Teams

Smash & Dash/Lula/CSUN

2026 Mixed Tri-Level 18+ SFV Fall · SFV Tri-Level Mixed 3.0-4.0

17 players · average NTRP 3.50 / 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 →
Schedule10 upcoming · 2 played
Sep 6 8:30 AM
Northridge Racquet Sports California State University
Sep 13 1:00 PM
Northridge Racquet Sports California State University
Sep 19 5:00 PM
Porter Valley Country Club
Sep 27 11:00 AM
Northridge Racquet Sports California State University
Oct 4 8:30 AM
Northridge Racquet Sports California State University
Oct 18 8:30 AM
Northridge Racquet Sports California State University
Oct 24 5:30 PM
Burbank Tennis Center
Nov 1 11:00 AM
Northridge Racquet Sports California State University
Nov 8 4:00 PM
Toluca Lake Tennis Club
Nov 21 5:00 PM
Scholl Canyon golf and tennis (Glendale Tennis Academy)
W#1 DoublesTeddy Tran / Sara Heum vs Gustavo Perez / Katie Lagen6-2, 7-6
W#2 DoublesMatthieu Corfmat / Gabrielle Shrier vs Aldo Angrisani / Meghrik Isagholi2-6, 6-0, 1-0
W#3 DoublesBrian Shanny / Cindy Larson vs Christine O'Neal / Chris Fragoso7-5, 6-4
2026-08-22vs Mixed Acers/Tsai-Amirganian/CSUNLost 12
W#1 DoublesJosh LeVasseur / Sara Heum vs Deepak Antony / Tracee Nilsson6-1, 7-5
L#2 DoublesSergio Martinez / Halley Deleeuw vs Rodrigo Retamoza / Lisa Kapur5-7, 3-6
L#3 DoublesJorge Velasco / Hillary Williams vs Rahul Chhablani / Andrea Fruits6-4, 3-6, 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 standings7 teams · SFV Tri-Level Mixed 3.0-4.0
TeamWLInd. WInd. LSets lostGames lost
1Aceholes/Tran/Scholl000000
2Toluca Lake Team Tempest/Berman-Aladjem/Toluca000000
3Mixed Acers/Tsai-Amirganian/CSUN000000
4PTC Tri Mixers/Bennett-Mateos/Porter000000
5Park & Wreck/Mack/CSUN000000
6Smash & Dash/Lula/CSUN000000
7Breaking Bad Reloaded/Jung-O'Neal/Burbank000000

Ordered by team wins, then losses, then sets lost — the order USTA uses to seed a flight. Individual wins are lines, not ties.

See the full flight, with every team’s record

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 3.29 estimated across 15 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
Sara Heum
usually #1 Doubles 100% · published 4
3.86
Jaime Tovar
published 4
3.73
Josh LeVasseur
usually #1 Doubles 100% · published 4
3.47
Mikaela Nagler
published
3.43
Teddy Tran
usually #1 Doubles 100% · published
3.34
Halley Deleeuw
usually #2 Doubles 100% · published 3.5
3.23
Diane Quan
published 3.5
3.22
Sergio Martinez
usually #2 Doubles 100% · published
3.21
Dan Lula
published 3.5
3.19
Matthieu Corfmat
usually #2 Doubles 100% · published
3.15
Jorge Velasco
usually #3 Doubles 100% · published
3.04
Gabrielle Shrier
usually #2 Doubles 100% · published
2.89
Cindy Larson
usually #3 Doubles 100% · published 3
2.86
Brian Shanny
usually #3 Doubles 100% · published 3
2.83
Hillary Williams
usually #3 Doubles 100% · published
Roman Kuperman
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.

Stella Dumlao-Idea + Josh LeVasseur6651% gamesnot enough data
Gabrielle Shrier + Matthieu Corfmat314 matchesnot enough data
Sara Heum + Jaime Tovar303 matchesnot enough data
Jorge Velasco + Cindy Larson213 matchesnot enough data
Cindy Larson + Josh LeVasseur213 matchesnot enough data
Cindy Larson + Teddy Tran123 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
Sara Heum
122W–69L career · 2 lines in 2026
<1%83%17%
3.87
4
Jaime Tovar
125W–29L career · no lines in 2026
1%84%15%
3.86
4
Josh LeVasseur
46W–39L career · 1 line in 2026
5%92%2%
3.73
Mikaela Nagler
26W–40L career · no lines in 2026
58%42%<1%
3.47
Teddy Tran
11W–9L career · 1 line in 2026
<1%68%32%
3.43
3.5
Halley Deleeuw
10W–8L career · type S · 1 line in 2026
1%87%13%
3.34
3.5
Diane Quan
6W–13L career · no lines in 2026
5%92%3%
3.23
Sergio Martinez
7W–3L career · 1 line in 2026
6%92%2%
3.22
3.5
Dan Lula
138W–81L career · no lines in 2026
7%91%2%
3.21
Matthieu Corfmat
13W–15L career · 1 line in 2026
9%89%1%
3.19
Jorge Velasco
9W–7L career · 1 line in 2026
14%85%1%
3.15
Gabrielle Shrier
14W–9L career · 1 line in 2026
40%60%<1%
3.04
3
Cindy Larson
21W–14L career · 1 line in 2026
<1%79%21%
2.89
3
Brian Shanny
6W–6L career · 1 line in 2026
1%84%16%
2.86
3
Stella Dumlao-Idea
180W–184L career · no lines in 2026
1%88%11%
2.83
Hillary Williams
8W–9L career · 1 line in 2026
not enough data
Roman Kuperman
5W–0L career · no lines in 2026
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.