Teams

FC-Ball Busters-Mar

2022 Mixed 40 & Over · 7.0

17 players · average NTRP 3.62 / NORTHWEST WASHINGTON

View scouting list →
Schedule7 played
2022-08-06vs TCSP-BursiekWon 30
W#1 DoublesYasmeen Mar / Justin Low vs Catherine Bursiek / Mike Bursiek7-6, 6-3
W#2 DoublesCarmen Zlateff / Robert Liu vs Cheryl Capriola / Roderic Davis6-1, 6-2
W#3 DoublesMedilyn Barrett / Rajesh Singh vs Catherine Day / Matthew Day7-5, 6-2
2022-07-30vs PL-CarterWon 30
W#1 DoublesJeremy Cheung / Yasmeen Mar vs John Digenan / Sara Miller6-1, 6-0
W#2 DoublesCalvin Vu / Carmen Zlateff vs David Linehan / Barbara Wood6-4, 7-5
W#3 DoublesRajesh Singh / Suchita Thakur vs N/A6-0, 6-0
2022-07-23vs PSC-Song/Zhu 7.0Won 21
L#1 DoublesCarmen Zlateff / Robert Liu vs Ying-Fang Lai / Warren Yasutake3-6, 6-7
W#2 DoublesAngela Cummings / Stephane Perreault vs Camilla George / Yuan Wang6-2, 6-1
W#3 DoublesAnita Marrero / Randy Chin vs Lu Ruan / Vijay Beniwal3-3
2022-07-10vs WSC-Love All-WhitneyWon 21
L#1 DoublesYasmeen Mar / Jeetu Thakur vs Heather Lin / Todd Hassan5-7, 6-7
W#2 DoublesAndrea Jensen / Anthony Ramos vs Elena Ivanova / Kenn Wildes4-6, 6-3, 1-0
W#3 DoublesKathy Kenny / Stephane Perreault vs Neil Lapinsky / Kristen Mosebar6-2, 6-1
2022-07-03vs BC-Lee/CamaraWon 21
L#1 DoublesMedilyn Barrett / Jeremy Cheung vs Marilyn Johnson / Alfred Yu1-6, 6-2, 1-0
W#2 DoublesAnita Marrero / Randy Chin vs Jennifer Gardner / Matthew Scher6-4, 6-1
W#3 DoublesAngela Cummings / Stephane Perreault vs Joanne Sakoda / Chris Nelson7-5, 6-4
2022-07-01vs CP-Cloud Warriors-ViriththamullaWon 21
W#1 DoublesJustin Low / Andrea Jensen vs Pat Nevin / Christine Garnett6-3, 7-6
W#2 DoublesCalvin Vu / Angela Cummings vs Thomas Werner / Carolyn Werner4-6, 7-5, 1-0
L#3 DoublesJeetu Thakur / Suchita Thakur vs Gamage Viriththamulla / Maggie Xu6-4, 4-6, 0-1
2022-06-25vs CAC/SL-All Mixed Up-AgarwalWon 21
L#1 DoublesJustin Low / Medilyn Barrett vs Marie Fahey / Steven Nguyen4-6, 2-6
W#2 DoublesRandy Chin / Anita Marrero vs Mei Yang / Tri Dang6-3, 5-7, 1-0
W#3 DoublesAnthony Ramos / Kathy Kenny vs Jeffrey Hanson / Colleen Hanson6-4, 6-3
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 standings30 teams · 7.0
TeamWLInd. WInd. LSets lostGames lost
1HBSQ-Furman70201390
2PL-Samma Mish Mashers-Escalona701838130
3FC-Ball Busters-Mar7016513156
4PSC-Song/Zhu 7.06118311154
5CAC/SL-Brohams-Wanat6116512161
6WSC-Azure-Popoaei6115614147
7MI-Bertram6117415167
8TCSP-tennis crush-Wickham5215615172
9PSC-Zhang/Mu5215615153
10CAC/SL-All Mixed Up-Agarwal5214717177
11EDG-Fun-Juhn52111023184
12EDG-Netsetters-Gliner4312921187
13TCSP-Fast and the 40+ Nguyen43111021177
14CP-Doubles Trouble-Han43111022160
15FC-Scorpions-Calpe34101124194
16BELL-Mixed Up'Hamsters-Harwood3491227212
17BC-Lee/Camara3481329207
18TCSP-Bursiek3471430214
19CP-Key in Bowl-Chen2471124173
20BETC-Kean/Shutt 7.02591224193
21CP-Cloud Warriors-Viriththamulla2581331209
22EDG-Namba 7.02571431226
23RTC-Mixed Madness 40+ Hansberry2571432234
24PL-Carter2571433216
25MI-Double Shot-Holland2541735226
26TCSP-Double Trouble-Arron1661534236
27AYTC-It's Not Racquet Science-Chow0631531200
28WSC-Love All-Whitney0761532217
29AYTC-This is 40-Love-Padilla0751633231
30BTA-Tennis Jam-Cecil-Moore0721938235

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 3.52 estimated across 13 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.

3.91
Justin Low
usually #1 Doubles 80%, also #2 Doubles 20% · published 4
3.89
Carmen Zlateff
usually #2 Doubles 67%, also #1 Doubles 33% · published 4
3.89
Anita Marrero
usually #1 Doubles 40%, also #2 Doubles 40% · published 4
3.73
Jeremy Cheung
usually #1 Doubles 100% · published 4
3.61
Randy Chin
usually #2 Doubles 67%, also #3 Doubles 33% · published 4
3.53
Kathy Kenny
usually #3 Doubles 100% · published 3.5
3.52
Robert Liu
usually #1 Doubles 50%, also #2 Doubles 30% · published 3.5
3.41
Medilyn Barrett
usually #1 Doubles 67%, also #3 Doubles 33% · published 3.5
3.37
Yasmeen Mar
usually #1 Doubles 75%, also #3 Doubles 25% · published 3.5
3.31
Calvin Vu
usually #2 Doubles 100% · published 3.5
3.27
Angela Cummings
usually #2 Doubles 67%, also #3 Doubles 33% · published 3.5
Andrea Jensen
usually #1 Doubles 50%, also #2 Doubles 50% · published 3.5
Anthony Ramos
usually #3 Doubles 50%, also #2 Doubles 50% · published 3.5
Jeetu Thakur
usually #3 Doubles 50%, also #1 Doubles 50% · published 3.5
3.22
Suchita Thakur
usually #3 Doubles 100% · published 3.5
3.06
Rajesh Singh
usually #3 Doubles 100% · published 3.5
Stephane Perreault
usually #3 Doubles 67%, also #2 Doubles 33% · published 3
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.

Anita Marrero + Randy Chin7071% games+16.1% vs expected
Angela Cummings + Stephane Perreault27959% games+8.5% vs expected
Angela Cummings + Anthony Ramos7453% games+8.1% vs expected
Carmen Zlateff + Robert Liu11365% games+4.6% vs expected
Jeetu Thakur + Yasmeen Mar10260% games+3.1% vs expected
Kathy Kenny + Stephane Perreault4255% gamesnot enough data
Anita Marrero + Rajesh Singh2349% gamesnot enough data
Yasmeen Mar + Randy Chin224 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
Justin Low
123W–90L career · 5 lines in 2022
<1%76%24%
3.91
4
Carmen Zlateff
238W–113L career · 6 lines in 2022
<1%80%20%
3.89
4
Anita Marrero
188W–112L career · 5 lines in 2022
<1%80%20%
3.89
4
Jeremy Cheung
120W–56L career · 2 lines in 2022
4%94%2%
3.73
4
Randy Chin
111W–32L career · 3 lines in 2022
20%80%<1%
3.61
3.5
Kathy Kenny
118W–54L career · 2 lines in 2022
<1%40%60%
3.53
3.5
Robert Liu
112W–71L career · 10 lines in 2022
<1%42%58%
3.52
3.5
Medilyn Barrett
130W–95L career · 3 lines in 2022
<1%76%24%
3.41
3.5
Yasmeen Mar
158W–79L career · 4 lines in 2022
<1%83%17%
3.37
3.5
Calvin Vu
125W–59L career · 2 lines in 2022
1%92%7%
3.31
3.5
Angela Cummings
153W–86L career · 3 lines in 2022
2%94%4%
3.27
3.5
Andrea Jensen
22W–15L career · 4 lines in 2022
not enough data
3.5
Anthony Ramos
29W–39L career · 2 lines in 2022
not enough data
3.5
Jeetu Thakur
85W–57L career · 2 lines in 2022
not enough data
3.5
Suchita Thakur
86W–60L career · 2 lines in 2022
4%94%2%
3.22
3.5
Rajesh Singh
111W–72L career · 2 lines in 2022
32%68%<1%
3.06
3
Stephane Perreault
93W–67L career · 3 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.