Teams

Silver to Gold

2022 Tri Level Men · 4.5,4.0,3.5

9 players · average NTRP 4.12 / WESTERN REGION

View scouting list →
Schedule4 played
2022-12-07vs BUFF: Big HittersLost 01
L#2 DoublesAlexander Shotell / Paul Biddle vs David Greetham / Sanjeev Relan2-6, 0-6
2022-10-21vs WilbonLost 12
L#1 DoublesPaul Biddle / Alexander Shotell vs Rajadurai Arul / Turhan Wilbon4-6, 3-6
L#2 DoublesFrank Coheley / Samad Rodriguez Loya vs Zachary Hynd / Gordy Sage1-6, 2-6
W#3 DoublesJason Niu / Jun Wei vs Thomas Majerski / Anthony Yates6-3, 7-5
2022-10-01vs LlamasWon 20
W#2 DoublesGeorge Lund / Murray Richardson vs Michael Urban / Krystian Drozd6-4, 6-4
W#3 DoublesJason Niu / Jun Wei vs James Stancampiano / George Hirsch6-3, 6-4
2022-09-23vs WilbonLost 12
L#1 DoublesAnthony Colavito / Eric Hansen vs Rajadurai Arul / Henry Miller4-6, 6-1, 0-1
L#2 DoublesGeorge Lund / Alexander Shotell vs Ronald White / Turhan Wilbon1-6, 4-6
W#3 DoublesJason Niu / Jun Wei vs Jason Galbraith / Marco Notaro4-6, 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 standings4 teams · 4.5,4.0,3.5
TeamWLInd. WInd. LSets lostGames lost
1Silver to Gold000000
2Llamas045716113
3Wilbon0510514127
4BUFF: Big Hitters0613511110

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 3.97 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.

Eric Hansen
usually #1 Doubles 100% · published 4.5
4.18
John Nussbaumer
published
3.75
Alexander Shotell
usually #2 Doubles 67%, also #1 Doubles 33% · published 4
Anthony Colavito
usually #1 Doubles 100% · published 4
George Lund
usually #2 Doubles 100% · published 4
Jason Niu
usually #3 Doubles 100% · published
Murray Richardson
usually #2 Doubles 100% · published
Paul Biddle
usually #2 Doubles 50%, also #1 Doubles 50% · published
Samad Rodriguez Loya
usually #2 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.

George Lund + Murray Richardson123 matchesnot enough data
Alexander Shotell + Paul Biddle033 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
Eric Hansen
2W–1L career · 1 line in 2022
not enough data
John Nussbaumer
23W–4L career · no lines in 2022
8%91%1%
4.18
4
Alexander Shotell
92W–106L career · 3 lines in 2022
3%95%3%
3.75
4
Anthony Colavito
10W–14L career · 1 line in 2022
not enough data
4
George Lund
5W–21L career · 2 lines in 2022
not enough data
Jason Niu
41W–30L career · 3 lines in 2022
not enough data
Murray Richardson
13W–9L career · 1 line in 2022
not enough data
Paul Biddle
8W–12L career · 2 lines in 2022
not enough data
Samad Rodriguez Loya
0W–6L career · 1 line 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.