Matthew Miura — OGILVIE

Matthew MiuraOF Palm Beach Cardinals

Age 22 R/R 5'11" / 185 lbs A HR -14%BB -5% Svc 0.0 · Ctrl thru 2036

2026 ROS PROJECTION253 act + 9 ros · stats below = ROS only

showingROS

wRC+†99

AVG/OBP/SLG.125 / .222 / .125

PA9

HR0

K%22

BB%11

BABIP303

ISO114

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$22M ctrl surplus

Tools · ContractCON 63 / POW 40

Toolsscout grade

CONTACT63

scouting grade only

POWER40

scouting grade only

EYE69

scouting grade only

SPEED66

scouting grade only

Contract ESTIMATED · service-time + WAR-based estimator (needs verification)

Status MiLB

MLB Debut 2031

Service 0 yrs (est)

Team Control Through 2036

First FA Year 2037

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2031
2027	MiLB	still in minors · estimated debut 2031
2028	MiLB	still in minors · estimated debut 2031
2029	MiLB	still in minors · estimated debut 2031
2030	MiLB	still in minors · estimated debut 2031
2031	Pre-Arb	$0.9M	+0.6	$2M	+$1M
2032	Pre-Arb	$0.9M	+0.5	$1M	+$0.8M
2033	Pre-Arb	$1.0M	+0.4	$0.9M	+$0.5M
2034	Arb-1	$2M	+0.3	$0.7M	+$0.0M (cut)
2035	Arb-2	$2M	+0.2	$0.4M	+$0.0M (cut)
2036	Arb-3	$1M	—	—	—
Totals		$3M		$5M	+$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	21	A	Palm Beach Cardinals	—	91	76	15	1	0	1	15	13	0	7	3	197	330	250	580	53	226	14	16	281	76	-3	+0	—	—	+2	-0.0
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	21	A MLE	Palm Beach Cardinals	—	91	80	14	1	0	1	11	18	0	7	3	175	275	225	500	50	221	20	12	239	48	-6	+0	—	—	+2	-0.4
2025	21	A MLE	Palm Beach Cardinals	—	91	80	14	1	0	1	11	18	0	7	3	175	275	225	500	50	213	20	12	239	48	—	—	—	—	—	—
2025	21	A RAW	Palm Beach Cardinals	—	91	76	15	1	0	1	15	13	0	7	3	197	330	250	580	53	226	14	16	281	48	—	—	—	—	—	—
2025	21	A MLE	Palm Beach Cardinals	—	91	80	14	1	0	1	11	18	0	7	3	175	275	225	500	50	221	20	12	239	48	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2025	21	A MLE	Palm Beach Cardinals	—	91	80	14	1	0	1	11	18	0	7	3	175	275	225	500	50	221	20	12	239	48	—	—	—	—	—	—
YTD	22	A MLE	STL	—	253	218	56	9	1	3	31	44	3	22	5	257	357	349	706	92	308	17	12	311	97	-1	+2	+0	-2	+5	0.5
▸ 2026 season
YTD	22	A RAW	STL	—	253	208	58	9	1	3	41	31	3	22	5	279	405	375	780	96	314	12	16	359	97	—	—	—	—	—	—
ROS	22	A MLE	STL	0%	9	8	1	0	0	0	1	2	0	0	0	125	222	125	347		304	22	11	314	99	-0	+0	+0	-0	+0	0.0
TOT	22	A MLE	STL	—	262	226	57	9	1	3	32	46	3	22	5	252	352	341	693	88	303	18	12	311	97	-1	+2	+0	-2	+6	0.6
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	23	MLB MLE	STL	34%	265	231	57	10	1	5	29	56	3	9	2	247	338	364	702	117	302	21	11	316	100	+0	+1	+0	-2	+6	0.5
2028	24	MLB MLE	STL	46%	356	310	77	13	2	7	39	75	4	12	3	248	340	371	711	123	302	21	11	319	102	+1	+1	+0	-2	+8	0.8
2029	25	MLB MLE	STL	52%	404	353	87	15	2	8	44	85	4	13	3	246	337	368	705	122	301	21	11	320	103	+1	+1	+0	-2	+9	0.9
2030	26	MLB MLE	STL	54%	434	380	93	16	2	9	47	92	4	14	3	245	334	368	703	124	301	21	11	321	103	+2	+2	+0	-3	+9	1.0
2031	27	MLB MLE	STL	54%	445	388	96	17	2	9	49	94	5	14	3	247	339	371	711	124	301	21	11	321	103	+2	+2	+0	-3	+10	1.1
2032	28	MLB MLE	STL	54%	448	390	96	17	2	9	50	96	5	14	3	246	339	369	709	123	300	21	11	320	103	+1	+2	-1	-3	+10	1.0
2033	29	MLB MLE	STL	53%	442	386	94	16	2	9	49	95	4	13	3	244	335	365	700	122	300	21	11	318	101	+1	+1	-1	-3	+10	0.8
2034	30	MLB MLE	STL	52%	435	380	92	16	2	8	48	95	4	11	3	242	333	358	691	116	299	22	11	315	100	-0	+1	-2	-3	+9	0.6
2035	31	MLB MLE	STL	52%	423	369	88	15	2	8	47	94	4	9	2	238	331	355	686	117	297	22	11	311	97	-2	+1	-3	-3	+9	0.3
2036	32	MLB MLE	STL	52%	405	353	83	14	2	7	45	91	4	8	2	235	328	346	674	110	294	22	11	306	93	-3	+1	-4	-2	+9	0.0
2037	33	MLB MLE	STL	52%	376	327	74	12	1	6	42	87	4	5	1	226	322	324	646	98	290	23	11	299	89	-5	+1	-4	-2	+8	-0.3
2027	23	MLB CTX	STL	34%	91	80	18	3	0	1	10	19	1	3	1	225	319	300	619	75	301	21	11	306	100	+0	+0	+0	-1	+2	0.2
2028	24	MLB CTX	STL	46%	164	143	35	6	1	3	18	35	2	5	1	245	337	364	701	119	301	21	11	309	102	+0	+1	+0	-1	+4	0.4
2029	25	MLB CTX	STL	52%	209	182	45	8	1	4	23	44	2	7	2	247	338	368	706	121	301	21	11	310	103	+1	+1	+0	-1	+5	0.5
2030	26	MLB CTX	STL	54%	235	205	51	9	1	5	26	50	2	8	2	249	339	376	715	127	300	21	11	310	103	+1	+1	+0	-1	+5	0.6
2031	27	MLB CTX	STL	54%	241	211	52	9	1	5	26	51	2	8	2	246	335	370	704	123	300	21	11	310	103	+1	+1	+0	-1	+5	0.6
2032	28	MLB CTX	STL	54%	243	212	52	9	1	5	27	52	2	7	2	245	336	368	704	123	300	21	11	309	103	+1	+1	-0	-1	+5	0.5
2033	29	MLB CTX	STL	53%	235	205	50	9	1	4	26	51	2	7	2	244	335	356	691	112	299	22	11	308	101	+0	+1	-1	-1	+5	0.4
2034	30	MLB CTX	STL	52%	228	199	47	8	1	4	25	50	2	6	1	236	327	347	674	111	298	22	11	305	100	-0	+1	-1	-1	+5	0.3
2035	31	MLB CTX	STL	52%	220	192	46	8	1	4	24	49	2	5	1	240	330	354	684	115	296	22	11	301	97	-1	+1	-1	-1	+5	0.2
2036	32	MLB CTX	STL	52%	210	183	42	7	1	3	23	47	2	4	1	230	322	328	650	98	293	22	11	296	93	-2	+0	-2	-1	+5	0.0
2037	33	MLB CTX	STL	52%	194	169	39	6	1	3	21	45	2	3	1	231	323	331	654	101	289	23	11	290	89	-3	+0	-2	-1	+4	-0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2270	1981	477	82	10	41	249	493	21	63	16	241	332	354	686	114	299	22	11	305	99	-1	+6	-8	-14	+49	3.4
/ 162G	—	A+C		—	650	567	137	23	3	12	71	141	6	18	5	242	332	356	689	115	300	22	11	305	99	-0	+2	-2	-4	+14	1.0
Career	—	MLE		—	4533	3955	952	162	20	86	501	980	45	129	31	241	333	357	690	116	298	22	11	314	99	-2	+13	-15	-27	+96	6.7
/ 162G	—	MLE		—	650	567	136	23	3	12	72	141	6	18	4	240	332	354	686	115	297	22	11	314	99	-0	+2	-2	-4	+14	1.0

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Logan Forsythelast yr '19 career totals — 9 seasons, 3,502 PA	5.3	3,502	70	42	246	327	370	+5	-11	8.6	9.2
/162	664	13	8	+0.9	-2.2	1.6	pk7: 10
#2Grégor Blancolast yr '18 career totals — 9 seasons, 3,301 PA	5.0	3,301	26	120	256	340	350	-9	-5	7.7	8.5
/162	664	5	24	-1.8	-1.0	1.5	pk7: 9
#3Alejandro De Azalast yr '17 career totals — 8 seasons, 2,819 PA	4.2	2,819	51	89	259	325	396	-6	-12	7.0	7.2
/162	664	12	21	-1.4	-2.8	1.7	pk7: 7
#4Willie Harrislast yr '11 career totals — 10 seasons, 2,743 PA	4.1	2,743	39	106	241	331	351	-11	-2	5.3	6.2
/162	664	9	26	-2.7	-0.5	1.3	pk7: 7
#5Gabe Grosslast yr '10 career totals — 7 seasons, 1,682 PA	2.5	1,682	40	22	239	330	385	-14	+11	5.1	5.1
/162	664	16	9	-5.7	+4.4	2.0	pk7: 5
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 7 projected seasons	3.6	2,409	46	65	243	331	362	-14	+0	5.5	4.9
/162	664	13	18	-4.0	+0.0	1.5	pk7: 4
#6Tony Kemplast yr '23 career totals — 7 seasons, 2,198 PA	3.3	2,198	35	52	238	326	354	-4	-3	4.3	4.3
/162	664	11	16	-1.3	-0.8	1.3	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
Matthew Miura (OGILVIE)	22	58→63	35→40	61→66	69	242/336/348	106	304	2	7	21%	11%	99	+0.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Cal Stevenson 2019 · A	22	57	39→45	59→60	63	265/358/366	102	307	4	16	14%	13%	109	+2.0	234/308/325	91	293	7	13	21%	10%	82	-0.0	239/332/352	113	308	9	30	23%	12%	96	+0.6
●Sal Frelick 2022 · A	22	52→60	40	56→55	48	248/308/348	100	311	7	17	22%	8%	87	+0.4	262/323/367	105	305	7	19	16%	7%	97	+1.1	262/330/356	94	300	7	20	14%	8%	95	+0.8
✕Mark Zagunis 2015 · A	22	48→53	41→45	55→50	47	227/299/337	110	297	6	15	24%	8%	82	-0.0	238/326/367	129	307	11	9	24%	10%	99	+1.3	235/331/371	136	304	12	8	24%	11%	99	+0.9
✕Nick Van Stratten 2007 · A	22	49→59	39→40	58→55	50	229/293/326	97	253	5	12	12%	6%	76	-0.4	251/308/356	105	291	5	12	15%	6%	88	+0.5	308/344/391	82	345	3	23	11%	4%	106	+0.8
✕Nicky Lopez 2017 · A	22	47→57	42→40	57→55	51	229/304/337	108	264	10	17	17%	8%	84	+0.1	252/304/335	83	284	5	13	13%	6%	82	-0.0	264/325/345	82	303	4	14	13%	8%	90	+0.4
●Matt Duffy 2014 · A	23	51→61	44→45	53→50	50	251/310/372	122	289	12	16	18%	8%	93	+0.8	277/324/389	112	329	9	15	18%	6%	102	+1.5	283/337/387	104	329	9	12	16%	7%	104	+1.4
●Vaughn Grissom 2022 · A	21	53→62	42→45	54→55	49	253/325/364	110	312	9	12	21%	8%	97	+1.1	271/334/394	123	324	11	17	19%	7%	107	+1.9	270/336/389	118	323	11	18	19%	7%	104	+1.3
●Desmond Jennings 2009 · A	22	51→59	43→50	56→60	48	246/309/361	115	293	10	25	19%	7%	91	+0.6	256/321/380	124	304	9	34	18%	8%	99	+1.3	243/323/397	154	290	15	28	21%	9%	102	+1.5
✕Osleivis Basabe 2023 · AA	22	57→62	40→45	56→50	46	270/315/373	103	320	5	17	17%	6%	95	+0.9	244/289/348	104	297	7	13	20%	5%	80	-0.2	230/276/336	106	279	9	11	21%	5%	70	-0.6
✕Kelby Tomlinson 2012 · A	22	49→59	40	56→60	44	236/285/341	105	298	6	13	22%	6%	76	-0.4	219/275/277	58	298	2	21	25%	7%	57	-1.8	279/337/345	67	339	3	24	17%	7%	93	+0.6
●Maikel Garcia 2022 · A	22	50→58	39→50	58→60	50	236/300/327	91	298	5	22	21%	8%	79	-0.2	247/302/345	98	313	7	27	22%	7%	84	+0.1	261/321/393	132	295	10	24	15%	8%	100	+1.2
✕Carlos Mendoza 2022 · A	22	54→55	37→40	56→55	57	248/344/324	76	301	3	18	17%	11%	96	+1.0	237/340/308	71	308	3	14	21%	12%	91	+0.7	242/332/330	88	296	7	18	19%	9%	90	+0.5
✕Ke'Bryan Hayes 2019 · AA	22	50→55	41→50	53→50	47	240/299/345	104	301	6	14	22%	7%	82	+0.0	245/303/377	132	305	11	12	22%	7%	92	+0.7	257/314/398	140	314	13	16	21%	7%	99	+1.0
✕Michael Reed 2015 · A	22	49→59	38→45	55	50	226/311/320	94	320	4	20	28%	10%	82	+0.0	211/294/307	96	306	6	20	30%	10%	74	-0.6	215/303/310	95	321	10	16	33%	10%	76	-0.3
✕Nick Senzel 2017 · A	22	48→57	45→50	51→50	46	230/295/364	133	302	10	16	26%	8%	86	+0.3	251/305/391	140	330	12	14	26%	7%	96	+1.0	256/310/402	146	332	13	16	26%	7%	97	+0.7
✕Mario Lisson 2006 · A	22	46→49	43→50	57→55	49	219/303/341	122	299	9	19	28%	10%	84	+0.2	220/282/334	114	289	10	21	26%	7%	75	-0.5	230/303/360	129	300	15	8	27%	8%	88	+0.3
✕Brent Morel 2009 · A	22	51→57	43→50	54→50	45	251/298/360	109	298	11	12	20%	6%	86	+0.3	251/287/380	129	292	13	12	18%	5%	86	+0.3	253/289/383	129	290	13	11	17%	4%	85	+0.2
✕Travis Jones 2018 · A	22	54→51	41→40	55	44	256/321/368	112	322	7	18	22%	6%	97	+1.1	230/306/316	86	324	7	21	29%	6%	80	-0.1	213/301/290	78	311	7	21	31%	7%	70	-0.5
●Rob Refsnyder 2014 · A	23	53→59	41→50	52→50	54	252/339/358	106	310	7	15	20%	10%	101	+1.4	263/324/379	116	322	8	11	20%	7%	100	+1.3	265/359/414	149	341	15	9	24%	11%	119	+1.4
✕Austin Martin 2022 · AA	23	51→52	40	51→60	51	238/344/333	95	319	6	14	25%	10%	99	+1.3	228/320/311	83	283	5	25	20%	9%	85	+0.2	257/354/339	82	314	4	22	17%	11%	101	+0.8

Career Stats + Projections

Career Comps

Career Path Comps