Teams

Breaking Bad Bucks/Pazirandeh/Burbank

2026 SoCal Doubles 18+ SFV Fall · SFV 18 & Over - Men 4.0

11 players · average NTRP 3.86 / 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 standings10 teams · SFV 18 & Over - Men 4.0
TeamWLInd. WInd. LSets lostGames lost
1Knights at Court/Heum/El Cariso000000
2Breaking Bad Bucks/Pazirandeh/Burbank000000
3TA SFV/Ur/Scholl000000
4Paseo United4.0/Zeltser/Paseo000000
5The 300's/Soucy/Calabasas000000
6Toluca Lakers/DiNardo-Hofstein/Toluca Lake000000
7The Rocky Balboas/Tovar/Balboa000000
8Quakes/Esguerra-Oetomo/CSUN000000
9Scholland Garros/Han-Im/Scholl000000
10Mulholland Tennis Club/Morris-Geha000000

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 3.51 estimated across 11 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.

3.80
MacLyn McRae
published 4
3.62
Alex Ball
published 4
3.59
Edmond Avedisian
published 4
3.52
Anil Punyapu
published 4
3.50
Oliver Seaton
published
3.47
Michael Pazirandeh
published 3.5
3.47
Thomas Hoeg-Jensen
published
3.46
Kamron Shahriaree
published
3.44
Bryan Kariuki
published 3.5
3.38
Kenneth Jung
published
3.38
Dalton Butler
published 4
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.

Dalton Butler + Alex Ball0539% games−11.6% vs expected
Edmond Avedisian + MacLyn McRae5459% gamesnot enough data
Edmond Avedisian + Thomas Hoeg-Jensen314 matchesnot enough data
MacLyn McRae + Michael Pazirandeh224 matchesnot enough data
MacLyn McRae + Oliver Seaton303 matchesnot enough data
Bryan Kariuki + Michael Pazirandeh213 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
MacLyn McRae
94W–50L career · no lines in 2026
2%91%7%
3.80
4
Alex Ball
2W–12L career · type S · no lines in 2026
19%81%<1%
3.62
4
Edmond Avedisian
104W–115L career · no lines in 2026
26%74%<1%
3.59
4
Anil Punyapu
14W–16L career · no lines in 2026
45%55%<1%
3.52
Oliver Seaton
18W–3L career · no lines in 2026
<1%<1%>99%
3.50
3.5
Michael Pazirandeh
83W–29L career · no lines in 2026
<1%57%43%
3.47
Thomas Hoeg-Jensen
8W–9L career · no lines in 2026
<1%<1%>99%
3.47
Kamron Shahriaree
51W–2L career · no lines in 2026
<1%<1%>99%
3.46
3.5
Bryan Kariuki
24W–13L career · no lines in 2026
<1%66%34%
3.44
Kenneth Jung
13W–12L career · no lines in 2026
<1%<1%>99%
3.38
4
Dalton Butler
1W–7L career · no lines in 2026
80%20%<1%
3.38

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.