COE VanWieren WSL A40-3.0W
2026 WMI WSL Adult 40&Over Weekday Leagues · WMI WSL A40&O 3.0 W (6 player)
9 players · average NTRP 3.00 / WESTERN MICHIGAN
No matches recorded for this roster in this league — it may be a placeholder registration, or the season may not have started.
Schedule8 played
i
Flight standings9 teams · WMI WSL A40&O 3.0 W (6 player)
| Team | W | L | Sets lost | Games lost |
|---|---|---|---|---|
| 1WH Kamerling WSL A40-3.0W | 5 | 2 | 20 | 192 |
| 2PTC Chandler WSL A40-3.0W | 5 | 2 | 24 | 183 |
| 3HC Rix WSL A40-3.0W | 4 | 3 | 18 | 175 |
| 4MVC Miller-Heys WSL A40-3.0W | 4 | 3 | 19 | 182 |
| 5MVS McMahon WSL A40-3.0W | 4 | 3 | 21 | 173 |
| 6ML Birtles WSL A40-3.0W | 4 | 3 | 23 | 194 |
| 7COE VanWieren WSL A40-3.0W | 2 | 5 | 25 | 184 |
| 8MY Guy WSL A40-3.0W# | 0 | 0 | 0 | 0 |
| 9MVC Stafford WSL A40-3.0W | 0 | 7 | 40 | 246 |
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 2.67 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.
| Anne Witherill + Mary Bratschi-VanWieren | 2–8 | 43% games | +7.2% vs expected |
| Kathy Shih + Mary Bratschi-VanWieren | 2–3 | 49% games | −1.1% vs expected |
| Marcia Bratschi-Gresens + Mary Bratschi-VanWieren | 6–11 | 43% games | −1.7% vs expected |
| Nancy Lange + Anne Witherill | 5–7 | 41% games | −5.6% vs expected |
| Nancy Lange + Kathy Shih | 2–3 | 47% games | not enough data |
| Nancy Lange + Mary Bratschi-VanWieren | 1–4 | 36% games | not enough data |
| Marcia Bratschi-Gresens + Jill Mazzola | 3–2 | 47% games | not enough data |
| Kathy Shih + Lisette Poletes | 5–0 | 73% games | 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.