1FAC-ADAPA 65MEN SEM F1
2024 SEM FALL COMBO DOUBLES · MEN 65 COMBO SEM
17 players · average NTRP 3.40 / 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 standings14 teams · MEN 65 COMBO SEM
| Team | W | L | Sets lost | Games lost |
|---|---|---|---|---|
| 11FAC-VISWANATHA 65MEN SEM F2 | 9 | 0 | 11 | 127 |
| 21FAC-ADAPA 65MEN SEM F1 | 8 | 1 | 21 | 209 |
| 33LIB-BRICENO 65MEN SEM F3 | 7 | 3 | 20 | 212 |
| 46MONY-GLENN 65MEN SEM F3 | 7 | 3 | 30 | 270 |
| 55HV-CLARK 65MEN SEM F3 | 6 | 4 | 31 | 276 |
| 64TROY-VONDELL 65MEN SEM F2 | 5 | 4 | 31 | 229 |
| 72VTC-FITZPATRICK 65MEN SEM F3 | 5 | 5 | 39 | 279 |
| 82EAST-BONVENTRE 65MEN SEM F1 | 4 | 5 | 30 | 261 |
| 94PH-EVENSON 65MEN SEM F1 | 3 | 6 | 36 | 251 |
| 103BLOOM-CHUKKAPALLI 65MEN SEM F2 | 3 | 6 | 36 | 258 |
| 113PEACH-NIEWOIT 65MEN SEM F1 | 3 | 6 | 37 | 251 |
| 124LIB-KATAKOWSKI 65MEN SEM F3 | 3 | 7 | 43 | 301 |
| 131DEAR-FAWAZ 65MEN SEM F3 | 2 | 8 | 47 | 330 |
| 142FAC-WHITE 65MEN SEM F2 | 1 | 8 | 47 | 299 |
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 3.21 estimated across 14 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.
| Venkat Adapa + Chandra Gopalam | 19–3 | 66% games | +5.7% vs expected |
| Trinadha Rao Bonula + Bhadri Ballem | 5–3 | 53% games | not enough data |
| Chandra Gopalam + Phalgun Balasubramaniam | 5–2 | 59% games | not enough data |
| Kiran Nellutla + SRINIVASA DODDIPATLA | 4–1 | 71% games | not enough data |
| Krishna Kottapali + Kiran Nellutla | 4–0 | 4 matches | not enough data |
| Venkat Adapa + Timothy Kurtz | 4–0 | 4 matches | not enough data |
| Francis Vatakencherry + Rajendra Shekhawat | 3–0 | 3 matches | not enough data |
| Francis Vatakencherry + Kiran Nellutla | 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.