Teams

Farrelly/Haas

2019 One Doubles · 3.5 Women

3 players · average NTRP 3.67 · USTA/PACIFIC NW / NORTHERN OREGON

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Scouting

Roster averages 3.47 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.

3.58
Tina Farrelly
usually #1 Doubles 100% · published 4
3.36
Stephanie Haas
usually #1 Doubles 100% · published 3.5
Anna Koepke
usually #1 Doubles 100% · published 3.5
Results8 ties
2019-08-05Lost 01
L#1 DoublesTina Farrelly / Jennifer Scott vs Paula Jacobson / Janine Wood7-5, 6-4
2019-08-04Lost 01
L#1 DoublesTina Farrelly / Anna Koepke vs Julie Trujillo / Tanya Wong6-4, 7-5
2019-07-31Won 10
W#1 DoublesTina Farrelly / Stephanie Haas vs N/A6-0, 6-0
2019-07-23Lost 01
L#1 DoublesStephanie Haas / Anna Koepke vs Susha Pratt / Elise Anderson6-1, 6-4
2019-07-21Lost 01
L#1 DoublesStephanie Haas / Jennifer Scott vs Holly Kanz / Danielle Cuenco7-5, 7-5
2019-07-21Lost 01
L#1 DoublesStephanie Haas / Anna Koepke vs Paula Jacobson / Janine Wood6-2, 6-3
2019-07-19Lost 01
L#1 DoublesStephanie Haas / Jennifer Scott vs Laura Maginnis / Heike Droste6-2, 6-7, 1-0
2019-07-15Lost 01
L#1 DoublesTina Farrelly / Jennifer Scott vs Tami McAra / Michele Snyder6-3, 6-4
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
Tina Farrelly
115W–45L career
14%86%0%
3.58
3.5
Stephanie Haas
66W–82L career
0%98%2%
3.36
3.5
Anna Koepke
15W–23L career
not enough data

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.