Teams

PLEASANTON 18AM3.0A

2023 ADULT 18&Over · Men's 3.0

15 players · average NTRP 3.30 / 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 →
Schedule3 played
2023-05-17vs ROUND HILL CC 18AM3.0AWon 10
W#2 DoublesFaisal Ahmad / Praveen Gadi vs Donald Lewis / Hector Vizcarrondo6-2, 6-4
2023-05-06vs CROW CANYON CC 18AM3.0ALost 01
L#3 DoublesPraveen Gadi / Sachin Shetti vs Ronnie Ghosh / Peter Houston4-6, 6-2, 0-1
2023-04-26Won 10
W#3 DoublesFaisal Ahmad / Praveen Gadi vs Shaun Hui / Salem Zahiri6-3, 6-3
A tie can be incomplete. Tell us if someone is missing.
i
Grouped by tie — one fixture, several lines. A line shows only when a player on it is someone we have indexed, so an early-season tie for a newly-added team can look short. This also means the line count here will not match the header, which counts individual player appearances.

Flight standings for Men's 3.0 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 3.15 estimated across 13 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.

3.61
Sam Li
published
3.51
3.49
Spencer Huang
published
3.33
Digvijay Ankoti
published 3.5
3.23
ANAND MADDULA
published 3.5
3.22
Harshal Kulkarni
published
3.13
Narayana Rao Surapaneni
usually #2 Doubles 60%, also #1 Doubles 20% · published 3.5
3.13
Faisal Ahmad
published
2.97
Sachin Shetti
published
2.91
Nandan Gururaj
published
2.87
Praveen Gadi
usually #3 Doubles 83%, also #2 Doubles 17% · published 3
2.85
Chandra Mundra
published 3
2.67
Pranit Kapadekar
published
Sandeep Rohilla
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.

Sam Li
16W–11L career · no lines in 2023
<1%21%79%
3.61
Sreekanth Gannavarapu
1W–6L career · no lines in 2023
48%52%<1%
3.51
Spencer Huang
8W–6L career · no lines in 2023
54%46%<1%
3.49
3.5
Digvijay Ankoti
6W–8L career · no lines in 2023
1%87%12%
3.33
3.5
ANAND MADDULA
7W–11L career · no lines in 2023
5%92%2%
3.23
Harshal Kulkarni
5W–11L career · no lines in 2023
6%92%2%
3.22
3.5
Narayana Rao Surapaneni
87W–76L career · 10 lines in 2023
17%82%<1%
3.13
Faisal Ahmad
5W–2L career · no lines in 2023
<1%17%83%
3.13
Sachin Shetti
3W–2L career · no lines in 2023
<1%58%42%
2.97
Nandan Gururaj
3W–2L career · no lines in 2023
<1%74%26%
2.91
3
Praveen Gadi
50W–31L career · 6 lines in 2023
<1%82%18%
2.87
3
Chandra Mundra
13W–8L career · no lines in 2023
1%84%15%
2.85
Pranit Kapadekar
3W–5L career · no lines in 2023
11%88%1%
2.67
Sandeep Rohilla
1W–2L career · no lines in 2023
not enough data
Vijay Kumar Jandhyala
0W–1L 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.