Teams

UNIVERSITY CLUB PA 40MX7.0A

2022 MIXED 40&Over · 40&Over MX7.0

19 players · average NTRP 3.80 / 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 3.45 estimated across 17 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.

3.90
Tom Brehme
published
3.84
Alexandra Olsen
published 4
3.83
Bruno Vitali
published 4
Alain Boussard
published 4
3.68
Elisabeth Dutton
published 4
3.65
3.63
Dinraj Shetty
published 4
3.53
Michele Wang
published
3.52
Max Cheng
published
3.52
Rebecca Fox
published
3.39
Susan Stark
published
3.39
Bradford Meiseles
published 3.5
3.27
Elizabeth Olson
published 3.5
3.25
Karelle Celestin
published
3.21
Amit Sridharan
published 3.5
3.16
Jerry Scher
published
3.12
Bill Somers
published 3.5
2.78
Lisa McKenna
published
Joel Brown
published
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.

Tom Brehme
13W–11L career · no lines in 2022
77%23%<1%
3.90
4
Alexandra Olsen
9W–13L career · no lines in 2022
<1%89%10%
3.84
4
Bruno Vitali
11W–15L career · no lines in 2022
1%90%10%
3.83
4
Alain Boussard
0W–2L career · type S · no lines in 2022
not enough data
4
Elisabeth Dutton
3W–6L career · no lines in 2022
9%91%1%
3.68
4
Colleen Backstrand
21W–20L career · no lines in 2022
13%87%<1%
3.65
4
Dinraj Shetty
6W–11L career · no lines in 2022
15%85%<1%
3.63
Michele Wang
21W–16L career · no lines in 2022
<1%40%60%
3.53
Max Cheng
14W–5L career · no lines in 2022
<1%44%56%
3.52
Rebecca Fox
4W–7L career · no lines in 2022
45%55%<1%
3.52
Susan Stark
13W–22L career · no lines in 2022
<1%79%21%
3.39
3.5
Bradford Meiseles
11W–12L career · no lines in 2022
<1%81%19%
3.39
3.5
Elizabeth Olson
30W–12L career · no lines in 2022
2%94%4%
3.27
Karelle Celestin
15W–6L career · no lines in 2022
3%95%3%
3.25
3.5
Amit Sridharan
5W–11L career · no lines in 2022
5%94%1%
3.21
Jerry Scher
3W–4L career · no lines in 2022
11%88%<1%
3.16
3.5
Bill Somers
1W–6L career · no lines in 2022
17%83%<1%
3.12
Lisa McKenna
1W–13L career · no lines in 2022
96%4%<1%
2.78
Joel Brown
0W–1L career · no lines in 2022
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.