Teams

TOC.Narula

2022 CTRL Summer Singles 18 & Over · Summer Singles 18 & Over 3.0 Men

6 players · average NTRP 3.30 / 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 →
Schedule5 played
2022-08-17vs TOC.PuriWon 10
W#2 SinglesDoug Griswold vs Snehansu Roy6-1, 6-1
2022-08-10vs TOC.PuriWon 10
W#3 SinglesPaul Narula vs Vimal Kumar7-6, 6-2
2022-08-02Lost 01
L#2 SinglesDoug Griswold vs Deepak Venkatesan0-6, 0-6
2022-07-26vs TOC.PuriLost 01
L#3 SinglesStephen Fu vs Vimal Kumar1-6, 5-7
2022-07-12vs TOC.PuriWon 10
W#1 SinglesPaul Narula vs Ram Basireddy6-2, 6-4
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 3.0 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 2.98 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.

3.39
Paul Narula
usually #1 Singles 50%, also #3 Singles 50% · published 3.5
3.05
Stephen Fu
usually #3 Singles 100% · published 3.5
2.91
Daniel Horowitz
published 3.5
2.88
Doug Griswold
usually #2 Singles 100% · published 3
2.67
Adam Howard
published 3
Pawan Kumar
published
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.

3.5
Paul Narula
142W–108L career · 2 lines in 2022
<1%81%19%
3.39
3.5
Stephen Fu
75W–130L career · 3 lines in 2022
34%66%<1%
3.05
3.5
Daniel Horowitz
1W–12L career · no lines in 2022
76%24%<1%
2.91
3
Doug Griswold
121W–102L career · 2 lines in 2022
<1%81%19%
2.88
3
Adam Howard
2W–1L career · no lines in 2022
10%90%1%
2.67
Pawan Kumar
5W–1L 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.