Teams

BAY CLUB SANTA CLARA 18MX8.0A

2022 MIXED 18&Over · 18&Over MX8.0

16 players · average NTRP 3.86 / 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 18&Over MX8.0 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 3.74 estimated across 15 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.

4.30
Randy Becker
published
4.24
Kevin Margo
published
4.14
Kelly Uyema
published
3.89
Darren Hom
published 4
3.88
Sujuan Li
published
3.86
Dai Truong
published 4
3.78
Lisa Backus
published
3.69
Siddharth Gupta
published
3.65
Gautham Arumugam
published 4
3.63
Samprith Kalakata
published
3.61
Ella Wu
published 4
3.60
Dorien Africa
published 4
3.45
Akrit Mohapatra
published 3.5
3.25
Pooja Tendulkar
published
3.16
Elizabeth Au
published 3.5
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.

Randy Becker
16W–10L career · no lines in 2022
1%93%6%
4.30
Kevin Margo
19W–19L career · no lines in 2022
3%95%2%
4.24
Kelly Uyema
18W–19L career · no lines in 2022
14%86%<1%
4.14
4
Darren Hom
11W–6L career · no lines in 2022
<1%80%20%
3.89
Sujuan Li
4W–2L career · no lines in 2022
<1%83%17%
3.88
4
Dai Truong
17W–9L career · no lines in 2022
<1%85%15%
3.86
Lisa Backus
56W–20L career · no lines in 2022
2%94%5%
3.78
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
Samprith Kalakata
4W–1L career · no lines in 2022
15%84%<1%
3.63
4
Ella Wu
16W–21L career · no lines in 2022
19%81%<1%
3.61
4
Dorien Africa
13W–13L career · no lines in 2022
22%78%<1%
3.60
3.5
Akrit Mohapatra
5W–1L career · no lines in 2022
<1%64%36%
3.45
Pooja Tendulkar
6W–6L career · no lines in 2022
3%95%3%
3.25
3.5
Elizabeth Au
0W–3L career · no lines in 2022
11%89%<1%
3.16
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.