Teams

SAC-Boyce/Wheeler

2026 Adult 55 & Over · 7.0 Men

11 players · average NTRP 3.45 · USTA/PACIFIC NW / NORTHERN OREGON

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Scouting

Roster averages 3.17 estimated across 11 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.

3.30
Sam Ko
usually #2 Doubles 50%, also #3 Doubles 25% · published 3.5
3.29
Lei Wan
usually #2 Doubles 75%, also #3 Doubles 25% · published 3.5
3.28
Shawn Boyce
usually #3 Doubles 83%, also #1 Doubles 17% · published 3.5
3.26
Anish Vidyarthi
usually #1 Doubles 100% · published 3.5
3.22
Jeff Wheeler
usually #3 Doubles 100% · published 3.5
3.19
Joseph Gonzales
usually #1 Doubles 100% · published 3.5
3.16
Arjun Bilakanti
usually #2 Doubles 33%, also #1 Doubles 33% · published 3.5
3.10
Rajan Madhusudan
usually #1 Doubles 75%, also #2 Doubles 25% · published 3.5
3.08
Joshua Tran
usually #1 Doubles 50%, also #2 Doubles 50% · published 3.5
3.02
Jonathan Lo
usually #2 Doubles 100% · published 3.5
2.92
Donny Cablao
usually #3 Doubles 100% · published 3
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
Sam Ko
66W–81L career
0%98%1%
3.30
3.5
Lei Wan
25W–28L career
1%98%1%
3.29
3.5
Shawn Boyce
170W–125L career
0%99%0%
3.28
3.5
Anish Vidyarthi
45W–42L career
1%99%0%
3.26
3.5
Jeff Wheeler
30W–51L career
4%96%1%
3.22
3.5
Joseph Gonzales
5W–5L career
10%88%2%
3.19
3.5
Arjun Bilakanti
47W–107L career
5%95%0%
3.16
3.5
Rajan Madhusudan
94W–79L career
13%87%0%
3.10
3.5
Joshua Tran
42W–57L career
15%85%0%
3.08
3.5
Jonathan Lo
31W–59L career
28%72%0%
3.02
3
Donny Cablao
42W–50L career
0%84%15%
2.92

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.