Teams

SD LT Balboa Babes 2.0/ Mubarak

2025 Mixed Doubles Tri-Level Fall - SD · SD LT (8.0

13 players · average NTRP 3.70 / SAN DIEGO

View scouting list →
Schedule9 played
2025-11-28Won 10
W#2 DoublesLeah Diehl / Mohamed Afifi vs N/A6-0, 6-0
2025-11-22vs SD LLW LT SDTRC/ SchultzelWon 10
W#3 DoublesShiela Murali / Padmanabha Kavasseri vs Millie Touch / Colin Chang6-0, 7-6
2025-11-08vs SD HT Pacific Beach TC/ EadeLost 01
L#2 DoublesKelly Jernigan / Mohamed Afifi vs Will Mauriz / Arianna Michaels1-6, 2-6
2025-10-25vs SD LT SDTRC/ DubeWon 10
W#1 DoublesClint Knox / Shiela Murali vs Yvonne Angyal / Charles Angyal6-3, 6-4
2025-10-11Lost 01
L#3 DoublesWalter Bain / Shiela Murali vs Christina Beppu / Daisuke Beppu4-6, 0-6
2025-10-04vs SD HT Pacific Beach TC/ EadeWon 10
W#2 DoublesStephanie Misola / Mohamed Afifi vs Ashley Jay / Teppei Karasawa6-1, 4-6, 1-0
2025-10-04vs SD LT Balboa TC/ TranLost 01
L#1 DoublesShiela Murali / Jonathan Park vs Wesley Kong / Anne-Sophie Roobol7-5, 3-6, 1-0
2025-09-13vs SD LT Mtn View/ CortezWon 10
W#1 DoublesClint Knox / Shiela Murali vs James Pele / Brandy Baray6-4, 7-5
2025-09-06vs SD LLW HT Balboa TC/ MartinezLost 01
L#3 DoublesLeah Diehl / Sami Sweis vs Soon Chye Ho / Yekaterina Smotrich4-6, 4-6
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 standings for SD LT (8.0 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 3.26 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.

3.91
Mohamed Afifi
usually #2 Doubles 80%, also #1 Doubles 20% · published 4
3.81
Jonathan Park
published
3.72
Clint Knox
published 4
3.51
Leah Diehl
usually #2 Doubles 80%, also #3 Doubles 20% · published 4
3.39
Shiela Murali
usually #1 Doubles 60%, also #3 Doubles 40% · published 3.5
3.25
Nina Francis
published
3.22
Jimmy Carr
published
2.83
Madeleine Norris
published
2.82
Moe Mubarak
published
2.79
Walter Bain
published
2.63
Emily Voeller
published 3
Patrick Mallory
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.

Mohamed Afifi + Leah Diehl7749% games−7.3% vs expected
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 · 10 lines in 2025
<1%75%25%
3.91
Jonathan Park
2W–6L career · no lines in 2025
1%92%7%
3.81
4
Clint Knox
4W–3L career · type S · no lines in 2025
5%94%1%
3.72
4
Leah Diehl
61W–51L career · 5 lines in 2025
46%54%<1%
3.51
3.5
Shiela Murali
21W–8L career · 5 lines in 2025
<1%80%20%
3.39
Nina Francis
2W–2L career · no lines in 2025
2%95%3%
3.25
Jimmy Carr
1W–4L career · no lines in 2025
99%1%<1%
3.22
Madeleine Norris
1W–2L career · no lines in 2025
1%90%10%
2.83
Moe Mubarak
9W–14L career · no lines in 2025
91%9%<1%
2.82
Walter Bain
1W–2L career · no lines in 2025
1%94%5%
2.79
3
Emily Voeller
2W–7L career · no lines in 2025
15%85%<1%
2.63
Padmanabha Kavasseri
1W–0L career · no lines in 2025
not enough data
Patrick Mallory
3W–6L 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.