Teams

NWW-NTC-Calpagiu

2023 Mixed 18 & Over · 9.0

16 players · average NTRP 4.50 / NORTHWEST WASHINGTON

View scouting list →
Schedule9 played
2022-11-19vs EDG-Namba 9.0Won 21
L#1 DoublesNicole Ung / Anuj Vimawala vs J Michael Diaz / Tamra Godfrey5-7, 4-6
W#2 DoublesErik Tseng / Tricia Zhang vs Quinn Osborn / Christopher Truong7-6, 6-3
W#3 DoublesReanne Lee / Colby Tong vs Ana Rios / Corey Tam6-4, 6-4
2022-11-18vs HBSQ-McDowellWon 21
L#1 DoublesAlexander Calpagiu / Madhuri Deo vs Cameron McDowell / Lauren Rutter3-6, 6-4, 0-1
W#2 DoublesMelanie Uyeda / Adriano Saitta vs Erin Huffman / Jack Bong6-0, 6-3
W#3 DoublesNicholas Verghese / Tricia Zhang vs Hunter Nelson / Megan Huffman6-2, 6-3
2022-11-13vs NTC-Mixed up-LinkWon 30
W#1 DoublesDora Varsa / Akash Prasad vs Kailyn Skjonsby / Nelson Asaba6-3, 6-1
W#2 DoublesMandi Chen / Anuj Vimawala vs Yung Hu / Anne Corsano5-7, 7-6, 1-0
W#3 DoublesShubhu Purohit / Nicole Ung vs Melissa Ling / Matthew Look6-3, 6-3
2022-11-12vs BC-Chen 9.0Won 30
W#1 DoublesMelanie Uyeda / Darren Ma vs Lisa Debiec / Alex Chen7-5, 6-3
W#2 DoublesErik Tseng / Tricia Zhang vs Kim Evans / Sam Varon7-5, 5-7, 1-0
W#3 DoublesMandi Chen / Anuj Vimawala vs Mario Lopez / Sun Chaney6-3, 6-1
2022-10-22vs AYTC-ShapiraWon 21
W#1 DoublesMandi Chen / Shubhu Purohit vs Jonny Tat / Sue Rentschler6-4, 6-1
L#2 DoublesKatie Lai / Nicholas Verghese vs Alison Shapira / Alex Chiem4-6, 6-7
W#3 DoublesMelanie Uyeda / Darren Ma vs Stefan Bach / Matta Nguyen7-6, 6-1
2022-10-21vs AYTC-HoodWon 30
W#1 DoublesMadhuri Deo / Akash Prasad vs Khaliun Enkhjargal / Avery Howard6-3, 6-4
W#2 DoublesReanne Lee / Alexander Calpagiu vs Cristina Borsan / Winston Ngo6-3, 6-4
W#3 DoublesKatie Lai / Darren Ma vs Alexandra van Hoy / Alexander Noyes6-4, 6-4
2022-10-07vs PSC-Tsai-TaisWon 21
W#1 DoublesMadhuri Deo / Colby Tong vs Liza Skorupski / Dinesh Narayanan6-4, 7-5
L#2 DoublesKatie Lai / Nicholas Verghese vs Jeff Servoss / Kaila Yun6-3, 2-6, 1-0
W#3 DoublesReanne Lee / Darren Ma vs Jonathan Ip / Brianna Kemp6-2, 4-6, 1-0
2022-10-02vs BETC-BiscaynoWon 30
W#1 DoublesAlexander Calpagiu / Melanie Uyeda vs Anhtu Hoang / Angela Byrum6-1, 6-4
W#2 DoublesMadhuri Deo / Akash Prasad vs Martin Goldman-Kirst / Hanh Hoang6-1, 6-3
W#3 DoublesShubhu Purohit / Nicole Ung vs Michelle Nguyen / Thong Nguyen6-1, 6-1
2022-09-18vs MIBC-Machete-RichardsWon 30
W#1 DoublesMadhuri Deo / Colby Tong vs N Brooks / Nancy Knoll6-1, 6-4
W#2 DoublesKatie Lai / Erik Tseng vs Jocelino Jorge / Leigh Anne Dunkin7-6, 7-6
W#3 DoublesDora Varsa / Adriano Saitta vs Jennifer McIntosh / Andrew Dickson7-6, 6-7, 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 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 4.36 estimated across 12 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.

4.92
Tricia Zhang
usually #2 Doubles 67%, also #3 Doubles 33% · published
Anuj Vimawala
usually #3 Doubles 33%, also #2 Doubles 33% · published 5
4.75
Shubhu Purohit
usually #1 Doubles 43%, also #2 Doubles 29% · published 5
4.75
Akash Prasad
usually #1 Doubles 67%, also #2 Doubles 33% · published 5
4.67
Reanne Lee
usually #3 Doubles 50%, also #2 Doubles 38% · published 5
4.58
Katie Lai
usually #2 Doubles 50%, also #3 Doubles 38% · published 4.5
4.43
Alexander Calpagiu
usually #1 Doubles 56%, also #2 Doubles 33% · published 4.5
4.38
Colby Tong
usually #1 Doubles 67%, also #3 Doubles 33% · 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 63%, also #2 Doubles 38% · published 4.5
Mandi Chen
usually #1 Doubles 33%, also #3 Doubles 33% · published 4.5
3.95
Erik Tseng
usually #2 Doubles 100% · published 4
3.72
Nicholas Verghese
usually #2 Doubles 50%, also #1 Doubles 25% · published 4
3.40
Nicole Ung
usually #2 Doubles 33%, also #3 Doubles 33% · published 3.5
Adriano Saitta
usually #3 Doubles 50%, also #2 Doubles 50% · published
Melanie Uyeda
usually #1 Doubles 50%, 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.

Nicole Ung + Nicholas Verghese3543% gamesnot enough data
Reanne Lee + Nicholas Verghese6070% gamesnot enough data
Shubhu Purohit + Nicole Ung4161% gamesnot enough data
Alexander Calpagiu + Madhuri Deo2353% gamesnot enough data
Colby Tong + Melanie Uyeda224 matchesnot enough data
Akash Prasad + Madhuri Deo404 matchesnot enough data
Reanne Lee + Alexander Calpagiu314 matchesnot enough data
Erik Tseng + Tricia Zhang224 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.

Tricia Zhang
28W–8L career · 3 lines in 2023
no projection at this level
4.92
5
Anuj Vimawala
8W–8L career · 3 lines in 2023
not enough data
5
Shubhu Purohit
62W–34L career · 7 lines in 2023
no projection at this level
4.75
5
Akash Prasad
46W–26L career · 3 lines in 2023
no projection at this level
4.75
5
Reanne Lee
88W–30L career · 8 lines in 2023
no projection at this level
4.67
4.5
Katie Lai
76W–32L career · 8 lines in 2023
<1%28%72%
4.58
4.5
Alexander Calpagiu
141W–100L career · 9 lines in 2023
<1%69%31%
4.43
4.5
Colby Tong
39W–18L career · 3 lines in 2023
<1%80%20%
4.38
4.5
Dora Varsa
43W–26L career · 2 lines in 2023
1%85%15%
4.35
4.5
Madhuri Deo
53W–23L career · 8 lines in 2023
1%85%14%
4.35
4.5
Mandi Chen
43W–32L career · 3 lines in 2023
not enough data
4
Erik Tseng
54W–25L career · 3 lines in 2023
<1%64%36%
3.95
4
Nicholas Verghese
75W–57L career · 8 lines in 2023
5%92%2%
3.72
3.5
Nicole Ung
31W–47L career · 9 lines in 2023
<1%75%25%
3.40
Adriano Saitta
4W–4L career · 2 lines in 2023
not enough data
Melanie Uyeda
7W–5L career · 4 lines in 2023
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.