Teams

Wasabi Warriors

2024 Montgomery Mixed 18 & Over · Montgomery Mixed 18 & Over 9.0

13 players · average NTRP 4.67 / MARYLAND

View scouting list →
Schedule6 played
2024-03-25Won 10
W#3 DoublesErika Trost / Daniel Park vs N/A6-0, 6-0
2024-03-14vs Mischief ManagedLost 01
L#2 DoublesKaitlyn Heo / Shuang Chen vs Ekaterina Potapova / Renaldo Savady7-5, 4-6, 0-1
2024-02-26vs Double the FunWon 10
W#2 DoublesShuang Chen / Kaitlyn Heo vs Henry Cha / Janet Szamosszegi6-4, 6-1
2024-02-06vs Lee 9.0XWon 10
W#2 DoublesYiran Liu / Erika Trost vs Brooke Simonson / Leonard Tetteh4-6, 6-4, 1-0
2024-01-29vs Double the FunWon 10
W#2 DoublesKaitlyn Heo / Shuang Chen vs Richard Laukitis / Wendy Carey7-5, 6-3
2024-01-18vs Mischief ManagedLost 01
L#1 DoublesArash Hanif / Erika Trost vs Caitlin Lee / Mehrban Iranshad0-6, 3-6
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 Montgomery Mixed 18 & Over 9.0 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 4.32 estimated across 8 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.

4.68
Kaitlyn Heo
usually #2 Doubles 100% · published 5
4.55
Erika Trost
usually #1 Doubles 33%, also #2 Doubles 33% · published 5
4.40
Oliver Lee
published
4.29
Aisha Bhimla
published 4.5
Bavi Sadayappan
published 4.5
4.23
Kyle Truong
published
4.20
Arash Hanif
published 4.5
4.14
Anthony Nguyen
published 4.5
4.04
Shuang Chen
published
Irene Chen
published
Jennifer Nyman
published
Richard Wang
published
Yiran Liu
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.

Oliver Lee + Aisha Bhimla314 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.

5
Kaitlyn Heo
128W–63L career · 3 lines in 2024
no projection at this level
4.68
5
Erika Trost
383W–193L career · 3 lines in 2024
no projection at this level
4.55
Oliver Lee
31W–16L career · no lines in 2024
<1%75%25%
4.40
4.5
Aisha Bhimla
26W–19L career · no lines in 2024
2%91%7%
4.29
4.5
Bavi Sadayappan
2W–5L career · no lines in 2024
not enough data
Kyle Truong
5W–1L career · no lines in 2024
5%92%3%
4.23
4.5
Arash Hanif
3W–5L career · no lines in 2024
7%91%2%
4.20
4.5
Anthony Nguyen
9W–8L career · no lines in 2024
16%83%<1%
4.14
Shuang Chen
16W–3L career · no lines in 2024
<1%39%61%
4.04
Irene Chen
3W–0L career · no lines in 2024
not enough data
Jennifer Nyman
8W–7L career · no lines in 2024
not enough data
Richard Wang
6W–5L career · no lines in 2024
not enough data
Yiran Liu
3W–1L career · no lines in 2024
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.