Teams

SDNC 4.5 Miramar College (SAT 12PM)/ Phan

2025 SoCal Fall Doubles WE · GNO- SDNC

8 players · average NTRP 4.50 / SAN DIEGO

View scouting list →
Schedule3 played
2025-11-08vs SDNC LLW 4.5 Lomas Santa Fe/ BooneLost 03
L#1 DoublesThuc Phan / Kyle Chung vs Kirk Spahn / Mark Volkmann1-6, 6-7
L#2 DoublesLong Huynh / Christopher Chan vs Michael Garcia / Todd Johansen2-6, 6-7
L#3 DoublesTri Phan / Mason Lebby vs Grant Watkins / Jacob Boone2-6, 6-3, 1-0
2025-10-26vs SDNC 4.5 FRCC/ MazzarelliWon 21
L#1 DoublesSean Bentley / Craig Noll vs Ovidiu Adam / Russell Silberstein6-7, 0-6
W#2 DoublesTri Phan / David Morton vs Marc Joseph / Eric Wang4-6, 7-6, 1-0
W#3 DoublesChristopher Chan / Long Huynh vs Todd Zuccarino / Stanton Greene6-1, 6-2
2025-10-05vs SDNC 4.5 SDTC/ MartinezLost 02
L#2 DoublesThuc Phan / Craig Noll vs Joseph Merrill / George Pritzker0-6, 1-6
L#3 DoublesDavid Morton / Tri Phan vs Aran Wong / Marty Martinez4-6, 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 GNO- 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 4.10 estimated across 2 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.

4.28
David Morton
usually #3 Doubles 50%, also #2 Doubles 50% · published 4.5
3.92
Craig Noll
usually #2 Doubles 50%, also #1 Doubles 50% · published 4.5
Kyle Chung
usually #1 Doubles 100% · published
Long Huynh
usually #2 Doubles 50%, also #3 Doubles 50% · published
Mason Lebby
usually #3 Doubles 100% · published
Sean Bentley
usually #1 Doubles 100% · published
Thuc Phan
usually #1 Doubles 50%, also #2 Doubles 50% · published
Tri Phan
usually #3 Doubles 67%, also #2 Doubles 33% · 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.

Sean Bentley + Mason Lebby2446% 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.

4.5
David Morton
4W–5L career · 2 lines in 2025
2%94%4%
4.28
4.5
Craig Noll
0W–8L career · 2 lines in 2025
72%28%<1%
3.92
Kyle Chung
0W–3L career · 1 line in 2025
not enough data
Long Huynh
1W–6L career · 2 lines in 2025
not enough data
Mason Lebby
2W–6L career · 1 line in 2025
not enough data
Sean Bentley
2W–6L career · 1 line in 2025
not enough data
Thuc Phan
0W–6L career · 2 lines in 2025
not enough data
Tri Phan
5W–9L career · 3 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.