Teams

Gram/Seeger

2022 One Doubles · 3.0 Women

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

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Scouting

Roster averages 2.89 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.

2.89
Barbara Gram
usually #1 Doubles 100% · published 3
Results8 ties
2022-08-13Won 10
W#1 DoublesRachael Seeger / Barbara Gram vs N/A6-0, 6-0
2022-08-05Won 10
W#1 DoublesRachael Seeger / Barbara Gram vs Tina Nelson / Christy Wilson4-6, 6-3, 1-0
2022-07-25Won 10
W#1 DoublesBarbara Gram / Rachael Seeger vs Cynthia Ross-Brockett / Neoma Sugarman6-4, 2-6, 1-0
2022-07-24Lost 01
L#1 DoublesRachael Seeger / Barbara Gram vs Margaret Convery / Gail Bolte6-4, 6-4
2022-07-20Lost 01
L#1 DoublesRachael Seeger / Barbara Gram vs Desiree Bliss / Courtney Laing6-2, 6-0
2022-07-19Lost 01
L#1 DoublesRachael Seeger / Barbara Gram vs Susanne Cochran / Jodi Wilkins6-4, 2-6, 1-0
2022-07-09Won 10
W#1 DoublesBarbara Gram / Rachael Seeger vs Autumn Bunch / Shannon Darrow6-4, 4-6, 1-0
2022-07-08Lost 01
L#1 DoublesRachael Seeger / Barbara Gram vs Alena Lauritsen / Dayna Jahnke-Corwin6-2, 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.

3
Barbara Gram
127W–129L career
0%97%3%
2.89

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.