VTC-Won/Watkins

2026 Mixed 18 & Over · 7.0 Mixed

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

Scouting

Roster averages 3.40 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.

3.66

Wes Schalk

usually #2 Doubles 67%, also #1 Doubles 17% · published 4

3.64

Michael Won

usually #3 Doubles 83%, also #2 Doubles 17% · published 4

3.60

Mark Bernazzani

usually #2 Doubles 50%, also #1 Doubles 33% · published 3.5

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

3.46

Karen Pickering

usually #2 Doubles 50%, also #3 Doubles 50% · published 3.5

3.33

Puntrigar Suriyaseang

usually #1 Doubles 88%, also #3 Doubles 13% · published 3.5

3.03

Maryann Velez

usually #2 Doubles 67%, also #3 Doubles 33% · published 3

2.77

Alana Rhea

usually #3 Doubles 67%, also #2 Doubles 33% · published 3

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.

Wes Schalk

81W–65L career

4%96%0%

3.66

Michael Won

72W–73L career

6%94%0%

3.64

3.5

Mark Bernazzani

86W–38L career

0%53%47%

3.60

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

Karen Pickering

156W–123L career

0%90%10%

3.46

3.5

Puntrigar Suriyaseang

33W–49L career

0%99%1%

3.33

Maryann Velez

81W–49L career

0%74%26%

3.03

Alana Rhea

77W–88L career

0%99%0%

2.77

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.