Teams

SFV-Smash & Dash/D Lula

2025 Mixed Tri-Level 18 SFV Fall · SFV Tri-Level Mixed 3.0-4.0

17 players · average NTRP 3.55 / 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 Tri-Level Mixed 3.0-4.0 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 3.41 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.

3.86
Jaime Tovar
usually #1 Doubles 100% · published 4
3.81
Diane Perryman
usually #1 Doubles 100% · published 4
3.78
David McFarland
published 4
3.77
Pei Xu
published
3.73
Josh LeVasseur
usually #1 Doubles 100% · published 4
3.69
Summer Williamson
published
3.47
Mikaela Nagler
published
3.23
Diane Quan
published 3.5
3.21
Dan Lula
usually #2 Doubles 100% · published 3.5
3.19
Matthieu Corfmat
published
3.17
Desire Stephens
usually #2 Doubles 100% · published 3
3.15
Diana Massaria
published 3.5
3.15
Jorge Velasco
usually #2 Doubles 100% · published
3.04
Gabrielle Shrier
published
2.89
Cindy Larson
published 3
David Gillham
published 3
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.

Gabrielle Shrier + Matthieu Corfmat314 matchesnot enough data
Summer Williamson + Jorge Velasco123 matchesnot enough data
Jorge Velasco + Cindy Larson213 matchesnot enough data
Cindy Larson + Josh LeVasseur213 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
Jaime Tovar
125W–29L career · 3 lines in 2025
1%84%15%
3.86
4
Diane Perryman
91W–104L career · 4 lines in 2025
1%90%8%
3.81
4
David McFarland
5W–5L career · no lines in 2025
2%92%6%
3.78
Pei Xu
16W–6L career · no lines in 2025
3%92%5%
3.77
4
Josh LeVasseur
46W–39L career · 2 lines in 2025
5%92%2%
3.73
Summer Williamson
48W–26L career · no lines in 2025
0%<1%>99%
3.69
Mikaela Nagler
26W–40L career · no lines in 2025
58%42%<1%
3.47
3.5
Diane Quan
6W–13L career · no lines in 2025
5%92%3%
3.23
3.5
Dan Lula
138W–81L career · 3 lines in 2025
7%91%2%
3.21
Matthieu Corfmat
13W–15L career · no lines in 2025
9%89%1%
3.19
3
Desire Stephens
13W–3L career · 1 line in 2025
<1%12%88%
3.17
3.5
Diana Massaria
20W–9L career · no lines in 2025
13%86%1%
3.15
Jorge Velasco
9W–7L career · 1 line in 2025
14%85%1%
3.15
Gabrielle Shrier
14W–9L career · no lines in 2025
40%60%<1%
3.04
3
Cindy Larson
21W–14L career · no lines in 2025
<1%79%21%
2.89
3
David Gillham
7W–7L career · no lines in 2025
not enough data
Roman Kuperman
5W–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.