Teams

The Miss Hits

2019 One Doubles · 3.5 Women

2 players · average NTRP 4 · USTA/PACIFIC NW / SOUTHERN OREGON

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Scouting

Roster averages 3.67 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.

3.71
Aubree Nash
usually #1 Doubles 100% · published 4
3.63
Bobbi Kearney
usually #1 Doubles 100% · published 4
Results7 ties
2019-08-12Lost 01
L#1 DoublesBobbi Kearney / Jenny Kreutzer vs Julie Duvall / Mee Wai Lam7-6, 6-4
2019-08-11Lost 01
L#1 DoublesBobbi Kearney / Jenny Kreutzer vs Cynthia Duffus / Kim Himstreet7-6, 6-2
2019-07-26Won 10
W#1 DoublesAubree Nash / Krissi Martes vs Anita Geisler / Jacqui Whisler6-4, 6-0
2019-07-14Won 10
W#1 DoublesAubree Nash / Jenny Kreutzer vs Cathy Geiger / Michelle McAuliffe2-6, 6-3, 1-0
2019-07-05Won 10
W#1 DoublesBobbi Kearney / Aubree Nash vs Lindsey Poulsen / Kathy Schleisman6-2, 6-0
2019-07-04Lost 01
L#1 DoublesBobbi Kearney / Krissi Martes vs Tiffera Tarbox / Kendra Barkes6-4, 6-2
2019-06-23Lost 01
L#1 DoublesAubree Nash / Jenny Kreutzer vs Maggie Hudson / Mari Bailey6-4, 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.
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
Aubree Nash
95W–66L career
2%98%0%
3.71
4
Bobbi Kearney
100W–65L career
8%92%0%
3.63

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.