Teams

CDTA S 40&OM3.5 4.MTB(OUT) Shields Sun 10 $29

1Summer 40&O WN · WE

20 players · average NTRP 3.25 / 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 →
Schedule5 played
W#1 DoublesGeoffrey Miller / Rick Spurgeon vs Andy Gould / Kedar Bhat6-0, 6-3
W#1 SinglesKyle Shamrock vs Carlos Canetta6-2, 6-0
L#2 DoublesChristian Trujillo / Scott Drury vs Robert Cal / Chuck Narunatvanich4-6, 1-5
L#1 DoublesKyle Shamrock / Gregory Meyer vs MARK CUSHING / Matt Newman2-6, 2-6
L#2 DoublesAlex Paz / Joseph Castriano vs Mariusz Cislak / Michael Hong2-6, 4-6
L#3 DoublesChristian Trujillo / Marc Samson vs David MacK / Jeffrey Porto3-6, 4-6
W#1 DoublesGeoffrey Miller / Rick Spurgeon vs Kedar Bhat / Rod Ganesan6-4, 3-5
L#2 DoublesBrad Schulman / Alex Paz vs Mark Garcia / Bruce Caughran5-7, 2-6
L#3 DoublesMitchell Weinstein / Daniel Halperin vs Robert Cal / Chuck Narunatvanich4-6, 5-4, 0-1
L#1 DoublesKyle Shamrock / Ronald Sklare vs Keith Boutell / Charles Schafer2-6, 4-6
L#2 DoublesAlex Paz / Mark Juhl vs Hunter Wiggins / David Grimm4-6, 0-6
L#3 DoublesChristian Trujillo / Marc Samson vs Sean Conboy / Leo Kanev7-5, 3-6, 1-0
L#1 DoublesAlex Paz / Mark Juhl vs Michael Hong / Nicolae Cristian ROMAN2-6, 4-6
L#3 DoublesHoward Braun / Mitchell Weinstein vs Jeffrey Porto / John McKitrick3-6, 3-6
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 standings4 teams · WE
TeamWLInd. WInd. LSets lostGames lost
1CDTA S 40&OM3.5 3.Tam Kanev Sun 5 $226018616151
2CDTA S 40&OM3.5 2.RT Ciuca Wed 7 $274216822202
3CDTA S 40&OM3.5 1.Tam Bhat Tue 7 $2215101431224
4CDTA S 40&OM3.5 4.MTB(OUT) Shields Sun 10 $291542041257

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 3.19 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.

3.58
Geoffrey Miller
usually #1 Doubles 100% · published
3.45
Rick Spurgeon
published 3.5
3.41
Mark Juhl
usually #1 Doubles 50%, also #2 Doubles 50% · published
3.40
Paul Leyderman
published 3.5
3.32
Ronald Sklare
usually #1 Doubles 100% · published
Alex Paz
published 3.5
Brad Schulman
usually #2 Doubles 100% · published 3.5
3.17
Mitchell Weinstein
usually #3 Doubles 100% · published
3.03
Daniel Halperin
usually #3 Doubles 100% · published 3
2.99
Richard Foss
published
2.96
Marc Samson
published 3
2.89
Christian Trujillo
usually #3 Doubles 67%, also #2 Doubles 33% · published 3
2.84
Gregory Meyer
published
Howard Braun
usually #3 Doubles 100% · published
Ivan Kovacevic
published
Joseph Castriano
usually #2 Doubles 100% · published
Kyle Shamrock
usually #1 Doubles 67%, also #1 Singles 33% · published
Peter Shields
published
Scott Drury
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.

Christian Trujillo + Daniel Halperin7264% games+14.7% vs expected
Geoffrey Miller + Rick Spurgeon22062% games+5.9% vs expected
Richard Foss + Paul Leyderman3353% games+4.0% vs expected
Marc Samson + Christian Trujillo2642% games+0.4% vs expected
Marc Samson + Daniel Halperin15657% games+0.1% vs expected
Mitchell Weinstein + Howard Braun5849% games−1.8% vs expected
Richard Foss + William Strickley31639% games−13.5% vs expected
William Strickley + Howard Braun2849% 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.

Geoffrey Miller
57W–45L career · 2 lines in 2026
<1%28%72%
3.58
3.5
Rick Spurgeon
141W–59L career · no lines in 2026
<1%63%37%
3.45
Mark Juhl
24W–37L career · 2 lines in 2026
74%26%<1%
3.41
3.5
Paul Leyderman
147W–140L career · no lines in 2026
<1%76%24%
3.40
Ronald Sklare
15W–10L career · 1 line in 2026
1%89%10%
3.32
3.5
Alex Paz
35W–42L career · no lines in 2026
not enough data
3.5
Brad Schulman
46W–12L career · 1 line in 2026
not enough data
Mitchell Weinstein
48W–58L career · 2 lines in 2026
11%88%1%
3.17
3
Daniel Halperin
31W–15L career · 1 line in 2026
<1%42%58%
3.03
Richard Foss
58W–105L career · no lines in 2026
54%46%<1%
2.99
3
Marc Samson
32W–27L career · no lines in 2026
<1%61%39%
2.96
3
Christian Trujillo
20W–25L career · 3 lines in 2026
<1%77%22%
2.89
3
William Strickley
116W–134L career · type A · no lines in 2026
1%87%12%
2.84
Gregory Meyer
11W–6L career · no lines in 2026
not enough data
Howard Braun
59W–91L career · 1 line in 2026
not enough data
Ivan Kovacevic
2W–14L career · no lines in 2026
not enough data
Joseph Castriano
24W–28L career · 1 line in 2026
not enough data
Kyle Shamrock
9W–10L career · 3 lines in 2026
not enough data
Peter Shields
121W–52L career · no lines in 2026
not enough data
Scott Drury
23W–21L career · no lines 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.