Teams

Suns Out Serves Out-Nguy

2024 Coed Social League · 7.0 Bellevue

4 players · average NTRP 3.67 / NORTHWEST WASHINGTON

View scouting list →
Schedule6 played
2024-08-14vs I Want Your Sets-EngWon 30
W#1 Female SinglesMina Park vs PeiPei Sung6-4
W#1 Male DoublesBeagan Nguy / Kevin Kim vs Eric Sieg / Matt Youngquist6-3
W#1 Male SinglesKevin Kim vs Eric Sieg6-4
2024-08-07vs Happiness Land Bakery-FuWon 21
W#1 Female DoublesSabrina Barber / Mina Park vs Mei Maruo / Hanqi Ni6-2
W#1 Male DoublesBeagan Nguy / Kevin Kim vs Frankie Fong / Andrew Jeong6-5
L#1 Male SinglesBeagan Nguy vs Andrew Jeong2-6
2024-07-31vs Hit and Run-ThakkerSplit 11
W#1 Male DoublesBeagan Nguy / Kevin Kim vs Jeet Thakker / Deepak Lalwani6-3
L#1 Male SinglesKevin Kim vs Jeet Thakker5-6
2024-07-24vs I Want Your Sets-EngLost 02
L#1 Male DoublesBeagan Nguy / Kevin Kim vs Eric Sieg / ANDREW SZALAY5-6
L#1 Male SinglesBeagan Nguy vs Eric Sieg1-6
2024-07-17vs Happiness Land Bakery-FuWon 30
W#1 Female SinglesMina Park vs Yuyu Huang - (DQ)6-0
W#1 Male DoublesBeagan Nguy / Kevin Kim vs Frankie Fong / Zan Fu6-1
W#1 Male SinglesBeagan Nguy vs Andrew Jeong6-5
2024-07-10vs Hit and Run-ThakkerLost 12
W#1 Female DoublesMina Park / Sabrina Barber vs Lisa C / Lisa Brouelette6-2
L#1 Male DoublesKevin Kim / Beagan Nguy vs Deepak Lalwani / Arshdeep Singh4-6
L#1 Male SinglesKevin Kim vs Arshdeep Singh3-6
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 standings4 teams · 7.0 Bellevue
TeamWLInd. WInd. LSets lostGames lost
1Suns Out Serves Out-Nguy062888124
2Hit and Run-Thakker06181818152
3I Want Your Sets-Eng06171919163
4Happiness Land Bakery-Fu0692727188

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 3.42 estimated across 4 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.

3.63
Mina Park
usually #1 Female Doubles 63%, also #1 Female Singles 38% · published 4
3.44
Grace Zheng
published
3.37
Kevin Kim
usually #1 Male Singles 50%, also #1 Male Doubles 50% · published 3.5
3.26
Beagan Nguy
usually #1 Male Doubles 50%, also #1 Male Singles 50% · published 3.5
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.

Mina Park + Beagan Nguy4352% games+16.9% vs expected
Grace Zheng + Kevin Kim4549% games+11.3% vs expected
Beagan Nguy + Kevin Kim9556% games+0.8% vs expected
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
Mina Park
70W–48L career · 8 lines in 2024
17%82%<1%
3.63
Grace Zheng
36W–34L career · no lines in 2024
<1%68%32%
3.44
3.5
Kevin Kim
45W–46L career · 6 lines in 2024
<1%82%18%
3.37
3.5
Beagan Nguy
32W–59L career · 6 lines in 2024
3%93%4%
3.26

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.