Teams

Double the Fun v4.0-He

2019 One Doubles · 4.0 Women

2 players · average NTRP 3.75 · USTA/PACIFIC NW / NORTHERN OREGON

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Scouting

Roster averages 3.35 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.

3.48
Molly Odonnell
usually #1 Doubles 100% · published 4
3.22
Bin He
usually #1 Doubles 100% · published 3.5
Results8 ties
2019-07-31Lost 01
L#1 DoublesBin He / Jalaja Uppili vs Raini Spitze / Mary Hlady6-1, 6-2
2019-07-21Lost 01
L#1 DoublesBin He / Jalaja Uppili vs Rochelle Hart / Carrie Fisher6-3, 7-5
2019-07-20Lost 01
L#1 DoublesBin He / Molly Odonnell vs Flor Harrigan / Rie Sasakawa6-2, 6-1
2019-07-14Lost 01
L#1 DoublesBin He / Jalaja Uppili vs Darci Keljo / Geraldine Carter6-2, 7-5
2019-07-12Lost 01
L#1 DoublesMolly Odonnell / Bin He vs Julie Hansen / Amy Graham6-4, 6-4
2019-07-10Lost 01
L#1 DoublesBin He / Molly Odonnell vs Brandy Horwitz / Kirsten Giacomini4-6, 6-0, 1-0
2019-06-22Lost 01
L#1 DoublesBin He / Molly Odonnell vs Julie Hester / Kristi Vargas4-6, 6-3, 1-0
2019-06-19Won 10
W#1 DoublesBin He / Molly Odonnell vs Donna Kennish / Deanna Peterson6-3, 4-6, 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.
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.

4
Molly Odonnell
37W–90L career
40%60%0%
3.48
3.5
Bin He
68W–63L career
7%92%2%
3.22

Three percentages are the year-end projection — chance of moving down, staying, moving up — and the number on the right is our estimated dynamic rating, which USTA never publishes. 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.