Teams

BAY CLUB SF TENNIS 18AM4.5B

2024 ADULT 18&Over · Men's 4.5

18 players · average NTRP 4.30 / 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 4.5 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 4.08 estimated across 16 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.

4.36
Dongkeun Lee
published
4.36
Ryan Stark
published
4.28
Geoffrey Gerding
published
4.28
Brett Markowitz
published 4.5
4.26
Paul Sampognaro
published
4.24
Nikil Pancha
published
4.23
Brijen Thananjeyan
published 4.5
4.21
Baxter Stein
published 4.5
4.19
Patrick Friscia
published
4.17
Matthew Fitzburgh
published
4.08
Lawrence Coburn
published
4.01
Diego Sabaris
published 4
3.90
Matthew Sutherland
published
Arun Desai
published 4
3.72
Gregory Rojas
published
3.59
Seth Socolow
published
3.42
Nikhil Desai
published
Jayon Wang
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.

Gregory Rojas + Lawrence Coburn3357% games+6.9% vs expected
Geoffrey Gerding + Lawrence Coburn5454% games+6.5% vs expected
Matthew Fitzburgh + Nikil Pancha123 matchesnot enough data
Diego Sabaris + Lawrence Coburn213 matchesnot enough data
Lawrence Coburn + Seth Socolow213 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.

Dongkeun Lee
7W–3L career · no lines in 2024
<1%83%16%
4.36
Ryan Stark
5W–1L career · no lines in 2024
no projection at this level
4.36
Geoffrey Gerding
13W–11L career · no lines in 2024
2%92%6%
4.28
4.5
Brett Markowitz
7W–6L career · no lines in 2024
2%92%6%
4.28
Paul Sampognaro
5W–2L career · no lines in 2024
3%93%4%
4.26
Nikil Pancha
3W–3L career · no lines in 2024
5%92%3%
4.24
4.5
Brijen Thananjeyan
2W–3L career · no lines in 2024
5%92%3%
4.23
4.5
Baxter Stein
1W–4L career · no lines in 2024
6%92%2%
4.21
Patrick Friscia
9W–4L career · no lines in 2024
9%90%1%
4.19
Matthew Fitzburgh
5W–4L career · no lines in 2024
11%88%1%
4.17
Lawrence Coburn
35W–18L career · no lines in 2024
<1%27%73%
4.08
4
Diego Sabaris
30W–11L career · no lines in 2024
<1%48%52%
4.01
Matthew Sutherland
6W–5L career · no lines in 2024
<1%77%23%
3.90
4
Arun Desai
1W–0L career · no lines in 2024
not enough data
Gregory Rojas
8W–13L career · no lines in 2024
6%92%2%
3.72
Seth Socolow
4W–7L career · no lines in 2024
26%74%<1%
3.59
Nikhil Desai
3W–9L career · no lines in 2024
72%28%<1%
3.42
Jayon Wang
2W–1L career · no lines in 2024
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.