	234	334	395	729	161	287	24	12	327	109	+4	+1	-0	-2	+8	1.1
2037	31	MLB CTX	LAD	68%	361	311	72	12	2	11	42	89	5	5	2	230	329	384	714	155	284	25	12	321	105	+2	+0	-1	-2	+8	0.7
2038	32	MLB CTX	LAD	67%	344	298	67	11	2	10	39	87	4	3	1	224	323	371	694	147	280	25	11	313	100	+0	+0	-1	-2	+7	0.4
2039	33	MLB CTX	LAD	67%	319	276	60	10	2	8	36	82	4	1	3	218	316	355	671	138	275	26	11	304	94	-2	-1	-2	-2	+7	-0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	4521	3892	919	158	28	141	531	1089	63	130	31	236	337	400	737	164	290	24	12	330	109	+63	+14	+1	-27	+98	15.1
/ 162G	—	A+C		—	650	560	132	23	4	20	76	157	9	19	4	236	336	398	735	162	290	24	12	330	109	+9	+2	+0	-4	+14	2.2
Career	—	MLE		—	8464	7262	1728	312	65	232	991	2095	132	350	80	238	340	395	735	157	300	25	12	329	109	+91	+20	+1	-41	+148	22.3
/ 162G	—	MLE		—	650	558	133	24	5	18	76	161	10	27	6	238	340	396	736	158	300	25	12	329	109	+9	+2	+0	-4	+14	2.1

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 A+Great Lakes Loons · 501 PAwOBA .411 → .339 (−72)K% 20.4% → 25.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.36%	÷1.000	×1.270	—	—	25.86%
BB% (unintentional) /PA	17.56%	÷1.000	×0.710	—	×1.027	12.81%
HBP% /PA	2.40%	—	×0.790	—	×1.027	1.94%
Singles /BIP	26.35%	÷1.000	×0.920	×0.964	×1.027	23.99%
Doubles /BIP	9.46%	÷1.000	×0.810	×0.964	×1.027	7.58%
Triples /BIP	1.69%	÷1.000	×0.850	×0.964	×1.027	1.42%
Home runs /BIP	4.05%	÷1.000	×0.800	—	×1.027	3.33%

Factors used: league row Midwest League. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 21 vs a level average of 22.8 → +2.7% on BB/HBP/hit rates (1.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.964.

Result: wOBA .411 → .339; ISO .186 → .153; BABIP .387 → .338. 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 ARancho Cucamonga Quakes · 395 PAwOBA .413 → .324 (−89)K% 22.3% → 30.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.28%	÷0.987	×1.360	—	—	30.69%
BB% (unintentional) /PA	16.20%	÷0.981	×0.690	—	×1.030	11.74%
HBP% /PA	1.52%	—	×0.780	—	×1.030	1.22%
Singles /BIP	25.76%	÷1.004	×0.920	×0.950	×1.030	23.10%
Doubles /BIP	7.86%	÷1.054	×0.830	×0.950	×1.030	6.06%
Triples /BIP	2.62%	÷1.150	×0.910	×0.950	×1.030	2.03%
Home runs /BIP	6.11%	÷1.055	×0.800	—	×1.030	4.77%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 111, 1B 101, 2B 111, 3B 130, K 97, BB 96 — applied at half strength. Age: age 20 vs a level average of 22.0 → +3.0% on BB/HBP/hit rates (2.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .413 → .324; ISO .227 → .172; BABIP .376 → .318. 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 A+Great Lakes Loons · 146 PAwOBA .368 → .305 (−62)K% 24.0% → 31.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.97%	÷0.980	×1.270	—	—	31.06%
BB% (unintentional) /PA	15.75%	÷1.023	×0.710	—	×1.042	11.40%
HBP% /PA	2.05%	—	×0.790	—	×1.042	1.69%
Singles /BIP	24.69%	÷1.000	×0.920	×0.950	×1.042	22.50%
Doubles /BIP	4.94%	÷0.927	×0.810	×0.950	×1.042	4.27%
Triples /BIP	1.23%	÷1.150	×0.850	×0.950	×1.042	0.90%
Home runs /BIP	6.17%	÷0.992	×0.800	—	×1.042	5.19%

Factors used: league row Midwest League. Park (home-season share, regressed): HR 98, 1B 100, 2B 85, 3B 130, K 96, BB 105 — applied at half strength. Age: age 20 vs a level average of 22.8 → +4.2% on BB/HBP/hit rates (2.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .368 → .305; ISO .181 → .152; BABIP .312 → .278. 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).

2024 ROKACL Dodgers · 233 PAwOBA .405 → .288 (−117)K% 19.3% → 28.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.31%	÷0.984	×1.440	—	—	28.26%
BB% (unintentional) /PA	17.60%	÷1.070	×0.620	—	×1.008	10.28%
HBP% /PA	2.15%	—	×0.720	—	×1.008	1.56%
Singles /BIP	34.29%	÷1.011	×0.820	×0.960	×1.008	26.90%
Doubles /BIP	5.00%	÷1.010	×0.720	×0.960	×1.008	3.45%
Triples /BIP	2.14%	÷0.967	×0.720	×0.960	×1.008	1.54%
Home runs /BIP	2.14%	÷0.942	×0.780	—	×1.008	1.79%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 88, 1B 102, 2B 102, 3B 93, K 97, BB 114 — applied at half strength. Age: age 19 vs a level average of 19.5 → +0.8% on BB/HBP/hit rates (0.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.960.

Result: wOBA .405 → .288; ISO .119 → .090; BABIP .417 → .320. 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).

2024 ARancho Cucamonga Quakes · 112 PAwOBA .284 → .235 (−50)K% 19.6% → 27.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.64%	÷0.964	×1.360	—	—	27.71%
BB% (unintentional) /PA	16.07%	÷0.943	×0.690	—	×1.045	12.29%
HBP% /PA	0.89%	—	×0.780	—	×1.045	0.73%
Singles /BIP	17.14%	÷1.072	×0.920	×1.005	×1.045	15.45%
Doubles /BIP	5.71%	÷0.973	×0.830	×1.005	×1.045	5.12%
Triples /BIP	2.86%	÷0.973	×0.910	×1.005	×1.045	2.81%
Home runs /BIP	0.00%	÷1.072	×0.800	—	×1.045	0.00%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 114, 1B 114, 2B 95, 3B 95, K 93, BB 89 — applied at half strength. Age: age 19 vs a level average of 22.0 → +4.5% on BB/HBP/hit rates (3.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.005.

Result: wOBA .284 → .235; ISO .087 → .077; BABIP .257 → .234. 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).

2023 DSLDSL LAD Bautista · 212 PAwOBA .463 → .295 (−167)K% 16.0% → 19.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.04%	÷0.999	×1.220	—	—	19.59%
BB% (unintentional) /PA	15.09%	÷0.980	×0.700	—	×1.008	10.86%
HBP% /PA	3.30%	—	×0.700	—	×1.008	2.33%
Singles /BIP	25.00%	÷1.003	×0.680	×0.950	×1.008	16.23%
Doubles /BIP	11.03%	÷0.990	×0.600	×0.950	×1.008	6.40%
Triples /BIP	5.15%	÷0.969	×0.600	×0.950	×1.008	3.05%
Home runs /BIP	3.68%	÷1.319	×0.470	—	×1.008	1.32%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 164, 1B 101, 2B 98, 3B 94, K 100, BB 96 — 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 .463 → .295; ISO .259 → .138; BABIP .418 → .255. 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).

Not traceable per stint: some stints lack the counting stats the component translation needs. Level-wide factors that apply instead — .

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Brett 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
#2Alex 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
#3Von Hayes'81-'92 * career totals — 12 seasons, 6,052 PA	9.1	6,052	143	253	265*	354*	446*	-54	+11	27.3	26.0
/162	664	16	28	-6.0	+1.2	3.0	pk7: 25
#4Tommy Harper'62-'76 * career totals — 14 seasons, 7,164 PA	10.8	7,164	146	408	259*	343*	417*	-51	+4	24.7	23.5
/162	664	14	38	-4.7	+0.4	2.3	pk7: 22
#5Matt Lawton'95-'06 * career totals — 11 seasons, 5,570 PA	8.4	5,570	138	165	256*	354*	404*	-56	+20	21.4	20.3
/162	664	16	20	-6.7	+2.4	2.6	pk7: 19
#6Eric Byrneslast yr '09 career totals — 8 seasons, 3,440 PA	5.2	3,440	106	125	260	321	441	-21	+3	14.9	15.2
/162	664	20	24	-4.1	+0.6	2.9	pk7: 16
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 8 projected seasons	6.8	4,543	136	131	241	338	405	-27	+17	17.3	15.2
/162	664	20	19	-4.0	+2.5	2.5	pk7: 13

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)	21	—	—	—	—	229/334/367	138	298	5	9	25%	12%	103	+0.5	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
●Luke Keaschall 2024 · A	21	49→58	44→45	56→55	46	237/309/366	129	311	10	16	26%	8%	92	+0.7	257/344/386	129	308	12	23	20%	9%	110	+2.1	267/360/392	125	312	12	25	17%	9%	117	+2.0
●Desmond Jennings 2008 · A	21	52→61	43→50	57→60	47	252/313/364	112	298	9	29	18%	6%	93	+0.8	260/323/383	123	308	9	32	17%	8%	101	+1.4	264/336/406	142	313	11	37	18%	8%	108	+1.9
✕Masyn Winn 2023 · AA	21	48→53	44→50	61→55	46	231/292/359	128	308	9	28	27%	8%	84	+0.1	243/298/376	133	291	13	16	20%	7%	90	+0.6	248/309/365	117	296	11	11	19%	7%	93	+0.8
●Jordan Walker 2023 · AA	21	55→58	50→55	54→50	44	269/329/436	167	354	17	16	28%	7%	116	+2.5	245/306/393	148	317	16	11	26%	7%	97	+1.1	236/293/390	154	305	18	13	28%	7%	92	+0.7
✕Jett Williams 2024 · AA	20	44→48	45→50	60→55	54	209/324/338	129	296	11	25	30%	12%	93	+0.8	216/310/345	129	299	10	23	28%	11%	88	+0.4	214/300/348	134	288	11	26	27%	10%	82	+0.0
●Brett Lawrie 2011 · AA	21	52→57	44→55	56→55	43	251/297/391	141	317	9	18	23%	6%	93	+0.8	266/319/430	164	312	15	17	19%	6%	110	+2.1	269/327/436	167	303	17	16	17%	7%	114	+1.9
✕Jordan Lawlar 2023 · AA	21	53→55	48→50	60	44	250/321/400	150	359	16	25	33%	8%	104	+1.6	235/312/377	142	318	13	27	28%	8%	96	+1.0	231/307/395	164	304	17	30	28%	8%	96	+0.6
✕Jake Marisnick 2012 · A	21	50→56	45→60	57→55	41	245/300/373	128	315	12	21	25%	5%	91	+0.6	236/287/360	124	301	11	20	25%	5%	82	+0.0	229/291/435	206	302	27	18	33%	6%	103	+0.8
●Evan Carter 2023 · AA	20	48→55	46→50	55	52	233/315/374	141	290	12	21	23%	10%	96	+1.0	239/326/389	150	309	14	21	25%	10%	103	+1.6	237/330/391	154	306	15	24	25%	10%	104	+0.9
✕Luke Adams 2024 · A	20	42→39	44→50	53→55	51	201/318/323	122	288	11	21	31%	11%	88	+0.4	207/347/351	144	268	15	19	27%	12%	106	+1.8	200/355/358	159	246	17	19	24%	12%	108	+1.1
●Jackson Chourio 2024 · AAA	20	48→57	50→60	56→55	41	243/288/398	155	310	17	24	27%	6%	91	+0.7	267/311/444	177	322	20	22	23%	6%	111	+2.1	275/322/461	186	325	22	23	22%	6%	120	+2.7
★Pete Crow-Armstrong 2023 · A	21	52→53	48→65	55→60	41	255/308/405	150	338	15	21	28%	6%	100	+1.3	236/288/405	169	305	18	31	28%	6%	94	+0.9	247/308/475	228	288	29	35	25%	7%	118	+2.8
●B.J. Upton 2006 · MLB	21	56→60	49→60	58→60	49	270/336/428	157	342	15	29	24%	9%	116	+2.5	267/346/408	141	342	14	34	24%	10%	115	+2.4	264/354/415	151	338	15	35	24%	12%	120	+2.9
●Gregory Polanco 2013 · A	21	49→57	46→60	56→55	46	243/293/378	134	285	14	23	20%	6%	88	+0.5	256/310/389	133	304	13	25	19%	7%	97	+1.1	250/314/453	203	277	24	14	19%	8%	115	+2.1
●Bo Bichette 2019 · AA	21	56→62	46→60	54→55	44	272/317/419	147	333	11	19	22%	6%	107	+1.8	278/323/457	179	335	19	20	22%	6%	118	+2.7	296/338/473	177	346	22	13	20%	5%	129	+3.8
●Matt McLain 2022 · A	22	46→56	44→55	53→55	48	221/299/337	116	298	11	20	28%	9%	82	+0.0	239/322/420	181	326	19	22	30%	9%	109	+2.0	234/319/405	170	315	19	23	30%	10%	104	+1.4
●Corbin Carroll 2022 · A	21	49→53	46→60	56→60	46	234/305/370	135	333	12	17	32%	9%	91	+0.7	255/336/463	208	311	22	32	24%	9%	124	+3.1	245/330/467	222	275	25	37	21%	10%	124	+3.4
●CJ Abrams 2022 · AA	21	54→53	42→60	56→60	43	257/308/377	120	328	8	22	23%	6%	93	+0.8	249/298/385	136	296	13	29	20%	4%	93	+0.8	252/319/452	200	292	23	30	22%	7%	117	+2.7
✕Harry Ford 2024 · A	21	46→53	46→45	52→55	56	220/336/355	135	298	13	15	28%	13%	101	+1.4	227/331/344	117	301	11	16	25%	12%	97	+1.1	223/330/334	111	296	10	16	25%	12%	91	+0.5
✕Matt Shaw 2024 · AA	22	52→48	49→55	59→55	41	261/297/413	152	307	16	22	21%	4%	98	+1.2	244/315/408	164	287	19	23	21%	8%	104	+1.6	237/316/404	167	275	19	23	21%	9%	102	+1.1

Eduardo Quintero

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps