Teams

SGV Tennis Addicts-Lee-Arroyo HS/SU12

2025 Mixed Tri Level - 18 & Over - San Gabriel Valley · SGV 3.5

24 players · average NTRP 3.81 / SO.CALIFORNIA

View scouting list →
Schedule3 played
L#3 DoublesJasen Ha / Sherie Paulson vs Jocelyn Lee / Jin Lee2-6, 6-3, 1-0
L#1 DoublesKarla Garcia / Minh Tang vs Megan Bee / Hirsch Matani0-6, 2-6
L#2 DoublesArthur Chmielewski / Kasia Chmielewski vs Priscilla Chieng / Hank Gwon2-6, 1-6
L#2 DoublesSherie Paulson / Arthur Chmielewski vs Julie Flygare / Hank Gwon0-6, 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 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 3.57 estimated across 21 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.

3.94
Ming-Ming Peng
usually #1 Doubles 100% · published 4
3.87
Wenli Chen
published
3.86
James Lee
published 4
3.83
Manoj Parmar
usually #2 Doubles 40%, also #1 Doubles 40% · published 4
3.80
Karla Garcia
usually #1 Doubles 100% · published
3.76
Daniel Ochoa
published 4.5
Candice Hung
published 4
3.74
Kasia Chmielewski
usually #2 Doubles 100% · published
3.73
Michelle Wong
published
3.69
Christopher Nguy
published 4.5
3.68
Ethan Park
published 3.5
3.57
Dorothy Chung
published 3.5
3.55
Jenny Lin
published
3.51
Arthur Chmielewski
usually #2 Doubles 100% · published 3.5
3.49
Ramiro Rivas
published
3.45
Jasen Ha
published
3.43
Sherie Paulson
usually #2 Doubles 50%, also #3 Doubles 50% · published 3.5
3.40
brian Lee
published
3.29
Jai Dicipulo
published 4
3.29
Melissa Lor
published
3.18
Sandy Mandel
published 3.5
2.89
Amy Soong Tsai
usually #1 Doubles 40%, also #3 Doubles 40% · published 3
Loretta Peng
published
Minh Tang
usually #1 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.

Manoj Parmar + Amy Soong Tsai10368% games+4.4% vs expected
James Lee + Michelle Wong4458% gamesnot enough data
Michelle Wong + Ethan Park224 matchesnot enough data
Arthur Chmielewski + Karla Garcia033 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.

4
Ming-Ming Peng
52W–35L career · 2 lines in 2025
<1%67%33%
3.94
Wenli Chen
5W–10L career · no lines in 2025
85%15%<1%
3.87
4
James Lee
26W–15L career · no lines in 2025
<1%85%14%
3.86
4
Manoj Parmar
149W–42L career · 5 lines in 2025
1%90%9%
3.83
Karla Garcia
2W–18L career · 1 line in 2025
94%6%<1%
3.80
4.5
Daniel Ochoa
2W–3L career · no lines in 2025
97%3%<1%
3.76
4
Candice Hung
0W–1L career · no lines in 2025
not enough data
Kasia Chmielewski
9W–12L career · 1 line in 2025
3%94%2%
3.74
Michelle Wong
23W–7L career · no lines in 2025
<1%4%96%
3.73
4.5
Christopher Nguy
2W–2L career · no lines in 2025
99%1%<1%
3.69
3.5
Ethan Park
32W–6L career · no lines in 2025
<1%8%92%
3.68
3.5
Dorothy Chung
92W–32L career · no lines in 2025
<1%28%72%
3.57
Jenny Lin
14W–18L career · no lines in 2025
35%65%<1%
3.55
3.5
Arthur Chmielewski
15W–14L career · 1 line in 2025
<1%48%52%
3.51
Ramiro Rivas
28W–18L career · no lines in 2025
<1%52%48%
3.49
Jasen Ha
17W–4L career · no lines in 2025
<1%65%35%
3.45
3.5
Sherie Paulson
102W–61L career · 2 lines in 2025
<1%71%29%
3.43
brian Lee
4W–2L career · no lines in 2025
<1%77%23%
3.40
4
Jai Dicipulo
4W–14L career · type A · no lines in 2025
94%6%<1%
3.29
Melissa Lor
14W–8L career · no lines in 2025
1%93%5%
3.29
3.5
Sandy Mandel
70W–85L career · no lines in 2025
9%91%1%
3.18
3
Amy Soong Tsai
89W–60L career · 5 lines in 2025
<1%80%19%
2.89
Loretta Peng
0W–2L career · no lines in 2025
not enough data
Minh Tang
0W–2L 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.