Teams

CDTA E 18&O W/E 4.0M MT Chi Brown Sun 12 $25

CDTA ESL 18 & Over W · E

13 players · average NTRP 3.80 / CHICAGO

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 →
Schedule7 played
L#1 DoublesChester Choi / Ted Tubekis vs David Chopp / Eric Rodrigo2-6, 6-2, 0-1
L#1 SinglesLincoln Wang vs John Mysz1-6, 0-6
L#2 DoublesGabriel Garcia / John Leubner vs Rick Aguayo / David Martin7-6, 3-4, 0-1
L#2 SinglesKeith Boutell vs Hugo VanderGoes0-6, 1-6
L#3 DoublesDarren Lubotsky / DANIEL SULLIVAN vs Christopher Darnielle / Paul Zuffa2-6, 0-6
W#2 SinglesLincoln Wang vs Kosuke Takahashi6-1, 6-1
W#1 DoublesKeith Boutell / John Leubner vs Ken Comey / Kevin Podwika6-4, 5-3
W#1 SinglesLincoln Wang vs Derek Wong6-3, 6-2
L#1 DoublesSaurab Bhargava / Keith Boutell vs Rick Aguayo / David Martin4-6, 3-6
W#2 DoublesJohn Leubner / Lincoln Wang vs David Chopp / Mark Harlan6-4, 7-6
L#3 DoublesGabriel Garcia / Darren Lubotsky vs Frank de Carlo / Eric Rodrigo5-7, 2-6
L#1 DoublesDarren Lubotsky / Douglas Smith vs Jack Hessinger / Nikhil Kharkar3-6, 3-6
L#1 SinglesLincoln Wang vs Gregg Rousseau3-6, 3-6
L#2 DoublesJohn Leubner / Keith Boutell vs Thomas Nacher / Jacob Mayles4-6, 6-7
W#3 DoublesGabriel Garcia / Chester Choi vs Ryan Sickle / Mark Ainsworth6-4, 3-6, 1-0
L#1 DoublesRandy Bridgeman / Darren Lubotsky vs Vijayakumar Velmurugan / MacH Lakshmanan3-6, 0-6
L#1 SinglesGabriel Garcia vs Sathish Ponneboina7-6, 1-6, 0-1
W#2 DoublesDouglas Smith / Keith Boutell vs Maheswaran Pongaiyan / Adithya Puskoor7-5, 4-5, 1-0
L#2 SinglesDANIEL SULLIVAN vs Bhanuchandar Sadineni3-6, 4-6
W#3 DoublesLincoln Wang / Jeffrey Bartow vs Arvind Ramesh / Krishnakumar Ganesh6-1, 6-0
2021-09-19Lost 03
L#1 DoublesJohn Leubner / Saurab Bhargava vs Thomas Nacher / Jack Hessinger4-6, 7-5, 0-1
L#2 DoublesKeith Boutell / Darren Lubotsky vs Michael Behrensmeyer / Young Choi1-6, 6-7
L#2 SinglesLincoln Wang vs Igor Gogov5-7, 7-5, 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 standings6 teams · E
TeamWLInd. WInd. LSets lostGames lost
1CDTA E 18&O W/E 4.0M Tam Aguayo Sat 1 $2010041928271
2CDTA E 18&O W/E 4.0M Tam Leonardo Sun 1 $2073302051438
3CDTA E 18&O W/E 4.0M Forest View Takahashi Sat 4 $2164272353411
4CDTA E 18&O W/E 4.0M Heritage Ramesh Sat 6 $2137203061390
5CDTA E 18&O W/E 4.0M MT Chi Brown Sun 12 $2528183267429
6CDTA E 18&O W/E 4.0M Naperville Podwika Sat 2 $201994182531

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 3.48 estimated across 5 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.

3.94
John Leubner
usually #2 Doubles 60%, also #1 Doubles 40% · published
Chester Choi
usually #3 Doubles 50%, also #1 Doubles 50% · published 4
Gabriel Garcia
usually #3 Doubles 50%, also #1 Singles 25% · published 4
3.53
Alex Bok
published 4
3.46
Keith Boutell
usually #2 Doubles 50%, also #1 Doubles 33% · published
3.31
Joseph Lyden
published 3.5
3.15
Darren Lubotsky
usually #1 Doubles 40%, also #3 Doubles 40% · published 3.5
DANIEL SULLIVAN
usually #2 Singles 50%, also #3 Doubles 50% · published
Jeffrey Bartow
usually #1 Singles 50%, also #2 Singles 17% · published
Lincoln Wang
usually #1 Singles 43%, also #2 Singles 29% · published
Randy Bridgeman
usually #1 Doubles 100% · published
Saurab Bhargava
usually #1 Doubles 100% · published
Ted Tubekis
usually #1 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.

John Leubner + Keith Boutell3451% gamesnot enough data
Keith Boutell + Darren Lubotsky044 matchesnot enough data
Chester Choi + Keith Boutell123 matchesnot enough data
Keith Boutell + Alex Bok123 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.

John Leubner
104W–51L career · 5 lines in 2022
<1%68%32%
3.94
4
Chester Choi
8W–29L career · 2 lines in 2022
not enough data
4
Gabriel Garcia
3W–20L career · 4 lines in 2022
not enough data
4
Alex Bok
1W–8L career · type S · no lines in 2022
42%58%<1%
3.53
Keith Boutell
80W–99L career · 6 lines in 2022
<1%62%38%
3.46
3.5
Joseph Lyden
66W–115L career · no lines in 2022
1%92%7%
3.31
3.5
Darren Lubotsky
5W–16L career · 5 lines in 2022
13%87%<1%
3.15
DANIEL SULLIVAN
0W–10L career · 2 lines in 2022
not enough data
Jeffrey Bartow
16W–10L career · 6 lines in 2022
not enough data
Lincoln Wang
12W–9L career · 7 lines in 2022
not enough data
Randy Bridgeman
1W–9L career · 1 line in 2022
not enough data
Saurab Bhargava
2W–7L career · 2 lines in 2022
not enough data
Ted Tubekis
25W–15L 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.