Teams

Courtmasters

2022 NOVA Singles Men · NOVA Singles 3.5 Men

8 players · average NTRP 3.79 / VIRGINIA

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 →
Schedule8 played
2022-11-05vs Vienna SlammersLost 01
L#1 SinglesJason Pallady vs Arvind Jairam5-7, 6-2, 0-1
2022-11-01vs Vienna SlammersWon 10
W#3 SinglesScott Jacob vs Daniel Aronowitz6-0, 6-1
2022-10-30vs Team Nguyen 3.5Won 10
W#2 SinglesVijay Kalanadhabhatta vs Sakhoeun Tith6-3, 5-1
2022-10-27Lost 01
L#3 SinglesScott Jacob vs Rahul Sharma1-6, 4-4
2022-10-25Lost 01
L#1 SinglesJason Pallady vs Brian Fisher4-6, 5-7
2022-10-19vs Vienna SlammersWon 10
W#2 SinglesVijay Kalanadhabhatta vs Tyrone Crockwell6-1, 6-5
2022-10-16vs Team Nguyen 3.5Won 10
W#1 SinglesScott Jacob vs David Tong6-1, 6-1
2022-09-19Won 10
W#2 SinglesJason Pallady vs Brian Fisher5-7, 5-2
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 NOVA Singles 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 3.44 estimated across 8 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.

3.71
Vijay Kalanadhabhatta
usually #2 Singles 100% · published 4
3.67
Jason Pallady
usually #1 Singles 67%, also #2 Singles 33% · published 4
3.61
Scott Jacob
usually #3 Singles 67%, also #1 Singles 33% · published 4
3.41
Tezcan Inanlar
published 4
3.38
Faizan Mumtaz
published 3.5
3.35
Dante Paragas
published 3.5
3.23
Carlo Pizarro
published 3.5
3.16
Louis Dupuis
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.

Vijay Kalanadhabhatta + Jason Pallady10366% games+14.7% vs expected
Dante Paragas + Scott Jacob213 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
Vijay Kalanadhabhatta
105W–75L career · 2 lines in 2022
5%94%1%
3.71
4
Jason Pallady
85W–62L career · 3 lines in 2022
10%90%1%
3.67
4
Scott Jacob
69W–80L career · 3 lines in 2022
21%79%<1%
3.61
4
Tezcan Inanlar
39W–46L career · type A · no lines in 2022
76%24%<1%
3.41
3.5
Faizan Mumtaz
3W–0L career · no lines in 2022
<1%82%17%
3.38
3.5
Dante Paragas
72W–63L career · no lines in 2022
<1%88%12%
3.35
3.5
Carlo Pizarro
7W–9L career · no lines in 2022
4%94%2%
3.23
Louis Dupuis
6W–19L career · no lines in 2022
11%89%<1%
3.16

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.