Teams

SAN CARLOS TC/ARGUELLO PK 18AM4.0A

2023 ADULT 18&Over · Men's 4.0

16 players · average NTRP 4.00 / 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 3.71 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.

4.18
Theo Novak
published
4.04
3.98
Kuan Chang
published
3.97
3.92
3.79
Humberto Melara
published 4
Andrew Hall
published 4
3.71
3.69
Devin Donnelly
published 4
3.66
Bryan Tom
published 4
3.49
Tom Chiang
published
3.47
Evan Lee
published 4
3.39
Jay Wu
published
3.37
Stephen Lew
published
3.29
Derrick Contreras
published 3.5
Layne Miao
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.

Theo Novak + Daniel Lloyd Pias123 matchesnot enough data
Andrew Hall + Jay Wu303 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.

Theo Novak
21W–10L career · no lines in 2023
8%91%1%
4.18
4.5
Estanislau Auge Pujadas
2W–6L career · no lines in 2023
39%61%<1%
4.04
Kuan Chang
13W–16L career · no lines in 2023
55%45%<1%
3.98
4
Daniel Lloyd Pias
11W–14L career · type A · no lines in 2023
<1%59%41%
3.97
4
Arunangshu Chakrabarty
31W–17L career · no lines in 2023
<1%74%26%
3.92
4
Humberto Melara
4W–6L career · no lines in 2023
1%94%5%
3.79
4
Andrew Hall
3W–0L career · no lines in 2023
not enough data
Yong Thittayawarawat
6W–9L career · no lines in 2023
5%94%1%
3.71
4
Devin Donnelly
10W–33L career · no lines in 2023
8%92%1%
3.69
4
Bryan Tom
6W–6L career · no lines in 2023
10%89%<1%
3.66
Tom Chiang
8W–6L career · no lines in 2023
53%47%<1%
3.49
4
Evan Lee
3W–9L career · no lines in 2023
60%40%<1%
3.47
Jay Wu
5W–1L career · no lines in 2023
<1%79%21%
3.39
Stephen Lew
4W–4L career · no lines in 2023
<1%84%16%
3.37
3.5
Derrick Contreras
14W–16L career · no lines in 2023
1%93%6%
3.29
Layne Miao
1W–0L career · no lines in 2023
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.