N OR-SHC-Farrell

2026 Adult 55 & Over · 8.0 Men

10 players · average NTRP 3.95 · USTA/PACIFIC NW / NORTHERN OREGON

Scouting

Roster averages 3.65 estimated across 10 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.

4.20

Steve Fogg

usually #1 Doubles 67%, also #3 Doubles 17% · published 4.5

3.80

Patrick Trank

usually #1 Doubles 44%, also #2 Doubles 44% · published 4

3.76

Chris Eddy

usually #3 Doubles 50%, also #1 Doubles 25% · published 4

3.68

Matthew Trank

usually #2 Doubles 55%, also #1 Doubles 36% · published 4

3.67

John Major

usually #3 Doubles 50%, also #2 Doubles 50% · published 4

3.55

Pierre Burthey

usually #3 Doubles 33%, also #2 Doubles 33% · published 3.5

3.54

Jonathan Caplan

usually #3 Doubles 100% · published 4

3.45

Clark Cosart

usually #3 Doubles 100% · published 4

3.43

Daniel Heck

usually #2 Doubles 100% · published 3.5

3.42

Don Ormsby

usually #3 Doubles 50%, also #1 Doubles 50% · 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

Steve Fogg

84W–67L career

1%99%1%

4.20

Patrick Trank

87W–59L career

1%98%1%

3.80

Chris Eddy

63W–53L career

6%91%4%

3.76

Matthew Trank

78W–63L career

3%97%0%

3.68

John Major

9W–20L career

15%83%2%

3.67

3.5

Pierre Burthey

79W–47L career · type A

0%69%31%

3.55

Jonathan Caplan

37W–61L career

25%75%0%

3.54

Clark Cosart

61W–38L career

48%52%0%

3.45

3.5

Daniel Heck

12W–33L career

0%85%15%

3.43

Don Ormsby

21W–45L career

56%44%0%

3.42

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.