Teams

BC-AltaVista/AndreaTorng

2025 TRI LEVEL MX April · July - BC

24 players · average NTRP 3.56 / 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 July - BC 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 3.40 estimated across 20 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.

3.87
Andrea Torng
published 4
3.85
3.75
3.73
Karen Bronson
published
3.69
Linda Lai
published
3.52
Jeff Jenks
published
3.51
Kristin Scott
published
3.46
Tucker Delponti
published
3.42
Chris Diep
published 3.5
3.41
Elizabeth Park
published
3.40
David Lam
published 3.5
3.36
William Padula
published
3.36
Betty Torng
published 3.5
3.33
Jackie Kim
published
3.33
Hailey Denenberg
published
3.20
Krysti Sam
published
3.08
Emily Ashby
published
3.04
Dan Kirner
published 3.5
2.99
Claudina Mercado
published 3
Brenda Phongsa
published 3
2.70
Vincent Sanchez
published
Jeff Shive
published
Stephanie Padula
published
Wade Guang
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.

David Lam + Andrea Torng4161% gamesnot enough data
Emily Ashby + Dan Kirner5068% gamesnot enough data
Emily Ashby + Jeff Jenks224 matchesnot enough data
Jackie Kim + Chris Diep224 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
Andrea Torng
89W–31L career · no lines in 2025
<1%81%18%
3.87
4
Stephanie Guggenheim
67W–59L career · no lines in 2025
1%84%15%
3.85
4
Anna Chrysikopoulos
1W–2L career · no lines in 2025
4%93%4%
3.75
Karen Bronson
16W–8L career · no lines in 2025
5%92%3%
3.73
Linda Lai
6W–7L career · no lines in 2025
9%90%1%
3.69
Jeff Jenks
13W–8L career · no lines in 2025
<1%45%55%
3.52
Kristin Scott
27W–14L career · no lines in 2025
<1%46%54%
3.51
Tucker Delponti
27W–9L career · no lines in 2025
<1%63%37%
3.46
3.5
Chris Diep
12W–15L career · no lines in 2025
<1%70%30%
3.42
Elizabeth Park
11W–19L career · no lines in 2025
<1%75%25%
3.41
3.5
David Lam
28W–12L career · no lines in 2025
<1%76%24%
3.40
William Padula
7W–8L career · no lines in 2025
<1%83%17%
3.36
3.5
Betty Torng
10W–6L career · no lines in 2025
1%84%15%
3.36
Jackie Kim
24W–22L career · no lines in 2025
1%88%12%
3.33
Hailey Denenberg
13W–3L career · no lines in 2025
1%88%11%
3.33
Krysti Sam
6W–5L career · no lines in 2025
8%91%2%
3.20
Emily Ashby
28W–22L career · no lines in 2025
30%70%<1%
3.08
3.5
Dan Kirner
13W–14L career · no lines in 2025
38%62%<1%
3.04
3
Claudina Mercado
27W–41L career · no lines in 2025
<1%53%47%
2.99
3
Brenda Phongsa
0W–2L career · no lines in 2025
not enough data
Vincent Sanchez
3W–14L career · no lines in 2025
98%2%<1%
2.70
Jeff Shive
7W–1L career · no lines in 2025
not enough data
Stephanie Padula
3W–3L career · no lines in 2025
not enough data
Wade Guang
0W–1L career · no lines in 2025
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.