Teams

MONTE VISTA HS 18MX9.0A

2022 MIXED 18&Over · 18&Over MX9.0

20 players · average NTRP 4.38 / 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 18&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 3.96 estimated across 16 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.

4.32
Carol Wang
published 4.5
4.32
Glenn Teixeira
published 4.5
4.31
Debashis Panda
published 4.5
Cameron Larner
published 4.5
4.25
Adriana Ciarnuto
published 4.5
4.21
Petra Reinecke
published
4.11
Michael Attiyeh
published
4.07
Deborah Leland
published 4.5
4.06
Sanjay Backliwal
published
3.94
Thomas Lyhne
published
3.89
Wyler Collo
published
3.84
Stacey Perry
published
3.75
Arnold Soleta
published 4
3.72
3.66
Paul Lizama
published
3.50
Ning Docena
published
3.42
Alan Chan
usually #3 Doubles 40%, also #1 Doubles 40% · published 4
Kimiko Kearney
published
Matt Kim
published
Omar Ted Panugaling
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
Carol Wang
5W–20L career · no lines in 2022
1%91%8%
4.32
4.5
Glenn Teixeira
30W–16L career · no lines in 2022
1%91%8%
4.32
4.5
Debashis Panda
5W–5L career · no lines in 2022
1%92%8%
4.31
4.5
Cameron Larner
1W–1L career · no lines in 2022
not enough data
4.5
Adriana Ciarnuto
2W–2L career · no lines in 2022
3%95%3%
4.25
Petra Reinecke
10W–6L career · no lines in 2022
5%94%1%
4.21
Michael Attiyeh
9W–22L career · no lines in 2022
19%80%<1%
4.11
4.5
Deborah Leland
14W–4L career · no lines in 2022
29%71%<1%
4.07
Sanjay Backliwal
10W–32L career · no lines in 2022
33%67%<1%
4.06
Thomas Lyhne
17W–10L career · no lines in 2022
67%33%<1%
3.94
Wyler Collo
14W–13L career · no lines in 2022
80%20%<1%
3.89
Stacey Perry
3W–6L career · no lines in 2022
90%10%<1%
3.84
4
Arnold Soleta
7W–13L career · no lines in 2022
3%95%3%
3.75
Marilyn Morrell-Kristal
1W–21L career · no lines in 2022
98%2%<1%
3.72
Paul Lizama
3W–15L career · no lines in 2022
11%88%<1%
3.66
Ning Docena
13W–26L career · no lines in 2022
51%49%<1%
3.50
4
Alan Chan
80W–67L career · 5 lines in 2022
74%26%<1%
3.42
Kimiko Kearney
7W–1L career · no lines in 2022
not enough data
Matt Kim
1W–1L career · no lines in 2022
not enough data
Omar Ted Panugaling
1W–0L 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.