WI Adult 18&O 3.5W GML Mequon Elite Buell
2026 WI Adult 18 & Over · WI Adult 18 & Over 3.5 (Eve) Women
11 players · average NTRP 3.19 / WISCONSIN
Schedule9 played
i
Flight standings16 teams · WI Adult 18 & Over 3.5 (Eve) Women
| Team | W | L | Sets lost | Games lost |
|---|---|---|---|---|
| 1WI Adult 18&O 3.5W GML Mequon Elite Sharma | 9 | 0 | 25 | 286 |
| 2WI Adult 18&O 3.5W GML Brookfield Elite Krei | 8 | 1 | 32 | 316 |
| 3WI Adult 18&O 3.5W GML FLAC Colosimo | 7 | 2 | 27 | 290 |
| 4WI Adult 18&O 3.5W GML Brookfield Elite Harmelink | 7 | 2 | 41 | 366 |
| 5WI Adult 18&O 3.5W GML Princeton Club Premeau | 6 | 3 | 31 | 279 |
| 6WI Adult 18&O 3.5W GML Lake Country WAC Deppisch | 6 | 3 | 40 | 350 |
| 7WI Adult 18&O 3.5W GML Menomonee Falls HS Kotar | 6 | 3 | 46 | 399 |
| 8WI Adult 18&O 3.5W GML PVTC Lambo | 5 | 4 | 47 | 360 |
| 9WI Adult 18&O 3.5W GML Nicolet HS Capati | 4 | 5 | 47 | 368 |
| 10WI Adult 18&O 3.5W GML North Shore Elite Nelsen | 4 | 5 | 55 | 427 |
| 11WI Adult 18&O 3.5W GML Lake Country WAC Westlind | 3 | 6 | 57 | 419 |
| 12WI Adult 18&O 3.5W GML Princeton Club Hottinger | 3 | 6 | 65 | 445 |
| 13WI Adult 18&O 3.5W GML River Glen Heinrich | 2 | 7 | 64 | 450 |
| 14WI Adult 18&O 3.5W GML McKinley Marina Stedman | 1 | 7 | 62 | 420 |
| 15WI Adult 18&O 3.5W GML Lake Geneva Trepanier | 0 | 8 | 60 | 394 |
| 16WI Adult 18&O 3.5W GML Mequon Elite Buell | 0 | 9 | 86 | 520 |
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 2.83 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.
Doubles pairs from this roster with three or more matches together anywhere — ordered by performance against what the rating gap predicted, not by record.
| Wendy Fischer + Sharon Buell | 2–10 | 35% games | −7.1% vs expected |
| Christine Frank + Sharon Buell | 0–5 | 25% games | not enough data |
| Marjorie Mccarthy + Wendy Fischer | 0–5 | 14% games | not enough data |
| Arlenne de la Cruz + Sharon Buell | 1–3 | 4 matches | not enough data |
| Barbara Meyers + Sharon Buell | 2–1 | 3 matches | not enough data |
| Carrie Buri + Sharon Buell | 2–1 | 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.