Teams

MV-Harlan

2023 Adult 18 & Over · 3.5 Men

7 players · average NTRP 3.17 · USTA/PACIFIC NW / NORTHERN OREGON

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Scouting

Roster averages 3.00 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.

3.28
Jeff Marcus
usually #1 Doubles 83%, also #3 Doubles 17% · published 3.5
3.22
Robert Piercy
usually #1 Singles 75%, also #2 Singles 25% · published 3.5
3.12
Mister Archedon
published 3.5
3.05
Lee Wiegand
usually #2 Doubles 60%, also #1 Doubles 40% · published 3
Nathan Gwin
usually #1 Doubles 43%, also #3 Doubles 29% · published 3
2.34
Wesley Eader
usually #2 Singles 70%, also #3 Doubles 20% · published 2.5
Dennis Yalch
usually #3 Doubles 100% · published 0
Results9 ties
2023-05-17Lost 01
L#1 DoublesMister Archedon / Lee Wiegand vs Randy Boose / Vilath Oudomphong6-1, 6-0
2023-03-26Lost 03
L#1 DoublesJeff Marcus / Nathan Gwin vs Kiran Manda / Srinivasa Kanamatha6-0, 6-3
L#1 SinglesRobert Piercy vs Leo Edmunson6-3, 6-4
L#2 SinglesWesley Eader vs Phani Kumar Valluripalli6-3, 6-1
2023-03-18Lost 02
L#1 SinglesRobert Piercy vs Saril Valiyaparambil6-1, 6-2
L#2 SinglesWesley Eader vs Zach Walsh6-0, 6-1
2023-03-11Lost 04
L#1 DoublesMister Archedon / Lee Wiegand vs Austin Rice-Stitt / Frank Mathews6-1, 7-6
L#1 SinglesRobert Piercy vs Kyle McGovern6-1, 6-3
L#2 DoublesRichard Clark / Nathan Gwin vs Huy Bui / Andy Bracken6-1, 6-3
L#2 SinglesWesley Eader vs Alex McIntosh6-2, 6-1
2023-03-05Lost 23
W#1 DoublesJeff Marcus / Mister Archedon vs Kevin Jian / Sanh Trinh6-2, 4-6, 1-0
W#1 SinglesRobert Piercy vs Dan Tappan6-2, 6-7, 1-0
L#2 DoublesLee Wiegand / Kevin Sullivan vs Danny Tran / Kenny Wong6-4, 6-1
L#2 SinglesWesley Eader vs Jaime Perez6-4, 6-2
L#3 DoublesRichard Clark / Nathan Gwin vs Wei Li / Jered Cuenco7-5, 1-6, 1-0
2023-02-26Lost 13
L#1 DoublesNathan Gwin / Jeff Marcus vs Matt Deems / Zachary Meloche6-0, 6-0
L#1 SinglesRobert Piercy vs Josh Meyer6-1, 6-1
W#2 DoublesMister Archedon / Lee Wiegand vs Michael Jansen / Murray Jansen6-2, 2-6, 1-0
L#2 SinglesWesley Eader vs Quyen Wong6-0, 6-1
2023-01-22Lost 23
W#1 DoublesJeff Marcus / Kevin Sullivan vs Aaron Kohn / Jeff Streich6-3, 6-4
L#1 SinglesNathan Gwin vs Joshua Smith6-1, 6-4
L#2 DoublesMister Archedon / Lee Wiegand vs Ben Hoerster / Steve Harris6-4, 6-4
W#2 SinglesRobert Piercy vs John LaBarca6-3, 7-5
L#3 DoublesRichard Clark / Dennis Yalch vs Scott Naugler / Omar Martinez2-6, 6-2, 1-0
2023-01-14Lost 02
L#1 DoublesJeff Marcus / Nathan Gwin vs Srinivasa Kanamatha / Kiran Manda6-3, 6-2
L#1 SinglesRobert Piercy vs Leo Edmunson6-3, 6-2
2023-01-07Won 21
L#1 SinglesWesley Eader vs Dirk Jacobs6-2, 6-4
W#2 SinglesRobert Piercy vs Bob O'Halloran6-3, 6-3
W#3 DoublesJeff Marcus / Nathan Gwin vs Brian Clare / Matthew Casimo6-2, 0-6, 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
Jeff Marcus
34W–49L career
2%95%3%
3.28
3.5
Robert Piercy
88W–79L career
1%99%0%
3.22
3.5
Mister Archedon
108W–47L career
7%93%0%
3.12
3
Lee Wiegand
62W–61L career · type A
0%70%30%
3.05
3
Nathan Gwin
26W–33L career
not enough data
2.5
Wesley Eader
55W–103L career · type A
0%79%21%
2.34
0
Dennis Yalch
14W–26L 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.