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THPRD-Lee/Park

2023 Mixed 18 & Over · 6.0 Mixed

9 players · average NTRP 3.17 · USTA/PACIFIC NW / NORTHERN OREGON

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Scouting

Roster averages 3.14 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.

3.47
Chinwoo Kim
usually #1 Doubles 67%, also #2 Doubles 33% · published 3.5
3.32
Jihoon Bang
usually #1 Doubles 75%, also #2 Doubles 25% · published 3.5
3.25
Yongseok Cheon
usually #2 Doubles 75%, also #3 Doubles 25% · published 3
3.21
Manoj Pandya
usually #2 Doubles 60%, also #3 Doubles 20% · published 3.5
3.20
Mihee Park
usually #3 Doubles 60%, also #1 Doubles 20% · published 3
3.11
Mihye Ko
usually #3 Doubles 40%, also #2 Doubles 40% · published 3
2.94
Misug Kim
usually #1 Doubles 75%, also #3 Doubles 25% · published 3
2.90
Dawan Pandya
usually #2 Doubles 75%, also #1 Doubles 25% · published 3
2.90
Jinmi Kemple
usually #2 Doubles 50%, also #3 Doubles 25% · published 3
Results8 ties
2022-11-19Won 2–0
W#1 DoublesMisug Kim / Daniel M Kim vs Bridget Kaiel / Lech Kaiel7-5, 6-3
W#2 DoublesDawan Pandya / Yongseok Cheon vs Genevieve Rollier / Paul Ecker7-5, 6-2
2022-11-12Won 3–0
W#1 DoublesDawan Pandya / Jihoon Bang vs N/A6-0, 6-0
W#2 DoublesJinmi Kemple / Yongseok Cheon vs N/A6-0, 6-0
W#3 DoublesMihye Ko / JIN PARK vs N/A6-0, 6-0
2022-10-29Won 3–0
W#1 DoublesMihye Ko / Chinwoo Kim vs Trinity Treat / Richard Mendez6-1, 6-4
W#2 DoublesDawan Pandya / Manoj Pandya vs Kristin Morris / Nasser Khan6-2, 7-5
W#3 DoublesMihee Park / Jason Lee vs Jessica Dalpiaz / Brian Craighill6-4, 0-6, 1-0
2022-10-22Lost 1–2
L#1 DoublesJinmi Kemple / Jihoon Bang vs Nicola Ash / Nick Hooker1-6, 7-6, 1-0
W#2 DoublesMihye Ko / Chinwoo Kim vs Jane Paulsen / Christian Paulsen6-4, 7-5
L#3 DoublesMihee Park / Jason Lee vs Wendi Ouellette / Erik Bucher6-2, 6-2
2022-10-08Won 3–0
W#1 DoublesMisug Kim / Daniel M Kim vs Nina Church-Adams / Tom Church-Adams6-0, 6-0
W#2 DoublesDawan Pandya / Manoj Pandya vs Jennifer Trank / Chris McLaughlin6-0, 6-3
W#3 DoublesJinmi Kemple / Yongseok Cheon vs N/A6-0, 6-0
2022-09-23Lost 1–2
L#1 DoublesChinwoo Kim / Na Yung Yu vs Constance Erickson / Shawn Boyce6-4, 6-2
L#2 DoublesJihoon Bang / Mihee Park vs Janna McDougall / Hoon Shin6-1, 6-4
W#3 DoublesDaniel M Kim / Misug Kim vs Melissa Tom / Sheldon Sun6-0, 6-1
2022-09-18Won 3–0
W#1 DoublesMisug Kim / Daniel M Kim vs Genevieve Rollier / Jared Rollier6-7, 6-3, 1-0
W#2 DoublesMihye Ko / Manoj Pandya vs Brooke Kuerbis / Lech Kaiel6-4, 6-0
W#3 DoublesMihee Park / Jason Lee vs Paul Ecker / Andrea Cedfeldt6-1, 6-2
2022-09-11Won 3–0
W#1 DoublesMihee Park / Jihoon Bang vs Dorothy Cofield / Nick Ehnot6-1, 6-1
W#2 DoublesJinmi Kemple / Yongseok Cheon vs Melissa Jacobs / Peter Schulman6-2, 6-0
W#3 DoublesMihye Ko / JIN PARK vs Ellen Wood / Jeff Kovel6-2, 6-4
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.

3.5
Chinwoo Kim
90W–54L career
0%86%14%
3.47
3.5
Jihoon Bang
57W–41L career
0%99%1%
3.32
3
Yongseok Cheon
65W–28L career
0%14%86%
3.25
3.5
Manoj Pandya
121W–62L career
2%98%0%
3.21
3
Mihee Park
147W–89L career
0%23%77%
3.20
3
Mihye Ko
98W–51L career
0%49%51%
3.11
3
Misug Kim
61W–31L career
0%91%9%
2.94
3
Dawan Pandya
58W–26L career
0%96%4%
2.90
3
Jinmi Kemple
75W–78L career
0%96%4%
2.90

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.