Teams

TOC.Jonnalagadda

2022 CTRL Summer Singles 18 & Over · Summer Singles 18 & Over 3.5 Men

5 players · average NTRP 3.80 / NORTH CAROLINA

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 →
Schedule9 played
2022-08-29vs TOHS.dePaulaWon 30
W#1 SinglesOlimani Deivasigamani vs Eslam Soliman6-1, 6-0
W#2 SinglesPradeep Hariharan vs N/A6-0, 6-0
W#3 SinglesVijay Rajasekar vs Daryn Watson6-2, 6-4
2022-08-22vs TOC.WoodWon 20
W#1 SinglesOlimani Deivasigamani vs Tyler DeZubay6-2, 3-0
W#3 SinglesPradeep Hariharan vs Steve Levine7-5, 6-0
2022-08-18vs MVL.PuriSplit 11
W#1 SinglesOlimani Deivasigamani vs Mahesh Salian6-1, 6-1
L#2 SinglesVijay Rajasekar vs Zain Chughtai3-6, 5-7
2022-08-10vs TOC.NealisWon 10
W#1 SinglesPRAVEEN ARUL vs Maxwell Gregson6-1, 6-0
2022-08-08vs PW.RoussinLost 01
L#1 SinglesPRAVEEN ARUL vs Ryan Kessler2-6, 3-6
2022-08-02vs TOC.FuWon 30
W#1 SinglesPRAVEEN ARUL vs Craig Brehmer6-2, 2-6, 1-0
W#2 SinglesOlimani Deivasigamani vs Vijaya Sarathy Berkai Srinivasan3-6, 6-0, 1-0
W#3 SinglesVijay Rajasekar vs Stephen Fu6-0, 6-4
2022-07-11Won 10
W#2 SinglesPradeep Hariharan vs Anupam Dhingra6-3, 4-6, 1-0
2022-06-20vs KF.ZeidlerWon 10
W#1 SinglesPRAVEEN ARUL vs Nathan Naramor6-0, 6-0
2022-06-06vs TOC.XiaoLost 12
L#1 SinglesOlimani Deivasigamani vs Yunxiang Zhu6-4, 1-6, 0-1
L#2 SinglesVijay Rajasekar vs Brent Townsend1-6, 1-6
W#3 SinglesPradeep Hariharan vs Lucas Carrington6-4, 6-1
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 Summer Singles 18 & Over 3.5 Men 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 3.59 estimated across 5 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.

3.80
PRAVEEN ARUL
usually #1 Singles 100% · published 4
3.77
Chandan Kumar
published 4
3.60
Olimani Deivasigamani
usually #1 Singles 50%, also #3 Singles 38% · published 3.5
3.52
Pradeep Hariharan
usually #3 Singles 50%, also #2 Singles 50% · published 4
3.27
Vijay Rajasekar
usually #2 Singles 50%, also #3 Singles 50% · published 3.5
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.

Pradeep Hariharan + Olimani Deivasigamani10359% gamesnot enough data
Pradeep Hariharan + PRAVEEN ARUL5262% gamesnot enough data
PRAVEEN ARUL + Olimani Deivasigamani404 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
PRAVEEN ARUL
81W–28L career · 6 lines in 2022
1%93%6%
3.80
4
Chandan Kumar
2W–2L career · no lines in 2022
2%94%4%
3.77
3.5
Olimani Deivasigamani
162W–71L career · 8 lines in 2022
<1%23%77%
3.60
4
Pradeep Hariharan
197W–109L career · 4 lines in 2022
45%55%<1%
3.52
3.5
Vijay Rajasekar
37W–33L career · 4 lines in 2022
2%94%4%
3.27

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.