Teams

AYTC-Stranger Strings-Kim

2023 Coed 18-39 · 3.0 Coed

7 players · average NTRP 3.21 / NORTHWEST WASHINGTON

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Schedule8 played
2023-03-18vs AYTC-The Lobsters-KimSplit 22
W#1 Female SinglesTiffany Chau vs Alice Chang6-2
W#1 Male DoublesBill Thiel / Justin Fu vs John Tully / Edward Almonte6-2
L#1 Male SinglesJustin Fu vs John Tully4-6
L#2 Mixed DoublesIrving Zhang / Youngji Kim vs Noelle Ericson / John Tully5-6
2023-03-03vs AYTC-Aces Akimbo-PuriWon 31
L#1 Female DoublesYoungji Kim / Florence Kim vs Amy Chang / Elizabeth Willett2-6
W#1 Female SinglesTiffany Chau vs Emily Stephenson6-5
W#1 Male DoublesJustin Fu / Joel Nethery vs Amrit Puri / Colton Stapper6-2
W#1 Male SinglesIrving Zhang vs Charlie Blondino Jr6-5
2023-02-24vs RTC-Lord of the Strings-AzizLost 13
L#1 Female DoublesTiffany Chau / Florence Kim vs Kelsey Duncombe-Smith / Emily Murphy3-6
W#1 Female SinglesYoungji Kim vs Emily Murphy6-3
L#1 Male DoublesIrving Zhang / Joel Nethery vs Harben Mahil / Fernando Martinez4-6
L#1 Male SinglesBill Thiel vs Harben Mahil5-6
2023-02-18vs ETC-Juanita Bay Ballers-JansmaWon 32
W#1 Female DoublesYoungji Kim / Tiffany Chau vs Adrianna Silva / Alix Jansma6-5
L#1 Female SinglesTiffany Chau vs Adrianna Silva5-6
W#1 Male DoublesJustin Fu / Joel Nethery vs Michael Gostintsev / Nick Richmond6-3
L#1 Male SinglesJoel Nethery vs Nick Richmond2-6
W#1 Mixed DoublesYoungji Kim / Irving Zhang vs Michael Gostintsev / Alix Jansma6-3
2023-02-05vs RTC-Lord of the Strings-AzizSplit 22
W#1 Female DoublesYoungji Kim / Florence Kim vs Courtney Levitsky / Emily Murphy6-4
L#1 Male DoublesIrving Zhang / Justin Fu vs Harben Mahil / Fernando Martinez4-6
W#1 Male SinglesJustin Fu vs Harben Mahil6-5
L#1 Mixed DoublesFlorence Kim / Bill Thiel vs Courtney Levitsky / Fernando Martinez3-6
2023-02-04vs AYTC-Aces Akimbo-PuriWon 31
L#1 Female DoublesFlorence Kim / Aurea Li vs Megan Codd / Elizabeth Willett5-6
W#1 Female SinglesYoungji Kim vs Emily Stephenson6-5
W#1 Male DoublesIrving Zhang / Joel Nethery vs Lucas Lindberg / Colton Stapper6-1
W#1 Male SinglesIrving Zhang vs Amrit Puri6-2
2023-01-13vs AYTC-SpelmanWon 30
W#1 Female DoublesAurea Li / Tiffany Chau vs Yulin Liu / Arin Nakahara6-3
W#1 Male DoublesJustin Fu / Bill Thiel vs Alex Spelman / Peter Novotney6-1
W#1 Male SinglesIrving Zhang vs Connor Smith6-0
2023-01-07vs AYTC-SpelmanWon 31
W#1 Female DoublesYoungji Kim / Florence Kim vs Kelly Broad / Tessa Leachman6-0
W#1 Female SinglesFlorence Kim vs Riannon Walls6-2
W#1 Male DoublesBill Thiel / Justin Fu vs Diego Mendivil Pindter / Chenyan Xiong6-5
L#1 Male SinglesJoel Nethery vs Chenyan Xiong0-6
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 standings6 teams · 3.0 Coed
TeamWLInd. WInd. LSets lostGames lost
1RTC-Lord of the Strings-Aziz084088139
2AYTC-The Lobsters-Kim08272121197
3AYTC-Stranger Strings-Kim08262222200
4ETC-Juanita Bay Ballers-Jansma08202828210
5AYTC-Aces Akimbo-Puri08183030232
6AYTC-Spelman08123636245

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 3.06 estimated across 7 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.

3.34
Irving Zhang
usually #1 Male Singles 43%, also #1 Male Doubles 29% · published 3.5
3.33
Bill Thiel
usually #1 Male Doubles 60%, also #1 Mixed Doubles 20% · published 3.5
3.11
Youngji Kim
usually #1 Female Doubles 57%, also #1 Female Singles 29% · published 3.5
2.97
Justin Fu
usually #1 Male Doubles 67%, also #1 Male Singles 33% · published 3
2.96
Joel Nethery
usually #1 Male Doubles 60%, also #1 Male Singles 40% · published 3
2.87
Florence Kim
usually #1 Female Doubles 80%, also #1 Female Singles 20% · published 3
2.82
Tiffany Chau
usually #1 Female Singles 60%, also #1 Female Doubles 40% · published 3
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.

Florence Kim + Tiffany Chau5359% games+5.4% vs expected
Justin Fu + Bill Thiel7075% gamesnot enough data
Youngji Kim + Irving Zhang4167% gamesnot enough data
Youngji Kim + Bill Thiel2352% gamesnot enough data
Justin Fu + Joel Nethery4164% gamesnot enough data
Florence Kim + Youngji Kim314 matchesnot enough data
Florence Kim + Justin Fu404 matchesnot enough data
Youngji Kim + Justin Fu314 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.

3.5
Irving Zhang
99W–51L career · 7 lines in 2023
1%86%13%
3.34
3.5
Bill Thiel
65W–44L career · 5 lines in 2023
1%87%12%
3.33
3.5
Youngji Kim
74W–54L career · 7 lines in 2023
22%78%<1%
3.11
3
Justin Fu
63W–28L career · 6 lines in 2023
<1%58%42%
2.97
3
Joel Nethery
70W–57L career · 5 lines in 2023
<1%60%40%
2.96
3
Florence Kim
74W–64L career · 5 lines in 2023
<1%82%18%
2.87
3
Tiffany Chau
67W–64L career · 5 lines in 2023
1%89%10%
2.82

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.