Teams

Beauty & The Beast - McClung

2026 Hampton Roads Tri-Level Mixed · Hampton Roads Tri-Level Mixed 4.0, 3.5, 3.0

10 players · average NTRP 3.67 / VIRGINIA

View scouting list →
Schedule6 upcoming · 3 played
Sep 9 6:30 PM
vs
Lark Downs Park
Sep 16 6:30 PM
vs
Lark Downs Park
Sep 18 6:30 PM
vs
Lark Downs Park
Sep 23 6:30 PM
vs
Lark Downs Park
Sep 30 6:30 PM
vs
Lark Downs Park
Oct 7 6:30 PM
vs
Lark Downs Park
2026-09-02vs WinstonLost 03
L#1 DoublesMariel McClung / Mauricio Arenas vs Janet Weir / Ronald Nave3-6, 1-6
L#2 DoublesJosh Verbout / Angelica Suciu vs Christie Jackson / Christopher Dimaya6-7, 0-6
L#3 DoublesA J Suvari / Claire Walters vs Yuli Reams / Justin Pierce4-6, 4-6
2026-08-26vs WinstonLost 12
L#1 DoublesAnna Gregory / Miguel Morton vs Myong Winston / Riggs Deleon2-6, 3-6
L#2 DoublesAjay Trivedi / Maria Peek vs Tammy Willett / Roland Nave1-6, 1-6
W#3 DoublesMatthew Mazzoni / Claire Walters vs Courtney Kellam / Matthew Dey6-4, 6-2
2026-08-19vs WinstonLost 12
L#1 DoublesMauricio Arenas / Anna Gregory vs Grace Mendoza / Ronald Nave1-6, 4-6
L#2 DoublesAjay Trivedi / Angelica Suciu vs Tammy Willett / Matthew Dey0-6, 4-6
W#3 DoublesDennis Wang / Mindy Song vs Courtney Kellam / Patrick Conde6-3, 7-6
A tie can be incomplete. Tell us if someone is missing.
i
Grouped by tie — one fixture, several lines. A line shows only when a player on it is someone we have indexed, so an early-season tie for a newly-added team can look short. This also means the line count here will not match the header, which counts individual player appearances.
Flight standings1 teams · Hampton Roads Tri-Level Mixed 4.0, 3.5, 3.0
TeamWLInd. WInd. LSets lostGames lost
1Beauty & The Beast - McClung0112433

Ordered by team wins, then losses, then sets lost — the order USTA uses to seed a flight. Individual wins are lines, not ties.

See the full flight, with every team’s record

ScoutingWhere each opponent usually plays

Signed-in extra: whether this captain plays strict strength order or mixes it up, from every doubles line they have put out. Create a free account to see it.

Roster averages 3.32 estimated across 9 rated players. No lineup is published in advance, so the column below is where each player has actually been used — a captain's habits are the best available forecast. Sign in and claim your record to see who you have played.

3.90
3.85
Betty Domanski
published 4
3.79
Matthew Mazzoni
usually #3 Doubles 100% · published
3.62
A J Suvari
usually #3 Doubles 100% · published 4
3.07
Maria Peek
usually #2 Doubles 100% · published
3.05
Angelica Suciu
usually #2 Doubles 100% · published 3.5
2.98
Anna Gregory
usually #1 Doubles 100% · published 3
2.94
Ajay Trivedi
usually #2 Doubles 100% · published 3.5
2.64
Mariel McClung
usually #1 Doubles 100% · published
Mindy Song
usually #3 Doubles 100% · published
Roster

Ordered by our estimated dynamic rating, which is why two players at the same published level are not tied — a published 4.0 says nothing about where inside the band someone sits. Lines played in this team’s season are shown beside each name.

4
Christina Bartholomew
84W–48L career · no lines in 2026
<1%76%24%
3.90
4
Betty Domanski
101W–58L career · no lines in 2026
1%84%15%
3.85
Matthew Mazzoni
5W–15L career · 1 line in 2026
93%7%<1%
3.79
4
A J Suvari
60W–112L career · 1 line in 2026
20%80%<1%
3.62
Maria Peek
2W–7L career · 1 line in 2026
31%69%<1%
3.07
3.5
Angelica Suciu
0W–4L career · 2 lines in 2026
35%65%<1%
3.05
3
Anna Gregory
8W–5L career · type S · 2 lines in 2026
<1%57%43%
2.98
3.5
Ajay Trivedi
1W–19L career · 2 lines in 2026
66%34%<1%
2.94
Mariel McClung
8W–17L career · 1 line in 2026
16%84%1%
2.64
Mindy Song
4W–5L career · 1 line in 2026
not enough data

Three percentages are where each player stands right now: the chance they are below their band, inside it, or above it, on the way they are playing this season. The number on the right is our estimated dynamic rating, which USTA never publishes. This is today rather than a forecast of December, because a forecast has to assume future matches and cannot know whether someone will even be offered them. Percentages are blank where a player has too few matches this season, or at a level where the model does not yet beat a base-rate guess; the estimate is a weaker claim than a probability and survives where those do not.

Not affiliated with or endorsed by the USTA. Ratings labelled as published are USTA year-end figures; anything we describe as an estimate is ours, not USTA’s. Match data is from USTA TennisLink.