Teams

SUNNYVALE MTC 18MX8.0C

2025 MIXED 18&Over · 18&Over MX8.0

21 players · average NTRP 4.12 / 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 18&Over MX8.0 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 3.74 estimated across 17 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.

4.39
Eric Xu
published
4.29
Brian Heimbecker
usually #2 Doubles 70%, also #1 Doubles 30% · published 5
4.09
Kevin Liang
published
3.94
Calvin Chang
published 4
3.92
Don Scettrini
usually #3 Doubles 100% · published
3.79
Tien-Hsin Lin
published
3.77
Shang Liu
published
3.73
Bowyee Gong
published 4
3.69
Dongning Ma
published
3.68
Runa Koizumi
usually #3 Doubles 100% · published
3.62
ZIXIAO CHENG
usually #3 Doubles 100% · published
3.52
Juan Pablo Q Weston
published
3.46
Lufei Wang
published
3.46
Fang Wong
published
3.40
Alicia Sim
published 3.5
3.40
Huan Ren
published
3.33
Wei-Cheng Kuo
published
Marsha Heimbecker
published
Martin Chan
published
Mike Zhou
published
Sharon Yang
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.

Shang Liu + Fang Wong5458% games+11.2% vs expected
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.

Eric Xu
30W–4L career · no lines in 2025
<1%77%23%
4.39
5
Brian Heimbecker
367W–83L career · 10 lines in 2025
no projection at this level
4.29
Kevin Liang
8W–12L career · no lines in 2025
26%74%<1%
4.09
4
Calvin Chang
18W–6L career · no lines in 2025
<1%67%33%
3.94
Don Scettrini
20W–8L career · 1 line in 2025
70%30%<1%
3.92
Tien-Hsin Lin
19W–17L career · no lines in 2025
2%91%7%
3.79
Shang Liu
40W–31L career · no lines in 2025
2%92%5%
3.77
4
Bowyee Gong
41W–25L career · no lines in 2025
5%92%3%
3.73
Dongning Ma
13W–27L career · no lines in 2025
8%90%1%
3.69
Runa Koizumi
40W–20L career · 1 line in 2025
<1%10%90%
3.68
ZIXIAO CHENG
12W–11L career · 1 line in 2025
<1%19%81%
3.62
Juan Pablo Q Weston
7W–8L career · no lines in 2025
44%56%<1%
3.52
Lufei Wang
9W–8L career · no lines in 2025
<1%60%40%
3.46
Fang Wong
37W–29L career · no lines in 2025
<1%63%37%
3.46
3.5
Alicia Sim
5W–5L career · no lines in 2025
<1%75%25%
3.40
Huan Ren
13W–13L career · no lines in 2025
<1%77%23%
3.40
Wei-Cheng Kuo
8W–9L career · no lines in 2025
1%87%12%
3.33
Marsha Heimbecker
2W–1L career · no lines in 2025
not enough data
Martin Chan
4W–5L career · no lines in 2025
not enough data
Mike Zhou
4W–3L career · no lines in 2025
not enough data
Sharon Yang
2W–3L 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.