Teams

Chu Tang Clan - Su24

2024 MIXED 18 & OVER SUMMER · 8.0 MX (SUN)

17 players · average NTRP 3.93 / NORTHERN

No matches recorded for this roster in this league — it may be a placeholder registration, or the season may not have started.

View scouting list →
Schedule3 played
W#2 DoublesEmma Wu / Jin Chang vs Lori Henrich / Kaushik Joshi6-2, 7-6
2024-06-02vs Fischels 8.0 mixed summerWon 10
W#3 DoublesAnna Nguyen / Jin Chang vs Dawn Reidinger / Brian Reidinger6-2, 7-5
2024-05-05vs Toleu: Racqueteers 8.0Lost 01
L#3 DoublesEmma Wu / Jin Chang vs Michelle Finley / T.J. Majdecki2-6, 6-4, 0-1
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 3.73 estimated across 15 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.

4.45
Emma Wu
published 4.5
4.12
Lea Blackwell Favor
published
4.00
Elizabeth Kruse
published 4
3.98
Helena Chu
published 4
3.89
Matthew Chu
published
3.88
Jonathan Luk
published
3.80
Ramon Villanueva
published
3.79
Alexander Tang
published 4
3.74
Zeny McCoy
published
3.56
Angel Nasrabadi
published 4
3.39
Derek Fermstad
published 3.5
3.38
Podaly Jay
published
3.36
Alex Gustafson
published 3.5
3.29
Jin Chang
usually #3 Doubles 33%, also #2 Doubles 33% · published
3.27
Jov Tuplano
published
Lauren Smith-Kiewel
published
Mit Chareundy
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.

Elizabeth Kruse + Alex Gustafson8063% games+18.9% vs expected
Matthew Chu + Helena Chu13854% games−3.6% vs expected
Jov Tuplano + Emma Wu1540% gamesnot enough data
Alexander Tang + Angel Nasrabadi314 matchesnot enough data
Podaly Jay + Alexander Tang213 matchesnot enough data
Alexander Tang + Emma Wu303 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.

4.5
Emma Wu
31W–25L career · no lines in 2024
<1%66%34%
4.45
Lea Blackwell Favor
46W–38L career · no lines in 2024
18%82%<1%
4.12
4
Elizabeth Kruse
16W–3L career · no lines in 2024
<1%51%49%
4.00
4
Helena Chu
29W–11L career · no lines in 2024
<1%55%44%
3.98
Matthew Chu
38W–31L career · no lines in 2024
<1%79%21%
3.89
Jonathan Luk
3W–5L career · no lines in 2024
82%18%<1%
3.88
Ramon Villanueva
38W–26L career · no lines in 2024
1%93%6%
3.80
4
Alexander Tang
51W–24L career · no lines in 2024
1%94%5%
3.79
Zeny McCoy
40W–46L career · no lines in 2024
3%94%2%
3.74
4
Angel Nasrabadi
37W–28L career · no lines in 2024
31%69%<1%
3.56
3.5
Derek Fermstad
37W–32L career · no lines in 2024
<1%79%21%
3.39
Podaly Jay
29W–42L career · no lines in 2024
<1%82%17%
3.38
3.5
Alex Gustafson
20W–12L career · no lines in 2024
<1%85%15%
3.36
Jin Chang
134W–139L career · 6 lines in 2024
1%93%6%
3.29
Jov Tuplano
24W–22L career · no lines in 2024
2%94%4%
3.27
Lauren Smith-Kiewel
2W–7L career · no lines in 2024
not enough data
Mit Chareundy
1W–2L 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.