← TeamsN OR-MPRC-Alfonso
2025 Mixed 18 & Over · 5.0 Mixed
7 players · average NTRP 2.86 · USTA/PACIFIC NW / NORTHERN OREGON
Scouting
Roster averages 2.72 estimated across 6 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.
3.11
Wei Huausually #3 Doubles 43%, also #2 Doubles 29% · published 3
2.75
Ye Jiangusually #1 Doubles 67%, also #3 Doubles 33% · published 3
2.75
Craig Tompkinsusually #2 Doubles 57%, also #1 Doubles 29% · published 3
2.65
Jing Bennettusually #2 Doubles 40%, also #1 Doubles 40% · published 3
Results5 ties
2024-11-24Won 1–0
W#2 DoublesMasataka Hayashi / Elizabeth Yutan vs Paul Choi / Woojin Lee6-1, 6-2
2024-11-02Won 1–0
W#2 DoublesMasataka Hayashi / Elizabeth Yutan vs Sidney Clarke / Bill Henry6-3, 6-4
2024-10-20Won 1–0
W#2 DoublesXiaobo Dai / Craig Tompkins vs Anca Ilau / Victor ILAU5-7, 6-0, 1-0
2024-10-12Lost 0–1
L#2 DoublesCraig Tompkins / Xiaobo Dai vs Cory Sebastian / Paul Ecker6-4, 6-2
2024-09-07Won 1–0
W#2 DoublesElizabeth Yutan / Masataka Hayashi vs Paul Ecker / Cory Sebastian6-2, 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.
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.