Teams

SD LT Balboa M&M's/ Afifi

2026 Mixed Doubles Tri-Level Fall - SD · SD (8.0

17 players · average NTRP 3.50 / SAN DIEGO

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 standings7 teams · SD (8.0
TeamWLInd. WInd. LSets lostGames lost
1SD LT SDTRC/ Adams000000
2SD LT ECCTA/ Rozo- Runde000000
3SD LT Balboa TC/ Tan000000
4SD LT Balboa M&M's/ Afifi000000
5SD LT Peninsula TC/ Miller000000
6SD LT Mtn View/ Cortez000000
7SD LT SDTRC/ Dube000000

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 3.36 estimated across 16 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.

3.91
Mohamed Afifi
published 4
3.81
Catherine Sheils
published 4
3.77
Laura Edmondson
published
3.72
Paul Minifee
published
3.72
Clint Knox
published 4
3.59
Jack Ribarich
published 3.5
3.51
Leah Diehl
published 4
3.49
Ben LoBrutto
published 3.5
3.40
Sami Sweis
published 3.5
3.39
Shiela Murali
published 3.5
3.18
Hayley Moore
published 3.5
3.08
Kara Henderson
published
2.90
David Glozman
published 3
2.82
Moe Mubarak
published
2.80
Angela Christian
published 3
Christopher Chen
published 3
2.63
Emily Voeller
published 3
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.

Mohamed Afifi + Leah Diehl7749% games−7.3% vs expected
Leah Diehl + Sami Sweis3353% gamesnot 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
Mohamed Afifi
30W–30L career · no lines in 2026
<1%75%25%
3.91
4
Catherine Sheils
51W–15L career · no lines in 2026
1%92%7%
3.81
Laura Edmondson
18W–7L career · no lines in 2026
2%94%4%
3.77
Paul Minifee
2W–5L career · no lines in 2026
4%94%2%
3.72
4
Clint Knox
4W–3L career · type S · no lines in 2026
5%94%1%
3.72
3.5
Jack Ribarich
33W–7L career · no lines in 2026
<1%25%75%
3.59
4
Leah Diehl
61W–51L career · no lines in 2026
46%54%<1%
3.51
3.5
Ben LoBrutto
12W–1L career · type S · no lines in 2026
<1%52%48%
3.49
3.5
Sami Sweis
52W–25L career · no lines in 2026
<1%78%22%
3.40
3.5
Shiela Murali
21W–8L career · no lines in 2026
<1%80%20%
3.39
3.5
Hayley Moore
5W–6L career · no lines in 2026
8%91%1%
3.18
Kara Henderson
17W–4L career · no lines in 2026
<1%27%73%
3.08
3
David Glozman
6W–8L career · no lines in 2026
<1%78%22%
2.90
Moe Mubarak
9W–14L career · no lines in 2026
91%9%<1%
2.82
3
Angela Christian
52W–50L career · no lines in 2026
1%93%6%
2.80
3
Christopher Chen
3W–1L career · type A · no lines in 2026
not enough data
3
Emily Voeller
2W–7L career · no lines in 2026
15%85%<1%
2.63

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.