Teams

Ball Breakers/Lula-Siojo/CSUN

2026 Mixed Tri-Level 18+ SFV Fall · SFV Tri-Level Mixed 2.5-3.5

15 players · average NTRP 3.05 / 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 →
Schedule7 upcoming
Sep 13 10:00 AM
Scholl Canyon golf and tennis (Glendale Tennis Academy)
Sep 27 5:30 PM
Burbank Tennis Center
Oct 3 11:00 AM
Northridge Racquet Sports California State University
Oct 17 8:30 AM
Northridge Racquet Sports California State University
Oct 24 11:00 AM
Scholl Canyon golf and tennis (Glendale Tennis Academy)
Oct 31 5:30 PM
Burbank Tennis Center
Nov 15 11:00 AM
Northridge Racquet Sports California State University

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 2.84 estimated across 14 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.

3.44
David Sobel
published 3.5
3.26
Diane Quan
published 3.5
3.21
Dan Lula
published 3.5
3.20
Jorge Velasco
usually #3 Doubles 100% · published
3.16
Andrew Wheeler
published 3.5
3.10
Anita Spraggs
published 3
2.79
Eliza Llobrera
published 3
2.67
Mohamed Tantawi
published
2.65
Zenaida Siojo
published
2.54
Chung Mi Ferraro
published 2.5
2.53
Allison Branda
published 3
2.48
Robert Rakauskas
published
2.42
Ashley Kaufman
published 2.5
2.35
Krizen Mateo
published
Alik Apelian
published 2.5
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.

Dan Lula + Ashley Kaufman123 matchesnot enough data
Chung Mi Ferraro + David Sobel303 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
David Sobel
13W–6L career · type S · no lines in 2026
<1%69%31%
3.44
3.5
Diane Quan
6W–13L career · no lines in 2026
2%95%3%
3.26
3.5
Dan Lula
138W–81L career · no lines in 2026
5%93%1%
3.21
Jorge Velasco
9W–7L career · 1 line in 2026
6%93%1%
3.20
3.5
Andrew Wheeler
7W–12L career · no lines in 2026
11%88%<1%
3.16
3
Anita Spraggs
72W–83L career · no lines in 2026
<1%21%79%
3.10
3
Eliza Llobrera
121W–89L career · no lines in 2026
1%93%5%
2.79
Mohamed Tantawi
6W–6L career · no lines in 2026
9%90%1%
2.67
Zenaida Siojo
9W–17L career · no lines in 2026
12%88%<1%
2.65
2.5
Chung Mi Ferraro
6W–0L career · no lines in 2026
0%37%63%
2.54
3
Allison Branda
6W–9L career · no lines in 2026
40%60%<1%
2.53
Robert Rakauskas
5W–19L career · no lines in 2026
57%43%<1%
2.48
2.5
Ashley Kaufman
1W–6L career · no lines in 2026
0%72%28%
2.42
Krizen Mateo
0W–4L career · no lines in 2026
87%13%<1%
2.35
2.5
Alik Apelian
1W–4L 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.