Teams

SFV - LLW Burning Aceholes/Tran

2025 Adult Tri-Level 18 - SFV Summer · SFV Women's 2.5-3.5 (New Low)

20 players · average NTRP 3.21 / 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 SFV Women's 2.5-3.5 (New Low) 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 3.00 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.

3.54
Michelle Wong
published
3.45
Melanie Minichino
usually #1 Doubles 100% · published 3.5
3.40
Jessie Young
published
3.37
Debbie Maringka
published 3.5
3.33
Jenny Lin
published
3.30
Melissa Lor
published
3.24
Joy Cho
published
3.17
Jennifer Sung
published
3.04
Gabrielle Shrier
published
3.03
Sandra Zane
usually #1 Doubles 100% · published 3.5
2.89
Amy Soong Tsai
usually #1 Doubles 50%, also #2 Doubles 50% · published 3
2.89
Cindy Larson
published 3
2.83
Janelle Brown
published
2.78
Laurene Sandoval
published
2.77
Homa Alamdari
published
2.68
Sandra Rachild
published
2.66
Brenda Pokorny
published 3
2.61
Cristina Siruno
published 3
2.57
Tina Lu
published
2.42
Le Trieu
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.

Cristina Siruno + Le Trieu7160% games+5.8% vs expected
Joy Cho + Debbie Maringka5067% gamesnot enough data
Melanie Minichino + Jessie Young5069% gamesnot enough data
Debbie Maringka + Michelle Wong404 matchesnot enough data
Homa Alamdari + Brenda Pokorny213 matchesnot enough data
Jennifer Sung + Debbie Maringka213 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.

Michelle Wong
23W–7L career · no lines in 2025
0%<1%>99%
3.54
3.5
Melanie Minichino
76W–29L career · 2 lines in 2025
<1%65%35%
3.45
Jessie Young
29W–7L career · no lines in 2025
<1%<1%>99%
3.40
3.5
Debbie Maringka
27W–8L career · no lines in 2025
<1%81%18%
3.37
Jenny Lin
14W–18L career · no lines in 2025
<1%1%99%
3.33
Melissa Lor
14W–8L career · no lines in 2025
2%91%8%
3.30
Joy Cho
37W–16L career · no lines in 2025
0%<1%>99%
3.24
Jennifer Sung
19W–11L career · no lines in 2025
11%88%1%
3.17
Gabrielle Shrier
14W–9L career · no lines in 2025
40%60%<1%
3.04
3.5
Sandra Zane
146W–141L career · 3 lines in 2025
42%58%<1%
3.03
3
Amy Soong Tsai
89W–60L career · 2 lines in 2025
<1%79%21%
2.89
3
Cindy Larson
21W–14L career · no lines in 2025
<1%79%21%
2.89
Janelle Brown
17W–14L career · no lines in 2025
0%1%99%
2.83
Laurene Sandoval
10W–9L career · no lines in 2025
2%92%6%
2.78
Homa Alamdari
23W–10L career · no lines in 2025
3%92%5%
2.77
Sandra Rachild
9W–6L career · no lines in 2025
0%10%90%
2.68
3
Brenda Pokorny
16W–8L career · no lines in 2025
12%87%1%
2.66
3
Cristina Siruno
17W–12L career · no lines in 2025
21%79%<1%
2.61
Tina Lu
23W–22L career · no lines in 2025
0%31%69%
2.57
Le Trieu
11W–5L career · no lines in 2025
72%28%<1%
2.42

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.