Teams

OC Irvine Heritage Park - Troy - Sun1

2025 USTA Mixed Doubles 18 & Over - OC · OC - 6.0 WE - Weekend Mixed Doubles

11 players · average NTRP 2.90 / SO.CALIFORNIA

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 →
Schedule5 played
L#1 DoublesMark Peabody / Amethyst Lam vs Kelsey Ruegger / Andrew Allen2-6, 6-7
L#2 DoublesHairong Yuan / Troy Yunfeng Li vs Annie Huang / Jack Yen7-6, 3-6, 0-1
W#3 DoublesSherry Rui Xu / Neo Du vs Trang Phan / Joel Hadlich2-6, 6-1, 1-0
L#2 DoublesLi Xu / Junko Noguchi vs Emelie Nguyen / Jack Yen7-6, 2-6, 0-1
L#3 DoublesCharlie Zhou / Junko Noguchi vs Lewis Tsai / Sherrie Hadlich2-6, 1-6
L#2 DoublesJunko Noguchi / Neo Du vs Jack Yen / Annie Huang2-6, 6-7
W#3 DoublesNeo Du / Junko Noguchi vs Sherrie Hadlich / Lewis Tsai6-4, 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 OC - 6.0 WE - Weekend Mixed Doubles 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 3.03 estimated across 5 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.

3.63
Troy Yunfeng Li
usually #3 Doubles 75%, also #2 Doubles 25% · published
3.22
Sherry Rui Xu
usually #3 Doubles 100% · published
3.03
Junko Noguchi
usually #3 Doubles 40%, also #2 Doubles 40% · published 3
2.91
Amethyst Lam
usually #1 Doubles 100% · published 3
Charlie Zhou
published 3
2.38
Fangting Shi
published 3
Hairong Yuan
usually #2 Doubles 100% · published 2.5
Kevin Wong
published
Li Xu
usually #3 Doubles 67%, also #1 Doubles 33% · published
Mark Peabody
usually #1 Doubles 100% · published
Neo Du
usually #3 Doubles 100% · 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.

Troy Yunfeng Li + Sherry Rui Xu8458% games+4.3% vs expected
Amethyst Lam + Mark Peabody0641% gamesnot 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.

Troy Yunfeng Li
29W–20L career · 4 lines in 2025
15%84%<1%
3.63
Sherry Rui Xu
26W–9L career · 2 lines in 2025
5%94%1%
3.22
3
Junko Noguchi
72W–47L career · 5 lines in 2025
<1%40%60%
3.03
3
Amethyst Lam
5W–19L career · 1 line in 2025
<1%76%24%
2.91
3
Charlie Zhou
1W–7L career · no lines in 2025
not enough data
3
Fangting Shi
0W–7L career · no lines in 2025
82%18%<1%
2.38
2.5
Hairong Yuan
0W–1L career · type S · 1 line in 2025
not enough data
Kevin Wong
0W–2L career · no lines in 2025
not enough data
Li Xu
17W–16L career · 3 lines in 2025
not enough data
Mark Peabody
0W–7L career · 1 line in 2025
not enough data
Neo Du
3W–9L career · 1 line 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.