Teams

LOTC-Oken/Hong

2025 Coed 18-39 · 8.0 Coed Combo

9 players · average NTRP 4.12 · USTA/PACIFIC NW / NORTHERN OREGON

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Scouting

Roster averages 3.85 estimated across 8 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.

4.33
Paige Polizois
usually #1 Female Singles 100% · published 4.5
Jacob Velasco
usually #1 Male Singles 70%, also #2 Mixed Doubles 20% · published 4.5
4.24
Michael Furuya
usually #1 Male Singles 86%, also #1 Male Doubles 14% · published 4.5
4.09
Rebecca Yu
usually #1 Female Singles 83%, also #1 Female Doubles 17% · published 4.5
3.97
Mitchell Earle
usually #1 Male Singles 80%, also #1 Male Doubles 20% · published 0
3.90
Saurabh Chauhan
usually #1 Male Doubles 50%, also #1 Male Singles 50% · published 4.5
3.52
Roksolana Shyyka
usually #1 Female Singles 100% · published 3.5
3.46
Jonathan Hong
usually #1 Male Doubles 100% · published 3.5
3.27
Celene Robert
usually #1 Female Doubles 100% · published 3.5
Results8 ties
2025-03-09Won 21
L#1 Female DoublesCelene Robert / Morganne Hatfield vs Stephanie Haas / Samantha Williams6-2
W#1 Male DoublesJonathan Hong / Michael Furuya vs Matthew Nguyen / Minh Nguyen6-5
W#1 Male SinglesMichael Furuya vs Shaun Wilson6-2
2025-03-07Won 21
L#1 Female DoublesRebecca Yu / Celene Robert vs Anna Reutin / Jennifer Witty6-2
W#1 Female SinglesRebecca Yu vs Hannah Plank6-5
W#1 Male SinglesJacob Velasco vs Mark Chen6-1
2025-02-16Won 21
L#1 Female SinglesRoksolana Shyyka vs Tarynn Berkman6-4
W#1 Male DoublesSaurabh Chauhan / Mitchell Earle vs Alex Rand / Pattarapong Limthianlee6-5
W#1 Male SinglesSaurabh Chauhan vs Eric Lee6-4
2025-02-09Won 31
W#1 Female DoublesCelene Robert / Roksolana Shyyka vs Stephanie Haas / Amanda Wagner6-5
W#1 Female SinglesRoksolana Shyyka vs Amanda Wagner6-5
W#1 Male DoublesSaurabh Chauhan / Mitchell Earle vs Minh Nguyen / Johnny Ung6-3
L#1 Male SinglesMitchell Earle vs Shaun Wilson6-0
2025-02-02Won 21
L#1 Female DoublesRebecca Yu / Celene Robert vs Ellen Mader / Jamie Slonaker6-1
W#1 Female SinglesRebecca Yu vs Yvonne Qiu6-2
W#1 Male SinglesMichael Furuya vs Roshen Warrier6-0
2025-01-18Won 21
W#1 Female SinglesPaige Polizois vs Anna Reutin6-2
W#1 Male DoublesJonathan Hong / Jacob Velasco vs Son Huynh / Tommy Trakoolthai6-4
L#1 Male SinglesJacob Velasco vs Mark Chen6-4
2025-01-12Won 21
L#1 Female SinglesPaige Polizois vs Inna Vlad6-3
W#1 Male DoublesJonathan Hong / Michael Furuya vs Samuel Crawford / Antony Kamenny6-4
W#1 Male SinglesMichael Furuya vs Bradley Martin6-1
2025-01-11Lost 12
L#1 Female DoublesCelene Robert / Rebecca Yu vs Sarah Kochis / Kaytlynn Kolb6-2
L#1 Female SinglesRebecca Yu vs Kaytlynn Kolb6-4
W#1 Male SinglesJacob Velasco vs Keith Anderson6-2
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
Paige Polizois
61W–38L career
0%95%5%
4.33
4.5
Jacob Velasco
62W–14L career
not enough data
4.5
Michael Furuya
26W–26L career
0%98%2%
4.24
4.5
Rebecca Yu
64W–49L career
4%96%0%
4.09
0
Mitchell Earle
15W–14L career
23%77%0%
3.97
4.5
Saurabh Chauhan
55W–32L career
40%60%0%
3.90
3.5
Roksolana Shyyka
34W–21L career
0%75%25%
3.52
3.5
Jonathan Hong
92W–73L career
0%80%20%
3.46
3.5
Celene Robert
26W–55L career
1%99%0%
3.27

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.