PT&E/SJRC-Truong/Bui

2026 Adult 18 & Over · 4.5 Men

10 players · average NTRP 4.35 · USTA/PACIFIC NW / NORTHERN OREGON

Scouting

Roster averages 3.95 estimated across 9 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.

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Matt Sterling

usually #2 Singles 50%, also #2 Doubles 50% · published 4.5

4.15

Jason Mah

usually #1 Doubles 80%, also #2 Doubles 20% · published 4.5

4.14

Bao Bui

usually #1 Singles 70%, also #2 Doubles 20% · published 4.5

4.09

John Bui

usually #1 Doubles 60%, also #2 Doubles 20% · published 4.5

4.03

Franklin Truong

usually #2 Doubles 67%, also #1 Doubles 17% · published 4.5

3.95

Owen Chu

usually #2 Doubles 100% · published 4.5

3.93

Issei Saida

usually #1 Doubles 50%, also #3 Doubles 25% · published 4.5

3.87

Noah McPherson

usually #1 Doubles 44%, also #3 Doubles 44% · published 4

3.77

Vu Bui

usually #2 Singles 57%, also #3 Doubles 14% · published 4

3.65

Matt Deems

published 4

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

Matt Sterling

10W–15L career

not enough data

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4.5

Jason Mah

45W–24L career

4%96%1%

4.15

4.5

Bao Bui

38W–42L career

2%98%0%

4.14

4.5

John Bui

21W–39L career

8%91%0%

4.09

4.5

Franklin Truong

30W–52L career

13%87%0%

4.03

4.5

Owen Chu

30W–8L career

30%70%0%

3.95

4.5

Issei Saida

8W–22L career

34%66%0%

3.93

Noah McPherson

4W–6L career · type S

0%94%6%

3.87

Vu Bui

13W–55L career

1%99%0%

3.77

Matt Deems

92W–49L career

17%81%2%

3.65

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.