Teams

PLEASANTON 40AM3.5A

2022 ADULT 40&Over · Men's 3.5

10 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 →
Schedule7 played
2022-04-02vs PLEASANTON 40AM3.5ELost 01
L#1 SinglesNarayana Rao Surapaneni vs Sasi Poruri0-6, 0-6
2022-03-12vs WILLOW PASS PK 40AM3.5AWon 10
W#1 DoublesSunil Dasanagadde / Narayana Rao Surapaneni vs Lou Salvador / Ravindra Samson4-6, 4-2
2022-03-05Lost 01
L#1 SinglesManoj Lakinana vs Amit Guliani5-7, 1-6
2022-02-13Lost 01
L#1 SinglesManoj Lakinana vs Gautam Tankha5-7, 5-7
2022-02-12vs CROW CANYON CC 40AM3.5ALost 01
L#3 DoublesSreekanth Chinthalapalli / Narayana Rao Surapaneni vs Douglas Modena / Vishal Shenoy2-6, 1-6
2022-02-06Lost 01
L#2 DoublesRamasamy Thangaraj / Narayana Rao Surapaneni vs Amit Guliani / Patrick Chan4-6, 7-5, 0-1
2022-01-09vs PLEASANTON 40AM3.5ELost 01
L#1 SinglesNarayana Rao Surapaneni vs Abdul Rahim3-6, 1-6
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 3.5 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 3.26 estimated across 9 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
Ritesh Bhandari
published
3.46
Sathyanand Balan
published
3.26
Chaitanya Mamdur
published 3.5
3.24
Sreerama Garikapati
published
3.14
3.13
Narayana Rao Surapaneni
usually #1 Singles 44%, also #1 Doubles 33% · published 3.5
2.90
Manoj Lakinana
usually #1 Singles 56%, also #1 Doubles 33% · published 3
2.66
Santosh Bisht
published
Raymond Hool
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
Chaitanya Mamdur + Vamsikrishna Paladugu033 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 2022
1%93%6%
3.79
Ritesh Bhandari
15W–8L career · no lines in 2022
3%95%3%
3.75
Sathyanand Balan
0W–4L career · no lines in 2022
63%37%<1%
3.46
3.5
Chaitanya Mamdur
4W–9L career · no lines in 2022
2%95%3%
3.26
Sreerama Garikapati
5W–7L career · no lines in 2022
3%95%2%
3.24
Vamsikrishna Paladugu
1W–9L career · no lines in 2022
13%86%<1%
3.14
3.5
Narayana Rao Surapaneni
87W–76L career · 9 lines in 2022
15%85%<1%
3.13
3
Manoj Lakinana
65W–53L career · 9 lines in 2022
<1%77%23%
2.90
Santosh Bisht
1W–2L career · no lines in 2022
11%88%<1%
2.66
Raymond Hool
5W–5L 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.