Teams

BRAMHALL PK 18AM3.5A

2023 ADULT 18&Over · Men's 3.5

12 players · average NTRP 3.50 / 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 3.5 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 3.48 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.

3.69
Ram Subramanian
published
3.67
Tim Chew
published
3.63
Neil Gurnani
published
3.61
Mark Alves
published
3.61
Matthew Liem
published
3.37
Shi Dong
published
3.33
Wei-Cheng Kuo
published
3.33
Eyal Ron
published
3.28
Anton Andreev
published 3.5
3.28
Jingfan Sun
published
Peter Su
published
Scott Jen
published
Established pairs

Doubles pairs from this roster with three or more matches together anywhere — ordered by performance against what the rating gap predicted, not by record.

Jingfan Sun + Shi Dong2351% games+3.8% vs expected
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.

Ram Subramanian
15W–5L career · no lines in 2023
9%90%1%
3.69
Tim Chew
9W–8L career · no lines in 2023
12%87%1%
3.67
Neil Gurnani
6W–8L career · no lines in 2023
18%81%<1%
3.63
Mark Alves
20W–38L career · no lines in 2023
<1%22%78%
3.61
Matthew Liem
14W–6L career · no lines in 2023
22%78%<1%
3.61
Shi Dong
36W–21L career · no lines in 2023
<1%82%18%
3.37
Wei-Cheng Kuo
8W–9L career · no lines in 2023
1%87%12%
3.33
Eyal Ron
11W–5L career · no lines in 2023
1%88%11%
3.33
3.5
Anton Andreev
33W–31L career · no lines in 2023
2%92%6%
3.28
Jingfan Sun
10W–12L career · no lines in 2023
2%92%6%
3.28
Peter Su
1W–4L career · no lines in 2023
not enough data
Scott Jen
4W–0L career · no lines in 2023
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.