Teams

CDTA S Tri 3.5/4.0/4.5M Tam Leonardo Sat 3 $22

CDTA Summer Tri Level · Men 3.5

13 players · average NTRP 4.10 / 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#1 DoublesPeter Itskovich / Ethan Fowler vs Rod Wienke / William Heuer7-5, 6-5
W#2 DoublesGregg Rousseau / Takayuki Higuchi vs Robert Cal / Chuck Blumenthal6-1, 6-2
L#3 DoublesBrian Toba / Rod Ganesan vs Alfred Tam / Charles Schinzer7-5, 1-4, 0-1
L#1 DoublesEric Matten / Peter Itskovich vs Peter Hammond / Stanley Kim2-6, 3-6
L#2 DoublesGregg Rousseau / Takayuki Higuchi vs Terrence Gamboa / Carlos Alcantar7-6, 1-4, 0-1
W#3 DoublesBrian Toba / Rod Ganesan vs Jason Godo / RICO de LARA6-2, 6-3
L#1 DoublesDan Rubenstein / Eric Matten vs Peter Hammond / Stanley Kim2-6, 2-6
W#2 DoublesSeisuke Narita / Masaki Nozawa vs Terrence Gamboa / Carlos Alcantar6-2, 2-6, 1-0
W#3 DoublesRod Ganesan / Justin Booms vs Brian Benzer / Leo Kanev6-2, 6-7, 1-0
L#1 DoublesPeter Itskovich / Eric Matten vs Han Han / Michael Sims3-6, 0-6
W#2 DoublesTakayuki Higuchi / Dan Rubenstein vs Rick Aguayo / John Leubner4-6, 6-4, 1-0
W#3 DoublesJustin Booms / Rod Ganesan vs Vishal Dhar / Peidi Wu7-6, 4-5, 1-0
W#2 DoublesGregg Rousseau / Gilbert Fitzgerald vs Brett Wangman / Gregory Adams6-3, 6-2
W#3 DoublesJustin Booms / Rod Ganesan vs David Horton / Jason Leung4-6, 6-4, 1-0
W#2 DoublesTakayuki Higuchi / Joon Sung vs Adrian Ciuca / Brett Wangman6-2, 6-1
W#3 DoublesRod Ganesan / Justin Booms vs Jason Leung / Michael Hong6-3, 4-6, 1-0
L#1 DoublesDan Rubenstein / Ethan Fowler vs Cesar Uribe / Michael Sims1-6, 1-6
W#2 DoublesSeisuke Narita / Masaki Nozawa vs Rick Aguayo / John Leubner6-2, 6-0
L#3 DoublesBrian Toba / Rod Ganesan vs Vishal Dhar / Tuhin Misri4-6, 3-6
L#1 DoublesEthan Fowler / Eric Matten vs John Li / Rod Wienke3-6, 3-6
W#2 DoublesGilbert Fitzgerald / Takayuki Higuchi vs Rafael Lozada / Chuck Blumenthal6-4, 6-2
W#3 DoublesBrian Toba / Rod Ganesan vs Robert Cal / Marc Adams6-2, 6-4
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 · Men 3.5
TeamWLInd. WInd. LSets lostGames lost
1CDTA S Tri 3.5/4.0/4.5M Tam Reynoso Sat 1 $226215921189
2CDTA S Tri 3.5/4.0/4.5M Tam Leonardo Sat 3 $2262141026215
3CDTA S Tri 3.5/4.0/4.5M Tam Aguayo Mon 7 $2244141024194
4CDTA S Tri 3.5/4.0/4.5M River Trails Ciuca Tues 7 $2026101430236
5CDTA S Tri 3.5/4.0/4.5M Glenbrook Li Sat 5 $252671736259

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 3.72 estimated across 8 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.

Gilbert Fitzgerald
usually #2 Doubles 100% · published 4.5
Gregg Rousseau
usually #2 Doubles 100% · published 4.5
4.24
Peter Itskovich
usually #1 Doubles 100% · published
3.90
Justin Booms
usually #3 Doubles 100% · published
3.87
Joon Sung
usually #2 Doubles 100% · published
3.83
Ethan Fowler
usually #1 Doubles 100% · published 4.5
3.80
Masaki Nozawa
usually #2 Doubles 100% · published
3.64
Paul Leonardo
published
3.40
Rod Ganesan
usually #3 Doubles 100% · published 3.5
3.10
Brian Toba
usually #3 Doubles 100% · published 3.5
Eric Matten
usually #1 Doubles 100% · published
Seisuke Narita
usually #2 Doubles 100% · published
Takayuki Higuchi
usually #2 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.

Takayuki Higuchi + Gilbert Fitzgerald6067% games+23.8% vs expected
Rod Ganesan + Justin Booms6257% games+5.7% vs expected
Paul Leonardo + Joon Sung314 matchesnot enough data
Rod Ganesan + Brian Toba224 matchesnot enough data
Masaki Nozawa + Seisuke Narita303 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.

4.5
Gilbert Fitzgerald
14W–10L career · 2 lines in 2022
not enough data
4.5
Gregg Rousseau
104W–27L career · 3 lines in 2022
not enough data
Peter Itskovich
23W–15L career · 3 lines in 2022
3%94%2%
4.24
Justin Booms
101W–55L career · 4 lines in 2022
<1%78%22%
3.90
Joon Sung
91W–45L career · 1 line in 2022
<1%83%16%
3.87
4.5
Ethan Fowler
6W–15L career · 3 lines in 2022
91%9%<1%
3.83
Masaki Nozawa
79W–34L career · 2 lines in 2022
1%93%6%
3.80
Paul Leonardo
91W–64L career · no lines in 2022
14%86%<1%
3.64
3.5
Rod Ganesan
135W–81L career · 8 lines in 2022
<1%77%23%
3.40
3.5
Brian Toba
161W–101L career · 4 lines in 2022
22%78%<1%
3.10
Eric Matten
20W–13L career · 4 lines in 2022
not enough data
Seisuke Narita
56W–16L career · 2 lines in 2022
not enough data
Takayuki Higuchi
39W–16L career · 5 lines 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.