Teams

SAN PABLO PK CM9.5A

2022 COMBO · Men 9.5

16 players · average NTRP 4.58 / 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 4.25 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.

4.77
Gal Szekely
published 5
4.66
Minh Luu
published
4.55
Cory Vastola
published 5
4.42
Umair Qayyum
published
4.34
Arjun Rihan
published 4.5
4.20
Bryant Ung
published 4.5
4.20
Kaisen Chen
published
4.18
Kian Ong
published
4.13
Elliott Nguyen
published 4.5
4.10
Jason Manalac
published
4.09
Michael Nathe
published
4.09
Phil Beilin
published
4.09
Raj Khanna
published
3.73
Dillon Braud
published 4
Samuel Kidane
published
Yoram Tal
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.

Arjun Rihan + Michael Nathe303 matchesnot enough data
Minh Luu + Cory Vastola213 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
Gal Szekely
2W–1L career · type S · no lines in 2022
2%94%4%
4.77
Minh Luu
2W–5L career · no lines in 2022
10%89%<1%
4.66
5
Cory Vastola
3W–5L career · no lines in 2022
36%64%<1%
4.55
Umair Qayyum
1W–2L career · no lines in 2022
72%28%<1%
4.42
4.5
Arjun Rihan
13W–7L career · no lines in 2022
<1%89%10%
4.34
4.5
Bryant Ung
0W–4L career · no lines in 2022
6%93%1%
4.20
Kaisen Chen
16W–6L career · no lines in 2022
6%93%1%
4.20
Kian Ong
9W–11L career · no lines in 2022
8%91%1%
4.18
4.5
Elliott Nguyen
1W–2L career · no lines in 2022
16%83%<1%
4.13
Jason Manalac
2W–2L career · no lines in 2022
21%78%<1%
4.10
Michael Nathe
7W–2L career · no lines in 2022
24%76%<1%
4.09
Phil Beilin
1W–5L career · no lines in 2022
24%76%<1%
4.09
Raj Khanna
2W–2L career · no lines in 2022
24%76%<1%
4.09
4
Dillon Braud
4W–3L career · type A · no lines in 2022
4%94%2%
3.73
Samuel Kidane
0W–1L career · no lines in 2022
not enough data
Yoram Tal
1W–1L 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.