Team 13 Westwood Racquettes
2026 NOVA Doubles 40 & Over Winter · NOVA Doubles 40 & Over Winter 3.5 Women
15 players · average NTRP 3.00 / VIRGINIA
No matches recorded for this roster in this league — it may be a placeholder registration, or the season may not have started.
Schedule9 played
i
Flight standings19 teams · NOVA Doubles 40 & Over Winter 3.5 Women
| Team | W | L | Sets lost | Games lost |
|---|---|---|---|---|
| 1Team 1 Forty Love | 8 | 1 | 12 | 166 |
| 2Team 19 Servivors | 8 | 1 | 13 | 181 |
| 3Team 17 Serves You Right | 8 | 1 | 14 | 170 |
| 4Team 14 Over Served | 7 | 2 | 18 | 198 |
| 5Team 16 Serve Me A Double 3.5 | 7 | 2 | 22 | 213 |
| 6Team 11 Causing a Racquet | 6 | 3 | 17 | 197 |
| 7Team 15 Mulanbloom 3.5 | 6 | 3 | 22 | 197 |
| 8Team 21 RBGCC 3.5 | 6 | 3 | 24 | 220 |
| 9Team 2 CCF Slicers and Dicers | 5 | 4 | 26 | 188 |
| 10Team 18 Strings Attached | 5 | 4 | 29 | 260 |
| 11Team 12 WASABI PEAS | 4 | 5 | 27 | 231 |
| 12Team 22 Love Me Nots | 4 | 5 | 30 | 245 |
| 13Team 6 All About That Ace | 4 | 5 | 32 | 250 |
| 14Team 7 SuperNovas | 3 | 6 | 39 | 276 |
| 15Team 4 Love & Deuces 3.5 | 2 | 7 | 43 | 286 |
| 16Team 8 McWilliams | 2 | 7 | 44 | 297 |
| 17Team 20 Worldgate | 1 | 8 | 41 | 258 |
| 18Team 13 Westwood Racquettes | 1 | 8 | 41 | 293 |
| 19Team 10 Wild Strings | 0 | 9 | 40 | 286 |
Ordered by team wins, then losses, then sets lost — the order USTA uses to seed a flight. Individual wins are lines, not ties.
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 2.97 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.
Doubles pairs from this roster with three or more matches together anywhere — ordered by performance against what the rating gap predicted, not by record.
| Laureen Matta + Shari Brown | 1–4 | 41% games | −2.2% vs expected |
| Jacqueline Diaz + Bradley Vineyard | 3–5 | 44% games | −9.4% vs expected |
| Linda DeViney + Ann Wyborski | 2–2 | 4 matches | not enough data |
| Shari Brown + Rachel Kim | 2–2 | 4 matches | not enough data |
| Linda DeViney + Laureen Matta | 1–2 | 3 matches | not enough data |
| Linda DeViney + Rachel Kim | 1–2 | 3 matches | not enough data |
| Shari Brown + Jacqueline Diaz | 1–2 | 3 matches | not enough data |
| Jacqueline Diaz + Erin West | 1–2 | 3 matches | not enough data |
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.
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.