Teams

N OR-Tran

2024 One Doubles · 4.0 Men

2 players · average NTRP 4 · USTA/PACIFIC NW / NORTHERN OREGON

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Scouting

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.

Tin Duong
usually #1 Doubles 100% · published 4
Truc Tran
usually #1 Doubles 100% · published 4
Results8 ties
2024-08-10Won 10
W#1 DoublesTin Duong / Matthew Nguyen vs Tom Lux / Damon Ogden3-6, 6-3, 1-0
2024-08-09Won 10
W#1 DoublesTin Duong / Truc Tran vs N/A6-0, 6-0
2024-08-09Won 10
W#1 DoublesTin Duong / Truc Tran vs Matt Deems / Zachary Meloche6-4, 6-3
2024-08-08Won 10
W#1 DoublesMatthew Nguyen / Truc Tran vs Dean Gaylor / JT Smith5-7, 6-2, 1-0
2024-08-08Won 10
W#1 DoublesMinh Nguyen / Tin Duong vs Finn Chenevert / Samuel Crawford7-5, 6-3
2024-07-27Won 10
W#1 DoublesTruc Tran / Matthew Nguyen vs Finn Chenevert / Samuel Crawford7-6, 6-0
2024-07-25Won 10
W#1 DoublesMinh Nguyen / Tin Duong vs Agus Rusli / Michael Shin6-4, 6-2
2024-07-24Won 10
W#1 DoublesTruc Tran / Tin Duong vs Alex Rand / Pattarapong Limthianlee6-4, 6-2
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.
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.

4
Tin Duong
27W–9L career
not enough data
4
Truc Tran
67W–43L career
not enough data

Three percentages are the year-end projection — chance of moving down, staying, moving up — and the number on the right is our estimated dynamic rating, which USTA never publishes. 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.