Yorfran Medina — OGILVIE

Yorfran MedinaOF DSL LAD Mega

Age 21 R/R 6'4" / 195 lbs ROK HR +8%BB -8% Svc 0.0 · Ctrl thru 2037

2026 FULL-SEASON PROJECTIONpark-neutral Marcel · 75 proj PA

wRC+†71

AVG/OBP/SLG.192 / .286 / .304

PA6

HR0

K%33

BB%9

ISO112

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit-$3M 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	—	—	—
2033	Pre-Arb	$1.0M	—	—	—
2034	Pre-Arb	$1.0M	—	—	—
2035	Arb-1	$0.2M	—	—	—
2036	Ext	beyond projection horizon · no WAR estimate
2037	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$-0.6M	+$0.0M

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 Bautista	—	83	72	13	3	0	2	6	26	5	1	2	181	289	306	595	125	250	31	7	278	75	-3	-1	—	—	+2	-0.1
2023	18	ROK	DSL LAD Bautista	—	106	63	17	8	1	5	24	22	16	1	0	270	553	667	1.220	397	308	21	23	505	228	+16	+0	—	—	+2	1.9
2024	19	ROK	DSL LAD Mega	—	159	115	24	5	0	5	28	53	13	2	1	209	417	383	799	174	317	33	18	368	135	+7	+0	—	—	+3	1.0
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2022	17	ROK MLE	DSL LAD Bautista	—	83	74	9	2	0	1	4	37	5	1	2	122	217	189	406	68	200	45	5	184	11	-9	-1	—	—	+2	-0.8
2023	18	ROK MLE	DSL LAD Bautista	—	106	72	14	7	1	3	15	32	16	1	0	194	437	444	881	250	222	30	14	368	135	+4	+0	—	—	+2	0.7
2024	19	ROK MLE	DSL LAD Mega	—	159	126	16	3	0	3	17	77	13	2	1	127	295	222	517	95	240	48	11	242	50	-9	+0	—	—	+3	-0.6
2022	17	ROK MLE	DSL LAD Bautista	—	83	74	9	2	0	1	4	37	5	1	2	122	217	189	406	68	222	45	5	184	11	—	—	—	—	—	—
2022	17	ROK RAW	DSL LAD Bautista	—	83	72	13	3	0	2	6	26	5	1	2	181	289	306	595	125	250	31	7	278	11	—	—	—	—	—	—
2023	18	ROK MLE	DSL LAD Bautista	—	106	72	14	7	1	3	15	32	16	1	0	194	437	444	881	250	275	30	14	368	135	—	—	—	—	—	—
2023	18	ROK RAW	DSL LAD Bautista	—	106	63	17	8	1	5	24	22	16	1	0	270	553	667	1.220	397	308	21	23	505	135	—	—	—	—	—	—
2024	19	ROK MLE	DSL LAD Mega	—	159	126	16	3	0	3	17	77	13	2	1	127	295	222	517	95	265	48	11	242	50	—	—	—	—	—	—
2024	19	ROK RAW	DSL LAD Mega	—	159	115	24	5	0	5	28	53	13	2	1	209	417	383	799	174	317	33	18	368	50	—	—	—	—	—	—
2022	17	ROK MLE	DSL LAD Bautista	—	83	74	9	2	0	1	4	37	5	1	2	122	217	189	406	68	200	45	5	184	11	—	—	—	—	—	—
2023	18	ROK MLE	DSL LAD Bautista	—	106	74	14	7	1	3	15	32	16	1	0	189	437	432	869	243	222	30	14	368	135	—	—	—	—	—	—
2024	19	ROK MLE	DSL LAD Mega	—	159	128	16	3	0	3	17	77	13	2	1	125	295	219	514	94	240	48	11	242	50	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	18	ROK MLE	DSL LAD Bautista	—	106	74	14	7	1	3	15	32	16	1	0	189	437	432	869	243	222	30	14	368	135	—	—	—	—	—	—
2024	19	ROK MLE	DSL LAD Mega	—	159	128	16	3	0	3	17	77	13	2	1	125	295	219	514	94	240	48	11	242	50	—	—	—	—	—	—
▸ 2026 season
2026	21	MLB MLE	LAD	0%	6	5	1	0	0	0	1	2	0	0	0	200	333	200	533		288	33	17	274	71	-0	+0	+0	-0	+0	-0.1
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	22	MLB MLE	LAD	34%	119	105	21	4	1	2	10	38	3	1	0	200	288	314	602	114	289	32	8	283	78	-3	+0	+0	-1	+3	-0.1
2028	23	MLB MLE	LAD	48%	255	224	47	9	2	6	22	80	7	3	1	210	300	348	649	138	291	31	9	289	82	-5	+0	+0	-2	+6	-0.1
2029	24	MLB MLE	LAD	53%	353	309	65	13	2	8	31	108	10	4	1	210	303	343	646	133	292	31	9	294	85	-6	+0	+0	-2	+8	-0.0
2030	25	MLB MLE	LAD	55%	414	364	78	16	3	10	36	126	11	5	2	214	304	357	661	143	292	30	9	296	86	-7	+0	+0	-2	+9	0.0
2031	26	MLB MLE	LAD	56%	451	397	85	17	3	11	39	137	12	5	2	214	304	355	659	141	292	30	9	297	87	-7	+0	+0	-3	+10	0.0
2032	27	MLB MLE	LAD	55%	470	412	89	18	3	12	42	143	13	5	2	216	308	362	670	146	291	30	9	297	87	-7	+0	+0	-3	+10	0.0
2033	28	MLB MLE	LAD	55%	478	419	89	18	3	12	43	147	13	5	2	212	305	356	661	143	291	31	9	296	87	-8	+0	-1	-3	+10	-0.1
2034	29	MLB MLE	LAD	53%	476	417	87	17	3	11	43	147	13	5	2	209	302	343	645	134	290	31	9	294	85	-8	+0	-1	-3	+10	-0.2
2035	30	MLB MLE	LAD	53%	470	413	86	17	3	11	42	146	12	4	1	208	300	344	644	136	288	31	9	291	83	-9	+0	-2	-3	+10	-0.4
2027	22	MLB CTX	LAD	34%	41	36	7	1	0	1	4	13	1	0	0	194	293	306	598	111	285	32	10	260	78	-1	+0	+0	-0	+1	-0.0
2028	23	MLB CTX	LAD	48%	124	109	22	4	1	3	11	39	3	1	0	202	293	339	632	138	286	31	9	267	82	-3	+0	+0	-1	+3	-0.1
2029	24	MLB CTX	LAD	53%	186	163	34	7	1	4	16	57	5	2	1	209	299	337	636	129	287	31	9	272	85	-3	+0	+0	-1	+4	-0.0
2030	25	MLB CTX	LAD	55%	227	199	42	8	1	6	20	69	6	3	1	211	302	352	654	141	287	30	9	275	86	-4	+0	+0	-1	+5	0.0
2031	26	MLB CTX	LAD	56%	251	220	46	9	1	6	22	76	7	3	1	209	301	341	642	132	287	30	9	276	87	-4	+0	+0	-2	+5	0.0
2032	27	MLB CTX	LAD	55%	259	227	47	9	1	7	23	79	7	3	1	207	300	348	648	141	287	31	9	276	87	-4	+0	+0	-2	+6	0.0
2033	28	MLB CTX	LAD	55%	261	229	48	9	1	7	23	80	7	3	1	210	301	349	651	140	286	31	9	275	87	-4	+0	-0	-2	+6	-0.0
2034	29	MLB CTX	LAD	53%	254	222	46	9	1	6	23	78	7	3	1	207	302	338	639	131	285	31	9	273	85	-4	+0	-1	-2	+6	-0.1
2035	30	MLB CTX	LAD	53%	247	216	45	9	1	6	22	77	7	2	1	208	302	343	645	134	284	31	9	271	83	-5	+0	-1	-1	+5	-0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1850	1621	337	65	8	46	164	568	50	20	7	208	300	343	643	135	287	31	9	273	84	-32	+1	-2	-11	+40	-0.4
/ 162G	—	A+C		—	650	570	119	23	3	16	58	200	18	7	2	209	302	344	646	135	289	31	9	273	84	-11	+0	-1	-4	+14	-0.1
Career	—	MLE		—	3840	3337	687	141	24	90	345	1220	128	41	16	206	304	343	648	138	291	32	9	292	84	-61	+2	-4	-21	+76	-0.9
/ 162G	—	MLE		—	650	565	116	24	4	15	58	207	22	7	3	205	304	342	645	136	291	32	9	292	84	-11	+0	-1	-4	+14	-0.2

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Michael Saunderslast yr '17 career totals — 8 seasons, 2,711 PA	4.1	2,711	81	55	233	305	399	-12	-13	4.1	4.5
/162	664	20	13	-2.9	-3.2	1.0	pk7: 5
#2Dustin Ackleylast yr '16 career totals — 6 seasons, 2,347 PA	3.5	2,347	46	31	241	304	367	-5	+7	3.8	3.8
/162	664	13	9	-1.3	+1.9	1.1	pk7: 4
#3Adam Rosaleslast yr '17 career totals — 9 seasons, 1,756 PA	2.6	1,756	47	16	227	293	367	+6	+8	3.0	3.5
/162	664	18	6	+2.4	+3.0	1.1	pk7: 4
#4Guillermo Heredialast yr '22 career totals — 6 seasons, 1,530 PA	2.3	1,530	25	6	231	311	345	+3	+17	3.5	3.5
/162	664	11	3	+1.2	+7.6	1.5	pk7: 3
#5Jake Cavelast yr '24 career totals — 7 seasons, 1,564 PA	2.4	1,564	45	13	236	292	400	-11	-6	1.3	1.3
/162	664	19	6	-4.5	-2.5	0.6	pk7: 1
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 6 projected seasons	2.9	1,924	45	21	211	299	347	-12	+0	0.9	0.9
/162	664	16	7	-4.0	+0.0	0.3	pk7: 1
#6Nick Senzellast yr '24 career totals — 6 seasons, 1,633 PA	2.5	1,633	40	33	232	299	363	+6	-14	0.9	0.9
/162	664	16	13	+2.4	-5.8	0.4	pk7: 1

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
Yorfran Medina (OGILVIE)	21	—	—	—	—	192/286/304	111	288	1	1	33%	9%	71	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Clint Frazier 2016 · A	21	44→46	44→55	47→50	40	213/274/332	119	314	11	9	34%	7%	71	-0.8	225/282/368	143	304	14	11	29%	7%	82	+0.0	235/306/410	175	299	20	6	27%	8%	98	+0.6
✕Clint Coulter 2014 · A	21	41→43	42→50	44→40	42	204/269/309	105	277	10	5	29%	7%	65	-1.2	212/285/346	134	271	14	4	26%	7%	79	-0.2	201/269/342	141	247	16	4	25%	5%	69	-0.3
✕Iverson Leonardo 2023 · A	21	37	44→50	49→50	40	187/257/301	114	274	12	9	35%	7%	58	-1.7	198/280/293	95	349	7	8	41%	9%	65	-1.2	152/277/229	77	359	3	4	50%	12%	49	-0.5
✕Felix Reyes 2022 · A	21	41→51	43→50	49→45	38	202/267/313	110	283	10	12	31%	5%	65	-1.2	202/243/314	112	256	13	7	26%	4%	55	-1.9	240/273/379	139	275	15	8	19%	4%	81	-0.0
✕Parker Meadows 2021 · A	21	39→47	41→55	46→55	42	195/250/286	91	268	9	9	30%	6%	51	-2.2	201/262/331	130	269	14	13	29%	7%	67	-1.1	222/289/387	165	276	18	21	26%	8%	87	+0.4
✕Jhostynxon Garcia 2023 · A	20	38→41	41→50	48→50	45	182/267/286	104	281	8	8	35%	9%	59	-1.7	201/262/332	131	290	13	10	34%	6%	67	-1.1	219/271/366	148	290	19	9	30%	5%	75	-0.3
✕Yunior Garcia 2022 · A	21	44→49	43→50	49→30	35	210/261/315	105	319	11	6	36%	5%	62	-1.4	221/270/342	121	315	12	3	32%	5%	72	-0.7	212/259/336	124	299	14	1	33%	4%	63	-0.6
●Koby Clemens 2008 · A	21	41→51	44→55	47→45	43	206/270/320	114	276	12	6	29%	7%	67	-1.1	222/289/373	151	304	15	4	30%	8%	86	+0.3	220/291/390	170	299	18	4	31%	8%	90	+0.5
✕Kevin Padlo 2017 · A	21	36→40	46→50	46→50	47	186/274/318	132	269	14	9	34%	10%	69	-0.9	187/270/320	133	275	13	8	34%	9%	68	-1.0	190/261/345	156	258	19	12	33%	8%	68	-0.7
✕Yu Chang 2017 · A	21	40→44	45→50	49→45	38	203/253/331	128	284	12	8	32%	6%	63	-1.3	200/259/336	136	279	14	8	32%	6%	67	-1.1	212/267/370	158	271	20	6	29%	6%	76	-0.2
✕Jai Miller 2006 · A	21	37→47	43→55	45→55	39	184/249/291	107	287	12	11	38%	8%	53	-2.1	199/266/303	104	314	10	16	37%	8%	61	-1.5	219/281/365	147	315	16	14	34%	7%	80	-0.1
✕Michael A. Taylor 2012 · A	21	39→49	44→55	49→60	36	196/239/313	117	273	11	12	32%	5%	53	-2.1	203/255/318	115	309	10	22	35%	6%	61	-1.5	240/298/383	143	310	19	14	28%	7%	90	+0.5
✕Jorge Alcantara 2013 · A	21	42	41→45	50	43	201/271/299	98	298	8	11	33%	8%	63	-1.4	193/263/287	94	294	6	14	34%	8%	57	-1.8	147/226/244	97	221	6	25	34%	8%	33	-1.0
✕Michael Chavis 2017 · A	21	37→46	44→60	46→45	35	192/239/307	116	281	12	6	36%	5%	53	-2.1	225/276/399	174	298	22	4	32%	5%	88	+0.5	231/287/428	196	298	27	3	31%	6%	96	+0.7
✕Tucker Mitchell 2022 · A	21	42	40→45	51→45	39	201/262/293	92	296	7	7	33%	6%	57	-1.8	195/269/306	111	299	13	8	37%	7%	65	-1.2	180/257/292	111	259	15	7	35%	7%	55	-0.8
✕Isiah Gilliam 2017 · A	21	39→48	44→55	47→55	37	198/244/313	116	278	12	5	33%	5%	55	-1.9	202/255/326	124	308	13	6	37%	6%	63	-1.4	219/301/387	168	339	20	19	38%	9%	91	+0.4
✕Rainel Rosario 2010 · A	21	40→50	40→50	43→50	38	190/255/286	96	302	6	8	37%	7%	54	-2.0	211/275/325	114	309	9	9	33%	7%	70	-0.9	249/305/384	135	283	16	6	18%	7%	91	+0.5
✕Luis Torrens 2016 · A	20	43→48	38→50	49→40	44	204/275/284	80	281	6	6	28%	7%	61	-1.5	210/273/293	83	267	6	4	22%	7%	62	-1.4	237/296/380	143	283	15	2	21%	6%	89	+0.2
✕Edgardo Baez 2006 · A	21	43→46	43→50	50	41	210/266/323	114	306	10	8	34%	7%	66	-1.1	218/270/333	115	309	11	7	31%	6%	70	-0.9	225/276/354	129	302	14	9	29%	6%	73	-0.4
●Trayce Thompson 2012 · A	21	35→45	48→60	45→50	36	186/243/331	145	276	16	6	38%	6%	60	-1.6	191/251/336	145	278	16	13	36%	6%	64	-1.3	206/295/413	207	291	28	7	37%	10%	97	+0.6

Career Stats + Projections

Career Comps

Career Path Comps