Teams

SFV - LLW-Aceholes/C Tran & A Tsai

2025 Mixed 40 SFV Spring · SFV 40 & Over - 7.0 MxD

24 players · average NTRP 3.62 / 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 →
Schedule1 played
L#1 DoublesMarisa Oh / David Kim vs Paul Brosche / Hanan Asfoury6-7, 5-7
W#2 DoublesJoy Cho / Ara Baghdasaryan vs Patricia Dunn / John Chung6-3, 6-4
W#3 DoublesHien Tran / Debbie Maringka vs Terry Wingo / Jennifer Williams7-5, 7-6
A tie can be incomplete. Tell us if someone is missing.
i
Grouped by tie — one fixture, several lines. A line shows only when a player on it is someone we have indexed, so an early-season tie for a newly-added team can look short. This also means the line count here will not match the header, which counts individual player appearances.

Flight standings for SFV 40 & Over - 7.0 MxD 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 3.35 estimated across 22 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.

4.07
Ming-Ming Peng
published 4
3.95
Joanna Ku
published
3.82
Steinway Huang
usually #3 Doubles 67%, also #1 Doubles 33% · published 4
3.78
Manoj Parmar
usually #1 Doubles 43%, also #3 Doubles 29% · published 4
Ara Baghdasaryan
usually #2 Doubles 100% · published 4
David Kim
published 4
3.65
Vincent Chan
published
3.53
Richie Oshiro
usually #2 Doubles 50%, also #1 Doubles 50% · published 3.5
3.46
Ellie Wei
published
3.45
Melanie Minichino
published 3.5
3.44
Vic Kan
published
3.40
James Lee
published
3.37
Debbie Maringka
usually #3 Doubles 100% · published 3.5
3.33
Jenniffer Wong
usually #1 Doubles 60%, also #2 Doubles 40% · published 3.5
3.31
Ramiro Rivas
published
3.30
Melissa Lor
published
3.24
Joy Cho
usually #2 Doubles 100% · published
3.13
Jonathan Ly
published
3.10
Gerald Chao
published
3.03
Sandra Zane
usually #3 Doubles 50%, also #2 Doubles 50% · published 3.5
2.96
Sonia Chan
published
2.91
Charles Do
published 3
2.89
Amy Soong Tsai
usually #3 Doubles 57%, also #1 Doubles 29% · published 3
2.60
Marisa Oh
usually #1 Doubles 100% · 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.

Manoj Parmar + Amy Soong Tsai10368% games+1.8% vs expected
Richie Oshiro + Jenniffer Wong10357% games−4.2% vs expected
Richie Oshiro + Debbie Maringka224 matchesnot enough data
Manoj Parmar + Sandra Zane224 matchesnot enough data
Manoj Parmar + Melanie Minichino404 matchesnot enough data
Vincent Chan + Sonia Chan404 matchesnot enough data
Richie Oshiro + Melanie Minichino303 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
Ming-Ming Peng
52W–34L career · no lines in 2025
<1%31%69%
4.07
Joanna Ku
8W–8L career · no lines in 2025
<1%63%37%
3.95
4
Steinway Huang
73W–29L career · 3 lines in 2025
1%89%10%
3.82
4
Manoj Parmar
148W–42L career · 7 lines in 2025
2%92%6%
3.78
4
Ara Baghdasaryan
1W–0L career · 1 line in 2025
not enough data
4
David Kim
8W–1L career · no lines in 2025
not enough data
Vincent Chan
13W–4L career · no lines in 2025
<1%<1%>99%
3.65
3.5
Richie Oshiro
90W–54L career · 8 lines in 2025
<1%43%57%
3.53
Ellie Wei
4W–12L career · no lines in 2025
60%40%<1%
3.46
3.5
Melanie Minichino
76W–29L career · no lines in 2025
<1%65%35%
3.45
Vic Kan
17W–13L career · no lines in 2025
<1%<1%>99%
3.44
James Lee
25W–15L career · no lines in 2025
<1%<1%>99%
3.40
3.5
Debbie Maringka
27W–8L career · 1 line in 2025
<1%81%18%
3.37
3.5
Jenniffer Wong
200W–169L career · 5 lines in 2025
1%88%11%
3.33
Ramiro Rivas
28W–16L career · no lines in 2025
<1%1%99%
3.31
Melissa Lor
14W–8L career · no lines in 2025
2%91%8%
3.30
Joy Cho
37W–16L career · 1 line in 2025
0%<1%>99%
3.24
Jonathan Ly
39W–11L career · no lines in 2025
<1%18%82%
3.13
Gerald Chao
10W–4L career · no lines in 2025
<1%23%77%
3.10
3.5
Sandra Zane
146W–141L career · 2 lines in 2025
42%58%<1%
3.03
Sonia Chan
20W–5L career · no lines in 2025
<1%60%40%
2.96
3
Charles Do
13W–16L career · no lines in 2025
<1%73%27%
2.91
3
Amy Soong Tsai
89W–60L career · 7 lines in 2025
<1%79%21%
2.89
Marisa Oh
10W–18L career · 1 line in 2025
24%76%<1%
2.60

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.