Teams

SAC-Ferschweiler

2026 Adult 18 & Over · 3.5 Men

11 players · average NTRP 3.41 · USTA/PACIFIC NW / NORTHERN OREGON

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Scouting

Roster averages 3.26 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.

3.54
Matt Zhou
usually #1 Doubles 63%, also #2 Doubles 38% · published 3.5
3.48
Vivek Mano
usually #2 Singles 50%, also #1 Doubles 33% · published 3.5
3.41
Srinivasa Kanamatha
usually #1 Doubles 89%, also #2 Doubles 11% · published 3.5
3.35
Shawn Yu
usually #2 Doubles 60%, also #1 Doubles 40% · published 3.5
3.34
Frank Ferschweiler
usually #2 Doubles 83%, also #2 Singles 17% · published 3.5
3.33
Jihoon Bang
usually #2 Doubles 57%, also #3 Doubles 43% · published 3.5
3.29
Hao Zhou
usually #1 Doubles 50%, also #1 Singles 50% · published 3.5
3.22
Mubashir Cheema
usually #3 Doubles 50%, also #2 Doubles 25% · published 3.5
3.03
Joshua Kingsbury
usually #1 Singles 67%, also #3 Doubles 33% · published 3
2.99
Myung-Gi Ji
usually #3 Doubles 60%, also #2 Doubles 20% · published 3.5
2.87
Steve Elmer
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
Matt Zhou
63W–65L career
0%71%29%
3.54
3.5
Vivek Mano
36W–21L career
0%84%16%
3.48
3.5
Srinivasa Kanamatha
73W–55L career
0%95%5%
3.41
3.5
Shawn Yu
27W–43L career
0%96%4%
3.35
3.5
Frank Ferschweiler
77W–41L career
0%98%2%
3.34
3.5
Jihoon Bang
57W–41L career
0%99%1%
3.33
3.5
Hao Zhou
8W–6L career
1%97%2%
3.29
3.5
Mubashir Cheema
71W–74L career
2%97%0%
3.22
3
Joshua Kingsbury
16W–24L career
0%69%31%
3.03
3.5
Myung-Gi Ji
9W–18L career
37%63%0%
2.99
3
Steve Elmer
61W–77L career
0%94%6%
2.87

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.