Teams

LOS GATOS SR 18AM4.0A

2022 ADULT 18&Over · Men's 4.0

16 players · average NTRP 4.05 / 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 →
Schedule3 played
2022-06-02Won 10
W#3 DoublesCarlos Ferreira / Sanjay Khatri vs Mahesh Bhoothapuri / Jim Harper6-3, 6-0
2022-05-19Lost 01
L#3 DoublesCarlos Ferreira / Bruce Lippmann vs David Alexander / Larry Nardi6-7, 4-6
2022-05-05vs EVERGREEN VALLEY COLLEGE 18AW4.0ALost 01
L#2 DoublesCarlos Ferreira / Isy Goldwasser vs Niyaz Ahamed / Johnny Sendejo6-7, 6-7
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 4.0 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 3.78 estimated across 15 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
Benjamin Tolerba
published 4.5
3.92
Eric Flint
published 4
3.88
Michael Post
published
3.86
3.86
Isy Goldwasser
published 4
3.83
Bruno Vitali
published 4
3.82
Neil Jarvis
published
3.81
Prashanth Ramdas
published
3.80
Jim Wedell
published
3.77
Abhishek Bisht
published 4
3.70
3.65
Carlos Ferreira
usually #3 Doubles 67%, also #2 Doubles 33% · published 4
3.60
Bruce Lippmann
published 4
3.58
Sanjay Khatri
published
3.45
Bob Lain
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
Benjamin Tolerba
12W–13L career · no lines in 2022
6%93%1%
4.20
4
Eric Flint
1W–3L career · no lines in 2022
<1%73%27%
3.92
Michael Post
19W–11L career · no lines in 2022
<1%82%18%
3.88
Rajasundaram Rajasekaran
24W–19L career · no lines in 2022
<1%86%14%
3.86
4
Isy Goldwasser
5W–4L career · no lines in 2022
<1%86%13%
3.86
4
Bruno Vitali
11W–15L career · no lines in 2022
1%90%10%
3.83
Neil Jarvis
17W–8L career · no lines in 2022
1%91%8%
3.82
Prashanth Ramdas
1W–3L career · no lines in 2022
1%92%7%
3.81
Jim Wedell
10W–6L career · no lines in 2022
1%93%6%
3.80
4
Christopher Vivian
12W–6L career · no lines in 2022
2%94%4%
3.77
4
Abhishek Bisht
0W–2L career · type A · no lines in 2022
not enough data
4
Gabriele Dipiazza
5W–17L career · no lines in 2022
6%93%1%
3.70
4
Carlos Ferreira
21W–21L career · 3 lines in 2022
12%88%<1%
3.65
4
Bruce Lippmann
5W–10L career · no lines in 2022
23%77%<1%
3.60
Sanjay Khatri
3W–3L career · no lines in 2022
28%72%<1%
3.58
4
Bob Lain
3W–13L career · no lines in 2022
66%34%<1%
3.45

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.