THPRD-Reese/Ellis

2026 Adult 55 & Over · 7.0 Women

9 players · average NTRP 3.39 · USTA/PACIFIC NW / NORTHERN OREGON

Scouting

Roster averages 3.09 estimated across 9 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.

3.27

Sandy Swift

usually #1 Doubles 100% · published 3.5

3.26

Cheryl Roloff

usually #2 Doubles 83%, also #3 Doubles 17% · published 3.5

3.15

Laura Shier

usually #1 Doubles 100% · published 3.5

3.12

Bernadette Lisac

usually #1 Doubles 60%, also #2 Doubles 40% · published 3.5

3.07

Susie Garland

usually #3 Doubles 67%, also #1 Doubles 33% · published 3.5

3.07

Ann Cassin

usually #3 Doubles 60%, also #2 Doubles 20% · published 3.5

3.00

Kerry Sanford

usually #1 Doubles 67%, also #2 Doubles 33% · published 3.5

2.96

Gina Ariosa

usually #2 Doubles 67%, also #3 Doubles 33% · published 3

2.91

Jeny Joseph

usually #2 Doubles 44%, also #1 Doubles 33% · 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

Sandy Swift

45W–49L career

4%93%3%

3.27

3.5

Cheryl Roloff

42W–107L career

1%99%0%

3.26

3.5

Laura Shier

22W–55L career

6%94%0%

3.15

3.5

Bernadette Lisac

21W–28L career

10%90%0%

3.12

3.5

Susie Garland

37W–56L career

23%77%0%

3.07

3.5

Ann Cassin

45W–69L career

20%80%0%

3.07

3.5

Kerry Sanford

22W–32L career · type A

39%60%0%

3.00

Gina Ariosa

24W–46L career

0%80%20%

2.96

Jeny Joseph

75W–91L career

0%95%5%

2.91

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.