Teams

AYTC-Ueno

2022 Mixed 18 & Over · 10.0

19 players · average NTRP 4.70 / NORTHWEST WASHINGTON

View scouting list →
Schedule8 played
2021-12-05vs BETC-BrownLost 01
L#2 DoublesOlivia Headford / Alexander Noyes vs Melisa Biscayno / Ken Bang3-6, 1-6
2021-12-04Split 11
L#1 DoublesOlivia Headford / Daniel Armellino vs Rochelle Whelan / Joel Bodine2-6, 6-7
W#3 DoublesShubhu Purohit / Sophia Kissin vs Melisa Biscayno / Tuan Nguyen6-7, 7-6, 1-0
2021-11-19vs RTC-GodfreySplit 11
L#1 DoublesN Brooks / Olivia Headford vs Tami Snow / Martin Uylangco2-6, 4-6
W#3 DoublesSophia Kissin / James Crosetto vs Sarah Sweet / Naveen Yarlagadda6-7, 7-6, 1-0
2021-11-07Won 10
W#2 DoublesN Brooks / Olivia Headford vs Frank Chavez / Lora Edens7-6, 3-6, 1-0
2021-10-31Won 10
W#1 DoublesJames Crosetto / Olivia Headford vs Ray Hu / Lora Edens6-2, 4-6, 1-0
2021-10-16Lost 01
L#1 DoublesN Brooks / Olivia Headford vs Dennis Nguyen / Pernilla Putnik6-2, 5-7, 0-1
2021-09-26vs RTC-GodfreyLost 02
L#2 DoublesJames Crosetto / Sophia Kissin vs Brianna Kemp / Naveen Yarlagadda7-6, 4-6, 1-0
L#3 DoublesAlexander Noyes / Cristina Borsan vs Lindy Irving / Julian Seneviratne2-6, 3-6
2021-09-18Lost 01
L#3 DoublesN Brooks / Sophia Kissin vs Stephanie Quan / Michael Costello7-6, 6-7, 0-1
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 · 10.0
TeamWLInd. WInd. LSets lostGames lost
1AYTC-Ueno44111331254
2BETC-Brown3591531238
3RTC-Godfrey35101434253
4NTC-Mixed Numbers-Link 10.03591534257

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 4.48 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.

5.30
Carmen Blanco
published 5.5
4.75
Shubhu Purohit
usually #1 Doubles 40%, also #3 Doubles 40% · published 5
Donny Baugh
usually #1 Doubles 60%, also #3 Doubles 40% · published 5
Olivia Headford
usually #1 Doubles 67%, also #2 Doubles 33% · published 5
4.72
Daniel Armellino
usually #2 Doubles 50%, also #1 Doubles 31% · published 5
4.44
Susan Shinoda
usually #2 Doubles 69%, also #3 Doubles 15% · published 4.5
4.43
Alexander Calpagiu
usually #3 Doubles 39%, also #2 Doubles 39% · published 4.5
4.37
Connie Cai
usually #3 Doubles 57%, also #1 Doubles 29% · published 4.5
4.34
Cristina Borsan
usually #3 Doubles 50%, also #2 Doubles 33% · published 4.5
4.34
Alexander Noyes
usually #3 Doubles 50%, also #2 Doubles 50% · published 4.5
4.32
John Gallelli
usually #2 Doubles 33%, also #3 Doubles 33% · published 4.5
4.31
Wataru Ueno
usually #3 Doubles 100% · published 4.5
4.29
Subaru Ueno
published 4.5
Amy Tseng
usually #1 Doubles 40%, also #3 Doubles 40% · published 4.5
4.19
James Crosetto
usually #3 Doubles 43%, also #2 Doubles 29% · published 4.5
Elise Kang
usually #1 Doubles 50%, also #2 Doubles 50% · published
N Brooks
usually #1 Doubles 50%, also #3 Doubles 25% · published
Nora Tan
published
Sophia Kissin
usually #3 Doubles 75%, 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.

Cristina Borsan + Connie Cai4263% games+12.9% vs expected
John Gallelli + Connie Cai10256% games+6.1% vs expected
Daniel Armellino + Wataru Ueno404 matchesnot enough data
Daniel Armellino + Donny Baugh314 matchesnot enough data
Cristina Borsan + Wataru Ueno224 matchesnot enough data
Amy Tseng + Subaru Ueno213 matchesnot enough data
Amy Tseng + James Crosetto123 matchesnot enough data
Olivia Headford + N Brooks123 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.

5.5
Carmen Blanco
6W–1L career · no lines in 2022
1%93%6%
5.30
5
Shubhu Purohit
62W–34L career · 5 lines in 2022
3%95%3%
4.75
5
Donny Baugh
83W–42L career · 5 lines in 2022
not enough data
5
Olivia Headford
21W–25L career · 6 lines in 2022
not enough data
5
Daniel Armellino
137W–89L career · 16 lines in 2022
4%94%2%
4.72
4.5
Susan Shinoda
154W–128L career · 13 lines in 2022
<1%68%32%
4.44
4.5
Alexander Calpagiu
141W–100L career · 13 lines in 2022
<1%69%31%
4.43
4.5
Connie Cai
68W–42L career · 7 lines in 2022
<1%85%15%
4.37
4.5
Cristina Borsan
84W–77L career · 6 lines in 2022
<1%88%12%
4.34
4.5
Alexander Noyes
66W–34L career · 2 lines in 2022
<1%88%12%
4.34
4.5
John Gallelli
70W–65L career · 9 lines in 2022
1%91%8%
4.32
4.5
Wataru Ueno
89W–51L career · 4 lines in 2022
1%92%7%
4.31
4.5
Subaru Ueno
41W–25L career · no lines in 2022
1%94%5%
4.29
4.5
Amy Tseng
17W–23L career · type S · 5 lines in 2022
not enough data
4.5
James Crosetto
53W–48L career · 7 lines in 2022
8%92%1%
4.19
Elise Kang
11W–3L career · 2 lines in 2022
not enough data
N Brooks
8W–16L career · 8 lines in 2022
not enough data
Nora Tan
0W–1L career · no lines in 2022
not enough data
Sophia Kissin
6W–9L career · 4 lines in 2022
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.