Teams

SAN CARLOS TC/ARGUELLO PK 18AM4.0A

2022 ADULT 18&Over · Men's 4.0

13 players · average NTRP 3.88 / 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 3.75 estimated across 12 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.

4.40
Tyler Nielson
published
3.92
3.87
3.86
Steven Helmer
published
3.77
Motilal Agrawal
published
3.77
Gregory Duquesne
published 4
3.72
Rick Truong
published
3.71
Mark Niu
published
3.65
Adam McDonald
published 4
3.61
Tom Metropoulos
published
3.47
Michael Foster
published
3.20
Don Sung
published 3.5
Kenneth Rado
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.

Adam McDonald + Maikel Garcia Despaigne3253% games+2.4% vs expected
Motilal Agrawal + Gregory Duquesne213 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.

Tyler Nielson
2W–2L career · no lines in 2022
<1%78%22%
4.40
4
Arunangshu Chakrabarty
31W–17L career · no lines in 2022
<1%74%26%
3.92
Maikel Garcia Despaigne
11W–7L career · no lines in 2022
<1%84%15%
3.87
Steven Helmer
14W–7L career · no lines in 2022
<1%85%15%
3.86
Motilal Agrawal
17W–15L career · no lines in 2022
2%94%4%
3.77
4
Gregory Duquesne
9W–15L career · no lines in 2022
2%94%4%
3.77
Rick Truong
15W–12L career · no lines in 2022
4%94%2%
3.72
Mark Niu
5W–8L career · no lines in 2022
6%93%1%
3.71
4
Adam McDonald
6W–4L career · no lines in 2022
13%87%<1%
3.65
Tom Metropoulos
1W–3L career · no lines in 2022
20%80%<1%
3.61
Michael Foster
6W–8L career · no lines in 2022
59%41%<1%
3.47
3.5
Don Sung
0W–24L career · no lines in 2022
6%93%1%
3.20
Kenneth Rado
2W–10L 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.