Teams

THPRD-Hong 8.0

2023 Mixed 18 & Over · 8.0 Mixed

10 players · average NTRP 4.1 · USTA/PACIFIC NW / NORTHERN OREGON

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Scouting

Roster averages 3.74 estimated across 9 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.

Jacob Velasco
usually #3 Doubles 71%, also #1 Doubles 29% · published 4.5
4.09
Rebecca Yu
usually #2 Doubles 86%, also #1 Doubles 14% · published 4.5
4.03
Eric Furuya
usually #1 Doubles 67%, also #2 Doubles 33% · published 4.5
4.00
Mingyang Liu
usually #1 Doubles 50%, also #3 Doubles 25% · published 4.5
3.78
Shane Wilson
published 4
3.75
Jin Velasco
usually #1 Doubles 67%, also #3 Doubles 33% · published 4
3.74
Colleen Nolan
usually #1 Doubles 50%, also #2 Doubles 30% · published 4
3.54
Leah Buxman
usually #3 Doubles 75%, also #2 Doubles 25% · published 4
3.46
Jonathan Hong
usually #1 Doubles 50%, also #2 Doubles 38% · published 3.5
3.25
Jordan Keomanivanh
usually #3 Doubles 67%, also #1 Doubles 17% · published 3.5
Results8 ties
2022-11-20Split 11
L#2 DoublesJordan Keomanivanh / Leah Buxman vs Jonathan Quon / Karen Groenweghe6-1, 6-4
W#3 DoublesSara van Beckum / Jacob Velasco vs John McLain / Kris Kelly-Koster6-4, 6-2
2022-11-19Won 30
W#1 DoublesColleen Nolan / Mingyang Liu vs Brianna Hill / Bao Bui7-5, 7-5
W#2 DoublesRebecca Yu / Adam Oken vs Aidan Lee / Brandie Hill6-1, 6-1
W#3 DoublesSara van Beckum / Jacob Velasco vs Elizabeth Lilly / Julian Miller6-1, 6-1
2022-11-12Won 10
W#1 DoublesEric Furuya / Colleen Nolan vs Mark King / Rebecca Martinez Griffin6-4, 6-3
2022-10-30Lost 12
W#1 DoublesJacob Velasco / Jin Velasco vs Carly Vendegna / Eugene Jung6-2, 6-3
L#2 DoublesCindy del Rosario / Mingyang Liu vs Chris Collins / May Albano6-3, 6-4
L#3 DoublesJordan Keomanivanh / Colleen Nolan vs Brad Ouderkirk / Christy Strange6-4, 7-5
2022-10-29Won 30
W#1 DoublesJacob Velasco / Jin Velasco vs Dongju Won / Albert Hensley6-4, 6-4
W#2 DoublesRebecca Yu / Adam Oken vs Ren Toshié Miura / Roshen Warrier7-6, 6-1
W#3 DoublesShane Wilson / Leah Buxman vs Jian Xu / Rahul Chatterjee6-4, 6-3
2022-10-23Lost 12
L#1 DoublesJonathan Hong / Kirsten Holmes vs Brooke Daugherty / Bill Rhoades6-1, 6-0
W#2 DoublesEric Furuya / Colleen Nolan vs Carol Woolman / Eric Anderson7-6, 7-6
L#3 DoublesSara van Beckum / Jacob Velasco vs Raini Spitze / Jason Hyde2-6, 6-4, 1-0
2022-10-22Lost 12
L#1 DoublesCindy del Rosario / Mingyang Liu vs Sarah Ferrer / Nick Hooker7-6, 6-4
W#2 DoublesRebecca Yu / Kieran Foreman vs Kevin Jarvis / Mary Green-Zwemke6-3, 6-7, 1-0
L#3 DoublesJonathan Hong / Leah Buxman vs William Creger / Ellen Mader6-3, 7-5
2022-10-15Lost 12
L#1 DoublesCindy del Rosario / Eric Furuya vs Kaytlynn Kolb / Cord Speelman4-6, 6-4, 1-0
L#2 DoublesSara van Beckum / Jonathan Hong vs Hanna Jensen / Wes Schalk6-1, 6-2
W#3 DoublesColleen Nolan / Mingyang Liu vs Jennifer Andrieu / Johnny Ung7-6, 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.

4.5
Jacob Velasco
62W–14L career
not enough data
4.5
Rebecca Yu
64W–49L career
4%96%0%
4.09
4.5
Eric Furuya
17W–42L career
17%83%0%
4.03
4.5
Mingyang Liu
25W–26L career
17%83%0%
4.00
4
Shane Wilson
15W–13L career
1%97%2%
3.78
4
Jin Velasco
69W–35L career
6%91%4%
3.75
4
Colleen Nolan
177W–79L career
1%99%0%
3.74
4
Leah Buxman
113W–106L career
23%77%0%
3.54
3.5
Jonathan Hong
92W–73L career
0%80%20%
3.46
3.5
Jordan Keomanivanh
51W–86L career
1%99%0%
3.25

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.