Teams

Two Scoops

2022 One Doubles · 4.0 Women

4 players · average NTRP 3.75 / NORTHWEST WASHINGTON

View scouting list →
Schedule5 played
2022-08-05vs Zin Hn YanLost 01
L#1 DoublesPeiPei Sung / Alicia Sato vs Hanh Hoang / Kristy Braunston0-6, 4-6
2022-08-02vs PGLost 01
L#1 DoublesMiri Rogers / Sayuri Koyamatsu vs Emily Peyser / Carol Gregory1-6, 6-4, 0-1
2022-07-31vs Czeisler-ZlateffWon 10
W#1 DoublesMiri Rogers / Alicia Sato vs Jennifer Czeisler / Carmen Zlateff6-2, 1-6, 1-0
2022-07-29vs Nothing But NetLost 01
L#1 DoublesPeiPei Sung / Sayuri Koyamatsu vs Vicky Pan / Karen Pan2-6, 5-7
2022-06-19vs Go!Won 10
W#1 DoublesPeiPei Sung / Alicia Sato vs Susan Thornberg / Lauren Milan7-5, 6-2
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 standings44 teams · 4.0 Women
TeamWLInd. WInd. LSets lostGames lost
1Chung/Min6060024
2Penn Pals (Flexible)6060128
3Koves/Leung6060246
4Zin Hn Yan5050025
5Dori 1 & 2 - Reboot!5050140
6Wickham/Rodden5151334
7Lang/Fried5151449
8MI Rumble5151545
9Tennis Peeps4141337
10Thompson/Carow (Flexible)4242439
11Topachicas (Flexible)4242438
12DOUBLE ESPRESSO3232441
13Ferrari Acers3232543
14Minnesota Twins3232546
15Go!3232544
16Nothing But Net3232547
17Love Summer (Flexible)3333657
18McRae (Flexible)3333646
19Skorupa Spinners3333649
20OneByOne-Fun3333758
21BCGJ3333753
22Game Set Wine3333862
23Shanks-a-lot2323647
24Two Scoops2323751
25Threesome2323858
26ball busters2323859
27PG2323852
28Good Vibrations2424846
29All the Singles Ladies2424853
30HaBlReBo (Flexible)2424858
31Anderson (Flexible)2424861
32Acarregui2424862
33Summer Sets2424970
34Mullen24241059
35Wilson (Flexible)24241065
36Chicks-Fil-A1414856
37CP-Fun-Gals1414964
38Fitzpatrick (Flexible)15151061
39MacNary (Flexible)15151063
40Mellow Yellow15151069
41NESS (Flexible)15151168
42Summer Fun05051061
43Czeisler-Zlateff05051052
44Matchmakers (Flexible)06061275

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 3.11 estimated across 2 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.

Alicia Sato
usually #1 Doubles 100% · published 4
Sayuri Koyamatsu
usually #1 Doubles 100% · published 4
3.16
PeiPei Sung
usually #1 Doubles 100% · published 3.5
3.07
Miri Rogers
usually #1 Doubles 100% · published 3.5
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.

Miri Rogers + Alicia Sato5849% games−1.7% vs expected
PeiPei Sung + Miri Rogers2450% games−10.4% vs expected
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.

4
Alicia Sato
32W–44L career · 3 lines in 2022
not enough data
4
Sayuri Koyamatsu
15W–27L career · 2 lines in 2022
not enough data
3.5
PeiPei Sung
127W–142L career · 6 lines in 2022
11%88%<1%
3.16
3.5
Miri Rogers
31W–58L career · 2 lines in 2022
30%70%<1%
3.07

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.