Teams

THull (Lifetime)

2023 Singles 18 & Over League · 18 & Over Singles 3.5 Men - Thurs PM

9 players · average NTRP 3.80 / NORTH CAROLINA

View scouting list →
Schedule9 played
2023-08-10Won 10
W#3 SinglesRajesh Sankaran vs N/A6-0, 6-0
2023-08-09vs IFuster (Queens)Won 10
W#1 SinglesDamian Hamp-Adams vs JACK TCHIRKOW6-4, 6-4
2023-07-27vs EWeinbrenner (Piper Glen)Won 20
W#1 SinglesPrakhar Paharia vs Bobby Dhillon6-1, 6-2
W#3 SinglesDamian Hamp-Adams vs Nicholas Munn6-1, 6-1
2023-07-20vs VValtsis/SChengelis (Queens)Won 10
W#1 SinglesDamian Hamp-Adams vs Vladislav Valtsis3-6, 7-6, 1-0
2023-07-13vs KFerreira (LifeTime)Lost 01
L#3 SinglesJinwook Chung vs Kevin Ferreira2-6, 7-6, 0-1
2023-07-06Won 10
W#1 SinglesPrakhar Paharia vs Santhosh Budda6-0, 6-2
2023-06-25vs RVojjini (Queens)Lost 01
L#2 SinglesRajesh Sankaran vs Rakesh Kumar Vojjini2-6, 3-6
2023-06-08Lost 01
L#1 SinglesDamian Hamp-Adams vs Tiecheng Liu6-7, 2-6
2023-06-01vs JDichak (WSRC)Won 20
W#1 SinglesPrakhar Paharia vs Daniel Kolepp4-6, 6-1, 1-0
W#3 SinglesDamian Hamp-Adams vs Alberto Botero6-3, 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 18 & Over Singles 3.5 Men - Thurs PM 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 3.61 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.

3.96
Prakhar Paharia
usually #1 Singles 50%, also #3 Singles 33% · published 4
3.85
3.60
Thomas Hull
published
3.58
Rajesh Sankaran
usually #2 Singles 50%, also #3 Singles 50% · published 4
3.52
Steven Inga
published
3.49
Jinwook Chung
usually #3 Singles 100% · published 3.5
3.47
Damian Hamp-Adams
usually #1 Singles 60%, also #3 Singles 40% · published 3.5
3.42
Jeff Cohen
published
Vikram Kapoor
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.

Jinwook Chung + Damian Hamp-Adams213 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
Prakhar Paharia
189W–56L career · 6 lines in 2023
<1%61%39%
3.96
4
Christopher Northrop
101W–60L career · type A · no lines in 2023
1%85%15%
3.85
Thomas Hull
18W–8L career · no lines in 2023
<1%24%76%
3.60
4
Rajesh Sankaran
63W–45L career · 2 lines in 2023
30%70%<1%
3.58
Steven Inga
6W–5L career · no lines in 2023
43%57%<1%
3.52
3.5
Jinwook Chung
110W–46L career · 1 line in 2023
<1%53%47%
3.49
3.5
Damian Hamp-Adams
75W–53L career · 5 lines in 2023
<1%58%42%
3.47
Jeff Cohen
16W–6L career · no lines in 2023
<1%72%28%
3.42
Vikram Kapoor
4W–0L 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.