Angel Mateo — OGILVIE

Angel MateoOF Charleston RiverDogs

Age 21 R/R 6'1" / 190 lbs A HR +6%H +4% Svc 0.0 · Ctrl thru 2036

2026 ROS PROJECTION276 act + 10 ros · stats below = ROS only

showingROS

wRC+†54

AVG/OBP/SLG.111 / .200 / .111

PA10

HR0

K%30

BB%10

BABIP277

ISO89

MLB%0%

Value2026 · WAR

trajectory · projected WAR by year

Tools · ContractCON 50 / POW 30

Toolsscout grade

CONTACT50

scouting grade only

POWER30

scouting grade only

EYE30

scouting grade only

SPEED50

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	Ext	beyond projection horizon · no WAR estimate
2032	Ext	beyond projection horizon · no WAR estimate
2033	Ext	beyond projection horizon · no WAR estimate
2034	Ext	beyond projection horizon · no WAR estimate
2035	Ext	beyond projection horizon · no WAR estimate
2036	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$0.0M	+$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 Tampa Bay	—	210	171	46	7	0	7	27	36	10	10	3	269	399	433	832	164	300	17	13	375	140	+10	+1	—	—	+5	1.6
2023	18	A	Charleston RiverDogs	—	45	41	10	2	0	0	3	14	1	3	1	244	311	293	604	49	370	31	7	281	76	-1	+0	—	—	+1	-0.0
2023	18	ROK	FCL Rays	—	197	172	44	7	2	4	14	36	10	12	0	256	347	390	736	134	301	18	7	334	112	+3	+2	—	—	+4	1.0
2024	19	A	Charleston RiverDogs	—	409	352	79	24	0	6	43	104	10	26	6	224	326	344	670	119	297	25	11	306	93	-3	+3	—	—	+9	0.8
2024	19	INTL	Perth Heat	—	119	111	23	1	1	3	4	19	2	2	1	207	248	315	563	108	220	16	3	250	55	-6	+0	—	—	+3	-0.4
2025	20	A+	Bowling Green Hot Rods	—	92	79	19	6	0	1	7	14	5	1	0	241	341	354	695	114	277	15	8	317	101	+0	+0	—	—	+2	0.2
2025	20	A	Charleston RiverDogs	—	388	347	98	15	1	6	28	71	7	16	7	282	348	383	731	101	333	18	7	327	107	+3	+0	—	—	+8	1.2
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2022	17	ROK MLE	DSL Tampa Bay	—	210	181	34	5	0	4	17	53	10	10	3	188	293	282	575	94	229	25	8	257	60	-10	+1	—	—	+5	-0.5
2023	18	A MLE	Charleston RiverDogs	—	45	42	7	1	0	0	2	20	1	3	1	167	222	190	413	24	324	44	4	193	17	-4	+0	—	—	+1	-0.3
2023	18	ROK MLE	FCL Rays	—	197	177	33	5	1	3	9	52	10	12	0	186	265	277	542	90	231	26	5	236	46	-13	+2	—	—	+4	-0.6
2024	19	A MLE	Charleston RiverDogs	—	409	369	61	17	0	6	26	150	10	26	6	165	240	260	500	95	245	37	6	223	37	-31	+3	—	—	+9	-1.9
2025	20	A+ MLE	Bowling Green Hot Rods	—	92	81	15	4	0	1	5	18	5	1	0	185	275	272	546	86	228	20	5	247	53	-5	+0	—	—	+2	-0.3
2025	20	A MLE	Charleston RiverDogs	—	388	357	85	14	1	4	18	100	7	16	7	238	288	317	604	78	302	26	5	266	66	-16	+0	—	—	+8	-0.7
2022	17	ROK MLE	DSL Tampa Bay	—	210	181	34	5	0	4	17	53	10	10	3	188	293	282	575	94	238	25	8	257	60	—	—	—	—	—	—
2022	17	ROK RAW	DSL Tampa Bay	—	210	171	46	7	0	7	27	36	10	10	3	269	399	433	832	164	300	17	13	375	60	—	—	—	—	—	—
2023	18	ROK MLE	2 teams	—	242	219	39	6	1	3	11	72	11	15	1	178	253	256	509	78	248	30	5	228	40	—	—	—	—	—	—
2023	18	ROK RAW	2 teams	—	242	213	54	9	2	4	17	50	11	15	1	254	340	371	711	117	312	21	7	324	40	—	—	—	—	—	—
2024	19	A MLE	2 teams	—	528	477	78	22	0	8	33	193	12	28	7	164	236	260	496	96	248	37	6	223	37	—	—	—	—	—	—
2024	19	A RAW	2 teams	—	528	463	102	25	1	9	47	123	12	28	7	220	308	337	645	117	276	23	9	293	37	—	—	—	—	—	—
2025	20	A MLE	2 teams	—	480	438	100	18	1	5	23	118	12	17	7	228	285	308	594	80	295	25	5	262	64	—	—	—	—	—	—
2025	20	A RAW	2 teams	—	480	426	117	21	1	7	35	85	12	17	7	275	347	378	725	103	323	18	7	325	64	—	—	—	—	—	—
2022	17	ROK MLE	DSL Tampa Bay	—	210	181	34	5	0	4	17	53	10	10	3	188	293	282	575	94	229	25	8	257	60	—	—	—	—	—	—
2023	18	ROK MLE	2 teams	—	242	218	39	6	1	3	11	72	11	15	1	179	253	257	510	78	248	30	5	228	40	—	—	—	—	—	—
2024	19	A MLE	2 teams	—	528	478	78	22	0	8	33	193	12	28	7	163	236	259	495	96	245	37	6	223	37	—	—	—	—	—	—
2025	20	A MLE	2 teams	—	480	442	100	18	1	5	23	118	12	17	7	226	285	305	591	79	288	25	5	262	64	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	18	ROK MLE	2 teams	—	242	218	39	6	1	3	11	72	11	15	1	179	253	257	510	78	248	30	5	228	40	—	—	—	—	—	—
2024	19	A MLE	2 teams	—	528	478	78	22	0	8	33	193	12	28	7	163	236	259	495	96	245	37	6	223	37	—	—	—	—	—	—
2025	20	A MLE	2 teams	—	480	442	100	18	1	5	23	118	12	17	7	226	285	305	591	79	288	25	5	262	64	—	—	—	—	—	—
YTD	21	A MLE	TB	—	276	254	46	11	1	6	17	93	3	11	5	181	241	303	544	122	255	34	6	235	45	-18	+0	+0	-2	+6	-1.4
▸ 2026 season
YTD	21	A RAW	TB	—	154	133	33	8	1	5	19	35	2	7	4	248	351	436	787	188	301	23	12	352	45	—	—	—	—	—	—
YTD	21	A+ RAW	TB	—	122	110	22	6	0	2	9	32	1	4	1	200	267	309	576	109	256	26	7	259	45	—	—	—	—	—	—
ROS	21	A MLE	TB	0%	10	9	1	0	0	0	1	3	0	0	0	111	200	111	311		269	30	10	248	54	-1	+0	+0	-0	+0	-0.0
TOT	21	A MLE	TB	—	286	263	47	11	1	6	18	96	3	11	5	179	239	297	536	118	252	34	6	236	46	-18	+0	+0	-2	+6	-1.4
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	22	MLB MLE	TB	34%	518	473	95	20	1	10	32	152	8	12	4	201	263	311	574	110	270	29	6	262	63	-23	+1	+0	-3	+11	-1.4
2028	23	MLB MLE	TB	48%	560	511	107	22	2	13	36	159	8	13	5	209	272	337	609	127	273	28	6	272	70	-20	+1	+0	-3	+12	-1.1
2029	24	MLB MLE	TB	53%	605	550	117	24	2	15	41	168	9	14	5	213	278	345	624	133	275	28	7	279	75	-18	+1	+0	-4	+13	-0.8
2030	25	MLB MLE	TB	55%	627	570	122	25	2	16	43	172	9	14	5	214	280	349	629	135	275	27	7	282	77	-17	+1	+0	-4	+14	-0.7
2027	22	MLB CTX	TB	34%	178	162	33	7	0	4	11	52	3	4	2	204	267	321	588	117	279	29	6	257	63	-8	+0	+0	-1	+4	-0.5
2028	23	MLB CTX	TB	48%	271	247	52	11	1	6	18	77	4	6	2	211	275	336	611	126	281	28	7	268	70	-10	+0	+0	-2	+6	-0.5
2029	24	MLB CTX	TB	53%	319	290	64	14	1	8	21	88	5	7	3	221	285	359	643	138	283	28	7	275	75	-10	+0	+0	-2	+7	-0.4
2030	25	MLB CTX	TB	55%	343	311	69	15	1	9	24	94	5	8	3	222	288	363	652	141	283	27	7	278	77	-9	+0	+0	-2	+7	-0.4
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1111	1010	218	47	3	27	74	311	17	25	10	216	281	349	629	133	282	28	7	271	63	-36	+1	+0	-7	+24	-1.8
/ 162G	—	A+C		—	650	591	127	27	2	16	43	182	10	15	6	215	280	349	628	134	280	28	7	271	63	-21	+1	+0	-4	+14	-1.1
Career	—	MLE		—	3780	3428	693	142	9	74	237	1090	79	123	37	202	269	314	583	111	270	29	6	262	63	-78	+3	+0	-14	+50	-4.0
/ 162G	—	MLE		—	650	589	119	24	2	13	41	187	14	21	6	202	270	316	586	114	269	29	6	262	63	-22	+1	+0	-4	+14	-1.1

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
#3Ryan 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
#4Jake 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
#5Nick 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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 3 projected seasons	2.2	1,431	30	33	210	270	329	-9	+0	-1.9	-1.0
/162	664	14	15	-4.0	+0.0	-0.9	pk7: 0
#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
Angel Mateo (OGILVIE)	21	50	30	50	30	192/251/292	100	269	5	10	31%	6%	54	-1.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Johnni Turbo 2010 · A	21	43→52	38→40	55	35	205/237/286	82	286	4	15	30%	4%	45	-2.7	219/255/301	82	312	5	17	30%	4%	56	-1.9	254/283/341	87	306	5	19	18%	3%	73	-0.4
✕Jonathan Ornelas 2021 · A	21	42→52	39→45	50	41	204/263/293	89	285	6	11	29%	6%	58	-1.7	228/278/329	101	310	10	10	28%	6%	72	-0.7	235/295/316	82	324	8	12	28%	7%	72	-0.6
✕Mikey Edie 2019 · A	22	48	36→30	51→50	37	220/270/286	66	325	3	15	32%	5%	59	-1.7	211/263/282	71	296	4	8	29%	4%	55	-1.9	200/250/260	60	280	3	7	28%	3%	41	-1.5
✕Tim Kennelly 2008 · A	21	43→51	40	49→40	42	208/261/301	94	283	7	7	28%	6%	59	-1.7	232/290/324	92	303	5	5	23%	7%	75	-0.5	239/300/330	91	299	5	4	20%	6%	78	-0.2
✕Jimmy Mojica 2021 · A	21	45	37→40	47→50	41	212/261/283	72	278	4	8	25%	5%	54	-2.0	201/265/286	85	284	8	6	30%	6%	57	-1.8	176/246/268	92	225	11	4	26%	5%	45	-0.8
✕James Harris 2015 · A	21	39→49	41→40	48→50	39	196/247/289	93	281	9	12	33%	6%	51	-2.3	222/283/313	91	316	7	13	30%	7%	70	-0.9	231/296/319	89	325	6	15	29%	8%	73	-0.5
✕Wascar Adames 2010 · A	21	44	38→45	52→55	39	214/256/292	79	290	6	15	28%	5%	54	-2.0	216/272/311	95	306	6	16	30%	6%	65	-1.2	210/273/322	111	299	6	24	30%	6%	69	-0.3
✕Dorssys Paulino 2016 · A	21	46→49	40→45	48→45	40	221/266/320	99	291	6	8	26%	5%	65	-1.2	229/285/334	105	306	9	7	27%	7%	75	-0.5	225/288/326	101	299	10	5	27%	8%	72	-0.3
✕Francisco Martinez 2012 · AA	21	48→52	40	46→55	38	231/263/322	91	303	7	11	26%	4%	63	-1.3	220/261/290	70	301	4	19	27%	5%	55	-1.9	216/245/291	75	294	5	19	28%	3%	46	-1.9
✕Dom Abbadessa 2019 · A	21	51	36→40	51→55	40	238/284/310	72	305	3	15	22%	4%	69	-0.9	212/272/288	76	315	3	11	31%	6%	60	-1.6	145/231/201	56	253	0	9	38%	8%	23	-0.8
✕Wes Rogers 2015 · A	21	45→51	41→40	57→65	42	217/271/315	97	295	9	18	28%	6%	65	-1.2	224/281/312	88	298	5	34	25%	7%	69	-0.9	227/285/318	91	299	5	42	24%	6%	69	-0.7
✕Kyle Nevin 2023 · A	21	41→38	40	52→50	39	198/250/294	96	274	6	10	29%	5%	53	-2.1	216/274/318	102	332	9	10	35%	7%	68	-1.0	210/271/306	96	328	9	12	36%	7%	61	-0.9
✕Ryan McKenna 2018 · A	21	45→55	41→45	53→55	39	213/270/315	102	308	8	12	32%	6%	65	-1.2	225/288/328	103	307	8	12	27%	7%	75	-0.5	213/291/342	129	316	14	13	34%	9%	78	-0.1
✕Danny Bautista Jr. 2022 · A	21	41→50	39→40	50	42	196/262/287	91	285	5	8	31%	7%	56	-1.9	222/275/304	82	277	5	12	21%	5%	65	-1.2	226/278/302	76	272	5	13	18%	5%	63	-1.0
✕Omar Luna 2008 · A	21	47→57	38→30	48→50	40	223/258/304	81	280	4	10	22%	4%	57	-1.8	212/237/270	58	264	2	11	20%	3%	40	-3.0	260/293/315	55	302	2	12	14%	3%	69	-0.5
✕Yan Sanchez 2018 · A	21	41→48	39→30	49→50	37	200/240/287	87	278	6	12	30%	4%	47	-2.6	212/255/278	66	297	4	8	28%	5%	50	-2.3	222/263/272	50	302	2	6	26%	5%	50	-1.9
✕Frank Frias 2015 · A	21	49	37→40	54→55	44	226/292/302	75	315	4	19	28%	7%	70	-0.8	223/293/326	103	344	8	10	34%	8%	77	-0.3	212/302/345	133	356	14	5	40%	10%	81	-0.0
✕Hector Pellot 2008 · A	21	45→53	39→40	48→50	41	214/271/296	82	296	6	15	29%	6%	61	-1.5	217/274/297	80	308	5	12	29%	6%	63	-1.4	217/275/296	79	313	5	10	30%	6%	59	-0.9
✕Gorge Munoz 2017 · A	21	43	38→40	50→55	42	205/260/282	78	258	5	17	22%	5%	54	-2.0	206/257/291	85	297	7	10	31%	5%	55	-1.9	189/234/268	78	291	9	9	37%	3%	38	-0.8
✕Jeff Bianchi 2008 · A	21	46→56	39→45	49→50	41	222/266/305	82	284	6	11	24%	5%	61	-1.5	232/265/342	110	312	9	13	28%	4%	69	-0.9	248/287/333	84	315	6	17	22%	5%	73	-0.5

Career Stats + Projections

Career Comps

Career Path Comps