Teams

Davis 40s 4.0M Singles Tues PM

2026 Piedmont Singles 40+ · 4.0 Men Singles Tues

6 players · average NTRP 4.00 / NORTH CAROLINA

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Schedule7 played
2026-07-21vs Wallace 40s 4.0M Singles Tues PMWon 21
L#1 SinglesTony McGraw vs Eric Lustig6-4, 2-6, 0-1
W#2 SinglesRanganadh Vemuri vs Scott Wallace6-0, 6-1
W#3 SinglesCorey Davis vs Richard Fabiano6-1, 6-2
2026-07-15vs Wallace 40s 4.0M Singles Tues PMWon 21
W#1 SinglesRanganadh Vemuri vs Eric Lustig6-0, 6-2
W#2 SinglesTony McGraw vs Scott Wallace6-1, 6-1
L#3 SinglesHuy Ho vs Richard Fabiano5-7, 3-6
2026-07-11vs Wallace 40s 4.0M Singles Tues PMWon 30
W#1 SinglesBrad Green vs Eric Lustig6-1, 6-0
W#2 SinglesScot Harrison vs Scott Wallace6-4, 6-1
W#3 SinglesRanganadh Vemuri vs Richard Fabiano6-0, 6-1
2026-07-07vs Wallace 40s 4.0M Singles Tues PMWon 20
W#2 SinglesRanganadh Vemuri vs Scott Wallace6-3, 6-0
W#3 SinglesScot Harrison vs Richard Fabiano6-0, 7-5
2026-07-06vs Wallace 40s 4.0M Singles Tues PMWon 30
W#1 SinglesCorey Davis vs Scott Wallace6-3, 6-3
W#2 SinglesRanganadh Vemuri vs Eric Lustig6-0, 6-1
W#3 SinglesScot Harrison vs Richard Fabiano6-1, 6-1
2026-06-26vs Wallace 40s 4.0M Singles Tues PMWon 10
W#1 SinglesCorey Davis vs Eric Lustig5-7, 7-5, 1-0
2026-06-09vs Wallace 40s 4.0M Singles Tues PMWon 21
W#1 SinglesScot Harrison vs Eric Lustig7-5, 6-2
L#2 SinglesHuy Ho vs Scott Wallace2-6, 7-6, 0-1
W#3 SinglesTony McGraw vs Richard Fabiano6-0, 6-1
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 standings2 teams · 4.0 Men Singles Tues
TeamWLInd. WInd. LSets lostGames lost
1Davis 40s 4.0M Singles Tues PM8020410114
2Wallace 40s 4.0M Singles Tues PM0842042266

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 3.82 estimated across 6 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.

4.01
Brad Green
usually #1 Singles 100% · published 4
3.94
Ranganadh Vemuri
usually #2 Singles 60%, also #3 Singles 20% · published
3.89
Scot Harrison
usually #3 Singles 50%, also #2 Singles 25% · published
3.79
Corey Davis
usually #1 Singles 67%, also #3 Singles 33% · published 4
3.69
Tony McGraw
usually #1 Singles 33%, also #2 Singles 33% · published
3.58
Huy Ho
usually #3 Singles 50%, also #2 Singles 50% · 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
Brad Green
18W–9L career · 1 line in 2026
<1%47%53%
4.01
Ranganadh Vemuri
18W–3L career · 5 lines in 2026
<1%67%33%
3.94
Scot Harrison
25W–10L career · 4 lines in 2026
<1%77%22%
3.89
4
Corey Davis
45W–20L career · 3 lines in 2026
2%92%6%
3.79
Tony McGraw
25W–17L career · 3 lines in 2026
8%90%1%
3.69
Huy Ho
16W–17L career · 2 lines in 2026
28%72%<1%
3.58

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.