Elias Medina — OGILVIE

Elias MedinaSS ACL Dodgers

Age 20 R/R 5'11" / 171 lbs ROK HR +8%BB -8% Svc 0.0 · Ctrl thru 2037

2026 ROS PROJECTION44 act + 5 ros · stats below = ROS only

showingROS

wRC+†65

AVG/OBP/SLG.200 / .200 / .200

PA5

HR0

K%40

BB%7

BABIP288

ISO102

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$15M ctrl surplus

Tools · Contract

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	+0.5	$1M	+$0.8M
2033	Pre-Arb	$1.0M	+0.5	$1M	+$0.7M
2034	Pre-Arb	$1.0M	+0.4	$0.9M	+$0.4M
2035	Arb-1	$2M	+0.3	$0.6M	+$0.0M (cut)
2036	Arb-2	$3M	+0.2	$0.4M	+$0.0M (cut)
2037	Arb-3	$2M	+0.1	$0.2M	+$0.0M (cut)
Totals		$3M		$4M	+$2M

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)
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	157	+12	+1	—	—	+4	1.7
2024	18	ROK	DSL LAD Mega	—	69	56	18	3	0	0	12	15	1	11	3	321	449	375	824	54	439	22	17	385	146	+4	+1	—	—	+1	0.6
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	176	+5	+1	—	—	+1	0.7
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2023	17	ROK MLE	DSL LAD Mega	—	176	156	33	6	2	4	10	55	4	16	5	212	276	353	629	141	266	31	6	272	70	-6	+1	—	—	+4	-0.1
2024	18	ROK MLE	DSL LAD Mega	—	69	61	14	2	0	0	7	22	1	11	3	230	319	262	581	33	359	32	10	271	70	-2	+1	—	—	+1	-0.0
2025	19	ROK MLE	ACL Dodgers	—	54	48	11	4	1	0	4	17	1	6	1	229	302	354	656	125	339	31	7	287	80	-1	+1	—	—	+1	0.1
2023	17	ROK MLE	DSL LAD Mega	—	176	156	33	6	2	4	10	55	4	16	5	212	276	353	629	141	282	31	6	272	70	—	—	—	—	—	—
2023	17	ROK RAW	DSL LAD Mega	—	176	150	47	9	3	7	16	37	4	16	5	313	394	553	947	240	357	21	9	400	70	—	—	—	—	—	—
2024	18	ROK MLE	DSL LAD Mega	—	69	61	14	2	0	0	7	22	1	11	3	230	319	262	581	33	359	32	10	271	70	—	—	—	—	—	—
2024	18	ROK RAW	DSL LAD Mega	—	69	56	18	3	0	0	12	15	1	11	3	321	449	375	824	54	439	22	17	385	70	—	—	—	—	—	—
2025	19	ROK MLE	ACL Dodgers	—	54	48	11	4	1	0	4	17	1	6	1	229	302	354	656	125	344	31	7	287	80	—	—	—	—	—	—
2025	19	ROK RAW	ACL Dodgers	—	54	46	16	6	2	0	6	12	1	6	1	348	434	565	999	217	457	22	11	428	80	—	—	—	—	—	—
2023	17	ROK MLE	DSL LAD Mega	—	176	160	33	6	2	4	10	55	4	16	5	206	276	344	620	138	266	31	6	272	70	—	—	—	—	—	—
2024	18	ROK MLE	DSL LAD Mega	—	69	61	14	2	0	0	7	22	1	11	3	230	319	262	581	33	359	32	10	271	70	—	—	—	—	—	—
2025	19	ROK MLE	ACL Dodgers	—	54	49	11	4	1	0	4	17	1	6	1	224	302	347	649	122	339	31	7	287	80	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	17	ROK MLE	DSL LAD Mega	—	176	160	33	6	2	4	10	55	4	16	5	206	276	344	620	138	266	31	6	272	70	—	—	—	—	—	—
2024	18	ROK MLE	DSL LAD Mega	—	69	61	14	2	0	0	7	22	1	11	3	230	319	262	581	33	359	32	10	271	70	—	—	—	—	—	—
2025	19	ROK MLE	ACL Dodgers	—	54	49	11	4	1	0	4	17	1	6	1	224	302	347	649	122	339	31	7	287	80	—	—	—	—	—	—
YTD	20	ROK MLE	LAD	—	44	42	8	2	0	2	1	24	1	0	2	190	227	381	608	190	375	55	2	230	42	-3	-1	+0	+0	+1	-0.2
▸ 2026 season
YTD	20	ROK RAW	LAD	—	44	42	13	4	0	3	1	17	1	0	2	310	341	619	960	310	455	39	2	415	42	—	—	—	—	—	—
ROS	20	ROK MLE	LAD	0%	5	5	1	0	0	0	0	2	0	0	0	200	200	200	400		293	40	0	265	65	-0	+0	+0	+0	+0	-0.0
TOT	20	ROK MLE	LAD	—	49	47	9	2	0	2	1	26	1	0	2	191	224	362	586	170	368	53	2	234	44	-3	-1	+0	+1	+1	-0.3
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	21	MLB MLE	LAD	34%	146	134	29	6	1	3	9	44	2	3	1	216	276	343	619	127	293	30	6	274	71	-5	+0	+0	+2	+3	-0.0
2028	22	MLB MLE	LAD	48%	284	260	57	11	2	6	19	83	3	6	2	219	280	346	626	127	294	29	7	282	77	-8	+0	+0	+3	+6	0.2
2029	23	MLB MLE	LAD	54%	381	347	78	15	3	9	26	109	5	8	2	225	288	363	651	138	294	29	7	287	81	-9	+1	+0	+4	+8	0.4
2030	24	MLB MLE	LAD	55%	446	407	91	17	3	11	31	127	5	9	3	224	287	361	648	138	295	28	7	291	83	-9	+1	+0	+5	+10	0.6
2031	25	MLB MLE	LAD	56%	485	442	99	19	3	12	34	138	6	10	3	224	288	362	650	138	295	28	7	293	84	-9	+1	+0	+5	+11	0.8
2032	26	MLB MLE	LAD	56%	507	461	105	20	4	13	35	144	6	10	3	228	291	373	664	145	295	28	7	294	85	-9	+1	+0	+5	+11	0.8
2033	27	MLB MLE	LAD	55%	516	468	106	20	4	13	37	147	6	10	3	226	292	370	661	143	295	28	7	294	85	-9	+1	+0	+6	+11	0.8
2034	28	MLB MLE	LAD	55%	518	470	105	20	3	13	37	148	6	10	3	223	288	362	650	138	295	29	7	293	84	-10	+1	-1	+6	+11	0.7
2035	29	MLB MLE	LAD	53%	512	464	104	20	3	13	37	147	6	9	3	224	290	364	654	140	294	29	7	291	83	-10	+1	-1	+5	+11	0.6
2036	30	MLB MLE	LAD	53%	504	457	100	19	3	12	36	146	6	8	2	219	285	352	637	133	293	29	7	289	82	-11	+1	-2	+5	+11	0.4
2037	31	MLB MLE	LAD	52%	492	447	97	18	3	12	36	144	6	7	2	217	284	351	635	134	291	29	7	285	79	-12	+1	-3	+5	+11	0.1
2038	32	MLB MLE	LAD	52%	474	431	92	17	3	11	34	141	6	5	2	213	280	343	624	130	288	30	7	280	75	-14	+0	-4	+5	+10	-0.2
2027	21	MLB CTX	LAD	34%	50	46	10	2	0	1	3	15	1	1	0	217	280	326	606	109	288	30	6	263	71	-2	+0	+0	+1	+1	0.0
2028	22	MLB CTX	LAD	48%	138	126	27	5	1	3	9	40	2	3	1	214	277	341	619	127	289	29	7	271	77	-4	+0	+0	+1	+3	0.1
2029	23	MLB CTX	LAD	54%	207	189	41	8	1	5	14	59	2	4	1	217	278	349	627	132	289	29	7	277	81	-5	+0	+0	+2	+4	0.2
2030	24	MLB CTX	LAD	55%	247	225	49	9	1	6	17	70	3	5	1	218	282	347	628	129	290	28	7	280	83	-5	+1	+0	+3	+5	0.4
2031	25	MLB CTX	LAD	56%	272	248	55	10	2	7	19	77	3	5	2	222	285	363	648	141	291	28	7	282	84	-5	+0	+0	+3	+6	0.4
2032	26	MLB CTX	LAD	56%	285	260	59	11	2	8	20	81	3	6	2	227	290	377	667	150	290	28	7	283	85	-5	+0	+0	+3	+6	0.5
2033	27	MLB CTX	LAD	55%	285	260	59	11	2	8	20	81	3	6	2	227	290	377	667	150	290	28	7	283	85	-5	+0	+0	+3	+6	0.5
2034	28	MLB CTX	LAD	55%	284	259	58	11	2	8	20	81	3	5	2	224	287	375	662	151	290	29	7	282	84	-5	+0	-0	+3	+6	0.4
2035	29	MLB CTX	LAD	53%	274	249	55	10	2	7	20	79	3	5	1	221	287	361	648	141	289	29	7	281	83	-5	+1	-1	+3	+6	0.3
2036	30	MLB CTX	LAD	53%	265	241	53	10	1	7	19	77	3	4	1	220	285	357	642	137	289	29	7	278	82	-6	+0	-1	+3	+6	0.2
2037	31	MLB CTX	LAD	52%	256	232	49	9	1	6	19	75	3	4	1	211	280	336	616	125	287	29	7	274	79	-6	+0	-1	+3	+6	0.1
2038	32	MLB CTX	LAD	52%	246	223	48	9	1	6	18	73	3	3	1	215	283	345	628	130	284	30	7	269	75	-7	+0	-2	+3	+5	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2809	2558	563	105	16	72	198	808	32	51	15	220	284	358	643	138	291	29	7	279	81	-61	+4	-6	+30	+61	2.9
/ 162G	—	A+C		—	650	592	131	24	4	17	46	187	7	12	3	221	285	361	647	140	292	29	7	279	81	-14	+1	-1	+7	+14	0.7
Career	—	MLE		—	5569	5058	1122	214	38	132	392	1614	69	128	38	222	287	357	644	136	296	29	7	288	81	-115	+7	-10	+56	+114	5.3
/ 162G	—	MLE		—	650	590	130	25	4	15	46	188	8	15	4	220	286	353	638	132	294	29	7	288	81	-14	+1	-1	+7	+14	0.7

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Bobby 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
#2Danny 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
#3Gordon Beckhamlast yr '19 career totals — 10 seasons, 3,764 PA	5.7	3,764	80	34	237	301	368	+13	+19	8.2	8.4
/162	664	14	6	+2.4	+3.4	1.4	pk7: 9
#4Ronny Cedenolast yr '13 career totals — 9 seasons, 2,783 PA	4.2	2,783	40	39	246	289	354	+28	+19	5.5	5.6
/162	664	10	9	+6.7	+4.5	1.3	pk7: 6
#5Yolmer Sánchezlast yr '19 career totals — 6 seasons, 2,438 PA	3.7	2,438	31	30	244	299	357	+9	+26	5.4	5.4
/162	664	8	8	+2.4	+7.2	1.5	pk7: 5
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 7 projected seasons	4.3	2,867	70	52	223	284	361	+31	+21	5.1	4.5
/162	664	16	12	+7.1	+4.9	1.2	pk7: 4
#6Adam Engellast yr '22 career totals — 6 seasons, 1,540 PA	2.3	1,540	30	47	225	280	350	+4	+33	4.1	4.1
/162	664	13	20	+1.8	+14.4	1.8	pk7: 4

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	—	—	—	—	207/267/316	109	293	1	1	31%	6%	65	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Luis Liberato 2016 · A	20	37→47	37→50	53→50	41	180/242/256	76	270	4	13	33%	7%	42	-2.9	209/260/327	118	304	9	6	32%	7%	64	-1.3	213/280/360	147	293	15	9	31%	8%	79	-0.1
✕Rymer Liriano 2011 · A	20	37→47	41→45	49→55	33	186/229/281	96	294	10	15	39%	5%	42	-2.9	235/283/354	119	322	10	26	29%	5%	79	-0.2	243/295/366	123	333	11	27	29%	6%	84	+0.2
✕Moisés Gómez 2018 · A	19	39→41	40→55	49→45	38	195/239/284	88	267	8	9	29%	5%	46	-2.6	195/243/328	133	308	14	4	39%	6%	59	-1.7	187/241/354	167	276	24	6	40%	6%	62	-1.0
✕Jerar Encarnacion 2017 · A	19	41→45	40→50	50→45	38	202/241/292	90	278	7	6	29%	5%	49	-2.4	190/233/287	97	311	9	5	40%	5%	45	-2.7	215/287/377	162	320	23	6	38%	8%	84	+0.1
✕Nelson Velázquez 2019 · A	20	39→38	41→60	50	32	183/235/276	93	326	10	9	45%	6%	43	-2.8	206/250/318	112	333	11	9	39%	5%	59	-1.7	201/271/385	185	259	25	12	32%	8%	82	-0.0
✕Stanley Martinez 2017 · A	20	40	38→45	48→50	45	192/266/269	77	269	5	10	29%	8%	54	-2.0	216/284/317	101	292	9	7	27%	7%	72	-0.7	213/282/313	100	281	9	5	26%	7%	69	-0.3
✕Narciso Crook 2016 · A	21	37→43	42→50	53→50	32	188/220/289	102	281	9	12	36%	4%	40	-3.1	199/245/307	108	298	10	10	35%	5%	54	-2.0	206/268/351	145	302	15	14	35%	6%	70	-0.6
✕Enger Jimenez 2015 · A	20	39	40	48→50	38	191/241/288	97	267	7	9	30%	5%	49	-2.4	214/267/304	90	282	5	10	24%	6%	61	-1.5	223/275/315	92	285	5	14	22%	5%	64	-0.6
●Moisés Sierra 2008 · A	19	37→47	41→50	49→50	37	186/237/281	95	256	9	10	30%	4%	46	-2.6	219/266/312	93	298	8	8	28%	4%	63	-1.4	249/315/369	120	307	12	15	22%	7%	92	+0.6
✕Óscar Mercado 2014 · A	19	38→48	37→50	52→60	40	182/239/254	73	261	3	13	30%	6%	40	-3.1	192/242/258	66	239	4	23	20%	5%	41	-3.0	235/299/388	153	272	15	22	19%	7%	91	+0.5
✕Juan Lagares 2008 · A	19	40→50	39→45	52→50	39	194/239/288	94	268	5	12	29%	5%	47	-2.6	218/247/301	83	286	5	12	25%	3%	52	-2.2	268/308/373	106	324	7	13	19%	4%	89	+0.3
✕George Feliz 2023 · A	20	36	40→50	54→45	36	177/235/269	91	291	8	13	40%	6%	42	-2.9	176/238/276	100	311	10	11	44%	6%	45	-2.7	164/227/275	111	272	14	9	43%	6%	39	-1.1
✕Rainel Rosario 2009 · A	20	36→46	41→50	45→50	39	175/248/271	96	286	8	9	39%	7%	49	-2.4	207/274/323	116	311	9	9	34%	7%	70	-0.9	249/305/384	135	283	16	6	18%	7%	91	+0.5
✕Jose Paniagua 2015 · A	21	38	40→50	50→55	42	189/249/288	99	268	7	12	31%	7%	52	-2.2	198/248/295	97	288	8	8	32%	6%	53	-2.1	179/215/276	97	256	10	2	33%	3%	32	-1.0
●Leandro Castro 2010 · A	21	41→51	39→50	49→50	40	203/246/289	86	258	7	13	24%	4%	50	-2.3	222/254/338	116	270	10	12	21%	3%	64	-1.3	244/286/386	143	268	16	11	16%	5%	85	+0.2
✕Albert Laboy 2007 · A	20	40→38	38→40	48→45	41	193/236/269	76	242	5	10	22%	5%	42	-2.9	216/262/306	90	258	9	7	19%	5%	60	-1.6	213/261/298	85	248	10	6	18%	5%	56	-1.0
✕Juan Silva 2011 · A	20	40→46	39→45	52→55	40	190/249/284	95	293	5	8	35%	7%	50	-2.3	212/282/311	99	311	8	13	32%	9%	70	-0.9	229/311/332	104	311	8	29	27%	10%	83	+0.1
●Trayce Thompson 2011 · A	20	36→46	43→60	48→50	33	181/232/293	112	299	10	9	42%	6%	47	-2.6	189/247/337	148	281	17	10	37%	6%	63	-1.4	206/295/413	207	291	28	7	37%	10%	97	+0.6
✕Israel Mota 2016 · A	20	40	40→45	48→50	37	197/242/286	89	284	7	9	32%	5%	48	-2.5	198/260/293	95	301	8	7	35%	6%	57	-1.8	139/226/244	105	204	11	5	36%	7%	34	-0.7
✕Luis Barrera 2015 · A	19	35→45	40→45	49→50	44	177/241/269	92	232	7	7	27%	7%	45	-2.7	205/249/284	79	288	4	8	29%	5%	50	-2.3	247/292/355	108	317	4	17	23%	5%	79	-0.1

Career Stats + Projections

Career Comps

Career Path Comps