Teams

Dropshot

2022 One Doubles · 3.5 Men

6 players · average NTRP 3.80 / NORTHWEST WASHINGTON

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Schedule7 played
2022-08-10vs Malone/KorugaWon 10
W#1 DoublesNicholas Allen / Adam Zhu vs Huy Ngo / Jay Wellan6-4, 6-1
2022-08-08vs The B TeamWon 10
W#1 DoublesTatsuya Fujinami / Tony Liao vs Yishen Li / Nohl Speck6-3, 6-1
2022-08-06vs BADDSGWon 10
W#1 DoublesAdam Zhu / Tomas San Miguel vs Dave Evans / Badrinath Vengalathur6-0, 3-6, 1-0
2022-08-05vs Dim MakLost 01
L#1 DoublesAdam Zhu / Tatsuya Fujinami vs Michael Kwong / Edward Xin3-6, 2-6
2022-08-03vs AzizWon 10
W#1 DoublesTatsuya Fujinami / Tomas San Miguel vs Tipu Qureshi / Zain Aziz7-5, 6-3
2022-07-21vs MICC-Hounsell/ThomasLost 01
L#1 DoublesEric Go / Adam Zhu vs Aaron Thomas / E Lloyd Hounsell5-7, 4-6
2022-07-18vs AcesWon 10
W#1 DoublesTomas San Miguel / Adam Zhu vs Mike Bursiek / Scott Lennard6-3, 6-0
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.
Flight standings21 teams · 3.5 Men
TeamWLInd. WInd. LSets lostGames lost
1Dim Mak7070043
2Baby Blues6060343
3Double Fun5151230
4Double J-Bird/Peterson5151249
5Ortiz5151339
6Dropshot5252551
7MICC-Hounsell/Thomas5252554
8BADDSG5252557
9Wanat/Peck4242438
10Blade4242654
11Tucker2424854
12The Outdoorsmen24241066
13The B Team25251170
14North Creekers15151055
15Hi-Ray15151063
16Aces16161279
17TBD06061271
18Raghavan06061272
19Sien06061272
20Aziz07071485
21Malone/Koruga07071485

Ordered by team wins, then losses, then sets lost — the order USTA uses to seed a flight. Individual wins are lines, not ties.

See the full flight, with every team’s record

ScoutingWhere each opponent usually plays

Signed-in extra: whether this captain plays strict strength order or mixes it up, from every doubles line they have put out. Create a free account to see it.

Roster averages 3.51 estimated across 3 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.

3.80
Tomas San Miguel
usually #1 Doubles 100% · published 4
3.76
Tony Liao
usually #1 Doubles 100% · published
Adam Zhu
usually #1 Doubles 100% · published 4
Eric Go
usually #1 Doubles 100% · published 4
Tatsuya Fujinami
usually #1 Doubles 100% · published 4
2.98
Nicholas Allen
usually #1 Doubles 100% · published 3
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. Lines played in this team’s season are shown beside each name.

4
Tomas San Miguel
104W–23L career · 3 lines in 2022
1%93%6%
3.80
Tony Liao
32W–17L career · 1 line in 2022
2%94%3%
3.76
4
Adam Zhu
46W–24L career · 5 lines in 2022
not enough data
4
Eric Go
41W–22L career · 1 line in 2022
not enough data
4
Tatsuya Fujinami
35W–18L career · 3 lines in 2022
not enough data
3
Nicholas Allen
50W–32L career · 1 line in 2022
<1%58%42%
2.98

Three percentages are where each player stands right now: the chance they are below their band, inside it, or above it, on the way they are playing this season. The number on the right is our estimated dynamic rating, which USTA never publishes. This is today rather than a forecast of December, because a forecast has to assume future matches and cannot know whether someone will even be offered them. 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.

Not affiliated with or endorsed by the USTA. Ratings labelled as published are USTA year-end figures; anything we describe as an estimate is ours, not USTA’s. Match data is from USTA TennisLink.