Raymer Medina — OGILVIE

Raymer MedinaSS DSL Tampa Bay

Age 18 S/R 5'11" / 177 lbs ROK HR +6%H +4% Svc 0.0 · Ctrl thru 2037

2026 ROS PROJECTION241 act + 24 ros · stats below = ROS only

showingROS

wRC+†55

AVG/OBP/SLG.182 / .250 / .227

PA24

HR0

K%25

BB%8

BABIP265

ISO45

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$14M ctrl surplus

Tools · ContractCON 20 / POW 20

Toolsscout grade

CONTACT20

scouting grade only

POWER20

scouting grade only

EYE50

scouting grade only

SPEED45

scouting grade only

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	+0.4	$1M	+$0.5M
2033	Pre-Arb	$1.0M	+0.5	$1M	+$0.7M
2034	Pre-Arb	$1.0M	+0.5	$1M	+$0.7M
2035	Arb-1	$3M	+0.6	$1M	+$0.2M
2036	Arb-2	$4M	+0.5	$0.9M	+$0.0M (cut)
2037	Arb-3	$5M	+0.4	$0.7M	+$0.0M (cut)
Totals		$5M		$6M	+$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)
2025	17	ROK	DSL Rays	—	164	139	27	8	2	0	23	45	2	6	1	194	317	281	598	86	287	27	14	283	78	-4	+1	—	—	+4	-0.0
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	17	ROK MLE	DSL Rays	—	164	148	19	5	1	0	14	65	2	6	1	128	213	176	389	47	233	40	9	187	13	-17	+1	—	—	+4	-1.3
2025	17	ROK MLE	DSL Rays	—	164	148	19	5	1	0	14	65	2	6	1	128	213	176	389	47	229	40	9	187	13	—	—	—	—	—	—
2025	17	ROK RAW	DSL Rays	—	164	139	27	8	2	0	23	45	2	6	1	194	317	281	598	86	287	27	14	283	13	—	—	—	—	—	—
2025	17	ROK MLE	DSL Rays	—	164	147	19	5	1	0	14	65	2	6	1	129	213	177	390	48	233	40	9	187	13	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2025	17	ROK MLE	DSL Rays	—	164	147	19	5	1	0	14	65	2	6	1	129	213	177	390	48	233	40	9	187	13	—	—	—	—	—	—
YTD	18	ROK MLE	TB	—	241	206	39	4	1	2	30	63	2	14	10	189	298	248	546	58	257	26	12	251	56	-13	-1	+0	+3	+5	-0.6
▸ 2026 season
YTD	18	ROK RAW	TB	—	241	188	50	6	1	2	48	44	2	14	10	266	420	340	761	74	331	18	20	355	56	—	—	—	—	—	—
ROS	18	ROK MLE	TB	0%	24	22	4	1	0	0	2	6	0	1	0	182	250	227	477	45	258	25	8	249	55	-1	+0	+0	+0	+1	-0.0
TOT	18	ROK MLE	TB	—	265	228	43	5	1	2	32	69	2	15	10	189	294	246	540	57	256	26	12	251	56	-14	-1	+0	+3	+6	-0.6
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	19	MLB MLE	TB	34%	283	250	49	8	1	3	28	73	3	5	3	196	285	272	557	76	266	26	10	264	65	-12	-0	+0	+3	+6	-0.3
2028	20	MLB MLE	TB	48%	402	355	74	12	2	6	40	101	4	7	3	208	296	304	600	96	270	25	10	274	72	-13	+0	+0	+4	+9	-0.0
2029	21	MLB MLE	TB	54%	488	430	90	15	2	8	49	121	6	8	4	209	299	309	608	100	272	25	10	282	77	-14	+0	+0	+5	+11	0.2
2030	22	MLB MLE	TB	57%	548	481	104	17	3	10	55	134	7	9	4	216	306	326	632	110	273	24	10	286	80	-13	+0	+0	+6	+12	0.5
2031	23	MLB MLE	TB	58%	588	517	111	18	3	11	59	143	7	10	5	215	304	325	629	110	274	24	10	288	81	-13	+0	+0	+6	+13	0.6
2032	24	MLB MLE	TB	57%	614	540	117	19	3	12	62	149	7	10	5	217	305	330	635	113	275	24	10	290	83	-13	+0	+0	+7	+13	0.7
2033	25	MLB MLE	TB	61%	629	553	120	20	3	12	63	152	8	10	5	217	306	329	635	112	275	24	10	291	83	-13	+0	+0	+7	+14	0.8
2034	26	MLB MLE	TB	63%	635	558	122	20	3	13	64	153	8	10	5	219	308	335	643	116	275	24	10	292	84	-12	+0	+0	+7	+14	0.8
2035	27	MLB MLE	TB	64%	634	556	122	20	3	13	65	154	8	10	5	219	310	336	646	117	275	24	10	292	84	-12	+0	+0	+7	+14	0.8
2036	28	MLB MLE	TB	65%	629	551	119	19	3	12	65	153	8	10	5	216	308	327	634	111	274	24	10	291	83	-13	+0	-1	+7	+14	0.7
2037	29	MLB MLE	TB	65%	619	543	117	19	3	12	64	152	7	9	5	215	306	328	634	112	274	25	10	289	82	-13	-0	-1	+7	+13	0.5
2038	30	MLB MLE	TB	65%	608	533	113	18	3	11	63	151	7	9	4	212	303	319	622	107	273	25	10	287	80	-14	+0	-2	+7	+13	0.3
2039	31	MLB MLE	TB	65%	594	520	110	17	3	11	62	149	7	8	4	212	304	319	623	108	270	25	10	283	78	-16	+0	-3	+6	+13	0.1
2040	32	MLB MLE	TB	65%	575	503	104	16	2	10	60	147	7	8	4	207	300	306	606	99	268	26	10	278	74	-18	+0	-4	+6	+12	-0.3
2027	19	MLB CTX	TB	34%	97	86	18	3	1	1	10	25	1	2	1	209	299	302	601	93	273	26	10	262	65	-4	+0	+0	+1	+2	-0.1
2028	20	MLB CTX	TB	48%	195	172	37	6	1	3	19	49	2	3	2	215	301	314	614	99	277	25	10	272	72	-7	-0	+0	+2	+4	-0.0
2029	21	MLB CTX	TB	54%	265	234	51	9	1	5	26	66	3	5	2	218	304	329	633	111	280	25	10	279	77	-7	+0	+0	+3	+6	0.1
2030	22	MLB CTX	TB	57%	310	272	61	10	2	6	31	76	4	5	3	224	313	342	655	118	281	25	10	284	80	-7	-0	+0	+3	+7	0.2
2031	23	MLB CTX	TB	58%	339	298	67	11	2	7	34	82	4	6	3	225	312	346	658	121	282	24	10	286	81	-8	+0	+0	+4	+7	0.4
2032	24	MLB CTX	TB	57%	350	308	69	12	2	7	35	85	4	6	3	224	311	344	655	120	283	24	10	288	83	-7	+0	+0	+4	+8	0.4
2033	25	MLB CTX	TB	61%	381	335	76	13	2	8	38	92	5	6	3	227	315	349	664	122	283	24	10	289	83	-8	+0	+0	+4	+8	0.5
2034	26	MLB CTX	TB	63%	397	349	78	13	2	8	40	96	5	6	3	223	312	341	653	117	283	24	10	289	84	-8	+0	+0	+4	+9	0.5
2035	27	MLB CTX	TB	64%	403	354	79	13	2	8	41	98	5	7	3	223	312	339	651	116	282	24	10	289	84	-8	+0	+0	+4	+9	0.6
2036	28	MLB CTX	TB	65%	409	359	79	13	2	8	42	100	5	6	3	220	310	334	645	114	282	24	10	288	83	-8	+0	-0	+4	+9	0.5
2037	29	MLB CTX	TB	65%	402	352	78	13	2	8	42	99	5	6	3	222	313	338	651	116	281	25	10	287	82	-9	+0	-1	+4	+9	0.4
2038	30	MLB CTX	TB	65%	395	346	76	12	2	8	41	98	5	6	3	220	311	335	646	116	280	25	10	284	80	-9	+0	-1	+4	+9	0.2
2039	31	MLB CTX	TB	65%	386	338	73	12	2	7	40	97	5	5	3	216	308	325	634	109	278	25	10	280	78	-10	-0	-2	+4	+8	0.0
2040	32	MLB CTX	TB	65%	374	328	69	11	2	6	39	96	4	5	2	210	302	311	613	101	275	26	10	275	74	-12	+0	-2	+4	+8	-0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	4703	4131	911	151	25	90	478	1159	57	74	37	221	310	335	644	114	283	25	10	284	78	-112	+0	-7	+50	+102	3.5
/ 162G	—	A+C		—	650	571	125	21	3	12	66	160	8	10	5	219	309	329	638	110	281	25	10	284	78	-15	+0	-1	+7	+14	0.5
Career	—	MLE		—	8034	7060	1495	244	38	144	815	2003	96	130	62	212	302	318	620	107	273	25	10	284	78	-191	+0	-10	+84	+171	5.5
/ 162G	—	MLE		—	650	571	121	20	3	12	66	162	8	11	5	212	302	320	623	109	273	25	10	284	78	-16	+0	-1	+7	+14	0.5

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
#3Cliff Penningtonlast yr '17 career totals — 10 seasons, 3,108 PA	4.7	3,108	36	84	243	310	341	+28	+29	9.2	9.5
/162	664	8	18	+5.9	+6.2	2.0	pk7: 10
#4Gordon 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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 9 projected seasons	7.3	4,876	87	77	214	300	322	+52	+27	6.5	5.7
/162	664	12	10	+7.1	+3.7	0.9	pk7: 5
#5Ronny 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
#6Yolmer 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

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
Raymer Medina (OGILVIE)	18	20	20	45	50	187/276/251	64	258	1	6	26%	10%	55	-0.6	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Juan Mosquera 2007 · A	19	38	35→30	49→55	44	180/246/238	57	263	3	15	31%	8%	38	-3.2	201/290/246	45	281	1	14	26%	10%	58	-1.7	210/308/237	27	280	0	17	22%	11%	61	-0.5
✕Deivi Estrada 2019 · A	18	40	36→30	45→50	43	190/259/260	71	280	2	10	31%	7%	49	-2.4	210/287/274	64	289	3	9	26%	9%	63	-1.4	195/270/241	46	288	2	8	30%	8%	47	-0.8
✕Kleiber Rodriguez 2018 · A	19	37	35→30	46→40	46	175/250/234	59	244	2	5	27%	8%	40	-3.0	219/280/288	69	282	3	5	21%	7%	63	-1.4	240/298/301	61	284	2	4	15%	8%	71	-0.4
✕Jose Perez 2022 · A	18	41	38→40	42→45	44	193/266/276	83	281	5	6	31%	8%	55	-1.9	200/299/287	87	269	5	7	25%	11%	71	-0.8	193/314/286	93	255	5	7	23%	13%	76	-0.1
✕Francisco Aponte 2009 · A	18	43	36→30	49→60	46	205/268/268	64	265	4	9	23%	7%	54	-2.0	230/305/289	59	291	2	17	20%	8%	73	-0.6	224/288/270	46	274	0	22	17%	8%	61	-0.6
✕Richard Rodriguez 2012 · A	19	39	36→30	48→50	45	186/255/247	61	260	3	12	28%	8%	45	-2.7	210/266/251	41	261	1	14	19%	7%	49	-2.4	233/291/254	20	278	0	16	15%	7%	56	-0.6
✕Michael Chirinos 2018 · A	18	41	37→40	51→55	50	193/251/266	73	225	4	11	16%	7%	47	-2.5	226/292/296	70	250	5	13	11%	8%	69	-0.9	236/307/298	61	253	5	16	8%	9%	76	-0.2
✕Francis Grullon 2019 · A	18	39	35→45	47→55	45	184/247/246	62	246	2	9	25%	7%	41	-3.0	202/273/292	90	249	7	13	20%	8%	62	-1.4	191/274/289	97	228	9	18	19%	9%	61	-0.4
✕Carlos Ramirez 2007 · A	18	39	36→40	44→45	46	187/255/250	63	262	3	6	28%	8%	45	-2.7	221/282/291	70	277	2	5	20%	6%	64	-1.3	241/302/311	71	291	2	4	17%	6%	75	-0.2
✕Emmanuel Morel 2015 · A	18	42	36→30	51→55	41	199/261/262	63	278	3	9	28%	6%	50	-2.3	192/267/250	58	298	2	16	33%	9%	50	-2.3	173/256/219	46	280	0	22	34%	9%	37	-0.9
✕Rodolfo Penalo 2011 · A	18	43	35→40	47→65	48	203/275/262	59	265	2	16	23%	8%	55	-1.9	204/271/273	69	256	3	20	20%	7%	56	-1.9	212/299/273	61	273	1	34	20%	10%	63	-0.4
✕Luis Rodriguez 2017 · A	18	38	35→30	46→50	45	180/251/238	58	270	2	8	32%	9%	41	-3.0	178/250/234	56	273	3	10	33%	8%	40	-3.1	180/271/220	40	237	2	16	23%	10%	45	-0.9
✕Enderson Delgado 2023 · A	18	41	35→45	45→30	42	194/262/251	57	270	2	6	27%	6%	49	-2.4	176/258/262	86	262	7	4	33%	7%	51	-2.3	175/262/263	87	248	9	2	30%	7%	50	-0.7
✕Julio Izturis 2007 · A	17	43	35→30	48→60	46	200/278/258	58	271	2	14	25%	7%	56	-1.9	214/300/262	48	265	2	24	18%	8%	65	-1.2	217/310/253	36	266	2	31	17%	9%	65	-0.4
✕Marco Guzman 2013 · A	18	37	35→45	47→50	47	176/257/242	66	244	2	8	26%	8%	45	-2.7	198/263/278	80	251	4	7	22%	8%	55	-2.0	224/262/324	100	290	5	8	24%	5%	62	-0.5
✕Nicoll Parra 2012 · A	18	39	36→30	44→55	45	183/264/252	70	275	4	8	32%	8%	50	-2.3	197/307/251	54	268	1	18	24%	12%	67	-1.1	186/321/224	38	254	0	27	22%	14%	65	-0.4
✕Victor Rodrigues 2023 · A	18	41	38→30	49→50	43	196/259/277	81	254	5	7	24%	6%	53	-2.1	212/289/284	72	268	5	9	21%	9%	66	-1.1	221/317/274	53	274	5	10	19%	11%	72	-0.3
✕Julio Garcia 2015 · A	18	39→36	36→40	45→40	39	187/240/248	61	285	3	7	34%	6%	38	-3.2	184/222/241	57	279	2	11	33%	4%	29	-3.8	183/211/244	62	279	3	6	35%	3%	24	-2.2
✕Pedro Flores 2015 · A	19	39	34→30	48→50	47	183/245/228	45	234	2	8	21%	7%	36	-3.3	210/275/261	51	252	2	10	16%	7%	55	-1.9	214/283/253	39	248	1	12	13%	8%	53	-1.0
✕Jose Herrera 2015 · A	18	42	34→40	49→40	44	196/267/251	55	284	2	4	30%	8%	50	-2.3	208/268/285	77	270	6	3	24%	7%	58	-1.7	210/292/298	88	277	8	3	26%	10%	69	-0.5

Career Stats + Projections

Career Comps

Career Path Comps