Teams

MPRC-Voravongseng/Clark

2026 Adult 40 & Over · 3.5 Men

14 players · average NTRP 3.46 · USTA/PACIFIC NW / NORTHERN OREGON

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Scouting

Roster averages 3.33 estimated across 14 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.

3.48
Matt Hagen
usually #1 Singles 50%, also #3 Doubles 25% · published 3.5
3.46
Jim DeWeese
usually #1 Doubles 50%, also #2 Doubles 25% · published 3.5
3.45
Anil Khanna
usually #2 Doubles 80%, also #3 Doubles 20% · published 3.5
3.37
Tyler Clark
usually #1 Doubles 40%, also #2 Doubles 40% · published 3.5
3.32
Jeffrey Gates
usually #1 Doubles 71%, also #1 Singles 14% · published 3.5
3.31
Nate Brusselback
usually #2 Doubles 67%, also #3 Doubles 33% · published 3
3.31
Lamone Voravongseng
usually #1 Doubles 100% · published 3.5
3.31
Rick Wong
usually #1 Doubles 100% · published 3.5
3.29
John Blanchard
usually #3 Doubles 100% · published 3.5
3.28
Ray Lee
usually #1 Singles 100% · published 3.5
3.28
Bryan Shieh
usually #2 Doubles 67%, also #3 Doubles 33% · published 3.5
3.27
Eric Ayers
usually #3 Doubles 100% · published 3.5
3.26
Robert Wei
usually #2 Doubles 100% · published 3.5
3.19
Xiaolin Nan
usually #3 Doubles 50%, also #2 Doubles 50% · published 3.5
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.

3.5
Matt Hagen
17W–25L career
0%83%17%
3.48
3.5
Jim DeWeese
89W–73L career
0%89%11%
3.46
3.5
Anil Khanna
43W–26L career
0%87%13%
3.45
3.5
Tyler Clark
46W–25L career
0%96%4%
3.37
3.5
Jeffrey Gates
101W–93L career
0%99%1%
3.32
3
Nate Brusselback
11W–2L career · type S
0%8%92%
3.31
3.5
Lamone Voravongseng
82W–52L career
0%99%1%
3.31
3.5
Rick Wong
51W–50L career
1%97%2%
3.31
3.5
John Blanchard
7W–5L career
6%87%7%
3.29
3.5
Ray Lee
35W–19L career
2%96%2%
3.28
3.5
Bryan Shieh
44W–48L career
2%95%3%
3.28
3.5
Eric Ayers
77W–67L career
1%98%1%
3.27
3.5
Robert Wei
26W–22L career
2%96%1%
3.26
3.5
Xiaolin Nan
42W–31L career
4%96%0%
3.19

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.