LOTC-Mounts/Rich

2026 Adult 55 & Over · 6.0 Men

10 players · average NTRP 3.05 · USTA/PACIFIC NW / NORTHERN OREGON

Scouting

Roster averages 2.86 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.

3.01

John Brady

usually #1 Doubles 100% · published 3

2.94

Wes Milligan

usually #3 Doubles 40%, also #1 Doubles 40% · published 3.5

2.91

Monte Gonzales

usually #1 Doubles 67%, also #3 Doubles 22% · published 3

2.86

Jim Mounts

usually #3 Doubles 100% · published 3

2.85

David Prescott

usually #3 Doubles 100% · published 3

2.85

Jeff Gonzales

usually #2 Doubles 80%, also #1 Doubles 20% · published 3

2.84

Paul Best

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

2.78

David Lomartire

usually #2 Doubles 80%, also #1 Doubles 20% · published 3

2.77

Jeff Mcdougald

usually #2 Doubles 50%, also #1 Doubles 50% · published 3

2.75

Scott Quinn

usually #2 Doubles 50%, also #3 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.

John Brady

71W–76L career

0%81%19%

3.01

3.5

Wes Milligan

128W–77L career

52%48%0%

2.94

Monte Gonzales

118W–97L career

0%95%5%

2.91

Jim Mounts

59W–65L career

0%96%3%

2.86

David Prescott

44W–47L career

1%91%8%

2.85

Jeff Gonzales

19W–58L career

0%97%3%

2.85

Paul Best

46W–76L career

0%97%2%

2.84

David Lomartire

21W–28L career

1%99%1%

2.78

Jeff Mcdougald

19W–16L career

1%98%1%

2.77

Scott Quinn

74W–62L career

1%99%0%

2.75

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.