Teams

Bagel Boys

2024 One Doubles · 3.5 Men

5 players · average NTRP 3.5 · USTA/PACIFIC NW / NORTHERN OREGON

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Scouting

Roster averages 3.31 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.

3.49
Zach Walsh
usually #1 Doubles 100% · published 3.5
3.32
Subramanyan Murali
usually #1 Doubles 100% · published 3.5
3.28
Bob O'Halloran
usually #1 Doubles 100% · published 3.5
3.25
Andrew Narus
published 3.5
3.20
Joe Malboeuf
usually #1 Doubles 100% · published 3.5
Results3 ties
2024-08-03Lost 01
L#1 DoublesSubramanyan Murali / Joe Malboeuf vs Huy Bui / Austin Rice-Stitt6-0, 6-1
2024-07-25Won 10
W#1 DoublesJoe Malboeuf / Zach Walsh vs Chris Simpson / Greg Marx6-1, 6-3
2024-07-11Lost 01
L#1 DoublesBob O'Halloran / Subramanyan Murali vs Sean McKinnie / Matthew Weinstock6-4, 6-2
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
Zach Walsh
20W–19L career
0%74%25%
3.49
3.5
Subramanyan Murali
8W–7L career
1%96%3%
3.32
3.5
Bob O'Halloran
16W–43L career
1%97%2%
3.28
3.5
Andrew Narus
9W–10L career
8%87%5%
3.25
3.5
Joe Malboeuf
62W–50L career
3%97%0%
3.20

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.