Teams

BAY CLUB SANTA CLARA 40MX7.0A

2024 MIXED 40&Over · 40&Over MX7.0

22 players · average NTRP 3.55 / 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 40&Over MX7.0 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 3.48 estimated across 20 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.

3.96
Joe Liebeschuetz
published 4
3.92
Michelle Nicholson
published
3.87
Wade Conklin
published
3.86
Dai Truong
published 4
3.84
Patrick Oakes
published
3.69
Siddharth Gupta
published
3.63
Paul Kwon
published
3.60
Dorien Africa
published 4
3.55
Sally Kim
published
3.45
William Africa
published
3.43
SCOTT PETTITT
published
3.39
Sonia Whitfield
published
3.33
Christine Fronczak
published 3.5
3.33
Katherine Sandell
published
3.31
Charles Grayson
published 3.5
3.25
Cathleen Ligman
published 3.5
Erinn O'Reilly
published 3.5
3.23
Corey Ebadat
published 3.5
3.05
Shawna Ballard
published
3.00
Inna Cantor
published 3.5
2.92
Anthony Guin
published 3
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.

Patrick Oakes + Shawna Ballard2350% games−1.4% vs expected
Patrick Oakes + Elizabeth Hitchcock314 matchesnot enough data
Christine Fronczak + William Africa213 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.

4
Joe Liebeschuetz
96W–64L career · no lines in 2024
<1%62%38%
3.96
Michelle Nicholson
43W–22L career · no lines in 2024
<1%73%27%
3.92
Wade Conklin
19W–19L career · no lines in 2024
<1%85%15%
3.87
4
Dai Truong
17W–9L career · no lines in 2024
<1%85%15%
3.86
Patrick Oakes
25W–22L career · no lines in 2024
<1%89%11%
3.84
Siddharth Gupta
3W–2L career · no lines in 2024
7%92%1%
3.69
Paul Kwon
23W–15L career · no lines in 2024
15%85%<1%
3.63
4
Dorien Africa
13W–13L career · no lines in 2024
22%78%<1%
3.60
Sally Kim
9W–6L career · no lines in 2024
34%66%<1%
3.55
William Africa
15W–13L career · no lines in 2024
<1%66%34%
3.45
SCOTT PETTITT
12W–8L career · no lines in 2024
<1%70%30%
3.43
Sonia Whitfield
19W–13L career · no lines in 2024
<1%80%20%
3.39
3.5
Christine Fronczak
50W–39L career · no lines in 2024
1%90%10%
3.33
Katherine Sandell
16W–18L career · no lines in 2024
1%90%9%
3.33
3.5
Charles Grayson
4W–9L career · no lines in 2024
1%92%7%
3.31
3.5
Cathleen Ligman
10W–13L career · no lines in 2024
3%95%3%
3.25
3.5
Erinn O'Reilly
0W–2L career · no lines in 2024
not enough data
3.5
Corey Ebadat
10W–10L career · no lines in 2024
4%94%2%
3.23
Shawna Ballard
16W–14L career · no lines in 2024
35%65%<1%
3.05
3.5
Inna Cantor
6W–11L career · no lines in 2024
51%49%<1%
3.00
3
Elizabeth Hitchcock
11W–20L career · no lines in 2024
<1%72%28%
2.92
3
Anthony Guin
2W–1L career · no lines in 2024
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.