Teams

TOC.Sankar

2022 CTRL Summer Singles 40 & Over · Summer Singles 40 & Over 4.0 Men

7 players · average NTRP 4.10 / 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 →
Schedule7 played
2022-08-22Won 10
W#3 SinglesDeepak Jayashankaran vs Ananth Shankar6-2, 6-0
2022-08-15vs TOC.JavalkarWon 20
W#1 SinglesManikandan Subramanian vs Shirish Javalkar6-0, 3-0
W#2 SinglesDeepak Jayashankaran vs Prasanth Anbalagan6-3, 6-3
2022-08-08vs CAS.TabelonSplit 11
L#2 SinglesRahul Narang vs Douglas Pletcher4-6, 3-6
W#3 SinglesManikandan Subramanian vs Jeffrey Tabelon6-2, 6-4
2022-08-01vs TOC.PuriSplit 11
L#1 SinglesRahul Narang vs Sid Thakur2-6, 6-4, 0-1
W#3 SinglesDeepak Jayashankaran vs Nitni Agrawal6-2, 6-1
2022-07-21vs CAS.TabelonLost 01
L#1 SinglesManikandan Subramanian vs Douglas Pletcher3-6, 6-4, 0-1
2022-06-30vs TOC.JavalkarWon 10
W#2 SinglesDeepak Jayashankaran vs Claude Ruffieux6-3, 6-2
2022-06-20vs CAS.TabelonWon 20
W#1 SinglesRahul Narang vs Cliff Manion7-5, 6-4
W#2 SinglesDeepak Jayashankaran vs Richard Baldyga6-4, 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 40 & Over 4.0 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 3.96 estimated across 6 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.

4.18
Uday Parikh
published
4.08
Sandeep Verghese
published
4.06
Rahul Narang
usually #1 Singles 67%, also #2 Singles 33% · published 4
3.85
Deepak Jayashankaran
usually #2 Singles 60%, also #3 Singles 40% · published 4
3.84
Manikandan Subramanian
usually #1 Singles 67%, also #3 Singles 33% · published 4.5
Anoop Sankar
published 4
3.74
Ganesh Rao
published 4
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.

Manikandan Subramanian + Sandeep Verghese0529% games−13.3% vs expected
Deepak Jayashankaran + Rahul Narang6167% gamesnot 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.

Uday Parikh
3W–5L career · no lines in 2022
9%91%1%
4.18
Sandeep Verghese
11W–23L career · no lines in 2022
27%73%<1%
4.08
4
Rahul Narang
298W–125L career · type A · 3 lines in 2022
<1%33%67%
4.06
4
Deepak Jayashankaran
167W–67L career · type A · 5 lines in 2022
<1%88%12%
3.85
4.5
Manikandan Subramanian
55W–51L career · 3 lines in 2022
90%10%<1%
3.84
4
Anoop Sankar
2W–0L career · no lines in 2022
not enough data
4
Ganesh Rao
7W–8L career · no lines in 2022
3%94%2%
3.74

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.