Teams

Chancellor's - Ball Bangers

Mixed 18 & Over 6.0 - 10.0 · 9.0

18 players · average NTRP 4.39 / TEXAS

View scouting list →
Schedule6 played
2026-06-16vs LLTC - Game TheoryWon 21
W#1 DoublesJulie Diep / Gia Khanh Nguyen vs Andy Chan / Olivia Hu6-3, 7-5
W#2 DoublesAlexander Rusli / Jenny Suh vs Ethan Cho / Chanel Glasper6-0, 7-6
L#3 DoublesSo Youn Youn / Jeson Li vs Neha Shaw / Tomas Lopes6-7, 6-7
2026-06-14vs LLTC - Game TheoryWon 21
L#1 DoublesSo Youn Youn / Jeson Li vs Lac-Hong Pham / Egor Morozov3-6, 4-6
W#2 DoublesJulie Diep / Lening Wang vs Renata Neaton / David Neaton6-2, 6-4
W#3 DoublesAlex Kornajcik / Gia Khanh Nguyen vs Olivia Hu / Andy Chan6-1
2026-05-31vs LLTC - Young SwingersWon 21
L#1 DoublesSo Youn Youn / Lening Wang vs Emily Kha / Trung Trinh4-6, 6-7
W#2 DoublesLawrence Chang / Julie Diep vs Kamil Noorani / Bianca Posada6-1, 5-7, 1-0
W#3 DoublesShelby Fillingame / Gia Khanh Nguyen vs Andy Narido Jr / Kristin Barnes6-4, 6-1
2026-05-10vs LLTC - Young SwingersWon 21
W#1 DoublesLawrence Chang / Jenny Suh vs Leigh Martin / Joshua Minns7-6, 6-1
W#2 DoublesJames Bui / Shelby Fillingame vs Emily Kha / Ethan Bui2-6, 6-1, 1-0
L#3 DoublesJeson Li / Kimberly Elliott vs Arun Nanjappa / Kristin Barnes0-6, 6-4, 0-1
2026-05-03vs LLTC - Game TheoryWon 30
W#1 DoublesJames Bui / Shelby Fillingame vs David Neaton / Chanel Glasper6-2, 6-3
W#2 DoublesAnh Truong / Sean Liu vs Egor Morozov / Renata Neaton6-2, 7-5
W#3 DoublesGia Khanh Nguyen / Cindy Tiu vs Tomas Lopes / Neha Shaw6-1, 6-3
2026-04-19vs LLTC - Young SwingersLost 12
L#1 DoublesSean Liu / Cindy Tiu vs Trung Trinh / Emily Kha3-6, 6-4, 0-1
L#2 DoublesAlexander Rusli / Alex Kornajcik vs Joshua Minns / Leigh Martin6-0, 2-6, 0-1
W#3 DoublesLawrence Chang / Jenny Suh vs Andy Narido Jr / Kristin Barnes6-1, 6-3
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 standings3 teams · 9.0
TeamWLInd. WInd. LSets lostGames lost
1Chancellor's - Ball Bangers5112614136
2LLTC - Young Swingers4212617159
3LLTC - Game Theory0631530214

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 4.24 estimated across 14 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.

4.54
Shelby Fillingame
usually #2 Doubles 40%, also #1 Doubles 40% · published
4.48
Cindy Tiu
usually #1 Doubles 50%, also #3 Doubles 50% · published 4.5
4.47
Alexander Rusli
usually #2 Doubles 100% · published 4.5
4.42
Gia Khanh Nguyen
usually #3 Doubles 75%, also #1 Doubles 25% · published 4.5
4.41
James Bui
usually #2 Doubles 60%, also #1 Doubles 40% · published 4.5
4.37
Sean Liu
usually #1 Doubles 43%, also #2 Doubles 29% · published
4.36
Lawrence Chang
usually #2 Doubles 50%, also #1 Doubles 33% · published
4.32
Alex Kornajcik
usually #1 Doubles 50%, also #2 Doubles 33% · published 4.5
4.26
Debanjolee Das
usually #3 Doubles 67%, also #1 Doubles 33% · published 4.5
4.10
Lening Wang
usually #2 Doubles 50%, also #1 Doubles 50% · published
4.07
Antony Leung
published 4.5
3.97
Kimberly Elliott
usually #2 Doubles 60%, also #3 Doubles 40% · published
3.86
Jenny Suh
usually #2 Doubles 43%, also #3 Doubles 29% · published
Anh Truong
usually #2 Doubles 100% · published 4
3.73
Don Bae
usually #3 Doubles 100% · published 4
Jeson Li
usually #3 Doubles 67%, also #1 Doubles 33% · published
Julie Diep
usually #2 Doubles 67%, also #1 Doubles 33% · published
So Youn Youn
usually #1 Doubles 67%, also #3 Doubles 33% · published
Established pairs

Doubles pairs from this roster with three or more matches together anywhere — ordered by performance against what the rating gap predicted, not by record.

Gia Khanh Nguyen + Julie Diep6062% gamesnot enough data
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.

Shelby Fillingame
66W–16L career · 5 lines in 2026
<1%37%63%
4.54
4.5
Cindy Tiu
40W–18L career · 2 lines in 2026
<1%57%43%
4.48
4.5
Alexander Rusli
18W–6L career · 2 lines in 2026
<1%60%40%
4.47
4.5
Gia Khanh Nguyen
21W–3L career · 4 lines in 2026
<1%72%28%
4.42
4.5
James Bui
96W–18L career · 5 lines in 2026
<1%76%24%
4.41
Sean Liu
65W–17L career · 7 lines in 2026
<1%83%16%
4.37
Lawrence Chang
55W–13L career · 6 lines in 2026
<1%86%14%
4.36
4.5
Alex Kornajcik
62W–14L career · 6 lines in 2026
1%91%8%
4.32
4.5
Debanjolee Das
40W–17L career · 3 lines in 2026
2%94%4%
4.26
Lening Wang
80W–38L career · 4 lines in 2026
<1%23%77%
4.10
4.5
Antony Leung
37W–26L career · no lines in 2026
31%69%<1%
4.07
Kimberly Elliott
176W–56L career · 5 lines in 2026
>99%<1%<1%
3.97
Jenny Suh
27W–2L career · 7 lines in 2026
<1%86%14%
3.86
4
Anh Truong
5W–1L career · type A · 1 line in 2026
not enough data
4
Don Bae
10W–5L career · 1 line in 2026
4%94%2%
3.73
Jeson Li
6W–8L career · 3 lines in 2026
not enough data
Julie Diep
10W–0L career · 3 lines in 2026
not enough data
So Youn Youn
1W–4L career · 3 lines 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.