Teams

PAC-Sibley/Kanter

2020 Adult 55 & Over · 6.0 Women

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

View scouting list →
Scouting

Roster averages 2.84 estimated across 1 rated player. 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.

2.84
Karen Kraus
usually #1 Doubles 86%, also #3 Doubles 14% · published 3
Results7 ties
2019-11-10Lost 01
L#1 DoublesKaren Kraus / Karen Laumand vs Evelyne Cassell / Susan Gallegos6-1, 2-6, 1-0
2019-10-19Lost 01
L#1 DoublesKaren Laumand / Karen Kraus vs Ann-Marie Lundberg / Hitomi Tamura6-2, 4-6, 1-0
2019-10-05Won 10
W#1 DoublesKaren Kraus / Karen Laumand vs Kay Hallmark / Amy Korkowski7-5, 6-2
2019-09-29Won 10
W#1 DoublesKaren Kraus / Karen Laumand vs Patricia Herbert / Valerie Gibson6-1, 7-5
2019-09-21Won 10
W#1 DoublesKaren Kraus / Karen Laumand vs Trish Carder / Lynda Borja6-2, 6-2
2019-09-14Won 10
W#1 DoublesKaren Kraus / Karen Laumand vs Robin Burak / Cecilia Nguyen2-6, 6-4, 1-0
2019-09-07Lost 01
L#3 DoublesJeanne Kauffman / Karen Kraus vs Juliana Jiang / Sara Meier6-1, 6-3
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.

3
Karen Kraus
79W–102L career
0%97%2%
2.84

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.