WI Adult 40&O 4.0W GML Lake Geneva Winchell
2025 WI Adult 40 & Over · WI Adult 40 & Over 4.0 Women (Eve)
14 players · average NTRP 3.75 / WISCONSIN
Schedule9 played
i
Flight standings14 teams · WI Adult 40 & Over 4.0 Women (Eve)
| Team | W | L | Sets lost | Games lost |
|---|---|---|---|---|
| 1WI Adult 40&O 4.0W GML Lake Country WAC Picard | 8 | 1 | 16 | 215 |
| 2WI Adult 40&O 4.0W GML FLAC Trost | 8 | 1 | 24 | 277 |
| 3WI Adult 40&O 4.0W GML Mequon Elite Orthober | 8 | 1 | 29 | 303 |
| 4WI Adult 40&O 4.0W GML Lake Country WAC Kossoris | 8 | 1 | 37 | 320 |
| 5WI Adult 40&O 4.0W GML PVTC Neinas | 6 | 3 | 38 | 352 |
| 6WI Adult 40&O 4.0W GML Brookfield East HS Wille | 5 | 4 | 57 | 411 |
| 7WI Adult 40&O 4.0W GML Princeton Club Witt | 4 | 5 | 49 | 394 |
| 8WI Adult 40&O 4.0W GML Brookfield East HS Moskow | 4 | 5 | 56 | 434 |
| 9WI Adult 40&O 4.0W GML River Glen Elite Ellegard | 4 | 5 | 58 | 434 |
| 10WI Adult 40&O 4.0W GML Mequon Elite Dyer | 4 | 5 | 70 | 477 |
| 11WI Adult 40&O 4.0W GML Lake Country WAC Abhold | 2 | 7 | 70 | 490 |
| 12WI Adult 40&O 4.0W GML Lake Geneva Winchell | 1 | 8 | 67 | 442 |
| 13WI Adult 40&O 4.0W GML Oconomowoc HS Hesse | 1 | 8 | 73 | 467 |
| 14WI Adult 40&O 4.0W GML Lifesport Racine Khan | 0 | 9 | 74 | 463 |
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 3.45 estimated across 8 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.
| Cari Alberts + Rita Lukey | 6–2 | 68% games | +10.5% vs expected |
| Elizabeth Quigley + Rita Lukey | 4–2 | 63% games | +9.9% vs expected |
| Danielle Winchell + Kimberly Beres | 5–7 | 50% games | +4.9% vs expected |
| Rachel Hockemeyer + Jennifer Turzenski | 3–4 | 43% games | +2.0% vs expected |
| Rachel Hockemeyer + Elaine Sellenheim | 4–4 | 51% games | not enough data |
| Rita Lukey + Madeleine Engerman | 4–0 | 4 matches | not enough data |
| Kathleen Roach + Danielle Winchell | 0–3 | 3 matches | not enough data |
| Kristen Fletcher + Lauren Kaiser | 0–3 | 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.