Eduardo Guerrero

Eduardo GuerreroSS Great Lakes Loons

Age 21 S/R 6'2" / 165 lbs A+ HR +8%BB -8% Svc 0.0 · Ctrl thru 2035

2026 ROS PROJECTION467 act + 10 ros · stats below = ROS only

showingROS

wRC+†71

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

PA10

HR0

K%20

BB%10

BABIP292

ISO65

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$25M ctrl surplus

Tools · ContractCON 40 / POW 25

Toolsscout grade

CONTACT40

scouting grade only

POWER25

scouting grade only

EYE60

scouting grade only

SPEED45

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
2026	MiLB	still in minors · estimated debut 2030
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	$0.9M	+0.7	$2M	+$1M
2031	Pre-Arb	$0.9M	+0.8	$2M	+$2M
2032	Pre-Arb	$0.9M	+0.8	$2M	+$2M
2033	Arb-1	$4M	+0.8	$2M	+$0.2M
2034	Arb-2	$5M	+0.6	$1M	+$0.0M (cut)
2035	Arb-3	$6M	+0.5	$1M	+$0.0M (cut)
Totals		$6M		$10M	+$5M

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)
2022	17	ROK	DSL LAD Mega	—	202	172	51	4	0	1	23	32	3	6	4	297	389	337	726	41	350	16	11	332	111	+3	-0	—	—	+4	0.7
2023	18	ROK	DSL LAD Mega	—	184	162	42	12	2	1	18	24	1	4	3	259	337	377	714	117	293	13	10	318	101	+0	-0	—	—	+4	0.4
2024	19	A	Rancho Cucamonga Quakes	—	90	77	15	1	0	0	12	22	0	3	1	195	303	208	511	13	268	24	13	248	54	-5	+0	—	—	+2	-0.3
2024	19	ROK	ACL Dodgers	—	169	128	33	3	3	0	30	29	6	6	0	258	421	328	749	70	317	17	18	346	120	+4	+1	—	—	+4	0.9
2025	20	AA	Tulsa Drillers	—	53	45	9	0	0	0	7	13	0	0	1	200	308	200	508		281	25	13	246	53	-3	-0	—	—	+1	-0.2
2025	20	A+	Great Lakes Loons	—	22	21	3	0	1	0	1	4	0	0	0	143	182	238	420	95	176	18	5	187	13	-2	+0	—	—	+0	-0.2
2025	20	A	Rancho Cucamonga Quakes	—	330	257	57	8	3	3	63	51	5	8	5	222	385	311	696	89	262	15	19	327	107	+3	-0	—	—	+7	1.0
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2022	17	ROK MLE	DSL LAD Mega	—	202	181	43	3	0	1	14	47	3	6	4	238	303	271	574	33	296	23	7	255	59	-10	-0	—	—	+4	-0.6
2023	18	ROK MLE	DSL LAD Mega	—	184	169	31	8	1	1	11	35	1	4	3	183	238	260	498	77	220	19	6	221	36	-14	-0	—	—	+4	-1.1
2024	19	A MLE	Rancho Cucamonga Quakes	—	90	80	12	1	0	0	9	31	0	3	1	150	236	163	398	13	236	34	10	193	17	-9	+0	—	—	+2	-0.7
2024	19	ROK MLE	ACL Dodgers	—	169	141	28	2	2	0	17	42	6	6	0	199	311	241	552	43	266	25	10	264	65	-7	+1	—	—	+4	-0.2
2025	20	AA MLE	Tulsa Drillers	—	53	47	9	0	0	0	5	16	0	0	1	191	269	191	461		273	30	9	206	26	-5	-0	—	—	+1	-0.4
2025	20	A+ MLE	Great Lakes Loons	—	22	21	3	0	1	0	1	6	0	0	0	143	182	238	420	95	149	27	5	137	-21	-3	+0	—	—	+0	-0.3
2025	20	A MLE	Rancho Cucamonga Quakes	—	330	274	52	6	2	3	46	69	5	8	5	190	317	259	576	69	233	21	14	266	66	-13	-0	—	—	+7	-0.7
2022	17	ROK MLE	DSL LAD Mega	—	202	181	43	3	0	1	14	47	3	6	4	238	303	271	574	33	307	23	7	255	59	—	—	—	—	—	—
2022	17	ROK RAW	DSL LAD Mega	—	202	172	51	4	0	1	23	32	3	6	4	297	389	337	726	41	350	16	11	332	59	—	—	—	—	—	—
2023	18	ROK MLE	DSL LAD Mega	—	184	169	31	8	1	1	11	35	1	4	3	183	238	260	498	77	221	19	6	221	36	—	—	—	—	—	—
2023	18	ROK RAW	DSL LAD Mega	—	184	162	42	12	2	1	18	24	1	4	3	259	337	377	714	117	293	13	10	318	36	—	—	—	—	—	—
2024	19	ROK MLE	2 teams	—	259	221	41	3	2	0	26	73	6	9	1	186	289	217	506	32	266	28	10	239	48	—	—	—	—	—	—
2024	19	ROK RAW	2 teams	—	259	205	48	4	3	0	42	51	6	9	1	234	379	283	662	49	300	20	16	312	48	—	—	—	—	—	—
2025	20	A MLE	3 teams	—	405	343	63	6	3	3	51	91	5	8	6	184	298	245	543	61	238	22	13	251	56	—	—	—	—	—	—
2025	20	A RAW	3 teams	—	405	323	69	8	4	3	71	68	5	8	6	214	363	291	654	77	259	17	18	309	56	—	—	—	—	—	—
2022	17	ROK MLE	DSL LAD Mega	—	202	183	43	3	0	1	14	47	3	6	4	235	303	268	571	33	296	23	7	255	59	—	—	—	—	—	—
2023	18	ROK MLE	DSL LAD Mega	—	184	170	31	8	1	1	11	35	1	4	3	182	238	259	496	76	220	19	6	221	36	—	—	—	—	—	—
2024	19	ROK MLE	2 teams	—	259	225	41	3	2	0	26	73	6	9	1	182	289	213	502	31	256	28	10	239	48	—	—	—	—	—	—
2025	20	A MLE	3 teams	—	405	346	63	6	3	3	51	91	5	8	6	182	298	243	541	61	234	22	13	251	56	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	18	ROK MLE	DSL LAD Mega	—	184	170	31	8	1	1	11	35	1	4	3	182	238	259	496	76	220	19	6	221	36	—	—	—	—	—	—
2024	19	ROK MLE	2 teams	—	259	225	41	3	2	0	26	73	6	9	1	182	289	213	502	31	256	28	10	239	48	—	—	—	—	—	—
2025	20	A MLE	3 teams	—	405	346	63	6	3	3	51	91	5	8	6	182	298	243	541	61	234	22	13	251	56	—	—	—	—	—	—
YTD	21	A+ MLE	LAD	—	467	416	99	12	2	4	42	121	2	15	6	238	311	305	616	67	320	26	9	277	74	-15	+1	+0	+5	+10	0.1
▸ 2026 season
YTD	21	A+ RAW	LAD	—	467	399	111	15	2	5	59	90	2	15	6	278	374	363	737	85	342	19	13	334	74	—	—	—	—	—	—
ROS	21	A+ MLE	LAD	0%	10	9	2	0	0	0	1	2	0	0	0	222	300	222	522		296	20	10	274	71	-0	+0	+0	+0	+0	-0.0
TOT	21	A+ MLE	LAD	—	477	425	101	12	2	4	43	123	2	15	6	238	311	304	614	66	319	26	9	277	74	-15	+1	+0	+5	+10	0.1
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	22	MLB MLE	LAD	35%	491	437	99	13	2	6	48	118	3	9	4	227	307	307	614	80	296	24	10	284	78	-13	+0	+0	+5	+11	0.3
2028	23	MLB MLE	LAD	49%	536	475	111	15	2	9	53	126	3	10	4	234	315	331	645	97	297	24	10	294	85	-9	+0	+0	+6	+12	0.9
2029	24	MLB MLE	LAD	53%	564	499	120	17	3	11	56	130	4	11	5	240	322	353	675	112	297	23	10	301	90	-7	+0	+0	+6	+12	1.2
2030	25	MLB MLE	LAD	55%	579	512	123	17	3	12	58	133	4	11	5	240	322	355	678	115	297	23	10	304	92	-6	+0	+0	+6	+13	1.4
2031	26	MLB MLE	LAD	56%	586	518	124	17	3	12	59	134	4	11	5	239	322	353	675	114	297	23	10	305	93	-5	+0	+0	+6	+13	1.4
2032	27	MLB MLE	LAD	55%	586	517	124	17	3	12	60	135	4	11	5	240	324	354	678	114	297	23	10	305	93	-5	+0	+0	+6	+13	1.4
2033	28	MLB MLE	LAD	55%	581	512	123	17	3	12	60	134	4	10	4	240	325	355	680	115	297	23	10	304	92	-5	+0	-1	+6	+13	1.3
2034	29	MLB MLE	LAD	53%	571	503	118	16	2	11	59	133	4	9	4	235	320	340	660	105	296	23	10	303	91	-6	+0	-1	+6	+12	1.1
2035	30	MLB MLE	LAD	57%	560	493	116	16	2	11	58	132	4	8	4	235	321	343	664	108	295	24	10	300	89	-7	+0	-2	+6	+12	0.9
2036	31	MLB MLE	LAD	60%	546	482	111	15	2	10	56	130	3	7	3	230	314	332	646	102	293	24	10	296	87	-9	+0	-3	+6	+12	0.7
2037	32	MLB MLE	LAD	61%	527	465	106	14	2	9	54	128	3	6	2	228	312	325	637	97	291	24	10	291	83	-11	+0	-4	+6	+11	0.3
2038	33	MLB MLE	LAD	62%	497	440	98	13	2	8	51	123	3	4	2	223	308	316	624	93	287	25	10	285	79	-12	+0	-4	+5	+11	-0.1
2027	22	MLB CTX	LAD	35%	170	150	35	5	1	2	17	41	1	3	1	233	315	320	635	87	292	24	10	277	78	-4	+0	+0	+2	+4	0.1
2028	23	MLB CTX	LAD	49%	260	230	53	7	1	4	26	61	2	5	2	230	314	322	636	91	292	23	10	288	85	-5	+0	+0	+3	+6	0.4
2029	24	MLB CTX	LAD	53%	298	265	63	9	1	6	29	69	2	6	2	238	318	347	665	109	293	23	10	294	90	-4	+0	+0	+3	+6	0.7
2030	25	MLB CTX	LAD	55%	317	280	66	9	1	7	32	73	2	6	3	236	318	350	668	114	293	23	10	298	92	-3	+0	+0	+3	+7	0.7
2031	26	MLB CTX	LAD	56%	326	288	68	9	1	7	33	75	2	6	3	236	319	347	666	111	293	23	10	299	93	-3	+0	+0	+3	+7	0.8
2032	27	MLB CTX	LAD	55%	322	284	67	9	1	7	33	74	2	6	3	236	320	349	668	113	293	23	10	299	93	-3	+0	+0	+3	+7	0.8
2033	28	MLB CTX	LAD	55%	318	280	66	9	1	7	33	74	2	6	2	236	321	350	671	114	293	23	10	298	92	-3	+0	-0	+3	+7	0.8
2034	29	MLB CTX	LAD	53%	305	269	63	9	1	6	31	71	2	5	2	234	318	342	660	108	292	23	10	296	91	-3	+0	-1	+3	+7	0.6
2035	30	MLB CTX	LAD	57%	319	281	65	9	1	6	33	75	2	5	2	231	316	335	651	103	291	24	10	294	89	-4	+0	-1	+3	+7	0.5
2036	31	MLB CTX	LAD	60%	325	287	66	9	1	6	33	78	2	4	2	230	314	331	645	101	289	24	10	290	87	-5	+0	-2	+3	+7	0.4
2037	32	MLB CTX	LAD	61%	323	285	64	8	1	6	33	78	2	3	1	225	309	323	632	98	287	24	10	285	83	-6	+0	-2	+3	+7	0.2
2038	33	MLB CTX	LAD	62%	310	273	60	8	1	5	32	77	2	3	1	220	306	311	618	92	283	25	10	279	79	-8	+0	-3	+3	+7	-0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	3593	3172	736	100	12	69	365	846	23	58	24	232	316	336	652	104	293	24	10	292	83	-51	+2	-9	+38	+78	6.0
/ 162G	—	A+C		—	650	574	132	18	2	12	66	153	4	10	4	230	314	331	645	101	291	24	10	292	83	-9	+0	-2	+7	+14	1.1
Career	—	MLE		—	7684	6776	1553	207	35	128	775	1804	58	134	61	229	314	327	640	98	291	23	10	291	83	-95	+3	-15	+71	+144	10.9
/ 162G	—	MLE		—	650	573	132	18	3	11	66	153	5	11	5	230	315	330	645	99	293	24	10	291	83	-9	+0	-1	+7	+14	1.1

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Freddy Galvislast yr '21 career totals — 10 seasons, 4,238 PA	6.4	4,238	109	57	246	292	387	+42	+68	18.0	17.6
/162	664	17	9	+6.6	+10.6	2.8	pk7: 17
#2John Bucklast yr '14 career totals — 11 seasons, 4,009 PA	6.0	4,009	134	6	234	301	398	+72	+7	16.9	15.7
/162	664	22	1	+11.9	+1.2	2.8	pk7: 14
#3Zack Cozartlast yr '19 career totals — 8 seasons, 3,350 PA	5.0	3,350	85	21	246	300	398	+33	+38	14.2	14.8
/162	664	17	4	+6.6	+7.6	2.8	pk7: 15
#4Khalil Greenelast yr '09 career totals — 7 seasons, 2,835 PA	4.3	2,835	90	25	245	302	422	+30	+14	13.0	13.0
/162	664	21	6	+7.1	+3.2	3.0	pk7: 13
#5Bobby 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
#6Danny 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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 6 projected seasons	5.4	3,594	67	57	235	315	340	+39	+18	8.7	7.6
/162	664	12	11	+7.1	+3.3	1.6	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
Eduardo Guerrero (OGILVIE)	21	40	25	45	60	221/301/286	65	296	2	8	25%	10%	71	-0.4	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Juan Mosquera 2009 · A	21	43	33→30	46→55	52	197/290/240	43	280	1	14	27%	10%	57	-1.8	202/267/260	58	263	3	9	22%	8%	51	-2.2	183/242/211	28	222	0	9	16%	7%	28	-1.0
✕Noe Becerra 2009 · AAA	22	42	37→30	44→40	47	201/265/269	68	260	5	7	24%	8%	53	-2.1	228/286/313	85	278	7	7	19%	7%	71	-0.8	282/332/341	59	319	2	0	12%	6%	93	+0.3
✕Shawn Zarraga 2010 · A	21	44	36→40	48→45	47	207/285/272	64	289	4	5	28%	8%	62	-1.4	235/300/323	88	304	6	8	23%	6%	79	-0.2	277/346/357	80	319	4	2	13%	7%	103	+0.5
✕Terry Serrano 2008 · A	21	41	35→30	46→55	49	191/267/245	53	257	2	13	25%	9%	49	-2.4	202/275/269	67	295	3	16	29%	9%	57	-1.8	195/275/262	67	298	2	22	32%	10%	52	-0.8
✕Yonathan Mendoza 2015 · A	21	47	35→30	46→45	49	220/283/279	59	274	2	8	20%	8%	61	-1.5	242/293/303	61	291	3	6	17%	6%	71	-0.8	252/302/305	52	300	3	5	16%	6%	72	-0.4
✕Deivi Estrada 2021 · A	20	46	36→30	45→50	50	213/291/275	62	281	3	9	23%	9%	65	-1.2	190/251/259	69	327	4	8	40%	7%	45	-2.7	144/186/202	58	310	3	4	52%	4%	5	-1.1
✕Kelvin Alarcon 2019 · A	20	43	35→30	48→55	51	200/292/258	58	284	3	8	28%	11%	62	-1.4	210/273/275	65	326	3	8	33%	7%	57	-1.8	203/265/239	35	320	0	8	34%	8%	43	-0.6
✕Jeremy Arocho 2021 · A	22	48→45	36→30	48→60	47	224/285/296	72	288	3	10	22%	7%	66	-1.1	229/326/283	54	319	2	26	25%	12%	80	-0.2	223/334/268	45	305	1	34	23%	14%	77	-0.2
✕Dalfis Ortiz 2013 · A	21	46	36→45	43→55	49	213/290/277	64	302	3	10	28%	10%	64	-1.3	219/279/302	83	272	3	14	19%	8%	65	-1.2	253/308/364	110	303	2	18	16%	7%	91	+0.2
✕Carlos Alvarez 2008 · A	22	44	36→40	49→45	49	204/285/270	66	265	2	8	22%	8%	61	-1.5	227/306/316	89	269	4	8	16%	9%	80	-0.2	231/320/325	95	269	5	9	15%	9%	85	+0.1
✕Adderly Rosa 2012 · A	21	44	35→40	48→50	53	203/291/265	62	264	3	14	22%	10%	63	-1.4	199/269/262	63	271	3	11	25%	8%	53	-2.1	169/208/202	33	225	0	4	24%	5%	11	-1.1
✕Elvis Perez 2017 · A	21	47	36→30	46→45	45	220/278/291	71	289	2	7	24%	7%	62	-1.4	201/248/281	80	284	5	5	29%	6%	49	-2.4	178/210/273	95	240	9	2	30%	4%	30	-1.2
✕Melvin Jimenez 2017 · A	21	47	34→30	48→45	49	219/280/274	54	264	1	8	17%	7%	59	-1.7	220/280/275	55	266	2	8	17%	8%	59	-1.6	229/293/248	19	262	0	9	12%	8%	57	-0.5
✕Gustavo Omana 2007 · A	21	44	35→30	46→45	45	206/260/260	55	257	2	5	20%	6%	49	-2.4	229/278/299	70	274	4	4	17%	5%	64	-1.3	261/301/322	61	294	4	0	12%	4%	79	-0.1
✕Omar Casamayor 2007 · A	20	47	35→40	46→55	48	220/283/278	59	268	2	6	18%	7%	62	-1.4	236/287/302	66	283	2	12	16%	5%	68	-1.0	242/288/300	58	293	2	14	17%	4%	64	-0.5
✕Josh Johnson 2007 · A	21	46→49	37→45	49→50	57	215/306/291	76	273	4	11	21%	11%	74	-0.5	220/302/287	67	289	3	10	22%	10%	72	-0.7	244/312/343	100	289	8	16	17%	9%	85	+0.1
✕Anneury Peguero 2008 · A	21	48	35→30	48→50	51	224/298/278	54	280	2	11	20%	8%	68	-1.0	205/282/270	65	269	4	12	23%	9%	60	-1.6	150/247/186	36	193	3	18	22%	10%	27	-1.1
✕Adrian Abreu 2012 · A	21	39	38→40	47→55	47	190/263/273	82	247	5	9	24%	8%	53	-2.1	212/292/300	88	256	8	17	19%	9%	71	-0.8	209/299/290	80	241	9	25	16%	10%	70	-0.3
✕Richard Rodriguez 2014 · A	21	42	33→30	48→50	48	196/255/237	41	245	1	14	20%	7%	42	-2.9	237/286/279	42	293	1	10	18%	6%	61	-1.5	240/292/258	18	289	0	11	16%	7%	58	-0.6
✕David Gonzalez 2015 · A	21	47→44	36→30	46→45	48	218/276/282	63	266	3	9	18%	7%	59	-1.6	203/253/264	61	251	3	9	19%	6%	47	-2.6	191/241/241	51	233	2	9	18%	6%	34	-2.2

Career Stats + Projections

Career Comps

Career Path Comps