Eduardo Rojas — OGILVIE

Eduardo RojasC DSL LAD Mega

Age 19 S/R 5'11" / 163 lbs ROK HR +15%K -3% Svc 0.0 · Ctrl thru 2037 peak 3.5 · 2033

wRC+†79

AVG/OBP/SLG.221 / .295 / .339

PA126

HR2

K%26

BB%8

MLB%0%

Scouting · now → future

HIT

25↗50

PWR

30↗40

SPD

30→30

FLD

40↗55

EYE

64↘50

trajectory · 10 yrs

3.5peak

2033

Contract

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

Status MiLB

MLB Debut 2032

Service 0 yrs (est)

Team Control Through 2037

First FA Year 2038

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2032
2027	MiLB	still in minors · estimated debut 2032
2028	MiLB	still in minors · estimated debut 2032
2029	MiLB	still in minors · estimated debut 2032
2030	MiLB	still in minors · estimated debut 2032
2031	MiLB	still in minors · estimated debut 2032
2032	Pre-Arb	$0.9M	+3.4	$32M	+$32M
2033	Pre-Arb	$1.0M	+3.5	$34M	+$33M
2034	Pre-Arb	$1.0M	+3.5	$35M	+$34M
2035	Arb-1	$7M	+3.4	$35M	+$29M
2036	Arb-2	$10M	+3.2	$34M	+$24M
2037	Arb-3	$14M	+3.0	$33M	+$19M
Totals		$34M		$205M	+$171M

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
2024	17	ROK	DSL LAD Bautista	172	143	23	4	1	0	21	50	5	7	4	.161	.290	.203	.493	.042	.242	29	12	.229	33	-13	-0	+0	+3	+5	-0.5
2025	18	ROK	DSL LAD Mega	151	127	28	4	0	1	19	23	5	9	4	.220	.344	.276	.620	.055	.262	15	13	.281	73	-5	+0	+0	+3	+4	0.3
▸ 2026 Season
2026	19	MLB	LAD	126	114	25	5	1	2	10	33	1	2	0	.219	.288	.333	.621	.114	.289	26	8	.289	79	-3	+0	-0	+2	+4	0.3
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	20	MLB 11%	LAD	212	188	44	8	1	5	19	52	3	3	1	.234	.314	.367	.681	.133	.295	25	9	.309	94	-1	+0	-0	+4	+6	0.9
2028	21	MLB 28%	LAD	342	301	72	13	2	9	33	82	5	4	1	.239	.324	.385	.710	.146	.296	24	10	.317	101	+0	+0	-0	+6	+10	1.6
2029	22	MLB 48%	LAD	436	384	94	17	3	12	43	102	6	5	1	.245	.330	.398	.729	.154	.296	23	10	.324	106	+3	+1	-0	+8	+12	2.4
2030	23	MLB 65%	LAD	498	437	107	19	3	15	51	114	7	5	1	.245	.333	.405	.738	.160	.296	23	10	.329	110	+6	+1	-0	+9	+14	2.9
2031	24	MLB 82%	LAD	520	454	113	20	3	16	54	117	7	5	1	.249	.338	.412	.750	.163	.297	22	10	.333	113	+8	+1	-0	+9	+15	3.3
2032	25	MLB	LAD	520	452	113	20	3	16	56	116	7	4	1	.250	.342	.414	.755	.164	.297	22	11	.336	116	+9	+0	-0	+9	+15	3.4
2033	26	MLB	LAD	520	452	112	20	3	16	56	116	7	4	1	.248	.340	.412	.751	.164	.298	22	11	.338	117	+10	+0	-0	+9	+15	3.5
2034	27	MLB	LAD	520	451	112	20	3	16	57	117	7	4	0	.248	.342	.412	.754	.164	.298	22	11	.338	117	+10	+1	-0	+9	+15	3.5
2035	28	MLB	LAD	520	451	112	20	3	16	57	118	7	3	0	.248	.342	.412	.754	.164	.298	23	11	.337	116	+9	+1	-1	+9	+15	3.4
2036	29	MLB	LAD	520	450	112	20	3	16	58	119	7	3	0	.249	.344	.413	.757	.164	.297	23	11	.335	115	+9	+1	-2	+9	+15	3.2
2037	30	MLB	LAD	520	450	110	19	3	16	58	121	7	3	0	.244	.340	.407	.746	.162	.295	23	11	.332	112	+7	+1	-3	+9	+15	3.0
2038	31	MLB	LAD	504	436	105	18	3	15	56	119	7	2	0	.241	.337	.399	.736	.158	.294	24	11	.328	109	+5	+0	-3	+9	+14	2.6
2039	32	MLB	LAD	489	425	101	17	3	14	54	118	7	2	0	.238	.333	.391	.724	.153	.293	24	11	.323	106	+3	+0	-4	+9	+14	2.3
2040	33	MLB	LAD	452	393	91	16	2	12	50	112	6	1	0	.232	.327	.374	.701	.142	.291	25	11	.318	101	+1	+0	-5	+8	+13	1.8
2041	34	MLB	LAD	396	345	78	13	2	10	43	102	5	1	0	.226	.321	.362	.683	.136	.289	26	11	.311	96	-2	+0	-5	+7	+11	1.2
2042	35	MLB	LAD	337	293	65	11	2	8	37	90	4	1	0	.222	.317	.355	.672	.133	.287	27	11	.303	90	-4	+0	-6	+6	+10	0.6
2043	36	MLB	LAD	276	241	52	9	1	6	30	77	3	1	0	.216	.310	.336	.646	.120	.284	28	11	.295	84	-5	+0	-7	+5	+8	0.1
2044	37	MLB	LAD	214	186	38	6	1	4	23	62	3	1	0	.204	.302	.312	.614	.108	.280	29	11	.285	76	-6	+0	-7	+4	+6	-0.3
2045	38	MLB	LAD	154	135	27	4	1	3	16	45	2	1	0	.200	.294	.311	.605	.111	.275	29	10	.274	68	-6	+0	-8	+3	+4	-0.6
▸ Career Totals (MLE all levels + projections)
Career	—			8399	7308	1734	303	47	228	901	2005	118	71	15	.237	.331	.385	.716	.148	.294	24	11	.321	104	+36	+8	-54	+150	+238	38.6
/ 162G	—			650	566	134	23	4	18	70	155	9	5	1	.237	.330	.387	.717	.150	.293	24	11	.321	104	+3	+1	-4	+12	+18	3.0

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
2024	17	ROK	DSL LAD Bautista	172	128	29	5	2	0	36	34	5	7	4	.227	.414	.297	.711	.070	.302	20	21	.339	118	+3	-0	—	—	+5	0.8
2025	18	ROK	DSL LAD Mega	151	115	32	5	0	1	31	15	5	9	4	.278	.450	.348	.798	.070	.313	10	21	.380	149	+8	+0	—	—	+4	1.3

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 Rojas (OGILVIE)	19	25→50	30→40	30	50	.221/.295/.339	.118	.289	2	2	26%	8%	79	+0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
●Daniel Robertson 2014 · A	20	46→54	43→45	38→40	46	.227/.287/.337	.110	.280	10	4	22%	7%	74	-0.1	.243/.310/.355	.112	.303	9	3	22%	7%	89	+0.9	.234/.338/.350	.116	.305	12	4	25%	11%	96	+0.8
●Luis Campusano 2018 · A	19	43→53	41→50	42→30	44	.214/.269/.309	.096	.275	10	4	26%	6%	59	-1.1	.248/.300/.359	.111	.296	11	2	19%	6%	85	+0.7	.261/.327/.424	.162	.295	21	1	19%	8%	110	+1.4
●Adael Amador 2022 · A	19	45→54	41→50	45→55	47	.219/.281/.317	.098	.274	8	11	23%	8%	66	-0.6	.241/.317/.373	.132	.280	15	17	19%	9%	97	+1.5	.233/.312/.369	.136	.267	17	23	19%	9%	90	+0.8
●Jeimer Candelario 2013 · A	19	50→55	40→60	44→45	52	.240/.311/.338	.098	.300	7	5	22%	9%	85	+0.7	.211/.268/.326	.115	.261	10	2	22%	7%	63	-0.8	.247/.323/.429	.182	.296	19	3	22%	9%	111	+2.3
●Victor Caratini 2014 · A	20	48→57	38→50	42→40	48	.220/.300/.311	.091	.316	3	3	29%	9%	73	-0.1	.234/.293/.331	.097	.306	5	2	24%	7%	75	-0.0	.267/.326/.389	.121	.329	10	1	21%	7%	102	+1.3
✕Yonatan Henriquez 2023 · A	18	45→48	40→45	43→55	45	.209/.292/.297	.088	.310	7	9	32%	8%	67	-0.5	.198/.280/.275	.077	.287	5	14	30%	9%	56	-1.3	.204/.287/.292	.088	.279	6	20	27%	10%	60	-0.5
●Mark Vientos 2019 · A	19	42→50	45→60	43→30	45	.215/.274/.337	.122	.275	14	3	27%	7%	69	-0.4	.206/.251/.346	.140	.279	17	2	32%	5%	62	-0.9	.246/.306/.451	.204	.321	28	0	31%	7%	109	+2.0
✕Elias Díaz 2010 · A	19	42→52	40→50	43→45	44	.205/.267/.300	.095	.269	8	5	26%	7%	56	-1.3	.185/.233/.263	.078	.242	5	4	25%	5%	31	-3.0	.253/.312/.392	.139	.280	17	0	16%	7%	96	+0.8
✕Victor Heredia 2019 · A	19	47	44→50	42→30	40	.230/.273/.349	.119	.292	11	4	25%	4%	71	-0.3	.214/.267/.303	.089	.290	7	4	27%	6%	56	-1.3	.176/.240/.214	.038	.249	3	2	28%	6%	21	-1.0
✕Luis Alvarez 2009 · A	19	47	43→45	44→45	48	.230/.303/.339	.110	.271	10	5	19%	7%	82	+0.5	.225/.291/.326	.101	.280	9	5	22%	6%	73	-0.1	.212/.264/.322	.111	.252	13	1	21%	4%	57	-0.3
●Moisés Ballesteros 2023 · A	19	43→53	46→50	46→40	47	.216/.283/.346	.130	.273	14	5	26%	8%	75	-0.0	.241/.299/.377	.136	.292	16	4	22%	7%	90	+1.0	.259/.317/.396	.137	.305	16	3	20%	7%	100	+1.5
●Tyler Stephenson 2016 · A	19	44→54	37→50	42→30	42	.208/.264/.281	.073	.290	3	4	28%	6%	50	-1.8	.207/.268/.296	.089	.292	7	3	29%	7%	55	-1.4	.253/.327/.399	.146	.323	16	1	25%	9%	102	+1.3
✕Amadeo Zazueta 2006 · A	20	45→55	45	41→50	44	.223/.269/.352	.130	.262	12	5	20%	6%	70	-0.3	.209/.257/.317	.108	.263	9	5	23%	6%	56	-1.3	.285/.316/.382	.096	.311	8	10	11%	3%	94	+1.0
✕Randy Florentino 2019 · A	19	46	44→50	45	51	.220/.307/.353	.132	.309	10	8	30%	11%	87	+0.8	.194/.270/.290	.096	.293	8	5	33%	9%	56	-1.3	.183/.230/.260	.077	.238	8	4	26%	5%	28	-1.0
✕Alexander Campos 2018 · A	18	46	37→40	40→45	50	.215/.291/.285	.070	.280	4	8	23%	9%	63	-0.9	.194/.266/.263	.069	.302	4	9	34%	8%	46	-2.0	.211/.309/.291	.080	.290	8	4	27%	11%	71	-0.1
●Ryan McMahon 2014 · A	19	46→56	48→55	42→45	40	.227/.283/.373	.146	.325	15	6	34%	7%	82	+0.5	.215/.270/.360	.145	.319	14	6	35%	6%	73	-0.1	.230/.314/.391	.161	.298	19	6	28%	10%	98	+1.6
●Taylor Green 2008 · A	21	47→55	44→50	36→30	47	.234/.290/.354	.120	.275	12	2	20%	7%	79	+0.3	.242/.300/.369	.127	.278	14	3	18%	7%	88	+0.9	.245/.302/.390	.145	.278	15	0	17%	7%	94	+1.0
✕Leopoldo Correa 2012 · A	20	44	41→45	40→30	48	.215/.280/.316	.100	.258	8	3	20%	7%	66	-0.6	.209/.264/.290	.081	.271	5	3	24%	6%	52	-1.6	.185/.234/.237	.052	.251	2	1	26%	5%	21	-0.8
●Edgar Quero 2022 · A	19	44→54	43→50	48→40	45	.202/.300/.317	.115	.331	10	6	38%	10%	76	+0.1	.235/.325/.382	.147	.300	16	5	25%	10%	103	+1.9	.239/.326/.387	.148	.293	17	4	23%	9%	102	+1.4
✕Manuel Joseph 2013 · A	19	46	40→45	44→50	45	.221/.275/.318	.097	.272	8	8	21%	6%	63	-0.8	.243/.298/.349	.106	.288	8	15	18%	6%	82	+0.5	.263/.321/.381	.118	.302	10	21	15%	5%	101	+0.8

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)