Teams

LOTC-Gibson/Mamula

2024 Adult 55 & Over · 6.0 Women

2 players · average NTRP 3.25 · USTA/PACIFIC NW / NORTHERN OREGON

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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.

Patricia Sturr
usually #2 Doubles 60%, also #3 Doubles 40% · published 3.5
2.84
Karen Kraus
usually #3 Doubles 44%, also #1 Doubles 33% · published 3
Results5 ties
2023-11-17Won 10
W#1 DoublesPatty Mamula / Karen Kraus vs Karin Owens / Nicola Ash7-5, 6-1
2023-10-21Lost 02
L#1 DoublesKaren Kraus / Dorothy Rodegerdts vs Pamela Lagielski / Robin Burak6-2, 7-6
L#2 DoublesFran Hepp / Patricia Sturr vs Molly Wilson / Maryann Velez6-2, 6-4
2023-10-14Lost 02
L#2 DoublesPatricia Sturr / Fran Hepp vs Suzanne Friedman / Margaret Convery6-3, 6-0
L#3 DoublesPatty Mamula / Karen Kraus vs JaReda Webb / Jennifer Thompson6-2, 7-6
2023-09-29Won 10
W#1 DoublesKaren Kraus / Sarah Larson vs Perla Lewis / Sharon Place6-2, 7-5
2023-09-17Won 10
W#3 DoublesChristina Gibson / Karen Kraus vs Minhhang Tran / Lori Andersen6-1, 6-2
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.

3.5
Patricia Sturr
59W–77L career
not enough data
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.