Teams

BC-WestEnd/StephanieMarra

2022 Mixed 18 & Over - Beach Cities · BC Mixed 18 & Over - 8.0

18 players · average NTRP 4.00 / 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 →

Flight standings for BC Mixed 18 & Over - 8.0 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 3.68 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.

4.19
Evelyn Yanke
published 4.5
4.08
Andre Grinberg
published 4
3.85
Edward Schuh
usually #1 Doubles 33%, also #2 Doubles 33% · published 4
3.80
Jeffrey Earl
published
3.77
Dave Kang
usually #3 Doubles 100% · published 4
3.72
Koichi Ishihara
usually #2 Doubles 50%, also #1 Doubles 50% · published 4
3.70
Robin Freni
usually #2 Doubles 63%, also #1 Doubles 25% · published 4
3.66
3.65
Noreen Wenjen
usually #2 Doubles 44%, also #1 Doubles 33% · published 4
3.63
Steve Hulbert
published
3.62
Bob Parsi
usually #3 Doubles 56%, also #1 Doubles 33% · published 4
3.54
Kenny Lee
published
3.50
Ahdeyh Soltani
published 4
3.47
Roger Kodani
usually #3 Doubles 67%, also #2 Doubles 33% · published
3.04
Mary Kay Dyes
usually #2 Doubles 100% · published 3.5
Rona Martins
published
Tess Pugliese
usually #1 Doubles 50%, also #2 Doubles 50% · published
Tung Le
usually #3 Doubles 67%, also #1 Doubles 33% · 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.

Edward Schuh + Robin Freni281560% games+10.8% vs expected
Koichi Ishihara + Noreen Wenjen123 matchesnot enough data
Mary Kay Dyes + Roger Kodani033 matchesnot enough data
Tung Le + Noreen Wenjen213 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.

4.5
Evelyn Yanke
5W–7L career · no lines in 2022
8%92%1%
4.19
4
Andre Grinberg
9W–4L career · no lines in 2022
<1%26%74%
4.08
4
Edward Schuh
124W–80L career · 6 lines in 2022
<1%87%13%
3.85
Jeffrey Earl
0W–3L career · no lines in 2022
1%93%6%
3.80
4
Dave Kang
138W–129L career · 3 lines in 2022
2%94%4%
3.77
4
Koichi Ishihara
66W–83L career · 2 lines in 2022
5%94%2%
3.72
4
Robin Freni
92W–59L career · 8 lines in 2022
6%93%1%
3.70
4
Bernadette Cosgrove
1W–8L career · type A · no lines in 2022
11%88%<1%
3.66
4
Noreen Wenjen
92W–67L career · 9 lines in 2022
13%86%<1%
3.65
Steve Hulbert
6W–7L career · no lines in 2022
15%84%<1%
3.63
4
Bob Parsi
91W–156L career · 9 lines in 2022
17%82%<1%
3.62
Kenny Lee
6W–8L career · no lines in 2022
38%62%<1%
3.54
4
Ahdeyh Soltani
5W–16L career · no lines in 2022
49%51%<1%
3.50
Roger Kodani
61W–157L career · 6 lines in 2022
58%42%<1%
3.47
3.5
Mary Kay Dyes
39W–114L career · 2 lines in 2022
37%63%<1%
3.04
Rona Martins
6W–6L career · no lines in 2022
not enough data
Tess Pugliese
46W–37L career · 2 lines in 2022
not enough data
Tung Le
66W–42L career · 3 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.