Elias Medina — OGILVIE

Elias MedinaSS ACL Dodgers

Age 20 R/R 5'11" / 171 lbs ROK HR +15%K -3% Svc 0.0 · Ctrl thru 2037 peak 2.5 · 2033

wRC+†64

AVG/OBP/SLG.210 / .277 / .312

PA58

HR1

K%29

BB%7

MLB%0%

trajectory · 10 yrs

2.5peak

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	Ext / FA-deal	$0.9M	+2.4	$23M	+$22M
2033	Ext / FA-deal	$1.0M	+2.5	$25M	+$24M
2034	Ext / FA-deal	$1.0M	+2.4	$24M	+$23M
2035	Ext / FA-deal	$4M	+2.2	$23M	+$19M
2036	Ext / FA-deal	$6M	+1.9	$20M	+$14M
2037	Ext / FA-deal	$8M	+1.6	$18M	+$10M
Totals		$22M		$133M	+$111M

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
2023	17	ROK	DSL LAD Mega	176	157	32	6	2	3	9	55	4	16	5	.204	.265	.325	.590	.121	.276	31	5	.265	61	-8	+1	+0	+2	+5	0.0
2024	18	ROK	DSL LAD Mega	69	61	14	2	0	0	7	22	1	11	3	.230	.319	.262	.581	.033	.359	32	10	.272	66	-3	+1	+0	+1	+2	0.1
2025	19	ROK	ACL Dodgers	54	48	10	3	1	0	4	17	1	6	1	.208	.283	.312	.596	.104	.312	31	7	.280	72	-2	+1	+0	+1	+2	0.1
▸ 2026 Season
2026	20	MLB	LAD	58	53	11	2	0	1	4	17	1	1	0	.208	.276	.302	.578	.094	.289	29	7	.269	64	-2	+0	+0	+1	+2	0.0
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	21	MLB 11%	LAD	146	131	29	5	1	3	12	40	2	3	1	.221	.297	.344	.640	.122	.292	27	8	.291	81	-3	+0	+0	+2	+4	0.3
2028	22	MLB 28%	LAD	284	254	59	11	2	7	25	74	3	6	1	.232	.309	.374	.683	.142	.293	26	9	.304	91	-3	+1	+0	+3	+8	0.9
2029	23	MLB 48%	LAD	381	340	79	14	2	11	34	97	4	9	2	.232	.310	.382	.692	.150	.293	25	9	.312	97	-1	+1	+0	+4	+11	1.5
2030	24	MLB 62%	LAD	446	397	94	17	3	13	41	112	5	10	2	.237	.316	.393	.709	.156	.294	25	9	.317	101	+0	+1	+0	+5	+13	1.9
2031	25	MLB 80%	LAD	485	430	102	18	3	15	46	121	6	11	2	.237	.320	.398	.717	.160	.295	25	9	.320	103	+2	+1	+0	+5	+14	2.3
2032	26	MLB 94%	LAD	507	447	106	19	3	15	49	126	6	12	2	.237	.321	.394	.714	.157	.295	25	10	.322	104	+3	+2	+0	+5	+14	2.4
2033	27	MLB	LAD	516	455	109	20	3	16	50	129	6	12	2	.240	.323	.402	.725	.163	.295	25	10	.322	105	+3	+2	+0	+6	+15	2.5
2034	28	MLB	LAD	518	456	108	19	3	16	51	130	6	11	2	.237	.322	.397	.719	.160	.295	25	10	.321	104	+2	+1	-1	+6	+15	2.4
2035	29	MLB	LAD	512	450	106	19	3	15	51	130	6	10	1	.236	.321	.391	.713	.156	.294	25	10	.319	102	+1	+2	-1	+5	+15	2.2
2036	30	MLB	LAD	504	443	104	19	3	15	50	130	6	8	1	.235	.321	.393	.713	.158	.292	26	10	.316	100	-0	+1	-2	+5	+14	1.9
2037	31	MLB	LAD	492	435	100	18	3	14	49	129	5	6	0	.230	.315	.382	.697	.152	.291	26	10	.312	97	-2	+1	-3	+5	+14	1.6
2038	32	MLB	LAD	474	419	95	17	3	13	47	127	5	4	0	.227	.312	.375	.687	.148	.289	27	10	.307	93	-4	+1	-4	+5	+13	1.2
2039	33	MLB	LAD	445	393	87	15	2	12	44	122	5	2	0	.221	.308	.361	.669	.140	.288	27	10	.302	89	-6	+0	-4	+5	+13	0.8
2040	34	MLB	LAD	400	354	76	13	2	10	39	113	4	1	0	.215	.300	.347	.647	.133	.286	28	10	.295	84	-7	+0	-5	+4	+11	0.4
2041	35	MLB	LAD	346	307	65	11	2	8	33	101	3	0	0	.212	.294	.339	.633	.127	.284	29	10	.287	78	-9	+0	-6	+4	+10	-0.1
2042	36	MLB	LAD	288	256	53	9	2	6	27	87	3	0	0	.207	.290	.328	.618	.121	.281	30	9	.278	71	-9	+0	-6	+3	+8	-0.5
▸ Career Totals (MLE all levels + projections)
Career	—			7101	6286	1439	257	43	193	672	1879	82	139	25	.229	.312	.376	.687	.147	.293	26	9	.308	94	-48	+18	-31	+76	+201	22.0
/ 162G	—			650	575	133	24	4	18	62	172	8	13	2	.231	.315	.381	.696	.150	.296	26	10	.308	94	-4	+2	-3	+7	+18	2.0

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
2023	17	ROK	DSL LAD Mega	176	150	47	9	3	7	16	37	4	16	5	.313	.394	.553	.947	.240	.357	21	9	.400	164	+13	+1	—	—	+5	1.9
2024	18	ROK	DSL LAD Mega	69	56	18	3	0	0	12	15	1	11	3	.321	.449	.375	.824	.054	.439	22	17	.385	152	+4	+1	—	—	+2	0.7
2025	19	ROK	ACL Dodgers	54	46	16	6	2	0	6	12	1	6	1	.348	.434	.565	.999	.217	.457	22	11	.428	185	+5	+1	—	—	+2	0.8

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
Elias Medina (OGILVIE)	20	—	—	—	—	.210/.277/.312	.102	.289	1	1	29%	7%	64	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
●Derek Norris 2009 · A	20	40→50	42→55	49→50	43	.194/.269/.300	.106	.295	9	6	35%	9%	58	-1.2	.209/.301/.372	.163	.281	20	6	31%	11%	91	+1.1	.254/.332/.403	.149	.311	15	5	22%	10%	106	+1.6
●Alex Liddi 2009 · A	20	42→52	40→60	49→50	38	.202/.249/.300	.098	.290	7	9	32%	5%	48	-1.9	.240/.291/.399	.159	.335	16	7	32%	6%	92	+1.2	.241/.296/.424	.182	.336	20	5	33%	6%	99	+1.7
●Dilson Herrera 2014 · A	20	43→53	45→50	49→50	40	.213/.264/.339	.126	.281	12	11	28%	6%	65	-0.7	.248/.297/.383	.135	.313	14	13	24%	6%	90	+1.0	.257/.307/.397	.140	.313	15	13	22%	6%	94	+1.2
●Vaughn Grissom 2021 · A	20	44→54	39→50	51→55	44	.214/.271/.302	.088	.272	7	6	23%	6%	58	-1.2	.265/.329/.388	.123	.318	11	15	19%	7%	105	+2.1	.283/.348/.417	.134	.334	12	17	18%	7%	116	+2.4
✕Ceddanne Rafaela 2021 · A	20	41→50	42→55	52→55	41	.202/.253/.302	.099	.256	10	14	25%	5%	50	-1.7	.228/.267/.382	.154	.289	16	19	26%	4%	77	+0.1	.244/.283/.399	.155	.300	17	24	24%	4%	86	+0.7
✕Eddys Leonard 2021 · A	20	42→46	40→50	46→45	45	.200/.274/.295	.095	.288	7	9	31%	8%	59	-1.1	.227/.293/.378	.151	.302	17	5	29%	7%	89	+0.9	.224/.290/.376	.152	.290	17	4	28%	6%	83	+0.5
✕Thairo Estrada 2016 · A	20	44→54	39→50	48→55	41	.211/.264/.302	.090	.275	5	8	24%	5%	55	-1.4	.255/.297/.344	.089	.303	8	9	18%	5%	79	+0.3	.270/.326/.420	.150	.314	17	21	19%	5%	108	+1.8
✕David Bote 2013 · A	20	43→48	38→55	50→45	43	.200/.271/.286	.086	.293	4	8	31%	8%	54	-1.4	.190/.266/.272	.082	.263	5	6	28%	8%	50	-1.8	.234/.308/.397	.164	.298	19	6	27%	8%	95	+1.0
●Christopher Morel 2019 · A	20	38→46	41→60	46→50	45	.191/.255/.285	.094	.243	9	13	25%	7%	47	-1.9	.204/.250/.320	.116	.282	11	11	31%	5%	53	-1.5	.224/.302/.431	.208	.280	28	10	30%	9%	102	+1.8
●Lane Thomas 2016 · A	20	43→51	37→55	51→55	42	.200/.259/.277	.077	.294	3	9	32%	7%	46	-2.0	.194/.260/.302	.108	.313	10	13	38%	8%	54	-1.4	.248/.312/.427	.179	.308	21	13	25%	7%	107	+2.0
✕Jake Marisnick 2011 · A	20	43→53	41→60	55	41	.206/.266/.309	.103	.273	7	18	26%	6%	59	-1.1	.234/.289/.359	.125	.298	11	19	24%	5%	81	+0.4	.232/.296/.435	.203	.309	26	18	33%	6%	101	+0.9
✕Edmundo Sosa 2016 · A	20	45→50	41→55	49→50	44	.217/.269/.316	.099	.260	8	8	20%	5%	61	-1.0	.228/.265/.309	.081	.295	6	6	24%	4%	56	-1.3	.254/.298/.423	.169	.308	18	9	23%	4%	99	+0.8
✕Samad Taylor 2018 · A	20	45→53	37→50	51→65	41	.213/.268/.288	.076	.300	4	10	29%	6%	53	-1.5	.183/.255/.284	.101	.259	7	22	30%	8%	47	-1.9	.236/.312/.377	.141	.324	16	46	30%	9%	94	+0.8
●Ke'Bryan Hayes 2017 · A	20	45→54	39→50	46→50	42	.220/.270/.303	.083	.278	7	9	23%	5%	58	-1.2	.233/.289/.330	.097	.297	7	14	22%	7%	72	-0.2	.256/.313/.394	.138	.313	12	16	21%	7%	95	+1.2
✕Luis Torrens 2016 · A	20	42→49	38→55	49→30	44	.201/.271/.276	.075	.277	5	5	28%	7%	52	-1.6	.207/.270/.291	.084	.263	6	4	22%	7%	55	-1.4	.228/.285/.376	.148	.288	19	0	27%	7%	82	+0.3
●Peter Bourjos 2007 · A	20	45→55	41→55	52→60	36	.213/.257/.319	.106	.318	7	11	34%	5%	56	-1.3	.233/.274/.346	.113	.308	8	22	26%	5%	70	-0.3	.250/.299/.403	.153	.305	12	28	22%	5%	94	+1.2
●Austin Dean 2014 · A	20	41→51	40→55	45	45	.197/.269/.289	.093	.270	7	6	28%	8%	55	-1.4	.229/.274/.325	.096	.288	7	6	22%	5%	65	-0.7	.257/.302/.413	.156	.304	17	4	21%	5%	96	+1.1
✕Agustín Ramírez 2022 · A	20	37→45	43→55	44→50	39	.188/.245/.301	.113	.275	11	4	34%	6%	47	-1.9	.223/.286/.366	.143	.284	16	11	26%	8%	82	+0.5	.230/.293/.405	.176	.264	22	16	22%	7%	92	+1.1
●Tim Beckham 2010 · A	20	45→55	39→55	45→50	37	.214/.253/.301	.087	.296	5	8	29%	4%	50	-1.8	.226/.277/.320	.094	.317	7	12	29%	6%	65	-0.7	.248/.301/.421	.173	.319	22	4	28%	6%	100	+1.3
●Chun-Hsiu Chen 2010 · A	21	43→53	41→50	48→45	40	.209/.263/.306	.097	.302	8	6	32%	7%	55	-1.4	.250/.309/.388	.138	.334	12	4	27%	7%	96	+1.5	.256/.318/.393	.137	.347	12	4	28%	8%	99	+1.3

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)