MAC-Brown/Kim

2026 Adult 40 & Over · 4.0 Women

10 players · average NTRP 4 · USTA/PACIFIC NW / NORTHERN OREGON

Scouting

Roster averages 3.60 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.

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Kim Stevens

usually #1 Doubles 50%, also #3 Doubles 50% · published 4

3.71

Jeri Finn

usually #3 Doubles 50%, also #2 Doubles 25% · published 4

3.67

Linda Lovett

usually #2 Doubles 50%, also #1 Doubles 50% · published 4

3.67

Deana Julka

usually #3 Doubles 100% · published 4

3.64

Clarice Brown

usually #1 Doubles 50%, also #3 Doubles 25% · published 4

3.62

Laura Luthi

usually #2 Doubles 67%, also #1 Doubles 33% · published 4

3.59

Catherine Go

usually #3 Doubles 67%, also #2 Doubles 33% · published 4

3.58

Anna Holowetzki

usually #1 Singles 100% · published 4

3.51

Jeanette Thomas

usually #2 Doubles 50%, also #1 Doubles 50% · published 4

3.40

Julie Kim

usually #3 Doubles 67%, also #2 Doubles 33% · published 4

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.

Kim Stevens

56W–44L career

not enough data

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Jeri Finn

148W–71L career

2%98%0%

3.71

Linda Lovett

93W–105L career

4%96%0%

3.67

Deana Julka

69W–28L career

5%95%0%

3.67

Clarice Brown

91W–39L career

9%91%0%

3.64

Laura Luthi

30W–28L career

10%90%0%

3.62

Catherine Go

87W–77L career

15%85%0%

3.59

Anna Holowetzki

27W–27L career · type A

16%84%0%

3.58

Jeanette Thomas

89W–74L career

33%67%0%

3.51

Julie Kim

49W–37L career · type A

59%41%0%

3.40

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.