Teams

FREMONT HILLS CC 40AW3.5A

2025 ADULT 40&Over · Women's 3.5

21 players · average NTRP 3.38 / NO. CALIFORNIA

No matches recorded for this roster in this league — it may be a placeholder registration, or the season may not have started.

View scouting list →

Flight standings for Women's 3.5 have not been collected yet. Where we have them we show every team in the flight ranked, with this team highlighted. The crawler is still filling in older seasons and flights.

ScoutingWhere each opponent usually plays

Signed-in extra: whether this captain plays strict strength order or mixes it up, from every doubles line they have put out. Create a free account to see it.

Roster averages 3.16 estimated across 15 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.

3.60
Bonnie Chamchawee
usually #1 Doubles 100% · published 3.5
3.57
Katie Schmidt
published
3.52
Claiborne Brown
published 3.5
3.39
Paula Guslani
published
3.35
Rebecca Gyr
published
3.34
Jenny Peck
published
3.27
Amber Johnsen
published 3.5
Buffy Poon
published 3.5
Cindy Lunk
published 3.5
3.16
Pookie Kochatchawan
published
3.07
Nina Ye
published
3.02
Jung Yoon
published
2.97
Claudia Hevel
published 3.5
2.81
Angela Akiyama
published 3
2.79
Elaine Chong
published
2.77
Wendy McDowell
published
2.72
Debbie Liu
usually #2 Doubles 100% · published 3
Ilene Silver
published
Laura Gwosden
published
Linda Selker
published
Michelle Sujarit
published
Established pairs

Doubles pairs from this roster with three or more matches together anywhere — ordered by performance against what the rating gap predicted, not by record.

Paula Guslani + Claiborne Brown3252% gamesnot enough data
Pookie Kochatchawan + Claiborne Brown224 matchesnot enough data
Wendy McDowell + Angela Akiyama224 matchesnot enough data
Wendy McDowell + Elaine Chong213 matchesnot enough data
Paula Guslani + Amber Johnsen213 matchesnot enough data
Angela Akiyama + Elaine Chong303 matchesnot enough data
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. Lines played in this team’s season are shown beside each name.

3.5
Bonnie Chamchawee
83W–30L career · 1 line in 2025
<1%24%76%
3.60
Katie Schmidt
16W–5L career · no lines in 2025
31%69%<1%
3.57
3.5
Claiborne Brown
50W–29L career · no lines in 2025
<1%45%55%
3.52
Paula Guslani
11W–10L career · no lines in 2025
<1%77%22%
3.39
Rebecca Gyr
10W–4L career · no lines in 2025
1%85%14%
3.35
Jenny Peck
28W–20L career · no lines in 2025
1%86%13%
3.34
3.5
Amber Johnsen
21W–18L career · no lines in 2025
3%92%5%
3.27
3.5
Buffy Poon
3W–2L career · no lines in 2025
not enough data
3.5
Cindy Lunk
1W–0L career · no lines in 2025
not enough data
Pookie Kochatchawan
21W–31L career · no lines in 2025
12%87%1%
3.16
Nina Ye
8W–13L career · no lines in 2025
30%70%<1%
3.07
Jung Yoon
21W–2L career · no lines in 2025
0%<1%>99%
3.02
3.5
Claudia Hevel
0W–5L career · no lines in 2025
58%42%<1%
2.97
3
Angela Akiyama
24W–19L career · no lines in 2025
1%90%8%
2.81
Elaine Chong
42W–27L career · no lines in 2025
0%2%98%
2.79
Wendy McDowell
25W–23L career · no lines in 2025
0%3%97%
2.77
3
Debbie Liu
12W–14L career · 1 line in 2025
6%92%2%
2.72
Ilene Silver
0W–2L career · no lines in 2025
not enough data
Laura Gwosden
1W–2L career · no lines in 2025
not enough data
Linda Selker
0W–1L career · no lines in 2025
not enough data
Michelle Sujarit
0W–2L career · no lines in 2025
not enough data

Three percentages are where each player stands right now: the chance they are below their band, inside it, or above it, on the way they are playing this season. The number on the right is our estimated dynamic rating, which USTA never publishes. This is today rather than a forecast of December, because a forecast has to assume future matches and cannot know whether someone will even be offered them. 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.

Not affiliated with or endorsed by the USTA. Ratings labelled as published are USTA year-end figures; anything we describe as an estimate is ours, not USTA’s. Match data is from USTA TennisLink.