Teams

WHRC-Becker/Melhorn

2026 Adult 65 & Over · 7.0 Men

10 players · average NTRP 3.3 · USTA/PACIFIC NW / NORTHERN OREGON

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Scouting

Roster averages 3.13 estimated across 9 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.

3.56
James Horen
usually #1 Doubles 78%, also #2 Doubles 11% · published 4
3.54
Stanley Mo
usually #2 Doubles 50%, also #3 Doubles 33% · published 3.5
3.44
Matt Thayer
usually #3 Doubles 56%, also #1 Doubles 22% · published 3.5
Andrew Kitchen
usually #2 Doubles 100% · published 3.5
3.25
Tony Humpage
usually #2 Doubles 33%, also #1 Doubles 33% · published 3.5
3.06
Mitchell Todd
usually #1 Doubles 44%, also #2 Doubles 33% · published 3
2.94
Mark Becker
usually #2 Doubles 50%, also #3 Doubles 25% · published 3
2.90
Thomas Mehlhorn
usually #1 Doubles 75%, also #3 Doubles 13% · published 3
2.77
Randolph Splitter
usually #3 Doubles 67%, also #1 Doubles 33% · published 3
2.70
William Pettis
usually #3 Doubles 57%, also #2 Doubles 43% · 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.

4
James Horen
99W–69L career
16%84%0%
3.56
3.5
Stanley Mo
37W–84L career
0%73%27%
3.54
3.5
Matt Thayer
91W–63L career
0%92%8%
3.44
3.5
Andrew Kitchen
14W–19L career
not enough data
3.5
Tony Humpage
99W–73L career
1%99%0%
3.25
3
Mitchell Todd
42W–39L career
0%65%35%
3.06
3
Mark Becker
15W–33L career · type A
0%87%13%
2.94
3
Thomas Mehlhorn
14W–15L career
0%92%8%
2.90
3
Randolph Splitter
7W–30L career
7%87%6%
2.77
3
William Pettis
14W–17L career
6%93%1%
2.70

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.