2SCWB-WOODS AD40&O MO 35 MEN SEM F4
2024 SEM ADULT 40 & OVER NIGHT MEN · 3.5 MEN MON PM SEM
16 players · average NTRP 3.42 / 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.
Schedule9 played
i
Flight standings19 teams · 3.5 MEN MON PM SEM
| Team | W | L | Sets lost | Games lost |
|---|---|---|---|---|
| 14NAC-FITZPATRICK AD40&O MO 35 MEN SEM F4 | 9 | 0 | 27 | 319 |
| 25HV-BAHROU AD40&O MO 35 MEN SEM F3 | 8 | 0 | 26 | 284 |
| 31PEACH-SELLERS AD40&O MO 35 MEN SEM F2 | 7 | 1 | 22 | 285 |
| 41TROY-SINGH AD40&O MO 35 MEN SEM F1 | 7 | 1 | 29 | 282 |
| 52LIFE-ARIMA AD40&O MO 35 MEN SEM F2 | 6 | 2 | 34 | 337 |
| 63FAC-ADAPA AD40&O MO 35 MEN SEM F4 | 6 | 3 | 48 | 389 |
| 76LIB-STPIERRE AD40&O MO 35 MEN SEM F3 | 5 | 3 | 32 | 319 |
| 83DET-XU AD40&O MO 35 MEN SEM F1 | 5 | 3 | 40 | 332 |
| 94VTC-inside-MINTZ AD40&O MO 35 MEN SEM F3 | 5 | 3 | 43 | 345 |
| 102BRC-ALOUSI AD40&O MO 35 MEN SEM F1 | 4 | 4 | 39 | 326 |
| 116DEER-GURN AD40&O MO 35 MEN SEM F2 | 4 | 4 | 43 | 356 |
| 125PH-TOUMA AD40&O MO 35 MEN SEM F2 | 3 | 5 | 49 | 364 |
| 132CHIP-JONES AD40&O MO 35 MEN SEM F3 | 2 | 6 | 55 | 371 |
| 144DCD-NOLAN AD40&O MO 35 MEN SEM F1 | 2 | 6 | 60 | 429 |
| 155BOH-CONTI AD40&O MO 35 MEN SEM F1 | 2 | 6 | 63 | 424 |
| 162SCWB-WOODS AD40&O MO 35 MEN SEM F4 | 2 | 7 | 65 | 448 |
| 171SCWB-GAY AD40&O MO 35 MEN SEM F4 | 1 | 8 | 71 | 484 |
| 181MONY-CRONENWETT AD40&O MO 35 MEN SEM F3 | 0 | 8 | 66 | 445 |
| 194EAST-COBAU AD40&O MO 35 MEN SEM F2 | 0 | 8 | 73 | 457 |
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 3.23 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.
| Nathan Bining + Steve Buettner | 6–3 | 58% games | not enough data |
| Trinadha Rao Bonula + Bhadri Ballem | 5–3 | 53% games | not enough data |
| Shiraz Bhagwagar + Dennis Riley | 5–2 | 60% games | not enough data |
| SRINIVAS ARCOTA + Bhadri Ballem | 2–2 | 4 matches | not enough data |
| Mark Sikina + SRINIVAS ARCOTA | 0–3 | 3 matches | not enough data |
| Nathan Bining + Richard Hamilton | 0–3 | 3 matches | not enough data |
| Shiraz Bhagwagar + Steve Buettner | 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.