Teams

Chu Tang Clan ES 2025

2025 MIXED 18 & OVER EARLY START · 8.0 MX (FRI)

16 players · average NTRP 3.75 / 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 →
Schedule7 played
2024-12-20vs Bartz Mix It Up 8.0 ES2025Won 30
W#1 DoublesHelena Chu / Matthew Chu vs Alesia Pehl / Kyle Syverson6-1, 6-2
W#2 DoublesZeny McCoy / MARK ROEMER vs Kelly Keegan / RJ Johnson7-6, 6-1
W#3 DoublesLea Blackwell Favor / Derek Fermstad vs Lauren Bralski / Anil Kumar Kanathur6-2, 6-4
2024-12-13vs Rudser/YeeES2025Won 21
W#1 DoublesHelena Chu / Matthew Chu vs Sara DeSanto / Kris Smitobol5-7, 6-4, 1-0
W#2 DoublesEmma Wu / Derek Fermstad vs Julie Bowles / John Genz7-5, 4-6, 1-0
L#3 DoublesAngel Nasrabadi / MARK ROEMER vs Megan Murray-Bennett / KJ Lynch4-6, 2-6
2024-12-06vs Toleu: Racqueteers 8.0Split 11
W#1 DoublesEmma Wu / Alexander Tang vs Gretchen Seifert / Shravan Pargal6-4, 6-3
L#2 DoublesLauren Smith-Kiewel / Adam Boyle vs Pamela van Ert / Mark van Ert1-6, 3-6
2024-11-15vs Strawhecker/Edmund ESLost 12
L#1 DoublesAnna Nguyen / Alexander Tang vs Addie Ormsbee / Ramji Kamakoti3-6, 6-4, 1-0
W#2 DoublesZeny McCoy / Ramon Villanueva vs Kelli Johnson / Jakob Strawhecker6-2, 4-6, 1-0
L#3 DoublesPodaly Jay / Adam Boyle vs Shannon Schroeder / Wesley Oliver3-6, 4-6
2024-11-08vs Ewen 2025Lost 01
L#1 DoublesLea Blackwell Favor / Jin Chang vs Briana Hartmann / Tyler Johnson2-6, 2-6
2024-10-25vs Bartz Mix It Up 8.0 ES2025Won 10
W#3 DoublesLea Blackwell Favor / Jin Chang vs Rick Jerz / Elizabeth Vanheest6-3, 6-4
2024-10-11vs Toleu: Racqueteers 8.0Won 20
W#1 DoublesElizabeth Kruse / Alex Gustafson vs Karla Toleu / Mark Gness6-3, 6-7, 1-0
W#2 DoublesHelena Chu / Matthew Chu vs Michelle Finley / T.J. Majdecki6-3, 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 standings for 8.0 MX (FRI) 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 3.70 estimated across 14 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.

4.35
Emma Wu
usually #1 Doubles 50%, also #3 Doubles 25% · published
4.13
Lea Blackwell Favor
usually #3 Doubles 100% · published
4.04
Elizabeth Kruse
usually #1 Doubles 100% · published
3.89
Matthew Chu
usually #1 Doubles 67%, also #2 Doubles 33% · published
3.88
Helena Chu
usually #1 Doubles 67%, also #2 Doubles 33% · published
3.79
Ramon Villanueva
usually #2 Doubles 100% · published
3.79
Alexander Tang
usually #1 Doubles 100% · published 4
3.73
Zeny McCoy
usually #2 Doubles 100% · published
3.55
Angel Nasrabadi
usually #3 Doubles 100% · published 4
3.39
Derek Fermstad
usually #3 Doubles 50%, also #2 Doubles 50% · published 3.5
3.36
Podaly Jay
usually #3 Doubles 100% · published
3.36
Alex Gustafson
usually #1 Doubles 100% · published 3.5
3.29
Jin Chang
usually #3 Doubles 60%, also #1 Doubles 40% · published
3.24
Jov Tuplano
usually #3 Doubles 50%, also #2 Doubles 50% · published
Lauren Smith-Kiewel
usually #2 Doubles 100% · published
MARK ROEMER
usually #2 Doubles 50%, also #3 Doubles 50% · 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+17.6% vs expected
Matthew Chu + Helena Chu13854% games−3.4% 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.

Emma Wu
33W–25L career · 4 lines in 2025
1%86%14%
4.35
Lea Blackwell Favor
46W–38L career · 1 line in 2025
18%81%<1%
4.13
Elizabeth Kruse
16W–3L career · 1 line in 2025
<1%40%60%
4.04
Matthew Chu
38W–31L career · 3 lines in 2025
<1%79%21%
3.89
Helena Chu
29W–11L career · 3 lines in 2025
<1%80%19%
3.88
Ramon Villanueva
38W–26L career · 1 line in 2025
2%91%7%
3.79
4
Alexander Tang
51W–23L career · 5 lines in 2025
2%91%7%
3.79
Zeny McCoy
40W–46L career · 2 lines in 2025
5%92%3%
3.73
4
Angel Nasrabadi
37W–28L career · 1 line in 2025
35%65%<1%
3.55
3.5
Derek Fermstad
37W–32L career · 2 lines in 2025
<1%78%22%
3.39
Podaly Jay
29W–42L career · 1 line in 2025
<1%83%17%
3.36
3.5
Alex Gustafson
20W–12L career · 1 line in 2025
1%84%16%
3.36
Jin Chang
134W–139L career · 5 lines in 2025
2%92%6%
3.29
Jov Tuplano
24W–22L career · 2 lines in 2025
4%93%3%
3.24
Lauren Smith-Kiewel
2W–7L career · 1 line in 2025
not enough data
MARK ROEMER
3W–1L career · 2 lines in 2025
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.