Teams

THPRD-Agrawal

2026 Adult 40 & Over · 3.5 Women

11 players · average NTRP 3.36 · USTA/PACIFIC NW / NORTHERN OREGON

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Scouting

Roster averages 3.32 estimated across 11 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.

3.54
Debbie Spitzer
usually #1 Doubles 100% · published 3.5
3.53
Roksolana Shyyka
usually #1 Singles 100% · published 3.5
3.48
Ying-Chieh Chen
usually #1 Doubles 100% · published 3.5
3.41
Joan OByrne
usually #3 Doubles 50%, also #2 Doubles 50% · published 3.5
3.39
Shweta Agrawal
usually #2 Doubles 33%, also #1 Singles 33% · published 3
3.35
Ye Gong
usually #1 Doubles 44%, also #2 Doubles 22% · published 3
3.34
Angie Urrutia
usually #2 Doubles 50%, also #1 Doubles 25% · published 3.5
3.15
Maya Mori
usually #1 Doubles 50%, also #2 Doubles 50% · published 3.5
3.14
Wenping Xue
usually #3 Doubles 40%, also #1 Doubles 40% · published 3
3.14
Dolores Corley
usually #3 Doubles 67%, also #2 Doubles 33% · published 3.5
3.09
Alison Marr
usually #2 Doubles 100% · 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.

3.5
Debbie Spitzer
143W–63L career
0%70%30%
3.54
3.5
Roksolana Shyyka
34W–21L career
0%73%27%
3.53
3.5
Ying-Chieh Chen
45W–15L career
0%82%18%
3.48
3.5
Joan OByrne
50W–19L career
0%88%12%
3.41
3
Shweta Agrawal
91W–36L career
0%1%99%
3.39
3
Ye Gong
46W–9L career
0%4%96%
3.35
3.5
Angie Urrutia
72W–39L career
0%98%2%
3.34
3.5
Maya Mori
86W–77L career
9%91%0%
3.15
3
Wenping Xue
38W–11L career
0%40%60%
3.14
3.5
Dolores Corley
74W–61L career
8%92%0%
3.14
3.5
Alison Marr
70W–50L career
20%80%0%
3.09

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.