WI Low Tri W Doubles (Late Fall) MALT Wegner
2025 WI Other · WI Low Tri Women Doubles (Late Fall)
13 players · average NTRP 4.12 / WISCONSIN
Schedule9 played
i
Flight standings7 teams · WI Low Tri Women Doubles (Late Fall)
| Team | W | L | Sets lost | Games lost |
|---|---|---|---|---|
| 1WI Low Tri W Doubles (Late Fall) MALT Mavlyutov | 11 | 1 | 22 | 252 |
| 2WI Low Tri W Doubles (Late Fall) MALT Wegner | 9 | 3 | 26 | 246 |
| 3WI Low Tri W Doubles (Late Fall) MALT Bradshaw | 8 | 4 | 28 | 269 |
| 4WI Low Tri W Doubles (Late Fall) MALT Fenster | 6 | 6 | 35 | 281 |
| 5WI Low Tri W Doubles (Late Fall) MALT Oakley | 4 | 6 | 31 | 251 |
| 6WI Low Tri W Doubles (Late Fall) MALT Black | 2 | 9 | 52 | 344 |
| 7WI Low Tri W Doubles (Late Fall) MALT Palreddy | 0 | 11 | 61 | 382 |
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 3.40 estimated across 10 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.
| Kristin Bohl + Pallavi Tiwari | 9–0 | 71% games | +15.6% vs expected |
| Holly Wegner + Shayna Mace | 4–3 | 50% games | +2.5% vs expected |
| Amberlee Baugus + Samantha Saetang | 7–2 | 60% games | −14.5% vs expected |
| Pallavi Tiwari + Amberlee Baugus | 5–1 | 67% games | not enough data |
| Jenny Bradley + Jannea Wood | 2–3 | 46% games | not enough data |
| Pallavi Tiwari + Samantha Saetang | 4–0 | 4 matches | not enough data |
| Holly Wegner + Karen Weisbrod | 2–2 | 4 matches | not enough data |
| Holly Wegner + Tara Mohan | 4–0 | 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.