Teams

OC LPC - Debra - Sun1

2024 Orange County Holiday Mixed Doubles · OC Holiday MXD 7.5

14 players · average NTRP 3.50 / SO.CALIFORNIA

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Schedule5 played
L#2 Mixed DoublesDeping Liu / Agee Barooni vs Cindy Tang / Dave Nguyen1-6, 5-7
2024-12-29vs OC MVTC - McBride/Gee Sun1030Won 10
W#2 Mixed DoublesDeping Liu / Agee Barooni vs Ellen Aistars / Robert Merto7-6, 6-3
2024-12-01vs OC Yorba Linda CC - Shang -Sat1Lost 01
L#3 Mixed DoublesWenyi Jiang / Isabelle Krenz vs Christy Harmon / Joseph Harmon1-6, 6-3, 0-1
2024-10-27vs OC LaHabra - JJL - Sat12Won 10
W#2 Mixed DoublesAgee Barooni / Isabelle Krenz vs Sergio Davila / Monique Fitch4-6, 6-0, 1-0
L#2 Mixed DoublesIsabelle Krenz / Jie Cheng vs Irene Fehr / Forrest Morrow5-7, 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 OC Holiday MXD 7.5 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 3.38 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.

3.84
Michelle Sinclair
published
3.63
Troy Yunfeng Li
published
3.50
Hong Ye
published 3.5
3.30
Christine Ly
published 3.5
3.26
Agee Barooni
published 3.5
3.24
Isabelle Krenz
usually #2 Mixed Doubles 67%, also #3 Mixed Doubles 33% · published 3.5
3.19
Huanan Sun
published 3.5
3.08
Deping Liu
usually #1 Mixed Doubles 50%, also #2 Mixed Doubles 50% · published 3.5
Jie Cheng
published
Viola Xiao
published
Wenyi Jiang
published
Xi Xu
published
Yuka Nabangxang
published
Zunliang Zhao
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.

Huanan Sun + Troy Yunfeng Li224 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.

Michelle Sinclair
13W–14L career · no lines in 2024
<1%88%11%
3.84
Troy Yunfeng Li
29W–20L career · no lines in 2024
15%84%<1%
3.63
3.5
Hong Ye
19W–9L career · no lines in 2024
<1%52%48%
3.50
3.5
Christine Ly
18W–13L career · no lines in 2024
1%93%6%
3.30
3.5
Agee Barooni
4W–4L career · type A · no lines in 2024
2%94%3%
3.26
3.5
Isabelle Krenz
43W–70L career · 3 lines in 2024
3%94%2%
3.24
3.5
Huanan Sun
16W–10L career · no lines in 2024
7%92%1%
3.19
3.5
Deping Liu
86W–111L career · 4 lines in 2024
28%72%<1%
3.08
Jie Cheng
2W–2L career · no lines in 2024
not enough data
Viola Xiao
2W–8L career · no lines in 2024
not enough data
Wenyi Jiang
2W–3L career · no lines in 2024
not enough data
Xi Xu
7W–3L career · no lines in 2024
not enough data
Yuka Nabangxang
4W–2L career · no lines in 2024
not enough data
Zunliang Zhao
1W–1L 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.