Teams

SD 4.5 Balboa TC (9AM)/ Hwang

2024 SoCal Fall Doubles SD WE · SD Men 4.5

8 players · average NTRP 4.38 / SAN DIEGO

View scouting list →
Schedule9 played
2024-11-24Won 10
W#3 DoublesWill Garber / Wender Hwang vs Jamie Armstrong / Jeff Lin6-4, 3-6, 1-0
W#3 DoublesStuart Ridge / Andrew MacFarlane vs David Bracher / Joshua Sarsfield3-6, 6-1, 1-0
2024-11-03Won 10
W#3 DoublesWill Garber / Stuart Ridge vs Jamie Armstrong / Jeff Lin7-5, 6-4
2024-10-30vs SD 4.5 UCRC (2:30PM)/ DangWon 10
W#1 DoublesWill Garber / Stuart Ridge vs Kenny Hawkins / Tommy West6-4, 6-0
2024-10-13vs SD LLW 4.5 Santa's List TTC/ UdallLost 01
L#3 DoublesStuart Ridge / Jeff Ferguson vs Joe Udall / Thomas McCarthy5-7, 4-6
2024-10-06Won 10
W#2 DoublesAndrew MacFarlane / Stuart Ridge vs Daniel Norwood / Edwin Peart3-6, 6-1, 1-0
2024-09-26vs SD 4.5 UCRC (2:30PM)/ DangWon 10
W#1 DoublesAndrew MacFarlane / Stuart Ridge vs Joe Fernicola / Kent Kerner6-4, 6-3
2024-09-15vs SD 4.5 UCRC (2:30PM)/ DangWon 10
W#3 DoublesJeff Ferguson / Stuart Ridge vs Andrew Tek / Tommy West6-2, 7-6
2024-09-08vs SD LLW 4.5 Santa's List TTC/ UdallLost 01
L#2 DoublesStuart Ridge / Diego Sandoval vs Keaton Lu / Joshua Sarsfield2-6, 0-6
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 Men 4.5 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 4.17 estimated across 4 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.

4.29
Stuart Ridge
usually #3 Doubles 50%, also #2 Doubles 25% · published 4.5
4.25
Will Garber
usually #3 Doubles 67%, also #1 Doubles 33% · published 4.5
4.23
Andrew MacFarlane
published 4.5
3.92
Wender Hwang
usually #1 Doubles 50%, also #3 Doubles 50% · published 4
Jason Hom
published
Jeff Ferguson
published
Vidal Castillo
published
Vincent Chow
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.

Andrew MacFarlane + Stuart Ridge6153% gamesnot enough data
Will Garber + Stuart Ridge4156% gamesnot enough data
Wender Hwang + Will Garber123 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.

4.5
Stuart Ridge
108W–64L career · 8 lines in 2024
2%91%7%
4.29
4.5
Will Garber
93W–52L career · 3 lines in 2024
4%93%4%
4.25
4.5
Andrew MacFarlane
13W–3L career · no lines in 2024
5%92%3%
4.23
4
Wender Hwang
158W–79L career · 4 lines in 2024
<1%72%28%
3.92
Jason Hom
1W–1L career · no lines in 2024
not enough data
Jeff Ferguson
7W–4L career · no lines in 2024
not enough data
Vidal Castillo
5W–4L career · no lines in 2024
not enough data
Vincent Chow
5W–2L career · no lines in 2024
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.