Teams

No Man's Land

2026 Washington D.C. Singles · Washington D.C. Singles 3.5 Women

5 players · average NTRP 3.50 / WASHINGTON D.C.

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 →
Schedule7 played
2026-08-30vs Single Lady Noon BallersLost 12
W#1 SinglesMary Binecki vs Socheata Kim6-0, 5-3
L#2 SinglesNoeline Arul vs Amber Surmiller5-7
L#3 SinglesMargaret Stump vs Hannah Yoo3-6, 2-4
2026-08-29vs Pair JordansWon 21
W#1 SinglesMargaret Stump vs Lena Brandenburg6-2, 6-1
W#2 SinglesMary Binecki vs Fri-Atsoh AchiriMofor6-1, 6-1
L#3 SinglesNoeline Arul vs Tennille Goff0-6, 3-6
2026-08-08vs WangWon 30
W#1 SinglesOlivia Tate vs Chloe Han6-3, 6-2
W#2 SinglesWendy Burger vs Shan Jiang6-1, 6-1
W#3 SinglesMary Binecki vs Qing Lin6-1, 6-1
2026-08-02vs SpinergyWon 21
W#1 SinglesWendy Burger vs Lily Schwegler6-4, 5-3
W#2 SinglesOlivia Tate vs Nancy Hersh6-3, 4-2
L#3 SinglesNoeline Arul vs Bella Bidzhieva4-6, 0-1
2026-07-19vs Set2WinWon 30
W#1 SinglesMary Binecki vs Pamela Gelfond4-6, 4-0
W#2 SinglesWendy Burger vs Elizabeth Blair6-1, 4-4
W#3 SinglesMargaret Stump vs Caitlin Bergo6-0, 6-3
2026-07-12vs DC Tennis ClubWon 30
W#1 SinglesMary Binecki vs Suzanne Bell6-1, 5-3
W#2 SinglesMargaret Stump vs Whitney Paxson6-4, 1-2
W#3 SinglesWendy Burger vs Melissa Dibben6-0, 6-3
2026-06-21vs WangWon 20
W#1 SinglesMargaret Stump vs Wenbo Li6-3, 4-0
W#2 SinglesOlivia Tate vs Shan Jiang6-0, 6-5
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 standings7 teams · Washington D.C. Singles 3.5 Women
TeamWLInd. WInd. LSets lostGames lost
1No Man's Land05141463
2Pair Jordans051051094
3Set2Win05961087
4Single Lady Noon Ballers051141294
5Spinergy058714107
6Wang0601833193
7DC Tennis Club0751628195

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 3.24 estimated across 5 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.

3.54
Mary Binecki
usually #3 Singles 38%, also #1 Singles 38% · published 3.5
3.28
Margaret Stump
usually #3 Singles 40%, also #1 Singles 40% · published
3.27
Wendy Burger
usually #2 Singles 50%, also #3 Singles 25% · published
3.24
Olivia Tate
usually #2 Singles 67%, also #1 Singles 33% · published
2.88
Noeline Arul
usually #3 Singles 67%, also #2 Singles 33% · 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.

3.5
Mary Binecki
81W–48L career · 8 lines in 2026
<1%39%61%
3.54
Margaret Stump
6W–5L career · 5 lines in 2026
2%94%5%
3.28
Wendy Burger
10W–7L career · 4 lines in 2026
2%94%4%
3.27
Olivia Tate
6W–5L career · 3 lines in 2026
3%94%2%
3.24
Noeline Arul
16W–46L career · 3 lines in 2026
82%18%<1%
2.88

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.