Teams

BAY CLUB SANTA CLARA 18AM4.5B

2022 ADULT 18&Over · Men's 4.5

14 players · average NTRP 4.17 / 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 4.5 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 3.99 estimated across 13 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.

4.29
Carlos Basto
published 4.5
4.25
Minal Mishra
published
4.24
Kevin Margo
published
4.24
John Rongxiang Hu
published
4.16
Eugene Trilesnik
published 4.5
4.11
Jay Saddler
published
4.04
Grant Wollen
published 4
3.92
Thiruvarun Ganesan
published
3.92
Todd H Waibel
published
3.86
Dai Truong
published 4
3.69
Siddharth Gupta
published
3.65
Gautham Arumugam
published 4
3.48
Dave Blaha
published 4
Mike Koval
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.

4.5
Carlos Basto
8W–5L career · no lines in 2022
1%93%5%
4.29
Minal Mishra
9W–8L career · no lines in 2022
3%95%3%
4.25
Kevin Margo
19W–19L career · no lines in 2022
3%95%2%
4.24
John Rongxiang Hu
2W–12L career · no lines in 2022
3%94%2%
4.24
4.5
Eugene Trilesnik
9W–4L career · no lines in 2022
11%89%<1%
4.16
Jay Saddler
13W–21L career · no lines in 2022
21%79%<1%
4.11
4
Grant Wollen
14W–3L career · no lines in 2022
<1%38%62%
4.04
Thiruvarun Ganesan
2W–1L career · no lines in 2022
<1%73%27%
3.92
Todd H Waibel
22W–20L career · no lines in 2022
<1%73%27%
3.92
4
Dai Truong
17W–9L career · no lines in 2022
<1%85%15%
3.86
Siddharth Gupta
3W–2L career · no lines in 2022
7%92%1%
3.69
4
Gautham Arumugam
0W–8L career · no lines in 2022
12%88%<1%
3.65
4
Dave Blaha
1W–9L career · no lines in 2022
56%44%<1%
3.48
Mike Koval
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.