CDTA S 18&OW3.5 3.MT Chi Brown Sat 1 $30
CDTA 1Summer Adult 18 & Over · CDTA 18 & Over W 3.5 Summer
17 players · average NTRP 3.57 / CHICAGO
No matches recorded for this roster in this league — it may be a placeholder registration, or the season may not have started.
Schedule7 played
i
Flight standings12 teams · CDTA 18 & Over W 3.5 Summer
| Team | W | L | Sets lost | Games lost |
|---|---|---|---|---|
| 1CDTA A18&O 3.5W MT Pal Cappas | 6 | 1 | 30 | 260 |
| 2CDTA S 18&OW3.5 5.Tam Battin Tue 7 $22 | 6 | 1 | 32 | 269 |
| 3CDTA S 18&OW3.5 3.MT Chi Brown Sat 1 $30 | 5 | 2 | 27 | 214 |
| 4CDTA S 18&OW3.5 4.MT Bann Schwan Thur 6:30 $25 | 5 | 2 | 34 | 293 |
| 5CDTA S 18&OW3.5 6.Tam Lund Mon 7 $22 | 4 | 3 | 32 | 289 |
| 6CDTA S 18&OW3.5 8.Nielsen Bergman Sun 5 $22 | 4 | 3 | 43 | 311 |
| 7CDTA S 18&OW3.5 1.Centennial Harrison Sun 1 $20 | 3 | 4 | 36 | 290 |
| 8CDTA S 18&OW3.5 7.Glenbrook Chern Tue 6:30 $25 | 3 | 4 | 45 | 331 |
| 9CDTA S 18&OW3.5 11.Lake Bluff Lozada Thur 6:30 $22 | 3 | 4 | 46 | 314 |
| 10CDTA S 18&OW3.5 10.Centennial Crisham Sat 3 $20 | 2 | 5 | 47 | 351 |
| 11CDTA S 18&OW3.5 2.Barrington Thorn Tues 7 $20 | 1 | 6 | 47 | 331 |
| 12CDTA S 18&OW3.5 12.Forest View Werts Mon 7 $23 | 0 | 7 | 51 | 362 |
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 3.35 estimated across 15 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.
| Jill Buckley + Alexandra Anlas | 6–1 | 53% games | +9.2% vs expected |
| Jill Buckley + Illana Hodges | 9–2 | 63% games | +8.8% vs expected |
| Jamie Burns + Rachel Fuller | 10–5 | 59% games | +8.5% vs expected |
| Jill Buckley + Janet Hanks | 4–4 | 52% games | +6.6% vs expected |
| Jill Buckley + Jane Ford | 12–11 | 51% games | +6.3% vs expected |
| Rachel Fuller + Michelle Ramker | 5–6 | 46% games | +5.2% vs expected |
| Jamie Burns + Erin Baker | 6–4 | 56% games | +4.8% vs expected |
| Kajal Sangal + Jill Buckley | 2–6 | 43% games | −4.5% vs expected |
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.