Teams

Storm Chasers

2024 One Doubles · 3.5 Men

2 players · average NTRP 3.5 · USTA/PACIFIC NW / NORTHERN OREGON

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Scouting

Roster averages 3.35 estimated across 1 rated player. 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.

3.35
Mikhail Gongadze
usually #1 Doubles 100% · published 3.5
Chase Doudican
usually #1 Doubles 100% · published 3.5
Results7 ties
2024-08-11Won 10
W#1 DoublesMikhail Gongadze / Douglas Hill vs Alexander Papadopoulos / Daniel White6-3, 5-7, 1-0
2024-08-04Lost 01
L#1 DoublesChase Doudican / Mikhail Gongadze vs Peter Johnson / Huy Bui7-6, 7-6
2024-07-28Lost 01
L#1 DoublesChase Doudican / Mikhail Gongadze vs Greg Marx / Chris Simpson6-2, 1-6, 1-0
2024-07-27Lost 01
L#1 DoublesChase Doudican / Mikhail Gongadze vs Daniel Paul / Huy Pham6-1, 7-5
2024-07-25Lost 01
L#1 DoublesChase Doudican / Mikhail Gongadze vs Sean McKinnie / Matthew Weinstock6-1, 6-4
2024-07-11Lost 01
L#1 DoublesChase Doudican / Douglas Hill vs Brad Johnson / Ryan Owens6-6
2024-06-28Won 10
W#1 DoublesChase Doudican / Mikhail Gongadze vs Aaron Lewis / Sebastian Llados Vila6-4, 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.

3.5
Mikhail Gongadze
25W–25L career
0%97%3%
3.35
3.5
Chase Doudican
45W–28L 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.