Eduardo Guerrero

Eduardo GuerreroSS Great Lakes Loons

Age 21 S/R 6'2" / 165 lbs A+ HR +15%K -3% Svc 0.0 · Ctrl thru 2035 peak 2.4 · 2031

wRC+†77

AVG/OBP/SLG.211 / .305 / .290

PA320

HR3

SB7

K%23

BB%11

MLB%0%

Scouting · now → future

HIT

40→40

PWR

25→25

SPD

45→45

EYE

62↘60

trajectory · 10 yrs

2.3peak

2031

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	Arb-2	$0.9M	+2.2	$20M	+$19M
2031	Arb-3	$0.9M	+2.4	$22M	+$21M
2032	Ext / FA-deal	$0.9M	+2.4	$23M	+$22M
2033	Ext / FA-deal	$4M	+2.2	$22M	+$17M
2034	Ext / FA-deal	$7M	+2.0	$20M	+$14M
2035	Ext / FA-deal	$8M	+1.7	$18M	+$9M
Totals		$22M		$125M	+$102M

Career Projections (MLE)

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	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
2022	17	ROK	DSL LAD Mega	202	182	44	3	0	1	13	49	3	6	4	.242	.303	.275	.578	.033	.316	24	6	.256	54	-10	-0	+0	+2	+6	-0.3
2023	18	ROK	DSL LAD Mega	184	170	31	8	2	0	10	36	1	4	3	.182	.232	.253	.485	.071	.226	20	5	.220	27	-15	-0	+0	+2	+5	-0.9
2024	19	ROK	2 teams	259	221	42	3	3	0	26	73	6	9	1	.190	.292	.231	.523	.041	.273	28	10	.238	40	-18	+1	+0	+3	+7	-0.6
2025	20	A	3 teams	405	343	63	6	3	3	51	92	5	8	6	.184	.298	.245	.543	.061	.239	23	13	.249	49	-24	-1	+0	+4	+11	-0.9
▸ 2026 Season (actual · ROS · total)
2026	21	A+	Great Lakes Loons	46	41	11	2	0	0	5	12	0	2	1	.268	.348	.317	.665	.049	.379	26	11	.307	93	-0	+0	+0	+0	+1	0.1
ROS	21	MLB	LAD	274	240	52	8	2	2	30	65	2	5	2	.217	.309	.292	.600	.075	.286	24	11	.282	74	-8	+0	+0	+3	+8	0.3
TOT	21	MLB	LAD	320	281	63	10	2	2	35	77	2	7	3	.224	.314	.295	.610	.071	.300	24	11	.285	77	-8	+0	+0	+3	+9	0.4
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	22	MLB 11%	LAD	480	418	94	14	3	6	54	105	5	9	4	.225	.321	.316	.637	.091	.285	22	11	.294	83	-9	+0	+0	+5	+14	1.0
2028	23	MLB 28%	LAD	528	458	106	16	3	9	60	113	5	10	4	.231	.327	.338	.665	.107	.286	21	11	.304	91	-6	+0	+0	+6	+15	1.6
2029	24	MLB 45%	LAD	559	485	114	18	3	10	64	118	5	10	4	.235	.330	.346	.677	.111	.287	21	11	.310	95	-3	+0	+0	+6	+16	2.0
2030	25	MLB 60%	LAD	576	498	117	18	3	11	67	121	6	10	4	.235	.333	.349	.682	.114	.288	21	12	.314	98	-1	+0	+0	+6	+16	2.2
2031	26	MLB 78%	LAD	584	504	120	19	3	12	69	123	6	10	4	.238	.337	.359	.696	.121	.289	21	12	.316	100	-0	+0	+0	+6	+17	2.4
2032	27	MLB 92%	LAD	584	503	119	18	3	12	70	124	6	10	4	.237	.337	.356	.693	.119	.289	21	12	.316	100	-0	+0	+0	+6	+17	2.4
2033	28	MLB	LAD	580	499	118	18	3	12	70	124	6	9	4	.236	.337	.357	.694	.120	.288	21	12	.315	99	-1	+0	-1	+6	+16	2.2
2034	29	MLB	LAD	570	490	115	18	3	11	69	123	6	8	3	.235	.336	.351	.687	.116	.287	22	12	.313	97	-2	+0	-1	+6	+16	2.0
2035	30	MLB	LAD	559	481	112	17	3	11	68	123	5	7	3	.233	.334	.349	.683	.116	.286	22	12	.309	95	-3	+0	-2	+6	+16	1.7
2036	31	MLB	LAD	545	469	107	16	3	10	66	122	5	5	2	.228	.330	.339	.669	.111	.285	22	12	.306	92	-5	+0	-3	+6	+15	1.4
2037	32	MLB	LAD	527	453	102	15	3	9	64	121	5	4	2	.225	.328	.331	.659	.106	.283	23	12	.301	89	-7	+0	-4	+6	+15	1.0
2038	33	MLB	LAD	497	430	94	14	2	8	60	117	4	3	2	.219	.320	.316	.636	.098	.282	24	12	.296	85	-9	-0	-4	+5	+14	0.6
2039	34	MLB	LAD	451	390	84	12	2	7	54	110	4	3	3	.215	.317	.310	.627	.095	.280	24	12	.290	80	-10	-1	-5	+5	+13	0.2
2040	35	MLB	LAD	396	343	72	10	2	5	47	101	3	3	3	.210	.310	.294	.605	.085	.278	26	12	.283	74	-11	-1	-6	+4	+11	-0.2
2041	36	MLB	LAD	336	291	59	8	2	4	39	89	3	3	3	.203	.303	.285	.589	.082	.276	26	12	.274	68	-12	-1	-6	+4	+10	-0.6
▸ Career Totals (MLE all levels + projections)
Career	—			9096	7868	1765	259	51	143	1051	2049	91	136	65	.224	.323	.325	.647	.100	.283	23	12	.296	85	-154	+1	-31	+97	+258	17.5
/ 162G	—			650	562	127	19	4	10	75	146	7	10	5	.226	.325	.327	.652	.101	.285	22	12	.296	85	-11	+0	-2	+7	+18	1.2

Historical Stats — Raw (Per Stint)

Actual MLB + MiLB stats as they happened, one row per stint at each level. Use this to see what really got recorded; the table above shows MLB-equivalent translations + projections.

Year	Age	Lvl	Team	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
2022	17	ROK	DSL LAD Mega	202	172	51	4	0	1	23	32	3	6	4	.297	.389	.337	.726	.041	.350	16	11	.332	112	+3	-0	—	—	+6	0.8
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	—	—	+5	0.5
2024	19	A	Rancho Cucamonga Quakes	90	77	15	1	0	0	12	22	0	3	1	.195	.303	.208	.511	.013	.268	24	13	.248	48	-5	+0	—	—	+3	-0.3
2024	19	ROK	ACL Dodgers	169	128	33	3	3	0	30	29	6	6	0	.258	.421	.328	.749	.070	.317	17	18	.346	123	+4	+1	—	—	+5	1.1
2025	20	AA	Tulsa Drillers	53	45	9	0	0	0	7	13	0	0	1	.200	.308	.200	.508	.000	.281	25	13	.246	46	-3	-0	—	—	+2	-0.2
2025	20	A+	Great Lakes Loons	22	21	3	0	1	0	1	4	0	0	0	.143	.182	.238	.420	.095	.176	18	5	.187	2	-2	+0	—	—	+1	-0.2
2025	20	A	Rancho Cucamonga Quakes	330	257	57	8	3	3	63	51	5	8	5	.222	.385	.311	.696	.089	.262	15	19	.327	108	+3	-0	—	—	+9	1.2

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
Eduardo Guerrero (OGILVIE)	21	40	25	45	60	.211/.305/.290	.080	.276	3	5	23%	11%	71	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Shawn Zarraga 2010 · A	21	45	36→40	48→45	47	.210/.288/.277	.068	.290	4	5	27%	8%	59	-1.1	.233/.300/.320	.087	.305	6	8	24%	7%	76	+0.0	.272/.340/.355	.083	.316	4	2	14%	7%	101	+0.6
✕Noe Becerra 2008 · AAA	21	47	41→30	46→40	48	.228/.290/.329	.101	.275	8	9	20%	7%	73	-0.1	.209/.269/.288	.079	.267	7	8	23%	7%	53	-1.5	.224/.278/.263	.039	.276	2	1	18%	6%	48	-0.5
✕Josh Johnson 2007 · A	21	46→49	37→45	49→50	57	.216/.307/.293	.078	.271	4	11	21%	11%	72	-0.2	.219/.303/.287	.068	.286	3	10	22%	10%	68	-0.5	.247/.316/.352	.105	.295	9	16	18%	9%	86	+0.5
✕Maick Collado 2023 · A	20	44	39→30	46→45	51	.211/.292/.295	.085	.267	6	5	22%	9%	66	-0.6	.217/.288/.288	.071	.274	5	7	21%	9%	62	-0.9	.209/.279/.272	.063	.258	5	5	20%	8%	54	-0.8
✕Jeremy Arocho 2021 · A	22	48→43	36→30	47→60	47	.226/.287/.294	.067	.288	2	10	21%	7%	62	-0.9	.230/.323/.285	.055	.320	2	26	25%	12%	76	+0.1	.224/.333/.269	.045	.305	1	34	23%	14%	74	-0.0
✕Jose Lobatón 2006 · A	21	45	39→45	50→30	46	.215/.277/.302	.088	.284	6	8	25%	8%	60	-1.0	.215/.286/.335	.120	.300	12	3	30%	9%	73	-0.1	.241/.325/.370	.129	.305	12	0	23%	11%	94	+0.6
✕Deivi Estrada 2022 · A	21	46	36→30	46→50	47	.212/.287/.278	.066	.295	3	8	27%	9%	59	-1.1	.185/.242/.255	.070	.336	4	8	43%	6%	33	-2.9	.145/.187/.204	.059	.312	3	4	52%	4%	-7	-1.2
●Leo Rivas 2019 · A	21	44→54	37→40	52→65	51	.204/.293/.279	.075	.289	4	14	28%	10%	62	-0.9	.196/.276/.281	.085	.293	6	9	32%	9%	56	-1.3	.238/.354/.331	.093	.320	9	44	25%	14%	100	+1.2
✕Dalfis Ortiz 2013 · A	21	46	36→45	44→55	49	.214/.289/.280	.066	.303	3	9	28%	9%	60	-1.0	.221/.281/.303	.082	.276	3	14	19%	8%	62	-0.9	.253/.308/.364	.110	.303	2	18	16%	7%	89	+0.3
✕Juan Mosquera 2009 · A	21	43	33→30	46→55	51	.196/.288/.239	.043	.279	1	15	28%	10%	50	-1.7	.201/.268/.256	.055	.262	2	9	22%	8%	45	-2.1	.183/.242/.211	.028	.222	0	9	16%	7%	19	-1.0
✕Andy Paz 2014 · A	21	46	37→40	42→45	48	.215/.279/.290	.075	.276	4	5	23%	8%	58	-1.2	.200/.260/.272	.072	.277	5	5	27%	7%	45	-2.1	.210/.261/.258	.048	.277	3	6	24%	6%	38	-0.7
●Niuman Romero 2006 · A	21	46→56	38→40	44→50	45	.218/.283/.297	.079	.293	4	7	26%	7%	62	-0.9	.213/.272/.275	.062	.278	3	7	23%	7%	51	-1.7	.286/.344/.376	.090	.337	5	9	16%	8%	104	+1.9
✕Carlos Alvarez 2008 · A	22	44	36→40	49→45	49	.206/.285/.274	.068	.268	3	8	23%	8%	57	-1.2	.226/.305/.314	.088	.269	4	8	16%	8%	76	+0.1	.231/.320/.325	.095	.269	5	9	15%	9%	83	+0.2
✕Elvis Perez 2017 · A	21	47	36→30	45	45	.221/.279/.291	.070	.288	2	7	23%	7%	58	-1.2	.203/.252/.282	.079	.280	5	6	28%	6%	44	-2.1	.182/.216/.277	.095	.240	9	2	28%	4%	25	-1.1
✕Nelson Quiroz 2022 · A	20	45	37→40	47→40	49	.211/.278/.287	.076	.265	3	4	21%	8%	57	-1.2	.229/.290/.332	.103	.270	9	4	18%	7%	74	-0.1	.264/.310/.326	.062	.295	2	0	11%	6%	75	+0.0
✕Wilfred Astudillo 2021 · A	21	45	38→30	49→45	48	.215/.276/.296	.081	.258	5	8	18%	7%	59	-1.1	.219/.263/.324	.105	.263	11	6	21%	5%	60	-1.0	.211/.250/.303	.093	.244	12	3	19%	4%	47	-0.6
✕Yohander Martinez 2023 · A	21	46	36→30	43→50	52	.214/.307/.273	.060	.278	5	8	23%	10%	68	-0.5	.200/.307/.267	.067	.284	5	7	28%	10%	67	-0.5	.167/.290/.223	.056	.250	4	5	30%	11%	49	-0.6
✕Kelvin Alarcon 2019 · A	20	43	35→30	48→55	53	.200/.296/.255	.055	.285	3	9	28%	11%	58	-1.2	.211/.275/.275	.064	.322	3	8	32%	8%	53	-1.5	.207/.267/.241	.035	.325	0	8	34%	7%	37	-0.6
✕Yonathan Mendoza 2015 · A	21	48	34→30	46→45	50	.222/.285/.277	.056	.272	2	9	18%	8%	57	-1.2	.242/.295/.305	.063	.289	3	6	16%	7%	68	-0.5	.255/.305/.308	.053	.301	3	5	15%	6%	71	-0.2
✕Sherman Lacrus 2016 · A	22	47	40→30	45→50	49	.225/.297/.314	.089	.263	7	7	17%	7%	73	-0.1	.204/.258/.288	.084	.268	6	8	25%	6%	49	-1.8	.183/.231/.254	.071	.236	5	9	24%	4%	26	-1.1

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)