Teams

BAY CLUB COURTSIDE CM7.5A

2025 COMBO · Men 7.5

20 players · average NTRP 3.69 / 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 Men 7.5 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 3.61 estimated across 18 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.

3.92
Craig Cerbasi
published 4
3.92
Jerome Pons
usually #3 Doubles 100% · published
3.87
Wade Conklin
published
3.86
Dai Truong
published 4
3.84
Patrick Oakes
published
3.77
Robert Gosalvez
published
3.73
Lawrence Roseman
published
3.72
Rodney Wade
published
3.70
Mohammad Rastegar
published
3.66
Daniel Coleman
published 4
3.55
Yu Sun
usually #1 Doubles 67%, also #2 Doubles 33% · published
3.53
Gary Cunningham
published 3.5
3.45
William Africa
published
3.35
Samuel Varghese
published
3.35
Roger Smullen
published
3.26
Sanjay Vadlamani
published
Biju Nair
published 3.5
Domenico Azzollini
published 3.5
3.25
Ahmer Khan
published 3.5
3.23
Corey Ebadat
published 3.5
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 + Rodney Wade4456% games+14.8% vs expected
Patrick Oakes + Craig Cerbasi224 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
Craig Cerbasi
13W–6L career · no lines in 2025
<1%73%27%
3.92
Jerome Pons
41W–12L career · 1 line in 2025
<1%74%26%
3.92
Wade Conklin
19W–19L career · no lines in 2025
<1%85%15%
3.87
4
Dai Truong
17W–9L career · no lines in 2025
<1%85%15%
3.86
Patrick Oakes
25W–22L career · no lines in 2025
<1%89%11%
3.84
Robert Gosalvez
12W–10L career · no lines in 2025
2%94%4%
3.77
Lawrence Roseman
9W–7L career · no lines in 2025
4%94%2%
3.73
Rodney Wade
29W–22L career · no lines in 2025
4%94%2%
3.72
Mohammad Rastegar
4W–3L career · no lines in 2025
6%93%1%
3.70
4
Daniel Coleman
1W–4L career · no lines in 2025
10%89%<1%
3.66
Yu Sun
20W–12L career · 3 lines in 2025
<1%35%65%
3.55
3.5
Gary Cunningham
17W–9L career · no lines in 2025
<1%41%59%
3.53
William Africa
15W–13L career · no lines in 2025
<1%66%34%
3.45
Samuel Varghese
2W–6L career · no lines in 2025
<1%86%13%
3.35
Roger Smullen
14W–6L career · no lines in 2025
<1%87%13%
3.35
Sanjay Vadlamani
6W–6L career · no lines in 2025
2%94%3%
3.26
3.5
Biju Nair
0W–3L career · no lines in 2025
not enough data
3.5
Domenico Azzollini
no matches on record · no lines in 2025
not enough data
3.5
Ahmer Khan
8W–11L career · no lines in 2025
3%95%3%
3.25
3.5
Corey Ebadat
10W–10L career · no lines in 2025
4%94%2%
3.23

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.