WI Adult 18&O 3.0 W GML METRO Hamilton
2022 WI Adult 18 & Over · WI Adult 18 & Over 3.0 (Eve) Women
9 players · average NTRP 2.83 / WISCONSIN
Schedule9 played
i
Flight standings12 teams · WI Adult 18 & Over 3.0 (Eve) Women
| Team | W | L | Sets lost | Games lost |
|---|---|---|---|---|
| 1WI Adult 18&O 3.0 W GML FLAC Greving | 7 | 0 | 18 | 223 |
| 2WI Adult 18&O 3.0 W GML Princeton Washburn | 6 | 1 | 18 | 217 |
| 3WI Adult 18&O 3.0 W GML METRO Riverside | 6 | 3 | 44 | 377 |
| 4WI Adult 18&O 3.0 W GML Lake Geneva Fait | 5 | 2 | 24 | 248 |
| 5WI Adult 18&O 3.0 W GML METRO Hamilton | 5 | 4 | 42 | 361 |
| 6WI Adult 18&O 3.0 W GML Village Club Duffy | 4 | 3 | 35 | 294 |
| 7WI Adult 18&O 3.0 W GML METRO Wick 1 | 4 | 5 | 43 | 384 |
| 8WI Adult 18&O 3.0 W GML FLAC Ferkins | 3 | 4 | 53 | 350 |
| 9WI Adult 18&O 3.0 W GML METRO Wick 2 | 3 | 6 | 64 | 457 |
| 10WI Adult 18&O 3.0 W GML PVCT Cimpl | 2 | 5 | 42 | 314 |
| 11WI Adult 18&O 3.0 W GML Highlander Krei | 1 | 6 | 53 | 355 |
| 12WI Adult 18&O 3.0 W GML Highlander Hofbauer | 0 | 7 | 63 | 405 |
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 2.65 estimated across 6 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.
| Stephanie Santiago + Elise MacIk | 6–3 | 61% games | +6.3% vs expected |
| Darla Leitermann + Katie Leitermann | 3–7 | 45% games | −1.7% vs expected |
| Erin Welcenbach + Anjali Sharma | 1–5 | 44% games | −2.1% vs expected |
| Katie Leitermann + Erin Welcenbach | 6–2 | 56% games | −3.2% vs expected |
| Darla Leitermann + Stephanie Santiago | 3–3 | 49% games | −3.4% vs expected |
| Melanie Koenig + Carole Nicksin | 2–10 | 29% games | −6.5% vs expected |
| Darla Leitermann + Melanie Koenig | 3–16 | 32% games | −17.7% vs expected |
| Darla Leitermann + Elise MacIk | 1–3 | 4 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.