Teams

CUPERTINO TC/CUPERTINO SC 18AM4.0A

2022 ADULT 18&Over · Men's 4.0

17 players · average NTRP 3.80 / 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 3.65 estimated across 14 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
4.02
Yu Horie
published
3.87
Ken Morte
published
3.83
Hank Wang
published 4
3.71
Robert Young
published
3.67
Anand Maddur
published 4
3.62
Arjun Ghatak
published 4
3.54
Kumar Kandaswamy
published
3.52
Stephen Spray
published
3.52
Mao Gao
published
3.50
Reiji Hirayama
published
3.43
Dibyendu Sengupta
published 3.5
3.37
Albert Law
published 3.5
3.28
Yee Hew
published
Layne Miao
published
Prashanth Guduru
published
Tiang Khoo
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.

Natarajan Choodamani
8W–13L career · no lines in 2022
1%93%6%
4.29
Yu Horie
6W–8L career · no lines in 2022
44%56%<1%
4.02
Ken Morte
2W–1L career · no lines in 2022
<1%84%16%
3.87
4
Hank Wang
6W–19L career · no lines in 2022
1%90%10%
3.83
Robert Young
5W–12L career · no lines in 2022
5%93%1%
3.71
4
Anand Maddur
6W–5L career · no lines in 2022
10%89%<1%
3.67
4
Arjun Ghatak
7W–11L career · no lines in 2022
18%82%<1%
3.62
Kumar Kandaswamy
17W–18L career · no lines in 2022
37%63%<1%
3.54
Stephen Spray
18W–30L career · no lines in 2022
44%56%<1%
3.52
Mao Gao
12W–8L career · no lines in 2022
<1%45%55%
3.52
Reiji Hirayama
17W–8L career · no lines in 2022
<1%51%49%
3.50
3.5
Dibyendu Sengupta
11W–16L career · no lines in 2022
<1%69%31%
3.43
3.5
Albert Law
12W–15L career · no lines in 2022
<1%85%15%
3.37
Yee Hew
0W–3L career · no lines in 2022
96%4%<1%
3.28
Layne Miao
1W–0L career · no lines in 2022
not enough data
Prashanth Guduru
1W–0L career · no lines in 2022
not enough data
Tiang Khoo
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.