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IRV-Johnson

2026 Adult 18 & Over · 4.0 Men

11 players · average NTRP 3.91 · USTA/PACIFIC NW / NORTHERN OREGON

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Scouting

Roster averages 3.67 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.

3.90
Mark King
usually #1 Doubles 64%, also #3 Doubles 18% · published 4
3.85
Adam Gamboa
usually #2 Doubles 50%, also #3 Doubles 25% · published 4
3.84
Nate Ford
usually #1 Doubles 80%, also #2 Doubles 20% · published 4
3.82
Max Breslau
usually #1 Doubles 100% · published 4
3.69
Brian Hendrickson
usually #2 Singles 63%, also #2 Doubles 25% · published 4
3.68
John Rake
usually #3 Doubles 50%, also #2 Doubles 50% · published 4
3.65
Willis Boyer
usually #3 Doubles 50%, also #2 Singles 50% · published 4
3.64
James Ringelberg
usually #3 Doubles 100% · published 4
3.55
Pete Jacobs
usually #1 Doubles 73%, also #3 Doubles 27% · published 3.5
3.53
Amir Tadjedin
usually #3 Doubles 100% · published 4
3.22
Scott Naugler
usually #1 Doubles 67%, also #2 Doubles 22% · 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.

4
Mark King
93W–54L career
0%97%3%
3.90
4
Adam Gamboa
69W–38L career
0%97%3%
3.85
4
Nate Ford
18W–13L career
0%96%4%
3.84
4
Max Breslau
5W–9L career · type S
2%92%6%
3.82
4
Brian Hendrickson
23W–50L career
3%97%0%
3.69
4
John Rake
16W–15L career
9%91%1%
3.68
4
Willis Boyer
75W–32L career
7%93%0%
3.65
4
James Ringelberg
73W–77L career
7%93%0%
3.64
3.5
Pete Jacobs
78W–40L career
0%68%32%
3.55
4
Amir Tadjedin
24W–19L career
32%67%0%
3.53
3.5
Scott Naugler
106W–59L career
1%99%0%
3.22

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.