LOTC-Lee/Kearns

2026 Adult 18 & Over · 3.5 Women

9 players · average NTRP 3.33 · USTA/PACIFIC NW / NORTHERN OREGON

Scouting

Roster averages 3.30 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.

3.45

Jamie Melton

usually #2 Singles 50%, also #1 Singles 33% · published 3.5

3.42

Valerie Truong

usually #1 Singles 33%, also #2 Singles 33% · published 3.5

3.36

Carolyn Graeper

usually #2 Doubles 43%, also #1 Doubles 29% · published 3.5

3.35

Karen Barks

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

3.33

Sarah Shin

usually #2 Doubles 40%, also #2 Mixed Doubles 40% · published 3.5

3.30

Suzanne Chambers

usually #3 Doubles 50%, also #2 Singles 50% · published 3.5

3.27

Danira Bilanovic

usually #3 Doubles 75%, also #2 Doubles 25% · published 3

3.15

Natalie Fine

usually #1 Doubles 40%, also #2 Doubles 40% · published 3

3.07

Cynthia Novac-Yu

usually #2 Doubles 43%, also #3 Doubles 29% · 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

Jamie Melton

31W–12L career

0%90%10%

3.45

3.5

Valerie Truong

15W–12L career · type S

0%92%8%

3.42

3.5

Carolyn Graeper

54W–20L career

0%96%4%

3.36

3.5

Karen Barks

35W–20L career

0%96%4%

3.35

3.5

Sarah Shin

41W–25L career

0%98%2%

3.33

3.5

Suzanne Chambers

80W–68L career

0%98%1%

3.30

Danira Bilanovic

42W–19L career

0%13%87%

3.27

Natalie Fine

28W–9L career

0%38%62%

3.15

Cynthia Novac-Yu

48W–45L career

0%61%39%

3.07

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.