Teams

PLEASANTON 40MX9.0A

2023 MIXED 40&Over · 40&Over MX9.0

17 players · average NTRP 4.25 / 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 →

Flight standings for 40&Over MX9.0 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 3.97 estimated across 14 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.

4.48
Craig Lazarchik
published 4.5
4.15
Fion Cho
published
4.13
Teddy Handoko
published
3.98
Holli Strain
published
3.96
Neeraj Sharma
published
3.95
Jennie Kessinger
published
3.95
Jaime Santos
published
3.95
Julianne Gee
published
3.92
Ellen Low
published
3.87
Kathryn Aguilar
published
3.87
Marty Gee
published
3.83
Wayne Leong
published
3.75
Shin Koo
published
3.73
Arnold Soleta
published 4
Mi Qi
published
Nghia Duong
published
Stacey Huang
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.

4.5
Craig Lazarchik
10W–8L career · no lines in 2023
<1%55%45%
4.48
Fion Cho
11W–13L career · no lines in 2023
14%86%1%
4.15
Teddy Handoko
10W–6L career · no lines in 2023
17%83%<1%
4.13
Holli Strain
11W–13L career · no lines in 2023
55%45%<1%
3.98
Neeraj Sharma
6W–16L career · no lines in 2023
62%38%<1%
3.96
Jennie Kessinger
5W–11L career · no lines in 2023
63%37%<1%
3.95
Jaime Santos
23W–13L career · no lines in 2023
64%36%<1%
3.95
Julianne Gee
7W–9L career · no lines in 2023
65%35%<1%
3.95
Ellen Low
5W–9L career · no lines in 2023
71%29%<1%
3.92
Kathryn Aguilar
12W–18L career · no lines in 2023
83%17%<1%
3.87
Marty Gee
15W–10L career · no lines in 2023
<1%82%17%
3.87
Wayne Leong
11W–9L career · no lines in 2023
1%87%12%
3.83
Shin Koo
4W–13L career · no lines in 2023
96%4%<1%
3.75
4
Arnold Soleta
7W–13L career · no lines in 2023
5%92%3%
3.73
Mi Qi
1W–1L career · no lines in 2023
not enough data
Nghia Duong
3W–3L career · no lines in 2023
not enough data
Stacey Huang
2W–3L career · no lines in 2023
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.