Teams

EDG-Netsetters-Gliner

2022 Mixed 18 & Over · 7.0

16 players · average NTRP 3.57 / NORTHWEST WASHINGTON

View scouting list →
Schedule9 played
2021-11-28vs TCSP-Mini SlammersWon 21
L#1 DoublesNicole Smith / Matt Kempf vs Ross Nichols / Annie Chechitelli2-6, 7-6, 0-1
W#2 DoublesGreta Dedmon / Michael Cung vs Lincoln Sieler / Heather Lewis7-6, 6-1
W#3 DoublesMichelle Kutz / Loren Kutz vs James Garnett / Jill Borgida7-5, 6-2
2021-11-21vs CP-Wie home court-QiLost 03
L#1 DoublesSong Ko / Seonyoon Ko vs Girish Patwardhan / Tracy Qi2-6, 6-3, 0-1
L#2 DoublesJason Cook / Michelle Kutz vs Qian Liang / Ruoh-Shin Lumpkin6-6
L#3 DoublesDavid To / Gunjan Tykodi vs Lyle Li / Maggie Xu0-6, 2-6
2021-11-12vs AYTC-Power Couples-SongLost 12
L#1 DoublesGreta Dedmon / Michael Cung vs Bing Liu / Annie Luong2-6, 6-4, 0-1
W#2 DoublesMichelle Kutz / David To vs Heng Liu / Katherine Crews6-4, 6-2
L#3 DoublesTammy Alford / Paul Moosman vs Bryant Pham / Rachel Ouyang5-7, 0-6
2021-10-30vs NTC-Baby Got Backhand-BaerWon 30
W#1 DoublesGunjan Tykodi / Brad Lee vs Dina Apostolou / Christopher Gipson7-5, 7-6
W#2 DoublesSeonyoon Ko / Song Ko vs Alma Estioco / Martin Krimmel6-4, 6-1
W#3 DoublesAsa Watts / Bradford Gliner vs Lisa Perry / Alga Nothern6-4, 5-7, 1-0
2021-10-23vs ETC-Sonics-PhamWon 21
W#1 DoublesBrad Lee / Gunjan Tykodi vs Tina Zakahi / Koji Takezaki6-1, 6-1
W#2 DoublesAsa Watts / Bradford Gliner vs Justin Low / Sherry Liao6-3, 1-6, 1-0
L#3 DoublesMichelle Kutz / David To vs Tue Khuc / Jennifer Kalman3-6, 2-6
2021-10-16vs FC-KlopfensteinLost 12
L#1 DoublesMatt Kempf / Nicole Smith vs Stephane Perreault / Lauren Rutter2-6, 0-6
L#2 DoublesBrad Lee / Gunjan Tykodi vs Bala Pedapalli / Carrie Wies6-7, 7-6, 0-1
W#3 DoublesSeonyoon Ko / Song Ko vs Venkatesan Kuberan / Medilyn Barrett6-2, 6-3
2021-10-10vs MI-HenseyWon 30
W#1 DoublesNicole Smith / Michael Cung vs Beth Goodman / PETER GOODMAN1-6, 7-6, 1-0
W#2 DoublesAsa Watts / Bradford Gliner vs Erika Brown / Gregory Brown6-1, 6-1
W#3 DoublesGunjan Tykodi / Brad Lee vs Tawfik Gar-Aouy / Naomi Knight6-3, 6-1
2021-09-24vs PSC-Song/GeorgeLost 03
L#1 DoublesSong Ko / Seonyoon Ko vs Jonathan Ip / Abby Harrison1-6, 0-6
L#2 DoublesLoren Kutz / Michelle Kutz vs Ying-Fang Lai / Michael Joung5-7, 1-6
L#3 DoublesGreta Dedmon / Michael Cung vs Elena Ivanova / Jianjun Zhu5-7, 4-6
2021-09-18vs AYTC (OUTDOORS) SiegLost 12
L#1 DoublesAsa Watts / Bradford Gliner vs Aaron Haffner / Shawli Hathaway4-6, 2-6
L#2 DoublesPaul Moosman / Tammy Alford vs Eric Sieg / Kim Li Eng1-6, 0-6
W#3 DoublesGunjan Tykodi / Song Ko vs Lori Beehner / Chris Chiu4-6, 6-4, 1-0
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 7.0 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 3.30 estimated across 14 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.

3.73
Song Ko
usually #3 Doubles 40%, also #1 Doubles 40% · published 4
3.73
Brad Lee
usually #1 Doubles 71%, also #3 Doubles 14% · published 4
3.72
Greta Dedmon
usually #2 Doubles 43%, also #3 Doubles 29% · published 4
3.54
Tammy Alford
usually #2 Doubles 60%, also #3 Doubles 40% · published 4
3.45
Michelle Kutz
usually #2 Doubles 60%, also #3 Doubles 40% · published 3.5
3.44
Jason Cook
usually #2 Doubles 100% · published 3.5
3.32
David To
usually #3 Doubles 63%, also #2 Doubles 38% · published 3.5
3.31
Michael Cung
usually #1 Doubles 40%, also #2 Doubles 40% · published 3.5
3.18
Bradford Gliner
usually #1 Doubles 50%, also #2 Doubles 38% · published 3.5
3.18
Gunjan Tykodi
usually #1 Doubles 50%, also #3 Doubles 40% · published 3.5
3.17
Seonyoon Ko
usually #2 Doubles 44%, also #3 Doubles 33% · published 3.5
3.05
Asa Watts
usually #2 Doubles 50%, also #1 Doubles 25% · published 3.5
2.75
Matt Kempf
usually #1 Doubles 100% · published 3
2.64
Paul Moosman
usually #1 Doubles 71%, also #2 Doubles 14% · published 3
Loren Kutz
usually #2 Doubles 50%, also #3 Doubles 50% · published 0
Nicole Smith
usually #1 Doubles 63%, 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.

Gunjan Tykodi + Brad Lee11459% games+4.8% vs expected
Gunjan Tykodi + Jason Cook5749% games+3.6% vs expected
Greta Dedmon + Matt Kempf4354% games+2.5% vs expected
Bradford Gliner + Asa Watts5547% games+0.3% vs expected
Song Ko + Seonyoon Ko18857% games−2.4% vs expected
Greta Dedmon + Brad Lee2645% games−5.2% vs expected
Michelle Kutz + Loren Kutz8453% games−5.3% vs expected
Nicole Smith + Matt Kempf3449% 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.

4
Song Ko
90W–92L career · 5 lines in 2022
4%94%2%
3.73
4
Brad Lee
89W–85L career · 7 lines in 2022
4%94%2%
3.73
4
Greta Dedmon
77W–79L career · 7 lines in 2022
5%94%1%
3.72
4
Tammy Alford
55W–82L career · 5 lines in 2022
39%61%<1%
3.54
3.5
Michelle Kutz
100W–91L career · type A · 5 lines in 2022
<1%65%35%
3.45
3.5
Jason Cook
123W–71L career · 2 lines in 2022
<1%67%33%
3.44
3.5
David To
94W–78L career · 8 lines in 2022
1%91%8%
3.32
3.5
Michael Cung
78W–49L career · 10 lines in 2022
1%92%7%
3.31
3.5
Bradford Gliner
95W–93L career · 8 lines in 2022
8%91%1%
3.18
3.5
Gunjan Tykodi
96W–109L career · 10 lines in 2022
8%91%1%
3.18
3.5
Seonyoon Ko
86W–57L career · 9 lines in 2022
10%90%1%
3.17
3.5
Asa Watts
52W–53L career · 4 lines in 2022
36%64%<1%
3.05
3
Matt Kempf
90W–59L career · 2 lines in 2022
3%95%3%
2.75
3
Paul Moosman
96W–105L career · 7 lines in 2022
15%85%<1%
2.64
0
Loren Kutz
30W–20L career · 2 lines in 2022
not enough data
Nicole Smith
30W–28L career · 8 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.