Teams

SW-Russell-3.5

2022 One Doubles- Summer · 3.5 Women

6 players · average NTRP 3.75 / SOUTHWEST WASHINGTON

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Schedule8 played
2022-06-27Won 10
W#1 DoublesCatherine Mcnaughton / Tamara Rosenbloom vs Karen Cook / Katherine Steuart6-2, 6-0
2022-06-20Won 10
W#1 DoublesTamara Rosenbloom / Vicki Moll vs Nikki Shirreff / Sheila Berry6-2, 6-0
2022-06-17Won 10
W#1 DoublesMika Russell / Tamara Rosenbloom vs Diana Chan / Adrianne Severns6-3, 6-2
2022-06-16Won 10
W#1 DoublesMayumi Barber / Vicki Moll vs Alexandrea Norris / Heidi Lakey6-2, 6-1
2022-06-15Lost 01
L#1 DoublesMayumi Barber / Halie Geier vs Beshka Lewis / Erica Teodoro2-6, 6-3, 0-1
2022-06-06Won 10
W#1 DoublesTamara Rosenbloom / Mika Russell vs Diana Chan / KuiCha Davison6-1, 6-1
2022-06-03Won 10
W#1 DoublesCatherine Mcnaughton / Mayumi Barber vs Alexandrea Norris / Heidi Lakey6-0, 6-0
2022-05-30Won 10
W#1 DoublesHalie Geier / Mika Russell vs Lyudmila Kunitsa / Nikki Shirreff6-1, 7-6
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 standings11 teams · 3.5 Women
TeamWLInd. WInd. LSets lostGames lost
1KTAC-Washington-Aces8080147
2SW-Russell-3.57171231
3Shirreff/Kunitsa5353656
4Clarke/Hewitt-Rowley Sisters5353763
5Mills-Charlie's Angels5353764
6Bosi/Herrick-Nuts for the Net35351081
7Norris/Lakey35351177
8Chan/Lomax-Flying Eagles35351284
9Shanley/Hunter26261389
10Cook-Double Trouble26261488
11Maggi17171494

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 3.59 estimated across 5 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.

3.78
Catherine Mcnaughton
usually #1 Doubles 100% · published 4
3.75
Halie Geier
usually #1 Doubles 100% · published 4
3.74
Mayumi Barber
usually #1 Doubles 100% · published 4
3.35
Tamara Rosenbloom
usually #1 Doubles 100% · published 3.5
3.35
Vicki Moll
usually #1 Doubles 100% · published 3.5
Mika Russell
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.

Mika Russell + Mayumi Barber4355% games+0.1% vs expected
Mayumi Barber + Vicki Moll4154% games−3.8% vs expected
Tamara Rosenbloom + Mika Russell404 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.

4
Catherine Mcnaughton
105W–65L career · 8 lines in 2022
2%94%4%
3.78
4
Halie Geier
78W–52L career · 2 lines in 2022
3%95%3%
3.75
4
Mayumi Barber
66W–55L career · 3 lines in 2022
3%94%2%
3.74
3.5
Tamara Rosenbloom
190W–151L career · 4 lines in 2022
<1%88%12%
3.35
3.5
Vicki Moll
149W–172L career · 3 lines in 2022
<1%88%12%
3.35
3.5
Mika Russell
73W–50L career · 3 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.