LCC-Schweitz Late Night Fried Chicken

2026 Mixed 40 & Over · 9.0 Mixed

10 players · average NTRP 4.4 · USTA/PACIFIC NW / NORTHERN OREGON

Scouting

Roster averages 4.07 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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Phalkun Mam

usually #2 Doubles 50%, also #3 Doubles 50% · published 5

4.46

Annie Duong

usually #1 Doubles 50%, also #2 Doubles 50% · published 4.5

4.41

Bo Johnson

usually #1 Doubles 50%, also #2 Doubles 50% · published 4.5

4.39

Yen Ly

usually #1 Doubles 50%, also #2 Doubles 50% · published 4.5

4.22

Josh Schweitz

usually #1 Doubles 50%, also #2 Doubles 50% · published 4.5

4.05

Amy Bucher

usually #2 Doubles 100% · published 4.5

4.03

Christie Post

usually #1 Doubles 100% · published 4.5

3.82

JENNIFER BELOY

usually #3 Doubles 100% · published 4

3.72

Mary Klinger

usually #3 Doubles 67%, also #1 Doubles 33% · published 4

3.52

Jennifer Simmons

usually #2 Doubles 100% · 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.

Phalkun Mam

44W–29L career

not enough data

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4.5

Annie Duong

120W–52L career

0%71%29%

4.46

4.5

Bo Johnson

49W–18L career

0%84%16%

4.41

4.5

Yen Ly

56W–51L career

0%87%13%

4.39

4.5

Josh Schweitz

56W–30L career

1%98%1%

4.22

4.5

Amy Bucher

178W–78L career

10%90%0%

4.05

4.5

Christie Post

29W–26L career

10%90%0%

4.03

JENNIFER BELOY

100W–45L career

0%99%1%

3.82

Mary Klinger

221W–142L career

1%99%0%

3.72

Jennifer Simmons

63W–75L career

30%70%0%

3.52

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.