Teams

SFV-Racketeers Mixed/Y Brooks & L Peralta

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

26 players · average NTRP 3.38 / 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 →
Schedule3 played
2025-11-08vs SFV-L'Esprit de Tennis/G GillhamLost 12
L#1 DoublesBruce Lilly / Tammy Scher vs Angela Tirado / Angel Tirado2-6, 1-6
L#2 DoublesJeffrey Korerat / Serena Gittisarn vs Judith Ortiz / Aditya Moorthy1-6, 0-6
W#3 DoublesLawrence Dunbar / Meghrik Isagholi vs Gagik Trdatyan / Sandra Vartanian6-3, 6-0
2025-10-25vs SFV-Ball Breakers/R Heath & D LulaLost 12
W#1 DoublesJonathan Sosa / Julie Sato vs Nichole Carlin / Fabricio Apuy6-2, 7-6
L#2 DoublesMichael Soucy / Tisha San Miguel vs Zenaida Siojo / Jorge Velasco6-4, 4-6, 0-1
L#3 DoublesLawrence Dunbar / Iuliia Bakhshalieva vs Ada Ramirez / Jake Kasarjian1-6, 2-6
2025-09-14vs SFV-LLW-Aceholes/C TranLost 03
L#1 DoublesPamela Bentley / Michael Soucy vs Charles Do / Melissa Lor1-6, 6-4, 0-1
L#2 DoublesRiley Klarkowski / Serena Gittisarn vs Jose Ochoa / Sandra Rachild2-6, 4-6
L#3 DoublesLawrence Dunbar / Liberty Peralta vs Anthony Gonzalez / Jamie Chu6-4, 5-7, 0-1
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 2.88 estimated across 21 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.

3.47
Michael Pazirandeh
usually #3 Doubles 80%, also #2 Doubles 20% · published 3.5
3.38
Aldo Angrisani
usually #1 Doubles 100% · published 3.5
3.27
Bruce Lilly
usually #1 Doubles 100% · published 3.5
3.23
Glen Chester
published
3.07
Tammy Scher
usually #1 Doubles 100% · published
3.01
Michael Soucy
usually #1 Doubles 50%, also #2 Doubles 50% · published
2.96
Hai Dao
published
2.93
Norvin Soza
published
2.92
Riley Klarkowski
usually #2 Doubles 50%, also #3 Doubles 50% · published
2.87
TARUN TYAGI
published
2.86
Jeffrey Korerat
usually #2 Doubles 100% · published
2.86
Tisha San Miguel
usually #2 Doubles 100% · published
2.83
Serena Wang
published
2.82
Meghrik Isagholi
usually #3 Doubles 100% · published
2.74
2.69
Letty King
published
2.61
Lawrence Dunbar
usually #3 Doubles 100% · published
2.60
Pamela Bentley
usually #1 Doubles 100% · published
2.49
Jacqueline Hantgan
published
2.48
Robina Markarian
published
2.29
Iuliia Bakhshalieva
usually #3 Doubles 100% · published
Jonathan Sosa
usually #1 Doubles 100% · published
Julie Sato
usually #1 Doubles 100% · published
Liberty Peralta
usually #3 Doubles 100% · published
Serena Gittisarn
usually #2 Doubles 100% · published
Yvonne Brooks
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.

Jeffrey Korerat + Letty King314 matchesnot enough data
Pamela Bentley + Norvin Soza303 matchesnot enough data
Aldo Angrisani + Julie Sato123 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.

3.5
Michael Pazirandeh
83W–29L career · 5 lines in 2025
<1%57%43%
3.47
3.5
Aldo Angrisani
93W–85L career · 4 lines in 2025
<1%79%21%
3.38
3.5
Bruce Lilly
7W–6L career · 1 line in 2025
3%92%5%
3.27
Glen Chester
5W–12L career · no lines in 2025
5%92%3%
3.23
Tammy Scher
4W–26L career · 1 line in 2025
31%69%<1%
3.07
Michael Soucy
15W–12L career · 2 lines in 2025
<1%47%53%
3.01
Hai Dao
6W–3L career · no lines in 2025
<1%61%39%
2.96
Norvin Soza
23W–4L career · no lines in 2025
<1%68%32%
2.93
Riley Klarkowski
25W–36L career · 2 lines in 2025
<1%71%28%
2.92
TARUN TYAGI
13W–10L career · no lines in 2025
<1%82%18%
2.87
Jeffrey Korerat
16W–14L career · 1 line in 2025
1%84%16%
2.86
Tisha San Miguel
9W–7L career · 1 line in 2025
1%84%16%
2.86
Serena Wang
9W–4L career · no lines in 2025
1%88%11%
2.83
Meghrik Isagholi
11W–8L career · 1 line in 2025
1%89%10%
2.82
3
Courtney Bramstedt
4W–9L career · no lines in 2025
4%93%3%
2.74
Letty King
5W–6L career · no lines in 2025
9%90%1%
2.69
Lawrence Dunbar
7W–12L career · 3 lines in 2025
21%79%<1%
2.61
Pamela Bentley
9W–7L career · 1 line in 2025
25%75%<1%
2.60
Jacqueline Hantgan
4W–1L career · no lines in 2025
52%48%<1%
2.49
Robina Markarian
2W–9L career · no lines in 2025
57%43%<1%
2.48
Iuliia Bakhshalieva
0W–8L career · 1 line in 2025
94%6%<1%
2.29
Jonathan Sosa
2W–1L career · 1 line in 2025
not enough data
Julie Sato
3W–4L career · 1 line in 2025
not enough data
Liberty Peralta
0W–3L career · 1 line in 2025
not enough data
Serena Gittisarn
1W–2L career · 2 lines in 2025
not enough data
Yvonne Brooks
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.