Teams

N OR-LCC-Schweitz

2024 Adult 18 & Over · 5.0 Men

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

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Scouting

Roster averages 4.24 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.

Phalkun Mam
usually #2 Doubles 71%, also #1 Doubles 29% · published 5
4.24
Josh Schweitz
published 4.5
Results7 ties
2024-08-09Lost 01
L#2 DoublesPhalkun Mam / Christopher Sackmann vs Shannon Nelson / Alex Braksator7-6, 6-4
2024-07-14Lost 01
L#1 DoublesAmy Juppenlatz Sweet / Phalkun Mam vs Alex Namba / Dora Tzeng7-6, 6-3
2024-03-31Won 10
W#2 DoublesDyllan Fitzgerald / Phalkun Mam vs N/A6-0, 6-0
2024-03-30Lost 01
L#1 DoublesPhalkun Mam / Paxton Deuel vs Erik Grimes / Paul Reber6-2, 6-3
2024-03-02Won 10
W#2 DoublesPhalkun Mam / Paxton Deuel vs Joe Mcroberts / Bao Bui6-1, 6-1
2024-02-04Lost 01
L#2 DoublesPhalkun Mam / Paxton Deuel vs Chris Lilley / Rox Rogers0-6, 6-2, 1-0
2024-01-28Won 10
W#2 DoublesPhalkun Mam / Paxton Deuel vs Gordon Barrows / Brenden Barrows6-4, 7-6
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
Phalkun Mam
44W–29L career
not enough data
4.5
Josh Schweitz
58W–30L career
0%98%2%
4.24

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.