Teams

CDTA W 40&OM3.5 1.RT Ciuca Sun 2 $27

CDTA 1Winter 40 & Over W · E

20 players · average NTRP 3.55 / 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 →
Schedule8 played
W#3 DoublesMichael Hong / Deuce Tu vs Rahul Patet / Billy Lin6-2, 6-3
L#2 DoublesJeffrey Porto / David MacK vs Dhiraj Rustagi / Rod Laureano6-7, 2-3
W#3 DoublesMariusz Cislak / Davis Scott vs Sourav Sen / Krishnakumar Ganesh3-6, 6-4, 1-0
2026-04-18Lost 01
L#1 DoublesMARK CUSHING / Michael Hong vs Mark Garcia / John Kim6-7, 2-5
L#1 DoublesTai Tran / Davis Scott vs Jon Geise / Guilherme Pinto7-6, 4-6, 1-0
W#2 DoublesJeffrey Porto / David MacK vs Sean Conboy / Michael LeBaron4-6, 6-3, 1-0
2026-03-01Split 11
L#1 DoublesBrian Atad / Stephen Burriesci vs Keith Boutell / Joel Brown3-6, 4-6
W#3 DoublesMichael Hong / Tai Tran vs Chad Anderson / David Fields6-0, 6-2
L#1 DoublesMatthew Bialko / MARK CUSHING vs Travis White / Karn Sri7-6, 2-6, 0-1
W#3 DoublesHiren Patel / Stephen Burriesci vs Justin Hoogendoorn / Eric Esancy6-3, 6-2
W#2 DoublesMichael Hong / Stephen Burriesci vs Brian Toba / Michael Costello6-2, 7-5
W#2 DoublesMichael Hong / Matt Newman vs Mandar Bankhele / Dhiraj Rustagi6-2, 6-3
W#3 DoublesJohn McKitrick / Stephen Burriesci vs Sateesh Mandumula / Apoorva Prakash7-5, 2-6, 1-0
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 standings5 teams · E
TeamWLInd. WInd. LSets lostGames lost
1CDTA W 40&OM3.5 1.RT Ciuca Sun 2 $278024822227
2CDTA W 40&OM3.5 2.Tam Bhat Sat 5 $2262221031256
3CDTA W 40&OM3.5 4.Naper Esancy Sun 4:30 $243582452329
4CDTA W 40&OM3.5 3.Tam Kanev Sun 5 $2226151736250
5CDTA W 40&OM3.5 5.FV Rustagi Sun 4 $2517112146309

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 3.43 estimated across 16 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.

4.06
Adrian Ciuca
published 4
3.59
Deuce Tu
published 3.5
3.58
Geoffrey Miller
usually #2 Doubles 63%, also #1 Doubles 38% · published
3.56
Daniel Nica
published 3.5
3.53
Jorge Valdez
published
3.51
Michael Hong
usually #3 Doubles 40%, also #2 Doubles 40% · published
3.45
Rick Spurgeon
published 3.5
3.40
Paul Leyderman
published 3.5
3.39
Mariusz Cislak
published 3.5
3.38
Stephen Burriesci
usually #3 Doubles 50%, also #1 Doubles 25% · published
3.38
Jeffrey Porto
published 3.5
3.36
3.25
John McKitrick
usually #3 Doubles 100% · published
3.19
Davis Scott
usually #3 Doubles 50%, also #1 Doubles 50% · published 3.5
3.16
David MacK
usually #2 Doubles 100% · published 3.5
3.16
Brian Atad
published 3.5
Hiren Patel
published
MARK CUSHING
usually #1 Doubles 100% · published
Matt Newman
published
Matthew Bialko
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.

Geoffrey Miller + Rick Spurgeon22062% games+5.9% vs expected
Daniel Nica + Nicolae Cristian ROMAN9357% games+1.9% vs expected
David MacK + Jeffrey Porto252252% games+1.0% vs expected
Michael Hong + Nicolae Cristian ROMAN4456% gamesnot enough data
Michael Hong + Jeffrey Porto4454% gamesnot enough data
Michael Hong + Mariusz Cislak6061% gamesnot enough data
Geoffrey Miller + Paul Leyderman2352% gamesnot enough data
John McKitrick + Mariusz Cislak044 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.

4
Adrian Ciuca
246W–154L career · no lines in 2026
<1%32%68%
4.06
3.5
Deuce Tu
65W–53L career · no lines in 2026
<1%25%75%
3.59
Geoffrey Miller
57W–45L career · 8 lines in 2026
<1%28%72%
3.58
3.5
Daniel Nica
63W–25L career · no lines in 2026
<1%33%67%
3.56
Jorge Valdez
8W–11L career · no lines in 2026
42%58%<1%
3.53
Michael Hong
124W–70L career · 5 lines in 2026
<1%<1%>99%
3.51
3.5
Rick Spurgeon
141W–59L career · no lines in 2026
<1%63%37%
3.45
3.5
Paul Leyderman
147W–140L career · no lines in 2026
<1%76%24%
3.40
3.5
Mariusz Cislak
254W–157L career · no lines in 2026
<1%78%22%
3.39
Stephen Burriesci
9W–10L career · 4 lines in 2026
<1%80%19%
3.38
3.5
Jeffrey Porto
135W–109L career · no lines in 2026
<1%81%19%
3.38
3.5
Nicolae Cristian ROMAN
74W–44L career · no lines in 2026
1%84%16%
3.36
John McKitrick
14W–6L career · 1 line in 2026
3%93%4%
3.25
3.5
Davis Scott
34W–17L career · 2 lines in 2026
9%90%1%
3.19
3.5
David MacK
90W–74L career · 2 lines in 2026
12%87%1%
3.16
3.5
Brian Atad
129W–123L career · no lines in 2026
13%87%1%
3.16
Hiren Patel
8W–5L career · no lines in 2026
not enough data
MARK CUSHING
31W–9L career · 2 lines in 2026
not enough data
Matt Newman
11W–9L career · no lines in 2026
not enough data
Matthew Bialko
4W–2L career · 1 line in 2026
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.