Teams

SAC-Harwood

2024 Mixed 18 & Over · 7.0 Mixed

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

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Scouting

Roster averages 3.19 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.

3.37
Kim Tellin
usually #1 Doubles 50%, also #3 Doubles 50% · published 3.5
3.35
Timothea Barnatan
usually #2 Doubles 67%, also #3 Doubles 33% · published 3.5
3.28
Sam Ko
usually #3 Doubles 43%, also #1 Doubles 29% · published 3.5
3.19
Cathy Gatzke
usually #3 Doubles 75%, also #2 Doubles 25% · published 3.5
3.16
Shari Levelle
usually #1 Doubles 83%, also #2 Doubles 17% · published 3.5
3.14
Arjun Bilakanti
usually #3 Doubles 67%, also #1 Doubles 33% · published 3.5
3.14
Paul Harwood
usually #3 Doubles 50%, also #1 Doubles 25% · published 3.5
2.84
Kusum Mehndiratta
published 3
Chris Barbosa
usually #3 Doubles 100% · published 0
Results8 ties
2023-11-19Won 21
W#1 DoublesShari Levelle / Saril Valiyaparambil vs Alana Rhea / Mark Muckerheide6-2, 6-2
W#2 DoublesCathy Gatzke / Paul Harwood vs Robert Palena / Heidi Palena7-6, 7-6
L#3 DoublesArjun Bilakanti / Kim Tellin vs Charles Hahn / Cheryl Geisler5-7, 6-3, 1-0
2023-11-17Lost 12
L#1 DoublesAndrea Yao / Arjun Bilakanti vs Julia Bride / Ben Howard6-0, 6-2
W#2 DoublesSaril Valiyaparambil / Shari Levelle vs Catherine Huang / James Takahashi6-4, 6-3
L#3 DoublesPaul Harwood / Timothea Barnatan vs Milo Nguyen / Larry Van4-6, 6-4, 1-0
2023-10-28Split 11
W#1 DoublesShari Levelle / Saril Valiyaparambil vs Cate Harrington / Kevin Lennox6-1, 7-6
L#3 DoublesCathy Gatzke / Sam Ko vs Nina Hanson / Jered Cuenco4-6, 6-1, 1-0
2023-10-22Split 11
W#1 DoublesShari Levelle / Saril Valiyaparambil vs Bethany Bounds / John Magaddino6-2, 6-1
L#3 DoublesChris Barbosa / Andrea Yao vs Jeri Finn / Stephen Sanner6-2, 6-2
2023-10-15Won 20
W#1 DoublesShari Levelle / Saril Valiyaparambil vs Kathryn Harlan / Craig Mcreary6-3, 6-4
W#3 DoublesKim Tellin / Sam Ko vs Mary Chennault / Michael Lemmons5-7, 6-4, 1-0
2023-10-06Lost 12
L#1 DoublesKim Tellin / Paul Harwood vs Shane Wilson / Danira Bilanovic6-3, 6-3
L#2 DoublesTimothea Barnatan / Saril Valiyaparambil vs Adam Oken / Cindy del Rosario4-6, 6-3, 1-0
W#3 DoublesArjun Bilakanti / Cathy Gatzke vs Jordan Keomanivanh / Celene Robert6-1, 0-6, 1-0
2023-09-29Won 21
W#1 DoublesShari Levelle / Saril Valiyaparambil vs Pamela Hughes / Richard Jennings6-0, 6-0
W#2 DoublesTimothea Barnatan / Sam Ko vs Amanda Lowthian / Michael Meyers6-3, 6-2
L#3 DoublesCathy Gatzke / Cary Gatzke vs Jennifer Potter / Skip Potter6-2, 7-5
2023-09-23Split 11
W#1 DoublesSam Ko / Kim Tellin vs John van Leeuwen / Kiersten Lake6-2, 7-5
L#3 DoublesPaul Harwood / Andrea Yao vs Patricia Eargle / Dan Bingham4-6, 6-3, 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.

3.5
Kim Tellin
110W–71L career
0%97%2%
3.37
3.5
Timothea Barnatan
95W–117L career
0%98%2%
3.35
3.5
Sam Ko
66W–81L career
1%99%1%
3.28
3.5
Cathy Gatzke
53W–92L career
2%98%0%
3.19
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
3
Kusum Mehndiratta
20W–14L career
1%94%5%
2.84
0
Chris Barbosa
0W–2L career
not enough data

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.