Teams

Maybach

2023 Montgomery Combo Mixed Fall · Montgomery Combo Mixed 8.5

12 players · average NTRP 4.50 / MARYLAND

View scouting list →
Schedule7 played
2023-12-09vs Game ChangersWon 20
W#1 DoublesYiran Liu / Dian Zhang vs Kristina Leary / Lukas Sanidas7-5, 6-1
W#3 DoublesChangfu Xiao / Shan Wang vs Kaitlyn Heo / Ji Cha6-4, 6-2
2023-12-02vs Sets AppealWon 10
W#1 DoublesChangfu Xiao / Joy Wu vs Thomas Leuba / Kay Bransford6-2, 6-2
2023-11-15vs MillerWon 20
W#1 DoublesIrene Chen / Changfu Xiao vs Chris Ford / Wendy Guo6-2, 6-0
W#2 DoublesYiran Liu / Dian Zhang vs Bengt Liljas / Lora Bacanskas6-4, 6-1
2023-11-10Won 10
W#1 DoublesChangfu Xiao / Dian Zhang vs Hung Nguyen / Deborah Landau6-2, 6-4
2023-10-30vs Your Pace or MineWon 10
W#3 DoublesChangfu Xiao / Shan Wang vs Evelyn Chan / Arash Hanif6-2, 6-0
2023-10-11vs MoCady 8.5 Mixed ComboLost 01
L#2 DoublesHong Hu / Dian Zhang vs Sean Der / Eve Helmer1-6, 2-6
2023-10-03vs Your Pace or MineWon 10
W#1 DoublesDian Zhang / Jonathan Lee vs Duane Wright / Jina Lin6-1, 6-2
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 Montgomery Combo Mixed 8.5 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 4.13 estimated across 8 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.

Ashley Xie
published 5
4.44
Changfu Xiao
usually #1 Doubles 60%, also #3 Doubles 40% · published 4.5
4.30
Irene Chen
published 4.5
4.30
Hong Hu
published 4.5
4.27
Ye Hu
published
4.25
Phat Bui
published
3.93
Dian Zhang
usually #1 Doubles 60%, also #2 Doubles 40% · published 4
3.79
Warren Chen
published
3.78
Shan Wang
published
Joy Wu
published
Richard Wang
published
Yiran Liu
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.

Changfu Xiao + Dian Zhang6156% gamesnot enough data
Ye Hu + Phat Bui033 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
Ashley Xie
10W–2L career · no lines in 2023
not enough data
4.5
Changfu Xiao
109W–42L career · 5 lines in 2023
<1%68%32%
4.44
4.5
Irene Chen
3W–0L career · no lines in 2023
1%92%7%
4.30
4.5
Hong Hu
10W–13L career · no lines in 2023
1%93%6%
4.30
Ye Hu
31W–23L career · no lines in 2023
2%94%4%
4.27
Phat Bui
13W–11L career · no lines in 2023
3%95%3%
4.25
4
Dian Zhang
229W–109L career · 5 lines in 2023
<1%71%29%
3.93
Warren Chen
41W–33L career · no lines in 2023
1%93%5%
3.79
Shan Wang
31W–14L career · no lines in 2023
2%94%4%
3.78
Joy Wu
5W–0L career · no lines in 2023
not enough data
Richard Wang
3W–3L career · no lines in 2023
not enough data
Yiran Liu
3W–1L career · no lines in 2023
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.