Teams

MAC-Turnbull/McDonagh

2026 Adult 55 & Over · 8.0 Men

10 players · average NTRP 4 · USTA/PACIFIC NW / NORTHERN OREGON

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Scouting

Roster averages 3.77 estimated across 8 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.

4.02
Jim Fredericks
usually #1 Doubles 50%, also #2 Doubles 50% · published 4
3.99
Robert Torch
usually #1 Doubles 88%, also #3 Doubles 13% · published 4
3.85
John Helmer III
usually #3 Doubles 50%, also #2 Doubles 33% · published 4
Brian Rundle
usually #3 Doubles 100% · published 4
James Hockley
usually #3 Doubles 100% · published 4
3.73
Brian Posewitz
usually #2 Doubles 67%, also #1 Doubles 33% · published 4
3.70
William Hergenhan
usually #1 Doubles 50%, also #3 Doubles 50% · published 4
3.64
James Ringelberg
usually #3 Doubles 67%, also #2 Doubles 17% · published 4
3.63
Thomas Turnbull
usually #2 Doubles 50%, also #3 Doubles 50% · published 4
3.60
Patrick Herbst
usually #1 Doubles 100% · 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
Jim Fredericks
46W–9L career
0%72%28%
4.02
4
Robert Torch
61W–20L career
0%81%19%
3.99
4
John Helmer III
16W–22L career
0%96%4%
3.85
4
Brian Rundle
1W–2L career · type S
not enough data
4
James Hockley
31W–23L career · type S
not enough data
4
Brian Posewitz
45W–35L career
2%98%0%
3.73
4
William Hergenhan
56W–42L career
8%91%1%
3.70
4
James Ringelberg
73W–77L career
7%93%0%
3.64
4
Thomas Turnbull
86W–92L career
7%93%0%
3.63
4
Patrick Herbst
44W–45L career
18%82%0%
3.60

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.