WI Adult 18&O 4.0 W GML Arrowhead HS Webster
2022 WI Adult 18 & Over · WI Adult 18 & Over 4.0 Women (Eve)
15 players · average NTRP 3.93 / WISCONSIN
Schedule10 played
i
Flight standings12 teams · WI Adult 18 & Over 4.0 Women (Eve)
| Team | W | L | Sets lost | Games lost |
|---|---|---|---|---|
| 1WI Adult 18&O 4.0 W GML Princeton Witt | 9 | 1 | 33 | 341 |
| 2WI Adult 18&O 4.0 W GML Badger HS Siehoff | 9 | 1 | 35 | 351 |
| 3WI Adult 18&O 4.0 W GML Highlander Kossoris | 8 | 2 | 44 | 403 |
| 4WI Adult 18&O 4.0 W GML Mequon Elite Symes-Orosz | 7 | 3 | 42 | 375 |
| 5WI Adult 18&O 4.0 W GML Western Racquet Wergin | 7 | 3 | 51 | 434 |
| 6WI Adult 18&O 4.0 W GML River Glen Kurszewski | 5 | 5 | 58 | 453 |
| 7WI Adult 18&O 4.0 W GML FLAC Boyd | 5 | 5 | 61 | 461 |
| 8WI Adult 18&O 4.0 W GML Lake County WAC Rozman | 4 | 6 | 68 | 489 |
| 9WI Adult 18&O 4.0 W GML Arrowhead HS Webster | 3 | 7 | 53 | 462 |
| 10WI Adult 18&O 4.0 W GML Princeton Herrmann | 3 | 7 | 67 | 480 |
| 11WI Adult 18&O 4.0 W GML PVTC Tighe | 0 | 10 | 75 | 520 |
| 12WI Adult 18&O 4.0 W GML Elm Grove Knudten | 0 | 10 | 86 | 548 |
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 3.68 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.
Doubles pairs from this roster with three or more matches together anywhere — ordered by performance against what the rating gap predicted, not by record.
| Michelle Webster + Dale Sloan | 30–14 | 59% games | +4.4% vs expected |
| Rae Krivohlavek + Pamela Flores | 43–28 | 53% games | +1.6% vs expected |
| Michelle Webster + Rae Krivohlavek | 11–6 | 52% games | −0.7% vs expected |
| Kaitlin Brandl + Megan Schoenenberger | 2–2 | 4 matches | not enough data |
| Michelle Webster + Liza Meyer | 0–3 | 3 matches | not enough data |
| Michelle Webster + Lisa Kopfer | 3–0 | 3 matches | not enough data |
| Dale Sloan + Jessica DeGroot | 2–1 | 3 matches | not enough data |
| Heidi Gennerman + Liza Meyer | 3–0 | 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.