Teams

STONEBRAE 18MX7.0A

2022 MIXED 18&Over · 18&Over MX7.0

16 players · average NTRP 3.62 / 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 MX7.0 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 3.44 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.

4.01
Suresh Bhat
published
3.82
Arianna Choing
published 4
Derrick Guzman
published 4
3.64
Jeffrey Cannon
published
3.61
Kara Crowe
published
3.58
Michael Bierma
published
3.53
Angela Logan
published 4
3.46
Jazelle Nono
published
3.38
Minh Cannon
published
3.36
Julie Borjon
usually #2 Doubles 60%, also #3 Doubles 20% · published 3.5
3.34
Vicente Belizario
published
3.30
James Cochrane
published 3.5
3.27
Patti Presto
published
Edward Tang
published 3.5
3.09
Hong Choing
published 3.5
2.81
Dana Takahashi
published 3
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.

Vicente Belizario + Jazelle Nono314 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.

Suresh Bhat
29W–11L career · no lines in 2022
<1%46%54%
4.01
4
Arianna Choing
14W–3L career · no lines in 2022
1%91%8%
3.82
4
Derrick Guzman
1W–2L career · type S · no lines in 2022
not enough data
Jeffrey Cannon
19W–22L career · no lines in 2022
15%85%<1%
3.64
Kara Crowe
5W–15L career · no lines in 2022
20%80%<1%
3.61
Michael Bierma
1W–2L career · no lines in 2022
27%73%<1%
3.58
4
Angela Logan
28W–22L career · no lines in 2022
41%59%<1%
3.53
Jazelle Nono
23W–9L career · no lines in 2022
<1%62%38%
3.46
Minh Cannon
61W–38L career · no lines in 2022
<1%81%19%
3.38
3.5
Julie Borjon
92W–55L career · 5 lines in 2022
<1%86%13%
3.36
Vicente Belizario
13W–8L career · no lines in 2022
<1%89%11%
3.34
3.5
James Cochrane
9W–7L career · type A · no lines in 2022
1%93%6%
3.30
Patti Presto
25W–29L career · no lines in 2022
2%94%4%
3.27
3.5
Edward Tang
1W–1L career · no lines in 2022
not enough data
3.5
Hong Choing
6W–8L career · no lines in 2022
25%75%<1%
3.09
3
Dana Takahashi
11W–7L career · no lines in 2022
1%92%7%
2.81

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.