Teams

PLEASANTON 40AM3.5B

2023 ADULT 40&Over · Men's 3.5

12 players · average NTRP 3.29 / 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 →
Schedule16 played
2023-03-18vs BLACKHAWK CC 40AM3.5AWon 30
W#1 DoublesShiv Sharma / Satyendra Sharma vs Nathan Duda / Ashok Ganesan6-4, 7-6
W#2 DoublesGautam Mylavarapu / Narayana Rao Surapaneni vs Jingjun JJ Cao / Saurabh Shrivastava6-2, 6-4
W#3 DoublesPraveen Gadi / Gautam Joshi vs Seth Catalli / Dean Williams6-2, 7-6
L#3 DoublesSandeep Sharma / Shiv Sharma vs Amod Ghangurde / Andrey Izmaylov4-6, 4-6
2023-03-15Won 20
W#2 DoublesPraveen Gadi / Kishore Sundaresan vs N/A6-0, 6-0
W#3 DoublesDattu Akella / Manoj Lakinana vs N/A6-0, 6-0
2023-03-05vs CROW CANYON CC 40AM3.5ALost 01
L#1 DoublesChandra Mundra / Praveen Gadi vs Chad Harrison / Steve Heninger4-6, 1-6
2023-03-05vs LANEY TA/ALAMEDA HS 40AM3.5AWon 10
W#3 DoublesShiv Sharma / Jagdish Daram vs Dennis Tan Mendoza / Rey Melencion7-5, 6-2
2023-03-02vs BLACKHAWK CC 40AM3.5ASplit 11
L#2 DoublesShiv Sharma / Ravi Gunturu vs Saurabh Shrivastava / Jingjun JJ Cao4-6, 5-7
W#3 DoublesNarayana Rao Surapaneni / Vamsikrishna Paladugu vs David Ly / Seth Catalli6-3, 2-6, 1-0
W#3 DoublesShiv Sharma / Kanagasabapathi Balasubramanian vs Ronald Lee / Chris Picht6-1, 7-5
2023-02-19vs CROW CANYON CC 40AM3.5ALost 02
L#1 DoublesANAND MADDULA / Shiv Sharma vs Chad Harrison / Dennis Mcsweeney2-6, 3-6
L#1 SinglesManoj Lakinana vs Cliff Johnson2-6, 4-6
2023-02-18Won 10
W#3 DoublesJagdish Daram / Shiv Sharma vs Aaron Levy / Scott Briskman6-2, 6-2
L#1 SinglesManoj Lakinana vs Bob Garrett3-6, 6-1, 0-1
L#2 DoublesNarayana Rao Surapaneni / Gautam Joshi vs Jeff Bennett / Sergio Castillo6-4, 2-6, 0-1
W#3 DoublesDattu Akella / Shiv Sharma vs Doug van Slyke / Andrey Izmaylov6-1, 6-3
2023-02-12vs WALNUT COUNTRY 40AM3.5AWon 10
W#2 DoublesJasbir Gulati / Shiv Sharma vs John Shum / David Pintado4-6, 6-4, 1-0
2023-02-06vs PLEASANTON 40AM3.5DSplit 11
L#1 DoublesGautam Mylavarapu / Narayana Rao Surapaneni vs Dan Helmer / Nimesh Gandhi1-6, 4-6
W#2 DoublesShiv Sharma / Dattu Akella vs Melvin San Pedro / Paul Purdy6-4, 6-4
2023-01-28vs WALNUT COUNTRY 40AM3.5AWon 10
W#3 DoublesHenry Navarro / Shiv Sharma vs Reid Cooper / Craig Uhle6-2, 1-6, 1-0
2023-01-24vs DIAMOND HILLS 40AM3.5BWon 10
W#3 DoublesShiv Sharma / Kishore Sundaresan vs Conan Moats / John Bahns6-4, 4-6, 1-0
2023-01-22vs ROUND HILL CC 40AM3.5AWon 10
W#2 DoublesSreekanth Gannavarapu / Shiv Sharma vs Sean Holliday / Ken Haworth6-2, 6-3
2023-01-08vs DOUGHERTY VALLEY HS 40AM3.5ALost 01
L#2 DoublesVamsikrishna Paladugu / Narayana Rao Surapaneni vs Suresh Lankalapalli / SUBRAMANIAN VENKATAPATHY0-6, 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 3.22 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.

3.82
Satyendra Sharma
published
3.54
3.41
Raghupal Bejjanki
published
3.27
Dattu Akella
usually #2 Doubles 71%, also #3 Doubles 29% · published 3.5
Shiv Sharma
usually #3 Doubles 54%, also #2 Doubles 31% · published 3.5
3.24
ANAND MADDULA
published 3.5
3.14
3.13
Narayana Rao Surapaneni
usually #2 Doubles 44%, also #3 Doubles 44% · published 3.5
2.90
Manoj Lakinana
usually #1 Singles 71%, also #2 Doubles 14% · published 3
2.87
Chandra Mundra
published 3
2.87
Praveen Gadi
usually #2 Doubles 43%, also #3 Doubles 29% · published 3
Sandeep Rohilla
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.

Narayana Rao Surapaneni + Shiv Sharma6261% gamesnot enough data
Manoj Lakinana + Shiv Sharma5065% gamesnot enough data
Dattu Akella + Shiv Sharma303 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.

Satyendra Sharma
4W–3L career · no lines in 2023
1%91%8%
3.82
Sreekanth Gannavarapu
1W–6L career · no lines in 2023
38%62%<1%
3.54
Raghupal Bejjanki
11W–5L career · no lines in 2023
<1%76%24%
3.41
3.5
Dattu Akella
53W–35L career · 7 lines in 2023
2%94%4%
3.27
3.5
Shiv Sharma
69W–27L career · 13 lines in 2023
not enough data
3.5
ANAND MADDULA
7W–11L career · no lines in 2023
3%94%2%
3.24
Vamsikrishna Paladugu
1W–9L career · no lines in 2023
13%86%<1%
3.14
3.5
Narayana Rao Surapaneni
87W–76L career · 9 lines in 2023
15%85%<1%
3.13
3
Manoj Lakinana
65W–53L career · 7 lines in 2023
<1%77%23%
2.90
3
Chandra Mundra
13W–8L career · no lines in 2023
<1%84%16%
2.87
3
Praveen Gadi
50W–31L career · 7 lines in 2023
<1%85%15%
2.87
Sandeep Rohilla
1W–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.