Teams

BAY CLUB SF TENNIS 18AM4.0A

2022 ADULT 18&Over · Men's 4.0

16 players · average NTRP 4.10 / NO. CALIFORNIA

No matches recorded for this roster in this league — it may be a placeholder registration, or the season may not have started.

View scouting list →

Flight standings for Men's 4.0 have not been collected yet. Where we have them we show every team in the flight ranked, with this team highlighted. The crawler is still filling in older seasons and flights.

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 3.76 estimated across 11 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.

Ali Jafri
published 4.5
3.98
Nicholas Benson
published
3.88
Rohith Pottabathni
published
3.85
Kelemen Papp
published
3.83
Shuntaro Takeuchi
published
3.82
Abhijeet Kumar
published 4
3.81
Todd Lewis
published
3.79
Sean Moore
published
3.75
Romeo Rodriguez
published
Gokul Suresh
published 4
3.65
Angus Wong
published 4
3.63
Samprith Kalakata
published
3.31
Miquel Banket
published
Jeffrey Tsai
published
Richie Mathews
published
Roster

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.

4.5
Ali Jafri
0W–1L career · no lines in 2022
not enough data
Nicholas Benson
4W–10L career · no lines in 2022
55%45%<1%
3.98
Rohith Pottabathni
3W–6L career · no lines in 2022
83%17%<1%
3.88
Kelemen Papp
8W–2L career · no lines in 2022
<1%87%12%
3.85
Shuntaro Takeuchi
9W–9L career · no lines in 2022
1%90%10%
3.83
4
Abhijeet Kumar
8W–5L career · no lines in 2022
1%91%8%
3.82
Todd Lewis
20W–13L career · no lines in 2022
1%92%8%
3.81
Sean Moore
8W–7L career · no lines in 2022
1%93%5%
3.79
Romeo Rodriguez
4W–2L career · no lines in 2022
3%95%3%
3.75
4
Benjamin Softness
1W–0L career · no lines in 2022
not enough data
4
Gokul Suresh
25W–16L career · no lines in 2022
not enough data
4
Angus Wong
4W–4L career · no lines in 2022
13%87%<1%
3.65
Samprith Kalakata
4W–1L career · no lines in 2022
15%84%<1%
3.63
Miquel Banket
0W–6L career · no lines in 2022
93%7%<1%
3.31
Jeffrey Tsai
3W–0L career · no lines in 2022
not enough data
Richie Mathews
0W–1L career · no lines in 2022
not enough data

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.