SAC-Wheeler/Harvey

2026 Adult 65 & Over · 7.0 Men

10 players · average NTRP 3.35 · USTA/PACIFIC NW / NORTHERN OREGON

Scouting

Roster averages 3.10 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.

3.48

Eric Means

usually #2 Doubles 100% · published 4

3.32

Jeffrey Bayless

usually #2 Doubles 60%, also #1 Doubles 40% · published 3.5

3.29

Lei Wan

usually #1 Doubles 67%, also #3 Doubles 33% · published 3.5

3.22

Jeff Wheeler

usually #2 Doubles 60%, also #1 Doubles 20% · published 3.5

3.18

Charles Gebhardt

usually #2 Doubles 67%, also #1 Doubles 33% · published 3.5

3.13

John Bergin

usually #2 Doubles 50%, also #1 Doubles 25% · published 3.5

2.92

Donny Cablao

usually #3 Doubles 100% · published 3

2.87

Lee Anderson

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

2.85

Jeff Gonzales

usually #3 Doubles 60%, also #2 Doubles 40% · published 3

2.74

Brian Harvey

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

Eric Means

26W–48L career

40%60%0%

3.48

3.5

Jeffrey Bayless

130W–100L career

0%99%1%

3.32

3.5

Lei Wan

25W–28L career

1%98%1%

3.29

3.5

Jeff Wheeler

30W–51L career

4%96%1%

3.22

3.5

Charles Gebhardt

12W–25L career

14%83%3%

3.18

3.5

John Bergin

16W–27L career

17%82%1%

3.13

Donny Cablao

42W–50L career

0%84%15%

2.92

Lee Anderson

45W–53L career

0%93%6%

2.87

Jeff Gonzales

19W–58L career

0%97%3%

2.85

Brian Harvey

15W–20L career

4%95%1%

2.74

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.