Teams

BC-Varon

2022 Adult 18 & Over · 5.0 Men

14 players · average NTRP 4.83 / NORTHWEST WASHINGTON

View scouting list →
Schedule7 played
2022-06-05vs NTC-Races to Aces-GollWon 21
W#1 DoublesScott Sullivan / Hunter Egger vs Peng Tea / Nishaant Limaye6-3, 6-3
W#1 SinglesZhia Chong vs Jevin West4-6, 6-4, 1-0
L#2 DoublesMike Kung / Sam Varon vs Mallory Maloney / Riley Peschon6-7, 2-6
2022-06-04vs AYTC-5.0 Clock Somewhere-AnWon 21
W#1 DoublesScott Sullivan / Mike Kung vs David An / James Crosetto6-2, 6-7, 1-0
L#1 SinglesZhia Chong vs Alex Namba5-7, 1-6
W#2 DoublesSam Varon / Vicente Varas vs Alex Mathers / Kyle Stalker7-6, 6-2
2022-05-29vs MC-5.0 Topguns 2-VimawalaLost 12
W#1 DoublesHunter Egger / Jake Knox vs Maxim Shmotolokha / Alexander Calpagiu6-3, 6-3
L#1 SinglesJohn Wehrle vs Jesse Schouten6-7, 3-6
L#2 DoublesLogan Knott / Taylor Hunt vs Shubhu Purohit / Anuj Vimawala4-6, 5-7
2022-05-07vs WSC-BowerWon 30
W#1 DoublesZackary Ahyat / Frederick Walsh vs Daniel Armellino / Ryan Hoy6-1, 6-4
W#1 SinglesJohn Wehrle vs Jayson Shieh6-4, 6-2
W#2 DoublesJake Knox / Mike Kung vs John Gallelli / Shane Caskey6-2, 7-5
2022-04-23vs MI-MatthewsWon 21
L#1 DoublesChristopher Trippel / Hunter Egger vs Rob Condiotty / Jeffrey Richards4-6, 6-2, 0-1
W#1 SinglesZhia Chong vs Ken Bang6-2, 6-3
W#2 DoublesZackary Ahyat / Frederick Walsh vs Tim Larson / Michael Fleming6-3, 6-4
2022-04-17vs GTC-Pinyerd 5.0Won 21
L#1 DoublesScott Sullivan / Mike Kung vs Richard Deitz / Jason Bediones2-6, 6-7
W#1 SinglesZhia Chong vs Ryan Pang6-3, 6-2
W#2 DoublesLogan Knott / Jake Knox vs Winston Ngo / Zachary Brint5-7, 7-5, 1-0
2022-04-08vs FC-Tais 5.0Lost 12
L#1 DoublesMike Kung / Christopher Trippel vs Vineeth Omkaram / Ciprian Tais3-6, 4-6
L#1 SinglesSam Varon vs Shannon Nelson1-6, 1-6
W#2 DoublesZackary Ahyat / Frederick Walsh vs Michael Costello / Andy Loveless0-6, 7-5, 1-0
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 · 5.0 Men
TeamWLInd. WInd. LSets lostGames lost
1FC-Tais 5.0701925107
2MC-5.0 Topguns 2-Vimawala5215614169
3BC-Varon5213820195
4NTC-Races to Aces-Goll4313818176
5BETC-Honey Badgers-Hedger34101124194
6MI-Matthews34101126206
7AYTC-5.0 Clock Somewhere-An1631837236
8WSC-Bower0712040249

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 4.53 estimated across 2 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.

4.85
Frederick Walsh
usually #2 Doubles 78%, also #1 Doubles 22% · published 5
Christopher Trippel
usually #1 Doubles 100% · published 5
Hunter Egger
usually #1 Doubles 100% · published 5
Jake Knox
usually #2 Doubles 67%, also #1 Doubles 33% · published 5
David Deming
usually #2 Doubles 67%, also #1 Doubles 33% · published 4.5
4.21
Sam Varon
usually #2 Doubles 67%, also #1 Doubles 22% · published 4.5
John Wehrle
usually #1 Singles 100% · published
Logan Knott
usually #2 Doubles 100% · published
Mike Kung
usually #1 Doubles 60%, also #2 Doubles 40% · published
Scott Sullivan
usually #1 Doubles 100% · published 0
Taylor Hunt
usually #2 Doubles 100% · published
Vicente Varas
usually #2 Doubles 50%, also #1 Singles 50% · published
Zackary Ahyat
usually #2 Doubles 67%, also #1 Doubles 33% · published
Zhia Chong
usually #1 Singles 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.

Frederick Walsh + Zackary Ahyat4153% games+3.9% vs expected
Sam Varon + David Deming4160% gamesnot enough data
Jake Knox + Logan Knott224 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.

5
Frederick Walsh
74W–27L career · 9 lines in 2022
<1%87%13%
4.85
5
Christopher Trippel
0W–4L career · type S · 2 lines in 2022
not enough data
5
Hunter Egger
8W–3L career · 3 lines in 2022
not enough data
5
Jake Knox
13W–9L career · 3 lines in 2022
not enough data
4.5
David Deming
7W–5L career · 3 lines in 2022
not enough data
4.5
Sam Varon
82W–55L career · 9 lines in 2022
5%94%1%
4.21
John Wehrle
1W–2L career · 2 lines in 2022
not enough data
Logan Knott
5W–7L career · 2 lines in 2022
not enough data
Mike Kung
6W–6L career · 5 lines in 2022
not enough data
0
Scott Sullivan
15W–4L career · 3 lines in 2022
not enough data
Taylor Hunt
3W–4L career · 1 line in 2022
not enough data
Vicente Varas
1W–5L career · 2 lines in 2022
not enough data
Zackary Ahyat
8W–2L career · 3 lines in 2022
not enough data
Zhia Chong
8W–9L career · 4 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.