Teams

SHC-Trank

2024 Mixed 18 & Over · 6.0 Mixed

9 players · average NTRP 3 · USTA/PACIFIC NW / NORTHERN OREGON

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Scouting

Roster averages 2.97 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.

3.40
James Jaeger
usually #1 Doubles 100% · published 3
2.96
Rachel Medrano
usually #1 Doubles 67%, also #2 Doubles 33% · published 3
2.90
Monte Gonzales
usually #2 Doubles 50%, also #1 Doubles 50% · published 3
2.90
Jennifer Trank
usually #2 Doubles 67%, also #1 Doubles 33% · published 3
2.85
Patrick Priest
usually #3 Doubles 50%, also #1 Doubles 25% · published 3
2.81
JAMES KYUNG
usually #2 Doubles 75%, also #3 Doubles 25% · published 3
Anne Hamburg
usually #1 Doubles 67%, also #3 Doubles 33% · published 3
Linnette Donohue
usually #2 Doubles 33%, also #3 Doubles 33% · published 3
Jeffrey Fuchs
usually #3 Doubles 50%, also #2 Doubles 50% · published 0
Results8 ties
2023-11-18Split 11
W#1 DoublesJennifer Trank / James Jaeger vs Lee Gates / Jeffrey Gates6-4, 7-5
L#2 DoublesLillian Lee / Patrick Priest vs Kai Zhang / Wei Hua6-1, 6-3
2023-11-11Won 20
W#1 DoublesPatrick Priest / Rachel Medrano vs Taylor Boyko / Ella Mills6-2, 7-6
W#2 DoublesJennifer Trank / Jeffrey Fuchs vs Charlie Hilton / Todd Fulscher6-2, 6-3
2023-11-04Lost 03
L#1 DoublesRachel Medrano / James Jaeger vs Sarah Shin / Kenny Wong6-0, 7-5
L#2 DoublesAmy Kaplan / JAMES KYUNG vs Jenica Susi / Timothy Le6-2, 6-3
L#3 DoublesAnne Hamburg / Adam Buchanan vs Liz Theeuws / Danny Tran6-4, 6-4
2023-10-08Lost 03
L#1 DoublesLinnette Donohue / Monte Gonzales vs Shannon Davis / Scott Tse7-5, 3-6, 1-0
L#2 DoublesLillian Lee / JAMES KYUNG vs Kate Oliver / John Brady6-1, 6-2
L#3 DoublesHeeseung Kang / Jeffrey Fuchs vs Yone Akagi / Ed de la Fuente6-3, 3-6, 1-0
2023-09-30Won 30
W#1 DoublesJames Jaeger / Anne Hamburg vs Scott Learn / Sydney Smith6-1, 6-0
W#2 DoublesJAMES KYUNG / Katie Simpson vs Miguel Diaz de Leon / Molly Slater6-1, 6-0
W#3 DoublesLinnette Donohue / Adam Buchanan vs Naylan Brady / Nadine Hazard6-4, 6-7, 1-0
2023-09-23Lost 12
L#1 DoublesKatie Simpson / James Jaeger vs Misug Kim / Yongseok Cheon3-6, 7-6, 1-0
W#2 DoublesLinnette Donohue / Monte Gonzales vs Janet Ha / Jose Hwang6-4, 2-6, 1-0
L#3 DoublesAmy Kaplan / Patrick Priest vs Na Yung Yu / Suhwan Kim6-2, 6-1
2023-09-16Lost 03
L#1 DoublesMonte Gonzales / Anne Hamburg vs Adriana McCord / Jody McCord6-1, 6-3
L#2 DoublesJennifer Trank / Adam Buchanan vs Emily Shue / Knoll Aguilar7-5, 6-1
L#3 DoublesPatrick Priest / Heeseung Kang vs Siam Fiaz / Anita Heredia6-1, 6-1
2023-09-10Won 21
W#1 DoublesJames Jaeger / Katie Simpson vs Matt McNair / Lori Peterson7-5, 6-0
L#2 DoublesMonte Gonzales / Rachel Medrano vs Marcus McNair / CHRISTINE McNair6-3, 6-2
W#3 DoublesJAMES KYUNG / Deena Bothello White vs Chris Cormack / Olga Senashova6-1, 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.

3
James Jaeger
41W–18L career
0%3%97%
3.40
3
Rachel Medrano
20W–14L career
0%85%15%
2.96
3
Monte Gonzales
118W–98L career
0%96%4%
2.90
3
Jennifer Trank
93W–104L career
0%96%4%
2.90
3
Patrick Priest
52W–49L career
0%97%3%
2.85
3
JAMES KYUNG
52W–66L career
0%99%1%
2.81
3
Anne Hamburg
7W–14L career
not enough data
3
Linnette Donohue
20W–28L career
not enough data
0
Jeffrey Fuchs
19W–18L career
not enough data

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.