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SAC-Harwood

2025 Mixed 18 & Over · 7.0 Mixed

8 players · average NTRP 3.56 · USTA/PACIFIC NW / NORTHERN OREGON

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Scouting

Roster averages 3.29 estimated across 8 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 78%, also #2 Doubles 22% · published 4
3.37
Kim Tellin
usually #2 Doubles 75%, also #1 Doubles 25% · published 3.5
3.35
Timothea Barnatan
usually #3 Doubles 83%, also #2 Doubles 17% · published 3.5
3.33
Frank Ferschweiler
usually #2 Doubles 50%, also #3 Doubles 25% · published 3.5
3.32
Jihoon Bang
usually #2 Doubles 57%, also #3 Doubles 43% · published 3.5
3.16
Shari Levelle
usually #1 Doubles 75%, also #3 Doubles 25% · published 3.5
3.14
Arjun Bilakanti
usually #3 Doubles 100% · published 3.5
3.14
Paul Harwood
usually #3 Doubles 50%, also #1 Doubles 25% · published 3.5
Results8 ties
2024-12-08Won 3–0
W#1 DoublesSaril Valiyaparambil / Kim Tellin vs Anthony Hoang / Rie Sasakawa6-2, 6-2
W#2 DoublesFrank Ferschweiler / Julie Hansen vs Morganne Hatfield / Michael Tien6-1, 6-2
W#3 DoublesEllen Hodges / Arjun Bilakanti vs N/A6-0, 6-0
2024-11-23Won 2–1
W#1 DoublesLaura Rundle / Saril Valiyaparambil vs Derek Lamprecht / Andrea Lamprecht6-0, 6-1
W#2 DoublesJihoon Bang / Kim Tellin vs Rebecca van Sickle / Fergus Caldicott6-2, 6-1
L#3 DoublesTimothea Barnatan / Paul Harwood vs Amy Cooney / Richard Sohn6-3, 7-6
2024-11-16Lost 1–2
L#1 DoublesSaril Valiyaparambil / Shari Levelle vs Rachel Novak / Adam Rainey6-4, 0-6, 1-0
L#2 DoublesPaul Harwood / Laura Rundle vs Lia Irvin / Sebastian Llados Vila6-4, 6-3
W#3 DoublesFrank Ferschweiler / Timothea Barnatan vs Ann Lasocki / Jamil Panni6-3, 6-4
2024-11-15Won 3–0
W#1 DoublesSaril Valiyaparambil / Shari Levelle vs Jeff Lipke / Toni Eastwood6-4, 6-4
W#2 DoublesFrank Ferschweiler / Julie Hansen vs Tony Humpage / Emily Qi6-2, 6-0
W#3 DoublesJihoon Bang / Susan Elmer vs Jeff Marshall / Gail Bolte6-2, 6-1
2024-11-09Won 2–1
W#1 DoublesSaril Valiyaparambil / Laura Rundle vs Nina Bakos / Benjamin LeVine6-2, 6-4
W#2 DoublesJihoon Bang / Kim Tellin vs Colleen Kellogg / Gabor Muskat6-3, 6-3
L#3 DoublesPaul Harwood / Shari Levelle vs Ian Little / Sarah Mutal6-2, 5-7, 1-0
2024-10-19Won 2–0
W#1 DoublesPaul Harwood / Laura Rundle vs Kevin Grainger / Tami McAra6-1, 3-6, 1-0
W#2 DoublesFrank Ferschweiler / Julie Hansen vs Paula Conway / Anthony Guzzi6-1, 6-0
2024-09-15Lost 0–3
L#1 DoublesShari Levelle / Saril Valiyaparambil vs Jason Qian / Xiaolu Huang6-4, 7-5
L#2 DoublesJulie Hansen / Frank Ferschweiler vs Andalib Khan / Anita Rockwell6-0, 7-5
L#3 DoublesArjun Bilakanti / Timothea Barnatan vs PHAT Lee / Thu Truong6-1, 7-6
2024-09-08Won 2–0
W#1 DoublesSaril Valiyaparambil / Laura Rundle vs Murray Jansen / Dayna Porter6-0, 2-0
W#2 DoublesJihoon Bang / Kim Tellin vs Pete Kovalenko / Janet Mills7-5, 6-0
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
Kim Tellin
110W–71L career
0%97%2%
3.37
3.5
Timothea Barnatan
95W–117L career
0%98%2%
3.35
3.5
Frank Ferschweiler
77W–41L career
0%98%2%
3.33
3.5
Jihoon Bang
57W–41L career
0%99%1%
3.32
3.5
Shari Levelle
63W–57L career
4%96%0%
3.16
3.5
Arjun Bilakanti
47W–107L career
6%94%0%
3.14
3.5
Paul Harwood
59W–69L career
14%85%1%
3.14

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.