Teams

PLEASANTON 18AM3.5A

2023 ADULT 18&Over · Men's 3.5

16 players · average NTRP 3.60 / 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 3.47 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.

3.79
Dave McConnell
published 4
3.75
Ken Ong
published
3.74
Sam Li
published
3.69
Ram Subramanian
published
3.64
Prakash Durgani
published
3.57
Dan Helmer
published 3.5
3.54
Sudhish Verma
published
3.46
Sathyanand Balan
published
3.36
Maximiliano Renna
published
3.30
3.26
Chaitanya Mamdur
published 3.5
3.24
Sreerama Garikapati
published
3.17
Alan Ly
published 3.5
3.13
Narayana Rao Surapaneni
usually #2 Doubles 60%, also #1 Doubles 20% · published 3.5
Jesse Terrel-Perez
published
Ramesh Pachiannan
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.

Chaitanya Mamdur + Sreerama Garikapati224 matchesnot enough data
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
Dave McConnell
11W–15L career · no lines in 2023
1%93%6%
3.79
Ken Ong
28W–9L career · no lines in 2023
3%95%3%
3.75
Sam Li
16W–11L career · no lines in 2023
3%94%2%
3.74
Ram Subramanian
15W–5L career · no lines in 2023
7%92%1%
3.69
Prakash Durgani
5W–5L career · no lines in 2023
14%86%<1%
3.64
3.5
Dan Helmer
37W–14L career · type A · no lines in 2023
<1%30%70%
3.57
Sudhish Verma
2W–3L career · no lines in 2023
38%62%<1%
3.54
Sathyanand Balan
0W–4L career · no lines in 2023
63%37%<1%
3.46
Maximiliano Renna
8W–5L career · no lines in 2023
<1%85%14%
3.36
Nathan Michael Mertz
4W–11L career · no lines in 2023
1%93%6%
3.30
3.5
Chaitanya Mamdur
4W–9L career · no lines in 2023
2%95%3%
3.26
Sreerama Garikapati
5W–7L career · no lines in 2023
3%95%2%
3.24
3.5
Alan Ly
3W–1L career · no lines in 2023
10%90%1%
3.17
3.5
Narayana Rao Surapaneni
87W–76L career · 10 lines in 2023
15%85%<1%
3.13
Jesse Terrel-Perez
1W–4L career · no lines in 2023
not enough data
Ramesh Pachiannan
0W–2L 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.