CHARB-Siri/Enos

2026 Adult 40 & Over · 3.5 Women

9 players · average NTRP 3.28 · USTA/PACIFIC NW / NORTHERN OREGON

Scouting

Roster averages 3.10 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.

3.56

Alma Siri

usually #1 Doubles 50%, also #1 Singles 50% · published 3.5

3.25

Carole Bell

usually #2 Doubles 80%, also #3 Doubles 20% · published 3

3.24

Swathi Karlapati

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

3.22

Linda Dallof

usually #1 Singles 80%, also #1 Doubles 20% · published 3.5

3.06

Marlene Enos

usually #1 Doubles 60%, also #3 Doubles 40% · published 3.5

3.04

Christine Taylor

usually #2 Doubles 100% · published 3.5

3.02

Nancy Salisbury

usually #3 Doubles 75%, also #1 Doubles 25% · published 3

2.96

Jennifer Trank

usually #2 Doubles 71%, also #1 Doubles 14% · published 3

2.57

Karla Hendrickson

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.

3.5

Alma Siri

70W–37L career

0%65%35%

3.56

Carole Bell

23W–23L career

0%13%87%

3.25

3.5

Swathi Karlapati

44W–19L career

2%97%1%

3.24

3.5

Linda Dallof

52W–62L career · type A

1%99%0%

3.22

3.5

Marlene Enos

42W–74L career · type A

18%82%0%

3.06

3.5

Christine Taylor

47W–49L career · type A

23%77%0%

3.04

Nancy Salisbury

58W–46L career

0%73%27%

3.02

Jennifer Trank

93W–104L career

0%89%11%

2.96

Karla Hendrickson

41W–109L career

17%83%0%

2.57

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.