Teams

BAY CLUB SF TENNIS CM7.5A

2022 COMBO · Men 7.5

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 7.5 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 3.59 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.

4.30
Geoffrey Gerding
published 4.5
3.88
Peilun Shan
published 4
3.83
Jeremy Ong
published 4
3.79
Alejandro Madrid
published 4
Gokul Suresh
published 4
3.74
Aref El Natour
published 4
3.71
Boo Yong Ahn
published 4
3.64
Janum Trivedi
published
3.58
Olivier Jorda
published
3.58
Matt Dveirin
published
3.43
Russ Iwanchuk
published
3.31
Miquel Banket
published
3.29
Eric Debbane
published 3.5
3.10
Timothy Tuttle
published
3.06
Matthew Cooney
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.

Matt Dveirin + Russ Iwanchuk134 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.

4.5
Geoffrey Gerding
13W–11L career · no lines in 2022
1%92%7%
4.30
4
Peilun Shan
42W–17L career · no lines in 2022
<1%81%19%
3.88
4
Jeremy Ong
4W–10L career · type S · no lines in 2022
1%90%10%
3.83
4
Alejandro Madrid
2W–1L career · no lines in 2022
1%93%6%
3.79
4
Gokul Suresh
25W–16L career · no lines in 2022
not enough data
4
Aref El Natour
13W–20L career · no lines in 2022
3%94%2%
3.74
4
Boo Yong Ahn
3W–4L career · no lines in 2022
5%93%1%
3.71
Janum Trivedi
2W–2L career · no lines in 2022
14%85%<1%
3.64
Olivier Jorda
1W–7L career · no lines in 2022
28%72%<1%
3.58
Matt Dveirin
14W–9L career · no lines in 2022
<1%28%72%
3.58
Russ Iwanchuk
17W–16L career · no lines in 2022
<1%70%30%
3.43
Miquel Banket
0W–6L career · no lines in 2022
93%7%<1%
3.31
3.5
Eric Debbane
7W–22L career · no lines in 2022
1%93%6%
3.29
Timothy Tuttle
7W–12L career · no lines in 2022
23%77%<1%
3.10
Jesus Ramirez-Valles
0W–3L career · no lines in 2022
33%67%<1%
3.06
Matthew Cooney
0W–2L 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.