Teams

HBSQ-Boone

2022 Mixed 18 & Over · 9.0

1 players · average NTRP 4.5 · USTA/PACIFIC NW / NORTHWEST WASHINGTON

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Scouting

Roster averages 4.09 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.

4.09
Martin Uylangco
usually #1 Doubles 56%, also #2 Doubles 31% · published 4.5
Results8 ties
2021-11-21Won 10
W#1 DoublesMartin Uylangco / MacKenzie Wilkins vs Joel Bodine / Michelle Nguyen7-5, 6-2
2021-11-14Lost 01
L#2 DoublesMartin Uylangco / Kelly Lesoing vs Chunyan Xie / Alec DeSouza6-4, 6-3
2021-11-07Won 10
W#3 DoublesMartin Uylangco / Elizabeth Gorey vs Ashley Chen / Jayson Shieh0-6, 6-3, 1-0
2021-11-06Won 10
W#3 DoublesMartin Uylangco / Missy Boone vs Lena Arafa / Matthew Cao6-3, 6-3
2021-10-31Won 10
W#2 DoublesMacKenzie Wilkins / Martin Uylangco vs James Cocke / Carmen Dolfo-Garrison6-2, 6-2
2021-10-30Lost 01
L#1 DoublesMartin Uylangco / Missy Boone vs Jeffrey Abram / Shelley Miksis7-5, 7-5
2021-10-23Won 10
W#2 DoublesMartin Uylangco / Crystal Vo vs Adriano Saitta / Nicole Forbord7-6, 7-5
2021-10-01Won 10
W#1 DoublesMissy Boone / Martin Uylangco vs Aaron Coe / Leigh Anne Dunkin6-3, 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.

4.5
Martin Uylangco
85W–50L career
4%96%0%
4.09

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.