Teams

SGV Wild Cards 2-Collier-Arroyo High /SU

2026 Mixed Doubles - 40 & Over San Gabriel Valley · SGV - 9.0 Mixed Division

17 players · average NTRP 4.36 / 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 →
Schedule7 played
L#1 DoublesBrian Chen / Christine Chen vs Edgar Bove / Madeline Chang3-6, 0-6
L#2 DoublesThomas Hoeg-Jensen / Mandi Collier vs Amanda Parson Siegel / Bill Oakley3-6, 7-5, 0-1
L#2 DoublesMatt Jester / Cynthia Garcia vs Heidi Schuler / James Mason1-6, 2-6
L#2 DoublesMandi Collier / Thomas Hoeg-Jensen vs Erica Smalley / Alexander Kantarelis2-6, 6-7
L#1 DoublesKristina Chen / Matt Jester vs Amanda Parson Siegel / Bill Oakley0-6, 6-1, 1-0
L#2 DoublesKit Church / VICKY TRINH vs Matt Hansen / Ghia Godfree6-7, 0-6
L#1 DoublesKit Church / Hairong Cusack vs Anja Clarke / Daniel Kanemoto2-6, 1-6
L#2 DoublesCynthia Garcia / Thomas Hoeg-Jensen vs Andrew Clayton / Madeline Chang1-6, 1-6
L#3 DoublesDave Kang / Jinna Johnson vs Andrea Kretzmann / Alan Siu5-7, 1-6
L#2 DoublesJay Ho / Hairong Cusack vs Yuri Nichelson / Alan Siu2-6, 4-6
L#3 DoublesMandi Collier / Thomas Hoeg-Jensen vs Ghia Godfree / Matt Hansen1-6, 2-6
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 standings1 teams · SGV - 9.0 Mixed Division
TeamWLInd. WInd. LSets lostGames lost
1SGV Wild Cards 2-Collier-Arroyo High /SU0822245275

Ordered by team wins, then losses, then sets lost — the order USTA uses to seed a flight. Individual wins are lines, not ties.

See the full flight, with every team’s record

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 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.

4.70
Mandi Collier
usually #2 Doubles 43%, also #3 Doubles 29% · published 5
4.46
Jinna Johnson
usually #3 Doubles 100% · published
4.45
Michele Mouttapa
usually #1 Doubles 100% · published 4.5
4.35
Kristina Chen
usually #1 Doubles 75%, also #2 Doubles 25% · published 4.5
4.27
Colin Tang
published 4
4.23
Christine Chen
usually #1 Doubles 100% · published 4.5
4.20
Michael Marley
published
4.17
Gloria Geller
usually #2 Doubles 100% · published 4.5
4.13
Kevin Thoeng
usually #1 Doubles 100% · published 4.5
3.95
Ami Belcher
published 4.5
3.81
VICKY TRINH
usually #2 Doubles 100% · published 4
3.79
Thomas Hoeg-Jensen
usually #2 Doubles 75%, also #3 Doubles 25% · published
3.77
Dave Kang
usually #3 Doubles 40%, also #1 Doubles 40% · published 4
3.58
Hairong Cusack
usually #3 Doubles 46%, also #1 Doubles 31% · published 4
Jay Ho
usually #2 Doubles 100% · published
Kit Church
usually #2 Doubles 50%, also #1 Doubles 50% · published
Matt Jester
usually #1 Doubles 50%, also #2 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.

Thomas Hoeg-Jensen + Mandi Collier0636% gamesnot enough data
Matt Jester + Kristina Chen044 matchesnot enough data
Dave Kang + Mandi Collier224 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
Mandi Collier
188W–89L career · 7 lines in 2026
6%93%1%
4.70
Jinna Johnson
0W–6L career · 1 line in 2026
61%39%<1%
4.46
4.5
Michele Mouttapa
125W–80L career · 1 line in 2026
<1%66%34%
4.45
4.5
Kristina Chen
152W–92L career · 4 lines in 2026
<1%87%12%
4.35
4
Colin Tang
17W–2L career · no lines in 2026
<1%2%98%
4.27
4.5
Christine Chen
12W–12L career · 1 line in 2026
4%94%2%
4.23
Michael Marley
11W–12L career · no lines in 2026
6%93%1%
4.20
4.5
Gloria Geller
139W–102L career · 1 line in 2026
10%89%<1%
4.17
4.5
Kevin Thoeng
116W–39L career · 2 lines in 2026
16%84%<1%
4.13
4.5
Ami Belcher
60W–89L career · no lines in 2026
66%34%<1%
3.95
4
VICKY TRINH
163W–101L career · 1 line in 2026
1%92%7%
3.81
Thomas Hoeg-Jensen
8W–9L career · 4 lines in 2026
1%94%5%
3.79
4
Dave Kang
138W–129L career · 5 lines in 2026
2%94%4%
3.77
4
Hairong Cusack
17W–11L career · 13 lines in 2026
27%73%<1%
3.58
Jay Ho
5W–4L career · 1 line in 2026
not enough data
Kit Church
0W–2L career · 2 lines in 2026
not enough data
Matt Jester
0W–5L career · 2 lines in 2026
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.