Teams

EVERGREEN VALLEY COLLEGE 18AM4.0A

2025 ADULT 18&Over · Men's 4.0

18 players · average NTRP 3.75 / 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 →
Schedule1 played
L#2 DoublesDonald Kung / Sanjay Vadlamani vs Edward Moreno / Kevin Le6-7, 4-6
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 4.0 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 3.45 estimated across 18 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.

3.83
Don Taylor
published
3.81
Tajoe Lun
usually #1 Doubles 100% · published
3.74
Ken Cat Nguyen
published
3.65
Chen Yang
published 4
3.63
Wei Han
usually #2 Singles 100% · published
3.62
Qianyang Yu
usually #2 Doubles 100% · published
3.47
Pritpal Singh
published
3.42
Alex Nguyen
published 3.5
3.40
Raghavendra Rao
published
3.39
Rajaraman Karuppiah
published
3.35
3.35
Samuel Varghese
published
3.33
Sanjay Vadlamani
usually #2 Doubles 100% · published
3.25
Ken Leong
published
3.23
Lu Truong
published
3.21
Eljohn Alaban
published
3.18
Harsha Ramachandra
published
3.16
Johnny Sendejo
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.

Chen Yang + Wei Han123 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.

Don Taylor
8W–9L career · no lines in 2025
1%87%12%
3.83
Tajoe Lun
13W–5L career · 1 line in 2025
91%9%<1%
3.81
Ken Cat Nguyen
5W–4L career · no lines in 2025
4%93%3%
3.74
4
Chen Yang
5W–9L career · no lines in 2025
13%86%1%
3.65
Wei Han
11W–30L career · 1 line in 2025
18%81%<1%
3.63
Qianyang Yu
4W–5L career · 1 line in 2025
20%80%<1%
3.62
Pritpal Singh
1W–9L career · no lines in 2025
59%41%<1%
3.47
3.5
Alex Nguyen
5W–3L career · no lines in 2025
<1%71%29%
3.42
Raghavendra Rao
11W–8L career · no lines in 2025
<1%77%23%
3.40
Rajaraman Karuppiah
1W–8L career · no lines in 2025
78%22%<1%
3.39
Paramasivan Palanisamy
8W–8L career · no lines in 2025
1%84%15%
3.35
Samuel Varghese
2W–6L career · no lines in 2025
1%84%15%
3.35
Sanjay Vadlamani
6W–7L career · 1 line in 2025
1%88%11%
3.33
Ken Leong
13W–13L career · no lines in 2025
4%93%3%
3.25
Lu Truong
2W–2L career · no lines in 2025
5%92%3%
3.23
Eljohn Alaban
7W–6L career · no lines in 2025
7%91%2%
3.21
Harsha Ramachandra
8W–13L career · no lines in 2025
10%89%1%
3.18
Johnny Sendejo
5W–10L career · no lines in 2025
12%87%1%
3.16

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.