Teams

RSankaran (Life Time)

2022 Adult 40 & Over League · 40 & Over Adult 4.0 Men - Tues PM

10 players · average NTRP 3.79 / NORTH CAROLINA

View scouting list →
Schedule7 played
2022-04-26vs TCastain/TYoung (Weddington)Split 11
L#1 SinglesZhen Zu vs Paul Sperry5-7, 0-6
W#3 DoublesBiju Nair / Bharath Bhaskar vs Daniel Marthinsen / Clayton Kent6-1, 6-2
2022-04-19vs BChandra (Charlotte Indoor)Split 11
L#1 SinglesZhen Zu vs Clayton Kennedy0-6, 2-6
W#2 DoublesBharath Bhaskar / Bob Hofmann vs Kibbee Reese / Rohit Vohra6-1, 6-2
2022-04-11vs DBrantmeyer (PLCC)Won 20
W#1 SinglesZhen Zu vs Brent Grayson3-6, 7-5, 1-0
W#2 DoublesBiju Nair / Bharath Bhaskar vs Dan Brantmeyer / Wesley Wright7-6, 3-6, 1-0
2022-03-22vs KMiller (Weddington)Lost 02
L#1 SinglesZhen Zu vs Premkumar Jagannathan5-7, 2-6
L#2 DoublesBharath Bhaskar / Rajesh Sankaran vs Patrick Murchison / Dean Sandbo2-6, 6-4, 0-1
2022-03-22vs JMarks (Providence CC)Lost 02
L#1 DoublesBharath Bhaskar / Bob Hofmann vs Christopher Webb / Alan DeKeukelaere3-6, 6-7
L#2 DoublesZhen Zu / Franklin Lim vs Jim Marks / Brad Jancek3-6, 6-4, 0-1
2022-03-01vs TCastain/TYoung (Weddington)Won 10
W#1 SinglesBharath Bhaskar vs Paul Sperry6-4, 6-3
2022-02-22vs BChandra (Charlotte Indoor)Won 10
W#1 DoublesZhen Zu / Bharath Bhaskar vs Bharath Chandra / Kibbee Reese7-5, 7-5
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 40 & Over Adult 4.0 Men - Tues PM 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 3.55 estimated across 6 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.

3.90
Bharath Bhaskar
usually #2 Doubles 43%, also #1 Doubles 29% · published 4
3.85
Bob Hofmann
published 4
Franklin Lim
published 4
3.74
Rajesh Sankaran
published 4
3.42
Zhen Zu
usually #1 Singles 67%, also #1 Doubles 17% · published 3.5
3.28
Jean-Paul Schoubert
published
Cameron Jones
published 3.5
3.12
David Joo
published 3.5
Iggy Levelev
published
Manu Sadanandan
published
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
Bharath Bhaskar
149W–60L career · 7 lines in 2022
<1%78%22%
3.90
4
Bob Hofmann
57W–35L career · no lines in 2022
<1%88%12%
3.85
4
Franklin Lim
5W–3L career · type A · no lines in 2022
not enough data
4
Rajesh Sankaran
72W–57L career · no lines in 2022
3%95%2%
3.74
3.5
Zhen Zu
47W–40L career · 6 lines in 2022
<1%74%26%
3.42
Jean-Paul Schoubert
0W–5L career · no lines in 2022
95%5%<1%
3.28
3.5
Cameron Jones
19W–6L career · no lines in 2022
not enough data
3.5
David Joo
6W–7L career · no lines in 2022
17%83%<1%
3.12
Iggy Levelev
1W–2L career · no lines in 2022
not enough data
Manu Sadanandan
1W–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.