Teams

CDTA S 18&OM3.0 2.MT Chi Brown Sat 3 $30

CDTA 1Summer Adult 18 & Over · CDTA 18 & Over M 3.0 Summer

15 players · average NTRP 3.07 / 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 →
Schedule6 played
L#1 DoublesJeffrey Aleman / Raymond Tan vs Christopher Caya / Barney Straus4-6, 3-6
W#2 DoublesMichael Chan / Jeff Siegel vs Bob Jenkins / TERENCE MCMAHON6-0, 6-2
L#3 DoublesSumit Gambhir / Dane Stevenson vs Brad Fujii / Gerald Granath5-7, 1-4
W#1 DoublesMichael Chan / Raymond Tan vs Tarun Chawla / Jansen Gough6-4, 6-2
W#2 DoublesJeffrey Aleman / Christopher Dressel vs Alexander Drapatsky / Dan Wasiolek7-6, 6-5
L#3 DoublesJeff Siegel / Daniel Sims vs Travis Marks / John Toepfer1-6, 1-6
2024-06-16vs CDTA A18&O 3.0M River Trails CiucaLost 12
W#1 DoublesChristopher Dressel / Brian Kang vs Jonathan Ho / Jeremy Brooks6-3, 6-2
L#2 DoublesMason Shinn / Dane Stevenson vs Manuel Rus / Takayuki Sato5-7, 7-6, 1-0
L#3 DoublesJeff Siegel / Robert Saarinen vs Robert Madore / Arvin Boyon0-6, 2-6
2024-06-08Won 20
W#1 DoublesChristopher Dressel / Joseph Olstein vs N/A6-0, 6-0
W#3 DoublesJeff Siegel / Barry Gork vs N/A6-0, 6-0
W#1 DoublesChristopher Dressel / Kevin Klement vs Tarun Chawla / Gregory Franzo6-4, 5-3
L#2 DoublesJoseph Olstein / Mason Shinn vs Rob Birnberg / Jansen Gough6-7, 2-5
L#3 DoublesSumit Gambhir / Daniel Brosk vs Segundo Auqui / Mike Snyders2-6, 5-7
L#1 DoublesJeff Siegel / Daniel Brosk vs Andrew Servita / Hilario Salgado2-6, 1-6
L#2 DoublesDaniel Sims / Joseph Olstein vs Luciano Tovar / Ruben Mora1-6, 1-6
W#3 DoublesBarry Gork / Jeffrey Aleman vs Andrei Stockton / Ricardo Oliva7-5, 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 standings6 teams · CDTA 18 & Over M 3.0 Summer
TeamWLInd. WInd. LSets lostGames lost
1CDTA A18&O 3.0M River Trails Ciuca61231228264
2CDTA S 18&OM3.0 4.Centennial Franzo Sat 9 $2052251023213
3CDTA S 18&OM3.0 1.Oak Lawn Salgado Sat 2 $2043191634249
4CDTA S 18&OM3.0 3.MT Bann(OUT) Reese Sun 6 $2534142146340
5CDTA S 18&OM3.0 2.MT Chi Brown Sat 3 $3025132244305
6CDTA S 18&OM3.0 6.Centennial McMahon Sat 1 $2016112450356

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 2.85 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.

Christopher Dressel
usually #1 Doubles 67%, also #2 Doubles 33% · published 3.5
3.09
Mason Shinn
usually #2 Doubles 100% · published
3.04
Kevin Klement
usually #1 Doubles 100% · published
3.03
Raymond Tan
usually #1 Doubles 100% · published
2.99
Joseph Olstein
usually #2 Doubles 67%, also #1 Doubles 33% · published 3
2.97
Jeffrey Aleman
usually #3 Doubles 33%, also #2 Doubles 33% · published 3
2.79
Dane Stevenson
usually #3 Doubles 50%, also #2 Doubles 50% · published 3
2.78
Barry Gork
usually #3 Doubles 100% · published 3
Brian Kang
published 3
2.67
Daniel Brosk
usually #1 Doubles 50%, also #3 Doubles 50% · published 3
2.62
Jeff Siegel
usually #3 Doubles 50%, also #2 Doubles 25% · published
2.56
Jim Rowe
published
Kunal Varma
published
Robert Saarinen
usually #3 Doubles 100% · published
Sumit Gambhir
usually #3 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.

Jeffrey Aleman + Joseph Olstein9265% games+3.3% vs expected
Jeff Siegel + Barry Gork7649% games+2.6% vs expected
Jeffrey Aleman + Raymond Tan2351% games−0.1% vs expected
Barry Gork + Jim Rowe11517% gamesnot enough data
Jeff Siegel + Daniel Brosk2443% gamesnot enough data
Barry Gork + Dane Stevenson3350% gamesnot enough data
Jeffrey Aleman + Dane Stevenson2343% gamesnot enough data
Mason Shinn + Raymond Tan4158% gamesnot 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.

3.5
Christopher Dressel
23W–10L career · 3 lines in 2024
not enough data
Mason Shinn
13W–12L career · 2 lines in 2024
<1%27%73%
3.09
Kevin Klement
12W–3L career · 1 line in 2024
<1%39%61%
3.04
Raymond Tan
25W–9L career · 2 lines in 2024
<1%42%58%
3.03
3
Joseph Olstein
31W–12L career · 3 lines in 2024
<1%54%46%
2.99
3
Jeffrey Aleman
39W–39L career · 3 lines in 2024
<1%58%42%
2.97
3
Dane Stevenson
16W–21L career · 2 lines in 2024
2%91%7%
2.79
3
Barry Gork
43W–77L career · 2 lines in 2024
2%92%5%
2.78
3
Brian Kang
1W–3L career · no lines in 2024
not enough data
3
Daniel Brosk
16W–28L career · 2 lines in 2024
12%87%1%
2.67
Jeff Siegel
45W–74L career · 4 lines in 2024
19%80%<1%
2.62
Jim Rowe
12W–55L career · no lines in 2024
34%66%<1%
2.56
Kunal Varma
7W–13L career · no lines in 2024
not enough data
Robert Saarinen
0W–1L career · 1 line in 2024
not enough data
Sumit Gambhir
0W–6L career · 2 lines in 2024
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.