Teams

Tang 8W24

2024 Mixed 18 & Over Winter · 8.0 MX (SUN)

12 players · average NTRP 4.00 / NORTHERN

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Schedule4 played
2024-03-10vs Rudser/Yee Winter-18Lost 01
L#2 DoublesJin Chang / Katherine Arneson vs John Genz / Sara DeSanto1-6, 2-6
2024-03-03vs Tretsven/Cammack Winter 2024Lost 01
L#1 DoublesJin Chang / Anna Nguyen vs Tom Hipkins / Carol Wahlstrand2-6, 3-6
2024-02-04vs Fischels winter 24Lost 01
L#1 DoublesKatherine Arneson / Jin Chang vs Angela Fischels / Jon Swanson3-6, 4-6
2024-01-07vs Jones/ShemyakinWon 10
W#2 DoublesKatherine Arneson / Jin Chang vs Jacqueline Bettenga / Byunggwon Jeon7-6, 4-6, 1-0
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 standings for 8.0 MX (SUN) have not been collected yet. Where we have them we show every team in the flight ranked, with this team highlighted. The crawler is still filling in older seasons and flights.

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 3.64 estimated across 11 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.

3.92
Katherine Arneson
published
3.89
Matthew Chu
published
3.88
Helena Chu
published
3.79
Ramon Villanueva
published
3.79
Alexander Tang
published 4
3.73
Zeny McCoy
published
3.62
Carrie Chang
published 4
3.55
Angel Nasrabadi
published 4
3.36
Podaly Jay
published
3.29
Jin Chang
usually #1 Doubles 71%, also #2 Doubles 29% · published
3.24
Jov Tuplano
published
Lauren Smith-Kiewel
published
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.

Matthew Chu + Helena Chu13854% games−3.4% vs expected
Alexander Tang + Angel Nasrabadi314 matchesnot enough data
Podaly Jay + Alexander Tang213 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.

Katherine Arneson
10W–12L career · no lines in 2024
<1%72%28%
3.92
Matthew Chu
38W–31L career · no lines in 2024
<1%79%21%
3.89
Helena Chu
29W–11L career · no lines in 2024
<1%80%19%
3.88
Ramon Villanueva
38W–26L career · no lines in 2024
2%91%7%
3.79
4
Alexander Tang
51W–23L career · no lines in 2024
2%91%7%
3.79
Zeny McCoy
40W–46L career · no lines in 2024
5%92%3%
3.73
4
Carrie Chang
14W–15L career · no lines in 2024
19%81%<1%
3.62
4
Angel Nasrabadi
37W–28L career · no lines in 2024
35%65%<1%
3.55
Podaly Jay
29W–42L career · no lines in 2024
<1%83%17%
3.36
Jin Chang
134W–139L career · 7 lines in 2024
2%92%6%
3.29
Jov Tuplano
24W–22L career · no lines in 2024
4%93%3%
3.24
Lauren Smith-Kiewel
2W–7L career · no lines in 2024
not enough data

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.