Teams

CUPERTINO TC/CUPERTINO SC CM8.5A

2022 COMBO · Men 8.5

15 players · average NTRP 4.10 / 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 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 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
4.25
Piyush Lakhawat
published
4.22
Angelo Domingo
published 4.5
4.02
Yu Horie
published
3.88
Michel Pedreno
published
3.83
Hank Wang
published 4
3.77
Larry Lessler
published
3.71
Robert Young
published
3.69
Devin Donnelly
published 4
3.62
Arjun Ghatak
published 4
3.55
Deepu Talla
published 4
3.54
Kumar Kandaswamy
published
3.52
Stephen Spray
published
Ravi Shankar
published
Tiang Khoo
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.

Hank Wang + Devin Donnelly2344% games+4.5% vs expected
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
Piyush Lakhawat
19W–19L career · no lines in 2022
3%95%3%
4.25
4.5
Angelo Domingo
0W–3L career · no lines in 2022
4%94%2%
4.22
Yu Horie
6W–8L career · no lines in 2022
44%56%<1%
4.02
Michel Pedreno
2W–5L career · no lines in 2022
82%18%<1%
3.88
4
Hank Wang
6W–19L career · no lines in 2022
1%90%10%
3.83
Larry Lessler
26W–17L career · no lines in 2022
2%94%4%
3.77
Robert Young
5W–12L career · no lines in 2022
5%93%1%
3.71
4
Devin Donnelly
10W–33L career · no lines in 2022
8%92%1%
3.69
4
Arjun Ghatak
7W–11L career · no lines in 2022
18%82%<1%
3.62
4
Deepu Talla
0W–3L career · no lines in 2022
34%66%<1%
3.55
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
Ravi Shankar
1W–1L 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.