Teams

Westchester Avenue Tennis Club: Bengals

2023 40&Over Men · 5.0

14 players · average NTRP 5.00 / SOUTHERN REGION

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 →
Schedule8 played
2023-07-19vs Armonk Tennis ClubSplit 11
W#1 DoublesClinton DeVries / Enrique Catter vs Jon Levey / Luis Andreotti7-6, 6-4
L#2 DoublesNeeladitya Roy / Felix Yamasato vs Simon Krinsky / Mark Saldutti1-6, 2-6
2023-07-13vs CRRC-GrandstandersWon 20
W#1 DoublesClinton DeVries / David Geatz vs Brad Breakstone / William Stanley6-4, 6-3
W#2 DoublesJeffrey Gold / Neeladitya Roy vs Christian Amundsen / Jon Amundsen6-1, 6-2
2023-07-11vs CRRC-GrandstandersWon 20
W#1 DoublesEnrique Catter / Ritush Venugopal vs Elliott Wood / Akash Lamba7-5, 6-2
W#2 DoublesNeeladitya Roy / Juan Franco vs Robert Labriola / William Stanley6-3, 6-7, 1-0
2023-07-11vs Club Fit Briarcliff KingsWon 10
W#2 DoublesJeff Kozak / Jeffrey Gold vs Dipak Chandy / David Schneider6-4, 6-7, 1-0
2023-07-06vs Armonk Tennis ClubLost 12
L#1 DoublesSergiu Barbu / Ritush Venugopal vs Jon Levey / Mark Saldutti1-6, 6-2, 0-1
L#2 DoublesFelix Yamasato / Sukhdeep Saluja vs Geoffrey LoConte / Todd Parker1-6, 4-6
W#3 DoublesJeffrey Gold / Juan Franco vs N/A6-0, 6-0
2023-06-27vs WTC: 40+ All StarsLost 01
L#2 DoublesAndy Scharf / Jeffrey Gold vs Seth Benjamin / Leandro Milititsky1-6, 2-6
2023-06-01vs CRRC-GrandstandersWon 20
W#1 DoublesNeeladitya Roy / Sergiu Barbu vs William Stanley / John James6-2, 6-2
W#2 DoublesClinton DeVries / David Geatz vs Robert Labriola / Akash Lamba6-2, 6-1
2023-05-25vs Armonk Tennis ClubSplit 11
W#1 DoublesDevin Wakeford / Sergiu Barbu vs Jon Levey / Sam Karlin7-5, 6-4
L#2 DoublesJeffrey Gold / Juan Franco vs Geoffrey LoConte / Luis Andreotti2-6, 4-6
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 · 5.0
TeamWLInd. WInd. LSets lostGames lost
1Westchester Avenue Tennis Club: Bengals0611715134
2CRRC-Grandstanders0671122146

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 4.47 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.

4.69
Clinton DeVries
usually #1 Doubles 67%, also #2 Doubles 33% · published 5
4.63
Sergiu Barbu
usually #1 Doubles 100% · published
4.63
Devin Wakeford
usually #1 Doubles 100% · published 5
4.56
Neeladitya Roy
usually #2 Doubles 75%, also #1 Doubles 25% · published
4.52
Enrique Catter
usually #1 Doubles 100% · published
4.43
Juan Franco
usually #2 Doubles 67%, also #3 Doubles 33% · published
4.43
Pierre-Marie Despontin
usually #1 Doubles 100% · published
4.40
Eric Tomasini
published
4.29
Jeffrey Gold
usually #2 Doubles 80%, also #3 Doubles 20% · published
4.16
Felix Yamasato
usually #2 Doubles 100% · published
Henry Walsh
usually #3 Doubles 100% · published
Ritush Venugopal
usually #1 Doubles 100% · published
Sukhdeep Saluja
usually #2 Doubles 100% · published
Vishal Varghese
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.

Jeffrey Gold + Pierre-Marie Despontin14655% games+7.3% vs expected
Jeffrey Gold + Juan Franco6360% gamesnot enough data
Neeladitya Roy + Sergiu Barbu8164% gamesnot enough data
Henry Walsh + Clinton DeVries6162% gamesnot enough data
Juan Franco + Pierre-Marie Despontin314 matchesnot enough data
Henry Walsh + Vishal Varghese213 matchesnot enough data
Clinton DeVries + Devin Wakeford213 matchesnot enough data
Clinton DeVries + Sergiu Barbu033 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
Clinton DeVries
62W–26L career · 3 lines in 2023
no projection at this level
4.69
Sergiu Barbu
16W–10L career · 3 lines in 2023
no projection at this level
4.63
5
Devin Wakeford
31W–20L career · 1 line in 2023
no projection at this level
4.63
Neeladitya Roy
45W–24L career · 4 lines in 2023
no projection at this level
4.56
Enrique Catter
30W–5L career · 2 lines in 2023
no projection at this level
4.52
Juan Franco
68W–37L career · 3 lines in 2023
<1%68%32%
4.43
Pierre-Marie Despontin
25W–20L career · 1 line in 2023
<1%68%32%
4.43
Eric Tomasini
72W–49L career · no lines in 2023
no projection at this level
4.40
Jeffrey Gold
67W–45L career · 5 lines in 2023
2%91%7%
4.29
Felix Yamasato
8W–19L career · 2 lines in 2023
13%86%1%
4.16
Henry Walsh
82W–21L career · 1 line in 2023
not enough data
Ritush Venugopal
8W–3L career · 2 lines in 2023
not enough data
Sukhdeep Saluja
1W–3L career · 1 line in 2023
not enough data
Vishal Varghese
7W–4L career · no lines in 2023
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.