Teams

SD LT Balboa TC/ Agra

2025 SoCal Tri-Level Doubles WE- Summer SD · SDNC

14 players · average NTRP 3.62 / 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 →
Schedule2 played
2025-08-23vs SD LT Balboa TC/ WolpertWon 21
W#1 DoublesJoel Corrales / Jeff Hines vs George Benakos / Edgar Vigil6-3, 6-2
L#2 DoublesKeondre Taylor / Josh Yu vs Daniel Lara / Gil Squire0-6, 0-6
W#3 DoublesSoda Lam / Kyle Granali vs Samnang Rim / Spondee Shenn7-6, 3-6, 1-0
2025-07-12vs SD LT Balboa TC/ WolpertLost 03
L#1 DoublesJeff Hines / Zachary Hayes vs George Benakos / Christopher Barrera2-6, 6-7
L#2 DoublesCesar Torres / Francis Lomibao vs Woody WU / Soon Chye Ho1-6, 4-6
L#3 DoublesJosh Yu / Jeff Strack vs Spondee Shenn / Samnang Rim1-6, 2-6
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 SDNC 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 3.32 estimated across 8 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.

3.66
Tybun Ferguson
published 4
3.62
Joel Corrales
usually #1 Doubles 100% · published
3.46
Cody Heitzman
published 3.5
3.40
Zachary Hayes
usually #1 Doubles 100% · published
3.27
Cesar Torres
usually #2 Doubles 100% · published 3.5
3.26
James Agra
published 3.5
2.97
Tony Andrade
published
2.93
Kyle Granali
usually #3 Doubles 100% · published
Francis Lomibao
usually #2 Doubles 100% · published
Jeff Hines
usually #1 Doubles 100% · published
Jeff Strack
usually #3 Doubles 100% · published
Josh Yu
usually #2 Doubles 50%, also #3 Doubles 50% · published
Keondre Taylor
usually #2 Doubles 100% · published
Soda Lam
usually #3 Doubles 100% · 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.

James Agra + Joel Corrales5059% games+4.3% 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
Tybun Ferguson
5W–13L career · no lines in 2025
13%86%1%
3.66
Joel Corrales
17W–1L career · 1 line in 2025
<1%20%80%
3.62
3.5
Cody Heitzman
3W–1L career · type S · no lines in 2025
<1%62%38%
3.46
Zachary Hayes
4W–2L career · 1 line in 2025
<1%75%24%
3.40
3.5
Cesar Torres
3W–2L career · 1 line in 2025
3%92%5%
3.27
3.5
James Agra
11W–6L career · no lines in 2025
3%92%4%
3.26
Tony Andrade
0W–6L career · no lines in 2025
58%42%<1%
2.97
Kyle Granali
4W–5L career · 1 line in 2025
70%30%<1%
2.93
Francis Lomibao
0W–3L career · 1 line in 2025
not enough data
Jeff Hines
1W–1L career · 2 lines in 2025
not enough data
Jeff Strack
0W–2L career · 1 line in 2025
not enough data
Josh Yu
1W–3L career · 2 lines in 2025
not enough data
Keondre Taylor
0W–1L career · 1 line in 2025
not enough data
Soda Lam
1W–0L career · 1 line 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.