Teams

PLEASANTON CM7.5F

2023 COMBO · Men 7.5

15 players · average NTRP 3.71 / 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 →
Schedule4 played
2023-10-26vs PLEASANTON CM7.5ALost 01
L#1 DoublesAnand Kumar / Shiv Sharma vs Vishal Saboo / Jeffrey Cannon3-6, 6-7
2023-10-15vs CROW CANYON CC CM7.5ALost 01
L#1 DoublesBobby Chittepu / Shiv Sharma vs Kevin Jarvis / Dennis Mcsweeney1-6, 6-4, 0-1
2023-10-07vs MISSION HILLS CM7.5AWon 10
W#2 DoublesBobby Chittepu / Shiv Sharma vs Lashminarayanan Krishnan / Kevin Lo6-7, 7-5, 1-0
2023-09-10vs DOUGHERTY VALLEY HS CM7.5ALost 01
L#2 DoublesPradeep Tumati / Shiv Sharma vs Praveen Subramanian / SUBRAMANIAN VENKATAPATHY4-6, 2-6
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 7.5 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 3.39 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.

Arun Raj
published 4
Bobby Chittepu
published 4
3.75
Anand Kumar
published 4
3.53
Raju Saranga
published
3.52
Subir Das
published
3.43
Pradeep Nair
published
3.42
Sujit Chakravorti
published
3.38
Yogesh Vohra
published
3.38
Chinmaya Sahoo
published 3.5
3.27
Sreerama Garikapati
published
Aditya Rawat
published 3.5
Shiv Sharma
usually #1 Doubles 67%, also #2 Doubles 33% · published 3.5
3.23
Chaitanya Mamdur
published 3.5
2.98
Ronald Lee
published
Venkat Prodhuturi
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
Arun Raj
0W–2L career · no lines in 2023
not enough data
4
Bobby Chittepu
0W–2L career · no lines in 2023
not enough data
4
Anand Kumar
5W–4L career · no lines in 2023
4%93%4%
3.75
Raju Saranga
3W–6L career · no lines in 2023
43%57%<1%
3.53
Subir Das
5W–4L career · no lines in 2023
43%57%<1%
3.52
Pradeep Nair
2W–7L career · no lines in 2023
69%31%<1%
3.43
Sujit Chakravorti
9W–15L career · no lines in 2023
72%28%<1%
3.42
Yogesh Vohra
1W–3L career · no lines in 2023
80%20%<1%
3.38
3.5
Chinmaya Sahoo
7W–1L career · no lines in 2023
<1%81%19%
3.38
Sreerama Garikapati
6W–7L career · no lines in 2023
3%92%5%
3.27
3.5
Aditya Rawat
1W–1L career · no lines in 2023
not enough data
3.5
Shiv Sharma
69W–27L career · 9 lines in 2023
not enough data
3.5
Chaitanya Mamdur
4W–9L career · no lines in 2023
5%92%3%
3.23
Ronald Lee
5W–5L career · no lines in 2023
55%45%<1%
2.98
Venkat Prodhuturi
1W–3L 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.