Teams

SGV LLW Wild Cards-Tang-Arroyo High /SU10

2024 Mixed Tri Level - 18 & Over - San Gabriel Valley · SGV 3.5

20 players · average NTRP 4.38 / SO.CALIFORNIA

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Schedule3 played
2024-10-20vs SGV Dare Doubles-Wang-WN/SAWon 10
W#1 DoublesMandi Collier / Eugene Tran vs Jasmine Dai / Ivan Salazar6-1, 6-3
L#1 DoublesEdgar Bove / Mandi Collier vs Lauren Hummel / Hirsch Matani4-6, 1-6
2024-09-28vs SGV Dare Doubles-Wang-WN/SAWon 10
W#1 DoublesRobert Birmingham / Mandi Collier vs Jasmine Dai / Kevin Ikuta6-0, 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 SGV 3.5 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 3.86 estimated across 16 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.

4.69
Mandi Collier
usually #1 Doubles 100% · published 5
4.49
Lauren Nicole Finke
published
4.46
Jinna Johnson
published
4.43
EDWARD CHOI
published
4.26
Edgar Bove
published
4.22
Colin Tang
published 4
4.21
Eugene Tran
published
3.70
Jenna Parker
published
3.63
Madeline Chang
published
3.58
Lynn Chen
published
3.52
Anthony Lim
published 4
3.52
Priscilla Chieng
published
3.46
Laurie Manley
published
3.27
Tony Law
published
3.26
Peter Cheng
published
3.03
Jocelyn Lee
published
Hank Gwon
published
Robert Birmingham
published
Yoshiki Hisamoto
published
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 · 3 lines in 2024
no projection at this level
4.69
Lauren Nicole Finke
7W–7L career · no lines in 2024
no projection at this level
4.49
Jinna Johnson
0W–6L career · no lines in 2024
no projection at this level
4.46
EDWARD CHOI
4W–9L career · no lines in 2024
no projection at this level
4.43
Edgar Bove
9W–3L career · no lines in 2024
<1%3%97%
4.26
4.5
Christopher Contreras
5W–7L career · no lines in 2024
not enough data
4
Colin Tang
17W–2L career · no lines in 2024
<1%6%94%
4.22
Eugene Tran
5W–9L career · no lines in 2024
<1%7%93%
4.21
Jenna Parker
6W–3L career · no lines in 2024
8%91%2%
3.70
Madeline Chang
27W–4L career · no lines in 2024
<1%<1%>99%
3.63
Lynn Chen
13W–2L career · no lines in 2024
<1%<1%>99%
3.58
4
Anthony Lim
8W–0L career · no lines in 2024
45%55%<1%
3.52
Priscilla Chieng
7W–4L career · no lines in 2024
45%55%<1%
3.52
Laurie Manley
8W–9L career · no lines in 2024
61%39%<1%
3.46
Tony Law
6W–8L career · no lines in 2024
3%92%5%
3.27
Peter Cheng
7W–4L career · no lines in 2024
<1%3%97%
3.26
Jocelyn Lee
18W–3L career · no lines in 2024
<1%41%59%
3.03
Hank Gwon
3W–3L career · no lines in 2024
not enough data
Robert Birmingham
4W–4L career · no lines in 2024
not enough data
Yoshiki Hisamoto
5W–0L 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.