Teams

RINCONADA PK CM9.5A

2022 COMBO · Men 9.5

18 players · average NTRP 4.50 / 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 9.5 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 4.21 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.

4.69
4.65
Drew Pearson
published 5
4.59
Rohit Jayakar
published
4.44
Rahul Perhar
published
4.37
Aneil Kamboj
published 4.5
4.30
Matt Lin
published
4.22
Pinoe Chu
published 4.5
4.21
Eugene Bellin
published 4.5
4.14
Johannes Knueppel
published
4.09
Clayton Northey
published 4.5
4.02
Eli Sheynin
published 4.5
3.98
Gene Cherng
published 4
3.96
Aroop Ganguly
published 4.5
3.93
Sumant Kowshik
published
3.92
Mike Alcheck
published
3.81
Andrew Lu
published 4
Ramu Arunachalam
published
Yiliu 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.

Eli Sheynin + Mike Alcheck134 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.

5
Conor Holton-Burke
5W–1L career · no lines in 2022
7%92%1%
4.69
5
Drew Pearson
0W–3L career · no lines in 2022
13%87%<1%
4.65
Rohit Jayakar
1W–2L career · no lines in 2022
25%75%<1%
4.59
Rahul Perhar
2W–6L career · no lines in 2022
67%33%<1%
4.44
4.5
Aneil Kamboj
11W–6L career · no lines in 2022
<1%84%15%
4.37
Matt Lin
8W–7L career · no lines in 2022
1%93%6%
4.30
4.5
Pinoe Chu
22W–19L career · no lines in 2022
5%94%1%
4.22
4.5
Eugene Bellin
3W–2L career · no lines in 2022
5%93%1%
4.21
Johannes Knueppel
10W–7L career · no lines in 2022
15%85%<1%
4.14
4.5
Clayton Northey
2W–8L career · no lines in 2022
24%76%<1%
4.09
4.5
Eli Sheynin
6W–12L career · no lines in 2022
43%57%<1%
4.02
4
Gene Cherng
8W–9L career · no lines in 2022
<1%55%45%
3.98
4.5
Aroop Ganguly
1W–3L career · no lines in 2022
63%37%<1%
3.96
Sumant Kowshik
12W–12L career · no lines in 2022
<1%70%30%
3.93
Mike Alcheck
4W–9L career · no lines in 2022
74%26%<1%
3.92
4
Andrew Lu
18W–8L career · no lines in 2022
1%92%7%
3.81
Ramu Arunachalam
2W–3L career · no lines in 2022
not enough data
Yiliu Wang
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.