Teams

SFV-LLW-Aceholes/C Tran

2025 Mixed Tri-Level 18 SFV Fall · SFV-Tri-Level Mixed 2.5-3.5

20 players · average NTRP 3.09 / 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 →
Schedule2 played
2025-11-01vs SFV-L'Esprit de Tennis/G GillhamWon 20
W#2 DoublesMarisa Oh / Jonathan Ly vs Carolina Ciappa / Scott Carrithers6-0, 6-2
W#3 DoublesHoma Alamdari / Anthony Gonzalez vs George Collins / Sandra Vartanian6-1, 6-0
W#1 DoublesCharles Do / Melissa Lor vs Pamela Bentley / Michael Soucy6-1, 4-6, 1-0
W#2 DoublesJose Ochoa / Sandra Rachild vs Riley Klarkowski / Serena Gittisarn6-2, 6-4
W#3 DoublesAnthony Gonzalez / Jamie Chu vs Lawrence Dunbar / Liberty Peralta4-6, 7-5, 1-0
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-Tri-Level Mixed 2.5-3.5 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 3.02 estimated across 17 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.

3.83
Manoj Parmar
usually #1 Doubles 63%, also #2 Doubles 38% · published 4
3.49
Richie Oshiro
usually #2 Doubles 50%, also #1 Doubles 50% · published 3.5
3.34
Jenniffer Wong
usually #1 Doubles 50%, also #2 Doubles 50% · published 3.5
3.29
Melissa Lor
usually #1 Doubles 100% · published
3.22
Jose Ochoa
usually #2 Doubles 100% · published
3.10
Gerald Chao
published
3.10
Jonathan Ly
usually #2 Doubles 100% · published
3.02
Raj Hungund
published
2.95
Charles Do
usually #1 Doubles 100% · published 3
2.94
Annie Carmona
usually #2 Doubles 60%, also #3 Doubles 40% · published 3
2.89
Amy Soong Tsai
usually #1 Doubles 60%, also #2 Doubles 20% · published 3
2.81
Laurene Sandoval
published
2.79
Sandra Rachild
usually #2 Doubles 100% · published
Anthony Gonzalez
published 3
2.74
Homa Alamdari
usually #3 Doubles 100% · published 3
2.73
Marisa Oh
usually #2 Doubles 100% · published
2.62
Cristina Siruno
published 3
2.46
Hyon A Um
usually #3 Doubles 100% · published 2.5
Jamie Chu
usually #3 Doubles 100% · published 2.5
Tristan Pravong
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+4.4% vs expected
Richie Oshiro + Jenniffer Wong10357% games−2.9% vs expected
Raj Hungund + Cristina Siruno303 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
Manoj Parmar
149W–42L career · 8 lines in 2025
1%90%9%
3.83
3.5
Richie Oshiro
90W–54L career · 6 lines in 2025
<1%52%48%
3.49
3.5
Jenniffer Wong
200W–169L career · 4 lines in 2025
<1%88%11%
3.34
Melissa Lor
14W–8L career · 1 line in 2025
1%93%5%
3.29
Jose Ochoa
17W–25L career · 1 line in 2025
5%94%2%
3.22
Gerald Chao
10W–4L career · no lines in 2025
<1%21%79%
3.10
Jonathan Ly
39W–11L career · 1 line in 2025
<1%22%78%
3.10
Raj Hungund
22W–7L career · no lines in 2025
<1%43%57%
3.02
3
Charles Do
13W–17L career · 1 line in 2025
<1%66%34%
2.95
3
Annie Carmona
83W–48L career · 5 lines in 2025
<1%69%31%
2.94
3
Amy Soong Tsai
89W–60L career · 5 lines in 2025
<1%80%19%
2.89
Laurene Sandoval
10W–9L career · no lines in 2025
1%91%8%
2.81
Sandra Rachild
9W–6L career · 1 line in 2025
1%93%5%
2.79
3
Anthony Gonzalez
2W–0L career · no lines in 2025
not enough data
3
Homa Alamdari
23W–10L career · 1 line in 2025
3%94%2%
2.74
Marisa Oh
10W–18L career · 1 line in 2025
4%94%2%
2.73
3
Cristina Siruno
17W–12L career · no lines in 2025
18%82%<1%
2.62
2.5
Hyon A Um
66W–106L career · 2 lines in 2025
0%62%38%
2.46
2.5
Jamie Chu
1W–0L career · type S · 1 line in 2025
not enough data
Tristan Pravong
2W–0L 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.