Miguel Tamares — OGILVIE

Miguel TamaresSS FCL Rays

Age 21 S/R 5'10" / 150 lbs ROK HR +6%H +4% Svc 0.0 · Ctrl thru 2037

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

wRC+†54

AVG/OBP/SLG.192 / .266 / .266

PA6

HR0

K%32

BB%8

ISO75

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$2M 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	+0.2	$0.5M	+$0.0M
2033	Pre-Arb	$1.0M	+0.1	$0.2M	+$0.0M (cut)
2034	Pre-Arb	$1.0M	—	—	—
2035	Arb-1	$0.4M	—	—	—
2036	Ext	beyond projection horizon · no WAR estimate
2037	Ext	beyond projection horizon · no WAR estimate
Totals		$0.9M		$0.5M	+$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 Rays	—	225	168	34	6	3	3	51	50	5	30	9	202	402	327	729	125	270	22	23	346	121	+6	+2	—	—	+5	1.3
2023	18	ROK	FCL Rays	—	59	51	8	1	0	1	7	18	1	5	0	157	271	235	506	78	219	31	12	244	51	-3	+1	—	—	+1	-0.1
2024	19	ROK	FCL Rays	—	157	124	25	2	2	0	28	42	5	14	3	202	369	250	619	48	305	27	18	306	93	-1	+2	—	—	+3	0.4
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2022	17	ROK MLE	DSL Rays	—	225	190	29	4	3	2	29	73	5	30	9	153	281	237	518	84	224	32	13	237	47	-14	+2	—	—	+5	-0.7
2023	18	ROK MLE	FCL Rays	—	59	53	6	1	0	1	5	26	1	5	0	113	203	189	392	75	176	44	8	161	-5	-7	+1	—	—	+1	-0.5
2024	19	ROK MLE	FCL Rays	—	157	135	17	1	1	0	17	62	5	14	3	126	248	148	397	22	239	39	11	200	22	-15	+2	—	—	+3	-1.0
2022	17	ROK MLE	DSL Rays	—	225	190	29	4	3	2	29	73	5	30	9	153	281	237	518	84	235	32	13	237	47	—	—	—	—	—	—
2022	17	ROK RAW	DSL Rays	—	225	168	34	6	3	3	51	50	5	30	9	202	402	327	729	125	270	22	23	346	47	—	—	—	—	—	—
2023	18	ROK MLE	FCL Rays	—	59	53	6	1	0	1	5	26	1	5	0	113	203	189	392	75	192	44	8	161	-5	—	—	—	—	—	—
2023	18	ROK RAW	FCL Rays	—	59	51	8	1	0	1	7	18	1	5	0	157	271	235	506	78	219	31	12	244	-5	—	—	—	—	—	—
2024	19	ROK MLE	FCL Rays	—	157	135	17	1	1	0	17	62	5	14	3	126	248	148	397	22	233	39	11	200	22	—	—	—	—	—	—
2024	19	ROK RAW	FCL Rays	—	157	124	25	2	2	0	28	42	5	14	3	202	369	250	619	48	305	27	18	306	22	—	—	—	—	—	—
2022	17	ROK MLE	DSL Rays	—	225	189	29	4	3	2	29	73	5	30	9	153	281	238	519	85	224	32	13	237	47	—	—	—	—	—	—
2023	18	ROK MLE	FCL Rays	—	59	53	6	1	0	1	5	26	1	5	0	113	203	189	392	75	176	44	8	161	-5	—	—	—	—	—	—
2024	19	ROK MLE	FCL Rays	—	157	134	17	1	1	0	17	62	5	14	3	127	248	149	398	22	239	39	11	200	22	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	18	ROK MLE	FCL Rays	—	59	53	6	1	0	1	5	26	1	5	0	113	203	189	392	75	176	44	8	161	-5	—	—	—	—	—	—
2024	19	ROK MLE	FCL Rays	—	157	134	17	1	1	0	17	62	5	14	3	127	248	149	398	22	239	39	11	200	22	—	—	—	—	—	—
▸ 2026 season
2026	21	MLB MLE	TB	0%	6	6	1	0	0	0	0	2	0	0	0	167	167	167	333		285	33	0	248	54	-0	+0	+0	+0	+0	-0.1
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	22	MLB MLE	TB	34%	119	106	22	3	1	2	10	37	2	3	0	208	288	311	599	104	287	31	8	260	62	-5	+1	+0	+1	+3	-0.1
2028	23	MLB MLE	TB	48%	255	229	48	8	2	4	21	77	3	6	1	210	285	314	599	105	288	30	8	269	68	-10	+1	+0	+3	+6	-0.1
2029	24	MLB MLE	TB	53%	353	317	66	11	2	6	29	104	4	8	1	208	283	312	595	104	290	29	8	275	72	-12	+1	+0	+4	+8	0.1
2030	25	MLB MLE	TB	55%	414	372	80	13	3	8	34	121	5	9	2	215	290	331	620	116	290	29	8	279	75	-12	+1	+0	+4	+9	0.2
2031	26	MLB MLE	TB	56%	451	405	86	14	3	9	37	132	6	10	2	212	288	328	616	116	290	29	8	280	76	-13	+1	+0	+5	+10	0.3
2032	27	MLB MLE	TB	55%	470	422	89	14	3	9	39	138	6	10	2	211	287	322	609	111	290	29	8	280	76	-14	+1	+0	+5	+10	0.3
2033	28	MLB MLE	TB	55%	478	428	90	14	3	9	41	141	6	10	2	210	288	320	609	110	289	29	9	279	75	-14	+1	-1	+5	+10	0.2
2034	29	MLB MLE	TB	53%	476	426	89	14	3	9	41	141	6	9	2	209	288	319	607	110	289	30	9	278	74	-15	+1	-1	+5	+10	0.0
2035	30	MLB MLE	TB	53%	470	421	88	14	3	9	40	141	6	8	1	209	287	321	608	112	288	30	9	275	72	-15	+1	-2	+5	+10	-0.1
2027	22	MLB CTX	TB	34%	41	37	8	1	0	1	3	13	1	1	0	216	293	324	617	108	295	32	7	257	62	-2	+0	+0	+0	+1	-0.0
2028	23	MLB CTX	TB	48%	124	111	24	4	1	2	10	37	2	3	0	216	293	324	617	108	297	30	8	266	68	-5	+1	+0	+1	+3	-0.0
2029	24	MLB CTX	TB	53%	186	167	35	6	1	3	15	55	2	4	1	210	283	311	594	102	298	30	8	272	72	-6	+0	+0	+2	+4	0.0
2030	25	MLB CTX	TB	55%	227	203	44	7	2	4	19	67	3	5	1	217	293	330	623	113	298	30	8	276	75	-7	+1	+0	+2	+5	0.1
2031	26	MLB CTX	TB	56%	251	225	49	8	2	5	21	74	3	5	1	218	293	338	631	120	298	29	8	277	76	-7	+1	+0	+3	+5	0.2
2032	27	MLB CTX	TB	55%	259	232	50	8	2	5	22	76	3	6	1	216	292	332	624	116	298	29	8	278	76	-7	+1	+0	+3	+6	0.2
2033	28	MLB CTX	TB	55%	261	234	50	8	2	5	22	77	3	5	1	214	290	329	619	115	298	30	8	277	75	-8	+1	-0	+3	+6	0.1
2034	29	MLB CTX	TB	53%	254	227	49	8	2	5	22	75	3	5	1	216	294	335	628	119	297	30	9	275	74	-8	+1	-1	+3	+6	0.0
2035	30	MLB CTX	TB	53%	247	221	48	8	2	5	21	74	3	4	1	217	294	339	633	122	296	30	9	272	72	-8	+0	-1	+3	+5	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1850	1657	357	58	14	35	155	548	23	38	7	215	292	331	622	115	298	30	8	274	69	-58	+5	-2	+20	+40	0.5
/ 162G	—	A+C		—	650	582	125	20	5	12	54	193	8	13	2	215	290	328	618	113	297	30	8	274	69	-20	+2	-1	+7	+14	0.2
Career	—	MLE		—	3933	3510	711	111	27	68	343	1195	55	122	25	203	284	308	591	105	284	30	9	270	69	-110	+9	-4	+37	+76	0.8
/ 162G	—	MLE		—	650	580	116	18	4	11	57	197	9	20	4	200	282	302	583	102	280	30	9	270	69	-20	+2	-1	+7	+14	0.2

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Sandy Leónlast yr '22 career totals — 9 seasons, 1,648 PA	2.5	1,648	31	1	209	276	313	+29	+56	6.4	6.7
/162	664	12	0	+11.9	+22.4	2.6	pk7: 7
#2Ronny 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
#3Adam 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
#4Adam 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
#5Ryan Goinslast yr '19 career totals — 7 seasons, 1,680 PA	2.5	1,680	22	6	230	279	335	+9	+21	2.0	2.0
/162	664	9	2	+3.7	+8.5	0.8	pk7: 2
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 6 projected seasons	2.9	1,924	35	40	211	285	322	+21	+18	1.7	1.8
/162	664	12	14	+7.1	+6.2	0.6	pk7: 2
#6Alexi Amaristalast yr '17 career totals — 7 seasons, 1,901 PA	2.9	1,901	21	39	231	275	323	+14	-6	-1.1	-1.1
/162	664	7	14	+4.9	-2.1	-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
Miguel Tamares (OGILVIE)	21	—	—	—	—	192/266/266	74	285	1	2	32%	8%	54	-0.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Brainer Bonaci 2022 · A	20	40→44	39→45	53→50	43	195/254/284	89	269	5	13	28%	7%	53	-2.1	216/286/322	106	302	9	13	29%	9%	74	-0.6	216/290/325	109	297	11	14	29%	9%	73	-0.4
✕Riley Unroe 2017 · A	21	41→48	36→45	46→55	43	195/257/255	61	273	4	12	29%	7%	47	-2.6	200/267/276	76	287	5	12	30%	8%	55	-1.9	221/306/334	113	298	11	26	27%	10%	81	-0.0
✕Allan Castro 2023 · A	20	38→44	40→45	54→50	40	185/249/285	100	275	6	9	34%	7%	51	-2.2	203/274/314	111	281	9	13	29%	8%	68	-1.0	202/276/313	110	274	9	14	28%	9%	65	-1.0
✕Luis Alexander Basabe 2018 · A	21	40→43	41→45	54→50	38	196/250/295	99	290	8	15	34%	6%	53	-2.1	202/265/306	104	313	9	14	36%	8%	61	-1.5	196/266/304	108	307	10	14	37%	8%	59	-0.9
✕Alan Schoenberger 2010 · A	21	39	37→45	49→45	41	186/247/260	75	289	3	8	35%	7%	44	-2.8	196/246/286	90	292	6	6	33%	6%	49	-2.4	184/232/270	86	270	6	5	33%	5%	38	-1.6
✕C.J. Beatty 2010 · A	21	40	42→45	52→40	41	198/253/297	98	278	9	9	31%	7%	55	-2.0	209/270/324	115	297	9	5	31%	7%	68	-1.0	202/267/332	130	282	11	2	30%	8%	65	-0.7
✕Pedro Florimón 2008 · A	21	40→50	37→45	47→55	39	193/244/262	69	285	5	12	33%	6%	43	-2.8	200/249/285	85	308	5	14	35%	6%	51	-2.3	220/277/327	107	327	9	11	33%	6%	68	-0.5
✕Arquímedes Gamboa 2019 · A	21	41→45	37→40	48→50	44	198/260/271	72	274	5	7	28%	7%	51	-2.2	184/259/260	76	272	5	14	31%	9%	49	-2.4	199/285/288	89	292	7	15	31%	10%	63	-0.8
✕Angelo Mora 2014 · A	21	41→51	36→45	48→45	40	196/238/264	68	261	4	13	26%	5%	40	-3.0	222/264/307	85	298	4	6	25%	5%	60	-1.6	250/284/351	101	320	5	4	23%	4%	74	-0.4
✕Drew Stankiewicz 2015 · A	22	39→49	37→45	51→45	38	191/237/261	70	280	5	9	33%	6%	40	-3.1	223/279/306	83	288	4	7	22%	7%	66	-1.1	228/288/316	88	292	5	5	22%	7%	69	-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
✕Marcus Littlewood 2013 · A	21	40	40→45	48→45	41	198/249/288	90	271	8	7	29%	6%	51	-2.2	198/267/305	107	269	9	5	28%	8%	62	-1.4	204/271/311	107	262	9	4	25%	8%	63	-0.7
✕Junior Valera 2013 · A	20	42	36→40	51→60	45	196/266/265	69	275	2	10	28%	8%	53	-2.1	226/289/310	84	293	3	18	22%	8%	71	-0.8	245/308/338	94	307	3	28	20%	8%	80	-0.0
✕Oliver Dominguez 2010 · A	21	41	40	53→45	45	201/262/294	93	269	7	12	27%	7%	57	-1.8	201/272/295	94	275	7	13	27%	9%	62	-1.4	190/268/285	94	265	7	12	29%	9%	55	-0.9
✕Jose Infante 2015 · A	21	43	37→40	50	46	197/298/275	78	287	4	13	29%	8%	69	-0.9	190/274/266	76	290	3	10	33%	8%	57	-1.8	124/216/184	60	205	0	10	35%	8%	16	-1.1
✕Chris Garia 2014 · A	21	41→51	35→40	52→60	40	195/246/255	60	265	3	17	26%	5%	42	-2.9	228/268/328	100	304	7	28	26%	4%	67	-1.1	232/271/341	109	306	8	32	26%	4%	67	-0.6
✕Ricardo Méndez 2021 · A	21	44	39→45	54→50	40	207/265/294	88	309	7	13	34%	7%	59	-1.7	216/259/313	97	318	7	13	32%	5%	61	-1.5	212/254/305	93	308	6	14	32%	5%	53	-1.2
✕Jason Denham 2007 · A	21	40→45	35→40	53→55	44	190/254/251	61	280	3	10	31%	8%	45	-2.7	218/277/298	80	290	8	18	26%	7%	64	-1.3	217/279/292	74	284	8	21	25%	7%	62	-0.9
✕Yonki Hernandez 2012 · A	21	41	36→40	53→55	47	189/286/258	68	278	3	17	30%	9%	60	-1.6	197/263/272	75	318	4	18	36%	7%	53	-2.1	179/228/215	36	302	3	27	40%	6%	23	-1.0
✕Anderson Feliz 2013 · A	21	42→51	39→40	51→50	39	198/254/291	92	302	5	14	34%	7%	54	-2.0	208/265/301	93	331	7	12	36%	7%	60	-1.6	207/258/295	88	304	6	10	32%	6%	53	-0.8

Career Stats + Projections

Career Comps

Career Path Comps