Teams

Chung - Dynamic Duos

2026 Howard Combo · Howard Combo 7.5 Women

12 players · average NTRP 3.71 / MARYLAND

No matches recorded for this roster in this league — it may be a placeholder registration, or the season may not have started.

View scouting list →
Flight standings6 teams · Howard Combo 7.5 Women
TeamWLInd. WInd. LSets lostGames lost
1Oaksmith000000
2Chung - Dynamic Duos000000
3Davidson - Sets in the City 7.5000000
4MacDonald - MacAttack 7.5000000
5Penn Pals - Jenkins/Celtnieks000000
6Quinlan - It's Ons000000

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 3.47 estimated across 11 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.

3.78
Wenxi Li
published
3.70
Kim Steffen
published 4
3.67
Desiree Drakakis
published 4
3.65
Ashten Rea
published 4
3.50
Sanghee Lee
published
3.49
Chengyin Wu
published 3.5
3.46
Anna Shin
published 3.5
3.35
Linda Tsai
published
3.29
GENA CHUNG
published 3.5
3.28
Cora Ho
published 3.5
3.04
Karen Jones
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.

GENA CHUNG + Linda Tsai314 matchesnot enough data
GENA CHUNG + Sanghee Lee123 matchesnot 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.

Wenxi Li
28W–16L career · no lines in 2026
2%92%5%
3.78
4
Kim Steffen
114W–95L career · no lines in 2026
7%91%2%
3.70
4
Desiree Drakakis
20W–22L career · no lines in 2026
11%88%1%
3.67
4
Ashten Rea
143W–116L career · no lines in 2026
15%85%1%
3.65
Sanghee Lee
37W–20L career · no lines in 2026
<1%51%49%
3.50
3.5
Chengyin Wu
87W–33L career · no lines in 2026
<1%54%46%
3.49
3.5
Anna Shin
20W–16L career · no lines in 2026
<1%62%38%
3.46
Linda Tsai
11W–5L career · no lines in 2026
1%85%14%
3.35
3.5
GENA CHUNG
122W–130L career · no lines in 2026
2%92%6%
3.29
3.5
Cora Ho
120W–87L career · no lines in 2026
2%92%6%
3.28
Maria Cristina Sanchez
10W–11L career · no lines in 2026
39%61%<1%
3.04
Karen Jones
1W–2L career · no 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.