Teams

Marx

2023 One Doubles · 3.5 Men

2 players · average NTRP 3.25 · USTA/PACIFIC NW / NORTHERN OREGON

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Scouting

Roster averages 2.94 estimated across 1 rated player. 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.

Greg Marx
usually #1 Doubles 100% · published 3.5
2.94
Chris Simpson
usually #1 Doubles 100% · published 3
Results8 ties
2023-08-12Lost 01
L#1 DoublesGreg Marx / Chris Simpson vs Robert Broad / Seth Yount6-2, 6-4
2023-08-01Lost 01
L#1 DoublesGreg Marx / Chris Simpson vs Stephen Crook / Matt Savage7-5, 7-6
2023-07-31Lost 01
L#1 DoublesGreg Marx / Chris Simpson vs Mister Archedon / Lee Wiegand6-1, 7-5
2023-07-25Lost 01
L#1 DoublesGreg Marx / Douglas Hill vs Peter Johnson / Huy Bui6-1, 7-5
2023-07-24Won 10
W#1 DoublesGreg Marx / Chris Simpson vs Mister Archedon / Lee Wiegand6-3, 1-6, 1-0
2023-07-23Lost 01
L#1 DoublesChris Simpson / Greg Marx vs Matt Deems / Josh Meyer6-0, 6-1
2023-07-13Lost 01
L#1 DoublesGreg Marx / Douglas Hill vs Robert Glenn / Ryan Owens5-7, 6-1, 1-0
2023-06-16Lost 01
L#1 DoublesGreg Marx / Chris Simpson vs Bob O'Halloran / Andrew Narus6-1, 6-3
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
Greg Marx
14W–20L career
not enough data
3
Chris Simpson
51W–40L career
0%92%8%
2.94

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.