Teams

Line Ticklers

2022 One Doubles · 4.5 Men

5 players · average NTRP 4.70 / NORTHWEST WASHINGTON

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Schedule5 played
2022-07-31vs SainiWon 10
W#1 DoublesDaniel Armellino / Wataru Ueno vs Sai Akshay Loganda Khumaresh / Rizwanulla Mohammed7-6, 6-4
2022-07-19vs ParrishLost 01
L#1 DoublesMichael Cheong / Wataru Ueno vs Charles Thompson / Hiromichi Yamamoto7-5, 3-6, 0-1
2022-07-05vs AATXWon 10
W#1 DoublesDonny Baugh / Alexander Calpagiu vs Benjamin Liang / Nicholas Verghese6-1, 6-3
2022-07-04vs The Ball SlappersWon 10
W#1 DoublesDaniel Armellino / Alexander Calpagiu vs Aditya Iyer / Brandon Nakata6-1, 6-0
2022-06-29vs SuarezWon 10
W#1 DoublesDonny Baugh / Michael Cheong vs Mark Gustinis / Jim Vana6-1, 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.
Flight standings9 teams · 4.5 Men
TeamWLInd. WInd. LSets lostGames lost
1Line Ticklers4141231
2Han4141445
3Bowser's Fury4141448
4MICC Super Platters3232443
5Saini3232649
6AATX2323748
7ODonnell1414851
8Higashi1414957
9The Ball Slappers05051062

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 4.48 estimated across 4 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.

Donny Baugh
usually #1 Doubles 100% · published 5
4.72
Daniel Armellino
usually #1 Doubles 100% · published 5
4.44
Michael Cheong
usually #1 Doubles 100% · published 4.5
4.43
Alexander Calpagiu
usually #1 Doubles 100% · published 4.5
4.31
Wataru Ueno
usually #1 Doubles 100% · published 4.5
Established pairs

Doubles pairs from this roster with three or more matches together anywhere — ordered by performance against what the rating gap predicted, not by record.

Daniel Armellino + Alexander Calpagiu8653% games+5.9% vs expected
Daniel Armellino + Wataru Ueno3359% games+5.0% vs expected
Alexander Calpagiu + Donny Baugh5647% games+1.8% vs expected
Michael Cheong + Donny Baugh27261% games+1.5% vs expected
Daniel Armellino + Donny Baugh5554% games+0.3% vs expected
Alexander Calpagiu + Wataru Ueno4174% gamesnot enough data
Daniel Armellino + Michael Cheong213 matchesnot enough data
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.

5
Donny Baugh
83W–42L career · 2 lines in 2022
not enough data
5
Daniel Armellino
137W–89L career · 2 lines in 2022
4%94%2%
4.72
4.5
Michael Cheong
158W–67L career · 2 lines in 2022
<1%68%32%
4.44
4.5
Alexander Calpagiu
141W–100L career · 2 lines in 2022
<1%69%31%
4.43
4.5
Wataru Ueno
89W–51L career · 2 lines in 2022
1%92%7%
4.31

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.