Teams

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

CDTA 2Winter 18 & Over W · E

24 players · average NTRP 3.09 / 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 →
Schedule4 played
W#1 DoublesBrett Huelat / Christopher Dressel vs Andrew Servita / Luciano Tovar6-1, 6-2
W#1 SinglesKevin Klement vs Ruben Mora6-2, 6-3
W#2 DoublesBarry Gork / Mason Shinn vs Jorge Mora / Nathaniel Garcia6-3, 6-2
L#3 DoublesJohn Schaefer / Sumit Gambhir vs Hilario Salgado / Ricardo Oliva4-6, 2-6
W#1 DoublesZach Cronin / Randall Lehner vs Jansen Gough / Gregory Franzo4-6, 6-3, 1-0
L#1 SinglesKunal Varma vs Kyle Swinsky0-6, 1-6
L#2 DoublesKevin Peterson / Jason StPeters vs Michael DiFranco / Abiman Rajadurai2-6, 4-6
L#2 SinglesMiljan Vukovic vs Dan Wasiolek1-6, 2-6
W#3 DoublesMason Shinn / Jeff Siegel vs Mike Snyders / John Toepfer6-1, 6-4
W#2 SinglesMiljan Vukovic vs Ali Wadia4-6, 6-4, 1-0
W#3 DoublesDane Stevenson / Kunal Varma vs Aaron Stockton / Andrei Stockton5-7, 7-5, 1-0
W#1 DoublesChristopher Dressel / Joseph Olstein vs Tarun Chawla / Alexander Drapatsky6-3, 4-6, 1-0
L#2 DoublesRandall Lehner / Ertan Kocagil vs Michael DiFranco / Quinn Ford4-6, 5-6
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 standings for E 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 2.85 estimated across 11 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.

Brett Huelat
usually #3 Doubles 50%, also #1 Doubles 50% · published 3.5
Christopher Dressel
usually #1 Doubles 100% · published 3.5
3.23
Zach Cronin
usually #1 Doubles 100% · published
3.09
Mason Shinn
usually #2 Doubles 50%, also #3 Doubles 50% · published
3.02
Kevin Klement
usually #1 Singles 100% · published
2.98
Joseph Olstein
published 3
2.97
Jeffrey Aleman
published 3
2.78
Dane Stevenson
usually #3 Doubles 100% · published 3
2.77
Barry Gork
published 3
Brian Kang
published 3
Eric Sanders
published 3
Ertan Kocagil
usually #2 Doubles 100% · published 3
2.67
David Cintron Jr
published 3
2.65
Daniel Brosk
published 3
2.60
Jeff Siegel
usually #3 Doubles 100% · published
2.58
Jim Rowe
published
Jason StPeters
usually #2 Doubles 100% · published
Kevin Peterson
published
Kunal Varma
usually #3 Doubles 50%, also #1 Singles 50% · published
Matthew Miedona
published
Miljan Vukovic
usually #2 Singles 100% · published
Nick Miller
published
Randall Lehner
usually #2 Doubles 50%, also #1 Doubles 50% · 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.

David Cintron Jr + Matthew Miedona6072% games+17.7% vs expected
Jeff Siegel + Barry Gork7649% games+3.5% vs expected
Jeffrey Aleman + Joseph Olstein9265% games+3.1% vs expected
Randall Lehner + Jeffrey Aleman3246% games−3.0% vs expected
Barry Gork + David Cintron Jr41330% games−7.0% vs expected
Barry Gork + Jim Rowe11517% gamesnot enough data
Eric Sanders + Randall Lehner7558% gamesnot enough data
Jeff Siegel + Daniel Brosk2443% 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
Brett Huelat
9W–3L career · 2 lines in 2024
not enough data
3.5
Christopher Dressel
24W–10L career · 2 lines in 2024
not enough data
Zach Cronin
8W–5L career · 1 line in 2024
4%94%2%
3.23
Mason Shinn
13W–12L career · 2 lines in 2024
<1%24%76%
3.09
Kevin Klement
12W–3L career · 1 line in 2024
<1%43%57%
3.02
3
Joseph Olstein
31W–12L career · no lines in 2024
<1%57%43%
2.98
3
Jeffrey Aleman
39W–39L career · no lines in 2024
<1%59%41%
2.97
3
Dane Stevenson
16W–21L career · 1 line in 2024
2%94%4%
2.78
3
Barry Gork
43W–77L career · no lines in 2024
2%94%4%
2.77
3
Brian Kang
1W–3L career · no lines in 2024
not enough data
3
Eric Sanders
23W–20L career · no lines in 2024
not enough data
3
Ertan Kocagil
8W–20L career · 1 line in 2024
not enough data
3
David Cintron Jr
37W–73L career · no lines in 2024
9%90%1%
2.67
3
Daniel Brosk
16W–28L career · no lines in 2024
13%86%<1%
2.65
Jeff Siegel
48W–83L career · 1 line in 2024
23%77%<1%
2.60
Jim Rowe
12W–55L career · no lines in 2024
26%74%<1%
2.58
Jason StPeters
0W–1L career · 1 line in 2024
not enough data
Kevin Peterson
4W–2L career · no lines in 2024
not enough data
Kunal Varma
7W–13L career · 2 lines in 2024
not enough data
Matthew Miedona
15W–17L career · no lines in 2024
not enough data
Miljan Vukovic
1W–1L career · 2 lines in 2024
not enough data
Nick Miller
5W–1L career · no lines in 2024
not enough data
Randall Lehner
44W–40L career · 2 lines in 2024
not enough data
Sumit Gambhir
0W–6L career · 1 line 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.