3TROY-SINGH 35M 18&O AD MON SEM F1
2022 SEM ADULT 18 & OVER NIGHT MEN · 3.5 MEN MON PM SEM
20 players · average NTRP 3.45 / 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 standings21 teams · 3.5 MEN MON PM SEM
| Team | W | L | Sets lost | Games lost |
|---|---|---|---|---|
| 14FAC-DEMICK 35M 18&O AD MON SEM F5 | 9 | 0 | 22 | 296 |
| 23EAST-STUDDERS 35M 18&O AD MON SEM F4 | 9 | 0 | 33 | 339 |
| 32MONY-GLENN 35M 18&O AD MON SEM F2 | 8 | 1 | 38 | 353 |
| 43TROY-SINGH 35M 18&O AD MON SEM F1 | 7 | 1 | 36 | 308 |
| 51LIB-KORNFELD 35M 18&O AD MON SEM F2 | 7 | 2 | 30 | 344 |
| 64RCAA-LIN 35M 18&O AD MON SEM F3 | 7 | 2 | 37 | 381 |
| 74PEACH-SELLERS 35M 18&O AD MON SEM F4 | 6 | 3 | 29 | 318 |
| 81SCWB-MAYORAS 35M 18&O AD MON SEM F5 | 6 | 3 | 37 | 357 |
| 93VTC-inside-MOSLEY 35M 18&O AD MON SEM F3 | 6 | 3 | 46 | 375 |
| 101BRC-CHU 35M 18&O AD MON SEM F1 | 4 | 4 | 51 | 388 |
| 116DET-XU 35M 18&O AD MON SEM F1 | 3 | 5 | 44 | 322 |
| 125RO-ALOUSI 35M 18&O AD MON SEM F1 | 3 | 5 | 47 | 352 |
| 134DCD-MILLER 35M 18&O AD MON SEM F1 | 3 | 5 | 50 | 368 |
| 142LIB-STPIERRE 35M 18&O AD MON SEM F3 | 3 | 6 | 70 | 478 |
| 151HV-ENRIGHT 35M 18&O AD MON SEM F3 | 2 | 7 | 58 | 404 |
| 162NAC-GARRETT 35M 18&O AD MON SEM F5 | 2 | 7 | 62 | 443 |
| 174AAREC-KAISER-pio 35M 18&O AD MON SEM F2 | 2 | 7 | 64 | 448 |
| 181EAST-ZAMPARDO 35M 18&O AD MON SEM F4 | 2 | 7 | 65 | 463 |
| 193CHIP-EMPSON 35M 18&O AD MON SEM F2 | 1 | 8 | 70 | 473 |
| 203DEER-EWALD 35M 18&O AD MON SEM F5 | 1 | 8 | 74 | 498 |
| 212EAST-MITCHELL 35M 18&O AD MON SEM F4 | 1 | 8 | 79 | 505 |
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 3.19 estimated across 12 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.
| AMANPREET SINGH + Bart Feys | 8–4 | 56% games | +6.0% vs expected |
| Michael Ogilvie + Brett Holmes | 6–1 | 63% games | +1.2% vs expected |
| Michael Ogilvie + AMANPREET SINGH | 0–5 | 37% games | not enough data |
| Venkatesh Babu + Jiten Thakkar | 3–2 | 48% games | not enough data |
| Steve Dimsdale + Steven Naseef | 2–2 | 4 matches | not enough data |
| Steven Naseef + AMANPREET SINGH | 3–1 | 4 matches | not enough data |
| Colin Miller + Steve Dimsdale | 3–0 | 3 matches | not enough data |
| Bart Feys + Xavier Vericat Torres | 2–1 | 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.