Teams

Double Trouble (Brown)

2026 STL Mixed 40 & Over · 6.0 Combined

11 players · average NTRP 3.17 / ST. LOUIS

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
2026-08-23vs Raising a Racquet (Henze)Won 21
W#1 DoublesNancy Brown / Matt Koch vs Jeffrey Traigle / Joan J Zilch6-2, 6-3
W#2 DoublesDavid Busker / Kate Swingle vs Pam Henze / James Trevor2-6, 6-1, 1-0
L#3 DoublesSanjeev Kamat / Tina Bade vs Lisa Eckenrodt / Zach Weil6-4, 3-6, 0-1
2026-08-16vs 40-Love (Rhoads)Split 11
L#1 DoublesJulie Miller / Brett Miller vs Kevin Mowery / Amy David2-6, 1-6
W#2 DoublesJennifer Caton / David Busker vs John McGowan / Ginger Kluesner1-6, 6-3, 1-0
2026-08-16vs Rackets in Rhythm (Phillips)Lost 12
L#1 DoublesTina Bade / Brian Kearns vs Bellande Saint-Louis / Latisha Walton1-6, 7-6, 0-1
W#2 DoublesDavid Busker / Jennifer Caton vs Arthur Jordan / Sabrina Siyanbola6-2, 6-3
L#3 DoublesSanjeev Kamat / Ramona Behshad vs Ernest Coleman / Seember Ityokumbul4-6, 2-6
2026-08-09vs Get a Grip (Reyes-Teach)Lost 03
L#1 DoublesJulie Miller / Brett Miller vs Michele Cantrell / Kevin Hapke6-7, 6-5, 0-1
L#2 DoublesMatt Koch / Kate Swingle vs Cara Artman / Nicholas Damato7-5, 1-6, 0-1
L#3 DoublesErwin Orendain / Ramona Behshad vs Anthony Salvati / Jennie Oberkrom2-6, 1-6
2026-07-19vs Raising a Racquet (Henze)Lost 12
L#1 DoublesNancy Brown / David Busker vs Pam Henze / James Trevor3-6, 0-6
L#2 DoublesErwin Orendain / Jennifer Caton vs Joan J Zilch / Joe de Marco1-6, 5-7
W#3 DoublesBrian Kearns / Tina Bade vs Emily Louise Hasson / Zach Weil6-4, 6-0
2026-07-12vs 40-Love (Rhoads)Won 21
L#1 DoublesJulie Miller / Brett Miller vs Jenna Ottman / Brian Stoop6-7, 3-5
W#2 DoublesJennifer Caton / Matt Koch vs Carolyn Russo / Mark Russo5-7, 6-3, 1-0
W#3 DoublesBrian Kearns / Tina Bade vs Sarah Rigby / Tom Rhoads6-4, 6-5
2026-06-28vs Get a Grip (Reyes-Teach)Lost 12
L#1 DoublesMatt Koch / Kate Swingle vs John Leclerc / Michele Cantrell1-6, 4-6
L#2 DoublesSanjeev Kamat / Tina Bade vs Chris Kadel / Cara Artman0-6, 4-6
W#3 DoublesBrian Kearns / Ramona Behshad vs ROSELYN REYES-TEACH / Anthony Salvati2-6, 6-4, 1-0
2026-06-07vs Rackets in Rhythm (Phillips)Lost 03
L#1 DoublesJulie Miller / Brett Miller vs DERRICK WILLIAMS / Rochelle Moore4-6, 1-6
L#2 DoublesNancy Brown / David Busker vs Orlando Phillips / Jo Sargent6-7, 0-5, 0-1
L#3 DoublesBrian Kearns / Tina Bade vs Bellande Saint-Louis / Latisha Walton1-6, 6-3, 0-1
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 standings5 teams · 6.0 Combined
TeamWLInd. WInd. LSets lostGames lost
1Rackets in Rhythm (Phillips)501326103
2Get a Grip (Reyes-Teach)4211718158
3Raising a Racquet (Henze)2481022180
440-Love (Rhoads)2461226189
5Double Trouble (Brown)1441125166

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 2.70 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.

3.27
Brian Kearns
usually #3 Doubles 80%, also #1 Doubles 20% · published 3.5
3.12
Sanjeev Kamat
usually #3 Doubles 71%, also #1 Doubles 14% · published
2.90
Matt Koch
usually #1 Doubles 50%, also #2 Doubles 50% · published
2.85
Brett Miller
usually #1 Doubles 57%, also #3 Doubles 29% · published 3
2.84
David Busker
usually #2 Doubles 80%, also #1 Doubles 20% · published 3
2.74
Kate Swingle
usually #2 Doubles 67%, also #1 Doubles 33% · published
2.56
Jennifer Caton
usually #2 Doubles 100% · published
2.56
Erwin Orendain
usually #3 Doubles 50%, also #2 Doubles 50% · published
2.18
Tina Bade
usually #3 Doubles 67%, also #2 Doubles 17% · published
1.97
Ramona Behshad
usually #3 Doubles 100% · published
Julie Miller
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.

Julie Miller + Brett Miller201055% games+4.2% vs expected
Brian Kearns + Tina Bade224 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.

3.5
Brian Kearns
15W–9L career · type M · 5 lines in 2026
3%92%5%
3.27
Sanjeev Kamat
63W–111L career · 7 lines in 2026
19%81%<1%
3.12
Matt Koch
9W–30L career · 4 lines in 2026
77%23%<1%
2.90
3
Brett Miller
75W–67L career · 7 lines in 2026
1%85%15%
2.85
3
David Busker
56W–45L career · 5 lines in 2026
1%87%12%
2.84
Kate Swingle
34W–70L career · 3 lines in 2026
4%93%3%
2.74
Jennifer Caton
29W–79L career · 4 lines in 2026
33%67%<1%
2.56
Erwin Orendain
1W–18L career · 2 lines in 2026
34%65%<1%
2.56
Tina Bade
5W–23L career · 6 lines in 2026
0%99%1%
2.18
Ramona Behshad
7W–34L career · 3 lines in 2026
0%>99%<1%
1.97
Julie Miller
47W–56L 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.