← Teams

WHRC-Jennings

2023 Adult 55 & Over · 7.0 Men

11 players · average NTRP 3.39 · USTA/PACIFIC NW / NORTHERN OREGON

View scouting list →
Scouting

Roster averages 3.23 estimated across 5 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.

3.52
Stanley Mo
usually #1 Doubles 100% · published 3.5
3.42
Matt Thayer
usually #1 Doubles 75%, also #2 Doubles 25% · published 3.5
3.32
Frank Foti
published 3.5
—
Matt Bolte
usually #1 Doubles 60%, also #2 Doubles 40% · published 3.5
—
Richard Jennings
usually #2 Doubles 60%, also #3 Doubles 40% · published 3.5
—
Richard Press
usually #3 Doubles 100% · published 3.5
3.14
Simon Lofts
usually #1 Doubles 67%, also #3 Doubles 33% · published 3.5
2.76
Randolph Splitter
usually #3 Doubles 100% · published 3
—
Alan Potts
usually #3 Doubles 100% · published 3
—
Patrick Kirk
usually #2 Doubles 75%, also #3 Doubles 25% · published 0
—
Tim Anderson
usually #3 Doubles 67%, also #2 Doubles 33% · published 0
Results7 ties
2022-11-06Won 3–0
W#1 DoublesStanley Mo / Matt Bolte vs Mark Meyer / Dave Hall6-2, 6-3
W#2 DoublesFrank Foti / Richard Jennings vs Matthew Casimo / James Thomas6-0, 6-3
W#3 DoublesPatrick Kirk / Randolph Splitter vs Mark Hudspeth / Lawrence Reichman1-6, 7-6, 1-0
2022-10-23Lost 1–2
L#1 DoublesFrank Foti / Matt Bolte vs Doyoung Moon / Chinwoo Kim6-3, 6-3
L#2 DoublesTim Anderson / Patrick Kirk vs Joong Kim / James Yang6-3, 7-5
W#3 DoublesRichard Jennings / Richard Press vs N/A6-0, 6-0
2022-10-14Won 2–1
L#1 DoublesStanley Mo / Matt Thayer vs Brady Berry / Shawn Boyce3-6, 7-5, 1-0
W#2 DoublesFrank Foti / Matt Bolte vs Anish Vidyarthi / Craig Frasier6-4, 7-5
W#3 DoublesRichard Jennings / Simon Lofts vs N/A6-0, 6-0
2022-10-01Lost 0–2
L#1 DoublesSimon Lofts / Stanley Mo vs Hoon Shin / Min Lee7-5, 4-6, 1-0
L#2 DoublesRichard Jennings / Patrick Kirk vs Martin Jeffrey Binns / Vincent Robertson6-3, 2-6, 1-0
2022-09-26Won 3–0
W#1 DoublesStanley Mo / Simon Lofts vs Jeff Gonzales / Brian Cormier5-7, 6-2, 1-0
W#2 DoublesMatt Thayer / Richard Jennings vs Aaron Bowman / Clay Funkhouser6-4, 6-2
W#3 DoublesTim Anderson / Richard Press vs Jim Mounts / George Scott6-2, 6-1
2022-09-17Won 3–0
W#1 DoublesMatt Thayer / Matt Bolte vs Rick Raivio / Mark Muckerheide7-6, 6-2
W#2 DoublesFrank Foti / Patrick Kirk vs John Hapke / Steve Thunstedt6-4, 3-6, 1-0
W#3 DoublesRandolph Splitter / Tim Anderson vs Kimbal Logan / Augustin Belindean6-4, 4-6, 1-0
2022-09-12Won 2–1
W#1 DoublesStanley Mo / Matt Thayer vs Dan Wendling / Robert Shevlin6-4, 6-0
W#2 DoublesMatt Bolte / Frank Foti vs Scott Mayer / John van Leeuwen6-3, 5-7, 1-0
L#3 DoublesAlan Potts / Randolph Splitter vs Randy Nicholson / Bruce Trubo0-6, 6-3, 1-0
A tie can be incomplete. Tell us if someone is missing.
i
Grouped by tie — one fixture, several lines. A line shows only when a player on it is someone we have indexed, so an early-season tie for a newly-added team can look short. This also means the line count here will not match the header, which counts individual player appearances.
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.

3.5
Stanley Mo
37W–85L career
0%76%24%
3.52
3.5
Matt Thayer
91W–63L career
0%94%6%
3.42
3.5
Frank Foti
20W–21L career
3%90%7%
3.32
3.5
Matt Bolte
74W–78L career
not enough data
—
3.5
Richard Jennings
40W–66L career
not enough data
—
3.5
Richard Press
13W–23L career
not enough data
—
3.5
Simon Lofts
35W–53L career
12%88%0%
3.14
3
Randolph Splitter
7W–30L career
7%87%6%
2.76
3
Alan Potts
13W–41L career
not enough data
—
0
Patrick Kirk
14W–38L career
not enough data
—
0
Tim Anderson
10W–19L career
not enough data
—

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.