Teams

BAY CLUB SANTA CLARA 40AM4.0A

2025 ADULT 40&Over · Men's 4.0

17 players · average NTRP 4.00 / 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's 4.0 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 3.77 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.

3.98
3.96
Joe Liebeschuetz
published 4
3.95
Andrew Irish
published 4
3.94
Dan Gullion
usually #2 Doubles 100% · published 4
3.87
Ryan Low
published
3.85
Raj Talluri
published
3.83
Venkat Gajulapalli
published
3.81
Ming Ta
published
3.80
Ashok Anumandla
published 4
3.77
Piruz Fazeli
published
3.72
Rodney Wade
published
3.72
John Nakamura
published
3.70
UMER KHAN
published
3.65
Hal Kalechofsky
published 4
3.61
Joshua Spin
published
3.57
Patrick Hare
published
3.43
Peter Kuo
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.

Joe Liebeschuetz + Raj Talluri5070% gamesnot enough data
Dan Gullion + John Nakamura404 matchesnot enough data
Joshua Spin + Andrew Irish224 matchesnot enough data
Rodney Wade + Ashok Anumandla123 matchesnot enough data
John Nakamura + Ashok Anumandla303 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
An-Vincent Nguyen
15W–11L career · no lines in 2025
<1%55%45%
3.98
4
Joe Liebeschuetz
96W–64L career · no lines in 2025
<1%62%38%
3.96
4
Andrew Irish
18W–8L career · no lines in 2025
<1%64%36%
3.95
4
Dan Gullion
37W–25L career · 1 line in 2025
<1%68%32%
3.94
Ryan Low
59W–10L career · no lines in 2025
<1%84%16%
3.87
Raj Talluri
19W–6L career · no lines in 2025
<1%87%12%
3.85
Venkat Gajulapalli
9W–10L career · no lines in 2025
1%89%10%
3.83
Ming Ta
15W–3L career · no lines in 2025
1%92%8%
3.81
4
Ashok Anumandla
18W–11L career · no lines in 2025
1%93%6%
3.80
Piruz Fazeli
3W–1L career · no lines in 2025
2%94%4%
3.77
Rodney Wade
29W–22L career · no lines in 2025
4%94%2%
3.72
John Nakamura
30W–8L career · no lines in 2025
5%94%2%
3.72
UMER KHAN
5W–1L career · no lines in 2025
7%92%1%
3.70
4
Hal Kalechofsky
5W–14L career · no lines in 2025
13%87%<1%
3.65
Joshua Spin
6W–8L career · no lines in 2025
20%80%<1%
3.61
Patrick Hare
6W–9L career · no lines in 2025
30%70%<1%
3.57
Peter Kuo
12W–12L career · no lines in 2025
71%29%<1%
3.43

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.