Teams

BTA-Double Shots-English

2022 Mixed 40 & Over · 6.0

11 players · average NTRP 3.11 / NORTHWEST WASHINGTON

View scouting list →
Schedule7 played
2022-08-13vs WSC-Party at the Net-KrammerWon 10
W#3 DoublesFred Liang / Laurie Wilkins vs Ajoy Krishnamoorthy / Haley Neff-LaFord1-6, 7-5, 1-0
2022-08-07vs TCSP-SpainSplit 11
L#1 DoublesAndy Rivas / Cristi Rivas vs Leona Zamora / Kevin Gustafson1-6, 1-6
W#3 DoublesKaori Yamada / Fred Liang vs N/A6-0, 6-0
2022-08-06vs BETC-Mix it up-Shutt/Kean 6.0Lost 12
L#1 DoublesLaurie Wilkins / Andy Rivas vs Scott Leonardson / Erin Schiller3-6, 1-6
W#2 DoublesKaori Yamada / Fred Liang vs My-Hong Truong / Arthur Nakata3-6, 7-5, 1-0
L#3 DoublesMike Rumer / Rose Flowers vs Carrie Toppano / Mike Kean5-7, 2-6
2022-07-17vs PL-Spin Doctors-WoodLost 02
L#1 DoublesMike Rumer / Debara Ferleman vs Carol LaMoria / Patrick Lamoria2-6, 3-6
L#2 DoublesPerry Rodgers / Rose Flowers vs Amy Friedman / SERGIO VICTORIO2-6, 0-6
2022-07-10vs TCSP-HardieLost 03
L#1 DoublesLaurie Wilkins / John Chin vs Nicole Hardie / Ryan Hardie6-7, 0-6
L#2 DoublesCristi Rivas / Andy Rivas vs Kirsten Daniels / Nick DiMartino4-6, 2-6
L#3 DoublesKaori Yamada / Perry Rodgers vs Ross Bunker / Sheila Connolly1-6, 2-6
W#1 DoublesJoanne Yu / John Chin vs Christine Acker / Jeremy Knievel6-3, 1-6, 1-0
L#2 DoublesJanet Milam / Mike Rumer vs Holly Moraca / Brian Eskridge4-6, 7-6, 0-1
W#3 DoublesLaurie Wilkins / Andy Rivas vs N/A6-0, 6-0
2022-06-19vs ETC-Box2Lost 12
W#1 DoublesJoanne Yu / Mike Rumer vs Tina Allen / Ryan Kearny6-3, 2-6, 1-0
L#2 DoublesOzzy English / Fred Liang vs Everett Seven / Lana Dunsmore1-6, 3-6
L#3 DoublesRina Adams / Perry Rodgers vs Kwangho Song / Akiko Leeman5-7, 6-7
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 standings32 teams · 6.0
TeamWLInd. WInd. LSets lostGames lost
1TCSP-Hardie7018310136
2ETC-Shen6116513149
3PSC-Chen6116513153
4WSC-Party at the Net-Krammer6114716152
5BC-Doubles 2 Love-Sedghinasab6115616142
6ETC-Box15215613115
7CP-Yours! Allison5214716184
8BC-Hancock5213821194
9WSC-Buck Wild4314716168
10MIBC (OUTDOORS) All Mixed Up Summer 2-Knievel4315617169
11CP-Cloud Warriors-Viriththamulla 6.04313818160
12RTC-Rogal-Petriuc4314718159
13BETC-Mix it up-Shutt/Kean 6.043111022177
14MC-Mx 40-White4312922169
15MI-Nielson4312923187
16STC-Draves43101125185
17PL-Spin Doctors-Wood34101122183
18CAC/SL-Troubles R Us-Yang3491224199
19TCSP-Mixed Results-Steck34111024173
20TCSP-Kestle-Smith3491226186
21TCSP-NetSetters-James3481328210
22CAC/SL-Top Guns-Betancourt3471430224
23EDG-Wilson/Cho2581327217
24FC-Price2571428182
25AYTC-Wolson2561530202
26PSC-Onu2571431211
27BTA-Double Shots-English2571431202
28ETC-Box22571432220
29AYTC-Cosy's Deuce-Ma2561533214
30BTA-Mixed Madness-Tango1661531218
31BETC-Hit it To Me-Ruth1641736226
32TCSP-Spain0721938230

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 2.74 estimated across 9 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.

3.25
Kaori Yamada
usually #3 Doubles 67%, also #2 Doubles 33% · published 3.5
2.89
Joanne Yu
usually #1 Doubles 100% · published 3.5
2.80
Rina Adams
usually #3 Doubles 100% · published 3
2.73
Ozzy English
usually #2 Doubles 100% · published 3
2.72
Laurie Wilkins
usually #3 Doubles 50%, also #1 Doubles 50% · published 3
2.63
Andy Rivas
usually #1 Doubles 50%, also #3 Doubles 25% · published 3
2.56
Cristi Rivas
usually #2 Doubles 50%, also #1 Doubles 50% · published 3
2.53
Rose Flowers
usually #2 Doubles 50%, also #3 Doubles 50% · published 3
2.53
Debara Ferleman
usually #1 Doubles 100% · published 3
Janet Milam
usually #2 Doubles 100% · published
Mike Rumer
usually #1 Doubles 50%, also #2 Doubles 25% · 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.

Andy Rivas + Cristi Rivas41441% games−11.9% vs expected
Janet Milam + Mike Rumer0533% 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.

3.5
Kaori Yamada
74W–61L career · 3 lines in 2022
3%95%3%
3.25
3.5
Joanne Yu
56W–65L career · type A · 2 lines in 2022
80%20%<1%
2.89
3
Rina Adams
49W–58L career · 1 line in 2022
1%93%6%
2.80
3
Ozzy English
60W–67L career · 1 line in 2022
4%94%2%
2.73
3
Laurie Wilkins
66W–61L career · 4 lines in 2022
5%94%1%
2.72
3
Andy Rivas
26W–51L career · 4 lines in 2022
15%84%<1%
2.63
3
Cristi Rivas
33W–44L career · 2 lines in 2022
32%68%<1%
2.56
3
Rose Flowers
28W–33L career · type A · 2 lines in 2022
42%58%<1%
2.53
3
Debara Ferleman
31W–47L career · type A · 1 line in 2022
42%58%<1%
2.53
Janet Milam
4W–18L career · 1 line in 2022
not enough data
Mike Rumer
12W–18L career · 4 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.