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LOTC-Semonsen

2026 Mixed 55 & Over · 7.0 Mixed

10 players · average NTRP 3.5 · USTA/PACIFIC NW / NORTHERN OREGON

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Scouting

Roster averages 3.33 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.

3.75
Jerome Deluz
usually #2 Doubles 71%, also #3 Doubles 29% · published 4
3.64
Jennifer Andrieu
usually #3 Doubles 50%, also #2 Doubles 30% · published 4
3.49
Danny Denning
usually #2 Doubles 56%, also #3 Doubles 33% · published 4
3.45
Kevin Semonsen
usually #1 Doubles 67%, also #3 Doubles 33% · published 3.5
3.32
Karen Groenweghe
usually #1 Doubles 100% · published 3.5
3.26
Edwin Becker
usually #1 Doubles 50%, also #2 Doubles 50% · published 3.5
3.22
Frank Brown
usually #3 Doubles 80%, also #2 Doubles 20% · published 3
3.20
Ron Press
usually #1 Doubles 80%, also #3 Doubles 20% · published 3.5
3.09
Gwen van Meter
usually #2 Doubles 100% · published 3
2.87
Nora Semonsen
usually #3 Doubles 40%, also #2 Doubles 40% · 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.

4
Jerome Deluz
17W–16L career · type M
3%95%1%
3.75
4
Jennifer Andrieu
52W–77L career
5%95%0%
3.64
4
Danny Denning
64W–77L career
36%64%0%
3.49
3.5
Kevin Semonsen
48W–44L career
0%88%12%
3.45
3.5
Karen Groenweghe
82W–81L career
0%98%2%
3.32
3.5
Edwin Becker
15W–22L career
2%97%1%
3.26
3
Frank Brown
114W–69L career
0%17%83%
3.22
3.5
Ron Press
40W–41L career
2%98%0%
3.20
3
Gwen van Meter
27W–59L career
0%55%45%
3.09
3
Nora Semonsen
47W–70L career
1%89%10%
2.87

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.