Teams

BAY CLUB SANTA CLARA CM8.5A

2025 COMBO · Men 8.5

16 players · average NTRP 4.12 / 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 →
Schedule1 played
2025-09-16vs LOS ALTOS GCC CM8.5AWon 10
W#1 DoublesRanjit Deshpande / An-Vincent Nguyen vs Oliver Zhao / Vatsal Shah7-6, 6-4
A tie can be incomplete. Tell us if someone is missing.
i
Grouped by tie — one fixture, several lines. A line shows only when a player on it is someone we have indexed, so an early-season tie for a newly-added team can look short. This also means the line count here will not match the header, which counts individual player appearances.

Flight standings for Men 8.5 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 3.84 estimated across 16 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.

4.31
Paul Liu
published
4.17
Chandrasekar Sankaranarayanan
usually #3 Doubles 100% · published 4.5
4.16
Ranjit Deshpande
usually #1 Doubles 100% · published
4.01
Lionel Yang
published
3.96
An-Vincent Nguyen
usually #1 Doubles 100% · published 4
3.87
Ryan Low
usually #1 Doubles 75%, also #3 Doubles 25% · published
3.82
Chuong Truong
published 4
3.81
Jerome Pons
usually #3 Doubles 50%, also #1 Doubles 50% · published
3.80
Joseph Huang
usually #1 Doubles 50%, also #2 Doubles 50% · published
3.80
Chuo-Yun Yang
usually #3 Doubles 100% · published 4
3.79
Rajeev Prasad
published
3.75
Wade Conklin
usually #1 Doubles 100% · published
3.67
Jair Saavedra
usually #1 Doubles 100% · published
3.63
Paul Kwon
usually #1 Doubles 83%, also #3 Doubles 17% · published
3.49
Spencer Huang
usually #2 Doubles 100% · published
3.32
Kevin Fu
usually #1 Doubles 33%, also #2 Doubles 33% · 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.

Ryan Low + Paul Kwon4160% gamesnot enough data
Jair Saavedra + Spencer Huang123 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.

Paul Liu
28W–18L career · no lines in 2025
1%90%9%
4.31
4.5
Chandrasekar Sankaranarayanan
20W–12L career · 1 line in 2025
12%88%1%
4.17
Ranjit Deshpande
10W–7L career · 1 line in 2025
13%86%1%
4.16
Lionel Yang
7W–11L career · no lines in 2025
47%53%<1%
4.01
4
An-Vincent Nguyen
15W–11L career · 1 line in 2025
<1%61%39%
3.96
Ryan Low
60W–11L career · 4 lines in 2025
<1%81%18%
3.87
4
Chuong Truong
21W–7L career · no lines in 2025
1%89%10%
3.82
Jerome Pons
42W–12L career · 2 lines in 2025
<1%1%99%
3.81
Joseph Huang
30W–8L career · 4 lines in 2025
1%90%8%
3.80
4
Chuo-Yun Yang
32W–19L career · 1 line in 2025
2%91%8%
3.80
Rajeev Prasad
7W–5L career · no lines in 2025
2%91%7%
3.79
Wade Conklin
20W–19L career · 1 line in 2025
<1%4%96%
3.75
Jair Saavedra
16W–16L career · 1 line in 2025
<1%11%89%
3.67
Paul Kwon
24W–16L career · 6 lines in 2025
19%81%<1%
3.63
Spencer Huang
8W–6L career · 1 line in 2025
54%46%<1%
3.49
Kevin Fu
5W–6L career · 3 lines in 2025
90%10%<1%
3.32

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.