PT&E/SJRC-Truong 5.0

2024 Adult 18 & Over · 5.0 Men

3 players · average NTRP 4.5 · USTA/PACIFIC NW / NORTHERN OREGON

Scouting

Roster averages 4.23 estimated across 3 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.

4.59

Sage Katayama

usually #1 Doubles 47%, also #2 Doubles 33% · published 4.5

4.14

Bao Bui

published 4.5

3.97

Franklin Truong

usually #2 Doubles 46%, also #1 Doubles 27% · published 4.5

Results5 ties

2024-02-24Lost 0–1

L#2 DoublesJoe Mcroberts / Sage Katayama vs Eric Ledwith / Peter Dusicka6-3, 6-3

2024-02-03Split 1–1

W#1 DoublesRayden Murata / Sage Katayama vs Brandt Wegner / Jeremy Morris6-2, 6-4

L#2 DoublesFranklin Truong / Bao Bui vs Todd Klindt / Bill Terry6-3, 6-0

2024-02-02Lost 0–1

L#2 DoublesOtto Holtari / Franklin Truong vs John Closi / Ryan Goldsmith6-2, 6-2

2024-01-27Lost 0–1

L#2 DoublesFranklin Truong / Bao Bui vs Gram Leahy / Sergio Toledo6-0, 6-2

2024-01-20Lost 0–1

L#1 SinglesFranklin Truong vs Eddy Rodriguez6-2, 7-6

A tie can be incomplete. Tell us if someone is missing.

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.

4.5

Sage Katayama

58W–24L career

0%33%67%

4.59

4.5

Bao Bui

38W–42L career

2%98%0%

4.14

4.5

Franklin Truong

30W–52L career

25%75%0%

3.97

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.