Teams

PGibson/Kapoor (Life Time)

2026 Combo Doubles 18 & Over League · 18 & Over Combo 7.5 Men - Thurs PM

15 players · average NTRP 3.69 / NORTH CAROLINA

View scouting list →
Schedule5 upcoming · 5 played
Sep 10 8:00 PM
Life Time Athletic Charlotte
Sep 17 7:00 PM
vs
Park Crossing Recreation Club
Sep 24 6:30 PM
Life Time Athletic Charlotte
Oct 1 6:30 PM
Olde Providence Racquet Club
Oct 8 6:30 PM
vs
Mason Wallace Park
2026-09-03vs KSwain (Mason Wallace)Won 30
W#1 DoublesJoseph Cochran / Damian Hamp-Adams vs Saurabh Tyagi / Krishna Swain6-4, 7-6
W#2 DoublesShaun Sikes / Thomas Hull vs Volodymyr Stakh / Piyush Sinha7-5, 6-0
W#3 DoublesPhilip Gibson / Xuezhi Tang vs Jeff Morgan / Sumit Swain6-3, 6-4
2026-08-27vs PKartes/WDawson (OPRC)Lost 12
L#1 DoublesTiger Zhang / Brandon Pruski vs Brian Jennaro / Sunil Devarakonda0-6, 4-6
L#2 DoublesJoseph Cochran / Thomas Hull vs Wally Dawson / Scott Gerbereux2-6, 6-7
W#3 DoublesXuezhi Tang / Shaun Sikes vs Patrick Dwyer / Andrew McWilliams2-6, 6-4, 1-0
2026-08-25vs TFarley (Park Crossing)Won 30
W#1 DoublesJoseph Cochran / Damian Hamp-Adams vs Ian Dabrowski / Rick Haskell6-1, 6-3
W#2 DoublesPhilip Gibson / Danny Vazquez vs Brooke Beacham / Kevin Boyle6-4, 7-5
W#3 DoublesShaun Sikes / Thomas Hull vs Matt McNealy / Robert Sledd6-0, 6-2
2026-08-20vs JTchirkow/IFuster (Queens)Won 21
L#1 DoublesKevin Ferreira / Tiger Zhang vs Evan Zolcak / Gregory Grimm-Oropesa3-6, 5-7
W#2 DoublesShaun Sikes / Damian Hamp-Adams vs JACK TCHIRKOW / Ian Fuster6-3, 6-0
W#3 DoublesPhilip Gibson / CJ ONeill vs Spencer Crawford / Chris Biedrzycki6-3, 7-5
2026-08-16vs NSiens/JChung (Life Time)Lost 03
L#1 DoublesJoseph Cochran / Kevin Ferreira vs Joshua Mu / Nate Hookman5-7, 6-4, 0-1
L#2 DoublesPhilip Gibson / CJ ONeill vs Maxwell Kenny / Sean Karasik2-6, 1-6
L#3 DoublesVikram Kapoor / Danny Vazquez vs Jordan Teel / David Greer2-6, 6-4, 0-1
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 standings8 teams · 18 & Over Combo 7.5 Men - Thurs PM
TeamWLInd. WInd. LSets lostGames lost
1DDemaine (Queens)2042550
2GEstrada (Queens)103000
3JTchirkow/IFuster (Queens)1021331
4IKlass (Windyrush)1142539
5TFarley (Park Crossing)000000
6PGibson/Kapoor (Life Time)0103635
7PKartes/WDawson (OPRC)0224848
8JDrab (Jeff Adams)02061269

Ordered by team wins, then losses, then sets lost — the order USTA uses to seed a flight. Individual wins are lines, not ties.

See the full flight, with every team’s record

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 3.60 estimated across 14 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.

4.06
Brian Conlon
published 4
3.75
Jihun Moon
published 4
3.75
Shaun Sikes
usually #3 Doubles 50%, also #2 Doubles 50% · published 4
3.71
Joseph Cochran
usually #1 Doubles 60%, also #2 Doubles 40% · published
3.64
Philip Gibson
usually #2 Doubles 50%, also #3 Doubles 50% · published
3.60
Thomas Hull
usually #2 Doubles 67%, also #3 Doubles 33% · published
3.55
Kevin Ferreira
usually #1 Doubles 100% · published
3.55
CJ ONeill
usually #3 Doubles 67%, also #2 Doubles 33% · published 3.5
3.52
Steven Inga
published
3.52
Xuezhi Tang
usually #3 Doubles 100% · published 3.5
3.52
Danny Vazquez
usually #2 Doubles 50%, also #3 Doubles 50% · published 3.5
3.52
Tiger Zhang
usually #1 Doubles 100% · published
3.47
Damian Hamp-Adams
usually #1 Doubles 67%, also #2 Doubles 33% · published 3.5
3.25
Brandon Pruski
usually #1 Doubles 100% · published 3.5
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.

Damian Hamp-Adams + Joseph Cochran8160% games+7.9% vs expected
Kevin Ferreira + Joseph Cochran4250% gamesnot enough data
Philip Gibson + Joseph Cochran134 matchesnot enough data
Kevin Ferreira + Steven Inga123 matchesnot enough data
Kevin Ferreira + Tiger Zhang123 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
Brian Conlon
29W–7L career · no lines in 2026
<1%33%67%
4.06
4
Jihun Moon
116W–85L career · no lines in 2026
4%93%4%
3.75
4
Shaun Sikes
65W–51L career · 4 lines in 2026
4%93%4%
3.75
Joseph Cochran
44W–22L career · 5 lines in 2026
<1%6%94%
3.71
Philip Gibson
20W–9L career · 4 lines in 2026
<1%15%85%
3.64
Thomas Hull
18W–8L career · 3 lines in 2026
<1%24%76%
3.60
Kevin Ferreira
17W–13L career · 3 lines in 2026
<1%36%64%
3.55
3.5
CJ ONeill
67W–52L career · 3 lines in 2026
<1%36%64%
3.55
Steven Inga
6W–5L career · no lines in 2026
43%57%<1%
3.52
3.5
Xuezhi Tang
64W–42L career · 2 lines in 2026
<1%44%56%
3.52
3.5
Danny Vazquez
70W–48L career · 2 lines in 2026
<1%45%55%
3.52
Tiger Zhang
9W–10L career · 2 lines in 2026
<1%45%55%
3.52
3.5
Damian Hamp-Adams
75W–53L career · 3 lines in 2026
<1%58%42%
3.47
3.5
Brandon Pruski
6W–10L career · 1 line in 2026
4%93%4%
3.25
Vikram Kapoor
4W–0L career · no lines in 2026
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.