Teams

Lululamon

2026 Mixed 18 and Over League · 9.0

12 players · average NTRP 4.17 / MAUI

View scouting list →
Schedule6 played
2026-04-15vs Court JunkiesWon 20
W#1 DoublesSteven Nguyen / Rachel Karlin vs Catherine Hall / Chan Ly6-1, 7-6
W#2 DoublesBerylin Lau / Austin Wines vs Justin Locke / Deanna DiBiase6-4, 6-4
2026-04-04vs Court JunkiesWon 20
W#1 DoublesChad Shibuya / Malorie Murakami vs Chan Ly / Catherine Hall6-2, 6-3
W#2 DoublesBerylin Lau / Nate Geigle vs Justin Locke / Deanna DiBiase6-0, 6-3
2026-03-27vs Court JunkiesWon 30
W#1 DoublesAustin Wines / Hana Yoshikawa vs Justin Locke / Mona Decrinis6-1, 4-6, 1-0
W#2 DoublesRachel Karlin / Patrick da Silva vs Tetsu Anan / Emily Collins6-2, 7-5
W#3 DoublesMalorie Murakami / Chad Shibuya vs N/A6-0, 6-0
2026-03-13vs Court JunkiesWon 30
W#1 DoublesPatrick da Silva / Hana Yoshikawa vs Jerry Delacruz / Mona Decrinis6-3, 6-2
W#2 DoublesAndrew Yoon / Rachel Karlin vs Petra Dupont / Tetsu Anan6-3, 6-1
W#3 DoublesJennifer Wood / Nate Geigle vs Justin Locke / Deanna DiBiase6-2, 6-3
2026-03-13vs Court JunkiesWon 30
W#1 DoublesAustin Wines / Hana Yoshikawa vs Charlie Crandall / Caroline Gammie6-3, 6-2
W#2 DoublesSteven Nguyen / Rachel Karlin vs Deanna DiBiase / Tetsu Anan6-3, 6-4
W#3 DoublesJennifer Wood / Andrew Yoon vs Justin Locke / Karen Sullivan6-3, 6-0
2026-03-04vs Court JunkiesWon 30
W#1 DoublesHana Yoshikawa / Steven Nguyen vs Catherine Hall / Chan Ly7-5, 6-3
W#2 DoublesAndrew Yoon / Rachel Karlin vs Emily Collins / Jerry Delacruz6-2, 3-6, 1-0
W#3 DoublesJennifer Wood / Nate Geigle vs Justin Locke / Caroline Gammie6-1, 6-0
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 standings2 teams · 9.0
TeamWLInd. WInd. LSets lostGames lost
1Lululamon60180283
2Court Junkies0601836216

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 4.08 estimated across 7 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.

4.50
Chad Shibuya
usually #3 Doubles 46%, also #1 Doubles 36% · published 4.5
4.25
Berylin Lau
usually #2 Doubles 40%, also #3 Doubles 30% · published 4.5
4.20
Jennifer Wood
usually #3 Doubles 67%, also #1 Doubles 33% · published
3.96
Sae Hyun Song
usually #1 Doubles 41%, also #3 Doubles 29% · published 4
3.96
Patrick da Silva
usually #1 Doubles 50%, also #2 Doubles 50% · published 4
3.92
Austin Wines
usually #1 Doubles 57%, also #2 Doubles 43% · published 4
3.80
Andrew Yoon
usually #2 Doubles 43%, also #3 Doubles 43% · published 4
Hana Yoshikawa
usually #1 Doubles 100% · published
Malorie Murakami
usually #1 Doubles 75%, also #3 Doubles 25% · published
Nate Geigle
usually #3 Doubles 67%, also #2 Doubles 33% · published
Rachel Karlin
usually #2 Doubles 71%, also #3 Doubles 14% · published
Steven Nguyen
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.

Rachel Karlin + Steven Nguyen4155% gamesnot enough data
Rachel Karlin + Andrew Yoon404 matchesnot enough data
Malorie Murakami + Andrew Yoon224 matchesnot enough data
Sae Hyun Song + Berylin Lau224 matchesnot enough data
Hana Yoshikawa + Andrew Yoon303 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
Chad Shibuya
187W–35L career · 11 lines in 2026
<1%50%50%
4.50
4.5
Berylin Lau
29W–15L career · 10 lines in 2026
3%93%4%
4.25
Jennifer Wood
13W–1L career · 6 lines in 2026
<1%8%92%
4.20
4
Sae Hyun Song
74W–67L career · type A · 17 lines in 2026
<1%60%40%
3.96
4
Patrick da Silva
43W–13L career · 4 lines in 2026
<1%61%38%
3.96
4
Austin Wines
16W–9L career · type S · 7 lines in 2026
<1%71%28%
3.92
4
Andrew Yoon
56W–22L career · 7 lines in 2026
2%91%7%
3.80
Hana Yoshikawa
26W–4L career · 4 lines in 2026
not enough data
Malorie Murakami
101W–58L career · 4 lines in 2026
not enough data
Nate Geigle
9W–0L career · 3 lines in 2026
not enough data
Rachel Karlin
53W–21L career · 7 lines in 2026
not enough data
Steven Nguyen
32W–10L career · no lines in 2026
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.