Teams

McGirk-Pickleball Sucks!

2022 One Doubles · 4.5 Men

2 players · average NTRP 4.75 · USTA/PACIFIC NW / NORTHERN OREGON

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Scouting

Roster averages 3.95 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.

Elijah Nelson
usually #1 Doubles 100% · published 5
3.95
Thomas McGirk
usually #1 Doubles 100% · published 4.5
Results6 ties
2022-08-10Lost 01
L#1 DoublesThomas McGirk / Kasi Muthu vs Jordan Burns / Toby Krauel5-7, 6-1, 1-0
2022-08-07Won 10
W#1 DoublesThomas McGirk / Elijah Nelson vs Andrew Nilsson / Jimmy Crumpacker6-2, 7-6
2022-07-12Won 10
W#1 DoublesThomas McGirk / Kasi Muthu vs Michael Laport / Tony Szymczak6-4, 6-0
2022-06-29Won 10
W#1 DoublesKasi Muthu / Elijah Nelson vs John Bard / Jordan Burns6-1, 7-6
2022-06-26Won 10
W#1 DoublesThomas McGirk / Elijah Nelson vs Nathan Austin / Brendan Cunningham6-2, 6-2
2022-06-25Won 10
W#1 DoublesThomas McGirk / Ryan Mitchell vs Zach Bergthold / Levi Huddleston6-1, 6-1
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.

5
Elijah Nelson
98W–31L career
not enough data
4.5
Thomas McGirk
56W–73L career
25%75%0%
3.95

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.