Teams

Dryers-Sei

Coed Social League · 5.0 Seattle

10 players · average NTRP 2.50 / NORTHWEST WASHINGTON

View scouting list →
Schedule5 played
2025-08-04vs Always Serving-PenaLost 02
L#1 Female DoublesCasey Babcock / Momo Rutkin vs Roseanna Cen / Alaina Hasegawa2-6
L#1 Female SinglesMomo Rutkin vs Alaina Hasegawa2-6
2025-07-28Lost 01
L#1 Female SinglesCasey Babcock vs Yang Xu0-6
2025-07-21Lost 02
L#1 Female DoublesCasey Babcock / Jannifer Hong vs Emily Beylerian / Elizabeth Wisdom3-6
L#1 Female SinglesFlora Taagen vs Sarah Titcomb1-6
2025-07-14vs Netflicks-HeoLost 02
L#1 Female DoublesCasey Babcock / Jannifer Hong vs Lizzy Feng / Flora Zhang1-6
L#2 Mixed DoublesAndrew Armaneous / Flora Taagen vs Sheng Xiong / Flora Zhang1-3
2025-07-07vs Racket Scientists-UngureanasuLost 03
L#1 Female DoublesCasey Babcock / Yang Jiao vs Roxana Rautu / Ioana Ungureanasu3-6
L#1 Female SinglesMomo Rutkin vs Roxana Rautu5-6
L#2 Mixed DoublesJennifer Sei / Russell Layng vs Ioana Ungureanasu / Nicholas Yee3-6
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 standings9 teams · 5.0 Seattle
TeamWLInd. WInd. LSets lostGames lost
1Always Serving-Pena06279995
2Racket Scientists-Ungureanasu06241212131
3Netflicks-Heo06191717145
4Flodin06171919145
5Mo06171919140
6Team Corgi-Brandt06142222147
7Titcomb06132323160
8Fernandez0682828189
9Dryers-Sei0663030193

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 2.31 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.

2.74
Richa Gupta
published
2.62
Iman Baghai
published
2.43
Jennifer Sei
usually #2 Mixed Doubles 100% · published 2.5
2.38
Flora Taagen
usually #2 Mixed Doubles 50%, also #1 Female Singles 50% · published 2.5
2.13
Yang Jiao
published
2.11
Casey Babcock
usually #1 Female Doubles 80%, also #1 Female Singles 20% · published 2.5
2.08
Andrew Armaneous
published 2.5
2.02
Momo Rutkin
usually #1 Female Singles 100% · published 2.5
James Moss
published
Russell Layng
published
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.

Richa Gupta
10W–5L career · no lines in 2025
4%92%3%
2.74
Iman Baghai
6W–11L career · no lines in 2025
0%20%80%
2.62
2.5
Jennifer Sei
21W–21L career · 1 line in 2025
0%68%32%
2.43
2.5
Flora Taagen
12W–11L career · 2 lines in 2025
0%81%19%
2.38
Yang Jiao
1W–4L career · no lines in 2025
0%>99%<1%
2.13
2.5
Casey Babcock
3W–12L career · type S · 5 lines in 2025
0%>99%<1%
2.11
2.5
Andrew Armaneous
6W–21L career · no lines in 2025
0%>99%<1%
2.08
2.5
Momo Rutkin
9W–21L career · 2 lines in 2025
0%>99%<1%
2.02
James Moss
2W–2L career · no lines in 2025
not enough data
Russell Layng
1W–1L career · no lines in 2025
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.