Teams

Team 4 Lord of the Strings

2026 NOVA Tri-Level · NOVA Tri-Level 4.0, 3.5, 3.0 Men

19 players · average NTRP 3.69 / 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 →
Schedule5 played
2026-09-02vs Team 8 WolvesWon 30
W#1 DoublesKenneth Kawahara / John Emery vs Warren Chen / Guangyi Wang4-6, 6-4, 1-0
W#2 DoublesJeff Ressin / Matias Piaggio vs Jie Wang / Hongyangyang Shi6-2, 5-7
W#3 DoublesSteven Simone / Shane Haley vs Tianshu Xiao / Meng-chien Su6-3, 6-0
2026-08-26vs Team 2 Who Is We? Flipper GrillersLost 12
L#1 DoublesKenneth Kawahara / Etienne Beurier vs Raghu Menon / Vipul Chawla4-6, 2-6
L#2 DoublesTejinder Sagoo / Luis Aragon vs Hanlun Song / Brandon Wales5-7, 1-6
W#3 DoublesShawn Cole / Fabian Mesa vs Ryan Kwon / Matthew Trimboli6-3, 6-0
2026-08-19vs Team 3 Tiger Balm TriWon 30
W#1 DoublesAlex Kucherenko / John Emery vs Michael Brandon / Darren Stanley6-2, 6-1
W#2 DoublesAndrew Superka / Matteo Gleason vs Ryan Wang / Andre Mallqui6-0, 6-3
W#3 DoublesSteven Simone / Shane Haley vs Ran Huang / Jon Veasey-Deters6-2, 6-4
W#1 DoublesAndrew Erickson / Taylor Lewis vs Jesse Cebulash / Diego Berenguela6-0, 6-3
W#2 DoublesMatias Piaggio / Luis Aragon vs Ali Montilla / Diego Aliaga6-3, 6-2
W#3 DoublesFabian Mesa / Shane Haley vs Erik Stang / Oleksandr Shashkov6-4, 6-1
2026-08-04vs Team 1 Belle Haven Tri-LevelWon 21
W#1 DoublesTaylor Lewis / Kenneth Kawahara vs John O'Dwyer / Kaj Vetter6-2, 7-6
W#2 DoublesTejinder Sagoo / Luis Aragon vs Anthony Coco / Ted McLaughlan6-2, 6-2
L#3 DoublesFabian Mesa / Thomas Snedeker vs Tim Kane / Abe Adams3-3
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 standings9 teams · NOVA Tri-Level 4.0, 3.5, 3.0 Men
TeamWLInd. WInd. LSets lostGames lost
1Team 5 Net Assets2051343
2Team 4 Lord of the Strings2042446
3Team 2 Who Is We? Flipper Grillers1030117
4Team 8 Net Dominators Rabbit Grillers1133644
5Team 3 Tiger Balm Tri1124858
6Team 9 FDP12361287
7Team 1 Belle Haven Tri-Level0112428
8Team 7 Wolves0112432
9Team 6 Challengers0224657

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 3.48 estimated across 16 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.

Andrew Erickson
usually #1 Doubles 100% · published 4.5
3.87
Tejinder Sagoo
usually #2 Doubles 100% · published 3.5
3.86
Alex Kucherenko
usually #1 Doubles 100% · published 4
3.84
Arvind Jairam
usually #2 Doubles 60%, also #1 Doubles 40% · published 4
3.84
Kenneth Kawahara
usually #1 Doubles 100% · published
3.70
John Emery
usually #1 Doubles 100% · published
3.69
Taylor Lewis
usually #1 Doubles 100% · published
3.56
Steven Simone
usually #3 Doubles 100% · published
3.52
Luis Aragon
usually #2 Doubles 100% · published
3.46
Matias Piaggio
usually #2 Doubles 50%, also #3 Doubles 50% · published 3.5
3.38
Matteo Gleason
usually #2 Doubles 100% · published
3.33
Jeff Ressin
usually #2 Doubles 100% · published
3.31
Thomas Snedeker
usually #3 Doubles 100% · published
Andrew Superka
usually #2 Doubles 100% · published 3.5
3.23
Stephen Dupuy
published 3.5
3.17
Shannon Barnes
published
3.03
Shane Haley
usually #3 Doubles 100% · published
2.95
Fabian Mesa
usually #3 Doubles 100% · published 3
Shawn Cole
usually #3 Doubles 100% · 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.

Tejinder Sagoo + Matias Piaggio404 matchesnot enough data
Taylor Lewis + Kenneth Kawahara213 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.

4.5
Andrew Erickson
1W–0L career · type S · 1 line in 2026
not enough data
3.5
Tejinder Sagoo
128W–51L career · 2 lines in 2026
<1%<1%>99%
3.87
4
Alex Kucherenko
2W–1L career · type S · 1 line in 2026
<1%86%14%
3.86
4
Arvind Jairam
118W–62L career · 5 lines in 2026
<1%88%12%
3.84
Kenneth Kawahara
14W–7L career · 3 lines in 2026
<1%89%11%
3.84
John Emery
31W–12L career · 2 lines in 2026
7%92%1%
3.70
Taylor Lewis
6W–5L career · 2 lines in 2026
7%92%1%
3.69
Steven Simone
3W–1L career · 2 lines in 2026
32%68%<1%
3.56
Luis Aragon
13W–15L career · 3 lines in 2026
<1%43%57%
3.52
3.5
Matias Piaggio
49W–21L career · 4 lines in 2026
<1%63%37%
3.46
Matteo Gleason
2W–1L career · 1 line in 2026
<1%82%18%
3.38
Jeff Ressin
5W–3L career · 1 line in 2026
1%90%9%
3.33
Thomas Snedeker
9W–3L career · 1 line in 2026
93%7%<1%
3.31
3.5
Andrew Superka
1W–0L career · type S · 1 line in 2026
not enough data
3.5
Stephen Dupuy
72W–51L career · no lines in 2026
4%94%2%
3.23
Shannon Barnes
6W–3L career · no lines in 2026
<1%10%90%
3.17
Shane Haley
11W–5L career · 3 lines in 2026
<1%42%58%
3.03
3
Fabian Mesa
2W–1L career · type S · 3 lines in 2026
<1%65%35%
2.95
Shawn Cole
1W–0L career · 1 line 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.