Teams

GLVR-Robertson

2026 Mixed 55 & Over · 7.0 Mixed

10 players · average NTRP 3.35 · USTA/PACIFIC NW / NORTHERN OREGON

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Scouting

Roster averages 3.10 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.

3.44
Sarah Mutal
usually #1 Doubles 100% · published 3.5
3.27
Gretchen Newcomb
usually #2 Doubles 67%, also #1 Doubles 33% · published 3.5
3.18
Ken Dragoon
usually #3 Doubles 75%, also #2 Doubles 25% · published 3.5
3.14
Sarah Robertson
usually #2 Doubles 50%, also #1 Doubles 25% · published 3.5
3.12
Michael Archer
usually #2 Doubles 33%, also #1 Doubles 33% · published 3.5
3.11
Tom Grissom
usually #2 Doubles 50%, also #1 Doubles 25% · published 3.5
3.00
Ian Little
usually #1 Doubles 100% · published 3.5
2.96
Catherine Greenblatt
usually #2 Doubles 75%, also #3 Doubles 25% · published 3
2.95
Richard Nobleman
usually #2 Doubles 60%, also #1 Doubles 40% · published 3
2.88
Nozomi Bray
usually #2 Doubles 70%, also #3 Doubles 30% · 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.

3.5
Sarah Mutal
55W–34L career
0%92%8%
3.44
3.5
Gretchen Newcomb
49W–70L career
1%99%0%
3.27
3.5
Ken Dragoon
67W–93L career
5%95%0%
3.18
3.5
Sarah Robertson
72W–98L career
7%93%0%
3.14
3.5
Michael Archer
14W–26L career
12%88%0%
3.12
3.5
Tom Grissom
14W–22L career
16%84%0%
3.11
3.5
Ian Little
20W–17L career
33%67%0%
3.00
3
Catherine Greenblatt
52W–81L career
0%87%13%
2.96
3
Richard Nobleman
51W–36L career
0%89%11%
2.95
3
Nozomi Bray
60W–110L career
0%97%3%
2.88

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.