Teams

LA - MountainGate

2022 USTA MxD 40 & Over - LA · LA - 6.0 Mixed Doubles

10 players · average NTRP 3.20 / SO.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 →
Schedule6 played
2022-08-27vs LA - LATCLost 01
L#2 DoublesDaimon Ghazy / Cindy Shih vs Jim Hliboki / Beverly Gatica7-6, 5-7, 1-0
W#1 DoublesTomer DeVito / Cindy Shih vs Cesar Maldonado Saenz / Laura Branigan6-3, 6-3
2022-08-07vs LA-LLW- Kiss My Ace-Sylvia DSouzaLost 01
L#3 DoublesDaimon Ghazy / Shannon Malik vs Lucien Lacasse / Yoko Ogihara3-6, 7-5, 1-0
W#1 DoublesJamie Bertisch / Shannon Malik vs Jeffrey Blatt / Maria Starn7-6, 7-6
2022-07-23vs LA - LATCWon 10
W#1 DoublesKim Bajaj / Alec Nedelman vs Nicholas Leeds / MayLin Tao6-3, 4-6, 1-0
2022-07-09vs LA - LATCLost 01
L#1 DoublesBruce Hofert / Shannon Malik vs Jesse Dang / Karen Swerdlow3-6, 6-1, 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 LA - 6.0 Mixed Doubles 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 3.01 estimated across 7 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.

3.45
Shannon Malik
usually #1 Doubles 67%, also #3 Doubles 33% · published 3.5
3.20
Kim Bajaj
usually #1 Doubles 100% · published 3.5
3.16
Steven Price
published
2.90
Rahul Chhablani
published
2.86
2.79
Cindy Shih
usually #1 Doubles 50%, also #2 Doubles 50% · published 3
Bobbe Gilbert
published 3
2.70
Mark Troy
published
Leslie Wright
published
Lisa Kalin
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.

Kim Bajaj + Shannon Malik7457% games+2.6% vs expected
Cindy Shih + Shannon Malik4451% gamesnot enough data
Rahul Chhablani + Steven Price314 matchesnot enough data
Mark Troy + Steven Price123 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.

3.5
Shannon Malik
92W–41L career · 3 lines in 2022
<1%65%35%
3.45
3.5
Kim Bajaj
92W–30L career · 1 line in 2022
6%93%1%
3.20
Steven Price
13W–8L career · no lines in 2022
<1%11%89%
3.16
Rahul Chhablani
19W–18L career · no lines in 2022
<1%77%23%
2.90
3
Geraldine Farrell
11W–12L career · no lines in 2022
<1%86%14%
2.86
3
Cindy Shih
69W–99L career · 2 lines in 2022
1%93%6%
2.79
3
Bobbe Gilbert
0W–2L career · no lines in 2022
not enough data
Mark Troy
9W–15L career · no lines in 2022
6%93%1%
2.70
Leslie Wright
1W–3L career · no lines in 2022
not enough data
Lisa Kalin
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.