1BRC-ALOUSI 35M 40&O AD WED SEM F1
2022 SEM ADULT 40 & OVER NIGHT MEN · 3.5 MEN WED PM SEM
18 players · average NTRP 3.59 / S.E. 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 standings18 teams · 3.5 MEN WED PM SEM
| Team | W | L | Sets lost | Games lost |
|---|---|---|---|---|
| 15SCWB-MAYORAS 35M 40&O AD WED SEM F4 | 8 | 0 | 23 | 288 |
| 21BRC-ALOUSI 35M 40&O AD WED SEM F1 | 8 | 0 | 28 | 270 |
| 34PEACH-SELLERS 35M 40&O AD WED SEM F3 | 8 | 1 | 18 | 261 |
| 41HV-BAHROU 35M 40&O AD WED SEM F2 | 8 | 1 | 34 | 305 |
| 53DCD-MILLER 35M 40&O AD WED SEM F1 | 6 | 2 | 31 | 311 |
| 61NAC-WRIGHT 35M 40&O AD WED SEM F4 | 6 | 2 | 40 | 354 |
| 71LIFE-ARIMA 35M 40&O AD WED SEM F3 | 6 | 3 | 46 | 396 |
| 82LIB-STPIERRE 35M 40&O AD WED SEM F2 | 5 | 4 | 47 | 406 |
| 94TROY-SINGH 35M 40&O AD WED SEM F1 | 4 | 4 | 42 | 343 |
| 106SCWB-WOODS 35M 40&O AD WED SEM F4 | 3 | 5 | 53 | 394 |
| 114CHIP-JONES 35M 40&O AD WED SEM F2 | 3 | 6 | 60 | 466 |
| 123EAST-COBAU 35M 40&O AD WED SEM F3 | 3 | 6 | 61 | 452 |
| 133DEER-GURN 35M 40&O AD WED SEM F4 | 2 | 6 | 55 | 418 |
| 146SCWB-outside-GAY 35M 40&O AD WED SEM F1 | 2 | 6 | 57 | 400 |
| 153VTC-inside-FEUSTEL 35M 40&O AD WED SEM F2 | 2 | 7 | 64 | 467 |
| 162FAC-RUDORF 35M 40&O AD WED SEM F4 | 1 | 7 | 58 | 418 |
| 172WESS-CHAUDHURI 35M 40&O AD WED SEM F3 | 1 | 8 | 71 | 476 |
| 185BOH-CONTI 35M 40&O AD WED SEM F1 | 0 | 8 | 66 | 430 |
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 3.30 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.
| Sam MacKool + Kent Martini | 10–4 | 53% games | +3.9% vs expected |
| Sam MacKool + Benjamin Reigle | 17–12 | 52% games | +0.8% vs expected |
| RICHARD SARLE + Jason Danielewicz | 6–1 | 58% games | not enough data |
| Hamid Alousi + Sam MacKool | 2–3 | 46% games | not enough data |
| Hamid Alousi + David Corp | 2–3 | 51% games | not enough data |
| Robert Wogan + Thomas Shelly | 2–2 | 4 matches | not enough data |
| Robert Wogan + Guillaume Beliard | 3–0 | 3 matches | not enough data |
| Robert Wogan + RICHARD SARLE | 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.