Teams

EDG-Kilambi

2021 Mixed 18 & Over · 8.0

10 players · average NTRP 3.94 / NORTHWEST WASHINGTON

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Schedule6 played
L#1 DoublesNancy Chan / Kirk Skidmore vs Van Duong / Nicholas McMurray2-6, 3-6
L#2 DoublesAngie Moawad / Barry Strand vs Lydia Sun / Chris Higashi4-6, 1-6
L#3 DoublesChristina Peterman / Brent Peterman vs Samantha Gohh / Cheng Guo0-6, 4-6
W#1 DoublesMarcie Glenn / Arwin Subramaniam vs Britt Allen / Kevin Jacobson2-6, 6-4, 1-0
L#2 DoublesBrian Dickson / Angie Moawad vs Lexie Miller / Stephen Han5-7, 0-6
L#3 DoublesMarie Michigami / Barry Strand vs Alicia Miller / Thomas Lachenmaier0-6, 4-6
2020-10-17vs WSC-Pizza Coopers-HummerLost 12
L#1 DoublesChristina Peterman / Dwayne Wilson vs Betty Hummer / Tom Fox5-7, 3-6
W#2 DoublesKirk Skidmore / Nancy Chan vs Kim Foote / YAN TENG1-6, 6-3, 1-0
L#3 DoublesBrent Peterman / Mara Ferrari vs Patricia Houghton / John Monahan3-6, 6-4, 1-0
2020-10-11vs AYTC-JuhnLost 12
W#1 DoublesArwin Subramaniam / Marcie Glenn vs David Juhn / Theresa Chau6-3, 7-5
L#2 DoublesRajive Kilambi / Nancy Chan vs Stephen Lu / Angela Byrum3-6, 1-6
L#3 DoublesBarry Strand / Mara Ferrari vs Lakhmeet Singh Ghai / Erica Bramlet4-6, 6-4, 0-1
2020-10-03vs TCSP-RogersLost 12
W#1 DoublesChristina Peterman / Rajive Kilambi vs Karen Schmid / Michael Shurley3-6, 6-1, 1-0
L#2 DoublesNancy Chan / Dwayne Wilson vs Christie Cram / Bryant Pham6-3, 1-6, 0-1
L#3 DoublesMara Ferrari / Brent Peterman vs Christina Jones / James Garnett6-4, 4-6, 0-1
2020-09-20vs ETC-Slice-Fun-QiLost 12
W#1 DoublesMarcie Glenn / Arwin Subramaniam vs Gary Zhao / Sandy Myerchin7-6, 6-3
L#2 DoublesRajive Kilambi / Marie Michigami vs Chunyan Xie / Jianjun Zhu1-6, 3-6
L#3 DoublesBrent Peterman / Angie Moawad vs Richie Sugimoto / Tracy Qi5-7, 1-6
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 standings for 8.0 have not been collected yet. Where we have them we show every team in the flight ranked, with this team highlighted. The crawler is still filling in older seasons and flights.

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 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.

4.17
Marie Michigami
usually #2 Doubles 50%, also #3 Doubles 50% · published 4.5
4.08
Angie Moawad
usually #2 Doubles 75%, also #3 Doubles 25% · published 4.5
3.91
Christina Peterman
usually #1 Doubles 67%, also #3 Doubles 33% · published 4
3.89
Nancy Chan
usually #2 Doubles 67%, also #3 Doubles 17% · published 4
3.88
Mara Ferrari
usually #3 Doubles 100% · published 4
3.64
Barry Strand
usually #3 Doubles 67%, also #2 Doubles 33% · published 4
3.46
Rajive Kilambi
usually #2 Doubles 67%, also #1 Doubles 33% · published 3.5
3.28
Brent Peterman
usually #3 Doubles 100% · published 3.5
3.21
Brian Dickson
usually #2 Doubles 100% · published 3.5
Marcie Glenn
usually #1 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.

Christina Peterman + Brent Peterman142051% games+6.5% vs expected
Angie Moawad + Barry Strand134 matchesnot enough data
Rajive Kilambi + Nancy Chan134 matchesnot enough data
Angie Moawad + Brian Dickson033 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
Marie Michigami
146W–102L career · 2 lines in 2021
10%90%1%
4.17
4.5
Angie Moawad
51W–66L career · 4 lines in 2021
26%74%<1%
4.08
4
Christina Peterman
138W–91L career · 3 lines in 2021
<1%76%23%
3.91
4
Nancy Chan
189W–135L career · 6 lines in 2021
<1%80%20%
3.89
4
Mara Ferrari
312W–180L career · 3 lines in 2021
<1%82%17%
3.88
4
Barry Strand
101W–79L career · 3 lines in 2021
13%86%<1%
3.64
3.5
Rajive Kilambi
49W–88L career · 3 lines in 2021
<1%63%37%
3.46
3.5
Brent Peterman
73W–74L career · 4 lines in 2021
2%94%5%
3.28
3.5
Brian Dickson
49W–77L career · 1 line in 2021
5%93%1%
3.21
Marcie Glenn
53W–17L career · 3 lines in 2021
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.