Teams

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2026 Mixed 18 & Over · 8.0 Mixed

10 players · average NTRP 3.95 · USTA/PACIFIC NW / NORTHERN OREGON

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Scouting

Roster averages 3.71 estimated across 10 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.

4.10
Colleen Sharkey
usually #1 Doubles 82%, also #2 Doubles 18% · published 4.5
3.86
Carrie Willis
usually #3 Doubles 44%, also #2 Doubles 44% · published 4
3.82
Francisco Rivera-Giusti
usually #2 Doubles 44%, also #1 Doubles 33% · published 4
3.81
Shiori Baba
usually #2 Doubles 67%, also #1 Doubles 33% · published 4
3.77
Jenica Susi
usually #2 Doubles 50%, also #3 Doubles 38% · published 4
3.72
John Truong
usually #2 Doubles 44%, also #1 Doubles 33% · published 4
3.66
Wes Schalk
usually #2 Doubles 67%, also #1 Doubles 17% · published 4
3.58
Heather Watkins
usually #1 Doubles 50%, also #3 Doubles 25% · published 4
3.49
Duncan Sharkey
usually #1 Doubles 80%, also #3 Doubles 10% · published 3.5
3.33
Puntrigar Suriyaseang
usually #1 Doubles 88%, also #3 Doubles 13% · published 3.5
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.

4.5
Colleen Sharkey
64W–49L career
3%97%0%
4.10
4
Carrie Willis
121W–52L career
0%97%3%
3.86
4
Francisco Rivera-Giusti
126W–98L career
0%99%1%
3.82
4
Shiori Baba
12W–14L career
1%96%3%
3.81
4
Jenica Susi
74W–34L career
0%99%0%
3.77
4
John Truong
38W–24L career
2%98%0%
3.72
4
Wes Schalk
81W–65L career
4%96%0%
3.66
4
Heather Watkins
118W–96L career
14%86%0%
3.58
3.5
Duncan Sharkey
25W–16L career · type S
0%84%16%
3.49
3.5
Puntrigar Suriyaseang
33W–49L career
0%99%1%
3.33

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.