Teams

CUPERTINO TC/CUPERTINO SC 18AM4.5A

2025 ADULT 18&Over · Men's 4.5

17 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 →
Schedule2 played
2025-05-23vs RINCONADA PK 18AM4.5DLost 01
L#3 DoublesBrian Wang / Yu Horie vs Daniel Lu / Allen Shih5-7, 4-6
2025-05-04vs SUNNYVALE MTC 18AM4.5CLost 01
L#1 SinglesNobuhiro Yanagisawa vs Hassaan Khawar2-6, 6-3, 0-1
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'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 4.00 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.

4.27
Natarajan Choodamani
usually #1 Doubles 100% · published
4.23
Piyush Lakhawat
usually #1 Doubles 50%, also #3 Doubles 25% · published
4.22
TARUN BHAGWAN
published
4.17
Nobuhiro Yanagisawa
usually #1 Singles 100% · published
4.09
Yu Horie
usually #3 Doubles 100% · published
4.00
Jeffrey Huang
published
4.00
Sanjay Rajaram
published
3.98
Keigan Pedreno
published
3.97
Jeffrey Liu
published
3.93
Bisong Tao
published 4
3.91
Anthony Brittis
published 4.5
3.86
Michel Pedreno
published
3.79
Hank Wang
published
3.52
Deepu Talla
published 4
Layne Miao
published
Prashanth Guduru
published
Ravi Shankar
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.

Jeffrey Huang + Yu Horie134 matchesnot enough data
Bisong Tao + Michel Pedreno213 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.

Natarajan Choodamani
8W–13L career · 1 line in 2025
3%92%5%
4.27
Piyush Lakhawat
19W–19L career · 4 lines in 2025
5%92%3%
4.23
TARUN BHAGWAN
5W–6L career · no lines in 2025
5%92%2%
4.22
Nobuhiro Yanagisawa
6W–8L career · 1 line in 2025
12%87%1%
4.17
Yu Horie
6W–8L career · 1 line in 2025
26%74%<1%
4.09
Jeffrey Huang
14W–9L career · no lines in 2025
<1%51%49%
4.00
Sanjay Rajaram
0W–3L career · no lines in 2025
51%49%<1%
4.00
Keigan Pedreno
2W–2L career · no lines in 2025
54%46%<1%
3.98
Jeffrey Liu
1W–6L career · no lines in 2025
59%41%<1%
3.97
4
Bisong Tao
11W–14L career · no lines in 2025
<1%70%30%
3.93
4.5
Anthony Brittis
3W–13L career · no lines in 2025
75%25%<1%
3.91
Michel Pedreno
2W–5L career · no lines in 2025
84%16%<1%
3.86
Hank Wang
8W–19L career · no lines in 2025
2%92%6%
3.79
4
Deepu Talla
0W–3L career · no lines in 2025
44%56%<1%
3.52
Layne Miao
1W–0L career · no lines in 2025
not enough data
Prashanth Guduru
1W–0L career · no lines in 2025
not enough data
Ravi Shankar
1W–1L career · no lines in 2025
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.