Teams

Team 3 Tri Riders '22

2022 NOVA Tri-Level 18 & Over · NOVA Tri Level 4.0, 3.5, 3.0 Men

11 players · average NTRP 3.79 / 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
2022-11-02Lost 01
L#1 DoublesRobert Luftglass / Kevin McKeel vs Jeff Bedell / Charles Verdery2-6, 2-6
2022-10-26vs Team 9 NoVa AcesLost 01
L#1 DoublesMike Burgoyne / Robert Luftglass vs Matt Morgan / Thoufiq Kaleemullah1-6, 1-3
2022-10-17Won 10
W#1 DoublesRobert Luftglass / Jeff Rosenblum vs Jeff Bedell / Barksdale Penick6-4, 6-2
2022-09-28vs Team 4Lost 01
L#1 DoublesRobert Luftglass / Durga Kunwar vs Jeremy Pietruszewski / Bryan Tucker6-7, 2-6
2022-09-24vs Team 1Split 11
W#1 DoublesSam Collins / Robert Luftglass vs N/A6-0, 6-0
L#2 DoublesFreddy Feliz / Kevin McKeel vs Josh MacFarland / Matt Carlson7-5, 2-6, 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 standings for NOVA Tri Level 4.0, 3.5, 3.0 Men 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 3.41 estimated across 10 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.

3.77
Durga Kunwar
published 4
Devarshi Bhatt
published 4
3.68
David Viar
published 3.5
3.65
Jeff Rosenblum
published
3.61
Ivan Kozliak
usually #2 Doubles 60%, also #3 Doubles 40% · published 4
3.55
Robert Luftglass
usually #1 Doubles 100% · published 4
3.47
Jordan Glashow
published
3.37
Freddy Feliz
published 3.5
3.10
Kevin McKeel
usually #2 Doubles 50%, also #1 Doubles 50% · published 3.5
3.01
Thomas McCrary
published
2.89
Phil Reed
published
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
Durga Kunwar
2W–1L career · no lines in 2022
2%94%4%
3.77
4
Devarshi Bhatt
2W–0L career · no lines in 2022
not enough data
3.5
David Viar
39W–19L career · no lines in 2022
<1%8%92%
3.68
Jeff Rosenblum
40W–31L career · no lines in 2022
12%88%<1%
3.65
4
Ivan Kozliak
300W–288L career · 5 lines in 2022
20%80%<1%
3.61
4
Robert Luftglass
69W–94L career · 5 lines in 2022
34%66%<1%
3.55
Jordan Glashow
2W–9L career · no lines in 2022
59%41%<1%
3.47
3.5
Freddy Feliz
8W–12L career · no lines in 2022
<1%84%16%
3.37
3.5
Kevin McKeel
90W–97L career · 2 lines in 2022
23%77%<1%
3.10
Thomas McCrary
43W–39L career · no lines in 2022
<1%47%53%
3.01
Phil Reed
3W–2L career · no lines in 2022
<1%80%19%
2.89

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.