Teams

NWW-AYTC-Purohit

2024 Mixed 18 & Over · 10.0

18 players · average NTRP 4.88 / NORTHWEST WASHINGTON

View scouting list →
Schedule10 played
2023-12-01vs CP-StewartLost 01
L#3 DoublesDora Tzeng / Andrew Huang vs Christina Bowden / Ryan Hoy6-7, 5-7
2023-11-17vs NWW-NTC-LaoWon 10
W#2 DoublesAlex Namba / Dora Tzeng vs Charles Thompson / Barbara Ann Andrews6-3, 6-1
2023-11-12Won 10
W#2 DoublesStefan Cutovic / Tami Snow vs Whitney Henderson / Nicholas Bass6-2, 6-2
2023-11-11vs CP-StewartWon 10
W#2 DoublesTami Snow / Alex Namba vs Kathryn Osborne / Michael Costello6-1, 6-2
2023-11-04vs RBW-ArmellinoSplit 11
L#1 DoublesDora Varsa / Steven Wu vs Elysa Kohrs / Daniel Armellino3-6, 6-4, 1-0
W#2 DoublesStefan Cutovic / Tami Snow vs Alex Woodward / Tamra Godfrey6-2, 6-2
2023-10-29vs BETC-BrownWon 10
W#1 DoublesAkash Prasad / Tami Snow vs Marilyn Baker / Richard Deitz6-2, 7-5
2023-10-28vs NTC-Mixed Results-LinkLost 01
L#3 DoublesStefan Cutovic / Dora Varsa vs Kelvin Yuchen / Lora Edens2-6, 4-6
2023-10-22vs RBW-ArmellinoWon 10
W#2 DoublesTami Snow / Alex Namba vs Jackson Cobb / Ai Isono6-1, 6-2
2023-10-14Won 10
W#1 DoublesVayum Arora / Tami Snow vs Kelvin Yuchen / Christine Yang6-0, 6-3
2023-09-16vs BETC-BrownWon 10
W#3 DoublesAndrew Huang / Dora Tzeng vs Baraka Brown / Rochelle Whelan4-6, 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 standings6 teams · 10.0
TeamWLInd. WInd. LSets lostGames lost
1NWW-AYTC-Purohit9122821218
2NWW-NTC-Lao8224618209
3BETC-Brown54131432243
4CP-Stewart55141636279
5RBW-Armellino1761838250
6NTC-Mixed Results-Link0952248313

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 4.71 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.

5.15
Stephanie Quan
usually #2 Doubles 40%, also #3 Doubles 40% · published 5
4.95
Steven Wu
usually #3 Doubles 40%, also #1 Doubles 40% · published
4.92
Damien David
usually #1 Doubles 50%, also #2 Doubles 38% · published 5
4.92
Tricia Zhang
usually #3 Doubles 67%, also #1 Doubles 17% · published
4.88
Dora Tzeng
usually #3 Doubles 67%, also #2 Doubles 33% · published 5
4.75
Mia Nguyen
usually #3 Doubles 43%, also #1 Doubles 29% · published 5
Tami Snow
usually #2 Doubles 67%, also #1 Doubles 33% · published 5
4.75
Shubhu Purohit
usually #1 Doubles 57%, also #3 Doubles 43% · published 5
4.75
Akash Prasad
usually #2 Doubles 63%, also #3 Doubles 25% · published 5
4.73
Stefan Cutovic
usually #3 Doubles 56%, also #2 Doubles 44% · published
4.59
Alex Namba
usually #1 Doubles 56%, also #2 Doubles 33% · published 5
4.58
Katie Lai
usually #1 Doubles 67%, also #2 Doubles 22% · published 4.5
4.35
Dora Varsa
usually #3 Doubles 50%, also #1 Doubles 50% · published 4.5
4.35
Madhuri Deo
usually #1 Doubles 44%, also #3 Doubles 33% · published 4.5
4.33
Andrew Huang
usually #3 Doubles 50%, also #1 Doubles 50% · published 5
Samantha Sweet
usually #3 Doubles 50%, also #2 Doubles 50% · published
Vayum Arora
usually #1 Doubles 50%, also #3 Doubles 25% · published
Vikram Balaji
usually #1 Doubles 80%, also #2 Doubles 20% · 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.

Mia Nguyen + Damien David6068% games+7.3% vs expected
Akash Prasad + Madhuri Deo404 matchesnot enough data
Vayum Arora + Katie Lai213 matchesnot enough data
Andrew Huang + Dora Tzeng213 matchesnot enough data
Akash Prasad + Tricia Zhang213 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
Stephanie Quan
51W–24L career · 5 lines in 2024
no projection at this level
5.15
Steven Wu
31W–13L career · 5 lines in 2024
no projection at this level
4.95
5
Damien David
146W–39L career · 8 lines in 2024
no projection at this level
4.92
Tricia Zhang
28W–8L career · 6 lines in 2024
no projection at this level
4.92
5
Dora Tzeng
28W–14L career · 3 lines in 2024
no projection at this level
4.88
5
Mia Nguyen
97W–41L career · 7 lines in 2024
no projection at this level
4.75
5
Tami Snow
39W–5L career · 6 lines in 2024
not enough data
5
Shubhu Purohit
62W–34L career · 7 lines in 2024
no projection at this level
4.75
5
Akash Prasad
46W–26L career · 8 lines in 2024
no projection at this level
4.75
Stefan Cutovic
22W–11L career · 9 lines in 2024
no projection at this level
4.73
5
Alex Namba
55W–25L career · 9 lines in 2024
no projection at this level
4.59
4.5
Katie Lai
76W–32L career · 9 lines in 2024
<1%28%72%
4.58
4.5
Dora Varsa
43W–26L career · 2 lines in 2024
1%85%15%
4.35
4.5
Madhuri Deo
53W–23L career · 9 lines in 2024
1%85%14%
4.35
5
Andrew Huang
83W–38L career · 8 lines in 2024
no projection at this level
4.33
Samantha Sweet
9W–7L career · 2 lines in 2024
not enough data
Vayum Arora
10W–8L career · 4 lines in 2024
not enough data
Vikram Balaji
5W–3L career · 5 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.