Angel Mateo

OF Charleston RiverDogs

Age 22 R/R 6'1" / 190 lbs A HR -6%H +4% Svc 0.0 · Ctrl thru 2037

Overview

APROSPECTMiLBFA 2038

ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2025	20	A+TB	92	.241/.341/.354	1	1	54	—	.185/.275/.272
2025	20	ATB	388	.282/.348/.383	6	16	70	—	.242/.296/.321
2026	21	A+TB	122	.200/.267/.309	2	4	17	—	.149/.192/.237
2026	21	ATB	154	.248/.351/.436	5	7	70	—	.201/.279/.345
2027PROJ0% MLB	22	MLBTB	408	.202/.263/.299	6	9	59	-0.7
2028PROJ34% MLB	23	MLBTB	110	.209/.271/.315	2	2	65	-0.3
2029PROJ46% MLB	24	MLBTB	184	.213/.276/.326	4	4	70	-0.3

Next 3 projected WAR -1.3Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2037Service0.0First FA2038

2027MiLB2028MiLB2029MiLB2030MiLB2031MiLB2032Pre-Arb$0.9M2033Ext$0.9M2034Ext$1.0M+3

Skills · percentileMiLB Statcast 2026 A+

Z-Con%63

Speed47

K%39

Chase%32

Whiff%30

ISO29

Career WAR0 WAR median (P10 -0 / P90 0, comp-based) · star 1% · didn't stick 93%

CompsTrendon Craig (age 22) · Connor Kokx (age 22) · Evan Mendoza (age 22)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 280 proj PA

wRC+†59

AVG/OBP/SLG.200 / .261 / .297

PA280

HR4

SB6

K%29

BB%6

ISO98

MLB%0%

Value2027 · 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 2032

Service 0 yrs (est)

Team Control Through 2037

First FA Year 2038

Year	Status	Salary	Proj WAR	Value	Surplus
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	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
2037	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$-1M	+$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. 2027 = actual YTD + projected ROS + total. 2028+ 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	45	—	—	—	—	—	—
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	26	—	—	—	—	—	—
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	49	—	—	—	—	—	—
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	44	—	—	—	—	—	—
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	—	—	—	—	—	—
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	54	—	—	—	—	—	—
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	70	—	—	—	—	—	—
2026	21	A+	Bowling Green Hot Rods	—	122	110	22	6	0	2	9	32	1	4	1	200	267	309	576	109	256	26	7	259	17	—	—	—	—	—	—
2026	21	A	Charleston RiverDogs	—	154	133	33	8	1	5	19	35	2	7	4	248	351	436	787	188	301	23	12	352	70	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2022	17	ROK MLE	DSL Tampa Bay	—	210	178	29	4	0	3	20	45	10	10	3	163	284	236	520	73	192	21	10	235	45	—	—	—	—	—	—
2023	18	A MLE	Charleston RiverDogs	—	45	42	8	2	0	0	2	19	1	3	1	190	244	238	483	48	334	42	4	206	26	—	—	—	—	—	—
2023	18	ROK MLE	FCL Rays	—	197	177	33	5	1	3	9	52	10	12	0	186	265	277	542	90	237	26	5	241	49	—	—	—	—	—	—
2024	19	A MLE	Charleston RiverDogs	—	409	366	63	18	0	6	29	144	10	26	6	172	252	270	522	98	252	35	7	233	44	—	—	—	—	—	—
2025	20	A+ MLE	Bowling Green Hot Rods	—	92	81	15	4	0	1	5	18	5	1	0	185	275	272	546	86	225	20	5	248	54	—	—	—	—	—	—
2025	20	A MLE	Charleston RiverDogs	—	388	355	86	14	1	4	20	96	7	16	7	242	296	321	617	79	306	25	5	272	70	—	—	—	—	—	—
2026	21	A+ MLE	Bowling Green Hot Rods	—	122	114	17	4	0	2	5	42	1	4	1	149	192	237	429	88	212	34	4	194	17	—	—	—	—	—	—
2026	21	A MLE	Charleston RiverDogs	—	154	139	28	6	1	4	13	48	2	7	4	201	279	345	625	144	271	31	8	271	70	—	—	—	—	—	—
2022	17	ROK MLE	DSL Tampa Bay	—	210	178	29	4	0	3	20	45	10	10	3	163	284	236	520	73	197	21	10	235	45	—	—	—	—	—	—
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	45	—	—	—	—	—	—
2023	18	ROK MLE	2 teams	—	242	218	40	6	1	3	12	71	11	15	1	183	261	261	523	78	255	29	5	234	45	—	—	—	—	—	—
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	45	—	—	—	—	—	—
2024	19	A MLE	2 teams	—	528	472	80	23	0	7	38	185	12	28	7	169	249	263	512	93	255	35	7	233	44	—	—	—	—	—	—
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	44	—	—	—	—	—	—
2025	20	A MLE	2 teams	—	480	436	102	19	1	5	25	114	12	17	7	234	294	317	610	83	299	24	5	267	67	—	—	—	—	—	—
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	67	—	—	—	—	—	—
2026	21	A MLE	2 teams	—	276	253	46	11	1	6	18	90	3	11	5	182	245	304	549	123	252	33	7	237	47	—	—	—	—	—	—
2026	21	A RAW	2 teams	—	276	243	55	14	1	7	28	67	3	11	5	226	314	379	692	152	281	24	10	311	47	—	—	—	—	—	—
2022	17	ROK MLE	DSL Tampa Bay	—	210	178	29	4	0	3	20	45	10	10	3	163	284	236	520	73	192	21	10	235	45	—	—	—	—	—	—
2023	18	ROK MLE	2 teams	—	242	217	40	6	1	3	12	71	11	15	1	184	261	263	524	78	255	29	5	234	45	—	—	—	—	—	—
2024	19	A MLE	2 teams	—	528	473	80	23	0	7	38	185	12	28	7	169	249	262	511	93	252	35	7	233	44	—	—	—	—	—	—
2025	20	A MLE	2 teams	—	480	440	102	19	1	5	25	114	12	17	7	232	294	314	608	82	290	24	5	267	67	—	—	—	—	—	—
2026	21	A MLE	2 teams	—	276	253	46	11	1	6	18	90	3	11	5	182	245	304	549	123	245	33	7	237	47	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	19	A MLE	2 teams	—	528	473	80	23	0	7	38	185	12	28	7	169	249	262	511	93	252	35	7	233	44	—	—	—	—	—	—
2025	20	A MLE	2 teams	—	480	440	102	19	1	5	25	114	12	17	7	232	294	314	608	82	290	24	5	267	67	—	—	—	—	—	—
2026	21	A MLE	2 teams	—	276	253	46	11	1	6	18	90	3	11	5	182	245	304	549	123	245	33	7	237	47	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	22	MLB MLE	TB	0%	408	374	75	16	1	6	25	119	6	9	3	202	263	299	562	98	276	29	6	255	59	-20	+1	+0	-2	+9	-0.7
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	23	MLB MLE	TB	34%	321	293	61	13	1	6	20	91	5	7	3	208	270	316	586	108	277	28	6	265	65	-13	+0	+0	-2	+7	-0.8
2029	24	MLB MLE	TB	46%	398	363	77	16	1	8	26	111	6	9	3	212	275	327	602	115	279	28	7	271	70	-14	+1	+0	-2	+9	-0.8
2030	25	MLB MLE	TB	52%	442	404	86	18	1	9	29	122	6	10	3	214	278	333	611	119	280	28	7	275	72	-15	+1	+0	-3	+10	-0.7
2031	26	MLB MLE	TB	54%	468	426	91	19	1	10	32	128	7	10	4	215	280	336	617	121	280	27	7	278	74	-14	+0	+0	-3	+10	-0.7
2032	27	MLB MLE	TB	54%	479	436	93	19	1	10	33	130	7	10	4	216	281	337	619	122	280	27	7	278	75	-15	+0	+0	-3	+10	-0.7
2028	23	MLB CTX	TB	34%	110	100	20	4	0	2	7	31	2	2	1	209	271	315	586	106	280	28	6	265	65	-5	+0	+0	-1	+2	-0.3
2029	24	MLB CTX	TB	46%	184	167	36	7	1	4	12	51	3	4	1	213	276	326	602	113	282	28	7	272	70	-7	+0	+0	-1	+4	-0.3
2030	25	MLB CTX	TB	52%	228	208	45	9	1	5	15	63	3	5	2	215	279	332	611	117	282	28	7	275	72	-7	+0	+0	-1	+5	-0.4
2031	26	MLB CTX	TB	54%	254	231	50	10	1	5	17	69	4	5	2	217	282	335	617	119	283	27	7	278	74	-8	+0	+0	-2	+6	-0.4
2032	27	MLB CTX	TB	54%	260	236	51	10	1	5	18	71	4	5	2	217	283	336	619	119	283	27	7	279	75	-8	+0	+0	-2	+6	-0.4
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1036	942	202	40	4	21	69	285	16	21	8	214	279	332	612	118	282	28	7	275	62	-34	+1	+0	-6	+22	-1.8
/ 162G	—	A+C		—	650	591	127	25	3	13	43	179	10	13	5	215	280	333	613	118	284	28	7	275	62	-22	+1	+0	-4	+14	-1.1
Career	—	MLE		—	4124	3736	757	159	9	71	270	1169	83	133	42	203	271	307	578	104	272	28	7	260	62	-85	+3	+0	-14	+52	-4.6
/ 162G	—	MLE		—	650	589	119	25	1	11	43	184	13	21	7	202	272	304	576	102	271	28	7	260	62	-23	+1	+0	-4	+14	-1.2

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
#2Chris Heiseylast yr '17 career totals — 8 seasons, 1,758 PA	2.6	1,758	62	25	238	296	413	-18	+3	3.0	3.2
/162	664	23	9	-6.7	+1.0	1.1	pk7: 4
#3Jake Powell'30-'45 * career totals — 8 seasons, 2,767 PA	4.2	2,767	22	65	248*	294*	373*	-14	-2	0.2	2.0
/162	664	5	16	-3.3	-0.5	0.0	pk7: 4
#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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 3 projected seasons	2.0	1,316	25	28	212	272	327	-8	+0	-1.7	-0.9
/162	664	13	14	-4.0	+0.0	-0.9	pk7: 0
#5Rip Russell'39-'47 * career totals — 5 seasons, 1,522 PA	2.3	1,522	29	4	236*	279*	389*	-16	-12	-2.7	-2.7
/162	664	13	2	-6.9	-5.1	-1.2	pk7: -3
#6Fritz Mollwitz'13-'19 * career totals — 6 seasons, 1,904 PA	2.9	1,904	1	70	242*	287*	361*	-34	-8	-5.1	-5.1
/162	664	0	24	-11.8	-2.8	-1.8	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
Angel Mateo (OGILVIE)	22	50	30	50	30	200/261/297	97	276	4	6	29%	6%	59	-0.8	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Trendon Craig 2022 · A	22	47	39→40	49→60	41	218/278/307	88	318	6	13	31%	6%	67	-1.1	219/288/293	74	347	4	17	35%	8%	68	-1.0	218/291/284	67	347	4	22	35%	8%	64	-0.7
✕Connor Kokx 2022 · A	22	46	39→40	52→60	42	213/304/302	89	309	6	12	30%	7%	77	-0.3	208/294/292	84	286	6	20	27%	9%	71	-0.8	201/292/275	74	278	6	26	27%	9%	63	-0.6
✕Evan Mendoza 2018 · A	22	45→52	42→30	53→50	37	223/255/334	112	293	9	10	27%	4%	63	-1.3	234/276/314	80	304	6	5	24%	5%	66	-1.1	230/273/287	57	309	4	9	26%	5%	57	-1.3
✕Nick Sinay 2016 · A	22	44	38→30	47→60	44	205/291/283	78	296	5	10	30%	8%	68	-1.0	200/316/255	55	279	3	22	27%	8%	73	-0.6	184/317/219	35	263	2	30	26%	8%	63	-0.6
✕Charcer Burks 2017 · A	22	41→48	40	52→50	44	200/267/293	93	278	6	17	29%	7%	59	-1.6	209/281/303	94	291	7	14	28%	8%	68	-1.0	205/279/290	85	284	6	14	28%	8%	62	-1.2
✕Dakota Harris 2024 · A	22	44→52	40→45	52→55	38	209/272/303	94	305	7	11	32%	6%	64	-1.3	230/277/334	104	296	11	15	25%	5%	73	-0.6	231/281/335	104	291	12	21	24%	5%	71	-0.5
✕Ryan Vega 2019 · A	22	47	40	47→45	44	225/281/316	92	289	7	7	24%	6%	70	-0.9	192/259/278	86	294	7	7	34%	7%	53	-2.1	158/232/234	76	244	8	6	36%	7%	32	-2.1
✕Dru Baker 2022 · A	22	45→55	38→40	56→60	41	213/265/295	82	297	4	14	29%	6%	59	-1.7	241/298/346	105	336	10	30	29%	7%	83	+0.1	250/304/340	90	346	8	39	28%	6%	80	-0.1
✕Gabriel Guerrero 2016 · AA	22	46→53	42→45	51→50	36	225/256/330	105	310	9	11	30%	4%	63	-1.4	221/253/329	108	295	9	6	27%	4%	61	-1.5	232/258/343	112	312	11	4	29%	3%	64	-1.0
✕Jeff Bianchi 2009 · A	22	44→54	42→45	50	36	215/248/326	111	287	9	12	28%	4%	59	-1.6	237/274/335	98	314	7	15	26%	5%	71	-0.8	247/287/332	85	313	7	17	22%	5%	73	-0.6
✕Blake Rambusch 2023 · A	23	47	37→30	52→65	42	219/286/293	74	316	4	14	30%	7%	67	-1.1	231/319/297	66	315	3	29	25%	9%	80	-0.1	237/325/293	56	311	2	37	22%	9%	78	-0.1
✕Josh McLain 2019 · A	22	50	38→40	44→50	37	239/273/318	79	316	5	11	26%	3%	66	-1.1	205/251/288	83	305	5	11	33%	5%	51	-2.2	106/153/150	43	184	0	15	40%	4%	-18	-1.2
✕Corey Joyce 2021 · A	22	45	40	50	39	212/268/307	95	312	8	8	33%	6%	63	-1.4	203/292/311	108	294	11	12	32%	9%	74	-0.5	214/316/317	103	300	9	14	28%	10%	82	+0.0
✕Hector Pellot 2009 · A	22	45→54	38→40	46→50	41	213/272/292	79	299	6	14	29%	6%	61	-1.5	220/277/304	84	317	5	11	30%	6%	65	-1.2	219/278/299	79	317	5	10	30%	6%	61	-0.9
✕Danny Bautista Jr. 2023 · A	22	45→50	39→40	45→50	43	216/278/308	92	286	6	8	25%	6%	67	-1.1	226/275/305	79	271	5	14	18%	5%	65	-1.2	228/274/296	69	265	4	16	15%	5%	60	-1.1
✕Johnni Turbo 2011 · A	22	46→51	38→40	55	35	215/253/295	80	316	5	17	32%	4%	54	-2.0	229/262/312	83	304	6	17	26%	4%	61	-1.5	250/280/336	86	301	6	19	18%	3%	70	-0.5
✕Zac Law 2018 · A	22	44→45	39→40	48→50	39	214/256/300	86	279	7	12	26%	4%	56	-1.9	216/275/303	87	277	7	10	23%	5%	65	-1.2	207/272/282	75	258	6	10	21%	5%	60	-0.4
✕Miguel Villarroel 2024 · A	22	46→53	38→40	53→55	42	222/268/302	80	280	6	15	22%	5%	61	-1.5	226/263/302	76	326	5	24	30%	4%	59	-1.7	229/267/301	72	337	4	28	32%	4%	57	-0.9
✕Estarlin Martinez 2014 · A	22	44	40	52→50	44	215/268/307	92	277	7	14	25%	6%	63	-1.4	230/278/296	66	303	3	12	24%	6%	63	-1.4	240/286/289	49	315	1	11	23%	5%	62	-0.8
✕Tyler Henson 2010 · AA	22	45→53	41→45	50→55	35	217/256/316	99	312	9	12	33%	4%	60	-1.6	220/266/319	99	325	8	9	33%	6%	64	-1.3	219/274/340	122	329	10	15	35%	6%	71	-0.5

Angel Mateo

Career Stats + Projections

Career Comps

Career Path Comps