Teams

SUNNYVALE MTC 18AW3.5C

2025 ADULT 18&Over · Women's 3.5

19 players · average NTRP 3.25 / NO. 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 →

Flight standings for Women's 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 3.25 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.

3.61
Mai Pham
published
3.44
Aline Lima
published 3.5
3.41
Laura Leafstrand
published
3.35
Jing Shi
published
3.34
Jieying Shi
published
3.31
Nikki Chen
usually #3 Doubles 50%, also #2 Singles 25% · published
3.31
Hyeyun Jeong
usually #1 Doubles 100% · published
3.30
Ieda Garcia
published
3.28
Viviane Bahia
published
3.24
Mimi Fichter
usually #1 Doubles 100% · published
3.19
Xuan Wei
usually #2 Doubles 67%, also #1 Doubles 33% · published
3.19
JIA CHEN
usually #2 Doubles 67%, also #2 Singles 33% · published
3.18
Jiamin Chen
published
3.02
YANG LUO
usually #3 Doubles 100% · published
2.93
Ashley Unyoung Kim
usually #2 Doubles 50%, also #1 Doubles 50% · published 3
2.88
Jiyoun Noh
usually #1 Doubles 50%, also #2 Doubles 50% · published
Marsha Heimbecker
published
Nik Pham
published
Soo Shin
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.

Viviane Bahia + Aline Lima17659% games+8.5% vs expected
Laura Leafstrand + Hyeyun Jeong6454% games−2.7% vs expected
Jing Shi + Nikki Chen5069% gamesnot enough data
Ashley Unyoung Kim + Hyeyun Jeong314 matchesnot enough data
Ieda Garcia + Ashley Unyoung Kim033 matchesnot enough data
Ashley Unyoung Kim + Jiyoun Noh033 matchesnot enough data
Viviane Bahia + Mimi Fichter213 matchesnot enough data
Hyeyun Jeong + Jiyoun Noh123 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.

Mai Pham
37W–9L career · no lines in 2025
<1%22%78%
3.61
3.5
Aline Lima
41W–27L career · no lines in 2025
<1%68%32%
3.44
Laura Leafstrand
37W–20L career · no lines in 2025
<1%74%26%
3.41
Jing Shi
24W–15L career · no lines in 2025
1%85%14%
3.35
Jieying Shi
36W–12L career · no lines in 2025
1%86%13%
3.34
Nikki Chen
29W–5L career · 4 lines in 2025
1%89%9%
3.31
Hyeyun Jeong
32W–24L career · 2 lines in 2025
1%90%8%
3.31
Ieda Garcia
51W–38L career · no lines in 2025
2%91%8%
3.30
Viviane Bahia
42W–24L career · no lines in 2025
2%92%6%
3.28
Mimi Fichter
37W–18L career · 1 line in 2025
5%92%3%
3.24
Xuan Wei
35W–10L career · 3 lines in 2025
<1%8%92%
3.19
JIA CHEN
14W–12L career · 3 lines in 2025
9%90%1%
3.19
Jiamin Chen
25W–10L career · no lines in 2025
<1%10%90%
3.18
YANG LUO
27W–13L career · 3 lines in 2025
<1%45%55%
3.02
3
Ashley Unyoung Kim
37W–41L career · 2 lines in 2025
<1%70%30%
2.93
Jiyoun Noh
20W–24L career · 2 lines in 2025
<1%80%20%
2.88
Marsha Heimbecker
2W–1L career · no lines in 2025
not enough data
Nik Pham
0W–5L career · no lines in 2025
not enough data
Soo Shin
4W–4L career · no lines 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.