Teams

PLEASANTON CM8.5B

2022 COMBO · Men 8.5

11 players · average NTRP 4.20 / 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 →
Schedule7 played
W#1 DoublesOmar Ted Panugaling / Alan Chan vs Johnny Campos / Daniel Maidenberg6-4, 6-4
L#1 DoublesOmar Ted Panugaling / Alan Chan vs Parag Bhatt / Michael Attiyeh2-6, 2-6
2022-10-16vs Bay Club Fremont CM8.5ALost 01
L#2 DoublesSanjay Backliwal / Alan Chan vs Leigh Jackson / Chandrasekar Sankaranarayanan4-6, 6-7
2022-09-28vs SUNNYVALE MTC CM8.5DWon 10
W#1 DoublesAnand Vairavan / Alan Chan vs Mitch Hu / Justin Truong6-3, 6-3
2022-09-27vs DIAMOND HILLS CM8.5ALost 01
L#2 DoublesJack Farnstrom / Alan Chan vs Carlos Manuel / Moses Reyes1-6, 2-6
W#1 DoublesOmar Ted Panugaling / Alan Chan vs Thierry Dessange / Sebastien Boifort6-4, 6-2
2022-09-14vs SAN CARLOS TC/ARGUELLO PK CM8.5AWon 10
W#1 DoublesSanjay Backliwal / Alan Chan vs Evan Wong / Scott Jen6-3, 6-2
A tie can be incomplete. Tell us if someone is missing.
i
Grouped by tie — one fixture, several lines. A line shows only when a player on it is someone we have indexed, so an early-season tie for a newly-added team can look short. This also means the line count here will not match the header, which counts individual player appearances.

Flight standings for Men 8.5 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 3.85 estimated across 11 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.

4.20
Bryant Ung
published 4.5
4.09
Raj Khanna
published
4.06
Sanjay Backliwal
published
3.99
Hitendra Mishra
published 4.5
3.97
Peter Lowe
published
3.94
Dan Gullion
published 4
3.88
Rohith Pottabathni
published
3.75
Ritesh Bhandari
published
3.57
Christopher Lau
published 4
3.44
Selvam Doraisamy
published
3.42
Alan Chan
usually #1 Doubles 71%, also #2 Doubles 29% · published 4
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
Bryant Ung
0W–4L career · no lines in 2022
6%93%1%
4.20
Raj Khanna
2W–2L career · no lines in 2022
24%76%<1%
4.09
Sanjay Backliwal
10W–32L career · no lines in 2022
33%67%<1%
4.06
4.5
Hitendra Mishra
1W–3L career · no lines in 2022
52%48%<1%
3.99
Peter Lowe
21W–12L career · no lines in 2022
<1%59%41%
3.97
4
Dan Gullion
37W–25L career · no lines in 2022
<1%68%32%
3.94
Rohith Pottabathni
3W–6L career · no lines in 2022
83%17%<1%
3.88
Ritesh Bhandari
15W–8L career · no lines in 2022
3%95%3%
3.75
4
Christopher Lau
10W–14L career · no lines in 2022
30%70%<1%
3.57
Selvam Doraisamy
2W–3L career · no lines in 2022
69%31%<1%
3.44
4
Alan Chan
80W–67L career · 7 lines in 2022
74%26%<1%
3.42

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.