Teams

IRV-Porter/North

2026 Adult 55 & Over · 8.0 Women

10 players · average NTRP 3.9 · USTA/PACIFIC NW / NORTHERN OREGON

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Scouting

Roster averages 3.59 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.

3.84
Noriko Satake
usually #3 Doubles 67%, also #1 Doubles 33% · published 4.5
3.79
Libby North
usually #2 Doubles 50%, also #1 Doubles 50% · published 4
3.77
Lisa Lyon
usually #1 Doubles 67%, also #2 Doubles 33% · published 4
3.73
Christy Strange
usually #1 Doubles 50%, also #2 Doubles 50% · published 4
3.73
Trish Vawter
usually #2 Doubles 60%, also #1 Doubles 20% · published 4
3.72
Mary Klinger
usually #1 Doubles 75%, also #2 Doubles 25% · published 4
3.71
Jan Rothert
usually #3 Doubles 100% · published 4
3.27
Char Riley
usually #3 Doubles 56%, also #2 Doubles 22% · published 3.5
3.20
Traci Laurent
usually #1 Doubles 50%, also #2 Doubles 50% · published 3.5
3.12
Blythe Knott
usually #3 Doubles 67%, also #2 Doubles 33% · 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
Noriko Satake
36W–52L career
56%44%0%
3.84
4
Libby North
51W–49L career
0%99%1%
3.79
4
Lisa Lyon
91W–68L career
0%99%0%
3.77
4
Christy Strange
89W–67L career
1%99%0%
3.73
4
Trish Vawter
63W–83L career
1%99%0%
3.73
4
Mary Klinger
221W–142L career
1%99%0%
3.72
4
Jan Rothert
39W–28L career
7%91%1%
3.71
3.5
Char Riley
37W–47L career
1%98%1%
3.27
3.5
Traci Laurent
46W–54L career
4%96%0%
3.20
3.5
Blythe Knott
22W–48L career
13%87%0%
3.12

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.