Teams

Walnut Creek TC 18AM4.5A

2022 ADULT 18&Over · Men's 4.5

19 players · average NTRP 4.31 / 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 →
Schedule2 played
2022-06-09Won 10
W#2 SinglesAlan Chan vs N/A6-0, 6-0
2022-04-24vs MORAGA CC 18AM4.5ALost 01
L#3 DoublesAlan Chan / Arnab Sinha vs Amit Ranade / Scott Coane3-6, 7-6, 0-1
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'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 3.93 estimated across 17 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.

4.41
Kai Wills
published
4.31
Debashis Panda
published 4.5
Brandon Morning
published 4.5
Cameron Larner
published 4.5
4.17
Joseph Barnes
published
4.12
Brian R Wills
published 4.5
4.12
Ryan Lehmer
published
4.11
Michael Attiyeh
published
4.06
Sanjay Backliwal
published
4.03
Harish Natarajan
published 4.5
3.94
Jonathan Maze
published
3.92
Jeffrey Magidson
published
3.90
Parag Bhatt
published
3.70
Manish Singh
published
3.67
Walt Jefferson
published
3.66
Paul Lizama
published
3.63
James Ryan
published 4
3.57
Christopher Lau
published 4
3.42
Alan Chan
usually #1 Doubles 36%, also #3 Doubles 36% · published 4
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.

Sanjay Backliwal + Harish Natarajan2343% games−8.3% vs expected
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.

Kai Wills
1W–2L career · no lines in 2022
75%25%<1%
4.41
4.5
Debashis Panda
5W–5L career · no lines in 2022
1%92%8%
4.31
4.5
Brandon Morning
0W–1L career · no lines in 2022
not enough data
4.5
Cameron Larner
1W–1L career · no lines in 2022
not enough data
Joseph Barnes
2W–5L career · no lines in 2022
9%90%1%
4.17
4.5
Brian R Wills
11W–12L career · no lines in 2022
18%81%<1%
4.12
Ryan Lehmer
13W–3L career · no lines in 2022
18%81%<1%
4.12
Michael Attiyeh
9W–22L career · no lines in 2022
19%80%<1%
4.11
Sanjay Backliwal
10W–32L career · no lines in 2022
33%67%<1%
4.06
4.5
Harish Natarajan
15W–12L career · no lines in 2022
41%59%<1%
4.03
Jonathan Maze
13W–4L career · no lines in 2022
68%32%<1%
3.94
Jeffrey Magidson
11W–3L career · no lines in 2022
<1%72%28%
3.92
Parag Bhatt
4W–4L career · no lines in 2022
<1%77%23%
3.90
Manish Singh
15W–15L career · no lines in 2022
6%93%1%
3.70
Walt Jefferson
0W–4L career · no lines in 2022
99%1%<1%
3.67
Paul Lizama
3W–15L career · no lines in 2022
11%88%<1%
3.66
4
James Ryan
11W–16L career · no lines in 2022
15%85%<1%
3.63
4
Christopher Lau
10W–14L career · no lines in 2022
30%70%<1%
3.57
4
Alan Chan
80W–67L career · 11 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.