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SAC-Xu

2025 Adult 55 & Over · 7.0 Women

9 players · average NTRP 3.44 · USTA/PACIFIC NW / NORTHERN OREGON

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Scouting

Roster averages 3.21 estimated across 9 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.

3.53
Laura Rundle
usually #1 Doubles 73%, also #2 Doubles 18% · published 4
3.47
Jian Xu
usually #2 Doubles 50%, also #3 Doubles 25% · published 3.5
3.37
Kim Tellin
usually #2 Doubles 40%, also #1 Doubles 40% · published 3.5
3.35
Timothea Barnatan
usually #1 Doubles 55%, also #3 Doubles 46% · published 3.5
3.19
Jill Boyce
usually #2 Doubles 50%, also #3 Doubles 50% · published 3.5
3.16
Shari Levelle
usually #1 Doubles 75%, also #3 Doubles 25% · published 3.5
3.08
Betty Roux
usually #2 Doubles 75%, also #3 Doubles 25% · published 3.5
2.91
Catherine Huang
usually #1 Doubles 44%, also #3 Doubles 44% · published 3
2.84
Kusum Mehndiratta
published 3
Results8 ties
2024-11-10Won 2–1
W#1 DoublesTimothea Barnatan / Laura Rundle vs Bernice Zhang / Sandra Seyler6-1, 6-2
W#2 DoublesSusan Elmer / Kim Tellin vs Gena Martinez / Kelly Asbridge6-0, 6-1
L#3 DoublesJill Boyce / Shari Levelle vs Cindy Rushall / Alana Rhea3-6, 7-5, 1-0
2024-11-02Won 2–0
W#1 DoublesTimothea Barnatan / Shari Levelle vs Dalika Crawford / Dayna Jahnke-Corwin6-3, 7-5
W#2 DoublesSusan Elmer / Jian Xu vs Cathy Zagunis / Pat Kaplan6-4, 6-3
2024-10-27Won 2–1
W#1 DoublesLaura Rundle / Timothea Barnatan vs Kathy Ramsey / Cori Pierce5-7, 6-1, 1-0
W#2 DoublesBetty Roux / Jill Boyce vs Sarah Robertson / Kim Hevia6-2, 6-2
L#3 DoublesKusum Mehndiratta / Catherine Huang vs Rebecca Roberts / Brooke Kuerbis6-3, 6-3
2024-10-19Won 2–1
W#1 DoublesSusan Elmer / Kim Tellin vs Brooke Kuerbis / Rebecca Roberts6-3, 6-2
L#2 DoublesEllen Hodges / Betty Roux vs Cori Pierce / Linda Castaneda6-2, 3-6, 1-0
W#3 DoublesJill Boyce / Catherine Huang vs Laura Shier / Megan Clifford7-6, 6-3
2024-10-12Lost 0–3
L#1 DoublesKim Tellin / Jian Xu vs Julie Kim / Hanny Tan6-3, 3-6, 1-0
L#2 DoublesEllen Hodges / Betty Roux vs Laura Laney / Carolyn Bachhuber0-6, 6-1, 1-0
L#3 DoublesJill Boyce / Catherine Huang vs Gretchen Wagner / Deb Garris7-6, 5-7, 1-0
2024-10-06Won 3–0
W#1 DoublesTimothea Barnatan / Shari Levelle vs Sandi Martes / Kathy Johnson6-1, 6-2
W#2 DoublesJill Boyce / Jian Xu vs Angie Lee / Diana Blebea6-4, 7-5
W#3 DoublesKusum Mehndiratta / Catherine Huang vs Hideko Kershaw / Jackie Konen1-6, 6-1, 1-0
2024-10-04Lost 1–2
W#1 DoublesTimothea Barnatan / Laura Rundle vs Barbara Gram / Julie Kim7-5, 6-3
L#2 DoublesJill Boyce / Kim Tellin vs Dory Simons / Kim Wright6-2, 6-1
L#3 DoublesEllen Hodges / Betty Roux vs Alison Davis / Julia Hall7-5, 6-3
2024-09-29Lost 0–2
L#1 DoublesShari Levelle / Laura Rundle vs Laurence Dupray / Jaymi Sladen6-1, 6-7, 1-0
L#3 DoublesJian Xu / Kim Tellin vs Kathleen Budnick / Vera Vos4-6, 6-1, 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.

4
Laura Rundle
113W–113L career
25%75%0%
3.53
3.5
Jian Xu
138W–56L career
0%88%12%
3.47
3.5
Kim Tellin
110W–71L career
0%97%2%
3.37
3.5
Timothea Barnatan
95W–117L career
0%98%2%
3.35
3.5
Jill Boyce
148W–90L career
3%97%0%
3.19
3.5
Shari Levelle
63W–57L career
4%96%0%
3.16
3.5
Betty Roux
101W–106L career · type A
18%82%0%
3.08
3
Catherine Huang
94W–61L career
0%94%6%
2.91
3
Kusum Mehndiratta
20W–14L career
1%94%5%
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.