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CRRC-Glenn(s)

2026 Mixed 55 & Over · 7.0 Mixed

10 players · average NTRP 3.3 · USTA/PACIFIC NW / NORTHERN OREGON

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Scouting

Roster averages 3.04 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.

3.83
Nick Hooker
usually #2 Doubles 67%, also #1 Doubles 33% · published 4
3.24
Julia Henry
usually #2 Doubles 67%, also #1 Doubles 33% · published 3
3.15
Ryan Owens
usually #1 Doubles 100% · published 3.5
3.12
Peter Singson
usually #1 Doubles 100% · published 3.5
3.09
Robert Glenn
usually #3 Doubles 60%, also #2 Doubles 40% · published 3.5
2.94
Wes Milligan
usually #3 Doubles 75%, also #2 Doubles 25% · published 3.5
2.79
Carol Glenn
usually #3 Doubles 67%, also #2 Doubles 33% · published 3
2.75
Karin Owens
usually #1 Doubles 100% · published 3
2.75
Nicola Ash
usually #2 Doubles 67%, also #1 Doubles 33% · published 3
2.74
Amy Hicks
usually #3 Doubles 80%, also #1 Doubles 20% · 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
Nick Hooker
194W–65L career
0%98%2%
3.83
3
Julia Henry
87W–52L career
0%15%85%
3.24
3.5
Ryan Owens
113W–77L career
5%95%0%
3.15
3.5
Peter Singson
88W–60L career
10%90%0%
3.12
3.5
Robert Glenn
117W–113L career
12%88%0%
3.09
3.5
Wes Milligan
128W–77L career
52%48%0%
2.94
3
Carol Glenn
82W–81L career
0%99%1%
2.79
3
Karin Owens
82W–66L career
1%99%0%
2.75
3
Nicola Ash
114W–136L career
1%99%0%
2.75
3
Amy Hicks
57W–67L career
1%99%0%
2.74

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.